
📌 S Retain class distribution for seed 10:
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 10:
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: 3.0155	LR: 0.000000
Training Epoch: 1 [512/46200]	Loss: 3.0305	LR: 0.000552
Training Epoch: 1 [768/46200]	Loss: 3.0273	LR: 0.001105
Training Epoch: 1 [1024/46200]	Loss: 3.0474	LR: 0.001657
Training Epoch: 1 [1280/46200]	Loss: 3.0171	LR: 0.002210
Training Epoch: 1 [1536/46200]	Loss: 3.0204	LR: 0.002762
Training Epoch: 1 [1792/46200]	Loss: 3.0098	LR: 0.003315
Training Epoch: 1 [2048/46200]	Loss: 2.9852	LR: 0.003867
Training Epoch: 1 [2304/46200]	Loss: 2.9733	LR: 0.004420
Training Epoch: 1 [2560/46200]	Loss: 2.9462	LR: 0.004972
Training Epoch: 1 [2816/46200]	Loss: 2.9559	LR: 0.005525
Training Epoch: 1 [3072/46200]	Loss: 2.9386	LR: 0.006077
Training Epoch: 1 [3328/46200]	Loss: 2.9078	LR: 0.006630
Training Epoch: 1 [3584/46200]	Loss: 2.9064	LR: 0.007182
Training Epoch: 1 [3840/46200]	Loss: 2.8789	LR: 0.007735
Training Epoch: 1 [4096/46200]	Loss: 2.8760	LR: 0.008287
Training Epoch: 1 [4352/46200]	Loss: 2.8121	LR: 0.008840
Training Epoch: 1 [4608/46200]	Loss: 2.8352	LR: 0.009392
Training Epoch: 1 [4864/46200]	Loss: 2.8196	LR: 0.009945
Training Epoch: 1 [5120/46200]	Loss: 2.8148	LR: 0.010497
Training Epoch: 1 [5376/46200]	Loss: 2.8443	LR: 0.011050
Training Epoch: 1 [5632/46200]	Loss: 2.7112	LR: 0.011602
Training Epoch: 1 [5888/46200]	Loss: 2.8381	LR: 0.012155
Training Epoch: 1 [6144/46200]	Loss: 2.7607	LR: 0.012707
Training Epoch: 1 [6400/46200]	Loss: 2.7360	LR: 0.013260
Training Epoch: 1 [6656/46200]	Loss: 2.7643	LR: 0.013812
Training Epoch: 1 [6912/46200]	Loss: 2.8056	LR: 0.014365
Training Epoch: 1 [7168/46200]	Loss: 2.7390	LR: 0.014917
Training Epoch: 1 [7424/46200]	Loss: 2.7083	LR: 0.015470
Training Epoch: 1 [7680/46200]	Loss: 2.7330	LR: 0.016022
Training Epoch: 1 [7936/46200]	Loss: 2.7445	LR: 0.016575
Training Epoch: 1 [8192/46200]	Loss: 2.7100	LR: 0.017127
Training Epoch: 1 [8448/46200]	Loss: 2.6870	LR: 0.017680
Training Epoch: 1 [8704/46200]	Loss: 2.6226	LR: 0.018232
Training Epoch: 1 [8960/46200]	Loss: 2.6467	LR: 0.018785
Training Epoch: 1 [9216/46200]	Loss: 2.6270	LR: 0.019337
Training Epoch: 1 [9472/46200]	Loss: 2.6423	LR: 0.019890
Training Epoch: 1 [9728/46200]	Loss: 2.6743	LR: 0.020442
Training Epoch: 1 [9984/46200]	Loss: 2.5925	LR: 0.020994
Training Epoch: 1 [10240/46200]	Loss: 2.7124	LR: 0.021547
Training Epoch: 1 [10496/46200]	Loss: 2.6835	LR: 0.022099
Training Epoch: 1 [10752/46200]	Loss: 2.5644	LR: 0.022652
Training Epoch: 1 [11008/46200]	Loss: 2.5981	LR: 0.023204
Training Epoch: 1 [11264/46200]	Loss: 2.5681	LR: 0.023757
Training Epoch: 1 [11520/46200]	Loss: 2.6345	LR: 0.024309
Training Epoch: 1 [11776/46200]	Loss: 2.5953	LR: 0.024862
Training Epoch: 1 [12032/46200]	Loss: 2.6591	LR: 0.025414
Training Epoch: 1 [12288/46200]	Loss: 2.5563	LR: 0.025967
Training Epoch: 1 [12544/46200]	Loss: 2.6060	LR: 0.026519
Training Epoch: 1 [12800/46200]	Loss: 2.5096	LR: 0.027072
Training Epoch: 1 [13056/46200]	Loss: 2.5266	LR: 0.027624
Training Epoch: 1 [13312/46200]	Loss: 2.5555	LR: 0.028177
Training Epoch: 1 [13568/46200]	Loss: 2.5466	LR: 0.028729
Training Epoch: 1 [13824/46200]	Loss: 2.4982	LR: 0.029282
Training Epoch: 1 [14080/46200]	Loss: 2.5459	LR: 0.029834
Training Epoch: 1 [14336/46200]	Loss: 2.5293	LR: 0.030387
Training Epoch: 1 [14592/46200]	Loss: 2.5229	LR: 0.030939
Training Epoch: 1 [14848/46200]	Loss: 2.5958	LR: 0.031492
Training Epoch: 1 [15104/46200]	Loss: 2.5433	LR: 0.032044
Training Epoch: 1 [15360/46200]	Loss: 2.4627	LR: 0.032597
Training Epoch: 1 [15616/46200]	Loss: 2.5081	LR: 0.033149
Training Epoch: 1 [15872/46200]	Loss: 2.5992	LR: 0.033702
Training Epoch: 1 [16128/46200]	Loss: 2.5602	LR: 0.034254
Training Epoch: 1 [16384/46200]	Loss: 2.4685	LR: 0.034807
Training Epoch: 1 [16640/46200]	Loss: 2.4412	LR: 0.035359
Training Epoch: 1 [16896/46200]	Loss: 2.4539	LR: 0.035912
Training Epoch: 1 [17152/46200]	Loss: 2.4657	LR: 0.036464
Training Epoch: 1 [17408/46200]	Loss: 2.4797	LR: 0.037017
Training Epoch: 1 [17664/46200]	Loss: 2.4308	LR: 0.037569
Training Epoch: 1 [17920/46200]	Loss: 2.4328	LR: 0.038122
Training Epoch: 1 [18176/46200]	Loss: 2.4898	LR: 0.038674
Training Epoch: 1 [18432/46200]	Loss: 2.4679	LR: 0.039227
Training Epoch: 1 [18688/46200]	Loss: 2.3794	LR: 0.039779
Training Epoch: 1 [18944/46200]	Loss: 2.5581	LR: 0.040331
Training Epoch: 1 [19200/46200]	Loss: 2.5486	LR: 0.040884
Training Epoch: 1 [19456/46200]	Loss: 2.5964	LR: 0.041436
Training Epoch: 1 [19712/46200]	Loss: 2.4856	LR: 0.041989
Training Epoch: 1 [19968/46200]	Loss: 2.4541	LR: 0.042541
Training Epoch: 1 [20224/46200]	Loss: 2.4874	LR: 0.043094
Training Epoch: 1 [20480/46200]	Loss: 2.4695	LR: 0.043646
Training Epoch: 1 [20736/46200]	Loss: 2.4089	LR: 0.044199
Training Epoch: 1 [20992/46200]	Loss: 2.3760	LR: 0.044751
Training Epoch: 1 [21248/46200]	Loss: 2.3836	LR: 0.045304
Training Epoch: 1 [21504/46200]	Loss: 2.5104	LR: 0.045856
Training Epoch: 1 [21760/46200]	Loss: 2.4036	LR: 0.046409
Training Epoch: 1 [22016/46200]	Loss: 2.3601	LR: 0.046961
Training Epoch: 1 [22272/46200]	Loss: 2.4675	LR: 0.047514
Training Epoch: 1 [22528/46200]	Loss: 2.4315	LR: 0.048066
Training Epoch: 1 [22784/46200]	Loss: 2.4866	LR: 0.048619
Training Epoch: 1 [23040/46200]	Loss: 2.3956	LR: 0.049171
Training Epoch: 1 [23296/46200]	Loss: 2.4851	LR: 0.049724
Training Epoch: 1 [23552/46200]	Loss: 2.4941	LR: 0.050276
Training Epoch: 1 [23808/46200]	Loss: 2.4536	LR: 0.050829
Training Epoch: 1 [24064/46200]	Loss: 2.4559	LR: 0.051381
Training Epoch: 1 [24320/46200]	Loss: 2.6073	LR: 0.051934
Training Epoch: 1 [24576/46200]	Loss: 2.3940	LR: 0.052486
Training Epoch: 1 [24832/46200]	Loss: 2.4162	LR: 0.053039
Training Epoch: 1 [25088/46200]	Loss: 2.4300	LR: 0.053591
Training Epoch: 1 [25344/46200]	Loss: 2.3676	LR: 0.054144
Training Epoch: 1 [25600/46200]	Loss: 2.3623	LR: 0.054696
Training Epoch: 1 [25856/46200]	Loss: 2.4389	LR: 0.055249
Training Epoch: 1 [26112/46200]	Loss: 2.4968	LR: 0.055801
Training Epoch: 1 [26368/46200]	Loss: 2.5413	LR: 0.056354
Training Epoch: 1 [26624/46200]	Loss: 2.4473	LR: 0.056906
Training Epoch: 1 [26880/46200]	Loss: 2.3628	LR: 0.057459
Training Epoch: 1 [27136/46200]	Loss: 2.4711	LR: 0.058011
Training Epoch: 1 [27392/46200]	Loss: 2.4496	LR: 0.058564
Training Epoch: 1 [27648/46200]	Loss: 2.5029	LR: 0.059116
Training Epoch: 1 [27904/46200]	Loss: 2.4851	LR: 0.059669
Training Epoch: 1 [28160/46200]	Loss: 2.5732	LR: 0.060221
Training Epoch: 1 [28416/46200]	Loss: 2.3865	LR: 0.060773
Training Epoch: 1 [28672/46200]	Loss: 2.4962	LR: 0.061326
Training Epoch: 1 [28928/46200]	Loss: 2.4159	LR: 0.061878
Training Epoch: 1 [29184/46200]	Loss: 2.4522	LR: 0.062431
Training Epoch: 1 [29440/46200]	Loss: 2.4845	LR: 0.062983
Training Epoch: 1 [29696/46200]	Loss: 2.2728	LR: 0.063536
Training Epoch: 1 [29952/46200]	Loss: 2.4675	LR: 0.064088
Training Epoch: 1 [30208/46200]	Loss: 2.4148	LR: 0.064641
Training Epoch: 1 [30464/46200]	Loss: 2.3731	LR: 0.065193
Training Epoch: 1 [30720/46200]	Loss: 2.3776	LR: 0.065746
Training Epoch: 1 [30976/46200]	Loss: 2.4213	LR: 0.066298
Training Epoch: 1 [31232/46200]	Loss: 2.5324	LR: 0.066851
Training Epoch: 1 [31488/46200]	Loss: 2.4787	LR: 0.067403
Training Epoch: 1 [31744/46200]	Loss: 2.3846	LR: 0.067956
Training Epoch: 1 [32000/46200]	Loss: 2.3727	LR: 0.068508
Training Epoch: 1 [32256/46200]	Loss: 2.3283	LR: 0.069061
Training Epoch: 1 [32512/46200]	Loss: 2.4176	LR: 0.069613
Training Epoch: 1 [32768/46200]	Loss: 2.2793	LR: 0.070166
Training Epoch: 1 [33024/46200]	Loss: 2.3249	LR: 0.070718
Training Epoch: 1 [33280/46200]	Loss: 2.3333	LR: 0.071271
Training Epoch: 1 [33536/46200]	Loss: 2.4668	LR: 0.071823
Training Epoch: 1 [33792/46200]	Loss: 2.3055	LR: 0.072376
Training Epoch: 1 [34048/46200]	Loss: 2.4859	LR: 0.072928
Training Epoch: 1 [34304/46200]	Loss: 2.4396	LR: 0.073481
Training Epoch: 1 [34560/46200]	Loss: 2.2735	LR: 0.074033
Training Epoch: 1 [34816/46200]	Loss: 2.4111	LR: 0.074586
Training Epoch: 1 [35072/46200]	Loss: 2.4003	LR: 0.075138
Training Epoch: 1 [35328/46200]	Loss: 2.4387	LR: 0.075691
Training Epoch: 1 [35584/46200]	Loss: 2.3503	LR: 0.076243
Training Epoch: 1 [35840/46200]	Loss: 2.5471	LR: 0.076796
Training Epoch: 1 [36096/46200]	Loss: 2.4805	LR: 0.077348
Training Epoch: 1 [36352/46200]	Loss: 2.2883	LR: 0.077901
Training Epoch: 1 [36608/46200]	Loss: 2.4074	LR: 0.078453
Training Epoch: 1 [36864/46200]	Loss: 2.3492	LR: 0.079006
Training Epoch: 1 [37120/46200]	Loss: 2.2981	LR: 0.079558
Training Epoch: 1 [37376/46200]	Loss: 2.4726	LR: 0.080110
Training Epoch: 1 [37632/46200]	Loss: 2.3587	LR: 0.080663
Training Epoch: 1 [37888/46200]	Loss: 2.3765	LR: 0.081215
Training Epoch: 1 [38144/46200]	Loss: 2.3181	LR: 0.081768
Training Epoch: 1 [38400/46200]	Loss: 2.4122	LR: 0.082320
Training Epoch: 1 [38656/46200]	Loss: 2.2892	LR: 0.082873
Training Epoch: 1 [38912/46200]	Loss: 2.4107	LR: 0.083425
Training Epoch: 1 [39168/46200]	Loss: 2.3012	LR: 0.083978
Training Epoch: 1 [39424/46200]	Loss: 2.3286	LR: 0.084530
Training Epoch: 1 [39680/46200]	Loss: 2.4174	LR: 0.085083
Training Epoch: 1 [39936/46200]	Loss: 2.3230	LR: 0.085635
Training Epoch: 1 [40192/46200]	Loss: 2.3964	LR: 0.086188
Training Epoch: 1 [40448/46200]	Loss: 2.3575	LR: 0.086740
Training Epoch: 1 [40704/46200]	Loss: 2.4217	LR: 0.087293
Training Epoch: 1 [40960/46200]	Loss: 2.2218	LR: 0.087845
Training Epoch: 1 [41216/46200]	Loss: 2.3509	LR: 0.088398
Training Epoch: 1 [41472/46200]	Loss: 2.3574	LR: 0.088950
Training Epoch: 1 [41728/46200]	Loss: 2.3783	LR: 0.089503
Training Epoch: 1 [41984/46200]	Loss: 2.3302	LR: 0.090055
Training Epoch: 1 [42240/46200]	Loss: 2.4154	LR: 0.090608
Training Epoch: 1 [42496/46200]	Loss: 2.4438	LR: 0.091160
Training Epoch: 1 [42752/46200]	Loss: 2.3877	LR: 0.091713
Training Epoch: 1 [43008/46200]	Loss: 2.3593	LR: 0.092265
Training Epoch: 1 [43264/46200]	Loss: 2.3475	LR: 0.092818
Training Epoch: 1 [43520/46200]	Loss: 2.2534	LR: 0.093370
Training Epoch: 1 [43776/46200]	Loss: 2.2447	LR: 0.093923
Training Epoch: 1 [44032/46200]	Loss: 2.3703	LR: 0.094475
Training Epoch: 1 [44288/46200]	Loss: 2.2181	LR: 0.095028
Training Epoch: 1 [44544/46200]	Loss: 2.3353	LR: 0.095580
Training Epoch: 1 [44800/46200]	Loss: 2.3495	LR: 0.096133
Training Epoch: 1 [45056/46200]	Loss: 2.3430	LR: 0.096685
Training Epoch: 1 [45312/46200]	Loss: 2.3348	LR: 0.097238
Training Epoch: 1 [45568/46200]	Loss: 2.3281	LR: 0.097790
Training Epoch: 1 [45824/46200]	Loss: 2.3068	LR: 0.098343
Training Epoch: 1 [46080/46200]	Loss: 2.2975	LR: 0.098895
Training Epoch: 1 [46200/46200]	Loss: 2.1741	LR: 0.099448
Epoch 1 - Average Train Loss: 2.5200, Train Accuracy: 0.2228
Epoch 1 training time consumed: 26.02s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0100, Accuracy: 0.2292, Time consumed:1.02s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_19h_22m_35s/AllCNN-Cifar20-seed10-ret25-1-best.pth
Training Epoch: 2 [256/46200]	Loss: 2.3539	LR: 0.100000
Training Epoch: 2 [512/46200]	Loss: 2.3269	LR: 0.100000
Training Epoch: 2 [768/46200]	Loss: 2.1928	LR: 0.100000
Training Epoch: 2 [1024/46200]	Loss: 2.2715	LR: 0.100000
Training Epoch: 2 [1280/46200]	Loss: 2.3648	LR: 0.100000
Training Epoch: 2 [1536/46200]	Loss: 2.3000	LR: 0.100000
Training Epoch: 2 [1792/46200]	Loss: 2.2293	LR: 0.100000
Training Epoch: 2 [2048/46200]	Loss: 2.2669	LR: 0.100000
Training Epoch: 2 [2304/46200]	Loss: 2.2647	LR: 0.100000
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Epoch 2 - Average Train Loss: 2.1698, Train Accuracy: 0.3231
Epoch 2 training time consumed: 25.23s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0095, Accuracy: 0.3026, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_19h_22m_35s/AllCNN-Cifar20-seed10-ret25-2-best.pth
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Training Epoch: 3 [46200/46200]	Loss: 1.6985	LR: 0.100000
Epoch 3 - Average Train Loss: 1.9393, Train Accuracy: 0.3927
Epoch 3 training time consumed: 25.09s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0083, Accuracy: 0.3652, Time consumed:0.89s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_19h_22m_35s/AllCNN-Cifar20-seed10-ret25-3-best.pth
Training Epoch: 4 [256/46200]	Loss: 1.6854	LR: 0.100000
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Training Epoch: 4 [46200/46200]	Loss: 1.6258	LR: 0.100000
Epoch 4 - Average Train Loss: 1.7727, Train Accuracy: 0.4406
Epoch 4 training time consumed: 25.23s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0076, Accuracy: 0.4197, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_19h_22m_35s/AllCNN-Cifar20-seed10-ret25-4-best.pth
Training Epoch: 5 [256/46200]	Loss: 1.7441	LR: 0.100000
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Epoch 5 - Average Train Loss: 1.6134, Train Accuracy: 0.4881
Epoch 5 training time consumed: 25.22s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0071, Accuracy: 0.4689, Time consumed:0.88s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_19h_22m_35s/AllCNN-Cifar20-seed10-ret25-5-best.pth
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Training Epoch: 6 [46080/46200]	Loss: 1.3716	LR: 0.100000
Training Epoch: 6 [46200/46200]	Loss: 1.3846	LR: 0.100000
Epoch 6 - Average Train Loss: 1.4803, Train Accuracy: 0.5271
Epoch 6 training time consumed: 25.19s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0066, Accuracy: 0.5011, Time consumed:0.88s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_19h_22m_35s/AllCNN-Cifar20-seed10-ret25-6-best.pth
Training Epoch: 7 [256/46200]	Loss: 1.3738	LR: 0.100000
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Training Epoch: 7 [46200/46200]	Loss: 1.2907	LR: 0.100000
Epoch 7 - Average Train Loss: 1.3793, Train Accuracy: 0.5607
Epoch 7 training time consumed: 25.12s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0069, Accuracy: 0.5005, Time consumed:0.89s
Training Epoch: 8 [256/46200]	Loss: 1.2226	LR: 0.100000
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Training Epoch: 8 [46200/46200]	Loss: 1.4914	LR: 0.100000
Epoch 8 - Average Train Loss: 1.2921, Train Accuracy: 0.5864
Epoch 8 training time consumed: 25.32s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0072, Accuracy: 0.4891, Time consumed:0.90s
Training Epoch: 9 [256/46200]	Loss: 1.2359	LR: 0.100000
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Training Epoch: 9 [46200/46200]	Loss: 1.1322	LR: 0.100000
Epoch 9 - Average Train Loss: 1.2196, Train Accuracy: 0.6096
Epoch 9 training time consumed: 25.29s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0060, Accuracy: 0.5532, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_19h_22m_35s/AllCNN-Cifar20-seed10-ret25-9-best.pth
Training Epoch: 10 [256/46200]	Loss: 1.2803	LR: 0.100000
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Epoch 10 - Average Train Loss: 1.1569, Train Accuracy: 0.6285
Epoch 10 training time consumed: 25.09s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0059, Accuracy: 0.5679, Time consumed:0.86s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_19h_22m_35s/AllCNN-Cifar20-seed10-ret25-10-best.pth
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Training Epoch: 11 [44544/46200]	Loss: 0.9539	LR: 0.100000
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Training Epoch: 11 [46080/46200]	Loss: 1.2522	LR: 0.100000
Training Epoch: 11 [46200/46200]	Loss: 0.9912	LR: 0.100000
Epoch 11 - Average Train Loss: 1.1164, Train Accuracy: 0.6407
Epoch 11 training time consumed: 25.12s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0048, Accuracy: 0.6222, Time consumed:0.87s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_19h_22m_35s/AllCNN-Cifar20-seed10-ret25-11-best.pth
Training Epoch: 12 [256/46200]	Loss: 0.9298	LR: 0.100000
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Training Epoch: 12 [44032/46200]	Loss: 0.9928	LR: 0.100000
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Training Epoch: 12 [44800/46200]	Loss: 1.0797	LR: 0.100000
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Training Epoch: 12 [46200/46200]	Loss: 1.1529	LR: 0.100000
Epoch 12 - Average Train Loss: 1.0772, Train Accuracy: 0.6548
Epoch 12 training time consumed: 25.07s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0061, Accuracy: 0.5495, Time consumed:0.97s
Training Epoch: 13 [256/46200]	Loss: 1.0475	LR: 0.100000
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Training Epoch: 13 [46200/46200]	Loss: 1.0579	LR: 0.100000
Epoch 13 - Average Train Loss: 1.0435, Train Accuracy: 0.6662
Epoch 13 training time consumed: 25.26s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0047, Accuracy: 0.6322, Time consumed:0.88s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_19h_22m_35s/AllCNN-Cifar20-seed10-ret25-13-best.pth
Training Epoch: 14 [256/46200]	Loss: 1.0209	LR: 0.100000
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Training Epoch: 14 [46200/46200]	Loss: 1.1766	LR: 0.100000
Epoch 14 - Average Train Loss: 1.0173, Train Accuracy: 0.6735
Epoch 14 training time consumed: 25.18s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0060, Accuracy: 0.5760, Time consumed:0.90s
Training Epoch: 15 [256/46200]	Loss: 0.9558	LR: 0.020000
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Training Epoch: 15 [46200/46200]	Loss: 0.7551	LR: 0.020000
Epoch 15 - Average Train Loss: 0.7793, Train Accuracy: 0.7510
Epoch 15 training time consumed: 25.01s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0034, Accuracy: 0.7328, Time consumed:1.00s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_19h_22m_35s/AllCNN-Cifar20-seed10-ret25-15-best.pth
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Training Epoch: 16 [46200/46200]	Loss: 0.5736	LR: 0.020000
Epoch 16 - Average Train Loss: 0.7086, Train Accuracy: 0.7740
Epoch 16 training time consumed: 25.23s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0034, Accuracy: 0.7311, Time consumed:0.85s
Training Epoch: 17 [256/46200]	Loss: 0.6040	LR: 0.020000
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Training Epoch: 17 [46200/46200]	Loss: 0.6347	LR: 0.020000
Epoch 17 - Average Train Loss: 0.6692, Train Accuracy: 0.7860
Epoch 17 training time consumed: 24.98s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0034, Accuracy: 0.7347, Time consumed:0.89s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_19h_22m_35s/AllCNN-Cifar20-seed10-ret25-17-best.pth
Training Epoch: 18 [256/46200]	Loss: 0.6039	LR: 0.020000
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Training Epoch: 18 [46200/46200]	Loss: 0.7020	LR: 0.020000
Epoch 18 - Average Train Loss: 0.6447, Train Accuracy: 0.7934
Epoch 18 training time consumed: 25.19s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0034, Accuracy: 0.7363, Time consumed:0.86s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_19h_22m_35s/AllCNN-Cifar20-seed10-ret25-18-best.pth
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Training Epoch: 19 [46080/46200]	Loss: 0.6019	LR: 0.020000
Training Epoch: 19 [46200/46200]	Loss: 0.6877	LR: 0.020000
Epoch 19 - Average Train Loss: 0.6298, Train Accuracy: 0.7980
Epoch 19 training time consumed: 25.51s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0034, Accuracy: 0.7380, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_19h_22m_35s/AllCNN-Cifar20-seed10-ret25-19-best.pth
Training Epoch: 20 [256/46200]	Loss: 0.5621	LR: 0.020000
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Training Epoch: 20 [46200/46200]	Loss: 0.6205	LR: 0.020000
Epoch 20 - Average Train Loss: 0.6090, Train Accuracy: 0.8053
Epoch 20 training time consumed: 25.01s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0035, Accuracy: 0.7331, Time consumed:0.85s
Training Epoch: 21 [256/46200]	Loss: 0.5975	LR: 0.020000
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Training Epoch: 21 [16896/46200]	Loss: 0.5752	LR: 0.020000
Training Epoch: 21 [17152/46200]	Loss: 0.6726	LR: 0.020000
Training Epoch: 21 [17408/46200]	Loss: 0.5019	LR: 0.020000
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Training Epoch: 21 [17920/46200]	Loss: 0.5908	LR: 0.020000
Training Epoch: 21 [18176/46200]	Loss: 0.7132	LR: 0.020000
Training Epoch: 21 [18432/46200]	Loss: 0.5713	LR: 0.020000
Training Epoch: 21 [18688/46200]	Loss: 0.5519	LR: 0.020000
Training Epoch: 21 [18944/46200]	Loss: 0.7417	LR: 0.020000
Training Epoch: 21 [19200/46200]	Loss: 0.5053	LR: 0.020000
Training Epoch: 21 [19456/46200]	Loss: 0.6448	LR: 0.020000
Training Epoch: 21 [19712/46200]	Loss: 0.5483	LR: 0.020000
Training Epoch: 21 [19968/46200]	Loss: 0.5930	LR: 0.020000
Training Epoch: 21 [20224/46200]	Loss: 0.6427	LR: 0.020000
Training Epoch: 21 [20480/46200]	Loss: 0.6286	LR: 0.020000
Training Epoch: 21 [20736/46200]	Loss: 0.5488	LR: 0.020000
Training Epoch: 21 [20992/46200]	Loss: 0.5287	LR: 0.020000
Training Epoch: 21 [21248/46200]	Loss: 0.5340	LR: 0.020000
Training Epoch: 21 [21504/46200]	Loss: 0.5869	LR: 0.020000
Training Epoch: 21 [21760/46200]	Loss: 0.5734	LR: 0.020000
Training Epoch: 21 [22016/46200]	Loss: 0.5580	LR: 0.020000
Training Epoch: 21 [22272/46200]	Loss: 0.6352	LR: 0.020000
Training Epoch: 21 [22528/46200]	Loss: 0.5956	LR: 0.020000
Training Epoch: 21 [22784/46200]	Loss: 0.6314	LR: 0.020000
Training Epoch: 21 [23040/46200]	Loss: 0.5940	LR: 0.020000
Training Epoch: 21 [23296/46200]	Loss: 0.6488	LR: 0.020000
Training Epoch: 21 [23552/46200]	Loss: 0.6156	LR: 0.020000
Training Epoch: 21 [23808/46200]	Loss: 0.6550	LR: 0.020000
Training Epoch: 21 [24064/46200]	Loss: 0.6185	LR: 0.020000
Training Epoch: 21 [24320/46200]	Loss: 0.5192	LR: 0.020000
Training Epoch: 21 [24576/46200]	Loss: 0.6408	LR: 0.020000
Training Epoch: 21 [24832/46200]	Loss: 0.5376	LR: 0.020000
Training Epoch: 21 [25088/46200]	Loss: 0.5693	LR: 0.020000
Training Epoch: 21 [25344/46200]	Loss: 0.5379	LR: 0.020000
Training Epoch: 21 [25600/46200]	Loss: 0.6564	LR: 0.020000
Training Epoch: 21 [25856/46200]	Loss: 0.7384	LR: 0.020000
Training Epoch: 21 [26112/46200]	Loss: 0.6256	LR: 0.020000
Training Epoch: 21 [26368/46200]	Loss: 0.6542	LR: 0.020000
Training Epoch: 21 [26624/46200]	Loss: 0.5498	LR: 0.020000
Training Epoch: 21 [26880/46200]	Loss: 0.6097	LR: 0.020000
Training Epoch: 21 [27136/46200]	Loss: 0.5731	LR: 0.020000
Training Epoch: 21 [27392/46200]	Loss: 0.5650	LR: 0.020000
Training Epoch: 21 [27648/46200]	Loss: 0.6124	LR: 0.020000
Training Epoch: 21 [27904/46200]	Loss: 0.5180	LR: 0.020000
Training Epoch: 21 [28160/46200]	Loss: 0.6158	LR: 0.020000
Training Epoch: 21 [28416/46200]	Loss: 0.4981	LR: 0.020000
Training Epoch: 21 [28672/46200]	Loss: 0.6500	LR: 0.020000
Training Epoch: 21 [28928/46200]	Loss: 0.6283	LR: 0.020000
Training Epoch: 21 [29184/46200]	Loss: 0.5717	LR: 0.020000
Training Epoch: 21 [29440/46200]	Loss: 0.5472	LR: 0.020000
Training Epoch: 21 [29696/46200]	Loss: 0.6478	LR: 0.020000
Training Epoch: 21 [29952/46200]	Loss: 0.5514	LR: 0.020000
Training Epoch: 21 [30208/46200]	Loss: 0.7042	LR: 0.020000
Training Epoch: 21 [30464/46200]	Loss: 0.6957	LR: 0.020000
Training Epoch: 21 [30720/46200]	Loss: 0.6253	LR: 0.020000
Training Epoch: 21 [30976/46200]	Loss: 0.6525	LR: 0.020000
Training Epoch: 21 [31232/46200]	Loss: 0.6522	LR: 0.020000
Training Epoch: 21 [31488/46200]	Loss: 0.5847	LR: 0.020000
Training Epoch: 21 [31744/46200]	Loss: 0.7119	LR: 0.020000
Training Epoch: 21 [32000/46200]	Loss: 0.6630	LR: 0.020000
Training Epoch: 21 [32256/46200]	Loss: 0.5405	LR: 0.020000
Training Epoch: 21 [32512/46200]	Loss: 0.6554	LR: 0.020000
Training Epoch: 21 [32768/46200]	Loss: 0.6247	LR: 0.020000
Training Epoch: 21 [33024/46200]	Loss: 0.5859	LR: 0.020000
Training Epoch: 21 [33280/46200]	Loss: 0.7722	LR: 0.020000
Training Epoch: 21 [33536/46200]	Loss: 0.6832	LR: 0.020000
Training Epoch: 21 [33792/46200]	Loss: 0.5873	LR: 0.020000
Training Epoch: 21 [34048/46200]	Loss: 0.6026	LR: 0.020000
Training Epoch: 21 [34304/46200]	Loss: 0.6684	LR: 0.020000
Training Epoch: 21 [34560/46200]	Loss: 0.6584	LR: 0.020000
Training Epoch: 21 [34816/46200]	Loss: 0.6326	LR: 0.020000
Training Epoch: 21 [35072/46200]	Loss: 0.6331	LR: 0.020000
Training Epoch: 21 [35328/46200]	Loss: 0.6706	LR: 0.020000
Training Epoch: 21 [35584/46200]	Loss: 0.5455	LR: 0.020000
Training Epoch: 21 [35840/46200]	Loss: 0.6386	LR: 0.020000
Training Epoch: 21 [36096/46200]	Loss: 0.6206	LR: 0.020000
Training Epoch: 21 [36352/46200]	Loss: 0.5748	LR: 0.020000
Training Epoch: 21 [36608/46200]	Loss: 0.5969	LR: 0.020000
Training Epoch: 21 [36864/46200]	Loss: 0.5958	LR: 0.020000
Training Epoch: 21 [37120/46200]	Loss: 0.5732	LR: 0.020000
Training Epoch: 21 [37376/46200]	Loss: 0.6767	LR: 0.020000
Training Epoch: 21 [37632/46200]	Loss: 0.5671	LR: 0.020000
Training Epoch: 21 [37888/46200]	Loss: 0.7139	LR: 0.020000
Training Epoch: 21 [38144/46200]	Loss: 0.7140	LR: 0.020000
Training Epoch: 21 [38400/46200]	Loss: 0.7453	LR: 0.020000
Training Epoch: 21 [38656/46200]	Loss: 0.6291	LR: 0.020000
Training Epoch: 21 [38912/46200]	Loss: 0.6384	LR: 0.020000
Training Epoch: 21 [39168/46200]	Loss: 0.5760	LR: 0.020000
Training Epoch: 21 [39424/46200]	Loss: 0.6176	LR: 0.020000
Training Epoch: 21 [39680/46200]	Loss: 0.5892	LR: 0.020000
Training Epoch: 21 [39936/46200]	Loss: 0.6312	LR: 0.020000
Training Epoch: 21 [40192/46200]	Loss: 0.5808	LR: 0.020000
Training Epoch: 21 [40448/46200]	Loss: 0.5985	LR: 0.020000
Training Epoch: 21 [40704/46200]	Loss: 0.5432	LR: 0.020000
Training Epoch: 21 [40960/46200]	Loss: 0.7506	LR: 0.020000
Training Epoch: 21 [41216/46200]	Loss: 0.5936	LR: 0.020000
Training Epoch: 21 [41472/46200]	Loss: 0.5902	LR: 0.020000
Training Epoch: 21 [41728/46200]	Loss: 0.5744	LR: 0.020000
Training Epoch: 21 [41984/46200]	Loss: 0.5087	LR: 0.020000
Training Epoch: 21 [42240/46200]	Loss: 0.5972	LR: 0.020000
Training Epoch: 21 [42496/46200]	Loss: 0.6110	LR: 0.020000
Training Epoch: 21 [42752/46200]	Loss: 0.6136	LR: 0.020000
Training Epoch: 21 [43008/46200]	Loss: 0.6093	LR: 0.020000
Training Epoch: 21 [43264/46200]	Loss: 0.5893	LR: 0.020000
Training Epoch: 21 [43520/46200]	Loss: 0.6277	LR: 0.020000
Training Epoch: 21 [43776/46200]	Loss: 0.6103	LR: 0.020000
Training Epoch: 21 [44032/46200]	Loss: 0.6747	LR: 0.020000
Training Epoch: 21 [44288/46200]	Loss: 0.6162	LR: 0.020000
Training Epoch: 21 [44544/46200]	Loss: 0.6161	LR: 0.020000
Training Epoch: 21 [44800/46200]	Loss: 0.6167	LR: 0.020000
Training Epoch: 21 [45056/46200]	Loss: 0.6401	LR: 0.020000
Training Epoch: 21 [45312/46200]	Loss: 0.5789	LR: 0.020000
Training Epoch: 21 [45568/46200]	Loss: 0.6321	LR: 0.020000
Training Epoch: 21 [45824/46200]	Loss: 0.6471	LR: 0.020000
Training Epoch: 21 [46080/46200]	Loss: 0.6899	LR: 0.020000
Training Epoch: 21 [46200/46200]	Loss: 0.5720	LR: 0.020000
Epoch 21 - Average Train Loss: 0.5949, Train Accuracy: 0.8074
Epoch 21 training time consumed: 25.24s
Evaluating Network.....
Test set: Epoch: 21, Average loss: 0.0034, Accuracy: 0.7380, Time consumed:0.94s
Training Epoch: 22 [256/46200]	Loss: 0.5433	LR: 0.020000
Training Epoch: 22 [512/46200]	Loss: 0.4869	LR: 0.020000
Training Epoch: 22 [768/46200]	Loss: 0.5640	LR: 0.020000
Training Epoch: 22 [1024/46200]	Loss: 0.5924	LR: 0.020000
Training Epoch: 22 [1280/46200]	Loss: 0.5749	LR: 0.020000
Training Epoch: 22 [1536/46200]	Loss: 0.5599	LR: 0.020000
Training Epoch: 22 [1792/46200]	Loss: 0.5203	LR: 0.020000
Training Epoch: 22 [2048/46200]	Loss: 0.5712	LR: 0.020000
Training Epoch: 22 [2304/46200]	Loss: 0.5130	LR: 0.020000
Training Epoch: 22 [2560/46200]	Loss: 0.6451	LR: 0.020000
Training Epoch: 22 [2816/46200]	Loss: 0.4481	LR: 0.020000
Training Epoch: 22 [3072/46200]	Loss: 0.5786	LR: 0.020000
Training Epoch: 22 [3328/46200]	Loss: 0.6042	LR: 0.020000
Training Epoch: 22 [3584/46200]	Loss: 0.5339	LR: 0.020000
Training Epoch: 22 [3840/46200]	Loss: 0.6396	LR: 0.020000
Training Epoch: 22 [4096/46200]	Loss: 0.5057	LR: 0.020000
Training Epoch: 22 [4352/46200]	Loss: 0.5663	LR: 0.020000
Training Epoch: 22 [4608/46200]	Loss: 0.4551	LR: 0.020000
Training Epoch: 22 [4864/46200]	Loss: 0.5517	LR: 0.020000
Training Epoch: 22 [5120/46200]	Loss: 0.5706	LR: 0.020000
Training Epoch: 22 [5376/46200]	Loss: 0.4945	LR: 0.020000
Training Epoch: 22 [5632/46200]	Loss: 0.5376	LR: 0.020000
Training Epoch: 22 [5888/46200]	Loss: 0.5287	LR: 0.020000
Training Epoch: 22 [6144/46200]	Loss: 0.5614	LR: 0.020000
Training Epoch: 22 [6400/46200]	Loss: 0.6317	LR: 0.020000
Training Epoch: 22 [6656/46200]	Loss: 0.5768	LR: 0.020000
Training Epoch: 22 [6912/46200]	Loss: 0.5797	LR: 0.020000
Training Epoch: 22 [7168/46200]	Loss: 0.5598	LR: 0.020000
Training Epoch: 22 [7424/46200]	Loss: 0.5918	LR: 0.020000
Training Epoch: 22 [7680/46200]	Loss: 0.5074	LR: 0.020000
Training Epoch: 22 [7936/46200]	Loss: 0.6158	LR: 0.020000
Training Epoch: 22 [8192/46200]	Loss: 0.5999	LR: 0.020000
Training Epoch: 22 [8448/46200]	Loss: 0.5492	LR: 0.020000
Training Epoch: 22 [8704/46200]	Loss: 0.5093	LR: 0.020000
Training Epoch: 22 [8960/46200]	Loss: 0.5628	LR: 0.020000
Training Epoch: 22 [9216/46200]	Loss: 0.6624	LR: 0.020000
Training Epoch: 22 [9472/46200]	Loss: 0.4603	LR: 0.020000
Training Epoch: 22 [9728/46200]	Loss: 0.4873	LR: 0.020000
Training Epoch: 22 [9984/46200]	Loss: 0.5661	LR: 0.020000
Training Epoch: 22 [10240/46200]	Loss: 0.6781	LR: 0.020000
Training Epoch: 22 [10496/46200]	Loss: 0.5242	LR: 0.020000
Training Epoch: 22 [10752/46200]	Loss: 0.7319	LR: 0.020000
Training Epoch: 22 [11008/46200]	Loss: 0.5817	LR: 0.020000
Training Epoch: 22 [11264/46200]	Loss: 0.5714	LR: 0.020000
Training Epoch: 22 [11520/46200]	Loss: 0.5190	LR: 0.020000
Training Epoch: 22 [11776/46200]	Loss: 0.5345	LR: 0.020000
Training Epoch: 22 [12032/46200]	Loss: 0.4604	LR: 0.020000
Training Epoch: 22 [12288/46200]	Loss: 0.6413	LR: 0.020000
Training Epoch: 22 [12544/46200]	Loss: 0.5618	LR: 0.020000
Training Epoch: 22 [12800/46200]	Loss: 0.5983	LR: 0.020000
Training Epoch: 22 [13056/46200]	Loss: 0.4693	LR: 0.020000
Training Epoch: 22 [13312/46200]	Loss: 0.5159	LR: 0.020000
Training Epoch: 22 [13568/46200]	Loss: 0.6933	LR: 0.020000
Training Epoch: 22 [13824/46200]	Loss: 0.5975	LR: 0.020000
Training Epoch: 22 [14080/46200]	Loss: 0.5814	LR: 0.020000
Training Epoch: 22 [14336/46200]	Loss: 0.5352	LR: 0.020000
Training Epoch: 22 [14592/46200]	Loss: 0.5559	LR: 0.020000
Training Epoch: 22 [14848/46200]	Loss: 0.6277	LR: 0.020000
Training Epoch: 22 [15104/46200]	Loss: 0.4980	LR: 0.020000
Training Epoch: 22 [15360/46200]	Loss: 0.5767	LR: 0.020000
Training Epoch: 22 [15616/46200]	Loss: 0.5035	LR: 0.020000
Training Epoch: 22 [15872/46200]	Loss: 0.5603	LR: 0.020000
Training Epoch: 22 [16128/46200]	Loss: 0.5477	LR: 0.020000
Training Epoch: 22 [16384/46200]	Loss: 0.5214	LR: 0.020000
Training Epoch: 22 [16640/46200]	Loss: 0.5788	LR: 0.020000
Training Epoch: 22 [16896/46200]	Loss: 0.4672	LR: 0.020000
Training Epoch: 22 [17152/46200]	Loss: 0.5440	LR: 0.020000
Training Epoch: 22 [17408/46200]	Loss: 0.5575	LR: 0.020000
Training Epoch: 22 [17664/46200]	Loss: 0.5190	LR: 0.020000
Training Epoch: 22 [17920/46200]	Loss: 0.5188	LR: 0.020000
Training Epoch: 22 [18176/46200]	Loss: 0.5609	LR: 0.020000
Training Epoch: 22 [18432/46200]	Loss: 0.4844	LR: 0.020000
Training Epoch: 22 [18688/46200]	Loss: 0.6300	LR: 0.020000
Training Epoch: 22 [18944/46200]	Loss: 0.5354	LR: 0.020000
Training Epoch: 22 [19200/46200]	Loss: 0.4388	LR: 0.020000
Training Epoch: 22 [19456/46200]	Loss: 0.4890	LR: 0.020000
Training Epoch: 22 [19712/46200]	Loss: 0.6104	LR: 0.020000
Training Epoch: 22 [19968/46200]	Loss: 0.6057	LR: 0.020000
Training Epoch: 22 [20224/46200]	Loss: 0.7138	LR: 0.020000
Training Epoch: 22 [20480/46200]	Loss: 0.5591	LR: 0.020000
Training Epoch: 22 [20736/46200]	Loss: 0.6450	LR: 0.020000
Training Epoch: 22 [20992/46200]	Loss: 0.5792	LR: 0.020000
Training Epoch: 22 [21248/46200]	Loss: 0.6523	LR: 0.020000
Training Epoch: 22 [21504/46200]	Loss: 0.5605	LR: 0.020000
Training Epoch: 22 [21760/46200]	Loss: 0.4956	LR: 0.020000
Training Epoch: 22 [22016/46200]	Loss: 0.5267	LR: 0.020000
Training Epoch: 22 [22272/46200]	Loss: 0.6217	LR: 0.020000
Training Epoch: 22 [22528/46200]	Loss: 0.7334	LR: 0.020000
Training Epoch: 22 [22784/46200]	Loss: 0.5828	LR: 0.020000
Training Epoch: 22 [23040/46200]	Loss: 0.5872	LR: 0.020000
Training Epoch: 22 [23296/46200]	Loss: 0.5703	LR: 0.020000
Training Epoch: 22 [23552/46200]	Loss: 0.6188	LR: 0.020000
Training Epoch: 22 [23808/46200]	Loss: 0.5914	LR: 0.020000
Training Epoch: 22 [24064/46200]	Loss: 0.4865	LR: 0.020000
Training Epoch: 22 [24320/46200]	Loss: 0.6773	LR: 0.020000
Training Epoch: 22 [24576/46200]	Loss: 0.5465	LR: 0.020000
Training Epoch: 22 [24832/46200]	Loss: 0.5441	LR: 0.020000
Training Epoch: 22 [25088/46200]	Loss: 0.5838	LR: 0.020000
Training Epoch: 22 [25344/46200]	Loss: 0.7050	LR: 0.020000
Training Epoch: 22 [25600/46200]	Loss: 0.5452	LR: 0.020000
Training Epoch: 22 [25856/46200]	Loss: 0.5268	LR: 0.020000
Training Epoch: 22 [26112/46200]	Loss: 0.5827	LR: 0.020000
Training Epoch: 22 [26368/46200]	Loss: 0.5358	LR: 0.020000
Training Epoch: 22 [26624/46200]	Loss: 0.5521	LR: 0.020000
Training Epoch: 22 [26880/46200]	Loss: 0.6551	LR: 0.020000
Training Epoch: 22 [27136/46200]	Loss: 0.6829	LR: 0.020000
Training Epoch: 22 [27392/46200]	Loss: 0.6409	LR: 0.020000
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Training Epoch: 22 [27904/46200]	Loss: 0.6219	LR: 0.020000
Training Epoch: 22 [28160/46200]	Loss: 0.5901	LR: 0.020000
Training Epoch: 22 [28416/46200]	Loss: 0.6618	LR: 0.020000
Training Epoch: 22 [28672/46200]	Loss: 0.6353	LR: 0.020000
Training Epoch: 22 [28928/46200]	Loss: 0.5863	LR: 0.020000
Training Epoch: 22 [29184/46200]	Loss: 0.6775	LR: 0.020000
Training Epoch: 22 [29440/46200]	Loss: 0.5428	LR: 0.020000
Training Epoch: 22 [29696/46200]	Loss: 0.5193	LR: 0.020000
Training Epoch: 22 [29952/46200]	Loss: 0.4827	LR: 0.020000
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Training Epoch: 22 [30464/46200]	Loss: 0.6028	LR: 0.020000
Training Epoch: 22 [30720/46200]	Loss: 0.5736	LR: 0.020000
Training Epoch: 22 [30976/46200]	Loss: 0.5710	LR: 0.020000
Training Epoch: 22 [31232/46200]	Loss: 0.6315	LR: 0.020000
Training Epoch: 22 [31488/46200]	Loss: 0.5891	LR: 0.020000
Training Epoch: 22 [31744/46200]	Loss: 0.6686	LR: 0.020000
Training Epoch: 22 [32000/46200]	Loss: 0.5608	LR: 0.020000
Training Epoch: 22 [32256/46200]	Loss: 0.7117	LR: 0.020000
Training Epoch: 22 [32512/46200]	Loss: 0.4973	LR: 0.020000
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Training Epoch: 22 [33024/46200]	Loss: 0.5345	LR: 0.020000
Training Epoch: 22 [33280/46200]	Loss: 0.6170	LR: 0.020000
Training Epoch: 22 [33536/46200]	Loss: 0.6006	LR: 0.020000
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Training Epoch: 22 [34560/46200]	Loss: 0.7191	LR: 0.020000
Training Epoch: 22 [34816/46200]	Loss: 0.5723	LR: 0.020000
Training Epoch: 22 [35072/46200]	Loss: 0.6849	LR: 0.020000
Training Epoch: 22 [35328/46200]	Loss: 0.5359	LR: 0.020000
Training Epoch: 22 [35584/46200]	Loss: 0.5993	LR: 0.020000
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Training Epoch: 22 [36096/46200]	Loss: 0.5172	LR: 0.020000
Training Epoch: 22 [36352/46200]	Loss: 0.6178	LR: 0.020000
Training Epoch: 22 [36608/46200]	Loss: 0.6093	LR: 0.020000
Training Epoch: 22 [36864/46200]	Loss: 0.6421	LR: 0.020000
Training Epoch: 22 [37120/46200]	Loss: 0.5151	LR: 0.020000
Training Epoch: 22 [37376/46200]	Loss: 0.5813	LR: 0.020000
Training Epoch: 22 [37632/46200]	Loss: 0.6875	LR: 0.020000
Training Epoch: 22 [37888/46200]	Loss: 0.5649	LR: 0.020000
Training Epoch: 22 [38144/46200]	Loss: 0.5917	LR: 0.020000
Training Epoch: 22 [38400/46200]	Loss: 0.6593	LR: 0.020000
Training Epoch: 22 [38656/46200]	Loss: 0.6517	LR: 0.020000
Training Epoch: 22 [38912/46200]	Loss: 0.5930	LR: 0.020000
Training Epoch: 22 [39168/46200]	Loss: 0.5985	LR: 0.020000
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Training Epoch: 22 [39936/46200]	Loss: 0.6094	LR: 0.020000
Training Epoch: 22 [40192/46200]	Loss: 0.6497	LR: 0.020000
Training Epoch: 22 [40448/46200]	Loss: 0.6509	LR: 0.020000
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Training Epoch: 22 [41216/46200]	Loss: 0.6532	LR: 0.020000
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Training Epoch: 22 [43776/46200]	Loss: 0.6023	LR: 0.020000
Training Epoch: 22 [44032/46200]	Loss: 0.6394	LR: 0.020000
Training Epoch: 22 [44288/46200]	Loss: 0.6406	LR: 0.020000
Training Epoch: 22 [44544/46200]	Loss: 0.6751	LR: 0.020000
Training Epoch: 22 [44800/46200]	Loss: 0.6340	LR: 0.020000
Training Epoch: 22 [45056/46200]	Loss: 0.5882	LR: 0.020000
Training Epoch: 22 [45312/46200]	Loss: 0.6274	LR: 0.020000
Training Epoch: 22 [45568/46200]	Loss: 0.6436	LR: 0.020000
Training Epoch: 22 [45824/46200]	Loss: 0.5292	LR: 0.020000
Training Epoch: 22 [46080/46200]	Loss: 0.5513	LR: 0.020000
Training Epoch: 22 [46200/46200]	Loss: 0.6981	LR: 0.020000
Epoch 22 - Average Train Loss: 0.5820, Train Accuracy: 0.8121
Epoch 22 training time consumed: 25.07s
Evaluating Network.....
Test set: Epoch: 22, Average loss: 0.0036, Accuracy: 0.7288, Time consumed:0.87s
Training Epoch: 23 [256/46200]	Loss: 0.5239	LR: 0.020000
Training Epoch: 23 [512/46200]	Loss: 0.4842	LR: 0.020000
Training Epoch: 23 [768/46200]	Loss: 0.5599	LR: 0.020000
Training Epoch: 23 [1024/46200]	Loss: 0.5666	LR: 0.020000
Training Epoch: 23 [1280/46200]	Loss: 0.5725	LR: 0.020000
Training Epoch: 23 [1536/46200]	Loss: 0.5234	LR: 0.020000
Training Epoch: 23 [1792/46200]	Loss: 0.5929	LR: 0.020000
Training Epoch: 23 [2048/46200]	Loss: 0.5828	LR: 0.020000
Training Epoch: 23 [2304/46200]	Loss: 0.5418	LR: 0.020000
Training Epoch: 23 [2560/46200]	Loss: 0.5863	LR: 0.020000
Training Epoch: 23 [2816/46200]	Loss: 0.6367	LR: 0.020000
Training Epoch: 23 [3072/46200]	Loss: 0.4855	LR: 0.020000
Training Epoch: 23 [3328/46200]	Loss: 0.5935	LR: 0.020000
Training Epoch: 23 [3584/46200]	Loss: 0.4736	LR: 0.020000
Training Epoch: 23 [3840/46200]	Loss: 0.5217	LR: 0.020000
Training Epoch: 23 [4096/46200]	Loss: 0.5248	LR: 0.020000
Training Epoch: 23 [4352/46200]	Loss: 0.6192	LR: 0.020000
Training Epoch: 23 [4608/46200]	Loss: 0.5451	LR: 0.020000
Training Epoch: 23 [4864/46200]	Loss: 0.5406	LR: 0.020000
Training Epoch: 23 [5120/46200]	Loss: 0.6004	LR: 0.020000
Training Epoch: 23 [5376/46200]	Loss: 0.5575	LR: 0.020000
Training Epoch: 23 [5632/46200]	Loss: 0.6272	LR: 0.020000
Training Epoch: 23 [5888/46200]	Loss: 0.6256	LR: 0.020000
Training Epoch: 23 [6144/46200]	Loss: 0.5490	LR: 0.020000
Training Epoch: 23 [6400/46200]	Loss: 0.6018	LR: 0.020000
Training Epoch: 23 [6656/46200]	Loss: 0.5530	LR: 0.020000
Training Epoch: 23 [6912/46200]	Loss: 0.5742	LR: 0.020000
Training Epoch: 23 [7168/46200]	Loss: 0.5200	LR: 0.020000
Training Epoch: 23 [7424/46200]	Loss: 0.5866	LR: 0.020000
Training Epoch: 23 [7680/46200]	Loss: 0.5541	LR: 0.020000
Training Epoch: 23 [7936/46200]	Loss: 0.5829	LR: 0.020000
Training Epoch: 23 [8192/46200]	Loss: 0.5577	LR: 0.020000
Training Epoch: 23 [8448/46200]	Loss: 0.4634	LR: 0.020000
Training Epoch: 23 [8704/46200]	Loss: 0.5688	LR: 0.020000
Training Epoch: 23 [8960/46200]	Loss: 0.5486	LR: 0.020000
Training Epoch: 23 [9216/46200]	Loss: 0.6284	LR: 0.020000
Training Epoch: 23 [9472/46200]	Loss: 0.5733	LR: 0.020000
Training Epoch: 23 [9728/46200]	Loss: 0.4470	LR: 0.020000
Training Epoch: 23 [9984/46200]	Loss: 0.4927	LR: 0.020000
Training Epoch: 23 [10240/46200]	Loss: 0.4955	LR: 0.020000
Training Epoch: 23 [10496/46200]	Loss: 0.5149	LR: 0.020000
Training Epoch: 23 [10752/46200]	Loss: 0.5752	LR: 0.020000
Training Epoch: 23 [11008/46200]	Loss: 0.5457	LR: 0.020000
Training Epoch: 23 [11264/46200]	Loss: 0.5309	LR: 0.020000
Training Epoch: 23 [11520/46200]	Loss: 0.4880	LR: 0.020000
Training Epoch: 23 [11776/46200]	Loss: 0.6224	LR: 0.020000
Training Epoch: 23 [12032/46200]	Loss: 0.5770	LR: 0.020000
Training Epoch: 23 [12288/46200]	Loss: 0.5155	LR: 0.020000
Training Epoch: 23 [12544/46200]	Loss: 0.6021	LR: 0.020000
Training Epoch: 23 [12800/46200]	Loss: 0.6141	LR: 0.020000
Training Epoch: 23 [13056/46200]	Loss: 0.6179	LR: 0.020000
Training Epoch: 23 [13312/46200]	Loss: 0.5123	LR: 0.020000
Training Epoch: 23 [13568/46200]	Loss: 0.4599	LR: 0.020000
Training Epoch: 23 [13824/46200]	Loss: 0.4926	LR: 0.020000
Training Epoch: 23 [14080/46200]	Loss: 0.4851	LR: 0.020000
Training Epoch: 23 [14336/46200]	Loss: 0.5571	LR: 0.020000
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Training Epoch: 23 [14848/46200]	Loss: 0.6697	LR: 0.020000
Training Epoch: 23 [15104/46200]	Loss: 0.5520	LR: 0.020000
Training Epoch: 23 [15360/46200]	Loss: 0.6677	LR: 0.020000
Training Epoch: 23 [15616/46200]	Loss: 0.5800	LR: 0.020000
Training Epoch: 23 [15872/46200]	Loss: 0.6853	LR: 0.020000
Training Epoch: 23 [16128/46200]	Loss: 0.5572	LR: 0.020000
Training Epoch: 23 [16384/46200]	Loss: 0.4415	LR: 0.020000
Training Epoch: 23 [16640/46200]	Loss: 0.6231	LR: 0.020000
Training Epoch: 23 [16896/46200]	Loss: 0.5496	LR: 0.020000
Training Epoch: 23 [17152/46200]	Loss: 0.5812	LR: 0.020000
Training Epoch: 23 [17408/46200]	Loss: 0.5842	LR: 0.020000
Training Epoch: 23 [17664/46200]	Loss: 0.4881	LR: 0.020000
Training Epoch: 23 [17920/46200]	Loss: 0.5443	LR: 0.020000
Training Epoch: 23 [18176/46200]	Loss: 0.5203	LR: 0.020000
Training Epoch: 23 [18432/46200]	Loss: 0.4809	LR: 0.020000
Training Epoch: 23 [18688/46200]	Loss: 0.5566	LR: 0.020000
Training Epoch: 23 [18944/46200]	Loss: 0.6409	LR: 0.020000
Training Epoch: 23 [19200/46200]	Loss: 0.5794	LR: 0.020000
Training Epoch: 23 [19456/46200]	Loss: 0.6245	LR: 0.020000
Training Epoch: 23 [19712/46200]	Loss: 0.5314	LR: 0.020000
Training Epoch: 23 [19968/46200]	Loss: 0.5729	LR: 0.020000
Training Epoch: 23 [20224/46200]	Loss: 0.6487	LR: 0.020000
Training Epoch: 23 [20480/46200]	Loss: 0.5659	LR: 0.020000
Training Epoch: 23 [20736/46200]	Loss: 0.5139	LR: 0.020000
Training Epoch: 23 [20992/46200]	Loss: 0.5128	LR: 0.020000
Training Epoch: 23 [21248/46200]	Loss: 0.5512	LR: 0.020000
Training Epoch: 23 [21504/46200]	Loss: 0.4851	LR: 0.020000
Training Epoch: 23 [21760/46200]	Loss: 0.5736	LR: 0.020000
Training Epoch: 23 [22016/46200]	Loss: 0.5736	LR: 0.020000
Training Epoch: 23 [22272/46200]	Loss: 0.6081	LR: 0.020000
Training Epoch: 23 [22528/46200]	Loss: 0.5616	LR: 0.020000
Training Epoch: 23 [22784/46200]	Loss: 0.5976	LR: 0.020000
Training Epoch: 23 [23040/46200]	Loss: 0.6635	LR: 0.020000
Training Epoch: 23 [23296/46200]	Loss: 0.4847	LR: 0.020000
Training Epoch: 23 [23552/46200]	Loss: 0.6072	LR: 0.020000
Training Epoch: 23 [23808/46200]	Loss: 0.5558	LR: 0.020000
Training Epoch: 23 [24064/46200]	Loss: 0.4974	LR: 0.020000
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Training Epoch: 23 [27136/46200]	Loss: 0.6364	LR: 0.020000
Training Epoch: 23 [27392/46200]	Loss: 0.5666	LR: 0.020000
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Training Epoch: 23 [27904/46200]	Loss: 0.4800	LR: 0.020000
Training Epoch: 23 [28160/46200]	Loss: 0.5157	LR: 0.020000
Training Epoch: 23 [28416/46200]	Loss: 0.5583	LR: 0.020000
Training Epoch: 23 [28672/46200]	Loss: 0.5126	LR: 0.020000
Training Epoch: 23 [28928/46200]	Loss: 0.6234	LR: 0.020000
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Training Epoch: 23 [29696/46200]	Loss: 0.4735	LR: 0.020000
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Training Epoch: 23 [30976/46200]	Loss: 0.5080	LR: 0.020000
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Training Epoch: 23 [35840/46200]	Loss: 0.5875	LR: 0.020000
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Training Epoch: 23 [37632/46200]	Loss: 0.6079	LR: 0.020000
Training Epoch: 23 [37888/46200]	Loss: 0.4888	LR: 0.020000
Training Epoch: 23 [38144/46200]	Loss: 0.5726	LR: 0.020000
Training Epoch: 23 [38400/46200]	Loss: 0.6536	LR: 0.020000
Training Epoch: 23 [38656/46200]	Loss: 0.5940	LR: 0.020000
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Training Epoch: 23 [39680/46200]	Loss: 0.5090	LR: 0.020000
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Training Epoch: 23 [40192/46200]	Loss: 0.6280	LR: 0.020000
Training Epoch: 23 [40448/46200]	Loss: 0.5711	LR: 0.020000
Training Epoch: 23 [40704/46200]	Loss: 0.5317	LR: 0.020000
Training Epoch: 23 [40960/46200]	Loss: 0.5998	LR: 0.020000
Training Epoch: 23 [41216/46200]	Loss: 0.6281	LR: 0.020000
Training Epoch: 23 [41472/46200]	Loss: 0.5643	LR: 0.020000
Training Epoch: 23 [41728/46200]	Loss: 0.6070	LR: 0.020000
Training Epoch: 23 [41984/46200]	Loss: 0.5535	LR: 0.020000
Training Epoch: 23 [42240/46200]	Loss: 0.5677	LR: 0.020000
Training Epoch: 23 [42496/46200]	Loss: 0.6078	LR: 0.020000
Training Epoch: 23 [42752/46200]	Loss: 0.5785	LR: 0.020000
Training Epoch: 23 [43008/46200]	Loss: 0.6290	LR: 0.020000
Training Epoch: 23 [43264/46200]	Loss: 0.5753	LR: 0.020000
Training Epoch: 23 [43520/46200]	Loss: 0.5590	LR: 0.020000
Training Epoch: 23 [43776/46200]	Loss: 0.5671	LR: 0.020000
Training Epoch: 23 [44032/46200]	Loss: 0.5838	LR: 0.020000
Training Epoch: 23 [44288/46200]	Loss: 0.5958	LR: 0.020000
Training Epoch: 23 [44544/46200]	Loss: 0.5706	LR: 0.020000
Training Epoch: 23 [44800/46200]	Loss: 0.4771	LR: 0.020000
Training Epoch: 23 [45056/46200]	Loss: 0.5586	LR: 0.020000
Training Epoch: 23 [45312/46200]	Loss: 0.5880	LR: 0.020000
Training Epoch: 23 [45568/46200]	Loss: 0.4976	LR: 0.020000
Training Epoch: 23 [45824/46200]	Loss: 0.7201	LR: 0.020000
Training Epoch: 23 [46080/46200]	Loss: 0.5940	LR: 0.020000
Training Epoch: 23 [46200/46200]	Loss: 0.4038	LR: 0.020000
Epoch 23 - Average Train Loss: 0.5665, Train Accuracy: 0.8173
Epoch 23 training time consumed: 25.11s
Evaluating Network.....
Test set: Epoch: 23, Average loss: 0.0036, Accuracy: 0.7344, Time consumed:0.87s
Training Epoch: 24 [256/46200]	Loss: 0.4681	LR: 0.020000
Training Epoch: 24 [512/46200]	Loss: 0.5430	LR: 0.020000
Training Epoch: 24 [768/46200]	Loss: 0.5097	LR: 0.020000
Training Epoch: 24 [1024/46200]	Loss: 0.5445	LR: 0.020000
Training Epoch: 24 [1280/46200]	Loss: 0.6451	LR: 0.020000
Training Epoch: 24 [1536/46200]	Loss: 0.5563	LR: 0.020000
Training Epoch: 24 [1792/46200]	Loss: 0.5122	LR: 0.020000
Training Epoch: 24 [2048/46200]	Loss: 0.5784	LR: 0.020000
Training Epoch: 24 [2304/46200]	Loss: 0.5328	LR: 0.020000
Training Epoch: 24 [2560/46200]	Loss: 0.4949	LR: 0.020000
Training Epoch: 24 [2816/46200]	Loss: 0.4282	LR: 0.020000
Training Epoch: 24 [3072/46200]	Loss: 0.5025	LR: 0.020000
Training Epoch: 24 [3328/46200]	Loss: 0.5273	LR: 0.020000
Training Epoch: 24 [3584/46200]	Loss: 0.5260	LR: 0.020000
Training Epoch: 24 [3840/46200]	Loss: 0.5811	LR: 0.020000
Training Epoch: 24 [4096/46200]	Loss: 0.5233	LR: 0.020000
Training Epoch: 24 [4352/46200]	Loss: 0.5329	LR: 0.020000
Training Epoch: 24 [4608/46200]	Loss: 0.5380	LR: 0.020000
Training Epoch: 24 [4864/46200]	Loss: 0.5640	LR: 0.020000
Training Epoch: 24 [5120/46200]	Loss: 0.5463	LR: 0.020000
Training Epoch: 24 [5376/46200]	Loss: 0.3946	LR: 0.020000
Training Epoch: 24 [5632/46200]	Loss: 0.5271	LR: 0.020000
Training Epoch: 24 [5888/46200]	Loss: 0.4600	LR: 0.020000
Training Epoch: 24 [6144/46200]	Loss: 0.5617	LR: 0.020000
Training Epoch: 24 [6400/46200]	Loss: 0.5967	LR: 0.020000
Training Epoch: 24 [6656/46200]	Loss: 0.5621	LR: 0.020000
Training Epoch: 24 [6912/46200]	Loss: 0.5607	LR: 0.020000
Training Epoch: 24 [7168/46200]	Loss: 0.5185	LR: 0.020000
Training Epoch: 24 [7424/46200]	Loss: 0.4867	LR: 0.020000
Training Epoch: 24 [7680/46200]	Loss: 0.5160	LR: 0.020000
Training Epoch: 24 [7936/46200]	Loss: 0.5202	LR: 0.020000
Training Epoch: 24 [8192/46200]	Loss: 0.5326	LR: 0.020000
Training Epoch: 24 [8448/46200]	Loss: 0.4638	LR: 0.020000
Training Epoch: 24 [8704/46200]	Loss: 0.4801	LR: 0.020000
Training Epoch: 24 [8960/46200]	Loss: 0.5932	LR: 0.020000
Training Epoch: 24 [9216/46200]	Loss: 0.5053	LR: 0.020000
Training Epoch: 24 [9472/46200]	Loss: 0.5933	LR: 0.020000
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Training Epoch: 24 [9984/46200]	Loss: 0.4626	LR: 0.020000
Training Epoch: 24 [10240/46200]	Loss: 0.5503	LR: 0.020000
Training Epoch: 24 [10496/46200]	Loss: 0.5330	LR: 0.020000
Training Epoch: 24 [10752/46200]	Loss: 0.5753	LR: 0.020000
Training Epoch: 24 [11008/46200]	Loss: 0.5322	LR: 0.020000
Training Epoch: 24 [11264/46200]	Loss: 0.5966	LR: 0.020000
Training Epoch: 24 [11520/46200]	Loss: 0.5312	LR: 0.020000
Training Epoch: 24 [11776/46200]	Loss: 0.5297	LR: 0.020000
Training Epoch: 24 [12032/46200]	Loss: 0.5100	LR: 0.020000
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Training Epoch: 24 [15616/46200]	Loss: 0.5643	LR: 0.020000
Training Epoch: 24 [15872/46200]	Loss: 0.5536	LR: 0.020000
Training Epoch: 24 [16128/46200]	Loss: 0.4996	LR: 0.020000
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Training Epoch: 24 [16640/46200]	Loss: 0.5530	LR: 0.020000
Training Epoch: 24 [16896/46200]	Loss: 0.5566	LR: 0.020000
Training Epoch: 24 [17152/46200]	Loss: 0.5293	LR: 0.020000
Training Epoch: 24 [17408/46200]	Loss: 0.6099	LR: 0.020000
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Training Epoch: 24 [18176/46200]	Loss: 0.6410	LR: 0.020000
Training Epoch: 24 [18432/46200]	Loss: 0.6389	LR: 0.020000
Training Epoch: 24 [18688/46200]	Loss: 0.6260	LR: 0.020000
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Training Epoch: 24 [19712/46200]	Loss: 0.4909	LR: 0.020000
Training Epoch: 24 [19968/46200]	Loss: 0.5128	LR: 0.020000
Training Epoch: 24 [20224/46200]	Loss: 0.5667	LR: 0.020000
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Training Epoch: 24 [22016/46200]	Loss: 0.5483	LR: 0.020000
Training Epoch: 24 [22272/46200]	Loss: 0.6232	LR: 0.020000
Training Epoch: 24 [22528/46200]	Loss: 0.5735	LR: 0.020000
Training Epoch: 24 [22784/46200]	Loss: 0.5189	LR: 0.020000
Training Epoch: 24 [23040/46200]	Loss: 0.5429	LR: 0.020000
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Training Epoch: 24 [23808/46200]	Loss: 0.5208	LR: 0.020000
Training Epoch: 24 [24064/46200]	Loss: 0.5919	LR: 0.020000
Training Epoch: 24 [24320/46200]	Loss: 0.5164	LR: 0.020000
Training Epoch: 24 [24576/46200]	Loss: 0.5366	LR: 0.020000
Training Epoch: 24 [24832/46200]	Loss: 0.4749	LR: 0.020000
Training Epoch: 24 [25088/46200]	Loss: 0.5507	LR: 0.020000
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Training Epoch: 24 [26368/46200]	Loss: 0.5747	LR: 0.020000
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Training Epoch: 24 [26880/46200]	Loss: 0.5991	LR: 0.020000
Training Epoch: 24 [27136/46200]	Loss: 0.5757	LR: 0.020000
Training Epoch: 24 [27392/46200]	Loss: 0.5798	LR: 0.020000
Training Epoch: 24 [27648/46200]	Loss: 0.4482	LR: 0.020000
Training Epoch: 24 [27904/46200]	Loss: 0.5087	LR: 0.020000
Training Epoch: 24 [28160/46200]	Loss: 0.4762	LR: 0.020000
Training Epoch: 24 [28416/46200]	Loss: 0.6229	LR: 0.020000
Training Epoch: 24 [28672/46200]	Loss: 0.5578	LR: 0.020000
Training Epoch: 24 [28928/46200]	Loss: 0.7227	LR: 0.020000
Training Epoch: 24 [29184/46200]	Loss: 0.4496	LR: 0.020000
Training Epoch: 24 [29440/46200]	Loss: 0.6083	LR: 0.020000
Training Epoch: 24 [29696/46200]	Loss: 0.6627	LR: 0.020000
Training Epoch: 24 [29952/46200]	Loss: 0.5937	LR: 0.020000
Training Epoch: 24 [30208/46200]	Loss: 0.5257	LR: 0.020000
Training Epoch: 24 [30464/46200]	Loss: 0.4705	LR: 0.020000
Training Epoch: 24 [30720/46200]	Loss: 0.5221	LR: 0.020000
Training Epoch: 24 [30976/46200]	Loss: 0.4452	LR: 0.020000
Training Epoch: 24 [31232/46200]	Loss: 0.5336	LR: 0.020000
Training Epoch: 24 [31488/46200]	Loss: 0.5327	LR: 0.020000
Training Epoch: 24 [31744/46200]	Loss: 0.6369	LR: 0.020000
Training Epoch: 24 [32000/46200]	Loss: 0.6136	LR: 0.020000
Training Epoch: 24 [32256/46200]	Loss: 0.5745	LR: 0.020000
Training Epoch: 24 [32512/46200]	Loss: 0.7059	LR: 0.020000
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Training Epoch: 24 [37376/46200]	Loss: 0.6205	LR: 0.020000
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Training Epoch: 24 [38144/46200]	Loss: 0.5904	LR: 0.020000
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Training Epoch: 24 [38656/46200]	Loss: 0.4904	LR: 0.020000
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Training Epoch: 24 [39424/46200]	Loss: 0.5155	LR: 0.020000
Training Epoch: 24 [39680/46200]	Loss: 0.4850	LR: 0.020000
Training Epoch: 24 [39936/46200]	Loss: 0.4571	LR: 0.020000
Training Epoch: 24 [40192/46200]	Loss: 0.6188	LR: 0.020000
Training Epoch: 24 [40448/46200]	Loss: 0.5476	LR: 0.020000
Training Epoch: 24 [40704/46200]	Loss: 0.6232	LR: 0.020000
Training Epoch: 24 [40960/46200]	Loss: 0.5646	LR: 0.020000
Training Epoch: 24 [41216/46200]	Loss: 0.5732	LR: 0.020000
Training Epoch: 24 [41472/46200]	Loss: 0.6561	LR: 0.020000
Training Epoch: 24 [41728/46200]	Loss: 0.7159	LR: 0.020000
Training Epoch: 24 [41984/46200]	Loss: 0.7379	LR: 0.020000
Training Epoch: 24 [42240/46200]	Loss: 0.6019	LR: 0.020000
Training Epoch: 24 [42496/46200]	Loss: 0.5228	LR: 0.020000
Training Epoch: 24 [42752/46200]	Loss: 0.6193	LR: 0.020000
Training Epoch: 24 [43008/46200]	Loss: 0.6572	LR: 0.020000
Training Epoch: 24 [43264/46200]	Loss: 0.6363	LR: 0.020000
Training Epoch: 24 [43520/46200]	Loss: 0.5395	LR: 0.020000
Training Epoch: 24 [43776/46200]	Loss: 0.6248	LR: 0.020000
Training Epoch: 24 [44032/46200]	Loss: 0.4559	LR: 0.020000
Training Epoch: 24 [44288/46200]	Loss: 0.5761	LR: 0.020000
Training Epoch: 24 [44544/46200]	Loss: 0.6594	LR: 0.020000
Training Epoch: 24 [44800/46200]	Loss: 0.6745	LR: 0.020000
Training Epoch: 24 [45056/46200]	Loss: 0.6620	LR: 0.020000
Training Epoch: 24 [45312/46200]	Loss: 0.4928	LR: 0.020000
Training Epoch: 24 [45568/46200]	Loss: 0.5914	LR: 0.020000
Training Epoch: 24 [45824/46200]	Loss: 0.4356	LR: 0.020000
Training Epoch: 24 [46080/46200]	Loss: 0.5445	LR: 0.020000
Training Epoch: 24 [46200/46200]	Loss: 0.4392	LR: 0.020000
Epoch 24 - Average Train Loss: 0.5560, Train Accuracy: 0.8192
Epoch 24 training time consumed: 25.09s
Evaluating Network.....
Test set: Epoch: 24, Average loss: 0.0037, Accuracy: 0.7299, Time consumed:0.90s
Training Epoch: 25 [256/46200]	Loss: 0.4927	LR: 0.020000
Training Epoch: 25 [512/46200]	Loss: 0.5868	LR: 0.020000
Training Epoch: 25 [768/46200]	Loss: 0.5343	LR: 0.020000
Training Epoch: 25 [1024/46200]	Loss: 0.5903	LR: 0.020000
Training Epoch: 25 [1280/46200]	Loss: 0.6033	LR: 0.020000
Training Epoch: 25 [1536/46200]	Loss: 0.4796	LR: 0.020000
Training Epoch: 25 [1792/46200]	Loss: 0.4830	LR: 0.020000
Training Epoch: 25 [2048/46200]	Loss: 0.5763	LR: 0.020000
Training Epoch: 25 [2304/46200]	Loss: 0.4803	LR: 0.020000
Training Epoch: 25 [2560/46200]	Loss: 0.5433	LR: 0.020000
Training Epoch: 25 [2816/46200]	Loss: 0.5614	LR: 0.020000
Training Epoch: 25 [3072/46200]	Loss: 0.6100	LR: 0.020000
Training Epoch: 25 [3328/46200]	Loss: 0.4643	LR: 0.020000
Training Epoch: 25 [3584/46200]	Loss: 0.5138	LR: 0.020000
Training Epoch: 25 [3840/46200]	Loss: 0.5925	LR: 0.020000
Training Epoch: 25 [4096/46200]	Loss: 0.5709	LR: 0.020000
Training Epoch: 25 [4352/46200]	Loss: 0.5368	LR: 0.020000
Training Epoch: 25 [4608/46200]	Loss: 0.4426	LR: 0.020000
Training Epoch: 25 [4864/46200]	Loss: 0.5449	LR: 0.020000
Training Epoch: 25 [5120/46200]	Loss: 0.3993	LR: 0.020000
Training Epoch: 25 [5376/46200]	Loss: 0.5101	LR: 0.020000
Training Epoch: 25 [5632/46200]	Loss: 0.4723	LR: 0.020000
Training Epoch: 25 [5888/46200]	Loss: 0.5945	LR: 0.020000
Training Epoch: 25 [6144/46200]	Loss: 0.5098	LR: 0.020000
Training Epoch: 25 [6400/46200]	Loss: 0.5523	LR: 0.020000
Training Epoch: 25 [6656/46200]	Loss: 0.5382	LR: 0.020000
Training Epoch: 25 [6912/46200]	Loss: 0.5159	LR: 0.020000
Training Epoch: 25 [7168/46200]	Loss: 0.5164	LR: 0.020000
Training Epoch: 25 [7424/46200]	Loss: 0.5731	LR: 0.020000
Training Epoch: 25 [7680/46200]	Loss: 0.4261	LR: 0.020000
Training Epoch: 25 [7936/46200]	Loss: 0.5699	LR: 0.020000
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Training Epoch: 25 [8448/46200]	Loss: 0.5221	LR: 0.020000
Training Epoch: 25 [8704/46200]	Loss: 0.4468	LR: 0.020000
Training Epoch: 25 [8960/46200]	Loss: 0.5960	LR: 0.020000
Training Epoch: 25 [9216/46200]	Loss: 0.5231	LR: 0.020000
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Training Epoch: 25 [9728/46200]	Loss: 0.6155	LR: 0.020000
Training Epoch: 25 [9984/46200]	Loss: 0.5265	LR: 0.020000
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Training Epoch: 25 [10752/46200]	Loss: 0.5542	LR: 0.020000
Training Epoch: 25 [11008/46200]	Loss: 0.6262	LR: 0.020000
Training Epoch: 25 [11264/46200]	Loss: 0.5158	LR: 0.020000
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Training Epoch: 25 [19200/46200]	Loss: 0.5991	LR: 0.020000
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Training Epoch: 25 [26368/46200]	Loss: 0.5509	LR: 0.020000
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Training Epoch: 25 [27904/46200]	Loss: 0.7006	LR: 0.020000
Training Epoch: 25 [28160/46200]	Loss: 0.4679	LR: 0.020000
Training Epoch: 25 [28416/46200]	Loss: 0.6152	LR: 0.020000
Training Epoch: 25 [28672/46200]	Loss: 0.5989	LR: 0.020000
Training Epoch: 25 [28928/46200]	Loss: 0.4970	LR: 0.020000
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Training Epoch: 25 [29440/46200]	Loss: 0.5509	LR: 0.020000
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Training Epoch: 25 [30976/46200]	Loss: 0.5987	LR: 0.020000
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Training Epoch: 25 [40192/46200]	Loss: 0.5372	LR: 0.020000
Training Epoch: 25 [40448/46200]	Loss: 0.4654	LR: 0.020000
Training Epoch: 25 [40704/46200]	Loss: 0.5769	LR: 0.020000
Training Epoch: 25 [40960/46200]	Loss: 0.4888	LR: 0.020000
Training Epoch: 25 [41216/46200]	Loss: 0.5560	LR: 0.020000
Training Epoch: 25 [41472/46200]	Loss: 0.6158	LR: 0.020000
Training Epoch: 25 [41728/46200]	Loss: 0.5423	LR: 0.020000
Training Epoch: 25 [41984/46200]	Loss: 0.5327	LR: 0.020000
Training Epoch: 25 [42240/46200]	Loss: 0.7235	LR: 0.020000
Training Epoch: 25 [42496/46200]	Loss: 0.5071	LR: 0.020000
Training Epoch: 25 [42752/46200]	Loss: 0.6433	LR: 0.020000
Training Epoch: 25 [43008/46200]	Loss: 0.6096	LR: 0.020000
Training Epoch: 25 [43264/46200]	Loss: 0.5642	LR: 0.020000
Training Epoch: 25 [43520/46200]	Loss: 0.4941	LR: 0.020000
Training Epoch: 25 [43776/46200]	Loss: 0.5267	LR: 0.020000
Training Epoch: 25 [44032/46200]	Loss: 0.5413	LR: 0.020000
Training Epoch: 25 [44288/46200]	Loss: 0.5340	LR: 0.020000
Training Epoch: 25 [44544/46200]	Loss: 0.4768	LR: 0.020000
Training Epoch: 25 [44800/46200]	Loss: 0.5561	LR: 0.020000
Training Epoch: 25 [45056/46200]	Loss: 0.5884	LR: 0.020000
Training Epoch: 25 [45312/46200]	Loss: 0.4652	LR: 0.020000
Training Epoch: 25 [45568/46200]	Loss: 0.4632	LR: 0.020000
Training Epoch: 25 [45824/46200]	Loss: 0.6132	LR: 0.020000
Training Epoch: 25 [46080/46200]	Loss: 0.6605	LR: 0.020000
Training Epoch: 25 [46200/46200]	Loss: 0.4142	LR: 0.020000
Epoch 25 - Average Train Loss: 0.5460, Train Accuracy: 0.8231
Epoch 25 training time consumed: 25.13s
Evaluating Network.....
Test set: Epoch: 25, Average loss: 0.0037, Accuracy: 0.7317, Time consumed:0.88s
Training Epoch: 26 [256/46200]	Loss: 0.4603	LR: 0.020000
Training Epoch: 26 [512/46200]	Loss: 0.5387	LR: 0.020000
Training Epoch: 26 [768/46200]	Loss: 0.4474	LR: 0.020000
Training Epoch: 26 [1024/46200]	Loss: 0.5306	LR: 0.020000
Training Epoch: 26 [1280/46200]	Loss: 0.6293	LR: 0.020000
Training Epoch: 26 [1536/46200]	Loss: 0.5296	LR: 0.020000
Training Epoch: 26 [1792/46200]	Loss: 0.5783	LR: 0.020000
Training Epoch: 26 [2048/46200]	Loss: 0.4478	LR: 0.020000
Training Epoch: 26 [2304/46200]	Loss: 0.4103	LR: 0.020000
Training Epoch: 26 [2560/46200]	Loss: 0.5769	LR: 0.020000
Training Epoch: 26 [2816/46200]	Loss: 0.4821	LR: 0.020000
Training Epoch: 26 [3072/46200]	Loss: 0.5059	LR: 0.020000
Training Epoch: 26 [3328/46200]	Loss: 0.4577	LR: 0.020000
Training Epoch: 26 [3584/46200]	Loss: 0.5467	LR: 0.020000
Training Epoch: 26 [3840/46200]	Loss: 0.5291	LR: 0.020000
Training Epoch: 26 [4096/46200]	Loss: 0.4699	LR: 0.020000
Training Epoch: 26 [4352/46200]	Loss: 0.6079	LR: 0.020000
Training Epoch: 26 [4608/46200]	Loss: 0.5265	LR: 0.020000
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Training Epoch: 26 [5888/46200]	Loss: 0.5233	LR: 0.020000
Training Epoch: 26 [6144/46200]	Loss: 0.5787	LR: 0.020000
Training Epoch: 26 [6400/46200]	Loss: 0.4919	LR: 0.020000
Training Epoch: 26 [6656/46200]	Loss: 0.5104	LR: 0.020000
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Training Epoch: 26 [7168/46200]	Loss: 0.6174	LR: 0.020000
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Training Epoch: 26 [7680/46200]	Loss: 0.5519	LR: 0.020000
Training Epoch: 26 [7936/46200]	Loss: 0.4233	LR: 0.020000
Training Epoch: 26 [8192/46200]	Loss: 0.5028	LR: 0.020000
Training Epoch: 26 [8448/46200]	Loss: 0.5610	LR: 0.020000
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Training Epoch: 26 [8960/46200]	Loss: 0.4080	LR: 0.020000
Training Epoch: 26 [9216/46200]	Loss: 0.3735	LR: 0.020000
Training Epoch: 26 [9472/46200]	Loss: 0.5004	LR: 0.020000
Training Epoch: 26 [9728/46200]	Loss: 0.4657	LR: 0.020000
Training Epoch: 26 [9984/46200]	Loss: 0.4927	LR: 0.020000
Training Epoch: 26 [10240/46200]	Loss: 0.6475	LR: 0.020000
Training Epoch: 26 [10496/46200]	Loss: 0.5203	LR: 0.020000
Training Epoch: 26 [10752/46200]	Loss: 0.5482	LR: 0.020000
Training Epoch: 26 [11008/46200]	Loss: 0.4672	LR: 0.020000
Training Epoch: 26 [11264/46200]	Loss: 0.5848	LR: 0.020000
Training Epoch: 26 [11520/46200]	Loss: 0.5596	LR: 0.020000
Training Epoch: 26 [11776/46200]	Loss: 0.4484	LR: 0.020000
Training Epoch: 26 [12032/46200]	Loss: 0.4760	LR: 0.020000
Training Epoch: 26 [12288/46200]	Loss: 0.4331	LR: 0.020000
Training Epoch: 26 [12544/46200]	Loss: 0.5180	LR: 0.020000
Training Epoch: 26 [12800/46200]	Loss: 0.5657	LR: 0.020000
Training Epoch: 26 [13056/46200]	Loss: 0.5550	LR: 0.020000
Training Epoch: 26 [13312/46200]	Loss: 0.5854	LR: 0.020000
Training Epoch: 26 [13568/46200]	Loss: 0.4765	LR: 0.020000
Training Epoch: 26 [13824/46200]	Loss: 0.4710	LR: 0.020000
Training Epoch: 26 [14080/46200]	Loss: 0.6239	LR: 0.020000
Training Epoch: 26 [14336/46200]	Loss: 0.4759	LR: 0.020000
Training Epoch: 26 [14592/46200]	Loss: 0.4476	LR: 0.020000
Training Epoch: 26 [14848/46200]	Loss: 0.5062	LR: 0.020000
Training Epoch: 26 [15104/46200]	Loss: 0.4257	LR: 0.020000
Training Epoch: 26 [15360/46200]	Loss: 0.5626	LR: 0.020000
Training Epoch: 26 [15616/46200]	Loss: 0.5040	LR: 0.020000
Training Epoch: 26 [15872/46200]	Loss: 0.5736	LR: 0.020000
Training Epoch: 26 [16128/46200]	Loss: 0.3990	LR: 0.020000
Training Epoch: 26 [16384/46200]	Loss: 0.5407	LR: 0.020000
Training Epoch: 26 [16640/46200]	Loss: 0.5828	LR: 0.020000
Training Epoch: 26 [16896/46200]	Loss: 0.5094	LR: 0.020000
Training Epoch: 26 [17152/46200]	Loss: 0.5442	LR: 0.020000
Training Epoch: 26 [17408/46200]	Loss: 0.6128	LR: 0.020000
Training Epoch: 26 [17664/46200]	Loss: 0.4913	LR: 0.020000
Training Epoch: 26 [17920/46200]	Loss: 0.6239	LR: 0.020000
Training Epoch: 26 [18176/46200]	Loss: 0.4921	LR: 0.020000
Training Epoch: 26 [18432/46200]	Loss: 0.5641	LR: 0.020000
Training Epoch: 26 [18688/46200]	Loss: 0.5406	LR: 0.020000
Training Epoch: 26 [18944/46200]	Loss: 0.5144	LR: 0.020000
Training Epoch: 26 [19200/46200]	Loss: 0.5237	LR: 0.020000
Training Epoch: 26 [19456/46200]	Loss: 0.5221	LR: 0.020000
Training Epoch: 26 [19712/46200]	Loss: 0.4340	LR: 0.020000
Training Epoch: 26 [19968/46200]	Loss: 0.5612	LR: 0.020000
Training Epoch: 26 [20224/46200]	Loss: 0.5103	LR: 0.020000
Training Epoch: 26 [20480/46200]	Loss: 0.5950	LR: 0.020000
Training Epoch: 26 [20736/46200]	Loss: 0.5298	LR: 0.020000
Training Epoch: 26 [20992/46200]	Loss: 0.5189	LR: 0.020000
Training Epoch: 26 [21248/46200]	Loss: 0.6607	LR: 0.020000
Training Epoch: 26 [21504/46200]	Loss: 0.5399	LR: 0.020000
Training Epoch: 26 [21760/46200]	Loss: 0.6128	LR: 0.020000
Training Epoch: 26 [22016/46200]	Loss: 0.4739	LR: 0.020000
Training Epoch: 26 [22272/46200]	Loss: 0.4633	LR: 0.020000
Training Epoch: 26 [22528/46200]	Loss: 0.6142	LR: 0.020000
Training Epoch: 26 [22784/46200]	Loss: 0.5895	LR: 0.020000
Training Epoch: 26 [23040/46200]	Loss: 0.5303	LR: 0.020000
Training Epoch: 26 [23296/46200]	Loss: 0.6464	LR: 0.020000
Training Epoch: 26 [23552/46200]	Loss: 0.5370	LR: 0.020000
Training Epoch: 26 [23808/46200]	Loss: 0.5157	LR: 0.020000
Training Epoch: 26 [24064/46200]	Loss: 0.5406	LR: 0.020000
Training Epoch: 26 [24320/46200]	Loss: 0.5698	LR: 0.020000
Training Epoch: 26 [24576/46200]	Loss: 0.5034	LR: 0.020000
Training Epoch: 26 [24832/46200]	Loss: 0.6311	LR: 0.020000
Training Epoch: 26 [25088/46200]	Loss: 0.4770	LR: 0.020000
Training Epoch: 26 [25344/46200]	Loss: 0.5795	LR: 0.020000
Training Epoch: 26 [25600/46200]	Loss: 0.4825	LR: 0.020000
Training Epoch: 26 [25856/46200]	Loss: 0.4254	LR: 0.020000
Training Epoch: 26 [26112/46200]	Loss: 0.4935	LR: 0.020000
Training Epoch: 26 [26368/46200]	Loss: 0.5215	LR: 0.020000
Training Epoch: 26 [26624/46200]	Loss: 0.5051	LR: 0.020000
Training Epoch: 26 [26880/46200]	Loss: 0.4704	LR: 0.020000
Training Epoch: 26 [27136/46200]	Loss: 0.4610	LR: 0.020000
Training Epoch: 26 [27392/46200]	Loss: 0.6016	LR: 0.020000
Training Epoch: 26 [27648/46200]	Loss: 0.6643	LR: 0.020000
Training Epoch: 26 [27904/46200]	Loss: 0.5292	LR: 0.020000
Training Epoch: 26 [28160/46200]	Loss: 0.5427	LR: 0.020000
Training Epoch: 26 [28416/46200]	Loss: 0.5739	LR: 0.020000
Training Epoch: 26 [28672/46200]	Loss: 0.6002	LR: 0.020000
Training Epoch: 26 [28928/46200]	Loss: 0.4394	LR: 0.020000
Training Epoch: 26 [29184/46200]	Loss: 0.4969	LR: 0.020000
Training Epoch: 26 [29440/46200]	Loss: 0.4814	LR: 0.020000
Training Epoch: 26 [29696/46200]	Loss: 0.4478	LR: 0.020000
Training Epoch: 26 [29952/46200]	Loss: 0.6328	LR: 0.020000
Training Epoch: 26 [30208/46200]	Loss: 0.5918	LR: 0.020000
Training Epoch: 26 [30464/46200]	Loss: 0.5779	LR: 0.020000
Training Epoch: 26 [30720/46200]	Loss: 0.5281	LR: 0.020000
Training Epoch: 26 [30976/46200]	Loss: 0.5422	LR: 0.020000
Training Epoch: 26 [31232/46200]	Loss: 0.5750	LR: 0.020000
Training Epoch: 26 [31488/46200]	Loss: 0.6038	LR: 0.020000
Training Epoch: 26 [31744/46200]	Loss: 0.4503	LR: 0.020000
Training Epoch: 26 [32000/46200]	Loss: 0.5876	LR: 0.020000
Training Epoch: 26 [32256/46200]	Loss: 0.5173	LR: 0.020000
Training Epoch: 26 [32512/46200]	Loss: 0.5174	LR: 0.020000
Training Epoch: 26 [32768/46200]	Loss: 0.6949	LR: 0.020000
Training Epoch: 26 [33024/46200]	Loss: 0.6733	LR: 0.020000
Training Epoch: 26 [33280/46200]	Loss: 0.4751	LR: 0.020000
Training Epoch: 26 [33536/46200]	Loss: 0.4031	LR: 0.020000
Training Epoch: 26 [33792/46200]	Loss: 0.5503	LR: 0.020000
Training Epoch: 26 [34048/46200]	Loss: 0.5367	LR: 0.020000
Training Epoch: 26 [34304/46200]	Loss: 0.5811	LR: 0.020000
Training Epoch: 26 [34560/46200]	Loss: 0.6281	LR: 0.020000
Training Epoch: 26 [34816/46200]	Loss: 0.6225	LR: 0.020000
Training Epoch: 26 [35072/46200]	Loss: 0.4604	LR: 0.020000
Training Epoch: 26 [35328/46200]	Loss: 0.5186	LR: 0.020000
Training Epoch: 26 [35584/46200]	Loss: 0.5700	LR: 0.020000
Training Epoch: 26 [35840/46200]	Loss: 0.6074	LR: 0.020000
Training Epoch: 26 [36096/46200]	Loss: 0.6045	LR: 0.020000
Training Epoch: 26 [36352/46200]	Loss: 0.5405	LR: 0.020000
Training Epoch: 26 [36608/46200]	Loss: 0.5961	LR: 0.020000
Training Epoch: 26 [36864/46200]	Loss: 0.5883	LR: 0.020000
Training Epoch: 26 [37120/46200]	Loss: 0.5859	LR: 0.020000
Training Epoch: 26 [37376/46200]	Loss: 0.6044	LR: 0.020000
Training Epoch: 26 [37632/46200]	Loss: 0.4470	LR: 0.020000
Training Epoch: 26 [37888/46200]	Loss: 0.5872	LR: 0.020000
Training Epoch: 26 [38144/46200]	Loss: 0.5553	LR: 0.020000
Training Epoch: 26 [38400/46200]	Loss: 0.5665	LR: 0.020000
Training Epoch: 26 [38656/46200]	Loss: 0.5046	LR: 0.020000
Training Epoch: 26 [38912/46200]	Loss: 0.4707	LR: 0.020000
Training Epoch: 26 [39168/46200]	Loss: 0.4738	LR: 0.020000
Training Epoch: 26 [39424/46200]	Loss: 0.5690	LR: 0.020000
Training Epoch: 26 [39680/46200]	Loss: 0.6507	LR: 0.020000
Training Epoch: 26 [39936/46200]	Loss: 0.5453	LR: 0.020000
Training Epoch: 26 [40192/46200]	Loss: 0.5457	LR: 0.020000
Training Epoch: 26 [40448/46200]	Loss: 0.4916	LR: 0.020000
Training Epoch: 26 [40704/46200]	Loss: 0.6316	LR: 0.020000
Training Epoch: 26 [40960/46200]	Loss: 0.5285	LR: 0.020000
Training Epoch: 26 [41216/46200]	Loss: 0.5719	LR: 0.020000
Training Epoch: 26 [41472/46200]	Loss: 0.4888	LR: 0.020000
Training Epoch: 26 [41728/46200]	Loss: 0.5970	LR: 0.020000
Training Epoch: 26 [41984/46200]	Loss: 0.5035	LR: 0.020000
Training Epoch: 26 [42240/46200]	Loss: 0.5395	LR: 0.020000
Training Epoch: 26 [42496/46200]	Loss: 0.5497	LR: 0.020000
Training Epoch: 26 [42752/46200]	Loss: 0.5339	LR: 0.020000
Training Epoch: 26 [43008/46200]	Loss: 0.5393	LR: 0.020000
Training Epoch: 26 [43264/46200]	Loss: 0.4658	LR: 0.020000
Training Epoch: 26 [43520/46200]	Loss: 0.5928	LR: 0.020000
Training Epoch: 26 [43776/46200]	Loss: 0.5379	LR: 0.020000
Training Epoch: 26 [44032/46200]	Loss: 0.6556	LR: 0.020000
Training Epoch: 26 [44288/46200]	Loss: 0.6265	LR: 0.020000
Training Epoch: 26 [44544/46200]	Loss: 0.6135	LR: 0.020000
Training Epoch: 26 [44800/46200]	Loss: 0.5942	LR: 0.020000
Training Epoch: 26 [45056/46200]	Loss: 0.5605	LR: 0.020000
Training Epoch: 26 [45312/46200]	Loss: 0.6266	LR: 0.020000
Training Epoch: 26 [45568/46200]	Loss: 0.6140	LR: 0.020000
Training Epoch: 26 [45824/46200]	Loss: 0.5304	LR: 0.020000
Training Epoch: 26 [46080/46200]	Loss: 0.6132	LR: 0.020000
Training Epoch: 26 [46200/46200]	Loss: 0.6784	LR: 0.020000
Epoch 26 - Average Train Loss: 0.5376, Train Accuracy: 0.8242
Epoch 26 training time consumed: 25.21s
Evaluating Network.....
Test set: Epoch: 26, Average loss: 0.0035, Accuracy: 0.7369, Time consumed:0.87s
Training Epoch: 27 [256/46200]	Loss: 0.5724	LR: 0.020000
Training Epoch: 27 [512/46200]	Loss: 0.5111	LR: 0.020000
Training Epoch: 27 [768/46200]	Loss: 0.6888	LR: 0.020000
Training Epoch: 27 [1024/46200]	Loss: 0.4935	LR: 0.020000
Training Epoch: 27 [1280/46200]	Loss: 0.4623	LR: 0.020000
Training Epoch: 27 [1536/46200]	Loss: 0.4802	LR: 0.020000
Training Epoch: 27 [1792/46200]	Loss: 0.4650	LR: 0.020000
Training Epoch: 27 [2048/46200]	Loss: 0.6026	LR: 0.020000
Training Epoch: 27 [2304/46200]	Loss: 0.5593	LR: 0.020000
Training Epoch: 27 [2560/46200]	Loss: 0.5116	LR: 0.020000
Training Epoch: 27 [2816/46200]	Loss: 0.5338	LR: 0.020000
Training Epoch: 27 [3072/46200]	Loss: 0.5743	LR: 0.020000
Training Epoch: 27 [3328/46200]	Loss: 0.4079	LR: 0.020000
Training Epoch: 27 [3584/46200]	Loss: 0.4027	LR: 0.020000
Training Epoch: 27 [3840/46200]	Loss: 0.4647	LR: 0.020000
Training Epoch: 27 [4096/46200]	Loss: 0.5628	LR: 0.020000
Training Epoch: 27 [4352/46200]	Loss: 0.4923	LR: 0.020000
Training Epoch: 27 [4608/46200]	Loss: 0.5185	LR: 0.020000
Training Epoch: 27 [4864/46200]	Loss: 0.4463	LR: 0.020000
Training Epoch: 27 [5120/46200]	Loss: 0.4627	LR: 0.020000
Training Epoch: 27 [5376/46200]	Loss: 0.4821	LR: 0.020000
Training Epoch: 27 [5632/46200]	Loss: 0.6129	LR: 0.020000
Training Epoch: 27 [5888/46200]	Loss: 0.4645	LR: 0.020000
Training Epoch: 27 [6144/46200]	Loss: 0.4398	LR: 0.020000
Training Epoch: 27 [6400/46200]	Loss: 0.5057	LR: 0.020000
Training Epoch: 27 [6656/46200]	Loss: 0.4929	LR: 0.020000
Training Epoch: 27 [6912/46200]	Loss: 0.6056	LR: 0.020000
Training Epoch: 27 [7168/46200]	Loss: 0.3432	LR: 0.020000
Training Epoch: 27 [7424/46200]	Loss: 0.5703	LR: 0.020000
Training Epoch: 27 [7680/46200]	Loss: 0.4748	LR: 0.020000
Training Epoch: 27 [7936/46200]	Loss: 0.4836	LR: 0.020000
Training Epoch: 27 [8192/46200]	Loss: 0.5055	LR: 0.020000
Training Epoch: 27 [8448/46200]	Loss: 0.4816	LR: 0.020000
Training Epoch: 27 [8704/46200]	Loss: 0.5280	LR: 0.020000
Training Epoch: 27 [8960/46200]	Loss: 0.5555	LR: 0.020000
Training Epoch: 27 [9216/46200]	Loss: 0.4761	LR: 0.020000
Training Epoch: 27 [9472/46200]	Loss: 0.6732	LR: 0.020000
Training Epoch: 27 [9728/46200]	Loss: 0.4243	LR: 0.020000
Training Epoch: 27 [9984/46200]	Loss: 0.4173	LR: 0.020000
Training Epoch: 27 [10240/46200]	Loss: 0.5256	LR: 0.020000
Training Epoch: 27 [10496/46200]	Loss: 0.4231	LR: 0.020000
Training Epoch: 27 [10752/46200]	Loss: 0.4675	LR: 0.020000
Training Epoch: 27 [11008/46200]	Loss: 0.5659	LR: 0.020000
Training Epoch: 27 [11264/46200]	Loss: 0.5305	LR: 0.020000
Training Epoch: 27 [11520/46200]	Loss: 0.5917	LR: 0.020000
Training Epoch: 27 [11776/46200]	Loss: 0.5929	LR: 0.020000
Training Epoch: 27 [12032/46200]	Loss: 0.6010	LR: 0.020000
Training Epoch: 27 [12288/46200]	Loss: 0.6230	LR: 0.020000
Training Epoch: 27 [12544/46200]	Loss: 0.4669	LR: 0.020000
Training Epoch: 27 [12800/46200]	Loss: 0.5064	LR: 0.020000
Training Epoch: 27 [13056/46200]	Loss: 0.5971	LR: 0.020000
Training Epoch: 27 [13312/46200]	Loss: 0.5087	LR: 0.020000
Training Epoch: 27 [13568/46200]	Loss: 0.5630	LR: 0.020000
Training Epoch: 27 [13824/46200]	Loss: 0.4305	LR: 0.020000
Training Epoch: 27 [14080/46200]	Loss: 0.5615	LR: 0.020000
Training Epoch: 27 [14336/46200]	Loss: 0.4685	LR: 0.020000
Training Epoch: 27 [14592/46200]	Loss: 0.5408	LR: 0.020000
Training Epoch: 27 [14848/46200]	Loss: 0.4888	LR: 0.020000
Training Epoch: 27 [15104/46200]	Loss: 0.6600	LR: 0.020000
Training Epoch: 27 [15360/46200]	Loss: 0.4697	LR: 0.020000
Training Epoch: 27 [15616/46200]	Loss: 0.6457	LR: 0.020000
Training Epoch: 27 [15872/46200]	Loss: 0.5245	LR: 0.020000
Training Epoch: 27 [16128/46200]	Loss: 0.4959	LR: 0.020000
Training Epoch: 27 [16384/46200]	Loss: 0.4654	LR: 0.020000
Training Epoch: 27 [16640/46200]	Loss: 0.4877	LR: 0.020000
Training Epoch: 27 [16896/46200]	Loss: 0.5283	LR: 0.020000
Training Epoch: 27 [17152/46200]	Loss: 0.5915	LR: 0.020000
Training Epoch: 27 [17408/46200]	Loss: 0.4647	LR: 0.020000
Training Epoch: 27 [17664/46200]	Loss: 0.4309	LR: 0.020000
Training Epoch: 27 [17920/46200]	Loss: 0.5126	LR: 0.020000
Training Epoch: 27 [18176/46200]	Loss: 0.4629	LR: 0.020000
Training Epoch: 27 [18432/46200]	Loss: 0.5450	LR: 0.020000
Training Epoch: 27 [18688/46200]	Loss: 0.5489	LR: 0.020000
Training Epoch: 27 [18944/46200]	Loss: 0.4219	LR: 0.020000
Training Epoch: 27 [19200/46200]	Loss: 0.4298	LR: 0.020000
Training Epoch: 27 [19456/46200]	Loss: 0.4922	LR: 0.020000
Training Epoch: 27 [19712/46200]	Loss: 0.5224	LR: 0.020000
Training Epoch: 27 [19968/46200]	Loss: 0.4340	LR: 0.020000
Training Epoch: 27 [20224/46200]	Loss: 0.5067	LR: 0.020000
Training Epoch: 27 [20480/46200]	Loss: 0.4698	LR: 0.020000
Training Epoch: 27 [20736/46200]	Loss: 0.6223	LR: 0.020000
Training Epoch: 27 [20992/46200]	Loss: 0.4309	LR: 0.020000
Training Epoch: 27 [21248/46200]	Loss: 0.5114	LR: 0.020000
Training Epoch: 27 [21504/46200]	Loss: 0.4173	LR: 0.020000
Training Epoch: 27 [21760/46200]	Loss: 0.5093	LR: 0.020000
Training Epoch: 27 [22016/46200]	Loss: 0.5317	LR: 0.020000
Training Epoch: 27 [22272/46200]	Loss: 0.4169	LR: 0.020000
Training Epoch: 27 [22528/46200]	Loss: 0.4184	LR: 0.020000
Training Epoch: 27 [22784/46200]	Loss: 0.5365	LR: 0.020000
Training Epoch: 27 [23040/46200]	Loss: 0.5180	LR: 0.020000
Training Epoch: 27 [23296/46200]	Loss: 0.4666	LR: 0.020000
Training Epoch: 27 [23552/46200]	Loss: 0.4593	LR: 0.020000
Training Epoch: 27 [23808/46200]	Loss: 0.6180	LR: 0.020000
Training Epoch: 27 [24064/46200]	Loss: 0.5751	LR: 0.020000
Training Epoch: 27 [24320/46200]	Loss: 0.6149	LR: 0.020000
Training Epoch: 27 [24576/46200]	Loss: 0.5076	LR: 0.020000
Training Epoch: 27 [24832/46200]	Loss: 0.6109	LR: 0.020000
Training Epoch: 27 [25088/46200]	Loss: 0.5650	LR: 0.020000
Training Epoch: 27 [25344/46200]	Loss: 0.4737	LR: 0.020000
Training Epoch: 27 [25600/46200]	Loss: 0.5482	LR: 0.020000
Training Epoch: 27 [25856/46200]	Loss: 0.5754	LR: 0.020000
Training Epoch: 27 [26112/46200]	Loss: 0.4653	LR: 0.020000
Training Epoch: 27 [26368/46200]	Loss: 0.6215	LR: 0.020000
Training Epoch: 27 [26624/46200]	Loss: 0.4584	LR: 0.020000
Training Epoch: 27 [26880/46200]	Loss: 0.6021	LR: 0.020000
Training Epoch: 27 [27136/46200]	Loss: 0.5532	LR: 0.020000
Training Epoch: 27 [27392/46200]	Loss: 0.4697	LR: 0.020000
Training Epoch: 27 [27648/46200]	Loss: 0.5611	LR: 0.020000
Training Epoch: 27 [27904/46200]	Loss: 0.5628	LR: 0.020000
Training Epoch: 27 [28160/46200]	Loss: 0.4727	LR: 0.020000
Training Epoch: 27 [28416/46200]	Loss: 0.5217	LR: 0.020000
Training Epoch: 27 [28672/46200]	Loss: 0.5226	LR: 0.020000
Training Epoch: 27 [28928/46200]	Loss: 0.5962	LR: 0.020000
Training Epoch: 27 [29184/46200]	Loss: 0.5248	LR: 0.020000
Training Epoch: 27 [29440/46200]	Loss: 0.4501	LR: 0.020000
Training Epoch: 27 [29696/46200]	Loss: 0.5190	LR: 0.020000
Training Epoch: 27 [29952/46200]	Loss: 0.4793	LR: 0.020000
Training Epoch: 27 [30208/46200]	Loss: 0.5968	LR: 0.020000
Training Epoch: 27 [30464/46200]	Loss: 0.4441	LR: 0.020000
Training Epoch: 27 [30720/46200]	Loss: 0.6653	LR: 0.020000
Training Epoch: 27 [30976/46200]	Loss: 0.4425	LR: 0.020000
Training Epoch: 27 [31232/46200]	Loss: 0.5930	LR: 0.020000
Training Epoch: 27 [31488/46200]	Loss: 0.5321	LR: 0.020000
Training Epoch: 27 [31744/46200]	Loss: 0.6418	LR: 0.020000
Training Epoch: 27 [32000/46200]	Loss: 0.4769	LR: 0.020000
Training Epoch: 27 [32256/46200]	Loss: 0.6457	LR: 0.020000
Training Epoch: 27 [32512/46200]	Loss: 0.5443	LR: 0.020000
Training Epoch: 27 [32768/46200]	Loss: 0.5980	LR: 0.020000
Training Epoch: 27 [33024/46200]	Loss: 0.5098	LR: 0.020000
Training Epoch: 27 [33280/46200]	Loss: 0.4827	LR: 0.020000
Training Epoch: 27 [33536/46200]	Loss: 0.5037	LR: 0.020000
Training Epoch: 27 [33792/46200]	Loss: 0.5706	LR: 0.020000
Training Epoch: 27 [34048/46200]	Loss: 0.6272	LR: 0.020000
Training Epoch: 27 [34304/46200]	Loss: 0.5247	LR: 0.020000
Training Epoch: 27 [34560/46200]	Loss: 0.5765	LR: 0.020000
Training Epoch: 27 [34816/46200]	Loss: 0.5466	LR: 0.020000
Training Epoch: 27 [35072/46200]	Loss: 0.5646	LR: 0.020000
Training Epoch: 27 [35328/46200]	Loss: 0.5334	LR: 0.020000
Training Epoch: 27 [35584/46200]	Loss: 0.5377	LR: 0.020000
Training Epoch: 27 [35840/46200]	Loss: 0.6133	LR: 0.020000
Training Epoch: 27 [36096/46200]	Loss: 0.5557	LR: 0.020000
Training Epoch: 27 [36352/46200]	Loss: 0.6341	LR: 0.020000
Training Epoch: 27 [36608/46200]	Loss: 0.4833	LR: 0.020000
Training Epoch: 27 [36864/46200]	Loss: 0.6224	LR: 0.020000
Training Epoch: 27 [37120/46200]	Loss: 0.4425	LR: 0.020000
Training Epoch: 27 [37376/46200]	Loss: 0.4622	LR: 0.020000
Training Epoch: 27 [37632/46200]	Loss: 0.6112	LR: 0.020000
Training Epoch: 27 [37888/46200]	Loss: 0.5006	LR: 0.020000
Training Epoch: 27 [38144/46200]	Loss: 0.5224	LR: 0.020000
Training Epoch: 27 [38400/46200]	Loss: 0.5730	LR: 0.020000
Training Epoch: 27 [38656/46200]	Loss: 0.6008	LR: 0.020000
Training Epoch: 27 [38912/46200]	Loss: 0.5548	LR: 0.020000
Training Epoch: 27 [39168/46200]	Loss: 0.5283	LR: 0.020000
Training Epoch: 27 [39424/46200]	Loss: 0.6479	LR: 0.020000
Training Epoch: 27 [39680/46200]	Loss: 0.5916	LR: 0.020000
Training Epoch: 27 [39936/46200]	Loss: 0.5096	LR: 0.020000
Training Epoch: 27 [40192/46200]	Loss: 0.5441	LR: 0.020000
Training Epoch: 27 [40448/46200]	Loss: 0.4502	LR: 0.020000
Training Epoch: 27 [40704/46200]	Loss: 0.5204	LR: 0.020000
Training Epoch: 27 [40960/46200]	Loss: 0.6156	LR: 0.020000
Training Epoch: 27 [41216/46200]	Loss: 0.5116	LR: 0.020000
Training Epoch: 27 [41472/46200]	Loss: 0.5968	LR: 0.020000
Training Epoch: 27 [41728/46200]	Loss: 0.5722	LR: 0.020000
Training Epoch: 27 [41984/46200]	Loss: 0.5031	LR: 0.020000
Training Epoch: 27 [42240/46200]	Loss: 0.4044	LR: 0.020000
Training Epoch: 27 [42496/46200]	Loss: 0.4802	LR: 0.020000
Training Epoch: 27 [42752/46200]	Loss: 0.5494	LR: 0.020000
Training Epoch: 27 [43008/46200]	Loss: 0.6182	LR: 0.020000
Training Epoch: 27 [43264/46200]	Loss: 0.6081	LR: 0.020000
Training Epoch: 27 [43520/46200]	Loss: 0.5500	LR: 0.020000
Training Epoch: 27 [43776/46200]	Loss: 0.5524	LR: 0.020000
Training Epoch: 27 [44032/46200]	Loss: 0.5130	LR: 0.020000
Training Epoch: 27 [44288/46200]	Loss: 0.5218	LR: 0.020000
Training Epoch: 27 [44544/46200]	Loss: 0.4754	LR: 0.020000
Training Epoch: 27 [44800/46200]	Loss: 0.6296	LR: 0.020000
Training Epoch: 27 [45056/46200]	Loss: 0.6118	LR: 0.020000
Training Epoch: 27 [45312/46200]	Loss: 0.5195	LR: 0.020000
Training Epoch: 27 [45568/46200]	Loss: 0.6087	LR: 0.020000
Training Epoch: 27 [45824/46200]	Loss: 0.6355	LR: 0.020000
Training Epoch: 27 [46080/46200]	Loss: 0.5373	LR: 0.020000
Training Epoch: 27 [46200/46200]	Loss: 0.4963	LR: 0.020000
Epoch 27 - Average Train Loss: 0.5275, Train Accuracy: 0.8294
Epoch 27 training time consumed: 25.26s
Evaluating Network.....
Test set: Epoch: 27, Average loss: 0.0036, Accuracy: 0.7370, Time consumed:0.94s
Training Epoch: 28 [256/46200]	Loss: 0.5449	LR: 0.020000
Training Epoch: 28 [512/46200]	Loss: 0.4283	LR: 0.020000
Training Epoch: 28 [768/46200]	Loss: 0.5124	LR: 0.020000
Training Epoch: 28 [1024/46200]	Loss: 0.4412	LR: 0.020000
Training Epoch: 28 [1280/46200]	Loss: 0.4963	LR: 0.020000
Training Epoch: 28 [1536/46200]	Loss: 0.4569	LR: 0.020000
Training Epoch: 28 [1792/46200]	Loss: 0.4672	LR: 0.020000
Training Epoch: 28 [2048/46200]	Loss: 0.4837	LR: 0.020000
Training Epoch: 28 [2304/46200]	Loss: 0.5324	LR: 0.020000
Training Epoch: 28 [2560/46200]	Loss: 0.5304	LR: 0.020000
Training Epoch: 28 [2816/46200]	Loss: 0.5767	LR: 0.020000
Training Epoch: 28 [3072/46200]	Loss: 0.5186	LR: 0.020000
Training Epoch: 28 [3328/46200]	Loss: 0.6016	LR: 0.020000
Training Epoch: 28 [3584/46200]	Loss: 0.4515	LR: 0.020000
Training Epoch: 28 [3840/46200]	Loss: 0.5275	LR: 0.020000
Training Epoch: 28 [4096/46200]	Loss: 0.5427	LR: 0.020000
Training Epoch: 28 [4352/46200]	Loss: 0.4922	LR: 0.020000
Training Epoch: 28 [4608/46200]	Loss: 0.4253	LR: 0.020000
Training Epoch: 28 [4864/46200]	Loss: 0.3663	LR: 0.020000
Training Epoch: 28 [5120/46200]	Loss: 0.4377	LR: 0.020000
Training Epoch: 28 [5376/46200]	Loss: 0.5495	LR: 0.020000
Training Epoch: 28 [5632/46200]	Loss: 0.4633	LR: 0.020000
Training Epoch: 28 [5888/46200]	Loss: 0.5306	LR: 0.020000
Training Epoch: 28 [6144/46200]	Loss: 0.5023	LR: 0.020000
Training Epoch: 28 [6400/46200]	Loss: 0.5123	LR: 0.020000
Training Epoch: 28 [6656/46200]	Loss: 0.5247	LR: 0.020000
Training Epoch: 28 [6912/46200]	Loss: 0.4892	LR: 0.020000
Training Epoch: 28 [7168/46200]	Loss: 0.4810	LR: 0.020000
Training Epoch: 28 [7424/46200]	Loss: 0.4038	LR: 0.020000
Training Epoch: 28 [7680/46200]	Loss: 0.6098	LR: 0.020000
Training Epoch: 28 [7936/46200]	Loss: 0.4750	LR: 0.020000
Training Epoch: 28 [8192/46200]	Loss: 0.5130	LR: 0.020000
Training Epoch: 28 [8448/46200]	Loss: 0.4273	LR: 0.020000
Training Epoch: 28 [8704/46200]	Loss: 0.4295	LR: 0.020000
Training Epoch: 28 [8960/46200]	Loss: 0.4287	LR: 0.020000
Training Epoch: 28 [9216/46200]	Loss: 0.4880	LR: 0.020000
Training Epoch: 28 [9472/46200]	Loss: 0.3785	LR: 0.020000
Training Epoch: 28 [9728/46200]	Loss: 0.5496	LR: 0.020000
Training Epoch: 28 [9984/46200]	Loss: 0.4712	LR: 0.020000
Training Epoch: 28 [10240/46200]	Loss: 0.3909	LR: 0.020000
Training Epoch: 28 [10496/46200]	Loss: 0.5198	LR: 0.020000
Training Epoch: 28 [10752/46200]	Loss: 0.4381	LR: 0.020000
Training Epoch: 28 [11008/46200]	Loss: 0.4708	LR: 0.020000
Training Epoch: 28 [11264/46200]	Loss: 0.4596	LR: 0.020000
Training Epoch: 28 [11520/46200]	Loss: 0.5372	LR: 0.020000
Training Epoch: 28 [11776/46200]	Loss: 0.4086	LR: 0.020000
Training Epoch: 28 [12032/46200]	Loss: 0.4438	LR: 0.020000
Training Epoch: 28 [12288/46200]	Loss: 0.5282	LR: 0.020000
Training Epoch: 28 [12544/46200]	Loss: 0.4070	LR: 0.020000
Training Epoch: 28 [12800/46200]	Loss: 0.5010	LR: 0.020000
Training Epoch: 28 [13056/46200]	Loss: 0.5539	LR: 0.020000
Training Epoch: 28 [13312/46200]	Loss: 0.6622	LR: 0.020000
Training Epoch: 28 [13568/46200]	Loss: 0.4339	LR: 0.020000
Training Epoch: 28 [13824/46200]	Loss: 0.6140	LR: 0.020000
Training Epoch: 28 [14080/46200]	Loss: 0.4924	LR: 0.020000
Training Epoch: 28 [14336/46200]	Loss: 0.5631	LR: 0.020000
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Training Epoch: 28 [15616/46200]	Loss: 0.5846	LR: 0.020000
Training Epoch: 28 [15872/46200]	Loss: 0.5487	LR: 0.020000
Training Epoch: 28 [16128/46200]	Loss: 0.5878	LR: 0.020000
Training Epoch: 28 [16384/46200]	Loss: 0.5120	LR: 0.020000
Training Epoch: 28 [16640/46200]	Loss: 0.5575	LR: 0.020000
Training Epoch: 28 [16896/46200]	Loss: 0.5053	LR: 0.020000
Training Epoch: 28 [17152/46200]	Loss: 0.5078	LR: 0.020000
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Training Epoch: 28 [17664/46200]	Loss: 0.5220	LR: 0.020000
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Training Epoch: 28 [18432/46200]	Loss: 0.5991	LR: 0.020000
Training Epoch: 28 [18688/46200]	Loss: 0.4559	LR: 0.020000
Training Epoch: 28 [18944/46200]	Loss: 0.4619	LR: 0.020000
Training Epoch: 28 [19200/46200]	Loss: 0.5377	LR: 0.020000
Training Epoch: 28 [19456/46200]	Loss: 0.4548	LR: 0.020000
Training Epoch: 28 [19712/46200]	Loss: 0.4618	LR: 0.020000
Training Epoch: 28 [19968/46200]	Loss: 0.5327	LR: 0.020000
Training Epoch: 28 [20224/46200]	Loss: 0.5157	LR: 0.020000
Training Epoch: 28 [20480/46200]	Loss: 0.4887	LR: 0.020000
Training Epoch: 28 [20736/46200]	Loss: 0.4734	LR: 0.020000
Training Epoch: 28 [20992/46200]	Loss: 0.5105	LR: 0.020000
Training Epoch: 28 [21248/46200]	Loss: 0.5604	LR: 0.020000
Training Epoch: 28 [21504/46200]	Loss: 0.5588	LR: 0.020000
Training Epoch: 28 [21760/46200]	Loss: 0.5453	LR: 0.020000
Training Epoch: 28 [22016/46200]	Loss: 0.4763	LR: 0.020000
Training Epoch: 28 [22272/46200]	Loss: 0.6067	LR: 0.020000
Training Epoch: 28 [22528/46200]	Loss: 0.5079	LR: 0.020000
Training Epoch: 28 [22784/46200]	Loss: 0.5053	LR: 0.020000
Training Epoch: 28 [23040/46200]	Loss: 0.3854	LR: 0.020000
Training Epoch: 28 [23296/46200]	Loss: 0.4919	LR: 0.020000
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Training Epoch: 28 [23808/46200]	Loss: 0.5996	LR: 0.020000
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Training Epoch: 28 [24832/46200]	Loss: 0.5098	LR: 0.020000
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Training Epoch: 28 [26368/46200]	Loss: 0.6573	LR: 0.020000
Training Epoch: 28 [26624/46200]	Loss: 0.5005	LR: 0.020000
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Training Epoch: 28 [27904/46200]	Loss: 0.5138	LR: 0.020000
Training Epoch: 28 [28160/46200]	Loss: 0.5061	LR: 0.020000
Training Epoch: 28 [28416/46200]	Loss: 0.5149	LR: 0.020000
Training Epoch: 28 [28672/46200]	Loss: 0.4459	LR: 0.020000
Training Epoch: 28 [28928/46200]	Loss: 0.4410	LR: 0.020000
Training Epoch: 28 [29184/46200]	Loss: 0.6339	LR: 0.020000
Training Epoch: 28 [29440/46200]	Loss: 0.3897	LR: 0.020000
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Training Epoch: 28 [29952/46200]	Loss: 0.5619	LR: 0.020000
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Training Epoch: 28 [30720/46200]	Loss: 0.4912	LR: 0.020000
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Training Epoch: 28 [31232/46200]	Loss: 0.6212	LR: 0.020000
Training Epoch: 28 [31488/46200]	Loss: 0.5608	LR: 0.020000
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Training Epoch: 28 [32256/46200]	Loss: 0.4327	LR: 0.020000
Training Epoch: 28 [32512/46200]	Loss: 0.5497	LR: 0.020000
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Training Epoch: 28 [33280/46200]	Loss: 0.4368	LR: 0.020000
Training Epoch: 28 [33536/46200]	Loss: 0.5520	LR: 0.020000
Training Epoch: 28 [33792/46200]	Loss: 0.6559	LR: 0.020000
Training Epoch: 28 [34048/46200]	Loss: 0.5480	LR: 0.020000
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Training Epoch: 28 [34560/46200]	Loss: 0.4880	LR: 0.020000
Training Epoch: 28 [34816/46200]	Loss: 0.5352	LR: 0.020000
Training Epoch: 28 [35072/46200]	Loss: 0.6029	LR: 0.020000
Training Epoch: 28 [35328/46200]	Loss: 0.6287	LR: 0.020000
Training Epoch: 28 [35584/46200]	Loss: 0.5149	LR: 0.020000
Training Epoch: 28 [35840/46200]	Loss: 0.5627	LR: 0.020000
Training Epoch: 28 [36096/46200]	Loss: 0.5063	LR: 0.020000
Training Epoch: 28 [36352/46200]	Loss: 0.5290	LR: 0.020000
Training Epoch: 28 [36608/46200]	Loss: 0.5559	LR: 0.020000
Training Epoch: 28 [36864/46200]	Loss: 0.5948	LR: 0.020000
Training Epoch: 28 [37120/46200]	Loss: 0.4695	LR: 0.020000
Training Epoch: 28 [37376/46200]	Loss: 0.5761	LR: 0.020000
Training Epoch: 28 [37632/46200]	Loss: 0.4169	LR: 0.020000
Training Epoch: 28 [37888/46200]	Loss: 0.5733	LR: 0.020000
Training Epoch: 28 [38144/46200]	Loss: 0.3876	LR: 0.020000
Training Epoch: 28 [38400/46200]	Loss: 0.4274	LR: 0.020000
Training Epoch: 28 [38656/46200]	Loss: 0.4686	LR: 0.020000
Training Epoch: 28 [38912/46200]	Loss: 0.5609	LR: 0.020000
Training Epoch: 28 [39168/46200]	Loss: 0.5546	LR: 0.020000
Training Epoch: 28 [39424/46200]	Loss: 0.4831	LR: 0.020000
Training Epoch: 28 [39680/46200]	Loss: 0.4918	LR: 0.020000
Training Epoch: 28 [39936/46200]	Loss: 0.4922	LR: 0.020000
Training Epoch: 28 [40192/46200]	Loss: 0.5292	LR: 0.020000
Training Epoch: 28 [40448/46200]	Loss: 0.5358	LR: 0.020000
Training Epoch: 28 [40704/46200]	Loss: 0.6437	LR: 0.020000
Training Epoch: 28 [40960/46200]	Loss: 0.4825	LR: 0.020000
Training Epoch: 28 [41216/46200]	Loss: 0.5160	LR: 0.020000
Training Epoch: 28 [41472/46200]	Loss: 0.5796	LR: 0.020000
Training Epoch: 28 [41728/46200]	Loss: 0.4495	LR: 0.020000
Training Epoch: 28 [41984/46200]	Loss: 0.4711	LR: 0.020000
Training Epoch: 28 [42240/46200]	Loss: 0.5619	LR: 0.020000
Training Epoch: 28 [42496/46200]	Loss: 0.5948	LR: 0.020000
Training Epoch: 28 [42752/46200]	Loss: 0.5660	LR: 0.020000
Training Epoch: 28 [43008/46200]	Loss: 0.6082	LR: 0.020000
Training Epoch: 28 [43264/46200]	Loss: 0.5344	LR: 0.020000
Training Epoch: 28 [43520/46200]	Loss: 0.6035	LR: 0.020000
Training Epoch: 28 [43776/46200]	Loss: 0.5986	LR: 0.020000
Training Epoch: 28 [44032/46200]	Loss: 0.4073	LR: 0.020000
Training Epoch: 28 [44288/46200]	Loss: 0.4945	LR: 0.020000
Training Epoch: 28 [44544/46200]	Loss: 0.5202	LR: 0.020000
Training Epoch: 28 [44800/46200]	Loss: 0.5202	LR: 0.020000
Training Epoch: 28 [45056/46200]	Loss: 0.4924	LR: 0.020000
Training Epoch: 28 [45312/46200]	Loss: 0.5954	LR: 0.020000
Training Epoch: 28 [45568/46200]	Loss: 0.4456	LR: 0.020000
Training Epoch: 28 [45824/46200]	Loss: 0.5626	LR: 0.020000
Training Epoch: 28 [46080/46200]	Loss: 0.4921	LR: 0.020000
Training Epoch: 28 [46200/46200]	Loss: 0.5294	LR: 0.020000
Epoch 28 - Average Train Loss: 0.5173, Train Accuracy: 0.8312
Epoch 28 training time consumed: 25.06s
Evaluating Network.....
Test set: Epoch: 28, Average loss: 0.0037, Accuracy: 0.7295, Time consumed:0.89s
Training Epoch: 29 [256/46200]	Loss: 0.5158	LR: 0.020000
Training Epoch: 29 [512/46200]	Loss: 0.4556	LR: 0.020000
Training Epoch: 29 [768/46200]	Loss: 0.5399	LR: 0.020000
Training Epoch: 29 [1024/46200]	Loss: 0.4483	LR: 0.020000
Training Epoch: 29 [1280/46200]	Loss: 0.4372	LR: 0.020000
Training Epoch: 29 [1536/46200]	Loss: 0.4707	LR: 0.020000
Training Epoch: 29 [1792/46200]	Loss: 0.5689	LR: 0.020000
Training Epoch: 29 [2048/46200]	Loss: 0.3651	LR: 0.020000
Training Epoch: 29 [2304/46200]	Loss: 0.4869	LR: 0.020000
Training Epoch: 29 [2560/46200]	Loss: 0.5248	LR: 0.020000
Training Epoch: 29 [2816/46200]	Loss: 0.4225	LR: 0.020000
Training Epoch: 29 [3072/46200]	Loss: 0.5192	LR: 0.020000
Training Epoch: 29 [3328/46200]	Loss: 0.3866	LR: 0.020000
Training Epoch: 29 [3584/46200]	Loss: 0.4276	LR: 0.020000
Training Epoch: 29 [3840/46200]	Loss: 0.5868	LR: 0.020000
Training Epoch: 29 [4096/46200]	Loss: 0.5246	LR: 0.020000
Training Epoch: 29 [4352/46200]	Loss: 0.5567	LR: 0.020000
Training Epoch: 29 [4608/46200]	Loss: 0.4522	LR: 0.020000
Training Epoch: 29 [4864/46200]	Loss: 0.5433	LR: 0.020000
Training Epoch: 29 [5120/46200]	Loss: 0.4635	LR: 0.020000
Training Epoch: 29 [5376/46200]	Loss: 0.4767	LR: 0.020000
Training Epoch: 29 [5632/46200]	Loss: 0.4290	LR: 0.020000
Training Epoch: 29 [5888/46200]	Loss: 0.5548	LR: 0.020000
Training Epoch: 29 [6144/46200]	Loss: 0.5399	LR: 0.020000
Training Epoch: 29 [6400/46200]	Loss: 0.5048	LR: 0.020000
Training Epoch: 29 [6656/46200]	Loss: 0.5227	LR: 0.020000
Training Epoch: 29 [6912/46200]	Loss: 0.5416	LR: 0.020000
Training Epoch: 29 [7168/46200]	Loss: 0.5660	LR: 0.020000
Training Epoch: 29 [7424/46200]	Loss: 0.4492	LR: 0.020000
Training Epoch: 29 [7680/46200]	Loss: 0.6213	LR: 0.020000
Training Epoch: 29 [7936/46200]	Loss: 0.4561	LR: 0.020000
Training Epoch: 29 [8192/46200]	Loss: 0.4217	LR: 0.020000
Training Epoch: 29 [8448/46200]	Loss: 0.4063	LR: 0.020000
Training Epoch: 29 [8704/46200]	Loss: 0.5147	LR: 0.020000
Training Epoch: 29 [8960/46200]	Loss: 0.5554	LR: 0.020000
Training Epoch: 29 [9216/46200]	Loss: 0.4941	LR: 0.020000
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Training Epoch: 29 [9984/46200]	Loss: 0.5530	LR: 0.020000
Training Epoch: 29 [10240/46200]	Loss: 0.5049	LR: 0.020000
Training Epoch: 29 [10496/46200]	Loss: 0.5160	LR: 0.020000
Training Epoch: 29 [10752/46200]	Loss: 0.3988	LR: 0.020000
Training Epoch: 29 [11008/46200]	Loss: 0.5024	LR: 0.020000
Training Epoch: 29 [11264/46200]	Loss: 0.4884	LR: 0.020000
Training Epoch: 29 [11520/46200]	Loss: 0.6415	LR: 0.020000
Training Epoch: 29 [11776/46200]	Loss: 0.4402	LR: 0.020000
Training Epoch: 29 [12032/46200]	Loss: 0.4123	LR: 0.020000
Training Epoch: 29 [12288/46200]	Loss: 0.4120	LR: 0.020000
Training Epoch: 29 [12544/46200]	Loss: 0.5729	LR: 0.020000
Training Epoch: 29 [12800/46200]	Loss: 0.5372	LR: 0.020000
Training Epoch: 29 [13056/46200]	Loss: 0.5945	LR: 0.020000
Training Epoch: 29 [13312/46200]	Loss: 0.4197	LR: 0.020000
Training Epoch: 29 [13568/46200]	Loss: 0.4444	LR: 0.020000
Training Epoch: 29 [13824/46200]	Loss: 0.5067	LR: 0.020000
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Training Epoch: 29 [14336/46200]	Loss: 0.5695	LR: 0.020000
Training Epoch: 29 [14592/46200]	Loss: 0.4751	LR: 0.020000
Training Epoch: 29 [14848/46200]	Loss: 0.4975	LR: 0.020000
Training Epoch: 29 [15104/46200]	Loss: 0.4658	LR: 0.020000
Training Epoch: 29 [15360/46200]	Loss: 0.4103	LR: 0.020000
Training Epoch: 29 [15616/46200]	Loss: 0.4665	LR: 0.020000
Training Epoch: 29 [15872/46200]	Loss: 0.5239	LR: 0.020000
Training Epoch: 29 [16128/46200]	Loss: 0.3696	LR: 0.020000
Training Epoch: 29 [16384/46200]	Loss: 0.5666	LR: 0.020000
Training Epoch: 29 [16640/46200]	Loss: 0.4858	LR: 0.020000
Training Epoch: 29 [16896/46200]	Loss: 0.4648	LR: 0.020000
Training Epoch: 29 [17152/46200]	Loss: 0.4782	LR: 0.020000
Training Epoch: 29 [17408/46200]	Loss: 0.5202	LR: 0.020000
Training Epoch: 29 [17664/46200]	Loss: 0.5683	LR: 0.020000
Training Epoch: 29 [17920/46200]	Loss: 0.5232	LR: 0.020000
Training Epoch: 29 [18176/46200]	Loss: 0.4842	LR: 0.020000
Training Epoch: 29 [18432/46200]	Loss: 0.5027	LR: 0.020000
Training Epoch: 29 [18688/46200]	Loss: 0.4845	LR: 0.020000
Training Epoch: 29 [18944/46200]	Loss: 0.4628	LR: 0.020000
Training Epoch: 29 [19200/46200]	Loss: 0.4969	LR: 0.020000
Training Epoch: 29 [19456/46200]	Loss: 0.4733	LR: 0.020000
Training Epoch: 29 [19712/46200]	Loss: 0.5005	LR: 0.020000
Training Epoch: 29 [19968/46200]	Loss: 0.4527	LR: 0.020000
Training Epoch: 29 [20224/46200]	Loss: 0.5564	LR: 0.020000
Training Epoch: 29 [20480/46200]	Loss: 0.6209	LR: 0.020000
Training Epoch: 29 [20736/46200]	Loss: 0.5668	LR: 0.020000
Training Epoch: 29 [20992/46200]	Loss: 0.5368	LR: 0.020000
Training Epoch: 29 [21248/46200]	Loss: 0.5069	LR: 0.020000
Training Epoch: 29 [21504/46200]	Loss: 0.4900	LR: 0.020000
Training Epoch: 29 [21760/46200]	Loss: 0.6212	LR: 0.020000
Training Epoch: 29 [22016/46200]	Loss: 0.5834	LR: 0.020000
Training Epoch: 29 [22272/46200]	Loss: 0.4471	LR: 0.020000
Training Epoch: 29 [22528/46200]	Loss: 0.4636	LR: 0.020000
Training Epoch: 29 [22784/46200]	Loss: 0.4564	LR: 0.020000
Training Epoch: 29 [23040/46200]	Loss: 0.4843	LR: 0.020000
Training Epoch: 29 [23296/46200]	Loss: 0.5383	LR: 0.020000
Training Epoch: 29 [23552/46200]	Loss: 0.5732	LR: 0.020000
Training Epoch: 29 [23808/46200]	Loss: 0.4298	LR: 0.020000
Training Epoch: 29 [24064/46200]	Loss: 0.5517	LR: 0.020000
Training Epoch: 29 [24320/46200]	Loss: 0.5950	LR: 0.020000
Training Epoch: 29 [24576/46200]	Loss: 0.4945	LR: 0.020000
Training Epoch: 29 [24832/46200]	Loss: 0.5507	LR: 0.020000
Training Epoch: 29 [25088/46200]	Loss: 0.4218	LR: 0.020000
Training Epoch: 29 [25344/46200]	Loss: 0.4999	LR: 0.020000
Training Epoch: 29 [25600/46200]	Loss: 0.4680	LR: 0.020000
Training Epoch: 29 [25856/46200]	Loss: 0.5098	LR: 0.020000
Training Epoch: 29 [26112/46200]	Loss: 0.5373	LR: 0.020000
Training Epoch: 29 [26368/46200]	Loss: 0.4757	LR: 0.020000
Training Epoch: 29 [26624/46200]	Loss: 0.5080	LR: 0.020000
Training Epoch: 29 [26880/46200]	Loss: 0.4770	LR: 0.020000
Training Epoch: 29 [27136/46200]	Loss: 0.4889	LR: 0.020000
Training Epoch: 29 [27392/46200]	Loss: 0.4693	LR: 0.020000
Training Epoch: 29 [27648/46200]	Loss: 0.4278	LR: 0.020000
Training Epoch: 29 [27904/46200]	Loss: 0.5841	LR: 0.020000
Training Epoch: 29 [28160/46200]	Loss: 0.5466	LR: 0.020000
Training Epoch: 29 [28416/46200]	Loss: 0.5092	LR: 0.020000
Training Epoch: 29 [28672/46200]	Loss: 0.5382	LR: 0.020000
Training Epoch: 29 [28928/46200]	Loss: 0.4753	LR: 0.020000
Training Epoch: 29 [29184/46200]	Loss: 0.6474	LR: 0.020000
Training Epoch: 29 [29440/46200]	Loss: 0.4824	LR: 0.020000
Training Epoch: 29 [29696/46200]	Loss: 0.5814	LR: 0.020000
Training Epoch: 29 [29952/46200]	Loss: 0.4641	LR: 0.020000
Training Epoch: 29 [30208/46200]	Loss: 0.4834	LR: 0.020000
Training Epoch: 29 [30464/46200]	Loss: 0.5835	LR: 0.020000
Training Epoch: 29 [30720/46200]	Loss: 0.5604	LR: 0.020000
Training Epoch: 29 [30976/46200]	Loss: 0.4591	LR: 0.020000
Training Epoch: 29 [31232/46200]	Loss: 0.4466	LR: 0.020000
Training Epoch: 29 [31488/46200]	Loss: 0.5350	LR: 0.020000
Training Epoch: 29 [31744/46200]	Loss: 0.5363	LR: 0.020000
Training Epoch: 29 [32000/46200]	Loss: 0.4410	LR: 0.020000
Training Epoch: 29 [32256/46200]	Loss: 0.5309	LR: 0.020000
Training Epoch: 29 [32512/46200]	Loss: 0.4555	LR: 0.020000
Training Epoch: 29 [32768/46200]	Loss: 0.5531	LR: 0.020000
Training Epoch: 29 [33024/46200]	Loss: 0.5587	LR: 0.020000
Training Epoch: 29 [33280/46200]	Loss: 0.5375	LR: 0.020000
Training Epoch: 29 [33536/46200]	Loss: 0.4567	LR: 0.020000
Training Epoch: 29 [33792/46200]	Loss: 0.5219	LR: 0.020000
Training Epoch: 29 [34048/46200]	Loss: 0.5092	LR: 0.020000
Training Epoch: 29 [34304/46200]	Loss: 0.4929	LR: 0.020000
Training Epoch: 29 [34560/46200]	Loss: 0.4968	LR: 0.020000
Training Epoch: 29 [34816/46200]	Loss: 0.5031	LR: 0.020000
Training Epoch: 29 [35072/46200]	Loss: 0.4185	LR: 0.020000
Training Epoch: 29 [35328/46200]	Loss: 0.4481	LR: 0.020000
Training Epoch: 29 [35584/46200]	Loss: 0.4367	LR: 0.020000
Training Epoch: 29 [35840/46200]	Loss: 0.5005	LR: 0.020000
Training Epoch: 29 [36096/46200]	Loss: 0.5500	LR: 0.020000
Training Epoch: 29 [36352/46200]	Loss: 0.4685	LR: 0.020000
Training Epoch: 29 [36608/46200]	Loss: 0.5011	LR: 0.020000
Training Epoch: 29 [36864/46200]	Loss: 0.4356	LR: 0.020000
Training Epoch: 29 [37120/46200]	Loss: 0.5730	LR: 0.020000
Training Epoch: 29 [37376/46200]	Loss: 0.5384	LR: 0.020000
Training Epoch: 29 [37632/46200]	Loss: 0.4426	LR: 0.020000
Training Epoch: 29 [37888/46200]	Loss: 0.5618	LR: 0.020000
Training Epoch: 29 [38144/46200]	Loss: 0.6294	LR: 0.020000
Training Epoch: 29 [38400/46200]	Loss: 0.6125	LR: 0.020000
Training Epoch: 29 [38656/46200]	Loss: 0.5261	LR: 0.020000
Training Epoch: 29 [38912/46200]	Loss: 0.4662	LR: 0.020000
Training Epoch: 29 [39168/46200]	Loss: 0.5511	LR: 0.020000
Training Epoch: 29 [39424/46200]	Loss: 0.5655	LR: 0.020000
Training Epoch: 29 [39680/46200]	Loss: 0.4352	LR: 0.020000
Training Epoch: 29 [39936/46200]	Loss: 0.5541	LR: 0.020000
Training Epoch: 29 [40192/46200]	Loss: 0.5008	LR: 0.020000
Training Epoch: 29 [40448/46200]	Loss: 0.5338	LR: 0.020000
Training Epoch: 29 [40704/46200]	Loss: 0.4920	LR: 0.020000
Training Epoch: 29 [40960/46200]	Loss: 0.5311	LR: 0.020000
Training Epoch: 29 [41216/46200]	Loss: 0.5391	LR: 0.020000
Training Epoch: 29 [41472/46200]	Loss: 0.4689	LR: 0.020000
Training Epoch: 29 [41728/46200]	Loss: 0.4520	LR: 0.020000
Training Epoch: 29 [41984/46200]	Loss: 0.5542	LR: 0.020000
Training Epoch: 29 [42240/46200]	Loss: 0.6460	LR: 0.020000
Training Epoch: 29 [42496/46200]	Loss: 0.5960	LR: 0.020000
Training Epoch: 29 [42752/46200]	Loss: 0.5444	LR: 0.020000
Training Epoch: 29 [43008/46200]	Loss: 0.5547	LR: 0.020000
Training Epoch: 29 [43264/46200]	Loss: 0.4680	LR: 0.020000
Training Epoch: 29 [43520/46200]	Loss: 0.6119	LR: 0.020000
Training Epoch: 29 [43776/46200]	Loss: 0.3829	LR: 0.020000
Training Epoch: 29 [44032/46200]	Loss: 0.5918	LR: 0.020000
Training Epoch: 29 [44288/46200]	Loss: 0.4933	LR: 0.020000
Training Epoch: 29 [44544/46200]	Loss: 0.5758	LR: 0.020000
Training Epoch: 29 [44800/46200]	Loss: 0.5187	LR: 0.020000
Training Epoch: 29 [45056/46200]	Loss: 0.4849	LR: 0.020000
Training Epoch: 29 [45312/46200]	Loss: 0.5921	LR: 0.020000
Training Epoch: 29 [45568/46200]	Loss: 0.5814	LR: 0.020000
Training Epoch: 29 [45824/46200]	Loss: 0.5468	LR: 0.020000
Training Epoch: 29 [46080/46200]	Loss: 0.4357	LR: 0.020000
Training Epoch: 29 [46200/46200]	Loss: 0.4185	LR: 0.020000
Epoch 29 - Average Train Loss: 0.5068, Train Accuracy: 0.8356
Epoch 29 training time consumed: 25.08s
Evaluating Network.....
Test set: Epoch: 29, Average loss: 0.0037, Accuracy: 0.7333, Time consumed:0.94s
Training Epoch: 30 [256/46200]	Loss: 0.4523	LR: 0.004000
Training Epoch: 30 [512/46200]	Loss: 0.4903	LR: 0.004000
Training Epoch: 30 [768/46200]	Loss: 0.4002	LR: 0.004000
Training Epoch: 30 [1024/46200]	Loss: 0.4586	LR: 0.004000
Training Epoch: 30 [1280/46200]	Loss: 0.3891	LR: 0.004000
Training Epoch: 30 [1536/46200]	Loss: 0.3802	LR: 0.004000
Training Epoch: 30 [1792/46200]	Loss: 0.3806	LR: 0.004000
Training Epoch: 30 [2048/46200]	Loss: 0.4202	LR: 0.004000
Training Epoch: 30 [2304/46200]	Loss: 0.3931	LR: 0.004000
Training Epoch: 30 [2560/46200]	Loss: 0.3531	LR: 0.004000
Training Epoch: 30 [2816/46200]	Loss: 0.4257	LR: 0.004000
Training Epoch: 30 [3072/46200]	Loss: 0.3927	LR: 0.004000
Training Epoch: 30 [3328/46200]	Loss: 0.5734	LR: 0.004000
Training Epoch: 30 [3584/46200]	Loss: 0.4906	LR: 0.004000
Training Epoch: 30 [3840/46200]	Loss: 0.3980	LR: 0.004000
Training Epoch: 30 [4096/46200]	Loss: 0.4606	LR: 0.004000
Training Epoch: 30 [4352/46200]	Loss: 0.4169	LR: 0.004000
Training Epoch: 30 [4608/46200]	Loss: 0.4132	LR: 0.004000
Training Epoch: 30 [4864/46200]	Loss: 0.4523	LR: 0.004000
Training Epoch: 30 [5120/46200]	Loss: 0.4792	LR: 0.004000
Training Epoch: 30 [5376/46200]	Loss: 0.4819	LR: 0.004000
Training Epoch: 30 [5632/46200]	Loss: 0.3806	LR: 0.004000
Training Epoch: 30 [5888/46200]	Loss: 0.4450	LR: 0.004000
Training Epoch: 30 [6144/46200]	Loss: 0.4995	LR: 0.004000
Training Epoch: 30 [6400/46200]	Loss: 0.4803	LR: 0.004000
Training Epoch: 30 [6656/46200]	Loss: 0.3070	LR: 0.004000
Training Epoch: 30 [6912/46200]	Loss: 0.4330	LR: 0.004000
Training Epoch: 30 [7168/46200]	Loss: 0.4424	LR: 0.004000
Training Epoch: 30 [7424/46200]	Loss: 0.4057	LR: 0.004000
Training Epoch: 30 [7680/46200]	Loss: 0.3099	LR: 0.004000
Training Epoch: 30 [7936/46200]	Loss: 0.3335	LR: 0.004000
Training Epoch: 30 [8192/46200]	Loss: 0.4560	LR: 0.004000
Training Epoch: 30 [8448/46200]	Loss: 0.4250	LR: 0.004000
Training Epoch: 30 [8704/46200]	Loss: 0.4233	LR: 0.004000
Training Epoch: 30 [8960/46200]	Loss: 0.4891	LR: 0.004000
Training Epoch: 30 [9216/46200]	Loss: 0.3877	LR: 0.004000
Training Epoch: 30 [9472/46200]	Loss: 0.3803	LR: 0.004000
Training Epoch: 30 [9728/46200]	Loss: 0.4127	LR: 0.004000
Training Epoch: 30 [9984/46200]	Loss: 0.4090	LR: 0.004000
Training Epoch: 30 [10240/46200]	Loss: 0.4202	LR: 0.004000
Training Epoch: 30 [10496/46200]	Loss: 0.4472	LR: 0.004000
Training Epoch: 30 [10752/46200]	Loss: 0.3165	LR: 0.004000
Training Epoch: 30 [11008/46200]	Loss: 0.4111	LR: 0.004000
Training Epoch: 30 [11264/46200]	Loss: 0.3580	LR: 0.004000
Training Epoch: 30 [11520/46200]	Loss: 0.4422	LR: 0.004000
Training Epoch: 30 [11776/46200]	Loss: 0.4020	LR: 0.004000
Training Epoch: 30 [12032/46200]	Loss: 0.4500	LR: 0.004000
Training Epoch: 30 [12288/46200]	Loss: 0.4163	LR: 0.004000
Training Epoch: 30 [12544/46200]	Loss: 0.2969	LR: 0.004000
Training Epoch: 30 [12800/46200]	Loss: 0.4401	LR: 0.004000
Training Epoch: 30 [13056/46200]	Loss: 0.3285	LR: 0.004000
Training Epoch: 30 [13312/46200]	Loss: 0.3459	LR: 0.004000
Training Epoch: 30 [13568/46200]	Loss: 0.3945	LR: 0.004000
Training Epoch: 30 [13824/46200]	Loss: 0.4325	LR: 0.004000
Training Epoch: 30 [14080/46200]	Loss: 0.4976	LR: 0.004000
Training Epoch: 30 [14336/46200]	Loss: 0.4080	LR: 0.004000
Training Epoch: 30 [14592/46200]	Loss: 0.4457	LR: 0.004000
Training Epoch: 30 [14848/46200]	Loss: 0.3244	LR: 0.004000
Training Epoch: 30 [15104/46200]	Loss: 0.3891	LR: 0.004000
Training Epoch: 30 [15360/46200]	Loss: 0.4182	LR: 0.004000
Training Epoch: 30 [15616/46200]	Loss: 0.3669	LR: 0.004000
Training Epoch: 30 [15872/46200]	Loss: 0.4220	LR: 0.004000
Training Epoch: 30 [16128/46200]	Loss: 0.3281	LR: 0.004000
Training Epoch: 30 [16384/46200]	Loss: 0.4549	LR: 0.004000
Training Epoch: 30 [16640/46200]	Loss: 0.3578	LR: 0.004000
Training Epoch: 30 [16896/46200]	Loss: 0.3491	LR: 0.004000
Training Epoch: 30 [17152/46200]	Loss: 0.4134	LR: 0.004000
Training Epoch: 30 [17408/46200]	Loss: 0.4656	LR: 0.004000
Training Epoch: 30 [17664/46200]	Loss: 0.4084	LR: 0.004000
Training Epoch: 30 [17920/46200]	Loss: 0.5005	LR: 0.004000
Training Epoch: 30 [18176/46200]	Loss: 0.4017	LR: 0.004000
Training Epoch: 30 [18432/46200]	Loss: 0.3340	LR: 0.004000
Training Epoch: 30 [18688/46200]	Loss: 0.4094	LR: 0.004000
Training Epoch: 30 [18944/46200]	Loss: 0.3442	LR: 0.004000
Training Epoch: 30 [19200/46200]	Loss: 0.3412	LR: 0.004000
Training Epoch: 30 [19456/46200]	Loss: 0.4866	LR: 0.004000
Training Epoch: 30 [19712/46200]	Loss: 0.3664	LR: 0.004000
Training Epoch: 30 [19968/46200]	Loss: 0.3744	LR: 0.004000
Training Epoch: 30 [20224/46200]	Loss: 0.2837	LR: 0.004000
Training Epoch: 30 [20480/46200]	Loss: 0.3811	LR: 0.004000
Training Epoch: 30 [20736/46200]	Loss: 0.3867	LR: 0.004000
Training Epoch: 30 [20992/46200]	Loss: 0.4328	LR: 0.004000
Training Epoch: 30 [21248/46200]	Loss: 0.3589	LR: 0.004000
Training Epoch: 30 [21504/46200]	Loss: 0.2767	LR: 0.004000
Training Epoch: 30 [21760/46200]	Loss: 0.2968	LR: 0.004000
Training Epoch: 30 [22016/46200]	Loss: 0.4452	LR: 0.004000
Training Epoch: 30 [22272/46200]	Loss: 0.4267	LR: 0.004000
Training Epoch: 30 [22528/46200]	Loss: 0.3078	LR: 0.004000
Training Epoch: 30 [22784/46200]	Loss: 0.3278	LR: 0.004000
Training Epoch: 30 [23040/46200]	Loss: 0.5002	LR: 0.004000
Training Epoch: 30 [23296/46200]	Loss: 0.3030	LR: 0.004000
Training Epoch: 30 [23552/46200]	Loss: 0.3019	LR: 0.004000
Training Epoch: 30 [23808/46200]	Loss: 0.3840	LR: 0.004000
Training Epoch: 30 [24064/46200]	Loss: 0.4174	LR: 0.004000
Training Epoch: 30 [24320/46200]	Loss: 0.3749	LR: 0.004000
Training Epoch: 30 [24576/46200]	Loss: 0.3669	LR: 0.004000
Training Epoch: 30 [24832/46200]	Loss: 0.3663	LR: 0.004000
Training Epoch: 30 [25088/46200]	Loss: 0.3015	LR: 0.004000
Training Epoch: 30 [25344/46200]	Loss: 0.3439	LR: 0.004000
Training Epoch: 30 [25600/46200]	Loss: 0.3623	LR: 0.004000
Training Epoch: 30 [25856/46200]	Loss: 0.3974	LR: 0.004000
Training Epoch: 30 [26112/46200]	Loss: 0.3313	LR: 0.004000
Training Epoch: 30 [26368/46200]	Loss: 0.4480	LR: 0.004000
Training Epoch: 30 [26624/46200]	Loss: 0.2933	LR: 0.004000
Training Epoch: 30 [26880/46200]	Loss: 0.3705	LR: 0.004000
Training Epoch: 30 [27136/46200]	Loss: 0.4528	LR: 0.004000
Training Epoch: 30 [27392/46200]	Loss: 0.3531	LR: 0.004000
Training Epoch: 30 [27648/46200]	Loss: 0.3399	LR: 0.004000
Training Epoch: 30 [27904/46200]	Loss: 0.5084	LR: 0.004000
Training Epoch: 30 [28160/46200]	Loss: 0.3512	LR: 0.004000
Training Epoch: 30 [28416/46200]	Loss: 0.4702	LR: 0.004000
Training Epoch: 30 [28672/46200]	Loss: 0.4207	LR: 0.004000
Training Epoch: 30 [28928/46200]	Loss: 0.4286	LR: 0.004000
Training Epoch: 30 [29184/46200]	Loss: 0.2918	LR: 0.004000
Training Epoch: 30 [29440/46200]	Loss: 0.4123	LR: 0.004000
Training Epoch: 30 [29696/46200]	Loss: 0.4229	LR: 0.004000
Training Epoch: 30 [29952/46200]	Loss: 0.4168	LR: 0.004000
Training Epoch: 30 [30208/46200]	Loss: 0.3909	LR: 0.004000
Training Epoch: 30 [30464/46200]	Loss: 0.4133	LR: 0.004000
Training Epoch: 30 [30720/46200]	Loss: 0.3779	LR: 0.004000
Training Epoch: 30 [30976/46200]	Loss: 0.3130	LR: 0.004000
Training Epoch: 30 [31232/46200]	Loss: 0.3659	LR: 0.004000
Training Epoch: 30 [31488/46200]	Loss: 0.4580	LR: 0.004000
Training Epoch: 30 [31744/46200]	Loss: 0.4251	LR: 0.004000
Training Epoch: 30 [32000/46200]	Loss: 0.4069	LR: 0.004000
Training Epoch: 30 [32256/46200]	Loss: 0.4298	LR: 0.004000
Training Epoch: 30 [32512/46200]	Loss: 0.3939	LR: 0.004000
Training Epoch: 30 [32768/46200]	Loss: 0.4060	LR: 0.004000
Training Epoch: 30 [33024/46200]	Loss: 0.4349	LR: 0.004000
Training Epoch: 30 [33280/46200]	Loss: 0.4693	LR: 0.004000
Training Epoch: 30 [33536/46200]	Loss: 0.3644	LR: 0.004000
Training Epoch: 30 [33792/46200]	Loss: 0.3039	LR: 0.004000
Training Epoch: 30 [34048/46200]	Loss: 0.3281	LR: 0.004000
Training Epoch: 30 [34304/46200]	Loss: 0.3160	LR: 0.004000
Training Epoch: 30 [34560/46200]	Loss: 0.3630	LR: 0.004000
Training Epoch: 30 [34816/46200]	Loss: 0.4389	LR: 0.004000
Training Epoch: 30 [35072/46200]	Loss: 0.3734	LR: 0.004000
Training Epoch: 30 [35328/46200]	Loss: 0.3567	LR: 0.004000
Training Epoch: 30 [35584/46200]	Loss: 0.4010	LR: 0.004000
Training Epoch: 30 [35840/46200]	Loss: 0.4702	LR: 0.004000
Training Epoch: 30 [36096/46200]	Loss: 0.3552	LR: 0.004000
Training Epoch: 30 [36352/46200]	Loss: 0.3478	LR: 0.004000
Training Epoch: 30 [36608/46200]	Loss: 0.3478	LR: 0.004000
Training Epoch: 30 [36864/46200]	Loss: 0.4127	LR: 0.004000
Training Epoch: 30 [37120/46200]	Loss: 0.3287	LR: 0.004000
Training Epoch: 30 [37376/46200]	Loss: 0.3311	LR: 0.004000
Training Epoch: 30 [37632/46200]	Loss: 0.3813	LR: 0.004000
Training Epoch: 30 [37888/46200]	Loss: 0.4082	LR: 0.004000
Training Epoch: 30 [38144/46200]	Loss: 0.3985	LR: 0.004000
Training Epoch: 30 [38400/46200]	Loss: 0.4251	LR: 0.004000
Training Epoch: 30 [38656/46200]	Loss: 0.3306	LR: 0.004000
Training Epoch: 30 [38912/46200]	Loss: 0.3161	LR: 0.004000
Training Epoch: 30 [39168/46200]	Loss: 0.4255	LR: 0.004000
Training Epoch: 30 [39424/46200]	Loss: 0.4260	LR: 0.004000
Training Epoch: 30 [39680/46200]	Loss: 0.4465	LR: 0.004000
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Training Epoch: 30 [42240/46200]	Loss: 0.4400	LR: 0.004000
Training Epoch: 30 [42496/46200]	Loss: 0.3398	LR: 0.004000
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Training Epoch: 30 [43008/46200]	Loss: 0.3578	LR: 0.004000
Training Epoch: 30 [43264/46200]	Loss: 0.3819	LR: 0.004000
Training Epoch: 30 [43520/46200]	Loss: 0.3782	LR: 0.004000
Training Epoch: 30 [43776/46200]	Loss: 0.3645	LR: 0.004000
Training Epoch: 30 [44032/46200]	Loss: 0.3738	LR: 0.004000
Training Epoch: 30 [44288/46200]	Loss: 0.3031	LR: 0.004000
Training Epoch: 30 [44544/46200]	Loss: 0.3479	LR: 0.004000
Training Epoch: 30 [44800/46200]	Loss: 0.3249	LR: 0.004000
Training Epoch: 30 [45056/46200]	Loss: 0.4105	LR: 0.004000
Training Epoch: 30 [45312/46200]	Loss: 0.3567	LR: 0.004000
Training Epoch: 30 [45568/46200]	Loss: 0.4408	LR: 0.004000
Training Epoch: 30 [45824/46200]	Loss: 0.4359	LR: 0.004000
Training Epoch: 30 [46080/46200]	Loss: 0.3978	LR: 0.004000
Training Epoch: 30 [46200/46200]	Loss: 0.2832	LR: 0.004000
Epoch 30 - Average Train Loss: 0.3922, Train Accuracy: 0.8770
Epoch 30 training time consumed: 25.06s
Evaluating Network.....
Test set: Epoch: 30, Average loss: 0.0030, Accuracy: 0.7783, Time consumed:0.94s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_19h_22m_35s/AllCNN-Cifar20-seed10-ret25-30-best.pth
Training Epoch: 31 [256/46200]	Loss: 0.3476	LR: 0.004000
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Training Epoch: 31 [768/46200]	Loss: 0.3348	LR: 0.004000
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Training Epoch: 31 [44032/46200]	Loss: 0.2958	LR: 0.004000
Training Epoch: 31 [44288/46200]	Loss: 0.3720	LR: 0.004000
Training Epoch: 31 [44544/46200]	Loss: 0.3735	LR: 0.004000
Training Epoch: 31 [44800/46200]	Loss: 0.3680	LR: 0.004000
Training Epoch: 31 [45056/46200]	Loss: 0.3902	LR: 0.004000
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Training Epoch: 31 [45568/46200]	Loss: 0.3594	LR: 0.004000
Training Epoch: 31 [45824/46200]	Loss: 0.3736	LR: 0.004000
Training Epoch: 31 [46080/46200]	Loss: 0.4535	LR: 0.004000
Training Epoch: 31 [46200/46200]	Loss: 0.3157	LR: 0.004000
Epoch 31 - Average Train Loss: 0.3606, Train Accuracy: 0.8876
Epoch 31 training time consumed: 25.23s
Evaluating Network.....
Test set: Epoch: 31, Average loss: 0.0030, Accuracy: 0.7791, Time consumed:0.84s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_19h_22m_35s/AllCNN-Cifar20-seed10-ret25-31-best.pth
Training Epoch: 32 [256/46200]	Loss: 0.3260	LR: 0.004000
Training Epoch: 32 [512/46200]	Loss: 0.3938	LR: 0.004000
Training Epoch: 32 [768/46200]	Loss: 0.3254	LR: 0.004000
Training Epoch: 32 [1024/46200]	Loss: 0.3352	LR: 0.004000
Training Epoch: 32 [1280/46200]	Loss: 0.3153	LR: 0.004000
Training Epoch: 32 [1536/46200]	Loss: 0.2861	LR: 0.004000
Training Epoch: 32 [1792/46200]	Loss: 0.3727	LR: 0.004000
Training Epoch: 32 [2048/46200]	Loss: 0.3570	LR: 0.004000
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Training Epoch: 32 [18688/46200]	Loss: 0.3590	LR: 0.004000
Training Epoch: 32 [18944/46200]	Loss: 0.4154	LR: 0.004000
Training Epoch: 32 [19200/46200]	Loss: 0.3715	LR: 0.004000
Training Epoch: 32 [19456/46200]	Loss: 0.3638	LR: 0.004000
Training Epoch: 32 [19712/46200]	Loss: 0.3421	LR: 0.004000
Training Epoch: 32 [19968/46200]	Loss: 0.3234	LR: 0.004000
Training Epoch: 32 [20224/46200]	Loss: 0.3596	LR: 0.004000
Training Epoch: 32 [20480/46200]	Loss: 0.3513	LR: 0.004000
Training Epoch: 32 [20736/46200]	Loss: 0.3064	LR: 0.004000
Training Epoch: 32 [20992/46200]	Loss: 0.3260	LR: 0.004000
Training Epoch: 32 [21248/46200]	Loss: 0.3481	LR: 0.004000
Training Epoch: 32 [21504/46200]	Loss: 0.3101	LR: 0.004000
Training Epoch: 32 [21760/46200]	Loss: 0.2402	LR: 0.004000
Training Epoch: 32 [22016/46200]	Loss: 0.3102	LR: 0.004000
Training Epoch: 32 [22272/46200]	Loss: 0.3497	LR: 0.004000
Training Epoch: 32 [22528/46200]	Loss: 0.3375	LR: 0.004000
Training Epoch: 32 [22784/46200]	Loss: 0.3757	LR: 0.004000
Training Epoch: 32 [23040/46200]	Loss: 0.3062	LR: 0.004000
Training Epoch: 32 [23296/46200]	Loss: 0.3172	LR: 0.004000
Training Epoch: 32 [23552/46200]	Loss: 0.3040	LR: 0.004000
Training Epoch: 32 [23808/46200]	Loss: 0.3828	LR: 0.004000
Training Epoch: 32 [24064/46200]	Loss: 0.3478	LR: 0.004000
Training Epoch: 32 [24320/46200]	Loss: 0.3643	LR: 0.004000
Training Epoch: 32 [24576/46200]	Loss: 0.3557	LR: 0.004000
Training Epoch: 32 [24832/46200]	Loss: 0.3378	LR: 0.004000
Training Epoch: 32 [25088/46200]	Loss: 0.3821	LR: 0.004000
Training Epoch: 32 [25344/46200]	Loss: 0.3708	LR: 0.004000
Training Epoch: 32 [25600/46200]	Loss: 0.3198	LR: 0.004000
Training Epoch: 32 [25856/46200]	Loss: 0.3344	LR: 0.004000
Training Epoch: 32 [26112/46200]	Loss: 0.3736	LR: 0.004000
Training Epoch: 32 [26368/46200]	Loss: 0.4086	LR: 0.004000
Training Epoch: 32 [26624/46200]	Loss: 0.3575	LR: 0.004000
Training Epoch: 32 [26880/46200]	Loss: 0.3229	LR: 0.004000
Training Epoch: 32 [27136/46200]	Loss: 0.3951	LR: 0.004000
Training Epoch: 32 [27392/46200]	Loss: 0.3998	LR: 0.004000
Training Epoch: 32 [27648/46200]	Loss: 0.3770	LR: 0.004000
Training Epoch: 32 [27904/46200]	Loss: 0.3274	LR: 0.004000
Training Epoch: 32 [28160/46200]	Loss: 0.3451	LR: 0.004000
Training Epoch: 32 [28416/46200]	Loss: 0.3446	LR: 0.004000
Training Epoch: 32 [28672/46200]	Loss: 0.3177	LR: 0.004000
Training Epoch: 32 [28928/46200]	Loss: 0.3566	LR: 0.004000
Training Epoch: 32 [29184/46200]	Loss: 0.2295	LR: 0.004000
Training Epoch: 32 [29440/46200]	Loss: 0.3304	LR: 0.004000
Training Epoch: 32 [29696/46200]	Loss: 0.3794	LR: 0.004000
Training Epoch: 32 [29952/46200]	Loss: 0.4170	LR: 0.004000
Training Epoch: 32 [30208/46200]	Loss: 0.3188	LR: 0.004000
Training Epoch: 32 [30464/46200]	Loss: 0.3256	LR: 0.004000
Training Epoch: 32 [30720/46200]	Loss: 0.3006	LR: 0.004000
Training Epoch: 32 [30976/46200]	Loss: 0.3179	LR: 0.004000
Training Epoch: 32 [31232/46200]	Loss: 0.3066	LR: 0.004000
Training Epoch: 32 [31488/46200]	Loss: 0.3274	LR: 0.004000
Training Epoch: 32 [31744/46200]	Loss: 0.3382	LR: 0.004000
Training Epoch: 32 [32000/46200]	Loss: 0.3414	LR: 0.004000
Training Epoch: 32 [32256/46200]	Loss: 0.3362	LR: 0.004000
Training Epoch: 32 [32512/46200]	Loss: 0.3676	LR: 0.004000
Training Epoch: 32 [32768/46200]	Loss: 0.3315	LR: 0.004000
Training Epoch: 32 [33024/46200]	Loss: 0.4025	LR: 0.004000
Training Epoch: 32 [33280/46200]	Loss: 0.4835	LR: 0.004000
Training Epoch: 32 [33536/46200]	Loss: 0.3860	LR: 0.004000
Training Epoch: 32 [33792/46200]	Loss: 0.4021	LR: 0.004000
Training Epoch: 32 [34048/46200]	Loss: 0.3305	LR: 0.004000
Training Epoch: 32 [34304/46200]	Loss: 0.3271	LR: 0.004000
Training Epoch: 32 [34560/46200]	Loss: 0.2701	LR: 0.004000
Training Epoch: 32 [34816/46200]	Loss: 0.2918	LR: 0.004000
Training Epoch: 32 [35072/46200]	Loss: 0.3043	LR: 0.004000
Training Epoch: 32 [35328/46200]	Loss: 0.3945	LR: 0.004000
Training Epoch: 32 [35584/46200]	Loss: 0.3689	LR: 0.004000
Training Epoch: 32 [35840/46200]	Loss: 0.3826	LR: 0.004000
Training Epoch: 32 [36096/46200]	Loss: 0.3227	LR: 0.004000
Training Epoch: 32 [36352/46200]	Loss: 0.4428	LR: 0.004000
Training Epoch: 32 [36608/46200]	Loss: 0.3843	LR: 0.004000
Training Epoch: 32 [36864/46200]	Loss: 0.4027	LR: 0.004000
Training Epoch: 32 [37120/46200]	Loss: 0.4086	LR: 0.004000
Training Epoch: 32 [37376/46200]	Loss: 0.2852	LR: 0.004000
Training Epoch: 32 [37632/46200]	Loss: 0.3057	LR: 0.004000
Training Epoch: 32 [37888/46200]	Loss: 0.3465	LR: 0.004000
Training Epoch: 32 [38144/46200]	Loss: 0.2838	LR: 0.004000
Training Epoch: 32 [38400/46200]	Loss: 0.2908	LR: 0.004000
Training Epoch: 32 [38656/46200]	Loss: 0.2875	LR: 0.004000
Training Epoch: 32 [38912/46200]	Loss: 0.2582	LR: 0.004000
Training Epoch: 32 [39168/46200]	Loss: 0.3418	LR: 0.004000
Training Epoch: 32 [39424/46200]	Loss: 0.4033	LR: 0.004000
Training Epoch: 32 [39680/46200]	Loss: 0.2927	LR: 0.004000
Training Epoch: 32 [39936/46200]	Loss: 0.3641	LR: 0.004000
Training Epoch: 32 [40192/46200]	Loss: 0.3238	LR: 0.004000
Training Epoch: 32 [40448/46200]	Loss: 0.3671	LR: 0.004000
Training Epoch: 32 [40704/46200]	Loss: 0.3553	LR: 0.004000
Training Epoch: 32 [40960/46200]	Loss: 0.3267	LR: 0.004000
Training Epoch: 32 [41216/46200]	Loss: 0.3798	LR: 0.004000
Training Epoch: 32 [41472/46200]	Loss: 0.2591	LR: 0.004000
Training Epoch: 32 [41728/46200]	Loss: 0.2984	LR: 0.004000
Training Epoch: 32 [41984/46200]	Loss: 0.3199	LR: 0.004000
Training Epoch: 32 [42240/46200]	Loss: 0.4063	LR: 0.004000
Training Epoch: 32 [42496/46200]	Loss: 0.3467	LR: 0.004000
Training Epoch: 32 [42752/46200]	Loss: 0.4295	LR: 0.004000
Training Epoch: 32 [43008/46200]	Loss: 0.3592	LR: 0.004000
Training Epoch: 32 [43264/46200]	Loss: 0.3411	LR: 0.004000
Training Epoch: 32 [43520/46200]	Loss: 0.3916	LR: 0.004000
Training Epoch: 32 [43776/46200]	Loss: 0.3627	LR: 0.004000
Training Epoch: 32 [44032/46200]	Loss: 0.3632	LR: 0.004000
Training Epoch: 32 [44288/46200]	Loss: 0.3797	LR: 0.004000
Training Epoch: 32 [44544/46200]	Loss: 0.3914	LR: 0.004000
Training Epoch: 32 [44800/46200]	Loss: 0.3506	LR: 0.004000
Training Epoch: 32 [45056/46200]	Loss: 0.3210	LR: 0.004000
Training Epoch: 32 [45312/46200]	Loss: 0.2890	LR: 0.004000
Training Epoch: 32 [45568/46200]	Loss: 0.3058	LR: 0.004000
Training Epoch: 32 [45824/46200]	Loss: 0.3796	LR: 0.004000
Training Epoch: 32 [46080/46200]	Loss: 0.2389	LR: 0.004000
Training Epoch: 32 [46200/46200]	Loss: 0.5293	LR: 0.004000
Epoch 32 - Average Train Loss: 0.3412, Train Accuracy: 0.8957
Epoch 32 training time consumed: 25.07s
Evaluating Network.....
Test set: Epoch: 32, Average loss: 0.0030, Accuracy: 0.7790, Time consumed:0.89s
Training Epoch: 33 [256/46200]	Loss: 0.2762	LR: 0.004000
Training Epoch: 33 [512/46200]	Loss: 0.2734	LR: 0.004000
Training Epoch: 33 [768/46200]	Loss: 0.3273	LR: 0.004000
Training Epoch: 33 [1024/46200]	Loss: 0.3458	LR: 0.004000
Training Epoch: 33 [1280/46200]	Loss: 0.2874	LR: 0.004000
Training Epoch: 33 [1536/46200]	Loss: 0.3951	LR: 0.004000
Training Epoch: 33 [1792/46200]	Loss: 0.3317	LR: 0.004000
Training Epoch: 33 [2048/46200]	Loss: 0.2809	LR: 0.004000
Training Epoch: 33 [2304/46200]	Loss: 0.2745	LR: 0.004000
Training Epoch: 33 [2560/46200]	Loss: 0.2681	LR: 0.004000
Training Epoch: 33 [2816/46200]	Loss: 0.3239	LR: 0.004000
Training Epoch: 33 [3072/46200]	Loss: 0.3345	LR: 0.004000
Training Epoch: 33 [3328/46200]	Loss: 0.3105	LR: 0.004000
Training Epoch: 33 [3584/46200]	Loss: 0.2912	LR: 0.004000
Training Epoch: 33 [3840/46200]	Loss: 0.3374	LR: 0.004000
Training Epoch: 33 [4096/46200]	Loss: 0.3271	LR: 0.004000
Training Epoch: 33 [4352/46200]	Loss: 0.2998	LR: 0.004000
Training Epoch: 33 [4608/46200]	Loss: 0.3323	LR: 0.004000
Training Epoch: 33 [4864/46200]	Loss: 0.2971	LR: 0.004000
Training Epoch: 33 [5120/46200]	Loss: 0.3550	LR: 0.004000
Training Epoch: 33 [5376/46200]	Loss: 0.4171	LR: 0.004000
Training Epoch: 33 [5632/46200]	Loss: 0.3377	LR: 0.004000
Training Epoch: 33 [5888/46200]	Loss: 0.2568	LR: 0.004000
Training Epoch: 33 [6144/46200]	Loss: 0.3681	LR: 0.004000
Training Epoch: 33 [6400/46200]	Loss: 0.3168	LR: 0.004000
Training Epoch: 33 [6656/46200]	Loss: 0.2799	LR: 0.004000
Training Epoch: 33 [6912/46200]	Loss: 0.3443	LR: 0.004000
Training Epoch: 33 [7168/46200]	Loss: 0.3108	LR: 0.004000
Training Epoch: 33 [7424/46200]	Loss: 0.2901	LR: 0.004000
Training Epoch: 33 [7680/46200]	Loss: 0.2873	LR: 0.004000
Training Epoch: 33 [7936/46200]	Loss: 0.3897	LR: 0.004000
Training Epoch: 33 [8192/46200]	Loss: 0.3430	LR: 0.004000
Training Epoch: 33 [8448/46200]	Loss: 0.3745	LR: 0.004000
Training Epoch: 33 [8704/46200]	Loss: 0.3390	LR: 0.004000
Training Epoch: 33 [8960/46200]	Loss: 0.3265	LR: 0.004000
Training Epoch: 33 [9216/46200]	Loss: 0.2525	LR: 0.004000
Training Epoch: 33 [9472/46200]	Loss: 0.3297	LR: 0.004000
Training Epoch: 33 [9728/46200]	Loss: 0.3197	LR: 0.004000
Training Epoch: 33 [9984/46200]	Loss: 0.3414	LR: 0.004000
Training Epoch: 33 [10240/46200]	Loss: 0.3323	LR: 0.004000
Training Epoch: 33 [10496/46200]	Loss: 0.3206	LR: 0.004000
Training Epoch: 33 [10752/46200]	Loss: 0.4209	LR: 0.004000
Training Epoch: 33 [11008/46200]	Loss: 0.3413	LR: 0.004000
Training Epoch: 33 [11264/46200]	Loss: 0.3331	LR: 0.004000
Training Epoch: 33 [11520/46200]	Loss: 0.3666	LR: 0.004000
Training Epoch: 33 [11776/46200]	Loss: 0.3086	LR: 0.004000
Training Epoch: 33 [12032/46200]	Loss: 0.3952	LR: 0.004000
Training Epoch: 33 [12288/46200]	Loss: 0.3565	LR: 0.004000
Training Epoch: 33 [12544/46200]	Loss: 0.3934	LR: 0.004000
Training Epoch: 33 [12800/46200]	Loss: 0.3224	LR: 0.004000
Training Epoch: 33 [13056/46200]	Loss: 0.3851	LR: 0.004000
Training Epoch: 33 [13312/46200]	Loss: 0.3261	LR: 0.004000
Training Epoch: 33 [13568/46200]	Loss: 0.2914	LR: 0.004000
Training Epoch: 33 [13824/46200]	Loss: 0.3494	LR: 0.004000
Training Epoch: 33 [14080/46200]	Loss: 0.3165	LR: 0.004000
Training Epoch: 33 [14336/46200]	Loss: 0.3664	LR: 0.004000
Training Epoch: 33 [14592/46200]	Loss: 0.3474	LR: 0.004000
Training Epoch: 33 [14848/46200]	Loss: 0.3013	LR: 0.004000
Training Epoch: 33 [15104/46200]	Loss: 0.3366	LR: 0.004000
Training Epoch: 33 [15360/46200]	Loss: 0.3588	LR: 0.004000
Training Epoch: 33 [15616/46200]	Loss: 0.2793	LR: 0.004000
Training Epoch: 33 [15872/46200]	Loss: 0.2595	LR: 0.004000
Training Epoch: 33 [16128/46200]	Loss: 0.3926	LR: 0.004000
Training Epoch: 33 [16384/46200]	Loss: 0.3397	LR: 0.004000
Training Epoch: 33 [16640/46200]	Loss: 0.3409	LR: 0.004000
Training Epoch: 33 [16896/46200]	Loss: 0.2773	LR: 0.004000
Training Epoch: 33 [17152/46200]	Loss: 0.4304	LR: 0.004000
Training Epoch: 33 [17408/46200]	Loss: 0.3949	LR: 0.004000
Training Epoch: 33 [17664/46200]	Loss: 0.2758	LR: 0.004000
Training Epoch: 33 [17920/46200]	Loss: 0.2878	LR: 0.004000
Training Epoch: 33 [18176/46200]	Loss: 0.2861	LR: 0.004000
Training Epoch: 33 [18432/46200]	Loss: 0.3068	LR: 0.004000
Training Epoch: 33 [18688/46200]	Loss: 0.3406	LR: 0.004000
Training Epoch: 33 [18944/46200]	Loss: 0.3722	LR: 0.004000
Training Epoch: 33 [19200/46200]	Loss: 0.3819	LR: 0.004000
Training Epoch: 33 [19456/46200]	Loss: 0.2517	LR: 0.004000
Training Epoch: 33 [19712/46200]	Loss: 0.2994	LR: 0.004000
Training Epoch: 33 [19968/46200]	Loss: 0.3167	LR: 0.004000
Training Epoch: 33 [20224/46200]	Loss: 0.3219	LR: 0.004000
Training Epoch: 33 [20480/46200]	Loss: 0.3358	LR: 0.004000
Training Epoch: 33 [20736/46200]	Loss: 0.3786	LR: 0.004000
Training Epoch: 33 [20992/46200]	Loss: 0.2845	LR: 0.004000
Training Epoch: 33 [21248/46200]	Loss: 0.2926	LR: 0.004000
Training Epoch: 33 [21504/46200]	Loss: 0.4056	LR: 0.004000
Training Epoch: 33 [21760/46200]	Loss: 0.3141	LR: 0.004000
Training Epoch: 33 [22016/46200]	Loss: 0.3921	LR: 0.004000
Training Epoch: 33 [22272/46200]	Loss: 0.3452	LR: 0.004000
Training Epoch: 33 [22528/46200]	Loss: 0.2523	LR: 0.004000
Training Epoch: 33 [22784/46200]	Loss: 0.3841	LR: 0.004000
Training Epoch: 33 [23040/46200]	Loss: 0.3511	LR: 0.004000
Training Epoch: 33 [23296/46200]	Loss: 0.2519	LR: 0.004000
Training Epoch: 33 [23552/46200]	Loss: 0.3052	LR: 0.004000
Training Epoch: 33 [23808/46200]	Loss: 0.2874	LR: 0.004000
Training Epoch: 33 [24064/46200]	Loss: 0.3179	LR: 0.004000
Training Epoch: 33 [24320/46200]	Loss: 0.2685	LR: 0.004000
Training Epoch: 33 [24576/46200]	Loss: 0.3445	LR: 0.004000
Training Epoch: 33 [24832/46200]	Loss: 0.3156	LR: 0.004000
Training Epoch: 33 [25088/46200]	Loss: 0.3564	LR: 0.004000
Training Epoch: 33 [25344/46200]	Loss: 0.3638	LR: 0.004000
Training Epoch: 33 [25600/46200]	Loss: 0.2713	LR: 0.004000
Training Epoch: 33 [25856/46200]	Loss: 0.3239	LR: 0.004000
Training Epoch: 33 [26112/46200]	Loss: 0.3634	LR: 0.004000
Training Epoch: 33 [26368/46200]	Loss: 0.3004	LR: 0.004000
Training Epoch: 33 [26624/46200]	Loss: 0.3670	LR: 0.004000
Training Epoch: 33 [26880/46200]	Loss: 0.3687	LR: 0.004000
Training Epoch: 33 [27136/46200]	Loss: 0.3451	LR: 0.004000
Training Epoch: 33 [27392/46200]	Loss: 0.3411	LR: 0.004000
Training Epoch: 33 [27648/46200]	Loss: 0.3065	LR: 0.004000
Training Epoch: 33 [27904/46200]	Loss: 0.3258	LR: 0.004000
Training Epoch: 33 [28160/46200]	Loss: 0.3984	LR: 0.004000
Training Epoch: 33 [28416/46200]	Loss: 0.3186	LR: 0.004000
Training Epoch: 33 [28672/46200]	Loss: 0.3619	LR: 0.004000
Training Epoch: 33 [28928/46200]	Loss: 0.3106	LR: 0.004000
Training Epoch: 33 [29184/46200]	Loss: 0.3390	LR: 0.004000
Training Epoch: 33 [29440/46200]	Loss: 0.3401	LR: 0.004000
Training Epoch: 33 [29696/46200]	Loss: 0.3976	LR: 0.004000
Training Epoch: 33 [29952/46200]	Loss: 0.3660	LR: 0.004000
Training Epoch: 33 [30208/46200]	Loss: 0.3604	LR: 0.004000
Training Epoch: 33 [30464/46200]	Loss: 0.3718	LR: 0.004000
Training Epoch: 33 [30720/46200]	Loss: 0.3232	LR: 0.004000
Training Epoch: 33 [30976/46200]	Loss: 0.3408	LR: 0.004000
Training Epoch: 33 [31232/46200]	Loss: 0.2821	LR: 0.004000
Training Epoch: 33 [31488/46200]	Loss: 0.3206	LR: 0.004000
Training Epoch: 33 [31744/46200]	Loss: 0.3150	LR: 0.004000
Training Epoch: 33 [32000/46200]	Loss: 0.3307	LR: 0.004000
Training Epoch: 33 [32256/46200]	Loss: 0.3154	LR: 0.004000
Training Epoch: 33 [32512/46200]	Loss: 0.3840	LR: 0.004000
Training Epoch: 33 [32768/46200]	Loss: 0.3434	LR: 0.004000
Training Epoch: 33 [33024/46200]	Loss: 0.3247	LR: 0.004000
Training Epoch: 33 [33280/46200]	Loss: 0.3283	LR: 0.004000
Training Epoch: 33 [33536/46200]	Loss: 0.3937	LR: 0.004000
Training Epoch: 33 [33792/46200]	Loss: 0.2663	LR: 0.004000
Training Epoch: 33 [34048/46200]	Loss: 0.3000	LR: 0.004000
Training Epoch: 33 [34304/46200]	Loss: 0.3709	LR: 0.004000
Training Epoch: 33 [34560/46200]	Loss: 0.3230	LR: 0.004000
Training Epoch: 33 [34816/46200]	Loss: 0.3017	LR: 0.004000
Training Epoch: 33 [35072/46200]	Loss: 0.3099	LR: 0.004000
Training Epoch: 33 [35328/46200]	Loss: 0.3969	LR: 0.004000
Training Epoch: 33 [35584/46200]	Loss: 0.3184	LR: 0.004000
Training Epoch: 33 [35840/46200]	Loss: 0.3399	LR: 0.004000
Training Epoch: 33 [36096/46200]	Loss: 0.3352	LR: 0.004000
Training Epoch: 33 [36352/46200]	Loss: 0.3631	LR: 0.004000
Training Epoch: 33 [36608/46200]	Loss: 0.3064	LR: 0.004000
Training Epoch: 33 [36864/46200]	Loss: 0.3749	LR: 0.004000
Training Epoch: 33 [37120/46200]	Loss: 0.3391	LR: 0.004000
Training Epoch: 33 [37376/46200]	Loss: 0.3533	LR: 0.004000
Training Epoch: 33 [37632/46200]	Loss: 0.2814	LR: 0.004000
Training Epoch: 33 [37888/46200]	Loss: 0.2726	LR: 0.004000
Training Epoch: 33 [38144/46200]	Loss: 0.3786	LR: 0.004000
Training Epoch: 33 [38400/46200]	Loss: 0.3511	LR: 0.004000
Training Epoch: 33 [38656/46200]	Loss: 0.3636	LR: 0.004000
Training Epoch: 33 [38912/46200]	Loss: 0.3319	LR: 0.004000
Training Epoch: 33 [39168/46200]	Loss: 0.3776	LR: 0.004000
Training Epoch: 33 [39424/46200]	Loss: 0.3772	LR: 0.004000
Training Epoch: 33 [39680/46200]	Loss: 0.3393	LR: 0.004000
Training Epoch: 33 [39936/46200]	Loss: 0.3705	LR: 0.004000
Training Epoch: 33 [40192/46200]	Loss: 0.3769	LR: 0.004000
Training Epoch: 33 [40448/46200]	Loss: 0.3271	LR: 0.004000
Training Epoch: 33 [40704/46200]	Loss: 0.3158	LR: 0.004000
Training Epoch: 33 [40960/46200]	Loss: 0.3705	LR: 0.004000
Training Epoch: 33 [41216/46200]	Loss: 0.2543	LR: 0.004000
Training Epoch: 33 [41472/46200]	Loss: 0.3453	LR: 0.004000
Training Epoch: 33 [41728/46200]	Loss: 0.3043	LR: 0.004000
Training Epoch: 33 [41984/46200]	Loss: 0.3642	LR: 0.004000
Training Epoch: 33 [42240/46200]	Loss: 0.2992	LR: 0.004000
Training Epoch: 33 [42496/46200]	Loss: 0.3331	LR: 0.004000
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Training Epoch: 33 [43008/46200]	Loss: 0.2994	LR: 0.004000
Training Epoch: 33 [43264/46200]	Loss: 0.3655	LR: 0.004000
Training Epoch: 33 [43520/46200]	Loss: 0.3185	LR: 0.004000
Training Epoch: 33 [43776/46200]	Loss: 0.3880	LR: 0.004000
Training Epoch: 33 [44032/46200]	Loss: 0.3034	LR: 0.004000
Training Epoch: 33 [44288/46200]	Loss: 0.4341	LR: 0.004000
Training Epoch: 33 [44544/46200]	Loss: 0.4420	LR: 0.004000
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Training Epoch: 33 [45056/46200]	Loss: 0.3107	LR: 0.004000
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Training Epoch: 33 [45824/46200]	Loss: 0.3495	LR: 0.004000
Training Epoch: 33 [46080/46200]	Loss: 0.4352	LR: 0.004000
Training Epoch: 33 [46200/46200]	Loss: 0.3398	LR: 0.004000
Epoch 33 - Average Train Loss: 0.3331, Train Accuracy: 0.8990
Epoch 33 training time consumed: 25.05s
Evaluating Network.....
Test set: Epoch: 33, Average loss: 0.0030, Accuracy: 0.7773, Time consumed:0.86s
Training Epoch: 34 [256/46200]	Loss: 0.3007	LR: 0.004000
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Training Epoch: 34 [20224/46200]	Loss: 0.3502	LR: 0.004000
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Training Epoch: 34 [43264/46200]	Loss: 0.2663	LR: 0.004000
Training Epoch: 34 [43520/46200]	Loss: 0.2989	LR: 0.004000
Training Epoch: 34 [43776/46200]	Loss: 0.3881	LR: 0.004000
Training Epoch: 34 [44032/46200]	Loss: 0.3024	LR: 0.004000
Training Epoch: 34 [44288/46200]	Loss: 0.3104	LR: 0.004000
Training Epoch: 34 [44544/46200]	Loss: 0.3008	LR: 0.004000
Training Epoch: 34 [44800/46200]	Loss: 0.3718	LR: 0.004000
Training Epoch: 34 [45056/46200]	Loss: 0.3499	LR: 0.004000
Training Epoch: 34 [45312/46200]	Loss: 0.2718	LR: 0.004000
Training Epoch: 34 [45568/46200]	Loss: 0.3552	LR: 0.004000
Training Epoch: 34 [45824/46200]	Loss: 0.2658	LR: 0.004000
Training Epoch: 34 [46080/46200]	Loss: 0.3491	LR: 0.004000
Training Epoch: 34 [46200/46200]	Loss: 0.2935	LR: 0.004000
Epoch 34 - Average Train Loss: 0.3221, Train Accuracy: 0.9020
Epoch 34 training time consumed: 25.16s
Evaluating Network.....
Test set: Epoch: 34, Average loss: 0.0030, Accuracy: 0.7792, Time consumed:0.96s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_19h_22m_35s/AllCNN-Cifar20-seed10-ret25-34-best.pth
Training Epoch: 35 [256/46200]	Loss: 0.2986	LR: 0.000800
Training Epoch: 35 [512/46200]	Loss: 0.3349	LR: 0.000800
Training Epoch: 35 [768/46200]	Loss: 0.3078	LR: 0.000800
Training Epoch: 35 [1024/46200]	Loss: 0.2852	LR: 0.000800
Training Epoch: 35 [1280/46200]	Loss: 0.3188	LR: 0.000800
Training Epoch: 35 [1536/46200]	Loss: 0.3333	LR: 0.000800
Training Epoch: 35 [1792/46200]	Loss: 0.3602	LR: 0.000800
Training Epoch: 35 [2048/46200]	Loss: 0.3122	LR: 0.000800
Training Epoch: 35 [2304/46200]	Loss: 0.2871	LR: 0.000800
Training Epoch: 35 [2560/46200]	Loss: 0.4155	LR: 0.000800
Training Epoch: 35 [2816/46200]	Loss: 0.2024	LR: 0.000800
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Training Epoch: 35 [3328/46200]	Loss: 0.2924	LR: 0.000800
Training Epoch: 35 [3584/46200]	Loss: 0.3310	LR: 0.000800
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Training Epoch: 35 [5888/46200]	Loss: 0.2551	LR: 0.000800
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Training Epoch: 35 [25856/46200]	Loss: 0.2629	LR: 0.000800
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Training Epoch: 35 [41728/46200]	Loss: 0.3332	LR: 0.000800
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Training Epoch: 35 [42240/46200]	Loss: 0.2844	LR: 0.000800
Training Epoch: 35 [42496/46200]	Loss: 0.3795	LR: 0.000800
Training Epoch: 35 [42752/46200]	Loss: 0.3354	LR: 0.000800
Training Epoch: 35 [43008/46200]	Loss: 0.2972	LR: 0.000800
Training Epoch: 35 [43264/46200]	Loss: 0.2898	LR: 0.000800
Training Epoch: 35 [43520/46200]	Loss: 0.2702	LR: 0.000800
Training Epoch: 35 [43776/46200]	Loss: 0.3259	LR: 0.000800
Training Epoch: 35 [44032/46200]	Loss: 0.3321	LR: 0.000800
Training Epoch: 35 [44288/46200]	Loss: 0.3225	LR: 0.000800
Training Epoch: 35 [44544/46200]	Loss: 0.2577	LR: 0.000800
Training Epoch: 35 [44800/46200]	Loss: 0.2632	LR: 0.000800
Training Epoch: 35 [45056/46200]	Loss: 0.3199	LR: 0.000800
Training Epoch: 35 [45312/46200]	Loss: 0.2881	LR: 0.000800
Training Epoch: 35 [45568/46200]	Loss: 0.2976	LR: 0.000800
Training Epoch: 35 [45824/46200]	Loss: 0.2931	LR: 0.000800
Training Epoch: 35 [46080/46200]	Loss: 0.2872	LR: 0.000800
Training Epoch: 35 [46200/46200]	Loss: 0.3109	LR: 0.000800
Epoch 35 - Average Train Loss: 0.3023, Train Accuracy: 0.9082
Epoch 35 training time consumed: 25.05s
Evaluating Network.....
Test set: Epoch: 35, Average loss: 0.0030, Accuracy: 0.7840, Time consumed:0.88s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_19h_22m_35s/AllCNN-Cifar20-seed10-ret25-35-best.pth
Training Epoch: 36 [256/46200]	Loss: 0.3118	LR: 0.000800
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Training Epoch: 36 [1536/46200]	Loss: 0.2319	LR: 0.000800
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Training Epoch: 36 [42496/46200]	Loss: 0.3583	LR: 0.000800
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Training Epoch: 36 [43520/46200]	Loss: 0.3058	LR: 0.000800
Training Epoch: 36 [43776/46200]	Loss: 0.3120	LR: 0.000800
Training Epoch: 36 [44032/46200]	Loss: 0.2948	LR: 0.000800
Training Epoch: 36 [44288/46200]	Loss: 0.3177	LR: 0.000800
Training Epoch: 36 [44544/46200]	Loss: 0.2831	LR: 0.000800
Training Epoch: 36 [44800/46200]	Loss: 0.3307	LR: 0.000800
Training Epoch: 36 [45056/46200]	Loss: 0.3177	LR: 0.000800
Training Epoch: 36 [45312/46200]	Loss: 0.3623	LR: 0.000800
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Training Epoch: 36 [45824/46200]	Loss: 0.2665	LR: 0.000800
Training Epoch: 36 [46080/46200]	Loss: 0.3167	LR: 0.000800
Training Epoch: 36 [46200/46200]	Loss: 0.3521	LR: 0.000800
Epoch 36 - Average Train Loss: 0.2939, Train Accuracy: 0.9116
Epoch 36 training time consumed: 25.03s
Evaluating Network.....
Test set: Epoch: 36, Average loss: 0.0030, Accuracy: 0.7839, Time consumed:0.90s
Training Epoch: 37 [256/46200]	Loss: 0.3173	LR: 0.000800
Training Epoch: 37 [512/46200]	Loss: 0.3142	LR: 0.000800
Training Epoch: 37 [768/46200]	Loss: 0.3310	LR: 0.000800
Training Epoch: 37 [1024/46200]	Loss: 0.2708	LR: 0.000800
Training Epoch: 37 [1280/46200]	Loss: 0.2839	LR: 0.000800
Training Epoch: 37 [1536/46200]	Loss: 0.2559	LR: 0.000800
Training Epoch: 37 [1792/46200]	Loss: 0.2908	LR: 0.000800
Training Epoch: 37 [2048/46200]	Loss: 0.3144	LR: 0.000800
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Training Epoch: 37 [2560/46200]	Loss: 0.2486	LR: 0.000800
Training Epoch: 37 [2816/46200]	Loss: 0.2728	LR: 0.000800
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Training Epoch: 37 [3840/46200]	Loss: 0.2967	LR: 0.000800
Training Epoch: 37 [4096/46200]	Loss: 0.3319	LR: 0.000800
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Training Epoch: 37 [5632/46200]	Loss: 0.2901	LR: 0.000800
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Training Epoch: 37 [43776/46200]	Loss: 0.2631	LR: 0.000800
Training Epoch: 37 [44032/46200]	Loss: 0.3458	LR: 0.000800
Training Epoch: 37 [44288/46200]	Loss: 0.3495	LR: 0.000800
Training Epoch: 37 [44544/46200]	Loss: 0.3119	LR: 0.000800
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Training Epoch: 37 [45056/46200]	Loss: 0.2863	LR: 0.000800
Training Epoch: 37 [45312/46200]	Loss: 0.2983	LR: 0.000800
Training Epoch: 37 [45568/46200]	Loss: 0.2437	LR: 0.000800
Training Epoch: 37 [45824/46200]	Loss: 0.2653	LR: 0.000800
Training Epoch: 37 [46080/46200]	Loss: 0.2485	LR: 0.000800
Training Epoch: 37 [46200/46200]	Loss: 0.2697	LR: 0.000800
Epoch 37 - Average Train Loss: 0.2911, Train Accuracy: 0.9137
Epoch 37 training time consumed: 25.05s
Evaluating Network.....
Test set: Epoch: 37, Average loss: 0.0030, Accuracy: 0.7855, Time consumed:0.87s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_19h_22m_35s/AllCNN-Cifar20-seed10-ret25-37-best.pth
Training Epoch: 38 [256/46200]	Loss: 0.2743	LR: 0.000800
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Training Epoch: 38 [32512/46200]	Loss: 0.2706	LR: 0.000800
Training Epoch: 38 [32768/46200]	Loss: 0.2192	LR: 0.000800
Training Epoch: 38 [33024/46200]	Loss: 0.2979	LR: 0.000800
Training Epoch: 38 [33280/46200]	Loss: 0.3553	LR: 0.000800
Training Epoch: 38 [33536/46200]	Loss: 0.3124	LR: 0.000800
Training Epoch: 38 [33792/46200]	Loss: 0.3065	LR: 0.000800
Training Epoch: 38 [34048/46200]	Loss: 0.3030	LR: 0.000800
Training Epoch: 38 [34304/46200]	Loss: 0.2843	LR: 0.000800
Training Epoch: 38 [34560/46200]	Loss: 0.3057	LR: 0.000800
Training Epoch: 38 [34816/46200]	Loss: 0.3037	LR: 0.000800
Training Epoch: 38 [35072/46200]	Loss: 0.3255	LR: 0.000800
Training Epoch: 38 [35328/46200]	Loss: 0.3197	LR: 0.000800
Training Epoch: 38 [35584/46200]	Loss: 0.2990	LR: 0.000800
Training Epoch: 38 [35840/46200]	Loss: 0.3203	LR: 0.000800
Training Epoch: 38 [36096/46200]	Loss: 0.2378	LR: 0.000800
Training Epoch: 38 [36352/46200]	Loss: 0.2859	LR: 0.000800
Training Epoch: 38 [36608/46200]	Loss: 0.3048	LR: 0.000800
Training Epoch: 38 [36864/46200]	Loss: 0.2862	LR: 0.000800
Training Epoch: 38 [37120/46200]	Loss: 0.3149	LR: 0.000800
Training Epoch: 38 [37376/46200]	Loss: 0.2994	LR: 0.000800
Training Epoch: 38 [37632/46200]	Loss: 0.2959	LR: 0.000800
Training Epoch: 38 [37888/46200]	Loss: 0.3291	LR: 0.000800
Training Epoch: 38 [38144/46200]	Loss: 0.2796	LR: 0.000800
Training Epoch: 38 [38400/46200]	Loss: 0.3015	LR: 0.000800
Training Epoch: 38 [38656/46200]	Loss: 0.3445	LR: 0.000800
Training Epoch: 38 [38912/46200]	Loss: 0.3159	LR: 0.000800
Training Epoch: 38 [39168/46200]	Loss: 0.2391	LR: 0.000800
Training Epoch: 38 [39424/46200]	Loss: 0.3343	LR: 0.000800
Training Epoch: 38 [39680/46200]	Loss: 0.2572	LR: 0.000800
Training Epoch: 38 [39936/46200]	Loss: 0.3752	LR: 0.000800
Training Epoch: 38 [40192/46200]	Loss: 0.2576	LR: 0.000800
Training Epoch: 38 [40448/46200]	Loss: 0.2454	LR: 0.000800
Training Epoch: 38 [40704/46200]	Loss: 0.2791	LR: 0.000800
Training Epoch: 38 [40960/46200]	Loss: 0.2418	LR: 0.000800
Training Epoch: 38 [41216/46200]	Loss: 0.3339	LR: 0.000800
Training Epoch: 38 [41472/46200]	Loss: 0.3109	LR: 0.000800
Training Epoch: 38 [41728/46200]	Loss: 0.3508	LR: 0.000800
Training Epoch: 38 [41984/46200]	Loss: 0.2814	LR: 0.000800
Training Epoch: 38 [42240/46200]	Loss: 0.2617	LR: 0.000800
Training Epoch: 38 [42496/46200]	Loss: 0.2634	LR: 0.000800
Training Epoch: 38 [42752/46200]	Loss: 0.2690	LR: 0.000800
Training Epoch: 38 [43008/46200]	Loss: 0.2832	LR: 0.000800
Training Epoch: 38 [43264/46200]	Loss: 0.2649	LR: 0.000800
Training Epoch: 38 [43520/46200]	Loss: 0.2970	LR: 0.000800
Training Epoch: 38 [43776/46200]	Loss: 0.2780	LR: 0.000800
Training Epoch: 38 [44032/46200]	Loss: 0.3602	LR: 0.000800
Training Epoch: 38 [44288/46200]	Loss: 0.3244	LR: 0.000800
Training Epoch: 38 [44544/46200]	Loss: 0.2653	LR: 0.000800
Training Epoch: 38 [44800/46200]	Loss: 0.2849	LR: 0.000800
Training Epoch: 38 [45056/46200]	Loss: 0.2315	LR: 0.000800
Training Epoch: 38 [45312/46200]	Loss: 0.2756	LR: 0.000800
Training Epoch: 38 [45568/46200]	Loss: 0.3361	LR: 0.000800
Training Epoch: 38 [45824/46200]	Loss: 0.3043	LR: 0.000800
Training Epoch: 38 [46080/46200]	Loss: 0.2942	LR: 0.000800
Training Epoch: 38 [46200/46200]	Loss: 0.3197	LR: 0.000800
Epoch 38 - Average Train Loss: 0.2895, Train Accuracy: 0.9133
Epoch 38 training time consumed: 25.43s
Evaluating Network.....
Test set: Epoch: 38, Average loss: 0.0030, Accuracy: 0.7850, Time consumed:0.88s
Training Epoch: 39 [256/46200]	Loss: 0.2615	LR: 0.000800
Training Epoch: 39 [512/46200]	Loss: 0.2719	LR: 0.000800
Training Epoch: 39 [768/46200]	Loss: 0.2542	LR: 0.000800
Training Epoch: 39 [1024/46200]	Loss: 0.2356	LR: 0.000800
Training Epoch: 39 [1280/46200]	Loss: 0.2880	LR: 0.000800
Training Epoch: 39 [1536/46200]	Loss: 0.3275	LR: 0.000800
Training Epoch: 39 [1792/46200]	Loss: 0.2978	LR: 0.000800
Training Epoch: 39 [2048/46200]	Loss: 0.2979	LR: 0.000800
Training Epoch: 39 [2304/46200]	Loss: 0.2402	LR: 0.000800
Training Epoch: 39 [2560/46200]	Loss: 0.3253	LR: 0.000800
Training Epoch: 39 [2816/46200]	Loss: 0.2982	LR: 0.000800
Training Epoch: 39 [3072/46200]	Loss: 0.2155	LR: 0.000800
Training Epoch: 39 [3328/46200]	Loss: 0.3012	LR: 0.000800
Training Epoch: 39 [3584/46200]	Loss: 0.2624	LR: 0.000800
Training Epoch: 39 [3840/46200]	Loss: 0.2651	LR: 0.000800
Training Epoch: 39 [4096/46200]	Loss: 0.2821	LR: 0.000800
Training Epoch: 39 [4352/46200]	Loss: 0.3084	LR: 0.000800
Training Epoch: 39 [4608/46200]	Loss: 0.2390	LR: 0.000800
Training Epoch: 39 [4864/46200]	Loss: 0.3874	LR: 0.000800
Training Epoch: 39 [5120/46200]	Loss: 0.2319	LR: 0.000800
Training Epoch: 39 [5376/46200]	Loss: 0.3036	LR: 0.000800
Training Epoch: 39 [5632/46200]	Loss: 0.2657	LR: 0.000800
Training Epoch: 39 [5888/46200]	Loss: 0.2837	LR: 0.000800
Training Epoch: 39 [6144/46200]	Loss: 0.3432	LR: 0.000800
Training Epoch: 39 [6400/46200]	Loss: 0.2661	LR: 0.000800
Training Epoch: 39 [6656/46200]	Loss: 0.3143	LR: 0.000800
Training Epoch: 39 [6912/46200]	Loss: 0.3340	LR: 0.000800
Training Epoch: 39 [7168/46200]	Loss: 0.2793	LR: 0.000800
Training Epoch: 39 [7424/46200]	Loss: 0.2610	LR: 0.000800
Training Epoch: 39 [7680/46200]	Loss: 0.2624	LR: 0.000800
Training Epoch: 39 [7936/46200]	Loss: 0.2498	LR: 0.000800
Training Epoch: 39 [8192/46200]	Loss: 0.3003	LR: 0.000800
Training Epoch: 39 [8448/46200]	Loss: 0.2629	LR: 0.000800
Training Epoch: 39 [8704/46200]	Loss: 0.3494	LR: 0.000800
Training Epoch: 39 [8960/46200]	Loss: 0.2493	LR: 0.000800
Training Epoch: 39 [9216/46200]	Loss: 0.2480	LR: 0.000800
Training Epoch: 39 [9472/46200]	Loss: 0.2692	LR: 0.000800
Training Epoch: 39 [9728/46200]	Loss: 0.2660	LR: 0.000800
Training Epoch: 39 [9984/46200]	Loss: 0.2409	LR: 0.000800
Training Epoch: 39 [10240/46200]	Loss: 0.2249	LR: 0.000800
Training Epoch: 39 [10496/46200]	Loss: 0.2855	LR: 0.000800
Training Epoch: 39 [10752/46200]	Loss: 0.3108	LR: 0.000800
Training Epoch: 39 [11008/46200]	Loss: 0.2631	LR: 0.000800
Training Epoch: 39 [11264/46200]	Loss: 0.2653	LR: 0.000800
Training Epoch: 39 [11520/46200]	Loss: 0.2759	LR: 0.000800
Training Epoch: 39 [11776/46200]	Loss: 0.2983	LR: 0.000800
Training Epoch: 39 [12032/46200]	Loss: 0.2725	LR: 0.000800
Training Epoch: 39 [12288/46200]	Loss: 0.2823	LR: 0.000800
Training Epoch: 39 [12544/46200]	Loss: 0.2952	LR: 0.000800
Training Epoch: 39 [12800/46200]	Loss: 0.2802	LR: 0.000800
Training Epoch: 39 [13056/46200]	Loss: 0.3202	LR: 0.000800
Training Epoch: 39 [13312/46200]	Loss: 0.3355	LR: 0.000800
Training Epoch: 39 [13568/46200]	Loss: 0.2350	LR: 0.000800
Training Epoch: 39 [13824/46200]	Loss: 0.2581	LR: 0.000800
Training Epoch: 39 [14080/46200]	Loss: 0.2640	LR: 0.000800
Training Epoch: 39 [14336/46200]	Loss: 0.3347	LR: 0.000800
Training Epoch: 39 [14592/46200]	Loss: 0.2143	LR: 0.000800
Training Epoch: 39 [14848/46200]	Loss: 0.3171	LR: 0.000800
Training Epoch: 39 [15104/46200]	Loss: 0.2922	LR: 0.000800
Training Epoch: 39 [15360/46200]	Loss: 0.2537	LR: 0.000800
Training Epoch: 39 [15616/46200]	Loss: 0.2762	LR: 0.000800
Training Epoch: 39 [15872/46200]	Loss: 0.3342	LR: 0.000800
Training Epoch: 39 [16128/46200]	Loss: 0.2796	LR: 0.000800
Training Epoch: 39 [16384/46200]	Loss: 0.2942	LR: 0.000800
Training Epoch: 39 [16640/46200]	Loss: 0.3047	LR: 0.000800
Training Epoch: 39 [16896/46200]	Loss: 0.3118	LR: 0.000800
Training Epoch: 39 [17152/46200]	Loss: 0.2518	LR: 0.000800
Training Epoch: 39 [17408/46200]	Loss: 0.3400	LR: 0.000800
Training Epoch: 39 [17664/46200]	Loss: 0.2109	LR: 0.000800
Training Epoch: 39 [17920/46200]	Loss: 0.2542	LR: 0.000800
Training Epoch: 39 [18176/46200]	Loss: 0.2662	LR: 0.000800
Training Epoch: 39 [18432/46200]	Loss: 0.2745	LR: 0.000800
Training Epoch: 39 [18688/46200]	Loss: 0.3051	LR: 0.000800
Training Epoch: 39 [18944/46200]	Loss: 0.2257	LR: 0.000800
Training Epoch: 39 [19200/46200]	Loss: 0.2524	LR: 0.000800
Training Epoch: 39 [19456/46200]	Loss: 0.2424	LR: 0.000800
Training Epoch: 39 [19712/46200]	Loss: 0.3222	LR: 0.000800
Training Epoch: 39 [19968/46200]	Loss: 0.2781	LR: 0.000800
Training Epoch: 39 [20224/46200]	Loss: 0.3229	LR: 0.000800
Training Epoch: 39 [20480/46200]	Loss: 0.3162	LR: 0.000800
Training Epoch: 39 [20736/46200]	Loss: 0.2412	LR: 0.000800
Training Epoch: 39 [20992/46200]	Loss: 0.2738	LR: 0.000800
Training Epoch: 39 [21248/46200]	Loss: 0.3293	LR: 0.000800
Training Epoch: 39 [21504/46200]	Loss: 0.2881	LR: 0.000800
Training Epoch: 39 [21760/46200]	Loss: 0.3327	LR: 0.000800
Training Epoch: 39 [22016/46200]	Loss: 0.2864	LR: 0.000800
Training Epoch: 39 [22272/46200]	Loss: 0.3112	LR: 0.000800
Training Epoch: 39 [22528/46200]	Loss: 0.2569	LR: 0.000800
Training Epoch: 39 [22784/46200]	Loss: 0.2808	LR: 0.000800
Training Epoch: 39 [23040/46200]	Loss: 0.3175	LR: 0.000800
Training Epoch: 39 [23296/46200]	Loss: 0.3079	LR: 0.000800
Training Epoch: 39 [23552/46200]	Loss: 0.3282	LR: 0.000800
Training Epoch: 39 [23808/46200]	Loss: 0.2604	LR: 0.000800
Training Epoch: 39 [24064/46200]	Loss: 0.3011	LR: 0.000800
Training Epoch: 39 [24320/46200]	Loss: 0.2639	LR: 0.000800
Training Epoch: 39 [24576/46200]	Loss: 0.2998	LR: 0.000800
Training Epoch: 39 [24832/46200]	Loss: 0.3233	LR: 0.000800
Training Epoch: 39 [25088/46200]	Loss: 0.2384	LR: 0.000800
Training Epoch: 39 [25344/46200]	Loss: 0.3017	LR: 0.000800
Training Epoch: 39 [25600/46200]	Loss: 0.2962	LR: 0.000800
Training Epoch: 39 [25856/46200]	Loss: 0.2778	LR: 0.000800
Training Epoch: 39 [26112/46200]	Loss: 0.2870	LR: 0.000800
Training Epoch: 39 [26368/46200]	Loss: 0.2491	LR: 0.000800
Training Epoch: 39 [26624/46200]	Loss: 0.2493	LR: 0.000800
Training Epoch: 39 [26880/46200]	Loss: 0.3054	LR: 0.000800
Training Epoch: 39 [27136/46200]	Loss: 0.3201	LR: 0.000800
Training Epoch: 39 [27392/46200]	Loss: 0.2942	LR: 0.000800
Training Epoch: 39 [27648/46200]	Loss: 0.2677	LR: 0.000800
Training Epoch: 39 [27904/46200]	Loss: 0.2387	LR: 0.000800
Training Epoch: 39 [28160/46200]	Loss: 0.2841	LR: 0.000800
Training Epoch: 39 [28416/46200]	Loss: 0.3743	LR: 0.000800
Training Epoch: 39 [28672/46200]	Loss: 0.2826	LR: 0.000800
Training Epoch: 39 [28928/46200]	Loss: 0.2827	LR: 0.000800
Training Epoch: 39 [29184/46200]	Loss: 0.2971	LR: 0.000800
Training Epoch: 39 [29440/46200]	Loss: 0.3091	LR: 0.000800
Training Epoch: 39 [29696/46200]	Loss: 0.2694	LR: 0.000800
Training Epoch: 39 [29952/46200]	Loss: 0.3036	LR: 0.000800
Training Epoch: 39 [30208/46200]	Loss: 0.3230	LR: 0.000800
Training Epoch: 39 [30464/46200]	Loss: 0.2144	LR: 0.000800
Training Epoch: 39 [30720/46200]	Loss: 0.2593	LR: 0.000800
Training Epoch: 39 [30976/46200]	Loss: 0.2686	LR: 0.000800
Training Epoch: 39 [31232/46200]	Loss: 0.3167	LR: 0.000800
Training Epoch: 39 [31488/46200]	Loss: 0.3041	LR: 0.000800
Training Epoch: 39 [31744/46200]	Loss: 0.2966	LR: 0.000800
Training Epoch: 39 [32000/46200]	Loss: 0.2717	LR: 0.000800
Training Epoch: 39 [32256/46200]	Loss: 0.2848	LR: 0.000800
Training Epoch: 39 [32512/46200]	Loss: 0.3051	LR: 0.000800
Training Epoch: 39 [32768/46200]	Loss: 0.2643	LR: 0.000800
Training Epoch: 39 [33024/46200]	Loss: 0.3200	LR: 0.000800
Training Epoch: 39 [33280/46200]	Loss: 0.3150	LR: 0.000800
Training Epoch: 39 [33536/46200]	Loss: 0.2572	LR: 0.000800
Training Epoch: 39 [33792/46200]	Loss: 0.3349	LR: 0.000800
Training Epoch: 39 [34048/46200]	Loss: 0.3065	LR: 0.000800
Training Epoch: 39 [34304/46200]	Loss: 0.2427	LR: 0.000800
Training Epoch: 39 [34560/46200]	Loss: 0.2189	LR: 0.000800
Training Epoch: 39 [34816/46200]	Loss: 0.3014	LR: 0.000800
Training Epoch: 39 [35072/46200]	Loss: 0.3314	LR: 0.000800
Training Epoch: 39 [35328/46200]	Loss: 0.2404	LR: 0.000800
Training Epoch: 39 [35584/46200]	Loss: 0.3309	LR: 0.000800
Training Epoch: 39 [35840/46200]	Loss: 0.3704	LR: 0.000800
Training Epoch: 39 [36096/46200]	Loss: 0.3077	LR: 0.000800
Training Epoch: 39 [36352/46200]	Loss: 0.2677	LR: 0.000800
Training Epoch: 39 [36608/46200]	Loss: 0.3002	LR: 0.000800
Training Epoch: 39 [36864/46200]	Loss: 0.2887	LR: 0.000800
Training Epoch: 39 [37120/46200]	Loss: 0.2901	LR: 0.000800
Training Epoch: 39 [37376/46200]	Loss: 0.2739	LR: 0.000800
Training Epoch: 39 [37632/46200]	Loss: 0.3881	LR: 0.000800
Training Epoch: 39 [37888/46200]	Loss: 0.2505	LR: 0.000800
Training Epoch: 39 [38144/46200]	Loss: 0.2521	LR: 0.000800
Training Epoch: 39 [38400/46200]	Loss: 0.2113	LR: 0.000800
Training Epoch: 39 [38656/46200]	Loss: 0.2842	LR: 0.000800
Training Epoch: 39 [38912/46200]	Loss: 0.3226	LR: 0.000800
Training Epoch: 39 [39168/46200]	Loss: 0.3084	LR: 0.000800
Training Epoch: 39 [39424/46200]	Loss: 0.2695	LR: 0.000800
Training Epoch: 39 [39680/46200]	Loss: 0.2772	LR: 0.000800
Training Epoch: 39 [39936/46200]	Loss: 0.2982	LR: 0.000800
Training Epoch: 39 [40192/46200]	Loss: 0.2823	LR: 0.000800
Training Epoch: 39 [40448/46200]	Loss: 0.2827	LR: 0.000800
Training Epoch: 39 [40704/46200]	Loss: 0.3137	LR: 0.000800
Training Epoch: 39 [40960/46200]	Loss: 0.2598	LR: 0.000800
Training Epoch: 39 [41216/46200]	Loss: 0.3127	LR: 0.000800
Training Epoch: 39 [41472/46200]	Loss: 0.2478	LR: 0.000800
Training Epoch: 39 [41728/46200]	Loss: 0.3001	LR: 0.000800
Training Epoch: 39 [41984/46200]	Loss: 0.2698	LR: 0.000800
Training Epoch: 39 [42240/46200]	Loss: 0.3410	LR: 0.000800
Training Epoch: 39 [42496/46200]	Loss: 0.3298	LR: 0.000800
Training Epoch: 39 [42752/46200]	Loss: 0.3020	LR: 0.000800
Training Epoch: 39 [43008/46200]	Loss: 0.2823	LR: 0.000800
Training Epoch: 39 [43264/46200]	Loss: 0.2588	LR: 0.000800
Training Epoch: 39 [43520/46200]	Loss: 0.3613	LR: 0.000800
Training Epoch: 39 [43776/46200]	Loss: 0.2528	LR: 0.000800
Training Epoch: 39 [44032/46200]	Loss: 0.2837	LR: 0.000800
Training Epoch: 39 [44288/46200]	Loss: 0.3767	LR: 0.000800
Training Epoch: 39 [44544/46200]	Loss: 0.2961	LR: 0.000800
Training Epoch: 39 [44800/46200]	Loss: 0.2838	LR: 0.000800
Training Epoch: 39 [45056/46200]	Loss: 0.3034	LR: 0.000800
Training Epoch: 39 [45312/46200]	Loss: 0.2428	LR: 0.000800
Training Epoch: 39 [45568/46200]	Loss: 0.2954	LR: 0.000800
Training Epoch: 39 [45824/46200]	Loss: 0.2469	LR: 0.000800
Training Epoch: 39 [46080/46200]	Loss: 0.3105	LR: 0.000800
Training Epoch: 39 [46200/46200]	Loss: 0.2724	LR: 0.000800
Epoch 39 - Average Train Loss: 0.2862, Train Accuracy: 0.9149
Epoch 39 training time consumed: 25.18s
Evaluating Network.....
Test set: Epoch: 39, Average loss: 0.0029, Accuracy: 0.7855, Time consumed:0.86s
Training Epoch: 40 [256/46200]	Loss: 0.2686	LR: 0.000800
Training Epoch: 40 [512/46200]	Loss: 0.2548	LR: 0.000800
Training Epoch: 40 [768/46200]	Loss: 0.3403	LR: 0.000800
Training Epoch: 40 [1024/46200]	Loss: 0.2571	LR: 0.000800
Training Epoch: 40 [1280/46200]	Loss: 0.2520	LR: 0.000800
Training Epoch: 40 [1536/46200]	Loss: 0.2042	LR: 0.000800
Training Epoch: 40 [1792/46200]	Loss: 0.2495	LR: 0.000800
Training Epoch: 40 [2048/46200]	Loss: 0.2964	LR: 0.000800
Training Epoch: 40 [2304/46200]	Loss: 0.2662	LR: 0.000800
Training Epoch: 40 [2560/46200]	Loss: 0.2504	LR: 0.000800
Training Epoch: 40 [2816/46200]	Loss: 0.2551	LR: 0.000800
Training Epoch: 40 [3072/46200]	Loss: 0.3089	LR: 0.000800
Training Epoch: 40 [3328/46200]	Loss: 0.3256	LR: 0.000800
Training Epoch: 40 [3584/46200]	Loss: 0.2597	LR: 0.000800
Training Epoch: 40 [3840/46200]	Loss: 0.2550	LR: 0.000800
Training Epoch: 40 [4096/46200]	Loss: 0.2740	LR: 0.000800
Training Epoch: 40 [4352/46200]	Loss: 0.2639	LR: 0.000800
Training Epoch: 40 [4608/46200]	Loss: 0.2487	LR: 0.000800
Training Epoch: 40 [4864/46200]	Loss: 0.3218	LR: 0.000800
Training Epoch: 40 [5120/46200]	Loss: 0.3110	LR: 0.000800
Training Epoch: 40 [5376/46200]	Loss: 0.2855	LR: 0.000800
Training Epoch: 40 [5632/46200]	Loss: 0.2702	LR: 0.000800
Training Epoch: 40 [5888/46200]	Loss: 0.2659	LR: 0.000800
Training Epoch: 40 [6144/46200]	Loss: 0.2283	LR: 0.000800
Training Epoch: 40 [6400/46200]	Loss: 0.3079	LR: 0.000800
Training Epoch: 40 [6656/46200]	Loss: 0.2803	LR: 0.000800
Training Epoch: 40 [6912/46200]	Loss: 0.2494	LR: 0.000800
Training Epoch: 40 [7168/46200]	Loss: 0.2694	LR: 0.000800
Training Epoch: 40 [7424/46200]	Loss: 0.3092	LR: 0.000800
Training Epoch: 40 [7680/46200]	Loss: 0.3151	LR: 0.000800
Training Epoch: 40 [7936/46200]	Loss: 0.3731	LR: 0.000800
Training Epoch: 40 [8192/46200]	Loss: 0.2918	LR: 0.000800
Training Epoch: 40 [8448/46200]	Loss: 0.2660	LR: 0.000800
Training Epoch: 40 [8704/46200]	Loss: 0.3099	LR: 0.000800
Training Epoch: 40 [8960/46200]	Loss: 0.3163	LR: 0.000800
Training Epoch: 40 [9216/46200]	Loss: 0.3015	LR: 0.000800
Training Epoch: 40 [9472/46200]	Loss: 0.3158	LR: 0.000800
Training Epoch: 40 [9728/46200]	Loss: 0.2533	LR: 0.000800
Training Epoch: 40 [9984/46200]	Loss: 0.2313	LR: 0.000800
Training Epoch: 40 [10240/46200]	Loss: 0.2710	LR: 0.000800
Training Epoch: 40 [10496/46200]	Loss: 0.3427	LR: 0.000800
Training Epoch: 40 [10752/46200]	Loss: 0.3008	LR: 0.000800
Training Epoch: 40 [11008/46200]	Loss: 0.3232	LR: 0.000800
Training Epoch: 40 [11264/46200]	Loss: 0.2278	LR: 0.000800
Training Epoch: 40 [11520/46200]	Loss: 0.2388	LR: 0.000800
Training Epoch: 40 [11776/46200]	Loss: 0.3229	LR: 0.000800
Training Epoch: 40 [12032/46200]	Loss: 0.1897	LR: 0.000800
Training Epoch: 40 [12288/46200]	Loss: 0.2607	LR: 0.000800
Training Epoch: 40 [12544/46200]	Loss: 0.3033	LR: 0.000800
Training Epoch: 40 [12800/46200]	Loss: 0.2558	LR: 0.000800
Training Epoch: 40 [13056/46200]	Loss: 0.3283	LR: 0.000800
Training Epoch: 40 [13312/46200]	Loss: 0.2313	LR: 0.000800
Training Epoch: 40 [13568/46200]	Loss: 0.3012	LR: 0.000800
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Training Epoch: 40 [15360/46200]	Loss: 0.3213	LR: 0.000800
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Training Epoch: 40 [18944/46200]	Loss: 0.3352	LR: 0.000800
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Training Epoch: 40 [19712/46200]	Loss: 0.2558	LR: 0.000800
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Training Epoch: 40 [20224/46200]	Loss: 0.2813	LR: 0.000800
Training Epoch: 40 [20480/46200]	Loss: 0.3195	LR: 0.000800
Training Epoch: 40 [20736/46200]	Loss: 0.2910	LR: 0.000800
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Training Epoch: 40 [22016/46200]	Loss: 0.2287	LR: 0.000800
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Training Epoch: 40 [23296/46200]	Loss: 0.2589	LR: 0.000800
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Training Epoch: 40 [25088/46200]	Loss: 0.3336	LR: 0.000800
Training Epoch: 40 [25344/46200]	Loss: 0.2784	LR: 0.000800
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Training Epoch: 40 [27904/46200]	Loss: 0.2985	LR: 0.000800
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Training Epoch: 40 [28416/46200]	Loss: 0.2613	LR: 0.000800
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Training Epoch: 40 [29440/46200]	Loss: 0.2998	LR: 0.000800
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Training Epoch: 40 [31232/46200]	Loss: 0.2919	LR: 0.000800
Training Epoch: 40 [31488/46200]	Loss: 0.2655	LR: 0.000800
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Training Epoch: 40 [32256/46200]	Loss: 0.2989	LR: 0.000800
Training Epoch: 40 [32512/46200]	Loss: 0.2287	LR: 0.000800
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Training Epoch: 40 [34560/46200]	Loss: 0.2991	LR: 0.000800
Training Epoch: 40 [34816/46200]	Loss: 0.3286	LR: 0.000800
Training Epoch: 40 [35072/46200]	Loss: 0.3201	LR: 0.000800
Training Epoch: 40 [35328/46200]	Loss: 0.3167	LR: 0.000800
Training Epoch: 40 [35584/46200]	Loss: 0.3102	LR: 0.000800
Training Epoch: 40 [35840/46200]	Loss: 0.3034	LR: 0.000800
Training Epoch: 40 [36096/46200]	Loss: 0.2484	LR: 0.000800
Training Epoch: 40 [36352/46200]	Loss: 0.3059	LR: 0.000800
Training Epoch: 40 [36608/46200]	Loss: 0.2717	LR: 0.000800
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Training Epoch: 40 [37632/46200]	Loss: 0.2864	LR: 0.000800
Training Epoch: 40 [37888/46200]	Loss: 0.3101	LR: 0.000800
Training Epoch: 40 [38144/46200]	Loss: 0.3121	LR: 0.000800
Training Epoch: 40 [38400/46200]	Loss: 0.2771	LR: 0.000800
Training Epoch: 40 [38656/46200]	Loss: 0.3643	LR: 0.000800
Training Epoch: 40 [38912/46200]	Loss: 0.2528	LR: 0.000800
Training Epoch: 40 [39168/46200]	Loss: 0.2821	LR: 0.000800
Training Epoch: 40 [39424/46200]	Loss: 0.2989	LR: 0.000800
Training Epoch: 40 [39680/46200]	Loss: 0.3061	LR: 0.000800
Training Epoch: 40 [39936/46200]	Loss: 0.3114	LR: 0.000800
Training Epoch: 40 [40192/46200]	Loss: 0.2173	LR: 0.000800
Training Epoch: 40 [40448/46200]	Loss: 0.3010	LR: 0.000800
Training Epoch: 40 [40704/46200]	Loss: 0.2645	LR: 0.000800
Training Epoch: 40 [40960/46200]	Loss: 0.3248	LR: 0.000800
Training Epoch: 40 [41216/46200]	Loss: 0.2446	LR: 0.000800
Training Epoch: 40 [41472/46200]	Loss: 0.3008	LR: 0.000800
Training Epoch: 40 [41728/46200]	Loss: 0.2309	LR: 0.000800
Training Epoch: 40 [41984/46200]	Loss: 0.2234	LR: 0.000800
Training Epoch: 40 [42240/46200]	Loss: 0.2708	LR: 0.000800
Training Epoch: 40 [42496/46200]	Loss: 0.2398	LR: 0.000800
Training Epoch: 40 [42752/46200]	Loss: 0.3019	LR: 0.000800
Training Epoch: 40 [43008/46200]	Loss: 0.1951	LR: 0.000800
Training Epoch: 40 [43264/46200]	Loss: 0.2532	LR: 0.000800
Training Epoch: 40 [43520/46200]	Loss: 0.2620	LR: 0.000800
Training Epoch: 40 [43776/46200]	Loss: 0.3120	LR: 0.000800
Training Epoch: 40 [44032/46200]	Loss: 0.2776	LR: 0.000800
Training Epoch: 40 [44288/46200]	Loss: 0.3066	LR: 0.000800
Training Epoch: 40 [44544/46200]	Loss: 0.2887	LR: 0.000800
Training Epoch: 40 [44800/46200]	Loss: 0.2543	LR: 0.000800
Training Epoch: 40 [45056/46200]	Loss: 0.2674	LR: 0.000800
Training Epoch: 40 [45312/46200]	Loss: 0.3443	LR: 0.000800
Training Epoch: 40 [45568/46200]	Loss: 0.3576	LR: 0.000800
Training Epoch: 40 [45824/46200]	Loss: 0.3374	LR: 0.000800
Training Epoch: 40 [46080/46200]	Loss: 0.2835	LR: 0.000800
Training Epoch: 40 [46200/46200]	Loss: 0.3515	LR: 0.000800
Epoch 40 - Average Train Loss: 0.2838, Train Accuracy: 0.9160
Epoch 40 training time consumed: 25.12s
Evaluating Network.....
Test set: Epoch: 40, Average loss: 0.0030, Accuracy: 0.7844, Time consumed:0.90s
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: 78.505859375
Retain Accuracy: 92.1778564453125
Zero-Retain Forget (ZRF): 0.9116789698600769
Membership Inference Attack (MIA): 0.45026315789473687
Forget vs Retain Membership Inference Attack (MIA): 0.5480263157894737
Forget vs Test Membership Inference Attack (MIA): 0.5361842105263158
Test vs Retain Membership Inference Attack (MIA): 0.48725
Train vs Test Membership Inference Attack (MIA): 0.569
Forget Set Accuracy (Df): 76.8479995727539
Method Execution Time: 1540.99 seconds
