
📌 Retain class distribution for seed 9:
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 9:
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: 3.0544	LR: 0.000000
Training Epoch: 1 [512/46200]	Loss: 3.0213	LR: 0.000552
Training Epoch: 1 [768/46200]	Loss: 3.0250	LR: 0.001105
Training Epoch: 1 [1024/46200]	Loss: 3.0146	LR: 0.001657
Training Epoch: 1 [1280/46200]	Loss: 3.0290	LR: 0.002210
Training Epoch: 1 [1536/46200]	Loss: 2.9880	LR: 0.002762
Training Epoch: 1 [1792/46200]	Loss: 2.9707	LR: 0.003315
Training Epoch: 1 [2048/46200]	Loss: 2.9327	LR: 0.003867
Training Epoch: 1 [2304/46200]	Loss: 2.9149	LR: 0.004420
Training Epoch: 1 [2560/46200]	Loss: 2.8908	LR: 0.004972
Training Epoch: 1 [2816/46200]	Loss: 2.8776	LR: 0.005525
Training Epoch: 1 [3072/46200]	Loss: 2.8974	LR: 0.006077
Training Epoch: 1 [3328/46200]	Loss: 2.8023	LR: 0.006630
Training Epoch: 1 [3584/46200]	Loss: 2.7559	LR: 0.007182
Training Epoch: 1 [3840/46200]	Loss: 2.8068	LR: 0.007735
Training Epoch: 1 [4096/46200]	Loss: 2.8881	LR: 0.008287
Training Epoch: 1 [4352/46200]	Loss: 2.6723	LR: 0.008840
Training Epoch: 1 [4608/46200]	Loss: 2.7292	LR: 0.009392
Training Epoch: 1 [4864/46200]	Loss: 2.7220	LR: 0.009945
Training Epoch: 1 [5120/46200]	Loss: 2.6850	LR: 0.010497
Training Epoch: 1 [5376/46200]	Loss: 2.7119	LR: 0.011050
Training Epoch: 1 [5632/46200]	Loss: 2.6456	LR: 0.011602
Training Epoch: 1 [5888/46200]	Loss: 2.6720	LR: 0.012155
Training Epoch: 1 [6144/46200]	Loss: 2.5751	LR: 0.012707
Training Epoch: 1 [6400/46200]	Loss: 2.6208	LR: 0.013260
Training Epoch: 1 [6656/46200]	Loss: 2.7222	LR: 0.013812
Training Epoch: 1 [6912/46200]	Loss: 2.5934	LR: 0.014365
Training Epoch: 1 [7168/46200]	Loss: 2.5461	LR: 0.014917
Training Epoch: 1 [7424/46200]	Loss: 2.5462	LR: 0.015470
Training Epoch: 1 [7680/46200]	Loss: 2.4661	LR: 0.016022
Training Epoch: 1 [7936/46200]	Loss: 2.8175	LR: 0.016575
Training Epoch: 1 [8192/46200]	Loss: 2.5414	LR: 0.017127
Training Epoch: 1 [8448/46200]	Loss: 2.5003	LR: 0.017680
Training Epoch: 1 [8704/46200]	Loss: 2.5821	LR: 0.018232
Training Epoch: 1 [8960/46200]	Loss: 2.6198	LR: 0.018785
Training Epoch: 1 [9216/46200]	Loss: 2.5592	LR: 0.019337
Training Epoch: 1 [9472/46200]	Loss: 2.5644	LR: 0.019890
Training Epoch: 1 [9728/46200]	Loss: 2.5154	LR: 0.020442
Training Epoch: 1 [9984/46200]	Loss: 2.6419	LR: 0.020994
Training Epoch: 1 [10240/46200]	Loss: 2.6798	LR: 0.021547
Training Epoch: 1 [10496/46200]	Loss: 2.5857	LR: 0.022099
Training Epoch: 1 [10752/46200]	Loss: 2.5904	LR: 0.022652
Training Epoch: 1 [11008/46200]	Loss: 2.6771	LR: 0.023204
Training Epoch: 1 [11264/46200]	Loss: 2.5851	LR: 0.023757
Training Epoch: 1 [11520/46200]	Loss: 2.6289	LR: 0.024309
Training Epoch: 1 [11776/46200]	Loss: 2.6076	LR: 0.024862
Training Epoch: 1 [12032/46200]	Loss: 2.5574	LR: 0.025414
Training Epoch: 1 [12288/46200]	Loss: 2.6379	LR: 0.025967
Training Epoch: 1 [12544/46200]	Loss: 2.7057	LR: 0.026519
Training Epoch: 1 [12800/46200]	Loss: 2.5845	LR: 0.027072
Training Epoch: 1 [13056/46200]	Loss: 2.6170	LR: 0.027624
Training Epoch: 1 [13312/46200]	Loss: 2.6294	LR: 0.028177
Training Epoch: 1 [13568/46200]	Loss: 2.7184	LR: 0.028729
Training Epoch: 1 [13824/46200]	Loss: 2.5206	LR: 0.029282
Training Epoch: 1 [14080/46200]	Loss: 2.6506	LR: 0.029834
Training Epoch: 1 [14336/46200]	Loss: 2.6090	LR: 0.030387
Training Epoch: 1 [14592/46200]	Loss: 2.6423	LR: 0.030939
Training Epoch: 1 [14848/46200]	Loss: 2.6363	LR: 0.031492
Training Epoch: 1 [15104/46200]	Loss: 2.6067	LR: 0.032044
Training Epoch: 1 [15360/46200]	Loss: 2.5324	LR: 0.032597
Training Epoch: 1 [15616/46200]	Loss: 2.4818	LR: 0.033149
Training Epoch: 1 [15872/46200]	Loss: 2.6477	LR: 0.033702
Training Epoch: 1 [16128/46200]	Loss: 2.4267	LR: 0.034254
Training Epoch: 1 [16384/46200]	Loss: 2.5526	LR: 0.034807
Training Epoch: 1 [16640/46200]	Loss: 2.3546	LR: 0.035359
Training Epoch: 1 [16896/46200]	Loss: 2.5449	LR: 0.035912
Training Epoch: 1 [17152/46200]	Loss: 2.6264	LR: 0.036464
Training Epoch: 1 [17408/46200]	Loss: 2.5370	LR: 0.037017
Training Epoch: 1 [17664/46200]	Loss: 2.5425	LR: 0.037569
Training Epoch: 1 [17920/46200]	Loss: 2.6722	LR: 0.038122
Training Epoch: 1 [18176/46200]	Loss: 2.4607	LR: 0.038674
Training Epoch: 1 [18432/46200]	Loss: 2.5855	LR: 0.039227
Training Epoch: 1 [18688/46200]	Loss: 2.4532	LR: 0.039779
Training Epoch: 1 [18944/46200]	Loss: 2.5267	LR: 0.040331
Training Epoch: 1 [19200/46200]	Loss: 2.4791	LR: 0.040884
Training Epoch: 1 [19456/46200]	Loss: 2.4783	LR: 0.041436
Training Epoch: 1 [19712/46200]	Loss: 2.4237	LR: 0.041989
Training Epoch: 1 [19968/46200]	Loss: 2.6693	LR: 0.042541
Training Epoch: 1 [20224/46200]	Loss: 2.4721	LR: 0.043094
Training Epoch: 1 [20480/46200]	Loss: 2.5637	LR: 0.043646
Training Epoch: 1 [20736/46200]	Loss: 2.4187	LR: 0.044199
Training Epoch: 1 [20992/46200]	Loss: 2.5129	LR: 0.044751
Training Epoch: 1 [21248/46200]	Loss: 2.4415	LR: 0.045304
Training Epoch: 1 [21504/46200]	Loss: 2.4552	LR: 0.045856
Training Epoch: 1 [21760/46200]	Loss: 2.5087	LR: 0.046409
Training Epoch: 1 [22016/46200]	Loss: 2.5428	LR: 0.046961
Training Epoch: 1 [22272/46200]	Loss: 2.4892	LR: 0.047514
Training Epoch: 1 [22528/46200]	Loss: 2.3711	LR: 0.048066
Training Epoch: 1 [22784/46200]	Loss: 2.4565	LR: 0.048619
Training Epoch: 1 [23040/46200]	Loss: 2.5206	LR: 0.049171
Training Epoch: 1 [23296/46200]	Loss: 2.3350	LR: 0.049724
Training Epoch: 1 [23552/46200]	Loss: 2.5596	LR: 0.050276
Training Epoch: 1 [23808/46200]	Loss: 2.5424	LR: 0.050829
Training Epoch: 1 [24064/46200]	Loss: 2.5246	LR: 0.051381
Training Epoch: 1 [24320/46200]	Loss: 2.4634	LR: 0.051934
Training Epoch: 1 [24576/46200]	Loss: 2.3140	LR: 0.052486
Training Epoch: 1 [24832/46200]	Loss: 2.5192	LR: 0.053039
Training Epoch: 1 [25088/46200]	Loss: 2.5128	LR: 0.053591
Training Epoch: 1 [25344/46200]	Loss: 2.5882	LR: 0.054144
Training Epoch: 1 [25600/46200]	Loss: 2.4683	LR: 0.054696
Training Epoch: 1 [25856/46200]	Loss: 2.5247	LR: 0.055249
Training Epoch: 1 [26112/46200]	Loss: 2.5686	LR: 0.055801
Training Epoch: 1 [26368/46200]	Loss: 2.5805	LR: 0.056354
Training Epoch: 1 [26624/46200]	Loss: 2.5220	LR: 0.056906
Training Epoch: 1 [26880/46200]	Loss: 2.5360	LR: 0.057459
Training Epoch: 1 [27136/46200]	Loss: 2.4373	LR: 0.058011
Training Epoch: 1 [27392/46200]	Loss: 2.4820	LR: 0.058564
Training Epoch: 1 [27648/46200]	Loss: 2.5202	LR: 0.059116
Training Epoch: 1 [27904/46200]	Loss: 2.5357	LR: 0.059669
Training Epoch: 1 [28160/46200]	Loss: 2.5325	LR: 0.060221
Training Epoch: 1 [28416/46200]	Loss: 2.4740	LR: 0.060773
Training Epoch: 1 [28672/46200]	Loss: 2.4255	LR: 0.061326
Training Epoch: 1 [28928/46200]	Loss: 2.5294	LR: 0.061878
Training Epoch: 1 [29184/46200]	Loss: 2.5467	LR: 0.062431
Training Epoch: 1 [29440/46200]	Loss: 2.3588	LR: 0.062983
Training Epoch: 1 [29696/46200]	Loss: 2.4833	LR: 0.063536
Training Epoch: 1 [29952/46200]	Loss: 2.4546	LR: 0.064088
Training Epoch: 1 [30208/46200]	Loss: 2.5624	LR: 0.064641
Training Epoch: 1 [30464/46200]	Loss: 2.5036	LR: 0.065193
Training Epoch: 1 [30720/46200]	Loss: 2.4555	LR: 0.065746
Training Epoch: 1 [30976/46200]	Loss: 2.5191	LR: 0.066298
Training Epoch: 1 [31232/46200]	Loss: 2.5353	LR: 0.066851
Training Epoch: 1 [31488/46200]	Loss: 2.5002	LR: 0.067403
Training Epoch: 1 [31744/46200]	Loss: 2.6272	LR: 0.067956
Training Epoch: 1 [32000/46200]	Loss: 2.4503	LR: 0.068508
Training Epoch: 1 [32256/46200]	Loss: 2.4866	LR: 0.069061
Training Epoch: 1 [32512/46200]	Loss: 2.3970	LR: 0.069613
Training Epoch: 1 [32768/46200]	Loss: 2.5607	LR: 0.070166
Training Epoch: 1 [33024/46200]	Loss: 2.4144	LR: 0.070718
Training Epoch: 1 [33280/46200]	Loss: 2.5215	LR: 0.071271
Training Epoch: 1 [33536/46200]	Loss: 2.4572	LR: 0.071823
Training Epoch: 1 [33792/46200]	Loss: 2.4668	LR: 0.072376
Training Epoch: 1 [34048/46200]	Loss: 2.5256	LR: 0.072928
Training Epoch: 1 [34304/46200]	Loss: 2.5131	LR: 0.073481
Training Epoch: 1 [34560/46200]	Loss: 2.4040	LR: 0.074033
Training Epoch: 1 [34816/46200]	Loss: 2.5121	LR: 0.074586
Training Epoch: 1 [35072/46200]	Loss: 2.4064	LR: 0.075138
Training Epoch: 1 [35328/46200]	Loss: 2.3186	LR: 0.075691
Training Epoch: 1 [35584/46200]	Loss: 2.2954	LR: 0.076243
Training Epoch: 1 [35840/46200]	Loss: 2.4483	LR: 0.076796
Training Epoch: 1 [36096/46200]	Loss: 2.3350	LR: 0.077348
Training Epoch: 1 [36352/46200]	Loss: 2.6001	LR: 0.077901
Training Epoch: 1 [36608/46200]	Loss: 2.4725	LR: 0.078453
Training Epoch: 1 [36864/46200]	Loss: 2.2062	LR: 0.079006
Training Epoch: 1 [37120/46200]	Loss: 2.3921	LR: 0.079558
Training Epoch: 1 [37376/46200]	Loss: 2.5307	LR: 0.080110
Training Epoch: 1 [37632/46200]	Loss: 2.6722	LR: 0.080663
Training Epoch: 1 [37888/46200]	Loss: 2.3925	LR: 0.081215
Training Epoch: 1 [38144/46200]	Loss: 2.3676	LR: 0.081768
Training Epoch: 1 [38400/46200]	Loss: 2.3588	LR: 0.082320
Training Epoch: 1 [38656/46200]	Loss: 2.2799	LR: 0.082873
Training Epoch: 1 [38912/46200]	Loss: 2.4113	LR: 0.083425
Training Epoch: 1 [39168/46200]	Loss: 2.4701	LR: 0.083978
Training Epoch: 1 [39424/46200]	Loss: 2.2914	LR: 0.084530
Training Epoch: 1 [39680/46200]	Loss: 2.3539	LR: 0.085083
Training Epoch: 1 [39936/46200]	Loss: 2.4169	LR: 0.085635
Training Epoch: 1 [40192/46200]	Loss: 2.3939	LR: 0.086188
Training Epoch: 1 [40448/46200]	Loss: 2.4643	LR: 0.086740
Training Epoch: 1 [40704/46200]	Loss: 2.6004	LR: 0.087293
Training Epoch: 1 [40960/46200]	Loss: 2.4737	LR: 0.087845
Training Epoch: 1 [41216/46200]	Loss: 2.5258	LR: 0.088398
Training Epoch: 1 [41472/46200]	Loss: 2.3043	LR: 0.088950
Training Epoch: 1 [41728/46200]	Loss: 2.2616	LR: 0.089503
Training Epoch: 1 [41984/46200]	Loss: 2.2653	LR: 0.090055
Training Epoch: 1 [42240/46200]	Loss: 2.4223	LR: 0.090608
Training Epoch: 1 [42496/46200]	Loss: 2.2954	LR: 0.091160
Training Epoch: 1 [42752/46200]	Loss: 2.2917	LR: 0.091713
Training Epoch: 1 [43008/46200]	Loss: 2.5894	LR: 0.092265
Training Epoch: 1 [43264/46200]	Loss: 2.3180	LR: 0.092818
Training Epoch: 1 [43520/46200]	Loss: 2.4121	LR: 0.093370
Training Epoch: 1 [43776/46200]	Loss: 2.2833	LR: 0.093923
Training Epoch: 1 [44032/46200]	Loss: 2.5260	LR: 0.094475
Training Epoch: 1 [44288/46200]	Loss: 2.4229	LR: 0.095028
Training Epoch: 1 [44544/46200]	Loss: 2.4244	LR: 0.095580
Training Epoch: 1 [44800/46200]	Loss: 2.3029	LR: 0.096133
Training Epoch: 1 [45056/46200]	Loss: 2.3692	LR: 0.096685
Training Epoch: 1 [45312/46200]	Loss: 2.4279	LR: 0.097238
Training Epoch: 1 [45568/46200]	Loss: 2.4555	LR: 0.097790
Training Epoch: 1 [45824/46200]	Loss: 2.3167	LR: 0.098343
Training Epoch: 1 [46080/46200]	Loss: 2.3585	LR: 0.098895
Training Epoch: 1 [46200/46200]	Loss: 2.4792	LR: 0.099448
Epoch 1 - Average Train Loss: 2.5421, Train Accuracy: 0.2185
Epoch 1 training time consumed: 28.87s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0103, Accuracy: 0.2402, Time consumed:1.14s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_04h_41m_48s/ResNet18-Cifar20-seed9-ret25-1-best.pth
Training Epoch: 2 [256/46200]	Loss: 2.3677	LR: 0.100000
Training Epoch: 2 [512/46200]	Loss: 2.4855	LR: 0.100000
Training Epoch: 2 [768/46200]	Loss: 2.4259	LR: 0.100000
Training Epoch: 2 [1024/46200]	Loss: 2.3538	LR: 0.100000
Training Epoch: 2 [1280/46200]	Loss: 2.4120	LR: 0.100000
Training Epoch: 2 [1536/46200]	Loss: 2.3883	LR: 0.100000
Training Epoch: 2 [1792/46200]	Loss: 2.4098	LR: 0.100000
Training Epoch: 2 [2048/46200]	Loss: 2.3998	LR: 0.100000
Training Epoch: 2 [2304/46200]	Loss: 2.2657	LR: 0.100000
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Epoch 2 - Average Train Loss: 2.1896, Train Accuracy: 0.3217
Epoch 2 training time consumed: 27.90s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0089, Accuracy: 0.3225, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_04h_41m_48s/ResNet18-Cifar20-seed9-ret25-2-best.pth
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Training Epoch: 3 [46200/46200]	Loss: 1.8234	LR: 0.100000
Epoch 3 - Average Train Loss: 1.9090, Train Accuracy: 0.4002
Epoch 3 training time consumed: 27.96s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0081, Accuracy: 0.3852, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_04h_41m_48s/ResNet18-Cifar20-seed9-ret25-3-best.pth
Training Epoch: 4 [256/46200]	Loss: 1.8310	LR: 0.100000
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Training Epoch: 4 [46200/46200]	Loss: 1.6597	LR: 0.100000
Epoch 4 - Average Train Loss: 1.7111, Train Accuracy: 0.4608
Epoch 4 training time consumed: 28.03s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0065, Accuracy: 0.4824, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_04h_41m_48s/ResNet18-Cifar20-seed9-ret25-4-best.pth
Training Epoch: 5 [256/46200]	Loss: 1.5269	LR: 0.100000
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Training Epoch: 5 [13824/46200]	Loss: 1.4324	LR: 0.100000
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Training Epoch: 5 [15360/46200]	Loss: 1.5165	LR: 0.100000
Training Epoch: 5 [15616/46200]	Loss: 1.6351	LR: 0.100000
Training Epoch: 5 [15872/46200]	Loss: 1.5781	LR: 0.100000
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Training Epoch: 5 [16384/46200]	Loss: 1.5037	LR: 0.100000
Training Epoch: 5 [16640/46200]	Loss: 1.5675	LR: 0.100000
Training Epoch: 5 [16896/46200]	Loss: 1.6384	LR: 0.100000
Training Epoch: 5 [17152/46200]	Loss: 1.6177	LR: 0.100000
Training Epoch: 5 [17408/46200]	Loss: 1.5142	LR: 0.100000
Training Epoch: 5 [17664/46200]	Loss: 1.5919	LR: 0.100000
Training Epoch: 5 [17920/46200]	Loss: 1.6125	LR: 0.100000
Training Epoch: 5 [18176/46200]	Loss: 1.6303	LR: 0.100000
Training Epoch: 5 [18432/46200]	Loss: 1.5083	LR: 0.100000
Training Epoch: 5 [18688/46200]	Loss: 1.6491	LR: 0.100000
Training Epoch: 5 [18944/46200]	Loss: 1.5502	LR: 0.100000
Training Epoch: 5 [19200/46200]	Loss: 1.3682	LR: 0.100000
Training Epoch: 5 [19456/46200]	Loss: 1.4322	LR: 0.100000
Training Epoch: 5 [19712/46200]	Loss: 1.5284	LR: 0.100000
Training Epoch: 5 [19968/46200]	Loss: 1.5600	LR: 0.100000
Training Epoch: 5 [20224/46200]	Loss: 1.4843	LR: 0.100000
Training Epoch: 5 [20480/46200]	Loss: 1.5277	LR: 0.100000
Training Epoch: 5 [20736/46200]	Loss: 1.4789	LR: 0.100000
Training Epoch: 5 [20992/46200]	Loss: 1.5253	LR: 0.100000
Training Epoch: 5 [21248/46200]	Loss: 1.6156	LR: 0.100000
Training Epoch: 5 [21504/46200]	Loss: 1.5722	LR: 0.100000
Training Epoch: 5 [21760/46200]	Loss: 1.5244	LR: 0.100000
Training Epoch: 5 [22016/46200]	Loss: 1.4607	LR: 0.100000
Training Epoch: 5 [22272/46200]	Loss: 1.5346	LR: 0.100000
Training Epoch: 5 [22528/46200]	Loss: 1.4921	LR: 0.100000
Training Epoch: 5 [22784/46200]	Loss: 1.5009	LR: 0.100000
Training Epoch: 5 [23040/46200]	Loss: 1.6474	LR: 0.100000
Training Epoch: 5 [23296/46200]	Loss: 1.5675	LR: 0.100000
Training Epoch: 5 [23552/46200]	Loss: 1.3347	LR: 0.100000
Training Epoch: 5 [23808/46200]	Loss: 1.6286	LR: 0.100000
Training Epoch: 5 [24064/46200]	Loss: 1.4922	LR: 0.100000
Training Epoch: 5 [24320/46200]	Loss: 1.4618	LR: 0.100000
Training Epoch: 5 [24576/46200]	Loss: 1.5777	LR: 0.100000
Training Epoch: 5 [24832/46200]	Loss: 1.5741	LR: 0.100000
Training Epoch: 5 [25088/46200]	Loss: 1.5408	LR: 0.100000
Training Epoch: 5 [25344/46200]	Loss: 1.5364	LR: 0.100000
Training Epoch: 5 [25600/46200]	Loss: 1.5232	LR: 0.100000
Training Epoch: 5 [25856/46200]	Loss: 1.5162	LR: 0.100000
Training Epoch: 5 [26112/46200]	Loss: 1.3431	LR: 0.100000
Training Epoch: 5 [26368/46200]	Loss: 1.4344	LR: 0.100000
Training Epoch: 5 [26624/46200]	Loss: 1.4022	LR: 0.100000
Training Epoch: 5 [26880/46200]	Loss: 1.5009	LR: 0.100000
Training Epoch: 5 [27136/46200]	Loss: 1.5138	LR: 0.100000
Training Epoch: 5 [27392/46200]	Loss: 1.4525	LR: 0.100000
Training Epoch: 5 [27648/46200]	Loss: 1.6721	LR: 0.100000
Training Epoch: 5 [27904/46200]	Loss: 1.4889	LR: 0.100000
Training Epoch: 5 [28160/46200]	Loss: 1.4581	LR: 0.100000
Training Epoch: 5 [28416/46200]	Loss: 1.4363	LR: 0.100000
Training Epoch: 5 [28672/46200]	Loss: 1.5424	LR: 0.100000
Training Epoch: 5 [28928/46200]	Loss: 1.4638	LR: 0.100000
Training Epoch: 5 [29184/46200]	Loss: 1.5671	LR: 0.100000
Training Epoch: 5 [29440/46200]	Loss: 1.6561	LR: 0.100000
Training Epoch: 5 [29696/46200]	Loss: 1.7135	LR: 0.100000
Training Epoch: 5 [29952/46200]	Loss: 1.5078	LR: 0.100000
Training Epoch: 5 [30208/46200]	Loss: 1.4792	LR: 0.100000
Training Epoch: 5 [30464/46200]	Loss: 1.6131	LR: 0.100000
Training Epoch: 5 [30720/46200]	Loss: 1.4777	LR: 0.100000
Training Epoch: 5 [30976/46200]	Loss: 1.4595	LR: 0.100000
Training Epoch: 5 [31232/46200]	Loss: 1.4512	LR: 0.100000
Training Epoch: 5 [31488/46200]	Loss: 1.6321	LR: 0.100000
Training Epoch: 5 [31744/46200]	Loss: 1.7430	LR: 0.100000
Training Epoch: 5 [32000/46200]	Loss: 1.4869	LR: 0.100000
Training Epoch: 5 [32256/46200]	Loss: 1.4706	LR: 0.100000
Training Epoch: 5 [32512/46200]	Loss: 1.5446	LR: 0.100000
Training Epoch: 5 [32768/46200]	Loss: 1.4034	LR: 0.100000
Training Epoch: 5 [33024/46200]	Loss: 1.4821	LR: 0.100000
Training Epoch: 5 [33280/46200]	Loss: 1.6191	LR: 0.100000
Training Epoch: 5 [33536/46200]	Loss: 1.5856	LR: 0.100000
Training Epoch: 5 [33792/46200]	Loss: 1.6094	LR: 0.100000
Training Epoch: 5 [34048/46200]	Loss: 1.4719	LR: 0.100000
Training Epoch: 5 [34304/46200]	Loss: 1.5629	LR: 0.100000
Training Epoch: 5 [34560/46200]	Loss: 1.5960	LR: 0.100000
Training Epoch: 5 [34816/46200]	Loss: 1.4533	LR: 0.100000
Training Epoch: 5 [35072/46200]	Loss: 1.5966	LR: 0.100000
Training Epoch: 5 [35328/46200]	Loss: 1.5798	LR: 0.100000
Training Epoch: 5 [35584/46200]	Loss: 1.3928	LR: 0.100000
Training Epoch: 5 [35840/46200]	Loss: 1.4147	LR: 0.100000
Training Epoch: 5 [36096/46200]	Loss: 1.5621	LR: 0.100000
Training Epoch: 5 [36352/46200]	Loss: 1.5415	LR: 0.100000
Training Epoch: 5 [36608/46200]	Loss: 1.5838	LR: 0.100000
Training Epoch: 5 [36864/46200]	Loss: 1.4527	LR: 0.100000
Training Epoch: 5 [37120/46200]	Loss: 1.4745	LR: 0.100000
Training Epoch: 5 [37376/46200]	Loss: 1.6027	LR: 0.100000
Training Epoch: 5 [37632/46200]	Loss: 1.4521	LR: 0.100000
Training Epoch: 5 [37888/46200]	Loss: 1.5171	LR: 0.100000
Training Epoch: 5 [38144/46200]	Loss: 1.5491	LR: 0.100000
Training Epoch: 5 [38400/46200]	Loss: 1.4180	LR: 0.100000
Training Epoch: 5 [38656/46200]	Loss: 1.4267	LR: 0.100000
Training Epoch: 5 [38912/46200]	Loss: 1.6047	LR: 0.100000
Training Epoch: 5 [39168/46200]	Loss: 1.4672	LR: 0.100000
Training Epoch: 5 [39424/46200]	Loss: 1.5497	LR: 0.100000
Training Epoch: 5 [39680/46200]	Loss: 1.4963	LR: 0.100000
Training Epoch: 5 [39936/46200]	Loss: 1.5879	LR: 0.100000
Training Epoch: 5 [40192/46200]	Loss: 1.5259	LR: 0.100000
Training Epoch: 5 [40448/46200]	Loss: 1.3932	LR: 0.100000
Training Epoch: 5 [40704/46200]	Loss: 1.5708	LR: 0.100000
Training Epoch: 5 [40960/46200]	Loss: 1.5120	LR: 0.100000
Training Epoch: 5 [41216/46200]	Loss: 1.5582	LR: 0.100000
Training Epoch: 5 [41472/46200]	Loss: 1.4940	LR: 0.100000
Training Epoch: 5 [41728/46200]	Loss: 1.5017	LR: 0.100000
Training Epoch: 5 [41984/46200]	Loss: 1.4697	LR: 0.100000
Training Epoch: 5 [42240/46200]	Loss: 1.4464	LR: 0.100000
Training Epoch: 5 [42496/46200]	Loss: 1.5409	LR: 0.100000
Training Epoch: 5 [42752/46200]	Loss: 1.4857	LR: 0.100000
Training Epoch: 5 [43008/46200]	Loss: 1.4962	LR: 0.100000
Training Epoch: 5 [43264/46200]	Loss: 1.4510	LR: 0.100000
Training Epoch: 5 [43520/46200]	Loss: 1.4325	LR: 0.100000
Training Epoch: 5 [43776/46200]	Loss: 1.6432	LR: 0.100000
Training Epoch: 5 [44032/46200]	Loss: 1.5556	LR: 0.100000
Training Epoch: 5 [44288/46200]	Loss: 1.6097	LR: 0.100000
Training Epoch: 5 [44544/46200]	Loss: 1.4761	LR: 0.100000
Training Epoch: 5 [44800/46200]	Loss: 1.6647	LR: 0.100000
Training Epoch: 5 [45056/46200]	Loss: 1.5652	LR: 0.100000
Training Epoch: 5 [45312/46200]	Loss: 1.5145	LR: 0.100000
Training Epoch: 5 [45568/46200]	Loss: 1.4546	LR: 0.100000
Training Epoch: 5 [45824/46200]	Loss: 1.3558	LR: 0.100000
Training Epoch: 5 [46080/46200]	Loss: 1.5602	LR: 0.100000
Training Epoch: 5 [46200/46200]	Loss: 1.5960	LR: 0.100000
Epoch 5 - Average Train Loss: 1.5412, Train Accuracy: 0.5103
Epoch 5 training time consumed: 28.04s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0067, Accuracy: 0.4781, Time consumed:0.94s
Training Epoch: 6 [256/46200]	Loss: 1.3877	LR: 0.100000
Training Epoch: 6 [512/46200]	Loss: 1.4219	LR: 0.100000
Training Epoch: 6 [768/46200]	Loss: 1.6030	LR: 0.100000
Training Epoch: 6 [1024/46200]	Loss: 1.3186	LR: 0.100000
Training Epoch: 6 [1280/46200]	Loss: 1.4726	LR: 0.100000
Training Epoch: 6 [1536/46200]	Loss: 1.5554	LR: 0.100000
Training Epoch: 6 [1792/46200]	Loss: 1.5130	LR: 0.100000
Training Epoch: 6 [2048/46200]	Loss: 1.4382	LR: 0.100000
Training Epoch: 6 [2304/46200]	Loss: 1.5782	LR: 0.100000
Training Epoch: 6 [2560/46200]	Loss: 1.4409	LR: 0.100000
Training Epoch: 6 [2816/46200]	Loss: 1.5042	LR: 0.100000
Training Epoch: 6 [3072/46200]	Loss: 1.6328	LR: 0.100000
Training Epoch: 6 [3328/46200]	Loss: 1.5195	LR: 0.100000
Training Epoch: 6 [3584/46200]	Loss: 1.5102	LR: 0.100000
Training Epoch: 6 [3840/46200]	Loss: 1.4341	LR: 0.100000
Training Epoch: 6 [4096/46200]	Loss: 1.4184	LR: 0.100000
Training Epoch: 6 [4352/46200]	Loss: 1.2834	LR: 0.100000
Training Epoch: 6 [4608/46200]	Loss: 1.4784	LR: 0.100000
Training Epoch: 6 [4864/46200]	Loss: 1.6012	LR: 0.100000
Training Epoch: 6 [5120/46200]	Loss: 1.4125	LR: 0.100000
Training Epoch: 6 [5376/46200]	Loss: 1.3671	LR: 0.100000
Training Epoch: 6 [5632/46200]	Loss: 1.5075	LR: 0.100000
Training Epoch: 6 [5888/46200]	Loss: 1.4369	LR: 0.100000
Training Epoch: 6 [6144/46200]	Loss: 1.5345	LR: 0.100000
Training Epoch: 6 [6400/46200]	Loss: 1.4008	LR: 0.100000
Training Epoch: 6 [6656/46200]	Loss: 1.4094	LR: 0.100000
Training Epoch: 6 [6912/46200]	Loss: 1.3741	LR: 0.100000
Training Epoch: 6 [7168/46200]	Loss: 1.5339	LR: 0.100000
Training Epoch: 6 [7424/46200]	Loss: 1.4584	LR: 0.100000
Training Epoch: 6 [7680/46200]	Loss: 1.4474	LR: 0.100000
Training Epoch: 6 [7936/46200]	Loss: 1.4636	LR: 0.100000
Training Epoch: 6 [8192/46200]	Loss: 1.4446	LR: 0.100000
Training Epoch: 6 [8448/46200]	Loss: 1.3271	LR: 0.100000
Training Epoch: 6 [8704/46200]	Loss: 1.4114	LR: 0.100000
Training Epoch: 6 [8960/46200]	Loss: 1.5327	LR: 0.100000
Training Epoch: 6 [9216/46200]	Loss: 1.4172	LR: 0.100000
Training Epoch: 6 [9472/46200]	Loss: 1.4254	LR: 0.100000
Training Epoch: 6 [9728/46200]	Loss: 1.3683	LR: 0.100000
Training Epoch: 6 [9984/46200]	Loss: 1.4531	LR: 0.100000
Training Epoch: 6 [10240/46200]	Loss: 1.3096	LR: 0.100000
Training Epoch: 6 [10496/46200]	Loss: 1.4023	LR: 0.100000
Training Epoch: 6 [10752/46200]	Loss: 1.2743	LR: 0.100000
Training Epoch: 6 [11008/46200]	Loss: 1.3632	LR: 0.100000
Training Epoch: 6 [11264/46200]	Loss: 1.3786	LR: 0.100000
Training Epoch: 6 [11520/46200]	Loss: 1.3656	LR: 0.100000
Training Epoch: 6 [11776/46200]	Loss: 1.4856	LR: 0.100000
Training Epoch: 6 [12032/46200]	Loss: 1.3228	LR: 0.100000
Training Epoch: 6 [12288/46200]	Loss: 1.3829	LR: 0.100000
Training Epoch: 6 [12544/46200]	Loss: 1.3656	LR: 0.100000
Training Epoch: 6 [12800/46200]	Loss: 1.5672	LR: 0.100000
Training Epoch: 6 [13056/46200]	Loss: 1.6507	LR: 0.100000
Training Epoch: 6 [13312/46200]	Loss: 1.4794	LR: 0.100000
Training Epoch: 6 [13568/46200]	Loss: 1.4375	LR: 0.100000
Training Epoch: 6 [13824/46200]	Loss: 1.5310	LR: 0.100000
Training Epoch: 6 [14080/46200]	Loss: 1.3601	LR: 0.100000
Training Epoch: 6 [14336/46200]	Loss: 1.4193	LR: 0.100000
Training Epoch: 6 [14592/46200]	Loss: 1.4661	LR: 0.100000
Training Epoch: 6 [14848/46200]	Loss: 1.4854	LR: 0.100000
Training Epoch: 6 [15104/46200]	Loss: 1.3037	LR: 0.100000
Training Epoch: 6 [15360/46200]	Loss: 1.3534	LR: 0.100000
Training Epoch: 6 [15616/46200]	Loss: 1.3786	LR: 0.100000
Training Epoch: 6 [15872/46200]	Loss: 1.4485	LR: 0.100000
Training Epoch: 6 [16128/46200]	Loss: 1.4481	LR: 0.100000
Training Epoch: 6 [16384/46200]	Loss: 1.2838	LR: 0.100000
Training Epoch: 6 [16640/46200]	Loss: 1.4358	LR: 0.100000
Training Epoch: 6 [16896/46200]	Loss: 1.4213	LR: 0.100000
Training Epoch: 6 [17152/46200]	Loss: 1.3849	LR: 0.100000
Training Epoch: 6 [17408/46200]	Loss: 1.4690	LR: 0.100000
Training Epoch: 6 [17664/46200]	Loss: 1.3624	LR: 0.100000
Training Epoch: 6 [17920/46200]	Loss: 1.3851	LR: 0.100000
Training Epoch: 6 [18176/46200]	Loss: 1.3631	LR: 0.100000
Training Epoch: 6 [18432/46200]	Loss: 1.3535	LR: 0.100000
Training Epoch: 6 [18688/46200]	Loss: 1.4088	LR: 0.100000
Training Epoch: 6 [18944/46200]	Loss: 1.4780	LR: 0.100000
Training Epoch: 6 [19200/46200]	Loss: 1.3352	LR: 0.100000
Training Epoch: 6 [19456/46200]	Loss: 1.3667	LR: 0.100000
Training Epoch: 6 [19712/46200]	Loss: 1.3176	LR: 0.100000
Training Epoch: 6 [19968/46200]	Loss: 1.3539	LR: 0.100000
Training Epoch: 6 [20224/46200]	Loss: 1.4873	LR: 0.100000
Training Epoch: 6 [20480/46200]	Loss: 1.3496	LR: 0.100000
Training Epoch: 6 [20736/46200]	Loss: 1.3023	LR: 0.100000
Training Epoch: 6 [20992/46200]	Loss: 1.2936	LR: 0.100000
Training Epoch: 6 [21248/46200]	Loss: 1.5318	LR: 0.100000
Training Epoch: 6 [21504/46200]	Loss: 1.2747	LR: 0.100000
Training Epoch: 6 [21760/46200]	Loss: 1.3693	LR: 0.100000
Training Epoch: 6 [22016/46200]	Loss: 1.3802	LR: 0.100000
Training Epoch: 6 [22272/46200]	Loss: 1.3582	LR: 0.100000
Training Epoch: 6 [22528/46200]	Loss: 1.2364	LR: 0.100000
Training Epoch: 6 [22784/46200]	Loss: 1.4531	LR: 0.100000
Training Epoch: 6 [23040/46200]	Loss: 1.4163	LR: 0.100000
Training Epoch: 6 [23296/46200]	Loss: 1.2446	LR: 0.100000
Training Epoch: 6 [23552/46200]	Loss: 1.4394	LR: 0.100000
Training Epoch: 6 [23808/46200]	Loss: 1.2530	LR: 0.100000
Training Epoch: 6 [24064/46200]	Loss: 1.3907	LR: 0.100000
Training Epoch: 6 [24320/46200]	Loss: 1.3523	LR: 0.100000
Training Epoch: 6 [24576/46200]	Loss: 1.2827	LR: 0.100000
Training Epoch: 6 [24832/46200]	Loss: 1.4535	LR: 0.100000
Training Epoch: 6 [25088/46200]	Loss: 1.3662	LR: 0.100000
Training Epoch: 6 [25344/46200]	Loss: 1.3960	LR: 0.100000
Training Epoch: 6 [25600/46200]	Loss: 1.3141	LR: 0.100000
Training Epoch: 6 [25856/46200]	Loss: 1.4618	LR: 0.100000
Training Epoch: 6 [26112/46200]	Loss: 1.3355	LR: 0.100000
Training Epoch: 6 [26368/46200]	Loss: 1.4623	LR: 0.100000
Training Epoch: 6 [26624/46200]	Loss: 1.3077	LR: 0.100000
Training Epoch: 6 [26880/46200]	Loss: 1.5692	LR: 0.100000
Training Epoch: 6 [27136/46200]	Loss: 1.4233	LR: 0.100000
Training Epoch: 6 [27392/46200]	Loss: 1.5483	LR: 0.100000
Training Epoch: 6 [27648/46200]	Loss: 1.4189	LR: 0.100000
Training Epoch: 6 [27904/46200]	Loss: 1.2733	LR: 0.100000
Training Epoch: 6 [28160/46200]	Loss: 1.5176	LR: 0.100000
Training Epoch: 6 [28416/46200]	Loss: 1.5688	LR: 0.100000
Training Epoch: 6 [28672/46200]	Loss: 1.5175	LR: 0.100000
Training Epoch: 6 [28928/46200]	Loss: 1.4493	LR: 0.100000
Training Epoch: 6 [29184/46200]	Loss: 1.4056	LR: 0.100000
Training Epoch: 6 [29440/46200]	Loss: 1.4495	LR: 0.100000
Training Epoch: 6 [29696/46200]	Loss: 1.4529	LR: 0.100000
Training Epoch: 6 [29952/46200]	Loss: 1.4651	LR: 0.100000
Training Epoch: 6 [30208/46200]	Loss: 1.4063	LR: 0.100000
Training Epoch: 6 [30464/46200]	Loss: 1.4880	LR: 0.100000
Training Epoch: 6 [30720/46200]	Loss: 1.4120	LR: 0.100000
Training Epoch: 6 [30976/46200]	Loss: 1.4136	LR: 0.100000
Training Epoch: 6 [31232/46200]	Loss: 1.3428	LR: 0.100000
Training Epoch: 6 [31488/46200]	Loss: 1.2771	LR: 0.100000
Training Epoch: 6 [31744/46200]	Loss: 1.4088	LR: 0.100000
Training Epoch: 6 [32000/46200]	Loss: 1.3109	LR: 0.100000
Training Epoch: 6 [32256/46200]	Loss: 1.3672	LR: 0.100000
Training Epoch: 6 [32512/46200]	Loss: 1.2695	LR: 0.100000
Training Epoch: 6 [32768/46200]	Loss: 1.4104	LR: 0.100000
Training Epoch: 6 [33024/46200]	Loss: 1.4995	LR: 0.100000
Training Epoch: 6 [33280/46200]	Loss: 1.4381	LR: 0.100000
Training Epoch: 6 [33536/46200]	Loss: 1.2902	LR: 0.100000
Training Epoch: 6 [33792/46200]	Loss: 1.3875	LR: 0.100000
Training Epoch: 6 [34048/46200]	Loss: 1.3581	LR: 0.100000
Training Epoch: 6 [34304/46200]	Loss: 1.4506	LR: 0.100000
Training Epoch: 6 [34560/46200]	Loss: 1.3201	LR: 0.100000
Training Epoch: 6 [34816/46200]	Loss: 1.3712	LR: 0.100000
Training Epoch: 6 [35072/46200]	Loss: 1.4200	LR: 0.100000
Training Epoch: 6 [35328/46200]	Loss: 1.2507	LR: 0.100000
Training Epoch: 6 [35584/46200]	Loss: 1.4611	LR: 0.100000
Training Epoch: 6 [35840/46200]	Loss: 1.2044	LR: 0.100000
Training Epoch: 6 [36096/46200]	Loss: 1.2544	LR: 0.100000
Training Epoch: 6 [36352/46200]	Loss: 1.4369	LR: 0.100000
Training Epoch: 6 [36608/46200]	Loss: 1.3554	LR: 0.100000
Training Epoch: 6 [36864/46200]	Loss: 1.3331	LR: 0.100000
Training Epoch: 6 [37120/46200]	Loss: 1.3015	LR: 0.100000
Training Epoch: 6 [37376/46200]	Loss: 1.2909	LR: 0.100000
Training Epoch: 6 [37632/46200]	Loss: 1.3302	LR: 0.100000
Training Epoch: 6 [37888/46200]	Loss: 1.4028	LR: 0.100000
Training Epoch: 6 [38144/46200]	Loss: 1.4575	LR: 0.100000
Training Epoch: 6 [38400/46200]	Loss: 1.6089	LR: 0.100000
Training Epoch: 6 [38656/46200]	Loss: 1.4573	LR: 0.100000
Training Epoch: 6 [38912/46200]	Loss: 1.3384	LR: 0.100000
Training Epoch: 6 [39168/46200]	Loss: 1.3735	LR: 0.100000
Training Epoch: 6 [39424/46200]	Loss: 1.4478	LR: 0.100000
Training Epoch: 6 [39680/46200]	Loss: 1.5750	LR: 0.100000
Training Epoch: 6 [39936/46200]	Loss: 1.5581	LR: 0.100000
Training Epoch: 6 [40192/46200]	Loss: 1.4271	LR: 0.100000
Training Epoch: 6 [40448/46200]	Loss: 1.3418	LR: 0.100000
Training Epoch: 6 [40704/46200]	Loss: 1.2365	LR: 0.100000
Training Epoch: 6 [40960/46200]	Loss: 1.3953	LR: 0.100000
Training Epoch: 6 [41216/46200]	Loss: 1.3766	LR: 0.100000
Training Epoch: 6 [41472/46200]	Loss: 1.2952	LR: 0.100000
Training Epoch: 6 [41728/46200]	Loss: 1.2963	LR: 0.100000
Training Epoch: 6 [41984/46200]	Loss: 1.2411	LR: 0.100000
Training Epoch: 6 [42240/46200]	Loss: 1.4559	LR: 0.100000
Training Epoch: 6 [42496/46200]	Loss: 1.2627	LR: 0.100000
Training Epoch: 6 [42752/46200]	Loss: 1.4061	LR: 0.100000
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Training Epoch: 6 [43264/46200]	Loss: 1.2864	LR: 0.100000
Training Epoch: 6 [43520/46200]	Loss: 1.2354	LR: 0.100000
Training Epoch: 6 [43776/46200]	Loss: 1.3453	LR: 0.100000
Training Epoch: 6 [44032/46200]	Loss: 1.4706	LR: 0.100000
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Training Epoch: 6 [46200/46200]	Loss: 1.3475	LR: 0.100000
Epoch 6 - Average Train Loss: 1.4014, Train Accuracy: 0.5494
Epoch 6 training time consumed: 28.07s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0057, Accuracy: 0.5479, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_04h_41m_48s/ResNet18-Cifar20-seed9-ret25-6-best.pth
Training Epoch: 7 [256/46200]	Loss: 1.2092	LR: 0.100000
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Training Epoch: 7 [46200/46200]	Loss: 1.1842	LR: 0.100000
Epoch 7 - Average Train Loss: 1.2912, Train Accuracy: 0.5859
Epoch 7 training time consumed: 27.89s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0058, Accuracy: 0.5516, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_04h_41m_48s/ResNet18-Cifar20-seed9-ret25-7-best.pth
Training Epoch: 8 [256/46200]	Loss: 1.3147	LR: 0.100000
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Training Epoch: 8 [46200/46200]	Loss: 1.3262	LR: 0.100000
Epoch 8 - Average Train Loss: 1.2133, Train Accuracy: 0.6088
Epoch 8 training time consumed: 28.00s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0052, Accuracy: 0.5880, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_04h_41m_48s/ResNet18-Cifar20-seed9-ret25-8-best.pth
Training Epoch: 9 [256/46200]	Loss: 1.2363	LR: 0.100000
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Training Epoch: 9 [46200/46200]	Loss: 1.0777	LR: 0.100000
Epoch 9 - Average Train Loss: 1.1350, Train Accuracy: 0.6347
Epoch 9 training time consumed: 27.93s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0044, Accuracy: 0.6372, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_04h_41m_48s/ResNet18-Cifar20-seed9-ret25-9-best.pth
Training Epoch: 10 [256/46200]	Loss: 1.0510	LR: 0.100000
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Training Epoch: 10 [7936/46200]	Loss: 1.0289	LR: 0.100000
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Training Epoch: 10 [8448/46200]	Loss: 0.9712	LR: 0.100000
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Training Epoch: 10 [9984/46200]	Loss: 1.0332	LR: 0.100000
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Training Epoch: 10 [11008/46200]	Loss: 1.0403	LR: 0.100000
Training Epoch: 10 [11264/46200]	Loss: 0.9988	LR: 0.100000
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Training Epoch: 10 [12544/46200]	Loss: 1.2634	LR: 0.100000
Training Epoch: 10 [12800/46200]	Loss: 1.0208	LR: 0.100000
Training Epoch: 10 [13056/46200]	Loss: 1.0707	LR: 0.100000
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Training Epoch: 10 [15616/46200]	Loss: 1.2170	LR: 0.100000
Training Epoch: 10 [15872/46200]	Loss: 1.1484	LR: 0.100000
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Training Epoch: 10 [16896/46200]	Loss: 1.0177	LR: 0.100000
Training Epoch: 10 [17152/46200]	Loss: 1.0622	LR: 0.100000
Training Epoch: 10 [17408/46200]	Loss: 1.0934	LR: 0.100000
Training Epoch: 10 [17664/46200]	Loss: 1.0723	LR: 0.100000
Training Epoch: 10 [17920/46200]	Loss: 1.0837	LR: 0.100000
Training Epoch: 10 [18176/46200]	Loss: 1.1054	LR: 0.100000
Training Epoch: 10 [18432/46200]	Loss: 1.1282	LR: 0.100000
Training Epoch: 10 [18688/46200]	Loss: 1.0769	LR: 0.100000
Training Epoch: 10 [18944/46200]	Loss: 1.1082	LR: 0.100000
Training Epoch: 10 [19200/46200]	Loss: 1.0165	LR: 0.100000
Training Epoch: 10 [19456/46200]	Loss: 1.1448	LR: 0.100000
Training Epoch: 10 [19712/46200]	Loss: 1.0098	LR: 0.100000
Training Epoch: 10 [19968/46200]	Loss: 1.0675	LR: 0.100000
Training Epoch: 10 [20224/46200]	Loss: 1.0612	LR: 0.100000
Training Epoch: 10 [20480/46200]	Loss: 1.1958	LR: 0.100000
Training Epoch: 10 [20736/46200]	Loss: 1.1041	LR: 0.100000
Training Epoch: 10 [20992/46200]	Loss: 1.0618	LR: 0.100000
Training Epoch: 10 [21248/46200]	Loss: 1.0871	LR: 0.100000
Training Epoch: 10 [21504/46200]	Loss: 1.1006	LR: 0.100000
Training Epoch: 10 [21760/46200]	Loss: 1.1677	LR: 0.100000
Training Epoch: 10 [22016/46200]	Loss: 1.1123	LR: 0.100000
Training Epoch: 10 [22272/46200]	Loss: 0.9770	LR: 0.100000
Training Epoch: 10 [22528/46200]	Loss: 1.0299	LR: 0.100000
Training Epoch: 10 [22784/46200]	Loss: 1.0752	LR: 0.100000
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Training Epoch: 10 [23296/46200]	Loss: 0.9963	LR: 0.100000
Training Epoch: 10 [23552/46200]	Loss: 1.0277	LR: 0.100000
Training Epoch: 10 [23808/46200]	Loss: 0.9827	LR: 0.100000
Training Epoch: 10 [24064/46200]	Loss: 1.0533	LR: 0.100000
Training Epoch: 10 [24320/46200]	Loss: 1.0135	LR: 0.100000
Training Epoch: 10 [24576/46200]	Loss: 1.0174	LR: 0.100000
Training Epoch: 10 [24832/46200]	Loss: 0.9553	LR: 0.100000
Training Epoch: 10 [25088/46200]	Loss: 1.1232	LR: 0.100000
Training Epoch: 10 [25344/46200]	Loss: 1.0121	LR: 0.100000
Training Epoch: 10 [25600/46200]	Loss: 1.0115	LR: 0.100000
Training Epoch: 10 [25856/46200]	Loss: 1.1028	LR: 0.100000
Training Epoch: 10 [26112/46200]	Loss: 0.9878	LR: 0.100000
Training Epoch: 10 [26368/46200]	Loss: 1.1645	LR: 0.100000
Training Epoch: 10 [26624/46200]	Loss: 1.0856	LR: 0.100000
Training Epoch: 10 [26880/46200]	Loss: 1.1346	LR: 0.100000
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Training Epoch: 10 [27904/46200]	Loss: 1.1725	LR: 0.100000
Training Epoch: 10 [28160/46200]	Loss: 1.0280	LR: 0.100000
Training Epoch: 10 [28416/46200]	Loss: 1.0605	LR: 0.100000
Training Epoch: 10 [28672/46200]	Loss: 1.0372	LR: 0.100000
Training Epoch: 10 [28928/46200]	Loss: 1.0288	LR: 0.100000
Training Epoch: 10 [29184/46200]	Loss: 1.1156	LR: 0.100000
Training Epoch: 10 [29440/46200]	Loss: 1.1420	LR: 0.100000
Training Epoch: 10 [29696/46200]	Loss: 0.9566	LR: 0.100000
Training Epoch: 10 [29952/46200]	Loss: 1.0604	LR: 0.100000
Training Epoch: 10 [30208/46200]	Loss: 0.9920	LR: 0.100000
Training Epoch: 10 [30464/46200]	Loss: 1.0189	LR: 0.100000
Training Epoch: 10 [30720/46200]	Loss: 1.1410	LR: 0.100000
Training Epoch: 10 [30976/46200]	Loss: 1.0247	LR: 0.100000
Training Epoch: 10 [31232/46200]	Loss: 1.0102	LR: 0.100000
Training Epoch: 10 [31488/46200]	Loss: 0.9597	LR: 0.100000
Training Epoch: 10 [31744/46200]	Loss: 1.1040	LR: 0.100000
Training Epoch: 10 [32000/46200]	Loss: 1.0411	LR: 0.100000
Training Epoch: 10 [32256/46200]	Loss: 1.2499	LR: 0.100000
Training Epoch: 10 [32512/46200]	Loss: 1.0324	LR: 0.100000
Training Epoch: 10 [32768/46200]	Loss: 0.9509	LR: 0.100000
Training Epoch: 10 [33024/46200]	Loss: 0.9328	LR: 0.100000
Training Epoch: 10 [33280/46200]	Loss: 1.0458	LR: 0.100000
Training Epoch: 10 [33536/46200]	Loss: 0.9662	LR: 0.100000
Training Epoch: 10 [33792/46200]	Loss: 1.1061	LR: 0.100000
Training Epoch: 10 [34048/46200]	Loss: 1.0816	LR: 0.100000
Training Epoch: 10 [34304/46200]	Loss: 1.0851	LR: 0.100000
Training Epoch: 10 [34560/46200]	Loss: 1.1539	LR: 0.100000
Training Epoch: 10 [34816/46200]	Loss: 0.9411	LR: 0.100000
Training Epoch: 10 [35072/46200]	Loss: 1.0780	LR: 0.100000
Training Epoch: 10 [35328/46200]	Loss: 0.9527	LR: 0.100000
Training Epoch: 10 [35584/46200]	Loss: 1.0654	LR: 0.100000
Training Epoch: 10 [35840/46200]	Loss: 1.1025	LR: 0.100000
Training Epoch: 10 [36096/46200]	Loss: 1.1913	LR: 0.100000
Training Epoch: 10 [36352/46200]	Loss: 1.0183	LR: 0.100000
Training Epoch: 10 [36608/46200]	Loss: 0.9703	LR: 0.100000
Training Epoch: 10 [36864/46200]	Loss: 0.9222	LR: 0.100000
Training Epoch: 10 [37120/46200]	Loss: 0.9765	LR: 0.100000
Training Epoch: 10 [37376/46200]	Loss: 0.9514	LR: 0.100000
Training Epoch: 10 [37632/46200]	Loss: 1.0543	LR: 0.100000
Training Epoch: 10 [37888/46200]	Loss: 1.2440	LR: 0.100000
Training Epoch: 10 [38144/46200]	Loss: 0.9480	LR: 0.100000
Training Epoch: 10 [38400/46200]	Loss: 1.0587	LR: 0.100000
Training Epoch: 10 [38656/46200]	Loss: 1.2209	LR: 0.100000
Training Epoch: 10 [38912/46200]	Loss: 0.9887	LR: 0.100000
Training Epoch: 10 [39168/46200]	Loss: 0.9680	LR: 0.100000
Training Epoch: 10 [39424/46200]	Loss: 1.1353	LR: 0.100000
Training Epoch: 10 [39680/46200]	Loss: 0.9448	LR: 0.100000
Training Epoch: 10 [39936/46200]	Loss: 1.0561	LR: 0.100000
Training Epoch: 10 [40192/46200]	Loss: 1.0291	LR: 0.100000
Training Epoch: 10 [40448/46200]	Loss: 1.2029	LR: 0.100000
Training Epoch: 10 [40704/46200]	Loss: 1.2708	LR: 0.100000
Training Epoch: 10 [40960/46200]	Loss: 1.1971	LR: 0.100000
Training Epoch: 10 [41216/46200]	Loss: 1.0585	LR: 0.100000
Training Epoch: 10 [41472/46200]	Loss: 1.2145	LR: 0.100000
Training Epoch: 10 [41728/46200]	Loss: 1.0961	LR: 0.100000
Training Epoch: 10 [41984/46200]	Loss: 0.9942	LR: 0.100000
Training Epoch: 10 [42240/46200]	Loss: 1.0825	LR: 0.100000
Training Epoch: 10 [42496/46200]	Loss: 1.0872	LR: 0.100000
Training Epoch: 10 [42752/46200]	Loss: 1.1931	LR: 0.100000
Training Epoch: 10 [43008/46200]	Loss: 1.0486	LR: 0.100000
Training Epoch: 10 [43264/46200]	Loss: 1.0985	LR: 0.100000
Training Epoch: 10 [43520/46200]	Loss: 1.0329	LR: 0.100000
Training Epoch: 10 [43776/46200]	Loss: 1.0512	LR: 0.100000
Training Epoch: 10 [44032/46200]	Loss: 1.0832	LR: 0.100000
Training Epoch: 10 [44288/46200]	Loss: 1.0276	LR: 0.100000
Training Epoch: 10 [44544/46200]	Loss: 1.0406	LR: 0.100000
Training Epoch: 10 [44800/46200]	Loss: 0.9784	LR: 0.100000
Training Epoch: 10 [45056/46200]	Loss: 0.9996	LR: 0.100000
Training Epoch: 10 [45312/46200]	Loss: 0.9998	LR: 0.100000
Training Epoch: 10 [45568/46200]	Loss: 1.1103	LR: 0.100000
Training Epoch: 10 [45824/46200]	Loss: 1.0642	LR: 0.100000
Training Epoch: 10 [46080/46200]	Loss: 1.1043	LR: 0.100000
Training Epoch: 10 [46200/46200]	Loss: 1.1440	LR: 0.100000
Epoch 10 - Average Train Loss: 1.0643, Train Accuracy: 0.6544
Epoch 10 training time consumed: 28.00s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0048, Accuracy: 0.6251, Time consumed:0.91s
Training Epoch: 11 [256/46200]	Loss: 1.0404	LR: 0.100000
Training Epoch: 11 [512/46200]	Loss: 1.0726	LR: 0.100000
Training Epoch: 11 [768/46200]	Loss: 0.9340	LR: 0.100000
Training Epoch: 11 [1024/46200]	Loss: 1.0946	LR: 0.100000
Training Epoch: 11 [1280/46200]	Loss: 0.8771	LR: 0.100000
Training Epoch: 11 [1536/46200]	Loss: 0.9128	LR: 0.100000
Training Epoch: 11 [1792/46200]	Loss: 1.1232	LR: 0.100000
Training Epoch: 11 [2048/46200]	Loss: 1.0887	LR: 0.100000
Training Epoch: 11 [2304/46200]	Loss: 0.9879	LR: 0.100000
Training Epoch: 11 [2560/46200]	Loss: 1.0348	LR: 0.100000
Training Epoch: 11 [2816/46200]	Loss: 0.9712	LR: 0.100000
Training Epoch: 11 [3072/46200]	Loss: 1.0005	LR: 0.100000
Training Epoch: 11 [3328/46200]	Loss: 0.9557	LR: 0.100000
Training Epoch: 11 [3584/46200]	Loss: 1.0318	LR: 0.100000
Training Epoch: 11 [3840/46200]	Loss: 0.9806	LR: 0.100000
Training Epoch: 11 [4096/46200]	Loss: 0.9993	LR: 0.100000
Training Epoch: 11 [4352/46200]	Loss: 0.9520	LR: 0.100000
Training Epoch: 11 [4608/46200]	Loss: 0.9741	LR: 0.100000
Training Epoch: 11 [4864/46200]	Loss: 1.0098	LR: 0.100000
Training Epoch: 11 [5120/46200]	Loss: 1.0488	LR: 0.100000
Training Epoch: 11 [5376/46200]	Loss: 1.0661	LR: 0.100000
Training Epoch: 11 [5632/46200]	Loss: 0.9383	LR: 0.100000
Training Epoch: 11 [5888/46200]	Loss: 1.0828	LR: 0.100000
Training Epoch: 11 [6144/46200]	Loss: 0.9344	LR: 0.100000
Training Epoch: 11 [6400/46200]	Loss: 1.0073	LR: 0.100000
Training Epoch: 11 [6656/46200]	Loss: 1.0302	LR: 0.100000
Training Epoch: 11 [6912/46200]	Loss: 1.0090	LR: 0.100000
Training Epoch: 11 [7168/46200]	Loss: 0.9270	LR: 0.100000
Training Epoch: 11 [7424/46200]	Loss: 0.8733	LR: 0.100000
Training Epoch: 11 [7680/46200]	Loss: 1.1198	LR: 0.100000
Training Epoch: 11 [7936/46200]	Loss: 0.9484	LR: 0.100000
Training Epoch: 11 [8192/46200]	Loss: 1.1240	LR: 0.100000
Training Epoch: 11 [8448/46200]	Loss: 1.0405	LR: 0.100000
Training Epoch: 11 [8704/46200]	Loss: 0.9136	LR: 0.100000
Training Epoch: 11 [8960/46200]	Loss: 1.0630	LR: 0.100000
Training Epoch: 11 [9216/46200]	Loss: 0.9536	LR: 0.100000
Training Epoch: 11 [9472/46200]	Loss: 1.0002	LR: 0.100000
Training Epoch: 11 [9728/46200]	Loss: 0.9994	LR: 0.100000
Training Epoch: 11 [9984/46200]	Loss: 1.1313	LR: 0.100000
Training Epoch: 11 [10240/46200]	Loss: 1.0540	LR: 0.100000
Training Epoch: 11 [10496/46200]	Loss: 0.9930	LR: 0.100000
Training Epoch: 11 [10752/46200]	Loss: 0.8917	LR: 0.100000
Training Epoch: 11 [11008/46200]	Loss: 1.0551	LR: 0.100000
Training Epoch: 11 [11264/46200]	Loss: 1.0578	LR: 0.100000
Training Epoch: 11 [11520/46200]	Loss: 0.9158	LR: 0.100000
Training Epoch: 11 [11776/46200]	Loss: 0.9265	LR: 0.100000
Training Epoch: 11 [12032/46200]	Loss: 0.9954	LR: 0.100000
Training Epoch: 11 [12288/46200]	Loss: 1.0024	LR: 0.100000
Training Epoch: 11 [12544/46200]	Loss: 1.1381	LR: 0.100000
Training Epoch: 11 [12800/46200]	Loss: 1.0770	LR: 0.100000
Training Epoch: 11 [13056/46200]	Loss: 0.9741	LR: 0.100000
Training Epoch: 11 [13312/46200]	Loss: 1.3066	LR: 0.100000
Training Epoch: 11 [13568/46200]	Loss: 1.0244	LR: 0.100000
Training Epoch: 11 [13824/46200]	Loss: 0.9489	LR: 0.100000
Training Epoch: 11 [14080/46200]	Loss: 0.8638	LR: 0.100000
Training Epoch: 11 [14336/46200]	Loss: 1.1386	LR: 0.100000
Training Epoch: 11 [14592/46200]	Loss: 0.9769	LR: 0.100000
Training Epoch: 11 [14848/46200]	Loss: 1.0033	LR: 0.100000
Training Epoch: 11 [15104/46200]	Loss: 0.8892	LR: 0.100000
Training Epoch: 11 [15360/46200]	Loss: 1.1091	LR: 0.100000
Training Epoch: 11 [15616/46200]	Loss: 1.0346	LR: 0.100000
Training Epoch: 11 [15872/46200]	Loss: 1.0205	LR: 0.100000
Training Epoch: 11 [16128/46200]	Loss: 1.0633	LR: 0.100000
Training Epoch: 11 [16384/46200]	Loss: 1.0012	LR: 0.100000
Training Epoch: 11 [16640/46200]	Loss: 1.0054	LR: 0.100000
Training Epoch: 11 [16896/46200]	Loss: 1.0745	LR: 0.100000
Training Epoch: 11 [17152/46200]	Loss: 0.9329	LR: 0.100000
Training Epoch: 11 [17408/46200]	Loss: 1.0033	LR: 0.100000
Training Epoch: 11 [17664/46200]	Loss: 1.0070	LR: 0.100000
Training Epoch: 11 [17920/46200]	Loss: 1.0253	LR: 0.100000
Training Epoch: 11 [18176/46200]	Loss: 0.9936	LR: 0.100000
Training Epoch: 11 [18432/46200]	Loss: 1.0531	LR: 0.100000
Training Epoch: 11 [18688/46200]	Loss: 1.0239	LR: 0.100000
Training Epoch: 11 [18944/46200]	Loss: 1.0664	LR: 0.100000
Training Epoch: 11 [19200/46200]	Loss: 1.0087	LR: 0.100000
Training Epoch: 11 [19456/46200]	Loss: 0.8918	LR: 0.100000
Training Epoch: 11 [19712/46200]	Loss: 0.9894	LR: 0.100000
Training Epoch: 11 [19968/46200]	Loss: 0.9924	LR: 0.100000
Training Epoch: 11 [20224/46200]	Loss: 1.2237	LR: 0.100000
Training Epoch: 11 [20480/46200]	Loss: 1.0587	LR: 0.100000
Training Epoch: 11 [20736/46200]	Loss: 1.0719	LR: 0.100000
Training Epoch: 11 [20992/46200]	Loss: 1.0206	LR: 0.100000
Training Epoch: 11 [21248/46200]	Loss: 1.0844	LR: 0.100000
Training Epoch: 11 [21504/46200]	Loss: 1.0040	LR: 0.100000
Training Epoch: 11 [21760/46200]	Loss: 1.0572	LR: 0.100000
Training Epoch: 11 [22016/46200]	Loss: 0.9662	LR: 0.100000
Training Epoch: 11 [22272/46200]	Loss: 1.2225	LR: 0.100000
Training Epoch: 11 [22528/46200]	Loss: 1.0321	LR: 0.100000
Training Epoch: 11 [22784/46200]	Loss: 0.9979	LR: 0.100000
Training Epoch: 11 [23040/46200]	Loss: 0.9784	LR: 0.100000
Training Epoch: 11 [23296/46200]	Loss: 1.0497	LR: 0.100000
Training Epoch: 11 [23552/46200]	Loss: 0.9325	LR: 0.100000
Training Epoch: 11 [23808/46200]	Loss: 1.0269	LR: 0.100000
Training Epoch: 11 [24064/46200]	Loss: 1.0289	LR: 0.100000
Training Epoch: 11 [24320/46200]	Loss: 0.9599	LR: 0.100000
Training Epoch: 11 [24576/46200]	Loss: 0.9573	LR: 0.100000
Training Epoch: 11 [24832/46200]	Loss: 1.0809	LR: 0.100000
Training Epoch: 11 [25088/46200]	Loss: 1.0756	LR: 0.100000
Training Epoch: 11 [25344/46200]	Loss: 0.9183	LR: 0.100000
Training Epoch: 11 [25600/46200]	Loss: 0.9201	LR: 0.100000
Training Epoch: 11 [25856/46200]	Loss: 1.1299	LR: 0.100000
Training Epoch: 11 [26112/46200]	Loss: 1.1731	LR: 0.100000
Training Epoch: 11 [26368/46200]	Loss: 0.9216	LR: 0.100000
Training Epoch: 11 [26624/46200]	Loss: 1.0065	LR: 0.100000
Training Epoch: 11 [26880/46200]	Loss: 1.1396	LR: 0.100000
Training Epoch: 11 [27136/46200]	Loss: 1.0094	LR: 0.100000
Training Epoch: 11 [27392/46200]	Loss: 0.8293	LR: 0.100000
Training Epoch: 11 [27648/46200]	Loss: 1.0202	LR: 0.100000
Training Epoch: 11 [27904/46200]	Loss: 0.9755	LR: 0.100000
Training Epoch: 11 [28160/46200]	Loss: 0.9264	LR: 0.100000
Training Epoch: 11 [28416/46200]	Loss: 0.9484	LR: 0.100000
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Training Epoch: 11 [29184/46200]	Loss: 0.9549	LR: 0.100000
Training Epoch: 11 [29440/46200]	Loss: 0.9747	LR: 0.100000
Training Epoch: 11 [29696/46200]	Loss: 1.0067	LR: 0.100000
Training Epoch: 11 [29952/46200]	Loss: 1.0619	LR: 0.100000
Training Epoch: 11 [30208/46200]	Loss: 1.0163	LR: 0.100000
Training Epoch: 11 [30464/46200]	Loss: 0.9528	LR: 0.100000
Training Epoch: 11 [30720/46200]	Loss: 0.9484	LR: 0.100000
Training Epoch: 11 [30976/46200]	Loss: 0.9866	LR: 0.100000
Training Epoch: 11 [31232/46200]	Loss: 1.0401	LR: 0.100000
Training Epoch: 11 [31488/46200]	Loss: 1.0779	LR: 0.100000
Training Epoch: 11 [31744/46200]	Loss: 1.1697	LR: 0.100000
Training Epoch: 11 [32000/46200]	Loss: 1.0154	LR: 0.100000
Training Epoch: 11 [32256/46200]	Loss: 0.9942	LR: 0.100000
Training Epoch: 11 [32512/46200]	Loss: 1.1905	LR: 0.100000
Training Epoch: 11 [32768/46200]	Loss: 1.0240	LR: 0.100000
Training Epoch: 11 [33024/46200]	Loss: 1.0235	LR: 0.100000
Training Epoch: 11 [33280/46200]	Loss: 1.0200	LR: 0.100000
Training Epoch: 11 [33536/46200]	Loss: 1.1365	LR: 0.100000
Training Epoch: 11 [33792/46200]	Loss: 1.1561	LR: 0.100000
Training Epoch: 11 [34048/46200]	Loss: 1.0953	LR: 0.100000
Training Epoch: 11 [34304/46200]	Loss: 1.0297	LR: 0.100000
Training Epoch: 11 [34560/46200]	Loss: 1.1030	LR: 0.100000
Training Epoch: 11 [34816/46200]	Loss: 0.9850	LR: 0.100000
Training Epoch: 11 [35072/46200]	Loss: 0.9219	LR: 0.100000
Training Epoch: 11 [35328/46200]	Loss: 1.0829	LR: 0.100000
Training Epoch: 11 [35584/46200]	Loss: 0.9765	LR: 0.100000
Training Epoch: 11 [35840/46200]	Loss: 0.9026	LR: 0.100000
Training Epoch: 11 [36096/46200]	Loss: 1.0476	LR: 0.100000
Training Epoch: 11 [36352/46200]	Loss: 1.0158	LR: 0.100000
Training Epoch: 11 [36608/46200]	Loss: 0.9576	LR: 0.100000
Training Epoch: 11 [36864/46200]	Loss: 1.0014	LR: 0.100000
Training Epoch: 11 [37120/46200]	Loss: 1.1468	LR: 0.100000
Training Epoch: 11 [37376/46200]	Loss: 1.1720	LR: 0.100000
Training Epoch: 11 [37632/46200]	Loss: 0.9885	LR: 0.100000
Training Epoch: 11 [37888/46200]	Loss: 1.0008	LR: 0.100000
Training Epoch: 11 [38144/46200]	Loss: 0.9607	LR: 0.100000
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Training Epoch: 11 [46200/46200]	Loss: 0.9792	LR: 0.100000
Epoch 11 - Average Train Loss: 1.0144, Train Accuracy: 0.6710
Epoch 11 training time consumed: 28.06s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0051, Accuracy: 0.6039, Time consumed:0.94s
Training Epoch: 12 [256/46200]	Loss: 0.8459	LR: 0.100000
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Training Epoch: 12 [46200/46200]	Loss: 1.0801	LR: 0.100000
Epoch 12 - Average Train Loss: 0.9746, Train Accuracy: 0.6844
Epoch 12 training time consumed: 28.05s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0045, Accuracy: 0.6414, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_04h_41m_48s/ResNet18-Cifar20-seed9-ret25-12-best.pth
Training Epoch: 13 [256/46200]	Loss: 0.8268	LR: 0.100000
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Training Epoch: 13 [46200/46200]	Loss: 1.0028	LR: 0.100000
Epoch 13 - Average Train Loss: 0.9267, Train Accuracy: 0.6990
Epoch 13 training time consumed: 28.05s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0045, Accuracy: 0.6434, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_04h_41m_48s/ResNet18-Cifar20-seed9-ret25-13-best.pth
Training Epoch: 14 [256/46200]	Loss: 0.8938	LR: 0.100000
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Training Epoch: 14 [46200/46200]	Loss: 1.0525	LR: 0.100000
Epoch 14 - Average Train Loss: 0.9020, Train Accuracy: 0.7078
Epoch 14 training time consumed: 28.02s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0046, Accuracy: 0.6431, Time consumed:0.94s
Training Epoch: 15 [256/46200]	Loss: 0.7698	LR: 0.020000
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Training Epoch: 15 [46200/46200]	Loss: 0.6575	LR: 0.020000
Epoch 15 - Average Train Loss: 0.6587, Train Accuracy: 0.7869
Epoch 15 training time consumed: 27.97s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0029, Accuracy: 0.7655, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_04h_41m_48s/ResNet18-Cifar20-seed9-ret25-15-best.pth
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Training Epoch: 16 [46200/46200]	Loss: 0.7987	LR: 0.020000
Epoch 16 - Average Train Loss: 0.5835, Train Accuracy: 0.8095
Epoch 16 training time consumed: 28.09s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0030, Accuracy: 0.7620, Time consumed:0.93s
Training Epoch: 17 [256/46200]	Loss: 0.5203	LR: 0.020000
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Training Epoch: 17 [46200/46200]	Loss: 0.4160	LR: 0.020000
Epoch 17 - Average Train Loss: 0.5445, Train Accuracy: 0.8215
Epoch 17 training time consumed: 28.18s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0029, Accuracy: 0.7670, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_04h_41m_48s/ResNet18-Cifar20-seed9-ret25-17-best.pth
Training Epoch: 18 [256/46200]	Loss: 0.4724	LR: 0.020000
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Training Epoch: 18 [46200/46200]	Loss: 0.5132	LR: 0.020000
Epoch 18 - Average Train Loss: 0.5201, Train Accuracy: 0.8286
Epoch 18 training time consumed: 28.03s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0030, Accuracy: 0.7722, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_04h_41m_48s/ResNet18-Cifar20-seed9-ret25-18-best.pth
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Training Epoch: 19 [36608/46200]	Loss: 0.3952	LR: 0.020000
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Training Epoch: 19 [46080/46200]	Loss: 0.5921	LR: 0.020000
Training Epoch: 19 [46200/46200]	Loss: 0.4475	LR: 0.020000
Epoch 19 - Average Train Loss: 0.4904, Train Accuracy: 0.8395
Epoch 19 training time consumed: 28.37s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0030, Accuracy: 0.7722, Time consumed:0.94s
Training Epoch: 20 [256/46200]	Loss: 0.4051	LR: 0.020000
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Training Epoch: 20 [46200/46200]	Loss: 0.4740	LR: 0.020000
Epoch 20 - Average Train Loss: 0.4695, Train Accuracy: 0.8456
Epoch 20 training time consumed: 27.88s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0029, Accuracy: 0.7790, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_04h_41m_48s/ResNet18-Cifar20-seed9-ret25-20-best.pth
Training Epoch: 21 [256/46200]	Loss: 0.4647	LR: 0.020000
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Training Epoch: 21 [768/46200]	Loss: 0.5425	LR: 0.020000
Training Epoch: 21 [1024/46200]	Loss: 0.4092	LR: 0.020000
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Training Epoch: 21 [1536/46200]	Loss: 0.4404	LR: 0.020000
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Training Epoch: 21 [16384/46200]	Loss: 0.4074	LR: 0.020000
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Training Epoch: 21 [16896/46200]	Loss: 0.4659	LR: 0.020000
Training Epoch: 21 [17152/46200]	Loss: 0.4527	LR: 0.020000
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Training Epoch: 21 [19200/46200]	Loss: 0.4192	LR: 0.020000
Training Epoch: 21 [19456/46200]	Loss: 0.4445	LR: 0.020000
Training Epoch: 21 [19712/46200]	Loss: 0.4041	LR: 0.020000
Training Epoch: 21 [19968/46200]	Loss: 0.5025	LR: 0.020000
Training Epoch: 21 [20224/46200]	Loss: 0.4693	LR: 0.020000
Training Epoch: 21 [20480/46200]	Loss: 0.4202	LR: 0.020000
Training Epoch: 21 [20736/46200]	Loss: 0.4606	LR: 0.020000
Training Epoch: 21 [20992/46200]	Loss: 0.4254	LR: 0.020000
Training Epoch: 21 [21248/46200]	Loss: 0.4701	LR: 0.020000
Training Epoch: 21 [21504/46200]	Loss: 0.4540	LR: 0.020000
Training Epoch: 21 [21760/46200]	Loss: 0.4914	LR: 0.020000
Training Epoch: 21 [22016/46200]	Loss: 0.3757	LR: 0.020000
Training Epoch: 21 [22272/46200]	Loss: 0.4136	LR: 0.020000
Training Epoch: 21 [22528/46200]	Loss: 0.4525	LR: 0.020000
Training Epoch: 21 [22784/46200]	Loss: 0.4807	LR: 0.020000
Training Epoch: 21 [23040/46200]	Loss: 0.5260	LR: 0.020000
Training Epoch: 21 [23296/46200]	Loss: 0.3459	LR: 0.020000
Training Epoch: 21 [23552/46200]	Loss: 0.3861	LR: 0.020000
Training Epoch: 21 [23808/46200]	Loss: 0.4735	LR: 0.020000
Training Epoch: 21 [24064/46200]	Loss: 0.3492	LR: 0.020000
Training Epoch: 21 [24320/46200]	Loss: 0.4073	LR: 0.020000
Training Epoch: 21 [24576/46200]	Loss: 0.4450	LR: 0.020000
Training Epoch: 21 [24832/46200]	Loss: 0.4912	LR: 0.020000
Training Epoch: 21 [25088/46200]	Loss: 0.3805	LR: 0.020000
Training Epoch: 21 [25344/46200]	Loss: 0.4084	LR: 0.020000
Training Epoch: 21 [25600/46200]	Loss: 0.4632	LR: 0.020000
Training Epoch: 21 [25856/46200]	Loss: 0.4760	LR: 0.020000
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Training Epoch: 21 [26368/46200]	Loss: 0.4451	LR: 0.020000
Training Epoch: 21 [26624/46200]	Loss: 0.4252	LR: 0.020000
Training Epoch: 21 [26880/46200]	Loss: 0.5143	LR: 0.020000
Training Epoch: 21 [27136/46200]	Loss: 0.4394	LR: 0.020000
Training Epoch: 21 [27392/46200]	Loss: 0.4177	LR: 0.020000
Training Epoch: 21 [27648/46200]	Loss: 0.3812	LR: 0.020000
Training Epoch: 21 [27904/46200]	Loss: 0.3724	LR: 0.020000
Training Epoch: 21 [28160/46200]	Loss: 0.3830	LR: 0.020000
Training Epoch: 21 [28416/46200]	Loss: 0.4806	LR: 0.020000
Training Epoch: 21 [28672/46200]	Loss: 0.5120	LR: 0.020000
Training Epoch: 21 [28928/46200]	Loss: 0.4707	LR: 0.020000
Training Epoch: 21 [29184/46200]	Loss: 0.5372	LR: 0.020000
Training Epoch: 21 [29440/46200]	Loss: 0.3893	LR: 0.020000
Training Epoch: 21 [29696/46200]	Loss: 0.5448	LR: 0.020000
Training Epoch: 21 [29952/46200]	Loss: 0.4118	LR: 0.020000
Training Epoch: 21 [30208/46200]	Loss: 0.4093	LR: 0.020000
Training Epoch: 21 [30464/46200]	Loss: 0.3686	LR: 0.020000
Training Epoch: 21 [30720/46200]	Loss: 0.4247	LR: 0.020000
Training Epoch: 21 [30976/46200]	Loss: 0.4444	LR: 0.020000
Training Epoch: 21 [31232/46200]	Loss: 0.4602	LR: 0.020000
Training Epoch: 21 [31488/46200]	Loss: 0.5099	LR: 0.020000
Training Epoch: 21 [31744/46200]	Loss: 0.4807	LR: 0.020000
Training Epoch: 21 [32000/46200]	Loss: 0.5595	LR: 0.020000
Training Epoch: 21 [32256/46200]	Loss: 0.3454	LR: 0.020000
Training Epoch: 21 [32512/46200]	Loss: 0.4888	LR: 0.020000
Training Epoch: 21 [32768/46200]	Loss: 0.4721	LR: 0.020000
Training Epoch: 21 [33024/46200]	Loss: 0.4461	LR: 0.020000
Training Epoch: 21 [33280/46200]	Loss: 0.5052	LR: 0.020000
Training Epoch: 21 [33536/46200]	Loss: 0.4821	LR: 0.020000
Training Epoch: 21 [33792/46200]	Loss: 0.5209	LR: 0.020000
Training Epoch: 21 [34048/46200]	Loss: 0.5338	LR: 0.020000
Training Epoch: 21 [34304/46200]	Loss: 0.5237	LR: 0.020000
Training Epoch: 21 [34560/46200]	Loss: 0.4048	LR: 0.020000
Training Epoch: 21 [34816/46200]	Loss: 0.4844	LR: 0.020000
Training Epoch: 21 [35072/46200]	Loss: 0.5263	LR: 0.020000
Training Epoch: 21 [35328/46200]	Loss: 0.4892	LR: 0.020000
Training Epoch: 21 [35584/46200]	Loss: 0.4340	LR: 0.020000
Training Epoch: 21 [35840/46200]	Loss: 0.3869	LR: 0.020000
Training Epoch: 21 [36096/46200]	Loss: 0.4919	LR: 0.020000
Training Epoch: 21 [36352/46200]	Loss: 0.4108	LR: 0.020000
Training Epoch: 21 [36608/46200]	Loss: 0.5810	LR: 0.020000
Training Epoch: 21 [36864/46200]	Loss: 0.4744	LR: 0.020000
Training Epoch: 21 [37120/46200]	Loss: 0.4865	LR: 0.020000
Training Epoch: 21 [37376/46200]	Loss: 0.4249	LR: 0.020000
Training Epoch: 21 [37632/46200]	Loss: 0.4733	LR: 0.020000
Training Epoch: 21 [37888/46200]	Loss: 0.4485	LR: 0.020000
Training Epoch: 21 [38144/46200]	Loss: 0.4060	LR: 0.020000
Training Epoch: 21 [38400/46200]	Loss: 0.4491	LR: 0.020000
Training Epoch: 21 [38656/46200]	Loss: 0.4461	LR: 0.020000
Training Epoch: 21 [38912/46200]	Loss: 0.3870	LR: 0.020000
Training Epoch: 21 [39168/46200]	Loss: 0.3740	LR: 0.020000
Training Epoch: 21 [39424/46200]	Loss: 0.4734	LR: 0.020000
Training Epoch: 21 [39680/46200]	Loss: 0.5374	LR: 0.020000
Training Epoch: 21 [39936/46200]	Loss: 0.4699	LR: 0.020000
Training Epoch: 21 [40192/46200]	Loss: 0.4933	LR: 0.020000
Training Epoch: 21 [40448/46200]	Loss: 0.5516	LR: 0.020000
Training Epoch: 21 [40704/46200]	Loss: 0.5412	LR: 0.020000
Training Epoch: 21 [40960/46200]	Loss: 0.5695	LR: 0.020000
Training Epoch: 21 [41216/46200]	Loss: 0.5398	LR: 0.020000
Training Epoch: 21 [41472/46200]	Loss: 0.4376	LR: 0.020000
Training Epoch: 21 [41728/46200]	Loss: 0.5343	LR: 0.020000
Training Epoch: 21 [41984/46200]	Loss: 0.4156	LR: 0.020000
Training Epoch: 21 [42240/46200]	Loss: 0.4084	LR: 0.020000
Training Epoch: 21 [42496/46200]	Loss: 0.3897	LR: 0.020000
Training Epoch: 21 [42752/46200]	Loss: 0.4719	LR: 0.020000
Training Epoch: 21 [43008/46200]	Loss: 0.5417	LR: 0.020000
Training Epoch: 21 [43264/46200]	Loss: 0.4090	LR: 0.020000
Training Epoch: 21 [43520/46200]	Loss: 0.5415	LR: 0.020000
Training Epoch: 21 [43776/46200]	Loss: 0.4928	LR: 0.020000
Training Epoch: 21 [44032/46200]	Loss: 0.4803	LR: 0.020000
Training Epoch: 21 [44288/46200]	Loss: 0.4286	LR: 0.020000
Training Epoch: 21 [44544/46200]	Loss: 0.5056	LR: 0.020000
Training Epoch: 21 [44800/46200]	Loss: 0.4770	LR: 0.020000
Training Epoch: 21 [45056/46200]	Loss: 0.3704	LR: 0.020000
Training Epoch: 21 [45312/46200]	Loss: 0.4902	LR: 0.020000
Training Epoch: 21 [45568/46200]	Loss: 0.4553	LR: 0.020000
Training Epoch: 21 [45824/46200]	Loss: 0.4078	LR: 0.020000
Training Epoch: 21 [46080/46200]	Loss: 0.5568	LR: 0.020000
Training Epoch: 21 [46200/46200]	Loss: 0.2557	LR: 0.020000
Epoch 21 - Average Train Loss: 0.4521, Train Accuracy: 0.8515
Epoch 21 training time consumed: 27.91s
Evaluating Network.....
Test set: Epoch: 21, Average loss: 0.0030, Accuracy: 0.7713, Time consumed:0.89s
Training Epoch: 22 [256/46200]	Loss: 0.4096	LR: 0.020000
Training Epoch: 22 [512/46200]	Loss: 0.3242	LR: 0.020000
Training Epoch: 22 [768/46200]	Loss: 0.4092	LR: 0.020000
Training Epoch: 22 [1024/46200]	Loss: 0.3676	LR: 0.020000
Training Epoch: 22 [1280/46200]	Loss: 0.3605	LR: 0.020000
Training Epoch: 22 [1536/46200]	Loss: 0.4744	LR: 0.020000
Training Epoch: 22 [1792/46200]	Loss: 0.3240	LR: 0.020000
Training Epoch: 22 [2048/46200]	Loss: 0.4317	LR: 0.020000
Training Epoch: 22 [2304/46200]	Loss: 0.3932	LR: 0.020000
Training Epoch: 22 [2560/46200]	Loss: 0.4252	LR: 0.020000
Training Epoch: 22 [2816/46200]	Loss: 0.4189	LR: 0.020000
Training Epoch: 22 [3072/46200]	Loss: 0.3943	LR: 0.020000
Training Epoch: 22 [3328/46200]	Loss: 0.3511	LR: 0.020000
Training Epoch: 22 [3584/46200]	Loss: 0.4281	LR: 0.020000
Training Epoch: 22 [3840/46200]	Loss: 0.3435	LR: 0.020000
Training Epoch: 22 [4096/46200]	Loss: 0.3530	LR: 0.020000
Training Epoch: 22 [4352/46200]	Loss: 0.4499	LR: 0.020000
Training Epoch: 22 [4608/46200]	Loss: 0.4831	LR: 0.020000
Training Epoch: 22 [4864/46200]	Loss: 0.5070	LR: 0.020000
Training Epoch: 22 [5120/46200]	Loss: 0.4131	LR: 0.020000
Training Epoch: 22 [5376/46200]	Loss: 0.4000	LR: 0.020000
Training Epoch: 22 [5632/46200]	Loss: 0.4823	LR: 0.020000
Training Epoch: 22 [5888/46200]	Loss: 0.3323	LR: 0.020000
Training Epoch: 22 [6144/46200]	Loss: 0.4283	LR: 0.020000
Training Epoch: 22 [6400/46200]	Loss: 0.4121	LR: 0.020000
Training Epoch: 22 [6656/46200]	Loss: 0.4134	LR: 0.020000
Training Epoch: 22 [6912/46200]	Loss: 0.4030	LR: 0.020000
Training Epoch: 22 [7168/46200]	Loss: 0.3692	LR: 0.020000
Training Epoch: 22 [7424/46200]	Loss: 0.4714	LR: 0.020000
Training Epoch: 22 [7680/46200]	Loss: 0.4477	LR: 0.020000
Training Epoch: 22 [7936/46200]	Loss: 0.4180	LR: 0.020000
Training Epoch: 22 [8192/46200]	Loss: 0.4237	LR: 0.020000
Training Epoch: 22 [8448/46200]	Loss: 0.4558	LR: 0.020000
Training Epoch: 22 [8704/46200]	Loss: 0.3641	LR: 0.020000
Training Epoch: 22 [8960/46200]	Loss: 0.3415	LR: 0.020000
Training Epoch: 22 [9216/46200]	Loss: 0.4612	LR: 0.020000
Training Epoch: 22 [9472/46200]	Loss: 0.4413	LR: 0.020000
Training Epoch: 22 [9728/46200]	Loss: 0.3929	LR: 0.020000
Training Epoch: 22 [9984/46200]	Loss: 0.3708	LR: 0.020000
Training Epoch: 22 [10240/46200]	Loss: 0.4784	LR: 0.020000
Training Epoch: 22 [10496/46200]	Loss: 0.3589	LR: 0.020000
Training Epoch: 22 [10752/46200]	Loss: 0.4659	LR: 0.020000
Training Epoch: 22 [11008/46200]	Loss: 0.3362	LR: 0.020000
Training Epoch: 22 [11264/46200]	Loss: 0.5643	LR: 0.020000
Training Epoch: 22 [11520/46200]	Loss: 0.4282	LR: 0.020000
Training Epoch: 22 [11776/46200]	Loss: 0.3547	LR: 0.020000
Training Epoch: 22 [12032/46200]	Loss: 0.4324	LR: 0.020000
Training Epoch: 22 [12288/46200]	Loss: 0.3341	LR: 0.020000
Training Epoch: 22 [12544/46200]	Loss: 0.4280	LR: 0.020000
Training Epoch: 22 [12800/46200]	Loss: 0.4105	LR: 0.020000
Training Epoch: 22 [13056/46200]	Loss: 0.4309	LR: 0.020000
Training Epoch: 22 [13312/46200]	Loss: 0.5056	LR: 0.020000
Training Epoch: 22 [13568/46200]	Loss: 0.3809	LR: 0.020000
Training Epoch: 22 [13824/46200]	Loss: 0.4109	LR: 0.020000
Training Epoch: 22 [14080/46200]	Loss: 0.4137	LR: 0.020000
Training Epoch: 22 [14336/46200]	Loss: 0.5447	LR: 0.020000
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Training Epoch: 22 [14848/46200]	Loss: 0.4230	LR: 0.020000
Training Epoch: 22 [15104/46200]	Loss: 0.4673	LR: 0.020000
Training Epoch: 22 [15360/46200]	Loss: 0.4724	LR: 0.020000
Training Epoch: 22 [15616/46200]	Loss: 0.3971	LR: 0.020000
Training Epoch: 22 [15872/46200]	Loss: 0.4419	LR: 0.020000
Training Epoch: 22 [16128/46200]	Loss: 0.3183	LR: 0.020000
Training Epoch: 22 [16384/46200]	Loss: 0.4919	LR: 0.020000
Training Epoch: 22 [16640/46200]	Loss: 0.4805	LR: 0.020000
Training Epoch: 22 [16896/46200]	Loss: 0.5194	LR: 0.020000
Training Epoch: 22 [17152/46200]	Loss: 0.3551	LR: 0.020000
Training Epoch: 22 [17408/46200]	Loss: 0.3913	LR: 0.020000
Training Epoch: 22 [17664/46200]	Loss: 0.4542	LR: 0.020000
Training Epoch: 22 [17920/46200]	Loss: 0.3989	LR: 0.020000
Training Epoch: 22 [18176/46200]	Loss: 0.4544	LR: 0.020000
Training Epoch: 22 [18432/46200]	Loss: 0.3988	LR: 0.020000
Training Epoch: 22 [18688/46200]	Loss: 0.4146	LR: 0.020000
Training Epoch: 22 [18944/46200]	Loss: 0.3847	LR: 0.020000
Training Epoch: 22 [19200/46200]	Loss: 0.3941	LR: 0.020000
Training Epoch: 22 [19456/46200]	Loss: 0.3467	LR: 0.020000
Training Epoch: 22 [19712/46200]	Loss: 0.4573	LR: 0.020000
Training Epoch: 22 [19968/46200]	Loss: 0.3460	LR: 0.020000
Training Epoch: 22 [20224/46200]	Loss: 0.4496	LR: 0.020000
Training Epoch: 22 [20480/46200]	Loss: 0.4645	LR: 0.020000
Training Epoch: 22 [20736/46200]	Loss: 0.5348	LR: 0.020000
Training Epoch: 22 [20992/46200]	Loss: 0.4160	LR: 0.020000
Training Epoch: 22 [21248/46200]	Loss: 0.3480	LR: 0.020000
Training Epoch: 22 [21504/46200]	Loss: 0.3292	LR: 0.020000
Training Epoch: 22 [21760/46200]	Loss: 0.4341	LR: 0.020000
Training Epoch: 22 [22016/46200]	Loss: 0.3854	LR: 0.020000
Training Epoch: 22 [22272/46200]	Loss: 0.4921	LR: 0.020000
Training Epoch: 22 [22528/46200]	Loss: 0.4520	LR: 0.020000
Training Epoch: 22 [22784/46200]	Loss: 0.3997	LR: 0.020000
Training Epoch: 22 [23040/46200]	Loss: 0.3699	LR: 0.020000
Training Epoch: 22 [23296/46200]	Loss: 0.4038	LR: 0.020000
Training Epoch: 22 [23552/46200]	Loss: 0.4685	LR: 0.020000
Training Epoch: 22 [23808/46200]	Loss: 0.4347	LR: 0.020000
Training Epoch: 22 [24064/46200]	Loss: 0.3976	LR: 0.020000
Training Epoch: 22 [24320/46200]	Loss: 0.4329	LR: 0.020000
Training Epoch: 22 [24576/46200]	Loss: 0.4302	LR: 0.020000
Training Epoch: 22 [24832/46200]	Loss: 0.4712	LR: 0.020000
Training Epoch: 22 [25088/46200]	Loss: 0.3843	LR: 0.020000
Training Epoch: 22 [25344/46200]	Loss: 0.4469	LR: 0.020000
Training Epoch: 22 [25600/46200]	Loss: 0.4026	LR: 0.020000
Training Epoch: 22 [25856/46200]	Loss: 0.4557	LR: 0.020000
Training Epoch: 22 [26112/46200]	Loss: 0.4163	LR: 0.020000
Training Epoch: 22 [26368/46200]	Loss: 0.3796	LR: 0.020000
Training Epoch: 22 [26624/46200]	Loss: 0.3669	LR: 0.020000
Training Epoch: 22 [26880/46200]	Loss: 0.4054	LR: 0.020000
Training Epoch: 22 [27136/46200]	Loss: 0.4216	LR: 0.020000
Training Epoch: 22 [27392/46200]	Loss: 0.3899	LR: 0.020000
Training Epoch: 22 [27648/46200]	Loss: 0.5085	LR: 0.020000
Training Epoch: 22 [27904/46200]	Loss: 0.5391	LR: 0.020000
Training Epoch: 22 [28160/46200]	Loss: 0.4626	LR: 0.020000
Training Epoch: 22 [28416/46200]	Loss: 0.4211	LR: 0.020000
Training Epoch: 22 [28672/46200]	Loss: 0.4136	LR: 0.020000
Training Epoch: 22 [28928/46200]	Loss: 0.4103	LR: 0.020000
Training Epoch: 22 [29184/46200]	Loss: 0.3305	LR: 0.020000
Training Epoch: 22 [29440/46200]	Loss: 0.4847	LR: 0.020000
Training Epoch: 22 [29696/46200]	Loss: 0.4248	LR: 0.020000
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Training Epoch: 22 [30208/46200]	Loss: 0.5407	LR: 0.020000
Training Epoch: 22 [30464/46200]	Loss: 0.4895	LR: 0.020000
Training Epoch: 22 [30720/46200]	Loss: 0.3768	LR: 0.020000
Training Epoch: 22 [30976/46200]	Loss: 0.3650	LR: 0.020000
Training Epoch: 22 [31232/46200]	Loss: 0.4843	LR: 0.020000
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Training Epoch: 22 [32000/46200]	Loss: 0.4910	LR: 0.020000
Training Epoch: 22 [32256/46200]	Loss: 0.3805	LR: 0.020000
Training Epoch: 22 [32512/46200]	Loss: 0.3682	LR: 0.020000
Training Epoch: 22 [32768/46200]	Loss: 0.4451	LR: 0.020000
Training Epoch: 22 [33024/46200]	Loss: 0.4797	LR: 0.020000
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Training Epoch: 22 [34816/46200]	Loss: 0.4998	LR: 0.020000
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Training Epoch: 22 [35328/46200]	Loss: 0.3914	LR: 0.020000
Training Epoch: 22 [35584/46200]	Loss: 0.4733	LR: 0.020000
Training Epoch: 22 [35840/46200]	Loss: 0.3981	LR: 0.020000
Training Epoch: 22 [36096/46200]	Loss: 0.3891	LR: 0.020000
Training Epoch: 22 [36352/46200]	Loss: 0.4899	LR: 0.020000
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Training Epoch: 22 [36864/46200]	Loss: 0.4335	LR: 0.020000
Training Epoch: 22 [37120/46200]	Loss: 0.3616	LR: 0.020000
Training Epoch: 22 [37376/46200]	Loss: 0.5798	LR: 0.020000
Training Epoch: 22 [37632/46200]	Loss: 0.5291	LR: 0.020000
Training Epoch: 22 [37888/46200]	Loss: 0.4237	LR: 0.020000
Training Epoch: 22 [38144/46200]	Loss: 0.4314	LR: 0.020000
Training Epoch: 22 [38400/46200]	Loss: 0.4315	LR: 0.020000
Training Epoch: 22 [38656/46200]	Loss: 0.4159	LR: 0.020000
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Training Epoch: 22 [39168/46200]	Loss: 0.4703	LR: 0.020000
Training Epoch: 22 [39424/46200]	Loss: 0.5103	LR: 0.020000
Training Epoch: 22 [39680/46200]	Loss: 0.4992	LR: 0.020000
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Training Epoch: 22 [40192/46200]	Loss: 0.4252	LR: 0.020000
Training Epoch: 22 [40448/46200]	Loss: 0.3892	LR: 0.020000
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Training Epoch: 22 [43776/46200]	Loss: 0.4061	LR: 0.020000
Training Epoch: 22 [44032/46200]	Loss: 0.5242	LR: 0.020000
Training Epoch: 22 [44288/46200]	Loss: 0.4016	LR: 0.020000
Training Epoch: 22 [44544/46200]	Loss: 0.4749	LR: 0.020000
Training Epoch: 22 [44800/46200]	Loss: 0.3741	LR: 0.020000
Training Epoch: 22 [45056/46200]	Loss: 0.4267	LR: 0.020000
Training Epoch: 22 [45312/46200]	Loss: 0.5118	LR: 0.020000
Training Epoch: 22 [45568/46200]	Loss: 0.3429	LR: 0.020000
Training Epoch: 22 [45824/46200]	Loss: 0.4718	LR: 0.020000
Training Epoch: 22 [46080/46200]	Loss: 0.4576	LR: 0.020000
Training Epoch: 22 [46200/46200]	Loss: 0.4160	LR: 0.020000
Epoch 22 - Average Train Loss: 0.4296, Train Accuracy: 0.8585
Epoch 22 training time consumed: 28.07s
Evaluating Network.....
Test set: Epoch: 22, Average loss: 0.0031, Accuracy: 0.7636, Time consumed:0.90s
Training Epoch: 23 [256/46200]	Loss: 0.4359	LR: 0.020000
Training Epoch: 23 [512/46200]	Loss: 0.4749	LR: 0.020000
Training Epoch: 23 [768/46200]	Loss: 0.3366	LR: 0.020000
Training Epoch: 23 [1024/46200]	Loss: 0.3879	LR: 0.020000
Training Epoch: 23 [1280/46200]	Loss: 0.3874	LR: 0.020000
Training Epoch: 23 [1536/46200]	Loss: 0.4624	LR: 0.020000
Training Epoch: 23 [1792/46200]	Loss: 0.3881	LR: 0.020000
Training Epoch: 23 [2048/46200]	Loss: 0.3951	LR: 0.020000
Training Epoch: 23 [2304/46200]	Loss: 0.3478	LR: 0.020000
Training Epoch: 23 [2560/46200]	Loss: 0.4584	LR: 0.020000
Training Epoch: 23 [2816/46200]	Loss: 0.3552	LR: 0.020000
Training Epoch: 23 [3072/46200]	Loss: 0.3203	LR: 0.020000
Training Epoch: 23 [3328/46200]	Loss: 0.3930	LR: 0.020000
Training Epoch: 23 [3584/46200]	Loss: 0.3631	LR: 0.020000
Training Epoch: 23 [3840/46200]	Loss: 0.4124	LR: 0.020000
Training Epoch: 23 [4096/46200]	Loss: 0.4425	LR: 0.020000
Training Epoch: 23 [4352/46200]	Loss: 0.3388	LR: 0.020000
Training Epoch: 23 [4608/46200]	Loss: 0.2940	LR: 0.020000
Training Epoch: 23 [4864/46200]	Loss: 0.3694	LR: 0.020000
Training Epoch: 23 [5120/46200]	Loss: 0.3781	LR: 0.020000
Training Epoch: 23 [5376/46200]	Loss: 0.3050	LR: 0.020000
Training Epoch: 23 [5632/46200]	Loss: 0.3552	LR: 0.020000
Training Epoch: 23 [5888/46200]	Loss: 0.3956	LR: 0.020000
Training Epoch: 23 [6144/46200]	Loss: 0.3698	LR: 0.020000
Training Epoch: 23 [6400/46200]	Loss: 0.4325	LR: 0.020000
Training Epoch: 23 [6656/46200]	Loss: 0.3980	LR: 0.020000
Training Epoch: 23 [6912/46200]	Loss: 0.4185	LR: 0.020000
Training Epoch: 23 [7168/46200]	Loss: 0.3065	LR: 0.020000
Training Epoch: 23 [7424/46200]	Loss: 0.4360	LR: 0.020000
Training Epoch: 23 [7680/46200]	Loss: 0.4014	LR: 0.020000
Training Epoch: 23 [7936/46200]	Loss: 0.3999	LR: 0.020000
Training Epoch: 23 [8192/46200]	Loss: 0.4161	LR: 0.020000
Training Epoch: 23 [8448/46200]	Loss: 0.4904	LR: 0.020000
Training Epoch: 23 [8704/46200]	Loss: 0.4040	LR: 0.020000
Training Epoch: 23 [8960/46200]	Loss: 0.3508	LR: 0.020000
Training Epoch: 23 [9216/46200]	Loss: 0.4789	LR: 0.020000
Training Epoch: 23 [9472/46200]	Loss: 0.3239	LR: 0.020000
Training Epoch: 23 [9728/46200]	Loss: 0.3715	LR: 0.020000
Training Epoch: 23 [9984/46200]	Loss: 0.3764	LR: 0.020000
Training Epoch: 23 [10240/46200]	Loss: 0.4078	LR: 0.020000
Training Epoch: 23 [10496/46200]	Loss: 0.4142	LR: 0.020000
Training Epoch: 23 [10752/46200]	Loss: 0.3310	LR: 0.020000
Training Epoch: 23 [11008/46200]	Loss: 0.3670	LR: 0.020000
Training Epoch: 23 [11264/46200]	Loss: 0.4457	LR: 0.020000
Training Epoch: 23 [11520/46200]	Loss: 0.4201	LR: 0.020000
Training Epoch: 23 [11776/46200]	Loss: 0.3647	LR: 0.020000
Training Epoch: 23 [12032/46200]	Loss: 0.3190	LR: 0.020000
Training Epoch: 23 [12288/46200]	Loss: 0.4222	LR: 0.020000
Training Epoch: 23 [12544/46200]	Loss: 0.4304	LR: 0.020000
Training Epoch: 23 [12800/46200]	Loss: 0.4567	LR: 0.020000
Training Epoch: 23 [13056/46200]	Loss: 0.4175	LR: 0.020000
Training Epoch: 23 [13312/46200]	Loss: 0.3445	LR: 0.020000
Training Epoch: 23 [13568/46200]	Loss: 0.4292	LR: 0.020000
Training Epoch: 23 [13824/46200]	Loss: 0.4530	LR: 0.020000
Training Epoch: 23 [14080/46200]	Loss: 0.3732	LR: 0.020000
Training Epoch: 23 [14336/46200]	Loss: 0.4273	LR: 0.020000
Training Epoch: 23 [14592/46200]	Loss: 0.3956	LR: 0.020000
Training Epoch: 23 [14848/46200]	Loss: 0.3972	LR: 0.020000
Training Epoch: 23 [15104/46200]	Loss: 0.3516	LR: 0.020000
Training Epoch: 23 [15360/46200]	Loss: 0.3977	LR: 0.020000
Training Epoch: 23 [15616/46200]	Loss: 0.4272	LR: 0.020000
Training Epoch: 23 [15872/46200]	Loss: 0.3365	LR: 0.020000
Training Epoch: 23 [16128/46200]	Loss: 0.4417	LR: 0.020000
Training Epoch: 23 [16384/46200]	Loss: 0.4202	LR: 0.020000
Training Epoch: 23 [16640/46200]	Loss: 0.4657	LR: 0.020000
Training Epoch: 23 [16896/46200]	Loss: 0.3287	LR: 0.020000
Training Epoch: 23 [17152/46200]	Loss: 0.3594	LR: 0.020000
Training Epoch: 23 [17408/46200]	Loss: 0.3921	LR: 0.020000
Training Epoch: 23 [17664/46200]	Loss: 0.3220	LR: 0.020000
Training Epoch: 23 [17920/46200]	Loss: 0.3655	LR: 0.020000
Training Epoch: 23 [18176/46200]	Loss: 0.3739	LR: 0.020000
Training Epoch: 23 [18432/46200]	Loss: 0.4664	LR: 0.020000
Training Epoch: 23 [18688/46200]	Loss: 0.4759	LR: 0.020000
Training Epoch: 23 [18944/46200]	Loss: 0.4206	LR: 0.020000
Training Epoch: 23 [19200/46200]	Loss: 0.3912	LR: 0.020000
Training Epoch: 23 [19456/46200]	Loss: 0.4277	LR: 0.020000
Training Epoch: 23 [19712/46200]	Loss: 0.4225	LR: 0.020000
Training Epoch: 23 [19968/46200]	Loss: 0.4596	LR: 0.020000
Training Epoch: 23 [20224/46200]	Loss: 0.3368	LR: 0.020000
Training Epoch: 23 [20480/46200]	Loss: 0.4281	LR: 0.020000
Training Epoch: 23 [20736/46200]	Loss: 0.3687	LR: 0.020000
Training Epoch: 23 [20992/46200]	Loss: 0.5022	LR: 0.020000
Training Epoch: 23 [21248/46200]	Loss: 0.3457	LR: 0.020000
Training Epoch: 23 [21504/46200]	Loss: 0.3236	LR: 0.020000
Training Epoch: 23 [21760/46200]	Loss: 0.3406	LR: 0.020000
Training Epoch: 23 [22016/46200]	Loss: 0.4035	LR: 0.020000
Training Epoch: 23 [22272/46200]	Loss: 0.4349	LR: 0.020000
Training Epoch: 23 [22528/46200]	Loss: 0.4891	LR: 0.020000
Training Epoch: 23 [22784/46200]	Loss: 0.4137	LR: 0.020000
Training Epoch: 23 [23040/46200]	Loss: 0.4096	LR: 0.020000
Training Epoch: 23 [23296/46200]	Loss: 0.4518	LR: 0.020000
Training Epoch: 23 [23552/46200]	Loss: 0.3501	LR: 0.020000
Training Epoch: 23 [23808/46200]	Loss: 0.4650	LR: 0.020000
Training Epoch: 23 [24064/46200]	Loss: 0.4312	LR: 0.020000
Training Epoch: 23 [24320/46200]	Loss: 0.4941	LR: 0.020000
Training Epoch: 23 [24576/46200]	Loss: 0.3505	LR: 0.020000
Training Epoch: 23 [24832/46200]	Loss: 0.4893	LR: 0.020000
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Training Epoch: 23 [26368/46200]	Loss: 0.4363	LR: 0.020000
Training Epoch: 23 [26624/46200]	Loss: 0.3828	LR: 0.020000
Training Epoch: 23 [26880/46200]	Loss: 0.3991	LR: 0.020000
Training Epoch: 23 [27136/46200]	Loss: 0.5124	LR: 0.020000
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Training Epoch: 23 [27904/46200]	Loss: 0.3959	LR: 0.020000
Training Epoch: 23 [28160/46200]	Loss: 0.5068	LR: 0.020000
Training Epoch: 23 [28416/46200]	Loss: 0.5914	LR: 0.020000
Training Epoch: 23 [28672/46200]	Loss: 0.4294	LR: 0.020000
Training Epoch: 23 [28928/46200]	Loss: 0.4054	LR: 0.020000
Training Epoch: 23 [29184/46200]	Loss: 0.4036	LR: 0.020000
Training Epoch: 23 [29440/46200]	Loss: 0.3882	LR: 0.020000
Training Epoch: 23 [29696/46200]	Loss: 0.4878	LR: 0.020000
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Training Epoch: 23 [30464/46200]	Loss: 0.4266	LR: 0.020000
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Training Epoch: 23 [30976/46200]	Loss: 0.3859	LR: 0.020000
Training Epoch: 23 [31232/46200]	Loss: 0.4851	LR: 0.020000
Training Epoch: 23 [31488/46200]	Loss: 0.3622	LR: 0.020000
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Training Epoch: 23 [34816/46200]	Loss: 0.3050	LR: 0.020000
Training Epoch: 23 [35072/46200]	Loss: 0.5118	LR: 0.020000
Training Epoch: 23 [35328/46200]	Loss: 0.5064	LR: 0.020000
Training Epoch: 23 [35584/46200]	Loss: 0.5749	LR: 0.020000
Training Epoch: 23 [35840/46200]	Loss: 0.3926	LR: 0.020000
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Training Epoch: 23 [36352/46200]	Loss: 0.3973	LR: 0.020000
Training Epoch: 23 [36608/46200]	Loss: 0.4271	LR: 0.020000
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Training Epoch: 23 [37376/46200]	Loss: 0.4849	LR: 0.020000
Training Epoch: 23 [37632/46200]	Loss: 0.4175	LR: 0.020000
Training Epoch: 23 [37888/46200]	Loss: 0.3520	LR: 0.020000
Training Epoch: 23 [38144/46200]	Loss: 0.5048	LR: 0.020000
Training Epoch: 23 [38400/46200]	Loss: 0.4361	LR: 0.020000
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Training Epoch: 23 [40192/46200]	Loss: 0.4284	LR: 0.020000
Training Epoch: 23 [40448/46200]	Loss: 0.4498	LR: 0.020000
Training Epoch: 23 [40704/46200]	Loss: 0.4791	LR: 0.020000
Training Epoch: 23 [40960/46200]	Loss: 0.4405	LR: 0.020000
Training Epoch: 23 [41216/46200]	Loss: 0.4109	LR: 0.020000
Training Epoch: 23 [41472/46200]	Loss: 0.5108	LR: 0.020000
Training Epoch: 23 [41728/46200]	Loss: 0.3885	LR: 0.020000
Training Epoch: 23 [41984/46200]	Loss: 0.3833	LR: 0.020000
Training Epoch: 23 [42240/46200]	Loss: 0.4508	LR: 0.020000
Training Epoch: 23 [42496/46200]	Loss: 0.4408	LR: 0.020000
Training Epoch: 23 [42752/46200]	Loss: 0.4106	LR: 0.020000
Training Epoch: 23 [43008/46200]	Loss: 0.4437	LR: 0.020000
Training Epoch: 23 [43264/46200]	Loss: 0.4184	LR: 0.020000
Training Epoch: 23 [43520/46200]	Loss: 0.4009	LR: 0.020000
Training Epoch: 23 [43776/46200]	Loss: 0.3768	LR: 0.020000
Training Epoch: 23 [44032/46200]	Loss: 0.3655	LR: 0.020000
Training Epoch: 23 [44288/46200]	Loss: 0.4118	LR: 0.020000
Training Epoch: 23 [44544/46200]	Loss: 0.4819	LR: 0.020000
Training Epoch: 23 [44800/46200]	Loss: 0.4945	LR: 0.020000
Training Epoch: 23 [45056/46200]	Loss: 0.5379	LR: 0.020000
Training Epoch: 23 [45312/46200]	Loss: 0.4278	LR: 0.020000
Training Epoch: 23 [45568/46200]	Loss: 0.4193	LR: 0.020000
Training Epoch: 23 [45824/46200]	Loss: 0.4520	LR: 0.020000
Training Epoch: 23 [46080/46200]	Loss: 0.3820	LR: 0.020000
Training Epoch: 23 [46200/46200]	Loss: 0.3705	LR: 0.020000
Epoch 23 - Average Train Loss: 0.4158, Train Accuracy: 0.8623
Epoch 23 training time consumed: 27.92s
Evaluating Network.....
Test set: Epoch: 23, Average loss: 0.0030, Accuracy: 0.7733, Time consumed:0.98s
Training Epoch: 24 [256/46200]	Loss: 0.3145	LR: 0.020000
Training Epoch: 24 [512/46200]	Loss: 0.4037	LR: 0.020000
Training Epoch: 24 [768/46200]	Loss: 0.3740	LR: 0.020000
Training Epoch: 24 [1024/46200]	Loss: 0.3786	LR: 0.020000
Training Epoch: 24 [1280/46200]	Loss: 0.3646	LR: 0.020000
Training Epoch: 24 [1536/46200]	Loss: 0.3451	LR: 0.020000
Training Epoch: 24 [1792/46200]	Loss: 0.4017	LR: 0.020000
Training Epoch: 24 [2048/46200]	Loss: 0.3608	LR: 0.020000
Training Epoch: 24 [2304/46200]	Loss: 0.3406	LR: 0.020000
Training Epoch: 24 [2560/46200]	Loss: 0.3724	LR: 0.020000
Training Epoch: 24 [2816/46200]	Loss: 0.2735	LR: 0.020000
Training Epoch: 24 [3072/46200]	Loss: 0.2745	LR: 0.020000
Training Epoch: 24 [3328/46200]	Loss: 0.3986	LR: 0.020000
Training Epoch: 24 [3584/46200]	Loss: 0.3146	LR: 0.020000
Training Epoch: 24 [3840/46200]	Loss: 0.4439	LR: 0.020000
Training Epoch: 24 [4096/46200]	Loss: 0.4437	LR: 0.020000
Training Epoch: 24 [4352/46200]	Loss: 0.3100	LR: 0.020000
Training Epoch: 24 [4608/46200]	Loss: 0.4134	LR: 0.020000
Training Epoch: 24 [4864/46200]	Loss: 0.4045	LR: 0.020000
Training Epoch: 24 [5120/46200]	Loss: 0.3525	LR: 0.020000
Training Epoch: 24 [5376/46200]	Loss: 0.3770	LR: 0.020000
Training Epoch: 24 [5632/46200]	Loss: 0.3674	LR: 0.020000
Training Epoch: 24 [5888/46200]	Loss: 0.3952	LR: 0.020000
Training Epoch: 24 [6144/46200]	Loss: 0.2838	LR: 0.020000
Training Epoch: 24 [6400/46200]	Loss: 0.3774	LR: 0.020000
Training Epoch: 24 [6656/46200]	Loss: 0.2983	LR: 0.020000
Training Epoch: 24 [6912/46200]	Loss: 0.3212	LR: 0.020000
Training Epoch: 24 [7168/46200]	Loss: 0.4973	LR: 0.020000
Training Epoch: 24 [7424/46200]	Loss: 0.3574	LR: 0.020000
Training Epoch: 24 [7680/46200]	Loss: 0.3777	LR: 0.020000
Training Epoch: 24 [7936/46200]	Loss: 0.3906	LR: 0.020000
Training Epoch: 24 [8192/46200]	Loss: 0.4366	LR: 0.020000
Training Epoch: 24 [8448/46200]	Loss: 0.2414	LR: 0.020000
Training Epoch: 24 [8704/46200]	Loss: 0.3920	LR: 0.020000
Training Epoch: 24 [8960/46200]	Loss: 0.3830	LR: 0.020000
Training Epoch: 24 [9216/46200]	Loss: 0.4238	LR: 0.020000
Training Epoch: 24 [9472/46200]	Loss: 0.4875	LR: 0.020000
Training Epoch: 24 [9728/46200]	Loss: 0.3516	LR: 0.020000
Training Epoch: 24 [9984/46200]	Loss: 0.3291	LR: 0.020000
Training Epoch: 24 [10240/46200]	Loss: 0.2959	LR: 0.020000
Training Epoch: 24 [10496/46200]	Loss: 0.3663	LR: 0.020000
Training Epoch: 24 [10752/46200]	Loss: 0.3877	LR: 0.020000
Training Epoch: 24 [11008/46200]	Loss: 0.3697	LR: 0.020000
Training Epoch: 24 [11264/46200]	Loss: 0.3948	LR: 0.020000
Training Epoch: 24 [11520/46200]	Loss: 0.3648	LR: 0.020000
Training Epoch: 24 [11776/46200]	Loss: 0.4181	LR: 0.020000
Training Epoch: 24 [12032/46200]	Loss: 0.3844	LR: 0.020000
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Training Epoch: 24 [12544/46200]	Loss: 0.3121	LR: 0.020000
Training Epoch: 24 [12800/46200]	Loss: 0.3677	LR: 0.020000
Training Epoch: 24 [13056/46200]	Loss: 0.3428	LR: 0.020000
Training Epoch: 24 [13312/46200]	Loss: 0.4061	LR: 0.020000
Training Epoch: 24 [13568/46200]	Loss: 0.3838	LR: 0.020000
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Training Epoch: 24 [14080/46200]	Loss: 0.4507	LR: 0.020000
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Training Epoch: 24 [15104/46200]	Loss: 0.4640	LR: 0.020000
Training Epoch: 24 [15360/46200]	Loss: 0.3597	LR: 0.020000
Training Epoch: 24 [15616/46200]	Loss: 0.3186	LR: 0.020000
Training Epoch: 24 [15872/46200]	Loss: 0.2820	LR: 0.020000
Training Epoch: 24 [16128/46200]	Loss: 0.3376	LR: 0.020000
Training Epoch: 24 [16384/46200]	Loss: 0.4351	LR: 0.020000
Training Epoch: 24 [16640/46200]	Loss: 0.4405	LR: 0.020000
Training Epoch: 24 [16896/46200]	Loss: 0.3839	LR: 0.020000
Training Epoch: 24 [17152/46200]	Loss: 0.3396	LR: 0.020000
Training Epoch: 24 [17408/46200]	Loss: 0.3887	LR: 0.020000
Training Epoch: 24 [17664/46200]	Loss: 0.4557	LR: 0.020000
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Training Epoch: 24 [18176/46200]	Loss: 0.4525	LR: 0.020000
Training Epoch: 24 [18432/46200]	Loss: 0.4503	LR: 0.020000
Training Epoch: 24 [18688/46200]	Loss: 0.4005	LR: 0.020000
Training Epoch: 24 [18944/46200]	Loss: 0.3364	LR: 0.020000
Training Epoch: 24 [19200/46200]	Loss: 0.4657	LR: 0.020000
Training Epoch: 24 [19456/46200]	Loss: 0.3676	LR: 0.020000
Training Epoch: 24 [19712/46200]	Loss: 0.4002	LR: 0.020000
Training Epoch: 24 [19968/46200]	Loss: 0.3759	LR: 0.020000
Training Epoch: 24 [20224/46200]	Loss: 0.3814	LR: 0.020000
Training Epoch: 24 [20480/46200]	Loss: 0.3607	LR: 0.020000
Training Epoch: 24 [20736/46200]	Loss: 0.4312	LR: 0.020000
Training Epoch: 24 [20992/46200]	Loss: 0.3138	LR: 0.020000
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Training Epoch: 24 [21504/46200]	Loss: 0.5319	LR: 0.020000
Training Epoch: 24 [21760/46200]	Loss: 0.3625	LR: 0.020000
Training Epoch: 24 [22016/46200]	Loss: 0.3708	LR: 0.020000
Training Epoch: 24 [22272/46200]	Loss: 0.4357	LR: 0.020000
Training Epoch: 24 [22528/46200]	Loss: 0.4231	LR: 0.020000
Training Epoch: 24 [22784/46200]	Loss: 0.4294	LR: 0.020000
Training Epoch: 24 [23040/46200]	Loss: 0.4823	LR: 0.020000
Training Epoch: 24 [23296/46200]	Loss: 0.4571	LR: 0.020000
Training Epoch: 24 [23552/46200]	Loss: 0.4648	LR: 0.020000
Training Epoch: 24 [23808/46200]	Loss: 0.4380	LR: 0.020000
Training Epoch: 24 [24064/46200]	Loss: 0.4887	LR: 0.020000
Training Epoch: 24 [24320/46200]	Loss: 0.4335	LR: 0.020000
Training Epoch: 24 [24576/46200]	Loss: 0.3915	LR: 0.020000
Training Epoch: 24 [24832/46200]	Loss: 0.5093	LR: 0.020000
Training Epoch: 24 [25088/46200]	Loss: 0.4333	LR: 0.020000
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Training Epoch: 24 [25600/46200]	Loss: 0.3483	LR: 0.020000
Training Epoch: 24 [25856/46200]	Loss: 0.3804	LR: 0.020000
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Training Epoch: 24 [26880/46200]	Loss: 0.4416	LR: 0.020000
Training Epoch: 24 [27136/46200]	Loss: 0.4685	LR: 0.020000
Training Epoch: 24 [27392/46200]	Loss: 0.3280	LR: 0.020000
Training Epoch: 24 [27648/46200]	Loss: 0.3822	LR: 0.020000
Training Epoch: 24 [27904/46200]	Loss: 0.4297	LR: 0.020000
Training Epoch: 24 [28160/46200]	Loss: 0.5377	LR: 0.020000
Training Epoch: 24 [28416/46200]	Loss: 0.2699	LR: 0.020000
Training Epoch: 24 [28672/46200]	Loss: 0.3192	LR: 0.020000
Training Epoch: 24 [28928/46200]	Loss: 0.4509	LR: 0.020000
Training Epoch: 24 [29184/46200]	Loss: 0.4162	LR: 0.020000
Training Epoch: 24 [29440/46200]	Loss: 0.4388	LR: 0.020000
Training Epoch: 24 [29696/46200]	Loss: 0.3340	LR: 0.020000
Training Epoch: 24 [29952/46200]	Loss: 0.4329	LR: 0.020000
Training Epoch: 24 [30208/46200]	Loss: 0.2743	LR: 0.020000
Training Epoch: 24 [30464/46200]	Loss: 0.4365	LR: 0.020000
Training Epoch: 24 [30720/46200]	Loss: 0.3707	LR: 0.020000
Training Epoch: 24 [30976/46200]	Loss: 0.4096	LR: 0.020000
Training Epoch: 24 [31232/46200]	Loss: 0.3665	LR: 0.020000
Training Epoch: 24 [31488/46200]	Loss: 0.4651	LR: 0.020000
Training Epoch: 24 [31744/46200]	Loss: 0.3781	LR: 0.020000
Training Epoch: 24 [32000/46200]	Loss: 0.3711	LR: 0.020000
Training Epoch: 24 [32256/46200]	Loss: 0.4493	LR: 0.020000
Training Epoch: 24 [32512/46200]	Loss: 0.5060	LR: 0.020000
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Training Epoch: 24 [38144/46200]	Loss: 0.3343	LR: 0.020000
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Training Epoch: 24 [38656/46200]	Loss: 0.3933	LR: 0.020000
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Training Epoch: 24 [39424/46200]	Loss: 0.3367	LR: 0.020000
Training Epoch: 24 [39680/46200]	Loss: 0.4214	LR: 0.020000
Training Epoch: 24 [39936/46200]	Loss: 0.4058	LR: 0.020000
Training Epoch: 24 [40192/46200]	Loss: 0.4193	LR: 0.020000
Training Epoch: 24 [40448/46200]	Loss: 0.3669	LR: 0.020000
Training Epoch: 24 [40704/46200]	Loss: 0.4514	LR: 0.020000
Training Epoch: 24 [40960/46200]	Loss: 0.4387	LR: 0.020000
Training Epoch: 24 [41216/46200]	Loss: 0.4098	LR: 0.020000
Training Epoch: 24 [41472/46200]	Loss: 0.4918	LR: 0.020000
Training Epoch: 24 [41728/46200]	Loss: 0.4192	LR: 0.020000
Training Epoch: 24 [41984/46200]	Loss: 0.4698	LR: 0.020000
Training Epoch: 24 [42240/46200]	Loss: 0.4827	LR: 0.020000
Training Epoch: 24 [42496/46200]	Loss: 0.4074	LR: 0.020000
Training Epoch: 24 [42752/46200]	Loss: 0.4349	LR: 0.020000
Training Epoch: 24 [43008/46200]	Loss: 0.4439	LR: 0.020000
Training Epoch: 24 [43264/46200]	Loss: 0.4768	LR: 0.020000
Training Epoch: 24 [43520/46200]	Loss: 0.4126	LR: 0.020000
Training Epoch: 24 [43776/46200]	Loss: 0.4197	LR: 0.020000
Training Epoch: 24 [44032/46200]	Loss: 0.3282	LR: 0.020000
Training Epoch: 24 [44288/46200]	Loss: 0.3408	LR: 0.020000
Training Epoch: 24 [44544/46200]	Loss: 0.4032	LR: 0.020000
Training Epoch: 24 [44800/46200]	Loss: 0.4621	LR: 0.020000
Training Epoch: 24 [45056/46200]	Loss: 0.3369	LR: 0.020000
Training Epoch: 24 [45312/46200]	Loss: 0.4646	LR: 0.020000
Training Epoch: 24 [45568/46200]	Loss: 0.4709	LR: 0.020000
Training Epoch: 24 [45824/46200]	Loss: 0.3455	LR: 0.020000
Training Epoch: 24 [46080/46200]	Loss: 0.4155	LR: 0.020000
Training Epoch: 24 [46200/46200]	Loss: 0.4313	LR: 0.020000
Epoch 24 - Average Train Loss: 0.3948, Train Accuracy: 0.8697
Epoch 24 training time consumed: 28.04s
Evaluating Network.....
Test set: Epoch: 24, Average loss: 0.0032, Accuracy: 0.7669, Time consumed:0.93s
Training Epoch: 25 [256/46200]	Loss: 0.3609	LR: 0.020000
Training Epoch: 25 [512/46200]	Loss: 0.2971	LR: 0.020000
Training Epoch: 25 [768/46200]	Loss: 0.4068	LR: 0.020000
Training Epoch: 25 [1024/46200]	Loss: 0.4832	LR: 0.020000
Training Epoch: 25 [1280/46200]	Loss: 0.3213	LR: 0.020000
Training Epoch: 25 [1536/46200]	Loss: 0.4651	LR: 0.020000
Training Epoch: 25 [1792/46200]	Loss: 0.3685	LR: 0.020000
Training Epoch: 25 [2048/46200]	Loss: 0.3610	LR: 0.020000
Training Epoch: 25 [2304/46200]	Loss: 0.4879	LR: 0.020000
Training Epoch: 25 [2560/46200]	Loss: 0.3303	LR: 0.020000
Training Epoch: 25 [2816/46200]	Loss: 0.3442	LR: 0.020000
Training Epoch: 25 [3072/46200]	Loss: 0.3476	LR: 0.020000
Training Epoch: 25 [3328/46200]	Loss: 0.4358	LR: 0.020000
Training Epoch: 25 [3584/46200]	Loss: 0.3292	LR: 0.020000
Training Epoch: 25 [3840/46200]	Loss: 0.3204	LR: 0.020000
Training Epoch: 25 [4096/46200]	Loss: 0.3350	LR: 0.020000
Training Epoch: 25 [4352/46200]	Loss: 0.3645	LR: 0.020000
Training Epoch: 25 [4608/46200]	Loss: 0.3887	LR: 0.020000
Training Epoch: 25 [4864/46200]	Loss: 0.4273	LR: 0.020000
Training Epoch: 25 [5120/46200]	Loss: 0.3603	LR: 0.020000
Training Epoch: 25 [5376/46200]	Loss: 0.3906	LR: 0.020000
Training Epoch: 25 [5632/46200]	Loss: 0.3443	LR: 0.020000
Training Epoch: 25 [5888/46200]	Loss: 0.3523	LR: 0.020000
Training Epoch: 25 [6144/46200]	Loss: 0.3586	LR: 0.020000
Training Epoch: 25 [6400/46200]	Loss: 0.3902	LR: 0.020000
Training Epoch: 25 [6656/46200]	Loss: 0.3834	LR: 0.020000
Training Epoch: 25 [6912/46200]	Loss: 0.3304	LR: 0.020000
Training Epoch: 25 [7168/46200]	Loss: 0.4222	LR: 0.020000
Training Epoch: 25 [7424/46200]	Loss: 0.3248	LR: 0.020000
Training Epoch: 25 [7680/46200]	Loss: 0.3133	LR: 0.020000
Training Epoch: 25 [7936/46200]	Loss: 0.3919	LR: 0.020000
Training Epoch: 25 [8192/46200]	Loss: 0.3569	LR: 0.020000
Training Epoch: 25 [8448/46200]	Loss: 0.4536	LR: 0.020000
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Training Epoch: 25 [8960/46200]	Loss: 0.4626	LR: 0.020000
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Training Epoch: 25 [9472/46200]	Loss: 0.4144	LR: 0.020000
Training Epoch: 25 [9728/46200]	Loss: 0.3670	LR: 0.020000
Training Epoch: 25 [9984/46200]	Loss: 0.4844	LR: 0.020000
Training Epoch: 25 [10240/46200]	Loss: 0.3099	LR: 0.020000
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Training Epoch: 25 [11008/46200]	Loss: 0.3757	LR: 0.020000
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Training Epoch: 25 [12544/46200]	Loss: 0.3470	LR: 0.020000
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Training Epoch: 25 [18944/46200]	Loss: 0.3805	LR: 0.020000
Training Epoch: 25 [19200/46200]	Loss: 0.4184	LR: 0.020000
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Training Epoch: 25 [26368/46200]	Loss: 0.4417	LR: 0.020000
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Training Epoch: 25 [27904/46200]	Loss: 0.3652	LR: 0.020000
Training Epoch: 25 [28160/46200]	Loss: 0.5104	LR: 0.020000
Training Epoch: 25 [28416/46200]	Loss: 0.3895	LR: 0.020000
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Training Epoch: 25 [28928/46200]	Loss: 0.4586	LR: 0.020000
Training Epoch: 25 [29184/46200]	Loss: 0.3721	LR: 0.020000
Training Epoch: 25 [29440/46200]	Loss: 0.5075	LR: 0.020000
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Training Epoch: 25 [39936/46200]	Loss: 0.4881	LR: 0.020000
Training Epoch: 25 [40192/46200]	Loss: 0.4395	LR: 0.020000
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Training Epoch: 25 [40704/46200]	Loss: 0.4839	LR: 0.020000
Training Epoch: 25 [40960/46200]	Loss: 0.3858	LR: 0.020000
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Training Epoch: 25 [42240/46200]	Loss: 0.4116	LR: 0.020000
Training Epoch: 25 [42496/46200]	Loss: 0.3773	LR: 0.020000
Training Epoch: 25 [42752/46200]	Loss: 0.3844	LR: 0.020000
Training Epoch: 25 [43008/46200]	Loss: 0.4858	LR: 0.020000
Training Epoch: 25 [43264/46200]	Loss: 0.3213	LR: 0.020000
Training Epoch: 25 [43520/46200]	Loss: 0.3489	LR: 0.020000
Training Epoch: 25 [43776/46200]	Loss: 0.4434	LR: 0.020000
Training Epoch: 25 [44032/46200]	Loss: 0.3721	LR: 0.020000
Training Epoch: 25 [44288/46200]	Loss: 0.3721	LR: 0.020000
Training Epoch: 25 [44544/46200]	Loss: 0.3907	LR: 0.020000
Training Epoch: 25 [44800/46200]	Loss: 0.4356	LR: 0.020000
Training Epoch: 25 [45056/46200]	Loss: 0.4281	LR: 0.020000
Training Epoch: 25 [45312/46200]	Loss: 0.4067	LR: 0.020000
Training Epoch: 25 [45568/46200]	Loss: 0.3858	LR: 0.020000
Training Epoch: 25 [45824/46200]	Loss: 0.4028	LR: 0.020000
Training Epoch: 25 [46080/46200]	Loss: 0.4186	LR: 0.020000
Training Epoch: 25 [46200/46200]	Loss: 0.5870	LR: 0.020000
Epoch 25 - Average Train Loss: 0.3929, Train Accuracy: 0.8675
Epoch 25 training time consumed: 28.00s
Evaluating Network.....
Test set: Epoch: 25, Average loss: 0.0030, Accuracy: 0.7760, Time consumed:0.94s
Training Epoch: 26 [256/46200]	Loss: 0.3049	LR: 0.020000
Training Epoch: 26 [512/46200]	Loss: 0.2731	LR: 0.020000
Training Epoch: 26 [768/46200]	Loss: 0.4036	LR: 0.020000
Training Epoch: 26 [1024/46200]	Loss: 0.4083	LR: 0.020000
Training Epoch: 26 [1280/46200]	Loss: 0.4029	LR: 0.020000
Training Epoch: 26 [1536/46200]	Loss: 0.3710	LR: 0.020000
Training Epoch: 26 [1792/46200]	Loss: 0.2852	LR: 0.020000
Training Epoch: 26 [2048/46200]	Loss: 0.2897	LR: 0.020000
Training Epoch: 26 [2304/46200]	Loss: 0.3860	LR: 0.020000
Training Epoch: 26 [2560/46200]	Loss: 0.3322	LR: 0.020000
Training Epoch: 26 [2816/46200]	Loss: 0.3516	LR: 0.020000
Training Epoch: 26 [3072/46200]	Loss: 0.3243	LR: 0.020000
Training Epoch: 26 [3328/46200]	Loss: 0.3566	LR: 0.020000
Training Epoch: 26 [3584/46200]	Loss: 0.3636	LR: 0.020000
Training Epoch: 26 [3840/46200]	Loss: 0.3679	LR: 0.020000
Training Epoch: 26 [4096/46200]	Loss: 0.3654	LR: 0.020000
Training Epoch: 26 [4352/46200]	Loss: 0.3630	LR: 0.020000
Training Epoch: 26 [4608/46200]	Loss: 0.3695	LR: 0.020000
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Training Epoch: 26 [5120/46200]	Loss: 0.3903	LR: 0.020000
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Training Epoch: 26 [5888/46200]	Loss: 0.3668	LR: 0.020000
Training Epoch: 26 [6144/46200]	Loss: 0.3000	LR: 0.020000
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Training Epoch: 26 [6656/46200]	Loss: 0.2768	LR: 0.020000
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Training Epoch: 26 [7680/46200]	Loss: 0.3299	LR: 0.020000
Training Epoch: 26 [7936/46200]	Loss: 0.2859	LR: 0.020000
Training Epoch: 26 [8192/46200]	Loss: 0.3120	LR: 0.020000
Training Epoch: 26 [8448/46200]	Loss: 0.3986	LR: 0.020000
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Training Epoch: 26 [8960/46200]	Loss: 0.3032	LR: 0.020000
Training Epoch: 26 [9216/46200]	Loss: 0.3452	LR: 0.020000
Training Epoch: 26 [9472/46200]	Loss: 0.3274	LR: 0.020000
Training Epoch: 26 [9728/46200]	Loss: 0.4090	LR: 0.020000
Training Epoch: 26 [9984/46200]	Loss: 0.4006	LR: 0.020000
Training Epoch: 26 [10240/46200]	Loss: 0.3581	LR: 0.020000
Training Epoch: 26 [10496/46200]	Loss: 0.3471	LR: 0.020000
Training Epoch: 26 [10752/46200]	Loss: 0.3347	LR: 0.020000
Training Epoch: 26 [11008/46200]	Loss: 0.2882	LR: 0.020000
Training Epoch: 26 [11264/46200]	Loss: 0.3482	LR: 0.020000
Training Epoch: 26 [11520/46200]	Loss: 0.3609	LR: 0.020000
Training Epoch: 26 [11776/46200]	Loss: 0.2834	LR: 0.020000
Training Epoch: 26 [12032/46200]	Loss: 0.3074	LR: 0.020000
Training Epoch: 26 [12288/46200]	Loss: 0.4909	LR: 0.020000
Training Epoch: 26 [12544/46200]	Loss: 0.3862	LR: 0.020000
Training Epoch: 26 [12800/46200]	Loss: 0.3899	LR: 0.020000
Training Epoch: 26 [13056/46200]	Loss: 0.4004	LR: 0.020000
Training Epoch: 26 [13312/46200]	Loss: 0.4113	LR: 0.020000
Training Epoch: 26 [13568/46200]	Loss: 0.3917	LR: 0.020000
Training Epoch: 26 [13824/46200]	Loss: 0.3936	LR: 0.020000
Training Epoch: 26 [14080/46200]	Loss: 0.3494	LR: 0.020000
Training Epoch: 26 [14336/46200]	Loss: 0.3205	LR: 0.020000
Training Epoch: 26 [14592/46200]	Loss: 0.3731	LR: 0.020000
Training Epoch: 26 [14848/46200]	Loss: 0.3158	LR: 0.020000
Training Epoch: 26 [15104/46200]	Loss: 0.3487	LR: 0.020000
Training Epoch: 26 [15360/46200]	Loss: 0.4248	LR: 0.020000
Training Epoch: 26 [15616/46200]	Loss: 0.4559	LR: 0.020000
Training Epoch: 26 [15872/46200]	Loss: 0.3404	LR: 0.020000
Training Epoch: 26 [16128/46200]	Loss: 0.3463	LR: 0.020000
Training Epoch: 26 [16384/46200]	Loss: 0.3464	LR: 0.020000
Training Epoch: 26 [16640/46200]	Loss: 0.3560	LR: 0.020000
Training Epoch: 26 [16896/46200]	Loss: 0.4246	LR: 0.020000
Training Epoch: 26 [17152/46200]	Loss: 0.3809	LR: 0.020000
Training Epoch: 26 [17408/46200]	Loss: 0.3569	LR: 0.020000
Training Epoch: 26 [17664/46200]	Loss: 0.3021	LR: 0.020000
Training Epoch: 26 [17920/46200]	Loss: 0.3912	LR: 0.020000
Training Epoch: 26 [18176/46200]	Loss: 0.3494	LR: 0.020000
Training Epoch: 26 [18432/46200]	Loss: 0.3547	LR: 0.020000
Training Epoch: 26 [18688/46200]	Loss: 0.3035	LR: 0.020000
Training Epoch: 26 [18944/46200]	Loss: 0.4082	LR: 0.020000
Training Epoch: 26 [19200/46200]	Loss: 0.3495	LR: 0.020000
Training Epoch: 26 [19456/46200]	Loss: 0.3447	LR: 0.020000
Training Epoch: 26 [19712/46200]	Loss: 0.4053	LR: 0.020000
Training Epoch: 26 [19968/46200]	Loss: 0.3658	LR: 0.020000
Training Epoch: 26 [20224/46200]	Loss: 0.4124	LR: 0.020000
Training Epoch: 26 [20480/46200]	Loss: 0.3696	LR: 0.020000
Training Epoch: 26 [20736/46200]	Loss: 0.3665	LR: 0.020000
Training Epoch: 26 [20992/46200]	Loss: 0.3004	LR: 0.020000
Training Epoch: 26 [21248/46200]	Loss: 0.3330	LR: 0.020000
Training Epoch: 26 [21504/46200]	Loss: 0.3951	LR: 0.020000
Training Epoch: 26 [21760/46200]	Loss: 0.3137	LR: 0.020000
Training Epoch: 26 [22016/46200]	Loss: 0.3561	LR: 0.020000
Training Epoch: 26 [22272/46200]	Loss: 0.3800	LR: 0.020000
Training Epoch: 26 [22528/46200]	Loss: 0.3604	LR: 0.020000
Training Epoch: 26 [22784/46200]	Loss: 0.3691	LR: 0.020000
Training Epoch: 26 [23040/46200]	Loss: 0.3747	LR: 0.020000
Training Epoch: 26 [23296/46200]	Loss: 0.4124	LR: 0.020000
Training Epoch: 26 [23552/46200]	Loss: 0.4304	LR: 0.020000
Training Epoch: 26 [23808/46200]	Loss: 0.3438	LR: 0.020000
Training Epoch: 26 [24064/46200]	Loss: 0.3630	LR: 0.020000
Training Epoch: 26 [24320/46200]	Loss: 0.2827	LR: 0.020000
Training Epoch: 26 [24576/46200]	Loss: 0.3611	LR: 0.020000
Training Epoch: 26 [24832/46200]	Loss: 0.3147	LR: 0.020000
Training Epoch: 26 [25088/46200]	Loss: 0.4346	LR: 0.020000
Training Epoch: 26 [25344/46200]	Loss: 0.3403	LR: 0.020000
Training Epoch: 26 [25600/46200]	Loss: 0.3262	LR: 0.020000
Training Epoch: 26 [25856/46200]	Loss: 0.4144	LR: 0.020000
Training Epoch: 26 [26112/46200]	Loss: 0.4123	LR: 0.020000
Training Epoch: 26 [26368/46200]	Loss: 0.4601	LR: 0.020000
Training Epoch: 26 [26624/46200]	Loss: 0.3316	LR: 0.020000
Training Epoch: 26 [26880/46200]	Loss: 0.3317	LR: 0.020000
Training Epoch: 26 [27136/46200]	Loss: 0.3465	LR: 0.020000
Training Epoch: 26 [27392/46200]	Loss: 0.4363	LR: 0.020000
Training Epoch: 26 [27648/46200]	Loss: 0.3090	LR: 0.020000
Training Epoch: 26 [27904/46200]	Loss: 0.3806	LR: 0.020000
Training Epoch: 26 [28160/46200]	Loss: 0.4331	LR: 0.020000
Training Epoch: 26 [28416/46200]	Loss: 0.3962	LR: 0.020000
Training Epoch: 26 [28672/46200]	Loss: 0.3374	LR: 0.020000
Training Epoch: 26 [28928/46200]	Loss: 0.3884	LR: 0.020000
Training Epoch: 26 [29184/46200]	Loss: 0.3745	LR: 0.020000
Training Epoch: 26 [29440/46200]	Loss: 0.4604	LR: 0.020000
Training Epoch: 26 [29696/46200]	Loss: 0.4985	LR: 0.020000
Training Epoch: 26 [29952/46200]	Loss: 0.4496	LR: 0.020000
Training Epoch: 26 [30208/46200]	Loss: 0.4582	LR: 0.020000
Training Epoch: 26 [30464/46200]	Loss: 0.3649	LR: 0.020000
Training Epoch: 26 [30720/46200]	Loss: 0.4278	LR: 0.020000
Training Epoch: 26 [30976/46200]	Loss: 0.4335	LR: 0.020000
Training Epoch: 26 [31232/46200]	Loss: 0.4220	LR: 0.020000
Training Epoch: 26 [31488/46200]	Loss: 0.4398	LR: 0.020000
Training Epoch: 26 [31744/46200]	Loss: 0.3753	LR: 0.020000
Training Epoch: 26 [32000/46200]	Loss: 0.3018	LR: 0.020000
Training Epoch: 26 [32256/46200]	Loss: 0.3407	LR: 0.020000
Training Epoch: 26 [32512/46200]	Loss: 0.4146	LR: 0.020000
Training Epoch: 26 [32768/46200]	Loss: 0.3704	LR: 0.020000
Training Epoch: 26 [33024/46200]	Loss: 0.3368	LR: 0.020000
Training Epoch: 26 [33280/46200]	Loss: 0.2637	LR: 0.020000
Training Epoch: 26 [33536/46200]	Loss: 0.4170	LR: 0.020000
Training Epoch: 26 [33792/46200]	Loss: 0.3967	LR: 0.020000
Training Epoch: 26 [34048/46200]	Loss: 0.4413	LR: 0.020000
Training Epoch: 26 [34304/46200]	Loss: 0.4778	LR: 0.020000
Training Epoch: 26 [34560/46200]	Loss: 0.3613	LR: 0.020000
Training Epoch: 26 [34816/46200]	Loss: 0.4610	LR: 0.020000
Training Epoch: 26 [35072/46200]	Loss: 0.3722	LR: 0.020000
Training Epoch: 26 [35328/46200]	Loss: 0.3341	LR: 0.020000
Training Epoch: 26 [35584/46200]	Loss: 0.3521	LR: 0.020000
Training Epoch: 26 [35840/46200]	Loss: 0.4748	LR: 0.020000
Training Epoch: 26 [36096/46200]	Loss: 0.4237	LR: 0.020000
Training Epoch: 26 [36352/46200]	Loss: 0.4238	LR: 0.020000
Training Epoch: 26 [36608/46200]	Loss: 0.3601	LR: 0.020000
Training Epoch: 26 [36864/46200]	Loss: 0.4205	LR: 0.020000
Training Epoch: 26 [37120/46200]	Loss: 0.3869	LR: 0.020000
Training Epoch: 26 [37376/46200]	Loss: 0.4064	LR: 0.020000
Training Epoch: 26 [37632/46200]	Loss: 0.4452	LR: 0.020000
Training Epoch: 26 [37888/46200]	Loss: 0.4752	LR: 0.020000
Training Epoch: 26 [38144/46200]	Loss: 0.3308	LR: 0.020000
Training Epoch: 26 [38400/46200]	Loss: 0.3342	LR: 0.020000
Training Epoch: 26 [38656/46200]	Loss: 0.4570	LR: 0.020000
Training Epoch: 26 [38912/46200]	Loss: 0.3679	LR: 0.020000
Training Epoch: 26 [39168/46200]	Loss: 0.3296	LR: 0.020000
Training Epoch: 26 [39424/46200]	Loss: 0.3383	LR: 0.020000
Training Epoch: 26 [39680/46200]	Loss: 0.4088	LR: 0.020000
Training Epoch: 26 [39936/46200]	Loss: 0.4437	LR: 0.020000
Training Epoch: 26 [40192/46200]	Loss: 0.3930	LR: 0.020000
Training Epoch: 26 [40448/46200]	Loss: 0.4183	LR: 0.020000
Training Epoch: 26 [40704/46200]	Loss: 0.3444	LR: 0.020000
Training Epoch: 26 [40960/46200]	Loss: 0.4544	LR: 0.020000
Training Epoch: 26 [41216/46200]	Loss: 0.3451	LR: 0.020000
Training Epoch: 26 [41472/46200]	Loss: 0.5318	LR: 0.020000
Training Epoch: 26 [41728/46200]	Loss: 0.3762	LR: 0.020000
Training Epoch: 26 [41984/46200]	Loss: 0.4499	LR: 0.020000
Training Epoch: 26 [42240/46200]	Loss: 0.4151	LR: 0.020000
Training Epoch: 26 [42496/46200]	Loss: 0.4512	LR: 0.020000
Training Epoch: 26 [42752/46200]	Loss: 0.3266	LR: 0.020000
Training Epoch: 26 [43008/46200]	Loss: 0.3927	LR: 0.020000
Training Epoch: 26 [43264/46200]	Loss: 0.4343	LR: 0.020000
Training Epoch: 26 [43520/46200]	Loss: 0.3597	LR: 0.020000
Training Epoch: 26 [43776/46200]	Loss: 0.4721	LR: 0.020000
Training Epoch: 26 [44032/46200]	Loss: 0.4190	LR: 0.020000
Training Epoch: 26 [44288/46200]	Loss: 0.3538	LR: 0.020000
Training Epoch: 26 [44544/46200]	Loss: 0.4427	LR: 0.020000
Training Epoch: 26 [44800/46200]	Loss: 0.3667	LR: 0.020000
Training Epoch: 26 [45056/46200]	Loss: 0.3823	LR: 0.020000
Training Epoch: 26 [45312/46200]	Loss: 0.3928	LR: 0.020000
Training Epoch: 26 [45568/46200]	Loss: 0.3460	LR: 0.020000
Training Epoch: 26 [45824/46200]	Loss: 0.3694	LR: 0.020000
Training Epoch: 26 [46080/46200]	Loss: 0.4501	LR: 0.020000
Training Epoch: 26 [46200/46200]	Loss: 0.5163	LR: 0.020000
Epoch 26 - Average Train Loss: 0.3766, Train Accuracy: 0.8747
Epoch 26 training time consumed: 28.00s
Evaluating Network.....
Test set: Epoch: 26, Average loss: 0.0033, Accuracy: 0.7552, Time consumed:0.95s
Training Epoch: 27 [256/46200]	Loss: 0.3563	LR: 0.020000
Training Epoch: 27 [512/46200]	Loss: 0.3645	LR: 0.020000
Training Epoch: 27 [768/46200]	Loss: 0.3009	LR: 0.020000
Training Epoch: 27 [1024/46200]	Loss: 0.4195	LR: 0.020000
Training Epoch: 27 [1280/46200]	Loss: 0.3401	LR: 0.020000
Training Epoch: 27 [1536/46200]	Loss: 0.2640	LR: 0.020000
Training Epoch: 27 [1792/46200]	Loss: 0.3317	LR: 0.020000
Training Epoch: 27 [2048/46200]	Loss: 0.3380	LR: 0.020000
Training Epoch: 27 [2304/46200]	Loss: 0.3863	LR: 0.020000
Training Epoch: 27 [2560/46200]	Loss: 0.3100	LR: 0.020000
Training Epoch: 27 [2816/46200]	Loss: 0.3172	LR: 0.020000
Training Epoch: 27 [3072/46200]	Loss: 0.3235	LR: 0.020000
Training Epoch: 27 [3328/46200]	Loss: 0.2963	LR: 0.020000
Training Epoch: 27 [3584/46200]	Loss: 0.3904	LR: 0.020000
Training Epoch: 27 [3840/46200]	Loss: 0.2844	LR: 0.020000
Training Epoch: 27 [4096/46200]	Loss: 0.3484	LR: 0.020000
Training Epoch: 27 [4352/46200]	Loss: 0.3352	LR: 0.020000
Training Epoch: 27 [4608/46200]	Loss: 0.3632	LR: 0.020000
Training Epoch: 27 [4864/46200]	Loss: 0.3306	LR: 0.020000
Training Epoch: 27 [5120/46200]	Loss: 0.3234	LR: 0.020000
Training Epoch: 27 [5376/46200]	Loss: 0.2933	LR: 0.020000
Training Epoch: 27 [5632/46200]	Loss: 0.2260	LR: 0.020000
Training Epoch: 27 [5888/46200]	Loss: 0.4089	LR: 0.020000
Training Epoch: 27 [6144/46200]	Loss: 0.3024	LR: 0.020000
Training Epoch: 27 [6400/46200]	Loss: 0.3156	LR: 0.020000
Training Epoch: 27 [6656/46200]	Loss: 0.3512	LR: 0.020000
Training Epoch: 27 [6912/46200]	Loss: 0.3503	LR: 0.020000
Training Epoch: 27 [7168/46200]	Loss: 0.2668	LR: 0.020000
Training Epoch: 27 [7424/46200]	Loss: 0.3198	LR: 0.020000
Training Epoch: 27 [7680/46200]	Loss: 0.4228	LR: 0.020000
Training Epoch: 27 [7936/46200]	Loss: 0.3844	LR: 0.020000
Training Epoch: 27 [8192/46200]	Loss: 0.3481	LR: 0.020000
Training Epoch: 27 [8448/46200]	Loss: 0.2982	LR: 0.020000
Training Epoch: 27 [8704/46200]	Loss: 0.3727	LR: 0.020000
Training Epoch: 27 [8960/46200]	Loss: 0.4179	LR: 0.020000
Training Epoch: 27 [9216/46200]	Loss: 0.3253	LR: 0.020000
Training Epoch: 27 [9472/46200]	Loss: 0.3060	LR: 0.020000
Training Epoch: 27 [9728/46200]	Loss: 0.3241	LR: 0.020000
Training Epoch: 27 [9984/46200]	Loss: 0.3612	LR: 0.020000
Training Epoch: 27 [10240/46200]	Loss: 0.3361	LR: 0.020000
Training Epoch: 27 [10496/46200]	Loss: 0.4120	LR: 0.020000
Training Epoch: 27 [10752/46200]	Loss: 0.2707	LR: 0.020000
Training Epoch: 27 [11008/46200]	Loss: 0.4548	LR: 0.020000
Training Epoch: 27 [11264/46200]	Loss: 0.3060	LR: 0.020000
Training Epoch: 27 [11520/46200]	Loss: 0.4165	LR: 0.020000
Training Epoch: 27 [11776/46200]	Loss: 0.3764	LR: 0.020000
Training Epoch: 27 [12032/46200]	Loss: 0.3938	LR: 0.020000
Training Epoch: 27 [12288/46200]	Loss: 0.4256	LR: 0.020000
Training Epoch: 27 [12544/46200]	Loss: 0.4244	LR: 0.020000
Training Epoch: 27 [12800/46200]	Loss: 0.3219	LR: 0.020000
Training Epoch: 27 [13056/46200]	Loss: 0.3146	LR: 0.020000
Training Epoch: 27 [13312/46200]	Loss: 0.3187	LR: 0.020000
Training Epoch: 27 [13568/46200]	Loss: 0.3077	LR: 0.020000
Training Epoch: 27 [13824/46200]	Loss: 0.2827	LR: 0.020000
Training Epoch: 27 [14080/46200]	Loss: 0.2729	LR: 0.020000
Training Epoch: 27 [14336/46200]	Loss: 0.3793	LR: 0.020000
Training Epoch: 27 [14592/46200]	Loss: 0.3174	LR: 0.020000
Training Epoch: 27 [14848/46200]	Loss: 0.3036	LR: 0.020000
Training Epoch: 27 [15104/46200]	Loss: 0.3020	LR: 0.020000
Training Epoch: 27 [15360/46200]	Loss: 0.3473	LR: 0.020000
Training Epoch: 27 [15616/46200]	Loss: 0.3892	LR: 0.020000
Training Epoch: 27 [15872/46200]	Loss: 0.4645	LR: 0.020000
Training Epoch: 27 [16128/46200]	Loss: 0.4132	LR: 0.020000
Training Epoch: 27 [16384/46200]	Loss: 0.3294	LR: 0.020000
Training Epoch: 27 [16640/46200]	Loss: 0.2976	LR: 0.020000
Training Epoch: 27 [16896/46200]	Loss: 0.3117	LR: 0.020000
Training Epoch: 27 [17152/46200]	Loss: 0.2959	LR: 0.020000
Training Epoch: 27 [17408/46200]	Loss: 0.4219	LR: 0.020000
Training Epoch: 27 [17664/46200]	Loss: 0.4458	LR: 0.020000
Training Epoch: 27 [17920/46200]	Loss: 0.3812	LR: 0.020000
Training Epoch: 27 [18176/46200]	Loss: 0.3382	LR: 0.020000
Training Epoch: 27 [18432/46200]	Loss: 0.4144	LR: 0.020000
Training Epoch: 27 [18688/46200]	Loss: 0.3562	LR: 0.020000
Training Epoch: 27 [18944/46200]	Loss: 0.3987	LR: 0.020000
Training Epoch: 27 [19200/46200]	Loss: 0.3332	LR: 0.020000
Training Epoch: 27 [19456/46200]	Loss: 0.4169	LR: 0.020000
Training Epoch: 27 [19712/46200]	Loss: 0.3425	LR: 0.020000
Training Epoch: 27 [19968/46200]	Loss: 0.3550	LR: 0.020000
Training Epoch: 27 [20224/46200]	Loss: 0.3714	LR: 0.020000
Training Epoch: 27 [20480/46200]	Loss: 0.4171	LR: 0.020000
Training Epoch: 27 [20736/46200]	Loss: 0.3333	LR: 0.020000
Training Epoch: 27 [20992/46200]	Loss: 0.3513	LR: 0.020000
Training Epoch: 27 [21248/46200]	Loss: 0.3739	LR: 0.020000
Training Epoch: 27 [21504/46200]	Loss: 0.3677	LR: 0.020000
Training Epoch: 27 [21760/46200]	Loss: 0.2926	LR: 0.020000
Training Epoch: 27 [22016/46200]	Loss: 0.4471	LR: 0.020000
Training Epoch: 27 [22272/46200]	Loss: 0.2471	LR: 0.020000
Training Epoch: 27 [22528/46200]	Loss: 0.3716	LR: 0.020000
Training Epoch: 27 [22784/46200]	Loss: 0.4011	LR: 0.020000
Training Epoch: 27 [23040/46200]	Loss: 0.4394	LR: 0.020000
Training Epoch: 27 [23296/46200]	Loss: 0.3947	LR: 0.020000
Training Epoch: 27 [23552/46200]	Loss: 0.4074	LR: 0.020000
Training Epoch: 27 [23808/46200]	Loss: 0.3285	LR: 0.020000
Training Epoch: 27 [24064/46200]	Loss: 0.4201	LR: 0.020000
Training Epoch: 27 [24320/46200]	Loss: 0.4043	LR: 0.020000
Training Epoch: 27 [24576/46200]	Loss: 0.3655	LR: 0.020000
Training Epoch: 27 [24832/46200]	Loss: 0.4317	LR: 0.020000
Training Epoch: 27 [25088/46200]	Loss: 0.4966	LR: 0.020000
Training Epoch: 27 [25344/46200]	Loss: 0.2997	LR: 0.020000
Training Epoch: 27 [25600/46200]	Loss: 0.2980	LR: 0.020000
Training Epoch: 27 [25856/46200]	Loss: 0.2932	LR: 0.020000
Training Epoch: 27 [26112/46200]	Loss: 0.3312	LR: 0.020000
Training Epoch: 27 [26368/46200]	Loss: 0.3443	LR: 0.020000
Training Epoch: 27 [26624/46200]	Loss: 0.3089	LR: 0.020000
Training Epoch: 27 [26880/46200]	Loss: 0.4026	LR: 0.020000
Training Epoch: 27 [27136/46200]	Loss: 0.4194	LR: 0.020000
Training Epoch: 27 [27392/46200]	Loss: 0.4136	LR: 0.020000
Training Epoch: 27 [27648/46200]	Loss: 0.4389	LR: 0.020000
Training Epoch: 27 [27904/46200]	Loss: 0.4004	LR: 0.020000
Training Epoch: 27 [28160/46200]	Loss: 0.4069	LR: 0.020000
Training Epoch: 27 [28416/46200]	Loss: 0.2911	LR: 0.020000
Training Epoch: 27 [28672/46200]	Loss: 0.4063	LR: 0.020000
Training Epoch: 27 [28928/46200]	Loss: 0.3381	LR: 0.020000
Training Epoch: 27 [29184/46200]	Loss: 0.3483	LR: 0.020000
Training Epoch: 27 [29440/46200]	Loss: 0.3474	LR: 0.020000
Training Epoch: 27 [29696/46200]	Loss: 0.2996	LR: 0.020000
Training Epoch: 27 [29952/46200]	Loss: 0.3234	LR: 0.020000
Training Epoch: 27 [30208/46200]	Loss: 0.4618	LR: 0.020000
Training Epoch: 27 [30464/46200]	Loss: 0.4012	LR: 0.020000
Training Epoch: 27 [30720/46200]	Loss: 0.3373	LR: 0.020000
Training Epoch: 27 [30976/46200]	Loss: 0.3655	LR: 0.020000
Training Epoch: 27 [31232/46200]	Loss: 0.3223	LR: 0.020000
Training Epoch: 27 [31488/46200]	Loss: 0.4527	LR: 0.020000
Training Epoch: 27 [31744/46200]	Loss: 0.3958	LR: 0.020000
Training Epoch: 27 [32000/46200]	Loss: 0.3541	LR: 0.020000
Training Epoch: 27 [32256/46200]	Loss: 0.3994	LR: 0.020000
Training Epoch: 27 [32512/46200]	Loss: 0.4614	LR: 0.020000
Training Epoch: 27 [32768/46200]	Loss: 0.3874	LR: 0.020000
Training Epoch: 27 [33024/46200]	Loss: 0.3564	LR: 0.020000
Training Epoch: 27 [33280/46200]	Loss: 0.4461	LR: 0.020000
Training Epoch: 27 [33536/46200]	Loss: 0.3813	LR: 0.020000
Training Epoch: 27 [33792/46200]	Loss: 0.4441	LR: 0.020000
Training Epoch: 27 [34048/46200]	Loss: 0.5131	LR: 0.020000
Training Epoch: 27 [34304/46200]	Loss: 0.3753	LR: 0.020000
Training Epoch: 27 [34560/46200]	Loss: 0.4191	LR: 0.020000
Training Epoch: 27 [34816/46200]	Loss: 0.3629	LR: 0.020000
Training Epoch: 27 [35072/46200]	Loss: 0.3396	LR: 0.020000
Training Epoch: 27 [35328/46200]	Loss: 0.3919	LR: 0.020000
Training Epoch: 27 [35584/46200]	Loss: 0.4407	LR: 0.020000
Training Epoch: 27 [35840/46200]	Loss: 0.2927	LR: 0.020000
Training Epoch: 27 [36096/46200]	Loss: 0.4584	LR: 0.020000
Training Epoch: 27 [36352/46200]	Loss: 0.3816	LR: 0.020000
Training Epoch: 27 [36608/46200]	Loss: 0.4668	LR: 0.020000
Training Epoch: 27 [36864/46200]	Loss: 0.3518	LR: 0.020000
Training Epoch: 27 [37120/46200]	Loss: 0.4707	LR: 0.020000
Training Epoch: 27 [37376/46200]	Loss: 0.3730	LR: 0.020000
Training Epoch: 27 [37632/46200]	Loss: 0.4061	LR: 0.020000
Training Epoch: 27 [37888/46200]	Loss: 0.3511	LR: 0.020000
Training Epoch: 27 [38144/46200]	Loss: 0.3013	LR: 0.020000
Training Epoch: 27 [38400/46200]	Loss: 0.3739	LR: 0.020000
Training Epoch: 27 [38656/46200]	Loss: 0.4353	LR: 0.020000
Training Epoch: 27 [38912/46200]	Loss: 0.3581	LR: 0.020000
Training Epoch: 27 [39168/46200]	Loss: 0.2882	LR: 0.020000
Training Epoch: 27 [39424/46200]	Loss: 0.4096	LR: 0.020000
Training Epoch: 27 [39680/46200]	Loss: 0.4092	LR: 0.020000
Training Epoch: 27 [39936/46200]	Loss: 0.3699	LR: 0.020000
Training Epoch: 27 [40192/46200]	Loss: 0.4774	LR: 0.020000
Training Epoch: 27 [40448/46200]	Loss: 0.3357	LR: 0.020000
Training Epoch: 27 [40704/46200]	Loss: 0.2898	LR: 0.020000
Training Epoch: 27 [40960/46200]	Loss: 0.3147	LR: 0.020000
Training Epoch: 27 [41216/46200]	Loss: 0.3568	LR: 0.020000
Training Epoch: 27 [41472/46200]	Loss: 0.2905	LR: 0.020000
Training Epoch: 27 [41728/46200]	Loss: 0.4593	LR: 0.020000
Training Epoch: 27 [41984/46200]	Loss: 0.4074	LR: 0.020000
Training Epoch: 27 [42240/46200]	Loss: 0.3786	LR: 0.020000
Training Epoch: 27 [42496/46200]	Loss: 0.3354	LR: 0.020000
Training Epoch: 27 [42752/46200]	Loss: 0.3394	LR: 0.020000
Training Epoch: 27 [43008/46200]	Loss: 0.3037	LR: 0.020000
Training Epoch: 27 [43264/46200]	Loss: 0.3796	LR: 0.020000
Training Epoch: 27 [43520/46200]	Loss: 0.3752	LR: 0.020000
Training Epoch: 27 [43776/46200]	Loss: 0.4022	LR: 0.020000
Training Epoch: 27 [44032/46200]	Loss: 0.3575	LR: 0.020000
Training Epoch: 27 [44288/46200]	Loss: 0.2610	LR: 0.020000
Training Epoch: 27 [44544/46200]	Loss: 0.3227	LR: 0.020000
Training Epoch: 27 [44800/46200]	Loss: 0.3614	LR: 0.020000
Training Epoch: 27 [45056/46200]	Loss: 0.3765	LR: 0.020000
Training Epoch: 27 [45312/46200]	Loss: 0.4230	LR: 0.020000
Training Epoch: 27 [45568/46200]	Loss: 0.4771	LR: 0.020000
Training Epoch: 27 [45824/46200]	Loss: 0.3180	LR: 0.020000
Training Epoch: 27 [46080/46200]	Loss: 0.3778	LR: 0.020000
Training Epoch: 27 [46200/46200]	Loss: 0.4303	LR: 0.020000
Epoch 27 - Average Train Loss: 0.3641, Train Accuracy: 0.8791
Epoch 27 training time consumed: 28.08s
Evaluating Network.....
Test set: Epoch: 27, Average loss: 0.0031, Accuracy: 0.7734, Time consumed:0.90s
Training Epoch: 28 [256/46200]	Loss: 0.3305	LR: 0.020000
Training Epoch: 28 [512/46200]	Loss: 0.3141	LR: 0.020000
Training Epoch: 28 [768/46200]	Loss: 0.3191	LR: 0.020000
Training Epoch: 28 [1024/46200]	Loss: 0.3239	LR: 0.020000
Training Epoch: 28 [1280/46200]	Loss: 0.2854	LR: 0.020000
Training Epoch: 28 [1536/46200]	Loss: 0.3504	LR: 0.020000
Training Epoch: 28 [1792/46200]	Loss: 0.3191	LR: 0.020000
Training Epoch: 28 [2048/46200]	Loss: 0.4338	LR: 0.020000
Training Epoch: 28 [2304/46200]	Loss: 0.2926	LR: 0.020000
Training Epoch: 28 [2560/46200]	Loss: 0.3557	LR: 0.020000
Training Epoch: 28 [2816/46200]	Loss: 0.3040	LR: 0.020000
Training Epoch: 28 [3072/46200]	Loss: 0.3386	LR: 0.020000
Training Epoch: 28 [3328/46200]	Loss: 0.3677	LR: 0.020000
Training Epoch: 28 [3584/46200]	Loss: 0.3032	LR: 0.020000
Training Epoch: 28 [3840/46200]	Loss: 0.3179	LR: 0.020000
Training Epoch: 28 [4096/46200]	Loss: 0.3044	LR: 0.020000
Training Epoch: 28 [4352/46200]	Loss: 0.2564	LR: 0.020000
Training Epoch: 28 [4608/46200]	Loss: 0.3290	LR: 0.020000
Training Epoch: 28 [4864/46200]	Loss: 0.4777	LR: 0.020000
Training Epoch: 28 [5120/46200]	Loss: 0.3182	LR: 0.020000
Training Epoch: 28 [5376/46200]	Loss: 0.3297	LR: 0.020000
Training Epoch: 28 [5632/46200]	Loss: 0.2741	LR: 0.020000
Training Epoch: 28 [5888/46200]	Loss: 0.3033	LR: 0.020000
Training Epoch: 28 [6144/46200]	Loss: 0.3377	LR: 0.020000
Training Epoch: 28 [6400/46200]	Loss: 0.3665	LR: 0.020000
Training Epoch: 28 [6656/46200]	Loss: 0.3093	LR: 0.020000
Training Epoch: 28 [6912/46200]	Loss: 0.2691	LR: 0.020000
Training Epoch: 28 [7168/46200]	Loss: 0.2979	LR: 0.020000
Training Epoch: 28 [7424/46200]	Loss: 0.3681	LR: 0.020000
Training Epoch: 28 [7680/46200]	Loss: 0.3590	LR: 0.020000
Training Epoch: 28 [7936/46200]	Loss: 0.4278	LR: 0.020000
Training Epoch: 28 [8192/46200]	Loss: 0.3419	LR: 0.020000
Training Epoch: 28 [8448/46200]	Loss: 0.3419	LR: 0.020000
Training Epoch: 28 [8704/46200]	Loss: 0.3313	LR: 0.020000
Training Epoch: 28 [8960/46200]	Loss: 0.3296	LR: 0.020000
Training Epoch: 28 [9216/46200]	Loss: 0.2957	LR: 0.020000
Training Epoch: 28 [9472/46200]	Loss: 0.3128	LR: 0.020000
Training Epoch: 28 [9728/46200]	Loss: 0.3438	LR: 0.020000
Training Epoch: 28 [9984/46200]	Loss: 0.3231	LR: 0.020000
Training Epoch: 28 [10240/46200]	Loss: 0.3041	LR: 0.020000
Training Epoch: 28 [10496/46200]	Loss: 0.2985	LR: 0.020000
Training Epoch: 28 [10752/46200]	Loss: 0.3229	LR: 0.020000
Training Epoch: 28 [11008/46200]	Loss: 0.3877	LR: 0.020000
Training Epoch: 28 [11264/46200]	Loss: 0.3023	LR: 0.020000
Training Epoch: 28 [11520/46200]	Loss: 0.3677	LR: 0.020000
Training Epoch: 28 [11776/46200]	Loss: 0.3466	LR: 0.020000
Training Epoch: 28 [12032/46200]	Loss: 0.3768	LR: 0.020000
Training Epoch: 28 [12288/46200]	Loss: 0.3061	LR: 0.020000
Training Epoch: 28 [12544/46200]	Loss: 0.2417	LR: 0.020000
Training Epoch: 28 [12800/46200]	Loss: 0.2799	LR: 0.020000
Training Epoch: 28 [13056/46200]	Loss: 0.3637	LR: 0.020000
Training Epoch: 28 [13312/46200]	Loss: 0.3328	LR: 0.020000
Training Epoch: 28 [13568/46200]	Loss: 0.3827	LR: 0.020000
Training Epoch: 28 [13824/46200]	Loss: 0.3412	LR: 0.020000
Training Epoch: 28 [14080/46200]	Loss: 0.3077	LR: 0.020000
Training Epoch: 28 [14336/46200]	Loss: 0.3448	LR: 0.020000
Training Epoch: 28 [14592/46200]	Loss: 0.3170	LR: 0.020000
Training Epoch: 28 [14848/46200]	Loss: 0.3683	LR: 0.020000
Training Epoch: 28 [15104/46200]	Loss: 0.4163	LR: 0.020000
Training Epoch: 28 [15360/46200]	Loss: 0.2474	LR: 0.020000
Training Epoch: 28 [15616/46200]	Loss: 0.3908	LR: 0.020000
Training Epoch: 28 [15872/46200]	Loss: 0.3941	LR: 0.020000
Training Epoch: 28 [16128/46200]	Loss: 0.3410	LR: 0.020000
Training Epoch: 28 [16384/46200]	Loss: 0.3229	LR: 0.020000
Training Epoch: 28 [16640/46200]	Loss: 0.2794	LR: 0.020000
Training Epoch: 28 [16896/46200]	Loss: 0.2712	LR: 0.020000
Training Epoch: 28 [17152/46200]	Loss: 0.3577	LR: 0.020000
Training Epoch: 28 [17408/46200]	Loss: 0.2988	LR: 0.020000
Training Epoch: 28 [17664/46200]	Loss: 0.2916	LR: 0.020000
Training Epoch: 28 [17920/46200]	Loss: 0.2835	LR: 0.020000
Training Epoch: 28 [18176/46200]	Loss: 0.3461	LR: 0.020000
Training Epoch: 28 [18432/46200]	Loss: 0.3922	LR: 0.020000
Training Epoch: 28 [18688/46200]	Loss: 0.3970	LR: 0.020000
Training Epoch: 28 [18944/46200]	Loss: 0.2417	LR: 0.020000
Training Epoch: 28 [19200/46200]	Loss: 0.3292	LR: 0.020000
Training Epoch: 28 [19456/46200]	Loss: 0.3562	LR: 0.020000
Training Epoch: 28 [19712/46200]	Loss: 0.4043	LR: 0.020000
Training Epoch: 28 [19968/46200]	Loss: 0.3174	LR: 0.020000
Training Epoch: 28 [20224/46200]	Loss: 0.3349	LR: 0.020000
Training Epoch: 28 [20480/46200]	Loss: 0.4272	LR: 0.020000
Training Epoch: 28 [20736/46200]	Loss: 0.3219	LR: 0.020000
Training Epoch: 28 [20992/46200]	Loss: 0.2929	LR: 0.020000
Training Epoch: 28 [21248/46200]	Loss: 0.2823	LR: 0.020000
Training Epoch: 28 [21504/46200]	Loss: 0.2315	LR: 0.020000
Training Epoch: 28 [21760/46200]	Loss: 0.2959	LR: 0.020000
Training Epoch: 28 [22016/46200]	Loss: 0.2724	LR: 0.020000
Training Epoch: 28 [22272/46200]	Loss: 0.3921	LR: 0.020000
Training Epoch: 28 [22528/46200]	Loss: 0.2934	LR: 0.020000
Training Epoch: 28 [22784/46200]	Loss: 0.4344	LR: 0.020000
Training Epoch: 28 [23040/46200]	Loss: 0.3569	LR: 0.020000
Training Epoch: 28 [23296/46200]	Loss: 0.3840	LR: 0.020000
Training Epoch: 28 [23552/46200]	Loss: 0.3401	LR: 0.020000
Training Epoch: 28 [23808/46200]	Loss: 0.4490	LR: 0.020000
Training Epoch: 28 [24064/46200]	Loss: 0.3509	LR: 0.020000
Training Epoch: 28 [24320/46200]	Loss: 0.3276	LR: 0.020000
Training Epoch: 28 [24576/46200]	Loss: 0.3651	LR: 0.020000
Training Epoch: 28 [24832/46200]	Loss: 0.3601	LR: 0.020000
Training Epoch: 28 [25088/46200]	Loss: 0.3736	LR: 0.020000
Training Epoch: 28 [25344/46200]	Loss: 0.3824	LR: 0.020000
Training Epoch: 28 [25600/46200]	Loss: 0.3831	LR: 0.020000
Training Epoch: 28 [25856/46200]	Loss: 0.3539	LR: 0.020000
Training Epoch: 28 [26112/46200]	Loss: 0.3619	LR: 0.020000
Training Epoch: 28 [26368/46200]	Loss: 0.3302	LR: 0.020000
Training Epoch: 28 [26624/46200]	Loss: 0.4237	LR: 0.020000
Training Epoch: 28 [26880/46200]	Loss: 0.4187	LR: 0.020000
Training Epoch: 28 [27136/46200]	Loss: 0.2897	LR: 0.020000
Training Epoch: 28 [27392/46200]	Loss: 0.2785	LR: 0.020000
Training Epoch: 28 [27648/46200]	Loss: 0.3397	LR: 0.020000
Training Epoch: 28 [27904/46200]	Loss: 0.3156	LR: 0.020000
Training Epoch: 28 [28160/46200]	Loss: 0.3976	LR: 0.020000
Training Epoch: 28 [28416/46200]	Loss: 0.4268	LR: 0.020000
Training Epoch: 28 [28672/46200]	Loss: 0.3407	LR: 0.020000
Training Epoch: 28 [28928/46200]	Loss: 0.3324	LR: 0.020000
Training Epoch: 28 [29184/46200]	Loss: 0.3585	LR: 0.020000
Training Epoch: 28 [29440/46200]	Loss: 0.3772	LR: 0.020000
Training Epoch: 28 [29696/46200]	Loss: 0.3692	LR: 0.020000
Training Epoch: 28 [29952/46200]	Loss: 0.3581	LR: 0.020000
Training Epoch: 28 [30208/46200]	Loss: 0.2941	LR: 0.020000
Training Epoch: 28 [30464/46200]	Loss: 0.3883	LR: 0.020000
Training Epoch: 28 [30720/46200]	Loss: 0.2779	LR: 0.020000
Training Epoch: 28 [30976/46200]	Loss: 0.3829	LR: 0.020000
Training Epoch: 28 [31232/46200]	Loss: 0.3436	LR: 0.020000
Training Epoch: 28 [31488/46200]	Loss: 0.4190	LR: 0.020000
Training Epoch: 28 [31744/46200]	Loss: 0.3620	LR: 0.020000
Training Epoch: 28 [32000/46200]	Loss: 0.3511	LR: 0.020000
Training Epoch: 28 [32256/46200]	Loss: 0.3903	LR: 0.020000
Training Epoch: 28 [32512/46200]	Loss: 0.4201	LR: 0.020000
Training Epoch: 28 [32768/46200]	Loss: 0.3326	LR: 0.020000
Training Epoch: 28 [33024/46200]	Loss: 0.4194	LR: 0.020000
Training Epoch: 28 [33280/46200]	Loss: 0.4076	LR: 0.020000
Training Epoch: 28 [33536/46200]	Loss: 0.4730	LR: 0.020000
Training Epoch: 28 [33792/46200]	Loss: 0.3256	LR: 0.020000
Training Epoch: 28 [34048/46200]	Loss: 0.4675	LR: 0.020000
Training Epoch: 28 [34304/46200]	Loss: 0.3014	LR: 0.020000
Training Epoch: 28 [34560/46200]	Loss: 0.4280	LR: 0.020000
Training Epoch: 28 [34816/46200]	Loss: 0.2998	LR: 0.020000
Training Epoch: 28 [35072/46200]	Loss: 0.3416	LR: 0.020000
Training Epoch: 28 [35328/46200]	Loss: 0.3755	LR: 0.020000
Training Epoch: 28 [35584/46200]	Loss: 0.3111	LR: 0.020000
Training Epoch: 28 [35840/46200]	Loss: 0.4486	LR: 0.020000
Training Epoch: 28 [36096/46200]	Loss: 0.3713	LR: 0.020000
Training Epoch: 28 [36352/46200]	Loss: 0.3045	LR: 0.020000
Training Epoch: 28 [36608/46200]	Loss: 0.3391	LR: 0.020000
Training Epoch: 28 [36864/46200]	Loss: 0.4162	LR: 0.020000
Training Epoch: 28 [37120/46200]	Loss: 0.3813	LR: 0.020000
Training Epoch: 28 [37376/46200]	Loss: 0.4426	LR: 0.020000
Training Epoch: 28 [37632/46200]	Loss: 0.3953	LR: 0.020000
Training Epoch: 28 [37888/46200]	Loss: 0.3501	LR: 0.020000
Training Epoch: 28 [38144/46200]	Loss: 0.4074	LR: 0.020000
Training Epoch: 28 [38400/46200]	Loss: 0.3508	LR: 0.020000
Training Epoch: 28 [38656/46200]	Loss: 0.4679	LR: 0.020000
Training Epoch: 28 [38912/46200]	Loss: 0.3780	LR: 0.020000
Training Epoch: 28 [39168/46200]	Loss: 0.3539	LR: 0.020000
Training Epoch: 28 [39424/46200]	Loss: 0.3387	LR: 0.020000
Training Epoch: 28 [39680/46200]	Loss: 0.3474	LR: 0.020000
Training Epoch: 28 [39936/46200]	Loss: 0.3797	LR: 0.020000
Training Epoch: 28 [40192/46200]	Loss: 0.4160	LR: 0.020000
Training Epoch: 28 [40448/46200]	Loss: 0.3499	LR: 0.020000
Training Epoch: 28 [40704/46200]	Loss: 0.3761	LR: 0.020000
Training Epoch: 28 [40960/46200]	Loss: 0.3340	LR: 0.020000
Training Epoch: 28 [41216/46200]	Loss: 0.3173	LR: 0.020000
Training Epoch: 28 [41472/46200]	Loss: 0.3580	LR: 0.020000
Training Epoch: 28 [41728/46200]	Loss: 0.3818	LR: 0.020000
Training Epoch: 28 [41984/46200]	Loss: 0.3427	LR: 0.020000
Training Epoch: 28 [42240/46200]	Loss: 0.4668	LR: 0.020000
Training Epoch: 28 [42496/46200]	Loss: 0.4544	LR: 0.020000
Training Epoch: 28 [42752/46200]	Loss: 0.3446	LR: 0.020000
Training Epoch: 28 [43008/46200]	Loss: 0.4247	LR: 0.020000
Training Epoch: 28 [43264/46200]	Loss: 0.3705	LR: 0.020000
Training Epoch: 28 [43520/46200]	Loss: 0.3341	LR: 0.020000
Training Epoch: 28 [43776/46200]	Loss: 0.3689	LR: 0.020000
Training Epoch: 28 [44032/46200]	Loss: 0.3350	LR: 0.020000
Training Epoch: 28 [44288/46200]	Loss: 0.3411	LR: 0.020000
Training Epoch: 28 [44544/46200]	Loss: 0.4168	LR: 0.020000
Training Epoch: 28 [44800/46200]	Loss: 0.3300	LR: 0.020000
Training Epoch: 28 [45056/46200]	Loss: 0.3916	LR: 0.020000
Training Epoch: 28 [45312/46200]	Loss: 0.4042	LR: 0.020000
Training Epoch: 28 [45568/46200]	Loss: 0.3954	LR: 0.020000
Training Epoch: 28 [45824/46200]	Loss: 0.3829	LR: 0.020000
Training Epoch: 28 [46080/46200]	Loss: 0.2963	LR: 0.020000
Training Epoch: 28 [46200/46200]	Loss: 0.3231	LR: 0.020000
Epoch 28 - Average Train Loss: 0.3506, Train Accuracy: 0.8819
Epoch 28 training time consumed: 27.90s
Evaluating Network.....
Test set: Epoch: 28, Average loss: 0.0034, Accuracy: 0.7654, Time consumed:0.94s
Training Epoch: 29 [256/46200]	Loss: 0.3507	LR: 0.020000
Training Epoch: 29 [512/46200]	Loss: 0.3388	LR: 0.020000
Training Epoch: 29 [768/46200]	Loss: 0.2661	LR: 0.020000
Training Epoch: 29 [1024/46200]	Loss: 0.3649	LR: 0.020000
Training Epoch: 29 [1280/46200]	Loss: 0.3437	LR: 0.020000
Training Epoch: 29 [1536/46200]	Loss: 0.3708	LR: 0.020000
Training Epoch: 29 [1792/46200]	Loss: 0.3189	LR: 0.020000
Training Epoch: 29 [2048/46200]	Loss: 0.3032	LR: 0.020000
Training Epoch: 29 [2304/46200]	Loss: 0.3192	LR: 0.020000
Training Epoch: 29 [2560/46200]	Loss: 0.3550	LR: 0.020000
Training Epoch: 29 [2816/46200]	Loss: 0.2948	LR: 0.020000
Training Epoch: 29 [3072/46200]	Loss: 0.3896	LR: 0.020000
Training Epoch: 29 [3328/46200]	Loss: 0.3389	LR: 0.020000
Training Epoch: 29 [3584/46200]	Loss: 0.2869	LR: 0.020000
Training Epoch: 29 [3840/46200]	Loss: 0.3223	LR: 0.020000
Training Epoch: 29 [4096/46200]	Loss: 0.2605	LR: 0.020000
Training Epoch: 29 [4352/46200]	Loss: 0.3492	LR: 0.020000
Training Epoch: 29 [4608/46200]	Loss: 0.2573	LR: 0.020000
Training Epoch: 29 [4864/46200]	Loss: 0.2956	LR: 0.020000
Training Epoch: 29 [5120/46200]	Loss: 0.2698	LR: 0.020000
Training Epoch: 29 [5376/46200]	Loss: 0.3198	LR: 0.020000
Training Epoch: 29 [5632/46200]	Loss: 0.3645	LR: 0.020000
Training Epoch: 29 [5888/46200]	Loss: 0.3926	LR: 0.020000
Training Epoch: 29 [6144/46200]	Loss: 0.3859	LR: 0.020000
Training Epoch: 29 [6400/46200]	Loss: 0.3417	LR: 0.020000
Training Epoch: 29 [6656/46200]	Loss: 0.3394	LR: 0.020000
Training Epoch: 29 [6912/46200]	Loss: 0.3003	LR: 0.020000
Training Epoch: 29 [7168/46200]	Loss: 0.3818	LR: 0.020000
Training Epoch: 29 [7424/46200]	Loss: 0.2855	LR: 0.020000
Training Epoch: 29 [7680/46200]	Loss: 0.3621	LR: 0.020000
Training Epoch: 29 [7936/46200]	Loss: 0.3233	LR: 0.020000
Training Epoch: 29 [8192/46200]	Loss: 0.3419	LR: 0.020000
Training Epoch: 29 [8448/46200]	Loss: 0.4353	LR: 0.020000
Training Epoch: 29 [8704/46200]	Loss: 0.3109	LR: 0.020000
Training Epoch: 29 [8960/46200]	Loss: 0.3806	LR: 0.020000
Training Epoch: 29 [9216/46200]	Loss: 0.3914	LR: 0.020000
Training Epoch: 29 [9472/46200]	Loss: 0.3247	LR: 0.020000
Training Epoch: 29 [9728/46200]	Loss: 0.3749	LR: 0.020000
Training Epoch: 29 [9984/46200]	Loss: 0.3509	LR: 0.020000
Training Epoch: 29 [10240/46200]	Loss: 0.3319	LR: 0.020000
Training Epoch: 29 [10496/46200]	Loss: 0.3491	LR: 0.020000
Training Epoch: 29 [10752/46200]	Loss: 0.3738	LR: 0.020000
Training Epoch: 29 [11008/46200]	Loss: 0.3207	LR: 0.020000
Training Epoch: 29 [11264/46200]	Loss: 0.3245	LR: 0.020000
Training Epoch: 29 [11520/46200]	Loss: 0.3889	LR: 0.020000
Training Epoch: 29 [11776/46200]	Loss: 0.3965	LR: 0.020000
Training Epoch: 29 [12032/46200]	Loss: 0.3507	LR: 0.020000
Training Epoch: 29 [12288/46200]	Loss: 0.4917	LR: 0.020000
Training Epoch: 29 [12544/46200]	Loss: 0.3521	LR: 0.020000
Training Epoch: 29 [12800/46200]	Loss: 0.2858	LR: 0.020000
Training Epoch: 29 [13056/46200]	Loss: 0.3884	LR: 0.020000
Training Epoch: 29 [13312/46200]	Loss: 0.3339	LR: 0.020000
Training Epoch: 29 [13568/46200]	Loss: 0.2891	LR: 0.020000
Training Epoch: 29 [13824/46200]	Loss: 0.2378	LR: 0.020000
Training Epoch: 29 [14080/46200]	Loss: 0.3071	LR: 0.020000
Training Epoch: 29 [14336/46200]	Loss: 0.3355	LR: 0.020000
Training Epoch: 29 [14592/46200]	Loss: 0.2514	LR: 0.020000
Training Epoch: 29 [14848/46200]	Loss: 0.3042	LR: 0.020000
Training Epoch: 29 [15104/46200]	Loss: 0.2516	LR: 0.020000
Training Epoch: 29 [15360/46200]	Loss: 0.3867	LR: 0.020000
Training Epoch: 29 [15616/46200]	Loss: 0.3556	LR: 0.020000
Training Epoch: 29 [15872/46200]	Loss: 0.2745	LR: 0.020000
Training Epoch: 29 [16128/46200]	Loss: 0.3950	LR: 0.020000
Training Epoch: 29 [16384/46200]	Loss: 0.1906	LR: 0.020000
Training Epoch: 29 [16640/46200]	Loss: 0.3958	LR: 0.020000
Training Epoch: 29 [16896/46200]	Loss: 0.3495	LR: 0.020000
Training Epoch: 29 [17152/46200]	Loss: 0.2537	LR: 0.020000
Training Epoch: 29 [17408/46200]	Loss: 0.2722	LR: 0.020000
Training Epoch: 29 [17664/46200]	Loss: 0.2744	LR: 0.020000
Training Epoch: 29 [17920/46200]	Loss: 0.3616	LR: 0.020000
Training Epoch: 29 [18176/46200]	Loss: 0.3064	LR: 0.020000
Training Epoch: 29 [18432/46200]	Loss: 0.3098	LR: 0.020000
Training Epoch: 29 [18688/46200]	Loss: 0.3457	LR: 0.020000
Training Epoch: 29 [18944/46200]	Loss: 0.3455	LR: 0.020000
Training Epoch: 29 [19200/46200]	Loss: 0.3343	LR: 0.020000
Training Epoch: 29 [19456/46200]	Loss: 0.3202	LR: 0.020000
Training Epoch: 29 [19712/46200]	Loss: 0.4340	LR: 0.020000
Training Epoch: 29 [19968/46200]	Loss: 0.3382	LR: 0.020000
Training Epoch: 29 [20224/46200]	Loss: 0.3624	LR: 0.020000
Training Epoch: 29 [20480/46200]	Loss: 0.4328	LR: 0.020000
Training Epoch: 29 [20736/46200]	Loss: 0.3304	LR: 0.020000
Training Epoch: 29 [20992/46200]	Loss: 0.3802	LR: 0.020000
Training Epoch: 29 [21248/46200]	Loss: 0.2551	LR: 0.020000
Training Epoch: 29 [21504/46200]	Loss: 0.3068	LR: 0.020000
Training Epoch: 29 [21760/46200]	Loss: 0.3759	LR: 0.020000
Training Epoch: 29 [22016/46200]	Loss: 0.2778	LR: 0.020000
Training Epoch: 29 [22272/46200]	Loss: 0.3367	LR: 0.020000
Training Epoch: 29 [22528/46200]	Loss: 0.3030	LR: 0.020000
Training Epoch: 29 [22784/46200]	Loss: 0.3405	LR: 0.020000
Training Epoch: 29 [23040/46200]	Loss: 0.3262	LR: 0.020000
Training Epoch: 29 [23296/46200]	Loss: 0.3709	LR: 0.020000
Training Epoch: 29 [23552/46200]	Loss: 0.3388	LR: 0.020000
Training Epoch: 29 [23808/46200]	Loss: 0.3396	LR: 0.020000
Training Epoch: 29 [24064/46200]	Loss: 0.3567	LR: 0.020000
Training Epoch: 29 [24320/46200]	Loss: 0.2845	LR: 0.020000
Training Epoch: 29 [24576/46200]	Loss: 0.3423	LR: 0.020000
Training Epoch: 29 [24832/46200]	Loss: 0.4102	LR: 0.020000
Training Epoch: 29 [25088/46200]	Loss: 0.2750	LR: 0.020000
Training Epoch: 29 [25344/46200]	Loss: 0.4033	LR: 0.020000
Training Epoch: 29 [25600/46200]	Loss: 0.2941	LR: 0.020000
Training Epoch: 29 [25856/46200]	Loss: 0.4892	LR: 0.020000
Training Epoch: 29 [26112/46200]	Loss: 0.2422	LR: 0.020000
Training Epoch: 29 [26368/46200]	Loss: 0.2159	LR: 0.020000
Training Epoch: 29 [26624/46200]	Loss: 0.3221	LR: 0.020000
Training Epoch: 29 [26880/46200]	Loss: 0.3076	LR: 0.020000
Training Epoch: 29 [27136/46200]	Loss: 0.2955	LR: 0.020000
Training Epoch: 29 [27392/46200]	Loss: 0.3221	LR: 0.020000
Training Epoch: 29 [27648/46200]	Loss: 0.3817	LR: 0.020000
Training Epoch: 29 [27904/46200]	Loss: 0.4235	LR: 0.020000
Training Epoch: 29 [28160/46200]	Loss: 0.3966	LR: 0.020000
Training Epoch: 29 [28416/46200]	Loss: 0.3790	LR: 0.020000
Training Epoch: 29 [28672/46200]	Loss: 0.3466	LR: 0.020000
Training Epoch: 29 [28928/46200]	Loss: 0.3801	LR: 0.020000
Training Epoch: 29 [29184/46200]	Loss: 0.2740	LR: 0.020000
Training Epoch: 29 [29440/46200]	Loss: 0.3224	LR: 0.020000
Training Epoch: 29 [29696/46200]	Loss: 0.3515	LR: 0.020000
Training Epoch: 29 [29952/46200]	Loss: 0.3481	LR: 0.020000
Training Epoch: 29 [30208/46200]	Loss: 0.3451	LR: 0.020000
Training Epoch: 29 [30464/46200]	Loss: 0.3131	LR: 0.020000
Training Epoch: 29 [30720/46200]	Loss: 0.2802	LR: 0.020000
Training Epoch: 29 [30976/46200]	Loss: 0.2930	LR: 0.020000
Training Epoch: 29 [31232/46200]	Loss: 0.3698	LR: 0.020000
Training Epoch: 29 [31488/46200]	Loss: 0.3002	LR: 0.020000
Training Epoch: 29 [31744/46200]	Loss: 0.3953	LR: 0.020000
Training Epoch: 29 [32000/46200]	Loss: 0.3092	LR: 0.020000
Training Epoch: 29 [32256/46200]	Loss: 0.3608	LR: 0.020000
Training Epoch: 29 [32512/46200]	Loss: 0.3159	LR: 0.020000
Training Epoch: 29 [32768/46200]	Loss: 0.3680	LR: 0.020000
Training Epoch: 29 [33024/46200]	Loss: 0.3383	LR: 0.020000
Training Epoch: 29 [33280/46200]	Loss: 0.2994	LR: 0.020000
Training Epoch: 29 [33536/46200]	Loss: 0.3393	LR: 0.020000
Training Epoch: 29 [33792/46200]	Loss: 0.4276	LR: 0.020000
Training Epoch: 29 [34048/46200]	Loss: 0.4059	LR: 0.020000
Training Epoch: 29 [34304/46200]	Loss: 0.3530	LR: 0.020000
Training Epoch: 29 [34560/46200]	Loss: 0.3518	LR: 0.020000
Training Epoch: 29 [34816/46200]	Loss: 0.3599	LR: 0.020000
Training Epoch: 29 [35072/46200]	Loss: 0.4095	LR: 0.020000
Training Epoch: 29 [35328/46200]	Loss: 0.3013	LR: 0.020000
Training Epoch: 29 [35584/46200]	Loss: 0.3934	LR: 0.020000
Training Epoch: 29 [35840/46200]	Loss: 0.3000	LR: 0.020000
Training Epoch: 29 [36096/46200]	Loss: 0.4402	LR: 0.020000
Training Epoch: 29 [36352/46200]	Loss: 0.3696	LR: 0.020000
Training Epoch: 29 [36608/46200]	Loss: 0.2618	LR: 0.020000
Training Epoch: 29 [36864/46200]	Loss: 0.3227	LR: 0.020000
Training Epoch: 29 [37120/46200]	Loss: 0.3881	LR: 0.020000
Training Epoch: 29 [37376/46200]	Loss: 0.4221	LR: 0.020000
Training Epoch: 29 [37632/46200]	Loss: 0.2909	LR: 0.020000
Training Epoch: 29 [37888/46200]	Loss: 0.3948	LR: 0.020000
Training Epoch: 29 [38144/46200]	Loss: 0.3385	LR: 0.020000
Training Epoch: 29 [38400/46200]	Loss: 0.3607	LR: 0.020000
Training Epoch: 29 [38656/46200]	Loss: 0.3406	LR: 0.020000
Training Epoch: 29 [38912/46200]	Loss: 0.4748	LR: 0.020000
Training Epoch: 29 [39168/46200]	Loss: 0.3775	LR: 0.020000
Training Epoch: 29 [39424/46200]	Loss: 0.3559	LR: 0.020000
Training Epoch: 29 [39680/46200]	Loss: 0.4102	LR: 0.020000
Training Epoch: 29 [39936/46200]	Loss: 0.3880	LR: 0.020000
Training Epoch: 29 [40192/46200]	Loss: 0.4779	LR: 0.020000
Training Epoch: 29 [40448/46200]	Loss: 0.4640	LR: 0.020000
Training Epoch: 29 [40704/46200]	Loss: 0.3408	LR: 0.020000
Training Epoch: 29 [40960/46200]	Loss: 0.2943	LR: 0.020000
Training Epoch: 29 [41216/46200]	Loss: 0.4118	LR: 0.020000
Training Epoch: 29 [41472/46200]	Loss: 0.3038	LR: 0.020000
Training Epoch: 29 [41728/46200]	Loss: 0.3518	LR: 0.020000
Training Epoch: 29 [41984/46200]	Loss: 0.3937	LR: 0.020000
Training Epoch: 29 [42240/46200]	Loss: 0.3532	LR: 0.020000
Training Epoch: 29 [42496/46200]	Loss: 0.2955	LR: 0.020000
Training Epoch: 29 [42752/46200]	Loss: 0.4338	LR: 0.020000
Training Epoch: 29 [43008/46200]	Loss: 0.3740	LR: 0.020000
Training Epoch: 29 [43264/46200]	Loss: 0.3771	LR: 0.020000
Training Epoch: 29 [43520/46200]	Loss: 0.3312	LR: 0.020000
Training Epoch: 29 [43776/46200]	Loss: 0.3511	LR: 0.020000
Training Epoch: 29 [44032/46200]	Loss: 0.4134	LR: 0.020000
Training Epoch: 29 [44288/46200]	Loss: 0.3696	LR: 0.020000
Training Epoch: 29 [44544/46200]	Loss: 0.3721	LR: 0.020000
Training Epoch: 29 [44800/46200]	Loss: 0.3603	LR: 0.020000
Training Epoch: 29 [45056/46200]	Loss: 0.3929	LR: 0.020000
Training Epoch: 29 [45312/46200]	Loss: 0.3247	LR: 0.020000
Training Epoch: 29 [45568/46200]	Loss: 0.2736	LR: 0.020000
Training Epoch: 29 [45824/46200]	Loss: 0.4565	LR: 0.020000
Training Epoch: 29 [46080/46200]	Loss: 0.3731	LR: 0.020000
Training Epoch: 29 [46200/46200]	Loss: 0.4169	LR: 0.020000
Epoch 29 - Average Train Loss: 0.3447, Train Accuracy: 0.8850
Epoch 29 training time consumed: 27.98s
Evaluating Network.....
Test set: Epoch: 29, Average loss: 0.0033, Accuracy: 0.7673, Time consumed:0.91s
Training Epoch: 30 [256/46200]	Loss: 0.2261	LR: 0.004000
Training Epoch: 30 [512/46200]	Loss: 0.2791	LR: 0.004000
Training Epoch: 30 [768/46200]	Loss: 0.3682	LR: 0.004000
Training Epoch: 30 [1024/46200]	Loss: 0.3000	LR: 0.004000
Training Epoch: 30 [1280/46200]	Loss: 0.2386	LR: 0.004000
Training Epoch: 30 [1536/46200]	Loss: 0.3436	LR: 0.004000
Training Epoch: 30 [1792/46200]	Loss: 0.3394	LR: 0.004000
Training Epoch: 30 [2048/46200]	Loss: 0.3259	LR: 0.004000
Training Epoch: 30 [2304/46200]	Loss: 0.3124	LR: 0.004000
Training Epoch: 30 [2560/46200]	Loss: 0.2704	LR: 0.004000
Training Epoch: 30 [2816/46200]	Loss: 0.3269	LR: 0.004000
Training Epoch: 30 [3072/46200]	Loss: 0.2792	LR: 0.004000
Training Epoch: 30 [3328/46200]	Loss: 0.3038	LR: 0.004000
Training Epoch: 30 [3584/46200]	Loss: 0.2798	LR: 0.004000
Training Epoch: 30 [3840/46200]	Loss: 0.2570	LR: 0.004000
Training Epoch: 30 [4096/46200]	Loss: 0.2559	LR: 0.004000
Training Epoch: 30 [4352/46200]	Loss: 0.3171	LR: 0.004000
Training Epoch: 30 [4608/46200]	Loss: 0.3374	LR: 0.004000
Training Epoch: 30 [4864/46200]	Loss: 0.2356	LR: 0.004000
Training Epoch: 30 [5120/46200]	Loss: 0.2830	LR: 0.004000
Training Epoch: 30 [5376/46200]	Loss: 0.2846	LR: 0.004000
Training Epoch: 30 [5632/46200]	Loss: 0.2463	LR: 0.004000
Training Epoch: 30 [5888/46200]	Loss: 0.2758	LR: 0.004000
Training Epoch: 30 [6144/46200]	Loss: 0.2762	LR: 0.004000
Training Epoch: 30 [6400/46200]	Loss: 0.2966	LR: 0.004000
Training Epoch: 30 [6656/46200]	Loss: 0.1954	LR: 0.004000
Training Epoch: 30 [6912/46200]	Loss: 0.2573	LR: 0.004000
Training Epoch: 30 [7168/46200]	Loss: 0.2243	LR: 0.004000
Training Epoch: 30 [7424/46200]	Loss: 0.2396	LR: 0.004000
Training Epoch: 30 [7680/46200]	Loss: 0.2019	LR: 0.004000
Training Epoch: 30 [7936/46200]	Loss: 0.2645	LR: 0.004000
Training Epoch: 30 [8192/46200]	Loss: 0.2365	LR: 0.004000
Training Epoch: 30 [8448/46200]	Loss: 0.2186	LR: 0.004000
Training Epoch: 30 [8704/46200]	Loss: 0.2003	LR: 0.004000
Training Epoch: 30 [8960/46200]	Loss: 0.2728	LR: 0.004000
Training Epoch: 30 [9216/46200]	Loss: 0.2357	LR: 0.004000
Training Epoch: 30 [9472/46200]	Loss: 0.2953	LR: 0.004000
Training Epoch: 30 [9728/46200]	Loss: 0.2700	LR: 0.004000
Training Epoch: 30 [9984/46200]	Loss: 0.2929	LR: 0.004000
Training Epoch: 30 [10240/46200]	Loss: 0.2565	LR: 0.004000
Training Epoch: 30 [10496/46200]	Loss: 0.2501	LR: 0.004000
Training Epoch: 30 [10752/46200]	Loss: 0.2542	LR: 0.004000
Training Epoch: 30 [11008/46200]	Loss: 0.2548	LR: 0.004000
Training Epoch: 30 [11264/46200]	Loss: 0.2012	LR: 0.004000
Training Epoch: 30 [11520/46200]	Loss: 0.2328	LR: 0.004000
Training Epoch: 30 [11776/46200]	Loss: 0.2291	LR: 0.004000
Training Epoch: 30 [12032/46200]	Loss: 0.2787	LR: 0.004000
Training Epoch: 30 [12288/46200]	Loss: 0.2050	LR: 0.004000
Training Epoch: 30 [12544/46200]	Loss: 0.2247	LR: 0.004000
Training Epoch: 30 [12800/46200]	Loss: 0.2838	LR: 0.004000
Training Epoch: 30 [13056/46200]	Loss: 0.1644	LR: 0.004000
Training Epoch: 30 [13312/46200]	Loss: 0.2093	LR: 0.004000
Training Epoch: 30 [13568/46200]	Loss: 0.2345	LR: 0.004000
Training Epoch: 30 [13824/46200]	Loss: 0.2290	LR: 0.004000
Training Epoch: 30 [14080/46200]	Loss: 0.2122	LR: 0.004000
Training Epoch: 30 [14336/46200]	Loss: 0.2769	LR: 0.004000
Training Epoch: 30 [14592/46200]	Loss: 0.2312	LR: 0.004000
Training Epoch: 30 [14848/46200]	Loss: 0.2131	LR: 0.004000
Training Epoch: 30 [15104/46200]	Loss: 0.1971	LR: 0.004000
Training Epoch: 30 [15360/46200]	Loss: 0.1892	LR: 0.004000
Training Epoch: 30 [15616/46200]	Loss: 0.2425	LR: 0.004000
Training Epoch: 30 [15872/46200]	Loss: 0.2107	LR: 0.004000
Training Epoch: 30 [16128/46200]	Loss: 0.1682	LR: 0.004000
Training Epoch: 30 [16384/46200]	Loss: 0.2110	LR: 0.004000
Training Epoch: 30 [16640/46200]	Loss: 0.1974	LR: 0.004000
Training Epoch: 30 [16896/46200]	Loss: 0.1732	LR: 0.004000
Training Epoch: 30 [17152/46200]	Loss: 0.2632	LR: 0.004000
Training Epoch: 30 [17408/46200]	Loss: 0.2060	LR: 0.004000
Training Epoch: 30 [17664/46200]	Loss: 0.1601	LR: 0.004000
Training Epoch: 30 [17920/46200]	Loss: 0.1768	LR: 0.004000
Training Epoch: 30 [18176/46200]	Loss: 0.1655	LR: 0.004000
Training Epoch: 30 [18432/46200]	Loss: 0.2336	LR: 0.004000
Training Epoch: 30 [18688/46200]	Loss: 0.2929	LR: 0.004000
Training Epoch: 30 [18944/46200]	Loss: 0.2092	LR: 0.004000
Training Epoch: 30 [19200/46200]	Loss: 0.2127	LR: 0.004000
Training Epoch: 30 [19456/46200]	Loss: 0.2362	LR: 0.004000
Training Epoch: 30 [19712/46200]	Loss: 0.2340	LR: 0.004000
Training Epoch: 30 [19968/46200]	Loss: 0.1499	LR: 0.004000
Training Epoch: 30 [20224/46200]	Loss: 0.1644	LR: 0.004000
Training Epoch: 30 [20480/46200]	Loss: 0.2130	LR: 0.004000
Training Epoch: 30 [20736/46200]	Loss: 0.2493	LR: 0.004000
Training Epoch: 30 [20992/46200]	Loss: 0.3017	LR: 0.004000
Training Epoch: 30 [21248/46200]	Loss: 0.2533	LR: 0.004000
Training Epoch: 30 [21504/46200]	Loss: 0.2530	LR: 0.004000
Training Epoch: 30 [21760/46200]	Loss: 0.2104	LR: 0.004000
Training Epoch: 30 [22016/46200]	Loss: 0.1579	LR: 0.004000
Training Epoch: 30 [22272/46200]	Loss: 0.1982	LR: 0.004000
Training Epoch: 30 [22528/46200]	Loss: 0.2020	LR: 0.004000
Training Epoch: 30 [22784/46200]	Loss: 0.2610	LR: 0.004000
Training Epoch: 30 [23040/46200]	Loss: 0.2212	LR: 0.004000
Training Epoch: 30 [23296/46200]	Loss: 0.1804	LR: 0.004000
Training Epoch: 30 [23552/46200]	Loss: 0.2590	LR: 0.004000
Training Epoch: 30 [23808/46200]	Loss: 0.2198	LR: 0.004000
Training Epoch: 30 [24064/46200]	Loss: 0.2347	LR: 0.004000
Training Epoch: 30 [24320/46200]	Loss: 0.2714	LR: 0.004000
Training Epoch: 30 [24576/46200]	Loss: 0.2687	LR: 0.004000
Training Epoch: 30 [24832/46200]	Loss: 0.1637	LR: 0.004000
Training Epoch: 30 [25088/46200]	Loss: 0.1839	LR: 0.004000
Training Epoch: 30 [25344/46200]	Loss: 0.1937	LR: 0.004000
Training Epoch: 30 [25600/46200]	Loss: 0.2192	LR: 0.004000
Training Epoch: 30 [25856/46200]	Loss: 0.2100	LR: 0.004000
Training Epoch: 30 [26112/46200]	Loss: 0.1774	LR: 0.004000
Training Epoch: 30 [26368/46200]	Loss: 0.1982	LR: 0.004000
Training Epoch: 30 [26624/46200]	Loss: 0.2251	LR: 0.004000
Training Epoch: 30 [26880/46200]	Loss: 0.1696	LR: 0.004000
Training Epoch: 30 [27136/46200]	Loss: 0.1576	LR: 0.004000
Training Epoch: 30 [27392/46200]	Loss: 0.2496	LR: 0.004000
Training Epoch: 30 [27648/46200]	Loss: 0.1829	LR: 0.004000
Training Epoch: 30 [27904/46200]	Loss: 0.2386	LR: 0.004000
Training Epoch: 30 [28160/46200]	Loss: 0.1861	LR: 0.004000
Training Epoch: 30 [28416/46200]	Loss: 0.2116	LR: 0.004000
Training Epoch: 30 [28672/46200]	Loss: 0.2200	LR: 0.004000
Training Epoch: 30 [28928/46200]	Loss: 0.1865	LR: 0.004000
Training Epoch: 30 [29184/46200]	Loss: 0.2502	LR: 0.004000
Training Epoch: 30 [29440/46200]	Loss: 0.1901	LR: 0.004000
Training Epoch: 30 [29696/46200]	Loss: 0.2400	LR: 0.004000
Training Epoch: 30 [29952/46200]	Loss: 0.1924	LR: 0.004000
Training Epoch: 30 [30208/46200]	Loss: 0.1800	LR: 0.004000
Training Epoch: 30 [30464/46200]	Loss: 0.2297	LR: 0.004000
Training Epoch: 30 [30720/46200]	Loss: 0.2124	LR: 0.004000
Training Epoch: 30 [30976/46200]	Loss: 0.2736	LR: 0.004000
Training Epoch: 30 [31232/46200]	Loss: 0.2365	LR: 0.004000
Training Epoch: 30 [31488/46200]	Loss: 0.2632	LR: 0.004000
Training Epoch: 30 [31744/46200]	Loss: 0.2467	LR: 0.004000
Training Epoch: 30 [32000/46200]	Loss: 0.1868	LR: 0.004000
Training Epoch: 30 [32256/46200]	Loss: 0.1708	LR: 0.004000
Training Epoch: 30 [32512/46200]	Loss: 0.2287	LR: 0.004000
Training Epoch: 30 [32768/46200]	Loss: 0.2089	LR: 0.004000
Training Epoch: 30 [33024/46200]	Loss: 0.1941	LR: 0.004000
Training Epoch: 30 [33280/46200]	Loss: 0.1698	LR: 0.004000
Training Epoch: 30 [33536/46200]	Loss: 0.1664	LR: 0.004000
Training Epoch: 30 [33792/46200]	Loss: 0.1928	LR: 0.004000
Training Epoch: 30 [34048/46200]	Loss: 0.1729	LR: 0.004000
Training Epoch: 30 [34304/46200]	Loss: 0.1974	LR: 0.004000
Training Epoch: 30 [34560/46200]	Loss: 0.2082	LR: 0.004000
Training Epoch: 30 [34816/46200]	Loss: 0.1815	LR: 0.004000
Training Epoch: 30 [35072/46200]	Loss: 0.2401	LR: 0.004000
Training Epoch: 30 [35328/46200]	Loss: 0.2152	LR: 0.004000
Training Epoch: 30 [35584/46200]	Loss: 0.2423	LR: 0.004000
Training Epoch: 30 [35840/46200]	Loss: 0.1868	LR: 0.004000
Training Epoch: 30 [36096/46200]	Loss: 0.2861	LR: 0.004000
Training Epoch: 30 [36352/46200]	Loss: 0.2525	LR: 0.004000
Training Epoch: 30 [36608/46200]	Loss: 0.2575	LR: 0.004000
Training Epoch: 30 [36864/46200]	Loss: 0.2030	LR: 0.004000
Training Epoch: 30 [37120/46200]	Loss: 0.2175	LR: 0.004000
Training Epoch: 30 [37376/46200]	Loss: 0.1754	LR: 0.004000
Training Epoch: 30 [37632/46200]	Loss: 0.1825	LR: 0.004000
Training Epoch: 30 [37888/46200]	Loss: 0.2333	LR: 0.004000
Training Epoch: 30 [38144/46200]	Loss: 0.2720	LR: 0.004000
Training Epoch: 30 [38400/46200]	Loss: 0.1814	LR: 0.004000
Training Epoch: 30 [38656/46200]	Loss: 0.2080	LR: 0.004000
Training Epoch: 30 [38912/46200]	Loss: 0.2177	LR: 0.004000
Training Epoch: 30 [39168/46200]	Loss: 0.1768	LR: 0.004000
Training Epoch: 30 [39424/46200]	Loss: 0.2303	LR: 0.004000
Training Epoch: 30 [39680/46200]	Loss: 0.2128	LR: 0.004000
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Training Epoch: 30 [40448/46200]	Loss: 0.2643	LR: 0.004000
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Training Epoch: 30 [41984/46200]	Loss: 0.1808	LR: 0.004000
Training Epoch: 30 [42240/46200]	Loss: 0.1668	LR: 0.004000
Training Epoch: 30 [42496/46200]	Loss: 0.2026	LR: 0.004000
Training Epoch: 30 [42752/46200]	Loss: 0.2294	LR: 0.004000
Training Epoch: 30 [43008/46200]	Loss: 0.2246	LR: 0.004000
Training Epoch: 30 [43264/46200]	Loss: 0.2997	LR: 0.004000
Training Epoch: 30 [43520/46200]	Loss: 0.1718	LR: 0.004000
Training Epoch: 30 [43776/46200]	Loss: 0.1394	LR: 0.004000
Training Epoch: 30 [44032/46200]	Loss: 0.2532	LR: 0.004000
Training Epoch: 30 [44288/46200]	Loss: 0.1442	LR: 0.004000
Training Epoch: 30 [44544/46200]	Loss: 0.2068	LR: 0.004000
Training Epoch: 30 [44800/46200]	Loss: 0.1556	LR: 0.004000
Training Epoch: 30 [45056/46200]	Loss: 0.1537	LR: 0.004000
Training Epoch: 30 [45312/46200]	Loss: 0.1971	LR: 0.004000
Training Epoch: 30 [45568/46200]	Loss: 0.2053	LR: 0.004000
Training Epoch: 30 [45824/46200]	Loss: 0.1905	LR: 0.004000
Training Epoch: 30 [46080/46200]	Loss: 0.2646	LR: 0.004000
Training Epoch: 30 [46200/46200]	Loss: 0.1799	LR: 0.004000
Epoch 30 - Average Train Loss: 0.2254, Train Accuracy: 0.9275
Epoch 30 training time consumed: 27.95s
Evaluating Network.....
Test set: Epoch: 30, Average loss: 0.0027, Accuracy: 0.8007, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_04h_41m_48s/ResNet18-Cifar20-seed9-ret25-30-best.pth
Training Epoch: 31 [256/46200]	Loss: 0.1885	LR: 0.004000
Training Epoch: 31 [512/46200]	Loss: 0.1898	LR: 0.004000
Training Epoch: 31 [768/46200]	Loss: 0.1859	LR: 0.004000
Training Epoch: 31 [1024/46200]	Loss: 0.1653	LR: 0.004000
Training Epoch: 31 [1280/46200]	Loss: 0.1426	LR: 0.004000
Training Epoch: 31 [1536/46200]	Loss: 0.2179	LR: 0.004000
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Training Epoch: 31 [40448/46200]	Loss: 0.1535	LR: 0.004000
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Training Epoch: 31 [42496/46200]	Loss: 0.2274	LR: 0.004000
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Training Epoch: 31 [43264/46200]	Loss: 0.1574	LR: 0.004000
Training Epoch: 31 [43520/46200]	Loss: 0.1587	LR: 0.004000
Training Epoch: 31 [43776/46200]	Loss: 0.1721	LR: 0.004000
Training Epoch: 31 [44032/46200]	Loss: 0.1885	LR: 0.004000
Training Epoch: 31 [44288/46200]	Loss: 0.1519	LR: 0.004000
Training Epoch: 31 [44544/46200]	Loss: 0.1807	LR: 0.004000
Training Epoch: 31 [44800/46200]	Loss: 0.1880	LR: 0.004000
Training Epoch: 31 [45056/46200]	Loss: 0.1935	LR: 0.004000
Training Epoch: 31 [45312/46200]	Loss: 0.1791	LR: 0.004000
Training Epoch: 31 [45568/46200]	Loss: 0.1929	LR: 0.004000
Training Epoch: 31 [45824/46200]	Loss: 0.2035	LR: 0.004000
Training Epoch: 31 [46080/46200]	Loss: 0.1831	LR: 0.004000
Training Epoch: 31 [46200/46200]	Loss: 0.1622	LR: 0.004000
Epoch 31 - Average Train Loss: 0.1816, Train Accuracy: 0.9446
Epoch 31 training time consumed: 27.92s
Evaluating Network.....
Test set: Epoch: 31, Average loss: 0.0028, Accuracy: 0.8034, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_04h_41m_48s/ResNet18-Cifar20-seed9-ret25-31-best.pth
Training Epoch: 32 [256/46200]	Loss: 0.1501	LR: 0.004000
Training Epoch: 32 [512/46200]	Loss: 0.1458	LR: 0.004000
Training Epoch: 32 [768/46200]	Loss: 0.1433	LR: 0.004000
Training Epoch: 32 [1024/46200]	Loss: 0.1470	LR: 0.004000
Training Epoch: 32 [1280/46200]	Loss: 0.1905	LR: 0.004000
Training Epoch: 32 [1536/46200]	Loss: 0.2615	LR: 0.004000
Training Epoch: 32 [1792/46200]	Loss: 0.1795	LR: 0.004000
Training Epoch: 32 [2048/46200]	Loss: 0.1904	LR: 0.004000
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Training Epoch: 32 [44544/46200]	Loss: 0.1061	LR: 0.004000
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Training Epoch: 32 [45056/46200]	Loss: 0.1780	LR: 0.004000
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Training Epoch: 32 [45568/46200]	Loss: 0.1624	LR: 0.004000
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Training Epoch: 32 [46080/46200]	Loss: 0.1731	LR: 0.004000
Training Epoch: 32 [46200/46200]	Loss: 0.1231	LR: 0.004000
Epoch 32 - Average Train Loss: 0.1609, Train Accuracy: 0.9511
Epoch 32 training time consumed: 28.03s
Evaluating Network.....
Test set: Epoch: 32, Average loss: 0.0028, Accuracy: 0.8040, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_04h_41m_48s/ResNet18-Cifar20-seed9-ret25-32-best.pth
Training Epoch: 33 [256/46200]	Loss: 0.1420	LR: 0.004000
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Training Epoch: 33 [45824/46200]	Loss: 0.1894	LR: 0.004000
Training Epoch: 33 [46080/46200]	Loss: 0.1330	LR: 0.004000
Training Epoch: 33 [46200/46200]	Loss: 0.1368	LR: 0.004000
Epoch 33 - Average Train Loss: 0.1471, Train Accuracy: 0.9549
Epoch 33 training time consumed: 27.79s
Evaluating Network.....
Test set: Epoch: 33, Average loss: 0.0029, Accuracy: 0.8037, Time consumed:0.89s
Training Epoch: 34 [256/46200]	Loss: 0.1192	LR: 0.004000
Training Epoch: 34 [512/46200]	Loss: 0.1072	LR: 0.004000
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Training Epoch: 34 [1024/46200]	Loss: 0.1847	LR: 0.004000
Training Epoch: 34 [1280/46200]	Loss: 0.1126	LR: 0.004000
Training Epoch: 34 [1536/46200]	Loss: 0.1416	LR: 0.004000
Training Epoch: 34 [1792/46200]	Loss: 0.1360	LR: 0.004000
Training Epoch: 34 [2048/46200]	Loss: 0.1401	LR: 0.004000
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Training Epoch: 34 [3072/46200]	Loss: 0.1694	LR: 0.004000
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Training Epoch: 34 [19712/46200]	Loss: 0.1269	LR: 0.004000
Training Epoch: 34 [19968/46200]	Loss: 0.1331	LR: 0.004000
Training Epoch: 34 [20224/46200]	Loss: 0.1545	LR: 0.004000
Training Epoch: 34 [20480/46200]	Loss: 0.1276	LR: 0.004000
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Training Epoch: 34 [23040/46200]	Loss: 0.1156	LR: 0.004000
Training Epoch: 34 [23296/46200]	Loss: 0.1448	LR: 0.004000
Training Epoch: 34 [23552/46200]	Loss: 0.1331	LR: 0.004000
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Training Epoch: 34 [24576/46200]	Loss: 0.1292	LR: 0.004000
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Training Epoch: 34 [25600/46200]	Loss: 0.0999	LR: 0.004000
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Training Epoch: 34 [40704/46200]	Loss: 0.1364	LR: 0.004000
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Training Epoch: 34 [42496/46200]	Loss: 0.1092	LR: 0.004000
Training Epoch: 34 [42752/46200]	Loss: 0.1100	LR: 0.004000
Training Epoch: 34 [43008/46200]	Loss: 0.1330	LR: 0.004000
Training Epoch: 34 [43264/46200]	Loss: 0.1265	LR: 0.004000
Training Epoch: 34 [43520/46200]	Loss: 0.1353	LR: 0.004000
Training Epoch: 34 [43776/46200]	Loss: 0.1335	LR: 0.004000
Training Epoch: 34 [44032/46200]	Loss: 0.0984	LR: 0.004000
Training Epoch: 34 [44288/46200]	Loss: 0.1627	LR: 0.004000
Training Epoch: 34 [44544/46200]	Loss: 0.1503	LR: 0.004000
Training Epoch: 34 [44800/46200]	Loss: 0.1613	LR: 0.004000
Training Epoch: 34 [45056/46200]	Loss: 0.1815	LR: 0.004000
Training Epoch: 34 [45312/46200]	Loss: 0.1513	LR: 0.004000
Training Epoch: 34 [45568/46200]	Loss: 0.1154	LR: 0.004000
Training Epoch: 34 [45824/46200]	Loss: 0.1553	LR: 0.004000
Training Epoch: 34 [46080/46200]	Loss: 0.1629	LR: 0.004000
Training Epoch: 34 [46200/46200]	Loss: 0.1577	LR: 0.004000
Epoch 34 - Average Train Loss: 0.1385, Train Accuracy: 0.9587
Epoch 34 training time consumed: 27.91s
Evaluating Network.....
Test set: Epoch: 34, Average loss: 0.0029, Accuracy: 0.8046, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_04h_41m_48s/ResNet18-Cifar20-seed9-ret25-34-best.pth
Training Epoch: 35 [256/46200]	Loss: 0.0938	LR: 0.000800
Training Epoch: 35 [512/46200]	Loss: 0.0945	LR: 0.000800
Training Epoch: 35 [768/46200]	Loss: 0.0952	LR: 0.000800
Training Epoch: 35 [1024/46200]	Loss: 0.1290	LR: 0.000800
Training Epoch: 35 [1280/46200]	Loss: 0.1571	LR: 0.000800
Training Epoch: 35 [1536/46200]	Loss: 0.0728	LR: 0.000800
Training Epoch: 35 [1792/46200]	Loss: 0.1565	LR: 0.000800
Training Epoch: 35 [2048/46200]	Loss: 0.0987	LR: 0.000800
Training Epoch: 35 [2304/46200]	Loss: 0.0913	LR: 0.000800
Training Epoch: 35 [2560/46200]	Loss: 0.0837	LR: 0.000800
Training Epoch: 35 [2816/46200]	Loss: 0.1204	LR: 0.000800
Training Epoch: 35 [3072/46200]	Loss: 0.1460	LR: 0.000800
Training Epoch: 35 [3328/46200]	Loss: 0.1091	LR: 0.000800
Training Epoch: 35 [3584/46200]	Loss: 0.1200	LR: 0.000800
Training Epoch: 35 [3840/46200]	Loss: 0.1047	LR: 0.000800
Training Epoch: 35 [4096/46200]	Loss: 0.1211	LR: 0.000800
Training Epoch: 35 [4352/46200]	Loss: 0.1121	LR: 0.000800
Training Epoch: 35 [4608/46200]	Loss: 0.1097	LR: 0.000800
Training Epoch: 35 [4864/46200]	Loss: 0.1195	LR: 0.000800
Training Epoch: 35 [5120/46200]	Loss: 0.0999	LR: 0.000800
Training Epoch: 35 [5376/46200]	Loss: 0.1273	LR: 0.000800
Training Epoch: 35 [5632/46200]	Loss: 0.1048	LR: 0.000800
Training Epoch: 35 [5888/46200]	Loss: 0.1591	LR: 0.000800
Training Epoch: 35 [6144/46200]	Loss: 0.1196	LR: 0.000800
Training Epoch: 35 [6400/46200]	Loss: 0.1654	LR: 0.000800
Training Epoch: 35 [6656/46200]	Loss: 0.0928	LR: 0.000800
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Training Epoch: 35 [8448/46200]	Loss: 0.1027	LR: 0.000800
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Training Epoch: 35 [10496/46200]	Loss: 0.1436	LR: 0.000800
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Training Epoch: 35 [14592/46200]	Loss: 0.1052	LR: 0.000800
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Training Epoch: 35 [15104/46200]	Loss: 0.1355	LR: 0.000800
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Training Epoch: 35 [16128/46200]	Loss: 0.0846	LR: 0.000800
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Training Epoch: 35 [20224/46200]	Loss: 0.1300	LR: 0.000800
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Training Epoch: 35 [24320/46200]	Loss: 0.0942	LR: 0.000800
Training Epoch: 35 [24576/46200]	Loss: 0.1934	LR: 0.000800
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Training Epoch: 35 [25856/46200]	Loss: 0.1289	LR: 0.000800
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Training Epoch: 35 [29696/46200]	Loss: 0.1194	LR: 0.000800
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Training Epoch: 35 [40448/46200]	Loss: 0.0893	LR: 0.000800
Training Epoch: 35 [40704/46200]	Loss: 0.1032	LR: 0.000800
Training Epoch: 35 [40960/46200]	Loss: 0.1194	LR: 0.000800
Training Epoch: 35 [41216/46200]	Loss: 0.1375	LR: 0.000800
Training Epoch: 35 [41472/46200]	Loss: 0.1276	LR: 0.000800
Training Epoch: 35 [41728/46200]	Loss: 0.1264	LR: 0.000800
Training Epoch: 35 [41984/46200]	Loss: 0.1305	LR: 0.000800
Training Epoch: 35 [42240/46200]	Loss: 0.1679	LR: 0.000800
Training Epoch: 35 [42496/46200]	Loss: 0.1211	LR: 0.000800
Training Epoch: 35 [42752/46200]	Loss: 0.1473	LR: 0.000800
Training Epoch: 35 [43008/46200]	Loss: 0.0807	LR: 0.000800
Training Epoch: 35 [43264/46200]	Loss: 0.1047	LR: 0.000800
Training Epoch: 35 [43520/46200]	Loss: 0.1487	LR: 0.000800
Training Epoch: 35 [43776/46200]	Loss: 0.1063	LR: 0.000800
Training Epoch: 35 [44032/46200]	Loss: 0.1015	LR: 0.000800
Training Epoch: 35 [44288/46200]	Loss: 0.1396	LR: 0.000800
Training Epoch: 35 [44544/46200]	Loss: 0.1101	LR: 0.000800
Training Epoch: 35 [44800/46200]	Loss: 0.1165	LR: 0.000800
Training Epoch: 35 [45056/46200]	Loss: 0.1367	LR: 0.000800
Training Epoch: 35 [45312/46200]	Loss: 0.1273	LR: 0.000800
Training Epoch: 35 [45568/46200]	Loss: 0.1343	LR: 0.000800
Training Epoch: 35 [45824/46200]	Loss: 0.1222	LR: 0.000800
Training Epoch: 35 [46080/46200]	Loss: 0.1414	LR: 0.000800
Training Epoch: 35 [46200/46200]	Loss: 0.0967	LR: 0.000800
Epoch 35 - Average Train Loss: 0.1189, Train Accuracy: 0.9655
Epoch 35 training time consumed: 27.90s
Evaluating Network.....
Test set: Epoch: 35, Average loss: 0.0029, Accuracy: 0.8075, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_04h_41m_48s/ResNet18-Cifar20-seed9-ret25-35-best.pth
Training Epoch: 36 [256/46200]	Loss: 0.0903	LR: 0.000800
Training Epoch: 36 [512/46200]	Loss: 0.0882	LR: 0.000800
Training Epoch: 36 [768/46200]	Loss: 0.0991	LR: 0.000800
Training Epoch: 36 [1024/46200]	Loss: 0.1644	LR: 0.000800
Training Epoch: 36 [1280/46200]	Loss: 0.0934	LR: 0.000800
Training Epoch: 36 [1536/46200]	Loss: 0.1085	LR: 0.000800
Training Epoch: 36 [1792/46200]	Loss: 0.0770	LR: 0.000800
Training Epoch: 36 [2048/46200]	Loss: 0.0967	LR: 0.000800
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Training Epoch: 36 [2560/46200]	Loss: 0.1343	LR: 0.000800
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Training Epoch: 36 [5632/46200]	Loss: 0.1469	LR: 0.000800
Training Epoch: 36 [5888/46200]	Loss: 0.0908	LR: 0.000800
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Training Epoch: 36 [27392/46200]	Loss: 0.1042	LR: 0.000800
Training Epoch: 36 [27648/46200]	Loss: 0.1182	LR: 0.000800
Training Epoch: 36 [27904/46200]	Loss: 0.1139	LR: 0.000800
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Training Epoch: 36 [28416/46200]	Loss: 0.1051	LR: 0.000800
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Training Epoch: 36 [29696/46200]	Loss: 0.1120	LR: 0.000800
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Training Epoch: 36 [30208/46200]	Loss: 0.1402	LR: 0.000800
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Training Epoch: 36 [38656/46200]	Loss: 0.0768	LR: 0.000800
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Training Epoch: 36 [40192/46200]	Loss: 0.0755	LR: 0.000800
Training Epoch: 36 [40448/46200]	Loss: 0.1663	LR: 0.000800
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Training Epoch: 36 [40960/46200]	Loss: 0.1350	LR: 0.000800
Training Epoch: 36 [41216/46200]	Loss: 0.1109	LR: 0.000800
Training Epoch: 36 [41472/46200]	Loss: 0.0955	LR: 0.000800
Training Epoch: 36 [41728/46200]	Loss: 0.1185	LR: 0.000800
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Training Epoch: 36 [42240/46200]	Loss: 0.1086	LR: 0.000800
Training Epoch: 36 [42496/46200]	Loss: 0.1421	LR: 0.000800
Training Epoch: 36 [42752/46200]	Loss: 0.1232	LR: 0.000800
Training Epoch: 36 [43008/46200]	Loss: 0.1061	LR: 0.000800
Training Epoch: 36 [43264/46200]	Loss: 0.1104	LR: 0.000800
Training Epoch: 36 [43520/46200]	Loss: 0.1295	LR: 0.000800
Training Epoch: 36 [43776/46200]	Loss: 0.1274	LR: 0.000800
Training Epoch: 36 [44032/46200]	Loss: 0.1066	LR: 0.000800
Training Epoch: 36 [44288/46200]	Loss: 0.1099	LR: 0.000800
Training Epoch: 36 [44544/46200]	Loss: 0.1338	LR: 0.000800
Training Epoch: 36 [44800/46200]	Loss: 0.1482	LR: 0.000800
Training Epoch: 36 [45056/46200]	Loss: 0.0739	LR: 0.000800
Training Epoch: 36 [45312/46200]	Loss: 0.1368	LR: 0.000800
Training Epoch: 36 [45568/46200]	Loss: 0.1169	LR: 0.000800
Training Epoch: 36 [45824/46200]	Loss: 0.1239	LR: 0.000800
Training Epoch: 36 [46080/46200]	Loss: 0.1140	LR: 0.000800
Training Epoch: 36 [46200/46200]	Loss: 0.1213	LR: 0.000800
Epoch 36 - Average Train Loss: 0.1156, Train Accuracy: 0.9666
Epoch 36 training time consumed: 28.08s
Evaluating Network.....
Test set: Epoch: 36, Average loss: 0.0029, Accuracy: 0.8075, Time consumed:0.99s
Training Epoch: 37 [256/46200]	Loss: 0.1411	LR: 0.000800
Training Epoch: 37 [512/46200]	Loss: 0.1027	LR: 0.000800
Training Epoch: 37 [768/46200]	Loss: 0.0863	LR: 0.000800
Training Epoch: 37 [1024/46200]	Loss: 0.0966	LR: 0.000800
Training Epoch: 37 [1280/46200]	Loss: 0.1244	LR: 0.000800
Training Epoch: 37 [1536/46200]	Loss: 0.0894	LR: 0.000800
Training Epoch: 37 [1792/46200]	Loss: 0.1013	LR: 0.000800
Training Epoch: 37 [2048/46200]	Loss: 0.0887	LR: 0.000800
Training Epoch: 37 [2304/46200]	Loss: 0.0614	LR: 0.000800
Training Epoch: 37 [2560/46200]	Loss: 0.0761	LR: 0.000800
Training Epoch: 37 [2816/46200]	Loss: 0.1346	LR: 0.000800
Training Epoch: 37 [3072/46200]	Loss: 0.0992	LR: 0.000800
Training Epoch: 37 [3328/46200]	Loss: 0.0898	LR: 0.000800
Training Epoch: 37 [3584/46200]	Loss: 0.0739	LR: 0.000800
Training Epoch: 37 [3840/46200]	Loss: 0.0826	LR: 0.000800
Training Epoch: 37 [4096/46200]	Loss: 0.1027	LR: 0.000800
Training Epoch: 37 [4352/46200]	Loss: 0.1275	LR: 0.000800
Training Epoch: 37 [4608/46200]	Loss: 0.1576	LR: 0.000800
Training Epoch: 37 [4864/46200]	Loss: 0.0954	LR: 0.000800
Training Epoch: 37 [5120/46200]	Loss: 0.1133	LR: 0.000800
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Training Epoch: 37 [5632/46200]	Loss: 0.1318	LR: 0.000800
Training Epoch: 37 [5888/46200]	Loss: 0.1363	LR: 0.000800
Training Epoch: 37 [6144/46200]	Loss: 0.1103	LR: 0.000800
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Training Epoch: 37 [43008/46200]	Loss: 0.1157	LR: 0.000800
Training Epoch: 37 [43264/46200]	Loss: 0.1015	LR: 0.000800
Training Epoch: 37 [43520/46200]	Loss: 0.1180	LR: 0.000800
Training Epoch: 37 [43776/46200]	Loss: 0.1159	LR: 0.000800
Training Epoch: 37 [44032/46200]	Loss: 0.1209	LR: 0.000800
Training Epoch: 37 [44288/46200]	Loss: 0.0975	LR: 0.000800
Training Epoch: 37 [44544/46200]	Loss: 0.1198	LR: 0.000800
Training Epoch: 37 [44800/46200]	Loss: 0.0718	LR: 0.000800
Training Epoch: 37 [45056/46200]	Loss: 0.1219	LR: 0.000800
Training Epoch: 37 [45312/46200]	Loss: 0.1211	LR: 0.000800
Training Epoch: 37 [45568/46200]	Loss: 0.1111	LR: 0.000800
Training Epoch: 37 [45824/46200]	Loss: 0.1115	LR: 0.000800
Training Epoch: 37 [46080/46200]	Loss: 0.0971	LR: 0.000800
Training Epoch: 37 [46200/46200]	Loss: 0.1268	LR: 0.000800
Epoch 37 - Average Train Loss: 0.1104, Train Accuracy: 0.9699
Epoch 37 training time consumed: 28.33s
Evaluating Network.....
Test set: Epoch: 37, Average loss: 0.0029, Accuracy: 0.8079, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_04h_41m_48s/ResNet18-Cifar20-seed9-ret25-37-best.pth
Training Epoch: 38 [256/46200]	Loss: 0.1112	LR: 0.000800
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Training Epoch: 38 [1536/46200]	Loss: 0.1392	LR: 0.000800
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Training Epoch: 38 [32768/46200]	Loss: 0.1037	LR: 0.000800
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Training Epoch: 38 [33280/46200]	Loss: 0.1319	LR: 0.000800
Training Epoch: 38 [33536/46200]	Loss: 0.1100	LR: 0.000800
Training Epoch: 38 [33792/46200]	Loss: 0.1064	LR: 0.000800
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Training Epoch: 38 [34304/46200]	Loss: 0.1522	LR: 0.000800
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Training Epoch: 38 [34816/46200]	Loss: 0.1097	LR: 0.000800
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Training Epoch: 38 [35584/46200]	Loss: 0.1221	LR: 0.000800
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Training Epoch: 38 [36352/46200]	Loss: 0.0888	LR: 0.000800
Training Epoch: 38 [36608/46200]	Loss: 0.0845	LR: 0.000800
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Training Epoch: 38 [37120/46200]	Loss: 0.1174	LR: 0.000800
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Training Epoch: 38 [37888/46200]	Loss: 0.1152	LR: 0.000800
Training Epoch: 38 [38144/46200]	Loss: 0.1192	LR: 0.000800
Training Epoch: 38 [38400/46200]	Loss: 0.1309	LR: 0.000800
Training Epoch: 38 [38656/46200]	Loss: 0.1053	LR: 0.000800
Training Epoch: 38 [38912/46200]	Loss: 0.0866	LR: 0.000800
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Training Epoch: 38 [39424/46200]	Loss: 0.0909	LR: 0.000800
Training Epoch: 38 [39680/46200]	Loss: 0.1110	LR: 0.000800
Training Epoch: 38 [39936/46200]	Loss: 0.1501	LR: 0.000800
Training Epoch: 38 [40192/46200]	Loss: 0.1340	LR: 0.000800
Training Epoch: 38 [40448/46200]	Loss: 0.1008	LR: 0.000800
Training Epoch: 38 [40704/46200]	Loss: 0.1027	LR: 0.000800
Training Epoch: 38 [40960/46200]	Loss: 0.1515	LR: 0.000800
Training Epoch: 38 [41216/46200]	Loss: 0.0864	LR: 0.000800
Training Epoch: 38 [41472/46200]	Loss: 0.0980	LR: 0.000800
Training Epoch: 38 [41728/46200]	Loss: 0.0867	LR: 0.000800
Training Epoch: 38 [41984/46200]	Loss: 0.1209	LR: 0.000800
Training Epoch: 38 [42240/46200]	Loss: 0.1253	LR: 0.000800
Training Epoch: 38 [42496/46200]	Loss: 0.1173	LR: 0.000800
Training Epoch: 38 [42752/46200]	Loss: 0.0980	LR: 0.000800
Training Epoch: 38 [43008/46200]	Loss: 0.0997	LR: 0.000800
Training Epoch: 38 [43264/46200]	Loss: 0.1053	LR: 0.000800
Training Epoch: 38 [43520/46200]	Loss: 0.0967	LR: 0.000800
Training Epoch: 38 [43776/46200]	Loss: 0.1142	LR: 0.000800
Training Epoch: 38 [44032/46200]	Loss: 0.1536	LR: 0.000800
Training Epoch: 38 [44288/46200]	Loss: 0.1193	LR: 0.000800
Training Epoch: 38 [44544/46200]	Loss: 0.0783	LR: 0.000800
Training Epoch: 38 [44800/46200]	Loss: 0.1257	LR: 0.000800
Training Epoch: 38 [45056/46200]	Loss: 0.1267	LR: 0.000800
Training Epoch: 38 [45312/46200]	Loss: 0.1293	LR: 0.000800
Training Epoch: 38 [45568/46200]	Loss: 0.1005	LR: 0.000800
Training Epoch: 38 [45824/46200]	Loss: 0.1132	LR: 0.000800
Training Epoch: 38 [46080/46200]	Loss: 0.1066	LR: 0.000800
Training Epoch: 38 [46200/46200]	Loss: 0.1923	LR: 0.000800
Epoch 38 - Average Train Loss: 0.1080, Train Accuracy: 0.9697
Epoch 38 training time consumed: 27.94s
Evaluating Network.....
Test set: Epoch: 38, Average loss: 0.0029, Accuracy: 0.8062, Time consumed:0.94s
Training Epoch: 39 [256/46200]	Loss: 0.1093	LR: 0.000800
Training Epoch: 39 [512/46200]	Loss: 0.0981	LR: 0.000800
Training Epoch: 39 [768/46200]	Loss: 0.1294	LR: 0.000800
Training Epoch: 39 [1024/46200]	Loss: 0.0717	LR: 0.000800
Training Epoch: 39 [1280/46200]	Loss: 0.1062	LR: 0.000800
Training Epoch: 39 [1536/46200]	Loss: 0.0986	LR: 0.000800
Training Epoch: 39 [1792/46200]	Loss: 0.0791	LR: 0.000800
Training Epoch: 39 [2048/46200]	Loss: 0.1201	LR: 0.000800
Training Epoch: 39 [2304/46200]	Loss: 0.1030	LR: 0.000800
Training Epoch: 39 [2560/46200]	Loss: 0.0857	LR: 0.000800
Training Epoch: 39 [2816/46200]	Loss: 0.0677	LR: 0.000800
Training Epoch: 39 [3072/46200]	Loss: 0.0775	LR: 0.000800
Training Epoch: 39 [3328/46200]	Loss: 0.1065	LR: 0.000800
Training Epoch: 39 [3584/46200]	Loss: 0.1041	LR: 0.000800
Training Epoch: 39 [3840/46200]	Loss: 0.0628	LR: 0.000800
Training Epoch: 39 [4096/46200]	Loss: 0.0943	LR: 0.000800
Training Epoch: 39 [4352/46200]	Loss: 0.1247	LR: 0.000800
Training Epoch: 39 [4608/46200]	Loss: 0.1310	LR: 0.000800
Training Epoch: 39 [4864/46200]	Loss: 0.1202	LR: 0.000800
Training Epoch: 39 [5120/46200]	Loss: 0.1230	LR: 0.000800
Training Epoch: 39 [5376/46200]	Loss: 0.1045	LR: 0.000800
Training Epoch: 39 [5632/46200]	Loss: 0.1145	LR: 0.000800
Training Epoch: 39 [5888/46200]	Loss: 0.0699	LR: 0.000800
Training Epoch: 39 [6144/46200]	Loss: 0.1055	LR: 0.000800
Training Epoch: 39 [6400/46200]	Loss: 0.0928	LR: 0.000800
Training Epoch: 39 [6656/46200]	Loss: 0.0673	LR: 0.000800
Training Epoch: 39 [6912/46200]	Loss: 0.1041	LR: 0.000800
Training Epoch: 39 [7168/46200]	Loss: 0.1032	LR: 0.000800
Training Epoch: 39 [7424/46200]	Loss: 0.0748	LR: 0.000800
Training Epoch: 39 [7680/46200]	Loss: 0.0986	LR: 0.000800
Training Epoch: 39 [7936/46200]	Loss: 0.0657	LR: 0.000800
Training Epoch: 39 [8192/46200]	Loss: 0.0871	LR: 0.000800
Training Epoch: 39 [8448/46200]	Loss: 0.1245	LR: 0.000800
Training Epoch: 39 [8704/46200]	Loss: 0.1273	LR: 0.000800
Training Epoch: 39 [8960/46200]	Loss: 0.1096	LR: 0.000800
Training Epoch: 39 [9216/46200]	Loss: 0.0917	LR: 0.000800
Training Epoch: 39 [9472/46200]	Loss: 0.1311	LR: 0.000800
Training Epoch: 39 [9728/46200]	Loss: 0.0998	LR: 0.000800
Training Epoch: 39 [9984/46200]	Loss: 0.0890	LR: 0.000800
Training Epoch: 39 [10240/46200]	Loss: 0.0977	LR: 0.000800
Training Epoch: 39 [10496/46200]	Loss: 0.0813	LR: 0.000800
Training Epoch: 39 [10752/46200]	Loss: 0.1170	LR: 0.000800
Training Epoch: 39 [11008/46200]	Loss: 0.1062	LR: 0.000800
Training Epoch: 39 [11264/46200]	Loss: 0.0696	LR: 0.000800
Training Epoch: 39 [11520/46200]	Loss: 0.0950	LR: 0.000800
Training Epoch: 39 [11776/46200]	Loss: 0.0781	LR: 0.000800
Training Epoch: 39 [12032/46200]	Loss: 0.1278	LR: 0.000800
Training Epoch: 39 [12288/46200]	Loss: 0.1042	LR: 0.000800
Training Epoch: 39 [12544/46200]	Loss: 0.0995	LR: 0.000800
Training Epoch: 39 [12800/46200]	Loss: 0.0853	LR: 0.000800
Training Epoch: 39 [13056/46200]	Loss: 0.0724	LR: 0.000800
Training Epoch: 39 [13312/46200]	Loss: 0.1101	LR: 0.000800
Training Epoch: 39 [13568/46200]	Loss: 0.1081	LR: 0.000800
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Training Epoch: 39 [16640/46200]	Loss: 0.0866	LR: 0.000800
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Training Epoch: 39 [18944/46200]	Loss: 0.0996	LR: 0.000800
Training Epoch: 39 [19200/46200]	Loss: 0.1023	LR: 0.000800
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Training Epoch: 39 [19712/46200]	Loss: 0.0927	LR: 0.000800
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Training Epoch: 39 [22016/46200]	Loss: 0.1116	LR: 0.000800
Training Epoch: 39 [22272/46200]	Loss: 0.0750	LR: 0.000800
Training Epoch: 39 [22528/46200]	Loss: 0.1373	LR: 0.000800
Training Epoch: 39 [22784/46200]	Loss: 0.0998	LR: 0.000800
Training Epoch: 39 [23040/46200]	Loss: 0.1325	LR: 0.000800
Training Epoch: 39 [23296/46200]	Loss: 0.1412	LR: 0.000800
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Training Epoch: 39 [23808/46200]	Loss: 0.1261	LR: 0.000800
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Training Epoch: 39 [26368/46200]	Loss: 0.1217	LR: 0.000800
Training Epoch: 39 [26624/46200]	Loss: 0.1014	LR: 0.000800
Training Epoch: 39 [26880/46200]	Loss: 0.1427	LR: 0.000800
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Training Epoch: 39 [27904/46200]	Loss: 0.0954	LR: 0.000800
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Training Epoch: 39 [29184/46200]	Loss: 0.0859	LR: 0.000800
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Training Epoch: 39 [35840/46200]	Loss: 0.0900	LR: 0.000800
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Training Epoch: 39 [36352/46200]	Loss: 0.1132	LR: 0.000800
Training Epoch: 39 [36608/46200]	Loss: 0.1533	LR: 0.000800
Training Epoch: 39 [36864/46200]	Loss: 0.0858	LR: 0.000800
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Training Epoch: 39 [37376/46200]	Loss: 0.1264	LR: 0.000800
Training Epoch: 39 [37632/46200]	Loss: 0.1184	LR: 0.000800
Training Epoch: 39 [37888/46200]	Loss: 0.1237	LR: 0.000800
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Training Epoch: 39 [38656/46200]	Loss: 0.1134	LR: 0.000800
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Training Epoch: 39 [39168/46200]	Loss: 0.1390	LR: 0.000800
Training Epoch: 39 [39424/46200]	Loss: 0.0935	LR: 0.000800
Training Epoch: 39 [39680/46200]	Loss: 0.0859	LR: 0.000800
Training Epoch: 39 [39936/46200]	Loss: 0.1132	LR: 0.000800
Training Epoch: 39 [40192/46200]	Loss: 0.0918	LR: 0.000800
Training Epoch: 39 [40448/46200]	Loss: 0.0785	LR: 0.000800
Training Epoch: 39 [40704/46200]	Loss: 0.1322	LR: 0.000800
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Training Epoch: 39 [41216/46200]	Loss: 0.1095	LR: 0.000800
Training Epoch: 39 [41472/46200]	Loss: 0.0968	LR: 0.000800
Training Epoch: 39 [41728/46200]	Loss: 0.1530	LR: 0.000800
Training Epoch: 39 [41984/46200]	Loss: 0.0772	LR: 0.000800
Training Epoch: 39 [42240/46200]	Loss: 0.1360	LR: 0.000800
Training Epoch: 39 [42496/46200]	Loss: 0.1509	LR: 0.000800
Training Epoch: 39 [42752/46200]	Loss: 0.0916	LR: 0.000800
Training Epoch: 39 [43008/46200]	Loss: 0.1003	LR: 0.000800
Training Epoch: 39 [43264/46200]	Loss: 0.1032	LR: 0.000800
Training Epoch: 39 [43520/46200]	Loss: 0.0928	LR: 0.000800
Training Epoch: 39 [43776/46200]	Loss: 0.0942	LR: 0.000800
Training Epoch: 39 [44032/46200]	Loss: 0.1118	LR: 0.000800
Training Epoch: 39 [44288/46200]	Loss: 0.1060	LR: 0.000800
Training Epoch: 39 [44544/46200]	Loss: 0.0964	LR: 0.000800
Training Epoch: 39 [44800/46200]	Loss: 0.1177	LR: 0.000800
Training Epoch: 39 [45056/46200]	Loss: 0.1402	LR: 0.000800
Training Epoch: 39 [45312/46200]	Loss: 0.1219	LR: 0.000800
Training Epoch: 39 [45568/46200]	Loss: 0.1104	LR: 0.000800
Training Epoch: 39 [45824/46200]	Loss: 0.0927	LR: 0.000800
Training Epoch: 39 [46080/46200]	Loss: 0.1242	LR: 0.000800
Training Epoch: 39 [46200/46200]	Loss: 0.0850	LR: 0.000800
Epoch 39 - Average Train Loss: 0.1038, Train Accuracy: 0.9713
Epoch 39 training time consumed: 28.02s
Evaluating Network.....
Test set: Epoch: 39, Average loss: 0.0029, Accuracy: 0.8080, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_04h_41m_48s/ResNet18-Cifar20-seed9-ret25-39-best.pth
Training Epoch: 40 [256/46200]	Loss: 0.1246	LR: 0.000800
Training Epoch: 40 [512/46200]	Loss: 0.0981	LR: 0.000800
Training Epoch: 40 [768/46200]	Loss: 0.0787	LR: 0.000800
Training Epoch: 40 [1024/46200]	Loss: 0.0873	LR: 0.000800
Training Epoch: 40 [1280/46200]	Loss: 0.0992	LR: 0.000800
Training Epoch: 40 [1536/46200]	Loss: 0.0858	LR: 0.000800
Training Epoch: 40 [1792/46200]	Loss: 0.1084	LR: 0.000800
Training Epoch: 40 [2048/46200]	Loss: 0.1112	LR: 0.000800
Training Epoch: 40 [2304/46200]	Loss: 0.1042	LR: 0.000800
Training Epoch: 40 [2560/46200]	Loss: 0.1016	LR: 0.000800
Training Epoch: 40 [2816/46200]	Loss: 0.0848	LR: 0.000800
Training Epoch: 40 [3072/46200]	Loss: 0.1066	LR: 0.000800
Training Epoch: 40 [3328/46200]	Loss: 0.0832	LR: 0.000800
Training Epoch: 40 [3584/46200]	Loss: 0.1230	LR: 0.000800
Training Epoch: 40 [3840/46200]	Loss: 0.0916	LR: 0.000800
Training Epoch: 40 [4096/46200]	Loss: 0.1235	LR: 0.000800
Training Epoch: 40 [4352/46200]	Loss: 0.1379	LR: 0.000800
Training Epoch: 40 [4608/46200]	Loss: 0.1236	LR: 0.000800
Training Epoch: 40 [4864/46200]	Loss: 0.0867	LR: 0.000800
Training Epoch: 40 [5120/46200]	Loss: 0.1845	LR: 0.000800
Training Epoch: 40 [5376/46200]	Loss: 0.0780	LR: 0.000800
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Training Epoch: 40 [5888/46200]	Loss: 0.1506	LR: 0.000800
Training Epoch: 40 [6144/46200]	Loss: 0.1054	LR: 0.000800
Training Epoch: 40 [6400/46200]	Loss: 0.1100	LR: 0.000800
Training Epoch: 40 [6656/46200]	Loss: 0.0815	LR: 0.000800
Training Epoch: 40 [6912/46200]	Loss: 0.1025	LR: 0.000800
Training Epoch: 40 [7168/46200]	Loss: 0.1061	LR: 0.000800
Training Epoch: 40 [7424/46200]	Loss: 0.0980	LR: 0.000800
Training Epoch: 40 [7680/46200]	Loss: 0.1225	LR: 0.000800
Training Epoch: 40 [7936/46200]	Loss: 0.0972	LR: 0.000800
Training Epoch: 40 [8192/46200]	Loss: 0.1348	LR: 0.000800
Training Epoch: 40 [8448/46200]	Loss: 0.0787	LR: 0.000800
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Training Epoch: 40 [9472/46200]	Loss: 0.1100	LR: 0.000800
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Training Epoch: 40 [10240/46200]	Loss: 0.1072	LR: 0.000800
Training Epoch: 40 [10496/46200]	Loss: 0.1012	LR: 0.000800
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Training Epoch: 40 [11008/46200]	Loss: 0.0877	LR: 0.000800
Training Epoch: 40 [11264/46200]	Loss: 0.1535	LR: 0.000800
Training Epoch: 40 [11520/46200]	Loss: 0.1223	LR: 0.000800
Training Epoch: 40 [11776/46200]	Loss: 0.1213	LR: 0.000800
Training Epoch: 40 [12032/46200]	Loss: 0.1490	LR: 0.000800
Training Epoch: 40 [12288/46200]	Loss: 0.1153	LR: 0.000800
Training Epoch: 40 [12544/46200]	Loss: 0.0901	LR: 0.000800
Training Epoch: 40 [12800/46200]	Loss: 0.0934	LR: 0.000800
Training Epoch: 40 [13056/46200]	Loss: 0.0729	LR: 0.000800
Training Epoch: 40 [13312/46200]	Loss: 0.0941	LR: 0.000800
Training Epoch: 40 [13568/46200]	Loss: 0.0869	LR: 0.000800
Training Epoch: 40 [13824/46200]	Loss: 0.1192	LR: 0.000800
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Training Epoch: 40 [14336/46200]	Loss: 0.0786	LR: 0.000800
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Training Epoch: 40 [15360/46200]	Loss: 0.1134	LR: 0.000800
Training Epoch: 40 [15616/46200]	Loss: 0.1191	LR: 0.000800
Training Epoch: 40 [15872/46200]	Loss: 0.0994	LR: 0.000800
Training Epoch: 40 [16128/46200]	Loss: 0.1051	LR: 0.000800
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Training Epoch: 40 [16640/46200]	Loss: 0.1253	LR: 0.000800
Training Epoch: 40 [16896/46200]	Loss: 0.0785	LR: 0.000800
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Training Epoch: 40 [17664/46200]	Loss: 0.0891	LR: 0.000800
Training Epoch: 40 [17920/46200]	Loss: 0.1041	LR: 0.000800
Training Epoch: 40 [18176/46200]	Loss: 0.1323	LR: 0.000800
Training Epoch: 40 [18432/46200]	Loss: 0.0922	LR: 0.000800
Training Epoch: 40 [18688/46200]	Loss: 0.1155	LR: 0.000800
Training Epoch: 40 [18944/46200]	Loss: 0.1228	LR: 0.000800
Training Epoch: 40 [19200/46200]	Loss: 0.0948	LR: 0.000800
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Training Epoch: 40 [19712/46200]	Loss: 0.0976	LR: 0.000800
Training Epoch: 40 [19968/46200]	Loss: 0.0981	LR: 0.000800
Training Epoch: 40 [20224/46200]	Loss: 0.1060	LR: 0.000800
Training Epoch: 40 [20480/46200]	Loss: 0.0487	LR: 0.000800
Training Epoch: 40 [20736/46200]	Loss: 0.0924	LR: 0.000800
Training Epoch: 40 [20992/46200]	Loss: 0.0825	LR: 0.000800
Training Epoch: 40 [21248/46200]	Loss: 0.1333	LR: 0.000800
Training Epoch: 40 [21504/46200]	Loss: 0.1125	LR: 0.000800
Training Epoch: 40 [21760/46200]	Loss: 0.0833	LR: 0.000800
Training Epoch: 40 [22016/46200]	Loss: 0.0788	LR: 0.000800
Training Epoch: 40 [22272/46200]	Loss: 0.1233	LR: 0.000800
Training Epoch: 40 [22528/46200]	Loss: 0.1278	LR: 0.000800
Training Epoch: 40 [22784/46200]	Loss: 0.1630	LR: 0.000800
Training Epoch: 40 [23040/46200]	Loss: 0.0814	LR: 0.000800
Training Epoch: 40 [23296/46200]	Loss: 0.1170	LR: 0.000800
Training Epoch: 40 [23552/46200]	Loss: 0.1039	LR: 0.000800
Training Epoch: 40 [23808/46200]	Loss: 0.1282	LR: 0.000800
Training Epoch: 40 [24064/46200]	Loss: 0.1033	LR: 0.000800
Training Epoch: 40 [24320/46200]	Loss: 0.1192	LR: 0.000800
Training Epoch: 40 [24576/46200]	Loss: 0.1326	LR: 0.000800
Training Epoch: 40 [24832/46200]	Loss: 0.0896	LR: 0.000800
Training Epoch: 40 [25088/46200]	Loss: 0.1053	LR: 0.000800
Training Epoch: 40 [25344/46200]	Loss: 0.0848	LR: 0.000800
Training Epoch: 40 [25600/46200]	Loss: 0.0882	LR: 0.000800
Training Epoch: 40 [25856/46200]	Loss: 0.0885	LR: 0.000800
Training Epoch: 40 [26112/46200]	Loss: 0.1059	LR: 0.000800
Training Epoch: 40 [26368/46200]	Loss: 0.1325	LR: 0.000800
Training Epoch: 40 [26624/46200]	Loss: 0.0943	LR: 0.000800
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Training Epoch: 40 [27136/46200]	Loss: 0.0885	LR: 0.000800
Training Epoch: 40 [27392/46200]	Loss: 0.1154	LR: 0.000800
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Training Epoch: 40 [27904/46200]	Loss: 0.1269	LR: 0.000800
Training Epoch: 40 [28160/46200]	Loss: 0.0721	LR: 0.000800
Training Epoch: 40 [28416/46200]	Loss: 0.0988	LR: 0.000800
Training Epoch: 40 [28672/46200]	Loss: 0.1422	LR: 0.000800
Training Epoch: 40 [28928/46200]	Loss: 0.1125	LR: 0.000800
Training Epoch: 40 [29184/46200]	Loss: 0.1044	LR: 0.000800
Training Epoch: 40 [29440/46200]	Loss: 0.0996	LR: 0.000800
Training Epoch: 40 [29696/46200]	Loss: 0.0947	LR: 0.000800
Training Epoch: 40 [29952/46200]	Loss: 0.1370	LR: 0.000800
Training Epoch: 40 [30208/46200]	Loss: 0.0800	LR: 0.000800
Training Epoch: 40 [30464/46200]	Loss: 0.1136	LR: 0.000800
Training Epoch: 40 [30720/46200]	Loss: 0.0962	LR: 0.000800
Training Epoch: 40 [30976/46200]	Loss: 0.0734	LR: 0.000800
Training Epoch: 40 [31232/46200]	Loss: 0.0737	LR: 0.000800
Training Epoch: 40 [31488/46200]	Loss: 0.1499	LR: 0.000800
Training Epoch: 40 [31744/46200]	Loss: 0.0790	LR: 0.000800
Training Epoch: 40 [32000/46200]	Loss: 0.1241	LR: 0.000800
Training Epoch: 40 [32256/46200]	Loss: 0.0903	LR: 0.000800
Training Epoch: 40 [32512/46200]	Loss: 0.0891	LR: 0.000800
Training Epoch: 40 [32768/46200]	Loss: 0.0977	LR: 0.000800
Training Epoch: 40 [33024/46200]	Loss: 0.0949	LR: 0.000800
Training Epoch: 40 [33280/46200]	Loss: 0.1277	LR: 0.000800
Training Epoch: 40 [33536/46200]	Loss: 0.0851	LR: 0.000800
Training Epoch: 40 [33792/46200]	Loss: 0.0782	LR: 0.000800
Training Epoch: 40 [34048/46200]	Loss: 0.1186	LR: 0.000800
Training Epoch: 40 [34304/46200]	Loss: 0.1138	LR: 0.000800
Training Epoch: 40 [34560/46200]	Loss: 0.0735	LR: 0.000800
Training Epoch: 40 [34816/46200]	Loss: 0.0755	LR: 0.000800
Training Epoch: 40 [35072/46200]	Loss: 0.0975	LR: 0.000800
Training Epoch: 40 [35328/46200]	Loss: 0.1012	LR: 0.000800
Training Epoch: 40 [35584/46200]	Loss: 0.0781	LR: 0.000800
Training Epoch: 40 [35840/46200]	Loss: 0.1364	LR: 0.000800
Training Epoch: 40 [36096/46200]	Loss: 0.0886	LR: 0.000800
Training Epoch: 40 [36352/46200]	Loss: 0.0867	LR: 0.000800
Training Epoch: 40 [36608/46200]	Loss: 0.0989	LR: 0.000800
Training Epoch: 40 [36864/46200]	Loss: 0.0790	LR: 0.000800
Training Epoch: 40 [37120/46200]	Loss: 0.0781	LR: 0.000800
Training Epoch: 40 [37376/46200]	Loss: 0.0861	LR: 0.000800
Training Epoch: 40 [37632/46200]	Loss: 0.1157	LR: 0.000800
Training Epoch: 40 [37888/46200]	Loss: 0.0846	LR: 0.000800
Training Epoch: 40 [38144/46200]	Loss: 0.1091	LR: 0.000800
Training Epoch: 40 [38400/46200]	Loss: 0.0641	LR: 0.000800
Training Epoch: 40 [38656/46200]	Loss: 0.1081	LR: 0.000800
Training Epoch: 40 [38912/46200]	Loss: 0.0919	LR: 0.000800
Training Epoch: 40 [39168/46200]	Loss: 0.1339	LR: 0.000800
Training Epoch: 40 [39424/46200]	Loss: 0.0641	LR: 0.000800
Training Epoch: 40 [39680/46200]	Loss: 0.0976	LR: 0.000800
Training Epoch: 40 [39936/46200]	Loss: 0.1103	LR: 0.000800
Training Epoch: 40 [40192/46200]	Loss: 0.0917	LR: 0.000800
Training Epoch: 40 [40448/46200]	Loss: 0.1035	LR: 0.000800
Training Epoch: 40 [40704/46200]	Loss: 0.1071	LR: 0.000800
Training Epoch: 40 [40960/46200]	Loss: 0.1058	LR: 0.000800
Training Epoch: 40 [41216/46200]	Loss: 0.0841	LR: 0.000800
Training Epoch: 40 [41472/46200]	Loss: 0.1037	LR: 0.000800
Training Epoch: 40 [41728/46200]	Loss: 0.0782	LR: 0.000800
Training Epoch: 40 [41984/46200]	Loss: 0.1157	LR: 0.000800
Training Epoch: 40 [42240/46200]	Loss: 0.1384	LR: 0.000800
Training Epoch: 40 [42496/46200]	Loss: 0.1040	LR: 0.000800
Training Epoch: 40 [42752/46200]	Loss: 0.1180	LR: 0.000800
Training Epoch: 40 [43008/46200]	Loss: 0.0923	LR: 0.000800
Training Epoch: 40 [43264/46200]	Loss: 0.1069	LR: 0.000800
Training Epoch: 40 [43520/46200]	Loss: 0.0889	LR: 0.000800
Training Epoch: 40 [43776/46200]	Loss: 0.1405	LR: 0.000800
Training Epoch: 40 [44032/46200]	Loss: 0.0998	LR: 0.000800
Training Epoch: 40 [44288/46200]	Loss: 0.0869	LR: 0.000800
Training Epoch: 40 [44544/46200]	Loss: 0.0800	LR: 0.000800
Training Epoch: 40 [44800/46200]	Loss: 0.0901	LR: 0.000800
Training Epoch: 40 [45056/46200]	Loss: 0.1193	LR: 0.000800
Training Epoch: 40 [45312/46200]	Loss: 0.1031	LR: 0.000800
Training Epoch: 40 [45568/46200]	Loss: 0.1320	LR: 0.000800
Training Epoch: 40 [45824/46200]	Loss: 0.1135	LR: 0.000800
Training Epoch: 40 [46080/46200]	Loss: 0.1063	LR: 0.000800
Training Epoch: 40 [46200/46200]	Loss: 0.1736	LR: 0.000800
Epoch 40 - Average Train Loss: 0.1029, Train Accuracy: 0.9716
Epoch 40 training time consumed: 27.92s
Evaluating Network.....
Test set: Epoch: 40, Average loss: 0.0029, Accuracy: 0.8075, Time consumed:0.92s
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: 80.76171875
Retain Accuracy: 97.52777862548828
Zero-Retain Forget (ZRF): 0.9022923111915588
Membership Inference Attack (MIA): 0.6018421052631578
Forget vs Retain Membership Inference Attack (MIA): 0.5868421052631579
Forget vs Test Membership Inference Attack (MIA): 0.5190789473684211
Test vs Retain Membership Inference Attack (MIA): 0.5695
Train vs Test Membership Inference Attack (MIA): 0.5955
Forget Set Accuracy (Df): 79.5042495727539
Method Execution Time: 2107.47 seconds
