
📌 Retain class distribution for seed 6:
Class 0: 450
Class 1: 450
Class 2: 450
Class 3: 450
Class 4: 450
Class 5: 450
Class 6: 450
Class 7: 450
Class 8: 450
Class 9: 450
Class 10: 450
Class 11: 450
Class 12: 450
Class 13: 450
Class 14: 450
Class 15: 450
Class 16: 450
Class 17: 450
Class 18: 450
Class 19: 450
Class 20: 450
Class 21: 450
Class 22: 450
Class 23: 450
Class 24: 450
Class 25: 450
Class 26: 450
Class 27: 450
Class 28: 450
Class 29: 450
Class 30: 450
Class 31: 450
Class 32: 450
Class 33: 450
Class 34: 450
Class 35: 450
Class 36: 450
Class 37: 450
Class 38: 450
Class 39: 450
Class 40: 450
Class 41: 450
Class 42: 450
Class 43: 450
Class 44: 450
Class 45: 450
Class 46: 450
Class 47: 450
Class 48: 450
Class 49: 450
Class 50: 450
Class 51: 450
Class 52: 450
Class 53: 450
Class 54: 450
Class 55: 450
Class 56: 450
Class 57: 450
Class 58: 450
Class 59: 450
Class 60: 450
Class 61: 450
Class 62: 450
Class 63: 450
Class 64: 450
Class 65: 450
Class 66: 450
Class 67: 450
Class 68: 450
Class 69: 450
Class 70: 450
Class 71: 450
Class 72: 450
Class 73: 450
Class 74: 450
Class 75: 450
Class 76: 450
Class 77: 450
Class 78: 450
Class 79: 450
Class 80: 450
Class 81: 450
Class 82: 450
Class 83: 450
Class 84: 450
Class 85: 450
Class 86: 450
Class 87: 450
Class 88: 450
Class 89: 450
Class 90: 450
Class 91: 450
Class 92: 450
Class 93: 450
Class 94: 450
Class 95: 450
Class 96: 450
Class 97: 450
Class 98: 450
Class 99: 450

📌 Forget class distribution for seed 6:
Class 0: 50
Class 1: 50
Class 2: 50
Class 3: 50
Class 4: 50
Class 5: 50
Class 6: 50
Class 7: 50
Class 8: 50
Class 9: 50
Class 10: 50
Class 11: 50
Class 12: 50
Class 13: 50
Class 14: 50
Class 15: 50
Class 16: 50
Class 17: 50
Class 18: 50
Class 19: 50
Class 20: 50
Class 21: 50
Class 22: 50
Class 23: 50
Class 24: 50
Class 25: 50
Class 26: 50
Class 27: 50
Class 28: 50
Class 29: 50
Class 30: 50
Class 31: 50
Class 32: 50
Class 33: 50
Class 34: 50
Class 35: 50
Class 36: 50
Class 37: 50
Class 38: 50
Class 39: 50
Class 40: 50
Class 41: 50
Class 42: 50
Class 43: 50
Class 44: 50
Class 45: 50
Class 46: 50
Class 47: 50
Class 48: 50
Class 49: 50
Class 50: 50
Class 51: 50
Class 52: 50
Class 53: 50
Class 54: 50
Class 55: 50
Class 56: 50
Class 57: 50
Class 58: 50
Class 59: 50
Class 60: 50
Class 61: 50
Class 62: 50
Class 63: 50
Class 64: 50
Class 65: 50
Class 66: 50
Class 67: 50
Class 68: 50
Class 69: 50
Class 70: 50
Class 71: 50
Class 72: 50
Class 73: 50
Class 74: 50
Class 75: 50
Class 76: 50
Class 77: 50
Class 78: 50
Class 79: 50
Class 80: 50
Class 81: 50
Class 82: 50
Class 83: 50
Class 84: 50
Class 85: 50
Class 86: 50
Class 87: 50
Class 88: 50
Class 89: 50
Class 90: 50
Class 91: 50
Class 92: 50
Class 93: 50
Class 94: 50
Class 95: 50
Class 96: 50
Class 97: 50
Class 98: 50
Class 99: 50

📊 Updated class distribution:
Retain set:
  Class 0: 462
  Class 1: 462
  Class 2: 462
  Class 3: 462
  Class 4: 462
  Class 5: 462
  Class 6: 462
  Class 7: 462
  Class 8: 462
  Class 9: 462
  Class 10: 462
  Class 11: 462
  Class 12: 462
  Class 13: 462
  Class 14: 462
  Class 15: 462
  Class 16: 462
  Class 17: 462
  Class 18: 462
  Class 19: 462
  Class 20: 462
  Class 21: 462
  Class 22: 462
  Class 23: 462
  Class 24: 462
  Class 25: 462
  Class 26: 462
  Class 27: 462
  Class 28: 462
  Class 29: 462
  Class 30: 462
  Class 31: 462
  Class 32: 462
  Class 33: 462
  Class 34: 462
  Class 35: 462
  Class 36: 462
  Class 37: 462
  Class 38: 462
  Class 39: 462
  Class 40: 462
  Class 41: 462
  Class 42: 462
  Class 43: 462
  Class 44: 462
  Class 45: 462
  Class 46: 462
  Class 47: 462
  Class 48: 462
  Class 49: 462
  Class 50: 462
  Class 51: 462
  Class 52: 462
  Class 53: 462
  Class 54: 462
  Class 55: 462
  Class 56: 462
  Class 57: 462
  Class 58: 462
  Class 59: 462
  Class 60: 462
  Class 61: 462
  Class 62: 462
  Class 63: 462
  Class 64: 462
  Class 65: 462
  Class 66: 462
  Class 67: 462
  Class 68: 462
  Class 69: 462
  Class 70: 462
  Class 71: 462
  Class 72: 462
  Class 73: 462
  Class 74: 462
  Class 75: 462
  Class 76: 462
  Class 77: 462
  Class 78: 462
  Class 79: 462
  Class 80: 462
  Class 81: 462
  Class 82: 462
  Class 83: 462
  Class 84: 462
  Class 85: 462
  Class 86: 462
  Class 87: 462
  Class 88: 462
  Class 89: 462
  Class 90: 462
  Class 91: 462
  Class 92: 462
  Class 93: 462
  Class 94: 462
  Class 95: 462
  Class 96: 462
  Class 97: 462
  Class 98: 462
  Class 99: 462
Forget set:
  Class 0: 38
  Class 1: 38
  Class 2: 38
  Class 3: 38
  Class 4: 38
  Class 5: 38
  Class 6: 38
  Class 7: 38
  Class 8: 38
  Class 9: 38
  Class 10: 38
  Class 11: 38
  Class 12: 38
  Class 13: 38
  Class 14: 38
  Class 15: 38
  Class 16: 38
  Class 17: 38
  Class 18: 38
  Class 19: 38
  Class 20: 38
  Class 21: 38
  Class 22: 38
  Class 23: 38
  Class 24: 38
  Class 25: 38
  Class 26: 38
  Class 27: 38
  Class 28: 38
  Class 29: 38
  Class 30: 38
  Class 31: 38
  Class 32: 38
  Class 33: 38
  Class 34: 38
  Class 35: 38
  Class 36: 38
  Class 37: 38
  Class 38: 38
  Class 39: 38
  Class 40: 38
  Class 41: 38
  Class 42: 38
  Class 43: 38
  Class 44: 38
  Class 45: 38
  Class 46: 38
  Class 47: 38
  Class 48: 38
  Class 49: 38
  Class 50: 38
  Class 51: 38
  Class 52: 38
  Class 53: 38
  Class 54: 38
  Class 55: 38
  Class 56: 38
  Class 57: 38
  Class 58: 38
  Class 59: 38
  Class 60: 38
  Class 61: 38
  Class 62: 38
  Class 63: 38
  Class 64: 38
  Class 65: 38
  Class 66: 38
  Class 67: 38
  Class 68: 38
  Class 69: 38
  Class 70: 38
  Class 71: 38
  Class 72: 38
  Class 73: 38
  Class 74: 38
  Class 75: 38
  Class 76: 38
  Class 77: 38
  Class 78: 38
  Class 79: 38
  Class 80: 38
  Class 81: 38
  Class 82: 38
  Class 83: 38
  Class 84: 38
  Class 85: 38
  Class 86: 38
  Class 87: 38
  Class 88: 38
  Class 89: 38
  Class 90: 38
  Class 91: 38
  Class 92: 38
  Class 93: 38
  Class 94: 38
  Class 95: 38
  Class 96: 38
  Class 97: 38
  Class 98: 38
  Class 99: 38
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/46200]	Loss: 3.1962	LR: 0.000000
Training Epoch: 1 [512/46200]	Loss: 3.1708	LR: 0.000552
Training Epoch: 1 [768/46200]	Loss: 3.1412	LR: 0.001105
Training Epoch: 1 [1024/46200]	Loss: 3.1866	LR: 0.001657
Training Epoch: 1 [1280/46200]	Loss: 3.1382	LR: 0.002210
Training Epoch: 1 [1536/46200]	Loss: 3.0405	LR: 0.002762
Training Epoch: 1 [1792/46200]	Loss: 3.0048	LR: 0.003315
Training Epoch: 1 [2048/46200]	Loss: 2.9619	LR: 0.003867
Training Epoch: 1 [2304/46200]	Loss: 2.9190	LR: 0.004420
Training Epoch: 1 [2560/46200]	Loss: 2.9107	LR: 0.004972
Training Epoch: 1 [2816/46200]	Loss: 2.9374	LR: 0.005525
Training Epoch: 1 [3072/46200]	Loss: 3.0080	LR: 0.006077
Training Epoch: 1 [3328/46200]	Loss: 2.9396	LR: 0.006630
Training Epoch: 1 [3584/46200]	Loss: 2.8815	LR: 0.007182
Training Epoch: 1 [3840/46200]	Loss: 2.9332	LR: 0.007735
Training Epoch: 1 [4096/46200]	Loss: 2.8507	LR: 0.008287
Training Epoch: 1 [4352/46200]	Loss: 2.7793	LR: 0.008840
Training Epoch: 1 [4608/46200]	Loss: 2.7582	LR: 0.009392
Training Epoch: 1 [4864/46200]	Loss: 2.8700	LR: 0.009945
Training Epoch: 1 [5120/46200]	Loss: 2.7015	LR: 0.010497
Training Epoch: 1 [5376/46200]	Loss: 2.6728	LR: 0.011050
Training Epoch: 1 [5632/46200]	Loss: 2.6777	LR: 0.011602
Training Epoch: 1 [5888/46200]	Loss: 2.5881	LR: 0.012155
Training Epoch: 1 [6144/46200]	Loss: 2.6693	LR: 0.012707
Training Epoch: 1 [6400/46200]	Loss: 2.6900	LR: 0.013260
Training Epoch: 1 [6656/46200]	Loss: 2.6420	LR: 0.013812
Training Epoch: 1 [6912/46200]	Loss: 2.6345	LR: 0.014365
Training Epoch: 1 [7168/46200]	Loss: 2.6339	LR: 0.014917
Training Epoch: 1 [7424/46200]	Loss: 2.7298	LR: 0.015470
Training Epoch: 1 [7680/46200]	Loss: 2.9218	LR: 0.016022
Training Epoch: 1 [7936/46200]	Loss: 2.6952	LR: 0.016575
Training Epoch: 1 [8192/46200]	Loss: 2.8226	LR: 0.017127
Training Epoch: 1 [8448/46200]	Loss: 2.6114	LR: 0.017680
Training Epoch: 1 [8704/46200]	Loss: 2.7173	LR: 0.018232
Training Epoch: 1 [8960/46200]	Loss: 2.5757	LR: 0.018785
Training Epoch: 1 [9216/46200]	Loss: 2.6252	LR: 0.019337
Training Epoch: 1 [9472/46200]	Loss: 2.5768	LR: 0.019890
Training Epoch: 1 [9728/46200]	Loss: 2.5814	LR: 0.020442
Training Epoch: 1 [9984/46200]	Loss: 2.5844	LR: 0.020994
Training Epoch: 1 [10240/46200]	Loss: 2.7216	LR: 0.021547
Training Epoch: 1 [10496/46200]	Loss: 2.6029	LR: 0.022099
Training Epoch: 1 [10752/46200]	Loss: 2.7064	LR: 0.022652
Training Epoch: 1 [11008/46200]	Loss: 2.5590	LR: 0.023204
Training Epoch: 1 [11264/46200]	Loss: 2.5327	LR: 0.023757
Training Epoch: 1 [11520/46200]	Loss: 2.6775	LR: 0.024309
Training Epoch: 1 [11776/46200]	Loss: 2.6096	LR: 0.024862
Training Epoch: 1 [12032/46200]	Loss: 2.5699	LR: 0.025414
Training Epoch: 1 [12288/46200]	Loss: 2.7327	LR: 0.025967
Training Epoch: 1 [12544/46200]	Loss: 2.6240	LR: 0.026519
Training Epoch: 1 [12800/46200]	Loss: 2.6584	LR: 0.027072
Training Epoch: 1 [13056/46200]	Loss: 2.6239	LR: 0.027624
Training Epoch: 1 [13312/46200]	Loss: 2.5732	LR: 0.028177
Training Epoch: 1 [13568/46200]	Loss: 2.5485	LR: 0.028729
Training Epoch: 1 [13824/46200]	Loss: 2.5804	LR: 0.029282
Training Epoch: 1 [14080/46200]	Loss: 2.5930	LR: 0.029834
Training Epoch: 1 [14336/46200]	Loss: 2.5701	LR: 0.030387
Training Epoch: 1 [14592/46200]	Loss: 2.6077	LR: 0.030939
Training Epoch: 1 [14848/46200]	Loss: 2.5552	LR: 0.031492
Training Epoch: 1 [15104/46200]	Loss: 2.5363	LR: 0.032044
Training Epoch: 1 [15360/46200]	Loss: 2.5980	LR: 0.032597
Training Epoch: 1 [15616/46200]	Loss: 2.6163	LR: 0.033149
Training Epoch: 1 [15872/46200]	Loss: 2.5735	LR: 0.033702
Training Epoch: 1 [16128/46200]	Loss: 2.6565	LR: 0.034254
Training Epoch: 1 [16384/46200]	Loss: 2.6554	LR: 0.034807
Training Epoch: 1 [16640/46200]	Loss: 2.6691	LR: 0.035359
Training Epoch: 1 [16896/46200]	Loss: 2.6292	LR: 0.035912
Training Epoch: 1 [17152/46200]	Loss: 2.6453	LR: 0.036464
Training Epoch: 1 [17408/46200]	Loss: 2.6129	LR: 0.037017
Training Epoch: 1 [17664/46200]	Loss: 2.5092	LR: 0.037569
Training Epoch: 1 [17920/46200]	Loss: 2.3630	LR: 0.038122
Training Epoch: 1 [18176/46200]	Loss: 2.5466	LR: 0.038674
Training Epoch: 1 [18432/46200]	Loss: 2.5443	LR: 0.039227
Training Epoch: 1 [18688/46200]	Loss: 2.6072	LR: 0.039779
Training Epoch: 1 [18944/46200]	Loss: 2.5638	LR: 0.040331
Training Epoch: 1 [19200/46200]	Loss: 2.6588	LR: 0.040884
Training Epoch: 1 [19456/46200]	Loss: 2.5679	LR: 0.041436
Training Epoch: 1 [19712/46200]	Loss: 2.4514	LR: 0.041989
Training Epoch: 1 [19968/46200]	Loss: 2.4906	LR: 0.042541
Training Epoch: 1 [20224/46200]	Loss: 2.5713	LR: 0.043094
Training Epoch: 1 [20480/46200]	Loss: 2.7054	LR: 0.043646
Training Epoch: 1 [20736/46200]	Loss: 2.5857	LR: 0.044199
Training Epoch: 1 [20992/46200]	Loss: 2.6127	LR: 0.044751
Training Epoch: 1 [21248/46200]	Loss: 2.5479	LR: 0.045304
Training Epoch: 1 [21504/46200]	Loss: 2.6676	LR: 0.045856
Training Epoch: 1 [21760/46200]	Loss: 2.7962	LR: 0.046409
Training Epoch: 1 [22016/46200]	Loss: 2.6290	LR: 0.046961
Training Epoch: 1 [22272/46200]	Loss: 2.5653	LR: 0.047514
Training Epoch: 1 [22528/46200]	Loss: 2.5857	LR: 0.048066
Training Epoch: 1 [22784/46200]	Loss: 2.5504	LR: 0.048619
Training Epoch: 1 [23040/46200]	Loss: 2.5196	LR: 0.049171
Training Epoch: 1 [23296/46200]	Loss: 2.6226	LR: 0.049724
Training Epoch: 1 [23552/46200]	Loss: 2.5284	LR: 0.050276
Training Epoch: 1 [23808/46200]	Loss: 2.4755	LR: 0.050829
Training Epoch: 1 [24064/46200]	Loss: 2.5772	LR: 0.051381
Training Epoch: 1 [24320/46200]	Loss: 2.5771	LR: 0.051934
Training Epoch: 1 [24576/46200]	Loss: 2.5282	LR: 0.052486
Training Epoch: 1 [24832/46200]	Loss: 2.4606	LR: 0.053039
Training Epoch: 1 [25088/46200]	Loss: 2.5283	LR: 0.053591
Training Epoch: 1 [25344/46200]	Loss: 2.5624	LR: 0.054144
Training Epoch: 1 [25600/46200]	Loss: 2.6073	LR: 0.054696
Training Epoch: 1 [25856/46200]	Loss: 2.5352	LR: 0.055249
Training Epoch: 1 [26112/46200]	Loss: 2.5569	LR: 0.055801
Training Epoch: 1 [26368/46200]	Loss: 2.5750	LR: 0.056354
Training Epoch: 1 [26624/46200]	Loss: 2.5259	LR: 0.056906
Training Epoch: 1 [26880/46200]	Loss: 2.5290	LR: 0.057459
Training Epoch: 1 [27136/46200]	Loss: 2.4285	LR: 0.058011
Training Epoch: 1 [27392/46200]	Loss: 2.4668	LR: 0.058564
Training Epoch: 1 [27648/46200]	Loss: 2.4302	LR: 0.059116
Training Epoch: 1 [27904/46200]	Loss: 2.3418	LR: 0.059669
Training Epoch: 1 [28160/46200]	Loss: 2.5808	LR: 0.060221
Training Epoch: 1 [28416/46200]	Loss: 2.5566	LR: 0.060773
Training Epoch: 1 [28672/46200]	Loss: 2.4694	LR: 0.061326
Training Epoch: 1 [28928/46200]	Loss: 2.4868	LR: 0.061878
Training Epoch: 1 [29184/46200]	Loss: 2.4098	LR: 0.062431
Training Epoch: 1 [29440/46200]	Loss: 2.4711	LR: 0.062983
Training Epoch: 1 [29696/46200]	Loss: 2.5083	LR: 0.063536
Training Epoch: 1 [29952/46200]	Loss: 2.4586	LR: 0.064088
Training Epoch: 1 [30208/46200]	Loss: 2.3452	LR: 0.064641
Training Epoch: 1 [30464/46200]	Loss: 2.4584	LR: 0.065193
Training Epoch: 1 [30720/46200]	Loss: 2.3190	LR: 0.065746
Training Epoch: 1 [30976/46200]	Loss: 2.3786	LR: 0.066298
Training Epoch: 1 [31232/46200]	Loss: 2.5393	LR: 0.066851
Training Epoch: 1 [31488/46200]	Loss: 2.4023	LR: 0.067403
Training Epoch: 1 [31744/46200]	Loss: 2.3264	LR: 0.067956
Training Epoch: 1 [32000/46200]	Loss: 2.4650	LR: 0.068508
Training Epoch: 1 [32256/46200]	Loss: 2.4283	LR: 0.069061
Training Epoch: 1 [32512/46200]	Loss: 2.4464	LR: 0.069613
Training Epoch: 1 [32768/46200]	Loss: 2.4697	LR: 0.070166
Training Epoch: 1 [33024/46200]	Loss: 2.5642	LR: 0.070718
Training Epoch: 1 [33280/46200]	Loss: 2.5670	LR: 0.071271
Training Epoch: 1 [33536/46200]	Loss: 2.3937	LR: 0.071823
Training Epoch: 1 [33792/46200]	Loss: 2.5001	LR: 0.072376
Training Epoch: 1 [34048/46200]	Loss: 2.4822	LR: 0.072928
Training Epoch: 1 [34304/46200]	Loss: 2.5093	LR: 0.073481
Training Epoch: 1 [34560/46200]	Loss: 2.5076	LR: 0.074033
Training Epoch: 1 [34816/46200]	Loss: 2.3271	LR: 0.074586
Training Epoch: 1 [35072/46200]	Loss: 2.4184	LR: 0.075138
Training Epoch: 1 [35328/46200]	Loss: 2.3648	LR: 0.075691
Training Epoch: 1 [35584/46200]	Loss: 2.5799	LR: 0.076243
Training Epoch: 1 [35840/46200]	Loss: 2.4424	LR: 0.076796
Training Epoch: 1 [36096/46200]	Loss: 2.5157	LR: 0.077348
Training Epoch: 1 [36352/46200]	Loss: 2.4886	LR: 0.077901
Training Epoch: 1 [36608/46200]	Loss: 2.4118	LR: 0.078453
Training Epoch: 1 [36864/46200]	Loss: 2.4794	LR: 0.079006
Training Epoch: 1 [37120/46200]	Loss: 2.3193	LR: 0.079558
Training Epoch: 1 [37376/46200]	Loss: 2.5043	LR: 0.080110
Training Epoch: 1 [37632/46200]	Loss: 2.4812	LR: 0.080663
Training Epoch: 1 [37888/46200]	Loss: 2.4399	LR: 0.081215
Training Epoch: 1 [38144/46200]	Loss: 2.6098	LR: 0.081768
Training Epoch: 1 [38400/46200]	Loss: 2.4365	LR: 0.082320
Training Epoch: 1 [38656/46200]	Loss: 2.4726	LR: 0.082873
Training Epoch: 1 [38912/46200]	Loss: 2.4829	LR: 0.083425
Training Epoch: 1 [39168/46200]	Loss: 2.5047	LR: 0.083978
Training Epoch: 1 [39424/46200]	Loss: 2.3999	LR: 0.084530
Training Epoch: 1 [39680/46200]	Loss: 2.5029	LR: 0.085083
Training Epoch: 1 [39936/46200]	Loss: 2.5113	LR: 0.085635
Training Epoch: 1 [40192/46200]	Loss: 2.4398	LR: 0.086188
Training Epoch: 1 [40448/46200]	Loss: 2.4035	LR: 0.086740
Training Epoch: 1 [40704/46200]	Loss: 2.3848	LR: 0.087293
Training Epoch: 1 [40960/46200]	Loss: 2.2847	LR: 0.087845
Training Epoch: 1 [41216/46200]	Loss: 2.5086	LR: 0.088398
Training Epoch: 1 [41472/46200]	Loss: 2.3303	LR: 0.088950
Training Epoch: 1 [41728/46200]	Loss: 2.4395	LR: 0.089503
Training Epoch: 1 [41984/46200]	Loss: 2.4482	LR: 0.090055
Training Epoch: 1 [42240/46200]	Loss: 2.1877	LR: 0.090608
Training Epoch: 1 [42496/46200]	Loss: 2.3628	LR: 0.091160
Training Epoch: 1 [42752/46200]	Loss: 2.2762	LR: 0.091713
Training Epoch: 1 [43008/46200]	Loss: 2.4386	LR: 0.092265
Training Epoch: 1 [43264/46200]	Loss: 2.3905	LR: 0.092818
Training Epoch: 1 [43520/46200]	Loss: 2.4041	LR: 0.093370
Training Epoch: 1 [43776/46200]	Loss: 2.6310	LR: 0.093923
Training Epoch: 1 [44032/46200]	Loss: 2.2432	LR: 0.094475
Training Epoch: 1 [44288/46200]	Loss: 2.3709	LR: 0.095028
Training Epoch: 1 [44544/46200]	Loss: 2.3742	LR: 0.095580
Training Epoch: 1 [44800/46200]	Loss: 2.3688	LR: 0.096133
Training Epoch: 1 [45056/46200]	Loss: 2.3818	LR: 0.096685
Training Epoch: 1 [45312/46200]	Loss: 2.4004	LR: 0.097238
Training Epoch: 1 [45568/46200]	Loss: 2.3479	LR: 0.097790
Training Epoch: 1 [45824/46200]	Loss: 2.3819	LR: 0.098343
Training Epoch: 1 [46080/46200]	Loss: 2.4150	LR: 0.098895
Training Epoch: 1 [46200/46200]	Loss: 2.3693	LR: 0.099448
Epoch 1 - Average Train Loss: 2.5732, Train Accuracy: 0.2063
Epoch 1 training time consumed: 28.49s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0102, Accuracy: 0.2399, Time consumed:1.15s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_02h_55m_57s/ResNet18-Cifar20-seed6-ret25-1-best.pth
Training Epoch: 2 [256/46200]	Loss: 2.2517	LR: 0.100000
Training Epoch: 2 [512/46200]	Loss: 2.4431	LR: 0.100000
Training Epoch: 2 [768/46200]	Loss: 2.4071	LR: 0.100000
Training Epoch: 2 [1024/46200]	Loss: 2.4937	LR: 0.100000
Training Epoch: 2 [1280/46200]	Loss: 2.3710	LR: 0.100000
Training Epoch: 2 [1536/46200]	Loss: 2.4062	LR: 0.100000
Training Epoch: 2 [1792/46200]	Loss: 2.3372	LR: 0.100000
Training Epoch: 2 [2048/46200]	Loss: 2.4302	LR: 0.100000
Training Epoch: 2 [2304/46200]	Loss: 2.3689	LR: 0.100000
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Epoch 2 - Average Train Loss: 2.1847, Train Accuracy: 0.3199
Epoch 2 training time consumed: 27.49s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0083, Accuracy: 0.3505, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_02h_55m_57s/ResNet18-Cifar20-seed6-ret25-2-best.pth
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Training Epoch: 3 [46200/46200]	Loss: 1.8995	LR: 0.100000
Epoch 3 - Average Train Loss: 1.9392, Train Accuracy: 0.3918
Epoch 3 training time consumed: 27.58s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0084, Accuracy: 0.3728, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_02h_55m_57s/ResNet18-Cifar20-seed6-ret25-3-best.pth
Training Epoch: 4 [256/46200]	Loss: 1.9702	LR: 0.100000
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Training Epoch: 4 [46200/46200]	Loss: 1.7288	LR: 0.100000
Epoch 4 - Average Train Loss: 1.7394, Train Accuracy: 0.4515
Epoch 4 training time consumed: 27.66s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0071, Accuracy: 0.4549, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_02h_55m_57s/ResNet18-Cifar20-seed6-ret25-4-best.pth
Training Epoch: 5 [256/46200]	Loss: 1.5305	LR: 0.100000
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Epoch 5 - Average Train Loss: 1.5670, Train Accuracy: 0.5027
Epoch 5 training time consumed: 27.52s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0071, Accuracy: 0.4774, Time consumed:0.86s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_02h_55m_57s/ResNet18-Cifar20-seed6-ret25-5-best.pth
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Training Epoch: 6 [46200/46200]	Loss: 1.4571	LR: 0.100000
Epoch 6 - Average Train Loss: 1.4161, Train Accuracy: 0.5485
Epoch 6 training time consumed: 27.41s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0054, Accuracy: 0.5659, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_02h_55m_57s/ResNet18-Cifar20-seed6-ret25-6-best.pth
Training Epoch: 7 [256/46200]	Loss: 1.2145	LR: 0.100000
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Training Epoch: 7 [46200/46200]	Loss: 1.3349	LR: 0.100000
Epoch 7 - Average Train Loss: 1.3155, Train Accuracy: 0.5761
Epoch 7 training time consumed: 27.45s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0057, Accuracy: 0.5661, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_02h_55m_57s/ResNet18-Cifar20-seed6-ret25-7-best.pth
Training Epoch: 8 [256/46200]	Loss: 1.2020	LR: 0.100000
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Training Epoch: 8 [46200/46200]	Loss: 1.2325	LR: 0.100000
Epoch 8 - Average Train Loss: 1.2170, Train Accuracy: 0.6089
Epoch 8 training time consumed: 27.42s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0055, Accuracy: 0.5709, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_02h_55m_57s/ResNet18-Cifar20-seed6-ret25-8-best.pth
Training Epoch: 9 [256/46200]	Loss: 1.2201	LR: 0.100000
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Training Epoch: 9 [46200/46200]	Loss: 0.9883	LR: 0.100000
Epoch 9 - Average Train Loss: 1.1405, Train Accuracy: 0.6324
Epoch 9 training time consumed: 27.57s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0047, Accuracy: 0.6318, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_02h_55m_57s/ResNet18-Cifar20-seed6-ret25-9-best.pth
Training Epoch: 10 [256/46200]	Loss: 1.2507	LR: 0.100000
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Epoch 10 - Average Train Loss: 1.0715, Train Accuracy: 0.6513
Epoch 10 training time consumed: 27.57s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0045, Accuracy: 0.6347, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_02h_55m_57s/ResNet18-Cifar20-seed6-ret25-10-best.pth
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Training Epoch: 11 [37120/46200]	Loss: 0.9671	LR: 0.100000
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Training Epoch: 11 [37632/46200]	Loss: 0.9158	LR: 0.100000
Training Epoch: 11 [37888/46200]	Loss: 1.0674	LR: 0.100000
Training Epoch: 11 [38144/46200]	Loss: 1.0781	LR: 0.100000
Training Epoch: 11 [38400/46200]	Loss: 0.8552	LR: 0.100000
Training Epoch: 11 [38656/46200]	Loss: 1.1062	LR: 0.100000
Training Epoch: 11 [38912/46200]	Loss: 1.1348	LR: 0.100000
Training Epoch: 11 [39168/46200]	Loss: 1.1795	LR: 0.100000
Training Epoch: 11 [39424/46200]	Loss: 0.9177	LR: 0.100000
Training Epoch: 11 [39680/46200]	Loss: 1.0140	LR: 0.100000
Training Epoch: 11 [39936/46200]	Loss: 0.9859	LR: 0.100000
Training Epoch: 11 [40192/46200]	Loss: 1.0307	LR: 0.100000
Training Epoch: 11 [40448/46200]	Loss: 1.0224	LR: 0.100000
Training Epoch: 11 [40704/46200]	Loss: 1.1179	LR: 0.100000
Training Epoch: 11 [40960/46200]	Loss: 1.0414	LR: 0.100000
Training Epoch: 11 [41216/46200]	Loss: 1.0856	LR: 0.100000
Training Epoch: 11 [41472/46200]	Loss: 1.0920	LR: 0.100000
Training Epoch: 11 [41728/46200]	Loss: 0.9537	LR: 0.100000
Training Epoch: 11 [41984/46200]	Loss: 1.0466	LR: 0.100000
Training Epoch: 11 [42240/46200]	Loss: 1.0794	LR: 0.100000
Training Epoch: 11 [42496/46200]	Loss: 1.0810	LR: 0.100000
Training Epoch: 11 [42752/46200]	Loss: 0.9572	LR: 0.100000
Training Epoch: 11 [43008/46200]	Loss: 0.9786	LR: 0.100000
Training Epoch: 11 [43264/46200]	Loss: 1.1175	LR: 0.100000
Training Epoch: 11 [43520/46200]	Loss: 1.0518	LR: 0.100000
Training Epoch: 11 [43776/46200]	Loss: 1.0905	LR: 0.100000
Training Epoch: 11 [44032/46200]	Loss: 0.9865	LR: 0.100000
Training Epoch: 11 [44288/46200]	Loss: 1.0336	LR: 0.100000
Training Epoch: 11 [44544/46200]	Loss: 1.0139	LR: 0.100000
Training Epoch: 11 [44800/46200]	Loss: 0.9201	LR: 0.100000
Training Epoch: 11 [45056/46200]	Loss: 0.9915	LR: 0.100000
Training Epoch: 11 [45312/46200]	Loss: 1.0084	LR: 0.100000
Training Epoch: 11 [45568/46200]	Loss: 1.0744	LR: 0.100000
Training Epoch: 11 [45824/46200]	Loss: 0.8722	LR: 0.100000
Training Epoch: 11 [46080/46200]	Loss: 1.0545	LR: 0.100000
Training Epoch: 11 [46200/46200]	Loss: 0.9664	LR: 0.100000
Epoch 11 - Average Train Loss: 1.0219, Train Accuracy: 0.6700
Epoch 11 training time consumed: 27.58s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0046, Accuracy: 0.6338, Time consumed:0.86s
Training Epoch: 12 [256/46200]	Loss: 0.8584	LR: 0.100000
Training Epoch: 12 [512/46200]	Loss: 0.9035	LR: 0.100000
Training Epoch: 12 [768/46200]	Loss: 0.8415	LR: 0.100000
Training Epoch: 12 [1024/46200]	Loss: 0.9575	LR: 0.100000
Training Epoch: 12 [1280/46200]	Loss: 0.9307	LR: 0.100000
Training Epoch: 12 [1536/46200]	Loss: 0.8944	LR: 0.100000
Training Epoch: 12 [1792/46200]	Loss: 0.9505	LR: 0.100000
Training Epoch: 12 [2048/46200]	Loss: 0.9948	LR: 0.100000
Training Epoch: 12 [2304/46200]	Loss: 0.9543	LR: 0.100000
Training Epoch: 12 [2560/46200]	Loss: 1.0382	LR: 0.100000
Training Epoch: 12 [2816/46200]	Loss: 1.0513	LR: 0.100000
Training Epoch: 12 [3072/46200]	Loss: 0.9210	LR: 0.100000
Training Epoch: 12 [3328/46200]	Loss: 1.0798	LR: 0.100000
Training Epoch: 12 [3584/46200]	Loss: 0.9071	LR: 0.100000
Training Epoch: 12 [3840/46200]	Loss: 0.9409	LR: 0.100000
Training Epoch: 12 [4096/46200]	Loss: 0.7920	LR: 0.100000
Training Epoch: 12 [4352/46200]	Loss: 0.9089	LR: 0.100000
Training Epoch: 12 [4608/46200]	Loss: 0.8299	LR: 0.100000
Training Epoch: 12 [4864/46200]	Loss: 0.9448	LR: 0.100000
Training Epoch: 12 [5120/46200]	Loss: 0.9501	LR: 0.100000
Training Epoch: 12 [5376/46200]	Loss: 0.9097	LR: 0.100000
Training Epoch: 12 [5632/46200]	Loss: 1.0295	LR: 0.100000
Training Epoch: 12 [5888/46200]	Loss: 0.8068	LR: 0.100000
Training Epoch: 12 [6144/46200]	Loss: 1.1879	LR: 0.100000
Training Epoch: 12 [6400/46200]	Loss: 0.9976	LR: 0.100000
Training Epoch: 12 [6656/46200]	Loss: 1.0716	LR: 0.100000
Training Epoch: 12 [6912/46200]	Loss: 1.0463	LR: 0.100000
Training Epoch: 12 [7168/46200]	Loss: 1.1011	LR: 0.100000
Training Epoch: 12 [7424/46200]	Loss: 0.9568	LR: 0.100000
Training Epoch: 12 [7680/46200]	Loss: 0.9983	LR: 0.100000
Training Epoch: 12 [7936/46200]	Loss: 0.9425	LR: 0.100000
Training Epoch: 12 [8192/46200]	Loss: 0.9665	LR: 0.100000
Training Epoch: 12 [8448/46200]	Loss: 1.0540	LR: 0.100000
Training Epoch: 12 [8704/46200]	Loss: 1.0481	LR: 0.100000
Training Epoch: 12 [8960/46200]	Loss: 0.9167	LR: 0.100000
Training Epoch: 12 [9216/46200]	Loss: 0.9102	LR: 0.100000
Training Epoch: 12 [9472/46200]	Loss: 0.9717	LR: 0.100000
Training Epoch: 12 [9728/46200]	Loss: 0.9733	LR: 0.100000
Training Epoch: 12 [9984/46200]	Loss: 0.8757	LR: 0.100000
Training Epoch: 12 [10240/46200]	Loss: 0.9492	LR: 0.100000
Training Epoch: 12 [10496/46200]	Loss: 0.9884	LR: 0.100000
Training Epoch: 12 [10752/46200]	Loss: 1.0691	LR: 0.100000
Training Epoch: 12 [11008/46200]	Loss: 1.0139	LR: 0.100000
Training Epoch: 12 [11264/46200]	Loss: 0.8999	LR: 0.100000
Training Epoch: 12 [11520/46200]	Loss: 0.6987	LR: 0.100000
Training Epoch: 12 [11776/46200]	Loss: 0.9376	LR: 0.100000
Training Epoch: 12 [12032/46200]	Loss: 1.0071	LR: 0.100000
Training Epoch: 12 [12288/46200]	Loss: 1.0968	LR: 0.100000
Training Epoch: 12 [12544/46200]	Loss: 0.9655	LR: 0.100000
Training Epoch: 12 [12800/46200]	Loss: 1.0315	LR: 0.100000
Training Epoch: 12 [13056/46200]	Loss: 0.9796	LR: 0.100000
Training Epoch: 12 [13312/46200]	Loss: 1.1484	LR: 0.100000
Training Epoch: 12 [13568/46200]	Loss: 0.9929	LR: 0.100000
Training Epoch: 12 [13824/46200]	Loss: 0.9949	LR: 0.100000
Training Epoch: 12 [14080/46200]	Loss: 1.0046	LR: 0.100000
Training Epoch: 12 [14336/46200]	Loss: 0.8487	LR: 0.100000
Training Epoch: 12 [14592/46200]	Loss: 0.9178	LR: 0.100000
Training Epoch: 12 [14848/46200]	Loss: 0.9925	LR: 0.100000
Training Epoch: 12 [15104/46200]	Loss: 1.0557	LR: 0.100000
Training Epoch: 12 [15360/46200]	Loss: 0.9177	LR: 0.100000
Training Epoch: 12 [15616/46200]	Loss: 0.9028	LR: 0.100000
Training Epoch: 12 [15872/46200]	Loss: 1.0038	LR: 0.100000
Training Epoch: 12 [16128/46200]	Loss: 0.8796	LR: 0.100000
Training Epoch: 12 [16384/46200]	Loss: 0.9927	LR: 0.100000
Training Epoch: 12 [16640/46200]	Loss: 0.9332	LR: 0.100000
Training Epoch: 12 [16896/46200]	Loss: 0.7812	LR: 0.100000
Training Epoch: 12 [17152/46200]	Loss: 1.0074	LR: 0.100000
Training Epoch: 12 [17408/46200]	Loss: 0.8826	LR: 0.100000
Training Epoch: 12 [17664/46200]	Loss: 0.8455	LR: 0.100000
Training Epoch: 12 [17920/46200]	Loss: 0.9295	LR: 0.100000
Training Epoch: 12 [18176/46200]	Loss: 0.9524	LR: 0.100000
Training Epoch: 12 [18432/46200]	Loss: 1.0316	LR: 0.100000
Training Epoch: 12 [18688/46200]	Loss: 1.0814	LR: 0.100000
Training Epoch: 12 [18944/46200]	Loss: 1.0779	LR: 0.100000
Training Epoch: 12 [19200/46200]	Loss: 0.9554	LR: 0.100000
Training Epoch: 12 [19456/46200]	Loss: 1.0682	LR: 0.100000
Training Epoch: 12 [19712/46200]	Loss: 1.0472	LR: 0.100000
Training Epoch: 12 [19968/46200]	Loss: 1.1105	LR: 0.100000
Training Epoch: 12 [20224/46200]	Loss: 0.9794	LR: 0.100000
Training Epoch: 12 [20480/46200]	Loss: 0.8741	LR: 0.100000
Training Epoch: 12 [20736/46200]	Loss: 0.9808	LR: 0.100000
Training Epoch: 12 [20992/46200]	Loss: 0.9761	LR: 0.100000
Training Epoch: 12 [21248/46200]	Loss: 0.8466	LR: 0.100000
Training Epoch: 12 [21504/46200]	Loss: 0.9030	LR: 0.100000
Training Epoch: 12 [21760/46200]	Loss: 0.9074	LR: 0.100000
Training Epoch: 12 [22016/46200]	Loss: 0.9918	LR: 0.100000
Training Epoch: 12 [22272/46200]	Loss: 0.9244	LR: 0.100000
Training Epoch: 12 [22528/46200]	Loss: 0.8239	LR: 0.100000
Training Epoch: 12 [22784/46200]	Loss: 1.0096	LR: 0.100000
Training Epoch: 12 [23040/46200]	Loss: 0.8893	LR: 0.100000
Training Epoch: 12 [23296/46200]	Loss: 0.9800	LR: 0.100000
Training Epoch: 12 [23552/46200]	Loss: 0.9850	LR: 0.100000
Training Epoch: 12 [23808/46200]	Loss: 1.1076	LR: 0.100000
Training Epoch: 12 [24064/46200]	Loss: 1.0164	LR: 0.100000
Training Epoch: 12 [24320/46200]	Loss: 0.9853	LR: 0.100000
Training Epoch: 12 [24576/46200]	Loss: 0.9413	LR: 0.100000
Training Epoch: 12 [24832/46200]	Loss: 0.9884	LR: 0.100000
Training Epoch: 12 [25088/46200]	Loss: 1.1368	LR: 0.100000
Training Epoch: 12 [25344/46200]	Loss: 0.9685	LR: 0.100000
Training Epoch: 12 [25600/46200]	Loss: 0.9867	LR: 0.100000
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Training Epoch: 12 [26112/46200]	Loss: 1.0981	LR: 0.100000
Training Epoch: 12 [26368/46200]	Loss: 1.0616	LR: 0.100000
Training Epoch: 12 [26624/46200]	Loss: 1.1954	LR: 0.100000
Training Epoch: 12 [26880/46200]	Loss: 0.9141	LR: 0.100000
Training Epoch: 12 [27136/46200]	Loss: 1.0302	LR: 0.100000
Training Epoch: 12 [27392/46200]	Loss: 1.1045	LR: 0.100000
Training Epoch: 12 [27648/46200]	Loss: 0.9964	LR: 0.100000
Training Epoch: 12 [27904/46200]	Loss: 1.0531	LR: 0.100000
Training Epoch: 12 [28160/46200]	Loss: 0.9446	LR: 0.100000
Training Epoch: 12 [28416/46200]	Loss: 1.1705	LR: 0.100000
Training Epoch: 12 [28672/46200]	Loss: 0.9665	LR: 0.100000
Training Epoch: 12 [28928/46200]	Loss: 0.9548	LR: 0.100000
Training Epoch: 12 [29184/46200]	Loss: 1.0614	LR: 0.100000
Training Epoch: 12 [29440/46200]	Loss: 0.9930	LR: 0.100000
Training Epoch: 12 [29696/46200]	Loss: 0.9256	LR: 0.100000
Training Epoch: 12 [29952/46200]	Loss: 0.8351	LR: 0.100000
Training Epoch: 12 [30208/46200]	Loss: 1.0814	LR: 0.100000
Training Epoch: 12 [30464/46200]	Loss: 1.0486	LR: 0.100000
Training Epoch: 12 [30720/46200]	Loss: 1.0307	LR: 0.100000
Training Epoch: 12 [30976/46200]	Loss: 1.0339	LR: 0.100000
Training Epoch: 12 [31232/46200]	Loss: 1.0890	LR: 0.100000
Training Epoch: 12 [31488/46200]	Loss: 0.9995	LR: 0.100000
Training Epoch: 12 [31744/46200]	Loss: 1.0659	LR: 0.100000
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Training Epoch: 12 [32256/46200]	Loss: 1.1789	LR: 0.100000
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Training Epoch: 12 [33280/46200]	Loss: 0.9797	LR: 0.100000
Training Epoch: 12 [33536/46200]	Loss: 0.9616	LR: 0.100000
Training Epoch: 12 [33792/46200]	Loss: 1.0300	LR: 0.100000
Training Epoch: 12 [34048/46200]	Loss: 1.1154	LR: 0.100000
Training Epoch: 12 [34304/46200]	Loss: 1.0767	LR: 0.100000
Training Epoch: 12 [34560/46200]	Loss: 0.9668	LR: 0.100000
Training Epoch: 12 [34816/46200]	Loss: 1.0624	LR: 0.100000
Training Epoch: 12 [35072/46200]	Loss: 0.9394	LR: 0.100000
Training Epoch: 12 [35328/46200]	Loss: 0.9866	LR: 0.100000
Training Epoch: 12 [35584/46200]	Loss: 1.0636	LR: 0.100000
Training Epoch: 12 [35840/46200]	Loss: 1.0142	LR: 0.100000
Training Epoch: 12 [36096/46200]	Loss: 0.9356	LR: 0.100000
Training Epoch: 12 [36352/46200]	Loss: 0.9829	LR: 0.100000
Training Epoch: 12 [36608/46200]	Loss: 1.0165	LR: 0.100000
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Training Epoch: 12 [37120/46200]	Loss: 0.9603	LR: 0.100000
Training Epoch: 12 [37376/46200]	Loss: 0.9682	LR: 0.100000
Training Epoch: 12 [37632/46200]	Loss: 0.8982	LR: 0.100000
Training Epoch: 12 [37888/46200]	Loss: 0.9311	LR: 0.100000
Training Epoch: 12 [38144/46200]	Loss: 0.8694	LR: 0.100000
Training Epoch: 12 [38400/46200]	Loss: 1.0857	LR: 0.100000
Training Epoch: 12 [38656/46200]	Loss: 0.9589	LR: 0.100000
Training Epoch: 12 [38912/46200]	Loss: 0.8257	LR: 0.100000
Training Epoch: 12 [39168/46200]	Loss: 0.9646	LR: 0.100000
Training Epoch: 12 [39424/46200]	Loss: 0.7739	LR: 0.100000
Training Epoch: 12 [39680/46200]	Loss: 1.0271	LR: 0.100000
Training Epoch: 12 [39936/46200]	Loss: 1.0165	LR: 0.100000
Training Epoch: 12 [40192/46200]	Loss: 1.0697	LR: 0.100000
Training Epoch: 12 [40448/46200]	Loss: 1.0087	LR: 0.100000
Training Epoch: 12 [40704/46200]	Loss: 1.0166	LR: 0.100000
Training Epoch: 12 [40960/46200]	Loss: 0.8790	LR: 0.100000
Training Epoch: 12 [41216/46200]	Loss: 0.9513	LR: 0.100000
Training Epoch: 12 [41472/46200]	Loss: 0.9437	LR: 0.100000
Training Epoch: 12 [41728/46200]	Loss: 1.0148	LR: 0.100000
Training Epoch: 12 [41984/46200]	Loss: 1.1801	LR: 0.100000
Training Epoch: 12 [42240/46200]	Loss: 0.9460	LR: 0.100000
Training Epoch: 12 [42496/46200]	Loss: 0.9788	LR: 0.100000
Training Epoch: 12 [42752/46200]	Loss: 1.0778	LR: 0.100000
Training Epoch: 12 [43008/46200]	Loss: 0.9671	LR: 0.100000
Training Epoch: 12 [43264/46200]	Loss: 1.1251	LR: 0.100000
Training Epoch: 12 [43520/46200]	Loss: 0.9449	LR: 0.100000
Training Epoch: 12 [43776/46200]	Loss: 0.9536	LR: 0.100000
Training Epoch: 12 [44032/46200]	Loss: 0.9979	LR: 0.100000
Training Epoch: 12 [44288/46200]	Loss: 0.9394	LR: 0.100000
Training Epoch: 12 [44544/46200]	Loss: 0.9210	LR: 0.100000
Training Epoch: 12 [44800/46200]	Loss: 1.1135	LR: 0.100000
Training Epoch: 12 [45056/46200]	Loss: 0.9069	LR: 0.100000
Training Epoch: 12 [45312/46200]	Loss: 1.0940	LR: 0.100000
Training Epoch: 12 [45568/46200]	Loss: 0.8886	LR: 0.100000
Training Epoch: 12 [45824/46200]	Loss: 0.9854	LR: 0.100000
Training Epoch: 12 [46080/46200]	Loss: 1.0029	LR: 0.100000
Training Epoch: 12 [46200/46200]	Loss: 0.8470	LR: 0.100000
Epoch 12 - Average Train Loss: 0.9813, Train Accuracy: 0.6842
Epoch 12 training time consumed: 27.52s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0046, Accuracy: 0.6272, Time consumed:0.97s
Training Epoch: 13 [256/46200]	Loss: 0.8679	LR: 0.100000
Training Epoch: 13 [512/46200]	Loss: 0.7928	LR: 0.100000
Training Epoch: 13 [768/46200]	Loss: 1.0214	LR: 0.100000
Training Epoch: 13 [1024/46200]	Loss: 0.9423	LR: 0.100000
Training Epoch: 13 [1280/46200]	Loss: 0.8647	LR: 0.100000
Training Epoch: 13 [1536/46200]	Loss: 0.8142	LR: 0.100000
Training Epoch: 13 [1792/46200]	Loss: 0.9129	LR: 0.100000
Training Epoch: 13 [2048/46200]	Loss: 0.9379	LR: 0.100000
Training Epoch: 13 [2304/46200]	Loss: 0.9547	LR: 0.100000
Training Epoch: 13 [2560/46200]	Loss: 0.9209	LR: 0.100000
Training Epoch: 13 [2816/46200]	Loss: 0.9295	LR: 0.100000
Training Epoch: 13 [3072/46200]	Loss: 0.9079	LR: 0.100000
Training Epoch: 13 [3328/46200]	Loss: 0.9846	LR: 0.100000
Training Epoch: 13 [3584/46200]	Loss: 0.7744	LR: 0.100000
Training Epoch: 13 [3840/46200]	Loss: 0.8504	LR: 0.100000
Training Epoch: 13 [4096/46200]	Loss: 0.8300	LR: 0.100000
Training Epoch: 13 [4352/46200]	Loss: 0.9145	LR: 0.100000
Training Epoch: 13 [4608/46200]	Loss: 0.9149	LR: 0.100000
Training Epoch: 13 [4864/46200]	Loss: 1.0040	LR: 0.100000
Training Epoch: 13 [5120/46200]	Loss: 0.8953	LR: 0.100000
Training Epoch: 13 [5376/46200]	Loss: 0.9445	LR: 0.100000
Training Epoch: 13 [5632/46200]	Loss: 0.9441	LR: 0.100000
Training Epoch: 13 [5888/46200]	Loss: 0.9824	LR: 0.100000
Training Epoch: 13 [6144/46200]	Loss: 0.9947	LR: 0.100000
Training Epoch: 13 [6400/46200]	Loss: 0.9740	LR: 0.100000
Training Epoch: 13 [6656/46200]	Loss: 0.8846	LR: 0.100000
Training Epoch: 13 [6912/46200]	Loss: 0.8891	LR: 0.100000
Training Epoch: 13 [7168/46200]	Loss: 0.8272	LR: 0.100000
Training Epoch: 13 [7424/46200]	Loss: 0.9282	LR: 0.100000
Training Epoch: 13 [7680/46200]	Loss: 0.9929	LR: 0.100000
Training Epoch: 13 [7936/46200]	Loss: 0.8524	LR: 0.100000
Training Epoch: 13 [8192/46200]	Loss: 0.9315	LR: 0.100000
Training Epoch: 13 [8448/46200]	Loss: 1.0191	LR: 0.100000
Training Epoch: 13 [8704/46200]	Loss: 0.8650	LR: 0.100000
Training Epoch: 13 [8960/46200]	Loss: 0.7276	LR: 0.100000
Training Epoch: 13 [9216/46200]	Loss: 0.9610	LR: 0.100000
Training Epoch: 13 [9472/46200]	Loss: 0.9536	LR: 0.100000
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Training Epoch: 13 [9984/46200]	Loss: 0.9807	LR: 0.100000
Training Epoch: 13 [10240/46200]	Loss: 0.8804	LR: 0.100000
Training Epoch: 13 [10496/46200]	Loss: 0.9556	LR: 0.100000
Training Epoch: 13 [10752/46200]	Loss: 0.9528	LR: 0.100000
Training Epoch: 13 [11008/46200]	Loss: 1.0101	LR: 0.100000
Training Epoch: 13 [11264/46200]	Loss: 0.9879	LR: 0.100000
Training Epoch: 13 [11520/46200]	Loss: 0.8764	LR: 0.100000
Training Epoch: 13 [11776/46200]	Loss: 0.7646	LR: 0.100000
Training Epoch: 13 [12032/46200]	Loss: 0.8945	LR: 0.100000
Training Epoch: 13 [12288/46200]	Loss: 0.9806	LR: 0.100000
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Training Epoch: 13 [12800/46200]	Loss: 0.9220	LR: 0.100000
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Training Epoch: 13 [13312/46200]	Loss: 0.9220	LR: 0.100000
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Training Epoch: 13 [14080/46200]	Loss: 0.9495	LR: 0.100000
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Training Epoch: 13 [16128/46200]	Loss: 0.9829	LR: 0.100000
Training Epoch: 13 [16384/46200]	Loss: 0.9407	LR: 0.100000
Training Epoch: 13 [16640/46200]	Loss: 0.8006	LR: 0.100000
Training Epoch: 13 [16896/46200]	Loss: 0.9551	LR: 0.100000
Training Epoch: 13 [17152/46200]	Loss: 0.9130	LR: 0.100000
Training Epoch: 13 [17408/46200]	Loss: 1.0345	LR: 0.100000
Training Epoch: 13 [17664/46200]	Loss: 1.0206	LR: 0.100000
Training Epoch: 13 [17920/46200]	Loss: 0.9566	LR: 0.100000
Training Epoch: 13 [18176/46200]	Loss: 0.9446	LR: 0.100000
Training Epoch: 13 [18432/46200]	Loss: 0.9207	LR: 0.100000
Training Epoch: 13 [18688/46200]	Loss: 1.0551	LR: 0.100000
Training Epoch: 13 [18944/46200]	Loss: 0.8999	LR: 0.100000
Training Epoch: 13 [19200/46200]	Loss: 1.0280	LR: 0.100000
Training Epoch: 13 [19456/46200]	Loss: 0.9169	LR: 0.100000
Training Epoch: 13 [19712/46200]	Loss: 0.9351	LR: 0.100000
Training Epoch: 13 [19968/46200]	Loss: 0.9561	LR: 0.100000
Training Epoch: 13 [20224/46200]	Loss: 0.9956	LR: 0.100000
Training Epoch: 13 [20480/46200]	Loss: 0.8809	LR: 0.100000
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Training Epoch: 13 [21248/46200]	Loss: 0.9040	LR: 0.100000
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Training Epoch: 13 [22016/46200]	Loss: 1.0152	LR: 0.100000
Training Epoch: 13 [22272/46200]	Loss: 0.9801	LR: 0.100000
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Training Epoch: 13 [23040/46200]	Loss: 0.9758	LR: 0.100000
Training Epoch: 13 [23296/46200]	Loss: 1.0393	LR: 0.100000
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Training Epoch: 13 [28416/46200]	Loss: 0.9173	LR: 0.100000
Training Epoch: 13 [28672/46200]	Loss: 1.1693	LR: 0.100000
Training Epoch: 13 [28928/46200]	Loss: 0.8655	LR: 0.100000
Training Epoch: 13 [29184/46200]	Loss: 0.8894	LR: 0.100000
Training Epoch: 13 [29440/46200]	Loss: 1.0230	LR: 0.100000
Training Epoch: 13 [29696/46200]	Loss: 1.1368	LR: 0.100000
Training Epoch: 13 [29952/46200]	Loss: 0.8428	LR: 0.100000
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Training Epoch: 13 [37632/46200]	Loss: 1.0281	LR: 0.100000
Training Epoch: 13 [37888/46200]	Loss: 1.0184	LR: 0.100000
Training Epoch: 13 [38144/46200]	Loss: 0.8997	LR: 0.100000
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Training Epoch: 13 [38656/46200]	Loss: 0.9622	LR: 0.100000
Training Epoch: 13 [38912/46200]	Loss: 1.1219	LR: 0.100000
Training Epoch: 13 [39168/46200]	Loss: 0.8845	LR: 0.100000
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Training Epoch: 13 [40192/46200]	Loss: 0.8348	LR: 0.100000
Training Epoch: 13 [40448/46200]	Loss: 1.0771	LR: 0.100000
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Training Epoch: 13 [40960/46200]	Loss: 1.0125	LR: 0.100000
Training Epoch: 13 [41216/46200]	Loss: 0.8911	LR: 0.100000
Training Epoch: 13 [41472/46200]	Loss: 0.8959	LR: 0.100000
Training Epoch: 13 [41728/46200]	Loss: 1.0297	LR: 0.100000
Training Epoch: 13 [41984/46200]	Loss: 0.8207	LR: 0.100000
Training Epoch: 13 [42240/46200]	Loss: 0.8322	LR: 0.100000
Training Epoch: 13 [42496/46200]	Loss: 0.9233	LR: 0.100000
Training Epoch: 13 [42752/46200]	Loss: 1.0881	LR: 0.100000
Training Epoch: 13 [43008/46200]	Loss: 0.9130	LR: 0.100000
Training Epoch: 13 [43264/46200]	Loss: 0.9215	LR: 0.100000
Training Epoch: 13 [43520/46200]	Loss: 0.9419	LR: 0.100000
Training Epoch: 13 [43776/46200]	Loss: 1.0180	LR: 0.100000
Training Epoch: 13 [44032/46200]	Loss: 0.9384	LR: 0.100000
Training Epoch: 13 [44288/46200]	Loss: 1.0219	LR: 0.100000
Training Epoch: 13 [44544/46200]	Loss: 0.9403	LR: 0.100000
Training Epoch: 13 [44800/46200]	Loss: 1.0037	LR: 0.100000
Training Epoch: 13 [45056/46200]	Loss: 1.0228	LR: 0.100000
Training Epoch: 13 [45312/46200]	Loss: 0.8863	LR: 0.100000
Training Epoch: 13 [45568/46200]	Loss: 0.9144	LR: 0.100000
Training Epoch: 13 [45824/46200]	Loss: 0.9357	LR: 0.100000
Training Epoch: 13 [46080/46200]	Loss: 0.9809	LR: 0.100000
Training Epoch: 13 [46200/46200]	Loss: 1.0120	LR: 0.100000
Epoch 13 - Average Train Loss: 0.9431, Train Accuracy: 0.6941
Epoch 13 training time consumed: 27.74s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0050, Accuracy: 0.6166, Time consumed:0.88s
Training Epoch: 14 [256/46200]	Loss: 0.9134	LR: 0.100000
Training Epoch: 14 [512/46200]	Loss: 0.8342	LR: 0.100000
Training Epoch: 14 [768/46200]	Loss: 0.8509	LR: 0.100000
Training Epoch: 14 [1024/46200]	Loss: 0.9209	LR: 0.100000
Training Epoch: 14 [1280/46200]	Loss: 0.9867	LR: 0.100000
Training Epoch: 14 [1536/46200]	Loss: 0.8564	LR: 0.100000
Training Epoch: 14 [1792/46200]	Loss: 0.9383	LR: 0.100000
Training Epoch: 14 [2048/46200]	Loss: 0.8719	LR: 0.100000
Training Epoch: 14 [2304/46200]	Loss: 0.9559	LR: 0.100000
Training Epoch: 14 [2560/46200]	Loss: 0.9094	LR: 0.100000
Training Epoch: 14 [2816/46200]	Loss: 1.0714	LR: 0.100000
Training Epoch: 14 [3072/46200]	Loss: 1.0831	LR: 0.100000
Training Epoch: 14 [3328/46200]	Loss: 1.0192	LR: 0.100000
Training Epoch: 14 [3584/46200]	Loss: 0.9110	LR: 0.100000
Training Epoch: 14 [3840/46200]	Loss: 0.8720	LR: 0.100000
Training Epoch: 14 [4096/46200]	Loss: 0.9131	LR: 0.100000
Training Epoch: 14 [4352/46200]	Loss: 0.7963	LR: 0.100000
Training Epoch: 14 [4608/46200]	Loss: 0.8588	LR: 0.100000
Training Epoch: 14 [4864/46200]	Loss: 1.0042	LR: 0.100000
Training Epoch: 14 [5120/46200]	Loss: 0.8942	LR: 0.100000
Training Epoch: 14 [5376/46200]	Loss: 0.7975	LR: 0.100000
Training Epoch: 14 [5632/46200]	Loss: 0.9690	LR: 0.100000
Training Epoch: 14 [5888/46200]	Loss: 0.9652	LR: 0.100000
Training Epoch: 14 [6144/46200]	Loss: 0.8114	LR: 0.100000
Training Epoch: 14 [6400/46200]	Loss: 0.9604	LR: 0.100000
Training Epoch: 14 [6656/46200]	Loss: 0.8797	LR: 0.100000
Training Epoch: 14 [6912/46200]	Loss: 0.9032	LR: 0.100000
Training Epoch: 14 [7168/46200]	Loss: 0.8626	LR: 0.100000
Training Epoch: 14 [7424/46200]	Loss: 0.8070	LR: 0.100000
Training Epoch: 14 [7680/46200]	Loss: 0.8600	LR: 0.100000
Training Epoch: 14 [7936/46200]	Loss: 0.8912	LR: 0.100000
Training Epoch: 14 [8192/46200]	Loss: 0.9292	LR: 0.100000
Training Epoch: 14 [8448/46200]	Loss: 0.8414	LR: 0.100000
Training Epoch: 14 [8704/46200]	Loss: 1.0073	LR: 0.100000
Training Epoch: 14 [8960/46200]	Loss: 0.8822	LR: 0.100000
Training Epoch: 14 [9216/46200]	Loss: 0.8524	LR: 0.100000
Training Epoch: 14 [9472/46200]	Loss: 0.9882	LR: 0.100000
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Training Epoch: 14 [9984/46200]	Loss: 0.8903	LR: 0.100000
Training Epoch: 14 [10240/46200]	Loss: 0.8916	LR: 0.100000
Training Epoch: 14 [10496/46200]	Loss: 0.9025	LR: 0.100000
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Training Epoch: 14 [11008/46200]	Loss: 0.8427	LR: 0.100000
Training Epoch: 14 [11264/46200]	Loss: 0.8394	LR: 0.100000
Training Epoch: 14 [11520/46200]	Loss: 0.8769	LR: 0.100000
Training Epoch: 14 [11776/46200]	Loss: 0.8035	LR: 0.100000
Training Epoch: 14 [12032/46200]	Loss: 0.8734	LR: 0.100000
Training Epoch: 14 [12288/46200]	Loss: 0.8364	LR: 0.100000
Training Epoch: 14 [12544/46200]	Loss: 0.8177	LR: 0.100000
Training Epoch: 14 [12800/46200]	Loss: 0.9625	LR: 0.100000
Training Epoch: 14 [13056/46200]	Loss: 0.9205	LR: 0.100000
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Training Epoch: 14 [20224/46200]	Loss: 0.9034	LR: 0.100000
Training Epoch: 14 [20480/46200]	Loss: 0.9325	LR: 0.100000
Training Epoch: 14 [20736/46200]	Loss: 0.7907	LR: 0.100000
Training Epoch: 14 [20992/46200]	Loss: 0.8528	LR: 0.100000
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Training Epoch: 14 [22016/46200]	Loss: 0.9496	LR: 0.100000
Training Epoch: 14 [22272/46200]	Loss: 0.8157	LR: 0.100000
Training Epoch: 14 [22528/46200]	Loss: 0.9164	LR: 0.100000
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Training Epoch: 14 [23040/46200]	Loss: 0.8716	LR: 0.100000
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Training Epoch: 14 [23552/46200]	Loss: 0.9391	LR: 0.100000
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Training Epoch: 14 [25856/46200]	Loss: 0.7794	LR: 0.100000
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Training Epoch: 14 [26368/46200]	Loss: 0.8559	LR: 0.100000
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Training Epoch: 14 [27392/46200]	Loss: 0.9919	LR: 0.100000
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Training Epoch: 14 [27904/46200]	Loss: 0.8464	LR: 0.100000
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Training Epoch: 14 [29184/46200]	Loss: 0.9477	LR: 0.100000
Training Epoch: 14 [29440/46200]	Loss: 0.9613	LR: 0.100000
Training Epoch: 14 [29696/46200]	Loss: 0.9163	LR: 0.100000
Training Epoch: 14 [29952/46200]	Loss: 0.9997	LR: 0.100000
Training Epoch: 14 [30208/46200]	Loss: 0.9478	LR: 0.100000
Training Epoch: 14 [30464/46200]	Loss: 0.9124	LR: 0.100000
Training Epoch: 14 [30720/46200]	Loss: 1.0332	LR: 0.100000
Training Epoch: 14 [30976/46200]	Loss: 0.9314	LR: 0.100000
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Training Epoch: 14 [37376/46200]	Loss: 0.9360	LR: 0.100000
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Training Epoch: 14 [37888/46200]	Loss: 0.8784	LR: 0.100000
Training Epoch: 14 [38144/46200]	Loss: 1.0644	LR: 0.100000
Training Epoch: 14 [38400/46200]	Loss: 0.9781	LR: 0.100000
Training Epoch: 14 [38656/46200]	Loss: 1.0549	LR: 0.100000
Training Epoch: 14 [38912/46200]	Loss: 0.8297	LR: 0.100000
Training Epoch: 14 [39168/46200]	Loss: 1.0547	LR: 0.100000
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Training Epoch: 14 [39680/46200]	Loss: 0.9818	LR: 0.100000
Training Epoch: 14 [39936/46200]	Loss: 0.8817	LR: 0.100000
Training Epoch: 14 [40192/46200]	Loss: 0.9166	LR: 0.100000
Training Epoch: 14 [40448/46200]	Loss: 0.9198	LR: 0.100000
Training Epoch: 14 [40704/46200]	Loss: 0.9307	LR: 0.100000
Training Epoch: 14 [40960/46200]	Loss: 0.9857	LR: 0.100000
Training Epoch: 14 [41216/46200]	Loss: 0.9335	LR: 0.100000
Training Epoch: 14 [41472/46200]	Loss: 0.9792	LR: 0.100000
Training Epoch: 14 [41728/46200]	Loss: 0.9213	LR: 0.100000
Training Epoch: 14 [41984/46200]	Loss: 0.8030	LR: 0.100000
Training Epoch: 14 [42240/46200]	Loss: 0.9900	LR: 0.100000
Training Epoch: 14 [42496/46200]	Loss: 0.9982	LR: 0.100000
Training Epoch: 14 [42752/46200]	Loss: 0.9629	LR: 0.100000
Training Epoch: 14 [43008/46200]	Loss: 1.0464	LR: 0.100000
Training Epoch: 14 [43264/46200]	Loss: 1.0861	LR: 0.100000
Training Epoch: 14 [43520/46200]	Loss: 1.0741	LR: 0.100000
Training Epoch: 14 [43776/46200]	Loss: 0.9262	LR: 0.100000
Training Epoch: 14 [44032/46200]	Loss: 0.8240	LR: 0.100000
Training Epoch: 14 [44288/46200]	Loss: 1.0587	LR: 0.100000
Training Epoch: 14 [44544/46200]	Loss: 0.9701	LR: 0.100000
Training Epoch: 14 [44800/46200]	Loss: 1.0706	LR: 0.100000
Training Epoch: 14 [45056/46200]	Loss: 0.7952	LR: 0.100000
Training Epoch: 14 [45312/46200]	Loss: 0.8580	LR: 0.100000
Training Epoch: 14 [45568/46200]	Loss: 0.9334	LR: 0.100000
Training Epoch: 14 [45824/46200]	Loss: 0.9957	LR: 0.100000
Training Epoch: 14 [46080/46200]	Loss: 0.9591	LR: 0.100000
Training Epoch: 14 [46200/46200]	Loss: 0.9296	LR: 0.100000
Epoch 14 - Average Train Loss: 0.9136, Train Accuracy: 0.7026
Epoch 14 training time consumed: 27.49s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0050, Accuracy: 0.6209, Time consumed:0.88s
Training Epoch: 15 [256/46200]	Loss: 0.8871	LR: 0.020000
Training Epoch: 15 [512/46200]	Loss: 0.8570	LR: 0.020000
Training Epoch: 15 [768/46200]	Loss: 0.9179	LR: 0.020000
Training Epoch: 15 [1024/46200]	Loss: 0.8231	LR: 0.020000
Training Epoch: 15 [1280/46200]	Loss: 0.8497	LR: 0.020000
Training Epoch: 15 [1536/46200]	Loss: 0.8802	LR: 0.020000
Training Epoch: 15 [1792/46200]	Loss: 0.7315	LR: 0.020000
Training Epoch: 15 [2048/46200]	Loss: 0.6937	LR: 0.020000
Training Epoch: 15 [2304/46200]	Loss: 0.8354	LR: 0.020000
Training Epoch: 15 [2560/46200]	Loss: 0.7490	LR: 0.020000
Training Epoch: 15 [2816/46200]	Loss: 0.8156	LR: 0.020000
Training Epoch: 15 [3072/46200]	Loss: 0.8753	LR: 0.020000
Training Epoch: 15 [3328/46200]	Loss: 0.7233	LR: 0.020000
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Training Epoch: 15 [46200/46200]	Loss: 0.5907	LR: 0.020000
Epoch 15 - Average Train Loss: 0.6708, Train Accuracy: 0.7859
Epoch 15 training time consumed: 27.60s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0030, Accuracy: 0.7559, Time consumed:0.87s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_02h_55m_57s/ResNet18-Cifar20-seed6-ret25-15-best.pth
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Training Epoch: 16 [46080/46200]	Loss: 0.6573	LR: 0.020000
Training Epoch: 16 [46200/46200]	Loss: 0.6536	LR: 0.020000
Epoch 16 - Average Train Loss: 0.5908, Train Accuracy: 0.8075
Epoch 16 training time consumed: 27.40s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0030, Accuracy: 0.7599, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_02h_55m_57s/ResNet18-Cifar20-seed6-ret25-16-best.pth
Training Epoch: 17 [256/46200]	Loss: 0.6242	LR: 0.020000
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Training Epoch: 17 [46200/46200]	Loss: 0.6068	LR: 0.020000
Epoch 17 - Average Train Loss: 0.5530, Train Accuracy: 0.8184
Epoch 17 training time consumed: 27.67s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0029, Accuracy: 0.7694, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_02h_55m_57s/ResNet18-Cifar20-seed6-ret25-17-best.pth
Training Epoch: 18 [256/46200]	Loss: 0.4331	LR: 0.020000
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Training Epoch: 18 [46200/46200]	Loss: 0.4228	LR: 0.020000
Epoch 18 - Average Train Loss: 0.5204, Train Accuracy: 0.8284
Epoch 18 training time consumed: 27.48s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0029, Accuracy: 0.7723, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_02h_55m_57s/ResNet18-Cifar20-seed6-ret25-18-best.pth
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Training Epoch: 19 [36096/46200]	Loss: 0.5642	LR: 0.020000
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Training Epoch: 19 [46080/46200]	Loss: 0.4734	LR: 0.020000
Training Epoch: 19 [46200/46200]	Loss: 0.3879	LR: 0.020000
Epoch 19 - Average Train Loss: 0.4985, Train Accuracy: 0.8354
Epoch 19 training time consumed: 28.04s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0030, Accuracy: 0.7646, Time consumed:0.89s
Training Epoch: 20 [256/46200]	Loss: 0.4544	LR: 0.020000
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Training Epoch: 20 [46200/46200]	Loss: 0.4843	LR: 0.020000
Epoch 20 - Average Train Loss: 0.4761, Train Accuracy: 0.8429
Epoch 20 training time consumed: 27.56s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0028, Accuracy: 0.7777, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_02h_55m_57s/ResNet18-Cifar20-seed6-ret25-20-best.pth
Training Epoch: 21 [256/46200]	Loss: 0.4384	LR: 0.020000
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Training Epoch: 21 [768/46200]	Loss: 0.4575	LR: 0.020000
Training Epoch: 21 [1024/46200]	Loss: 0.4599	LR: 0.020000
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Training Epoch: 21 [15872/46200]	Loss: 0.4561	LR: 0.020000
Training Epoch: 21 [16128/46200]	Loss: 0.4617	LR: 0.020000
Training Epoch: 21 [16384/46200]	Loss: 0.3855	LR: 0.020000
Training Epoch: 21 [16640/46200]	Loss: 0.5325	LR: 0.020000
Training Epoch: 21 [16896/46200]	Loss: 0.4307	LR: 0.020000
Training Epoch: 21 [17152/46200]	Loss: 0.4063	LR: 0.020000
Training Epoch: 21 [17408/46200]	Loss: 0.3967	LR: 0.020000
Training Epoch: 21 [17664/46200]	Loss: 0.3361	LR: 0.020000
Training Epoch: 21 [17920/46200]	Loss: 0.4728	LR: 0.020000
Training Epoch: 21 [18176/46200]	Loss: 0.4483	LR: 0.020000
Training Epoch: 21 [18432/46200]	Loss: 0.4516	LR: 0.020000
Training Epoch: 21 [18688/46200]	Loss: 0.3431	LR: 0.020000
Training Epoch: 21 [18944/46200]	Loss: 0.4752	LR: 0.020000
Training Epoch: 21 [19200/46200]	Loss: 0.5209	LR: 0.020000
Training Epoch: 21 [19456/46200]	Loss: 0.5323	LR: 0.020000
Training Epoch: 21 [19712/46200]	Loss: 0.4130	LR: 0.020000
Training Epoch: 21 [19968/46200]	Loss: 0.4465	LR: 0.020000
Training Epoch: 21 [20224/46200]	Loss: 0.4473	LR: 0.020000
Training Epoch: 21 [20480/46200]	Loss: 0.4541	LR: 0.020000
Training Epoch: 21 [20736/46200]	Loss: 0.4272	LR: 0.020000
Training Epoch: 21 [20992/46200]	Loss: 0.4589	LR: 0.020000
Training Epoch: 21 [21248/46200]	Loss: 0.4113	LR: 0.020000
Training Epoch: 21 [21504/46200]	Loss: 0.5088	LR: 0.020000
Training Epoch: 21 [21760/46200]	Loss: 0.4459	LR: 0.020000
Training Epoch: 21 [22016/46200]	Loss: 0.4926	LR: 0.020000
Training Epoch: 21 [22272/46200]	Loss: 0.4410	LR: 0.020000
Training Epoch: 21 [22528/46200]	Loss: 0.4268	LR: 0.020000
Training Epoch: 21 [22784/46200]	Loss: 0.4910	LR: 0.020000
Training Epoch: 21 [23040/46200]	Loss: 0.4176	LR: 0.020000
Training Epoch: 21 [23296/46200]	Loss: 0.4107	LR: 0.020000
Training Epoch: 21 [23552/46200]	Loss: 0.5735	LR: 0.020000
Training Epoch: 21 [23808/46200]	Loss: 0.3576	LR: 0.020000
Training Epoch: 21 [24064/46200]	Loss: 0.4220	LR: 0.020000
Training Epoch: 21 [24320/46200]	Loss: 0.4129	LR: 0.020000
Training Epoch: 21 [24576/46200]	Loss: 0.4426	LR: 0.020000
Training Epoch: 21 [24832/46200]	Loss: 0.4283	LR: 0.020000
Training Epoch: 21 [25088/46200]	Loss: 0.4895	LR: 0.020000
Training Epoch: 21 [25344/46200]	Loss: 0.4712	LR: 0.020000
Training Epoch: 21 [25600/46200]	Loss: 0.4362	LR: 0.020000
Training Epoch: 21 [25856/46200]	Loss: 0.4272	LR: 0.020000
Training Epoch: 21 [26112/46200]	Loss: 0.3327	LR: 0.020000
Training Epoch: 21 [26368/46200]	Loss: 0.3318	LR: 0.020000
Training Epoch: 21 [26624/46200]	Loss: 0.4421	LR: 0.020000
Training Epoch: 21 [26880/46200]	Loss: 0.4307	LR: 0.020000
Training Epoch: 21 [27136/46200]	Loss: 0.4307	LR: 0.020000
Training Epoch: 21 [27392/46200]	Loss: 0.5957	LR: 0.020000
Training Epoch: 21 [27648/46200]	Loss: 0.4265	LR: 0.020000
Training Epoch: 21 [27904/46200]	Loss: 0.4840	LR: 0.020000
Training Epoch: 21 [28160/46200]	Loss: 0.4287	LR: 0.020000
Training Epoch: 21 [28416/46200]	Loss: 0.5232	LR: 0.020000
Training Epoch: 21 [28672/46200]	Loss: 0.3773	LR: 0.020000
Training Epoch: 21 [28928/46200]	Loss: 0.3885	LR: 0.020000
Training Epoch: 21 [29184/46200]	Loss: 0.4749	LR: 0.020000
Training Epoch: 21 [29440/46200]	Loss: 0.5043	LR: 0.020000
Training Epoch: 21 [29696/46200]	Loss: 0.4694	LR: 0.020000
Training Epoch: 21 [29952/46200]	Loss: 0.5317	LR: 0.020000
Training Epoch: 21 [30208/46200]	Loss: 0.4265	LR: 0.020000
Training Epoch: 21 [30464/46200]	Loss: 0.4361	LR: 0.020000
Training Epoch: 21 [30720/46200]	Loss: 0.4804	LR: 0.020000
Training Epoch: 21 [30976/46200]	Loss: 0.3744	LR: 0.020000
Training Epoch: 21 [31232/46200]	Loss: 0.5424	LR: 0.020000
Training Epoch: 21 [31488/46200]	Loss: 0.4716	LR: 0.020000
Training Epoch: 21 [31744/46200]	Loss: 0.4952	LR: 0.020000
Training Epoch: 21 [32000/46200]	Loss: 0.4459	LR: 0.020000
Training Epoch: 21 [32256/46200]	Loss: 0.5287	LR: 0.020000
Training Epoch: 21 [32512/46200]	Loss: 0.4053	LR: 0.020000
Training Epoch: 21 [32768/46200]	Loss: 0.5064	LR: 0.020000
Training Epoch: 21 [33024/46200]	Loss: 0.5069	LR: 0.020000
Training Epoch: 21 [33280/46200]	Loss: 0.4636	LR: 0.020000
Training Epoch: 21 [33536/46200]	Loss: 0.5492	LR: 0.020000
Training Epoch: 21 [33792/46200]	Loss: 0.4936	LR: 0.020000
Training Epoch: 21 [34048/46200]	Loss: 0.4975	LR: 0.020000
Training Epoch: 21 [34304/46200]	Loss: 0.3898	LR: 0.020000
Training Epoch: 21 [34560/46200]	Loss: 0.4545	LR: 0.020000
Training Epoch: 21 [34816/46200]	Loss: 0.5747	LR: 0.020000
Training Epoch: 21 [35072/46200]	Loss: 0.4683	LR: 0.020000
Training Epoch: 21 [35328/46200]	Loss: 0.5529	LR: 0.020000
Training Epoch: 21 [35584/46200]	Loss: 0.3775	LR: 0.020000
Training Epoch: 21 [35840/46200]	Loss: 0.5212	LR: 0.020000
Training Epoch: 21 [36096/46200]	Loss: 0.4324	LR: 0.020000
Training Epoch: 21 [36352/46200]	Loss: 0.3876	LR: 0.020000
Training Epoch: 21 [36608/46200]	Loss: 0.4622	LR: 0.020000
Training Epoch: 21 [36864/46200]	Loss: 0.4484	LR: 0.020000
Training Epoch: 21 [37120/46200]	Loss: 0.4949	LR: 0.020000
Training Epoch: 21 [37376/46200]	Loss: 0.3992	LR: 0.020000
Training Epoch: 21 [37632/46200]	Loss: 0.4554	LR: 0.020000
Training Epoch: 21 [37888/46200]	Loss: 0.5120	LR: 0.020000
Training Epoch: 21 [38144/46200]	Loss: 0.5979	LR: 0.020000
Training Epoch: 21 [38400/46200]	Loss: 0.4902	LR: 0.020000
Training Epoch: 21 [38656/46200]	Loss: 0.5258	LR: 0.020000
Training Epoch: 21 [38912/46200]	Loss: 0.5554	LR: 0.020000
Training Epoch: 21 [39168/46200]	Loss: 0.4802	LR: 0.020000
Training Epoch: 21 [39424/46200]	Loss: 0.4701	LR: 0.020000
Training Epoch: 21 [39680/46200]	Loss: 0.4571	LR: 0.020000
Training Epoch: 21 [39936/46200]	Loss: 0.4776	LR: 0.020000
Training Epoch: 21 [40192/46200]	Loss: 0.4615	LR: 0.020000
Training Epoch: 21 [40448/46200]	Loss: 0.5160	LR: 0.020000
Training Epoch: 21 [40704/46200]	Loss: 0.4881	LR: 0.020000
Training Epoch: 21 [40960/46200]	Loss: 0.4965	LR: 0.020000
Training Epoch: 21 [41216/46200]	Loss: 0.4654	LR: 0.020000
Training Epoch: 21 [41472/46200]	Loss: 0.5671	LR: 0.020000
Training Epoch: 21 [41728/46200]	Loss: 0.5524	LR: 0.020000
Training Epoch: 21 [41984/46200]	Loss: 0.4270	LR: 0.020000
Training Epoch: 21 [42240/46200]	Loss: 0.5080	LR: 0.020000
Training Epoch: 21 [42496/46200]	Loss: 0.5239	LR: 0.020000
Training Epoch: 21 [42752/46200]	Loss: 0.4848	LR: 0.020000
Training Epoch: 21 [43008/46200]	Loss: 0.4210	LR: 0.020000
Training Epoch: 21 [43264/46200]	Loss: 0.5055	LR: 0.020000
Training Epoch: 21 [43520/46200]	Loss: 0.3941	LR: 0.020000
Training Epoch: 21 [43776/46200]	Loss: 0.5228	LR: 0.020000
Training Epoch: 21 [44032/46200]	Loss: 0.5600	LR: 0.020000
Training Epoch: 21 [44288/46200]	Loss: 0.4733	LR: 0.020000
Training Epoch: 21 [44544/46200]	Loss: 0.4444	LR: 0.020000
Training Epoch: 21 [44800/46200]	Loss: 0.5488	LR: 0.020000
Training Epoch: 21 [45056/46200]	Loss: 0.5518	LR: 0.020000
Training Epoch: 21 [45312/46200]	Loss: 0.4621	LR: 0.020000
Training Epoch: 21 [45568/46200]	Loss: 0.5266	LR: 0.020000
Training Epoch: 21 [45824/46200]	Loss: 0.4797	LR: 0.020000
Training Epoch: 21 [46080/46200]	Loss: 0.3944	LR: 0.020000
Training Epoch: 21 [46200/46200]	Loss: 0.5249	LR: 0.020000
Epoch 21 - Average Train Loss: 0.4550, Train Accuracy: 0.8476
Epoch 21 training time consumed: 27.61s
Evaluating Network.....
Test set: Epoch: 21, Average loss: 0.0030, Accuracy: 0.7717, Time consumed:0.89s
Training Epoch: 22 [256/46200]	Loss: 0.4492	LR: 0.020000
Training Epoch: 22 [512/46200]	Loss: 0.4943	LR: 0.020000
Training Epoch: 22 [768/46200]	Loss: 0.4878	LR: 0.020000
Training Epoch: 22 [1024/46200]	Loss: 0.4233	LR: 0.020000
Training Epoch: 22 [1280/46200]	Loss: 0.4126	LR: 0.020000
Training Epoch: 22 [1536/46200]	Loss: 0.3956	LR: 0.020000
Training Epoch: 22 [1792/46200]	Loss: 0.4237	LR: 0.020000
Training Epoch: 22 [2048/46200]	Loss: 0.4351	LR: 0.020000
Training Epoch: 22 [2304/46200]	Loss: 0.4237	LR: 0.020000
Training Epoch: 22 [2560/46200]	Loss: 0.4928	LR: 0.020000
Training Epoch: 22 [2816/46200]	Loss: 0.4179	LR: 0.020000
Training Epoch: 22 [3072/46200]	Loss: 0.4270	LR: 0.020000
Training Epoch: 22 [3328/46200]	Loss: 0.4108	LR: 0.020000
Training Epoch: 22 [3584/46200]	Loss: 0.5041	LR: 0.020000
Training Epoch: 22 [3840/46200]	Loss: 0.4108	LR: 0.020000
Training Epoch: 22 [4096/46200]	Loss: 0.4196	LR: 0.020000
Training Epoch: 22 [4352/46200]	Loss: 0.3996	LR: 0.020000
Training Epoch: 22 [4608/46200]	Loss: 0.3745	LR: 0.020000
Training Epoch: 22 [4864/46200]	Loss: 0.3904	LR: 0.020000
Training Epoch: 22 [5120/46200]	Loss: 0.4132	LR: 0.020000
Training Epoch: 22 [5376/46200]	Loss: 0.4369	LR: 0.020000
Training Epoch: 22 [5632/46200]	Loss: 0.5751	LR: 0.020000
Training Epoch: 22 [5888/46200]	Loss: 0.4602	LR: 0.020000
Training Epoch: 22 [6144/46200]	Loss: 0.3998	LR: 0.020000
Training Epoch: 22 [6400/46200]	Loss: 0.4753	LR: 0.020000
Training Epoch: 22 [6656/46200]	Loss: 0.4627	LR: 0.020000
Training Epoch: 22 [6912/46200]	Loss: 0.3840	LR: 0.020000
Training Epoch: 22 [7168/46200]	Loss: 0.4754	LR: 0.020000
Training Epoch: 22 [7424/46200]	Loss: 0.4282	LR: 0.020000
Training Epoch: 22 [7680/46200]	Loss: 0.4258	LR: 0.020000
Training Epoch: 22 [7936/46200]	Loss: 0.4248	LR: 0.020000
Training Epoch: 22 [8192/46200]	Loss: 0.4391	LR: 0.020000
Training Epoch: 22 [8448/46200]	Loss: 0.4261	LR: 0.020000
Training Epoch: 22 [8704/46200]	Loss: 0.4671	LR: 0.020000
Training Epoch: 22 [8960/46200]	Loss: 0.3860	LR: 0.020000
Training Epoch: 22 [9216/46200]	Loss: 0.4564	LR: 0.020000
Training Epoch: 22 [9472/46200]	Loss: 0.4501	LR: 0.020000
Training Epoch: 22 [9728/46200]	Loss: 0.4321	LR: 0.020000
Training Epoch: 22 [9984/46200]	Loss: 0.4486	LR: 0.020000
Training Epoch: 22 [10240/46200]	Loss: 0.4418	LR: 0.020000
Training Epoch: 22 [10496/46200]	Loss: 0.4957	LR: 0.020000
Training Epoch: 22 [10752/46200]	Loss: 0.3956	LR: 0.020000
Training Epoch: 22 [11008/46200]	Loss: 0.4874	LR: 0.020000
Training Epoch: 22 [11264/46200]	Loss: 0.4157	LR: 0.020000
Training Epoch: 22 [11520/46200]	Loss: 0.3472	LR: 0.020000
Training Epoch: 22 [11776/46200]	Loss: 0.4473	LR: 0.020000
Training Epoch: 22 [12032/46200]	Loss: 0.3995	LR: 0.020000
Training Epoch: 22 [12288/46200]	Loss: 0.4770	LR: 0.020000
Training Epoch: 22 [12544/46200]	Loss: 0.4577	LR: 0.020000
Training Epoch: 22 [12800/46200]	Loss: 0.5151	LR: 0.020000
Training Epoch: 22 [13056/46200]	Loss: 0.3777	LR: 0.020000
Training Epoch: 22 [13312/46200]	Loss: 0.3303	LR: 0.020000
Training Epoch: 22 [13568/46200]	Loss: 0.4400	LR: 0.020000
Training Epoch: 22 [13824/46200]	Loss: 0.4085	LR: 0.020000
Training Epoch: 22 [14080/46200]	Loss: 0.4151	LR: 0.020000
Training Epoch: 22 [14336/46200]	Loss: 0.4384	LR: 0.020000
Training Epoch: 22 [14592/46200]	Loss: 0.4404	LR: 0.020000
Training Epoch: 22 [14848/46200]	Loss: 0.5389	LR: 0.020000
Training Epoch: 22 [15104/46200]	Loss: 0.4825	LR: 0.020000
Training Epoch: 22 [15360/46200]	Loss: 0.4708	LR: 0.020000
Training Epoch: 22 [15616/46200]	Loss: 0.4836	LR: 0.020000
Training Epoch: 22 [15872/46200]	Loss: 0.4343	LR: 0.020000
Training Epoch: 22 [16128/46200]	Loss: 0.3850	LR: 0.020000
Training Epoch: 22 [16384/46200]	Loss: 0.4066	LR: 0.020000
Training Epoch: 22 [16640/46200]	Loss: 0.5283	LR: 0.020000
Training Epoch: 22 [16896/46200]	Loss: 0.4342	LR: 0.020000
Training Epoch: 22 [17152/46200]	Loss: 0.5086	LR: 0.020000
Training Epoch: 22 [17408/46200]	Loss: 0.4306	LR: 0.020000
Training Epoch: 22 [17664/46200]	Loss: 0.3491	LR: 0.020000
Training Epoch: 22 [17920/46200]	Loss: 0.4454	LR: 0.020000
Training Epoch: 22 [18176/46200]	Loss: 0.4676	LR: 0.020000
Training Epoch: 22 [18432/46200]	Loss: 0.3707	LR: 0.020000
Training Epoch: 22 [18688/46200]	Loss: 0.4892	LR: 0.020000
Training Epoch: 22 [18944/46200]	Loss: 0.4775	LR: 0.020000
Training Epoch: 22 [19200/46200]	Loss: 0.5249	LR: 0.020000
Training Epoch: 22 [19456/46200]	Loss: 0.3910	LR: 0.020000
Training Epoch: 22 [19712/46200]	Loss: 0.4137	LR: 0.020000
Training Epoch: 22 [19968/46200]	Loss: 0.4600	LR: 0.020000
Training Epoch: 22 [20224/46200]	Loss: 0.4003	LR: 0.020000
Training Epoch: 22 [20480/46200]	Loss: 0.4649	LR: 0.020000
Training Epoch: 22 [20736/46200]	Loss: 0.4826	LR: 0.020000
Training Epoch: 22 [20992/46200]	Loss: 0.4788	LR: 0.020000
Training Epoch: 22 [21248/46200]	Loss: 0.4009	LR: 0.020000
Training Epoch: 22 [21504/46200]	Loss: 0.4070	LR: 0.020000
Training Epoch: 22 [21760/46200]	Loss: 0.4655	LR: 0.020000
Training Epoch: 22 [22016/46200]	Loss: 0.5043	LR: 0.020000
Training Epoch: 22 [22272/46200]	Loss: 0.3761	LR: 0.020000
Training Epoch: 22 [22528/46200]	Loss: 0.4636	LR: 0.020000
Training Epoch: 22 [22784/46200]	Loss: 0.4576	LR: 0.020000
Training Epoch: 22 [23040/46200]	Loss: 0.3500	LR: 0.020000
Training Epoch: 22 [23296/46200]	Loss: 0.4631	LR: 0.020000
Training Epoch: 22 [23552/46200]	Loss: 0.4307	LR: 0.020000
Training Epoch: 22 [23808/46200]	Loss: 0.4106	LR: 0.020000
Training Epoch: 22 [24064/46200]	Loss: 0.3484	LR: 0.020000
Training Epoch: 22 [24320/46200]	Loss: 0.4185	LR: 0.020000
Training Epoch: 22 [24576/46200]	Loss: 0.4199	LR: 0.020000
Training Epoch: 22 [24832/46200]	Loss: 0.4366	LR: 0.020000
Training Epoch: 22 [25088/46200]	Loss: 0.5188	LR: 0.020000
Training Epoch: 22 [25344/46200]	Loss: 0.4169	LR: 0.020000
Training Epoch: 22 [25600/46200]	Loss: 0.4178	LR: 0.020000
Training Epoch: 22 [25856/46200]	Loss: 0.4688	LR: 0.020000
Training Epoch: 22 [26112/46200]	Loss: 0.4132	LR: 0.020000
Training Epoch: 22 [26368/46200]	Loss: 0.4444	LR: 0.020000
Training Epoch: 22 [26624/46200]	Loss: 0.3453	LR: 0.020000
Training Epoch: 22 [26880/46200]	Loss: 0.4056	LR: 0.020000
Training Epoch: 22 [27136/46200]	Loss: 0.4354	LR: 0.020000
Training Epoch: 22 [27392/46200]	Loss: 0.4590	LR: 0.020000
Training Epoch: 22 [27648/46200]	Loss: 0.3672	LR: 0.020000
Training Epoch: 22 [27904/46200]	Loss: 0.3455	LR: 0.020000
Training Epoch: 22 [28160/46200]	Loss: 0.4512	LR: 0.020000
Training Epoch: 22 [28416/46200]	Loss: 0.4134	LR: 0.020000
Training Epoch: 22 [28672/46200]	Loss: 0.3689	LR: 0.020000
Training Epoch: 22 [28928/46200]	Loss: 0.3446	LR: 0.020000
Training Epoch: 22 [29184/46200]	Loss: 0.4587	LR: 0.020000
Training Epoch: 22 [29440/46200]	Loss: 0.4554	LR: 0.020000
Training Epoch: 22 [29696/46200]	Loss: 0.4236	LR: 0.020000
Training Epoch: 22 [29952/46200]	Loss: 0.3746	LR: 0.020000
Training Epoch: 22 [30208/46200]	Loss: 0.4639	LR: 0.020000
Training Epoch: 22 [30464/46200]	Loss: 0.3740	LR: 0.020000
Training Epoch: 22 [30720/46200]	Loss: 0.4207	LR: 0.020000
Training Epoch: 22 [30976/46200]	Loss: 0.4060	LR: 0.020000
Training Epoch: 22 [31232/46200]	Loss: 0.4217	LR: 0.020000
Training Epoch: 22 [31488/46200]	Loss: 0.4377	LR: 0.020000
Training Epoch: 22 [31744/46200]	Loss: 0.4901	LR: 0.020000
Training Epoch: 22 [32000/46200]	Loss: 0.4420	LR: 0.020000
Training Epoch: 22 [32256/46200]	Loss: 0.4878	LR: 0.020000
Training Epoch: 22 [32512/46200]	Loss: 0.6109	LR: 0.020000
Training Epoch: 22 [32768/46200]	Loss: 0.3740	LR: 0.020000
Training Epoch: 22 [33024/46200]	Loss: 0.3949	LR: 0.020000
Training Epoch: 22 [33280/46200]	Loss: 0.4940	LR: 0.020000
Training Epoch: 22 [33536/46200]	Loss: 0.4415	LR: 0.020000
Training Epoch: 22 [33792/46200]	Loss: 0.4416	LR: 0.020000
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Training Epoch: 22 [34304/46200]	Loss: 0.3585	LR: 0.020000
Training Epoch: 22 [34560/46200]	Loss: 0.3819	LR: 0.020000
Training Epoch: 22 [34816/46200]	Loss: 0.4300	LR: 0.020000
Training Epoch: 22 [35072/46200]	Loss: 0.3310	LR: 0.020000
Training Epoch: 22 [35328/46200]	Loss: 0.5177	LR: 0.020000
Training Epoch: 22 [35584/46200]	Loss: 0.3882	LR: 0.020000
Training Epoch: 22 [35840/46200]	Loss: 0.3887	LR: 0.020000
Training Epoch: 22 [36096/46200]	Loss: 0.4053	LR: 0.020000
Training Epoch: 22 [36352/46200]	Loss: 0.5065	LR: 0.020000
Training Epoch: 22 [36608/46200]	Loss: 0.4434	LR: 0.020000
Training Epoch: 22 [36864/46200]	Loss: 0.3478	LR: 0.020000
Training Epoch: 22 [37120/46200]	Loss: 0.4273	LR: 0.020000
Training Epoch: 22 [37376/46200]	Loss: 0.4375	LR: 0.020000
Training Epoch: 22 [37632/46200]	Loss: 0.4379	LR: 0.020000
Training Epoch: 22 [37888/46200]	Loss: 0.4792	LR: 0.020000
Training Epoch: 22 [38144/46200]	Loss: 0.3932	LR: 0.020000
Training Epoch: 22 [38400/46200]	Loss: 0.4524	LR: 0.020000
Training Epoch: 22 [38656/46200]	Loss: 0.3276	LR: 0.020000
Training Epoch: 22 [38912/46200]	Loss: 0.4895	LR: 0.020000
Training Epoch: 22 [39168/46200]	Loss: 0.3918	LR: 0.020000
Training Epoch: 22 [39424/46200]	Loss: 0.4389	LR: 0.020000
Training Epoch: 22 [39680/46200]	Loss: 0.5709	LR: 0.020000
Training Epoch: 22 [39936/46200]	Loss: 0.5481	LR: 0.020000
Training Epoch: 22 [40192/46200]	Loss: 0.4915	LR: 0.020000
Training Epoch: 22 [40448/46200]	Loss: 0.4563	LR: 0.020000
Training Epoch: 22 [40704/46200]	Loss: 0.3740	LR: 0.020000
Training Epoch: 22 [40960/46200]	Loss: 0.3516	LR: 0.020000
Training Epoch: 22 [41216/46200]	Loss: 0.4122	LR: 0.020000
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Training Epoch: 22 [43264/46200]	Loss: 0.3641	LR: 0.020000
Training Epoch: 22 [43520/46200]	Loss: 0.3648	LR: 0.020000
Training Epoch: 22 [43776/46200]	Loss: 0.4771	LR: 0.020000
Training Epoch: 22 [44032/46200]	Loss: 0.4258	LR: 0.020000
Training Epoch: 22 [44288/46200]	Loss: 0.4194	LR: 0.020000
Training Epoch: 22 [44544/46200]	Loss: 0.4210	LR: 0.020000
Training Epoch: 22 [44800/46200]	Loss: 0.5108	LR: 0.020000
Training Epoch: 22 [45056/46200]	Loss: 0.4304	LR: 0.020000
Training Epoch: 22 [45312/46200]	Loss: 0.4788	LR: 0.020000
Training Epoch: 22 [45568/46200]	Loss: 0.4503	LR: 0.020000
Training Epoch: 22 [45824/46200]	Loss: 0.4105	LR: 0.020000
Training Epoch: 22 [46080/46200]	Loss: 0.4667	LR: 0.020000
Training Epoch: 22 [46200/46200]	Loss: 0.5464	LR: 0.020000
Epoch 22 - Average Train Loss: 0.4362, Train Accuracy: 0.8558
Epoch 22 training time consumed: 27.58s
Evaluating Network.....
Test set: Epoch: 22, Average loss: 0.0029, Accuracy: 0.7749, Time consumed:0.88s
Training Epoch: 23 [256/46200]	Loss: 0.4174	LR: 0.020000
Training Epoch: 23 [512/46200]	Loss: 0.4165	LR: 0.020000
Training Epoch: 23 [768/46200]	Loss: 0.3716	LR: 0.020000
Training Epoch: 23 [1024/46200]	Loss: 0.3804	LR: 0.020000
Training Epoch: 23 [1280/46200]	Loss: 0.4482	LR: 0.020000
Training Epoch: 23 [1536/46200]	Loss: 0.3300	LR: 0.020000
Training Epoch: 23 [1792/46200]	Loss: 0.3866	LR: 0.020000
Training Epoch: 23 [2048/46200]	Loss: 0.4208	LR: 0.020000
Training Epoch: 23 [2304/46200]	Loss: 0.4528	LR: 0.020000
Training Epoch: 23 [2560/46200]	Loss: 0.4351	LR: 0.020000
Training Epoch: 23 [2816/46200]	Loss: 0.3737	LR: 0.020000
Training Epoch: 23 [3072/46200]	Loss: 0.3626	LR: 0.020000
Training Epoch: 23 [3328/46200]	Loss: 0.4081	LR: 0.020000
Training Epoch: 23 [3584/46200]	Loss: 0.3976	LR: 0.020000
Training Epoch: 23 [3840/46200]	Loss: 0.4548	LR: 0.020000
Training Epoch: 23 [4096/46200]	Loss: 0.4822	LR: 0.020000
Training Epoch: 23 [4352/46200]	Loss: 0.3897	LR: 0.020000
Training Epoch: 23 [4608/46200]	Loss: 0.3551	LR: 0.020000
Training Epoch: 23 [4864/46200]	Loss: 0.2817	LR: 0.020000
Training Epoch: 23 [5120/46200]	Loss: 0.4315	LR: 0.020000
Training Epoch: 23 [5376/46200]	Loss: 0.3877	LR: 0.020000
Training Epoch: 23 [5632/46200]	Loss: 0.3647	LR: 0.020000
Training Epoch: 23 [5888/46200]	Loss: 0.4401	LR: 0.020000
Training Epoch: 23 [6144/46200]	Loss: 0.3761	LR: 0.020000
Training Epoch: 23 [6400/46200]	Loss: 0.3942	LR: 0.020000
Training Epoch: 23 [6656/46200]	Loss: 0.3653	LR: 0.020000
Training Epoch: 23 [6912/46200]	Loss: 0.3761	LR: 0.020000
Training Epoch: 23 [7168/46200]	Loss: 0.4423	LR: 0.020000
Training Epoch: 23 [7424/46200]	Loss: 0.3689	LR: 0.020000
Training Epoch: 23 [7680/46200]	Loss: 0.3959	LR: 0.020000
Training Epoch: 23 [7936/46200]	Loss: 0.4473	LR: 0.020000
Training Epoch: 23 [8192/46200]	Loss: 0.3936	LR: 0.020000
Training Epoch: 23 [8448/46200]	Loss: 0.4077	LR: 0.020000
Training Epoch: 23 [8704/46200]	Loss: 0.4373	LR: 0.020000
Training Epoch: 23 [8960/46200]	Loss: 0.5133	LR: 0.020000
Training Epoch: 23 [9216/46200]	Loss: 0.3726	LR: 0.020000
Training Epoch: 23 [9472/46200]	Loss: 0.5150	LR: 0.020000
Training Epoch: 23 [9728/46200]	Loss: 0.3971	LR: 0.020000
Training Epoch: 23 [9984/46200]	Loss: 0.4017	LR: 0.020000
Training Epoch: 23 [10240/46200]	Loss: 0.3427	LR: 0.020000
Training Epoch: 23 [10496/46200]	Loss: 0.3235	LR: 0.020000
Training Epoch: 23 [10752/46200]	Loss: 0.4134	LR: 0.020000
Training Epoch: 23 [11008/46200]	Loss: 0.2637	LR: 0.020000
Training Epoch: 23 [11264/46200]	Loss: 0.3913	LR: 0.020000
Training Epoch: 23 [11520/46200]	Loss: 0.3903	LR: 0.020000
Training Epoch: 23 [11776/46200]	Loss: 0.4580	LR: 0.020000
Training Epoch: 23 [12032/46200]	Loss: 0.3574	LR: 0.020000
Training Epoch: 23 [12288/46200]	Loss: 0.3857	LR: 0.020000
Training Epoch: 23 [12544/46200]	Loss: 0.4133	LR: 0.020000
Training Epoch: 23 [12800/46200]	Loss: 0.3616	LR: 0.020000
Training Epoch: 23 [13056/46200]	Loss: 0.3949	LR: 0.020000
Training Epoch: 23 [13312/46200]	Loss: 0.4207	LR: 0.020000
Training Epoch: 23 [13568/46200]	Loss: 0.5219	LR: 0.020000
Training Epoch: 23 [13824/46200]	Loss: 0.4314	LR: 0.020000
Training Epoch: 23 [14080/46200]	Loss: 0.3492	LR: 0.020000
Training Epoch: 23 [14336/46200]	Loss: 0.4136	LR: 0.020000
Training Epoch: 23 [14592/46200]	Loss: 0.3543	LR: 0.020000
Training Epoch: 23 [14848/46200]	Loss: 0.3740	LR: 0.020000
Training Epoch: 23 [15104/46200]	Loss: 0.5000	LR: 0.020000
Training Epoch: 23 [15360/46200]	Loss: 0.3906	LR: 0.020000
Training Epoch: 23 [15616/46200]	Loss: 0.3890	LR: 0.020000
Training Epoch: 23 [15872/46200]	Loss: 0.4828	LR: 0.020000
Training Epoch: 23 [16128/46200]	Loss: 0.4068	LR: 0.020000
Training Epoch: 23 [16384/46200]	Loss: 0.4756	LR: 0.020000
Training Epoch: 23 [16640/46200]	Loss: 0.3413	LR: 0.020000
Training Epoch: 23 [16896/46200]	Loss: 0.4201	LR: 0.020000
Training Epoch: 23 [17152/46200]	Loss: 0.4170	LR: 0.020000
Training Epoch: 23 [17408/46200]	Loss: 0.3245	LR: 0.020000
Training Epoch: 23 [17664/46200]	Loss: 0.4254	LR: 0.020000
Training Epoch: 23 [17920/46200]	Loss: 0.4285	LR: 0.020000
Training Epoch: 23 [18176/46200]	Loss: 0.3470	LR: 0.020000
Training Epoch: 23 [18432/46200]	Loss: 0.4827	LR: 0.020000
Training Epoch: 23 [18688/46200]	Loss: 0.3871	LR: 0.020000
Training Epoch: 23 [18944/46200]	Loss: 0.4532	LR: 0.020000
Training Epoch: 23 [19200/46200]	Loss: 0.3493	LR: 0.020000
Training Epoch: 23 [19456/46200]	Loss: 0.4054	LR: 0.020000
Training Epoch: 23 [19712/46200]	Loss: 0.6145	LR: 0.020000
Training Epoch: 23 [19968/46200]	Loss: 0.4619	LR: 0.020000
Training Epoch: 23 [20224/46200]	Loss: 0.4032	LR: 0.020000
Training Epoch: 23 [20480/46200]	Loss: 0.3229	LR: 0.020000
Training Epoch: 23 [20736/46200]	Loss: 0.4750	LR: 0.020000
Training Epoch: 23 [20992/46200]	Loss: 0.4228	LR: 0.020000
Training Epoch: 23 [21248/46200]	Loss: 0.3823	LR: 0.020000
Training Epoch: 23 [21504/46200]	Loss: 0.4661	LR: 0.020000
Training Epoch: 23 [21760/46200]	Loss: 0.4119	LR: 0.020000
Training Epoch: 23 [22016/46200]	Loss: 0.4685	LR: 0.020000
Training Epoch: 23 [22272/46200]	Loss: 0.4222	LR: 0.020000
Training Epoch: 23 [22528/46200]	Loss: 0.3285	LR: 0.020000
Training Epoch: 23 [22784/46200]	Loss: 0.3667	LR: 0.020000
Training Epoch: 23 [23040/46200]	Loss: 0.4430	LR: 0.020000
Training Epoch: 23 [23296/46200]	Loss: 0.4412	LR: 0.020000
Training Epoch: 23 [23552/46200]	Loss: 0.3391	LR: 0.020000
Training Epoch: 23 [23808/46200]	Loss: 0.4477	LR: 0.020000
Training Epoch: 23 [24064/46200]	Loss: 0.3306	LR: 0.020000
Training Epoch: 23 [24320/46200]	Loss: 0.4027	LR: 0.020000
Training Epoch: 23 [24576/46200]	Loss: 0.4364	LR: 0.020000
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Training Epoch: 23 [26368/46200]	Loss: 0.3583	LR: 0.020000
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Training Epoch: 23 [27136/46200]	Loss: 0.4688	LR: 0.020000
Training Epoch: 23 [27392/46200]	Loss: 0.3314	LR: 0.020000
Training Epoch: 23 [27648/46200]	Loss: 0.3603	LR: 0.020000
Training Epoch: 23 [27904/46200]	Loss: 0.4557	LR: 0.020000
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Training Epoch: 23 [28416/46200]	Loss: 0.4975	LR: 0.020000
Training Epoch: 23 [28672/46200]	Loss: 0.3643	LR: 0.020000
Training Epoch: 23 [28928/46200]	Loss: 0.4898	LR: 0.020000
Training Epoch: 23 [29184/46200]	Loss: 0.4307	LR: 0.020000
Training Epoch: 23 [29440/46200]	Loss: 0.3724	LR: 0.020000
Training Epoch: 23 [29696/46200]	Loss: 0.4085	LR: 0.020000
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Training Epoch: 23 [30464/46200]	Loss: 0.4184	LR: 0.020000
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Training Epoch: 23 [35072/46200]	Loss: 0.3688	LR: 0.020000
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Training Epoch: 23 [37632/46200]	Loss: 0.3918	LR: 0.020000
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Training Epoch: 23 [39168/46200]	Loss: 0.3680	LR: 0.020000
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Training Epoch: 23 [40192/46200]	Loss: 0.3884	LR: 0.020000
Training Epoch: 23 [40448/46200]	Loss: 0.4117	LR: 0.020000
Training Epoch: 23 [40704/46200]	Loss: 0.4432	LR: 0.020000
Training Epoch: 23 [40960/46200]	Loss: 0.4362	LR: 0.020000
Training Epoch: 23 [41216/46200]	Loss: 0.4224	LR: 0.020000
Training Epoch: 23 [41472/46200]	Loss: 0.4984	LR: 0.020000
Training Epoch: 23 [41728/46200]	Loss: 0.5362	LR: 0.020000
Training Epoch: 23 [41984/46200]	Loss: 0.4519	LR: 0.020000
Training Epoch: 23 [42240/46200]	Loss: 0.4290	LR: 0.020000
Training Epoch: 23 [42496/46200]	Loss: 0.5430	LR: 0.020000
Training Epoch: 23 [42752/46200]	Loss: 0.4594	LR: 0.020000
Training Epoch: 23 [43008/46200]	Loss: 0.4507	LR: 0.020000
Training Epoch: 23 [43264/46200]	Loss: 0.3544	LR: 0.020000
Training Epoch: 23 [43520/46200]	Loss: 0.4368	LR: 0.020000
Training Epoch: 23 [43776/46200]	Loss: 0.5074	LR: 0.020000
Training Epoch: 23 [44032/46200]	Loss: 0.4001	LR: 0.020000
Training Epoch: 23 [44288/46200]	Loss: 0.4719	LR: 0.020000
Training Epoch: 23 [44544/46200]	Loss: 0.5105	LR: 0.020000
Training Epoch: 23 [44800/46200]	Loss: 0.4833	LR: 0.020000
Training Epoch: 23 [45056/46200]	Loss: 0.3686	LR: 0.020000
Training Epoch: 23 [45312/46200]	Loss: 0.4621	LR: 0.020000
Training Epoch: 23 [45568/46200]	Loss: 0.4038	LR: 0.020000
Training Epoch: 23 [45824/46200]	Loss: 0.4178	LR: 0.020000
Training Epoch: 23 [46080/46200]	Loss: 0.4366	LR: 0.020000
Training Epoch: 23 [46200/46200]	Loss: 0.5919	LR: 0.020000
Epoch 23 - Average Train Loss: 0.4186, Train Accuracy: 0.8606
Epoch 23 training time consumed: 27.60s
Evaluating Network.....
Test set: Epoch: 23, Average loss: 0.0031, Accuracy: 0.7681, Time consumed:0.98s
Training Epoch: 24 [256/46200]	Loss: 0.3294	LR: 0.020000
Training Epoch: 24 [512/46200]	Loss: 0.4658	LR: 0.020000
Training Epoch: 24 [768/46200]	Loss: 0.3663	LR: 0.020000
Training Epoch: 24 [1024/46200]	Loss: 0.4014	LR: 0.020000
Training Epoch: 24 [1280/46200]	Loss: 0.3906	LR: 0.020000
Training Epoch: 24 [1536/46200]	Loss: 0.3547	LR: 0.020000
Training Epoch: 24 [1792/46200]	Loss: 0.3047	LR: 0.020000
Training Epoch: 24 [2048/46200]	Loss: 0.3691	LR: 0.020000
Training Epoch: 24 [2304/46200]	Loss: 0.4740	LR: 0.020000
Training Epoch: 24 [2560/46200]	Loss: 0.3649	LR: 0.020000
Training Epoch: 24 [2816/46200]	Loss: 0.3360	LR: 0.020000
Training Epoch: 24 [3072/46200]	Loss: 0.4093	LR: 0.020000
Training Epoch: 24 [3328/46200]	Loss: 0.3502	LR: 0.020000
Training Epoch: 24 [3584/46200]	Loss: 0.3579	LR: 0.020000
Training Epoch: 24 [3840/46200]	Loss: 0.3459	LR: 0.020000
Training Epoch: 24 [4096/46200]	Loss: 0.4383	LR: 0.020000
Training Epoch: 24 [4352/46200]	Loss: 0.3755	LR: 0.020000
Training Epoch: 24 [4608/46200]	Loss: 0.4334	LR: 0.020000
Training Epoch: 24 [4864/46200]	Loss: 0.3999	LR: 0.020000
Training Epoch: 24 [5120/46200]	Loss: 0.2925	LR: 0.020000
Training Epoch: 24 [5376/46200]	Loss: 0.3520	LR: 0.020000
Training Epoch: 24 [5632/46200]	Loss: 0.3652	LR: 0.020000
Training Epoch: 24 [5888/46200]	Loss: 0.3782	LR: 0.020000
Training Epoch: 24 [6144/46200]	Loss: 0.4537	LR: 0.020000
Training Epoch: 24 [6400/46200]	Loss: 0.2985	LR: 0.020000
Training Epoch: 24 [6656/46200]	Loss: 0.4146	LR: 0.020000
Training Epoch: 24 [6912/46200]	Loss: 0.3862	LR: 0.020000
Training Epoch: 24 [7168/46200]	Loss: 0.3403	LR: 0.020000
Training Epoch: 24 [7424/46200]	Loss: 0.3444	LR: 0.020000
Training Epoch: 24 [7680/46200]	Loss: 0.4024	LR: 0.020000
Training Epoch: 24 [7936/46200]	Loss: 0.3821	LR: 0.020000
Training Epoch: 24 [8192/46200]	Loss: 0.4546	LR: 0.020000
Training Epoch: 24 [8448/46200]	Loss: 0.4177	LR: 0.020000
Training Epoch: 24 [8704/46200]	Loss: 0.3606	LR: 0.020000
Training Epoch: 24 [8960/46200]	Loss: 0.3028	LR: 0.020000
Training Epoch: 24 [9216/46200]	Loss: 0.4251	LR: 0.020000
Training Epoch: 24 [9472/46200]	Loss: 0.3784	LR: 0.020000
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Training Epoch: 24 [9984/46200]	Loss: 0.3293	LR: 0.020000
Training Epoch: 24 [10240/46200]	Loss: 0.4529	LR: 0.020000
Training Epoch: 24 [10496/46200]	Loss: 0.3461	LR: 0.020000
Training Epoch: 24 [10752/46200]	Loss: 0.4078	LR: 0.020000
Training Epoch: 24 [11008/46200]	Loss: 0.3503	LR: 0.020000
Training Epoch: 24 [11264/46200]	Loss: 0.4324	LR: 0.020000
Training Epoch: 24 [11520/46200]	Loss: 0.4062	LR: 0.020000
Training Epoch: 24 [11776/46200]	Loss: 0.4255	LR: 0.020000
Training Epoch: 24 [12032/46200]	Loss: 0.4585	LR: 0.020000
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Training Epoch: 24 [12544/46200]	Loss: 0.3616	LR: 0.020000
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Training Epoch: 24 [13312/46200]	Loss: 0.4414	LR: 0.020000
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Training Epoch: 24 [15360/46200]	Loss: 0.3559	LR: 0.020000
Training Epoch: 24 [15616/46200]	Loss: 0.4474	LR: 0.020000
Training Epoch: 24 [15872/46200]	Loss: 0.4134	LR: 0.020000
Training Epoch: 24 [16128/46200]	Loss: 0.3717	LR: 0.020000
Training Epoch: 24 [16384/46200]	Loss: 0.4183	LR: 0.020000
Training Epoch: 24 [16640/46200]	Loss: 0.4177	LR: 0.020000
Training Epoch: 24 [16896/46200]	Loss: 0.3717	LR: 0.020000
Training Epoch: 24 [17152/46200]	Loss: 0.3656	LR: 0.020000
Training Epoch: 24 [17408/46200]	Loss: 0.4158	LR: 0.020000
Training Epoch: 24 [17664/46200]	Loss: 0.3216	LR: 0.020000
Training Epoch: 24 [17920/46200]	Loss: 0.4241	LR: 0.020000
Training Epoch: 24 [18176/46200]	Loss: 0.4579	LR: 0.020000
Training Epoch: 24 [18432/46200]	Loss: 0.4179	LR: 0.020000
Training Epoch: 24 [18688/46200]	Loss: 0.4153	LR: 0.020000
Training Epoch: 24 [18944/46200]	Loss: 0.3351	LR: 0.020000
Training Epoch: 24 [19200/46200]	Loss: 0.4615	LR: 0.020000
Training Epoch: 24 [19456/46200]	Loss: 0.3708	LR: 0.020000
Training Epoch: 24 [19712/46200]	Loss: 0.4987	LR: 0.020000
Training Epoch: 24 [19968/46200]	Loss: 0.3571	LR: 0.020000
Training Epoch: 24 [20224/46200]	Loss: 0.3752	LR: 0.020000
Training Epoch: 24 [20480/46200]	Loss: 0.3466	LR: 0.020000
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Training Epoch: 24 [20992/46200]	Loss: 0.3597	LR: 0.020000
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Training Epoch: 24 [21504/46200]	Loss: 0.3807	LR: 0.020000
Training Epoch: 24 [21760/46200]	Loss: 0.4182	LR: 0.020000
Training Epoch: 24 [22016/46200]	Loss: 0.3282	LR: 0.020000
Training Epoch: 24 [22272/46200]	Loss: 0.4246	LR: 0.020000
Training Epoch: 24 [22528/46200]	Loss: 0.3817	LR: 0.020000
Training Epoch: 24 [22784/46200]	Loss: 0.3719	LR: 0.020000
Training Epoch: 24 [23040/46200]	Loss: 0.4114	LR: 0.020000
Training Epoch: 24 [23296/46200]	Loss: 0.3821	LR: 0.020000
Training Epoch: 24 [23552/46200]	Loss: 0.4412	LR: 0.020000
Training Epoch: 24 [23808/46200]	Loss: 0.3829	LR: 0.020000
Training Epoch: 24 [24064/46200]	Loss: 0.4024	LR: 0.020000
Training Epoch: 24 [24320/46200]	Loss: 0.3997	LR: 0.020000
Training Epoch: 24 [24576/46200]	Loss: 0.4615	LR: 0.020000
Training Epoch: 24 [24832/46200]	Loss: 0.3591	LR: 0.020000
Training Epoch: 24 [25088/46200]	Loss: 0.4145	LR: 0.020000
Training Epoch: 24 [25344/46200]	Loss: 0.4484	LR: 0.020000
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Training Epoch: 24 [26368/46200]	Loss: 0.3987	LR: 0.020000
Training Epoch: 24 [26624/46200]	Loss: 0.3205	LR: 0.020000
Training Epoch: 24 [26880/46200]	Loss: 0.3716	LR: 0.020000
Training Epoch: 24 [27136/46200]	Loss: 0.4739	LR: 0.020000
Training Epoch: 24 [27392/46200]	Loss: 0.3699	LR: 0.020000
Training Epoch: 24 [27648/46200]	Loss: 0.4377	LR: 0.020000
Training Epoch: 24 [27904/46200]	Loss: 0.3286	LR: 0.020000
Training Epoch: 24 [28160/46200]	Loss: 0.4294	LR: 0.020000
Training Epoch: 24 [28416/46200]	Loss: 0.3525	LR: 0.020000
Training Epoch: 24 [28672/46200]	Loss: 0.4077	LR: 0.020000
Training Epoch: 24 [28928/46200]	Loss: 0.4409	LR: 0.020000
Training Epoch: 24 [29184/46200]	Loss: 0.4851	LR: 0.020000
Training Epoch: 24 [29440/46200]	Loss: 0.5085	LR: 0.020000
Training Epoch: 24 [29696/46200]	Loss: 0.4706	LR: 0.020000
Training Epoch: 24 [29952/46200]	Loss: 0.4757	LR: 0.020000
Training Epoch: 24 [30208/46200]	Loss: 0.4330	LR: 0.020000
Training Epoch: 24 [30464/46200]	Loss: 0.3653	LR: 0.020000
Training Epoch: 24 [30720/46200]	Loss: 0.3526	LR: 0.020000
Training Epoch: 24 [30976/46200]	Loss: 0.4241	LR: 0.020000
Training Epoch: 24 [31232/46200]	Loss: 0.4599	LR: 0.020000
Training Epoch: 24 [31488/46200]	Loss: 0.4155	LR: 0.020000
Training Epoch: 24 [31744/46200]	Loss: 0.3917	LR: 0.020000
Training Epoch: 24 [32000/46200]	Loss: 0.3469	LR: 0.020000
Training Epoch: 24 [32256/46200]	Loss: 0.4435	LR: 0.020000
Training Epoch: 24 [32512/46200]	Loss: 0.4623	LR: 0.020000
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Training Epoch: 24 [34304/46200]	Loss: 0.3361	LR: 0.020000
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Training Epoch: 24 [35072/46200]	Loss: 0.4113	LR: 0.020000
Training Epoch: 24 [35328/46200]	Loss: 0.3224	LR: 0.020000
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Training Epoch: 24 [36352/46200]	Loss: 0.3251	LR: 0.020000
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Training Epoch: 24 [37376/46200]	Loss: 0.3261	LR: 0.020000
Training Epoch: 24 [37632/46200]	Loss: 0.4045	LR: 0.020000
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Training Epoch: 24 [38144/46200]	Loss: 0.3360	LR: 0.020000
Training Epoch: 24 [38400/46200]	Loss: 0.4269	LR: 0.020000
Training Epoch: 24 [38656/46200]	Loss: 0.4410	LR: 0.020000
Training Epoch: 24 [38912/46200]	Loss: 0.4683	LR: 0.020000
Training Epoch: 24 [39168/46200]	Loss: 0.4775	LR: 0.020000
Training Epoch: 24 [39424/46200]	Loss: 0.4702	LR: 0.020000
Training Epoch: 24 [39680/46200]	Loss: 0.3386	LR: 0.020000
Training Epoch: 24 [39936/46200]	Loss: 0.4509	LR: 0.020000
Training Epoch: 24 [40192/46200]	Loss: 0.4755	LR: 0.020000
Training Epoch: 24 [40448/46200]	Loss: 0.4956	LR: 0.020000
Training Epoch: 24 [40704/46200]	Loss: 0.3335	LR: 0.020000
Training Epoch: 24 [40960/46200]	Loss: 0.4111	LR: 0.020000
Training Epoch: 24 [41216/46200]	Loss: 0.3798	LR: 0.020000
Training Epoch: 24 [41472/46200]	Loss: 0.3533	LR: 0.020000
Training Epoch: 24 [41728/46200]	Loss: 0.5147	LR: 0.020000
Training Epoch: 24 [41984/46200]	Loss: 0.4657	LR: 0.020000
Training Epoch: 24 [42240/46200]	Loss: 0.3875	LR: 0.020000
Training Epoch: 24 [42496/46200]	Loss: 0.4307	LR: 0.020000
Training Epoch: 24 [42752/46200]	Loss: 0.3172	LR: 0.020000
Training Epoch: 24 [43008/46200]	Loss: 0.4092	LR: 0.020000
Training Epoch: 24 [43264/46200]	Loss: 0.3841	LR: 0.020000
Training Epoch: 24 [43520/46200]	Loss: 0.3945	LR: 0.020000
Training Epoch: 24 [43776/46200]	Loss: 0.4622	LR: 0.020000
Training Epoch: 24 [44032/46200]	Loss: 0.4602	LR: 0.020000
Training Epoch: 24 [44288/46200]	Loss: 0.3624	LR: 0.020000
Training Epoch: 24 [44544/46200]	Loss: 0.4390	LR: 0.020000
Training Epoch: 24 [44800/46200]	Loss: 0.4416	LR: 0.020000
Training Epoch: 24 [45056/46200]	Loss: 0.3823	LR: 0.020000
Training Epoch: 24 [45312/46200]	Loss: 0.4472	LR: 0.020000
Training Epoch: 24 [45568/46200]	Loss: 0.4301	LR: 0.020000
Training Epoch: 24 [45824/46200]	Loss: 0.4745	LR: 0.020000
Training Epoch: 24 [46080/46200]	Loss: 0.4909	LR: 0.020000
Training Epoch: 24 [46200/46200]	Loss: 0.3979	LR: 0.020000
Epoch 24 - Average Train Loss: 0.4010, Train Accuracy: 0.8662
Epoch 24 training time consumed: 27.54s
Evaluating Network.....
Test set: Epoch: 24, Average loss: 0.0032, Accuracy: 0.7631, Time consumed:0.87s
Training Epoch: 25 [256/46200]	Loss: 0.3297	LR: 0.020000
Training Epoch: 25 [512/46200]	Loss: 0.3478	LR: 0.020000
Training Epoch: 25 [768/46200]	Loss: 0.3342	LR: 0.020000
Training Epoch: 25 [1024/46200]	Loss: 0.3438	LR: 0.020000
Training Epoch: 25 [1280/46200]	Loss: 0.3888	LR: 0.020000
Training Epoch: 25 [1536/46200]	Loss: 0.3955	LR: 0.020000
Training Epoch: 25 [1792/46200]	Loss: 0.3313	LR: 0.020000
Training Epoch: 25 [2048/46200]	Loss: 0.3646	LR: 0.020000
Training Epoch: 25 [2304/46200]	Loss: 0.2908	LR: 0.020000
Training Epoch: 25 [2560/46200]	Loss: 0.4033	LR: 0.020000
Training Epoch: 25 [2816/46200]	Loss: 0.3502	LR: 0.020000
Training Epoch: 25 [3072/46200]	Loss: 0.3773	LR: 0.020000
Training Epoch: 25 [3328/46200]	Loss: 0.4085	LR: 0.020000
Training Epoch: 25 [3584/46200]	Loss: 0.4289	LR: 0.020000
Training Epoch: 25 [3840/46200]	Loss: 0.2667	LR: 0.020000
Training Epoch: 25 [4096/46200]	Loss: 0.3396	LR: 0.020000
Training Epoch: 25 [4352/46200]	Loss: 0.2997	LR: 0.020000
Training Epoch: 25 [4608/46200]	Loss: 0.3296	LR: 0.020000
Training Epoch: 25 [4864/46200]	Loss: 0.3528	LR: 0.020000
Training Epoch: 25 [5120/46200]	Loss: 0.3754	LR: 0.020000
Training Epoch: 25 [5376/46200]	Loss: 0.3761	LR: 0.020000
Training Epoch: 25 [5632/46200]	Loss: 0.3993	LR: 0.020000
Training Epoch: 25 [5888/46200]	Loss: 0.3007	LR: 0.020000
Training Epoch: 25 [6144/46200]	Loss: 0.2770	LR: 0.020000
Training Epoch: 25 [6400/46200]	Loss: 0.3624	LR: 0.020000
Training Epoch: 25 [6656/46200]	Loss: 0.3446	LR: 0.020000
Training Epoch: 25 [6912/46200]	Loss: 0.3360	LR: 0.020000
Training Epoch: 25 [7168/46200]	Loss: 0.3812	LR: 0.020000
Training Epoch: 25 [7424/46200]	Loss: 0.3525	LR: 0.020000
Training Epoch: 25 [7680/46200]	Loss: 0.3859	LR: 0.020000
Training Epoch: 25 [7936/46200]	Loss: 0.3960	LR: 0.020000
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Training Epoch: 25 [8448/46200]	Loss: 0.2530	LR: 0.020000
Training Epoch: 25 [8704/46200]	Loss: 0.3823	LR: 0.020000
Training Epoch: 25 [8960/46200]	Loss: 0.4018	LR: 0.020000
Training Epoch: 25 [9216/46200]	Loss: 0.3498	LR: 0.020000
Training Epoch: 25 [9472/46200]	Loss: 0.4079	LR: 0.020000
Training Epoch: 25 [9728/46200]	Loss: 0.3366	LR: 0.020000
Training Epoch: 25 [9984/46200]	Loss: 0.2910	LR: 0.020000
Training Epoch: 25 [10240/46200]	Loss: 0.3160	LR: 0.020000
Training Epoch: 25 [10496/46200]	Loss: 0.4288	LR: 0.020000
Training Epoch: 25 [10752/46200]	Loss: 0.3287	LR: 0.020000
Training Epoch: 25 [11008/46200]	Loss: 0.3726	LR: 0.020000
Training Epoch: 25 [11264/46200]	Loss: 0.3147	LR: 0.020000
Training Epoch: 25 [11520/46200]	Loss: 0.2951	LR: 0.020000
Training Epoch: 25 [11776/46200]	Loss: 0.3714	LR: 0.020000
Training Epoch: 25 [12032/46200]	Loss: 0.3859	LR: 0.020000
Training Epoch: 25 [12288/46200]	Loss: 0.3646	LR: 0.020000
Training Epoch: 25 [12544/46200]	Loss: 0.3524	LR: 0.020000
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Training Epoch: 25 [13056/46200]	Loss: 0.3578	LR: 0.020000
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Training Epoch: 25 [13568/46200]	Loss: 0.3916	LR: 0.020000
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Training Epoch: 25 [16896/46200]	Loss: 0.3616	LR: 0.020000
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Training Epoch: 25 [18688/46200]	Loss: 0.3939	LR: 0.020000
Training Epoch: 25 [18944/46200]	Loss: 0.4146	LR: 0.020000
Training Epoch: 25 [19200/46200]	Loss: 0.4485	LR: 0.020000
Training Epoch: 25 [19456/46200]	Loss: 0.3967	LR: 0.020000
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Training Epoch: 25 [22016/46200]	Loss: 0.3155	LR: 0.020000
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Training Epoch: 25 [23552/46200]	Loss: 0.4267	LR: 0.020000
Training Epoch: 25 [23808/46200]	Loss: 0.3996	LR: 0.020000
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Training Epoch: 25 [24576/46200]	Loss: 0.4219	LR: 0.020000
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Training Epoch: 25 [27136/46200]	Loss: 0.3053	LR: 0.020000
Training Epoch: 25 [27392/46200]	Loss: 0.3648	LR: 0.020000
Training Epoch: 25 [27648/46200]	Loss: 0.5087	LR: 0.020000
Training Epoch: 25 [27904/46200]	Loss: 0.4524	LR: 0.020000
Training Epoch: 25 [28160/46200]	Loss: 0.2995	LR: 0.020000
Training Epoch: 25 [28416/46200]	Loss: 0.4493	LR: 0.020000
Training Epoch: 25 [28672/46200]	Loss: 0.4825	LR: 0.020000
Training Epoch: 25 [28928/46200]	Loss: 0.3049	LR: 0.020000
Training Epoch: 25 [29184/46200]	Loss: 0.2917	LR: 0.020000
Training Epoch: 25 [29440/46200]	Loss: 0.4894	LR: 0.020000
Training Epoch: 25 [29696/46200]	Loss: 0.4332	LR: 0.020000
Training Epoch: 25 [29952/46200]	Loss: 0.4388	LR: 0.020000
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Training Epoch: 25 [30464/46200]	Loss: 0.3988	LR: 0.020000
Training Epoch: 25 [30720/46200]	Loss: 0.4982	LR: 0.020000
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Training Epoch: 25 [35072/46200]	Loss: 0.3997	LR: 0.020000
Training Epoch: 25 [35328/46200]	Loss: 0.3668	LR: 0.020000
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Training Epoch: 25 [36352/46200]	Loss: 0.3891	LR: 0.020000
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Training Epoch: 25 [37376/46200]	Loss: 0.4808	LR: 0.020000
Training Epoch: 25 [37632/46200]	Loss: 0.4153	LR: 0.020000
Training Epoch: 25 [37888/46200]	Loss: 0.3974	LR: 0.020000
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Training Epoch: 25 [38400/46200]	Loss: 0.4308	LR: 0.020000
Training Epoch: 25 [38656/46200]	Loss: 0.3414	LR: 0.020000
Training Epoch: 25 [38912/46200]	Loss: 0.4051	LR: 0.020000
Training Epoch: 25 [39168/46200]	Loss: 0.5072	LR: 0.020000
Training Epoch: 25 [39424/46200]	Loss: 0.4533	LR: 0.020000
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Training Epoch: 25 [40192/46200]	Loss: 0.4707	LR: 0.020000
Training Epoch: 25 [40448/46200]	Loss: 0.3526	LR: 0.020000
Training Epoch: 25 [40704/46200]	Loss: 0.4193	LR: 0.020000
Training Epoch: 25 [40960/46200]	Loss: 0.4167	LR: 0.020000
Training Epoch: 25 [41216/46200]	Loss: 0.4647	LR: 0.020000
Training Epoch: 25 [41472/46200]	Loss: 0.3999	LR: 0.020000
Training Epoch: 25 [41728/46200]	Loss: 0.4268	LR: 0.020000
Training Epoch: 25 [41984/46200]	Loss: 0.3510	LR: 0.020000
Training Epoch: 25 [42240/46200]	Loss: 0.4550	LR: 0.020000
Training Epoch: 25 [42496/46200]	Loss: 0.4543	LR: 0.020000
Training Epoch: 25 [42752/46200]	Loss: 0.4599	LR: 0.020000
Training Epoch: 25 [43008/46200]	Loss: 0.4453	LR: 0.020000
Training Epoch: 25 [43264/46200]	Loss: 0.3624	LR: 0.020000
Training Epoch: 25 [43520/46200]	Loss: 0.3683	LR: 0.020000
Training Epoch: 25 [43776/46200]	Loss: 0.3789	LR: 0.020000
Training Epoch: 25 [44032/46200]	Loss: 0.4649	LR: 0.020000
Training Epoch: 25 [44288/46200]	Loss: 0.3890	LR: 0.020000
Training Epoch: 25 [44544/46200]	Loss: 0.4111	LR: 0.020000
Training Epoch: 25 [44800/46200]	Loss: 0.4939	LR: 0.020000
Training Epoch: 25 [45056/46200]	Loss: 0.4758	LR: 0.020000
Training Epoch: 25 [45312/46200]	Loss: 0.4138	LR: 0.020000
Training Epoch: 25 [45568/46200]	Loss: 0.3781	LR: 0.020000
Training Epoch: 25 [45824/46200]	Loss: 0.3386	LR: 0.020000
Training Epoch: 25 [46080/46200]	Loss: 0.4017	LR: 0.020000
Training Epoch: 25 [46200/46200]	Loss: 0.3218	LR: 0.020000
Epoch 25 - Average Train Loss: 0.3911, Train Accuracy: 0.8687
Epoch 25 training time consumed: 27.55s
Evaluating Network.....
Test set: Epoch: 25, Average loss: 0.0032, Accuracy: 0.7728, Time consumed:0.87s
Training Epoch: 26 [256/46200]	Loss: 0.3761	LR: 0.020000
Training Epoch: 26 [512/46200]	Loss: 0.3358	LR: 0.020000
Training Epoch: 26 [768/46200]	Loss: 0.4006	LR: 0.020000
Training Epoch: 26 [1024/46200]	Loss: 0.3060	LR: 0.020000
Training Epoch: 26 [1280/46200]	Loss: 0.3973	LR: 0.020000
Training Epoch: 26 [1536/46200]	Loss: 0.3814	LR: 0.020000
Training Epoch: 26 [1792/46200]	Loss: 0.3552	LR: 0.020000
Training Epoch: 26 [2048/46200]	Loss: 0.3899	LR: 0.020000
Training Epoch: 26 [2304/46200]	Loss: 0.3822	LR: 0.020000
Training Epoch: 26 [2560/46200]	Loss: 0.4050	LR: 0.020000
Training Epoch: 26 [2816/46200]	Loss: 0.3105	LR: 0.020000
Training Epoch: 26 [3072/46200]	Loss: 0.3648	LR: 0.020000
Training Epoch: 26 [3328/46200]	Loss: 0.2543	LR: 0.020000
Training Epoch: 26 [3584/46200]	Loss: 0.3163	LR: 0.020000
Training Epoch: 26 [3840/46200]	Loss: 0.4100	LR: 0.020000
Training Epoch: 26 [4096/46200]	Loss: 0.3051	LR: 0.020000
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Training Epoch: 26 [5888/46200]	Loss: 0.2936	LR: 0.020000
Training Epoch: 26 [6144/46200]	Loss: 0.3573	LR: 0.020000
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Training Epoch: 26 [7168/46200]	Loss: 0.3144	LR: 0.020000
Training Epoch: 26 [7424/46200]	Loss: 0.3385	LR: 0.020000
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Training Epoch: 26 [7936/46200]	Loss: 0.3612	LR: 0.020000
Training Epoch: 26 [8192/46200]	Loss: 0.3712	LR: 0.020000
Training Epoch: 26 [8448/46200]	Loss: 0.3776	LR: 0.020000
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Training Epoch: 26 [8960/46200]	Loss: 0.4100	LR: 0.020000
Training Epoch: 26 [9216/46200]	Loss: 0.3722	LR: 0.020000
Training Epoch: 26 [9472/46200]	Loss: 0.3143	LR: 0.020000
Training Epoch: 26 [9728/46200]	Loss: 0.3144	LR: 0.020000
Training Epoch: 26 [9984/46200]	Loss: 0.3383	LR: 0.020000
Training Epoch: 26 [10240/46200]	Loss: 0.3764	LR: 0.020000
Training Epoch: 26 [10496/46200]	Loss: 0.3721	LR: 0.020000
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Training Epoch: 26 [11008/46200]	Loss: 0.3477	LR: 0.020000
Training Epoch: 26 [11264/46200]	Loss: 0.2919	LR: 0.020000
Training Epoch: 26 [11520/46200]	Loss: 0.3804	LR: 0.020000
Training Epoch: 26 [11776/46200]	Loss: 0.2877	LR: 0.020000
Training Epoch: 26 [12032/46200]	Loss: 0.4631	LR: 0.020000
Training Epoch: 26 [12288/46200]	Loss: 0.3038	LR: 0.020000
Training Epoch: 26 [12544/46200]	Loss: 0.3487	LR: 0.020000
Training Epoch: 26 [12800/46200]	Loss: 0.2754	LR: 0.020000
Training Epoch: 26 [13056/46200]	Loss: 0.3476	LR: 0.020000
Training Epoch: 26 [13312/46200]	Loss: 0.3496	LR: 0.020000
Training Epoch: 26 [13568/46200]	Loss: 0.4121	LR: 0.020000
Training Epoch: 26 [13824/46200]	Loss: 0.3256	LR: 0.020000
Training Epoch: 26 [14080/46200]	Loss: 0.3637	LR: 0.020000
Training Epoch: 26 [14336/46200]	Loss: 0.3067	LR: 0.020000
Training Epoch: 26 [14592/46200]	Loss: 0.3807	LR: 0.020000
Training Epoch: 26 [14848/46200]	Loss: 0.4243	LR: 0.020000
Training Epoch: 26 [15104/46200]	Loss: 0.3514	LR: 0.020000
Training Epoch: 26 [15360/46200]	Loss: 0.3777	LR: 0.020000
Training Epoch: 26 [15616/46200]	Loss: 0.3428	LR: 0.020000
Training Epoch: 26 [15872/46200]	Loss: 0.3442	LR: 0.020000
Training Epoch: 26 [16128/46200]	Loss: 0.3415	LR: 0.020000
Training Epoch: 26 [16384/46200]	Loss: 0.3701	LR: 0.020000
Training Epoch: 26 [16640/46200]	Loss: 0.3667	LR: 0.020000
Training Epoch: 26 [16896/46200]	Loss: 0.4304	LR: 0.020000
Training Epoch: 26 [17152/46200]	Loss: 0.3680	LR: 0.020000
Training Epoch: 26 [17408/46200]	Loss: 0.3622	LR: 0.020000
Training Epoch: 26 [17664/46200]	Loss: 0.3859	LR: 0.020000
Training Epoch: 26 [17920/46200]	Loss: 0.3912	LR: 0.020000
Training Epoch: 26 [18176/46200]	Loss: 0.3426	LR: 0.020000
Training Epoch: 26 [18432/46200]	Loss: 0.4082	LR: 0.020000
Training Epoch: 26 [18688/46200]	Loss: 0.3434	LR: 0.020000
Training Epoch: 26 [18944/46200]	Loss: 0.3302	LR: 0.020000
Training Epoch: 26 [19200/46200]	Loss: 0.4370	LR: 0.020000
Training Epoch: 26 [19456/46200]	Loss: 0.3779	LR: 0.020000
Training Epoch: 26 [19712/46200]	Loss: 0.4712	LR: 0.020000
Training Epoch: 26 [19968/46200]	Loss: 0.4396	LR: 0.020000
Training Epoch: 26 [20224/46200]	Loss: 0.2882	LR: 0.020000
Training Epoch: 26 [20480/46200]	Loss: 0.3361	LR: 0.020000
Training Epoch: 26 [20736/46200]	Loss: 0.3609	LR: 0.020000
Training Epoch: 26 [20992/46200]	Loss: 0.3132	LR: 0.020000
Training Epoch: 26 [21248/46200]	Loss: 0.3974	LR: 0.020000
Training Epoch: 26 [21504/46200]	Loss: 0.4129	LR: 0.020000
Training Epoch: 26 [21760/46200]	Loss: 0.4786	LR: 0.020000
Training Epoch: 26 [22016/46200]	Loss: 0.4271	LR: 0.020000
Training Epoch: 26 [22272/46200]	Loss: 0.3379	LR: 0.020000
Training Epoch: 26 [22528/46200]	Loss: 0.4422	LR: 0.020000
Training Epoch: 26 [22784/46200]	Loss: 0.2896	LR: 0.020000
Training Epoch: 26 [23040/46200]	Loss: 0.3983	LR: 0.020000
Training Epoch: 26 [23296/46200]	Loss: 0.4711	LR: 0.020000
Training Epoch: 26 [23552/46200]	Loss: 0.3454	LR: 0.020000
Training Epoch: 26 [23808/46200]	Loss: 0.3335	LR: 0.020000
Training Epoch: 26 [24064/46200]	Loss: 0.3960	LR: 0.020000
Training Epoch: 26 [24320/46200]	Loss: 0.3842	LR: 0.020000
Training Epoch: 26 [24576/46200]	Loss: 0.3503	LR: 0.020000
Training Epoch: 26 [24832/46200]	Loss: 0.4605	LR: 0.020000
Training Epoch: 26 [25088/46200]	Loss: 0.3225	LR: 0.020000
Training Epoch: 26 [25344/46200]	Loss: 0.3460	LR: 0.020000
Training Epoch: 26 [25600/46200]	Loss: 0.3745	LR: 0.020000
Training Epoch: 26 [25856/46200]	Loss: 0.4170	LR: 0.020000
Training Epoch: 26 [26112/46200]	Loss: 0.3697	LR: 0.020000
Training Epoch: 26 [26368/46200]	Loss: 0.4406	LR: 0.020000
Training Epoch: 26 [26624/46200]	Loss: 0.3876	LR: 0.020000
Training Epoch: 26 [26880/46200]	Loss: 0.3668	LR: 0.020000
Training Epoch: 26 [27136/46200]	Loss: 0.3919	LR: 0.020000
Training Epoch: 26 [27392/46200]	Loss: 0.3386	LR: 0.020000
Training Epoch: 26 [27648/46200]	Loss: 0.3600	LR: 0.020000
Training Epoch: 26 [27904/46200]	Loss: 0.3598	LR: 0.020000
Training Epoch: 26 [28160/46200]	Loss: 0.3885	LR: 0.020000
Training Epoch: 26 [28416/46200]	Loss: 0.4834	LR: 0.020000
Training Epoch: 26 [28672/46200]	Loss: 0.4341	LR: 0.020000
Training Epoch: 26 [28928/46200]	Loss: 0.3657	LR: 0.020000
Training Epoch: 26 [29184/46200]	Loss: 0.3770	LR: 0.020000
Training Epoch: 26 [29440/46200]	Loss: 0.4008	LR: 0.020000
Training Epoch: 26 [29696/46200]	Loss: 0.3849	LR: 0.020000
Training Epoch: 26 [29952/46200]	Loss: 0.3400	LR: 0.020000
Training Epoch: 26 [30208/46200]	Loss: 0.5218	LR: 0.020000
Training Epoch: 26 [30464/46200]	Loss: 0.3241	LR: 0.020000
Training Epoch: 26 [30720/46200]	Loss: 0.3324	LR: 0.020000
Training Epoch: 26 [30976/46200]	Loss: 0.3842	LR: 0.020000
Training Epoch: 26 [31232/46200]	Loss: 0.4450	LR: 0.020000
Training Epoch: 26 [31488/46200]	Loss: 0.3839	LR: 0.020000
Training Epoch: 26 [31744/46200]	Loss: 0.3295	LR: 0.020000
Training Epoch: 26 [32000/46200]	Loss: 0.3131	LR: 0.020000
Training Epoch: 26 [32256/46200]	Loss: 0.3601	LR: 0.020000
Training Epoch: 26 [32512/46200]	Loss: 0.4335	LR: 0.020000
Training Epoch: 26 [32768/46200]	Loss: 0.4028	LR: 0.020000
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Training Epoch: 26 [33280/46200]	Loss: 0.4430	LR: 0.020000
Training Epoch: 26 [33536/46200]	Loss: 0.3698	LR: 0.020000
Training Epoch: 26 [33792/46200]	Loss: 0.3528	LR: 0.020000
Training Epoch: 26 [34048/46200]	Loss: 0.3999	LR: 0.020000
Training Epoch: 26 [34304/46200]	Loss: 0.4075	LR: 0.020000
Training Epoch: 26 [34560/46200]	Loss: 0.3588	LR: 0.020000
Training Epoch: 26 [34816/46200]	Loss: 0.3026	LR: 0.020000
Training Epoch: 26 [35072/46200]	Loss: 0.4882	LR: 0.020000
Training Epoch: 26 [35328/46200]	Loss: 0.4227	LR: 0.020000
Training Epoch: 26 [35584/46200]	Loss: 0.3732	LR: 0.020000
Training Epoch: 26 [35840/46200]	Loss: 0.4062	LR: 0.020000
Training Epoch: 26 [36096/46200]	Loss: 0.3560	LR: 0.020000
Training Epoch: 26 [36352/46200]	Loss: 0.3612	LR: 0.020000
Training Epoch: 26 [36608/46200]	Loss: 0.3441	LR: 0.020000
Training Epoch: 26 [36864/46200]	Loss: 0.3851	LR: 0.020000
Training Epoch: 26 [37120/46200]	Loss: 0.4360	LR: 0.020000
Training Epoch: 26 [37376/46200]	Loss: 0.4125	LR: 0.020000
Training Epoch: 26 [37632/46200]	Loss: 0.3842	LR: 0.020000
Training Epoch: 26 [37888/46200]	Loss: 0.3864	LR: 0.020000
Training Epoch: 26 [38144/46200]	Loss: 0.3568	LR: 0.020000
Training Epoch: 26 [38400/46200]	Loss: 0.4065	LR: 0.020000
Training Epoch: 26 [38656/46200]	Loss: 0.4550	LR: 0.020000
Training Epoch: 26 [38912/46200]	Loss: 0.5577	LR: 0.020000
Training Epoch: 26 [39168/46200]	Loss: 0.3946	LR: 0.020000
Training Epoch: 26 [39424/46200]	Loss: 0.3921	LR: 0.020000
Training Epoch: 26 [39680/46200]	Loss: 0.5055	LR: 0.020000
Training Epoch: 26 [39936/46200]	Loss: 0.3213	LR: 0.020000
Training Epoch: 26 [40192/46200]	Loss: 0.4348	LR: 0.020000
Training Epoch: 26 [40448/46200]	Loss: 0.4556	LR: 0.020000
Training Epoch: 26 [40704/46200]	Loss: 0.4247	LR: 0.020000
Training Epoch: 26 [40960/46200]	Loss: 0.3984	LR: 0.020000
Training Epoch: 26 [41216/46200]	Loss: 0.3539	LR: 0.020000
Training Epoch: 26 [41472/46200]	Loss: 0.3313	LR: 0.020000
Training Epoch: 26 [41728/46200]	Loss: 0.3941	LR: 0.020000
Training Epoch: 26 [41984/46200]	Loss: 0.3593	LR: 0.020000
Training Epoch: 26 [42240/46200]	Loss: 0.4078	LR: 0.020000
Training Epoch: 26 [42496/46200]	Loss: 0.3506	LR: 0.020000
Training Epoch: 26 [42752/46200]	Loss: 0.4205	LR: 0.020000
Training Epoch: 26 [43008/46200]	Loss: 0.3218	LR: 0.020000
Training Epoch: 26 [43264/46200]	Loss: 0.4114	LR: 0.020000
Training Epoch: 26 [43520/46200]	Loss: 0.4062	LR: 0.020000
Training Epoch: 26 [43776/46200]	Loss: 0.2855	LR: 0.020000
Training Epoch: 26 [44032/46200]	Loss: 0.4300	LR: 0.020000
Training Epoch: 26 [44288/46200]	Loss: 0.4026	LR: 0.020000
Training Epoch: 26 [44544/46200]	Loss: 0.4025	LR: 0.020000
Training Epoch: 26 [44800/46200]	Loss: 0.4981	LR: 0.020000
Training Epoch: 26 [45056/46200]	Loss: 0.4227	LR: 0.020000
Training Epoch: 26 [45312/46200]	Loss: 0.3945	LR: 0.020000
Training Epoch: 26 [45568/46200]	Loss: 0.4643	LR: 0.020000
Training Epoch: 26 [45824/46200]	Loss: 0.3711	LR: 0.020000
Training Epoch: 26 [46080/46200]	Loss: 0.3343	LR: 0.020000
Training Epoch: 26 [46200/46200]	Loss: 0.4895	LR: 0.020000
Epoch 26 - Average Train Loss: 0.3762, Train Accuracy: 0.8737
Epoch 26 training time consumed: 27.69s
Evaluating Network.....
Test set: Epoch: 26, Average loss: 0.0033, Accuracy: 0.7617, Time consumed:0.90s
Training Epoch: 27 [256/46200]	Loss: 0.3861	LR: 0.020000
Training Epoch: 27 [512/46200]	Loss: 0.3555	LR: 0.020000
Training Epoch: 27 [768/46200]	Loss: 0.3689	LR: 0.020000
Training Epoch: 27 [1024/46200]	Loss: 0.2774	LR: 0.020000
Training Epoch: 27 [1280/46200]	Loss: 0.3332	LR: 0.020000
Training Epoch: 27 [1536/46200]	Loss: 0.3779	LR: 0.020000
Training Epoch: 27 [1792/46200]	Loss: 0.3179	LR: 0.020000
Training Epoch: 27 [2048/46200]	Loss: 0.3104	LR: 0.020000
Training Epoch: 27 [2304/46200]	Loss: 0.3222	LR: 0.020000
Training Epoch: 27 [2560/46200]	Loss: 0.4124	LR: 0.020000
Training Epoch: 27 [2816/46200]	Loss: 0.2942	LR: 0.020000
Training Epoch: 27 [3072/46200]	Loss: 0.3670	LR: 0.020000
Training Epoch: 27 [3328/46200]	Loss: 0.3169	LR: 0.020000
Training Epoch: 27 [3584/46200]	Loss: 0.2785	LR: 0.020000
Training Epoch: 27 [3840/46200]	Loss: 0.3917	LR: 0.020000
Training Epoch: 27 [4096/46200]	Loss: 0.3813	LR: 0.020000
Training Epoch: 27 [4352/46200]	Loss: 0.3617	LR: 0.020000
Training Epoch: 27 [4608/46200]	Loss: 0.3472	LR: 0.020000
Training Epoch: 27 [4864/46200]	Loss: 0.3106	LR: 0.020000
Training Epoch: 27 [5120/46200]	Loss: 0.3549	LR: 0.020000
Training Epoch: 27 [5376/46200]	Loss: 0.3285	LR: 0.020000
Training Epoch: 27 [5632/46200]	Loss: 0.3309	LR: 0.020000
Training Epoch: 27 [5888/46200]	Loss: 0.2475	LR: 0.020000
Training Epoch: 27 [6144/46200]	Loss: 0.2822	LR: 0.020000
Training Epoch: 27 [6400/46200]	Loss: 0.3442	LR: 0.020000
Training Epoch: 27 [6656/46200]	Loss: 0.3649	LR: 0.020000
Training Epoch: 27 [6912/46200]	Loss: 0.5191	LR: 0.020000
Training Epoch: 27 [7168/46200]	Loss: 0.3275	LR: 0.020000
Training Epoch: 27 [7424/46200]	Loss: 0.3503	LR: 0.020000
Training Epoch: 27 [7680/46200]	Loss: 0.3513	LR: 0.020000
Training Epoch: 27 [7936/46200]	Loss: 0.3297	LR: 0.020000
Training Epoch: 27 [8192/46200]	Loss: 0.3682	LR: 0.020000
Training Epoch: 27 [8448/46200]	Loss: 0.3366	LR: 0.020000
Training Epoch: 27 [8704/46200]	Loss: 0.2665	LR: 0.020000
Training Epoch: 27 [8960/46200]	Loss: 0.3744	LR: 0.020000
Training Epoch: 27 [9216/46200]	Loss: 0.2654	LR: 0.020000
Training Epoch: 27 [9472/46200]	Loss: 0.4340	LR: 0.020000
Training Epoch: 27 [9728/46200]	Loss: 0.4109	LR: 0.020000
Training Epoch: 27 [9984/46200]	Loss: 0.2534	LR: 0.020000
Training Epoch: 27 [10240/46200]	Loss: 0.3093	LR: 0.020000
Training Epoch: 27 [10496/46200]	Loss: 0.3354	LR: 0.020000
Training Epoch: 27 [10752/46200]	Loss: 0.3961	LR: 0.020000
Training Epoch: 27 [11008/46200]	Loss: 0.3583	LR: 0.020000
Training Epoch: 27 [11264/46200]	Loss: 0.2801	LR: 0.020000
Training Epoch: 27 [11520/46200]	Loss: 0.3909	LR: 0.020000
Training Epoch: 27 [11776/46200]	Loss: 0.3148	LR: 0.020000
Training Epoch: 27 [12032/46200]	Loss: 0.3879	LR: 0.020000
Training Epoch: 27 [12288/46200]	Loss: 0.3308	LR: 0.020000
Training Epoch: 27 [12544/46200]	Loss: 0.3869	LR: 0.020000
Training Epoch: 27 [12800/46200]	Loss: 0.3846	LR: 0.020000
Training Epoch: 27 [13056/46200]	Loss: 0.3445	LR: 0.020000
Training Epoch: 27 [13312/46200]	Loss: 0.2637	LR: 0.020000
Training Epoch: 27 [13568/46200]	Loss: 0.4151	LR: 0.020000
Training Epoch: 27 [13824/46200]	Loss: 0.3344	LR: 0.020000
Training Epoch: 27 [14080/46200]	Loss: 0.3972	LR: 0.020000
Training Epoch: 27 [14336/46200]	Loss: 0.3167	LR: 0.020000
Training Epoch: 27 [14592/46200]	Loss: 0.3778	LR: 0.020000
Training Epoch: 27 [14848/46200]	Loss: 0.3820	LR: 0.020000
Training Epoch: 27 [15104/46200]	Loss: 0.2944	LR: 0.020000
Training Epoch: 27 [15360/46200]	Loss: 0.3181	LR: 0.020000
Training Epoch: 27 [15616/46200]	Loss: 0.3430	LR: 0.020000
Training Epoch: 27 [15872/46200]	Loss: 0.4047	LR: 0.020000
Training Epoch: 27 [16128/46200]	Loss: 0.4088	LR: 0.020000
Training Epoch: 27 [16384/46200]	Loss: 0.2901	LR: 0.020000
Training Epoch: 27 [16640/46200]	Loss: 0.3292	LR: 0.020000
Training Epoch: 27 [16896/46200]	Loss: 0.4078	LR: 0.020000
Training Epoch: 27 [17152/46200]	Loss: 0.2997	LR: 0.020000
Training Epoch: 27 [17408/46200]	Loss: 0.3601	LR: 0.020000
Training Epoch: 27 [17664/46200]	Loss: 0.2944	LR: 0.020000
Training Epoch: 27 [17920/46200]	Loss: 0.3221	LR: 0.020000
Training Epoch: 27 [18176/46200]	Loss: 0.3162	LR: 0.020000
Training Epoch: 27 [18432/46200]	Loss: 0.3008	LR: 0.020000
Training Epoch: 27 [18688/46200]	Loss: 0.2746	LR: 0.020000
Training Epoch: 27 [18944/46200]	Loss: 0.3381	LR: 0.020000
Training Epoch: 27 [19200/46200]	Loss: 0.3545	LR: 0.020000
Training Epoch: 27 [19456/46200]	Loss: 0.3746	LR: 0.020000
Training Epoch: 27 [19712/46200]	Loss: 0.3713	LR: 0.020000
Training Epoch: 27 [19968/46200]	Loss: 0.3642	LR: 0.020000
Training Epoch: 27 [20224/46200]	Loss: 0.2888	LR: 0.020000
Training Epoch: 27 [20480/46200]	Loss: 0.4955	LR: 0.020000
Training Epoch: 27 [20736/46200]	Loss: 0.3804	LR: 0.020000
Training Epoch: 27 [20992/46200]	Loss: 0.3281	LR: 0.020000
Training Epoch: 27 [21248/46200]	Loss: 0.3496	LR: 0.020000
Training Epoch: 27 [21504/46200]	Loss: 0.3752	LR: 0.020000
Training Epoch: 27 [21760/46200]	Loss: 0.3207	LR: 0.020000
Training Epoch: 27 [22016/46200]	Loss: 0.4273	LR: 0.020000
Training Epoch: 27 [22272/46200]	Loss: 0.3666	LR: 0.020000
Training Epoch: 27 [22528/46200]	Loss: 0.3747	LR: 0.020000
Training Epoch: 27 [22784/46200]	Loss: 0.3614	LR: 0.020000
Training Epoch: 27 [23040/46200]	Loss: 0.3781	LR: 0.020000
Training Epoch: 27 [23296/46200]	Loss: 0.3737	LR: 0.020000
Training Epoch: 27 [23552/46200]	Loss: 0.3701	LR: 0.020000
Training Epoch: 27 [23808/46200]	Loss: 0.3608	LR: 0.020000
Training Epoch: 27 [24064/46200]	Loss: 0.3779	LR: 0.020000
Training Epoch: 27 [24320/46200]	Loss: 0.3162	LR: 0.020000
Training Epoch: 27 [24576/46200]	Loss: 0.3436	LR: 0.020000
Training Epoch: 27 [24832/46200]	Loss: 0.3824	LR: 0.020000
Training Epoch: 27 [25088/46200]	Loss: 0.4358	LR: 0.020000
Training Epoch: 27 [25344/46200]	Loss: 0.3103	LR: 0.020000
Training Epoch: 27 [25600/46200]	Loss: 0.3980	LR: 0.020000
Training Epoch: 27 [25856/46200]	Loss: 0.3491	LR: 0.020000
Training Epoch: 27 [26112/46200]	Loss: 0.2834	LR: 0.020000
Training Epoch: 27 [26368/46200]	Loss: 0.3257	LR: 0.020000
Training Epoch: 27 [26624/46200]	Loss: 0.3475	LR: 0.020000
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Training Epoch: 27 [27136/46200]	Loss: 0.3085	LR: 0.020000
Training Epoch: 27 [27392/46200]	Loss: 0.3770	LR: 0.020000
Training Epoch: 27 [27648/46200]	Loss: 0.4736	LR: 0.020000
Training Epoch: 27 [27904/46200]	Loss: 0.3275	LR: 0.020000
Training Epoch: 27 [28160/46200]	Loss: 0.3713	LR: 0.020000
Training Epoch: 27 [28416/46200]	Loss: 0.3455	LR: 0.020000
Training Epoch: 27 [28672/46200]	Loss: 0.4164	LR: 0.020000
Training Epoch: 27 [28928/46200]	Loss: 0.4708	LR: 0.020000
Training Epoch: 27 [29184/46200]	Loss: 0.3228	LR: 0.020000
Training Epoch: 27 [29440/46200]	Loss: 0.4251	LR: 0.020000
Training Epoch: 27 [29696/46200]	Loss: 0.4386	LR: 0.020000
Training Epoch: 27 [29952/46200]	Loss: 0.4233	LR: 0.020000
Training Epoch: 27 [30208/46200]	Loss: 0.3024	LR: 0.020000
Training Epoch: 27 [30464/46200]	Loss: 0.3653	LR: 0.020000
Training Epoch: 27 [30720/46200]	Loss: 0.3486	LR: 0.020000
Training Epoch: 27 [30976/46200]	Loss: 0.3284	LR: 0.020000
Training Epoch: 27 [31232/46200]	Loss: 0.3853	LR: 0.020000
Training Epoch: 27 [31488/46200]	Loss: 0.3775	LR: 0.020000
Training Epoch: 27 [31744/46200]	Loss: 0.3095	LR: 0.020000
Training Epoch: 27 [32000/46200]	Loss: 0.4148	LR: 0.020000
Training Epoch: 27 [32256/46200]	Loss: 0.4735	LR: 0.020000
Training Epoch: 27 [32512/46200]	Loss: 0.3647	LR: 0.020000
Training Epoch: 27 [32768/46200]	Loss: 0.3869	LR: 0.020000
Training Epoch: 27 [33024/46200]	Loss: 0.3613	LR: 0.020000
Training Epoch: 27 [33280/46200]	Loss: 0.4671	LR: 0.020000
Training Epoch: 27 [33536/46200]	Loss: 0.4128	LR: 0.020000
Training Epoch: 27 [33792/46200]	Loss: 0.3391	LR: 0.020000
Training Epoch: 27 [34048/46200]	Loss: 0.3603	LR: 0.020000
Training Epoch: 27 [34304/46200]	Loss: 0.4058	LR: 0.020000
Training Epoch: 27 [34560/46200]	Loss: 0.3311	LR: 0.020000
Training Epoch: 27 [34816/46200]	Loss: 0.3409	LR: 0.020000
Training Epoch: 27 [35072/46200]	Loss: 0.3470	LR: 0.020000
Training Epoch: 27 [35328/46200]	Loss: 0.3442	LR: 0.020000
Training Epoch: 27 [35584/46200]	Loss: 0.3207	LR: 0.020000
Training Epoch: 27 [35840/46200]	Loss: 0.3456	LR: 0.020000
Training Epoch: 27 [36096/46200]	Loss: 0.3557	LR: 0.020000
Training Epoch: 27 [36352/46200]	Loss: 0.3179	LR: 0.020000
Training Epoch: 27 [36608/46200]	Loss: 0.4233	LR: 0.020000
Training Epoch: 27 [36864/46200]	Loss: 0.3273	LR: 0.020000
Training Epoch: 27 [37120/46200]	Loss: 0.4038	LR: 0.020000
Training Epoch: 27 [37376/46200]	Loss: 0.3751	LR: 0.020000
Training Epoch: 27 [37632/46200]	Loss: 0.3436	LR: 0.020000
Training Epoch: 27 [37888/46200]	Loss: 0.3333	LR: 0.020000
Training Epoch: 27 [38144/46200]	Loss: 0.4177	LR: 0.020000
Training Epoch: 27 [38400/46200]	Loss: 0.3566	LR: 0.020000
Training Epoch: 27 [38656/46200]	Loss: 0.3012	LR: 0.020000
Training Epoch: 27 [38912/46200]	Loss: 0.3725	LR: 0.020000
Training Epoch: 27 [39168/46200]	Loss: 0.3027	LR: 0.020000
Training Epoch: 27 [39424/46200]	Loss: 0.3572	LR: 0.020000
Training Epoch: 27 [39680/46200]	Loss: 0.3388	LR: 0.020000
Training Epoch: 27 [39936/46200]	Loss: 0.4563	LR: 0.020000
Training Epoch: 27 [40192/46200]	Loss: 0.3080	LR: 0.020000
Training Epoch: 27 [40448/46200]	Loss: 0.4111	LR: 0.020000
Training Epoch: 27 [40704/46200]	Loss: 0.3583	LR: 0.020000
Training Epoch: 27 [40960/46200]	Loss: 0.3372	LR: 0.020000
Training Epoch: 27 [41216/46200]	Loss: 0.3685	LR: 0.020000
Training Epoch: 27 [41472/46200]	Loss: 0.4076	LR: 0.020000
Training Epoch: 27 [41728/46200]	Loss: 0.4132	LR: 0.020000
Training Epoch: 27 [41984/46200]	Loss: 0.2539	LR: 0.020000
Training Epoch: 27 [42240/46200]	Loss: 0.3797	LR: 0.020000
Training Epoch: 27 [42496/46200]	Loss: 0.3743	LR: 0.020000
Training Epoch: 27 [42752/46200]	Loss: 0.3415	LR: 0.020000
Training Epoch: 27 [43008/46200]	Loss: 0.4227	LR: 0.020000
Training Epoch: 27 [43264/46200]	Loss: 0.4403	LR: 0.020000
Training Epoch: 27 [43520/46200]	Loss: 0.3967	LR: 0.020000
Training Epoch: 27 [43776/46200]	Loss: 0.3553	LR: 0.020000
Training Epoch: 27 [44032/46200]	Loss: 0.3841	LR: 0.020000
Training Epoch: 27 [44288/46200]	Loss: 0.3326	LR: 0.020000
Training Epoch: 27 [44544/46200]	Loss: 0.3173	LR: 0.020000
Training Epoch: 27 [44800/46200]	Loss: 0.2665	LR: 0.020000
Training Epoch: 27 [45056/46200]	Loss: 0.3812	LR: 0.020000
Training Epoch: 27 [45312/46200]	Loss: 0.4088	LR: 0.020000
Training Epoch: 27 [45568/46200]	Loss: 0.3500	LR: 0.020000
Training Epoch: 27 [45824/46200]	Loss: 0.3124	LR: 0.020000
Training Epoch: 27 [46080/46200]	Loss: 0.4407	LR: 0.020000
Training Epoch: 27 [46200/46200]	Loss: 0.4478	LR: 0.020000
Epoch 27 - Average Train Loss: 0.3573, Train Accuracy: 0.8796
Epoch 27 training time consumed: 27.53s
Evaluating Network.....
Test set: Epoch: 27, Average loss: 0.0032, Accuracy: 0.7663, Time consumed:0.89s
Training Epoch: 28 [256/46200]	Loss: 0.3150	LR: 0.020000
Training Epoch: 28 [512/46200]	Loss: 0.3727	LR: 0.020000
Training Epoch: 28 [768/46200]	Loss: 0.3002	LR: 0.020000
Training Epoch: 28 [1024/46200]	Loss: 0.3184	LR: 0.020000
Training Epoch: 28 [1280/46200]	Loss: 0.2995	LR: 0.020000
Training Epoch: 28 [1536/46200]	Loss: 0.3414	LR: 0.020000
Training Epoch: 28 [1792/46200]	Loss: 0.4107	LR: 0.020000
Training Epoch: 28 [2048/46200]	Loss: 0.2622	LR: 0.020000
Training Epoch: 28 [2304/46200]	Loss: 0.3519	LR: 0.020000
Training Epoch: 28 [2560/46200]	Loss: 0.2726	LR: 0.020000
Training Epoch: 28 [2816/46200]	Loss: 0.3394	LR: 0.020000
Training Epoch: 28 [3072/46200]	Loss: 0.3693	LR: 0.020000
Training Epoch: 28 [3328/46200]	Loss: 0.3574	LR: 0.020000
Training Epoch: 28 [3584/46200]	Loss: 0.3338	LR: 0.020000
Training Epoch: 28 [3840/46200]	Loss: 0.2860	LR: 0.020000
Training Epoch: 28 [4096/46200]	Loss: 0.2733	LR: 0.020000
Training Epoch: 28 [4352/46200]	Loss: 0.3589	LR: 0.020000
Training Epoch: 28 [4608/46200]	Loss: 0.2520	LR: 0.020000
Training Epoch: 28 [4864/46200]	Loss: 0.3427	LR: 0.020000
Training Epoch: 28 [5120/46200]	Loss: 0.3768	LR: 0.020000
Training Epoch: 28 [5376/46200]	Loss: 0.3819	LR: 0.020000
Training Epoch: 28 [5632/46200]	Loss: 0.3155	LR: 0.020000
Training Epoch: 28 [5888/46200]	Loss: 0.2671	LR: 0.020000
Training Epoch: 28 [6144/46200]	Loss: 0.2737	LR: 0.020000
Training Epoch: 28 [6400/46200]	Loss: 0.3170	LR: 0.020000
Training Epoch: 28 [6656/46200]	Loss: 0.2500	LR: 0.020000
Training Epoch: 28 [6912/46200]	Loss: 0.2915	LR: 0.020000
Training Epoch: 28 [7168/46200]	Loss: 0.3170	LR: 0.020000
Training Epoch: 28 [7424/46200]	Loss: 0.3350	LR: 0.020000
Training Epoch: 28 [7680/46200]	Loss: 0.3652	LR: 0.020000
Training Epoch: 28 [7936/46200]	Loss: 0.2990	LR: 0.020000
Training Epoch: 28 [8192/46200]	Loss: 0.3549	LR: 0.020000
Training Epoch: 28 [8448/46200]	Loss: 0.3465	LR: 0.020000
Training Epoch: 28 [8704/46200]	Loss: 0.3104	LR: 0.020000
Training Epoch: 28 [8960/46200]	Loss: 0.3196	LR: 0.020000
Training Epoch: 28 [9216/46200]	Loss: 0.3506	LR: 0.020000
Training Epoch: 28 [9472/46200]	Loss: 0.2983	LR: 0.020000
Training Epoch: 28 [9728/46200]	Loss: 0.3255	LR: 0.020000
Training Epoch: 28 [9984/46200]	Loss: 0.3757	LR: 0.020000
Training Epoch: 28 [10240/46200]	Loss: 0.3595	LR: 0.020000
Training Epoch: 28 [10496/46200]	Loss: 0.3285	LR: 0.020000
Training Epoch: 28 [10752/46200]	Loss: 0.3025	LR: 0.020000
Training Epoch: 28 [11008/46200]	Loss: 0.3076	LR: 0.020000
Training Epoch: 28 [11264/46200]	Loss: 0.2942	LR: 0.020000
Training Epoch: 28 [11520/46200]	Loss: 0.3939	LR: 0.020000
Training Epoch: 28 [11776/46200]	Loss: 0.3346	LR: 0.020000
Training Epoch: 28 [12032/46200]	Loss: 0.3790	LR: 0.020000
Training Epoch: 28 [12288/46200]	Loss: 0.3183	LR: 0.020000
Training Epoch: 28 [12544/46200]	Loss: 0.3868	LR: 0.020000
Training Epoch: 28 [12800/46200]	Loss: 0.4515	LR: 0.020000
Training Epoch: 28 [13056/46200]	Loss: 0.3140	LR: 0.020000
Training Epoch: 28 [13312/46200]	Loss: 0.3123	LR: 0.020000
Training Epoch: 28 [13568/46200]	Loss: 0.3557	LR: 0.020000
Training Epoch: 28 [13824/46200]	Loss: 0.2963	LR: 0.020000
Training Epoch: 28 [14080/46200]	Loss: 0.2744	LR: 0.020000
Training Epoch: 28 [14336/46200]	Loss: 0.2938	LR: 0.020000
Training Epoch: 28 [14592/46200]	Loss: 0.2302	LR: 0.020000
Training Epoch: 28 [14848/46200]	Loss: 0.2445	LR: 0.020000
Training Epoch: 28 [15104/46200]	Loss: 0.3815	LR: 0.020000
Training Epoch: 28 [15360/46200]	Loss: 0.3812	LR: 0.020000
Training Epoch: 28 [15616/46200]	Loss: 0.2359	LR: 0.020000
Training Epoch: 28 [15872/46200]	Loss: 0.2853	LR: 0.020000
Training Epoch: 28 [16128/46200]	Loss: 0.3854	LR: 0.020000
Training Epoch: 28 [16384/46200]	Loss: 0.3579	LR: 0.020000
Training Epoch: 28 [16640/46200]	Loss: 0.3699	LR: 0.020000
Training Epoch: 28 [16896/46200]	Loss: 0.4021	LR: 0.020000
Training Epoch: 28 [17152/46200]	Loss: 0.3848	LR: 0.020000
Training Epoch: 28 [17408/46200]	Loss: 0.2925	LR: 0.020000
Training Epoch: 28 [17664/46200]	Loss: 0.3224	LR: 0.020000
Training Epoch: 28 [17920/46200]	Loss: 0.2644	LR: 0.020000
Training Epoch: 28 [18176/46200]	Loss: 0.3979	LR: 0.020000
Training Epoch: 28 [18432/46200]	Loss: 0.3458	LR: 0.020000
Training Epoch: 28 [18688/46200]	Loss: 0.2938	LR: 0.020000
Training Epoch: 28 [18944/46200]	Loss: 0.3012	LR: 0.020000
Training Epoch: 28 [19200/46200]	Loss: 0.2989	LR: 0.020000
Training Epoch: 28 [19456/46200]	Loss: 0.2823	LR: 0.020000
Training Epoch: 28 [19712/46200]	Loss: 0.3735	LR: 0.020000
Training Epoch: 28 [19968/46200]	Loss: 0.3969	LR: 0.020000
Training Epoch: 28 [20224/46200]	Loss: 0.3162	LR: 0.020000
Training Epoch: 28 [20480/46200]	Loss: 0.3797	LR: 0.020000
Training Epoch: 28 [20736/46200]	Loss: 0.2914	LR: 0.020000
Training Epoch: 28 [20992/46200]	Loss: 0.4444	LR: 0.020000
Training Epoch: 28 [21248/46200]	Loss: 0.3005	LR: 0.020000
Training Epoch: 28 [21504/46200]	Loss: 0.3121	LR: 0.020000
Training Epoch: 28 [21760/46200]	Loss: 0.3156	LR: 0.020000
Training Epoch: 28 [22016/46200]	Loss: 0.3661	LR: 0.020000
Training Epoch: 28 [22272/46200]	Loss: 0.2677	LR: 0.020000
Training Epoch: 28 [22528/46200]	Loss: 0.3846	LR: 0.020000
Training Epoch: 28 [22784/46200]	Loss: 0.3756	LR: 0.020000
Training Epoch: 28 [23040/46200]	Loss: 0.3384	LR: 0.020000
Training Epoch: 28 [23296/46200]	Loss: 0.3817	LR: 0.020000
Training Epoch: 28 [23552/46200]	Loss: 0.3664	LR: 0.020000
Training Epoch: 28 [23808/46200]	Loss: 0.3395	LR: 0.020000
Training Epoch: 28 [24064/46200]	Loss: 0.3573	LR: 0.020000
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Training Epoch: 28 [24832/46200]	Loss: 0.3100	LR: 0.020000
Training Epoch: 28 [25088/46200]	Loss: 0.3282	LR: 0.020000
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Training Epoch: 28 [25600/46200]	Loss: 0.3586	LR: 0.020000
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Training Epoch: 28 [26112/46200]	Loss: 0.3392	LR: 0.020000
Training Epoch: 28 [26368/46200]	Loss: 0.3812	LR: 0.020000
Training Epoch: 28 [26624/46200]	Loss: 0.5823	LR: 0.020000
Training Epoch: 28 [26880/46200]	Loss: 0.2794	LR: 0.020000
Training Epoch: 28 [27136/46200]	Loss: 0.4197	LR: 0.020000
Training Epoch: 28 [27392/46200]	Loss: 0.3121	LR: 0.020000
Training Epoch: 28 [27648/46200]	Loss: 0.2951	LR: 0.020000
Training Epoch: 28 [27904/46200]	Loss: 0.4397	LR: 0.020000
Training Epoch: 28 [28160/46200]	Loss: 0.5014	LR: 0.020000
Training Epoch: 28 [28416/46200]	Loss: 0.3268	LR: 0.020000
Training Epoch: 28 [28672/46200]	Loss: 0.3474	LR: 0.020000
Training Epoch: 28 [28928/46200]	Loss: 0.3516	LR: 0.020000
Training Epoch: 28 [29184/46200]	Loss: 0.3258	LR: 0.020000
Training Epoch: 28 [29440/46200]	Loss: 0.4080	LR: 0.020000
Training Epoch: 28 [29696/46200]	Loss: 0.3985	LR: 0.020000
Training Epoch: 28 [29952/46200]	Loss: 0.3347	LR: 0.020000
Training Epoch: 28 [30208/46200]	Loss: 0.4139	LR: 0.020000
Training Epoch: 28 [30464/46200]	Loss: 0.4215	LR: 0.020000
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Training Epoch: 28 [30976/46200]	Loss: 0.4217	LR: 0.020000
Training Epoch: 28 [31232/46200]	Loss: 0.3100	LR: 0.020000
Training Epoch: 28 [31488/46200]	Loss: 0.4122	LR: 0.020000
Training Epoch: 28 [31744/46200]	Loss: 0.4320	LR: 0.020000
Training Epoch: 28 [32000/46200]	Loss: 0.4274	LR: 0.020000
Training Epoch: 28 [32256/46200]	Loss: 0.3435	LR: 0.020000
Training Epoch: 28 [32512/46200]	Loss: 0.3368	LR: 0.020000
Training Epoch: 28 [32768/46200]	Loss: 0.4480	LR: 0.020000
Training Epoch: 28 [33024/46200]	Loss: 0.3851	LR: 0.020000
Training Epoch: 28 [33280/46200]	Loss: 0.3497	LR: 0.020000
Training Epoch: 28 [33536/46200]	Loss: 0.3854	LR: 0.020000
Training Epoch: 28 [33792/46200]	Loss: 0.3276	LR: 0.020000
Training Epoch: 28 [34048/46200]	Loss: 0.2882	LR: 0.020000
Training Epoch: 28 [34304/46200]	Loss: 0.3910	LR: 0.020000
Training Epoch: 28 [34560/46200]	Loss: 0.3586	LR: 0.020000
Training Epoch: 28 [34816/46200]	Loss: 0.4323	LR: 0.020000
Training Epoch: 28 [35072/46200]	Loss: 0.4467	LR: 0.020000
Training Epoch: 28 [35328/46200]	Loss: 0.3751	LR: 0.020000
Training Epoch: 28 [35584/46200]	Loss: 0.4022	LR: 0.020000
Training Epoch: 28 [35840/46200]	Loss: 0.2852	LR: 0.020000
Training Epoch: 28 [36096/46200]	Loss: 0.3941	LR: 0.020000
Training Epoch: 28 [36352/46200]	Loss: 0.3312	LR: 0.020000
Training Epoch: 28 [36608/46200]	Loss: 0.3562	LR: 0.020000
Training Epoch: 28 [36864/46200]	Loss: 0.3559	LR: 0.020000
Training Epoch: 28 [37120/46200]	Loss: 0.4382	LR: 0.020000
Training Epoch: 28 [37376/46200]	Loss: 0.4773	LR: 0.020000
Training Epoch: 28 [37632/46200]	Loss: 0.3050	LR: 0.020000
Training Epoch: 28 [37888/46200]	Loss: 0.3522	LR: 0.020000
Training Epoch: 28 [38144/46200]	Loss: 0.4561	LR: 0.020000
Training Epoch: 28 [38400/46200]	Loss: 0.3900	LR: 0.020000
Training Epoch: 28 [38656/46200]	Loss: 0.4569	LR: 0.020000
Training Epoch: 28 [38912/46200]	Loss: 0.4305	LR: 0.020000
Training Epoch: 28 [39168/46200]	Loss: 0.5219	LR: 0.020000
Training Epoch: 28 [39424/46200]	Loss: 0.4439	LR: 0.020000
Training Epoch: 28 [39680/46200]	Loss: 0.4812	LR: 0.020000
Training Epoch: 28 [39936/46200]	Loss: 0.2973	LR: 0.020000
Training Epoch: 28 [40192/46200]	Loss: 0.3222	LR: 0.020000
Training Epoch: 28 [40448/46200]	Loss: 0.3645	LR: 0.020000
Training Epoch: 28 [40704/46200]	Loss: 0.4095	LR: 0.020000
Training Epoch: 28 [40960/46200]	Loss: 0.4216	LR: 0.020000
Training Epoch: 28 [41216/46200]	Loss: 0.3005	LR: 0.020000
Training Epoch: 28 [41472/46200]	Loss: 0.3649	LR: 0.020000
Training Epoch: 28 [41728/46200]	Loss: 0.4352	LR: 0.020000
Training Epoch: 28 [41984/46200]	Loss: 0.2989	LR: 0.020000
Training Epoch: 28 [42240/46200]	Loss: 0.3965	LR: 0.020000
Training Epoch: 28 [42496/46200]	Loss: 0.3524	LR: 0.020000
Training Epoch: 28 [42752/46200]	Loss: 0.2971	LR: 0.020000
Training Epoch: 28 [43008/46200]	Loss: 0.3843	LR: 0.020000
Training Epoch: 28 [43264/46200]	Loss: 0.3680	LR: 0.020000
Training Epoch: 28 [43520/46200]	Loss: 0.3424	LR: 0.020000
Training Epoch: 28 [43776/46200]	Loss: 0.4554	LR: 0.020000
Training Epoch: 28 [44032/46200]	Loss: 0.4467	LR: 0.020000
Training Epoch: 28 [44288/46200]	Loss: 0.4309	LR: 0.020000
Training Epoch: 28 [44544/46200]	Loss: 0.3862	LR: 0.020000
Training Epoch: 28 [44800/46200]	Loss: 0.3729	LR: 0.020000
Training Epoch: 28 [45056/46200]	Loss: 0.4293	LR: 0.020000
Training Epoch: 28 [45312/46200]	Loss: 0.3648	LR: 0.020000
Training Epoch: 28 [45568/46200]	Loss: 0.3318	LR: 0.020000
Training Epoch: 28 [45824/46200]	Loss: 0.4630	LR: 0.020000
Training Epoch: 28 [46080/46200]	Loss: 0.4060	LR: 0.020000
Training Epoch: 28 [46200/46200]	Loss: 0.3585	LR: 0.020000
Epoch 28 - Average Train Loss: 0.3563, Train Accuracy: 0.8799
Epoch 28 training time consumed: 27.65s
Evaluating Network.....
Test set: Epoch: 28, Average loss: 0.0033, Accuracy: 0.7674, Time consumed:0.89s
Training Epoch: 29 [256/46200]	Loss: 0.2521	LR: 0.020000
Training Epoch: 29 [512/46200]	Loss: 0.2785	LR: 0.020000
Training Epoch: 29 [768/46200]	Loss: 0.3358	LR: 0.020000
Training Epoch: 29 [1024/46200]	Loss: 0.3311	LR: 0.020000
Training Epoch: 29 [1280/46200]	Loss: 0.3474	LR: 0.020000
Training Epoch: 29 [1536/46200]	Loss: 0.4015	LR: 0.020000
Training Epoch: 29 [1792/46200]	Loss: 0.3627	LR: 0.020000
Training Epoch: 29 [2048/46200]	Loss: 0.3233	LR: 0.020000
Training Epoch: 29 [2304/46200]	Loss: 0.3830	LR: 0.020000
Training Epoch: 29 [2560/46200]	Loss: 0.4450	LR: 0.020000
Training Epoch: 29 [2816/46200]	Loss: 0.3212	LR: 0.020000
Training Epoch: 29 [3072/46200]	Loss: 0.3139	LR: 0.020000
Training Epoch: 29 [3328/46200]	Loss: 0.3957	LR: 0.020000
Training Epoch: 29 [3584/46200]	Loss: 0.4237	LR: 0.020000
Training Epoch: 29 [3840/46200]	Loss: 0.3107	LR: 0.020000
Training Epoch: 29 [4096/46200]	Loss: 0.2681	LR: 0.020000
Training Epoch: 29 [4352/46200]	Loss: 0.3234	LR: 0.020000
Training Epoch: 29 [4608/46200]	Loss: 0.3258	LR: 0.020000
Training Epoch: 29 [4864/46200]	Loss: 0.2931	LR: 0.020000
Training Epoch: 29 [5120/46200]	Loss: 0.3299	LR: 0.020000
Training Epoch: 29 [5376/46200]	Loss: 0.2974	LR: 0.020000
Training Epoch: 29 [5632/46200]	Loss: 0.3674	LR: 0.020000
Training Epoch: 29 [5888/46200]	Loss: 0.3125	LR: 0.020000
Training Epoch: 29 [6144/46200]	Loss: 0.2891	LR: 0.020000
Training Epoch: 29 [6400/46200]	Loss: 0.3102	LR: 0.020000
Training Epoch: 29 [6656/46200]	Loss: 0.3228	LR: 0.020000
Training Epoch: 29 [6912/46200]	Loss: 0.3439	LR: 0.020000
Training Epoch: 29 [7168/46200]	Loss: 0.3350	LR: 0.020000
Training Epoch: 29 [7424/46200]	Loss: 0.3160	LR: 0.020000
Training Epoch: 29 [7680/46200]	Loss: 0.3181	LR: 0.020000
Training Epoch: 29 [7936/46200]	Loss: 0.3399	LR: 0.020000
Training Epoch: 29 [8192/46200]	Loss: 0.3500	LR: 0.020000
Training Epoch: 29 [8448/46200]	Loss: 0.3071	LR: 0.020000
Training Epoch: 29 [8704/46200]	Loss: 0.2365	LR: 0.020000
Training Epoch: 29 [8960/46200]	Loss: 0.2318	LR: 0.020000
Training Epoch: 29 [9216/46200]	Loss: 0.3282	LR: 0.020000
Training Epoch: 29 [9472/46200]	Loss: 0.2888	LR: 0.020000
Training Epoch: 29 [9728/46200]	Loss: 0.3096	LR: 0.020000
Training Epoch: 29 [9984/46200]	Loss: 0.2639	LR: 0.020000
Training Epoch: 29 [10240/46200]	Loss: 0.4067	LR: 0.020000
Training Epoch: 29 [10496/46200]	Loss: 0.3125	LR: 0.020000
Training Epoch: 29 [10752/46200]	Loss: 0.4276	LR: 0.020000
Training Epoch: 29 [11008/46200]	Loss: 0.3424	LR: 0.020000
Training Epoch: 29 [11264/46200]	Loss: 0.3019	LR: 0.020000
Training Epoch: 29 [11520/46200]	Loss: 0.2846	LR: 0.020000
Training Epoch: 29 [11776/46200]	Loss: 0.4156	LR: 0.020000
Training Epoch: 29 [12032/46200]	Loss: 0.3291	LR: 0.020000
Training Epoch: 29 [12288/46200]	Loss: 0.2861	LR: 0.020000
Training Epoch: 29 [12544/46200]	Loss: 0.3731	LR: 0.020000
Training Epoch: 29 [12800/46200]	Loss: 0.4044	LR: 0.020000
Training Epoch: 29 [13056/46200]	Loss: 0.3573	LR: 0.020000
Training Epoch: 29 [13312/46200]	Loss: 0.3572	LR: 0.020000
Training Epoch: 29 [13568/46200]	Loss: 0.2771	LR: 0.020000
Training Epoch: 29 [13824/46200]	Loss: 0.3506	LR: 0.020000
Training Epoch: 29 [14080/46200]	Loss: 0.3266	LR: 0.020000
Training Epoch: 29 [14336/46200]	Loss: 0.4133	LR: 0.020000
Training Epoch: 29 [14592/46200]	Loss: 0.2567	LR: 0.020000
Training Epoch: 29 [14848/46200]	Loss: 0.3518	LR: 0.020000
Training Epoch: 29 [15104/46200]	Loss: 0.4167	LR: 0.020000
Training Epoch: 29 [15360/46200]	Loss: 0.3766	LR: 0.020000
Training Epoch: 29 [15616/46200]	Loss: 0.3262	LR: 0.020000
Training Epoch: 29 [15872/46200]	Loss: 0.3917	LR: 0.020000
Training Epoch: 29 [16128/46200]	Loss: 0.2695	LR: 0.020000
Training Epoch: 29 [16384/46200]	Loss: 0.3703	LR: 0.020000
Training Epoch: 29 [16640/46200]	Loss: 0.3022	LR: 0.020000
Training Epoch: 29 [16896/46200]	Loss: 0.3192	LR: 0.020000
Training Epoch: 29 [17152/46200]	Loss: 0.2257	LR: 0.020000
Training Epoch: 29 [17408/46200]	Loss: 0.3660	LR: 0.020000
Training Epoch: 29 [17664/46200]	Loss: 0.3363	LR: 0.020000
Training Epoch: 29 [17920/46200]	Loss: 0.4320	LR: 0.020000
Training Epoch: 29 [18176/46200]	Loss: 0.3443	LR: 0.020000
Training Epoch: 29 [18432/46200]	Loss: 0.3119	LR: 0.020000
Training Epoch: 29 [18688/46200]	Loss: 0.3374	LR: 0.020000
Training Epoch: 29 [18944/46200]	Loss: 0.3458	LR: 0.020000
Training Epoch: 29 [19200/46200]	Loss: 0.4216	LR: 0.020000
Training Epoch: 29 [19456/46200]	Loss: 0.3682	LR: 0.020000
Training Epoch: 29 [19712/46200]	Loss: 0.3228	LR: 0.020000
Training Epoch: 29 [19968/46200]	Loss: 0.3182	LR: 0.020000
Training Epoch: 29 [20224/46200]	Loss: 0.3201	LR: 0.020000
Training Epoch: 29 [20480/46200]	Loss: 0.3513	LR: 0.020000
Training Epoch: 29 [20736/46200]	Loss: 0.3725	LR: 0.020000
Training Epoch: 29 [20992/46200]	Loss: 0.4213	LR: 0.020000
Training Epoch: 29 [21248/46200]	Loss: 0.3358	LR: 0.020000
Training Epoch: 29 [21504/46200]	Loss: 0.2857	LR: 0.020000
Training Epoch: 29 [21760/46200]	Loss: 0.3020	LR: 0.020000
Training Epoch: 29 [22016/46200]	Loss: 0.2521	LR: 0.020000
Training Epoch: 29 [22272/46200]	Loss: 0.3722	LR: 0.020000
Training Epoch: 29 [22528/46200]	Loss: 0.3575	LR: 0.020000
Training Epoch: 29 [22784/46200]	Loss: 0.3872	LR: 0.020000
Training Epoch: 29 [23040/46200]	Loss: 0.3484	LR: 0.020000
Training Epoch: 29 [23296/46200]	Loss: 0.3379	LR: 0.020000
Training Epoch: 29 [23552/46200]	Loss: 0.3952	LR: 0.020000
Training Epoch: 29 [23808/46200]	Loss: 0.3497	LR: 0.020000
Training Epoch: 29 [24064/46200]	Loss: 0.4676	LR: 0.020000
Training Epoch: 29 [24320/46200]	Loss: 0.3261	LR: 0.020000
Training Epoch: 29 [24576/46200]	Loss: 0.2453	LR: 0.020000
Training Epoch: 29 [24832/46200]	Loss: 0.3282	LR: 0.020000
Training Epoch: 29 [25088/46200]	Loss: 0.3446	LR: 0.020000
Training Epoch: 29 [25344/46200]	Loss: 0.3286	LR: 0.020000
Training Epoch: 29 [25600/46200]	Loss: 0.3362	LR: 0.020000
Training Epoch: 29 [25856/46200]	Loss: 0.2944	LR: 0.020000
Training Epoch: 29 [26112/46200]	Loss: 0.3125	LR: 0.020000
Training Epoch: 29 [26368/46200]	Loss: 0.3115	LR: 0.020000
Training Epoch: 29 [26624/46200]	Loss: 0.4230	LR: 0.020000
Training Epoch: 29 [26880/46200]	Loss: 0.3772	LR: 0.020000
Training Epoch: 29 [27136/46200]	Loss: 0.2920	LR: 0.020000
Training Epoch: 29 [27392/46200]	Loss: 0.3602	LR: 0.020000
Training Epoch: 29 [27648/46200]	Loss: 0.3447	LR: 0.020000
Training Epoch: 29 [27904/46200]	Loss: 0.2975	LR: 0.020000
Training Epoch: 29 [28160/46200]	Loss: 0.3661	LR: 0.020000
Training Epoch: 29 [28416/46200]	Loss: 0.4203	LR: 0.020000
Training Epoch: 29 [28672/46200]	Loss: 0.4062	LR: 0.020000
Training Epoch: 29 [28928/46200]	Loss: 0.3678	LR: 0.020000
Training Epoch: 29 [29184/46200]	Loss: 0.3770	LR: 0.020000
Training Epoch: 29 [29440/46200]	Loss: 0.3359	LR: 0.020000
Training Epoch: 29 [29696/46200]	Loss: 0.3524	LR: 0.020000
Training Epoch: 29 [29952/46200]	Loss: 0.3155	LR: 0.020000
Training Epoch: 29 [30208/46200]	Loss: 0.3731	LR: 0.020000
Training Epoch: 29 [30464/46200]	Loss: 0.2958	LR: 0.020000
Training Epoch: 29 [30720/46200]	Loss: 0.3930	LR: 0.020000
Training Epoch: 29 [30976/46200]	Loss: 0.4251	LR: 0.020000
Training Epoch: 29 [31232/46200]	Loss: 0.2794	LR: 0.020000
Training Epoch: 29 [31488/46200]	Loss: 0.3499	LR: 0.020000
Training Epoch: 29 [31744/46200]	Loss: 0.3694	LR: 0.020000
Training Epoch: 29 [32000/46200]	Loss: 0.3480	LR: 0.020000
Training Epoch: 29 [32256/46200]	Loss: 0.2702	LR: 0.020000
Training Epoch: 29 [32512/46200]	Loss: 0.3767	LR: 0.020000
Training Epoch: 29 [32768/46200]	Loss: 0.3560	LR: 0.020000
Training Epoch: 29 [33024/46200]	Loss: 0.2811	LR: 0.020000
Training Epoch: 29 [33280/46200]	Loss: 0.3801	LR: 0.020000
Training Epoch: 29 [33536/46200]	Loss: 0.4953	LR: 0.020000
Training Epoch: 29 [33792/46200]	Loss: 0.3634	LR: 0.020000
Training Epoch: 29 [34048/46200]	Loss: 0.3944	LR: 0.020000
Training Epoch: 29 [34304/46200]	Loss: 0.3393	LR: 0.020000
Training Epoch: 29 [34560/46200]	Loss: 0.3366	LR: 0.020000
Training Epoch: 29 [34816/46200]	Loss: 0.2973	LR: 0.020000
Training Epoch: 29 [35072/46200]	Loss: 0.4296	LR: 0.020000
Training Epoch: 29 [35328/46200]	Loss: 0.3990	LR: 0.020000
Training Epoch: 29 [35584/46200]	Loss: 0.2930	LR: 0.020000
Training Epoch: 29 [35840/46200]	Loss: 0.3118	LR: 0.020000
Training Epoch: 29 [36096/46200]	Loss: 0.3933	LR: 0.020000
Training Epoch: 29 [36352/46200]	Loss: 0.4398	LR: 0.020000
Training Epoch: 29 [36608/46200]	Loss: 0.3734	LR: 0.020000
Training Epoch: 29 [36864/46200]	Loss: 0.3208	LR: 0.020000
Training Epoch: 29 [37120/46200]	Loss: 0.4189	LR: 0.020000
Training Epoch: 29 [37376/46200]	Loss: 0.3632	LR: 0.020000
Training Epoch: 29 [37632/46200]	Loss: 0.3921	LR: 0.020000
Training Epoch: 29 [37888/46200]	Loss: 0.3998	LR: 0.020000
Training Epoch: 29 [38144/46200]	Loss: 0.4151	LR: 0.020000
Training Epoch: 29 [38400/46200]	Loss: 0.4475	LR: 0.020000
Training Epoch: 29 [38656/46200]	Loss: 0.3981	LR: 0.020000
Training Epoch: 29 [38912/46200]	Loss: 0.3327	LR: 0.020000
Training Epoch: 29 [39168/46200]	Loss: 0.3861	LR: 0.020000
Training Epoch: 29 [39424/46200]	Loss: 0.4215	LR: 0.020000
Training Epoch: 29 [39680/46200]	Loss: 0.4224	LR: 0.020000
Training Epoch: 29 [39936/46200]	Loss: 0.3338	LR: 0.020000
Training Epoch: 29 [40192/46200]	Loss: 0.3665	LR: 0.020000
Training Epoch: 29 [40448/46200]	Loss: 0.3766	LR: 0.020000
Training Epoch: 29 [40704/46200]	Loss: 0.4099	LR: 0.020000
Training Epoch: 29 [40960/46200]	Loss: 0.3930	LR: 0.020000
Training Epoch: 29 [41216/46200]	Loss: 0.3541	LR: 0.020000
Training Epoch: 29 [41472/46200]	Loss: 0.3135	LR: 0.020000
Training Epoch: 29 [41728/46200]	Loss: 0.4285	LR: 0.020000
Training Epoch: 29 [41984/46200]	Loss: 0.3703	LR: 0.020000
Training Epoch: 29 [42240/46200]	Loss: 0.4129	LR: 0.020000
Training Epoch: 29 [42496/46200]	Loss: 0.3679	LR: 0.020000
Training Epoch: 29 [42752/46200]	Loss: 0.3574	LR: 0.020000
Training Epoch: 29 [43008/46200]	Loss: 0.3789	LR: 0.020000
Training Epoch: 29 [43264/46200]	Loss: 0.3802	LR: 0.020000
Training Epoch: 29 [43520/46200]	Loss: 0.4317	LR: 0.020000
Training Epoch: 29 [43776/46200]	Loss: 0.3703	LR: 0.020000
Training Epoch: 29 [44032/46200]	Loss: 0.3752	LR: 0.020000
Training Epoch: 29 [44288/46200]	Loss: 0.2794	LR: 0.020000
Training Epoch: 29 [44544/46200]	Loss: 0.3176	LR: 0.020000
Training Epoch: 29 [44800/46200]	Loss: 0.4465	LR: 0.020000
Training Epoch: 29 [45056/46200]	Loss: 0.2914	LR: 0.020000
Training Epoch: 29 [45312/46200]	Loss: 0.3002	LR: 0.020000
Training Epoch: 29 [45568/46200]	Loss: 0.3392	LR: 0.020000
Training Epoch: 29 [45824/46200]	Loss: 0.3482	LR: 0.020000
Training Epoch: 29 [46080/46200]	Loss: 0.4217	LR: 0.020000
Training Epoch: 29 [46200/46200]	Loss: 0.3985	LR: 0.020000
Epoch 29 - Average Train Loss: 0.3494, Train Accuracy: 0.8817
Epoch 29 training time consumed: 27.65s
Evaluating Network.....
Test set: Epoch: 29, Average loss: 0.0034, Accuracy: 0.7562, Time consumed:0.88s
Training Epoch: 30 [256/46200]	Loss: 0.3512	LR: 0.004000
Training Epoch: 30 [512/46200]	Loss: 0.2724	LR: 0.004000
Training Epoch: 30 [768/46200]	Loss: 0.2967	LR: 0.004000
Training Epoch: 30 [1024/46200]	Loss: 0.3949	LR: 0.004000
Training Epoch: 30 [1280/46200]	Loss: 0.3664	LR: 0.004000
Training Epoch: 30 [1536/46200]	Loss: 0.2529	LR: 0.004000
Training Epoch: 30 [1792/46200]	Loss: 0.2877	LR: 0.004000
Training Epoch: 30 [2048/46200]	Loss: 0.3205	LR: 0.004000
Training Epoch: 30 [2304/46200]	Loss: 0.3397	LR: 0.004000
Training Epoch: 30 [2560/46200]	Loss: 0.2892	LR: 0.004000
Training Epoch: 30 [2816/46200]	Loss: 0.2937	LR: 0.004000
Training Epoch: 30 [3072/46200]	Loss: 0.3019	LR: 0.004000
Training Epoch: 30 [3328/46200]	Loss: 0.2224	LR: 0.004000
Training Epoch: 30 [3584/46200]	Loss: 0.3374	LR: 0.004000
Training Epoch: 30 [3840/46200]	Loss: 0.3505	LR: 0.004000
Training Epoch: 30 [4096/46200]	Loss: 0.2577	LR: 0.004000
Training Epoch: 30 [4352/46200]	Loss: 0.2342	LR: 0.004000
Training Epoch: 30 [4608/46200]	Loss: 0.2776	LR: 0.004000
Training Epoch: 30 [4864/46200]	Loss: 0.2266	LR: 0.004000
Training Epoch: 30 [5120/46200]	Loss: 0.3246	LR: 0.004000
Training Epoch: 30 [5376/46200]	Loss: 0.2190	LR: 0.004000
Training Epoch: 30 [5632/46200]	Loss: 0.3142	LR: 0.004000
Training Epoch: 30 [5888/46200]	Loss: 0.2632	LR: 0.004000
Training Epoch: 30 [6144/46200]	Loss: 0.2538	LR: 0.004000
Training Epoch: 30 [6400/46200]	Loss: 0.2127	LR: 0.004000
Training Epoch: 30 [6656/46200]	Loss: 0.1841	LR: 0.004000
Training Epoch: 30 [6912/46200]	Loss: 0.2442	LR: 0.004000
Training Epoch: 30 [7168/46200]	Loss: 0.2115	LR: 0.004000
Training Epoch: 30 [7424/46200]	Loss: 0.2989	LR: 0.004000
Training Epoch: 30 [7680/46200]	Loss: 0.2748	LR: 0.004000
Training Epoch: 30 [7936/46200]	Loss: 0.2187	LR: 0.004000
Training Epoch: 30 [8192/46200]	Loss: 0.2282	LR: 0.004000
Training Epoch: 30 [8448/46200]	Loss: 0.2349	LR: 0.004000
Training Epoch: 30 [8704/46200]	Loss: 0.2385	LR: 0.004000
Training Epoch: 30 [8960/46200]	Loss: 0.2280	LR: 0.004000
Training Epoch: 30 [9216/46200]	Loss: 0.2603	LR: 0.004000
Training Epoch: 30 [9472/46200]	Loss: 0.2480	LR: 0.004000
Training Epoch: 30 [9728/46200]	Loss: 0.2591	LR: 0.004000
Training Epoch: 30 [9984/46200]	Loss: 0.2178	LR: 0.004000
Training Epoch: 30 [10240/46200]	Loss: 0.2173	LR: 0.004000
Training Epoch: 30 [10496/46200]	Loss: 0.3059	LR: 0.004000
Training Epoch: 30 [10752/46200]	Loss: 0.2429	LR: 0.004000
Training Epoch: 30 [11008/46200]	Loss: 0.1964	LR: 0.004000
Training Epoch: 30 [11264/46200]	Loss: 0.2545	LR: 0.004000
Training Epoch: 30 [11520/46200]	Loss: 0.1791	LR: 0.004000
Training Epoch: 30 [11776/46200]	Loss: 0.2096	LR: 0.004000
Training Epoch: 30 [12032/46200]	Loss: 0.2347	LR: 0.004000
Training Epoch: 30 [12288/46200]	Loss: 0.2676	LR: 0.004000
Training Epoch: 30 [12544/46200]	Loss: 0.2591	LR: 0.004000
Training Epoch: 30 [12800/46200]	Loss: 0.1832	LR: 0.004000
Training Epoch: 30 [13056/46200]	Loss: 0.2293	LR: 0.004000
Training Epoch: 30 [13312/46200]	Loss: 0.2225	LR: 0.004000
Training Epoch: 30 [13568/46200]	Loss: 0.2433	LR: 0.004000
Training Epoch: 30 [13824/46200]	Loss: 0.1868	LR: 0.004000
Training Epoch: 30 [14080/46200]	Loss: 0.2110	LR: 0.004000
Training Epoch: 30 [14336/46200]	Loss: 0.2558	LR: 0.004000
Training Epoch: 30 [14592/46200]	Loss: 0.1920	LR: 0.004000
Training Epoch: 30 [14848/46200]	Loss: 0.2330	LR: 0.004000
Training Epoch: 30 [15104/46200]	Loss: 0.2925	LR: 0.004000
Training Epoch: 30 [15360/46200]	Loss: 0.2339	LR: 0.004000
Training Epoch: 30 [15616/46200]	Loss: 0.1834	LR: 0.004000
Training Epoch: 30 [15872/46200]	Loss: 0.2545	LR: 0.004000
Training Epoch: 30 [16128/46200]	Loss: 0.1859	LR: 0.004000
Training Epoch: 30 [16384/46200]	Loss: 0.2036	LR: 0.004000
Training Epoch: 30 [16640/46200]	Loss: 0.2563	LR: 0.004000
Training Epoch: 30 [16896/46200]	Loss: 0.2407	LR: 0.004000
Training Epoch: 30 [17152/46200]	Loss: 0.3273	LR: 0.004000
Training Epoch: 30 [17408/46200]	Loss: 0.1950	LR: 0.004000
Training Epoch: 30 [17664/46200]	Loss: 0.1737	LR: 0.004000
Training Epoch: 30 [17920/46200]	Loss: 0.2036	LR: 0.004000
Training Epoch: 30 [18176/46200]	Loss: 0.2739	LR: 0.004000
Training Epoch: 30 [18432/46200]	Loss: 0.1980	LR: 0.004000
Training Epoch: 30 [18688/46200]	Loss: 0.2554	LR: 0.004000
Training Epoch: 30 [18944/46200]	Loss: 0.1691	LR: 0.004000
Training Epoch: 30 [19200/46200]	Loss: 0.2346	LR: 0.004000
Training Epoch: 30 [19456/46200]	Loss: 0.2403	LR: 0.004000
Training Epoch: 30 [19712/46200]	Loss: 0.2670	LR: 0.004000
Training Epoch: 30 [19968/46200]	Loss: 0.1838	LR: 0.004000
Training Epoch: 30 [20224/46200]	Loss: 0.2261	LR: 0.004000
Training Epoch: 30 [20480/46200]	Loss: 0.1711	LR: 0.004000
Training Epoch: 30 [20736/46200]	Loss: 0.2893	LR: 0.004000
Training Epoch: 30 [20992/46200]	Loss: 0.2589	LR: 0.004000
Training Epoch: 30 [21248/46200]	Loss: 0.2260	LR: 0.004000
Training Epoch: 30 [21504/46200]	Loss: 0.2419	LR: 0.004000
Training Epoch: 30 [21760/46200]	Loss: 0.1475	LR: 0.004000
Training Epoch: 30 [22016/46200]	Loss: 0.2277	LR: 0.004000
Training Epoch: 30 [22272/46200]	Loss: 0.2433	LR: 0.004000
Training Epoch: 30 [22528/46200]	Loss: 0.2394	LR: 0.004000
Training Epoch: 30 [22784/46200]	Loss: 0.2323	LR: 0.004000
Training Epoch: 30 [23040/46200]	Loss: 0.1592	LR: 0.004000
Training Epoch: 30 [23296/46200]	Loss: 0.1953	LR: 0.004000
Training Epoch: 30 [23552/46200]	Loss: 0.1812	LR: 0.004000
Training Epoch: 30 [23808/46200]	Loss: 0.2201	LR: 0.004000
Training Epoch: 30 [24064/46200]	Loss: 0.2058	LR: 0.004000
Training Epoch: 30 [24320/46200]	Loss: 0.2235	LR: 0.004000
Training Epoch: 30 [24576/46200]	Loss: 0.2507	LR: 0.004000
Training Epoch: 30 [24832/46200]	Loss: 0.2297	LR: 0.004000
Training Epoch: 30 [25088/46200]	Loss: 0.1958	LR: 0.004000
Training Epoch: 30 [25344/46200]	Loss: 0.2078	LR: 0.004000
Training Epoch: 30 [25600/46200]	Loss: 0.2835	LR: 0.004000
Training Epoch: 30 [25856/46200]	Loss: 0.2255	LR: 0.004000
Training Epoch: 30 [26112/46200]	Loss: 0.2317	LR: 0.004000
Training Epoch: 30 [26368/46200]	Loss: 0.2622	LR: 0.004000
Training Epoch: 30 [26624/46200]	Loss: 0.2166	LR: 0.004000
Training Epoch: 30 [26880/46200]	Loss: 0.2482	LR: 0.004000
Training Epoch: 30 [27136/46200]	Loss: 0.1657	LR: 0.004000
Training Epoch: 30 [27392/46200]	Loss: 0.2651	LR: 0.004000
Training Epoch: 30 [27648/46200]	Loss: 0.2546	LR: 0.004000
Training Epoch: 30 [27904/46200]	Loss: 0.2354	LR: 0.004000
Training Epoch: 30 [28160/46200]	Loss: 0.2476	LR: 0.004000
Training Epoch: 30 [28416/46200]	Loss: 0.2125	LR: 0.004000
Training Epoch: 30 [28672/46200]	Loss: 0.2198	LR: 0.004000
Training Epoch: 30 [28928/46200]	Loss: 0.2408	LR: 0.004000
Training Epoch: 30 [29184/46200]	Loss: 0.1895	LR: 0.004000
Training Epoch: 30 [29440/46200]	Loss: 0.2746	LR: 0.004000
Training Epoch: 30 [29696/46200]	Loss: 0.2433	LR: 0.004000
Training Epoch: 30 [29952/46200]	Loss: 0.2220	LR: 0.004000
Training Epoch: 30 [30208/46200]	Loss: 0.2359	LR: 0.004000
Training Epoch: 30 [30464/46200]	Loss: 0.2025	LR: 0.004000
Training Epoch: 30 [30720/46200]	Loss: 0.1905	LR: 0.004000
Training Epoch: 30 [30976/46200]	Loss: 0.2581	LR: 0.004000
Training Epoch: 30 [31232/46200]	Loss: 0.2551	LR: 0.004000
Training Epoch: 30 [31488/46200]	Loss: 0.2444	LR: 0.004000
Training Epoch: 30 [31744/46200]	Loss: 0.2070	LR: 0.004000
Training Epoch: 30 [32000/46200]	Loss: 0.1701	LR: 0.004000
Training Epoch: 30 [32256/46200]	Loss: 0.1757	LR: 0.004000
Training Epoch: 30 [32512/46200]	Loss: 0.2136	LR: 0.004000
Training Epoch: 30 [32768/46200]	Loss: 0.2676	LR: 0.004000
Training Epoch: 30 [33024/46200]	Loss: 0.2433	LR: 0.004000
Training Epoch: 30 [33280/46200]	Loss: 0.2839	LR: 0.004000
Training Epoch: 30 [33536/46200]	Loss: 0.2783	LR: 0.004000
Training Epoch: 30 [33792/46200]	Loss: 0.2078	LR: 0.004000
Training Epoch: 30 [34048/46200]	Loss: 0.2540	LR: 0.004000
Training Epoch: 30 [34304/46200]	Loss: 0.2443	LR: 0.004000
Training Epoch: 30 [34560/46200]	Loss: 0.2019	LR: 0.004000
Training Epoch: 30 [34816/46200]	Loss: 0.2079	LR: 0.004000
Training Epoch: 30 [35072/46200]	Loss: 0.2498	LR: 0.004000
Training Epoch: 30 [35328/46200]	Loss: 0.1619	LR: 0.004000
Training Epoch: 30 [35584/46200]	Loss: 0.2197	LR: 0.004000
Training Epoch: 30 [35840/46200]	Loss: 0.2335	LR: 0.004000
Training Epoch: 30 [36096/46200]	Loss: 0.1812	LR: 0.004000
Training Epoch: 30 [36352/46200]	Loss: 0.1823	LR: 0.004000
Training Epoch: 30 [36608/46200]	Loss: 0.1713	LR: 0.004000
Training Epoch: 30 [36864/46200]	Loss: 0.2013	LR: 0.004000
Training Epoch: 30 [37120/46200]	Loss: 0.1940	LR: 0.004000
Training Epoch: 30 [37376/46200]	Loss: 0.1629	LR: 0.004000
Training Epoch: 30 [37632/46200]	Loss: 0.2394	LR: 0.004000
Training Epoch: 30 [37888/46200]	Loss: 0.1904	LR: 0.004000
Training Epoch: 30 [38144/46200]	Loss: 0.2061	LR: 0.004000
Training Epoch: 30 [38400/46200]	Loss: 0.1718	LR: 0.004000
Training Epoch: 30 [38656/46200]	Loss: 0.1777	LR: 0.004000
Training Epoch: 30 [38912/46200]	Loss: 0.1387	LR: 0.004000
Training Epoch: 30 [39168/46200]	Loss: 0.2007	LR: 0.004000
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Training Epoch: 30 [43008/46200]	Loss: 0.2556	LR: 0.004000
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Training Epoch: 30 [43520/46200]	Loss: 0.2582	LR: 0.004000
Training Epoch: 30 [43776/46200]	Loss: 0.1992	LR: 0.004000
Training Epoch: 30 [44032/46200]	Loss: 0.1539	LR: 0.004000
Training Epoch: 30 [44288/46200]	Loss: 0.1911	LR: 0.004000
Training Epoch: 30 [44544/46200]	Loss: 0.1872	LR: 0.004000
Training Epoch: 30 [44800/46200]	Loss: 0.3063	LR: 0.004000
Training Epoch: 30 [45056/46200]	Loss: 0.1635	LR: 0.004000
Training Epoch: 30 [45312/46200]	Loss: 0.2256	LR: 0.004000
Training Epoch: 30 [45568/46200]	Loss: 0.2045	LR: 0.004000
Training Epoch: 30 [45824/46200]	Loss: 0.2116	LR: 0.004000
Training Epoch: 30 [46080/46200]	Loss: 0.1270	LR: 0.004000
Training Epoch: 30 [46200/46200]	Loss: 0.2121	LR: 0.004000
Epoch 30 - Average Train Loss: 0.2310, Train Accuracy: 0.9268
Epoch 30 training time consumed: 27.48s
Evaluating Network.....
Test set: Epoch: 30, Average loss: 0.0028, Accuracy: 0.8045, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_02h_55m_57s/ResNet18-Cifar20-seed6-ret25-30-best.pth
Training Epoch: 31 [256/46200]	Loss: 0.1689	LR: 0.004000
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Training Epoch: 31 [43520/46200]	Loss: 0.1192	LR: 0.004000
Training Epoch: 31 [43776/46200]	Loss: 0.1858	LR: 0.004000
Training Epoch: 31 [44032/46200]	Loss: 0.1708	LR: 0.004000
Training Epoch: 31 [44288/46200]	Loss: 0.1609	LR: 0.004000
Training Epoch: 31 [44544/46200]	Loss: 0.1823	LR: 0.004000
Training Epoch: 31 [44800/46200]	Loss: 0.1673	LR: 0.004000
Training Epoch: 31 [45056/46200]	Loss: 0.1480	LR: 0.004000
Training Epoch: 31 [45312/46200]	Loss: 0.1755	LR: 0.004000
Training Epoch: 31 [45568/46200]	Loss: 0.1398	LR: 0.004000
Training Epoch: 31 [45824/46200]	Loss: 0.2145	LR: 0.004000
Training Epoch: 31 [46080/46200]	Loss: 0.1699	LR: 0.004000
Training Epoch: 31 [46200/46200]	Loss: 0.1321	LR: 0.004000
Epoch 31 - Average Train Loss: 0.1839, Train Accuracy: 0.9427
Epoch 31 training time consumed: 27.56s
Evaluating Network.....
Test set: Epoch: 31, Average loss: 0.0028, Accuracy: 0.8009, Time consumed:0.91s
Training Epoch: 32 [256/46200]	Loss: 0.2120	LR: 0.004000
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Training Epoch: 32 [1024/46200]	Loss: 0.1986	LR: 0.004000
Training Epoch: 32 [1280/46200]	Loss: 0.1893	LR: 0.004000
Training Epoch: 32 [1536/46200]	Loss: 0.1667	LR: 0.004000
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Training Epoch: 32 [44544/46200]	Loss: 0.1840	LR: 0.004000
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Training Epoch: 32 [45056/46200]	Loss: 0.1193	LR: 0.004000
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Training Epoch: 32 [45568/46200]	Loss: 0.2132	LR: 0.004000
Training Epoch: 32 [45824/46200]	Loss: 0.1207	LR: 0.004000
Training Epoch: 32 [46080/46200]	Loss: 0.1670	LR: 0.004000
Training Epoch: 32 [46200/46200]	Loss: 0.1314	LR: 0.004000
Epoch 32 - Average Train Loss: 0.1670, Train Accuracy: 0.9502
Epoch 32 training time consumed: 27.47s
Evaluating Network.....
Test set: Epoch: 32, Average loss: 0.0028, Accuracy: 0.8053, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_02h_55m_57s/ResNet18-Cifar20-seed6-ret25-32-best.pth
Training Epoch: 33 [256/46200]	Loss: 0.0807	LR: 0.004000
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Training Epoch: 33 [45824/46200]	Loss: 0.1809	LR: 0.004000
Training Epoch: 33 [46080/46200]	Loss: 0.1608	LR: 0.004000
Training Epoch: 33 [46200/46200]	Loss: 0.1248	LR: 0.004000
Epoch 33 - Average Train Loss: 0.1527, Train Accuracy: 0.9541
Epoch 33 training time consumed: 27.48s
Evaluating Network.....
Test set: Epoch: 33, Average loss: 0.0029, Accuracy: 0.8035, Time consumed:0.92s
Training Epoch: 34 [256/46200]	Loss: 0.1262	LR: 0.004000
Training Epoch: 34 [512/46200]	Loss: 0.2014	LR: 0.004000
Training Epoch: 34 [768/46200]	Loss: 0.1233	LR: 0.004000
Training Epoch: 34 [1024/46200]	Loss: 0.1245	LR: 0.004000
Training Epoch: 34 [1280/46200]	Loss: 0.1099	LR: 0.004000
Training Epoch: 34 [1536/46200]	Loss: 0.1441	LR: 0.004000
Training Epoch: 34 [1792/46200]	Loss: 0.1632	LR: 0.004000
Training Epoch: 34 [2048/46200]	Loss: 0.1973	LR: 0.004000
Training Epoch: 34 [2304/46200]	Loss: 0.1168	LR: 0.004000
Training Epoch: 34 [2560/46200]	Loss: 0.1076	LR: 0.004000
Training Epoch: 34 [2816/46200]	Loss: 0.1047	LR: 0.004000
Training Epoch: 34 [3072/46200]	Loss: 0.1078	LR: 0.004000
Training Epoch: 34 [3328/46200]	Loss: 0.1688	LR: 0.004000
Training Epoch: 34 [3584/46200]	Loss: 0.1253	LR: 0.004000
Training Epoch: 34 [3840/46200]	Loss: 0.1451	LR: 0.004000
Training Epoch: 34 [4096/46200]	Loss: 0.1573	LR: 0.004000
Training Epoch: 34 [4352/46200]	Loss: 0.0806	LR: 0.004000
Training Epoch: 34 [4608/46200]	Loss: 0.1201	LR: 0.004000
Training Epoch: 34 [4864/46200]	Loss: 0.1312	LR: 0.004000
Training Epoch: 34 [5120/46200]	Loss: 0.1666	LR: 0.004000
Training Epoch: 34 [5376/46200]	Loss: 0.1090	LR: 0.004000
Training Epoch: 34 [5632/46200]	Loss: 0.1576	LR: 0.004000
Training Epoch: 34 [5888/46200]	Loss: 0.1283	LR: 0.004000
Training Epoch: 34 [6144/46200]	Loss: 0.1309	LR: 0.004000
Training Epoch: 34 [6400/46200]	Loss: 0.1296	LR: 0.004000
Training Epoch: 34 [6656/46200]	Loss: 0.1322	LR: 0.004000
Training Epoch: 34 [6912/46200]	Loss: 0.1627	LR: 0.004000
Training Epoch: 34 [7168/46200]	Loss: 0.0896	LR: 0.004000
Training Epoch: 34 [7424/46200]	Loss: 0.1645	LR: 0.004000
Training Epoch: 34 [7680/46200]	Loss: 0.1318	LR: 0.004000
Training Epoch: 34 [7936/46200]	Loss: 0.1261	LR: 0.004000
Training Epoch: 34 [8192/46200]	Loss: 0.1663	LR: 0.004000
Training Epoch: 34 [8448/46200]	Loss: 0.1477	LR: 0.004000
Training Epoch: 34 [8704/46200]	Loss: 0.1113	LR: 0.004000
Training Epoch: 34 [8960/46200]	Loss: 0.1619	LR: 0.004000
Training Epoch: 34 [9216/46200]	Loss: 0.1148	LR: 0.004000
Training Epoch: 34 [9472/46200]	Loss: 0.1379	LR: 0.004000
Training Epoch: 34 [9728/46200]	Loss: 0.1224	LR: 0.004000
Training Epoch: 34 [9984/46200]	Loss: 0.1547	LR: 0.004000
Training Epoch: 34 [10240/46200]	Loss: 0.1552	LR: 0.004000
Training Epoch: 34 [10496/46200]	Loss: 0.1283	LR: 0.004000
Training Epoch: 34 [10752/46200]	Loss: 0.1554	LR: 0.004000
Training Epoch: 34 [11008/46200]	Loss: 0.1205	LR: 0.004000
Training Epoch: 34 [11264/46200]	Loss: 0.1337	LR: 0.004000
Training Epoch: 34 [11520/46200]	Loss: 0.1253	LR: 0.004000
Training Epoch: 34 [11776/46200]	Loss: 0.1552	LR: 0.004000
Training Epoch: 34 [12032/46200]	Loss: 0.1601	LR: 0.004000
Training Epoch: 34 [12288/46200]	Loss: 0.1288	LR: 0.004000
Training Epoch: 34 [12544/46200]	Loss: 0.1165	LR: 0.004000
Training Epoch: 34 [12800/46200]	Loss: 0.1036	LR: 0.004000
Training Epoch: 34 [13056/46200]	Loss: 0.1622	LR: 0.004000
Training Epoch: 34 [13312/46200]	Loss: 0.1568	LR: 0.004000
Training Epoch: 34 [13568/46200]	Loss: 0.1800	LR: 0.004000
Training Epoch: 34 [13824/46200]	Loss: 0.1298	LR: 0.004000
Training Epoch: 34 [14080/46200]	Loss: 0.1721	LR: 0.004000
Training Epoch: 34 [14336/46200]	Loss: 0.1583	LR: 0.004000
Training Epoch: 34 [14592/46200]	Loss: 0.1391	LR: 0.004000
Training Epoch: 34 [14848/46200]	Loss: 0.1103	LR: 0.004000
Training Epoch: 34 [15104/46200]	Loss: 0.1390	LR: 0.004000
Training Epoch: 34 [15360/46200]	Loss: 0.1266	LR: 0.004000
Training Epoch: 34 [15616/46200]	Loss: 0.1071	LR: 0.004000
Training Epoch: 34 [15872/46200]	Loss: 0.1587	LR: 0.004000
Training Epoch: 34 [16128/46200]	Loss: 0.1357	LR: 0.004000
Training Epoch: 34 [16384/46200]	Loss: 0.1529	LR: 0.004000
Training Epoch: 34 [16640/46200]	Loss: 0.1278	LR: 0.004000
Training Epoch: 34 [16896/46200]	Loss: 0.1228	LR: 0.004000
Training Epoch: 34 [17152/46200]	Loss: 0.1554	LR: 0.004000
Training Epoch: 34 [17408/46200]	Loss: 0.1607	LR: 0.004000
Training Epoch: 34 [17664/46200]	Loss: 0.1368	LR: 0.004000
Training Epoch: 34 [17920/46200]	Loss: 0.1688	LR: 0.004000
Training Epoch: 34 [18176/46200]	Loss: 0.1441	LR: 0.004000
Training Epoch: 34 [18432/46200]	Loss: 0.0942	LR: 0.004000
Training Epoch: 34 [18688/46200]	Loss: 0.1692	LR: 0.004000
Training Epoch: 34 [18944/46200]	Loss: 0.1186	LR: 0.004000
Training Epoch: 34 [19200/46200]	Loss: 0.1451	LR: 0.004000
Training Epoch: 34 [19456/46200]	Loss: 0.1621	LR: 0.004000
Training Epoch: 34 [19712/46200]	Loss: 0.1261	LR: 0.004000
Training Epoch: 34 [19968/46200]	Loss: 0.1481	LR: 0.004000
Training Epoch: 34 [20224/46200]	Loss: 0.1364	LR: 0.004000
Training Epoch: 34 [20480/46200]	Loss: 0.1399	LR: 0.004000
Training Epoch: 34 [20736/46200]	Loss: 0.0906	LR: 0.004000
Training Epoch: 34 [20992/46200]	Loss: 0.1237	LR: 0.004000
Training Epoch: 34 [21248/46200]	Loss: 0.1583	LR: 0.004000
Training Epoch: 34 [21504/46200]	Loss: 0.1518	LR: 0.004000
Training Epoch: 34 [21760/46200]	Loss: 0.0946	LR: 0.004000
Training Epoch: 34 [22016/46200]	Loss: 0.1609	LR: 0.004000
Training Epoch: 34 [22272/46200]	Loss: 0.1249	LR: 0.004000
Training Epoch: 34 [22528/46200]	Loss: 0.1606	LR: 0.004000
Training Epoch: 34 [22784/46200]	Loss: 0.1678	LR: 0.004000
Training Epoch: 34 [23040/46200]	Loss: 0.1490	LR: 0.004000
Training Epoch: 34 [23296/46200]	Loss: 0.1638	LR: 0.004000
Training Epoch: 34 [23552/46200]	Loss: 0.1800	LR: 0.004000
Training Epoch: 34 [23808/46200]	Loss: 0.1363	LR: 0.004000
Training Epoch: 34 [24064/46200]	Loss: 0.1130	LR: 0.004000
Training Epoch: 34 [24320/46200]	Loss: 0.1174	LR: 0.004000
Training Epoch: 34 [24576/46200]	Loss: 0.1696	LR: 0.004000
Training Epoch: 34 [24832/46200]	Loss: 0.1171	LR: 0.004000
Training Epoch: 34 [25088/46200]	Loss: 0.1170	LR: 0.004000
Training Epoch: 34 [25344/46200]	Loss: 0.1055	LR: 0.004000
Training Epoch: 34 [25600/46200]	Loss: 0.1168	LR: 0.004000
Training Epoch: 34 [25856/46200]	Loss: 0.1379	LR: 0.004000
Training Epoch: 34 [26112/46200]	Loss: 0.1213	LR: 0.004000
Training Epoch: 34 [26368/46200]	Loss: 0.1916	LR: 0.004000
Training Epoch: 34 [26624/46200]	Loss: 0.1057	LR: 0.004000
Training Epoch: 34 [26880/46200]	Loss: 0.1900	LR: 0.004000
Training Epoch: 34 [27136/46200]	Loss: 0.1397	LR: 0.004000
Training Epoch: 34 [27392/46200]	Loss: 0.1470	LR: 0.004000
Training Epoch: 34 [27648/46200]	Loss: 0.1070	LR: 0.004000
Training Epoch: 34 [27904/46200]	Loss: 0.1377	LR: 0.004000
Training Epoch: 34 [28160/46200]	Loss: 0.1395	LR: 0.004000
Training Epoch: 34 [28416/46200]	Loss: 0.1360	LR: 0.004000
Training Epoch: 34 [28672/46200]	Loss: 0.1260	LR: 0.004000
Training Epoch: 34 [28928/46200]	Loss: 0.1569	LR: 0.004000
Training Epoch: 34 [29184/46200]	Loss: 0.1218	LR: 0.004000
Training Epoch: 34 [29440/46200]	Loss: 0.1278	LR: 0.004000
Training Epoch: 34 [29696/46200]	Loss: 0.1223	LR: 0.004000
Training Epoch: 34 [29952/46200]	Loss: 0.1401	LR: 0.004000
Training Epoch: 34 [30208/46200]	Loss: 0.1198	LR: 0.004000
Training Epoch: 34 [30464/46200]	Loss: 0.1370	LR: 0.004000
Training Epoch: 34 [30720/46200]	Loss: 0.1228	LR: 0.004000
Training Epoch: 34 [30976/46200]	Loss: 0.1454	LR: 0.004000
Training Epoch: 34 [31232/46200]	Loss: 0.1531	LR: 0.004000
Training Epoch: 34 [31488/46200]	Loss: 0.1893	LR: 0.004000
Training Epoch: 34 [31744/46200]	Loss: 0.1724	LR: 0.004000
Training Epoch: 34 [32000/46200]	Loss: 0.1882	LR: 0.004000
Training Epoch: 34 [32256/46200]	Loss: 0.1541	LR: 0.004000
Training Epoch: 34 [32512/46200]	Loss: 0.1624	LR: 0.004000
Training Epoch: 34 [32768/46200]	Loss: 0.1600	LR: 0.004000
Training Epoch: 34 [33024/46200]	Loss: 0.1380	LR: 0.004000
Training Epoch: 34 [33280/46200]	Loss: 0.0874	LR: 0.004000
Training Epoch: 34 [33536/46200]	Loss: 0.1936	LR: 0.004000
Training Epoch: 34 [33792/46200]	Loss: 0.1446	LR: 0.004000
Training Epoch: 34 [34048/46200]	Loss: 0.1806	LR: 0.004000
Training Epoch: 34 [34304/46200]	Loss: 0.1288	LR: 0.004000
Training Epoch: 34 [34560/46200]	Loss: 0.1874	LR: 0.004000
Training Epoch: 34 [34816/46200]	Loss: 0.1708	LR: 0.004000
Training Epoch: 34 [35072/46200]	Loss: 0.1113	LR: 0.004000
Training Epoch: 34 [35328/46200]	Loss: 0.0853	LR: 0.004000
Training Epoch: 34 [35584/46200]	Loss: 0.1586	LR: 0.004000
Training Epoch: 34 [35840/46200]	Loss: 0.1288	LR: 0.004000
Training Epoch: 34 [36096/46200]	Loss: 0.1583	LR: 0.004000
Training Epoch: 34 [36352/46200]	Loss: 0.1486	LR: 0.004000
Training Epoch: 34 [36608/46200]	Loss: 0.1304	LR: 0.004000
Training Epoch: 34 [36864/46200]	Loss: 0.1268	LR: 0.004000
Training Epoch: 34 [37120/46200]	Loss: 0.1505	LR: 0.004000
Training Epoch: 34 [37376/46200]	Loss: 0.1350	LR: 0.004000
Training Epoch: 34 [37632/46200]	Loss: 0.1391	LR: 0.004000
Training Epoch: 34 [37888/46200]	Loss: 0.1062	LR: 0.004000
Training Epoch: 34 [38144/46200]	Loss: 0.1498	LR: 0.004000
Training Epoch: 34 [38400/46200]	Loss: 0.1166	LR: 0.004000
Training Epoch: 34 [38656/46200]	Loss: 0.1669	LR: 0.004000
Training Epoch: 34 [38912/46200]	Loss: 0.1412	LR: 0.004000
Training Epoch: 34 [39168/46200]	Loss: 0.1917	LR: 0.004000
Training Epoch: 34 [39424/46200]	Loss: 0.1457	LR: 0.004000
Training Epoch: 34 [39680/46200]	Loss: 0.1585	LR: 0.004000
Training Epoch: 34 [39936/46200]	Loss: 0.1497	LR: 0.004000
Training Epoch: 34 [40192/46200]	Loss: 0.1551	LR: 0.004000
Training Epoch: 34 [40448/46200]	Loss: 0.1451	LR: 0.004000
Training Epoch: 34 [40704/46200]	Loss: 0.1322	LR: 0.004000
Training Epoch: 34 [40960/46200]	Loss: 0.1993	LR: 0.004000
Training Epoch: 34 [41216/46200]	Loss: 0.1620	LR: 0.004000
Training Epoch: 34 [41472/46200]	Loss: 0.1260	LR: 0.004000
Training Epoch: 34 [41728/46200]	Loss: 0.1402	LR: 0.004000
Training Epoch: 34 [41984/46200]	Loss: 0.1776	LR: 0.004000
Training Epoch: 34 [42240/46200]	Loss: 0.1275	LR: 0.004000
Training Epoch: 34 [42496/46200]	Loss: 0.1573	LR: 0.004000
Training Epoch: 34 [42752/46200]	Loss: 0.1601	LR: 0.004000
Training Epoch: 34 [43008/46200]	Loss: 0.1352	LR: 0.004000
Training Epoch: 34 [43264/46200]	Loss: 0.1398	LR: 0.004000
Training Epoch: 34 [43520/46200]	Loss: 0.1866	LR: 0.004000
Training Epoch: 34 [43776/46200]	Loss: 0.1453	LR: 0.004000
Training Epoch: 34 [44032/46200]	Loss: 0.1099	LR: 0.004000
Training Epoch: 34 [44288/46200]	Loss: 0.1410	LR: 0.004000
Training Epoch: 34 [44544/46200]	Loss: 0.1855	LR: 0.004000
Training Epoch: 34 [44800/46200]	Loss: 0.1378	LR: 0.004000
Training Epoch: 34 [45056/46200]	Loss: 0.1609	LR: 0.004000
Training Epoch: 34 [45312/46200]	Loss: 0.1501	LR: 0.004000
Training Epoch: 34 [45568/46200]	Loss: 0.1437	LR: 0.004000
Training Epoch: 34 [45824/46200]	Loss: 0.1670	LR: 0.004000
Training Epoch: 34 [46080/46200]	Loss: 0.1207	LR: 0.004000
Training Epoch: 34 [46200/46200]	Loss: 0.2398	LR: 0.004000
Epoch 34 - Average Train Loss: 0.1418, Train Accuracy: 0.9576
Epoch 34 training time consumed: 27.59s
Evaluating Network.....
Test set: Epoch: 34, Average loss: 0.0029, Accuracy: 0.8043, Time consumed:0.95s
Training Epoch: 35 [256/46200]	Loss: 0.0841	LR: 0.000800
Training Epoch: 35 [512/46200]	Loss: 0.1049	LR: 0.000800
Training Epoch: 35 [768/46200]	Loss: 0.1296	LR: 0.000800
Training Epoch: 35 [1024/46200]	Loss: 0.0764	LR: 0.000800
Training Epoch: 35 [1280/46200]	Loss: 0.1028	LR: 0.000800
Training Epoch: 35 [1536/46200]	Loss: 0.1437	LR: 0.000800
Training Epoch: 35 [1792/46200]	Loss: 0.1662	LR: 0.000800
Training Epoch: 35 [2048/46200]	Loss: 0.1461	LR: 0.000800
Training Epoch: 35 [2304/46200]	Loss: 0.1441	LR: 0.000800
Training Epoch: 35 [2560/46200]	Loss: 0.1101	LR: 0.000800
Training Epoch: 35 [2816/46200]	Loss: 0.1787	LR: 0.000800
Training Epoch: 35 [3072/46200]	Loss: 0.1537	LR: 0.000800
Training Epoch: 35 [3328/46200]	Loss: 0.1065	LR: 0.000800
Training Epoch: 35 [3584/46200]	Loss: 0.1264	LR: 0.000800
Training Epoch: 35 [3840/46200]	Loss: 0.1255	LR: 0.000800
Training Epoch: 35 [4096/46200]	Loss: 0.1518	LR: 0.000800
Training Epoch: 35 [4352/46200]	Loss: 0.1152	LR: 0.000800
Training Epoch: 35 [4608/46200]	Loss: 0.1127	LR: 0.000800
Training Epoch: 35 [4864/46200]	Loss: 0.1302	LR: 0.000800
Training Epoch: 35 [5120/46200]	Loss: 0.1146	LR: 0.000800
Training Epoch: 35 [5376/46200]	Loss: 0.1069	LR: 0.000800
Training Epoch: 35 [5632/46200]	Loss: 0.1280	LR: 0.000800
Training Epoch: 35 [5888/46200]	Loss: 0.1294	LR: 0.000800
Training Epoch: 35 [6144/46200]	Loss: 0.0997	LR: 0.000800
Training Epoch: 35 [6400/46200]	Loss: 0.0933	LR: 0.000800
Training Epoch: 35 [6656/46200]	Loss: 0.1224	LR: 0.000800
Training Epoch: 35 [6912/46200]	Loss: 0.1027	LR: 0.000800
Training Epoch: 35 [7168/46200]	Loss: 0.1374	LR: 0.000800
Training Epoch: 35 [7424/46200]	Loss: 0.1406	LR: 0.000800
Training Epoch: 35 [7680/46200]	Loss: 0.1178	LR: 0.000800
Training Epoch: 35 [7936/46200]	Loss: 0.1253	LR: 0.000800
Training Epoch: 35 [8192/46200]	Loss: 0.1033	LR: 0.000800
Training Epoch: 35 [8448/46200]	Loss: 0.1285	LR: 0.000800
Training Epoch: 35 [8704/46200]	Loss: 0.1287	LR: 0.000800
Training Epoch: 35 [8960/46200]	Loss: 0.1227	LR: 0.000800
Training Epoch: 35 [9216/46200]	Loss: 0.1088	LR: 0.000800
Training Epoch: 35 [9472/46200]	Loss: 0.0799	LR: 0.000800
Training Epoch: 35 [9728/46200]	Loss: 0.1300	LR: 0.000800
Training Epoch: 35 [9984/46200]	Loss: 0.0908	LR: 0.000800
Training Epoch: 35 [10240/46200]	Loss: 0.1185	LR: 0.000800
Training Epoch: 35 [10496/46200]	Loss: 0.1284	LR: 0.000800
Training Epoch: 35 [10752/46200]	Loss: 0.1549	LR: 0.000800
Training Epoch: 35 [11008/46200]	Loss: 0.1716	LR: 0.000800
Training Epoch: 35 [11264/46200]	Loss: 0.1025	LR: 0.000800
Training Epoch: 35 [11520/46200]	Loss: 0.1016	LR: 0.000800
Training Epoch: 35 [11776/46200]	Loss: 0.1258	LR: 0.000800
Training Epoch: 35 [12032/46200]	Loss: 0.1352	LR: 0.000800
Training Epoch: 35 [12288/46200]	Loss: 0.1030	LR: 0.000800
Training Epoch: 35 [12544/46200]	Loss: 0.1857	LR: 0.000800
Training Epoch: 35 [12800/46200]	Loss: 0.1196	LR: 0.000800
Training Epoch: 35 [13056/46200]	Loss: 0.1042	LR: 0.000800
Training Epoch: 35 [13312/46200]	Loss: 0.0892	LR: 0.000800
Training Epoch: 35 [13568/46200]	Loss: 0.1282	LR: 0.000800
Training Epoch: 35 [13824/46200]	Loss: 0.1314	LR: 0.000800
Training Epoch: 35 [14080/46200]	Loss: 0.1068	LR: 0.000800
Training Epoch: 35 [14336/46200]	Loss: 0.1091	LR: 0.000800
Training Epoch: 35 [14592/46200]	Loss: 0.0880	LR: 0.000800
Training Epoch: 35 [14848/46200]	Loss: 0.0855	LR: 0.000800
Training Epoch: 35 [15104/46200]	Loss: 0.1546	LR: 0.000800
Training Epoch: 35 [15360/46200]	Loss: 0.1697	LR: 0.000800
Training Epoch: 35 [15616/46200]	Loss: 0.1581	LR: 0.000800
Training Epoch: 35 [15872/46200]	Loss: 0.1180	LR: 0.000800
Training Epoch: 35 [16128/46200]	Loss: 0.1255	LR: 0.000800
Training Epoch: 35 [16384/46200]	Loss: 0.1153	LR: 0.000800
Training Epoch: 35 [16640/46200]	Loss: 0.0989	LR: 0.000800
Training Epoch: 35 [16896/46200]	Loss: 0.1779	LR: 0.000800
Training Epoch: 35 [17152/46200]	Loss: 0.0949	LR: 0.000800
Training Epoch: 35 [17408/46200]	Loss: 0.1307	LR: 0.000800
Training Epoch: 35 [17664/46200]	Loss: 0.1997	LR: 0.000800
Training Epoch: 35 [17920/46200]	Loss: 0.1386	LR: 0.000800
Training Epoch: 35 [18176/46200]	Loss: 0.0729	LR: 0.000800
Training Epoch: 35 [18432/46200]	Loss: 0.0968	LR: 0.000800
Training Epoch: 35 [18688/46200]	Loss: 0.0753	LR: 0.000800
Training Epoch: 35 [18944/46200]	Loss: 0.1123	LR: 0.000800
Training Epoch: 35 [19200/46200]	Loss: 0.1052	LR: 0.000800
Training Epoch: 35 [19456/46200]	Loss: 0.1012	LR: 0.000800
Training Epoch: 35 [19712/46200]	Loss: 0.0967	LR: 0.000800
Training Epoch: 35 [19968/46200]	Loss: 0.1416	LR: 0.000800
Training Epoch: 35 [20224/46200]	Loss: 0.1335	LR: 0.000800
Training Epoch: 35 [20480/46200]	Loss: 0.1819	LR: 0.000800
Training Epoch: 35 [20736/46200]	Loss: 0.1100	LR: 0.000800
Training Epoch: 35 [20992/46200]	Loss: 0.1619	LR: 0.000800
Training Epoch: 35 [21248/46200]	Loss: 0.1450	LR: 0.000800
Training Epoch: 35 [21504/46200]	Loss: 0.1072	LR: 0.000800
Training Epoch: 35 [21760/46200]	Loss: 0.1239	LR: 0.000800
Training Epoch: 35 [22016/46200]	Loss: 0.1738	LR: 0.000800
Training Epoch: 35 [22272/46200]	Loss: 0.0985	LR: 0.000800
Training Epoch: 35 [22528/46200]	Loss: 0.1378	LR: 0.000800
Training Epoch: 35 [22784/46200]	Loss: 0.1014	LR: 0.000800
Training Epoch: 35 [23040/46200]	Loss: 0.1561	LR: 0.000800
Training Epoch: 35 [23296/46200]	Loss: 0.0891	LR: 0.000800
Training Epoch: 35 [23552/46200]	Loss: 0.1206	LR: 0.000800
Training Epoch: 35 [23808/46200]	Loss: 0.1453	LR: 0.000800
Training Epoch: 35 [24064/46200]	Loss: 0.0968	LR: 0.000800
Training Epoch: 35 [24320/46200]	Loss: 0.0885	LR: 0.000800
Training Epoch: 35 [24576/46200]	Loss: 0.1206	LR: 0.000800
Training Epoch: 35 [24832/46200]	Loss: 0.1165	LR: 0.000800
Training Epoch: 35 [25088/46200]	Loss: 0.1563	LR: 0.000800
Training Epoch: 35 [25344/46200]	Loss: 0.1143	LR: 0.000800
Training Epoch: 35 [25600/46200]	Loss: 0.1076	LR: 0.000800
Training Epoch: 35 [25856/46200]	Loss: 0.1296	LR: 0.000800
Training Epoch: 35 [26112/46200]	Loss: 0.1266	LR: 0.000800
Training Epoch: 35 [26368/46200]	Loss: 0.1326	LR: 0.000800
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Training Epoch: 35 [26880/46200]	Loss: 0.1204	LR: 0.000800
Training Epoch: 35 [27136/46200]	Loss: 0.0878	LR: 0.000800
Training Epoch: 35 [27392/46200]	Loss: 0.0981	LR: 0.000800
Training Epoch: 35 [27648/46200]	Loss: 0.1312	LR: 0.000800
Training Epoch: 35 [27904/46200]	Loss: 0.0911	LR: 0.000800
Training Epoch: 35 [28160/46200]	Loss: 0.0836	LR: 0.000800
Training Epoch: 35 [28416/46200]	Loss: 0.1132	LR: 0.000800
Training Epoch: 35 [28672/46200]	Loss: 0.1240	LR: 0.000800
Training Epoch: 35 [28928/46200]	Loss: 0.1194	LR: 0.000800
Training Epoch: 35 [29184/46200]	Loss: 0.0902	LR: 0.000800
Training Epoch: 35 [29440/46200]	Loss: 0.1091	LR: 0.000800
Training Epoch: 35 [29696/46200]	Loss: 0.1329	LR: 0.000800
Training Epoch: 35 [29952/46200]	Loss: 0.1429	LR: 0.000800
Training Epoch: 35 [30208/46200]	Loss: 0.1542	LR: 0.000800
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Training Epoch: 35 [30720/46200]	Loss: 0.1121	LR: 0.000800
Training Epoch: 35 [30976/46200]	Loss: 0.1326	LR: 0.000800
Training Epoch: 35 [31232/46200]	Loss: 0.1328	LR: 0.000800
Training Epoch: 35 [31488/46200]	Loss: 0.1421	LR: 0.000800
Training Epoch: 35 [31744/46200]	Loss: 0.1262	LR: 0.000800
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Training Epoch: 35 [37888/46200]	Loss: 0.1147	LR: 0.000800
Training Epoch: 35 [38144/46200]	Loss: 0.1086	LR: 0.000800
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Training Epoch: 35 [40448/46200]	Loss: 0.1301	LR: 0.000800
Training Epoch: 35 [40704/46200]	Loss: 0.1221	LR: 0.000800
Training Epoch: 35 [40960/46200]	Loss: 0.1205	LR: 0.000800
Training Epoch: 35 [41216/46200]	Loss: 0.0769	LR: 0.000800
Training Epoch: 35 [41472/46200]	Loss: 0.1243	LR: 0.000800
Training Epoch: 35 [41728/46200]	Loss: 0.1457	LR: 0.000800
Training Epoch: 35 [41984/46200]	Loss: 0.1093	LR: 0.000800
Training Epoch: 35 [42240/46200]	Loss: 0.1360	LR: 0.000800
Training Epoch: 35 [42496/46200]	Loss: 0.1224	LR: 0.000800
Training Epoch: 35 [42752/46200]	Loss: 0.1384	LR: 0.000800
Training Epoch: 35 [43008/46200]	Loss: 0.1118	LR: 0.000800
Training Epoch: 35 [43264/46200]	Loss: 0.1312	LR: 0.000800
Training Epoch: 35 [43520/46200]	Loss: 0.1287	LR: 0.000800
Training Epoch: 35 [43776/46200]	Loss: 0.1183	LR: 0.000800
Training Epoch: 35 [44032/46200]	Loss: 0.1529	LR: 0.000800
Training Epoch: 35 [44288/46200]	Loss: 0.1008	LR: 0.000800
Training Epoch: 35 [44544/46200]	Loss: 0.0971	LR: 0.000800
Training Epoch: 35 [44800/46200]	Loss: 0.1348	LR: 0.000800
Training Epoch: 35 [45056/46200]	Loss: 0.0863	LR: 0.000800
Training Epoch: 35 [45312/46200]	Loss: 0.1376	LR: 0.000800
Training Epoch: 35 [45568/46200]	Loss: 0.1503	LR: 0.000800
Training Epoch: 35 [45824/46200]	Loss: 0.1008	LR: 0.000800
Training Epoch: 35 [46080/46200]	Loss: 0.0921	LR: 0.000800
Training Epoch: 35 [46200/46200]	Loss: 0.1036	LR: 0.000800
Epoch 35 - Average Train Loss: 0.1217, Train Accuracy: 0.9648
Epoch 35 training time consumed: 27.53s
Evaluating Network.....
Test set: Epoch: 35, Average loss: 0.0029, Accuracy: 0.8048, Time consumed:0.91s
Training Epoch: 36 [256/46200]	Loss: 0.1006	LR: 0.000800
Training Epoch: 36 [512/46200]	Loss: 0.1393	LR: 0.000800
Training Epoch: 36 [768/46200]	Loss: 0.1070	LR: 0.000800
Training Epoch: 36 [1024/46200]	Loss: 0.1027	LR: 0.000800
Training Epoch: 36 [1280/46200]	Loss: 0.1418	LR: 0.000800
Training Epoch: 36 [1536/46200]	Loss: 0.1225	LR: 0.000800
Training Epoch: 36 [1792/46200]	Loss: 0.1115	LR: 0.000800
Training Epoch: 36 [2048/46200]	Loss: 0.1069	LR: 0.000800
Training Epoch: 36 [2304/46200]	Loss: 0.1273	LR: 0.000800
Training Epoch: 36 [2560/46200]	Loss: 0.1091	LR: 0.000800
Training Epoch: 36 [2816/46200]	Loss: 0.1162	LR: 0.000800
Training Epoch: 36 [3072/46200]	Loss: 0.1041	LR: 0.000800
Training Epoch: 36 [3328/46200]	Loss: 0.0992	LR: 0.000800
Training Epoch: 36 [3584/46200]	Loss: 0.1187	LR: 0.000800
Training Epoch: 36 [3840/46200]	Loss: 0.1403	LR: 0.000800
Training Epoch: 36 [4096/46200]	Loss: 0.1353	LR: 0.000800
Training Epoch: 36 [4352/46200]	Loss: 0.1421	LR: 0.000800
Training Epoch: 36 [4608/46200]	Loss: 0.0911	LR: 0.000800
Training Epoch: 36 [4864/46200]	Loss: 0.1645	LR: 0.000800
Training Epoch: 36 [5120/46200]	Loss: 0.1009	LR: 0.000800
Training Epoch: 36 [5376/46200]	Loss: 0.0974	LR: 0.000800
Training Epoch: 36 [5632/46200]	Loss: 0.0778	LR: 0.000800
Training Epoch: 36 [5888/46200]	Loss: 0.0982	LR: 0.000800
Training Epoch: 36 [6144/46200]	Loss: 0.1316	LR: 0.000800
Training Epoch: 36 [6400/46200]	Loss: 0.1266	LR: 0.000800
Training Epoch: 36 [6656/46200]	Loss: 0.1197	LR: 0.000800
Training Epoch: 36 [6912/46200]	Loss: 0.1152	LR: 0.000800
Training Epoch: 36 [7168/46200]	Loss: 0.1017	LR: 0.000800
Training Epoch: 36 [7424/46200]	Loss: 0.1391	LR: 0.000800
Training Epoch: 36 [7680/46200]	Loss: 0.1493	LR: 0.000800
Training Epoch: 36 [7936/46200]	Loss: 0.0894	LR: 0.000800
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Training Epoch: 36 [8448/46200]	Loss: 0.0873	LR: 0.000800
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Training Epoch: 36 [8960/46200]	Loss: 0.1145	LR: 0.000800
Training Epoch: 36 [9216/46200]	Loss: 0.1315	LR: 0.000800
Training Epoch: 36 [9472/46200]	Loss: 0.1327	LR: 0.000800
Training Epoch: 36 [9728/46200]	Loss: 0.0885	LR: 0.000800
Training Epoch: 36 [9984/46200]	Loss: 0.1511	LR: 0.000800
Training Epoch: 36 [10240/46200]	Loss: 0.1057	LR: 0.000800
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Training Epoch: 36 [10752/46200]	Loss: 0.0858	LR: 0.000800
Training Epoch: 36 [11008/46200]	Loss: 0.0943	LR: 0.000800
Training Epoch: 36 [11264/46200]	Loss: 0.1217	LR: 0.000800
Training Epoch: 36 [11520/46200]	Loss: 0.1173	LR: 0.000800
Training Epoch: 36 [11776/46200]	Loss: 0.1066	LR: 0.000800
Training Epoch: 36 [12032/46200]	Loss: 0.1148	LR: 0.000800
Training Epoch: 36 [12288/46200]	Loss: 0.1150	LR: 0.000800
Training Epoch: 36 [12544/46200]	Loss: 0.1133	LR: 0.000800
Training Epoch: 36 [12800/46200]	Loss: 0.0904	LR: 0.000800
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Training Epoch: 36 [15360/46200]	Loss: 0.1216	LR: 0.000800
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Training Epoch: 36 [16384/46200]	Loss: 0.1156	LR: 0.000800
Training Epoch: 36 [16640/46200]	Loss: 0.1454	LR: 0.000800
Training Epoch: 36 [16896/46200]	Loss: 0.0646	LR: 0.000800
Training Epoch: 36 [17152/46200]	Loss: 0.1415	LR: 0.000800
Training Epoch: 36 [17408/46200]	Loss: 0.0831	LR: 0.000800
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Training Epoch: 36 [18944/46200]	Loss: 0.1522	LR: 0.000800
Training Epoch: 36 [19200/46200]	Loss: 0.1154	LR: 0.000800
Training Epoch: 36 [19456/46200]	Loss: 0.1333	LR: 0.000800
Training Epoch: 36 [19712/46200]	Loss: 0.1061	LR: 0.000800
Training Epoch: 36 [19968/46200]	Loss: 0.1202	LR: 0.000800
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Training Epoch: 36 [21760/46200]	Loss: 0.1161	LR: 0.000800
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Training Epoch: 36 [22784/46200]	Loss: 0.1045	LR: 0.000800
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Training Epoch: 36 [26112/46200]	Loss: 0.1207	LR: 0.000800
Training Epoch: 36 [26368/46200]	Loss: 0.1590	LR: 0.000800
Training Epoch: 36 [26624/46200]	Loss: 0.0795	LR: 0.000800
Training Epoch: 36 [26880/46200]	Loss: 0.0912	LR: 0.000800
Training Epoch: 36 [27136/46200]	Loss: 0.1250	LR: 0.000800
Training Epoch: 36 [27392/46200]	Loss: 0.1064	LR: 0.000800
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Training Epoch: 36 [27904/46200]	Loss: 0.0907	LR: 0.000800
Training Epoch: 36 [28160/46200]	Loss: 0.1345	LR: 0.000800
Training Epoch: 36 [28416/46200]	Loss: 0.0955	LR: 0.000800
Training Epoch: 36 [28672/46200]	Loss: 0.1202	LR: 0.000800
Training Epoch: 36 [28928/46200]	Loss: 0.1104	LR: 0.000800
Training Epoch: 36 [29184/46200]	Loss: 0.1122	LR: 0.000800
Training Epoch: 36 [29440/46200]	Loss: 0.1189	LR: 0.000800
Training Epoch: 36 [29696/46200]	Loss: 0.1930	LR: 0.000800
Training Epoch: 36 [29952/46200]	Loss: 0.1254	LR: 0.000800
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Training Epoch: 36 [30976/46200]	Loss: 0.1156	LR: 0.000800
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Training Epoch: 36 [40192/46200]	Loss: 0.1155	LR: 0.000800
Training Epoch: 36 [40448/46200]	Loss: 0.1365	LR: 0.000800
Training Epoch: 36 [40704/46200]	Loss: 0.1193	LR: 0.000800
Training Epoch: 36 [40960/46200]	Loss: 0.1373	LR: 0.000800
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Training Epoch: 36 [41472/46200]	Loss: 0.1149	LR: 0.000800
Training Epoch: 36 [41728/46200]	Loss: 0.1064	LR: 0.000800
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Training Epoch: 36 [42240/46200]	Loss: 0.1064	LR: 0.000800
Training Epoch: 36 [42496/46200]	Loss: 0.1045	LR: 0.000800
Training Epoch: 36 [42752/46200]	Loss: 0.1352	LR: 0.000800
Training Epoch: 36 [43008/46200]	Loss: 0.1018	LR: 0.000800
Training Epoch: 36 [43264/46200]	Loss: 0.1224	LR: 0.000800
Training Epoch: 36 [43520/46200]	Loss: 0.0928	LR: 0.000800
Training Epoch: 36 [43776/46200]	Loss: 0.1265	LR: 0.000800
Training Epoch: 36 [44032/46200]	Loss: 0.1354	LR: 0.000800
Training Epoch: 36 [44288/46200]	Loss: 0.1671	LR: 0.000800
Training Epoch: 36 [44544/46200]	Loss: 0.0962	LR: 0.000800
Training Epoch: 36 [44800/46200]	Loss: 0.1252	LR: 0.000800
Training Epoch: 36 [45056/46200]	Loss: 0.1017	LR: 0.000800
Training Epoch: 36 [45312/46200]	Loss: 0.1150	LR: 0.000800
Training Epoch: 36 [45568/46200]	Loss: 0.1267	LR: 0.000800
Training Epoch: 36 [45824/46200]	Loss: 0.1357	LR: 0.000800
Training Epoch: 36 [46080/46200]	Loss: 0.1310	LR: 0.000800
Training Epoch: 36 [46200/46200]	Loss: 0.1112	LR: 0.000800
Epoch 36 - Average Train Loss: 0.1172, Train Accuracy: 0.9661
Epoch 36 training time consumed: 27.45s
Evaluating Network.....
Test set: Epoch: 36, Average loss: 0.0029, Accuracy: 0.8078, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_02h_55m_57s/ResNet18-Cifar20-seed6-ret25-36-best.pth
Training Epoch: 37 [256/46200]	Loss: 0.1282	LR: 0.000800
Training Epoch: 37 [512/46200]	Loss: 0.1214	LR: 0.000800
Training Epoch: 37 [768/46200]	Loss: 0.1055	LR: 0.000800
Training Epoch: 37 [1024/46200]	Loss: 0.1166	LR: 0.000800
Training Epoch: 37 [1280/46200]	Loss: 0.0839	LR: 0.000800
Training Epoch: 37 [1536/46200]	Loss: 0.0917	LR: 0.000800
Training Epoch: 37 [1792/46200]	Loss: 0.1036	LR: 0.000800
Training Epoch: 37 [2048/46200]	Loss: 0.1044	LR: 0.000800
Training Epoch: 37 [2304/46200]	Loss: 0.1301	LR: 0.000800
Training Epoch: 37 [2560/46200]	Loss: 0.1173	LR: 0.000800
Training Epoch: 37 [2816/46200]	Loss: 0.1327	LR: 0.000800
Training Epoch: 37 [3072/46200]	Loss: 0.0829	LR: 0.000800
Training Epoch: 37 [3328/46200]	Loss: 0.0789	LR: 0.000800
Training Epoch: 37 [3584/46200]	Loss: 0.1093	LR: 0.000800
Training Epoch: 37 [3840/46200]	Loss: 0.0885	LR: 0.000800
Training Epoch: 37 [4096/46200]	Loss: 0.1439	LR: 0.000800
Training Epoch: 37 [4352/46200]	Loss: 0.0773	LR: 0.000800
Training Epoch: 37 [4608/46200]	Loss: 0.1609	LR: 0.000800
Training Epoch: 37 [4864/46200]	Loss: 0.0694	LR: 0.000800
Training Epoch: 37 [5120/46200]	Loss: 0.1293	LR: 0.000800
Training Epoch: 37 [5376/46200]	Loss: 0.0944	LR: 0.000800
Training Epoch: 37 [5632/46200]	Loss: 0.1207	LR: 0.000800
Training Epoch: 37 [5888/46200]	Loss: 0.0981	LR: 0.000800
Training Epoch: 37 [6144/46200]	Loss: 0.0994	LR: 0.000800
Training Epoch: 37 [6400/46200]	Loss: 0.1086	LR: 0.000800
Training Epoch: 37 [6656/46200]	Loss: 0.1214	LR: 0.000800
Training Epoch: 37 [6912/46200]	Loss: 0.0968	LR: 0.000800
Training Epoch: 37 [7168/46200]	Loss: 0.1404	LR: 0.000800
Training Epoch: 37 [7424/46200]	Loss: 0.0881	LR: 0.000800
Training Epoch: 37 [7680/46200]	Loss: 0.1294	LR: 0.000800
Training Epoch: 37 [7936/46200]	Loss: 0.1085	LR: 0.000800
Training Epoch: 37 [8192/46200]	Loss: 0.1258	LR: 0.000800
Training Epoch: 37 [8448/46200]	Loss: 0.1198	LR: 0.000800
Training Epoch: 37 [8704/46200]	Loss: 0.0944	LR: 0.000800
Training Epoch: 37 [8960/46200]	Loss: 0.0856	LR: 0.000800
Training Epoch: 37 [9216/46200]	Loss: 0.1404	LR: 0.000800
Training Epoch: 37 [9472/46200]	Loss: 0.1483	LR: 0.000800
Training Epoch: 37 [9728/46200]	Loss: 0.1335	LR: 0.000800
Training Epoch: 37 [9984/46200]	Loss: 0.0729	LR: 0.000800
Training Epoch: 37 [10240/46200]	Loss: 0.0935	LR: 0.000800
Training Epoch: 37 [10496/46200]	Loss: 0.1168	LR: 0.000800
Training Epoch: 37 [10752/46200]	Loss: 0.1336	LR: 0.000800
Training Epoch: 37 [11008/46200]	Loss: 0.1333	LR: 0.000800
Training Epoch: 37 [11264/46200]	Loss: 0.1438	LR: 0.000800
Training Epoch: 37 [11520/46200]	Loss: 0.1502	LR: 0.000800
Training Epoch: 37 [11776/46200]	Loss: 0.0909	LR: 0.000800
Training Epoch: 37 [12032/46200]	Loss: 0.1051	LR: 0.000800
Training Epoch: 37 [12288/46200]	Loss: 0.1004	LR: 0.000800
Training Epoch: 37 [12544/46200]	Loss: 0.1138	LR: 0.000800
Training Epoch: 37 [12800/46200]	Loss: 0.1273	LR: 0.000800
Training Epoch: 37 [13056/46200]	Loss: 0.1217	LR: 0.000800
Training Epoch: 37 [13312/46200]	Loss: 0.1350	LR: 0.000800
Training Epoch: 37 [13568/46200]	Loss: 0.1561	LR: 0.000800
Training Epoch: 37 [13824/46200]	Loss: 0.0998	LR: 0.000800
Training Epoch: 37 [14080/46200]	Loss: 0.1198	LR: 0.000800
Training Epoch: 37 [14336/46200]	Loss: 0.1309	LR: 0.000800
Training Epoch: 37 [14592/46200]	Loss: 0.1018	LR: 0.000800
Training Epoch: 37 [14848/46200]	Loss: 0.1125	LR: 0.000800
Training Epoch: 37 [15104/46200]	Loss: 0.1117	LR: 0.000800
Training Epoch: 37 [15360/46200]	Loss: 0.0645	LR: 0.000800
Training Epoch: 37 [15616/46200]	Loss: 0.0652	LR: 0.000800
Training Epoch: 37 [15872/46200]	Loss: 0.0957	LR: 0.000800
Training Epoch: 37 [16128/46200]	Loss: 0.1314	LR: 0.000800
Training Epoch: 37 [16384/46200]	Loss: 0.0985	LR: 0.000800
Training Epoch: 37 [16640/46200]	Loss: 0.0851	LR: 0.000800
Training Epoch: 37 [16896/46200]	Loss: 0.1406	LR: 0.000800
Training Epoch: 37 [17152/46200]	Loss: 0.0884	LR: 0.000800
Training Epoch: 37 [17408/46200]	Loss: 0.1178	LR: 0.000800
Training Epoch: 37 [17664/46200]	Loss: 0.1132	LR: 0.000800
Training Epoch: 37 [17920/46200]	Loss: 0.1314	LR: 0.000800
Training Epoch: 37 [18176/46200]	Loss: 0.1500	LR: 0.000800
Training Epoch: 37 [18432/46200]	Loss: 0.1063	LR: 0.000800
Training Epoch: 37 [18688/46200]	Loss: 0.0985	LR: 0.000800
Training Epoch: 37 [18944/46200]	Loss: 0.1076	LR: 0.000800
Training Epoch: 37 [19200/46200]	Loss: 0.1099	LR: 0.000800
Training Epoch: 37 [19456/46200]	Loss: 0.1201	LR: 0.000800
Training Epoch: 37 [19712/46200]	Loss: 0.1199	LR: 0.000800
Training Epoch: 37 [19968/46200]	Loss: 0.1123	LR: 0.000800
Training Epoch: 37 [20224/46200]	Loss: 0.1339	LR: 0.000800
Training Epoch: 37 [20480/46200]	Loss: 0.1001	LR: 0.000800
Training Epoch: 37 [20736/46200]	Loss: 0.1399	LR: 0.000800
Training Epoch: 37 [20992/46200]	Loss: 0.1040	LR: 0.000800
Training Epoch: 37 [21248/46200]	Loss: 0.1473	LR: 0.000800
Training Epoch: 37 [21504/46200]	Loss: 0.0787	LR: 0.000800
Training Epoch: 37 [21760/46200]	Loss: 0.0929	LR: 0.000800
Training Epoch: 37 [22016/46200]	Loss: 0.1337	LR: 0.000800
Training Epoch: 37 [22272/46200]	Loss: 0.1109	LR: 0.000800
Training Epoch: 37 [22528/46200]	Loss: 0.1626	LR: 0.000800
Training Epoch: 37 [22784/46200]	Loss: 0.1055	LR: 0.000800
Training Epoch: 37 [23040/46200]	Loss: 0.1077	LR: 0.000800
Training Epoch: 37 [23296/46200]	Loss: 0.1144	LR: 0.000800
Training Epoch: 37 [23552/46200]	Loss: 0.0865	LR: 0.000800
Training Epoch: 37 [23808/46200]	Loss: 0.1314	LR: 0.000800
Training Epoch: 37 [24064/46200]	Loss: 0.0845	LR: 0.000800
Training Epoch: 37 [24320/46200]	Loss: 0.0954	LR: 0.000800
Training Epoch: 37 [24576/46200]	Loss: 0.1166	LR: 0.000800
Training Epoch: 37 [24832/46200]	Loss: 0.1188	LR: 0.000800
Training Epoch: 37 [25088/46200]	Loss: 0.1008	LR: 0.000800
Training Epoch: 37 [25344/46200]	Loss: 0.1207	LR: 0.000800
Training Epoch: 37 [25600/46200]	Loss: 0.0904	LR: 0.000800
Training Epoch: 37 [25856/46200]	Loss: 0.1495	LR: 0.000800
Training Epoch: 37 [26112/46200]	Loss: 0.1518	LR: 0.000800
Training Epoch: 37 [26368/46200]	Loss: 0.1753	LR: 0.000800
Training Epoch: 37 [26624/46200]	Loss: 0.1375	LR: 0.000800
Training Epoch: 37 [26880/46200]	Loss: 0.1115	LR: 0.000800
Training Epoch: 37 [27136/46200]	Loss: 0.1151	LR: 0.000800
Training Epoch: 37 [27392/46200]	Loss: 0.1036	LR: 0.000800
Training Epoch: 37 [27648/46200]	Loss: 0.0859	LR: 0.000800
Training Epoch: 37 [27904/46200]	Loss: 0.0932	LR: 0.000800
Training Epoch: 37 [28160/46200]	Loss: 0.1454	LR: 0.000800
Training Epoch: 37 [28416/46200]	Loss: 0.0933	LR: 0.000800
Training Epoch: 37 [28672/46200]	Loss: 0.1223	LR: 0.000800
Training Epoch: 37 [28928/46200]	Loss: 0.1011	LR: 0.000800
Training Epoch: 37 [29184/46200]	Loss: 0.1388	LR: 0.000800
Training Epoch: 37 [29440/46200]	Loss: 0.1671	LR: 0.000800
Training Epoch: 37 [29696/46200]	Loss: 0.1218	LR: 0.000800
Training Epoch: 37 [29952/46200]	Loss: 0.1602	LR: 0.000800
Training Epoch: 37 [30208/46200]	Loss: 0.0704	LR: 0.000800
Training Epoch: 37 [30464/46200]	Loss: 0.1461	LR: 0.000800
Training Epoch: 37 [30720/46200]	Loss: 0.1414	LR: 0.000800
Training Epoch: 37 [30976/46200]	Loss: 0.0900	LR: 0.000800
Training Epoch: 37 [31232/46200]	Loss: 0.1340	LR: 0.000800
Training Epoch: 37 [31488/46200]	Loss: 0.0882	LR: 0.000800
Training Epoch: 37 [31744/46200]	Loss: 0.1155	LR: 0.000800
Training Epoch: 37 [32000/46200]	Loss: 0.1133	LR: 0.000800
Training Epoch: 37 [32256/46200]	Loss: 0.1043	LR: 0.000800
Training Epoch: 37 [32512/46200]	Loss: 0.0996	LR: 0.000800
Training Epoch: 37 [32768/46200]	Loss: 0.0896	LR: 0.000800
Training Epoch: 37 [33024/46200]	Loss: 0.1037	LR: 0.000800
Training Epoch: 37 [33280/46200]	Loss: 0.0841	LR: 0.000800
Training Epoch: 37 [33536/46200]	Loss: 0.1424	LR: 0.000800
Training Epoch: 37 [33792/46200]	Loss: 0.1180	LR: 0.000800
Training Epoch: 37 [34048/46200]	Loss: 0.1294	LR: 0.000800
Training Epoch: 37 [34304/46200]	Loss: 0.0863	LR: 0.000800
Training Epoch: 37 [34560/46200]	Loss: 0.1093	LR: 0.000800
Training Epoch: 37 [34816/46200]	Loss: 0.1120	LR: 0.000800
Training Epoch: 37 [35072/46200]	Loss: 0.1099	LR: 0.000800
Training Epoch: 37 [35328/46200]	Loss: 0.0900	LR: 0.000800
Training Epoch: 37 [35584/46200]	Loss: 0.1019	LR: 0.000800
Training Epoch: 37 [35840/46200]	Loss: 0.1167	LR: 0.000800
Training Epoch: 37 [36096/46200]	Loss: 0.1266	LR: 0.000800
Training Epoch: 37 [36352/46200]	Loss: 0.0911	LR: 0.000800
Training Epoch: 37 [36608/46200]	Loss: 0.0854	LR: 0.000800
Training Epoch: 37 [36864/46200]	Loss: 0.1061	LR: 0.000800
Training Epoch: 37 [37120/46200]	Loss: 0.0978	LR: 0.000800
Training Epoch: 37 [37376/46200]	Loss: 0.1050	LR: 0.000800
Training Epoch: 37 [37632/46200]	Loss: 0.1287	LR: 0.000800
Training Epoch: 37 [37888/46200]	Loss: 0.1653	LR: 0.000800
Training Epoch: 37 [38144/46200]	Loss: 0.1753	LR: 0.000800
Training Epoch: 37 [38400/46200]	Loss: 0.1219	LR: 0.000800
Training Epoch: 37 [38656/46200]	Loss: 0.1099	LR: 0.000800
Training Epoch: 37 [38912/46200]	Loss: 0.1617	LR: 0.000800
Training Epoch: 37 [39168/46200]	Loss: 0.1377	LR: 0.000800
Training Epoch: 37 [39424/46200]	Loss: 0.1278	LR: 0.000800
Training Epoch: 37 [39680/46200]	Loss: 0.1188	LR: 0.000800
Training Epoch: 37 [39936/46200]	Loss: 0.1336	LR: 0.000800
Training Epoch: 37 [40192/46200]	Loss: 0.1044	LR: 0.000800
Training Epoch: 37 [40448/46200]	Loss: 0.1108	LR: 0.000800
Training Epoch: 37 [40704/46200]	Loss: 0.1112	LR: 0.000800
Training Epoch: 37 [40960/46200]	Loss: 0.0985	LR: 0.000800
Training Epoch: 37 [41216/46200]	Loss: 0.0946	LR: 0.000800
Training Epoch: 37 [41472/46200]	Loss: 0.0837	LR: 0.000800
Training Epoch: 37 [41728/46200]	Loss: 0.1142	LR: 0.000800
Training Epoch: 37 [41984/46200]	Loss: 0.1372	LR: 0.000800
Training Epoch: 37 [42240/46200]	Loss: 0.0863	LR: 0.000800
Training Epoch: 37 [42496/46200]	Loss: 0.0897	LR: 0.000800
Training Epoch: 37 [42752/46200]	Loss: 0.0973	LR: 0.000800
Training Epoch: 37 [43008/46200]	Loss: 0.0834	LR: 0.000800
Training Epoch: 37 [43264/46200]	Loss: 0.0894	LR: 0.000800
Training Epoch: 37 [43520/46200]	Loss: 0.1314	LR: 0.000800
Training Epoch: 37 [43776/46200]	Loss: 0.0882	LR: 0.000800
Training Epoch: 37 [44032/46200]	Loss: 0.0871	LR: 0.000800
Training Epoch: 37 [44288/46200]	Loss: 0.0790	LR: 0.000800
Training Epoch: 37 [44544/46200]	Loss: 0.1097	LR: 0.000800
Training Epoch: 37 [44800/46200]	Loss: 0.0874	LR: 0.000800
Training Epoch: 37 [45056/46200]	Loss: 0.0862	LR: 0.000800
Training Epoch: 37 [45312/46200]	Loss: 0.1132	LR: 0.000800
Training Epoch: 37 [45568/46200]	Loss: 0.1274	LR: 0.000800
Training Epoch: 37 [45824/46200]	Loss: 0.1472	LR: 0.000800
Training Epoch: 37 [46080/46200]	Loss: 0.1091	LR: 0.000800
Training Epoch: 37 [46200/46200]	Loss: 0.1796	LR: 0.000800
Epoch 37 - Average Train Loss: 0.1133, Train Accuracy: 0.9672
Epoch 37 training time consumed: 27.90s
Evaluating Network.....
Test set: Epoch: 37, Average loss: 0.0029, Accuracy: 0.8060, Time consumed:0.97s
Training Epoch: 38 [256/46200]	Loss: 0.1290	LR: 0.000800
Training Epoch: 38 [512/46200]	Loss: 0.1358	LR: 0.000800
Training Epoch: 38 [768/46200]	Loss: 0.1176	LR: 0.000800
Training Epoch: 38 [1024/46200]	Loss: 0.0988	LR: 0.000800
Training Epoch: 38 [1280/46200]	Loss: 0.0994	LR: 0.000800
Training Epoch: 38 [1536/46200]	Loss: 0.1293	LR: 0.000800
Training Epoch: 38 [1792/46200]	Loss: 0.1174	LR: 0.000800
Training Epoch: 38 [2048/46200]	Loss: 0.1106	LR: 0.000800
Training Epoch: 38 [2304/46200]	Loss: 0.1166	LR: 0.000800
Training Epoch: 38 [2560/46200]	Loss: 0.1380	LR: 0.000800
Training Epoch: 38 [2816/46200]	Loss: 0.1079	LR: 0.000800
Training Epoch: 38 [3072/46200]	Loss: 0.1006	LR: 0.000800
Training Epoch: 38 [3328/46200]	Loss: 0.1099	LR: 0.000800
Training Epoch: 38 [3584/46200]	Loss: 0.1127	LR: 0.000800
Training Epoch: 38 [3840/46200]	Loss: 0.1343	LR: 0.000800
Training Epoch: 38 [4096/46200]	Loss: 0.1033	LR: 0.000800
Training Epoch: 38 [4352/46200]	Loss: 0.0889	LR: 0.000800
Training Epoch: 38 [4608/46200]	Loss: 0.1307	LR: 0.000800
Training Epoch: 38 [4864/46200]	Loss: 0.1084	LR: 0.000800
Training Epoch: 38 [5120/46200]	Loss: 0.1310	LR: 0.000800
Training Epoch: 38 [5376/46200]	Loss: 0.1181	LR: 0.000800
Training Epoch: 38 [5632/46200]	Loss: 0.1215	LR: 0.000800
Training Epoch: 38 [5888/46200]	Loss: 0.0899	LR: 0.000800
Training Epoch: 38 [6144/46200]	Loss: 0.0956	LR: 0.000800
Training Epoch: 38 [6400/46200]	Loss: 0.1081	LR: 0.000800
Training Epoch: 38 [6656/46200]	Loss: 0.0818	LR: 0.000800
Training Epoch: 38 [6912/46200]	Loss: 0.0870	LR: 0.000800
Training Epoch: 38 [7168/46200]	Loss: 0.0800	LR: 0.000800
Training Epoch: 38 [7424/46200]	Loss: 0.0776	LR: 0.000800
Training Epoch: 38 [7680/46200]	Loss: 0.1294	LR: 0.000800
Training Epoch: 38 [7936/46200]	Loss: 0.0998	LR: 0.000800
Training Epoch: 38 [8192/46200]	Loss: 0.1041	LR: 0.000800
Training Epoch: 38 [8448/46200]	Loss: 0.1054	LR: 0.000800
Training Epoch: 38 [8704/46200]	Loss: 0.1218	LR: 0.000800
Training Epoch: 38 [8960/46200]	Loss: 0.1173	LR: 0.000800
Training Epoch: 38 [9216/46200]	Loss: 0.0824	LR: 0.000800
Training Epoch: 38 [9472/46200]	Loss: 0.1070	LR: 0.000800
Training Epoch: 38 [9728/46200]	Loss: 0.1442	LR: 0.000800
Training Epoch: 38 [9984/46200]	Loss: 0.1321	LR: 0.000800
Training Epoch: 38 [10240/46200]	Loss: 0.1074	LR: 0.000800
Training Epoch: 38 [10496/46200]	Loss: 0.0875	LR: 0.000800
Training Epoch: 38 [10752/46200]	Loss: 0.0866	LR: 0.000800
Training Epoch: 38 [11008/46200]	Loss: 0.0857	LR: 0.000800
Training Epoch: 38 [11264/46200]	Loss: 0.0920	LR: 0.000800
Training Epoch: 38 [11520/46200]	Loss: 0.1043	LR: 0.000800
Training Epoch: 38 [11776/46200]	Loss: 0.1230	LR: 0.000800
Training Epoch: 38 [12032/46200]	Loss: 0.0838	LR: 0.000800
Training Epoch: 38 [12288/46200]	Loss: 0.1163	LR: 0.000800
Training Epoch: 38 [12544/46200]	Loss: 0.1018	LR: 0.000800
Training Epoch: 38 [12800/46200]	Loss: 0.1556	LR: 0.000800
Training Epoch: 38 [13056/46200]	Loss: 0.1184	LR: 0.000800
Training Epoch: 38 [13312/46200]	Loss: 0.1439	LR: 0.000800
Training Epoch: 38 [13568/46200]	Loss: 0.0756	LR: 0.000800
Training Epoch: 38 [13824/46200]	Loss: 0.0805	LR: 0.000800
Training Epoch: 38 [14080/46200]	Loss: 0.1339	LR: 0.000800
Training Epoch: 38 [14336/46200]	Loss: 0.0971	LR: 0.000800
Training Epoch: 38 [14592/46200]	Loss: 0.0991	LR: 0.000800
Training Epoch: 38 [14848/46200]	Loss: 0.1168	LR: 0.000800
Training Epoch: 38 [15104/46200]	Loss: 0.0922	LR: 0.000800
Training Epoch: 38 [15360/46200]	Loss: 0.1525	LR: 0.000800
Training Epoch: 38 [15616/46200]	Loss: 0.0904	LR: 0.000800
Training Epoch: 38 [15872/46200]	Loss: 0.0878	LR: 0.000800
Training Epoch: 38 [16128/46200]	Loss: 0.0982	LR: 0.000800
Training Epoch: 38 [16384/46200]	Loss: 0.1485	LR: 0.000800
Training Epoch: 38 [16640/46200]	Loss: 0.1222	LR: 0.000800
Training Epoch: 38 [16896/46200]	Loss: 0.0996	LR: 0.000800
Training Epoch: 38 [17152/46200]	Loss: 0.1128	LR: 0.000800
Training Epoch: 38 [17408/46200]	Loss: 0.1283	LR: 0.000800
Training Epoch: 38 [17664/46200]	Loss: 0.0789	LR: 0.000800
Training Epoch: 38 [17920/46200]	Loss: 0.1142	LR: 0.000800
Training Epoch: 38 [18176/46200]	Loss: 0.1118	LR: 0.000800
Training Epoch: 38 [18432/46200]	Loss: 0.1352	LR: 0.000800
Training Epoch: 38 [18688/46200]	Loss: 0.1346	LR: 0.000800
Training Epoch: 38 [18944/46200]	Loss: 0.1272	LR: 0.000800
Training Epoch: 38 [19200/46200]	Loss: 0.1183	LR: 0.000800
Training Epoch: 38 [19456/46200]	Loss: 0.1210	LR: 0.000800
Training Epoch: 38 [19712/46200]	Loss: 0.1140	LR: 0.000800
Training Epoch: 38 [19968/46200]	Loss: 0.0966	LR: 0.000800
Training Epoch: 38 [20224/46200]	Loss: 0.0744	LR: 0.000800
Training Epoch: 38 [20480/46200]	Loss: 0.1348	LR: 0.000800
Training Epoch: 38 [20736/46200]	Loss: 0.1246	LR: 0.000800
Training Epoch: 38 [20992/46200]	Loss: 0.1195	LR: 0.000800
Training Epoch: 38 [21248/46200]	Loss: 0.0947	LR: 0.000800
Training Epoch: 38 [21504/46200]	Loss: 0.0752	LR: 0.000800
Training Epoch: 38 [21760/46200]	Loss: 0.1007	LR: 0.000800
Training Epoch: 38 [22016/46200]	Loss: 0.0921	LR: 0.000800
Training Epoch: 38 [22272/46200]	Loss: 0.1294	LR: 0.000800
Training Epoch: 38 [22528/46200]	Loss: 0.0904	LR: 0.000800
Training Epoch: 38 [22784/46200]	Loss: 0.1182	LR: 0.000800
Training Epoch: 38 [23040/46200]	Loss: 0.1281	LR: 0.000800
Training Epoch: 38 [23296/46200]	Loss: 0.0819	LR: 0.000800
Training Epoch: 38 [23552/46200]	Loss: 0.0892	LR: 0.000800
Training Epoch: 38 [23808/46200]	Loss: 0.1108	LR: 0.000800
Training Epoch: 38 [24064/46200]	Loss: 0.1039	LR: 0.000800
Training Epoch: 38 [24320/46200]	Loss: 0.1485	LR: 0.000800
Training Epoch: 38 [24576/46200]	Loss: 0.1628	LR: 0.000800
Training Epoch: 38 [24832/46200]	Loss: 0.1403	LR: 0.000800
Training Epoch: 38 [25088/46200]	Loss: 0.0989	LR: 0.000800
Training Epoch: 38 [25344/46200]	Loss: 0.1294	LR: 0.000800
Training Epoch: 38 [25600/46200]	Loss: 0.1384	LR: 0.000800
Training Epoch: 38 [25856/46200]	Loss: 0.1283	LR: 0.000800
Training Epoch: 38 [26112/46200]	Loss: 0.1036	LR: 0.000800
Training Epoch: 38 [26368/46200]	Loss: 0.1192	LR: 0.000800
Training Epoch: 38 [26624/46200]	Loss: 0.0838	LR: 0.000800
Training Epoch: 38 [26880/46200]	Loss: 0.0923	LR: 0.000800
Training Epoch: 38 [27136/46200]	Loss: 0.1035	LR: 0.000800
Training Epoch: 38 [27392/46200]	Loss: 0.1200	LR: 0.000800
Training Epoch: 38 [27648/46200]	Loss: 0.0800	LR: 0.000800
Training Epoch: 38 [27904/46200]	Loss: 0.1073	LR: 0.000800
Training Epoch: 38 [28160/46200]	Loss: 0.0799	LR: 0.000800
Training Epoch: 38 [28416/46200]	Loss: 0.1087	LR: 0.000800
Training Epoch: 38 [28672/46200]	Loss: 0.0823	LR: 0.000800
Training Epoch: 38 [28928/46200]	Loss: 0.0751	LR: 0.000800
Training Epoch: 38 [29184/46200]	Loss: 0.0910	LR: 0.000800
Training Epoch: 38 [29440/46200]	Loss: 0.0914	LR: 0.000800
Training Epoch: 38 [29696/46200]	Loss: 0.0869	LR: 0.000800
Training Epoch: 38 [29952/46200]	Loss: 0.1314	LR: 0.000800
Training Epoch: 38 [30208/46200]	Loss: 0.1131	LR: 0.000800
Training Epoch: 38 [30464/46200]	Loss: 0.1407	LR: 0.000800
Training Epoch: 38 [30720/46200]	Loss: 0.0968	LR: 0.000800
Training Epoch: 38 [30976/46200]	Loss: 0.1259	LR: 0.000800
Training Epoch: 38 [31232/46200]	Loss: 0.1016	LR: 0.000800
Training Epoch: 38 [31488/46200]	Loss: 0.1507	LR: 0.000800
Training Epoch: 38 [31744/46200]	Loss: 0.1159	LR: 0.000800
Training Epoch: 38 [32000/46200]	Loss: 0.1210	LR: 0.000800
Training Epoch: 38 [32256/46200]	Loss: 0.1097	LR: 0.000800
Training Epoch: 38 [32512/46200]	Loss: 0.1260	LR: 0.000800
Training Epoch: 38 [32768/46200]	Loss: 0.1420	LR: 0.000800
Training Epoch: 38 [33024/46200]	Loss: 0.1086	LR: 0.000800
Training Epoch: 38 [33280/46200]	Loss: 0.0936	LR: 0.000800
Training Epoch: 38 [33536/46200]	Loss: 0.1036	LR: 0.000800
Training Epoch: 38 [33792/46200]	Loss: 0.0880	LR: 0.000800
Training Epoch: 38 [34048/46200]	Loss: 0.1192	LR: 0.000800
Training Epoch: 38 [34304/46200]	Loss: 0.1393	LR: 0.000800
Training Epoch: 38 [34560/46200]	Loss: 0.1277	LR: 0.000800
Training Epoch: 38 [34816/46200]	Loss: 0.1170	LR: 0.000800
Training Epoch: 38 [35072/46200]	Loss: 0.1180	LR: 0.000800
Training Epoch: 38 [35328/46200]	Loss: 0.0867	LR: 0.000800
Training Epoch: 38 [35584/46200]	Loss: 0.1245	LR: 0.000800
Training Epoch: 38 [35840/46200]	Loss: 0.1452	LR: 0.000800
Training Epoch: 38 [36096/46200]	Loss: 0.1245	LR: 0.000800
Training Epoch: 38 [36352/46200]	Loss: 0.1377	LR: 0.000800
Training Epoch: 38 [36608/46200]	Loss: 0.1193	LR: 0.000800
Training Epoch: 38 [36864/46200]	Loss: 0.0753	LR: 0.000800
Training Epoch: 38 [37120/46200]	Loss: 0.1461	LR: 0.000800
Training Epoch: 38 [37376/46200]	Loss: 0.0653	LR: 0.000800
Training Epoch: 38 [37632/46200]	Loss: 0.0871	LR: 0.000800
Training Epoch: 38 [37888/46200]	Loss: 0.1436	LR: 0.000800
Training Epoch: 38 [38144/46200]	Loss: 0.1007	LR: 0.000800
Training Epoch: 38 [38400/46200]	Loss: 0.0976	LR: 0.000800
Training Epoch: 38 [38656/46200]	Loss: 0.1360	LR: 0.000800
Training Epoch: 38 [38912/46200]	Loss: 0.1108	LR: 0.000800
Training Epoch: 38 [39168/46200]	Loss: 0.1547	LR: 0.000800
Training Epoch: 38 [39424/46200]	Loss: 0.1356	LR: 0.000800
Training Epoch: 38 [39680/46200]	Loss: 0.1068	LR: 0.000800
Training Epoch: 38 [39936/46200]	Loss: 0.1569	LR: 0.000800
Training Epoch: 38 [40192/46200]	Loss: 0.0828	LR: 0.000800
Training Epoch: 38 [40448/46200]	Loss: 0.1154	LR: 0.000800
Training Epoch: 38 [40704/46200]	Loss: 0.1318	LR: 0.000800
Training Epoch: 38 [40960/46200]	Loss: 0.1173	LR: 0.000800
Training Epoch: 38 [41216/46200]	Loss: 0.1331	LR: 0.000800
Training Epoch: 38 [41472/46200]	Loss: 0.1152	LR: 0.000800
Training Epoch: 38 [41728/46200]	Loss: 0.0908	LR: 0.000800
Training Epoch: 38 [41984/46200]	Loss: 0.1312	LR: 0.000800
Training Epoch: 38 [42240/46200]	Loss: 0.1393	LR: 0.000800
Training Epoch: 38 [42496/46200]	Loss: 0.1076	LR: 0.000800
Training Epoch: 38 [42752/46200]	Loss: 0.1320	LR: 0.000800
Training Epoch: 38 [43008/46200]	Loss: 0.1394	LR: 0.000800
Training Epoch: 38 [43264/46200]	Loss: 0.0758	LR: 0.000800
Training Epoch: 38 [43520/46200]	Loss: 0.1400	LR: 0.000800
Training Epoch: 38 [43776/46200]	Loss: 0.1228	LR: 0.000800
Training Epoch: 38 [44032/46200]	Loss: 0.0953	LR: 0.000800
Training Epoch: 38 [44288/46200]	Loss: 0.1232	LR: 0.000800
Training Epoch: 38 [44544/46200]	Loss: 0.1213	LR: 0.000800
Training Epoch: 38 [44800/46200]	Loss: 0.1286	LR: 0.000800
Training Epoch: 38 [45056/46200]	Loss: 0.1057	LR: 0.000800
Training Epoch: 38 [45312/46200]	Loss: 0.1134	LR: 0.000800
Training Epoch: 38 [45568/46200]	Loss: 0.0832	LR: 0.000800
Training Epoch: 38 [45824/46200]	Loss: 0.1353	LR: 0.000800
Training Epoch: 38 [46080/46200]	Loss: 0.0907	LR: 0.000800
Training Epoch: 38 [46200/46200]	Loss: 0.0757	LR: 0.000800
Epoch 38 - Average Train Loss: 0.1120, Train Accuracy: 0.9680
Epoch 38 training time consumed: 27.56s
Evaluating Network.....
Test set: Epoch: 38, Average loss: 0.0029, Accuracy: 0.8064, Time consumed:0.88s
Training Epoch: 39 [256/46200]	Loss: 0.1295	LR: 0.000800
Training Epoch: 39 [512/46200]	Loss: 0.1020	LR: 0.000800
Training Epoch: 39 [768/46200]	Loss: 0.0938	LR: 0.000800
Training Epoch: 39 [1024/46200]	Loss: 0.1387	LR: 0.000800
Training Epoch: 39 [1280/46200]	Loss: 0.1288	LR: 0.000800
Training Epoch: 39 [1536/46200]	Loss: 0.1473	LR: 0.000800
Training Epoch: 39 [1792/46200]	Loss: 0.1367	LR: 0.000800
Training Epoch: 39 [2048/46200]	Loss: 0.0878	LR: 0.000800
Training Epoch: 39 [2304/46200]	Loss: 0.1578	LR: 0.000800
Training Epoch: 39 [2560/46200]	Loss: 0.0983	LR: 0.000800
Training Epoch: 39 [2816/46200]	Loss: 0.0885	LR: 0.000800
Training Epoch: 39 [3072/46200]	Loss: 0.1109	LR: 0.000800
Training Epoch: 39 [3328/46200]	Loss: 0.0960	LR: 0.000800
Training Epoch: 39 [3584/46200]	Loss: 0.1018	LR: 0.000800
Training Epoch: 39 [3840/46200]	Loss: 0.1007	LR: 0.000800
Training Epoch: 39 [4096/46200]	Loss: 0.1319	LR: 0.000800
Training Epoch: 39 [4352/46200]	Loss: 0.1142	LR: 0.000800
Training Epoch: 39 [4608/46200]	Loss: 0.1351	LR: 0.000800
Training Epoch: 39 [4864/46200]	Loss: 0.1215	LR: 0.000800
Training Epoch: 39 [5120/46200]	Loss: 0.0846	LR: 0.000800
Training Epoch: 39 [5376/46200]	Loss: 0.1295	LR: 0.000800
Training Epoch: 39 [5632/46200]	Loss: 0.1215	LR: 0.000800
Training Epoch: 39 [5888/46200]	Loss: 0.1579	LR: 0.000800
Training Epoch: 39 [6144/46200]	Loss: 0.1145	LR: 0.000800
Training Epoch: 39 [6400/46200]	Loss: 0.1489	LR: 0.000800
Training Epoch: 39 [6656/46200]	Loss: 0.0765	LR: 0.000800
Training Epoch: 39 [6912/46200]	Loss: 0.0869	LR: 0.000800
Training Epoch: 39 [7168/46200]	Loss: 0.1146	LR: 0.000800
Training Epoch: 39 [7424/46200]	Loss: 0.0964	LR: 0.000800
Training Epoch: 39 [7680/46200]	Loss: 0.0678	LR: 0.000800
Training Epoch: 39 [7936/46200]	Loss: 0.1058	LR: 0.000800
Training Epoch: 39 [8192/46200]	Loss: 0.1348	LR: 0.000800
Training Epoch: 39 [8448/46200]	Loss: 0.1306	LR: 0.000800
Training Epoch: 39 [8704/46200]	Loss: 0.0869	LR: 0.000800
Training Epoch: 39 [8960/46200]	Loss: 0.1113	LR: 0.000800
Training Epoch: 39 [9216/46200]	Loss: 0.1397	LR: 0.000800
Training Epoch: 39 [9472/46200]	Loss: 0.1065	LR: 0.000800
Training Epoch: 39 [9728/46200]	Loss: 0.1327	LR: 0.000800
Training Epoch: 39 [9984/46200]	Loss: 0.1084	LR: 0.000800
Training Epoch: 39 [10240/46200]	Loss: 0.1041	LR: 0.000800
Training Epoch: 39 [10496/46200]	Loss: 0.1336	LR: 0.000800
Training Epoch: 39 [10752/46200]	Loss: 0.1582	LR: 0.000800
Training Epoch: 39 [11008/46200]	Loss: 0.1306	LR: 0.000800
Training Epoch: 39 [11264/46200]	Loss: 0.1069	LR: 0.000800
Training Epoch: 39 [11520/46200]	Loss: 0.1016	LR: 0.000800
Training Epoch: 39 [11776/46200]	Loss: 0.0938	LR: 0.000800
Training Epoch: 39 [12032/46200]	Loss: 0.1132	LR: 0.000800
Training Epoch: 39 [12288/46200]	Loss: 0.1412	LR: 0.000800
Training Epoch: 39 [12544/46200]	Loss: 0.1200	LR: 0.000800
Training Epoch: 39 [12800/46200]	Loss: 0.1132	LR: 0.000800
Training Epoch: 39 [13056/46200]	Loss: 0.1236	LR: 0.000800
Training Epoch: 39 [13312/46200]	Loss: 0.0902	LR: 0.000800
Training Epoch: 39 [13568/46200]	Loss: 0.1054	LR: 0.000800
Training Epoch: 39 [13824/46200]	Loss: 0.1009	LR: 0.000800
Training Epoch: 39 [14080/46200]	Loss: 0.1204	LR: 0.000800
Training Epoch: 39 [14336/46200]	Loss: 0.1319	LR: 0.000800
Training Epoch: 39 [14592/46200]	Loss: 0.0991	LR: 0.000800
Training Epoch: 39 [14848/46200]	Loss: 0.0971	LR: 0.000800
Training Epoch: 39 [15104/46200]	Loss: 0.1082	LR: 0.000800
Training Epoch: 39 [15360/46200]	Loss: 0.0908	LR: 0.000800
Training Epoch: 39 [15616/46200]	Loss: 0.1213	LR: 0.000800
Training Epoch: 39 [15872/46200]	Loss: 0.1209	LR: 0.000800
Training Epoch: 39 [16128/46200]	Loss: 0.1262	LR: 0.000800
Training Epoch: 39 [16384/46200]	Loss: 0.0970	LR: 0.000800
Training Epoch: 39 [16640/46200]	Loss: 0.0743	LR: 0.000800
Training Epoch: 39 [16896/46200]	Loss: 0.1450	LR: 0.000800
Training Epoch: 39 [17152/46200]	Loss: 0.1086	LR: 0.000800
Training Epoch: 39 [17408/46200]	Loss: 0.1079	LR: 0.000800
Training Epoch: 39 [17664/46200]	Loss: 0.1140	LR: 0.000800
Training Epoch: 39 [17920/46200]	Loss: 0.1321	LR: 0.000800
Training Epoch: 39 [18176/46200]	Loss: 0.1245	LR: 0.000800
Training Epoch: 39 [18432/46200]	Loss: 0.1449	LR: 0.000800
Training Epoch: 39 [18688/46200]	Loss: 0.0975	LR: 0.000800
Training Epoch: 39 [18944/46200]	Loss: 0.1183	LR: 0.000800
Training Epoch: 39 [19200/46200]	Loss: 0.1181	LR: 0.000800
Training Epoch: 39 [19456/46200]	Loss: 0.1088	LR: 0.000800
Training Epoch: 39 [19712/46200]	Loss: 0.1335	LR: 0.000800
Training Epoch: 39 [19968/46200]	Loss: 0.1033	LR: 0.000800
Training Epoch: 39 [20224/46200]	Loss: 0.1125	LR: 0.000800
Training Epoch: 39 [20480/46200]	Loss: 0.1363	LR: 0.000800
Training Epoch: 39 [20736/46200]	Loss: 0.1113	LR: 0.000800
Training Epoch: 39 [20992/46200]	Loss: 0.1141	LR: 0.000800
Training Epoch: 39 [21248/46200]	Loss: 0.0858	LR: 0.000800
Training Epoch: 39 [21504/46200]	Loss: 0.0979	LR: 0.000800
Training Epoch: 39 [21760/46200]	Loss: 0.0878	LR: 0.000800
Training Epoch: 39 [22016/46200]	Loss: 0.1201	LR: 0.000800
Training Epoch: 39 [22272/46200]	Loss: 0.1186	LR: 0.000800
Training Epoch: 39 [22528/46200]	Loss: 0.1289	LR: 0.000800
Training Epoch: 39 [22784/46200]	Loss: 0.1126	LR: 0.000800
Training Epoch: 39 [23040/46200]	Loss: 0.1157	LR: 0.000800
Training Epoch: 39 [23296/46200]	Loss: 0.1353	LR: 0.000800
Training Epoch: 39 [23552/46200]	Loss: 0.0984	LR: 0.000800
Training Epoch: 39 [23808/46200]	Loss: 0.0987	LR: 0.000800
Training Epoch: 39 [24064/46200]	Loss: 0.0799	LR: 0.000800
Training Epoch: 39 [24320/46200]	Loss: 0.1033	LR: 0.000800
Training Epoch: 39 [24576/46200]	Loss: 0.1354	LR: 0.000800
Training Epoch: 39 [24832/46200]	Loss: 0.1460	LR: 0.000800
Training Epoch: 39 [25088/46200]	Loss: 0.1134	LR: 0.000800
Training Epoch: 39 [25344/46200]	Loss: 0.1190	LR: 0.000800
Training Epoch: 39 [25600/46200]	Loss: 0.1427	LR: 0.000800
Training Epoch: 39 [25856/46200]	Loss: 0.1316	LR: 0.000800
Training Epoch: 39 [26112/46200]	Loss: 0.0659	LR: 0.000800
Training Epoch: 39 [26368/46200]	Loss: 0.0779	LR: 0.000800
Training Epoch: 39 [26624/46200]	Loss: 0.0998	LR: 0.000800
Training Epoch: 39 [26880/46200]	Loss: 0.1273	LR: 0.000800
Training Epoch: 39 [27136/46200]	Loss: 0.1088	LR: 0.000800
Training Epoch: 39 [27392/46200]	Loss: 0.1070	LR: 0.000800
Training Epoch: 39 [27648/46200]	Loss: 0.0983	LR: 0.000800
Training Epoch: 39 [27904/46200]	Loss: 0.1030	LR: 0.000800
Training Epoch: 39 [28160/46200]	Loss: 0.0864	LR: 0.000800
Training Epoch: 39 [28416/46200]	Loss: 0.1088	LR: 0.000800
Training Epoch: 39 [28672/46200]	Loss: 0.0686	LR: 0.000800
Training Epoch: 39 [28928/46200]	Loss: 0.1082	LR: 0.000800
Training Epoch: 39 [29184/46200]	Loss: 0.0966	LR: 0.000800
Training Epoch: 39 [29440/46200]	Loss: 0.1160	LR: 0.000800
Training Epoch: 39 [29696/46200]	Loss: 0.1023	LR: 0.000800
Training Epoch: 39 [29952/46200]	Loss: 0.1032	LR: 0.000800
Training Epoch: 39 [30208/46200]	Loss: 0.1119	LR: 0.000800
Training Epoch: 39 [30464/46200]	Loss: 0.0986	LR: 0.000800
Training Epoch: 39 [30720/46200]	Loss: 0.0892	LR: 0.000800
Training Epoch: 39 [30976/46200]	Loss: 0.1208	LR: 0.000800
Training Epoch: 39 [31232/46200]	Loss: 0.1135	LR: 0.000800
Training Epoch: 39 [31488/46200]	Loss: 0.1038	LR: 0.000800
Training Epoch: 39 [31744/46200]	Loss: 0.0986	LR: 0.000800
Training Epoch: 39 [32000/46200]	Loss: 0.1260	LR: 0.000800
Training Epoch: 39 [32256/46200]	Loss: 0.1045	LR: 0.000800
Training Epoch: 39 [32512/46200]	Loss: 0.0921	LR: 0.000800
Training Epoch: 39 [32768/46200]	Loss: 0.0867	LR: 0.000800
Training Epoch: 39 [33024/46200]	Loss: 0.1015	LR: 0.000800
Training Epoch: 39 [33280/46200]	Loss: 0.0961	LR: 0.000800
Training Epoch: 39 [33536/46200]	Loss: 0.1108	LR: 0.000800
Training Epoch: 39 [33792/46200]	Loss: 0.0972	LR: 0.000800
Training Epoch: 39 [34048/46200]	Loss: 0.0932	LR: 0.000800
Training Epoch: 39 [34304/46200]	Loss: 0.0835	LR: 0.000800
Training Epoch: 39 [34560/46200]	Loss: 0.1487	LR: 0.000800
Training Epoch: 39 [34816/46200]	Loss: 0.0871	LR: 0.000800
Training Epoch: 39 [35072/46200]	Loss: 0.1043	LR: 0.000800
Training Epoch: 39 [35328/46200]	Loss: 0.1239	LR: 0.000800
Training Epoch: 39 [35584/46200]	Loss: 0.1205	LR: 0.000800
Training Epoch: 39 [35840/46200]	Loss: 0.0855	LR: 0.000800
Training Epoch: 39 [36096/46200]	Loss: 0.1175	LR: 0.000800
Training Epoch: 39 [36352/46200]	Loss: 0.1398	LR: 0.000800
Training Epoch: 39 [36608/46200]	Loss: 0.1149	LR: 0.000800
Training Epoch: 39 [36864/46200]	Loss: 0.0826	LR: 0.000800
Training Epoch: 39 [37120/46200]	Loss: 0.1119	LR: 0.000800
Training Epoch: 39 [37376/46200]	Loss: 0.1286	LR: 0.000800
Training Epoch: 39 [37632/46200]	Loss: 0.1079	LR: 0.000800
Training Epoch: 39 [37888/46200]	Loss: 0.0752	LR: 0.000800
Training Epoch: 39 [38144/46200]	Loss: 0.0954	LR: 0.000800
Training Epoch: 39 [38400/46200]	Loss: 0.0751	LR: 0.000800
Training Epoch: 39 [38656/46200]	Loss: 0.1078	LR: 0.000800
Training Epoch: 39 [38912/46200]	Loss: 0.1284	LR: 0.000800
Training Epoch: 39 [39168/46200]	Loss: 0.1104	LR: 0.000800
Training Epoch: 39 [39424/46200]	Loss: 0.1046	LR: 0.000800
Training Epoch: 39 [39680/46200]	Loss: 0.1128	LR: 0.000800
Training Epoch: 39 [39936/46200]	Loss: 0.0929	LR: 0.000800
Training Epoch: 39 [40192/46200]	Loss: 0.1070	LR: 0.000800
Training Epoch: 39 [40448/46200]	Loss: 0.1103	LR: 0.000800
Training Epoch: 39 [40704/46200]	Loss: 0.1156	LR: 0.000800
Training Epoch: 39 [40960/46200]	Loss: 0.1419	LR: 0.000800
Training Epoch: 39 [41216/46200]	Loss: 0.1093	LR: 0.000800
Training Epoch: 39 [41472/46200]	Loss: 0.1127	LR: 0.000800
Training Epoch: 39 [41728/46200]	Loss: 0.1749	LR: 0.000800
Training Epoch: 39 [41984/46200]	Loss: 0.1494	LR: 0.000800
Training Epoch: 39 [42240/46200]	Loss: 0.1237	LR: 0.000800
Training Epoch: 39 [42496/46200]	Loss: 0.0804	LR: 0.000800
Training Epoch: 39 [42752/46200]	Loss: 0.0838	LR: 0.000800
Training Epoch: 39 [43008/46200]	Loss: 0.1186	LR: 0.000800
Training Epoch: 39 [43264/46200]	Loss: 0.0870	LR: 0.000800
Training Epoch: 39 [43520/46200]	Loss: 0.0817	LR: 0.000800
Training Epoch: 39 [43776/46200]	Loss: 0.1062	LR: 0.000800
Training Epoch: 39 [44032/46200]	Loss: 0.0852	LR: 0.000800
Training Epoch: 39 [44288/46200]	Loss: 0.1266	LR: 0.000800
Training Epoch: 39 [44544/46200]	Loss: 0.0885	LR: 0.000800
Training Epoch: 39 [44800/46200]	Loss: 0.0937	LR: 0.000800
Training Epoch: 39 [45056/46200]	Loss: 0.1171	LR: 0.000800
Training Epoch: 39 [45312/46200]	Loss: 0.0779	LR: 0.000800
Training Epoch: 39 [45568/46200]	Loss: 0.1091	LR: 0.000800
Training Epoch: 39 [45824/46200]	Loss: 0.1348	LR: 0.000800
Training Epoch: 39 [46080/46200]	Loss: 0.1615	LR: 0.000800
Training Epoch: 39 [46200/46200]	Loss: 0.1639	LR: 0.000800
Epoch 39 - Average Train Loss: 0.1111, Train Accuracy: 0.9684
Epoch 39 training time consumed: 27.72s
Evaluating Network.....
Test set: Epoch: 39, Average loss: 0.0029, Accuracy: 0.8068, Time consumed:0.88s
Training Epoch: 40 [256/46200]	Loss: 0.0948	LR: 0.000800
Training Epoch: 40 [512/46200]	Loss: 0.1142	LR: 0.000800
Training Epoch: 40 [768/46200]	Loss: 0.1015	LR: 0.000800
Training Epoch: 40 [1024/46200]	Loss: 0.0708	LR: 0.000800
Training Epoch: 40 [1280/46200]	Loss: 0.1330	LR: 0.000800
Training Epoch: 40 [1536/46200]	Loss: 0.1066	LR: 0.000800
Training Epoch: 40 [1792/46200]	Loss: 0.0995	LR: 0.000800
Training Epoch: 40 [2048/46200]	Loss: 0.1322	LR: 0.000800
Training Epoch: 40 [2304/46200]	Loss: 0.1193	LR: 0.000800
Training Epoch: 40 [2560/46200]	Loss: 0.1268	LR: 0.000800
Training Epoch: 40 [2816/46200]	Loss: 0.1243	LR: 0.000800
Training Epoch: 40 [3072/46200]	Loss: 0.1117	LR: 0.000800
Training Epoch: 40 [3328/46200]	Loss: 0.1468	LR: 0.000800
Training Epoch: 40 [3584/46200]	Loss: 0.0632	LR: 0.000800
Training Epoch: 40 [3840/46200]	Loss: 0.1352	LR: 0.000800
Training Epoch: 40 [4096/46200]	Loss: 0.0916	LR: 0.000800
Training Epoch: 40 [4352/46200]	Loss: 0.1473	LR: 0.000800
Training Epoch: 40 [4608/46200]	Loss: 0.0951	LR: 0.000800
Training Epoch: 40 [4864/46200]	Loss: 0.1038	LR: 0.000800
Training Epoch: 40 [5120/46200]	Loss: 0.1145	LR: 0.000800
Training Epoch: 40 [5376/46200]	Loss: 0.1155	LR: 0.000800
Training Epoch: 40 [5632/46200]	Loss: 0.0966	LR: 0.000800
Training Epoch: 40 [5888/46200]	Loss: 0.0819	LR: 0.000800
Training Epoch: 40 [6144/46200]	Loss: 0.1052	LR: 0.000800
Training Epoch: 40 [6400/46200]	Loss: 0.0900	LR: 0.000800
Training Epoch: 40 [6656/46200]	Loss: 0.1490	LR: 0.000800
Training Epoch: 40 [6912/46200]	Loss: 0.0827	LR: 0.000800
Training Epoch: 40 [7168/46200]	Loss: 0.1015	LR: 0.000800
Training Epoch: 40 [7424/46200]	Loss: 0.0879	LR: 0.000800
Training Epoch: 40 [7680/46200]	Loss: 0.1552	LR: 0.000800
Training Epoch: 40 [7936/46200]	Loss: 0.1410	LR: 0.000800
Training Epoch: 40 [8192/46200]	Loss: 0.0918	LR: 0.000800
Training Epoch: 40 [8448/46200]	Loss: 0.0686	LR: 0.000800
Training Epoch: 40 [8704/46200]	Loss: 0.1034	LR: 0.000800
Training Epoch: 40 [8960/46200]	Loss: 0.1435	LR: 0.000800
Training Epoch: 40 [9216/46200]	Loss: 0.0948	LR: 0.000800
Training Epoch: 40 [9472/46200]	Loss: 0.1066	LR: 0.000800
Training Epoch: 40 [9728/46200]	Loss: 0.1083	LR: 0.000800
Training Epoch: 40 [9984/46200]	Loss: 0.0895	LR: 0.000800
Training Epoch: 40 [10240/46200]	Loss: 0.0773	LR: 0.000800
Training Epoch: 40 [10496/46200]	Loss: 0.1050	LR: 0.000800
Training Epoch: 40 [10752/46200]	Loss: 0.1279	LR: 0.000800
Training Epoch: 40 [11008/46200]	Loss: 0.1080	LR: 0.000800
Training Epoch: 40 [11264/46200]	Loss: 0.0861	LR: 0.000800
Training Epoch: 40 [11520/46200]	Loss: 0.1465	LR: 0.000800
Training Epoch: 40 [11776/46200]	Loss: 0.1149	LR: 0.000800
Training Epoch: 40 [12032/46200]	Loss: 0.0829	LR: 0.000800
Training Epoch: 40 [12288/46200]	Loss: 0.0919	LR: 0.000800
Training Epoch: 40 [12544/46200]	Loss: 0.0997	LR: 0.000800
Training Epoch: 40 [12800/46200]	Loss: 0.1051	LR: 0.000800
Training Epoch: 40 [13056/46200]	Loss: 0.1427	LR: 0.000800
Training Epoch: 40 [13312/46200]	Loss: 0.1120	LR: 0.000800
Training Epoch: 40 [13568/46200]	Loss: 0.0803	LR: 0.000800
Training Epoch: 40 [13824/46200]	Loss: 0.1154	LR: 0.000800
Training Epoch: 40 [14080/46200]	Loss: 0.1122	LR: 0.000800
Training Epoch: 40 [14336/46200]	Loss: 0.1190	LR: 0.000800
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Training Epoch: 40 [14848/46200]	Loss: 0.0915	LR: 0.000800
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Training Epoch: 40 [15360/46200]	Loss: 0.1183	LR: 0.000800
Training Epoch: 40 [15616/46200]	Loss: 0.0814	LR: 0.000800
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Training Epoch: 40 [16640/46200]	Loss: 0.1142	LR: 0.000800
Training Epoch: 40 [16896/46200]	Loss: 0.1149	LR: 0.000800
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Training Epoch: 40 [17664/46200]	Loss: 0.1156	LR: 0.000800
Training Epoch: 40 [17920/46200]	Loss: 0.1551	LR: 0.000800
Training Epoch: 40 [18176/46200]	Loss: 0.1086	LR: 0.000800
Training Epoch: 40 [18432/46200]	Loss: 0.1132	LR: 0.000800
Training Epoch: 40 [18688/46200]	Loss: 0.1077	LR: 0.000800
Training Epoch: 40 [18944/46200]	Loss: 0.0990	LR: 0.000800
Training Epoch: 40 [19200/46200]	Loss: 0.0777	LR: 0.000800
Training Epoch: 40 [19456/46200]	Loss: 0.0825	LR: 0.000800
Training Epoch: 40 [19712/46200]	Loss: 0.1197	LR: 0.000800
Training Epoch: 40 [19968/46200]	Loss: 0.1328	LR: 0.000800
Training Epoch: 40 [20224/46200]	Loss: 0.1351	LR: 0.000800
Training Epoch: 40 [20480/46200]	Loss: 0.0960	LR: 0.000800
Training Epoch: 40 [20736/46200]	Loss: 0.0995	LR: 0.000800
Training Epoch: 40 [20992/46200]	Loss: 0.1181	LR: 0.000800
Training Epoch: 40 [21248/46200]	Loss: 0.0814	LR: 0.000800
Training Epoch: 40 [21504/46200]	Loss: 0.0793	LR: 0.000800
Training Epoch: 40 [21760/46200]	Loss: 0.1060	LR: 0.000800
Training Epoch: 40 [22016/46200]	Loss: 0.0940	LR: 0.000800
Training Epoch: 40 [22272/46200]	Loss: 0.1143	LR: 0.000800
Training Epoch: 40 [22528/46200]	Loss: 0.0910	LR: 0.000800
Training Epoch: 40 [22784/46200]	Loss: 0.0794	LR: 0.000800
Training Epoch: 40 [23040/46200]	Loss: 0.1185	LR: 0.000800
Training Epoch: 40 [23296/46200]	Loss: 0.1142	LR: 0.000800
Training Epoch: 40 [23552/46200]	Loss: 0.0833	LR: 0.000800
Training Epoch: 40 [23808/46200]	Loss: 0.1430	LR: 0.000800
Training Epoch: 40 [24064/46200]	Loss: 0.1639	LR: 0.000800
Training Epoch: 40 [24320/46200]	Loss: 0.1212	LR: 0.000800
Training Epoch: 40 [24576/46200]	Loss: 0.1197	LR: 0.000800
Training Epoch: 40 [24832/46200]	Loss: 0.1135	LR: 0.000800
Training Epoch: 40 [25088/46200]	Loss: 0.1629	LR: 0.000800
Training Epoch: 40 [25344/46200]	Loss: 0.1227	LR: 0.000800
Training Epoch: 40 [25600/46200]	Loss: 0.1091	LR: 0.000800
Training Epoch: 40 [25856/46200]	Loss: 0.0968	LR: 0.000800
Training Epoch: 40 [26112/46200]	Loss: 0.0810	LR: 0.000800
Training Epoch: 40 [26368/46200]	Loss: 0.1001	LR: 0.000800
Training Epoch: 40 [26624/46200]	Loss: 0.1389	LR: 0.000800
Training Epoch: 40 [26880/46200]	Loss: 0.0832	LR: 0.000800
Training Epoch: 40 [27136/46200]	Loss: 0.1432	LR: 0.000800
Training Epoch: 40 [27392/46200]	Loss: 0.1194	LR: 0.000800
Training Epoch: 40 [27648/46200]	Loss: 0.0928	LR: 0.000800
Training Epoch: 40 [27904/46200]	Loss: 0.1367	LR: 0.000800
Training Epoch: 40 [28160/46200]	Loss: 0.1097	LR: 0.000800
Training Epoch: 40 [28416/46200]	Loss: 0.1081	LR: 0.000800
Training Epoch: 40 [28672/46200]	Loss: 0.0931	LR: 0.000800
Training Epoch: 40 [28928/46200]	Loss: 0.0963	LR: 0.000800
Training Epoch: 40 [29184/46200]	Loss: 0.1107	LR: 0.000800
Training Epoch: 40 [29440/46200]	Loss: 0.1139	LR: 0.000800
Training Epoch: 40 [29696/46200]	Loss: 0.1005	LR: 0.000800
Training Epoch: 40 [29952/46200]	Loss: 0.0827	LR: 0.000800
Training Epoch: 40 [30208/46200]	Loss: 0.0927	LR: 0.000800
Training Epoch: 40 [30464/46200]	Loss: 0.0929	LR: 0.000800
Training Epoch: 40 [30720/46200]	Loss: 0.0816	LR: 0.000800
Training Epoch: 40 [30976/46200]	Loss: 0.0920	LR: 0.000800
Training Epoch: 40 [31232/46200]	Loss: 0.1064	LR: 0.000800
Training Epoch: 40 [31488/46200]	Loss: 0.1378	LR: 0.000800
Training Epoch: 40 [31744/46200]	Loss: 0.1218	LR: 0.000800
Training Epoch: 40 [32000/46200]	Loss: 0.0944	LR: 0.000800
Training Epoch: 40 [32256/46200]	Loss: 0.0980	LR: 0.000800
Training Epoch: 40 [32512/46200]	Loss: 0.0975	LR: 0.000800
Training Epoch: 40 [32768/46200]	Loss: 0.1071	LR: 0.000800
Training Epoch: 40 [33024/46200]	Loss: 0.1002	LR: 0.000800
Training Epoch: 40 [33280/46200]	Loss: 0.1431	LR: 0.000800
Training Epoch: 40 [33536/46200]	Loss: 0.0957	LR: 0.000800
Training Epoch: 40 [33792/46200]	Loss: 0.1068	LR: 0.000800
Training Epoch: 40 [34048/46200]	Loss: 0.0923	LR: 0.000800
Training Epoch: 40 [34304/46200]	Loss: 0.1173	LR: 0.000800
Training Epoch: 40 [34560/46200]	Loss: 0.0835	LR: 0.000800
Training Epoch: 40 [34816/46200]	Loss: 0.1130	LR: 0.000800
Training Epoch: 40 [35072/46200]	Loss: 0.0809	LR: 0.000800
Training Epoch: 40 [35328/46200]	Loss: 0.1231	LR: 0.000800
Training Epoch: 40 [35584/46200]	Loss: 0.1178	LR: 0.000800
Training Epoch: 40 [35840/46200]	Loss: 0.1135	LR: 0.000800
Training Epoch: 40 [36096/46200]	Loss: 0.0956	LR: 0.000800
Training Epoch: 40 [36352/46200]	Loss: 0.1173	LR: 0.000800
Training Epoch: 40 [36608/46200]	Loss: 0.1368	LR: 0.000800
Training Epoch: 40 [36864/46200]	Loss: 0.1102	LR: 0.000800
Training Epoch: 40 [37120/46200]	Loss: 0.1037	LR: 0.000800
Training Epoch: 40 [37376/46200]	Loss: 0.1220	LR: 0.000800
Training Epoch: 40 [37632/46200]	Loss: 0.1020	LR: 0.000800
Training Epoch: 40 [37888/46200]	Loss: 0.0928	LR: 0.000800
Training Epoch: 40 [38144/46200]	Loss: 0.1480	LR: 0.000800
Training Epoch: 40 [38400/46200]	Loss: 0.0759	LR: 0.000800
Training Epoch: 40 [38656/46200]	Loss: 0.0805	LR: 0.000800
Training Epoch: 40 [38912/46200]	Loss: 0.0832	LR: 0.000800
Training Epoch: 40 [39168/46200]	Loss: 0.1473	LR: 0.000800
Training Epoch: 40 [39424/46200]	Loss: 0.1220	LR: 0.000800
Training Epoch: 40 [39680/46200]	Loss: 0.0985	LR: 0.000800
Training Epoch: 40 [39936/46200]	Loss: 0.1343	LR: 0.000800
Training Epoch: 40 [40192/46200]	Loss: 0.0951	LR: 0.000800
Training Epoch: 40 [40448/46200]	Loss: 0.1196	LR: 0.000800
Training Epoch: 40 [40704/46200]	Loss: 0.0786	LR: 0.000800
Training Epoch: 40 [40960/46200]	Loss: 0.1558	LR: 0.000800
Training Epoch: 40 [41216/46200]	Loss: 0.0956	LR: 0.000800
Training Epoch: 40 [41472/46200]	Loss: 0.1032	LR: 0.000800
Training Epoch: 40 [41728/46200]	Loss: 0.1009	LR: 0.000800
Training Epoch: 40 [41984/46200]	Loss: 0.0975	LR: 0.000800
Training Epoch: 40 [42240/46200]	Loss: 0.1185	LR: 0.000800
Training Epoch: 40 [42496/46200]	Loss: 0.1129	LR: 0.000800
Training Epoch: 40 [42752/46200]	Loss: 0.0767	LR: 0.000800
Training Epoch: 40 [43008/46200]	Loss: 0.0953	LR: 0.000800
Training Epoch: 40 [43264/46200]	Loss: 0.1092	LR: 0.000800
Training Epoch: 40 [43520/46200]	Loss: 0.1152	LR: 0.000800
Training Epoch: 40 [43776/46200]	Loss: 0.0844	LR: 0.000800
Training Epoch: 40 [44032/46200]	Loss: 0.0964	LR: 0.000800
Training Epoch: 40 [44288/46200]	Loss: 0.0786	LR: 0.000800
Training Epoch: 40 [44544/46200]	Loss: 0.0628	LR: 0.000800
Training Epoch: 40 [44800/46200]	Loss: 0.1723	LR: 0.000800
Training Epoch: 40 [45056/46200]	Loss: 0.0721	LR: 0.000800
Training Epoch: 40 [45312/46200]	Loss: 0.0911	LR: 0.000800
Training Epoch: 40 [45568/46200]	Loss: 0.1186	LR: 0.000800
Training Epoch: 40 [45824/46200]	Loss: 0.0750	LR: 0.000800
Training Epoch: 40 [46080/46200]	Loss: 0.1199	LR: 0.000800
Training Epoch: 40 [46200/46200]	Loss: 0.0904	LR: 0.000800
Epoch 40 - Average Train Loss: 0.1070, Train Accuracy: 0.9706
Epoch 40 training time consumed: 27.74s
Evaluating Network.....
Test set: Epoch: 40, Average loss: 0.0029, Accuracy: 0.8068, Time consumed:0.89s
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  46200
Forget Train Dl:  3800
Retain Valid Dl:  46200
Forget Valid Dl:  3800
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 3800 samples
Set1 Distribution: 3800 samples
Set2 Distribution: 3800 samples
Set1 Distribution: 3800 samples
Set2 Distribution: 3800 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 80.693359375
Retain Accuracy: 97.47410583496094
Zero-Retain Forget (ZRF): 0.902924656867981
Membership Inference Attack (MIA): 0.5955263157894737
Forget vs Retain Membership Inference Attack (MIA): 0.5953947368421053
Forget vs Test Membership Inference Attack (MIA): 0.5296052631578947
Test vs Retain Membership Inference Attack (MIA): 0.56975
Train vs Test Membership Inference Attack (MIA): 0.59575
Forget Set Accuracy (Df): 78.69695281982422
Method Execution Time: 2101.58 seconds
