
📌 Retain class distribution for seed 7:
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 7:
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: 3.1108	LR: 0.000000
Training Epoch: 1 [512/46200]	Loss: 3.1252	LR: 0.000552
Training Epoch: 1 [768/46200]	Loss: 3.0490	LR: 0.001105
Training Epoch: 1 [1024/46200]	Loss: 3.0613	LR: 0.001657
Training Epoch: 1 [1280/46200]	Loss: 3.0462	LR: 0.002210
Training Epoch: 1 [1536/46200]	Loss: 3.0225	LR: 0.002762
Training Epoch: 1 [1792/46200]	Loss: 2.9592	LR: 0.003315
Training Epoch: 1 [2048/46200]	Loss: 2.9447	LR: 0.003867
Training Epoch: 1 [2304/46200]	Loss: 2.9451	LR: 0.004420
Training Epoch: 1 [2560/46200]	Loss: 2.9372	LR: 0.004972
Training Epoch: 1 [2816/46200]	Loss: 2.9481	LR: 0.005525
Training Epoch: 1 [3072/46200]	Loss: 2.8403	LR: 0.006077
Training Epoch: 1 [3328/46200]	Loss: 2.8916	LR: 0.006630
Training Epoch: 1 [3584/46200]	Loss: 2.9149	LR: 0.007182
Training Epoch: 1 [3840/46200]	Loss: 2.9006	LR: 0.007735
Training Epoch: 1 [4096/46200]	Loss: 2.8485	LR: 0.008287
Training Epoch: 1 [4352/46200]	Loss: 2.7785	LR: 0.008840
Training Epoch: 1 [4608/46200]	Loss: 2.7338	LR: 0.009392
Training Epoch: 1 [4864/46200]	Loss: 2.7707	LR: 0.009945
Training Epoch: 1 [5120/46200]	Loss: 2.9124	LR: 0.010497
Training Epoch: 1 [5376/46200]	Loss: 2.7793	LR: 0.011050
Training Epoch: 1 [5632/46200]	Loss: 2.7460	LR: 0.011602
Training Epoch: 1 [5888/46200]	Loss: 2.6907	LR: 0.012155
Training Epoch: 1 [6144/46200]	Loss: 2.6627	LR: 0.012707
Training Epoch: 1 [6400/46200]	Loss: 2.7350	LR: 0.013260
Training Epoch: 1 [6656/46200]	Loss: 2.5939	LR: 0.013812
Training Epoch: 1 [6912/46200]	Loss: 2.8331	LR: 0.014365
Training Epoch: 1 [7168/46200]	Loss: 2.6888	LR: 0.014917
Training Epoch: 1 [7424/46200]	Loss: 2.6382	LR: 0.015470
Training Epoch: 1 [7680/46200]	Loss: 2.6719	LR: 0.016022
Training Epoch: 1 [7936/46200]	Loss: 2.6080	LR: 0.016575
Training Epoch: 1 [8192/46200]	Loss: 2.6587	LR: 0.017127
Training Epoch: 1 [8448/46200]	Loss: 2.6611	LR: 0.017680
Training Epoch: 1 [8704/46200]	Loss: 2.7254	LR: 0.018232
Training Epoch: 1 [8960/46200]	Loss: 2.7053	LR: 0.018785
Training Epoch: 1 [9216/46200]	Loss: 2.6228	LR: 0.019337
Training Epoch: 1 [9472/46200]	Loss: 2.7070	LR: 0.019890
Training Epoch: 1 [9728/46200]	Loss: 2.6757	LR: 0.020442
Training Epoch: 1 [9984/46200]	Loss: 2.6603	LR: 0.020994
Training Epoch: 1 [10240/46200]	Loss: 2.5762	LR: 0.021547
Training Epoch: 1 [10496/46200]	Loss: 2.5790	LR: 0.022099
Training Epoch: 1 [10752/46200]	Loss: 2.5606	LR: 0.022652
Training Epoch: 1 [11008/46200]	Loss: 2.5600	LR: 0.023204
Training Epoch: 1 [11264/46200]	Loss: 2.7892	LR: 0.023757
Training Epoch: 1 [11520/46200]	Loss: 2.8799	LR: 0.024309
Training Epoch: 1 [11776/46200]	Loss: 2.5522	LR: 0.024862
Training Epoch: 1 [12032/46200]	Loss: 2.6107	LR: 0.025414
Training Epoch: 1 [12288/46200]	Loss: 2.6010	LR: 0.025967
Training Epoch: 1 [12544/46200]	Loss: 2.5720	LR: 0.026519
Training Epoch: 1 [12800/46200]	Loss: 2.6400	LR: 0.027072
Training Epoch: 1 [13056/46200]	Loss: 2.8771	LR: 0.027624
Training Epoch: 1 [13312/46200]	Loss: 2.4900	LR: 0.028177
Training Epoch: 1 [13568/46200]	Loss: 2.6004	LR: 0.028729
Training Epoch: 1 [13824/46200]	Loss: 2.5487	LR: 0.029282
Training Epoch: 1 [14080/46200]	Loss: 2.6222	LR: 0.029834
Training Epoch: 1 [14336/46200]	Loss: 2.6431	LR: 0.030387
Training Epoch: 1 [14592/46200]	Loss: 2.5799	LR: 0.030939
Training Epoch: 1 [14848/46200]	Loss: 2.4708	LR: 0.031492
Training Epoch: 1 [15104/46200]	Loss: 2.4279	LR: 0.032044
Training Epoch: 1 [15360/46200]	Loss: 2.6368	LR: 0.032597
Training Epoch: 1 [15616/46200]	Loss: 2.5597	LR: 0.033149
Training Epoch: 1 [15872/46200]	Loss: 2.7500	LR: 0.033702
Training Epoch: 1 [16128/46200]	Loss: 2.4591	LR: 0.034254
Training Epoch: 1 [16384/46200]	Loss: 2.6071	LR: 0.034807
Training Epoch: 1 [16640/46200]	Loss: 2.5954	LR: 0.035359
Training Epoch: 1 [16896/46200]	Loss: 2.6207	LR: 0.035912
Training Epoch: 1 [17152/46200]	Loss: 2.4706	LR: 0.036464
Training Epoch: 1 [17408/46200]	Loss: 2.5407	LR: 0.037017
Training Epoch: 1 [17664/46200]	Loss: 2.6056	LR: 0.037569
Training Epoch: 1 [17920/46200]	Loss: 2.5797	LR: 0.038122
Training Epoch: 1 [18176/46200]	Loss: 2.5373	LR: 0.038674
Training Epoch: 1 [18432/46200]	Loss: 2.5668	LR: 0.039227
Training Epoch: 1 [18688/46200]	Loss: 2.6556	LR: 0.039779
Training Epoch: 1 [18944/46200]	Loss: 2.4419	LR: 0.040331
Training Epoch: 1 [19200/46200]	Loss: 2.5222	LR: 0.040884
Training Epoch: 1 [19456/46200]	Loss: 2.4328	LR: 0.041436
Training Epoch: 1 [19712/46200]	Loss: 2.5709	LR: 0.041989
Training Epoch: 1 [19968/46200]	Loss: 2.5797	LR: 0.042541
Training Epoch: 1 [20224/46200]	Loss: 2.4625	LR: 0.043094
Training Epoch: 1 [20480/46200]	Loss: 2.4456	LR: 0.043646
Training Epoch: 1 [20736/46200]	Loss: 2.5485	LR: 0.044199
Training Epoch: 1 [20992/46200]	Loss: 2.5047	LR: 0.044751
Training Epoch: 1 [21248/46200]	Loss: 2.4233	LR: 0.045304
Training Epoch: 1 [21504/46200]	Loss: 2.4566	LR: 0.045856
Training Epoch: 1 [21760/46200]	Loss: 2.4508	LR: 0.046409
Training Epoch: 1 [22016/46200]	Loss: 2.4375	LR: 0.046961
Training Epoch: 1 [22272/46200]	Loss: 2.2756	LR: 0.047514
Training Epoch: 1 [22528/46200]	Loss: 2.4314	LR: 0.048066
Training Epoch: 1 [22784/46200]	Loss: 2.4585	LR: 0.048619
Training Epoch: 1 [23040/46200]	Loss: 2.4640	LR: 0.049171
Training Epoch: 1 [23296/46200]	Loss: 2.6081	LR: 0.049724
Training Epoch: 1 [23552/46200]	Loss: 2.5747	LR: 0.050276
Training Epoch: 1 [23808/46200]	Loss: 2.5210	LR: 0.050829
Training Epoch: 1 [24064/46200]	Loss: 2.5547	LR: 0.051381
Training Epoch: 1 [24320/46200]	Loss: 2.5284	LR: 0.051934
Training Epoch: 1 [24576/46200]	Loss: 2.4705	LR: 0.052486
Training Epoch: 1 [24832/46200]	Loss: 2.4971	LR: 0.053039
Training Epoch: 1 [25088/46200]	Loss: 2.4780	LR: 0.053591
Training Epoch: 1 [25344/46200]	Loss: 2.4497	LR: 0.054144
Training Epoch: 1 [25600/46200]	Loss: 2.3266	LR: 0.054696
Training Epoch: 1 [25856/46200]	Loss: 2.4545	LR: 0.055249
Training Epoch: 1 [26112/46200]	Loss: 2.4395	LR: 0.055801
Training Epoch: 1 [26368/46200]	Loss: 2.4078	LR: 0.056354
Training Epoch: 1 [26624/46200]	Loss: 2.4196	LR: 0.056906
Training Epoch: 1 [26880/46200]	Loss: 2.4796	LR: 0.057459
Training Epoch: 1 [27136/46200]	Loss: 2.3557	LR: 0.058011
Training Epoch: 1 [27392/46200]	Loss: 2.3133	LR: 0.058564
Training Epoch: 1 [27648/46200]	Loss: 2.4703	LR: 0.059116
Training Epoch: 1 [27904/46200]	Loss: 2.3643	LR: 0.059669
Training Epoch: 1 [28160/46200]	Loss: 2.2999	LR: 0.060221
Training Epoch: 1 [28416/46200]	Loss: 2.2917	LR: 0.060773
Training Epoch: 1 [28672/46200]	Loss: 2.4812	LR: 0.061326
Training Epoch: 1 [28928/46200]	Loss: 2.5006	LR: 0.061878
Training Epoch: 1 [29184/46200]	Loss: 2.3808	LR: 0.062431
Training Epoch: 1 [29440/46200]	Loss: 2.2788	LR: 0.062983
Training Epoch: 1 [29696/46200]	Loss: 2.3082	LR: 0.063536
Training Epoch: 1 [29952/46200]	Loss: 2.3166	LR: 0.064088
Training Epoch: 1 [30208/46200]	Loss: 2.4709	LR: 0.064641
Training Epoch: 1 [30464/46200]	Loss: 2.4475	LR: 0.065193
Training Epoch: 1 [30720/46200]	Loss: 2.4414	LR: 0.065746
Training Epoch: 1 [30976/46200]	Loss: 2.4581	LR: 0.066298
Training Epoch: 1 [31232/46200]	Loss: 2.4456	LR: 0.066851
Training Epoch: 1 [31488/46200]	Loss: 2.4348	LR: 0.067403
Training Epoch: 1 [31744/46200]	Loss: 2.4691	LR: 0.067956
Training Epoch: 1 [32000/46200]	Loss: 2.4755	LR: 0.068508
Training Epoch: 1 [32256/46200]	Loss: 2.4736	LR: 0.069061
Training Epoch: 1 [32512/46200]	Loss: 2.4351	LR: 0.069613
Training Epoch: 1 [32768/46200]	Loss: 2.4264	LR: 0.070166
Training Epoch: 1 [33024/46200]	Loss: 2.5077	LR: 0.070718
Training Epoch: 1 [33280/46200]	Loss: 2.3956	LR: 0.071271
Training Epoch: 1 [33536/46200]	Loss: 2.4355	LR: 0.071823
Training Epoch: 1 [33792/46200]	Loss: 2.4504	LR: 0.072376
Training Epoch: 1 [34048/46200]	Loss: 2.4921	LR: 0.072928
Training Epoch: 1 [34304/46200]	Loss: 2.5155	LR: 0.073481
Training Epoch: 1 [34560/46200]	Loss: 2.5132	LR: 0.074033
Training Epoch: 1 [34816/46200]	Loss: 2.4312	LR: 0.074586
Training Epoch: 1 [35072/46200]	Loss: 2.4366	LR: 0.075138
Training Epoch: 1 [35328/46200]	Loss: 2.3179	LR: 0.075691
Training Epoch: 1 [35584/46200]	Loss: 2.4384	LR: 0.076243
Training Epoch: 1 [35840/46200]	Loss: 2.3103	LR: 0.076796
Training Epoch: 1 [36096/46200]	Loss: 2.4524	LR: 0.077348
Training Epoch: 1 [36352/46200]	Loss: 2.3684	LR: 0.077901
Training Epoch: 1 [36608/46200]	Loss: 2.4253	LR: 0.078453
Training Epoch: 1 [36864/46200]	Loss: 2.3399	LR: 0.079006
Training Epoch: 1 [37120/46200]	Loss: 2.4507	LR: 0.079558
Training Epoch: 1 [37376/46200]	Loss: 2.5486	LR: 0.080110
Training Epoch: 1 [37632/46200]	Loss: 2.4443	LR: 0.080663
Training Epoch: 1 [37888/46200]	Loss: 2.3480	LR: 0.081215
Training Epoch: 1 [38144/46200]	Loss: 2.5024	LR: 0.081768
Training Epoch: 1 [38400/46200]	Loss: 2.4423	LR: 0.082320
Training Epoch: 1 [38656/46200]	Loss: 2.3630	LR: 0.082873
Training Epoch: 1 [38912/46200]	Loss: 2.3931	LR: 0.083425
Training Epoch: 1 [39168/46200]	Loss: 2.4365	LR: 0.083978
Training Epoch: 1 [39424/46200]	Loss: 2.5732	LR: 0.084530
Training Epoch: 1 [39680/46200]	Loss: 2.3857	LR: 0.085083
Training Epoch: 1 [39936/46200]	Loss: 2.3757	LR: 0.085635
Training Epoch: 1 [40192/46200]	Loss: 2.3817	LR: 0.086188
Training Epoch: 1 [40448/46200]	Loss: 2.2622	LR: 0.086740
Training Epoch: 1 [40704/46200]	Loss: 2.2872	LR: 0.087293
Training Epoch: 1 [40960/46200]	Loss: 2.3639	LR: 0.087845
Training Epoch: 1 [41216/46200]	Loss: 2.2926	LR: 0.088398
Training Epoch: 1 [41472/46200]	Loss: 2.2936	LR: 0.088950
Training Epoch: 1 [41728/46200]	Loss: 2.4857	LR: 0.089503
Training Epoch: 1 [41984/46200]	Loss: 2.2633	LR: 0.090055
Training Epoch: 1 [42240/46200]	Loss: 2.4798	LR: 0.090608
Training Epoch: 1 [42496/46200]	Loss: 2.3419	LR: 0.091160
Training Epoch: 1 [42752/46200]	Loss: 2.4141	LR: 0.091713
Training Epoch: 1 [43008/46200]	Loss: 2.4162	LR: 0.092265
Training Epoch: 1 [43264/46200]	Loss: 2.4531	LR: 0.092818
Training Epoch: 1 [43520/46200]	Loss: 2.3762	LR: 0.093370
Training Epoch: 1 [43776/46200]	Loss: 2.5223	LR: 0.093923
Training Epoch: 1 [44032/46200]	Loss: 2.3845	LR: 0.094475
Training Epoch: 1 [44288/46200]	Loss: 2.3895	LR: 0.095028
Training Epoch: 1 [44544/46200]	Loss: 2.3945	LR: 0.095580
Training Epoch: 1 [44800/46200]	Loss: 2.3756	LR: 0.096133
Training Epoch: 1 [45056/46200]	Loss: 2.3592	LR: 0.096685
Training Epoch: 1 [45312/46200]	Loss: 2.3484	LR: 0.097238
Training Epoch: 1 [45568/46200]	Loss: 2.3287	LR: 0.097790
Training Epoch: 1 [45824/46200]	Loss: 2.2526	LR: 0.098343
Training Epoch: 1 [46080/46200]	Loss: 2.3435	LR: 0.098895
Training Epoch: 1 [46200/46200]	Loss: 2.2899	LR: 0.099448
Epoch 1 - Average Train Loss: 2.5412, Train Accuracy: 0.2204
Epoch 1 training time consumed: 28.65s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0093, Accuracy: 0.2867, Time consumed:1.04s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_03h_31m_17s/ResNet18-Cifar20-seed7-ret25-1-best.pth
Training Epoch: 2 [256/46200]	Loss: 2.3080	LR: 0.100000
Training Epoch: 2 [512/46200]	Loss: 2.2459	LR: 0.100000
Training Epoch: 2 [768/46200]	Loss: 2.3144	LR: 0.100000
Training Epoch: 2 [1024/46200]	Loss: 2.3909	LR: 0.100000
Training Epoch: 2 [1280/46200]	Loss: 2.2713	LR: 0.100000
Training Epoch: 2 [1536/46200]	Loss: 2.4283	LR: 0.100000
Training Epoch: 2 [1792/46200]	Loss: 2.4167	LR: 0.100000
Training Epoch: 2 [2048/46200]	Loss: 2.2370	LR: 0.100000
Training Epoch: 2 [2304/46200]	Loss: 2.2398	LR: 0.100000
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Epoch 2 - Average Train Loss: 2.1625, Train Accuracy: 0.3283
Epoch 2 training time consumed: 27.73s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0088, Accuracy: 0.3397, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_03h_31m_17s/ResNet18-Cifar20-seed7-ret25-2-best.pth
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Training Epoch: 3 [46200/46200]	Loss: 1.7427	LR: 0.100000
Epoch 3 - Average Train Loss: 1.9051, Train Accuracy: 0.4022
Epoch 3 training time consumed: 27.89s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0072, Accuracy: 0.4371, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_03h_31m_17s/ResNet18-Cifar20-seed7-ret25-3-best.pth
Training Epoch: 4 [256/46200]	Loss: 1.7637	LR: 0.100000
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Training Epoch: 4 [46200/46200]	Loss: 1.5934	LR: 0.100000
Epoch 4 - Average Train Loss: 1.6960, Train Accuracy: 0.4619
Epoch 4 training time consumed: 27.72s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0067, Accuracy: 0.4794, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_03h_31m_17s/ResNet18-Cifar20-seed7-ret25-4-best.pth
Training Epoch: 5 [256/46200]	Loss: 1.5888	LR: 0.100000
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Training Epoch: 5 [13824/46200]	Loss: 1.4514	LR: 0.100000
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Training Epoch: 5 [15360/46200]	Loss: 1.5321	LR: 0.100000
Training Epoch: 5 [15616/46200]	Loss: 1.6786	LR: 0.100000
Training Epoch: 5 [15872/46200]	Loss: 1.5268	LR: 0.100000
Training Epoch: 5 [16128/46200]	Loss: 1.4921	LR: 0.100000
Training Epoch: 5 [16384/46200]	Loss: 1.4639	LR: 0.100000
Training Epoch: 5 [16640/46200]	Loss: 1.5844	LR: 0.100000
Training Epoch: 5 [16896/46200]	Loss: 1.6910	LR: 0.100000
Training Epoch: 5 [17152/46200]	Loss: 1.5326	LR: 0.100000
Training Epoch: 5 [17408/46200]	Loss: 1.5223	LR: 0.100000
Training Epoch: 5 [17664/46200]	Loss: 1.4826	LR: 0.100000
Training Epoch: 5 [17920/46200]	Loss: 1.5071	LR: 0.100000
Training Epoch: 5 [18176/46200]	Loss: 1.6219	LR: 0.100000
Training Epoch: 5 [18432/46200]	Loss: 1.4965	LR: 0.100000
Training Epoch: 5 [18688/46200]	Loss: 1.4971	LR: 0.100000
Training Epoch: 5 [18944/46200]	Loss: 1.4972	LR: 0.100000
Training Epoch: 5 [19200/46200]	Loss: 1.5875	LR: 0.100000
Training Epoch: 5 [19456/46200]	Loss: 1.6273	LR: 0.100000
Training Epoch: 5 [19712/46200]	Loss: 1.5325	LR: 0.100000
Training Epoch: 5 [19968/46200]	Loss: 1.4923	LR: 0.100000
Training Epoch: 5 [20224/46200]	Loss: 1.4856	LR: 0.100000
Training Epoch: 5 [20480/46200]	Loss: 1.4394	LR: 0.100000
Training Epoch: 5 [20736/46200]	Loss: 1.5630	LR: 0.100000
Training Epoch: 5 [20992/46200]	Loss: 1.5143	LR: 0.100000
Training Epoch: 5 [21248/46200]	Loss: 1.5752	LR: 0.100000
Training Epoch: 5 [21504/46200]	Loss: 1.5466	LR: 0.100000
Training Epoch: 5 [21760/46200]	Loss: 1.5507	LR: 0.100000
Training Epoch: 5 [22016/46200]	Loss: 1.5972	LR: 0.100000
Training Epoch: 5 [22272/46200]	Loss: 1.5753	LR: 0.100000
Training Epoch: 5 [22528/46200]	Loss: 1.4871	LR: 0.100000
Training Epoch: 5 [22784/46200]	Loss: 1.4379	LR: 0.100000
Training Epoch: 5 [23040/46200]	Loss: 1.7008	LR: 0.100000
Training Epoch: 5 [23296/46200]	Loss: 1.5787	LR: 0.100000
Training Epoch: 5 [23552/46200]	Loss: 1.5158	LR: 0.100000
Training Epoch: 5 [23808/46200]	Loss: 1.5638	LR: 0.100000
Training Epoch: 5 [24064/46200]	Loss: 1.6321	LR: 0.100000
Training Epoch: 5 [24320/46200]	Loss: 1.5370	LR: 0.100000
Training Epoch: 5 [24576/46200]	Loss: 1.4543	LR: 0.100000
Training Epoch: 5 [24832/46200]	Loss: 1.5709	LR: 0.100000
Training Epoch: 5 [25088/46200]	Loss: 1.5764	LR: 0.100000
Training Epoch: 5 [25344/46200]	Loss: 1.4924	LR: 0.100000
Training Epoch: 5 [25600/46200]	Loss: 1.6038	LR: 0.100000
Training Epoch: 5 [25856/46200]	Loss: 1.5028	LR: 0.100000
Training Epoch: 5 [26112/46200]	Loss: 1.6700	LR: 0.100000
Training Epoch: 5 [26368/46200]	Loss: 1.5118	LR: 0.100000
Training Epoch: 5 [26624/46200]	Loss: 1.4305	LR: 0.100000
Training Epoch: 5 [26880/46200]	Loss: 1.5439	LR: 0.100000
Training Epoch: 5 [27136/46200]	Loss: 1.5841	LR: 0.100000
Training Epoch: 5 [27392/46200]	Loss: 1.4866	LR: 0.100000
Training Epoch: 5 [27648/46200]	Loss: 1.4731	LR: 0.100000
Training Epoch: 5 [27904/46200]	Loss: 1.5613	LR: 0.100000
Training Epoch: 5 [28160/46200]	Loss: 1.5858	LR: 0.100000
Training Epoch: 5 [28416/46200]	Loss: 1.5466	LR: 0.100000
Training Epoch: 5 [28672/46200]	Loss: 1.5815	LR: 0.100000
Training Epoch: 5 [28928/46200]	Loss: 1.4112	LR: 0.100000
Training Epoch: 5 [29184/46200]	Loss: 1.4339	LR: 0.100000
Training Epoch: 5 [29440/46200]	Loss: 1.5384	LR: 0.100000
Training Epoch: 5 [29696/46200]	Loss: 1.3564	LR: 0.100000
Training Epoch: 5 [29952/46200]	Loss: 1.4415	LR: 0.100000
Training Epoch: 5 [30208/46200]	Loss: 1.3019	LR: 0.100000
Training Epoch: 5 [30464/46200]	Loss: 1.4746	LR: 0.100000
Training Epoch: 5 [30720/46200]	Loss: 1.4903	LR: 0.100000
Training Epoch: 5 [30976/46200]	Loss: 1.4931	LR: 0.100000
Training Epoch: 5 [31232/46200]	Loss: 1.5892	LR: 0.100000
Training Epoch: 5 [31488/46200]	Loss: 1.5105	LR: 0.100000
Training Epoch: 5 [31744/46200]	Loss: 1.3503	LR: 0.100000
Training Epoch: 5 [32000/46200]	Loss: 1.2843	LR: 0.100000
Training Epoch: 5 [32256/46200]	Loss: 1.4381	LR: 0.100000
Training Epoch: 5 [32512/46200]	Loss: 1.7091	LR: 0.100000
Training Epoch: 5 [32768/46200]	Loss: 1.4425	LR: 0.100000
Training Epoch: 5 [33024/46200]	Loss: 1.5368	LR: 0.100000
Training Epoch: 5 [33280/46200]	Loss: 1.4459	LR: 0.100000
Training Epoch: 5 [33536/46200]	Loss: 1.4560	LR: 0.100000
Training Epoch: 5 [33792/46200]	Loss: 1.3639	LR: 0.100000
Training Epoch: 5 [34048/46200]	Loss: 1.7377	LR: 0.100000
Training Epoch: 5 [34304/46200]	Loss: 1.5352	LR: 0.100000
Training Epoch: 5 [34560/46200]	Loss: 1.5641	LR: 0.100000
Training Epoch: 5 [34816/46200]	Loss: 1.4007	LR: 0.100000
Training Epoch: 5 [35072/46200]	Loss: 1.7314	LR: 0.100000
Training Epoch: 5 [35328/46200]	Loss: 1.5685	LR: 0.100000
Training Epoch: 5 [35584/46200]	Loss: 1.5042	LR: 0.100000
Training Epoch: 5 [35840/46200]	Loss: 1.5341	LR: 0.100000
Training Epoch: 5 [36096/46200]	Loss: 1.5534	LR: 0.100000
Training Epoch: 5 [36352/46200]	Loss: 1.4987	LR: 0.100000
Training Epoch: 5 [36608/46200]	Loss: 1.5690	LR: 0.100000
Training Epoch: 5 [36864/46200]	Loss: 1.5288	LR: 0.100000
Training Epoch: 5 [37120/46200]	Loss: 1.5879	LR: 0.100000
Training Epoch: 5 [37376/46200]	Loss: 1.3491	LR: 0.100000
Training Epoch: 5 [37632/46200]	Loss: 1.5131	LR: 0.100000
Training Epoch: 5 [37888/46200]	Loss: 1.4527	LR: 0.100000
Training Epoch: 5 [38144/46200]	Loss: 1.6183	LR: 0.100000
Training Epoch: 5 [38400/46200]	Loss: 1.5406	LR: 0.100000
Training Epoch: 5 [38656/46200]	Loss: 1.4120	LR: 0.100000
Training Epoch: 5 [38912/46200]	Loss: 1.7090	LR: 0.100000
Training Epoch: 5 [39168/46200]	Loss: 1.4412	LR: 0.100000
Training Epoch: 5 [39424/46200]	Loss: 1.5425	LR: 0.100000
Training Epoch: 5 [39680/46200]	Loss: 1.4296	LR: 0.100000
Training Epoch: 5 [39936/46200]	Loss: 1.5153	LR: 0.100000
Training Epoch: 5 [40192/46200]	Loss: 1.6361	LR: 0.100000
Training Epoch: 5 [40448/46200]	Loss: 1.4133	LR: 0.100000
Training Epoch: 5 [40704/46200]	Loss: 1.6159	LR: 0.100000
Training Epoch: 5 [40960/46200]	Loss: 1.4170	LR: 0.100000
Training Epoch: 5 [41216/46200]	Loss: 1.5265	LR: 0.100000
Training Epoch: 5 [41472/46200]	Loss: 1.4579	LR: 0.100000
Training Epoch: 5 [41728/46200]	Loss: 1.4134	LR: 0.100000
Training Epoch: 5 [41984/46200]	Loss: 1.3727	LR: 0.100000
Training Epoch: 5 [42240/46200]	Loss: 1.3763	LR: 0.100000
Training Epoch: 5 [42496/46200]	Loss: 1.5036	LR: 0.100000
Training Epoch: 5 [42752/46200]	Loss: 1.5698	LR: 0.100000
Training Epoch: 5 [43008/46200]	Loss: 1.4290	LR: 0.100000
Training Epoch: 5 [43264/46200]	Loss: 1.4418	LR: 0.100000
Training Epoch: 5 [43520/46200]	Loss: 1.4331	LR: 0.100000
Training Epoch: 5 [43776/46200]	Loss: 1.3415	LR: 0.100000
Training Epoch: 5 [44032/46200]	Loss: 1.3399	LR: 0.100000
Training Epoch: 5 [44288/46200]	Loss: 1.3684	LR: 0.100000
Training Epoch: 5 [44544/46200]	Loss: 1.4743	LR: 0.100000
Training Epoch: 5 [44800/46200]	Loss: 1.3316	LR: 0.100000
Training Epoch: 5 [45056/46200]	Loss: 1.2794	LR: 0.100000
Training Epoch: 5 [45312/46200]	Loss: 1.4527	LR: 0.100000
Training Epoch: 5 [45568/46200]	Loss: 1.4187	LR: 0.100000
Training Epoch: 5 [45824/46200]	Loss: 1.4281	LR: 0.100000
Training Epoch: 5 [46080/46200]	Loss: 1.3709	LR: 0.100000
Training Epoch: 5 [46200/46200]	Loss: 1.4228	LR: 0.100000
Epoch 5 - Average Train Loss: 1.5255, Train Accuracy: 0.5126
Epoch 5 training time consumed: 28.06s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0072, Accuracy: 0.4686, Time consumed:0.90s
Training Epoch: 6 [256/46200]	Loss: 1.5834	LR: 0.100000
Training Epoch: 6 [512/46200]	Loss: 1.4151	LR: 0.100000
Training Epoch: 6 [768/46200]	Loss: 1.3882	LR: 0.100000
Training Epoch: 6 [1024/46200]	Loss: 1.2505	LR: 0.100000
Training Epoch: 6 [1280/46200]	Loss: 1.6548	LR: 0.100000
Training Epoch: 6 [1536/46200]	Loss: 1.5416	LR: 0.100000
Training Epoch: 6 [1792/46200]	Loss: 1.4725	LR: 0.100000
Training Epoch: 6 [2048/46200]	Loss: 1.4747	LR: 0.100000
Training Epoch: 6 [2304/46200]	Loss: 1.5652	LR: 0.100000
Training Epoch: 6 [2560/46200]	Loss: 1.5649	LR: 0.100000
Training Epoch: 6 [2816/46200]	Loss: 1.5232	LR: 0.100000
Training Epoch: 6 [3072/46200]	Loss: 1.5138	LR: 0.100000
Training Epoch: 6 [3328/46200]	Loss: 1.5718	LR: 0.100000
Training Epoch: 6 [3584/46200]	Loss: 1.4859	LR: 0.100000
Training Epoch: 6 [3840/46200]	Loss: 1.4508	LR: 0.100000
Training Epoch: 6 [4096/46200]	Loss: 1.3691	LR: 0.100000
Training Epoch: 6 [4352/46200]	Loss: 1.4312	LR: 0.100000
Training Epoch: 6 [4608/46200]	Loss: 1.4386	LR: 0.100000
Training Epoch: 6 [4864/46200]	Loss: 1.5810	LR: 0.100000
Training Epoch: 6 [5120/46200]	Loss: 1.4562	LR: 0.100000
Training Epoch: 6 [5376/46200]	Loss: 1.3715	LR: 0.100000
Training Epoch: 6 [5632/46200]	Loss: 1.4401	LR: 0.100000
Training Epoch: 6 [5888/46200]	Loss: 1.5078	LR: 0.100000
Training Epoch: 6 [6144/46200]	Loss: 1.4755	LR: 0.100000
Training Epoch: 6 [6400/46200]	Loss: 1.3000	LR: 0.100000
Training Epoch: 6 [6656/46200]	Loss: 1.4643	LR: 0.100000
Training Epoch: 6 [6912/46200]	Loss: 1.3581	LR: 0.100000
Training Epoch: 6 [7168/46200]	Loss: 1.5602	LR: 0.100000
Training Epoch: 6 [7424/46200]	Loss: 1.4074	LR: 0.100000
Training Epoch: 6 [7680/46200]	Loss: 1.4087	LR: 0.100000
Training Epoch: 6 [7936/46200]	Loss: 1.3105	LR: 0.100000
Training Epoch: 6 [8192/46200]	Loss: 1.4768	LR: 0.100000
Training Epoch: 6 [8448/46200]	Loss: 1.5329	LR: 0.100000
Training Epoch: 6 [8704/46200]	Loss: 1.5932	LR: 0.100000
Training Epoch: 6 [8960/46200]	Loss: 1.4383	LR: 0.100000
Training Epoch: 6 [9216/46200]	Loss: 1.3879	LR: 0.100000
Training Epoch: 6 [9472/46200]	Loss: 1.4117	LR: 0.100000
Training Epoch: 6 [9728/46200]	Loss: 1.4080	LR: 0.100000
Training Epoch: 6 [9984/46200]	Loss: 1.4085	LR: 0.100000
Training Epoch: 6 [10240/46200]	Loss: 1.3616	LR: 0.100000
Training Epoch: 6 [10496/46200]	Loss: 1.5027	LR: 0.100000
Training Epoch: 6 [10752/46200]	Loss: 1.2620	LR: 0.100000
Training Epoch: 6 [11008/46200]	Loss: 1.5253	LR: 0.100000
Training Epoch: 6 [11264/46200]	Loss: 1.3426	LR: 0.100000
Training Epoch: 6 [11520/46200]	Loss: 1.3507	LR: 0.100000
Training Epoch: 6 [11776/46200]	Loss: 1.3915	LR: 0.100000
Training Epoch: 6 [12032/46200]	Loss: 1.4638	LR: 0.100000
Training Epoch: 6 [12288/46200]	Loss: 1.3443	LR: 0.100000
Training Epoch: 6 [12544/46200]	Loss: 1.3663	LR: 0.100000
Training Epoch: 6 [12800/46200]	Loss: 1.5020	LR: 0.100000
Training Epoch: 6 [13056/46200]	Loss: 1.4201	LR: 0.100000
Training Epoch: 6 [13312/46200]	Loss: 1.4854	LR: 0.100000
Training Epoch: 6 [13568/46200]	Loss: 1.3114	LR: 0.100000
Training Epoch: 6 [13824/46200]	Loss: 1.2989	LR: 0.100000
Training Epoch: 6 [14080/46200]	Loss: 1.3505	LR: 0.100000
Training Epoch: 6 [14336/46200]	Loss: 1.2208	LR: 0.100000
Training Epoch: 6 [14592/46200]	Loss: 1.3659	LR: 0.100000
Training Epoch: 6 [14848/46200]	Loss: 1.2876	LR: 0.100000
Training Epoch: 6 [15104/46200]	Loss: 1.4217	LR: 0.100000
Training Epoch: 6 [15360/46200]	Loss: 1.4029	LR: 0.100000
Training Epoch: 6 [15616/46200]	Loss: 1.2946	LR: 0.100000
Training Epoch: 6 [15872/46200]	Loss: 1.3216	LR: 0.100000
Training Epoch: 6 [16128/46200]	Loss: 1.2602	LR: 0.100000
Training Epoch: 6 [16384/46200]	Loss: 1.4296	LR: 0.100000
Training Epoch: 6 [16640/46200]	Loss: 1.2945	LR: 0.100000
Training Epoch: 6 [16896/46200]	Loss: 1.5536	LR: 0.100000
Training Epoch: 6 [17152/46200]	Loss: 1.5430	LR: 0.100000
Training Epoch: 6 [17408/46200]	Loss: 1.3954	LR: 0.100000
Training Epoch: 6 [17664/46200]	Loss: 1.3767	LR: 0.100000
Training Epoch: 6 [17920/46200]	Loss: 1.4225	LR: 0.100000
Training Epoch: 6 [18176/46200]	Loss: 1.4765	LR: 0.100000
Training Epoch: 6 [18432/46200]	Loss: 1.4884	LR: 0.100000
Training Epoch: 6 [18688/46200]	Loss: 1.4444	LR: 0.100000
Training Epoch: 6 [18944/46200]	Loss: 1.4455	LR: 0.100000
Training Epoch: 6 [19200/46200]	Loss: 1.4038	LR: 0.100000
Training Epoch: 6 [19456/46200]	Loss: 1.4229	LR: 0.100000
Training Epoch: 6 [19712/46200]	Loss: 1.4439	LR: 0.100000
Training Epoch: 6 [19968/46200]	Loss: 1.3339	LR: 0.100000
Training Epoch: 6 [20224/46200]	Loss: 1.4793	LR: 0.100000
Training Epoch: 6 [20480/46200]	Loss: 1.3046	LR: 0.100000
Training Epoch: 6 [20736/46200]	Loss: 1.3560	LR: 0.100000
Training Epoch: 6 [20992/46200]	Loss: 1.4312	LR: 0.100000
Training Epoch: 6 [21248/46200]	Loss: 1.2782	LR: 0.100000
Training Epoch: 6 [21504/46200]	Loss: 1.3360	LR: 0.100000
Training Epoch: 6 [21760/46200]	Loss: 1.5651	LR: 0.100000
Training Epoch: 6 [22016/46200]	Loss: 1.4808	LR: 0.100000
Training Epoch: 6 [22272/46200]	Loss: 1.4196	LR: 0.100000
Training Epoch: 6 [22528/46200]	Loss: 1.4356	LR: 0.100000
Training Epoch: 6 [22784/46200]	Loss: 1.4250	LR: 0.100000
Training Epoch: 6 [23040/46200]	Loss: 1.5143	LR: 0.100000
Training Epoch: 6 [23296/46200]	Loss: 1.3888	LR: 0.100000
Training Epoch: 6 [23552/46200]	Loss: 1.4333	LR: 0.100000
Training Epoch: 6 [23808/46200]	Loss: 1.2993	LR: 0.100000
Training Epoch: 6 [24064/46200]	Loss: 1.4470	LR: 0.100000
Training Epoch: 6 [24320/46200]	Loss: 1.3745	LR: 0.100000
Training Epoch: 6 [24576/46200]	Loss: 1.5787	LR: 0.100000
Training Epoch: 6 [24832/46200]	Loss: 1.3984	LR: 0.100000
Training Epoch: 6 [25088/46200]	Loss: 1.4426	LR: 0.100000
Training Epoch: 6 [25344/46200]	Loss: 1.4212	LR: 0.100000
Training Epoch: 6 [25600/46200]	Loss: 1.5930	LR: 0.100000
Training Epoch: 6 [25856/46200]	Loss: 1.4611	LR: 0.100000
Training Epoch: 6 [26112/46200]	Loss: 1.4013	LR: 0.100000
Training Epoch: 6 [26368/46200]	Loss: 1.3705	LR: 0.100000
Training Epoch: 6 [26624/46200]	Loss: 1.2745	LR: 0.100000
Training Epoch: 6 [26880/46200]	Loss: 1.4671	LR: 0.100000
Training Epoch: 6 [27136/46200]	Loss: 1.4437	LR: 0.100000
Training Epoch: 6 [27392/46200]	Loss: 1.4447	LR: 0.100000
Training Epoch: 6 [27648/46200]	Loss: 1.3801	LR: 0.100000
Training Epoch: 6 [27904/46200]	Loss: 1.5591	LR: 0.100000
Training Epoch: 6 [28160/46200]	Loss: 1.2194	LR: 0.100000
Training Epoch: 6 [28416/46200]	Loss: 1.4392	LR: 0.100000
Training Epoch: 6 [28672/46200]	Loss: 1.2241	LR: 0.100000
Training Epoch: 6 [28928/46200]	Loss: 1.2140	LR: 0.100000
Training Epoch: 6 [29184/46200]	Loss: 1.1773	LR: 0.100000
Training Epoch: 6 [29440/46200]	Loss: 1.3450	LR: 0.100000
Training Epoch: 6 [29696/46200]	Loss: 1.3300	LR: 0.100000
Training Epoch: 6 [29952/46200]	Loss: 1.4101	LR: 0.100000
Training Epoch: 6 [30208/46200]	Loss: 1.2587	LR: 0.100000
Training Epoch: 6 [30464/46200]	Loss: 1.3910	LR: 0.100000
Training Epoch: 6 [30720/46200]	Loss: 1.4717	LR: 0.100000
Training Epoch: 6 [30976/46200]	Loss: 1.2383	LR: 0.100000
Training Epoch: 6 [31232/46200]	Loss: 1.4283	LR: 0.100000
Training Epoch: 6 [31488/46200]	Loss: 1.2684	LR: 0.100000
Training Epoch: 6 [31744/46200]	Loss: 1.4458	LR: 0.100000
Training Epoch: 6 [32000/46200]	Loss: 1.5077	LR: 0.100000
Training Epoch: 6 [32256/46200]	Loss: 1.3546	LR: 0.100000
Training Epoch: 6 [32512/46200]	Loss: 1.2893	LR: 0.100000
Training Epoch: 6 [32768/46200]	Loss: 1.5091	LR: 0.100000
Training Epoch: 6 [33024/46200]	Loss: 1.4038	LR: 0.100000
Training Epoch: 6 [33280/46200]	Loss: 1.3397	LR: 0.100000
Training Epoch: 6 [33536/46200]	Loss: 1.3750	LR: 0.100000
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Training Epoch: 6 [34048/46200]	Loss: 1.3709	LR: 0.100000
Training Epoch: 6 [34304/46200]	Loss: 1.2100	LR: 0.100000
Training Epoch: 6 [34560/46200]	Loss: 1.3744	LR: 0.100000
Training Epoch: 6 [34816/46200]	Loss: 1.3652	LR: 0.100000
Training Epoch: 6 [35072/46200]	Loss: 1.4452	LR: 0.100000
Training Epoch: 6 [35328/46200]	Loss: 1.3539	LR: 0.100000
Training Epoch: 6 [35584/46200]	Loss: 1.4694	LR: 0.100000
Training Epoch: 6 [35840/46200]	Loss: 1.3056	LR: 0.100000
Training Epoch: 6 [36096/46200]	Loss: 1.2951	LR: 0.100000
Training Epoch: 6 [36352/46200]	Loss: 1.2707	LR: 0.100000
Training Epoch: 6 [36608/46200]	Loss: 1.3695	LR: 0.100000
Training Epoch: 6 [36864/46200]	Loss: 1.3106	LR: 0.100000
Training Epoch: 6 [37120/46200]	Loss: 1.4379	LR: 0.100000
Training Epoch: 6 [37376/46200]	Loss: 1.3329	LR: 0.100000
Training Epoch: 6 [37632/46200]	Loss: 1.3187	LR: 0.100000
Training Epoch: 6 [37888/46200]	Loss: 1.3631	LR: 0.100000
Training Epoch: 6 [38144/46200]	Loss: 1.3087	LR: 0.100000
Training Epoch: 6 [38400/46200]	Loss: 1.4181	LR: 0.100000
Training Epoch: 6 [38656/46200]	Loss: 1.5312	LR: 0.100000
Training Epoch: 6 [38912/46200]	Loss: 1.2277	LR: 0.100000
Training Epoch: 6 [39168/46200]	Loss: 1.3986	LR: 0.100000
Training Epoch: 6 [39424/46200]	Loss: 1.4921	LR: 0.100000
Training Epoch: 6 [39680/46200]	Loss: 1.2616	LR: 0.100000
Training Epoch: 6 [39936/46200]	Loss: 1.4128	LR: 0.100000
Training Epoch: 6 [40192/46200]	Loss: 1.4089	LR: 0.100000
Training Epoch: 6 [40448/46200]	Loss: 1.4139	LR: 0.100000
Training Epoch: 6 [40704/46200]	Loss: 1.4195	LR: 0.100000
Training Epoch: 6 [40960/46200]	Loss: 1.4688	LR: 0.100000
Training Epoch: 6 [41216/46200]	Loss: 1.3588	LR: 0.100000
Training Epoch: 6 [41472/46200]	Loss: 1.3544	LR: 0.100000
Training Epoch: 6 [41728/46200]	Loss: 1.3394	LR: 0.100000
Training Epoch: 6 [41984/46200]	Loss: 1.4568	LR: 0.100000
Training Epoch: 6 [42240/46200]	Loss: 1.5366	LR: 0.100000
Training Epoch: 6 [42496/46200]	Loss: 1.4078	LR: 0.100000
Training Epoch: 6 [42752/46200]	Loss: 1.3872	LR: 0.100000
Training Epoch: 6 [43008/46200]	Loss: 1.3122	LR: 0.100000
Training Epoch: 6 [43264/46200]	Loss: 1.3630	LR: 0.100000
Training Epoch: 6 [43520/46200]	Loss: 1.4914	LR: 0.100000
Training Epoch: 6 [43776/46200]	Loss: 1.4018	LR: 0.100000
Training Epoch: 6 [44032/46200]	Loss: 1.2797	LR: 0.100000
Training Epoch: 6 [44288/46200]	Loss: 1.3680	LR: 0.100000
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Training Epoch: 6 [46080/46200]	Loss: 1.3999	LR: 0.100000
Training Epoch: 6 [46200/46200]	Loss: 1.3979	LR: 0.100000
Epoch 6 - Average Train Loss: 1.4018, Train Accuracy: 0.5504
Epoch 6 training time consumed: 27.81s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0060, Accuracy: 0.5437, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_03h_31m_17s/ResNet18-Cifar20-seed7-ret25-6-best.pth
Training Epoch: 7 [256/46200]	Loss: 1.2852	LR: 0.100000
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Training Epoch: 7 [46080/46200]	Loss: 1.2987	LR: 0.100000
Training Epoch: 7 [46200/46200]	Loss: 1.1588	LR: 0.100000
Epoch 7 - Average Train Loss: 1.2934, Train Accuracy: 0.5852
Epoch 7 training time consumed: 27.87s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0060, Accuracy: 0.5338, Time consumed:0.95s
Training Epoch: 8 [256/46200]	Loss: 1.1524	LR: 0.100000
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Training Epoch: 8 [46200/46200]	Loss: 1.1616	LR: 0.100000
Epoch 8 - Average Train Loss: 1.2037, Train Accuracy: 0.6111
Epoch 8 training time consumed: 27.88s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0055, Accuracy: 0.5721, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_03h_31m_17s/ResNet18-Cifar20-seed7-ret25-8-best.pth
Training Epoch: 9 [256/46200]	Loss: 1.1740	LR: 0.100000
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Training Epoch: 9 [46200/46200]	Loss: 1.0739	LR: 0.100000
Epoch 9 - Average Train Loss: 1.1275, Train Accuracy: 0.6374
Epoch 9 training time consumed: 27.77s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0050, Accuracy: 0.6095, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_03h_31m_17s/ResNet18-Cifar20-seed7-ret25-9-best.pth
Training Epoch: 10 [256/46200]	Loss: 1.0192	LR: 0.100000
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Training Epoch: 10 [8448/46200]	Loss: 1.0357	LR: 0.100000
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Training Epoch: 10 [10496/46200]	Loss: 0.9635	LR: 0.100000
Training Epoch: 10 [10752/46200]	Loss: 1.0263	LR: 0.100000
Training Epoch: 10 [11008/46200]	Loss: 1.0987	LR: 0.100000
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Training Epoch: 10 [11520/46200]	Loss: 1.1400	LR: 0.100000
Training Epoch: 10 [11776/46200]	Loss: 1.1496	LR: 0.100000
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Training Epoch: 10 [12800/46200]	Loss: 1.1905	LR: 0.100000
Training Epoch: 10 [13056/46200]	Loss: 1.1175	LR: 0.100000
Training Epoch: 10 [13312/46200]	Loss: 1.0765	LR: 0.100000
Training Epoch: 10 [13568/46200]	Loss: 1.1998	LR: 0.100000
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Training Epoch: 10 [15616/46200]	Loss: 0.9819	LR: 0.100000
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Training Epoch: 10 [16896/46200]	Loss: 1.0811	LR: 0.100000
Training Epoch: 10 [17152/46200]	Loss: 0.9626	LR: 0.100000
Training Epoch: 10 [17408/46200]	Loss: 1.0383	LR: 0.100000
Training Epoch: 10 [17664/46200]	Loss: 1.0574	LR: 0.100000
Training Epoch: 10 [17920/46200]	Loss: 1.0841	LR: 0.100000
Training Epoch: 10 [18176/46200]	Loss: 1.1257	LR: 0.100000
Training Epoch: 10 [18432/46200]	Loss: 0.9777	LR: 0.100000
Training Epoch: 10 [18688/46200]	Loss: 0.9930	LR: 0.100000
Training Epoch: 10 [18944/46200]	Loss: 1.1907	LR: 0.100000
Training Epoch: 10 [19200/46200]	Loss: 1.1366	LR: 0.100000
Training Epoch: 10 [19456/46200]	Loss: 1.1486	LR: 0.100000
Training Epoch: 10 [19712/46200]	Loss: 1.0526	LR: 0.100000
Training Epoch: 10 [19968/46200]	Loss: 1.0609	LR: 0.100000
Training Epoch: 10 [20224/46200]	Loss: 0.9886	LR: 0.100000
Training Epoch: 10 [20480/46200]	Loss: 1.0977	LR: 0.100000
Training Epoch: 10 [20736/46200]	Loss: 1.1583	LR: 0.100000
Training Epoch: 10 [20992/46200]	Loss: 1.0513	LR: 0.100000
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Training Epoch: 10 [21504/46200]	Loss: 1.0351	LR: 0.100000
Training Epoch: 10 [21760/46200]	Loss: 1.1029	LR: 0.100000
Training Epoch: 10 [22016/46200]	Loss: 1.0453	LR: 0.100000
Training Epoch: 10 [22272/46200]	Loss: 1.1188	LR: 0.100000
Training Epoch: 10 [22528/46200]	Loss: 0.9985	LR: 0.100000
Training Epoch: 10 [22784/46200]	Loss: 1.1784	LR: 0.100000
Training Epoch: 10 [23040/46200]	Loss: 1.1114	LR: 0.100000
Training Epoch: 10 [23296/46200]	Loss: 0.8564	LR: 0.100000
Training Epoch: 10 [23552/46200]	Loss: 1.1112	LR: 0.100000
Training Epoch: 10 [23808/46200]	Loss: 1.1262	LR: 0.100000
Training Epoch: 10 [24064/46200]	Loss: 1.1064	LR: 0.100000
Training Epoch: 10 [24320/46200]	Loss: 1.0266	LR: 0.100000
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Training Epoch: 10 [24832/46200]	Loss: 1.0299	LR: 0.100000
Training Epoch: 10 [25088/46200]	Loss: 1.0491	LR: 0.100000
Training Epoch: 10 [25344/46200]	Loss: 0.9454	LR: 0.100000
Training Epoch: 10 [25600/46200]	Loss: 0.9898	LR: 0.100000
Training Epoch: 10 [25856/46200]	Loss: 0.9813	LR: 0.100000
Training Epoch: 10 [26112/46200]	Loss: 1.0339	LR: 0.100000
Training Epoch: 10 [26368/46200]	Loss: 1.0254	LR: 0.100000
Training Epoch: 10 [26624/46200]	Loss: 1.0470	LR: 0.100000
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Training Epoch: 10 [27136/46200]	Loss: 1.1254	LR: 0.100000
Training Epoch: 10 [27392/46200]	Loss: 1.0430	LR: 0.100000
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Training Epoch: 10 [27904/46200]	Loss: 1.1071	LR: 0.100000
Training Epoch: 10 [28160/46200]	Loss: 1.1263	LR: 0.100000
Training Epoch: 10 [28416/46200]	Loss: 1.0597	LR: 0.100000
Training Epoch: 10 [28672/46200]	Loss: 1.1105	LR: 0.100000
Training Epoch: 10 [28928/46200]	Loss: 1.0392	LR: 0.100000
Training Epoch: 10 [29184/46200]	Loss: 1.0925	LR: 0.100000
Training Epoch: 10 [29440/46200]	Loss: 1.0303	LR: 0.100000
Training Epoch: 10 [29696/46200]	Loss: 0.9629	LR: 0.100000
Training Epoch: 10 [29952/46200]	Loss: 1.0224	LR: 0.100000
Training Epoch: 10 [30208/46200]	Loss: 0.9912	LR: 0.100000
Training Epoch: 10 [30464/46200]	Loss: 0.9823	LR: 0.100000
Training Epoch: 10 [30720/46200]	Loss: 0.9868	LR: 0.100000
Training Epoch: 10 [30976/46200]	Loss: 1.1034	LR: 0.100000
Training Epoch: 10 [31232/46200]	Loss: 0.9532	LR: 0.100000
Training Epoch: 10 [31488/46200]	Loss: 1.0968	LR: 0.100000
Training Epoch: 10 [31744/46200]	Loss: 0.9598	LR: 0.100000
Training Epoch: 10 [32000/46200]	Loss: 1.0294	LR: 0.100000
Training Epoch: 10 [32256/46200]	Loss: 0.9795	LR: 0.100000
Training Epoch: 10 [32512/46200]	Loss: 0.8802	LR: 0.100000
Training Epoch: 10 [32768/46200]	Loss: 0.9802	LR: 0.100000
Training Epoch: 10 [33024/46200]	Loss: 1.0093	LR: 0.100000
Training Epoch: 10 [33280/46200]	Loss: 1.0172	LR: 0.100000
Training Epoch: 10 [33536/46200]	Loss: 0.8771	LR: 0.100000
Training Epoch: 10 [33792/46200]	Loss: 1.2511	LR: 0.100000
Training Epoch: 10 [34048/46200]	Loss: 1.0213	LR: 0.100000
Training Epoch: 10 [34304/46200]	Loss: 1.0863	LR: 0.100000
Training Epoch: 10 [34560/46200]	Loss: 1.1802	LR: 0.100000
Training Epoch: 10 [34816/46200]	Loss: 0.9960	LR: 0.100000
Training Epoch: 10 [35072/46200]	Loss: 1.1313	LR: 0.100000
Training Epoch: 10 [35328/46200]	Loss: 1.0208	LR: 0.100000
Training Epoch: 10 [35584/46200]	Loss: 1.0511	LR: 0.100000
Training Epoch: 10 [35840/46200]	Loss: 0.9965	LR: 0.100000
Training Epoch: 10 [36096/46200]	Loss: 0.9123	LR: 0.100000
Training Epoch: 10 [36352/46200]	Loss: 0.9893	LR: 0.100000
Training Epoch: 10 [36608/46200]	Loss: 1.1731	LR: 0.100000
Training Epoch: 10 [36864/46200]	Loss: 0.9408	LR: 0.100000
Training Epoch: 10 [37120/46200]	Loss: 1.1641	LR: 0.100000
Training Epoch: 10 [37376/46200]	Loss: 1.2221	LR: 0.100000
Training Epoch: 10 [37632/46200]	Loss: 0.9446	LR: 0.100000
Training Epoch: 10 [37888/46200]	Loss: 1.0070	LR: 0.100000
Training Epoch: 10 [38144/46200]	Loss: 1.0444	LR: 0.100000
Training Epoch: 10 [38400/46200]	Loss: 1.0550	LR: 0.100000
Training Epoch: 10 [38656/46200]	Loss: 1.0683	LR: 0.100000
Training Epoch: 10 [38912/46200]	Loss: 1.0774	LR: 0.100000
Training Epoch: 10 [39168/46200]	Loss: 1.1269	LR: 0.100000
Training Epoch: 10 [39424/46200]	Loss: 1.0112	LR: 0.100000
Training Epoch: 10 [39680/46200]	Loss: 1.0589	LR: 0.100000
Training Epoch: 10 [39936/46200]	Loss: 0.9596	LR: 0.100000
Training Epoch: 10 [40192/46200]	Loss: 0.9586	LR: 0.100000
Training Epoch: 10 [40448/46200]	Loss: 1.0338	LR: 0.100000
Training Epoch: 10 [40704/46200]	Loss: 1.0334	LR: 0.100000
Training Epoch: 10 [40960/46200]	Loss: 1.0503	LR: 0.100000
Training Epoch: 10 [41216/46200]	Loss: 1.0726	LR: 0.100000
Training Epoch: 10 [41472/46200]	Loss: 1.1053	LR: 0.100000
Training Epoch: 10 [41728/46200]	Loss: 0.9989	LR: 0.100000
Training Epoch: 10 [41984/46200]	Loss: 1.0106	LR: 0.100000
Training Epoch: 10 [42240/46200]	Loss: 1.0855	LR: 0.100000
Training Epoch: 10 [42496/46200]	Loss: 0.9804	LR: 0.100000
Training Epoch: 10 [42752/46200]	Loss: 1.0359	LR: 0.100000
Training Epoch: 10 [43008/46200]	Loss: 1.0069	LR: 0.100000
Training Epoch: 10 [43264/46200]	Loss: 1.0266	LR: 0.100000
Training Epoch: 10 [43520/46200]	Loss: 1.1143	LR: 0.100000
Training Epoch: 10 [43776/46200]	Loss: 0.9892	LR: 0.100000
Training Epoch: 10 [44032/46200]	Loss: 1.1892	LR: 0.100000
Training Epoch: 10 [44288/46200]	Loss: 1.0210	LR: 0.100000
Training Epoch: 10 [44544/46200]	Loss: 1.1215	LR: 0.100000
Training Epoch: 10 [44800/46200]	Loss: 1.0886	LR: 0.100000
Training Epoch: 10 [45056/46200]	Loss: 1.0170	LR: 0.100000
Training Epoch: 10 [45312/46200]	Loss: 1.0303	LR: 0.100000
Training Epoch: 10 [45568/46200]	Loss: 1.0358	LR: 0.100000
Training Epoch: 10 [45824/46200]	Loss: 1.1212	LR: 0.100000
Training Epoch: 10 [46080/46200]	Loss: 0.9516	LR: 0.100000
Training Epoch: 10 [46200/46200]	Loss: 1.1962	LR: 0.100000
Epoch 10 - Average Train Loss: 1.0630, Train Accuracy: 0.6564
Epoch 10 training time consumed: 27.87s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0050, Accuracy: 0.6052, Time consumed:0.97s
Training Epoch: 11 [256/46200]	Loss: 1.0643	LR: 0.100000
Training Epoch: 11 [512/46200]	Loss: 1.0101	LR: 0.100000
Training Epoch: 11 [768/46200]	Loss: 0.9433	LR: 0.100000
Training Epoch: 11 [1024/46200]	Loss: 0.9648	LR: 0.100000
Training Epoch: 11 [1280/46200]	Loss: 0.9016	LR: 0.100000
Training Epoch: 11 [1536/46200]	Loss: 0.9180	LR: 0.100000
Training Epoch: 11 [1792/46200]	Loss: 0.9594	LR: 0.100000
Training Epoch: 11 [2048/46200]	Loss: 0.9517	LR: 0.100000
Training Epoch: 11 [2304/46200]	Loss: 1.0033	LR: 0.100000
Training Epoch: 11 [2560/46200]	Loss: 1.0329	LR: 0.100000
Training Epoch: 11 [2816/46200]	Loss: 1.0471	LR: 0.100000
Training Epoch: 11 [3072/46200]	Loss: 1.0781	LR: 0.100000
Training Epoch: 11 [3328/46200]	Loss: 0.9304	LR: 0.100000
Training Epoch: 11 [3584/46200]	Loss: 1.0588	LR: 0.100000
Training Epoch: 11 [3840/46200]	Loss: 1.0907	LR: 0.100000
Training Epoch: 11 [4096/46200]	Loss: 1.0151	LR: 0.100000
Training Epoch: 11 [4352/46200]	Loss: 0.7602	LR: 0.100000
Training Epoch: 11 [4608/46200]	Loss: 0.8249	LR: 0.100000
Training Epoch: 11 [4864/46200]	Loss: 0.9511	LR: 0.100000
Training Epoch: 11 [5120/46200]	Loss: 1.0703	LR: 0.100000
Training Epoch: 11 [5376/46200]	Loss: 1.0569	LR: 0.100000
Training Epoch: 11 [5632/46200]	Loss: 1.0034	LR: 0.100000
Training Epoch: 11 [5888/46200]	Loss: 0.9528	LR: 0.100000
Training Epoch: 11 [6144/46200]	Loss: 0.8928	LR: 0.100000
Training Epoch: 11 [6400/46200]	Loss: 0.9825	LR: 0.100000
Training Epoch: 11 [6656/46200]	Loss: 0.9188	LR: 0.100000
Training Epoch: 11 [6912/46200]	Loss: 0.8280	LR: 0.100000
Training Epoch: 11 [7168/46200]	Loss: 0.9179	LR: 0.100000
Training Epoch: 11 [7424/46200]	Loss: 0.9719	LR: 0.100000
Training Epoch: 11 [7680/46200]	Loss: 1.0103	LR: 0.100000
Training Epoch: 11 [7936/46200]	Loss: 0.8795	LR: 0.100000
Training Epoch: 11 [8192/46200]	Loss: 0.9564	LR: 0.100000
Training Epoch: 11 [8448/46200]	Loss: 1.0103	LR: 0.100000
Training Epoch: 11 [8704/46200]	Loss: 0.9002	LR: 0.100000
Training Epoch: 11 [8960/46200]	Loss: 0.9318	LR: 0.100000
Training Epoch: 11 [9216/46200]	Loss: 1.0258	LR: 0.100000
Training Epoch: 11 [9472/46200]	Loss: 0.9199	LR: 0.100000
Training Epoch: 11 [9728/46200]	Loss: 0.9542	LR: 0.100000
Training Epoch: 11 [9984/46200]	Loss: 1.0486	LR: 0.100000
Training Epoch: 11 [10240/46200]	Loss: 1.0049	LR: 0.100000
Training Epoch: 11 [10496/46200]	Loss: 0.9206	LR: 0.100000
Training Epoch: 11 [10752/46200]	Loss: 1.1586	LR: 0.100000
Training Epoch: 11 [11008/46200]	Loss: 1.0983	LR: 0.100000
Training Epoch: 11 [11264/46200]	Loss: 1.0170	LR: 0.100000
Training Epoch: 11 [11520/46200]	Loss: 1.0732	LR: 0.100000
Training Epoch: 11 [11776/46200]	Loss: 0.8754	LR: 0.100000
Training Epoch: 11 [12032/46200]	Loss: 1.0454	LR: 0.100000
Training Epoch: 11 [12288/46200]	Loss: 0.9739	LR: 0.100000
Training Epoch: 11 [12544/46200]	Loss: 0.9789	LR: 0.100000
Training Epoch: 11 [12800/46200]	Loss: 1.1644	LR: 0.100000
Training Epoch: 11 [13056/46200]	Loss: 0.9868	LR: 0.100000
Training Epoch: 11 [13312/46200]	Loss: 0.9995	LR: 0.100000
Training Epoch: 11 [13568/46200]	Loss: 1.0096	LR: 0.100000
Training Epoch: 11 [13824/46200]	Loss: 1.0392	LR: 0.100000
Training Epoch: 11 [14080/46200]	Loss: 1.1833	LR: 0.100000
Training Epoch: 11 [14336/46200]	Loss: 1.0695	LR: 0.100000
Training Epoch: 11 [14592/46200]	Loss: 1.1662	LR: 0.100000
Training Epoch: 11 [14848/46200]	Loss: 1.0746	LR: 0.100000
Training Epoch: 11 [15104/46200]	Loss: 0.9519	LR: 0.100000
Training Epoch: 11 [15360/46200]	Loss: 1.1548	LR: 0.100000
Training Epoch: 11 [15616/46200]	Loss: 1.0659	LR: 0.100000
Training Epoch: 11 [15872/46200]	Loss: 1.0751	LR: 0.100000
Training Epoch: 11 [16128/46200]	Loss: 0.8803	LR: 0.100000
Training Epoch: 11 [16384/46200]	Loss: 1.0566	LR: 0.100000
Training Epoch: 11 [16640/46200]	Loss: 1.0902	LR: 0.100000
Training Epoch: 11 [16896/46200]	Loss: 0.9659	LR: 0.100000
Training Epoch: 11 [17152/46200]	Loss: 0.9777	LR: 0.100000
Training Epoch: 11 [17408/46200]	Loss: 1.0726	LR: 0.100000
Training Epoch: 11 [17664/46200]	Loss: 0.9947	LR: 0.100000
Training Epoch: 11 [17920/46200]	Loss: 1.1580	LR: 0.100000
Training Epoch: 11 [18176/46200]	Loss: 1.0741	LR: 0.100000
Training Epoch: 11 [18432/46200]	Loss: 1.0908	LR: 0.100000
Training Epoch: 11 [18688/46200]	Loss: 1.0220	LR: 0.100000
Training Epoch: 11 [18944/46200]	Loss: 1.1620	LR: 0.100000
Training Epoch: 11 [19200/46200]	Loss: 1.1840	LR: 0.100000
Training Epoch: 11 [19456/46200]	Loss: 1.0816	LR: 0.100000
Training Epoch: 11 [19712/46200]	Loss: 1.1013	LR: 0.100000
Training Epoch: 11 [19968/46200]	Loss: 1.1464	LR: 0.100000
Training Epoch: 11 [20224/46200]	Loss: 1.0974	LR: 0.100000
Training Epoch: 11 [20480/46200]	Loss: 1.0030	LR: 0.100000
Training Epoch: 11 [20736/46200]	Loss: 0.9759	LR: 0.100000
Training Epoch: 11 [20992/46200]	Loss: 0.8986	LR: 0.100000
Training Epoch: 11 [21248/46200]	Loss: 0.9856	LR: 0.100000
Training Epoch: 11 [21504/46200]	Loss: 0.9575	LR: 0.100000
Training Epoch: 11 [21760/46200]	Loss: 0.9607	LR: 0.100000
Training Epoch: 11 [22016/46200]	Loss: 0.9712	LR: 0.100000
Training Epoch: 11 [22272/46200]	Loss: 1.0744	LR: 0.100000
Training Epoch: 11 [22528/46200]	Loss: 0.9608	LR: 0.100000
Training Epoch: 11 [22784/46200]	Loss: 1.1861	LR: 0.100000
Training Epoch: 11 [23040/46200]	Loss: 1.0140	LR: 0.100000
Training Epoch: 11 [23296/46200]	Loss: 1.0795	LR: 0.100000
Training Epoch: 11 [23552/46200]	Loss: 1.0760	LR: 0.100000
Training Epoch: 11 [23808/46200]	Loss: 1.0284	LR: 0.100000
Training Epoch: 11 [24064/46200]	Loss: 1.0401	LR: 0.100000
Training Epoch: 11 [24320/46200]	Loss: 0.9918	LR: 0.100000
Training Epoch: 11 [24576/46200]	Loss: 1.1994	LR: 0.100000
Training Epoch: 11 [24832/46200]	Loss: 1.0880	LR: 0.100000
Training Epoch: 11 [25088/46200]	Loss: 1.0102	LR: 0.100000
Training Epoch: 11 [25344/46200]	Loss: 1.0060	LR: 0.100000
Training Epoch: 11 [25600/46200]	Loss: 1.1906	LR: 0.100000
Training Epoch: 11 [25856/46200]	Loss: 0.9989	LR: 0.100000
Training Epoch: 11 [26112/46200]	Loss: 1.1080	LR: 0.100000
Training Epoch: 11 [26368/46200]	Loss: 1.1133	LR: 0.100000
Training Epoch: 11 [26624/46200]	Loss: 0.9931	LR: 0.100000
Training Epoch: 11 [26880/46200]	Loss: 1.1284	LR: 0.100000
Training Epoch: 11 [27136/46200]	Loss: 0.9714	LR: 0.100000
Training Epoch: 11 [27392/46200]	Loss: 1.1380	LR: 0.100000
Training Epoch: 11 [27648/46200]	Loss: 0.9530	LR: 0.100000
Training Epoch: 11 [27904/46200]	Loss: 1.0942	LR: 0.100000
Training Epoch: 11 [28160/46200]	Loss: 0.9672	LR: 0.100000
Training Epoch: 11 [28416/46200]	Loss: 1.0265	LR: 0.100000
Training Epoch: 11 [28672/46200]	Loss: 0.9682	LR: 0.100000
Training Epoch: 11 [28928/46200]	Loss: 1.0044	LR: 0.100000
Training Epoch: 11 [29184/46200]	Loss: 1.0784	LR: 0.100000
Training Epoch: 11 [29440/46200]	Loss: 0.9779	LR: 0.100000
Training Epoch: 11 [29696/46200]	Loss: 1.2083	LR: 0.100000
Training Epoch: 11 [29952/46200]	Loss: 0.9423	LR: 0.100000
Training Epoch: 11 [30208/46200]	Loss: 0.9924	LR: 0.100000
Training Epoch: 11 [30464/46200]	Loss: 1.0555	LR: 0.100000
Training Epoch: 11 [30720/46200]	Loss: 1.0086	LR: 0.100000
Training Epoch: 11 [30976/46200]	Loss: 0.9833	LR: 0.100000
Training Epoch: 11 [31232/46200]	Loss: 0.9950	LR: 0.100000
Training Epoch: 11 [31488/46200]	Loss: 1.0090	LR: 0.100000
Training Epoch: 11 [31744/46200]	Loss: 0.9031	LR: 0.100000
Training Epoch: 11 [32000/46200]	Loss: 0.9915	LR: 0.100000
Training Epoch: 11 [32256/46200]	Loss: 1.0113	LR: 0.100000
Training Epoch: 11 [32512/46200]	Loss: 0.9268	LR: 0.100000
Training Epoch: 11 [32768/46200]	Loss: 0.9101	LR: 0.100000
Training Epoch: 11 [33024/46200]	Loss: 1.1763	LR: 0.100000
Training Epoch: 11 [33280/46200]	Loss: 1.0389	LR: 0.100000
Training Epoch: 11 [33536/46200]	Loss: 1.0540	LR: 0.100000
Training Epoch: 11 [33792/46200]	Loss: 0.9336	LR: 0.100000
Training Epoch: 11 [34048/46200]	Loss: 1.1065	LR: 0.100000
Training Epoch: 11 [34304/46200]	Loss: 0.9850	LR: 0.100000
Training Epoch: 11 [34560/46200]	Loss: 0.9901	LR: 0.100000
Training Epoch: 11 [34816/46200]	Loss: 0.9328	LR: 0.100000
Training Epoch: 11 [35072/46200]	Loss: 0.9741	LR: 0.100000
Training Epoch: 11 [35328/46200]	Loss: 1.0935	LR: 0.100000
Training Epoch: 11 [35584/46200]	Loss: 1.0032	LR: 0.100000
Training Epoch: 11 [35840/46200]	Loss: 0.9009	LR: 0.100000
Training Epoch: 11 [36096/46200]	Loss: 0.9612	LR: 0.100000
Training Epoch: 11 [36352/46200]	Loss: 1.0370	LR: 0.100000
Training Epoch: 11 [36608/46200]	Loss: 0.9915	LR: 0.100000
Training Epoch: 11 [36864/46200]	Loss: 0.9973	LR: 0.100000
Training Epoch: 11 [37120/46200]	Loss: 0.9436	LR: 0.100000
Training Epoch: 11 [37376/46200]	Loss: 1.0486	LR: 0.100000
Training Epoch: 11 [37632/46200]	Loss: 1.0629	LR: 0.100000
Training Epoch: 11 [37888/46200]	Loss: 1.0930	LR: 0.100000
Training Epoch: 11 [38144/46200]	Loss: 1.0203	LR: 0.100000
Training Epoch: 11 [38400/46200]	Loss: 0.9700	LR: 0.100000
Training Epoch: 11 [38656/46200]	Loss: 1.1996	LR: 0.100000
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Training Epoch: 11 [46200/46200]	Loss: 1.2194	LR: 0.100000
Epoch 11 - Average Train Loss: 1.0181, Train Accuracy: 0.6718
Epoch 11 training time consumed: 27.95s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0050, Accuracy: 0.6086, Time consumed:0.89s
Training Epoch: 12 [256/46200]	Loss: 1.0398	LR: 0.100000
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Training Epoch: 12 [46200/46200]	Loss: 0.7986	LR: 0.100000
Epoch 12 - Average Train Loss: 0.9710, Train Accuracy: 0.6875
Epoch 12 training time consumed: 27.80s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0052, Accuracy: 0.6108, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_03h_31m_17s/ResNet18-Cifar20-seed7-ret25-12-best.pth
Training Epoch: 13 [256/46200]	Loss: 0.9211	LR: 0.100000
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Training Epoch: 13 [46200/46200]	Loss: 0.8233	LR: 0.100000
Epoch 13 - Average Train Loss: 0.9393, Train Accuracy: 0.6945
Epoch 13 training time consumed: 27.78s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0046, Accuracy: 0.6385, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_03h_31m_17s/ResNet18-Cifar20-seed7-ret25-13-best.pth
Training Epoch: 14 [256/46200]	Loss: 0.9546	LR: 0.100000
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Training Epoch: 14 [46200/46200]	Loss: 1.0365	LR: 0.100000
Epoch 14 - Average Train Loss: 0.9062, Train Accuracy: 0.7049
Epoch 14 training time consumed: 27.77s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0041, Accuracy: 0.6753, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_03h_31m_17s/ResNet18-Cifar20-seed7-ret25-14-best.pth
Training Epoch: 15 [256/46200]	Loss: 0.7210	LR: 0.020000
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Training Epoch: 15 [46200/46200]	Loss: 0.6205	LR: 0.020000
Epoch 15 - Average Train Loss: 0.6632, Train Accuracy: 0.7841
Epoch 15 training time consumed: 28.01s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0029, Accuracy: 0.7630, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_03h_31m_17s/ResNet18-Cifar20-seed7-ret25-15-best.pth
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Training Epoch: 16 [46200/46200]	Loss: 0.4497	LR: 0.020000
Epoch 16 - Average Train Loss: 0.5836, Train Accuracy: 0.8095
Epoch 16 training time consumed: 27.85s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0029, Accuracy: 0.7651, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_03h_31m_17s/ResNet18-Cifar20-seed7-ret25-16-best.pth
Training Epoch: 17 [256/46200]	Loss: 0.5642	LR: 0.020000
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Training Epoch: 17 [46200/46200]	Loss: 0.5910	LR: 0.020000
Epoch 17 - Average Train Loss: 0.5475, Train Accuracy: 0.8207
Epoch 17 training time consumed: 27.81s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0030, Accuracy: 0.7639, Time consumed:0.91s
Training Epoch: 18 [256/46200]	Loss: 0.4885	LR: 0.020000
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Training Epoch: 18 [46200/46200]	Loss: 0.5663	LR: 0.020000
Epoch 18 - Average Train Loss: 0.5143, Train Accuracy: 0.8300
Epoch 18 training time consumed: 27.93s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0029, Accuracy: 0.7742, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_03h_31m_17s/ResNet18-Cifar20-seed7-ret25-18-best.pth
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Training Epoch: 19 [36608/46200]	Loss: 0.4144	LR: 0.020000
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Training Epoch: 19 [37120/46200]	Loss: 0.5442	LR: 0.020000
Training Epoch: 19 [37376/46200]	Loss: 0.4766	LR: 0.020000
Training Epoch: 19 [37632/46200]	Loss: 0.5037	LR: 0.020000
Training Epoch: 19 [37888/46200]	Loss: 0.3845	LR: 0.020000
Training Epoch: 19 [38144/46200]	Loss: 0.4951	LR: 0.020000
Training Epoch: 19 [38400/46200]	Loss: 0.6241	LR: 0.020000
Training Epoch: 19 [38656/46200]	Loss: 0.5455	LR: 0.020000
Training Epoch: 19 [38912/46200]	Loss: 0.5333	LR: 0.020000
Training Epoch: 19 [39168/46200]	Loss: 0.6029	LR: 0.020000
Training Epoch: 19 [39424/46200]	Loss: 0.4405	LR: 0.020000
Training Epoch: 19 [39680/46200]	Loss: 0.6143	LR: 0.020000
Training Epoch: 19 [39936/46200]	Loss: 0.5045	LR: 0.020000
Training Epoch: 19 [40192/46200]	Loss: 0.4948	LR: 0.020000
Training Epoch: 19 [40448/46200]	Loss: 0.4836	LR: 0.020000
Training Epoch: 19 [40704/46200]	Loss: 0.5108	LR: 0.020000
Training Epoch: 19 [40960/46200]	Loss: 0.6109	LR: 0.020000
Training Epoch: 19 [41216/46200]	Loss: 0.5028	LR: 0.020000
Training Epoch: 19 [41472/46200]	Loss: 0.5134	LR: 0.020000
Training Epoch: 19 [41728/46200]	Loss: 0.4799	LR: 0.020000
Training Epoch: 19 [41984/46200]	Loss: 0.4962	LR: 0.020000
Training Epoch: 19 [42240/46200]	Loss: 0.4458	LR: 0.020000
Training Epoch: 19 [42496/46200]	Loss: 0.4717	LR: 0.020000
Training Epoch: 19 [42752/46200]	Loss: 0.5445	LR: 0.020000
Training Epoch: 19 [43008/46200]	Loss: 0.5987	LR: 0.020000
Training Epoch: 19 [43264/46200]	Loss: 0.4094	LR: 0.020000
Training Epoch: 19 [43520/46200]	Loss: 0.4708	LR: 0.020000
Training Epoch: 19 [43776/46200]	Loss: 0.5678	LR: 0.020000
Training Epoch: 19 [44032/46200]	Loss: 0.4931	LR: 0.020000
Training Epoch: 19 [44288/46200]	Loss: 0.4796	LR: 0.020000
Training Epoch: 19 [44544/46200]	Loss: 0.5067	LR: 0.020000
Training Epoch: 19 [44800/46200]	Loss: 0.4185	LR: 0.020000
Training Epoch: 19 [45056/46200]	Loss: 0.4303	LR: 0.020000
Training Epoch: 19 [45312/46200]	Loss: 0.4507	LR: 0.020000
Training Epoch: 19 [45568/46200]	Loss: 0.4289	LR: 0.020000
Training Epoch: 19 [45824/46200]	Loss: 0.5587	LR: 0.020000
Training Epoch: 19 [46080/46200]	Loss: 0.4845	LR: 0.020000
Training Epoch: 19 [46200/46200]	Loss: 0.4533	LR: 0.020000
Epoch 19 - Average Train Loss: 0.4947, Train Accuracy: 0.8362
Epoch 19 training time consumed: 28.13s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0029, Accuracy: 0.7738, Time consumed:0.91s
Training Epoch: 20 [256/46200]	Loss: 0.4896	LR: 0.020000
Training Epoch: 20 [512/46200]	Loss: 0.4352	LR: 0.020000
Training Epoch: 20 [768/46200]	Loss: 0.4490	LR: 0.020000
Training Epoch: 20 [1024/46200]	Loss: 0.4865	LR: 0.020000
Training Epoch: 20 [1280/46200]	Loss: 0.4068	LR: 0.020000
Training Epoch: 20 [1536/46200]	Loss: 0.4535	LR: 0.020000
Training Epoch: 20 [1792/46200]	Loss: 0.3327	LR: 0.020000
Training Epoch: 20 [2048/46200]	Loss: 0.3890	LR: 0.020000
Training Epoch: 20 [2304/46200]	Loss: 0.3869	LR: 0.020000
Training Epoch: 20 [2560/46200]	Loss: 0.5014	LR: 0.020000
Training Epoch: 20 [2816/46200]	Loss: 0.4340	LR: 0.020000
Training Epoch: 20 [3072/46200]	Loss: 0.4713	LR: 0.020000
Training Epoch: 20 [3328/46200]	Loss: 0.4933	LR: 0.020000
Training Epoch: 20 [3584/46200]	Loss: 0.3227	LR: 0.020000
Training Epoch: 20 [3840/46200]	Loss: 0.4302	LR: 0.020000
Training Epoch: 20 [4096/46200]	Loss: 0.3745	LR: 0.020000
Training Epoch: 20 [4352/46200]	Loss: 0.3549	LR: 0.020000
Training Epoch: 20 [4608/46200]	Loss: 0.4319	LR: 0.020000
Training Epoch: 20 [4864/46200]	Loss: 0.4628	LR: 0.020000
Training Epoch: 20 [5120/46200]	Loss: 0.4474	LR: 0.020000
Training Epoch: 20 [5376/46200]	Loss: 0.4801	LR: 0.020000
Training Epoch: 20 [5632/46200]	Loss: 0.3991	LR: 0.020000
Training Epoch: 20 [5888/46200]	Loss: 0.5512	LR: 0.020000
Training Epoch: 20 [6144/46200]	Loss: 0.3801	LR: 0.020000
Training Epoch: 20 [6400/46200]	Loss: 0.4270	LR: 0.020000
Training Epoch: 20 [6656/46200]	Loss: 0.4593	LR: 0.020000
Training Epoch: 20 [6912/46200]	Loss: 0.3800	LR: 0.020000
Training Epoch: 20 [7168/46200]	Loss: 0.4289	LR: 0.020000
Training Epoch: 20 [7424/46200]	Loss: 0.5162	LR: 0.020000
Training Epoch: 20 [7680/46200]	Loss: 0.4250	LR: 0.020000
Training Epoch: 20 [7936/46200]	Loss: 0.4974	LR: 0.020000
Training Epoch: 20 [8192/46200]	Loss: 0.6342	LR: 0.020000
Training Epoch: 20 [8448/46200]	Loss: 0.4953	LR: 0.020000
Training Epoch: 20 [8704/46200]	Loss: 0.4468	LR: 0.020000
Training Epoch: 20 [8960/46200]	Loss: 0.3943	LR: 0.020000
Training Epoch: 20 [9216/46200]	Loss: 0.4226	LR: 0.020000
Training Epoch: 20 [9472/46200]	Loss: 0.4182	LR: 0.020000
Training Epoch: 20 [9728/46200]	Loss: 0.5341	LR: 0.020000
Training Epoch: 20 [9984/46200]	Loss: 0.4679	LR: 0.020000
Training Epoch: 20 [10240/46200]	Loss: 0.4731	LR: 0.020000
Training Epoch: 20 [10496/46200]	Loss: 0.4393	LR: 0.020000
Training Epoch: 20 [10752/46200]	Loss: 0.4770	LR: 0.020000
Training Epoch: 20 [11008/46200]	Loss: 0.5113	LR: 0.020000
Training Epoch: 20 [11264/46200]	Loss: 0.3584	LR: 0.020000
Training Epoch: 20 [11520/46200]	Loss: 0.4147	LR: 0.020000
Training Epoch: 20 [11776/46200]	Loss: 0.4583	LR: 0.020000
Training Epoch: 20 [12032/46200]	Loss: 0.4104	LR: 0.020000
Training Epoch: 20 [12288/46200]	Loss: 0.5090	LR: 0.020000
Training Epoch: 20 [12544/46200]	Loss: 0.4158	LR: 0.020000
Training Epoch: 20 [12800/46200]	Loss: 0.4905	LR: 0.020000
Training Epoch: 20 [13056/46200]	Loss: 0.4545	LR: 0.020000
Training Epoch: 20 [13312/46200]	Loss: 0.4214	LR: 0.020000
Training Epoch: 20 [13568/46200]	Loss: 0.3833	LR: 0.020000
Training Epoch: 20 [13824/46200]	Loss: 0.4305	LR: 0.020000
Training Epoch: 20 [14080/46200]	Loss: 0.4632	LR: 0.020000
Training Epoch: 20 [14336/46200]	Loss: 0.4484	LR: 0.020000
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Training Epoch: 20 [15104/46200]	Loss: 0.4988	LR: 0.020000
Training Epoch: 20 [15360/46200]	Loss: 0.4527	LR: 0.020000
Training Epoch: 20 [15616/46200]	Loss: 0.3993	LR: 0.020000
Training Epoch: 20 [15872/46200]	Loss: 0.5904	LR: 0.020000
Training Epoch: 20 [16128/46200]	Loss: 0.4091	LR: 0.020000
Training Epoch: 20 [16384/46200]	Loss: 0.4493	LR: 0.020000
Training Epoch: 20 [16640/46200]	Loss: 0.5346	LR: 0.020000
Training Epoch: 20 [16896/46200]	Loss: 0.4742	LR: 0.020000
Training Epoch: 20 [17152/46200]	Loss: 0.4784	LR: 0.020000
Training Epoch: 20 [17408/46200]	Loss: 0.3787	LR: 0.020000
Training Epoch: 20 [17664/46200]	Loss: 0.5753	LR: 0.020000
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Training Epoch: 20 [18176/46200]	Loss: 0.4353	LR: 0.020000
Training Epoch: 20 [18432/46200]	Loss: 0.4990	LR: 0.020000
Training Epoch: 20 [18688/46200]	Loss: 0.4858	LR: 0.020000
Training Epoch: 20 [18944/46200]	Loss: 0.4655	LR: 0.020000
Training Epoch: 20 [19200/46200]	Loss: 0.4340	LR: 0.020000
Training Epoch: 20 [19456/46200]	Loss: 0.4225	LR: 0.020000
Training Epoch: 20 [19712/46200]	Loss: 0.5382	LR: 0.020000
Training Epoch: 20 [19968/46200]	Loss: 0.4502	LR: 0.020000
Training Epoch: 20 [20224/46200]	Loss: 0.3562	LR: 0.020000
Training Epoch: 20 [20480/46200]	Loss: 0.5001	LR: 0.020000
Training Epoch: 20 [20736/46200]	Loss: 0.4700	LR: 0.020000
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Training Epoch: 20 [21760/46200]	Loss: 0.3887	LR: 0.020000
Training Epoch: 20 [22016/46200]	Loss: 0.4671	LR: 0.020000
Training Epoch: 20 [22272/46200]	Loss: 0.4860	LR: 0.020000
Training Epoch: 20 [22528/46200]	Loss: 0.4037	LR: 0.020000
Training Epoch: 20 [22784/46200]	Loss: 0.4403	LR: 0.020000
Training Epoch: 20 [23040/46200]	Loss: 0.5250	LR: 0.020000
Training Epoch: 20 [23296/46200]	Loss: 0.4575	LR: 0.020000
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Training Epoch: 20 [26368/46200]	Loss: 0.5070	LR: 0.020000
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Training Epoch: 20 [27136/46200]	Loss: 0.3484	LR: 0.020000
Training Epoch: 20 [27392/46200]	Loss: 0.5040	LR: 0.020000
Training Epoch: 20 [27648/46200]	Loss: 0.4396	LR: 0.020000
Training Epoch: 20 [27904/46200]	Loss: 0.6244	LR: 0.020000
Training Epoch: 20 [28160/46200]	Loss: 0.4880	LR: 0.020000
Training Epoch: 20 [28416/46200]	Loss: 0.4568	LR: 0.020000
Training Epoch: 20 [28672/46200]	Loss: 0.4436	LR: 0.020000
Training Epoch: 20 [28928/46200]	Loss: 0.4306	LR: 0.020000
Training Epoch: 20 [29184/46200]	Loss: 0.4768	LR: 0.020000
Training Epoch: 20 [29440/46200]	Loss: 0.4464	LR: 0.020000
Training Epoch: 20 [29696/46200]	Loss: 0.4888	LR: 0.020000
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Training Epoch: 20 [30976/46200]	Loss: 0.5240	LR: 0.020000
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Training Epoch: 20 [37376/46200]	Loss: 0.5003	LR: 0.020000
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Training Epoch: 20 [37888/46200]	Loss: 0.3991	LR: 0.020000
Training Epoch: 20 [38144/46200]	Loss: 0.4462	LR: 0.020000
Training Epoch: 20 [38400/46200]	Loss: 0.4605	LR: 0.020000
Training Epoch: 20 [38656/46200]	Loss: 0.5105	LR: 0.020000
Training Epoch: 20 [38912/46200]	Loss: 0.4516	LR: 0.020000
Training Epoch: 20 [39168/46200]	Loss: 0.4527	LR: 0.020000
Training Epoch: 20 [39424/46200]	Loss: 0.5062	LR: 0.020000
Training Epoch: 20 [39680/46200]	Loss: 0.5245	LR: 0.020000
Training Epoch: 20 [39936/46200]	Loss: 0.4545	LR: 0.020000
Training Epoch: 20 [40192/46200]	Loss: 0.6203	LR: 0.020000
Training Epoch: 20 [40448/46200]	Loss: 0.4503	LR: 0.020000
Training Epoch: 20 [40704/46200]	Loss: 0.3944	LR: 0.020000
Training Epoch: 20 [40960/46200]	Loss: 0.5505	LR: 0.020000
Training Epoch: 20 [41216/46200]	Loss: 0.4644	LR: 0.020000
Training Epoch: 20 [41472/46200]	Loss: 0.5790	LR: 0.020000
Training Epoch: 20 [41728/46200]	Loss: 0.4510	LR: 0.020000
Training Epoch: 20 [41984/46200]	Loss: 0.5006	LR: 0.020000
Training Epoch: 20 [42240/46200]	Loss: 0.4992	LR: 0.020000
Training Epoch: 20 [42496/46200]	Loss: 0.4236	LR: 0.020000
Training Epoch: 20 [42752/46200]	Loss: 0.5258	LR: 0.020000
Training Epoch: 20 [43008/46200]	Loss: 0.4444	LR: 0.020000
Training Epoch: 20 [43264/46200]	Loss: 0.5056	LR: 0.020000
Training Epoch: 20 [43520/46200]	Loss: 0.5026	LR: 0.020000
Training Epoch: 20 [43776/46200]	Loss: 0.4710	LR: 0.020000
Training Epoch: 20 [44032/46200]	Loss: 0.4729	LR: 0.020000
Training Epoch: 20 [44288/46200]	Loss: 0.5669	LR: 0.020000
Training Epoch: 20 [44544/46200]	Loss: 0.5400	LR: 0.020000
Training Epoch: 20 [44800/46200]	Loss: 0.4972	LR: 0.020000
Training Epoch: 20 [45056/46200]	Loss: 0.5116	LR: 0.020000
Training Epoch: 20 [45312/46200]	Loss: 0.5343	LR: 0.020000
Training Epoch: 20 [45568/46200]	Loss: 0.4655	LR: 0.020000
Training Epoch: 20 [45824/46200]	Loss: 0.4445	LR: 0.020000
Training Epoch: 20 [46080/46200]	Loss: 0.5082	LR: 0.020000
Training Epoch: 20 [46200/46200]	Loss: 0.4431	LR: 0.020000
Epoch 20 - Average Train Loss: 0.4689, Train Accuracy: 0.8453
Epoch 20 training time consumed: 27.95s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0029, Accuracy: 0.7727, Time consumed:0.99s
Training Epoch: 21 [256/46200]	Loss: 0.4712	LR: 0.020000
Training Epoch: 21 [512/46200]	Loss: 0.4588	LR: 0.020000
Training Epoch: 21 [768/46200]	Loss: 0.4313	LR: 0.020000
Training Epoch: 21 [1024/46200]	Loss: 0.3805	LR: 0.020000
Training Epoch: 21 [1280/46200]	Loss: 0.4013	LR: 0.020000
Training Epoch: 21 [1536/46200]	Loss: 0.3967	LR: 0.020000
Training Epoch: 21 [1792/46200]	Loss: 0.3821	LR: 0.020000
Training Epoch: 21 [2048/46200]	Loss: 0.4186	LR: 0.020000
Training Epoch: 21 [2304/46200]	Loss: 0.4333	LR: 0.020000
Training Epoch: 21 [2560/46200]	Loss: 0.4559	LR: 0.020000
Training Epoch: 21 [2816/46200]	Loss: 0.4541	LR: 0.020000
Training Epoch: 21 [3072/46200]	Loss: 0.3746	LR: 0.020000
Training Epoch: 21 [3328/46200]	Loss: 0.4507	LR: 0.020000
Training Epoch: 21 [3584/46200]	Loss: 0.3663	LR: 0.020000
Training Epoch: 21 [3840/46200]	Loss: 0.4329	LR: 0.020000
Training Epoch: 21 [4096/46200]	Loss: 0.4509	LR: 0.020000
Training Epoch: 21 [4352/46200]	Loss: 0.4855	LR: 0.020000
Training Epoch: 21 [4608/46200]	Loss: 0.4616	LR: 0.020000
Training Epoch: 21 [4864/46200]	Loss: 0.3940	LR: 0.020000
Training Epoch: 21 [5120/46200]	Loss: 0.5131	LR: 0.020000
Training Epoch: 21 [5376/46200]	Loss: 0.4659	LR: 0.020000
Training Epoch: 21 [5632/46200]	Loss: 0.4278	LR: 0.020000
Training Epoch: 21 [5888/46200]	Loss: 0.4156	LR: 0.020000
Training Epoch: 21 [6144/46200]	Loss: 0.4968	LR: 0.020000
Training Epoch: 21 [6400/46200]	Loss: 0.4189	LR: 0.020000
Training Epoch: 21 [6656/46200]	Loss: 0.4160	LR: 0.020000
Training Epoch: 21 [6912/46200]	Loss: 0.3948	LR: 0.020000
Training Epoch: 21 [7168/46200]	Loss: 0.4377	LR: 0.020000
Training Epoch: 21 [7424/46200]	Loss: 0.5231	LR: 0.020000
Training Epoch: 21 [7680/46200]	Loss: 0.4068	LR: 0.020000
Training Epoch: 21 [7936/46200]	Loss: 0.3671	LR: 0.020000
Training Epoch: 21 [8192/46200]	Loss: 0.4383	LR: 0.020000
Training Epoch: 21 [8448/46200]	Loss: 0.4746	LR: 0.020000
Training Epoch: 21 [8704/46200]	Loss: 0.4176	LR: 0.020000
Training Epoch: 21 [8960/46200]	Loss: 0.5007	LR: 0.020000
Training Epoch: 21 [9216/46200]	Loss: 0.4964	LR: 0.020000
Training Epoch: 21 [9472/46200]	Loss: 0.5430	LR: 0.020000
Training Epoch: 21 [9728/46200]	Loss: 0.4720	LR: 0.020000
Training Epoch: 21 [9984/46200]	Loss: 0.4149	LR: 0.020000
Training Epoch: 21 [10240/46200]	Loss: 0.5324	LR: 0.020000
Training Epoch: 21 [10496/46200]	Loss: 0.4533	LR: 0.020000
Training Epoch: 21 [10752/46200]	Loss: 0.4419	LR: 0.020000
Training Epoch: 21 [11008/46200]	Loss: 0.4146	LR: 0.020000
Training Epoch: 21 [11264/46200]	Loss: 0.4976	LR: 0.020000
Training Epoch: 21 [11520/46200]	Loss: 0.4531	LR: 0.020000
Training Epoch: 21 [11776/46200]	Loss: 0.5094	LR: 0.020000
Training Epoch: 21 [12032/46200]	Loss: 0.4285	LR: 0.020000
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Training Epoch: 21 [12800/46200]	Loss: 0.3873	LR: 0.020000
Training Epoch: 21 [13056/46200]	Loss: 0.4187	LR: 0.020000
Training Epoch: 21 [13312/46200]	Loss: 0.5048	LR: 0.020000
Training Epoch: 21 [13568/46200]	Loss: 0.4895	LR: 0.020000
Training Epoch: 21 [13824/46200]	Loss: 0.4930	LR: 0.020000
Training Epoch: 21 [14080/46200]	Loss: 0.4328	LR: 0.020000
Training Epoch: 21 [14336/46200]	Loss: 0.5277	LR: 0.020000
Training Epoch: 21 [14592/46200]	Loss: 0.4396	LR: 0.020000
Training Epoch: 21 [14848/46200]	Loss: 0.4666	LR: 0.020000
Training Epoch: 21 [15104/46200]	Loss: 0.4539	LR: 0.020000
Training Epoch: 21 [15360/46200]	Loss: 0.4232	LR: 0.020000
Training Epoch: 21 [15616/46200]	Loss: 0.4375	LR: 0.020000
Training Epoch: 21 [15872/46200]	Loss: 0.4204	LR: 0.020000
Training Epoch: 21 [16128/46200]	Loss: 0.4242	LR: 0.020000
Training Epoch: 21 [16384/46200]	Loss: 0.4157	LR: 0.020000
Training Epoch: 21 [16640/46200]	Loss: 0.4490	LR: 0.020000
Training Epoch: 21 [16896/46200]	Loss: 0.4280	LR: 0.020000
Training Epoch: 21 [17152/46200]	Loss: 0.4911	LR: 0.020000
Training Epoch: 21 [17408/46200]	Loss: 0.4683	LR: 0.020000
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Training Epoch: 21 [18176/46200]	Loss: 0.4383	LR: 0.020000
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Training Epoch: 21 [18688/46200]	Loss: 0.4599	LR: 0.020000
Training Epoch: 21 [18944/46200]	Loss: 0.4205	LR: 0.020000
Training Epoch: 21 [19200/46200]	Loss: 0.4265	LR: 0.020000
Training Epoch: 21 [19456/46200]	Loss: 0.5469	LR: 0.020000
Training Epoch: 21 [19712/46200]	Loss: 0.4545	LR: 0.020000
Training Epoch: 21 [19968/46200]	Loss: 0.5032	LR: 0.020000
Training Epoch: 21 [20224/46200]	Loss: 0.4948	LR: 0.020000
Training Epoch: 21 [20480/46200]	Loss: 0.5348	LR: 0.020000
Training Epoch: 21 [20736/46200]	Loss: 0.4584	LR: 0.020000
Training Epoch: 21 [20992/46200]	Loss: 0.3890	LR: 0.020000
Training Epoch: 21 [21248/46200]	Loss: 0.4466	LR: 0.020000
Training Epoch: 21 [21504/46200]	Loss: 0.5108	LR: 0.020000
Training Epoch: 21 [21760/46200]	Loss: 0.4581	LR: 0.020000
Training Epoch: 21 [22016/46200]	Loss: 0.4948	LR: 0.020000
Training Epoch: 21 [22272/46200]	Loss: 0.3862	LR: 0.020000
Training Epoch: 21 [22528/46200]	Loss: 0.4222	LR: 0.020000
Training Epoch: 21 [22784/46200]	Loss: 0.4138	LR: 0.020000
Training Epoch: 21 [23040/46200]	Loss: 0.4782	LR: 0.020000
Training Epoch: 21 [23296/46200]	Loss: 0.4091	LR: 0.020000
Training Epoch: 21 [23552/46200]	Loss: 0.4328	LR: 0.020000
Training Epoch: 21 [23808/46200]	Loss: 0.5057	LR: 0.020000
Training Epoch: 21 [24064/46200]	Loss: 0.5084	LR: 0.020000
Training Epoch: 21 [24320/46200]	Loss: 0.5617	LR: 0.020000
Training Epoch: 21 [24576/46200]	Loss: 0.4748	LR: 0.020000
Training Epoch: 21 [24832/46200]	Loss: 0.3722	LR: 0.020000
Training Epoch: 21 [25088/46200]	Loss: 0.3974	LR: 0.020000
Training Epoch: 21 [25344/46200]	Loss: 0.4215	LR: 0.020000
Training Epoch: 21 [25600/46200]	Loss: 0.5148	LR: 0.020000
Training Epoch: 21 [25856/46200]	Loss: 0.3671	LR: 0.020000
Training Epoch: 21 [26112/46200]	Loss: 0.3663	LR: 0.020000
Training Epoch: 21 [26368/46200]	Loss: 0.4956	LR: 0.020000
Training Epoch: 21 [26624/46200]	Loss: 0.3981	LR: 0.020000
Training Epoch: 21 [26880/46200]	Loss: 0.4549	LR: 0.020000
Training Epoch: 21 [27136/46200]	Loss: 0.4167	LR: 0.020000
Training Epoch: 21 [27392/46200]	Loss: 0.3657	LR: 0.020000
Training Epoch: 21 [27648/46200]	Loss: 0.4237	LR: 0.020000
Training Epoch: 21 [27904/46200]	Loss: 0.5177	LR: 0.020000
Training Epoch: 21 [28160/46200]	Loss: 0.3999	LR: 0.020000
Training Epoch: 21 [28416/46200]	Loss: 0.4243	LR: 0.020000
Training Epoch: 21 [28672/46200]	Loss: 0.4534	LR: 0.020000
Training Epoch: 21 [28928/46200]	Loss: 0.5200	LR: 0.020000
Training Epoch: 21 [29184/46200]	Loss: 0.5800	LR: 0.020000
Training Epoch: 21 [29440/46200]	Loss: 0.4841	LR: 0.020000
Training Epoch: 21 [29696/46200]	Loss: 0.5524	LR: 0.020000
Training Epoch: 21 [29952/46200]	Loss: 0.4379	LR: 0.020000
Training Epoch: 21 [30208/46200]	Loss: 0.4779	LR: 0.020000
Training Epoch: 21 [30464/46200]	Loss: 0.5096	LR: 0.020000
Training Epoch: 21 [30720/46200]	Loss: 0.4477	LR: 0.020000
Training Epoch: 21 [30976/46200]	Loss: 0.4783	LR: 0.020000
Training Epoch: 21 [31232/46200]	Loss: 0.4581	LR: 0.020000
Training Epoch: 21 [31488/46200]	Loss: 0.4906	LR: 0.020000
Training Epoch: 21 [31744/46200]	Loss: 0.3767	LR: 0.020000
Training Epoch: 21 [32000/46200]	Loss: 0.5361	LR: 0.020000
Training Epoch: 21 [32256/46200]	Loss: 0.5099	LR: 0.020000
Training Epoch: 21 [32512/46200]	Loss: 0.4864	LR: 0.020000
Training Epoch: 21 [32768/46200]	Loss: 0.4013	LR: 0.020000
Training Epoch: 21 [33024/46200]	Loss: 0.4280	LR: 0.020000
Training Epoch: 21 [33280/46200]	Loss: 0.5316	LR: 0.020000
Training Epoch: 21 [33536/46200]	Loss: 0.4124	LR: 0.020000
Training Epoch: 21 [33792/46200]	Loss: 0.4459	LR: 0.020000
Training Epoch: 21 [34048/46200]	Loss: 0.4456	LR: 0.020000
Training Epoch: 21 [34304/46200]	Loss: 0.4422	LR: 0.020000
Training Epoch: 21 [34560/46200]	Loss: 0.5177	LR: 0.020000
Training Epoch: 21 [34816/46200]	Loss: 0.4462	LR: 0.020000
Training Epoch: 21 [35072/46200]	Loss: 0.4319	LR: 0.020000
Training Epoch: 21 [35328/46200]	Loss: 0.3764	LR: 0.020000
Training Epoch: 21 [35584/46200]	Loss: 0.3485	LR: 0.020000
Training Epoch: 21 [35840/46200]	Loss: 0.4318	LR: 0.020000
Training Epoch: 21 [36096/46200]	Loss: 0.5298	LR: 0.020000
Training Epoch: 21 [36352/46200]	Loss: 0.4499	LR: 0.020000
Training Epoch: 21 [36608/46200]	Loss: 0.4690	LR: 0.020000
Training Epoch: 21 [36864/46200]	Loss: 0.4075	LR: 0.020000
Training Epoch: 21 [37120/46200]	Loss: 0.5076	LR: 0.020000
Training Epoch: 21 [37376/46200]	Loss: 0.4980	LR: 0.020000
Training Epoch: 21 [37632/46200]	Loss: 0.4522	LR: 0.020000
Training Epoch: 21 [37888/46200]	Loss: 0.4137	LR: 0.020000
Training Epoch: 21 [38144/46200]	Loss: 0.4341	LR: 0.020000
Training Epoch: 21 [38400/46200]	Loss: 0.4097	LR: 0.020000
Training Epoch: 21 [38656/46200]	Loss: 0.3731	LR: 0.020000
Training Epoch: 21 [38912/46200]	Loss: 0.5226	LR: 0.020000
Training Epoch: 21 [39168/46200]	Loss: 0.5257	LR: 0.020000
Training Epoch: 21 [39424/46200]	Loss: 0.4848	LR: 0.020000
Training Epoch: 21 [39680/46200]	Loss: 0.4836	LR: 0.020000
Training Epoch: 21 [39936/46200]	Loss: 0.4697	LR: 0.020000
Training Epoch: 21 [40192/46200]	Loss: 0.5196	LR: 0.020000
Training Epoch: 21 [40448/46200]	Loss: 0.5634	LR: 0.020000
Training Epoch: 21 [40704/46200]	Loss: 0.4993	LR: 0.020000
Training Epoch: 21 [40960/46200]	Loss: 0.4831	LR: 0.020000
Training Epoch: 21 [41216/46200]	Loss: 0.4375	LR: 0.020000
Training Epoch: 21 [41472/46200]	Loss: 0.5079	LR: 0.020000
Training Epoch: 21 [41728/46200]	Loss: 0.4671	LR: 0.020000
Training Epoch: 21 [41984/46200]	Loss: 0.4362	LR: 0.020000
Training Epoch: 21 [42240/46200]	Loss: 0.4470	LR: 0.020000
Training Epoch: 21 [42496/46200]	Loss: 0.4274	LR: 0.020000
Training Epoch: 21 [42752/46200]	Loss: 0.5407	LR: 0.020000
Training Epoch: 21 [43008/46200]	Loss: 0.4345	LR: 0.020000
Training Epoch: 21 [43264/46200]	Loss: 0.4758	LR: 0.020000
Training Epoch: 21 [43520/46200]	Loss: 0.4437	LR: 0.020000
Training Epoch: 21 [43776/46200]	Loss: 0.5495	LR: 0.020000
Training Epoch: 21 [44032/46200]	Loss: 0.4560	LR: 0.020000
Training Epoch: 21 [44288/46200]	Loss: 0.4474	LR: 0.020000
Training Epoch: 21 [44544/46200]	Loss: 0.3946	LR: 0.020000
Training Epoch: 21 [44800/46200]	Loss: 0.5305	LR: 0.020000
Training Epoch: 21 [45056/46200]	Loss: 0.4561	LR: 0.020000
Training Epoch: 21 [45312/46200]	Loss: 0.4081	LR: 0.020000
Training Epoch: 21 [45568/46200]	Loss: 0.4889	LR: 0.020000
Training Epoch: 21 [45824/46200]	Loss: 0.5623	LR: 0.020000
Training Epoch: 21 [46080/46200]	Loss: 0.5142	LR: 0.020000
Training Epoch: 21 [46200/46200]	Loss: 0.4494	LR: 0.020000
Epoch 21 - Average Train Loss: 0.4564, Train Accuracy: 0.8480
Epoch 21 training time consumed: 27.87s
Evaluating Network.....
Test set: Epoch: 21, Average loss: 0.0031, Accuracy: 0.7646, Time consumed:0.91s
Training Epoch: 22 [256/46200]	Loss: 0.4294	LR: 0.020000
Training Epoch: 22 [512/46200]	Loss: 0.4338	LR: 0.020000
Training Epoch: 22 [768/46200]	Loss: 0.4137	LR: 0.020000
Training Epoch: 22 [1024/46200]	Loss: 0.4533	LR: 0.020000
Training Epoch: 22 [1280/46200]	Loss: 0.4090	LR: 0.020000
Training Epoch: 22 [1536/46200]	Loss: 0.3850	LR: 0.020000
Training Epoch: 22 [1792/46200]	Loss: 0.3662	LR: 0.020000
Training Epoch: 22 [2048/46200]	Loss: 0.3585	LR: 0.020000
Training Epoch: 22 [2304/46200]	Loss: 0.4406	LR: 0.020000
Training Epoch: 22 [2560/46200]	Loss: 0.5511	LR: 0.020000
Training Epoch: 22 [2816/46200]	Loss: 0.5117	LR: 0.020000
Training Epoch: 22 [3072/46200]	Loss: 0.3937	LR: 0.020000
Training Epoch: 22 [3328/46200]	Loss: 0.4088	LR: 0.020000
Training Epoch: 22 [3584/46200]	Loss: 0.4623	LR: 0.020000
Training Epoch: 22 [3840/46200]	Loss: 0.4135	LR: 0.020000
Training Epoch: 22 [4096/46200]	Loss: 0.3468	LR: 0.020000
Training Epoch: 22 [4352/46200]	Loss: 0.4373	LR: 0.020000
Training Epoch: 22 [4608/46200]	Loss: 0.3764	LR: 0.020000
Training Epoch: 22 [4864/46200]	Loss: 0.3848	LR: 0.020000
Training Epoch: 22 [5120/46200]	Loss: 0.5032	LR: 0.020000
Training Epoch: 22 [5376/46200]	Loss: 0.4492	LR: 0.020000
Training Epoch: 22 [5632/46200]	Loss: 0.3717	LR: 0.020000
Training Epoch: 22 [5888/46200]	Loss: 0.4742	LR: 0.020000
Training Epoch: 22 [6144/46200]	Loss: 0.3233	LR: 0.020000
Training Epoch: 22 [6400/46200]	Loss: 0.3949	LR: 0.020000
Training Epoch: 22 [6656/46200]	Loss: 0.4836	LR: 0.020000
Training Epoch: 22 [6912/46200]	Loss: 0.4874	LR: 0.020000
Training Epoch: 22 [7168/46200]	Loss: 0.4011	LR: 0.020000
Training Epoch: 22 [7424/46200]	Loss: 0.3626	LR: 0.020000
Training Epoch: 22 [7680/46200]	Loss: 0.4238	LR: 0.020000
Training Epoch: 22 [7936/46200]	Loss: 0.4460	LR: 0.020000
Training Epoch: 22 [8192/46200]	Loss: 0.3595	LR: 0.020000
Training Epoch: 22 [8448/46200]	Loss: 0.4308	LR: 0.020000
Training Epoch: 22 [8704/46200]	Loss: 0.4176	LR: 0.020000
Training Epoch: 22 [8960/46200]	Loss: 0.4299	LR: 0.020000
Training Epoch: 22 [9216/46200]	Loss: 0.4006	LR: 0.020000
Training Epoch: 22 [9472/46200]	Loss: 0.3816	LR: 0.020000
Training Epoch: 22 [9728/46200]	Loss: 0.4082	LR: 0.020000
Training Epoch: 22 [9984/46200]	Loss: 0.3639	LR: 0.020000
Training Epoch: 22 [10240/46200]	Loss: 0.4559	LR: 0.020000
Training Epoch: 22 [10496/46200]	Loss: 0.3771	LR: 0.020000
Training Epoch: 22 [10752/46200]	Loss: 0.4103	LR: 0.020000
Training Epoch: 22 [11008/46200]	Loss: 0.4320	LR: 0.020000
Training Epoch: 22 [11264/46200]	Loss: 0.4417	LR: 0.020000
Training Epoch: 22 [11520/46200]	Loss: 0.4060	LR: 0.020000
Training Epoch: 22 [11776/46200]	Loss: 0.4506	LR: 0.020000
Training Epoch: 22 [12032/46200]	Loss: 0.4587	LR: 0.020000
Training Epoch: 22 [12288/46200]	Loss: 0.4013	LR: 0.020000
Training Epoch: 22 [12544/46200]	Loss: 0.3675	LR: 0.020000
Training Epoch: 22 [12800/46200]	Loss: 0.3826	LR: 0.020000
Training Epoch: 22 [13056/46200]	Loss: 0.3391	LR: 0.020000
Training Epoch: 22 [13312/46200]	Loss: 0.4581	LR: 0.020000
Training Epoch: 22 [13568/46200]	Loss: 0.5057	LR: 0.020000
Training Epoch: 22 [13824/46200]	Loss: 0.4126	LR: 0.020000
Training Epoch: 22 [14080/46200]	Loss: 0.4336	LR: 0.020000
Training Epoch: 22 [14336/46200]	Loss: 0.5355	LR: 0.020000
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Training Epoch: 22 [14848/46200]	Loss: 0.3185	LR: 0.020000
Training Epoch: 22 [15104/46200]	Loss: 0.4711	LR: 0.020000
Training Epoch: 22 [15360/46200]	Loss: 0.4634	LR: 0.020000
Training Epoch: 22 [15616/46200]	Loss: 0.4418	LR: 0.020000
Training Epoch: 22 [15872/46200]	Loss: 0.4219	LR: 0.020000
Training Epoch: 22 [16128/46200]	Loss: 0.3857	LR: 0.020000
Training Epoch: 22 [16384/46200]	Loss: 0.4077	LR: 0.020000
Training Epoch: 22 [16640/46200]	Loss: 0.4598	LR: 0.020000
Training Epoch: 22 [16896/46200]	Loss: 0.3945	LR: 0.020000
Training Epoch: 22 [17152/46200]	Loss: 0.4050	LR: 0.020000
Training Epoch: 22 [17408/46200]	Loss: 0.3443	LR: 0.020000
Training Epoch: 22 [17664/46200]	Loss: 0.3778	LR: 0.020000
Training Epoch: 22 [17920/46200]	Loss: 0.3514	LR: 0.020000
Training Epoch: 22 [18176/46200]	Loss: 0.4799	LR: 0.020000
Training Epoch: 22 [18432/46200]	Loss: 0.4097	LR: 0.020000
Training Epoch: 22 [18688/46200]	Loss: 0.4282	LR: 0.020000
Training Epoch: 22 [18944/46200]	Loss: 0.5879	LR: 0.020000
Training Epoch: 22 [19200/46200]	Loss: 0.4231	LR: 0.020000
Training Epoch: 22 [19456/46200]	Loss: 0.4689	LR: 0.020000
Training Epoch: 22 [19712/46200]	Loss: 0.5099	LR: 0.020000
Training Epoch: 22 [19968/46200]	Loss: 0.4849	LR: 0.020000
Training Epoch: 22 [20224/46200]	Loss: 0.4201	LR: 0.020000
Training Epoch: 22 [20480/46200]	Loss: 0.4368	LR: 0.020000
Training Epoch: 22 [20736/46200]	Loss: 0.3358	LR: 0.020000
Training Epoch: 22 [20992/46200]	Loss: 0.4314	LR: 0.020000
Training Epoch: 22 [21248/46200]	Loss: 0.4377	LR: 0.020000
Training Epoch: 22 [21504/46200]	Loss: 0.4569	LR: 0.020000
Training Epoch: 22 [21760/46200]	Loss: 0.3767	LR: 0.020000
Training Epoch: 22 [22016/46200]	Loss: 0.4825	LR: 0.020000
Training Epoch: 22 [22272/46200]	Loss: 0.3574	LR: 0.020000
Training Epoch: 22 [22528/46200]	Loss: 0.4454	LR: 0.020000
Training Epoch: 22 [22784/46200]	Loss: 0.3355	LR: 0.020000
Training Epoch: 22 [23040/46200]	Loss: 0.4269	LR: 0.020000
Training Epoch: 22 [23296/46200]	Loss: 0.5252	LR: 0.020000
Training Epoch: 22 [23552/46200]	Loss: 0.5751	LR: 0.020000
Training Epoch: 22 [23808/46200]	Loss: 0.4282	LR: 0.020000
Training Epoch: 22 [24064/46200]	Loss: 0.4315	LR: 0.020000
Training Epoch: 22 [24320/46200]	Loss: 0.4049	LR: 0.020000
Training Epoch: 22 [24576/46200]	Loss: 0.4680	LR: 0.020000
Training Epoch: 22 [24832/46200]	Loss: 0.4844	LR: 0.020000
Training Epoch: 22 [25088/46200]	Loss: 0.5236	LR: 0.020000
Training Epoch: 22 [25344/46200]	Loss: 0.3869	LR: 0.020000
Training Epoch: 22 [25600/46200]	Loss: 0.4887	LR: 0.020000
Training Epoch: 22 [25856/46200]	Loss: 0.4121	LR: 0.020000
Training Epoch: 22 [26112/46200]	Loss: 0.4775	LR: 0.020000
Training Epoch: 22 [26368/46200]	Loss: 0.4199	LR: 0.020000
Training Epoch: 22 [26624/46200]	Loss: 0.4054	LR: 0.020000
Training Epoch: 22 [26880/46200]	Loss: 0.5267	LR: 0.020000
Training Epoch: 22 [27136/46200]	Loss: 0.4715	LR: 0.020000
Training Epoch: 22 [27392/46200]	Loss: 0.4268	LR: 0.020000
Training Epoch: 22 [27648/46200]	Loss: 0.5114	LR: 0.020000
Training Epoch: 22 [27904/46200]	Loss: 0.4612	LR: 0.020000
Training Epoch: 22 [28160/46200]	Loss: 0.4212	LR: 0.020000
Training Epoch: 22 [28416/46200]	Loss: 0.5482	LR: 0.020000
Training Epoch: 22 [28672/46200]	Loss: 0.3610	LR: 0.020000
Training Epoch: 22 [28928/46200]	Loss: 0.4491	LR: 0.020000
Training Epoch: 22 [29184/46200]	Loss: 0.4506	LR: 0.020000
Training Epoch: 22 [29440/46200]	Loss: 0.4965	LR: 0.020000
Training Epoch: 22 [29696/46200]	Loss: 0.4053	LR: 0.020000
Training Epoch: 22 [29952/46200]	Loss: 0.4415	LR: 0.020000
Training Epoch: 22 [30208/46200]	Loss: 0.4161	LR: 0.020000
Training Epoch: 22 [30464/46200]	Loss: 0.3448	LR: 0.020000
Training Epoch: 22 [30720/46200]	Loss: 0.4558	LR: 0.020000
Training Epoch: 22 [30976/46200]	Loss: 0.3736	LR: 0.020000
Training Epoch: 22 [31232/46200]	Loss: 0.3909	LR: 0.020000
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Training Epoch: 22 [32000/46200]	Loss: 0.4141	LR: 0.020000
Training Epoch: 22 [32256/46200]	Loss: 0.4589	LR: 0.020000
Training Epoch: 22 [32512/46200]	Loss: 0.4292	LR: 0.020000
Training Epoch: 22 [32768/46200]	Loss: 0.4516	LR: 0.020000
Training Epoch: 22 [33024/46200]	Loss: 0.3891	LR: 0.020000
Training Epoch: 22 [33280/46200]	Loss: 0.4784	LR: 0.020000
Training Epoch: 22 [33536/46200]	Loss: 0.3810	LR: 0.020000
Training Epoch: 22 [33792/46200]	Loss: 0.4787	LR: 0.020000
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Training Epoch: 22 [35328/46200]	Loss: 0.3857	LR: 0.020000
Training Epoch: 22 [35584/46200]	Loss: 0.4642	LR: 0.020000
Training Epoch: 22 [35840/46200]	Loss: 0.4751	LR: 0.020000
Training Epoch: 22 [36096/46200]	Loss: 0.4934	LR: 0.020000
Training Epoch: 22 [36352/46200]	Loss: 0.3955	LR: 0.020000
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Training Epoch: 22 [37120/46200]	Loss: 0.3750	LR: 0.020000
Training Epoch: 22 [37376/46200]	Loss: 0.4912	LR: 0.020000
Training Epoch: 22 [37632/46200]	Loss: 0.4571	LR: 0.020000
Training Epoch: 22 [37888/46200]	Loss: 0.4677	LR: 0.020000
Training Epoch: 22 [38144/46200]	Loss: 0.3669	LR: 0.020000
Training Epoch: 22 [38400/46200]	Loss: 0.5250	LR: 0.020000
Training Epoch: 22 [38656/46200]	Loss: 0.4018	LR: 0.020000
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Training Epoch: 22 [39424/46200]	Loss: 0.3957	LR: 0.020000
Training Epoch: 22 [39680/46200]	Loss: 0.4330	LR: 0.020000
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Training Epoch: 22 [40192/46200]	Loss: 0.4577	LR: 0.020000
Training Epoch: 22 [40448/46200]	Loss: 0.5368	LR: 0.020000
Training Epoch: 22 [40704/46200]	Loss: 0.4542	LR: 0.020000
Training Epoch: 22 [40960/46200]	Loss: 0.4319	LR: 0.020000
Training Epoch: 22 [41216/46200]	Loss: 0.5518	LR: 0.020000
Training Epoch: 22 [41472/46200]	Loss: 0.4836	LR: 0.020000
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Training Epoch: 22 [42496/46200]	Loss: 0.4548	LR: 0.020000
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Training Epoch: 22 [44288/46200]	Loss: 0.5424	LR: 0.020000
Training Epoch: 22 [44544/46200]	Loss: 0.5344	LR: 0.020000
Training Epoch: 22 [44800/46200]	Loss: 0.4926	LR: 0.020000
Training Epoch: 22 [45056/46200]	Loss: 0.3720	LR: 0.020000
Training Epoch: 22 [45312/46200]	Loss: 0.5064	LR: 0.020000
Training Epoch: 22 [45568/46200]	Loss: 0.4599	LR: 0.020000
Training Epoch: 22 [45824/46200]	Loss: 0.4261	LR: 0.020000
Training Epoch: 22 [46080/46200]	Loss: 0.5016	LR: 0.020000
Training Epoch: 22 [46200/46200]	Loss: 0.5323	LR: 0.020000
Epoch 22 - Average Train Loss: 0.4370, Train Accuracy: 0.8557
Epoch 22 training time consumed: 27.81s
Evaluating Network.....
Test set: Epoch: 22, Average loss: 0.0031, Accuracy: 0.7683, Time consumed:0.94s
Training Epoch: 23 [256/46200]	Loss: 0.3984	LR: 0.020000
Training Epoch: 23 [512/46200]	Loss: 0.3937	LR: 0.020000
Training Epoch: 23 [768/46200]	Loss: 0.4421	LR: 0.020000
Training Epoch: 23 [1024/46200]	Loss: 0.4335	LR: 0.020000
Training Epoch: 23 [1280/46200]	Loss: 0.5122	LR: 0.020000
Training Epoch: 23 [1536/46200]	Loss: 0.3542	LR: 0.020000
Training Epoch: 23 [1792/46200]	Loss: 0.3219	LR: 0.020000
Training Epoch: 23 [2048/46200]	Loss: 0.3289	LR: 0.020000
Training Epoch: 23 [2304/46200]	Loss: 0.4062	LR: 0.020000
Training Epoch: 23 [2560/46200]	Loss: 0.3237	LR: 0.020000
Training Epoch: 23 [2816/46200]	Loss: 0.4802	LR: 0.020000
Training Epoch: 23 [3072/46200]	Loss: 0.3688	LR: 0.020000
Training Epoch: 23 [3328/46200]	Loss: 0.3779	LR: 0.020000
Training Epoch: 23 [3584/46200]	Loss: 0.3696	LR: 0.020000
Training Epoch: 23 [3840/46200]	Loss: 0.4252	LR: 0.020000
Training Epoch: 23 [4096/46200]	Loss: 0.3416	LR: 0.020000
Training Epoch: 23 [4352/46200]	Loss: 0.4220	LR: 0.020000
Training Epoch: 23 [4608/46200]	Loss: 0.4075	LR: 0.020000
Training Epoch: 23 [4864/46200]	Loss: 0.3872	LR: 0.020000
Training Epoch: 23 [5120/46200]	Loss: 0.4640	LR: 0.020000
Training Epoch: 23 [5376/46200]	Loss: 0.4195	LR: 0.020000
Training Epoch: 23 [5632/46200]	Loss: 0.4386	LR: 0.020000
Training Epoch: 23 [5888/46200]	Loss: 0.3659	LR: 0.020000
Training Epoch: 23 [6144/46200]	Loss: 0.4560	LR: 0.020000
Training Epoch: 23 [6400/46200]	Loss: 0.3793	LR: 0.020000
Training Epoch: 23 [6656/46200]	Loss: 0.3825	LR: 0.020000
Training Epoch: 23 [6912/46200]	Loss: 0.3870	LR: 0.020000
Training Epoch: 23 [7168/46200]	Loss: 0.4038	LR: 0.020000
Training Epoch: 23 [7424/46200]	Loss: 0.3640	LR: 0.020000
Training Epoch: 23 [7680/46200]	Loss: 0.3939	LR: 0.020000
Training Epoch: 23 [7936/46200]	Loss: 0.3558	LR: 0.020000
Training Epoch: 23 [8192/46200]	Loss: 0.4097	LR: 0.020000
Training Epoch: 23 [8448/46200]	Loss: 0.4350	LR: 0.020000
Training Epoch: 23 [8704/46200]	Loss: 0.4059	LR: 0.020000
Training Epoch: 23 [8960/46200]	Loss: 0.4307	LR: 0.020000
Training Epoch: 23 [9216/46200]	Loss: 0.3836	LR: 0.020000
Training Epoch: 23 [9472/46200]	Loss: 0.3789	LR: 0.020000
Training Epoch: 23 [9728/46200]	Loss: 0.3315	LR: 0.020000
Training Epoch: 23 [9984/46200]	Loss: 0.3999	LR: 0.020000
Training Epoch: 23 [10240/46200]	Loss: 0.4109	LR: 0.020000
Training Epoch: 23 [10496/46200]	Loss: 0.3757	LR: 0.020000
Training Epoch: 23 [10752/46200]	Loss: 0.4789	LR: 0.020000
Training Epoch: 23 [11008/46200]	Loss: 0.3895	LR: 0.020000
Training Epoch: 23 [11264/46200]	Loss: 0.4442	LR: 0.020000
Training Epoch: 23 [11520/46200]	Loss: 0.3499	LR: 0.020000
Training Epoch: 23 [11776/46200]	Loss: 0.4276	LR: 0.020000
Training Epoch: 23 [12032/46200]	Loss: 0.4558	LR: 0.020000
Training Epoch: 23 [12288/46200]	Loss: 0.4035	LR: 0.020000
Training Epoch: 23 [12544/46200]	Loss: 0.4105	LR: 0.020000
Training Epoch: 23 [12800/46200]	Loss: 0.4065	LR: 0.020000
Training Epoch: 23 [13056/46200]	Loss: 0.3575	LR: 0.020000
Training Epoch: 23 [13312/46200]	Loss: 0.3274	LR: 0.020000
Training Epoch: 23 [13568/46200]	Loss: 0.4595	LR: 0.020000
Training Epoch: 23 [13824/46200]	Loss: 0.3863	LR: 0.020000
Training Epoch: 23 [14080/46200]	Loss: 0.3317	LR: 0.020000
Training Epoch: 23 [14336/46200]	Loss: 0.4198	LR: 0.020000
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Training Epoch: 23 [14848/46200]	Loss: 0.3768	LR: 0.020000
Training Epoch: 23 [15104/46200]	Loss: 0.3720	LR: 0.020000
Training Epoch: 23 [15360/46200]	Loss: 0.3487	LR: 0.020000
Training Epoch: 23 [15616/46200]	Loss: 0.3147	LR: 0.020000
Training Epoch: 23 [15872/46200]	Loss: 0.4904	LR: 0.020000
Training Epoch: 23 [16128/46200]	Loss: 0.4494	LR: 0.020000
Training Epoch: 23 [16384/46200]	Loss: 0.4289	LR: 0.020000
Training Epoch: 23 [16640/46200]	Loss: 0.3458	LR: 0.020000
Training Epoch: 23 [16896/46200]	Loss: 0.3837	LR: 0.020000
Training Epoch: 23 [17152/46200]	Loss: 0.4718	LR: 0.020000
Training Epoch: 23 [17408/46200]	Loss: 0.4443	LR: 0.020000
Training Epoch: 23 [17664/46200]	Loss: 0.4056	LR: 0.020000
Training Epoch: 23 [17920/46200]	Loss: 0.4437	LR: 0.020000
Training Epoch: 23 [18176/46200]	Loss: 0.3734	LR: 0.020000
Training Epoch: 23 [18432/46200]	Loss: 0.4387	LR: 0.020000
Training Epoch: 23 [18688/46200]	Loss: 0.3822	LR: 0.020000
Training Epoch: 23 [18944/46200]	Loss: 0.4373	LR: 0.020000
Training Epoch: 23 [19200/46200]	Loss: 0.4797	LR: 0.020000
Training Epoch: 23 [19456/46200]	Loss: 0.4269	LR: 0.020000
Training Epoch: 23 [19712/46200]	Loss: 0.3914	LR: 0.020000
Training Epoch: 23 [19968/46200]	Loss: 0.4650	LR: 0.020000
Training Epoch: 23 [20224/46200]	Loss: 0.4799	LR: 0.020000
Training Epoch: 23 [20480/46200]	Loss: 0.4437	LR: 0.020000
Training Epoch: 23 [20736/46200]	Loss: 0.3627	LR: 0.020000
Training Epoch: 23 [20992/46200]	Loss: 0.3575	LR: 0.020000
Training Epoch: 23 [21248/46200]	Loss: 0.4051	LR: 0.020000
Training Epoch: 23 [21504/46200]	Loss: 0.4518	LR: 0.020000
Training Epoch: 23 [21760/46200]	Loss: 0.4903	LR: 0.020000
Training Epoch: 23 [22016/46200]	Loss: 0.3982	LR: 0.020000
Training Epoch: 23 [22272/46200]	Loss: 0.4636	LR: 0.020000
Training Epoch: 23 [22528/46200]	Loss: 0.3821	LR: 0.020000
Training Epoch: 23 [22784/46200]	Loss: 0.3814	LR: 0.020000
Training Epoch: 23 [23040/46200]	Loss: 0.4410	LR: 0.020000
Training Epoch: 23 [23296/46200]	Loss: 0.4862	LR: 0.020000
Training Epoch: 23 [23552/46200]	Loss: 0.3890	LR: 0.020000
Training Epoch: 23 [23808/46200]	Loss: 0.4605	LR: 0.020000
Training Epoch: 23 [24064/46200]	Loss: 0.3739	LR: 0.020000
Training Epoch: 23 [24320/46200]	Loss: 0.4571	LR: 0.020000
Training Epoch: 23 [24576/46200]	Loss: 0.4048	LR: 0.020000
Training Epoch: 23 [24832/46200]	Loss: 0.4524	LR: 0.020000
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Training Epoch: 23 [27904/46200]	Loss: 0.4274	LR: 0.020000
Training Epoch: 23 [28160/46200]	Loss: 0.4094	LR: 0.020000
Training Epoch: 23 [28416/46200]	Loss: 0.4275	LR: 0.020000
Training Epoch: 23 [28672/46200]	Loss: 0.3939	LR: 0.020000
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Training Epoch: 23 [37632/46200]	Loss: 0.5488	LR: 0.020000
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Training Epoch: 23 [38144/46200]	Loss: 0.5307	LR: 0.020000
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Training Epoch: 23 [39168/46200]	Loss: 0.3965	LR: 0.020000
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Training Epoch: 23 [40192/46200]	Loss: 0.5299	LR: 0.020000
Training Epoch: 23 [40448/46200]	Loss: 0.4216	LR: 0.020000
Training Epoch: 23 [40704/46200]	Loss: 0.4069	LR: 0.020000
Training Epoch: 23 [40960/46200]	Loss: 0.4548	LR: 0.020000
Training Epoch: 23 [41216/46200]	Loss: 0.3916	LR: 0.020000
Training Epoch: 23 [41472/46200]	Loss: 0.4759	LR: 0.020000
Training Epoch: 23 [41728/46200]	Loss: 0.4270	LR: 0.020000
Training Epoch: 23 [41984/46200]	Loss: 0.4405	LR: 0.020000
Training Epoch: 23 [42240/46200]	Loss: 0.4130	LR: 0.020000
Training Epoch: 23 [42496/46200]	Loss: 0.3426	LR: 0.020000
Training Epoch: 23 [42752/46200]	Loss: 0.4245	LR: 0.020000
Training Epoch: 23 [43008/46200]	Loss: 0.4310	LR: 0.020000
Training Epoch: 23 [43264/46200]	Loss: 0.4796	LR: 0.020000
Training Epoch: 23 [43520/46200]	Loss: 0.4742	LR: 0.020000
Training Epoch: 23 [43776/46200]	Loss: 0.4159	LR: 0.020000
Training Epoch: 23 [44032/46200]	Loss: 0.3841	LR: 0.020000
Training Epoch: 23 [44288/46200]	Loss: 0.4817	LR: 0.020000
Training Epoch: 23 [44544/46200]	Loss: 0.4071	LR: 0.020000
Training Epoch: 23 [44800/46200]	Loss: 0.5056	LR: 0.020000
Training Epoch: 23 [45056/46200]	Loss: 0.4859	LR: 0.020000
Training Epoch: 23 [45312/46200]	Loss: 0.3479	LR: 0.020000
Training Epoch: 23 [45568/46200]	Loss: 0.4429	LR: 0.020000
Training Epoch: 23 [45824/46200]	Loss: 0.4424	LR: 0.020000
Training Epoch: 23 [46080/46200]	Loss: 0.3253	LR: 0.020000
Training Epoch: 23 [46200/46200]	Loss: 0.4814	LR: 0.020000
Epoch 23 - Average Train Loss: 0.4196, Train Accuracy: 0.8597
Epoch 23 training time consumed: 27.85s
Evaluating Network.....
Test set: Epoch: 23, Average loss: 0.0030, Accuracy: 0.7741, Time consumed:0.91s
Training Epoch: 24 [256/46200]	Loss: 0.5130	LR: 0.020000
Training Epoch: 24 [512/46200]	Loss: 0.3203	LR: 0.020000
Training Epoch: 24 [768/46200]	Loss: 0.5108	LR: 0.020000
Training Epoch: 24 [1024/46200]	Loss: 0.3527	LR: 0.020000
Training Epoch: 24 [1280/46200]	Loss: 0.3539	LR: 0.020000
Training Epoch: 24 [1536/46200]	Loss: 0.3890	LR: 0.020000
Training Epoch: 24 [1792/46200]	Loss: 0.4194	LR: 0.020000
Training Epoch: 24 [2048/46200]	Loss: 0.4194	LR: 0.020000
Training Epoch: 24 [2304/46200]	Loss: 0.3896	LR: 0.020000
Training Epoch: 24 [2560/46200]	Loss: 0.4011	LR: 0.020000
Training Epoch: 24 [2816/46200]	Loss: 0.3833	LR: 0.020000
Training Epoch: 24 [3072/46200]	Loss: 0.4354	LR: 0.020000
Training Epoch: 24 [3328/46200]	Loss: 0.4521	LR: 0.020000
Training Epoch: 24 [3584/46200]	Loss: 0.3675	LR: 0.020000
Training Epoch: 24 [3840/46200]	Loss: 0.3417	LR: 0.020000
Training Epoch: 24 [4096/46200]	Loss: 0.4412	LR: 0.020000
Training Epoch: 24 [4352/46200]	Loss: 0.3227	LR: 0.020000
Training Epoch: 24 [4608/46200]	Loss: 0.4370	LR: 0.020000
Training Epoch: 24 [4864/46200]	Loss: 0.4280	LR: 0.020000
Training Epoch: 24 [5120/46200]	Loss: 0.3951	LR: 0.020000
Training Epoch: 24 [5376/46200]	Loss: 0.3880	LR: 0.020000
Training Epoch: 24 [5632/46200]	Loss: 0.4167	LR: 0.020000
Training Epoch: 24 [5888/46200]	Loss: 0.4533	LR: 0.020000
Training Epoch: 24 [6144/46200]	Loss: 0.3839	LR: 0.020000
Training Epoch: 24 [6400/46200]	Loss: 0.4047	LR: 0.020000
Training Epoch: 24 [6656/46200]	Loss: 0.3124	LR: 0.020000
Training Epoch: 24 [6912/46200]	Loss: 0.3525	LR: 0.020000
Training Epoch: 24 [7168/46200]	Loss: 0.3931	LR: 0.020000
Training Epoch: 24 [7424/46200]	Loss: 0.3594	LR: 0.020000
Training Epoch: 24 [7680/46200]	Loss: 0.3965	LR: 0.020000
Training Epoch: 24 [7936/46200]	Loss: 0.3663	LR: 0.020000
Training Epoch: 24 [8192/46200]	Loss: 0.2706	LR: 0.020000
Training Epoch: 24 [8448/46200]	Loss: 0.3763	LR: 0.020000
Training Epoch: 24 [8704/46200]	Loss: 0.3836	LR: 0.020000
Training Epoch: 24 [8960/46200]	Loss: 0.3643	LR: 0.020000
Training Epoch: 24 [9216/46200]	Loss: 0.3178	LR: 0.020000
Training Epoch: 24 [9472/46200]	Loss: 0.3444	LR: 0.020000
Training Epoch: 24 [9728/46200]	Loss: 0.4415	LR: 0.020000
Training Epoch: 24 [9984/46200]	Loss: 0.4923	LR: 0.020000
Training Epoch: 24 [10240/46200]	Loss: 0.3835	LR: 0.020000
Training Epoch: 24 [10496/46200]	Loss: 0.3324	LR: 0.020000
Training Epoch: 24 [10752/46200]	Loss: 0.3718	LR: 0.020000
Training Epoch: 24 [11008/46200]	Loss: 0.4443	LR: 0.020000
Training Epoch: 24 [11264/46200]	Loss: 0.4361	LR: 0.020000
Training Epoch: 24 [11520/46200]	Loss: 0.3878	LR: 0.020000
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Training Epoch: 24 [12032/46200]	Loss: 0.3586	LR: 0.020000
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Training Epoch: 24 [12544/46200]	Loss: 0.3849	LR: 0.020000
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Training Epoch: 24 [13056/46200]	Loss: 0.4095	LR: 0.020000
Training Epoch: 24 [13312/46200]	Loss: 0.3545	LR: 0.020000
Training Epoch: 24 [13568/46200]	Loss: 0.4300	LR: 0.020000
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Training Epoch: 24 [15360/46200]	Loss: 0.4936	LR: 0.020000
Training Epoch: 24 [15616/46200]	Loss: 0.4102	LR: 0.020000
Training Epoch: 24 [15872/46200]	Loss: 0.4040	LR: 0.020000
Training Epoch: 24 [16128/46200]	Loss: 0.3191	LR: 0.020000
Training Epoch: 24 [16384/46200]	Loss: 0.4158	LR: 0.020000
Training Epoch: 24 [16640/46200]	Loss: 0.3388	LR: 0.020000
Training Epoch: 24 [16896/46200]	Loss: 0.3144	LR: 0.020000
Training Epoch: 24 [17152/46200]	Loss: 0.3340	LR: 0.020000
Training Epoch: 24 [17408/46200]	Loss: 0.3042	LR: 0.020000
Training Epoch: 24 [17664/46200]	Loss: 0.4715	LR: 0.020000
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Training Epoch: 24 [18176/46200]	Loss: 0.3263	LR: 0.020000
Training Epoch: 24 [18432/46200]	Loss: 0.3794	LR: 0.020000
Training Epoch: 24 [18688/46200]	Loss: 0.4177	LR: 0.020000
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Training Epoch: 24 [19456/46200]	Loss: 0.3508	LR: 0.020000
Training Epoch: 24 [19712/46200]	Loss: 0.4061	LR: 0.020000
Training Epoch: 24 [19968/46200]	Loss: 0.3591	LR: 0.020000
Training Epoch: 24 [20224/46200]	Loss: 0.4564	LR: 0.020000
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Training Epoch: 24 [22016/46200]	Loss: 0.4030	LR: 0.020000
Training Epoch: 24 [22272/46200]	Loss: 0.3733	LR: 0.020000
Training Epoch: 24 [22528/46200]	Loss: 0.4399	LR: 0.020000
Training Epoch: 24 [22784/46200]	Loss: 0.4361	LR: 0.020000
Training Epoch: 24 [23040/46200]	Loss: 0.3227	LR: 0.020000
Training Epoch: 24 [23296/46200]	Loss: 0.4479	LR: 0.020000
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Training Epoch: 24 [23808/46200]	Loss: 0.3437	LR: 0.020000
Training Epoch: 24 [24064/46200]	Loss: 0.3926	LR: 0.020000
Training Epoch: 24 [24320/46200]	Loss: 0.3947	LR: 0.020000
Training Epoch: 24 [24576/46200]	Loss: 0.4453	LR: 0.020000
Training Epoch: 24 [24832/46200]	Loss: 0.3327	LR: 0.020000
Training Epoch: 24 [25088/46200]	Loss: 0.3803	LR: 0.020000
Training Epoch: 24 [25344/46200]	Loss: 0.4289	LR: 0.020000
Training Epoch: 24 [25600/46200]	Loss: 0.4230	LR: 0.020000
Training Epoch: 24 [25856/46200]	Loss: 0.4707	LR: 0.020000
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Training Epoch: 24 [26368/46200]	Loss: 0.4626	LR: 0.020000
Training Epoch: 24 [26624/46200]	Loss: 0.3597	LR: 0.020000
Training Epoch: 24 [26880/46200]	Loss: 0.3736	LR: 0.020000
Training Epoch: 24 [27136/46200]	Loss: 0.4432	LR: 0.020000
Training Epoch: 24 [27392/46200]	Loss: 0.3546	LR: 0.020000
Training Epoch: 24 [27648/46200]	Loss: 0.3834	LR: 0.020000
Training Epoch: 24 [27904/46200]	Loss: 0.3886	LR: 0.020000
Training Epoch: 24 [28160/46200]	Loss: 0.4492	LR: 0.020000
Training Epoch: 24 [28416/46200]	Loss: 0.3997	LR: 0.020000
Training Epoch: 24 [28672/46200]	Loss: 0.3910	LR: 0.020000
Training Epoch: 24 [28928/46200]	Loss: 0.4762	LR: 0.020000
Training Epoch: 24 [29184/46200]	Loss: 0.3877	LR: 0.020000
Training Epoch: 24 [29440/46200]	Loss: 0.4240	LR: 0.020000
Training Epoch: 24 [29696/46200]	Loss: 0.3981	LR: 0.020000
Training Epoch: 24 [29952/46200]	Loss: 0.4245	LR: 0.020000
Training Epoch: 24 [30208/46200]	Loss: 0.3907	LR: 0.020000
Training Epoch: 24 [30464/46200]	Loss: 0.3606	LR: 0.020000
Training Epoch: 24 [30720/46200]	Loss: 0.4168	LR: 0.020000
Training Epoch: 24 [30976/46200]	Loss: 0.3392	LR: 0.020000
Training Epoch: 24 [31232/46200]	Loss: 0.3172	LR: 0.020000
Training Epoch: 24 [31488/46200]	Loss: 0.3888	LR: 0.020000
Training Epoch: 24 [31744/46200]	Loss: 0.3567	LR: 0.020000
Training Epoch: 24 [32000/46200]	Loss: 0.3740	LR: 0.020000
Training Epoch: 24 [32256/46200]	Loss: 0.3976	LR: 0.020000
Training Epoch: 24 [32512/46200]	Loss: 0.4288	LR: 0.020000
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Training Epoch: 24 [36352/46200]	Loss: 0.5289	LR: 0.020000
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Training Epoch: 24 [37376/46200]	Loss: 0.5441	LR: 0.020000
Training Epoch: 24 [37632/46200]	Loss: 0.4094	LR: 0.020000
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Training Epoch: 24 [38144/46200]	Loss: 0.4563	LR: 0.020000
Training Epoch: 24 [38400/46200]	Loss: 0.3942	LR: 0.020000
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Training Epoch: 24 [38912/46200]	Loss: 0.4422	LR: 0.020000
Training Epoch: 24 [39168/46200]	Loss: 0.3056	LR: 0.020000
Training Epoch: 24 [39424/46200]	Loss: 0.4452	LR: 0.020000
Training Epoch: 24 [39680/46200]	Loss: 0.3749	LR: 0.020000
Training Epoch: 24 [39936/46200]	Loss: 0.4565	LR: 0.020000
Training Epoch: 24 [40192/46200]	Loss: 0.4054	LR: 0.020000
Training Epoch: 24 [40448/46200]	Loss: 0.4435	LR: 0.020000
Training Epoch: 24 [40704/46200]	Loss: 0.4291	LR: 0.020000
Training Epoch: 24 [40960/46200]	Loss: 0.4183	LR: 0.020000
Training Epoch: 24 [41216/46200]	Loss: 0.4066	LR: 0.020000
Training Epoch: 24 [41472/46200]	Loss: 0.5809	LR: 0.020000
Training Epoch: 24 [41728/46200]	Loss: 0.4358	LR: 0.020000
Training Epoch: 24 [41984/46200]	Loss: 0.4413	LR: 0.020000
Training Epoch: 24 [42240/46200]	Loss: 0.4979	LR: 0.020000
Training Epoch: 24 [42496/46200]	Loss: 0.4787	LR: 0.020000
Training Epoch: 24 [42752/46200]	Loss: 0.3043	LR: 0.020000
Training Epoch: 24 [43008/46200]	Loss: 0.4140	LR: 0.020000
Training Epoch: 24 [43264/46200]	Loss: 0.4145	LR: 0.020000
Training Epoch: 24 [43520/46200]	Loss: 0.3632	LR: 0.020000
Training Epoch: 24 [43776/46200]	Loss: 0.4558	LR: 0.020000
Training Epoch: 24 [44032/46200]	Loss: 0.4041	LR: 0.020000
Training Epoch: 24 [44288/46200]	Loss: 0.4457	LR: 0.020000
Training Epoch: 24 [44544/46200]	Loss: 0.5350	LR: 0.020000
Training Epoch: 24 [44800/46200]	Loss: 0.3611	LR: 0.020000
Training Epoch: 24 [45056/46200]	Loss: 0.3503	LR: 0.020000
Training Epoch: 24 [45312/46200]	Loss: 0.4258	LR: 0.020000
Training Epoch: 24 [45568/46200]	Loss: 0.3616	LR: 0.020000
Training Epoch: 24 [45824/46200]	Loss: 0.4138	LR: 0.020000
Training Epoch: 24 [46080/46200]	Loss: 0.4288	LR: 0.020000
Training Epoch: 24 [46200/46200]	Loss: 0.4325	LR: 0.020000
Epoch 24 - Average Train Loss: 0.3996, Train Accuracy: 0.8662
Epoch 24 training time consumed: 27.96s
Evaluating Network.....
Test set: Epoch: 24, Average loss: 0.0032, Accuracy: 0.7660, Time consumed:0.90s
Training Epoch: 25 [256/46200]	Loss: 0.4037	LR: 0.020000
Training Epoch: 25 [512/46200]	Loss: 0.3420	LR: 0.020000
Training Epoch: 25 [768/46200]	Loss: 0.2983	LR: 0.020000
Training Epoch: 25 [1024/46200]	Loss: 0.4254	LR: 0.020000
Training Epoch: 25 [1280/46200]	Loss: 0.4038	LR: 0.020000
Training Epoch: 25 [1536/46200]	Loss: 0.3689	LR: 0.020000
Training Epoch: 25 [1792/46200]	Loss: 0.3462	LR: 0.020000
Training Epoch: 25 [2048/46200]	Loss: 0.3542	LR: 0.020000
Training Epoch: 25 [2304/46200]	Loss: 0.4187	LR: 0.020000
Training Epoch: 25 [2560/46200]	Loss: 0.4108	LR: 0.020000
Training Epoch: 25 [2816/46200]	Loss: 0.3288	LR: 0.020000
Training Epoch: 25 [3072/46200]	Loss: 0.4007	LR: 0.020000
Training Epoch: 25 [3328/46200]	Loss: 0.4265	LR: 0.020000
Training Epoch: 25 [3584/46200]	Loss: 0.2977	LR: 0.020000
Training Epoch: 25 [3840/46200]	Loss: 0.3659	LR: 0.020000
Training Epoch: 25 [4096/46200]	Loss: 0.4136	LR: 0.020000
Training Epoch: 25 [4352/46200]	Loss: 0.3994	LR: 0.020000
Training Epoch: 25 [4608/46200]	Loss: 0.2987	LR: 0.020000
Training Epoch: 25 [4864/46200]	Loss: 0.3903	LR: 0.020000
Training Epoch: 25 [5120/46200]	Loss: 0.3528	LR: 0.020000
Training Epoch: 25 [5376/46200]	Loss: 0.3181	LR: 0.020000
Training Epoch: 25 [5632/46200]	Loss: 0.4213	LR: 0.020000
Training Epoch: 25 [5888/46200]	Loss: 0.3460	LR: 0.020000
Training Epoch: 25 [6144/46200]	Loss: 0.3869	LR: 0.020000
Training Epoch: 25 [6400/46200]	Loss: 0.4357	LR: 0.020000
Training Epoch: 25 [6656/46200]	Loss: 0.3749	LR: 0.020000
Training Epoch: 25 [6912/46200]	Loss: 0.3233	LR: 0.020000
Training Epoch: 25 [7168/46200]	Loss: 0.4051	LR: 0.020000
Training Epoch: 25 [7424/46200]	Loss: 0.3866	LR: 0.020000
Training Epoch: 25 [7680/46200]	Loss: 0.3210	LR: 0.020000
Training Epoch: 25 [7936/46200]	Loss: 0.4251	LR: 0.020000
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Training Epoch: 25 [8448/46200]	Loss: 0.3850	LR: 0.020000
Training Epoch: 25 [8704/46200]	Loss: 0.2447	LR: 0.020000
Training Epoch: 25 [8960/46200]	Loss: 0.4206	LR: 0.020000
Training Epoch: 25 [9216/46200]	Loss: 0.3677	LR: 0.020000
Training Epoch: 25 [9472/46200]	Loss: 0.3985	LR: 0.020000
Training Epoch: 25 [9728/46200]	Loss: 0.5411	LR: 0.020000
Training Epoch: 25 [9984/46200]	Loss: 0.3738	LR: 0.020000
Training Epoch: 25 [10240/46200]	Loss: 0.3600	LR: 0.020000
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Training Epoch: 25 [10752/46200]	Loss: 0.4160	LR: 0.020000
Training Epoch: 25 [11008/46200]	Loss: 0.3042	LR: 0.020000
Training Epoch: 25 [11264/46200]	Loss: 0.4159	LR: 0.020000
Training Epoch: 25 [11520/46200]	Loss: 0.3255	LR: 0.020000
Training Epoch: 25 [11776/46200]	Loss: 0.4369	LR: 0.020000
Training Epoch: 25 [12032/46200]	Loss: 0.3835	LR: 0.020000
Training Epoch: 25 [12288/46200]	Loss: 0.3586	LR: 0.020000
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Training Epoch: 25 [19200/46200]	Loss: 0.4026	LR: 0.020000
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Training Epoch: 25 [20224/46200]	Loss: 0.2989	LR: 0.020000
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Training Epoch: 25 [26368/46200]	Loss: 0.4060	LR: 0.020000
Training Epoch: 25 [26624/46200]	Loss: 0.4311	LR: 0.020000
Training Epoch: 25 [26880/46200]	Loss: 0.4928	LR: 0.020000
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Training Epoch: 25 [27648/46200]	Loss: 0.2918	LR: 0.020000
Training Epoch: 25 [27904/46200]	Loss: 0.4725	LR: 0.020000
Training Epoch: 25 [28160/46200]	Loss: 0.4223	LR: 0.020000
Training Epoch: 25 [28416/46200]	Loss: 0.3848	LR: 0.020000
Training Epoch: 25 [28672/46200]	Loss: 0.3379	LR: 0.020000
Training Epoch: 25 [28928/46200]	Loss: 0.4401	LR: 0.020000
Training Epoch: 25 [29184/46200]	Loss: 0.3929	LR: 0.020000
Training Epoch: 25 [29440/46200]	Loss: 0.4047	LR: 0.020000
Training Epoch: 25 [29696/46200]	Loss: 0.3611	LR: 0.020000
Training Epoch: 25 [29952/46200]	Loss: 0.3786	LR: 0.020000
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Training Epoch: 25 [30976/46200]	Loss: 0.3097	LR: 0.020000
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Training Epoch: 25 [35328/46200]	Loss: 0.3895	LR: 0.020000
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Training Epoch: 25 [36096/46200]	Loss: 0.4688	LR: 0.020000
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Training Epoch: 25 [37888/46200]	Loss: 0.4306	LR: 0.020000
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Training Epoch: 25 [38400/46200]	Loss: 0.3996	LR: 0.020000
Training Epoch: 25 [38656/46200]	Loss: 0.3571	LR: 0.020000
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Training Epoch: 25 [40192/46200]	Loss: 0.4128	LR: 0.020000
Training Epoch: 25 [40448/46200]	Loss: 0.4193	LR: 0.020000
Training Epoch: 25 [40704/46200]	Loss: 0.3796	LR: 0.020000
Training Epoch: 25 [40960/46200]	Loss: 0.4476	LR: 0.020000
Training Epoch: 25 [41216/46200]	Loss: 0.4068	LR: 0.020000
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Training Epoch: 25 [41728/46200]	Loss: 0.4485	LR: 0.020000
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Training Epoch: 25 [42240/46200]	Loss: 0.3973	LR: 0.020000
Training Epoch: 25 [42496/46200]	Loss: 0.3461	LR: 0.020000
Training Epoch: 25 [42752/46200]	Loss: 0.4270	LR: 0.020000
Training Epoch: 25 [43008/46200]	Loss: 0.4133	LR: 0.020000
Training Epoch: 25 [43264/46200]	Loss: 0.4225	LR: 0.020000
Training Epoch: 25 [43520/46200]	Loss: 0.4285	LR: 0.020000
Training Epoch: 25 [43776/46200]	Loss: 0.3163	LR: 0.020000
Training Epoch: 25 [44032/46200]	Loss: 0.4274	LR: 0.020000
Training Epoch: 25 [44288/46200]	Loss: 0.5054	LR: 0.020000
Training Epoch: 25 [44544/46200]	Loss: 0.3793	LR: 0.020000
Training Epoch: 25 [44800/46200]	Loss: 0.4895	LR: 0.020000
Training Epoch: 25 [45056/46200]	Loss: 0.3687	LR: 0.020000
Training Epoch: 25 [45312/46200]	Loss: 0.4603	LR: 0.020000
Training Epoch: 25 [45568/46200]	Loss: 0.3545	LR: 0.020000
Training Epoch: 25 [45824/46200]	Loss: 0.4591	LR: 0.020000
Training Epoch: 25 [46080/46200]	Loss: 0.3732	LR: 0.020000
Training Epoch: 25 [46200/46200]	Loss: 0.4821	LR: 0.020000
Epoch 25 - Average Train Loss: 0.3911, Train Accuracy: 0.8686
Epoch 25 training time consumed: 27.86s
Evaluating Network.....
Test set: Epoch: 25, Average loss: 0.0033, Accuracy: 0.7602, Time consumed:0.95s
Training Epoch: 26 [256/46200]	Loss: 0.3229	LR: 0.020000
Training Epoch: 26 [512/46200]	Loss: 0.3558	LR: 0.020000
Training Epoch: 26 [768/46200]	Loss: 0.3805	LR: 0.020000
Training Epoch: 26 [1024/46200]	Loss: 0.3096	LR: 0.020000
Training Epoch: 26 [1280/46200]	Loss: 0.3370	LR: 0.020000
Training Epoch: 26 [1536/46200]	Loss: 0.2671	LR: 0.020000
Training Epoch: 26 [1792/46200]	Loss: 0.3465	LR: 0.020000
Training Epoch: 26 [2048/46200]	Loss: 0.3288	LR: 0.020000
Training Epoch: 26 [2304/46200]	Loss: 0.3638	LR: 0.020000
Training Epoch: 26 [2560/46200]	Loss: 0.3692	LR: 0.020000
Training Epoch: 26 [2816/46200]	Loss: 0.4151	LR: 0.020000
Training Epoch: 26 [3072/46200]	Loss: 0.3975	LR: 0.020000
Training Epoch: 26 [3328/46200]	Loss: 0.3851	LR: 0.020000
Training Epoch: 26 [3584/46200]	Loss: 0.2847	LR: 0.020000
Training Epoch: 26 [3840/46200]	Loss: 0.4372	LR: 0.020000
Training Epoch: 26 [4096/46200]	Loss: 0.2918	LR: 0.020000
Training Epoch: 26 [4352/46200]	Loss: 0.4600	LR: 0.020000
Training Epoch: 26 [4608/46200]	Loss: 0.3193	LR: 0.020000
Training Epoch: 26 [4864/46200]	Loss: 0.3686	LR: 0.020000
Training Epoch: 26 [5120/46200]	Loss: 0.3364	LR: 0.020000
Training Epoch: 26 [5376/46200]	Loss: 0.3545	LR: 0.020000
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Training Epoch: 26 [5888/46200]	Loss: 0.3111	LR: 0.020000
Training Epoch: 26 [6144/46200]	Loss: 0.2861	LR: 0.020000
Training Epoch: 26 [6400/46200]	Loss: 0.3619	LR: 0.020000
Training Epoch: 26 [6656/46200]	Loss: 0.3745	LR: 0.020000
Training Epoch: 26 [6912/46200]	Loss: 0.3389	LR: 0.020000
Training Epoch: 26 [7168/46200]	Loss: 0.3611	LR: 0.020000
Training Epoch: 26 [7424/46200]	Loss: 0.4075	LR: 0.020000
Training Epoch: 26 [7680/46200]	Loss: 0.2892	LR: 0.020000
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Training Epoch: 26 [8192/46200]	Loss: 0.3359	LR: 0.020000
Training Epoch: 26 [8448/46200]	Loss: 0.3430	LR: 0.020000
Training Epoch: 26 [8704/46200]	Loss: 0.2763	LR: 0.020000
Training Epoch: 26 [8960/46200]	Loss: 0.3415	LR: 0.020000
Training Epoch: 26 [9216/46200]	Loss: 0.4162	LR: 0.020000
Training Epoch: 26 [9472/46200]	Loss: 0.4202	LR: 0.020000
Training Epoch: 26 [9728/46200]	Loss: 0.3192	LR: 0.020000
Training Epoch: 26 [9984/46200]	Loss: 0.3625	LR: 0.020000
Training Epoch: 26 [10240/46200]	Loss: 0.2955	LR: 0.020000
Training Epoch: 26 [10496/46200]	Loss: 0.3614	LR: 0.020000
Training Epoch: 26 [10752/46200]	Loss: 0.2959	LR: 0.020000
Training Epoch: 26 [11008/46200]	Loss: 0.3390	LR: 0.020000
Training Epoch: 26 [11264/46200]	Loss: 0.3783	LR: 0.020000
Training Epoch: 26 [11520/46200]	Loss: 0.4384	LR: 0.020000
Training Epoch: 26 [11776/46200]	Loss: 0.3637	LR: 0.020000
Training Epoch: 26 [12032/46200]	Loss: 0.3752	LR: 0.020000
Training Epoch: 26 [12288/46200]	Loss: 0.4058	LR: 0.020000
Training Epoch: 26 [12544/46200]	Loss: 0.3578	LR: 0.020000
Training Epoch: 26 [12800/46200]	Loss: 0.3047	LR: 0.020000
Training Epoch: 26 [13056/46200]	Loss: 0.3380	LR: 0.020000
Training Epoch: 26 [13312/46200]	Loss: 0.3371	LR: 0.020000
Training Epoch: 26 [13568/46200]	Loss: 0.3246	LR: 0.020000
Training Epoch: 26 [13824/46200]	Loss: 0.3244	LR: 0.020000
Training Epoch: 26 [14080/46200]	Loss: 0.3256	LR: 0.020000
Training Epoch: 26 [14336/46200]	Loss: 0.3601	LR: 0.020000
Training Epoch: 26 [14592/46200]	Loss: 0.3455	LR: 0.020000
Training Epoch: 26 [14848/46200]	Loss: 0.3967	LR: 0.020000
Training Epoch: 26 [15104/46200]	Loss: 0.2998	LR: 0.020000
Training Epoch: 26 [15360/46200]	Loss: 0.3132	LR: 0.020000
Training Epoch: 26 [15616/46200]	Loss: 0.3394	LR: 0.020000
Training Epoch: 26 [15872/46200]	Loss: 0.3272	LR: 0.020000
Training Epoch: 26 [16128/46200]	Loss: 0.3401	LR: 0.020000
Training Epoch: 26 [16384/46200]	Loss: 0.3208	LR: 0.020000
Training Epoch: 26 [16640/46200]	Loss: 0.2457	LR: 0.020000
Training Epoch: 26 [16896/46200]	Loss: 0.4540	LR: 0.020000
Training Epoch: 26 [17152/46200]	Loss: 0.4213	LR: 0.020000
Training Epoch: 26 [17408/46200]	Loss: 0.4156	LR: 0.020000
Training Epoch: 26 [17664/46200]	Loss: 0.2815	LR: 0.020000
Training Epoch: 26 [17920/46200]	Loss: 0.4159	LR: 0.020000
Training Epoch: 26 [18176/46200]	Loss: 0.3888	LR: 0.020000
Training Epoch: 26 [18432/46200]	Loss: 0.3507	LR: 0.020000
Training Epoch: 26 [18688/46200]	Loss: 0.4742	LR: 0.020000
Training Epoch: 26 [18944/46200]	Loss: 0.4418	LR: 0.020000
Training Epoch: 26 [19200/46200]	Loss: 0.3843	LR: 0.020000
Training Epoch: 26 [19456/46200]	Loss: 0.3562	LR: 0.020000
Training Epoch: 26 [19712/46200]	Loss: 0.3331	LR: 0.020000
Training Epoch: 26 [19968/46200]	Loss: 0.4048	LR: 0.020000
Training Epoch: 26 [20224/46200]	Loss: 0.3945	LR: 0.020000
Training Epoch: 26 [20480/46200]	Loss: 0.3077	LR: 0.020000
Training Epoch: 26 [20736/46200]	Loss: 0.3113	LR: 0.020000
Training Epoch: 26 [20992/46200]	Loss: 0.3474	LR: 0.020000
Training Epoch: 26 [21248/46200]	Loss: 0.3508	LR: 0.020000
Training Epoch: 26 [21504/46200]	Loss: 0.3483	LR: 0.020000
Training Epoch: 26 [21760/46200]	Loss: 0.4066	LR: 0.020000
Training Epoch: 26 [22016/46200]	Loss: 0.3362	LR: 0.020000
Training Epoch: 26 [22272/46200]	Loss: 0.3901	LR: 0.020000
Training Epoch: 26 [22528/46200]	Loss: 0.3614	LR: 0.020000
Training Epoch: 26 [22784/46200]	Loss: 0.3026	LR: 0.020000
Training Epoch: 26 [23040/46200]	Loss: 0.3822	LR: 0.020000
Training Epoch: 26 [23296/46200]	Loss: 0.3427	LR: 0.020000
Training Epoch: 26 [23552/46200]	Loss: 0.3943	LR: 0.020000
Training Epoch: 26 [23808/46200]	Loss: 0.4171	LR: 0.020000
Training Epoch: 26 [24064/46200]	Loss: 0.4369	LR: 0.020000
Training Epoch: 26 [24320/46200]	Loss: 0.4417	LR: 0.020000
Training Epoch: 26 [24576/46200]	Loss: 0.3827	LR: 0.020000
Training Epoch: 26 [24832/46200]	Loss: 0.5239	LR: 0.020000
Training Epoch: 26 [25088/46200]	Loss: 0.3983	LR: 0.020000
Training Epoch: 26 [25344/46200]	Loss: 0.4334	LR: 0.020000
Training Epoch: 26 [25600/46200]	Loss: 0.4996	LR: 0.020000
Training Epoch: 26 [25856/46200]	Loss: 0.3801	LR: 0.020000
Training Epoch: 26 [26112/46200]	Loss: 0.3544	LR: 0.020000
Training Epoch: 26 [26368/46200]	Loss: 0.3511	LR: 0.020000
Training Epoch: 26 [26624/46200]	Loss: 0.4468	LR: 0.020000
Training Epoch: 26 [26880/46200]	Loss: 0.3937	LR: 0.020000
Training Epoch: 26 [27136/46200]	Loss: 0.4003	LR: 0.020000
Training Epoch: 26 [27392/46200]	Loss: 0.3858	LR: 0.020000
Training Epoch: 26 [27648/46200]	Loss: 0.4060	LR: 0.020000
Training Epoch: 26 [27904/46200]	Loss: 0.4448	LR: 0.020000
Training Epoch: 26 [28160/46200]	Loss: 0.3535	LR: 0.020000
Training Epoch: 26 [28416/46200]	Loss: 0.3825	LR: 0.020000
Training Epoch: 26 [28672/46200]	Loss: 0.3792	LR: 0.020000
Training Epoch: 26 [28928/46200]	Loss: 0.3874	LR: 0.020000
Training Epoch: 26 [29184/46200]	Loss: 0.3622	LR: 0.020000
Training Epoch: 26 [29440/46200]	Loss: 0.4931	LR: 0.020000
Training Epoch: 26 [29696/46200]	Loss: 0.3440	LR: 0.020000
Training Epoch: 26 [29952/46200]	Loss: 0.3744	LR: 0.020000
Training Epoch: 26 [30208/46200]	Loss: 0.4364	LR: 0.020000
Training Epoch: 26 [30464/46200]	Loss: 0.3642	LR: 0.020000
Training Epoch: 26 [30720/46200]	Loss: 0.4044	LR: 0.020000
Training Epoch: 26 [30976/46200]	Loss: 0.4978	LR: 0.020000
Training Epoch: 26 [31232/46200]	Loss: 0.4215	LR: 0.020000
Training Epoch: 26 [31488/46200]	Loss: 0.3752	LR: 0.020000
Training Epoch: 26 [31744/46200]	Loss: 0.4103	LR: 0.020000
Training Epoch: 26 [32000/46200]	Loss: 0.3936	LR: 0.020000
Training Epoch: 26 [32256/46200]	Loss: 0.3879	LR: 0.020000
Training Epoch: 26 [32512/46200]	Loss: 0.3239	LR: 0.020000
Training Epoch: 26 [32768/46200]	Loss: 0.3748	LR: 0.020000
Training Epoch: 26 [33024/46200]	Loss: 0.5109	LR: 0.020000
Training Epoch: 26 [33280/46200]	Loss: 0.4588	LR: 0.020000
Training Epoch: 26 [33536/46200]	Loss: 0.3891	LR: 0.020000
Training Epoch: 26 [33792/46200]	Loss: 0.3998	LR: 0.020000
Training Epoch: 26 [34048/46200]	Loss: 0.3921	LR: 0.020000
Training Epoch: 26 [34304/46200]	Loss: 0.3848	LR: 0.020000
Training Epoch: 26 [34560/46200]	Loss: 0.3673	LR: 0.020000
Training Epoch: 26 [34816/46200]	Loss: 0.3405	LR: 0.020000
Training Epoch: 26 [35072/46200]	Loss: 0.4228	LR: 0.020000
Training Epoch: 26 [35328/46200]	Loss: 0.3341	LR: 0.020000
Training Epoch: 26 [35584/46200]	Loss: 0.3938	LR: 0.020000
Training Epoch: 26 [35840/46200]	Loss: 0.4513	LR: 0.020000
Training Epoch: 26 [36096/46200]	Loss: 0.3840	LR: 0.020000
Training Epoch: 26 [36352/46200]	Loss: 0.4216	LR: 0.020000
Training Epoch: 26 [36608/46200]	Loss: 0.4687	LR: 0.020000
Training Epoch: 26 [36864/46200]	Loss: 0.3666	LR: 0.020000
Training Epoch: 26 [37120/46200]	Loss: 0.4461	LR: 0.020000
Training Epoch: 26 [37376/46200]	Loss: 0.3061	LR: 0.020000
Training Epoch: 26 [37632/46200]	Loss: 0.3317	LR: 0.020000
Training Epoch: 26 [37888/46200]	Loss: 0.3371	LR: 0.020000
Training Epoch: 26 [38144/46200]	Loss: 0.3846	LR: 0.020000
Training Epoch: 26 [38400/46200]	Loss: 0.3569	LR: 0.020000
Training Epoch: 26 [38656/46200]	Loss: 0.3513	LR: 0.020000
Training Epoch: 26 [38912/46200]	Loss: 0.4752	LR: 0.020000
Training Epoch: 26 [39168/46200]	Loss: 0.4121	LR: 0.020000
Training Epoch: 26 [39424/46200]	Loss: 0.3333	LR: 0.020000
Training Epoch: 26 [39680/46200]	Loss: 0.3616	LR: 0.020000
Training Epoch: 26 [39936/46200]	Loss: 0.3866	LR: 0.020000
Training Epoch: 26 [40192/46200]	Loss: 0.4333	LR: 0.020000
Training Epoch: 26 [40448/46200]	Loss: 0.3567	LR: 0.020000
Training Epoch: 26 [40704/46200]	Loss: 0.3529	LR: 0.020000
Training Epoch: 26 [40960/46200]	Loss: 0.3765	LR: 0.020000
Training Epoch: 26 [41216/46200]	Loss: 0.4559	LR: 0.020000
Training Epoch: 26 [41472/46200]	Loss: 0.3494	LR: 0.020000
Training Epoch: 26 [41728/46200]	Loss: 0.3875	LR: 0.020000
Training Epoch: 26 [41984/46200]	Loss: 0.3298	LR: 0.020000
Training Epoch: 26 [42240/46200]	Loss: 0.5041	LR: 0.020000
Training Epoch: 26 [42496/46200]	Loss: 0.3381	LR: 0.020000
Training Epoch: 26 [42752/46200]	Loss: 0.4608	LR: 0.020000
Training Epoch: 26 [43008/46200]	Loss: 0.4709	LR: 0.020000
Training Epoch: 26 [43264/46200]	Loss: 0.4480	LR: 0.020000
Training Epoch: 26 [43520/46200]	Loss: 0.4416	LR: 0.020000
Training Epoch: 26 [43776/46200]	Loss: 0.2992	LR: 0.020000
Training Epoch: 26 [44032/46200]	Loss: 0.4037	LR: 0.020000
Training Epoch: 26 [44288/46200]	Loss: 0.4296	LR: 0.020000
Training Epoch: 26 [44544/46200]	Loss: 0.4122	LR: 0.020000
Training Epoch: 26 [44800/46200]	Loss: 0.3207	LR: 0.020000
Training Epoch: 26 [45056/46200]	Loss: 0.2881	LR: 0.020000
Training Epoch: 26 [45312/46200]	Loss: 0.4649	LR: 0.020000
Training Epoch: 26 [45568/46200]	Loss: 0.3812	LR: 0.020000
Training Epoch: 26 [45824/46200]	Loss: 0.4877	LR: 0.020000
Training Epoch: 26 [46080/46200]	Loss: 0.4010	LR: 0.020000
Training Epoch: 26 [46200/46200]	Loss: 0.4529	LR: 0.020000
Epoch 26 - Average Train Loss: 0.3763, Train Accuracy: 0.8739
Epoch 26 training time consumed: 28.03s
Evaluating Network.....
Test set: Epoch: 26, Average loss: 0.0031, Accuracy: 0.7723, Time consumed:0.96s
Training Epoch: 27 [256/46200]	Loss: 0.3359	LR: 0.020000
Training Epoch: 27 [512/46200]	Loss: 0.3311	LR: 0.020000
Training Epoch: 27 [768/46200]	Loss: 0.3578	LR: 0.020000
Training Epoch: 27 [1024/46200]	Loss: 0.3648	LR: 0.020000
Training Epoch: 27 [1280/46200]	Loss: 0.3413	LR: 0.020000
Training Epoch: 27 [1536/46200]	Loss: 0.3700	LR: 0.020000
Training Epoch: 27 [1792/46200]	Loss: 0.3780	LR: 0.020000
Training Epoch: 27 [2048/46200]	Loss: 0.3903	LR: 0.020000
Training Epoch: 27 [2304/46200]	Loss: 0.3785	LR: 0.020000
Training Epoch: 27 [2560/46200]	Loss: 0.3720	LR: 0.020000
Training Epoch: 27 [2816/46200]	Loss: 0.3285	LR: 0.020000
Training Epoch: 27 [3072/46200]	Loss: 0.3487	LR: 0.020000
Training Epoch: 27 [3328/46200]	Loss: 0.3631	LR: 0.020000
Training Epoch: 27 [3584/46200]	Loss: 0.2784	LR: 0.020000
Training Epoch: 27 [3840/46200]	Loss: 0.3766	LR: 0.020000
Training Epoch: 27 [4096/46200]	Loss: 0.3447	LR: 0.020000
Training Epoch: 27 [4352/46200]	Loss: 0.3736	LR: 0.020000
Training Epoch: 27 [4608/46200]	Loss: 0.2863	LR: 0.020000
Training Epoch: 27 [4864/46200]	Loss: 0.3668	LR: 0.020000
Training Epoch: 27 [5120/46200]	Loss: 0.3455	LR: 0.020000
Training Epoch: 27 [5376/46200]	Loss: 0.2978	LR: 0.020000
Training Epoch: 27 [5632/46200]	Loss: 0.3552	LR: 0.020000
Training Epoch: 27 [5888/46200]	Loss: 0.2996	LR: 0.020000
Training Epoch: 27 [6144/46200]	Loss: 0.2994	LR: 0.020000
Training Epoch: 27 [6400/46200]	Loss: 0.3584	LR: 0.020000
Training Epoch: 27 [6656/46200]	Loss: 0.4228	LR: 0.020000
Training Epoch: 27 [6912/46200]	Loss: 0.3991	LR: 0.020000
Training Epoch: 27 [7168/46200]	Loss: 0.3583	LR: 0.020000
Training Epoch: 27 [7424/46200]	Loss: 0.3247	LR: 0.020000
Training Epoch: 27 [7680/46200]	Loss: 0.4234	LR: 0.020000
Training Epoch: 27 [7936/46200]	Loss: 0.2624	LR: 0.020000
Training Epoch: 27 [8192/46200]	Loss: 0.3720	LR: 0.020000
Training Epoch: 27 [8448/46200]	Loss: 0.4171	LR: 0.020000
Training Epoch: 27 [8704/46200]	Loss: 0.3528	LR: 0.020000
Training Epoch: 27 [8960/46200]	Loss: 0.3327	LR: 0.020000
Training Epoch: 27 [9216/46200]	Loss: 0.3670	LR: 0.020000
Training Epoch: 27 [9472/46200]	Loss: 0.3893	LR: 0.020000
Training Epoch: 27 [9728/46200]	Loss: 0.3016	LR: 0.020000
Training Epoch: 27 [9984/46200]	Loss: 0.4029	LR: 0.020000
Training Epoch: 27 [10240/46200]	Loss: 0.3262	LR: 0.020000
Training Epoch: 27 [10496/46200]	Loss: 0.3316	LR: 0.020000
Training Epoch: 27 [10752/46200]	Loss: 0.3041	LR: 0.020000
Training Epoch: 27 [11008/46200]	Loss: 0.3369	LR: 0.020000
Training Epoch: 27 [11264/46200]	Loss: 0.4232	LR: 0.020000
Training Epoch: 27 [11520/46200]	Loss: 0.4154	LR: 0.020000
Training Epoch: 27 [11776/46200]	Loss: 0.4190	LR: 0.020000
Training Epoch: 27 [12032/46200]	Loss: 0.3485	LR: 0.020000
Training Epoch: 27 [12288/46200]	Loss: 0.3274	LR: 0.020000
Training Epoch: 27 [12544/46200]	Loss: 0.2683	LR: 0.020000
Training Epoch: 27 [12800/46200]	Loss: 0.4607	LR: 0.020000
Training Epoch: 27 [13056/46200]	Loss: 0.3190	LR: 0.020000
Training Epoch: 27 [13312/46200]	Loss: 0.4040	LR: 0.020000
Training Epoch: 27 [13568/46200]	Loss: 0.3690	LR: 0.020000
Training Epoch: 27 [13824/46200]	Loss: 0.4310	LR: 0.020000
Training Epoch: 27 [14080/46200]	Loss: 0.3698	LR: 0.020000
Training Epoch: 27 [14336/46200]	Loss: 0.4061	LR: 0.020000
Training Epoch: 27 [14592/46200]	Loss: 0.3905	LR: 0.020000
Training Epoch: 27 [14848/46200]	Loss: 0.3007	LR: 0.020000
Training Epoch: 27 [15104/46200]	Loss: 0.2727	LR: 0.020000
Training Epoch: 27 [15360/46200]	Loss: 0.3770	LR: 0.020000
Training Epoch: 27 [15616/46200]	Loss: 0.3377	LR: 0.020000
Training Epoch: 27 [15872/46200]	Loss: 0.3889	LR: 0.020000
Training Epoch: 27 [16128/46200]	Loss: 0.3440	LR: 0.020000
Training Epoch: 27 [16384/46200]	Loss: 0.3771	LR: 0.020000
Training Epoch: 27 [16640/46200]	Loss: 0.3973	LR: 0.020000
Training Epoch: 27 [16896/46200]	Loss: 0.3348	LR: 0.020000
Training Epoch: 27 [17152/46200]	Loss: 0.3476	LR: 0.020000
Training Epoch: 27 [17408/46200]	Loss: 0.3468	LR: 0.020000
Training Epoch: 27 [17664/46200]	Loss: 0.3166	LR: 0.020000
Training Epoch: 27 [17920/46200]	Loss: 0.3623	LR: 0.020000
Training Epoch: 27 [18176/46200]	Loss: 0.4076	LR: 0.020000
Training Epoch: 27 [18432/46200]	Loss: 0.3499	LR: 0.020000
Training Epoch: 27 [18688/46200]	Loss: 0.4048	LR: 0.020000
Training Epoch: 27 [18944/46200]	Loss: 0.3782	LR: 0.020000
Training Epoch: 27 [19200/46200]	Loss: 0.3223	LR: 0.020000
Training Epoch: 27 [19456/46200]	Loss: 0.3321	LR: 0.020000
Training Epoch: 27 [19712/46200]	Loss: 0.3974	LR: 0.020000
Training Epoch: 27 [19968/46200]	Loss: 0.3627	LR: 0.020000
Training Epoch: 27 [20224/46200]	Loss: 0.3757	LR: 0.020000
Training Epoch: 27 [20480/46200]	Loss: 0.3189	LR: 0.020000
Training Epoch: 27 [20736/46200]	Loss: 0.3946	LR: 0.020000
Training Epoch: 27 [20992/46200]	Loss: 0.3342	LR: 0.020000
Training Epoch: 27 [21248/46200]	Loss: 0.3202	LR: 0.020000
Training Epoch: 27 [21504/46200]	Loss: 0.3693	LR: 0.020000
Training Epoch: 27 [21760/46200]	Loss: 0.2899	LR: 0.020000
Training Epoch: 27 [22016/46200]	Loss: 0.3223	LR: 0.020000
Training Epoch: 27 [22272/46200]	Loss: 0.3214	LR: 0.020000
Training Epoch: 27 [22528/46200]	Loss: 0.3894	LR: 0.020000
Training Epoch: 27 [22784/46200]	Loss: 0.4993	LR: 0.020000
Training Epoch: 27 [23040/46200]	Loss: 0.3282	LR: 0.020000
Training Epoch: 27 [23296/46200]	Loss: 0.2800	LR: 0.020000
Training Epoch: 27 [23552/46200]	Loss: 0.4404	LR: 0.020000
Training Epoch: 27 [23808/46200]	Loss: 0.3833	LR: 0.020000
Training Epoch: 27 [24064/46200]	Loss: 0.4627	LR: 0.020000
Training Epoch: 27 [24320/46200]	Loss: 0.3291	LR: 0.020000
Training Epoch: 27 [24576/46200]	Loss: 0.3522	LR: 0.020000
Training Epoch: 27 [24832/46200]	Loss: 0.4584	LR: 0.020000
Training Epoch: 27 [25088/46200]	Loss: 0.3532	LR: 0.020000
Training Epoch: 27 [25344/46200]	Loss: 0.4077	LR: 0.020000
Training Epoch: 27 [25600/46200]	Loss: 0.3752	LR: 0.020000
Training Epoch: 27 [25856/46200]	Loss: 0.2681	LR: 0.020000
Training Epoch: 27 [26112/46200]	Loss: 0.3476	LR: 0.020000
Training Epoch: 27 [26368/46200]	Loss: 0.3860	LR: 0.020000
Training Epoch: 27 [26624/46200]	Loss: 0.4260	LR: 0.020000
Training Epoch: 27 [26880/46200]	Loss: 0.3508	LR: 0.020000
Training Epoch: 27 [27136/46200]	Loss: 0.3267	LR: 0.020000
Training Epoch: 27 [27392/46200]	Loss: 0.3206	LR: 0.020000
Training Epoch: 27 [27648/46200]	Loss: 0.3746	LR: 0.020000
Training Epoch: 27 [27904/46200]	Loss: 0.5369	LR: 0.020000
Training Epoch: 27 [28160/46200]	Loss: 0.3791	LR: 0.020000
Training Epoch: 27 [28416/46200]	Loss: 0.3525	LR: 0.020000
Training Epoch: 27 [28672/46200]	Loss: 0.3407	LR: 0.020000
Training Epoch: 27 [28928/46200]	Loss: 0.3879	LR: 0.020000
Training Epoch: 27 [29184/46200]	Loss: 0.3421	LR: 0.020000
Training Epoch: 27 [29440/46200]	Loss: 0.3621	LR: 0.020000
Training Epoch: 27 [29696/46200]	Loss: 0.3513	LR: 0.020000
Training Epoch: 27 [29952/46200]	Loss: 0.3222	LR: 0.020000
Training Epoch: 27 [30208/46200]	Loss: 0.3087	LR: 0.020000
Training Epoch: 27 [30464/46200]	Loss: 0.4922	LR: 0.020000
Training Epoch: 27 [30720/46200]	Loss: 0.3905	LR: 0.020000
Training Epoch: 27 [30976/46200]	Loss: 0.3330	LR: 0.020000
Training Epoch: 27 [31232/46200]	Loss: 0.2682	LR: 0.020000
Training Epoch: 27 [31488/46200]	Loss: 0.4002	LR: 0.020000
Training Epoch: 27 [31744/46200]	Loss: 0.3863	LR: 0.020000
Training Epoch: 27 [32000/46200]	Loss: 0.3543	LR: 0.020000
Training Epoch: 27 [32256/46200]	Loss: 0.4388	LR: 0.020000
Training Epoch: 27 [32512/46200]	Loss: 0.3492	LR: 0.020000
Training Epoch: 27 [32768/46200]	Loss: 0.3589	LR: 0.020000
Training Epoch: 27 [33024/46200]	Loss: 0.3861	LR: 0.020000
Training Epoch: 27 [33280/46200]	Loss: 0.2970	LR: 0.020000
Training Epoch: 27 [33536/46200]	Loss: 0.3704	LR: 0.020000
Training Epoch: 27 [33792/46200]	Loss: 0.4601	LR: 0.020000
Training Epoch: 27 [34048/46200]	Loss: 0.2973	LR: 0.020000
Training Epoch: 27 [34304/46200]	Loss: 0.3317	LR: 0.020000
Training Epoch: 27 [34560/46200]	Loss: 0.3387	LR: 0.020000
Training Epoch: 27 [34816/46200]	Loss: 0.3074	LR: 0.020000
Training Epoch: 27 [35072/46200]	Loss: 0.4073	LR: 0.020000
Training Epoch: 27 [35328/46200]	Loss: 0.3739	LR: 0.020000
Training Epoch: 27 [35584/46200]	Loss: 0.3058	LR: 0.020000
Training Epoch: 27 [35840/46200]	Loss: 0.3640	LR: 0.020000
Training Epoch: 27 [36096/46200]	Loss: 0.4126	LR: 0.020000
Training Epoch: 27 [36352/46200]	Loss: 0.4358	LR: 0.020000
Training Epoch: 27 [36608/46200]	Loss: 0.3370	LR: 0.020000
Training Epoch: 27 [36864/46200]	Loss: 0.3814	LR: 0.020000
Training Epoch: 27 [37120/46200]	Loss: 0.3772	LR: 0.020000
Training Epoch: 27 [37376/46200]	Loss: 0.3809	LR: 0.020000
Training Epoch: 27 [37632/46200]	Loss: 0.3398	LR: 0.020000
Training Epoch: 27 [37888/46200]	Loss: 0.4303	LR: 0.020000
Training Epoch: 27 [38144/46200]	Loss: 0.4042	LR: 0.020000
Training Epoch: 27 [38400/46200]	Loss: 0.3439	LR: 0.020000
Training Epoch: 27 [38656/46200]	Loss: 0.3184	LR: 0.020000
Training Epoch: 27 [38912/46200]	Loss: 0.3671	LR: 0.020000
Training Epoch: 27 [39168/46200]	Loss: 0.3679	LR: 0.020000
Training Epoch: 27 [39424/46200]	Loss: 0.3274	LR: 0.020000
Training Epoch: 27 [39680/46200]	Loss: 0.3729	LR: 0.020000
Training Epoch: 27 [39936/46200]	Loss: 0.4701	LR: 0.020000
Training Epoch: 27 [40192/46200]	Loss: 0.4699	LR: 0.020000
Training Epoch: 27 [40448/46200]	Loss: 0.4353	LR: 0.020000
Training Epoch: 27 [40704/46200]	Loss: 0.4045	LR: 0.020000
Training Epoch: 27 [40960/46200]	Loss: 0.3012	LR: 0.020000
Training Epoch: 27 [41216/46200]	Loss: 0.2898	LR: 0.020000
Training Epoch: 27 [41472/46200]	Loss: 0.2695	LR: 0.020000
Training Epoch: 27 [41728/46200]	Loss: 0.3933	LR: 0.020000
Training Epoch: 27 [41984/46200]	Loss: 0.4441	LR: 0.020000
Training Epoch: 27 [42240/46200]	Loss: 0.4057	LR: 0.020000
Training Epoch: 27 [42496/46200]	Loss: 0.4291	LR: 0.020000
Training Epoch: 27 [42752/46200]	Loss: 0.4089	LR: 0.020000
Training Epoch: 27 [43008/46200]	Loss: 0.3981	LR: 0.020000
Training Epoch: 27 [43264/46200]	Loss: 0.4046	LR: 0.020000
Training Epoch: 27 [43520/46200]	Loss: 0.4130	LR: 0.020000
Training Epoch: 27 [43776/46200]	Loss: 0.4246	LR: 0.020000
Training Epoch: 27 [44032/46200]	Loss: 0.4545	LR: 0.020000
Training Epoch: 27 [44288/46200]	Loss: 0.4935	LR: 0.020000
Training Epoch: 27 [44544/46200]	Loss: 0.2925	LR: 0.020000
Training Epoch: 27 [44800/46200]	Loss: 0.3515	LR: 0.020000
Training Epoch: 27 [45056/46200]	Loss: 0.3901	LR: 0.020000
Training Epoch: 27 [45312/46200]	Loss: 0.4928	LR: 0.020000
Training Epoch: 27 [45568/46200]	Loss: 0.4911	LR: 0.020000
Training Epoch: 27 [45824/46200]	Loss: 0.4919	LR: 0.020000
Training Epoch: 27 [46080/46200]	Loss: 0.3559	LR: 0.020000
Training Epoch: 27 [46200/46200]	Loss: 0.4005	LR: 0.020000
Epoch 27 - Average Train Loss: 0.3681, Train Accuracy: 0.8757
Epoch 27 training time consumed: 27.96s
Evaluating Network.....
Test set: Epoch: 27, Average loss: 0.0032, Accuracy: 0.7694, Time consumed:0.89s
Training Epoch: 28 [256/46200]	Loss: 0.3327	LR: 0.020000
Training Epoch: 28 [512/46200]	Loss: 0.3706	LR: 0.020000
Training Epoch: 28 [768/46200]	Loss: 0.3096	LR: 0.020000
Training Epoch: 28 [1024/46200]	Loss: 0.3611	LR: 0.020000
Training Epoch: 28 [1280/46200]	Loss: 0.2959	LR: 0.020000
Training Epoch: 28 [1536/46200]	Loss: 0.3533	LR: 0.020000
Training Epoch: 28 [1792/46200]	Loss: 0.3609	LR: 0.020000
Training Epoch: 28 [2048/46200]	Loss: 0.4410	LR: 0.020000
Training Epoch: 28 [2304/46200]	Loss: 0.3251	LR: 0.020000
Training Epoch: 28 [2560/46200]	Loss: 0.3490	LR: 0.020000
Training Epoch: 28 [2816/46200]	Loss: 0.3533	LR: 0.020000
Training Epoch: 28 [3072/46200]	Loss: 0.3283	LR: 0.020000
Training Epoch: 28 [3328/46200]	Loss: 0.3476	LR: 0.020000
Training Epoch: 28 [3584/46200]	Loss: 0.3588	LR: 0.020000
Training Epoch: 28 [3840/46200]	Loss: 0.3116	LR: 0.020000
Training Epoch: 28 [4096/46200]	Loss: 0.3708	LR: 0.020000
Training Epoch: 28 [4352/46200]	Loss: 0.3803	LR: 0.020000
Training Epoch: 28 [4608/46200]	Loss: 0.4560	LR: 0.020000
Training Epoch: 28 [4864/46200]	Loss: 0.2828	LR: 0.020000
Training Epoch: 28 [5120/46200]	Loss: 0.3096	LR: 0.020000
Training Epoch: 28 [5376/46200]	Loss: 0.3416	LR: 0.020000
Training Epoch: 28 [5632/46200]	Loss: 0.2867	LR: 0.020000
Training Epoch: 28 [5888/46200]	Loss: 0.3596	LR: 0.020000
Training Epoch: 28 [6144/46200]	Loss: 0.3539	LR: 0.020000
Training Epoch: 28 [6400/46200]	Loss: 0.3319	LR: 0.020000
Training Epoch: 28 [6656/46200]	Loss: 0.2802	LR: 0.020000
Training Epoch: 28 [6912/46200]	Loss: 0.3020	LR: 0.020000
Training Epoch: 28 [7168/46200]	Loss: 0.2947	LR: 0.020000
Training Epoch: 28 [7424/46200]	Loss: 0.2963	LR: 0.020000
Training Epoch: 28 [7680/46200]	Loss: 0.2983	LR: 0.020000
Training Epoch: 28 [7936/46200]	Loss: 0.2920	LR: 0.020000
Training Epoch: 28 [8192/46200]	Loss: 0.3685	LR: 0.020000
Training Epoch: 28 [8448/46200]	Loss: 0.3092	LR: 0.020000
Training Epoch: 28 [8704/46200]	Loss: 0.3401	LR: 0.020000
Training Epoch: 28 [8960/46200]	Loss: 0.2862	LR: 0.020000
Training Epoch: 28 [9216/46200]	Loss: 0.3301	LR: 0.020000
Training Epoch: 28 [9472/46200]	Loss: 0.2665	LR: 0.020000
Training Epoch: 28 [9728/46200]	Loss: 0.3481	LR: 0.020000
Training Epoch: 28 [9984/46200]	Loss: 0.3637	LR: 0.020000
Training Epoch: 28 [10240/46200]	Loss: 0.3462	LR: 0.020000
Training Epoch: 28 [10496/46200]	Loss: 0.3087	LR: 0.020000
Training Epoch: 28 [10752/46200]	Loss: 0.2504	LR: 0.020000
Training Epoch: 28 [11008/46200]	Loss: 0.3200	LR: 0.020000
Training Epoch: 28 [11264/46200]	Loss: 0.2627	LR: 0.020000
Training Epoch: 28 [11520/46200]	Loss: 0.3917	LR: 0.020000
Training Epoch: 28 [11776/46200]	Loss: 0.3508	LR: 0.020000
Training Epoch: 28 [12032/46200]	Loss: 0.3226	LR: 0.020000
Training Epoch: 28 [12288/46200]	Loss: 0.4024	LR: 0.020000
Training Epoch: 28 [12544/46200]	Loss: 0.4151	LR: 0.020000
Training Epoch: 28 [12800/46200]	Loss: 0.3204	LR: 0.020000
Training Epoch: 28 [13056/46200]	Loss: 0.3335	LR: 0.020000
Training Epoch: 28 [13312/46200]	Loss: 0.2863	LR: 0.020000
Training Epoch: 28 [13568/46200]	Loss: 0.3100	LR: 0.020000
Training Epoch: 28 [13824/46200]	Loss: 0.2371	LR: 0.020000
Training Epoch: 28 [14080/46200]	Loss: 0.2731	LR: 0.020000
Training Epoch: 28 [14336/46200]	Loss: 0.2784	LR: 0.020000
Training Epoch: 28 [14592/46200]	Loss: 0.3563	LR: 0.020000
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Training Epoch: 28 [15616/46200]	Loss: 0.3299	LR: 0.020000
Training Epoch: 28 [15872/46200]	Loss: 0.2664	LR: 0.020000
Training Epoch: 28 [16128/46200]	Loss: 0.4092	LR: 0.020000
Training Epoch: 28 [16384/46200]	Loss: 0.3337	LR: 0.020000
Training Epoch: 28 [16640/46200]	Loss: 0.3756	LR: 0.020000
Training Epoch: 28 [16896/46200]	Loss: 0.3353	LR: 0.020000
Training Epoch: 28 [17152/46200]	Loss: 0.3454	LR: 0.020000
Training Epoch: 28 [17408/46200]	Loss: 0.3283	LR: 0.020000
Training Epoch: 28 [17664/46200]	Loss: 0.2893	LR: 0.020000
Training Epoch: 28 [17920/46200]	Loss: 0.3571	LR: 0.020000
Training Epoch: 28 [18176/46200]	Loss: 0.2687	LR: 0.020000
Training Epoch: 28 [18432/46200]	Loss: 0.4026	LR: 0.020000
Training Epoch: 28 [18688/46200]	Loss: 0.3581	LR: 0.020000
Training Epoch: 28 [18944/46200]	Loss: 0.3581	LR: 0.020000
Training Epoch: 28 [19200/46200]	Loss: 0.2494	LR: 0.020000
Training Epoch: 28 [19456/46200]	Loss: 0.3980	LR: 0.020000
Training Epoch: 28 [19712/46200]	Loss: 0.3614	LR: 0.020000
Training Epoch: 28 [19968/46200]	Loss: 0.4323	LR: 0.020000
Training Epoch: 28 [20224/46200]	Loss: 0.3247	LR: 0.020000
Training Epoch: 28 [20480/46200]	Loss: 0.2799	LR: 0.020000
Training Epoch: 28 [20736/46200]	Loss: 0.3814	LR: 0.020000
Training Epoch: 28 [20992/46200]	Loss: 0.3425	LR: 0.020000
Training Epoch: 28 [21248/46200]	Loss: 0.3196	LR: 0.020000
Training Epoch: 28 [21504/46200]	Loss: 0.3423	LR: 0.020000
Training Epoch: 28 [21760/46200]	Loss: 0.4049	LR: 0.020000
Training Epoch: 28 [22016/46200]	Loss: 0.4621	LR: 0.020000
Training Epoch: 28 [22272/46200]	Loss: 0.3358	LR: 0.020000
Training Epoch: 28 [22528/46200]	Loss: 0.3225	LR: 0.020000
Training Epoch: 28 [22784/46200]	Loss: 0.3847	LR: 0.020000
Training Epoch: 28 [23040/46200]	Loss: 0.3415	LR: 0.020000
Training Epoch: 28 [23296/46200]	Loss: 0.3428	LR: 0.020000
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Training Epoch: 28 [24064/46200]	Loss: 0.2974	LR: 0.020000
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Training Epoch: 28 [24832/46200]	Loss: 0.3583	LR: 0.020000
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Training Epoch: 28 [26368/46200]	Loss: 0.4313	LR: 0.020000
Training Epoch: 28 [26624/46200]	Loss: 0.2766	LR: 0.020000
Training Epoch: 28 [26880/46200]	Loss: 0.3410	LR: 0.020000
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Training Epoch: 28 [27904/46200]	Loss: 0.3563	LR: 0.020000
Training Epoch: 28 [28160/46200]	Loss: 0.4242	LR: 0.020000
Training Epoch: 28 [28416/46200]	Loss: 0.3693	LR: 0.020000
Training Epoch: 28 [28672/46200]	Loss: 0.3919	LR: 0.020000
Training Epoch: 28 [28928/46200]	Loss: 0.3239	LR: 0.020000
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Training Epoch: 28 [29440/46200]	Loss: 0.3212	LR: 0.020000
Training Epoch: 28 [29696/46200]	Loss: 0.3461	LR: 0.020000
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Training Epoch: 28 [30720/46200]	Loss: 0.3686	LR: 0.020000
Training Epoch: 28 [30976/46200]	Loss: 0.2984	LR: 0.020000
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Training Epoch: 28 [33024/46200]	Loss: 0.3334	LR: 0.020000
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Training Epoch: 28 [33536/46200]	Loss: 0.4093	LR: 0.020000
Training Epoch: 28 [33792/46200]	Loss: 0.2811	LR: 0.020000
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Training Epoch: 28 [34560/46200]	Loss: 0.3943	LR: 0.020000
Training Epoch: 28 [34816/46200]	Loss: 0.2523	LR: 0.020000
Training Epoch: 28 [35072/46200]	Loss: 0.3451	LR: 0.020000
Training Epoch: 28 [35328/46200]	Loss: 0.4097	LR: 0.020000
Training Epoch: 28 [35584/46200]	Loss: 0.3769	LR: 0.020000
Training Epoch: 28 [35840/46200]	Loss: 0.4212	LR: 0.020000
Training Epoch: 28 [36096/46200]	Loss: 0.2918	LR: 0.020000
Training Epoch: 28 [36352/46200]	Loss: 0.3230	LR: 0.020000
Training Epoch: 28 [36608/46200]	Loss: 0.3060	LR: 0.020000
Training Epoch: 28 [36864/46200]	Loss: 0.3966	LR: 0.020000
Training Epoch: 28 [37120/46200]	Loss: 0.2738	LR: 0.020000
Training Epoch: 28 [37376/46200]	Loss: 0.3227	LR: 0.020000
Training Epoch: 28 [37632/46200]	Loss: 0.3262	LR: 0.020000
Training Epoch: 28 [37888/46200]	Loss: 0.3136	LR: 0.020000
Training Epoch: 28 [38144/46200]	Loss: 0.3931	LR: 0.020000
Training Epoch: 28 [38400/46200]	Loss: 0.3617	LR: 0.020000
Training Epoch: 28 [38656/46200]	Loss: 0.2633	LR: 0.020000
Training Epoch: 28 [38912/46200]	Loss: 0.3518	LR: 0.020000
Training Epoch: 28 [39168/46200]	Loss: 0.3350	LR: 0.020000
Training Epoch: 28 [39424/46200]	Loss: 0.3393	LR: 0.020000
Training Epoch: 28 [39680/46200]	Loss: 0.4478	LR: 0.020000
Training Epoch: 28 [39936/46200]	Loss: 0.3120	LR: 0.020000
Training Epoch: 28 [40192/46200]	Loss: 0.2760	LR: 0.020000
Training Epoch: 28 [40448/46200]	Loss: 0.3294	LR: 0.020000
Training Epoch: 28 [40704/46200]	Loss: 0.3527	LR: 0.020000
Training Epoch: 28 [40960/46200]	Loss: 0.4257	LR: 0.020000
Training Epoch: 28 [41216/46200]	Loss: 0.5008	LR: 0.020000
Training Epoch: 28 [41472/46200]	Loss: 0.3979	LR: 0.020000
Training Epoch: 28 [41728/46200]	Loss: 0.3844	LR: 0.020000
Training Epoch: 28 [41984/46200]	Loss: 0.2869	LR: 0.020000
Training Epoch: 28 [42240/46200]	Loss: 0.4667	LR: 0.020000
Training Epoch: 28 [42496/46200]	Loss: 0.3544	LR: 0.020000
Training Epoch: 28 [42752/46200]	Loss: 0.4214	LR: 0.020000
Training Epoch: 28 [43008/46200]	Loss: 0.4174	LR: 0.020000
Training Epoch: 28 [43264/46200]	Loss: 0.3300	LR: 0.020000
Training Epoch: 28 [43520/46200]	Loss: 0.3940	LR: 0.020000
Training Epoch: 28 [43776/46200]	Loss: 0.5051	LR: 0.020000
Training Epoch: 28 [44032/46200]	Loss: 0.5066	LR: 0.020000
Training Epoch: 28 [44288/46200]	Loss: 0.3633	LR: 0.020000
Training Epoch: 28 [44544/46200]	Loss: 0.4620	LR: 0.020000
Training Epoch: 28 [44800/46200]	Loss: 0.3591	LR: 0.020000
Training Epoch: 28 [45056/46200]	Loss: 0.3601	LR: 0.020000
Training Epoch: 28 [45312/46200]	Loss: 0.4741	LR: 0.020000
Training Epoch: 28 [45568/46200]	Loss: 0.4551	LR: 0.020000
Training Epoch: 28 [45824/46200]	Loss: 0.4668	LR: 0.020000
Training Epoch: 28 [46080/46200]	Loss: 0.3666	LR: 0.020000
Training Epoch: 28 [46200/46200]	Loss: 0.4263	LR: 0.020000
Epoch 28 - Average Train Loss: 0.3502, Train Accuracy: 0.8822
Epoch 28 training time consumed: 28.06s
Evaluating Network.....
Test set: Epoch: 28, Average loss: 0.0035, Accuracy: 0.7588, Time consumed:0.93s
Training Epoch: 29 [256/46200]	Loss: 0.3319	LR: 0.020000
Training Epoch: 29 [512/46200]	Loss: 0.3509	LR: 0.020000
Training Epoch: 29 [768/46200]	Loss: 0.2286	LR: 0.020000
Training Epoch: 29 [1024/46200]	Loss: 0.3358	LR: 0.020000
Training Epoch: 29 [1280/46200]	Loss: 0.3785	LR: 0.020000
Training Epoch: 29 [1536/46200]	Loss: 0.3342	LR: 0.020000
Training Epoch: 29 [1792/46200]	Loss: 0.2914	LR: 0.020000
Training Epoch: 29 [2048/46200]	Loss: 0.2871	LR: 0.020000
Training Epoch: 29 [2304/46200]	Loss: 0.2528	LR: 0.020000
Training Epoch: 29 [2560/46200]	Loss: 0.2940	LR: 0.020000
Training Epoch: 29 [2816/46200]	Loss: 0.3357	LR: 0.020000
Training Epoch: 29 [3072/46200]	Loss: 0.3291	LR: 0.020000
Training Epoch: 29 [3328/46200]	Loss: 0.3750	LR: 0.020000
Training Epoch: 29 [3584/46200]	Loss: 0.2620	LR: 0.020000
Training Epoch: 29 [3840/46200]	Loss: 0.3170	LR: 0.020000
Training Epoch: 29 [4096/46200]	Loss: 0.3290	LR: 0.020000
Training Epoch: 29 [4352/46200]	Loss: 0.3803	LR: 0.020000
Training Epoch: 29 [4608/46200]	Loss: 0.3302	LR: 0.020000
Training Epoch: 29 [4864/46200]	Loss: 0.3505	LR: 0.020000
Training Epoch: 29 [5120/46200]	Loss: 0.3865	LR: 0.020000
Training Epoch: 29 [5376/46200]	Loss: 0.3399	LR: 0.020000
Training Epoch: 29 [5632/46200]	Loss: 0.3529	LR: 0.020000
Training Epoch: 29 [5888/46200]	Loss: 0.4255	LR: 0.020000
Training Epoch: 29 [6144/46200]	Loss: 0.3112	LR: 0.020000
Training Epoch: 29 [6400/46200]	Loss: 0.3285	LR: 0.020000
Training Epoch: 29 [6656/46200]	Loss: 0.2244	LR: 0.020000
Training Epoch: 29 [6912/46200]	Loss: 0.2902	LR: 0.020000
Training Epoch: 29 [7168/46200]	Loss: 0.3035	LR: 0.020000
Training Epoch: 29 [7424/46200]	Loss: 0.2911	LR: 0.020000
Training Epoch: 29 [7680/46200]	Loss: 0.2496	LR: 0.020000
Training Epoch: 29 [7936/46200]	Loss: 0.3070	LR: 0.020000
Training Epoch: 29 [8192/46200]	Loss: 0.3663	LR: 0.020000
Training Epoch: 29 [8448/46200]	Loss: 0.3579	LR: 0.020000
Training Epoch: 29 [8704/46200]	Loss: 0.2955	LR: 0.020000
Training Epoch: 29 [8960/46200]	Loss: 0.3238	LR: 0.020000
Training Epoch: 29 [9216/46200]	Loss: 0.2493	LR: 0.020000
Training Epoch: 29 [9472/46200]	Loss: 0.3751	LR: 0.020000
Training Epoch: 29 [9728/46200]	Loss: 0.2801	LR: 0.020000
Training Epoch: 29 [9984/46200]	Loss: 0.3192	LR: 0.020000
Training Epoch: 29 [10240/46200]	Loss: 0.3646	LR: 0.020000
Training Epoch: 29 [10496/46200]	Loss: 0.3746	LR: 0.020000
Training Epoch: 29 [10752/46200]	Loss: 0.3673	LR: 0.020000
Training Epoch: 29 [11008/46200]	Loss: 0.3795	LR: 0.020000
Training Epoch: 29 [11264/46200]	Loss: 0.3266	LR: 0.020000
Training Epoch: 29 [11520/46200]	Loss: 0.3770	LR: 0.020000
Training Epoch: 29 [11776/46200]	Loss: 0.2930	LR: 0.020000
Training Epoch: 29 [12032/46200]	Loss: 0.2932	LR: 0.020000
Training Epoch: 29 [12288/46200]	Loss: 0.2911	LR: 0.020000
Training Epoch: 29 [12544/46200]	Loss: 0.3327	LR: 0.020000
Training Epoch: 29 [12800/46200]	Loss: 0.3222	LR: 0.020000
Training Epoch: 29 [13056/46200]	Loss: 0.3320	LR: 0.020000
Training Epoch: 29 [13312/46200]	Loss: 0.3429	LR: 0.020000
Training Epoch: 29 [13568/46200]	Loss: 0.3347	LR: 0.020000
Training Epoch: 29 [13824/46200]	Loss: 0.3200	LR: 0.020000
Training Epoch: 29 [14080/46200]	Loss: 0.3172	LR: 0.020000
Training Epoch: 29 [14336/46200]	Loss: 0.2747	LR: 0.020000
Training Epoch: 29 [14592/46200]	Loss: 0.3639	LR: 0.020000
Training Epoch: 29 [14848/46200]	Loss: 0.3500	LR: 0.020000
Training Epoch: 29 [15104/46200]	Loss: 0.3044	LR: 0.020000
Training Epoch: 29 [15360/46200]	Loss: 0.2868	LR: 0.020000
Training Epoch: 29 [15616/46200]	Loss: 0.3393	LR: 0.020000
Training Epoch: 29 [15872/46200]	Loss: 0.3888	LR: 0.020000
Training Epoch: 29 [16128/46200]	Loss: 0.3019	LR: 0.020000
Training Epoch: 29 [16384/46200]	Loss: 0.3238	LR: 0.020000
Training Epoch: 29 [16640/46200]	Loss: 0.3377	LR: 0.020000
Training Epoch: 29 [16896/46200]	Loss: 0.2975	LR: 0.020000
Training Epoch: 29 [17152/46200]	Loss: 0.3774	LR: 0.020000
Training Epoch: 29 [17408/46200]	Loss: 0.4300	LR: 0.020000
Training Epoch: 29 [17664/46200]	Loss: 0.4098	LR: 0.020000
Training Epoch: 29 [17920/46200]	Loss: 0.3463	LR: 0.020000
Training Epoch: 29 [18176/46200]	Loss: 0.2909	LR: 0.020000
Training Epoch: 29 [18432/46200]	Loss: 0.3688	LR: 0.020000
Training Epoch: 29 [18688/46200]	Loss: 0.2643	LR: 0.020000
Training Epoch: 29 [18944/46200]	Loss: 0.2852	LR: 0.020000
Training Epoch: 29 [19200/46200]	Loss: 0.4148	LR: 0.020000
Training Epoch: 29 [19456/46200]	Loss: 0.3002	LR: 0.020000
Training Epoch: 29 [19712/46200]	Loss: 0.3559	LR: 0.020000
Training Epoch: 29 [19968/46200]	Loss: 0.3335	LR: 0.020000
Training Epoch: 29 [20224/46200]	Loss: 0.3106	LR: 0.020000
Training Epoch: 29 [20480/46200]	Loss: 0.3826	LR: 0.020000
Training Epoch: 29 [20736/46200]	Loss: 0.3092	LR: 0.020000
Training Epoch: 29 [20992/46200]	Loss: 0.3746	LR: 0.020000
Training Epoch: 29 [21248/46200]	Loss: 0.3392	LR: 0.020000
Training Epoch: 29 [21504/46200]	Loss: 0.3866	LR: 0.020000
Training Epoch: 29 [21760/46200]	Loss: 0.3604	LR: 0.020000
Training Epoch: 29 [22016/46200]	Loss: 0.2706	LR: 0.020000
Training Epoch: 29 [22272/46200]	Loss: 0.4042	LR: 0.020000
Training Epoch: 29 [22528/46200]	Loss: 0.3109	LR: 0.020000
Training Epoch: 29 [22784/46200]	Loss: 0.2910	LR: 0.020000
Training Epoch: 29 [23040/46200]	Loss: 0.3780	LR: 0.020000
Training Epoch: 29 [23296/46200]	Loss: 0.2748	LR: 0.020000
Training Epoch: 29 [23552/46200]	Loss: 0.3045	LR: 0.020000
Training Epoch: 29 [23808/46200]	Loss: 0.3287	LR: 0.020000
Training Epoch: 29 [24064/46200]	Loss: 0.2517	LR: 0.020000
Training Epoch: 29 [24320/46200]	Loss: 0.3125	LR: 0.020000
Training Epoch: 29 [24576/46200]	Loss: 0.3860	LR: 0.020000
Training Epoch: 29 [24832/46200]	Loss: 0.2376	LR: 0.020000
Training Epoch: 29 [25088/46200]	Loss: 0.3000	LR: 0.020000
Training Epoch: 29 [25344/46200]	Loss: 0.2746	LR: 0.020000
Training Epoch: 29 [25600/46200]	Loss: 0.3390	LR: 0.020000
Training Epoch: 29 [25856/46200]	Loss: 0.3211	LR: 0.020000
Training Epoch: 29 [26112/46200]	Loss: 0.4824	LR: 0.020000
Training Epoch: 29 [26368/46200]	Loss: 0.4055	LR: 0.020000
Training Epoch: 29 [26624/46200]	Loss: 0.2797	LR: 0.020000
Training Epoch: 29 [26880/46200]	Loss: 0.2803	LR: 0.020000
Training Epoch: 29 [27136/46200]	Loss: 0.3565	LR: 0.020000
Training Epoch: 29 [27392/46200]	Loss: 0.3476	LR: 0.020000
Training Epoch: 29 [27648/46200]	Loss: 0.4306	LR: 0.020000
Training Epoch: 29 [27904/46200]	Loss: 0.3816	LR: 0.020000
Training Epoch: 29 [28160/46200]	Loss: 0.2898	LR: 0.020000
Training Epoch: 29 [28416/46200]	Loss: 0.2651	LR: 0.020000
Training Epoch: 29 [28672/46200]	Loss: 0.3025	LR: 0.020000
Training Epoch: 29 [28928/46200]	Loss: 0.3219	LR: 0.020000
Training Epoch: 29 [29184/46200]	Loss: 0.3456	LR: 0.020000
Training Epoch: 29 [29440/46200]	Loss: 0.3019	LR: 0.020000
Training Epoch: 29 [29696/46200]	Loss: 0.2476	LR: 0.020000
Training Epoch: 29 [29952/46200]	Loss: 0.2999	LR: 0.020000
Training Epoch: 29 [30208/46200]	Loss: 0.3241	LR: 0.020000
Training Epoch: 29 [30464/46200]	Loss: 0.3289	LR: 0.020000
Training Epoch: 29 [30720/46200]	Loss: 0.4100	LR: 0.020000
Training Epoch: 29 [30976/46200]	Loss: 0.3764	LR: 0.020000
Training Epoch: 29 [31232/46200]	Loss: 0.4139	LR: 0.020000
Training Epoch: 29 [31488/46200]	Loss: 0.4164	LR: 0.020000
Training Epoch: 29 [31744/46200]	Loss: 0.3721	LR: 0.020000
Training Epoch: 29 [32000/46200]	Loss: 0.4005	LR: 0.020000
Training Epoch: 29 [32256/46200]	Loss: 0.3103	LR: 0.020000
Training Epoch: 29 [32512/46200]	Loss: 0.2505	LR: 0.020000
Training Epoch: 29 [32768/46200]	Loss: 0.4188	LR: 0.020000
Training Epoch: 29 [33024/46200]	Loss: 0.4735	LR: 0.020000
Training Epoch: 29 [33280/46200]	Loss: 0.4018	LR: 0.020000
Training Epoch: 29 [33536/46200]	Loss: 0.3222	LR: 0.020000
Training Epoch: 29 [33792/46200]	Loss: 0.3353	LR: 0.020000
Training Epoch: 29 [34048/46200]	Loss: 0.2466	LR: 0.020000
Training Epoch: 29 [34304/46200]	Loss: 0.3499	LR: 0.020000
Training Epoch: 29 [34560/46200]	Loss: 0.3976	LR: 0.020000
Training Epoch: 29 [34816/46200]	Loss: 0.3504	LR: 0.020000
Training Epoch: 29 [35072/46200]	Loss: 0.2511	LR: 0.020000
Training Epoch: 29 [35328/46200]	Loss: 0.3690	LR: 0.020000
Training Epoch: 29 [35584/46200]	Loss: 0.3997	LR: 0.020000
Training Epoch: 29 [35840/46200]	Loss: 0.2825	LR: 0.020000
Training Epoch: 29 [36096/46200]	Loss: 0.3916	LR: 0.020000
Training Epoch: 29 [36352/46200]	Loss: 0.3105	LR: 0.020000
Training Epoch: 29 [36608/46200]	Loss: 0.3572	LR: 0.020000
Training Epoch: 29 [36864/46200]	Loss: 0.4409	LR: 0.020000
Training Epoch: 29 [37120/46200]	Loss: 0.4060	LR: 0.020000
Training Epoch: 29 [37376/46200]	Loss: 0.4190	LR: 0.020000
Training Epoch: 29 [37632/46200]	Loss: 0.3287	LR: 0.020000
Training Epoch: 29 [37888/46200]	Loss: 0.4070	LR: 0.020000
Training Epoch: 29 [38144/46200]	Loss: 0.3317	LR: 0.020000
Training Epoch: 29 [38400/46200]	Loss: 0.3724	LR: 0.020000
Training Epoch: 29 [38656/46200]	Loss: 0.3187	LR: 0.020000
Training Epoch: 29 [38912/46200]	Loss: 0.3418	LR: 0.020000
Training Epoch: 29 [39168/46200]	Loss: 0.4307	LR: 0.020000
Training Epoch: 29 [39424/46200]	Loss: 0.3408	LR: 0.020000
Training Epoch: 29 [39680/46200]	Loss: 0.3818	LR: 0.020000
Training Epoch: 29 [39936/46200]	Loss: 0.3783	LR: 0.020000
Training Epoch: 29 [40192/46200]	Loss: 0.4323	LR: 0.020000
Training Epoch: 29 [40448/46200]	Loss: 0.3653	LR: 0.020000
Training Epoch: 29 [40704/46200]	Loss: 0.3928	LR: 0.020000
Training Epoch: 29 [40960/46200]	Loss: 0.2703	LR: 0.020000
Training Epoch: 29 [41216/46200]	Loss: 0.4018	LR: 0.020000
Training Epoch: 29 [41472/46200]	Loss: 0.3749	LR: 0.020000
Training Epoch: 29 [41728/46200]	Loss: 0.2640	LR: 0.020000
Training Epoch: 29 [41984/46200]	Loss: 0.4174	LR: 0.020000
Training Epoch: 29 [42240/46200]	Loss: 0.2827	LR: 0.020000
Training Epoch: 29 [42496/46200]	Loss: 0.2773	LR: 0.020000
Training Epoch: 29 [42752/46200]	Loss: 0.3021	LR: 0.020000
Training Epoch: 29 [43008/46200]	Loss: 0.3756	LR: 0.020000
Training Epoch: 29 [43264/46200]	Loss: 0.4679	LR: 0.020000
Training Epoch: 29 [43520/46200]	Loss: 0.3999	LR: 0.020000
Training Epoch: 29 [43776/46200]	Loss: 0.4187	LR: 0.020000
Training Epoch: 29 [44032/46200]	Loss: 0.4785	LR: 0.020000
Training Epoch: 29 [44288/46200]	Loss: 0.3782	LR: 0.020000
Training Epoch: 29 [44544/46200]	Loss: 0.3309	LR: 0.020000
Training Epoch: 29 [44800/46200]	Loss: 0.2762	LR: 0.020000
Training Epoch: 29 [45056/46200]	Loss: 0.3313	LR: 0.020000
Training Epoch: 29 [45312/46200]	Loss: 0.4453	LR: 0.020000
Training Epoch: 29 [45568/46200]	Loss: 0.3281	LR: 0.020000
Training Epoch: 29 [45824/46200]	Loss: 0.2811	LR: 0.020000
Training Epoch: 29 [46080/46200]	Loss: 0.3593	LR: 0.020000
Training Epoch: 29 [46200/46200]	Loss: 0.3396	LR: 0.020000
Epoch 29 - Average Train Loss: 0.3399, Train Accuracy: 0.8856
Epoch 29 training time consumed: 27.89s
Evaluating Network.....
Test set: Epoch: 29, Average loss: 0.0035, Accuracy: 0.7565, Time consumed:0.91s
Training Epoch: 30 [256/46200]	Loss: 0.4273	LR: 0.004000
Training Epoch: 30 [512/46200]	Loss: 0.3525	LR: 0.004000
Training Epoch: 30 [768/46200]	Loss: 0.3070	LR: 0.004000
Training Epoch: 30 [1024/46200]	Loss: 0.2564	LR: 0.004000
Training Epoch: 30 [1280/46200]	Loss: 0.3408	LR: 0.004000
Training Epoch: 30 [1536/46200]	Loss: 0.3740	LR: 0.004000
Training Epoch: 30 [1792/46200]	Loss: 0.2417	LR: 0.004000
Training Epoch: 30 [2048/46200]	Loss: 0.3165	LR: 0.004000
Training Epoch: 30 [2304/46200]	Loss: 0.3637	LR: 0.004000
Training Epoch: 30 [2560/46200]	Loss: 0.3223	LR: 0.004000
Training Epoch: 30 [2816/46200]	Loss: 0.3193	LR: 0.004000
Training Epoch: 30 [3072/46200]	Loss: 0.3386	LR: 0.004000
Training Epoch: 30 [3328/46200]	Loss: 0.3045	LR: 0.004000
Training Epoch: 30 [3584/46200]	Loss: 0.2201	LR: 0.004000
Training Epoch: 30 [3840/46200]	Loss: 0.1952	LR: 0.004000
Training Epoch: 30 [4096/46200]	Loss: 0.2277	LR: 0.004000
Training Epoch: 30 [4352/46200]	Loss: 0.2429	LR: 0.004000
Training Epoch: 30 [4608/46200]	Loss: 0.3044	LR: 0.004000
Training Epoch: 30 [4864/46200]	Loss: 0.2256	LR: 0.004000
Training Epoch: 30 [5120/46200]	Loss: 0.2397	LR: 0.004000
Training Epoch: 30 [5376/46200]	Loss: 0.2388	LR: 0.004000
Training Epoch: 30 [5632/46200]	Loss: 0.2483	LR: 0.004000
Training Epoch: 30 [5888/46200]	Loss: 0.2681	LR: 0.004000
Training Epoch: 30 [6144/46200]	Loss: 0.2627	LR: 0.004000
Training Epoch: 30 [6400/46200]	Loss: 0.2568	LR: 0.004000
Training Epoch: 30 [6656/46200]	Loss: 0.2714	LR: 0.004000
Training Epoch: 30 [6912/46200]	Loss: 0.2312	LR: 0.004000
Training Epoch: 30 [7168/46200]	Loss: 0.1895	LR: 0.004000
Training Epoch: 30 [7424/46200]	Loss: 0.2873	LR: 0.004000
Training Epoch: 30 [7680/46200]	Loss: 0.2487	LR: 0.004000
Training Epoch: 30 [7936/46200]	Loss: 0.2710	LR: 0.004000
Training Epoch: 30 [8192/46200]	Loss: 0.2191	LR: 0.004000
Training Epoch: 30 [8448/46200]	Loss: 0.2930	LR: 0.004000
Training Epoch: 30 [8704/46200]	Loss: 0.2315	LR: 0.004000
Training Epoch: 30 [8960/46200]	Loss: 0.2653	LR: 0.004000
Training Epoch: 30 [9216/46200]	Loss: 0.2484	LR: 0.004000
Training Epoch: 30 [9472/46200]	Loss: 0.2317	LR: 0.004000
Training Epoch: 30 [9728/46200]	Loss: 0.2456	LR: 0.004000
Training Epoch: 30 [9984/46200]	Loss: 0.2355	LR: 0.004000
Training Epoch: 30 [10240/46200]	Loss: 0.2796	LR: 0.004000
Training Epoch: 30 [10496/46200]	Loss: 0.2357	LR: 0.004000
Training Epoch: 30 [10752/46200]	Loss: 0.2410	LR: 0.004000
Training Epoch: 30 [11008/46200]	Loss: 0.2373	LR: 0.004000
Training Epoch: 30 [11264/46200]	Loss: 0.2568	LR: 0.004000
Training Epoch: 30 [11520/46200]	Loss: 0.2254	LR: 0.004000
Training Epoch: 30 [11776/46200]	Loss: 0.2763	LR: 0.004000
Training Epoch: 30 [12032/46200]	Loss: 0.2604	LR: 0.004000
Training Epoch: 30 [12288/46200]	Loss: 0.2215	LR: 0.004000
Training Epoch: 30 [12544/46200]	Loss: 0.2406	LR: 0.004000
Training Epoch: 30 [12800/46200]	Loss: 0.2210	LR: 0.004000
Training Epoch: 30 [13056/46200]	Loss: 0.2752	LR: 0.004000
Training Epoch: 30 [13312/46200]	Loss: 0.2298	LR: 0.004000
Training Epoch: 30 [13568/46200]	Loss: 0.1918	LR: 0.004000
Training Epoch: 30 [13824/46200]	Loss: 0.1765	LR: 0.004000
Training Epoch: 30 [14080/46200]	Loss: 0.1963	LR: 0.004000
Training Epoch: 30 [14336/46200]	Loss: 0.2422	LR: 0.004000
Training Epoch: 30 [14592/46200]	Loss: 0.2038	LR: 0.004000
Training Epoch: 30 [14848/46200]	Loss: 0.2995	LR: 0.004000
Training Epoch: 30 [15104/46200]	Loss: 0.2563	LR: 0.004000
Training Epoch: 30 [15360/46200]	Loss: 0.2420	LR: 0.004000
Training Epoch: 30 [15616/46200]	Loss: 0.3028	LR: 0.004000
Training Epoch: 30 [15872/46200]	Loss: 0.2779	LR: 0.004000
Training Epoch: 30 [16128/46200]	Loss: 0.2296	LR: 0.004000
Training Epoch: 30 [16384/46200]	Loss: 0.2057	LR: 0.004000
Training Epoch: 30 [16640/46200]	Loss: 0.2277	LR: 0.004000
Training Epoch: 30 [16896/46200]	Loss: 0.1981	LR: 0.004000
Training Epoch: 30 [17152/46200]	Loss: 0.2909	LR: 0.004000
Training Epoch: 30 [17408/46200]	Loss: 0.2176	LR: 0.004000
Training Epoch: 30 [17664/46200]	Loss: 0.2017	LR: 0.004000
Training Epoch: 30 [17920/46200]	Loss: 0.2345	LR: 0.004000
Training Epoch: 30 [18176/46200]	Loss: 0.2440	LR: 0.004000
Training Epoch: 30 [18432/46200]	Loss: 0.2912	LR: 0.004000
Training Epoch: 30 [18688/46200]	Loss: 0.2308	LR: 0.004000
Training Epoch: 30 [18944/46200]	Loss: 0.2288	LR: 0.004000
Training Epoch: 30 [19200/46200]	Loss: 0.1951	LR: 0.004000
Training Epoch: 30 [19456/46200]	Loss: 0.2170	LR: 0.004000
Training Epoch: 30 [19712/46200]	Loss: 0.1642	LR: 0.004000
Training Epoch: 30 [19968/46200]	Loss: 0.2261	LR: 0.004000
Training Epoch: 30 [20224/46200]	Loss: 0.1752	LR: 0.004000
Training Epoch: 30 [20480/46200]	Loss: 0.2499	LR: 0.004000
Training Epoch: 30 [20736/46200]	Loss: 0.1876	LR: 0.004000
Training Epoch: 30 [20992/46200]	Loss: 0.1708	LR: 0.004000
Training Epoch: 30 [21248/46200]	Loss: 0.2343	LR: 0.004000
Training Epoch: 30 [21504/46200]	Loss: 0.2289	LR: 0.004000
Training Epoch: 30 [21760/46200]	Loss: 0.2238	LR: 0.004000
Training Epoch: 30 [22016/46200]	Loss: 0.2618	LR: 0.004000
Training Epoch: 30 [22272/46200]	Loss: 0.2217	LR: 0.004000
Training Epoch: 30 [22528/46200]	Loss: 0.2398	LR: 0.004000
Training Epoch: 30 [22784/46200]	Loss: 0.2722	LR: 0.004000
Training Epoch: 30 [23040/46200]	Loss: 0.2294	LR: 0.004000
Training Epoch: 30 [23296/46200]	Loss: 0.1964	LR: 0.004000
Training Epoch: 30 [23552/46200]	Loss: 0.2237	LR: 0.004000
Training Epoch: 30 [23808/46200]	Loss: 0.2183	LR: 0.004000
Training Epoch: 30 [24064/46200]	Loss: 0.2080	LR: 0.004000
Training Epoch: 30 [24320/46200]	Loss: 0.2392	LR: 0.004000
Training Epoch: 30 [24576/46200]	Loss: 0.2263	LR: 0.004000
Training Epoch: 30 [24832/46200]	Loss: 0.1611	LR: 0.004000
Training Epoch: 30 [25088/46200]	Loss: 0.2347	LR: 0.004000
Training Epoch: 30 [25344/46200]	Loss: 0.1939	LR: 0.004000
Training Epoch: 30 [25600/46200]	Loss: 0.2826	LR: 0.004000
Training Epoch: 30 [25856/46200]	Loss: 0.2786	LR: 0.004000
Training Epoch: 30 [26112/46200]	Loss: 0.1850	LR: 0.004000
Training Epoch: 30 [26368/46200]	Loss: 0.1778	LR: 0.004000
Training Epoch: 30 [26624/46200]	Loss: 0.1966	LR: 0.004000
Training Epoch: 30 [26880/46200]	Loss: 0.2238	LR: 0.004000
Training Epoch: 30 [27136/46200]	Loss: 0.2416	LR: 0.004000
Training Epoch: 30 [27392/46200]	Loss: 0.1984	LR: 0.004000
Training Epoch: 30 [27648/46200]	Loss: 0.2415	LR: 0.004000
Training Epoch: 30 [27904/46200]	Loss: 0.1689	LR: 0.004000
Training Epoch: 30 [28160/46200]	Loss: 0.2346	LR: 0.004000
Training Epoch: 30 [28416/46200]	Loss: 0.2211	LR: 0.004000
Training Epoch: 30 [28672/46200]	Loss: 0.2455	LR: 0.004000
Training Epoch: 30 [28928/46200]	Loss: 0.1692	LR: 0.004000
Training Epoch: 30 [29184/46200]	Loss: 0.2518	LR: 0.004000
Training Epoch: 30 [29440/46200]	Loss: 0.1982	LR: 0.004000
Training Epoch: 30 [29696/46200]	Loss: 0.3317	LR: 0.004000
Training Epoch: 30 [29952/46200]	Loss: 0.1950	LR: 0.004000
Training Epoch: 30 [30208/46200]	Loss: 0.1340	LR: 0.004000
Training Epoch: 30 [30464/46200]	Loss: 0.2019	LR: 0.004000
Training Epoch: 30 [30720/46200]	Loss: 0.2382	LR: 0.004000
Training Epoch: 30 [30976/46200]	Loss: 0.1651	LR: 0.004000
Training Epoch: 30 [31232/46200]	Loss: 0.2402	LR: 0.004000
Training Epoch: 30 [31488/46200]	Loss: 0.2027	LR: 0.004000
Training Epoch: 30 [31744/46200]	Loss: 0.1796	LR: 0.004000
Training Epoch: 30 [32000/46200]	Loss: 0.1779	LR: 0.004000
Training Epoch: 30 [32256/46200]	Loss: 0.1854	LR: 0.004000
Training Epoch: 30 [32512/46200]	Loss: 0.2517	LR: 0.004000
Training Epoch: 30 [32768/46200]	Loss: 0.2170	LR: 0.004000
Training Epoch: 30 [33024/46200]	Loss: 0.1650	LR: 0.004000
Training Epoch: 30 [33280/46200]	Loss: 0.1534	LR: 0.004000
Training Epoch: 30 [33536/46200]	Loss: 0.2518	LR: 0.004000
Training Epoch: 30 [33792/46200]	Loss: 0.2553	LR: 0.004000
Training Epoch: 30 [34048/46200]	Loss: 0.2455	LR: 0.004000
Training Epoch: 30 [34304/46200]	Loss: 0.2071	LR: 0.004000
Training Epoch: 30 [34560/46200]	Loss: 0.1935	LR: 0.004000
Training Epoch: 30 [34816/46200]	Loss: 0.1887	LR: 0.004000
Training Epoch: 30 [35072/46200]	Loss: 0.1861	LR: 0.004000
Training Epoch: 30 [35328/46200]	Loss: 0.2200	LR: 0.004000
Training Epoch: 30 [35584/46200]	Loss: 0.2325	LR: 0.004000
Training Epoch: 30 [35840/46200]	Loss: 0.2400	LR: 0.004000
Training Epoch: 30 [36096/46200]	Loss: 0.2184	LR: 0.004000
Training Epoch: 30 [36352/46200]	Loss: 0.2007	LR: 0.004000
Training Epoch: 30 [36608/46200]	Loss: 0.1799	LR: 0.004000
Training Epoch: 30 [36864/46200]	Loss: 0.2266	LR: 0.004000
Training Epoch: 30 [37120/46200]	Loss: 0.2862	LR: 0.004000
Training Epoch: 30 [37376/46200]	Loss: 0.2223	LR: 0.004000
Training Epoch: 30 [37632/46200]	Loss: 0.2279	LR: 0.004000
Training Epoch: 30 [37888/46200]	Loss: 0.1456	LR: 0.004000
Training Epoch: 30 [38144/46200]	Loss: 0.1881	LR: 0.004000
Training Epoch: 30 [38400/46200]	Loss: 0.2065	LR: 0.004000
Training Epoch: 30 [38656/46200]	Loss: 0.2338	LR: 0.004000
Training Epoch: 30 [38912/46200]	Loss: 0.2653	LR: 0.004000
Training Epoch: 30 [39168/46200]	Loss: 0.1777	LR: 0.004000
Training Epoch: 30 [39424/46200]	Loss: 0.1854	LR: 0.004000
Training Epoch: 30 [39680/46200]	Loss: 0.1729	LR: 0.004000
Training Epoch: 30 [39936/46200]	Loss: 0.2007	LR: 0.004000
Training Epoch: 30 [40192/46200]	Loss: 0.2107	LR: 0.004000
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Training Epoch: 30 [43008/46200]	Loss: 0.1809	LR: 0.004000
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Training Epoch: 30 [43776/46200]	Loss: 0.2139	LR: 0.004000
Training Epoch: 30 [44032/46200]	Loss: 0.2245	LR: 0.004000
Training Epoch: 30 [44288/46200]	Loss: 0.1697	LR: 0.004000
Training Epoch: 30 [44544/46200]	Loss: 0.2085	LR: 0.004000
Training Epoch: 30 [44800/46200]	Loss: 0.1711	LR: 0.004000
Training Epoch: 30 [45056/46200]	Loss: 0.2106	LR: 0.004000
Training Epoch: 30 [45312/46200]	Loss: 0.2053	LR: 0.004000
Training Epoch: 30 [45568/46200]	Loss: 0.1961	LR: 0.004000
Training Epoch: 30 [45824/46200]	Loss: 0.3050	LR: 0.004000
Training Epoch: 30 [46080/46200]	Loss: 0.1643	LR: 0.004000
Training Epoch: 30 [46200/46200]	Loss: 0.1715	LR: 0.004000
Epoch 30 - Average Train Loss: 0.2312, Train Accuracy: 0.9253
Epoch 30 training time consumed: 27.89s
Evaluating Network.....
Test set: Epoch: 30, Average loss: 0.0027, Accuracy: 0.8023, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_03h_31m_17s/ResNet18-Cifar20-seed7-ret25-30-best.pth
Training Epoch: 31 [256/46200]	Loss: 0.1691	LR: 0.004000
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Training Epoch: 31 [44288/46200]	Loss: 0.1804	LR: 0.004000
Training Epoch: 31 [44544/46200]	Loss: 0.1625	LR: 0.004000
Training Epoch: 31 [44800/46200]	Loss: 0.1771	LR: 0.004000
Training Epoch: 31 [45056/46200]	Loss: 0.1474	LR: 0.004000
Training Epoch: 31 [45312/46200]	Loss: 0.1645	LR: 0.004000
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Training Epoch: 31 [46080/46200]	Loss: 0.1729	LR: 0.004000
Training Epoch: 31 [46200/46200]	Loss: 0.2264	LR: 0.004000
Epoch 31 - Average Train Loss: 0.1797, Train Accuracy: 0.9461
Epoch 31 training time consumed: 27.83s
Evaluating Network.....
Test set: Epoch: 31, Average loss: 0.0027, Accuracy: 0.8050, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_03h_31m_17s/ResNet18-Cifar20-seed7-ret25-31-best.pth
Training Epoch: 32 [256/46200]	Loss: 0.1285	LR: 0.004000
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Training Epoch: 32 [1024/46200]	Loss: 0.2243	LR: 0.004000
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Training Epoch: 32 [42240/46200]	Loss: 0.1661	LR: 0.004000
Training Epoch: 32 [42496/46200]	Loss: 0.1688	LR: 0.004000
Training Epoch: 32 [42752/46200]	Loss: 0.1619	LR: 0.004000
Training Epoch: 32 [43008/46200]	Loss: 0.1721	LR: 0.004000
Training Epoch: 32 [43264/46200]	Loss: 0.1912	LR: 0.004000
Training Epoch: 32 [43520/46200]	Loss: 0.1829	LR: 0.004000
Training Epoch: 32 [43776/46200]	Loss: 0.1322	LR: 0.004000
Training Epoch: 32 [44032/46200]	Loss: 0.1546	LR: 0.004000
Training Epoch: 32 [44288/46200]	Loss: 0.1398	LR: 0.004000
Training Epoch: 32 [44544/46200]	Loss: 0.1658	LR: 0.004000
Training Epoch: 32 [44800/46200]	Loss: 0.2230	LR: 0.004000
Training Epoch: 32 [45056/46200]	Loss: 0.2087	LR: 0.004000
Training Epoch: 32 [45312/46200]	Loss: 0.1489	LR: 0.004000
Training Epoch: 32 [45568/46200]	Loss: 0.2469	LR: 0.004000
Training Epoch: 32 [45824/46200]	Loss: 0.2031	LR: 0.004000
Training Epoch: 32 [46080/46200]	Loss: 0.1409	LR: 0.004000
Training Epoch: 32 [46200/46200]	Loss: 0.1649	LR: 0.004000
Epoch 32 - Average Train Loss: 0.1670, Train Accuracy: 0.9491
Epoch 32 training time consumed: 28.09s
Evaluating Network.....
Test set: Epoch: 32, Average loss: 0.0028, Accuracy: 0.8085, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_03h_31m_17s/ResNet18-Cifar20-seed7-ret25-32-best.pth
Training Epoch: 33 [256/46200]	Loss: 0.1357	LR: 0.004000
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Training Epoch: 33 [42496/46200]	Loss: 0.1288	LR: 0.004000
Training Epoch: 33 [42752/46200]	Loss: 0.1146	LR: 0.004000
Training Epoch: 33 [43008/46200]	Loss: 0.1660	LR: 0.004000
Training Epoch: 33 [43264/46200]	Loss: 0.1492	LR: 0.004000
Training Epoch: 33 [43520/46200]	Loss: 0.1146	LR: 0.004000
Training Epoch: 33 [43776/46200]	Loss: 0.1487	LR: 0.004000
Training Epoch: 33 [44032/46200]	Loss: 0.1424	LR: 0.004000
Training Epoch: 33 [44288/46200]	Loss: 0.1655	LR: 0.004000
Training Epoch: 33 [44544/46200]	Loss: 0.1145	LR: 0.004000
Training Epoch: 33 [44800/46200]	Loss: 0.1253	LR: 0.004000
Training Epoch: 33 [45056/46200]	Loss: 0.1539	LR: 0.004000
Training Epoch: 33 [45312/46200]	Loss: 0.1546	LR: 0.004000
Training Epoch: 33 [45568/46200]	Loss: 0.2139	LR: 0.004000
Training Epoch: 33 [45824/46200]	Loss: 0.1106	LR: 0.004000
Training Epoch: 33 [46080/46200]	Loss: 0.1755	LR: 0.004000
Training Epoch: 33 [46200/46200]	Loss: 0.1624	LR: 0.004000
Epoch 33 - Average Train Loss: 0.1550, Train Accuracy: 0.9534
Epoch 33 training time consumed: 27.90s
Evaluating Network.....
Test set: Epoch: 33, Average loss: 0.0028, Accuracy: 0.8061, Time consumed:0.99s
Training Epoch: 34 [256/46200]	Loss: 0.1073	LR: 0.004000
Training Epoch: 34 [512/46200]	Loss: 0.1094	LR: 0.004000
Training Epoch: 34 [768/46200]	Loss: 0.1278	LR: 0.004000
Training Epoch: 34 [1024/46200]	Loss: 0.1667	LR: 0.004000
Training Epoch: 34 [1280/46200]	Loss: 0.1761	LR: 0.004000
Training Epoch: 34 [1536/46200]	Loss: 0.1424	LR: 0.004000
Training Epoch: 34 [1792/46200]	Loss: 0.1062	LR: 0.004000
Training Epoch: 34 [2048/46200]	Loss: 0.1002	LR: 0.004000
Training Epoch: 34 [2304/46200]	Loss: 0.1068	LR: 0.004000
Training Epoch: 34 [2560/46200]	Loss: 0.1864	LR: 0.004000
Training Epoch: 34 [2816/46200]	Loss: 0.1291	LR: 0.004000
Training Epoch: 34 [3072/46200]	Loss: 0.0771	LR: 0.004000
Training Epoch: 34 [3328/46200]	Loss: 0.1083	LR: 0.004000
Training Epoch: 34 [3584/46200]	Loss: 0.1374	LR: 0.004000
Training Epoch: 34 [3840/46200]	Loss: 0.1613	LR: 0.004000
Training Epoch: 34 [4096/46200]	Loss: 0.1493	LR: 0.004000
Training Epoch: 34 [4352/46200]	Loss: 0.2204	LR: 0.004000
Training Epoch: 34 [4608/46200]	Loss: 0.1521	LR: 0.004000
Training Epoch: 34 [4864/46200]	Loss: 0.1512	LR: 0.004000
Training Epoch: 34 [5120/46200]	Loss: 0.1113	LR: 0.004000
Training Epoch: 34 [5376/46200]	Loss: 0.1409	LR: 0.004000
Training Epoch: 34 [5632/46200]	Loss: 0.1095	LR: 0.004000
Training Epoch: 34 [5888/46200]	Loss: 0.1404	LR: 0.004000
Training Epoch: 34 [6144/46200]	Loss: 0.1183	LR: 0.004000
Training Epoch: 34 [6400/46200]	Loss: 0.1109	LR: 0.004000
Training Epoch: 34 [6656/46200]	Loss: 0.1461	LR: 0.004000
Training Epoch: 34 [6912/46200]	Loss: 0.1953	LR: 0.004000
Training Epoch: 34 [7168/46200]	Loss: 0.1017	LR: 0.004000
Training Epoch: 34 [7424/46200]	Loss: 0.1300	LR: 0.004000
Training Epoch: 34 [7680/46200]	Loss: 0.0977	LR: 0.004000
Training Epoch: 34 [7936/46200]	Loss: 0.1145	LR: 0.004000
Training Epoch: 34 [8192/46200]	Loss: 0.1283	LR: 0.004000
Training Epoch: 34 [8448/46200]	Loss: 0.1029	LR: 0.004000
Training Epoch: 34 [8704/46200]	Loss: 0.1718	LR: 0.004000
Training Epoch: 34 [8960/46200]	Loss: 0.1340	LR: 0.004000
Training Epoch: 34 [9216/46200]	Loss: 0.1477	LR: 0.004000
Training Epoch: 34 [9472/46200]	Loss: 0.1529	LR: 0.004000
Training Epoch: 34 [9728/46200]	Loss: 0.1239	LR: 0.004000
Training Epoch: 34 [9984/46200]	Loss: 0.1697	LR: 0.004000
Training Epoch: 34 [10240/46200]	Loss: 0.1055	LR: 0.004000
Training Epoch: 34 [10496/46200]	Loss: 0.1962	LR: 0.004000
Training Epoch: 34 [10752/46200]	Loss: 0.1502	LR: 0.004000
Training Epoch: 34 [11008/46200]	Loss: 0.1369	LR: 0.004000
Training Epoch: 34 [11264/46200]	Loss: 0.1528	LR: 0.004000
Training Epoch: 34 [11520/46200]	Loss: 0.1689	LR: 0.004000
Training Epoch: 34 [11776/46200]	Loss: 0.1293	LR: 0.004000
Training Epoch: 34 [12032/46200]	Loss: 0.1063	LR: 0.004000
Training Epoch: 34 [12288/46200]	Loss: 0.1203	LR: 0.004000
Training Epoch: 34 [12544/46200]	Loss: 0.1553	LR: 0.004000
Training Epoch: 34 [12800/46200]	Loss: 0.1900	LR: 0.004000
Training Epoch: 34 [13056/46200]	Loss: 0.1306	LR: 0.004000
Training Epoch: 34 [13312/46200]	Loss: 0.1689	LR: 0.004000
Training Epoch: 34 [13568/46200]	Loss: 0.1500	LR: 0.004000
Training Epoch: 34 [13824/46200]	Loss: 0.1054	LR: 0.004000
Training Epoch: 34 [14080/46200]	Loss: 0.0991	LR: 0.004000
Training Epoch: 34 [14336/46200]	Loss: 0.1311	LR: 0.004000
Training Epoch: 34 [14592/46200]	Loss: 0.0991	LR: 0.004000
Training Epoch: 34 [14848/46200]	Loss: 0.1469	LR: 0.004000
Training Epoch: 34 [15104/46200]	Loss: 0.1550	LR: 0.004000
Training Epoch: 34 [15360/46200]	Loss: 0.1467	LR: 0.004000
Training Epoch: 34 [15616/46200]	Loss: 0.1525	LR: 0.004000
Training Epoch: 34 [15872/46200]	Loss: 0.1550	LR: 0.004000
Training Epoch: 34 [16128/46200]	Loss: 0.1420	LR: 0.004000
Training Epoch: 34 [16384/46200]	Loss: 0.2214	LR: 0.004000
Training Epoch: 34 [16640/46200]	Loss: 0.1486	LR: 0.004000
Training Epoch: 34 [16896/46200]	Loss: 0.1405	LR: 0.004000
Training Epoch: 34 [17152/46200]	Loss: 0.1423	LR: 0.004000
Training Epoch: 34 [17408/46200]	Loss: 0.1794	LR: 0.004000
Training Epoch: 34 [17664/46200]	Loss: 0.1459	LR: 0.004000
Training Epoch: 34 [17920/46200]	Loss: 0.0936	LR: 0.004000
Training Epoch: 34 [18176/46200]	Loss: 0.1737	LR: 0.004000
Training Epoch: 34 [18432/46200]	Loss: 0.1574	LR: 0.004000
Training Epoch: 34 [18688/46200]	Loss: 0.1136	LR: 0.004000
Training Epoch: 34 [18944/46200]	Loss: 0.1155	LR: 0.004000
Training Epoch: 34 [19200/46200]	Loss: 0.1190	LR: 0.004000
Training Epoch: 34 [19456/46200]	Loss: 0.1583	LR: 0.004000
Training Epoch: 34 [19712/46200]	Loss: 0.1546	LR: 0.004000
Training Epoch: 34 [19968/46200]	Loss: 0.1087	LR: 0.004000
Training Epoch: 34 [20224/46200]	Loss: 0.1432	LR: 0.004000
Training Epoch: 34 [20480/46200]	Loss: 0.1219	LR: 0.004000
Training Epoch: 34 [20736/46200]	Loss: 0.1601	LR: 0.004000
Training Epoch: 34 [20992/46200]	Loss: 0.1140	LR: 0.004000
Training Epoch: 34 [21248/46200]	Loss: 0.1248	LR: 0.004000
Training Epoch: 34 [21504/46200]	Loss: 0.1499	LR: 0.004000
Training Epoch: 34 [21760/46200]	Loss: 0.1453	LR: 0.004000
Training Epoch: 34 [22016/46200]	Loss: 0.1555	LR: 0.004000
Training Epoch: 34 [22272/46200]	Loss: 0.1960	LR: 0.004000
Training Epoch: 34 [22528/46200]	Loss: 0.1354	LR: 0.004000
Training Epoch: 34 [22784/46200]	Loss: 0.1724	LR: 0.004000
Training Epoch: 34 [23040/46200]	Loss: 0.1398	LR: 0.004000
Training Epoch: 34 [23296/46200]	Loss: 0.1327	LR: 0.004000
Training Epoch: 34 [23552/46200]	Loss: 0.1337	LR: 0.004000
Training Epoch: 34 [23808/46200]	Loss: 0.1484	LR: 0.004000
Training Epoch: 34 [24064/46200]	Loss: 0.0959	LR: 0.004000
Training Epoch: 34 [24320/46200]	Loss: 0.1380	LR: 0.004000
Training Epoch: 34 [24576/46200]	Loss: 0.1304	LR: 0.004000
Training Epoch: 34 [24832/46200]	Loss: 0.1151	LR: 0.004000
Training Epoch: 34 [25088/46200]	Loss: 0.1346	LR: 0.004000
Training Epoch: 34 [25344/46200]	Loss: 0.1429	LR: 0.004000
Training Epoch: 34 [25600/46200]	Loss: 0.1227	LR: 0.004000
Training Epoch: 34 [25856/46200]	Loss: 0.1405	LR: 0.004000
Training Epoch: 34 [26112/46200]	Loss: 0.0871	LR: 0.004000
Training Epoch: 34 [26368/46200]	Loss: 0.1406	LR: 0.004000
Training Epoch: 34 [26624/46200]	Loss: 0.1275	LR: 0.004000
Training Epoch: 34 [26880/46200]	Loss: 0.1575	LR: 0.004000
Training Epoch: 34 [27136/46200]	Loss: 0.1761	LR: 0.004000
Training Epoch: 34 [27392/46200]	Loss: 0.1345	LR: 0.004000
Training Epoch: 34 [27648/46200]	Loss: 0.1621	LR: 0.004000
Training Epoch: 34 [27904/46200]	Loss: 0.1632	LR: 0.004000
Training Epoch: 34 [28160/46200]	Loss: 0.1662	LR: 0.004000
Training Epoch: 34 [28416/46200]	Loss: 0.1512	LR: 0.004000
Training Epoch: 34 [28672/46200]	Loss: 0.1561	LR: 0.004000
Training Epoch: 34 [28928/46200]	Loss: 0.1708	LR: 0.004000
Training Epoch: 34 [29184/46200]	Loss: 0.1612	LR: 0.004000
Training Epoch: 34 [29440/46200]	Loss: 0.1391	LR: 0.004000
Training Epoch: 34 [29696/46200]	Loss: 0.1887	LR: 0.004000
Training Epoch: 34 [29952/46200]	Loss: 0.1008	LR: 0.004000
Training Epoch: 34 [30208/46200]	Loss: 0.1525	LR: 0.004000
Training Epoch: 34 [30464/46200]	Loss: 0.0988	LR: 0.004000
Training Epoch: 34 [30720/46200]	Loss: 0.1518	LR: 0.004000
Training Epoch: 34 [30976/46200]	Loss: 0.1163	LR: 0.004000
Training Epoch: 34 [31232/46200]	Loss: 0.1175	LR: 0.004000
Training Epoch: 34 [31488/46200]	Loss: 0.1142	LR: 0.004000
Training Epoch: 34 [31744/46200]	Loss: 0.1416	LR: 0.004000
Training Epoch: 34 [32000/46200]	Loss: 0.1434	LR: 0.004000
Training Epoch: 34 [32256/46200]	Loss: 0.1172	LR: 0.004000
Training Epoch: 34 [32512/46200]	Loss: 0.1087	LR: 0.004000
Training Epoch: 34 [32768/46200]	Loss: 0.1642	LR: 0.004000
Training Epoch: 34 [33024/46200]	Loss: 0.1420	LR: 0.004000
Training Epoch: 34 [33280/46200]	Loss: 0.1209	LR: 0.004000
Training Epoch: 34 [33536/46200]	Loss: 0.1575	LR: 0.004000
Training Epoch: 34 [33792/46200]	Loss: 0.1909	LR: 0.004000
Training Epoch: 34 [34048/46200]	Loss: 0.1673	LR: 0.004000
Training Epoch: 34 [34304/46200]	Loss: 0.2020	LR: 0.004000
Training Epoch: 34 [34560/46200]	Loss: 0.1151	LR: 0.004000
Training Epoch: 34 [34816/46200]	Loss: 0.1413	LR: 0.004000
Training Epoch: 34 [35072/46200]	Loss: 0.1282	LR: 0.004000
Training Epoch: 34 [35328/46200]	Loss: 0.1338	LR: 0.004000
Training Epoch: 34 [35584/46200]	Loss: 0.1545	LR: 0.004000
Training Epoch: 34 [35840/46200]	Loss: 0.1370	LR: 0.004000
Training Epoch: 34 [36096/46200]	Loss: 0.1581	LR: 0.004000
Training Epoch: 34 [36352/46200]	Loss: 0.1034	LR: 0.004000
Training Epoch: 34 [36608/46200]	Loss: 0.1301	LR: 0.004000
Training Epoch: 34 [36864/46200]	Loss: 0.1409	LR: 0.004000
Training Epoch: 34 [37120/46200]	Loss: 0.1401	LR: 0.004000
Training Epoch: 34 [37376/46200]	Loss: 0.1186	LR: 0.004000
Training Epoch: 34 [37632/46200]	Loss: 0.1396	LR: 0.004000
Training Epoch: 34 [37888/46200]	Loss: 0.1025	LR: 0.004000
Training Epoch: 34 [38144/46200]	Loss: 0.1153	LR: 0.004000
Training Epoch: 34 [38400/46200]	Loss: 0.1724	LR: 0.004000
Training Epoch: 34 [38656/46200]	Loss: 0.1264	LR: 0.004000
Training Epoch: 34 [38912/46200]	Loss: 0.1100	LR: 0.004000
Training Epoch: 34 [39168/46200]	Loss: 0.1691	LR: 0.004000
Training Epoch: 34 [39424/46200]	Loss: 0.1641	LR: 0.004000
Training Epoch: 34 [39680/46200]	Loss: 0.1146	LR: 0.004000
Training Epoch: 34 [39936/46200]	Loss: 0.1941	LR: 0.004000
Training Epoch: 34 [40192/46200]	Loss: 0.1714	LR: 0.004000
Training Epoch: 34 [40448/46200]	Loss: 0.1377	LR: 0.004000
Training Epoch: 34 [40704/46200]	Loss: 0.1239	LR: 0.004000
Training Epoch: 34 [40960/46200]	Loss: 0.1535	LR: 0.004000
Training Epoch: 34 [41216/46200]	Loss: 0.0948	LR: 0.004000
Training Epoch: 34 [41472/46200]	Loss: 0.1526	LR: 0.004000
Training Epoch: 34 [41728/46200]	Loss: 0.1333	LR: 0.004000
Training Epoch: 34 [41984/46200]	Loss: 0.1815	LR: 0.004000
Training Epoch: 34 [42240/46200]	Loss: 0.1304	LR: 0.004000
Training Epoch: 34 [42496/46200]	Loss: 0.1563	LR: 0.004000
Training Epoch: 34 [42752/46200]	Loss: 0.1096	LR: 0.004000
Training Epoch: 34 [43008/46200]	Loss: 0.0998	LR: 0.004000
Training Epoch: 34 [43264/46200]	Loss: 0.1820	LR: 0.004000
Training Epoch: 34 [43520/46200]	Loss: 0.1563	LR: 0.004000
Training Epoch: 34 [43776/46200]	Loss: 0.1203	LR: 0.004000
Training Epoch: 34 [44032/46200]	Loss: 0.0987	LR: 0.004000
Training Epoch: 34 [44288/46200]	Loss: 0.1032	LR: 0.004000
Training Epoch: 34 [44544/46200]	Loss: 0.1441	LR: 0.004000
Training Epoch: 34 [44800/46200]	Loss: 0.1693	LR: 0.004000
Training Epoch: 34 [45056/46200]	Loss: 0.1398	LR: 0.004000
Training Epoch: 34 [45312/46200]	Loss: 0.1528	LR: 0.004000
Training Epoch: 34 [45568/46200]	Loss: 0.1176	LR: 0.004000
Training Epoch: 34 [45824/46200]	Loss: 0.1162	LR: 0.004000
Training Epoch: 34 [46080/46200]	Loss: 0.1499	LR: 0.004000
Training Epoch: 34 [46200/46200]	Loss: 0.1491	LR: 0.004000
Epoch 34 - Average Train Loss: 0.1396, Train Accuracy: 0.9581
Epoch 34 training time consumed: 27.87s
Evaluating Network.....
Test set: Epoch: 34, Average loss: 0.0029, Accuracy: 0.8058, Time consumed:0.91s
Training Epoch: 35 [256/46200]	Loss: 0.1794	LR: 0.000800
Training Epoch: 35 [512/46200]	Loss: 0.1114	LR: 0.000800
Training Epoch: 35 [768/46200]	Loss: 0.1364	LR: 0.000800
Training Epoch: 35 [1024/46200]	Loss: 0.1202	LR: 0.000800
Training Epoch: 35 [1280/46200]	Loss: 0.1177	LR: 0.000800
Training Epoch: 35 [1536/46200]	Loss: 0.1125	LR: 0.000800
Training Epoch: 35 [1792/46200]	Loss: 0.1466	LR: 0.000800
Training Epoch: 35 [2048/46200]	Loss: 0.1045	LR: 0.000800
Training Epoch: 35 [2304/46200]	Loss: 0.0894	LR: 0.000800
Training Epoch: 35 [2560/46200]	Loss: 0.1114	LR: 0.000800
Training Epoch: 35 [2816/46200]	Loss: 0.1489	LR: 0.000800
Training Epoch: 35 [3072/46200]	Loss: 0.0875	LR: 0.000800
Training Epoch: 35 [3328/46200]	Loss: 0.1212	LR: 0.000800
Training Epoch: 35 [3584/46200]	Loss: 0.1265	LR: 0.000800
Training Epoch: 35 [3840/46200]	Loss: 0.1129	LR: 0.000800
Training Epoch: 35 [4096/46200]	Loss: 0.1515	LR: 0.000800
Training Epoch: 35 [4352/46200]	Loss: 0.1634	LR: 0.000800
Training Epoch: 35 [4608/46200]	Loss: 0.1351	LR: 0.000800
Training Epoch: 35 [4864/46200]	Loss: 0.1401	LR: 0.000800
Training Epoch: 35 [5120/46200]	Loss: 0.1208	LR: 0.000800
Training Epoch: 35 [5376/46200]	Loss: 0.1527	LR: 0.000800
Training Epoch: 35 [5632/46200]	Loss: 0.1498	LR: 0.000800
Training Epoch: 35 [5888/46200]	Loss: 0.1206	LR: 0.000800
Training Epoch: 35 [6144/46200]	Loss: 0.1056	LR: 0.000800
Training Epoch: 35 [6400/46200]	Loss: 0.1016	LR: 0.000800
Training Epoch: 35 [6656/46200]	Loss: 0.1482	LR: 0.000800
Training Epoch: 35 [6912/46200]	Loss: 0.1157	LR: 0.000800
Training Epoch: 35 [7168/46200]	Loss: 0.0906	LR: 0.000800
Training Epoch: 35 [7424/46200]	Loss: 0.0956	LR: 0.000800
Training Epoch: 35 [7680/46200]	Loss: 0.1022	LR: 0.000800
Training Epoch: 35 [7936/46200]	Loss: 0.1252	LR: 0.000800
Training Epoch: 35 [8192/46200]	Loss: 0.0997	LR: 0.000800
Training Epoch: 35 [8448/46200]	Loss: 0.1198	LR: 0.000800
Training Epoch: 35 [8704/46200]	Loss: 0.1600	LR: 0.000800
Training Epoch: 35 [8960/46200]	Loss: 0.1698	LR: 0.000800
Training Epoch: 35 [9216/46200]	Loss: 0.0990	LR: 0.000800
Training Epoch: 35 [9472/46200]	Loss: 0.1086	LR: 0.000800
Training Epoch: 35 [9728/46200]	Loss: 0.1739	LR: 0.000800
Training Epoch: 35 [9984/46200]	Loss: 0.1155	LR: 0.000800
Training Epoch: 35 [10240/46200]	Loss: 0.1590	LR: 0.000800
Training Epoch: 35 [10496/46200]	Loss: 0.1242	LR: 0.000800
Training Epoch: 35 [10752/46200]	Loss: 0.1833	LR: 0.000800
Training Epoch: 35 [11008/46200]	Loss: 0.1083	LR: 0.000800
Training Epoch: 35 [11264/46200]	Loss: 0.1319	LR: 0.000800
Training Epoch: 35 [11520/46200]	Loss: 0.0778	LR: 0.000800
Training Epoch: 35 [11776/46200]	Loss: 0.1573	LR: 0.000800
Training Epoch: 35 [12032/46200]	Loss: 0.1328	LR: 0.000800
Training Epoch: 35 [12288/46200]	Loss: 0.1082	LR: 0.000800
Training Epoch: 35 [12544/46200]	Loss: 0.1403	LR: 0.000800
Training Epoch: 35 [12800/46200]	Loss: 0.1056	LR: 0.000800
Training Epoch: 35 [13056/46200]	Loss: 0.0948	LR: 0.000800
Training Epoch: 35 [13312/46200]	Loss: 0.1339	LR: 0.000800
Training Epoch: 35 [13568/46200]	Loss: 0.1386	LR: 0.000800
Training Epoch: 35 [13824/46200]	Loss: 0.1123	LR: 0.000800
Training Epoch: 35 [14080/46200]	Loss: 0.0953	LR: 0.000800
Training Epoch: 35 [14336/46200]	Loss: 0.1507	LR: 0.000800
Training Epoch: 35 [14592/46200]	Loss: 0.1275	LR: 0.000800
Training Epoch: 35 [14848/46200]	Loss: 0.1531	LR: 0.000800
Training Epoch: 35 [15104/46200]	Loss: 0.1402	LR: 0.000800
Training Epoch: 35 [15360/46200]	Loss: 0.0989	LR: 0.000800
Training Epoch: 35 [15616/46200]	Loss: 0.1280	LR: 0.000800
Training Epoch: 35 [15872/46200]	Loss: 0.1387	LR: 0.000800
Training Epoch: 35 [16128/46200]	Loss: 0.0916	LR: 0.000800
Training Epoch: 35 [16384/46200]	Loss: 0.1195	LR: 0.000800
Training Epoch: 35 [16640/46200]	Loss: 0.1145	LR: 0.000800
Training Epoch: 35 [16896/46200]	Loss: 0.0902	LR: 0.000800
Training Epoch: 35 [17152/46200]	Loss: 0.1082	LR: 0.000800
Training Epoch: 35 [17408/46200]	Loss: 0.1032	LR: 0.000800
Training Epoch: 35 [17664/46200]	Loss: 0.1211	LR: 0.000800
Training Epoch: 35 [17920/46200]	Loss: 0.1244	LR: 0.000800
Training Epoch: 35 [18176/46200]	Loss: 0.1322	LR: 0.000800
Training Epoch: 35 [18432/46200]	Loss: 0.1069	LR: 0.000800
Training Epoch: 35 [18688/46200]	Loss: 0.1363	LR: 0.000800
Training Epoch: 35 [18944/46200]	Loss: 0.1463	LR: 0.000800
Training Epoch: 35 [19200/46200]	Loss: 0.1368	LR: 0.000800
Training Epoch: 35 [19456/46200]	Loss: 0.0905	LR: 0.000800
Training Epoch: 35 [19712/46200]	Loss: 0.1087	LR: 0.000800
Training Epoch: 35 [19968/46200]	Loss: 0.1168	LR: 0.000800
Training Epoch: 35 [20224/46200]	Loss: 0.0857	LR: 0.000800
Training Epoch: 35 [20480/46200]	Loss: 0.1616	LR: 0.000800
Training Epoch: 35 [20736/46200]	Loss: 0.0899	LR: 0.000800
Training Epoch: 35 [20992/46200]	Loss: 0.1326	LR: 0.000800
Training Epoch: 35 [21248/46200]	Loss: 0.1805	LR: 0.000800
Training Epoch: 35 [21504/46200]	Loss: 0.1033	LR: 0.000800
Training Epoch: 35 [21760/46200]	Loss: 0.1223	LR: 0.000800
Training Epoch: 35 [22016/46200]	Loss: 0.1768	LR: 0.000800
Training Epoch: 35 [22272/46200]	Loss: 0.1104	LR: 0.000800
Training Epoch: 35 [22528/46200]	Loss: 0.1179	LR: 0.000800
Training Epoch: 35 [22784/46200]	Loss: 0.1461	LR: 0.000800
Training Epoch: 35 [23040/46200]	Loss: 0.1050	LR: 0.000800
Training Epoch: 35 [23296/46200]	Loss: 0.0830	LR: 0.000800
Training Epoch: 35 [23552/46200]	Loss: 0.1352	LR: 0.000800
Training Epoch: 35 [23808/46200]	Loss: 0.1221	LR: 0.000800
Training Epoch: 35 [24064/46200]	Loss: 0.1529	LR: 0.000800
Training Epoch: 35 [24320/46200]	Loss: 0.1637	LR: 0.000800
Training Epoch: 35 [24576/46200]	Loss: 0.1222	LR: 0.000800
Training Epoch: 35 [24832/46200]	Loss: 0.1146	LR: 0.000800
Training Epoch: 35 [25088/46200]	Loss: 0.1488	LR: 0.000800
Training Epoch: 35 [25344/46200]	Loss: 0.1440	LR: 0.000800
Training Epoch: 35 [25600/46200]	Loss: 0.1136	LR: 0.000800
Training Epoch: 35 [25856/46200]	Loss: 0.1009	LR: 0.000800
Training Epoch: 35 [26112/46200]	Loss: 0.0715	LR: 0.000800
Training Epoch: 35 [26368/46200]	Loss: 0.1358	LR: 0.000800
Training Epoch: 35 [26624/46200]	Loss: 0.1422	LR: 0.000800
Training Epoch: 35 [26880/46200]	Loss: 0.1535	LR: 0.000800
Training Epoch: 35 [27136/46200]	Loss: 0.0582	LR: 0.000800
Training Epoch: 35 [27392/46200]	Loss: 0.1224	LR: 0.000800
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Training Epoch: 35 [28416/46200]	Loss: 0.0896	LR: 0.000800
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Training Epoch: 35 [29184/46200]	Loss: 0.0808	LR: 0.000800
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Training Epoch: 35 [29952/46200]	Loss: 0.0901	LR: 0.000800
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Training Epoch: 35 [32256/46200]	Loss: 0.0954	LR: 0.000800
Training Epoch: 35 [32512/46200]	Loss: 0.1306	LR: 0.000800
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Training Epoch: 35 [40448/46200]	Loss: 0.0958	LR: 0.000800
Training Epoch: 35 [40704/46200]	Loss: 0.1344	LR: 0.000800
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Training Epoch: 35 [41216/46200]	Loss: 0.1019	LR: 0.000800
Training Epoch: 35 [41472/46200]	Loss: 0.1427	LR: 0.000800
Training Epoch: 35 [41728/46200]	Loss: 0.1204	LR: 0.000800
Training Epoch: 35 [41984/46200]	Loss: 0.1254	LR: 0.000800
Training Epoch: 35 [42240/46200]	Loss: 0.0918	LR: 0.000800
Training Epoch: 35 [42496/46200]	Loss: 0.1220	LR: 0.000800
Training Epoch: 35 [42752/46200]	Loss: 0.1187	LR: 0.000800
Training Epoch: 35 [43008/46200]	Loss: 0.1132	LR: 0.000800
Training Epoch: 35 [43264/46200]	Loss: 0.1256	LR: 0.000800
Training Epoch: 35 [43520/46200]	Loss: 0.1465	LR: 0.000800
Training Epoch: 35 [43776/46200]	Loss: 0.1372	LR: 0.000800
Training Epoch: 35 [44032/46200]	Loss: 0.1405	LR: 0.000800
Training Epoch: 35 [44288/46200]	Loss: 0.0954	LR: 0.000800
Training Epoch: 35 [44544/46200]	Loss: 0.1228	LR: 0.000800
Training Epoch: 35 [44800/46200]	Loss: 0.1362	LR: 0.000800
Training Epoch: 35 [45056/46200]	Loss: 0.1192	LR: 0.000800
Training Epoch: 35 [45312/46200]	Loss: 0.1085	LR: 0.000800
Training Epoch: 35 [45568/46200]	Loss: 0.1414	LR: 0.000800
Training Epoch: 35 [45824/46200]	Loss: 0.1364	LR: 0.000800
Training Epoch: 35 [46080/46200]	Loss: 0.0785	LR: 0.000800
Training Epoch: 35 [46200/46200]	Loss: 0.0994	LR: 0.000800
Epoch 35 - Average Train Loss: 0.1215, Train Accuracy: 0.9647
Epoch 35 training time consumed: 27.83s
Evaluating Network.....
Test set: Epoch: 35, Average loss: 0.0028, Accuracy: 0.8098, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_03h_31m_17s/ResNet18-Cifar20-seed7-ret25-35-best.pth
Training Epoch: 36 [256/46200]	Loss: 0.1166	LR: 0.000800
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Training Epoch: 36 [768/46200]	Loss: 0.0944	LR: 0.000800
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Training Epoch: 36 [1280/46200]	Loss: 0.1090	LR: 0.000800
Training Epoch: 36 [1536/46200]	Loss: 0.0738	LR: 0.000800
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Training Epoch: 36 [3328/46200]	Loss: 0.0955	LR: 0.000800
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Training Epoch: 36 [3840/46200]	Loss: 0.0937	LR: 0.000800
Training Epoch: 36 [4096/46200]	Loss: 0.1464	LR: 0.000800
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Training Epoch: 36 [4608/46200]	Loss: 0.1451	LR: 0.000800
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Training Epoch: 36 [5376/46200]	Loss: 0.0871	LR: 0.000800
Training Epoch: 36 [5632/46200]	Loss: 0.1373	LR: 0.000800
Training Epoch: 36 [5888/46200]	Loss: 0.1597	LR: 0.000800
Training Epoch: 36 [6144/46200]	Loss: 0.1123	LR: 0.000800
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Training Epoch: 36 [9984/46200]	Loss: 0.1531	LR: 0.000800
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Training Epoch: 36 [27392/46200]	Loss: 0.1334	LR: 0.000800
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Training Epoch: 36 [27904/46200]	Loss: 0.1372	LR: 0.000800
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Training Epoch: 36 [28928/46200]	Loss: 0.1101	LR: 0.000800
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Training Epoch: 36 [29440/46200]	Loss: 0.1447	LR: 0.000800
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Training Epoch: 36 [30976/46200]	Loss: 0.1147	LR: 0.000800
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Training Epoch: 36 [36608/46200]	Loss: 0.1017	LR: 0.000800
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Training Epoch: 36 [37120/46200]	Loss: 0.1089	LR: 0.000800
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Training Epoch: 36 [37888/46200]	Loss: 0.1195	LR: 0.000800
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Training Epoch: 36 [40192/46200]	Loss: 0.1014	LR: 0.000800
Training Epoch: 36 [40448/46200]	Loss: 0.1286	LR: 0.000800
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Training Epoch: 36 [40960/46200]	Loss: 0.1661	LR: 0.000800
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Training Epoch: 36 [41728/46200]	Loss: 0.1019	LR: 0.000800
Training Epoch: 36 [41984/46200]	Loss: 0.1590	LR: 0.000800
Training Epoch: 36 [42240/46200]	Loss: 0.1142	LR: 0.000800
Training Epoch: 36 [42496/46200]	Loss: 0.0758	LR: 0.000800
Training Epoch: 36 [42752/46200]	Loss: 0.1359	LR: 0.000800
Training Epoch: 36 [43008/46200]	Loss: 0.0901	LR: 0.000800
Training Epoch: 36 [43264/46200]	Loss: 0.1632	LR: 0.000800
Training Epoch: 36 [43520/46200]	Loss: 0.1094	LR: 0.000800
Training Epoch: 36 [43776/46200]	Loss: 0.1084	LR: 0.000800
Training Epoch: 36 [44032/46200]	Loss: 0.1084	LR: 0.000800
Training Epoch: 36 [44288/46200]	Loss: 0.1123	LR: 0.000800
Training Epoch: 36 [44544/46200]	Loss: 0.1338	LR: 0.000800
Training Epoch: 36 [44800/46200]	Loss: 0.0895	LR: 0.000800
Training Epoch: 36 [45056/46200]	Loss: 0.1239	LR: 0.000800
Training Epoch: 36 [45312/46200]	Loss: 0.0912	LR: 0.000800
Training Epoch: 36 [45568/46200]	Loss: 0.1295	LR: 0.000800
Training Epoch: 36 [45824/46200]	Loss: 0.0755	LR: 0.000800
Training Epoch: 36 [46080/46200]	Loss: 0.1245	LR: 0.000800
Training Epoch: 36 [46200/46200]	Loss: 0.1390	LR: 0.000800
Epoch 36 - Average Train Loss: 0.1184, Train Accuracy: 0.9656
Epoch 36 training time consumed: 27.68s
Evaluating Network.....
Test set: Epoch: 36, Average loss: 0.0028, Accuracy: 0.8075, Time consumed:0.91s
Training Epoch: 37 [256/46200]	Loss: 0.0661	LR: 0.000800
Training Epoch: 37 [512/46200]	Loss: 0.0923	LR: 0.000800
Training Epoch: 37 [768/46200]	Loss: 0.0874	LR: 0.000800
Training Epoch: 37 [1024/46200]	Loss: 0.1003	LR: 0.000800
Training Epoch: 37 [1280/46200]	Loss: 0.1381	LR: 0.000800
Training Epoch: 37 [1536/46200]	Loss: 0.1056	LR: 0.000800
Training Epoch: 37 [1792/46200]	Loss: 0.1490	LR: 0.000800
Training Epoch: 37 [2048/46200]	Loss: 0.1045	LR: 0.000800
Training Epoch: 37 [2304/46200]	Loss: 0.0931	LR: 0.000800
Training Epoch: 37 [2560/46200]	Loss: 0.1409	LR: 0.000800
Training Epoch: 37 [2816/46200]	Loss: 0.1281	LR: 0.000800
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Training Epoch: 37 [3328/46200]	Loss: 0.1797	LR: 0.000800
Training Epoch: 37 [3584/46200]	Loss: 0.0961	LR: 0.000800
Training Epoch: 37 [3840/46200]	Loss: 0.1347	LR: 0.000800
Training Epoch: 37 [4096/46200]	Loss: 0.1145	LR: 0.000800
Training Epoch: 37 [4352/46200]	Loss: 0.0968	LR: 0.000800
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Training Epoch: 37 [4864/46200]	Loss: 0.1096	LR: 0.000800
Training Epoch: 37 [5120/46200]	Loss: 0.1191	LR: 0.000800
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Training Epoch: 37 [5632/46200]	Loss: 0.0895	LR: 0.000800
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Training Epoch: 37 [6912/46200]	Loss: 0.1023	LR: 0.000800
Training Epoch: 37 [7168/46200]	Loss: 0.1299	LR: 0.000800
Training Epoch: 37 [7424/46200]	Loss: 0.1058	LR: 0.000800
Training Epoch: 37 [7680/46200]	Loss: 0.1433	LR: 0.000800
Training Epoch: 37 [7936/46200]	Loss: 0.0804	LR: 0.000800
Training Epoch: 37 [8192/46200]	Loss: 0.1293	LR: 0.000800
Training Epoch: 37 [8448/46200]	Loss: 0.1277	LR: 0.000800
Training Epoch: 37 [8704/46200]	Loss: 0.1190	LR: 0.000800
Training Epoch: 37 [8960/46200]	Loss: 0.0925	LR: 0.000800
Training Epoch: 37 [9216/46200]	Loss: 0.1278	LR: 0.000800
Training Epoch: 37 [9472/46200]	Loss: 0.1276	LR: 0.000800
Training Epoch: 37 [9728/46200]	Loss: 0.1240	LR: 0.000800
Training Epoch: 37 [9984/46200]	Loss: 0.1414	LR: 0.000800
Training Epoch: 37 [10240/46200]	Loss: 0.1877	LR: 0.000800
Training Epoch: 37 [10496/46200]	Loss: 0.0723	LR: 0.000800
Training Epoch: 37 [10752/46200]	Loss: 0.0897	LR: 0.000800
Training Epoch: 37 [11008/46200]	Loss: 0.1373	LR: 0.000800
Training Epoch: 37 [11264/46200]	Loss: 0.1099	LR: 0.000800
Training Epoch: 37 [11520/46200]	Loss: 0.0609	LR: 0.000800
Training Epoch: 37 [11776/46200]	Loss: 0.1392	LR: 0.000800
Training Epoch: 37 [12032/46200]	Loss: 0.0990	LR: 0.000800
Training Epoch: 37 [12288/46200]	Loss: 0.1250	LR: 0.000800
Training Epoch: 37 [12544/46200]	Loss: 0.1045	LR: 0.000800
Training Epoch: 37 [12800/46200]	Loss: 0.0979	LR: 0.000800
Training Epoch: 37 [13056/46200]	Loss: 0.1766	LR: 0.000800
Training Epoch: 37 [13312/46200]	Loss: 0.1156	LR: 0.000800
Training Epoch: 37 [13568/46200]	Loss: 0.0874	LR: 0.000800
Training Epoch: 37 [13824/46200]	Loss: 0.1264	LR: 0.000800
Training Epoch: 37 [14080/46200]	Loss: 0.1013	LR: 0.000800
Training Epoch: 37 [14336/46200]	Loss: 0.1290	LR: 0.000800
Training Epoch: 37 [14592/46200]	Loss: 0.1094	LR: 0.000800
Training Epoch: 37 [14848/46200]	Loss: 0.1354	LR: 0.000800
Training Epoch: 37 [15104/46200]	Loss: 0.1410	LR: 0.000800
Training Epoch: 37 [15360/46200]	Loss: 0.1050	LR: 0.000800
Training Epoch: 37 [15616/46200]	Loss: 0.1122	LR: 0.000800
Training Epoch: 37 [15872/46200]	Loss: 0.0905	LR: 0.000800
Training Epoch: 37 [16128/46200]	Loss: 0.0877	LR: 0.000800
Training Epoch: 37 [16384/46200]	Loss: 0.0766	LR: 0.000800
Training Epoch: 37 [16640/46200]	Loss: 0.1428	LR: 0.000800
Training Epoch: 37 [16896/46200]	Loss: 0.1022	LR: 0.000800
Training Epoch: 37 [17152/46200]	Loss: 0.1237	LR: 0.000800
Training Epoch: 37 [17408/46200]	Loss: 0.0580	LR: 0.000800
Training Epoch: 37 [17664/46200]	Loss: 0.0957	LR: 0.000800
Training Epoch: 37 [17920/46200]	Loss: 0.1057	LR: 0.000800
Training Epoch: 37 [18176/46200]	Loss: 0.1479	LR: 0.000800
Training Epoch: 37 [18432/46200]	Loss: 0.1302	LR: 0.000800
Training Epoch: 37 [18688/46200]	Loss: 0.1017	LR: 0.000800
Training Epoch: 37 [18944/46200]	Loss: 0.1175	LR: 0.000800
Training Epoch: 37 [19200/46200]	Loss: 0.0880	LR: 0.000800
Training Epoch: 37 [19456/46200]	Loss: 0.1074	LR: 0.000800
Training Epoch: 37 [19712/46200]	Loss: 0.0998	LR: 0.000800
Training Epoch: 37 [19968/46200]	Loss: 0.1461	LR: 0.000800
Training Epoch: 37 [20224/46200]	Loss: 0.1126	LR: 0.000800
Training Epoch: 37 [20480/46200]	Loss: 0.1409	LR: 0.000800
Training Epoch: 37 [20736/46200]	Loss: 0.0950	LR: 0.000800
Training Epoch: 37 [20992/46200]	Loss: 0.1390	LR: 0.000800
Training Epoch: 37 [21248/46200]	Loss: 0.1019	LR: 0.000800
Training Epoch: 37 [21504/46200]	Loss: 0.0982	LR: 0.000800
Training Epoch: 37 [21760/46200]	Loss: 0.0973	LR: 0.000800
Training Epoch: 37 [22016/46200]	Loss: 0.1062	LR: 0.000800
Training Epoch: 37 [22272/46200]	Loss: 0.1203	LR: 0.000800
Training Epoch: 37 [22528/46200]	Loss: 0.0927	LR: 0.000800
Training Epoch: 37 [22784/46200]	Loss: 0.1270	LR: 0.000800
Training Epoch: 37 [23040/46200]	Loss: 0.1278	LR: 0.000800
Training Epoch: 37 [23296/46200]	Loss: 0.1057	LR: 0.000800
Training Epoch: 37 [23552/46200]	Loss: 0.1501	LR: 0.000800
Training Epoch: 37 [23808/46200]	Loss: 0.1117	LR: 0.000800
Training Epoch: 37 [24064/46200]	Loss: 0.0980	LR: 0.000800
Training Epoch: 37 [24320/46200]	Loss: 0.0723	LR: 0.000800
Training Epoch: 37 [24576/46200]	Loss: 0.0988	LR: 0.000800
Training Epoch: 37 [24832/46200]	Loss: 0.1005	LR: 0.000800
Training Epoch: 37 [25088/46200]	Loss: 0.0930	LR: 0.000800
Training Epoch: 37 [25344/46200]	Loss: 0.1193	LR: 0.000800
Training Epoch: 37 [25600/46200]	Loss: 0.1024	LR: 0.000800
Training Epoch: 37 [25856/46200]	Loss: 0.1270	LR: 0.000800
Training Epoch: 37 [26112/46200]	Loss: 0.0969	LR: 0.000800
Training Epoch: 37 [26368/46200]	Loss: 0.1447	LR: 0.000800
Training Epoch: 37 [26624/46200]	Loss: 0.1451	LR: 0.000800
Training Epoch: 37 [26880/46200]	Loss: 0.1034	LR: 0.000800
Training Epoch: 37 [27136/46200]	Loss: 0.1719	LR: 0.000800
Training Epoch: 37 [27392/46200]	Loss: 0.1252	LR: 0.000800
Training Epoch: 37 [27648/46200]	Loss: 0.1456	LR: 0.000800
Training Epoch: 37 [27904/46200]	Loss: 0.1031	LR: 0.000800
Training Epoch: 37 [28160/46200]	Loss: 0.1647	LR: 0.000800
Training Epoch: 37 [28416/46200]	Loss: 0.1589	LR: 0.000800
Training Epoch: 37 [28672/46200]	Loss: 0.1121	LR: 0.000800
Training Epoch: 37 [28928/46200]	Loss: 0.0946	LR: 0.000800
Training Epoch: 37 [29184/46200]	Loss: 0.1156	LR: 0.000800
Training Epoch: 37 [29440/46200]	Loss: 0.1002	LR: 0.000800
Training Epoch: 37 [29696/46200]	Loss: 0.1313	LR: 0.000800
Training Epoch: 37 [29952/46200]	Loss: 0.1054	LR: 0.000800
Training Epoch: 37 [30208/46200]	Loss: 0.1247	LR: 0.000800
Training Epoch: 37 [30464/46200]	Loss: 0.1190	LR: 0.000800
Training Epoch: 37 [30720/46200]	Loss: 0.1434	LR: 0.000800
Training Epoch: 37 [30976/46200]	Loss: 0.0910	LR: 0.000800
Training Epoch: 37 [31232/46200]	Loss: 0.0777	LR: 0.000800
Training Epoch: 37 [31488/46200]	Loss: 0.0946	LR: 0.000800
Training Epoch: 37 [31744/46200]	Loss: 0.1153	LR: 0.000800
Training Epoch: 37 [32000/46200]	Loss: 0.1450	LR: 0.000800
Training Epoch: 37 [32256/46200]	Loss: 0.1174	LR: 0.000800
Training Epoch: 37 [32512/46200]	Loss: 0.1187	LR: 0.000800
Training Epoch: 37 [32768/46200]	Loss: 0.0724	LR: 0.000800
Training Epoch: 37 [33024/46200]	Loss: 0.0600	LR: 0.000800
Training Epoch: 37 [33280/46200]	Loss: 0.1151	LR: 0.000800
Training Epoch: 37 [33536/46200]	Loss: 0.1115	LR: 0.000800
Training Epoch: 37 [33792/46200]	Loss: 0.1049	LR: 0.000800
Training Epoch: 37 [34048/46200]	Loss: 0.1240	LR: 0.000800
Training Epoch: 37 [34304/46200]	Loss: 0.1108	LR: 0.000800
Training Epoch: 37 [34560/46200]	Loss: 0.1244	LR: 0.000800
Training Epoch: 37 [34816/46200]	Loss: 0.1025	LR: 0.000800
Training Epoch: 37 [35072/46200]	Loss: 0.0993	LR: 0.000800
Training Epoch: 37 [35328/46200]	Loss: 0.1105	LR: 0.000800
Training Epoch: 37 [35584/46200]	Loss: 0.0852	LR: 0.000800
Training Epoch: 37 [35840/46200]	Loss: 0.1368	LR: 0.000800
Training Epoch: 37 [36096/46200]	Loss: 0.1132	LR: 0.000800
Training Epoch: 37 [36352/46200]	Loss: 0.1053	LR: 0.000800
Training Epoch: 37 [36608/46200]	Loss: 0.0890	LR: 0.000800
Training Epoch: 37 [36864/46200]	Loss: 0.0842	LR: 0.000800
Training Epoch: 37 [37120/46200]	Loss: 0.0826	LR: 0.000800
Training Epoch: 37 [37376/46200]	Loss: 0.0893	LR: 0.000800
Training Epoch: 37 [37632/46200]	Loss: 0.0897	LR: 0.000800
Training Epoch: 37 [37888/46200]	Loss: 0.0953	LR: 0.000800
Training Epoch: 37 [38144/46200]	Loss: 0.1445	LR: 0.000800
Training Epoch: 37 [38400/46200]	Loss: 0.1143	LR: 0.000800
Training Epoch: 37 [38656/46200]	Loss: 0.1084	LR: 0.000800
Training Epoch: 37 [38912/46200]	Loss: 0.1077	LR: 0.000800
Training Epoch: 37 [39168/46200]	Loss: 0.1008	LR: 0.000800
Training Epoch: 37 [39424/46200]	Loss: 0.1293	LR: 0.000800
Training Epoch: 37 [39680/46200]	Loss: 0.1537	LR: 0.000800
Training Epoch: 37 [39936/46200]	Loss: 0.0944	LR: 0.000800
Training Epoch: 37 [40192/46200]	Loss: 0.1180	LR: 0.000800
Training Epoch: 37 [40448/46200]	Loss: 0.0970	LR: 0.000800
Training Epoch: 37 [40704/46200]	Loss: 0.1210	LR: 0.000800
Training Epoch: 37 [40960/46200]	Loss: 0.0990	LR: 0.000800
Training Epoch: 37 [41216/46200]	Loss: 0.1331	LR: 0.000800
Training Epoch: 37 [41472/46200]	Loss: 0.0870	LR: 0.000800
Training Epoch: 37 [41728/46200]	Loss: 0.1023	LR: 0.000800
Training Epoch: 37 [41984/46200]	Loss: 0.1480	LR: 0.000800
Training Epoch: 37 [42240/46200]	Loss: 0.1321	LR: 0.000800
Training Epoch: 37 [42496/46200]	Loss: 0.1033	LR: 0.000800
Training Epoch: 37 [42752/46200]	Loss: 0.1318	LR: 0.000800
Training Epoch: 37 [43008/46200]	Loss: 0.0942	LR: 0.000800
Training Epoch: 37 [43264/46200]	Loss: 0.1095	LR: 0.000800
Training Epoch: 37 [43520/46200]	Loss: 0.1903	LR: 0.000800
Training Epoch: 37 [43776/46200]	Loss: 0.1050	LR: 0.000800
Training Epoch: 37 [44032/46200]	Loss: 0.1577	LR: 0.000800
Training Epoch: 37 [44288/46200]	Loss: 0.0929	LR: 0.000800
Training Epoch: 37 [44544/46200]	Loss: 0.1090	LR: 0.000800
Training Epoch: 37 [44800/46200]	Loss: 0.0853	LR: 0.000800
Training Epoch: 37 [45056/46200]	Loss: 0.0952	LR: 0.000800
Training Epoch: 37 [45312/46200]	Loss: 0.0764	LR: 0.000800
Training Epoch: 37 [45568/46200]	Loss: 0.1255	LR: 0.000800
Training Epoch: 37 [45824/46200]	Loss: 0.0978	LR: 0.000800
Training Epoch: 37 [46080/46200]	Loss: 0.1186	LR: 0.000800
Training Epoch: 37 [46200/46200]	Loss: 0.0997	LR: 0.000800
Epoch 37 - Average Train Loss: 0.1138, Train Accuracy: 0.9677
Epoch 37 training time consumed: 28.09s
Evaluating Network.....
Test set: Epoch: 37, Average loss: 0.0028, Accuracy: 0.8088, Time consumed:0.89s
Training Epoch: 38 [256/46200]	Loss: 0.1173	LR: 0.000800
Training Epoch: 38 [512/46200]	Loss: 0.1341	LR: 0.000800
Training Epoch: 38 [768/46200]	Loss: 0.1186	LR: 0.000800
Training Epoch: 38 [1024/46200]	Loss: 0.1367	LR: 0.000800
Training Epoch: 38 [1280/46200]	Loss: 0.1056	LR: 0.000800
Training Epoch: 38 [1536/46200]	Loss: 0.0962	LR: 0.000800
Training Epoch: 38 [1792/46200]	Loss: 0.1430	LR: 0.000800
Training Epoch: 38 [2048/46200]	Loss: 0.1402	LR: 0.000800
Training Epoch: 38 [2304/46200]	Loss: 0.0865	LR: 0.000800
Training Epoch: 38 [2560/46200]	Loss: 0.1256	LR: 0.000800
Training Epoch: 38 [2816/46200]	Loss: 0.1276	LR: 0.000800
Training Epoch: 38 [3072/46200]	Loss: 0.0930	LR: 0.000800
Training Epoch: 38 [3328/46200]	Loss: 0.0918	LR: 0.000800
Training Epoch: 38 [3584/46200]	Loss: 0.1063	LR: 0.000800
Training Epoch: 38 [3840/46200]	Loss: 0.0813	LR: 0.000800
Training Epoch: 38 [4096/46200]	Loss: 0.1059	LR: 0.000800
Training Epoch: 38 [4352/46200]	Loss: 0.1516	LR: 0.000800
Training Epoch: 38 [4608/46200]	Loss: 0.1290	LR: 0.000800
Training Epoch: 38 [4864/46200]	Loss: 0.1048	LR: 0.000800
Training Epoch: 38 [5120/46200]	Loss: 0.0742	LR: 0.000800
Training Epoch: 38 [5376/46200]	Loss: 0.1286	LR: 0.000800
Training Epoch: 38 [5632/46200]	Loss: 0.1118	LR: 0.000800
Training Epoch: 38 [5888/46200]	Loss: 0.0914	LR: 0.000800
Training Epoch: 38 [6144/46200]	Loss: 0.0869	LR: 0.000800
Training Epoch: 38 [6400/46200]	Loss: 0.0802	LR: 0.000800
Training Epoch: 38 [6656/46200]	Loss: 0.1155	LR: 0.000800
Training Epoch: 38 [6912/46200]	Loss: 0.1413	LR: 0.000800
Training Epoch: 38 [7168/46200]	Loss: 0.0959	LR: 0.000800
Training Epoch: 38 [7424/46200]	Loss: 0.1184	LR: 0.000800
Training Epoch: 38 [7680/46200]	Loss: 0.0871	LR: 0.000800
Training Epoch: 38 [7936/46200]	Loss: 0.1033	LR: 0.000800
Training Epoch: 38 [8192/46200]	Loss: 0.1275	LR: 0.000800
Training Epoch: 38 [8448/46200]	Loss: 0.1241	LR: 0.000800
Training Epoch: 38 [8704/46200]	Loss: 0.1281	LR: 0.000800
Training Epoch: 38 [8960/46200]	Loss: 0.1307	LR: 0.000800
Training Epoch: 38 [9216/46200]	Loss: 0.1054	LR: 0.000800
Training Epoch: 38 [9472/46200]	Loss: 0.1060	LR: 0.000800
Training Epoch: 38 [9728/46200]	Loss: 0.0904	LR: 0.000800
Training Epoch: 38 [9984/46200]	Loss: 0.1166	LR: 0.000800
Training Epoch: 38 [10240/46200]	Loss: 0.1245	LR: 0.000800
Training Epoch: 38 [10496/46200]	Loss: 0.0968	LR: 0.000800
Training Epoch: 38 [10752/46200]	Loss: 0.1304	LR: 0.000800
Training Epoch: 38 [11008/46200]	Loss: 0.1634	LR: 0.000800
Training Epoch: 38 [11264/46200]	Loss: 0.1143	LR: 0.000800
Training Epoch: 38 [11520/46200]	Loss: 0.1181	LR: 0.000800
Training Epoch: 38 [11776/46200]	Loss: 0.1116	LR: 0.000800
Training Epoch: 38 [12032/46200]	Loss: 0.1163	LR: 0.000800
Training Epoch: 38 [12288/46200]	Loss: 0.1256	LR: 0.000800
Training Epoch: 38 [12544/46200]	Loss: 0.1037	LR: 0.000800
Training Epoch: 38 [12800/46200]	Loss: 0.1400	LR: 0.000800
Training Epoch: 38 [13056/46200]	Loss: 0.1333	LR: 0.000800
Training Epoch: 38 [13312/46200]	Loss: 0.1344	LR: 0.000800
Training Epoch: 38 [13568/46200]	Loss: 0.1069	LR: 0.000800
Training Epoch: 38 [13824/46200]	Loss: 0.1401	LR: 0.000800
Training Epoch: 38 [14080/46200]	Loss: 0.0717	LR: 0.000800
Training Epoch: 38 [14336/46200]	Loss: 0.1411	LR: 0.000800
Training Epoch: 38 [14592/46200]	Loss: 0.1181	LR: 0.000800
Training Epoch: 38 [14848/46200]	Loss: 0.1182	LR: 0.000800
Training Epoch: 38 [15104/46200]	Loss: 0.1514	LR: 0.000800
Training Epoch: 38 [15360/46200]	Loss: 0.1282	LR: 0.000800
Training Epoch: 38 [15616/46200]	Loss: 0.1137	LR: 0.000800
Training Epoch: 38 [15872/46200]	Loss: 0.1116	LR: 0.000800
Training Epoch: 38 [16128/46200]	Loss: 0.1026	LR: 0.000800
Training Epoch: 38 [16384/46200]	Loss: 0.0841	LR: 0.000800
Training Epoch: 38 [16640/46200]	Loss: 0.1426	LR: 0.000800
Training Epoch: 38 [16896/46200]	Loss: 0.1438	LR: 0.000800
Training Epoch: 38 [17152/46200]	Loss: 0.0987	LR: 0.000800
Training Epoch: 38 [17408/46200]	Loss: 0.0949	LR: 0.000800
Training Epoch: 38 [17664/46200]	Loss: 0.1078	LR: 0.000800
Training Epoch: 38 [17920/46200]	Loss: 0.1131	LR: 0.000800
Training Epoch: 38 [18176/46200]	Loss: 0.1126	LR: 0.000800
Training Epoch: 38 [18432/46200]	Loss: 0.1606	LR: 0.000800
Training Epoch: 38 [18688/46200]	Loss: 0.0970	LR: 0.000800
Training Epoch: 38 [18944/46200]	Loss: 0.1133	LR: 0.000800
Training Epoch: 38 [19200/46200]	Loss: 0.1119	LR: 0.000800
Training Epoch: 38 [19456/46200]	Loss: 0.1119	LR: 0.000800
Training Epoch: 38 [19712/46200]	Loss: 0.0851	LR: 0.000800
Training Epoch: 38 [19968/46200]	Loss: 0.1121	LR: 0.000800
Training Epoch: 38 [20224/46200]	Loss: 0.1798	LR: 0.000800
Training Epoch: 38 [20480/46200]	Loss: 0.1072	LR: 0.000800
Training Epoch: 38 [20736/46200]	Loss: 0.0746	LR: 0.000800
Training Epoch: 38 [20992/46200]	Loss: 0.1153	LR: 0.000800
Training Epoch: 38 [21248/46200]	Loss: 0.1098	LR: 0.000800
Training Epoch: 38 [21504/46200]	Loss: 0.1168	LR: 0.000800
Training Epoch: 38 [21760/46200]	Loss: 0.1347	LR: 0.000800
Training Epoch: 38 [22016/46200]	Loss: 0.1124	LR: 0.000800
Training Epoch: 38 [22272/46200]	Loss: 0.1349	LR: 0.000800
Training Epoch: 38 [22528/46200]	Loss: 0.1213	LR: 0.000800
Training Epoch: 38 [22784/46200]	Loss: 0.1100	LR: 0.000800
Training Epoch: 38 [23040/46200]	Loss: 0.0801	LR: 0.000800
Training Epoch: 38 [23296/46200]	Loss: 0.1019	LR: 0.000800
Training Epoch: 38 [23552/46200]	Loss: 0.0819	LR: 0.000800
Training Epoch: 38 [23808/46200]	Loss: 0.1092	LR: 0.000800
Training Epoch: 38 [24064/46200]	Loss: 0.0887	LR: 0.000800
Training Epoch: 38 [24320/46200]	Loss: 0.1406	LR: 0.000800
Training Epoch: 38 [24576/46200]	Loss: 0.1131	LR: 0.000800
Training Epoch: 38 [24832/46200]	Loss: 0.1159	LR: 0.000800
Training Epoch: 38 [25088/46200]	Loss: 0.1180	LR: 0.000800
Training Epoch: 38 [25344/46200]	Loss: 0.0922	LR: 0.000800
Training Epoch: 38 [25600/46200]	Loss: 0.1042	LR: 0.000800
Training Epoch: 38 [25856/46200]	Loss: 0.0870	LR: 0.000800
Training Epoch: 38 [26112/46200]	Loss: 0.0953	LR: 0.000800
Training Epoch: 38 [26368/46200]	Loss: 0.0786	LR: 0.000800
Training Epoch: 38 [26624/46200]	Loss: 0.1236	LR: 0.000800
Training Epoch: 38 [26880/46200]	Loss: 0.1607	LR: 0.000800
Training Epoch: 38 [27136/46200]	Loss: 0.1006	LR: 0.000800
Training Epoch: 38 [27392/46200]	Loss: 0.1204	LR: 0.000800
Training Epoch: 38 [27648/46200]	Loss: 0.0709	LR: 0.000800
Training Epoch: 38 [27904/46200]	Loss: 0.0999	LR: 0.000800
Training Epoch: 38 [28160/46200]	Loss: 0.1277	LR: 0.000800
Training Epoch: 38 [28416/46200]	Loss: 0.1009	LR: 0.000800
Training Epoch: 38 [28672/46200]	Loss: 0.0934	LR: 0.000800
Training Epoch: 38 [28928/46200]	Loss: 0.0814	LR: 0.000800
Training Epoch: 38 [29184/46200]	Loss: 0.0819	LR: 0.000800
Training Epoch: 38 [29440/46200]	Loss: 0.1717	LR: 0.000800
Training Epoch: 38 [29696/46200]	Loss: 0.1086	LR: 0.000800
Training Epoch: 38 [29952/46200]	Loss: 0.1185	LR: 0.000800
Training Epoch: 38 [30208/46200]	Loss: 0.1120	LR: 0.000800
Training Epoch: 38 [30464/46200]	Loss: 0.1277	LR: 0.000800
Training Epoch: 38 [30720/46200]	Loss: 0.0959	LR: 0.000800
Training Epoch: 38 [30976/46200]	Loss: 0.1122	LR: 0.000800
Training Epoch: 38 [31232/46200]	Loss: 0.0950	LR: 0.000800
Training Epoch: 38 [31488/46200]	Loss: 0.1158	LR: 0.000800
Training Epoch: 38 [31744/46200]	Loss: 0.1081	LR: 0.000800
Training Epoch: 38 [32000/46200]	Loss: 0.1342	LR: 0.000800
Training Epoch: 38 [32256/46200]	Loss: 0.1160	LR: 0.000800
Training Epoch: 38 [32512/46200]	Loss: 0.0897	LR: 0.000800
Training Epoch: 38 [32768/46200]	Loss: 0.1552	LR: 0.000800
Training Epoch: 38 [33024/46200]	Loss: 0.1281	LR: 0.000800
Training Epoch: 38 [33280/46200]	Loss: 0.1474	LR: 0.000800
Training Epoch: 38 [33536/46200]	Loss: 0.1171	LR: 0.000800
Training Epoch: 38 [33792/46200]	Loss: 0.1051	LR: 0.000800
Training Epoch: 38 [34048/46200]	Loss: 0.0965	LR: 0.000800
Training Epoch: 38 [34304/46200]	Loss: 0.1335	LR: 0.000800
Training Epoch: 38 [34560/46200]	Loss: 0.1141	LR: 0.000800
Training Epoch: 38 [34816/46200]	Loss: 0.1343	LR: 0.000800
Training Epoch: 38 [35072/46200]	Loss: 0.0944	LR: 0.000800
Training Epoch: 38 [35328/46200]	Loss: 0.0915	LR: 0.000800
Training Epoch: 38 [35584/46200]	Loss: 0.0727	LR: 0.000800
Training Epoch: 38 [35840/46200]	Loss: 0.0816	LR: 0.000800
Training Epoch: 38 [36096/46200]	Loss: 0.1520	LR: 0.000800
Training Epoch: 38 [36352/46200]	Loss: 0.1324	LR: 0.000800
Training Epoch: 38 [36608/46200]	Loss: 0.0725	LR: 0.000800
Training Epoch: 38 [36864/46200]	Loss: 0.1181	LR: 0.000800
Training Epoch: 38 [37120/46200]	Loss: 0.1025	LR: 0.000800
Training Epoch: 38 [37376/46200]	Loss: 0.1187	LR: 0.000800
Training Epoch: 38 [37632/46200]	Loss: 0.0977	LR: 0.000800
Training Epoch: 38 [37888/46200]	Loss: 0.1527	LR: 0.000800
Training Epoch: 38 [38144/46200]	Loss: 0.1281	LR: 0.000800
Training Epoch: 38 [38400/46200]	Loss: 0.1238	LR: 0.000800
Training Epoch: 38 [38656/46200]	Loss: 0.1410	LR: 0.000800
Training Epoch: 38 [38912/46200]	Loss: 0.0763	LR: 0.000800
Training Epoch: 38 [39168/46200]	Loss: 0.0864	LR: 0.000800
Training Epoch: 38 [39424/46200]	Loss: 0.1111	LR: 0.000800
Training Epoch: 38 [39680/46200]	Loss: 0.0712	LR: 0.000800
Training Epoch: 38 [39936/46200]	Loss: 0.0944	LR: 0.000800
Training Epoch: 38 [40192/46200]	Loss: 0.0823	LR: 0.000800
Training Epoch: 38 [40448/46200]	Loss: 0.0944	LR: 0.000800
Training Epoch: 38 [40704/46200]	Loss: 0.1217	LR: 0.000800
Training Epoch: 38 [40960/46200]	Loss: 0.0975	LR: 0.000800
Training Epoch: 38 [41216/46200]	Loss: 0.0909	LR: 0.000800
Training Epoch: 38 [41472/46200]	Loss: 0.0943	LR: 0.000800
Training Epoch: 38 [41728/46200]	Loss: 0.1063	LR: 0.000800
Training Epoch: 38 [41984/46200]	Loss: 0.0872	LR: 0.000800
Training Epoch: 38 [42240/46200]	Loss: 0.1045	LR: 0.000800
Training Epoch: 38 [42496/46200]	Loss: 0.1456	LR: 0.000800
Training Epoch: 38 [42752/46200]	Loss: 0.0646	LR: 0.000800
Training Epoch: 38 [43008/46200]	Loss: 0.0899	LR: 0.000800
Training Epoch: 38 [43264/46200]	Loss: 0.0972	LR: 0.000800
Training Epoch: 38 [43520/46200]	Loss: 0.1601	LR: 0.000800
Training Epoch: 38 [43776/46200]	Loss: 0.1238	LR: 0.000800
Training Epoch: 38 [44032/46200]	Loss: 0.1226	LR: 0.000800
Training Epoch: 38 [44288/46200]	Loss: 0.1280	LR: 0.000800
Training Epoch: 38 [44544/46200]	Loss: 0.0900	LR: 0.000800
Training Epoch: 38 [44800/46200]	Loss: 0.1069	LR: 0.000800
Training Epoch: 38 [45056/46200]	Loss: 0.0999	LR: 0.000800
Training Epoch: 38 [45312/46200]	Loss: 0.1077	LR: 0.000800
Training Epoch: 38 [45568/46200]	Loss: 0.1063	LR: 0.000800
Training Epoch: 38 [45824/46200]	Loss: 0.1143	LR: 0.000800
Training Epoch: 38 [46080/46200]	Loss: 0.0893	LR: 0.000800
Training Epoch: 38 [46200/46200]	Loss: 0.1431	LR: 0.000800
Epoch 38 - Average Train Loss: 0.1119, Train Accuracy: 0.9683
Epoch 38 training time consumed: 27.85s
Evaluating Network.....
Test set: Epoch: 38, Average loss: 0.0028, Accuracy: 0.8090, Time consumed:0.96s
Training Epoch: 39 [256/46200]	Loss: 0.0884	LR: 0.000800
Training Epoch: 39 [512/46200]	Loss: 0.1132	LR: 0.000800
Training Epoch: 39 [768/46200]	Loss: 0.1105	LR: 0.000800
Training Epoch: 39 [1024/46200]	Loss: 0.0909	LR: 0.000800
Training Epoch: 39 [1280/46200]	Loss: 0.1331	LR: 0.000800
Training Epoch: 39 [1536/46200]	Loss: 0.1288	LR: 0.000800
Training Epoch: 39 [1792/46200]	Loss: 0.0943	LR: 0.000800
Training Epoch: 39 [2048/46200]	Loss: 0.1173	LR: 0.000800
Training Epoch: 39 [2304/46200]	Loss: 0.1068	LR: 0.000800
Training Epoch: 39 [2560/46200]	Loss: 0.1393	LR: 0.000800
Training Epoch: 39 [2816/46200]	Loss: 0.1395	LR: 0.000800
Training Epoch: 39 [3072/46200]	Loss: 0.1283	LR: 0.000800
Training Epoch: 39 [3328/46200]	Loss: 0.1085	LR: 0.000800
Training Epoch: 39 [3584/46200]	Loss: 0.1033	LR: 0.000800
Training Epoch: 39 [3840/46200]	Loss: 0.1167	LR: 0.000800
Training Epoch: 39 [4096/46200]	Loss: 0.1431	LR: 0.000800
Training Epoch: 39 [4352/46200]	Loss: 0.0830	LR: 0.000800
Training Epoch: 39 [4608/46200]	Loss: 0.1071	LR: 0.000800
Training Epoch: 39 [4864/46200]	Loss: 0.1444	LR: 0.000800
Training Epoch: 39 [5120/46200]	Loss: 0.1178	LR: 0.000800
Training Epoch: 39 [5376/46200]	Loss: 0.0833	LR: 0.000800
Training Epoch: 39 [5632/46200]	Loss: 0.0799	LR: 0.000800
Training Epoch: 39 [5888/46200]	Loss: 0.1026	LR: 0.000800
Training Epoch: 39 [6144/46200]	Loss: 0.0888	LR: 0.000800
Training Epoch: 39 [6400/46200]	Loss: 0.1208	LR: 0.000800
Training Epoch: 39 [6656/46200]	Loss: 0.1049	LR: 0.000800
Training Epoch: 39 [6912/46200]	Loss: 0.1066	LR: 0.000800
Training Epoch: 39 [7168/46200]	Loss: 0.0687	LR: 0.000800
Training Epoch: 39 [7424/46200]	Loss: 0.0850	LR: 0.000800
Training Epoch: 39 [7680/46200]	Loss: 0.1152	LR: 0.000800
Training Epoch: 39 [7936/46200]	Loss: 0.1051	LR: 0.000800
Training Epoch: 39 [8192/46200]	Loss: 0.0937	LR: 0.000800
Training Epoch: 39 [8448/46200]	Loss: 0.0958	LR: 0.000800
Training Epoch: 39 [8704/46200]	Loss: 0.0977	LR: 0.000800
Training Epoch: 39 [8960/46200]	Loss: 0.0655	LR: 0.000800
Training Epoch: 39 [9216/46200]	Loss: 0.1514	LR: 0.000800
Training Epoch: 39 [9472/46200]	Loss: 0.1124	LR: 0.000800
Training Epoch: 39 [9728/46200]	Loss: 0.1289	LR: 0.000800
Training Epoch: 39 [9984/46200]	Loss: 0.0861	LR: 0.000800
Training Epoch: 39 [10240/46200]	Loss: 0.1746	LR: 0.000800
Training Epoch: 39 [10496/46200]	Loss: 0.1144	LR: 0.000800
Training Epoch: 39 [10752/46200]	Loss: 0.1371	LR: 0.000800
Training Epoch: 39 [11008/46200]	Loss: 0.1127	LR: 0.000800
Training Epoch: 39 [11264/46200]	Loss: 0.1160	LR: 0.000800
Training Epoch: 39 [11520/46200]	Loss: 0.1043	LR: 0.000800
Training Epoch: 39 [11776/46200]	Loss: 0.0813	LR: 0.000800
Training Epoch: 39 [12032/46200]	Loss: 0.0950	LR: 0.000800
Training Epoch: 39 [12288/46200]	Loss: 0.0751	LR: 0.000800
Training Epoch: 39 [12544/46200]	Loss: 0.1162	LR: 0.000800
Training Epoch: 39 [12800/46200]	Loss: 0.0738	LR: 0.000800
Training Epoch: 39 [13056/46200]	Loss: 0.1143	LR: 0.000800
Training Epoch: 39 [13312/46200]	Loss: 0.1558	LR: 0.000800
Training Epoch: 39 [13568/46200]	Loss: 0.1010	LR: 0.000800
Training Epoch: 39 [13824/46200]	Loss: 0.1094	LR: 0.000800
Training Epoch: 39 [14080/46200]	Loss: 0.1072	LR: 0.000800
Training Epoch: 39 [14336/46200]	Loss: 0.1316	LR: 0.000800
Training Epoch: 39 [14592/46200]	Loss: 0.1087	LR: 0.000800
Training Epoch: 39 [14848/46200]	Loss: 0.1225	LR: 0.000800
Training Epoch: 39 [15104/46200]	Loss: 0.1423	LR: 0.000800
Training Epoch: 39 [15360/46200]	Loss: 0.1163	LR: 0.000800
Training Epoch: 39 [15616/46200]	Loss: 0.0829	LR: 0.000800
Training Epoch: 39 [15872/46200]	Loss: 0.0817	LR: 0.000800
Training Epoch: 39 [16128/46200]	Loss: 0.1411	LR: 0.000800
Training Epoch: 39 [16384/46200]	Loss: 0.0783	LR: 0.000800
Training Epoch: 39 [16640/46200]	Loss: 0.0923	LR: 0.000800
Training Epoch: 39 [16896/46200]	Loss: 0.1584	LR: 0.000800
Training Epoch: 39 [17152/46200]	Loss: 0.0762	LR: 0.000800
Training Epoch: 39 [17408/46200]	Loss: 0.0997	LR: 0.000800
Training Epoch: 39 [17664/46200]	Loss: 0.1011	LR: 0.000800
Training Epoch: 39 [17920/46200]	Loss: 0.1346	LR: 0.000800
Training Epoch: 39 [18176/46200]	Loss: 0.1105	LR: 0.000800
Training Epoch: 39 [18432/46200]	Loss: 0.0968	LR: 0.000800
Training Epoch: 39 [18688/46200]	Loss: 0.1609	LR: 0.000800
Training Epoch: 39 [18944/46200]	Loss: 0.0923	LR: 0.000800
Training Epoch: 39 [19200/46200]	Loss: 0.1322	LR: 0.000800
Training Epoch: 39 [19456/46200]	Loss: 0.0726	LR: 0.000800
Training Epoch: 39 [19712/46200]	Loss: 0.0733	LR: 0.000800
Training Epoch: 39 [19968/46200]	Loss: 0.0869	LR: 0.000800
Training Epoch: 39 [20224/46200]	Loss: 0.0831	LR: 0.000800
Training Epoch: 39 [20480/46200]	Loss: 0.1432	LR: 0.000800
Training Epoch: 39 [20736/46200]	Loss: 0.1085	LR: 0.000800
Training Epoch: 39 [20992/46200]	Loss: 0.1010	LR: 0.000800
Training Epoch: 39 [21248/46200]	Loss: 0.1144	LR: 0.000800
Training Epoch: 39 [21504/46200]	Loss: 0.1051	LR: 0.000800
Training Epoch: 39 [21760/46200]	Loss: 0.1405	LR: 0.000800
Training Epoch: 39 [22016/46200]	Loss: 0.1209	LR: 0.000800
Training Epoch: 39 [22272/46200]	Loss: 0.1143	LR: 0.000800
Training Epoch: 39 [22528/46200]	Loss: 0.1312	LR: 0.000800
Training Epoch: 39 [22784/46200]	Loss: 0.1540	LR: 0.000800
Training Epoch: 39 [23040/46200]	Loss: 0.1489	LR: 0.000800
Training Epoch: 39 [23296/46200]	Loss: 0.1135	LR: 0.000800
Training Epoch: 39 [23552/46200]	Loss: 0.1090	LR: 0.000800
Training Epoch: 39 [23808/46200]	Loss: 0.1043	LR: 0.000800
Training Epoch: 39 [24064/46200]	Loss: 0.1361	LR: 0.000800
Training Epoch: 39 [24320/46200]	Loss: 0.0947	LR: 0.000800
Training Epoch: 39 [24576/46200]	Loss: 0.1476	LR: 0.000800
Training Epoch: 39 [24832/46200]	Loss: 0.0722	LR: 0.000800
Training Epoch: 39 [25088/46200]	Loss: 0.0987	LR: 0.000800
Training Epoch: 39 [25344/46200]	Loss: 0.0819	LR: 0.000800
Training Epoch: 39 [25600/46200]	Loss: 0.1459	LR: 0.000800
Training Epoch: 39 [25856/46200]	Loss: 0.0941	LR: 0.000800
Training Epoch: 39 [26112/46200]	Loss: 0.1256	LR: 0.000800
Training Epoch: 39 [26368/46200]	Loss: 0.1089	LR: 0.000800
Training Epoch: 39 [26624/46200]	Loss: 0.1278	LR: 0.000800
Training Epoch: 39 [26880/46200]	Loss: 0.1281	LR: 0.000800
Training Epoch: 39 [27136/46200]	Loss: 0.1195	LR: 0.000800
Training Epoch: 39 [27392/46200]	Loss: 0.0989	LR: 0.000800
Training Epoch: 39 [27648/46200]	Loss: 0.0986	LR: 0.000800
Training Epoch: 39 [27904/46200]	Loss: 0.1484	LR: 0.000800
Training Epoch: 39 [28160/46200]	Loss: 0.1258	LR: 0.000800
Training Epoch: 39 [28416/46200]	Loss: 0.0948	LR: 0.000800
Training Epoch: 39 [28672/46200]	Loss: 0.1210	LR: 0.000800
Training Epoch: 39 [28928/46200]	Loss: 0.1191	LR: 0.000800
Training Epoch: 39 [29184/46200]	Loss: 0.1255	LR: 0.000800
Training Epoch: 39 [29440/46200]	Loss: 0.0857	LR: 0.000800
Training Epoch: 39 [29696/46200]	Loss: 0.1536	LR: 0.000800
Training Epoch: 39 [29952/46200]	Loss: 0.0805	LR: 0.000800
Training Epoch: 39 [30208/46200]	Loss: 0.1044	LR: 0.000800
Training Epoch: 39 [30464/46200]	Loss: 0.1089	LR: 0.000800
Training Epoch: 39 [30720/46200]	Loss: 0.1363	LR: 0.000800
Training Epoch: 39 [30976/46200]	Loss: 0.1099	LR: 0.000800
Training Epoch: 39 [31232/46200]	Loss: 0.0971	LR: 0.000800
Training Epoch: 39 [31488/46200]	Loss: 0.0857	LR: 0.000800
Training Epoch: 39 [31744/46200]	Loss: 0.0834	LR: 0.000800
Training Epoch: 39 [32000/46200]	Loss: 0.0967	LR: 0.000800
Training Epoch: 39 [32256/46200]	Loss: 0.0815	LR: 0.000800
Training Epoch: 39 [32512/46200]	Loss: 0.1567	LR: 0.000800
Training Epoch: 39 [32768/46200]	Loss: 0.1218	LR: 0.000800
Training Epoch: 39 [33024/46200]	Loss: 0.0994	LR: 0.000800
Training Epoch: 39 [33280/46200]	Loss: 0.1037	LR: 0.000800
Training Epoch: 39 [33536/46200]	Loss: 0.0909	LR: 0.000800
Training Epoch: 39 [33792/46200]	Loss: 0.0922	LR: 0.000800
Training Epoch: 39 [34048/46200]	Loss: 0.1156	LR: 0.000800
Training Epoch: 39 [34304/46200]	Loss: 0.1080	LR: 0.000800
Training Epoch: 39 [34560/46200]	Loss: 0.1174	LR: 0.000800
Training Epoch: 39 [34816/46200]	Loss: 0.1191	LR: 0.000800
Training Epoch: 39 [35072/46200]	Loss: 0.1623	LR: 0.000800
Training Epoch: 39 [35328/46200]	Loss: 0.0983	LR: 0.000800
Training Epoch: 39 [35584/46200]	Loss: 0.1485	LR: 0.000800
Training Epoch: 39 [35840/46200]	Loss: 0.1036	LR: 0.000800
Training Epoch: 39 [36096/46200]	Loss: 0.0801	LR: 0.000800
Training Epoch: 39 [36352/46200]	Loss: 0.1180	LR: 0.000800
Training Epoch: 39 [36608/46200]	Loss: 0.0971	LR: 0.000800
Training Epoch: 39 [36864/46200]	Loss: 0.1519	LR: 0.000800
Training Epoch: 39 [37120/46200]	Loss: 0.1529	LR: 0.000800
Training Epoch: 39 [37376/46200]	Loss: 0.0984	LR: 0.000800
Training Epoch: 39 [37632/46200]	Loss: 0.0961	LR: 0.000800
Training Epoch: 39 [37888/46200]	Loss: 0.1444	LR: 0.000800
Training Epoch: 39 [38144/46200]	Loss: 0.1073	LR: 0.000800
Training Epoch: 39 [38400/46200]	Loss: 0.1546	LR: 0.000800
Training Epoch: 39 [38656/46200]	Loss: 0.1062	LR: 0.000800
Training Epoch: 39 [38912/46200]	Loss: 0.1312	LR: 0.000800
Training Epoch: 39 [39168/46200]	Loss: 0.1093	LR: 0.000800
Training Epoch: 39 [39424/46200]	Loss: 0.1305	LR: 0.000800
Training Epoch: 39 [39680/46200]	Loss: 0.1401	LR: 0.000800
Training Epoch: 39 [39936/46200]	Loss: 0.1030	LR: 0.000800
Training Epoch: 39 [40192/46200]	Loss: 0.0992	LR: 0.000800
Training Epoch: 39 [40448/46200]	Loss: 0.1252	LR: 0.000800
Training Epoch: 39 [40704/46200]	Loss: 0.1297	LR: 0.000800
Training Epoch: 39 [40960/46200]	Loss: 0.1313	LR: 0.000800
Training Epoch: 39 [41216/46200]	Loss: 0.1067	LR: 0.000800
Training Epoch: 39 [41472/46200]	Loss: 0.1342	LR: 0.000800
Training Epoch: 39 [41728/46200]	Loss: 0.1073	LR: 0.000800
Training Epoch: 39 [41984/46200]	Loss: 0.1169	LR: 0.000800
Training Epoch: 39 [42240/46200]	Loss: 0.1155	LR: 0.000800
Training Epoch: 39 [42496/46200]	Loss: 0.0874	LR: 0.000800
Training Epoch: 39 [42752/46200]	Loss: 0.1545	LR: 0.000800
Training Epoch: 39 [43008/46200]	Loss: 0.1181	LR: 0.000800
Training Epoch: 39 [43264/46200]	Loss: 0.1120	LR: 0.000800
Training Epoch: 39 [43520/46200]	Loss: 0.1123	LR: 0.000800
Training Epoch: 39 [43776/46200]	Loss: 0.1333	LR: 0.000800
Training Epoch: 39 [44032/46200]	Loss: 0.1043	LR: 0.000800
Training Epoch: 39 [44288/46200]	Loss: 0.0832	LR: 0.000800
Training Epoch: 39 [44544/46200]	Loss: 0.1382	LR: 0.000800
Training Epoch: 39 [44800/46200]	Loss: 0.1219	LR: 0.000800
Training Epoch: 39 [45056/46200]	Loss: 0.1168	LR: 0.000800
Training Epoch: 39 [45312/46200]	Loss: 0.1304	LR: 0.000800
Training Epoch: 39 [45568/46200]	Loss: 0.1113	LR: 0.000800
Training Epoch: 39 [45824/46200]	Loss: 0.1000	LR: 0.000800
Training Epoch: 39 [46080/46200]	Loss: 0.1216	LR: 0.000800
Training Epoch: 39 [46200/46200]	Loss: 0.0658	LR: 0.000800
Epoch 39 - Average Train Loss: 0.1126, Train Accuracy: 0.9664
Epoch 39 training time consumed: 27.89s
Evaluating Network.....
Test set: Epoch: 39, Average loss: 0.0028, Accuracy: 0.8088, Time consumed:0.93s
Training Epoch: 40 [256/46200]	Loss: 0.1063	LR: 0.000800
Training Epoch: 40 [512/46200]	Loss: 0.1322	LR: 0.000800
Training Epoch: 40 [768/46200]	Loss: 0.0592	LR: 0.000800
Training Epoch: 40 [1024/46200]	Loss: 0.1292	LR: 0.000800
Training Epoch: 40 [1280/46200]	Loss: 0.1022	LR: 0.000800
Training Epoch: 40 [1536/46200]	Loss: 0.1269	LR: 0.000800
Training Epoch: 40 [1792/46200]	Loss: 0.0754	LR: 0.000800
Training Epoch: 40 [2048/46200]	Loss: 0.1178	LR: 0.000800
Training Epoch: 40 [2304/46200]	Loss: 0.1061	LR: 0.000800
Training Epoch: 40 [2560/46200]	Loss: 0.0833	LR: 0.000800
Training Epoch: 40 [2816/46200]	Loss: 0.1055	LR: 0.000800
Training Epoch: 40 [3072/46200]	Loss: 0.1153	LR: 0.000800
Training Epoch: 40 [3328/46200]	Loss: 0.1174	LR: 0.000800
Training Epoch: 40 [3584/46200]	Loss: 0.0792	LR: 0.000800
Training Epoch: 40 [3840/46200]	Loss: 0.1181	LR: 0.000800
Training Epoch: 40 [4096/46200]	Loss: 0.1156	LR: 0.000800
Training Epoch: 40 [4352/46200]	Loss: 0.0990	LR: 0.000800
Training Epoch: 40 [4608/46200]	Loss: 0.0875	LR: 0.000800
Training Epoch: 40 [4864/46200]	Loss: 0.0834	LR: 0.000800
Training Epoch: 40 [5120/46200]	Loss: 0.1120	LR: 0.000800
Training Epoch: 40 [5376/46200]	Loss: 0.1084	LR: 0.000800
Training Epoch: 40 [5632/46200]	Loss: 0.1096	LR: 0.000800
Training Epoch: 40 [5888/46200]	Loss: 0.1552	LR: 0.000800
Training Epoch: 40 [6144/46200]	Loss: 0.0778	LR: 0.000800
Training Epoch: 40 [6400/46200]	Loss: 0.1237	LR: 0.000800
Training Epoch: 40 [6656/46200]	Loss: 0.1324	LR: 0.000800
Training Epoch: 40 [6912/46200]	Loss: 0.1249	LR: 0.000800
Training Epoch: 40 [7168/46200]	Loss: 0.0770	LR: 0.000800
Training Epoch: 40 [7424/46200]	Loss: 0.0672	LR: 0.000800
Training Epoch: 40 [7680/46200]	Loss: 0.0923	LR: 0.000800
Training Epoch: 40 [7936/46200]	Loss: 0.1277	LR: 0.000800
Training Epoch: 40 [8192/46200]	Loss: 0.0720	LR: 0.000800
Training Epoch: 40 [8448/46200]	Loss: 0.0962	LR: 0.000800
Training Epoch: 40 [8704/46200]	Loss: 0.1250	LR: 0.000800
Training Epoch: 40 [8960/46200]	Loss: 0.1073	LR: 0.000800
Training Epoch: 40 [9216/46200]	Loss: 0.1017	LR: 0.000800
Training Epoch: 40 [9472/46200]	Loss: 0.0988	LR: 0.000800
Training Epoch: 40 [9728/46200]	Loss: 0.0972	LR: 0.000800
Training Epoch: 40 [9984/46200]	Loss: 0.1115	LR: 0.000800
Training Epoch: 40 [10240/46200]	Loss: 0.1149	LR: 0.000800
Training Epoch: 40 [10496/46200]	Loss: 0.0870	LR: 0.000800
Training Epoch: 40 [10752/46200]	Loss: 0.1048	LR: 0.000800
Training Epoch: 40 [11008/46200]	Loss: 0.1314	LR: 0.000800
Training Epoch: 40 [11264/46200]	Loss: 0.1333	LR: 0.000800
Training Epoch: 40 [11520/46200]	Loss: 0.1122	LR: 0.000800
Training Epoch: 40 [11776/46200]	Loss: 0.0893	LR: 0.000800
Training Epoch: 40 [12032/46200]	Loss: 0.1031	LR: 0.000800
Training Epoch: 40 [12288/46200]	Loss: 0.1614	LR: 0.000800
Training Epoch: 40 [12544/46200]	Loss: 0.0916	LR: 0.000800
Training Epoch: 40 [12800/46200]	Loss: 0.1234	LR: 0.000800
Training Epoch: 40 [13056/46200]	Loss: 0.1517	LR: 0.000800
Training Epoch: 40 [13312/46200]	Loss: 0.0726	LR: 0.000800
Training Epoch: 40 [13568/46200]	Loss: 0.1239	LR: 0.000800
Training Epoch: 40 [13824/46200]	Loss: 0.0917	LR: 0.000800
Training Epoch: 40 [14080/46200]	Loss: 0.1007	LR: 0.000800
Training Epoch: 40 [14336/46200]	Loss: 0.1505	LR: 0.000800
Training Epoch: 40 [14592/46200]	Loss: 0.1042	LR: 0.000800
Training Epoch: 40 [14848/46200]	Loss: 0.1024	LR: 0.000800
Training Epoch: 40 [15104/46200]	Loss: 0.0852	LR: 0.000800
Training Epoch: 40 [15360/46200]	Loss: 0.1104	LR: 0.000800
Training Epoch: 40 [15616/46200]	Loss: 0.1091	LR: 0.000800
Training Epoch: 40 [15872/46200]	Loss: 0.1178	LR: 0.000800
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Training Epoch: 40 [16896/46200]	Loss: 0.1535	LR: 0.000800
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Training Epoch: 40 [17408/46200]	Loss: 0.0813	LR: 0.000800
Training Epoch: 40 [17664/46200]	Loss: 0.1045	LR: 0.000800
Training Epoch: 40 [17920/46200]	Loss: 0.0978	LR: 0.000800
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Training Epoch: 40 [18688/46200]	Loss: 0.0793	LR: 0.000800
Training Epoch: 40 [18944/46200]	Loss: 0.0786	LR: 0.000800
Training Epoch: 40 [19200/46200]	Loss: 0.0863	LR: 0.000800
Training Epoch: 40 [19456/46200]	Loss: 0.1283	LR: 0.000800
Training Epoch: 40 [19712/46200]	Loss: 0.0864	LR: 0.000800
Training Epoch: 40 [19968/46200]	Loss: 0.1106	LR: 0.000800
Training Epoch: 40 [20224/46200]	Loss: 0.1454	LR: 0.000800
Training Epoch: 40 [20480/46200]	Loss: 0.1475	LR: 0.000800
Training Epoch: 40 [20736/46200]	Loss: 0.0942	LR: 0.000800
Training Epoch: 40 [20992/46200]	Loss: 0.0902	LR: 0.000800
Training Epoch: 40 [21248/46200]	Loss: 0.1295	LR: 0.000800
Training Epoch: 40 [21504/46200]	Loss: 0.1144	LR: 0.000800
Training Epoch: 40 [21760/46200]	Loss: 0.1220	LR: 0.000800
Training Epoch: 40 [22016/46200]	Loss: 0.1005	LR: 0.000800
Training Epoch: 40 [22272/46200]	Loss: 0.0824	LR: 0.000800
Training Epoch: 40 [22528/46200]	Loss: 0.0882	LR: 0.000800
Training Epoch: 40 [22784/46200]	Loss: 0.0729	LR: 0.000800
Training Epoch: 40 [23040/46200]	Loss: 0.1105	LR: 0.000800
Training Epoch: 40 [23296/46200]	Loss: 0.1175	LR: 0.000800
Training Epoch: 40 [23552/46200]	Loss: 0.1044	LR: 0.000800
Training Epoch: 40 [23808/46200]	Loss: 0.1158	LR: 0.000800
Training Epoch: 40 [24064/46200]	Loss: 0.0991	LR: 0.000800
Training Epoch: 40 [24320/46200]	Loss: 0.1165	LR: 0.000800
Training Epoch: 40 [24576/46200]	Loss: 0.0820	LR: 0.000800
Training Epoch: 40 [24832/46200]	Loss: 0.1129	LR: 0.000800
Training Epoch: 40 [25088/46200]	Loss: 0.1138	LR: 0.000800
Training Epoch: 40 [25344/46200]	Loss: 0.0871	LR: 0.000800
Training Epoch: 40 [25600/46200]	Loss: 0.0846	LR: 0.000800
Training Epoch: 40 [25856/46200]	Loss: 0.1026	LR: 0.000800
Training Epoch: 40 [26112/46200]	Loss: 0.0906	LR: 0.000800
Training Epoch: 40 [26368/46200]	Loss: 0.0948	LR: 0.000800
Training Epoch: 40 [26624/46200]	Loss: 0.1359	LR: 0.000800
Training Epoch: 40 [26880/46200]	Loss: 0.0847	LR: 0.000800
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Training Epoch: 40 [27392/46200]	Loss: 0.1108	LR: 0.000800
Training Epoch: 40 [27648/46200]	Loss: 0.0858	LR: 0.000800
Training Epoch: 40 [27904/46200]	Loss: 0.1111	LR: 0.000800
Training Epoch: 40 [28160/46200]	Loss: 0.1394	LR: 0.000800
Training Epoch: 40 [28416/46200]	Loss: 0.0897	LR: 0.000800
Training Epoch: 40 [28672/46200]	Loss: 0.1261	LR: 0.000800
Training Epoch: 40 [28928/46200]	Loss: 0.0983	LR: 0.000800
Training Epoch: 40 [29184/46200]	Loss: 0.1094	LR: 0.000800
Training Epoch: 40 [29440/46200]	Loss: 0.0995	LR: 0.000800
Training Epoch: 40 [29696/46200]	Loss: 0.1027	LR: 0.000800
Training Epoch: 40 [29952/46200]	Loss: 0.1041	LR: 0.000800
Training Epoch: 40 [30208/46200]	Loss: 0.0963	LR: 0.000800
Training Epoch: 40 [30464/46200]	Loss: 0.1830	LR: 0.000800
Training Epoch: 40 [30720/46200]	Loss: 0.1184	LR: 0.000800
Training Epoch: 40 [30976/46200]	Loss: 0.0737	LR: 0.000800
Training Epoch: 40 [31232/46200]	Loss: 0.1478	LR: 0.000800
Training Epoch: 40 [31488/46200]	Loss: 0.1360	LR: 0.000800
Training Epoch: 40 [31744/46200]	Loss: 0.1033	LR: 0.000800
Training Epoch: 40 [32000/46200]	Loss: 0.1280	LR: 0.000800
Training Epoch: 40 [32256/46200]	Loss: 0.1198	LR: 0.000800
Training Epoch: 40 [32512/46200]	Loss: 0.0969	LR: 0.000800
Training Epoch: 40 [32768/46200]	Loss: 0.0961	LR: 0.000800
Training Epoch: 40 [33024/46200]	Loss: 0.0844	LR: 0.000800
Training Epoch: 40 [33280/46200]	Loss: 0.0910	LR: 0.000800
Training Epoch: 40 [33536/46200]	Loss: 0.1249	LR: 0.000800
Training Epoch: 40 [33792/46200]	Loss: 0.0864	LR: 0.000800
Training Epoch: 40 [34048/46200]	Loss: 0.1073	LR: 0.000800
Training Epoch: 40 [34304/46200]	Loss: 0.0920	LR: 0.000800
Training Epoch: 40 [34560/46200]	Loss: 0.1086	LR: 0.000800
Training Epoch: 40 [34816/46200]	Loss: 0.1107	LR: 0.000800
Training Epoch: 40 [35072/46200]	Loss: 0.1133	LR: 0.000800
Training Epoch: 40 [35328/46200]	Loss: 0.1286	LR: 0.000800
Training Epoch: 40 [35584/46200]	Loss: 0.1028	LR: 0.000800
Training Epoch: 40 [35840/46200]	Loss: 0.0878	LR: 0.000800
Training Epoch: 40 [36096/46200]	Loss: 0.1020	LR: 0.000800
Training Epoch: 40 [36352/46200]	Loss: 0.1045	LR: 0.000800
Training Epoch: 40 [36608/46200]	Loss: 0.1638	LR: 0.000800
Training Epoch: 40 [36864/46200]	Loss: 0.0923	LR: 0.000800
Training Epoch: 40 [37120/46200]	Loss: 0.1058	LR: 0.000800
Training Epoch: 40 [37376/46200]	Loss: 0.0900	LR: 0.000800
Training Epoch: 40 [37632/46200]	Loss: 0.1365	LR: 0.000800
Training Epoch: 40 [37888/46200]	Loss: 0.1059	LR: 0.000800
Training Epoch: 40 [38144/46200]	Loss: 0.1066	LR: 0.000800
Training Epoch: 40 [38400/46200]	Loss: 0.0672	LR: 0.000800
Training Epoch: 40 [38656/46200]	Loss: 0.0749	LR: 0.000800
Training Epoch: 40 [38912/46200]	Loss: 0.0774	LR: 0.000800
Training Epoch: 40 [39168/46200]	Loss: 0.0984	LR: 0.000800
Training Epoch: 40 [39424/46200]	Loss: 0.1206	LR: 0.000800
Training Epoch: 40 [39680/46200]	Loss: 0.0985	LR: 0.000800
Training Epoch: 40 [39936/46200]	Loss: 0.1081	LR: 0.000800
Training Epoch: 40 [40192/46200]	Loss: 0.0956	LR: 0.000800
Training Epoch: 40 [40448/46200]	Loss: 0.0812	LR: 0.000800
Training Epoch: 40 [40704/46200]	Loss: 0.0837	LR: 0.000800
Training Epoch: 40 [40960/46200]	Loss: 0.1109	LR: 0.000800
Training Epoch: 40 [41216/46200]	Loss: 0.1251	LR: 0.000800
Training Epoch: 40 [41472/46200]	Loss: 0.1504	LR: 0.000800
Training Epoch: 40 [41728/46200]	Loss: 0.1182	LR: 0.000800
Training Epoch: 40 [41984/46200]	Loss: 0.1014	LR: 0.000800
Training Epoch: 40 [42240/46200]	Loss: 0.1081	LR: 0.000800
Training Epoch: 40 [42496/46200]	Loss: 0.0882	LR: 0.000800
Training Epoch: 40 [42752/46200]	Loss: 0.1147	LR: 0.000800
Training Epoch: 40 [43008/46200]	Loss: 0.0830	LR: 0.000800
Training Epoch: 40 [43264/46200]	Loss: 0.1133	LR: 0.000800
Training Epoch: 40 [43520/46200]	Loss: 0.1077	LR: 0.000800
Training Epoch: 40 [43776/46200]	Loss: 0.0818	LR: 0.000800
Training Epoch: 40 [44032/46200]	Loss: 0.1204	LR: 0.000800
Training Epoch: 40 [44288/46200]	Loss: 0.1111	LR: 0.000800
Training Epoch: 40 [44544/46200]	Loss: 0.0918	LR: 0.000800
Training Epoch: 40 [44800/46200]	Loss: 0.0800	LR: 0.000800
Training Epoch: 40 [45056/46200]	Loss: 0.0932	LR: 0.000800
Training Epoch: 40 [45312/46200]	Loss: 0.1054	LR: 0.000800
Training Epoch: 40 [45568/46200]	Loss: 0.1224	LR: 0.000800
Training Epoch: 40 [45824/46200]	Loss: 0.1611	LR: 0.000800
Training Epoch: 40 [46080/46200]	Loss: 0.1490	LR: 0.000800
Training Epoch: 40 [46200/46200]	Loss: 0.1920	LR: 0.000800
Epoch 40 - Average Train Loss: 0.1068, Train Accuracy: 0.9697
Epoch 40 training time consumed: 27.87s
Evaluating Network.....
Test set: Epoch: 40, Average loss: 0.0028, Accuracy: 0.8066, Time consumed:0.95s
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: 80.52734375
Retain Accuracy: 97.39582824707031
Zero-Retain Forget (ZRF): 0.9017821550369263
Membership Inference Attack (MIA): 0.605
Forget vs Retain Membership Inference Attack (MIA): 0.5782894736842106
Forget vs Test Membership Inference Attack (MIA): 0.5276315789473685
Test vs Retain Membership Inference Attack (MIA): 0.5745
Train vs Test Membership Inference Attack (MIA): 0.60675
Forget Set Accuracy (Df): 79.28626251220703
Method Execution Time: 2105.93 seconds
