
📌 S Retain class distribution for seed 6:
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 6:
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: 3.0313	LR: 0.000000
Training Epoch: 1 [512/46200]	Loss: 3.0525	LR: 0.000552
Training Epoch: 1 [768/46200]	Loss: 3.0237	LR: 0.001105
Training Epoch: 1 [1024/46200]	Loss: 3.0240	LR: 0.001657
Training Epoch: 1 [1280/46200]	Loss: 3.0442	LR: 0.002210
Training Epoch: 1 [1536/46200]	Loss: 3.0373	LR: 0.002762
Training Epoch: 1 [1792/46200]	Loss: 3.0107	LR: 0.003315
Training Epoch: 1 [2048/46200]	Loss: 3.0027	LR: 0.003867
Training Epoch: 1 [2304/46200]	Loss: 3.0095	LR: 0.004420
Training Epoch: 1 [2560/46200]	Loss: 2.9834	LR: 0.004972
Training Epoch: 1 [2816/46200]	Loss: 2.9621	LR: 0.005525
Training Epoch: 1 [3072/46200]	Loss: 2.9538	LR: 0.006077
Training Epoch: 1 [3328/46200]	Loss: 2.9272	LR: 0.006630
Training Epoch: 1 [3584/46200]	Loss: 2.9213	LR: 0.007182
Training Epoch: 1 [3840/46200]	Loss: 2.8597	LR: 0.007735
Training Epoch: 1 [4096/46200]	Loss: 2.8850	LR: 0.008287
Training Epoch: 1 [4352/46200]	Loss: 2.8541	LR: 0.008840
Training Epoch: 1 [4608/46200]	Loss: 2.8510	LR: 0.009392
Training Epoch: 1 [4864/46200]	Loss: 2.8243	LR: 0.009945
Training Epoch: 1 [5120/46200]	Loss: 2.8586	LR: 0.010497
Training Epoch: 1 [5376/46200]	Loss: 2.8363	LR: 0.011050
Training Epoch: 1 [5632/46200]	Loss: 2.7858	LR: 0.011602
Training Epoch: 1 [5888/46200]	Loss: 2.7825	LR: 0.012155
Training Epoch: 1 [6144/46200]	Loss: 2.7424	LR: 0.012707
Training Epoch: 1 [6400/46200]	Loss: 2.7380	LR: 0.013260
Training Epoch: 1 [6656/46200]	Loss: 2.7129	LR: 0.013812
Training Epoch: 1 [6912/46200]	Loss: 2.7319	LR: 0.014365
Training Epoch: 1 [7168/46200]	Loss: 2.7662	LR: 0.014917
Training Epoch: 1 [7424/46200]	Loss: 2.6806	LR: 0.015470
Training Epoch: 1 [7680/46200]	Loss: 2.6943	LR: 0.016022
Training Epoch: 1 [7936/46200]	Loss: 2.6981	LR: 0.016575
Training Epoch: 1 [8192/46200]	Loss: 2.7655	LR: 0.017127
Training Epoch: 1 [8448/46200]	Loss: 2.6132	LR: 0.017680
Training Epoch: 1 [8704/46200]	Loss: 2.6129	LR: 0.018232
Training Epoch: 1 [8960/46200]	Loss: 2.7217	LR: 0.018785
Training Epoch: 1 [9216/46200]	Loss: 2.6025	LR: 0.019337
Training Epoch: 1 [9472/46200]	Loss: 2.7259	LR: 0.019890
Training Epoch: 1 [9728/46200]	Loss: 2.7097	LR: 0.020442
Training Epoch: 1 [9984/46200]	Loss: 2.6175	LR: 0.020994
Training Epoch: 1 [10240/46200]	Loss: 2.5961	LR: 0.021547
Training Epoch: 1 [10496/46200]	Loss: 2.6258	LR: 0.022099
Training Epoch: 1 [10752/46200]	Loss: 2.5856	LR: 0.022652
Training Epoch: 1 [11008/46200]	Loss: 2.6322	LR: 0.023204
Training Epoch: 1 [11264/46200]	Loss: 2.5886	LR: 0.023757
Training Epoch: 1 [11520/46200]	Loss: 2.6912	LR: 0.024309
Training Epoch: 1 [11776/46200]	Loss: 2.5863	LR: 0.024862
Training Epoch: 1 [12032/46200]	Loss: 2.5912	LR: 0.025414
Training Epoch: 1 [12288/46200]	Loss: 2.5992	LR: 0.025967
Training Epoch: 1 [12544/46200]	Loss: 2.5306	LR: 0.026519
Training Epoch: 1 [12800/46200]	Loss: 2.5921	LR: 0.027072
Training Epoch: 1 [13056/46200]	Loss: 2.6178	LR: 0.027624
Training Epoch: 1 [13312/46200]	Loss: 2.5732	LR: 0.028177
Training Epoch: 1 [13568/46200]	Loss: 2.5459	LR: 0.028729
Training Epoch: 1 [13824/46200]	Loss: 2.5090	LR: 0.029282
Training Epoch: 1 [14080/46200]	Loss: 2.5226	LR: 0.029834
Training Epoch: 1 [14336/46200]	Loss: 2.5205	LR: 0.030387
Training Epoch: 1 [14592/46200]	Loss: 2.5751	LR: 0.030939
Training Epoch: 1 [14848/46200]	Loss: 2.5596	LR: 0.031492
Training Epoch: 1 [15104/46200]	Loss: 2.4309	LR: 0.032044
Training Epoch: 1 [15360/46200]	Loss: 2.5720	LR: 0.032597
Training Epoch: 1 [15616/46200]	Loss: 2.5503	LR: 0.033149
Training Epoch: 1 [15872/46200]	Loss: 2.4843	LR: 0.033702
Training Epoch: 1 [16128/46200]	Loss: 2.5568	LR: 0.034254
Training Epoch: 1 [16384/46200]	Loss: 2.5626	LR: 0.034807
Training Epoch: 1 [16640/46200]	Loss: 2.5470	LR: 0.035359
Training Epoch: 1 [16896/46200]	Loss: 2.5275	LR: 0.035912
Training Epoch: 1 [17152/46200]	Loss: 2.5284	LR: 0.036464
Training Epoch: 1 [17408/46200]	Loss: 2.5830	LR: 0.037017
Training Epoch: 1 [17664/46200]	Loss: 2.4937	LR: 0.037569
Training Epoch: 1 [17920/46200]	Loss: 2.5146	LR: 0.038122
Training Epoch: 1 [18176/46200]	Loss: 2.5390	LR: 0.038674
Training Epoch: 1 [18432/46200]	Loss: 2.5911	LR: 0.039227
Training Epoch: 1 [18688/46200]	Loss: 2.4978	LR: 0.039779
Training Epoch: 1 [18944/46200]	Loss: 2.5222	LR: 0.040331
Training Epoch: 1 [19200/46200]	Loss: 2.5093	LR: 0.040884
Training Epoch: 1 [19456/46200]	Loss: 2.4418	LR: 0.041436
Training Epoch: 1 [19712/46200]	Loss: 2.5436	LR: 0.041989
Training Epoch: 1 [19968/46200]	Loss: 2.4839	LR: 0.042541
Training Epoch: 1 [20224/46200]	Loss: 2.4819	LR: 0.043094
Training Epoch: 1 [20480/46200]	Loss: 2.5396	LR: 0.043646
Training Epoch: 1 [20736/46200]	Loss: 2.5262	LR: 0.044199
Training Epoch: 1 [20992/46200]	Loss: 2.5716	LR: 0.044751
Training Epoch: 1 [21248/46200]	Loss: 2.3003	LR: 0.045304
Training Epoch: 1 [21504/46200]	Loss: 2.3777	LR: 0.045856
Training Epoch: 1 [21760/46200]	Loss: 2.4206	LR: 0.046409
Training Epoch: 1 [22016/46200]	Loss: 2.5534	LR: 0.046961
Training Epoch: 1 [22272/46200]	Loss: 2.5560	LR: 0.047514
Training Epoch: 1 [22528/46200]	Loss: 2.5706	LR: 0.048066
Training Epoch: 1 [22784/46200]	Loss: 2.5639	LR: 0.048619
Training Epoch: 1 [23040/46200]	Loss: 2.3887	LR: 0.049171
Training Epoch: 1 [23296/46200]	Loss: 2.4465	LR: 0.049724
Training Epoch: 1 [23552/46200]	Loss: 2.5764	LR: 0.050276
Training Epoch: 1 [23808/46200]	Loss: 2.5031	LR: 0.050829
Training Epoch: 1 [24064/46200]	Loss: 2.4861	LR: 0.051381
Training Epoch: 1 [24320/46200]	Loss: 2.4664	LR: 0.051934
Training Epoch: 1 [24576/46200]	Loss: 2.4151	LR: 0.052486
Training Epoch: 1 [24832/46200]	Loss: 2.4297	LR: 0.053039
Training Epoch: 1 [25088/46200]	Loss: 2.4673	LR: 0.053591
Training Epoch: 1 [25344/46200]	Loss: 2.4642	LR: 0.054144
Training Epoch: 1 [25600/46200]	Loss: 2.4691	LR: 0.054696
Training Epoch: 1 [25856/46200]	Loss: 2.4180	LR: 0.055249
Training Epoch: 1 [26112/46200]	Loss: 2.4314	LR: 0.055801
Training Epoch: 1 [26368/46200]	Loss: 2.3831	LR: 0.056354
Training Epoch: 1 [26624/46200]	Loss: 2.3808	LR: 0.056906
Training Epoch: 1 [26880/46200]	Loss: 2.3791	LR: 0.057459
Training Epoch: 1 [27136/46200]	Loss: 2.3966	LR: 0.058011
Training Epoch: 1 [27392/46200]	Loss: 2.4058	LR: 0.058564
Training Epoch: 1 [27648/46200]	Loss: 2.5018	LR: 0.059116
Training Epoch: 1 [27904/46200]	Loss: 2.3934	LR: 0.059669
Training Epoch: 1 [28160/46200]	Loss: 2.4698	LR: 0.060221
Training Epoch: 1 [28416/46200]	Loss: 2.5074	LR: 0.060773
Training Epoch: 1 [28672/46200]	Loss: 2.4272	LR: 0.061326
Training Epoch: 1 [28928/46200]	Loss: 2.3694	LR: 0.061878
Training Epoch: 1 [29184/46200]	Loss: 2.5065	LR: 0.062431
Training Epoch: 1 [29440/46200]	Loss: 2.5059	LR: 0.062983
Training Epoch: 1 [29696/46200]	Loss: 2.4303	LR: 0.063536
Training Epoch: 1 [29952/46200]	Loss: 2.4102	LR: 0.064088
Training Epoch: 1 [30208/46200]	Loss: 2.5039	LR: 0.064641
Training Epoch: 1 [30464/46200]	Loss: 2.4356	LR: 0.065193
Training Epoch: 1 [30720/46200]	Loss: 2.4441	LR: 0.065746
Training Epoch: 1 [30976/46200]	Loss: 2.5174	LR: 0.066298
Training Epoch: 1 [31232/46200]	Loss: 2.4004	LR: 0.066851
Training Epoch: 1 [31488/46200]	Loss: 2.3668	LR: 0.067403
Training Epoch: 1 [31744/46200]	Loss: 2.4231	LR: 0.067956
Training Epoch: 1 [32000/46200]	Loss: 2.4973	LR: 0.068508
Training Epoch: 1 [32256/46200]	Loss: 2.4131	LR: 0.069061
Training Epoch: 1 [32512/46200]	Loss: 2.4412	LR: 0.069613
Training Epoch: 1 [32768/46200]	Loss: 2.3699	LR: 0.070166
Training Epoch: 1 [33024/46200]	Loss: 2.3648	LR: 0.070718
Training Epoch: 1 [33280/46200]	Loss: 2.3685	LR: 0.071271
Training Epoch: 1 [33536/46200]	Loss: 2.4242	LR: 0.071823
Training Epoch: 1 [33792/46200]	Loss: 2.4351	LR: 0.072376
Training Epoch: 1 [34048/46200]	Loss: 2.4743	LR: 0.072928
Training Epoch: 1 [34304/46200]	Loss: 2.4197	LR: 0.073481
Training Epoch: 1 [34560/46200]	Loss: 2.3931	LR: 0.074033
Training Epoch: 1 [34816/46200]	Loss: 2.3522	LR: 0.074586
Training Epoch: 1 [35072/46200]	Loss: 2.4412	LR: 0.075138
Training Epoch: 1 [35328/46200]	Loss: 2.3886	LR: 0.075691
Training Epoch: 1 [35584/46200]	Loss: 2.3855	LR: 0.076243
Training Epoch: 1 [35840/46200]	Loss: 2.4349	LR: 0.076796
Training Epoch: 1 [36096/46200]	Loss: 2.4356	LR: 0.077348
Training Epoch: 1 [36352/46200]	Loss: 2.5578	LR: 0.077901
Training Epoch: 1 [36608/46200]	Loss: 2.3709	LR: 0.078453
Training Epoch: 1 [36864/46200]	Loss: 2.4761	LR: 0.079006
Training Epoch: 1 [37120/46200]	Loss: 2.5057	LR: 0.079558
Training Epoch: 1 [37376/46200]	Loss: 2.3798	LR: 0.080110
Training Epoch: 1 [37632/46200]	Loss: 2.3616	LR: 0.080663
Training Epoch: 1 [37888/46200]	Loss: 2.4484	LR: 0.081215
Training Epoch: 1 [38144/46200]	Loss: 2.3052	LR: 0.081768
Training Epoch: 1 [38400/46200]	Loss: 2.3407	LR: 0.082320
Training Epoch: 1 [38656/46200]	Loss: 2.3083	LR: 0.082873
Training Epoch: 1 [38912/46200]	Loss: 2.3723	LR: 0.083425
Training Epoch: 1 [39168/46200]	Loss: 2.3065	LR: 0.083978
Training Epoch: 1 [39424/46200]	Loss: 2.3615	LR: 0.084530
Training Epoch: 1 [39680/46200]	Loss: 2.4088	LR: 0.085083
Training Epoch: 1 [39936/46200]	Loss: 2.4372	LR: 0.085635
Training Epoch: 1 [40192/46200]	Loss: 2.4620	LR: 0.086188
Training Epoch: 1 [40448/46200]	Loss: 2.3156	LR: 0.086740
Training Epoch: 1 [40704/46200]	Loss: 2.3366	LR: 0.087293
Training Epoch: 1 [40960/46200]	Loss: 2.5067	LR: 0.087845
Training Epoch: 1 [41216/46200]	Loss: 2.5134	LR: 0.088398
Training Epoch: 1 [41472/46200]	Loss: 2.3298	LR: 0.088950
Training Epoch: 1 [41728/46200]	Loss: 2.4224	LR: 0.089503
Training Epoch: 1 [41984/46200]	Loss: 2.2877	LR: 0.090055
Training Epoch: 1 [42240/46200]	Loss: 2.4421	LR: 0.090608
Training Epoch: 1 [42496/46200]	Loss: 2.2821	LR: 0.091160
Training Epoch: 1 [42752/46200]	Loss: 2.3992	LR: 0.091713
Training Epoch: 1 [43008/46200]	Loss: 2.3457	LR: 0.092265
Training Epoch: 1 [43264/46200]	Loss: 2.2811	LR: 0.092818
Training Epoch: 1 [43520/46200]	Loss: 2.3453	LR: 0.093370
Training Epoch: 1 [43776/46200]	Loss: 2.2572	LR: 0.093923
Training Epoch: 1 [44032/46200]	Loss: 2.2317	LR: 0.094475
Training Epoch: 1 [44288/46200]	Loss: 2.3538	LR: 0.095028
Training Epoch: 1 [44544/46200]	Loss: 2.2709	LR: 0.095580
Training Epoch: 1 [44800/46200]	Loss: 2.3091	LR: 0.096133
Training Epoch: 1 [45056/46200]	Loss: 2.2968	LR: 0.096685
Training Epoch: 1 [45312/46200]	Loss: 2.3726	LR: 0.097238
Training Epoch: 1 [45568/46200]	Loss: 2.2943	LR: 0.097790
Training Epoch: 1 [45824/46200]	Loss: 2.3345	LR: 0.098343
Training Epoch: 1 [46080/46200]	Loss: 2.2130	LR: 0.098895
Training Epoch: 1 [46200/46200]	Loss: 2.5147	LR: 0.099448
Epoch 1 - Average Train Loss: 2.5352, Train Accuracy: 0.2141
Epoch 1 training time consumed: 26.17s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0099, Accuracy: 0.2450, Time consumed:1.91s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_17h_38m_23s/AllCNN-Cifar20-seed6-ret25-1-best.pth
Training Epoch: 2 [256/46200]	Loss: 2.3266	LR: 0.100000
Training Epoch: 2 [512/46200]	Loss: 2.2818	LR: 0.100000
Training Epoch: 2 [768/46200]	Loss: 2.3258	LR: 0.100000
Training Epoch: 2 [1024/46200]	Loss: 2.3872	LR: 0.100000
Training Epoch: 2 [1280/46200]	Loss: 2.3479	LR: 0.100000
Training Epoch: 2 [1536/46200]	Loss: 2.3568	LR: 0.100000
Training Epoch: 2 [1792/46200]	Loss: 2.1974	LR: 0.100000
Training Epoch: 2 [2048/46200]	Loss: 2.2720	LR: 0.100000
Training Epoch: 2 [2304/46200]	Loss: 2.4556	LR: 0.100000
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Epoch 2 - Average Train Loss: 2.1893, Train Accuracy: 0.3149
Epoch 2 training time consumed: 24.90s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0095, Accuracy: 0.3155, Time consumed:0.85s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_17h_38m_23s/AllCNN-Cifar20-seed6-ret25-2-best.pth
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Training Epoch: 3 [46200/46200]	Loss: 1.8221	LR: 0.100000
Epoch 3 - Average Train Loss: 1.9574, Train Accuracy: 0.3848
Epoch 3 training time consumed: 24.93s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0083, Accuracy: 0.3686, Time consumed:0.86s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_17h_38m_23s/AllCNN-Cifar20-seed6-ret25-3-best.pth
Training Epoch: 4 [256/46200]	Loss: 1.8597	LR: 0.100000
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Training Epoch: 4 [46200/46200]	Loss: 1.7833	LR: 0.100000
Epoch 4 - Average Train Loss: 1.7933, Train Accuracy: 0.4334
Epoch 4 training time consumed: 24.89s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0075, Accuracy: 0.4314, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_17h_38m_23s/AllCNN-Cifar20-seed6-ret25-4-best.pth
Training Epoch: 5 [256/46200]	Loss: 1.6032	LR: 0.100000
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Epoch 5 - Average Train Loss: 1.6343, Train Accuracy: 0.4835
Epoch 5 training time consumed: 24.79s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0069, Accuracy: 0.4597, Time consumed:0.83s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_17h_38m_23s/AllCNN-Cifar20-seed6-ret25-5-best.pth
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Training Epoch: 6 [46200/46200]	Loss: 1.4008	LR: 0.100000
Epoch 6 - Average Train Loss: 1.5055, Train Accuracy: 0.5228
Epoch 6 training time consumed: 24.98s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0068, Accuracy: 0.4894, Time consumed:0.82s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_17h_38m_23s/AllCNN-Cifar20-seed6-ret25-6-best.pth
Training Epoch: 7 [256/46200]	Loss: 1.3346	LR: 0.100000
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Training Epoch: 7 [46200/46200]	Loss: 1.3171	LR: 0.100000
Epoch 7 - Average Train Loss: 1.4022, Train Accuracy: 0.5509
Epoch 7 training time consumed: 24.88s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0062, Accuracy: 0.5168, Time consumed:0.86s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_17h_38m_23s/AllCNN-Cifar20-seed6-ret25-7-best.pth
Training Epoch: 8 [256/46200]	Loss: 1.3274	LR: 0.100000
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Epoch 8 - Average Train Loss: 1.3074, Train Accuracy: 0.5812
Epoch 8 training time consumed: 25.06s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0060, Accuracy: 0.5435, Time consumed:0.85s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_17h_38m_23s/AllCNN-Cifar20-seed6-ret25-8-best.pth
Training Epoch: 9 [256/46200]	Loss: 1.3584	LR: 0.100000
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Training Epoch: 9 [46200/46200]	Loss: 1.4164	LR: 0.100000
Epoch 9 - Average Train Loss: 1.2351, Train Accuracy: 0.6065
Epoch 9 training time consumed: 24.95s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0058, Accuracy: 0.5535, Time consumed:0.86s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_17h_38m_23s/AllCNN-Cifar20-seed6-ret25-9-best.pth
Training Epoch: 10 [256/46200]	Loss: 1.1549	LR: 0.100000
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Epoch 10 - Average Train Loss: 1.1754, Train Accuracy: 0.6221
Epoch 10 training time consumed: 25.44s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0054, Accuracy: 0.5805, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_17h_38m_23s/AllCNN-Cifar20-seed6-ret25-10-best.pth
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Training Epoch: 11 [46200/46200]	Loss: 1.1918	LR: 0.100000
Epoch 11 - Average Train Loss: 1.1286, Train Accuracy: 0.6381
Epoch 11 training time consumed: 24.86s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0069, Accuracy: 0.5352, Time consumed:0.85s
Training Epoch: 12 [256/46200]	Loss: 1.0296	LR: 0.100000
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Training Epoch: 12 [46200/46200]	Loss: 1.1409	LR: 0.100000
Epoch 12 - Average Train Loss: 1.0860, Train Accuracy: 0.6498
Epoch 12 training time consumed: 24.93s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0055, Accuracy: 0.5812, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_17h_38m_23s/AllCNN-Cifar20-seed6-ret25-12-best.pth
Training Epoch: 13 [256/46200]	Loss: 0.9881	LR: 0.100000
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Training Epoch: 13 [46200/46200]	Loss: 1.2296	LR: 0.100000
Epoch 13 - Average Train Loss: 1.0466, Train Accuracy: 0.6626
Epoch 13 training time consumed: 24.92s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0057, Accuracy: 0.5828, Time consumed:0.84s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_17h_38m_23s/AllCNN-Cifar20-seed6-ret25-13-best.pth
Training Epoch: 14 [256/46200]	Loss: 0.9168	LR: 0.100000
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Training Epoch: 14 [46200/46200]	Loss: 1.2343	LR: 0.100000
Epoch 14 - Average Train Loss: 1.0220, Train Accuracy: 0.6715
Epoch 14 training time consumed: 24.98s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0054, Accuracy: 0.6006, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_17h_38m_23s/AllCNN-Cifar20-seed6-ret25-14-best.pth
Training Epoch: 15 [256/46200]	Loss: 1.0136	LR: 0.020000
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Training Epoch: 15 [1792/46200]	Loss: 0.9837	LR: 0.020000
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Training Epoch: 15 [46200/46200]	Loss: 0.6886	LR: 0.020000
Epoch 15 - Average Train Loss: 0.7851, Train Accuracy: 0.7494
Epoch 15 training time consumed: 25.02s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0034, Accuracy: 0.7301, Time consumed:0.86s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_17h_38m_23s/AllCNN-Cifar20-seed6-ret25-15-best.pth
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Training Epoch: 16 [46080/46200]	Loss: 0.6070	LR: 0.020000
Training Epoch: 16 [46200/46200]	Loss: 0.7030	LR: 0.020000
Epoch 16 - Average Train Loss: 0.7104, Train Accuracy: 0.7728
Epoch 16 training time consumed: 25.02s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0033, Accuracy: 0.7398, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_17h_38m_23s/AllCNN-Cifar20-seed6-ret25-16-best.pth
Training Epoch: 17 [256/46200]	Loss: 0.6287	LR: 0.020000
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Training Epoch: 17 [46200/46200]	Loss: 0.7466	LR: 0.020000
Epoch 17 - Average Train Loss: 0.6809, Train Accuracy: 0.7810
Epoch 17 training time consumed: 25.04s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0032, Accuracy: 0.7460, Time consumed:0.85s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_17h_38m_23s/AllCNN-Cifar20-seed6-ret25-17-best.pth
Training Epoch: 18 [256/46200]	Loss: 0.6689	LR: 0.020000
Training Epoch: 18 [512/46200]	Loss: 0.6533	LR: 0.020000
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Training Epoch: 18 [7936/46200]	Loss: 0.5974	LR: 0.020000
Training Epoch: 18 [8192/46200]	Loss: 0.6702	LR: 0.020000
Training Epoch: 18 [8448/46200]	Loss: 0.8247	LR: 0.020000
Training Epoch: 18 [8704/46200]	Loss: 0.6333	LR: 0.020000
Training Epoch: 18 [8960/46200]	Loss: 0.7484	LR: 0.020000
Training Epoch: 18 [9216/46200]	Loss: 0.6125	LR: 0.020000
Training Epoch: 18 [9472/46200]	Loss: 0.5308	LR: 0.020000
Training Epoch: 18 [9728/46200]	Loss: 0.6237	LR: 0.020000
Training Epoch: 18 [9984/46200]	Loss: 0.6086	LR: 0.020000
Training Epoch: 18 [10240/46200]	Loss: 0.6720	LR: 0.020000
Training Epoch: 18 [10496/46200]	Loss: 0.5877	LR: 0.020000
Training Epoch: 18 [10752/46200]	Loss: 0.5397	LR: 0.020000
Training Epoch: 18 [11008/46200]	Loss: 0.6467	LR: 0.020000
Training Epoch: 18 [11264/46200]	Loss: 0.6763	LR: 0.020000
Training Epoch: 18 [11520/46200]	Loss: 0.5608	LR: 0.020000
Training Epoch: 18 [11776/46200]	Loss: 0.5636	LR: 0.020000
Training Epoch: 18 [12032/46200]	Loss: 0.6922	LR: 0.020000
Training Epoch: 18 [12288/46200]	Loss: 0.5886	LR: 0.020000
Training Epoch: 18 [12544/46200]	Loss: 0.6063	LR: 0.020000
Training Epoch: 18 [12800/46200]	Loss: 0.6427	LR: 0.020000
Training Epoch: 18 [13056/46200]	Loss: 0.7072	LR: 0.020000
Training Epoch: 18 [13312/46200]	Loss: 0.5935	LR: 0.020000
Training Epoch: 18 [13568/46200]	Loss: 0.7268	LR: 0.020000
Training Epoch: 18 [13824/46200]	Loss: 0.7699	LR: 0.020000
Training Epoch: 18 [14080/46200]	Loss: 0.7308	LR: 0.020000
Training Epoch: 18 [14336/46200]	Loss: 0.6018	LR: 0.020000
Training Epoch: 18 [14592/46200]	Loss: 0.7044	LR: 0.020000
Training Epoch: 18 [14848/46200]	Loss: 0.6772	LR: 0.020000
Training Epoch: 18 [15104/46200]	Loss: 0.6611	LR: 0.020000
Training Epoch: 18 [15360/46200]	Loss: 0.7832	LR: 0.020000
Training Epoch: 18 [15616/46200]	Loss: 0.6896	LR: 0.020000
Training Epoch: 18 [15872/46200]	Loss: 0.6962	LR: 0.020000
Training Epoch: 18 [16128/46200]	Loss: 0.6440	LR: 0.020000
Training Epoch: 18 [16384/46200]	Loss: 0.7710	LR: 0.020000
Training Epoch: 18 [16640/46200]	Loss: 0.6947	LR: 0.020000
Training Epoch: 18 [16896/46200]	Loss: 0.6313	LR: 0.020000
Training Epoch: 18 [17152/46200]	Loss: 0.5413	LR: 0.020000
Training Epoch: 18 [17408/46200]	Loss: 0.5588	LR: 0.020000
Training Epoch: 18 [17664/46200]	Loss: 0.5560	LR: 0.020000
Training Epoch: 18 [17920/46200]	Loss: 0.6985	LR: 0.020000
Training Epoch: 18 [18176/46200]	Loss: 0.6216	LR: 0.020000
Training Epoch: 18 [18432/46200]	Loss: 0.6750	LR: 0.020000
Training Epoch: 18 [18688/46200]	Loss: 0.6251	LR: 0.020000
Training Epoch: 18 [18944/46200]	Loss: 0.6927	LR: 0.020000
Training Epoch: 18 [19200/46200]	Loss: 0.6051	LR: 0.020000
Training Epoch: 18 [19456/46200]	Loss: 0.5873	LR: 0.020000
Training Epoch: 18 [19712/46200]	Loss: 0.5846	LR: 0.020000
Training Epoch: 18 [19968/46200]	Loss: 0.5020	LR: 0.020000
Training Epoch: 18 [20224/46200]	Loss: 0.6401	LR: 0.020000
Training Epoch: 18 [20480/46200]	Loss: 0.6919	LR: 0.020000
Training Epoch: 18 [20736/46200]	Loss: 0.6459	LR: 0.020000
Training Epoch: 18 [20992/46200]	Loss: 0.5280	LR: 0.020000
Training Epoch: 18 [21248/46200]	Loss: 0.6480	LR: 0.020000
Training Epoch: 18 [21504/46200]	Loss: 0.6256	LR: 0.020000
Training Epoch: 18 [21760/46200]	Loss: 0.6821	LR: 0.020000
Training Epoch: 18 [22016/46200]	Loss: 0.6992	LR: 0.020000
Training Epoch: 18 [22272/46200]	Loss: 0.7476	LR: 0.020000
Training Epoch: 18 [22528/46200]	Loss: 0.7281	LR: 0.020000
Training Epoch: 18 [22784/46200]	Loss: 0.6342	LR: 0.020000
Training Epoch: 18 [23040/46200]	Loss: 0.6629	LR: 0.020000
Training Epoch: 18 [23296/46200]	Loss: 0.7225	LR: 0.020000
Training Epoch: 18 [23552/46200]	Loss: 0.6416	LR: 0.020000
Training Epoch: 18 [23808/46200]	Loss: 0.5973	LR: 0.020000
Training Epoch: 18 [24064/46200]	Loss: 0.7994	LR: 0.020000
Training Epoch: 18 [24320/46200]	Loss: 0.6649	LR: 0.020000
Training Epoch: 18 [24576/46200]	Loss: 0.6783	LR: 0.020000
Training Epoch: 18 [24832/46200]	Loss: 0.6776	LR: 0.020000
Training Epoch: 18 [25088/46200]	Loss: 0.7362	LR: 0.020000
Training Epoch: 18 [25344/46200]	Loss: 0.7516	LR: 0.020000
Training Epoch: 18 [25600/46200]	Loss: 0.6086	LR: 0.020000
Training Epoch: 18 [25856/46200]	Loss: 0.6934	LR: 0.020000
Training Epoch: 18 [26112/46200]	Loss: 0.6127	LR: 0.020000
Training Epoch: 18 [26368/46200]	Loss: 0.7204	LR: 0.020000
Training Epoch: 18 [26624/46200]	Loss: 0.6402	LR: 0.020000
Training Epoch: 18 [26880/46200]	Loss: 0.6231	LR: 0.020000
Training Epoch: 18 [27136/46200]	Loss: 0.6264	LR: 0.020000
Training Epoch: 18 [27392/46200]	Loss: 0.6803	LR: 0.020000
Training Epoch: 18 [27648/46200]	Loss: 0.6940	LR: 0.020000
Training Epoch: 18 [27904/46200]	Loss: 0.7291	LR: 0.020000
Training Epoch: 18 [28160/46200]	Loss: 0.6266	LR: 0.020000
Training Epoch: 18 [28416/46200]	Loss: 0.6650	LR: 0.020000
Training Epoch: 18 [28672/46200]	Loss: 0.6270	LR: 0.020000
Training Epoch: 18 [28928/46200]	Loss: 0.8134	LR: 0.020000
Training Epoch: 18 [29184/46200]	Loss: 0.7738	LR: 0.020000
Training Epoch: 18 [29440/46200]	Loss: 0.6847	LR: 0.020000
Training Epoch: 18 [29696/46200]	Loss: 0.6617	LR: 0.020000
Training Epoch: 18 [29952/46200]	Loss: 0.6635	LR: 0.020000
Training Epoch: 18 [30208/46200]	Loss: 0.7099	LR: 0.020000
Training Epoch: 18 [30464/46200]	Loss: 0.7682	LR: 0.020000
Training Epoch: 18 [30720/46200]	Loss: 0.5900	LR: 0.020000
Training Epoch: 18 [30976/46200]	Loss: 0.5198	LR: 0.020000
Training Epoch: 18 [31232/46200]	Loss: 0.8198	LR: 0.020000
Training Epoch: 18 [31488/46200]	Loss: 0.7135	LR: 0.020000
Training Epoch: 18 [31744/46200]	Loss: 0.6765	LR: 0.020000
Training Epoch: 18 [32000/46200]	Loss: 0.5676	LR: 0.020000
Training Epoch: 18 [32256/46200]	Loss: 0.6434	LR: 0.020000
Training Epoch: 18 [32512/46200]	Loss: 0.7296	LR: 0.020000
Training Epoch: 18 [32768/46200]	Loss: 0.7772	LR: 0.020000
Training Epoch: 18 [33024/46200]	Loss: 0.5878	LR: 0.020000
Training Epoch: 18 [33280/46200]	Loss: 0.6034	LR: 0.020000
Training Epoch: 18 [33536/46200]	Loss: 0.6056	LR: 0.020000
Training Epoch: 18 [33792/46200]	Loss: 0.7430	LR: 0.020000
Training Epoch: 18 [34048/46200]	Loss: 0.6893	LR: 0.020000
Training Epoch: 18 [34304/46200]	Loss: 0.6895	LR: 0.020000
Training Epoch: 18 [34560/46200]	Loss: 0.6147	LR: 0.020000
Training Epoch: 18 [34816/46200]	Loss: 0.6254	LR: 0.020000
Training Epoch: 18 [35072/46200]	Loss: 0.6116	LR: 0.020000
Training Epoch: 18 [35328/46200]	Loss: 0.5093	LR: 0.020000
Training Epoch: 18 [35584/46200]	Loss: 0.8569	LR: 0.020000
Training Epoch: 18 [35840/46200]	Loss: 0.7451	LR: 0.020000
Training Epoch: 18 [36096/46200]	Loss: 0.7184	LR: 0.020000
Training Epoch: 18 [36352/46200]	Loss: 0.5937	LR: 0.020000
Training Epoch: 18 [36608/46200]	Loss: 0.7344	LR: 0.020000
Training Epoch: 18 [36864/46200]	Loss: 0.6305	LR: 0.020000
Training Epoch: 18 [37120/46200]	Loss: 0.5807	LR: 0.020000
Training Epoch: 18 [37376/46200]	Loss: 0.6109	LR: 0.020000
Training Epoch: 18 [37632/46200]	Loss: 0.7070	LR: 0.020000
Training Epoch: 18 [37888/46200]	Loss: 0.7545	LR: 0.020000
Training Epoch: 18 [38144/46200]	Loss: 0.6011	LR: 0.020000
Training Epoch: 18 [38400/46200]	Loss: 0.6881	LR: 0.020000
Training Epoch: 18 [38656/46200]	Loss: 0.7761	LR: 0.020000
Training Epoch: 18 [38912/46200]	Loss: 0.6979	LR: 0.020000
Training Epoch: 18 [39168/46200]	Loss: 0.7606	LR: 0.020000
Training Epoch: 18 [39424/46200]	Loss: 0.7503	LR: 0.020000
Training Epoch: 18 [39680/46200]	Loss: 0.5501	LR: 0.020000
Training Epoch: 18 [39936/46200]	Loss: 0.5830	LR: 0.020000
Training Epoch: 18 [40192/46200]	Loss: 0.7118	LR: 0.020000
Training Epoch: 18 [40448/46200]	Loss: 0.7174	LR: 0.020000
Training Epoch: 18 [40704/46200]	Loss: 0.6680	LR: 0.020000
Training Epoch: 18 [40960/46200]	Loss: 0.7058	LR: 0.020000
Training Epoch: 18 [41216/46200]	Loss: 0.6557	LR: 0.020000
Training Epoch: 18 [41472/46200]	Loss: 0.5612	LR: 0.020000
Training Epoch: 18 [41728/46200]	Loss: 0.7472	LR: 0.020000
Training Epoch: 18 [41984/46200]	Loss: 0.6809	LR: 0.020000
Training Epoch: 18 [42240/46200]	Loss: 0.8137	LR: 0.020000
Training Epoch: 18 [42496/46200]	Loss: 0.7342	LR: 0.020000
Training Epoch: 18 [42752/46200]	Loss: 0.6821	LR: 0.020000
Training Epoch: 18 [43008/46200]	Loss: 0.7385	LR: 0.020000
Training Epoch: 18 [43264/46200]	Loss: 0.6637	LR: 0.020000
Training Epoch: 18 [43520/46200]	Loss: 0.5069	LR: 0.020000
Training Epoch: 18 [43776/46200]	Loss: 0.6107	LR: 0.020000
Training Epoch: 18 [44032/46200]	Loss: 0.5189	LR: 0.020000
Training Epoch: 18 [44288/46200]	Loss: 0.6019	LR: 0.020000
Training Epoch: 18 [44544/46200]	Loss: 0.6803	LR: 0.020000
Training Epoch: 18 [44800/46200]	Loss: 0.6698	LR: 0.020000
Training Epoch: 18 [45056/46200]	Loss: 0.5722	LR: 0.020000
Training Epoch: 18 [45312/46200]	Loss: 0.7034	LR: 0.020000
Training Epoch: 18 [45568/46200]	Loss: 0.6963	LR: 0.020000
Training Epoch: 18 [45824/46200]	Loss: 0.6900	LR: 0.020000
Training Epoch: 18 [46080/46200]	Loss: 0.6041	LR: 0.020000
Training Epoch: 18 [46200/46200]	Loss: 0.6935	LR: 0.020000
Epoch 18 - Average Train Loss: 0.6575, Train Accuracy: 0.7891
Epoch 18 training time consumed: 25.09s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0034, Accuracy: 0.7351, Time consumed:0.88s
Training Epoch: 19 [256/46200]	Loss: 0.6309	LR: 0.020000
Training Epoch: 19 [512/46200]	Loss: 0.5001	LR: 0.020000
Training Epoch: 19 [768/46200]	Loss: 0.6043	LR: 0.020000
Training Epoch: 19 [1024/46200]	Loss: 0.5435	LR: 0.020000
Training Epoch: 19 [1280/46200]	Loss: 0.5366	LR: 0.020000
Training Epoch: 19 [1536/46200]	Loss: 0.6531	LR: 0.020000
Training Epoch: 19 [1792/46200]	Loss: 0.5894	LR: 0.020000
Training Epoch: 19 [2048/46200]	Loss: 0.5944	LR: 0.020000
Training Epoch: 19 [2304/46200]	Loss: 0.6214	LR: 0.020000
Training Epoch: 19 [2560/46200]	Loss: 0.5693	LR: 0.020000
Training Epoch: 19 [2816/46200]	Loss: 0.5809	LR: 0.020000
Training Epoch: 19 [3072/46200]	Loss: 0.5699	LR: 0.020000
Training Epoch: 19 [3328/46200]	Loss: 0.6214	LR: 0.020000
Training Epoch: 19 [3584/46200]	Loss: 0.6923	LR: 0.020000
Training Epoch: 19 [3840/46200]	Loss: 0.6467	LR: 0.020000
Training Epoch: 19 [4096/46200]	Loss: 0.6375	LR: 0.020000
Training Epoch: 19 [4352/46200]	Loss: 0.6780	LR: 0.020000
Training Epoch: 19 [4608/46200]	Loss: 0.6425	LR: 0.020000
Training Epoch: 19 [4864/46200]	Loss: 0.6687	LR: 0.020000
Training Epoch: 19 [5120/46200]	Loss: 0.5609	LR: 0.020000
Training Epoch: 19 [5376/46200]	Loss: 0.5827	LR: 0.020000
Training Epoch: 19 [5632/46200]	Loss: 0.6567	LR: 0.020000
Training Epoch: 19 [5888/46200]	Loss: 0.5736	LR: 0.020000
Training Epoch: 19 [6144/46200]	Loss: 0.5468	LR: 0.020000
Training Epoch: 19 [6400/46200]	Loss: 0.6645	LR: 0.020000
Training Epoch: 19 [6656/46200]	Loss: 0.6286	LR: 0.020000
Training Epoch: 19 [6912/46200]	Loss: 0.6339	LR: 0.020000
Training Epoch: 19 [7168/46200]	Loss: 0.6444	LR: 0.020000
Training Epoch: 19 [7424/46200]	Loss: 0.5650	LR: 0.020000
Training Epoch: 19 [7680/46200]	Loss: 0.4853	LR: 0.020000
Training Epoch: 19 [7936/46200]	Loss: 0.7576	LR: 0.020000
Training Epoch: 19 [8192/46200]	Loss: 0.5283	LR: 0.020000
Training Epoch: 19 [8448/46200]	Loss: 0.6718	LR: 0.020000
Training Epoch: 19 [8704/46200]	Loss: 0.5858	LR: 0.020000
Training Epoch: 19 [8960/46200]	Loss: 0.6499	LR: 0.020000
Training Epoch: 19 [9216/46200]	Loss: 0.5563	LR: 0.020000
Training Epoch: 19 [9472/46200]	Loss: 0.6187	LR: 0.020000
Training Epoch: 19 [9728/46200]	Loss: 0.5646	LR: 0.020000
Training Epoch: 19 [9984/46200]	Loss: 0.5986	LR: 0.020000
Training Epoch: 19 [10240/46200]	Loss: 0.5613	LR: 0.020000
Training Epoch: 19 [10496/46200]	Loss: 0.6342	LR: 0.020000
Training Epoch: 19 [10752/46200]	Loss: 0.5493	LR: 0.020000
Training Epoch: 19 [11008/46200]	Loss: 0.6072	LR: 0.020000
Training Epoch: 19 [11264/46200]	Loss: 0.7059	LR: 0.020000
Training Epoch: 19 [11520/46200]	Loss: 0.6841	LR: 0.020000
Training Epoch: 19 [11776/46200]	Loss: 0.6316	LR: 0.020000
Training Epoch: 19 [12032/46200]	Loss: 0.6004	LR: 0.020000
Training Epoch: 19 [12288/46200]	Loss: 0.5135	LR: 0.020000
Training Epoch: 19 [12544/46200]	Loss: 0.5569	LR: 0.020000
Training Epoch: 19 [12800/46200]	Loss: 0.6484	LR: 0.020000
Training Epoch: 19 [13056/46200]	Loss: 0.6280	LR: 0.020000
Training Epoch: 19 [13312/46200]	Loss: 0.5475	LR: 0.020000
Training Epoch: 19 [13568/46200]	Loss: 0.6590	LR: 0.020000
Training Epoch: 19 [13824/46200]	Loss: 0.6312	LR: 0.020000
Training Epoch: 19 [14080/46200]	Loss: 0.5794	LR: 0.020000
Training Epoch: 19 [14336/46200]	Loss: 0.6261	LR: 0.020000
Training Epoch: 19 [14592/46200]	Loss: 0.5479	LR: 0.020000
Training Epoch: 19 [14848/46200]	Loss: 0.6475	LR: 0.020000
Training Epoch: 19 [15104/46200]	Loss: 0.6644	LR: 0.020000
Training Epoch: 19 [15360/46200]	Loss: 0.5992	LR: 0.020000
Training Epoch: 19 [15616/46200]	Loss: 0.6276	LR: 0.020000
Training Epoch: 19 [15872/46200]	Loss: 0.6425	LR: 0.020000
Training Epoch: 19 [16128/46200]	Loss: 0.7499	LR: 0.020000
Training Epoch: 19 [16384/46200]	Loss: 0.6343	LR: 0.020000
Training Epoch: 19 [16640/46200]	Loss: 0.6138	LR: 0.020000
Training Epoch: 19 [16896/46200]	Loss: 0.6558	LR: 0.020000
Training Epoch: 19 [17152/46200]	Loss: 0.5740	LR: 0.020000
Training Epoch: 19 [17408/46200]	Loss: 0.6559	LR: 0.020000
Training Epoch: 19 [17664/46200]	Loss: 0.4764	LR: 0.020000
Training Epoch: 19 [17920/46200]	Loss: 0.5923	LR: 0.020000
Training Epoch: 19 [18176/46200]	Loss: 0.6641	LR: 0.020000
Training Epoch: 19 [18432/46200]	Loss: 0.6004	LR: 0.020000
Training Epoch: 19 [18688/46200]	Loss: 0.6703	LR: 0.020000
Training Epoch: 19 [18944/46200]	Loss: 0.5790	LR: 0.020000
Training Epoch: 19 [19200/46200]	Loss: 0.7314	LR: 0.020000
Training Epoch: 19 [19456/46200]	Loss: 0.6947	LR: 0.020000
Training Epoch: 19 [19712/46200]	Loss: 0.6009	LR: 0.020000
Training Epoch: 19 [19968/46200]	Loss: 0.6236	LR: 0.020000
Training Epoch: 19 [20224/46200]	Loss: 0.6704	LR: 0.020000
Training Epoch: 19 [20480/46200]	Loss: 0.6181	LR: 0.020000
Training Epoch: 19 [20736/46200]	Loss: 0.7226	LR: 0.020000
Training Epoch: 19 [20992/46200]	Loss: 0.7404	LR: 0.020000
Training Epoch: 19 [21248/46200]	Loss: 0.6021	LR: 0.020000
Training Epoch: 19 [21504/46200]	Loss: 0.6738	LR: 0.020000
Training Epoch: 19 [21760/46200]	Loss: 0.8026	LR: 0.020000
Training Epoch: 19 [22016/46200]	Loss: 0.6246	LR: 0.020000
Training Epoch: 19 [22272/46200]	Loss: 0.6868	LR: 0.020000
Training Epoch: 19 [22528/46200]	Loss: 0.6659	LR: 0.020000
Training Epoch: 19 [22784/46200]	Loss: 0.6385	LR: 0.020000
Training Epoch: 19 [23040/46200]	Loss: 0.5761	LR: 0.020000
Training Epoch: 19 [23296/46200]	Loss: 0.5535	LR: 0.020000
Training Epoch: 19 [23552/46200]	Loss: 0.5961	LR: 0.020000
Training Epoch: 19 [23808/46200]	Loss: 0.7699	LR: 0.020000
Training Epoch: 19 [24064/46200]	Loss: 0.5882	LR: 0.020000
Training Epoch: 19 [24320/46200]	Loss: 0.7077	LR: 0.020000
Training Epoch: 19 [24576/46200]	Loss: 0.6824	LR: 0.020000
Training Epoch: 19 [24832/46200]	Loss: 0.6341	LR: 0.020000
Training Epoch: 19 [25088/46200]	Loss: 0.6998	LR: 0.020000
Training Epoch: 19 [25344/46200]	Loss: 0.6825	LR: 0.020000
Training Epoch: 19 [25600/46200]	Loss: 0.7478	LR: 0.020000
Training Epoch: 19 [25856/46200]	Loss: 0.6592	LR: 0.020000
Training Epoch: 19 [26112/46200]	Loss: 0.6262	LR: 0.020000
Training Epoch: 19 [26368/46200]	Loss: 0.5308	LR: 0.020000
Training Epoch: 19 [26624/46200]	Loss: 0.6569	LR: 0.020000
Training Epoch: 19 [26880/46200]	Loss: 0.6126	LR: 0.020000
Training Epoch: 19 [27136/46200]	Loss: 0.5914	LR: 0.020000
Training Epoch: 19 [27392/46200]	Loss: 0.6194	LR: 0.020000
Training Epoch: 19 [27648/46200]	Loss: 0.6009	LR: 0.020000
Training Epoch: 19 [27904/46200]	Loss: 0.6046	LR: 0.020000
Training Epoch: 19 [28160/46200]	Loss: 0.6810	LR: 0.020000
Training Epoch: 19 [28416/46200]	Loss: 0.6485	LR: 0.020000
Training Epoch: 19 [28672/46200]	Loss: 0.7104	LR: 0.020000
Training Epoch: 19 [28928/46200]	Loss: 0.5714	LR: 0.020000
Training Epoch: 19 [29184/46200]	Loss: 0.5764	LR: 0.020000
Training Epoch: 19 [29440/46200]	Loss: 0.7055	LR: 0.020000
Training Epoch: 19 [29696/46200]	Loss: 0.6111	LR: 0.020000
Training Epoch: 19 [29952/46200]	Loss: 0.6828	LR: 0.020000
Training Epoch: 19 [30208/46200]	Loss: 0.7140	LR: 0.020000
Training Epoch: 19 [30464/46200]	Loss: 0.6166	LR: 0.020000
Training Epoch: 19 [30720/46200]	Loss: 0.6682	LR: 0.020000
Training Epoch: 19 [30976/46200]	Loss: 0.5450	LR: 0.020000
Training Epoch: 19 [31232/46200]	Loss: 0.6455	LR: 0.020000
Training Epoch: 19 [31488/46200]	Loss: 0.6154	LR: 0.020000
Training Epoch: 19 [31744/46200]	Loss: 0.6598	LR: 0.020000
Training Epoch: 19 [32000/46200]	Loss: 0.6236	LR: 0.020000
Training Epoch: 19 [32256/46200]	Loss: 0.7240	LR: 0.020000
Training Epoch: 19 [32512/46200]	Loss: 0.6750	LR: 0.020000
Training Epoch: 19 [32768/46200]	Loss: 0.5749	LR: 0.020000
Training Epoch: 19 [33024/46200]	Loss: 0.6175	LR: 0.020000
Training Epoch: 19 [33280/46200]	Loss: 0.6138	LR: 0.020000
Training Epoch: 19 [33536/46200]	Loss: 0.6062	LR: 0.020000
Training Epoch: 19 [33792/46200]	Loss: 0.6804	LR: 0.020000
Training Epoch: 19 [34048/46200]	Loss: 0.6436	LR: 0.020000
Training Epoch: 19 [34304/46200]	Loss: 0.7213	LR: 0.020000
Training Epoch: 19 [34560/46200]	Loss: 0.6754	LR: 0.020000
Training Epoch: 19 [34816/46200]	Loss: 0.6746	LR: 0.020000
Training Epoch: 19 [35072/46200]	Loss: 0.5395	LR: 0.020000
Training Epoch: 19 [35328/46200]	Loss: 0.5737	LR: 0.020000
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Training Epoch: 19 [46080/46200]	Loss: 0.6634	LR: 0.020000
Training Epoch: 19 [46200/46200]	Loss: 0.8317	LR: 0.020000
Epoch 19 - Average Train Loss: 0.6296, Train Accuracy: 0.7972
Epoch 19 training time consumed: 24.97s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0032, Accuracy: 0.7474, Time consumed:0.87s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_17h_38m_23s/AllCNN-Cifar20-seed6-ret25-19-best.pth
Training Epoch: 20 [256/46200]	Loss: 0.4939	LR: 0.020000
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Training Epoch: 20 [46200/46200]	Loss: 0.6704	LR: 0.020000
Epoch 20 - Average Train Loss: 0.6175, Train Accuracy: 0.8002
Epoch 20 training time consumed: 24.93s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0035, Accuracy: 0.7337, Time consumed:0.85s
Training Epoch: 21 [256/46200]	Loss: 0.5729	LR: 0.020000
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Training Epoch: 21 [46200/46200]	Loss: 0.6473	LR: 0.020000
Epoch 21 - Average Train Loss: 0.6019, Train Accuracy: 0.8053
Epoch 21 training time consumed: 25.08s
Evaluating Network.....
Test set: Epoch: 21, Average loss: 0.0033, Accuracy: 0.7481, Time consumed:0.82s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_17h_38m_23s/AllCNN-Cifar20-seed6-ret25-21-best.pth
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Training Epoch: 22 [41984/46200]	Loss: 0.6395	LR: 0.020000
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Training Epoch: 22 [42496/46200]	Loss: 0.5271	LR: 0.020000
Training Epoch: 22 [42752/46200]	Loss: 0.5916	LR: 0.020000
Training Epoch: 22 [43008/46200]	Loss: 0.5290	LR: 0.020000
Training Epoch: 22 [43264/46200]	Loss: 0.6009	LR: 0.020000
Training Epoch: 22 [43520/46200]	Loss: 0.5899	LR: 0.020000
Training Epoch: 22 [43776/46200]	Loss: 0.5602	LR: 0.020000
Training Epoch: 22 [44032/46200]	Loss: 0.5137	LR: 0.020000
Training Epoch: 22 [44288/46200]	Loss: 0.6487	LR: 0.020000
Training Epoch: 22 [44544/46200]	Loss: 0.5096	LR: 0.020000
Training Epoch: 22 [44800/46200]	Loss: 0.5555	LR: 0.020000
Training Epoch: 22 [45056/46200]	Loss: 0.5913	LR: 0.020000
Training Epoch: 22 [45312/46200]	Loss: 0.5750	LR: 0.020000
Training Epoch: 22 [45568/46200]	Loss: 0.6092	LR: 0.020000
Training Epoch: 22 [45824/46200]	Loss: 0.6200	LR: 0.020000
Training Epoch: 22 [46080/46200]	Loss: 0.5492	LR: 0.020000
Training Epoch: 22 [46200/46200]	Loss: 0.7554	LR: 0.020000
Epoch 22 - Average Train Loss: 0.5881, Train Accuracy: 0.8093
Epoch 22 training time consumed: 25.03s
Evaluating Network.....
Test set: Epoch: 22, Average loss: 0.0035, Accuracy: 0.7351, Time consumed:0.88s
Training Epoch: 23 [256/46200]	Loss: 0.5379	LR: 0.020000
Training Epoch: 23 [512/46200]	Loss: 0.5586	LR: 0.020000
Training Epoch: 23 [768/46200]	Loss: 0.5034	LR: 0.020000
Training Epoch: 23 [1024/46200]	Loss: 0.5284	LR: 0.020000
Training Epoch: 23 [1280/46200]	Loss: 0.5871	LR: 0.020000
Training Epoch: 23 [1536/46200]	Loss: 0.6361	LR: 0.020000
Training Epoch: 23 [1792/46200]	Loss: 0.6170	LR: 0.020000
Training Epoch: 23 [2048/46200]	Loss: 0.5700	LR: 0.020000
Training Epoch: 23 [2304/46200]	Loss: 0.5914	LR: 0.020000
Training Epoch: 23 [2560/46200]	Loss: 0.5837	LR: 0.020000
Training Epoch: 23 [2816/46200]	Loss: 0.4743	LR: 0.020000
Training Epoch: 23 [3072/46200]	Loss: 0.6025	LR: 0.020000
Training Epoch: 23 [3328/46200]	Loss: 0.5197	LR: 0.020000
Training Epoch: 23 [3584/46200]	Loss: 0.5632	LR: 0.020000
Training Epoch: 23 [3840/46200]	Loss: 0.5615	LR: 0.020000
Training Epoch: 23 [4096/46200]	Loss: 0.5771	LR: 0.020000
Training Epoch: 23 [4352/46200]	Loss: 0.5884	LR: 0.020000
Training Epoch: 23 [4608/46200]	Loss: 0.5638	LR: 0.020000
Training Epoch: 23 [4864/46200]	Loss: 0.6316	LR: 0.020000
Training Epoch: 23 [5120/46200]	Loss: 0.6138	LR: 0.020000
Training Epoch: 23 [5376/46200]	Loss: 0.6171	LR: 0.020000
Training Epoch: 23 [5632/46200]	Loss: 0.5472	LR: 0.020000
Training Epoch: 23 [5888/46200]	Loss: 0.5651	LR: 0.020000
Training Epoch: 23 [6144/46200]	Loss: 0.5723	LR: 0.020000
Training Epoch: 23 [6400/46200]	Loss: 0.5155	LR: 0.020000
Training Epoch: 23 [6656/46200]	Loss: 0.5769	LR: 0.020000
Training Epoch: 23 [6912/46200]	Loss: 0.5388	LR: 0.020000
Training Epoch: 23 [7168/46200]	Loss: 0.4481	LR: 0.020000
Training Epoch: 23 [7424/46200]	Loss: 0.6022	LR: 0.020000
Training Epoch: 23 [7680/46200]	Loss: 0.6454	LR: 0.020000
Training Epoch: 23 [7936/46200]	Loss: 0.5981	LR: 0.020000
Training Epoch: 23 [8192/46200]	Loss: 0.6853	LR: 0.020000
Training Epoch: 23 [8448/46200]	Loss: 0.5596	LR: 0.020000
Training Epoch: 23 [8704/46200]	Loss: 0.5336	LR: 0.020000
Training Epoch: 23 [8960/46200]	Loss: 0.5460	LR: 0.020000
Training Epoch: 23 [9216/46200]	Loss: 0.5703	LR: 0.020000
Training Epoch: 23 [9472/46200]	Loss: 0.6074	LR: 0.020000
Training Epoch: 23 [9728/46200]	Loss: 0.4910	LR: 0.020000
Training Epoch: 23 [9984/46200]	Loss: 0.5799	LR: 0.020000
Training Epoch: 23 [10240/46200]	Loss: 0.7049	LR: 0.020000
Training Epoch: 23 [10496/46200]	Loss: 0.5594	LR: 0.020000
Training Epoch: 23 [10752/46200]	Loss: 0.5738	LR: 0.020000
Training Epoch: 23 [11008/46200]	Loss: 0.5046	LR: 0.020000
Training Epoch: 23 [11264/46200]	Loss: 0.7066	LR: 0.020000
Training Epoch: 23 [11520/46200]	Loss: 0.4415	LR: 0.020000
Training Epoch: 23 [11776/46200]	Loss: 0.4977	LR: 0.020000
Training Epoch: 23 [12032/46200]	Loss: 0.5713	LR: 0.020000
Training Epoch: 23 [12288/46200]	Loss: 0.5542	LR: 0.020000
Training Epoch: 23 [12544/46200]	Loss: 0.6037	LR: 0.020000
Training Epoch: 23 [12800/46200]	Loss: 0.5805	LR: 0.020000
Training Epoch: 23 [13056/46200]	Loss: 0.6334	LR: 0.020000
Training Epoch: 23 [13312/46200]	Loss: 0.6220	LR: 0.020000
Training Epoch: 23 [13568/46200]	Loss: 0.4087	LR: 0.020000
Training Epoch: 23 [13824/46200]	Loss: 0.6643	LR: 0.020000
Training Epoch: 23 [14080/46200]	Loss: 0.5744	LR: 0.020000
Training Epoch: 23 [14336/46200]	Loss: 0.5129	LR: 0.020000
Training Epoch: 23 [14592/46200]	Loss: 0.5690	LR: 0.020000
Training Epoch: 23 [14848/46200]	Loss: 0.6779	LR: 0.020000
Training Epoch: 23 [15104/46200]	Loss: 0.4991	LR: 0.020000
Training Epoch: 23 [15360/46200]	Loss: 0.4552	LR: 0.020000
Training Epoch: 23 [15616/46200]	Loss: 0.5253	LR: 0.020000
Training Epoch: 23 [15872/46200]	Loss: 0.4915	LR: 0.020000
Training Epoch: 23 [16128/46200]	Loss: 0.6024	LR: 0.020000
Training Epoch: 23 [16384/46200]	Loss: 0.5137	LR: 0.020000
Training Epoch: 23 [16640/46200]	Loss: 0.5291	LR: 0.020000
Training Epoch: 23 [16896/46200]	Loss: 0.6691	LR: 0.020000
Training Epoch: 23 [17152/46200]	Loss: 0.5193	LR: 0.020000
Training Epoch: 23 [17408/46200]	Loss: 0.6035	LR: 0.020000
Training Epoch: 23 [17664/46200]	Loss: 0.5352	LR: 0.020000
Training Epoch: 23 [17920/46200]	Loss: 0.5007	LR: 0.020000
Training Epoch: 23 [18176/46200]	Loss: 0.6793	LR: 0.020000
Training Epoch: 23 [18432/46200]	Loss: 0.5761	LR: 0.020000
Training Epoch: 23 [18688/46200]	Loss: 0.5100	LR: 0.020000
Training Epoch: 23 [18944/46200]	Loss: 0.5474	LR: 0.020000
Training Epoch: 23 [19200/46200]	Loss: 0.5114	LR: 0.020000
Training Epoch: 23 [19456/46200]	Loss: 0.5367	LR: 0.020000
Training Epoch: 23 [19712/46200]	Loss: 0.5238	LR: 0.020000
Training Epoch: 23 [19968/46200]	Loss: 0.5852	LR: 0.020000
Training Epoch: 23 [20224/46200]	Loss: 0.4599	LR: 0.020000
Training Epoch: 23 [20480/46200]	Loss: 0.5195	LR: 0.020000
Training Epoch: 23 [20736/46200]	Loss: 0.6409	LR: 0.020000
Training Epoch: 23 [20992/46200]	Loss: 0.5965	LR: 0.020000
Training Epoch: 23 [21248/46200]	Loss: 0.5732	LR: 0.020000
Training Epoch: 23 [21504/46200]	Loss: 0.6506	LR: 0.020000
Training Epoch: 23 [21760/46200]	Loss: 0.5439	LR: 0.020000
Training Epoch: 23 [22016/46200]	Loss: 0.5687	LR: 0.020000
Training Epoch: 23 [22272/46200]	Loss: 0.5843	LR: 0.020000
Training Epoch: 23 [22528/46200]	Loss: 0.6065	LR: 0.020000
Training Epoch: 23 [22784/46200]	Loss: 0.5705	LR: 0.020000
Training Epoch: 23 [23040/46200]	Loss: 0.6224	LR: 0.020000
Training Epoch: 23 [23296/46200]	Loss: 0.5308	LR: 0.020000
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Training Epoch: 23 [27904/46200]	Loss: 0.5361	LR: 0.020000
Training Epoch: 23 [28160/46200]	Loss: 0.5990	LR: 0.020000
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Training Epoch: 23 [30720/46200]	Loss: 0.6417	LR: 0.020000
Training Epoch: 23 [30976/46200]	Loss: 0.5611	LR: 0.020000
Training Epoch: 23 [31232/46200]	Loss: 0.6801	LR: 0.020000
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Training Epoch: 23 [40192/46200]	Loss: 0.6987	LR: 0.020000
Training Epoch: 23 [40448/46200]	Loss: 0.5276	LR: 0.020000
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Training Epoch: 23 [40960/46200]	Loss: 0.5355	LR: 0.020000
Training Epoch: 23 [41216/46200]	Loss: 0.5862	LR: 0.020000
Training Epoch: 23 [41472/46200]	Loss: 0.6480	LR: 0.020000
Training Epoch: 23 [41728/46200]	Loss: 0.6306	LR: 0.020000
Training Epoch: 23 [41984/46200]	Loss: 0.6354	LR: 0.020000
Training Epoch: 23 [42240/46200]	Loss: 0.5520	LR: 0.020000
Training Epoch: 23 [42496/46200]	Loss: 0.6137	LR: 0.020000
Training Epoch: 23 [42752/46200]	Loss: 0.6611	LR: 0.020000
Training Epoch: 23 [43008/46200]	Loss: 0.6821	LR: 0.020000
Training Epoch: 23 [43264/46200]	Loss: 0.6463	LR: 0.020000
Training Epoch: 23 [43520/46200]	Loss: 0.7552	LR: 0.020000
Training Epoch: 23 [43776/46200]	Loss: 0.6641	LR: 0.020000
Training Epoch: 23 [44032/46200]	Loss: 0.7610	LR: 0.020000
Training Epoch: 23 [44288/46200]	Loss: 0.5046	LR: 0.020000
Training Epoch: 23 [44544/46200]	Loss: 0.6659	LR: 0.020000
Training Epoch: 23 [44800/46200]	Loss: 0.5501	LR: 0.020000
Training Epoch: 23 [45056/46200]	Loss: 0.5482	LR: 0.020000
Training Epoch: 23 [45312/46200]	Loss: 0.7120	LR: 0.020000
Training Epoch: 23 [45568/46200]	Loss: 0.6604	LR: 0.020000
Training Epoch: 23 [45824/46200]	Loss: 0.4960	LR: 0.020000
Training Epoch: 23 [46080/46200]	Loss: 0.5976	LR: 0.020000
Training Epoch: 23 [46200/46200]	Loss: 0.4541	LR: 0.020000
Epoch 23 - Average Train Loss: 0.5790, Train Accuracy: 0.8137
Epoch 23 training time consumed: 25.12s
Evaluating Network.....
Test set: Epoch: 23, Average loss: 0.0036, Accuracy: 0.7344, Time consumed:0.85s
Training Epoch: 24 [256/46200]	Loss: 0.5467	LR: 0.020000
Training Epoch: 24 [512/46200]	Loss: 0.6315	LR: 0.020000
Training Epoch: 24 [768/46200]	Loss: 0.5976	LR: 0.020000
Training Epoch: 24 [1024/46200]	Loss: 0.6324	LR: 0.020000
Training Epoch: 24 [1280/46200]	Loss: 0.4762	LR: 0.020000
Training Epoch: 24 [1536/46200]	Loss: 0.6344	LR: 0.020000
Training Epoch: 24 [1792/46200]	Loss: 0.4672	LR: 0.020000
Training Epoch: 24 [2048/46200]	Loss: 0.4876	LR: 0.020000
Training Epoch: 24 [2304/46200]	Loss: 0.4917	LR: 0.020000
Training Epoch: 24 [2560/46200]	Loss: 0.5356	LR: 0.020000
Training Epoch: 24 [2816/46200]	Loss: 0.5660	LR: 0.020000
Training Epoch: 24 [3072/46200]	Loss: 0.5033	LR: 0.020000
Training Epoch: 24 [3328/46200]	Loss: 0.5402	LR: 0.020000
Training Epoch: 24 [3584/46200]	Loss: 0.4558	LR: 0.020000
Training Epoch: 24 [3840/46200]	Loss: 0.5245	LR: 0.020000
Training Epoch: 24 [4096/46200]	Loss: 0.4662	LR: 0.020000
Training Epoch: 24 [4352/46200]	Loss: 0.5256	LR: 0.020000
Training Epoch: 24 [4608/46200]	Loss: 0.5102	LR: 0.020000
Training Epoch: 24 [4864/46200]	Loss: 0.6667	LR: 0.020000
Training Epoch: 24 [5120/46200]	Loss: 0.5262	LR: 0.020000
Training Epoch: 24 [5376/46200]	Loss: 0.5234	LR: 0.020000
Training Epoch: 24 [5632/46200]	Loss: 0.5721	LR: 0.020000
Training Epoch: 24 [5888/46200]	Loss: 0.6322	LR: 0.020000
Training Epoch: 24 [6144/46200]	Loss: 0.6210	LR: 0.020000
Training Epoch: 24 [6400/46200]	Loss: 0.4775	LR: 0.020000
Training Epoch: 24 [6656/46200]	Loss: 0.4982	LR: 0.020000
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Training Epoch: 24 [7168/46200]	Loss: 0.5524	LR: 0.020000
Training Epoch: 24 [7424/46200]	Loss: 0.5149	LR: 0.020000
Training Epoch: 24 [7680/46200]	Loss: 0.5680	LR: 0.020000
Training Epoch: 24 [7936/46200]	Loss: 0.5523	LR: 0.020000
Training Epoch: 24 [8192/46200]	Loss: 0.4883	LR: 0.020000
Training Epoch: 24 [8448/46200]	Loss: 0.5105	LR: 0.020000
Training Epoch: 24 [8704/46200]	Loss: 0.4853	LR: 0.020000
Training Epoch: 24 [8960/46200]	Loss: 0.5093	LR: 0.020000
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Training Epoch: 24 [10496/46200]	Loss: 0.5881	LR: 0.020000
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Training Epoch: 24 [11008/46200]	Loss: 0.4576	LR: 0.020000
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Training Epoch: 24 [15872/46200]	Loss: 0.5630	LR: 0.020000
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Training Epoch: 24 [16384/46200]	Loss: 0.5617	LR: 0.020000
Training Epoch: 24 [16640/46200]	Loss: 0.6183	LR: 0.020000
Training Epoch: 24 [16896/46200]	Loss: 0.4977	LR: 0.020000
Training Epoch: 24 [17152/46200]	Loss: 0.4940	LR: 0.020000
Training Epoch: 24 [17408/46200]	Loss: 0.5240	LR: 0.020000
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Training Epoch: 24 [18176/46200]	Loss: 0.5806	LR: 0.020000
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Training Epoch: 24 [19712/46200]	Loss: 0.6036	LR: 0.020000
Training Epoch: 24 [19968/46200]	Loss: 0.5859	LR: 0.020000
Training Epoch: 24 [20224/46200]	Loss: 0.5598	LR: 0.020000
Training Epoch: 24 [20480/46200]	Loss: 0.6366	LR: 0.020000
Training Epoch: 24 [20736/46200]	Loss: 0.5409	LR: 0.020000
Training Epoch: 24 [20992/46200]	Loss: 0.5685	LR: 0.020000
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Training Epoch: 24 [22016/46200]	Loss: 0.4556	LR: 0.020000
Training Epoch: 24 [22272/46200]	Loss: 0.5202	LR: 0.020000
Training Epoch: 24 [22528/46200]	Loss: 0.7156	LR: 0.020000
Training Epoch: 24 [22784/46200]	Loss: 0.5790	LR: 0.020000
Training Epoch: 24 [23040/46200]	Loss: 0.6600	LR: 0.020000
Training Epoch: 24 [23296/46200]	Loss: 0.6514	LR: 0.020000
Training Epoch: 24 [23552/46200]	Loss: 0.5364	LR: 0.020000
Training Epoch: 24 [23808/46200]	Loss: 0.6255	LR: 0.020000
Training Epoch: 24 [24064/46200]	Loss: 0.5667	LR: 0.020000
Training Epoch: 24 [24320/46200]	Loss: 0.5900	LR: 0.020000
Training Epoch: 24 [24576/46200]	Loss: 0.6688	LR: 0.020000
Training Epoch: 24 [24832/46200]	Loss: 0.4799	LR: 0.020000
Training Epoch: 24 [25088/46200]	Loss: 0.6986	LR: 0.020000
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Training Epoch: 24 [26880/46200]	Loss: 0.6219	LR: 0.020000
Training Epoch: 24 [27136/46200]	Loss: 0.4767	LR: 0.020000
Training Epoch: 24 [27392/46200]	Loss: 0.4978	LR: 0.020000
Training Epoch: 24 [27648/46200]	Loss: 0.6125	LR: 0.020000
Training Epoch: 24 [27904/46200]	Loss: 0.6062	LR: 0.020000
Training Epoch: 24 [28160/46200]	Loss: 0.5196	LR: 0.020000
Training Epoch: 24 [28416/46200]	Loss: 0.4337	LR: 0.020000
Training Epoch: 24 [28672/46200]	Loss: 0.6164	LR: 0.020000
Training Epoch: 24 [28928/46200]	Loss: 0.5518	LR: 0.020000
Training Epoch: 24 [29184/46200]	Loss: 0.6327	LR: 0.020000
Training Epoch: 24 [29440/46200]	Loss: 0.5833	LR: 0.020000
Training Epoch: 24 [29696/46200]	Loss: 0.5459	LR: 0.020000
Training Epoch: 24 [29952/46200]	Loss: 0.5482	LR: 0.020000
Training Epoch: 24 [30208/46200]	Loss: 0.6322	LR: 0.020000
Training Epoch: 24 [30464/46200]	Loss: 0.5072	LR: 0.020000
Training Epoch: 24 [30720/46200]	Loss: 0.6059	LR: 0.020000
Training Epoch: 24 [30976/46200]	Loss: 0.4699	LR: 0.020000
Training Epoch: 24 [31232/46200]	Loss: 0.5983	LR: 0.020000
Training Epoch: 24 [31488/46200]	Loss: 0.5611	LR: 0.020000
Training Epoch: 24 [31744/46200]	Loss: 0.5936	LR: 0.020000
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Training Epoch: 24 [37376/46200]	Loss: 0.6461	LR: 0.020000
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Training Epoch: 24 [38144/46200]	Loss: 0.5808	LR: 0.020000
Training Epoch: 24 [38400/46200]	Loss: 0.5700	LR: 0.020000
Training Epoch: 24 [38656/46200]	Loss: 0.5236	LR: 0.020000
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Training Epoch: 24 [39168/46200]	Loss: 0.5525	LR: 0.020000
Training Epoch: 24 [39424/46200]	Loss: 0.6461	LR: 0.020000
Training Epoch: 24 [39680/46200]	Loss: 0.7048	LR: 0.020000
Training Epoch: 24 [39936/46200]	Loss: 0.7026	LR: 0.020000
Training Epoch: 24 [40192/46200]	Loss: 0.6150	LR: 0.020000
Training Epoch: 24 [40448/46200]	Loss: 0.6015	LR: 0.020000
Training Epoch: 24 [40704/46200]	Loss: 0.6619	LR: 0.020000
Training Epoch: 24 [40960/46200]	Loss: 0.5750	LR: 0.020000
Training Epoch: 24 [41216/46200]	Loss: 0.5366	LR: 0.020000
Training Epoch: 24 [41472/46200]	Loss: 0.5902	LR: 0.020000
Training Epoch: 24 [41728/46200]	Loss: 0.6046	LR: 0.020000
Training Epoch: 24 [41984/46200]	Loss: 0.4953	LR: 0.020000
Training Epoch: 24 [42240/46200]	Loss: 0.5934	LR: 0.020000
Training Epoch: 24 [42496/46200]	Loss: 0.5697	LR: 0.020000
Training Epoch: 24 [42752/46200]	Loss: 0.6222	LR: 0.020000
Training Epoch: 24 [43008/46200]	Loss: 0.5277	LR: 0.020000
Training Epoch: 24 [43264/46200]	Loss: 0.5898	LR: 0.020000
Training Epoch: 24 [43520/46200]	Loss: 0.6036	LR: 0.020000
Training Epoch: 24 [43776/46200]	Loss: 0.5289	LR: 0.020000
Training Epoch: 24 [44032/46200]	Loss: 0.4899	LR: 0.020000
Training Epoch: 24 [44288/46200]	Loss: 0.5659	LR: 0.020000
Training Epoch: 24 [44544/46200]	Loss: 0.5921	LR: 0.020000
Training Epoch: 24 [44800/46200]	Loss: 0.5927	LR: 0.020000
Training Epoch: 24 [45056/46200]	Loss: 0.6370	LR: 0.020000
Training Epoch: 24 [45312/46200]	Loss: 0.4838	LR: 0.020000
Training Epoch: 24 [45568/46200]	Loss: 0.5682	LR: 0.020000
Training Epoch: 24 [45824/46200]	Loss: 0.5214	LR: 0.020000
Training Epoch: 24 [46080/46200]	Loss: 0.5573	LR: 0.020000
Training Epoch: 24 [46200/46200]	Loss: 0.5679	LR: 0.020000
Epoch 24 - Average Train Loss: 0.5644, Train Accuracy: 0.8181
Epoch 24 training time consumed: 25.15s
Evaluating Network.....
Test set: Epoch: 24, Average loss: 0.0035, Accuracy: 0.7327, Time consumed:0.85s
Training Epoch: 25 [256/46200]	Loss: 0.5266	LR: 0.020000
Training Epoch: 25 [512/46200]	Loss: 0.4742	LR: 0.020000
Training Epoch: 25 [768/46200]	Loss: 0.5529	LR: 0.020000
Training Epoch: 25 [1024/46200]	Loss: 0.4225	LR: 0.020000
Training Epoch: 25 [1280/46200]	Loss: 0.6460	LR: 0.020000
Training Epoch: 25 [1536/46200]	Loss: 0.6505	LR: 0.020000
Training Epoch: 25 [1792/46200]	Loss: 0.5478	LR: 0.020000
Training Epoch: 25 [2048/46200]	Loss: 0.5140	LR: 0.020000
Training Epoch: 25 [2304/46200]	Loss: 0.5695	LR: 0.020000
Training Epoch: 25 [2560/46200]	Loss: 0.5311	LR: 0.020000
Training Epoch: 25 [2816/46200]	Loss: 0.5183	LR: 0.020000
Training Epoch: 25 [3072/46200]	Loss: 0.5608	LR: 0.020000
Training Epoch: 25 [3328/46200]	Loss: 0.5154	LR: 0.020000
Training Epoch: 25 [3584/46200]	Loss: 0.5257	LR: 0.020000
Training Epoch: 25 [3840/46200]	Loss: 0.5638	LR: 0.020000
Training Epoch: 25 [4096/46200]	Loss: 0.5457	LR: 0.020000
Training Epoch: 25 [4352/46200]	Loss: 0.4637	LR: 0.020000
Training Epoch: 25 [4608/46200]	Loss: 0.5123	LR: 0.020000
Training Epoch: 25 [4864/46200]	Loss: 0.5214	LR: 0.020000
Training Epoch: 25 [5120/46200]	Loss: 0.4878	LR: 0.020000
Training Epoch: 25 [5376/46200]	Loss: 0.4863	LR: 0.020000
Training Epoch: 25 [5632/46200]	Loss: 0.5177	LR: 0.020000
Training Epoch: 25 [5888/46200]	Loss: 0.5405	LR: 0.020000
Training Epoch: 25 [6144/46200]	Loss: 0.6618	LR: 0.020000
Training Epoch: 25 [6400/46200]	Loss: 0.5907	LR: 0.020000
Training Epoch: 25 [6656/46200]	Loss: 0.5779	LR: 0.020000
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Training Epoch: 25 [7168/46200]	Loss: 0.4909	LR: 0.020000
Training Epoch: 25 [7424/46200]	Loss: 0.5760	LR: 0.020000
Training Epoch: 25 [7680/46200]	Loss: 0.5139	LR: 0.020000
Training Epoch: 25 [7936/46200]	Loss: 0.6083	LR: 0.020000
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Training Epoch: 25 [8448/46200]	Loss: 0.6819	LR: 0.020000
Training Epoch: 25 [8704/46200]	Loss: 0.4934	LR: 0.020000
Training Epoch: 25 [8960/46200]	Loss: 0.5519	LR: 0.020000
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Training Epoch: 25 [9984/46200]	Loss: 0.6562	LR: 0.020000
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Training Epoch: 25 [12288/46200]	Loss: 0.5417	LR: 0.020000
Training Epoch: 25 [12544/46200]	Loss: 0.6356	LR: 0.020000
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Training Epoch: 25 [22528/46200]	Loss: 0.6684	LR: 0.020000
Training Epoch: 25 [22784/46200]	Loss: 0.6077	LR: 0.020000
Training Epoch: 25 [23040/46200]	Loss: 0.5448	LR: 0.020000
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Training Epoch: 25 [26368/46200]	Loss: 0.4826	LR: 0.020000
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Training Epoch: 25 [27904/46200]	Loss: 0.6178	LR: 0.020000
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Training Epoch: 25 [28672/46200]	Loss: 0.5787	LR: 0.020000
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Training Epoch: 25 [40192/46200]	Loss: 0.6090	LR: 0.020000
Training Epoch: 25 [40448/46200]	Loss: 0.5630	LR: 0.020000
Training Epoch: 25 [40704/46200]	Loss: 0.4762	LR: 0.020000
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Training Epoch: 25 [42240/46200]	Loss: 0.6727	LR: 0.020000
Training Epoch: 25 [42496/46200]	Loss: 0.7813	LR: 0.020000
Training Epoch: 25 [42752/46200]	Loss: 0.5407	LR: 0.020000
Training Epoch: 25 [43008/46200]	Loss: 0.6636	LR: 0.020000
Training Epoch: 25 [43264/46200]	Loss: 0.4888	LR: 0.020000
Training Epoch: 25 [43520/46200]	Loss: 0.6706	LR: 0.020000
Training Epoch: 25 [43776/46200]	Loss: 0.6003	LR: 0.020000
Training Epoch: 25 [44032/46200]	Loss: 0.5427	LR: 0.020000
Training Epoch: 25 [44288/46200]	Loss: 0.5595	LR: 0.020000
Training Epoch: 25 [44544/46200]	Loss: 0.4826	LR: 0.020000
Training Epoch: 25 [44800/46200]	Loss: 0.4964	LR: 0.020000
Training Epoch: 25 [45056/46200]	Loss: 0.6094	LR: 0.020000
Training Epoch: 25 [45312/46200]	Loss: 0.6398	LR: 0.020000
Training Epoch: 25 [45568/46200]	Loss: 0.6050	LR: 0.020000
Training Epoch: 25 [45824/46200]	Loss: 0.5101	LR: 0.020000
Training Epoch: 25 [46080/46200]	Loss: 0.5722	LR: 0.020000
Training Epoch: 25 [46200/46200]	Loss: 0.5250	LR: 0.020000
Epoch 25 - Average Train Loss: 0.5587, Train Accuracy: 0.8176
Epoch 25 training time consumed: 25.35s
Evaluating Network.....
Test set: Epoch: 25, Average loss: 0.0036, Accuracy: 0.7301, Time consumed:0.84s
Training Epoch: 26 [256/46200]	Loss: 0.4688	LR: 0.020000
Training Epoch: 26 [512/46200]	Loss: 0.5324	LR: 0.020000
Training Epoch: 26 [768/46200]	Loss: 0.6235	LR: 0.020000
Training Epoch: 26 [1024/46200]	Loss: 0.5882	LR: 0.020000
Training Epoch: 26 [1280/46200]	Loss: 0.5130	LR: 0.020000
Training Epoch: 26 [1536/46200]	Loss: 0.4541	LR: 0.020000
Training Epoch: 26 [1792/46200]	Loss: 0.5975	LR: 0.020000
Training Epoch: 26 [2048/46200]	Loss: 0.6396	LR: 0.020000
Training Epoch: 26 [2304/46200]	Loss: 0.4599	LR: 0.020000
Training Epoch: 26 [2560/46200]	Loss: 0.5212	LR: 0.020000
Training Epoch: 26 [2816/46200]	Loss: 0.5453	LR: 0.020000
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Training Epoch: 26 [3584/46200]	Loss: 0.5300	LR: 0.020000
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Training Epoch: 26 [4352/46200]	Loss: 0.5086	LR: 0.020000
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Training Epoch: 26 [5376/46200]	Loss: 0.5308	LR: 0.020000
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Training Epoch: 26 [6144/46200]	Loss: 0.4754	LR: 0.020000
Training Epoch: 26 [6400/46200]	Loss: 0.5790	LR: 0.020000
Training Epoch: 26 [6656/46200]	Loss: 0.5720	LR: 0.020000
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Training Epoch: 26 [7168/46200]	Loss: 0.5638	LR: 0.020000
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Training Epoch: 26 [7936/46200]	Loss: 0.5411	LR: 0.020000
Training Epoch: 26 [8192/46200]	Loss: 0.5392	LR: 0.020000
Training Epoch: 26 [8448/46200]	Loss: 0.5388	LR: 0.020000
Training Epoch: 26 [8704/46200]	Loss: 0.4307	LR: 0.020000
Training Epoch: 26 [8960/46200]	Loss: 0.5081	LR: 0.020000
Training Epoch: 26 [9216/46200]	Loss: 0.5661	LR: 0.020000
Training Epoch: 26 [9472/46200]	Loss: 0.5384	LR: 0.020000
Training Epoch: 26 [9728/46200]	Loss: 0.4542	LR: 0.020000
Training Epoch: 26 [9984/46200]	Loss: 0.4527	LR: 0.020000
Training Epoch: 26 [10240/46200]	Loss: 0.5633	LR: 0.020000
Training Epoch: 26 [10496/46200]	Loss: 0.4398	LR: 0.020000
Training Epoch: 26 [10752/46200]	Loss: 0.5272	LR: 0.020000
Training Epoch: 26 [11008/46200]	Loss: 0.5429	LR: 0.020000
Training Epoch: 26 [11264/46200]	Loss: 0.4633	LR: 0.020000
Training Epoch: 26 [11520/46200]	Loss: 0.4794	LR: 0.020000
Training Epoch: 26 [11776/46200]	Loss: 0.5389	LR: 0.020000
Training Epoch: 26 [12032/46200]	Loss: 0.4699	LR: 0.020000
Training Epoch: 26 [12288/46200]	Loss: 0.4656	LR: 0.020000
Training Epoch: 26 [12544/46200]	Loss: 0.5937	LR: 0.020000
Training Epoch: 26 [12800/46200]	Loss: 0.6147	LR: 0.020000
Training Epoch: 26 [13056/46200]	Loss: 0.4683	LR: 0.020000
Training Epoch: 26 [13312/46200]	Loss: 0.5408	LR: 0.020000
Training Epoch: 26 [13568/46200]	Loss: 0.5955	LR: 0.020000
Training Epoch: 26 [13824/46200]	Loss: 0.5569	LR: 0.020000
Training Epoch: 26 [14080/46200]	Loss: 0.5206	LR: 0.020000
Training Epoch: 26 [14336/46200]	Loss: 0.5900	LR: 0.020000
Training Epoch: 26 [14592/46200]	Loss: 0.5173	LR: 0.020000
Training Epoch: 26 [14848/46200]	Loss: 0.4910	LR: 0.020000
Training Epoch: 26 [15104/46200]	Loss: 0.5723	LR: 0.020000
Training Epoch: 26 [15360/46200]	Loss: 0.4492	LR: 0.020000
Training Epoch: 26 [15616/46200]	Loss: 0.5515	LR: 0.020000
Training Epoch: 26 [15872/46200]	Loss: 0.5259	LR: 0.020000
Training Epoch: 26 [16128/46200]	Loss: 0.5137	LR: 0.020000
Training Epoch: 26 [16384/46200]	Loss: 0.5681	LR: 0.020000
Training Epoch: 26 [16640/46200]	Loss: 0.6587	LR: 0.020000
Training Epoch: 26 [16896/46200]	Loss: 0.5155	LR: 0.020000
Training Epoch: 26 [17152/46200]	Loss: 0.5956	LR: 0.020000
Training Epoch: 26 [17408/46200]	Loss: 0.5762	LR: 0.020000
Training Epoch: 26 [17664/46200]	Loss: 0.4610	LR: 0.020000
Training Epoch: 26 [17920/46200]	Loss: 0.4382	LR: 0.020000
Training Epoch: 26 [18176/46200]	Loss: 0.5343	LR: 0.020000
Training Epoch: 26 [18432/46200]	Loss: 0.5439	LR: 0.020000
Training Epoch: 26 [18688/46200]	Loss: 0.5520	LR: 0.020000
Training Epoch: 26 [18944/46200]	Loss: 0.5024	LR: 0.020000
Training Epoch: 26 [19200/46200]	Loss: 0.5142	LR: 0.020000
Training Epoch: 26 [19456/46200]	Loss: 0.5362	LR: 0.020000
Training Epoch: 26 [19712/46200]	Loss: 0.6162	LR: 0.020000
Training Epoch: 26 [19968/46200]	Loss: 0.5170	LR: 0.020000
Training Epoch: 26 [20224/46200]	Loss: 0.4867	LR: 0.020000
Training Epoch: 26 [20480/46200]	Loss: 0.5235	LR: 0.020000
Training Epoch: 26 [20736/46200]	Loss: 0.6670	LR: 0.020000
Training Epoch: 26 [20992/46200]	Loss: 0.6625	LR: 0.020000
Training Epoch: 26 [21248/46200]	Loss: 0.5943	LR: 0.020000
Training Epoch: 26 [21504/46200]	Loss: 0.6704	LR: 0.020000
Training Epoch: 26 [21760/46200]	Loss: 0.5597	LR: 0.020000
Training Epoch: 26 [22016/46200]	Loss: 0.5236	LR: 0.020000
Training Epoch: 26 [22272/46200]	Loss: 0.5526	LR: 0.020000
Training Epoch: 26 [22528/46200]	Loss: 0.5900	LR: 0.020000
Training Epoch: 26 [22784/46200]	Loss: 0.6251	LR: 0.020000
Training Epoch: 26 [23040/46200]	Loss: 0.6501	LR: 0.020000
Training Epoch: 26 [23296/46200]	Loss: 0.5254	LR: 0.020000
Training Epoch: 26 [23552/46200]	Loss: 0.5680	LR: 0.020000
Training Epoch: 26 [23808/46200]	Loss: 0.6152	LR: 0.020000
Training Epoch: 26 [24064/46200]	Loss: 0.5050	LR: 0.020000
Training Epoch: 26 [24320/46200]	Loss: 0.5266	LR: 0.020000
Training Epoch: 26 [24576/46200]	Loss: 0.5446	LR: 0.020000
Training Epoch: 26 [24832/46200]	Loss: 0.6074	LR: 0.020000
Training Epoch: 26 [25088/46200]	Loss: 0.4591	LR: 0.020000
Training Epoch: 26 [25344/46200]	Loss: 0.5333	LR: 0.020000
Training Epoch: 26 [25600/46200]	Loss: 0.5298	LR: 0.020000
Training Epoch: 26 [25856/46200]	Loss: 0.5542	LR: 0.020000
Training Epoch: 26 [26112/46200]	Loss: 0.5701	LR: 0.020000
Training Epoch: 26 [26368/46200]	Loss: 0.6016	LR: 0.020000
Training Epoch: 26 [26624/46200]	Loss: 0.5966	LR: 0.020000
Training Epoch: 26 [26880/46200]	Loss: 0.4122	LR: 0.020000
Training Epoch: 26 [27136/46200]	Loss: 0.5376	LR: 0.020000
Training Epoch: 26 [27392/46200]	Loss: 0.4884	LR: 0.020000
Training Epoch: 26 [27648/46200]	Loss: 0.5175	LR: 0.020000
Training Epoch: 26 [27904/46200]	Loss: 0.3982	LR: 0.020000
Training Epoch: 26 [28160/46200]	Loss: 0.5785	LR: 0.020000
Training Epoch: 26 [28416/46200]	Loss: 0.6569	LR: 0.020000
Training Epoch: 26 [28672/46200]	Loss: 0.5795	LR: 0.020000
Training Epoch: 26 [28928/46200]	Loss: 0.5117	LR: 0.020000
Training Epoch: 26 [29184/46200]	Loss: 0.5344	LR: 0.020000
Training Epoch: 26 [29440/46200]	Loss: 0.4625	LR: 0.020000
Training Epoch: 26 [29696/46200]	Loss: 0.5293	LR: 0.020000
Training Epoch: 26 [29952/46200]	Loss: 0.5657	LR: 0.020000
Training Epoch: 26 [30208/46200]	Loss: 0.5264	LR: 0.020000
Training Epoch: 26 [30464/46200]	Loss: 0.5752	LR: 0.020000
Training Epoch: 26 [30720/46200]	Loss: 0.6425	LR: 0.020000
Training Epoch: 26 [30976/46200]	Loss: 0.5896	LR: 0.020000
Training Epoch: 26 [31232/46200]	Loss: 0.5032	LR: 0.020000
Training Epoch: 26 [31488/46200]	Loss: 0.5430	LR: 0.020000
Training Epoch: 26 [31744/46200]	Loss: 0.5459	LR: 0.020000
Training Epoch: 26 [32000/46200]	Loss: 0.5629	LR: 0.020000
Training Epoch: 26 [32256/46200]	Loss: 0.6589	LR: 0.020000
Training Epoch: 26 [32512/46200]	Loss: 0.5904	LR: 0.020000
Training Epoch: 26 [32768/46200]	Loss: 0.5477	LR: 0.020000
Training Epoch: 26 [33024/46200]	Loss: 0.5958	LR: 0.020000
Training Epoch: 26 [33280/46200]	Loss: 0.4674	LR: 0.020000
Training Epoch: 26 [33536/46200]	Loss: 0.5465	LR: 0.020000
Training Epoch: 26 [33792/46200]	Loss: 0.5738	LR: 0.020000
Training Epoch: 26 [34048/46200]	Loss: 0.6241	LR: 0.020000
Training Epoch: 26 [34304/46200]	Loss: 0.5196	LR: 0.020000
Training Epoch: 26 [34560/46200]	Loss: 0.4470	LR: 0.020000
Training Epoch: 26 [34816/46200]	Loss: 0.6166	LR: 0.020000
Training Epoch: 26 [35072/46200]	Loss: 0.5360	LR: 0.020000
Training Epoch: 26 [35328/46200]	Loss: 0.5206	LR: 0.020000
Training Epoch: 26 [35584/46200]	Loss: 0.5295	LR: 0.020000
Training Epoch: 26 [35840/46200]	Loss: 0.5197	LR: 0.020000
Training Epoch: 26 [36096/46200]	Loss: 0.6575	LR: 0.020000
Training Epoch: 26 [36352/46200]	Loss: 0.5731	LR: 0.020000
Training Epoch: 26 [36608/46200]	Loss: 0.4795	LR: 0.020000
Training Epoch: 26 [36864/46200]	Loss: 0.5369	LR: 0.020000
Training Epoch: 26 [37120/46200]	Loss: 0.5924	LR: 0.020000
Training Epoch: 26 [37376/46200]	Loss: 0.5648	LR: 0.020000
Training Epoch: 26 [37632/46200]	Loss: 0.6321	LR: 0.020000
Training Epoch: 26 [37888/46200]	Loss: 0.4443	LR: 0.020000
Training Epoch: 26 [38144/46200]	Loss: 0.5542	LR: 0.020000
Training Epoch: 26 [38400/46200]	Loss: 0.6167	LR: 0.020000
Training Epoch: 26 [38656/46200]	Loss: 0.5669	LR: 0.020000
Training Epoch: 26 [38912/46200]	Loss: 0.4428	LR: 0.020000
Training Epoch: 26 [39168/46200]	Loss: 0.6126	LR: 0.020000
Training Epoch: 26 [39424/46200]	Loss: 0.5649	LR: 0.020000
Training Epoch: 26 [39680/46200]	Loss: 0.5464	LR: 0.020000
Training Epoch: 26 [39936/46200]	Loss: 0.4786	LR: 0.020000
Training Epoch: 26 [40192/46200]	Loss: 0.4949	LR: 0.020000
Training Epoch: 26 [40448/46200]	Loss: 0.4517	LR: 0.020000
Training Epoch: 26 [40704/46200]	Loss: 0.5551	LR: 0.020000
Training Epoch: 26 [40960/46200]	Loss: 0.4606	LR: 0.020000
Training Epoch: 26 [41216/46200]	Loss: 0.5739	LR: 0.020000
Training Epoch: 26 [41472/46200]	Loss: 0.5247	LR: 0.020000
Training Epoch: 26 [41728/46200]	Loss: 0.6136	LR: 0.020000
Training Epoch: 26 [41984/46200]	Loss: 0.5469	LR: 0.020000
Training Epoch: 26 [42240/46200]	Loss: 0.4786	LR: 0.020000
Training Epoch: 26 [42496/46200]	Loss: 0.5560	LR: 0.020000
Training Epoch: 26 [42752/46200]	Loss: 0.4745	LR: 0.020000
Training Epoch: 26 [43008/46200]	Loss: 0.5585	LR: 0.020000
Training Epoch: 26 [43264/46200]	Loss: 0.6366	LR: 0.020000
Training Epoch: 26 [43520/46200]	Loss: 0.5274	LR: 0.020000
Training Epoch: 26 [43776/46200]	Loss: 0.4908	LR: 0.020000
Training Epoch: 26 [44032/46200]	Loss: 0.5337	LR: 0.020000
Training Epoch: 26 [44288/46200]	Loss: 0.5919	LR: 0.020000
Training Epoch: 26 [44544/46200]	Loss: 0.5471	LR: 0.020000
Training Epoch: 26 [44800/46200]	Loss: 0.5250	LR: 0.020000
Training Epoch: 26 [45056/46200]	Loss: 0.5322	LR: 0.020000
Training Epoch: 26 [45312/46200]	Loss: 0.5640	LR: 0.020000
Training Epoch: 26 [45568/46200]	Loss: 0.6133	LR: 0.020000
Training Epoch: 26 [45824/46200]	Loss: 0.5611	LR: 0.020000
Training Epoch: 26 [46080/46200]	Loss: 0.5844	LR: 0.020000
Training Epoch: 26 [46200/46200]	Loss: 0.4660	LR: 0.020000
Epoch 26 - Average Train Loss: 0.5413, Train Accuracy: 0.8239
Epoch 26 training time consumed: 25.26s
Evaluating Network.....
Test set: Epoch: 26, Average loss: 0.0038, Accuracy: 0.7269, Time consumed:0.92s
Training Epoch: 27 [256/46200]	Loss: 0.4723	LR: 0.020000
Training Epoch: 27 [512/46200]	Loss: 0.4442	LR: 0.020000
Training Epoch: 27 [768/46200]	Loss: 0.5180	LR: 0.020000
Training Epoch: 27 [1024/46200]	Loss: 0.4872	LR: 0.020000
Training Epoch: 27 [1280/46200]	Loss: 0.4756	LR: 0.020000
Training Epoch: 27 [1536/46200]	Loss: 0.4706	LR: 0.020000
Training Epoch: 27 [1792/46200]	Loss: 0.4365	LR: 0.020000
Training Epoch: 27 [2048/46200]	Loss: 0.5320	LR: 0.020000
Training Epoch: 27 [2304/46200]	Loss: 0.5951	LR: 0.020000
Training Epoch: 27 [2560/46200]	Loss: 0.5109	LR: 0.020000
Training Epoch: 27 [2816/46200]	Loss: 0.4068	LR: 0.020000
Training Epoch: 27 [3072/46200]	Loss: 0.4546	LR: 0.020000
Training Epoch: 27 [3328/46200]	Loss: 0.5033	LR: 0.020000
Training Epoch: 27 [3584/46200]	Loss: 0.6572	LR: 0.020000
Training Epoch: 27 [3840/46200]	Loss: 0.5644	LR: 0.020000
Training Epoch: 27 [4096/46200]	Loss: 0.4795	LR: 0.020000
Training Epoch: 27 [4352/46200]	Loss: 0.4762	LR: 0.020000
Training Epoch: 27 [4608/46200]	Loss: 0.6726	LR: 0.020000
Training Epoch: 27 [4864/46200]	Loss: 0.4778	LR: 0.020000
Training Epoch: 27 [5120/46200]	Loss: 0.5518	LR: 0.020000
Training Epoch: 27 [5376/46200]	Loss: 0.5035	LR: 0.020000
Training Epoch: 27 [5632/46200]	Loss: 0.5406	LR: 0.020000
Training Epoch: 27 [5888/46200]	Loss: 0.4932	LR: 0.020000
Training Epoch: 27 [6144/46200]	Loss: 0.4611	LR: 0.020000
Training Epoch: 27 [6400/46200]	Loss: 0.4531	LR: 0.020000
Training Epoch: 27 [6656/46200]	Loss: 0.4911	LR: 0.020000
Training Epoch: 27 [6912/46200]	Loss: 0.5413	LR: 0.020000
Training Epoch: 27 [7168/46200]	Loss: 0.5115	LR: 0.020000
Training Epoch: 27 [7424/46200]	Loss: 0.4493	LR: 0.020000
Training Epoch: 27 [7680/46200]	Loss: 0.6521	LR: 0.020000
Training Epoch: 27 [7936/46200]	Loss: 0.5498	LR: 0.020000
Training Epoch: 27 [8192/46200]	Loss: 0.4608	LR: 0.020000
Training Epoch: 27 [8448/46200]	Loss: 0.4509	LR: 0.020000
Training Epoch: 27 [8704/46200]	Loss: 0.5031	LR: 0.020000
Training Epoch: 27 [8960/46200]	Loss: 0.5911	LR: 0.020000
Training Epoch: 27 [9216/46200]	Loss: 0.4659	LR: 0.020000
Training Epoch: 27 [9472/46200]	Loss: 0.4627	LR: 0.020000
Training Epoch: 27 [9728/46200]	Loss: 0.4694	LR: 0.020000
Training Epoch: 27 [9984/46200]	Loss: 0.4605	LR: 0.020000
Training Epoch: 27 [10240/46200]	Loss: 0.5122	LR: 0.020000
Training Epoch: 27 [10496/46200]	Loss: 0.5246	LR: 0.020000
Training Epoch: 27 [10752/46200]	Loss: 0.4776	LR: 0.020000
Training Epoch: 27 [11008/46200]	Loss: 0.4958	LR: 0.020000
Training Epoch: 27 [11264/46200]	Loss: 0.5314	LR: 0.020000
Training Epoch: 27 [11520/46200]	Loss: 0.4178	LR: 0.020000
Training Epoch: 27 [11776/46200]	Loss: 0.5804	LR: 0.020000
Training Epoch: 27 [12032/46200]	Loss: 0.4603	LR: 0.020000
Training Epoch: 27 [12288/46200]	Loss: 0.5058	LR: 0.020000
Training Epoch: 27 [12544/46200]	Loss: 0.5812	LR: 0.020000
Training Epoch: 27 [12800/46200]	Loss: 0.5729	LR: 0.020000
Training Epoch: 27 [13056/46200]	Loss: 0.5264	LR: 0.020000
Training Epoch: 27 [13312/46200]	Loss: 0.5908	LR: 0.020000
Training Epoch: 27 [13568/46200]	Loss: 0.4510	LR: 0.020000
Training Epoch: 27 [13824/46200]	Loss: 0.5214	LR: 0.020000
Training Epoch: 27 [14080/46200]	Loss: 0.4944	LR: 0.020000
Training Epoch: 27 [14336/46200]	Loss: 0.5474	LR: 0.020000
Training Epoch: 27 [14592/46200]	Loss: 0.3735	LR: 0.020000
Training Epoch: 27 [14848/46200]	Loss: 0.5271	LR: 0.020000
Training Epoch: 27 [15104/46200]	Loss: 0.4954	LR: 0.020000
Training Epoch: 27 [15360/46200]	Loss: 0.5702	LR: 0.020000
Training Epoch: 27 [15616/46200]	Loss: 0.4195	LR: 0.020000
Training Epoch: 27 [15872/46200]	Loss: 0.4855	LR: 0.020000
Training Epoch: 27 [16128/46200]	Loss: 0.5363	LR: 0.020000
Training Epoch: 27 [16384/46200]	Loss: 0.5679	LR: 0.020000
Training Epoch: 27 [16640/46200]	Loss: 0.5515	LR: 0.020000
Training Epoch: 27 [16896/46200]	Loss: 0.5982	LR: 0.020000
Training Epoch: 27 [17152/46200]	Loss: 0.4520	LR: 0.020000
Training Epoch: 27 [17408/46200]	Loss: 0.4246	LR: 0.020000
Training Epoch: 27 [17664/46200]	Loss: 0.6188	LR: 0.020000
Training Epoch: 27 [17920/46200]	Loss: 0.5502	LR: 0.020000
Training Epoch: 27 [18176/46200]	Loss: 0.5004	LR: 0.020000
Training Epoch: 27 [18432/46200]	Loss: 0.6138	LR: 0.020000
Training Epoch: 27 [18688/46200]	Loss: 0.5452	LR: 0.020000
Training Epoch: 27 [18944/46200]	Loss: 0.4971	LR: 0.020000
Training Epoch: 27 [19200/46200]	Loss: 0.5268	LR: 0.020000
Training Epoch: 27 [19456/46200]	Loss: 0.5318	LR: 0.020000
Training Epoch: 27 [19712/46200]	Loss: 0.5632	LR: 0.020000
Training Epoch: 27 [19968/46200]	Loss: 0.5048	LR: 0.020000
Training Epoch: 27 [20224/46200]	Loss: 0.6073	LR: 0.020000
Training Epoch: 27 [20480/46200]	Loss: 0.5231	LR: 0.020000
Training Epoch: 27 [20736/46200]	Loss: 0.5892	LR: 0.020000
Training Epoch: 27 [20992/46200]	Loss: 0.5888	LR: 0.020000
Training Epoch: 27 [21248/46200]	Loss: 0.5441	LR: 0.020000
Training Epoch: 27 [21504/46200]	Loss: 0.5268	LR: 0.020000
Training Epoch: 27 [21760/46200]	Loss: 0.4985	LR: 0.020000
Training Epoch: 27 [22016/46200]	Loss: 0.5301	LR: 0.020000
Training Epoch: 27 [22272/46200]	Loss: 0.5752	LR: 0.020000
Training Epoch: 27 [22528/46200]	Loss: 0.4470	LR: 0.020000
Training Epoch: 27 [22784/46200]	Loss: 0.5826	LR: 0.020000
Training Epoch: 27 [23040/46200]	Loss: 0.5174	LR: 0.020000
Training Epoch: 27 [23296/46200]	Loss: 0.6004	LR: 0.020000
Training Epoch: 27 [23552/46200]	Loss: 0.5038	LR: 0.020000
Training Epoch: 27 [23808/46200]	Loss: 0.5827	LR: 0.020000
Training Epoch: 27 [24064/46200]	Loss: 0.4815	LR: 0.020000
Training Epoch: 27 [24320/46200]	Loss: 0.5996	LR: 0.020000
Training Epoch: 27 [24576/46200]	Loss: 0.6017	LR: 0.020000
Training Epoch: 27 [24832/46200]	Loss: 0.5751	LR: 0.020000
Training Epoch: 27 [25088/46200]	Loss: 0.5606	LR: 0.020000
Training Epoch: 27 [25344/46200]	Loss: 0.4852	LR: 0.020000
Training Epoch: 27 [25600/46200]	Loss: 0.5990	LR: 0.020000
Training Epoch: 27 [25856/46200]	Loss: 0.4653	LR: 0.020000
Training Epoch: 27 [26112/46200]	Loss: 0.5040	LR: 0.020000
Training Epoch: 27 [26368/46200]	Loss: 0.3838	LR: 0.020000
Training Epoch: 27 [26624/46200]	Loss: 0.5309	LR: 0.020000
Training Epoch: 27 [26880/46200]	Loss: 0.4348	LR: 0.020000
Training Epoch: 27 [27136/46200]	Loss: 0.5515	LR: 0.020000
Training Epoch: 27 [27392/46200]	Loss: 0.5934	LR: 0.020000
Training Epoch: 27 [27648/46200]	Loss: 0.6438	LR: 0.020000
Training Epoch: 27 [27904/46200]	Loss: 0.5863	LR: 0.020000
Training Epoch: 27 [28160/46200]	Loss: 0.5337	LR: 0.020000
Training Epoch: 27 [28416/46200]	Loss: 0.4054	LR: 0.020000
Training Epoch: 27 [28672/46200]	Loss: 0.5114	LR: 0.020000
Training Epoch: 27 [28928/46200]	Loss: 0.5225	LR: 0.020000
Training Epoch: 27 [29184/46200]	Loss: 0.5447	LR: 0.020000
Training Epoch: 27 [29440/46200]	Loss: 0.5540	LR: 0.020000
Training Epoch: 27 [29696/46200]	Loss: 0.4920	LR: 0.020000
Training Epoch: 27 [29952/46200]	Loss: 0.5706	LR: 0.020000
Training Epoch: 27 [30208/46200]	Loss: 0.5768	LR: 0.020000
Training Epoch: 27 [30464/46200]	Loss: 0.5467	LR: 0.020000
Training Epoch: 27 [30720/46200]	Loss: 0.5715	LR: 0.020000
Training Epoch: 27 [30976/46200]	Loss: 0.5364	LR: 0.020000
Training Epoch: 27 [31232/46200]	Loss: 0.5072	LR: 0.020000
Training Epoch: 27 [31488/46200]	Loss: 0.5916	LR: 0.020000
Training Epoch: 27 [31744/46200]	Loss: 0.5171	LR: 0.020000
Training Epoch: 27 [32000/46200]	Loss: 0.5566	LR: 0.020000
Training Epoch: 27 [32256/46200]	Loss: 0.5794	LR: 0.020000
Training Epoch: 27 [32512/46200]	Loss: 0.5114	LR: 0.020000
Training Epoch: 27 [32768/46200]	Loss: 0.5989	LR: 0.020000
Training Epoch: 27 [33024/46200]	Loss: 0.5918	LR: 0.020000
Training Epoch: 27 [33280/46200]	Loss: 0.5564	LR: 0.020000
Training Epoch: 27 [33536/46200]	Loss: 0.5425	LR: 0.020000
Training Epoch: 27 [33792/46200]	Loss: 0.5447	LR: 0.020000
Training Epoch: 27 [34048/46200]	Loss: 0.4828	LR: 0.020000
Training Epoch: 27 [34304/46200]	Loss: 0.5087	LR: 0.020000
Training Epoch: 27 [34560/46200]	Loss: 0.4466	LR: 0.020000
Training Epoch: 27 [34816/46200]	Loss: 0.5396	LR: 0.020000
Training Epoch: 27 [35072/46200]	Loss: 0.5311	LR: 0.020000
Training Epoch: 27 [35328/46200]	Loss: 0.4930	LR: 0.020000
Training Epoch: 27 [35584/46200]	Loss: 0.4873	LR: 0.020000
Training Epoch: 27 [35840/46200]	Loss: 0.5574	LR: 0.020000
Training Epoch: 27 [36096/46200]	Loss: 0.5049	LR: 0.020000
Training Epoch: 27 [36352/46200]	Loss: 0.6048	LR: 0.020000
Training Epoch: 27 [36608/46200]	Loss: 0.4558	LR: 0.020000
Training Epoch: 27 [36864/46200]	Loss: 0.5346	LR: 0.020000
Training Epoch: 27 [37120/46200]	Loss: 0.5507	LR: 0.020000
Training Epoch: 27 [37376/46200]	Loss: 0.5163	LR: 0.020000
Training Epoch: 27 [37632/46200]	Loss: 0.5035	LR: 0.020000
Training Epoch: 27 [37888/46200]	Loss: 0.6561	LR: 0.020000
Training Epoch: 27 [38144/46200]	Loss: 0.5363	LR: 0.020000
Training Epoch: 27 [38400/46200]	Loss: 0.4814	LR: 0.020000
Training Epoch: 27 [38656/46200]	Loss: 0.6133	LR: 0.020000
Training Epoch: 27 [38912/46200]	Loss: 0.5602	LR: 0.020000
Training Epoch: 27 [39168/46200]	Loss: 0.5822	LR: 0.020000
Training Epoch: 27 [39424/46200]	Loss: 0.5378	LR: 0.020000
Training Epoch: 27 [39680/46200]	Loss: 0.5728	LR: 0.020000
Training Epoch: 27 [39936/46200]	Loss: 0.5757	LR: 0.020000
Training Epoch: 27 [40192/46200]	Loss: 0.5295	LR: 0.020000
Training Epoch: 27 [40448/46200]	Loss: 0.6406	LR: 0.020000
Training Epoch: 27 [40704/46200]	Loss: 0.4670	LR: 0.020000
Training Epoch: 27 [40960/46200]	Loss: 0.4527	LR: 0.020000
Training Epoch: 27 [41216/46200]	Loss: 0.5735	LR: 0.020000
Training Epoch: 27 [41472/46200]	Loss: 0.6328	LR: 0.020000
Training Epoch: 27 [41728/46200]	Loss: 0.5447	LR: 0.020000
Training Epoch: 27 [41984/46200]	Loss: 0.4973	LR: 0.020000
Training Epoch: 27 [42240/46200]	Loss: 0.5767	LR: 0.020000
Training Epoch: 27 [42496/46200]	Loss: 0.5167	LR: 0.020000
Training Epoch: 27 [42752/46200]	Loss: 0.5118	LR: 0.020000
Training Epoch: 27 [43008/46200]	Loss: 0.5838	LR: 0.020000
Training Epoch: 27 [43264/46200]	Loss: 0.5820	LR: 0.020000
Training Epoch: 27 [43520/46200]	Loss: 0.5157	LR: 0.020000
Training Epoch: 27 [43776/46200]	Loss: 0.6168	LR: 0.020000
Training Epoch: 27 [44032/46200]	Loss: 0.5161	LR: 0.020000
Training Epoch: 27 [44288/46200]	Loss: 0.5570	LR: 0.020000
Training Epoch: 27 [44544/46200]	Loss: 0.5863	LR: 0.020000
Training Epoch: 27 [44800/46200]	Loss: 0.5294	LR: 0.020000
Training Epoch: 27 [45056/46200]	Loss: 0.5499	LR: 0.020000
Training Epoch: 27 [45312/46200]	Loss: 0.5447	LR: 0.020000
Training Epoch: 27 [45568/46200]	Loss: 0.6378	LR: 0.020000
Training Epoch: 27 [45824/46200]	Loss: 0.4873	LR: 0.020000
Training Epoch: 27 [46080/46200]	Loss: 0.5330	LR: 0.020000
Training Epoch: 27 [46200/46200]	Loss: 0.5977	LR: 0.020000
Epoch 27 - Average Train Loss: 0.5293, Train Accuracy: 0.8285
Epoch 27 training time consumed: 25.10s
Evaluating Network.....
Test set: Epoch: 27, Average loss: 0.0035, Accuracy: 0.7442, Time consumed:0.84s
Training Epoch: 28 [256/46200]	Loss: 0.4987	LR: 0.020000
Training Epoch: 28 [512/46200]	Loss: 0.4756	LR: 0.020000
Training Epoch: 28 [768/46200]	Loss: 0.5156	LR: 0.020000
Training Epoch: 28 [1024/46200]	Loss: 0.5536	LR: 0.020000
Training Epoch: 28 [1280/46200]	Loss: 0.6134	LR: 0.020000
Training Epoch: 28 [1536/46200]	Loss: 0.5830	LR: 0.020000
Training Epoch: 28 [1792/46200]	Loss: 0.4587	LR: 0.020000
Training Epoch: 28 [2048/46200]	Loss: 0.5192	LR: 0.020000
Training Epoch: 28 [2304/46200]	Loss: 0.5657	LR: 0.020000
Training Epoch: 28 [2560/46200]	Loss: 0.4068	LR: 0.020000
Training Epoch: 28 [2816/46200]	Loss: 0.4941	LR: 0.020000
Training Epoch: 28 [3072/46200]	Loss: 0.5101	LR: 0.020000
Training Epoch: 28 [3328/46200]	Loss: 0.4727	LR: 0.020000
Training Epoch: 28 [3584/46200]	Loss: 0.4549	LR: 0.020000
Training Epoch: 28 [3840/46200]	Loss: 0.4817	LR: 0.020000
Training Epoch: 28 [4096/46200]	Loss: 0.4945	LR: 0.020000
Training Epoch: 28 [4352/46200]	Loss: 0.4670	LR: 0.020000
Training Epoch: 28 [4608/46200]	Loss: 0.4623	LR: 0.020000
Training Epoch: 28 [4864/46200]	Loss: 0.5422	LR: 0.020000
Training Epoch: 28 [5120/46200]	Loss: 0.4469	LR: 0.020000
Training Epoch: 28 [5376/46200]	Loss: 0.5015	LR: 0.020000
Training Epoch: 28 [5632/46200]	Loss: 0.4278	LR: 0.020000
Training Epoch: 28 [5888/46200]	Loss: 0.5437	LR: 0.020000
Training Epoch: 28 [6144/46200]	Loss: 0.5094	LR: 0.020000
Training Epoch: 28 [6400/46200]	Loss: 0.6157	LR: 0.020000
Training Epoch: 28 [6656/46200]	Loss: 0.6063	LR: 0.020000
Training Epoch: 28 [6912/46200]	Loss: 0.5216	LR: 0.020000
Training Epoch: 28 [7168/46200]	Loss: 0.5170	LR: 0.020000
Training Epoch: 28 [7424/46200]	Loss: 0.4077	LR: 0.020000
Training Epoch: 28 [7680/46200]	Loss: 0.5848	LR: 0.020000
Training Epoch: 28 [7936/46200]	Loss: 0.4910	LR: 0.020000
Training Epoch: 28 [8192/46200]	Loss: 0.4759	LR: 0.020000
Training Epoch: 28 [8448/46200]	Loss: 0.4919	LR: 0.020000
Training Epoch: 28 [8704/46200]	Loss: 0.5384	LR: 0.020000
Training Epoch: 28 [8960/46200]	Loss: 0.5317	LR: 0.020000
Training Epoch: 28 [9216/46200]	Loss: 0.5012	LR: 0.020000
Training Epoch: 28 [9472/46200]	Loss: 0.4707	LR: 0.020000
Training Epoch: 28 [9728/46200]	Loss: 0.5091	LR: 0.020000
Training Epoch: 28 [9984/46200]	Loss: 0.5105	LR: 0.020000
Training Epoch: 28 [10240/46200]	Loss: 0.4970	LR: 0.020000
Training Epoch: 28 [10496/46200]	Loss: 0.4727	LR: 0.020000
Training Epoch: 28 [10752/46200]	Loss: 0.6141	LR: 0.020000
Training Epoch: 28 [11008/46200]	Loss: 0.4733	LR: 0.020000
Training Epoch: 28 [11264/46200]	Loss: 0.4497	LR: 0.020000
Training Epoch: 28 [11520/46200]	Loss: 0.5195	LR: 0.020000
Training Epoch: 28 [11776/46200]	Loss: 0.3912	LR: 0.020000
Training Epoch: 28 [12032/46200]	Loss: 0.5326	LR: 0.020000
Training Epoch: 28 [12288/46200]	Loss: 0.4230	LR: 0.020000
Training Epoch: 28 [12544/46200]	Loss: 0.5467	LR: 0.020000
Training Epoch: 28 [12800/46200]	Loss: 0.5443	LR: 0.020000
Training Epoch: 28 [13056/46200]	Loss: 0.5421	LR: 0.020000
Training Epoch: 28 [13312/46200]	Loss: 0.4405	LR: 0.020000
Training Epoch: 28 [13568/46200]	Loss: 0.4505	LR: 0.020000
Training Epoch: 28 [13824/46200]	Loss: 0.5887	LR: 0.020000
Training Epoch: 28 [14080/46200]	Loss: 0.5661	LR: 0.020000
Training Epoch: 28 [14336/46200]	Loss: 0.5715	LR: 0.020000
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Training Epoch: 28 [14848/46200]	Loss: 0.5003	LR: 0.020000
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Training Epoch: 28 [15360/46200]	Loss: 0.5216	LR: 0.020000
Training Epoch: 28 [15616/46200]	Loss: 0.5184	LR: 0.020000
Training Epoch: 28 [15872/46200]	Loss: 0.5304	LR: 0.020000
Training Epoch: 28 [16128/46200]	Loss: 0.4738	LR: 0.020000
Training Epoch: 28 [16384/46200]	Loss: 0.5013	LR: 0.020000
Training Epoch: 28 [16640/46200]	Loss: 0.6588	LR: 0.020000
Training Epoch: 28 [16896/46200]	Loss: 0.5538	LR: 0.020000
Training Epoch: 28 [17152/46200]	Loss: 0.5831	LR: 0.020000
Training Epoch: 28 [17408/46200]	Loss: 0.5789	LR: 0.020000
Training Epoch: 28 [17664/46200]	Loss: 0.6151	LR: 0.020000
Training Epoch: 28 [17920/46200]	Loss: 0.5706	LR: 0.020000
Training Epoch: 28 [18176/46200]	Loss: 0.4817	LR: 0.020000
Training Epoch: 28 [18432/46200]	Loss: 0.5979	LR: 0.020000
Training Epoch: 28 [18688/46200]	Loss: 0.4746	LR: 0.020000
Training Epoch: 28 [18944/46200]	Loss: 0.4553	LR: 0.020000
Training Epoch: 28 [19200/46200]	Loss: 0.7020	LR: 0.020000
Training Epoch: 28 [19456/46200]	Loss: 0.5192	LR: 0.020000
Training Epoch: 28 [19712/46200]	Loss: 0.4707	LR: 0.020000
Training Epoch: 28 [19968/46200]	Loss: 0.5110	LR: 0.020000
Training Epoch: 28 [20224/46200]	Loss: 0.4676	LR: 0.020000
Training Epoch: 28 [20480/46200]	Loss: 0.4753	LR: 0.020000
Training Epoch: 28 [20736/46200]	Loss: 0.5268	LR: 0.020000
Training Epoch: 28 [20992/46200]	Loss: 0.5592	LR: 0.020000
Training Epoch: 28 [21248/46200]	Loss: 0.5937	LR: 0.020000
Training Epoch: 28 [21504/46200]	Loss: 0.4640	LR: 0.020000
Training Epoch: 28 [21760/46200]	Loss: 0.5637	LR: 0.020000
Training Epoch: 28 [22016/46200]	Loss: 0.6622	LR: 0.020000
Training Epoch: 28 [22272/46200]	Loss: 0.5798	LR: 0.020000
Training Epoch: 28 [22528/46200]	Loss: 0.5512	LR: 0.020000
Training Epoch: 28 [22784/46200]	Loss: 0.4930	LR: 0.020000
Training Epoch: 28 [23040/46200]	Loss: 0.4778	LR: 0.020000
Training Epoch: 28 [23296/46200]	Loss: 0.5514	LR: 0.020000
Training Epoch: 28 [23552/46200]	Loss: 0.4646	LR: 0.020000
Training Epoch: 28 [23808/46200]	Loss: 0.5521	LR: 0.020000
Training Epoch: 28 [24064/46200]	Loss: 0.5986	LR: 0.020000
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Training Epoch: 28 [25088/46200]	Loss: 0.4537	LR: 0.020000
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Training Epoch: 28 [25600/46200]	Loss: 0.4909	LR: 0.020000
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Training Epoch: 28 [26112/46200]	Loss: 0.5100	LR: 0.020000
Training Epoch: 28 [26368/46200]	Loss: 0.5125	LR: 0.020000
Training Epoch: 28 [26624/46200]	Loss: 0.5929	LR: 0.020000
Training Epoch: 28 [26880/46200]	Loss: 0.5601	LR: 0.020000
Training Epoch: 28 [27136/46200]	Loss: 0.5324	LR: 0.020000
Training Epoch: 28 [27392/46200]	Loss: 0.4840	LR: 0.020000
Training Epoch: 28 [27648/46200]	Loss: 0.5764	LR: 0.020000
Training Epoch: 28 [27904/46200]	Loss: 0.5491	LR: 0.020000
Training Epoch: 28 [28160/46200]	Loss: 0.6097	LR: 0.020000
Training Epoch: 28 [28416/46200]	Loss: 0.5874	LR: 0.020000
Training Epoch: 28 [28672/46200]	Loss: 0.4955	LR: 0.020000
Training Epoch: 28 [28928/46200]	Loss: 0.5176	LR: 0.020000
Training Epoch: 28 [29184/46200]	Loss: 0.5392	LR: 0.020000
Training Epoch: 28 [29440/46200]	Loss: 0.4829	LR: 0.020000
Training Epoch: 28 [29696/46200]	Loss: 0.5670	LR: 0.020000
Training Epoch: 28 [29952/46200]	Loss: 0.5409	LR: 0.020000
Training Epoch: 28 [30208/46200]	Loss: 0.5548	LR: 0.020000
Training Epoch: 28 [30464/46200]	Loss: 0.5770	LR: 0.020000
Training Epoch: 28 [30720/46200]	Loss: 0.6984	LR: 0.020000
Training Epoch: 28 [30976/46200]	Loss: 0.5921	LR: 0.020000
Training Epoch: 28 [31232/46200]	Loss: 0.5133	LR: 0.020000
Training Epoch: 28 [31488/46200]	Loss: 0.5038	LR: 0.020000
Training Epoch: 28 [31744/46200]	Loss: 0.5019	LR: 0.020000
Training Epoch: 28 [32000/46200]	Loss: 0.4928	LR: 0.020000
Training Epoch: 28 [32256/46200]	Loss: 0.6402	LR: 0.020000
Training Epoch: 28 [32512/46200]	Loss: 0.5971	LR: 0.020000
Training Epoch: 28 [32768/46200]	Loss: 0.5453	LR: 0.020000
Training Epoch: 28 [33024/46200]	Loss: 0.5404	LR: 0.020000
Training Epoch: 28 [33280/46200]	Loss: 0.6007	LR: 0.020000
Training Epoch: 28 [33536/46200]	Loss: 0.5307	LR: 0.020000
Training Epoch: 28 [33792/46200]	Loss: 0.4957	LR: 0.020000
Training Epoch: 28 [34048/46200]	Loss: 0.4400	LR: 0.020000
Training Epoch: 28 [34304/46200]	Loss: 0.5038	LR: 0.020000
Training Epoch: 28 [34560/46200]	Loss: 0.5500	LR: 0.020000
Training Epoch: 28 [34816/46200]	Loss: 0.5124	LR: 0.020000
Training Epoch: 28 [35072/46200]	Loss: 0.5965	LR: 0.020000
Training Epoch: 28 [35328/46200]	Loss: 0.6059	LR: 0.020000
Training Epoch: 28 [35584/46200]	Loss: 0.5211	LR: 0.020000
Training Epoch: 28 [35840/46200]	Loss: 0.5199	LR: 0.020000
Training Epoch: 28 [36096/46200]	Loss: 0.4863	LR: 0.020000
Training Epoch: 28 [36352/46200]	Loss: 0.5368	LR: 0.020000
Training Epoch: 28 [36608/46200]	Loss: 0.5097	LR: 0.020000
Training Epoch: 28 [36864/46200]	Loss: 0.6273	LR: 0.020000
Training Epoch: 28 [37120/46200]	Loss: 0.6404	LR: 0.020000
Training Epoch: 28 [37376/46200]	Loss: 0.4922	LR: 0.020000
Training Epoch: 28 [37632/46200]	Loss: 0.5105	LR: 0.020000
Training Epoch: 28 [37888/46200]	Loss: 0.4956	LR: 0.020000
Training Epoch: 28 [38144/46200]	Loss: 0.4881	LR: 0.020000
Training Epoch: 28 [38400/46200]	Loss: 0.5628	LR: 0.020000
Training Epoch: 28 [38656/46200]	Loss: 0.4775	LR: 0.020000
Training Epoch: 28 [38912/46200]	Loss: 0.5035	LR: 0.020000
Training Epoch: 28 [39168/46200]	Loss: 0.4973	LR: 0.020000
Training Epoch: 28 [39424/46200]	Loss: 0.5843	LR: 0.020000
Training Epoch: 28 [39680/46200]	Loss: 0.4960	LR: 0.020000
Training Epoch: 28 [39936/46200]	Loss: 0.6135	LR: 0.020000
Training Epoch: 28 [40192/46200]	Loss: 0.6231	LR: 0.020000
Training Epoch: 28 [40448/46200]	Loss: 0.5820	LR: 0.020000
Training Epoch: 28 [40704/46200]	Loss: 0.4606	LR: 0.020000
Training Epoch: 28 [40960/46200]	Loss: 0.6283	LR: 0.020000
Training Epoch: 28 [41216/46200]	Loss: 0.4905	LR: 0.020000
Training Epoch: 28 [41472/46200]	Loss: 0.6251	LR: 0.020000
Training Epoch: 28 [41728/46200]	Loss: 0.4566	LR: 0.020000
Training Epoch: 28 [41984/46200]	Loss: 0.6325	LR: 0.020000
Training Epoch: 28 [42240/46200]	Loss: 0.5192	LR: 0.020000
Training Epoch: 28 [42496/46200]	Loss: 0.5894	LR: 0.020000
Training Epoch: 28 [42752/46200]	Loss: 0.6582	LR: 0.020000
Training Epoch: 28 [43008/46200]	Loss: 0.5001	LR: 0.020000
Training Epoch: 28 [43264/46200]	Loss: 0.5942	LR: 0.020000
Training Epoch: 28 [43520/46200]	Loss: 0.6596	LR: 0.020000
Training Epoch: 28 [43776/46200]	Loss: 0.5782	LR: 0.020000
Training Epoch: 28 [44032/46200]	Loss: 0.6269	LR: 0.020000
Training Epoch: 28 [44288/46200]	Loss: 0.5505	LR: 0.020000
Training Epoch: 28 [44544/46200]	Loss: 0.5110	LR: 0.020000
Training Epoch: 28 [44800/46200]	Loss: 0.5011	LR: 0.020000
Training Epoch: 28 [45056/46200]	Loss: 0.4987	LR: 0.020000
Training Epoch: 28 [45312/46200]	Loss: 0.6288	LR: 0.020000
Training Epoch: 28 [45568/46200]	Loss: 0.5152	LR: 0.020000
Training Epoch: 28 [45824/46200]	Loss: 0.6463	LR: 0.020000
Training Epoch: 28 [46080/46200]	Loss: 0.4767	LR: 0.020000
Training Epoch: 28 [46200/46200]	Loss: 0.6515	LR: 0.020000
Epoch 28 - Average Train Loss: 0.5322, Train Accuracy: 0.8269
Epoch 28 training time consumed: 25.65s
Evaluating Network.....
Test set: Epoch: 28, Average loss: 0.0036, Accuracy: 0.7297, Time consumed:0.82s
Training Epoch: 29 [256/46200]	Loss: 0.5293	LR: 0.020000
Training Epoch: 29 [512/46200]	Loss: 0.4561	LR: 0.020000
Training Epoch: 29 [768/46200]	Loss: 0.4253	LR: 0.020000
Training Epoch: 29 [1024/46200]	Loss: 0.4806	LR: 0.020000
Training Epoch: 29 [1280/46200]	Loss: 0.5684	LR: 0.020000
Training Epoch: 29 [1536/46200]	Loss: 0.5217	LR: 0.020000
Training Epoch: 29 [1792/46200]	Loss: 0.4534	LR: 0.020000
Training Epoch: 29 [2048/46200]	Loss: 0.4509	LR: 0.020000
Training Epoch: 29 [2304/46200]	Loss: 0.4828	LR: 0.020000
Training Epoch: 29 [2560/46200]	Loss: 0.4842	LR: 0.020000
Training Epoch: 29 [2816/46200]	Loss: 0.4495	LR: 0.020000
Training Epoch: 29 [3072/46200]	Loss: 0.5404	LR: 0.020000
Training Epoch: 29 [3328/46200]	Loss: 0.5403	LR: 0.020000
Training Epoch: 29 [3584/46200]	Loss: 0.4836	LR: 0.020000
Training Epoch: 29 [3840/46200]	Loss: 0.4657	LR: 0.020000
Training Epoch: 29 [4096/46200]	Loss: 0.5113	LR: 0.020000
Training Epoch: 29 [4352/46200]	Loss: 0.4131	LR: 0.020000
Training Epoch: 29 [4608/46200]	Loss: 0.4463	LR: 0.020000
Training Epoch: 29 [4864/46200]	Loss: 0.4545	LR: 0.020000
Training Epoch: 29 [5120/46200]	Loss: 0.4908	LR: 0.020000
Training Epoch: 29 [5376/46200]	Loss: 0.4405	LR: 0.020000
Training Epoch: 29 [5632/46200]	Loss: 0.4480	LR: 0.020000
Training Epoch: 29 [5888/46200]	Loss: 0.4711	LR: 0.020000
Training Epoch: 29 [6144/46200]	Loss: 0.5273	LR: 0.020000
Training Epoch: 29 [6400/46200]	Loss: 0.4205	LR: 0.020000
Training Epoch: 29 [6656/46200]	Loss: 0.4698	LR: 0.020000
Training Epoch: 29 [6912/46200]	Loss: 0.4972	LR: 0.020000
Training Epoch: 29 [7168/46200]	Loss: 0.4919	LR: 0.020000
Training Epoch: 29 [7424/46200]	Loss: 0.5312	LR: 0.020000
Training Epoch: 29 [7680/46200]	Loss: 0.5682	LR: 0.020000
Training Epoch: 29 [7936/46200]	Loss: 0.4040	LR: 0.020000
Training Epoch: 29 [8192/46200]	Loss: 0.4689	LR: 0.020000
Training Epoch: 29 [8448/46200]	Loss: 0.4579	LR: 0.020000
Training Epoch: 29 [8704/46200]	Loss: 0.4801	LR: 0.020000
Training Epoch: 29 [8960/46200]	Loss: 0.5728	LR: 0.020000
Training Epoch: 29 [9216/46200]	Loss: 0.5662	LR: 0.020000
Training Epoch: 29 [9472/46200]	Loss: 0.4837	LR: 0.020000
Training Epoch: 29 [9728/46200]	Loss: 0.4028	LR: 0.020000
Training Epoch: 29 [9984/46200]	Loss: 0.5606	LR: 0.020000
Training Epoch: 29 [10240/46200]	Loss: 0.5317	LR: 0.020000
Training Epoch: 29 [10496/46200]	Loss: 0.5404	LR: 0.020000
Training Epoch: 29 [10752/46200]	Loss: 0.4954	LR: 0.020000
Training Epoch: 29 [11008/46200]	Loss: 0.4338	LR: 0.020000
Training Epoch: 29 [11264/46200]	Loss: 0.4667	LR: 0.020000
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Training Epoch: 29 [12032/46200]	Loss: 0.4528	LR: 0.020000
Training Epoch: 29 [12288/46200]	Loss: 0.5253	LR: 0.020000
Training Epoch: 29 [12544/46200]	Loss: 0.4582	LR: 0.020000
Training Epoch: 29 [12800/46200]	Loss: 0.4813	LR: 0.020000
Training Epoch: 29 [13056/46200]	Loss: 0.5454	LR: 0.020000
Training Epoch: 29 [13312/46200]	Loss: 0.4955	LR: 0.020000
Training Epoch: 29 [13568/46200]	Loss: 0.4970	LR: 0.020000
Training Epoch: 29 [13824/46200]	Loss: 0.4421	LR: 0.020000
Training Epoch: 29 [14080/46200]	Loss: 0.3908	LR: 0.020000
Training Epoch: 29 [14336/46200]	Loss: 0.5316	LR: 0.020000
Training Epoch: 29 [14592/46200]	Loss: 0.5522	LR: 0.020000
Training Epoch: 29 [14848/46200]	Loss: 0.5264	LR: 0.020000
Training Epoch: 29 [15104/46200]	Loss: 0.4767	LR: 0.020000
Training Epoch: 29 [15360/46200]	Loss: 0.5179	LR: 0.020000
Training Epoch: 29 [15616/46200]	Loss: 0.5895	LR: 0.020000
Training Epoch: 29 [15872/46200]	Loss: 0.5233	LR: 0.020000
Training Epoch: 29 [16128/46200]	Loss: 0.5779	LR: 0.020000
Training Epoch: 29 [16384/46200]	Loss: 0.4404	LR: 0.020000
Training Epoch: 29 [16640/46200]	Loss: 0.4744	LR: 0.020000
Training Epoch: 29 [16896/46200]	Loss: 0.4859	LR: 0.020000
Training Epoch: 29 [17152/46200]	Loss: 0.5488	LR: 0.020000
Training Epoch: 29 [17408/46200]	Loss: 0.5471	LR: 0.020000
Training Epoch: 29 [17664/46200]	Loss: 0.3972	LR: 0.020000
Training Epoch: 29 [17920/46200]	Loss: 0.5353	LR: 0.020000
Training Epoch: 29 [18176/46200]	Loss: 0.4900	LR: 0.020000
Training Epoch: 29 [18432/46200]	Loss: 0.6197	LR: 0.020000
Training Epoch: 29 [18688/46200]	Loss: 0.5829	LR: 0.020000
Training Epoch: 29 [18944/46200]	Loss: 0.6289	LR: 0.020000
Training Epoch: 29 [19200/46200]	Loss: 0.4641	LR: 0.020000
Training Epoch: 29 [19456/46200]	Loss: 0.4957	LR: 0.020000
Training Epoch: 29 [19712/46200]	Loss: 0.5294	LR: 0.020000
Training Epoch: 29 [19968/46200]	Loss: 0.5268	LR: 0.020000
Training Epoch: 29 [20224/46200]	Loss: 0.4230	LR: 0.020000
Training Epoch: 29 [20480/46200]	Loss: 0.4769	LR: 0.020000
Training Epoch: 29 [20736/46200]	Loss: 0.4264	LR: 0.020000
Training Epoch: 29 [20992/46200]	Loss: 0.5211	LR: 0.020000
Training Epoch: 29 [21248/46200]	Loss: 0.5133	LR: 0.020000
Training Epoch: 29 [21504/46200]	Loss: 0.5601	LR: 0.020000
Training Epoch: 29 [21760/46200]	Loss: 0.5089	LR: 0.020000
Training Epoch: 29 [22016/46200]	Loss: 0.4877	LR: 0.020000
Training Epoch: 29 [22272/46200]	Loss: 0.4088	LR: 0.020000
Training Epoch: 29 [22528/46200]	Loss: 0.4753	LR: 0.020000
Training Epoch: 29 [22784/46200]	Loss: 0.5109	LR: 0.020000
Training Epoch: 29 [23040/46200]	Loss: 0.5487	LR: 0.020000
Training Epoch: 29 [23296/46200]	Loss: 0.4936	LR: 0.020000
Training Epoch: 29 [23552/46200]	Loss: 0.4985	LR: 0.020000
Training Epoch: 29 [23808/46200]	Loss: 0.5189	LR: 0.020000
Training Epoch: 29 [24064/46200]	Loss: 0.5976	LR: 0.020000
Training Epoch: 29 [24320/46200]	Loss: 0.5865	LR: 0.020000
Training Epoch: 29 [24576/46200]	Loss: 0.5458	LR: 0.020000
Training Epoch: 29 [24832/46200]	Loss: 0.4882	LR: 0.020000
Training Epoch: 29 [25088/46200]	Loss: 0.5809	LR: 0.020000
Training Epoch: 29 [25344/46200]	Loss: 0.4843	LR: 0.020000
Training Epoch: 29 [25600/46200]	Loss: 0.4216	LR: 0.020000
Training Epoch: 29 [25856/46200]	Loss: 0.5032	LR: 0.020000
Training Epoch: 29 [26112/46200]	Loss: 0.5570	LR: 0.020000
Training Epoch: 29 [26368/46200]	Loss: 0.4597	LR: 0.020000
Training Epoch: 29 [26624/46200]	Loss: 0.5350	LR: 0.020000
Training Epoch: 29 [26880/46200]	Loss: 0.4002	LR: 0.020000
Training Epoch: 29 [27136/46200]	Loss: 0.6069	LR: 0.020000
Training Epoch: 29 [27392/46200]	Loss: 0.5567	LR: 0.020000
Training Epoch: 29 [27648/46200]	Loss: 0.4696	LR: 0.020000
Training Epoch: 29 [27904/46200]	Loss: 0.4944	LR: 0.020000
Training Epoch: 29 [28160/46200]	Loss: 0.4923	LR: 0.020000
Training Epoch: 29 [28416/46200]	Loss: 0.4610	LR: 0.020000
Training Epoch: 29 [28672/46200]	Loss: 0.5078	LR: 0.020000
Training Epoch: 29 [28928/46200]	Loss: 0.5466	LR: 0.020000
Training Epoch: 29 [29184/46200]	Loss: 0.6219	LR: 0.020000
Training Epoch: 29 [29440/46200]	Loss: 0.4827	LR: 0.020000
Training Epoch: 29 [29696/46200]	Loss: 0.4711	LR: 0.020000
Training Epoch: 29 [29952/46200]	Loss: 0.5376	LR: 0.020000
Training Epoch: 29 [30208/46200]	Loss: 0.5391	LR: 0.020000
Training Epoch: 29 [30464/46200]	Loss: 0.5712	LR: 0.020000
Training Epoch: 29 [30720/46200]	Loss: 0.5399	LR: 0.020000
Training Epoch: 29 [30976/46200]	Loss: 0.5750	LR: 0.020000
Training Epoch: 29 [31232/46200]	Loss: 0.4463	LR: 0.020000
Training Epoch: 29 [31488/46200]	Loss: 0.5069	LR: 0.020000
Training Epoch: 29 [31744/46200]	Loss: 0.4920	LR: 0.020000
Training Epoch: 29 [32000/46200]	Loss: 0.5371	LR: 0.020000
Training Epoch: 29 [32256/46200]	Loss: 0.4938	LR: 0.020000
Training Epoch: 29 [32512/46200]	Loss: 0.5092	LR: 0.020000
Training Epoch: 29 [32768/46200]	Loss: 0.5396	LR: 0.020000
Training Epoch: 29 [33024/46200]	Loss: 0.6396	LR: 0.020000
Training Epoch: 29 [33280/46200]	Loss: 0.6131	LR: 0.020000
Training Epoch: 29 [33536/46200]	Loss: 0.6589	LR: 0.020000
Training Epoch: 29 [33792/46200]	Loss: 0.5007	LR: 0.020000
Training Epoch: 29 [34048/46200]	Loss: 0.5608	LR: 0.020000
Training Epoch: 29 [34304/46200]	Loss: 0.5712	LR: 0.020000
Training Epoch: 29 [34560/46200]	Loss: 0.4928	LR: 0.020000
Training Epoch: 29 [34816/46200]	Loss: 0.4914	LR: 0.020000
Training Epoch: 29 [35072/46200]	Loss: 0.5734	LR: 0.020000
Training Epoch: 29 [35328/46200]	Loss: 0.5530	LR: 0.020000
Training Epoch: 29 [35584/46200]	Loss: 0.6522	LR: 0.020000
Training Epoch: 29 [35840/46200]	Loss: 0.4819	LR: 0.020000
Training Epoch: 29 [36096/46200]	Loss: 0.5795	LR: 0.020000
Training Epoch: 29 [36352/46200]	Loss: 0.5489	LR: 0.020000
Training Epoch: 29 [36608/46200]	Loss: 0.5127	LR: 0.020000
Training Epoch: 29 [36864/46200]	Loss: 0.4251	LR: 0.020000
Training Epoch: 29 [37120/46200]	Loss: 0.5042	LR: 0.020000
Training Epoch: 29 [37376/46200]	Loss: 0.5870	LR: 0.020000
Training Epoch: 29 [37632/46200]	Loss: 0.5287	LR: 0.020000
Training Epoch: 29 [37888/46200]	Loss: 0.4470	LR: 0.020000
Training Epoch: 29 [38144/46200]	Loss: 0.5189	LR: 0.020000
Training Epoch: 29 [38400/46200]	Loss: 0.5062	LR: 0.020000
Training Epoch: 29 [38656/46200]	Loss: 0.6347	LR: 0.020000
Training Epoch: 29 [38912/46200]	Loss: 0.5890	LR: 0.020000
Training Epoch: 29 [39168/46200]	Loss: 0.5758	LR: 0.020000
Training Epoch: 29 [39424/46200]	Loss: 0.6287	LR: 0.020000
Training Epoch: 29 [39680/46200]	Loss: 0.5918	LR: 0.020000
Training Epoch: 29 [39936/46200]	Loss: 0.6043	LR: 0.020000
Training Epoch: 29 [40192/46200]	Loss: 0.5247	LR: 0.020000
Training Epoch: 29 [40448/46200]	Loss: 0.4792	LR: 0.020000
Training Epoch: 29 [40704/46200]	Loss: 0.5327	LR: 0.020000
Training Epoch: 29 [40960/46200]	Loss: 0.5046	LR: 0.020000
Training Epoch: 29 [41216/46200]	Loss: 0.6258	LR: 0.020000
Training Epoch: 29 [41472/46200]	Loss: 0.6126	LR: 0.020000
Training Epoch: 29 [41728/46200]	Loss: 0.5608	LR: 0.020000
Training Epoch: 29 [41984/46200]	Loss: 0.5088	LR: 0.020000
Training Epoch: 29 [42240/46200]	Loss: 0.4340	LR: 0.020000
Training Epoch: 29 [42496/46200]	Loss: 0.4578	LR: 0.020000
Training Epoch: 29 [42752/46200]	Loss: 0.5940	LR: 0.020000
Training Epoch: 29 [43008/46200]	Loss: 0.5331	LR: 0.020000
Training Epoch: 29 [43264/46200]	Loss: 0.6203	LR: 0.020000
Training Epoch: 29 [43520/46200]	Loss: 0.5206	LR: 0.020000
Training Epoch: 29 [43776/46200]	Loss: 0.4562	LR: 0.020000
Training Epoch: 29 [44032/46200]	Loss: 0.5161	LR: 0.020000
Training Epoch: 29 [44288/46200]	Loss: 0.4669	LR: 0.020000
Training Epoch: 29 [44544/46200]	Loss: 0.5895	LR: 0.020000
Training Epoch: 29 [44800/46200]	Loss: 0.5203	LR: 0.020000
Training Epoch: 29 [45056/46200]	Loss: 0.4319	LR: 0.020000
Training Epoch: 29 [45312/46200]	Loss: 0.4848	LR: 0.020000
Training Epoch: 29 [45568/46200]	Loss: 0.4333	LR: 0.020000
Training Epoch: 29 [45824/46200]	Loss: 0.5521	LR: 0.020000
Training Epoch: 29 [46080/46200]	Loss: 0.5751	LR: 0.020000
Training Epoch: 29 [46200/46200]	Loss: 0.5147	LR: 0.020000
Epoch 29 - Average Train Loss: 0.5134, Train Accuracy: 0.8350
Epoch 29 training time consumed: 25.31s
Evaluating Network.....
Test set: Epoch: 29, Average loss: 0.0038, Accuracy: 0.7287, Time consumed:0.83s
Training Epoch: 30 [256/46200]	Loss: 0.4924	LR: 0.004000
Training Epoch: 30 [512/46200]	Loss: 0.4229	LR: 0.004000
Training Epoch: 30 [768/46200]	Loss: 0.4919	LR: 0.004000
Training Epoch: 30 [1024/46200]	Loss: 0.4113	LR: 0.004000
Training Epoch: 30 [1280/46200]	Loss: 0.4975	LR: 0.004000
Training Epoch: 30 [1536/46200]	Loss: 0.4850	LR: 0.004000
Training Epoch: 30 [1792/46200]	Loss: 0.4378	LR: 0.004000
Training Epoch: 30 [2048/46200]	Loss: 0.4464	LR: 0.004000
Training Epoch: 30 [2304/46200]	Loss: 0.3825	LR: 0.004000
Training Epoch: 30 [2560/46200]	Loss: 0.5359	LR: 0.004000
Training Epoch: 30 [2816/46200]	Loss: 0.3911	LR: 0.004000
Training Epoch: 30 [3072/46200]	Loss: 0.4424	LR: 0.004000
Training Epoch: 30 [3328/46200]	Loss: 0.4041	LR: 0.004000
Training Epoch: 30 [3584/46200]	Loss: 0.3863	LR: 0.004000
Training Epoch: 30 [3840/46200]	Loss: 0.4597	LR: 0.004000
Training Epoch: 30 [4096/46200]	Loss: 0.5312	LR: 0.004000
Training Epoch: 30 [4352/46200]	Loss: 0.4607	LR: 0.004000
Training Epoch: 30 [4608/46200]	Loss: 0.3874	LR: 0.004000
Training Epoch: 30 [4864/46200]	Loss: 0.4550	LR: 0.004000
Training Epoch: 30 [5120/46200]	Loss: 0.4729	LR: 0.004000
Training Epoch: 30 [5376/46200]	Loss: 0.4339	LR: 0.004000
Training Epoch: 30 [5632/46200]	Loss: 0.3475	LR: 0.004000
Training Epoch: 30 [5888/46200]	Loss: 0.3660	LR: 0.004000
Training Epoch: 30 [6144/46200]	Loss: 0.4086	LR: 0.004000
Training Epoch: 30 [6400/46200]	Loss: 0.3869	LR: 0.004000
Training Epoch: 30 [6656/46200]	Loss: 0.5468	LR: 0.004000
Training Epoch: 30 [6912/46200]	Loss: 0.4351	LR: 0.004000
Training Epoch: 30 [7168/46200]	Loss: 0.4457	LR: 0.004000
Training Epoch: 30 [7424/46200]	Loss: 0.3933	LR: 0.004000
Training Epoch: 30 [7680/46200]	Loss: 0.4466	LR: 0.004000
Training Epoch: 30 [7936/46200]	Loss: 0.4379	LR: 0.004000
Training Epoch: 30 [8192/46200]	Loss: 0.4678	LR: 0.004000
Training Epoch: 30 [8448/46200]	Loss: 0.3432	LR: 0.004000
Training Epoch: 30 [8704/46200]	Loss: 0.4675	LR: 0.004000
Training Epoch: 30 [8960/46200]	Loss: 0.4269	LR: 0.004000
Training Epoch: 30 [9216/46200]	Loss: 0.3966	LR: 0.004000
Training Epoch: 30 [9472/46200]	Loss: 0.3819	LR: 0.004000
Training Epoch: 30 [9728/46200]	Loss: 0.3996	LR: 0.004000
Training Epoch: 30 [9984/46200]	Loss: 0.4427	LR: 0.004000
Training Epoch: 30 [10240/46200]	Loss: 0.3972	LR: 0.004000
Training Epoch: 30 [10496/46200]	Loss: 0.3622	LR: 0.004000
Training Epoch: 30 [10752/46200]	Loss: 0.3983	LR: 0.004000
Training Epoch: 30 [11008/46200]	Loss: 0.3550	LR: 0.004000
Training Epoch: 30 [11264/46200]	Loss: 0.4863	LR: 0.004000
Training Epoch: 30 [11520/46200]	Loss: 0.3402	LR: 0.004000
Training Epoch: 30 [11776/46200]	Loss: 0.4276	LR: 0.004000
Training Epoch: 30 [12032/46200]	Loss: 0.4486	LR: 0.004000
Training Epoch: 30 [12288/46200]	Loss: 0.3895	LR: 0.004000
Training Epoch: 30 [12544/46200]	Loss: 0.4888	LR: 0.004000
Training Epoch: 30 [12800/46200]	Loss: 0.4140	LR: 0.004000
Training Epoch: 30 [13056/46200]	Loss: 0.4762	LR: 0.004000
Training Epoch: 30 [13312/46200]	Loss: 0.4264	LR: 0.004000
Training Epoch: 30 [13568/46200]	Loss: 0.3791	LR: 0.004000
Training Epoch: 30 [13824/46200]	Loss: 0.3569	LR: 0.004000
Training Epoch: 30 [14080/46200]	Loss: 0.4139	LR: 0.004000
Training Epoch: 30 [14336/46200]	Loss: 0.3540	LR: 0.004000
Training Epoch: 30 [14592/46200]	Loss: 0.3311	LR: 0.004000
Training Epoch: 30 [14848/46200]	Loss: 0.3881	LR: 0.004000
Training Epoch: 30 [15104/46200]	Loss: 0.3774	LR: 0.004000
Training Epoch: 30 [15360/46200]	Loss: 0.4137	LR: 0.004000
Training Epoch: 30 [15616/46200]	Loss: 0.3678	LR: 0.004000
Training Epoch: 30 [15872/46200]	Loss: 0.3482	LR: 0.004000
Training Epoch: 30 [16128/46200]	Loss: 0.4105	LR: 0.004000
Training Epoch: 30 [16384/46200]	Loss: 0.4711	LR: 0.004000
Training Epoch: 30 [16640/46200]	Loss: 0.4078	LR: 0.004000
Training Epoch: 30 [16896/46200]	Loss: 0.3991	LR: 0.004000
Training Epoch: 30 [17152/46200]	Loss: 0.3551	LR: 0.004000
Training Epoch: 30 [17408/46200]	Loss: 0.3789	LR: 0.004000
Training Epoch: 30 [17664/46200]	Loss: 0.3546	LR: 0.004000
Training Epoch: 30 [17920/46200]	Loss: 0.3960	LR: 0.004000
Training Epoch: 30 [18176/46200]	Loss: 0.4149	LR: 0.004000
Training Epoch: 30 [18432/46200]	Loss: 0.3855	LR: 0.004000
Training Epoch: 30 [18688/46200]	Loss: 0.3611	LR: 0.004000
Training Epoch: 30 [18944/46200]	Loss: 0.3639	LR: 0.004000
Training Epoch: 30 [19200/46200]	Loss: 0.3618	LR: 0.004000
Training Epoch: 30 [19456/46200]	Loss: 0.4160	LR: 0.004000
Training Epoch: 30 [19712/46200]	Loss: 0.3452	LR: 0.004000
Training Epoch: 30 [19968/46200]	Loss: 0.4162	LR: 0.004000
Training Epoch: 30 [20224/46200]	Loss: 0.4373	LR: 0.004000
Training Epoch: 30 [20480/46200]	Loss: 0.4489	LR: 0.004000
Training Epoch: 30 [20736/46200]	Loss: 0.4364	LR: 0.004000
Training Epoch: 30 [20992/46200]	Loss: 0.3043	LR: 0.004000
Training Epoch: 30 [21248/46200]	Loss: 0.4049	LR: 0.004000
Training Epoch: 30 [21504/46200]	Loss: 0.3037	LR: 0.004000
Training Epoch: 30 [21760/46200]	Loss: 0.3866	LR: 0.004000
Training Epoch: 30 [22016/46200]	Loss: 0.4242	LR: 0.004000
Training Epoch: 30 [22272/46200]	Loss: 0.4200	LR: 0.004000
Training Epoch: 30 [22528/46200]	Loss: 0.4190	LR: 0.004000
Training Epoch: 30 [22784/46200]	Loss: 0.4221	LR: 0.004000
Training Epoch: 30 [23040/46200]	Loss: 0.4358	LR: 0.004000
Training Epoch: 30 [23296/46200]	Loss: 0.3653	LR: 0.004000
Training Epoch: 30 [23552/46200]	Loss: 0.4354	LR: 0.004000
Training Epoch: 30 [23808/46200]	Loss: 0.4237	LR: 0.004000
Training Epoch: 30 [24064/46200]	Loss: 0.3947	LR: 0.004000
Training Epoch: 30 [24320/46200]	Loss: 0.3189	LR: 0.004000
Training Epoch: 30 [24576/46200]	Loss: 0.4096	LR: 0.004000
Training Epoch: 30 [24832/46200]	Loss: 0.3556	LR: 0.004000
Training Epoch: 30 [25088/46200]	Loss: 0.3144	LR: 0.004000
Training Epoch: 30 [25344/46200]	Loss: 0.3508	LR: 0.004000
Training Epoch: 30 [25600/46200]	Loss: 0.4002	LR: 0.004000
Training Epoch: 30 [25856/46200]	Loss: 0.3571	LR: 0.004000
Training Epoch: 30 [26112/46200]	Loss: 0.3488	LR: 0.004000
Training Epoch: 30 [26368/46200]	Loss: 0.3165	LR: 0.004000
Training Epoch: 30 [26624/46200]	Loss: 0.4299	LR: 0.004000
Training Epoch: 30 [26880/46200]	Loss: 0.4267	LR: 0.004000
Training Epoch: 30 [27136/46200]	Loss: 0.3764	LR: 0.004000
Training Epoch: 30 [27392/46200]	Loss: 0.4160	LR: 0.004000
Training Epoch: 30 [27648/46200]	Loss: 0.4100	LR: 0.004000
Training Epoch: 30 [27904/46200]	Loss: 0.3445	LR: 0.004000
Training Epoch: 30 [28160/46200]	Loss: 0.4155	LR: 0.004000
Training Epoch: 30 [28416/46200]	Loss: 0.3901	LR: 0.004000
Training Epoch: 30 [28672/46200]	Loss: 0.4439	LR: 0.004000
Training Epoch: 30 [28928/46200]	Loss: 0.3691	LR: 0.004000
Training Epoch: 30 [29184/46200]	Loss: 0.4300	LR: 0.004000
Training Epoch: 30 [29440/46200]	Loss: 0.4140	LR: 0.004000
Training Epoch: 30 [29696/46200]	Loss: 0.3631	LR: 0.004000
Training Epoch: 30 [29952/46200]	Loss: 0.4172	LR: 0.004000
Training Epoch: 30 [30208/46200]	Loss: 0.4277	LR: 0.004000
Training Epoch: 30 [30464/46200]	Loss: 0.4308	LR: 0.004000
Training Epoch: 30 [30720/46200]	Loss: 0.2868	LR: 0.004000
Training Epoch: 30 [30976/46200]	Loss: 0.4094	LR: 0.004000
Training Epoch: 30 [31232/46200]	Loss: 0.4530	LR: 0.004000
Training Epoch: 30 [31488/46200]	Loss: 0.3516	LR: 0.004000
Training Epoch: 30 [31744/46200]	Loss: 0.4224	LR: 0.004000
Training Epoch: 30 [32000/46200]	Loss: 0.4268	LR: 0.004000
Training Epoch: 30 [32256/46200]	Loss: 0.3727	LR: 0.004000
Training Epoch: 30 [32512/46200]	Loss: 0.3858	LR: 0.004000
Training Epoch: 30 [32768/46200]	Loss: 0.4555	LR: 0.004000
Training Epoch: 30 [33024/46200]	Loss: 0.3947	LR: 0.004000
Training Epoch: 30 [33280/46200]	Loss: 0.3483	LR: 0.004000
Training Epoch: 30 [33536/46200]	Loss: 0.4194	LR: 0.004000
Training Epoch: 30 [33792/46200]	Loss: 0.3856	LR: 0.004000
Training Epoch: 30 [34048/46200]	Loss: 0.4085	LR: 0.004000
Training Epoch: 30 [34304/46200]	Loss: 0.3734	LR: 0.004000
Training Epoch: 30 [34560/46200]	Loss: 0.3534	LR: 0.004000
Training Epoch: 30 [34816/46200]	Loss: 0.4051	LR: 0.004000
Training Epoch: 30 [35072/46200]	Loss: 0.4055	LR: 0.004000
Training Epoch: 30 [35328/46200]	Loss: 0.3267	LR: 0.004000
Training Epoch: 30 [35584/46200]	Loss: 0.3647	LR: 0.004000
Training Epoch: 30 [35840/46200]	Loss: 0.4210	LR: 0.004000
Training Epoch: 30 [36096/46200]	Loss: 0.4357	LR: 0.004000
Training Epoch: 30 [36352/46200]	Loss: 0.3747	LR: 0.004000
Training Epoch: 30 [36608/46200]	Loss: 0.4516	LR: 0.004000
Training Epoch: 30 [36864/46200]	Loss: 0.4403	LR: 0.004000
Training Epoch: 30 [37120/46200]	Loss: 0.3902	LR: 0.004000
Training Epoch: 30 [37376/46200]	Loss: 0.3952	LR: 0.004000
Training Epoch: 30 [37632/46200]	Loss: 0.3899	LR: 0.004000
Training Epoch: 30 [37888/46200]	Loss: 0.3847	LR: 0.004000
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Training Epoch: 30 [41984/46200]	Loss: 0.3831	LR: 0.004000
Training Epoch: 30 [42240/46200]	Loss: 0.3590	LR: 0.004000
Training Epoch: 30 [42496/46200]	Loss: 0.3950	LR: 0.004000
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Training Epoch: 30 [43008/46200]	Loss: 0.3607	LR: 0.004000
Training Epoch: 30 [43264/46200]	Loss: 0.3834	LR: 0.004000
Training Epoch: 30 [43520/46200]	Loss: 0.3613	LR: 0.004000
Training Epoch: 30 [43776/46200]	Loss: 0.3259	LR: 0.004000
Training Epoch: 30 [44032/46200]	Loss: 0.3469	LR: 0.004000
Training Epoch: 30 [44288/46200]	Loss: 0.3870	LR: 0.004000
Training Epoch: 30 [44544/46200]	Loss: 0.4094	LR: 0.004000
Training Epoch: 30 [44800/46200]	Loss: 0.3570	LR: 0.004000
Training Epoch: 30 [45056/46200]	Loss: 0.4052	LR: 0.004000
Training Epoch: 30 [45312/46200]	Loss: 0.4575	LR: 0.004000
Training Epoch: 30 [45568/46200]	Loss: 0.3981	LR: 0.004000
Training Epoch: 30 [45824/46200]	Loss: 0.3313	LR: 0.004000
Training Epoch: 30 [46080/46200]	Loss: 0.3279	LR: 0.004000
Training Epoch: 30 [46200/46200]	Loss: 0.4951	LR: 0.004000
Epoch 30 - Average Train Loss: 0.4028, Train Accuracy: 0.8732
Epoch 30 training time consumed: 25.07s
Evaluating Network.....
Test set: Epoch: 30, Average loss: 0.0029, Accuracy: 0.7778, Time consumed:0.84s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_17h_38m_23s/AllCNN-Cifar20-seed6-ret25-30-best.pth
Training Epoch: 31 [256/46200]	Loss: 0.3447	LR: 0.004000
Training Epoch: 31 [512/46200]	Loss: 0.2951	LR: 0.004000
Training Epoch: 31 [768/46200]	Loss: 0.3636	LR: 0.004000
Training Epoch: 31 [1024/46200]	Loss: 0.4095	LR: 0.004000
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Training Epoch: 31 [1536/46200]	Loss: 0.3785	LR: 0.004000
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Training Epoch: 31 [42496/46200]	Loss: 0.3623	LR: 0.004000
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Training Epoch: 31 [43264/46200]	Loss: 0.3887	LR: 0.004000
Training Epoch: 31 [43520/46200]	Loss: 0.3941	LR: 0.004000
Training Epoch: 31 [43776/46200]	Loss: 0.3532	LR: 0.004000
Training Epoch: 31 [44032/46200]	Loss: 0.3001	LR: 0.004000
Training Epoch: 31 [44288/46200]	Loss: 0.3971	LR: 0.004000
Training Epoch: 31 [44544/46200]	Loss: 0.4276	LR: 0.004000
Training Epoch: 31 [44800/46200]	Loss: 0.3254	LR: 0.004000
Training Epoch: 31 [45056/46200]	Loss: 0.3459	LR: 0.004000
Training Epoch: 31 [45312/46200]	Loss: 0.3383	LR: 0.004000
Training Epoch: 31 [45568/46200]	Loss: 0.3852	LR: 0.004000
Training Epoch: 31 [45824/46200]	Loss: 0.3527	LR: 0.004000
Training Epoch: 31 [46080/46200]	Loss: 0.4451	LR: 0.004000
Training Epoch: 31 [46200/46200]	Loss: 0.4079	LR: 0.004000
Epoch 31 - Average Train Loss: 0.3642, Train Accuracy: 0.8871
Epoch 31 training time consumed: 25.18s
Evaluating Network.....
Test set: Epoch: 31, Average loss: 0.0030, Accuracy: 0.7788, Time consumed:0.83s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_17h_38m_23s/AllCNN-Cifar20-seed6-ret25-31-best.pth
Training Epoch: 32 [256/46200]	Loss: 0.3227	LR: 0.004000
Training Epoch: 32 [512/46200]	Loss: 0.3656	LR: 0.004000
Training Epoch: 32 [768/46200]	Loss: 0.3830	LR: 0.004000
Training Epoch: 32 [1024/46200]	Loss: 0.3905	LR: 0.004000
Training Epoch: 32 [1280/46200]	Loss: 0.2862	LR: 0.004000
Training Epoch: 32 [1536/46200]	Loss: 0.4104	LR: 0.004000
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Training Epoch: 32 [2048/46200]	Loss: 0.3271	LR: 0.004000
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Training Epoch: 32 [2816/46200]	Loss: 0.3881	LR: 0.004000
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Training Epoch: 32 [16128/46200]	Loss: 0.3319	LR: 0.004000
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Training Epoch: 32 [16896/46200]	Loss: 0.2790	LR: 0.004000
Training Epoch: 32 [17152/46200]	Loss: 0.4419	LR: 0.004000
Training Epoch: 32 [17408/46200]	Loss: 0.3859	LR: 0.004000
Training Epoch: 32 [17664/46200]	Loss: 0.3261	LR: 0.004000
Training Epoch: 32 [17920/46200]	Loss: 0.2783	LR: 0.004000
Training Epoch: 32 [18176/46200]	Loss: 0.3455	LR: 0.004000
Training Epoch: 32 [18432/46200]	Loss: 0.3484	LR: 0.004000
Training Epoch: 32 [18688/46200]	Loss: 0.4188	LR: 0.004000
Training Epoch: 32 [18944/46200]	Loss: 0.3594	LR: 0.004000
Training Epoch: 32 [19200/46200]	Loss: 0.3964	LR: 0.004000
Training Epoch: 32 [19456/46200]	Loss: 0.3409	LR: 0.004000
Training Epoch: 32 [19712/46200]	Loss: 0.3540	LR: 0.004000
Training Epoch: 32 [19968/46200]	Loss: 0.3973	LR: 0.004000
Training Epoch: 32 [20224/46200]	Loss: 0.3226	LR: 0.004000
Training Epoch: 32 [20480/46200]	Loss: 0.3315	LR: 0.004000
Training Epoch: 32 [20736/46200]	Loss: 0.3769	LR: 0.004000
Training Epoch: 32 [20992/46200]	Loss: 0.2630	LR: 0.004000
Training Epoch: 32 [21248/46200]	Loss: 0.3660	LR: 0.004000
Training Epoch: 32 [21504/46200]	Loss: 0.3781	LR: 0.004000
Training Epoch: 32 [21760/46200]	Loss: 0.3807	LR: 0.004000
Training Epoch: 32 [22016/46200]	Loss: 0.3529	LR: 0.004000
Training Epoch: 32 [22272/46200]	Loss: 0.3317	LR: 0.004000
Training Epoch: 32 [22528/46200]	Loss: 0.3936	LR: 0.004000
Training Epoch: 32 [22784/46200]	Loss: 0.3516	LR: 0.004000
Training Epoch: 32 [23040/46200]	Loss: 0.3823	LR: 0.004000
Training Epoch: 32 [23296/46200]	Loss: 0.3546	LR: 0.004000
Training Epoch: 32 [23552/46200]	Loss: 0.3746	LR: 0.004000
Training Epoch: 32 [23808/46200]	Loss: 0.3453	LR: 0.004000
Training Epoch: 32 [24064/46200]	Loss: 0.4170	LR: 0.004000
Training Epoch: 32 [24320/46200]	Loss: 0.3841	LR: 0.004000
Training Epoch: 32 [24576/46200]	Loss: 0.3525	LR: 0.004000
Training Epoch: 32 [24832/46200]	Loss: 0.3777	LR: 0.004000
Training Epoch: 32 [25088/46200]	Loss: 0.3575	LR: 0.004000
Training Epoch: 32 [25344/46200]	Loss: 0.3539	LR: 0.004000
Training Epoch: 32 [25600/46200]	Loss: 0.2840	LR: 0.004000
Training Epoch: 32 [25856/46200]	Loss: 0.3597	LR: 0.004000
Training Epoch: 32 [26112/46200]	Loss: 0.3001	LR: 0.004000
Training Epoch: 32 [26368/46200]	Loss: 0.3645	LR: 0.004000
Training Epoch: 32 [26624/46200]	Loss: 0.3762	LR: 0.004000
Training Epoch: 32 [26880/46200]	Loss: 0.3843	LR: 0.004000
Training Epoch: 32 [27136/46200]	Loss: 0.3713	LR: 0.004000
Training Epoch: 32 [27392/46200]	Loss: 0.3208	LR: 0.004000
Training Epoch: 32 [27648/46200]	Loss: 0.3555	LR: 0.004000
Training Epoch: 32 [27904/46200]	Loss: 0.3935	LR: 0.004000
Training Epoch: 32 [28160/46200]	Loss: 0.2847	LR: 0.004000
Training Epoch: 32 [28416/46200]	Loss: 0.3325	LR: 0.004000
Training Epoch: 32 [28672/46200]	Loss: 0.3100	LR: 0.004000
Training Epoch: 32 [28928/46200]	Loss: 0.3152	LR: 0.004000
Training Epoch: 32 [29184/46200]	Loss: 0.3751	LR: 0.004000
Training Epoch: 32 [29440/46200]	Loss: 0.3390	LR: 0.004000
Training Epoch: 32 [29696/46200]	Loss: 0.3255	LR: 0.004000
Training Epoch: 32 [29952/46200]	Loss: 0.3860	LR: 0.004000
Training Epoch: 32 [30208/46200]	Loss: 0.4257	LR: 0.004000
Training Epoch: 32 [30464/46200]	Loss: 0.3267	LR: 0.004000
Training Epoch: 32 [30720/46200]	Loss: 0.2935	LR: 0.004000
Training Epoch: 32 [30976/46200]	Loss: 0.3490	LR: 0.004000
Training Epoch: 32 [31232/46200]	Loss: 0.3357	LR: 0.004000
Training Epoch: 32 [31488/46200]	Loss: 0.3468	LR: 0.004000
Training Epoch: 32 [31744/46200]	Loss: 0.3486	LR: 0.004000
Training Epoch: 32 [32000/46200]	Loss: 0.3980	LR: 0.004000
Training Epoch: 32 [32256/46200]	Loss: 0.3698	LR: 0.004000
Training Epoch: 32 [32512/46200]	Loss: 0.3516	LR: 0.004000
Training Epoch: 32 [32768/46200]	Loss: 0.3695	LR: 0.004000
Training Epoch: 32 [33024/46200]	Loss: 0.3195	LR: 0.004000
Training Epoch: 32 [33280/46200]	Loss: 0.4281	LR: 0.004000
Training Epoch: 32 [33536/46200]	Loss: 0.3962	LR: 0.004000
Training Epoch: 32 [33792/46200]	Loss: 0.3769	LR: 0.004000
Training Epoch: 32 [34048/46200]	Loss: 0.4286	LR: 0.004000
Training Epoch: 32 [34304/46200]	Loss: 0.3078	LR: 0.004000
Training Epoch: 32 [34560/46200]	Loss: 0.3772	LR: 0.004000
Training Epoch: 32 [34816/46200]	Loss: 0.3440	LR: 0.004000
Training Epoch: 32 [35072/46200]	Loss: 0.4450	LR: 0.004000
Training Epoch: 32 [35328/46200]	Loss: 0.3882	LR: 0.004000
Training Epoch: 32 [35584/46200]	Loss: 0.3013	LR: 0.004000
Training Epoch: 32 [35840/46200]	Loss: 0.2862	LR: 0.004000
Training Epoch: 32 [36096/46200]	Loss: 0.3647	LR: 0.004000
Training Epoch: 32 [36352/46200]	Loss: 0.3108	LR: 0.004000
Training Epoch: 32 [36608/46200]	Loss: 0.3324	LR: 0.004000
Training Epoch: 32 [36864/46200]	Loss: 0.2766	LR: 0.004000
Training Epoch: 32 [37120/46200]	Loss: 0.3013	LR: 0.004000
Training Epoch: 32 [37376/46200]	Loss: 0.3542	LR: 0.004000
Training Epoch: 32 [37632/46200]	Loss: 0.3369	LR: 0.004000
Training Epoch: 32 [37888/46200]	Loss: 0.3509	LR: 0.004000
Training Epoch: 32 [38144/46200]	Loss: 0.2723	LR: 0.004000
Training Epoch: 32 [38400/46200]	Loss: 0.4250	LR: 0.004000
Training Epoch: 32 [38656/46200]	Loss: 0.2666	LR: 0.004000
Training Epoch: 32 [38912/46200]	Loss: 0.3235	LR: 0.004000
Training Epoch: 32 [39168/46200]	Loss: 0.3680	LR: 0.004000
Training Epoch: 32 [39424/46200]	Loss: 0.3760	LR: 0.004000
Training Epoch: 32 [39680/46200]	Loss: 0.3816	LR: 0.004000
Training Epoch: 32 [39936/46200]	Loss: 0.3220	LR: 0.004000
Training Epoch: 32 [40192/46200]	Loss: 0.3865	LR: 0.004000
Training Epoch: 32 [40448/46200]	Loss: 0.3547	LR: 0.004000
Training Epoch: 32 [40704/46200]	Loss: 0.3628	LR: 0.004000
Training Epoch: 32 [40960/46200]	Loss: 0.2610	LR: 0.004000
Training Epoch: 32 [41216/46200]	Loss: 0.3939	LR: 0.004000
Training Epoch: 32 [41472/46200]	Loss: 0.3086	LR: 0.004000
Training Epoch: 32 [41728/46200]	Loss: 0.3256	LR: 0.004000
Training Epoch: 32 [41984/46200]	Loss: 0.3102	LR: 0.004000
Training Epoch: 32 [42240/46200]	Loss: 0.4010	LR: 0.004000
Training Epoch: 32 [42496/46200]	Loss: 0.3277	LR: 0.004000
Training Epoch: 32 [42752/46200]	Loss: 0.2858	LR: 0.004000
Training Epoch: 32 [43008/46200]	Loss: 0.3821	LR: 0.004000
Training Epoch: 32 [43264/46200]	Loss: 0.4100	LR: 0.004000
Training Epoch: 32 [43520/46200]	Loss: 0.3602	LR: 0.004000
Training Epoch: 32 [43776/46200]	Loss: 0.3436	LR: 0.004000
Training Epoch: 32 [44032/46200]	Loss: 0.3456	LR: 0.004000
Training Epoch: 32 [44288/46200]	Loss: 0.3876	LR: 0.004000
Training Epoch: 32 [44544/46200]	Loss: 0.4062	LR: 0.004000
Training Epoch: 32 [44800/46200]	Loss: 0.3865	LR: 0.004000
Training Epoch: 32 [45056/46200]	Loss: 0.4042	LR: 0.004000
Training Epoch: 32 [45312/46200]	Loss: 0.4034	LR: 0.004000
Training Epoch: 32 [45568/46200]	Loss: 0.2988	LR: 0.004000
Training Epoch: 32 [45824/46200]	Loss: 0.3213	LR: 0.004000
Training Epoch: 32 [46080/46200]	Loss: 0.3855	LR: 0.004000
Training Epoch: 32 [46200/46200]	Loss: 0.3339	LR: 0.004000
Epoch 32 - Average Train Loss: 0.3543, Train Accuracy: 0.8892
Epoch 32 training time consumed: 24.95s
Evaluating Network.....
Test set: Epoch: 32, Average loss: 0.0030, Accuracy: 0.7786, Time consumed:0.82s
Training Epoch: 33 [256/46200]	Loss: 0.3576	LR: 0.004000
Training Epoch: 33 [512/46200]	Loss: 0.4003	LR: 0.004000
Training Epoch: 33 [768/46200]	Loss: 0.4008	LR: 0.004000
Training Epoch: 33 [1024/46200]	Loss: 0.3059	LR: 0.004000
Training Epoch: 33 [1280/46200]	Loss: 0.3658	LR: 0.004000
Training Epoch: 33 [1536/46200]	Loss: 0.3732	LR: 0.004000
Training Epoch: 33 [1792/46200]	Loss: 0.2883	LR: 0.004000
Training Epoch: 33 [2048/46200]	Loss: 0.3100	LR: 0.004000
Training Epoch: 33 [2304/46200]	Loss: 0.3134	LR: 0.004000
Training Epoch: 33 [2560/46200]	Loss: 0.3437	LR: 0.004000
Training Epoch: 33 [2816/46200]	Loss: 0.3290	LR: 0.004000
Training Epoch: 33 [3072/46200]	Loss: 0.2437	LR: 0.004000
Training Epoch: 33 [3328/46200]	Loss: 0.2700	LR: 0.004000
Training Epoch: 33 [3584/46200]	Loss: 0.3174	LR: 0.004000
Training Epoch: 33 [3840/46200]	Loss: 0.4290	LR: 0.004000
Training Epoch: 33 [4096/46200]	Loss: 0.3004	LR: 0.004000
Training Epoch: 33 [4352/46200]	Loss: 0.3270	LR: 0.004000
Training Epoch: 33 [4608/46200]	Loss: 0.4517	LR: 0.004000
Training Epoch: 33 [4864/46200]	Loss: 0.2971	LR: 0.004000
Training Epoch: 33 [5120/46200]	Loss: 0.3068	LR: 0.004000
Training Epoch: 33 [5376/46200]	Loss: 0.3813	LR: 0.004000
Training Epoch: 33 [5632/46200]	Loss: 0.3924	LR: 0.004000
Training Epoch: 33 [5888/46200]	Loss: 0.2792	LR: 0.004000
Training Epoch: 33 [6144/46200]	Loss: 0.3012	LR: 0.004000
Training Epoch: 33 [6400/46200]	Loss: 0.3777	LR: 0.004000
Training Epoch: 33 [6656/46200]	Loss: 0.3606	LR: 0.004000
Training Epoch: 33 [6912/46200]	Loss: 0.3678	LR: 0.004000
Training Epoch: 33 [7168/46200]	Loss: 0.3452	LR: 0.004000
Training Epoch: 33 [7424/46200]	Loss: 0.3324	LR: 0.004000
Training Epoch: 33 [7680/46200]	Loss: 0.3046	LR: 0.004000
Training Epoch: 33 [7936/46200]	Loss: 0.3385	LR: 0.004000
Training Epoch: 33 [8192/46200]	Loss: 0.3291	LR: 0.004000
Training Epoch: 33 [8448/46200]	Loss: 0.2261	LR: 0.004000
Training Epoch: 33 [8704/46200]	Loss: 0.3321	LR: 0.004000
Training Epoch: 33 [8960/46200]	Loss: 0.3450	LR: 0.004000
Training Epoch: 33 [9216/46200]	Loss: 0.3649	LR: 0.004000
Training Epoch: 33 [9472/46200]	Loss: 0.2948	LR: 0.004000
Training Epoch: 33 [9728/46200]	Loss: 0.2858	LR: 0.004000
Training Epoch: 33 [9984/46200]	Loss: 0.3237	LR: 0.004000
Training Epoch: 33 [10240/46200]	Loss: 0.3624	LR: 0.004000
Training Epoch: 33 [10496/46200]	Loss: 0.3262	LR: 0.004000
Training Epoch: 33 [10752/46200]	Loss: 0.3495	LR: 0.004000
Training Epoch: 33 [11008/46200]	Loss: 0.3283	LR: 0.004000
Training Epoch: 33 [11264/46200]	Loss: 0.3902	LR: 0.004000
Training Epoch: 33 [11520/46200]	Loss: 0.3059	LR: 0.004000
Training Epoch: 33 [11776/46200]	Loss: 0.2926	LR: 0.004000
Training Epoch: 33 [12032/46200]	Loss: 0.3162	LR: 0.004000
Training Epoch: 33 [12288/46200]	Loss: 0.3271	LR: 0.004000
Training Epoch: 33 [12544/46200]	Loss: 0.3194	LR: 0.004000
Training Epoch: 33 [12800/46200]	Loss: 0.4877	LR: 0.004000
Training Epoch: 33 [13056/46200]	Loss: 0.3020	LR: 0.004000
Training Epoch: 33 [13312/46200]	Loss: 0.3376	LR: 0.004000
Training Epoch: 33 [13568/46200]	Loss: 0.3584	LR: 0.004000
Training Epoch: 33 [13824/46200]	Loss: 0.3432	LR: 0.004000
Training Epoch: 33 [14080/46200]	Loss: 0.2967	LR: 0.004000
Training Epoch: 33 [14336/46200]	Loss: 0.4017	LR: 0.004000
Training Epoch: 33 [14592/46200]	Loss: 0.2975	LR: 0.004000
Training Epoch: 33 [14848/46200]	Loss: 0.3821	LR: 0.004000
Training Epoch: 33 [15104/46200]	Loss: 0.3897	LR: 0.004000
Training Epoch: 33 [15360/46200]	Loss: 0.3421	LR: 0.004000
Training Epoch: 33 [15616/46200]	Loss: 0.2919	LR: 0.004000
Training Epoch: 33 [15872/46200]	Loss: 0.3571	LR: 0.004000
Training Epoch: 33 [16128/46200]	Loss: 0.3529	LR: 0.004000
Training Epoch: 33 [16384/46200]	Loss: 0.3340	LR: 0.004000
Training Epoch: 33 [16640/46200]	Loss: 0.3700	LR: 0.004000
Training Epoch: 33 [16896/46200]	Loss: 0.3960	LR: 0.004000
Training Epoch: 33 [17152/46200]	Loss: 0.3378	LR: 0.004000
Training Epoch: 33 [17408/46200]	Loss: 0.3688	LR: 0.004000
Training Epoch: 33 [17664/46200]	Loss: 0.3766	LR: 0.004000
Training Epoch: 33 [17920/46200]	Loss: 0.4594	LR: 0.004000
Training Epoch: 33 [18176/46200]	Loss: 0.3149	LR: 0.004000
Training Epoch: 33 [18432/46200]	Loss: 0.3210	LR: 0.004000
Training Epoch: 33 [18688/46200]	Loss: 0.2764	LR: 0.004000
Training Epoch: 33 [18944/46200]	Loss: 0.3284	LR: 0.004000
Training Epoch: 33 [19200/46200]	Loss: 0.4421	LR: 0.004000
Training Epoch: 33 [19456/46200]	Loss: 0.4891	LR: 0.004000
Training Epoch: 33 [19712/46200]	Loss: 0.3682	LR: 0.004000
Training Epoch: 33 [19968/46200]	Loss: 0.3858	LR: 0.004000
Training Epoch: 33 [20224/46200]	Loss: 0.3180	LR: 0.004000
Training Epoch: 33 [20480/46200]	Loss: 0.2854	LR: 0.004000
Training Epoch: 33 [20736/46200]	Loss: 0.3401	LR: 0.004000
Training Epoch: 33 [20992/46200]	Loss: 0.4041	LR: 0.004000
Training Epoch: 33 [21248/46200]	Loss: 0.2787	LR: 0.004000
Training Epoch: 33 [21504/46200]	Loss: 0.3529	LR: 0.004000
Training Epoch: 33 [21760/46200]	Loss: 0.3207	LR: 0.004000
Training Epoch: 33 [22016/46200]	Loss: 0.3766	LR: 0.004000
Training Epoch: 33 [22272/46200]	Loss: 0.3627	LR: 0.004000
Training Epoch: 33 [22528/46200]	Loss: 0.4462	LR: 0.004000
Training Epoch: 33 [22784/46200]	Loss: 0.3384	LR: 0.004000
Training Epoch: 33 [23040/46200]	Loss: 0.2851	LR: 0.004000
Training Epoch: 33 [23296/46200]	Loss: 0.3592	LR: 0.004000
Training Epoch: 33 [23552/46200]	Loss: 0.2718	LR: 0.004000
Training Epoch: 33 [23808/46200]	Loss: 0.3318	LR: 0.004000
Training Epoch: 33 [24064/46200]	Loss: 0.3135	LR: 0.004000
Training Epoch: 33 [24320/46200]	Loss: 0.3210	LR: 0.004000
Training Epoch: 33 [24576/46200]	Loss: 0.3783	LR: 0.004000
Training Epoch: 33 [24832/46200]	Loss: 0.3521	LR: 0.004000
Training Epoch: 33 [25088/46200]	Loss: 0.3448	LR: 0.004000
Training Epoch: 33 [25344/46200]	Loss: 0.3911	LR: 0.004000
Training Epoch: 33 [25600/46200]	Loss: 0.3590	LR: 0.004000
Training Epoch: 33 [25856/46200]	Loss: 0.3413	LR: 0.004000
Training Epoch: 33 [26112/46200]	Loss: 0.3208	LR: 0.004000
Training Epoch: 33 [26368/46200]	Loss: 0.3473	LR: 0.004000
Training Epoch: 33 [26624/46200]	Loss: 0.3754	LR: 0.004000
Training Epoch: 33 [26880/46200]	Loss: 0.3323	LR: 0.004000
Training Epoch: 33 [27136/46200]	Loss: 0.3856	LR: 0.004000
Training Epoch: 33 [27392/46200]	Loss: 0.3520	LR: 0.004000
Training Epoch: 33 [27648/46200]	Loss: 0.3302	LR: 0.004000
Training Epoch: 33 [27904/46200]	Loss: 0.3079	LR: 0.004000
Training Epoch: 33 [28160/46200]	Loss: 0.3452	LR: 0.004000
Training Epoch: 33 [28416/46200]	Loss: 0.3732	LR: 0.004000
Training Epoch: 33 [28672/46200]	Loss: 0.3761	LR: 0.004000
Training Epoch: 33 [28928/46200]	Loss: 0.3845	LR: 0.004000
Training Epoch: 33 [29184/46200]	Loss: 0.3469	LR: 0.004000
Training Epoch: 33 [29440/46200]	Loss: 0.3926	LR: 0.004000
Training Epoch: 33 [29696/46200]	Loss: 0.2564	LR: 0.004000
Training Epoch: 33 [29952/46200]	Loss: 0.3505	LR: 0.004000
Training Epoch: 33 [30208/46200]	Loss: 0.2827	LR: 0.004000
Training Epoch: 33 [30464/46200]	Loss: 0.3470	LR: 0.004000
Training Epoch: 33 [30720/46200]	Loss: 0.3588	LR: 0.004000
Training Epoch: 33 [30976/46200]	Loss: 0.3120	LR: 0.004000
Training Epoch: 33 [31232/46200]	Loss: 0.3628	LR: 0.004000
Training Epoch: 33 [31488/46200]	Loss: 0.2691	LR: 0.004000
Training Epoch: 33 [31744/46200]	Loss: 0.3333	LR: 0.004000
Training Epoch: 33 [32000/46200]	Loss: 0.3434	LR: 0.004000
Training Epoch: 33 [32256/46200]	Loss: 0.3321	LR: 0.004000
Training Epoch: 33 [32512/46200]	Loss: 0.2760	LR: 0.004000
Training Epoch: 33 [32768/46200]	Loss: 0.3650	LR: 0.004000
Training Epoch: 33 [33024/46200]	Loss: 0.3020	LR: 0.004000
Training Epoch: 33 [33280/46200]	Loss: 0.3612	LR: 0.004000
Training Epoch: 33 [33536/46200]	Loss: 0.3662	LR: 0.004000
Training Epoch: 33 [33792/46200]	Loss: 0.3752	LR: 0.004000
Training Epoch: 33 [34048/46200]	Loss: 0.3824	LR: 0.004000
Training Epoch: 33 [34304/46200]	Loss: 0.2541	LR: 0.004000
Training Epoch: 33 [34560/46200]	Loss: 0.3054	LR: 0.004000
Training Epoch: 33 [34816/46200]	Loss: 0.4020	LR: 0.004000
Training Epoch: 33 [35072/46200]	Loss: 0.3587	LR: 0.004000
Training Epoch: 33 [35328/46200]	Loss: 0.3676	LR: 0.004000
Training Epoch: 33 [35584/46200]	Loss: 0.3089	LR: 0.004000
Training Epoch: 33 [35840/46200]	Loss: 0.3393	LR: 0.004000
Training Epoch: 33 [36096/46200]	Loss: 0.2653	LR: 0.004000
Training Epoch: 33 [36352/46200]	Loss: 0.3166	LR: 0.004000
Training Epoch: 33 [36608/46200]	Loss: 0.3545	LR: 0.004000
Training Epoch: 33 [36864/46200]	Loss: 0.2657	LR: 0.004000
Training Epoch: 33 [37120/46200]	Loss: 0.3518	LR: 0.004000
Training Epoch: 33 [37376/46200]	Loss: 0.3782	LR: 0.004000
Training Epoch: 33 [37632/46200]	Loss: 0.3313	LR: 0.004000
Training Epoch: 33 [37888/46200]	Loss: 0.3014	LR: 0.004000
Training Epoch: 33 [38144/46200]	Loss: 0.3358	LR: 0.004000
Training Epoch: 33 [38400/46200]	Loss: 0.3855	LR: 0.004000
Training Epoch: 33 [38656/46200]	Loss: 0.3363	LR: 0.004000
Training Epoch: 33 [38912/46200]	Loss: 0.3808	LR: 0.004000
Training Epoch: 33 [39168/46200]	Loss: 0.3331	LR: 0.004000
Training Epoch: 33 [39424/46200]	Loss: 0.3395	LR: 0.004000
Training Epoch: 33 [39680/46200]	Loss: 0.3372	LR: 0.004000
Training Epoch: 33 [39936/46200]	Loss: 0.3441	LR: 0.004000
Training Epoch: 33 [40192/46200]	Loss: 0.3265	LR: 0.004000
Training Epoch: 33 [40448/46200]	Loss: 0.3241	LR: 0.004000
Training Epoch: 33 [40704/46200]	Loss: 0.3446	LR: 0.004000
Training Epoch: 33 [40960/46200]	Loss: 0.2989	LR: 0.004000
Training Epoch: 33 [41216/46200]	Loss: 0.3709	LR: 0.004000
Training Epoch: 33 [41472/46200]	Loss: 0.2988	LR: 0.004000
Training Epoch: 33 [41728/46200]	Loss: 0.3740	LR: 0.004000
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Training Epoch: 33 [42240/46200]	Loss: 0.3664	LR: 0.004000
Training Epoch: 33 [42496/46200]	Loss: 0.3134	LR: 0.004000
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Training Epoch: 33 [43008/46200]	Loss: 0.3459	LR: 0.004000
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Training Epoch: 33 [44288/46200]	Loss: 0.2652	LR: 0.004000
Training Epoch: 33 [44544/46200]	Loss: 0.3244	LR: 0.004000
Training Epoch: 33 [44800/46200]	Loss: 0.2956	LR: 0.004000
Training Epoch: 33 [45056/46200]	Loss: 0.3121	LR: 0.004000
Training Epoch: 33 [45312/46200]	Loss: 0.3521	LR: 0.004000
Training Epoch: 33 [45568/46200]	Loss: 0.3897	LR: 0.004000
Training Epoch: 33 [45824/46200]	Loss: 0.3158	LR: 0.004000
Training Epoch: 33 [46080/46200]	Loss: 0.3595	LR: 0.004000
Training Epoch: 33 [46200/46200]	Loss: 0.3665	LR: 0.004000
Epoch 33 - Average Train Loss: 0.3410, Train Accuracy: 0.8947
Epoch 33 training time consumed: 25.16s
Evaluating Network.....
Test set: Epoch: 33, Average loss: 0.0030, Accuracy: 0.7828, Time consumed:0.88s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_17h_38m_23s/AllCNN-Cifar20-seed6-ret25-33-best.pth
Training Epoch: 34 [256/46200]	Loss: 0.3652	LR: 0.004000
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Training Epoch: 34 [46080/46200]	Loss: 0.4063	LR: 0.004000
Training Epoch: 34 [46200/46200]	Loss: 0.3549	LR: 0.004000
Epoch 34 - Average Train Loss: 0.3357, Train Accuracy: 0.8977
Epoch 34 training time consumed: 24.98s
Evaluating Network.....
Test set: Epoch: 34, Average loss: 0.0029, Accuracy: 0.7804, Time consumed:0.86s
Training Epoch: 35 [256/46200]	Loss: 0.3309	LR: 0.000800
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Training Epoch: 35 [24064/46200]	Loss: 0.2813	LR: 0.000800
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Training Epoch: 35 [24576/46200]	Loss: 0.3243	LR: 0.000800
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Training Epoch: 35 [26368/46200]	Loss: 0.2951	LR: 0.000800
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Training Epoch: 35 [27392/46200]	Loss: 0.3076	LR: 0.000800
Training Epoch: 35 [27648/46200]	Loss: 0.2743	LR: 0.000800
Training Epoch: 35 [27904/46200]	Loss: 0.2757	LR: 0.000800
Training Epoch: 35 [28160/46200]	Loss: 0.3179	LR: 0.000800
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Training Epoch: 35 [30976/46200]	Loss: 0.3096	LR: 0.000800
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Training Epoch: 35 [31488/46200]	Loss: 0.3316	LR: 0.000800
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Training Epoch: 35 [38144/46200]	Loss: 0.3353	LR: 0.000800
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Training Epoch: 35 [40192/46200]	Loss: 0.3068	LR: 0.000800
Training Epoch: 35 [40448/46200]	Loss: 0.3072	LR: 0.000800
Training Epoch: 35 [40704/46200]	Loss: 0.3410	LR: 0.000800
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Training Epoch: 35 [41216/46200]	Loss: 0.3562	LR: 0.000800
Training Epoch: 35 [41472/46200]	Loss: 0.3984	LR: 0.000800
Training Epoch: 35 [41728/46200]	Loss: 0.3466	LR: 0.000800
Training Epoch: 35 [41984/46200]	Loss: 0.3641	LR: 0.000800
Training Epoch: 35 [42240/46200]	Loss: 0.2721	LR: 0.000800
Training Epoch: 35 [42496/46200]	Loss: 0.2576	LR: 0.000800
Training Epoch: 35 [42752/46200]	Loss: 0.2713	LR: 0.000800
Training Epoch: 35 [43008/46200]	Loss: 0.3199	LR: 0.000800
Training Epoch: 35 [43264/46200]	Loss: 0.2863	LR: 0.000800
Training Epoch: 35 [43520/46200]	Loss: 0.3106	LR: 0.000800
Training Epoch: 35 [43776/46200]	Loss: 0.2215	LR: 0.000800
Training Epoch: 35 [44032/46200]	Loss: 0.2764	LR: 0.000800
Training Epoch: 35 [44288/46200]	Loss: 0.2837	LR: 0.000800
Training Epoch: 35 [44544/46200]	Loss: 0.2549	LR: 0.000800
Training Epoch: 35 [44800/46200]	Loss: 0.3117	LR: 0.000800
Training Epoch: 35 [45056/46200]	Loss: 0.2655	LR: 0.000800
Training Epoch: 35 [45312/46200]	Loss: 0.3514	LR: 0.000800
Training Epoch: 35 [45568/46200]	Loss: 0.2443	LR: 0.000800
Training Epoch: 35 [45824/46200]	Loss: 0.2982	LR: 0.000800
Training Epoch: 35 [46080/46200]	Loss: 0.3389	LR: 0.000800
Training Epoch: 35 [46200/46200]	Loss: 0.2806	LR: 0.000800
Epoch 35 - Average Train Loss: 0.3128, Train Accuracy: 0.9053
Epoch 35 training time consumed: 24.99s
Evaluating Network.....
Test set: Epoch: 35, Average loss: 0.0029, Accuracy: 0.7862, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_17h_38m_23s/AllCNN-Cifar20-seed6-ret25-35-best.pth
Training Epoch: 36 [256/46200]	Loss: 0.4312	LR: 0.000800
Training Epoch: 36 [512/46200]	Loss: 0.3069	LR: 0.000800
Training Epoch: 36 [768/46200]	Loss: 0.2326	LR: 0.000800
Training Epoch: 36 [1024/46200]	Loss: 0.2351	LR: 0.000800
Training Epoch: 36 [1280/46200]	Loss: 0.4019	LR: 0.000800
Training Epoch: 36 [1536/46200]	Loss: 0.3062	LR: 0.000800
Training Epoch: 36 [1792/46200]	Loss: 0.2928	LR: 0.000800
Training Epoch: 36 [2048/46200]	Loss: 0.3231	LR: 0.000800
Training Epoch: 36 [2304/46200]	Loss: 0.3051	LR: 0.000800
Training Epoch: 36 [2560/46200]	Loss: 0.3035	LR: 0.000800
Training Epoch: 36 [2816/46200]	Loss: 0.3350	LR: 0.000800
Training Epoch: 36 [3072/46200]	Loss: 0.3577	LR: 0.000800
Training Epoch: 36 [3328/46200]	Loss: 0.2603	LR: 0.000800
Training Epoch: 36 [3584/46200]	Loss: 0.2871	LR: 0.000800
Training Epoch: 36 [3840/46200]	Loss: 0.2959	LR: 0.000800
Training Epoch: 36 [4096/46200]	Loss: 0.2924	LR: 0.000800
Training Epoch: 36 [4352/46200]	Loss: 0.2949	LR: 0.000800
Training Epoch: 36 [4608/46200]	Loss: 0.3453	LR: 0.000800
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Training Epoch: 36 [5376/46200]	Loss: 0.2674	LR: 0.000800
Training Epoch: 36 [5632/46200]	Loss: 0.3357	LR: 0.000800
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Training Epoch: 36 [6912/46200]	Loss: 0.2843	LR: 0.000800
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Training Epoch: 36 [24576/46200]	Loss: 0.2998	LR: 0.000800
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Training Epoch: 36 [26368/46200]	Loss: 0.3356	LR: 0.000800
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Training Epoch: 36 [27392/46200]	Loss: 0.3285	LR: 0.000800
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Training Epoch: 36 [28160/46200]	Loss: 0.2751	LR: 0.000800
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Training Epoch: 36 [29184/46200]	Loss: 0.2742	LR: 0.000800
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Training Epoch: 36 [29696/46200]	Loss: 0.3243	LR: 0.000800
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Training Epoch: 36 [36096/46200]	Loss: 0.2749	LR: 0.000800
Training Epoch: 36 [36352/46200]	Loss: 0.2675	LR: 0.000800
Training Epoch: 36 [36608/46200]	Loss: 0.3058	LR: 0.000800
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Training Epoch: 36 [37120/46200]	Loss: 0.2956	LR: 0.000800
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Training Epoch: 36 [37632/46200]	Loss: 0.2937	LR: 0.000800
Training Epoch: 36 [37888/46200]	Loss: 0.3222	LR: 0.000800
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Training Epoch: 36 [38656/46200]	Loss: 0.2431	LR: 0.000800
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Training Epoch: 36 [40192/46200]	Loss: 0.3171	LR: 0.000800
Training Epoch: 36 [40448/46200]	Loss: 0.3204	LR: 0.000800
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Training Epoch: 36 [40960/46200]	Loss: 0.2284	LR: 0.000800
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Training Epoch: 36 [41984/46200]	Loss: 0.2961	LR: 0.000800
Training Epoch: 36 [42240/46200]	Loss: 0.3172	LR: 0.000800
Training Epoch: 36 [42496/46200]	Loss: 0.2409	LR: 0.000800
Training Epoch: 36 [42752/46200]	Loss: 0.3663	LR: 0.000800
Training Epoch: 36 [43008/46200]	Loss: 0.2335	LR: 0.000800
Training Epoch: 36 [43264/46200]	Loss: 0.3267	LR: 0.000800
Training Epoch: 36 [43520/46200]	Loss: 0.2882	LR: 0.000800
Training Epoch: 36 [43776/46200]	Loss: 0.3732	LR: 0.000800
Training Epoch: 36 [44032/46200]	Loss: 0.2994	LR: 0.000800
Training Epoch: 36 [44288/46200]	Loss: 0.2759	LR: 0.000800
Training Epoch: 36 [44544/46200]	Loss: 0.2981	LR: 0.000800
Training Epoch: 36 [44800/46200]	Loss: 0.3274	LR: 0.000800
Training Epoch: 36 [45056/46200]	Loss: 0.3195	LR: 0.000800
Training Epoch: 36 [45312/46200]	Loss: 0.3518	LR: 0.000800
Training Epoch: 36 [45568/46200]	Loss: 0.2636	LR: 0.000800
Training Epoch: 36 [45824/46200]	Loss: 0.2692	LR: 0.000800
Training Epoch: 36 [46080/46200]	Loss: 0.3213	LR: 0.000800
Training Epoch: 36 [46200/46200]	Loss: 0.2924	LR: 0.000800
Epoch 36 - Average Train Loss: 0.3030, Train Accuracy: 0.9075
Epoch 36 training time consumed: 24.98s
Evaluating Network.....
Test set: Epoch: 36, Average loss: 0.0029, Accuracy: 0.7884, Time consumed:0.87s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_17h_38m_23s/AllCNN-Cifar20-seed6-ret25-36-best.pth
Training Epoch: 37 [256/46200]	Loss: 0.3554	LR: 0.000800
Training Epoch: 37 [512/46200]	Loss: 0.3016	LR: 0.000800
Training Epoch: 37 [768/46200]	Loss: 0.3798	LR: 0.000800
Training Epoch: 37 [1024/46200]	Loss: 0.2869	LR: 0.000800
Training Epoch: 37 [1280/46200]	Loss: 0.2967	LR: 0.000800
Training Epoch: 37 [1536/46200]	Loss: 0.2487	LR: 0.000800
Training Epoch: 37 [1792/46200]	Loss: 0.2846	LR: 0.000800
Training Epoch: 37 [2048/46200]	Loss: 0.2614	LR: 0.000800
Training Epoch: 37 [2304/46200]	Loss: 0.3076	LR: 0.000800
Training Epoch: 37 [2560/46200]	Loss: 0.2801	LR: 0.000800
Training Epoch: 37 [2816/46200]	Loss: 0.2945	LR: 0.000800
Training Epoch: 37 [3072/46200]	Loss: 0.3233	LR: 0.000800
Training Epoch: 37 [3328/46200]	Loss: 0.2991	LR: 0.000800
Training Epoch: 37 [3584/46200]	Loss: 0.2827	LR: 0.000800
Training Epoch: 37 [3840/46200]	Loss: 0.3015	LR: 0.000800
Training Epoch: 37 [4096/46200]	Loss: 0.3232	LR: 0.000800
Training Epoch: 37 [4352/46200]	Loss: 0.2562	LR: 0.000800
Training Epoch: 37 [4608/46200]	Loss: 0.2904	LR: 0.000800
Training Epoch: 37 [4864/46200]	Loss: 0.2351	LR: 0.000800
Training Epoch: 37 [5120/46200]	Loss: 0.3338	LR: 0.000800
Training Epoch: 37 [5376/46200]	Loss: 0.2344	LR: 0.000800
Training Epoch: 37 [5632/46200]	Loss: 0.2664	LR: 0.000800
Training Epoch: 37 [5888/46200]	Loss: 0.2983	LR: 0.000800
Training Epoch: 37 [6144/46200]	Loss: 0.2925	LR: 0.000800
Training Epoch: 37 [6400/46200]	Loss: 0.2816	LR: 0.000800
Training Epoch: 37 [6656/46200]	Loss: 0.2915	LR: 0.000800
Training Epoch: 37 [6912/46200]	Loss: 0.2508	LR: 0.000800
Training Epoch: 37 [7168/46200]	Loss: 0.2277	LR: 0.000800
Training Epoch: 37 [7424/46200]	Loss: 0.2994	LR: 0.000800
Training Epoch: 37 [7680/46200]	Loss: 0.2895	LR: 0.000800
Training Epoch: 37 [7936/46200]	Loss: 0.3003	LR: 0.000800
Training Epoch: 37 [8192/46200]	Loss: 0.2649	LR: 0.000800
Training Epoch: 37 [8448/46200]	Loss: 0.2858	LR: 0.000800
Training Epoch: 37 [8704/46200]	Loss: 0.2653	LR: 0.000800
Training Epoch: 37 [8960/46200]	Loss: 0.2913	LR: 0.000800
Training Epoch: 37 [9216/46200]	Loss: 0.2847	LR: 0.000800
Training Epoch: 37 [9472/46200]	Loss: 0.2584	LR: 0.000800
Training Epoch: 37 [9728/46200]	Loss: 0.3243	LR: 0.000800
Training Epoch: 37 [9984/46200]	Loss: 0.2925	LR: 0.000800
Training Epoch: 37 [10240/46200]	Loss: 0.2922	LR: 0.000800
Training Epoch: 37 [10496/46200]	Loss: 0.2464	LR: 0.000800
Training Epoch: 37 [10752/46200]	Loss: 0.2786	LR: 0.000800
Training Epoch: 37 [11008/46200]	Loss: 0.3219	LR: 0.000800
Training Epoch: 37 [11264/46200]	Loss: 0.2321	LR: 0.000800
Training Epoch: 37 [11520/46200]	Loss: 0.2830	LR: 0.000800
Training Epoch: 37 [11776/46200]	Loss: 0.2799	LR: 0.000800
Training Epoch: 37 [12032/46200]	Loss: 0.3138	LR: 0.000800
Training Epoch: 37 [12288/46200]	Loss: 0.3015	LR: 0.000800
Training Epoch: 37 [12544/46200]	Loss: 0.3084	LR: 0.000800
Training Epoch: 37 [12800/46200]	Loss: 0.2751	LR: 0.000800
Training Epoch: 37 [13056/46200]	Loss: 0.2436	LR: 0.000800
Training Epoch: 37 [13312/46200]	Loss: 0.2543	LR: 0.000800
Training Epoch: 37 [13568/46200]	Loss: 0.2915	LR: 0.000800
Training Epoch: 37 [13824/46200]	Loss: 0.2323	LR: 0.000800
Training Epoch: 37 [14080/46200]	Loss: 0.2696	LR: 0.000800
Training Epoch: 37 [14336/46200]	Loss: 0.3659	LR: 0.000800
Training Epoch: 37 [14592/46200]	Loss: 0.3602	LR: 0.000800
Training Epoch: 37 [14848/46200]	Loss: 0.3304	LR: 0.000800
Training Epoch: 37 [15104/46200]	Loss: 0.2995	LR: 0.000800
Training Epoch: 37 [15360/46200]	Loss: 0.2539	LR: 0.000800
Training Epoch: 37 [15616/46200]	Loss: 0.3113	LR: 0.000800
Training Epoch: 37 [15872/46200]	Loss: 0.3910	LR: 0.000800
Training Epoch: 37 [16128/46200]	Loss: 0.3934	LR: 0.000800
Training Epoch: 37 [16384/46200]	Loss: 0.3259	LR: 0.000800
Training Epoch: 37 [16640/46200]	Loss: 0.2731	LR: 0.000800
Training Epoch: 37 [16896/46200]	Loss: 0.3159	LR: 0.000800
Training Epoch: 37 [17152/46200]	Loss: 0.2505	LR: 0.000800
Training Epoch: 37 [17408/46200]	Loss: 0.2884	LR: 0.000800
Training Epoch: 37 [17664/46200]	Loss: 0.3025	LR: 0.000800
Training Epoch: 37 [17920/46200]	Loss: 0.3607	LR: 0.000800
Training Epoch: 37 [18176/46200]	Loss: 0.3588	LR: 0.000800
Training Epoch: 37 [18432/46200]	Loss: 0.2645	LR: 0.000800
Training Epoch: 37 [18688/46200]	Loss: 0.3770	LR: 0.000800
Training Epoch: 37 [18944/46200]	Loss: 0.3296	LR: 0.000800
Training Epoch: 37 [19200/46200]	Loss: 0.3049	LR: 0.000800
Training Epoch: 37 [19456/46200]	Loss: 0.3006	LR: 0.000800
Training Epoch: 37 [19712/46200]	Loss: 0.3132	LR: 0.000800
Training Epoch: 37 [19968/46200]	Loss: 0.3620	LR: 0.000800
Training Epoch: 37 [20224/46200]	Loss: 0.2844	LR: 0.000800
Training Epoch: 37 [20480/46200]	Loss: 0.3227	LR: 0.000800
Training Epoch: 37 [20736/46200]	Loss: 0.2466	LR: 0.000800
Training Epoch: 37 [20992/46200]	Loss: 0.2866	LR: 0.000800
Training Epoch: 37 [21248/46200]	Loss: 0.3768	LR: 0.000800
Training Epoch: 37 [21504/46200]	Loss: 0.2912	LR: 0.000800
Training Epoch: 37 [21760/46200]	Loss: 0.2763	LR: 0.000800
Training Epoch: 37 [22016/46200]	Loss: 0.2782	LR: 0.000800
Training Epoch: 37 [22272/46200]	Loss: 0.2717	LR: 0.000800
Training Epoch: 37 [22528/46200]	Loss: 0.2907	LR: 0.000800
Training Epoch: 37 [22784/46200]	Loss: 0.3279	LR: 0.000800
Training Epoch: 37 [23040/46200]	Loss: 0.3013	LR: 0.000800
Training Epoch: 37 [23296/46200]	Loss: 0.3177	LR: 0.000800
Training Epoch: 37 [23552/46200]	Loss: 0.3043	LR: 0.000800
Training Epoch: 37 [23808/46200]	Loss: 0.3323	LR: 0.000800
Training Epoch: 37 [24064/46200]	Loss: 0.3287	LR: 0.000800
Training Epoch: 37 [24320/46200]	Loss: 0.2766	LR: 0.000800
Training Epoch: 37 [24576/46200]	Loss: 0.2449	LR: 0.000800
Training Epoch: 37 [24832/46200]	Loss: 0.2585	LR: 0.000800
Training Epoch: 37 [25088/46200]	Loss: 0.2670	LR: 0.000800
Training Epoch: 37 [25344/46200]	Loss: 0.3967	LR: 0.000800
Training Epoch: 37 [25600/46200]	Loss: 0.3017	LR: 0.000800
Training Epoch: 37 [25856/46200]	Loss: 0.3049	LR: 0.000800
Training Epoch: 37 [26112/46200]	Loss: 0.2920	LR: 0.000800
Training Epoch: 37 [26368/46200]	Loss: 0.2709	LR: 0.000800
Training Epoch: 37 [26624/46200]	Loss: 0.2626	LR: 0.000800
Training Epoch: 37 [26880/46200]	Loss: 0.3162	LR: 0.000800
Training Epoch: 37 [27136/46200]	Loss: 0.3870	LR: 0.000800
Training Epoch: 37 [27392/46200]	Loss: 0.3682	LR: 0.000800
Training Epoch: 37 [27648/46200]	Loss: 0.3099	LR: 0.000800
Training Epoch: 37 [27904/46200]	Loss: 0.2597	LR: 0.000800
Training Epoch: 37 [28160/46200]	Loss: 0.3169	LR: 0.000800
Training Epoch: 37 [28416/46200]	Loss: 0.3585	LR: 0.000800
Training Epoch: 37 [28672/46200]	Loss: 0.3200	LR: 0.000800
Training Epoch: 37 [28928/46200]	Loss: 0.3282	LR: 0.000800
Training Epoch: 37 [29184/46200]	Loss: 0.2985	LR: 0.000800
Training Epoch: 37 [29440/46200]	Loss: 0.3386	LR: 0.000800
Training Epoch: 37 [29696/46200]	Loss: 0.2530	LR: 0.000800
Training Epoch: 37 [29952/46200]	Loss: 0.2903	LR: 0.000800
Training Epoch: 37 [30208/46200]	Loss: 0.3266	LR: 0.000800
Training Epoch: 37 [30464/46200]	Loss: 0.3008	LR: 0.000800
Training Epoch: 37 [30720/46200]	Loss: 0.2303	LR: 0.000800
Training Epoch: 37 [30976/46200]	Loss: 0.2494	LR: 0.000800
Training Epoch: 37 [31232/46200]	Loss: 0.3182	LR: 0.000800
Training Epoch: 37 [31488/46200]	Loss: 0.2745	LR: 0.000800
Training Epoch: 37 [31744/46200]	Loss: 0.2739	LR: 0.000800
Training Epoch: 37 [32000/46200]	Loss: 0.3419	LR: 0.000800
Training Epoch: 37 [32256/46200]	Loss: 0.3488	LR: 0.000800
Training Epoch: 37 [32512/46200]	Loss: 0.3163	LR: 0.000800
Training Epoch: 37 [32768/46200]	Loss: 0.3068	LR: 0.000800
Training Epoch: 37 [33024/46200]	Loss: 0.2811	LR: 0.000800
Training Epoch: 37 [33280/46200]	Loss: 0.3290	LR: 0.000800
Training Epoch: 37 [33536/46200]	Loss: 0.3585	LR: 0.000800
Training Epoch: 37 [33792/46200]	Loss: 0.3238	LR: 0.000800
Training Epoch: 37 [34048/46200]	Loss: 0.2670	LR: 0.000800
Training Epoch: 37 [34304/46200]	Loss: 0.2648	LR: 0.000800
Training Epoch: 37 [34560/46200]	Loss: 0.2711	LR: 0.000800
Training Epoch: 37 [34816/46200]	Loss: 0.3049	LR: 0.000800
Training Epoch: 37 [35072/46200]	Loss: 0.3170	LR: 0.000800
Training Epoch: 37 [35328/46200]	Loss: 0.2739	LR: 0.000800
Training Epoch: 37 [35584/46200]	Loss: 0.3436	LR: 0.000800
Training Epoch: 37 [35840/46200]	Loss: 0.3076	LR: 0.000800
Training Epoch: 37 [36096/46200]	Loss: 0.2980	LR: 0.000800
Training Epoch: 37 [36352/46200]	Loss: 0.3197	LR: 0.000800
Training Epoch: 37 [36608/46200]	Loss: 0.3058	LR: 0.000800
Training Epoch: 37 [36864/46200]	Loss: 0.3090	LR: 0.000800
Training Epoch: 37 [37120/46200]	Loss: 0.2846	LR: 0.000800
Training Epoch: 37 [37376/46200]	Loss: 0.2714	LR: 0.000800
Training Epoch: 37 [37632/46200]	Loss: 0.2756	LR: 0.000800
Training Epoch: 37 [37888/46200]	Loss: 0.2957	LR: 0.000800
Training Epoch: 37 [38144/46200]	Loss: 0.2777	LR: 0.000800
Training Epoch: 37 [38400/46200]	Loss: 0.2941	LR: 0.000800
Training Epoch: 37 [38656/46200]	Loss: 0.2872	LR: 0.000800
Training Epoch: 37 [38912/46200]	Loss: 0.3150	LR: 0.000800
Training Epoch: 37 [39168/46200]	Loss: 0.3224	LR: 0.000800
Training Epoch: 37 [39424/46200]	Loss: 0.3941	LR: 0.000800
Training Epoch: 37 [39680/46200]	Loss: 0.3031	LR: 0.000800
Training Epoch: 37 [39936/46200]	Loss: 0.4000	LR: 0.000800
Training Epoch: 37 [40192/46200]	Loss: 0.2998	LR: 0.000800
Training Epoch: 37 [40448/46200]	Loss: 0.3460	LR: 0.000800
Training Epoch: 37 [40704/46200]	Loss: 0.3282	LR: 0.000800
Training Epoch: 37 [40960/46200]	Loss: 0.3192	LR: 0.000800
Training Epoch: 37 [41216/46200]	Loss: 0.2926	LR: 0.000800
Training Epoch: 37 [41472/46200]	Loss: 0.2760	LR: 0.000800
Training Epoch: 37 [41728/46200]	Loss: 0.3538	LR: 0.000800
Training Epoch: 37 [41984/46200]	Loss: 0.2954	LR: 0.000800
Training Epoch: 37 [42240/46200]	Loss: 0.3256	LR: 0.000800
Training Epoch: 37 [42496/46200]	Loss: 0.2702	LR: 0.000800
Training Epoch: 37 [42752/46200]	Loss: 0.2830	LR: 0.000800
Training Epoch: 37 [43008/46200]	Loss: 0.2823	LR: 0.000800
Training Epoch: 37 [43264/46200]	Loss: 0.3226	LR: 0.000800
Training Epoch: 37 [43520/46200]	Loss: 0.3688	LR: 0.000800
Training Epoch: 37 [43776/46200]	Loss: 0.3096	LR: 0.000800
Training Epoch: 37 [44032/46200]	Loss: 0.3081	LR: 0.000800
Training Epoch: 37 [44288/46200]	Loss: 0.3887	LR: 0.000800
Training Epoch: 37 [44544/46200]	Loss: 0.3587	LR: 0.000800
Training Epoch: 37 [44800/46200]	Loss: 0.3565	LR: 0.000800
Training Epoch: 37 [45056/46200]	Loss: 0.3048	LR: 0.000800
Training Epoch: 37 [45312/46200]	Loss: 0.3272	LR: 0.000800
Training Epoch: 37 [45568/46200]	Loss: 0.3381	LR: 0.000800
Training Epoch: 37 [45824/46200]	Loss: 0.3009	LR: 0.000800
Training Epoch: 37 [46080/46200]	Loss: 0.3414	LR: 0.000800
Training Epoch: 37 [46200/46200]	Loss: 0.3072	LR: 0.000800
Epoch 37 - Average Train Loss: 0.3030, Train Accuracy: 0.9084
Epoch 37 training time consumed: 24.92s
Evaluating Network.....
Test set: Epoch: 37, Average loss: 0.0029, Accuracy: 0.7867, Time consumed:0.86s
Training Epoch: 38 [256/46200]	Loss: 0.3385	LR: 0.000800
Training Epoch: 38 [512/46200]	Loss: 0.2783	LR: 0.000800
Training Epoch: 38 [768/46200]	Loss: 0.2638	LR: 0.000800
Training Epoch: 38 [1024/46200]	Loss: 0.2466	LR: 0.000800
Training Epoch: 38 [1280/46200]	Loss: 0.2365	LR: 0.000800
Training Epoch: 38 [1536/46200]	Loss: 0.3142	LR: 0.000800
Training Epoch: 38 [1792/46200]	Loss: 0.3332	LR: 0.000800
Training Epoch: 38 [2048/46200]	Loss: 0.2503	LR: 0.000800
Training Epoch: 38 [2304/46200]	Loss: 0.2864	LR: 0.000800
Training Epoch: 38 [2560/46200]	Loss: 0.3227	LR: 0.000800
Training Epoch: 38 [2816/46200]	Loss: 0.2782	LR: 0.000800
Training Epoch: 38 [3072/46200]	Loss: 0.3065	LR: 0.000800
Training Epoch: 38 [3328/46200]	Loss: 0.2198	LR: 0.000800
Training Epoch: 38 [3584/46200]	Loss: 0.2168	LR: 0.000800
Training Epoch: 38 [3840/46200]	Loss: 0.2686	LR: 0.000800
Training Epoch: 38 [4096/46200]	Loss: 0.3096	LR: 0.000800
Training Epoch: 38 [4352/46200]	Loss: 0.3521	LR: 0.000800
Training Epoch: 38 [4608/46200]	Loss: 0.2900	LR: 0.000800
Training Epoch: 38 [4864/46200]	Loss: 0.3451	LR: 0.000800
Training Epoch: 38 [5120/46200]	Loss: 0.3097	LR: 0.000800
Training Epoch: 38 [5376/46200]	Loss: 0.2576	LR: 0.000800
Training Epoch: 38 [5632/46200]	Loss: 0.2880	LR: 0.000800
Training Epoch: 38 [5888/46200]	Loss: 0.2301	LR: 0.000800
Training Epoch: 38 [6144/46200]	Loss: 0.2936	LR: 0.000800
Training Epoch: 38 [6400/46200]	Loss: 0.2974	LR: 0.000800
Training Epoch: 38 [6656/46200]	Loss: 0.3438	LR: 0.000800
Training Epoch: 38 [6912/46200]	Loss: 0.2923	LR: 0.000800
Training Epoch: 38 [7168/46200]	Loss: 0.2745	LR: 0.000800
Training Epoch: 38 [7424/46200]	Loss: 0.3168	LR: 0.000800
Training Epoch: 38 [7680/46200]	Loss: 0.2312	LR: 0.000800
Training Epoch: 38 [7936/46200]	Loss: 0.2752	LR: 0.000800
Training Epoch: 38 [8192/46200]	Loss: 0.2645	LR: 0.000800
Training Epoch: 38 [8448/46200]	Loss: 0.2759	LR: 0.000800
Training Epoch: 38 [8704/46200]	Loss: 0.2883	LR: 0.000800
Training Epoch: 38 [8960/46200]	Loss: 0.2262	LR: 0.000800
Training Epoch: 38 [9216/46200]	Loss: 0.2923	LR: 0.000800
Training Epoch: 38 [9472/46200]	Loss: 0.2594	LR: 0.000800
Training Epoch: 38 [9728/46200]	Loss: 0.2903	LR: 0.000800
Training Epoch: 38 [9984/46200]	Loss: 0.3618	LR: 0.000800
Training Epoch: 38 [10240/46200]	Loss: 0.3261	LR: 0.000800
Training Epoch: 38 [10496/46200]	Loss: 0.2164	LR: 0.000800
Training Epoch: 38 [10752/46200]	Loss: 0.2641	LR: 0.000800
Training Epoch: 38 [11008/46200]	Loss: 0.2396	LR: 0.000800
Training Epoch: 38 [11264/46200]	Loss: 0.3106	LR: 0.000800
Training Epoch: 38 [11520/46200]	Loss: 0.3696	LR: 0.000800
Training Epoch: 38 [11776/46200]	Loss: 0.2721	LR: 0.000800
Training Epoch: 38 [12032/46200]	Loss: 0.2984	LR: 0.000800
Training Epoch: 38 [12288/46200]	Loss: 0.2911	LR: 0.000800
Training Epoch: 38 [12544/46200]	Loss: 0.2443	LR: 0.000800
Training Epoch: 38 [12800/46200]	Loss: 0.4053	LR: 0.000800
Training Epoch: 38 [13056/46200]	Loss: 0.2419	LR: 0.000800
Training Epoch: 38 [13312/46200]	Loss: 0.2863	LR: 0.000800
Training Epoch: 38 [13568/46200]	Loss: 0.3949	LR: 0.000800
Training Epoch: 38 [13824/46200]	Loss: 0.3079	LR: 0.000800
Training Epoch: 38 [14080/46200]	Loss: 0.2663	LR: 0.000800
Training Epoch: 38 [14336/46200]	Loss: 0.3013	LR: 0.000800
Training Epoch: 38 [14592/46200]	Loss: 0.2728	LR: 0.000800
Training Epoch: 38 [14848/46200]	Loss: 0.3031	LR: 0.000800
Training Epoch: 38 [15104/46200]	Loss: 0.3908	LR: 0.000800
Training Epoch: 38 [15360/46200]	Loss: 0.3071	LR: 0.000800
Training Epoch: 38 [15616/46200]	Loss: 0.3608	LR: 0.000800
Training Epoch: 38 [15872/46200]	Loss: 0.2596	LR: 0.000800
Training Epoch: 38 [16128/46200]	Loss: 0.2926	LR: 0.000800
Training Epoch: 38 [16384/46200]	Loss: 0.2991	LR: 0.000800
Training Epoch: 38 [16640/46200]	Loss: 0.3620	LR: 0.000800
Training Epoch: 38 [16896/46200]	Loss: 0.3584	LR: 0.000800
Training Epoch: 38 [17152/46200]	Loss: 0.3005	LR: 0.000800
Training Epoch: 38 [17408/46200]	Loss: 0.3324	LR: 0.000800
Training Epoch: 38 [17664/46200]	Loss: 0.3148	LR: 0.000800
Training Epoch: 38 [17920/46200]	Loss: 0.2732	LR: 0.000800
Training Epoch: 38 [18176/46200]	Loss: 0.3324	LR: 0.000800
Training Epoch: 38 [18432/46200]	Loss: 0.3199	LR: 0.000800
Training Epoch: 38 [18688/46200]	Loss: 0.2630	LR: 0.000800
Training Epoch: 38 [18944/46200]	Loss: 0.2637	LR: 0.000800
Training Epoch: 38 [19200/46200]	Loss: 0.3514	LR: 0.000800
Training Epoch: 38 [19456/46200]	Loss: 0.3174	LR: 0.000800
Training Epoch: 38 [19712/46200]	Loss: 0.2953	LR: 0.000800
Training Epoch: 38 [19968/46200]	Loss: 0.2531	LR: 0.000800
Training Epoch: 38 [20224/46200]	Loss: 0.3196	LR: 0.000800
Training Epoch: 38 [20480/46200]	Loss: 0.3525	LR: 0.000800
Training Epoch: 38 [20736/46200]	Loss: 0.2943	LR: 0.000800
Training Epoch: 38 [20992/46200]	Loss: 0.2099	LR: 0.000800
Training Epoch: 38 [21248/46200]	Loss: 0.2975	LR: 0.000800
Training Epoch: 38 [21504/46200]	Loss: 0.2256	LR: 0.000800
Training Epoch: 38 [21760/46200]	Loss: 0.2709	LR: 0.000800
Training Epoch: 38 [22016/46200]	Loss: 0.3164	LR: 0.000800
Training Epoch: 38 [22272/46200]	Loss: 0.3013	LR: 0.000800
Training Epoch: 38 [22528/46200]	Loss: 0.1978	LR: 0.000800
Training Epoch: 38 [22784/46200]	Loss: 0.2918	LR: 0.000800
Training Epoch: 38 [23040/46200]	Loss: 0.3468	LR: 0.000800
Training Epoch: 38 [23296/46200]	Loss: 0.3374	LR: 0.000800
Training Epoch: 38 [23552/46200]	Loss: 0.2917	LR: 0.000800
Training Epoch: 38 [23808/46200]	Loss: 0.3219	LR: 0.000800
Training Epoch: 38 [24064/46200]	Loss: 0.3044	LR: 0.000800
Training Epoch: 38 [24320/46200]	Loss: 0.3039	LR: 0.000800
Training Epoch: 38 [24576/46200]	Loss: 0.2883	LR: 0.000800
Training Epoch: 38 [24832/46200]	Loss: 0.3191	LR: 0.000800
Training Epoch: 38 [25088/46200]	Loss: 0.2784	LR: 0.000800
Training Epoch: 38 [25344/46200]	Loss: 0.2797	LR: 0.000800
Training Epoch: 38 [25600/46200]	Loss: 0.3042	LR: 0.000800
Training Epoch: 38 [25856/46200]	Loss: 0.2700	LR: 0.000800
Training Epoch: 38 [26112/46200]	Loss: 0.3077	LR: 0.000800
Training Epoch: 38 [26368/46200]	Loss: 0.2868	LR: 0.000800
Training Epoch: 38 [26624/46200]	Loss: 0.2058	LR: 0.000800
Training Epoch: 38 [26880/46200]	Loss: 0.2688	LR: 0.000800
Training Epoch: 38 [27136/46200]	Loss: 0.2796	LR: 0.000800
Training Epoch: 38 [27392/46200]	Loss: 0.3065	LR: 0.000800
Training Epoch: 38 [27648/46200]	Loss: 0.2592	LR: 0.000800
Training Epoch: 38 [27904/46200]	Loss: 0.2627	LR: 0.000800
Training Epoch: 38 [28160/46200]	Loss: 0.2644	LR: 0.000800
Training Epoch: 38 [28416/46200]	Loss: 0.2708	LR: 0.000800
Training Epoch: 38 [28672/46200]	Loss: 0.3014	LR: 0.000800
Training Epoch: 38 [28928/46200]	Loss: 0.3133	LR: 0.000800
Training Epoch: 38 [29184/46200]	Loss: 0.2519	LR: 0.000800
Training Epoch: 38 [29440/46200]	Loss: 0.3059	LR: 0.000800
Training Epoch: 38 [29696/46200]	Loss: 0.2853	LR: 0.000800
Training Epoch: 38 [29952/46200]	Loss: 0.2273	LR: 0.000800
Training Epoch: 38 [30208/46200]	Loss: 0.3178	LR: 0.000800
Training Epoch: 38 [30464/46200]	Loss: 0.2289	LR: 0.000800
Training Epoch: 38 [30720/46200]	Loss: 0.2790	LR: 0.000800
Training Epoch: 38 [30976/46200]	Loss: 0.3453	LR: 0.000800
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Training Epoch: 38 [41216/46200]	Loss: 0.3311	LR: 0.000800
Training Epoch: 38 [41472/46200]	Loss: 0.2629	LR: 0.000800
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Training Epoch: 38 [41984/46200]	Loss: 0.3002	LR: 0.000800
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Training Epoch: 38 [42496/46200]	Loss: 0.3226	LR: 0.000800
Training Epoch: 38 [42752/46200]	Loss: 0.3093	LR: 0.000800
Training Epoch: 38 [43008/46200]	Loss: 0.2613	LR: 0.000800
Training Epoch: 38 [43264/46200]	Loss: 0.2974	LR: 0.000800
Training Epoch: 38 [43520/46200]	Loss: 0.3404	LR: 0.000800
Training Epoch: 38 [43776/46200]	Loss: 0.3460	LR: 0.000800
Training Epoch: 38 [44032/46200]	Loss: 0.2687	LR: 0.000800
Training Epoch: 38 [44288/46200]	Loss: 0.3645	LR: 0.000800
Training Epoch: 38 [44544/46200]	Loss: 0.2636	LR: 0.000800
Training Epoch: 38 [44800/46200]	Loss: 0.2259	LR: 0.000800
Training Epoch: 38 [45056/46200]	Loss: 0.3109	LR: 0.000800
Training Epoch: 38 [45312/46200]	Loss: 0.2676	LR: 0.000800
Training Epoch: 38 [45568/46200]	Loss: 0.2622	LR: 0.000800
Training Epoch: 38 [45824/46200]	Loss: 0.2976	LR: 0.000800
Training Epoch: 38 [46080/46200]	Loss: 0.3812	LR: 0.000800
Training Epoch: 38 [46200/46200]	Loss: 0.3605	LR: 0.000800
Epoch 38 - Average Train Loss: 0.2928, Train Accuracy: 0.9130
Epoch 38 training time consumed: 25.09s
Evaluating Network.....
Test set: Epoch: 38, Average loss: 0.0029, Accuracy: 0.7891, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_17h_38m_23s/AllCNN-Cifar20-seed6-ret25-38-best.pth
Training Epoch: 39 [256/46200]	Loss: 0.3477	LR: 0.000800
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Training Epoch: 39 [42496/46200]	Loss: 0.3286	LR: 0.000800
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Training Epoch: 39 [43520/46200]	Loss: 0.3465	LR: 0.000800
Training Epoch: 39 [43776/46200]	Loss: 0.2761	LR: 0.000800
Training Epoch: 39 [44032/46200]	Loss: 0.2308	LR: 0.000800
Training Epoch: 39 [44288/46200]	Loss: 0.2959	LR: 0.000800
Training Epoch: 39 [44544/46200]	Loss: 0.3108	LR: 0.000800
Training Epoch: 39 [44800/46200]	Loss: 0.2789	LR: 0.000800
Training Epoch: 39 [45056/46200]	Loss: 0.3459	LR: 0.000800
Training Epoch: 39 [45312/46200]	Loss: 0.2882	LR: 0.000800
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Training Epoch: 39 [45824/46200]	Loss: 0.3454	LR: 0.000800
Training Epoch: 39 [46080/46200]	Loss: 0.2931	LR: 0.000800
Training Epoch: 39 [46200/46200]	Loss: 0.2976	LR: 0.000800
Epoch 39 - Average Train Loss: 0.2966, Train Accuracy: 0.9105
Epoch 39 training time consumed: 25.08s
Evaluating Network.....
Test set: Epoch: 39, Average loss: 0.0029, Accuracy: 0.7869, Time consumed:0.85s
Training Epoch: 40 [256/46200]	Loss: 0.2167	LR: 0.000800
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Training Epoch: 40 [1024/46200]	Loss: 0.2729	LR: 0.000800
Training Epoch: 40 [1280/46200]	Loss: 0.3233	LR: 0.000800
Training Epoch: 40 [1536/46200]	Loss: 0.3213	LR: 0.000800
Training Epoch: 40 [1792/46200]	Loss: 0.2997	LR: 0.000800
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Training Epoch: 40 [10496/46200]	Loss: 0.3182	LR: 0.000800
Training Epoch: 40 [10752/46200]	Loss: 0.2301	LR: 0.000800
Training Epoch: 40 [11008/46200]	Loss: 0.3216	LR: 0.000800
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Training Epoch: 40 [21504/46200]	Loss: 0.3401	LR: 0.000800
Training Epoch: 40 [21760/46200]	Loss: 0.2786	LR: 0.000800
Training Epoch: 40 [22016/46200]	Loss: 0.3396	LR: 0.000800
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Training Epoch: 40 [24576/46200]	Loss: 0.3489	LR: 0.000800
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Training Epoch: 40 [25600/46200]	Loss: 0.2485	LR: 0.000800
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Training Epoch: 40 [26112/46200]	Loss: 0.2863	LR: 0.000800
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Training Epoch: 40 [28160/46200]	Loss: 0.3159	LR: 0.000800
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Training Epoch: 40 [31232/46200]	Loss: 0.2486	LR: 0.000800
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Training Epoch: 40 [32512/46200]	Loss: 0.3659	LR: 0.000800
Training Epoch: 40 [32768/46200]	Loss: 0.2225	LR: 0.000800
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Training Epoch: 40 [34304/46200]	Loss: 0.3315	LR: 0.000800
Training Epoch: 40 [34560/46200]	Loss: 0.3018	LR: 0.000800
Training Epoch: 40 [34816/46200]	Loss: 0.3098	LR: 0.000800
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Training Epoch: 40 [35328/46200]	Loss: 0.2743	LR: 0.000800
Training Epoch: 40 [35584/46200]	Loss: 0.3404	LR: 0.000800
Training Epoch: 40 [35840/46200]	Loss: 0.2882	LR: 0.000800
Training Epoch: 40 [36096/46200]	Loss: 0.2769	LR: 0.000800
Training Epoch: 40 [36352/46200]	Loss: 0.3123	LR: 0.000800
Training Epoch: 40 [36608/46200]	Loss: 0.2562	LR: 0.000800
Training Epoch: 40 [36864/46200]	Loss: 0.3401	LR: 0.000800
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Training Epoch: 40 [37632/46200]	Loss: 0.3228	LR: 0.000800
Training Epoch: 40 [37888/46200]	Loss: 0.2906	LR: 0.000800
Training Epoch: 40 [38144/46200]	Loss: 0.3460	LR: 0.000800
Training Epoch: 40 [38400/46200]	Loss: 0.2812	LR: 0.000800
Training Epoch: 40 [38656/46200]	Loss: 0.2691	LR: 0.000800
Training Epoch: 40 [38912/46200]	Loss: 0.3219	LR: 0.000800
Training Epoch: 40 [39168/46200]	Loss: 0.3236	LR: 0.000800
Training Epoch: 40 [39424/46200]	Loss: 0.3809	LR: 0.000800
Training Epoch: 40 [39680/46200]	Loss: 0.2884	LR: 0.000800
Training Epoch: 40 [39936/46200]	Loss: 0.2869	LR: 0.000800
Training Epoch: 40 [40192/46200]	Loss: 0.3086	LR: 0.000800
Training Epoch: 40 [40448/46200]	Loss: 0.3373	LR: 0.000800
Training Epoch: 40 [40704/46200]	Loss: 0.3499	LR: 0.000800
Training Epoch: 40 [40960/46200]	Loss: 0.3359	LR: 0.000800
Training Epoch: 40 [41216/46200]	Loss: 0.3042	LR: 0.000800
Training Epoch: 40 [41472/46200]	Loss: 0.3672	LR: 0.000800
Training Epoch: 40 [41728/46200]	Loss: 0.3254	LR: 0.000800
Training Epoch: 40 [41984/46200]	Loss: 0.2427	LR: 0.000800
Training Epoch: 40 [42240/46200]	Loss: 0.3229	LR: 0.000800
Training Epoch: 40 [42496/46200]	Loss: 0.2816	LR: 0.000800
Training Epoch: 40 [42752/46200]	Loss: 0.2808	LR: 0.000800
Training Epoch: 40 [43008/46200]	Loss: 0.2232	LR: 0.000800
Training Epoch: 40 [43264/46200]	Loss: 0.3267	LR: 0.000800
Training Epoch: 40 [43520/46200]	Loss: 0.2445	LR: 0.000800
Training Epoch: 40 [43776/46200]	Loss: 0.2747	LR: 0.000800
Training Epoch: 40 [44032/46200]	Loss: 0.2641	LR: 0.000800
Training Epoch: 40 [44288/46200]	Loss: 0.2813	LR: 0.000800
Training Epoch: 40 [44544/46200]	Loss: 0.3108	LR: 0.000800
Training Epoch: 40 [44800/46200]	Loss: 0.3215	LR: 0.000800
Training Epoch: 40 [45056/46200]	Loss: 0.2905	LR: 0.000800
Training Epoch: 40 [45312/46200]	Loss: 0.3328	LR: 0.000800
Training Epoch: 40 [45568/46200]	Loss: 0.2850	LR: 0.000800
Training Epoch: 40 [45824/46200]	Loss: 0.2974	LR: 0.000800
Training Epoch: 40 [46080/46200]	Loss: 0.3354	LR: 0.000800
Training Epoch: 40 [46200/46200]	Loss: 0.3021	LR: 0.000800
Epoch 40 - Average Train Loss: 0.2946, Train Accuracy: 0.9118
Epoch 40 training time consumed: 25.15s
Evaluating Network.....
Test set: Epoch: 40, Average loss: 0.0029, Accuracy: 0.7875, Time consumed:0.92s
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  46200
Forget Train Dl:  3800
Retain Valid Dl:  46200
Forget Valid Dl:  3800
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 3800 samples
Set1 Distribution: 3800 samples
Set2 Distribution: 3800 samples
Set1 Distribution: 3800 samples
Set2 Distribution: 3800 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 78.662109375
Retain Accuracy: 92.22807312011719
Zero-Retain Forget (ZRF): 0.9134793281555176
Membership Inference Attack (MIA): 0.44710526315789473
Forget vs Retain Membership Inference Attack (MIA): 0.5467105263157894
Forget vs Test Membership Inference Attack (MIA): 0.5368421052631579
Test vs Retain Membership Inference Attack (MIA): 0.4875
Train vs Test Membership Inference Attack (MIA): 0.55525
Forget Set Accuracy (Df): 77.3167495727539
Method Execution Time: 1538.03 seconds
