
📌 Retain class distribution for seed 10:
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 10:
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: 3.1233	LR: 0.000000
Training Epoch: 1 [512/46200]	Loss: 3.1477	LR: 0.000552
Training Epoch: 1 [768/46200]	Loss: 3.1298	LR: 0.001105
Training Epoch: 1 [1024/46200]	Loss: 3.0979	LR: 0.001657
Training Epoch: 1 [1280/46200]	Loss: 3.0424	LR: 0.002210
Training Epoch: 1 [1536/46200]	Loss: 3.0602	LR: 0.002762
Training Epoch: 1 [1792/46200]	Loss: 2.9966	LR: 0.003315
Training Epoch: 1 [2048/46200]	Loss: 2.9611	LR: 0.003867
Training Epoch: 1 [2304/46200]	Loss: 2.9432	LR: 0.004420
Training Epoch: 1 [2560/46200]	Loss: 2.9366	LR: 0.004972
Training Epoch: 1 [2816/46200]	Loss: 2.9456	LR: 0.005525
Training Epoch: 1 [3072/46200]	Loss: 2.9425	LR: 0.006077
Training Epoch: 1 [3328/46200]	Loss: 2.9253	LR: 0.006630
Training Epoch: 1 [3584/46200]	Loss: 2.9250	LR: 0.007182
Training Epoch: 1 [3840/46200]	Loss: 2.7788	LR: 0.007735
Training Epoch: 1 [4096/46200]	Loss: 2.7666	LR: 0.008287
Training Epoch: 1 [4352/46200]	Loss: 2.7984	LR: 0.008840
Training Epoch: 1 [4608/46200]	Loss: 2.7661	LR: 0.009392
Training Epoch: 1 [4864/46200]	Loss: 2.8052	LR: 0.009945
Training Epoch: 1 [5120/46200]	Loss: 2.7320	LR: 0.010497
Training Epoch: 1 [5376/46200]	Loss: 2.7315	LR: 0.011050
Training Epoch: 1 [5632/46200]	Loss: 2.7006	LR: 0.011602
Training Epoch: 1 [5888/46200]	Loss: 2.7930	LR: 0.012155
Training Epoch: 1 [6144/46200]	Loss: 2.7167	LR: 0.012707
Training Epoch: 1 [6400/46200]	Loss: 2.6925	LR: 0.013260
Training Epoch: 1 [6656/46200]	Loss: 2.7517	LR: 0.013812
Training Epoch: 1 [6912/46200]	Loss: 2.5379	LR: 0.014365
Training Epoch: 1 [7168/46200]	Loss: 2.6623	LR: 0.014917
Training Epoch: 1 [7424/46200]	Loss: 2.6792	LR: 0.015470
Training Epoch: 1 [7680/46200]	Loss: 2.7643	LR: 0.016022
Training Epoch: 1 [7936/46200]	Loss: 2.6530	LR: 0.016575
Training Epoch: 1 [8192/46200]	Loss: 2.6956	LR: 0.017127
Training Epoch: 1 [8448/46200]	Loss: 2.6062	LR: 0.017680
Training Epoch: 1 [8704/46200]	Loss: 2.6769	LR: 0.018232
Training Epoch: 1 [8960/46200]	Loss: 2.6164	LR: 0.018785
Training Epoch: 1 [9216/46200]	Loss: 2.6166	LR: 0.019337
Training Epoch: 1 [9472/46200]	Loss: 2.6584	LR: 0.019890
Training Epoch: 1 [9728/46200]	Loss: 2.5723	LR: 0.020442
Training Epoch: 1 [9984/46200]	Loss: 2.5448	LR: 0.020994
Training Epoch: 1 [10240/46200]	Loss: 2.7632	LR: 0.021547
Training Epoch: 1 [10496/46200]	Loss: 2.7102	LR: 0.022099
Training Epoch: 1 [10752/46200]	Loss: 2.5098	LR: 0.022652
Training Epoch: 1 [11008/46200]	Loss: 2.5303	LR: 0.023204
Training Epoch: 1 [11264/46200]	Loss: 2.8740	LR: 0.023757
Training Epoch: 1 [11520/46200]	Loss: 2.5475	LR: 0.024309
Training Epoch: 1 [11776/46200]	Loss: 2.6535	LR: 0.024862
Training Epoch: 1 [12032/46200]	Loss: 2.4639	LR: 0.025414
Training Epoch: 1 [12288/46200]	Loss: 2.6906	LR: 0.025967
Training Epoch: 1 [12544/46200]	Loss: 2.7541	LR: 0.026519
Training Epoch: 1 [12800/46200]	Loss: 2.5756	LR: 0.027072
Training Epoch: 1 [13056/46200]	Loss: 2.6292	LR: 0.027624
Training Epoch: 1 [13312/46200]	Loss: 2.3450	LR: 0.028177
Training Epoch: 1 [13568/46200]	Loss: 2.6920	LR: 0.028729
Training Epoch: 1 [13824/46200]	Loss: 2.5603	LR: 0.029282
Training Epoch: 1 [14080/46200]	Loss: 2.6874	LR: 0.029834
Training Epoch: 1 [14336/46200]	Loss: 2.5254	LR: 0.030387
Training Epoch: 1 [14592/46200]	Loss: 2.6594	LR: 0.030939
Training Epoch: 1 [14848/46200]	Loss: 2.7426	LR: 0.031492
Training Epoch: 1 [15104/46200]	Loss: 2.5720	LR: 0.032044
Training Epoch: 1 [15360/46200]	Loss: 2.5425	LR: 0.032597
Training Epoch: 1 [15616/46200]	Loss: 2.6722	LR: 0.033149
Training Epoch: 1 [15872/46200]	Loss: 2.5520	LR: 0.033702
Training Epoch: 1 [16128/46200]	Loss: 2.6461	LR: 0.034254
Training Epoch: 1 [16384/46200]	Loss: 2.5436	LR: 0.034807
Training Epoch: 1 [16640/46200]	Loss: 2.6205	LR: 0.035359
Training Epoch: 1 [16896/46200]	Loss: 2.5689	LR: 0.035912
Training Epoch: 1 [17152/46200]	Loss: 2.6506	LR: 0.036464
Training Epoch: 1 [17408/46200]	Loss: 2.5885	LR: 0.037017
Training Epoch: 1 [17664/46200]	Loss: 2.5323	LR: 0.037569
Training Epoch: 1 [17920/46200]	Loss: 2.6194	LR: 0.038122
Training Epoch: 1 [18176/46200]	Loss: 2.6730	LR: 0.038674
Training Epoch: 1 [18432/46200]	Loss: 2.6790	LR: 0.039227
Training Epoch: 1 [18688/46200]	Loss: 2.5986	LR: 0.039779
Training Epoch: 1 [18944/46200]	Loss: 2.6485	LR: 0.040331
Training Epoch: 1 [19200/46200]	Loss: 2.5633	LR: 0.040884
Training Epoch: 1 [19456/46200]	Loss: 2.5084	LR: 0.041436
Training Epoch: 1 [19712/46200]	Loss: 2.5361	LR: 0.041989
Training Epoch: 1 [19968/46200]	Loss: 2.4650	LR: 0.042541
Training Epoch: 1 [20224/46200]	Loss: 2.4988	LR: 0.043094
Training Epoch: 1 [20480/46200]	Loss: 2.6100	LR: 0.043646
Training Epoch: 1 [20736/46200]	Loss: 2.5523	LR: 0.044199
Training Epoch: 1 [20992/46200]	Loss: 2.5368	LR: 0.044751
Training Epoch: 1 [21248/46200]	Loss: 2.4461	LR: 0.045304
Training Epoch: 1 [21504/46200]	Loss: 2.3591	LR: 0.045856
Training Epoch: 1 [21760/46200]	Loss: 2.6378	LR: 0.046409
Training Epoch: 1 [22016/46200]	Loss: 2.4735	LR: 0.046961
Training Epoch: 1 [22272/46200]	Loss: 2.5408	LR: 0.047514
Training Epoch: 1 [22528/46200]	Loss: 2.4507	LR: 0.048066
Training Epoch: 1 [22784/46200]	Loss: 2.4985	LR: 0.048619
Training Epoch: 1 [23040/46200]	Loss: 2.5942	LR: 0.049171
Training Epoch: 1 [23296/46200]	Loss: 2.5058	LR: 0.049724
Training Epoch: 1 [23552/46200]	Loss: 2.4709	LR: 0.050276
Training Epoch: 1 [23808/46200]	Loss: 2.5303	LR: 0.050829
Training Epoch: 1 [24064/46200]	Loss: 2.5357	LR: 0.051381
Training Epoch: 1 [24320/46200]	Loss: 2.4316	LR: 0.051934
Training Epoch: 1 [24576/46200]	Loss: 2.4120	LR: 0.052486
Training Epoch: 1 [24832/46200]	Loss: 2.5832	LR: 0.053039
Training Epoch: 1 [25088/46200]	Loss: 2.4157	LR: 0.053591
Training Epoch: 1 [25344/46200]	Loss: 2.4475	LR: 0.054144
Training Epoch: 1 [25600/46200]	Loss: 2.5879	LR: 0.054696
Training Epoch: 1 [25856/46200]	Loss: 2.3369	LR: 0.055249
Training Epoch: 1 [26112/46200]	Loss: 2.4848	LR: 0.055801
Training Epoch: 1 [26368/46200]	Loss: 2.4013	LR: 0.056354
Training Epoch: 1 [26624/46200]	Loss: 2.5962	LR: 0.056906
Training Epoch: 1 [26880/46200]	Loss: 2.4553	LR: 0.057459
Training Epoch: 1 [27136/46200]	Loss: 2.3975	LR: 0.058011
Training Epoch: 1 [27392/46200]	Loss: 2.4003	LR: 0.058564
Training Epoch: 1 [27648/46200]	Loss: 2.5449	LR: 0.059116
Training Epoch: 1 [27904/46200]	Loss: 2.4405	LR: 0.059669
Training Epoch: 1 [28160/46200]	Loss: 2.3506	LR: 0.060221
Training Epoch: 1 [28416/46200]	Loss: 2.3955	LR: 0.060773
Training Epoch: 1 [28672/46200]	Loss: 2.4565	LR: 0.061326
Training Epoch: 1 [28928/46200]	Loss: 2.4527	LR: 0.061878
Training Epoch: 1 [29184/46200]	Loss: 2.5709	LR: 0.062431
Training Epoch: 1 [29440/46200]	Loss: 2.4174	LR: 0.062983
Training Epoch: 1 [29696/46200]	Loss: 2.4695	LR: 0.063536
Training Epoch: 1 [29952/46200]	Loss: 2.3654	LR: 0.064088
Training Epoch: 1 [30208/46200]	Loss: 2.3533	LR: 0.064641
Training Epoch: 1 [30464/46200]	Loss: 2.4912	LR: 0.065193
Training Epoch: 1 [30720/46200]	Loss: 2.5509	LR: 0.065746
Training Epoch: 1 [30976/46200]	Loss: 2.3628	LR: 0.066298
Training Epoch: 1 [31232/46200]	Loss: 2.4691	LR: 0.066851
Training Epoch: 1 [31488/46200]	Loss: 2.5615	LR: 0.067403
Training Epoch: 1 [31744/46200]	Loss: 2.4570	LR: 0.067956
Training Epoch: 1 [32000/46200]	Loss: 2.3875	LR: 0.068508
Training Epoch: 1 [32256/46200]	Loss: 2.2983	LR: 0.069061
Training Epoch: 1 [32512/46200]	Loss: 2.4801	LR: 0.069613
Training Epoch: 1 [32768/46200]	Loss: 2.4478	LR: 0.070166
Training Epoch: 1 [33024/46200]	Loss: 2.4538	LR: 0.070718
Training Epoch: 1 [33280/46200]	Loss: 2.4829	LR: 0.071271
Training Epoch: 1 [33536/46200]	Loss: 2.2949	LR: 0.071823
Training Epoch: 1 [33792/46200]	Loss: 2.4175	LR: 0.072376
Training Epoch: 1 [34048/46200]	Loss: 2.4388	LR: 0.072928
Training Epoch: 1 [34304/46200]	Loss: 2.3813	LR: 0.073481
Training Epoch: 1 [34560/46200]	Loss: 2.3236	LR: 0.074033
Training Epoch: 1 [34816/46200]	Loss: 2.3509	LR: 0.074586
Training Epoch: 1 [35072/46200]	Loss: 2.4173	LR: 0.075138
Training Epoch: 1 [35328/46200]	Loss: 2.3765	LR: 0.075691
Training Epoch: 1 [35584/46200]	Loss: 2.4052	LR: 0.076243
Training Epoch: 1 [35840/46200]	Loss: 2.3975	LR: 0.076796
Training Epoch: 1 [36096/46200]	Loss: 2.3548	LR: 0.077348
Training Epoch: 1 [36352/46200]	Loss: 2.4998	LR: 0.077901
Training Epoch: 1 [36608/46200]	Loss: 2.3124	LR: 0.078453
Training Epoch: 1 [36864/46200]	Loss: 2.4084	LR: 0.079006
Training Epoch: 1 [37120/46200]	Loss: 2.3480	LR: 0.079558
Training Epoch: 1 [37376/46200]	Loss: 2.3674	LR: 0.080110
Training Epoch: 1 [37632/46200]	Loss: 2.2682	LR: 0.080663
Training Epoch: 1 [37888/46200]	Loss: 2.3565	LR: 0.081215
Training Epoch: 1 [38144/46200]	Loss: 2.2972	LR: 0.081768
Training Epoch: 1 [38400/46200]	Loss: 2.4199	LR: 0.082320
Training Epoch: 1 [38656/46200]	Loss: 2.4558	LR: 0.082873
Training Epoch: 1 [38912/46200]	Loss: 2.3834	LR: 0.083425
Training Epoch: 1 [39168/46200]	Loss: 2.4732	LR: 0.083978
Training Epoch: 1 [39424/46200]	Loss: 2.2346	LR: 0.084530
Training Epoch: 1 [39680/46200]	Loss: 2.3439	LR: 0.085083
Training Epoch: 1 [39936/46200]	Loss: 2.2908	LR: 0.085635
Training Epoch: 1 [40192/46200]	Loss: 2.2948	LR: 0.086188
Training Epoch: 1 [40448/46200]	Loss: 2.4391	LR: 0.086740
Training Epoch: 1 [40704/46200]	Loss: 2.3709	LR: 0.087293
Training Epoch: 1 [40960/46200]	Loss: 2.2899	LR: 0.087845
Training Epoch: 1 [41216/46200]	Loss: 2.3444	LR: 0.088398
Training Epoch: 1 [41472/46200]	Loss: 2.4469	LR: 0.088950
Training Epoch: 1 [41728/46200]	Loss: 2.3291	LR: 0.089503
Training Epoch: 1 [41984/46200]	Loss: 2.5565	LR: 0.090055
Training Epoch: 1 [42240/46200]	Loss: 2.3285	LR: 0.090608
Training Epoch: 1 [42496/46200]	Loss: 2.4172	LR: 0.091160
Training Epoch: 1 [42752/46200]	Loss: 2.3739	LR: 0.091713
Training Epoch: 1 [43008/46200]	Loss: 2.3286	LR: 0.092265
Training Epoch: 1 [43264/46200]	Loss: 2.4315	LR: 0.092818
Training Epoch: 1 [43520/46200]	Loss: 2.5136	LR: 0.093370
Training Epoch: 1 [43776/46200]	Loss: 2.4029	LR: 0.093923
Training Epoch: 1 [44032/46200]	Loss: 2.3783	LR: 0.094475
Training Epoch: 1 [44288/46200]	Loss: 2.3167	LR: 0.095028
Training Epoch: 1 [44544/46200]	Loss: 2.4002	LR: 0.095580
Training Epoch: 1 [44800/46200]	Loss: 2.2299	LR: 0.096133
Training Epoch: 1 [45056/46200]	Loss: 2.3092	LR: 0.096685
Training Epoch: 1 [45312/46200]	Loss: 2.3088	LR: 0.097238
Training Epoch: 1 [45568/46200]	Loss: 2.3779	LR: 0.097790
Training Epoch: 1 [45824/46200]	Loss: 2.2963	LR: 0.098343
Training Epoch: 1 [46080/46200]	Loss: 2.3435	LR: 0.098895
Training Epoch: 1 [46200/46200]	Loss: 2.2901	LR: 0.099448
Epoch 1 - Average Train Loss: 2.5443, Train Accuracy: 0.2173
Epoch 1 training time consumed: 28.75s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0101, Accuracy: 0.2416, Time consumed:1.16s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_05h_17m_13s/ResNet18-Cifar20-seed10-ret25-1-best.pth
Training Epoch: 2 [256/46200]	Loss: 2.4187	LR: 0.100000
Training Epoch: 2 [512/46200]	Loss: 2.2144	LR: 0.100000
Training Epoch: 2 [768/46200]	Loss: 2.4465	LR: 0.100000
Training Epoch: 2 [1024/46200]	Loss: 2.1957	LR: 0.100000
Training Epoch: 2 [1280/46200]	Loss: 2.2990	LR: 0.100000
Training Epoch: 2 [1536/46200]	Loss: 2.4004	LR: 0.100000
Training Epoch: 2 [1792/46200]	Loss: 2.5504	LR: 0.100000
Training Epoch: 2 [2048/46200]	Loss: 2.3057	LR: 0.100000
Training Epoch: 2 [2304/46200]	Loss: 2.3556	LR: 0.100000
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Epoch 2 - Average Train Loss: 2.1727, Train Accuracy: 0.3239
Epoch 2 training time consumed: 27.80s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0086, Accuracy: 0.3467, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_05h_17m_13s/ResNet18-Cifar20-seed10-ret25-2-best.pth
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Training Epoch: 3 [46200/46200]	Loss: 1.8825	LR: 0.100000
Epoch 3 - Average Train Loss: 1.9092, Train Accuracy: 0.4019
Epoch 3 training time consumed: 27.69s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0079, Accuracy: 0.3984, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_05h_17m_13s/ResNet18-Cifar20-seed10-ret25-3-best.pth
Training Epoch: 4 [256/46200]	Loss: 1.8675	LR: 0.100000
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Training Epoch: 4 [46200/46200]	Loss: 1.5721	LR: 0.100000
Epoch 4 - Average Train Loss: 1.6964, Train Accuracy: 0.4631
Epoch 4 training time consumed: 27.76s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0074, Accuracy: 0.4435, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_05h_17m_13s/ResNet18-Cifar20-seed10-ret25-4-best.pth
Training Epoch: 5 [256/46200]	Loss: 1.5624	LR: 0.100000
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Epoch 5 - Average Train Loss: 1.5312, Train Accuracy: 0.5132
Epoch 5 training time consumed: 27.93s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0064, Accuracy: 0.5099, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_05h_17m_13s/ResNet18-Cifar20-seed10-ret25-5-best.pth
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Training Epoch: 6 [46200/46200]	Loss: 1.4490	LR: 0.100000
Epoch 6 - Average Train Loss: 1.3862, Train Accuracy: 0.5574
Epoch 6 training time consumed: 27.67s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0059, Accuracy: 0.5374, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_05h_17m_13s/ResNet18-Cifar20-seed10-ret25-6-best.pth
Training Epoch: 7 [256/46200]	Loss: 1.2438	LR: 0.100000
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Training Epoch: 7 [46200/46200]	Loss: 1.1228	LR: 0.100000
Epoch 7 - Average Train Loss: 1.2900, Train Accuracy: 0.5860
Epoch 7 training time consumed: 27.73s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0055, Accuracy: 0.5639, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_05h_17m_13s/ResNet18-Cifar20-seed10-ret25-7-best.pth
Training Epoch: 8 [256/46200]	Loss: 1.1772	LR: 0.100000
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Training Epoch: 8 [46200/46200]	Loss: 1.4785	LR: 0.100000
Epoch 8 - Average Train Loss: 1.1955, Train Accuracy: 0.6153
Epoch 8 training time consumed: 27.78s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0056, Accuracy: 0.5722, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_05h_17m_13s/ResNet18-Cifar20-seed10-ret25-8-best.pth
Training Epoch: 9 [256/46200]	Loss: 1.0498	LR: 0.100000
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Training Epoch: 9 [46200/46200]	Loss: 1.0338	LR: 0.100000
Epoch 9 - Average Train Loss: 1.1176, Train Accuracy: 0.6403
Epoch 9 training time consumed: 27.75s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0050, Accuracy: 0.6057, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_05h_17m_13s/ResNet18-Cifar20-seed10-ret25-9-best.pth
Training Epoch: 10 [256/46200]	Loss: 0.8888	LR: 0.100000
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Epoch 10 - Average Train Loss: 1.0611, Train Accuracy: 0.6559
Epoch 10 training time consumed: 27.71s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0046, Accuracy: 0.6360, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_05h_17m_13s/ResNet18-Cifar20-seed10-ret25-10-best.pth
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Training Epoch: 11 [46200/46200]	Loss: 0.7897	LR: 0.100000
Epoch 11 - Average Train Loss: 1.0079, Train Accuracy: 0.6750
Epoch 11 training time consumed: 27.68s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0046, Accuracy: 0.6393, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_05h_17m_13s/ResNet18-Cifar20-seed10-ret25-11-best.pth
Training Epoch: 12 [256/46200]	Loss: 0.9351	LR: 0.100000
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Training Epoch: 12 [46200/46200]	Loss: 0.9243	LR: 0.100000
Epoch 12 - Average Train Loss: 0.9624, Train Accuracy: 0.6886
Epoch 12 training time consumed: 27.69s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0041, Accuracy: 0.6679, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_05h_17m_13s/ResNet18-Cifar20-seed10-ret25-12-best.pth
Training Epoch: 13 [256/46200]	Loss: 0.8148	LR: 0.100000
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Training Epoch: 13 [19968/46200]	Loss: 0.9751	LR: 0.100000
Training Epoch: 13 [20224/46200]	Loss: 0.9893	LR: 0.100000
Training Epoch: 13 [20480/46200]	Loss: 0.9189	LR: 0.100000
Training Epoch: 13 [20736/46200]	Loss: 0.9324	LR: 0.100000
Training Epoch: 13 [20992/46200]	Loss: 1.0558	LR: 0.100000
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Training Epoch: 13 [21504/46200]	Loss: 1.0410	LR: 0.100000
Training Epoch: 13 [21760/46200]	Loss: 0.9073	LR: 0.100000
Training Epoch: 13 [22016/46200]	Loss: 0.7931	LR: 0.100000
Training Epoch: 13 [22272/46200]	Loss: 0.8765	LR: 0.100000
Training Epoch: 13 [22528/46200]	Loss: 0.8200	LR: 0.100000
Training Epoch: 13 [22784/46200]	Loss: 0.9916	LR: 0.100000
Training Epoch: 13 [23040/46200]	Loss: 0.8144	LR: 0.100000
Training Epoch: 13 [23296/46200]	Loss: 1.0722	LR: 0.100000
Training Epoch: 13 [23552/46200]	Loss: 0.8538	LR: 0.100000
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Training Epoch: 13 [26368/46200]	Loss: 0.9738	LR: 0.100000
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Training Epoch: 13 [27392/46200]	Loss: 0.9436	LR: 0.100000
Training Epoch: 13 [27648/46200]	Loss: 0.7789	LR: 0.100000
Training Epoch: 13 [27904/46200]	Loss: 0.9089	LR: 0.100000
Training Epoch: 13 [28160/46200]	Loss: 0.7507	LR: 0.100000
Training Epoch: 13 [28416/46200]	Loss: 0.9678	LR: 0.100000
Training Epoch: 13 [28672/46200]	Loss: 1.0029	LR: 0.100000
Training Epoch: 13 [28928/46200]	Loss: 0.9052	LR: 0.100000
Training Epoch: 13 [29184/46200]	Loss: 0.9867	LR: 0.100000
Training Epoch: 13 [29440/46200]	Loss: 1.0701	LR: 0.100000
Training Epoch: 13 [29696/46200]	Loss: 0.7160	LR: 0.100000
Training Epoch: 13 [29952/46200]	Loss: 0.9493	LR: 0.100000
Training Epoch: 13 [30208/46200]	Loss: 0.8121	LR: 0.100000
Training Epoch: 13 [30464/46200]	Loss: 0.8865	LR: 0.100000
Training Epoch: 13 [30720/46200]	Loss: 0.9054	LR: 0.100000
Training Epoch: 13 [30976/46200]	Loss: 0.9607	LR: 0.100000
Training Epoch: 13 [31232/46200]	Loss: 0.9388	LR: 0.100000
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Training Epoch: 13 [37120/46200]	Loss: 1.0396	LR: 0.100000
Training Epoch: 13 [37376/46200]	Loss: 0.9940	LR: 0.100000
Training Epoch: 13 [37632/46200]	Loss: 0.9045	LR: 0.100000
Training Epoch: 13 [37888/46200]	Loss: 0.8986	LR: 0.100000
Training Epoch: 13 [38144/46200]	Loss: 1.0696	LR: 0.100000
Training Epoch: 13 [38400/46200]	Loss: 1.1335	LR: 0.100000
Training Epoch: 13 [38656/46200]	Loss: 0.9719	LR: 0.100000
Training Epoch: 13 [38912/46200]	Loss: 0.9323	LR: 0.100000
Training Epoch: 13 [39168/46200]	Loss: 1.0294	LR: 0.100000
Training Epoch: 13 [39424/46200]	Loss: 0.9045	LR: 0.100000
Training Epoch: 13 [39680/46200]	Loss: 1.0404	LR: 0.100000
Training Epoch: 13 [39936/46200]	Loss: 0.9638	LR: 0.100000
Training Epoch: 13 [40192/46200]	Loss: 0.8659	LR: 0.100000
Training Epoch: 13 [40448/46200]	Loss: 1.0575	LR: 0.100000
Training Epoch: 13 [40704/46200]	Loss: 1.0081	LR: 0.100000
Training Epoch: 13 [40960/46200]	Loss: 0.9086	LR: 0.100000
Training Epoch: 13 [41216/46200]	Loss: 0.9432	LR: 0.100000
Training Epoch: 13 [41472/46200]	Loss: 0.8651	LR: 0.100000
Training Epoch: 13 [41728/46200]	Loss: 0.7472	LR: 0.100000
Training Epoch: 13 [41984/46200]	Loss: 1.1141	LR: 0.100000
Training Epoch: 13 [42240/46200]	Loss: 0.9159	LR: 0.100000
Training Epoch: 13 [42496/46200]	Loss: 0.9051	LR: 0.100000
Training Epoch: 13 [42752/46200]	Loss: 0.9511	LR: 0.100000
Training Epoch: 13 [43008/46200]	Loss: 1.0421	LR: 0.100000
Training Epoch: 13 [43264/46200]	Loss: 0.8713	LR: 0.100000
Training Epoch: 13 [43520/46200]	Loss: 0.8419	LR: 0.100000
Training Epoch: 13 [43776/46200]	Loss: 1.0036	LR: 0.100000
Training Epoch: 13 [44032/46200]	Loss: 0.9299	LR: 0.100000
Training Epoch: 13 [44288/46200]	Loss: 0.9800	LR: 0.100000
Training Epoch: 13 [44544/46200]	Loss: 0.8544	LR: 0.100000
Training Epoch: 13 [44800/46200]	Loss: 0.8756	LR: 0.100000
Training Epoch: 13 [45056/46200]	Loss: 1.0635	LR: 0.100000
Training Epoch: 13 [45312/46200]	Loss: 0.8634	LR: 0.100000
Training Epoch: 13 [45568/46200]	Loss: 0.9652	LR: 0.100000
Training Epoch: 13 [45824/46200]	Loss: 0.7948	LR: 0.100000
Training Epoch: 13 [46080/46200]	Loss: 0.9588	LR: 0.100000
Training Epoch: 13 [46200/46200]	Loss: 1.1624	LR: 0.100000
Epoch 13 - Average Train Loss: 0.9365, Train Accuracy: 0.6958
Epoch 13 training time consumed: 27.71s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0046, Accuracy: 0.6473, Time consumed:0.89s
Training Epoch: 14 [256/46200]	Loss: 0.9153	LR: 0.100000
Training Epoch: 14 [512/46200]	Loss: 0.8489	LR: 0.100000
Training Epoch: 14 [768/46200]	Loss: 0.8826	LR: 0.100000
Training Epoch: 14 [1024/46200]	Loss: 0.9065	LR: 0.100000
Training Epoch: 14 [1280/46200]	Loss: 0.9593	LR: 0.100000
Training Epoch: 14 [1536/46200]	Loss: 0.9252	LR: 0.100000
Training Epoch: 14 [1792/46200]	Loss: 0.8635	LR: 0.100000
Training Epoch: 14 [2048/46200]	Loss: 0.9154	LR: 0.100000
Training Epoch: 14 [2304/46200]	Loss: 0.9992	LR: 0.100000
Training Epoch: 14 [2560/46200]	Loss: 1.0638	LR: 0.100000
Training Epoch: 14 [2816/46200]	Loss: 0.9476	LR: 0.100000
Training Epoch: 14 [3072/46200]	Loss: 0.8083	LR: 0.100000
Training Epoch: 14 [3328/46200]	Loss: 0.6712	LR: 0.100000
Training Epoch: 14 [3584/46200]	Loss: 0.9834	LR: 0.100000
Training Epoch: 14 [3840/46200]	Loss: 0.8933	LR: 0.100000
Training Epoch: 14 [4096/46200]	Loss: 0.8780	LR: 0.100000
Training Epoch: 14 [4352/46200]	Loss: 0.8855	LR: 0.100000
Training Epoch: 14 [4608/46200]	Loss: 0.9006	LR: 0.100000
Training Epoch: 14 [4864/46200]	Loss: 0.8792	LR: 0.100000
Training Epoch: 14 [5120/46200]	Loss: 0.9656	LR: 0.100000
Training Epoch: 14 [5376/46200]	Loss: 0.8652	LR: 0.100000
Training Epoch: 14 [5632/46200]	Loss: 0.8492	LR: 0.100000
Training Epoch: 14 [5888/46200]	Loss: 0.8284	LR: 0.100000
Training Epoch: 14 [6144/46200]	Loss: 0.9471	LR: 0.100000
Training Epoch: 14 [6400/46200]	Loss: 0.9366	LR: 0.100000
Training Epoch: 14 [6656/46200]	Loss: 0.9751	LR: 0.100000
Training Epoch: 14 [6912/46200]	Loss: 0.8983	LR: 0.100000
Training Epoch: 14 [7168/46200]	Loss: 0.7943	LR: 0.100000
Training Epoch: 14 [7424/46200]	Loss: 0.9163	LR: 0.100000
Training Epoch: 14 [7680/46200]	Loss: 0.9368	LR: 0.100000
Training Epoch: 14 [7936/46200]	Loss: 0.9187	LR: 0.100000
Training Epoch: 14 [8192/46200]	Loss: 0.9114	LR: 0.100000
Training Epoch: 14 [8448/46200]	Loss: 0.9918	LR: 0.100000
Training Epoch: 14 [8704/46200]	Loss: 1.0470	LR: 0.100000
Training Epoch: 14 [8960/46200]	Loss: 0.7936	LR: 0.100000
Training Epoch: 14 [9216/46200]	Loss: 0.8559	LR: 0.100000
Training Epoch: 14 [9472/46200]	Loss: 0.8581	LR: 0.100000
Training Epoch: 14 [9728/46200]	Loss: 0.9489	LR: 0.100000
Training Epoch: 14 [9984/46200]	Loss: 0.8609	LR: 0.100000
Training Epoch: 14 [10240/46200]	Loss: 0.9128	LR: 0.100000
Training Epoch: 14 [10496/46200]	Loss: 0.9229	LR: 0.100000
Training Epoch: 14 [10752/46200]	Loss: 0.9129	LR: 0.100000
Training Epoch: 14 [11008/46200]	Loss: 0.8848	LR: 0.100000
Training Epoch: 14 [11264/46200]	Loss: 0.8970	LR: 0.100000
Training Epoch: 14 [11520/46200]	Loss: 0.9127	LR: 0.100000
Training Epoch: 14 [11776/46200]	Loss: 0.9032	LR: 0.100000
Training Epoch: 14 [12032/46200]	Loss: 0.9368	LR: 0.100000
Training Epoch: 14 [12288/46200]	Loss: 0.9751	LR: 0.100000
Training Epoch: 14 [12544/46200]	Loss: 0.7808	LR: 0.100000
Training Epoch: 14 [12800/46200]	Loss: 0.8739	LR: 0.100000
Training Epoch: 14 [13056/46200]	Loss: 0.8483	LR: 0.100000
Training Epoch: 14 [13312/46200]	Loss: 0.7774	LR: 0.100000
Training Epoch: 14 [13568/46200]	Loss: 0.8715	LR: 0.100000
Training Epoch: 14 [13824/46200]	Loss: 0.9363	LR: 0.100000
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Training Epoch: 14 [16384/46200]	Loss: 0.9755	LR: 0.100000
Training Epoch: 14 [16640/46200]	Loss: 0.7925	LR: 0.100000
Training Epoch: 14 [16896/46200]	Loss: 0.8639	LR: 0.100000
Training Epoch: 14 [17152/46200]	Loss: 0.9089	LR: 0.100000
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Training Epoch: 14 [18432/46200]	Loss: 0.8113	LR: 0.100000
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Training Epoch: 14 [19200/46200]	Loss: 0.9674	LR: 0.100000
Training Epoch: 14 [19456/46200]	Loss: 0.7461	LR: 0.100000
Training Epoch: 14 [19712/46200]	Loss: 0.9050	LR: 0.100000
Training Epoch: 14 [19968/46200]	Loss: 0.9433	LR: 0.100000
Training Epoch: 14 [20224/46200]	Loss: 0.9586	LR: 0.100000
Training Epoch: 14 [20480/46200]	Loss: 0.8724	LR: 0.100000
Training Epoch: 14 [20736/46200]	Loss: 0.9014	LR: 0.100000
Training Epoch: 14 [20992/46200]	Loss: 0.8387	LR: 0.100000
Training Epoch: 14 [21248/46200]	Loss: 0.9303	LR: 0.100000
Training Epoch: 14 [21504/46200]	Loss: 1.0355	LR: 0.100000
Training Epoch: 14 [21760/46200]	Loss: 0.9117	LR: 0.100000
Training Epoch: 14 [22016/46200]	Loss: 0.8817	LR: 0.100000
Training Epoch: 14 [22272/46200]	Loss: 0.8857	LR: 0.100000
Training Epoch: 14 [22528/46200]	Loss: 0.9248	LR: 0.100000
Training Epoch: 14 [22784/46200]	Loss: 0.7810	LR: 0.100000
Training Epoch: 14 [23040/46200]	Loss: 0.9039	LR: 0.100000
Training Epoch: 14 [23296/46200]	Loss: 0.7967	LR: 0.100000
Training Epoch: 14 [23552/46200]	Loss: 0.8961	LR: 0.100000
Training Epoch: 14 [23808/46200]	Loss: 0.7992	LR: 0.100000
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Training Epoch: 14 [24320/46200]	Loss: 0.8835	LR: 0.100000
Training Epoch: 14 [24576/46200]	Loss: 0.9933	LR: 0.100000
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Training Epoch: 14 [25600/46200]	Loss: 0.8067	LR: 0.100000
Training Epoch: 14 [25856/46200]	Loss: 0.8851	LR: 0.100000
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Training Epoch: 14 [26368/46200]	Loss: 0.7699	LR: 0.100000
Training Epoch: 14 [26624/46200]	Loss: 0.8645	LR: 0.100000
Training Epoch: 14 [26880/46200]	Loss: 0.9360	LR: 0.100000
Training Epoch: 14 [27136/46200]	Loss: 0.9925	LR: 0.100000
Training Epoch: 14 [27392/46200]	Loss: 0.8420	LR: 0.100000
Training Epoch: 14 [27648/46200]	Loss: 0.8280	LR: 0.100000
Training Epoch: 14 [27904/46200]	Loss: 0.9500	LR: 0.100000
Training Epoch: 14 [28160/46200]	Loss: 0.8964	LR: 0.100000
Training Epoch: 14 [28416/46200]	Loss: 0.9309	LR: 0.100000
Training Epoch: 14 [28672/46200]	Loss: 0.9216	LR: 0.100000
Training Epoch: 14 [28928/46200]	Loss: 0.8798	LR: 0.100000
Training Epoch: 14 [29184/46200]	Loss: 0.9353	LR: 0.100000
Training Epoch: 14 [29440/46200]	Loss: 0.8631	LR: 0.100000
Training Epoch: 14 [29696/46200]	Loss: 0.8453	LR: 0.100000
Training Epoch: 14 [29952/46200]	Loss: 0.7680	LR: 0.100000
Training Epoch: 14 [30208/46200]	Loss: 0.8117	LR: 0.100000
Training Epoch: 14 [30464/46200]	Loss: 0.8934	LR: 0.100000
Training Epoch: 14 [30720/46200]	Loss: 0.9115	LR: 0.100000
Training Epoch: 14 [30976/46200]	Loss: 0.9114	LR: 0.100000
Training Epoch: 14 [31232/46200]	Loss: 0.7698	LR: 0.100000
Training Epoch: 14 [31488/46200]	Loss: 0.9413	LR: 0.100000
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Training Epoch: 14 [32256/46200]	Loss: 1.0431	LR: 0.100000
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Training Epoch: 14 [34304/46200]	Loss: 1.1117	LR: 0.100000
Training Epoch: 14 [34560/46200]	Loss: 0.8526	LR: 0.100000
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Training Epoch: 14 [35328/46200]	Loss: 0.7817	LR: 0.100000
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Training Epoch: 14 [36096/46200]	Loss: 0.9792	LR: 0.100000
Training Epoch: 14 [36352/46200]	Loss: 0.9963	LR: 0.100000
Training Epoch: 14 [36608/46200]	Loss: 0.8262	LR: 0.100000
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Training Epoch: 14 [37120/46200]	Loss: 0.9916	LR: 0.100000
Training Epoch: 14 [37376/46200]	Loss: 1.0416	LR: 0.100000
Training Epoch: 14 [37632/46200]	Loss: 0.8934	LR: 0.100000
Training Epoch: 14 [37888/46200]	Loss: 0.8843	LR: 0.100000
Training Epoch: 14 [38144/46200]	Loss: 0.8321	LR: 0.100000
Training Epoch: 14 [38400/46200]	Loss: 0.8810	LR: 0.100000
Training Epoch: 14 [38656/46200]	Loss: 0.9187	LR: 0.100000
Training Epoch: 14 [38912/46200]	Loss: 0.9510	LR: 0.100000
Training Epoch: 14 [39168/46200]	Loss: 0.9042	LR: 0.100000
Training Epoch: 14 [39424/46200]	Loss: 0.9436	LR: 0.100000
Training Epoch: 14 [39680/46200]	Loss: 0.8829	LR: 0.100000
Training Epoch: 14 [39936/46200]	Loss: 0.8392	LR: 0.100000
Training Epoch: 14 [40192/46200]	Loss: 0.9310	LR: 0.100000
Training Epoch: 14 [40448/46200]	Loss: 0.8769	LR: 0.100000
Training Epoch: 14 [40704/46200]	Loss: 0.9083	LR: 0.100000
Training Epoch: 14 [40960/46200]	Loss: 0.8218	LR: 0.100000
Training Epoch: 14 [41216/46200]	Loss: 0.8465	LR: 0.100000
Training Epoch: 14 [41472/46200]	Loss: 0.8911	LR: 0.100000
Training Epoch: 14 [41728/46200]	Loss: 0.8456	LR: 0.100000
Training Epoch: 14 [41984/46200]	Loss: 0.7936	LR: 0.100000
Training Epoch: 14 [42240/46200]	Loss: 0.8596	LR: 0.100000
Training Epoch: 14 [42496/46200]	Loss: 0.9048	LR: 0.100000
Training Epoch: 14 [42752/46200]	Loss: 0.7872	LR: 0.100000
Training Epoch: 14 [43008/46200]	Loss: 1.1184	LR: 0.100000
Training Epoch: 14 [43264/46200]	Loss: 0.9528	LR: 0.100000
Training Epoch: 14 [43520/46200]	Loss: 0.8854	LR: 0.100000
Training Epoch: 14 [43776/46200]	Loss: 0.7595	LR: 0.100000
Training Epoch: 14 [44032/46200]	Loss: 0.9152	LR: 0.100000
Training Epoch: 14 [44288/46200]	Loss: 0.8617	LR: 0.100000
Training Epoch: 14 [44544/46200]	Loss: 0.9386	LR: 0.100000
Training Epoch: 14 [44800/46200]	Loss: 0.8938	LR: 0.100000
Training Epoch: 14 [45056/46200]	Loss: 0.9818	LR: 0.100000
Training Epoch: 14 [45312/46200]	Loss: 1.0036	LR: 0.100000
Training Epoch: 14 [45568/46200]	Loss: 1.0238	LR: 0.100000
Training Epoch: 14 [45824/46200]	Loss: 0.8543	LR: 0.100000
Training Epoch: 14 [46080/46200]	Loss: 0.8746	LR: 0.100000
Training Epoch: 14 [46200/46200]	Loss: 0.7749	LR: 0.100000
Epoch 14 - Average Train Loss: 0.8979, Train Accuracy: 0.7102
Epoch 14 training time consumed: 27.79s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0044, Accuracy: 0.6640, Time consumed:0.94s
Training Epoch: 15 [256/46200]	Loss: 0.9386	LR: 0.020000
Training Epoch: 15 [512/46200]	Loss: 0.8070	LR: 0.020000
Training Epoch: 15 [768/46200]	Loss: 0.8691	LR: 0.020000
Training Epoch: 15 [1024/46200]	Loss: 0.8124	LR: 0.020000
Training Epoch: 15 [1280/46200]	Loss: 0.7804	LR: 0.020000
Training Epoch: 15 [1536/46200]	Loss: 0.9582	LR: 0.020000
Training Epoch: 15 [1792/46200]	Loss: 0.7210	LR: 0.020000
Training Epoch: 15 [2048/46200]	Loss: 0.7554	LR: 0.020000
Training Epoch: 15 [2304/46200]	Loss: 0.9504	LR: 0.020000
Training Epoch: 15 [2560/46200]	Loss: 0.7627	LR: 0.020000
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Training Epoch: 15 [46200/46200]	Loss: 0.8036	LR: 0.020000
Epoch 15 - Average Train Loss: 0.6647, Train Accuracy: 0.7852
Epoch 15 training time consumed: 27.85s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0029, Accuracy: 0.7604, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_05h_17m_13s/ResNet18-Cifar20-seed10-ret25-15-best.pth
Training Epoch: 16 [256/46200]	Loss: 0.5575	LR: 0.020000
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Training Epoch: 16 [46200/46200]	Loss: 0.7348	LR: 0.020000
Epoch 16 - Average Train Loss: 0.5807, Train Accuracy: 0.8099
Epoch 16 training time consumed: 28.03s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0029, Accuracy: 0.7683, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_05h_17m_13s/ResNet18-Cifar20-seed10-ret25-16-best.pth
Training Epoch: 17 [256/46200]	Loss: 0.4742	LR: 0.020000
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Training Epoch: 17 [46200/46200]	Loss: 0.5061	LR: 0.020000
Epoch 17 - Average Train Loss: 0.5484, Train Accuracy: 0.8209
Epoch 17 training time consumed: 27.85s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0030, Accuracy: 0.7650, Time consumed:0.90s
Training Epoch: 18 [256/46200]	Loss: 0.4826	LR: 0.020000
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Training Epoch: 18 [46200/46200]	Loss: 0.7019	LR: 0.020000
Epoch 18 - Average Train Loss: 0.5164, Train Accuracy: 0.8302
Epoch 18 training time consumed: 27.75s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0029, Accuracy: 0.7708, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_05h_17m_13s/ResNet18-Cifar20-seed10-ret25-18-best.pth
Training Epoch: 19 [256/46200]	Loss: 0.5541	LR: 0.020000
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Training Epoch: 19 [35840/46200]	Loss: 0.4394	LR: 0.020000
Training Epoch: 19 [36096/46200]	Loss: 0.5671	LR: 0.020000
Training Epoch: 19 [36352/46200]	Loss: 0.4460	LR: 0.020000
Training Epoch: 19 [36608/46200]	Loss: 0.4734	LR: 0.020000
Training Epoch: 19 [36864/46200]	Loss: 0.5127	LR: 0.020000
Training Epoch: 19 [37120/46200]	Loss: 0.6188	LR: 0.020000
Training Epoch: 19 [37376/46200]	Loss: 0.5604	LR: 0.020000
Training Epoch: 19 [37632/46200]	Loss: 0.5615	LR: 0.020000
Training Epoch: 19 [37888/46200]	Loss: 0.4151	LR: 0.020000
Training Epoch: 19 [38144/46200]	Loss: 0.5527	LR: 0.020000
Training Epoch: 19 [38400/46200]	Loss: 0.5792	LR: 0.020000
Training Epoch: 19 [38656/46200]	Loss: 0.4016	LR: 0.020000
Training Epoch: 19 [38912/46200]	Loss: 0.5023	LR: 0.020000
Training Epoch: 19 [39168/46200]	Loss: 0.5446	LR: 0.020000
Training Epoch: 19 [39424/46200]	Loss: 0.5322	LR: 0.020000
Training Epoch: 19 [39680/46200]	Loss: 0.4567	LR: 0.020000
Training Epoch: 19 [39936/46200]	Loss: 0.5333	LR: 0.020000
Training Epoch: 19 [40192/46200]	Loss: 0.4723	LR: 0.020000
Training Epoch: 19 [40448/46200]	Loss: 0.5259	LR: 0.020000
Training Epoch: 19 [40704/46200]	Loss: 0.4652	LR: 0.020000
Training Epoch: 19 [40960/46200]	Loss: 0.5327	LR: 0.020000
Training Epoch: 19 [41216/46200]	Loss: 0.4959	LR: 0.020000
Training Epoch: 19 [41472/46200]	Loss: 0.4507	LR: 0.020000
Training Epoch: 19 [41728/46200]	Loss: 0.4487	LR: 0.020000
Training Epoch: 19 [41984/46200]	Loss: 0.4417	LR: 0.020000
Training Epoch: 19 [42240/46200]	Loss: 0.6005	LR: 0.020000
Training Epoch: 19 [42496/46200]	Loss: 0.5293	LR: 0.020000
Training Epoch: 19 [42752/46200]	Loss: 0.4517	LR: 0.020000
Training Epoch: 19 [43008/46200]	Loss: 0.5157	LR: 0.020000
Training Epoch: 19 [43264/46200]	Loss: 0.5261	LR: 0.020000
Training Epoch: 19 [43520/46200]	Loss: 0.5277	LR: 0.020000
Training Epoch: 19 [43776/46200]	Loss: 0.4618	LR: 0.020000
Training Epoch: 19 [44032/46200]	Loss: 0.4922	LR: 0.020000
Training Epoch: 19 [44288/46200]	Loss: 0.4613	LR: 0.020000
Training Epoch: 19 [44544/46200]	Loss: 0.5294	LR: 0.020000
Training Epoch: 19 [44800/46200]	Loss: 0.5755	LR: 0.020000
Training Epoch: 19 [45056/46200]	Loss: 0.4993	LR: 0.020000
Training Epoch: 19 [45312/46200]	Loss: 0.4713	LR: 0.020000
Training Epoch: 19 [45568/46200]	Loss: 0.6175	LR: 0.020000
Training Epoch: 19 [45824/46200]	Loss: 0.4474	LR: 0.020000
Training Epoch: 19 [46080/46200]	Loss: 0.4686	LR: 0.020000
Training Epoch: 19 [46200/46200]	Loss: 0.4143	LR: 0.020000
Epoch 19 - Average Train Loss: 0.4934, Train Accuracy: 0.8380
Epoch 19 training time consumed: 28.15s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0030, Accuracy: 0.7646, Time consumed:0.91s
Training Epoch: 20 [256/46200]	Loss: 0.3756	LR: 0.020000
Training Epoch: 20 [512/46200]	Loss: 0.4807	LR: 0.020000
Training Epoch: 20 [768/46200]	Loss: 0.4647	LR: 0.020000
Training Epoch: 20 [1024/46200]	Loss: 0.4758	LR: 0.020000
Training Epoch: 20 [1280/46200]	Loss: 0.4134	LR: 0.020000
Training Epoch: 20 [1536/46200]	Loss: 0.4618	LR: 0.020000
Training Epoch: 20 [1792/46200]	Loss: 0.5023	LR: 0.020000
Training Epoch: 20 [2048/46200]	Loss: 0.4744	LR: 0.020000
Training Epoch: 20 [2304/46200]	Loss: 0.4744	LR: 0.020000
Training Epoch: 20 [2560/46200]	Loss: 0.3839	LR: 0.020000
Training Epoch: 20 [2816/46200]	Loss: 0.4491	LR: 0.020000
Training Epoch: 20 [3072/46200]	Loss: 0.4909	LR: 0.020000
Training Epoch: 20 [3328/46200]	Loss: 0.4112	LR: 0.020000
Training Epoch: 20 [3584/46200]	Loss: 0.4095	LR: 0.020000
Training Epoch: 20 [3840/46200]	Loss: 0.5634	LR: 0.020000
Training Epoch: 20 [4096/46200]	Loss: 0.5702	LR: 0.020000
Training Epoch: 20 [4352/46200]	Loss: 0.4367	LR: 0.020000
Training Epoch: 20 [4608/46200]	Loss: 0.3712	LR: 0.020000
Training Epoch: 20 [4864/46200]	Loss: 0.4222	LR: 0.020000
Training Epoch: 20 [5120/46200]	Loss: 0.5659	LR: 0.020000
Training Epoch: 20 [5376/46200]	Loss: 0.4931	LR: 0.020000
Training Epoch: 20 [5632/46200]	Loss: 0.3965	LR: 0.020000
Training Epoch: 20 [5888/46200]	Loss: 0.4780	LR: 0.020000
Training Epoch: 20 [6144/46200]	Loss: 0.3555	LR: 0.020000
Training Epoch: 20 [6400/46200]	Loss: 0.5879	LR: 0.020000
Training Epoch: 20 [6656/46200]	Loss: 0.3301	LR: 0.020000
Training Epoch: 20 [6912/46200]	Loss: 0.5135	LR: 0.020000
Training Epoch: 20 [7168/46200]	Loss: 0.4325	LR: 0.020000
Training Epoch: 20 [7424/46200]	Loss: 0.4047	LR: 0.020000
Training Epoch: 20 [7680/46200]	Loss: 0.5087	LR: 0.020000
Training Epoch: 20 [7936/46200]	Loss: 0.4614	LR: 0.020000
Training Epoch: 20 [8192/46200]	Loss: 0.4618	LR: 0.020000
Training Epoch: 20 [8448/46200]	Loss: 0.4682	LR: 0.020000
Training Epoch: 20 [8704/46200]	Loss: 0.4847	LR: 0.020000
Training Epoch: 20 [8960/46200]	Loss: 0.4086	LR: 0.020000
Training Epoch: 20 [9216/46200]	Loss: 0.4538	LR: 0.020000
Training Epoch: 20 [9472/46200]	Loss: 0.4418	LR: 0.020000
Training Epoch: 20 [9728/46200]	Loss: 0.4707	LR: 0.020000
Training Epoch: 20 [9984/46200]	Loss: 0.4899	LR: 0.020000
Training Epoch: 20 [10240/46200]	Loss: 0.3831	LR: 0.020000
Training Epoch: 20 [10496/46200]	Loss: 0.4583	LR: 0.020000
Training Epoch: 20 [10752/46200]	Loss: 0.4955	LR: 0.020000
Training Epoch: 20 [11008/46200]	Loss: 0.5093	LR: 0.020000
Training Epoch: 20 [11264/46200]	Loss: 0.4686	LR: 0.020000
Training Epoch: 20 [11520/46200]	Loss: 0.3982	LR: 0.020000
Training Epoch: 20 [11776/46200]	Loss: 0.3966	LR: 0.020000
Training Epoch: 20 [12032/46200]	Loss: 0.4295	LR: 0.020000
Training Epoch: 20 [12288/46200]	Loss: 0.4506	LR: 0.020000
Training Epoch: 20 [12544/46200]	Loss: 0.4408	LR: 0.020000
Training Epoch: 20 [12800/46200]	Loss: 0.4188	LR: 0.020000
Training Epoch: 20 [13056/46200]	Loss: 0.4558	LR: 0.020000
Training Epoch: 20 [13312/46200]	Loss: 0.4669	LR: 0.020000
Training Epoch: 20 [13568/46200]	Loss: 0.4543	LR: 0.020000
Training Epoch: 20 [13824/46200]	Loss: 0.5121	LR: 0.020000
Training Epoch: 20 [14080/46200]	Loss: 0.4467	LR: 0.020000
Training Epoch: 20 [14336/46200]	Loss: 0.4083	LR: 0.020000
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Training Epoch: 20 [14848/46200]	Loss: 0.5578	LR: 0.020000
Training Epoch: 20 [15104/46200]	Loss: 0.4640	LR: 0.020000
Training Epoch: 20 [15360/46200]	Loss: 0.4534	LR: 0.020000
Training Epoch: 20 [15616/46200]	Loss: 0.4285	LR: 0.020000
Training Epoch: 20 [15872/46200]	Loss: 0.4482	LR: 0.020000
Training Epoch: 20 [16128/46200]	Loss: 0.4527	LR: 0.020000
Training Epoch: 20 [16384/46200]	Loss: 0.4058	LR: 0.020000
Training Epoch: 20 [16640/46200]	Loss: 0.3388	LR: 0.020000
Training Epoch: 20 [16896/46200]	Loss: 0.3759	LR: 0.020000
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Training Epoch: 20 [17408/46200]	Loss: 0.4364	LR: 0.020000
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Training Epoch: 20 [18432/46200]	Loss: 0.5199	LR: 0.020000
Training Epoch: 20 [18688/46200]	Loss: 0.4355	LR: 0.020000
Training Epoch: 20 [18944/46200]	Loss: 0.4951	LR: 0.020000
Training Epoch: 20 [19200/46200]	Loss: 0.5342	LR: 0.020000
Training Epoch: 20 [19456/46200]	Loss: 0.4787	LR: 0.020000
Training Epoch: 20 [19712/46200]	Loss: 0.4448	LR: 0.020000
Training Epoch: 20 [19968/46200]	Loss: 0.4443	LR: 0.020000
Training Epoch: 20 [20224/46200]	Loss: 0.4251	LR: 0.020000
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Training Epoch: 20 [21760/46200]	Loss: 0.4704	LR: 0.020000
Training Epoch: 20 [22016/46200]	Loss: 0.3814	LR: 0.020000
Training Epoch: 20 [22272/46200]	Loss: 0.3993	LR: 0.020000
Training Epoch: 20 [22528/46200]	Loss: 0.4544	LR: 0.020000
Training Epoch: 20 [22784/46200]	Loss: 0.3967	LR: 0.020000
Training Epoch: 20 [23040/46200]	Loss: 0.4183	LR: 0.020000
Training Epoch: 20 [23296/46200]	Loss: 0.4955	LR: 0.020000
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Training Epoch: 20 [26368/46200]	Loss: 0.4439	LR: 0.020000
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Training Epoch: 20 [26880/46200]	Loss: 0.5213	LR: 0.020000
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Training Epoch: 20 [28160/46200]	Loss: 0.4099	LR: 0.020000
Training Epoch: 20 [28416/46200]	Loss: 0.5822	LR: 0.020000
Training Epoch: 20 [28672/46200]	Loss: 0.5615	LR: 0.020000
Training Epoch: 20 [28928/46200]	Loss: 0.4209	LR: 0.020000
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Training Epoch: 20 [29440/46200]	Loss: 0.5000	LR: 0.020000
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Training Epoch: 20 [36096/46200]	Loss: 0.4387	LR: 0.020000
Training Epoch: 20 [36352/46200]	Loss: 0.5069	LR: 0.020000
Training Epoch: 20 [36608/46200]	Loss: 0.4784	LR: 0.020000
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Training Epoch: 20 [37120/46200]	Loss: 0.5333	LR: 0.020000
Training Epoch: 20 [37376/46200]	Loss: 0.5213	LR: 0.020000
Training Epoch: 20 [37632/46200]	Loss: 0.4435	LR: 0.020000
Training Epoch: 20 [37888/46200]	Loss: 0.4371	LR: 0.020000
Training Epoch: 20 [38144/46200]	Loss: 0.4557	LR: 0.020000
Training Epoch: 20 [38400/46200]	Loss: 0.4283	LR: 0.020000
Training Epoch: 20 [38656/46200]	Loss: 0.4882	LR: 0.020000
Training Epoch: 20 [38912/46200]	Loss: 0.4824	LR: 0.020000
Training Epoch: 20 [39168/46200]	Loss: 0.5442	LR: 0.020000
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Training Epoch: 20 [39680/46200]	Loss: 0.4813	LR: 0.020000
Training Epoch: 20 [39936/46200]	Loss: 0.5165	LR: 0.020000
Training Epoch: 20 [40192/46200]	Loss: 0.5561	LR: 0.020000
Training Epoch: 20 [40448/46200]	Loss: 0.5606	LR: 0.020000
Training Epoch: 20 [40704/46200]	Loss: 0.5602	LR: 0.020000
Training Epoch: 20 [40960/46200]	Loss: 0.4563	LR: 0.020000
Training Epoch: 20 [41216/46200]	Loss: 0.4951	LR: 0.020000
Training Epoch: 20 [41472/46200]	Loss: 0.4023	LR: 0.020000
Training Epoch: 20 [41728/46200]	Loss: 0.5333	LR: 0.020000
Training Epoch: 20 [41984/46200]	Loss: 0.4865	LR: 0.020000
Training Epoch: 20 [42240/46200]	Loss: 0.5199	LR: 0.020000
Training Epoch: 20 [42496/46200]	Loss: 0.4829	LR: 0.020000
Training Epoch: 20 [42752/46200]	Loss: 0.4840	LR: 0.020000
Training Epoch: 20 [43008/46200]	Loss: 0.5597	LR: 0.020000
Training Epoch: 20 [43264/46200]	Loss: 0.3917	LR: 0.020000
Training Epoch: 20 [43520/46200]	Loss: 0.4562	LR: 0.020000
Training Epoch: 20 [43776/46200]	Loss: 0.4759	LR: 0.020000
Training Epoch: 20 [44032/46200]	Loss: 0.5110	LR: 0.020000
Training Epoch: 20 [44288/46200]	Loss: 0.4927	LR: 0.020000
Training Epoch: 20 [44544/46200]	Loss: 0.4955	LR: 0.020000
Training Epoch: 20 [44800/46200]	Loss: 0.5730	LR: 0.020000
Training Epoch: 20 [45056/46200]	Loss: 0.5142	LR: 0.020000
Training Epoch: 20 [45312/46200]	Loss: 0.4768	LR: 0.020000
Training Epoch: 20 [45568/46200]	Loss: 0.4178	LR: 0.020000
Training Epoch: 20 [45824/46200]	Loss: 0.4988	LR: 0.020000
Training Epoch: 20 [46080/46200]	Loss: 0.5019	LR: 0.020000
Training Epoch: 20 [46200/46200]	Loss: 0.4346	LR: 0.020000
Epoch 20 - Average Train Loss: 0.4724, Train Accuracy: 0.8436
Epoch 20 training time consumed: 27.78s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0032, Accuracy: 0.7536, Time consumed:0.89s
Training Epoch: 21 [256/46200]	Loss: 0.4262	LR: 0.020000
Training Epoch: 21 [512/46200]	Loss: 0.5190	LR: 0.020000
Training Epoch: 21 [768/46200]	Loss: 0.4488	LR: 0.020000
Training Epoch: 21 [1024/46200]	Loss: 0.3910	LR: 0.020000
Training Epoch: 21 [1280/46200]	Loss: 0.3698	LR: 0.020000
Training Epoch: 21 [1536/46200]	Loss: 0.4128	LR: 0.020000
Training Epoch: 21 [1792/46200]	Loss: 0.4268	LR: 0.020000
Training Epoch: 21 [2048/46200]	Loss: 0.3540	LR: 0.020000
Training Epoch: 21 [2304/46200]	Loss: 0.3594	LR: 0.020000
Training Epoch: 21 [2560/46200]	Loss: 0.3934	LR: 0.020000
Training Epoch: 21 [2816/46200]	Loss: 0.4410	LR: 0.020000
Training Epoch: 21 [3072/46200]	Loss: 0.4645	LR: 0.020000
Training Epoch: 21 [3328/46200]	Loss: 0.4382	LR: 0.020000
Training Epoch: 21 [3584/46200]	Loss: 0.4988	LR: 0.020000
Training Epoch: 21 [3840/46200]	Loss: 0.4578	LR: 0.020000
Training Epoch: 21 [4096/46200]	Loss: 0.4595	LR: 0.020000
Training Epoch: 21 [4352/46200]	Loss: 0.3779	LR: 0.020000
Training Epoch: 21 [4608/46200]	Loss: 0.3792	LR: 0.020000
Training Epoch: 21 [4864/46200]	Loss: 0.4261	LR: 0.020000
Training Epoch: 21 [5120/46200]	Loss: 0.3918	LR: 0.020000
Training Epoch: 21 [5376/46200]	Loss: 0.4300	LR: 0.020000
Training Epoch: 21 [5632/46200]	Loss: 0.3932	LR: 0.020000
Training Epoch: 21 [5888/46200]	Loss: 0.3982	LR: 0.020000
Training Epoch: 21 [6144/46200]	Loss: 0.3749	LR: 0.020000
Training Epoch: 21 [6400/46200]	Loss: 0.4665	LR: 0.020000
Training Epoch: 21 [6656/46200]	Loss: 0.4655	LR: 0.020000
Training Epoch: 21 [6912/46200]	Loss: 0.3722	LR: 0.020000
Training Epoch: 21 [7168/46200]	Loss: 0.3744	LR: 0.020000
Training Epoch: 21 [7424/46200]	Loss: 0.4317	LR: 0.020000
Training Epoch: 21 [7680/46200]	Loss: 0.4466	LR: 0.020000
Training Epoch: 21 [7936/46200]	Loss: 0.4488	LR: 0.020000
Training Epoch: 21 [8192/46200]	Loss: 0.4526	LR: 0.020000
Training Epoch: 21 [8448/46200]	Loss: 0.3973	LR: 0.020000
Training Epoch: 21 [8704/46200]	Loss: 0.3484	LR: 0.020000
Training Epoch: 21 [8960/46200]	Loss: 0.4905	LR: 0.020000
Training Epoch: 21 [9216/46200]	Loss: 0.4871	LR: 0.020000
Training Epoch: 21 [9472/46200]	Loss: 0.4666	LR: 0.020000
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Training Epoch: 21 [9984/46200]	Loss: 0.4084	LR: 0.020000
Training Epoch: 21 [10240/46200]	Loss: 0.5408	LR: 0.020000
Training Epoch: 21 [10496/46200]	Loss: 0.4065	LR: 0.020000
Training Epoch: 21 [10752/46200]	Loss: 0.4596	LR: 0.020000
Training Epoch: 21 [11008/46200]	Loss: 0.4496	LR: 0.020000
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Training Epoch: 21 [11520/46200]	Loss: 0.4027	LR: 0.020000
Training Epoch: 21 [11776/46200]	Loss: 0.4405	LR: 0.020000
Training Epoch: 21 [12032/46200]	Loss: 0.5218	LR: 0.020000
Training Epoch: 21 [12288/46200]	Loss: 0.4311	LR: 0.020000
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Training Epoch: 21 [13056/46200]	Loss: 0.4898	LR: 0.020000
Training Epoch: 21 [13312/46200]	Loss: 0.3576	LR: 0.020000
Training Epoch: 21 [13568/46200]	Loss: 0.4280	LR: 0.020000
Training Epoch: 21 [13824/46200]	Loss: 0.4978	LR: 0.020000
Training Epoch: 21 [14080/46200]	Loss: 0.4704	LR: 0.020000
Training Epoch: 21 [14336/46200]	Loss: 0.4183	LR: 0.020000
Training Epoch: 21 [14592/46200]	Loss: 0.5522	LR: 0.020000
Training Epoch: 21 [14848/46200]	Loss: 0.4674	LR: 0.020000
Training Epoch: 21 [15104/46200]	Loss: 0.4174	LR: 0.020000
Training Epoch: 21 [15360/46200]	Loss: 0.4388	LR: 0.020000
Training Epoch: 21 [15616/46200]	Loss: 0.4461	LR: 0.020000
Training Epoch: 21 [15872/46200]	Loss: 0.4260	LR: 0.020000
Training Epoch: 21 [16128/46200]	Loss: 0.4695	LR: 0.020000
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Training Epoch: 21 [46200/46200]	Loss: 0.7520	LR: 0.020000
Epoch 21 - Average Train Loss: 0.4474, Train Accuracy: 0.8523
Epoch 21 training time consumed: 27.82s
Evaluating Network.....
Test set: Epoch: 21, Average loss: 0.0029, Accuracy: 0.7730, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_05h_17m_13s/ResNet18-Cifar20-seed10-ret25-21-best.pth
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Training Epoch: 22 [43008/46200]	Loss: 0.3962	LR: 0.020000
Training Epoch: 22 [43264/46200]	Loss: 0.5255	LR: 0.020000
Training Epoch: 22 [43520/46200]	Loss: 0.4412	LR: 0.020000
Training Epoch: 22 [43776/46200]	Loss: 0.3652	LR: 0.020000
Training Epoch: 22 [44032/46200]	Loss: 0.4642	LR: 0.020000
Training Epoch: 22 [44288/46200]	Loss: 0.5118	LR: 0.020000
Training Epoch: 22 [44544/46200]	Loss: 0.4316	LR: 0.020000
Training Epoch: 22 [44800/46200]	Loss: 0.4147	LR: 0.020000
Training Epoch: 22 [45056/46200]	Loss: 0.4776	LR: 0.020000
Training Epoch: 22 [45312/46200]	Loss: 0.4553	LR: 0.020000
Training Epoch: 22 [45568/46200]	Loss: 0.4557	LR: 0.020000
Training Epoch: 22 [45824/46200]	Loss: 0.3710	LR: 0.020000
Training Epoch: 22 [46080/46200]	Loss: 0.4311	LR: 0.020000
Training Epoch: 22 [46200/46200]	Loss: 0.4997	LR: 0.020000
Epoch 22 - Average Train Loss: 0.4394, Train Accuracy: 0.8558
Epoch 22 training time consumed: 27.85s
Evaluating Network.....
Test set: Epoch: 22, Average loss: 0.0031, Accuracy: 0.7655, Time consumed:0.91s
Training Epoch: 23 [256/46200]	Loss: 0.3836	LR: 0.020000
Training Epoch: 23 [512/46200]	Loss: 0.3945	LR: 0.020000
Training Epoch: 23 [768/46200]	Loss: 0.4775	LR: 0.020000
Training Epoch: 23 [1024/46200]	Loss: 0.2559	LR: 0.020000
Training Epoch: 23 [1280/46200]	Loss: 0.4153	LR: 0.020000
Training Epoch: 23 [1536/46200]	Loss: 0.4044	LR: 0.020000
Training Epoch: 23 [1792/46200]	Loss: 0.4542	LR: 0.020000
Training Epoch: 23 [2048/46200]	Loss: 0.4586	LR: 0.020000
Training Epoch: 23 [2304/46200]	Loss: 0.3624	LR: 0.020000
Training Epoch: 23 [2560/46200]	Loss: 0.4134	LR: 0.020000
Training Epoch: 23 [2816/46200]	Loss: 0.3264	LR: 0.020000
Training Epoch: 23 [3072/46200]	Loss: 0.4620	LR: 0.020000
Training Epoch: 23 [3328/46200]	Loss: 0.3492	LR: 0.020000
Training Epoch: 23 [3584/46200]	Loss: 0.4377	LR: 0.020000
Training Epoch: 23 [3840/46200]	Loss: 0.3862	LR: 0.020000
Training Epoch: 23 [4096/46200]	Loss: 0.4093	LR: 0.020000
Training Epoch: 23 [4352/46200]	Loss: 0.4037	LR: 0.020000
Training Epoch: 23 [4608/46200]	Loss: 0.3999	LR: 0.020000
Training Epoch: 23 [4864/46200]	Loss: 0.4110	LR: 0.020000
Training Epoch: 23 [5120/46200]	Loss: 0.4264	LR: 0.020000
Training Epoch: 23 [5376/46200]	Loss: 0.4367	LR: 0.020000
Training Epoch: 23 [5632/46200]	Loss: 0.4178	LR: 0.020000
Training Epoch: 23 [5888/46200]	Loss: 0.3561	LR: 0.020000
Training Epoch: 23 [6144/46200]	Loss: 0.3323	LR: 0.020000
Training Epoch: 23 [6400/46200]	Loss: 0.3532	LR: 0.020000
Training Epoch: 23 [6656/46200]	Loss: 0.3336	LR: 0.020000
Training Epoch: 23 [6912/46200]	Loss: 0.3074	LR: 0.020000
Training Epoch: 23 [7168/46200]	Loss: 0.3648	LR: 0.020000
Training Epoch: 23 [7424/46200]	Loss: 0.3917	LR: 0.020000
Training Epoch: 23 [7680/46200]	Loss: 0.3176	LR: 0.020000
Training Epoch: 23 [7936/46200]	Loss: 0.4277	LR: 0.020000
Training Epoch: 23 [8192/46200]	Loss: 0.4428	LR: 0.020000
Training Epoch: 23 [8448/46200]	Loss: 0.3730	LR: 0.020000
Training Epoch: 23 [8704/46200]	Loss: 0.4636	LR: 0.020000
Training Epoch: 23 [8960/46200]	Loss: 0.4575	LR: 0.020000
Training Epoch: 23 [9216/46200]	Loss: 0.3510	LR: 0.020000
Training Epoch: 23 [9472/46200]	Loss: 0.3578	LR: 0.020000
Training Epoch: 23 [9728/46200]	Loss: 0.4094	LR: 0.020000
Training Epoch: 23 [9984/46200]	Loss: 0.4023	LR: 0.020000
Training Epoch: 23 [10240/46200]	Loss: 0.3583	LR: 0.020000
Training Epoch: 23 [10496/46200]	Loss: 0.2612	LR: 0.020000
Training Epoch: 23 [10752/46200]	Loss: 0.4277	LR: 0.020000
Training Epoch: 23 [11008/46200]	Loss: 0.3776	LR: 0.020000
Training Epoch: 23 [11264/46200]	Loss: 0.3943	LR: 0.020000
Training Epoch: 23 [11520/46200]	Loss: 0.4021	LR: 0.020000
Training Epoch: 23 [11776/46200]	Loss: 0.4282	LR: 0.020000
Training Epoch: 23 [12032/46200]	Loss: 0.3459	LR: 0.020000
Training Epoch: 23 [12288/46200]	Loss: 0.4768	LR: 0.020000
Training Epoch: 23 [12544/46200]	Loss: 0.4183	LR: 0.020000
Training Epoch: 23 [12800/46200]	Loss: 0.3905	LR: 0.020000
Training Epoch: 23 [13056/46200]	Loss: 0.4012	LR: 0.020000
Training Epoch: 23 [13312/46200]	Loss: 0.3664	LR: 0.020000
Training Epoch: 23 [13568/46200]	Loss: 0.4111	LR: 0.020000
Training Epoch: 23 [13824/46200]	Loss: 0.4678	LR: 0.020000
Training Epoch: 23 [14080/46200]	Loss: 0.4417	LR: 0.020000
Training Epoch: 23 [14336/46200]	Loss: 0.3669	LR: 0.020000
Training Epoch: 23 [14592/46200]	Loss: 0.6202	LR: 0.020000
Training Epoch: 23 [14848/46200]	Loss: 0.2956	LR: 0.020000
Training Epoch: 23 [15104/46200]	Loss: 0.4914	LR: 0.020000
Training Epoch: 23 [15360/46200]	Loss: 0.4275	LR: 0.020000
Training Epoch: 23 [15616/46200]	Loss: 0.4821	LR: 0.020000
Training Epoch: 23 [15872/46200]	Loss: 0.4034	LR: 0.020000
Training Epoch: 23 [16128/46200]	Loss: 0.3784	LR: 0.020000
Training Epoch: 23 [16384/46200]	Loss: 0.3884	LR: 0.020000
Training Epoch: 23 [16640/46200]	Loss: 0.3784	LR: 0.020000
Training Epoch: 23 [16896/46200]	Loss: 0.4740	LR: 0.020000
Training Epoch: 23 [17152/46200]	Loss: 0.4786	LR: 0.020000
Training Epoch: 23 [17408/46200]	Loss: 0.4239	LR: 0.020000
Training Epoch: 23 [17664/46200]	Loss: 0.4316	LR: 0.020000
Training Epoch: 23 [17920/46200]	Loss: 0.3251	LR: 0.020000
Training Epoch: 23 [18176/46200]	Loss: 0.3880	LR: 0.020000
Training Epoch: 23 [18432/46200]	Loss: 0.4026	LR: 0.020000
Training Epoch: 23 [18688/46200]	Loss: 0.5128	LR: 0.020000
Training Epoch: 23 [18944/46200]	Loss: 0.3827	LR: 0.020000
Training Epoch: 23 [19200/46200]	Loss: 0.4548	LR: 0.020000
Training Epoch: 23 [19456/46200]	Loss: 0.3707	LR: 0.020000
Training Epoch: 23 [19712/46200]	Loss: 0.4282	LR: 0.020000
Training Epoch: 23 [19968/46200]	Loss: 0.3689	LR: 0.020000
Training Epoch: 23 [20224/46200]	Loss: 0.3452	LR: 0.020000
Training Epoch: 23 [20480/46200]	Loss: 0.3870	LR: 0.020000
Training Epoch: 23 [20736/46200]	Loss: 0.3902	LR: 0.020000
Training Epoch: 23 [20992/46200]	Loss: 0.4169	LR: 0.020000
Training Epoch: 23 [21248/46200]	Loss: 0.4452	LR: 0.020000
Training Epoch: 23 [21504/46200]	Loss: 0.3195	LR: 0.020000
Training Epoch: 23 [21760/46200]	Loss: 0.4132	LR: 0.020000
Training Epoch: 23 [22016/46200]	Loss: 0.3424	LR: 0.020000
Training Epoch: 23 [22272/46200]	Loss: 0.3940	LR: 0.020000
Training Epoch: 23 [22528/46200]	Loss: 0.3115	LR: 0.020000
Training Epoch: 23 [22784/46200]	Loss: 0.4039	LR: 0.020000
Training Epoch: 23 [23040/46200]	Loss: 0.4867	LR: 0.020000
Training Epoch: 23 [23296/46200]	Loss: 0.4372	LR: 0.020000
Training Epoch: 23 [23552/46200]	Loss: 0.2925	LR: 0.020000
Training Epoch: 23 [23808/46200]	Loss: 0.4870	LR: 0.020000
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Training Epoch: 23 [25600/46200]	Loss: 0.3596	LR: 0.020000
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Training Epoch: 23 [27904/46200]	Loss: 0.4857	LR: 0.020000
Training Epoch: 23 [28160/46200]	Loss: 0.4921	LR: 0.020000
Training Epoch: 23 [28416/46200]	Loss: 0.3819	LR: 0.020000
Training Epoch: 23 [28672/46200]	Loss: 0.4858	LR: 0.020000
Training Epoch: 23 [28928/46200]	Loss: 0.4311	LR: 0.020000
Training Epoch: 23 [29184/46200]	Loss: 0.3720	LR: 0.020000
Training Epoch: 23 [29440/46200]	Loss: 0.4708	LR: 0.020000
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Training Epoch: 23 [30464/46200]	Loss: 0.4176	LR: 0.020000
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Training Epoch: 23 [40192/46200]	Loss: 0.4237	LR: 0.020000
Training Epoch: 23 [40448/46200]	Loss: 0.4598	LR: 0.020000
Training Epoch: 23 [40704/46200]	Loss: 0.3927	LR: 0.020000
Training Epoch: 23 [40960/46200]	Loss: 0.3448	LR: 0.020000
Training Epoch: 23 [41216/46200]	Loss: 0.4289	LR: 0.020000
Training Epoch: 23 [41472/46200]	Loss: 0.4638	LR: 0.020000
Training Epoch: 23 [41728/46200]	Loss: 0.3531	LR: 0.020000
Training Epoch: 23 [41984/46200]	Loss: 0.4649	LR: 0.020000
Training Epoch: 23 [42240/46200]	Loss: 0.4778	LR: 0.020000
Training Epoch: 23 [42496/46200]	Loss: 0.3924	LR: 0.020000
Training Epoch: 23 [42752/46200]	Loss: 0.4506	LR: 0.020000
Training Epoch: 23 [43008/46200]	Loss: 0.4235	LR: 0.020000
Training Epoch: 23 [43264/46200]	Loss: 0.4180	LR: 0.020000
Training Epoch: 23 [43520/46200]	Loss: 0.4628	LR: 0.020000
Training Epoch: 23 [43776/46200]	Loss: 0.4959	LR: 0.020000
Training Epoch: 23 [44032/46200]	Loss: 0.4134	LR: 0.020000
Training Epoch: 23 [44288/46200]	Loss: 0.4106	LR: 0.020000
Training Epoch: 23 [44544/46200]	Loss: 0.4909	LR: 0.020000
Training Epoch: 23 [44800/46200]	Loss: 0.4188	LR: 0.020000
Training Epoch: 23 [45056/46200]	Loss: 0.4315	LR: 0.020000
Training Epoch: 23 [45312/46200]	Loss: 0.4935	LR: 0.020000
Training Epoch: 23 [45568/46200]	Loss: 0.4466	LR: 0.020000
Training Epoch: 23 [45824/46200]	Loss: 0.4626	LR: 0.020000
Training Epoch: 23 [46080/46200]	Loss: 0.3518	LR: 0.020000
Training Epoch: 23 [46200/46200]	Loss: 0.3709	LR: 0.020000
Epoch 23 - Average Train Loss: 0.4143, Train Accuracy: 0.8619
Epoch 23 training time consumed: 27.82s
Evaluating Network.....
Test set: Epoch: 23, Average loss: 0.0032, Accuracy: 0.7595, Time consumed:0.93s
Training Epoch: 24 [256/46200]	Loss: 0.3280	LR: 0.020000
Training Epoch: 24 [512/46200]	Loss: 0.3752	LR: 0.020000
Training Epoch: 24 [768/46200]	Loss: 0.3660	LR: 0.020000
Training Epoch: 24 [1024/46200]	Loss: 0.4713	LR: 0.020000
Training Epoch: 24 [1280/46200]	Loss: 0.4200	LR: 0.020000
Training Epoch: 24 [1536/46200]	Loss: 0.4337	LR: 0.020000
Training Epoch: 24 [1792/46200]	Loss: 0.3425	LR: 0.020000
Training Epoch: 24 [2048/46200]	Loss: 0.3826	LR: 0.020000
Training Epoch: 24 [2304/46200]	Loss: 0.3742	LR: 0.020000
Training Epoch: 24 [2560/46200]	Loss: 0.3771	LR: 0.020000
Training Epoch: 24 [2816/46200]	Loss: 0.4118	LR: 0.020000
Training Epoch: 24 [3072/46200]	Loss: 0.4302	LR: 0.020000
Training Epoch: 24 [3328/46200]	Loss: 0.2914	LR: 0.020000
Training Epoch: 24 [3584/46200]	Loss: 0.4139	LR: 0.020000
Training Epoch: 24 [3840/46200]	Loss: 0.3268	LR: 0.020000
Training Epoch: 24 [4096/46200]	Loss: 0.3805	LR: 0.020000
Training Epoch: 24 [4352/46200]	Loss: 0.4455	LR: 0.020000
Training Epoch: 24 [4608/46200]	Loss: 0.4378	LR: 0.020000
Training Epoch: 24 [4864/46200]	Loss: 0.3656	LR: 0.020000
Training Epoch: 24 [5120/46200]	Loss: 0.4146	LR: 0.020000
Training Epoch: 24 [5376/46200]	Loss: 0.3572	LR: 0.020000
Training Epoch: 24 [5632/46200]	Loss: 0.3441	LR: 0.020000
Training Epoch: 24 [5888/46200]	Loss: 0.3812	LR: 0.020000
Training Epoch: 24 [6144/46200]	Loss: 0.4044	LR: 0.020000
Training Epoch: 24 [6400/46200]	Loss: 0.3833	LR: 0.020000
Training Epoch: 24 [6656/46200]	Loss: 0.3805	LR: 0.020000
Training Epoch: 24 [6912/46200]	Loss: 0.3787	LR: 0.020000
Training Epoch: 24 [7168/46200]	Loss: 0.4190	LR: 0.020000
Training Epoch: 24 [7424/46200]	Loss: 0.3826	LR: 0.020000
Training Epoch: 24 [7680/46200]	Loss: 0.2886	LR: 0.020000
Training Epoch: 24 [7936/46200]	Loss: 0.3812	LR: 0.020000
Training Epoch: 24 [8192/46200]	Loss: 0.3992	LR: 0.020000
Training Epoch: 24 [8448/46200]	Loss: 0.4170	LR: 0.020000
Training Epoch: 24 [8704/46200]	Loss: 0.2984	LR: 0.020000
Training Epoch: 24 [8960/46200]	Loss: 0.3263	LR: 0.020000
Training Epoch: 24 [9216/46200]	Loss: 0.3924	LR: 0.020000
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Training Epoch: 24 [9728/46200]	Loss: 0.3964	LR: 0.020000
Training Epoch: 24 [9984/46200]	Loss: 0.3915	LR: 0.020000
Training Epoch: 24 [10240/46200]	Loss: 0.3429	LR: 0.020000
Training Epoch: 24 [10496/46200]	Loss: 0.4489	LR: 0.020000
Training Epoch: 24 [10752/46200]	Loss: 0.4292	LR: 0.020000
Training Epoch: 24 [11008/46200]	Loss: 0.2852	LR: 0.020000
Training Epoch: 24 [11264/46200]	Loss: 0.3763	LR: 0.020000
Training Epoch: 24 [11520/46200]	Loss: 0.5113	LR: 0.020000
Training Epoch: 24 [11776/46200]	Loss: 0.3440	LR: 0.020000
Training Epoch: 24 [12032/46200]	Loss: 0.3644	LR: 0.020000
Training Epoch: 24 [12288/46200]	Loss: 0.2901	LR: 0.020000
Training Epoch: 24 [12544/46200]	Loss: 0.3505	LR: 0.020000
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Training Epoch: 24 [13056/46200]	Loss: 0.3431	LR: 0.020000
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Training Epoch: 24 [15104/46200]	Loss: 0.3529	LR: 0.020000
Training Epoch: 24 [15360/46200]	Loss: 0.3796	LR: 0.020000
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Training Epoch: 24 [15872/46200]	Loss: 0.3796	LR: 0.020000
Training Epoch: 24 [16128/46200]	Loss: 0.4587	LR: 0.020000
Training Epoch: 24 [16384/46200]	Loss: 0.4653	LR: 0.020000
Training Epoch: 24 [16640/46200]	Loss: 0.4246	LR: 0.020000
Training Epoch: 24 [16896/46200]	Loss: 0.3110	LR: 0.020000
Training Epoch: 24 [17152/46200]	Loss: 0.4346	LR: 0.020000
Training Epoch: 24 [17408/46200]	Loss: 0.3964	LR: 0.020000
Training Epoch: 24 [17664/46200]	Loss: 0.4091	LR: 0.020000
Training Epoch: 24 [17920/46200]	Loss: 0.3521	LR: 0.020000
Training Epoch: 24 [18176/46200]	Loss: 0.3231	LR: 0.020000
Training Epoch: 24 [18432/46200]	Loss: 0.3706	LR: 0.020000
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Training Epoch: 24 [19456/46200]	Loss: 0.4242	LR: 0.020000
Training Epoch: 24 [19712/46200]	Loss: 0.3810	LR: 0.020000
Training Epoch: 24 [19968/46200]	Loss: 0.4342	LR: 0.020000
Training Epoch: 24 [20224/46200]	Loss: 0.3601	LR: 0.020000
Training Epoch: 24 [20480/46200]	Loss: 0.4674	LR: 0.020000
Training Epoch: 24 [20736/46200]	Loss: 0.4043	LR: 0.020000
Training Epoch: 24 [20992/46200]	Loss: 0.5025	LR: 0.020000
Training Epoch: 24 [21248/46200]	Loss: 0.4377	LR: 0.020000
Training Epoch: 24 [21504/46200]	Loss: 0.4236	LR: 0.020000
Training Epoch: 24 [21760/46200]	Loss: 0.2914	LR: 0.020000
Training Epoch: 24 [22016/46200]	Loss: 0.3851	LR: 0.020000
Training Epoch: 24 [22272/46200]	Loss: 0.5154	LR: 0.020000
Training Epoch: 24 [22528/46200]	Loss: 0.3663	LR: 0.020000
Training Epoch: 24 [22784/46200]	Loss: 0.4629	LR: 0.020000
Training Epoch: 24 [23040/46200]	Loss: 0.5997	LR: 0.020000
Training Epoch: 24 [23296/46200]	Loss: 0.4316	LR: 0.020000
Training Epoch: 24 [23552/46200]	Loss: 0.3515	LR: 0.020000
Training Epoch: 24 [23808/46200]	Loss: 0.4316	LR: 0.020000
Training Epoch: 24 [24064/46200]	Loss: 0.4251	LR: 0.020000
Training Epoch: 24 [24320/46200]	Loss: 0.4280	LR: 0.020000
Training Epoch: 24 [24576/46200]	Loss: 0.4495	LR: 0.020000
Training Epoch: 24 [24832/46200]	Loss: 0.3638	LR: 0.020000
Training Epoch: 24 [25088/46200]	Loss: 0.4559	LR: 0.020000
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Training Epoch: 24 [26880/46200]	Loss: 0.2831	LR: 0.020000
Training Epoch: 24 [27136/46200]	Loss: 0.3931	LR: 0.020000
Training Epoch: 24 [27392/46200]	Loss: 0.3393	LR: 0.020000
Training Epoch: 24 [27648/46200]	Loss: 0.3730	LR: 0.020000
Training Epoch: 24 [27904/46200]	Loss: 0.3688	LR: 0.020000
Training Epoch: 24 [28160/46200]	Loss: 0.4270	LR: 0.020000
Training Epoch: 24 [28416/46200]	Loss: 0.4494	LR: 0.020000
Training Epoch: 24 [28672/46200]	Loss: 0.3541	LR: 0.020000
Training Epoch: 24 [28928/46200]	Loss: 0.4598	LR: 0.020000
Training Epoch: 24 [29184/46200]	Loss: 0.3832	LR: 0.020000
Training Epoch: 24 [29440/46200]	Loss: 0.4276	LR: 0.020000
Training Epoch: 24 [29696/46200]	Loss: 0.4674	LR: 0.020000
Training Epoch: 24 [29952/46200]	Loss: 0.4211	LR: 0.020000
Training Epoch: 24 [30208/46200]	Loss: 0.4827	LR: 0.020000
Training Epoch: 24 [30464/46200]	Loss: 0.3766	LR: 0.020000
Training Epoch: 24 [30720/46200]	Loss: 0.3981	LR: 0.020000
Training Epoch: 24 [30976/46200]	Loss: 0.3387	LR: 0.020000
Training Epoch: 24 [31232/46200]	Loss: 0.4200	LR: 0.020000
Training Epoch: 24 [31488/46200]	Loss: 0.4701	LR: 0.020000
Training Epoch: 24 [31744/46200]	Loss: 0.4192	LR: 0.020000
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Training Epoch: 24 [38656/46200]	Loss: 0.4486	LR: 0.020000
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Training Epoch: 24 [39936/46200]	Loss: 0.5196	LR: 0.020000
Training Epoch: 24 [40192/46200]	Loss: 0.5587	LR: 0.020000
Training Epoch: 24 [40448/46200]	Loss: 0.4745	LR: 0.020000
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Training Epoch: 24 [40960/46200]	Loss: 0.3389	LR: 0.020000
Training Epoch: 24 [41216/46200]	Loss: 0.3822	LR: 0.020000
Training Epoch: 24 [41472/46200]	Loss: 0.4013	LR: 0.020000
Training Epoch: 24 [41728/46200]	Loss: 0.4374	LR: 0.020000
Training Epoch: 24 [41984/46200]	Loss: 0.3294	LR: 0.020000
Training Epoch: 24 [42240/46200]	Loss: 0.5216	LR: 0.020000
Training Epoch: 24 [42496/46200]	Loss: 0.4648	LR: 0.020000
Training Epoch: 24 [42752/46200]	Loss: 0.4706	LR: 0.020000
Training Epoch: 24 [43008/46200]	Loss: 0.3776	LR: 0.020000
Training Epoch: 24 [43264/46200]	Loss: 0.4463	LR: 0.020000
Training Epoch: 24 [43520/46200]	Loss: 0.4192	LR: 0.020000
Training Epoch: 24 [43776/46200]	Loss: 0.4717	LR: 0.020000
Training Epoch: 24 [44032/46200]	Loss: 0.4579	LR: 0.020000
Training Epoch: 24 [44288/46200]	Loss: 0.5378	LR: 0.020000
Training Epoch: 24 [44544/46200]	Loss: 0.5025	LR: 0.020000
Training Epoch: 24 [44800/46200]	Loss: 0.3929	LR: 0.020000
Training Epoch: 24 [45056/46200]	Loss: 0.4106	LR: 0.020000
Training Epoch: 24 [45312/46200]	Loss: 0.4087	LR: 0.020000
Training Epoch: 24 [45568/46200]	Loss: 0.4143	LR: 0.020000
Training Epoch: 24 [45824/46200]	Loss: 0.4979	LR: 0.020000
Training Epoch: 24 [46080/46200]	Loss: 0.3006	LR: 0.020000
Training Epoch: 24 [46200/46200]	Loss: 0.5614	LR: 0.020000
Epoch 24 - Average Train Loss: 0.4068, Train Accuracy: 0.8629
Epoch 24 training time consumed: 27.95s
Evaluating Network.....
Test set: Epoch: 24, Average loss: 0.0032, Accuracy: 0.7599, Time consumed:0.91s
Training Epoch: 25 [256/46200]	Loss: 0.3502	LR: 0.020000
Training Epoch: 25 [512/46200]	Loss: 0.3394	LR: 0.020000
Training Epoch: 25 [768/46200]	Loss: 0.3486	LR: 0.020000
Training Epoch: 25 [1024/46200]	Loss: 0.3842	LR: 0.020000
Training Epoch: 25 [1280/46200]	Loss: 0.3577	LR: 0.020000
Training Epoch: 25 [1536/46200]	Loss: 0.3671	LR: 0.020000
Training Epoch: 25 [1792/46200]	Loss: 0.3080	LR: 0.020000
Training Epoch: 25 [2048/46200]	Loss: 0.3704	LR: 0.020000
Training Epoch: 25 [2304/46200]	Loss: 0.3288	LR: 0.020000
Training Epoch: 25 [2560/46200]	Loss: 0.4196	LR: 0.020000
Training Epoch: 25 [2816/46200]	Loss: 0.3945	LR: 0.020000
Training Epoch: 25 [3072/46200]	Loss: 0.3169	LR: 0.020000
Training Epoch: 25 [3328/46200]	Loss: 0.3423	LR: 0.020000
Training Epoch: 25 [3584/46200]	Loss: 0.3863	LR: 0.020000
Training Epoch: 25 [3840/46200]	Loss: 0.4093	LR: 0.020000
Training Epoch: 25 [4096/46200]	Loss: 0.3313	LR: 0.020000
Training Epoch: 25 [4352/46200]	Loss: 0.3535	LR: 0.020000
Training Epoch: 25 [4608/46200]	Loss: 0.4090	LR: 0.020000
Training Epoch: 25 [4864/46200]	Loss: 0.3638	LR: 0.020000
Training Epoch: 25 [5120/46200]	Loss: 0.3039	LR: 0.020000
Training Epoch: 25 [5376/46200]	Loss: 0.3814	LR: 0.020000
Training Epoch: 25 [5632/46200]	Loss: 0.3719	LR: 0.020000
Training Epoch: 25 [5888/46200]	Loss: 0.2913	LR: 0.020000
Training Epoch: 25 [6144/46200]	Loss: 0.4215	LR: 0.020000
Training Epoch: 25 [6400/46200]	Loss: 0.4261	LR: 0.020000
Training Epoch: 25 [6656/46200]	Loss: 0.3384	LR: 0.020000
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Training Epoch: 25 [7168/46200]	Loss: 0.4482	LR: 0.020000
Training Epoch: 25 [7424/46200]	Loss: 0.2760	LR: 0.020000
Training Epoch: 25 [7680/46200]	Loss: 0.3335	LR: 0.020000
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Training Epoch: 25 [8448/46200]	Loss: 0.3683	LR: 0.020000
Training Epoch: 25 [8704/46200]	Loss: 0.3138	LR: 0.020000
Training Epoch: 25 [8960/46200]	Loss: 0.4120	LR: 0.020000
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Training Epoch: 25 [9728/46200]	Loss: 0.4216	LR: 0.020000
Training Epoch: 25 [9984/46200]	Loss: 0.4409	LR: 0.020000
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Training Epoch: 25 [27904/46200]	Loss: 0.3720	LR: 0.020000
Training Epoch: 25 [28160/46200]	Loss: 0.3311	LR: 0.020000
Training Epoch: 25 [28416/46200]	Loss: 0.4067	LR: 0.020000
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Training Epoch: 25 [28928/46200]	Loss: 0.3620	LR: 0.020000
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Training Epoch: 25 [29440/46200]	Loss: 0.3455	LR: 0.020000
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Training Epoch: 25 [40192/46200]	Loss: 0.3629	LR: 0.020000
Training Epoch: 25 [40448/46200]	Loss: 0.5166	LR: 0.020000
Training Epoch: 25 [40704/46200]	Loss: 0.4784	LR: 0.020000
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Training Epoch: 25 [41984/46200]	Loss: 0.4086	LR: 0.020000
Training Epoch: 25 [42240/46200]	Loss: 0.4324	LR: 0.020000
Training Epoch: 25 [42496/46200]	Loss: 0.3968	LR: 0.020000
Training Epoch: 25 [42752/46200]	Loss: 0.3970	LR: 0.020000
Training Epoch: 25 [43008/46200]	Loss: 0.5274	LR: 0.020000
Training Epoch: 25 [43264/46200]	Loss: 0.3912	LR: 0.020000
Training Epoch: 25 [43520/46200]	Loss: 0.3159	LR: 0.020000
Training Epoch: 25 [43776/46200]	Loss: 0.4735	LR: 0.020000
Training Epoch: 25 [44032/46200]	Loss: 0.3999	LR: 0.020000
Training Epoch: 25 [44288/46200]	Loss: 0.4338	LR: 0.020000
Training Epoch: 25 [44544/46200]	Loss: 0.3066	LR: 0.020000
Training Epoch: 25 [44800/46200]	Loss: 0.3891	LR: 0.020000
Training Epoch: 25 [45056/46200]	Loss: 0.3990	LR: 0.020000
Training Epoch: 25 [45312/46200]	Loss: 0.4176	LR: 0.020000
Training Epoch: 25 [45568/46200]	Loss: 0.4749	LR: 0.020000
Training Epoch: 25 [45824/46200]	Loss: 0.4023	LR: 0.020000
Training Epoch: 25 [46080/46200]	Loss: 0.3751	LR: 0.020000
Training Epoch: 25 [46200/46200]	Loss: 0.4423	LR: 0.020000
Epoch 25 - Average Train Loss: 0.3857, Train Accuracy: 0.8716
Epoch 25 training time consumed: 27.65s
Evaluating Network.....
Test set: Epoch: 25, Average loss: 0.0032, Accuracy: 0.7692, Time consumed:0.92s
Training Epoch: 26 [256/46200]	Loss: 0.4252	LR: 0.020000
Training Epoch: 26 [512/46200]	Loss: 0.3485	LR: 0.020000
Training Epoch: 26 [768/46200]	Loss: 0.3139	LR: 0.020000
Training Epoch: 26 [1024/46200]	Loss: 0.3208	LR: 0.020000
Training Epoch: 26 [1280/46200]	Loss: 0.2756	LR: 0.020000
Training Epoch: 26 [1536/46200]	Loss: 0.2724	LR: 0.020000
Training Epoch: 26 [1792/46200]	Loss: 0.3864	LR: 0.020000
Training Epoch: 26 [2048/46200]	Loss: 0.3703	LR: 0.020000
Training Epoch: 26 [2304/46200]	Loss: 0.4370	LR: 0.020000
Training Epoch: 26 [2560/46200]	Loss: 0.3946	LR: 0.020000
Training Epoch: 26 [2816/46200]	Loss: 0.4004	LR: 0.020000
Training Epoch: 26 [3072/46200]	Loss: 0.3650	LR: 0.020000
Training Epoch: 26 [3328/46200]	Loss: 0.3273	LR: 0.020000
Training Epoch: 26 [3584/46200]	Loss: 0.3194	LR: 0.020000
Training Epoch: 26 [3840/46200]	Loss: 0.4111	LR: 0.020000
Training Epoch: 26 [4096/46200]	Loss: 0.3365	LR: 0.020000
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Training Epoch: 26 [4608/46200]	Loss: 0.3301	LR: 0.020000
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Training Epoch: 26 [5120/46200]	Loss: 0.3863	LR: 0.020000
Training Epoch: 26 [5376/46200]	Loss: 0.3897	LR: 0.020000
Training Epoch: 26 [5632/46200]	Loss: 0.3332	LR: 0.020000
Training Epoch: 26 [5888/46200]	Loss: 0.3392	LR: 0.020000
Training Epoch: 26 [6144/46200]	Loss: 0.3311	LR: 0.020000
Training Epoch: 26 [6400/46200]	Loss: 0.3767	LR: 0.020000
Training Epoch: 26 [6656/46200]	Loss: 0.3570	LR: 0.020000
Training Epoch: 26 [6912/46200]	Loss: 0.3112	LR: 0.020000
Training Epoch: 26 [7168/46200]	Loss: 0.3204	LR: 0.020000
Training Epoch: 26 [7424/46200]	Loss: 0.3069	LR: 0.020000
Training Epoch: 26 [7680/46200]	Loss: 0.3848	LR: 0.020000
Training Epoch: 26 [7936/46200]	Loss: 0.4408	LR: 0.020000
Training Epoch: 26 [8192/46200]	Loss: 0.3975	LR: 0.020000
Training Epoch: 26 [8448/46200]	Loss: 0.3710	LR: 0.020000
Training Epoch: 26 [8704/46200]	Loss: 0.3760	LR: 0.020000
Training Epoch: 26 [8960/46200]	Loss: 0.3462	LR: 0.020000
Training Epoch: 26 [9216/46200]	Loss: 0.3768	LR: 0.020000
Training Epoch: 26 [9472/46200]	Loss: 0.3871	LR: 0.020000
Training Epoch: 26 [9728/46200]	Loss: 0.2487	LR: 0.020000
Training Epoch: 26 [9984/46200]	Loss: 0.3887	LR: 0.020000
Training Epoch: 26 [10240/46200]	Loss: 0.3320	LR: 0.020000
Training Epoch: 26 [10496/46200]	Loss: 0.4460	LR: 0.020000
Training Epoch: 26 [10752/46200]	Loss: 0.2986	LR: 0.020000
Training Epoch: 26 [11008/46200]	Loss: 0.3937	LR: 0.020000
Training Epoch: 26 [11264/46200]	Loss: 0.3580	LR: 0.020000
Training Epoch: 26 [11520/46200]	Loss: 0.4255	LR: 0.020000
Training Epoch: 26 [11776/46200]	Loss: 0.3675	LR: 0.020000
Training Epoch: 26 [12032/46200]	Loss: 0.3728	LR: 0.020000
Training Epoch: 26 [12288/46200]	Loss: 0.3452	LR: 0.020000
Training Epoch: 26 [12544/46200]	Loss: 0.3184	LR: 0.020000
Training Epoch: 26 [12800/46200]	Loss: 0.3633	LR: 0.020000
Training Epoch: 26 [13056/46200]	Loss: 0.3106	LR: 0.020000
Training Epoch: 26 [13312/46200]	Loss: 0.4113	LR: 0.020000
Training Epoch: 26 [13568/46200]	Loss: 0.3161	LR: 0.020000
Training Epoch: 26 [13824/46200]	Loss: 0.3801	LR: 0.020000
Training Epoch: 26 [14080/46200]	Loss: 0.4544	LR: 0.020000
Training Epoch: 26 [14336/46200]	Loss: 0.3199	LR: 0.020000
Training Epoch: 26 [14592/46200]	Loss: 0.3624	LR: 0.020000
Training Epoch: 26 [14848/46200]	Loss: 0.3741	LR: 0.020000
Training Epoch: 26 [15104/46200]	Loss: 0.3434	LR: 0.020000
Training Epoch: 26 [15360/46200]	Loss: 0.2909	LR: 0.020000
Training Epoch: 26 [15616/46200]	Loss: 0.4084	LR: 0.020000
Training Epoch: 26 [15872/46200]	Loss: 0.3709	LR: 0.020000
Training Epoch: 26 [16128/46200]	Loss: 0.3373	LR: 0.020000
Training Epoch: 26 [16384/46200]	Loss: 0.3148	LR: 0.020000
Training Epoch: 26 [16640/46200]	Loss: 0.4465	LR: 0.020000
Training Epoch: 26 [16896/46200]	Loss: 0.3888	LR: 0.020000
Training Epoch: 26 [17152/46200]	Loss: 0.3704	LR: 0.020000
Training Epoch: 26 [17408/46200]	Loss: 0.2896	LR: 0.020000
Training Epoch: 26 [17664/46200]	Loss: 0.3128	LR: 0.020000
Training Epoch: 26 [17920/46200]	Loss: 0.3210	LR: 0.020000
Training Epoch: 26 [18176/46200]	Loss: 0.3112	LR: 0.020000
Training Epoch: 26 [18432/46200]	Loss: 0.3036	LR: 0.020000
Training Epoch: 26 [18688/46200]	Loss: 0.3348	LR: 0.020000
Training Epoch: 26 [18944/46200]	Loss: 0.4151	LR: 0.020000
Training Epoch: 26 [19200/46200]	Loss: 0.2933	LR: 0.020000
Training Epoch: 26 [19456/46200]	Loss: 0.3342	LR: 0.020000
Training Epoch: 26 [19712/46200]	Loss: 0.4079	LR: 0.020000
Training Epoch: 26 [19968/46200]	Loss: 0.3338	LR: 0.020000
Training Epoch: 26 [20224/46200]	Loss: 0.4483	LR: 0.020000
Training Epoch: 26 [20480/46200]	Loss: 0.3041	LR: 0.020000
Training Epoch: 26 [20736/46200]	Loss: 0.3470	LR: 0.020000
Training Epoch: 26 [20992/46200]	Loss: 0.4141	LR: 0.020000
Training Epoch: 26 [21248/46200]	Loss: 0.3388	LR: 0.020000
Training Epoch: 26 [21504/46200]	Loss: 0.3399	LR: 0.020000
Training Epoch: 26 [21760/46200]	Loss: 0.4030	LR: 0.020000
Training Epoch: 26 [22016/46200]	Loss: 0.4904	LR: 0.020000
Training Epoch: 26 [22272/46200]	Loss: 0.3597	LR: 0.020000
Training Epoch: 26 [22528/46200]	Loss: 0.4679	LR: 0.020000
Training Epoch: 26 [22784/46200]	Loss: 0.4398	LR: 0.020000
Training Epoch: 26 [23040/46200]	Loss: 0.4025	LR: 0.020000
Training Epoch: 26 [23296/46200]	Loss: 0.3714	LR: 0.020000
Training Epoch: 26 [23552/46200]	Loss: 0.3574	LR: 0.020000
Training Epoch: 26 [23808/46200]	Loss: 0.4564	LR: 0.020000
Training Epoch: 26 [24064/46200]	Loss: 0.2728	LR: 0.020000
Training Epoch: 26 [24320/46200]	Loss: 0.3246	LR: 0.020000
Training Epoch: 26 [24576/46200]	Loss: 0.2965	LR: 0.020000
Training Epoch: 26 [24832/46200]	Loss: 0.3495	LR: 0.020000
Training Epoch: 26 [25088/46200]	Loss: 0.3376	LR: 0.020000
Training Epoch: 26 [25344/46200]	Loss: 0.4258	LR: 0.020000
Training Epoch: 26 [25600/46200]	Loss: 0.3443	LR: 0.020000
Training Epoch: 26 [25856/46200]	Loss: 0.4137	LR: 0.020000
Training Epoch: 26 [26112/46200]	Loss: 0.4152	LR: 0.020000
Training Epoch: 26 [26368/46200]	Loss: 0.2723	LR: 0.020000
Training Epoch: 26 [26624/46200]	Loss: 0.3630	LR: 0.020000
Training Epoch: 26 [26880/46200]	Loss: 0.3196	LR: 0.020000
Training Epoch: 26 [27136/46200]	Loss: 0.3494	LR: 0.020000
Training Epoch: 26 [27392/46200]	Loss: 0.3158	LR: 0.020000
Training Epoch: 26 [27648/46200]	Loss: 0.3873	LR: 0.020000
Training Epoch: 26 [27904/46200]	Loss: 0.4891	LR: 0.020000
Training Epoch: 26 [28160/46200]	Loss: 0.3019	LR: 0.020000
Training Epoch: 26 [28416/46200]	Loss: 0.3763	LR: 0.020000
Training Epoch: 26 [28672/46200]	Loss: 0.3651	LR: 0.020000
Training Epoch: 26 [28928/46200]	Loss: 0.3113	LR: 0.020000
Training Epoch: 26 [29184/46200]	Loss: 0.3886	LR: 0.020000
Training Epoch: 26 [29440/46200]	Loss: 0.2910	LR: 0.020000
Training Epoch: 26 [29696/46200]	Loss: 0.3837	LR: 0.020000
Training Epoch: 26 [29952/46200]	Loss: 0.3759	LR: 0.020000
Training Epoch: 26 [30208/46200]	Loss: 0.4713	LR: 0.020000
Training Epoch: 26 [30464/46200]	Loss: 0.3974	LR: 0.020000
Training Epoch: 26 [30720/46200]	Loss: 0.4986	LR: 0.020000
Training Epoch: 26 [30976/46200]	Loss: 0.4187	LR: 0.020000
Training Epoch: 26 [31232/46200]	Loss: 0.4830	LR: 0.020000
Training Epoch: 26 [31488/46200]	Loss: 0.4278	LR: 0.020000
Training Epoch: 26 [31744/46200]	Loss: 0.3753	LR: 0.020000
Training Epoch: 26 [32000/46200]	Loss: 0.3608	LR: 0.020000
Training Epoch: 26 [32256/46200]	Loss: 0.3288	LR: 0.020000
Training Epoch: 26 [32512/46200]	Loss: 0.4180	LR: 0.020000
Training Epoch: 26 [32768/46200]	Loss: 0.3983	LR: 0.020000
Training Epoch: 26 [33024/46200]	Loss: 0.3643	LR: 0.020000
Training Epoch: 26 [33280/46200]	Loss: 0.3903	LR: 0.020000
Training Epoch: 26 [33536/46200]	Loss: 0.3412	LR: 0.020000
Training Epoch: 26 [33792/46200]	Loss: 0.4048	LR: 0.020000
Training Epoch: 26 [34048/46200]	Loss: 0.3756	LR: 0.020000
Training Epoch: 26 [34304/46200]	Loss: 0.4389	LR: 0.020000
Training Epoch: 26 [34560/46200]	Loss: 0.3948	LR: 0.020000
Training Epoch: 26 [34816/46200]	Loss: 0.4058	LR: 0.020000
Training Epoch: 26 [35072/46200]	Loss: 0.4337	LR: 0.020000
Training Epoch: 26 [35328/46200]	Loss: 0.3758	LR: 0.020000
Training Epoch: 26 [35584/46200]	Loss: 0.3879	LR: 0.020000
Training Epoch: 26 [35840/46200]	Loss: 0.3547	LR: 0.020000
Training Epoch: 26 [36096/46200]	Loss: 0.3786	LR: 0.020000
Training Epoch: 26 [36352/46200]	Loss: 0.4436	LR: 0.020000
Training Epoch: 26 [36608/46200]	Loss: 0.3449	LR: 0.020000
Training Epoch: 26 [36864/46200]	Loss: 0.4828	LR: 0.020000
Training Epoch: 26 [37120/46200]	Loss: 0.3876	LR: 0.020000
Training Epoch: 26 [37376/46200]	Loss: 0.4716	LR: 0.020000
Training Epoch: 26 [37632/46200]	Loss: 0.4803	LR: 0.020000
Training Epoch: 26 [37888/46200]	Loss: 0.3564	LR: 0.020000
Training Epoch: 26 [38144/46200]	Loss: 0.4308	LR: 0.020000
Training Epoch: 26 [38400/46200]	Loss: 0.3922	LR: 0.020000
Training Epoch: 26 [38656/46200]	Loss: 0.4887	LR: 0.020000
Training Epoch: 26 [38912/46200]	Loss: 0.4770	LR: 0.020000
Training Epoch: 26 [39168/46200]	Loss: 0.4369	LR: 0.020000
Training Epoch: 26 [39424/46200]	Loss: 0.3038	LR: 0.020000
Training Epoch: 26 [39680/46200]	Loss: 0.3985	LR: 0.020000
Training Epoch: 26 [39936/46200]	Loss: 0.3222	LR: 0.020000
Training Epoch: 26 [40192/46200]	Loss: 0.4199	LR: 0.020000
Training Epoch: 26 [40448/46200]	Loss: 0.4504	LR: 0.020000
Training Epoch: 26 [40704/46200]	Loss: 0.3760	LR: 0.020000
Training Epoch: 26 [40960/46200]	Loss: 0.4140	LR: 0.020000
Training Epoch: 26 [41216/46200]	Loss: 0.4125	LR: 0.020000
Training Epoch: 26 [41472/46200]	Loss: 0.4637	LR: 0.020000
Training Epoch: 26 [41728/46200]	Loss: 0.3327	LR: 0.020000
Training Epoch: 26 [41984/46200]	Loss: 0.3512	LR: 0.020000
Training Epoch: 26 [42240/46200]	Loss: 0.3156	LR: 0.020000
Training Epoch: 26 [42496/46200]	Loss: 0.2958	LR: 0.020000
Training Epoch: 26 [42752/46200]	Loss: 0.4016	LR: 0.020000
Training Epoch: 26 [43008/46200]	Loss: 0.4789	LR: 0.020000
Training Epoch: 26 [43264/46200]	Loss: 0.4565	LR: 0.020000
Training Epoch: 26 [43520/46200]	Loss: 0.4505	LR: 0.020000
Training Epoch: 26 [43776/46200]	Loss: 0.3967	LR: 0.020000
Training Epoch: 26 [44032/46200]	Loss: 0.3106	LR: 0.020000
Training Epoch: 26 [44288/46200]	Loss: 0.3431	LR: 0.020000
Training Epoch: 26 [44544/46200]	Loss: 0.4816	LR: 0.020000
Training Epoch: 26 [44800/46200]	Loss: 0.3380	LR: 0.020000
Training Epoch: 26 [45056/46200]	Loss: 0.4111	LR: 0.020000
Training Epoch: 26 [45312/46200]	Loss: 0.4132	LR: 0.020000
Training Epoch: 26 [45568/46200]	Loss: 0.4067	LR: 0.020000
Training Epoch: 26 [45824/46200]	Loss: 0.3459	LR: 0.020000
Training Epoch: 26 [46080/46200]	Loss: 0.4677	LR: 0.020000
Training Epoch: 26 [46200/46200]	Loss: 0.4551	LR: 0.020000
Epoch 26 - Average Train Loss: 0.3752, Train Accuracy: 0.8754
Epoch 26 training time consumed: 27.72s
Evaluating Network.....
Test set: Epoch: 26, Average loss: 0.0032, Accuracy: 0.7692, Time consumed:0.89s
Training Epoch: 27 [256/46200]	Loss: 0.3286	LR: 0.020000
Training Epoch: 27 [512/46200]	Loss: 0.3264	LR: 0.020000
Training Epoch: 27 [768/46200]	Loss: 0.3834	LR: 0.020000
Training Epoch: 27 [1024/46200]	Loss: 0.3765	LR: 0.020000
Training Epoch: 27 [1280/46200]	Loss: 0.3418	LR: 0.020000
Training Epoch: 27 [1536/46200]	Loss: 0.3883	LR: 0.020000
Training Epoch: 27 [1792/46200]	Loss: 0.3528	LR: 0.020000
Training Epoch: 27 [2048/46200]	Loss: 0.3887	LR: 0.020000
Training Epoch: 27 [2304/46200]	Loss: 0.4203	LR: 0.020000
Training Epoch: 27 [2560/46200]	Loss: 0.3764	LR: 0.020000
Training Epoch: 27 [2816/46200]	Loss: 0.2867	LR: 0.020000
Training Epoch: 27 [3072/46200]	Loss: 0.3035	LR: 0.020000
Training Epoch: 27 [3328/46200]	Loss: 0.2978	LR: 0.020000
Training Epoch: 27 [3584/46200]	Loss: 0.3122	LR: 0.020000
Training Epoch: 27 [3840/46200]	Loss: 0.4513	LR: 0.020000
Training Epoch: 27 [4096/46200]	Loss: 0.3855	LR: 0.020000
Training Epoch: 27 [4352/46200]	Loss: 0.2817	LR: 0.020000
Training Epoch: 27 [4608/46200]	Loss: 0.4135	LR: 0.020000
Training Epoch: 27 [4864/46200]	Loss: 0.3045	LR: 0.020000
Training Epoch: 27 [5120/46200]	Loss: 0.3179	LR: 0.020000
Training Epoch: 27 [5376/46200]	Loss: 0.2898	LR: 0.020000
Training Epoch: 27 [5632/46200]	Loss: 0.3028	LR: 0.020000
Training Epoch: 27 [5888/46200]	Loss: 0.3896	LR: 0.020000
Training Epoch: 27 [6144/46200]	Loss: 0.2530	LR: 0.020000
Training Epoch: 27 [6400/46200]	Loss: 0.3724	LR: 0.020000
Training Epoch: 27 [6656/46200]	Loss: 0.3252	LR: 0.020000
Training Epoch: 27 [6912/46200]	Loss: 0.3770	LR: 0.020000
Training Epoch: 27 [7168/46200]	Loss: 0.3476	LR: 0.020000
Training Epoch: 27 [7424/46200]	Loss: 0.3483	LR: 0.020000
Training Epoch: 27 [7680/46200]	Loss: 0.3227	LR: 0.020000
Training Epoch: 27 [7936/46200]	Loss: 0.3410	LR: 0.020000
Training Epoch: 27 [8192/46200]	Loss: 0.3482	LR: 0.020000
Training Epoch: 27 [8448/46200]	Loss: 0.2830	LR: 0.020000
Training Epoch: 27 [8704/46200]	Loss: 0.2690	LR: 0.020000
Training Epoch: 27 [8960/46200]	Loss: 0.3021	LR: 0.020000
Training Epoch: 27 [9216/46200]	Loss: 0.3837	LR: 0.020000
Training Epoch: 27 [9472/46200]	Loss: 0.3447	LR: 0.020000
Training Epoch: 27 [9728/46200]	Loss: 0.3273	LR: 0.020000
Training Epoch: 27 [9984/46200]	Loss: 0.3749	LR: 0.020000
Training Epoch: 27 [10240/46200]	Loss: 0.3572	LR: 0.020000
Training Epoch: 27 [10496/46200]	Loss: 0.4070	LR: 0.020000
Training Epoch: 27 [10752/46200]	Loss: 0.3332	LR: 0.020000
Training Epoch: 27 [11008/46200]	Loss: 0.3043	LR: 0.020000
Training Epoch: 27 [11264/46200]	Loss: 0.3121	LR: 0.020000
Training Epoch: 27 [11520/46200]	Loss: 0.2479	LR: 0.020000
Training Epoch: 27 [11776/46200]	Loss: 0.3812	LR: 0.020000
Training Epoch: 27 [12032/46200]	Loss: 0.3267	LR: 0.020000
Training Epoch: 27 [12288/46200]	Loss: 0.3897	LR: 0.020000
Training Epoch: 27 [12544/46200]	Loss: 0.2918	LR: 0.020000
Training Epoch: 27 [12800/46200]	Loss: 0.4893	LR: 0.020000
Training Epoch: 27 [13056/46200]	Loss: 0.3733	LR: 0.020000
Training Epoch: 27 [13312/46200]	Loss: 0.3491	LR: 0.020000
Training Epoch: 27 [13568/46200]	Loss: 0.3881	LR: 0.020000
Training Epoch: 27 [13824/46200]	Loss: 0.3615	LR: 0.020000
Training Epoch: 27 [14080/46200]	Loss: 0.4328	LR: 0.020000
Training Epoch: 27 [14336/46200]	Loss: 0.3401	LR: 0.020000
Training Epoch: 27 [14592/46200]	Loss: 0.3424	LR: 0.020000
Training Epoch: 27 [14848/46200]	Loss: 0.3505	LR: 0.020000
Training Epoch: 27 [15104/46200]	Loss: 0.4999	LR: 0.020000
Training Epoch: 27 [15360/46200]	Loss: 0.3456	LR: 0.020000
Training Epoch: 27 [15616/46200]	Loss: 0.3050	LR: 0.020000
Training Epoch: 27 [15872/46200]	Loss: 0.2871	LR: 0.020000
Training Epoch: 27 [16128/46200]	Loss: 0.3538	LR: 0.020000
Training Epoch: 27 [16384/46200]	Loss: 0.3961	LR: 0.020000
Training Epoch: 27 [16640/46200]	Loss: 0.4377	LR: 0.020000
Training Epoch: 27 [16896/46200]	Loss: 0.3527	LR: 0.020000
Training Epoch: 27 [17152/46200]	Loss: 0.3321	LR: 0.020000
Training Epoch: 27 [17408/46200]	Loss: 0.2937	LR: 0.020000
Training Epoch: 27 [17664/46200]	Loss: 0.3592	LR: 0.020000
Training Epoch: 27 [17920/46200]	Loss: 0.3668	LR: 0.020000
Training Epoch: 27 [18176/46200]	Loss: 0.3483	LR: 0.020000
Training Epoch: 27 [18432/46200]	Loss: 0.2683	LR: 0.020000
Training Epoch: 27 [18688/46200]	Loss: 0.3342	LR: 0.020000
Training Epoch: 27 [18944/46200]	Loss: 0.3658	LR: 0.020000
Training Epoch: 27 [19200/46200]	Loss: 0.4160	LR: 0.020000
Training Epoch: 27 [19456/46200]	Loss: 0.3320	LR: 0.020000
Training Epoch: 27 [19712/46200]	Loss: 0.3782	LR: 0.020000
Training Epoch: 27 [19968/46200]	Loss: 0.3706	LR: 0.020000
Training Epoch: 27 [20224/46200]	Loss: 0.3663	LR: 0.020000
Training Epoch: 27 [20480/46200]	Loss: 0.2890	LR: 0.020000
Training Epoch: 27 [20736/46200]	Loss: 0.3609	LR: 0.020000
Training Epoch: 27 [20992/46200]	Loss: 0.3747	LR: 0.020000
Training Epoch: 27 [21248/46200]	Loss: 0.3675	LR: 0.020000
Training Epoch: 27 [21504/46200]	Loss: 0.3555	LR: 0.020000
Training Epoch: 27 [21760/46200]	Loss: 0.3171	LR: 0.020000
Training Epoch: 27 [22016/46200]	Loss: 0.4188	LR: 0.020000
Training Epoch: 27 [22272/46200]	Loss: 0.3852	LR: 0.020000
Training Epoch: 27 [22528/46200]	Loss: 0.3878	LR: 0.020000
Training Epoch: 27 [22784/46200]	Loss: 0.3349	LR: 0.020000
Training Epoch: 27 [23040/46200]	Loss: 0.3888	LR: 0.020000
Training Epoch: 27 [23296/46200]	Loss: 0.2599	LR: 0.020000
Training Epoch: 27 [23552/46200]	Loss: 0.3629	LR: 0.020000
Training Epoch: 27 [23808/46200]	Loss: 0.3874	LR: 0.020000
Training Epoch: 27 [24064/46200]	Loss: 0.3778	LR: 0.020000
Training Epoch: 27 [24320/46200]	Loss: 0.3769	LR: 0.020000
Training Epoch: 27 [24576/46200]	Loss: 0.4691	LR: 0.020000
Training Epoch: 27 [24832/46200]	Loss: 0.4255	LR: 0.020000
Training Epoch: 27 [25088/46200]	Loss: 0.2975	LR: 0.020000
Training Epoch: 27 [25344/46200]	Loss: 0.3498	LR: 0.020000
Training Epoch: 27 [25600/46200]	Loss: 0.2910	LR: 0.020000
Training Epoch: 27 [25856/46200]	Loss: 0.4303	LR: 0.020000
Training Epoch: 27 [26112/46200]	Loss: 0.3802	LR: 0.020000
Training Epoch: 27 [26368/46200]	Loss: 0.3715	LR: 0.020000
Training Epoch: 27 [26624/46200]	Loss: 0.4148	LR: 0.020000
Training Epoch: 27 [26880/46200]	Loss: 0.4013	LR: 0.020000
Training Epoch: 27 [27136/46200]	Loss: 0.3752	LR: 0.020000
Training Epoch: 27 [27392/46200]	Loss: 0.2985	LR: 0.020000
Training Epoch: 27 [27648/46200]	Loss: 0.3235	LR: 0.020000
Training Epoch: 27 [27904/46200]	Loss: 0.3726	LR: 0.020000
Training Epoch: 27 [28160/46200]	Loss: 0.3878	LR: 0.020000
Training Epoch: 27 [28416/46200]	Loss: 0.3129	LR: 0.020000
Training Epoch: 27 [28672/46200]	Loss: 0.3252	LR: 0.020000
Training Epoch: 27 [28928/46200]	Loss: 0.3133	LR: 0.020000
Training Epoch: 27 [29184/46200]	Loss: 0.4275	LR: 0.020000
Training Epoch: 27 [29440/46200]	Loss: 0.3099	LR: 0.020000
Training Epoch: 27 [29696/46200]	Loss: 0.3788	LR: 0.020000
Training Epoch: 27 [29952/46200]	Loss: 0.3586	LR: 0.020000
Training Epoch: 27 [30208/46200]	Loss: 0.4403	LR: 0.020000
Training Epoch: 27 [30464/46200]	Loss: 0.4689	LR: 0.020000
Training Epoch: 27 [30720/46200]	Loss: 0.4890	LR: 0.020000
Training Epoch: 27 [30976/46200]	Loss: 0.3553	LR: 0.020000
Training Epoch: 27 [31232/46200]	Loss: 0.4243	LR: 0.020000
Training Epoch: 27 [31488/46200]	Loss: 0.3746	LR: 0.020000
Training Epoch: 27 [31744/46200]	Loss: 0.4148	LR: 0.020000
Training Epoch: 27 [32000/46200]	Loss: 0.3192	LR: 0.020000
Training Epoch: 27 [32256/46200]	Loss: 0.4144	LR: 0.020000
Training Epoch: 27 [32512/46200]	Loss: 0.3282	LR: 0.020000
Training Epoch: 27 [32768/46200]	Loss: 0.4160	LR: 0.020000
Training Epoch: 27 [33024/46200]	Loss: 0.3357	LR: 0.020000
Training Epoch: 27 [33280/46200]	Loss: 0.3188	LR: 0.020000
Training Epoch: 27 [33536/46200]	Loss: 0.3541	LR: 0.020000
Training Epoch: 27 [33792/46200]	Loss: 0.3814	LR: 0.020000
Training Epoch: 27 [34048/46200]	Loss: 0.3244	LR: 0.020000
Training Epoch: 27 [34304/46200]	Loss: 0.4687	LR: 0.020000
Training Epoch: 27 [34560/46200]	Loss: 0.3720	LR: 0.020000
Training Epoch: 27 [34816/46200]	Loss: 0.3736	LR: 0.020000
Training Epoch: 27 [35072/46200]	Loss: 0.3680	LR: 0.020000
Training Epoch: 27 [35328/46200]	Loss: 0.4567	LR: 0.020000
Training Epoch: 27 [35584/46200]	Loss: 0.3702	LR: 0.020000
Training Epoch: 27 [35840/46200]	Loss: 0.2795	LR: 0.020000
Training Epoch: 27 [36096/46200]	Loss: 0.4043	LR: 0.020000
Training Epoch: 27 [36352/46200]	Loss: 0.3882	LR: 0.020000
Training Epoch: 27 [36608/46200]	Loss: 0.3539	LR: 0.020000
Training Epoch: 27 [36864/46200]	Loss: 0.4049	LR: 0.020000
Training Epoch: 27 [37120/46200]	Loss: 0.4270	LR: 0.020000
Training Epoch: 27 [37376/46200]	Loss: 0.3421	LR: 0.020000
Training Epoch: 27 [37632/46200]	Loss: 0.3021	LR: 0.020000
Training Epoch: 27 [37888/46200]	Loss: 0.4210	LR: 0.020000
Training Epoch: 27 [38144/46200]	Loss: 0.3298	LR: 0.020000
Training Epoch: 27 [38400/46200]	Loss: 0.3362	LR: 0.020000
Training Epoch: 27 [38656/46200]	Loss: 0.3513	LR: 0.020000
Training Epoch: 27 [38912/46200]	Loss: 0.3646	LR: 0.020000
Training Epoch: 27 [39168/46200]	Loss: 0.3620	LR: 0.020000
Training Epoch: 27 [39424/46200]	Loss: 0.4434	LR: 0.020000
Training Epoch: 27 [39680/46200]	Loss: 0.4166	LR: 0.020000
Training Epoch: 27 [39936/46200]	Loss: 0.3071	LR: 0.020000
Training Epoch: 27 [40192/46200]	Loss: 0.3694	LR: 0.020000
Training Epoch: 27 [40448/46200]	Loss: 0.3973	LR: 0.020000
Training Epoch: 27 [40704/46200]	Loss: 0.3619	LR: 0.020000
Training Epoch: 27 [40960/46200]	Loss: 0.3465	LR: 0.020000
Training Epoch: 27 [41216/46200]	Loss: 0.3160	LR: 0.020000
Training Epoch: 27 [41472/46200]	Loss: 0.3919	LR: 0.020000
Training Epoch: 27 [41728/46200]	Loss: 0.4516	LR: 0.020000
Training Epoch: 27 [41984/46200]	Loss: 0.4167	LR: 0.020000
Training Epoch: 27 [42240/46200]	Loss: 0.4101	LR: 0.020000
Training Epoch: 27 [42496/46200]	Loss: 0.3018	LR: 0.020000
Training Epoch: 27 [42752/46200]	Loss: 0.4203	LR: 0.020000
Training Epoch: 27 [43008/46200]	Loss: 0.5069	LR: 0.020000
Training Epoch: 27 [43264/46200]	Loss: 0.3989	LR: 0.020000
Training Epoch: 27 [43520/46200]	Loss: 0.4005	LR: 0.020000
Training Epoch: 27 [43776/46200]	Loss: 0.3350	LR: 0.020000
Training Epoch: 27 [44032/46200]	Loss: 0.3950	LR: 0.020000
Training Epoch: 27 [44288/46200]	Loss: 0.4385	LR: 0.020000
Training Epoch: 27 [44544/46200]	Loss: 0.3846	LR: 0.020000
Training Epoch: 27 [44800/46200]	Loss: 0.4364	LR: 0.020000
Training Epoch: 27 [45056/46200]	Loss: 0.4096	LR: 0.020000
Training Epoch: 27 [45312/46200]	Loss: 0.3826	LR: 0.020000
Training Epoch: 27 [45568/46200]	Loss: 0.4054	LR: 0.020000
Training Epoch: 27 [45824/46200]	Loss: 0.4193	LR: 0.020000
Training Epoch: 27 [46080/46200]	Loss: 0.4520	LR: 0.020000
Training Epoch: 27 [46200/46200]	Loss: 0.3830	LR: 0.020000
Epoch 27 - Average Train Loss: 0.3653, Train Accuracy: 0.8781
Epoch 27 training time consumed: 27.78s
Evaluating Network.....
Test set: Epoch: 27, Average loss: 0.0033, Accuracy: 0.7643, Time consumed:0.99s
Training Epoch: 28 [256/46200]	Loss: 0.2439	LR: 0.020000
Training Epoch: 28 [512/46200]	Loss: 0.3062	LR: 0.020000
Training Epoch: 28 [768/46200]	Loss: 0.2865	LR: 0.020000
Training Epoch: 28 [1024/46200]	Loss: 0.2546	LR: 0.020000
Training Epoch: 28 [1280/46200]	Loss: 0.3587	LR: 0.020000
Training Epoch: 28 [1536/46200]	Loss: 0.2819	LR: 0.020000
Training Epoch: 28 [1792/46200]	Loss: 0.2920	LR: 0.020000
Training Epoch: 28 [2048/46200]	Loss: 0.3358	LR: 0.020000
Training Epoch: 28 [2304/46200]	Loss: 0.3914	LR: 0.020000
Training Epoch: 28 [2560/46200]	Loss: 0.3406	LR: 0.020000
Training Epoch: 28 [2816/46200]	Loss: 0.2915	LR: 0.020000
Training Epoch: 28 [3072/46200]	Loss: 0.2583	LR: 0.020000
Training Epoch: 28 [3328/46200]	Loss: 0.3733	LR: 0.020000
Training Epoch: 28 [3584/46200]	Loss: 0.2669	LR: 0.020000
Training Epoch: 28 [3840/46200]	Loss: 0.2855	LR: 0.020000
Training Epoch: 28 [4096/46200]	Loss: 0.3452	LR: 0.020000
Training Epoch: 28 [4352/46200]	Loss: 0.3029	LR: 0.020000
Training Epoch: 28 [4608/46200]	Loss: 0.3313	LR: 0.020000
Training Epoch: 28 [4864/46200]	Loss: 0.3211	LR: 0.020000
Training Epoch: 28 [5120/46200]	Loss: 0.2765	LR: 0.020000
Training Epoch: 28 [5376/46200]	Loss: 0.3823	LR: 0.020000
Training Epoch: 28 [5632/46200]	Loss: 0.2956	LR: 0.020000
Training Epoch: 28 [5888/46200]	Loss: 0.3203	LR: 0.020000
Training Epoch: 28 [6144/46200]	Loss: 0.3180	LR: 0.020000
Training Epoch: 28 [6400/46200]	Loss: 0.3099	LR: 0.020000
Training Epoch: 28 [6656/46200]	Loss: 0.2679	LR: 0.020000
Training Epoch: 28 [6912/46200]	Loss: 0.3780	LR: 0.020000
Training Epoch: 28 [7168/46200]	Loss: 0.2491	LR: 0.020000
Training Epoch: 28 [7424/46200]	Loss: 0.3596	LR: 0.020000
Training Epoch: 28 [7680/46200]	Loss: 0.3316	LR: 0.020000
Training Epoch: 28 [7936/46200]	Loss: 0.2474	LR: 0.020000
Training Epoch: 28 [8192/46200]	Loss: 0.4096	LR: 0.020000
Training Epoch: 28 [8448/46200]	Loss: 0.3591	LR: 0.020000
Training Epoch: 28 [8704/46200]	Loss: 0.3813	LR: 0.020000
Training Epoch: 28 [8960/46200]	Loss: 0.3106	LR: 0.020000
Training Epoch: 28 [9216/46200]	Loss: 0.2609	LR: 0.020000
Training Epoch: 28 [9472/46200]	Loss: 0.3541	LR: 0.020000
Training Epoch: 28 [9728/46200]	Loss: 0.3017	LR: 0.020000
Training Epoch: 28 [9984/46200]	Loss: 0.3524	LR: 0.020000
Training Epoch: 28 [10240/46200]	Loss: 0.3338	LR: 0.020000
Training Epoch: 28 [10496/46200]	Loss: 0.2853	LR: 0.020000
Training Epoch: 28 [10752/46200]	Loss: 0.4132	LR: 0.020000
Training Epoch: 28 [11008/46200]	Loss: 0.3739	LR: 0.020000
Training Epoch: 28 [11264/46200]	Loss: 0.3299	LR: 0.020000
Training Epoch: 28 [11520/46200]	Loss: 0.3092	LR: 0.020000
Training Epoch: 28 [11776/46200]	Loss: 0.2777	LR: 0.020000
Training Epoch: 28 [12032/46200]	Loss: 0.3641	LR: 0.020000
Training Epoch: 28 [12288/46200]	Loss: 0.4296	LR: 0.020000
Training Epoch: 28 [12544/46200]	Loss: 0.3013	LR: 0.020000
Training Epoch: 28 [12800/46200]	Loss: 0.2401	LR: 0.020000
Training Epoch: 28 [13056/46200]	Loss: 0.2768	LR: 0.020000
Training Epoch: 28 [13312/46200]	Loss: 0.2662	LR: 0.020000
Training Epoch: 28 [13568/46200]	Loss: 0.2227	LR: 0.020000
Training Epoch: 28 [13824/46200]	Loss: 0.3943	LR: 0.020000
Training Epoch: 28 [14080/46200]	Loss: 0.3007	LR: 0.020000
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Training Epoch: 28 [14848/46200]	Loss: 0.2991	LR: 0.020000
Training Epoch: 28 [15104/46200]	Loss: 0.3484	LR: 0.020000
Training Epoch: 28 [15360/46200]	Loss: 0.2899	LR: 0.020000
Training Epoch: 28 [15616/46200]	Loss: 0.3125	LR: 0.020000
Training Epoch: 28 [15872/46200]	Loss: 0.4027	LR: 0.020000
Training Epoch: 28 [16128/46200]	Loss: 0.3896	LR: 0.020000
Training Epoch: 28 [16384/46200]	Loss: 0.4330	LR: 0.020000
Training Epoch: 28 [16640/46200]	Loss: 0.2856	LR: 0.020000
Training Epoch: 28 [16896/46200]	Loss: 0.2680	LR: 0.020000
Training Epoch: 28 [17152/46200]	Loss: 0.3498	LR: 0.020000
Training Epoch: 28 [17408/46200]	Loss: 0.4315	LR: 0.020000
Training Epoch: 28 [17664/46200]	Loss: 0.4229	LR: 0.020000
Training Epoch: 28 [17920/46200]	Loss: 0.2672	LR: 0.020000
Training Epoch: 28 [18176/46200]	Loss: 0.3796	LR: 0.020000
Training Epoch: 28 [18432/46200]	Loss: 0.3420	LR: 0.020000
Training Epoch: 28 [18688/46200]	Loss: 0.3275	LR: 0.020000
Training Epoch: 28 [18944/46200]	Loss: 0.3983	LR: 0.020000
Training Epoch: 28 [19200/46200]	Loss: 0.3756	LR: 0.020000
Training Epoch: 28 [19456/46200]	Loss: 0.3791	LR: 0.020000
Training Epoch: 28 [19712/46200]	Loss: 0.4158	LR: 0.020000
Training Epoch: 28 [19968/46200]	Loss: 0.3708	LR: 0.020000
Training Epoch: 28 [20224/46200]	Loss: 0.3368	LR: 0.020000
Training Epoch: 28 [20480/46200]	Loss: 0.2880	LR: 0.020000
Training Epoch: 28 [20736/46200]	Loss: 0.2566	LR: 0.020000
Training Epoch: 28 [20992/46200]	Loss: 0.3728	LR: 0.020000
Training Epoch: 28 [21248/46200]	Loss: 0.2731	LR: 0.020000
Training Epoch: 28 [21504/46200]	Loss: 0.3388	LR: 0.020000
Training Epoch: 28 [21760/46200]	Loss: 0.4415	LR: 0.020000
Training Epoch: 28 [22016/46200]	Loss: 0.3002	LR: 0.020000
Training Epoch: 28 [22272/46200]	Loss: 0.3825	LR: 0.020000
Training Epoch: 28 [22528/46200]	Loss: 0.3837	LR: 0.020000
Training Epoch: 28 [22784/46200]	Loss: 0.2415	LR: 0.020000
Training Epoch: 28 [23040/46200]	Loss: 0.3624	LR: 0.020000
Training Epoch: 28 [23296/46200]	Loss: 0.3484	LR: 0.020000
Training Epoch: 28 [23552/46200]	Loss: 0.3246	LR: 0.020000
Training Epoch: 28 [23808/46200]	Loss: 0.3715	LR: 0.020000
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Training Epoch: 28 [26368/46200]	Loss: 0.3574	LR: 0.020000
Training Epoch: 28 [26624/46200]	Loss: 0.3473	LR: 0.020000
Training Epoch: 28 [26880/46200]	Loss: 0.3353	LR: 0.020000
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Training Epoch: 28 [27904/46200]	Loss: 0.3434	LR: 0.020000
Training Epoch: 28 [28160/46200]	Loss: 0.5016	LR: 0.020000
Training Epoch: 28 [28416/46200]	Loss: 0.3748	LR: 0.020000
Training Epoch: 28 [28672/46200]	Loss: 0.3000	LR: 0.020000
Training Epoch: 28 [28928/46200]	Loss: 0.3182	LR: 0.020000
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Training Epoch: 28 [29440/46200]	Loss: 0.3033	LR: 0.020000
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Training Epoch: 28 [30976/46200]	Loss: 0.2907	LR: 0.020000
Training Epoch: 28 [31232/46200]	Loss: 0.3251	LR: 0.020000
Training Epoch: 28 [31488/46200]	Loss: 0.4247	LR: 0.020000
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Training Epoch: 28 [32000/46200]	Loss: 0.2848	LR: 0.020000
Training Epoch: 28 [32256/46200]	Loss: 0.2928	LR: 0.020000
Training Epoch: 28 [32512/46200]	Loss: 0.3576	LR: 0.020000
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Training Epoch: 28 [33024/46200]	Loss: 0.3534	LR: 0.020000
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Training Epoch: 28 [33536/46200]	Loss: 0.3707	LR: 0.020000
Training Epoch: 28 [33792/46200]	Loss: 0.3842	LR: 0.020000
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Training Epoch: 28 [34304/46200]	Loss: 0.2782	LR: 0.020000
Training Epoch: 28 [34560/46200]	Loss: 0.3897	LR: 0.020000
Training Epoch: 28 [34816/46200]	Loss: 0.3974	LR: 0.020000
Training Epoch: 28 [35072/46200]	Loss: 0.3368	LR: 0.020000
Training Epoch: 28 [35328/46200]	Loss: 0.4332	LR: 0.020000
Training Epoch: 28 [35584/46200]	Loss: 0.3471	LR: 0.020000
Training Epoch: 28 [35840/46200]	Loss: 0.3081	LR: 0.020000
Training Epoch: 28 [36096/46200]	Loss: 0.3858	LR: 0.020000
Training Epoch: 28 [36352/46200]	Loss: 0.3251	LR: 0.020000
Training Epoch: 28 [36608/46200]	Loss: 0.4520	LR: 0.020000
Training Epoch: 28 [36864/46200]	Loss: 0.2716	LR: 0.020000
Training Epoch: 28 [37120/46200]	Loss: 0.4466	LR: 0.020000
Training Epoch: 28 [37376/46200]	Loss: 0.2732	LR: 0.020000
Training Epoch: 28 [37632/46200]	Loss: 0.3524	LR: 0.020000
Training Epoch: 28 [37888/46200]	Loss: 0.3629	LR: 0.020000
Training Epoch: 28 [38144/46200]	Loss: 0.3574	LR: 0.020000
Training Epoch: 28 [38400/46200]	Loss: 0.3530	LR: 0.020000
Training Epoch: 28 [38656/46200]	Loss: 0.4768	LR: 0.020000
Training Epoch: 28 [38912/46200]	Loss: 0.3405	LR: 0.020000
Training Epoch: 28 [39168/46200]	Loss: 0.3994	LR: 0.020000
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Training Epoch: 28 [39936/46200]	Loss: 0.4853	LR: 0.020000
Training Epoch: 28 [40192/46200]	Loss: 0.3849	LR: 0.020000
Training Epoch: 28 [40448/46200]	Loss: 0.3819	LR: 0.020000
Training Epoch: 28 [40704/46200]	Loss: 0.4386	LR: 0.020000
Training Epoch: 28 [40960/46200]	Loss: 0.4545	LR: 0.020000
Training Epoch: 28 [41216/46200]	Loss: 0.4148	LR: 0.020000
Training Epoch: 28 [41472/46200]	Loss: 0.3443	LR: 0.020000
Training Epoch: 28 [41728/46200]	Loss: 0.3316	LR: 0.020000
Training Epoch: 28 [41984/46200]	Loss: 0.4653	LR: 0.020000
Training Epoch: 28 [42240/46200]	Loss: 0.3664	LR: 0.020000
Training Epoch: 28 [42496/46200]	Loss: 0.3262	LR: 0.020000
Training Epoch: 28 [42752/46200]	Loss: 0.3951	LR: 0.020000
Training Epoch: 28 [43008/46200]	Loss: 0.3487	LR: 0.020000
Training Epoch: 28 [43264/46200]	Loss: 0.3540	LR: 0.020000
Training Epoch: 28 [43520/46200]	Loss: 0.2969	LR: 0.020000
Training Epoch: 28 [43776/46200]	Loss: 0.3743	LR: 0.020000
Training Epoch: 28 [44032/46200]	Loss: 0.4507	LR: 0.020000
Training Epoch: 28 [44288/46200]	Loss: 0.3113	LR: 0.020000
Training Epoch: 28 [44544/46200]	Loss: 0.3637	LR: 0.020000
Training Epoch: 28 [44800/46200]	Loss: 0.4199	LR: 0.020000
Training Epoch: 28 [45056/46200]	Loss: 0.3351	LR: 0.020000
Training Epoch: 28 [45312/46200]	Loss: 0.3407	LR: 0.020000
Training Epoch: 28 [45568/46200]	Loss: 0.3736	LR: 0.020000
Training Epoch: 28 [45824/46200]	Loss: 0.4417	LR: 0.020000
Training Epoch: 28 [46080/46200]	Loss: 0.3639	LR: 0.020000
Training Epoch: 28 [46200/46200]	Loss: 0.4235	LR: 0.020000
Epoch 28 - Average Train Loss: 0.3468, Train Accuracy: 0.8834
Epoch 28 training time consumed: 27.76s
Evaluating Network.....
Test set: Epoch: 28, Average loss: 0.0033, Accuracy: 0.7613, Time consumed:0.91s
Training Epoch: 29 [256/46200]	Loss: 0.2923	LR: 0.020000
Training Epoch: 29 [512/46200]	Loss: 0.2708	LR: 0.020000
Training Epoch: 29 [768/46200]	Loss: 0.3593	LR: 0.020000
Training Epoch: 29 [1024/46200]	Loss: 0.2968	LR: 0.020000
Training Epoch: 29 [1280/46200]	Loss: 0.4304	LR: 0.020000
Training Epoch: 29 [1536/46200]	Loss: 0.2678	LR: 0.020000
Training Epoch: 29 [1792/46200]	Loss: 0.3412	LR: 0.020000
Training Epoch: 29 [2048/46200]	Loss: 0.3484	LR: 0.020000
Training Epoch: 29 [2304/46200]	Loss: 0.2966	LR: 0.020000
Training Epoch: 29 [2560/46200]	Loss: 0.3085	LR: 0.020000
Training Epoch: 29 [2816/46200]	Loss: 0.3157	LR: 0.020000
Training Epoch: 29 [3072/46200]	Loss: 0.2940	LR: 0.020000
Training Epoch: 29 [3328/46200]	Loss: 0.3035	LR: 0.020000
Training Epoch: 29 [3584/46200]	Loss: 0.3597	LR: 0.020000
Training Epoch: 29 [3840/46200]	Loss: 0.3126	LR: 0.020000
Training Epoch: 29 [4096/46200]	Loss: 0.2866	LR: 0.020000
Training Epoch: 29 [4352/46200]	Loss: 0.3712	LR: 0.020000
Training Epoch: 29 [4608/46200]	Loss: 0.3567	LR: 0.020000
Training Epoch: 29 [4864/46200]	Loss: 0.3030	LR: 0.020000
Training Epoch: 29 [5120/46200]	Loss: 0.4118	LR: 0.020000
Training Epoch: 29 [5376/46200]	Loss: 0.2820	LR: 0.020000
Training Epoch: 29 [5632/46200]	Loss: 0.2947	LR: 0.020000
Training Epoch: 29 [5888/46200]	Loss: 0.3408	LR: 0.020000
Training Epoch: 29 [6144/46200]	Loss: 0.3685	LR: 0.020000
Training Epoch: 29 [6400/46200]	Loss: 0.2287	LR: 0.020000
Training Epoch: 29 [6656/46200]	Loss: 0.3482	LR: 0.020000
Training Epoch: 29 [6912/46200]	Loss: 0.3142	LR: 0.020000
Training Epoch: 29 [7168/46200]	Loss: 0.2896	LR: 0.020000
Training Epoch: 29 [7424/46200]	Loss: 0.3931	LR: 0.020000
Training Epoch: 29 [7680/46200]	Loss: 0.3237	LR: 0.020000
Training Epoch: 29 [7936/46200]	Loss: 0.3235	LR: 0.020000
Training Epoch: 29 [8192/46200]	Loss: 0.2610	LR: 0.020000
Training Epoch: 29 [8448/46200]	Loss: 0.3724	LR: 0.020000
Training Epoch: 29 [8704/46200]	Loss: 0.2899	LR: 0.020000
Training Epoch: 29 [8960/46200]	Loss: 0.3376	LR: 0.020000
Training Epoch: 29 [9216/46200]	Loss: 0.3427	LR: 0.020000
Training Epoch: 29 [9472/46200]	Loss: 0.3395	LR: 0.020000
Training Epoch: 29 [9728/46200]	Loss: 0.3421	LR: 0.020000
Training Epoch: 29 [9984/46200]	Loss: 0.3572	LR: 0.020000
Training Epoch: 29 [10240/46200]	Loss: 0.3395	LR: 0.020000
Training Epoch: 29 [10496/46200]	Loss: 0.3817	LR: 0.020000
Training Epoch: 29 [10752/46200]	Loss: 0.3456	LR: 0.020000
Training Epoch: 29 [11008/46200]	Loss: 0.3354	LR: 0.020000
Training Epoch: 29 [11264/46200]	Loss: 0.4191	LR: 0.020000
Training Epoch: 29 [11520/46200]	Loss: 0.2849	LR: 0.020000
Training Epoch: 29 [11776/46200]	Loss: 0.3109	LR: 0.020000
Training Epoch: 29 [12032/46200]	Loss: 0.3516	LR: 0.020000
Training Epoch: 29 [12288/46200]	Loss: 0.3200	LR: 0.020000
Training Epoch: 29 [12544/46200]	Loss: 0.3021	LR: 0.020000
Training Epoch: 29 [12800/46200]	Loss: 0.3231	LR: 0.020000
Training Epoch: 29 [13056/46200]	Loss: 0.3826	LR: 0.020000
Training Epoch: 29 [13312/46200]	Loss: 0.2786	LR: 0.020000
Training Epoch: 29 [13568/46200]	Loss: 0.3618	LR: 0.020000
Training Epoch: 29 [13824/46200]	Loss: 0.2968	LR: 0.020000
Training Epoch: 29 [14080/46200]	Loss: 0.3116	LR: 0.020000
Training Epoch: 29 [14336/46200]	Loss: 0.3152	LR: 0.020000
Training Epoch: 29 [14592/46200]	Loss: 0.3071	LR: 0.020000
Training Epoch: 29 [14848/46200]	Loss: 0.4236	LR: 0.020000
Training Epoch: 29 [15104/46200]	Loss: 0.2820	LR: 0.020000
Training Epoch: 29 [15360/46200]	Loss: 0.3370	LR: 0.020000
Training Epoch: 29 [15616/46200]	Loss: 0.3251	LR: 0.020000
Training Epoch: 29 [15872/46200]	Loss: 0.2505	LR: 0.020000
Training Epoch: 29 [16128/46200]	Loss: 0.4300	LR: 0.020000
Training Epoch: 29 [16384/46200]	Loss: 0.3093	LR: 0.020000
Training Epoch: 29 [16640/46200]	Loss: 0.3003	LR: 0.020000
Training Epoch: 29 [16896/46200]	Loss: 0.3854	LR: 0.020000
Training Epoch: 29 [17152/46200]	Loss: 0.2321	LR: 0.020000
Training Epoch: 29 [17408/46200]	Loss: 0.3655	LR: 0.020000
Training Epoch: 29 [17664/46200]	Loss: 0.3232	LR: 0.020000
Training Epoch: 29 [17920/46200]	Loss: 0.4747	LR: 0.020000
Training Epoch: 29 [18176/46200]	Loss: 0.3817	LR: 0.020000
Training Epoch: 29 [18432/46200]	Loss: 0.3007	LR: 0.020000
Training Epoch: 29 [18688/46200]	Loss: 0.3625	LR: 0.020000
Training Epoch: 29 [18944/46200]	Loss: 0.3131	LR: 0.020000
Training Epoch: 29 [19200/46200]	Loss: 0.2706	LR: 0.020000
Training Epoch: 29 [19456/46200]	Loss: 0.2965	LR: 0.020000
Training Epoch: 29 [19712/46200]	Loss: 0.3152	LR: 0.020000
Training Epoch: 29 [19968/46200]	Loss: 0.2811	LR: 0.020000
Training Epoch: 29 [20224/46200]	Loss: 0.2829	LR: 0.020000
Training Epoch: 29 [20480/46200]	Loss: 0.3264	LR: 0.020000
Training Epoch: 29 [20736/46200]	Loss: 0.3655	LR: 0.020000
Training Epoch: 29 [20992/46200]	Loss: 0.3195	LR: 0.020000
Training Epoch: 29 [21248/46200]	Loss: 0.3639	LR: 0.020000
Training Epoch: 29 [21504/46200]	Loss: 0.2135	LR: 0.020000
Training Epoch: 29 [21760/46200]	Loss: 0.3367	LR: 0.020000
Training Epoch: 29 [22016/46200]	Loss: 0.3649	LR: 0.020000
Training Epoch: 29 [22272/46200]	Loss: 0.2508	LR: 0.020000
Training Epoch: 29 [22528/46200]	Loss: 0.2207	LR: 0.020000
Training Epoch: 29 [22784/46200]	Loss: 0.3529	LR: 0.020000
Training Epoch: 29 [23040/46200]	Loss: 0.3955	LR: 0.020000
Training Epoch: 29 [23296/46200]	Loss: 0.3203	LR: 0.020000
Training Epoch: 29 [23552/46200]	Loss: 0.3119	LR: 0.020000
Training Epoch: 29 [23808/46200]	Loss: 0.4091	LR: 0.020000
Training Epoch: 29 [24064/46200]	Loss: 0.3403	LR: 0.020000
Training Epoch: 29 [24320/46200]	Loss: 0.4144	LR: 0.020000
Training Epoch: 29 [24576/46200]	Loss: 0.2854	LR: 0.020000
Training Epoch: 29 [24832/46200]	Loss: 0.2934	LR: 0.020000
Training Epoch: 29 [25088/46200]	Loss: 0.3094	LR: 0.020000
Training Epoch: 29 [25344/46200]	Loss: 0.2919	LR: 0.020000
Training Epoch: 29 [25600/46200]	Loss: 0.3484	LR: 0.020000
Training Epoch: 29 [25856/46200]	Loss: 0.3966	LR: 0.020000
Training Epoch: 29 [26112/46200]	Loss: 0.3082	LR: 0.020000
Training Epoch: 29 [26368/46200]	Loss: 0.3780	LR: 0.020000
Training Epoch: 29 [26624/46200]	Loss: 0.2706	LR: 0.020000
Training Epoch: 29 [26880/46200]	Loss: 0.3140	LR: 0.020000
Training Epoch: 29 [27136/46200]	Loss: 0.3578	LR: 0.020000
Training Epoch: 29 [27392/46200]	Loss: 0.3474	LR: 0.020000
Training Epoch: 29 [27648/46200]	Loss: 0.3321	LR: 0.020000
Training Epoch: 29 [27904/46200]	Loss: 0.3657	LR: 0.020000
Training Epoch: 29 [28160/46200]	Loss: 0.4031	LR: 0.020000
Training Epoch: 29 [28416/46200]	Loss: 0.3297	LR: 0.020000
Training Epoch: 29 [28672/46200]	Loss: 0.3871	LR: 0.020000
Training Epoch: 29 [28928/46200]	Loss: 0.3476	LR: 0.020000
Training Epoch: 29 [29184/46200]	Loss: 0.3372	LR: 0.020000
Training Epoch: 29 [29440/46200]	Loss: 0.3233	LR: 0.020000
Training Epoch: 29 [29696/46200]	Loss: 0.3127	LR: 0.020000
Training Epoch: 29 [29952/46200]	Loss: 0.3285	LR: 0.020000
Training Epoch: 29 [30208/46200]	Loss: 0.3161	LR: 0.020000
Training Epoch: 29 [30464/46200]	Loss: 0.4035	LR: 0.020000
Training Epoch: 29 [30720/46200]	Loss: 0.3076	LR: 0.020000
Training Epoch: 29 [30976/46200]	Loss: 0.4158	LR: 0.020000
Training Epoch: 29 [31232/46200]	Loss: 0.2939	LR: 0.020000
Training Epoch: 29 [31488/46200]	Loss: 0.3061	LR: 0.020000
Training Epoch: 29 [31744/46200]	Loss: 0.3358	LR: 0.020000
Training Epoch: 29 [32000/46200]	Loss: 0.4290	LR: 0.020000
Training Epoch: 29 [32256/46200]	Loss: 0.3586	LR: 0.020000
Training Epoch: 29 [32512/46200]	Loss: 0.4216	LR: 0.020000
Training Epoch: 29 [32768/46200]	Loss: 0.3551	LR: 0.020000
Training Epoch: 29 [33024/46200]	Loss: 0.2655	LR: 0.020000
Training Epoch: 29 [33280/46200]	Loss: 0.3178	LR: 0.020000
Training Epoch: 29 [33536/46200]	Loss: 0.3238	LR: 0.020000
Training Epoch: 29 [33792/46200]	Loss: 0.3273	LR: 0.020000
Training Epoch: 29 [34048/46200]	Loss: 0.3513	LR: 0.020000
Training Epoch: 29 [34304/46200]	Loss: 0.3323	LR: 0.020000
Training Epoch: 29 [34560/46200]	Loss: 0.4881	LR: 0.020000
Training Epoch: 29 [34816/46200]	Loss: 0.3797	LR: 0.020000
Training Epoch: 29 [35072/46200]	Loss: 0.3276	LR: 0.020000
Training Epoch: 29 [35328/46200]	Loss: 0.3612	LR: 0.020000
Training Epoch: 29 [35584/46200]	Loss: 0.3548	LR: 0.020000
Training Epoch: 29 [35840/46200]	Loss: 0.3548	LR: 0.020000
Training Epoch: 29 [36096/46200]	Loss: 0.2917	LR: 0.020000
Training Epoch: 29 [36352/46200]	Loss: 0.3078	LR: 0.020000
Training Epoch: 29 [36608/46200]	Loss: 0.3436	LR: 0.020000
Training Epoch: 29 [36864/46200]	Loss: 0.3420	LR: 0.020000
Training Epoch: 29 [37120/46200]	Loss: 0.3928	LR: 0.020000
Training Epoch: 29 [37376/46200]	Loss: 0.3257	LR: 0.020000
Training Epoch: 29 [37632/46200]	Loss: 0.2569	LR: 0.020000
Training Epoch: 29 [37888/46200]	Loss: 0.3515	LR: 0.020000
Training Epoch: 29 [38144/46200]	Loss: 0.3673	LR: 0.020000
Training Epoch: 29 [38400/46200]	Loss: 0.2821	LR: 0.020000
Training Epoch: 29 [38656/46200]	Loss: 0.3292	LR: 0.020000
Training Epoch: 29 [38912/46200]	Loss: 0.3389	LR: 0.020000
Training Epoch: 29 [39168/46200]	Loss: 0.3448	LR: 0.020000
Training Epoch: 29 [39424/46200]	Loss: 0.4302	LR: 0.020000
Training Epoch: 29 [39680/46200]	Loss: 0.3007	LR: 0.020000
Training Epoch: 29 [39936/46200]	Loss: 0.3669	LR: 0.020000
Training Epoch: 29 [40192/46200]	Loss: 0.3923	LR: 0.020000
Training Epoch: 29 [40448/46200]	Loss: 0.3379	LR: 0.020000
Training Epoch: 29 [40704/46200]	Loss: 0.3220	LR: 0.020000
Training Epoch: 29 [40960/46200]	Loss: 0.3993	LR: 0.020000
Training Epoch: 29 [41216/46200]	Loss: 0.3275	LR: 0.020000
Training Epoch: 29 [41472/46200]	Loss: 0.3336	LR: 0.020000
Training Epoch: 29 [41728/46200]	Loss: 0.4191	LR: 0.020000
Training Epoch: 29 [41984/46200]	Loss: 0.2708	LR: 0.020000
Training Epoch: 29 [42240/46200]	Loss: 0.2728	LR: 0.020000
Training Epoch: 29 [42496/46200]	Loss: 0.3292	LR: 0.020000
Training Epoch: 29 [42752/46200]	Loss: 0.2903	LR: 0.020000
Training Epoch: 29 [43008/46200]	Loss: 0.3194	LR: 0.020000
Training Epoch: 29 [43264/46200]	Loss: 0.3663	LR: 0.020000
Training Epoch: 29 [43520/46200]	Loss: 0.3693	LR: 0.020000
Training Epoch: 29 [43776/46200]	Loss: 0.3960	LR: 0.020000
Training Epoch: 29 [44032/46200]	Loss: 0.2472	LR: 0.020000
Training Epoch: 29 [44288/46200]	Loss: 0.3860	LR: 0.020000
Training Epoch: 29 [44544/46200]	Loss: 0.4032	LR: 0.020000
Training Epoch: 29 [44800/46200]	Loss: 0.3105	LR: 0.020000
Training Epoch: 29 [45056/46200]	Loss: 0.3550	LR: 0.020000
Training Epoch: 29 [45312/46200]	Loss: 0.3611	LR: 0.020000
Training Epoch: 29 [45568/46200]	Loss: 0.2997	LR: 0.020000
Training Epoch: 29 [45824/46200]	Loss: 0.2672	LR: 0.020000
Training Epoch: 29 [46080/46200]	Loss: 0.3174	LR: 0.020000
Training Epoch: 29 [46200/46200]	Loss: 0.3728	LR: 0.020000
Epoch 29 - Average Train Loss: 0.3343, Train Accuracy: 0.8885
Epoch 29 training time consumed: 27.70s
Evaluating Network.....
Test set: Epoch: 29, Average loss: 0.0033, Accuracy: 0.7681, Time consumed:0.87s
Training Epoch: 30 [256/46200]	Loss: 0.4407	LR: 0.004000
Training Epoch: 30 [512/46200]	Loss: 0.2835	LR: 0.004000
Training Epoch: 30 [768/46200]	Loss: 0.3968	LR: 0.004000
Training Epoch: 30 [1024/46200]	Loss: 0.3813	LR: 0.004000
Training Epoch: 30 [1280/46200]	Loss: 0.3084	LR: 0.004000
Training Epoch: 30 [1536/46200]	Loss: 0.2640	LR: 0.004000
Training Epoch: 30 [1792/46200]	Loss: 0.2967	LR: 0.004000
Training Epoch: 30 [2048/46200]	Loss: 0.2183	LR: 0.004000
Training Epoch: 30 [2304/46200]	Loss: 0.3093	LR: 0.004000
Training Epoch: 30 [2560/46200]	Loss: 0.3452	LR: 0.004000
Training Epoch: 30 [2816/46200]	Loss: 0.2316	LR: 0.004000
Training Epoch: 30 [3072/46200]	Loss: 0.2879	LR: 0.004000
Training Epoch: 30 [3328/46200]	Loss: 0.2560	LR: 0.004000
Training Epoch: 30 [3584/46200]	Loss: 0.2329	LR: 0.004000
Training Epoch: 30 [3840/46200]	Loss: 0.2258	LR: 0.004000
Training Epoch: 30 [4096/46200]	Loss: 0.2582	LR: 0.004000
Training Epoch: 30 [4352/46200]	Loss: 0.2645	LR: 0.004000
Training Epoch: 30 [4608/46200]	Loss: 0.2397	LR: 0.004000
Training Epoch: 30 [4864/46200]	Loss: 0.1968	LR: 0.004000
Training Epoch: 30 [5120/46200]	Loss: 0.2935	LR: 0.004000
Training Epoch: 30 [5376/46200]	Loss: 0.2547	LR: 0.004000
Training Epoch: 30 [5632/46200]	Loss: 0.2184	LR: 0.004000
Training Epoch: 30 [5888/46200]	Loss: 0.2961	LR: 0.004000
Training Epoch: 30 [6144/46200]	Loss: 0.2621	LR: 0.004000
Training Epoch: 30 [6400/46200]	Loss: 0.2279	LR: 0.004000
Training Epoch: 30 [6656/46200]	Loss: 0.3139	LR: 0.004000
Training Epoch: 30 [6912/46200]	Loss: 0.2636	LR: 0.004000
Training Epoch: 30 [7168/46200]	Loss: 0.2040	LR: 0.004000
Training Epoch: 30 [7424/46200]	Loss: 0.2166	LR: 0.004000
Training Epoch: 30 [7680/46200]	Loss: 0.2327	LR: 0.004000
Training Epoch: 30 [7936/46200]	Loss: 0.2351	LR: 0.004000
Training Epoch: 30 [8192/46200]	Loss: 0.2234	LR: 0.004000
Training Epoch: 30 [8448/46200]	Loss: 0.1933	LR: 0.004000
Training Epoch: 30 [8704/46200]	Loss: 0.1854	LR: 0.004000
Training Epoch: 30 [8960/46200]	Loss: 0.1955	LR: 0.004000
Training Epoch: 30 [9216/46200]	Loss: 0.2421	LR: 0.004000
Training Epoch: 30 [9472/46200]	Loss: 0.2109	LR: 0.004000
Training Epoch: 30 [9728/46200]	Loss: 0.1785	LR: 0.004000
Training Epoch: 30 [9984/46200]	Loss: 0.1640	LR: 0.004000
Training Epoch: 30 [10240/46200]	Loss: 0.2093	LR: 0.004000
Training Epoch: 30 [10496/46200]	Loss: 0.1534	LR: 0.004000
Training Epoch: 30 [10752/46200]	Loss: 0.2323	LR: 0.004000
Training Epoch: 30 [11008/46200]	Loss: 0.2304	LR: 0.004000
Training Epoch: 30 [11264/46200]	Loss: 0.2198	LR: 0.004000
Training Epoch: 30 [11520/46200]	Loss: 0.2357	LR: 0.004000
Training Epoch: 30 [11776/46200]	Loss: 0.1598	LR: 0.004000
Training Epoch: 30 [12032/46200]	Loss: 0.3190	LR: 0.004000
Training Epoch: 30 [12288/46200]	Loss: 0.2400	LR: 0.004000
Training Epoch: 30 [12544/46200]	Loss: 0.2735	LR: 0.004000
Training Epoch: 30 [12800/46200]	Loss: 0.2194	LR: 0.004000
Training Epoch: 30 [13056/46200]	Loss: 0.2298	LR: 0.004000
Training Epoch: 30 [13312/46200]	Loss: 0.2393	LR: 0.004000
Training Epoch: 30 [13568/46200]	Loss: 0.2579	LR: 0.004000
Training Epoch: 30 [13824/46200]	Loss: 0.2228	LR: 0.004000
Training Epoch: 30 [14080/46200]	Loss: 0.2051	LR: 0.004000
Training Epoch: 30 [14336/46200]	Loss: 0.2154	LR: 0.004000
Training Epoch: 30 [14592/46200]	Loss: 0.2432	LR: 0.004000
Training Epoch: 30 [14848/46200]	Loss: 0.2209	LR: 0.004000
Training Epoch: 30 [15104/46200]	Loss: 0.2413	LR: 0.004000
Training Epoch: 30 [15360/46200]	Loss: 0.2765	LR: 0.004000
Training Epoch: 30 [15616/46200]	Loss: 0.2631	LR: 0.004000
Training Epoch: 30 [15872/46200]	Loss: 0.1742	LR: 0.004000
Training Epoch: 30 [16128/46200]	Loss: 0.2201	LR: 0.004000
Training Epoch: 30 [16384/46200]	Loss: 0.2407	LR: 0.004000
Training Epoch: 30 [16640/46200]	Loss: 0.2094	LR: 0.004000
Training Epoch: 30 [16896/46200]	Loss: 0.2541	LR: 0.004000
Training Epoch: 30 [17152/46200]	Loss: 0.1918	LR: 0.004000
Training Epoch: 30 [17408/46200]	Loss: 0.2231	LR: 0.004000
Training Epoch: 30 [17664/46200]	Loss: 0.1696	LR: 0.004000
Training Epoch: 30 [17920/46200]	Loss: 0.2336	LR: 0.004000
Training Epoch: 30 [18176/46200]	Loss: 0.1710	LR: 0.004000
Training Epoch: 30 [18432/46200]	Loss: 0.2137	LR: 0.004000
Training Epoch: 30 [18688/46200]	Loss: 0.1950	LR: 0.004000
Training Epoch: 30 [18944/46200]	Loss: 0.2390	LR: 0.004000
Training Epoch: 30 [19200/46200]	Loss: 0.1559	LR: 0.004000
Training Epoch: 30 [19456/46200]	Loss: 0.2288	LR: 0.004000
Training Epoch: 30 [19712/46200]	Loss: 0.2051	LR: 0.004000
Training Epoch: 30 [19968/46200]	Loss: 0.2572	LR: 0.004000
Training Epoch: 30 [20224/46200]	Loss: 0.2878	LR: 0.004000
Training Epoch: 30 [20480/46200]	Loss: 0.2712	LR: 0.004000
Training Epoch: 30 [20736/46200]	Loss: 0.2334	LR: 0.004000
Training Epoch: 30 [20992/46200]	Loss: 0.1570	LR: 0.004000
Training Epoch: 30 [21248/46200]	Loss: 0.2016	LR: 0.004000
Training Epoch: 30 [21504/46200]	Loss: 0.2134	LR: 0.004000
Training Epoch: 30 [21760/46200]	Loss: 0.2194	LR: 0.004000
Training Epoch: 30 [22016/46200]	Loss: 0.2154	LR: 0.004000
Training Epoch: 30 [22272/46200]	Loss: 0.1812	LR: 0.004000
Training Epoch: 30 [22528/46200]	Loss: 0.1692	LR: 0.004000
Training Epoch: 30 [22784/46200]	Loss: 0.1918	LR: 0.004000
Training Epoch: 30 [23040/46200]	Loss: 0.1595	LR: 0.004000
Training Epoch: 30 [23296/46200]	Loss: 0.2138	LR: 0.004000
Training Epoch: 30 [23552/46200]	Loss: 0.2413	LR: 0.004000
Training Epoch: 30 [23808/46200]	Loss: 0.2137	LR: 0.004000
Training Epoch: 30 [24064/46200]	Loss: 0.2251	LR: 0.004000
Training Epoch: 30 [24320/46200]	Loss: 0.2251	LR: 0.004000
Training Epoch: 30 [24576/46200]	Loss: 0.1745	LR: 0.004000
Training Epoch: 30 [24832/46200]	Loss: 0.1845	LR: 0.004000
Training Epoch: 30 [25088/46200]	Loss: 0.2884	LR: 0.004000
Training Epoch: 30 [25344/46200]	Loss: 0.2114	LR: 0.004000
Training Epoch: 30 [25600/46200]	Loss: 0.1997	LR: 0.004000
Training Epoch: 30 [25856/46200]	Loss: 0.2786	LR: 0.004000
Training Epoch: 30 [26112/46200]	Loss: 0.1925	LR: 0.004000
Training Epoch: 30 [26368/46200]	Loss: 0.1371	LR: 0.004000
Training Epoch: 30 [26624/46200]	Loss: 0.2638	LR: 0.004000
Training Epoch: 30 [26880/46200]	Loss: 0.2015	LR: 0.004000
Training Epoch: 30 [27136/46200]	Loss: 0.2236	LR: 0.004000
Training Epoch: 30 [27392/46200]	Loss: 0.2109	LR: 0.004000
Training Epoch: 30 [27648/46200]	Loss: 0.1745	LR: 0.004000
Training Epoch: 30 [27904/46200]	Loss: 0.2742	LR: 0.004000
Training Epoch: 30 [28160/46200]	Loss: 0.1577	LR: 0.004000
Training Epoch: 30 [28416/46200]	Loss: 0.2098	LR: 0.004000
Training Epoch: 30 [28672/46200]	Loss: 0.2370	LR: 0.004000
Training Epoch: 30 [28928/46200]	Loss: 0.2006	LR: 0.004000
Training Epoch: 30 [29184/46200]	Loss: 0.1992	LR: 0.004000
Training Epoch: 30 [29440/46200]	Loss: 0.2677	LR: 0.004000
Training Epoch: 30 [29696/46200]	Loss: 0.1858	LR: 0.004000
Training Epoch: 30 [29952/46200]	Loss: 0.1652	LR: 0.004000
Training Epoch: 30 [30208/46200]	Loss: 0.2092	LR: 0.004000
Training Epoch: 30 [30464/46200]	Loss: 0.2308	LR: 0.004000
Training Epoch: 30 [30720/46200]	Loss: 0.1981	LR: 0.004000
Training Epoch: 30 [30976/46200]	Loss: 0.1510	LR: 0.004000
Training Epoch: 30 [31232/46200]	Loss: 0.2025	LR: 0.004000
Training Epoch: 30 [31488/46200]	Loss: 0.1895	LR: 0.004000
Training Epoch: 30 [31744/46200]	Loss: 0.2079	LR: 0.004000
Training Epoch: 30 [32000/46200]	Loss: 0.2109	LR: 0.004000
Training Epoch: 30 [32256/46200]	Loss: 0.1781	LR: 0.004000
Training Epoch: 30 [32512/46200]	Loss: 0.1619	LR: 0.004000
Training Epoch: 30 [32768/46200]	Loss: 0.2078	LR: 0.004000
Training Epoch: 30 [33024/46200]	Loss: 0.2784	LR: 0.004000
Training Epoch: 30 [33280/46200]	Loss: 0.2319	LR: 0.004000
Training Epoch: 30 [33536/46200]	Loss: 0.2197	LR: 0.004000
Training Epoch: 30 [33792/46200]	Loss: 0.2635	LR: 0.004000
Training Epoch: 30 [34048/46200]	Loss: 0.2081	LR: 0.004000
Training Epoch: 30 [34304/46200]	Loss: 0.2041	LR: 0.004000
Training Epoch: 30 [34560/46200]	Loss: 0.1798	LR: 0.004000
Training Epoch: 30 [34816/46200]	Loss: 0.1915	LR: 0.004000
Training Epoch: 30 [35072/46200]	Loss: 0.1907	LR: 0.004000
Training Epoch: 30 [35328/46200]	Loss: 0.1877	LR: 0.004000
Training Epoch: 30 [35584/46200]	Loss: 0.2062	LR: 0.004000
Training Epoch: 30 [35840/46200]	Loss: 0.1434	LR: 0.004000
Training Epoch: 30 [36096/46200]	Loss: 0.2099	LR: 0.004000
Training Epoch: 30 [36352/46200]	Loss: 0.2405	LR: 0.004000
Training Epoch: 30 [36608/46200]	Loss: 0.1975	LR: 0.004000
Training Epoch: 30 [36864/46200]	Loss: 0.1997	LR: 0.004000
Training Epoch: 30 [37120/46200]	Loss: 0.2562	LR: 0.004000
Training Epoch: 30 [37376/46200]	Loss: 0.2070	LR: 0.004000
Training Epoch: 30 [37632/46200]	Loss: 0.1557	LR: 0.004000
Training Epoch: 30 [37888/46200]	Loss: 0.2520	LR: 0.004000
Training Epoch: 30 [38144/46200]	Loss: 0.2182	LR: 0.004000
Training Epoch: 30 [38400/46200]	Loss: 0.2562	LR: 0.004000
Training Epoch: 30 [38656/46200]	Loss: 0.2338	LR: 0.004000
Training Epoch: 30 [38912/46200]	Loss: 0.1970	LR: 0.004000
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Training Epoch: 30 [43008/46200]	Loss: 0.1692	LR: 0.004000
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Training Epoch: 30 [43520/46200]	Loss: 0.2669	LR: 0.004000
Training Epoch: 30 [43776/46200]	Loss: 0.1678	LR: 0.004000
Training Epoch: 30 [44032/46200]	Loss: 0.2834	LR: 0.004000
Training Epoch: 30 [44288/46200]	Loss: 0.2427	LR: 0.004000
Training Epoch: 30 [44544/46200]	Loss: 0.2301	LR: 0.004000
Training Epoch: 30 [44800/46200]	Loss: 0.1586	LR: 0.004000
Training Epoch: 30 [45056/46200]	Loss: 0.1664	LR: 0.004000
Training Epoch: 30 [45312/46200]	Loss: 0.2510	LR: 0.004000
Training Epoch: 30 [45568/46200]	Loss: 0.2377	LR: 0.004000
Training Epoch: 30 [45824/46200]	Loss: 0.2046	LR: 0.004000
Training Epoch: 30 [46080/46200]	Loss: 0.2185	LR: 0.004000
Training Epoch: 30 [46200/46200]	Loss: 0.1905	LR: 0.004000
Epoch 30 - Average Train Loss: 0.2238, Train Accuracy: 0.9279
Epoch 30 training time consumed: 27.80s
Evaluating Network.....
Test set: Epoch: 30, Average loss: 0.0027, Accuracy: 0.8028, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_05h_17m_13s/ResNet18-Cifar20-seed10-ret25-30-best.pth
Training Epoch: 31 [256/46200]	Loss: 0.2008	LR: 0.004000
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Training Epoch: 31 [40448/46200]	Loss: 0.1772	LR: 0.004000
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Training Epoch: 31 [43520/46200]	Loss: 0.1250	LR: 0.004000
Training Epoch: 31 [43776/46200]	Loss: 0.2090	LR: 0.004000
Training Epoch: 31 [44032/46200]	Loss: 0.1594	LR: 0.004000
Training Epoch: 31 [44288/46200]	Loss: 0.2384	LR: 0.004000
Training Epoch: 31 [44544/46200]	Loss: 0.1792	LR: 0.004000
Training Epoch: 31 [44800/46200]	Loss: 0.1980	LR: 0.004000
Training Epoch: 31 [45056/46200]	Loss: 0.1850	LR: 0.004000
Training Epoch: 31 [45312/46200]	Loss: 0.2115	LR: 0.004000
Training Epoch: 31 [45568/46200]	Loss: 0.1905	LR: 0.004000
Training Epoch: 31 [45824/46200]	Loss: 0.1792	LR: 0.004000
Training Epoch: 31 [46080/46200]	Loss: 0.2261	LR: 0.004000
Training Epoch: 31 [46200/46200]	Loss: 0.2215	LR: 0.004000
Epoch 31 - Average Train Loss: 0.1816, Train Accuracy: 0.9439
Epoch 31 training time consumed: 27.74s
Evaluating Network.....
Test set: Epoch: 31, Average loss: 0.0028, Accuracy: 0.8030, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_05h_17m_13s/ResNet18-Cifar20-seed10-ret25-31-best.pth
Training Epoch: 32 [256/46200]	Loss: 0.1058	LR: 0.004000
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Training Epoch: 32 [768/46200]	Loss: 0.1148	LR: 0.004000
Training Epoch: 32 [1024/46200]	Loss: 0.1502	LR: 0.004000
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Training Epoch: 32 [1536/46200]	Loss: 0.1618	LR: 0.004000
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Training Epoch: 32 [18176/46200]	Loss: 0.2269	LR: 0.004000
Training Epoch: 32 [18432/46200]	Loss: 0.1797	LR: 0.004000
Training Epoch: 32 [18688/46200]	Loss: 0.2164	LR: 0.004000
Training Epoch: 32 [18944/46200]	Loss: 0.1794	LR: 0.004000
Training Epoch: 32 [19200/46200]	Loss: 0.1836	LR: 0.004000
Training Epoch: 32 [19456/46200]	Loss: 0.1542	LR: 0.004000
Training Epoch: 32 [19712/46200]	Loss: 0.1644	LR: 0.004000
Training Epoch: 32 [19968/46200]	Loss: 0.2002	LR: 0.004000
Training Epoch: 32 [20224/46200]	Loss: 0.1385	LR: 0.004000
Training Epoch: 32 [20480/46200]	Loss: 0.1533	LR: 0.004000
Training Epoch: 32 [20736/46200]	Loss: 0.2060	LR: 0.004000
Training Epoch: 32 [20992/46200]	Loss: 0.1439	LR: 0.004000
Training Epoch: 32 [21248/46200]	Loss: 0.2334	LR: 0.004000
Training Epoch: 32 [21504/46200]	Loss: 0.2077	LR: 0.004000
Training Epoch: 32 [21760/46200]	Loss: 0.1929	LR: 0.004000
Training Epoch: 32 [22016/46200]	Loss: 0.1572	LR: 0.004000
Training Epoch: 32 [22272/46200]	Loss: 0.1313	LR: 0.004000
Training Epoch: 32 [22528/46200]	Loss: 0.1230	LR: 0.004000
Training Epoch: 32 [22784/46200]	Loss: 0.1416	LR: 0.004000
Training Epoch: 32 [23040/46200]	Loss: 0.1511	LR: 0.004000
Training Epoch: 32 [23296/46200]	Loss: 0.1716	LR: 0.004000
Training Epoch: 32 [23552/46200]	Loss: 0.1563	LR: 0.004000
Training Epoch: 32 [23808/46200]	Loss: 0.1820	LR: 0.004000
Training Epoch: 32 [24064/46200]	Loss: 0.1176	LR: 0.004000
Training Epoch: 32 [24320/46200]	Loss: 0.1900	LR: 0.004000
Training Epoch: 32 [24576/46200]	Loss: 0.1597	LR: 0.004000
Training Epoch: 32 [24832/46200]	Loss: 0.1551	LR: 0.004000
Training Epoch: 32 [25088/46200]	Loss: 0.1818	LR: 0.004000
Training Epoch: 32 [25344/46200]	Loss: 0.1297	LR: 0.004000
Training Epoch: 32 [25600/46200]	Loss: 0.2064	LR: 0.004000
Training Epoch: 32 [25856/46200]	Loss: 0.1591	LR: 0.004000
Training Epoch: 32 [26112/46200]	Loss: 0.1323	LR: 0.004000
Training Epoch: 32 [26368/46200]	Loss: 0.1486	LR: 0.004000
Training Epoch: 32 [26624/46200]	Loss: 0.2018	LR: 0.004000
Training Epoch: 32 [26880/46200]	Loss: 0.1771	LR: 0.004000
Training Epoch: 32 [27136/46200]	Loss: 0.1914	LR: 0.004000
Training Epoch: 32 [27392/46200]	Loss: 0.1189	LR: 0.004000
Training Epoch: 32 [27648/46200]	Loss: 0.1301	LR: 0.004000
Training Epoch: 32 [27904/46200]	Loss: 0.1069	LR: 0.004000
Training Epoch: 32 [28160/46200]	Loss: 0.1512	LR: 0.004000
Training Epoch: 32 [28416/46200]	Loss: 0.2308	LR: 0.004000
Training Epoch: 32 [28672/46200]	Loss: 0.1208	LR: 0.004000
Training Epoch: 32 [28928/46200]	Loss: 0.1777	LR: 0.004000
Training Epoch: 32 [29184/46200]	Loss: 0.1706	LR: 0.004000
Training Epoch: 32 [29440/46200]	Loss: 0.1546	LR: 0.004000
Training Epoch: 32 [29696/46200]	Loss: 0.1608	LR: 0.004000
Training Epoch: 32 [29952/46200]	Loss: 0.1754	LR: 0.004000
Training Epoch: 32 [30208/46200]	Loss: 0.1668	LR: 0.004000
Training Epoch: 32 [30464/46200]	Loss: 0.1622	LR: 0.004000
Training Epoch: 32 [30720/46200]	Loss: 0.2113	LR: 0.004000
Training Epoch: 32 [30976/46200]	Loss: 0.2211	LR: 0.004000
Training Epoch: 32 [31232/46200]	Loss: 0.1785	LR: 0.004000
Training Epoch: 32 [31488/46200]	Loss: 0.1352	LR: 0.004000
Training Epoch: 32 [31744/46200]	Loss: 0.1997	LR: 0.004000
Training Epoch: 32 [32000/46200]	Loss: 0.1689	LR: 0.004000
Training Epoch: 32 [32256/46200]	Loss: 0.1297	LR: 0.004000
Training Epoch: 32 [32512/46200]	Loss: 0.2862	LR: 0.004000
Training Epoch: 32 [32768/46200]	Loss: 0.1547	LR: 0.004000
Training Epoch: 32 [33024/46200]	Loss: 0.1454	LR: 0.004000
Training Epoch: 32 [33280/46200]	Loss: 0.1601	LR: 0.004000
Training Epoch: 32 [33536/46200]	Loss: 0.1221	LR: 0.004000
Training Epoch: 32 [33792/46200]	Loss: 0.1634	LR: 0.004000
Training Epoch: 32 [34048/46200]	Loss: 0.1569	LR: 0.004000
Training Epoch: 32 [34304/46200]	Loss: 0.1548	LR: 0.004000
Training Epoch: 32 [34560/46200]	Loss: 0.1069	LR: 0.004000
Training Epoch: 32 [34816/46200]	Loss: 0.1223	LR: 0.004000
Training Epoch: 32 [35072/46200]	Loss: 0.1488	LR: 0.004000
Training Epoch: 32 [35328/46200]	Loss: 0.1917	LR: 0.004000
Training Epoch: 32 [35584/46200]	Loss: 0.1732	LR: 0.004000
Training Epoch: 32 [35840/46200]	Loss: 0.1475	LR: 0.004000
Training Epoch: 32 [36096/46200]	Loss: 0.1725	LR: 0.004000
Training Epoch: 32 [36352/46200]	Loss: 0.1792	LR: 0.004000
Training Epoch: 32 [36608/46200]	Loss: 0.1460	LR: 0.004000
Training Epoch: 32 [36864/46200]	Loss: 0.1430	LR: 0.004000
Training Epoch: 32 [37120/46200]	Loss: 0.1875	LR: 0.004000
Training Epoch: 32 [37376/46200]	Loss: 0.1435	LR: 0.004000
Training Epoch: 32 [37632/46200]	Loss: 0.1854	LR: 0.004000
Training Epoch: 32 [37888/46200]	Loss: 0.1601	LR: 0.004000
Training Epoch: 32 [38144/46200]	Loss: 0.1803	LR: 0.004000
Training Epoch: 32 [38400/46200]	Loss: 0.1524	LR: 0.004000
Training Epoch: 32 [38656/46200]	Loss: 0.1830	LR: 0.004000
Training Epoch: 32 [38912/46200]	Loss: 0.1977	LR: 0.004000
Training Epoch: 32 [39168/46200]	Loss: 0.1481	LR: 0.004000
Training Epoch: 32 [39424/46200]	Loss: 0.1514	LR: 0.004000
Training Epoch: 32 [39680/46200]	Loss: 0.1626	LR: 0.004000
Training Epoch: 32 [39936/46200]	Loss: 0.1177	LR: 0.004000
Training Epoch: 32 [40192/46200]	Loss: 0.1611	LR: 0.004000
Training Epoch: 32 [40448/46200]	Loss: 0.1765	LR: 0.004000
Training Epoch: 32 [40704/46200]	Loss: 0.1881	LR: 0.004000
Training Epoch: 32 [40960/46200]	Loss: 0.1887	LR: 0.004000
Training Epoch: 32 [41216/46200]	Loss: 0.1925	LR: 0.004000
Training Epoch: 32 [41472/46200]	Loss: 0.1713	LR: 0.004000
Training Epoch: 32 [41728/46200]	Loss: 0.1190	LR: 0.004000
Training Epoch: 32 [41984/46200]	Loss: 0.1363	LR: 0.004000
Training Epoch: 32 [42240/46200]	Loss: 0.1740	LR: 0.004000
Training Epoch: 32 [42496/46200]	Loss: 0.1695	LR: 0.004000
Training Epoch: 32 [42752/46200]	Loss: 0.1751	LR: 0.004000
Training Epoch: 32 [43008/46200]	Loss: 0.1628	LR: 0.004000
Training Epoch: 32 [43264/46200]	Loss: 0.2282	LR: 0.004000
Training Epoch: 32 [43520/46200]	Loss: 0.1394	LR: 0.004000
Training Epoch: 32 [43776/46200]	Loss: 0.1750	LR: 0.004000
Training Epoch: 32 [44032/46200]	Loss: 0.1316	LR: 0.004000
Training Epoch: 32 [44288/46200]	Loss: 0.1625	LR: 0.004000
Training Epoch: 32 [44544/46200]	Loss: 0.1032	LR: 0.004000
Training Epoch: 32 [44800/46200]	Loss: 0.1597	LR: 0.004000
Training Epoch: 32 [45056/46200]	Loss: 0.1392	LR: 0.004000
Training Epoch: 32 [45312/46200]	Loss: 0.1399	LR: 0.004000
Training Epoch: 32 [45568/46200]	Loss: 0.1740	LR: 0.004000
Training Epoch: 32 [45824/46200]	Loss: 0.1348	LR: 0.004000
Training Epoch: 32 [46080/46200]	Loss: 0.2138	LR: 0.004000
Training Epoch: 32 [46200/46200]	Loss: 0.1630	LR: 0.004000
Epoch 32 - Average Train Loss: 0.1636, Train Accuracy: 0.9504
Epoch 32 training time consumed: 27.92s
Evaluating Network.....
Test set: Epoch: 32, Average loss: 0.0028, Accuracy: 0.8013, Time consumed:0.91s
Training Epoch: 33 [256/46200]	Loss: 0.1249	LR: 0.004000
Training Epoch: 33 [512/46200]	Loss: 0.2141	LR: 0.004000
Training Epoch: 33 [768/46200]	Loss: 0.1650	LR: 0.004000
Training Epoch: 33 [1024/46200]	Loss: 0.1216	LR: 0.004000
Training Epoch: 33 [1280/46200]	Loss: 0.1328	LR: 0.004000
Training Epoch: 33 [1536/46200]	Loss: 0.1479	LR: 0.004000
Training Epoch: 33 [1792/46200]	Loss: 0.1255	LR: 0.004000
Training Epoch: 33 [2048/46200]	Loss: 0.1205	LR: 0.004000
Training Epoch: 33 [2304/46200]	Loss: 0.1306	LR: 0.004000
Training Epoch: 33 [2560/46200]	Loss: 0.1338	LR: 0.004000
Training Epoch: 33 [2816/46200]	Loss: 0.1430	LR: 0.004000
Training Epoch: 33 [3072/46200]	Loss: 0.1525	LR: 0.004000
Training Epoch: 33 [3328/46200]	Loss: 0.1817	LR: 0.004000
Training Epoch: 33 [3584/46200]	Loss: 0.1549	LR: 0.004000
Training Epoch: 33 [3840/46200]	Loss: 0.1451	LR: 0.004000
Training Epoch: 33 [4096/46200]	Loss: 0.1550	LR: 0.004000
Training Epoch: 33 [4352/46200]	Loss: 0.0986	LR: 0.004000
Training Epoch: 33 [4608/46200]	Loss: 0.1512	LR: 0.004000
Training Epoch: 33 [4864/46200]	Loss: 0.1332	LR: 0.004000
Training Epoch: 33 [5120/46200]	Loss: 0.1580	LR: 0.004000
Training Epoch: 33 [5376/46200]	Loss: 0.1075	LR: 0.004000
Training Epoch: 33 [5632/46200]	Loss: 0.1522	LR: 0.004000
Training Epoch: 33 [5888/46200]	Loss: 0.1176	LR: 0.004000
Training Epoch: 33 [6144/46200]	Loss: 0.1528	LR: 0.004000
Training Epoch: 33 [6400/46200]	Loss: 0.1189	LR: 0.004000
Training Epoch: 33 [6656/46200]	Loss: 0.1565	LR: 0.004000
Training Epoch: 33 [6912/46200]	Loss: 0.1697	LR: 0.004000
Training Epoch: 33 [7168/46200]	Loss: 0.1543	LR: 0.004000
Training Epoch: 33 [7424/46200]	Loss: 0.0986	LR: 0.004000
Training Epoch: 33 [7680/46200]	Loss: 0.1296	LR: 0.004000
Training Epoch: 33 [7936/46200]	Loss: 0.1173	LR: 0.004000
Training Epoch: 33 [8192/46200]	Loss: 0.1240	LR: 0.004000
Training Epoch: 33 [8448/46200]	Loss: 0.1317	LR: 0.004000
Training Epoch: 33 [8704/46200]	Loss: 0.1535	LR: 0.004000
Training Epoch: 33 [8960/46200]	Loss: 0.1473	LR: 0.004000
Training Epoch: 33 [9216/46200]	Loss: 0.1641	LR: 0.004000
Training Epoch: 33 [9472/46200]	Loss: 0.1235	LR: 0.004000
Training Epoch: 33 [9728/46200]	Loss: 0.1401	LR: 0.004000
Training Epoch: 33 [9984/46200]	Loss: 0.1475	LR: 0.004000
Training Epoch: 33 [10240/46200]	Loss: 0.1531	LR: 0.004000
Training Epoch: 33 [10496/46200]	Loss: 0.1721	LR: 0.004000
Training Epoch: 33 [10752/46200]	Loss: 0.1428	LR: 0.004000
Training Epoch: 33 [11008/46200]	Loss: 0.1270	LR: 0.004000
Training Epoch: 33 [11264/46200]	Loss: 0.1385	LR: 0.004000
Training Epoch: 33 [11520/46200]	Loss: 0.1398	LR: 0.004000
Training Epoch: 33 [11776/46200]	Loss: 0.1707	LR: 0.004000
Training Epoch: 33 [12032/46200]	Loss: 0.1069	LR: 0.004000
Training Epoch: 33 [12288/46200]	Loss: 0.1846	LR: 0.004000
Training Epoch: 33 [12544/46200]	Loss: 0.1425	LR: 0.004000
Training Epoch: 33 [12800/46200]	Loss: 0.1461	LR: 0.004000
Training Epoch: 33 [13056/46200]	Loss: 0.1837	LR: 0.004000
Training Epoch: 33 [13312/46200]	Loss: 0.1684	LR: 0.004000
Training Epoch: 33 [13568/46200]	Loss: 0.1468	LR: 0.004000
Training Epoch: 33 [13824/46200]	Loss: 0.1629	LR: 0.004000
Training Epoch: 33 [14080/46200]	Loss: 0.1312	LR: 0.004000
Training Epoch: 33 [14336/46200]	Loss: 0.1270	LR: 0.004000
Training Epoch: 33 [14592/46200]	Loss: 0.1555	LR: 0.004000
Training Epoch: 33 [14848/46200]	Loss: 0.1901	LR: 0.004000
Training Epoch: 33 [15104/46200]	Loss: 0.1596	LR: 0.004000
Training Epoch: 33 [15360/46200]	Loss: 0.1580	LR: 0.004000
Training Epoch: 33 [15616/46200]	Loss: 0.1224	LR: 0.004000
Training Epoch: 33 [15872/46200]	Loss: 0.1597	LR: 0.004000
Training Epoch: 33 [16128/46200]	Loss: 0.1184	LR: 0.004000
Training Epoch: 33 [16384/46200]	Loss: 0.1180	LR: 0.004000
Training Epoch: 33 [16640/46200]	Loss: 0.1345	LR: 0.004000
Training Epoch: 33 [16896/46200]	Loss: 0.1335	LR: 0.004000
Training Epoch: 33 [17152/46200]	Loss: 0.1465	LR: 0.004000
Training Epoch: 33 [17408/46200]	Loss: 0.1624	LR: 0.004000
Training Epoch: 33 [17664/46200]	Loss: 0.0829	LR: 0.004000
Training Epoch: 33 [17920/46200]	Loss: 0.1002	LR: 0.004000
Training Epoch: 33 [18176/46200]	Loss: 0.1544	LR: 0.004000
Training Epoch: 33 [18432/46200]	Loss: 0.1543	LR: 0.004000
Training Epoch: 33 [18688/46200]	Loss: 0.1134	LR: 0.004000
Training Epoch: 33 [18944/46200]	Loss: 0.1304	LR: 0.004000
Training Epoch: 33 [19200/46200]	Loss: 0.1519	LR: 0.004000
Training Epoch: 33 [19456/46200]	Loss: 0.1108	LR: 0.004000
Training Epoch: 33 [19712/46200]	Loss: 0.1310	LR: 0.004000
Training Epoch: 33 [19968/46200]	Loss: 0.1366	LR: 0.004000
Training Epoch: 33 [20224/46200]	Loss: 0.1234	LR: 0.004000
Training Epoch: 33 [20480/46200]	Loss: 0.2102	LR: 0.004000
Training Epoch: 33 [20736/46200]	Loss: 0.1409	LR: 0.004000
Training Epoch: 33 [20992/46200]	Loss: 0.0995	LR: 0.004000
Training Epoch: 33 [21248/46200]	Loss: 0.1493	LR: 0.004000
Training Epoch: 33 [21504/46200]	Loss: 0.1891	LR: 0.004000
Training Epoch: 33 [21760/46200]	Loss: 0.1484	LR: 0.004000
Training Epoch: 33 [22016/46200]	Loss: 0.1640	LR: 0.004000
Training Epoch: 33 [22272/46200]	Loss: 0.1643	LR: 0.004000
Training Epoch: 33 [22528/46200]	Loss: 0.1662	LR: 0.004000
Training Epoch: 33 [22784/46200]	Loss: 0.1778	LR: 0.004000
Training Epoch: 33 [23040/46200]	Loss: 0.1412	LR: 0.004000
Training Epoch: 33 [23296/46200]	Loss: 0.1196	LR: 0.004000
Training Epoch: 33 [23552/46200]	Loss: 0.1121	LR: 0.004000
Training Epoch: 33 [23808/46200]	Loss: 0.1297	LR: 0.004000
Training Epoch: 33 [24064/46200]	Loss: 0.1426	LR: 0.004000
Training Epoch: 33 [24320/46200]	Loss: 0.1390	LR: 0.004000
Training Epoch: 33 [24576/46200]	Loss: 0.1219	LR: 0.004000
Training Epoch: 33 [24832/46200]	Loss: 0.1404	LR: 0.004000
Training Epoch: 33 [25088/46200]	Loss: 0.1515	LR: 0.004000
Training Epoch: 33 [25344/46200]	Loss: 0.1145	LR: 0.004000
Training Epoch: 33 [25600/46200]	Loss: 0.1788	LR: 0.004000
Training Epoch: 33 [25856/46200]	Loss: 0.1580	LR: 0.004000
Training Epoch: 33 [26112/46200]	Loss: 0.1535	LR: 0.004000
Training Epoch: 33 [26368/46200]	Loss: 0.1422	LR: 0.004000
Training Epoch: 33 [26624/46200]	Loss: 0.1535	LR: 0.004000
Training Epoch: 33 [26880/46200]	Loss: 0.1283	LR: 0.004000
Training Epoch: 33 [27136/46200]	Loss: 0.1594	LR: 0.004000
Training Epoch: 33 [27392/46200]	Loss: 0.1366	LR: 0.004000
Training Epoch: 33 [27648/46200]	Loss: 0.1478	LR: 0.004000
Training Epoch: 33 [27904/46200]	Loss: 0.1305	LR: 0.004000
Training Epoch: 33 [28160/46200]	Loss: 0.1203	LR: 0.004000
Training Epoch: 33 [28416/46200]	Loss: 0.1284	LR: 0.004000
Training Epoch: 33 [28672/46200]	Loss: 0.2376	LR: 0.004000
Training Epoch: 33 [28928/46200]	Loss: 0.1370	LR: 0.004000
Training Epoch: 33 [29184/46200]	Loss: 0.1477	LR: 0.004000
Training Epoch: 33 [29440/46200]	Loss: 0.1545	LR: 0.004000
Training Epoch: 33 [29696/46200]	Loss: 0.1361	LR: 0.004000
Training Epoch: 33 [29952/46200]	Loss: 0.1638	LR: 0.004000
Training Epoch: 33 [30208/46200]	Loss: 0.1424	LR: 0.004000
Training Epoch: 33 [30464/46200]	Loss: 0.1878	LR: 0.004000
Training Epoch: 33 [30720/46200]	Loss: 0.1156	LR: 0.004000
Training Epoch: 33 [30976/46200]	Loss: 0.1075	LR: 0.004000
Training Epoch: 33 [31232/46200]	Loss: 0.1698	LR: 0.004000
Training Epoch: 33 [31488/46200]	Loss: 0.1478	LR: 0.004000
Training Epoch: 33 [31744/46200]	Loss: 0.1758	LR: 0.004000
Training Epoch: 33 [32000/46200]	Loss: 0.1813	LR: 0.004000
Training Epoch: 33 [32256/46200]	Loss: 0.1334	LR: 0.004000
Training Epoch: 33 [32512/46200]	Loss: 0.2219	LR: 0.004000
Training Epoch: 33 [32768/46200]	Loss: 0.1429	LR: 0.004000
Training Epoch: 33 [33024/46200]	Loss: 0.1249	LR: 0.004000
Training Epoch: 33 [33280/46200]	Loss: 0.1567	LR: 0.004000
Training Epoch: 33 [33536/46200]	Loss: 0.1658	LR: 0.004000
Training Epoch: 33 [33792/46200]	Loss: 0.1451	LR: 0.004000
Training Epoch: 33 [34048/46200]	Loss: 0.1290	LR: 0.004000
Training Epoch: 33 [34304/46200]	Loss: 0.1308	LR: 0.004000
Training Epoch: 33 [34560/46200]	Loss: 0.1215	LR: 0.004000
Training Epoch: 33 [34816/46200]	Loss: 0.1492	LR: 0.004000
Training Epoch: 33 [35072/46200]	Loss: 0.1486	LR: 0.004000
Training Epoch: 33 [35328/46200]	Loss: 0.1586	LR: 0.004000
Training Epoch: 33 [35584/46200]	Loss: 0.1293	LR: 0.004000
Training Epoch: 33 [35840/46200]	Loss: 0.2077	LR: 0.004000
Training Epoch: 33 [36096/46200]	Loss: 0.1379	LR: 0.004000
Training Epoch: 33 [36352/46200]	Loss: 0.2183	LR: 0.004000
Training Epoch: 33 [36608/46200]	Loss: 0.1627	LR: 0.004000
Training Epoch: 33 [36864/46200]	Loss: 0.1284	LR: 0.004000
Training Epoch: 33 [37120/46200]	Loss: 0.1669	LR: 0.004000
Training Epoch: 33 [37376/46200]	Loss: 0.1262	LR: 0.004000
Training Epoch: 33 [37632/46200]	Loss: 0.1400	LR: 0.004000
Training Epoch: 33 [37888/46200]	Loss: 0.1844	LR: 0.004000
Training Epoch: 33 [38144/46200]	Loss: 0.1656	LR: 0.004000
Training Epoch: 33 [38400/46200]	Loss: 0.1524	LR: 0.004000
Training Epoch: 33 [38656/46200]	Loss: 0.1449	LR: 0.004000
Training Epoch: 33 [38912/46200]	Loss: 0.1768	LR: 0.004000
Training Epoch: 33 [39168/46200]	Loss: 0.1420	LR: 0.004000
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Training Epoch: 33 [39680/46200]	Loss: 0.1890	LR: 0.004000
Training Epoch: 33 [39936/46200]	Loss: 0.0830	LR: 0.004000
Training Epoch: 33 [40192/46200]	Loss: 0.2160	LR: 0.004000
Training Epoch: 33 [40448/46200]	Loss: 0.1131	LR: 0.004000
Training Epoch: 33 [40704/46200]	Loss: 0.1604	LR: 0.004000
Training Epoch: 33 [40960/46200]	Loss: 0.1472	LR: 0.004000
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Training Epoch: 33 [41472/46200]	Loss: 0.1651	LR: 0.004000
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Training Epoch: 33 [43008/46200]	Loss: 0.1686	LR: 0.004000
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Training Epoch: 33 [45568/46200]	Loss: 0.1630	LR: 0.004000
Training Epoch: 33 [45824/46200]	Loss: 0.1465	LR: 0.004000
Training Epoch: 33 [46080/46200]	Loss: 0.1666	LR: 0.004000
Training Epoch: 33 [46200/46200]	Loss: 0.1140	LR: 0.004000
Epoch 33 - Average Train Loss: 0.1476, Train Accuracy: 0.9552
Epoch 33 training time consumed: 27.86s
Evaluating Network.....
Test set: Epoch: 33, Average loss: 0.0028, Accuracy: 0.8020, Time consumed:0.90s
Training Epoch: 34 [256/46200]	Loss: 0.1249	LR: 0.004000
Training Epoch: 34 [512/46200]	Loss: 0.1337	LR: 0.004000
Training Epoch: 34 [768/46200]	Loss: 0.1389	LR: 0.004000
Training Epoch: 34 [1024/46200]	Loss: 0.1729	LR: 0.004000
Training Epoch: 34 [1280/46200]	Loss: 0.1444	LR: 0.004000
Training Epoch: 34 [1536/46200]	Loss: 0.1142	LR: 0.004000
Training Epoch: 34 [1792/46200]	Loss: 0.1118	LR: 0.004000
Training Epoch: 34 [2048/46200]	Loss: 0.1364	LR: 0.004000
Training Epoch: 34 [2304/46200]	Loss: 0.1273	LR: 0.004000
Training Epoch: 34 [2560/46200]	Loss: 0.1791	LR: 0.004000
Training Epoch: 34 [2816/46200]	Loss: 0.1280	LR: 0.004000
Training Epoch: 34 [3072/46200]	Loss: 0.1392	LR: 0.004000
Training Epoch: 34 [3328/46200]	Loss: 0.1927	LR: 0.004000
Training Epoch: 34 [3584/46200]	Loss: 0.1244	LR: 0.004000
Training Epoch: 34 [3840/46200]	Loss: 0.1295	LR: 0.004000
Training Epoch: 34 [4096/46200]	Loss: 0.1855	LR: 0.004000
Training Epoch: 34 [4352/46200]	Loss: 0.1068	LR: 0.004000
Training Epoch: 34 [4608/46200]	Loss: 0.1058	LR: 0.004000
Training Epoch: 34 [4864/46200]	Loss: 0.1299	LR: 0.004000
Training Epoch: 34 [5120/46200]	Loss: 0.1176	LR: 0.004000
Training Epoch: 34 [5376/46200]	Loss: 0.1695	LR: 0.004000
Training Epoch: 34 [5632/46200]	Loss: 0.1432	LR: 0.004000
Training Epoch: 34 [5888/46200]	Loss: 0.1174	LR: 0.004000
Training Epoch: 34 [6144/46200]	Loss: 0.0984	LR: 0.004000
Training Epoch: 34 [6400/46200]	Loss: 0.1281	LR: 0.004000
Training Epoch: 34 [6656/46200]	Loss: 0.1686	LR: 0.004000
Training Epoch: 34 [6912/46200]	Loss: 0.1984	LR: 0.004000
Training Epoch: 34 [7168/46200]	Loss: 0.1378	LR: 0.004000
Training Epoch: 34 [7424/46200]	Loss: 0.1416	LR: 0.004000
Training Epoch: 34 [7680/46200]	Loss: 0.1499	LR: 0.004000
Training Epoch: 34 [7936/46200]	Loss: 0.1334	LR: 0.004000
Training Epoch: 34 [8192/46200]	Loss: 0.1105	LR: 0.004000
Training Epoch: 34 [8448/46200]	Loss: 0.0838	LR: 0.004000
Training Epoch: 34 [8704/46200]	Loss: 0.1402	LR: 0.004000
Training Epoch: 34 [8960/46200]	Loss: 0.1073	LR: 0.004000
Training Epoch: 34 [9216/46200]	Loss: 0.1477	LR: 0.004000
Training Epoch: 34 [9472/46200]	Loss: 0.1022	LR: 0.004000
Training Epoch: 34 [9728/46200]	Loss: 0.1824	LR: 0.004000
Training Epoch: 34 [9984/46200]	Loss: 0.1358	LR: 0.004000
Training Epoch: 34 [10240/46200]	Loss: 0.1390	LR: 0.004000
Training Epoch: 34 [10496/46200]	Loss: 0.1402	LR: 0.004000
Training Epoch: 34 [10752/46200]	Loss: 0.1707	LR: 0.004000
Training Epoch: 34 [11008/46200]	Loss: 0.0927	LR: 0.004000
Training Epoch: 34 [11264/46200]	Loss: 0.1116	LR: 0.004000
Training Epoch: 34 [11520/46200]	Loss: 0.1361	LR: 0.004000
Training Epoch: 34 [11776/46200]	Loss: 0.1358	LR: 0.004000
Training Epoch: 34 [12032/46200]	Loss: 0.1127	LR: 0.004000
Training Epoch: 34 [12288/46200]	Loss: 0.1743	LR: 0.004000
Training Epoch: 34 [12544/46200]	Loss: 0.1681	LR: 0.004000
Training Epoch: 34 [12800/46200]	Loss: 0.1047	LR: 0.004000
Training Epoch: 34 [13056/46200]	Loss: 0.1024	LR: 0.004000
Training Epoch: 34 [13312/46200]	Loss: 0.1645	LR: 0.004000
Training Epoch: 34 [13568/46200]	Loss: 0.1480	LR: 0.004000
Training Epoch: 34 [13824/46200]	Loss: 0.2071	LR: 0.004000
Training Epoch: 34 [14080/46200]	Loss: 0.1258	LR: 0.004000
Training Epoch: 34 [14336/46200]	Loss: 0.1418	LR: 0.004000
Training Epoch: 34 [14592/46200]	Loss: 0.1128	LR: 0.004000
Training Epoch: 34 [14848/46200]	Loss: 0.1463	LR: 0.004000
Training Epoch: 34 [15104/46200]	Loss: 0.1289	LR: 0.004000
Training Epoch: 34 [15360/46200]	Loss: 0.1348	LR: 0.004000
Training Epoch: 34 [15616/46200]	Loss: 0.1333	LR: 0.004000
Training Epoch: 34 [15872/46200]	Loss: 0.1752	LR: 0.004000
Training Epoch: 34 [16128/46200]	Loss: 0.2037	LR: 0.004000
Training Epoch: 34 [16384/46200]	Loss: 0.1925	LR: 0.004000
Training Epoch: 34 [16640/46200]	Loss: 0.1339	LR: 0.004000
Training Epoch: 34 [16896/46200]	Loss: 0.1293	LR: 0.004000
Training Epoch: 34 [17152/46200]	Loss: 0.1096	LR: 0.004000
Training Epoch: 34 [17408/46200]	Loss: 0.1750	LR: 0.004000
Training Epoch: 34 [17664/46200]	Loss: 0.0993	LR: 0.004000
Training Epoch: 34 [17920/46200]	Loss: 0.1850	LR: 0.004000
Training Epoch: 34 [18176/46200]	Loss: 0.1636	LR: 0.004000
Training Epoch: 34 [18432/46200]	Loss: 0.1388	LR: 0.004000
Training Epoch: 34 [18688/46200]	Loss: 0.1664	LR: 0.004000
Training Epoch: 34 [18944/46200]	Loss: 0.1069	LR: 0.004000
Training Epoch: 34 [19200/46200]	Loss: 0.1408	LR: 0.004000
Training Epoch: 34 [19456/46200]	Loss: 0.1700	LR: 0.004000
Training Epoch: 34 [19712/46200]	Loss: 0.1353	LR: 0.004000
Training Epoch: 34 [19968/46200]	Loss: 0.1093	LR: 0.004000
Training Epoch: 34 [20224/46200]	Loss: 0.0976	LR: 0.004000
Training Epoch: 34 [20480/46200]	Loss: 0.1016	LR: 0.004000
Training Epoch: 34 [20736/46200]	Loss: 0.1375	LR: 0.004000
Training Epoch: 34 [20992/46200]	Loss: 0.1820	LR: 0.004000
Training Epoch: 34 [21248/46200]	Loss: 0.1352	LR: 0.004000
Training Epoch: 34 [21504/46200]	Loss: 0.1175	LR: 0.004000
Training Epoch: 34 [21760/46200]	Loss: 0.1193	LR: 0.004000
Training Epoch: 34 [22016/46200]	Loss: 0.1645	LR: 0.004000
Training Epoch: 34 [22272/46200]	Loss: 0.1472	LR: 0.004000
Training Epoch: 34 [22528/46200]	Loss: 0.1215	LR: 0.004000
Training Epoch: 34 [22784/46200]	Loss: 0.1456	LR: 0.004000
Training Epoch: 34 [23040/46200]	Loss: 0.1607	LR: 0.004000
Training Epoch: 34 [23296/46200]	Loss: 0.1700	LR: 0.004000
Training Epoch: 34 [23552/46200]	Loss: 0.0941	LR: 0.004000
Training Epoch: 34 [23808/46200]	Loss: 0.1326	LR: 0.004000
Training Epoch: 34 [24064/46200]	Loss: 0.1378	LR: 0.004000
Training Epoch: 34 [24320/46200]	Loss: 0.1626	LR: 0.004000
Training Epoch: 34 [24576/46200]	Loss: 0.1147	LR: 0.004000
Training Epoch: 34 [24832/46200]	Loss: 0.1675	LR: 0.004000
Training Epoch: 34 [25088/46200]	Loss: 0.1934	LR: 0.004000
Training Epoch: 34 [25344/46200]	Loss: 0.1326	LR: 0.004000
Training Epoch: 34 [25600/46200]	Loss: 0.1619	LR: 0.004000
Training Epoch: 34 [25856/46200]	Loss: 0.1260	LR: 0.004000
Training Epoch: 34 [26112/46200]	Loss: 0.1102	LR: 0.004000
Training Epoch: 34 [26368/46200]	Loss: 0.1033	LR: 0.004000
Training Epoch: 34 [26624/46200]	Loss: 0.1350	LR: 0.004000
Training Epoch: 34 [26880/46200]	Loss: 0.1794	LR: 0.004000
Training Epoch: 34 [27136/46200]	Loss: 0.1707	LR: 0.004000
Training Epoch: 34 [27392/46200]	Loss: 0.2129	LR: 0.004000
Training Epoch: 34 [27648/46200]	Loss: 0.1513	LR: 0.004000
Training Epoch: 34 [27904/46200]	Loss: 0.1247	LR: 0.004000
Training Epoch: 34 [28160/46200]	Loss: 0.1487	LR: 0.004000
Training Epoch: 34 [28416/46200]	Loss: 0.1195	LR: 0.004000
Training Epoch: 34 [28672/46200]	Loss: 0.1451	LR: 0.004000
Training Epoch: 34 [28928/46200]	Loss: 0.1451	LR: 0.004000
Training Epoch: 34 [29184/46200]	Loss: 0.1110	LR: 0.004000
Training Epoch: 34 [29440/46200]	Loss: 0.1202	LR: 0.004000
Training Epoch: 34 [29696/46200]	Loss: 0.0869	LR: 0.004000
Training Epoch: 34 [29952/46200]	Loss: 0.1463	LR: 0.004000
Training Epoch: 34 [30208/46200]	Loss: 0.1009	LR: 0.004000
Training Epoch: 34 [30464/46200]	Loss: 0.1654	LR: 0.004000
Training Epoch: 34 [30720/46200]	Loss: 0.1474	LR: 0.004000
Training Epoch: 34 [30976/46200]	Loss: 0.1411	LR: 0.004000
Training Epoch: 34 [31232/46200]	Loss: 0.1796	LR: 0.004000
Training Epoch: 34 [31488/46200]	Loss: 0.1332	LR: 0.004000
Training Epoch: 34 [31744/46200]	Loss: 0.1722	LR: 0.004000
Training Epoch: 34 [32000/46200]	Loss: 0.1251	LR: 0.004000
Training Epoch: 34 [32256/46200]	Loss: 0.1191	LR: 0.004000
Training Epoch: 34 [32512/46200]	Loss: 0.1257	LR: 0.004000
Training Epoch: 34 [32768/46200]	Loss: 0.1243	LR: 0.004000
Training Epoch: 34 [33024/46200]	Loss: 0.1496	LR: 0.004000
Training Epoch: 34 [33280/46200]	Loss: 0.1418	LR: 0.004000
Training Epoch: 34 [33536/46200]	Loss: 0.1578	LR: 0.004000
Training Epoch: 34 [33792/46200]	Loss: 0.1053	LR: 0.004000
Training Epoch: 34 [34048/46200]	Loss: 0.1608	LR: 0.004000
Training Epoch: 34 [34304/46200]	Loss: 0.1029	LR: 0.004000
Training Epoch: 34 [34560/46200]	Loss: 0.1529	LR: 0.004000
Training Epoch: 34 [34816/46200]	Loss: 0.1272	LR: 0.004000
Training Epoch: 34 [35072/46200]	Loss: 0.1021	LR: 0.004000
Training Epoch: 34 [35328/46200]	Loss: 0.1167	LR: 0.004000
Training Epoch: 34 [35584/46200]	Loss: 0.1122	LR: 0.004000
Training Epoch: 34 [35840/46200]	Loss: 0.1607	LR: 0.004000
Training Epoch: 34 [36096/46200]	Loss: 0.1487	LR: 0.004000
Training Epoch: 34 [36352/46200]	Loss: 0.2066	LR: 0.004000
Training Epoch: 34 [36608/46200]	Loss: 0.1462	LR: 0.004000
Training Epoch: 34 [36864/46200]	Loss: 0.1417	LR: 0.004000
Training Epoch: 34 [37120/46200]	Loss: 0.1341	LR: 0.004000
Training Epoch: 34 [37376/46200]	Loss: 0.1547	LR: 0.004000
Training Epoch: 34 [37632/46200]	Loss: 0.1316	LR: 0.004000
Training Epoch: 34 [37888/46200]	Loss: 0.1659	LR: 0.004000
Training Epoch: 34 [38144/46200]	Loss: 0.1567	LR: 0.004000
Training Epoch: 34 [38400/46200]	Loss: 0.1152	LR: 0.004000
Training Epoch: 34 [38656/46200]	Loss: 0.1696	LR: 0.004000
Training Epoch: 34 [38912/46200]	Loss: 0.1707	LR: 0.004000
Training Epoch: 34 [39168/46200]	Loss: 0.0893	LR: 0.004000
Training Epoch: 34 [39424/46200]	Loss: 0.1524	LR: 0.004000
Training Epoch: 34 [39680/46200]	Loss: 0.0950	LR: 0.004000
Training Epoch: 34 [39936/46200]	Loss: 0.1096	LR: 0.004000
Training Epoch: 34 [40192/46200]	Loss: 0.1388	LR: 0.004000
Training Epoch: 34 [40448/46200]	Loss: 0.1510	LR: 0.004000
Training Epoch: 34 [40704/46200]	Loss: 0.1745	LR: 0.004000
Training Epoch: 34 [40960/46200]	Loss: 0.1422	LR: 0.004000
Training Epoch: 34 [41216/46200]	Loss: 0.1572	LR: 0.004000
Training Epoch: 34 [41472/46200]	Loss: 0.1133	LR: 0.004000
Training Epoch: 34 [41728/46200]	Loss: 0.1713	LR: 0.004000
Training Epoch: 34 [41984/46200]	Loss: 0.1273	LR: 0.004000
Training Epoch: 34 [42240/46200]	Loss: 0.1146	LR: 0.004000
Training Epoch: 34 [42496/46200]	Loss: 0.1129	LR: 0.004000
Training Epoch: 34 [42752/46200]	Loss: 0.1375	LR: 0.004000
Training Epoch: 34 [43008/46200]	Loss: 0.1304	LR: 0.004000
Training Epoch: 34 [43264/46200]	Loss: 0.1132	LR: 0.004000
Training Epoch: 34 [43520/46200]	Loss: 0.1224	LR: 0.004000
Training Epoch: 34 [43776/46200]	Loss: 0.1532	LR: 0.004000
Training Epoch: 34 [44032/46200]	Loss: 0.1622	LR: 0.004000
Training Epoch: 34 [44288/46200]	Loss: 0.1308	LR: 0.004000
Training Epoch: 34 [44544/46200]	Loss: 0.1313	LR: 0.004000
Training Epoch: 34 [44800/46200]	Loss: 0.1325	LR: 0.004000
Training Epoch: 34 [45056/46200]	Loss: 0.1429	LR: 0.004000
Training Epoch: 34 [45312/46200]	Loss: 0.1601	LR: 0.004000
Training Epoch: 34 [45568/46200]	Loss: 0.1098	LR: 0.004000
Training Epoch: 34 [45824/46200]	Loss: 0.1904	LR: 0.004000
Training Epoch: 34 [46080/46200]	Loss: 0.1139	LR: 0.004000
Training Epoch: 34 [46200/46200]	Loss: 0.1807	LR: 0.004000
Epoch 34 - Average Train Loss: 0.1395, Train Accuracy: 0.9577
Epoch 34 training time consumed: 27.74s
Evaluating Network.....
Test set: Epoch: 34, Average loss: 0.0029, Accuracy: 0.8026, Time consumed:0.93s
Training Epoch: 35 [256/46200]	Loss: 0.1354	LR: 0.000800
Training Epoch: 35 [512/46200]	Loss: 0.1497	LR: 0.000800
Training Epoch: 35 [768/46200]	Loss: 0.1291	LR: 0.000800
Training Epoch: 35 [1024/46200]	Loss: 0.1267	LR: 0.000800
Training Epoch: 35 [1280/46200]	Loss: 0.1101	LR: 0.000800
Training Epoch: 35 [1536/46200]	Loss: 0.1468	LR: 0.000800
Training Epoch: 35 [1792/46200]	Loss: 0.0919	LR: 0.000800
Training Epoch: 35 [2048/46200]	Loss: 0.1720	LR: 0.000800
Training Epoch: 35 [2304/46200]	Loss: 0.1312	LR: 0.000800
Training Epoch: 35 [2560/46200]	Loss: 0.1636	LR: 0.000800
Training Epoch: 35 [2816/46200]	Loss: 0.1639	LR: 0.000800
Training Epoch: 35 [3072/46200]	Loss: 0.1653	LR: 0.000800
Training Epoch: 35 [3328/46200]	Loss: 0.1267	LR: 0.000800
Training Epoch: 35 [3584/46200]	Loss: 0.1241	LR: 0.000800
Training Epoch: 35 [3840/46200]	Loss: 0.1208	LR: 0.000800
Training Epoch: 35 [4096/46200]	Loss: 0.1267	LR: 0.000800
Training Epoch: 35 [4352/46200]	Loss: 0.1317	LR: 0.000800
Training Epoch: 35 [4608/46200]	Loss: 0.1525	LR: 0.000800
Training Epoch: 35 [4864/46200]	Loss: 0.1940	LR: 0.000800
Training Epoch: 35 [5120/46200]	Loss: 0.1016	LR: 0.000800
Training Epoch: 35 [5376/46200]	Loss: 0.0968	LR: 0.000800
Training Epoch: 35 [5632/46200]	Loss: 0.1494	LR: 0.000800
Training Epoch: 35 [5888/46200]	Loss: 0.0882	LR: 0.000800
Training Epoch: 35 [6144/46200]	Loss: 0.1272	LR: 0.000800
Training Epoch: 35 [6400/46200]	Loss: 0.1102	LR: 0.000800
Training Epoch: 35 [6656/46200]	Loss: 0.1456	LR: 0.000800
Training Epoch: 35 [6912/46200]	Loss: 0.1293	LR: 0.000800
Training Epoch: 35 [7168/46200]	Loss: 0.1380	LR: 0.000800
Training Epoch: 35 [7424/46200]	Loss: 0.1182	LR: 0.000800
Training Epoch: 35 [7680/46200]	Loss: 0.1134	LR: 0.000800
Training Epoch: 35 [7936/46200]	Loss: 0.1381	LR: 0.000800
Training Epoch: 35 [8192/46200]	Loss: 0.1682	LR: 0.000800
Training Epoch: 35 [8448/46200]	Loss: 0.1251	LR: 0.000800
Training Epoch: 35 [8704/46200]	Loss: 0.1272	LR: 0.000800
Training Epoch: 35 [8960/46200]	Loss: 0.1292	LR: 0.000800
Training Epoch: 35 [9216/46200]	Loss: 0.1262	LR: 0.000800
Training Epoch: 35 [9472/46200]	Loss: 0.1144	LR: 0.000800
Training Epoch: 35 [9728/46200]	Loss: 0.1165	LR: 0.000800
Training Epoch: 35 [9984/46200]	Loss: 0.1265	LR: 0.000800
Training Epoch: 35 [10240/46200]	Loss: 0.1320	LR: 0.000800
Training Epoch: 35 [10496/46200]	Loss: 0.1253	LR: 0.000800
Training Epoch: 35 [10752/46200]	Loss: 0.0787	LR: 0.000800
Training Epoch: 35 [11008/46200]	Loss: 0.1733	LR: 0.000800
Training Epoch: 35 [11264/46200]	Loss: 0.1393	LR: 0.000800
Training Epoch: 35 [11520/46200]	Loss: 0.0937	LR: 0.000800
Training Epoch: 35 [11776/46200]	Loss: 0.1526	LR: 0.000800
Training Epoch: 35 [12032/46200]	Loss: 0.0689	LR: 0.000800
Training Epoch: 35 [12288/46200]	Loss: 0.1332	LR: 0.000800
Training Epoch: 35 [12544/46200]	Loss: 0.1221	LR: 0.000800
Training Epoch: 35 [12800/46200]	Loss: 0.0803	LR: 0.000800
Training Epoch: 35 [13056/46200]	Loss: 0.0944	LR: 0.000800
Training Epoch: 35 [13312/46200]	Loss: 0.1148	LR: 0.000800
Training Epoch: 35 [13568/46200]	Loss: 0.1094	LR: 0.000800
Training Epoch: 35 [13824/46200]	Loss: 0.1223	LR: 0.000800
Training Epoch: 35 [14080/46200]	Loss: 0.1059	LR: 0.000800
Training Epoch: 35 [14336/46200]	Loss: 0.1134	LR: 0.000800
Training Epoch: 35 [14592/46200]	Loss: 0.1302	LR: 0.000800
Training Epoch: 35 [14848/46200]	Loss: 0.0880	LR: 0.000800
Training Epoch: 35 [15104/46200]	Loss: 0.1343	LR: 0.000800
Training Epoch: 35 [15360/46200]	Loss: 0.1597	LR: 0.000800
Training Epoch: 35 [15616/46200]	Loss: 0.1965	LR: 0.000800
Training Epoch: 35 [15872/46200]	Loss: 0.1072	LR: 0.000800
Training Epoch: 35 [16128/46200]	Loss: 0.0744	LR: 0.000800
Training Epoch: 35 [16384/46200]	Loss: 0.1287	LR: 0.000800
Training Epoch: 35 [16640/46200]	Loss: 0.1214	LR: 0.000800
Training Epoch: 35 [16896/46200]	Loss: 0.1303	LR: 0.000800
Training Epoch: 35 [17152/46200]	Loss: 0.1577	LR: 0.000800
Training Epoch: 35 [17408/46200]	Loss: 0.1216	LR: 0.000800
Training Epoch: 35 [17664/46200]	Loss: 0.1121	LR: 0.000800
Training Epoch: 35 [17920/46200]	Loss: 0.1297	LR: 0.000800
Training Epoch: 35 [18176/46200]	Loss: 0.2040	LR: 0.000800
Training Epoch: 35 [18432/46200]	Loss: 0.0784	LR: 0.000800
Training Epoch: 35 [18688/46200]	Loss: 0.1310	LR: 0.000800
Training Epoch: 35 [18944/46200]	Loss: 0.0990	LR: 0.000800
Training Epoch: 35 [19200/46200]	Loss: 0.1128	LR: 0.000800
Training Epoch: 35 [19456/46200]	Loss: 0.1029	LR: 0.000800
Training Epoch: 35 [19712/46200]	Loss: 0.0989	LR: 0.000800
Training Epoch: 35 [19968/46200]	Loss: 0.1158	LR: 0.000800
Training Epoch: 35 [20224/46200]	Loss: 0.1176	LR: 0.000800
Training Epoch: 35 [20480/46200]	Loss: 0.1365	LR: 0.000800
Training Epoch: 35 [20736/46200]	Loss: 0.1543	LR: 0.000800
Training Epoch: 35 [20992/46200]	Loss: 0.1062	LR: 0.000800
Training Epoch: 35 [21248/46200]	Loss: 0.1023	LR: 0.000800
Training Epoch: 35 [21504/46200]	Loss: 0.1578	LR: 0.000800
Training Epoch: 35 [21760/46200]	Loss: 0.1818	LR: 0.000800
Training Epoch: 35 [22016/46200]	Loss: 0.1595	LR: 0.000800
Training Epoch: 35 [22272/46200]	Loss: 0.1125	LR: 0.000800
Training Epoch: 35 [22528/46200]	Loss: 0.0980	LR: 0.000800
Training Epoch: 35 [22784/46200]	Loss: 0.1261	LR: 0.000800
Training Epoch: 35 [23040/46200]	Loss: 0.1264	LR: 0.000800
Training Epoch: 35 [23296/46200]	Loss: 0.0871	LR: 0.000800
Training Epoch: 35 [23552/46200]	Loss: 0.1464	LR: 0.000800
Training Epoch: 35 [23808/46200]	Loss: 0.1220	LR: 0.000800
Training Epoch: 35 [24064/46200]	Loss: 0.1866	LR: 0.000800
Training Epoch: 35 [24320/46200]	Loss: 0.1063	LR: 0.000800
Training Epoch: 35 [24576/46200]	Loss: 0.1303	LR: 0.000800
Training Epoch: 35 [24832/46200]	Loss: 0.1336	LR: 0.000800
Training Epoch: 35 [25088/46200]	Loss: 0.0940	LR: 0.000800
Training Epoch: 35 [25344/46200]	Loss: 0.1095	LR: 0.000800
Training Epoch: 35 [25600/46200]	Loss: 0.0901	LR: 0.000800
Training Epoch: 35 [25856/46200]	Loss: 0.1082	LR: 0.000800
Training Epoch: 35 [26112/46200]	Loss: 0.1050	LR: 0.000800
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Training Epoch: 35 [40448/46200]	Loss: 0.1037	LR: 0.000800
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Training Epoch: 35 [41216/46200]	Loss: 0.1521	LR: 0.000800
Training Epoch: 35 [41472/46200]	Loss: 0.1168	LR: 0.000800
Training Epoch: 35 [41728/46200]	Loss: 0.1399	LR: 0.000800
Training Epoch: 35 [41984/46200]	Loss: 0.1185	LR: 0.000800
Training Epoch: 35 [42240/46200]	Loss: 0.1237	LR: 0.000800
Training Epoch: 35 [42496/46200]	Loss: 0.1031	LR: 0.000800
Training Epoch: 35 [42752/46200]	Loss: 0.1487	LR: 0.000800
Training Epoch: 35 [43008/46200]	Loss: 0.1376	LR: 0.000800
Training Epoch: 35 [43264/46200]	Loss: 0.0893	LR: 0.000800
Training Epoch: 35 [43520/46200]	Loss: 0.0656	LR: 0.000800
Training Epoch: 35 [43776/46200]	Loss: 0.1400	LR: 0.000800
Training Epoch: 35 [44032/46200]	Loss: 0.1124	LR: 0.000800
Training Epoch: 35 [44288/46200]	Loss: 0.1785	LR: 0.000800
Training Epoch: 35 [44544/46200]	Loss: 0.1546	LR: 0.000800
Training Epoch: 35 [44800/46200]	Loss: 0.1643	LR: 0.000800
Training Epoch: 35 [45056/46200]	Loss: 0.1071	LR: 0.000800
Training Epoch: 35 [45312/46200]	Loss: 0.1028	LR: 0.000800
Training Epoch: 35 [45568/46200]	Loss: 0.1392	LR: 0.000800
Training Epoch: 35 [45824/46200]	Loss: 0.1483	LR: 0.000800
Training Epoch: 35 [46080/46200]	Loss: 0.1470	LR: 0.000800
Training Epoch: 35 [46200/46200]	Loss: 0.1496	LR: 0.000800
Epoch 35 - Average Train Loss: 0.1253, Train Accuracy: 0.9634
Epoch 35 training time consumed: 27.97s
Evaluating Network.....
Test set: Epoch: 35, Average loss: 0.0028, Accuracy: 0.8034, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_05h_17m_13s/ResNet18-Cifar20-seed10-ret25-35-best.pth
Training Epoch: 36 [256/46200]	Loss: 0.1005	LR: 0.000800
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Training Epoch: 36 [768/46200]	Loss: 0.1016	LR: 0.000800
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Training Epoch: 36 [1536/46200]	Loss: 0.1011	LR: 0.000800
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Training Epoch: 36 [27904/46200]	Loss: 0.1156	LR: 0.000800
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Training Epoch: 36 [30720/46200]	Loss: 0.0952	LR: 0.000800
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Training Epoch: 36 [40192/46200]	Loss: 0.1173	LR: 0.000800
Training Epoch: 36 [40448/46200]	Loss: 0.1739	LR: 0.000800
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Training Epoch: 36 [42240/46200]	Loss: 0.1013	LR: 0.000800
Training Epoch: 36 [42496/46200]	Loss: 0.1356	LR: 0.000800
Training Epoch: 36 [42752/46200]	Loss: 0.1544	LR: 0.000800
Training Epoch: 36 [43008/46200]	Loss: 0.1184	LR: 0.000800
Training Epoch: 36 [43264/46200]	Loss: 0.0899	LR: 0.000800
Training Epoch: 36 [43520/46200]	Loss: 0.1294	LR: 0.000800
Training Epoch: 36 [43776/46200]	Loss: 0.1217	LR: 0.000800
Training Epoch: 36 [44032/46200]	Loss: 0.1181	LR: 0.000800
Training Epoch: 36 [44288/46200]	Loss: 0.1291	LR: 0.000800
Training Epoch: 36 [44544/46200]	Loss: 0.1155	LR: 0.000800
Training Epoch: 36 [44800/46200]	Loss: 0.1049	LR: 0.000800
Training Epoch: 36 [45056/46200]	Loss: 0.1346	LR: 0.000800
Training Epoch: 36 [45312/46200]	Loss: 0.1024	LR: 0.000800
Training Epoch: 36 [45568/46200]	Loss: 0.1079	LR: 0.000800
Training Epoch: 36 [45824/46200]	Loss: 0.1039	LR: 0.000800
Training Epoch: 36 [46080/46200]	Loss: 0.1329	LR: 0.000800
Training Epoch: 36 [46200/46200]	Loss: 0.1967	LR: 0.000800
Epoch 36 - Average Train Loss: 0.1154, Train Accuracy: 0.9662
Epoch 36 training time consumed: 27.77s
Evaluating Network.....
Test set: Epoch: 36, Average loss: 0.0028, Accuracy: 0.8027, Time consumed:0.90s
Training Epoch: 37 [256/46200]	Loss: 0.0891	LR: 0.000800
Training Epoch: 37 [512/46200]	Loss: 0.0847	LR: 0.000800
Training Epoch: 37 [768/46200]	Loss: 0.1428	LR: 0.000800
Training Epoch: 37 [1024/46200]	Loss: 0.0933	LR: 0.000800
Training Epoch: 37 [1280/46200]	Loss: 0.1126	LR: 0.000800
Training Epoch: 37 [1536/46200]	Loss: 0.0809	LR: 0.000800
Training Epoch: 37 [1792/46200]	Loss: 0.1152	LR: 0.000800
Training Epoch: 37 [2048/46200]	Loss: 0.1051	LR: 0.000800
Training Epoch: 37 [2304/46200]	Loss: 0.0832	LR: 0.000800
Training Epoch: 37 [2560/46200]	Loss: 0.1090	LR: 0.000800
Training Epoch: 37 [2816/46200]	Loss: 0.0841	LR: 0.000800
Training Epoch: 37 [3072/46200]	Loss: 0.1498	LR: 0.000800
Training Epoch: 37 [3328/46200]	Loss: 0.0586	LR: 0.000800
Training Epoch: 37 [3584/46200]	Loss: 0.1210	LR: 0.000800
Training Epoch: 37 [3840/46200]	Loss: 0.1156	LR: 0.000800
Training Epoch: 37 [4096/46200]	Loss: 0.0884	LR: 0.000800
Training Epoch: 37 [4352/46200]	Loss: 0.0872	LR: 0.000800
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Training Epoch: 37 [5632/46200]	Loss: 0.0988	LR: 0.000800
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Training Epoch: 37 [43008/46200]	Loss: 0.1362	LR: 0.000800
Training Epoch: 37 [43264/46200]	Loss: 0.1126	LR: 0.000800
Training Epoch: 37 [43520/46200]	Loss: 0.1036	LR: 0.000800
Training Epoch: 37 [43776/46200]	Loss: 0.0881	LR: 0.000800
Training Epoch: 37 [44032/46200]	Loss: 0.1260	LR: 0.000800
Training Epoch: 37 [44288/46200]	Loss: 0.0877	LR: 0.000800
Training Epoch: 37 [44544/46200]	Loss: 0.1195	LR: 0.000800
Training Epoch: 37 [44800/46200]	Loss: 0.0796	LR: 0.000800
Training Epoch: 37 [45056/46200]	Loss: 0.0962	LR: 0.000800
Training Epoch: 37 [45312/46200]	Loss: 0.0943	LR: 0.000800
Training Epoch: 37 [45568/46200]	Loss: 0.0764	LR: 0.000800
Training Epoch: 37 [45824/46200]	Loss: 0.1380	LR: 0.000800
Training Epoch: 37 [46080/46200]	Loss: 0.1179	LR: 0.000800
Training Epoch: 37 [46200/46200]	Loss: 0.1502	LR: 0.000800
Epoch 37 - Average Train Loss: 0.1124, Train Accuracy: 0.9680
Epoch 37 training time consumed: 28.12s
Evaluating Network.....
Test set: Epoch: 37, Average loss: 0.0028, Accuracy: 0.8042, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_05h_17m_13s/ResNet18-Cifar20-seed10-ret25-37-best.pth
Training Epoch: 38 [256/46200]	Loss: 0.0848	LR: 0.000800
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Training Epoch: 38 [1536/46200]	Loss: 0.0851	LR: 0.000800
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Training Epoch: 38 [32512/46200]	Loss: 0.1272	LR: 0.000800
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Training Epoch: 38 [37376/46200]	Loss: 0.1297	LR: 0.000800
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Training Epoch: 38 [37888/46200]	Loss: 0.1181	LR: 0.000800
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Training Epoch: 38 [39424/46200]	Loss: 0.1197	LR: 0.000800
Training Epoch: 38 [39680/46200]	Loss: 0.1325	LR: 0.000800
Training Epoch: 38 [39936/46200]	Loss: 0.1068	LR: 0.000800
Training Epoch: 38 [40192/46200]	Loss: 0.1361	LR: 0.000800
Training Epoch: 38 [40448/46200]	Loss: 0.1276	LR: 0.000800
Training Epoch: 38 [40704/46200]	Loss: 0.1405	LR: 0.000800
Training Epoch: 38 [40960/46200]	Loss: 0.1188	LR: 0.000800
Training Epoch: 38 [41216/46200]	Loss: 0.0969	LR: 0.000800
Training Epoch: 38 [41472/46200]	Loss: 0.1083	LR: 0.000800
Training Epoch: 38 [41728/46200]	Loss: 0.1110	LR: 0.000800
Training Epoch: 38 [41984/46200]	Loss: 0.1302	LR: 0.000800
Training Epoch: 38 [42240/46200]	Loss: 0.1374	LR: 0.000800
Training Epoch: 38 [42496/46200]	Loss: 0.1160	LR: 0.000800
Training Epoch: 38 [42752/46200]	Loss: 0.0906	LR: 0.000800
Training Epoch: 38 [43008/46200]	Loss: 0.1553	LR: 0.000800
Training Epoch: 38 [43264/46200]	Loss: 0.1190	LR: 0.000800
Training Epoch: 38 [43520/46200]	Loss: 0.1052	LR: 0.000800
Training Epoch: 38 [43776/46200]	Loss: 0.1210	LR: 0.000800
Training Epoch: 38 [44032/46200]	Loss: 0.1581	LR: 0.000800
Training Epoch: 38 [44288/46200]	Loss: 0.1043	LR: 0.000800
Training Epoch: 38 [44544/46200]	Loss: 0.1047	LR: 0.000800
Training Epoch: 38 [44800/46200]	Loss: 0.1238	LR: 0.000800
Training Epoch: 38 [45056/46200]	Loss: 0.0995	LR: 0.000800
Training Epoch: 38 [45312/46200]	Loss: 0.1592	LR: 0.000800
Training Epoch: 38 [45568/46200]	Loss: 0.1325	LR: 0.000800
Training Epoch: 38 [45824/46200]	Loss: 0.1293	LR: 0.000800
Training Epoch: 38 [46080/46200]	Loss: 0.1065	LR: 0.000800
Training Epoch: 38 [46200/46200]	Loss: 0.1002	LR: 0.000800
Epoch 38 - Average Train Loss: 0.1112, Train Accuracy: 0.9681
Epoch 38 training time consumed: 27.79s
Evaluating Network.....
Test set: Epoch: 38, Average loss: 0.0028, Accuracy: 0.8050, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_05h_17m_13s/ResNet18-Cifar20-seed10-ret25-38-best.pth
Training Epoch: 39 [256/46200]	Loss: 0.1236	LR: 0.000800
Training Epoch: 39 [512/46200]	Loss: 0.1370	LR: 0.000800
Training Epoch: 39 [768/46200]	Loss: 0.1204	LR: 0.000800
Training Epoch: 39 [1024/46200]	Loss: 0.1321	LR: 0.000800
Training Epoch: 39 [1280/46200]	Loss: 0.1088	LR: 0.000800
Training Epoch: 39 [1536/46200]	Loss: 0.0971	LR: 0.000800
Training Epoch: 39 [1792/46200]	Loss: 0.0963	LR: 0.000800
Training Epoch: 39 [2048/46200]	Loss: 0.0834	LR: 0.000800
Training Epoch: 39 [2304/46200]	Loss: 0.1013	LR: 0.000800
Training Epoch: 39 [2560/46200]	Loss: 0.0953	LR: 0.000800
Training Epoch: 39 [2816/46200]	Loss: 0.1173	LR: 0.000800
Training Epoch: 39 [3072/46200]	Loss: 0.1184	LR: 0.000800
Training Epoch: 39 [3328/46200]	Loss: 0.0774	LR: 0.000800
Training Epoch: 39 [3584/46200]	Loss: 0.1181	LR: 0.000800
Training Epoch: 39 [3840/46200]	Loss: 0.1351	LR: 0.000800
Training Epoch: 39 [4096/46200]	Loss: 0.1053	LR: 0.000800
Training Epoch: 39 [4352/46200]	Loss: 0.0910	LR: 0.000800
Training Epoch: 39 [4608/46200]	Loss: 0.1320	LR: 0.000800
Training Epoch: 39 [4864/46200]	Loss: 0.1062	LR: 0.000800
Training Epoch: 39 [5120/46200]	Loss: 0.1245	LR: 0.000800
Training Epoch: 39 [5376/46200]	Loss: 0.0985	LR: 0.000800
Training Epoch: 39 [5632/46200]	Loss: 0.1326	LR: 0.000800
Training Epoch: 39 [5888/46200]	Loss: 0.1239	LR: 0.000800
Training Epoch: 39 [6144/46200]	Loss: 0.1022	LR: 0.000800
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Training Epoch: 39 [6656/46200]	Loss: 0.1211	LR: 0.000800
Training Epoch: 39 [6912/46200]	Loss: 0.1142	LR: 0.000800
Training Epoch: 39 [7168/46200]	Loss: 0.0863	LR: 0.000800
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Training Epoch: 39 [7936/46200]	Loss: 0.1394	LR: 0.000800
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Training Epoch: 39 [8448/46200]	Loss: 0.0945	LR: 0.000800
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Training Epoch: 39 [8960/46200]	Loss: 0.1335	LR: 0.000800
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Training Epoch: 39 [9472/46200]	Loss: 0.1507	LR: 0.000800
Training Epoch: 39 [9728/46200]	Loss: 0.0692	LR: 0.000800
Training Epoch: 39 [9984/46200]	Loss: 0.1090	LR: 0.000800
Training Epoch: 39 [10240/46200]	Loss: 0.1365	LR: 0.000800
Training Epoch: 39 [10496/46200]	Loss: 0.0907	LR: 0.000800
Training Epoch: 39 [10752/46200]	Loss: 0.1240	LR: 0.000800
Training Epoch: 39 [11008/46200]	Loss: 0.0832	LR: 0.000800
Training Epoch: 39 [11264/46200]	Loss: 0.1294	LR: 0.000800
Training Epoch: 39 [11520/46200]	Loss: 0.1176	LR: 0.000800
Training Epoch: 39 [11776/46200]	Loss: 0.1104	LR: 0.000800
Training Epoch: 39 [12032/46200]	Loss: 0.0993	LR: 0.000800
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Training Epoch: 39 [33792/46200]	Loss: 0.1261	LR: 0.000800
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Training Epoch: 39 [35584/46200]	Loss: 0.1108	LR: 0.000800
Training Epoch: 39 [35840/46200]	Loss: 0.0943	LR: 0.000800
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Training Epoch: 39 [36352/46200]	Loss: 0.1084	LR: 0.000800
Training Epoch: 39 [36608/46200]	Loss: 0.0844	LR: 0.000800
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Training Epoch: 39 [37120/46200]	Loss: 0.0904	LR: 0.000800
Training Epoch: 39 [37376/46200]	Loss: 0.1203	LR: 0.000800
Training Epoch: 39 [37632/46200]	Loss: 0.1213	LR: 0.000800
Training Epoch: 39 [37888/46200]	Loss: 0.1154	LR: 0.000800
Training Epoch: 39 [38144/46200]	Loss: 0.1242	LR: 0.000800
Training Epoch: 39 [38400/46200]	Loss: 0.0953	LR: 0.000800
Training Epoch: 39 [38656/46200]	Loss: 0.1212	LR: 0.000800
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Training Epoch: 39 [39168/46200]	Loss: 0.0847	LR: 0.000800
Training Epoch: 39 [39424/46200]	Loss: 0.0904	LR: 0.000800
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Training Epoch: 39 [39936/46200]	Loss: 0.1786	LR: 0.000800
Training Epoch: 39 [40192/46200]	Loss: 0.0835	LR: 0.000800
Training Epoch: 39 [40448/46200]	Loss: 0.1195	LR: 0.000800
Training Epoch: 39 [40704/46200]	Loss: 0.0931	LR: 0.000800
Training Epoch: 39 [40960/46200]	Loss: 0.1319	LR: 0.000800
Training Epoch: 39 [41216/46200]	Loss: 0.1097	LR: 0.000800
Training Epoch: 39 [41472/46200]	Loss: 0.0796	LR: 0.000800
Training Epoch: 39 [41728/46200]	Loss: 0.0635	LR: 0.000800
Training Epoch: 39 [41984/46200]	Loss: 0.0943	LR: 0.000800
Training Epoch: 39 [42240/46200]	Loss: 0.0960	LR: 0.000800
Training Epoch: 39 [42496/46200]	Loss: 0.1215	LR: 0.000800
Training Epoch: 39 [42752/46200]	Loss: 0.1319	LR: 0.000800
Training Epoch: 39 [43008/46200]	Loss: 0.1307	LR: 0.000800
Training Epoch: 39 [43264/46200]	Loss: 0.0852	LR: 0.000800
Training Epoch: 39 [43520/46200]	Loss: 0.0916	LR: 0.000800
Training Epoch: 39 [43776/46200]	Loss: 0.1067	LR: 0.000800
Training Epoch: 39 [44032/46200]	Loss: 0.1075	LR: 0.000800
Training Epoch: 39 [44288/46200]	Loss: 0.0777	LR: 0.000800
Training Epoch: 39 [44544/46200]	Loss: 0.1490	LR: 0.000800
Training Epoch: 39 [44800/46200]	Loss: 0.1283	LR: 0.000800
Training Epoch: 39 [45056/46200]	Loss: 0.1498	LR: 0.000800
Training Epoch: 39 [45312/46200]	Loss: 0.1204	LR: 0.000800
Training Epoch: 39 [45568/46200]	Loss: 0.0877	LR: 0.000800
Training Epoch: 39 [45824/46200]	Loss: 0.1416	LR: 0.000800
Training Epoch: 39 [46080/46200]	Loss: 0.0818	LR: 0.000800
Training Epoch: 39 [46200/46200]	Loss: 0.0683	LR: 0.000800
Epoch 39 - Average Train Loss: 0.1099, Train Accuracy: 0.9687
Epoch 39 training time consumed: 27.73s
Evaluating Network.....
Test set: Epoch: 39, Average loss: 0.0028, Accuracy: 0.8054, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_05h_17m_13s/ResNet18-Cifar20-seed10-ret25-39-best.pth
Training Epoch: 40 [256/46200]	Loss: 0.1118	LR: 0.000800
Training Epoch: 40 [512/46200]	Loss: 0.0963	LR: 0.000800
Training Epoch: 40 [768/46200]	Loss: 0.1045	LR: 0.000800
Training Epoch: 40 [1024/46200]	Loss: 0.1102	LR: 0.000800
Training Epoch: 40 [1280/46200]	Loss: 0.0977	LR: 0.000800
Training Epoch: 40 [1536/46200]	Loss: 0.1113	LR: 0.000800
Training Epoch: 40 [1792/46200]	Loss: 0.0823	LR: 0.000800
Training Epoch: 40 [2048/46200]	Loss: 0.1221	LR: 0.000800
Training Epoch: 40 [2304/46200]	Loss: 0.0755	LR: 0.000800
Training Epoch: 40 [2560/46200]	Loss: 0.0825	LR: 0.000800
Training Epoch: 40 [2816/46200]	Loss: 0.1036	LR: 0.000800
Training Epoch: 40 [3072/46200]	Loss: 0.0999	LR: 0.000800
Training Epoch: 40 [3328/46200]	Loss: 0.1132	LR: 0.000800
Training Epoch: 40 [3584/46200]	Loss: 0.0940	LR: 0.000800
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Training Epoch: 40 [4352/46200]	Loss: 0.1026	LR: 0.000800
Training Epoch: 40 [4608/46200]	Loss: 0.1254	LR: 0.000800
Training Epoch: 40 [4864/46200]	Loss: 0.0834	LR: 0.000800
Training Epoch: 40 [5120/46200]	Loss: 0.0959	LR: 0.000800
Training Epoch: 40 [5376/46200]	Loss: 0.0928	LR: 0.000800
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Training Epoch: 40 [8192/46200]	Loss: 0.1207	LR: 0.000800
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Training Epoch: 40 [10240/46200]	Loss: 0.1053	LR: 0.000800
Training Epoch: 40 [10496/46200]	Loss: 0.0866	LR: 0.000800
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Training Epoch: 40 [11776/46200]	Loss: 0.0819	LR: 0.000800
Training Epoch: 40 [12032/46200]	Loss: 0.1332	LR: 0.000800
Training Epoch: 40 [12288/46200]	Loss: 0.1268	LR: 0.000800
Training Epoch: 40 [12544/46200]	Loss: 0.0932	LR: 0.000800
Training Epoch: 40 [12800/46200]	Loss: 0.1018	LR: 0.000800
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Training Epoch: 40 [13568/46200]	Loss: 0.0903	LR: 0.000800
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Training Epoch: 40 [14336/46200]	Loss: 0.1188	LR: 0.000800
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Training Epoch: 40 [15616/46200]	Loss: 0.0846	LR: 0.000800
Training Epoch: 40 [15872/46200]	Loss: 0.1017	LR: 0.000800
Training Epoch: 40 [16128/46200]	Loss: 0.1329	LR: 0.000800
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Training Epoch: 40 [16896/46200]	Loss: 0.1110	LR: 0.000800
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Training Epoch: 40 [17920/46200]	Loss: 0.0943	LR: 0.000800
Training Epoch: 40 [18176/46200]	Loss: 0.1189	LR: 0.000800
Training Epoch: 40 [18432/46200]	Loss: 0.0815	LR: 0.000800
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Training Epoch: 40 [18944/46200]	Loss: 0.0968	LR: 0.000800
Training Epoch: 40 [19200/46200]	Loss: 0.0834	LR: 0.000800
Training Epoch: 40 [19456/46200]	Loss: 0.0707	LR: 0.000800
Training Epoch: 40 [19712/46200]	Loss: 0.0943	LR: 0.000800
Training Epoch: 40 [19968/46200]	Loss: 0.0902	LR: 0.000800
Training Epoch: 40 [20224/46200]	Loss: 0.1159	LR: 0.000800
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Training Epoch: 40 [20736/46200]	Loss: 0.0815	LR: 0.000800
Training Epoch: 40 [20992/46200]	Loss: 0.1162	LR: 0.000800
Training Epoch: 40 [21248/46200]	Loss: 0.1325	LR: 0.000800
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Training Epoch: 40 [21760/46200]	Loss: 0.1036	LR: 0.000800
Training Epoch: 40 [22016/46200]	Loss: 0.1146	LR: 0.000800
Training Epoch: 40 [22272/46200]	Loss: 0.0843	LR: 0.000800
Training Epoch: 40 [22528/46200]	Loss: 0.0890	LR: 0.000800
Training Epoch: 40 [22784/46200]	Loss: 0.0682	LR: 0.000800
Training Epoch: 40 [23040/46200]	Loss: 0.0881	LR: 0.000800
Training Epoch: 40 [23296/46200]	Loss: 0.1211	LR: 0.000800
Training Epoch: 40 [23552/46200]	Loss: 0.0958	LR: 0.000800
Training Epoch: 40 [23808/46200]	Loss: 0.0890	LR: 0.000800
Training Epoch: 40 [24064/46200]	Loss: 0.1717	LR: 0.000800
Training Epoch: 40 [24320/46200]	Loss: 0.0901	LR: 0.000800
Training Epoch: 40 [24576/46200]	Loss: 0.0718	LR: 0.000800
Training Epoch: 40 [24832/46200]	Loss: 0.0888	LR: 0.000800
Training Epoch: 40 [25088/46200]	Loss: 0.0712	LR: 0.000800
Training Epoch: 40 [25344/46200]	Loss: 0.1173	LR: 0.000800
Training Epoch: 40 [25600/46200]	Loss: 0.1172	LR: 0.000800
Training Epoch: 40 [25856/46200]	Loss: 0.1367	LR: 0.000800
Training Epoch: 40 [26112/46200]	Loss: 0.0990	LR: 0.000800
Training Epoch: 40 [26368/46200]	Loss: 0.0796	LR: 0.000800
Training Epoch: 40 [26624/46200]	Loss: 0.0661	LR: 0.000800
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Training Epoch: 40 [27136/46200]	Loss: 0.1419	LR: 0.000800
Training Epoch: 40 [27392/46200]	Loss: 0.0898	LR: 0.000800
Training Epoch: 40 [27648/46200]	Loss: 0.0816	LR: 0.000800
Training Epoch: 40 [27904/46200]	Loss: 0.1224	LR: 0.000800
Training Epoch: 40 [28160/46200]	Loss: 0.1134	LR: 0.000800
Training Epoch: 40 [28416/46200]	Loss: 0.1208	LR: 0.000800
Training Epoch: 40 [28672/46200]	Loss: 0.0851	LR: 0.000800
Training Epoch: 40 [28928/46200]	Loss: 0.1079	LR: 0.000800
Training Epoch: 40 [29184/46200]	Loss: 0.1328	LR: 0.000800
Training Epoch: 40 [29440/46200]	Loss: 0.0912	LR: 0.000800
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Training Epoch: 40 [29952/46200]	Loss: 0.0892	LR: 0.000800
Training Epoch: 40 [30208/46200]	Loss: 0.1091	LR: 0.000800
Training Epoch: 40 [30464/46200]	Loss: 0.0941	LR: 0.000800
Training Epoch: 40 [30720/46200]	Loss: 0.1318	LR: 0.000800
Training Epoch: 40 [30976/46200]	Loss: 0.1547	LR: 0.000800
Training Epoch: 40 [31232/46200]	Loss: 0.0792	LR: 0.000800
Training Epoch: 40 [31488/46200]	Loss: 0.1277	LR: 0.000800
Training Epoch: 40 [31744/46200]	Loss: 0.1200	LR: 0.000800
Training Epoch: 40 [32000/46200]	Loss: 0.0973	LR: 0.000800
Training Epoch: 40 [32256/46200]	Loss: 0.0854	LR: 0.000800
Training Epoch: 40 [32512/46200]	Loss: 0.1010	LR: 0.000800
Training Epoch: 40 [32768/46200]	Loss: 0.1231	LR: 0.000800
Training Epoch: 40 [33024/46200]	Loss: 0.1124	LR: 0.000800
Training Epoch: 40 [33280/46200]	Loss: 0.1327	LR: 0.000800
Training Epoch: 40 [33536/46200]	Loss: 0.0993	LR: 0.000800
Training Epoch: 40 [33792/46200]	Loss: 0.0998	LR: 0.000800
Training Epoch: 40 [34048/46200]	Loss: 0.0928	LR: 0.000800
Training Epoch: 40 [34304/46200]	Loss: 0.1129	LR: 0.000800
Training Epoch: 40 [34560/46200]	Loss: 0.1109	LR: 0.000800
Training Epoch: 40 [34816/46200]	Loss: 0.0909	LR: 0.000800
Training Epoch: 40 [35072/46200]	Loss: 0.0896	LR: 0.000800
Training Epoch: 40 [35328/46200]	Loss: 0.1480	LR: 0.000800
Training Epoch: 40 [35584/46200]	Loss: 0.1103	LR: 0.000800
Training Epoch: 40 [35840/46200]	Loss: 0.0974	LR: 0.000800
Training Epoch: 40 [36096/46200]	Loss: 0.0974	LR: 0.000800
Training Epoch: 40 [36352/46200]	Loss: 0.0876	LR: 0.000800
Training Epoch: 40 [36608/46200]	Loss: 0.1199	LR: 0.000800
Training Epoch: 40 [36864/46200]	Loss: 0.0967	LR: 0.000800
Training Epoch: 40 [37120/46200]	Loss: 0.1260	LR: 0.000800
Training Epoch: 40 [37376/46200]	Loss: 0.0951	LR: 0.000800
Training Epoch: 40 [37632/46200]	Loss: 0.1490	LR: 0.000800
Training Epoch: 40 [37888/46200]	Loss: 0.1365	LR: 0.000800
Training Epoch: 40 [38144/46200]	Loss: 0.0843	LR: 0.000800
Training Epoch: 40 [38400/46200]	Loss: 0.0880	LR: 0.000800
Training Epoch: 40 [38656/46200]	Loss: 0.1001	LR: 0.000800
Training Epoch: 40 [38912/46200]	Loss: 0.0990	LR: 0.000800
Training Epoch: 40 [39168/46200]	Loss: 0.1115	LR: 0.000800
Training Epoch: 40 [39424/46200]	Loss: 0.0789	LR: 0.000800
Training Epoch: 40 [39680/46200]	Loss: 0.0875	LR: 0.000800
Training Epoch: 40 [39936/46200]	Loss: 0.1486	LR: 0.000800
Training Epoch: 40 [40192/46200]	Loss: 0.1029	LR: 0.000800
Training Epoch: 40 [40448/46200]	Loss: 0.1271	LR: 0.000800
Training Epoch: 40 [40704/46200]	Loss: 0.1032	LR: 0.000800
Training Epoch: 40 [40960/46200]	Loss: 0.1515	LR: 0.000800
Training Epoch: 40 [41216/46200]	Loss: 0.1146	LR: 0.000800
Training Epoch: 40 [41472/46200]	Loss: 0.0849	LR: 0.000800
Training Epoch: 40 [41728/46200]	Loss: 0.1206	LR: 0.000800
Training Epoch: 40 [41984/46200]	Loss: 0.1034	LR: 0.000800
Training Epoch: 40 [42240/46200]	Loss: 0.0974	LR: 0.000800
Training Epoch: 40 [42496/46200]	Loss: 0.1025	LR: 0.000800
Training Epoch: 40 [42752/46200]	Loss: 0.1222	LR: 0.000800
Training Epoch: 40 [43008/46200]	Loss: 0.0972	LR: 0.000800
Training Epoch: 40 [43264/46200]	Loss: 0.1157	LR: 0.000800
Training Epoch: 40 [43520/46200]	Loss: 0.1221	LR: 0.000800
Training Epoch: 40 [43776/46200]	Loss: 0.0850	LR: 0.000800
Training Epoch: 40 [44032/46200]	Loss: 0.1416	LR: 0.000800
Training Epoch: 40 [44288/46200]	Loss: 0.0982	LR: 0.000800
Training Epoch: 40 [44544/46200]	Loss: 0.0744	LR: 0.000800
Training Epoch: 40 [44800/46200]	Loss: 0.1455	LR: 0.000800
Training Epoch: 40 [45056/46200]	Loss: 0.0946	LR: 0.000800
Training Epoch: 40 [45312/46200]	Loss: 0.1291	LR: 0.000800
Training Epoch: 40 [45568/46200]	Loss: 0.0919	LR: 0.000800
Training Epoch: 40 [45824/46200]	Loss: 0.0812	LR: 0.000800
Training Epoch: 40 [46080/46200]	Loss: 0.1033	LR: 0.000800
Training Epoch: 40 [46200/46200]	Loss: 0.0873	LR: 0.000800
Epoch 40 - Average Train Loss: 0.1045, Train Accuracy: 0.9706
Epoch 40 training time consumed: 27.74s
Evaluating Network.....
Test set: Epoch: 40, Average loss: 0.0029, Accuracy: 0.8046, Time consumed:0.99s
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: 80.625
Retain Accuracy: 97.46920013427734
Zero-Retain Forget (ZRF): 0.9020925760269165
Membership Inference Attack (MIA): 0.6018421052631578
Forget vs Retain Membership Inference Attack (MIA): 0.5894736842105263
Forget vs Test Membership Inference Attack (MIA): 0.5322368421052631
Test vs Retain Membership Inference Attack (MIA): 0.57875
Train vs Test Membership Inference Attack (MIA): 0.60125
Forget Set Accuracy (Df): 78.58988952636719
Method Execution Time: 2104.46 seconds
