
📌 S 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

📌 S 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: 3.0080	LR: 0.000000
Training Epoch: 1 [512/46200]	Loss: 3.0426	LR: 0.000552
Training Epoch: 1 [768/46200]	Loss: 3.0116	LR: 0.001105
Training Epoch: 1 [1024/46200]	Loss: 3.0082	LR: 0.001657
Training Epoch: 1 [1280/46200]	Loss: 3.0281	LR: 0.002210
Training Epoch: 1 [1536/46200]	Loss: 3.0032	LR: 0.002762
Training Epoch: 1 [1792/46200]	Loss: 2.9806	LR: 0.003315
Training Epoch: 1 [2048/46200]	Loss: 2.9861	LR: 0.003867
Training Epoch: 1 [2304/46200]	Loss: 2.9335	LR: 0.004420
Training Epoch: 1 [2560/46200]	Loss: 2.9697	LR: 0.004972
Training Epoch: 1 [2816/46200]	Loss: 2.9365	LR: 0.005525
Training Epoch: 1 [3072/46200]	Loss: 2.9125	LR: 0.006077
Training Epoch: 1 [3328/46200]	Loss: 2.9265	LR: 0.006630
Training Epoch: 1 [3584/46200]	Loss: 2.9198	LR: 0.007182
Training Epoch: 1 [3840/46200]	Loss: 2.8559	LR: 0.007735
Training Epoch: 1 [4096/46200]	Loss: 2.8834	LR: 0.008287
Training Epoch: 1 [4352/46200]	Loss: 2.8749	LR: 0.008840
Training Epoch: 1 [4608/46200]	Loss: 2.8554	LR: 0.009392
Training Epoch: 1 [4864/46200]	Loss: 2.8183	LR: 0.009945
Training Epoch: 1 [5120/46200]	Loss: 2.8567	LR: 0.010497
Training Epoch: 1 [5376/46200]	Loss: 2.7845	LR: 0.011050
Training Epoch: 1 [5632/46200]	Loss: 2.7977	LR: 0.011602
Training Epoch: 1 [5888/46200]	Loss: 2.7820	LR: 0.012155
Training Epoch: 1 [6144/46200]	Loss: 2.8347	LR: 0.012707
Training Epoch: 1 [6400/46200]	Loss: 2.7919	LR: 0.013260
Training Epoch: 1 [6656/46200]	Loss: 2.7251	LR: 0.013812
Training Epoch: 1 [6912/46200]	Loss: 2.7341	LR: 0.014365
Training Epoch: 1 [7168/46200]	Loss: 2.7187	LR: 0.014917
Training Epoch: 1 [7424/46200]	Loss: 2.7353	LR: 0.015470
Training Epoch: 1 [7680/46200]	Loss: 2.7943	LR: 0.016022
Training Epoch: 1 [7936/46200]	Loss: 2.6012	LR: 0.016575
Training Epoch: 1 [8192/46200]	Loss: 2.7447	LR: 0.017127
Training Epoch: 1 [8448/46200]	Loss: 2.6559	LR: 0.017680
Training Epoch: 1 [8704/46200]	Loss: 2.7491	LR: 0.018232
Training Epoch: 1 [8960/46200]	Loss: 2.7030	LR: 0.018785
Training Epoch: 1 [9216/46200]	Loss: 2.6369	LR: 0.019337
Training Epoch: 1 [9472/46200]	Loss: 2.6352	LR: 0.019890
Training Epoch: 1 [9728/46200]	Loss: 2.7131	LR: 0.020442
Training Epoch: 1 [9984/46200]	Loss: 2.6371	LR: 0.020994
Training Epoch: 1 [10240/46200]	Loss: 2.6854	LR: 0.021547
Training Epoch: 1 [10496/46200]	Loss: 2.6092	LR: 0.022099
Training Epoch: 1 [10752/46200]	Loss: 2.5759	LR: 0.022652
Training Epoch: 1 [11008/46200]	Loss: 2.6924	LR: 0.023204
Training Epoch: 1 [11264/46200]	Loss: 2.6043	LR: 0.023757
Training Epoch: 1 [11520/46200]	Loss: 2.5211	LR: 0.024309
Training Epoch: 1 [11776/46200]	Loss: 2.6217	LR: 0.024862
Training Epoch: 1 [12032/46200]	Loss: 2.6466	LR: 0.025414
Training Epoch: 1 [12288/46200]	Loss: 2.5462	LR: 0.025967
Training Epoch: 1 [12544/46200]	Loss: 2.6378	LR: 0.026519
Training Epoch: 1 [12800/46200]	Loss: 2.5399	LR: 0.027072
Training Epoch: 1 [13056/46200]	Loss: 2.5338	LR: 0.027624
Training Epoch: 1 [13312/46200]	Loss: 2.4707	LR: 0.028177
Training Epoch: 1 [13568/46200]	Loss: 2.4967	LR: 0.028729
Training Epoch: 1 [13824/46200]	Loss: 2.3959	LR: 0.029282
Training Epoch: 1 [14080/46200]	Loss: 2.5836	LR: 0.029834
Training Epoch: 1 [14336/46200]	Loss: 2.5679	LR: 0.030387
Training Epoch: 1 [14592/46200]	Loss: 2.4355	LR: 0.030939
Training Epoch: 1 [14848/46200]	Loss: 2.5430	LR: 0.031492
Training Epoch: 1 [15104/46200]	Loss: 2.4853	LR: 0.032044
Training Epoch: 1 [15360/46200]	Loss: 2.5083	LR: 0.032597
Training Epoch: 1 [15616/46200]	Loss: 2.5041	LR: 0.033149
Training Epoch: 1 [15872/46200]	Loss: 2.5966	LR: 0.033702
Training Epoch: 1 [16128/46200]	Loss: 2.4787	LR: 0.034254
Training Epoch: 1 [16384/46200]	Loss: 2.5226	LR: 0.034807
Training Epoch: 1 [16640/46200]	Loss: 2.4687	LR: 0.035359
Training Epoch: 1 [16896/46200]	Loss: 2.4778	LR: 0.035912
Training Epoch: 1 [17152/46200]	Loss: 2.4510	LR: 0.036464
Training Epoch: 1 [17408/46200]	Loss: 2.4868	LR: 0.037017
Training Epoch: 1 [17664/46200]	Loss: 2.4726	LR: 0.037569
Training Epoch: 1 [17920/46200]	Loss: 2.4574	LR: 0.038122
Training Epoch: 1 [18176/46200]	Loss: 2.4731	LR: 0.038674
Training Epoch: 1 [18432/46200]	Loss: 2.5028	LR: 0.039227
Training Epoch: 1 [18688/46200]	Loss: 2.5424	LR: 0.039779
Training Epoch: 1 [18944/46200]	Loss: 2.3239	LR: 0.040331
Training Epoch: 1 [19200/46200]	Loss: 2.5292	LR: 0.040884
Training Epoch: 1 [19456/46200]	Loss: 2.4856	LR: 0.041436
Training Epoch: 1 [19712/46200]	Loss: 2.5065	LR: 0.041989
Training Epoch: 1 [19968/46200]	Loss: 2.4813	LR: 0.042541
Training Epoch: 1 [20224/46200]	Loss: 2.4673	LR: 0.043094
Training Epoch: 1 [20480/46200]	Loss: 2.5459	LR: 0.043646
Training Epoch: 1 [20736/46200]	Loss: 2.5501	LR: 0.044199
Training Epoch: 1 [20992/46200]	Loss: 2.5014	LR: 0.044751
Training Epoch: 1 [21248/46200]	Loss: 2.5854	LR: 0.045304
Training Epoch: 1 [21504/46200]	Loss: 2.4596	LR: 0.045856
Training Epoch: 1 [21760/46200]	Loss: 2.4750	LR: 0.046409
Training Epoch: 1 [22016/46200]	Loss: 2.4360	LR: 0.046961
Training Epoch: 1 [22272/46200]	Loss: 2.5203	LR: 0.047514
Training Epoch: 1 [22528/46200]	Loss: 2.4779	LR: 0.048066
Training Epoch: 1 [22784/46200]	Loss: 2.5051	LR: 0.048619
Training Epoch: 1 [23040/46200]	Loss: 2.4676	LR: 0.049171
Training Epoch: 1 [23296/46200]	Loss: 2.4145	LR: 0.049724
Training Epoch: 1 [23552/46200]	Loss: 2.5170	LR: 0.050276
Training Epoch: 1 [23808/46200]	Loss: 2.4634	LR: 0.050829
Training Epoch: 1 [24064/46200]	Loss: 2.5478	LR: 0.051381
Training Epoch: 1 [24320/46200]	Loss: 2.3162	LR: 0.051934
Training Epoch: 1 [24576/46200]	Loss: 2.4975	LR: 0.052486
Training Epoch: 1 [24832/46200]	Loss: 2.3999	LR: 0.053039
Training Epoch: 1 [25088/46200]	Loss: 2.4818	LR: 0.053591
Training Epoch: 1 [25344/46200]	Loss: 2.5165	LR: 0.054144
Training Epoch: 1 [25600/46200]	Loss: 2.3230	LR: 0.054696
Training Epoch: 1 [25856/46200]	Loss: 2.3849	LR: 0.055249
Training Epoch: 1 [26112/46200]	Loss: 2.4967	LR: 0.055801
Training Epoch: 1 [26368/46200]	Loss: 2.3277	LR: 0.056354
Training Epoch: 1 [26624/46200]	Loss: 2.4092	LR: 0.056906
Training Epoch: 1 [26880/46200]	Loss: 2.5185	LR: 0.057459
Training Epoch: 1 [27136/46200]	Loss: 2.4560	LR: 0.058011
Training Epoch: 1 [27392/46200]	Loss: 2.3922	LR: 0.058564
Training Epoch: 1 [27648/46200]	Loss: 2.3428	LR: 0.059116
Training Epoch: 1 [27904/46200]	Loss: 2.3644	LR: 0.059669
Training Epoch: 1 [28160/46200]	Loss: 2.5306	LR: 0.060221
Training Epoch: 1 [28416/46200]	Loss: 2.4985	LR: 0.060773
Training Epoch: 1 [28672/46200]	Loss: 2.4771	LR: 0.061326
Training Epoch: 1 [28928/46200]	Loss: 2.3951	LR: 0.061878
Training Epoch: 1 [29184/46200]	Loss: 2.3481	LR: 0.062431
Training Epoch: 1 [29440/46200]	Loss: 2.3767	LR: 0.062983
Training Epoch: 1 [29696/46200]	Loss: 2.4707	LR: 0.063536
Training Epoch: 1 [29952/46200]	Loss: 2.4031	LR: 0.064088
Training Epoch: 1 [30208/46200]	Loss: 2.4652	LR: 0.064641
Training Epoch: 1 [30464/46200]	Loss: 2.3465	LR: 0.065193
Training Epoch: 1 [30720/46200]	Loss: 2.5148	LR: 0.065746
Training Epoch: 1 [30976/46200]	Loss: 2.3622	LR: 0.066298
Training Epoch: 1 [31232/46200]	Loss: 2.4094	LR: 0.066851
Training Epoch: 1 [31488/46200]	Loss: 2.3787	LR: 0.067403
Training Epoch: 1 [31744/46200]	Loss: 2.3982	LR: 0.067956
Training Epoch: 1 [32000/46200]	Loss: 2.3550	LR: 0.068508
Training Epoch: 1 [32256/46200]	Loss: 2.1522	LR: 0.069061
Training Epoch: 1 [32512/46200]	Loss: 2.3809	LR: 0.069613
Training Epoch: 1 [32768/46200]	Loss: 2.2359	LR: 0.070166
Training Epoch: 1 [33024/46200]	Loss: 2.3584	LR: 0.070718
Training Epoch: 1 [33280/46200]	Loss: 2.4249	LR: 0.071271
Training Epoch: 1 [33536/46200]	Loss: 2.4602	LR: 0.071823
Training Epoch: 1 [33792/46200]	Loss: 2.3740	LR: 0.072376
Training Epoch: 1 [34048/46200]	Loss: 2.4918	LR: 0.072928
Training Epoch: 1 [34304/46200]	Loss: 2.3651	LR: 0.073481
Training Epoch: 1 [34560/46200]	Loss: 2.4875	LR: 0.074033
Training Epoch: 1 [34816/46200]	Loss: 2.4199	LR: 0.074586
Training Epoch: 1 [35072/46200]	Loss: 2.4521	LR: 0.075138
Training Epoch: 1 [35328/46200]	Loss: 2.3452	LR: 0.075691
Training Epoch: 1 [35584/46200]	Loss: 2.3414	LR: 0.076243
Training Epoch: 1 [35840/46200]	Loss: 2.4465	LR: 0.076796
Training Epoch: 1 [36096/46200]	Loss: 2.4026	LR: 0.077348
Training Epoch: 1 [36352/46200]	Loss: 2.3412	LR: 0.077901
Training Epoch: 1 [36608/46200]	Loss: 2.3934	LR: 0.078453
Training Epoch: 1 [36864/46200]	Loss: 2.3218	LR: 0.079006
Training Epoch: 1 [37120/46200]	Loss: 2.2991	LR: 0.079558
Training Epoch: 1 [37376/46200]	Loss: 2.5278	LR: 0.080110
Training Epoch: 1 [37632/46200]	Loss: 2.4120	LR: 0.080663
Training Epoch: 1 [37888/46200]	Loss: 2.3850	LR: 0.081215
Training Epoch: 1 [38144/46200]	Loss: 2.4411	LR: 0.081768
Training Epoch: 1 [38400/46200]	Loss: 2.3749	LR: 0.082320
Training Epoch: 1 [38656/46200]	Loss: 2.3455	LR: 0.082873
Training Epoch: 1 [38912/46200]	Loss: 2.4135	LR: 0.083425
Training Epoch: 1 [39168/46200]	Loss: 2.4484	LR: 0.083978
Training Epoch: 1 [39424/46200]	Loss: 2.3032	LR: 0.084530
Training Epoch: 1 [39680/46200]	Loss: 2.4542	LR: 0.085083
Training Epoch: 1 [39936/46200]	Loss: 2.2631	LR: 0.085635
Training Epoch: 1 [40192/46200]	Loss: 2.5668	LR: 0.086188
Training Epoch: 1 [40448/46200]	Loss: 2.2975	LR: 0.086740
Training Epoch: 1 [40704/46200]	Loss: 2.3424	LR: 0.087293
Training Epoch: 1 [40960/46200]	Loss: 2.2343	LR: 0.087845
Training Epoch: 1 [41216/46200]	Loss: 2.3830	LR: 0.088398
Training Epoch: 1 [41472/46200]	Loss: 2.4217	LR: 0.088950
Training Epoch: 1 [41728/46200]	Loss: 2.3535	LR: 0.089503
Training Epoch: 1 [41984/46200]	Loss: 2.3155	LR: 0.090055
Training Epoch: 1 [42240/46200]	Loss: 2.3100	LR: 0.090608
Training Epoch: 1 [42496/46200]	Loss: 2.3135	LR: 0.091160
Training Epoch: 1 [42752/46200]	Loss: 2.3686	LR: 0.091713
Training Epoch: 1 [43008/46200]	Loss: 2.3229	LR: 0.092265
Training Epoch: 1 [43264/46200]	Loss: 2.3189	LR: 0.092818
Training Epoch: 1 [43520/46200]	Loss: 2.3245	LR: 0.093370
Training Epoch: 1 [43776/46200]	Loss: 2.3474	LR: 0.093923
Training Epoch: 1 [44032/46200]	Loss: 2.2662	LR: 0.094475
Training Epoch: 1 [44288/46200]	Loss: 2.4593	LR: 0.095028
Training Epoch: 1 [44544/46200]	Loss: 2.3634	LR: 0.095580
Training Epoch: 1 [44800/46200]	Loss: 2.3599	LR: 0.096133
Training Epoch: 1 [45056/46200]	Loss: 2.4397	LR: 0.096685
Training Epoch: 1 [45312/46200]	Loss: 2.3905	LR: 0.097238
Training Epoch: 1 [45568/46200]	Loss: 2.2963	LR: 0.097790
Training Epoch: 1 [45824/46200]	Loss: 2.3066	LR: 0.098343
Training Epoch: 1 [46080/46200]	Loss: 2.3337	LR: 0.098895
Training Epoch: 1 [46200/46200]	Loss: 2.4462	LR: 0.099448
Epoch 1 - Average Train Loss: 2.5234, Train Accuracy: 0.2174
Epoch 1 training time consumed: 25.78s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0106, Accuracy: 0.2339, Time consumed:1.01s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_10h_21m_47s/AllCNN-Cifar20-seed5-ret25-1-best.pth
Training Epoch: 2 [256/46200]	Loss: 2.3140	LR: 0.100000
Training Epoch: 2 [512/46200]	Loss: 2.3363	LR: 0.100000
Training Epoch: 2 [768/46200]	Loss: 2.1642	LR: 0.100000
Training Epoch: 2 [1024/46200]	Loss: 2.3680	LR: 0.100000
Training Epoch: 2 [1280/46200]	Loss: 2.3125	LR: 0.100000
Training Epoch: 2 [1536/46200]	Loss: 2.3460	LR: 0.100000
Training Epoch: 2 [1792/46200]	Loss: 2.3081	LR: 0.100000
Training Epoch: 2 [2048/46200]	Loss: 2.2736	LR: 0.100000
Training Epoch: 2 [2304/46200]	Loss: 2.2157	LR: 0.100000
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Epoch 2 - Average Train Loss: 2.1657, Train Accuracy: 0.3256
Epoch 2 training time consumed: 25.16s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0095, Accuracy: 0.2922, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_10h_21m_47s/AllCNN-Cifar20-seed5-ret25-2-best.pth
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Training Epoch: 3 [46200/46200]	Loss: 2.0514	LR: 0.100000
Epoch 3 - Average Train Loss: 1.9448, Train Accuracy: 0.3889
Epoch 3 training time consumed: 25.32s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0089, Accuracy: 0.3388, Time consumed:0.89s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_10h_21m_47s/AllCNN-Cifar20-seed5-ret25-3-best.pth
Training Epoch: 4 [256/46200]	Loss: 1.8492	LR: 0.100000
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Training Epoch: 4 [46200/46200]	Loss: 1.5982	LR: 0.100000
Epoch 4 - Average Train Loss: 1.7663, Train Accuracy: 0.4417
Epoch 4 training time consumed: 25.18s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0080, Accuracy: 0.4087, Time consumed:0.89s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_10h_21m_47s/AllCNN-Cifar20-seed5-ret25-4-best.pth
Training Epoch: 5 [256/46200]	Loss: 1.8046	LR: 0.100000
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Epoch 5 - Average Train Loss: 1.6272, Train Accuracy: 0.4830
Epoch 5 training time consumed: 25.28s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0068, Accuracy: 0.4753, Time consumed:0.87s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_10h_21m_47s/AllCNN-Cifar20-seed5-ret25-5-best.pth
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Training Epoch: 6 [46200/46200]	Loss: 1.7128	LR: 0.100000
Epoch 6 - Average Train Loss: 1.4877, Train Accuracy: 0.5288
Epoch 6 training time consumed: 25.50s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0069, Accuracy: 0.4870, Time consumed:0.88s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_10h_21m_47s/AllCNN-Cifar20-seed5-ret25-6-best.pth
Training Epoch: 7 [256/46200]	Loss: 1.5349	LR: 0.100000
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Training Epoch: 7 [46200/46200]	Loss: 1.4024	LR: 0.100000
Epoch 7 - Average Train Loss: 1.3849, Train Accuracy: 0.5599
Epoch 7 training time consumed: 25.22s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0058, Accuracy: 0.5469, Time consumed:0.96s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_10h_21m_47s/AllCNN-Cifar20-seed5-ret25-7-best.pth
Training Epoch: 8 [256/46200]	Loss: 1.2066	LR: 0.100000
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Training Epoch: 8 [46200/46200]	Loss: 1.1665	LR: 0.100000
Epoch 8 - Average Train Loss: 1.2895, Train Accuracy: 0.5881
Epoch 8 training time consumed: 25.32s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0065, Accuracy: 0.5211, Time consumed:0.93s
Training Epoch: 9 [256/46200]	Loss: 1.2009	LR: 0.100000
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Training Epoch: 9 [46200/46200]	Loss: 1.0106	LR: 0.100000
Epoch 9 - Average Train Loss: 1.2201, Train Accuracy: 0.6102
Epoch 9 training time consumed: 25.24s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0056, Accuracy: 0.5600, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_10h_21m_47s/AllCNN-Cifar20-seed5-ret25-9-best.pth
Training Epoch: 10 [256/46200]	Loss: 1.1068	LR: 0.100000
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Epoch 10 - Average Train Loss: 1.1646, Train Accuracy: 0.6277
Epoch 10 training time consumed: 25.21s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0052, Accuracy: 0.5918, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_10h_21m_47s/AllCNN-Cifar20-seed5-ret25-10-best.pth
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Training Epoch: 11 [46200/46200]	Loss: 1.0588	LR: 0.100000
Epoch 11 - Average Train Loss: 1.1162, Train Accuracy: 0.6409
Epoch 11 training time consumed: 25.23s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0047, Accuracy: 0.6336, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_10h_21m_47s/AllCNN-Cifar20-seed5-ret25-11-best.pth
Training Epoch: 12 [256/46200]	Loss: 1.0925	LR: 0.100000
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Training Epoch: 12 [46200/46200]	Loss: 1.1385	LR: 0.100000
Epoch 12 - Average Train Loss: 1.0898, Train Accuracy: 0.6511
Epoch 12 training time consumed: 25.29s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0060, Accuracy: 0.5675, Time consumed:0.89s
Training Epoch: 13 [256/46200]	Loss: 1.0378	LR: 0.100000
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Training Epoch: 13 [20224/46200]	Loss: 1.1101	LR: 0.100000
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Training Epoch: 13 [20736/46200]	Loss: 0.9276	LR: 0.100000
Training Epoch: 13 [20992/46200]	Loss: 0.9495	LR: 0.100000
Training Epoch: 13 [21248/46200]	Loss: 0.9783	LR: 0.100000
Training Epoch: 13 [21504/46200]	Loss: 1.1539	LR: 0.100000
Training Epoch: 13 [21760/46200]	Loss: 1.0078	LR: 0.100000
Training Epoch: 13 [22016/46200]	Loss: 0.8678	LR: 0.100000
Training Epoch: 13 [22272/46200]	Loss: 1.2062	LR: 0.100000
Training Epoch: 13 [22528/46200]	Loss: 1.0406	LR: 0.100000
Training Epoch: 13 [22784/46200]	Loss: 0.9764	LR: 0.100000
Training Epoch: 13 [23040/46200]	Loss: 1.0648	LR: 0.100000
Training Epoch: 13 [23296/46200]	Loss: 1.1366	LR: 0.100000
Training Epoch: 13 [23552/46200]	Loss: 1.0949	LR: 0.100000
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Training Epoch: 13 [27392/46200]	Loss: 0.9971	LR: 0.100000
Training Epoch: 13 [27648/46200]	Loss: 1.0503	LR: 0.100000
Training Epoch: 13 [27904/46200]	Loss: 1.0636	LR: 0.100000
Training Epoch: 13 [28160/46200]	Loss: 1.1692	LR: 0.100000
Training Epoch: 13 [28416/46200]	Loss: 1.0736	LR: 0.100000
Training Epoch: 13 [28672/46200]	Loss: 1.0312	LR: 0.100000
Training Epoch: 13 [28928/46200]	Loss: 1.0049	LR: 0.100000
Training Epoch: 13 [29184/46200]	Loss: 1.1107	LR: 0.100000
Training Epoch: 13 [29440/46200]	Loss: 1.1096	LR: 0.100000
Training Epoch: 13 [29696/46200]	Loss: 1.0436	LR: 0.100000
Training Epoch: 13 [29952/46200]	Loss: 0.9406	LR: 0.100000
Training Epoch: 13 [30208/46200]	Loss: 1.1577	LR: 0.100000
Training Epoch: 13 [30464/46200]	Loss: 1.0251	LR: 0.100000
Training Epoch: 13 [30720/46200]	Loss: 0.9627	LR: 0.100000
Training Epoch: 13 [30976/46200]	Loss: 1.0654	LR: 0.100000
Training Epoch: 13 [31232/46200]	Loss: 1.1865	LR: 0.100000
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Training Epoch: 13 [34048/46200]	Loss: 0.9897	LR: 0.100000
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Training Epoch: 13 [35328/46200]	Loss: 1.1139	LR: 0.100000
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Training Epoch: 13 [36864/46200]	Loss: 1.1865	LR: 0.100000
Training Epoch: 13 [37120/46200]	Loss: 1.0963	LR: 0.100000
Training Epoch: 13 [37376/46200]	Loss: 1.1256	LR: 0.100000
Training Epoch: 13 [37632/46200]	Loss: 0.9444	LR: 0.100000
Training Epoch: 13 [37888/46200]	Loss: 1.0135	LR: 0.100000
Training Epoch: 13 [38144/46200]	Loss: 1.1169	LR: 0.100000
Training Epoch: 13 [38400/46200]	Loss: 1.1277	LR: 0.100000
Training Epoch: 13 [38656/46200]	Loss: 1.0979	LR: 0.100000
Training Epoch: 13 [38912/46200]	Loss: 0.9756	LR: 0.100000
Training Epoch: 13 [39168/46200]	Loss: 1.0971	LR: 0.100000
Training Epoch: 13 [39424/46200]	Loss: 1.0609	LR: 0.100000
Training Epoch: 13 [39680/46200]	Loss: 1.0750	LR: 0.100000
Training Epoch: 13 [39936/46200]	Loss: 1.0467	LR: 0.100000
Training Epoch: 13 [40192/46200]	Loss: 1.0172	LR: 0.100000
Training Epoch: 13 [40448/46200]	Loss: 1.0284	LR: 0.100000
Training Epoch: 13 [40704/46200]	Loss: 0.9145	LR: 0.100000
Training Epoch: 13 [40960/46200]	Loss: 1.0564	LR: 0.100000
Training Epoch: 13 [41216/46200]	Loss: 1.1047	LR: 0.100000
Training Epoch: 13 [41472/46200]	Loss: 1.0510	LR: 0.100000
Training Epoch: 13 [41728/46200]	Loss: 0.9945	LR: 0.100000
Training Epoch: 13 [41984/46200]	Loss: 0.8986	LR: 0.100000
Training Epoch: 13 [42240/46200]	Loss: 1.0349	LR: 0.100000
Training Epoch: 13 [42496/46200]	Loss: 0.8987	LR: 0.100000
Training Epoch: 13 [42752/46200]	Loss: 1.2023	LR: 0.100000
Training Epoch: 13 [43008/46200]	Loss: 1.0785	LR: 0.100000
Training Epoch: 13 [43264/46200]	Loss: 1.0432	LR: 0.100000
Training Epoch: 13 [43520/46200]	Loss: 1.1025	LR: 0.100000
Training Epoch: 13 [43776/46200]	Loss: 1.0897	LR: 0.100000
Training Epoch: 13 [44032/46200]	Loss: 1.0838	LR: 0.100000
Training Epoch: 13 [44288/46200]	Loss: 0.9036	LR: 0.100000
Training Epoch: 13 [44544/46200]	Loss: 1.0537	LR: 0.100000
Training Epoch: 13 [44800/46200]	Loss: 1.0277	LR: 0.100000
Training Epoch: 13 [45056/46200]	Loss: 1.0108	LR: 0.100000
Training Epoch: 13 [45312/46200]	Loss: 1.0169	LR: 0.100000
Training Epoch: 13 [45568/46200]	Loss: 1.0870	LR: 0.100000
Training Epoch: 13 [45824/46200]	Loss: 1.0278	LR: 0.100000
Training Epoch: 13 [46080/46200]	Loss: 0.9813	LR: 0.100000
Training Epoch: 13 [46200/46200]	Loss: 0.9724	LR: 0.100000
Epoch 13 - Average Train Loss: 1.0495, Train Accuracy: 0.6645
Epoch 13 training time consumed: 25.43s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0047, Accuracy: 0.6294, Time consumed:0.90s
Training Epoch: 14 [256/46200]	Loss: 0.9973	LR: 0.100000
Training Epoch: 14 [512/46200]	Loss: 0.9718	LR: 0.100000
Training Epoch: 14 [768/46200]	Loss: 1.1211	LR: 0.100000
Training Epoch: 14 [1024/46200]	Loss: 0.9908	LR: 0.100000
Training Epoch: 14 [1280/46200]	Loss: 0.9344	LR: 0.100000
Training Epoch: 14 [1536/46200]	Loss: 0.9475	LR: 0.100000
Training Epoch: 14 [1792/46200]	Loss: 1.0333	LR: 0.100000
Training Epoch: 14 [2048/46200]	Loss: 1.0570	LR: 0.100000
Training Epoch: 14 [2304/46200]	Loss: 1.0029	LR: 0.100000
Training Epoch: 14 [2560/46200]	Loss: 0.9845	LR: 0.100000
Training Epoch: 14 [2816/46200]	Loss: 1.0636	LR: 0.100000
Training Epoch: 14 [3072/46200]	Loss: 0.9870	LR: 0.100000
Training Epoch: 14 [3328/46200]	Loss: 1.2339	LR: 0.100000
Training Epoch: 14 [3584/46200]	Loss: 1.0554	LR: 0.100000
Training Epoch: 14 [3840/46200]	Loss: 1.0005	LR: 0.100000
Training Epoch: 14 [4096/46200]	Loss: 0.8880	LR: 0.100000
Training Epoch: 14 [4352/46200]	Loss: 1.0663	LR: 0.100000
Training Epoch: 14 [4608/46200]	Loss: 1.0575	LR: 0.100000
Training Epoch: 14 [4864/46200]	Loss: 1.1916	LR: 0.100000
Training Epoch: 14 [5120/46200]	Loss: 1.0560	LR: 0.100000
Training Epoch: 14 [5376/46200]	Loss: 0.8979	LR: 0.100000
Training Epoch: 14 [5632/46200]	Loss: 0.9049	LR: 0.100000
Training Epoch: 14 [5888/46200]	Loss: 0.9775	LR: 0.100000
Training Epoch: 14 [6144/46200]	Loss: 1.1593	LR: 0.100000
Training Epoch: 14 [6400/46200]	Loss: 0.9863	LR: 0.100000
Training Epoch: 14 [6656/46200]	Loss: 0.9840	LR: 0.100000
Training Epoch: 14 [6912/46200]	Loss: 1.1048	LR: 0.100000
Training Epoch: 14 [7168/46200]	Loss: 0.9198	LR: 0.100000
Training Epoch: 14 [7424/46200]	Loss: 1.0332	LR: 0.100000
Training Epoch: 14 [7680/46200]	Loss: 0.9979	LR: 0.100000
Training Epoch: 14 [7936/46200]	Loss: 1.0453	LR: 0.100000
Training Epoch: 14 [8192/46200]	Loss: 1.0286	LR: 0.100000
Training Epoch: 14 [8448/46200]	Loss: 0.8935	LR: 0.100000
Training Epoch: 14 [8704/46200]	Loss: 0.8964	LR: 0.100000
Training Epoch: 14 [8960/46200]	Loss: 1.0560	LR: 0.100000
Training Epoch: 14 [9216/46200]	Loss: 0.9297	LR: 0.100000
Training Epoch: 14 [9472/46200]	Loss: 1.0465	LR: 0.100000
Training Epoch: 14 [9728/46200]	Loss: 0.9607	LR: 0.100000
Training Epoch: 14 [9984/46200]	Loss: 0.9206	LR: 0.100000
Training Epoch: 14 [10240/46200]	Loss: 0.9810	LR: 0.100000
Training Epoch: 14 [10496/46200]	Loss: 1.0585	LR: 0.100000
Training Epoch: 14 [10752/46200]	Loss: 0.9777	LR: 0.100000
Training Epoch: 14 [11008/46200]	Loss: 1.0333	LR: 0.100000
Training Epoch: 14 [11264/46200]	Loss: 0.9318	LR: 0.100000
Training Epoch: 14 [11520/46200]	Loss: 1.1581	LR: 0.100000
Training Epoch: 14 [11776/46200]	Loss: 1.0129	LR: 0.100000
Training Epoch: 14 [12032/46200]	Loss: 0.8895	LR: 0.100000
Training Epoch: 14 [12288/46200]	Loss: 0.9680	LR: 0.100000
Training Epoch: 14 [12544/46200]	Loss: 0.9297	LR: 0.100000
Training Epoch: 14 [12800/46200]	Loss: 0.9513	LR: 0.100000
Training Epoch: 14 [13056/46200]	Loss: 0.9621	LR: 0.100000
Training Epoch: 14 [13312/46200]	Loss: 1.0848	LR: 0.100000
Training Epoch: 14 [13568/46200]	Loss: 1.0541	LR: 0.100000
Training Epoch: 14 [13824/46200]	Loss: 0.9519	LR: 0.100000
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Training Epoch: 14 [15616/46200]	Loss: 1.0453	LR: 0.100000
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Training Epoch: 14 [16128/46200]	Loss: 0.9612	LR: 0.100000
Training Epoch: 14 [16384/46200]	Loss: 0.8869	LR: 0.100000
Training Epoch: 14 [16640/46200]	Loss: 1.0881	LR: 0.100000
Training Epoch: 14 [16896/46200]	Loss: 0.9760	LR: 0.100000
Training Epoch: 14 [17152/46200]	Loss: 1.0969	LR: 0.100000
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Training Epoch: 14 [17664/46200]	Loss: 1.0826	LR: 0.100000
Training Epoch: 14 [17920/46200]	Loss: 1.0021	LR: 0.100000
Training Epoch: 14 [18176/46200]	Loss: 0.9584	LR: 0.100000
Training Epoch: 14 [18432/46200]	Loss: 1.0290	LR: 0.100000
Training Epoch: 14 [18688/46200]	Loss: 1.1932	LR: 0.100000
Training Epoch: 14 [18944/46200]	Loss: 1.0987	LR: 0.100000
Training Epoch: 14 [19200/46200]	Loss: 0.9269	LR: 0.100000
Training Epoch: 14 [19456/46200]	Loss: 0.9649	LR: 0.100000
Training Epoch: 14 [19712/46200]	Loss: 0.8819	LR: 0.100000
Training Epoch: 14 [19968/46200]	Loss: 0.9550	LR: 0.100000
Training Epoch: 14 [20224/46200]	Loss: 0.9826	LR: 0.100000
Training Epoch: 14 [20480/46200]	Loss: 0.9716	LR: 0.100000
Training Epoch: 14 [20736/46200]	Loss: 1.1350	LR: 0.100000
Training Epoch: 14 [20992/46200]	Loss: 1.0188	LR: 0.100000
Training Epoch: 14 [21248/46200]	Loss: 1.0587	LR: 0.100000
Training Epoch: 14 [21504/46200]	Loss: 1.0202	LR: 0.100000
Training Epoch: 14 [21760/46200]	Loss: 0.8575	LR: 0.100000
Training Epoch: 14 [22016/46200]	Loss: 1.0730	LR: 0.100000
Training Epoch: 14 [22272/46200]	Loss: 0.8925	LR: 0.100000
Training Epoch: 14 [22528/46200]	Loss: 1.0277	LR: 0.100000
Training Epoch: 14 [22784/46200]	Loss: 0.9930	LR: 0.100000
Training Epoch: 14 [23040/46200]	Loss: 1.0573	LR: 0.100000
Training Epoch: 14 [23296/46200]	Loss: 1.1025	LR: 0.100000
Training Epoch: 14 [23552/46200]	Loss: 0.9464	LR: 0.100000
Training Epoch: 14 [23808/46200]	Loss: 0.9904	LR: 0.100000
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Training Epoch: 14 [24320/46200]	Loss: 0.9069	LR: 0.100000
Training Epoch: 14 [24576/46200]	Loss: 0.9763	LR: 0.100000
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Training Epoch: 14 [25856/46200]	Loss: 0.9896	LR: 0.100000
Training Epoch: 14 [26112/46200]	Loss: 0.9940	LR: 0.100000
Training Epoch: 14 [26368/46200]	Loss: 1.0746	LR: 0.100000
Training Epoch: 14 [26624/46200]	Loss: 1.0673	LR: 0.100000
Training Epoch: 14 [26880/46200]	Loss: 1.1027	LR: 0.100000
Training Epoch: 14 [27136/46200]	Loss: 1.0426	LR: 0.100000
Training Epoch: 14 [27392/46200]	Loss: 1.0268	LR: 0.100000
Training Epoch: 14 [27648/46200]	Loss: 0.9440	LR: 0.100000
Training Epoch: 14 [27904/46200]	Loss: 1.0330	LR: 0.100000
Training Epoch: 14 [28160/46200]	Loss: 1.0695	LR: 0.100000
Training Epoch: 14 [28416/46200]	Loss: 1.1422	LR: 0.100000
Training Epoch: 14 [28672/46200]	Loss: 1.0014	LR: 0.100000
Training Epoch: 14 [28928/46200]	Loss: 1.1640	LR: 0.100000
Training Epoch: 14 [29184/46200]	Loss: 1.0676	LR: 0.100000
Training Epoch: 14 [29440/46200]	Loss: 0.9361	LR: 0.100000
Training Epoch: 14 [29696/46200]	Loss: 1.0054	LR: 0.100000
Training Epoch: 14 [29952/46200]	Loss: 1.0732	LR: 0.100000
Training Epoch: 14 [30208/46200]	Loss: 0.9387	LR: 0.100000
Training Epoch: 14 [30464/46200]	Loss: 1.0637	LR: 0.100000
Training Epoch: 14 [30720/46200]	Loss: 1.0393	LR: 0.100000
Training Epoch: 14 [30976/46200]	Loss: 1.0111	LR: 0.100000
Training Epoch: 14 [31232/46200]	Loss: 1.0210	LR: 0.100000
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Training Epoch: 14 [32256/46200]	Loss: 1.1329	LR: 0.100000
Training Epoch: 14 [32512/46200]	Loss: 1.0535	LR: 0.100000
Training Epoch: 14 [32768/46200]	Loss: 0.9976	LR: 0.100000
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Training Epoch: 14 [33280/46200]	Loss: 1.1077	LR: 0.100000
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Training Epoch: 14 [34304/46200]	Loss: 1.0289	LR: 0.100000
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Training Epoch: 14 [35072/46200]	Loss: 1.2098	LR: 0.100000
Training Epoch: 14 [35328/46200]	Loss: 1.0095	LR: 0.100000
Training Epoch: 14 [35584/46200]	Loss: 0.9774	LR: 0.100000
Training Epoch: 14 [35840/46200]	Loss: 0.9892	LR: 0.100000
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Training Epoch: 14 [36352/46200]	Loss: 1.0499	LR: 0.100000
Training Epoch: 14 [36608/46200]	Loss: 1.0557	LR: 0.100000
Training Epoch: 14 [36864/46200]	Loss: 1.1013	LR: 0.100000
Training Epoch: 14 [37120/46200]	Loss: 1.0325	LR: 0.100000
Training Epoch: 14 [37376/46200]	Loss: 0.9775	LR: 0.100000
Training Epoch: 14 [37632/46200]	Loss: 0.9699	LR: 0.100000
Training Epoch: 14 [37888/46200]	Loss: 0.9416	LR: 0.100000
Training Epoch: 14 [38144/46200]	Loss: 0.9495	LR: 0.100000
Training Epoch: 14 [38400/46200]	Loss: 1.1710	LR: 0.100000
Training Epoch: 14 [38656/46200]	Loss: 1.1299	LR: 0.100000
Training Epoch: 14 [38912/46200]	Loss: 0.9957	LR: 0.100000
Training Epoch: 14 [39168/46200]	Loss: 1.1086	LR: 0.100000
Training Epoch: 14 [39424/46200]	Loss: 0.9283	LR: 0.100000
Training Epoch: 14 [39680/46200]	Loss: 1.0167	LR: 0.100000
Training Epoch: 14 [39936/46200]	Loss: 1.0248	LR: 0.100000
Training Epoch: 14 [40192/46200]	Loss: 0.8914	LR: 0.100000
Training Epoch: 14 [40448/46200]	Loss: 1.0644	LR: 0.100000
Training Epoch: 14 [40704/46200]	Loss: 1.0356	LR: 0.100000
Training Epoch: 14 [40960/46200]	Loss: 1.0095	LR: 0.100000
Training Epoch: 14 [41216/46200]	Loss: 1.0208	LR: 0.100000
Training Epoch: 14 [41472/46200]	Loss: 1.0529	LR: 0.100000
Training Epoch: 14 [41728/46200]	Loss: 0.9793	LR: 0.100000
Training Epoch: 14 [41984/46200]	Loss: 0.8843	LR: 0.100000
Training Epoch: 14 [42240/46200]	Loss: 0.9995	LR: 0.100000
Training Epoch: 14 [42496/46200]	Loss: 0.8701	LR: 0.100000
Training Epoch: 14 [42752/46200]	Loss: 1.0050	LR: 0.100000
Training Epoch: 14 [43008/46200]	Loss: 1.0313	LR: 0.100000
Training Epoch: 14 [43264/46200]	Loss: 0.9524	LR: 0.100000
Training Epoch: 14 [43520/46200]	Loss: 1.0702	LR: 0.100000
Training Epoch: 14 [43776/46200]	Loss: 1.0665	LR: 0.100000
Training Epoch: 14 [44032/46200]	Loss: 1.1020	LR: 0.100000
Training Epoch: 14 [44288/46200]	Loss: 1.1681	LR: 0.100000
Training Epoch: 14 [44544/46200]	Loss: 1.0024	LR: 0.100000
Training Epoch: 14 [44800/46200]	Loss: 1.0678	LR: 0.100000
Training Epoch: 14 [45056/46200]	Loss: 1.0903	LR: 0.100000
Training Epoch: 14 [45312/46200]	Loss: 0.9611	LR: 0.100000
Training Epoch: 14 [45568/46200]	Loss: 1.1048	LR: 0.100000
Training Epoch: 14 [45824/46200]	Loss: 1.0911	LR: 0.100000
Training Epoch: 14 [46080/46200]	Loss: 1.0078	LR: 0.100000
Training Epoch: 14 [46200/46200]	Loss: 1.0523	LR: 0.100000
Epoch 14 - Average Train Loss: 1.0170, Train Accuracy: 0.6726
Epoch 14 training time consumed: 25.23s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0061, Accuracy: 0.5595, Time consumed:0.87s
Training Epoch: 15 [256/46200]	Loss: 0.9299	LR: 0.020000
Training Epoch: 15 [512/46200]	Loss: 0.9627	LR: 0.020000
Training Epoch: 15 [768/46200]	Loss: 0.8807	LR: 0.020000
Training Epoch: 15 [1024/46200]	Loss: 0.9620	LR: 0.020000
Training Epoch: 15 [1280/46200]	Loss: 0.8851	LR: 0.020000
Training Epoch: 15 [1536/46200]	Loss: 0.9684	LR: 0.020000
Training Epoch: 15 [1792/46200]	Loss: 0.8811	LR: 0.020000
Training Epoch: 15 [2048/46200]	Loss: 0.9567	LR: 0.020000
Training Epoch: 15 [2304/46200]	Loss: 0.9793	LR: 0.020000
Training Epoch: 15 [2560/46200]	Loss: 1.0019	LR: 0.020000
Training Epoch: 15 [2816/46200]	Loss: 1.0222	LR: 0.020000
Training Epoch: 15 [3072/46200]	Loss: 0.8794	LR: 0.020000
Training Epoch: 15 [3328/46200]	Loss: 0.9000	LR: 0.020000
Training Epoch: 15 [3584/46200]	Loss: 0.7493	LR: 0.020000
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Training Epoch: 15 [46200/46200]	Loss: 0.8549	LR: 0.020000
Epoch 15 - Average Train Loss: 0.7821, Train Accuracy: 0.7509
Epoch 15 training time consumed: 25.22s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0034, Accuracy: 0.7230, Time consumed:0.86s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_10h_21m_47s/AllCNN-Cifar20-seed5-ret25-15-best.pth
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Training Epoch: 16 [46200/46200]	Loss: 0.7678	LR: 0.020000
Epoch 16 - Average Train Loss: 0.7156, Train Accuracy: 0.7724
Epoch 16 training time consumed: 25.25s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0034, Accuracy: 0.7335, Time consumed:0.96s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_10h_21m_47s/AllCNN-Cifar20-seed5-ret25-16-best.pth
Training Epoch: 17 [256/46200]	Loss: 0.6266	LR: 0.020000
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Training Epoch: 17 [46200/46200]	Loss: 0.6166	LR: 0.020000
Epoch 17 - Average Train Loss: 0.6840, Train Accuracy: 0.7796
Epoch 17 training time consumed: 25.27s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0034, Accuracy: 0.7354, Time consumed:0.98s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_10h_21m_47s/AllCNN-Cifar20-seed5-ret25-17-best.pth
Training Epoch: 18 [256/46200]	Loss: 0.5985	LR: 0.020000
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Training Epoch: 18 [46200/46200]	Loss: 0.5837	LR: 0.020000
Epoch 18 - Average Train Loss: 0.6603, Train Accuracy: 0.7871
Epoch 18 training time consumed: 25.22s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0034, Accuracy: 0.7386, Time consumed:0.85s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_10h_21m_47s/AllCNN-Cifar20-seed5-ret25-18-best.pth
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Training Epoch: 19 [36352/46200]	Loss: 0.6488	LR: 0.020000
Training Epoch: 19 [36608/46200]	Loss: 0.7341	LR: 0.020000
Training Epoch: 19 [36864/46200]	Loss: 0.6180	LR: 0.020000
Training Epoch: 19 [37120/46200]	Loss: 0.6553	LR: 0.020000
Training Epoch: 19 [37376/46200]	Loss: 0.8145	LR: 0.020000
Training Epoch: 19 [37632/46200]	Loss: 0.5631	LR: 0.020000
Training Epoch: 19 [37888/46200]	Loss: 0.6098	LR: 0.020000
Training Epoch: 19 [38144/46200]	Loss: 0.6511	LR: 0.020000
Training Epoch: 19 [38400/46200]	Loss: 0.7272	LR: 0.020000
Training Epoch: 19 [38656/46200]	Loss: 0.6299	LR: 0.020000
Training Epoch: 19 [38912/46200]	Loss: 0.6090	LR: 0.020000
Training Epoch: 19 [39168/46200]	Loss: 0.5908	LR: 0.020000
Training Epoch: 19 [39424/46200]	Loss: 0.6975	LR: 0.020000
Training Epoch: 19 [39680/46200]	Loss: 0.6170	LR: 0.020000
Training Epoch: 19 [39936/46200]	Loss: 0.6333	LR: 0.020000
Training Epoch: 19 [40192/46200]	Loss: 0.7022	LR: 0.020000
Training Epoch: 19 [40448/46200]	Loss: 0.6348	LR: 0.020000
Training Epoch: 19 [40704/46200]	Loss: 0.6018	LR: 0.020000
Training Epoch: 19 [40960/46200]	Loss: 0.6414	LR: 0.020000
Training Epoch: 19 [41216/46200]	Loss: 0.7164	LR: 0.020000
Training Epoch: 19 [41472/46200]	Loss: 0.6227	LR: 0.020000
Training Epoch: 19 [41728/46200]	Loss: 0.6246	LR: 0.020000
Training Epoch: 19 [41984/46200]	Loss: 0.6670	LR: 0.020000
Training Epoch: 19 [42240/46200]	Loss: 0.7571	LR: 0.020000
Training Epoch: 19 [42496/46200]	Loss: 0.7273	LR: 0.020000
Training Epoch: 19 [42752/46200]	Loss: 0.7917	LR: 0.020000
Training Epoch: 19 [43008/46200]	Loss: 0.6907	LR: 0.020000
Training Epoch: 19 [43264/46200]	Loss: 0.7195	LR: 0.020000
Training Epoch: 19 [43520/46200]	Loss: 0.6309	LR: 0.020000
Training Epoch: 19 [43776/46200]	Loss: 0.6213	LR: 0.020000
Training Epoch: 19 [44032/46200]	Loss: 0.8035	LR: 0.020000
Training Epoch: 19 [44288/46200]	Loss: 0.7150	LR: 0.020000
Training Epoch: 19 [44544/46200]	Loss: 0.5482	LR: 0.020000
Training Epoch: 19 [44800/46200]	Loss: 0.5663	LR: 0.020000
Training Epoch: 19 [45056/46200]	Loss: 0.7865	LR: 0.020000
Training Epoch: 19 [45312/46200]	Loss: 0.7735	LR: 0.020000
Training Epoch: 19 [45568/46200]	Loss: 0.6511	LR: 0.020000
Training Epoch: 19 [45824/46200]	Loss: 0.6274	LR: 0.020000
Training Epoch: 19 [46080/46200]	Loss: 0.6180	LR: 0.020000
Training Epoch: 19 [46200/46200]	Loss: 0.5691	LR: 0.020000
Epoch 19 - Average Train Loss: 0.6433, Train Accuracy: 0.7927
Epoch 19 training time consumed: 25.49s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0033, Accuracy: 0.7355, Time consumed:0.87s
Training Epoch: 20 [256/46200]	Loss: 0.6688	LR: 0.020000
Training Epoch: 20 [512/46200]	Loss: 0.5937	LR: 0.020000
Training Epoch: 20 [768/46200]	Loss: 0.5146	LR: 0.020000
Training Epoch: 20 [1024/46200]	Loss: 0.5763	LR: 0.020000
Training Epoch: 20 [1280/46200]	Loss: 0.6375	LR: 0.020000
Training Epoch: 20 [1536/46200]	Loss: 0.7783	LR: 0.020000
Training Epoch: 20 [1792/46200]	Loss: 0.6248	LR: 0.020000
Training Epoch: 20 [2048/46200]	Loss: 0.5689	LR: 0.020000
Training Epoch: 20 [2304/46200]	Loss: 0.6138	LR: 0.020000
Training Epoch: 20 [2560/46200]	Loss: 0.5855	LR: 0.020000
Training Epoch: 20 [2816/46200]	Loss: 0.6002	LR: 0.020000
Training Epoch: 20 [3072/46200]	Loss: 0.5998	LR: 0.020000
Training Epoch: 20 [3328/46200]	Loss: 0.6012	LR: 0.020000
Training Epoch: 20 [3584/46200]	Loss: 0.5755	LR: 0.020000
Training Epoch: 20 [3840/46200]	Loss: 0.7005	LR: 0.020000
Training Epoch: 20 [4096/46200]	Loss: 0.6309	LR: 0.020000
Training Epoch: 20 [4352/46200]	Loss: 0.5697	LR: 0.020000
Training Epoch: 20 [4608/46200]	Loss: 0.5902	LR: 0.020000
Training Epoch: 20 [4864/46200]	Loss: 0.6147	LR: 0.020000
Training Epoch: 20 [5120/46200]	Loss: 0.7267	LR: 0.020000
Training Epoch: 20 [5376/46200]	Loss: 0.6336	LR: 0.020000
Training Epoch: 20 [5632/46200]	Loss: 0.5653	LR: 0.020000
Training Epoch: 20 [5888/46200]	Loss: 0.5702	LR: 0.020000
Training Epoch: 20 [6144/46200]	Loss: 0.6224	LR: 0.020000
Training Epoch: 20 [6400/46200]	Loss: 0.5760	LR: 0.020000
Training Epoch: 20 [6656/46200]	Loss: 0.6075	LR: 0.020000
Training Epoch: 20 [6912/46200]	Loss: 0.6722	LR: 0.020000
Training Epoch: 20 [7168/46200]	Loss: 0.5776	LR: 0.020000
Training Epoch: 20 [7424/46200]	Loss: 0.7146	LR: 0.020000
Training Epoch: 20 [7680/46200]	Loss: 0.6951	LR: 0.020000
Training Epoch: 20 [7936/46200]	Loss: 0.5865	LR: 0.020000
Training Epoch: 20 [8192/46200]	Loss: 0.5036	LR: 0.020000
Training Epoch: 20 [8448/46200]	Loss: 0.6512	LR: 0.020000
Training Epoch: 20 [8704/46200]	Loss: 0.5090	LR: 0.020000
Training Epoch: 20 [8960/46200]	Loss: 0.5479	LR: 0.020000
Training Epoch: 20 [9216/46200]	Loss: 0.6081	LR: 0.020000
Training Epoch: 20 [9472/46200]	Loss: 0.5652	LR: 0.020000
Training Epoch: 20 [9728/46200]	Loss: 0.6044	LR: 0.020000
Training Epoch: 20 [9984/46200]	Loss: 0.6667	LR: 0.020000
Training Epoch: 20 [10240/46200]	Loss: 0.6165	LR: 0.020000
Training Epoch: 20 [10496/46200]	Loss: 0.5748	LR: 0.020000
Training Epoch: 20 [10752/46200]	Loss: 0.5353	LR: 0.020000
Training Epoch: 20 [11008/46200]	Loss: 0.6440	LR: 0.020000
Training Epoch: 20 [11264/46200]	Loss: 0.5935	LR: 0.020000
Training Epoch: 20 [11520/46200]	Loss: 0.5309	LR: 0.020000
Training Epoch: 20 [11776/46200]	Loss: 0.5720	LR: 0.020000
Training Epoch: 20 [12032/46200]	Loss: 0.6188	LR: 0.020000
Training Epoch: 20 [12288/46200]	Loss: 0.5824	LR: 0.020000
Training Epoch: 20 [12544/46200]	Loss: 0.6321	LR: 0.020000
Training Epoch: 20 [12800/46200]	Loss: 0.6758	LR: 0.020000
Training Epoch: 20 [13056/46200]	Loss: 0.5437	LR: 0.020000
Training Epoch: 20 [13312/46200]	Loss: 0.5205	LR: 0.020000
Training Epoch: 20 [13568/46200]	Loss: 0.6383	LR: 0.020000
Training Epoch: 20 [13824/46200]	Loss: 0.6037	LR: 0.020000
Training Epoch: 20 [14080/46200]	Loss: 0.5847	LR: 0.020000
Training Epoch: 20 [14336/46200]	Loss: 0.5294	LR: 0.020000
Training Epoch: 20 [14592/46200]	Loss: 0.6109	LR: 0.020000
Training Epoch: 20 [14848/46200]	Loss: 0.5279	LR: 0.020000
Training Epoch: 20 [15104/46200]	Loss: 0.5580	LR: 0.020000
Training Epoch: 20 [15360/46200]	Loss: 0.6545	LR: 0.020000
Training Epoch: 20 [15616/46200]	Loss: 0.6210	LR: 0.020000
Training Epoch: 20 [15872/46200]	Loss: 0.6405	LR: 0.020000
Training Epoch: 20 [16128/46200]	Loss: 0.7174	LR: 0.020000
Training Epoch: 20 [16384/46200]	Loss: 0.6879	LR: 0.020000
Training Epoch: 20 [16640/46200]	Loss: 0.6613	LR: 0.020000
Training Epoch: 20 [16896/46200]	Loss: 0.5522	LR: 0.020000
Training Epoch: 20 [17152/46200]	Loss: 0.6897	LR: 0.020000
Training Epoch: 20 [17408/46200]	Loss: 0.5787	LR: 0.020000
Training Epoch: 20 [17664/46200]	Loss: 0.5803	LR: 0.020000
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Training Epoch: 20 [18176/46200]	Loss: 0.5867	LR: 0.020000
Training Epoch: 20 [18432/46200]	Loss: 0.5311	LR: 0.020000
Training Epoch: 20 [18688/46200]	Loss: 0.6124	LR: 0.020000
Training Epoch: 20 [18944/46200]	Loss: 0.6597	LR: 0.020000
Training Epoch: 20 [19200/46200]	Loss: 0.6391	LR: 0.020000
Training Epoch: 20 [19456/46200]	Loss: 0.6662	LR: 0.020000
Training Epoch: 20 [19712/46200]	Loss: 0.5074	LR: 0.020000
Training Epoch: 20 [19968/46200]	Loss: 0.6279	LR: 0.020000
Training Epoch: 20 [20224/46200]	Loss: 0.6303	LR: 0.020000
Training Epoch: 20 [20480/46200]	Loss: 0.5747	LR: 0.020000
Training Epoch: 20 [20736/46200]	Loss: 0.6528	LR: 0.020000
Training Epoch: 20 [20992/46200]	Loss: 0.5338	LR: 0.020000
Training Epoch: 20 [21248/46200]	Loss: 0.5470	LR: 0.020000
Training Epoch: 20 [21504/46200]	Loss: 0.5654	LR: 0.020000
Training Epoch: 20 [21760/46200]	Loss: 0.5523	LR: 0.020000
Training Epoch: 20 [22016/46200]	Loss: 0.6229	LR: 0.020000
Training Epoch: 20 [22272/46200]	Loss: 0.6945	LR: 0.020000
Training Epoch: 20 [22528/46200]	Loss: 0.6895	LR: 0.020000
Training Epoch: 20 [22784/46200]	Loss: 0.6883	LR: 0.020000
Training Epoch: 20 [23040/46200]	Loss: 0.5654	LR: 0.020000
Training Epoch: 20 [23296/46200]	Loss: 0.7525	LR: 0.020000
Training Epoch: 20 [23552/46200]	Loss: 0.6173	LR: 0.020000
Training Epoch: 20 [23808/46200]	Loss: 0.7110	LR: 0.020000
Training Epoch: 20 [24064/46200]	Loss: 0.6909	LR: 0.020000
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Training Epoch: 20 [24832/46200]	Loss: 0.6826	LR: 0.020000
Training Epoch: 20 [25088/46200]	Loss: 0.6051	LR: 0.020000
Training Epoch: 20 [25344/46200]	Loss: 0.6797	LR: 0.020000
Training Epoch: 20 [25600/46200]	Loss: 0.6432	LR: 0.020000
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Training Epoch: 20 [26112/46200]	Loss: 0.6932	LR: 0.020000
Training Epoch: 20 [26368/46200]	Loss: 0.6019	LR: 0.020000
Training Epoch: 20 [26624/46200]	Loss: 0.5763	LR: 0.020000
Training Epoch: 20 [26880/46200]	Loss: 0.6794	LR: 0.020000
Training Epoch: 20 [27136/46200]	Loss: 0.6090	LR: 0.020000
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Training Epoch: 20 [27648/46200]	Loss: 0.6109	LR: 0.020000
Training Epoch: 20 [27904/46200]	Loss: 0.6302	LR: 0.020000
Training Epoch: 20 [28160/46200]	Loss: 0.5862	LR: 0.020000
Training Epoch: 20 [28416/46200]	Loss: 0.6313	LR: 0.020000
Training Epoch: 20 [28672/46200]	Loss: 0.6393	LR: 0.020000
Training Epoch: 20 [28928/46200]	Loss: 0.6806	LR: 0.020000
Training Epoch: 20 [29184/46200]	Loss: 0.6052	LR: 0.020000
Training Epoch: 20 [29440/46200]	Loss: 0.7642	LR: 0.020000
Training Epoch: 20 [29696/46200]	Loss: 0.5163	LR: 0.020000
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Training Epoch: 20 [30208/46200]	Loss: 0.6088	LR: 0.020000
Training Epoch: 20 [30464/46200]	Loss: 0.7333	LR: 0.020000
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Training Epoch: 20 [30976/46200]	Loss: 0.6770	LR: 0.020000
Training Epoch: 20 [31232/46200]	Loss: 0.6692	LR: 0.020000
Training Epoch: 20 [31488/46200]	Loss: 0.5879	LR: 0.020000
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Training Epoch: 20 [35328/46200]	Loss: 0.5718	LR: 0.020000
Training Epoch: 20 [35584/46200]	Loss: 0.6887	LR: 0.020000
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Training Epoch: 20 [36096/46200]	Loss: 0.6811	LR: 0.020000
Training Epoch: 20 [36352/46200]	Loss: 0.6372	LR: 0.020000
Training Epoch: 20 [36608/46200]	Loss: 0.6399	LR: 0.020000
Training Epoch: 20 [36864/46200]	Loss: 0.6871	LR: 0.020000
Training Epoch: 20 [37120/46200]	Loss: 0.7034	LR: 0.020000
Training Epoch: 20 [37376/46200]	Loss: 0.8014	LR: 0.020000
Training Epoch: 20 [37632/46200]	Loss: 0.7277	LR: 0.020000
Training Epoch: 20 [37888/46200]	Loss: 0.7005	LR: 0.020000
Training Epoch: 20 [38144/46200]	Loss: 0.6145	LR: 0.020000
Training Epoch: 20 [38400/46200]	Loss: 0.5802	LR: 0.020000
Training Epoch: 20 [38656/46200]	Loss: 0.7006	LR: 0.020000
Training Epoch: 20 [38912/46200]	Loss: 0.7740	LR: 0.020000
Training Epoch: 20 [39168/46200]	Loss: 0.6033	LR: 0.020000
Training Epoch: 20 [39424/46200]	Loss: 0.5836	LR: 0.020000
Training Epoch: 20 [39680/46200]	Loss: 0.6769	LR: 0.020000
Training Epoch: 20 [39936/46200]	Loss: 0.6442	LR: 0.020000
Training Epoch: 20 [40192/46200]	Loss: 0.5886	LR: 0.020000
Training Epoch: 20 [40448/46200]	Loss: 0.5921	LR: 0.020000
Training Epoch: 20 [40704/46200]	Loss: 0.6140	LR: 0.020000
Training Epoch: 20 [40960/46200]	Loss: 0.5534	LR: 0.020000
Training Epoch: 20 [41216/46200]	Loss: 0.6335	LR: 0.020000
Training Epoch: 20 [41472/46200]	Loss: 0.5075	LR: 0.020000
Training Epoch: 20 [41728/46200]	Loss: 0.5967	LR: 0.020000
Training Epoch: 20 [41984/46200]	Loss: 0.6304	LR: 0.020000
Training Epoch: 20 [42240/46200]	Loss: 0.6344	LR: 0.020000
Training Epoch: 20 [42496/46200]	Loss: 0.5671	LR: 0.020000
Training Epoch: 20 [42752/46200]	Loss: 0.4981	LR: 0.020000
Training Epoch: 20 [43008/46200]	Loss: 0.5077	LR: 0.020000
Training Epoch: 20 [43264/46200]	Loss: 0.5957	LR: 0.020000
Training Epoch: 20 [43520/46200]	Loss: 0.6841	LR: 0.020000
Training Epoch: 20 [43776/46200]	Loss: 0.6153	LR: 0.020000
Training Epoch: 20 [44032/46200]	Loss: 0.5949	LR: 0.020000
Training Epoch: 20 [44288/46200]	Loss: 0.5538	LR: 0.020000
Training Epoch: 20 [44544/46200]	Loss: 0.5776	LR: 0.020000
Training Epoch: 20 [44800/46200]	Loss: 0.6382	LR: 0.020000
Training Epoch: 20 [45056/46200]	Loss: 0.6880	LR: 0.020000
Training Epoch: 20 [45312/46200]	Loss: 0.6154	LR: 0.020000
Training Epoch: 20 [45568/46200]	Loss: 0.6516	LR: 0.020000
Training Epoch: 20 [45824/46200]	Loss: 0.5322	LR: 0.020000
Training Epoch: 20 [46080/46200]	Loss: 0.5933	LR: 0.020000
Training Epoch: 20 [46200/46200]	Loss: 0.5971	LR: 0.020000
Epoch 20 - Average Train Loss: 0.6200, Train Accuracy: 0.7990
Epoch 20 training time consumed: 25.29s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0034, Accuracy: 0.7371, Time consumed:0.91s
Training Epoch: 21 [256/46200]	Loss: 0.6219	LR: 0.020000
Training Epoch: 21 [512/46200]	Loss: 0.5680	LR: 0.020000
Training Epoch: 21 [768/46200]	Loss: 0.5797	LR: 0.020000
Training Epoch: 21 [1024/46200]	Loss: 0.6224	LR: 0.020000
Training Epoch: 21 [1280/46200]	Loss: 0.5699	LR: 0.020000
Training Epoch: 21 [1536/46200]	Loss: 0.5485	LR: 0.020000
Training Epoch: 21 [1792/46200]	Loss: 0.5670	LR: 0.020000
Training Epoch: 21 [2048/46200]	Loss: 0.5879	LR: 0.020000
Training Epoch: 21 [2304/46200]	Loss: 0.6054	LR: 0.020000
Training Epoch: 21 [2560/46200]	Loss: 0.6115	LR: 0.020000
Training Epoch: 21 [2816/46200]	Loss: 0.6033	LR: 0.020000
Training Epoch: 21 [3072/46200]	Loss: 0.7132	LR: 0.020000
Training Epoch: 21 [3328/46200]	Loss: 0.5487	LR: 0.020000
Training Epoch: 21 [3584/46200]	Loss: 0.5763	LR: 0.020000
Training Epoch: 21 [3840/46200]	Loss: 0.5891	LR: 0.020000
Training Epoch: 21 [4096/46200]	Loss: 0.7253	LR: 0.020000
Training Epoch: 21 [4352/46200]	Loss: 0.5730	LR: 0.020000
Training Epoch: 21 [4608/46200]	Loss: 0.5435	LR: 0.020000
Training Epoch: 21 [4864/46200]	Loss: 0.5648	LR: 0.020000
Training Epoch: 21 [5120/46200]	Loss: 0.6245	LR: 0.020000
Training Epoch: 21 [5376/46200]	Loss: 0.5913	LR: 0.020000
Training Epoch: 21 [5632/46200]	Loss: 0.5415	LR: 0.020000
Training Epoch: 21 [5888/46200]	Loss: 0.5247	LR: 0.020000
Training Epoch: 21 [6144/46200]	Loss: 0.5110	LR: 0.020000
Training Epoch: 21 [6400/46200]	Loss: 0.5521	LR: 0.020000
Training Epoch: 21 [6656/46200]	Loss: 0.5673	LR: 0.020000
Training Epoch: 21 [6912/46200]	Loss: 0.6076	LR: 0.020000
Training Epoch: 21 [7168/46200]	Loss: 0.7153	LR: 0.020000
Training Epoch: 21 [7424/46200]	Loss: 0.6227	LR: 0.020000
Training Epoch: 21 [7680/46200]	Loss: 0.6480	LR: 0.020000
Training Epoch: 21 [7936/46200]	Loss: 0.5970	LR: 0.020000
Training Epoch: 21 [8192/46200]	Loss: 0.5951	LR: 0.020000
Training Epoch: 21 [8448/46200]	Loss: 0.6868	LR: 0.020000
Training Epoch: 21 [8704/46200]	Loss: 0.6706	LR: 0.020000
Training Epoch: 21 [8960/46200]	Loss: 0.5378	LR: 0.020000
Training Epoch: 21 [9216/46200]	Loss: 0.5387	LR: 0.020000
Training Epoch: 21 [9472/46200]	Loss: 0.6066	LR: 0.020000
Training Epoch: 21 [9728/46200]	Loss: 0.5450	LR: 0.020000
Training Epoch: 21 [9984/46200]	Loss: 0.5474	LR: 0.020000
Training Epoch: 21 [10240/46200]	Loss: 0.5195	LR: 0.020000
Training Epoch: 21 [10496/46200]	Loss: 0.5909	LR: 0.020000
Training Epoch: 21 [10752/46200]	Loss: 0.6352	LR: 0.020000
Training Epoch: 21 [11008/46200]	Loss: 0.4866	LR: 0.020000
Training Epoch: 21 [11264/46200]	Loss: 0.5592	LR: 0.020000
Training Epoch: 21 [11520/46200]	Loss: 0.4627	LR: 0.020000
Training Epoch: 21 [11776/46200]	Loss: 0.5324	LR: 0.020000
Training Epoch: 21 [12032/46200]	Loss: 0.6657	LR: 0.020000
Training Epoch: 21 [12288/46200]	Loss: 0.5888	LR: 0.020000
Training Epoch: 21 [12544/46200]	Loss: 0.6504	LR: 0.020000
Training Epoch: 21 [12800/46200]	Loss: 0.5439	LR: 0.020000
Training Epoch: 21 [13056/46200]	Loss: 0.5400	LR: 0.020000
Training Epoch: 21 [13312/46200]	Loss: 0.6125	LR: 0.020000
Training Epoch: 21 [13568/46200]	Loss: 0.5544	LR: 0.020000
Training Epoch: 21 [13824/46200]	Loss: 0.5875	LR: 0.020000
Training Epoch: 21 [14080/46200]	Loss: 0.5838	LR: 0.020000
Training Epoch: 21 [14336/46200]	Loss: 0.7385	LR: 0.020000
Training Epoch: 21 [14592/46200]	Loss: 0.6590	LR: 0.020000
Training Epoch: 21 [14848/46200]	Loss: 0.5251	LR: 0.020000
Training Epoch: 21 [15104/46200]	Loss: 0.6899	LR: 0.020000
Training Epoch: 21 [15360/46200]	Loss: 0.6183	LR: 0.020000
Training Epoch: 21 [15616/46200]	Loss: 0.5239	LR: 0.020000
Training Epoch: 21 [15872/46200]	Loss: 0.6680	LR: 0.020000
Training Epoch: 21 [16128/46200]	Loss: 0.7156	LR: 0.020000
Training Epoch: 21 [16384/46200]	Loss: 0.6373	LR: 0.020000
Training Epoch: 21 [16640/46200]	Loss: 0.6470	LR: 0.020000
Training Epoch: 21 [16896/46200]	Loss: 0.6802	LR: 0.020000
Training Epoch: 21 [17152/46200]	Loss: 0.5887	LR: 0.020000
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Training Epoch: 21 [19200/46200]	Loss: 0.7107	LR: 0.020000
Training Epoch: 21 [19456/46200]	Loss: 0.6513	LR: 0.020000
Training Epoch: 21 [19712/46200]	Loss: 0.6103	LR: 0.020000
Training Epoch: 21 [19968/46200]	Loss: 0.5661	LR: 0.020000
Training Epoch: 21 [20224/46200]	Loss: 0.5751	LR: 0.020000
Training Epoch: 21 [20480/46200]	Loss: 0.6759	LR: 0.020000
Training Epoch: 21 [20736/46200]	Loss: 0.5137	LR: 0.020000
Training Epoch: 21 [20992/46200]	Loss: 0.5300	LR: 0.020000
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Training Epoch: 21 [21504/46200]	Loss: 0.6111	LR: 0.020000
Training Epoch: 21 [21760/46200]	Loss: 0.7034	LR: 0.020000
Training Epoch: 21 [22016/46200]	Loss: 0.5830	LR: 0.020000
Training Epoch: 21 [22272/46200]	Loss: 0.6663	LR: 0.020000
Training Epoch: 21 [22528/46200]	Loss: 0.5752	LR: 0.020000
Training Epoch: 21 [22784/46200]	Loss: 0.5529	LR: 0.020000
Training Epoch: 21 [23040/46200]	Loss: 0.6521	LR: 0.020000
Training Epoch: 21 [23296/46200]	Loss: 0.5778	LR: 0.020000
Training Epoch: 21 [23552/46200]	Loss: 0.6273	LR: 0.020000
Training Epoch: 21 [23808/46200]	Loss: 0.6899	LR: 0.020000
Training Epoch: 21 [24064/46200]	Loss: 0.6458	LR: 0.020000
Training Epoch: 21 [24320/46200]	Loss: 0.6797	LR: 0.020000
Training Epoch: 21 [24576/46200]	Loss: 0.5193	LR: 0.020000
Training Epoch: 21 [24832/46200]	Loss: 0.6088	LR: 0.020000
Training Epoch: 21 [25088/46200]	Loss: 0.6177	LR: 0.020000
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Training Epoch: 21 [25600/46200]	Loss: 0.5220	LR: 0.020000
Training Epoch: 21 [25856/46200]	Loss: 0.5962	LR: 0.020000
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Training Epoch: 21 [26368/46200]	Loss: 0.6735	LR: 0.020000
Training Epoch: 21 [26624/46200]	Loss: 0.5805	LR: 0.020000
Training Epoch: 21 [26880/46200]	Loss: 0.6590	LR: 0.020000
Training Epoch: 21 [27136/46200]	Loss: 0.6068	LR: 0.020000
Training Epoch: 21 [27392/46200]	Loss: 0.6170	LR: 0.020000
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Training Epoch: 21 [27904/46200]	Loss: 0.5393	LR: 0.020000
Training Epoch: 21 [28160/46200]	Loss: 0.7857	LR: 0.020000
Training Epoch: 21 [28416/46200]	Loss: 0.6434	LR: 0.020000
Training Epoch: 21 [28672/46200]	Loss: 0.6624	LR: 0.020000
Training Epoch: 21 [28928/46200]	Loss: 0.6591	LR: 0.020000
Training Epoch: 21 [29184/46200]	Loss: 0.5865	LR: 0.020000
Training Epoch: 21 [29440/46200]	Loss: 0.5370	LR: 0.020000
Training Epoch: 21 [29696/46200]	Loss: 0.5363	LR: 0.020000
Training Epoch: 21 [29952/46200]	Loss: 0.6085	LR: 0.020000
Training Epoch: 21 [30208/46200]	Loss: 0.5755	LR: 0.020000
Training Epoch: 21 [30464/46200]	Loss: 0.6025	LR: 0.020000
Training Epoch: 21 [30720/46200]	Loss: 0.5950	LR: 0.020000
Training Epoch: 21 [30976/46200]	Loss: 0.6407	LR: 0.020000
Training Epoch: 21 [31232/46200]	Loss: 0.6590	LR: 0.020000
Training Epoch: 21 [31488/46200]	Loss: 0.6456	LR: 0.020000
Training Epoch: 21 [31744/46200]	Loss: 0.5181	LR: 0.020000
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Training Epoch: 21 [32256/46200]	Loss: 0.5471	LR: 0.020000
Training Epoch: 21 [32512/46200]	Loss: 0.5796	LR: 0.020000
Training Epoch: 21 [32768/46200]	Loss: 0.5937	LR: 0.020000
Training Epoch: 21 [33024/46200]	Loss: 0.5576	LR: 0.020000
Training Epoch: 21 [33280/46200]	Loss: 0.5451	LR: 0.020000
Training Epoch: 21 [33536/46200]	Loss: 0.5827	LR: 0.020000
Training Epoch: 21 [33792/46200]	Loss: 0.7095	LR: 0.020000
Training Epoch: 21 [34048/46200]	Loss: 0.4938	LR: 0.020000
Training Epoch: 21 [34304/46200]	Loss: 0.5996	LR: 0.020000
Training Epoch: 21 [34560/46200]	Loss: 0.7310	LR: 0.020000
Training Epoch: 21 [34816/46200]	Loss: 0.5467	LR: 0.020000
Training Epoch: 21 [35072/46200]	Loss: 0.6445	LR: 0.020000
Training Epoch: 21 [35328/46200]	Loss: 0.6783	LR: 0.020000
Training Epoch: 21 [35584/46200]	Loss: 0.7446	LR: 0.020000
Training Epoch: 21 [35840/46200]	Loss: 0.5127	LR: 0.020000
Training Epoch: 21 [36096/46200]	Loss: 0.5343	LR: 0.020000
Training Epoch: 21 [36352/46200]	Loss: 0.5710	LR: 0.020000
Training Epoch: 21 [36608/46200]	Loss: 0.6405	LR: 0.020000
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Training Epoch: 21 [37376/46200]	Loss: 0.6321	LR: 0.020000
Training Epoch: 21 [37632/46200]	Loss: 0.7090	LR: 0.020000
Training Epoch: 21 [37888/46200]	Loss: 0.6157	LR: 0.020000
Training Epoch: 21 [38144/46200]	Loss: 0.5564	LR: 0.020000
Training Epoch: 21 [38400/46200]	Loss: 0.5796	LR: 0.020000
Training Epoch: 21 [38656/46200]	Loss: 0.5229	LR: 0.020000
Training Epoch: 21 [38912/46200]	Loss: 0.6260	LR: 0.020000
Training Epoch: 21 [39168/46200]	Loss: 0.6075	LR: 0.020000
Training Epoch: 21 [39424/46200]	Loss: 0.7417	LR: 0.020000
Training Epoch: 21 [39680/46200]	Loss: 0.5890	LR: 0.020000
Training Epoch: 21 [39936/46200]	Loss: 0.6074	LR: 0.020000
Training Epoch: 21 [40192/46200]	Loss: 0.6446	LR: 0.020000
Training Epoch: 21 [40448/46200]	Loss: 0.6321	LR: 0.020000
Training Epoch: 21 [40704/46200]	Loss: 0.6432	LR: 0.020000
Training Epoch: 21 [40960/46200]	Loss: 0.5646	LR: 0.020000
Training Epoch: 21 [41216/46200]	Loss: 0.6337	LR: 0.020000
Training Epoch: 21 [41472/46200]	Loss: 0.6448	LR: 0.020000
Training Epoch: 21 [41728/46200]	Loss: 0.6698	LR: 0.020000
Training Epoch: 21 [41984/46200]	Loss: 0.5429	LR: 0.020000
Training Epoch: 21 [42240/46200]	Loss: 0.5541	LR: 0.020000
Training Epoch: 21 [42496/46200]	Loss: 0.5572	LR: 0.020000
Training Epoch: 21 [42752/46200]	Loss: 0.5907	LR: 0.020000
Training Epoch: 21 [43008/46200]	Loss: 0.6496	LR: 0.020000
Training Epoch: 21 [43264/46200]	Loss: 0.6740	LR: 0.020000
Training Epoch: 21 [43520/46200]	Loss: 0.5822	LR: 0.020000
Training Epoch: 21 [43776/46200]	Loss: 0.6600	LR: 0.020000
Training Epoch: 21 [44032/46200]	Loss: 0.6468	LR: 0.020000
Training Epoch: 21 [44288/46200]	Loss: 0.6407	LR: 0.020000
Training Epoch: 21 [44544/46200]	Loss: 0.6073	LR: 0.020000
Training Epoch: 21 [44800/46200]	Loss: 0.6352	LR: 0.020000
Training Epoch: 21 [45056/46200]	Loss: 0.5814	LR: 0.020000
Training Epoch: 21 [45312/46200]	Loss: 0.5520	LR: 0.020000
Training Epoch: 21 [45568/46200]	Loss: 0.6277	LR: 0.020000
Training Epoch: 21 [45824/46200]	Loss: 0.6037	LR: 0.020000
Training Epoch: 21 [46080/46200]	Loss: 0.5894	LR: 0.020000
Training Epoch: 21 [46200/46200]	Loss: 0.6339	LR: 0.020000
Epoch 21 - Average Train Loss: 0.6078, Train Accuracy: 0.8020
Epoch 21 training time consumed: 25.29s
Evaluating Network.....
Test set: Epoch: 21, Average loss: 0.0036, Accuracy: 0.7316, Time consumed:0.95s
Training Epoch: 22 [256/46200]	Loss: 0.5346	LR: 0.020000
Training Epoch: 22 [512/46200]	Loss: 0.6301	LR: 0.020000
Training Epoch: 22 [768/46200]	Loss: 0.6025	LR: 0.020000
Training Epoch: 22 [1024/46200]	Loss: 0.5902	LR: 0.020000
Training Epoch: 22 [1280/46200]	Loss: 0.5603	LR: 0.020000
Training Epoch: 22 [1536/46200]	Loss: 0.5078	LR: 0.020000
Training Epoch: 22 [1792/46200]	Loss: 0.4911	LR: 0.020000
Training Epoch: 22 [2048/46200]	Loss: 0.4778	LR: 0.020000
Training Epoch: 22 [2304/46200]	Loss: 0.7095	LR: 0.020000
Training Epoch: 22 [2560/46200]	Loss: 0.6328	LR: 0.020000
Training Epoch: 22 [2816/46200]	Loss: 0.5042	LR: 0.020000
Training Epoch: 22 [3072/46200]	Loss: 0.6644	LR: 0.020000
Training Epoch: 22 [3328/46200]	Loss: 0.5309	LR: 0.020000
Training Epoch: 22 [3584/46200]	Loss: 0.6479	LR: 0.020000
Training Epoch: 22 [3840/46200]	Loss: 0.5346	LR: 0.020000
Training Epoch: 22 [4096/46200]	Loss: 0.6719	LR: 0.020000
Training Epoch: 22 [4352/46200]	Loss: 0.6034	LR: 0.020000
Training Epoch: 22 [4608/46200]	Loss: 0.5908	LR: 0.020000
Training Epoch: 22 [4864/46200]	Loss: 0.5764	LR: 0.020000
Training Epoch: 22 [5120/46200]	Loss: 0.6266	LR: 0.020000
Training Epoch: 22 [5376/46200]	Loss: 0.4981	LR: 0.020000
Training Epoch: 22 [5632/46200]	Loss: 0.6330	LR: 0.020000
Training Epoch: 22 [5888/46200]	Loss: 0.5036	LR: 0.020000
Training Epoch: 22 [6144/46200]	Loss: 0.6456	LR: 0.020000
Training Epoch: 22 [6400/46200]	Loss: 0.5175	LR: 0.020000
Training Epoch: 22 [6656/46200]	Loss: 0.5531	LR: 0.020000
Training Epoch: 22 [6912/46200]	Loss: 0.6075	LR: 0.020000
Training Epoch: 22 [7168/46200]	Loss: 0.5940	LR: 0.020000
Training Epoch: 22 [7424/46200]	Loss: 0.5357	LR: 0.020000
Training Epoch: 22 [7680/46200]	Loss: 0.6004	LR: 0.020000
Training Epoch: 22 [7936/46200]	Loss: 0.6137	LR: 0.020000
Training Epoch: 22 [8192/46200]	Loss: 0.5510	LR: 0.020000
Training Epoch: 22 [8448/46200]	Loss: 0.5960	LR: 0.020000
Training Epoch: 22 [8704/46200]	Loss: 0.5884	LR: 0.020000
Training Epoch: 22 [8960/46200]	Loss: 0.6851	LR: 0.020000
Training Epoch: 22 [9216/46200]	Loss: 0.5212	LR: 0.020000
Training Epoch: 22 [9472/46200]	Loss: 0.5536	LR: 0.020000
Training Epoch: 22 [9728/46200]	Loss: 0.6184	LR: 0.020000
Training Epoch: 22 [9984/46200]	Loss: 0.6571	LR: 0.020000
Training Epoch: 22 [10240/46200]	Loss: 0.6636	LR: 0.020000
Training Epoch: 22 [10496/46200]	Loss: 0.5896	LR: 0.020000
Training Epoch: 22 [10752/46200]	Loss: 0.6135	LR: 0.020000
Training Epoch: 22 [11008/46200]	Loss: 0.5644	LR: 0.020000
Training Epoch: 22 [11264/46200]	Loss: 0.6199	LR: 0.020000
Training Epoch: 22 [11520/46200]	Loss: 0.6207	LR: 0.020000
Training Epoch: 22 [11776/46200]	Loss: 0.6061	LR: 0.020000
Training Epoch: 22 [12032/46200]	Loss: 0.5690	LR: 0.020000
Training Epoch: 22 [12288/46200]	Loss: 0.5661	LR: 0.020000
Training Epoch: 22 [12544/46200]	Loss: 0.4981	LR: 0.020000
Training Epoch: 22 [12800/46200]	Loss: 0.6243	LR: 0.020000
Training Epoch: 22 [13056/46200]	Loss: 0.5560	LR: 0.020000
Training Epoch: 22 [13312/46200]	Loss: 0.6276	LR: 0.020000
Training Epoch: 22 [13568/46200]	Loss: 0.7171	LR: 0.020000
Training Epoch: 22 [13824/46200]	Loss: 0.5961	LR: 0.020000
Training Epoch: 22 [14080/46200]	Loss: 0.6319	LR: 0.020000
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Training Epoch: 22 [16640/46200]	Loss: 0.4718	LR: 0.020000
Training Epoch: 22 [16896/46200]	Loss: 0.5331	LR: 0.020000
Training Epoch: 22 [17152/46200]	Loss: 0.6345	LR: 0.020000
Training Epoch: 22 [17408/46200]	Loss: 0.5945	LR: 0.020000
Training Epoch: 22 [17664/46200]	Loss: 0.5961	LR: 0.020000
Training Epoch: 22 [17920/46200]	Loss: 0.5562	LR: 0.020000
Training Epoch: 22 [18176/46200]	Loss: 0.6228	LR: 0.020000
Training Epoch: 22 [18432/46200]	Loss: 0.5282	LR: 0.020000
Training Epoch: 22 [18688/46200]	Loss: 0.6393	LR: 0.020000
Training Epoch: 22 [18944/46200]	Loss: 0.6931	LR: 0.020000
Training Epoch: 22 [19200/46200]	Loss: 0.5599	LR: 0.020000
Training Epoch: 22 [19456/46200]	Loss: 0.5506	LR: 0.020000
Training Epoch: 22 [19712/46200]	Loss: 0.6148	LR: 0.020000
Training Epoch: 22 [19968/46200]	Loss: 0.5735	LR: 0.020000
Training Epoch: 22 [20224/46200]	Loss: 0.6319	LR: 0.020000
Training Epoch: 22 [20480/46200]	Loss: 0.5990	LR: 0.020000
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Training Epoch: 22 [21504/46200]	Loss: 0.6003	LR: 0.020000
Training Epoch: 22 [21760/46200]	Loss: 0.6213	LR: 0.020000
Training Epoch: 22 [22016/46200]	Loss: 0.6621	LR: 0.020000
Training Epoch: 22 [22272/46200]	Loss: 0.5462	LR: 0.020000
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Training Epoch: 22 [22784/46200]	Loss: 0.5886	LR: 0.020000
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Training Epoch: 22 [23296/46200]	Loss: 0.6222	LR: 0.020000
Training Epoch: 22 [23552/46200]	Loss: 0.5050	LR: 0.020000
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Training Epoch: 22 [24320/46200]	Loss: 0.5614	LR: 0.020000
Training Epoch: 22 [24576/46200]	Loss: 0.6015	LR: 0.020000
Training Epoch: 22 [24832/46200]	Loss: 0.5746	LR: 0.020000
Training Epoch: 22 [25088/46200]	Loss: 0.5273	LR: 0.020000
Training Epoch: 22 [25344/46200]	Loss: 0.6624	LR: 0.020000
Training Epoch: 22 [25600/46200]	Loss: 0.6159	LR: 0.020000
Training Epoch: 22 [25856/46200]	Loss: 0.6360	LR: 0.020000
Training Epoch: 22 [26112/46200]	Loss: 0.6481	LR: 0.020000
Training Epoch: 22 [26368/46200]	Loss: 0.6468	LR: 0.020000
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Training Epoch: 22 [26880/46200]	Loss: 0.7064	LR: 0.020000
Training Epoch: 22 [27136/46200]	Loss: 0.5074	LR: 0.020000
Training Epoch: 22 [27392/46200]	Loss: 0.5748	LR: 0.020000
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Training Epoch: 22 [27904/46200]	Loss: 0.5532	LR: 0.020000
Training Epoch: 22 [28160/46200]	Loss: 0.6910	LR: 0.020000
Training Epoch: 22 [28416/46200]	Loss: 0.6565	LR: 0.020000
Training Epoch: 22 [28672/46200]	Loss: 0.5871	LR: 0.020000
Training Epoch: 22 [28928/46200]	Loss: 0.6872	LR: 0.020000
Training Epoch: 22 [29184/46200]	Loss: 0.6154	LR: 0.020000
Training Epoch: 22 [29440/46200]	Loss: 0.5915	LR: 0.020000
Training Epoch: 22 [29696/46200]	Loss: 0.6526	LR: 0.020000
Training Epoch: 22 [29952/46200]	Loss: 0.6304	LR: 0.020000
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Training Epoch: 22 [30464/46200]	Loss: 0.6718	LR: 0.020000
Training Epoch: 22 [30720/46200]	Loss: 0.6517	LR: 0.020000
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Training Epoch: 22 [33024/46200]	Loss: 0.5631	LR: 0.020000
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Training Epoch: 22 [33536/46200]	Loss: 0.5751	LR: 0.020000
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Training Epoch: 22 [36096/46200]	Loss: 0.5367	LR: 0.020000
Training Epoch: 22 [36352/46200]	Loss: 0.5584	LR: 0.020000
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Training Epoch: 22 [37376/46200]	Loss: 0.5063	LR: 0.020000
Training Epoch: 22 [37632/46200]	Loss: 0.6787	LR: 0.020000
Training Epoch: 22 [37888/46200]	Loss: 0.6371	LR: 0.020000
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Training Epoch: 22 [38400/46200]	Loss: 0.5744	LR: 0.020000
Training Epoch: 22 [38656/46200]	Loss: 0.6804	LR: 0.020000
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Training Epoch: 22 [40192/46200]	Loss: 0.6521	LR: 0.020000
Training Epoch: 22 [40448/46200]	Loss: 0.5897	LR: 0.020000
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Training Epoch: 22 [44032/46200]	Loss: 0.6131	LR: 0.020000
Training Epoch: 22 [44288/46200]	Loss: 0.6112	LR: 0.020000
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Training Epoch: 22 [46080/46200]	Loss: 0.5265	LR: 0.020000
Training Epoch: 22 [46200/46200]	Loss: 0.4679	LR: 0.020000
Epoch 22 - Average Train Loss: 0.5964, Train Accuracy: 0.8069
Epoch 22 training time consumed: 25.26s
Evaluating Network.....
Test set: Epoch: 22, Average loss: 0.0034, Accuracy: 0.7407, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_10h_21m_47s/AllCNN-Cifar20-seed5-ret25-22-best.pth
Training Epoch: 23 [256/46200]	Loss: 0.5376	LR: 0.020000
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Training Epoch: 23 [46200/46200]	Loss: 0.8281	LR: 0.020000
Epoch 23 - Average Train Loss: 0.5813, Train Accuracy: 0.8116
Epoch 23 training time consumed: 25.27s
Evaluating Network.....
Test set: Epoch: 23, Average loss: 0.0038, Accuracy: 0.7179, Time consumed:0.86s
Training Epoch: 24 [256/46200]	Loss: 0.5795	LR: 0.020000
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Training Epoch: 24 [23808/46200]	Loss: 0.5896	LR: 0.020000
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Training Epoch: 24 [24320/46200]	Loss: 0.5350	LR: 0.020000
Training Epoch: 24 [24576/46200]	Loss: 0.5915	LR: 0.020000
Training Epoch: 24 [24832/46200]	Loss: 0.6070	LR: 0.020000
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Training Epoch: 24 [27136/46200]	Loss: 0.4880	LR: 0.020000
Training Epoch: 24 [27392/46200]	Loss: 0.6344	LR: 0.020000
Training Epoch: 24 [27648/46200]	Loss: 0.5741	LR: 0.020000
Training Epoch: 24 [27904/46200]	Loss: 0.5905	LR: 0.020000
Training Epoch: 24 [28160/46200]	Loss: 0.5616	LR: 0.020000
Training Epoch: 24 [28416/46200]	Loss: 0.5142	LR: 0.020000
Training Epoch: 24 [28672/46200]	Loss: 0.5751	LR: 0.020000
Training Epoch: 24 [28928/46200]	Loss: 0.5721	LR: 0.020000
Training Epoch: 24 [29184/46200]	Loss: 0.5254	LR: 0.020000
Training Epoch: 24 [29440/46200]	Loss: 0.5960	LR: 0.020000
Training Epoch: 24 [29696/46200]	Loss: 0.4844	LR: 0.020000
Training Epoch: 24 [29952/46200]	Loss: 0.6057	LR: 0.020000
Training Epoch: 24 [30208/46200]	Loss: 0.6949	LR: 0.020000
Training Epoch: 24 [30464/46200]	Loss: 0.5756	LR: 0.020000
Training Epoch: 24 [30720/46200]	Loss: 0.5124	LR: 0.020000
Training Epoch: 24 [30976/46200]	Loss: 0.5686	LR: 0.020000
Training Epoch: 24 [31232/46200]	Loss: 0.5758	LR: 0.020000
Training Epoch: 24 [31488/46200]	Loss: 0.4522	LR: 0.020000
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Training Epoch: 24 [38144/46200]	Loss: 0.6520	LR: 0.020000
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Training Epoch: 24 [39168/46200]	Loss: 0.5819	LR: 0.020000
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Training Epoch: 24 [39680/46200]	Loss: 0.5927	LR: 0.020000
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Training Epoch: 24 [40192/46200]	Loss: 0.6387	LR: 0.020000
Training Epoch: 24 [40448/46200]	Loss: 0.5713	LR: 0.020000
Training Epoch: 24 [40704/46200]	Loss: 0.5435	LR: 0.020000
Training Epoch: 24 [40960/46200]	Loss: 0.5731	LR: 0.020000
Training Epoch: 24 [41216/46200]	Loss: 0.5437	LR: 0.020000
Training Epoch: 24 [41472/46200]	Loss: 0.5323	LR: 0.020000
Training Epoch: 24 [41728/46200]	Loss: 0.5986	LR: 0.020000
Training Epoch: 24 [41984/46200]	Loss: 0.5571	LR: 0.020000
Training Epoch: 24 [42240/46200]	Loss: 0.5458	LR: 0.020000
Training Epoch: 24 [42496/46200]	Loss: 0.6292	LR: 0.020000
Training Epoch: 24 [42752/46200]	Loss: 0.6193	LR: 0.020000
Training Epoch: 24 [43008/46200]	Loss: 0.7164	LR: 0.020000
Training Epoch: 24 [43264/46200]	Loss: 0.5984	LR: 0.020000
Training Epoch: 24 [43520/46200]	Loss: 0.5086	LR: 0.020000
Training Epoch: 24 [43776/46200]	Loss: 0.6124	LR: 0.020000
Training Epoch: 24 [44032/46200]	Loss: 0.6088	LR: 0.020000
Training Epoch: 24 [44288/46200]	Loss: 0.6884	LR: 0.020000
Training Epoch: 24 [44544/46200]	Loss: 0.5602	LR: 0.020000
Training Epoch: 24 [44800/46200]	Loss: 0.6328	LR: 0.020000
Training Epoch: 24 [45056/46200]	Loss: 0.6731	LR: 0.020000
Training Epoch: 24 [45312/46200]	Loss: 0.5017	LR: 0.020000
Training Epoch: 24 [45568/46200]	Loss: 0.7439	LR: 0.020000
Training Epoch: 24 [45824/46200]	Loss: 0.6117	LR: 0.020000
Training Epoch: 24 [46080/46200]	Loss: 0.6616	LR: 0.020000
Training Epoch: 24 [46200/46200]	Loss: 0.6136	LR: 0.020000
Epoch 24 - Average Train Loss: 0.5736, Train Accuracy: 0.8149
Epoch 24 training time consumed: 25.23s
Evaluating Network.....
Test set: Epoch: 24, Average loss: 0.0037, Accuracy: 0.7259, Time consumed:0.97s
Training Epoch: 25 [256/46200]	Loss: 0.5225	LR: 0.020000
Training Epoch: 25 [512/46200]	Loss: 0.5298	LR: 0.020000
Training Epoch: 25 [768/46200]	Loss: 0.5571	LR: 0.020000
Training Epoch: 25 [1024/46200]	Loss: 0.5159	LR: 0.020000
Training Epoch: 25 [1280/46200]	Loss: 0.5608	LR: 0.020000
Training Epoch: 25 [1536/46200]	Loss: 0.5026	LR: 0.020000
Training Epoch: 25 [1792/46200]	Loss: 0.4807	LR: 0.020000
Training Epoch: 25 [2048/46200]	Loss: 0.5550	LR: 0.020000
Training Epoch: 25 [2304/46200]	Loss: 0.5064	LR: 0.020000
Training Epoch: 25 [2560/46200]	Loss: 0.4988	LR: 0.020000
Training Epoch: 25 [2816/46200]	Loss: 0.4775	LR: 0.020000
Training Epoch: 25 [3072/46200]	Loss: 0.5470	LR: 0.020000
Training Epoch: 25 [3328/46200]	Loss: 0.5271	LR: 0.020000
Training Epoch: 25 [3584/46200]	Loss: 0.5073	LR: 0.020000
Training Epoch: 25 [3840/46200]	Loss: 0.4887	LR: 0.020000
Training Epoch: 25 [4096/46200]	Loss: 0.4576	LR: 0.020000
Training Epoch: 25 [4352/46200]	Loss: 0.4450	LR: 0.020000
Training Epoch: 25 [4608/46200]	Loss: 0.4815	LR: 0.020000
Training Epoch: 25 [4864/46200]	Loss: 0.6485	LR: 0.020000
Training Epoch: 25 [5120/46200]	Loss: 0.5766	LR: 0.020000
Training Epoch: 25 [5376/46200]	Loss: 0.5221	LR: 0.020000
Training Epoch: 25 [5632/46200]	Loss: 0.3940	LR: 0.020000
Training Epoch: 25 [5888/46200]	Loss: 0.4873	LR: 0.020000
Training Epoch: 25 [6144/46200]	Loss: 0.5401	LR: 0.020000
Training Epoch: 25 [6400/46200]	Loss: 0.5689	LR: 0.020000
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Training Epoch: 25 [7168/46200]	Loss: 0.5782	LR: 0.020000
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Training Epoch: 25 [7680/46200]	Loss: 0.5866	LR: 0.020000
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Training Epoch: 25 [8960/46200]	Loss: 0.4913	LR: 0.020000
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Training Epoch: 25 [28416/46200]	Loss: 0.6880	LR: 0.020000
Training Epoch: 25 [28672/46200]	Loss: 0.6629	LR: 0.020000
Training Epoch: 25 [28928/46200]	Loss: 0.5806	LR: 0.020000
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Training Epoch: 25 [29440/46200]	Loss: 0.6902	LR: 0.020000
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Training Epoch: 25 [40192/46200]	Loss: 0.6071	LR: 0.020000
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Training Epoch: 25 [42496/46200]	Loss: 0.6470	LR: 0.020000
Training Epoch: 25 [42752/46200]	Loss: 0.6659	LR: 0.020000
Training Epoch: 25 [43008/46200]	Loss: 0.5651	LR: 0.020000
Training Epoch: 25 [43264/46200]	Loss: 0.6070	LR: 0.020000
Training Epoch: 25 [43520/46200]	Loss: 0.5550	LR: 0.020000
Training Epoch: 25 [43776/46200]	Loss: 0.5134	LR: 0.020000
Training Epoch: 25 [44032/46200]	Loss: 0.5937	LR: 0.020000
Training Epoch: 25 [44288/46200]	Loss: 0.5484	LR: 0.020000
Training Epoch: 25 [44544/46200]	Loss: 0.6960	LR: 0.020000
Training Epoch: 25 [44800/46200]	Loss: 0.6400	LR: 0.020000
Training Epoch: 25 [45056/46200]	Loss: 0.5190	LR: 0.020000
Training Epoch: 25 [45312/46200]	Loss: 0.6337	LR: 0.020000
Training Epoch: 25 [45568/46200]	Loss: 0.5240	LR: 0.020000
Training Epoch: 25 [45824/46200]	Loss: 0.5242	LR: 0.020000
Training Epoch: 25 [46080/46200]	Loss: 0.4659	LR: 0.020000
Training Epoch: 25 [46200/46200]	Loss: 0.4848	LR: 0.020000
Epoch 25 - Average Train Loss: 0.5546, Train Accuracy: 0.8204
Epoch 25 training time consumed: 25.23s
Evaluating Network.....
Test set: Epoch: 25, Average loss: 0.0035, Accuracy: 0.7388, Time consumed:0.88s
Training Epoch: 26 [256/46200]	Loss: 0.6038	LR: 0.020000
Training Epoch: 26 [512/46200]	Loss: 0.5970	LR: 0.020000
Training Epoch: 26 [768/46200]	Loss: 0.5592	LR: 0.020000
Training Epoch: 26 [1024/46200]	Loss: 0.5061	LR: 0.020000
Training Epoch: 26 [1280/46200]	Loss: 0.4786	LR: 0.020000
Training Epoch: 26 [1536/46200]	Loss: 0.5239	LR: 0.020000
Training Epoch: 26 [1792/46200]	Loss: 0.4598	LR: 0.020000
Training Epoch: 26 [2048/46200]	Loss: 0.5275	LR: 0.020000
Training Epoch: 26 [2304/46200]	Loss: 0.4964	LR: 0.020000
Training Epoch: 26 [2560/46200]	Loss: 0.5068	LR: 0.020000
Training Epoch: 26 [2816/46200]	Loss: 0.5172	LR: 0.020000
Training Epoch: 26 [3072/46200]	Loss: 0.5460	LR: 0.020000
Training Epoch: 26 [3328/46200]	Loss: 0.5089	LR: 0.020000
Training Epoch: 26 [3584/46200]	Loss: 0.5374	LR: 0.020000
Training Epoch: 26 [3840/46200]	Loss: 0.4835	LR: 0.020000
Training Epoch: 26 [4096/46200]	Loss: 0.5906	LR: 0.020000
Training Epoch: 26 [4352/46200]	Loss: 0.4725	LR: 0.020000
Training Epoch: 26 [4608/46200]	Loss: 0.5519	LR: 0.020000
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Training Epoch: 26 [7936/46200]	Loss: 0.4932	LR: 0.020000
Training Epoch: 26 [8192/46200]	Loss: 0.4615	LR: 0.020000
Training Epoch: 26 [8448/46200]	Loss: 0.4760	LR: 0.020000
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Training Epoch: 26 [8960/46200]	Loss: 0.6207	LR: 0.020000
Training Epoch: 26 [9216/46200]	Loss: 0.5456	LR: 0.020000
Training Epoch: 26 [9472/46200]	Loss: 0.6060	LR: 0.020000
Training Epoch: 26 [9728/46200]	Loss: 0.4997	LR: 0.020000
Training Epoch: 26 [9984/46200]	Loss: 0.4912	LR: 0.020000
Training Epoch: 26 [10240/46200]	Loss: 0.6345	LR: 0.020000
Training Epoch: 26 [10496/46200]	Loss: 0.5182	LR: 0.020000
Training Epoch: 26 [10752/46200]	Loss: 0.5782	LR: 0.020000
Training Epoch: 26 [11008/46200]	Loss: 0.5439	LR: 0.020000
Training Epoch: 26 [11264/46200]	Loss: 0.5621	LR: 0.020000
Training Epoch: 26 [11520/46200]	Loss: 0.5917	LR: 0.020000
Training Epoch: 26 [11776/46200]	Loss: 0.5885	LR: 0.020000
Training Epoch: 26 [12032/46200]	Loss: 0.5097	LR: 0.020000
Training Epoch: 26 [12288/46200]	Loss: 0.5313	LR: 0.020000
Training Epoch: 26 [12544/46200]	Loss: 0.5646	LR: 0.020000
Training Epoch: 26 [12800/46200]	Loss: 0.5722	LR: 0.020000
Training Epoch: 26 [13056/46200]	Loss: 0.5261	LR: 0.020000
Training Epoch: 26 [13312/46200]	Loss: 0.4328	LR: 0.020000
Training Epoch: 26 [13568/46200]	Loss: 0.6035	LR: 0.020000
Training Epoch: 26 [13824/46200]	Loss: 0.4482	LR: 0.020000
Training Epoch: 26 [14080/46200]	Loss: 0.5160	LR: 0.020000
Training Epoch: 26 [14336/46200]	Loss: 0.5232	LR: 0.020000
Training Epoch: 26 [14592/46200]	Loss: 0.4915	LR: 0.020000
Training Epoch: 26 [14848/46200]	Loss: 0.6146	LR: 0.020000
Training Epoch: 26 [15104/46200]	Loss: 0.6325	LR: 0.020000
Training Epoch: 26 [15360/46200]	Loss: 0.5123	LR: 0.020000
Training Epoch: 26 [15616/46200]	Loss: 0.4981	LR: 0.020000
Training Epoch: 26 [15872/46200]	Loss: 0.4537	LR: 0.020000
Training Epoch: 26 [16128/46200]	Loss: 0.5223	LR: 0.020000
Training Epoch: 26 [16384/46200]	Loss: 0.5762	LR: 0.020000
Training Epoch: 26 [16640/46200]	Loss: 0.6992	LR: 0.020000
Training Epoch: 26 [16896/46200]	Loss: 0.5103	LR: 0.020000
Training Epoch: 26 [17152/46200]	Loss: 0.5662	LR: 0.020000
Training Epoch: 26 [17408/46200]	Loss: 0.5666	LR: 0.020000
Training Epoch: 26 [17664/46200]	Loss: 0.6085	LR: 0.020000
Training Epoch: 26 [17920/46200]	Loss: 0.5278	LR: 0.020000
Training Epoch: 26 [18176/46200]	Loss: 0.5036	LR: 0.020000
Training Epoch: 26 [18432/46200]	Loss: 0.5766	LR: 0.020000
Training Epoch: 26 [18688/46200]	Loss: 0.5874	LR: 0.020000
Training Epoch: 26 [18944/46200]	Loss: 0.5576	LR: 0.020000
Training Epoch: 26 [19200/46200]	Loss: 0.5362	LR: 0.020000
Training Epoch: 26 [19456/46200]	Loss: 0.5808	LR: 0.020000
Training Epoch: 26 [19712/46200]	Loss: 0.5945	LR: 0.020000
Training Epoch: 26 [19968/46200]	Loss: 0.5820	LR: 0.020000
Training Epoch: 26 [20224/46200]	Loss: 0.6049	LR: 0.020000
Training Epoch: 26 [20480/46200]	Loss: 0.4263	LR: 0.020000
Training Epoch: 26 [20736/46200]	Loss: 0.5234	LR: 0.020000
Training Epoch: 26 [20992/46200]	Loss: 0.4986	LR: 0.020000
Training Epoch: 26 [21248/46200]	Loss: 0.5999	LR: 0.020000
Training Epoch: 26 [21504/46200]	Loss: 0.4670	LR: 0.020000
Training Epoch: 26 [21760/46200]	Loss: 0.6383	LR: 0.020000
Training Epoch: 26 [22016/46200]	Loss: 0.6246	LR: 0.020000
Training Epoch: 26 [22272/46200]	Loss: 0.4675	LR: 0.020000
Training Epoch: 26 [22528/46200]	Loss: 0.6240	LR: 0.020000
Training Epoch: 26 [22784/46200]	Loss: 0.6214	LR: 0.020000
Training Epoch: 26 [23040/46200]	Loss: 0.4864	LR: 0.020000
Training Epoch: 26 [23296/46200]	Loss: 0.5374	LR: 0.020000
Training Epoch: 26 [23552/46200]	Loss: 0.5306	LR: 0.020000
Training Epoch: 26 [23808/46200]	Loss: 0.5887	LR: 0.020000
Training Epoch: 26 [24064/46200]	Loss: 0.5539	LR: 0.020000
Training Epoch: 26 [24320/46200]	Loss: 0.4960	LR: 0.020000
Training Epoch: 26 [24576/46200]	Loss: 0.5884	LR: 0.020000
Training Epoch: 26 [24832/46200]	Loss: 0.5101	LR: 0.020000
Training Epoch: 26 [25088/46200]	Loss: 0.4176	LR: 0.020000
Training Epoch: 26 [25344/46200]	Loss: 0.5078	LR: 0.020000
Training Epoch: 26 [25600/46200]	Loss: 0.5759	LR: 0.020000
Training Epoch: 26 [25856/46200]	Loss: 0.5160	LR: 0.020000
Training Epoch: 26 [26112/46200]	Loss: 0.4599	LR: 0.020000
Training Epoch: 26 [26368/46200]	Loss: 0.5571	LR: 0.020000
Training Epoch: 26 [26624/46200]	Loss: 0.4777	LR: 0.020000
Training Epoch: 26 [26880/46200]	Loss: 0.4133	LR: 0.020000
Training Epoch: 26 [27136/46200]	Loss: 0.5400	LR: 0.020000
Training Epoch: 26 [27392/46200]	Loss: 0.5049	LR: 0.020000
Training Epoch: 26 [27648/46200]	Loss: 0.5093	LR: 0.020000
Training Epoch: 26 [27904/46200]	Loss: 0.5362	LR: 0.020000
Training Epoch: 26 [28160/46200]	Loss: 0.5228	LR: 0.020000
Training Epoch: 26 [28416/46200]	Loss: 0.5472	LR: 0.020000
Training Epoch: 26 [28672/46200]	Loss: 0.4684	LR: 0.020000
Training Epoch: 26 [28928/46200]	Loss: 0.6275	LR: 0.020000
Training Epoch: 26 [29184/46200]	Loss: 0.5295	LR: 0.020000
Training Epoch: 26 [29440/46200]	Loss: 0.5674	LR: 0.020000
Training Epoch: 26 [29696/46200]	Loss: 0.5101	LR: 0.020000
Training Epoch: 26 [29952/46200]	Loss: 0.5248	LR: 0.020000
Training Epoch: 26 [30208/46200]	Loss: 0.5398	LR: 0.020000
Training Epoch: 26 [30464/46200]	Loss: 0.4743	LR: 0.020000
Training Epoch: 26 [30720/46200]	Loss: 0.5582	LR: 0.020000
Training Epoch: 26 [30976/46200]	Loss: 0.4985	LR: 0.020000
Training Epoch: 26 [31232/46200]	Loss: 0.5148	LR: 0.020000
Training Epoch: 26 [31488/46200]	Loss: 0.5163	LR: 0.020000
Training Epoch: 26 [31744/46200]	Loss: 0.5452	LR: 0.020000
Training Epoch: 26 [32000/46200]	Loss: 0.5022	LR: 0.020000
Training Epoch: 26 [32256/46200]	Loss: 0.5428	LR: 0.020000
Training Epoch: 26 [32512/46200]	Loss: 0.5261	LR: 0.020000
Training Epoch: 26 [32768/46200]	Loss: 0.5574	LR: 0.020000
Training Epoch: 26 [33024/46200]	Loss: 0.6771	LR: 0.020000
Training Epoch: 26 [33280/46200]	Loss: 0.6569	LR: 0.020000
Training Epoch: 26 [33536/46200]	Loss: 0.5701	LR: 0.020000
Training Epoch: 26 [33792/46200]	Loss: 0.5421	LR: 0.020000
Training Epoch: 26 [34048/46200]	Loss: 0.4598	LR: 0.020000
Training Epoch: 26 [34304/46200]	Loss: 0.5506	LR: 0.020000
Training Epoch: 26 [34560/46200]	Loss: 0.5215	LR: 0.020000
Training Epoch: 26 [34816/46200]	Loss: 0.5603	LR: 0.020000
Training Epoch: 26 [35072/46200]	Loss: 0.5937	LR: 0.020000
Training Epoch: 26 [35328/46200]	Loss: 0.5036	LR: 0.020000
Training Epoch: 26 [35584/46200]	Loss: 0.4921	LR: 0.020000
Training Epoch: 26 [35840/46200]	Loss: 0.6380	LR: 0.020000
Training Epoch: 26 [36096/46200]	Loss: 0.5845	LR: 0.020000
Training Epoch: 26 [36352/46200]	Loss: 0.4834	LR: 0.020000
Training Epoch: 26 [36608/46200]	Loss: 0.5296	LR: 0.020000
Training Epoch: 26 [36864/46200]	Loss: 0.5488	LR: 0.020000
Training Epoch: 26 [37120/46200]	Loss: 0.5852	LR: 0.020000
Training Epoch: 26 [37376/46200]	Loss: 0.5489	LR: 0.020000
Training Epoch: 26 [37632/46200]	Loss: 0.5849	LR: 0.020000
Training Epoch: 26 [37888/46200]	Loss: 0.6342	LR: 0.020000
Training Epoch: 26 [38144/46200]	Loss: 0.5500	LR: 0.020000
Training Epoch: 26 [38400/46200]	Loss: 0.5388	LR: 0.020000
Training Epoch: 26 [38656/46200]	Loss: 0.6119	LR: 0.020000
Training Epoch: 26 [38912/46200]	Loss: 0.5441	LR: 0.020000
Training Epoch: 26 [39168/46200]	Loss: 0.5366	LR: 0.020000
Training Epoch: 26 [39424/46200]	Loss: 0.5306	LR: 0.020000
Training Epoch: 26 [39680/46200]	Loss: 0.6176	LR: 0.020000
Training Epoch: 26 [39936/46200]	Loss: 0.6098	LR: 0.020000
Training Epoch: 26 [40192/46200]	Loss: 0.6108	LR: 0.020000
Training Epoch: 26 [40448/46200]	Loss: 0.6792	LR: 0.020000
Training Epoch: 26 [40704/46200]	Loss: 0.5294	LR: 0.020000
Training Epoch: 26 [40960/46200]	Loss: 0.6313	LR: 0.020000
Training Epoch: 26 [41216/46200]	Loss: 0.5635	LR: 0.020000
Training Epoch: 26 [41472/46200]	Loss: 0.5827	LR: 0.020000
Training Epoch: 26 [41728/46200]	Loss: 0.4635	LR: 0.020000
Training Epoch: 26 [41984/46200]	Loss: 0.5618	LR: 0.020000
Training Epoch: 26 [42240/46200]	Loss: 0.6221	LR: 0.020000
Training Epoch: 26 [42496/46200]	Loss: 0.6168	LR: 0.020000
Training Epoch: 26 [42752/46200]	Loss: 0.5960	LR: 0.020000
Training Epoch: 26 [43008/46200]	Loss: 0.5844	LR: 0.020000
Training Epoch: 26 [43264/46200]	Loss: 0.5143	LR: 0.020000
Training Epoch: 26 [43520/46200]	Loss: 0.6092	LR: 0.020000
Training Epoch: 26 [43776/46200]	Loss: 0.5899	LR: 0.020000
Training Epoch: 26 [44032/46200]	Loss: 0.6030	LR: 0.020000
Training Epoch: 26 [44288/46200]	Loss: 0.5851	LR: 0.020000
Training Epoch: 26 [44544/46200]	Loss: 0.5310	LR: 0.020000
Training Epoch: 26 [44800/46200]	Loss: 0.5717	LR: 0.020000
Training Epoch: 26 [45056/46200]	Loss: 0.6183	LR: 0.020000
Training Epoch: 26 [45312/46200]	Loss: 0.5544	LR: 0.020000
Training Epoch: 26 [45568/46200]	Loss: 0.5686	LR: 0.020000
Training Epoch: 26 [45824/46200]	Loss: 0.5447	LR: 0.020000
Training Epoch: 26 [46080/46200]	Loss: 0.6410	LR: 0.020000
Training Epoch: 26 [46200/46200]	Loss: 0.5049	LR: 0.020000
Epoch 26 - Average Train Loss: 0.5465, Train Accuracy: 0.8220
Epoch 26 training time consumed: 25.36s
Evaluating Network.....
Test set: Epoch: 26, Average loss: 0.0039, Accuracy: 0.7250, Time consumed:0.88s
Training Epoch: 27 [256/46200]	Loss: 0.5188	LR: 0.020000
Training Epoch: 27 [512/46200]	Loss: 0.4831	LR: 0.020000
Training Epoch: 27 [768/46200]	Loss: 0.5326	LR: 0.020000
Training Epoch: 27 [1024/46200]	Loss: 0.4993	LR: 0.020000
Training Epoch: 27 [1280/46200]	Loss: 0.4602	LR: 0.020000
Training Epoch: 27 [1536/46200]	Loss: 0.5556	LR: 0.020000
Training Epoch: 27 [1792/46200]	Loss: 0.4863	LR: 0.020000
Training Epoch: 27 [2048/46200]	Loss: 0.5428	LR: 0.020000
Training Epoch: 27 [2304/46200]	Loss: 0.5588	LR: 0.020000
Training Epoch: 27 [2560/46200]	Loss: 0.4729	LR: 0.020000
Training Epoch: 27 [2816/46200]	Loss: 0.5188	LR: 0.020000
Training Epoch: 27 [3072/46200]	Loss: 0.4449	LR: 0.020000
Training Epoch: 27 [3328/46200]	Loss: 0.5498	LR: 0.020000
Training Epoch: 27 [3584/46200]	Loss: 0.5090	LR: 0.020000
Training Epoch: 27 [3840/46200]	Loss: 0.5120	LR: 0.020000
Training Epoch: 27 [4096/46200]	Loss: 0.5223	LR: 0.020000
Training Epoch: 27 [4352/46200]	Loss: 0.5398	LR: 0.020000
Training Epoch: 27 [4608/46200]	Loss: 0.4769	LR: 0.020000
Training Epoch: 27 [4864/46200]	Loss: 0.5127	LR: 0.020000
Training Epoch: 27 [5120/46200]	Loss: 0.5087	LR: 0.020000
Training Epoch: 27 [5376/46200]	Loss: 0.5111	LR: 0.020000
Training Epoch: 27 [5632/46200]	Loss: 0.5477	LR: 0.020000
Training Epoch: 27 [5888/46200]	Loss: 0.4728	LR: 0.020000
Training Epoch: 27 [6144/46200]	Loss: 0.5848	LR: 0.020000
Training Epoch: 27 [6400/46200]	Loss: 0.5292	LR: 0.020000
Training Epoch: 27 [6656/46200]	Loss: 0.5422	LR: 0.020000
Training Epoch: 27 [6912/46200]	Loss: 0.4671	LR: 0.020000
Training Epoch: 27 [7168/46200]	Loss: 0.6045	LR: 0.020000
Training Epoch: 27 [7424/46200]	Loss: 0.5117	LR: 0.020000
Training Epoch: 27 [7680/46200]	Loss: 0.6091	LR: 0.020000
Training Epoch: 27 [7936/46200]	Loss: 0.4466	LR: 0.020000
Training Epoch: 27 [8192/46200]	Loss: 0.5559	LR: 0.020000
Training Epoch: 27 [8448/46200]	Loss: 0.5384	LR: 0.020000
Training Epoch: 27 [8704/46200]	Loss: 0.5352	LR: 0.020000
Training Epoch: 27 [8960/46200]	Loss: 0.5210	LR: 0.020000
Training Epoch: 27 [9216/46200]	Loss: 0.5134	LR: 0.020000
Training Epoch: 27 [9472/46200]	Loss: 0.4899	LR: 0.020000
Training Epoch: 27 [9728/46200]	Loss: 0.5257	LR: 0.020000
Training Epoch: 27 [9984/46200]	Loss: 0.5254	LR: 0.020000
Training Epoch: 27 [10240/46200]	Loss: 0.4073	LR: 0.020000
Training Epoch: 27 [10496/46200]	Loss: 0.5645	LR: 0.020000
Training Epoch: 27 [10752/46200]	Loss: 0.4153	LR: 0.020000
Training Epoch: 27 [11008/46200]	Loss: 0.3995	LR: 0.020000
Training Epoch: 27 [11264/46200]	Loss: 0.4726	LR: 0.020000
Training Epoch: 27 [11520/46200]	Loss: 0.4480	LR: 0.020000
Training Epoch: 27 [11776/46200]	Loss: 0.5175	LR: 0.020000
Training Epoch: 27 [12032/46200]	Loss: 0.5069	LR: 0.020000
Training Epoch: 27 [12288/46200]	Loss: 0.4985	LR: 0.020000
Training Epoch: 27 [12544/46200]	Loss: 0.5495	LR: 0.020000
Training Epoch: 27 [12800/46200]	Loss: 0.4375	LR: 0.020000
Training Epoch: 27 [13056/46200]	Loss: 0.4523	LR: 0.020000
Training Epoch: 27 [13312/46200]	Loss: 0.5091	LR: 0.020000
Training Epoch: 27 [13568/46200]	Loss: 0.5385	LR: 0.020000
Training Epoch: 27 [13824/46200]	Loss: 0.5078	LR: 0.020000
Training Epoch: 27 [14080/46200]	Loss: 0.4094	LR: 0.020000
Training Epoch: 27 [14336/46200]	Loss: 0.5027	LR: 0.020000
Training Epoch: 27 [14592/46200]	Loss: 0.5600	LR: 0.020000
Training Epoch: 27 [14848/46200]	Loss: 0.5295	LR: 0.020000
Training Epoch: 27 [15104/46200]	Loss: 0.5549	LR: 0.020000
Training Epoch: 27 [15360/46200]	Loss: 0.5548	LR: 0.020000
Training Epoch: 27 [15616/46200]	Loss: 0.5002	LR: 0.020000
Training Epoch: 27 [15872/46200]	Loss: 0.5578	LR: 0.020000
Training Epoch: 27 [16128/46200]	Loss: 0.5009	LR: 0.020000
Training Epoch: 27 [16384/46200]	Loss: 0.4832	LR: 0.020000
Training Epoch: 27 [16640/46200]	Loss: 0.5585	LR: 0.020000
Training Epoch: 27 [16896/46200]	Loss: 0.5512	LR: 0.020000
Training Epoch: 27 [17152/46200]	Loss: 0.5325	LR: 0.020000
Training Epoch: 27 [17408/46200]	Loss: 0.4742	LR: 0.020000
Training Epoch: 27 [17664/46200]	Loss: 0.5520	LR: 0.020000
Training Epoch: 27 [17920/46200]	Loss: 0.5349	LR: 0.020000
Training Epoch: 27 [18176/46200]	Loss: 0.4870	LR: 0.020000
Training Epoch: 27 [18432/46200]	Loss: 0.5305	LR: 0.020000
Training Epoch: 27 [18688/46200]	Loss: 0.4904	LR: 0.020000
Training Epoch: 27 [18944/46200]	Loss: 0.5461	LR: 0.020000
Training Epoch: 27 [19200/46200]	Loss: 0.6158	LR: 0.020000
Training Epoch: 27 [19456/46200]	Loss: 0.4957	LR: 0.020000
Training Epoch: 27 [19712/46200]	Loss: 0.5752	LR: 0.020000
Training Epoch: 27 [19968/46200]	Loss: 0.5043	LR: 0.020000
Training Epoch: 27 [20224/46200]	Loss: 0.5468	LR: 0.020000
Training Epoch: 27 [20480/46200]	Loss: 0.3981	LR: 0.020000
Training Epoch: 27 [20736/46200]	Loss: 0.7859	LR: 0.020000
Training Epoch: 27 [20992/46200]	Loss: 0.5779	LR: 0.020000
Training Epoch: 27 [21248/46200]	Loss: 0.6018	LR: 0.020000
Training Epoch: 27 [21504/46200]	Loss: 0.5666	LR: 0.020000
Training Epoch: 27 [21760/46200]	Loss: 0.6018	LR: 0.020000
Training Epoch: 27 [22016/46200]	Loss: 0.5525	LR: 0.020000
Training Epoch: 27 [22272/46200]	Loss: 0.5070	LR: 0.020000
Training Epoch: 27 [22528/46200]	Loss: 0.4765	LR: 0.020000
Training Epoch: 27 [22784/46200]	Loss: 0.5018	LR: 0.020000
Training Epoch: 27 [23040/46200]	Loss: 0.5917	LR: 0.020000
Training Epoch: 27 [23296/46200]	Loss: 0.5717	LR: 0.020000
Training Epoch: 27 [23552/46200]	Loss: 0.6588	LR: 0.020000
Training Epoch: 27 [23808/46200]	Loss: 0.6684	LR: 0.020000
Training Epoch: 27 [24064/46200]	Loss: 0.5566	LR: 0.020000
Training Epoch: 27 [24320/46200]	Loss: 0.5216	LR: 0.020000
Training Epoch: 27 [24576/46200]	Loss: 0.6703	LR: 0.020000
Training Epoch: 27 [24832/46200]	Loss: 0.5170	LR: 0.020000
Training Epoch: 27 [25088/46200]	Loss: 0.5657	LR: 0.020000
Training Epoch: 27 [25344/46200]	Loss: 0.6008	LR: 0.020000
Training Epoch: 27 [25600/46200]	Loss: 0.5915	LR: 0.020000
Training Epoch: 27 [25856/46200]	Loss: 0.5887	LR: 0.020000
Training Epoch: 27 [26112/46200]	Loss: 0.5983	LR: 0.020000
Training Epoch: 27 [26368/46200]	Loss: 0.4900	LR: 0.020000
Training Epoch: 27 [26624/46200]	Loss: 0.6204	LR: 0.020000
Training Epoch: 27 [26880/46200]	Loss: 0.6505	LR: 0.020000
Training Epoch: 27 [27136/46200]	Loss: 0.5651	LR: 0.020000
Training Epoch: 27 [27392/46200]	Loss: 0.6410	LR: 0.020000
Training Epoch: 27 [27648/46200]	Loss: 0.4624	LR: 0.020000
Training Epoch: 27 [27904/46200]	Loss: 0.5210	LR: 0.020000
Training Epoch: 27 [28160/46200]	Loss: 0.5146	LR: 0.020000
Training Epoch: 27 [28416/46200]	Loss: 0.5587	LR: 0.020000
Training Epoch: 27 [28672/46200]	Loss: 0.4962	LR: 0.020000
Training Epoch: 27 [28928/46200]	Loss: 0.5035	LR: 0.020000
Training Epoch: 27 [29184/46200]	Loss: 0.6358	LR: 0.020000
Training Epoch: 27 [29440/46200]	Loss: 0.4571	LR: 0.020000
Training Epoch: 27 [29696/46200]	Loss: 0.6039	LR: 0.020000
Training Epoch: 27 [29952/46200]	Loss: 0.5337	LR: 0.020000
Training Epoch: 27 [30208/46200]	Loss: 0.5625	LR: 0.020000
Training Epoch: 27 [30464/46200]	Loss: 0.5326	LR: 0.020000
Training Epoch: 27 [30720/46200]	Loss: 0.5594	LR: 0.020000
Training Epoch: 27 [30976/46200]	Loss: 0.5054	LR: 0.020000
Training Epoch: 27 [31232/46200]	Loss: 0.6106	LR: 0.020000
Training Epoch: 27 [31488/46200]	Loss: 0.5597	LR: 0.020000
Training Epoch: 27 [31744/46200]	Loss: 0.5878	LR: 0.020000
Training Epoch: 27 [32000/46200]	Loss: 0.6317	LR: 0.020000
Training Epoch: 27 [32256/46200]	Loss: 0.6011	LR: 0.020000
Training Epoch: 27 [32512/46200]	Loss: 0.4655	LR: 0.020000
Training Epoch: 27 [32768/46200]	Loss: 0.6362	LR: 0.020000
Training Epoch: 27 [33024/46200]	Loss: 0.5154	LR: 0.020000
Training Epoch: 27 [33280/46200]	Loss: 0.4754	LR: 0.020000
Training Epoch: 27 [33536/46200]	Loss: 0.5773	LR: 0.020000
Training Epoch: 27 [33792/46200]	Loss: 0.4969	LR: 0.020000
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Training Epoch: 27 [34304/46200]	Loss: 0.5473	LR: 0.020000
Training Epoch: 27 [34560/46200]	Loss: 0.5384	LR: 0.020000
Training Epoch: 27 [34816/46200]	Loss: 0.5120	LR: 0.020000
Training Epoch: 27 [35072/46200]	Loss: 0.4649	LR: 0.020000
Training Epoch: 27 [35328/46200]	Loss: 0.5268	LR: 0.020000
Training Epoch: 27 [35584/46200]	Loss: 0.4915	LR: 0.020000
Training Epoch: 27 [35840/46200]	Loss: 0.5253	LR: 0.020000
Training Epoch: 27 [36096/46200]	Loss: 0.6333	LR: 0.020000
Training Epoch: 27 [36352/46200]	Loss: 0.6462	LR: 0.020000
Training Epoch: 27 [36608/46200]	Loss: 0.5514	LR: 0.020000
Training Epoch: 27 [36864/46200]	Loss: 0.5231	LR: 0.020000
Training Epoch: 27 [37120/46200]	Loss: 0.6714	LR: 0.020000
Training Epoch: 27 [37376/46200]	Loss: 0.6825	LR: 0.020000
Training Epoch: 27 [37632/46200]	Loss: 0.5339	LR: 0.020000
Training Epoch: 27 [37888/46200]	Loss: 0.5824	LR: 0.020000
Training Epoch: 27 [38144/46200]	Loss: 0.6007	LR: 0.020000
Training Epoch: 27 [38400/46200]	Loss: 0.5074	LR: 0.020000
Training Epoch: 27 [38656/46200]	Loss: 0.4973	LR: 0.020000
Training Epoch: 27 [38912/46200]	Loss: 0.4828	LR: 0.020000
Training Epoch: 27 [39168/46200]	Loss: 0.4795	LR: 0.020000
Training Epoch: 27 [39424/46200]	Loss: 0.5709	LR: 0.020000
Training Epoch: 27 [39680/46200]	Loss: 0.5667	LR: 0.020000
Training Epoch: 27 [39936/46200]	Loss: 0.6133	LR: 0.020000
Training Epoch: 27 [40192/46200]	Loss: 0.7307	LR: 0.020000
Training Epoch: 27 [40448/46200]	Loss: 0.6066	LR: 0.020000
Training Epoch: 27 [40704/46200]	Loss: 0.4796	LR: 0.020000
Training Epoch: 27 [40960/46200]	Loss: 0.5950	LR: 0.020000
Training Epoch: 27 [41216/46200]	Loss: 0.4273	LR: 0.020000
Training Epoch: 27 [41472/46200]	Loss: 0.5220	LR: 0.020000
Training Epoch: 27 [41728/46200]	Loss: 0.6587	LR: 0.020000
Training Epoch: 27 [41984/46200]	Loss: 0.4791	LR: 0.020000
Training Epoch: 27 [42240/46200]	Loss: 0.5886	LR: 0.020000
Training Epoch: 27 [42496/46200]	Loss: 0.5882	LR: 0.020000
Training Epoch: 27 [42752/46200]	Loss: 0.5416	LR: 0.020000
Training Epoch: 27 [43008/46200]	Loss: 0.4573	LR: 0.020000
Training Epoch: 27 [43264/46200]	Loss: 0.5560	LR: 0.020000
Training Epoch: 27 [43520/46200]	Loss: 0.4379	LR: 0.020000
Training Epoch: 27 [43776/46200]	Loss: 0.5916	LR: 0.020000
Training Epoch: 27 [44032/46200]	Loss: 0.6100	LR: 0.020000
Training Epoch: 27 [44288/46200]	Loss: 0.5733	LR: 0.020000
Training Epoch: 27 [44544/46200]	Loss: 0.5448	LR: 0.020000
Training Epoch: 27 [44800/46200]	Loss: 0.5418	LR: 0.020000
Training Epoch: 27 [45056/46200]	Loss: 0.5695	LR: 0.020000
Training Epoch: 27 [45312/46200]	Loss: 0.4494	LR: 0.020000
Training Epoch: 27 [45568/46200]	Loss: 0.5745	LR: 0.020000
Training Epoch: 27 [45824/46200]	Loss: 0.5696	LR: 0.020000
Training Epoch: 27 [46080/46200]	Loss: 0.5745	LR: 0.020000
Training Epoch: 27 [46200/46200]	Loss: 0.7184	LR: 0.020000
Epoch 27 - Average Train Loss: 0.5393, Train Accuracy: 0.8258
Epoch 27 training time consumed: 25.43s
Evaluating Network.....
Test set: Epoch: 27, Average loss: 0.0041, Accuracy: 0.7175, Time consumed:0.93s
Training Epoch: 28 [256/46200]	Loss: 0.4747	LR: 0.020000
Training Epoch: 28 [512/46200]	Loss: 0.4298	LR: 0.020000
Training Epoch: 28 [768/46200]	Loss: 0.4646	LR: 0.020000
Training Epoch: 28 [1024/46200]	Loss: 0.5027	LR: 0.020000
Training Epoch: 28 [1280/46200]	Loss: 0.5053	LR: 0.020000
Training Epoch: 28 [1536/46200]	Loss: 0.4962	LR: 0.020000
Training Epoch: 28 [1792/46200]	Loss: 0.4585	LR: 0.020000
Training Epoch: 28 [2048/46200]	Loss: 0.4890	LR: 0.020000
Training Epoch: 28 [2304/46200]	Loss: 0.4633	LR: 0.020000
Training Epoch: 28 [2560/46200]	Loss: 0.6271	LR: 0.020000
Training Epoch: 28 [2816/46200]	Loss: 0.5425	LR: 0.020000
Training Epoch: 28 [3072/46200]	Loss: 0.5206	LR: 0.020000
Training Epoch: 28 [3328/46200]	Loss: 0.5523	LR: 0.020000
Training Epoch: 28 [3584/46200]	Loss: 0.6036	LR: 0.020000
Training Epoch: 28 [3840/46200]	Loss: 0.4993	LR: 0.020000
Training Epoch: 28 [4096/46200]	Loss: 0.5504	LR: 0.020000
Training Epoch: 28 [4352/46200]	Loss: 0.5489	LR: 0.020000
Training Epoch: 28 [4608/46200]	Loss: 0.5227	LR: 0.020000
Training Epoch: 28 [4864/46200]	Loss: 0.5393	LR: 0.020000
Training Epoch: 28 [5120/46200]	Loss: 0.4765	LR: 0.020000
Training Epoch: 28 [5376/46200]	Loss: 0.4913	LR: 0.020000
Training Epoch: 28 [5632/46200]	Loss: 0.4490	LR: 0.020000
Training Epoch: 28 [5888/46200]	Loss: 0.4469	LR: 0.020000
Training Epoch: 28 [6144/46200]	Loss: 0.4282	LR: 0.020000
Training Epoch: 28 [6400/46200]	Loss: 0.5935	LR: 0.020000
Training Epoch: 28 [6656/46200]	Loss: 0.5472	LR: 0.020000
Training Epoch: 28 [6912/46200]	Loss: 0.4775	LR: 0.020000
Training Epoch: 28 [7168/46200]	Loss: 0.4367	LR: 0.020000
Training Epoch: 28 [7424/46200]	Loss: 0.6233	LR: 0.020000
Training Epoch: 28 [7680/46200]	Loss: 0.5668	LR: 0.020000
Training Epoch: 28 [7936/46200]	Loss: 0.4868	LR: 0.020000
Training Epoch: 28 [8192/46200]	Loss: 0.4178	LR: 0.020000
Training Epoch: 28 [8448/46200]	Loss: 0.4901	LR: 0.020000
Training Epoch: 28 [8704/46200]	Loss: 0.5713	LR: 0.020000
Training Epoch: 28 [8960/46200]	Loss: 0.5893	LR: 0.020000
Training Epoch: 28 [9216/46200]	Loss: 0.5534	LR: 0.020000
Training Epoch: 28 [9472/46200]	Loss: 0.5863	LR: 0.020000
Training Epoch: 28 [9728/46200]	Loss: 0.4471	LR: 0.020000
Training Epoch: 28 [9984/46200]	Loss: 0.5170	LR: 0.020000
Training Epoch: 28 [10240/46200]	Loss: 0.5018	LR: 0.020000
Training Epoch: 28 [10496/46200]	Loss: 0.5063	LR: 0.020000
Training Epoch: 28 [10752/46200]	Loss: 0.4674	LR: 0.020000
Training Epoch: 28 [11008/46200]	Loss: 0.5842	LR: 0.020000
Training Epoch: 28 [11264/46200]	Loss: 0.5674	LR: 0.020000
Training Epoch: 28 [11520/46200]	Loss: 0.5117	LR: 0.020000
Training Epoch: 28 [11776/46200]	Loss: 0.5678	LR: 0.020000
Training Epoch: 28 [12032/46200]	Loss: 0.6019	LR: 0.020000
Training Epoch: 28 [12288/46200]	Loss: 0.4301	LR: 0.020000
Training Epoch: 28 [12544/46200]	Loss: 0.5514	LR: 0.020000
Training Epoch: 28 [12800/46200]	Loss: 0.5011	LR: 0.020000
Training Epoch: 28 [13056/46200]	Loss: 0.4286	LR: 0.020000
Training Epoch: 28 [13312/46200]	Loss: 0.3649	LR: 0.020000
Training Epoch: 28 [13568/46200]	Loss: 0.6496	LR: 0.020000
Training Epoch: 28 [13824/46200]	Loss: 0.4669	LR: 0.020000
Training Epoch: 28 [14080/46200]	Loss: 0.5253	LR: 0.020000
Training Epoch: 28 [14336/46200]	Loss: 0.4496	LR: 0.020000
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Training Epoch: 28 [15616/46200]	Loss: 0.4693	LR: 0.020000
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Training Epoch: 28 [16128/46200]	Loss: 0.5095	LR: 0.020000
Training Epoch: 28 [16384/46200]	Loss: 0.4515	LR: 0.020000
Training Epoch: 28 [16640/46200]	Loss: 0.4410	LR: 0.020000
Training Epoch: 28 [16896/46200]	Loss: 0.5162	LR: 0.020000
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Training Epoch: 28 [17920/46200]	Loss: 0.4918	LR: 0.020000
Training Epoch: 28 [18176/46200]	Loss: 0.6000	LR: 0.020000
Training Epoch: 28 [18432/46200]	Loss: 0.5569	LR: 0.020000
Training Epoch: 28 [18688/46200]	Loss: 0.3968	LR: 0.020000
Training Epoch: 28 [18944/46200]	Loss: 0.6533	LR: 0.020000
Training Epoch: 28 [19200/46200]	Loss: 0.5075	LR: 0.020000
Training Epoch: 28 [19456/46200]	Loss: 0.5740	LR: 0.020000
Training Epoch: 28 [19712/46200]	Loss: 0.3927	LR: 0.020000
Training Epoch: 28 [19968/46200]	Loss: 0.5621	LR: 0.020000
Training Epoch: 28 [20224/46200]	Loss: 0.6195	LR: 0.020000
Training Epoch: 28 [20480/46200]	Loss: 0.5268	LR: 0.020000
Training Epoch: 28 [20736/46200]	Loss: 0.5561	LR: 0.020000
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Training Epoch: 28 [21248/46200]	Loss: 0.6089	LR: 0.020000
Training Epoch: 28 [21504/46200]	Loss: 0.5619	LR: 0.020000
Training Epoch: 28 [21760/46200]	Loss: 0.5313	LR: 0.020000
Training Epoch: 28 [22016/46200]	Loss: 0.6174	LR: 0.020000
Training Epoch: 28 [22272/46200]	Loss: 0.6525	LR: 0.020000
Training Epoch: 28 [22528/46200]	Loss: 0.5074	LR: 0.020000
Training Epoch: 28 [22784/46200]	Loss: 0.5644	LR: 0.020000
Training Epoch: 28 [23040/46200]	Loss: 0.5869	LR: 0.020000
Training Epoch: 28 [23296/46200]	Loss: 0.6136	LR: 0.020000
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Training Epoch: 28 [26368/46200]	Loss: 0.5160	LR: 0.020000
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Training Epoch: 28 [26880/46200]	Loss: 0.6485	LR: 0.020000
Training Epoch: 28 [27136/46200]	Loss: 0.5187	LR: 0.020000
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Training Epoch: 28 [28160/46200]	Loss: 0.6212	LR: 0.020000
Training Epoch: 28 [28416/46200]	Loss: 0.4719	LR: 0.020000
Training Epoch: 28 [28672/46200]	Loss: 0.5786	LR: 0.020000
Training Epoch: 28 [28928/46200]	Loss: 0.4018	LR: 0.020000
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Training Epoch: 28 [29440/46200]	Loss: 0.5014	LR: 0.020000
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Training Epoch: 28 [30976/46200]	Loss: 0.6352	LR: 0.020000
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Training Epoch: 28 [33536/46200]	Loss: 0.5977	LR: 0.020000
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Training Epoch: 28 [34304/46200]	Loss: 0.5611	LR: 0.020000
Training Epoch: 28 [34560/46200]	Loss: 0.4646	LR: 0.020000
Training Epoch: 28 [34816/46200]	Loss: 0.5740	LR: 0.020000
Training Epoch: 28 [35072/46200]	Loss: 0.5972	LR: 0.020000
Training Epoch: 28 [35328/46200]	Loss: 0.5552	LR: 0.020000
Training Epoch: 28 [35584/46200]	Loss: 0.5731	LR: 0.020000
Training Epoch: 28 [35840/46200]	Loss: 0.4864	LR: 0.020000
Training Epoch: 28 [36096/46200]	Loss: 0.5852	LR: 0.020000
Training Epoch: 28 [36352/46200]	Loss: 0.5995	LR: 0.020000
Training Epoch: 28 [36608/46200]	Loss: 0.5155	LR: 0.020000
Training Epoch: 28 [36864/46200]	Loss: 0.4187	LR: 0.020000
Training Epoch: 28 [37120/46200]	Loss: 0.5832	LR: 0.020000
Training Epoch: 28 [37376/46200]	Loss: 0.4916	LR: 0.020000
Training Epoch: 28 [37632/46200]	Loss: 0.6142	LR: 0.020000
Training Epoch: 28 [37888/46200]	Loss: 0.5384	LR: 0.020000
Training Epoch: 28 [38144/46200]	Loss: 0.4961	LR: 0.020000
Training Epoch: 28 [38400/46200]	Loss: 0.5700	LR: 0.020000
Training Epoch: 28 [38656/46200]	Loss: 0.5578	LR: 0.020000
Training Epoch: 28 [38912/46200]	Loss: 0.5324	LR: 0.020000
Training Epoch: 28 [39168/46200]	Loss: 0.5456	LR: 0.020000
Training Epoch: 28 [39424/46200]	Loss: 0.4075	LR: 0.020000
Training Epoch: 28 [39680/46200]	Loss: 0.4918	LR: 0.020000
Training Epoch: 28 [39936/46200]	Loss: 0.5121	LR: 0.020000
Training Epoch: 28 [40192/46200]	Loss: 0.5152	LR: 0.020000
Training Epoch: 28 [40448/46200]	Loss: 0.5620	LR: 0.020000
Training Epoch: 28 [40704/46200]	Loss: 0.5811	LR: 0.020000
Training Epoch: 28 [40960/46200]	Loss: 0.5712	LR: 0.020000
Training Epoch: 28 [41216/46200]	Loss: 0.5209	LR: 0.020000
Training Epoch: 28 [41472/46200]	Loss: 0.5227	LR: 0.020000
Training Epoch: 28 [41728/46200]	Loss: 0.6324	LR: 0.020000
Training Epoch: 28 [41984/46200]	Loss: 0.5692	LR: 0.020000
Training Epoch: 28 [42240/46200]	Loss: 0.5385	LR: 0.020000
Training Epoch: 28 [42496/46200]	Loss: 0.6203	LR: 0.020000
Training Epoch: 28 [42752/46200]	Loss: 0.4844	LR: 0.020000
Training Epoch: 28 [43008/46200]	Loss: 0.5312	LR: 0.020000
Training Epoch: 28 [43264/46200]	Loss: 0.5469	LR: 0.020000
Training Epoch: 28 [43520/46200]	Loss: 0.7002	LR: 0.020000
Training Epoch: 28 [43776/46200]	Loss: 0.5777	LR: 0.020000
Training Epoch: 28 [44032/46200]	Loss: 0.5858	LR: 0.020000
Training Epoch: 28 [44288/46200]	Loss: 0.5066	LR: 0.020000
Training Epoch: 28 [44544/46200]	Loss: 0.5202	LR: 0.020000
Training Epoch: 28 [44800/46200]	Loss: 0.5652	LR: 0.020000
Training Epoch: 28 [45056/46200]	Loss: 0.6071	LR: 0.020000
Training Epoch: 28 [45312/46200]	Loss: 0.5142	LR: 0.020000
Training Epoch: 28 [45568/46200]	Loss: 0.6402	LR: 0.020000
Training Epoch: 28 [45824/46200]	Loss: 0.6589	LR: 0.020000
Training Epoch: 28 [46080/46200]	Loss: 0.5133	LR: 0.020000
Training Epoch: 28 [46200/46200]	Loss: 0.5451	LR: 0.020000
Epoch 28 - Average Train Loss: 0.5339, Train Accuracy: 0.8268
Epoch 28 training time consumed: 25.46s
Evaluating Network.....
Test set: Epoch: 28, Average loss: 0.0036, Accuracy: 0.7301, Time consumed:0.92s
Training Epoch: 29 [256/46200]	Loss: 0.4391	LR: 0.020000
Training Epoch: 29 [512/46200]	Loss: 0.4529	LR: 0.020000
Training Epoch: 29 [768/46200]	Loss: 0.5849	LR: 0.020000
Training Epoch: 29 [1024/46200]	Loss: 0.5061	LR: 0.020000
Training Epoch: 29 [1280/46200]	Loss: 0.4639	LR: 0.020000
Training Epoch: 29 [1536/46200]	Loss: 0.5451	LR: 0.020000
Training Epoch: 29 [1792/46200]	Loss: 0.4081	LR: 0.020000
Training Epoch: 29 [2048/46200]	Loss: 0.3924	LR: 0.020000
Training Epoch: 29 [2304/46200]	Loss: 0.4787	LR: 0.020000
Training Epoch: 29 [2560/46200]	Loss: 0.5593	LR: 0.020000
Training Epoch: 29 [2816/46200]	Loss: 0.5525	LR: 0.020000
Training Epoch: 29 [3072/46200]	Loss: 0.5162	LR: 0.020000
Training Epoch: 29 [3328/46200]	Loss: 0.4571	LR: 0.020000
Training Epoch: 29 [3584/46200]	Loss: 0.5187	LR: 0.020000
Training Epoch: 29 [3840/46200]	Loss: 0.4016	LR: 0.020000
Training Epoch: 29 [4096/46200]	Loss: 0.4494	LR: 0.020000
Training Epoch: 29 [4352/46200]	Loss: 0.4674	LR: 0.020000
Training Epoch: 29 [4608/46200]	Loss: 0.5452	LR: 0.020000
Training Epoch: 29 [4864/46200]	Loss: 0.5409	LR: 0.020000
Training Epoch: 29 [5120/46200]	Loss: 0.4742	LR: 0.020000
Training Epoch: 29 [5376/46200]	Loss: 0.4962	LR: 0.020000
Training Epoch: 29 [5632/46200]	Loss: 0.4783	LR: 0.020000
Training Epoch: 29 [5888/46200]	Loss: 0.5125	LR: 0.020000
Training Epoch: 29 [6144/46200]	Loss: 0.4328	LR: 0.020000
Training Epoch: 29 [6400/46200]	Loss: 0.4888	LR: 0.020000
Training Epoch: 29 [6656/46200]	Loss: 0.4856	LR: 0.020000
Training Epoch: 29 [6912/46200]	Loss: 0.5573	LR: 0.020000
Training Epoch: 29 [7168/46200]	Loss: 0.4348	LR: 0.020000
Training Epoch: 29 [7424/46200]	Loss: 0.5647	LR: 0.020000
Training Epoch: 29 [7680/46200]	Loss: 0.5466	LR: 0.020000
Training Epoch: 29 [7936/46200]	Loss: 0.5909	LR: 0.020000
Training Epoch: 29 [8192/46200]	Loss: 0.4005	LR: 0.020000
Training Epoch: 29 [8448/46200]	Loss: 0.5009	LR: 0.020000
Training Epoch: 29 [8704/46200]	Loss: 0.4784	LR: 0.020000
Training Epoch: 29 [8960/46200]	Loss: 0.4929	LR: 0.020000
Training Epoch: 29 [9216/46200]	Loss: 0.4990	LR: 0.020000
Training Epoch: 29 [9472/46200]	Loss: 0.5644	LR: 0.020000
Training Epoch: 29 [9728/46200]	Loss: 0.5017	LR: 0.020000
Training Epoch: 29 [9984/46200]	Loss: 0.5145	LR: 0.020000
Training Epoch: 29 [10240/46200]	Loss: 0.3973	LR: 0.020000
Training Epoch: 29 [10496/46200]	Loss: 0.5264	LR: 0.020000
Training Epoch: 29 [10752/46200]	Loss: 0.5911	LR: 0.020000
Training Epoch: 29 [11008/46200]	Loss: 0.4700	LR: 0.020000
Training Epoch: 29 [11264/46200]	Loss: 0.5862	LR: 0.020000
Training Epoch: 29 [11520/46200]	Loss: 0.5721	LR: 0.020000
Training Epoch: 29 [11776/46200]	Loss: 0.5385	LR: 0.020000
Training Epoch: 29 [12032/46200]	Loss: 0.4681	LR: 0.020000
Training Epoch: 29 [12288/46200]	Loss: 0.4587	LR: 0.020000
Training Epoch: 29 [12544/46200]	Loss: 0.5137	LR: 0.020000
Training Epoch: 29 [12800/46200]	Loss: 0.5575	LR: 0.020000
Training Epoch: 29 [13056/46200]	Loss: 0.5728	LR: 0.020000
Training Epoch: 29 [13312/46200]	Loss: 0.4729	LR: 0.020000
Training Epoch: 29 [13568/46200]	Loss: 0.4891	LR: 0.020000
Training Epoch: 29 [13824/46200]	Loss: 0.4514	LR: 0.020000
Training Epoch: 29 [14080/46200]	Loss: 0.4637	LR: 0.020000
Training Epoch: 29 [14336/46200]	Loss: 0.5119	LR: 0.020000
Training Epoch: 29 [14592/46200]	Loss: 0.4749	LR: 0.020000
Training Epoch: 29 [14848/46200]	Loss: 0.5016	LR: 0.020000
Training Epoch: 29 [15104/46200]	Loss: 0.5208	LR: 0.020000
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Training Epoch: 29 [15616/46200]	Loss: 0.5445	LR: 0.020000
Training Epoch: 29 [15872/46200]	Loss: 0.5119	LR: 0.020000
Training Epoch: 29 [16128/46200]	Loss: 0.5130	LR: 0.020000
Training Epoch: 29 [16384/46200]	Loss: 0.5121	LR: 0.020000
Training Epoch: 29 [16640/46200]	Loss: 0.4602	LR: 0.020000
Training Epoch: 29 [16896/46200]	Loss: 0.5146	LR: 0.020000
Training Epoch: 29 [17152/46200]	Loss: 0.5732	LR: 0.020000
Training Epoch: 29 [17408/46200]	Loss: 0.4482	LR: 0.020000
Training Epoch: 29 [17664/46200]	Loss: 0.5523	LR: 0.020000
Training Epoch: 29 [17920/46200]	Loss: 0.4816	LR: 0.020000
Training Epoch: 29 [18176/46200]	Loss: 0.5531	LR: 0.020000
Training Epoch: 29 [18432/46200]	Loss: 0.4053	LR: 0.020000
Training Epoch: 29 [18688/46200]	Loss: 0.5358	LR: 0.020000
Training Epoch: 29 [18944/46200]	Loss: 0.4851	LR: 0.020000
Training Epoch: 29 [19200/46200]	Loss: 0.4984	LR: 0.020000
Training Epoch: 29 [19456/46200]	Loss: 0.5858	LR: 0.020000
Training Epoch: 29 [19712/46200]	Loss: 0.4636	LR: 0.020000
Training Epoch: 29 [19968/46200]	Loss: 0.5038	LR: 0.020000
Training Epoch: 29 [20224/46200]	Loss: 0.4950	LR: 0.020000
Training Epoch: 29 [20480/46200]	Loss: 0.5811	LR: 0.020000
Training Epoch: 29 [20736/46200]	Loss: 0.5109	LR: 0.020000
Training Epoch: 29 [20992/46200]	Loss: 0.4998	LR: 0.020000
Training Epoch: 29 [21248/46200]	Loss: 0.4406	LR: 0.020000
Training Epoch: 29 [21504/46200]	Loss: 0.4997	LR: 0.020000
Training Epoch: 29 [21760/46200]	Loss: 0.5184	LR: 0.020000
Training Epoch: 29 [22016/46200]	Loss: 0.4373	LR: 0.020000
Training Epoch: 29 [22272/46200]	Loss: 0.5452	LR: 0.020000
Training Epoch: 29 [22528/46200]	Loss: 0.4964	LR: 0.020000
Training Epoch: 29 [22784/46200]	Loss: 0.4062	LR: 0.020000
Training Epoch: 29 [23040/46200]	Loss: 0.5723	LR: 0.020000
Training Epoch: 29 [23296/46200]	Loss: 0.5533	LR: 0.020000
Training Epoch: 29 [23552/46200]	Loss: 0.5380	LR: 0.020000
Training Epoch: 29 [23808/46200]	Loss: 0.4680	LR: 0.020000
Training Epoch: 29 [24064/46200]	Loss: 0.5245	LR: 0.020000
Training Epoch: 29 [24320/46200]	Loss: 0.5644	LR: 0.020000
Training Epoch: 29 [24576/46200]	Loss: 0.4968	LR: 0.020000
Training Epoch: 29 [24832/46200]	Loss: 0.5212	LR: 0.020000
Training Epoch: 29 [25088/46200]	Loss: 0.6709	LR: 0.020000
Training Epoch: 29 [25344/46200]	Loss: 0.6377	LR: 0.020000
Training Epoch: 29 [25600/46200]	Loss: 0.5380	LR: 0.020000
Training Epoch: 29 [25856/46200]	Loss: 0.4320	LR: 0.020000
Training Epoch: 29 [26112/46200]	Loss: 0.5218	LR: 0.020000
Training Epoch: 29 [26368/46200]	Loss: 0.5346	LR: 0.020000
Training Epoch: 29 [26624/46200]	Loss: 0.6443	LR: 0.020000
Training Epoch: 29 [26880/46200]	Loss: 0.5623	LR: 0.020000
Training Epoch: 29 [27136/46200]	Loss: 0.5915	LR: 0.020000
Training Epoch: 29 [27392/46200]	Loss: 0.4661	LR: 0.020000
Training Epoch: 29 [27648/46200]	Loss: 0.5570	LR: 0.020000
Training Epoch: 29 [27904/46200]	Loss: 0.7523	LR: 0.020000
Training Epoch: 29 [28160/46200]	Loss: 0.4785	LR: 0.020000
Training Epoch: 29 [28416/46200]	Loss: 0.5279	LR: 0.020000
Training Epoch: 29 [28672/46200]	Loss: 0.5603	LR: 0.020000
Training Epoch: 29 [28928/46200]	Loss: 0.5925	LR: 0.020000
Training Epoch: 29 [29184/46200]	Loss: 0.4867	LR: 0.020000
Training Epoch: 29 [29440/46200]	Loss: 0.5578	LR: 0.020000
Training Epoch: 29 [29696/46200]	Loss: 0.5054	LR: 0.020000
Training Epoch: 29 [29952/46200]	Loss: 0.5167	LR: 0.020000
Training Epoch: 29 [30208/46200]	Loss: 0.5416	LR: 0.020000
Training Epoch: 29 [30464/46200]	Loss: 0.5377	LR: 0.020000
Training Epoch: 29 [30720/46200]	Loss: 0.5175	LR: 0.020000
Training Epoch: 29 [30976/46200]	Loss: 0.5289	LR: 0.020000
Training Epoch: 29 [31232/46200]	Loss: 0.5683	LR: 0.020000
Training Epoch: 29 [31488/46200]	Loss: 0.5406	LR: 0.020000
Training Epoch: 29 [31744/46200]	Loss: 0.6217	LR: 0.020000
Training Epoch: 29 [32000/46200]	Loss: 0.4553	LR: 0.020000
Training Epoch: 29 [32256/46200]	Loss: 0.6743	LR: 0.020000
Training Epoch: 29 [32512/46200]	Loss: 0.4649	LR: 0.020000
Training Epoch: 29 [32768/46200]	Loss: 0.5142	LR: 0.020000
Training Epoch: 29 [33024/46200]	Loss: 0.5797	LR: 0.020000
Training Epoch: 29 [33280/46200]	Loss: 0.6434	LR: 0.020000
Training Epoch: 29 [33536/46200]	Loss: 0.6003	LR: 0.020000
Training Epoch: 29 [33792/46200]	Loss: 0.5091	LR: 0.020000
Training Epoch: 29 [34048/46200]	Loss: 0.4650	LR: 0.020000
Training Epoch: 29 [34304/46200]	Loss: 0.4741	LR: 0.020000
Training Epoch: 29 [34560/46200]	Loss: 0.5499	LR: 0.020000
Training Epoch: 29 [34816/46200]	Loss: 0.4710	LR: 0.020000
Training Epoch: 29 [35072/46200]	Loss: 0.4620	LR: 0.020000
Training Epoch: 29 [35328/46200]	Loss: 0.5185	LR: 0.020000
Training Epoch: 29 [35584/46200]	Loss: 0.5517	LR: 0.020000
Training Epoch: 29 [35840/46200]	Loss: 0.5628	LR: 0.020000
Training Epoch: 29 [36096/46200]	Loss: 0.4584	LR: 0.020000
Training Epoch: 29 [36352/46200]	Loss: 0.6099	LR: 0.020000
Training Epoch: 29 [36608/46200]	Loss: 0.4865	LR: 0.020000
Training Epoch: 29 [36864/46200]	Loss: 0.4312	LR: 0.020000
Training Epoch: 29 [37120/46200]	Loss: 0.4545	LR: 0.020000
Training Epoch: 29 [37376/46200]	Loss: 0.6228	LR: 0.020000
Training Epoch: 29 [37632/46200]	Loss: 0.6367	LR: 0.020000
Training Epoch: 29 [37888/46200]	Loss: 0.5738	LR: 0.020000
Training Epoch: 29 [38144/46200]	Loss: 0.5786	LR: 0.020000
Training Epoch: 29 [38400/46200]	Loss: 0.5107	LR: 0.020000
Training Epoch: 29 [38656/46200]	Loss: 0.5808	LR: 0.020000
Training Epoch: 29 [38912/46200]	Loss: 0.6018	LR: 0.020000
Training Epoch: 29 [39168/46200]	Loss: 0.4524	LR: 0.020000
Training Epoch: 29 [39424/46200]	Loss: 0.6275	LR: 0.020000
Training Epoch: 29 [39680/46200]	Loss: 0.4552	LR: 0.020000
Training Epoch: 29 [39936/46200]	Loss: 0.5583	LR: 0.020000
Training Epoch: 29 [40192/46200]	Loss: 0.5524	LR: 0.020000
Training Epoch: 29 [40448/46200]	Loss: 0.5428	LR: 0.020000
Training Epoch: 29 [40704/46200]	Loss: 0.4594	LR: 0.020000
Training Epoch: 29 [40960/46200]	Loss: 0.4814	LR: 0.020000
Training Epoch: 29 [41216/46200]	Loss: 0.5545	LR: 0.020000
Training Epoch: 29 [41472/46200]	Loss: 0.5709	LR: 0.020000
Training Epoch: 29 [41728/46200]	Loss: 0.5515	LR: 0.020000
Training Epoch: 29 [41984/46200]	Loss: 0.4680	LR: 0.020000
Training Epoch: 29 [42240/46200]	Loss: 0.4932	LR: 0.020000
Training Epoch: 29 [42496/46200]	Loss: 0.4802	LR: 0.020000
Training Epoch: 29 [42752/46200]	Loss: 0.4712	LR: 0.020000
Training Epoch: 29 [43008/46200]	Loss: 0.5718	LR: 0.020000
Training Epoch: 29 [43264/46200]	Loss: 0.5925	LR: 0.020000
Training Epoch: 29 [43520/46200]	Loss: 0.5090	LR: 0.020000
Training Epoch: 29 [43776/46200]	Loss: 0.5407	LR: 0.020000
Training Epoch: 29 [44032/46200]	Loss: 0.5620	LR: 0.020000
Training Epoch: 29 [44288/46200]	Loss: 0.4908	LR: 0.020000
Training Epoch: 29 [44544/46200]	Loss: 0.7361	LR: 0.020000
Training Epoch: 29 [44800/46200]	Loss: 0.5130	LR: 0.020000
Training Epoch: 29 [45056/46200]	Loss: 0.5002	LR: 0.020000
Training Epoch: 29 [45312/46200]	Loss: 0.5597	LR: 0.020000
Training Epoch: 29 [45568/46200]	Loss: 0.6633	LR: 0.020000
Training Epoch: 29 [45824/46200]	Loss: 0.4577	LR: 0.020000
Training Epoch: 29 [46080/46200]	Loss: 0.5965	LR: 0.020000
Training Epoch: 29 [46200/46200]	Loss: 0.5812	LR: 0.020000
Epoch 29 - Average Train Loss: 0.5216, Train Accuracy: 0.8315
Epoch 29 training time consumed: 25.39s
Evaluating Network.....
Test set: Epoch: 29, Average loss: 0.0038, Accuracy: 0.7292, Time consumed:0.87s
Training Epoch: 30 [256/46200]	Loss: 0.4600	LR: 0.004000
Training Epoch: 30 [512/46200]	Loss: 0.4705	LR: 0.004000
Training Epoch: 30 [768/46200]	Loss: 0.5291	LR: 0.004000
Training Epoch: 30 [1024/46200]	Loss: 0.4544	LR: 0.004000
Training Epoch: 30 [1280/46200]	Loss: 0.4649	LR: 0.004000
Training Epoch: 30 [1536/46200]	Loss: 0.4795	LR: 0.004000
Training Epoch: 30 [1792/46200]	Loss: 0.4827	LR: 0.004000
Training Epoch: 30 [2048/46200]	Loss: 0.4657	LR: 0.004000
Training Epoch: 30 [2304/46200]	Loss: 0.4576	LR: 0.004000
Training Epoch: 30 [2560/46200]	Loss: 0.4962	LR: 0.004000
Training Epoch: 30 [2816/46200]	Loss: 0.4624	LR: 0.004000
Training Epoch: 30 [3072/46200]	Loss: 0.4796	LR: 0.004000
Training Epoch: 30 [3328/46200]	Loss: 0.3698	LR: 0.004000
Training Epoch: 30 [3584/46200]	Loss: 0.4445	LR: 0.004000
Training Epoch: 30 [3840/46200]	Loss: 0.4029	LR: 0.004000
Training Epoch: 30 [4096/46200]	Loss: 0.4076	LR: 0.004000
Training Epoch: 30 [4352/46200]	Loss: 0.4989	LR: 0.004000
Training Epoch: 30 [4608/46200]	Loss: 0.4624	LR: 0.004000
Training Epoch: 30 [4864/46200]	Loss: 0.4652	LR: 0.004000
Training Epoch: 30 [5120/46200]	Loss: 0.4920	LR: 0.004000
Training Epoch: 30 [5376/46200]	Loss: 0.4933	LR: 0.004000
Training Epoch: 30 [5632/46200]	Loss: 0.4813	LR: 0.004000
Training Epoch: 30 [5888/46200]	Loss: 0.4614	LR: 0.004000
Training Epoch: 30 [6144/46200]	Loss: 0.3093	LR: 0.004000
Training Epoch: 30 [6400/46200]	Loss: 0.4108	LR: 0.004000
Training Epoch: 30 [6656/46200]	Loss: 0.3954	LR: 0.004000
Training Epoch: 30 [6912/46200]	Loss: 0.3989	LR: 0.004000
Training Epoch: 30 [7168/46200]	Loss: 0.3965	LR: 0.004000
Training Epoch: 30 [7424/46200]	Loss: 0.5180	LR: 0.004000
Training Epoch: 30 [7680/46200]	Loss: 0.4057	LR: 0.004000
Training Epoch: 30 [7936/46200]	Loss: 0.3998	LR: 0.004000
Training Epoch: 30 [8192/46200]	Loss: 0.4363	LR: 0.004000
Training Epoch: 30 [8448/46200]	Loss: 0.5305	LR: 0.004000
Training Epoch: 30 [8704/46200]	Loss: 0.4443	LR: 0.004000
Training Epoch: 30 [8960/46200]	Loss: 0.3496	LR: 0.004000
Training Epoch: 30 [9216/46200]	Loss: 0.4067	LR: 0.004000
Training Epoch: 30 [9472/46200]	Loss: 0.4194	LR: 0.004000
Training Epoch: 30 [9728/46200]	Loss: 0.3819	LR: 0.004000
Training Epoch: 30 [9984/46200]	Loss: 0.4304	LR: 0.004000
Training Epoch: 30 [10240/46200]	Loss: 0.4264	LR: 0.004000
Training Epoch: 30 [10496/46200]	Loss: 0.3758	LR: 0.004000
Training Epoch: 30 [10752/46200]	Loss: 0.4025	LR: 0.004000
Training Epoch: 30 [11008/46200]	Loss: 0.3646	LR: 0.004000
Training Epoch: 30 [11264/46200]	Loss: 0.4003	LR: 0.004000
Training Epoch: 30 [11520/46200]	Loss: 0.3364	LR: 0.004000
Training Epoch: 30 [11776/46200]	Loss: 0.3766	LR: 0.004000
Training Epoch: 30 [12032/46200]	Loss: 0.4248	LR: 0.004000
Training Epoch: 30 [12288/46200]	Loss: 0.3041	LR: 0.004000
Training Epoch: 30 [12544/46200]	Loss: 0.4061	LR: 0.004000
Training Epoch: 30 [12800/46200]	Loss: 0.4088	LR: 0.004000
Training Epoch: 30 [13056/46200]	Loss: 0.4285	LR: 0.004000
Training Epoch: 30 [13312/46200]	Loss: 0.3476	LR: 0.004000
Training Epoch: 30 [13568/46200]	Loss: 0.3181	LR: 0.004000
Training Epoch: 30 [13824/46200]	Loss: 0.3568	LR: 0.004000
Training Epoch: 30 [14080/46200]	Loss: 0.3572	LR: 0.004000
Training Epoch: 30 [14336/46200]	Loss: 0.4407	LR: 0.004000
Training Epoch: 30 [14592/46200]	Loss: 0.4156	LR: 0.004000
Training Epoch: 30 [14848/46200]	Loss: 0.4140	LR: 0.004000
Training Epoch: 30 [15104/46200]	Loss: 0.4109	LR: 0.004000
Training Epoch: 30 [15360/46200]	Loss: 0.3759	LR: 0.004000
Training Epoch: 30 [15616/46200]	Loss: 0.3622	LR: 0.004000
Training Epoch: 30 [15872/46200]	Loss: 0.3619	LR: 0.004000
Training Epoch: 30 [16128/46200]	Loss: 0.4526	LR: 0.004000
Training Epoch: 30 [16384/46200]	Loss: 0.4800	LR: 0.004000
Training Epoch: 30 [16640/46200]	Loss: 0.4378	LR: 0.004000
Training Epoch: 30 [16896/46200]	Loss: 0.3554	LR: 0.004000
Training Epoch: 30 [17152/46200]	Loss: 0.4049	LR: 0.004000
Training Epoch: 30 [17408/46200]	Loss: 0.4648	LR: 0.004000
Training Epoch: 30 [17664/46200]	Loss: 0.4064	LR: 0.004000
Training Epoch: 30 [17920/46200]	Loss: 0.4243	LR: 0.004000
Training Epoch: 30 [18176/46200]	Loss: 0.3410	LR: 0.004000
Training Epoch: 30 [18432/46200]	Loss: 0.4242	LR: 0.004000
Training Epoch: 30 [18688/46200]	Loss: 0.5493	LR: 0.004000
Training Epoch: 30 [18944/46200]	Loss: 0.4431	LR: 0.004000
Training Epoch: 30 [19200/46200]	Loss: 0.2891	LR: 0.004000
Training Epoch: 30 [19456/46200]	Loss: 0.3297	LR: 0.004000
Training Epoch: 30 [19712/46200]	Loss: 0.3321	LR: 0.004000
Training Epoch: 30 [19968/46200]	Loss: 0.4141	LR: 0.004000
Training Epoch: 30 [20224/46200]	Loss: 0.3108	LR: 0.004000
Training Epoch: 30 [20480/46200]	Loss: 0.3773	LR: 0.004000
Training Epoch: 30 [20736/46200]	Loss: 0.3747	LR: 0.004000
Training Epoch: 30 [20992/46200]	Loss: 0.4225	LR: 0.004000
Training Epoch: 30 [21248/46200]	Loss: 0.4360	LR: 0.004000
Training Epoch: 30 [21504/46200]	Loss: 0.3667	LR: 0.004000
Training Epoch: 30 [21760/46200]	Loss: 0.4426	LR: 0.004000
Training Epoch: 30 [22016/46200]	Loss: 0.4716	LR: 0.004000
Training Epoch: 30 [22272/46200]	Loss: 0.3993	LR: 0.004000
Training Epoch: 30 [22528/46200]	Loss: 0.4400	LR: 0.004000
Training Epoch: 30 [22784/46200]	Loss: 0.3733	LR: 0.004000
Training Epoch: 30 [23040/46200]	Loss: 0.3846	LR: 0.004000
Training Epoch: 30 [23296/46200]	Loss: 0.3683	LR: 0.004000
Training Epoch: 30 [23552/46200]	Loss: 0.5169	LR: 0.004000
Training Epoch: 30 [23808/46200]	Loss: 0.3869	LR: 0.004000
Training Epoch: 30 [24064/46200]	Loss: 0.3650	LR: 0.004000
Training Epoch: 30 [24320/46200]	Loss: 0.3364	LR: 0.004000
Training Epoch: 30 [24576/46200]	Loss: 0.3892	LR: 0.004000
Training Epoch: 30 [24832/46200]	Loss: 0.4048	LR: 0.004000
Training Epoch: 30 [25088/46200]	Loss: 0.3481	LR: 0.004000
Training Epoch: 30 [25344/46200]	Loss: 0.4015	LR: 0.004000
Training Epoch: 30 [25600/46200]	Loss: 0.4110	LR: 0.004000
Training Epoch: 30 [25856/46200]	Loss: 0.3646	LR: 0.004000
Training Epoch: 30 [26112/46200]	Loss: 0.4041	LR: 0.004000
Training Epoch: 30 [26368/46200]	Loss: 0.3561	LR: 0.004000
Training Epoch: 30 [26624/46200]	Loss: 0.4180	LR: 0.004000
Training Epoch: 30 [26880/46200]	Loss: 0.3980	LR: 0.004000
Training Epoch: 30 [27136/46200]	Loss: 0.4197	LR: 0.004000
Training Epoch: 30 [27392/46200]	Loss: 0.3482	LR: 0.004000
Training Epoch: 30 [27648/46200]	Loss: 0.3608	LR: 0.004000
Training Epoch: 30 [27904/46200]	Loss: 0.3599	LR: 0.004000
Training Epoch: 30 [28160/46200]	Loss: 0.3769	LR: 0.004000
Training Epoch: 30 [28416/46200]	Loss: 0.3503	LR: 0.004000
Training Epoch: 30 [28672/46200]	Loss: 0.3724	LR: 0.004000
Training Epoch: 30 [28928/46200]	Loss: 0.3831	LR: 0.004000
Training Epoch: 30 [29184/46200]	Loss: 0.4384	LR: 0.004000
Training Epoch: 30 [29440/46200]	Loss: 0.3889	LR: 0.004000
Training Epoch: 30 [29696/46200]	Loss: 0.3728	LR: 0.004000
Training Epoch: 30 [29952/46200]	Loss: 0.3440	LR: 0.004000
Training Epoch: 30 [30208/46200]	Loss: 0.3778	LR: 0.004000
Training Epoch: 30 [30464/46200]	Loss: 0.3665	LR: 0.004000
Training Epoch: 30 [30720/46200]	Loss: 0.4058	LR: 0.004000
Training Epoch: 30 [30976/46200]	Loss: 0.3858	LR: 0.004000
Training Epoch: 30 [31232/46200]	Loss: 0.4493	LR: 0.004000
Training Epoch: 30 [31488/46200]	Loss: 0.3889	LR: 0.004000
Training Epoch: 30 [31744/46200]	Loss: 0.4407	LR: 0.004000
Training Epoch: 30 [32000/46200]	Loss: 0.4389	LR: 0.004000
Training Epoch: 30 [32256/46200]	Loss: 0.3616	LR: 0.004000
Training Epoch: 30 [32512/46200]	Loss: 0.4136	LR: 0.004000
Training Epoch: 30 [32768/46200]	Loss: 0.3865	LR: 0.004000
Training Epoch: 30 [33024/46200]	Loss: 0.3850	LR: 0.004000
Training Epoch: 30 [33280/46200]	Loss: 0.4863	LR: 0.004000
Training Epoch: 30 [33536/46200]	Loss: 0.4510	LR: 0.004000
Training Epoch: 30 [33792/46200]	Loss: 0.3620	LR: 0.004000
Training Epoch: 30 [34048/46200]	Loss: 0.3859	LR: 0.004000
Training Epoch: 30 [34304/46200]	Loss: 0.4603	LR: 0.004000
Training Epoch: 30 [34560/46200]	Loss: 0.4196	LR: 0.004000
Training Epoch: 30 [34816/46200]	Loss: 0.3568	LR: 0.004000
Training Epoch: 30 [35072/46200]	Loss: 0.3234	LR: 0.004000
Training Epoch: 30 [35328/46200]	Loss: 0.3557	LR: 0.004000
Training Epoch: 30 [35584/46200]	Loss: 0.3871	LR: 0.004000
Training Epoch: 30 [35840/46200]	Loss: 0.4559	LR: 0.004000
Training Epoch: 30 [36096/46200]	Loss: 0.4280	LR: 0.004000
Training Epoch: 30 [36352/46200]	Loss: 0.5291	LR: 0.004000
Training Epoch: 30 [36608/46200]	Loss: 0.3746	LR: 0.004000
Training Epoch: 30 [36864/46200]	Loss: 0.3417	LR: 0.004000
Training Epoch: 30 [37120/46200]	Loss: 0.5058	LR: 0.004000
Training Epoch: 30 [37376/46200]	Loss: 0.3485	LR: 0.004000
Training Epoch: 30 [37632/46200]	Loss: 0.4049	LR: 0.004000
Training Epoch: 30 [37888/46200]	Loss: 0.4684	LR: 0.004000
Training Epoch: 30 [38144/46200]	Loss: 0.3612	LR: 0.004000
Training Epoch: 30 [38400/46200]	Loss: 0.3892	LR: 0.004000
Training Epoch: 30 [38656/46200]	Loss: 0.3756	LR: 0.004000
Training Epoch: 30 [38912/46200]	Loss: 0.4546	LR: 0.004000
Training Epoch: 30 [39168/46200]	Loss: 0.4615	LR: 0.004000
Training Epoch: 30 [39424/46200]	Loss: 0.3796	LR: 0.004000
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Training Epoch: 30 [42496/46200]	Loss: 0.4046	LR: 0.004000
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Training Epoch: 30 [43008/46200]	Loss: 0.3780	LR: 0.004000
Training Epoch: 30 [43264/46200]	Loss: 0.3216	LR: 0.004000
Training Epoch: 30 [43520/46200]	Loss: 0.3584	LR: 0.004000
Training Epoch: 30 [43776/46200]	Loss: 0.3309	LR: 0.004000
Training Epoch: 30 [44032/46200]	Loss: 0.3871	LR: 0.004000
Training Epoch: 30 [44288/46200]	Loss: 0.4091	LR: 0.004000
Training Epoch: 30 [44544/46200]	Loss: 0.4056	LR: 0.004000
Training Epoch: 30 [44800/46200]	Loss: 0.3680	LR: 0.004000
Training Epoch: 30 [45056/46200]	Loss: 0.4350	LR: 0.004000
Training Epoch: 30 [45312/46200]	Loss: 0.3042	LR: 0.004000
Training Epoch: 30 [45568/46200]	Loss: 0.4224	LR: 0.004000
Training Epoch: 30 [45824/46200]	Loss: 0.3589	LR: 0.004000
Training Epoch: 30 [46080/46200]	Loss: 0.4942	LR: 0.004000
Training Epoch: 30 [46200/46200]	Loss: 0.3551	LR: 0.004000
Epoch 30 - Average Train Loss: 0.4052, Train Accuracy: 0.8727
Epoch 30 training time consumed: 25.37s
Evaluating Network.....
Test set: Epoch: 30, Average loss: 0.0030, Accuracy: 0.7791, Time consumed:0.88s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_10h_21m_47s/AllCNN-Cifar20-seed5-ret25-30-best.pth
Training Epoch: 31 [256/46200]	Loss: 0.3831	LR: 0.004000
Training Epoch: 31 [512/46200]	Loss: 0.3897	LR: 0.004000
Training Epoch: 31 [768/46200]	Loss: 0.3870	LR: 0.004000
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Training Epoch: 31 [43520/46200]	Loss: 0.3071	LR: 0.004000
Training Epoch: 31 [43776/46200]	Loss: 0.3263	LR: 0.004000
Training Epoch: 31 [44032/46200]	Loss: 0.4086	LR: 0.004000
Training Epoch: 31 [44288/46200]	Loss: 0.4299	LR: 0.004000
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Training Epoch: 31 [45056/46200]	Loss: 0.2865	LR: 0.004000
Training Epoch: 31 [45312/46200]	Loss: 0.4416	LR: 0.004000
Training Epoch: 31 [45568/46200]	Loss: 0.3823	LR: 0.004000
Training Epoch: 31 [45824/46200]	Loss: 0.3527	LR: 0.004000
Training Epoch: 31 [46080/46200]	Loss: 0.3590	LR: 0.004000
Training Epoch: 31 [46200/46200]	Loss: 0.3517	LR: 0.004000
Epoch 31 - Average Train Loss: 0.3670, Train Accuracy: 0.8874
Epoch 31 training time consumed: 25.33s
Evaluating Network.....
Test set: Epoch: 31, Average loss: 0.0030, Accuracy: 0.7798, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_10h_21m_47s/AllCNN-Cifar20-seed5-ret25-31-best.pth
Training Epoch: 32 [256/46200]	Loss: 0.3406	LR: 0.004000
Training Epoch: 32 [512/46200]	Loss: 0.3337	LR: 0.004000
Training Epoch: 32 [768/46200]	Loss: 0.2746	LR: 0.004000
Training Epoch: 32 [1024/46200]	Loss: 0.3338	LR: 0.004000
Training Epoch: 32 [1280/46200]	Loss: 0.2891	LR: 0.004000
Training Epoch: 32 [1536/46200]	Loss: 0.4339	LR: 0.004000
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Training Epoch: 32 [18432/46200]	Loss: 0.3598	LR: 0.004000
Training Epoch: 32 [18688/46200]	Loss: 0.3369	LR: 0.004000
Training Epoch: 32 [18944/46200]	Loss: 0.4289	LR: 0.004000
Training Epoch: 32 [19200/46200]	Loss: 0.3639	LR: 0.004000
Training Epoch: 32 [19456/46200]	Loss: 0.3829	LR: 0.004000
Training Epoch: 32 [19712/46200]	Loss: 0.4149	LR: 0.004000
Training Epoch: 32 [19968/46200]	Loss: 0.3191	LR: 0.004000
Training Epoch: 32 [20224/46200]	Loss: 0.4076	LR: 0.004000
Training Epoch: 32 [20480/46200]	Loss: 0.3652	LR: 0.004000
Training Epoch: 32 [20736/46200]	Loss: 0.3666	LR: 0.004000
Training Epoch: 32 [20992/46200]	Loss: 0.3249	LR: 0.004000
Training Epoch: 32 [21248/46200]	Loss: 0.3270	LR: 0.004000
Training Epoch: 32 [21504/46200]	Loss: 0.3542	LR: 0.004000
Training Epoch: 32 [21760/46200]	Loss: 0.3562	LR: 0.004000
Training Epoch: 32 [22016/46200]	Loss: 0.3323	LR: 0.004000
Training Epoch: 32 [22272/46200]	Loss: 0.4232	LR: 0.004000
Training Epoch: 32 [22528/46200]	Loss: 0.3970	LR: 0.004000
Training Epoch: 32 [22784/46200]	Loss: 0.4087	LR: 0.004000
Training Epoch: 32 [23040/46200]	Loss: 0.3858	LR: 0.004000
Training Epoch: 32 [23296/46200]	Loss: 0.3997	LR: 0.004000
Training Epoch: 32 [23552/46200]	Loss: 0.3560	LR: 0.004000
Training Epoch: 32 [23808/46200]	Loss: 0.3163	LR: 0.004000
Training Epoch: 32 [24064/46200]	Loss: 0.2717	LR: 0.004000
Training Epoch: 32 [24320/46200]	Loss: 0.3342	LR: 0.004000
Training Epoch: 32 [24576/46200]	Loss: 0.3792	LR: 0.004000
Training Epoch: 32 [24832/46200]	Loss: 0.3920	LR: 0.004000
Training Epoch: 32 [25088/46200]	Loss: 0.3758	LR: 0.004000
Training Epoch: 32 [25344/46200]	Loss: 0.3821	LR: 0.004000
Training Epoch: 32 [25600/46200]	Loss: 0.4416	LR: 0.004000
Training Epoch: 32 [25856/46200]	Loss: 0.3455	LR: 0.004000
Training Epoch: 32 [26112/46200]	Loss: 0.2941	LR: 0.004000
Training Epoch: 32 [26368/46200]	Loss: 0.3429	LR: 0.004000
Training Epoch: 32 [26624/46200]	Loss: 0.3627	LR: 0.004000
Training Epoch: 32 [26880/46200]	Loss: 0.3221	LR: 0.004000
Training Epoch: 32 [27136/46200]	Loss: 0.4265	LR: 0.004000
Training Epoch: 32 [27392/46200]	Loss: 0.3915	LR: 0.004000
Training Epoch: 32 [27648/46200]	Loss: 0.2802	LR: 0.004000
Training Epoch: 32 [27904/46200]	Loss: 0.3691	LR: 0.004000
Training Epoch: 32 [28160/46200]	Loss: 0.2889	LR: 0.004000
Training Epoch: 32 [28416/46200]	Loss: 0.3107	LR: 0.004000
Training Epoch: 32 [28672/46200]	Loss: 0.2818	LR: 0.004000
Training Epoch: 32 [28928/46200]	Loss: 0.3486	LR: 0.004000
Training Epoch: 32 [29184/46200]	Loss: 0.3055	LR: 0.004000
Training Epoch: 32 [29440/46200]	Loss: 0.3296	LR: 0.004000
Training Epoch: 32 [29696/46200]	Loss: 0.2695	LR: 0.004000
Training Epoch: 32 [29952/46200]	Loss: 0.3436	LR: 0.004000
Training Epoch: 32 [30208/46200]	Loss: 0.3433	LR: 0.004000
Training Epoch: 32 [30464/46200]	Loss: 0.3694	LR: 0.004000
Training Epoch: 32 [30720/46200]	Loss: 0.3251	LR: 0.004000
Training Epoch: 32 [30976/46200]	Loss: 0.2892	LR: 0.004000
Training Epoch: 32 [31232/46200]	Loss: 0.2198	LR: 0.004000
Training Epoch: 32 [31488/46200]	Loss: 0.3151	LR: 0.004000
Training Epoch: 32 [31744/46200]	Loss: 0.3641	LR: 0.004000
Training Epoch: 32 [32000/46200]	Loss: 0.3537	LR: 0.004000
Training Epoch: 32 [32256/46200]	Loss: 0.3727	LR: 0.004000
Training Epoch: 32 [32512/46200]	Loss: 0.3794	LR: 0.004000
Training Epoch: 32 [32768/46200]	Loss: 0.3570	LR: 0.004000
Training Epoch: 32 [33024/46200]	Loss: 0.4405	LR: 0.004000
Training Epoch: 32 [33280/46200]	Loss: 0.2640	LR: 0.004000
Training Epoch: 32 [33536/46200]	Loss: 0.3117	LR: 0.004000
Training Epoch: 32 [33792/46200]	Loss: 0.3639	LR: 0.004000
Training Epoch: 32 [34048/46200]	Loss: 0.3131	LR: 0.004000
Training Epoch: 32 [34304/46200]	Loss: 0.3763	LR: 0.004000
Training Epoch: 32 [34560/46200]	Loss: 0.3984	LR: 0.004000
Training Epoch: 32 [34816/46200]	Loss: 0.3249	LR: 0.004000
Training Epoch: 32 [35072/46200]	Loss: 0.3102	LR: 0.004000
Training Epoch: 32 [35328/46200]	Loss: 0.3824	LR: 0.004000
Training Epoch: 32 [35584/46200]	Loss: 0.2344	LR: 0.004000
Training Epoch: 32 [35840/46200]	Loss: 0.3497	LR: 0.004000
Training Epoch: 32 [36096/46200]	Loss: 0.3862	LR: 0.004000
Training Epoch: 32 [36352/46200]	Loss: 0.4379	LR: 0.004000
Training Epoch: 32 [36608/46200]	Loss: 0.3200	LR: 0.004000
Training Epoch: 32 [36864/46200]	Loss: 0.3293	LR: 0.004000
Training Epoch: 32 [37120/46200]	Loss: 0.3760	LR: 0.004000
Training Epoch: 32 [37376/46200]	Loss: 0.3652	LR: 0.004000
Training Epoch: 32 [37632/46200]	Loss: 0.3095	LR: 0.004000
Training Epoch: 32 [37888/46200]	Loss: 0.4182	LR: 0.004000
Training Epoch: 32 [38144/46200]	Loss: 0.3368	LR: 0.004000
Training Epoch: 32 [38400/46200]	Loss: 0.3254	LR: 0.004000
Training Epoch: 32 [38656/46200]	Loss: 0.4332	LR: 0.004000
Training Epoch: 32 [38912/46200]	Loss: 0.3609	LR: 0.004000
Training Epoch: 32 [39168/46200]	Loss: 0.3599	LR: 0.004000
Training Epoch: 32 [39424/46200]	Loss: 0.4280	LR: 0.004000
Training Epoch: 32 [39680/46200]	Loss: 0.3999	LR: 0.004000
Training Epoch: 32 [39936/46200]	Loss: 0.3528	LR: 0.004000
Training Epoch: 32 [40192/46200]	Loss: 0.3988	LR: 0.004000
Training Epoch: 32 [40448/46200]	Loss: 0.4642	LR: 0.004000
Training Epoch: 32 [40704/46200]	Loss: 0.2753	LR: 0.004000
Training Epoch: 32 [40960/46200]	Loss: 0.3702	LR: 0.004000
Training Epoch: 32 [41216/46200]	Loss: 0.3197	LR: 0.004000
Training Epoch: 32 [41472/46200]	Loss: 0.3972	LR: 0.004000
Training Epoch: 32 [41728/46200]	Loss: 0.3480	LR: 0.004000
Training Epoch: 32 [41984/46200]	Loss: 0.3093	LR: 0.004000
Training Epoch: 32 [42240/46200]	Loss: 0.3219	LR: 0.004000
Training Epoch: 32 [42496/46200]	Loss: 0.3518	LR: 0.004000
Training Epoch: 32 [42752/46200]	Loss: 0.3547	LR: 0.004000
Training Epoch: 32 [43008/46200]	Loss: 0.4047	LR: 0.004000
Training Epoch: 32 [43264/46200]	Loss: 0.3291	LR: 0.004000
Training Epoch: 32 [43520/46200]	Loss: 0.3755	LR: 0.004000
Training Epoch: 32 [43776/46200]	Loss: 0.3922	LR: 0.004000
Training Epoch: 32 [44032/46200]	Loss: 0.4191	LR: 0.004000
Training Epoch: 32 [44288/46200]	Loss: 0.4293	LR: 0.004000
Training Epoch: 32 [44544/46200]	Loss: 0.3593	LR: 0.004000
Training Epoch: 32 [44800/46200]	Loss: 0.3099	LR: 0.004000
Training Epoch: 32 [45056/46200]	Loss: 0.3946	LR: 0.004000
Training Epoch: 32 [45312/46200]	Loss: 0.4080	LR: 0.004000
Training Epoch: 32 [45568/46200]	Loss: 0.4397	LR: 0.004000
Training Epoch: 32 [45824/46200]	Loss: 0.3478	LR: 0.004000
Training Epoch: 32 [46080/46200]	Loss: 0.2994	LR: 0.004000
Training Epoch: 32 [46200/46200]	Loss: 0.3721	LR: 0.004000
Epoch 32 - Average Train Loss: 0.3535, Train Accuracy: 0.8918
Epoch 32 training time consumed: 25.19s
Evaluating Network.....
Test set: Epoch: 32, Average loss: 0.0030, Accuracy: 0.7775, Time consumed:0.85s
Training Epoch: 33 [256/46200]	Loss: 0.2736	LR: 0.004000
Training Epoch: 33 [512/46200]	Loss: 0.3148	LR: 0.004000
Training Epoch: 33 [768/46200]	Loss: 0.2631	LR: 0.004000
Training Epoch: 33 [1024/46200]	Loss: 0.2962	LR: 0.004000
Training Epoch: 33 [1280/46200]	Loss: 0.3569	LR: 0.004000
Training Epoch: 33 [1536/46200]	Loss: 0.3353	LR: 0.004000
Training Epoch: 33 [1792/46200]	Loss: 0.3234	LR: 0.004000
Training Epoch: 33 [2048/46200]	Loss: 0.3269	LR: 0.004000
Training Epoch: 33 [2304/46200]	Loss: 0.4313	LR: 0.004000
Training Epoch: 33 [2560/46200]	Loss: 0.3374	LR: 0.004000
Training Epoch: 33 [2816/46200]	Loss: 0.2774	LR: 0.004000
Training Epoch: 33 [3072/46200]	Loss: 0.3414	LR: 0.004000
Training Epoch: 33 [3328/46200]	Loss: 0.2861	LR: 0.004000
Training Epoch: 33 [3584/46200]	Loss: 0.3863	LR: 0.004000
Training Epoch: 33 [3840/46200]	Loss: 0.3112	LR: 0.004000
Training Epoch: 33 [4096/46200]	Loss: 0.3368	LR: 0.004000
Training Epoch: 33 [4352/46200]	Loss: 0.3516	LR: 0.004000
Training Epoch: 33 [4608/46200]	Loss: 0.3390	LR: 0.004000
Training Epoch: 33 [4864/46200]	Loss: 0.3065	LR: 0.004000
Training Epoch: 33 [5120/46200]	Loss: 0.3188	LR: 0.004000
Training Epoch: 33 [5376/46200]	Loss: 0.4200	LR: 0.004000
Training Epoch: 33 [5632/46200]	Loss: 0.3532	LR: 0.004000
Training Epoch: 33 [5888/46200]	Loss: 0.3362	LR: 0.004000
Training Epoch: 33 [6144/46200]	Loss: 0.3066	LR: 0.004000
Training Epoch: 33 [6400/46200]	Loss: 0.3389	LR: 0.004000
Training Epoch: 33 [6656/46200]	Loss: 0.3225	LR: 0.004000
Training Epoch: 33 [6912/46200]	Loss: 0.3493	LR: 0.004000
Training Epoch: 33 [7168/46200]	Loss: 0.3398	LR: 0.004000
Training Epoch: 33 [7424/46200]	Loss: 0.3616	LR: 0.004000
Training Epoch: 33 [7680/46200]	Loss: 0.3124	LR: 0.004000
Training Epoch: 33 [7936/46200]	Loss: 0.3433	LR: 0.004000
Training Epoch: 33 [8192/46200]	Loss: 0.3623	LR: 0.004000
Training Epoch: 33 [8448/46200]	Loss: 0.3738	LR: 0.004000
Training Epoch: 33 [8704/46200]	Loss: 0.3367	LR: 0.004000
Training Epoch: 33 [8960/46200]	Loss: 0.2876	LR: 0.004000
Training Epoch: 33 [9216/46200]	Loss: 0.4055	LR: 0.004000
Training Epoch: 33 [9472/46200]	Loss: 0.2705	LR: 0.004000
Training Epoch: 33 [9728/46200]	Loss: 0.3725	LR: 0.004000
Training Epoch: 33 [9984/46200]	Loss: 0.2875	LR: 0.004000
Training Epoch: 33 [10240/46200]	Loss: 0.3423	LR: 0.004000
Training Epoch: 33 [10496/46200]	Loss: 0.3166	LR: 0.004000
Training Epoch: 33 [10752/46200]	Loss: 0.2503	LR: 0.004000
Training Epoch: 33 [11008/46200]	Loss: 0.3135	LR: 0.004000
Training Epoch: 33 [11264/46200]	Loss: 0.3467	LR: 0.004000
Training Epoch: 33 [11520/46200]	Loss: 0.2835	LR: 0.004000
Training Epoch: 33 [11776/46200]	Loss: 0.3723	LR: 0.004000
Training Epoch: 33 [12032/46200]	Loss: 0.3369	LR: 0.004000
Training Epoch: 33 [12288/46200]	Loss: 0.3331	LR: 0.004000
Training Epoch: 33 [12544/46200]	Loss: 0.4185	LR: 0.004000
Training Epoch: 33 [12800/46200]	Loss: 0.3671	LR: 0.004000
Training Epoch: 33 [13056/46200]	Loss: 0.3359	LR: 0.004000
Training Epoch: 33 [13312/46200]	Loss: 0.3586	LR: 0.004000
Training Epoch: 33 [13568/46200]	Loss: 0.3367	LR: 0.004000
Training Epoch: 33 [13824/46200]	Loss: 0.2845	LR: 0.004000
Training Epoch: 33 [14080/46200]	Loss: 0.3492	LR: 0.004000
Training Epoch: 33 [14336/46200]	Loss: 0.4037	LR: 0.004000
Training Epoch: 33 [14592/46200]	Loss: 0.3364	LR: 0.004000
Training Epoch: 33 [14848/46200]	Loss: 0.2708	LR: 0.004000
Training Epoch: 33 [15104/46200]	Loss: 0.3201	LR: 0.004000
Training Epoch: 33 [15360/46200]	Loss: 0.3554	LR: 0.004000
Training Epoch: 33 [15616/46200]	Loss: 0.4405	LR: 0.004000
Training Epoch: 33 [15872/46200]	Loss: 0.3277	LR: 0.004000
Training Epoch: 33 [16128/46200]	Loss: 0.2840	LR: 0.004000
Training Epoch: 33 [16384/46200]	Loss: 0.4132	LR: 0.004000
Training Epoch: 33 [16640/46200]	Loss: 0.2638	LR: 0.004000
Training Epoch: 33 [16896/46200]	Loss: 0.3994	LR: 0.004000
Training Epoch: 33 [17152/46200]	Loss: 0.3072	LR: 0.004000
Training Epoch: 33 [17408/46200]	Loss: 0.2993	LR: 0.004000
Training Epoch: 33 [17664/46200]	Loss: 0.3444	LR: 0.004000
Training Epoch: 33 [17920/46200]	Loss: 0.3429	LR: 0.004000
Training Epoch: 33 [18176/46200]	Loss: 0.3869	LR: 0.004000
Training Epoch: 33 [18432/46200]	Loss: 0.2986	LR: 0.004000
Training Epoch: 33 [18688/46200]	Loss: 0.3379	LR: 0.004000
Training Epoch: 33 [18944/46200]	Loss: 0.3759	LR: 0.004000
Training Epoch: 33 [19200/46200]	Loss: 0.3374	LR: 0.004000
Training Epoch: 33 [19456/46200]	Loss: 0.3229	LR: 0.004000
Training Epoch: 33 [19712/46200]	Loss: 0.3729	LR: 0.004000
Training Epoch: 33 [19968/46200]	Loss: 0.3462	LR: 0.004000
Training Epoch: 33 [20224/46200]	Loss: 0.3670	LR: 0.004000
Training Epoch: 33 [20480/46200]	Loss: 0.2402	LR: 0.004000
Training Epoch: 33 [20736/46200]	Loss: 0.3771	LR: 0.004000
Training Epoch: 33 [20992/46200]	Loss: 0.3024	LR: 0.004000
Training Epoch: 33 [21248/46200]	Loss: 0.3092	LR: 0.004000
Training Epoch: 33 [21504/46200]	Loss: 0.3347	LR: 0.004000
Training Epoch: 33 [21760/46200]	Loss: 0.3416	LR: 0.004000
Training Epoch: 33 [22016/46200]	Loss: 0.2978	LR: 0.004000
Training Epoch: 33 [22272/46200]	Loss: 0.2785	LR: 0.004000
Training Epoch: 33 [22528/46200]	Loss: 0.3683	LR: 0.004000
Training Epoch: 33 [22784/46200]	Loss: 0.3430	LR: 0.004000
Training Epoch: 33 [23040/46200]	Loss: 0.3424	LR: 0.004000
Training Epoch: 33 [23296/46200]	Loss: 0.3021	LR: 0.004000
Training Epoch: 33 [23552/46200]	Loss: 0.2875	LR: 0.004000
Training Epoch: 33 [23808/46200]	Loss: 0.3214	LR: 0.004000
Training Epoch: 33 [24064/46200]	Loss: 0.3788	LR: 0.004000
Training Epoch: 33 [24320/46200]	Loss: 0.3417	LR: 0.004000
Training Epoch: 33 [24576/46200]	Loss: 0.3415	LR: 0.004000
Training Epoch: 33 [24832/46200]	Loss: 0.2977	LR: 0.004000
Training Epoch: 33 [25088/46200]	Loss: 0.3243	LR: 0.004000
Training Epoch: 33 [25344/46200]	Loss: 0.5200	LR: 0.004000
Training Epoch: 33 [25600/46200]	Loss: 0.2961	LR: 0.004000
Training Epoch: 33 [25856/46200]	Loss: 0.3039	LR: 0.004000
Training Epoch: 33 [26112/46200]	Loss: 0.3506	LR: 0.004000
Training Epoch: 33 [26368/46200]	Loss: 0.2637	LR: 0.004000
Training Epoch: 33 [26624/46200]	Loss: 0.4057	LR: 0.004000
Training Epoch: 33 [26880/46200]	Loss: 0.2776	LR: 0.004000
Training Epoch: 33 [27136/46200]	Loss: 0.3779	LR: 0.004000
Training Epoch: 33 [27392/46200]	Loss: 0.3678	LR: 0.004000
Training Epoch: 33 [27648/46200]	Loss: 0.3302	LR: 0.004000
Training Epoch: 33 [27904/46200]	Loss: 0.3062	LR: 0.004000
Training Epoch: 33 [28160/46200]	Loss: 0.4020	LR: 0.004000
Training Epoch: 33 [28416/46200]	Loss: 0.3233	LR: 0.004000
Training Epoch: 33 [28672/46200]	Loss: 0.3090	LR: 0.004000
Training Epoch: 33 [28928/46200]	Loss: 0.2659	LR: 0.004000
Training Epoch: 33 [29184/46200]	Loss: 0.3130	LR: 0.004000
Training Epoch: 33 [29440/46200]	Loss: 0.3423	LR: 0.004000
Training Epoch: 33 [29696/46200]	Loss: 0.3332	LR: 0.004000
Training Epoch: 33 [29952/46200]	Loss: 0.3610	LR: 0.004000
Training Epoch: 33 [30208/46200]	Loss: 0.3875	LR: 0.004000
Training Epoch: 33 [30464/46200]	Loss: 0.4283	LR: 0.004000
Training Epoch: 33 [30720/46200]	Loss: 0.3995	LR: 0.004000
Training Epoch: 33 [30976/46200]	Loss: 0.3780	LR: 0.004000
Training Epoch: 33 [31232/46200]	Loss: 0.2946	LR: 0.004000
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Training Epoch: 33 [32256/46200]	Loss: 0.3381	LR: 0.004000
Training Epoch: 33 [32512/46200]	Loss: 0.3327	LR: 0.004000
Training Epoch: 33 [32768/46200]	Loss: 0.3587	LR: 0.004000
Training Epoch: 33 [33024/46200]	Loss: 0.3772	LR: 0.004000
Training Epoch: 33 [33280/46200]	Loss: 0.2661	LR: 0.004000
Training Epoch: 33 [33536/46200]	Loss: 0.3285	LR: 0.004000
Training Epoch: 33 [33792/46200]	Loss: 0.3345	LR: 0.004000
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Training Epoch: 33 [34304/46200]	Loss: 0.3587	LR: 0.004000
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Training Epoch: 33 [34816/46200]	Loss: 0.2699	LR: 0.004000
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Training Epoch: 33 [35584/46200]	Loss: 0.3440	LR: 0.004000
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Training Epoch: 33 [36096/46200]	Loss: 0.3420	LR: 0.004000
Training Epoch: 33 [36352/46200]	Loss: 0.2849	LR: 0.004000
Training Epoch: 33 [36608/46200]	Loss: 0.4177	LR: 0.004000
Training Epoch: 33 [36864/46200]	Loss: 0.3041	LR: 0.004000
Training Epoch: 33 [37120/46200]	Loss: 0.3862	LR: 0.004000
Training Epoch: 33 [37376/46200]	Loss: 0.3490	LR: 0.004000
Training Epoch: 33 [37632/46200]	Loss: 0.4398	LR: 0.004000
Training Epoch: 33 [37888/46200]	Loss: 0.3831	LR: 0.004000
Training Epoch: 33 [38144/46200]	Loss: 0.2461	LR: 0.004000
Training Epoch: 33 [38400/46200]	Loss: 0.3716	LR: 0.004000
Training Epoch: 33 [38656/46200]	Loss: 0.3222	LR: 0.004000
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Training Epoch: 33 [39168/46200]	Loss: 0.3390	LR: 0.004000
Training Epoch: 33 [39424/46200]	Loss: 0.3509	LR: 0.004000
Training Epoch: 33 [39680/46200]	Loss: 0.3293	LR: 0.004000
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Training Epoch: 33 [40192/46200]	Loss: 0.3393	LR: 0.004000
Training Epoch: 33 [40448/46200]	Loss: 0.3874	LR: 0.004000
Training Epoch: 33 [40704/46200]	Loss: 0.2859	LR: 0.004000
Training Epoch: 33 [40960/46200]	Loss: 0.3515	LR: 0.004000
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Training Epoch: 33 [45824/46200]	Loss: 0.3271	LR: 0.004000
Training Epoch: 33 [46080/46200]	Loss: 0.3927	LR: 0.004000
Training Epoch: 33 [46200/46200]	Loss: 0.4088	LR: 0.004000
Epoch 33 - Average Train Loss: 0.3402, Train Accuracy: 0.8963
Epoch 33 training time consumed: 25.09s
Evaluating Network.....
Test set: Epoch: 33, Average loss: 0.0030, Accuracy: 0.7808, Time consumed:0.95s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_10h_21m_47s/AllCNN-Cifar20-seed5-ret25-33-best.pth
Training Epoch: 34 [256/46200]	Loss: 0.3529	LR: 0.004000
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Training Epoch: 34 [46200/46200]	Loss: 0.4584	LR: 0.004000
Epoch 34 - Average Train Loss: 0.3342, Train Accuracy: 0.8987
Epoch 34 training time consumed: 25.13s
Evaluating Network.....
Test set: Epoch: 34, Average loss: 0.0030, Accuracy: 0.7802, Time consumed:0.84s
Training Epoch: 35 [256/46200]	Loss: 0.2167	LR: 0.000800
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Training Epoch: 35 [25600/46200]	Loss: 0.3510	LR: 0.000800
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Training Epoch: 35 [41472/46200]	Loss: 0.2710	LR: 0.000800
Training Epoch: 35 [41728/46200]	Loss: 0.3595	LR: 0.000800
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Training Epoch: 35 [42240/46200]	Loss: 0.2629	LR: 0.000800
Training Epoch: 35 [42496/46200]	Loss: 0.2522	LR: 0.000800
Training Epoch: 35 [42752/46200]	Loss: 0.3139	LR: 0.000800
Training Epoch: 35 [43008/46200]	Loss: 0.3455	LR: 0.000800
Training Epoch: 35 [43264/46200]	Loss: 0.2780	LR: 0.000800
Training Epoch: 35 [43520/46200]	Loss: 0.3435	LR: 0.000800
Training Epoch: 35 [43776/46200]	Loss: 0.3302	LR: 0.000800
Training Epoch: 35 [44032/46200]	Loss: 0.2959	LR: 0.000800
Training Epoch: 35 [44288/46200]	Loss: 0.2990	LR: 0.000800
Training Epoch: 35 [44544/46200]	Loss: 0.2711	LR: 0.000800
Training Epoch: 35 [44800/46200]	Loss: 0.3421	LR: 0.000800
Training Epoch: 35 [45056/46200]	Loss: 0.2720	LR: 0.000800
Training Epoch: 35 [45312/46200]	Loss: 0.2412	LR: 0.000800
Training Epoch: 35 [45568/46200]	Loss: 0.3330	LR: 0.000800
Training Epoch: 35 [45824/46200]	Loss: 0.2056	LR: 0.000800
Training Epoch: 35 [46080/46200]	Loss: 0.2722	LR: 0.000800
Training Epoch: 35 [46200/46200]	Loss: 0.3839	LR: 0.000800
Epoch 35 - Average Train Loss: 0.3093, Train Accuracy: 0.9067
Epoch 35 training time consumed: 25.19s
Evaluating Network.....
Test set: Epoch: 35, Average loss: 0.0030, Accuracy: 0.7827, Time consumed:0.87s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_10h_21m_47s/AllCNN-Cifar20-seed5-ret25-35-best.pth
Training Epoch: 36 [256/46200]	Loss: 0.3080	LR: 0.000800
Training Epoch: 36 [512/46200]	Loss: 0.2674	LR: 0.000800
Training Epoch: 36 [768/46200]	Loss: 0.2800	LR: 0.000800
Training Epoch: 36 [1024/46200]	Loss: 0.2298	LR: 0.000800
Training Epoch: 36 [1280/46200]	Loss: 0.3166	LR: 0.000800
Training Epoch: 36 [1536/46200]	Loss: 0.3062	LR: 0.000800
Training Epoch: 36 [1792/46200]	Loss: 0.2989	LR: 0.000800
Training Epoch: 36 [2048/46200]	Loss: 0.2827	LR: 0.000800
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Training Epoch: 36 [2816/46200]	Loss: 0.3140	LR: 0.000800
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Training Epoch: 36 [40192/46200]	Loss: 0.2895	LR: 0.000800
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Training Epoch: 36 [43520/46200]	Loss: 0.2773	LR: 0.000800
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Training Epoch: 36 [44288/46200]	Loss: 0.2579	LR: 0.000800
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Training Epoch: 36 [44800/46200]	Loss: 0.2489	LR: 0.000800
Training Epoch: 36 [45056/46200]	Loss: 0.3344	LR: 0.000800
Training Epoch: 36 [45312/46200]	Loss: 0.3158	LR: 0.000800
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Training Epoch: 36 [45824/46200]	Loss: 0.3648	LR: 0.000800
Training Epoch: 36 [46080/46200]	Loss: 0.2702	LR: 0.000800
Training Epoch: 36 [46200/46200]	Loss: 0.2667	LR: 0.000800
Epoch 36 - Average Train Loss: 0.3023, Train Accuracy: 0.9091
Epoch 36 training time consumed: 25.10s
Evaluating Network.....
Test set: Epoch: 36, Average loss: 0.0030, Accuracy: 0.7837, Time consumed:0.88s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_10h_21m_47s/AllCNN-Cifar20-seed5-ret25-36-best.pth
Training Epoch: 37 [256/46200]	Loss: 0.3021	LR: 0.000800
Training Epoch: 37 [512/46200]	Loss: 0.2852	LR: 0.000800
Training Epoch: 37 [768/46200]	Loss: 0.2720	LR: 0.000800
Training Epoch: 37 [1024/46200]	Loss: 0.3572	LR: 0.000800
Training Epoch: 37 [1280/46200]	Loss: 0.3184	LR: 0.000800
Training Epoch: 37 [1536/46200]	Loss: 0.4047	LR: 0.000800
Training Epoch: 37 [1792/46200]	Loss: 0.3292	LR: 0.000800
Training Epoch: 37 [2048/46200]	Loss: 0.3295	LR: 0.000800
Training Epoch: 37 [2304/46200]	Loss: 0.3536	LR: 0.000800
Training Epoch: 37 [2560/46200]	Loss: 0.3551	LR: 0.000800
Training Epoch: 37 [2816/46200]	Loss: 0.3103	LR: 0.000800
Training Epoch: 37 [3072/46200]	Loss: 0.3953	LR: 0.000800
Training Epoch: 37 [3328/46200]	Loss: 0.2434	LR: 0.000800
Training Epoch: 37 [3584/46200]	Loss: 0.2772	LR: 0.000800
Training Epoch: 37 [3840/46200]	Loss: 0.2618	LR: 0.000800
Training Epoch: 37 [4096/46200]	Loss: 0.2758	LR: 0.000800
Training Epoch: 37 [4352/46200]	Loss: 0.2525	LR: 0.000800
Training Epoch: 37 [4608/46200]	Loss: 0.2949	LR: 0.000800
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Training Epoch: 37 [43520/46200]	Loss: 0.3316	LR: 0.000800
Training Epoch: 37 [43776/46200]	Loss: 0.2652	LR: 0.000800
Training Epoch: 37 [44032/46200]	Loss: 0.3532	LR: 0.000800
Training Epoch: 37 [44288/46200]	Loss: 0.2729	LR: 0.000800
Training Epoch: 37 [44544/46200]	Loss: 0.3360	LR: 0.000800
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Training Epoch: 37 [45056/46200]	Loss: 0.2388	LR: 0.000800
Training Epoch: 37 [45312/46200]	Loss: 0.3169	LR: 0.000800
Training Epoch: 37 [45568/46200]	Loss: 0.3418	LR: 0.000800
Training Epoch: 37 [45824/46200]	Loss: 0.3631	LR: 0.000800
Training Epoch: 37 [46080/46200]	Loss: 0.2842	LR: 0.000800
Training Epoch: 37 [46200/46200]	Loss: 0.3110	LR: 0.000800
Epoch 37 - Average Train Loss: 0.2980, Train Accuracy: 0.9103
Epoch 37 training time consumed: 25.50s
Evaluating Network.....
Test set: Epoch: 37, Average loss: 0.0030, Accuracy: 0.7881, Time consumed:0.87s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_10h_21m_47s/AllCNN-Cifar20-seed5-ret25-37-best.pth
Training Epoch: 38 [256/46200]	Loss: 0.2939	LR: 0.000800
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Training Epoch: 38 [31744/46200]	Loss: 0.2953	LR: 0.000800
Training Epoch: 38 [32000/46200]	Loss: 0.2740	LR: 0.000800
Training Epoch: 38 [32256/46200]	Loss: 0.2506	LR: 0.000800
Training Epoch: 38 [32512/46200]	Loss: 0.2664	LR: 0.000800
Training Epoch: 38 [32768/46200]	Loss: 0.2434	LR: 0.000800
Training Epoch: 38 [33024/46200]	Loss: 0.2039	LR: 0.000800
Training Epoch: 38 [33280/46200]	Loss: 0.3081	LR: 0.000800
Training Epoch: 38 [33536/46200]	Loss: 0.2579	LR: 0.000800
Training Epoch: 38 [33792/46200]	Loss: 0.3443	LR: 0.000800
Training Epoch: 38 [34048/46200]	Loss: 0.3195	LR: 0.000800
Training Epoch: 38 [34304/46200]	Loss: 0.2767	LR: 0.000800
Training Epoch: 38 [34560/46200]	Loss: 0.3296	LR: 0.000800
Training Epoch: 38 [34816/46200]	Loss: 0.2581	LR: 0.000800
Training Epoch: 38 [35072/46200]	Loss: 0.2931	LR: 0.000800
Training Epoch: 38 [35328/46200]	Loss: 0.3169	LR: 0.000800
Training Epoch: 38 [35584/46200]	Loss: 0.3509	LR: 0.000800
Training Epoch: 38 [35840/46200]	Loss: 0.3020	LR: 0.000800
Training Epoch: 38 [36096/46200]	Loss: 0.3100	LR: 0.000800
Training Epoch: 38 [36352/46200]	Loss: 0.3079	LR: 0.000800
Training Epoch: 38 [36608/46200]	Loss: 0.3891	LR: 0.000800
Training Epoch: 38 [36864/46200]	Loss: 0.3615	LR: 0.000800
Training Epoch: 38 [37120/46200]	Loss: 0.3450	LR: 0.000800
Training Epoch: 38 [37376/46200]	Loss: 0.2712	LR: 0.000800
Training Epoch: 38 [37632/46200]	Loss: 0.3023	LR: 0.000800
Training Epoch: 38 [37888/46200]	Loss: 0.2539	LR: 0.000800
Training Epoch: 38 [38144/46200]	Loss: 0.2690	LR: 0.000800
Training Epoch: 38 [38400/46200]	Loss: 0.3259	LR: 0.000800
Training Epoch: 38 [38656/46200]	Loss: 0.3049	LR: 0.000800
Training Epoch: 38 [38912/46200]	Loss: 0.2815	LR: 0.000800
Training Epoch: 38 [39168/46200]	Loss: 0.2642	LR: 0.000800
Training Epoch: 38 [39424/46200]	Loss: 0.3239	LR: 0.000800
Training Epoch: 38 [39680/46200]	Loss: 0.2029	LR: 0.000800
Training Epoch: 38 [39936/46200]	Loss: 0.2992	LR: 0.000800
Training Epoch: 38 [40192/46200]	Loss: 0.3056	LR: 0.000800
Training Epoch: 38 [40448/46200]	Loss: 0.2875	LR: 0.000800
Training Epoch: 38 [40704/46200]	Loss: 0.1980	LR: 0.000800
Training Epoch: 38 [40960/46200]	Loss: 0.2399	LR: 0.000800
Training Epoch: 38 [41216/46200]	Loss: 0.3880	LR: 0.000800
Training Epoch: 38 [41472/46200]	Loss: 0.3106	LR: 0.000800
Training Epoch: 38 [41728/46200]	Loss: 0.2839	LR: 0.000800
Training Epoch: 38 [41984/46200]	Loss: 0.2768	LR: 0.000800
Training Epoch: 38 [42240/46200]	Loss: 0.2995	LR: 0.000800
Training Epoch: 38 [42496/46200]	Loss: 0.3355	LR: 0.000800
Training Epoch: 38 [42752/46200]	Loss: 0.2897	LR: 0.000800
Training Epoch: 38 [43008/46200]	Loss: 0.2734	LR: 0.000800
Training Epoch: 38 [43264/46200]	Loss: 0.3408	LR: 0.000800
Training Epoch: 38 [43520/46200]	Loss: 0.2999	LR: 0.000800
Training Epoch: 38 [43776/46200]	Loss: 0.2613	LR: 0.000800
Training Epoch: 38 [44032/46200]	Loss: 0.2820	LR: 0.000800
Training Epoch: 38 [44288/46200]	Loss: 0.3663	LR: 0.000800
Training Epoch: 38 [44544/46200]	Loss: 0.2721	LR: 0.000800
Training Epoch: 38 [44800/46200]	Loss: 0.3611	LR: 0.000800
Training Epoch: 38 [45056/46200]	Loss: 0.3484	LR: 0.000800
Training Epoch: 38 [45312/46200]	Loss: 0.2919	LR: 0.000800
Training Epoch: 38 [45568/46200]	Loss: 0.2214	LR: 0.000800
Training Epoch: 38 [45824/46200]	Loss: 0.3296	LR: 0.000800
Training Epoch: 38 [46080/46200]	Loss: 0.2817	LR: 0.000800
Training Epoch: 38 [46200/46200]	Loss: 0.3343	LR: 0.000800
Epoch 38 - Average Train Loss: 0.2993, Train Accuracy: 0.9110
Epoch 38 training time consumed: 25.09s
Evaluating Network.....
Test set: Epoch: 38, Average loss: 0.0030, Accuracy: 0.7866, Time consumed:0.89s
Training Epoch: 39 [256/46200]	Loss: 0.2970	LR: 0.000800
Training Epoch: 39 [512/46200]	Loss: 0.3011	LR: 0.000800
Training Epoch: 39 [768/46200]	Loss: 0.3743	LR: 0.000800
Training Epoch: 39 [1024/46200]	Loss: 0.3041	LR: 0.000800
Training Epoch: 39 [1280/46200]	Loss: 0.3304	LR: 0.000800
Training Epoch: 39 [1536/46200]	Loss: 0.2980	LR: 0.000800
Training Epoch: 39 [1792/46200]	Loss: 0.3120	LR: 0.000800
Training Epoch: 39 [2048/46200]	Loss: 0.2298	LR: 0.000800
Training Epoch: 39 [2304/46200]	Loss: 0.2786	LR: 0.000800
Training Epoch: 39 [2560/46200]	Loss: 0.3075	LR: 0.000800
Training Epoch: 39 [2816/46200]	Loss: 0.2831	LR: 0.000800
Training Epoch: 39 [3072/46200]	Loss: 0.3206	LR: 0.000800
Training Epoch: 39 [3328/46200]	Loss: 0.2544	LR: 0.000800
Training Epoch: 39 [3584/46200]	Loss: 0.2951	LR: 0.000800
Training Epoch: 39 [3840/46200]	Loss: 0.3052	LR: 0.000800
Training Epoch: 39 [4096/46200]	Loss: 0.2690	LR: 0.000800
Training Epoch: 39 [4352/46200]	Loss: 0.2832	LR: 0.000800
Training Epoch: 39 [4608/46200]	Loss: 0.3462	LR: 0.000800
Training Epoch: 39 [4864/46200]	Loss: 0.3442	LR: 0.000800
Training Epoch: 39 [5120/46200]	Loss: 0.3103	LR: 0.000800
Training Epoch: 39 [5376/46200]	Loss: 0.3121	LR: 0.000800
Training Epoch: 39 [5632/46200]	Loss: 0.2936	LR: 0.000800
Training Epoch: 39 [5888/46200]	Loss: 0.2561	LR: 0.000800
Training Epoch: 39 [6144/46200]	Loss: 0.2691	LR: 0.000800
Training Epoch: 39 [6400/46200]	Loss: 0.2456	LR: 0.000800
Training Epoch: 39 [6656/46200]	Loss: 0.2963	LR: 0.000800
Training Epoch: 39 [6912/46200]	Loss: 0.3059	LR: 0.000800
Training Epoch: 39 [7168/46200]	Loss: 0.3284	LR: 0.000800
Training Epoch: 39 [7424/46200]	Loss: 0.2739	LR: 0.000800
Training Epoch: 39 [7680/46200]	Loss: 0.3070	LR: 0.000800
Training Epoch: 39 [7936/46200]	Loss: 0.2676	LR: 0.000800
Training Epoch: 39 [8192/46200]	Loss: 0.2966	LR: 0.000800
Training Epoch: 39 [8448/46200]	Loss: 0.2864	LR: 0.000800
Training Epoch: 39 [8704/46200]	Loss: 0.3002	LR: 0.000800
Training Epoch: 39 [8960/46200]	Loss: 0.4173	LR: 0.000800
Training Epoch: 39 [9216/46200]	Loss: 0.3208	LR: 0.000800
Training Epoch: 39 [9472/46200]	Loss: 0.2895	LR: 0.000800
Training Epoch: 39 [9728/46200]	Loss: 0.2788	LR: 0.000800
Training Epoch: 39 [9984/46200]	Loss: 0.3079	LR: 0.000800
Training Epoch: 39 [10240/46200]	Loss: 0.2791	LR: 0.000800
Training Epoch: 39 [10496/46200]	Loss: 0.3079	LR: 0.000800
Training Epoch: 39 [10752/46200]	Loss: 0.3001	LR: 0.000800
Training Epoch: 39 [11008/46200]	Loss: 0.3319	LR: 0.000800
Training Epoch: 39 [11264/46200]	Loss: 0.3042	LR: 0.000800
Training Epoch: 39 [11520/46200]	Loss: 0.3285	LR: 0.000800
Training Epoch: 39 [11776/46200]	Loss: 0.2061	LR: 0.000800
Training Epoch: 39 [12032/46200]	Loss: 0.2497	LR: 0.000800
Training Epoch: 39 [12288/46200]	Loss: 0.3424	LR: 0.000800
Training Epoch: 39 [12544/46200]	Loss: 0.3120	LR: 0.000800
Training Epoch: 39 [12800/46200]	Loss: 0.2909	LR: 0.000800
Training Epoch: 39 [13056/46200]	Loss: 0.3182	LR: 0.000800
Training Epoch: 39 [13312/46200]	Loss: 0.2859	LR: 0.000800
Training Epoch: 39 [13568/46200]	Loss: 0.2819	LR: 0.000800
Training Epoch: 39 [13824/46200]	Loss: 0.2880	LR: 0.000800
Training Epoch: 39 [14080/46200]	Loss: 0.2630	LR: 0.000800
Training Epoch: 39 [14336/46200]	Loss: 0.3581	LR: 0.000800
Training Epoch: 39 [14592/46200]	Loss: 0.3308	LR: 0.000800
Training Epoch: 39 [14848/46200]	Loss: 0.2844	LR: 0.000800
Training Epoch: 39 [15104/46200]	Loss: 0.3456	LR: 0.000800
Training Epoch: 39 [15360/46200]	Loss: 0.3293	LR: 0.000800
Training Epoch: 39 [15616/46200]	Loss: 0.3327	LR: 0.000800
Training Epoch: 39 [15872/46200]	Loss: 0.3429	LR: 0.000800
Training Epoch: 39 [16128/46200]	Loss: 0.2705	LR: 0.000800
Training Epoch: 39 [16384/46200]	Loss: 0.2978	LR: 0.000800
Training Epoch: 39 [16640/46200]	Loss: 0.3550	LR: 0.000800
Training Epoch: 39 [16896/46200]	Loss: 0.2384	LR: 0.000800
Training Epoch: 39 [17152/46200]	Loss: 0.2637	LR: 0.000800
Training Epoch: 39 [17408/46200]	Loss: 0.2889	LR: 0.000800
Training Epoch: 39 [17664/46200]	Loss: 0.2715	LR: 0.000800
Training Epoch: 39 [17920/46200]	Loss: 0.3444	LR: 0.000800
Training Epoch: 39 [18176/46200]	Loss: 0.3176	LR: 0.000800
Training Epoch: 39 [18432/46200]	Loss: 0.4030	LR: 0.000800
Training Epoch: 39 [18688/46200]	Loss: 0.2668	LR: 0.000800
Training Epoch: 39 [18944/46200]	Loss: 0.3506	LR: 0.000800
Training Epoch: 39 [19200/46200]	Loss: 0.3068	LR: 0.000800
Training Epoch: 39 [19456/46200]	Loss: 0.3408	LR: 0.000800
Training Epoch: 39 [19712/46200]	Loss: 0.2940	LR: 0.000800
Training Epoch: 39 [19968/46200]	Loss: 0.2843	LR: 0.000800
Training Epoch: 39 [20224/46200]	Loss: 0.2731	LR: 0.000800
Training Epoch: 39 [20480/46200]	Loss: 0.3592	LR: 0.000800
Training Epoch: 39 [20736/46200]	Loss: 0.3113	LR: 0.000800
Training Epoch: 39 [20992/46200]	Loss: 0.2804	LR: 0.000800
Training Epoch: 39 [21248/46200]	Loss: 0.3071	LR: 0.000800
Training Epoch: 39 [21504/46200]	Loss: 0.3064	LR: 0.000800
Training Epoch: 39 [21760/46200]	Loss: 0.2716	LR: 0.000800
Training Epoch: 39 [22016/46200]	Loss: 0.2547	LR: 0.000800
Training Epoch: 39 [22272/46200]	Loss: 0.2198	LR: 0.000800
Training Epoch: 39 [22528/46200]	Loss: 0.2814	LR: 0.000800
Training Epoch: 39 [22784/46200]	Loss: 0.2719	LR: 0.000800
Training Epoch: 39 [23040/46200]	Loss: 0.3334	LR: 0.000800
Training Epoch: 39 [23296/46200]	Loss: 0.2679	LR: 0.000800
Training Epoch: 39 [23552/46200]	Loss: 0.2543	LR: 0.000800
Training Epoch: 39 [23808/46200]	Loss: 0.3345	LR: 0.000800
Training Epoch: 39 [24064/46200]	Loss: 0.2546	LR: 0.000800
Training Epoch: 39 [24320/46200]	Loss: 0.3157	LR: 0.000800
Training Epoch: 39 [24576/46200]	Loss: 0.3293	LR: 0.000800
Training Epoch: 39 [24832/46200]	Loss: 0.3339	LR: 0.000800
Training Epoch: 39 [25088/46200]	Loss: 0.2868	LR: 0.000800
Training Epoch: 39 [25344/46200]	Loss: 0.2757	LR: 0.000800
Training Epoch: 39 [25600/46200]	Loss: 0.3054	LR: 0.000800
Training Epoch: 39 [25856/46200]	Loss: 0.3091	LR: 0.000800
Training Epoch: 39 [26112/46200]	Loss: 0.3185	LR: 0.000800
Training Epoch: 39 [26368/46200]	Loss: 0.2386	LR: 0.000800
Training Epoch: 39 [26624/46200]	Loss: 0.2245	LR: 0.000800
Training Epoch: 39 [26880/46200]	Loss: 0.3309	LR: 0.000800
Training Epoch: 39 [27136/46200]	Loss: 0.2740	LR: 0.000800
Training Epoch: 39 [27392/46200]	Loss: 0.2417	LR: 0.000800
Training Epoch: 39 [27648/46200]	Loss: 0.2702	LR: 0.000800
Training Epoch: 39 [27904/46200]	Loss: 0.2682	LR: 0.000800
Training Epoch: 39 [28160/46200]	Loss: 0.2660	LR: 0.000800
Training Epoch: 39 [28416/46200]	Loss: 0.3012	LR: 0.000800
Training Epoch: 39 [28672/46200]	Loss: 0.4058	LR: 0.000800
Training Epoch: 39 [28928/46200]	Loss: 0.2427	LR: 0.000800
Training Epoch: 39 [29184/46200]	Loss: 0.2342	LR: 0.000800
Training Epoch: 39 [29440/46200]	Loss: 0.2414	LR: 0.000800
Training Epoch: 39 [29696/46200]	Loss: 0.3094	LR: 0.000800
Training Epoch: 39 [29952/46200]	Loss: 0.2046	LR: 0.000800
Training Epoch: 39 [30208/46200]	Loss: 0.2915	LR: 0.000800
Training Epoch: 39 [30464/46200]	Loss: 0.2657	LR: 0.000800
Training Epoch: 39 [30720/46200]	Loss: 0.2788	LR: 0.000800
Training Epoch: 39 [30976/46200]	Loss: 0.3444	LR: 0.000800
Training Epoch: 39 [31232/46200]	Loss: 0.2721	LR: 0.000800
Training Epoch: 39 [31488/46200]	Loss: 0.2978	LR: 0.000800
Training Epoch: 39 [31744/46200]	Loss: 0.2313	LR: 0.000800
Training Epoch: 39 [32000/46200]	Loss: 0.2813	LR: 0.000800
Training Epoch: 39 [32256/46200]	Loss: 0.3536	LR: 0.000800
Training Epoch: 39 [32512/46200]	Loss: 0.3459	LR: 0.000800
Training Epoch: 39 [32768/46200]	Loss: 0.2776	LR: 0.000800
Training Epoch: 39 [33024/46200]	Loss: 0.2907	LR: 0.000800
Training Epoch: 39 [33280/46200]	Loss: 0.2840	LR: 0.000800
Training Epoch: 39 [33536/46200]	Loss: 0.2353	LR: 0.000800
Training Epoch: 39 [33792/46200]	Loss: 0.2981	LR: 0.000800
Training Epoch: 39 [34048/46200]	Loss: 0.3197	LR: 0.000800
Training Epoch: 39 [34304/46200]	Loss: 0.2255	LR: 0.000800
Training Epoch: 39 [34560/46200]	Loss: 0.2794	LR: 0.000800
Training Epoch: 39 [34816/46200]	Loss: 0.2253	LR: 0.000800
Training Epoch: 39 [35072/46200]	Loss: 0.2790	LR: 0.000800
Training Epoch: 39 [35328/46200]	Loss: 0.3183	LR: 0.000800
Training Epoch: 39 [35584/46200]	Loss: 0.2850	LR: 0.000800
Training Epoch: 39 [35840/46200]	Loss: 0.2301	LR: 0.000800
Training Epoch: 39 [36096/46200]	Loss: 0.3116	LR: 0.000800
Training Epoch: 39 [36352/46200]	Loss: 0.3174	LR: 0.000800
Training Epoch: 39 [36608/46200]	Loss: 0.2927	LR: 0.000800
Training Epoch: 39 [36864/46200]	Loss: 0.3740	LR: 0.000800
Training Epoch: 39 [37120/46200]	Loss: 0.3147	LR: 0.000800
Training Epoch: 39 [37376/46200]	Loss: 0.2862	LR: 0.000800
Training Epoch: 39 [37632/46200]	Loss: 0.2396	LR: 0.000800
Training Epoch: 39 [37888/46200]	Loss: 0.3533	LR: 0.000800
Training Epoch: 39 [38144/46200]	Loss: 0.1983	LR: 0.000800
Training Epoch: 39 [38400/46200]	Loss: 0.3160	LR: 0.000800
Training Epoch: 39 [38656/46200]	Loss: 0.2337	LR: 0.000800
Training Epoch: 39 [38912/46200]	Loss: 0.3031	LR: 0.000800
Training Epoch: 39 [39168/46200]	Loss: 0.2998	LR: 0.000800
Training Epoch: 39 [39424/46200]	Loss: 0.3227	LR: 0.000800
Training Epoch: 39 [39680/46200]	Loss: 0.2494	LR: 0.000800
Training Epoch: 39 [39936/46200]	Loss: 0.3278	LR: 0.000800
Training Epoch: 39 [40192/46200]	Loss: 0.2943	LR: 0.000800
Training Epoch: 39 [40448/46200]	Loss: 0.2647	LR: 0.000800
Training Epoch: 39 [40704/46200]	Loss: 0.2988	LR: 0.000800
Training Epoch: 39 [40960/46200]	Loss: 0.3292	LR: 0.000800
Training Epoch: 39 [41216/46200]	Loss: 0.2612	LR: 0.000800
Training Epoch: 39 [41472/46200]	Loss: 0.2682	LR: 0.000800
Training Epoch: 39 [41728/46200]	Loss: 0.2966	LR: 0.000800
Training Epoch: 39 [41984/46200]	Loss: 0.2947	LR: 0.000800
Training Epoch: 39 [42240/46200]	Loss: 0.3189	LR: 0.000800
Training Epoch: 39 [42496/46200]	Loss: 0.2494	LR: 0.000800
Training Epoch: 39 [42752/46200]	Loss: 0.2328	LR: 0.000800
Training Epoch: 39 [43008/46200]	Loss: 0.2224	LR: 0.000800
Training Epoch: 39 [43264/46200]	Loss: 0.2592	LR: 0.000800
Training Epoch: 39 [43520/46200]	Loss: 0.3124	LR: 0.000800
Training Epoch: 39 [43776/46200]	Loss: 0.2567	LR: 0.000800
Training Epoch: 39 [44032/46200]	Loss: 0.2940	LR: 0.000800
Training Epoch: 39 [44288/46200]	Loss: 0.3463	LR: 0.000800
Training Epoch: 39 [44544/46200]	Loss: 0.3016	LR: 0.000800
Training Epoch: 39 [44800/46200]	Loss: 0.2804	LR: 0.000800
Training Epoch: 39 [45056/46200]	Loss: 0.3569	LR: 0.000800
Training Epoch: 39 [45312/46200]	Loss: 0.2953	LR: 0.000800
Training Epoch: 39 [45568/46200]	Loss: 0.3300	LR: 0.000800
Training Epoch: 39 [45824/46200]	Loss: 0.2833	LR: 0.000800
Training Epoch: 39 [46080/46200]	Loss: 0.3075	LR: 0.000800
Training Epoch: 39 [46200/46200]	Loss: 0.4366	LR: 0.000800
Epoch 39 - Average Train Loss: 0.2944, Train Accuracy: 0.9118
Epoch 39 training time consumed: 25.09s
Evaluating Network.....
Test set: Epoch: 39, Average loss: 0.0030, Accuracy: 0.7857, Time consumed:0.88s
Training Epoch: 40 [256/46200]	Loss: 0.3213	LR: 0.000800
Training Epoch: 40 [512/46200]	Loss: 0.2863	LR: 0.000800
Training Epoch: 40 [768/46200]	Loss: 0.2962	LR: 0.000800
Training Epoch: 40 [1024/46200]	Loss: 0.3177	LR: 0.000800
Training Epoch: 40 [1280/46200]	Loss: 0.2757	LR: 0.000800
Training Epoch: 40 [1536/46200]	Loss: 0.3107	LR: 0.000800
Training Epoch: 40 [1792/46200]	Loss: 0.2846	LR: 0.000800
Training Epoch: 40 [2048/46200]	Loss: 0.2474	LR: 0.000800
Training Epoch: 40 [2304/46200]	Loss: 0.3247	LR: 0.000800
Training Epoch: 40 [2560/46200]	Loss: 0.2827	LR: 0.000800
Training Epoch: 40 [2816/46200]	Loss: 0.3306	LR: 0.000800
Training Epoch: 40 [3072/46200]	Loss: 0.2873	LR: 0.000800
Training Epoch: 40 [3328/46200]	Loss: 0.3070	LR: 0.000800
Training Epoch: 40 [3584/46200]	Loss: 0.2569	LR: 0.000800
Training Epoch: 40 [3840/46200]	Loss: 0.2880	LR: 0.000800
Training Epoch: 40 [4096/46200]	Loss: 0.2829	LR: 0.000800
Training Epoch: 40 [4352/46200]	Loss: 0.3465	LR: 0.000800
Training Epoch: 40 [4608/46200]	Loss: 0.3299	LR: 0.000800
Training Epoch: 40 [4864/46200]	Loss: 0.2507	LR: 0.000800
Training Epoch: 40 [5120/46200]	Loss: 0.2598	LR: 0.000800
Training Epoch: 40 [5376/46200]	Loss: 0.3278	LR: 0.000800
Training Epoch: 40 [5632/46200]	Loss: 0.2684	LR: 0.000800
Training Epoch: 40 [5888/46200]	Loss: 0.2664	LR: 0.000800
Training Epoch: 40 [6144/46200]	Loss: 0.3042	LR: 0.000800
Training Epoch: 40 [6400/46200]	Loss: 0.3171	LR: 0.000800
Training Epoch: 40 [6656/46200]	Loss: 0.2105	LR: 0.000800
Training Epoch: 40 [6912/46200]	Loss: 0.2508	LR: 0.000800
Training Epoch: 40 [7168/46200]	Loss: 0.2710	LR: 0.000800
Training Epoch: 40 [7424/46200]	Loss: 0.3126	LR: 0.000800
Training Epoch: 40 [7680/46200]	Loss: 0.3526	LR: 0.000800
Training Epoch: 40 [7936/46200]	Loss: 0.2333	LR: 0.000800
Training Epoch: 40 [8192/46200]	Loss: 0.2866	LR: 0.000800
Training Epoch: 40 [8448/46200]	Loss: 0.3165	LR: 0.000800
Training Epoch: 40 [8704/46200]	Loss: 0.2537	LR: 0.000800
Training Epoch: 40 [8960/46200]	Loss: 0.3105	LR: 0.000800
Training Epoch: 40 [9216/46200]	Loss: 0.2823	LR: 0.000800
Training Epoch: 40 [9472/46200]	Loss: 0.2877	LR: 0.000800
Training Epoch: 40 [9728/46200]	Loss: 0.3434	LR: 0.000800
Training Epoch: 40 [9984/46200]	Loss: 0.3326	LR: 0.000800
Training Epoch: 40 [10240/46200]	Loss: 0.3403	LR: 0.000800
Training Epoch: 40 [10496/46200]	Loss: 0.2400	LR: 0.000800
Training Epoch: 40 [10752/46200]	Loss: 0.3004	LR: 0.000800
Training Epoch: 40 [11008/46200]	Loss: 0.2915	LR: 0.000800
Training Epoch: 40 [11264/46200]	Loss: 0.2996	LR: 0.000800
Training Epoch: 40 [11520/46200]	Loss: 0.2699	LR: 0.000800
Training Epoch: 40 [11776/46200]	Loss: 0.2547	LR: 0.000800
Training Epoch: 40 [12032/46200]	Loss: 0.3442	LR: 0.000800
Training Epoch: 40 [12288/46200]	Loss: 0.2948	LR: 0.000800
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Training Epoch: 40 [19712/46200]	Loss: 0.2157	LR: 0.000800
Training Epoch: 40 [19968/46200]	Loss: 0.3227	LR: 0.000800
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Training Epoch: 40 [22016/46200]	Loss: 0.3254	LR: 0.000800
Training Epoch: 40 [22272/46200]	Loss: 0.4084	LR: 0.000800
Training Epoch: 40 [22528/46200]	Loss: 0.2525	LR: 0.000800
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Training Epoch: 40 [24832/46200]	Loss: 0.2902	LR: 0.000800
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Training Epoch: 40 [27904/46200]	Loss: 0.3147	LR: 0.000800
Training Epoch: 40 [28160/46200]	Loss: 0.2684	LR: 0.000800
Training Epoch: 40 [28416/46200]	Loss: 0.3040	LR: 0.000800
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Training Epoch: 40 [28928/46200]	Loss: 0.3343	LR: 0.000800
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Training Epoch: 40 [30464/46200]	Loss: 0.2729	LR: 0.000800
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Training Epoch: 40 [31488/46200]	Loss: 0.2918	LR: 0.000800
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Training Epoch: 40 [32768/46200]	Loss: 0.3114	LR: 0.000800
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Training Epoch: 40 [34304/46200]	Loss: 0.2814	LR: 0.000800
Training Epoch: 40 [34560/46200]	Loss: 0.2910	LR: 0.000800
Training Epoch: 40 [34816/46200]	Loss: 0.2927	LR: 0.000800
Training Epoch: 40 [35072/46200]	Loss: 0.3060	LR: 0.000800
Training Epoch: 40 [35328/46200]	Loss: 0.3298	LR: 0.000800
Training Epoch: 40 [35584/46200]	Loss: 0.2578	LR: 0.000800
Training Epoch: 40 [35840/46200]	Loss: 0.2441	LR: 0.000800
Training Epoch: 40 [36096/46200]	Loss: 0.3345	LR: 0.000800
Training Epoch: 40 [36352/46200]	Loss: 0.2149	LR: 0.000800
Training Epoch: 40 [36608/46200]	Loss: 0.3522	LR: 0.000800
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Training Epoch: 40 [37120/46200]	Loss: 0.3121	LR: 0.000800
Training Epoch: 40 [37376/46200]	Loss: 0.3158	LR: 0.000800
Training Epoch: 40 [37632/46200]	Loss: 0.3326	LR: 0.000800
Training Epoch: 40 [37888/46200]	Loss: 0.2757	LR: 0.000800
Training Epoch: 40 [38144/46200]	Loss: 0.2443	LR: 0.000800
Training Epoch: 40 [38400/46200]	Loss: 0.2521	LR: 0.000800
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Training Epoch: 40 [38912/46200]	Loss: 0.3429	LR: 0.000800
Training Epoch: 40 [39168/46200]	Loss: 0.3163	LR: 0.000800
Training Epoch: 40 [39424/46200]	Loss: 0.3558	LR: 0.000800
Training Epoch: 40 [39680/46200]	Loss: 0.2759	LR: 0.000800
Training Epoch: 40 [39936/46200]	Loss: 0.2433	LR: 0.000800
Training Epoch: 40 [40192/46200]	Loss: 0.3629	LR: 0.000800
Training Epoch: 40 [40448/46200]	Loss: 0.3048	LR: 0.000800
Training Epoch: 40 [40704/46200]	Loss: 0.3014	LR: 0.000800
Training Epoch: 40 [40960/46200]	Loss: 0.2977	LR: 0.000800
Training Epoch: 40 [41216/46200]	Loss: 0.2594	LR: 0.000800
Training Epoch: 40 [41472/46200]	Loss: 0.2793	LR: 0.000800
Training Epoch: 40 [41728/46200]	Loss: 0.2299	LR: 0.000800
Training Epoch: 40 [41984/46200]	Loss: 0.2824	LR: 0.000800
Training Epoch: 40 [42240/46200]	Loss: 0.2289	LR: 0.000800
Training Epoch: 40 [42496/46200]	Loss: 0.2999	LR: 0.000800
Training Epoch: 40 [42752/46200]	Loss: 0.3254	LR: 0.000800
Training Epoch: 40 [43008/46200]	Loss: 0.2830	LR: 0.000800
Training Epoch: 40 [43264/46200]	Loss: 0.2664	LR: 0.000800
Training Epoch: 40 [43520/46200]	Loss: 0.2765	LR: 0.000800
Training Epoch: 40 [43776/46200]	Loss: 0.3393	LR: 0.000800
Training Epoch: 40 [44032/46200]	Loss: 0.2739	LR: 0.000800
Training Epoch: 40 [44288/46200]	Loss: 0.3052	LR: 0.000800
Training Epoch: 40 [44544/46200]	Loss: 0.2954	LR: 0.000800
Training Epoch: 40 [44800/46200]	Loss: 0.2500	LR: 0.000800
Training Epoch: 40 [45056/46200]	Loss: 0.2925	LR: 0.000800
Training Epoch: 40 [45312/46200]	Loss: 0.3003	LR: 0.000800
Training Epoch: 40 [45568/46200]	Loss: 0.2803	LR: 0.000800
Training Epoch: 40 [45824/46200]	Loss: 0.3266	LR: 0.000800
Training Epoch: 40 [46080/46200]	Loss: 0.3301	LR: 0.000800
Training Epoch: 40 [46200/46200]	Loss: 0.2290	LR: 0.000800
Epoch 40 - Average Train Loss: 0.2931, Train Accuracy: 0.9120
Epoch 40 training time consumed: 25.15s
Evaluating Network.....
Test set: Epoch: 40, Average loss: 0.0030, Accuracy: 0.7865, Time consumed:0.88s
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: 78.564453125
Retain Accuracy: 92.00060272216797
Zero-Retain Forget (ZRF): 0.9133882522583008
Membership Inference Attack (MIA): 0.0
Forget vs Retain Membership Inference Attack (MIA): 0.5361842105263158
Forget vs Test Membership Inference Attack (MIA): 0.5421052631578948
Test vs Retain Membership Inference Attack (MIA): 0.494
Train vs Test Membership Inference Attack (MIA): 0.554
Forget Set Accuracy (Df): 77.24536895751953
Method Execution Time: 1547.97 seconds
