step 0: train loss 11.0951, val loss 11.1023
step 0: train loss 11.0951, val loss 11.1023
step 1000: train loss 5.6172, val loss 5.6193
step 2000: train loss 4.8330, val loss 4.8432
step 3000: train loss 4.2518, val loss 4.2766
step 4000: train loss 4.0355, val loss 4.0465
step 5000: train loss 3.8581, val loss 3.8981
step 6000: train loss 3.8029, val loss 3.8300
step 7000: train loss 3.7172, val loss 3.7014
step 8000: train loss 3.6095, val loss 3.6572
step 9000: train loss 3.5964, val loss 3.6163
step 10000: train loss 3.5998, val loss 3.5697
step 11000: train loss 3.6010, val loss 3.5380
step 12000: train loss 3.5005, val loss 3.5232
step 13000: train loss 3.5091, val loss 3.4820
step 14000: train loss 3.4412, val loss 3.4590
step 15000: train loss 3.4667, val loss 3.4239
step 16000: train loss 3.4195, val loss 3.4171
step 17000: train loss 3.4220, val loss 3.4239
step 18000: train loss 3.3905, val loss 3.3991
step 19000: train loss 3.3801, val loss 3.3729
step 20000: train loss 3.3267, val loss 3.3657
step 21000: train loss 3.3499, val loss 3.3516
step 22000: train loss 3.3205, val loss 3.3607
step 23000: train loss 3.3026, val loss 3.3351
step 24000: train loss 3.3171, val loss 3.3394
step 25000: train loss 3.3254, val loss 3.3249
step 26000: train loss 3.2590, val loss 3.3060
step 27000: train loss 3.2653, val loss 3.2802
step 28000: train loss 3.2973, val loss 3.3056
step 29000: train loss 3.2514, val loss 3.2561
step 30000: train loss 3.2664, val loss 3.2861
step 31000: train loss 3.2714, val loss 3.2758
step 32000: train loss 3.2482, val loss 3.2753
step 33000: train loss 3.2650, val loss 3.2448
step 34000: train loss 3.2277, val loss 3.2550
step 35000: train loss 3.2086, val loss 3.2499
step 36000: train loss 3.2076, val loss 3.2323
step 37000: train loss 3.1923, val loss 3.1921
step 38000: train loss 3.2156, val loss 3.2300
step 39000: train loss 3.1733, val loss 3.1710
step 40000: train loss 3.2204, val loss 3.2239
step 41000: train loss 3.1760, val loss 3.1843
step 42000: train loss 3.2275, val loss 3.1875
step 43000: train loss 3.1755, val loss 3.1854
step 44000: train loss 3.1795, val loss 3.1672
step 45000: train loss 3.1917, val loss 3.1718
step 46000: train loss 3.1632, val loss 3.1714
step 47000: train loss 3.1273, val loss 3.1707
step 48000: train loss 3.1490, val loss 3.1173
step 49000: train loss 3.1302, val loss 3.1553
step 50000: train loss 3.1829, val loss 3.1726
step 51000: train loss 3.1715, val loss 3.1877
step 52000: train loss 3.1615, val loss 3.1665
step 53000: train loss 3.1300, val loss 3.1286
step 54000: train loss 3.1231, val loss 3.1595
step 55000: train loss 3.1257, val loss 3.1497
step 56000: train loss 3.1286, val loss 3.1641
step 57000: train loss 3.1700, val loss 3.1202
step 58000: train loss 3.1427, val loss 3.1618
step 59000: train loss 3.1148, val loss 3.1501
step 60000: train loss 3.1378, val loss 3.1302
step 61000: train loss 3.1293, val loss 3.1184
step 62000: train loss 3.1381, val loss 3.0921
step 63000: train loss 3.1094, val loss 3.1259
step 64000: train loss 3.1057, val loss 3.1093
step 65000: train loss 3.0972, val loss 3.1048
step 66000: train loss 3.0774, val loss 3.1161
step 67000: train loss 3.0752, val loss 3.1151
step 68000: train loss 3.0737, val loss 3.1021
step 69000: train loss 3.0499, val loss 3.1068
step 70000: train loss 3.1203, val loss 3.0938
step 71000: train loss 3.0813, val loss 3.0925
step 72000: train loss 3.0695, val loss 3.0607
step 73000: train loss 3.1015, val loss 3.0849
step 74000: train loss 3.1098, val loss 3.0481
step 75000: train loss 3.0779, val loss 3.0750
step 76000: train loss 3.1067, val loss 3.1105
step 77000: train loss 3.0578, val loss 3.0603
step 78000: train loss 3.0550, val loss 3.0851
step 79000: train loss 3.0651, val loss 3.0957
step 80000: train loss 3.0809, val loss 3.0729
step 81000: train loss 3.0639, val loss 3.0827
step 82000: train loss 3.0695, val loss 3.0611
step 83000: train loss 3.0369, val loss 3.0815
step 84000: train loss 3.0591, val loss 3.0790
step 85000: train loss 3.0753, val loss 3.0548
step 86000: train loss 3.0587, val loss 3.0436
step 87000: train loss 3.0544, val loss 3.0543
step 88000: train loss 3.0258, val loss 3.0460
step 89000: train loss 3.0346, val loss 3.0544
step 90000: train loss 3.0241, val loss 3.0604
step 91000: train loss 3.0429, val loss 3.0451
step 92000: train loss 3.0088, val loss 3.0333
step 93000: train loss 3.0171, val loss 3.0230
step 94000: train loss 3.0160, val loss 3.0202
step 95000: train loss 3.0110, val loss 3.0153
step 96000: train loss 3.0348, val loss 2.9840
step 97000: train loss 3.0263, val loss 3.0372
step 98000: train loss 3.0389, val loss 3.0726
step 99000: train loss 3.0226, val loss 3.0126
step 100000: train loss 2.9995, val loss 3.0541
step 101000: train loss 2.9795, val loss 3.0536
step 102000: train loss 2.9952, val loss 2.9772
step 103000: train loss 3.0272, val loss 3.0169
step 104000: train loss 2.9765, val loss 2.9901
step 105000: train loss 3.0344, val loss 2.9951
step 106000: train loss 2.9555, val loss 3.0339
step 107000: train loss 3.0189, val loss 3.0006
step 108000: train loss 2.9654, val loss 3.0066
step 109000: train loss 2.9599, val loss 2.9680
step 110000: train loss 2.9497, val loss 2.9949
step 111000: train loss 2.9798, val loss 2.9674
step 112000: train loss 2.9763, val loss 2.9485
step 113000: train loss 3.0151, val loss 3.0002
step 114000: train loss 3.0099, val loss 2.9758
step 115000: train loss 2.9662, val loss 2.9617
step 116000: train loss 2.9568, val loss 2.9961
step 117000: train loss 2.9471, val loss 2.9808
step 118000: train loss 2.9599, val loss 2.9606
step 119000: train loss 2.9327, val loss 2.9789
step 120000: train loss 2.9555, val loss 2.9590
step 121000: train loss 2.9855, val loss 2.9936
step 122000: train loss 2.9382, val loss 2.9735
step 123000: train loss 2.9432, val loss 2.9558
step 124000: train loss 2.9539, val loss 2.9759
step 125000: train loss 2.9375, val loss 2.9637
step 126000: train loss 2.9271, val loss 2.9392
step 127000: train loss 2.9225, val loss 2.9479
step 128000: train loss 2.9642, val loss 2.9435
step 129000: train loss 2.9363, val loss 2.9789
step 130000: train loss 2.9094, val loss 2.9163
step 131000: train loss 2.9595, val loss 2.9594
step 132000: train loss 2.9408, val loss 2.9816
step 133000: train loss 2.9219, val loss 2.9270
step 134000: train loss 2.9527, val loss 2.9484
step 135000: train loss 2.9255, val loss 2.9329
step 136000: train loss 2.9286, val loss 2.9285
step 137000: train loss 2.9228, val loss 2.9223
step 138000: train loss 2.9038, val loss 2.9399
step 139000: train loss 2.8874, val loss 2.9305
step 140000: train loss 2.9113, val loss 2.9704
step 141000: train loss 2.8818, val loss 2.9373
step 142000: train loss 2.8786, val loss 2.9180
step 143000: train loss 2.9119, val loss 2.9188
step 144000: train loss 2.8909, val loss 2.9109
step 145000: train loss 2.8711, val loss 2.9127
step 146000: train loss 2.9141, val loss 2.9611
step 147000: train loss 2.8872, val loss 2.8916
step 148000: train loss 2.8847, val loss 2.9207
step 149000: train loss 2.9103, val loss 2.9509
step 150000: train loss 2.9053, val loss 2.9170
step 151000: train loss 2.8856, val loss 2.9037
step 152000: train loss 2.8981, val loss 2.8845
step 153000: train loss 2.8820, val loss 2.8989
step 154000: train loss 2.8610, val loss 2.8846
step 155000: train loss 2.9006, val loss 2.9069
step 156000: train loss 2.8733, val loss 2.8454
step 157000: train loss 2.8509, val loss 2.8885
step 158000: train loss 2.8584, val loss 2.8688
step 159000: train loss 2.8457, val loss 2.8927
step 160000: train loss 2.8533, val loss 2.8720
step 161000: train loss 2.8864, val loss 2.8680
step 162000: train loss 2.8932, val loss 2.8943
step 163000: train loss 2.8848, val loss 2.8541
step 164000: train loss 2.8740, val loss 2.8872
step 165000: train loss 2.8474, val loss 2.8761
step 166000: train loss 2.8637, val loss 2.8728
step 167000: train loss 2.8476, val loss 2.8727
step 168000: train loss 2.8349, val loss 2.8996
step 169000: train loss 2.8322, val loss 2.8439
step 170000: train loss 2.8388, val loss 2.8806
step 171000: train loss 2.8294, val loss 2.8703
step 172000: train loss 2.8436, val loss 2.9024
step 173000: train loss 2.8147, val loss 2.8752
step 174000: train loss 2.8359, val loss 2.8688
step 175000: train loss 2.8556, val loss 2.8639
step 176000: train loss 2.8248, val loss 2.8605
step 177000: train loss 2.8338, val loss 2.8290
step 178000: train loss 2.8380, val loss 2.8516
step 179000: train loss 2.8516, val loss 2.8547
step 180000: train loss 2.8095, val loss 2.8633
step 181000: train loss 2.8554, val loss 2.8750
step 182000: train loss 2.8355, val loss 2.8467
step 183000: train loss 2.8199, val loss 2.8139
step 184000: train loss 2.8240, val loss 2.8331
step 185000: train loss 2.8279, val loss 2.8711
step 186000: train loss 2.8165, val loss 2.8493
step 187000: train loss 2.7978, val loss 2.8222
step 188000: train loss 2.8393, val loss 2.8506
step 189000: train loss 2.8066, val loss 2.9130
step 190000: train loss 2.8561, val loss 2.8539
step 191000: train loss 2.8251, val loss 2.8515
step 192000: train loss 2.8005, val loss 2.8141
step 193000: train loss 2.8103, val loss 2.8085
step 194000: train loss 2.8134, val loss 2.8743
step 195000: train loss 2.8207, val loss 2.8209
step 196000: train loss 2.8112, val loss 2.8621
step 197000: train loss 2.7979, val loss 2.8231
step 198000: train loss 2.8004, val loss 2.8260
step 198000: train loss 2.8089, val loss 2.8438
step 199000: train loss 2.7918, val loss 2.8215
step 200000: train loss 2.8245, val loss 2.8470
