
📌 Retain class distribution for seed 8:
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 8:
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: 3.1445	LR: 0.000000
Training Epoch: 1 [512/46200]	Loss: 3.0659	LR: 0.000552
Training Epoch: 1 [768/46200]	Loss: 3.1090	LR: 0.001105
Training Epoch: 1 [1024/46200]	Loss: 3.1543	LR: 0.001657
Training Epoch: 1 [1280/46200]	Loss: 3.0882	LR: 0.002210
Training Epoch: 1 [1536/46200]	Loss: 3.0463	LR: 0.002762
Training Epoch: 1 [1792/46200]	Loss: 2.9676	LR: 0.003315
Training Epoch: 1 [2048/46200]	Loss: 2.9427	LR: 0.003867
Training Epoch: 1 [2304/46200]	Loss: 2.9763	LR: 0.004420
Training Epoch: 1 [2560/46200]	Loss: 2.9608	LR: 0.004972
Training Epoch: 1 [2816/46200]	Loss: 3.0317	LR: 0.005525
Training Epoch: 1 [3072/46200]	Loss: 2.9375	LR: 0.006077
Training Epoch: 1 [3328/46200]	Loss: 2.9430	LR: 0.006630
Training Epoch: 1 [3584/46200]	Loss: 2.9299	LR: 0.007182
Training Epoch: 1 [3840/46200]	Loss: 2.8120	LR: 0.007735
Training Epoch: 1 [4096/46200]	Loss: 2.9321	LR: 0.008287
Training Epoch: 1 [4352/46200]	Loss: 2.8490	LR: 0.008840
Training Epoch: 1 [4608/46200]	Loss: 2.8099	LR: 0.009392
Training Epoch: 1 [4864/46200]	Loss: 2.5916	LR: 0.009945
Training Epoch: 1 [5120/46200]	Loss: 2.6886	LR: 0.010497
Training Epoch: 1 [5376/46200]	Loss: 2.7839	LR: 0.011050
Training Epoch: 1 [5632/46200]	Loss: 2.6495	LR: 0.011602
Training Epoch: 1 [5888/46200]	Loss: 2.7011	LR: 0.012155
Training Epoch: 1 [6144/46200]	Loss: 2.6430	LR: 0.012707
Training Epoch: 1 [6400/46200]	Loss: 2.6704	LR: 0.013260
Training Epoch: 1 [6656/46200]	Loss: 2.7441	LR: 0.013812
Training Epoch: 1 [6912/46200]	Loss: 2.6503	LR: 0.014365
Training Epoch: 1 [7168/46200]	Loss: 2.7178	LR: 0.014917
Training Epoch: 1 [7424/46200]	Loss: 2.5566	LR: 0.015470
Training Epoch: 1 [7680/46200]	Loss: 2.6859	LR: 0.016022
Training Epoch: 1 [7936/46200]	Loss: 2.5901	LR: 0.016575
Training Epoch: 1 [8192/46200]	Loss: 2.7057	LR: 0.017127
Training Epoch: 1 [8448/46200]	Loss: 2.6721	LR: 0.017680
Training Epoch: 1 [8704/46200]	Loss: 2.6352	LR: 0.018232
Training Epoch: 1 [8960/46200]	Loss: 2.6013	LR: 0.018785
Training Epoch: 1 [9216/46200]	Loss: 2.6477	LR: 0.019337
Training Epoch: 1 [9472/46200]	Loss: 2.5882	LR: 0.019890
Training Epoch: 1 [9728/46200]	Loss: 2.6322	LR: 0.020442
Training Epoch: 1 [9984/46200]	Loss: 2.6169	LR: 0.020994
Training Epoch: 1 [10240/46200]	Loss: 2.8015	LR: 0.021547
Training Epoch: 1 [10496/46200]	Loss: 2.6174	LR: 0.022099
Training Epoch: 1 [10752/46200]	Loss: 2.6921	LR: 0.022652
Training Epoch: 1 [11008/46200]	Loss: 2.7424	LR: 0.023204
Training Epoch: 1 [11264/46200]	Loss: 2.6850	LR: 0.023757
Training Epoch: 1 [11520/46200]	Loss: 2.5908	LR: 0.024309
Training Epoch: 1 [11776/46200]	Loss: 2.6307	LR: 0.024862
Training Epoch: 1 [12032/46200]	Loss: 2.6771	LR: 0.025414
Training Epoch: 1 [12288/46200]	Loss: 2.5692	LR: 0.025967
Training Epoch: 1 [12544/46200]	Loss: 2.7027	LR: 0.026519
Training Epoch: 1 [12800/46200]	Loss: 2.7377	LR: 0.027072
Training Epoch: 1 [13056/46200]	Loss: 2.5709	LR: 0.027624
Training Epoch: 1 [13312/46200]	Loss: 2.5956	LR: 0.028177
Training Epoch: 1 [13568/46200]	Loss: 2.5820	LR: 0.028729
Training Epoch: 1 [13824/46200]	Loss: 2.7958	LR: 0.029282
Training Epoch: 1 [14080/46200]	Loss: 2.6928	LR: 0.029834
Training Epoch: 1 [14336/46200]	Loss: 2.5623	LR: 0.030387
Training Epoch: 1 [14592/46200]	Loss: 2.5135	LR: 0.030939
Training Epoch: 1 [14848/46200]	Loss: 2.6120	LR: 0.031492
Training Epoch: 1 [15104/46200]	Loss: 2.6547	LR: 0.032044
Training Epoch: 1 [15360/46200]	Loss: 2.5883	LR: 0.032597
Training Epoch: 1 [15616/46200]	Loss: 2.6223	LR: 0.033149
Training Epoch: 1 [15872/46200]	Loss: 2.5171	LR: 0.033702
Training Epoch: 1 [16128/46200]	Loss: 2.5796	LR: 0.034254
Training Epoch: 1 [16384/46200]	Loss: 2.5851	LR: 0.034807
Training Epoch: 1 [16640/46200]	Loss: 2.5262	LR: 0.035359
Training Epoch: 1 [16896/46200]	Loss: 2.5563	LR: 0.035912
Training Epoch: 1 [17152/46200]	Loss: 2.5714	LR: 0.036464
Training Epoch: 1 [17408/46200]	Loss: 2.6143	LR: 0.037017
Training Epoch: 1 [17664/46200]	Loss: 2.4885	LR: 0.037569
Training Epoch: 1 [17920/46200]	Loss: 2.4790	LR: 0.038122
Training Epoch: 1 [18176/46200]	Loss: 2.5627	LR: 0.038674
Training Epoch: 1 [18432/46200]	Loss: 2.5208	LR: 0.039227
Training Epoch: 1 [18688/46200]	Loss: 2.7050	LR: 0.039779
Training Epoch: 1 [18944/46200]	Loss: 2.4792	LR: 0.040331
Training Epoch: 1 [19200/46200]	Loss: 2.3814	LR: 0.040884
Training Epoch: 1 [19456/46200]	Loss: 2.3817	LR: 0.041436
Training Epoch: 1 [19712/46200]	Loss: 2.4683	LR: 0.041989
Training Epoch: 1 [19968/46200]	Loss: 2.4722	LR: 0.042541
Training Epoch: 1 [20224/46200]	Loss: 2.5761	LR: 0.043094
Training Epoch: 1 [20480/46200]	Loss: 2.5430	LR: 0.043646
Training Epoch: 1 [20736/46200]	Loss: 2.4911	LR: 0.044199
Training Epoch: 1 [20992/46200]	Loss: 2.4746	LR: 0.044751
Training Epoch: 1 [21248/46200]	Loss: 2.5846	LR: 0.045304
Training Epoch: 1 [21504/46200]	Loss: 2.5429	LR: 0.045856
Training Epoch: 1 [21760/46200]	Loss: 2.6470	LR: 0.046409
Training Epoch: 1 [22016/46200]	Loss: 2.3072	LR: 0.046961
Training Epoch: 1 [22272/46200]	Loss: 2.4911	LR: 0.047514
Training Epoch: 1 [22528/46200]	Loss: 2.4463	LR: 0.048066
Training Epoch: 1 [22784/46200]	Loss: 2.5047	LR: 0.048619
Training Epoch: 1 [23040/46200]	Loss: 2.4781	LR: 0.049171
Training Epoch: 1 [23296/46200]	Loss: 2.4563	LR: 0.049724
Training Epoch: 1 [23552/46200]	Loss: 2.5344	LR: 0.050276
Training Epoch: 1 [23808/46200]	Loss: 2.4332	LR: 0.050829
Training Epoch: 1 [24064/46200]	Loss: 2.5379	LR: 0.051381
Training Epoch: 1 [24320/46200]	Loss: 2.1590	LR: 0.051934
Training Epoch: 1 [24576/46200]	Loss: 2.5836	LR: 0.052486
Training Epoch: 1 [24832/46200]	Loss: 2.5344	LR: 0.053039
Training Epoch: 1 [25088/46200]	Loss: 2.5417	LR: 0.053591
Training Epoch: 1 [25344/46200]	Loss: 2.5204	LR: 0.054144
Training Epoch: 1 [25600/46200]	Loss: 2.3533	LR: 0.054696
Training Epoch: 1 [25856/46200]	Loss: 2.4450	LR: 0.055249
Training Epoch: 1 [26112/46200]	Loss: 2.4110	LR: 0.055801
Training Epoch: 1 [26368/46200]	Loss: 2.5130	LR: 0.056354
Training Epoch: 1 [26624/46200]	Loss: 2.5921	LR: 0.056906
Training Epoch: 1 [26880/46200]	Loss: 2.5084	LR: 0.057459
Training Epoch: 1 [27136/46200]	Loss: 2.6477	LR: 0.058011
Training Epoch: 1 [27392/46200]	Loss: 2.4742	LR: 0.058564
Training Epoch: 1 [27648/46200]	Loss: 2.3737	LR: 0.059116
Training Epoch: 1 [27904/46200]	Loss: 2.5614	LR: 0.059669
Training Epoch: 1 [28160/46200]	Loss: 2.5079	LR: 0.060221
Training Epoch: 1 [28416/46200]	Loss: 2.4167	LR: 0.060773
Training Epoch: 1 [28672/46200]	Loss: 2.5863	LR: 0.061326
Training Epoch: 1 [28928/46200]	Loss: 2.5496	LR: 0.061878
Training Epoch: 1 [29184/46200]	Loss: 2.5807	LR: 0.062431
Training Epoch: 1 [29440/46200]	Loss: 2.5592	LR: 0.062983
Training Epoch: 1 [29696/46200]	Loss: 2.5353	LR: 0.063536
Training Epoch: 1 [29952/46200]	Loss: 2.4936	LR: 0.064088
Training Epoch: 1 [30208/46200]	Loss: 2.4897	LR: 0.064641
Training Epoch: 1 [30464/46200]	Loss: 2.5325	LR: 0.065193
Training Epoch: 1 [30720/46200]	Loss: 2.3848	LR: 0.065746
Training Epoch: 1 [30976/46200]	Loss: 2.3550	LR: 0.066298
Training Epoch: 1 [31232/46200]	Loss: 2.4349	LR: 0.066851
Training Epoch: 1 [31488/46200]	Loss: 2.4704	LR: 0.067403
Training Epoch: 1 [31744/46200]	Loss: 2.5100	LR: 0.067956
Training Epoch: 1 [32000/46200]	Loss: 2.4118	LR: 0.068508
Training Epoch: 1 [32256/46200]	Loss: 2.3335	LR: 0.069061
Training Epoch: 1 [32512/46200]	Loss: 2.3678	LR: 0.069613
Training Epoch: 1 [32768/46200]	Loss: 2.3274	LR: 0.070166
Training Epoch: 1 [33024/46200]	Loss: 2.3101	LR: 0.070718
Training Epoch: 1 [33280/46200]	Loss: 2.3320	LR: 0.071271
Training Epoch: 1 [33536/46200]	Loss: 2.2932	LR: 0.071823
Training Epoch: 1 [33792/46200]	Loss: 2.3343	LR: 0.072376
Training Epoch: 1 [34048/46200]	Loss: 2.4205	LR: 0.072928
Training Epoch: 1 [34304/46200]	Loss: 2.4487	LR: 0.073481
Training Epoch: 1 [34560/46200]	Loss: 2.3934	LR: 0.074033
Training Epoch: 1 [34816/46200]	Loss: 2.3402	LR: 0.074586
Training Epoch: 1 [35072/46200]	Loss: 2.3561	LR: 0.075138
Training Epoch: 1 [35328/46200]	Loss: 2.4186	LR: 0.075691
Training Epoch: 1 [35584/46200]	Loss: 2.4742	LR: 0.076243
Training Epoch: 1 [35840/46200]	Loss: 2.5185	LR: 0.076796
Training Epoch: 1 [36096/46200]	Loss: 2.3394	LR: 0.077348
Training Epoch: 1 [36352/46200]	Loss: 2.5642	LR: 0.077901
Training Epoch: 1 [36608/46200]	Loss: 2.5984	LR: 0.078453
Training Epoch: 1 [36864/46200]	Loss: 2.4221	LR: 0.079006
Training Epoch: 1 [37120/46200]	Loss: 2.4732	LR: 0.079558
Training Epoch: 1 [37376/46200]	Loss: 2.3583	LR: 0.080110
Training Epoch: 1 [37632/46200]	Loss: 2.4031	LR: 0.080663
Training Epoch: 1 [37888/46200]	Loss: 2.3741	LR: 0.081215
Training Epoch: 1 [38144/46200]	Loss: 2.3522	LR: 0.081768
Training Epoch: 1 [38400/46200]	Loss: 2.4095	LR: 0.082320
Training Epoch: 1 [38656/46200]	Loss: 2.4671	LR: 0.082873
Training Epoch: 1 [38912/46200]	Loss: 2.4995	LR: 0.083425
Training Epoch: 1 [39168/46200]	Loss: 2.3714	LR: 0.083978
Training Epoch: 1 [39424/46200]	Loss: 2.2950	LR: 0.084530
Training Epoch: 1 [39680/46200]	Loss: 2.5380	LR: 0.085083
Training Epoch: 1 [39936/46200]	Loss: 2.3523	LR: 0.085635
Training Epoch: 1 [40192/46200]	Loss: 2.3907	LR: 0.086188
Training Epoch: 1 [40448/46200]	Loss: 2.5396	LR: 0.086740
Training Epoch: 1 [40704/46200]	Loss: 2.4159	LR: 0.087293
Training Epoch: 1 [40960/46200]	Loss: 2.3166	LR: 0.087845
Training Epoch: 1 [41216/46200]	Loss: 2.4436	LR: 0.088398
Training Epoch: 1 [41472/46200]	Loss: 2.4775	LR: 0.088950
Training Epoch: 1 [41728/46200]	Loss: 2.3086	LR: 0.089503
Training Epoch: 1 [41984/46200]	Loss: 2.3201	LR: 0.090055
Training Epoch: 1 [42240/46200]	Loss: 2.4550	LR: 0.090608
Training Epoch: 1 [42496/46200]	Loss: 2.3155	LR: 0.091160
Training Epoch: 1 [42752/46200]	Loss: 2.3946	LR: 0.091713
Training Epoch: 1 [43008/46200]	Loss: 2.4035	LR: 0.092265
Training Epoch: 1 [43264/46200]	Loss: 2.2455	LR: 0.092818
Training Epoch: 1 [43520/46200]	Loss: 2.2542	LR: 0.093370
Training Epoch: 1 [43776/46200]	Loss: 2.2234	LR: 0.093923
Training Epoch: 1 [44032/46200]	Loss: 2.4321	LR: 0.094475
Training Epoch: 1 [44288/46200]	Loss: 2.2293	LR: 0.095028
Training Epoch: 1 [44544/46200]	Loss: 2.2750	LR: 0.095580
Training Epoch: 1 [44800/46200]	Loss: 2.3506	LR: 0.096133
Training Epoch: 1 [45056/46200]	Loss: 2.3346	LR: 0.096685
Training Epoch: 1 [45312/46200]	Loss: 2.3183	LR: 0.097238
Training Epoch: 1 [45568/46200]	Loss: 2.3414	LR: 0.097790
Training Epoch: 1 [45824/46200]	Loss: 2.4024	LR: 0.098343
Training Epoch: 1 [46080/46200]	Loss: 2.3689	LR: 0.098895
Training Epoch: 1 [46200/46200]	Loss: 2.5009	LR: 0.099448
Epoch 1 - Average Train Loss: 2.5484, Train Accuracy: 0.2174
Epoch 1 training time consumed: 28.51s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0101, Accuracy: 0.2336, Time consumed:1.04s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_04h_06m_40s/ResNet18-Cifar20-seed8-ret25-1-best.pth
Training Epoch: 2 [256/46200]	Loss: 2.5752	LR: 0.100000
Training Epoch: 2 [512/46200]	Loss: 2.3420	LR: 0.100000
Training Epoch: 2 [768/46200]	Loss: 2.4918	LR: 0.100000
Training Epoch: 2 [1024/46200]	Loss: 2.3533	LR: 0.100000
Training Epoch: 2 [1280/46200]	Loss: 2.2869	LR: 0.100000
Training Epoch: 2 [1536/46200]	Loss: 2.3894	LR: 0.100000
Training Epoch: 2 [1792/46200]	Loss: 2.4078	LR: 0.100000
Training Epoch: 2 [2048/46200]	Loss: 2.3653	LR: 0.100000
Training Epoch: 2 [2304/46200]	Loss: 2.2432	LR: 0.100000
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Epoch 2 - Average Train Loss: 2.1712, Train Accuracy: 0.3241
Epoch 2 training time consumed: 27.63s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0081, Accuracy: 0.3734, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_04h_06m_40s/ResNet18-Cifar20-seed8-ret25-2-best.pth
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Training Epoch: 3 [46200/46200]	Loss: 1.6242	LR: 0.100000
Epoch 3 - Average Train Loss: 1.8918, Train Accuracy: 0.4055
Epoch 3 training time consumed: 27.60s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0072, Accuracy: 0.4373, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_04h_06m_40s/ResNet18-Cifar20-seed8-ret25-3-best.pth
Training Epoch: 4 [256/46200]	Loss: 1.8482	LR: 0.100000
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Training Epoch: 4 [46200/46200]	Loss: 1.5711	LR: 0.100000
Epoch 4 - Average Train Loss: 1.6991, Train Accuracy: 0.4603
Epoch 4 training time consumed: 27.50s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0068, Accuracy: 0.4730, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_04h_06m_40s/ResNet18-Cifar20-seed8-ret25-4-best.pth
Training Epoch: 5 [256/46200]	Loss: 1.6375	LR: 0.100000
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Epoch 5 - Average Train Loss: 1.5269, Train Accuracy: 0.5125
Epoch 5 training time consumed: 27.60s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0065, Accuracy: 0.4854, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_04h_06m_40s/ResNet18-Cifar20-seed8-ret25-5-best.pth
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Training Epoch: 6 [46080/46200]	Loss: 1.2733	LR: 0.100000
Training Epoch: 6 [46200/46200]	Loss: 1.3676	LR: 0.100000
Epoch 6 - Average Train Loss: 1.3933, Train Accuracy: 0.5524
Epoch 6 training time consumed: 27.89s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0056, Accuracy: 0.5497, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_04h_06m_40s/ResNet18-Cifar20-seed8-ret25-6-best.pth
Training Epoch: 7 [256/46200]	Loss: 1.2987	LR: 0.100000
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Training Epoch: 7 [46200/46200]	Loss: 1.3395	LR: 0.100000
Epoch 7 - Average Train Loss: 1.2909, Train Accuracy: 0.5868
Epoch 7 training time consumed: 27.86s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0055, Accuracy: 0.5678, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_04h_06m_40s/ResNet18-Cifar20-seed8-ret25-7-best.pth
Training Epoch: 8 [256/46200]	Loss: 1.2559	LR: 0.100000
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Training Epoch: 8 [46200/46200]	Loss: 1.1500	LR: 0.100000
Epoch 8 - Average Train Loss: 1.1931, Train Accuracy: 0.6160
Epoch 8 training time consumed: 27.93s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0053, Accuracy: 0.5908, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_04h_06m_40s/ResNet18-Cifar20-seed8-ret25-8-best.pth
Training Epoch: 9 [256/46200]	Loss: 1.0677	LR: 0.100000
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Training Epoch: 9 [46200/46200]	Loss: 1.1336	LR: 0.100000
Epoch 9 - Average Train Loss: 1.1205, Train Accuracy: 0.6367
Epoch 9 training time consumed: 27.65s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0050, Accuracy: 0.6076, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_04h_06m_40s/ResNet18-Cifar20-seed8-ret25-9-best.pth
Training Epoch: 10 [256/46200]	Loss: 1.0182	LR: 0.100000
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Epoch 10 - Average Train Loss: 1.0645, Train Accuracy: 0.6544
Epoch 10 training time consumed: 27.52s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0045, Accuracy: 0.6446, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_04h_06m_40s/ResNet18-Cifar20-seed8-ret25-10-best.pth
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Training Epoch: 11 [37120/46200]	Loss: 0.9607	LR: 0.100000
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Training Epoch: 11 [37632/46200]	Loss: 1.1635	LR: 0.100000
Training Epoch: 11 [37888/46200]	Loss: 0.9211	LR: 0.100000
Training Epoch: 11 [38144/46200]	Loss: 0.9843	LR: 0.100000
Training Epoch: 11 [38400/46200]	Loss: 0.9384	LR: 0.100000
Training Epoch: 11 [38656/46200]	Loss: 1.0524	LR: 0.100000
Training Epoch: 11 [38912/46200]	Loss: 0.9832	LR: 0.100000
Training Epoch: 11 [39168/46200]	Loss: 1.0910	LR: 0.100000
Training Epoch: 11 [39424/46200]	Loss: 1.1336	LR: 0.100000
Training Epoch: 11 [39680/46200]	Loss: 1.0348	LR: 0.100000
Training Epoch: 11 [39936/46200]	Loss: 0.8959	LR: 0.100000
Training Epoch: 11 [40192/46200]	Loss: 1.1321	LR: 0.100000
Training Epoch: 11 [40448/46200]	Loss: 0.9791	LR: 0.100000
Training Epoch: 11 [40704/46200]	Loss: 0.9965	LR: 0.100000
Training Epoch: 11 [40960/46200]	Loss: 1.0769	LR: 0.100000
Training Epoch: 11 [41216/46200]	Loss: 0.9249	LR: 0.100000
Training Epoch: 11 [41472/46200]	Loss: 0.9404	LR: 0.100000
Training Epoch: 11 [41728/46200]	Loss: 0.9576	LR: 0.100000
Training Epoch: 11 [41984/46200]	Loss: 1.0696	LR: 0.100000
Training Epoch: 11 [42240/46200]	Loss: 0.9617	LR: 0.100000
Training Epoch: 11 [42496/46200]	Loss: 1.0004	LR: 0.100000
Training Epoch: 11 [42752/46200]	Loss: 0.7958	LR: 0.100000
Training Epoch: 11 [43008/46200]	Loss: 1.0296	LR: 0.100000
Training Epoch: 11 [43264/46200]	Loss: 1.0155	LR: 0.100000
Training Epoch: 11 [43520/46200]	Loss: 1.0712	LR: 0.100000
Training Epoch: 11 [43776/46200]	Loss: 0.9874	LR: 0.100000
Training Epoch: 11 [44032/46200]	Loss: 0.9531	LR: 0.100000
Training Epoch: 11 [44288/46200]	Loss: 0.9836	LR: 0.100000
Training Epoch: 11 [44544/46200]	Loss: 1.0463	LR: 0.100000
Training Epoch: 11 [44800/46200]	Loss: 0.9886	LR: 0.100000
Training Epoch: 11 [45056/46200]	Loss: 0.9086	LR: 0.100000
Training Epoch: 11 [45312/46200]	Loss: 0.9751	LR: 0.100000
Training Epoch: 11 [45568/46200]	Loss: 0.8091	LR: 0.100000
Training Epoch: 11 [45824/46200]	Loss: 0.9584	LR: 0.100000
Training Epoch: 11 [46080/46200]	Loss: 1.1527	LR: 0.100000
Training Epoch: 11 [46200/46200]	Loss: 1.1068	LR: 0.100000
Epoch 11 - Average Train Loss: 1.0135, Train Accuracy: 0.6701
Epoch 11 training time consumed: 27.67s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0046, Accuracy: 0.6401, Time consumed:0.91s
Training Epoch: 12 [256/46200]	Loss: 0.9810	LR: 0.100000
Training Epoch: 12 [512/46200]	Loss: 0.8672	LR: 0.100000
Training Epoch: 12 [768/46200]	Loss: 0.8968	LR: 0.100000
Training Epoch: 12 [1024/46200]	Loss: 0.9755	LR: 0.100000
Training Epoch: 12 [1280/46200]	Loss: 1.0045	LR: 0.100000
Training Epoch: 12 [1536/46200]	Loss: 0.9264	LR: 0.100000
Training Epoch: 12 [1792/46200]	Loss: 1.0710	LR: 0.100000
Training Epoch: 12 [2048/46200]	Loss: 0.9435	LR: 0.100000
Training Epoch: 12 [2304/46200]	Loss: 1.0336	LR: 0.100000
Training Epoch: 12 [2560/46200]	Loss: 0.9671	LR: 0.100000
Training Epoch: 12 [2816/46200]	Loss: 0.9740	LR: 0.100000
Training Epoch: 12 [3072/46200]	Loss: 0.9743	LR: 0.100000
Training Epoch: 12 [3328/46200]	Loss: 0.9956	LR: 0.100000
Training Epoch: 12 [3584/46200]	Loss: 0.9197	LR: 0.100000
Training Epoch: 12 [3840/46200]	Loss: 0.9953	LR: 0.100000
Training Epoch: 12 [4096/46200]	Loss: 0.9158	LR: 0.100000
Training Epoch: 12 [4352/46200]	Loss: 0.9529	LR: 0.100000
Training Epoch: 12 [4608/46200]	Loss: 1.0912	LR: 0.100000
Training Epoch: 12 [4864/46200]	Loss: 0.8923	LR: 0.100000
Training Epoch: 12 [5120/46200]	Loss: 1.0649	LR: 0.100000
Training Epoch: 12 [5376/46200]	Loss: 0.7542	LR: 0.100000
Training Epoch: 12 [5632/46200]	Loss: 0.8590	LR: 0.100000
Training Epoch: 12 [5888/46200]	Loss: 1.0716	LR: 0.100000
Training Epoch: 12 [6144/46200]	Loss: 0.8652	LR: 0.100000
Training Epoch: 12 [6400/46200]	Loss: 0.9873	LR: 0.100000
Training Epoch: 12 [6656/46200]	Loss: 0.9768	LR: 0.100000
Training Epoch: 12 [6912/46200]	Loss: 0.9284	LR: 0.100000
Training Epoch: 12 [7168/46200]	Loss: 0.9423	LR: 0.100000
Training Epoch: 12 [7424/46200]	Loss: 0.9897	LR: 0.100000
Training Epoch: 12 [7680/46200]	Loss: 0.9186	LR: 0.100000
Training Epoch: 12 [7936/46200]	Loss: 0.9158	LR: 0.100000
Training Epoch: 12 [8192/46200]	Loss: 0.9315	LR: 0.100000
Training Epoch: 12 [8448/46200]	Loss: 0.8424	LR: 0.100000
Training Epoch: 12 [8704/46200]	Loss: 0.8977	LR: 0.100000
Training Epoch: 12 [8960/46200]	Loss: 1.0227	LR: 0.100000
Training Epoch: 12 [9216/46200]	Loss: 0.9198	LR: 0.100000
Training Epoch: 12 [9472/46200]	Loss: 0.9241	LR: 0.100000
Training Epoch: 12 [9728/46200]	Loss: 0.9603	LR: 0.100000
Training Epoch: 12 [9984/46200]	Loss: 0.9770	LR: 0.100000
Training Epoch: 12 [10240/46200]	Loss: 0.9612	LR: 0.100000
Training Epoch: 12 [10496/46200]	Loss: 0.9260	LR: 0.100000
Training Epoch: 12 [10752/46200]	Loss: 0.9602	LR: 0.100000
Training Epoch: 12 [11008/46200]	Loss: 0.9384	LR: 0.100000
Training Epoch: 12 [11264/46200]	Loss: 1.0315	LR: 0.100000
Training Epoch: 12 [11520/46200]	Loss: 0.8378	LR: 0.100000
Training Epoch: 12 [11776/46200]	Loss: 0.9355	LR: 0.100000
Training Epoch: 12 [12032/46200]	Loss: 0.8780	LR: 0.100000
Training Epoch: 12 [12288/46200]	Loss: 0.9938	LR: 0.100000
Training Epoch: 12 [12544/46200]	Loss: 0.8973	LR: 0.100000
Training Epoch: 12 [12800/46200]	Loss: 0.8402	LR: 0.100000
Training Epoch: 12 [13056/46200]	Loss: 0.8696	LR: 0.100000
Training Epoch: 12 [13312/46200]	Loss: 1.0313	LR: 0.100000
Training Epoch: 12 [13568/46200]	Loss: 0.9880	LR: 0.100000
Training Epoch: 12 [13824/46200]	Loss: 1.0317	LR: 0.100000
Training Epoch: 12 [14080/46200]	Loss: 1.0977	LR: 0.100000
Training Epoch: 12 [14336/46200]	Loss: 1.1889	LR: 0.100000
Training Epoch: 12 [14592/46200]	Loss: 0.8720	LR: 0.100000
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Training Epoch: 12 [15104/46200]	Loss: 0.9435	LR: 0.100000
Training Epoch: 12 [15360/46200]	Loss: 1.0185	LR: 0.100000
Training Epoch: 12 [15616/46200]	Loss: 0.9292	LR: 0.100000
Training Epoch: 12 [15872/46200]	Loss: 0.8569	LR: 0.100000
Training Epoch: 12 [16128/46200]	Loss: 0.9382	LR: 0.100000
Training Epoch: 12 [16384/46200]	Loss: 0.9088	LR: 0.100000
Training Epoch: 12 [16640/46200]	Loss: 0.9186	LR: 0.100000
Training Epoch: 12 [16896/46200]	Loss: 1.0000	LR: 0.100000
Training Epoch: 12 [17152/46200]	Loss: 1.0338	LR: 0.100000
Training Epoch: 12 [17408/46200]	Loss: 1.1141	LR: 0.100000
Training Epoch: 12 [17664/46200]	Loss: 0.9096	LR: 0.100000
Training Epoch: 12 [17920/46200]	Loss: 1.0755	LR: 0.100000
Training Epoch: 12 [18176/46200]	Loss: 0.8935	LR: 0.100000
Training Epoch: 12 [18432/46200]	Loss: 0.9161	LR: 0.100000
Training Epoch: 12 [18688/46200]	Loss: 0.9238	LR: 0.100000
Training Epoch: 12 [18944/46200]	Loss: 0.9368	LR: 0.100000
Training Epoch: 12 [19200/46200]	Loss: 0.8843	LR: 0.100000
Training Epoch: 12 [19456/46200]	Loss: 0.9337	LR: 0.100000
Training Epoch: 12 [19712/46200]	Loss: 0.9400	LR: 0.100000
Training Epoch: 12 [19968/46200]	Loss: 0.9615	LR: 0.100000
Training Epoch: 12 [20224/46200]	Loss: 0.9439	LR: 0.100000
Training Epoch: 12 [20480/46200]	Loss: 1.1766	LR: 0.100000
Training Epoch: 12 [20736/46200]	Loss: 0.9282	LR: 0.100000
Training Epoch: 12 [20992/46200]	Loss: 0.9323	LR: 0.100000
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Training Epoch: 12 [22016/46200]	Loss: 0.9720	LR: 0.100000
Training Epoch: 12 [22272/46200]	Loss: 0.9801	LR: 0.100000
Training Epoch: 12 [22528/46200]	Loss: 1.1033	LR: 0.100000
Training Epoch: 12 [22784/46200]	Loss: 0.9441	LR: 0.100000
Training Epoch: 12 [23040/46200]	Loss: 0.9100	LR: 0.100000
Training Epoch: 12 [23296/46200]	Loss: 0.9569	LR: 0.100000
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Training Epoch: 12 [26624/46200]	Loss: 1.0931	LR: 0.100000
Training Epoch: 12 [26880/46200]	Loss: 0.9384	LR: 0.100000
Training Epoch: 12 [27136/46200]	Loss: 1.0058	LR: 0.100000
Training Epoch: 12 [27392/46200]	Loss: 1.0315	LR: 0.100000
Training Epoch: 12 [27648/46200]	Loss: 0.9021	LR: 0.100000
Training Epoch: 12 [27904/46200]	Loss: 0.9154	LR: 0.100000
Training Epoch: 12 [28160/46200]	Loss: 1.1259	LR: 0.100000
Training Epoch: 12 [28416/46200]	Loss: 0.8889	LR: 0.100000
Training Epoch: 12 [28672/46200]	Loss: 1.0193	LR: 0.100000
Training Epoch: 12 [28928/46200]	Loss: 0.9609	LR: 0.100000
Training Epoch: 12 [29184/46200]	Loss: 1.0467	LR: 0.100000
Training Epoch: 12 [29440/46200]	Loss: 0.9995	LR: 0.100000
Training Epoch: 12 [29696/46200]	Loss: 0.8307	LR: 0.100000
Training Epoch: 12 [29952/46200]	Loss: 0.9739	LR: 0.100000
Training Epoch: 12 [30208/46200]	Loss: 0.9336	LR: 0.100000
Training Epoch: 12 [30464/46200]	Loss: 0.9678	LR: 0.100000
Training Epoch: 12 [30720/46200]	Loss: 0.9921	LR: 0.100000
Training Epoch: 12 [30976/46200]	Loss: 0.8706	LR: 0.100000
Training Epoch: 12 [31232/46200]	Loss: 0.9499	LR: 0.100000
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Training Epoch: 12 [35072/46200]	Loss: 0.8495	LR: 0.100000
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Training Epoch: 12 [36864/46200]	Loss: 0.9429	LR: 0.100000
Training Epoch: 12 [37120/46200]	Loss: 0.9833	LR: 0.100000
Training Epoch: 12 [37376/46200]	Loss: 0.8796	LR: 0.100000
Training Epoch: 12 [37632/46200]	Loss: 1.0515	LR: 0.100000
Training Epoch: 12 [37888/46200]	Loss: 0.8818	LR: 0.100000
Training Epoch: 12 [38144/46200]	Loss: 1.0336	LR: 0.100000
Training Epoch: 12 [38400/46200]	Loss: 0.9011	LR: 0.100000
Training Epoch: 12 [38656/46200]	Loss: 0.9158	LR: 0.100000
Training Epoch: 12 [38912/46200]	Loss: 1.0495	LR: 0.100000
Training Epoch: 12 [39168/46200]	Loss: 1.0417	LR: 0.100000
Training Epoch: 12 [39424/46200]	Loss: 1.0231	LR: 0.100000
Training Epoch: 12 [39680/46200]	Loss: 0.9643	LR: 0.100000
Training Epoch: 12 [39936/46200]	Loss: 0.9333	LR: 0.100000
Training Epoch: 12 [40192/46200]	Loss: 1.0111	LR: 0.100000
Training Epoch: 12 [40448/46200]	Loss: 0.8706	LR: 0.100000
Training Epoch: 12 [40704/46200]	Loss: 1.0188	LR: 0.100000
Training Epoch: 12 [40960/46200]	Loss: 0.9391	LR: 0.100000
Training Epoch: 12 [41216/46200]	Loss: 1.0747	LR: 0.100000
Training Epoch: 12 [41472/46200]	Loss: 1.1016	LR: 0.100000
Training Epoch: 12 [41728/46200]	Loss: 0.9613	LR: 0.100000
Training Epoch: 12 [41984/46200]	Loss: 1.0214	LR: 0.100000
Training Epoch: 12 [42240/46200]	Loss: 1.0891	LR: 0.100000
Training Epoch: 12 [42496/46200]	Loss: 0.9692	LR: 0.100000
Training Epoch: 12 [42752/46200]	Loss: 0.8761	LR: 0.100000
Training Epoch: 12 [43008/46200]	Loss: 0.9534	LR: 0.100000
Training Epoch: 12 [43264/46200]	Loss: 1.2629	LR: 0.100000
Training Epoch: 12 [43520/46200]	Loss: 0.9453	LR: 0.100000
Training Epoch: 12 [43776/46200]	Loss: 0.9743	LR: 0.100000
Training Epoch: 12 [44032/46200]	Loss: 1.0399	LR: 0.100000
Training Epoch: 12 [44288/46200]	Loss: 0.9974	LR: 0.100000
Training Epoch: 12 [44544/46200]	Loss: 0.7137	LR: 0.100000
Training Epoch: 12 [44800/46200]	Loss: 0.9654	LR: 0.100000
Training Epoch: 12 [45056/46200]	Loss: 1.0010	LR: 0.100000
Training Epoch: 12 [45312/46200]	Loss: 0.9371	LR: 0.100000
Training Epoch: 12 [45568/46200]	Loss: 0.9807	LR: 0.100000
Training Epoch: 12 [45824/46200]	Loss: 1.0336	LR: 0.100000
Training Epoch: 12 [46080/46200]	Loss: 0.8438	LR: 0.100000
Training Epoch: 12 [46200/46200]	Loss: 1.1383	LR: 0.100000
Epoch 12 - Average Train Loss: 0.9687, Train Accuracy: 0.6858
Epoch 12 training time consumed: 27.60s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0045, Accuracy: 0.6436, Time consumed:0.90s
Training Epoch: 13 [256/46200]	Loss: 0.9186	LR: 0.100000
Training Epoch: 13 [512/46200]	Loss: 0.9876	LR: 0.100000
Training Epoch: 13 [768/46200]	Loss: 0.9670	LR: 0.100000
Training Epoch: 13 [1024/46200]	Loss: 1.0017	LR: 0.100000
Training Epoch: 13 [1280/46200]	Loss: 0.9931	LR: 0.100000
Training Epoch: 13 [1536/46200]	Loss: 0.9991	LR: 0.100000
Training Epoch: 13 [1792/46200]	Loss: 0.9098	LR: 0.100000
Training Epoch: 13 [2048/46200]	Loss: 1.0317	LR: 0.100000
Training Epoch: 13 [2304/46200]	Loss: 0.8245	LR: 0.100000
Training Epoch: 13 [2560/46200]	Loss: 0.8783	LR: 0.100000
Training Epoch: 13 [2816/46200]	Loss: 0.9503	LR: 0.100000
Training Epoch: 13 [3072/46200]	Loss: 1.0351	LR: 0.100000
Training Epoch: 13 [3328/46200]	Loss: 0.8023	LR: 0.100000
Training Epoch: 13 [3584/46200]	Loss: 0.8917	LR: 0.100000
Training Epoch: 13 [3840/46200]	Loss: 1.0175	LR: 0.100000
Training Epoch: 13 [4096/46200]	Loss: 1.0048	LR: 0.100000
Training Epoch: 13 [4352/46200]	Loss: 0.9682	LR: 0.100000
Training Epoch: 13 [4608/46200]	Loss: 1.0813	LR: 0.100000
Training Epoch: 13 [4864/46200]	Loss: 0.9373	LR: 0.100000
Training Epoch: 13 [5120/46200]	Loss: 0.9164	LR: 0.100000
Training Epoch: 13 [5376/46200]	Loss: 1.0194	LR: 0.100000
Training Epoch: 13 [5632/46200]	Loss: 0.9937	LR: 0.100000
Training Epoch: 13 [5888/46200]	Loss: 0.9700	LR: 0.100000
Training Epoch: 13 [6144/46200]	Loss: 0.8531	LR: 0.100000
Training Epoch: 13 [6400/46200]	Loss: 0.8389	LR: 0.100000
Training Epoch: 13 [6656/46200]	Loss: 0.9244	LR: 0.100000
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Training Epoch: 13 [7168/46200]	Loss: 0.9304	LR: 0.100000
Training Epoch: 13 [7424/46200]	Loss: 0.9337	LR: 0.100000
Training Epoch: 13 [7680/46200]	Loss: 0.8573	LR: 0.100000
Training Epoch: 13 [7936/46200]	Loss: 0.8948	LR: 0.100000
Training Epoch: 13 [8192/46200]	Loss: 1.0799	LR: 0.100000
Training Epoch: 13 [8448/46200]	Loss: 0.9594	LR: 0.100000
Training Epoch: 13 [8704/46200]	Loss: 0.9386	LR: 0.100000
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Training Epoch: 13 [9472/46200]	Loss: 0.9494	LR: 0.100000
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Training Epoch: 13 [10240/46200]	Loss: 0.9359	LR: 0.100000
Training Epoch: 13 [10496/46200]	Loss: 0.8092	LR: 0.100000
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Training Epoch: 13 [11008/46200]	Loss: 0.8600	LR: 0.100000
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Training Epoch: 13 [11520/46200]	Loss: 0.8490	LR: 0.100000
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Training Epoch: 13 [16896/46200]	Loss: 0.8999	LR: 0.100000
Training Epoch: 13 [17152/46200]	Loss: 0.8775	LR: 0.100000
Training Epoch: 13 [17408/46200]	Loss: 0.9543	LR: 0.100000
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Training Epoch: 13 [17920/46200]	Loss: 0.9192	LR: 0.100000
Training Epoch: 13 [18176/46200]	Loss: 0.9517	LR: 0.100000
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Training Epoch: 13 [19200/46200]	Loss: 0.8559	LR: 0.100000
Training Epoch: 13 [19456/46200]	Loss: 0.9509	LR: 0.100000
Training Epoch: 13 [19712/46200]	Loss: 0.8031	LR: 0.100000
Training Epoch: 13 [19968/46200]	Loss: 0.8499	LR: 0.100000
Training Epoch: 13 [20224/46200]	Loss: 1.0748	LR: 0.100000
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Training Epoch: 13 [46200/46200]	Loss: 0.8889	LR: 0.100000
Epoch 13 - Average Train Loss: 0.9395, Train Accuracy: 0.6963
Epoch 13 training time consumed: 27.62s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0047, Accuracy: 0.6383, Time consumed:0.92s
Training Epoch: 14 [256/46200]	Loss: 0.9151	LR: 0.100000
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Training Epoch: 14 [46080/46200]	Loss: 0.9173	LR: 0.100000
Training Epoch: 14 [46200/46200]	Loss: 0.9457	LR: 0.100000
Epoch 14 - Average Train Loss: 0.9057, Train Accuracy: 0.7051
Epoch 14 training time consumed: 27.67s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0041, Accuracy: 0.6693, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_04h_06m_40s/ResNet18-Cifar20-seed8-ret25-14-best.pth
Training Epoch: 15 [256/46200]	Loss: 0.9738	LR: 0.020000
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Training Epoch: 15 [46200/46200]	Loss: 0.5744	LR: 0.020000
Epoch 15 - Average Train Loss: 0.6677, Train Accuracy: 0.7837
Epoch 15 training time consumed: 27.79s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0029, Accuracy: 0.7613, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_04h_06m_40s/ResNet18-Cifar20-seed8-ret25-15-best.pth
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Training Epoch: 16 [46200/46200]	Loss: 0.4932	LR: 0.020000
Epoch 16 - Average Train Loss: 0.5848, Train Accuracy: 0.8079
Epoch 16 training time consumed: 27.62s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0030, Accuracy: 0.7621, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_04h_06m_40s/ResNet18-Cifar20-seed8-ret25-16-best.pth
Training Epoch: 17 [256/46200]	Loss: 0.4462	LR: 0.020000
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Training Epoch: 17 [46200/46200]	Loss: 0.4187	LR: 0.020000
Epoch 17 - Average Train Loss: 0.5480, Train Accuracy: 0.8195
Epoch 17 training time consumed: 27.83s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0029, Accuracy: 0.7705, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_04h_06m_40s/ResNet18-Cifar20-seed8-ret25-17-best.pth
Training Epoch: 18 [256/46200]	Loss: 0.5388	LR: 0.020000
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Training Epoch: 18 [8704/46200]	Loss: 0.4859	LR: 0.020000
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Training Epoch: 18 [9216/46200]	Loss: 0.5160	LR: 0.020000
Training Epoch: 18 [9472/46200]	Loss: 0.5653	LR: 0.020000
Training Epoch: 18 [9728/46200]	Loss: 0.5226	LR: 0.020000
Training Epoch: 18 [9984/46200]	Loss: 0.5459	LR: 0.020000
Training Epoch: 18 [10240/46200]	Loss: 0.5026	LR: 0.020000
Training Epoch: 18 [10496/46200]	Loss: 0.4431	LR: 0.020000
Training Epoch: 18 [10752/46200]	Loss: 0.5146	LR: 0.020000
Training Epoch: 18 [11008/46200]	Loss: 0.5469	LR: 0.020000
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Training Epoch: 18 [11520/46200]	Loss: 0.4751	LR: 0.020000
Training Epoch: 18 [11776/46200]	Loss: 0.3978	LR: 0.020000
Training Epoch: 18 [12032/46200]	Loss: 0.6367	LR: 0.020000
Training Epoch: 18 [12288/46200]	Loss: 0.5541	LR: 0.020000
Training Epoch: 18 [12544/46200]	Loss: 0.5130	LR: 0.020000
Training Epoch: 18 [12800/46200]	Loss: 0.4681	LR: 0.020000
Training Epoch: 18 [13056/46200]	Loss: 0.4859	LR: 0.020000
Training Epoch: 18 [13312/46200]	Loss: 0.5612	LR: 0.020000
Training Epoch: 18 [13568/46200]	Loss: 0.4895	LR: 0.020000
Training Epoch: 18 [13824/46200]	Loss: 0.5288	LR: 0.020000
Training Epoch: 18 [14080/46200]	Loss: 0.4570	LR: 0.020000
Training Epoch: 18 [14336/46200]	Loss: 0.4594	LR: 0.020000
Training Epoch: 18 [14592/46200]	Loss: 0.5408	LR: 0.020000
Training Epoch: 18 [14848/46200]	Loss: 0.5223	LR: 0.020000
Training Epoch: 18 [15104/46200]	Loss: 0.5756	LR: 0.020000
Training Epoch: 18 [15360/46200]	Loss: 0.4732	LR: 0.020000
Training Epoch: 18 [15616/46200]	Loss: 0.6065	LR: 0.020000
Training Epoch: 18 [15872/46200]	Loss: 0.5450	LR: 0.020000
Training Epoch: 18 [16128/46200]	Loss: 0.3993	LR: 0.020000
Training Epoch: 18 [16384/46200]	Loss: 0.5820	LR: 0.020000
Training Epoch: 18 [16640/46200]	Loss: 0.5310	LR: 0.020000
Training Epoch: 18 [16896/46200]	Loss: 0.5552	LR: 0.020000
Training Epoch: 18 [17152/46200]	Loss: 0.5491	LR: 0.020000
Training Epoch: 18 [17408/46200]	Loss: 0.5579	LR: 0.020000
Training Epoch: 18 [17664/46200]	Loss: 0.4795	LR: 0.020000
Training Epoch: 18 [17920/46200]	Loss: 0.4439	LR: 0.020000
Training Epoch: 18 [18176/46200]	Loss: 0.4869	LR: 0.020000
Training Epoch: 18 [18432/46200]	Loss: 0.5590	LR: 0.020000
Training Epoch: 18 [18688/46200]	Loss: 0.5014	LR: 0.020000
Training Epoch: 18 [18944/46200]	Loss: 0.4612	LR: 0.020000
Training Epoch: 18 [19200/46200]	Loss: 0.4691	LR: 0.020000
Training Epoch: 18 [19456/46200]	Loss: 0.5119	LR: 0.020000
Training Epoch: 18 [19712/46200]	Loss: 0.5005	LR: 0.020000
Training Epoch: 18 [19968/46200]	Loss: 0.5187	LR: 0.020000
Training Epoch: 18 [20224/46200]	Loss: 0.4655	LR: 0.020000
Training Epoch: 18 [20480/46200]	Loss: 0.6673	LR: 0.020000
Training Epoch: 18 [20736/46200]	Loss: 0.5850	LR: 0.020000
Training Epoch: 18 [20992/46200]	Loss: 0.5639	LR: 0.020000
Training Epoch: 18 [21248/46200]	Loss: 0.4630	LR: 0.020000
Training Epoch: 18 [21504/46200]	Loss: 0.5386	LR: 0.020000
Training Epoch: 18 [21760/46200]	Loss: 0.4965	LR: 0.020000
Training Epoch: 18 [22016/46200]	Loss: 0.4818	LR: 0.020000
Training Epoch: 18 [22272/46200]	Loss: 0.4930	LR: 0.020000
Training Epoch: 18 [22528/46200]	Loss: 0.5414	LR: 0.020000
Training Epoch: 18 [22784/46200]	Loss: 0.6267	LR: 0.020000
Training Epoch: 18 [23040/46200]	Loss: 0.5015	LR: 0.020000
Training Epoch: 18 [23296/46200]	Loss: 0.5279	LR: 0.020000
Training Epoch: 18 [23552/46200]	Loss: 0.5648	LR: 0.020000
Training Epoch: 18 [23808/46200]	Loss: 0.4457	LR: 0.020000
Training Epoch: 18 [24064/46200]	Loss: 0.5391	LR: 0.020000
Training Epoch: 18 [24320/46200]	Loss: 0.6800	LR: 0.020000
Training Epoch: 18 [24576/46200]	Loss: 0.5828	LR: 0.020000
Training Epoch: 18 [24832/46200]	Loss: 0.4146	LR: 0.020000
Training Epoch: 18 [25088/46200]	Loss: 0.6684	LR: 0.020000
Training Epoch: 18 [25344/46200]	Loss: 0.4642	LR: 0.020000
Training Epoch: 18 [25600/46200]	Loss: 0.4885	LR: 0.020000
Training Epoch: 18 [25856/46200]	Loss: 0.5047	LR: 0.020000
Training Epoch: 18 [26112/46200]	Loss: 0.5621	LR: 0.020000
Training Epoch: 18 [26368/46200]	Loss: 0.5648	LR: 0.020000
Training Epoch: 18 [26624/46200]	Loss: 0.5216	LR: 0.020000
Training Epoch: 18 [26880/46200]	Loss: 0.4474	LR: 0.020000
Training Epoch: 18 [27136/46200]	Loss: 0.5973	LR: 0.020000
Training Epoch: 18 [27392/46200]	Loss: 0.5420	LR: 0.020000
Training Epoch: 18 [27648/46200]	Loss: 0.5248	LR: 0.020000
Training Epoch: 18 [27904/46200]	Loss: 0.5637	LR: 0.020000
Training Epoch: 18 [28160/46200]	Loss: 0.6133	LR: 0.020000
Training Epoch: 18 [28416/46200]	Loss: 0.5393	LR: 0.020000
Training Epoch: 18 [28672/46200]	Loss: 0.5099	LR: 0.020000
Training Epoch: 18 [28928/46200]	Loss: 0.5862	LR: 0.020000
Training Epoch: 18 [29184/46200]	Loss: 0.5563	LR: 0.020000
Training Epoch: 18 [29440/46200]	Loss: 0.5001	LR: 0.020000
Training Epoch: 18 [29696/46200]	Loss: 0.4801	LR: 0.020000
Training Epoch: 18 [29952/46200]	Loss: 0.5976	LR: 0.020000
Training Epoch: 18 [30208/46200]	Loss: 0.4924	LR: 0.020000
Training Epoch: 18 [30464/46200]	Loss: 0.6438	LR: 0.020000
Training Epoch: 18 [30720/46200]	Loss: 0.5060	LR: 0.020000
Training Epoch: 18 [30976/46200]	Loss: 0.6351	LR: 0.020000
Training Epoch: 18 [31232/46200]	Loss: 0.5815	LR: 0.020000
Training Epoch: 18 [31488/46200]	Loss: 0.4809	LR: 0.020000
Training Epoch: 18 [31744/46200]	Loss: 0.4375	LR: 0.020000
Training Epoch: 18 [32000/46200]	Loss: 0.5636	LR: 0.020000
Training Epoch: 18 [32256/46200]	Loss: 0.5305	LR: 0.020000
Training Epoch: 18 [32512/46200]	Loss: 0.5448	LR: 0.020000
Training Epoch: 18 [32768/46200]	Loss: 0.3952	LR: 0.020000
Training Epoch: 18 [33024/46200]	Loss: 0.4284	LR: 0.020000
Training Epoch: 18 [33280/46200]	Loss: 0.4897	LR: 0.020000
Training Epoch: 18 [33536/46200]	Loss: 0.6011	LR: 0.020000
Training Epoch: 18 [33792/46200]	Loss: 0.5734	LR: 0.020000
Training Epoch: 18 [34048/46200]	Loss: 0.4675	LR: 0.020000
Training Epoch: 18 [34304/46200]	Loss: 0.4161	LR: 0.020000
Training Epoch: 18 [34560/46200]	Loss: 0.4959	LR: 0.020000
Training Epoch: 18 [34816/46200]	Loss: 0.5010	LR: 0.020000
Training Epoch: 18 [35072/46200]	Loss: 0.4947	LR: 0.020000
Training Epoch: 18 [35328/46200]	Loss: 0.6107	LR: 0.020000
Training Epoch: 18 [35584/46200]	Loss: 0.5117	LR: 0.020000
Training Epoch: 18 [35840/46200]	Loss: 0.5404	LR: 0.020000
Training Epoch: 18 [36096/46200]	Loss: 0.5652	LR: 0.020000
Training Epoch: 18 [36352/46200]	Loss: 0.4516	LR: 0.020000
Training Epoch: 18 [36608/46200]	Loss: 0.5281	LR: 0.020000
Training Epoch: 18 [36864/46200]	Loss: 0.5241	LR: 0.020000
Training Epoch: 18 [37120/46200]	Loss: 0.5143	LR: 0.020000
Training Epoch: 18 [37376/46200]	Loss: 0.5060	LR: 0.020000
Training Epoch: 18 [37632/46200]	Loss: 0.5756	LR: 0.020000
Training Epoch: 18 [37888/46200]	Loss: 0.5966	LR: 0.020000
Training Epoch: 18 [38144/46200]	Loss: 0.4977	LR: 0.020000
Training Epoch: 18 [38400/46200]	Loss: 0.4717	LR: 0.020000
Training Epoch: 18 [38656/46200]	Loss: 0.5637	LR: 0.020000
Training Epoch: 18 [38912/46200]	Loss: 0.6617	LR: 0.020000
Training Epoch: 18 [39168/46200]	Loss: 0.4611	LR: 0.020000
Training Epoch: 18 [39424/46200]	Loss: 0.4983	LR: 0.020000
Training Epoch: 18 [39680/46200]	Loss: 0.5393	LR: 0.020000
Training Epoch: 18 [39936/46200]	Loss: 0.4659	LR: 0.020000
Training Epoch: 18 [40192/46200]	Loss: 0.3985	LR: 0.020000
Training Epoch: 18 [40448/46200]	Loss: 0.5360	LR: 0.020000
Training Epoch: 18 [40704/46200]	Loss: 0.5494	LR: 0.020000
Training Epoch: 18 [40960/46200]	Loss: 0.4920	LR: 0.020000
Training Epoch: 18 [41216/46200]	Loss: 0.5376	LR: 0.020000
Training Epoch: 18 [41472/46200]	Loss: 0.4574	LR: 0.020000
Training Epoch: 18 [41728/46200]	Loss: 0.5864	LR: 0.020000
Training Epoch: 18 [41984/46200]	Loss: 0.5789	LR: 0.020000
Training Epoch: 18 [42240/46200]	Loss: 0.5672	LR: 0.020000
Training Epoch: 18 [42496/46200]	Loss: 0.5835	LR: 0.020000
Training Epoch: 18 [42752/46200]	Loss: 0.5489	LR: 0.020000
Training Epoch: 18 [43008/46200]	Loss: 0.5275	LR: 0.020000
Training Epoch: 18 [43264/46200]	Loss: 0.5020	LR: 0.020000
Training Epoch: 18 [43520/46200]	Loss: 0.5878	LR: 0.020000
Training Epoch: 18 [43776/46200]	Loss: 0.6342	LR: 0.020000
Training Epoch: 18 [44032/46200]	Loss: 0.5926	LR: 0.020000
Training Epoch: 18 [44288/46200]	Loss: 0.5349	LR: 0.020000
Training Epoch: 18 [44544/46200]	Loss: 0.4707	LR: 0.020000
Training Epoch: 18 [44800/46200]	Loss: 0.4841	LR: 0.020000
Training Epoch: 18 [45056/46200]	Loss: 0.6049	LR: 0.020000
Training Epoch: 18 [45312/46200]	Loss: 0.5095	LR: 0.020000
Training Epoch: 18 [45568/46200]	Loss: 0.5053	LR: 0.020000
Training Epoch: 18 [45824/46200]	Loss: 0.5580	LR: 0.020000
Training Epoch: 18 [46080/46200]	Loss: 0.5528	LR: 0.020000
Training Epoch: 18 [46200/46200]	Loss: 0.5291	LR: 0.020000
Epoch 18 - Average Train Loss: 0.5227, Train Accuracy: 0.8267
Epoch 18 training time consumed: 27.70s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0030, Accuracy: 0.7698, Time consumed:0.89s
Training Epoch: 19 [256/46200]	Loss: 0.4016	LR: 0.020000
Training Epoch: 19 [512/46200]	Loss: 0.4264	LR: 0.020000
Training Epoch: 19 [768/46200]	Loss: 0.3423	LR: 0.020000
Training Epoch: 19 [1024/46200]	Loss: 0.4412	LR: 0.020000
Training Epoch: 19 [1280/46200]	Loss: 0.4432	LR: 0.020000
Training Epoch: 19 [1536/46200]	Loss: 0.5247	LR: 0.020000
Training Epoch: 19 [1792/46200]	Loss: 0.4874	LR: 0.020000
Training Epoch: 19 [2048/46200]	Loss: 0.4699	LR: 0.020000
Training Epoch: 19 [2304/46200]	Loss: 0.4971	LR: 0.020000
Training Epoch: 19 [2560/46200]	Loss: 0.5058	LR: 0.020000
Training Epoch: 19 [2816/46200]	Loss: 0.4161	LR: 0.020000
Training Epoch: 19 [3072/46200]	Loss: 0.3952	LR: 0.020000
Training Epoch: 19 [3328/46200]	Loss: 0.4431	LR: 0.020000
Training Epoch: 19 [3584/46200]	Loss: 0.4467	LR: 0.020000
Training Epoch: 19 [3840/46200]	Loss: 0.5200	LR: 0.020000
Training Epoch: 19 [4096/46200]	Loss: 0.4050	LR: 0.020000
Training Epoch: 19 [4352/46200]	Loss: 0.4555	LR: 0.020000
Training Epoch: 19 [4608/46200]	Loss: 0.4383	LR: 0.020000
Training Epoch: 19 [4864/46200]	Loss: 0.5507	LR: 0.020000
Training Epoch: 19 [5120/46200]	Loss: 0.4760	LR: 0.020000
Training Epoch: 19 [5376/46200]	Loss: 0.4679	LR: 0.020000
Training Epoch: 19 [5632/46200]	Loss: 0.5851	LR: 0.020000
Training Epoch: 19 [5888/46200]	Loss: 0.3929	LR: 0.020000
Training Epoch: 19 [6144/46200]	Loss: 0.5497	LR: 0.020000
Training Epoch: 19 [6400/46200]	Loss: 0.5672	LR: 0.020000
Training Epoch: 19 [6656/46200]	Loss: 0.4721	LR: 0.020000
Training Epoch: 19 [6912/46200]	Loss: 0.4114	LR: 0.020000
Training Epoch: 19 [7168/46200]	Loss: 0.4085	LR: 0.020000
Training Epoch: 19 [7424/46200]	Loss: 0.4381	LR: 0.020000
Training Epoch: 19 [7680/46200]	Loss: 0.5546	LR: 0.020000
Training Epoch: 19 [7936/46200]	Loss: 0.5008	LR: 0.020000
Training Epoch: 19 [8192/46200]	Loss: 0.4429	LR: 0.020000
Training Epoch: 19 [8448/46200]	Loss: 0.3963	LR: 0.020000
Training Epoch: 19 [8704/46200]	Loss: 0.5855	LR: 0.020000
Training Epoch: 19 [8960/46200]	Loss: 0.5380	LR: 0.020000
Training Epoch: 19 [9216/46200]	Loss: 0.5110	LR: 0.020000
Training Epoch: 19 [9472/46200]	Loss: 0.5282	LR: 0.020000
Training Epoch: 19 [9728/46200]	Loss: 0.4636	LR: 0.020000
Training Epoch: 19 [9984/46200]	Loss: 0.4536	LR: 0.020000
Training Epoch: 19 [10240/46200]	Loss: 0.4294	LR: 0.020000
Training Epoch: 19 [10496/46200]	Loss: 0.4412	LR: 0.020000
Training Epoch: 19 [10752/46200]	Loss: 0.5174	LR: 0.020000
Training Epoch: 19 [11008/46200]	Loss: 0.5702	LR: 0.020000
Training Epoch: 19 [11264/46200]	Loss: 0.4946	LR: 0.020000
Training Epoch: 19 [11520/46200]	Loss: 0.4725	LR: 0.020000
Training Epoch: 19 [11776/46200]	Loss: 0.4927	LR: 0.020000
Training Epoch: 19 [12032/46200]	Loss: 0.3991	LR: 0.020000
Training Epoch: 19 [12288/46200]	Loss: 0.5292	LR: 0.020000
Training Epoch: 19 [12544/46200]	Loss: 0.5779	LR: 0.020000
Training Epoch: 19 [12800/46200]	Loss: 0.3694	LR: 0.020000
Training Epoch: 19 [13056/46200]	Loss: 0.5070	LR: 0.020000
Training Epoch: 19 [13312/46200]	Loss: 0.5214	LR: 0.020000
Training Epoch: 19 [13568/46200]	Loss: 0.4605	LR: 0.020000
Training Epoch: 19 [13824/46200]	Loss: 0.5099	LR: 0.020000
Training Epoch: 19 [14080/46200]	Loss: 0.5692	LR: 0.020000
Training Epoch: 19 [14336/46200]	Loss: 0.4315	LR: 0.020000
Training Epoch: 19 [14592/46200]	Loss: 0.5090	LR: 0.020000
Training Epoch: 19 [14848/46200]	Loss: 0.5033	LR: 0.020000
Training Epoch: 19 [15104/46200]	Loss: 0.5157	LR: 0.020000
Training Epoch: 19 [15360/46200]	Loss: 0.5616	LR: 0.020000
Training Epoch: 19 [15616/46200]	Loss: 0.5372	LR: 0.020000
Training Epoch: 19 [15872/46200]	Loss: 0.4900	LR: 0.020000
Training Epoch: 19 [16128/46200]	Loss: 0.4110	LR: 0.020000
Training Epoch: 19 [16384/46200]	Loss: 0.4168	LR: 0.020000
Training Epoch: 19 [16640/46200]	Loss: 0.4953	LR: 0.020000
Training Epoch: 19 [16896/46200]	Loss: 0.4907	LR: 0.020000
Training Epoch: 19 [17152/46200]	Loss: 0.6004	LR: 0.020000
Training Epoch: 19 [17408/46200]	Loss: 0.4586	LR: 0.020000
Training Epoch: 19 [17664/46200]	Loss: 0.5293	LR: 0.020000
Training Epoch: 19 [17920/46200]	Loss: 0.5856	LR: 0.020000
Training Epoch: 19 [18176/46200]	Loss: 0.5363	LR: 0.020000
Training Epoch: 19 [18432/46200]	Loss: 0.5358	LR: 0.020000
Training Epoch: 19 [18688/46200]	Loss: 0.4553	LR: 0.020000
Training Epoch: 19 [18944/46200]	Loss: 0.4391	LR: 0.020000
Training Epoch: 19 [19200/46200]	Loss: 0.5106	LR: 0.020000
Training Epoch: 19 [19456/46200]	Loss: 0.4158	LR: 0.020000
Training Epoch: 19 [19712/46200]	Loss: 0.4522	LR: 0.020000
Training Epoch: 19 [19968/46200]	Loss: 0.5276	LR: 0.020000
Training Epoch: 19 [20224/46200]	Loss: 0.4902	LR: 0.020000
Training Epoch: 19 [20480/46200]	Loss: 0.6290	LR: 0.020000
Training Epoch: 19 [20736/46200]	Loss: 0.5015	LR: 0.020000
Training Epoch: 19 [20992/46200]	Loss: 0.4636	LR: 0.020000
Training Epoch: 19 [21248/46200]	Loss: 0.4201	LR: 0.020000
Training Epoch: 19 [21504/46200]	Loss: 0.5664	LR: 0.020000
Training Epoch: 19 [21760/46200]	Loss: 0.4648	LR: 0.020000
Training Epoch: 19 [22016/46200]	Loss: 0.5832	LR: 0.020000
Training Epoch: 19 [22272/46200]	Loss: 0.5308	LR: 0.020000
Training Epoch: 19 [22528/46200]	Loss: 0.4901	LR: 0.020000
Training Epoch: 19 [22784/46200]	Loss: 0.5767	LR: 0.020000
Training Epoch: 19 [23040/46200]	Loss: 0.4550	LR: 0.020000
Training Epoch: 19 [23296/46200]	Loss: 0.4775	LR: 0.020000
Training Epoch: 19 [23552/46200]	Loss: 0.4567	LR: 0.020000
Training Epoch: 19 [23808/46200]	Loss: 0.5248	LR: 0.020000
Training Epoch: 19 [24064/46200]	Loss: 0.4863	LR: 0.020000
Training Epoch: 19 [24320/46200]	Loss: 0.5788	LR: 0.020000
Training Epoch: 19 [24576/46200]	Loss: 0.5033	LR: 0.020000
Training Epoch: 19 [24832/46200]	Loss: 0.4701	LR: 0.020000
Training Epoch: 19 [25088/46200]	Loss: 0.5562	LR: 0.020000
Training Epoch: 19 [25344/46200]	Loss: 0.5676	LR: 0.020000
Training Epoch: 19 [25600/46200]	Loss: 0.5461	LR: 0.020000
Training Epoch: 19 [25856/46200]	Loss: 0.4281	LR: 0.020000
Training Epoch: 19 [26112/46200]	Loss: 0.5187	LR: 0.020000
Training Epoch: 19 [26368/46200]	Loss: 0.5471	LR: 0.020000
Training Epoch: 19 [26624/46200]	Loss: 0.4902	LR: 0.020000
Training Epoch: 19 [26880/46200]	Loss: 0.5734	LR: 0.020000
Training Epoch: 19 [27136/46200]	Loss: 0.4982	LR: 0.020000
Training Epoch: 19 [27392/46200]	Loss: 0.5678	LR: 0.020000
Training Epoch: 19 [27648/46200]	Loss: 0.5169	LR: 0.020000
Training Epoch: 19 [27904/46200]	Loss: 0.5311	LR: 0.020000
Training Epoch: 19 [28160/46200]	Loss: 0.7009	LR: 0.020000
Training Epoch: 19 [28416/46200]	Loss: 0.5344	LR: 0.020000
Training Epoch: 19 [28672/46200]	Loss: 0.5264	LR: 0.020000
Training Epoch: 19 [28928/46200]	Loss: 0.4369	LR: 0.020000
Training Epoch: 19 [29184/46200]	Loss: 0.4207	LR: 0.020000
Training Epoch: 19 [29440/46200]	Loss: 0.5744	LR: 0.020000
Training Epoch: 19 [29696/46200]	Loss: 0.6101	LR: 0.020000
Training Epoch: 19 [29952/46200]	Loss: 0.5278	LR: 0.020000
Training Epoch: 19 [30208/46200]	Loss: 0.4723	LR: 0.020000
Training Epoch: 19 [30464/46200]	Loss: 0.4445	LR: 0.020000
Training Epoch: 19 [30720/46200]	Loss: 0.6026	LR: 0.020000
Training Epoch: 19 [30976/46200]	Loss: 0.5360	LR: 0.020000
Training Epoch: 19 [31232/46200]	Loss: 0.5383	LR: 0.020000
Training Epoch: 19 [31488/46200]	Loss: 0.5461	LR: 0.020000
Training Epoch: 19 [31744/46200]	Loss: 0.5188	LR: 0.020000
Training Epoch: 19 [32000/46200]	Loss: 0.6111	LR: 0.020000
Training Epoch: 19 [32256/46200]	Loss: 0.4380	LR: 0.020000
Training Epoch: 19 [32512/46200]	Loss: 0.5378	LR: 0.020000
Training Epoch: 19 [32768/46200]	Loss: 0.6194	LR: 0.020000
Training Epoch: 19 [33024/46200]	Loss: 0.5125	LR: 0.020000
Training Epoch: 19 [33280/46200]	Loss: 0.5035	LR: 0.020000
Training Epoch: 19 [33536/46200]	Loss: 0.5173	LR: 0.020000
Training Epoch: 19 [33792/46200]	Loss: 0.4534	LR: 0.020000
Training Epoch: 19 [34048/46200]	Loss: 0.5610	LR: 0.020000
Training Epoch: 19 [34304/46200]	Loss: 0.4797	LR: 0.020000
Training Epoch: 19 [34560/46200]	Loss: 0.4987	LR: 0.020000
Training Epoch: 19 [34816/46200]	Loss: 0.5159	LR: 0.020000
Training Epoch: 19 [35072/46200]	Loss: 0.4691	LR: 0.020000
Training Epoch: 19 [35328/46200]	Loss: 0.5349	LR: 0.020000
Training Epoch: 19 [35584/46200]	Loss: 0.4374	LR: 0.020000
Training Epoch: 19 [35840/46200]	Loss: 0.5314	LR: 0.020000
Training Epoch: 19 [36096/46200]	Loss: 0.5565	LR: 0.020000
Training Epoch: 19 [36352/46200]	Loss: 0.5082	LR: 0.020000
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Training Epoch: 19 [46080/46200]	Loss: 0.5325	LR: 0.020000
Training Epoch: 19 [46200/46200]	Loss: 0.6661	LR: 0.020000
Epoch 19 - Average Train Loss: 0.5017, Train Accuracy: 0.8334
Epoch 19 training time consumed: 28.10s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0030, Accuracy: 0.7705, Time consumed:0.89s
Training Epoch: 20 [256/46200]	Loss: 0.4398	LR: 0.020000
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Training Epoch: 20 [46200/46200]	Loss: 0.6069	LR: 0.020000
Epoch 20 - Average Train Loss: 0.4716, Train Accuracy: 0.8430
Epoch 20 training time consumed: 27.71s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0029, Accuracy: 0.7707, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_04h_06m_40s/ResNet18-Cifar20-seed8-ret25-20-best.pth
Training Epoch: 21 [256/46200]	Loss: 0.5234	LR: 0.020000
Training Epoch: 21 [512/46200]	Loss: 0.3651	LR: 0.020000
Training Epoch: 21 [768/46200]	Loss: 0.4648	LR: 0.020000
Training Epoch: 21 [1024/46200]	Loss: 0.4380	LR: 0.020000
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Training Epoch: 21 [1536/46200]	Loss: 0.4275	LR: 0.020000
Training Epoch: 21 [1792/46200]	Loss: 0.4450	LR: 0.020000
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Training Epoch: 21 [15872/46200]	Loss: 0.4179	LR: 0.020000
Training Epoch: 21 [16128/46200]	Loss: 0.4092	LR: 0.020000
Training Epoch: 21 [16384/46200]	Loss: 0.4286	LR: 0.020000
Training Epoch: 21 [16640/46200]	Loss: 0.4699	LR: 0.020000
Training Epoch: 21 [16896/46200]	Loss: 0.4676	LR: 0.020000
Training Epoch: 21 [17152/46200]	Loss: 0.5700	LR: 0.020000
Training Epoch: 21 [17408/46200]	Loss: 0.4548	LR: 0.020000
Training Epoch: 21 [17664/46200]	Loss: 0.4757	LR: 0.020000
Training Epoch: 21 [17920/46200]	Loss: 0.5182	LR: 0.020000
Training Epoch: 21 [18176/46200]	Loss: 0.4443	LR: 0.020000
Training Epoch: 21 [18432/46200]	Loss: 0.4203	LR: 0.020000
Training Epoch: 21 [18688/46200]	Loss: 0.5340	LR: 0.020000
Training Epoch: 21 [18944/46200]	Loss: 0.4745	LR: 0.020000
Training Epoch: 21 [19200/46200]	Loss: 0.4880	LR: 0.020000
Training Epoch: 21 [19456/46200]	Loss: 0.5636	LR: 0.020000
Training Epoch: 21 [19712/46200]	Loss: 0.4228	LR: 0.020000
Training Epoch: 21 [19968/46200]	Loss: 0.4582	LR: 0.020000
Training Epoch: 21 [20224/46200]	Loss: 0.4712	LR: 0.020000
Training Epoch: 21 [20480/46200]	Loss: 0.5119	LR: 0.020000
Training Epoch: 21 [20736/46200]	Loss: 0.5284	LR: 0.020000
Training Epoch: 21 [20992/46200]	Loss: 0.4321	LR: 0.020000
Training Epoch: 21 [21248/46200]	Loss: 0.3974	LR: 0.020000
Training Epoch: 21 [21504/46200]	Loss: 0.4083	LR: 0.020000
Training Epoch: 21 [21760/46200]	Loss: 0.4726	LR: 0.020000
Training Epoch: 21 [22016/46200]	Loss: 0.4856	LR: 0.020000
Training Epoch: 21 [22272/46200]	Loss: 0.4477	LR: 0.020000
Training Epoch: 21 [22528/46200]	Loss: 0.5102	LR: 0.020000
Training Epoch: 21 [22784/46200]	Loss: 0.4193	LR: 0.020000
Training Epoch: 21 [23040/46200]	Loss: 0.4694	LR: 0.020000
Training Epoch: 21 [23296/46200]	Loss: 0.4729	LR: 0.020000
Training Epoch: 21 [23552/46200]	Loss: 0.4289	LR: 0.020000
Training Epoch: 21 [23808/46200]	Loss: 0.4346	LR: 0.020000
Training Epoch: 21 [24064/46200]	Loss: 0.4486	LR: 0.020000
Training Epoch: 21 [24320/46200]	Loss: 0.3565	LR: 0.020000
Training Epoch: 21 [24576/46200]	Loss: 0.4442	LR: 0.020000
Training Epoch: 21 [24832/46200]	Loss: 0.4374	LR: 0.020000
Training Epoch: 21 [25088/46200]	Loss: 0.5607	LR: 0.020000
Training Epoch: 21 [25344/46200]	Loss: 0.5258	LR: 0.020000
Training Epoch: 21 [25600/46200]	Loss: 0.4640	LR: 0.020000
Training Epoch: 21 [25856/46200]	Loss: 0.4223	LR: 0.020000
Training Epoch: 21 [26112/46200]	Loss: 0.4966	LR: 0.020000
Training Epoch: 21 [26368/46200]	Loss: 0.4991	LR: 0.020000
Training Epoch: 21 [26624/46200]	Loss: 0.4229	LR: 0.020000
Training Epoch: 21 [26880/46200]	Loss: 0.3933	LR: 0.020000
Training Epoch: 21 [27136/46200]	Loss: 0.4946	LR: 0.020000
Training Epoch: 21 [27392/46200]	Loss: 0.4281	LR: 0.020000
Training Epoch: 21 [27648/46200]	Loss: 0.5583	LR: 0.020000
Training Epoch: 21 [27904/46200]	Loss: 0.5078	LR: 0.020000
Training Epoch: 21 [28160/46200]	Loss: 0.4322	LR: 0.020000
Training Epoch: 21 [28416/46200]	Loss: 0.5089	LR: 0.020000
Training Epoch: 21 [28672/46200]	Loss: 0.3540	LR: 0.020000
Training Epoch: 21 [28928/46200]	Loss: 0.3911	LR: 0.020000
Training Epoch: 21 [29184/46200]	Loss: 0.5189	LR: 0.020000
Training Epoch: 21 [29440/46200]	Loss: 0.5273	LR: 0.020000
Training Epoch: 21 [29696/46200]	Loss: 0.4846	LR: 0.020000
Training Epoch: 21 [29952/46200]	Loss: 0.3938	LR: 0.020000
Training Epoch: 21 [30208/46200]	Loss: 0.3956	LR: 0.020000
Training Epoch: 21 [30464/46200]	Loss: 0.5107	LR: 0.020000
Training Epoch: 21 [30720/46200]	Loss: 0.4613	LR: 0.020000
Training Epoch: 21 [30976/46200]	Loss: 0.4168	LR: 0.020000
Training Epoch: 21 [31232/46200]	Loss: 0.4453	LR: 0.020000
Training Epoch: 21 [31488/46200]	Loss: 0.4287	LR: 0.020000
Training Epoch: 21 [31744/46200]	Loss: 0.4539	LR: 0.020000
Training Epoch: 21 [32000/46200]	Loss: 0.4170	LR: 0.020000
Training Epoch: 21 [32256/46200]	Loss: 0.4962	LR: 0.020000
Training Epoch: 21 [32512/46200]	Loss: 0.5050	LR: 0.020000
Training Epoch: 21 [32768/46200]	Loss: 0.3916	LR: 0.020000
Training Epoch: 21 [33024/46200]	Loss: 0.4508	LR: 0.020000
Training Epoch: 21 [33280/46200]	Loss: 0.4227	LR: 0.020000
Training Epoch: 21 [33536/46200]	Loss: 0.4694	LR: 0.020000
Training Epoch: 21 [33792/46200]	Loss: 0.3658	LR: 0.020000
Training Epoch: 21 [34048/46200]	Loss: 0.4688	LR: 0.020000
Training Epoch: 21 [34304/46200]	Loss: 0.4626	LR: 0.020000
Training Epoch: 21 [34560/46200]	Loss: 0.4568	LR: 0.020000
Training Epoch: 21 [34816/46200]	Loss: 0.4527	LR: 0.020000
Training Epoch: 21 [35072/46200]	Loss: 0.4214	LR: 0.020000
Training Epoch: 21 [35328/46200]	Loss: 0.4920	LR: 0.020000
Training Epoch: 21 [35584/46200]	Loss: 0.4921	LR: 0.020000
Training Epoch: 21 [35840/46200]	Loss: 0.5056	LR: 0.020000
Training Epoch: 21 [36096/46200]	Loss: 0.5130	LR: 0.020000
Training Epoch: 21 [36352/46200]	Loss: 0.5359	LR: 0.020000
Training Epoch: 21 [36608/46200]	Loss: 0.4861	LR: 0.020000
Training Epoch: 21 [36864/46200]	Loss: 0.4166	LR: 0.020000
Training Epoch: 21 [37120/46200]	Loss: 0.4755	LR: 0.020000
Training Epoch: 21 [37376/46200]	Loss: 0.4672	LR: 0.020000
Training Epoch: 21 [37632/46200]	Loss: 0.5364	LR: 0.020000
Training Epoch: 21 [37888/46200]	Loss: 0.4104	LR: 0.020000
Training Epoch: 21 [38144/46200]	Loss: 0.4386	LR: 0.020000
Training Epoch: 21 [38400/46200]	Loss: 0.4066	LR: 0.020000
Training Epoch: 21 [38656/46200]	Loss: 0.5017	LR: 0.020000
Training Epoch: 21 [38912/46200]	Loss: 0.4769	LR: 0.020000
Training Epoch: 21 [39168/46200]	Loss: 0.4823	LR: 0.020000
Training Epoch: 21 [39424/46200]	Loss: 0.5213	LR: 0.020000
Training Epoch: 21 [39680/46200]	Loss: 0.4578	LR: 0.020000
Training Epoch: 21 [39936/46200]	Loss: 0.4002	LR: 0.020000
Training Epoch: 21 [40192/46200]	Loss: 0.5017	LR: 0.020000
Training Epoch: 21 [40448/46200]	Loss: 0.4588	LR: 0.020000
Training Epoch: 21 [40704/46200]	Loss: 0.5103	LR: 0.020000
Training Epoch: 21 [40960/46200]	Loss: 0.5133	LR: 0.020000
Training Epoch: 21 [41216/46200]	Loss: 0.5141	LR: 0.020000
Training Epoch: 21 [41472/46200]	Loss: 0.5139	LR: 0.020000
Training Epoch: 21 [41728/46200]	Loss: 0.5186	LR: 0.020000
Training Epoch: 21 [41984/46200]	Loss: 0.4551	LR: 0.020000
Training Epoch: 21 [42240/46200]	Loss: 0.4913	LR: 0.020000
Training Epoch: 21 [42496/46200]	Loss: 0.4120	LR: 0.020000
Training Epoch: 21 [42752/46200]	Loss: 0.4528	LR: 0.020000
Training Epoch: 21 [43008/46200]	Loss: 0.4208	LR: 0.020000
Training Epoch: 21 [43264/46200]	Loss: 0.5343	LR: 0.020000
Training Epoch: 21 [43520/46200]	Loss: 0.5069	LR: 0.020000
Training Epoch: 21 [43776/46200]	Loss: 0.4958	LR: 0.020000
Training Epoch: 21 [44032/46200]	Loss: 0.4455	LR: 0.020000
Training Epoch: 21 [44288/46200]	Loss: 0.4612	LR: 0.020000
Training Epoch: 21 [44544/46200]	Loss: 0.5011	LR: 0.020000
Training Epoch: 21 [44800/46200]	Loss: 0.4525	LR: 0.020000
Training Epoch: 21 [45056/46200]	Loss: 0.5107	LR: 0.020000
Training Epoch: 21 [45312/46200]	Loss: 0.5460	LR: 0.020000
Training Epoch: 21 [45568/46200]	Loss: 0.4453	LR: 0.020000
Training Epoch: 21 [45824/46200]	Loss: 0.5175	LR: 0.020000
Training Epoch: 21 [46080/46200]	Loss: 0.4486	LR: 0.020000
Training Epoch: 21 [46200/46200]	Loss: 0.4206	LR: 0.020000
Epoch 21 - Average Train Loss: 0.4587, Train Accuracy: 0.8471
Epoch 21 training time consumed: 27.68s
Evaluating Network.....
Test set: Epoch: 21, Average loss: 0.0030, Accuracy: 0.7653, Time consumed:0.91s
Training Epoch: 22 [256/46200]	Loss: 0.3426	LR: 0.020000
Training Epoch: 22 [512/46200]	Loss: 0.4808	LR: 0.020000
Training Epoch: 22 [768/46200]	Loss: 0.3901	LR: 0.020000
Training Epoch: 22 [1024/46200]	Loss: 0.4221	LR: 0.020000
Training Epoch: 22 [1280/46200]	Loss: 0.4214	LR: 0.020000
Training Epoch: 22 [1536/46200]	Loss: 0.3894	LR: 0.020000
Training Epoch: 22 [1792/46200]	Loss: 0.4086	LR: 0.020000
Training Epoch: 22 [2048/46200]	Loss: 0.5274	LR: 0.020000
Training Epoch: 22 [2304/46200]	Loss: 0.3964	LR: 0.020000
Training Epoch: 22 [2560/46200]	Loss: 0.3697	LR: 0.020000
Training Epoch: 22 [2816/46200]	Loss: 0.4071	LR: 0.020000
Training Epoch: 22 [3072/46200]	Loss: 0.3461	LR: 0.020000
Training Epoch: 22 [3328/46200]	Loss: 0.4253	LR: 0.020000
Training Epoch: 22 [3584/46200]	Loss: 0.4243	LR: 0.020000
Training Epoch: 22 [3840/46200]	Loss: 0.4583	LR: 0.020000
Training Epoch: 22 [4096/46200]	Loss: 0.4266	LR: 0.020000
Training Epoch: 22 [4352/46200]	Loss: 0.4448	LR: 0.020000
Training Epoch: 22 [4608/46200]	Loss: 0.4143	LR: 0.020000
Training Epoch: 22 [4864/46200]	Loss: 0.4573	LR: 0.020000
Training Epoch: 22 [5120/46200]	Loss: 0.3139	LR: 0.020000
Training Epoch: 22 [5376/46200]	Loss: 0.3593	LR: 0.020000
Training Epoch: 22 [5632/46200]	Loss: 0.3980	LR: 0.020000
Training Epoch: 22 [5888/46200]	Loss: 0.3714	LR: 0.020000
Training Epoch: 22 [6144/46200]	Loss: 0.3779	LR: 0.020000
Training Epoch: 22 [6400/46200]	Loss: 0.4384	LR: 0.020000
Training Epoch: 22 [6656/46200]	Loss: 0.3595	LR: 0.020000
Training Epoch: 22 [6912/46200]	Loss: 0.3871	LR: 0.020000
Training Epoch: 22 [7168/46200]	Loss: 0.4107	LR: 0.020000
Training Epoch: 22 [7424/46200]	Loss: 0.4223	LR: 0.020000
Training Epoch: 22 [7680/46200]	Loss: 0.4699	LR: 0.020000
Training Epoch: 22 [7936/46200]	Loss: 0.4165	LR: 0.020000
Training Epoch: 22 [8192/46200]	Loss: 0.4227	LR: 0.020000
Training Epoch: 22 [8448/46200]	Loss: 0.4107	LR: 0.020000
Training Epoch: 22 [8704/46200]	Loss: 0.3919	LR: 0.020000
Training Epoch: 22 [8960/46200]	Loss: 0.4716	LR: 0.020000
Training Epoch: 22 [9216/46200]	Loss: 0.4496	LR: 0.020000
Training Epoch: 22 [9472/46200]	Loss: 0.3745	LR: 0.020000
Training Epoch: 22 [9728/46200]	Loss: 0.3479	LR: 0.020000
Training Epoch: 22 [9984/46200]	Loss: 0.4012	LR: 0.020000
Training Epoch: 22 [10240/46200]	Loss: 0.3914	LR: 0.020000
Training Epoch: 22 [10496/46200]	Loss: 0.4012	LR: 0.020000
Training Epoch: 22 [10752/46200]	Loss: 0.5284	LR: 0.020000
Training Epoch: 22 [11008/46200]	Loss: 0.3813	LR: 0.020000
Training Epoch: 22 [11264/46200]	Loss: 0.4189	LR: 0.020000
Training Epoch: 22 [11520/46200]	Loss: 0.4979	LR: 0.020000
Training Epoch: 22 [11776/46200]	Loss: 0.4095	LR: 0.020000
Training Epoch: 22 [12032/46200]	Loss: 0.3826	LR: 0.020000
Training Epoch: 22 [12288/46200]	Loss: 0.4359	LR: 0.020000
Training Epoch: 22 [12544/46200]	Loss: 0.4918	LR: 0.020000
Training Epoch: 22 [12800/46200]	Loss: 0.3951	LR: 0.020000
Training Epoch: 22 [13056/46200]	Loss: 0.3883	LR: 0.020000
Training Epoch: 22 [13312/46200]	Loss: 0.3976	LR: 0.020000
Training Epoch: 22 [13568/46200]	Loss: 0.5050	LR: 0.020000
Training Epoch: 22 [13824/46200]	Loss: 0.3807	LR: 0.020000
Training Epoch: 22 [14080/46200]	Loss: 0.4423	LR: 0.020000
Training Epoch: 22 [14336/46200]	Loss: 0.4756	LR: 0.020000
Training Epoch: 22 [14592/46200]	Loss: 0.2904	LR: 0.020000
Training Epoch: 22 [14848/46200]	Loss: 0.4938	LR: 0.020000
Training Epoch: 22 [15104/46200]	Loss: 0.3358	LR: 0.020000
Training Epoch: 22 [15360/46200]	Loss: 0.3749	LR: 0.020000
Training Epoch: 22 [15616/46200]	Loss: 0.3671	LR: 0.020000
Training Epoch: 22 [15872/46200]	Loss: 0.3800	LR: 0.020000
Training Epoch: 22 [16128/46200]	Loss: 0.4000	LR: 0.020000
Training Epoch: 22 [16384/46200]	Loss: 0.3693	LR: 0.020000
Training Epoch: 22 [16640/46200]	Loss: 0.4543	LR: 0.020000
Training Epoch: 22 [16896/46200]	Loss: 0.3949	LR: 0.020000
Training Epoch: 22 [17152/46200]	Loss: 0.4357	LR: 0.020000
Training Epoch: 22 [17408/46200]	Loss: 0.3338	LR: 0.020000
Training Epoch: 22 [17664/46200]	Loss: 0.3518	LR: 0.020000
Training Epoch: 22 [17920/46200]	Loss: 0.3095	LR: 0.020000
Training Epoch: 22 [18176/46200]	Loss: 0.4567	LR: 0.020000
Training Epoch: 22 [18432/46200]	Loss: 0.3650	LR: 0.020000
Training Epoch: 22 [18688/46200]	Loss: 0.4868	LR: 0.020000
Training Epoch: 22 [18944/46200]	Loss: 0.4771	LR: 0.020000
Training Epoch: 22 [19200/46200]	Loss: 0.4729	LR: 0.020000
Training Epoch: 22 [19456/46200]	Loss: 0.4459	LR: 0.020000
Training Epoch: 22 [19712/46200]	Loss: 0.4414	LR: 0.020000
Training Epoch: 22 [19968/46200]	Loss: 0.5240	LR: 0.020000
Training Epoch: 22 [20224/46200]	Loss: 0.3707	LR: 0.020000
Training Epoch: 22 [20480/46200]	Loss: 0.4334	LR: 0.020000
Training Epoch: 22 [20736/46200]	Loss: 0.4677	LR: 0.020000
Training Epoch: 22 [20992/46200]	Loss: 0.4373	LR: 0.020000
Training Epoch: 22 [21248/46200]	Loss: 0.4377	LR: 0.020000
Training Epoch: 22 [21504/46200]	Loss: 0.4139	LR: 0.020000
Training Epoch: 22 [21760/46200]	Loss: 0.3618	LR: 0.020000
Training Epoch: 22 [22016/46200]	Loss: 0.4067	LR: 0.020000
Training Epoch: 22 [22272/46200]	Loss: 0.3987	LR: 0.020000
Training Epoch: 22 [22528/46200]	Loss: 0.4244	LR: 0.020000
Training Epoch: 22 [22784/46200]	Loss: 0.4152	LR: 0.020000
Training Epoch: 22 [23040/46200]	Loss: 0.5296	LR: 0.020000
Training Epoch: 22 [23296/46200]	Loss: 0.4444	LR: 0.020000
Training Epoch: 22 [23552/46200]	Loss: 0.5052	LR: 0.020000
Training Epoch: 22 [23808/46200]	Loss: 0.4008	LR: 0.020000
Training Epoch: 22 [24064/46200]	Loss: 0.4219	LR: 0.020000
Training Epoch: 22 [24320/46200]	Loss: 0.4593	LR: 0.020000
Training Epoch: 22 [24576/46200]	Loss: 0.4156	LR: 0.020000
Training Epoch: 22 [24832/46200]	Loss: 0.5123	LR: 0.020000
Training Epoch: 22 [25088/46200]	Loss: 0.4080	LR: 0.020000
Training Epoch: 22 [25344/46200]	Loss: 0.4078	LR: 0.020000
Training Epoch: 22 [25600/46200]	Loss: 0.4504	LR: 0.020000
Training Epoch: 22 [25856/46200]	Loss: 0.4396	LR: 0.020000
Training Epoch: 22 [26112/46200]	Loss: 0.4686	LR: 0.020000
Training Epoch: 22 [26368/46200]	Loss: 0.4620	LR: 0.020000
Training Epoch: 22 [26624/46200]	Loss: 0.4693	LR: 0.020000
Training Epoch: 22 [26880/46200]	Loss: 0.4241	LR: 0.020000
Training Epoch: 22 [27136/46200]	Loss: 0.4823	LR: 0.020000
Training Epoch: 22 [27392/46200]	Loss: 0.4507	LR: 0.020000
Training Epoch: 22 [27648/46200]	Loss: 0.4209	LR: 0.020000
Training Epoch: 22 [27904/46200]	Loss: 0.3544	LR: 0.020000
Training Epoch: 22 [28160/46200]	Loss: 0.5168	LR: 0.020000
Training Epoch: 22 [28416/46200]	Loss: 0.4026	LR: 0.020000
Training Epoch: 22 [28672/46200]	Loss: 0.4633	LR: 0.020000
Training Epoch: 22 [28928/46200]	Loss: 0.5867	LR: 0.020000
Training Epoch: 22 [29184/46200]	Loss: 0.5325	LR: 0.020000
Training Epoch: 22 [29440/46200]	Loss: 0.4574	LR: 0.020000
Training Epoch: 22 [29696/46200]	Loss: 0.4764	LR: 0.020000
Training Epoch: 22 [29952/46200]	Loss: 0.5022	LR: 0.020000
Training Epoch: 22 [30208/46200]	Loss: 0.4058	LR: 0.020000
Training Epoch: 22 [30464/46200]	Loss: 0.4108	LR: 0.020000
Training Epoch: 22 [30720/46200]	Loss: 0.4209	LR: 0.020000
Training Epoch: 22 [30976/46200]	Loss: 0.5909	LR: 0.020000
Training Epoch: 22 [31232/46200]	Loss: 0.4522	LR: 0.020000
Training Epoch: 22 [31488/46200]	Loss: 0.3644	LR: 0.020000
Training Epoch: 22 [31744/46200]	Loss: 0.4923	LR: 0.020000
Training Epoch: 22 [32000/46200]	Loss: 0.4629	LR: 0.020000
Training Epoch: 22 [32256/46200]	Loss: 0.5176	LR: 0.020000
Training Epoch: 22 [32512/46200]	Loss: 0.4936	LR: 0.020000
Training Epoch: 22 [32768/46200]	Loss: 0.4169	LR: 0.020000
Training Epoch: 22 [33024/46200]	Loss: 0.5230	LR: 0.020000
Training Epoch: 22 [33280/46200]	Loss: 0.4220	LR: 0.020000
Training Epoch: 22 [33536/46200]	Loss: 0.3332	LR: 0.020000
Training Epoch: 22 [33792/46200]	Loss: 0.3798	LR: 0.020000
Training Epoch: 22 [34048/46200]	Loss: 0.4808	LR: 0.020000
Training Epoch: 22 [34304/46200]	Loss: 0.4188	LR: 0.020000
Training Epoch: 22 [34560/46200]	Loss: 0.3872	LR: 0.020000
Training Epoch: 22 [34816/46200]	Loss: 0.3869	LR: 0.020000
Training Epoch: 22 [35072/46200]	Loss: 0.4137	LR: 0.020000
Training Epoch: 22 [35328/46200]	Loss: 0.5062	LR: 0.020000
Training Epoch: 22 [35584/46200]	Loss: 0.4227	LR: 0.020000
Training Epoch: 22 [35840/46200]	Loss: 0.3694	LR: 0.020000
Training Epoch: 22 [36096/46200]	Loss: 0.4315	LR: 0.020000
Training Epoch: 22 [36352/46200]	Loss: 0.5034	LR: 0.020000
Training Epoch: 22 [36608/46200]	Loss: 0.4375	LR: 0.020000
Training Epoch: 22 [36864/46200]	Loss: 0.4858	LR: 0.020000
Training Epoch: 22 [37120/46200]	Loss: 0.3649	LR: 0.020000
Training Epoch: 22 [37376/46200]	Loss: 0.4228	LR: 0.020000
Training Epoch: 22 [37632/46200]	Loss: 0.3527	LR: 0.020000
Training Epoch: 22 [37888/46200]	Loss: 0.5288	LR: 0.020000
Training Epoch: 22 [38144/46200]	Loss: 0.4839	LR: 0.020000
Training Epoch: 22 [38400/46200]	Loss: 0.5009	LR: 0.020000
Training Epoch: 22 [38656/46200]	Loss: 0.3983	LR: 0.020000
Training Epoch: 22 [38912/46200]	Loss: 0.4513	LR: 0.020000
Training Epoch: 22 [39168/46200]	Loss: 0.4189	LR: 0.020000
Training Epoch: 22 [39424/46200]	Loss: 0.3831	LR: 0.020000
Training Epoch: 22 [39680/46200]	Loss: 0.4623	LR: 0.020000
Training Epoch: 22 [39936/46200]	Loss: 0.4292	LR: 0.020000
Training Epoch: 22 [40192/46200]	Loss: 0.3956	LR: 0.020000
Training Epoch: 22 [40448/46200]	Loss: 0.5876	LR: 0.020000
Training Epoch: 22 [40704/46200]	Loss: 0.4365	LR: 0.020000
Training Epoch: 22 [40960/46200]	Loss: 0.4303	LR: 0.020000
Training Epoch: 22 [41216/46200]	Loss: 0.4912	LR: 0.020000
Training Epoch: 22 [41472/46200]	Loss: 0.3865	LR: 0.020000
Training Epoch: 22 [41728/46200]	Loss: 0.4991	LR: 0.020000
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Training Epoch: 22 [42496/46200]	Loss: 0.4037	LR: 0.020000
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Training Epoch: 22 [43264/46200]	Loss: 0.4343	LR: 0.020000
Training Epoch: 22 [43520/46200]	Loss: 0.5345	LR: 0.020000
Training Epoch: 22 [43776/46200]	Loss: 0.4559	LR: 0.020000
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Training Epoch: 22 [44544/46200]	Loss: 0.3896	LR: 0.020000
Training Epoch: 22 [44800/46200]	Loss: 0.4337	LR: 0.020000
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Training Epoch: 22 [46080/46200]	Loss: 0.4588	LR: 0.020000
Training Epoch: 22 [46200/46200]	Loss: 0.6533	LR: 0.020000
Epoch 22 - Average Train Loss: 0.4340, Train Accuracy: 0.8560
Epoch 22 training time consumed: 27.73s
Evaluating Network.....
Test set: Epoch: 22, Average loss: 0.0030, Accuracy: 0.7727, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_04h_06m_40s/ResNet18-Cifar20-seed8-ret25-22-best.pth
Training Epoch: 23 [256/46200]	Loss: 0.3514	LR: 0.020000
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Training Epoch: 23 [46080/46200]	Loss: 0.4174	LR: 0.020000
Training Epoch: 23 [46200/46200]	Loss: 0.5800	LR: 0.020000
Epoch 23 - Average Train Loss: 0.4202, Train Accuracy: 0.8605
Epoch 23 training time consumed: 27.80s
Evaluating Network.....
Test set: Epoch: 23, Average loss: 0.0030, Accuracy: 0.7738, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_04h_06m_40s/ResNet18-Cifar20-seed8-ret25-23-best.pth
Training Epoch: 24 [256/46200]	Loss: 0.3550	LR: 0.020000
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Training Epoch: 24 [1536/46200]	Loss: 0.3903	LR: 0.020000
Training Epoch: 24 [1792/46200]	Loss: 0.4408	LR: 0.020000
Training Epoch: 24 [2048/46200]	Loss: 0.3403	LR: 0.020000
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Training Epoch: 24 [22528/46200]	Loss: 0.4110	LR: 0.020000
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Training Epoch: 24 [23040/46200]	Loss: 0.4187	LR: 0.020000
Training Epoch: 24 [23296/46200]	Loss: 0.3962	LR: 0.020000
Training Epoch: 24 [23552/46200]	Loss: 0.3169	LR: 0.020000
Training Epoch: 24 [23808/46200]	Loss: 0.3814	LR: 0.020000
Training Epoch: 24 [24064/46200]	Loss: 0.4001	LR: 0.020000
Training Epoch: 24 [24320/46200]	Loss: 0.3075	LR: 0.020000
Training Epoch: 24 [24576/46200]	Loss: 0.4480	LR: 0.020000
Training Epoch: 24 [24832/46200]	Loss: 0.3820	LR: 0.020000
Training Epoch: 24 [25088/46200]	Loss: 0.3116	LR: 0.020000
Training Epoch: 24 [25344/46200]	Loss: 0.4963	LR: 0.020000
Training Epoch: 24 [25600/46200]	Loss: 0.4230	LR: 0.020000
Training Epoch: 24 [25856/46200]	Loss: 0.4744	LR: 0.020000
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Training Epoch: 24 [26368/46200]	Loss: 0.4144	LR: 0.020000
Training Epoch: 24 [26624/46200]	Loss: 0.3800	LR: 0.020000
Training Epoch: 24 [26880/46200]	Loss: 0.4288	LR: 0.020000
Training Epoch: 24 [27136/46200]	Loss: 0.5052	LR: 0.020000
Training Epoch: 24 [27392/46200]	Loss: 0.4307	LR: 0.020000
Training Epoch: 24 [27648/46200]	Loss: 0.3844	LR: 0.020000
Training Epoch: 24 [27904/46200]	Loss: 0.4652	LR: 0.020000
Training Epoch: 24 [28160/46200]	Loss: 0.3753	LR: 0.020000
Training Epoch: 24 [28416/46200]	Loss: 0.4324	LR: 0.020000
Training Epoch: 24 [28672/46200]	Loss: 0.4571	LR: 0.020000
Training Epoch: 24 [28928/46200]	Loss: 0.3393	LR: 0.020000
Training Epoch: 24 [29184/46200]	Loss: 0.4352	LR: 0.020000
Training Epoch: 24 [29440/46200]	Loss: 0.3794	LR: 0.020000
Training Epoch: 24 [29696/46200]	Loss: 0.5221	LR: 0.020000
Training Epoch: 24 [29952/46200]	Loss: 0.3587	LR: 0.020000
Training Epoch: 24 [30208/46200]	Loss: 0.4267	LR: 0.020000
Training Epoch: 24 [30464/46200]	Loss: 0.4878	LR: 0.020000
Training Epoch: 24 [30720/46200]	Loss: 0.4139	LR: 0.020000
Training Epoch: 24 [30976/46200]	Loss: 0.3161	LR: 0.020000
Training Epoch: 24 [31232/46200]	Loss: 0.4936	LR: 0.020000
Training Epoch: 24 [31488/46200]	Loss: 0.3670	LR: 0.020000
Training Epoch: 24 [31744/46200]	Loss: 0.3818	LR: 0.020000
Training Epoch: 24 [32000/46200]	Loss: 0.4558	LR: 0.020000
Training Epoch: 24 [32256/46200]	Loss: 0.4414	LR: 0.020000
Training Epoch: 24 [32512/46200]	Loss: 0.2939	LR: 0.020000
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Training Epoch: 24 [34816/46200]	Loss: 0.3787	LR: 0.020000
Training Epoch: 24 [35072/46200]	Loss: 0.3799	LR: 0.020000
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Training Epoch: 24 [35840/46200]	Loss: 0.5250	LR: 0.020000
Training Epoch: 24 [36096/46200]	Loss: 0.4096	LR: 0.020000
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Training Epoch: 24 [37376/46200]	Loss: 0.3654	LR: 0.020000
Training Epoch: 24 [37632/46200]	Loss: 0.4485	LR: 0.020000
Training Epoch: 24 [37888/46200]	Loss: 0.4540	LR: 0.020000
Training Epoch: 24 [38144/46200]	Loss: 0.3548	LR: 0.020000
Training Epoch: 24 [38400/46200]	Loss: 0.5024	LR: 0.020000
Training Epoch: 24 [38656/46200]	Loss: 0.3880	LR: 0.020000
Training Epoch: 24 [38912/46200]	Loss: 0.4421	LR: 0.020000
Training Epoch: 24 [39168/46200]	Loss: 0.4130	LR: 0.020000
Training Epoch: 24 [39424/46200]	Loss: 0.3909	LR: 0.020000
Training Epoch: 24 [39680/46200]	Loss: 0.4212	LR: 0.020000
Training Epoch: 24 [39936/46200]	Loss: 0.4333	LR: 0.020000
Training Epoch: 24 [40192/46200]	Loss: 0.3843	LR: 0.020000
Training Epoch: 24 [40448/46200]	Loss: 0.3387	LR: 0.020000
Training Epoch: 24 [40704/46200]	Loss: 0.3690	LR: 0.020000
Training Epoch: 24 [40960/46200]	Loss: 0.4384	LR: 0.020000
Training Epoch: 24 [41216/46200]	Loss: 0.4204	LR: 0.020000
Training Epoch: 24 [41472/46200]	Loss: 0.4996	LR: 0.020000
Training Epoch: 24 [41728/46200]	Loss: 0.4915	LR: 0.020000
Training Epoch: 24 [41984/46200]	Loss: 0.4765	LR: 0.020000
Training Epoch: 24 [42240/46200]	Loss: 0.3302	LR: 0.020000
Training Epoch: 24 [42496/46200]	Loss: 0.4263	LR: 0.020000
Training Epoch: 24 [42752/46200]	Loss: 0.3696	LR: 0.020000
Training Epoch: 24 [43008/46200]	Loss: 0.4746	LR: 0.020000
Training Epoch: 24 [43264/46200]	Loss: 0.4961	LR: 0.020000
Training Epoch: 24 [43520/46200]	Loss: 0.3757	LR: 0.020000
Training Epoch: 24 [43776/46200]	Loss: 0.5057	LR: 0.020000
Training Epoch: 24 [44032/46200]	Loss: 0.4114	LR: 0.020000
Training Epoch: 24 [44288/46200]	Loss: 0.4295	LR: 0.020000
Training Epoch: 24 [44544/46200]	Loss: 0.4520	LR: 0.020000
Training Epoch: 24 [44800/46200]	Loss: 0.3404	LR: 0.020000
Training Epoch: 24 [45056/46200]	Loss: 0.4210	LR: 0.020000
Training Epoch: 24 [45312/46200]	Loss: 0.5001	LR: 0.020000
Training Epoch: 24 [45568/46200]	Loss: 0.4497	LR: 0.020000
Training Epoch: 24 [45824/46200]	Loss: 0.4176	LR: 0.020000
Training Epoch: 24 [46080/46200]	Loss: 0.4973	LR: 0.020000
Training Epoch: 24 [46200/46200]	Loss: 0.4144	LR: 0.020000
Epoch 24 - Average Train Loss: 0.4057, Train Accuracy: 0.8646
Epoch 24 training time consumed: 27.74s
Evaluating Network.....
Test set: Epoch: 24, Average loss: 0.0031, Accuracy: 0.7726, Time consumed:0.89s
Training Epoch: 25 [256/46200]	Loss: 0.3301	LR: 0.020000
Training Epoch: 25 [512/46200]	Loss: 0.3926	LR: 0.020000
Training Epoch: 25 [768/46200]	Loss: 0.3783	LR: 0.020000
Training Epoch: 25 [1024/46200]	Loss: 0.4871	LR: 0.020000
Training Epoch: 25 [1280/46200]	Loss: 0.4091	LR: 0.020000
Training Epoch: 25 [1536/46200]	Loss: 0.4040	LR: 0.020000
Training Epoch: 25 [1792/46200]	Loss: 0.4308	LR: 0.020000
Training Epoch: 25 [2048/46200]	Loss: 0.4561	LR: 0.020000
Training Epoch: 25 [2304/46200]	Loss: 0.3923	LR: 0.020000
Training Epoch: 25 [2560/46200]	Loss: 0.5176	LR: 0.020000
Training Epoch: 25 [2816/46200]	Loss: 0.3378	LR: 0.020000
Training Epoch: 25 [3072/46200]	Loss: 0.3210	LR: 0.020000
Training Epoch: 25 [3328/46200]	Loss: 0.3172	LR: 0.020000
Training Epoch: 25 [3584/46200]	Loss: 0.3582	LR: 0.020000
Training Epoch: 25 [3840/46200]	Loss: 0.3691	LR: 0.020000
Training Epoch: 25 [4096/46200]	Loss: 0.3241	LR: 0.020000
Training Epoch: 25 [4352/46200]	Loss: 0.4262	LR: 0.020000
Training Epoch: 25 [4608/46200]	Loss: 0.3254	LR: 0.020000
Training Epoch: 25 [4864/46200]	Loss: 0.4091	LR: 0.020000
Training Epoch: 25 [5120/46200]	Loss: 0.3870	LR: 0.020000
Training Epoch: 25 [5376/46200]	Loss: 0.4059	LR: 0.020000
Training Epoch: 25 [5632/46200]	Loss: 0.3559	LR: 0.020000
Training Epoch: 25 [5888/46200]	Loss: 0.3934	LR: 0.020000
Training Epoch: 25 [6144/46200]	Loss: 0.4125	LR: 0.020000
Training Epoch: 25 [6400/46200]	Loss: 0.3667	LR: 0.020000
Training Epoch: 25 [6656/46200]	Loss: 0.3424	LR: 0.020000
Training Epoch: 25 [6912/46200]	Loss: 0.3525	LR: 0.020000
Training Epoch: 25 [7168/46200]	Loss: 0.3099	LR: 0.020000
Training Epoch: 25 [7424/46200]	Loss: 0.3896	LR: 0.020000
Training Epoch: 25 [7680/46200]	Loss: 0.3846	LR: 0.020000
Training Epoch: 25 [7936/46200]	Loss: 0.3262	LR: 0.020000
Training Epoch: 25 [8192/46200]	Loss: 0.4160	LR: 0.020000
Training Epoch: 25 [8448/46200]	Loss: 0.4420	LR: 0.020000
Training Epoch: 25 [8704/46200]	Loss: 0.4374	LR: 0.020000
Training Epoch: 25 [8960/46200]	Loss: 0.3949	LR: 0.020000
Training Epoch: 25 [9216/46200]	Loss: 0.3968	LR: 0.020000
Training Epoch: 25 [9472/46200]	Loss: 0.3564	LR: 0.020000
Training Epoch: 25 [9728/46200]	Loss: 0.3726	LR: 0.020000
Training Epoch: 25 [9984/46200]	Loss: 0.4052	LR: 0.020000
Training Epoch: 25 [10240/46200]	Loss: 0.3824	LR: 0.020000
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Training Epoch: 25 [10752/46200]	Loss: 0.4109	LR: 0.020000
Training Epoch: 25 [11008/46200]	Loss: 0.4106	LR: 0.020000
Training Epoch: 25 [11264/46200]	Loss: 0.3277	LR: 0.020000
Training Epoch: 25 [11520/46200]	Loss: 0.3796	LR: 0.020000
Training Epoch: 25 [11776/46200]	Loss: 0.3634	LR: 0.020000
Training Epoch: 25 [12032/46200]	Loss: 0.4169	LR: 0.020000
Training Epoch: 25 [12288/46200]	Loss: 0.3107	LR: 0.020000
Training Epoch: 25 [12544/46200]	Loss: 0.4424	LR: 0.020000
Training Epoch: 25 [12800/46200]	Loss: 0.3969	LR: 0.020000
Training Epoch: 25 [13056/46200]	Loss: 0.3089	LR: 0.020000
Training Epoch: 25 [13312/46200]	Loss: 0.4216	LR: 0.020000
Training Epoch: 25 [13568/46200]	Loss: 0.3292	LR: 0.020000
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Training Epoch: 25 [16896/46200]	Loss: 0.3404	LR: 0.020000
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Training Epoch: 25 [19200/46200]	Loss: 0.4407	LR: 0.020000
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Training Epoch: 25 [22528/46200]	Loss: 0.4459	LR: 0.020000
Training Epoch: 25 [22784/46200]	Loss: 0.3614	LR: 0.020000
Training Epoch: 25 [23040/46200]	Loss: 0.3327	LR: 0.020000
Training Epoch: 25 [23296/46200]	Loss: 0.3614	LR: 0.020000
Training Epoch: 25 [23552/46200]	Loss: 0.3781	LR: 0.020000
Training Epoch: 25 [23808/46200]	Loss: 0.4534	LR: 0.020000
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Training Epoch: 25 [24576/46200]	Loss: 0.4435	LR: 0.020000
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Training Epoch: 25 [26368/46200]	Loss: 0.4212	LR: 0.020000
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Training Epoch: 25 [27136/46200]	Loss: 0.3887	LR: 0.020000
Training Epoch: 25 [27392/46200]	Loss: 0.4248	LR: 0.020000
Training Epoch: 25 [27648/46200]	Loss: 0.4038	LR: 0.020000
Training Epoch: 25 [27904/46200]	Loss: 0.4724	LR: 0.020000
Training Epoch: 25 [28160/46200]	Loss: 0.3674	LR: 0.020000
Training Epoch: 25 [28416/46200]	Loss: 0.4827	LR: 0.020000
Training Epoch: 25 [28672/46200]	Loss: 0.3637	LR: 0.020000
Training Epoch: 25 [28928/46200]	Loss: 0.3823	LR: 0.020000
Training Epoch: 25 [29184/46200]	Loss: 0.3325	LR: 0.020000
Training Epoch: 25 [29440/46200]	Loss: 0.3553	LR: 0.020000
Training Epoch: 25 [29696/46200]	Loss: 0.4524	LR: 0.020000
Training Epoch: 25 [29952/46200]	Loss: 0.3787	LR: 0.020000
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Training Epoch: 25 [30976/46200]	Loss: 0.3899	LR: 0.020000
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Training Epoch: 25 [37888/46200]	Loss: 0.4120	LR: 0.020000
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Training Epoch: 25 [40192/46200]	Loss: 0.2966	LR: 0.020000
Training Epoch: 25 [40448/46200]	Loss: 0.4962	LR: 0.020000
Training Epoch: 25 [40704/46200]	Loss: 0.3324	LR: 0.020000
Training Epoch: 25 [40960/46200]	Loss: 0.3912	LR: 0.020000
Training Epoch: 25 [41216/46200]	Loss: 0.4667	LR: 0.020000
Training Epoch: 25 [41472/46200]	Loss: 0.4959	LR: 0.020000
Training Epoch: 25 [41728/46200]	Loss: 0.3520	LR: 0.020000
Training Epoch: 25 [41984/46200]	Loss: 0.3976	LR: 0.020000
Training Epoch: 25 [42240/46200]	Loss: 0.4026	LR: 0.020000
Training Epoch: 25 [42496/46200]	Loss: 0.4614	LR: 0.020000
Training Epoch: 25 [42752/46200]	Loss: 0.4222	LR: 0.020000
Training Epoch: 25 [43008/46200]	Loss: 0.4660	LR: 0.020000
Training Epoch: 25 [43264/46200]	Loss: 0.4298	LR: 0.020000
Training Epoch: 25 [43520/46200]	Loss: 0.5094	LR: 0.020000
Training Epoch: 25 [43776/46200]	Loss: 0.3964	LR: 0.020000
Training Epoch: 25 [44032/46200]	Loss: 0.3912	LR: 0.020000
Training Epoch: 25 [44288/46200]	Loss: 0.3363	LR: 0.020000
Training Epoch: 25 [44544/46200]	Loss: 0.3286	LR: 0.020000
Training Epoch: 25 [44800/46200]	Loss: 0.3478	LR: 0.020000
Training Epoch: 25 [45056/46200]	Loss: 0.4279	LR: 0.020000
Training Epoch: 25 [45312/46200]	Loss: 0.5171	LR: 0.020000
Training Epoch: 25 [45568/46200]	Loss: 0.3643	LR: 0.020000
Training Epoch: 25 [45824/46200]	Loss: 0.4196	LR: 0.020000
Training Epoch: 25 [46080/46200]	Loss: 0.4510	LR: 0.020000
Training Epoch: 25 [46200/46200]	Loss: 0.6818	LR: 0.020000
Epoch 25 - Average Train Loss: 0.3923, Train Accuracy: 0.8690
Epoch 25 training time consumed: 27.80s
Evaluating Network.....
Test set: Epoch: 25, Average loss: 0.0033, Accuracy: 0.7632, Time consumed:0.89s
Training Epoch: 26 [256/46200]	Loss: 0.3058	LR: 0.020000
Training Epoch: 26 [512/46200]	Loss: 0.3425	LR: 0.020000
Training Epoch: 26 [768/46200]	Loss: 0.3347	LR: 0.020000
Training Epoch: 26 [1024/46200]	Loss: 0.2703	LR: 0.020000
Training Epoch: 26 [1280/46200]	Loss: 0.3416	LR: 0.020000
Training Epoch: 26 [1536/46200]	Loss: 0.2906	LR: 0.020000
Training Epoch: 26 [1792/46200]	Loss: 0.3477	LR: 0.020000
Training Epoch: 26 [2048/46200]	Loss: 0.3583	LR: 0.020000
Training Epoch: 26 [2304/46200]	Loss: 0.3733	LR: 0.020000
Training Epoch: 26 [2560/46200]	Loss: 0.4561	LR: 0.020000
Training Epoch: 26 [2816/46200]	Loss: 0.3378	LR: 0.020000
Training Epoch: 26 [3072/46200]	Loss: 0.3974	LR: 0.020000
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Training Epoch: 26 [3584/46200]	Loss: 0.3842	LR: 0.020000
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Training Epoch: 26 [4352/46200]	Loss: 0.4573	LR: 0.020000
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Training Epoch: 26 [5632/46200]	Loss: 0.3873	LR: 0.020000
Training Epoch: 26 [5888/46200]	Loss: 0.3284	LR: 0.020000
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Training Epoch: 26 [6400/46200]	Loss: 0.3628	LR: 0.020000
Training Epoch: 26 [6656/46200]	Loss: 0.3183	LR: 0.020000
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Training Epoch: 26 [7424/46200]	Loss: 0.3700	LR: 0.020000
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Training Epoch: 26 [7936/46200]	Loss: 0.3114	LR: 0.020000
Training Epoch: 26 [8192/46200]	Loss: 0.4352	LR: 0.020000
Training Epoch: 26 [8448/46200]	Loss: 0.2958	LR: 0.020000
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Training Epoch: 26 [8960/46200]	Loss: 0.4118	LR: 0.020000
Training Epoch: 26 [9216/46200]	Loss: 0.3759	LR: 0.020000
Training Epoch: 26 [9472/46200]	Loss: 0.3819	LR: 0.020000
Training Epoch: 26 [9728/46200]	Loss: 0.3658	LR: 0.020000
Training Epoch: 26 [9984/46200]	Loss: 0.3101	LR: 0.020000
Training Epoch: 26 [10240/46200]	Loss: 0.4536	LR: 0.020000
Training Epoch: 26 [10496/46200]	Loss: 0.3932	LR: 0.020000
Training Epoch: 26 [10752/46200]	Loss: 0.3715	LR: 0.020000
Training Epoch: 26 [11008/46200]	Loss: 0.3412	LR: 0.020000
Training Epoch: 26 [11264/46200]	Loss: 0.3098	LR: 0.020000
Training Epoch: 26 [11520/46200]	Loss: 0.3290	LR: 0.020000
Training Epoch: 26 [11776/46200]	Loss: 0.2965	LR: 0.020000
Training Epoch: 26 [12032/46200]	Loss: 0.3752	LR: 0.020000
Training Epoch: 26 [12288/46200]	Loss: 0.3165	LR: 0.020000
Training Epoch: 26 [12544/46200]	Loss: 0.3546	LR: 0.020000
Training Epoch: 26 [12800/46200]	Loss: 0.3451	LR: 0.020000
Training Epoch: 26 [13056/46200]	Loss: 0.4713	LR: 0.020000
Training Epoch: 26 [13312/46200]	Loss: 0.3520	LR: 0.020000
Training Epoch: 26 [13568/46200]	Loss: 0.3097	LR: 0.020000
Training Epoch: 26 [13824/46200]	Loss: 0.2938	LR: 0.020000
Training Epoch: 26 [14080/46200]	Loss: 0.3810	LR: 0.020000
Training Epoch: 26 [14336/46200]	Loss: 0.3554	LR: 0.020000
Training Epoch: 26 [14592/46200]	Loss: 0.3924	LR: 0.020000
Training Epoch: 26 [14848/46200]	Loss: 0.4431	LR: 0.020000
Training Epoch: 26 [15104/46200]	Loss: 0.3740	LR: 0.020000
Training Epoch: 26 [15360/46200]	Loss: 0.3323	LR: 0.020000
Training Epoch: 26 [15616/46200]	Loss: 0.3585	LR: 0.020000
Training Epoch: 26 [15872/46200]	Loss: 0.3679	LR: 0.020000
Training Epoch: 26 [16128/46200]	Loss: 0.2847	LR: 0.020000
Training Epoch: 26 [16384/46200]	Loss: 0.2962	LR: 0.020000
Training Epoch: 26 [16640/46200]	Loss: 0.2988	LR: 0.020000
Training Epoch: 26 [16896/46200]	Loss: 0.3885	LR: 0.020000
Training Epoch: 26 [17152/46200]	Loss: 0.4425	LR: 0.020000
Training Epoch: 26 [17408/46200]	Loss: 0.3666	LR: 0.020000
Training Epoch: 26 [17664/46200]	Loss: 0.3187	LR: 0.020000
Training Epoch: 26 [17920/46200]	Loss: 0.4354	LR: 0.020000
Training Epoch: 26 [18176/46200]	Loss: 0.4143	LR: 0.020000
Training Epoch: 26 [18432/46200]	Loss: 0.3747	LR: 0.020000
Training Epoch: 26 [18688/46200]	Loss: 0.3981	LR: 0.020000
Training Epoch: 26 [18944/46200]	Loss: 0.2993	LR: 0.020000
Training Epoch: 26 [19200/46200]	Loss: 0.3329	LR: 0.020000
Training Epoch: 26 [19456/46200]	Loss: 0.3784	LR: 0.020000
Training Epoch: 26 [19712/46200]	Loss: 0.3565	LR: 0.020000
Training Epoch: 26 [19968/46200]	Loss: 0.4083	LR: 0.020000
Training Epoch: 26 [20224/46200]	Loss: 0.3095	LR: 0.020000
Training Epoch: 26 [20480/46200]	Loss: 0.4349	LR: 0.020000
Training Epoch: 26 [20736/46200]	Loss: 0.3531	LR: 0.020000
Training Epoch: 26 [20992/46200]	Loss: 0.3738	LR: 0.020000
Training Epoch: 26 [21248/46200]	Loss: 0.3641	LR: 0.020000
Training Epoch: 26 [21504/46200]	Loss: 0.3202	LR: 0.020000
Training Epoch: 26 [21760/46200]	Loss: 0.4222	LR: 0.020000
Training Epoch: 26 [22016/46200]	Loss: 0.4868	LR: 0.020000
Training Epoch: 26 [22272/46200]	Loss: 0.4150	LR: 0.020000
Training Epoch: 26 [22528/46200]	Loss: 0.3337	LR: 0.020000
Training Epoch: 26 [22784/46200]	Loss: 0.3681	LR: 0.020000
Training Epoch: 26 [23040/46200]	Loss: 0.3097	LR: 0.020000
Training Epoch: 26 [23296/46200]	Loss: 0.4570	LR: 0.020000
Training Epoch: 26 [23552/46200]	Loss: 0.3905	LR: 0.020000
Training Epoch: 26 [23808/46200]	Loss: 0.4038	LR: 0.020000
Training Epoch: 26 [24064/46200]	Loss: 0.4194	LR: 0.020000
Training Epoch: 26 [24320/46200]	Loss: 0.4442	LR: 0.020000
Training Epoch: 26 [24576/46200]	Loss: 0.3003	LR: 0.020000
Training Epoch: 26 [24832/46200]	Loss: 0.3046	LR: 0.020000
Training Epoch: 26 [25088/46200]	Loss: 0.4549	LR: 0.020000
Training Epoch: 26 [25344/46200]	Loss: 0.3887	LR: 0.020000
Training Epoch: 26 [25600/46200]	Loss: 0.4170	LR: 0.020000
Training Epoch: 26 [25856/46200]	Loss: 0.3428	LR: 0.020000
Training Epoch: 26 [26112/46200]	Loss: 0.5072	LR: 0.020000
Training Epoch: 26 [26368/46200]	Loss: 0.3737	LR: 0.020000
Training Epoch: 26 [26624/46200]	Loss: 0.3661	LR: 0.020000
Training Epoch: 26 [26880/46200]	Loss: 0.3144	LR: 0.020000
Training Epoch: 26 [27136/46200]	Loss: 0.4252	LR: 0.020000
Training Epoch: 26 [27392/46200]	Loss: 0.2823	LR: 0.020000
Training Epoch: 26 [27648/46200]	Loss: 0.4178	LR: 0.020000
Training Epoch: 26 [27904/46200]	Loss: 0.4123	LR: 0.020000
Training Epoch: 26 [28160/46200]	Loss: 0.4257	LR: 0.020000
Training Epoch: 26 [28416/46200]	Loss: 0.4227	LR: 0.020000
Training Epoch: 26 [28672/46200]	Loss: 0.3955	LR: 0.020000
Training Epoch: 26 [28928/46200]	Loss: 0.3907	LR: 0.020000
Training Epoch: 26 [29184/46200]	Loss: 0.4833	LR: 0.020000
Training Epoch: 26 [29440/46200]	Loss: 0.3431	LR: 0.020000
Training Epoch: 26 [29696/46200]	Loss: 0.3874	LR: 0.020000
Training Epoch: 26 [29952/46200]	Loss: 0.4618	LR: 0.020000
Training Epoch: 26 [30208/46200]	Loss: 0.4496	LR: 0.020000
Training Epoch: 26 [30464/46200]	Loss: 0.3817	LR: 0.020000
Training Epoch: 26 [30720/46200]	Loss: 0.3776	LR: 0.020000
Training Epoch: 26 [30976/46200]	Loss: 0.3606	LR: 0.020000
Training Epoch: 26 [31232/46200]	Loss: 0.3972	LR: 0.020000
Training Epoch: 26 [31488/46200]	Loss: 0.3417	LR: 0.020000
Training Epoch: 26 [31744/46200]	Loss: 0.4011	LR: 0.020000
Training Epoch: 26 [32000/46200]	Loss: 0.3286	LR: 0.020000
Training Epoch: 26 [32256/46200]	Loss: 0.4127	LR: 0.020000
Training Epoch: 26 [32512/46200]	Loss: 0.4349	LR: 0.020000
Training Epoch: 26 [32768/46200]	Loss: 0.4331	LR: 0.020000
Training Epoch: 26 [33024/46200]	Loss: 0.3908	LR: 0.020000
Training Epoch: 26 [33280/46200]	Loss: 0.4338	LR: 0.020000
Training Epoch: 26 [33536/46200]	Loss: 0.3562	LR: 0.020000
Training Epoch: 26 [33792/46200]	Loss: 0.4447	LR: 0.020000
Training Epoch: 26 [34048/46200]	Loss: 0.5143	LR: 0.020000
Training Epoch: 26 [34304/46200]	Loss: 0.3521	LR: 0.020000
Training Epoch: 26 [34560/46200]	Loss: 0.4329	LR: 0.020000
Training Epoch: 26 [34816/46200]	Loss: 0.4072	LR: 0.020000
Training Epoch: 26 [35072/46200]	Loss: 0.3899	LR: 0.020000
Training Epoch: 26 [35328/46200]	Loss: 0.3415	LR: 0.020000
Training Epoch: 26 [35584/46200]	Loss: 0.3566	LR: 0.020000
Training Epoch: 26 [35840/46200]	Loss: 0.4436	LR: 0.020000
Training Epoch: 26 [36096/46200]	Loss: 0.5488	LR: 0.020000
Training Epoch: 26 [36352/46200]	Loss: 0.3434	LR: 0.020000
Training Epoch: 26 [36608/46200]	Loss: 0.3678	LR: 0.020000
Training Epoch: 26 [36864/46200]	Loss: 0.3929	LR: 0.020000
Training Epoch: 26 [37120/46200]	Loss: 0.4247	LR: 0.020000
Training Epoch: 26 [37376/46200]	Loss: 0.4501	LR: 0.020000
Training Epoch: 26 [37632/46200]	Loss: 0.3698	LR: 0.020000
Training Epoch: 26 [37888/46200]	Loss: 0.4377	LR: 0.020000
Training Epoch: 26 [38144/46200]	Loss: 0.4289	LR: 0.020000
Training Epoch: 26 [38400/46200]	Loss: 0.5157	LR: 0.020000
Training Epoch: 26 [38656/46200]	Loss: 0.3695	LR: 0.020000
Training Epoch: 26 [38912/46200]	Loss: 0.4107	LR: 0.020000
Training Epoch: 26 [39168/46200]	Loss: 0.3526	LR: 0.020000
Training Epoch: 26 [39424/46200]	Loss: 0.3673	LR: 0.020000
Training Epoch: 26 [39680/46200]	Loss: 0.3930	LR: 0.020000
Training Epoch: 26 [39936/46200]	Loss: 0.3873	LR: 0.020000
Training Epoch: 26 [40192/46200]	Loss: 0.2868	LR: 0.020000
Training Epoch: 26 [40448/46200]	Loss: 0.2783	LR: 0.020000
Training Epoch: 26 [40704/46200]	Loss: 0.5287	LR: 0.020000
Training Epoch: 26 [40960/46200]	Loss: 0.3399	LR: 0.020000
Training Epoch: 26 [41216/46200]	Loss: 0.3405	LR: 0.020000
Training Epoch: 26 [41472/46200]	Loss: 0.4242	LR: 0.020000
Training Epoch: 26 [41728/46200]	Loss: 0.3804	LR: 0.020000
Training Epoch: 26 [41984/46200]	Loss: 0.4004	LR: 0.020000
Training Epoch: 26 [42240/46200]	Loss: 0.4342	LR: 0.020000
Training Epoch: 26 [42496/46200]	Loss: 0.4822	LR: 0.020000
Training Epoch: 26 [42752/46200]	Loss: 0.4066	LR: 0.020000
Training Epoch: 26 [43008/46200]	Loss: 0.3401	LR: 0.020000
Training Epoch: 26 [43264/46200]	Loss: 0.3330	LR: 0.020000
Training Epoch: 26 [43520/46200]	Loss: 0.3838	LR: 0.020000
Training Epoch: 26 [43776/46200]	Loss: 0.3005	LR: 0.020000
Training Epoch: 26 [44032/46200]	Loss: 0.3985	LR: 0.020000
Training Epoch: 26 [44288/46200]	Loss: 0.3685	LR: 0.020000
Training Epoch: 26 [44544/46200]	Loss: 0.4021	LR: 0.020000
Training Epoch: 26 [44800/46200]	Loss: 0.3693	LR: 0.020000
Training Epoch: 26 [45056/46200]	Loss: 0.4005	LR: 0.020000
Training Epoch: 26 [45312/46200]	Loss: 0.3396	LR: 0.020000
Training Epoch: 26 [45568/46200]	Loss: 0.3336	LR: 0.020000
Training Epoch: 26 [45824/46200]	Loss: 0.4942	LR: 0.020000
Training Epoch: 26 [46080/46200]	Loss: 0.4164	LR: 0.020000
Training Epoch: 26 [46200/46200]	Loss: 0.2557	LR: 0.020000
Epoch 26 - Average Train Loss: 0.3771, Train Accuracy: 0.8750
Epoch 26 training time consumed: 27.64s
Evaluating Network.....
Test set: Epoch: 26, Average loss: 0.0032, Accuracy: 0.7690, Time consumed:0.95s
Training Epoch: 27 [256/46200]	Loss: 0.3663	LR: 0.020000
Training Epoch: 27 [512/46200]	Loss: 0.3381	LR: 0.020000
Training Epoch: 27 [768/46200]	Loss: 0.4057	LR: 0.020000
Training Epoch: 27 [1024/46200]	Loss: 0.3280	LR: 0.020000
Training Epoch: 27 [1280/46200]	Loss: 0.3793	LR: 0.020000
Training Epoch: 27 [1536/46200]	Loss: 0.4051	LR: 0.020000
Training Epoch: 27 [1792/46200]	Loss: 0.3572	LR: 0.020000
Training Epoch: 27 [2048/46200]	Loss: 0.3276	LR: 0.020000
Training Epoch: 27 [2304/46200]	Loss: 0.4206	LR: 0.020000
Training Epoch: 27 [2560/46200]	Loss: 0.3061	LR: 0.020000
Training Epoch: 27 [2816/46200]	Loss: 0.3057	LR: 0.020000
Training Epoch: 27 [3072/46200]	Loss: 0.3510	LR: 0.020000
Training Epoch: 27 [3328/46200]	Loss: 0.3118	LR: 0.020000
Training Epoch: 27 [3584/46200]	Loss: 0.4021	LR: 0.020000
Training Epoch: 27 [3840/46200]	Loss: 0.3350	LR: 0.020000
Training Epoch: 27 [4096/46200]	Loss: 0.3761	LR: 0.020000
Training Epoch: 27 [4352/46200]	Loss: 0.3320	LR: 0.020000
Training Epoch: 27 [4608/46200]	Loss: 0.2937	LR: 0.020000
Training Epoch: 27 [4864/46200]	Loss: 0.3030	LR: 0.020000
Training Epoch: 27 [5120/46200]	Loss: 0.3061	LR: 0.020000
Training Epoch: 27 [5376/46200]	Loss: 0.2746	LR: 0.020000
Training Epoch: 27 [5632/46200]	Loss: 0.3210	LR: 0.020000
Training Epoch: 27 [5888/46200]	Loss: 0.4454	LR: 0.020000
Training Epoch: 27 [6144/46200]	Loss: 0.4094	LR: 0.020000
Training Epoch: 27 [6400/46200]	Loss: 0.2870	LR: 0.020000
Training Epoch: 27 [6656/46200]	Loss: 0.3120	LR: 0.020000
Training Epoch: 27 [6912/46200]	Loss: 0.2814	LR: 0.020000
Training Epoch: 27 [7168/46200]	Loss: 0.3339	LR: 0.020000
Training Epoch: 27 [7424/46200]	Loss: 0.3616	LR: 0.020000
Training Epoch: 27 [7680/46200]	Loss: 0.2394	LR: 0.020000
Training Epoch: 27 [7936/46200]	Loss: 0.2688	LR: 0.020000
Training Epoch: 27 [8192/46200]	Loss: 0.2438	LR: 0.020000
Training Epoch: 27 [8448/46200]	Loss: 0.3004	LR: 0.020000
Training Epoch: 27 [8704/46200]	Loss: 0.3630	LR: 0.020000
Training Epoch: 27 [8960/46200]	Loss: 0.4183	LR: 0.020000
Training Epoch: 27 [9216/46200]	Loss: 0.2928	LR: 0.020000
Training Epoch: 27 [9472/46200]	Loss: 0.3541	LR: 0.020000
Training Epoch: 27 [9728/46200]	Loss: 0.4059	LR: 0.020000
Training Epoch: 27 [9984/46200]	Loss: 0.3770	LR: 0.020000
Training Epoch: 27 [10240/46200]	Loss: 0.3391	LR: 0.020000
Training Epoch: 27 [10496/46200]	Loss: 0.3364	LR: 0.020000
Training Epoch: 27 [10752/46200]	Loss: 0.3748	LR: 0.020000
Training Epoch: 27 [11008/46200]	Loss: 0.3260	LR: 0.020000
Training Epoch: 27 [11264/46200]	Loss: 0.3407	LR: 0.020000
Training Epoch: 27 [11520/46200]	Loss: 0.3124	LR: 0.020000
Training Epoch: 27 [11776/46200]	Loss: 0.3307	LR: 0.020000
Training Epoch: 27 [12032/46200]	Loss: 0.3168	LR: 0.020000
Training Epoch: 27 [12288/46200]	Loss: 0.4334	LR: 0.020000
Training Epoch: 27 [12544/46200]	Loss: 0.3238	LR: 0.020000
Training Epoch: 27 [12800/46200]	Loss: 0.3993	LR: 0.020000
Training Epoch: 27 [13056/46200]	Loss: 0.3181	LR: 0.020000
Training Epoch: 27 [13312/46200]	Loss: 0.3392	LR: 0.020000
Training Epoch: 27 [13568/46200]	Loss: 0.4232	LR: 0.020000
Training Epoch: 27 [13824/46200]	Loss: 0.3235	LR: 0.020000
Training Epoch: 27 [14080/46200]	Loss: 0.3991	LR: 0.020000
Training Epoch: 27 [14336/46200]	Loss: 0.3056	LR: 0.020000
Training Epoch: 27 [14592/46200]	Loss: 0.3409	LR: 0.020000
Training Epoch: 27 [14848/46200]	Loss: 0.3129	LR: 0.020000
Training Epoch: 27 [15104/46200]	Loss: 0.2916	LR: 0.020000
Training Epoch: 27 [15360/46200]	Loss: 0.3381	LR: 0.020000
Training Epoch: 27 [15616/46200]	Loss: 0.2629	LR: 0.020000
Training Epoch: 27 [15872/46200]	Loss: 0.3924	LR: 0.020000
Training Epoch: 27 [16128/46200]	Loss: 0.3797	LR: 0.020000
Training Epoch: 27 [16384/46200]	Loss: 0.3673	LR: 0.020000
Training Epoch: 27 [16640/46200]	Loss: 0.4470	LR: 0.020000
Training Epoch: 27 [16896/46200]	Loss: 0.4653	LR: 0.020000
Training Epoch: 27 [17152/46200]	Loss: 0.3444	LR: 0.020000
Training Epoch: 27 [17408/46200]	Loss: 0.3248	LR: 0.020000
Training Epoch: 27 [17664/46200]	Loss: 0.3482	LR: 0.020000
Training Epoch: 27 [17920/46200]	Loss: 0.4734	LR: 0.020000
Training Epoch: 27 [18176/46200]	Loss: 0.3727	LR: 0.020000
Training Epoch: 27 [18432/46200]	Loss: 0.3741	LR: 0.020000
Training Epoch: 27 [18688/46200]	Loss: 0.4531	LR: 0.020000
Training Epoch: 27 [18944/46200]	Loss: 0.3212	LR: 0.020000
Training Epoch: 27 [19200/46200]	Loss: 0.2888	LR: 0.020000
Training Epoch: 27 [19456/46200]	Loss: 0.2850	LR: 0.020000
Training Epoch: 27 [19712/46200]	Loss: 0.3360	LR: 0.020000
Training Epoch: 27 [19968/46200]	Loss: 0.4414	LR: 0.020000
Training Epoch: 27 [20224/46200]	Loss: 0.3747	LR: 0.020000
Training Epoch: 27 [20480/46200]	Loss: 0.3916	LR: 0.020000
Training Epoch: 27 [20736/46200]	Loss: 0.4062	LR: 0.020000
Training Epoch: 27 [20992/46200]	Loss: 0.3959	LR: 0.020000
Training Epoch: 27 [21248/46200]	Loss: 0.3365	LR: 0.020000
Training Epoch: 27 [21504/46200]	Loss: 0.3472	LR: 0.020000
Training Epoch: 27 [21760/46200]	Loss: 0.3719	LR: 0.020000
Training Epoch: 27 [22016/46200]	Loss: 0.3799	LR: 0.020000
Training Epoch: 27 [22272/46200]	Loss: 0.3593	LR: 0.020000
Training Epoch: 27 [22528/46200]	Loss: 0.4304	LR: 0.020000
Training Epoch: 27 [22784/46200]	Loss: 0.3831	LR: 0.020000
Training Epoch: 27 [23040/46200]	Loss: 0.3823	LR: 0.020000
Training Epoch: 27 [23296/46200]	Loss: 0.4307	LR: 0.020000
Training Epoch: 27 [23552/46200]	Loss: 0.4345	LR: 0.020000
Training Epoch: 27 [23808/46200]	Loss: 0.2537	LR: 0.020000
Training Epoch: 27 [24064/46200]	Loss: 0.2713	LR: 0.020000
Training Epoch: 27 [24320/46200]	Loss: 0.3236	LR: 0.020000
Training Epoch: 27 [24576/46200]	Loss: 0.4253	LR: 0.020000
Training Epoch: 27 [24832/46200]	Loss: 0.4254	LR: 0.020000
Training Epoch: 27 [25088/46200]	Loss: 0.3079	LR: 0.020000
Training Epoch: 27 [25344/46200]	Loss: 0.3057	LR: 0.020000
Training Epoch: 27 [25600/46200]	Loss: 0.3534	LR: 0.020000
Training Epoch: 27 [25856/46200]	Loss: 0.3156	LR: 0.020000
Training Epoch: 27 [26112/46200]	Loss: 0.3985	LR: 0.020000
Training Epoch: 27 [26368/46200]	Loss: 0.3283	LR: 0.020000
Training Epoch: 27 [26624/46200]	Loss: 0.4157	LR: 0.020000
Training Epoch: 27 [26880/46200]	Loss: 0.4225	LR: 0.020000
Training Epoch: 27 [27136/46200]	Loss: 0.2786	LR: 0.020000
Training Epoch: 27 [27392/46200]	Loss: 0.4061	LR: 0.020000
Training Epoch: 27 [27648/46200]	Loss: 0.3504	LR: 0.020000
Training Epoch: 27 [27904/46200]	Loss: 0.3444	LR: 0.020000
Training Epoch: 27 [28160/46200]	Loss: 0.4420	LR: 0.020000
Training Epoch: 27 [28416/46200]	Loss: 0.3836	LR: 0.020000
Training Epoch: 27 [28672/46200]	Loss: 0.3633	LR: 0.020000
Training Epoch: 27 [28928/46200]	Loss: 0.4187	LR: 0.020000
Training Epoch: 27 [29184/46200]	Loss: 0.3503	LR: 0.020000
Training Epoch: 27 [29440/46200]	Loss: 0.2678	LR: 0.020000
Training Epoch: 27 [29696/46200]	Loss: 0.3814	LR: 0.020000
Training Epoch: 27 [29952/46200]	Loss: 0.3966	LR: 0.020000
Training Epoch: 27 [30208/46200]	Loss: 0.3903	LR: 0.020000
Training Epoch: 27 [30464/46200]	Loss: 0.3951	LR: 0.020000
Training Epoch: 27 [30720/46200]	Loss: 0.3370	LR: 0.020000
Training Epoch: 27 [30976/46200]	Loss: 0.3588	LR: 0.020000
Training Epoch: 27 [31232/46200]	Loss: 0.3566	LR: 0.020000
Training Epoch: 27 [31488/46200]	Loss: 0.2692	LR: 0.020000
Training Epoch: 27 [31744/46200]	Loss: 0.3639	LR: 0.020000
Training Epoch: 27 [32000/46200]	Loss: 0.2980	LR: 0.020000
Training Epoch: 27 [32256/46200]	Loss: 0.3673	LR: 0.020000
Training Epoch: 27 [32512/46200]	Loss: 0.3250	LR: 0.020000
Training Epoch: 27 [32768/46200]	Loss: 0.3948	LR: 0.020000
Training Epoch: 27 [33024/46200]	Loss: 0.3615	LR: 0.020000
Training Epoch: 27 [33280/46200]	Loss: 0.3207	LR: 0.020000
Training Epoch: 27 [33536/46200]	Loss: 0.3957	LR: 0.020000
Training Epoch: 27 [33792/46200]	Loss: 0.3527	LR: 0.020000
Training Epoch: 27 [34048/46200]	Loss: 0.3918	LR: 0.020000
Training Epoch: 27 [34304/46200]	Loss: 0.3460	LR: 0.020000
Training Epoch: 27 [34560/46200]	Loss: 0.3064	LR: 0.020000
Training Epoch: 27 [34816/46200]	Loss: 0.2891	LR: 0.020000
Training Epoch: 27 [35072/46200]	Loss: 0.3318	LR: 0.020000
Training Epoch: 27 [35328/46200]	Loss: 0.3865	LR: 0.020000
Training Epoch: 27 [35584/46200]	Loss: 0.3852	LR: 0.020000
Training Epoch: 27 [35840/46200]	Loss: 0.3637	LR: 0.020000
Training Epoch: 27 [36096/46200]	Loss: 0.4770	LR: 0.020000
Training Epoch: 27 [36352/46200]	Loss: 0.3181	LR: 0.020000
Training Epoch: 27 [36608/46200]	Loss: 0.3848	LR: 0.020000
Training Epoch: 27 [36864/46200]	Loss: 0.3979	LR: 0.020000
Training Epoch: 27 [37120/46200]	Loss: 0.3272	LR: 0.020000
Training Epoch: 27 [37376/46200]	Loss: 0.3647	LR: 0.020000
Training Epoch: 27 [37632/46200]	Loss: 0.4066	LR: 0.020000
Training Epoch: 27 [37888/46200]	Loss: 0.4066	LR: 0.020000
Training Epoch: 27 [38144/46200]	Loss: 0.4179	LR: 0.020000
Training Epoch: 27 [38400/46200]	Loss: 0.4515	LR: 0.020000
Training Epoch: 27 [38656/46200]	Loss: 0.3887	LR: 0.020000
Training Epoch: 27 [38912/46200]	Loss: 0.3941	LR: 0.020000
Training Epoch: 27 [39168/46200]	Loss: 0.4659	LR: 0.020000
Training Epoch: 27 [39424/46200]	Loss: 0.3249	LR: 0.020000
Training Epoch: 27 [39680/46200]	Loss: 0.4260	LR: 0.020000
Training Epoch: 27 [39936/46200]	Loss: 0.4258	LR: 0.020000
Training Epoch: 27 [40192/46200]	Loss: 0.3705	LR: 0.020000
Training Epoch: 27 [40448/46200]	Loss: 0.3849	LR: 0.020000
Training Epoch: 27 [40704/46200]	Loss: 0.3896	LR: 0.020000
Training Epoch: 27 [40960/46200]	Loss: 0.3859	LR: 0.020000
Training Epoch: 27 [41216/46200]	Loss: 0.3868	LR: 0.020000
Training Epoch: 27 [41472/46200]	Loss: 0.4096	LR: 0.020000
Training Epoch: 27 [41728/46200]	Loss: 0.3039	LR: 0.020000
Training Epoch: 27 [41984/46200]	Loss: 0.4741	LR: 0.020000
Training Epoch: 27 [42240/46200]	Loss: 0.4494	LR: 0.020000
Training Epoch: 27 [42496/46200]	Loss: 0.4944	LR: 0.020000
Training Epoch: 27 [42752/46200]	Loss: 0.4062	LR: 0.020000
Training Epoch: 27 [43008/46200]	Loss: 0.4702	LR: 0.020000
Training Epoch: 27 [43264/46200]	Loss: 0.4470	LR: 0.020000
Training Epoch: 27 [43520/46200]	Loss: 0.2986	LR: 0.020000
Training Epoch: 27 [43776/46200]	Loss: 0.4710	LR: 0.020000
Training Epoch: 27 [44032/46200]	Loss: 0.4557	LR: 0.020000
Training Epoch: 27 [44288/46200]	Loss: 0.4411	LR: 0.020000
Training Epoch: 27 [44544/46200]	Loss: 0.3462	LR: 0.020000
Training Epoch: 27 [44800/46200]	Loss: 0.4160	LR: 0.020000
Training Epoch: 27 [45056/46200]	Loss: 0.3470	LR: 0.020000
Training Epoch: 27 [45312/46200]	Loss: 0.3944	LR: 0.020000
Training Epoch: 27 [45568/46200]	Loss: 0.3887	LR: 0.020000
Training Epoch: 27 [45824/46200]	Loss: 0.3793	LR: 0.020000
Training Epoch: 27 [46080/46200]	Loss: 0.4960	LR: 0.020000
Training Epoch: 27 [46200/46200]	Loss: 0.4708	LR: 0.020000
Epoch 27 - Average Train Loss: 0.3657, Train Accuracy: 0.8785
Epoch 27 training time consumed: 27.68s
Evaluating Network.....
Test set: Epoch: 27, Average loss: 0.0033, Accuracy: 0.7616, Time consumed:0.89s
Training Epoch: 28 [256/46200]	Loss: 0.3591	LR: 0.020000
Training Epoch: 28 [512/46200]	Loss: 0.3213	LR: 0.020000
Training Epoch: 28 [768/46200]	Loss: 0.4260	LR: 0.020000
Training Epoch: 28 [1024/46200]	Loss: 0.2772	LR: 0.020000
Training Epoch: 28 [1280/46200]	Loss: 0.3154	LR: 0.020000
Training Epoch: 28 [1536/46200]	Loss: 0.2500	LR: 0.020000
Training Epoch: 28 [1792/46200]	Loss: 0.3946	LR: 0.020000
Training Epoch: 28 [2048/46200]	Loss: 0.3217	LR: 0.020000
Training Epoch: 28 [2304/46200]	Loss: 0.3049	LR: 0.020000
Training Epoch: 28 [2560/46200]	Loss: 0.3715	LR: 0.020000
Training Epoch: 28 [2816/46200]	Loss: 0.3751	LR: 0.020000
Training Epoch: 28 [3072/46200]	Loss: 0.1922	LR: 0.020000
Training Epoch: 28 [3328/46200]	Loss: 0.3651	LR: 0.020000
Training Epoch: 28 [3584/46200]	Loss: 0.3273	LR: 0.020000
Training Epoch: 28 [3840/46200]	Loss: 0.3927	LR: 0.020000
Training Epoch: 28 [4096/46200]	Loss: 0.3929	LR: 0.020000
Training Epoch: 28 [4352/46200]	Loss: 0.3173	LR: 0.020000
Training Epoch: 28 [4608/46200]	Loss: 0.3653	LR: 0.020000
Training Epoch: 28 [4864/46200]	Loss: 0.3893	LR: 0.020000
Training Epoch: 28 [5120/46200]	Loss: 0.3380	LR: 0.020000
Training Epoch: 28 [5376/46200]	Loss: 0.2749	LR: 0.020000
Training Epoch: 28 [5632/46200]	Loss: 0.3461	LR: 0.020000
Training Epoch: 28 [5888/46200]	Loss: 0.2942	LR: 0.020000
Training Epoch: 28 [6144/46200]	Loss: 0.2324	LR: 0.020000
Training Epoch: 28 [6400/46200]	Loss: 0.3527	LR: 0.020000
Training Epoch: 28 [6656/46200]	Loss: 0.2980	LR: 0.020000
Training Epoch: 28 [6912/46200]	Loss: 0.3071	LR: 0.020000
Training Epoch: 28 [7168/46200]	Loss: 0.2966	LR: 0.020000
Training Epoch: 28 [7424/46200]	Loss: 0.2725	LR: 0.020000
Training Epoch: 28 [7680/46200]	Loss: 0.3637	LR: 0.020000
Training Epoch: 28 [7936/46200]	Loss: 0.3084	LR: 0.020000
Training Epoch: 28 [8192/46200]	Loss: 0.3415	LR: 0.020000
Training Epoch: 28 [8448/46200]	Loss: 0.4489	LR: 0.020000
Training Epoch: 28 [8704/46200]	Loss: 0.3300	LR: 0.020000
Training Epoch: 28 [8960/46200]	Loss: 0.3373	LR: 0.020000
Training Epoch: 28 [9216/46200]	Loss: 0.2978	LR: 0.020000
Training Epoch: 28 [9472/46200]	Loss: 0.2966	LR: 0.020000
Training Epoch: 28 [9728/46200]	Loss: 0.3295	LR: 0.020000
Training Epoch: 28 [9984/46200]	Loss: 0.3446	LR: 0.020000
Training Epoch: 28 [10240/46200]	Loss: 0.3902	LR: 0.020000
Training Epoch: 28 [10496/46200]	Loss: 0.3804	LR: 0.020000
Training Epoch: 28 [10752/46200]	Loss: 0.3636	LR: 0.020000
Training Epoch: 28 [11008/46200]	Loss: 0.3468	LR: 0.020000
Training Epoch: 28 [11264/46200]	Loss: 0.3800	LR: 0.020000
Training Epoch: 28 [11520/46200]	Loss: 0.2752	LR: 0.020000
Training Epoch: 28 [11776/46200]	Loss: 0.3478	LR: 0.020000
Training Epoch: 28 [12032/46200]	Loss: 0.3720	LR: 0.020000
Training Epoch: 28 [12288/46200]	Loss: 0.3505	LR: 0.020000
Training Epoch: 28 [12544/46200]	Loss: 0.3585	LR: 0.020000
Training Epoch: 28 [12800/46200]	Loss: 0.3757	LR: 0.020000
Training Epoch: 28 [13056/46200]	Loss: 0.3424	LR: 0.020000
Training Epoch: 28 [13312/46200]	Loss: 0.3621	LR: 0.020000
Training Epoch: 28 [13568/46200]	Loss: 0.3364	LR: 0.020000
Training Epoch: 28 [13824/46200]	Loss: 0.3917	LR: 0.020000
Training Epoch: 28 [14080/46200]	Loss: 0.3073	LR: 0.020000
Training Epoch: 28 [14336/46200]	Loss: 0.4231	LR: 0.020000
Training Epoch: 28 [14592/46200]	Loss: 0.3324	LR: 0.020000
Training Epoch: 28 [14848/46200]	Loss: 0.3782	LR: 0.020000
Training Epoch: 28 [15104/46200]	Loss: 0.3006	LR: 0.020000
Training Epoch: 28 [15360/46200]	Loss: 0.2730	LR: 0.020000
Training Epoch: 28 [15616/46200]	Loss: 0.3420	LR: 0.020000
Training Epoch: 28 [15872/46200]	Loss: 0.3801	LR: 0.020000
Training Epoch: 28 [16128/46200]	Loss: 0.3932	LR: 0.020000
Training Epoch: 28 [16384/46200]	Loss: 0.3749	LR: 0.020000
Training Epoch: 28 [16640/46200]	Loss: 0.3965	LR: 0.020000
Training Epoch: 28 [16896/46200]	Loss: 0.3915	LR: 0.020000
Training Epoch: 28 [17152/46200]	Loss: 0.3554	LR: 0.020000
Training Epoch: 28 [17408/46200]	Loss: 0.4739	LR: 0.020000
Training Epoch: 28 [17664/46200]	Loss: 0.3606	LR: 0.020000
Training Epoch: 28 [17920/46200]	Loss: 0.3232	LR: 0.020000
Training Epoch: 28 [18176/46200]	Loss: 0.3067	LR: 0.020000
Training Epoch: 28 [18432/46200]	Loss: 0.2961	LR: 0.020000
Training Epoch: 28 [18688/46200]	Loss: 0.4634	LR: 0.020000
Training Epoch: 28 [18944/46200]	Loss: 0.2930	LR: 0.020000
Training Epoch: 28 [19200/46200]	Loss: 0.3102	LR: 0.020000
Training Epoch: 28 [19456/46200]	Loss: 0.3355	LR: 0.020000
Training Epoch: 28 [19712/46200]	Loss: 0.3124	LR: 0.020000
Training Epoch: 28 [19968/46200]	Loss: 0.3463	LR: 0.020000
Training Epoch: 28 [20224/46200]	Loss: 0.4061	LR: 0.020000
Training Epoch: 28 [20480/46200]	Loss: 0.4152	LR: 0.020000
Training Epoch: 28 [20736/46200]	Loss: 0.2623	LR: 0.020000
Training Epoch: 28 [20992/46200]	Loss: 0.3920	LR: 0.020000
Training Epoch: 28 [21248/46200]	Loss: 0.3239	LR: 0.020000
Training Epoch: 28 [21504/46200]	Loss: 0.2965	LR: 0.020000
Training Epoch: 28 [21760/46200]	Loss: 0.3383	LR: 0.020000
Training Epoch: 28 [22016/46200]	Loss: 0.4403	LR: 0.020000
Training Epoch: 28 [22272/46200]	Loss: 0.3932	LR: 0.020000
Training Epoch: 28 [22528/46200]	Loss: 0.4619	LR: 0.020000
Training Epoch: 28 [22784/46200]	Loss: 0.3423	LR: 0.020000
Training Epoch: 28 [23040/46200]	Loss: 0.3691	LR: 0.020000
Training Epoch: 28 [23296/46200]	Loss: 0.3425	LR: 0.020000
Training Epoch: 28 [23552/46200]	Loss: 0.4077	LR: 0.020000
Training Epoch: 28 [23808/46200]	Loss: 0.3663	LR: 0.020000
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Training Epoch: 28 [24832/46200]	Loss: 0.3700	LR: 0.020000
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Training Epoch: 28 [25600/46200]	Loss: 0.3879	LR: 0.020000
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Training Epoch: 28 [26112/46200]	Loss: 0.3517	LR: 0.020000
Training Epoch: 28 [26368/46200]	Loss: 0.3297	LR: 0.020000
Training Epoch: 28 [26624/46200]	Loss: 0.3926	LR: 0.020000
Training Epoch: 28 [26880/46200]	Loss: 0.3726	LR: 0.020000
Training Epoch: 28 [27136/46200]	Loss: 0.3327	LR: 0.020000
Training Epoch: 28 [27392/46200]	Loss: 0.3984	LR: 0.020000
Training Epoch: 28 [27648/46200]	Loss: 0.3717	LR: 0.020000
Training Epoch: 28 [27904/46200]	Loss: 0.3454	LR: 0.020000
Training Epoch: 28 [28160/46200]	Loss: 0.3548	LR: 0.020000
Training Epoch: 28 [28416/46200]	Loss: 0.3144	LR: 0.020000
Training Epoch: 28 [28672/46200]	Loss: 0.4120	LR: 0.020000
Training Epoch: 28 [28928/46200]	Loss: 0.4283	LR: 0.020000
Training Epoch: 28 [29184/46200]	Loss: 0.3550	LR: 0.020000
Training Epoch: 28 [29440/46200]	Loss: 0.3057	LR: 0.020000
Training Epoch: 28 [29696/46200]	Loss: 0.3454	LR: 0.020000
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Training Epoch: 28 [30208/46200]	Loss: 0.3658	LR: 0.020000
Training Epoch: 28 [30464/46200]	Loss: 0.3617	LR: 0.020000
Training Epoch: 28 [30720/46200]	Loss: 0.3176	LR: 0.020000
Training Epoch: 28 [30976/46200]	Loss: 0.3830	LR: 0.020000
Training Epoch: 28 [31232/46200]	Loss: 0.2894	LR: 0.020000
Training Epoch: 28 [31488/46200]	Loss: 0.3449	LR: 0.020000
Training Epoch: 28 [31744/46200]	Loss: 0.4446	LR: 0.020000
Training Epoch: 28 [32000/46200]	Loss: 0.3649	LR: 0.020000
Training Epoch: 28 [32256/46200]	Loss: 0.3158	LR: 0.020000
Training Epoch: 28 [32512/46200]	Loss: 0.4267	LR: 0.020000
Training Epoch: 28 [32768/46200]	Loss: 0.3171	LR: 0.020000
Training Epoch: 28 [33024/46200]	Loss: 0.3801	LR: 0.020000
Training Epoch: 28 [33280/46200]	Loss: 0.3017	LR: 0.020000
Training Epoch: 28 [33536/46200]	Loss: 0.3845	LR: 0.020000
Training Epoch: 28 [33792/46200]	Loss: 0.4559	LR: 0.020000
Training Epoch: 28 [34048/46200]	Loss: 0.4141	LR: 0.020000
Training Epoch: 28 [34304/46200]	Loss: 0.3107	LR: 0.020000
Training Epoch: 28 [34560/46200]	Loss: 0.3817	LR: 0.020000
Training Epoch: 28 [34816/46200]	Loss: 0.4132	LR: 0.020000
Training Epoch: 28 [35072/46200]	Loss: 0.4183	LR: 0.020000
Training Epoch: 28 [35328/46200]	Loss: 0.4260	LR: 0.020000
Training Epoch: 28 [35584/46200]	Loss: 0.3661	LR: 0.020000
Training Epoch: 28 [35840/46200]	Loss: 0.3509	LR: 0.020000
Training Epoch: 28 [36096/46200]	Loss: 0.4349	LR: 0.020000
Training Epoch: 28 [36352/46200]	Loss: 0.4516	LR: 0.020000
Training Epoch: 28 [36608/46200]	Loss: 0.3240	LR: 0.020000
Training Epoch: 28 [36864/46200]	Loss: 0.4225	LR: 0.020000
Training Epoch: 28 [37120/46200]	Loss: 0.3900	LR: 0.020000
Training Epoch: 28 [37376/46200]	Loss: 0.4020	LR: 0.020000
Training Epoch: 28 [37632/46200]	Loss: 0.3684	LR: 0.020000
Training Epoch: 28 [37888/46200]	Loss: 0.3771	LR: 0.020000
Training Epoch: 28 [38144/46200]	Loss: 0.3982	LR: 0.020000
Training Epoch: 28 [38400/46200]	Loss: 0.4389	LR: 0.020000
Training Epoch: 28 [38656/46200]	Loss: 0.3702	LR: 0.020000
Training Epoch: 28 [38912/46200]	Loss: 0.3371	LR: 0.020000
Training Epoch: 28 [39168/46200]	Loss: 0.3675	LR: 0.020000
Training Epoch: 28 [39424/46200]	Loss: 0.4666	LR: 0.020000
Training Epoch: 28 [39680/46200]	Loss: 0.3594	LR: 0.020000
Training Epoch: 28 [39936/46200]	Loss: 0.4055	LR: 0.020000
Training Epoch: 28 [40192/46200]	Loss: 0.2905	LR: 0.020000
Training Epoch: 28 [40448/46200]	Loss: 0.3170	LR: 0.020000
Training Epoch: 28 [40704/46200]	Loss: 0.3352	LR: 0.020000
Training Epoch: 28 [40960/46200]	Loss: 0.3807	LR: 0.020000
Training Epoch: 28 [41216/46200]	Loss: 0.4141	LR: 0.020000
Training Epoch: 28 [41472/46200]	Loss: 0.4114	LR: 0.020000
Training Epoch: 28 [41728/46200]	Loss: 0.4646	LR: 0.020000
Training Epoch: 28 [41984/46200]	Loss: 0.3782	LR: 0.020000
Training Epoch: 28 [42240/46200]	Loss: 0.4333	LR: 0.020000
Training Epoch: 28 [42496/46200]	Loss: 0.3616	LR: 0.020000
Training Epoch: 28 [42752/46200]	Loss: 0.3781	LR: 0.020000
Training Epoch: 28 [43008/46200]	Loss: 0.3956	LR: 0.020000
Training Epoch: 28 [43264/46200]	Loss: 0.2922	LR: 0.020000
Training Epoch: 28 [43520/46200]	Loss: 0.3488	LR: 0.020000
Training Epoch: 28 [43776/46200]	Loss: 0.3244	LR: 0.020000
Training Epoch: 28 [44032/46200]	Loss: 0.3328	LR: 0.020000
Training Epoch: 28 [44288/46200]	Loss: 0.4174	LR: 0.020000
Training Epoch: 28 [44544/46200]	Loss: 0.3456	LR: 0.020000
Training Epoch: 28 [44800/46200]	Loss: 0.3708	LR: 0.020000
Training Epoch: 28 [45056/46200]	Loss: 0.4256	LR: 0.020000
Training Epoch: 28 [45312/46200]	Loss: 0.3994	LR: 0.020000
Training Epoch: 28 [45568/46200]	Loss: 0.3647	LR: 0.020000
Training Epoch: 28 [45824/46200]	Loss: 0.2881	LR: 0.020000
Training Epoch: 28 [46080/46200]	Loss: 0.3146	LR: 0.020000
Training Epoch: 28 [46200/46200]	Loss: 0.3254	LR: 0.020000
Epoch 28 - Average Train Loss: 0.3586, Train Accuracy: 0.8802
Epoch 28 training time consumed: 27.75s
Evaluating Network.....
Test set: Epoch: 28, Average loss: 0.0032, Accuracy: 0.7714, Time consumed:0.89s
Training Epoch: 29 [256/46200]	Loss: 0.2884	LR: 0.020000
Training Epoch: 29 [512/46200]	Loss: 0.3287	LR: 0.020000
Training Epoch: 29 [768/46200]	Loss: 0.3093	LR: 0.020000
Training Epoch: 29 [1024/46200]	Loss: 0.3153	LR: 0.020000
Training Epoch: 29 [1280/46200]	Loss: 0.2761	LR: 0.020000
Training Epoch: 29 [1536/46200]	Loss: 0.2743	LR: 0.020000
Training Epoch: 29 [1792/46200]	Loss: 0.3154	LR: 0.020000
Training Epoch: 29 [2048/46200]	Loss: 0.3246	LR: 0.020000
Training Epoch: 29 [2304/46200]	Loss: 0.3280	LR: 0.020000
Training Epoch: 29 [2560/46200]	Loss: 0.3136	LR: 0.020000
Training Epoch: 29 [2816/46200]	Loss: 0.3476	LR: 0.020000
Training Epoch: 29 [3072/46200]	Loss: 0.2879	LR: 0.020000
Training Epoch: 29 [3328/46200]	Loss: 0.3462	LR: 0.020000
Training Epoch: 29 [3584/46200]	Loss: 0.3312	LR: 0.020000
Training Epoch: 29 [3840/46200]	Loss: 0.4037	LR: 0.020000
Training Epoch: 29 [4096/46200]	Loss: 0.3273	LR: 0.020000
Training Epoch: 29 [4352/46200]	Loss: 0.2997	LR: 0.020000
Training Epoch: 29 [4608/46200]	Loss: 0.3780	LR: 0.020000
Training Epoch: 29 [4864/46200]	Loss: 0.3713	LR: 0.020000
Training Epoch: 29 [5120/46200]	Loss: 0.3696	LR: 0.020000
Training Epoch: 29 [5376/46200]	Loss: 0.3351	LR: 0.020000
Training Epoch: 29 [5632/46200]	Loss: 0.2659	LR: 0.020000
Training Epoch: 29 [5888/46200]	Loss: 0.2965	LR: 0.020000
Training Epoch: 29 [6144/46200]	Loss: 0.2757	LR: 0.020000
Training Epoch: 29 [6400/46200]	Loss: 0.3266	LR: 0.020000
Training Epoch: 29 [6656/46200]	Loss: 0.2441	LR: 0.020000
Training Epoch: 29 [6912/46200]	Loss: 0.3305	LR: 0.020000
Training Epoch: 29 [7168/46200]	Loss: 0.3286	LR: 0.020000
Training Epoch: 29 [7424/46200]	Loss: 0.3940	LR: 0.020000
Training Epoch: 29 [7680/46200]	Loss: 0.2800	LR: 0.020000
Training Epoch: 29 [7936/46200]	Loss: 0.3410	LR: 0.020000
Training Epoch: 29 [8192/46200]	Loss: 0.3735	LR: 0.020000
Training Epoch: 29 [8448/46200]	Loss: 0.3254	LR: 0.020000
Training Epoch: 29 [8704/46200]	Loss: 0.4221	LR: 0.020000
Training Epoch: 29 [8960/46200]	Loss: 0.3243	LR: 0.020000
Training Epoch: 29 [9216/46200]	Loss: 0.2593	LR: 0.020000
Training Epoch: 29 [9472/46200]	Loss: 0.3394	LR: 0.020000
Training Epoch: 29 [9728/46200]	Loss: 0.3494	LR: 0.020000
Training Epoch: 29 [9984/46200]	Loss: 0.2698	LR: 0.020000
Training Epoch: 29 [10240/46200]	Loss: 0.3644	LR: 0.020000
Training Epoch: 29 [10496/46200]	Loss: 0.4001	LR: 0.020000
Training Epoch: 29 [10752/46200]	Loss: 0.2261	LR: 0.020000
Training Epoch: 29 [11008/46200]	Loss: 0.3749	LR: 0.020000
Training Epoch: 29 [11264/46200]	Loss: 0.3468	LR: 0.020000
Training Epoch: 29 [11520/46200]	Loss: 0.3369	LR: 0.020000
Training Epoch: 29 [11776/46200]	Loss: 0.3700	LR: 0.020000
Training Epoch: 29 [12032/46200]	Loss: 0.3985	LR: 0.020000
Training Epoch: 29 [12288/46200]	Loss: 0.3990	LR: 0.020000
Training Epoch: 29 [12544/46200]	Loss: 0.3145	LR: 0.020000
Training Epoch: 29 [12800/46200]	Loss: 0.3352	LR: 0.020000
Training Epoch: 29 [13056/46200]	Loss: 0.2652	LR: 0.020000
Training Epoch: 29 [13312/46200]	Loss: 0.2837	LR: 0.020000
Training Epoch: 29 [13568/46200]	Loss: 0.2706	LR: 0.020000
Training Epoch: 29 [13824/46200]	Loss: 0.3666	LR: 0.020000
Training Epoch: 29 [14080/46200]	Loss: 0.3123	LR: 0.020000
Training Epoch: 29 [14336/46200]	Loss: 0.2551	LR: 0.020000
Training Epoch: 29 [14592/46200]	Loss: 0.3003	LR: 0.020000
Training Epoch: 29 [14848/46200]	Loss: 0.3727	LR: 0.020000
Training Epoch: 29 [15104/46200]	Loss: 0.3025	LR: 0.020000
Training Epoch: 29 [15360/46200]	Loss: 0.2836	LR: 0.020000
Training Epoch: 29 [15616/46200]	Loss: 0.3857	LR: 0.020000
Training Epoch: 29 [15872/46200]	Loss: 0.2417	LR: 0.020000
Training Epoch: 29 [16128/46200]	Loss: 0.2427	LR: 0.020000
Training Epoch: 29 [16384/46200]	Loss: 0.3286	LR: 0.020000
Training Epoch: 29 [16640/46200]	Loss: 0.2801	LR: 0.020000
Training Epoch: 29 [16896/46200]	Loss: 0.4090	LR: 0.020000
Training Epoch: 29 [17152/46200]	Loss: 0.3373	LR: 0.020000
Training Epoch: 29 [17408/46200]	Loss: 0.3539	LR: 0.020000
Training Epoch: 29 [17664/46200]	Loss: 0.2709	LR: 0.020000
Training Epoch: 29 [17920/46200]	Loss: 0.3715	LR: 0.020000
Training Epoch: 29 [18176/46200]	Loss: 0.3021	LR: 0.020000
Training Epoch: 29 [18432/46200]	Loss: 0.3191	LR: 0.020000
Training Epoch: 29 [18688/46200]	Loss: 0.2598	LR: 0.020000
Training Epoch: 29 [18944/46200]	Loss: 0.3455	LR: 0.020000
Training Epoch: 29 [19200/46200]	Loss: 0.3070	LR: 0.020000
Training Epoch: 29 [19456/46200]	Loss: 0.2605	LR: 0.020000
Training Epoch: 29 [19712/46200]	Loss: 0.3510	LR: 0.020000
Training Epoch: 29 [19968/46200]	Loss: 0.3251	LR: 0.020000
Training Epoch: 29 [20224/46200]	Loss: 0.3177	LR: 0.020000
Training Epoch: 29 [20480/46200]	Loss: 0.3345	LR: 0.020000
Training Epoch: 29 [20736/46200]	Loss: 0.3130	LR: 0.020000
Training Epoch: 29 [20992/46200]	Loss: 0.3426	LR: 0.020000
Training Epoch: 29 [21248/46200]	Loss: 0.3316	LR: 0.020000
Training Epoch: 29 [21504/46200]	Loss: 0.3785	LR: 0.020000
Training Epoch: 29 [21760/46200]	Loss: 0.4210	LR: 0.020000
Training Epoch: 29 [22016/46200]	Loss: 0.3242	LR: 0.020000
Training Epoch: 29 [22272/46200]	Loss: 0.3793	LR: 0.020000
Training Epoch: 29 [22528/46200]	Loss: 0.2803	LR: 0.020000
Training Epoch: 29 [22784/46200]	Loss: 0.3118	LR: 0.020000
Training Epoch: 29 [23040/46200]	Loss: 0.3068	LR: 0.020000
Training Epoch: 29 [23296/46200]	Loss: 0.2532	LR: 0.020000
Training Epoch: 29 [23552/46200]	Loss: 0.3045	LR: 0.020000
Training Epoch: 29 [23808/46200]	Loss: 0.2737	LR: 0.020000
Training Epoch: 29 [24064/46200]	Loss: 0.3755	LR: 0.020000
Training Epoch: 29 [24320/46200]	Loss: 0.3343	LR: 0.020000
Training Epoch: 29 [24576/46200]	Loss: 0.3321	LR: 0.020000
Training Epoch: 29 [24832/46200]	Loss: 0.3268	LR: 0.020000
Training Epoch: 29 [25088/46200]	Loss: 0.4011	LR: 0.020000
Training Epoch: 29 [25344/46200]	Loss: 0.4331	LR: 0.020000
Training Epoch: 29 [25600/46200]	Loss: 0.3502	LR: 0.020000
Training Epoch: 29 [25856/46200]	Loss: 0.3335	LR: 0.020000
Training Epoch: 29 [26112/46200]	Loss: 0.4130	LR: 0.020000
Training Epoch: 29 [26368/46200]	Loss: 0.4536	LR: 0.020000
Training Epoch: 29 [26624/46200]	Loss: 0.3520	LR: 0.020000
Training Epoch: 29 [26880/46200]	Loss: 0.4259	LR: 0.020000
Training Epoch: 29 [27136/46200]	Loss: 0.3033	LR: 0.020000
Training Epoch: 29 [27392/46200]	Loss: 0.4040	LR: 0.020000
Training Epoch: 29 [27648/46200]	Loss: 0.3103	LR: 0.020000
Training Epoch: 29 [27904/46200]	Loss: 0.3829	LR: 0.020000
Training Epoch: 29 [28160/46200]	Loss: 0.3625	LR: 0.020000
Training Epoch: 29 [28416/46200]	Loss: 0.3098	LR: 0.020000
Training Epoch: 29 [28672/46200]	Loss: 0.3485	LR: 0.020000
Training Epoch: 29 [28928/46200]	Loss: 0.3048	LR: 0.020000
Training Epoch: 29 [29184/46200]	Loss: 0.3283	LR: 0.020000
Training Epoch: 29 [29440/46200]	Loss: 0.3742	LR: 0.020000
Training Epoch: 29 [29696/46200]	Loss: 0.3810	LR: 0.020000
Training Epoch: 29 [29952/46200]	Loss: 0.3751	LR: 0.020000
Training Epoch: 29 [30208/46200]	Loss: 0.3439	LR: 0.020000
Training Epoch: 29 [30464/46200]	Loss: 0.2865	LR: 0.020000
Training Epoch: 29 [30720/46200]	Loss: 0.3326	LR: 0.020000
Training Epoch: 29 [30976/46200]	Loss: 0.3502	LR: 0.020000
Training Epoch: 29 [31232/46200]	Loss: 0.3103	LR: 0.020000
Training Epoch: 29 [31488/46200]	Loss: 0.3908	LR: 0.020000
Training Epoch: 29 [31744/46200]	Loss: 0.4106	LR: 0.020000
Training Epoch: 29 [32000/46200]	Loss: 0.2774	LR: 0.020000
Training Epoch: 29 [32256/46200]	Loss: 0.3388	LR: 0.020000
Training Epoch: 29 [32512/46200]	Loss: 0.2558	LR: 0.020000
Training Epoch: 29 [32768/46200]	Loss: 0.3091	LR: 0.020000
Training Epoch: 29 [33024/46200]	Loss: 0.4473	LR: 0.020000
Training Epoch: 29 [33280/46200]	Loss: 0.3845	LR: 0.020000
Training Epoch: 29 [33536/46200]	Loss: 0.3896	LR: 0.020000
Training Epoch: 29 [33792/46200]	Loss: 0.3506	LR: 0.020000
Training Epoch: 29 [34048/46200]	Loss: 0.2832	LR: 0.020000
Training Epoch: 29 [34304/46200]	Loss: 0.3479	LR: 0.020000
Training Epoch: 29 [34560/46200]	Loss: 0.3155	LR: 0.020000
Training Epoch: 29 [34816/46200]	Loss: 0.3350	LR: 0.020000
Training Epoch: 29 [35072/46200]	Loss: 0.3384	LR: 0.020000
Training Epoch: 29 [35328/46200]	Loss: 0.2809	LR: 0.020000
Training Epoch: 29 [35584/46200]	Loss: 0.3369	LR: 0.020000
Training Epoch: 29 [35840/46200]	Loss: 0.3592	LR: 0.020000
Training Epoch: 29 [36096/46200]	Loss: 0.3178	LR: 0.020000
Training Epoch: 29 [36352/46200]	Loss: 0.3228	LR: 0.020000
Training Epoch: 29 [36608/46200]	Loss: 0.2956	LR: 0.020000
Training Epoch: 29 [36864/46200]	Loss: 0.4610	LR: 0.020000
Training Epoch: 29 [37120/46200]	Loss: 0.2944	LR: 0.020000
Training Epoch: 29 [37376/46200]	Loss: 0.3095	LR: 0.020000
Training Epoch: 29 [37632/46200]	Loss: 0.3276	LR: 0.020000
Training Epoch: 29 [37888/46200]	Loss: 0.3670	LR: 0.020000
Training Epoch: 29 [38144/46200]	Loss: 0.3491	LR: 0.020000
Training Epoch: 29 [38400/46200]	Loss: 0.4272	LR: 0.020000
Training Epoch: 29 [38656/46200]	Loss: 0.2854	LR: 0.020000
Training Epoch: 29 [38912/46200]	Loss: 0.4745	LR: 0.020000
Training Epoch: 29 [39168/46200]	Loss: 0.3704	LR: 0.020000
Training Epoch: 29 [39424/46200]	Loss: 0.3152	LR: 0.020000
Training Epoch: 29 [39680/46200]	Loss: 0.3448	LR: 0.020000
Training Epoch: 29 [39936/46200]	Loss: 0.4486	LR: 0.020000
Training Epoch: 29 [40192/46200]	Loss: 0.4059	LR: 0.020000
Training Epoch: 29 [40448/46200]	Loss: 0.3546	LR: 0.020000
Training Epoch: 29 [40704/46200]	Loss: 0.2923	LR: 0.020000
Training Epoch: 29 [40960/46200]	Loss: 0.4055	LR: 0.020000
Training Epoch: 29 [41216/46200]	Loss: 0.3527	LR: 0.020000
Training Epoch: 29 [41472/46200]	Loss: 0.4352	LR: 0.020000
Training Epoch: 29 [41728/46200]	Loss: 0.3401	LR: 0.020000
Training Epoch: 29 [41984/46200]	Loss: 0.3730	LR: 0.020000
Training Epoch: 29 [42240/46200]	Loss: 0.2528	LR: 0.020000
Training Epoch: 29 [42496/46200]	Loss: 0.3206	LR: 0.020000
Training Epoch: 29 [42752/46200]	Loss: 0.3740	LR: 0.020000
Training Epoch: 29 [43008/46200]	Loss: 0.3631	LR: 0.020000
Training Epoch: 29 [43264/46200]	Loss: 0.4466	LR: 0.020000
Training Epoch: 29 [43520/46200]	Loss: 0.3430	LR: 0.020000
Training Epoch: 29 [43776/46200]	Loss: 0.3287	LR: 0.020000
Training Epoch: 29 [44032/46200]	Loss: 0.4334	LR: 0.020000
Training Epoch: 29 [44288/46200]	Loss: 0.3873	LR: 0.020000
Training Epoch: 29 [44544/46200]	Loss: 0.4308	LR: 0.020000
Training Epoch: 29 [44800/46200]	Loss: 0.4228	LR: 0.020000
Training Epoch: 29 [45056/46200]	Loss: 0.4321	LR: 0.020000
Training Epoch: 29 [45312/46200]	Loss: 0.4306	LR: 0.020000
Training Epoch: 29 [45568/46200]	Loss: 0.3728	LR: 0.020000
Training Epoch: 29 [45824/46200]	Loss: 0.3225	LR: 0.020000
Training Epoch: 29 [46080/46200]	Loss: 0.4104	LR: 0.020000
Training Epoch: 29 [46200/46200]	Loss: 0.3504	LR: 0.020000
Epoch 29 - Average Train Loss: 0.3405, Train Accuracy: 0.8860
Epoch 29 training time consumed: 27.68s
Evaluating Network.....
Test set: Epoch: 29, Average loss: 0.0033, Accuracy: 0.7669, Time consumed:0.97s
Training Epoch: 30 [256/46200]	Loss: 0.3185	LR: 0.004000
Training Epoch: 30 [512/46200]	Loss: 0.2774	LR: 0.004000
Training Epoch: 30 [768/46200]	Loss: 0.3536	LR: 0.004000
Training Epoch: 30 [1024/46200]	Loss: 0.3258	LR: 0.004000
Training Epoch: 30 [1280/46200]	Loss: 0.2939	LR: 0.004000
Training Epoch: 30 [1536/46200]	Loss: 0.2816	LR: 0.004000
Training Epoch: 30 [1792/46200]	Loss: 0.2430	LR: 0.004000
Training Epoch: 30 [2048/46200]	Loss: 0.2818	LR: 0.004000
Training Epoch: 30 [2304/46200]	Loss: 0.2326	LR: 0.004000
Training Epoch: 30 [2560/46200]	Loss: 0.2074	LR: 0.004000
Training Epoch: 30 [2816/46200]	Loss: 0.2034	LR: 0.004000
Training Epoch: 30 [3072/46200]	Loss: 0.2513	LR: 0.004000
Training Epoch: 30 [3328/46200]	Loss: 0.2641	LR: 0.004000
Training Epoch: 30 [3584/46200]	Loss: 0.2418	LR: 0.004000
Training Epoch: 30 [3840/46200]	Loss: 0.2598	LR: 0.004000
Training Epoch: 30 [4096/46200]	Loss: 0.2620	LR: 0.004000
Training Epoch: 30 [4352/46200]	Loss: 0.2644	LR: 0.004000
Training Epoch: 30 [4608/46200]	Loss: 0.2154	LR: 0.004000
Training Epoch: 30 [4864/46200]	Loss: 0.3252	LR: 0.004000
Training Epoch: 30 [5120/46200]	Loss: 0.3011	LR: 0.004000
Training Epoch: 30 [5376/46200]	Loss: 0.2605	LR: 0.004000
Training Epoch: 30 [5632/46200]	Loss: 0.2720	LR: 0.004000
Training Epoch: 30 [5888/46200]	Loss: 0.2086	LR: 0.004000
Training Epoch: 30 [6144/46200]	Loss: 0.3709	LR: 0.004000
Training Epoch: 30 [6400/46200]	Loss: 0.2642	LR: 0.004000
Training Epoch: 30 [6656/46200]	Loss: 0.2786	LR: 0.004000
Training Epoch: 30 [6912/46200]	Loss: 0.1819	LR: 0.004000
Training Epoch: 30 [7168/46200]	Loss: 0.2262	LR: 0.004000
Training Epoch: 30 [7424/46200]	Loss: 0.2424	LR: 0.004000
Training Epoch: 30 [7680/46200]	Loss: 0.2267	LR: 0.004000
Training Epoch: 30 [7936/46200]	Loss: 0.2465	LR: 0.004000
Training Epoch: 30 [8192/46200]	Loss: 0.2823	LR: 0.004000
Training Epoch: 30 [8448/46200]	Loss: 0.2773	LR: 0.004000
Training Epoch: 30 [8704/46200]	Loss: 0.2049	LR: 0.004000
Training Epoch: 30 [8960/46200]	Loss: 0.2384	LR: 0.004000
Training Epoch: 30 [9216/46200]	Loss: 0.3065	LR: 0.004000
Training Epoch: 30 [9472/46200]	Loss: 0.2437	LR: 0.004000
Training Epoch: 30 [9728/46200]	Loss: 0.2868	LR: 0.004000
Training Epoch: 30 [9984/46200]	Loss: 0.1779	LR: 0.004000
Training Epoch: 30 [10240/46200]	Loss: 0.2308	LR: 0.004000
Training Epoch: 30 [10496/46200]	Loss: 0.2595	LR: 0.004000
Training Epoch: 30 [10752/46200]	Loss: 0.2498	LR: 0.004000
Training Epoch: 30 [11008/46200]	Loss: 0.2465	LR: 0.004000
Training Epoch: 30 [11264/46200]	Loss: 0.3281	LR: 0.004000
Training Epoch: 30 [11520/46200]	Loss: 0.2163	LR: 0.004000
Training Epoch: 30 [11776/46200]	Loss: 0.1636	LR: 0.004000
Training Epoch: 30 [12032/46200]	Loss: 0.2434	LR: 0.004000
Training Epoch: 30 [12288/46200]	Loss: 0.1922	LR: 0.004000
Training Epoch: 30 [12544/46200]	Loss: 0.2901	LR: 0.004000
Training Epoch: 30 [12800/46200]	Loss: 0.2132	LR: 0.004000
Training Epoch: 30 [13056/46200]	Loss: 0.2737	LR: 0.004000
Training Epoch: 30 [13312/46200]	Loss: 0.2711	LR: 0.004000
Training Epoch: 30 [13568/46200]	Loss: 0.2317	LR: 0.004000
Training Epoch: 30 [13824/46200]	Loss: 0.1733	LR: 0.004000
Training Epoch: 30 [14080/46200]	Loss: 0.2266	LR: 0.004000
Training Epoch: 30 [14336/46200]	Loss: 0.1958	LR: 0.004000
Training Epoch: 30 [14592/46200]	Loss: 0.2590	LR: 0.004000
Training Epoch: 30 [14848/46200]	Loss: 0.2023	LR: 0.004000
Training Epoch: 30 [15104/46200]	Loss: 0.2879	LR: 0.004000
Training Epoch: 30 [15360/46200]	Loss: 0.2583	LR: 0.004000
Training Epoch: 30 [15616/46200]	Loss: 0.1925	LR: 0.004000
Training Epoch: 30 [15872/46200]	Loss: 0.2263	LR: 0.004000
Training Epoch: 30 [16128/46200]	Loss: 0.2215	LR: 0.004000
Training Epoch: 30 [16384/46200]	Loss: 0.1396	LR: 0.004000
Training Epoch: 30 [16640/46200]	Loss: 0.1932	LR: 0.004000
Training Epoch: 30 [16896/46200]	Loss: 0.2380	LR: 0.004000
Training Epoch: 30 [17152/46200]	Loss: 0.1934	LR: 0.004000
Training Epoch: 30 [17408/46200]	Loss: 0.2375	LR: 0.004000
Training Epoch: 30 [17664/46200]	Loss: 0.2162	LR: 0.004000
Training Epoch: 30 [17920/46200]	Loss: 0.2376	LR: 0.004000
Training Epoch: 30 [18176/46200]	Loss: 0.1809	LR: 0.004000
Training Epoch: 30 [18432/46200]	Loss: 0.2378	LR: 0.004000
Training Epoch: 30 [18688/46200]	Loss: 0.2127	LR: 0.004000
Training Epoch: 30 [18944/46200]	Loss: 0.1763	LR: 0.004000
Training Epoch: 30 [19200/46200]	Loss: 0.1996	LR: 0.004000
Training Epoch: 30 [19456/46200]	Loss: 0.2626	LR: 0.004000
Training Epoch: 30 [19712/46200]	Loss: 0.2186	LR: 0.004000
Training Epoch: 30 [19968/46200]	Loss: 0.1764	LR: 0.004000
Training Epoch: 30 [20224/46200]	Loss: 0.2387	LR: 0.004000
Training Epoch: 30 [20480/46200]	Loss: 0.2144	LR: 0.004000
Training Epoch: 30 [20736/46200]	Loss: 0.1741	LR: 0.004000
Training Epoch: 30 [20992/46200]	Loss: 0.2444	LR: 0.004000
Training Epoch: 30 [21248/46200]	Loss: 0.1744	LR: 0.004000
Training Epoch: 30 [21504/46200]	Loss: 0.1979	LR: 0.004000
Training Epoch: 30 [21760/46200]	Loss: 0.2584	LR: 0.004000
Training Epoch: 30 [22016/46200]	Loss: 0.1854	LR: 0.004000
Training Epoch: 30 [22272/46200]	Loss: 0.2289	LR: 0.004000
Training Epoch: 30 [22528/46200]	Loss: 0.2178	LR: 0.004000
Training Epoch: 30 [22784/46200]	Loss: 0.2046	LR: 0.004000
Training Epoch: 30 [23040/46200]	Loss: 0.2217	LR: 0.004000
Training Epoch: 30 [23296/46200]	Loss: 0.2071	LR: 0.004000
Training Epoch: 30 [23552/46200]	Loss: 0.2251	LR: 0.004000
Training Epoch: 30 [23808/46200]	Loss: 0.1915	LR: 0.004000
Training Epoch: 30 [24064/46200]	Loss: 0.1995	LR: 0.004000
Training Epoch: 30 [24320/46200]	Loss: 0.2257	LR: 0.004000
Training Epoch: 30 [24576/46200]	Loss: 0.2028	LR: 0.004000
Training Epoch: 30 [24832/46200]	Loss: 0.2010	LR: 0.004000
Training Epoch: 30 [25088/46200]	Loss: 0.2258	LR: 0.004000
Training Epoch: 30 [25344/46200]	Loss: 0.2472	LR: 0.004000
Training Epoch: 30 [25600/46200]	Loss: 0.1972	LR: 0.004000
Training Epoch: 30 [25856/46200]	Loss: 0.1853	LR: 0.004000
Training Epoch: 30 [26112/46200]	Loss: 0.1898	LR: 0.004000
Training Epoch: 30 [26368/46200]	Loss: 0.2253	LR: 0.004000
Training Epoch: 30 [26624/46200]	Loss: 0.1846	LR: 0.004000
Training Epoch: 30 [26880/46200]	Loss: 0.1533	LR: 0.004000
Training Epoch: 30 [27136/46200]	Loss: 0.1875	LR: 0.004000
Training Epoch: 30 [27392/46200]	Loss: 0.2448	LR: 0.004000
Training Epoch: 30 [27648/46200]	Loss: 0.2450	LR: 0.004000
Training Epoch: 30 [27904/46200]	Loss: 0.2159	LR: 0.004000
Training Epoch: 30 [28160/46200]	Loss: 0.1889	LR: 0.004000
Training Epoch: 30 [28416/46200]	Loss: 0.2380	LR: 0.004000
Training Epoch: 30 [28672/46200]	Loss: 0.1902	LR: 0.004000
Training Epoch: 30 [28928/46200]	Loss: 0.1567	LR: 0.004000
Training Epoch: 30 [29184/46200]	Loss: 0.2070	LR: 0.004000
Training Epoch: 30 [29440/46200]	Loss: 0.2397	LR: 0.004000
Training Epoch: 30 [29696/46200]	Loss: 0.1854	LR: 0.004000
Training Epoch: 30 [29952/46200]	Loss: 0.2049	LR: 0.004000
Training Epoch: 30 [30208/46200]	Loss: 0.2034	LR: 0.004000
Training Epoch: 30 [30464/46200]	Loss: 0.3324	LR: 0.004000
Training Epoch: 30 [30720/46200]	Loss: 0.2407	LR: 0.004000
Training Epoch: 30 [30976/46200]	Loss: 0.1656	LR: 0.004000
Training Epoch: 30 [31232/46200]	Loss: 0.1477	LR: 0.004000
Training Epoch: 30 [31488/46200]	Loss: 0.2244	LR: 0.004000
Training Epoch: 30 [31744/46200]	Loss: 0.2359	LR: 0.004000
Training Epoch: 30 [32000/46200]	Loss: 0.2099	LR: 0.004000
Training Epoch: 30 [32256/46200]	Loss: 0.1617	LR: 0.004000
Training Epoch: 30 [32512/46200]	Loss: 0.2557	LR: 0.004000
Training Epoch: 30 [32768/46200]	Loss: 0.1991	LR: 0.004000
Training Epoch: 30 [33024/46200]	Loss: 0.2237	LR: 0.004000
Training Epoch: 30 [33280/46200]	Loss: 0.1433	LR: 0.004000
Training Epoch: 30 [33536/46200]	Loss: 0.1945	LR: 0.004000
Training Epoch: 30 [33792/46200]	Loss: 0.2533	LR: 0.004000
Training Epoch: 30 [34048/46200]	Loss: 0.2205	LR: 0.004000
Training Epoch: 30 [34304/46200]	Loss: 0.1836	LR: 0.004000
Training Epoch: 30 [34560/46200]	Loss: 0.1963	LR: 0.004000
Training Epoch: 30 [34816/46200]	Loss: 0.1683	LR: 0.004000
Training Epoch: 30 [35072/46200]	Loss: 0.2010	LR: 0.004000
Training Epoch: 30 [35328/46200]	Loss: 0.1800	LR: 0.004000
Training Epoch: 30 [35584/46200]	Loss: 0.2009	LR: 0.004000
Training Epoch: 30 [35840/46200]	Loss: 0.2157	LR: 0.004000
Training Epoch: 30 [36096/46200]	Loss: 0.1522	LR: 0.004000
Training Epoch: 30 [36352/46200]	Loss: 0.1888	LR: 0.004000
Training Epoch: 30 [36608/46200]	Loss: 0.1647	LR: 0.004000
Training Epoch: 30 [36864/46200]	Loss: 0.1811	LR: 0.004000
Training Epoch: 30 [37120/46200]	Loss: 0.1548	LR: 0.004000
Training Epoch: 30 [37376/46200]	Loss: 0.2138	LR: 0.004000
Training Epoch: 30 [37632/46200]	Loss: 0.2907	LR: 0.004000
Training Epoch: 30 [37888/46200]	Loss: 0.1761	LR: 0.004000
Training Epoch: 30 [38144/46200]	Loss: 0.1710	LR: 0.004000
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Training Epoch: 30 [43520/46200]	Loss: 0.1636	LR: 0.004000
Training Epoch: 30 [43776/46200]	Loss: 0.2199	LR: 0.004000
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Training Epoch: 30 [44544/46200]	Loss: 0.2091	LR: 0.004000
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Training Epoch: 30 [45056/46200]	Loss: 0.1932	LR: 0.004000
Training Epoch: 30 [45312/46200]	Loss: 0.1317	LR: 0.004000
Training Epoch: 30 [45568/46200]	Loss: 0.2121	LR: 0.004000
Training Epoch: 30 [45824/46200]	Loss: 0.1783	LR: 0.004000
Training Epoch: 30 [46080/46200]	Loss: 0.2650	LR: 0.004000
Training Epoch: 30 [46200/46200]	Loss: 0.1894	LR: 0.004000
Epoch 30 - Average Train Loss: 0.2222, Train Accuracy: 0.9295
Epoch 30 training time consumed: 27.66s
Evaluating Network.....
Test set: Epoch: 30, Average loss: 0.0027, Accuracy: 0.8057, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_04h_06m_40s/ResNet18-Cifar20-seed8-ret25-30-best.pth
Training Epoch: 31 [256/46200]	Loss: 0.1642	LR: 0.004000
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Training Epoch: 31 [44288/46200]	Loss: 0.1740	LR: 0.004000
Training Epoch: 31 [44544/46200]	Loss: 0.1550	LR: 0.004000
Training Epoch: 31 [44800/46200]	Loss: 0.1821	LR: 0.004000
Training Epoch: 31 [45056/46200]	Loss: 0.1883	LR: 0.004000
Training Epoch: 31 [45312/46200]	Loss: 0.1641	LR: 0.004000
Training Epoch: 31 [45568/46200]	Loss: 0.1889	LR: 0.004000
Training Epoch: 31 [45824/46200]	Loss: 0.2091	LR: 0.004000
Training Epoch: 31 [46080/46200]	Loss: 0.1915	LR: 0.004000
Training Epoch: 31 [46200/46200]	Loss: 0.2705	LR: 0.004000
Epoch 31 - Average Train Loss: 0.1819, Train Accuracy: 0.9445
Epoch 31 training time consumed: 27.48s
Evaluating Network.....
Test set: Epoch: 31, Average loss: 0.0027, Accuracy: 0.8069, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_04h_06m_40s/ResNet18-Cifar20-seed8-ret25-31-best.pth
Training Epoch: 32 [256/46200]	Loss: 0.1810	LR: 0.004000
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Training Epoch: 32 [17408/46200]	Loss: 0.1886	LR: 0.004000
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Training Epoch: 32 [17920/46200]	Loss: 0.1602	LR: 0.004000
Training Epoch: 32 [18176/46200]	Loss: 0.1401	LR: 0.004000
Training Epoch: 32 [18432/46200]	Loss: 0.1507	LR: 0.004000
Training Epoch: 32 [18688/46200]	Loss: 0.1614	LR: 0.004000
Training Epoch: 32 [18944/46200]	Loss: 0.1380	LR: 0.004000
Training Epoch: 32 [19200/46200]	Loss: 0.1739	LR: 0.004000
Training Epoch: 32 [19456/46200]	Loss: 0.2269	LR: 0.004000
Training Epoch: 32 [19712/46200]	Loss: 0.1413	LR: 0.004000
Training Epoch: 32 [19968/46200]	Loss: 0.2041	LR: 0.004000
Training Epoch: 32 [20224/46200]	Loss: 0.1221	LR: 0.004000
Training Epoch: 32 [20480/46200]	Loss: 0.1451	LR: 0.004000
Training Epoch: 32 [20736/46200]	Loss: 0.1338	LR: 0.004000
Training Epoch: 32 [20992/46200]	Loss: 0.1731	LR: 0.004000
Training Epoch: 32 [21248/46200]	Loss: 0.1243	LR: 0.004000
Training Epoch: 32 [21504/46200]	Loss: 0.1511	LR: 0.004000
Training Epoch: 32 [21760/46200]	Loss: 0.1696	LR: 0.004000
Training Epoch: 32 [22016/46200]	Loss: 0.1688	LR: 0.004000
Training Epoch: 32 [22272/46200]	Loss: 0.1277	LR: 0.004000
Training Epoch: 32 [22528/46200]	Loss: 0.1564	LR: 0.004000
Training Epoch: 32 [22784/46200]	Loss: 0.1822	LR: 0.004000
Training Epoch: 32 [23040/46200]	Loss: 0.1929	LR: 0.004000
Training Epoch: 32 [23296/46200]	Loss: 0.1908	LR: 0.004000
Training Epoch: 32 [23552/46200]	Loss: 0.1604	LR: 0.004000
Training Epoch: 32 [23808/46200]	Loss: 0.1728	LR: 0.004000
Training Epoch: 32 [24064/46200]	Loss: 0.1563	LR: 0.004000
Training Epoch: 32 [24320/46200]	Loss: 0.1586	LR: 0.004000
Training Epoch: 32 [24576/46200]	Loss: 0.1717	LR: 0.004000
Training Epoch: 32 [24832/46200]	Loss: 0.1779	LR: 0.004000
Training Epoch: 32 [25088/46200]	Loss: 0.1266	LR: 0.004000
Training Epoch: 32 [25344/46200]	Loss: 0.1137	LR: 0.004000
Training Epoch: 32 [25600/46200]	Loss: 0.1651	LR: 0.004000
Training Epoch: 32 [25856/46200]	Loss: 0.1466	LR: 0.004000
Training Epoch: 32 [26112/46200]	Loss: 0.1596	LR: 0.004000
Training Epoch: 32 [26368/46200]	Loss: 0.1047	LR: 0.004000
Training Epoch: 32 [26624/46200]	Loss: 0.1950	LR: 0.004000
Training Epoch: 32 [26880/46200]	Loss: 0.1760	LR: 0.004000
Training Epoch: 32 [27136/46200]	Loss: 0.1768	LR: 0.004000
Training Epoch: 32 [27392/46200]	Loss: 0.1511	LR: 0.004000
Training Epoch: 32 [27648/46200]	Loss: 0.1237	LR: 0.004000
Training Epoch: 32 [27904/46200]	Loss: 0.2026	LR: 0.004000
Training Epoch: 32 [28160/46200]	Loss: 0.1854	LR: 0.004000
Training Epoch: 32 [28416/46200]	Loss: 0.1069	LR: 0.004000
Training Epoch: 32 [28672/46200]	Loss: 0.1662	LR: 0.004000
Training Epoch: 32 [28928/46200]	Loss: 0.1444	LR: 0.004000
Training Epoch: 32 [29184/46200]	Loss: 0.2003	LR: 0.004000
Training Epoch: 32 [29440/46200]	Loss: 0.1823	LR: 0.004000
Training Epoch: 32 [29696/46200]	Loss: 0.1876	LR: 0.004000
Training Epoch: 32 [29952/46200]	Loss: 0.1913	LR: 0.004000
Training Epoch: 32 [30208/46200]	Loss: 0.1485	LR: 0.004000
Training Epoch: 32 [30464/46200]	Loss: 0.1694	LR: 0.004000
Training Epoch: 32 [30720/46200]	Loss: 0.2002	LR: 0.004000
Training Epoch: 32 [30976/46200]	Loss: 0.1539	LR: 0.004000
Training Epoch: 32 [31232/46200]	Loss: 0.1758	LR: 0.004000
Training Epoch: 32 [31488/46200]	Loss: 0.1298	LR: 0.004000
Training Epoch: 32 [31744/46200]	Loss: 0.1562	LR: 0.004000
Training Epoch: 32 [32000/46200]	Loss: 0.1880	LR: 0.004000
Training Epoch: 32 [32256/46200]	Loss: 0.1550	LR: 0.004000
Training Epoch: 32 [32512/46200]	Loss: 0.1260	LR: 0.004000
Training Epoch: 32 [32768/46200]	Loss: 0.1519	LR: 0.004000
Training Epoch: 32 [33024/46200]	Loss: 0.1870	LR: 0.004000
Training Epoch: 32 [33280/46200]	Loss: 0.1666	LR: 0.004000
Training Epoch: 32 [33536/46200]	Loss: 0.1530	LR: 0.004000
Training Epoch: 32 [33792/46200]	Loss: 0.1851	LR: 0.004000
Training Epoch: 32 [34048/46200]	Loss: 0.1935	LR: 0.004000
Training Epoch: 32 [34304/46200]	Loss: 0.1316	LR: 0.004000
Training Epoch: 32 [34560/46200]	Loss: 0.1607	LR: 0.004000
Training Epoch: 32 [34816/46200]	Loss: 0.1948	LR: 0.004000
Training Epoch: 32 [35072/46200]	Loss: 0.1968	LR: 0.004000
Training Epoch: 32 [35328/46200]	Loss: 0.1438	LR: 0.004000
Training Epoch: 32 [35584/46200]	Loss: 0.1411	LR: 0.004000
Training Epoch: 32 [35840/46200]	Loss: 0.1682	LR: 0.004000
Training Epoch: 32 [36096/46200]	Loss: 0.1311	LR: 0.004000
Training Epoch: 32 [36352/46200]	Loss: 0.1965	LR: 0.004000
Training Epoch: 32 [36608/46200]	Loss: 0.1794	LR: 0.004000
Training Epoch: 32 [36864/46200]	Loss: 0.1760	LR: 0.004000
Training Epoch: 32 [37120/46200]	Loss: 0.1599	LR: 0.004000
Training Epoch: 32 [37376/46200]	Loss: 0.1696	LR: 0.004000
Training Epoch: 32 [37632/46200]	Loss: 0.1164	LR: 0.004000
Training Epoch: 32 [37888/46200]	Loss: 0.1503	LR: 0.004000
Training Epoch: 32 [38144/46200]	Loss: 0.1481	LR: 0.004000
Training Epoch: 32 [38400/46200]	Loss: 0.1546	LR: 0.004000
Training Epoch: 32 [38656/46200]	Loss: 0.2065	LR: 0.004000
Training Epoch: 32 [38912/46200]	Loss: 0.1491	LR: 0.004000
Training Epoch: 32 [39168/46200]	Loss: 0.1177	LR: 0.004000
Training Epoch: 32 [39424/46200]	Loss: 0.1319	LR: 0.004000
Training Epoch: 32 [39680/46200]	Loss: 0.1415	LR: 0.004000
Training Epoch: 32 [39936/46200]	Loss: 0.1554	LR: 0.004000
Training Epoch: 32 [40192/46200]	Loss: 0.1945	LR: 0.004000
Training Epoch: 32 [40448/46200]	Loss: 0.1605	LR: 0.004000
Training Epoch: 32 [40704/46200]	Loss: 0.1666	LR: 0.004000
Training Epoch: 32 [40960/46200]	Loss: 0.2436	LR: 0.004000
Training Epoch: 32 [41216/46200]	Loss: 0.1656	LR: 0.004000
Training Epoch: 32 [41472/46200]	Loss: 0.2080	LR: 0.004000
Training Epoch: 32 [41728/46200]	Loss: 0.1646	LR: 0.004000
Training Epoch: 32 [41984/46200]	Loss: 0.2119	LR: 0.004000
Training Epoch: 32 [42240/46200]	Loss: 0.1055	LR: 0.004000
Training Epoch: 32 [42496/46200]	Loss: 0.1918	LR: 0.004000
Training Epoch: 32 [42752/46200]	Loss: 0.1385	LR: 0.004000
Training Epoch: 32 [43008/46200]	Loss: 0.1670	LR: 0.004000
Training Epoch: 32 [43264/46200]	Loss: 0.1511	LR: 0.004000
Training Epoch: 32 [43520/46200]	Loss: 0.1467	LR: 0.004000
Training Epoch: 32 [43776/46200]	Loss: 0.1553	LR: 0.004000
Training Epoch: 32 [44032/46200]	Loss: 0.1506	LR: 0.004000
Training Epoch: 32 [44288/46200]	Loss: 0.2050	LR: 0.004000
Training Epoch: 32 [44544/46200]	Loss: 0.1151	LR: 0.004000
Training Epoch: 32 [44800/46200]	Loss: 0.1837	LR: 0.004000
Training Epoch: 32 [45056/46200]	Loss: 0.1701	LR: 0.004000
Training Epoch: 32 [45312/46200]	Loss: 0.1533	LR: 0.004000
Training Epoch: 32 [45568/46200]	Loss: 0.1306	LR: 0.004000
Training Epoch: 32 [45824/46200]	Loss: 0.2238	LR: 0.004000
Training Epoch: 32 [46080/46200]	Loss: 0.1792	LR: 0.004000
Training Epoch: 32 [46200/46200]	Loss: 0.1177	LR: 0.004000
Epoch 32 - Average Train Loss: 0.1623, Train Accuracy: 0.9499
Epoch 32 training time consumed: 27.81s
Evaluating Network.....
Test set: Epoch: 32, Average loss: 0.0028, Accuracy: 0.8059, Time consumed:0.91s
Training Epoch: 33 [256/46200]	Loss: 0.1445	LR: 0.004000
Training Epoch: 33 [512/46200]	Loss: 0.1411	LR: 0.004000
Training Epoch: 33 [768/46200]	Loss: 0.1547	LR: 0.004000
Training Epoch: 33 [1024/46200]	Loss: 0.1246	LR: 0.004000
Training Epoch: 33 [1280/46200]	Loss: 0.1360	LR: 0.004000
Training Epoch: 33 [1536/46200]	Loss: 0.1862	LR: 0.004000
Training Epoch: 33 [1792/46200]	Loss: 0.1826	LR: 0.004000
Training Epoch: 33 [2048/46200]	Loss: 0.1343	LR: 0.004000
Training Epoch: 33 [2304/46200]	Loss: 0.1412	LR: 0.004000
Training Epoch: 33 [2560/46200]	Loss: 0.1254	LR: 0.004000
Training Epoch: 33 [2816/46200]	Loss: 0.1468	LR: 0.004000
Training Epoch: 33 [3072/46200]	Loss: 0.1524	LR: 0.004000
Training Epoch: 33 [3328/46200]	Loss: 0.1203	LR: 0.004000
Training Epoch: 33 [3584/46200]	Loss: 0.1597	LR: 0.004000
Training Epoch: 33 [3840/46200]	Loss: 0.0940	LR: 0.004000
Training Epoch: 33 [4096/46200]	Loss: 0.1837	LR: 0.004000
Training Epoch: 33 [4352/46200]	Loss: 0.1283	LR: 0.004000
Training Epoch: 33 [4608/46200]	Loss: 0.1523	LR: 0.004000
Training Epoch: 33 [4864/46200]	Loss: 0.0947	LR: 0.004000
Training Epoch: 33 [5120/46200]	Loss: 0.1479	LR: 0.004000
Training Epoch: 33 [5376/46200]	Loss: 0.1752	LR: 0.004000
Training Epoch: 33 [5632/46200]	Loss: 0.1358	LR: 0.004000
Training Epoch: 33 [5888/46200]	Loss: 0.1337	LR: 0.004000
Training Epoch: 33 [6144/46200]	Loss: 0.1771	LR: 0.004000
Training Epoch: 33 [6400/46200]	Loss: 0.1754	LR: 0.004000
Training Epoch: 33 [6656/46200]	Loss: 0.2073	LR: 0.004000
Training Epoch: 33 [6912/46200]	Loss: 0.1526	LR: 0.004000
Training Epoch: 33 [7168/46200]	Loss: 0.1812	LR: 0.004000
Training Epoch: 33 [7424/46200]	Loss: 0.1650	LR: 0.004000
Training Epoch: 33 [7680/46200]	Loss: 0.1741	LR: 0.004000
Training Epoch: 33 [7936/46200]	Loss: 0.1666	LR: 0.004000
Training Epoch: 33 [8192/46200]	Loss: 0.1333	LR: 0.004000
Training Epoch: 33 [8448/46200]	Loss: 0.1496	LR: 0.004000
Training Epoch: 33 [8704/46200]	Loss: 0.1769	LR: 0.004000
Training Epoch: 33 [8960/46200]	Loss: 0.1759	LR: 0.004000
Training Epoch: 33 [9216/46200]	Loss: 0.1324	LR: 0.004000
Training Epoch: 33 [9472/46200]	Loss: 0.1417	LR: 0.004000
Training Epoch: 33 [9728/46200]	Loss: 0.1431	LR: 0.004000
Training Epoch: 33 [9984/46200]	Loss: 0.1536	LR: 0.004000
Training Epoch: 33 [10240/46200]	Loss: 0.1232	LR: 0.004000
Training Epoch: 33 [10496/46200]	Loss: 0.1323	LR: 0.004000
Training Epoch: 33 [10752/46200]	Loss: 0.1384	LR: 0.004000
Training Epoch: 33 [11008/46200]	Loss: 0.1434	LR: 0.004000
Training Epoch: 33 [11264/46200]	Loss: 0.1416	LR: 0.004000
Training Epoch: 33 [11520/46200]	Loss: 0.1955	LR: 0.004000
Training Epoch: 33 [11776/46200]	Loss: 0.1698	LR: 0.004000
Training Epoch: 33 [12032/46200]	Loss: 0.1246	LR: 0.004000
Training Epoch: 33 [12288/46200]	Loss: 0.1511	LR: 0.004000
Training Epoch: 33 [12544/46200]	Loss: 0.1707	LR: 0.004000
Training Epoch: 33 [12800/46200]	Loss: 0.1826	LR: 0.004000
Training Epoch: 33 [13056/46200]	Loss: 0.1094	LR: 0.004000
Training Epoch: 33 [13312/46200]	Loss: 0.1321	LR: 0.004000
Training Epoch: 33 [13568/46200]	Loss: 0.1475	LR: 0.004000
Training Epoch: 33 [13824/46200]	Loss: 0.1881	LR: 0.004000
Training Epoch: 33 [14080/46200]	Loss: 0.1374	LR: 0.004000
Training Epoch: 33 [14336/46200]	Loss: 0.1526	LR: 0.004000
Training Epoch: 33 [14592/46200]	Loss: 0.1565	LR: 0.004000
Training Epoch: 33 [14848/46200]	Loss: 0.1105	LR: 0.004000
Training Epoch: 33 [15104/46200]	Loss: 0.1034	LR: 0.004000
Training Epoch: 33 [15360/46200]	Loss: 0.1434	LR: 0.004000
Training Epoch: 33 [15616/46200]	Loss: 0.1732	LR: 0.004000
Training Epoch: 33 [15872/46200]	Loss: 0.1637	LR: 0.004000
Training Epoch: 33 [16128/46200]	Loss: 0.1624	LR: 0.004000
Training Epoch: 33 [16384/46200]	Loss: 0.1921	LR: 0.004000
Training Epoch: 33 [16640/46200]	Loss: 0.2049	LR: 0.004000
Training Epoch: 33 [16896/46200]	Loss: 0.1776	LR: 0.004000
Training Epoch: 33 [17152/46200]	Loss: 0.1166	LR: 0.004000
Training Epoch: 33 [17408/46200]	Loss: 0.1674	LR: 0.004000
Training Epoch: 33 [17664/46200]	Loss: 0.1445	LR: 0.004000
Training Epoch: 33 [17920/46200]	Loss: 0.1533	LR: 0.004000
Training Epoch: 33 [18176/46200]	Loss: 0.1441	LR: 0.004000
Training Epoch: 33 [18432/46200]	Loss: 0.1955	LR: 0.004000
Training Epoch: 33 [18688/46200]	Loss: 0.1246	LR: 0.004000
Training Epoch: 33 [18944/46200]	Loss: 0.1301	LR: 0.004000
Training Epoch: 33 [19200/46200]	Loss: 0.1499	LR: 0.004000
Training Epoch: 33 [19456/46200]	Loss: 0.1191	LR: 0.004000
Training Epoch: 33 [19712/46200]	Loss: 0.1290	LR: 0.004000
Training Epoch: 33 [19968/46200]	Loss: 0.1129	LR: 0.004000
Training Epoch: 33 [20224/46200]	Loss: 0.1765	LR: 0.004000
Training Epoch: 33 [20480/46200]	Loss: 0.1359	LR: 0.004000
Training Epoch: 33 [20736/46200]	Loss: 0.1545	LR: 0.004000
Training Epoch: 33 [20992/46200]	Loss: 0.1344	LR: 0.004000
Training Epoch: 33 [21248/46200]	Loss: 0.1852	LR: 0.004000
Training Epoch: 33 [21504/46200]	Loss: 0.1824	LR: 0.004000
Training Epoch: 33 [21760/46200]	Loss: 0.1870	LR: 0.004000
Training Epoch: 33 [22016/46200]	Loss: 0.1852	LR: 0.004000
Training Epoch: 33 [22272/46200]	Loss: 0.1469	LR: 0.004000
Training Epoch: 33 [22528/46200]	Loss: 0.1435	LR: 0.004000
Training Epoch: 33 [22784/46200]	Loss: 0.1767	LR: 0.004000
Training Epoch: 33 [23040/46200]	Loss: 0.1379	LR: 0.004000
Training Epoch: 33 [23296/46200]	Loss: 0.1562	LR: 0.004000
Training Epoch: 33 [23552/46200]	Loss: 0.1528	LR: 0.004000
Training Epoch: 33 [23808/46200]	Loss: 0.1732	LR: 0.004000
Training Epoch: 33 [24064/46200]	Loss: 0.1264	LR: 0.004000
Training Epoch: 33 [24320/46200]	Loss: 0.1980	LR: 0.004000
Training Epoch: 33 [24576/46200]	Loss: 0.1472	LR: 0.004000
Training Epoch: 33 [24832/46200]	Loss: 0.1105	LR: 0.004000
Training Epoch: 33 [25088/46200]	Loss: 0.1913	LR: 0.004000
Training Epoch: 33 [25344/46200]	Loss: 0.1716	LR: 0.004000
Training Epoch: 33 [25600/46200]	Loss: 0.1322	LR: 0.004000
Training Epoch: 33 [25856/46200]	Loss: 0.1416	LR: 0.004000
Training Epoch: 33 [26112/46200]	Loss: 0.1599	LR: 0.004000
Training Epoch: 33 [26368/46200]	Loss: 0.1628	LR: 0.004000
Training Epoch: 33 [26624/46200]	Loss: 0.1243	LR: 0.004000
Training Epoch: 33 [26880/46200]	Loss: 0.1747	LR: 0.004000
Training Epoch: 33 [27136/46200]	Loss: 0.1596	LR: 0.004000
Training Epoch: 33 [27392/46200]	Loss: 0.1800	LR: 0.004000
Training Epoch: 33 [27648/46200]	Loss: 0.1422	LR: 0.004000
Training Epoch: 33 [27904/46200]	Loss: 0.1796	LR: 0.004000
Training Epoch: 33 [28160/46200]	Loss: 0.1411	LR: 0.004000
Training Epoch: 33 [28416/46200]	Loss: 0.1188	LR: 0.004000
Training Epoch: 33 [28672/46200]	Loss: 0.1175	LR: 0.004000
Training Epoch: 33 [28928/46200]	Loss: 0.1410	LR: 0.004000
Training Epoch: 33 [29184/46200]	Loss: 0.1599	LR: 0.004000
Training Epoch: 33 [29440/46200]	Loss: 0.1692	LR: 0.004000
Training Epoch: 33 [29696/46200]	Loss: 0.1410	LR: 0.004000
Training Epoch: 33 [29952/46200]	Loss: 0.1926	LR: 0.004000
Training Epoch: 33 [30208/46200]	Loss: 0.1453	LR: 0.004000
Training Epoch: 33 [30464/46200]	Loss: 0.1017	LR: 0.004000
Training Epoch: 33 [30720/46200]	Loss: 0.2085	LR: 0.004000
Training Epoch: 33 [30976/46200]	Loss: 0.1144	LR: 0.004000
Training Epoch: 33 [31232/46200]	Loss: 0.1416	LR: 0.004000
Training Epoch: 33 [31488/46200]	Loss: 0.1411	LR: 0.004000
Training Epoch: 33 [31744/46200]	Loss: 0.1593	LR: 0.004000
Training Epoch: 33 [32000/46200]	Loss: 0.1811	LR: 0.004000
Training Epoch: 33 [32256/46200]	Loss: 0.1282	LR: 0.004000
Training Epoch: 33 [32512/46200]	Loss: 0.0956	LR: 0.004000
Training Epoch: 33 [32768/46200]	Loss: 0.1612	LR: 0.004000
Training Epoch: 33 [33024/46200]	Loss: 0.1911	LR: 0.004000
Training Epoch: 33 [33280/46200]	Loss: 0.1429	LR: 0.004000
Training Epoch: 33 [33536/46200]	Loss: 0.1640	LR: 0.004000
Training Epoch: 33 [33792/46200]	Loss: 0.1261	LR: 0.004000
Training Epoch: 33 [34048/46200]	Loss: 0.1154	LR: 0.004000
Training Epoch: 33 [34304/46200]	Loss: 0.1904	LR: 0.004000
Training Epoch: 33 [34560/46200]	Loss: 0.1807	LR: 0.004000
Training Epoch: 33 [34816/46200]	Loss: 0.1302	LR: 0.004000
Training Epoch: 33 [35072/46200]	Loss: 0.1403	LR: 0.004000
Training Epoch: 33 [35328/46200]	Loss: 0.1505	LR: 0.004000
Training Epoch: 33 [35584/46200]	Loss: 0.2072	LR: 0.004000
Training Epoch: 33 [35840/46200]	Loss: 0.1635	LR: 0.004000
Training Epoch: 33 [36096/46200]	Loss: 0.1412	LR: 0.004000
Training Epoch: 33 [36352/46200]	Loss: 0.1538	LR: 0.004000
Training Epoch: 33 [36608/46200]	Loss: 0.1550	LR: 0.004000
Training Epoch: 33 [36864/46200]	Loss: 0.1877	LR: 0.004000
Training Epoch: 33 [37120/46200]	Loss: 0.1601	LR: 0.004000
Training Epoch: 33 [37376/46200]	Loss: 0.1496	LR: 0.004000
Training Epoch: 33 [37632/46200]	Loss: 0.1851	LR: 0.004000
Training Epoch: 33 [37888/46200]	Loss: 0.1572	LR: 0.004000
Training Epoch: 33 [38144/46200]	Loss: 0.1680	LR: 0.004000
Training Epoch: 33 [38400/46200]	Loss: 0.2226	LR: 0.004000
Training Epoch: 33 [38656/46200]	Loss: 0.1559	LR: 0.004000
Training Epoch: 33 [38912/46200]	Loss: 0.1401	LR: 0.004000
Training Epoch: 33 [39168/46200]	Loss: 0.1230	LR: 0.004000
Training Epoch: 33 [39424/46200]	Loss: 0.1631	LR: 0.004000
Training Epoch: 33 [39680/46200]	Loss: 0.1703	LR: 0.004000
Training Epoch: 33 [39936/46200]	Loss: 0.1614	LR: 0.004000
Training Epoch: 33 [40192/46200]	Loss: 0.1277	LR: 0.004000
Training Epoch: 33 [40448/46200]	Loss: 0.1216	LR: 0.004000
Training Epoch: 33 [40704/46200]	Loss: 0.2046	LR: 0.004000
Training Epoch: 33 [40960/46200]	Loss: 0.1678	LR: 0.004000
Training Epoch: 33 [41216/46200]	Loss: 0.1366	LR: 0.004000
Training Epoch: 33 [41472/46200]	Loss: 0.1425	LR: 0.004000
Training Epoch: 33 [41728/46200]	Loss: 0.1120	LR: 0.004000
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Training Epoch: 33 [42240/46200]	Loss: 0.1656	LR: 0.004000
Training Epoch: 33 [42496/46200]	Loss: 0.1471	LR: 0.004000
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Training Epoch: 33 [43008/46200]	Loss: 0.1591	LR: 0.004000
Training Epoch: 33 [43264/46200]	Loss: 0.1210	LR: 0.004000
Training Epoch: 33 [43520/46200]	Loss: 0.1598	LR: 0.004000
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Training Epoch: 33 [44544/46200]	Loss: 0.1978	LR: 0.004000
Training Epoch: 33 [44800/46200]	Loss: 0.1183	LR: 0.004000
Training Epoch: 33 [45056/46200]	Loss: 0.1198	LR: 0.004000
Training Epoch: 33 [45312/46200]	Loss: 0.1437	LR: 0.004000
Training Epoch: 33 [45568/46200]	Loss: 0.1444	LR: 0.004000
Training Epoch: 33 [45824/46200]	Loss: 0.1346	LR: 0.004000
Training Epoch: 33 [46080/46200]	Loss: 0.1250	LR: 0.004000
Training Epoch: 33 [46200/46200]	Loss: 0.1213	LR: 0.004000
Epoch 33 - Average Train Loss: 0.1519, Train Accuracy: 0.9535
Epoch 33 training time consumed: 27.65s
Evaluating Network.....
Test set: Epoch: 33, Average loss: 0.0028, Accuracy: 0.8054, Time consumed:0.89s
Training Epoch: 34 [256/46200]	Loss: 0.1614	LR: 0.004000
Training Epoch: 34 [512/46200]	Loss: 0.1678	LR: 0.004000
Training Epoch: 34 [768/46200]	Loss: 0.1639	LR: 0.004000
Training Epoch: 34 [1024/46200]	Loss: 0.1185	LR: 0.004000
Training Epoch: 34 [1280/46200]	Loss: 0.0967	LR: 0.004000
Training Epoch: 34 [1536/46200]	Loss: 0.1323	LR: 0.004000
Training Epoch: 34 [1792/46200]	Loss: 0.1864	LR: 0.004000
Training Epoch: 34 [2048/46200]	Loss: 0.1057	LR: 0.004000
Training Epoch: 34 [2304/46200]	Loss: 0.1729	LR: 0.004000
Training Epoch: 34 [2560/46200]	Loss: 0.1224	LR: 0.004000
Training Epoch: 34 [2816/46200]	Loss: 0.1282	LR: 0.004000
Training Epoch: 34 [3072/46200]	Loss: 0.1711	LR: 0.004000
Training Epoch: 34 [3328/46200]	Loss: 0.1477	LR: 0.004000
Training Epoch: 34 [3584/46200]	Loss: 0.1325	LR: 0.004000
Training Epoch: 34 [3840/46200]	Loss: 0.1522	LR: 0.004000
Training Epoch: 34 [4096/46200]	Loss: 0.1257	LR: 0.004000
Training Epoch: 34 [4352/46200]	Loss: 0.1359	LR: 0.004000
Training Epoch: 34 [4608/46200]	Loss: 0.1376	LR: 0.004000
Training Epoch: 34 [4864/46200]	Loss: 0.1365	LR: 0.004000
Training Epoch: 34 [5120/46200]	Loss: 0.1435	LR: 0.004000
Training Epoch: 34 [5376/46200]	Loss: 0.1491	LR: 0.004000
Training Epoch: 34 [5632/46200]	Loss: 0.1683	LR: 0.004000
Training Epoch: 34 [5888/46200]	Loss: 0.1182	LR: 0.004000
Training Epoch: 34 [6144/46200]	Loss: 0.1109	LR: 0.004000
Training Epoch: 34 [6400/46200]	Loss: 0.0957	LR: 0.004000
Training Epoch: 34 [6656/46200]	Loss: 0.1466	LR: 0.004000
Training Epoch: 34 [6912/46200]	Loss: 0.1556	LR: 0.004000
Training Epoch: 34 [7168/46200]	Loss: 0.1022	LR: 0.004000
Training Epoch: 34 [7424/46200]	Loss: 0.1604	LR: 0.004000
Training Epoch: 34 [7680/46200]	Loss: 0.1741	LR: 0.004000
Training Epoch: 34 [7936/46200]	Loss: 0.1381	LR: 0.004000
Training Epoch: 34 [8192/46200]	Loss: 0.1287	LR: 0.004000
Training Epoch: 34 [8448/46200]	Loss: 0.1165	LR: 0.004000
Training Epoch: 34 [8704/46200]	Loss: 0.1316	LR: 0.004000
Training Epoch: 34 [8960/46200]	Loss: 0.1527	LR: 0.004000
Training Epoch: 34 [9216/46200]	Loss: 0.1215	LR: 0.004000
Training Epoch: 34 [9472/46200]	Loss: 0.1265	LR: 0.004000
Training Epoch: 34 [9728/46200]	Loss: 0.1281	LR: 0.004000
Training Epoch: 34 [9984/46200]	Loss: 0.1316	LR: 0.004000
Training Epoch: 34 [10240/46200]	Loss: 0.1486	LR: 0.004000
Training Epoch: 34 [10496/46200]	Loss: 0.1294	LR: 0.004000
Training Epoch: 34 [10752/46200]	Loss: 0.1776	LR: 0.004000
Training Epoch: 34 [11008/46200]	Loss: 0.1192	LR: 0.004000
Training Epoch: 34 [11264/46200]	Loss: 0.2084	LR: 0.004000
Training Epoch: 34 [11520/46200]	Loss: 0.1494	LR: 0.004000
Training Epoch: 34 [11776/46200]	Loss: 0.1790	LR: 0.004000
Training Epoch: 34 [12032/46200]	Loss: 0.1371	LR: 0.004000
Training Epoch: 34 [12288/46200]	Loss: 0.1387	LR: 0.004000
Training Epoch: 34 [12544/46200]	Loss: 0.1128	LR: 0.004000
Training Epoch: 34 [12800/46200]	Loss: 0.1410	LR: 0.004000
Training Epoch: 34 [13056/46200]	Loss: 0.1358	LR: 0.004000
Training Epoch: 34 [13312/46200]	Loss: 0.1134	LR: 0.004000
Training Epoch: 34 [13568/46200]	Loss: 0.1241	LR: 0.004000
Training Epoch: 34 [13824/46200]	Loss: 0.1306	LR: 0.004000
Training Epoch: 34 [14080/46200]	Loss: 0.1685	LR: 0.004000
Training Epoch: 34 [14336/46200]	Loss: 0.1382	LR: 0.004000
Training Epoch: 34 [14592/46200]	Loss: 0.1174	LR: 0.004000
Training Epoch: 34 [14848/46200]	Loss: 0.1185	LR: 0.004000
Training Epoch: 34 [15104/46200]	Loss: 0.1430	LR: 0.004000
Training Epoch: 34 [15360/46200]	Loss: 0.2122	LR: 0.004000
Training Epoch: 34 [15616/46200]	Loss: 0.1960	LR: 0.004000
Training Epoch: 34 [15872/46200]	Loss: 0.1462	LR: 0.004000
Training Epoch: 34 [16128/46200]	Loss: 0.1798	LR: 0.004000
Training Epoch: 34 [16384/46200]	Loss: 0.1387	LR: 0.004000
Training Epoch: 34 [16640/46200]	Loss: 0.1316	LR: 0.004000
Training Epoch: 34 [16896/46200]	Loss: 0.1418	LR: 0.004000
Training Epoch: 34 [17152/46200]	Loss: 0.1410	LR: 0.004000
Training Epoch: 34 [17408/46200]	Loss: 0.1216	LR: 0.004000
Training Epoch: 34 [17664/46200]	Loss: 0.1293	LR: 0.004000
Training Epoch: 34 [17920/46200]	Loss: 0.1043	LR: 0.004000
Training Epoch: 34 [18176/46200]	Loss: 0.1125	LR: 0.004000
Training Epoch: 34 [18432/46200]	Loss: 0.1566	LR: 0.004000
Training Epoch: 34 [18688/46200]	Loss: 0.1138	LR: 0.004000
Training Epoch: 34 [18944/46200]	Loss: 0.1179	LR: 0.004000
Training Epoch: 34 [19200/46200]	Loss: 0.1249	LR: 0.004000
Training Epoch: 34 [19456/46200]	Loss: 0.1582	LR: 0.004000
Training Epoch: 34 [19712/46200]	Loss: 0.0955	LR: 0.004000
Training Epoch: 34 [19968/46200]	Loss: 0.1296	LR: 0.004000
Training Epoch: 34 [20224/46200]	Loss: 0.1169	LR: 0.004000
Training Epoch: 34 [20480/46200]	Loss: 0.1224	LR: 0.004000
Training Epoch: 34 [20736/46200]	Loss: 0.1208	LR: 0.004000
Training Epoch: 34 [20992/46200]	Loss: 0.1924	LR: 0.004000
Training Epoch: 34 [21248/46200]	Loss: 0.1633	LR: 0.004000
Training Epoch: 34 [21504/46200]	Loss: 0.1663	LR: 0.004000
Training Epoch: 34 [21760/46200]	Loss: 0.1571	LR: 0.004000
Training Epoch: 34 [22016/46200]	Loss: 0.1575	LR: 0.004000
Training Epoch: 34 [22272/46200]	Loss: 0.1315	LR: 0.004000
Training Epoch: 34 [22528/46200]	Loss: 0.1405	LR: 0.004000
Training Epoch: 34 [22784/46200]	Loss: 0.0936	LR: 0.004000
Training Epoch: 34 [23040/46200]	Loss: 0.1430	LR: 0.004000
Training Epoch: 34 [23296/46200]	Loss: 0.1172	LR: 0.004000
Training Epoch: 34 [23552/46200]	Loss: 0.1125	LR: 0.004000
Training Epoch: 34 [23808/46200]	Loss: 0.1533	LR: 0.004000
Training Epoch: 34 [24064/46200]	Loss: 0.1705	LR: 0.004000
Training Epoch: 34 [24320/46200]	Loss: 0.1182	LR: 0.004000
Training Epoch: 34 [24576/46200]	Loss: 0.1497	LR: 0.004000
Training Epoch: 34 [24832/46200]	Loss: 0.1292	LR: 0.004000
Training Epoch: 34 [25088/46200]	Loss: 0.1017	LR: 0.004000
Training Epoch: 34 [25344/46200]	Loss: 0.1492	LR: 0.004000
Training Epoch: 34 [25600/46200]	Loss: 0.1836	LR: 0.004000
Training Epoch: 34 [25856/46200]	Loss: 0.1202	LR: 0.004000
Training Epoch: 34 [26112/46200]	Loss: 0.1423	LR: 0.004000
Training Epoch: 34 [26368/46200]	Loss: 0.1172	LR: 0.004000
Training Epoch: 34 [26624/46200]	Loss: 0.1564	LR: 0.004000
Training Epoch: 34 [26880/46200]	Loss: 0.2010	LR: 0.004000
Training Epoch: 34 [27136/46200]	Loss: 0.1333	LR: 0.004000
Training Epoch: 34 [27392/46200]	Loss: 0.1613	LR: 0.004000
Training Epoch: 34 [27648/46200]	Loss: 0.1615	LR: 0.004000
Training Epoch: 34 [27904/46200]	Loss: 0.1283	LR: 0.004000
Training Epoch: 34 [28160/46200]	Loss: 0.1766	LR: 0.004000
Training Epoch: 34 [28416/46200]	Loss: 0.1186	LR: 0.004000
Training Epoch: 34 [28672/46200]	Loss: 0.1318	LR: 0.004000
Training Epoch: 34 [28928/46200]	Loss: 0.1774	LR: 0.004000
Training Epoch: 34 [29184/46200]	Loss: 0.1307	LR: 0.004000
Training Epoch: 34 [29440/46200]	Loss: 0.0950	LR: 0.004000
Training Epoch: 34 [29696/46200]	Loss: 0.1488	LR: 0.004000
Training Epoch: 34 [29952/46200]	Loss: 0.1871	LR: 0.004000
Training Epoch: 34 [30208/46200]	Loss: 0.1532	LR: 0.004000
Training Epoch: 34 [30464/46200]	Loss: 0.1366	LR: 0.004000
Training Epoch: 34 [30720/46200]	Loss: 0.1292	LR: 0.004000
Training Epoch: 34 [30976/46200]	Loss: 0.1473	LR: 0.004000
Training Epoch: 34 [31232/46200]	Loss: 0.1100	LR: 0.004000
Training Epoch: 34 [31488/46200]	Loss: 0.1301	LR: 0.004000
Training Epoch: 34 [31744/46200]	Loss: 0.1521	LR: 0.004000
Training Epoch: 34 [32000/46200]	Loss: 0.1691	LR: 0.004000
Training Epoch: 34 [32256/46200]	Loss: 0.1795	LR: 0.004000
Training Epoch: 34 [32512/46200]	Loss: 0.1445	LR: 0.004000
Training Epoch: 34 [32768/46200]	Loss: 0.1144	LR: 0.004000
Training Epoch: 34 [33024/46200]	Loss: 0.1575	LR: 0.004000
Training Epoch: 34 [33280/46200]	Loss: 0.1046	LR: 0.004000
Training Epoch: 34 [33536/46200]	Loss: 0.1402	LR: 0.004000
Training Epoch: 34 [33792/46200]	Loss: 0.1494	LR: 0.004000
Training Epoch: 34 [34048/46200]	Loss: 0.1768	LR: 0.004000
Training Epoch: 34 [34304/46200]	Loss: 0.1349	LR: 0.004000
Training Epoch: 34 [34560/46200]	Loss: 0.1979	LR: 0.004000
Training Epoch: 34 [34816/46200]	Loss: 0.1461	LR: 0.004000
Training Epoch: 34 [35072/46200]	Loss: 0.1686	LR: 0.004000
Training Epoch: 34 [35328/46200]	Loss: 0.1273	LR: 0.004000
Training Epoch: 34 [35584/46200]	Loss: 0.1364	LR: 0.004000
Training Epoch: 34 [35840/46200]	Loss: 0.1517	LR: 0.004000
Training Epoch: 34 [36096/46200]	Loss: 0.1628	LR: 0.004000
Training Epoch: 34 [36352/46200]	Loss: 0.1306	LR: 0.004000
Training Epoch: 34 [36608/46200]	Loss: 0.1743	LR: 0.004000
Training Epoch: 34 [36864/46200]	Loss: 0.0912	LR: 0.004000
Training Epoch: 34 [37120/46200]	Loss: 0.1392	LR: 0.004000
Training Epoch: 34 [37376/46200]	Loss: 0.1284	LR: 0.004000
Training Epoch: 34 [37632/46200]	Loss: 0.1666	LR: 0.004000
Training Epoch: 34 [37888/46200]	Loss: 0.1268	LR: 0.004000
Training Epoch: 34 [38144/46200]	Loss: 0.1213	LR: 0.004000
Training Epoch: 34 [38400/46200]	Loss: 0.1961	LR: 0.004000
Training Epoch: 34 [38656/46200]	Loss: 0.0866	LR: 0.004000
Training Epoch: 34 [38912/46200]	Loss: 0.1141	LR: 0.004000
Training Epoch: 34 [39168/46200]	Loss: 0.1842	LR: 0.004000
Training Epoch: 34 [39424/46200]	Loss: 0.1282	LR: 0.004000
Training Epoch: 34 [39680/46200]	Loss: 0.1500	LR: 0.004000
Training Epoch: 34 [39936/46200]	Loss: 0.1119	LR: 0.004000
Training Epoch: 34 [40192/46200]	Loss: 0.1365	LR: 0.004000
Training Epoch: 34 [40448/46200]	Loss: 0.1051	LR: 0.004000
Training Epoch: 34 [40704/46200]	Loss: 0.1452	LR: 0.004000
Training Epoch: 34 [40960/46200]	Loss: 0.1550	LR: 0.004000
Training Epoch: 34 [41216/46200]	Loss: 0.1613	LR: 0.004000
Training Epoch: 34 [41472/46200]	Loss: 0.1635	LR: 0.004000
Training Epoch: 34 [41728/46200]	Loss: 0.1291	LR: 0.004000
Training Epoch: 34 [41984/46200]	Loss: 0.1777	LR: 0.004000
Training Epoch: 34 [42240/46200]	Loss: 0.1576	LR: 0.004000
Training Epoch: 34 [42496/46200]	Loss: 0.1402	LR: 0.004000
Training Epoch: 34 [42752/46200]	Loss: 0.1716	LR: 0.004000
Training Epoch: 34 [43008/46200]	Loss: 0.1382	LR: 0.004000
Training Epoch: 34 [43264/46200]	Loss: 0.1620	LR: 0.004000
Training Epoch: 34 [43520/46200]	Loss: 0.1323	LR: 0.004000
Training Epoch: 34 [43776/46200]	Loss: 0.1191	LR: 0.004000
Training Epoch: 34 [44032/46200]	Loss: 0.1376	LR: 0.004000
Training Epoch: 34 [44288/46200]	Loss: 0.1374	LR: 0.004000
Training Epoch: 34 [44544/46200]	Loss: 0.1491	LR: 0.004000
Training Epoch: 34 [44800/46200]	Loss: 0.1444	LR: 0.004000
Training Epoch: 34 [45056/46200]	Loss: 0.1704	LR: 0.004000
Training Epoch: 34 [45312/46200]	Loss: 0.1849	LR: 0.004000
Training Epoch: 34 [45568/46200]	Loss: 0.1432	LR: 0.004000
Training Epoch: 34 [45824/46200]	Loss: 0.1339	LR: 0.004000
Training Epoch: 34 [46080/46200]	Loss: 0.1194	LR: 0.004000
Training Epoch: 34 [46200/46200]	Loss: 0.1079	LR: 0.004000
Epoch 34 - Average Train Loss: 0.1418, Train Accuracy: 0.9569
Epoch 34 training time consumed: 27.69s
Evaluating Network.....
Test set: Epoch: 34, Average loss: 0.0029, Accuracy: 0.8055, Time consumed:0.89s
Training Epoch: 35 [256/46200]	Loss: 0.1686	LR: 0.000800
Training Epoch: 35 [512/46200]	Loss: 0.1232	LR: 0.000800
Training Epoch: 35 [768/46200]	Loss: 0.1195	LR: 0.000800
Training Epoch: 35 [1024/46200]	Loss: 0.1451	LR: 0.000800
Training Epoch: 35 [1280/46200]	Loss: 0.1109	LR: 0.000800
Training Epoch: 35 [1536/46200]	Loss: 0.1312	LR: 0.000800
Training Epoch: 35 [1792/46200]	Loss: 0.0965	LR: 0.000800
Training Epoch: 35 [2048/46200]	Loss: 0.1207	LR: 0.000800
Training Epoch: 35 [2304/46200]	Loss: 0.1480	LR: 0.000800
Training Epoch: 35 [2560/46200]	Loss: 0.1540	LR: 0.000800
Training Epoch: 35 [2816/46200]	Loss: 0.1501	LR: 0.000800
Training Epoch: 35 [3072/46200]	Loss: 0.1632	LR: 0.000800
Training Epoch: 35 [3328/46200]	Loss: 0.1431	LR: 0.000800
Training Epoch: 35 [3584/46200]	Loss: 0.1113	LR: 0.000800
Training Epoch: 35 [3840/46200]	Loss: 0.1357	LR: 0.000800
Training Epoch: 35 [4096/46200]	Loss: 0.1387	LR: 0.000800
Training Epoch: 35 [4352/46200]	Loss: 0.0801	LR: 0.000800
Training Epoch: 35 [4608/46200]	Loss: 0.1277	LR: 0.000800
Training Epoch: 35 [4864/46200]	Loss: 0.1203	LR: 0.000800
Training Epoch: 35 [5120/46200]	Loss: 0.1360	LR: 0.000800
Training Epoch: 35 [5376/46200]	Loss: 0.1297	LR: 0.000800
Training Epoch: 35 [5632/46200]	Loss: 0.1117	LR: 0.000800
Training Epoch: 35 [5888/46200]	Loss: 0.1381	LR: 0.000800
Training Epoch: 35 [6144/46200]	Loss: 0.1035	LR: 0.000800
Training Epoch: 35 [6400/46200]	Loss: 0.1125	LR: 0.000800
Training Epoch: 35 [6656/46200]	Loss: 0.1465	LR: 0.000800
Training Epoch: 35 [6912/46200]	Loss: 0.0822	LR: 0.000800
Training Epoch: 35 [7168/46200]	Loss: 0.1038	LR: 0.000800
Training Epoch: 35 [7424/46200]	Loss: 0.1266	LR: 0.000800
Training Epoch: 35 [7680/46200]	Loss: 0.0992	LR: 0.000800
Training Epoch: 35 [7936/46200]	Loss: 0.1155	LR: 0.000800
Training Epoch: 35 [8192/46200]	Loss: 0.1196	LR: 0.000800
Training Epoch: 35 [8448/46200]	Loss: 0.1127	LR: 0.000800
Training Epoch: 35 [8704/46200]	Loss: 0.1161	LR: 0.000800
Training Epoch: 35 [8960/46200]	Loss: 0.1319	LR: 0.000800
Training Epoch: 35 [9216/46200]	Loss: 0.1182	LR: 0.000800
Training Epoch: 35 [9472/46200]	Loss: 0.1103	LR: 0.000800
Training Epoch: 35 [9728/46200]	Loss: 0.1415	LR: 0.000800
Training Epoch: 35 [9984/46200]	Loss: 0.1135	LR: 0.000800
Training Epoch: 35 [10240/46200]	Loss: 0.1679	LR: 0.000800
Training Epoch: 35 [10496/46200]	Loss: 0.0908	LR: 0.000800
Training Epoch: 35 [10752/46200]	Loss: 0.1644	LR: 0.000800
Training Epoch: 35 [11008/46200]	Loss: 0.1472	LR: 0.000800
Training Epoch: 35 [11264/46200]	Loss: 0.1423	LR: 0.000800
Training Epoch: 35 [11520/46200]	Loss: 0.1235	LR: 0.000800
Training Epoch: 35 [11776/46200]	Loss: 0.1321	LR: 0.000800
Training Epoch: 35 [12032/46200]	Loss: 0.0768	LR: 0.000800
Training Epoch: 35 [12288/46200]	Loss: 0.1376	LR: 0.000800
Training Epoch: 35 [12544/46200]	Loss: 0.1171	LR: 0.000800
Training Epoch: 35 [12800/46200]	Loss: 0.1151	LR: 0.000800
Training Epoch: 35 [13056/46200]	Loss: 0.1295	LR: 0.000800
Training Epoch: 35 [13312/46200]	Loss: 0.1486	LR: 0.000800
Training Epoch: 35 [13568/46200]	Loss: 0.0989	LR: 0.000800
Training Epoch: 35 [13824/46200]	Loss: 0.1141	LR: 0.000800
Training Epoch: 35 [14080/46200]	Loss: 0.1326	LR: 0.000800
Training Epoch: 35 [14336/46200]	Loss: 0.1277	LR: 0.000800
Training Epoch: 35 [14592/46200]	Loss: 0.1151	LR: 0.000800
Training Epoch: 35 [14848/46200]	Loss: 0.1020	LR: 0.000800
Training Epoch: 35 [15104/46200]	Loss: 0.1403	LR: 0.000800
Training Epoch: 35 [15360/46200]	Loss: 0.1063	LR: 0.000800
Training Epoch: 35 [15616/46200]	Loss: 0.1051	LR: 0.000800
Training Epoch: 35 [15872/46200]	Loss: 0.0977	LR: 0.000800
Training Epoch: 35 [16128/46200]	Loss: 0.1239	LR: 0.000800
Training Epoch: 35 [16384/46200]	Loss: 0.1329	LR: 0.000800
Training Epoch: 35 [16640/46200]	Loss: 0.1501	LR: 0.000800
Training Epoch: 35 [16896/46200]	Loss: 0.1005	LR: 0.000800
Training Epoch: 35 [17152/46200]	Loss: 0.1482	LR: 0.000800
Training Epoch: 35 [17408/46200]	Loss: 0.1064	LR: 0.000800
Training Epoch: 35 [17664/46200]	Loss: 0.1755	LR: 0.000800
Training Epoch: 35 [17920/46200]	Loss: 0.1290	LR: 0.000800
Training Epoch: 35 [18176/46200]	Loss: 0.1176	LR: 0.000800
Training Epoch: 35 [18432/46200]	Loss: 0.1151	LR: 0.000800
Training Epoch: 35 [18688/46200]	Loss: 0.1123	LR: 0.000800
Training Epoch: 35 [18944/46200]	Loss: 0.1031	LR: 0.000800
Training Epoch: 35 [19200/46200]	Loss: 0.1153	LR: 0.000800
Training Epoch: 35 [19456/46200]	Loss: 0.0936	LR: 0.000800
Training Epoch: 35 [19712/46200]	Loss: 0.1237	LR: 0.000800
Training Epoch: 35 [19968/46200]	Loss: 0.0859	LR: 0.000800
Training Epoch: 35 [20224/46200]	Loss: 0.1330	LR: 0.000800
Training Epoch: 35 [20480/46200]	Loss: 0.1240	LR: 0.000800
Training Epoch: 35 [20736/46200]	Loss: 0.0965	LR: 0.000800
Training Epoch: 35 [20992/46200]	Loss: 0.1205	LR: 0.000800
Training Epoch: 35 [21248/46200]	Loss: 0.1490	LR: 0.000800
Training Epoch: 35 [21504/46200]	Loss: 0.1332	LR: 0.000800
Training Epoch: 35 [21760/46200]	Loss: 0.1340	LR: 0.000800
Training Epoch: 35 [22016/46200]	Loss: 0.1157	LR: 0.000800
Training Epoch: 35 [22272/46200]	Loss: 0.1776	LR: 0.000800
Training Epoch: 35 [22528/46200]	Loss: 0.1192	LR: 0.000800
Training Epoch: 35 [22784/46200]	Loss: 0.0720	LR: 0.000800
Training Epoch: 35 [23040/46200]	Loss: 0.0954	LR: 0.000800
Training Epoch: 35 [23296/46200]	Loss: 0.1334	LR: 0.000800
Training Epoch: 35 [23552/46200]	Loss: 0.0895	LR: 0.000800
Training Epoch: 35 [23808/46200]	Loss: 0.1887	LR: 0.000800
Training Epoch: 35 [24064/46200]	Loss: 0.1318	LR: 0.000800
Training Epoch: 35 [24320/46200]	Loss: 0.1032	LR: 0.000800
Training Epoch: 35 [24576/46200]	Loss: 0.0799	LR: 0.000800
Training Epoch: 35 [24832/46200]	Loss: 0.1196	LR: 0.000800
Training Epoch: 35 [25088/46200]	Loss: 0.1241	LR: 0.000800
Training Epoch: 35 [25344/46200]	Loss: 0.1428	LR: 0.000800
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Training Epoch: 35 [37888/46200]	Loss: 0.1143	LR: 0.000800
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Training Epoch: 35 [40448/46200]	Loss: 0.1139	LR: 0.000800
Training Epoch: 35 [40704/46200]	Loss: 0.0934	LR: 0.000800
Training Epoch: 35 [40960/46200]	Loss: 0.1272	LR: 0.000800
Training Epoch: 35 [41216/46200]	Loss: 0.1009	LR: 0.000800
Training Epoch: 35 [41472/46200]	Loss: 0.1385	LR: 0.000800
Training Epoch: 35 [41728/46200]	Loss: 0.1270	LR: 0.000800
Training Epoch: 35 [41984/46200]	Loss: 0.1538	LR: 0.000800
Training Epoch: 35 [42240/46200]	Loss: 0.1261	LR: 0.000800
Training Epoch: 35 [42496/46200]	Loss: 0.1176	LR: 0.000800
Training Epoch: 35 [42752/46200]	Loss: 0.1633	LR: 0.000800
Training Epoch: 35 [43008/46200]	Loss: 0.0996	LR: 0.000800
Training Epoch: 35 [43264/46200]	Loss: 0.1008	LR: 0.000800
Training Epoch: 35 [43520/46200]	Loss: 0.1303	LR: 0.000800
Training Epoch: 35 [43776/46200]	Loss: 0.0854	LR: 0.000800
Training Epoch: 35 [44032/46200]	Loss: 0.1068	LR: 0.000800
Training Epoch: 35 [44288/46200]	Loss: 0.1198	LR: 0.000800
Training Epoch: 35 [44544/46200]	Loss: 0.1090	LR: 0.000800
Training Epoch: 35 [44800/46200]	Loss: 0.1395	LR: 0.000800
Training Epoch: 35 [45056/46200]	Loss: 0.1643	LR: 0.000800
Training Epoch: 35 [45312/46200]	Loss: 0.1287	LR: 0.000800
Training Epoch: 35 [45568/46200]	Loss: 0.1274	LR: 0.000800
Training Epoch: 35 [45824/46200]	Loss: 0.1030	LR: 0.000800
Training Epoch: 35 [46080/46200]	Loss: 0.1339	LR: 0.000800
Training Epoch: 35 [46200/46200]	Loss: 0.1152	LR: 0.000800
Epoch 35 - Average Train Loss: 0.1223, Train Accuracy: 0.9639
Epoch 35 training time consumed: 27.63s
Evaluating Network.....
Test set: Epoch: 35, Average loss: 0.0028, Accuracy: 0.8073, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_04h_06m_40s/ResNet18-Cifar20-seed8-ret25-35-best.pth
Training Epoch: 36 [256/46200]	Loss: 0.1406	LR: 0.000800
Training Epoch: 36 [512/46200]	Loss: 0.1184	LR: 0.000800
Training Epoch: 36 [768/46200]	Loss: 0.1391	LR: 0.000800
Training Epoch: 36 [1024/46200]	Loss: 0.1684	LR: 0.000800
Training Epoch: 36 [1280/46200]	Loss: 0.1081	LR: 0.000800
Training Epoch: 36 [1536/46200]	Loss: 0.1396	LR: 0.000800
Training Epoch: 36 [1792/46200]	Loss: 0.1214	LR: 0.000800
Training Epoch: 36 [2048/46200]	Loss: 0.0923	LR: 0.000800
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Training Epoch: 36 [3328/46200]	Loss: 0.0797	LR: 0.000800
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Training Epoch: 36 [4096/46200]	Loss: 0.1802	LR: 0.000800
Training Epoch: 36 [4352/46200]	Loss: 0.0892	LR: 0.000800
Training Epoch: 36 [4608/46200]	Loss: 0.1280	LR: 0.000800
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Training Epoch: 36 [5120/46200]	Loss: 0.1676	LR: 0.000800
Training Epoch: 36 [5376/46200]	Loss: 0.0891	LR: 0.000800
Training Epoch: 36 [5632/46200]	Loss: 0.0797	LR: 0.000800
Training Epoch: 36 [5888/46200]	Loss: 0.1147	LR: 0.000800
Training Epoch: 36 [6144/46200]	Loss: 0.1211	LR: 0.000800
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Training Epoch: 36 [26368/46200]	Loss: 0.1018	LR: 0.000800
Training Epoch: 36 [26624/46200]	Loss: 0.1335	LR: 0.000800
Training Epoch: 36 [26880/46200]	Loss: 0.1391	LR: 0.000800
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Training Epoch: 36 [27392/46200]	Loss: 0.1209	LR: 0.000800
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Training Epoch: 36 [27904/46200]	Loss: 0.1103	LR: 0.000800
Training Epoch: 36 [28160/46200]	Loss: 0.1177	LR: 0.000800
Training Epoch: 36 [28416/46200]	Loss: 0.1011	LR: 0.000800
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Training Epoch: 36 [28928/46200]	Loss: 0.1177	LR: 0.000800
Training Epoch: 36 [29184/46200]	Loss: 0.1189	LR: 0.000800
Training Epoch: 36 [29440/46200]	Loss: 0.1314	LR: 0.000800
Training Epoch: 36 [29696/46200]	Loss: 0.0937	LR: 0.000800
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Training Epoch: 36 [30720/46200]	Loss: 0.1501	LR: 0.000800
Training Epoch: 36 [30976/46200]	Loss: 0.1531	LR: 0.000800
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Training Epoch: 36 [35584/46200]	Loss: 0.0907	LR: 0.000800
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Training Epoch: 36 [36096/46200]	Loss: 0.1356	LR: 0.000800
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Training Epoch: 36 [39424/46200]	Loss: 0.1188	LR: 0.000800
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Training Epoch: 36 [39936/46200]	Loss: 0.1272	LR: 0.000800
Training Epoch: 36 [40192/46200]	Loss: 0.1236	LR: 0.000800
Training Epoch: 36 [40448/46200]	Loss: 0.0943	LR: 0.000800
Training Epoch: 36 [40704/46200]	Loss: 0.1540	LR: 0.000800
Training Epoch: 36 [40960/46200]	Loss: 0.1152	LR: 0.000800
Training Epoch: 36 [41216/46200]	Loss: 0.1070	LR: 0.000800
Training Epoch: 36 [41472/46200]	Loss: 0.1432	LR: 0.000800
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Training Epoch: 36 [42496/46200]	Loss: 0.1274	LR: 0.000800
Training Epoch: 36 [42752/46200]	Loss: 0.1575	LR: 0.000800
Training Epoch: 36 [43008/46200]	Loss: 0.1061	LR: 0.000800
Training Epoch: 36 [43264/46200]	Loss: 0.1065	LR: 0.000800
Training Epoch: 36 [43520/46200]	Loss: 0.0740	LR: 0.000800
Training Epoch: 36 [43776/46200]	Loss: 0.1015	LR: 0.000800
Training Epoch: 36 [44032/46200]	Loss: 0.1155	LR: 0.000800
Training Epoch: 36 [44288/46200]	Loss: 0.0963	LR: 0.000800
Training Epoch: 36 [44544/46200]	Loss: 0.0982	LR: 0.000800
Training Epoch: 36 [44800/46200]	Loss: 0.1078	LR: 0.000800
Training Epoch: 36 [45056/46200]	Loss: 0.1171	LR: 0.000800
Training Epoch: 36 [45312/46200]	Loss: 0.0784	LR: 0.000800
Training Epoch: 36 [45568/46200]	Loss: 0.1127	LR: 0.000800
Training Epoch: 36 [45824/46200]	Loss: 0.1074	LR: 0.000800
Training Epoch: 36 [46080/46200]	Loss: 0.0891	LR: 0.000800
Training Epoch: 36 [46200/46200]	Loss: 0.1516	LR: 0.000800
Epoch 36 - Average Train Loss: 0.1178, Train Accuracy: 0.9662
Epoch 36 training time consumed: 27.59s
Evaluating Network.....
Test set: Epoch: 36, Average loss: 0.0028, Accuracy: 0.8065, Time consumed:0.89s
Training Epoch: 37 [256/46200]	Loss: 0.1297	LR: 0.000800
Training Epoch: 37 [512/46200]	Loss: 0.1147	LR: 0.000800
Training Epoch: 37 [768/46200]	Loss: 0.0672	LR: 0.000800
Training Epoch: 37 [1024/46200]	Loss: 0.1313	LR: 0.000800
Training Epoch: 37 [1280/46200]	Loss: 0.1064	LR: 0.000800
Training Epoch: 37 [1536/46200]	Loss: 0.0924	LR: 0.000800
Training Epoch: 37 [1792/46200]	Loss: 0.0867	LR: 0.000800
Training Epoch: 37 [2048/46200]	Loss: 0.1261	LR: 0.000800
Training Epoch: 37 [2304/46200]	Loss: 0.1211	LR: 0.000800
Training Epoch: 37 [2560/46200]	Loss: 0.1235	LR: 0.000800
Training Epoch: 37 [2816/46200]	Loss: 0.0905	LR: 0.000800
Training Epoch: 37 [3072/46200]	Loss: 0.1242	LR: 0.000800
Training Epoch: 37 [3328/46200]	Loss: 0.1170	LR: 0.000800
Training Epoch: 37 [3584/46200]	Loss: 0.1022	LR: 0.000800
Training Epoch: 37 [3840/46200]	Loss: 0.0907	LR: 0.000800
Training Epoch: 37 [4096/46200]	Loss: 0.1102	LR: 0.000800
Training Epoch: 37 [4352/46200]	Loss: 0.1563	LR: 0.000800
Training Epoch: 37 [4608/46200]	Loss: 0.1030	LR: 0.000800
Training Epoch: 37 [4864/46200]	Loss: 0.1317	LR: 0.000800
Training Epoch: 37 [5120/46200]	Loss: 0.1091	LR: 0.000800
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Training Epoch: 37 [40448/46200]	Loss: 0.0994	LR: 0.000800
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Training Epoch: 37 [42240/46200]	Loss: 0.1291	LR: 0.000800
Training Epoch: 37 [42496/46200]	Loss: 0.0938	LR: 0.000800
Training Epoch: 37 [42752/46200]	Loss: 0.1137	LR: 0.000800
Training Epoch: 37 [43008/46200]	Loss: 0.1616	LR: 0.000800
Training Epoch: 37 [43264/46200]	Loss: 0.1114	LR: 0.000800
Training Epoch: 37 [43520/46200]	Loss: 0.1025	LR: 0.000800
Training Epoch: 37 [43776/46200]	Loss: 0.1041	LR: 0.000800
Training Epoch: 37 [44032/46200]	Loss: 0.0989	LR: 0.000800
Training Epoch: 37 [44288/46200]	Loss: 0.1050	LR: 0.000800
Training Epoch: 37 [44544/46200]	Loss: 0.1130	LR: 0.000800
Training Epoch: 37 [44800/46200]	Loss: 0.1249	LR: 0.000800
Training Epoch: 37 [45056/46200]	Loss: 0.1026	LR: 0.000800
Training Epoch: 37 [45312/46200]	Loss: 0.1307	LR: 0.000800
Training Epoch: 37 [45568/46200]	Loss: 0.0976	LR: 0.000800
Training Epoch: 37 [45824/46200]	Loss: 0.0809	LR: 0.000800
Training Epoch: 37 [46080/46200]	Loss: 0.1733	LR: 0.000800
Training Epoch: 37 [46200/46200]	Loss: 0.0639	LR: 0.000800
Epoch 37 - Average Train Loss: 0.1115, Train Accuracy: 0.9675
Epoch 37 training time consumed: 28.02s
Evaluating Network.....
Test set: Epoch: 37, Average loss: 0.0028, Accuracy: 0.8080, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_04h_06m_40s/ResNet18-Cifar20-seed8-ret25-37-best.pth
Training Epoch: 38 [256/46200]	Loss: 0.0837	LR: 0.000800
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Training Epoch: 38 [1536/46200]	Loss: 0.0707	LR: 0.000800
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Training Epoch: 38 [31744/46200]	Loss: 0.0584	LR: 0.000800
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Training Epoch: 38 [32256/46200]	Loss: 0.1325	LR: 0.000800
Training Epoch: 38 [32512/46200]	Loss: 0.0943	LR: 0.000800
Training Epoch: 38 [32768/46200]	Loss: 0.1440	LR: 0.000800
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Training Epoch: 38 [33280/46200]	Loss: 0.1368	LR: 0.000800
Training Epoch: 38 [33536/46200]	Loss: 0.1326	LR: 0.000800
Training Epoch: 38 [33792/46200]	Loss: 0.0690	LR: 0.000800
Training Epoch: 38 [34048/46200]	Loss: 0.0979	LR: 0.000800
Training Epoch: 38 [34304/46200]	Loss: 0.0858	LR: 0.000800
Training Epoch: 38 [34560/46200]	Loss: 0.0898	LR: 0.000800
Training Epoch: 38 [34816/46200]	Loss: 0.1443	LR: 0.000800
Training Epoch: 38 [35072/46200]	Loss: 0.0871	LR: 0.000800
Training Epoch: 38 [35328/46200]	Loss: 0.0978	LR: 0.000800
Training Epoch: 38 [35584/46200]	Loss: 0.0704	LR: 0.000800
Training Epoch: 38 [35840/46200]	Loss: 0.1152	LR: 0.000800
Training Epoch: 38 [36096/46200]	Loss: 0.1288	LR: 0.000800
Training Epoch: 38 [36352/46200]	Loss: 0.0892	LR: 0.000800
Training Epoch: 38 [36608/46200]	Loss: 0.1069	LR: 0.000800
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Training Epoch: 38 [37120/46200]	Loss: 0.1338	LR: 0.000800
Training Epoch: 38 [37376/46200]	Loss: 0.0886	LR: 0.000800
Training Epoch: 38 [37632/46200]	Loss: 0.1142	LR: 0.000800
Training Epoch: 38 [37888/46200]	Loss: 0.0780	LR: 0.000800
Training Epoch: 38 [38144/46200]	Loss: 0.1325	LR: 0.000800
Training Epoch: 38 [38400/46200]	Loss: 0.1197	LR: 0.000800
Training Epoch: 38 [38656/46200]	Loss: 0.1276	LR: 0.000800
Training Epoch: 38 [38912/46200]	Loss: 0.0969	LR: 0.000800
Training Epoch: 38 [39168/46200]	Loss: 0.1138	LR: 0.000800
Training Epoch: 38 [39424/46200]	Loss: 0.1237	LR: 0.000800
Training Epoch: 38 [39680/46200]	Loss: 0.1319	LR: 0.000800
Training Epoch: 38 [39936/46200]	Loss: 0.1062	LR: 0.000800
Training Epoch: 38 [40192/46200]	Loss: 0.1298	LR: 0.000800
Training Epoch: 38 [40448/46200]	Loss: 0.1087	LR: 0.000800
Training Epoch: 38 [40704/46200]	Loss: 0.0993	LR: 0.000800
Training Epoch: 38 [40960/46200]	Loss: 0.1259	LR: 0.000800
Training Epoch: 38 [41216/46200]	Loss: 0.0718	LR: 0.000800
Training Epoch: 38 [41472/46200]	Loss: 0.1419	LR: 0.000800
Training Epoch: 38 [41728/46200]	Loss: 0.1024	LR: 0.000800
Training Epoch: 38 [41984/46200]	Loss: 0.1063	LR: 0.000800
Training Epoch: 38 [42240/46200]	Loss: 0.1193	LR: 0.000800
Training Epoch: 38 [42496/46200]	Loss: 0.0866	LR: 0.000800
Training Epoch: 38 [42752/46200]	Loss: 0.0930	LR: 0.000800
Training Epoch: 38 [43008/46200]	Loss: 0.1268	LR: 0.000800
Training Epoch: 38 [43264/46200]	Loss: 0.1141	LR: 0.000800
Training Epoch: 38 [43520/46200]	Loss: 0.0994	LR: 0.000800
Training Epoch: 38 [43776/46200]	Loss: 0.1318	LR: 0.000800
Training Epoch: 38 [44032/46200]	Loss: 0.0958	LR: 0.000800
Training Epoch: 38 [44288/46200]	Loss: 0.1200	LR: 0.000800
Training Epoch: 38 [44544/46200]	Loss: 0.0825	LR: 0.000800
Training Epoch: 38 [44800/46200]	Loss: 0.1273	LR: 0.000800
Training Epoch: 38 [45056/46200]	Loss: 0.0874	LR: 0.000800
Training Epoch: 38 [45312/46200]	Loss: 0.1081	LR: 0.000800
Training Epoch: 38 [45568/46200]	Loss: 0.1209	LR: 0.000800
Training Epoch: 38 [45824/46200]	Loss: 0.1226	LR: 0.000800
Training Epoch: 38 [46080/46200]	Loss: 0.1116	LR: 0.000800
Training Epoch: 38 [46200/46200]	Loss: 0.0997	LR: 0.000800
Epoch 38 - Average Train Loss: 0.1114, Train Accuracy: 0.9679
Epoch 38 training time consumed: 27.78s
Evaluating Network.....
Test set: Epoch: 38, Average loss: 0.0028, Accuracy: 0.8058, Time consumed:0.92s
Training Epoch: 39 [256/46200]	Loss: 0.1291	LR: 0.000800
Training Epoch: 39 [512/46200]	Loss: 0.1437	LR: 0.000800
Training Epoch: 39 [768/46200]	Loss: 0.0962	LR: 0.000800
Training Epoch: 39 [1024/46200]	Loss: 0.1143	LR: 0.000800
Training Epoch: 39 [1280/46200]	Loss: 0.0778	LR: 0.000800
Training Epoch: 39 [1536/46200]	Loss: 0.0807	LR: 0.000800
Training Epoch: 39 [1792/46200]	Loss: 0.0928	LR: 0.000800
Training Epoch: 39 [2048/46200]	Loss: 0.1190	LR: 0.000800
Training Epoch: 39 [2304/46200]	Loss: 0.0844	LR: 0.000800
Training Epoch: 39 [2560/46200]	Loss: 0.1542	LR: 0.000800
Training Epoch: 39 [2816/46200]	Loss: 0.1040	LR: 0.000800
Training Epoch: 39 [3072/46200]	Loss: 0.1015	LR: 0.000800
Training Epoch: 39 [3328/46200]	Loss: 0.1025	LR: 0.000800
Training Epoch: 39 [3584/46200]	Loss: 0.1419	LR: 0.000800
Training Epoch: 39 [3840/46200]	Loss: 0.0762	LR: 0.000800
Training Epoch: 39 [4096/46200]	Loss: 0.1174	LR: 0.000800
Training Epoch: 39 [4352/46200]	Loss: 0.1012	LR: 0.000800
Training Epoch: 39 [4608/46200]	Loss: 0.1248	LR: 0.000800
Training Epoch: 39 [4864/46200]	Loss: 0.1057	LR: 0.000800
Training Epoch: 39 [5120/46200]	Loss: 0.1047	LR: 0.000800
Training Epoch: 39 [5376/46200]	Loss: 0.0887	LR: 0.000800
Training Epoch: 39 [5632/46200]	Loss: 0.1068	LR: 0.000800
Training Epoch: 39 [5888/46200]	Loss: 0.1155	LR: 0.000800
Training Epoch: 39 [6144/46200]	Loss: 0.1388	LR: 0.000800
Training Epoch: 39 [6400/46200]	Loss: 0.0802	LR: 0.000800
Training Epoch: 39 [6656/46200]	Loss: 0.0879	LR: 0.000800
Training Epoch: 39 [6912/46200]	Loss: 0.1351	LR: 0.000800
Training Epoch: 39 [7168/46200]	Loss: 0.0953	LR: 0.000800
Training Epoch: 39 [7424/46200]	Loss: 0.1008	LR: 0.000800
Training Epoch: 39 [7680/46200]	Loss: 0.1585	LR: 0.000800
Training Epoch: 39 [7936/46200]	Loss: 0.0646	LR: 0.000800
Training Epoch: 39 [8192/46200]	Loss: 0.1205	LR: 0.000800
Training Epoch: 39 [8448/46200]	Loss: 0.0614	LR: 0.000800
Training Epoch: 39 [8704/46200]	Loss: 0.1070	LR: 0.000800
Training Epoch: 39 [8960/46200]	Loss: 0.1110	LR: 0.000800
Training Epoch: 39 [9216/46200]	Loss: 0.1406	LR: 0.000800
Training Epoch: 39 [9472/46200]	Loss: 0.1588	LR: 0.000800
Training Epoch: 39 [9728/46200]	Loss: 0.1195	LR: 0.000800
Training Epoch: 39 [9984/46200]	Loss: 0.0932	LR: 0.000800
Training Epoch: 39 [10240/46200]	Loss: 0.0824	LR: 0.000800
Training Epoch: 39 [10496/46200]	Loss: 0.1205	LR: 0.000800
Training Epoch: 39 [10752/46200]	Loss: 0.0902	LR: 0.000800
Training Epoch: 39 [11008/46200]	Loss: 0.1162	LR: 0.000800
Training Epoch: 39 [11264/46200]	Loss: 0.1133	LR: 0.000800
Training Epoch: 39 [11520/46200]	Loss: 0.1621	LR: 0.000800
Training Epoch: 39 [11776/46200]	Loss: 0.1506	LR: 0.000800
Training Epoch: 39 [12032/46200]	Loss: 0.1308	LR: 0.000800
Training Epoch: 39 [12288/46200]	Loss: 0.1229	LR: 0.000800
Training Epoch: 39 [12544/46200]	Loss: 0.1234	LR: 0.000800
Training Epoch: 39 [12800/46200]	Loss: 0.1554	LR: 0.000800
Training Epoch: 39 [13056/46200]	Loss: 0.1141	LR: 0.000800
Training Epoch: 39 [13312/46200]	Loss: 0.0989	LR: 0.000800
Training Epoch: 39 [13568/46200]	Loss: 0.1384	LR: 0.000800
Training Epoch: 39 [13824/46200]	Loss: 0.1105	LR: 0.000800
Training Epoch: 39 [14080/46200]	Loss: 0.0953	LR: 0.000800
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Training Epoch: 39 [14592/46200]	Loss: 0.0887	LR: 0.000800
Training Epoch: 39 [14848/46200]	Loss: 0.1446	LR: 0.000800
Training Epoch: 39 [15104/46200]	Loss: 0.1083	LR: 0.000800
Training Epoch: 39 [15360/46200]	Loss: 0.0800	LR: 0.000800
Training Epoch: 39 [15616/46200]	Loss: 0.1653	LR: 0.000800
Training Epoch: 39 [15872/46200]	Loss: 0.1040	LR: 0.000800
Training Epoch: 39 [16128/46200]	Loss: 0.1044	LR: 0.000800
Training Epoch: 39 [16384/46200]	Loss: 0.0996	LR: 0.000800
Training Epoch: 39 [16640/46200]	Loss: 0.1360	LR: 0.000800
Training Epoch: 39 [16896/46200]	Loss: 0.1216	LR: 0.000800
Training Epoch: 39 [17152/46200]	Loss: 0.0900	LR: 0.000800
Training Epoch: 39 [17408/46200]	Loss: 0.1084	LR: 0.000800
Training Epoch: 39 [17664/46200]	Loss: 0.0911	LR: 0.000800
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Training Epoch: 39 [18176/46200]	Loss: 0.1094	LR: 0.000800
Training Epoch: 39 [18432/46200]	Loss: 0.1126	LR: 0.000800
Training Epoch: 39 [18688/46200]	Loss: 0.0784	LR: 0.000800
Training Epoch: 39 [18944/46200]	Loss: 0.1134	LR: 0.000800
Training Epoch: 39 [19200/46200]	Loss: 0.1331	LR: 0.000800
Training Epoch: 39 [19456/46200]	Loss: 0.1096	LR: 0.000800
Training Epoch: 39 [19712/46200]	Loss: 0.0680	LR: 0.000800
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Training Epoch: 39 [20480/46200]	Loss: 0.0882	LR: 0.000800
Training Epoch: 39 [20736/46200]	Loss: 0.0942	LR: 0.000800
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Training Epoch: 39 [21248/46200]	Loss: 0.1381	LR: 0.000800
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Training Epoch: 39 [21760/46200]	Loss: 0.1138	LR: 0.000800
Training Epoch: 39 [22016/46200]	Loss: 0.1407	LR: 0.000800
Training Epoch: 39 [22272/46200]	Loss: 0.1013	LR: 0.000800
Training Epoch: 39 [22528/46200]	Loss: 0.0696	LR: 0.000800
Training Epoch: 39 [22784/46200]	Loss: 0.0805	LR: 0.000800
Training Epoch: 39 [23040/46200]	Loss: 0.0949	LR: 0.000800
Training Epoch: 39 [23296/46200]	Loss: 0.1416	LR: 0.000800
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Training Epoch: 39 [25088/46200]	Loss: 0.1126	LR: 0.000800
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Training Epoch: 39 [25856/46200]	Loss: 0.1148	LR: 0.000800
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Training Epoch: 39 [26368/46200]	Loss: 0.1092	LR: 0.000800
Training Epoch: 39 [26624/46200]	Loss: 0.0987	LR: 0.000800
Training Epoch: 39 [26880/46200]	Loss: 0.0856	LR: 0.000800
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Training Epoch: 39 [29184/46200]	Loss: 0.1083	LR: 0.000800
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Training Epoch: 39 [29696/46200]	Loss: 0.0815	LR: 0.000800
Training Epoch: 39 [29952/46200]	Loss: 0.0956	LR: 0.000800
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Training Epoch: 39 [34560/46200]	Loss: 0.1191	LR: 0.000800
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Training Epoch: 39 [35584/46200]	Loss: 0.1336	LR: 0.000800
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Training Epoch: 39 [36096/46200]	Loss: 0.1151	LR: 0.000800
Training Epoch: 39 [36352/46200]	Loss: 0.1316	LR: 0.000800
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Training Epoch: 39 [37888/46200]	Loss: 0.1038	LR: 0.000800
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Training Epoch: 39 [38656/46200]	Loss: 0.0901	LR: 0.000800
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Training Epoch: 39 [39168/46200]	Loss: 0.1278	LR: 0.000800
Training Epoch: 39 [39424/46200]	Loss: 0.1073	LR: 0.000800
Training Epoch: 39 [39680/46200]	Loss: 0.0994	LR: 0.000800
Training Epoch: 39 [39936/46200]	Loss: 0.1036	LR: 0.000800
Training Epoch: 39 [40192/46200]	Loss: 0.0881	LR: 0.000800
Training Epoch: 39 [40448/46200]	Loss: 0.0699	LR: 0.000800
Training Epoch: 39 [40704/46200]	Loss: 0.0865	LR: 0.000800
Training Epoch: 39 [40960/46200]	Loss: 0.1208	LR: 0.000800
Training Epoch: 39 [41216/46200]	Loss: 0.1489	LR: 0.000800
Training Epoch: 39 [41472/46200]	Loss: 0.0802	LR: 0.000800
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Training Epoch: 39 [41984/46200]	Loss: 0.1109	LR: 0.000800
Training Epoch: 39 [42240/46200]	Loss: 0.1090	LR: 0.000800
Training Epoch: 39 [42496/46200]	Loss: 0.1183	LR: 0.000800
Training Epoch: 39 [42752/46200]	Loss: 0.0674	LR: 0.000800
Training Epoch: 39 [43008/46200]	Loss: 0.0936	LR: 0.000800
Training Epoch: 39 [43264/46200]	Loss: 0.1404	LR: 0.000800
Training Epoch: 39 [43520/46200]	Loss: 0.0953	LR: 0.000800
Training Epoch: 39 [43776/46200]	Loss: 0.1137	LR: 0.000800
Training Epoch: 39 [44032/46200]	Loss: 0.1222	LR: 0.000800
Training Epoch: 39 [44288/46200]	Loss: 0.1282	LR: 0.000800
Training Epoch: 39 [44544/46200]	Loss: 0.1359	LR: 0.000800
Training Epoch: 39 [44800/46200]	Loss: 0.1049	LR: 0.000800
Training Epoch: 39 [45056/46200]	Loss: 0.1073	LR: 0.000800
Training Epoch: 39 [45312/46200]	Loss: 0.0937	LR: 0.000800
Training Epoch: 39 [45568/46200]	Loss: 0.1366	LR: 0.000800
Training Epoch: 39 [45824/46200]	Loss: 0.1065	LR: 0.000800
Training Epoch: 39 [46080/46200]	Loss: 0.1248	LR: 0.000800
Training Epoch: 39 [46200/46200]	Loss: 0.0984	LR: 0.000800
Epoch 39 - Average Train Loss: 0.1078, Train Accuracy: 0.9687
Epoch 39 training time consumed: 27.71s
Evaluating Network.....
Test set: Epoch: 39, Average loss: 0.0028, Accuracy: 0.8081, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_04h_06m_40s/ResNet18-Cifar20-seed8-ret25-39-best.pth
Training Epoch: 40 [256/46200]	Loss: 0.0840	LR: 0.000800
Training Epoch: 40 [512/46200]	Loss: 0.0870	LR: 0.000800
Training Epoch: 40 [768/46200]	Loss: 0.0887	LR: 0.000800
Training Epoch: 40 [1024/46200]	Loss: 0.0747	LR: 0.000800
Training Epoch: 40 [1280/46200]	Loss: 0.0760	LR: 0.000800
Training Epoch: 40 [1536/46200]	Loss: 0.1215	LR: 0.000800
Training Epoch: 40 [1792/46200]	Loss: 0.1004	LR: 0.000800
Training Epoch: 40 [2048/46200]	Loss: 0.1293	LR: 0.000800
Training Epoch: 40 [2304/46200]	Loss: 0.0863	LR: 0.000800
Training Epoch: 40 [2560/46200]	Loss: 0.1042	LR: 0.000800
Training Epoch: 40 [2816/46200]	Loss: 0.0797	LR: 0.000800
Training Epoch: 40 [3072/46200]	Loss: 0.1030	LR: 0.000800
Training Epoch: 40 [3328/46200]	Loss: 0.0766	LR: 0.000800
Training Epoch: 40 [3584/46200]	Loss: 0.1278	LR: 0.000800
Training Epoch: 40 [3840/46200]	Loss: 0.0732	LR: 0.000800
Training Epoch: 40 [4096/46200]	Loss: 0.0845	LR: 0.000800
Training Epoch: 40 [4352/46200]	Loss: 0.1211	LR: 0.000800
Training Epoch: 40 [4608/46200]	Loss: 0.1043	LR: 0.000800
Training Epoch: 40 [4864/46200]	Loss: 0.0956	LR: 0.000800
Training Epoch: 40 [5120/46200]	Loss: 0.0661	LR: 0.000800
Training Epoch: 40 [5376/46200]	Loss: 0.0987	LR: 0.000800
Training Epoch: 40 [5632/46200]	Loss: 0.0883	LR: 0.000800
Training Epoch: 40 [5888/46200]	Loss: 0.1090	LR: 0.000800
Training Epoch: 40 [6144/46200]	Loss: 0.1455	LR: 0.000800
Training Epoch: 40 [6400/46200]	Loss: 0.1407	LR: 0.000800
Training Epoch: 40 [6656/46200]	Loss: 0.0879	LR: 0.000800
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Training Epoch: 40 [7168/46200]	Loss: 0.0787	LR: 0.000800
Training Epoch: 40 [7424/46200]	Loss: 0.1151	LR: 0.000800
Training Epoch: 40 [7680/46200]	Loss: 0.0996	LR: 0.000800
Training Epoch: 40 [7936/46200]	Loss: 0.0863	LR: 0.000800
Training Epoch: 40 [8192/46200]	Loss: 0.1288	LR: 0.000800
Training Epoch: 40 [8448/46200]	Loss: 0.0636	LR: 0.000800
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Training Epoch: 40 [9984/46200]	Loss: 0.0949	LR: 0.000800
Training Epoch: 40 [10240/46200]	Loss: 0.1232	LR: 0.000800
Training Epoch: 40 [10496/46200]	Loss: 0.1063	LR: 0.000800
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Training Epoch: 40 [11264/46200]	Loss: 0.1130	LR: 0.000800
Training Epoch: 40 [11520/46200]	Loss: 0.0889	LR: 0.000800
Training Epoch: 40 [11776/46200]	Loss: 0.0941	LR: 0.000800
Training Epoch: 40 [12032/46200]	Loss: 0.1088	LR: 0.000800
Training Epoch: 40 [12288/46200]	Loss: 0.0763	LR: 0.000800
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Training Epoch: 40 [13056/46200]	Loss: 0.1192	LR: 0.000800
Training Epoch: 40 [13312/46200]	Loss: 0.1091	LR: 0.000800
Training Epoch: 40 [13568/46200]	Loss: 0.1162	LR: 0.000800
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Training Epoch: 40 [16640/46200]	Loss: 0.1021	LR: 0.000800
Training Epoch: 40 [16896/46200]	Loss: 0.1073	LR: 0.000800
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Training Epoch: 40 [17920/46200]	Loss: 0.1196	LR: 0.000800
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Training Epoch: 40 [18432/46200]	Loss: 0.1014	LR: 0.000800
Training Epoch: 40 [18688/46200]	Loss: 0.1250	LR: 0.000800
Training Epoch: 40 [18944/46200]	Loss: 0.1237	LR: 0.000800
Training Epoch: 40 [19200/46200]	Loss: 0.1376	LR: 0.000800
Training Epoch: 40 [19456/46200]	Loss: 0.1093	LR: 0.000800
Training Epoch: 40 [19712/46200]	Loss: 0.0923	LR: 0.000800
Training Epoch: 40 [19968/46200]	Loss: 0.0892	LR: 0.000800
Training Epoch: 40 [20224/46200]	Loss: 0.1204	LR: 0.000800
Training Epoch: 40 [20480/46200]	Loss: 0.1194	LR: 0.000800
Training Epoch: 40 [20736/46200]	Loss: 0.1046	LR: 0.000800
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Training Epoch: 40 [21248/46200]	Loss: 0.1010	LR: 0.000800
Training Epoch: 40 [21504/46200]	Loss: 0.0878	LR: 0.000800
Training Epoch: 40 [21760/46200]	Loss: 0.0705	LR: 0.000800
Training Epoch: 40 [22016/46200]	Loss: 0.1219	LR: 0.000800
Training Epoch: 40 [22272/46200]	Loss: 0.1307	LR: 0.000800
Training Epoch: 40 [22528/46200]	Loss: 0.1072	LR: 0.000800
Training Epoch: 40 [22784/46200]	Loss: 0.1160	LR: 0.000800
Training Epoch: 40 [23040/46200]	Loss: 0.0829	LR: 0.000800
Training Epoch: 40 [23296/46200]	Loss: 0.1185	LR: 0.000800
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Training Epoch: 40 [23808/46200]	Loss: 0.0701	LR: 0.000800
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Training Epoch: 40 [24320/46200]	Loss: 0.1280	LR: 0.000800
Training Epoch: 40 [24576/46200]	Loss: 0.0953	LR: 0.000800
Training Epoch: 40 [24832/46200]	Loss: 0.0947	LR: 0.000800
Training Epoch: 40 [25088/46200]	Loss: 0.0879	LR: 0.000800
Training Epoch: 40 [25344/46200]	Loss: 0.1073	LR: 0.000800
Training Epoch: 40 [25600/46200]	Loss: 0.0929	LR: 0.000800
Training Epoch: 40 [25856/46200]	Loss: 0.1200	LR: 0.000800
Training Epoch: 40 [26112/46200]	Loss: 0.1444	LR: 0.000800
Training Epoch: 40 [26368/46200]	Loss: 0.1176	LR: 0.000800
Training Epoch: 40 [26624/46200]	Loss: 0.0932	LR: 0.000800
Training Epoch: 40 [26880/46200]	Loss: 0.1527	LR: 0.000800
Training Epoch: 40 [27136/46200]	Loss: 0.1429	LR: 0.000800
Training Epoch: 40 [27392/46200]	Loss: 0.0904	LR: 0.000800
Training Epoch: 40 [27648/46200]	Loss: 0.0731	LR: 0.000800
Training Epoch: 40 [27904/46200]	Loss: 0.1009	LR: 0.000800
Training Epoch: 40 [28160/46200]	Loss: 0.1316	LR: 0.000800
Training Epoch: 40 [28416/46200]	Loss: 0.1042	LR: 0.000800
Training Epoch: 40 [28672/46200]	Loss: 0.1021	LR: 0.000800
Training Epoch: 40 [28928/46200]	Loss: 0.1122	LR: 0.000800
Training Epoch: 40 [29184/46200]	Loss: 0.1003	LR: 0.000800
Training Epoch: 40 [29440/46200]	Loss: 0.0865	LR: 0.000800
Training Epoch: 40 [29696/46200]	Loss: 0.0944	LR: 0.000800
Training Epoch: 40 [29952/46200]	Loss: 0.0760	LR: 0.000800
Training Epoch: 40 [30208/46200]	Loss: 0.1511	LR: 0.000800
Training Epoch: 40 [30464/46200]	Loss: 0.1377	LR: 0.000800
Training Epoch: 40 [30720/46200]	Loss: 0.0883	LR: 0.000800
Training Epoch: 40 [30976/46200]	Loss: 0.1183	LR: 0.000800
Training Epoch: 40 [31232/46200]	Loss: 0.1073	LR: 0.000800
Training Epoch: 40 [31488/46200]	Loss: 0.0833	LR: 0.000800
Training Epoch: 40 [31744/46200]	Loss: 0.1361	LR: 0.000800
Training Epoch: 40 [32000/46200]	Loss: 0.0925	LR: 0.000800
Training Epoch: 40 [32256/46200]	Loss: 0.1016	LR: 0.000800
Training Epoch: 40 [32512/46200]	Loss: 0.1150	LR: 0.000800
Training Epoch: 40 [32768/46200]	Loss: 0.0963	LR: 0.000800
Training Epoch: 40 [33024/46200]	Loss: 0.1408	LR: 0.000800
Training Epoch: 40 [33280/46200]	Loss: 0.1500	LR: 0.000800
Training Epoch: 40 [33536/46200]	Loss: 0.1367	LR: 0.000800
Training Epoch: 40 [33792/46200]	Loss: 0.0767	LR: 0.000800
Training Epoch: 40 [34048/46200]	Loss: 0.1314	LR: 0.000800
Training Epoch: 40 [34304/46200]	Loss: 0.0948	LR: 0.000800
Training Epoch: 40 [34560/46200]	Loss: 0.1161	LR: 0.000800
Training Epoch: 40 [34816/46200]	Loss: 0.0844	LR: 0.000800
Training Epoch: 40 [35072/46200]	Loss: 0.1210	LR: 0.000800
Training Epoch: 40 [35328/46200]	Loss: 0.1153	LR: 0.000800
Training Epoch: 40 [35584/46200]	Loss: 0.1032	LR: 0.000800
Training Epoch: 40 [35840/46200]	Loss: 0.0997	LR: 0.000800
Training Epoch: 40 [36096/46200]	Loss: 0.0881	LR: 0.000800
Training Epoch: 40 [36352/46200]	Loss: 0.0976	LR: 0.000800
Training Epoch: 40 [36608/46200]	Loss: 0.0937	LR: 0.000800
Training Epoch: 40 [36864/46200]	Loss: 0.1404	LR: 0.000800
Training Epoch: 40 [37120/46200]	Loss: 0.1263	LR: 0.000800
Training Epoch: 40 [37376/46200]	Loss: 0.1093	LR: 0.000800
Training Epoch: 40 [37632/46200]	Loss: 0.1370	LR: 0.000800
Training Epoch: 40 [37888/46200]	Loss: 0.0890	LR: 0.000800
Training Epoch: 40 [38144/46200]	Loss: 0.0923	LR: 0.000800
Training Epoch: 40 [38400/46200]	Loss: 0.1127	LR: 0.000800
Training Epoch: 40 [38656/46200]	Loss: 0.1223	LR: 0.000800
Training Epoch: 40 [38912/46200]	Loss: 0.1059	LR: 0.000800
Training Epoch: 40 [39168/46200]	Loss: 0.0743	LR: 0.000800
Training Epoch: 40 [39424/46200]	Loss: 0.1407	LR: 0.000800
Training Epoch: 40 [39680/46200]	Loss: 0.1074	LR: 0.000800
Training Epoch: 40 [39936/46200]	Loss: 0.0909	LR: 0.000800
Training Epoch: 40 [40192/46200]	Loss: 0.1122	LR: 0.000800
Training Epoch: 40 [40448/46200]	Loss: 0.0995	LR: 0.000800
Training Epoch: 40 [40704/46200]	Loss: 0.0979	LR: 0.000800
Training Epoch: 40 [40960/46200]	Loss: 0.1190	LR: 0.000800
Training Epoch: 40 [41216/46200]	Loss: 0.1317	LR: 0.000800
Training Epoch: 40 [41472/46200]	Loss: 0.0871	LR: 0.000800
Training Epoch: 40 [41728/46200]	Loss: 0.0655	LR: 0.000800
Training Epoch: 40 [41984/46200]	Loss: 0.0842	LR: 0.000800
Training Epoch: 40 [42240/46200]	Loss: 0.1115	LR: 0.000800
Training Epoch: 40 [42496/46200]	Loss: 0.0952	LR: 0.000800
Training Epoch: 40 [42752/46200]	Loss: 0.1108	LR: 0.000800
Training Epoch: 40 [43008/46200]	Loss: 0.1238	LR: 0.000800
Training Epoch: 40 [43264/46200]	Loss: 0.1252	LR: 0.000800
Training Epoch: 40 [43520/46200]	Loss: 0.1323	LR: 0.000800
Training Epoch: 40 [43776/46200]	Loss: 0.0978	LR: 0.000800
Training Epoch: 40 [44032/46200]	Loss: 0.1092	LR: 0.000800
Training Epoch: 40 [44288/46200]	Loss: 0.1046	LR: 0.000800
Training Epoch: 40 [44544/46200]	Loss: 0.1033	LR: 0.000800
Training Epoch: 40 [44800/46200]	Loss: 0.1245	LR: 0.000800
Training Epoch: 40 [45056/46200]	Loss: 0.1336	LR: 0.000800
Training Epoch: 40 [45312/46200]	Loss: 0.1031	LR: 0.000800
Training Epoch: 40 [45568/46200]	Loss: 0.1403	LR: 0.000800
Training Epoch: 40 [45824/46200]	Loss: 0.0766	LR: 0.000800
Training Epoch: 40 [46080/46200]	Loss: 0.0940	LR: 0.000800
Training Epoch: 40 [46200/46200]	Loss: 0.0811	LR: 0.000800
Epoch 40 - Average Train Loss: 0.1055, Train Accuracy: 0.9698
Epoch 40 training time consumed: 27.57s
Evaluating Network.....
Test set: Epoch: 40, Average loss: 0.0028, Accuracy: 0.8074, Time consumed:1.01s
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: 80.8984375
Retain Accuracy: 97.53079986572266
Zero-Retain Forget (ZRF): 0.904354453086853
Membership Inference Attack (MIA): 0.5989473684210527
Forget vs Retain Membership Inference Attack (MIA): 0.5677631578947369
Forget vs Test Membership Inference Attack (MIA): 0.5184210526315789
Test vs Retain Membership Inference Attack (MIA): 0.5665
Train vs Test Membership Inference Attack (MIA): 0.5985
Forget Set Accuracy (Df): 79.89968872070312
Method Execution Time: 2090.13 seconds
