
📌 Retain class distribution for seed 5:
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 5:
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: 3.1242	LR: 0.000000
Training Epoch: 1 [512/46200]	Loss: 3.1192	LR: 0.000552
Training Epoch: 1 [768/46200]	Loss: 3.0958	LR: 0.001105
Training Epoch: 1 [1024/46200]	Loss: 3.1147	LR: 0.001657
Training Epoch: 1 [1280/46200]	Loss: 3.0318	LR: 0.002210
Training Epoch: 1 [1536/46200]	Loss: 3.0140	LR: 0.002762
Training Epoch: 1 [1792/46200]	Loss: 2.9745	LR: 0.003315
Training Epoch: 1 [2048/46200]	Loss: 2.9485	LR: 0.003867
Training Epoch: 1 [2304/46200]	Loss: 2.9306	LR: 0.004420
Training Epoch: 1 [2560/46200]	Loss: 2.9673	LR: 0.004972
Training Epoch: 1 [2816/46200]	Loss: 2.9529	LR: 0.005525
Training Epoch: 1 [3072/46200]	Loss: 2.9617	LR: 0.006077
Training Epoch: 1 [3328/46200]	Loss: 2.8966	LR: 0.006630
Training Epoch: 1 [3584/46200]	Loss: 2.8371	LR: 0.007182
Training Epoch: 1 [3840/46200]	Loss: 2.9585	LR: 0.007735
Training Epoch: 1 [4096/46200]	Loss: 2.9373	LR: 0.008287
Training Epoch: 1 [4352/46200]	Loss: 3.0121	LR: 0.008840
Training Epoch: 1 [4608/46200]	Loss: 2.7632	LR: 0.009392
Training Epoch: 1 [4864/46200]	Loss: 2.7725	LR: 0.009945
Training Epoch: 1 [5120/46200]	Loss: 2.8086	LR: 0.010497
Training Epoch: 1 [5376/46200]	Loss: 2.8227	LR: 0.011050
Training Epoch: 1 [5632/46200]	Loss: 2.6992	LR: 0.011602
Training Epoch: 1 [5888/46200]	Loss: 2.7127	LR: 0.012155
Training Epoch: 1 [6144/46200]	Loss: 2.8658	LR: 0.012707
Training Epoch: 1 [6400/46200]	Loss: 2.6515	LR: 0.013260
Training Epoch: 1 [6656/46200]	Loss: 2.7348	LR: 0.013812
Training Epoch: 1 [6912/46200]	Loss: 2.7912	LR: 0.014365
Training Epoch: 1 [7168/46200]	Loss: 2.7096	LR: 0.014917
Training Epoch: 1 [7424/46200]	Loss: 2.6472	LR: 0.015470
Training Epoch: 1 [7680/46200]	Loss: 2.6831	LR: 0.016022
Training Epoch: 1 [7936/46200]	Loss: 2.5925	LR: 0.016575
Training Epoch: 1 [8192/46200]	Loss: 2.6234	LR: 0.017127
Training Epoch: 1 [8448/46200]	Loss: 2.6296	LR: 0.017680
Training Epoch: 1 [8704/46200]	Loss: 2.5842	LR: 0.018232
Training Epoch: 1 [8960/46200]	Loss: 2.5865	LR: 0.018785
Training Epoch: 1 [9216/46200]	Loss: 2.6582	LR: 0.019337
Training Epoch: 1 [9472/46200]	Loss: 2.6677	LR: 0.019890
Training Epoch: 1 [9728/46200]	Loss: 2.7730	LR: 0.020442
Training Epoch: 1 [9984/46200]	Loss: 2.6221	LR: 0.020994
Training Epoch: 1 [10240/46200]	Loss: 2.4821	LR: 0.021547
Training Epoch: 1 [10496/46200]	Loss: 2.7757	LR: 0.022099
Training Epoch: 1 [10752/46200]	Loss: 2.7164	LR: 0.022652
Training Epoch: 1 [11008/46200]	Loss: 2.6470	LR: 0.023204
Training Epoch: 1 [11264/46200]	Loss: 2.5525	LR: 0.023757
Training Epoch: 1 [11520/46200]	Loss: 2.5914	LR: 0.024309
Training Epoch: 1 [11776/46200]	Loss: 2.8509	LR: 0.024862
Training Epoch: 1 [12032/46200]	Loss: 2.7635	LR: 0.025414
Training Epoch: 1 [12288/46200]	Loss: 2.5802	LR: 0.025967
Training Epoch: 1 [12544/46200]	Loss: 2.5574	LR: 0.026519
Training Epoch: 1 [12800/46200]	Loss: 2.5813	LR: 0.027072
Training Epoch: 1 [13056/46200]	Loss: 2.7290	LR: 0.027624
Training Epoch: 1 [13312/46200]	Loss: 2.6505	LR: 0.028177
Training Epoch: 1 [13568/46200]	Loss: 2.6157	LR: 0.028729
Training Epoch: 1 [13824/46200]	Loss: 2.6665	LR: 0.029282
Training Epoch: 1 [14080/46200]	Loss: 2.6458	LR: 0.029834
Training Epoch: 1 [14336/46200]	Loss: 2.5678	LR: 0.030387
Training Epoch: 1 [14592/46200]	Loss: 2.6102	LR: 0.030939
Training Epoch: 1 [14848/46200]	Loss: 2.7154	LR: 0.031492
Training Epoch: 1 [15104/46200]	Loss: 2.5308	LR: 0.032044
Training Epoch: 1 [15360/46200]	Loss: 2.5934	LR: 0.032597
Training Epoch: 1 [15616/46200]	Loss: 2.5393	LR: 0.033149
Training Epoch: 1 [15872/46200]	Loss: 2.6728	LR: 0.033702
Training Epoch: 1 [16128/46200]	Loss: 2.4842	LR: 0.034254
Training Epoch: 1 [16384/46200]	Loss: 2.6189	LR: 0.034807
Training Epoch: 1 [16640/46200]	Loss: 2.5877	LR: 0.035359
Training Epoch: 1 [16896/46200]	Loss: 2.5611	LR: 0.035912
Training Epoch: 1 [17152/46200]	Loss: 2.5225	LR: 0.036464
Training Epoch: 1 [17408/46200]	Loss: 2.5939	LR: 0.037017
Training Epoch: 1 [17664/46200]	Loss: 2.5753	LR: 0.037569
Training Epoch: 1 [17920/46200]	Loss: 2.4452	LR: 0.038122
Training Epoch: 1 [18176/46200]	Loss: 2.6009	LR: 0.038674
Training Epoch: 1 [18432/46200]	Loss: 2.6839	LR: 0.039227
Training Epoch: 1 [18688/46200]	Loss: 2.4207	LR: 0.039779
Training Epoch: 1 [18944/46200]	Loss: 2.4858	LR: 0.040331
Training Epoch: 1 [19200/46200]	Loss: 2.4387	LR: 0.040884
Training Epoch: 1 [19456/46200]	Loss: 2.5841	LR: 0.041436
Training Epoch: 1 [19712/46200]	Loss: 2.5442	LR: 0.041989
Training Epoch: 1 [19968/46200]	Loss: 2.6903	LR: 0.042541
Training Epoch: 1 [20224/46200]	Loss: 2.6626	LR: 0.043094
Training Epoch: 1 [20480/46200]	Loss: 2.5379	LR: 0.043646
Training Epoch: 1 [20736/46200]	Loss: 2.5509	LR: 0.044199
Training Epoch: 1 [20992/46200]	Loss: 2.4855	LR: 0.044751
Training Epoch: 1 [21248/46200]	Loss: 2.3885	LR: 0.045304
Training Epoch: 1 [21504/46200]	Loss: 2.5497	LR: 0.045856
Training Epoch: 1 [21760/46200]	Loss: 2.4456	LR: 0.046409
Training Epoch: 1 [22016/46200]	Loss: 2.6588	LR: 0.046961
Training Epoch: 1 [22272/46200]	Loss: 2.4907	LR: 0.047514
Training Epoch: 1 [22528/46200]	Loss: 2.5389	LR: 0.048066
Training Epoch: 1 [22784/46200]	Loss: 2.3841	LR: 0.048619
Training Epoch: 1 [23040/46200]	Loss: 2.6397	LR: 0.049171
Training Epoch: 1 [23296/46200]	Loss: 2.4460	LR: 0.049724
Training Epoch: 1 [23552/46200]	Loss: 2.4357	LR: 0.050276
Training Epoch: 1 [23808/46200]	Loss: 2.4399	LR: 0.050829
Training Epoch: 1 [24064/46200]	Loss: 2.3737	LR: 0.051381
Training Epoch: 1 [24320/46200]	Loss: 2.3480	LR: 0.051934
Training Epoch: 1 [24576/46200]	Loss: 2.5339	LR: 0.052486
Training Epoch: 1 [24832/46200]	Loss: 2.4519	LR: 0.053039
Training Epoch: 1 [25088/46200]	Loss: 2.4527	LR: 0.053591
Training Epoch: 1 [25344/46200]	Loss: 2.5312	LR: 0.054144
Training Epoch: 1 [25600/46200]	Loss: 2.3984	LR: 0.054696
Training Epoch: 1 [25856/46200]	Loss: 2.6053	LR: 0.055249
Training Epoch: 1 [26112/46200]	Loss: 2.5941	LR: 0.055801
Training Epoch: 1 [26368/46200]	Loss: 2.3194	LR: 0.056354
Training Epoch: 1 [26624/46200]	Loss: 2.4048	LR: 0.056906
Training Epoch: 1 [26880/46200]	Loss: 2.3975	LR: 0.057459
Training Epoch: 1 [27136/46200]	Loss: 2.6089	LR: 0.058011
Training Epoch: 1 [27392/46200]	Loss: 2.4310	LR: 0.058564
Training Epoch: 1 [27648/46200]	Loss: 2.4368	LR: 0.059116
Training Epoch: 1 [27904/46200]	Loss: 2.4040	LR: 0.059669
Training Epoch: 1 [28160/46200]	Loss: 2.4795	LR: 0.060221
Training Epoch: 1 [28416/46200]	Loss: 2.4572	LR: 0.060773
Training Epoch: 1 [28672/46200]	Loss: 2.4259	LR: 0.061326
Training Epoch: 1 [28928/46200]	Loss: 2.4427	LR: 0.061878
Training Epoch: 1 [29184/46200]	Loss: 2.3945	LR: 0.062431
Training Epoch: 1 [29440/46200]	Loss: 2.4926	LR: 0.062983
Training Epoch: 1 [29696/46200]	Loss: 2.4710	LR: 0.063536
Training Epoch: 1 [29952/46200]	Loss: 2.3834	LR: 0.064088
Training Epoch: 1 [30208/46200]	Loss: 2.3599	LR: 0.064641
Training Epoch: 1 [30464/46200]	Loss: 2.3573	LR: 0.065193
Training Epoch: 1 [30720/46200]	Loss: 2.4770	LR: 0.065746
Training Epoch: 1 [30976/46200]	Loss: 2.4877	LR: 0.066298
Training Epoch: 1 [31232/46200]	Loss: 2.3437	LR: 0.066851
Training Epoch: 1 [31488/46200]	Loss: 2.4174	LR: 0.067403
Training Epoch: 1 [31744/46200]	Loss: 2.3642	LR: 0.067956
Training Epoch: 1 [32000/46200]	Loss: 2.3047	LR: 0.068508
Training Epoch: 1 [32256/46200]	Loss: 2.4793	LR: 0.069061
Training Epoch: 1 [32512/46200]	Loss: 2.3195	LR: 0.069613
Training Epoch: 1 [32768/46200]	Loss: 2.5772	LR: 0.070166
Training Epoch: 1 [33024/46200]	Loss: 2.3817	LR: 0.070718
Training Epoch: 1 [33280/46200]	Loss: 2.3664	LR: 0.071271
Training Epoch: 1 [33536/46200]	Loss: 2.3878	LR: 0.071823
Training Epoch: 1 [33792/46200]	Loss: 2.3359	LR: 0.072376
Training Epoch: 1 [34048/46200]	Loss: 2.2987	LR: 0.072928
Training Epoch: 1 [34304/46200]	Loss: 2.4170	LR: 0.073481
Training Epoch: 1 [34560/46200]	Loss: 2.3778	LR: 0.074033
Training Epoch: 1 [34816/46200]	Loss: 2.3198	LR: 0.074586
Training Epoch: 1 [35072/46200]	Loss: 2.5264	LR: 0.075138
Training Epoch: 1 [35328/46200]	Loss: 2.4672	LR: 0.075691
Training Epoch: 1 [35584/46200]	Loss: 2.5024	LR: 0.076243
Training Epoch: 1 [35840/46200]	Loss: 2.3935	LR: 0.076796
Training Epoch: 1 [36096/46200]	Loss: 2.3260	LR: 0.077348
Training Epoch: 1 [36352/46200]	Loss: 2.4065	LR: 0.077901
Training Epoch: 1 [36608/46200]	Loss: 2.3956	LR: 0.078453
Training Epoch: 1 [36864/46200]	Loss: 2.4051	LR: 0.079006
Training Epoch: 1 [37120/46200]	Loss: 2.5131	LR: 0.079558
Training Epoch: 1 [37376/46200]	Loss: 2.4080	LR: 0.080110
Training Epoch: 1 [37632/46200]	Loss: 2.3454	LR: 0.080663
Training Epoch: 1 [37888/46200]	Loss: 2.3826	LR: 0.081215
Training Epoch: 1 [38144/46200]	Loss: 2.4145	LR: 0.081768
Training Epoch: 1 [38400/46200]	Loss: 2.4799	LR: 0.082320
Training Epoch: 1 [38656/46200]	Loss: 2.5232	LR: 0.082873
Training Epoch: 1 [38912/46200]	Loss: 2.2564	LR: 0.083425
Training Epoch: 1 [39168/46200]	Loss: 2.4130	LR: 0.083978
Training Epoch: 1 [39424/46200]	Loss: 2.5304	LR: 0.084530
Training Epoch: 1 [39680/46200]	Loss: 2.2312	LR: 0.085083
Training Epoch: 1 [39936/46200]	Loss: 2.2725	LR: 0.085635
Training Epoch: 1 [40192/46200]	Loss: 2.4823	LR: 0.086188
Training Epoch: 1 [40448/46200]	Loss: 2.5578	LR: 0.086740
Training Epoch: 1 [40704/46200]	Loss: 2.5089	LR: 0.087293
Training Epoch: 1 [40960/46200]	Loss: 2.4714	LR: 0.087845
Training Epoch: 1 [41216/46200]	Loss: 2.4336	LR: 0.088398
Training Epoch: 1 [41472/46200]	Loss: 2.6697	LR: 0.088950
Training Epoch: 1 [41728/46200]	Loss: 2.4656	LR: 0.089503
Training Epoch: 1 [41984/46200]	Loss: 2.3779	LR: 0.090055
Training Epoch: 1 [42240/46200]	Loss: 2.4830	LR: 0.090608
Training Epoch: 1 [42496/46200]	Loss: 2.4229	LR: 0.091160
Training Epoch: 1 [42752/46200]	Loss: 2.3165	LR: 0.091713
Training Epoch: 1 [43008/46200]	Loss: 2.5886	LR: 0.092265
Training Epoch: 1 [43264/46200]	Loss: 2.4523	LR: 0.092818
Training Epoch: 1 [43520/46200]	Loss: 2.4597	LR: 0.093370
Training Epoch: 1 [43776/46200]	Loss: 2.2973	LR: 0.093923
Training Epoch: 1 [44032/46200]	Loss: 2.3868	LR: 0.094475
Training Epoch: 1 [44288/46200]	Loss: 2.3903	LR: 0.095028
Training Epoch: 1 [44544/46200]	Loss: 2.4386	LR: 0.095580
Training Epoch: 1 [44800/46200]	Loss: 2.5274	LR: 0.096133
Training Epoch: 1 [45056/46200]	Loss: 2.2707	LR: 0.096685
Training Epoch: 1 [45312/46200]	Loss: 2.3446	LR: 0.097238
Training Epoch: 1 [45568/46200]	Loss: 2.3721	LR: 0.097790
Training Epoch: 1 [45824/46200]	Loss: 2.1782	LR: 0.098343
Training Epoch: 1 [46080/46200]	Loss: 2.2911	LR: 0.098895
Training Epoch: 1 [46200/46200]	Loss: 2.2929	LR: 0.099448
Epoch 1 - Average Train Loss: 2.5548, Train Accuracy: 0.2144
Epoch 1 training time consumed: 28.47s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0104, Accuracy: 0.2379, Time consumed:1.08s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_02h_20m_53s/ResNet18-Cifar20-seed5-ret25-1-best.pth
Training Epoch: 2 [256/46200]	Loss: 2.4104	LR: 0.100000
Training Epoch: 2 [512/46200]	Loss: 2.4478	LR: 0.100000
Training Epoch: 2 [768/46200]	Loss: 2.4536	LR: 0.100000
Training Epoch: 2 [1024/46200]	Loss: 2.1991	LR: 0.100000
Training Epoch: 2 [1280/46200]	Loss: 2.3863	LR: 0.100000
Training Epoch: 2 [1536/46200]	Loss: 2.2622	LR: 0.100000
Training Epoch: 2 [1792/46200]	Loss: 2.3842	LR: 0.100000
Training Epoch: 2 [2048/46200]	Loss: 2.3454	LR: 0.100000
Training Epoch: 2 [2304/46200]	Loss: 2.4157	LR: 0.100000
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Epoch 2 - Average Train Loss: 2.1716, Train Accuracy: 0.3245
Epoch 2 training time consumed: 27.77s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0083, Accuracy: 0.3662, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_02h_20m_53s/ResNet18-Cifar20-seed5-ret25-2-best.pth
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Training Epoch: 3 [46200/46200]	Loss: 1.7624	LR: 0.100000
Epoch 3 - Average Train Loss: 1.9236, Train Accuracy: 0.3977
Epoch 3 training time consumed: 27.85s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0074, Accuracy: 0.4226, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_02h_20m_53s/ResNet18-Cifar20-seed5-ret25-3-best.pth
Training Epoch: 4 [256/46200]	Loss: 1.8908	LR: 0.100000
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Training Epoch: 4 [46200/46200]	Loss: 1.5926	LR: 0.100000
Epoch 4 - Average Train Loss: 1.7175, Train Accuracy: 0.4551
Epoch 4 training time consumed: 27.84s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0067, Accuracy: 0.4643, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_02h_20m_53s/ResNet18-Cifar20-seed5-ret25-4-best.pth
Training Epoch: 5 [256/46200]	Loss: 1.5828	LR: 0.100000
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Epoch 5 - Average Train Loss: 1.5582, Train Accuracy: 0.5031
Epoch 5 training time consumed: 27.62s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0062, Accuracy: 0.4992, Time consumed:0.87s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_02h_20m_53s/ResNet18-Cifar20-seed5-ret25-5-best.pth
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Training Epoch: 6 [46080/46200]	Loss: 1.4996	LR: 0.100000
Training Epoch: 6 [46200/46200]	Loss: 1.2298	LR: 0.100000
Epoch 6 - Average Train Loss: 1.4249, Train Accuracy: 0.5456
Epoch 6 training time consumed: 27.60s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0058, Accuracy: 0.5500, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_02h_20m_53s/ResNet18-Cifar20-seed5-ret25-6-best.pth
Training Epoch: 7 [256/46200]	Loss: 1.1946	LR: 0.100000
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Training Epoch: 7 [46200/46200]	Loss: 1.4799	LR: 0.100000
Epoch 7 - Average Train Loss: 1.3051, Train Accuracy: 0.5815
Epoch 7 training time consumed: 27.61s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0060, Accuracy: 0.5359, Time consumed:0.93s
Training Epoch: 8 [256/46200]	Loss: 1.4157	LR: 0.100000
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Training Epoch: 8 [46200/46200]	Loss: 1.1283	LR: 0.100000
Epoch 8 - Average Train Loss: 1.2107, Train Accuracy: 0.6095
Epoch 8 training time consumed: 27.75s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0056, Accuracy: 0.5619, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_02h_20m_53s/ResNet18-Cifar20-seed5-ret25-8-best.pth
Training Epoch: 9 [256/46200]	Loss: 1.1675	LR: 0.100000
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Training Epoch: 9 [46200/46200]	Loss: 1.2918	LR: 0.100000
Epoch 9 - Average Train Loss: 1.1397, Train Accuracy: 0.6299
Epoch 9 training time consumed: 27.65s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0055, Accuracy: 0.5823, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_02h_20m_53s/ResNet18-Cifar20-seed5-ret25-9-best.pth
Training Epoch: 10 [256/46200]	Loss: 1.0945	LR: 0.100000
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Epoch 10 - Average Train Loss: 1.0725, Train Accuracy: 0.6516
Epoch 10 training time consumed: 27.91s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0048, Accuracy: 0.6141, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_02h_20m_53s/ResNet18-Cifar20-seed5-ret25-10-best.pth
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Training Epoch: 11 [46200/46200]	Loss: 1.2099	LR: 0.100000
Epoch 11 - Average Train Loss: 1.0105, Train Accuracy: 0.6732
Epoch 11 training time consumed: 27.66s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0061, Accuracy: 0.5556, Time consumed:0.91s
Training Epoch: 12 [256/46200]	Loss: 1.0407	LR: 0.100000
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Training Epoch: 12 [46200/46200]	Loss: 0.8740	LR: 0.100000
Epoch 12 - Average Train Loss: 0.9722, Train Accuracy: 0.6852
Epoch 12 training time consumed: 27.52s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0045, Accuracy: 0.6382, Time consumed:1.01s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_02h_20m_53s/ResNet18-Cifar20-seed5-ret25-12-best.pth
Training Epoch: 13 [256/46200]	Loss: 0.9400	LR: 0.100000
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Training Epoch: 13 [46200/46200]	Loss: 0.9398	LR: 0.100000
Epoch 13 - Average Train Loss: 0.9328, Train Accuracy: 0.6956
Epoch 13 training time consumed: 27.54s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0045, Accuracy: 0.6435, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_02h_20m_53s/ResNet18-Cifar20-seed5-ret25-13-best.pth
Training Epoch: 14 [256/46200]	Loss: 0.9268	LR: 0.100000
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Training Epoch: 14 [46200/46200]	Loss: 0.9282	LR: 0.100000
Epoch 14 - Average Train Loss: 0.9042, Train Accuracy: 0.7063
Epoch 14 training time consumed: 27.55s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0042, Accuracy: 0.6681, Time consumed:0.87s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_02h_20m_53s/ResNet18-Cifar20-seed5-ret25-14-best.pth
Training Epoch: 15 [256/46200]	Loss: 0.7504	LR: 0.020000
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Training Epoch: 15 [46200/46200]	Loss: 0.6294	LR: 0.020000
Epoch 15 - Average Train Loss: 0.6608, Train Accuracy: 0.7869
Epoch 15 training time consumed: 27.50s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0030, Accuracy: 0.7597, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_02h_20m_53s/ResNet18-Cifar20-seed5-ret25-15-best.pth
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Training Epoch: 16 [46200/46200]	Loss: 0.6224	LR: 0.020000
Epoch 16 - Average Train Loss: 0.5879, Train Accuracy: 0.8072
Epoch 16 training time consumed: 27.50s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0030, Accuracy: 0.7592, Time consumed:0.98s
Training Epoch: 17 [256/46200]	Loss: 0.4846	LR: 0.020000
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Training Epoch: 17 [46200/46200]	Loss: 0.4239	LR: 0.020000
Epoch 17 - Average Train Loss: 0.5445, Train Accuracy: 0.8213
Epoch 17 training time consumed: 27.46s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0030, Accuracy: 0.7630, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_02h_20m_53s/ResNet18-Cifar20-seed5-ret25-17-best.pth
Training Epoch: 18 [256/46200]	Loss: 0.5087	LR: 0.020000
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Training Epoch: 18 [46200/46200]	Loss: 0.4916	LR: 0.020000
Epoch 18 - Average Train Loss: 0.5146, Train Accuracy: 0.8308
Epoch 18 training time consumed: 27.64s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0030, Accuracy: 0.7669, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_02h_20m_53s/ResNet18-Cifar20-seed5-ret25-18-best.pth
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Training Epoch: 19 [46080/46200]	Loss: 0.5170	LR: 0.020000
Training Epoch: 19 [46200/46200]	Loss: 0.3103	LR: 0.020000
Epoch 19 - Average Train Loss: 0.4877, Train Accuracy: 0.8391
Epoch 19 training time consumed: 27.91s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0029, Accuracy: 0.7718, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_02h_20m_53s/ResNet18-Cifar20-seed5-ret25-19-best.pth
Training Epoch: 20 [256/46200]	Loss: 0.4996	LR: 0.020000
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Training Epoch: 20 [46200/46200]	Loss: 0.5279	LR: 0.020000
Epoch 20 - Average Train Loss: 0.4607, Train Accuracy: 0.8473
Epoch 20 training time consumed: 27.39s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0030, Accuracy: 0.7664, Time consumed:0.90s
Training Epoch: 21 [256/46200]	Loss: 0.5040	LR: 0.020000
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Training Epoch: 21 [46200/46200]	Loss: 0.3887	LR: 0.020000
Epoch 21 - Average Train Loss: 0.4452, Train Accuracy: 0.8523
Epoch 21 training time consumed: 27.38s
Evaluating Network.....
Test set: Epoch: 21, Average loss: 0.0030, Accuracy: 0.7736, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_02h_20m_53s/ResNet18-Cifar20-seed5-ret25-21-best.pth
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Training Epoch: 22 [42496/46200]	Loss: 0.4439	LR: 0.020000
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Training Epoch: 22 [43008/46200]	Loss: 0.4151	LR: 0.020000
Training Epoch: 22 [43264/46200]	Loss: 0.4872	LR: 0.020000
Training Epoch: 22 [43520/46200]	Loss: 0.5325	LR: 0.020000
Training Epoch: 22 [43776/46200]	Loss: 0.4187	LR: 0.020000
Training Epoch: 22 [44032/46200]	Loss: 0.3620	LR: 0.020000
Training Epoch: 22 [44288/46200]	Loss: 0.4655	LR: 0.020000
Training Epoch: 22 [44544/46200]	Loss: 0.3920	LR: 0.020000
Training Epoch: 22 [44800/46200]	Loss: 0.4972	LR: 0.020000
Training Epoch: 22 [45056/46200]	Loss: 0.4175	LR: 0.020000
Training Epoch: 22 [45312/46200]	Loss: 0.4288	LR: 0.020000
Training Epoch: 22 [45568/46200]	Loss: 0.3888	LR: 0.020000
Training Epoch: 22 [45824/46200]	Loss: 0.4060	LR: 0.020000
Training Epoch: 22 [46080/46200]	Loss: 0.4249	LR: 0.020000
Training Epoch: 22 [46200/46200]	Loss: 0.4385	LR: 0.020000
Epoch 22 - Average Train Loss: 0.4280, Train Accuracy: 0.8596
Epoch 22 training time consumed: 27.59s
Evaluating Network.....
Test set: Epoch: 22, Average loss: 0.0031, Accuracy: 0.7679, Time consumed:0.90s
Training Epoch: 23 [256/46200]	Loss: 0.3875	LR: 0.020000
Training Epoch: 23 [512/46200]	Loss: 0.3461	LR: 0.020000
Training Epoch: 23 [768/46200]	Loss: 0.4279	LR: 0.020000
Training Epoch: 23 [1024/46200]	Loss: 0.3296	LR: 0.020000
Training Epoch: 23 [1280/46200]	Loss: 0.3978	LR: 0.020000
Training Epoch: 23 [1536/46200]	Loss: 0.4427	LR: 0.020000
Training Epoch: 23 [1792/46200]	Loss: 0.4462	LR: 0.020000
Training Epoch: 23 [2048/46200]	Loss: 0.4500	LR: 0.020000
Training Epoch: 23 [2304/46200]	Loss: 0.4625	LR: 0.020000
Training Epoch: 23 [2560/46200]	Loss: 0.4178	LR: 0.020000
Training Epoch: 23 [2816/46200]	Loss: 0.4125	LR: 0.020000
Training Epoch: 23 [3072/46200]	Loss: 0.3574	LR: 0.020000
Training Epoch: 23 [3328/46200]	Loss: 0.4752	LR: 0.020000
Training Epoch: 23 [3584/46200]	Loss: 0.3926	LR: 0.020000
Training Epoch: 23 [3840/46200]	Loss: 0.3588	LR: 0.020000
Training Epoch: 23 [4096/46200]	Loss: 0.3837	LR: 0.020000
Training Epoch: 23 [4352/46200]	Loss: 0.3765	LR: 0.020000
Training Epoch: 23 [4608/46200]	Loss: 0.3660	LR: 0.020000
Training Epoch: 23 [4864/46200]	Loss: 0.3758	LR: 0.020000
Training Epoch: 23 [5120/46200]	Loss: 0.4764	LR: 0.020000
Training Epoch: 23 [5376/46200]	Loss: 0.4267	LR: 0.020000
Training Epoch: 23 [5632/46200]	Loss: 0.3307	LR: 0.020000
Training Epoch: 23 [5888/46200]	Loss: 0.4377	LR: 0.020000
Training Epoch: 23 [6144/46200]	Loss: 0.4632	LR: 0.020000
Training Epoch: 23 [6400/46200]	Loss: 0.3834	LR: 0.020000
Training Epoch: 23 [6656/46200]	Loss: 0.4114	LR: 0.020000
Training Epoch: 23 [6912/46200]	Loss: 0.4031	LR: 0.020000
Training Epoch: 23 [7168/46200]	Loss: 0.4047	LR: 0.020000
Training Epoch: 23 [7424/46200]	Loss: 0.4483	LR: 0.020000
Training Epoch: 23 [7680/46200]	Loss: 0.3761	LR: 0.020000
Training Epoch: 23 [7936/46200]	Loss: 0.4271	LR: 0.020000
Training Epoch: 23 [8192/46200]	Loss: 0.2965	LR: 0.020000
Training Epoch: 23 [8448/46200]	Loss: 0.4039	LR: 0.020000
Training Epoch: 23 [8704/46200]	Loss: 0.3861	LR: 0.020000
Training Epoch: 23 [8960/46200]	Loss: 0.3979	LR: 0.020000
Training Epoch: 23 [9216/46200]	Loss: 0.3687	LR: 0.020000
Training Epoch: 23 [9472/46200]	Loss: 0.3504	LR: 0.020000
Training Epoch: 23 [9728/46200]	Loss: 0.3269	LR: 0.020000
Training Epoch: 23 [9984/46200]	Loss: 0.3587	LR: 0.020000
Training Epoch: 23 [10240/46200]	Loss: 0.4182	LR: 0.020000
Training Epoch: 23 [10496/46200]	Loss: 0.3397	LR: 0.020000
Training Epoch: 23 [10752/46200]	Loss: 0.3979	LR: 0.020000
Training Epoch: 23 [11008/46200]	Loss: 0.3906	LR: 0.020000
Training Epoch: 23 [11264/46200]	Loss: 0.3628	LR: 0.020000
Training Epoch: 23 [11520/46200]	Loss: 0.3763	LR: 0.020000
Training Epoch: 23 [11776/46200]	Loss: 0.3628	LR: 0.020000
Training Epoch: 23 [12032/46200]	Loss: 0.4356	LR: 0.020000
Training Epoch: 23 [12288/46200]	Loss: 0.4714	LR: 0.020000
Training Epoch: 23 [12544/46200]	Loss: 0.2905	LR: 0.020000
Training Epoch: 23 [12800/46200]	Loss: 0.4213	LR: 0.020000
Training Epoch: 23 [13056/46200]	Loss: 0.3465	LR: 0.020000
Training Epoch: 23 [13312/46200]	Loss: 0.4204	LR: 0.020000
Training Epoch: 23 [13568/46200]	Loss: 0.4771	LR: 0.020000
Training Epoch: 23 [13824/46200]	Loss: 0.4625	LR: 0.020000
Training Epoch: 23 [14080/46200]	Loss: 0.4054	LR: 0.020000
Training Epoch: 23 [14336/46200]	Loss: 0.4043	LR: 0.020000
Training Epoch: 23 [14592/46200]	Loss: 0.4182	LR: 0.020000
Training Epoch: 23 [14848/46200]	Loss: 0.3955	LR: 0.020000
Training Epoch: 23 [15104/46200]	Loss: 0.5378	LR: 0.020000
Training Epoch: 23 [15360/46200]	Loss: 0.3440	LR: 0.020000
Training Epoch: 23 [15616/46200]	Loss: 0.5089	LR: 0.020000
Training Epoch: 23 [15872/46200]	Loss: 0.3742	LR: 0.020000
Training Epoch: 23 [16128/46200]	Loss: 0.4783	LR: 0.020000
Training Epoch: 23 [16384/46200]	Loss: 0.3082	LR: 0.020000
Training Epoch: 23 [16640/46200]	Loss: 0.3651	LR: 0.020000
Training Epoch: 23 [16896/46200]	Loss: 0.3261	LR: 0.020000
Training Epoch: 23 [17152/46200]	Loss: 0.4048	LR: 0.020000
Training Epoch: 23 [17408/46200]	Loss: 0.5265	LR: 0.020000
Training Epoch: 23 [17664/46200]	Loss: 0.4676	LR: 0.020000
Training Epoch: 23 [17920/46200]	Loss: 0.3200	LR: 0.020000
Training Epoch: 23 [18176/46200]	Loss: 0.4670	LR: 0.020000
Training Epoch: 23 [18432/46200]	Loss: 0.4013	LR: 0.020000
Training Epoch: 23 [18688/46200]	Loss: 0.4022	LR: 0.020000
Training Epoch: 23 [18944/46200]	Loss: 0.3669	LR: 0.020000
Training Epoch: 23 [19200/46200]	Loss: 0.4993	LR: 0.020000
Training Epoch: 23 [19456/46200]	Loss: 0.4274	LR: 0.020000
Training Epoch: 23 [19712/46200]	Loss: 0.3632	LR: 0.020000
Training Epoch: 23 [19968/46200]	Loss: 0.4127	LR: 0.020000
Training Epoch: 23 [20224/46200]	Loss: 0.3454	LR: 0.020000
Training Epoch: 23 [20480/46200]	Loss: 0.3948	LR: 0.020000
Training Epoch: 23 [20736/46200]	Loss: 0.3819	LR: 0.020000
Training Epoch: 23 [20992/46200]	Loss: 0.4111	LR: 0.020000
Training Epoch: 23 [21248/46200]	Loss: 0.4395	LR: 0.020000
Training Epoch: 23 [21504/46200]	Loss: 0.3715	LR: 0.020000
Training Epoch: 23 [21760/46200]	Loss: 0.3579	LR: 0.020000
Training Epoch: 23 [22016/46200]	Loss: 0.4020	LR: 0.020000
Training Epoch: 23 [22272/46200]	Loss: 0.3939	LR: 0.020000
Training Epoch: 23 [22528/46200]	Loss: 0.4089	LR: 0.020000
Training Epoch: 23 [22784/46200]	Loss: 0.4518	LR: 0.020000
Training Epoch: 23 [23040/46200]	Loss: 0.4724	LR: 0.020000
Training Epoch: 23 [23296/46200]	Loss: 0.4354	LR: 0.020000
Training Epoch: 23 [23552/46200]	Loss: 0.4096	LR: 0.020000
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Training Epoch: 23 [27136/46200]	Loss: 0.4271	LR: 0.020000
Training Epoch: 23 [27392/46200]	Loss: 0.3439	LR: 0.020000
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Training Epoch: 23 [27904/46200]	Loss: 0.3932	LR: 0.020000
Training Epoch: 23 [28160/46200]	Loss: 0.3804	LR: 0.020000
Training Epoch: 23 [28416/46200]	Loss: 0.3932	LR: 0.020000
Training Epoch: 23 [28672/46200]	Loss: 0.4990	LR: 0.020000
Training Epoch: 23 [28928/46200]	Loss: 0.4000	LR: 0.020000
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Training Epoch: 23 [29440/46200]	Loss: 0.3939	LR: 0.020000
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Training Epoch: 23 [31232/46200]	Loss: 0.4069	LR: 0.020000
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Training Epoch: 23 [34304/46200]	Loss: 0.5001	LR: 0.020000
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Training Epoch: 23 [37888/46200]	Loss: 0.4049	LR: 0.020000
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Training Epoch: 23 [38656/46200]	Loss: 0.4219	LR: 0.020000
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Training Epoch: 23 [40192/46200]	Loss: 0.4397	LR: 0.020000
Training Epoch: 23 [40448/46200]	Loss: 0.4456	LR: 0.020000
Training Epoch: 23 [40704/46200]	Loss: 0.4010	LR: 0.020000
Training Epoch: 23 [40960/46200]	Loss: 0.3949	LR: 0.020000
Training Epoch: 23 [41216/46200]	Loss: 0.4849	LR: 0.020000
Training Epoch: 23 [41472/46200]	Loss: 0.4143	LR: 0.020000
Training Epoch: 23 [41728/46200]	Loss: 0.4839	LR: 0.020000
Training Epoch: 23 [41984/46200]	Loss: 0.4190	LR: 0.020000
Training Epoch: 23 [42240/46200]	Loss: 0.4078	LR: 0.020000
Training Epoch: 23 [42496/46200]	Loss: 0.4503	LR: 0.020000
Training Epoch: 23 [42752/46200]	Loss: 0.4365	LR: 0.020000
Training Epoch: 23 [43008/46200]	Loss: 0.4363	LR: 0.020000
Training Epoch: 23 [43264/46200]	Loss: 0.3759	LR: 0.020000
Training Epoch: 23 [43520/46200]	Loss: 0.5012	LR: 0.020000
Training Epoch: 23 [43776/46200]	Loss: 0.4642	LR: 0.020000
Training Epoch: 23 [44032/46200]	Loss: 0.4261	LR: 0.020000
Training Epoch: 23 [44288/46200]	Loss: 0.3954	LR: 0.020000
Training Epoch: 23 [44544/46200]	Loss: 0.3381	LR: 0.020000
Training Epoch: 23 [44800/46200]	Loss: 0.4312	LR: 0.020000
Training Epoch: 23 [45056/46200]	Loss: 0.4192	LR: 0.020000
Training Epoch: 23 [45312/46200]	Loss: 0.3213	LR: 0.020000
Training Epoch: 23 [45568/46200]	Loss: 0.3358	LR: 0.020000
Training Epoch: 23 [45824/46200]	Loss: 0.5266	LR: 0.020000
Training Epoch: 23 [46080/46200]	Loss: 0.5750	LR: 0.020000
Training Epoch: 23 [46200/46200]	Loss: 0.4334	LR: 0.020000
Epoch 23 - Average Train Loss: 0.4091, Train Accuracy: 0.8650
Epoch 23 training time consumed: 27.54s
Evaluating Network.....
Test set: Epoch: 23, Average loss: 0.0031, Accuracy: 0.7649, Time consumed:0.93s
Training Epoch: 24 [256/46200]	Loss: 0.3392	LR: 0.020000
Training Epoch: 24 [512/46200]	Loss: 0.4011	LR: 0.020000
Training Epoch: 24 [768/46200]	Loss: 0.3163	LR: 0.020000
Training Epoch: 24 [1024/46200]	Loss: 0.3521	LR: 0.020000
Training Epoch: 24 [1280/46200]	Loss: 0.3409	LR: 0.020000
Training Epoch: 24 [1536/46200]	Loss: 0.3925	LR: 0.020000
Training Epoch: 24 [1792/46200]	Loss: 0.3378	LR: 0.020000
Training Epoch: 24 [2048/46200]	Loss: 0.3683	LR: 0.020000
Training Epoch: 24 [2304/46200]	Loss: 0.3338	LR: 0.020000
Training Epoch: 24 [2560/46200]	Loss: 0.3539	LR: 0.020000
Training Epoch: 24 [2816/46200]	Loss: 0.3574	LR: 0.020000
Training Epoch: 24 [3072/46200]	Loss: 0.4321	LR: 0.020000
Training Epoch: 24 [3328/46200]	Loss: 0.3913	LR: 0.020000
Training Epoch: 24 [3584/46200]	Loss: 0.2916	LR: 0.020000
Training Epoch: 24 [3840/46200]	Loss: 0.4107	LR: 0.020000
Training Epoch: 24 [4096/46200]	Loss: 0.3588	LR: 0.020000
Training Epoch: 24 [4352/46200]	Loss: 0.4947	LR: 0.020000
Training Epoch: 24 [4608/46200]	Loss: 0.3593	LR: 0.020000
Training Epoch: 24 [4864/46200]	Loss: 0.3849	LR: 0.020000
Training Epoch: 24 [5120/46200]	Loss: 0.3451	LR: 0.020000
Training Epoch: 24 [5376/46200]	Loss: 0.3847	LR: 0.020000
Training Epoch: 24 [5632/46200]	Loss: 0.3975	LR: 0.020000
Training Epoch: 24 [5888/46200]	Loss: 0.4133	LR: 0.020000
Training Epoch: 24 [6144/46200]	Loss: 0.3482	LR: 0.020000
Training Epoch: 24 [6400/46200]	Loss: 0.3133	LR: 0.020000
Training Epoch: 24 [6656/46200]	Loss: 0.3985	LR: 0.020000
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Training Epoch: 24 [7168/46200]	Loss: 0.2861	LR: 0.020000
Training Epoch: 24 [7424/46200]	Loss: 0.3751	LR: 0.020000
Training Epoch: 24 [7680/46200]	Loss: 0.3260	LR: 0.020000
Training Epoch: 24 [7936/46200]	Loss: 0.3291	LR: 0.020000
Training Epoch: 24 [8192/46200]	Loss: 0.4013	LR: 0.020000
Training Epoch: 24 [8448/46200]	Loss: 0.3962	LR: 0.020000
Training Epoch: 24 [8704/46200]	Loss: 0.3987	LR: 0.020000
Training Epoch: 24 [8960/46200]	Loss: 0.3582	LR: 0.020000
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Training Epoch: 24 [9472/46200]	Loss: 0.2861	LR: 0.020000
Training Epoch: 24 [9728/46200]	Loss: 0.3617	LR: 0.020000
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Training Epoch: 24 [10496/46200]	Loss: 0.3266	LR: 0.020000
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Training Epoch: 24 [11008/46200]	Loss: 0.3891	LR: 0.020000
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Training Epoch: 24 [11520/46200]	Loss: 0.4192	LR: 0.020000
Training Epoch: 24 [11776/46200]	Loss: 0.2664	LR: 0.020000
Training Epoch: 24 [12032/46200]	Loss: 0.3418	LR: 0.020000
Training Epoch: 24 [12288/46200]	Loss: 0.3938	LR: 0.020000
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Training Epoch: 24 [15616/46200]	Loss: 0.3985	LR: 0.020000
Training Epoch: 24 [15872/46200]	Loss: 0.4371	LR: 0.020000
Training Epoch: 24 [16128/46200]	Loss: 0.3492	LR: 0.020000
Training Epoch: 24 [16384/46200]	Loss: 0.3294	LR: 0.020000
Training Epoch: 24 [16640/46200]	Loss: 0.3619	LR: 0.020000
Training Epoch: 24 [16896/46200]	Loss: 0.4052	LR: 0.020000
Training Epoch: 24 [17152/46200]	Loss: 0.3713	LR: 0.020000
Training Epoch: 24 [17408/46200]	Loss: 0.3312	LR: 0.020000
Training Epoch: 24 [17664/46200]	Loss: 0.4114	LR: 0.020000
Training Epoch: 24 [17920/46200]	Loss: 0.3638	LR: 0.020000
Training Epoch: 24 [18176/46200]	Loss: 0.4975	LR: 0.020000
Training Epoch: 24 [18432/46200]	Loss: 0.3290	LR: 0.020000
Training Epoch: 24 [18688/46200]	Loss: 0.3991	LR: 0.020000
Training Epoch: 24 [18944/46200]	Loss: 0.3370	LR: 0.020000
Training Epoch: 24 [19200/46200]	Loss: 0.4201	LR: 0.020000
Training Epoch: 24 [19456/46200]	Loss: 0.4144	LR: 0.020000
Training Epoch: 24 [19712/46200]	Loss: 0.3605	LR: 0.020000
Training Epoch: 24 [19968/46200]	Loss: 0.3244	LR: 0.020000
Training Epoch: 24 [20224/46200]	Loss: 0.4411	LR: 0.020000
Training Epoch: 24 [20480/46200]	Loss: 0.3747	LR: 0.020000
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Training Epoch: 24 [20992/46200]	Loss: 0.3238	LR: 0.020000
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Training Epoch: 24 [22016/46200]	Loss: 0.3780	LR: 0.020000
Training Epoch: 24 [22272/46200]	Loss: 0.5026	LR: 0.020000
Training Epoch: 24 [22528/46200]	Loss: 0.4320	LR: 0.020000
Training Epoch: 24 [22784/46200]	Loss: 0.4632	LR: 0.020000
Training Epoch: 24 [23040/46200]	Loss: 0.4439	LR: 0.020000
Training Epoch: 24 [23296/46200]	Loss: 0.3483	LR: 0.020000
Training Epoch: 24 [23552/46200]	Loss: 0.3248	LR: 0.020000
Training Epoch: 24 [23808/46200]	Loss: 0.4103	LR: 0.020000
Training Epoch: 24 [24064/46200]	Loss: 0.4241	LR: 0.020000
Training Epoch: 24 [24320/46200]	Loss: 0.3246	LR: 0.020000
Training Epoch: 24 [24576/46200]	Loss: 0.3341	LR: 0.020000
Training Epoch: 24 [24832/46200]	Loss: 0.4407	LR: 0.020000
Training Epoch: 24 [25088/46200]	Loss: 0.3707	LR: 0.020000
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Training Epoch: 24 [25600/46200]	Loss: 0.4855	LR: 0.020000
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Training Epoch: 24 [26368/46200]	Loss: 0.4236	LR: 0.020000
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Training Epoch: 24 [27392/46200]	Loss: 0.3417	LR: 0.020000
Training Epoch: 24 [27648/46200]	Loss: 0.2294	LR: 0.020000
Training Epoch: 24 [27904/46200]	Loss: 0.3383	LR: 0.020000
Training Epoch: 24 [28160/46200]	Loss: 0.4283	LR: 0.020000
Training Epoch: 24 [28416/46200]	Loss: 0.5157	LR: 0.020000
Training Epoch: 24 [28672/46200]	Loss: 0.4286	LR: 0.020000
Training Epoch: 24 [28928/46200]	Loss: 0.4865	LR: 0.020000
Training Epoch: 24 [29184/46200]	Loss: 0.3643	LR: 0.020000
Training Epoch: 24 [29440/46200]	Loss: 0.4167	LR: 0.020000
Training Epoch: 24 [29696/46200]	Loss: 0.4755	LR: 0.020000
Training Epoch: 24 [29952/46200]	Loss: 0.4009	LR: 0.020000
Training Epoch: 24 [30208/46200]	Loss: 0.4723	LR: 0.020000
Training Epoch: 24 [30464/46200]	Loss: 0.3699	LR: 0.020000
Training Epoch: 24 [30720/46200]	Loss: 0.4241	LR: 0.020000
Training Epoch: 24 [30976/46200]	Loss: 0.4285	LR: 0.020000
Training Epoch: 24 [31232/46200]	Loss: 0.4184	LR: 0.020000
Training Epoch: 24 [31488/46200]	Loss: 0.4123	LR: 0.020000
Training Epoch: 24 [31744/46200]	Loss: 0.4681	LR: 0.020000
Training Epoch: 24 [32000/46200]	Loss: 0.4486	LR: 0.020000
Training Epoch: 24 [32256/46200]	Loss: 0.4498	LR: 0.020000
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Training Epoch: 24 [34816/46200]	Loss: 0.3883	LR: 0.020000
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Training Epoch: 24 [38144/46200]	Loss: 0.3640	LR: 0.020000
Training Epoch: 24 [38400/46200]	Loss: 0.4685	LR: 0.020000
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Training Epoch: 24 [38912/46200]	Loss: 0.5165	LR: 0.020000
Training Epoch: 24 [39168/46200]	Loss: 0.4145	LR: 0.020000
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Training Epoch: 24 [39680/46200]	Loss: 0.4931	LR: 0.020000
Training Epoch: 24 [39936/46200]	Loss: 0.4437	LR: 0.020000
Training Epoch: 24 [40192/46200]	Loss: 0.4453	LR: 0.020000
Training Epoch: 24 [40448/46200]	Loss: 0.4984	LR: 0.020000
Training Epoch: 24 [40704/46200]	Loss: 0.3855	LR: 0.020000
Training Epoch: 24 [40960/46200]	Loss: 0.4395	LR: 0.020000
Training Epoch: 24 [41216/46200]	Loss: 0.3679	LR: 0.020000
Training Epoch: 24 [41472/46200]	Loss: 0.3818	LR: 0.020000
Training Epoch: 24 [41728/46200]	Loss: 0.2885	LR: 0.020000
Training Epoch: 24 [41984/46200]	Loss: 0.3338	LR: 0.020000
Training Epoch: 24 [42240/46200]	Loss: 0.4432	LR: 0.020000
Training Epoch: 24 [42496/46200]	Loss: 0.3692	LR: 0.020000
Training Epoch: 24 [42752/46200]	Loss: 0.4057	LR: 0.020000
Training Epoch: 24 [43008/46200]	Loss: 0.3524	LR: 0.020000
Training Epoch: 24 [43264/46200]	Loss: 0.3729	LR: 0.020000
Training Epoch: 24 [43520/46200]	Loss: 0.4571	LR: 0.020000
Training Epoch: 24 [43776/46200]	Loss: 0.3686	LR: 0.020000
Training Epoch: 24 [44032/46200]	Loss: 0.4486	LR: 0.020000
Training Epoch: 24 [44288/46200]	Loss: 0.4620	LR: 0.020000
Training Epoch: 24 [44544/46200]	Loss: 0.4643	LR: 0.020000
Training Epoch: 24 [44800/46200]	Loss: 0.4144	LR: 0.020000
Training Epoch: 24 [45056/46200]	Loss: 0.4363	LR: 0.020000
Training Epoch: 24 [45312/46200]	Loss: 0.3937	LR: 0.020000
Training Epoch: 24 [45568/46200]	Loss: 0.4365	LR: 0.020000
Training Epoch: 24 [45824/46200]	Loss: 0.4149	LR: 0.020000
Training Epoch: 24 [46080/46200]	Loss: 0.5568	LR: 0.020000
Training Epoch: 24 [46200/46200]	Loss: 0.5005	LR: 0.020000
Epoch 24 - Average Train Loss: 0.3965, Train Accuracy: 0.8673
Epoch 24 training time consumed: 27.54s
Evaluating Network.....
Test set: Epoch: 24, Average loss: 0.0032, Accuracy: 0.7672, Time consumed:0.88s
Training Epoch: 25 [256/46200]	Loss: 0.3965	LR: 0.020000
Training Epoch: 25 [512/46200]	Loss: 0.4223	LR: 0.020000
Training Epoch: 25 [768/46200]	Loss: 0.3367	LR: 0.020000
Training Epoch: 25 [1024/46200]	Loss: 0.4139	LR: 0.020000
Training Epoch: 25 [1280/46200]	Loss: 0.3005	LR: 0.020000
Training Epoch: 25 [1536/46200]	Loss: 0.3768	LR: 0.020000
Training Epoch: 25 [1792/46200]	Loss: 0.2708	LR: 0.020000
Training Epoch: 25 [2048/46200]	Loss: 0.3228	LR: 0.020000
Training Epoch: 25 [2304/46200]	Loss: 0.3671	LR: 0.020000
Training Epoch: 25 [2560/46200]	Loss: 0.3907	LR: 0.020000
Training Epoch: 25 [2816/46200]	Loss: 0.4910	LR: 0.020000
Training Epoch: 25 [3072/46200]	Loss: 0.3698	LR: 0.020000
Training Epoch: 25 [3328/46200]	Loss: 0.3921	LR: 0.020000
Training Epoch: 25 [3584/46200]	Loss: 0.3342	LR: 0.020000
Training Epoch: 25 [3840/46200]	Loss: 0.3381	LR: 0.020000
Training Epoch: 25 [4096/46200]	Loss: 0.4009	LR: 0.020000
Training Epoch: 25 [4352/46200]	Loss: 0.3853	LR: 0.020000
Training Epoch: 25 [4608/46200]	Loss: 0.3651	LR: 0.020000
Training Epoch: 25 [4864/46200]	Loss: 0.2816	LR: 0.020000
Training Epoch: 25 [5120/46200]	Loss: 0.3466	LR: 0.020000
Training Epoch: 25 [5376/46200]	Loss: 0.3097	LR: 0.020000
Training Epoch: 25 [5632/46200]	Loss: 0.3623	LR: 0.020000
Training Epoch: 25 [5888/46200]	Loss: 0.3845	LR: 0.020000
Training Epoch: 25 [6144/46200]	Loss: 0.3508	LR: 0.020000
Training Epoch: 25 [6400/46200]	Loss: 0.2977	LR: 0.020000
Training Epoch: 25 [6656/46200]	Loss: 0.3423	LR: 0.020000
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Training Epoch: 25 [7168/46200]	Loss: 0.3160	LR: 0.020000
Training Epoch: 25 [7424/46200]	Loss: 0.2991	LR: 0.020000
Training Epoch: 25 [7680/46200]	Loss: 0.4111	LR: 0.020000
Training Epoch: 25 [7936/46200]	Loss: 0.3948	LR: 0.020000
Training Epoch: 25 [8192/46200]	Loss: 0.3183	LR: 0.020000
Training Epoch: 25 [8448/46200]	Loss: 0.3544	LR: 0.020000
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Training Epoch: 25 [8960/46200]	Loss: 0.2882	LR: 0.020000
Training Epoch: 25 [9216/46200]	Loss: 0.3428	LR: 0.020000
Training Epoch: 25 [9472/46200]	Loss: 0.3988	LR: 0.020000
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Training Epoch: 25 [9984/46200]	Loss: 0.2941	LR: 0.020000
Training Epoch: 25 [10240/46200]	Loss: 0.4034	LR: 0.020000
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Training Epoch: 25 [11008/46200]	Loss: 0.3948	LR: 0.020000
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Training Epoch: 25 [23040/46200]	Loss: 0.4788	LR: 0.020000
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Training Epoch: 25 [26368/46200]	Loss: 0.3741	LR: 0.020000
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Training Epoch: 25 [27904/46200]	Loss: 0.4459	LR: 0.020000
Training Epoch: 25 [28160/46200]	Loss: 0.3981	LR: 0.020000
Training Epoch: 25 [28416/46200]	Loss: 0.2811	LR: 0.020000
Training Epoch: 25 [28672/46200]	Loss: 0.3539	LR: 0.020000
Training Epoch: 25 [28928/46200]	Loss: 0.4710	LR: 0.020000
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Training Epoch: 25 [29440/46200]	Loss: 0.4554	LR: 0.020000
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Training Epoch: 25 [40192/46200]	Loss: 0.4482	LR: 0.020000
Training Epoch: 25 [40448/46200]	Loss: 0.3160	LR: 0.020000
Training Epoch: 25 [40704/46200]	Loss: 0.4096	LR: 0.020000
Training Epoch: 25 [40960/46200]	Loss: 0.4897	LR: 0.020000
Training Epoch: 25 [41216/46200]	Loss: 0.4510	LR: 0.020000
Training Epoch: 25 [41472/46200]	Loss: 0.4039	LR: 0.020000
Training Epoch: 25 [41728/46200]	Loss: 0.3266	LR: 0.020000
Training Epoch: 25 [41984/46200]	Loss: 0.3588	LR: 0.020000
Training Epoch: 25 [42240/46200]	Loss: 0.3733	LR: 0.020000
Training Epoch: 25 [42496/46200]	Loss: 0.4464	LR: 0.020000
Training Epoch: 25 [42752/46200]	Loss: 0.3432	LR: 0.020000
Training Epoch: 25 [43008/46200]	Loss: 0.4594	LR: 0.020000
Training Epoch: 25 [43264/46200]	Loss: 0.3961	LR: 0.020000
Training Epoch: 25 [43520/46200]	Loss: 0.4271	LR: 0.020000
Training Epoch: 25 [43776/46200]	Loss: 0.4247	LR: 0.020000
Training Epoch: 25 [44032/46200]	Loss: 0.4201	LR: 0.020000
Training Epoch: 25 [44288/46200]	Loss: 0.4726	LR: 0.020000
Training Epoch: 25 [44544/46200]	Loss: 0.4090	LR: 0.020000
Training Epoch: 25 [44800/46200]	Loss: 0.4209	LR: 0.020000
Training Epoch: 25 [45056/46200]	Loss: 0.4601	LR: 0.020000
Training Epoch: 25 [45312/46200]	Loss: 0.4570	LR: 0.020000
Training Epoch: 25 [45568/46200]	Loss: 0.4968	LR: 0.020000
Training Epoch: 25 [45824/46200]	Loss: 0.4441	LR: 0.020000
Training Epoch: 25 [46080/46200]	Loss: 0.3998	LR: 0.020000
Training Epoch: 25 [46200/46200]	Loss: 0.5353	LR: 0.020000
Epoch 25 - Average Train Loss: 0.3804, Train Accuracy: 0.8734
Epoch 25 training time consumed: 27.47s
Evaluating Network.....
Test set: Epoch: 25, Average loss: 0.0034, Accuracy: 0.7543, Time consumed:0.94s
Training Epoch: 26 [256/46200]	Loss: 0.3636	LR: 0.020000
Training Epoch: 26 [512/46200]	Loss: 0.3241	LR: 0.020000
Training Epoch: 26 [768/46200]	Loss: 0.2966	LR: 0.020000
Training Epoch: 26 [1024/46200]	Loss: 0.3245	LR: 0.020000
Training Epoch: 26 [1280/46200]	Loss: 0.3176	LR: 0.020000
Training Epoch: 26 [1536/46200]	Loss: 0.2903	LR: 0.020000
Training Epoch: 26 [1792/46200]	Loss: 0.4233	LR: 0.020000
Training Epoch: 26 [2048/46200]	Loss: 0.3205	LR: 0.020000
Training Epoch: 26 [2304/46200]	Loss: 0.2937	LR: 0.020000
Training Epoch: 26 [2560/46200]	Loss: 0.3551	LR: 0.020000
Training Epoch: 26 [2816/46200]	Loss: 0.2899	LR: 0.020000
Training Epoch: 26 [3072/46200]	Loss: 0.4068	LR: 0.020000
Training Epoch: 26 [3328/46200]	Loss: 0.2671	LR: 0.020000
Training Epoch: 26 [3584/46200]	Loss: 0.2990	LR: 0.020000
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Training Epoch: 26 [5376/46200]	Loss: 0.4113	LR: 0.020000
Training Epoch: 26 [5632/46200]	Loss: 0.4190	LR: 0.020000
Training Epoch: 26 [5888/46200]	Loss: 0.3041	LR: 0.020000
Training Epoch: 26 [6144/46200]	Loss: 0.3145	LR: 0.020000
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Training Epoch: 26 [6656/46200]	Loss: 0.3419	LR: 0.020000
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Training Epoch: 26 [7168/46200]	Loss: 0.4027	LR: 0.020000
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Training Epoch: 26 [7680/46200]	Loss: 0.3731	LR: 0.020000
Training Epoch: 26 [7936/46200]	Loss: 0.3414	LR: 0.020000
Training Epoch: 26 [8192/46200]	Loss: 0.3416	LR: 0.020000
Training Epoch: 26 [8448/46200]	Loss: 0.2884	LR: 0.020000
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Training Epoch: 26 [8960/46200]	Loss: 0.2757	LR: 0.020000
Training Epoch: 26 [9216/46200]	Loss: 0.4212	LR: 0.020000
Training Epoch: 26 [9472/46200]	Loss: 0.4365	LR: 0.020000
Training Epoch: 26 [9728/46200]	Loss: 0.3869	LR: 0.020000
Training Epoch: 26 [9984/46200]	Loss: 0.3291	LR: 0.020000
Training Epoch: 26 [10240/46200]	Loss: 0.3970	LR: 0.020000
Training Epoch: 26 [10496/46200]	Loss: 0.3715	LR: 0.020000
Training Epoch: 26 [10752/46200]	Loss: 0.4114	LR: 0.020000
Training Epoch: 26 [11008/46200]	Loss: 0.3491	LR: 0.020000
Training Epoch: 26 [11264/46200]	Loss: 0.3566	LR: 0.020000
Training Epoch: 26 [11520/46200]	Loss: 0.3132	LR: 0.020000
Training Epoch: 26 [11776/46200]	Loss: 0.3250	LR: 0.020000
Training Epoch: 26 [12032/46200]	Loss: 0.4651	LR: 0.020000
Training Epoch: 26 [12288/46200]	Loss: 0.3865	LR: 0.020000
Training Epoch: 26 [12544/46200]	Loss: 0.3401	LR: 0.020000
Training Epoch: 26 [12800/46200]	Loss: 0.4694	LR: 0.020000
Training Epoch: 26 [13056/46200]	Loss: 0.4202	LR: 0.020000
Training Epoch: 26 [13312/46200]	Loss: 0.3742	LR: 0.020000
Training Epoch: 26 [13568/46200]	Loss: 0.3050	LR: 0.020000
Training Epoch: 26 [13824/46200]	Loss: 0.4631	LR: 0.020000
Training Epoch: 26 [14080/46200]	Loss: 0.4160	LR: 0.020000
Training Epoch: 26 [14336/46200]	Loss: 0.4268	LR: 0.020000
Training Epoch: 26 [14592/46200]	Loss: 0.3793	LR: 0.020000
Training Epoch: 26 [14848/46200]	Loss: 0.3173	LR: 0.020000
Training Epoch: 26 [15104/46200]	Loss: 0.3614	LR: 0.020000
Training Epoch: 26 [15360/46200]	Loss: 0.4065	LR: 0.020000
Training Epoch: 26 [15616/46200]	Loss: 0.3283	LR: 0.020000
Training Epoch: 26 [15872/46200]	Loss: 0.3485	LR: 0.020000
Training Epoch: 26 [16128/46200]	Loss: 0.4307	LR: 0.020000
Training Epoch: 26 [16384/46200]	Loss: 0.3053	LR: 0.020000
Training Epoch: 26 [16640/46200]	Loss: 0.3946	LR: 0.020000
Training Epoch: 26 [16896/46200]	Loss: 0.3571	LR: 0.020000
Training Epoch: 26 [17152/46200]	Loss: 0.3542	LR: 0.020000
Training Epoch: 26 [17408/46200]	Loss: 0.4215	LR: 0.020000
Training Epoch: 26 [17664/46200]	Loss: 0.3953	LR: 0.020000
Training Epoch: 26 [17920/46200]	Loss: 0.3757	LR: 0.020000
Training Epoch: 26 [18176/46200]	Loss: 0.4008	LR: 0.020000
Training Epoch: 26 [18432/46200]	Loss: 0.3218	LR: 0.020000
Training Epoch: 26 [18688/46200]	Loss: 0.3884	LR: 0.020000
Training Epoch: 26 [18944/46200]	Loss: 0.2857	LR: 0.020000
Training Epoch: 26 [19200/46200]	Loss: 0.4191	LR: 0.020000
Training Epoch: 26 [19456/46200]	Loss: 0.3559	LR: 0.020000
Training Epoch: 26 [19712/46200]	Loss: 0.4451	LR: 0.020000
Training Epoch: 26 [19968/46200]	Loss: 0.4563	LR: 0.020000
Training Epoch: 26 [20224/46200]	Loss: 0.3946	LR: 0.020000
Training Epoch: 26 [20480/46200]	Loss: 0.3048	LR: 0.020000
Training Epoch: 26 [20736/46200]	Loss: 0.3545	LR: 0.020000
Training Epoch: 26 [20992/46200]	Loss: 0.2754	LR: 0.020000
Training Epoch: 26 [21248/46200]	Loss: 0.3937	LR: 0.020000
Training Epoch: 26 [21504/46200]	Loss: 0.3765	LR: 0.020000
Training Epoch: 26 [21760/46200]	Loss: 0.4009	LR: 0.020000
Training Epoch: 26 [22016/46200]	Loss: 0.3627	LR: 0.020000
Training Epoch: 26 [22272/46200]	Loss: 0.3957	LR: 0.020000
Training Epoch: 26 [22528/46200]	Loss: 0.4039	LR: 0.020000
Training Epoch: 26 [22784/46200]	Loss: 0.4066	LR: 0.020000
Training Epoch: 26 [23040/46200]	Loss: 0.3738	LR: 0.020000
Training Epoch: 26 [23296/46200]	Loss: 0.3014	LR: 0.020000
Training Epoch: 26 [23552/46200]	Loss: 0.3393	LR: 0.020000
Training Epoch: 26 [23808/46200]	Loss: 0.3369	LR: 0.020000
Training Epoch: 26 [24064/46200]	Loss: 0.3222	LR: 0.020000
Training Epoch: 26 [24320/46200]	Loss: 0.4144	LR: 0.020000
Training Epoch: 26 [24576/46200]	Loss: 0.4145	LR: 0.020000
Training Epoch: 26 [24832/46200]	Loss: 0.3923	LR: 0.020000
Training Epoch: 26 [25088/46200]	Loss: 0.3590	LR: 0.020000
Training Epoch: 26 [25344/46200]	Loss: 0.3809	LR: 0.020000
Training Epoch: 26 [25600/46200]	Loss: 0.4160	LR: 0.020000
Training Epoch: 26 [25856/46200]	Loss: 0.3989	LR: 0.020000
Training Epoch: 26 [26112/46200]	Loss: 0.4096	LR: 0.020000
Training Epoch: 26 [26368/46200]	Loss: 0.2937	LR: 0.020000
Training Epoch: 26 [26624/46200]	Loss: 0.3233	LR: 0.020000
Training Epoch: 26 [26880/46200]	Loss: 0.3848	LR: 0.020000
Training Epoch: 26 [27136/46200]	Loss: 0.3116	LR: 0.020000
Training Epoch: 26 [27392/46200]	Loss: 0.3393	LR: 0.020000
Training Epoch: 26 [27648/46200]	Loss: 0.3794	LR: 0.020000
Training Epoch: 26 [27904/46200]	Loss: 0.4240	LR: 0.020000
Training Epoch: 26 [28160/46200]	Loss: 0.3286	LR: 0.020000
Training Epoch: 26 [28416/46200]	Loss: 0.3440	LR: 0.020000
Training Epoch: 26 [28672/46200]	Loss: 0.2957	LR: 0.020000
Training Epoch: 26 [28928/46200]	Loss: 0.3591	LR: 0.020000
Training Epoch: 26 [29184/46200]	Loss: 0.3577	LR: 0.020000
Training Epoch: 26 [29440/46200]	Loss: 0.3389	LR: 0.020000
Training Epoch: 26 [29696/46200]	Loss: 0.3839	LR: 0.020000
Training Epoch: 26 [29952/46200]	Loss: 0.3254	LR: 0.020000
Training Epoch: 26 [30208/46200]	Loss: 0.4063	LR: 0.020000
Training Epoch: 26 [30464/46200]	Loss: 0.3741	LR: 0.020000
Training Epoch: 26 [30720/46200]	Loss: 0.2809	LR: 0.020000
Training Epoch: 26 [30976/46200]	Loss: 0.4045	LR: 0.020000
Training Epoch: 26 [31232/46200]	Loss: 0.3627	LR: 0.020000
Training Epoch: 26 [31488/46200]	Loss: 0.3830	LR: 0.020000
Training Epoch: 26 [31744/46200]	Loss: 0.3637	LR: 0.020000
Training Epoch: 26 [32000/46200]	Loss: 0.4161	LR: 0.020000
Training Epoch: 26 [32256/46200]	Loss: 0.3943	LR: 0.020000
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Training Epoch: 26 [32768/46200]	Loss: 0.3829	LR: 0.020000
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Training Epoch: 26 [33280/46200]	Loss: 0.3694	LR: 0.020000
Training Epoch: 26 [33536/46200]	Loss: 0.3910	LR: 0.020000
Training Epoch: 26 [33792/46200]	Loss: 0.3736	LR: 0.020000
Training Epoch: 26 [34048/46200]	Loss: 0.3245	LR: 0.020000
Training Epoch: 26 [34304/46200]	Loss: 0.3568	LR: 0.020000
Training Epoch: 26 [34560/46200]	Loss: 0.3588	LR: 0.020000
Training Epoch: 26 [34816/46200]	Loss: 0.3947	LR: 0.020000
Training Epoch: 26 [35072/46200]	Loss: 0.3961	LR: 0.020000
Training Epoch: 26 [35328/46200]	Loss: 0.3106	LR: 0.020000
Training Epoch: 26 [35584/46200]	Loss: 0.2867	LR: 0.020000
Training Epoch: 26 [35840/46200]	Loss: 0.3925	LR: 0.020000
Training Epoch: 26 [36096/46200]	Loss: 0.3201	LR: 0.020000
Training Epoch: 26 [36352/46200]	Loss: 0.3850	LR: 0.020000
Training Epoch: 26 [36608/46200]	Loss: 0.4060	LR: 0.020000
Training Epoch: 26 [36864/46200]	Loss: 0.3401	LR: 0.020000
Training Epoch: 26 [37120/46200]	Loss: 0.4114	LR: 0.020000
Training Epoch: 26 [37376/46200]	Loss: 0.3542	LR: 0.020000
Training Epoch: 26 [37632/46200]	Loss: 0.3305	LR: 0.020000
Training Epoch: 26 [37888/46200]	Loss: 0.4616	LR: 0.020000
Training Epoch: 26 [38144/46200]	Loss: 0.3286	LR: 0.020000
Training Epoch: 26 [38400/46200]	Loss: 0.3312	LR: 0.020000
Training Epoch: 26 [38656/46200]	Loss: 0.4001	LR: 0.020000
Training Epoch: 26 [38912/46200]	Loss: 0.3753	LR: 0.020000
Training Epoch: 26 [39168/46200]	Loss: 0.3228	LR: 0.020000
Training Epoch: 26 [39424/46200]	Loss: 0.4135	LR: 0.020000
Training Epoch: 26 [39680/46200]	Loss: 0.3473	LR: 0.020000
Training Epoch: 26 [39936/46200]	Loss: 0.4113	LR: 0.020000
Training Epoch: 26 [40192/46200]	Loss: 0.3069	LR: 0.020000
Training Epoch: 26 [40448/46200]	Loss: 0.3919	LR: 0.020000
Training Epoch: 26 [40704/46200]	Loss: 0.3030	LR: 0.020000
Training Epoch: 26 [40960/46200]	Loss: 0.4244	LR: 0.020000
Training Epoch: 26 [41216/46200]	Loss: 0.4547	LR: 0.020000
Training Epoch: 26 [41472/46200]	Loss: 0.4655	LR: 0.020000
Training Epoch: 26 [41728/46200]	Loss: 0.4008	LR: 0.020000
Training Epoch: 26 [41984/46200]	Loss: 0.2959	LR: 0.020000
Training Epoch: 26 [42240/46200]	Loss: 0.3797	LR: 0.020000
Training Epoch: 26 [42496/46200]	Loss: 0.4200	LR: 0.020000
Training Epoch: 26 [42752/46200]	Loss: 0.3450	LR: 0.020000
Training Epoch: 26 [43008/46200]	Loss: 0.4312	LR: 0.020000
Training Epoch: 26 [43264/46200]	Loss: 0.4362	LR: 0.020000
Training Epoch: 26 [43520/46200]	Loss: 0.4113	LR: 0.020000
Training Epoch: 26 [43776/46200]	Loss: 0.3670	LR: 0.020000
Training Epoch: 26 [44032/46200]	Loss: 0.3379	LR: 0.020000
Training Epoch: 26 [44288/46200]	Loss: 0.4828	LR: 0.020000
Training Epoch: 26 [44544/46200]	Loss: 0.3364	LR: 0.020000
Training Epoch: 26 [44800/46200]	Loss: 0.3987	LR: 0.020000
Training Epoch: 26 [45056/46200]	Loss: 0.3530	LR: 0.020000
Training Epoch: 26 [45312/46200]	Loss: 0.4386	LR: 0.020000
Training Epoch: 26 [45568/46200]	Loss: 0.4722	LR: 0.020000
Training Epoch: 26 [45824/46200]	Loss: 0.3443	LR: 0.020000
Training Epoch: 26 [46080/46200]	Loss: 0.2826	LR: 0.020000
Training Epoch: 26 [46200/46200]	Loss: 0.3632	LR: 0.020000
Epoch 26 - Average Train Loss: 0.3688, Train Accuracy: 0.8776
Epoch 26 training time consumed: 27.67s
Evaluating Network.....
Test set: Epoch: 26, Average loss: 0.0034, Accuracy: 0.7525, Time consumed:0.95s
Training Epoch: 27 [256/46200]	Loss: 0.3993	LR: 0.020000
Training Epoch: 27 [512/46200]	Loss: 0.4317	LR: 0.020000
Training Epoch: 27 [768/46200]	Loss: 0.3329	LR: 0.020000
Training Epoch: 27 [1024/46200]	Loss: 0.3546	LR: 0.020000
Training Epoch: 27 [1280/46200]	Loss: 0.3271	LR: 0.020000
Training Epoch: 27 [1536/46200]	Loss: 0.3220	LR: 0.020000
Training Epoch: 27 [1792/46200]	Loss: 0.2731	LR: 0.020000
Training Epoch: 27 [2048/46200]	Loss: 0.2607	LR: 0.020000
Training Epoch: 27 [2304/46200]	Loss: 0.3665	LR: 0.020000
Training Epoch: 27 [2560/46200]	Loss: 0.3565	LR: 0.020000
Training Epoch: 27 [2816/46200]	Loss: 0.2319	LR: 0.020000
Training Epoch: 27 [3072/46200]	Loss: 0.3093	LR: 0.020000
Training Epoch: 27 [3328/46200]	Loss: 0.3424	LR: 0.020000
Training Epoch: 27 [3584/46200]	Loss: 0.3935	LR: 0.020000
Training Epoch: 27 [3840/46200]	Loss: 0.3481	LR: 0.020000
Training Epoch: 27 [4096/46200]	Loss: 0.3168	LR: 0.020000
Training Epoch: 27 [4352/46200]	Loss: 0.3606	LR: 0.020000
Training Epoch: 27 [4608/46200]	Loss: 0.2968	LR: 0.020000
Training Epoch: 27 [4864/46200]	Loss: 0.3792	LR: 0.020000
Training Epoch: 27 [5120/46200]	Loss: 0.3423	LR: 0.020000
Training Epoch: 27 [5376/46200]	Loss: 0.3242	LR: 0.020000
Training Epoch: 27 [5632/46200]	Loss: 0.3615	LR: 0.020000
Training Epoch: 27 [5888/46200]	Loss: 0.3504	LR: 0.020000
Training Epoch: 27 [6144/46200]	Loss: 0.4258	LR: 0.020000
Training Epoch: 27 [6400/46200]	Loss: 0.2531	LR: 0.020000
Training Epoch: 27 [6656/46200]	Loss: 0.3738	LR: 0.020000
Training Epoch: 27 [6912/46200]	Loss: 0.2619	LR: 0.020000
Training Epoch: 27 [7168/46200]	Loss: 0.3200	LR: 0.020000
Training Epoch: 27 [7424/46200]	Loss: 0.3387	LR: 0.020000
Training Epoch: 27 [7680/46200]	Loss: 0.2799	LR: 0.020000
Training Epoch: 27 [7936/46200]	Loss: 0.3276	LR: 0.020000
Training Epoch: 27 [8192/46200]	Loss: 0.4146	LR: 0.020000
Training Epoch: 27 [8448/46200]	Loss: 0.2703	LR: 0.020000
Training Epoch: 27 [8704/46200]	Loss: 0.3918	LR: 0.020000
Training Epoch: 27 [8960/46200]	Loss: 0.3387	LR: 0.020000
Training Epoch: 27 [9216/46200]	Loss: 0.3943	LR: 0.020000
Training Epoch: 27 [9472/46200]	Loss: 0.2599	LR: 0.020000
Training Epoch: 27 [9728/46200]	Loss: 0.4265	LR: 0.020000
Training Epoch: 27 [9984/46200]	Loss: 0.2459	LR: 0.020000
Training Epoch: 27 [10240/46200]	Loss: 0.3380	LR: 0.020000
Training Epoch: 27 [10496/46200]	Loss: 0.3108	LR: 0.020000
Training Epoch: 27 [10752/46200]	Loss: 0.4112	LR: 0.020000
Training Epoch: 27 [11008/46200]	Loss: 0.3854	LR: 0.020000
Training Epoch: 27 [11264/46200]	Loss: 0.3656	LR: 0.020000
Training Epoch: 27 [11520/46200]	Loss: 0.3009	LR: 0.020000
Training Epoch: 27 [11776/46200]	Loss: 0.3431	LR: 0.020000
Training Epoch: 27 [12032/46200]	Loss: 0.3491	LR: 0.020000
Training Epoch: 27 [12288/46200]	Loss: 0.4084	LR: 0.020000
Training Epoch: 27 [12544/46200]	Loss: 0.2755	LR: 0.020000
Training Epoch: 27 [12800/46200]	Loss: 0.2796	LR: 0.020000
Training Epoch: 27 [13056/46200]	Loss: 0.3013	LR: 0.020000
Training Epoch: 27 [13312/46200]	Loss: 0.3609	LR: 0.020000
Training Epoch: 27 [13568/46200]	Loss: 0.4000	LR: 0.020000
Training Epoch: 27 [13824/46200]	Loss: 0.3197	LR: 0.020000
Training Epoch: 27 [14080/46200]	Loss: 0.3763	LR: 0.020000
Training Epoch: 27 [14336/46200]	Loss: 0.4416	LR: 0.020000
Training Epoch: 27 [14592/46200]	Loss: 0.4469	LR: 0.020000
Training Epoch: 27 [14848/46200]	Loss: 0.2323	LR: 0.020000
Training Epoch: 27 [15104/46200]	Loss: 0.3343	LR: 0.020000
Training Epoch: 27 [15360/46200]	Loss: 0.3918	LR: 0.020000
Training Epoch: 27 [15616/46200]	Loss: 0.3549	LR: 0.020000
Training Epoch: 27 [15872/46200]	Loss: 0.3358	LR: 0.020000
Training Epoch: 27 [16128/46200]	Loss: 0.3179	LR: 0.020000
Training Epoch: 27 [16384/46200]	Loss: 0.3255	LR: 0.020000
Training Epoch: 27 [16640/46200]	Loss: 0.3825	LR: 0.020000
Training Epoch: 27 [16896/46200]	Loss: 0.2330	LR: 0.020000
Training Epoch: 27 [17152/46200]	Loss: 0.3945	LR: 0.020000
Training Epoch: 27 [17408/46200]	Loss: 0.3791	LR: 0.020000
Training Epoch: 27 [17664/46200]	Loss: 0.3657	LR: 0.020000
Training Epoch: 27 [17920/46200]	Loss: 0.3529	LR: 0.020000
Training Epoch: 27 [18176/46200]	Loss: 0.3517	LR: 0.020000
Training Epoch: 27 [18432/46200]	Loss: 0.2256	LR: 0.020000
Training Epoch: 27 [18688/46200]	Loss: 0.3321	LR: 0.020000
Training Epoch: 27 [18944/46200]	Loss: 0.3405	LR: 0.020000
Training Epoch: 27 [19200/46200]	Loss: 0.3504	LR: 0.020000
Training Epoch: 27 [19456/46200]	Loss: 0.2988	LR: 0.020000
Training Epoch: 27 [19712/46200]	Loss: 0.4001	LR: 0.020000
Training Epoch: 27 [19968/46200]	Loss: 0.3731	LR: 0.020000
Training Epoch: 27 [20224/46200]	Loss: 0.3109	LR: 0.020000
Training Epoch: 27 [20480/46200]	Loss: 0.3749	LR: 0.020000
Training Epoch: 27 [20736/46200]	Loss: 0.2790	LR: 0.020000
Training Epoch: 27 [20992/46200]	Loss: 0.3369	LR: 0.020000
Training Epoch: 27 [21248/46200]	Loss: 0.3728	LR: 0.020000
Training Epoch: 27 [21504/46200]	Loss: 0.3705	LR: 0.020000
Training Epoch: 27 [21760/46200]	Loss: 0.3233	LR: 0.020000
Training Epoch: 27 [22016/46200]	Loss: 0.2646	LR: 0.020000
Training Epoch: 27 [22272/46200]	Loss: 0.3177	LR: 0.020000
Training Epoch: 27 [22528/46200]	Loss: 0.5026	LR: 0.020000
Training Epoch: 27 [22784/46200]	Loss: 0.3832	LR: 0.020000
Training Epoch: 27 [23040/46200]	Loss: 0.3954	LR: 0.020000
Training Epoch: 27 [23296/46200]	Loss: 0.2913	LR: 0.020000
Training Epoch: 27 [23552/46200]	Loss: 0.3417	LR: 0.020000
Training Epoch: 27 [23808/46200]	Loss: 0.3663	LR: 0.020000
Training Epoch: 27 [24064/46200]	Loss: 0.3325	LR: 0.020000
Training Epoch: 27 [24320/46200]	Loss: 0.3208	LR: 0.020000
Training Epoch: 27 [24576/46200]	Loss: 0.3805	LR: 0.020000
Training Epoch: 27 [24832/46200]	Loss: 0.3116	LR: 0.020000
Training Epoch: 27 [25088/46200]	Loss: 0.3438	LR: 0.020000
Training Epoch: 27 [25344/46200]	Loss: 0.3695	LR: 0.020000
Training Epoch: 27 [25600/46200]	Loss: 0.4617	LR: 0.020000
Training Epoch: 27 [25856/46200]	Loss: 0.3947	LR: 0.020000
Training Epoch: 27 [26112/46200]	Loss: 0.3689	LR: 0.020000
Training Epoch: 27 [26368/46200]	Loss: 0.3233	LR: 0.020000
Training Epoch: 27 [26624/46200]	Loss: 0.4081	LR: 0.020000
Training Epoch: 27 [26880/46200]	Loss: 0.3649	LR: 0.020000
Training Epoch: 27 [27136/46200]	Loss: 0.3334	LR: 0.020000
Training Epoch: 27 [27392/46200]	Loss: 0.3924	LR: 0.020000
Training Epoch: 27 [27648/46200]	Loss: 0.3774	LR: 0.020000
Training Epoch: 27 [27904/46200]	Loss: 0.3419	LR: 0.020000
Training Epoch: 27 [28160/46200]	Loss: 0.3614	LR: 0.020000
Training Epoch: 27 [28416/46200]	Loss: 0.3516	LR: 0.020000
Training Epoch: 27 [28672/46200]	Loss: 0.3946	LR: 0.020000
Training Epoch: 27 [28928/46200]	Loss: 0.4340	LR: 0.020000
Training Epoch: 27 [29184/46200]	Loss: 0.4107	LR: 0.020000
Training Epoch: 27 [29440/46200]	Loss: 0.4152	LR: 0.020000
Training Epoch: 27 [29696/46200]	Loss: 0.5423	LR: 0.020000
Training Epoch: 27 [29952/46200]	Loss: 0.3786	LR: 0.020000
Training Epoch: 27 [30208/46200]	Loss: 0.2664	LR: 0.020000
Training Epoch: 27 [30464/46200]	Loss: 0.3336	LR: 0.020000
Training Epoch: 27 [30720/46200]	Loss: 0.3304	LR: 0.020000
Training Epoch: 27 [30976/46200]	Loss: 0.2850	LR: 0.020000
Training Epoch: 27 [31232/46200]	Loss: 0.3513	LR: 0.020000
Training Epoch: 27 [31488/46200]	Loss: 0.3409	LR: 0.020000
Training Epoch: 27 [31744/46200]	Loss: 0.4008	LR: 0.020000
Training Epoch: 27 [32000/46200]	Loss: 0.3696	LR: 0.020000
Training Epoch: 27 [32256/46200]	Loss: 0.3748	LR: 0.020000
Training Epoch: 27 [32512/46200]	Loss: 0.3876	LR: 0.020000
Training Epoch: 27 [32768/46200]	Loss: 0.3721	LR: 0.020000
Training Epoch: 27 [33024/46200]	Loss: 0.4728	LR: 0.020000
Training Epoch: 27 [33280/46200]	Loss: 0.3577	LR: 0.020000
Training Epoch: 27 [33536/46200]	Loss: 0.2896	LR: 0.020000
Training Epoch: 27 [33792/46200]	Loss: 0.3393	LR: 0.020000
Training Epoch: 27 [34048/46200]	Loss: 0.3215	LR: 0.020000
Training Epoch: 27 [34304/46200]	Loss: 0.3759	LR: 0.020000
Training Epoch: 27 [34560/46200]	Loss: 0.3320	LR: 0.020000
Training Epoch: 27 [34816/46200]	Loss: 0.3559	LR: 0.020000
Training Epoch: 27 [35072/46200]	Loss: 0.3590	LR: 0.020000
Training Epoch: 27 [35328/46200]	Loss: 0.3703	LR: 0.020000
Training Epoch: 27 [35584/46200]	Loss: 0.4717	LR: 0.020000
Training Epoch: 27 [35840/46200]	Loss: 0.3220	LR: 0.020000
Training Epoch: 27 [36096/46200]	Loss: 0.4084	LR: 0.020000
Training Epoch: 27 [36352/46200]	Loss: 0.3899	LR: 0.020000
Training Epoch: 27 [36608/46200]	Loss: 0.3088	LR: 0.020000
Training Epoch: 27 [36864/46200]	Loss: 0.2826	LR: 0.020000
Training Epoch: 27 [37120/46200]	Loss: 0.3319	LR: 0.020000
Training Epoch: 27 [37376/46200]	Loss: 0.4484	LR: 0.020000
Training Epoch: 27 [37632/46200]	Loss: 0.4379	LR: 0.020000
Training Epoch: 27 [37888/46200]	Loss: 0.3332	LR: 0.020000
Training Epoch: 27 [38144/46200]	Loss: 0.3942	LR: 0.020000
Training Epoch: 27 [38400/46200]	Loss: 0.3043	LR: 0.020000
Training Epoch: 27 [38656/46200]	Loss: 0.3270	LR: 0.020000
Training Epoch: 27 [38912/46200]	Loss: 0.3837	LR: 0.020000
Training Epoch: 27 [39168/46200]	Loss: 0.4061	LR: 0.020000
Training Epoch: 27 [39424/46200]	Loss: 0.3299	LR: 0.020000
Training Epoch: 27 [39680/46200]	Loss: 0.3895	LR: 0.020000
Training Epoch: 27 [39936/46200]	Loss: 0.3231	LR: 0.020000
Training Epoch: 27 [40192/46200]	Loss: 0.3801	LR: 0.020000
Training Epoch: 27 [40448/46200]	Loss: 0.3645	LR: 0.020000
Training Epoch: 27 [40704/46200]	Loss: 0.3226	LR: 0.020000
Training Epoch: 27 [40960/46200]	Loss: 0.2776	LR: 0.020000
Training Epoch: 27 [41216/46200]	Loss: 0.3507	LR: 0.020000
Training Epoch: 27 [41472/46200]	Loss: 0.3617	LR: 0.020000
Training Epoch: 27 [41728/46200]	Loss: 0.3985	LR: 0.020000
Training Epoch: 27 [41984/46200]	Loss: 0.3621	LR: 0.020000
Training Epoch: 27 [42240/46200]	Loss: 0.4845	LR: 0.020000
Training Epoch: 27 [42496/46200]	Loss: 0.3988	LR: 0.020000
Training Epoch: 27 [42752/46200]	Loss: 0.3044	LR: 0.020000
Training Epoch: 27 [43008/46200]	Loss: 0.3898	LR: 0.020000
Training Epoch: 27 [43264/46200]	Loss: 0.3970	LR: 0.020000
Training Epoch: 27 [43520/46200]	Loss: 0.3961	LR: 0.020000
Training Epoch: 27 [43776/46200]	Loss: 0.4247	LR: 0.020000
Training Epoch: 27 [44032/46200]	Loss: 0.3964	LR: 0.020000
Training Epoch: 27 [44288/46200]	Loss: 0.4073	LR: 0.020000
Training Epoch: 27 [44544/46200]	Loss: 0.3561	LR: 0.020000
Training Epoch: 27 [44800/46200]	Loss: 0.3788	LR: 0.020000
Training Epoch: 27 [45056/46200]	Loss: 0.3757	LR: 0.020000
Training Epoch: 27 [45312/46200]	Loss: 0.4320	LR: 0.020000
Training Epoch: 27 [45568/46200]	Loss: 0.4375	LR: 0.020000
Training Epoch: 27 [45824/46200]	Loss: 0.4019	LR: 0.020000
Training Epoch: 27 [46080/46200]	Loss: 0.3692	LR: 0.020000
Training Epoch: 27 [46200/46200]	Loss: 0.5925	LR: 0.020000
Epoch 27 - Average Train Loss: 0.3566, Train Accuracy: 0.8814
Epoch 27 training time consumed: 27.58s
Evaluating Network.....
Test set: Epoch: 27, Average loss: 0.0034, Accuracy: 0.7549, Time consumed:0.88s
Training Epoch: 28 [256/46200]	Loss: 0.3328	LR: 0.020000
Training Epoch: 28 [512/46200]	Loss: 0.3773	LR: 0.020000
Training Epoch: 28 [768/46200]	Loss: 0.3425	LR: 0.020000
Training Epoch: 28 [1024/46200]	Loss: 0.3241	LR: 0.020000
Training Epoch: 28 [1280/46200]	Loss: 0.2634	LR: 0.020000
Training Epoch: 28 [1536/46200]	Loss: 0.2496	LR: 0.020000
Training Epoch: 28 [1792/46200]	Loss: 0.2579	LR: 0.020000
Training Epoch: 28 [2048/46200]	Loss: 0.3393	LR: 0.020000
Training Epoch: 28 [2304/46200]	Loss: 0.3431	LR: 0.020000
Training Epoch: 28 [2560/46200]	Loss: 0.3022	LR: 0.020000
Training Epoch: 28 [2816/46200]	Loss: 0.3189	LR: 0.020000
Training Epoch: 28 [3072/46200]	Loss: 0.4050	LR: 0.020000
Training Epoch: 28 [3328/46200]	Loss: 0.2905	LR: 0.020000
Training Epoch: 28 [3584/46200]	Loss: 0.2866	LR: 0.020000
Training Epoch: 28 [3840/46200]	Loss: 0.3034	LR: 0.020000
Training Epoch: 28 [4096/46200]	Loss: 0.3111	LR: 0.020000
Training Epoch: 28 [4352/46200]	Loss: 0.3120	LR: 0.020000
Training Epoch: 28 [4608/46200]	Loss: 0.2885	LR: 0.020000
Training Epoch: 28 [4864/46200]	Loss: 0.2938	LR: 0.020000
Training Epoch: 28 [5120/46200]	Loss: 0.3478	LR: 0.020000
Training Epoch: 28 [5376/46200]	Loss: 0.3775	LR: 0.020000
Training Epoch: 28 [5632/46200]	Loss: 0.2325	LR: 0.020000
Training Epoch: 28 [5888/46200]	Loss: 0.3456	LR: 0.020000
Training Epoch: 28 [6144/46200]	Loss: 0.3079	LR: 0.020000
Training Epoch: 28 [6400/46200]	Loss: 0.3706	LR: 0.020000
Training Epoch: 28 [6656/46200]	Loss: 0.3319	LR: 0.020000
Training Epoch: 28 [6912/46200]	Loss: 0.2795	LR: 0.020000
Training Epoch: 28 [7168/46200]	Loss: 0.3136	LR: 0.020000
Training Epoch: 28 [7424/46200]	Loss: 0.3593	LR: 0.020000
Training Epoch: 28 [7680/46200]	Loss: 0.3778	LR: 0.020000
Training Epoch: 28 [7936/46200]	Loss: 0.3440	LR: 0.020000
Training Epoch: 28 [8192/46200]	Loss: 0.3256	LR: 0.020000
Training Epoch: 28 [8448/46200]	Loss: 0.3790	LR: 0.020000
Training Epoch: 28 [8704/46200]	Loss: 0.3352	LR: 0.020000
Training Epoch: 28 [8960/46200]	Loss: 0.3285	LR: 0.020000
Training Epoch: 28 [9216/46200]	Loss: 0.3350	LR: 0.020000
Training Epoch: 28 [9472/46200]	Loss: 0.3879	LR: 0.020000
Training Epoch: 28 [9728/46200]	Loss: 0.2900	LR: 0.020000
Training Epoch: 28 [9984/46200]	Loss: 0.2675	LR: 0.020000
Training Epoch: 28 [10240/46200]	Loss: 0.3925	LR: 0.020000
Training Epoch: 28 [10496/46200]	Loss: 0.2883	LR: 0.020000
Training Epoch: 28 [10752/46200]	Loss: 0.3517	LR: 0.020000
Training Epoch: 28 [11008/46200]	Loss: 0.2828	LR: 0.020000
Training Epoch: 28 [11264/46200]	Loss: 0.3463	LR: 0.020000
Training Epoch: 28 [11520/46200]	Loss: 0.3465	LR: 0.020000
Training Epoch: 28 [11776/46200]	Loss: 0.3308	LR: 0.020000
Training Epoch: 28 [12032/46200]	Loss: 0.2333	LR: 0.020000
Training Epoch: 28 [12288/46200]	Loss: 0.3452	LR: 0.020000
Training Epoch: 28 [12544/46200]	Loss: 0.3647	LR: 0.020000
Training Epoch: 28 [12800/46200]	Loss: 0.2939	LR: 0.020000
Training Epoch: 28 [13056/46200]	Loss: 0.2948	LR: 0.020000
Training Epoch: 28 [13312/46200]	Loss: 0.2914	LR: 0.020000
Training Epoch: 28 [13568/46200]	Loss: 0.3441	LR: 0.020000
Training Epoch: 28 [13824/46200]	Loss: 0.4213	LR: 0.020000
Training Epoch: 28 [14080/46200]	Loss: 0.3468	LR: 0.020000
Training Epoch: 28 [14336/46200]	Loss: 0.2969	LR: 0.020000
Training Epoch: 28 [14592/46200]	Loss: 0.2868	LR: 0.020000
Training Epoch: 28 [14848/46200]	Loss: 0.3517	LR: 0.020000
Training Epoch: 28 [15104/46200]	Loss: 0.3059	LR: 0.020000
Training Epoch: 28 [15360/46200]	Loss: 0.3967	LR: 0.020000
Training Epoch: 28 [15616/46200]	Loss: 0.3444	LR: 0.020000
Training Epoch: 28 [15872/46200]	Loss: 0.3701	LR: 0.020000
Training Epoch: 28 [16128/46200]	Loss: 0.3165	LR: 0.020000
Training Epoch: 28 [16384/46200]	Loss: 0.3483	LR: 0.020000
Training Epoch: 28 [16640/46200]	Loss: 0.3462	LR: 0.020000
Training Epoch: 28 [16896/46200]	Loss: 0.3596	LR: 0.020000
Training Epoch: 28 [17152/46200]	Loss: 0.2352	LR: 0.020000
Training Epoch: 28 [17408/46200]	Loss: 0.4257	LR: 0.020000
Training Epoch: 28 [17664/46200]	Loss: 0.3919	LR: 0.020000
Training Epoch: 28 [17920/46200]	Loss: 0.3595	LR: 0.020000
Training Epoch: 28 [18176/46200]	Loss: 0.4760	LR: 0.020000
Training Epoch: 28 [18432/46200]	Loss: 0.3773	LR: 0.020000
Training Epoch: 28 [18688/46200]	Loss: 0.2949	LR: 0.020000
Training Epoch: 28 [18944/46200]	Loss: 0.2926	LR: 0.020000
Training Epoch: 28 [19200/46200]	Loss: 0.3172	LR: 0.020000
Training Epoch: 28 [19456/46200]	Loss: 0.3284	LR: 0.020000
Training Epoch: 28 [19712/46200]	Loss: 0.3812	LR: 0.020000
Training Epoch: 28 [19968/46200]	Loss: 0.3352	LR: 0.020000
Training Epoch: 28 [20224/46200]	Loss: 0.3862	LR: 0.020000
Training Epoch: 28 [20480/46200]	Loss: 0.3566	LR: 0.020000
Training Epoch: 28 [20736/46200]	Loss: 0.4076	LR: 0.020000
Training Epoch: 28 [20992/46200]	Loss: 0.3444	LR: 0.020000
Training Epoch: 28 [21248/46200]	Loss: 0.4168	LR: 0.020000
Training Epoch: 28 [21504/46200]	Loss: 0.3803	LR: 0.020000
Training Epoch: 28 [21760/46200]	Loss: 0.2748	LR: 0.020000
Training Epoch: 28 [22016/46200]	Loss: 0.3698	LR: 0.020000
Training Epoch: 28 [22272/46200]	Loss: 0.3025	LR: 0.020000
Training Epoch: 28 [22528/46200]	Loss: 0.3736	LR: 0.020000
Training Epoch: 28 [22784/46200]	Loss: 0.3706	LR: 0.020000
Training Epoch: 28 [23040/46200]	Loss: 0.3215	LR: 0.020000
Training Epoch: 28 [23296/46200]	Loss: 0.3468	LR: 0.020000
Training Epoch: 28 [23552/46200]	Loss: 0.2848	LR: 0.020000
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Training Epoch: 28 [24064/46200]	Loss: 0.3384	LR: 0.020000
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Training Epoch: 28 [24832/46200]	Loss: 0.3169	LR: 0.020000
Training Epoch: 28 [25088/46200]	Loss: 0.3273	LR: 0.020000
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Training Epoch: 28 [25856/46200]	Loss: 0.3068	LR: 0.020000
Training Epoch: 28 [26112/46200]	Loss: 0.3802	LR: 0.020000
Training Epoch: 28 [26368/46200]	Loss: 0.4090	LR: 0.020000
Training Epoch: 28 [26624/46200]	Loss: 0.3385	LR: 0.020000
Training Epoch: 28 [26880/46200]	Loss: 0.3339	LR: 0.020000
Training Epoch: 28 [27136/46200]	Loss: 0.3300	LR: 0.020000
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Training Epoch: 28 [27904/46200]	Loss: 0.4205	LR: 0.020000
Training Epoch: 28 [28160/46200]	Loss: 0.3500	LR: 0.020000
Training Epoch: 28 [28416/46200]	Loss: 0.3212	LR: 0.020000
Training Epoch: 28 [28672/46200]	Loss: 0.3176	LR: 0.020000
Training Epoch: 28 [28928/46200]	Loss: 0.3107	LR: 0.020000
Training Epoch: 28 [29184/46200]	Loss: 0.3668	LR: 0.020000
Training Epoch: 28 [29440/46200]	Loss: 0.3726	LR: 0.020000
Training Epoch: 28 [29696/46200]	Loss: 0.4164	LR: 0.020000
Training Epoch: 28 [29952/46200]	Loss: 0.3732	LR: 0.020000
Training Epoch: 28 [30208/46200]	Loss: 0.3850	LR: 0.020000
Training Epoch: 28 [30464/46200]	Loss: 0.3979	LR: 0.020000
Training Epoch: 28 [30720/46200]	Loss: 0.3947	LR: 0.020000
Training Epoch: 28 [30976/46200]	Loss: 0.3841	LR: 0.020000
Training Epoch: 28 [31232/46200]	Loss: 0.3043	LR: 0.020000
Training Epoch: 28 [31488/46200]	Loss: 0.3956	LR: 0.020000
Training Epoch: 28 [31744/46200]	Loss: 0.4250	LR: 0.020000
Training Epoch: 28 [32000/46200]	Loss: 0.3173	LR: 0.020000
Training Epoch: 28 [32256/46200]	Loss: 0.3739	LR: 0.020000
Training Epoch: 28 [32512/46200]	Loss: 0.2973	LR: 0.020000
Training Epoch: 28 [32768/46200]	Loss: 0.4037	LR: 0.020000
Training Epoch: 28 [33024/46200]	Loss: 0.3747	LR: 0.020000
Training Epoch: 28 [33280/46200]	Loss: 0.3680	LR: 0.020000
Training Epoch: 28 [33536/46200]	Loss: 0.3463	LR: 0.020000
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Training Epoch: 28 [34048/46200]	Loss: 0.2964	LR: 0.020000
Training Epoch: 28 [34304/46200]	Loss: 0.4119	LR: 0.020000
Training Epoch: 28 [34560/46200]	Loss: 0.3626	LR: 0.020000
Training Epoch: 28 [34816/46200]	Loss: 0.4168	LR: 0.020000
Training Epoch: 28 [35072/46200]	Loss: 0.3029	LR: 0.020000
Training Epoch: 28 [35328/46200]	Loss: 0.2826	LR: 0.020000
Training Epoch: 28 [35584/46200]	Loss: 0.3870	LR: 0.020000
Training Epoch: 28 [35840/46200]	Loss: 0.4128	LR: 0.020000
Training Epoch: 28 [36096/46200]	Loss: 0.4240	LR: 0.020000
Training Epoch: 28 [36352/46200]	Loss: 0.3043	LR: 0.020000
Training Epoch: 28 [36608/46200]	Loss: 0.3240	LR: 0.020000
Training Epoch: 28 [36864/46200]	Loss: 0.2540	LR: 0.020000
Training Epoch: 28 [37120/46200]	Loss: 0.3152	LR: 0.020000
Training Epoch: 28 [37376/46200]	Loss: 0.3031	LR: 0.020000
Training Epoch: 28 [37632/46200]	Loss: 0.2950	LR: 0.020000
Training Epoch: 28 [37888/46200]	Loss: 0.2993	LR: 0.020000
Training Epoch: 28 [38144/46200]	Loss: 0.4186	LR: 0.020000
Training Epoch: 28 [38400/46200]	Loss: 0.3037	LR: 0.020000
Training Epoch: 28 [38656/46200]	Loss: 0.3302	LR: 0.020000
Training Epoch: 28 [38912/46200]	Loss: 0.2685	LR: 0.020000
Training Epoch: 28 [39168/46200]	Loss: 0.4640	LR: 0.020000
Training Epoch: 28 [39424/46200]	Loss: 0.3134	LR: 0.020000
Training Epoch: 28 [39680/46200]	Loss: 0.3617	LR: 0.020000
Training Epoch: 28 [39936/46200]	Loss: 0.3261	LR: 0.020000
Training Epoch: 28 [40192/46200]	Loss: 0.3647	LR: 0.020000
Training Epoch: 28 [40448/46200]	Loss: 0.4229	LR: 0.020000
Training Epoch: 28 [40704/46200]	Loss: 0.3236	LR: 0.020000
Training Epoch: 28 [40960/46200]	Loss: 0.3230	LR: 0.020000
Training Epoch: 28 [41216/46200]	Loss: 0.3773	LR: 0.020000
Training Epoch: 28 [41472/46200]	Loss: 0.3420	LR: 0.020000
Training Epoch: 28 [41728/46200]	Loss: 0.5074	LR: 0.020000
Training Epoch: 28 [41984/46200]	Loss: 0.3135	LR: 0.020000
Training Epoch: 28 [42240/46200]	Loss: 0.3487	LR: 0.020000
Training Epoch: 28 [42496/46200]	Loss: 0.3192	LR: 0.020000
Training Epoch: 28 [42752/46200]	Loss: 0.3170	LR: 0.020000
Training Epoch: 28 [43008/46200]	Loss: 0.3754	LR: 0.020000
Training Epoch: 28 [43264/46200]	Loss: 0.2991	LR: 0.020000
Training Epoch: 28 [43520/46200]	Loss: 0.3614	LR: 0.020000
Training Epoch: 28 [43776/46200]	Loss: 0.3831	LR: 0.020000
Training Epoch: 28 [44032/46200]	Loss: 0.3233	LR: 0.020000
Training Epoch: 28 [44288/46200]	Loss: 0.3463	LR: 0.020000
Training Epoch: 28 [44544/46200]	Loss: 0.3766	LR: 0.020000
Training Epoch: 28 [44800/46200]	Loss: 0.3570	LR: 0.020000
Training Epoch: 28 [45056/46200]	Loss: 0.3321	LR: 0.020000
Training Epoch: 28 [45312/46200]	Loss: 0.4841	LR: 0.020000
Training Epoch: 28 [45568/46200]	Loss: 0.3476	LR: 0.020000
Training Epoch: 28 [45824/46200]	Loss: 0.3156	LR: 0.020000
Training Epoch: 28 [46080/46200]	Loss: 0.3729	LR: 0.020000
Training Epoch: 28 [46200/46200]	Loss: 0.3493	LR: 0.020000
Epoch 28 - Average Train Loss: 0.3433, Train Accuracy: 0.8835
Epoch 28 training time consumed: 27.63s
Evaluating Network.....
Test set: Epoch: 28, Average loss: 0.0032, Accuracy: 0.7707, Time consumed:0.93s
Training Epoch: 29 [256/46200]	Loss: 0.2582	LR: 0.020000
Training Epoch: 29 [512/46200]	Loss: 0.2523	LR: 0.020000
Training Epoch: 29 [768/46200]	Loss: 0.3196	LR: 0.020000
Training Epoch: 29 [1024/46200]	Loss: 0.3225	LR: 0.020000
Training Epoch: 29 [1280/46200]	Loss: 0.2970	LR: 0.020000
Training Epoch: 29 [1536/46200]	Loss: 0.3855	LR: 0.020000
Training Epoch: 29 [1792/46200]	Loss: 0.3088	LR: 0.020000
Training Epoch: 29 [2048/46200]	Loss: 0.3790	LR: 0.020000
Training Epoch: 29 [2304/46200]	Loss: 0.2842	LR: 0.020000
Training Epoch: 29 [2560/46200]	Loss: 0.2494	LR: 0.020000
Training Epoch: 29 [2816/46200]	Loss: 0.3884	LR: 0.020000
Training Epoch: 29 [3072/46200]	Loss: 0.2993	LR: 0.020000
Training Epoch: 29 [3328/46200]	Loss: 0.2686	LR: 0.020000
Training Epoch: 29 [3584/46200]	Loss: 0.2642	LR: 0.020000
Training Epoch: 29 [3840/46200]	Loss: 0.3447	LR: 0.020000
Training Epoch: 29 [4096/46200]	Loss: 0.4144	LR: 0.020000
Training Epoch: 29 [4352/46200]	Loss: 0.3074	LR: 0.020000
Training Epoch: 29 [4608/46200]	Loss: 0.3446	LR: 0.020000
Training Epoch: 29 [4864/46200]	Loss: 0.4051	LR: 0.020000
Training Epoch: 29 [5120/46200]	Loss: 0.2279	LR: 0.020000
Training Epoch: 29 [5376/46200]	Loss: 0.3327	LR: 0.020000
Training Epoch: 29 [5632/46200]	Loss: 0.2963	LR: 0.020000
Training Epoch: 29 [5888/46200]	Loss: 0.3508	LR: 0.020000
Training Epoch: 29 [6144/46200]	Loss: 0.2269	LR: 0.020000
Training Epoch: 29 [6400/46200]	Loss: 0.3265	LR: 0.020000
Training Epoch: 29 [6656/46200]	Loss: 0.2684	LR: 0.020000
Training Epoch: 29 [6912/46200]	Loss: 0.3219	LR: 0.020000
Training Epoch: 29 [7168/46200]	Loss: 0.3939	LR: 0.020000
Training Epoch: 29 [7424/46200]	Loss: 0.3327	LR: 0.020000
Training Epoch: 29 [7680/46200]	Loss: 0.3517	LR: 0.020000
Training Epoch: 29 [7936/46200]	Loss: 0.3399	LR: 0.020000
Training Epoch: 29 [8192/46200]	Loss: 0.3381	LR: 0.020000
Training Epoch: 29 [8448/46200]	Loss: 0.2890	LR: 0.020000
Training Epoch: 29 [8704/46200]	Loss: 0.3608	LR: 0.020000
Training Epoch: 29 [8960/46200]	Loss: 0.2834	LR: 0.020000
Training Epoch: 29 [9216/46200]	Loss: 0.3025	LR: 0.020000
Training Epoch: 29 [9472/46200]	Loss: 0.3371	LR: 0.020000
Training Epoch: 29 [9728/46200]	Loss: 0.3658	LR: 0.020000
Training Epoch: 29 [9984/46200]	Loss: 0.3136	LR: 0.020000
Training Epoch: 29 [10240/46200]	Loss: 0.3136	LR: 0.020000
Training Epoch: 29 [10496/46200]	Loss: 0.4235	LR: 0.020000
Training Epoch: 29 [10752/46200]	Loss: 0.3178	LR: 0.020000
Training Epoch: 29 [11008/46200]	Loss: 0.2659	LR: 0.020000
Training Epoch: 29 [11264/46200]	Loss: 0.2940	LR: 0.020000
Training Epoch: 29 [11520/46200]	Loss: 0.2258	LR: 0.020000
Training Epoch: 29 [11776/46200]	Loss: 0.2936	LR: 0.020000
Training Epoch: 29 [12032/46200]	Loss: 0.2528	LR: 0.020000
Training Epoch: 29 [12288/46200]	Loss: 0.2754	LR: 0.020000
Training Epoch: 29 [12544/46200]	Loss: 0.3187	LR: 0.020000
Training Epoch: 29 [12800/46200]	Loss: 0.4073	LR: 0.020000
Training Epoch: 29 [13056/46200]	Loss: 0.3533	LR: 0.020000
Training Epoch: 29 [13312/46200]	Loss: 0.2038	LR: 0.020000
Training Epoch: 29 [13568/46200]	Loss: 0.3197	LR: 0.020000
Training Epoch: 29 [13824/46200]	Loss: 0.3395	LR: 0.020000
Training Epoch: 29 [14080/46200]	Loss: 0.3488	LR: 0.020000
Training Epoch: 29 [14336/46200]	Loss: 0.3810	LR: 0.020000
Training Epoch: 29 [14592/46200]	Loss: 0.3399	LR: 0.020000
Training Epoch: 29 [14848/46200]	Loss: 0.3780	LR: 0.020000
Training Epoch: 29 [15104/46200]	Loss: 0.2921	LR: 0.020000
Training Epoch: 29 [15360/46200]	Loss: 0.3369	LR: 0.020000
Training Epoch: 29 [15616/46200]	Loss: 0.3794	LR: 0.020000
Training Epoch: 29 [15872/46200]	Loss: 0.3412	LR: 0.020000
Training Epoch: 29 [16128/46200]	Loss: 0.3170	LR: 0.020000
Training Epoch: 29 [16384/46200]	Loss: 0.3632	LR: 0.020000
Training Epoch: 29 [16640/46200]	Loss: 0.4143	LR: 0.020000
Training Epoch: 29 [16896/46200]	Loss: 0.3273	LR: 0.020000
Training Epoch: 29 [17152/46200]	Loss: 0.3066	LR: 0.020000
Training Epoch: 29 [17408/46200]	Loss: 0.3165	LR: 0.020000
Training Epoch: 29 [17664/46200]	Loss: 0.3090	LR: 0.020000
Training Epoch: 29 [17920/46200]	Loss: 0.2796	LR: 0.020000
Training Epoch: 29 [18176/46200]	Loss: 0.3708	LR: 0.020000
Training Epoch: 29 [18432/46200]	Loss: 0.3613	LR: 0.020000
Training Epoch: 29 [18688/46200]	Loss: 0.3400	LR: 0.020000
Training Epoch: 29 [18944/46200]	Loss: 0.3785	LR: 0.020000
Training Epoch: 29 [19200/46200]	Loss: 0.2487	LR: 0.020000
Training Epoch: 29 [19456/46200]	Loss: 0.3145	LR: 0.020000
Training Epoch: 29 [19712/46200]	Loss: 0.2928	LR: 0.020000
Training Epoch: 29 [19968/46200]	Loss: 0.3546	LR: 0.020000
Training Epoch: 29 [20224/46200]	Loss: 0.3314	LR: 0.020000
Training Epoch: 29 [20480/46200]	Loss: 0.3241	LR: 0.020000
Training Epoch: 29 [20736/46200]	Loss: 0.3165	LR: 0.020000
Training Epoch: 29 [20992/46200]	Loss: 0.3490	LR: 0.020000
Training Epoch: 29 [21248/46200]	Loss: 0.3046	LR: 0.020000
Training Epoch: 29 [21504/46200]	Loss: 0.3091	LR: 0.020000
Training Epoch: 29 [21760/46200]	Loss: 0.2766	LR: 0.020000
Training Epoch: 29 [22016/46200]	Loss: 0.3313	LR: 0.020000
Training Epoch: 29 [22272/46200]	Loss: 0.2612	LR: 0.020000
Training Epoch: 29 [22528/46200]	Loss: 0.2816	LR: 0.020000
Training Epoch: 29 [22784/46200]	Loss: 0.3157	LR: 0.020000
Training Epoch: 29 [23040/46200]	Loss: 0.3860	LR: 0.020000
Training Epoch: 29 [23296/46200]	Loss: 0.2826	LR: 0.020000
Training Epoch: 29 [23552/46200]	Loss: 0.3694	LR: 0.020000
Training Epoch: 29 [23808/46200]	Loss: 0.3315	LR: 0.020000
Training Epoch: 29 [24064/46200]	Loss: 0.3267	LR: 0.020000
Training Epoch: 29 [24320/46200]	Loss: 0.2219	LR: 0.020000
Training Epoch: 29 [24576/46200]	Loss: 0.3100	LR: 0.020000
Training Epoch: 29 [24832/46200]	Loss: 0.2967	LR: 0.020000
Training Epoch: 29 [25088/46200]	Loss: 0.3362	LR: 0.020000
Training Epoch: 29 [25344/46200]	Loss: 0.2521	LR: 0.020000
Training Epoch: 29 [25600/46200]	Loss: 0.3772	LR: 0.020000
Training Epoch: 29 [25856/46200]	Loss: 0.3147	LR: 0.020000
Training Epoch: 29 [26112/46200]	Loss: 0.2415	LR: 0.020000
Training Epoch: 29 [26368/46200]	Loss: 0.3905	LR: 0.020000
Training Epoch: 29 [26624/46200]	Loss: 0.3649	LR: 0.020000
Training Epoch: 29 [26880/46200]	Loss: 0.3591	LR: 0.020000
Training Epoch: 29 [27136/46200]	Loss: 0.4207	LR: 0.020000
Training Epoch: 29 [27392/46200]	Loss: 0.3232	LR: 0.020000
Training Epoch: 29 [27648/46200]	Loss: 0.3864	LR: 0.020000
Training Epoch: 29 [27904/46200]	Loss: 0.3017	LR: 0.020000
Training Epoch: 29 [28160/46200]	Loss: 0.2718	LR: 0.020000
Training Epoch: 29 [28416/46200]	Loss: 0.3097	LR: 0.020000
Training Epoch: 29 [28672/46200]	Loss: 0.3414	LR: 0.020000
Training Epoch: 29 [28928/46200]	Loss: 0.2926	LR: 0.020000
Training Epoch: 29 [29184/46200]	Loss: 0.3168	LR: 0.020000
Training Epoch: 29 [29440/46200]	Loss: 0.2710	LR: 0.020000
Training Epoch: 29 [29696/46200]	Loss: 0.4792	LR: 0.020000
Training Epoch: 29 [29952/46200]	Loss: 0.3999	LR: 0.020000
Training Epoch: 29 [30208/46200]	Loss: 0.3768	LR: 0.020000
Training Epoch: 29 [30464/46200]	Loss: 0.3123	LR: 0.020000
Training Epoch: 29 [30720/46200]	Loss: 0.3742	LR: 0.020000
Training Epoch: 29 [30976/46200]	Loss: 0.3783	LR: 0.020000
Training Epoch: 29 [31232/46200]	Loss: 0.3093	LR: 0.020000
Training Epoch: 29 [31488/46200]	Loss: 0.3145	LR: 0.020000
Training Epoch: 29 [31744/46200]	Loss: 0.3412	LR: 0.020000
Training Epoch: 29 [32000/46200]	Loss: 0.3101	LR: 0.020000
Training Epoch: 29 [32256/46200]	Loss: 0.3066	LR: 0.020000
Training Epoch: 29 [32512/46200]	Loss: 0.2884	LR: 0.020000
Training Epoch: 29 [32768/46200]	Loss: 0.3427	LR: 0.020000
Training Epoch: 29 [33024/46200]	Loss: 0.3277	LR: 0.020000
Training Epoch: 29 [33280/46200]	Loss: 0.3017	LR: 0.020000
Training Epoch: 29 [33536/46200]	Loss: 0.3141	LR: 0.020000
Training Epoch: 29 [33792/46200]	Loss: 0.3980	LR: 0.020000
Training Epoch: 29 [34048/46200]	Loss: 0.3199	LR: 0.020000
Training Epoch: 29 [34304/46200]	Loss: 0.2798	LR: 0.020000
Training Epoch: 29 [34560/46200]	Loss: 0.3909	LR: 0.020000
Training Epoch: 29 [34816/46200]	Loss: 0.3426	LR: 0.020000
Training Epoch: 29 [35072/46200]	Loss: 0.4010	LR: 0.020000
Training Epoch: 29 [35328/46200]	Loss: 0.4194	LR: 0.020000
Training Epoch: 29 [35584/46200]	Loss: 0.3304	LR: 0.020000
Training Epoch: 29 [35840/46200]	Loss: 0.3442	LR: 0.020000
Training Epoch: 29 [36096/46200]	Loss: 0.3728	LR: 0.020000
Training Epoch: 29 [36352/46200]	Loss: 0.3577	LR: 0.020000
Training Epoch: 29 [36608/46200]	Loss: 0.3273	LR: 0.020000
Training Epoch: 29 [36864/46200]	Loss: 0.4028	LR: 0.020000
Training Epoch: 29 [37120/46200]	Loss: 0.3519	LR: 0.020000
Training Epoch: 29 [37376/46200]	Loss: 0.3975	LR: 0.020000
Training Epoch: 29 [37632/46200]	Loss: 0.3342	LR: 0.020000
Training Epoch: 29 [37888/46200]	Loss: 0.4380	LR: 0.020000
Training Epoch: 29 [38144/46200]	Loss: 0.4311	LR: 0.020000
Training Epoch: 29 [38400/46200]	Loss: 0.3951	LR: 0.020000
Training Epoch: 29 [38656/46200]	Loss: 0.3411	LR: 0.020000
Training Epoch: 29 [38912/46200]	Loss: 0.3892	LR: 0.020000
Training Epoch: 29 [39168/46200]	Loss: 0.2995	LR: 0.020000
Training Epoch: 29 [39424/46200]	Loss: 0.3527	LR: 0.020000
Training Epoch: 29 [39680/46200]	Loss: 0.3430	LR: 0.020000
Training Epoch: 29 [39936/46200]	Loss: 0.4023	LR: 0.020000
Training Epoch: 29 [40192/46200]	Loss: 0.3049	LR: 0.020000
Training Epoch: 29 [40448/46200]	Loss: 0.3198	LR: 0.020000
Training Epoch: 29 [40704/46200]	Loss: 0.3679	LR: 0.020000
Training Epoch: 29 [40960/46200]	Loss: 0.3603	LR: 0.020000
Training Epoch: 29 [41216/46200]	Loss: 0.3152	LR: 0.020000
Training Epoch: 29 [41472/46200]	Loss: 0.2653	LR: 0.020000
Training Epoch: 29 [41728/46200]	Loss: 0.2998	LR: 0.020000
Training Epoch: 29 [41984/46200]	Loss: 0.3471	LR: 0.020000
Training Epoch: 29 [42240/46200]	Loss: 0.3076	LR: 0.020000
Training Epoch: 29 [42496/46200]	Loss: 0.3509	LR: 0.020000
Training Epoch: 29 [42752/46200]	Loss: 0.3703	LR: 0.020000
Training Epoch: 29 [43008/46200]	Loss: 0.3953	LR: 0.020000
Training Epoch: 29 [43264/46200]	Loss: 0.3515	LR: 0.020000
Training Epoch: 29 [43520/46200]	Loss: 0.3020	LR: 0.020000
Training Epoch: 29 [43776/46200]	Loss: 0.3061	LR: 0.020000
Training Epoch: 29 [44032/46200]	Loss: 0.3693	LR: 0.020000
Training Epoch: 29 [44288/46200]	Loss: 0.3087	LR: 0.020000
Training Epoch: 29 [44544/46200]	Loss: 0.3833	LR: 0.020000
Training Epoch: 29 [44800/46200]	Loss: 0.3329	LR: 0.020000
Training Epoch: 29 [45056/46200]	Loss: 0.3426	LR: 0.020000
Training Epoch: 29 [45312/46200]	Loss: 0.2479	LR: 0.020000
Training Epoch: 29 [45568/46200]	Loss: 0.3494	LR: 0.020000
Training Epoch: 29 [45824/46200]	Loss: 0.3471	LR: 0.020000
Training Epoch: 29 [46080/46200]	Loss: 0.3870	LR: 0.020000
Training Epoch: 29 [46200/46200]	Loss: 0.4262	LR: 0.020000
Epoch 29 - Average Train Loss: 0.3315, Train Accuracy: 0.8897
Epoch 29 training time consumed: 27.48s
Evaluating Network.....
Test set: Epoch: 29, Average loss: 0.0034, Accuracy: 0.7595, Time consumed:1.01s
Training Epoch: 30 [256/46200]	Loss: 0.2796	LR: 0.004000
Training Epoch: 30 [512/46200]	Loss: 0.3502	LR: 0.004000
Training Epoch: 30 [768/46200]	Loss: 0.2733	LR: 0.004000
Training Epoch: 30 [1024/46200]	Loss: 0.3108	LR: 0.004000
Training Epoch: 30 [1280/46200]	Loss: 0.2275	LR: 0.004000
Training Epoch: 30 [1536/46200]	Loss: 0.2773	LR: 0.004000
Training Epoch: 30 [1792/46200]	Loss: 0.2702	LR: 0.004000
Training Epoch: 30 [2048/46200]	Loss: 0.2299	LR: 0.004000
Training Epoch: 30 [2304/46200]	Loss: 0.3071	LR: 0.004000
Training Epoch: 30 [2560/46200]	Loss: 0.2990	LR: 0.004000
Training Epoch: 30 [2816/46200]	Loss: 0.3080	LR: 0.004000
Training Epoch: 30 [3072/46200]	Loss: 0.2518	LR: 0.004000
Training Epoch: 30 [3328/46200]	Loss: 0.3007	LR: 0.004000
Training Epoch: 30 [3584/46200]	Loss: 0.2152	LR: 0.004000
Training Epoch: 30 [3840/46200]	Loss: 0.2639	LR: 0.004000
Training Epoch: 30 [4096/46200]	Loss: 0.2233	LR: 0.004000
Training Epoch: 30 [4352/46200]	Loss: 0.2749	LR: 0.004000
Training Epoch: 30 [4608/46200]	Loss: 0.2281	LR: 0.004000
Training Epoch: 30 [4864/46200]	Loss: 0.3280	LR: 0.004000
Training Epoch: 30 [5120/46200]	Loss: 0.2320	LR: 0.004000
Training Epoch: 30 [5376/46200]	Loss: 0.1646	LR: 0.004000
Training Epoch: 30 [5632/46200]	Loss: 0.2363	LR: 0.004000
Training Epoch: 30 [5888/46200]	Loss: 0.1436	LR: 0.004000
Training Epoch: 30 [6144/46200]	Loss: 0.2454	LR: 0.004000
Training Epoch: 30 [6400/46200]	Loss: 0.2112	LR: 0.004000
Training Epoch: 30 [6656/46200]	Loss: 0.1991	LR: 0.004000
Training Epoch: 30 [6912/46200]	Loss: 0.2250	LR: 0.004000
Training Epoch: 30 [7168/46200]	Loss: 0.2425	LR: 0.004000
Training Epoch: 30 [7424/46200]	Loss: 0.2267	LR: 0.004000
Training Epoch: 30 [7680/46200]	Loss: 0.2467	LR: 0.004000
Training Epoch: 30 [7936/46200]	Loss: 0.2468	LR: 0.004000
Training Epoch: 30 [8192/46200]	Loss: 0.2001	LR: 0.004000
Training Epoch: 30 [8448/46200]	Loss: 0.2213	LR: 0.004000
Training Epoch: 30 [8704/46200]	Loss: 0.2303	LR: 0.004000
Training Epoch: 30 [8960/46200]	Loss: 0.2061	LR: 0.004000
Training Epoch: 30 [9216/46200]	Loss: 0.1751	LR: 0.004000
Training Epoch: 30 [9472/46200]	Loss: 0.2391	LR: 0.004000
Training Epoch: 30 [9728/46200]	Loss: 0.2584	LR: 0.004000
Training Epoch: 30 [9984/46200]	Loss: 0.2751	LR: 0.004000
Training Epoch: 30 [10240/46200]	Loss: 0.2878	LR: 0.004000
Training Epoch: 30 [10496/46200]	Loss: 0.1886	LR: 0.004000
Training Epoch: 30 [10752/46200]	Loss: 0.2142	LR: 0.004000
Training Epoch: 30 [11008/46200]	Loss: 0.2729	LR: 0.004000
Training Epoch: 30 [11264/46200]	Loss: 0.2121	LR: 0.004000
Training Epoch: 30 [11520/46200]	Loss: 0.2099	LR: 0.004000
Training Epoch: 30 [11776/46200]	Loss: 0.1703	LR: 0.004000
Training Epoch: 30 [12032/46200]	Loss: 0.2065	LR: 0.004000
Training Epoch: 30 [12288/46200]	Loss: 0.2404	LR: 0.004000
Training Epoch: 30 [12544/46200]	Loss: 0.2195	LR: 0.004000
Training Epoch: 30 [12800/46200]	Loss: 0.1688	LR: 0.004000
Training Epoch: 30 [13056/46200]	Loss: 0.2358	LR: 0.004000
Training Epoch: 30 [13312/46200]	Loss: 0.2450	LR: 0.004000
Training Epoch: 30 [13568/46200]	Loss: 0.3063	LR: 0.004000
Training Epoch: 30 [13824/46200]	Loss: 0.1448	LR: 0.004000
Training Epoch: 30 [14080/46200]	Loss: 0.2848	LR: 0.004000
Training Epoch: 30 [14336/46200]	Loss: 0.2359	LR: 0.004000
Training Epoch: 30 [14592/46200]	Loss: 0.1975	LR: 0.004000
Training Epoch: 30 [14848/46200]	Loss: 0.2268	LR: 0.004000
Training Epoch: 30 [15104/46200]	Loss: 0.2376	LR: 0.004000
Training Epoch: 30 [15360/46200]	Loss: 0.2533	LR: 0.004000
Training Epoch: 30 [15616/46200]	Loss: 0.1951	LR: 0.004000
Training Epoch: 30 [15872/46200]	Loss: 0.2427	LR: 0.004000
Training Epoch: 30 [16128/46200]	Loss: 0.2253	LR: 0.004000
Training Epoch: 30 [16384/46200]	Loss: 0.2228	LR: 0.004000
Training Epoch: 30 [16640/46200]	Loss: 0.1835	LR: 0.004000
Training Epoch: 30 [16896/46200]	Loss: 0.1597	LR: 0.004000
Training Epoch: 30 [17152/46200]	Loss: 0.2815	LR: 0.004000
Training Epoch: 30 [17408/46200]	Loss: 0.2084	LR: 0.004000
Training Epoch: 30 [17664/46200]	Loss: 0.1915	LR: 0.004000
Training Epoch: 30 [17920/46200]	Loss: 0.2221	LR: 0.004000
Training Epoch: 30 [18176/46200]	Loss: 0.2195	LR: 0.004000
Training Epoch: 30 [18432/46200]	Loss: 0.2151	LR: 0.004000
Training Epoch: 30 [18688/46200]	Loss: 0.2134	LR: 0.004000
Training Epoch: 30 [18944/46200]	Loss: 0.2573	LR: 0.004000
Training Epoch: 30 [19200/46200]	Loss: 0.1891	LR: 0.004000
Training Epoch: 30 [19456/46200]	Loss: 0.2390	LR: 0.004000
Training Epoch: 30 [19712/46200]	Loss: 0.1764	LR: 0.004000
Training Epoch: 30 [19968/46200]	Loss: 0.2304	LR: 0.004000
Training Epoch: 30 [20224/46200]	Loss: 0.2037	LR: 0.004000
Training Epoch: 30 [20480/46200]	Loss: 0.2664	LR: 0.004000
Training Epoch: 30 [20736/46200]	Loss: 0.2424	LR: 0.004000
Training Epoch: 30 [20992/46200]	Loss: 0.2405	LR: 0.004000
Training Epoch: 30 [21248/46200]	Loss: 0.2297	LR: 0.004000
Training Epoch: 30 [21504/46200]	Loss: 0.2259	LR: 0.004000
Training Epoch: 30 [21760/46200]	Loss: 0.2221	LR: 0.004000
Training Epoch: 30 [22016/46200]	Loss: 0.1814	LR: 0.004000
Training Epoch: 30 [22272/46200]	Loss: 0.2433	LR: 0.004000
Training Epoch: 30 [22528/46200]	Loss: 0.2613	LR: 0.004000
Training Epoch: 30 [22784/46200]	Loss: 0.2064	LR: 0.004000
Training Epoch: 30 [23040/46200]	Loss: 0.1591	LR: 0.004000
Training Epoch: 30 [23296/46200]	Loss: 0.1986	LR: 0.004000
Training Epoch: 30 [23552/46200]	Loss: 0.2915	LR: 0.004000
Training Epoch: 30 [23808/46200]	Loss: 0.1769	LR: 0.004000
Training Epoch: 30 [24064/46200]	Loss: 0.1799	LR: 0.004000
Training Epoch: 30 [24320/46200]	Loss: 0.2552	LR: 0.004000
Training Epoch: 30 [24576/46200]	Loss: 0.2006	LR: 0.004000
Training Epoch: 30 [24832/46200]	Loss: 0.2019	LR: 0.004000
Training Epoch: 30 [25088/46200]	Loss: 0.2392	LR: 0.004000
Training Epoch: 30 [25344/46200]	Loss: 0.2219	LR: 0.004000
Training Epoch: 30 [25600/46200]	Loss: 0.2344	LR: 0.004000
Training Epoch: 30 [25856/46200]	Loss: 0.1870	LR: 0.004000
Training Epoch: 30 [26112/46200]	Loss: 0.2177	LR: 0.004000
Training Epoch: 30 [26368/46200]	Loss: 0.1624	LR: 0.004000
Training Epoch: 30 [26624/46200]	Loss: 0.2095	LR: 0.004000
Training Epoch: 30 [26880/46200]	Loss: 0.1715	LR: 0.004000
Training Epoch: 30 [27136/46200]	Loss: 0.2274	LR: 0.004000
Training Epoch: 30 [27392/46200]	Loss: 0.2392	LR: 0.004000
Training Epoch: 30 [27648/46200]	Loss: 0.1980	LR: 0.004000
Training Epoch: 30 [27904/46200]	Loss: 0.1740	LR: 0.004000
Training Epoch: 30 [28160/46200]	Loss: 0.1997	LR: 0.004000
Training Epoch: 30 [28416/46200]	Loss: 0.1913	LR: 0.004000
Training Epoch: 30 [28672/46200]	Loss: 0.2113	LR: 0.004000
Training Epoch: 30 [28928/46200]	Loss: 0.1470	LR: 0.004000
Training Epoch: 30 [29184/46200]	Loss: 0.2203	LR: 0.004000
Training Epoch: 30 [29440/46200]	Loss: 0.1932	LR: 0.004000
Training Epoch: 30 [29696/46200]	Loss: 0.1894	LR: 0.004000
Training Epoch: 30 [29952/46200]	Loss: 0.1822	LR: 0.004000
Training Epoch: 30 [30208/46200]	Loss: 0.2076	LR: 0.004000
Training Epoch: 30 [30464/46200]	Loss: 0.2320	LR: 0.004000
Training Epoch: 30 [30720/46200]	Loss: 0.2051	LR: 0.004000
Training Epoch: 30 [30976/46200]	Loss: 0.1912	LR: 0.004000
Training Epoch: 30 [31232/46200]	Loss: 0.2017	LR: 0.004000
Training Epoch: 30 [31488/46200]	Loss: 0.1780	LR: 0.004000
Training Epoch: 30 [31744/46200]	Loss: 0.2262	LR: 0.004000
Training Epoch: 30 [32000/46200]	Loss: 0.1856	LR: 0.004000
Training Epoch: 30 [32256/46200]	Loss: 0.1697	LR: 0.004000
Training Epoch: 30 [32512/46200]	Loss: 0.2086	LR: 0.004000
Training Epoch: 30 [32768/46200]	Loss: 0.1923	LR: 0.004000
Training Epoch: 30 [33024/46200]	Loss: 0.2000	LR: 0.004000
Training Epoch: 30 [33280/46200]	Loss: 0.2254	LR: 0.004000
Training Epoch: 30 [33536/46200]	Loss: 0.2468	LR: 0.004000
Training Epoch: 30 [33792/46200]	Loss: 0.2027	LR: 0.004000
Training Epoch: 30 [34048/46200]	Loss: 0.2349	LR: 0.004000
Training Epoch: 30 [34304/46200]	Loss: 0.2208	LR: 0.004000
Training Epoch: 30 [34560/46200]	Loss: 0.2392	LR: 0.004000
Training Epoch: 30 [34816/46200]	Loss: 0.1872	LR: 0.004000
Training Epoch: 30 [35072/46200]	Loss: 0.1943	LR: 0.004000
Training Epoch: 30 [35328/46200]	Loss: 0.2397	LR: 0.004000
Training Epoch: 30 [35584/46200]	Loss: 0.1716	LR: 0.004000
Training Epoch: 30 [35840/46200]	Loss: 0.1967	LR: 0.004000
Training Epoch: 30 [36096/46200]	Loss: 0.2275	LR: 0.004000
Training Epoch: 30 [36352/46200]	Loss: 0.2697	LR: 0.004000
Training Epoch: 30 [36608/46200]	Loss: 0.2194	LR: 0.004000
Training Epoch: 30 [36864/46200]	Loss: 0.1885	LR: 0.004000
Training Epoch: 30 [37120/46200]	Loss: 0.1628	LR: 0.004000
Training Epoch: 30 [37376/46200]	Loss: 0.1415	LR: 0.004000
Training Epoch: 30 [37632/46200]	Loss: 0.2087	LR: 0.004000
Training Epoch: 30 [37888/46200]	Loss: 0.2662	LR: 0.004000
Training Epoch: 30 [38144/46200]	Loss: 0.2219	LR: 0.004000
Training Epoch: 30 [38400/46200]	Loss: 0.2479	LR: 0.004000
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Training Epoch: 30 [43520/46200]	Loss: 0.1946	LR: 0.004000
Training Epoch: 30 [43776/46200]	Loss: 0.2093	LR: 0.004000
Training Epoch: 30 [44032/46200]	Loss: 0.2103	LR: 0.004000
Training Epoch: 30 [44288/46200]	Loss: 0.1633	LR: 0.004000
Training Epoch: 30 [44544/46200]	Loss: 0.2031	LR: 0.004000
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Training Epoch: 30 [45056/46200]	Loss: 0.1892	LR: 0.004000
Training Epoch: 30 [45312/46200]	Loss: 0.1899	LR: 0.004000
Training Epoch: 30 [45568/46200]	Loss: 0.1851	LR: 0.004000
Training Epoch: 30 [45824/46200]	Loss: 0.2222	LR: 0.004000
Training Epoch: 30 [46080/46200]	Loss: 0.1769	LR: 0.004000
Training Epoch: 30 [46200/46200]	Loss: 0.2750	LR: 0.004000
Epoch 30 - Average Train Loss: 0.2176, Train Accuracy: 0.9317
Epoch 30 training time consumed: 27.52s
Evaluating Network.....
Test set: Epoch: 30, Average loss: 0.0028, Accuracy: 0.8025, Time consumed:0.86s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_02h_20m_53s/ResNet18-Cifar20-seed5-ret25-30-best.pth
Training Epoch: 31 [256/46200]	Loss: 0.1822	LR: 0.004000
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Training Epoch: 31 [44032/46200]	Loss: 0.1822	LR: 0.004000
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Training Epoch: 31 [44544/46200]	Loss: 0.1336	LR: 0.004000
Training Epoch: 31 [44800/46200]	Loss: 0.1951	LR: 0.004000
Training Epoch: 31 [45056/46200]	Loss: 0.2021	LR: 0.004000
Training Epoch: 31 [45312/46200]	Loss: 0.1878	LR: 0.004000
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Training Epoch: 31 [45824/46200]	Loss: 0.1627	LR: 0.004000
Training Epoch: 31 [46080/46200]	Loss: 0.1169	LR: 0.004000
Training Epoch: 31 [46200/46200]	Loss: 0.1496	LR: 0.004000
Epoch 31 - Average Train Loss: 0.1729, Train Accuracy: 0.9476
Epoch 31 training time consumed: 27.46s
Evaluating Network.....
Test set: Epoch: 31, Average loss: 0.0028, Accuracy: 0.8004, Time consumed:0.94s
Training Epoch: 32 [256/46200]	Loss: 0.1363	LR: 0.004000
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Training Epoch: 32 [18176/46200]	Loss: 0.1655	LR: 0.004000
Training Epoch: 32 [18432/46200]	Loss: 0.1880	LR: 0.004000
Training Epoch: 32 [18688/46200]	Loss: 0.1938	LR: 0.004000
Training Epoch: 32 [18944/46200]	Loss: 0.1200	LR: 0.004000
Training Epoch: 32 [19200/46200]	Loss: 0.2096	LR: 0.004000
Training Epoch: 32 [19456/46200]	Loss: 0.1265	LR: 0.004000
Training Epoch: 32 [19712/46200]	Loss: 0.1978	LR: 0.004000
Training Epoch: 32 [19968/46200]	Loss: 0.1636	LR: 0.004000
Training Epoch: 32 [20224/46200]	Loss: 0.2055	LR: 0.004000
Training Epoch: 32 [20480/46200]	Loss: 0.1497	LR: 0.004000
Training Epoch: 32 [20736/46200]	Loss: 0.1005	LR: 0.004000
Training Epoch: 32 [20992/46200]	Loss: 0.1633	LR: 0.004000
Training Epoch: 32 [21248/46200]	Loss: 0.1933	LR: 0.004000
Training Epoch: 32 [21504/46200]	Loss: 0.1502	LR: 0.004000
Training Epoch: 32 [21760/46200]	Loss: 0.1468	LR: 0.004000
Training Epoch: 32 [22016/46200]	Loss: 0.1540	LR: 0.004000
Training Epoch: 32 [22272/46200]	Loss: 0.1497	LR: 0.004000
Training Epoch: 32 [22528/46200]	Loss: 0.1615	LR: 0.004000
Training Epoch: 32 [22784/46200]	Loss: 0.1527	LR: 0.004000
Training Epoch: 32 [23040/46200]	Loss: 0.1278	LR: 0.004000
Training Epoch: 32 [23296/46200]	Loss: 0.1506	LR: 0.004000
Training Epoch: 32 [23552/46200]	Loss: 0.1395	LR: 0.004000
Training Epoch: 32 [23808/46200]	Loss: 0.1454	LR: 0.004000
Training Epoch: 32 [24064/46200]	Loss: 0.1489	LR: 0.004000
Training Epoch: 32 [24320/46200]	Loss: 0.1318	LR: 0.004000
Training Epoch: 32 [24576/46200]	Loss: 0.1631	LR: 0.004000
Training Epoch: 32 [24832/46200]	Loss: 0.1170	LR: 0.004000
Training Epoch: 32 [25088/46200]	Loss: 0.2279	LR: 0.004000
Training Epoch: 32 [25344/46200]	Loss: 0.1294	LR: 0.004000
Training Epoch: 32 [25600/46200]	Loss: 0.1313	LR: 0.004000
Training Epoch: 32 [25856/46200]	Loss: 0.1408	LR: 0.004000
Training Epoch: 32 [26112/46200]	Loss: 0.1646	LR: 0.004000
Training Epoch: 32 [26368/46200]	Loss: 0.1826	LR: 0.004000
Training Epoch: 32 [26624/46200]	Loss: 0.1606	LR: 0.004000
Training Epoch: 32 [26880/46200]	Loss: 0.1377	LR: 0.004000
Training Epoch: 32 [27136/46200]	Loss: 0.1392	LR: 0.004000
Training Epoch: 32 [27392/46200]	Loss: 0.1720	LR: 0.004000
Training Epoch: 32 [27648/46200]	Loss: 0.1454	LR: 0.004000
Training Epoch: 32 [27904/46200]	Loss: 0.1171	LR: 0.004000
Training Epoch: 32 [28160/46200]	Loss: 0.1221	LR: 0.004000
Training Epoch: 32 [28416/46200]	Loss: 0.1630	LR: 0.004000
Training Epoch: 32 [28672/46200]	Loss: 0.1640	LR: 0.004000
Training Epoch: 32 [28928/46200]	Loss: 0.1707	LR: 0.004000
Training Epoch: 32 [29184/46200]	Loss: 0.1440	LR: 0.004000
Training Epoch: 32 [29440/46200]	Loss: 0.1234	LR: 0.004000
Training Epoch: 32 [29696/46200]	Loss: 0.1563	LR: 0.004000
Training Epoch: 32 [29952/46200]	Loss: 0.1549	LR: 0.004000
Training Epoch: 32 [30208/46200]	Loss: 0.1412	LR: 0.004000
Training Epoch: 32 [30464/46200]	Loss: 0.1271	LR: 0.004000
Training Epoch: 32 [30720/46200]	Loss: 0.1735	LR: 0.004000
Training Epoch: 32 [30976/46200]	Loss: 0.2259	LR: 0.004000
Training Epoch: 32 [31232/46200]	Loss: 0.1611	LR: 0.004000
Training Epoch: 32 [31488/46200]	Loss: 0.1575	LR: 0.004000
Training Epoch: 32 [31744/46200]	Loss: 0.1382	LR: 0.004000
Training Epoch: 32 [32000/46200]	Loss: 0.1281	LR: 0.004000
Training Epoch: 32 [32256/46200]	Loss: 0.1476	LR: 0.004000
Training Epoch: 32 [32512/46200]	Loss: 0.1550	LR: 0.004000
Training Epoch: 32 [32768/46200]	Loss: 0.1599	LR: 0.004000
Training Epoch: 32 [33024/46200]	Loss: 0.1756	LR: 0.004000
Training Epoch: 32 [33280/46200]	Loss: 0.1670	LR: 0.004000
Training Epoch: 32 [33536/46200]	Loss: 0.1358	LR: 0.004000
Training Epoch: 32 [33792/46200]	Loss: 0.1155	LR: 0.004000
Training Epoch: 32 [34048/46200]	Loss: 0.1408	LR: 0.004000
Training Epoch: 32 [34304/46200]	Loss: 0.1582	LR: 0.004000
Training Epoch: 32 [34560/46200]	Loss: 0.1822	LR: 0.004000
Training Epoch: 32 [34816/46200]	Loss: 0.1595	LR: 0.004000
Training Epoch: 32 [35072/46200]	Loss: 0.2016	LR: 0.004000
Training Epoch: 32 [35328/46200]	Loss: 0.1521	LR: 0.004000
Training Epoch: 32 [35584/46200]	Loss: 0.1178	LR: 0.004000
Training Epoch: 32 [35840/46200]	Loss: 0.1568	LR: 0.004000
Training Epoch: 32 [36096/46200]	Loss: 0.1596	LR: 0.004000
Training Epoch: 32 [36352/46200]	Loss: 0.1796	LR: 0.004000
Training Epoch: 32 [36608/46200]	Loss: 0.1534	LR: 0.004000
Training Epoch: 32 [36864/46200]	Loss: 0.1592	LR: 0.004000
Training Epoch: 32 [37120/46200]	Loss: 0.1303	LR: 0.004000
Training Epoch: 32 [37376/46200]	Loss: 0.1464	LR: 0.004000
Training Epoch: 32 [37632/46200]	Loss: 0.1330	LR: 0.004000
Training Epoch: 32 [37888/46200]	Loss: 0.1845	LR: 0.004000
Training Epoch: 32 [38144/46200]	Loss: 0.1737	LR: 0.004000
Training Epoch: 32 [38400/46200]	Loss: 0.1665	LR: 0.004000
Training Epoch: 32 [38656/46200]	Loss: 0.1904	LR: 0.004000
Training Epoch: 32 [38912/46200]	Loss: 0.2008	LR: 0.004000
Training Epoch: 32 [39168/46200]	Loss: 0.1444	LR: 0.004000
Training Epoch: 32 [39424/46200]	Loss: 0.1940	LR: 0.004000
Training Epoch: 32 [39680/46200]	Loss: 0.1580	LR: 0.004000
Training Epoch: 32 [39936/46200]	Loss: 0.1308	LR: 0.004000
Training Epoch: 32 [40192/46200]	Loss: 0.1821	LR: 0.004000
Training Epoch: 32 [40448/46200]	Loss: 0.1586	LR: 0.004000
Training Epoch: 32 [40704/46200]	Loss: 0.1629	LR: 0.004000
Training Epoch: 32 [40960/46200]	Loss: 0.1323	LR: 0.004000
Training Epoch: 32 [41216/46200]	Loss: 0.1448	LR: 0.004000
Training Epoch: 32 [41472/46200]	Loss: 0.0964	LR: 0.004000
Training Epoch: 32 [41728/46200]	Loss: 0.1448	LR: 0.004000
Training Epoch: 32 [41984/46200]	Loss: 0.1546	LR: 0.004000
Training Epoch: 32 [42240/46200]	Loss: 0.1860	LR: 0.004000
Training Epoch: 32 [42496/46200]	Loss: 0.1591	LR: 0.004000
Training Epoch: 32 [42752/46200]	Loss: 0.1929	LR: 0.004000
Training Epoch: 32 [43008/46200]	Loss: 0.1366	LR: 0.004000
Training Epoch: 32 [43264/46200]	Loss: 0.1531	LR: 0.004000
Training Epoch: 32 [43520/46200]	Loss: 0.1967	LR: 0.004000
Training Epoch: 32 [43776/46200]	Loss: 0.1783	LR: 0.004000
Training Epoch: 32 [44032/46200]	Loss: 0.1433	LR: 0.004000
Training Epoch: 32 [44288/46200]	Loss: 0.1505	LR: 0.004000
Training Epoch: 32 [44544/46200]	Loss: 0.1174	LR: 0.004000
Training Epoch: 32 [44800/46200]	Loss: 0.1740	LR: 0.004000
Training Epoch: 32 [45056/46200]	Loss: 0.1846	LR: 0.004000
Training Epoch: 32 [45312/46200]	Loss: 0.1265	LR: 0.004000
Training Epoch: 32 [45568/46200]	Loss: 0.1648	LR: 0.004000
Training Epoch: 32 [45824/46200]	Loss: 0.1325	LR: 0.004000
Training Epoch: 32 [46080/46200]	Loss: 0.1852	LR: 0.004000
Training Epoch: 32 [46200/46200]	Loss: 0.1067	LR: 0.004000
Epoch 32 - Average Train Loss: 0.1577, Train Accuracy: 0.9517
Epoch 32 training time consumed: 27.46s
Evaluating Network.....
Test set: Epoch: 32, Average loss: 0.0028, Accuracy: 0.8023, Time consumed:0.92s
Training Epoch: 33 [256/46200]	Loss: 0.1182	LR: 0.004000
Training Epoch: 33 [512/46200]	Loss: 0.1669	LR: 0.004000
Training Epoch: 33 [768/46200]	Loss: 0.1571	LR: 0.004000
Training Epoch: 33 [1024/46200]	Loss: 0.1135	LR: 0.004000
Training Epoch: 33 [1280/46200]	Loss: 0.1255	LR: 0.004000
Training Epoch: 33 [1536/46200]	Loss: 0.1125	LR: 0.004000
Training Epoch: 33 [1792/46200]	Loss: 0.1845	LR: 0.004000
Training Epoch: 33 [2048/46200]	Loss: 0.1574	LR: 0.004000
Training Epoch: 33 [2304/46200]	Loss: 0.1519	LR: 0.004000
Training Epoch: 33 [2560/46200]	Loss: 0.1444	LR: 0.004000
Training Epoch: 33 [2816/46200]	Loss: 0.1799	LR: 0.004000
Training Epoch: 33 [3072/46200]	Loss: 0.1433	LR: 0.004000
Training Epoch: 33 [3328/46200]	Loss: 0.1661	LR: 0.004000
Training Epoch: 33 [3584/46200]	Loss: 0.1592	LR: 0.004000
Training Epoch: 33 [3840/46200]	Loss: 0.1149	LR: 0.004000
Training Epoch: 33 [4096/46200]	Loss: 0.1361	LR: 0.004000
Training Epoch: 33 [4352/46200]	Loss: 0.1756	LR: 0.004000
Training Epoch: 33 [4608/46200]	Loss: 0.2340	LR: 0.004000
Training Epoch: 33 [4864/46200]	Loss: 0.1364	LR: 0.004000
Training Epoch: 33 [5120/46200]	Loss: 0.1759	LR: 0.004000
Training Epoch: 33 [5376/46200]	Loss: 0.1202	LR: 0.004000
Training Epoch: 33 [5632/46200]	Loss: 0.1444	LR: 0.004000
Training Epoch: 33 [5888/46200]	Loss: 0.1419	LR: 0.004000
Training Epoch: 33 [6144/46200]	Loss: 0.1313	LR: 0.004000
Training Epoch: 33 [6400/46200]	Loss: 0.1257	LR: 0.004000
Training Epoch: 33 [6656/46200]	Loss: 0.1290	LR: 0.004000
Training Epoch: 33 [6912/46200]	Loss: 0.1467	LR: 0.004000
Training Epoch: 33 [7168/46200]	Loss: 0.1529	LR: 0.004000
Training Epoch: 33 [7424/46200]	Loss: 0.1628	LR: 0.004000
Training Epoch: 33 [7680/46200]	Loss: 0.1599	LR: 0.004000
Training Epoch: 33 [7936/46200]	Loss: 0.1309	LR: 0.004000
Training Epoch: 33 [8192/46200]	Loss: 0.1725	LR: 0.004000
Training Epoch: 33 [8448/46200]	Loss: 0.1255	LR: 0.004000
Training Epoch: 33 [8704/46200]	Loss: 0.1881	LR: 0.004000
Training Epoch: 33 [8960/46200]	Loss: 0.1563	LR: 0.004000
Training Epoch: 33 [9216/46200]	Loss: 0.1137	LR: 0.004000
Training Epoch: 33 [9472/46200]	Loss: 0.1382	LR: 0.004000
Training Epoch: 33 [9728/46200]	Loss: 0.1231	LR: 0.004000
Training Epoch: 33 [9984/46200]	Loss: 0.1157	LR: 0.004000
Training Epoch: 33 [10240/46200]	Loss: 0.1684	LR: 0.004000
Training Epoch: 33 [10496/46200]	Loss: 0.1633	LR: 0.004000
Training Epoch: 33 [10752/46200]	Loss: 0.1596	LR: 0.004000
Training Epoch: 33 [11008/46200]	Loss: 0.1047	LR: 0.004000
Training Epoch: 33 [11264/46200]	Loss: 0.1732	LR: 0.004000
Training Epoch: 33 [11520/46200]	Loss: 0.2032	LR: 0.004000
Training Epoch: 33 [11776/46200]	Loss: 0.1667	LR: 0.004000
Training Epoch: 33 [12032/46200]	Loss: 0.1564	LR: 0.004000
Training Epoch: 33 [12288/46200]	Loss: 0.1514	LR: 0.004000
Training Epoch: 33 [12544/46200]	Loss: 0.1194	LR: 0.004000
Training Epoch: 33 [12800/46200]	Loss: 0.1218	LR: 0.004000
Training Epoch: 33 [13056/46200]	Loss: 0.1274	LR: 0.004000
Training Epoch: 33 [13312/46200]	Loss: 0.1204	LR: 0.004000
Training Epoch: 33 [13568/46200]	Loss: 0.1780	LR: 0.004000
Training Epoch: 33 [13824/46200]	Loss: 0.1502	LR: 0.004000
Training Epoch: 33 [14080/46200]	Loss: 0.2021	LR: 0.004000
Training Epoch: 33 [14336/46200]	Loss: 0.1644	LR: 0.004000
Training Epoch: 33 [14592/46200]	Loss: 0.1530	LR: 0.004000
Training Epoch: 33 [14848/46200]	Loss: 0.1700	LR: 0.004000
Training Epoch: 33 [15104/46200]	Loss: 0.1439	LR: 0.004000
Training Epoch: 33 [15360/46200]	Loss: 0.1201	LR: 0.004000
Training Epoch: 33 [15616/46200]	Loss: 0.1175	LR: 0.004000
Training Epoch: 33 [15872/46200]	Loss: 0.1743	LR: 0.004000
Training Epoch: 33 [16128/46200]	Loss: 0.1176	LR: 0.004000
Training Epoch: 33 [16384/46200]	Loss: 0.1798	LR: 0.004000
Training Epoch: 33 [16640/46200]	Loss: 0.1210	LR: 0.004000
Training Epoch: 33 [16896/46200]	Loss: 0.1566	LR: 0.004000
Training Epoch: 33 [17152/46200]	Loss: 0.1569	LR: 0.004000
Training Epoch: 33 [17408/46200]	Loss: 0.1974	LR: 0.004000
Training Epoch: 33 [17664/46200]	Loss: 0.1255	LR: 0.004000
Training Epoch: 33 [17920/46200]	Loss: 0.1514	LR: 0.004000
Training Epoch: 33 [18176/46200]	Loss: 0.1110	LR: 0.004000
Training Epoch: 33 [18432/46200]	Loss: 0.1505	LR: 0.004000
Training Epoch: 33 [18688/46200]	Loss: 0.1264	LR: 0.004000
Training Epoch: 33 [18944/46200]	Loss: 0.1462	LR: 0.004000
Training Epoch: 33 [19200/46200]	Loss: 0.1648	LR: 0.004000
Training Epoch: 33 [19456/46200]	Loss: 0.0962	LR: 0.004000
Training Epoch: 33 [19712/46200]	Loss: 0.1373	LR: 0.004000
Training Epoch: 33 [19968/46200]	Loss: 0.1591	LR: 0.004000
Training Epoch: 33 [20224/46200]	Loss: 0.0968	LR: 0.004000
Training Epoch: 33 [20480/46200]	Loss: 0.1170	LR: 0.004000
Training Epoch: 33 [20736/46200]	Loss: 0.0885	LR: 0.004000
Training Epoch: 33 [20992/46200]	Loss: 0.1996	LR: 0.004000
Training Epoch: 33 [21248/46200]	Loss: 0.1436	LR: 0.004000
Training Epoch: 33 [21504/46200]	Loss: 0.1148	LR: 0.004000
Training Epoch: 33 [21760/46200]	Loss: 0.1617	LR: 0.004000
Training Epoch: 33 [22016/46200]	Loss: 0.0971	LR: 0.004000
Training Epoch: 33 [22272/46200]	Loss: 0.1049	LR: 0.004000
Training Epoch: 33 [22528/46200]	Loss: 0.1383	LR: 0.004000
Training Epoch: 33 [22784/46200]	Loss: 0.1771	LR: 0.004000
Training Epoch: 33 [23040/46200]	Loss: 0.1072	LR: 0.004000
Training Epoch: 33 [23296/46200]	Loss: 0.1418	LR: 0.004000
Training Epoch: 33 [23552/46200]	Loss: 0.1394	LR: 0.004000
Training Epoch: 33 [23808/46200]	Loss: 0.1580	LR: 0.004000
Training Epoch: 33 [24064/46200]	Loss: 0.1822	LR: 0.004000
Training Epoch: 33 [24320/46200]	Loss: 0.1031	LR: 0.004000
Training Epoch: 33 [24576/46200]	Loss: 0.1113	LR: 0.004000
Training Epoch: 33 [24832/46200]	Loss: 0.1216	LR: 0.004000
Training Epoch: 33 [25088/46200]	Loss: 0.1459	LR: 0.004000
Training Epoch: 33 [25344/46200]	Loss: 0.1687	LR: 0.004000
Training Epoch: 33 [25600/46200]	Loss: 0.1176	LR: 0.004000
Training Epoch: 33 [25856/46200]	Loss: 0.1383	LR: 0.004000
Training Epoch: 33 [26112/46200]	Loss: 0.1290	LR: 0.004000
Training Epoch: 33 [26368/46200]	Loss: 0.1278	LR: 0.004000
Training Epoch: 33 [26624/46200]	Loss: 0.1544	LR: 0.004000
Training Epoch: 33 [26880/46200]	Loss: 0.1517	LR: 0.004000
Training Epoch: 33 [27136/46200]	Loss: 0.1347	LR: 0.004000
Training Epoch: 33 [27392/46200]	Loss: 0.1243	LR: 0.004000
Training Epoch: 33 [27648/46200]	Loss: 0.1644	LR: 0.004000
Training Epoch: 33 [27904/46200]	Loss: 0.1157	LR: 0.004000
Training Epoch: 33 [28160/46200]	Loss: 0.1334	LR: 0.004000
Training Epoch: 33 [28416/46200]	Loss: 0.1254	LR: 0.004000
Training Epoch: 33 [28672/46200]	Loss: 0.1609	LR: 0.004000
Training Epoch: 33 [28928/46200]	Loss: 0.1746	LR: 0.004000
Training Epoch: 33 [29184/46200]	Loss: 0.1299	LR: 0.004000
Training Epoch: 33 [29440/46200]	Loss: 0.1437	LR: 0.004000
Training Epoch: 33 [29696/46200]	Loss: 0.1755	LR: 0.004000
Training Epoch: 33 [29952/46200]	Loss: 0.1519	LR: 0.004000
Training Epoch: 33 [30208/46200]	Loss: 0.0776	LR: 0.004000
Training Epoch: 33 [30464/46200]	Loss: 0.1328	LR: 0.004000
Training Epoch: 33 [30720/46200]	Loss: 0.1078	LR: 0.004000
Training Epoch: 33 [30976/46200]	Loss: 0.1693	LR: 0.004000
Training Epoch: 33 [31232/46200]	Loss: 0.1834	LR: 0.004000
Training Epoch: 33 [31488/46200]	Loss: 0.1315	LR: 0.004000
Training Epoch: 33 [31744/46200]	Loss: 0.1393	LR: 0.004000
Training Epoch: 33 [32000/46200]	Loss: 0.1028	LR: 0.004000
Training Epoch: 33 [32256/46200]	Loss: 0.1473	LR: 0.004000
Training Epoch: 33 [32512/46200]	Loss: 0.1282	LR: 0.004000
Training Epoch: 33 [32768/46200]	Loss: 0.1694	LR: 0.004000
Training Epoch: 33 [33024/46200]	Loss: 0.1385	LR: 0.004000
Training Epoch: 33 [33280/46200]	Loss: 0.1227	LR: 0.004000
Training Epoch: 33 [33536/46200]	Loss: 0.1379	LR: 0.004000
Training Epoch: 33 [33792/46200]	Loss: 0.1373	LR: 0.004000
Training Epoch: 33 [34048/46200]	Loss: 0.1315	LR: 0.004000
Training Epoch: 33 [34304/46200]	Loss: 0.1452	LR: 0.004000
Training Epoch: 33 [34560/46200]	Loss: 0.1416	LR: 0.004000
Training Epoch: 33 [34816/46200]	Loss: 0.1140	LR: 0.004000
Training Epoch: 33 [35072/46200]	Loss: 0.1484	LR: 0.004000
Training Epoch: 33 [35328/46200]	Loss: 0.0809	LR: 0.004000
Training Epoch: 33 [35584/46200]	Loss: 0.1181	LR: 0.004000
Training Epoch: 33 [35840/46200]	Loss: 0.1170	LR: 0.004000
Training Epoch: 33 [36096/46200]	Loss: 0.1485	LR: 0.004000
Training Epoch: 33 [36352/46200]	Loss: 0.1545	LR: 0.004000
Training Epoch: 33 [36608/46200]	Loss: 0.1440	LR: 0.004000
Training Epoch: 33 [36864/46200]	Loss: 0.1245	LR: 0.004000
Training Epoch: 33 [37120/46200]	Loss: 0.1388	LR: 0.004000
Training Epoch: 33 [37376/46200]	Loss: 0.1638	LR: 0.004000
Training Epoch: 33 [37632/46200]	Loss: 0.1323	LR: 0.004000
Training Epoch: 33 [37888/46200]	Loss: 0.1303	LR: 0.004000
Training Epoch: 33 [38144/46200]	Loss: 0.0801	LR: 0.004000
Training Epoch: 33 [38400/46200]	Loss: 0.2003	LR: 0.004000
Training Epoch: 33 [38656/46200]	Loss: 0.1625	LR: 0.004000
Training Epoch: 33 [38912/46200]	Loss: 0.1201	LR: 0.004000
Training Epoch: 33 [39168/46200]	Loss: 0.1391	LR: 0.004000
Training Epoch: 33 [39424/46200]	Loss: 0.1285	LR: 0.004000
Training Epoch: 33 [39680/46200]	Loss: 0.1198	LR: 0.004000
Training Epoch: 33 [39936/46200]	Loss: 0.1681	LR: 0.004000
Training Epoch: 33 [40192/46200]	Loss: 0.1421	LR: 0.004000
Training Epoch: 33 [40448/46200]	Loss: 0.1083	LR: 0.004000
Training Epoch: 33 [40704/46200]	Loss: 0.1310	LR: 0.004000
Training Epoch: 33 [40960/46200]	Loss: 0.2361	LR: 0.004000
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Training Epoch: 33 [41472/46200]	Loss: 0.1415	LR: 0.004000
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Training Epoch: 33 [45568/46200]	Loss: 0.1933	LR: 0.004000
Training Epoch: 33 [45824/46200]	Loss: 0.1631	LR: 0.004000
Training Epoch: 33 [46080/46200]	Loss: 0.1151	LR: 0.004000
Training Epoch: 33 [46200/46200]	Loss: 0.1882	LR: 0.004000
Epoch 33 - Average Train Loss: 0.1423, Train Accuracy: 0.9583
Epoch 33 training time consumed: 27.45s
Evaluating Network.....
Test set: Epoch: 33, Average loss: 0.0028, Accuracy: 0.8048, Time consumed:0.87s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_02h_20m_53s/ResNet18-Cifar20-seed5-ret25-33-best.pth
Training Epoch: 34 [256/46200]	Loss: 0.1184	LR: 0.004000
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Training Epoch: 34 [44288/46200]	Loss: 0.1163	LR: 0.004000
Training Epoch: 34 [44544/46200]	Loss: 0.1247	LR: 0.004000
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Training Epoch: 34 [45056/46200]	Loss: 0.1351	LR: 0.004000
Training Epoch: 34 [45312/46200]	Loss: 0.1567	LR: 0.004000
Training Epoch: 34 [45568/46200]	Loss: 0.1605	LR: 0.004000
Training Epoch: 34 [45824/46200]	Loss: 0.1242	LR: 0.004000
Training Epoch: 34 [46080/46200]	Loss: 0.1214	LR: 0.004000
Training Epoch: 34 [46200/46200]	Loss: 0.1608	LR: 0.004000
Epoch 34 - Average Train Loss: 0.1327, Train Accuracy: 0.9601
Epoch 34 training time consumed: 27.56s
Evaluating Network.....
Test set: Epoch: 34, Average loss: 0.0029, Accuracy: 0.8035, Time consumed:0.89s
Training Epoch: 35 [256/46200]	Loss: 0.1939	LR: 0.000800
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Training Epoch: 35 [1280/46200]	Loss: 0.1458	LR: 0.000800
Training Epoch: 35 [1536/46200]	Loss: 0.1573	LR: 0.000800
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Training Epoch: 35 [25600/46200]	Loss: 0.0853	LR: 0.000800
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Training Epoch: 35 [28416/46200]	Loss: 0.0976	LR: 0.000800
Training Epoch: 35 [28672/46200]	Loss: 0.1529	LR: 0.000800
Training Epoch: 35 [28928/46200]	Loss: 0.1261	LR: 0.000800
Training Epoch: 35 [29184/46200]	Loss: 0.1032	LR: 0.000800
Training Epoch: 35 [29440/46200]	Loss: 0.1351	LR: 0.000800
Training Epoch: 35 [29696/46200]	Loss: 0.1210	LR: 0.000800
Training Epoch: 35 [29952/46200]	Loss: 0.0988	LR: 0.000800
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Training Epoch: 35 [30976/46200]	Loss: 0.0909	LR: 0.000800
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Training Epoch: 35 [31488/46200]	Loss: 0.0983	LR: 0.000800
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Training Epoch: 35 [32256/46200]	Loss: 0.1095	LR: 0.000800
Training Epoch: 35 [32512/46200]	Loss: 0.1240	LR: 0.000800
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Training Epoch: 35 [36864/46200]	Loss: 0.1190	LR: 0.000800
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Training Epoch: 35 [37376/46200]	Loss: 0.0819	LR: 0.000800
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Training Epoch: 35 [37888/46200]	Loss: 0.1082	LR: 0.000800
Training Epoch: 35 [38144/46200]	Loss: 0.1198	LR: 0.000800
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Training Epoch: 35 [38656/46200]	Loss: 0.1140	LR: 0.000800
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Training Epoch: 35 [39424/46200]	Loss: 0.1352	LR: 0.000800
Training Epoch: 35 [39680/46200]	Loss: 0.0848	LR: 0.000800
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Training Epoch: 35 [40192/46200]	Loss: 0.1604	LR: 0.000800
Training Epoch: 35 [40448/46200]	Loss: 0.1007	LR: 0.000800
Training Epoch: 35 [40704/46200]	Loss: 0.1175	LR: 0.000800
Training Epoch: 35 [40960/46200]	Loss: 0.0920	LR: 0.000800
Training Epoch: 35 [41216/46200]	Loss: 0.1181	LR: 0.000800
Training Epoch: 35 [41472/46200]	Loss: 0.1165	LR: 0.000800
Training Epoch: 35 [41728/46200]	Loss: 0.1351	LR: 0.000800
Training Epoch: 35 [41984/46200]	Loss: 0.1424	LR: 0.000800
Training Epoch: 35 [42240/46200]	Loss: 0.1045	LR: 0.000800
Training Epoch: 35 [42496/46200]	Loss: 0.1138	LR: 0.000800
Training Epoch: 35 [42752/46200]	Loss: 0.1341	LR: 0.000800
Training Epoch: 35 [43008/46200]	Loss: 0.1158	LR: 0.000800
Training Epoch: 35 [43264/46200]	Loss: 0.0762	LR: 0.000800
Training Epoch: 35 [43520/46200]	Loss: 0.0725	LR: 0.000800
Training Epoch: 35 [43776/46200]	Loss: 0.0882	LR: 0.000800
Training Epoch: 35 [44032/46200]	Loss: 0.1491	LR: 0.000800
Training Epoch: 35 [44288/46200]	Loss: 0.0988	LR: 0.000800
Training Epoch: 35 [44544/46200]	Loss: 0.1617	LR: 0.000800
Training Epoch: 35 [44800/46200]	Loss: 0.0914	LR: 0.000800
Training Epoch: 35 [45056/46200]	Loss: 0.0925	LR: 0.000800
Training Epoch: 35 [45312/46200]	Loss: 0.1087	LR: 0.000800
Training Epoch: 35 [45568/46200]	Loss: 0.1036	LR: 0.000800
Training Epoch: 35 [45824/46200]	Loss: 0.1124	LR: 0.000800
Training Epoch: 35 [46080/46200]	Loss: 0.0896	LR: 0.000800
Training Epoch: 35 [46200/46200]	Loss: 0.1168	LR: 0.000800
Epoch 35 - Average Train Loss: 0.1160, Train Accuracy: 0.9664
Epoch 35 training time consumed: 27.51s
Evaluating Network.....
Test set: Epoch: 35, Average loss: 0.0029, Accuracy: 0.8058, Time consumed:0.85s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_02h_20m_53s/ResNet18-Cifar20-seed5-ret25-35-best.pth
Training Epoch: 36 [256/46200]	Loss: 0.1432	LR: 0.000800
Training Epoch: 36 [512/46200]	Loss: 0.1081	LR: 0.000800
Training Epoch: 36 [768/46200]	Loss: 0.0972	LR: 0.000800
Training Epoch: 36 [1024/46200]	Loss: 0.0988	LR: 0.000800
Training Epoch: 36 [1280/46200]	Loss: 0.1118	LR: 0.000800
Training Epoch: 36 [1536/46200]	Loss: 0.1176	LR: 0.000800
Training Epoch: 36 [1792/46200]	Loss: 0.1127	LR: 0.000800
Training Epoch: 36 [2048/46200]	Loss: 0.1003	LR: 0.000800
Training Epoch: 36 [2304/46200]	Loss: 0.0800	LR: 0.000800
Training Epoch: 36 [2560/46200]	Loss: 0.1339	LR: 0.000800
Training Epoch: 36 [2816/46200]	Loss: 0.0929	LR: 0.000800
Training Epoch: 36 [3072/46200]	Loss: 0.0709	LR: 0.000800
Training Epoch: 36 [3328/46200]	Loss: 0.0748	LR: 0.000800
Training Epoch: 36 [3584/46200]	Loss: 0.0713	LR: 0.000800
Training Epoch: 36 [3840/46200]	Loss: 0.1119	LR: 0.000800
Training Epoch: 36 [4096/46200]	Loss: 0.0947	LR: 0.000800
Training Epoch: 36 [4352/46200]	Loss: 0.0845	LR: 0.000800
Training Epoch: 36 [4608/46200]	Loss: 0.1107	LR: 0.000800
Training Epoch: 36 [4864/46200]	Loss: 0.0909	LR: 0.000800
Training Epoch: 36 [5120/46200]	Loss: 0.1039	LR: 0.000800
Training Epoch: 36 [5376/46200]	Loss: 0.1280	LR: 0.000800
Training Epoch: 36 [5632/46200]	Loss: 0.1318	LR: 0.000800
Training Epoch: 36 [5888/46200]	Loss: 0.1124	LR: 0.000800
Training Epoch: 36 [6144/46200]	Loss: 0.1066	LR: 0.000800
Training Epoch: 36 [6400/46200]	Loss: 0.1153	LR: 0.000800
Training Epoch: 36 [6656/46200]	Loss: 0.1379	LR: 0.000800
Training Epoch: 36 [6912/46200]	Loss: 0.0954	LR: 0.000800
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Training Epoch: 36 [8448/46200]	Loss: 0.1134	LR: 0.000800
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Training Epoch: 36 [8960/46200]	Loss: 0.1058	LR: 0.000800
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Training Epoch: 36 [9472/46200]	Loss: 0.0871	LR: 0.000800
Training Epoch: 36 [9728/46200]	Loss: 0.1252	LR: 0.000800
Training Epoch: 36 [9984/46200]	Loss: 0.1066	LR: 0.000800
Training Epoch: 36 [10240/46200]	Loss: 0.0861	LR: 0.000800
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Training Epoch: 36 [11008/46200]	Loss: 0.0994	LR: 0.000800
Training Epoch: 36 [11264/46200]	Loss: 0.1308	LR: 0.000800
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Training Epoch: 36 [11776/46200]	Loss: 0.1177	LR: 0.000800
Training Epoch: 36 [12032/46200]	Loss: 0.1148	LR: 0.000800
Training Epoch: 36 [12288/46200]	Loss: 0.1059	LR: 0.000800
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Training Epoch: 36 [13568/46200]	Loss: 0.0836	LR: 0.000800
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Training Epoch: 36 [25856/46200]	Loss: 0.1112	LR: 0.000800
Training Epoch: 36 [26112/46200]	Loss: 0.1555	LR: 0.000800
Training Epoch: 36 [26368/46200]	Loss: 0.1272	LR: 0.000800
Training Epoch: 36 [26624/46200]	Loss: 0.1323	LR: 0.000800
Training Epoch: 36 [26880/46200]	Loss: 0.0715	LR: 0.000800
Training Epoch: 36 [27136/46200]	Loss: 0.1204	LR: 0.000800
Training Epoch: 36 [27392/46200]	Loss: 0.1600	LR: 0.000800
Training Epoch: 36 [27648/46200]	Loss: 0.1197	LR: 0.000800
Training Epoch: 36 [27904/46200]	Loss: 0.1249	LR: 0.000800
Training Epoch: 36 [28160/46200]	Loss: 0.1624	LR: 0.000800
Training Epoch: 36 [28416/46200]	Loss: 0.1143	LR: 0.000800
Training Epoch: 36 [28672/46200]	Loss: 0.1066	LR: 0.000800
Training Epoch: 36 [28928/46200]	Loss: 0.1667	LR: 0.000800
Training Epoch: 36 [29184/46200]	Loss: 0.0929	LR: 0.000800
Training Epoch: 36 [29440/46200]	Loss: 0.1159	LR: 0.000800
Training Epoch: 36 [29696/46200]	Loss: 0.1329	LR: 0.000800
Training Epoch: 36 [29952/46200]	Loss: 0.0969	LR: 0.000800
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Training Epoch: 36 [30464/46200]	Loss: 0.0958	LR: 0.000800
Training Epoch: 36 [30720/46200]	Loss: 0.0739	LR: 0.000800
Training Epoch: 36 [30976/46200]	Loss: 0.1177	LR: 0.000800
Training Epoch: 36 [31232/46200]	Loss: 0.1107	LR: 0.000800
Training Epoch: 36 [31488/46200]	Loss: 0.1026	LR: 0.000800
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Training Epoch: 36 [32000/46200]	Loss: 0.1210	LR: 0.000800
Training Epoch: 36 [32256/46200]	Loss: 0.1553	LR: 0.000800
Training Epoch: 36 [32512/46200]	Loss: 0.0817	LR: 0.000800
Training Epoch: 36 [32768/46200]	Loss: 0.0819	LR: 0.000800
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Training Epoch: 36 [33792/46200]	Loss: 0.1508	LR: 0.000800
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Training Epoch: 36 [35328/46200]	Loss: 0.1328	LR: 0.000800
Training Epoch: 36 [35584/46200]	Loss: 0.0999	LR: 0.000800
Training Epoch: 36 [35840/46200]	Loss: 0.1309	LR: 0.000800
Training Epoch: 36 [36096/46200]	Loss: 0.1299	LR: 0.000800
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Training Epoch: 36 [36608/46200]	Loss: 0.1431	LR: 0.000800
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Training Epoch: 36 [37632/46200]	Loss: 0.1117	LR: 0.000800
Training Epoch: 36 [37888/46200]	Loss: 0.1308	LR: 0.000800
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Training Epoch: 36 [38656/46200]	Loss: 0.0732	LR: 0.000800
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Training Epoch: 36 [39424/46200]	Loss: 0.0887	LR: 0.000800
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Training Epoch: 36 [39936/46200]	Loss: 0.0951	LR: 0.000800
Training Epoch: 36 [40192/46200]	Loss: 0.0944	LR: 0.000800
Training Epoch: 36 [40448/46200]	Loss: 0.1206	LR: 0.000800
Training Epoch: 36 [40704/46200]	Loss: 0.1135	LR: 0.000800
Training Epoch: 36 [40960/46200]	Loss: 0.1194	LR: 0.000800
Training Epoch: 36 [41216/46200]	Loss: 0.1230	LR: 0.000800
Training Epoch: 36 [41472/46200]	Loss: 0.1401	LR: 0.000800
Training Epoch: 36 [41728/46200]	Loss: 0.1487	LR: 0.000800
Training Epoch: 36 [41984/46200]	Loss: 0.1073	LR: 0.000800
Training Epoch: 36 [42240/46200]	Loss: 0.1238	LR: 0.000800
Training Epoch: 36 [42496/46200]	Loss: 0.0912	LR: 0.000800
Training Epoch: 36 [42752/46200]	Loss: 0.1031	LR: 0.000800
Training Epoch: 36 [43008/46200]	Loss: 0.1162	LR: 0.000800
Training Epoch: 36 [43264/46200]	Loss: 0.1018	LR: 0.000800
Training Epoch: 36 [43520/46200]	Loss: 0.1283	LR: 0.000800
Training Epoch: 36 [43776/46200]	Loss: 0.1185	LR: 0.000800
Training Epoch: 36 [44032/46200]	Loss: 0.1180	LR: 0.000800
Training Epoch: 36 [44288/46200]	Loss: 0.1191	LR: 0.000800
Training Epoch: 36 [44544/46200]	Loss: 0.1555	LR: 0.000800
Training Epoch: 36 [44800/46200]	Loss: 0.0911	LR: 0.000800
Training Epoch: 36 [45056/46200]	Loss: 0.1236	LR: 0.000800
Training Epoch: 36 [45312/46200]	Loss: 0.1296	LR: 0.000800
Training Epoch: 36 [45568/46200]	Loss: 0.1197	LR: 0.000800
Training Epoch: 36 [45824/46200]	Loss: 0.1195	LR: 0.000800
Training Epoch: 36 [46080/46200]	Loss: 0.1019	LR: 0.000800
Training Epoch: 36 [46200/46200]	Loss: 0.2400	LR: 0.000800
Epoch 36 - Average Train Loss: 0.1125, Train Accuracy: 0.9679
Epoch 36 training time consumed: 27.40s
Evaluating Network.....
Test set: Epoch: 36, Average loss: 0.0029, Accuracy: 0.8057, Time consumed:0.89s
Training Epoch: 37 [256/46200]	Loss: 0.0717	LR: 0.000800
Training Epoch: 37 [512/46200]	Loss: 0.0701	LR: 0.000800
Training Epoch: 37 [768/46200]	Loss: 0.1175	LR: 0.000800
Training Epoch: 37 [1024/46200]	Loss: 0.0775	LR: 0.000800
Training Epoch: 37 [1280/46200]	Loss: 0.1185	LR: 0.000800
Training Epoch: 37 [1536/46200]	Loss: 0.0862	LR: 0.000800
Training Epoch: 37 [1792/46200]	Loss: 0.1171	LR: 0.000800
Training Epoch: 37 [2048/46200]	Loss: 0.0877	LR: 0.000800
Training Epoch: 37 [2304/46200]	Loss: 0.1247	LR: 0.000800
Training Epoch: 37 [2560/46200]	Loss: 0.1333	LR: 0.000800
Training Epoch: 37 [2816/46200]	Loss: 0.1300	LR: 0.000800
Training Epoch: 37 [3072/46200]	Loss: 0.1133	LR: 0.000800
Training Epoch: 37 [3328/46200]	Loss: 0.1387	LR: 0.000800
Training Epoch: 37 [3584/46200]	Loss: 0.1550	LR: 0.000800
Training Epoch: 37 [3840/46200]	Loss: 0.0951	LR: 0.000800
Training Epoch: 37 [4096/46200]	Loss: 0.1023	LR: 0.000800
Training Epoch: 37 [4352/46200]	Loss: 0.0931	LR: 0.000800
Training Epoch: 37 [4608/46200]	Loss: 0.0922	LR: 0.000800
Training Epoch: 37 [4864/46200]	Loss: 0.0843	LR: 0.000800
Training Epoch: 37 [5120/46200]	Loss: 0.0949	LR: 0.000800
Training Epoch: 37 [5376/46200]	Loss: 0.1101	LR: 0.000800
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Training Epoch: 37 [40448/46200]	Loss: 0.0903	LR: 0.000800
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Training Epoch: 37 [42240/46200]	Loss: 0.1003	LR: 0.000800
Training Epoch: 37 [42496/46200]	Loss: 0.0785	LR: 0.000800
Training Epoch: 37 [42752/46200]	Loss: 0.1129	LR: 0.000800
Training Epoch: 37 [43008/46200]	Loss: 0.0969	LR: 0.000800
Training Epoch: 37 [43264/46200]	Loss: 0.1208	LR: 0.000800
Training Epoch: 37 [43520/46200]	Loss: 0.1038	LR: 0.000800
Training Epoch: 37 [43776/46200]	Loss: 0.0887	LR: 0.000800
Training Epoch: 37 [44032/46200]	Loss: 0.0883	LR: 0.000800
Training Epoch: 37 [44288/46200]	Loss: 0.1038	LR: 0.000800
Training Epoch: 37 [44544/46200]	Loss: 0.0572	LR: 0.000800
Training Epoch: 37 [44800/46200]	Loss: 0.1126	LR: 0.000800
Training Epoch: 37 [45056/46200]	Loss: 0.1143	LR: 0.000800
Training Epoch: 37 [45312/46200]	Loss: 0.1492	LR: 0.000800
Training Epoch: 37 [45568/46200]	Loss: 0.1378	LR: 0.000800
Training Epoch: 37 [45824/46200]	Loss: 0.0996	LR: 0.000800
Training Epoch: 37 [46080/46200]	Loss: 0.0979	LR: 0.000800
Training Epoch: 37 [46200/46200]	Loss: 0.1615	LR: 0.000800
Epoch 37 - Average Train Loss: 0.1086, Train Accuracy: 0.9702
Epoch 37 training time consumed: 27.89s
Evaluating Network.....
Test set: Epoch: 37, Average loss: 0.0028, Accuracy: 0.8088, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_02h_20m_53s/ResNet18-Cifar20-seed5-ret25-37-best.pth
Training Epoch: 38 [256/46200]	Loss: 0.1286	LR: 0.000800
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Training Epoch: 38 [1536/46200]	Loss: 0.1028	LR: 0.000800
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Training Epoch: 38 [29696/46200]	Loss: 0.1120	LR: 0.000800
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Training Epoch: 38 [32256/46200]	Loss: 0.0869	LR: 0.000800
Training Epoch: 38 [32512/46200]	Loss: 0.0813	LR: 0.000800
Training Epoch: 38 [32768/46200]	Loss: 0.1285	LR: 0.000800
Training Epoch: 38 [33024/46200]	Loss: 0.1163	LR: 0.000800
Training Epoch: 38 [33280/46200]	Loss: 0.0947	LR: 0.000800
Training Epoch: 38 [33536/46200]	Loss: 0.1460	LR: 0.000800
Training Epoch: 38 [33792/46200]	Loss: 0.1379	LR: 0.000800
Training Epoch: 38 [34048/46200]	Loss: 0.0956	LR: 0.000800
Training Epoch: 38 [34304/46200]	Loss: 0.1041	LR: 0.000800
Training Epoch: 38 [34560/46200]	Loss: 0.1226	LR: 0.000800
Training Epoch: 38 [34816/46200]	Loss: 0.0717	LR: 0.000800
Training Epoch: 38 [35072/46200]	Loss: 0.1091	LR: 0.000800
Training Epoch: 38 [35328/46200]	Loss: 0.0931	LR: 0.000800
Training Epoch: 38 [35584/46200]	Loss: 0.1125	LR: 0.000800
Training Epoch: 38 [35840/46200]	Loss: 0.1230	LR: 0.000800
Training Epoch: 38 [36096/46200]	Loss: 0.1016	LR: 0.000800
Training Epoch: 38 [36352/46200]	Loss: 0.1007	LR: 0.000800
Training Epoch: 38 [36608/46200]	Loss: 0.1088	LR: 0.000800
Training Epoch: 38 [36864/46200]	Loss: 0.1022	LR: 0.000800
Training Epoch: 38 [37120/46200]	Loss: 0.0889	LR: 0.000800
Training Epoch: 38 [37376/46200]	Loss: 0.0857	LR: 0.000800
Training Epoch: 38 [37632/46200]	Loss: 0.1075	LR: 0.000800
Training Epoch: 38 [37888/46200]	Loss: 0.1236	LR: 0.000800
Training Epoch: 38 [38144/46200]	Loss: 0.1140	LR: 0.000800
Training Epoch: 38 [38400/46200]	Loss: 0.1330	LR: 0.000800
Training Epoch: 38 [38656/46200]	Loss: 0.1182	LR: 0.000800
Training Epoch: 38 [38912/46200]	Loss: 0.1339	LR: 0.000800
Training Epoch: 38 [39168/46200]	Loss: 0.0996	LR: 0.000800
Training Epoch: 38 [39424/46200]	Loss: 0.1069	LR: 0.000800
Training Epoch: 38 [39680/46200]	Loss: 0.1355	LR: 0.000800
Training Epoch: 38 [39936/46200]	Loss: 0.0841	LR: 0.000800
Training Epoch: 38 [40192/46200]	Loss: 0.1024	LR: 0.000800
Training Epoch: 38 [40448/46200]	Loss: 0.0874	LR: 0.000800
Training Epoch: 38 [40704/46200]	Loss: 0.0956	LR: 0.000800
Training Epoch: 38 [40960/46200]	Loss: 0.1342	LR: 0.000800
Training Epoch: 38 [41216/46200]	Loss: 0.1176	LR: 0.000800
Training Epoch: 38 [41472/46200]	Loss: 0.1550	LR: 0.000800
Training Epoch: 38 [41728/46200]	Loss: 0.1216	LR: 0.000800
Training Epoch: 38 [41984/46200]	Loss: 0.1172	LR: 0.000800
Training Epoch: 38 [42240/46200]	Loss: 0.0894	LR: 0.000800
Training Epoch: 38 [42496/46200]	Loss: 0.1196	LR: 0.000800
Training Epoch: 38 [42752/46200]	Loss: 0.1057	LR: 0.000800
Training Epoch: 38 [43008/46200]	Loss: 0.1316	LR: 0.000800
Training Epoch: 38 [43264/46200]	Loss: 0.1049	LR: 0.000800
Training Epoch: 38 [43520/46200]	Loss: 0.1066	LR: 0.000800
Training Epoch: 38 [43776/46200]	Loss: 0.0869	LR: 0.000800
Training Epoch: 38 [44032/46200]	Loss: 0.1118	LR: 0.000800
Training Epoch: 38 [44288/46200]	Loss: 0.1447	LR: 0.000800
Training Epoch: 38 [44544/46200]	Loss: 0.1163	LR: 0.000800
Training Epoch: 38 [44800/46200]	Loss: 0.1038	LR: 0.000800
Training Epoch: 38 [45056/46200]	Loss: 0.0687	LR: 0.000800
Training Epoch: 38 [45312/46200]	Loss: 0.0803	LR: 0.000800
Training Epoch: 38 [45568/46200]	Loss: 0.1144	LR: 0.000800
Training Epoch: 38 [45824/46200]	Loss: 0.0789	LR: 0.000800
Training Epoch: 38 [46080/46200]	Loss: 0.0776	LR: 0.000800
Training Epoch: 38 [46200/46200]	Loss: 0.1071	LR: 0.000800
Epoch 38 - Average Train Loss: 0.1065, Train Accuracy: 0.9693
Epoch 38 training time consumed: 27.64s
Evaluating Network.....
Test set: Epoch: 38, Average loss: 0.0029, Accuracy: 0.8058, Time consumed:0.88s
Training Epoch: 39 [256/46200]	Loss: 0.0939	LR: 0.000800
Training Epoch: 39 [512/46200]	Loss: 0.0926	LR: 0.000800
Training Epoch: 39 [768/46200]	Loss: 0.0999	LR: 0.000800
Training Epoch: 39 [1024/46200]	Loss: 0.1021	LR: 0.000800
Training Epoch: 39 [1280/46200]	Loss: 0.0583	LR: 0.000800
Training Epoch: 39 [1536/46200]	Loss: 0.1242	LR: 0.000800
Training Epoch: 39 [1792/46200]	Loss: 0.0914	LR: 0.000800
Training Epoch: 39 [2048/46200]	Loss: 0.1061	LR: 0.000800
Training Epoch: 39 [2304/46200]	Loss: 0.1345	LR: 0.000800
Training Epoch: 39 [2560/46200]	Loss: 0.1105	LR: 0.000800
Training Epoch: 39 [2816/46200]	Loss: 0.1111	LR: 0.000800
Training Epoch: 39 [3072/46200]	Loss: 0.1359	LR: 0.000800
Training Epoch: 39 [3328/46200]	Loss: 0.0771	LR: 0.000800
Training Epoch: 39 [3584/46200]	Loss: 0.0974	LR: 0.000800
Training Epoch: 39 [3840/46200]	Loss: 0.0929	LR: 0.000800
Training Epoch: 39 [4096/46200]	Loss: 0.0565	LR: 0.000800
Training Epoch: 39 [4352/46200]	Loss: 0.0917	LR: 0.000800
Training Epoch: 39 [4608/46200]	Loss: 0.1370	LR: 0.000800
Training Epoch: 39 [4864/46200]	Loss: 0.0965	LR: 0.000800
Training Epoch: 39 [5120/46200]	Loss: 0.1407	LR: 0.000800
Training Epoch: 39 [5376/46200]	Loss: 0.0999	LR: 0.000800
Training Epoch: 39 [5632/46200]	Loss: 0.0767	LR: 0.000800
Training Epoch: 39 [5888/46200]	Loss: 0.0839	LR: 0.000800
Training Epoch: 39 [6144/46200]	Loss: 0.1135	LR: 0.000800
Training Epoch: 39 [6400/46200]	Loss: 0.1157	LR: 0.000800
Training Epoch: 39 [6656/46200]	Loss: 0.0796	LR: 0.000800
Training Epoch: 39 [6912/46200]	Loss: 0.0985	LR: 0.000800
Training Epoch: 39 [7168/46200]	Loss: 0.1103	LR: 0.000800
Training Epoch: 39 [7424/46200]	Loss: 0.0999	LR: 0.000800
Training Epoch: 39 [7680/46200]	Loss: 0.1543	LR: 0.000800
Training Epoch: 39 [7936/46200]	Loss: 0.1171	LR: 0.000800
Training Epoch: 39 [8192/46200]	Loss: 0.1263	LR: 0.000800
Training Epoch: 39 [8448/46200]	Loss: 0.1259	LR: 0.000800
Training Epoch: 39 [8704/46200]	Loss: 0.1218	LR: 0.000800
Training Epoch: 39 [8960/46200]	Loss: 0.1828	LR: 0.000800
Training Epoch: 39 [9216/46200]	Loss: 0.1160	LR: 0.000800
Training Epoch: 39 [9472/46200]	Loss: 0.1132	LR: 0.000800
Training Epoch: 39 [9728/46200]	Loss: 0.1240	LR: 0.000800
Training Epoch: 39 [9984/46200]	Loss: 0.1441	LR: 0.000800
Training Epoch: 39 [10240/46200]	Loss: 0.0647	LR: 0.000800
Training Epoch: 39 [10496/46200]	Loss: 0.1082	LR: 0.000800
Training Epoch: 39 [10752/46200]	Loss: 0.1261	LR: 0.000800
Training Epoch: 39 [11008/46200]	Loss: 0.1235	LR: 0.000800
Training Epoch: 39 [11264/46200]	Loss: 0.1212	LR: 0.000800
Training Epoch: 39 [11520/46200]	Loss: 0.0971	LR: 0.000800
Training Epoch: 39 [11776/46200]	Loss: 0.0924	LR: 0.000800
Training Epoch: 39 [12032/46200]	Loss: 0.0772	LR: 0.000800
Training Epoch: 39 [12288/46200]	Loss: 0.0666	LR: 0.000800
Training Epoch: 39 [12544/46200]	Loss: 0.0911	LR: 0.000800
Training Epoch: 39 [12800/46200]	Loss: 0.1093	LR: 0.000800
Training Epoch: 39 [13056/46200]	Loss: 0.1026	LR: 0.000800
Training Epoch: 39 [13312/46200]	Loss: 0.1022	LR: 0.000800
Training Epoch: 39 [13568/46200]	Loss: 0.1293	LR: 0.000800
Training Epoch: 39 [13824/46200]	Loss: 0.0859	LR: 0.000800
Training Epoch: 39 [14080/46200]	Loss: 0.0788	LR: 0.000800
Training Epoch: 39 [14336/46200]	Loss: 0.1025	LR: 0.000800
Training Epoch: 39 [14592/46200]	Loss: 0.1358	LR: 0.000800
Training Epoch: 39 [14848/46200]	Loss: 0.0988	LR: 0.000800
Training Epoch: 39 [15104/46200]	Loss: 0.0765	LR: 0.000800
Training Epoch: 39 [15360/46200]	Loss: 0.1161	LR: 0.000800
Training Epoch: 39 [15616/46200]	Loss: 0.0697	LR: 0.000800
Training Epoch: 39 [15872/46200]	Loss: 0.1182	LR: 0.000800
Training Epoch: 39 [16128/46200]	Loss: 0.0724	LR: 0.000800
Training Epoch: 39 [16384/46200]	Loss: 0.1429	LR: 0.000800
Training Epoch: 39 [16640/46200]	Loss: 0.1000	LR: 0.000800
Training Epoch: 39 [16896/46200]	Loss: 0.1134	LR: 0.000800
Training Epoch: 39 [17152/46200]	Loss: 0.1089	LR: 0.000800
Training Epoch: 39 [17408/46200]	Loss: 0.0733	LR: 0.000800
Training Epoch: 39 [17664/46200]	Loss: 0.0922	LR: 0.000800
Training Epoch: 39 [17920/46200]	Loss: 0.1207	LR: 0.000800
Training Epoch: 39 [18176/46200]	Loss: 0.1102	LR: 0.000800
Training Epoch: 39 [18432/46200]	Loss: 0.0896	LR: 0.000800
Training Epoch: 39 [18688/46200]	Loss: 0.0960	LR: 0.000800
Training Epoch: 39 [18944/46200]	Loss: 0.1480	LR: 0.000800
Training Epoch: 39 [19200/46200]	Loss: 0.0848	LR: 0.000800
Training Epoch: 39 [19456/46200]	Loss: 0.1281	LR: 0.000800
Training Epoch: 39 [19712/46200]	Loss: 0.1321	LR: 0.000800
Training Epoch: 39 [19968/46200]	Loss: 0.1039	LR: 0.000800
Training Epoch: 39 [20224/46200]	Loss: 0.0627	LR: 0.000800
Training Epoch: 39 [20480/46200]	Loss: 0.1536	LR: 0.000800
Training Epoch: 39 [20736/46200]	Loss: 0.1146	LR: 0.000800
Training Epoch: 39 [20992/46200]	Loss: 0.1338	LR: 0.000800
Training Epoch: 39 [21248/46200]	Loss: 0.1069	LR: 0.000800
Training Epoch: 39 [21504/46200]	Loss: 0.0855	LR: 0.000800
Training Epoch: 39 [21760/46200]	Loss: 0.1122	LR: 0.000800
Training Epoch: 39 [22016/46200]	Loss: 0.1568	LR: 0.000800
Training Epoch: 39 [22272/46200]	Loss: 0.1227	LR: 0.000800
Training Epoch: 39 [22528/46200]	Loss: 0.1367	LR: 0.000800
Training Epoch: 39 [22784/46200]	Loss: 0.1165	LR: 0.000800
Training Epoch: 39 [23040/46200]	Loss: 0.0843	LR: 0.000800
Training Epoch: 39 [23296/46200]	Loss: 0.1241	LR: 0.000800
Training Epoch: 39 [23552/46200]	Loss: 0.0895	LR: 0.000800
Training Epoch: 39 [23808/46200]	Loss: 0.0950	LR: 0.000800
Training Epoch: 39 [24064/46200]	Loss: 0.1345	LR: 0.000800
Training Epoch: 39 [24320/46200]	Loss: 0.0994	LR: 0.000800
Training Epoch: 39 [24576/46200]	Loss: 0.0995	LR: 0.000800
Training Epoch: 39 [24832/46200]	Loss: 0.1380	LR: 0.000800
Training Epoch: 39 [25088/46200]	Loss: 0.1191	LR: 0.000800
Training Epoch: 39 [25344/46200]	Loss: 0.1160	LR: 0.000800
Training Epoch: 39 [25600/46200]	Loss: 0.1009	LR: 0.000800
Training Epoch: 39 [25856/46200]	Loss: 0.1064	LR: 0.000800
Training Epoch: 39 [26112/46200]	Loss: 0.0838	LR: 0.000800
Training Epoch: 39 [26368/46200]	Loss: 0.0968	LR: 0.000800
Training Epoch: 39 [26624/46200]	Loss: 0.0954	LR: 0.000800
Training Epoch: 39 [26880/46200]	Loss: 0.0894	LR: 0.000800
Training Epoch: 39 [27136/46200]	Loss: 0.0935	LR: 0.000800
Training Epoch: 39 [27392/46200]	Loss: 0.1636	LR: 0.000800
Training Epoch: 39 [27648/46200]	Loss: 0.1024	LR: 0.000800
Training Epoch: 39 [27904/46200]	Loss: 0.1113	LR: 0.000800
Training Epoch: 39 [28160/46200]	Loss: 0.0892	LR: 0.000800
Training Epoch: 39 [28416/46200]	Loss: 0.1221	LR: 0.000800
Training Epoch: 39 [28672/46200]	Loss: 0.0963	LR: 0.000800
Training Epoch: 39 [28928/46200]	Loss: 0.1109	LR: 0.000800
Training Epoch: 39 [29184/46200]	Loss: 0.0843	LR: 0.000800
Training Epoch: 39 [29440/46200]	Loss: 0.0618	LR: 0.000800
Training Epoch: 39 [29696/46200]	Loss: 0.1020	LR: 0.000800
Training Epoch: 39 [29952/46200]	Loss: 0.1387	LR: 0.000800
Training Epoch: 39 [30208/46200]	Loss: 0.1164	LR: 0.000800
Training Epoch: 39 [30464/46200]	Loss: 0.1133	LR: 0.000800
Training Epoch: 39 [30720/46200]	Loss: 0.1401	LR: 0.000800
Training Epoch: 39 [30976/46200]	Loss: 0.0732	LR: 0.000800
Training Epoch: 39 [31232/46200]	Loss: 0.0844	LR: 0.000800
Training Epoch: 39 [31488/46200]	Loss: 0.1043	LR: 0.000800
Training Epoch: 39 [31744/46200]	Loss: 0.1106	LR: 0.000800
Training Epoch: 39 [32000/46200]	Loss: 0.0844	LR: 0.000800
Training Epoch: 39 [32256/46200]	Loss: 0.0927	LR: 0.000800
Training Epoch: 39 [32512/46200]	Loss: 0.1365	LR: 0.000800
Training Epoch: 39 [32768/46200]	Loss: 0.0955	LR: 0.000800
Training Epoch: 39 [33024/46200]	Loss: 0.0674	LR: 0.000800
Training Epoch: 39 [33280/46200]	Loss: 0.1120	LR: 0.000800
Training Epoch: 39 [33536/46200]	Loss: 0.0766	LR: 0.000800
Training Epoch: 39 [33792/46200]	Loss: 0.1081	LR: 0.000800
Training Epoch: 39 [34048/46200]	Loss: 0.0909	LR: 0.000800
Training Epoch: 39 [34304/46200]	Loss: 0.1114	LR: 0.000800
Training Epoch: 39 [34560/46200]	Loss: 0.1105	LR: 0.000800
Training Epoch: 39 [34816/46200]	Loss: 0.1278	LR: 0.000800
Training Epoch: 39 [35072/46200]	Loss: 0.1161	LR: 0.000800
Training Epoch: 39 [35328/46200]	Loss: 0.0885	LR: 0.000800
Training Epoch: 39 [35584/46200]	Loss: 0.0802	LR: 0.000800
Training Epoch: 39 [35840/46200]	Loss: 0.0977	LR: 0.000800
Training Epoch: 39 [36096/46200]	Loss: 0.1037	LR: 0.000800
Training Epoch: 39 [36352/46200]	Loss: 0.1085	LR: 0.000800
Training Epoch: 39 [36608/46200]	Loss: 0.1324	LR: 0.000800
Training Epoch: 39 [36864/46200]	Loss: 0.0954	LR: 0.000800
Training Epoch: 39 [37120/46200]	Loss: 0.1324	LR: 0.000800
Training Epoch: 39 [37376/46200]	Loss: 0.0917	LR: 0.000800
Training Epoch: 39 [37632/46200]	Loss: 0.0833	LR: 0.000800
Training Epoch: 39 [37888/46200]	Loss: 0.1022	LR: 0.000800
Training Epoch: 39 [38144/46200]	Loss: 0.1020	LR: 0.000800
Training Epoch: 39 [38400/46200]	Loss: 0.0741	LR: 0.000800
Training Epoch: 39 [38656/46200]	Loss: 0.1160	LR: 0.000800
Training Epoch: 39 [38912/46200]	Loss: 0.0940	LR: 0.000800
Training Epoch: 39 [39168/46200]	Loss: 0.0750	LR: 0.000800
Training Epoch: 39 [39424/46200]	Loss: 0.1100	LR: 0.000800
Training Epoch: 39 [39680/46200]	Loss: 0.0900	LR: 0.000800
Training Epoch: 39 [39936/46200]	Loss: 0.0978	LR: 0.000800
Training Epoch: 39 [40192/46200]	Loss: 0.1041	LR: 0.000800
Training Epoch: 39 [40448/46200]	Loss: 0.1080	LR: 0.000800
Training Epoch: 39 [40704/46200]	Loss: 0.0808	LR: 0.000800
Training Epoch: 39 [40960/46200]	Loss: 0.1059	LR: 0.000800
Training Epoch: 39 [41216/46200]	Loss: 0.0859	LR: 0.000800
Training Epoch: 39 [41472/46200]	Loss: 0.0826	LR: 0.000800
Training Epoch: 39 [41728/46200]	Loss: 0.1055	LR: 0.000800
Training Epoch: 39 [41984/46200]	Loss: 0.0964	LR: 0.000800
Training Epoch: 39 [42240/46200]	Loss: 0.1052	LR: 0.000800
Training Epoch: 39 [42496/46200]	Loss: 0.0869	LR: 0.000800
Training Epoch: 39 [42752/46200]	Loss: 0.1004	LR: 0.000800
Training Epoch: 39 [43008/46200]	Loss: 0.1007	LR: 0.000800
Training Epoch: 39 [43264/46200]	Loss: 0.0638	LR: 0.000800
Training Epoch: 39 [43520/46200]	Loss: 0.1194	LR: 0.000800
Training Epoch: 39 [43776/46200]	Loss: 0.1301	LR: 0.000800
Training Epoch: 39 [44032/46200]	Loss: 0.1159	LR: 0.000800
Training Epoch: 39 [44288/46200]	Loss: 0.1160	LR: 0.000800
Training Epoch: 39 [44544/46200]	Loss: 0.1103	LR: 0.000800
Training Epoch: 39 [44800/46200]	Loss: 0.0978	LR: 0.000800
Training Epoch: 39 [45056/46200]	Loss: 0.1309	LR: 0.000800
Training Epoch: 39 [45312/46200]	Loss: 0.0827	LR: 0.000800
Training Epoch: 39 [45568/46200]	Loss: 0.0992	LR: 0.000800
Training Epoch: 39 [45824/46200]	Loss: 0.1114	LR: 0.000800
Training Epoch: 39 [46080/46200]	Loss: 0.0966	LR: 0.000800
Training Epoch: 39 [46200/46200]	Loss: 0.1613	LR: 0.000800
Epoch 39 - Average Train Loss: 0.1051, Train Accuracy: 0.9693
Epoch 39 training time consumed: 27.48s
Evaluating Network.....
Test set: Epoch: 39, Average loss: 0.0029, Accuracy: 0.8081, Time consumed:0.89s
Training Epoch: 40 [256/46200]	Loss: 0.0793	LR: 0.000800
Training Epoch: 40 [512/46200]	Loss: 0.1183	LR: 0.000800
Training Epoch: 40 [768/46200]	Loss: 0.0886	LR: 0.000800
Training Epoch: 40 [1024/46200]	Loss: 0.0986	LR: 0.000800
Training Epoch: 40 [1280/46200]	Loss: 0.0712	LR: 0.000800
Training Epoch: 40 [1536/46200]	Loss: 0.0958	LR: 0.000800
Training Epoch: 40 [1792/46200]	Loss: 0.0749	LR: 0.000800
Training Epoch: 40 [2048/46200]	Loss: 0.1169	LR: 0.000800
Training Epoch: 40 [2304/46200]	Loss: 0.1269	LR: 0.000800
Training Epoch: 40 [2560/46200]	Loss: 0.0795	LR: 0.000800
Training Epoch: 40 [2816/46200]	Loss: 0.1341	LR: 0.000800
Training Epoch: 40 [3072/46200]	Loss: 0.1115	LR: 0.000800
Training Epoch: 40 [3328/46200]	Loss: 0.0857	LR: 0.000800
Training Epoch: 40 [3584/46200]	Loss: 0.0955	LR: 0.000800
Training Epoch: 40 [3840/46200]	Loss: 0.0978	LR: 0.000800
Training Epoch: 40 [4096/46200]	Loss: 0.1054	LR: 0.000800
Training Epoch: 40 [4352/46200]	Loss: 0.0790	LR: 0.000800
Training Epoch: 40 [4608/46200]	Loss: 0.1038	LR: 0.000800
Training Epoch: 40 [4864/46200]	Loss: 0.1087	LR: 0.000800
Training Epoch: 40 [5120/46200]	Loss: 0.1083	LR: 0.000800
Training Epoch: 40 [5376/46200]	Loss: 0.1126	LR: 0.000800
Training Epoch: 40 [5632/46200]	Loss: 0.0825	LR: 0.000800
Training Epoch: 40 [5888/46200]	Loss: 0.1132	LR: 0.000800
Training Epoch: 40 [6144/46200]	Loss: 0.0945	LR: 0.000800
Training Epoch: 40 [6400/46200]	Loss: 0.0777	LR: 0.000800
Training Epoch: 40 [6656/46200]	Loss: 0.0992	LR: 0.000800
Training Epoch: 40 [6912/46200]	Loss: 0.0749	LR: 0.000800
Training Epoch: 40 [7168/46200]	Loss: 0.1079	LR: 0.000800
Training Epoch: 40 [7424/46200]	Loss: 0.0951	LR: 0.000800
Training Epoch: 40 [7680/46200]	Loss: 0.1341	LR: 0.000800
Training Epoch: 40 [7936/46200]	Loss: 0.1007	LR: 0.000800
Training Epoch: 40 [8192/46200]	Loss: 0.1221	LR: 0.000800
Training Epoch: 40 [8448/46200]	Loss: 0.0882	LR: 0.000800
Training Epoch: 40 [8704/46200]	Loss: 0.1073	LR: 0.000800
Training Epoch: 40 [8960/46200]	Loss: 0.0880	LR: 0.000800
Training Epoch: 40 [9216/46200]	Loss: 0.0975	LR: 0.000800
Training Epoch: 40 [9472/46200]	Loss: 0.1031	LR: 0.000800
Training Epoch: 40 [9728/46200]	Loss: 0.0870	LR: 0.000800
Training Epoch: 40 [9984/46200]	Loss: 0.1179	LR: 0.000800
Training Epoch: 40 [10240/46200]	Loss: 0.0988	LR: 0.000800
Training Epoch: 40 [10496/46200]	Loss: 0.0965	LR: 0.000800
Training Epoch: 40 [10752/46200]	Loss: 0.0767	LR: 0.000800
Training Epoch: 40 [11008/46200]	Loss: 0.0762	LR: 0.000800
Training Epoch: 40 [11264/46200]	Loss: 0.1006	LR: 0.000800
Training Epoch: 40 [11520/46200]	Loss: 0.0940	LR: 0.000800
Training Epoch: 40 [11776/46200]	Loss: 0.1120	LR: 0.000800
Training Epoch: 40 [12032/46200]	Loss: 0.0822	LR: 0.000800
Training Epoch: 40 [12288/46200]	Loss: 0.1192	LR: 0.000800
Training Epoch: 40 [12544/46200]	Loss: 0.1041	LR: 0.000800
Training Epoch: 40 [12800/46200]	Loss: 0.1144	LR: 0.000800
Training Epoch: 40 [13056/46200]	Loss: 0.1340	LR: 0.000800
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Training Epoch: 40 [43008/46200]	Loss: 0.1013	LR: 0.000800
Training Epoch: 40 [43264/46200]	Loss: 0.0847	LR: 0.000800
Training Epoch: 40 [43520/46200]	Loss: 0.0787	LR: 0.000800
Training Epoch: 40 [43776/46200]	Loss: 0.1136	LR: 0.000800
Training Epoch: 40 [44032/46200]	Loss: 0.0744	LR: 0.000800
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Training Epoch: 40 [44544/46200]	Loss: 0.1054	LR: 0.000800
Training Epoch: 40 [44800/46200]	Loss: 0.1216	LR: 0.000800
Training Epoch: 40 [45056/46200]	Loss: 0.0817	LR: 0.000800
Training Epoch: 40 [45312/46200]	Loss: 0.1167	LR: 0.000800
Training Epoch: 40 [45568/46200]	Loss: 0.1138	LR: 0.000800
Training Epoch: 40 [45824/46200]	Loss: 0.0997	LR: 0.000800
Training Epoch: 40 [46080/46200]	Loss: 0.1504	LR: 0.000800
Training Epoch: 40 [46200/46200]	Loss: 0.1275	LR: 0.000800
Epoch 40 - Average Train Loss: 0.1027, Train Accuracy: 0.9716
Epoch 40 training time consumed: 27.60s
Evaluating Network.....
Test set: Epoch: 40, Average loss: 0.0029, Accuracy: 0.8089, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_02h_20m_53s/ResNet18-Cifar20-seed5-ret25-40-best.pth
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: 97.54991912841797
Zero-Retain Forget (ZRF): 0.8989737629890442
Membership Inference Attack (MIA): 0.6147368421052631
Forget vs Retain Membership Inference Attack (MIA): 0.5986842105263158
Forget vs Test Membership Inference Attack (MIA): 0.4986842105263158
Test vs Retain Membership Inference Attack (MIA): 0.56
Train vs Test Membership Inference Attack (MIA): 0.60675
Forget Set Accuracy (Df): 78.76061248779297
Method Execution Time: 2086.87 seconds
