
📌 S Retain class distribution for seed 7:
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 7:
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: 475
  Class 1: 475
  Class 2: 475
  Class 3: 475
  Class 4: 475
  Class 5: 475
  Class 6: 475
  Class 7: 475
  Class 8: 475
  Class 9: 475
  Class 10: 475
  Class 11: 475
  Class 12: 475
  Class 13: 475
  Class 14: 475
  Class 15: 475
  Class 16: 475
  Class 17: 475
  Class 18: 475
  Class 19: 475
  Class 20: 475
  Class 21: 475
  Class 22: 475
  Class 23: 475
  Class 24: 475
  Class 25: 475
  Class 26: 475
  Class 27: 475
  Class 28: 475
  Class 29: 475
  Class 30: 475
  Class 31: 475
  Class 32: 475
  Class 33: 475
  Class 34: 475
  Class 35: 475
  Class 36: 475
  Class 37: 475
  Class 38: 475
  Class 39: 475
  Class 40: 475
  Class 41: 475
  Class 42: 475
  Class 43: 475
  Class 44: 475
  Class 45: 475
  Class 46: 475
  Class 47: 475
  Class 48: 475
  Class 49: 475
  Class 50: 475
  Class 51: 475
  Class 52: 475
  Class 53: 475
  Class 54: 475
  Class 55: 475
  Class 56: 475
  Class 57: 475
  Class 58: 475
  Class 59: 475
  Class 60: 475
  Class 61: 475
  Class 62: 475
  Class 63: 475
  Class 64: 475
  Class 65: 475
  Class 66: 475
  Class 67: 475
  Class 68: 475
  Class 69: 475
  Class 70: 475
  Class 71: 475
  Class 72: 475
  Class 73: 475
  Class 74: 475
  Class 75: 475
  Class 76: 475
  Class 77: 475
  Class 78: 475
  Class 79: 475
  Class 80: 475
  Class 81: 475
  Class 82: 475
  Class 83: 475
  Class 84: 475
  Class 85: 475
  Class 86: 475
  Class 87: 475
  Class 88: 475
  Class 89: 475
  Class 90: 475
  Class 91: 475
  Class 92: 475
  Class 93: 475
  Class 94: 475
  Class 95: 475
  Class 96: 475
  Class 97: 475
  Class 98: 475
  Class 99: 475
Forget set:
  Class 0: 25
  Class 1: 25
  Class 2: 25
  Class 3: 25
  Class 4: 25
  Class 5: 25
  Class 6: 25
  Class 7: 25
  Class 8: 25
  Class 9: 25
  Class 10: 25
  Class 11: 25
  Class 12: 25
  Class 13: 25
  Class 14: 25
  Class 15: 25
  Class 16: 25
  Class 17: 25
  Class 18: 25
  Class 19: 25
  Class 20: 25
  Class 21: 25
  Class 22: 25
  Class 23: 25
  Class 24: 25
  Class 25: 25
  Class 26: 25
  Class 27: 25
  Class 28: 25
  Class 29: 25
  Class 30: 25
  Class 31: 25
  Class 32: 25
  Class 33: 25
  Class 34: 25
  Class 35: 25
  Class 36: 25
  Class 37: 25
  Class 38: 25
  Class 39: 25
  Class 40: 25
  Class 41: 25
  Class 42: 25
  Class 43: 25
  Class 44: 25
  Class 45: 25
  Class 46: 25
  Class 47: 25
  Class 48: 25
  Class 49: 25
  Class 50: 25
  Class 51: 25
  Class 52: 25
  Class 53: 25
  Class 54: 25
  Class 55: 25
  Class 56: 25
  Class 57: 25
  Class 58: 25
  Class 59: 25
  Class 60: 25
  Class 61: 25
  Class 62: 25
  Class 63: 25
  Class 64: 25
  Class 65: 25
  Class 66: 25
  Class 67: 25
  Class 68: 25
  Class 69: 25
  Class 70: 25
  Class 71: 25
  Class 72: 25
  Class 73: 25
  Class 74: 25
  Class 75: 25
  Class 76: 25
  Class 77: 25
  Class 78: 25
  Class 79: 25
  Class 80: 25
  Class 81: 25
  Class 82: 25
  Class 83: 25
  Class 84: 25
  Class 85: 25
  Class 86: 25
  Class 87: 25
  Class 88: 25
  Class 89: 25
  Class 90: 25
  Class 91: 25
  Class 92: 25
  Class 93: 25
  Class 94: 25
  Class 95: 25
  Class 96: 25
  Class 97: 25
  Class 98: 25
  Class 99: 25
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/47500]	Loss: 3.0273	LR: 0.000000
Training Epoch: 1 [512/47500]	Loss: 3.0044	LR: 0.000538
Training Epoch: 1 [768/47500]	Loss: 3.0360	LR: 0.001075
Training Epoch: 1 [1024/47500]	Loss: 3.0399	LR: 0.001613
Training Epoch: 1 [1280/47500]	Loss: 3.0317	LR: 0.002151
Training Epoch: 1 [1536/47500]	Loss: 2.9872	LR: 0.002688
Training Epoch: 1 [1792/47500]	Loss: 2.9916	LR: 0.003226
Training Epoch: 1 [2048/47500]	Loss: 2.9881	LR: 0.003763
Training Epoch: 1 [2304/47500]	Loss: 2.9521	LR: 0.004301
Training Epoch: 1 [2560/47500]	Loss: 2.9563	LR: 0.004839
Training Epoch: 1 [2816/47500]	Loss: 2.9505	LR: 0.005376
Training Epoch: 1 [3072/47500]	Loss: 2.9321	LR: 0.005914
Training Epoch: 1 [3328/47500]	Loss: 2.9005	LR: 0.006452
Training Epoch: 1 [3584/47500]	Loss: 2.8690	LR: 0.006989
Training Epoch: 1 [3840/47500]	Loss: 2.8811	LR: 0.007527
Training Epoch: 1 [4096/47500]	Loss: 2.8691	LR: 0.008065
Training Epoch: 1 [4352/47500]	Loss: 2.8518	LR: 0.008602
Training Epoch: 1 [4608/47500]	Loss: 2.8481	LR: 0.009140
Training Epoch: 1 [4864/47500]	Loss: 2.8597	LR: 0.009677
Training Epoch: 1 [5120/47500]	Loss: 2.8412	LR: 0.010215
Training Epoch: 1 [5376/47500]	Loss: 2.8203	LR: 0.010753
Training Epoch: 1 [5632/47500]	Loss: 2.8352	LR: 0.011290
Training Epoch: 1 [5888/47500]	Loss: 2.7865	LR: 0.011828
Training Epoch: 1 [6144/47500]	Loss: 2.7044	LR: 0.012366
Training Epoch: 1 [6400/47500]	Loss: 2.7857	LR: 0.012903
Training Epoch: 1 [6656/47500]	Loss: 2.7059	LR: 0.013441
Training Epoch: 1 [6912/47500]	Loss: 2.7652	LR: 0.013978
Training Epoch: 1 [7168/47500]	Loss: 2.7821	LR: 0.014516
Training Epoch: 1 [7424/47500]	Loss: 2.6451	LR: 0.015054
Training Epoch: 1 [7680/47500]	Loss: 2.7149	LR: 0.015591
Training Epoch: 1 [7936/47500]	Loss: 2.6871	LR: 0.016129
Training Epoch: 1 [8192/47500]	Loss: 2.7372	LR: 0.016667
Training Epoch: 1 [8448/47500]	Loss: 2.6878	LR: 0.017204
Training Epoch: 1 [8704/47500]	Loss: 2.6381	LR: 0.017742
Training Epoch: 1 [8960/47500]	Loss: 2.7544	LR: 0.018280
Training Epoch: 1 [9216/47500]	Loss: 2.7030	LR: 0.018817
Training Epoch: 1 [9472/47500]	Loss: 2.6843	LR: 0.019355
Training Epoch: 1 [9728/47500]	Loss: 2.6852	LR: 0.019892
Training Epoch: 1 [9984/47500]	Loss: 2.7250	LR: 0.020430
Training Epoch: 1 [10240/47500]	Loss: 2.6530	LR: 0.020968
Training Epoch: 1 [10496/47500]	Loss: 2.6128	LR: 0.021505
Training Epoch: 1 [10752/47500]	Loss: 2.5908	LR: 0.022043
Training Epoch: 1 [11008/47500]	Loss: 2.5998	LR: 0.022581
Training Epoch: 1 [11264/47500]	Loss: 2.5869	LR: 0.023118
Training Epoch: 1 [11520/47500]	Loss: 2.7109	LR: 0.023656
Training Epoch: 1 [11776/47500]	Loss: 2.6695	LR: 0.024194
Training Epoch: 1 [12032/47500]	Loss: 2.5940	LR: 0.024731
Training Epoch: 1 [12288/47500]	Loss: 2.5419	LR: 0.025269
Training Epoch: 1 [12544/47500]	Loss: 2.5545	LR: 0.025806
Training Epoch: 1 [12800/47500]	Loss: 2.5934	LR: 0.026344
Training Epoch: 1 [13056/47500]	Loss: 2.6197	LR: 0.026882
Training Epoch: 1 [13312/47500]	Loss: 2.6572	LR: 0.027419
Training Epoch: 1 [13568/47500]	Loss: 2.5778	LR: 0.027957
Training Epoch: 1 [13824/47500]	Loss: 2.5436	LR: 0.028495
Training Epoch: 1 [14080/47500]	Loss: 2.5378	LR: 0.029032
Training Epoch: 1 [14336/47500]	Loss: 2.6790	LR: 0.029570
Training Epoch: 1 [14592/47500]	Loss: 2.5878	LR: 0.030108
Training Epoch: 1 [14848/47500]	Loss: 2.5876	LR: 0.030645
Training Epoch: 1 [15104/47500]	Loss: 2.5521	LR: 0.031183
Training Epoch: 1 [15360/47500]	Loss: 2.5480	LR: 0.031720
Training Epoch: 1 [15616/47500]	Loss: 2.4638	LR: 0.032258
Training Epoch: 1 [15872/47500]	Loss: 2.4876	LR: 0.032796
Training Epoch: 1 [16128/47500]	Loss: 2.5282	LR: 0.033333
Training Epoch: 1 [16384/47500]	Loss: 2.4902	LR: 0.033871
Training Epoch: 1 [16640/47500]	Loss: 2.4158	LR: 0.034409
Training Epoch: 1 [16896/47500]	Loss: 2.4313	LR: 0.034946
Training Epoch: 1 [17152/47500]	Loss: 2.5382	LR: 0.035484
Training Epoch: 1 [17408/47500]	Loss: 2.4657	LR: 0.036022
Training Epoch: 1 [17664/47500]	Loss: 2.4389	LR: 0.036559
Training Epoch: 1 [17920/47500]	Loss: 2.3792	LR: 0.037097
Training Epoch: 1 [18176/47500]	Loss: 2.5247	LR: 0.037634
Training Epoch: 1 [18432/47500]	Loss: 2.5171	LR: 0.038172
Training Epoch: 1 [18688/47500]	Loss: 2.5084	LR: 0.038710
Training Epoch: 1 [18944/47500]	Loss: 2.4556	LR: 0.039247
Training Epoch: 1 [19200/47500]	Loss: 2.4467	LR: 0.039785
Training Epoch: 1 [19456/47500]	Loss: 2.4367	LR: 0.040323
Training Epoch: 1 [19712/47500]	Loss: 2.5236	LR: 0.040860
Training Epoch: 1 [19968/47500]	Loss: 2.5524	LR: 0.041398
Training Epoch: 1 [20224/47500]	Loss: 2.4697	LR: 0.041935
Training Epoch: 1 [20480/47500]	Loss: 2.4453	LR: 0.042473
Training Epoch: 1 [20736/47500]	Loss: 2.4652	LR: 0.043011
Training Epoch: 1 [20992/47500]	Loss: 2.4274	LR: 0.043548
Training Epoch: 1 [21248/47500]	Loss: 2.4578	LR: 0.044086
Training Epoch: 1 [21504/47500]	Loss: 2.5488	LR: 0.044624
Training Epoch: 1 [21760/47500]	Loss: 2.5032	LR: 0.045161
Training Epoch: 1 [22016/47500]	Loss: 2.4652	LR: 0.045699
Training Epoch: 1 [22272/47500]	Loss: 2.3973	LR: 0.046237
Training Epoch: 1 [22528/47500]	Loss: 2.5409	LR: 0.046774
Training Epoch: 1 [22784/47500]	Loss: 2.5116	LR: 0.047312
Training Epoch: 1 [23040/47500]	Loss: 2.4031	LR: 0.047849
Training Epoch: 1 [23296/47500]	Loss: 2.4682	LR: 0.048387
Training Epoch: 1 [23552/47500]	Loss: 2.4120	LR: 0.048925
Training Epoch: 1 [23808/47500]	Loss: 2.3759	LR: 0.049462
Training Epoch: 1 [24064/47500]	Loss: 2.4285	LR: 0.050000
Training Epoch: 1 [24320/47500]	Loss: 2.4509	LR: 0.050538
Training Epoch: 1 [24576/47500]	Loss: 2.4304	LR: 0.051075
Training Epoch: 1 [24832/47500]	Loss: 2.4280	LR: 0.051613
Training Epoch: 1 [25088/47500]	Loss: 2.3409	LR: 0.052151
Training Epoch: 1 [25344/47500]	Loss: 2.5353	LR: 0.052688
Training Epoch: 1 [25600/47500]	Loss: 2.4900	LR: 0.053226
Training Epoch: 1 [25856/47500]	Loss: 2.4926	LR: 0.053763
Training Epoch: 1 [26112/47500]	Loss: 2.5588	LR: 0.054301
Training Epoch: 1 [26368/47500]	Loss: 2.4255	LR: 0.054839
Training Epoch: 1 [26624/47500]	Loss: 2.4442	LR: 0.055376
Training Epoch: 1 [26880/47500]	Loss: 2.4110	LR: 0.055914
Training Epoch: 1 [27136/47500]	Loss: 2.4703	LR: 0.056452
Training Epoch: 1 [27392/47500]	Loss: 2.4713	LR: 0.056989
Training Epoch: 1 [27648/47500]	Loss: 2.3882	LR: 0.057527
Training Epoch: 1 [27904/47500]	Loss: 2.3934	LR: 0.058065
Training Epoch: 1 [28160/47500]	Loss: 2.3233	LR: 0.058602
Training Epoch: 1 [28416/47500]	Loss: 2.3896	LR: 0.059140
Training Epoch: 1 [28672/47500]	Loss: 2.3606	LR: 0.059677
Training Epoch: 1 [28928/47500]	Loss: 2.2999	LR: 0.060215
Training Epoch: 1 [29184/47500]	Loss: 2.3830	LR: 0.060753
Training Epoch: 1 [29440/47500]	Loss: 2.4485	LR: 0.061290
Training Epoch: 1 [29696/47500]	Loss: 2.3850	LR: 0.061828
Training Epoch: 1 [29952/47500]	Loss: 2.4961	LR: 0.062366
Training Epoch: 1 [30208/47500]	Loss: 2.4466	LR: 0.062903
Training Epoch: 1 [30464/47500]	Loss: 2.3905	LR: 0.063441
Training Epoch: 1 [30720/47500]	Loss: 2.3576	LR: 0.063978
Training Epoch: 1 [30976/47500]	Loss: 2.4224	LR: 0.064516
Training Epoch: 1 [31232/47500]	Loss: 2.4456	LR: 0.065054
Training Epoch: 1 [31488/47500]	Loss: 2.4485	LR: 0.065591
Training Epoch: 1 [31744/47500]	Loss: 2.4022	LR: 0.066129
Training Epoch: 1 [32000/47500]	Loss: 2.4118	LR: 0.066667
Training Epoch: 1 [32256/47500]	Loss: 2.3738	LR: 0.067204
Training Epoch: 1 [32512/47500]	Loss: 2.4501	LR: 0.067742
Training Epoch: 1 [32768/47500]	Loss: 2.4414	LR: 0.068280
Training Epoch: 1 [33024/47500]	Loss: 2.4251	LR: 0.068817
Training Epoch: 1 [33280/47500]	Loss: 2.3422	LR: 0.069355
Training Epoch: 1 [33536/47500]	Loss: 2.3474	LR: 0.069892
Training Epoch: 1 [33792/47500]	Loss: 2.3550	LR: 0.070430
Training Epoch: 1 [34048/47500]	Loss: 2.3705	LR: 0.070968
Training Epoch: 1 [34304/47500]	Loss: 2.3227	LR: 0.071505
Training Epoch: 1 [34560/47500]	Loss: 2.3958	LR: 0.072043
Training Epoch: 1 [34816/47500]	Loss: 2.3849	LR: 0.072581
Training Epoch: 1 [35072/47500]	Loss: 2.3620	LR: 0.073118
Training Epoch: 1 [35328/47500]	Loss: 2.3856	LR: 0.073656
Training Epoch: 1 [35584/47500]	Loss: 2.3800	LR: 0.074194
Training Epoch: 1 [35840/47500]	Loss: 2.3607	LR: 0.074731
Training Epoch: 1 [36096/47500]	Loss: 2.4082	LR: 0.075269
Training Epoch: 1 [36352/47500]	Loss: 2.4022	LR: 0.075806
Training Epoch: 1 [36608/47500]	Loss: 2.5063	LR: 0.076344
Training Epoch: 1 [36864/47500]	Loss: 2.4602	LR: 0.076882
Training Epoch: 1 [37120/47500]	Loss: 2.3850	LR: 0.077419
Training Epoch: 1 [37376/47500]	Loss: 2.3914	LR: 0.077957
Training Epoch: 1 [37632/47500]	Loss: 2.4503	LR: 0.078495
Training Epoch: 1 [37888/47500]	Loss: 2.4191	LR: 0.079032
Training Epoch: 1 [38144/47500]	Loss: 2.4473	LR: 0.079570
Training Epoch: 1 [38400/47500]	Loss: 2.3282	LR: 0.080108
Training Epoch: 1 [38656/47500]	Loss: 2.2469	LR: 0.080645
Training Epoch: 1 [38912/47500]	Loss: 2.4460	LR: 0.081183
Training Epoch: 1 [39168/47500]	Loss: 2.3200	LR: 0.081720
Training Epoch: 1 [39424/47500]	Loss: 2.2243	LR: 0.082258
Training Epoch: 1 [39680/47500]	Loss: 2.3200	LR: 0.082796
Training Epoch: 1 [39936/47500]	Loss: 2.3397	LR: 0.083333
Training Epoch: 1 [40192/47500]	Loss: 2.3602	LR: 0.083871
Training Epoch: 1 [40448/47500]	Loss: 2.2989	LR: 0.084409
Training Epoch: 1 [40704/47500]	Loss: 2.3360	LR: 0.084946
Training Epoch: 1 [40960/47500]	Loss: 2.3871	LR: 0.085484
Training Epoch: 1 [41216/47500]	Loss: 2.2634	LR: 0.086022
Training Epoch: 1 [41472/47500]	Loss: 2.3448	LR: 0.086559
Training Epoch: 1 [41728/47500]	Loss: 2.5800	LR: 0.087097
Training Epoch: 1 [41984/47500]	Loss: 2.4128	LR: 0.087634
Training Epoch: 1 [42240/47500]	Loss: 2.2800	LR: 0.088172
Training Epoch: 1 [42496/47500]	Loss: 2.3326	LR: 0.088710
Training Epoch: 1 [42752/47500]	Loss: 2.2896	LR: 0.089247
Training Epoch: 1 [43008/47500]	Loss: 2.2673	LR: 0.089785
Training Epoch: 1 [43264/47500]	Loss: 2.2762	LR: 0.090323
Training Epoch: 1 [43520/47500]	Loss: 2.3298	LR: 0.090860
Training Epoch: 1 [43776/47500]	Loss: 2.3747	LR: 0.091398
Training Epoch: 1 [44032/47500]	Loss: 2.3136	LR: 0.091935
Training Epoch: 1 [44288/47500]	Loss: 2.3137	LR: 0.092473
Training Epoch: 1 [44544/47500]	Loss: 2.3729	LR: 0.093011
Training Epoch: 1 [44800/47500]	Loss: 2.2779	LR: 0.093548
Training Epoch: 1 [45056/47500]	Loss: 2.2109	LR: 0.094086
Training Epoch: 1 [45312/47500]	Loss: 2.3504	LR: 0.094624
Training Epoch: 1 [45568/47500]	Loss: 2.3012	LR: 0.095161
Training Epoch: 1 [45824/47500]	Loss: 2.3417	LR: 0.095699
Training Epoch: 1 [46080/47500]	Loss: 2.3076	LR: 0.096237
Training Epoch: 1 [46336/47500]	Loss: 2.2719	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 2.3230	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 2.4095	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 2.3083	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 2.3304	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 2.3117	LR: 0.099462
Epoch 1 - Average Train Loss: 2.5166, Train Accuracy: 0.2196
Epoch 1 training time consumed: 26.57s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0097, Accuracy: 0.2473, Time consumed:1.06s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_22h_43m_16s/AllCNN-Cifar20-seed7-ret50-1-best.pth
Training Epoch: 2 [256/47500]	Loss: 2.3491	LR: 0.100000
Training Epoch: 2 [512/47500]	Loss: 2.3778	LR: 0.100000
Training Epoch: 2 [768/47500]	Loss: 2.2773	LR: 0.100000
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Epoch 2 - Average Train Loss: 2.1383, Train Accuracy: 0.3301
Epoch 2 training time consumed: 26.00s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0088, Accuracy: 0.3426, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_22h_43m_16s/AllCNN-Cifar20-seed7-ret50-2-best.pth
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Training Epoch: 3 [47500/47500]	Loss: 1.7926	LR: 0.100000
Epoch 3 - Average Train Loss: 1.9125, Train Accuracy: 0.3994
Epoch 3 training time consumed: 25.79s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0081, Accuracy: 0.3755, Time consumed:0.95s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_22h_43m_16s/AllCNN-Cifar20-seed7-ret50-3-best.pth
Training Epoch: 4 [256/47500]	Loss: 1.7383	LR: 0.100000
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Epoch 4 - Average Train Loss: 1.7249, Train Accuracy: 0.4540
Epoch 4 training time consumed: 25.91s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0067, Accuracy: 0.4744, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_22h_43m_16s/AllCNN-Cifar20-seed7-ret50-4-best.pth
Training Epoch: 5 [256/47500]	Loss: 1.5304	LR: 0.100000
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Epoch 5 - Average Train Loss: 1.5623, Train Accuracy: 0.5035
Epoch 5 training time consumed: 25.99s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0066, Accuracy: 0.4848, Time consumed:0.89s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_22h_43m_16s/AllCNN-Cifar20-seed7-ret50-5-best.pth
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Epoch 6 - Average Train Loss: 1.4328, Train Accuracy: 0.5435
Epoch 6 training time consumed: 26.21s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0065, Accuracy: 0.5068, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_22h_43m_16s/AllCNN-Cifar20-seed7-ret50-6-best.pth
Training Epoch: 7 [256/47500]	Loss: 1.4436	LR: 0.100000
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Epoch 7 - Average Train Loss: 1.3310, Train Accuracy: 0.5744
Epoch 7 training time consumed: 25.86s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0062, Accuracy: 0.5243, Time consumed:0.98s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_22h_43m_16s/AllCNN-Cifar20-seed7-ret50-7-best.pth
Training Epoch: 8 [256/47500]	Loss: 1.2644	LR: 0.100000
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Epoch 8 - Average Train Loss: 1.2580, Train Accuracy: 0.5957
Epoch 8 training time consumed: 26.00s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0057, Accuracy: 0.5602, Time consumed:0.86s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_22h_43m_16s/AllCNN-Cifar20-seed7-ret50-8-best.pth
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Training Epoch: 9 [47500/47500]	Loss: 1.1839	LR: 0.100000
Epoch 9 - Average Train Loss: 1.1786, Train Accuracy: 0.6225
Epoch 9 training time consumed: 25.93s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0048, Accuracy: 0.6210, Time consumed:0.98s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_22h_43m_16s/AllCNN-Cifar20-seed7-ret50-9-best.pth
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Training Epoch: 10 [47500/47500]	Loss: 1.1425	LR: 0.100000
Epoch 10 - Average Train Loss: 1.1269, Train Accuracy: 0.6365
Epoch 10 training time consumed: 25.89s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0061, Accuracy: 0.5583, Time consumed:0.91s
Training Epoch: 11 [256/47500]	Loss: 1.0452	LR: 0.100000
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Training Epoch: 11 [29440/47500]	Loss: 1.1347	LR: 0.100000
Training Epoch: 11 [29696/47500]	Loss: 1.2110	LR: 0.100000
Training Epoch: 11 [29952/47500]	Loss: 1.0221	LR: 0.100000
Training Epoch: 11 [30208/47500]	Loss: 1.2136	LR: 0.100000
Training Epoch: 11 [30464/47500]	Loss: 1.1264	LR: 0.100000
Training Epoch: 11 [30720/47500]	Loss: 1.1512	LR: 0.100000
Training Epoch: 11 [30976/47500]	Loss: 1.1492	LR: 0.100000
Training Epoch: 11 [31232/47500]	Loss: 1.0679	LR: 0.100000
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Training Epoch: 11 [31744/47500]	Loss: 1.1421	LR: 0.100000
Training Epoch: 11 [32000/47500]	Loss: 1.1074	LR: 0.100000
Training Epoch: 11 [32256/47500]	Loss: 1.0896	LR: 0.100000
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Training Epoch: 11 [41472/47500]	Loss: 1.1065	LR: 0.100000
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Training Epoch: 11 [43008/47500]	Loss: 0.9721	LR: 0.100000
Training Epoch: 11 [43264/47500]	Loss: 0.9806	LR: 0.100000
Training Epoch: 11 [43520/47500]	Loss: 1.0910	LR: 0.100000
Training Epoch: 11 [43776/47500]	Loss: 1.0623	LR: 0.100000
Training Epoch: 11 [44032/47500]	Loss: 1.1081	LR: 0.100000
Training Epoch: 11 [44288/47500]	Loss: 1.0474	LR: 0.100000
Training Epoch: 11 [44544/47500]	Loss: 1.0850	LR: 0.100000
Training Epoch: 11 [44800/47500]	Loss: 1.1629	LR: 0.100000
Training Epoch: 11 [45056/47500]	Loss: 0.9709	LR: 0.100000
Training Epoch: 11 [45312/47500]	Loss: 1.0267	LR: 0.100000
Training Epoch: 11 [45568/47500]	Loss: 1.1550	LR: 0.100000
Training Epoch: 11 [45824/47500]	Loss: 1.1113	LR: 0.100000
Training Epoch: 11 [46080/47500]	Loss: 1.0717	LR: 0.100000
Training Epoch: 11 [46336/47500]	Loss: 1.1282	LR: 0.100000
Training Epoch: 11 [46592/47500]	Loss: 0.9997	LR: 0.100000
Training Epoch: 11 [46848/47500]	Loss: 1.0480	LR: 0.100000
Training Epoch: 11 [47104/47500]	Loss: 1.2500	LR: 0.100000
Training Epoch: 11 [47360/47500]	Loss: 1.1331	LR: 0.100000
Training Epoch: 11 [47500/47500]	Loss: 1.1410	LR: 0.100000
Epoch 11 - Average Train Loss: 1.0887, Train Accuracy: 0.6511
Epoch 11 training time consumed: 25.83s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0057, Accuracy: 0.5749, Time consumed:0.90s
Training Epoch: 12 [256/47500]	Loss: 0.9499	LR: 0.100000
Training Epoch: 12 [512/47500]	Loss: 1.0135	LR: 0.100000
Training Epoch: 12 [768/47500]	Loss: 1.0988	LR: 0.100000
Training Epoch: 12 [1024/47500]	Loss: 1.1040	LR: 0.100000
Training Epoch: 12 [1280/47500]	Loss: 1.0640	LR: 0.100000
Training Epoch: 12 [1536/47500]	Loss: 0.9708	LR: 0.100000
Training Epoch: 12 [1792/47500]	Loss: 1.0292	LR: 0.100000
Training Epoch: 12 [2048/47500]	Loss: 1.0228	LR: 0.100000
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Training Epoch: 12 [2560/47500]	Loss: 1.0536	LR: 0.100000
Training Epoch: 12 [2816/47500]	Loss: 1.1006	LR: 0.100000
Training Epoch: 12 [3072/47500]	Loss: 1.1624	LR: 0.100000
Training Epoch: 12 [3328/47500]	Loss: 1.0618	LR: 0.100000
Training Epoch: 12 [3584/47500]	Loss: 0.9950	LR: 0.100000
Training Epoch: 12 [3840/47500]	Loss: 1.2067	LR: 0.100000
Training Epoch: 12 [4096/47500]	Loss: 1.2553	LR: 0.100000
Training Epoch: 12 [4352/47500]	Loss: 1.1024	LR: 0.100000
Training Epoch: 12 [4608/47500]	Loss: 1.0842	LR: 0.100000
Training Epoch: 12 [4864/47500]	Loss: 1.1557	LR: 0.100000
Training Epoch: 12 [5120/47500]	Loss: 1.1761	LR: 0.100000
Training Epoch: 12 [5376/47500]	Loss: 0.9488	LR: 0.100000
Training Epoch: 12 [5632/47500]	Loss: 0.9703	LR: 0.100000
Training Epoch: 12 [5888/47500]	Loss: 1.1290	LR: 0.100000
Training Epoch: 12 [6144/47500]	Loss: 1.0258	LR: 0.100000
Training Epoch: 12 [6400/47500]	Loss: 0.9552	LR: 0.100000
Training Epoch: 12 [6656/47500]	Loss: 1.0436	LR: 0.100000
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Training Epoch: 12 [7168/47500]	Loss: 1.1460	LR: 0.100000
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Training Epoch: 12 [7680/47500]	Loss: 1.0603	LR: 0.100000
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Training Epoch: 12 [29440/47500]	Loss: 0.9838	LR: 0.100000
Training Epoch: 12 [29696/47500]	Loss: 1.1414	LR: 0.100000
Training Epoch: 12 [29952/47500]	Loss: 1.0880	LR: 0.100000
Training Epoch: 12 [30208/47500]	Loss: 1.0664	LR: 0.100000
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Training Epoch: 12 [38912/47500]	Loss: 1.1552	LR: 0.100000
Training Epoch: 12 [39168/47500]	Loss: 1.2067	LR: 0.100000
Training Epoch: 12 [39424/47500]	Loss: 0.9889	LR: 0.100000
Training Epoch: 12 [39680/47500]	Loss: 1.0006	LR: 0.100000
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Training Epoch: 12 [40192/47500]	Loss: 1.0917	LR: 0.100000
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Training Epoch: 12 [40704/47500]	Loss: 1.1001	LR: 0.100000
Training Epoch: 12 [40960/47500]	Loss: 1.1340	LR: 0.100000
Training Epoch: 12 [41216/47500]	Loss: 1.1537	LR: 0.100000
Training Epoch: 12 [41472/47500]	Loss: 1.0387	LR: 0.100000
Training Epoch: 12 [41728/47500]	Loss: 1.1127	LR: 0.100000
Training Epoch: 12 [41984/47500]	Loss: 1.0526	LR: 0.100000
Training Epoch: 12 [42240/47500]	Loss: 1.0869	LR: 0.100000
Training Epoch: 12 [42496/47500]	Loss: 1.0971	LR: 0.100000
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Training Epoch: 12 [43264/47500]	Loss: 1.1502	LR: 0.100000
Training Epoch: 12 [43520/47500]	Loss: 1.0525	LR: 0.100000
Training Epoch: 12 [43776/47500]	Loss: 0.9483	LR: 0.100000
Training Epoch: 12 [44032/47500]	Loss: 1.1063	LR: 0.100000
Training Epoch: 12 [44288/47500]	Loss: 1.1628	LR: 0.100000
Training Epoch: 12 [44544/47500]	Loss: 1.0383	LR: 0.100000
Training Epoch: 12 [44800/47500]	Loss: 1.0975	LR: 0.100000
Training Epoch: 12 [45056/47500]	Loss: 1.0244	LR: 0.100000
Training Epoch: 12 [45312/47500]	Loss: 1.0086	LR: 0.100000
Training Epoch: 12 [45568/47500]	Loss: 0.9649	LR: 0.100000
Training Epoch: 12 [45824/47500]	Loss: 0.9904	LR: 0.100000
Training Epoch: 12 [46080/47500]	Loss: 1.1098	LR: 0.100000
Training Epoch: 12 [46336/47500]	Loss: 1.1273	LR: 0.100000
Training Epoch: 12 [46592/47500]	Loss: 0.9808	LR: 0.100000
Training Epoch: 12 [46848/47500]	Loss: 1.1060	LR: 0.100000
Training Epoch: 12 [47104/47500]	Loss: 0.9992	LR: 0.100000
Training Epoch: 12 [47360/47500]	Loss: 1.0243	LR: 0.100000
Training Epoch: 12 [47500/47500]	Loss: 1.1734	LR: 0.100000
Epoch 12 - Average Train Loss: 1.0646, Train Accuracy: 0.6591
Epoch 12 training time consumed: 25.83s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0056, Accuracy: 0.5754, Time consumed:0.87s
Training Epoch: 13 [256/47500]	Loss: 0.9847	LR: 0.100000
Training Epoch: 13 [512/47500]	Loss: 1.1210	LR: 0.100000
Training Epoch: 13 [768/47500]	Loss: 0.9908	LR: 0.100000
Training Epoch: 13 [1024/47500]	Loss: 0.9776	LR: 0.100000
Training Epoch: 13 [1280/47500]	Loss: 0.9838	LR: 0.100000
Training Epoch: 13 [1536/47500]	Loss: 0.9419	LR: 0.100000
Training Epoch: 13 [1792/47500]	Loss: 1.0483	LR: 0.100000
Training Epoch: 13 [2048/47500]	Loss: 0.9797	LR: 0.100000
Training Epoch: 13 [2304/47500]	Loss: 1.0552	LR: 0.100000
Training Epoch: 13 [2560/47500]	Loss: 0.9795	LR: 0.100000
Training Epoch: 13 [2816/47500]	Loss: 0.9258	LR: 0.100000
Training Epoch: 13 [3072/47500]	Loss: 0.9558	LR: 0.100000
Training Epoch: 13 [3328/47500]	Loss: 0.9561	LR: 0.100000
Training Epoch: 13 [3584/47500]	Loss: 1.0627	LR: 0.100000
Training Epoch: 13 [3840/47500]	Loss: 1.0510	LR: 0.100000
Training Epoch: 13 [4096/47500]	Loss: 1.0389	LR: 0.100000
Training Epoch: 13 [4352/47500]	Loss: 0.9263	LR: 0.100000
Training Epoch: 13 [4608/47500]	Loss: 1.0595	LR: 0.100000
Training Epoch: 13 [4864/47500]	Loss: 0.8072	LR: 0.100000
Training Epoch: 13 [5120/47500]	Loss: 0.9228	LR: 0.100000
Training Epoch: 13 [5376/47500]	Loss: 1.0455	LR: 0.100000
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Training Epoch: 13 [19712/47500]	Loss: 0.9481	LR: 0.100000
Training Epoch: 13 [19968/47500]	Loss: 0.9649	LR: 0.100000
Training Epoch: 13 [20224/47500]	Loss: 1.0754	LR: 0.100000
Training Epoch: 13 [20480/47500]	Loss: 0.9952	LR: 0.100000
Training Epoch: 13 [20736/47500]	Loss: 1.0885	LR: 0.100000
Training Epoch: 13 [20992/47500]	Loss: 0.9596	LR: 0.100000
Training Epoch: 13 [21248/47500]	Loss: 1.0540	LR: 0.100000
Training Epoch: 13 [21504/47500]	Loss: 0.9068	LR: 0.100000
Training Epoch: 13 [21760/47500]	Loss: 0.8779	LR: 0.100000
Training Epoch: 13 [22016/47500]	Loss: 1.0379	LR: 0.100000
Training Epoch: 13 [22272/47500]	Loss: 0.9910	LR: 0.100000
Training Epoch: 13 [22528/47500]	Loss: 1.0143	LR: 0.100000
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Training Epoch: 13 [23552/47500]	Loss: 1.0954	LR: 0.100000
Training Epoch: 13 [23808/47500]	Loss: 1.1240	LR: 0.100000
Training Epoch: 13 [24064/47500]	Loss: 1.0679	LR: 0.100000
Training Epoch: 13 [24320/47500]	Loss: 1.0237	LR: 0.100000
Training Epoch: 13 [24576/47500]	Loss: 1.0802	LR: 0.100000
Training Epoch: 13 [24832/47500]	Loss: 1.1269	LR: 0.100000
Training Epoch: 13 [25088/47500]	Loss: 1.0626	LR: 0.100000
Training Epoch: 13 [25344/47500]	Loss: 1.1814	LR: 0.100000
Training Epoch: 13 [25600/47500]	Loss: 0.9643	LR: 0.100000
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Training Epoch: 13 [27136/47500]	Loss: 1.1079	LR: 0.100000
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Training Epoch: 13 [27904/47500]	Loss: 1.0264	LR: 0.100000
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Training Epoch: 13 [28416/47500]	Loss: 1.1395	LR: 0.100000
Training Epoch: 13 [28672/47500]	Loss: 1.0131	LR: 0.100000
Training Epoch: 13 [28928/47500]	Loss: 0.9431	LR: 0.100000
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Training Epoch: 13 [29440/47500]	Loss: 1.0202	LR: 0.100000
Training Epoch: 13 [29696/47500]	Loss: 0.9973	LR: 0.100000
Training Epoch: 13 [29952/47500]	Loss: 0.9791	LR: 0.100000
Training Epoch: 13 [30208/47500]	Loss: 0.8799	LR: 0.100000
Training Epoch: 13 [30464/47500]	Loss: 1.0374	LR: 0.100000
Training Epoch: 13 [30720/47500]	Loss: 1.0591	LR: 0.100000
Training Epoch: 13 [30976/47500]	Loss: 1.0528	LR: 0.100000
Training Epoch: 13 [31232/47500]	Loss: 0.9118	LR: 0.100000
Training Epoch: 13 [31488/47500]	Loss: 1.0602	LR: 0.100000
Training Epoch: 13 [31744/47500]	Loss: 1.0896	LR: 0.100000
Training Epoch: 13 [32000/47500]	Loss: 1.0444	LR: 0.100000
Training Epoch: 13 [32256/47500]	Loss: 0.9585	LR: 0.100000
Training Epoch: 13 [32512/47500]	Loss: 1.0069	LR: 0.100000
Training Epoch: 13 [32768/47500]	Loss: 0.9741	LR: 0.100000
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Training Epoch: 13 [33536/47500]	Loss: 1.0640	LR: 0.100000
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Training Epoch: 13 [34048/47500]	Loss: 0.9859	LR: 0.100000
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Training Epoch: 13 [34560/47500]	Loss: 1.0527	LR: 0.100000
Training Epoch: 13 [34816/47500]	Loss: 0.9653	LR: 0.100000
Training Epoch: 13 [35072/47500]	Loss: 1.0219	LR: 0.100000
Training Epoch: 13 [35328/47500]	Loss: 0.9672	LR: 0.100000
Training Epoch: 13 [35584/47500]	Loss: 1.0058	LR: 0.100000
Training Epoch: 13 [35840/47500]	Loss: 1.0693	LR: 0.100000
Training Epoch: 13 [36096/47500]	Loss: 1.1044	LR: 0.100000
Training Epoch: 13 [36352/47500]	Loss: 1.1764	LR: 0.100000
Training Epoch: 13 [36608/47500]	Loss: 1.0280	LR: 0.100000
Training Epoch: 13 [36864/47500]	Loss: 1.1284	LR: 0.100000
Training Epoch: 13 [37120/47500]	Loss: 1.0460	LR: 0.100000
Training Epoch: 13 [37376/47500]	Loss: 0.8984	LR: 0.100000
Training Epoch: 13 [37632/47500]	Loss: 1.1533	LR: 0.100000
Training Epoch: 13 [37888/47500]	Loss: 0.9952	LR: 0.100000
Training Epoch: 13 [38144/47500]	Loss: 0.9824	LR: 0.100000
Training Epoch: 13 [38400/47500]	Loss: 1.1839	LR: 0.100000
Training Epoch: 13 [38656/47500]	Loss: 1.1135	LR: 0.100000
Training Epoch: 13 [38912/47500]	Loss: 0.9740	LR: 0.100000
Training Epoch: 13 [39168/47500]	Loss: 1.0758	LR: 0.100000
Training Epoch: 13 [39424/47500]	Loss: 0.9957	LR: 0.100000
Training Epoch: 13 [39680/47500]	Loss: 1.1234	LR: 0.100000
Training Epoch: 13 [39936/47500]	Loss: 1.1155	LR: 0.100000
Training Epoch: 13 [40192/47500]	Loss: 1.0202	LR: 0.100000
Training Epoch: 13 [40448/47500]	Loss: 1.0188	LR: 0.100000
Training Epoch: 13 [40704/47500]	Loss: 1.1027	LR: 0.100000
Training Epoch: 13 [40960/47500]	Loss: 0.9771	LR: 0.100000
Training Epoch: 13 [41216/47500]	Loss: 1.1185	LR: 0.100000
Training Epoch: 13 [41472/47500]	Loss: 1.1130	LR: 0.100000
Training Epoch: 13 [41728/47500]	Loss: 0.9684	LR: 0.100000
Training Epoch: 13 [41984/47500]	Loss: 1.2270	LR: 0.100000
Training Epoch: 13 [42240/47500]	Loss: 1.0392	LR: 0.100000
Training Epoch: 13 [42496/47500]	Loss: 1.0821	LR: 0.100000
Training Epoch: 13 [42752/47500]	Loss: 1.1828	LR: 0.100000
Training Epoch: 13 [43008/47500]	Loss: 1.0217	LR: 0.100000
Training Epoch: 13 [43264/47500]	Loss: 1.1337	LR: 0.100000
Training Epoch: 13 [43520/47500]	Loss: 1.0375	LR: 0.100000
Training Epoch: 13 [43776/47500]	Loss: 1.0145	LR: 0.100000
Training Epoch: 13 [44032/47500]	Loss: 1.1057	LR: 0.100000
Training Epoch: 13 [44288/47500]	Loss: 1.1110	LR: 0.100000
Training Epoch: 13 [44544/47500]	Loss: 1.0593	LR: 0.100000
Training Epoch: 13 [44800/47500]	Loss: 1.1115	LR: 0.100000
Training Epoch: 13 [45056/47500]	Loss: 1.0085	LR: 0.100000
Training Epoch: 13 [45312/47500]	Loss: 0.9810	LR: 0.100000
Training Epoch: 13 [45568/47500]	Loss: 1.1610	LR: 0.100000
Training Epoch: 13 [45824/47500]	Loss: 0.9820	LR: 0.100000
Training Epoch: 13 [46080/47500]	Loss: 1.0677	LR: 0.100000
Training Epoch: 13 [46336/47500]	Loss: 1.2146	LR: 0.100000
Training Epoch: 13 [46592/47500]	Loss: 0.9106	LR: 0.100000
Training Epoch: 13 [46848/47500]	Loss: 1.0213	LR: 0.100000
Training Epoch: 13 [47104/47500]	Loss: 1.0812	LR: 0.100000
Training Epoch: 13 [47360/47500]	Loss: 0.9325	LR: 0.100000
Training Epoch: 13 [47500/47500]	Loss: 0.9479	LR: 0.100000
Epoch 13 - Average Train Loss: 1.0271, Train Accuracy: 0.6743
Epoch 13 training time consumed: 26.03s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0053, Accuracy: 0.5946, Time consumed:0.87s
Training Epoch: 14 [256/47500]	Loss: 1.1054	LR: 0.100000
Training Epoch: 14 [512/47500]	Loss: 1.0226	LR: 0.100000
Training Epoch: 14 [768/47500]	Loss: 0.9311	LR: 0.100000
Training Epoch: 14 [1024/47500]	Loss: 1.0772	LR: 0.100000
Training Epoch: 14 [1280/47500]	Loss: 1.1028	LR: 0.100000
Training Epoch: 14 [1536/47500]	Loss: 0.9550	LR: 0.100000
Training Epoch: 14 [1792/47500]	Loss: 0.9147	LR: 0.100000
Training Epoch: 14 [2048/47500]	Loss: 1.0462	LR: 0.100000
Training Epoch: 14 [2304/47500]	Loss: 0.9081	LR: 0.100000
Training Epoch: 14 [2560/47500]	Loss: 1.0088	LR: 0.100000
Training Epoch: 14 [2816/47500]	Loss: 0.9413	LR: 0.100000
Training Epoch: 14 [3072/47500]	Loss: 1.0394	LR: 0.100000
Training Epoch: 14 [3328/47500]	Loss: 0.9386	LR: 0.100000
Training Epoch: 14 [3584/47500]	Loss: 1.0338	LR: 0.100000
Training Epoch: 14 [3840/47500]	Loss: 1.0113	LR: 0.100000
Training Epoch: 14 [4096/47500]	Loss: 0.9188	LR: 0.100000
Training Epoch: 14 [4352/47500]	Loss: 0.9486	LR: 0.100000
Training Epoch: 14 [4608/47500]	Loss: 0.9459	LR: 0.100000
Training Epoch: 14 [4864/47500]	Loss: 0.9649	LR: 0.100000
Training Epoch: 14 [5120/47500]	Loss: 0.9350	LR: 0.100000
Training Epoch: 14 [5376/47500]	Loss: 1.0602	LR: 0.100000
Training Epoch: 14 [5632/47500]	Loss: 0.8355	LR: 0.100000
Training Epoch: 14 [5888/47500]	Loss: 0.9495	LR: 0.100000
Training Epoch: 14 [6144/47500]	Loss: 1.0172	LR: 0.100000
Training Epoch: 14 [6400/47500]	Loss: 1.0011	LR: 0.100000
Training Epoch: 14 [6656/47500]	Loss: 0.9145	LR: 0.100000
Training Epoch: 14 [6912/47500]	Loss: 0.9735	LR: 0.100000
Training Epoch: 14 [7168/47500]	Loss: 0.9402	LR: 0.100000
Training Epoch: 14 [7424/47500]	Loss: 0.9930	LR: 0.100000
Training Epoch: 14 [7680/47500]	Loss: 1.0047	LR: 0.100000
Training Epoch: 14 [7936/47500]	Loss: 1.1235	LR: 0.100000
Training Epoch: 14 [8192/47500]	Loss: 0.9714	LR: 0.100000
Training Epoch: 14 [8448/47500]	Loss: 0.8975	LR: 0.100000
Training Epoch: 14 [8704/47500]	Loss: 1.0875	LR: 0.100000
Training Epoch: 14 [8960/47500]	Loss: 0.9527	LR: 0.100000
Training Epoch: 14 [9216/47500]	Loss: 0.9824	LR: 0.100000
Training Epoch: 14 [9472/47500]	Loss: 1.1182	LR: 0.100000
Training Epoch: 14 [9728/47500]	Loss: 1.2002	LR: 0.100000
Training Epoch: 14 [9984/47500]	Loss: 0.8385	LR: 0.100000
Training Epoch: 14 [10240/47500]	Loss: 0.9861	LR: 0.100000
Training Epoch: 14 [10496/47500]	Loss: 0.8935	LR: 0.100000
Training Epoch: 14 [10752/47500]	Loss: 0.9209	LR: 0.100000
Training Epoch: 14 [11008/47500]	Loss: 0.9418	LR: 0.100000
Training Epoch: 14 [11264/47500]	Loss: 0.9930	LR: 0.100000
Training Epoch: 14 [11520/47500]	Loss: 1.0018	LR: 0.100000
Training Epoch: 14 [11776/47500]	Loss: 0.9292	LR: 0.100000
Training Epoch: 14 [12032/47500]	Loss: 1.0855	LR: 0.100000
Training Epoch: 14 [12288/47500]	Loss: 0.9454	LR: 0.100000
Training Epoch: 14 [12544/47500]	Loss: 1.0060	LR: 0.100000
Training Epoch: 14 [12800/47500]	Loss: 0.9556	LR: 0.100000
Training Epoch: 14 [13056/47500]	Loss: 0.8953	LR: 0.100000
Training Epoch: 14 [13312/47500]	Loss: 0.9394	LR: 0.100000
Training Epoch: 14 [13568/47500]	Loss: 1.0190	LR: 0.100000
Training Epoch: 14 [13824/47500]	Loss: 0.9249	LR: 0.100000
Training Epoch: 14 [14080/47500]	Loss: 0.9683	LR: 0.100000
Training Epoch: 14 [14336/47500]	Loss: 1.0756	LR: 0.100000
Training Epoch: 14 [14592/47500]	Loss: 0.8673	LR: 0.100000
Training Epoch: 14 [14848/47500]	Loss: 0.9253	LR: 0.100000
Training Epoch: 14 [15104/47500]	Loss: 0.8603	LR: 0.100000
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Training Epoch: 14 [15616/47500]	Loss: 0.8479	LR: 0.100000
Training Epoch: 14 [15872/47500]	Loss: 1.0093	LR: 0.100000
Training Epoch: 14 [16128/47500]	Loss: 1.0169	LR: 0.100000
Training Epoch: 14 [16384/47500]	Loss: 0.9363	LR: 0.100000
Training Epoch: 14 [16640/47500]	Loss: 1.0754	LR: 0.100000
Training Epoch: 14 [16896/47500]	Loss: 1.0884	LR: 0.100000
Training Epoch: 14 [17152/47500]	Loss: 0.9272	LR: 0.100000
Training Epoch: 14 [17408/47500]	Loss: 1.0684	LR: 0.100000
Training Epoch: 14 [17664/47500]	Loss: 0.9508	LR: 0.100000
Training Epoch: 14 [17920/47500]	Loss: 0.7963	LR: 0.100000
Training Epoch: 14 [18176/47500]	Loss: 1.0296	LR: 0.100000
Training Epoch: 14 [18432/47500]	Loss: 0.8873	LR: 0.100000
Training Epoch: 14 [18688/47500]	Loss: 1.0276	LR: 0.100000
Training Epoch: 14 [18944/47500]	Loss: 0.9051	LR: 0.100000
Training Epoch: 14 [19200/47500]	Loss: 0.9584	LR: 0.100000
Training Epoch: 14 [19456/47500]	Loss: 0.7956	LR: 0.100000
Training Epoch: 14 [19712/47500]	Loss: 0.9321	LR: 0.100000
Training Epoch: 14 [19968/47500]	Loss: 0.9662	LR: 0.100000
Training Epoch: 14 [20224/47500]	Loss: 0.9402	LR: 0.100000
Training Epoch: 14 [20480/47500]	Loss: 1.2286	LR: 0.100000
Training Epoch: 14 [20736/47500]	Loss: 0.9518	LR: 0.100000
Training Epoch: 14 [20992/47500]	Loss: 0.9894	LR: 0.100000
Training Epoch: 14 [21248/47500]	Loss: 1.1115	LR: 0.100000
Training Epoch: 14 [21504/47500]	Loss: 1.1745	LR: 0.100000
Training Epoch: 14 [21760/47500]	Loss: 1.0370	LR: 0.100000
Training Epoch: 14 [22016/47500]	Loss: 0.9790	LR: 0.100000
Training Epoch: 14 [22272/47500]	Loss: 0.8987	LR: 0.100000
Training Epoch: 14 [22528/47500]	Loss: 0.9793	LR: 0.100000
Training Epoch: 14 [22784/47500]	Loss: 0.9621	LR: 0.100000
Training Epoch: 14 [23040/47500]	Loss: 1.0840	LR: 0.100000
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Training Epoch: 14 [23552/47500]	Loss: 1.0953	LR: 0.100000
Training Epoch: 14 [23808/47500]	Loss: 1.0356	LR: 0.100000
Training Epoch: 14 [24064/47500]	Loss: 1.1612	LR: 0.100000
Training Epoch: 14 [24320/47500]	Loss: 1.0231	LR: 0.100000
Training Epoch: 14 [24576/47500]	Loss: 1.0072	LR: 0.100000
Training Epoch: 14 [24832/47500]	Loss: 0.9905	LR: 0.100000
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Training Epoch: 14 [25344/47500]	Loss: 0.9038	LR: 0.100000
Training Epoch: 14 [25600/47500]	Loss: 1.1011	LR: 0.100000
Training Epoch: 14 [25856/47500]	Loss: 0.9465	LR: 0.100000
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Training Epoch: 14 [26368/47500]	Loss: 0.9306	LR: 0.100000
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Training Epoch: 14 [26880/47500]	Loss: 1.0755	LR: 0.100000
Training Epoch: 14 [27136/47500]	Loss: 0.9794	LR: 0.100000
Training Epoch: 14 [27392/47500]	Loss: 0.9597	LR: 0.100000
Training Epoch: 14 [27648/47500]	Loss: 1.0296	LR: 0.100000
Training Epoch: 14 [27904/47500]	Loss: 1.0275	LR: 0.100000
Training Epoch: 14 [28160/47500]	Loss: 1.0861	LR: 0.100000
Training Epoch: 14 [28416/47500]	Loss: 0.9167	LR: 0.100000
Training Epoch: 14 [28672/47500]	Loss: 1.0852	LR: 0.100000
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Training Epoch: 14 [29184/47500]	Loss: 0.9369	LR: 0.100000
Training Epoch: 14 [29440/47500]	Loss: 0.9732	LR: 0.100000
Training Epoch: 14 [29696/47500]	Loss: 0.9001	LR: 0.100000
Training Epoch: 14 [29952/47500]	Loss: 1.0892	LR: 0.100000
Training Epoch: 14 [30208/47500]	Loss: 1.0819	LR: 0.100000
Training Epoch: 14 [30464/47500]	Loss: 0.9656	LR: 0.100000
Training Epoch: 14 [30720/47500]	Loss: 1.1270	LR: 0.100000
Training Epoch: 14 [30976/47500]	Loss: 0.9513	LR: 0.100000
Training Epoch: 14 [31232/47500]	Loss: 1.0891	LR: 0.100000
Training Epoch: 14 [31488/47500]	Loss: 0.9642	LR: 0.100000
Training Epoch: 14 [31744/47500]	Loss: 1.0027	LR: 0.100000
Training Epoch: 14 [32000/47500]	Loss: 1.1103	LR: 0.100000
Training Epoch: 14 [32256/47500]	Loss: 0.9728	LR: 0.100000
Training Epoch: 14 [32512/47500]	Loss: 0.9971	LR: 0.100000
Training Epoch: 14 [32768/47500]	Loss: 1.0484	LR: 0.100000
Training Epoch: 14 [33024/47500]	Loss: 0.9088	LR: 0.100000
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Training Epoch: 14 [33536/47500]	Loss: 1.0002	LR: 0.100000
Training Epoch: 14 [33792/47500]	Loss: 1.1221	LR: 0.100000
Training Epoch: 14 [34048/47500]	Loss: 1.0899	LR: 0.100000
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Training Epoch: 14 [47500/47500]	Loss: 1.1087	LR: 0.100000
Epoch 14 - Average Train Loss: 1.0029, Train Accuracy: 0.6793
Epoch 14 training time consumed: 25.80s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0047, Accuracy: 0.6394, Time consumed:0.88s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_22h_43m_16s/AllCNN-Cifar20-seed7-ret50-14-best.pth
Training Epoch: 15 [256/47500]	Loss: 0.8776	LR: 0.020000
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Training Epoch: 15 [47500/47500]	Loss: 0.7325	LR: 0.020000
Epoch 15 - Average Train Loss: 0.7714, Train Accuracy: 0.7520
Epoch 15 training time consumed: 25.78s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0033, Accuracy: 0.7373, Time consumed:0.87s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_22h_43m_16s/AllCNN-Cifar20-seed7-ret50-15-best.pth
Training Epoch: 16 [256/47500]	Loss: 0.5546	LR: 0.020000
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Training Epoch: 16 [15104/47500]	Loss: 0.6826	LR: 0.020000
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Training Epoch: 16 [19968/47500]	Loss: 0.6186	LR: 0.020000
Training Epoch: 16 [20224/47500]	Loss: 0.7332	LR: 0.020000
Training Epoch: 16 [20480/47500]	Loss: 0.6687	LR: 0.020000
Training Epoch: 16 [20736/47500]	Loss: 0.6802	LR: 0.020000
Training Epoch: 16 [20992/47500]	Loss: 0.7781	LR: 0.020000
Training Epoch: 16 [21248/47500]	Loss: 0.7316	LR: 0.020000
Training Epoch: 16 [21504/47500]	Loss: 0.8800	LR: 0.020000
Training Epoch: 16 [21760/47500]	Loss: 0.7290	LR: 0.020000
Training Epoch: 16 [22016/47500]	Loss: 0.6502	LR: 0.020000
Training Epoch: 16 [22272/47500]	Loss: 0.6844	LR: 0.020000
Training Epoch: 16 [22528/47500]	Loss: 0.6392	LR: 0.020000
Training Epoch: 16 [22784/47500]	Loss: 0.5995	LR: 0.020000
Training Epoch: 16 [23040/47500]	Loss: 0.7231	LR: 0.020000
Training Epoch: 16 [23296/47500]	Loss: 0.6918	LR: 0.020000
Training Epoch: 16 [23552/47500]	Loss: 0.7560	LR: 0.020000
Training Epoch: 16 [23808/47500]	Loss: 0.6300	LR: 0.020000
Training Epoch: 16 [24064/47500]	Loss: 0.7440	LR: 0.020000
Training Epoch: 16 [24320/47500]	Loss: 0.5636	LR: 0.020000
Training Epoch: 16 [24576/47500]	Loss: 0.6204	LR: 0.020000
Training Epoch: 16 [24832/47500]	Loss: 0.6401	LR: 0.020000
Training Epoch: 16 [25088/47500]	Loss: 0.6746	LR: 0.020000
Training Epoch: 16 [25344/47500]	Loss: 0.6650	LR: 0.020000
Training Epoch: 16 [25600/47500]	Loss: 0.5075	LR: 0.020000
Training Epoch: 16 [25856/47500]	Loss: 0.5718	LR: 0.020000
Training Epoch: 16 [26112/47500]	Loss: 0.7473	LR: 0.020000
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Training Epoch: 16 [27392/47500]	Loss: 0.7468	LR: 0.020000
Training Epoch: 16 [27648/47500]	Loss: 0.6015	LR: 0.020000
Training Epoch: 16 [27904/47500]	Loss: 0.7083	LR: 0.020000
Training Epoch: 16 [28160/47500]	Loss: 0.8724	LR: 0.020000
Training Epoch: 16 [28416/47500]	Loss: 0.6820	LR: 0.020000
Training Epoch: 16 [28672/47500]	Loss: 0.7061	LR: 0.020000
Training Epoch: 16 [28928/47500]	Loss: 0.6364	LR: 0.020000
Training Epoch: 16 [29184/47500]	Loss: 0.6991	LR: 0.020000
Training Epoch: 16 [29440/47500]	Loss: 0.6454	LR: 0.020000
Training Epoch: 16 [29696/47500]	Loss: 0.7338	LR: 0.020000
Training Epoch: 16 [29952/47500]	Loss: 0.6564	LR: 0.020000
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Training Epoch: 16 [30464/47500]	Loss: 0.6393	LR: 0.020000
Training Epoch: 16 [30720/47500]	Loss: 0.9172	LR: 0.020000
Training Epoch: 16 [30976/47500]	Loss: 0.5867	LR: 0.020000
Training Epoch: 16 [31232/47500]	Loss: 0.7262	LR: 0.020000
Training Epoch: 16 [31488/47500]	Loss: 0.6679	LR: 0.020000
Training Epoch: 16 [31744/47500]	Loss: 0.6982	LR: 0.020000
Training Epoch: 16 [32000/47500]	Loss: 0.7346	LR: 0.020000
Training Epoch: 16 [32256/47500]	Loss: 0.7886	LR: 0.020000
Training Epoch: 16 [32512/47500]	Loss: 0.5637	LR: 0.020000
Training Epoch: 16 [32768/47500]	Loss: 0.6408	LR: 0.020000
Training Epoch: 16 [33024/47500]	Loss: 0.6813	LR: 0.020000
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Training Epoch: 16 [34048/47500]	Loss: 0.6827	LR: 0.020000
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Training Epoch: 16 [34560/47500]	Loss: 0.6841	LR: 0.020000
Training Epoch: 16 [34816/47500]	Loss: 0.6698	LR: 0.020000
Training Epoch: 16 [35072/47500]	Loss: 0.6354	LR: 0.020000
Training Epoch: 16 [35328/47500]	Loss: 0.6117	LR: 0.020000
Training Epoch: 16 [35584/47500]	Loss: 0.5881	LR: 0.020000
Training Epoch: 16 [35840/47500]	Loss: 0.7191	LR: 0.020000
Training Epoch: 16 [36096/47500]	Loss: 0.6353	LR: 0.020000
Training Epoch: 16 [36352/47500]	Loss: 0.7006	LR: 0.020000
Training Epoch: 16 [36608/47500]	Loss: 0.8187	LR: 0.020000
Training Epoch: 16 [36864/47500]	Loss: 0.7308	LR: 0.020000
Training Epoch: 16 [37120/47500]	Loss: 0.6962	LR: 0.020000
Training Epoch: 16 [37376/47500]	Loss: 0.7497	LR: 0.020000
Training Epoch: 16 [37632/47500]	Loss: 0.6384	LR: 0.020000
Training Epoch: 16 [37888/47500]	Loss: 0.6449	LR: 0.020000
Training Epoch: 16 [38144/47500]	Loss: 0.8815	LR: 0.020000
Training Epoch: 16 [38400/47500]	Loss: 0.7762	LR: 0.020000
Training Epoch: 16 [38656/47500]	Loss: 0.6790	LR: 0.020000
Training Epoch: 16 [38912/47500]	Loss: 0.6405	LR: 0.020000
Training Epoch: 16 [39168/47500]	Loss: 0.6708	LR: 0.020000
Training Epoch: 16 [39424/47500]	Loss: 0.6814	LR: 0.020000
Training Epoch: 16 [39680/47500]	Loss: 0.7305	LR: 0.020000
Training Epoch: 16 [39936/47500]	Loss: 0.5603	LR: 0.020000
Training Epoch: 16 [40192/47500]	Loss: 0.6435	LR: 0.020000
Training Epoch: 16 [40448/47500]	Loss: 0.7963	LR: 0.020000
Training Epoch: 16 [40704/47500]	Loss: 0.7480	LR: 0.020000
Training Epoch: 16 [40960/47500]	Loss: 0.7168	LR: 0.020000
Training Epoch: 16 [41216/47500]	Loss: 0.7403	LR: 0.020000
Training Epoch: 16 [41472/47500]	Loss: 0.6913	LR: 0.020000
Training Epoch: 16 [41728/47500]	Loss: 0.7167	LR: 0.020000
Training Epoch: 16 [41984/47500]	Loss: 0.6421	LR: 0.020000
Training Epoch: 16 [42240/47500]	Loss: 0.5890	LR: 0.020000
Training Epoch: 16 [42496/47500]	Loss: 0.7627	LR: 0.020000
Training Epoch: 16 [42752/47500]	Loss: 0.6304	LR: 0.020000
Training Epoch: 16 [43008/47500]	Loss: 0.7347	LR: 0.020000
Training Epoch: 16 [43264/47500]	Loss: 0.7013	LR: 0.020000
Training Epoch: 16 [43520/47500]	Loss: 0.6521	LR: 0.020000
Training Epoch: 16 [43776/47500]	Loss: 0.6984	LR: 0.020000
Training Epoch: 16 [44032/47500]	Loss: 0.6917	LR: 0.020000
Training Epoch: 16 [44288/47500]	Loss: 0.6214	LR: 0.020000
Training Epoch: 16 [44544/47500]	Loss: 0.7705	LR: 0.020000
Training Epoch: 16 [44800/47500]	Loss: 0.6635	LR: 0.020000
Training Epoch: 16 [45056/47500]	Loss: 0.6535	LR: 0.020000
Training Epoch: 16 [45312/47500]	Loss: 0.6889	LR: 0.020000
Training Epoch: 16 [45568/47500]	Loss: 0.7564	LR: 0.020000
Training Epoch: 16 [45824/47500]	Loss: 0.7050	LR: 0.020000
Training Epoch: 16 [46080/47500]	Loss: 0.6608	LR: 0.020000
Training Epoch: 16 [46336/47500]	Loss: 0.5663	LR: 0.020000
Training Epoch: 16 [46592/47500]	Loss: 0.6979	LR: 0.020000
Training Epoch: 16 [46848/47500]	Loss: 0.8514	LR: 0.020000
Training Epoch: 16 [47104/47500]	Loss: 0.6567	LR: 0.020000
Training Epoch: 16 [47360/47500]	Loss: 0.7151	LR: 0.020000
Training Epoch: 16 [47500/47500]	Loss: 0.9108	LR: 0.020000
Epoch 16 - Average Train Loss: 0.6942, Train Accuracy: 0.7769
Epoch 16 training time consumed: 25.80s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0033, Accuracy: 0.7358, Time consumed:1.00s
Training Epoch: 17 [256/47500]	Loss: 0.7632	LR: 0.020000
Training Epoch: 17 [512/47500]	Loss: 0.6755	LR: 0.020000
Training Epoch: 17 [768/47500]	Loss: 0.5924	LR: 0.020000
Training Epoch: 17 [1024/47500]	Loss: 0.6018	LR: 0.020000
Training Epoch: 17 [1280/47500]	Loss: 0.7219	LR: 0.020000
Training Epoch: 17 [1536/47500]	Loss: 0.6504	LR: 0.020000
Training Epoch: 17 [1792/47500]	Loss: 0.6356	LR: 0.020000
Training Epoch: 17 [2048/47500]	Loss: 0.6018	LR: 0.020000
Training Epoch: 17 [2304/47500]	Loss: 0.7533	LR: 0.020000
Training Epoch: 17 [2560/47500]	Loss: 0.6923	LR: 0.020000
Training Epoch: 17 [2816/47500]	Loss: 0.5926	LR: 0.020000
Training Epoch: 17 [3072/47500]	Loss: 0.5995	LR: 0.020000
Training Epoch: 17 [3328/47500]	Loss: 0.6473	LR: 0.020000
Training Epoch: 17 [3584/47500]	Loss: 0.6810	LR: 0.020000
Training Epoch: 17 [3840/47500]	Loss: 0.5735	LR: 0.020000
Training Epoch: 17 [4096/47500]	Loss: 0.6974	LR: 0.020000
Training Epoch: 17 [4352/47500]	Loss: 0.6318	LR: 0.020000
Training Epoch: 17 [4608/47500]	Loss: 0.6220	LR: 0.020000
Training Epoch: 17 [4864/47500]	Loss: 0.6539	LR: 0.020000
Training Epoch: 17 [5120/47500]	Loss: 0.6277	LR: 0.020000
Training Epoch: 17 [5376/47500]	Loss: 0.6494	LR: 0.020000
Training Epoch: 17 [5632/47500]	Loss: 0.6268	LR: 0.020000
Training Epoch: 17 [5888/47500]	Loss: 0.6686	LR: 0.020000
Training Epoch: 17 [6144/47500]	Loss: 0.5842	LR: 0.020000
Training Epoch: 17 [6400/47500]	Loss: 0.6721	LR: 0.020000
Training Epoch: 17 [6656/47500]	Loss: 0.6945	LR: 0.020000
Training Epoch: 17 [6912/47500]	Loss: 0.6292	LR: 0.020000
Training Epoch: 17 [7168/47500]	Loss: 0.6873	LR: 0.020000
Training Epoch: 17 [7424/47500]	Loss: 0.6712	LR: 0.020000
Training Epoch: 17 [7680/47500]	Loss: 0.5696	LR: 0.020000
Training Epoch: 17 [7936/47500]	Loss: 0.7080	LR: 0.020000
Training Epoch: 17 [8192/47500]	Loss: 0.7037	LR: 0.020000
Training Epoch: 17 [8448/47500]	Loss: 0.6612	LR: 0.020000
Training Epoch: 17 [8704/47500]	Loss: 0.6294	LR: 0.020000
Training Epoch: 17 [8960/47500]	Loss: 0.7290	LR: 0.020000
Training Epoch: 17 [9216/47500]	Loss: 0.6663	LR: 0.020000
Training Epoch: 17 [9472/47500]	Loss: 0.6217	LR: 0.020000
Training Epoch: 17 [9728/47500]	Loss: 0.6200	LR: 0.020000
Training Epoch: 17 [9984/47500]	Loss: 0.6308	LR: 0.020000
Training Epoch: 17 [10240/47500]	Loss: 0.5643	LR: 0.020000
Training Epoch: 17 [10496/47500]	Loss: 0.5858	LR: 0.020000
Training Epoch: 17 [10752/47500]	Loss: 0.5802	LR: 0.020000
Training Epoch: 17 [11008/47500]	Loss: 0.6852	LR: 0.020000
Training Epoch: 17 [11264/47500]	Loss: 0.6100	LR: 0.020000
Training Epoch: 17 [11520/47500]	Loss: 0.7051	LR: 0.020000
Training Epoch: 17 [11776/47500]	Loss: 0.7270	LR: 0.020000
Training Epoch: 17 [12032/47500]	Loss: 0.5872	LR: 0.020000
Training Epoch: 17 [12288/47500]	Loss: 0.7105	LR: 0.020000
Training Epoch: 17 [12544/47500]	Loss: 0.6871	LR: 0.020000
Training Epoch: 17 [12800/47500]	Loss: 0.6288	LR: 0.020000
Training Epoch: 17 [13056/47500]	Loss: 0.6805	LR: 0.020000
Training Epoch: 17 [13312/47500]	Loss: 0.6838	LR: 0.020000
Training Epoch: 17 [13568/47500]	Loss: 0.6327	LR: 0.020000
Training Epoch: 17 [13824/47500]	Loss: 0.6762	LR: 0.020000
Training Epoch: 17 [14080/47500]	Loss: 0.6317	LR: 0.020000
Training Epoch: 17 [14336/47500]	Loss: 0.6395	LR: 0.020000
Training Epoch: 17 [14592/47500]	Loss: 0.7608	LR: 0.020000
Training Epoch: 17 [14848/47500]	Loss: 0.6618	LR: 0.020000
Training Epoch: 17 [15104/47500]	Loss: 0.6268	LR: 0.020000
Training Epoch: 17 [15360/47500]	Loss: 0.7133	LR: 0.020000
Training Epoch: 17 [15616/47500]	Loss: 0.7083	LR: 0.020000
Training Epoch: 17 [15872/47500]	Loss: 0.6447	LR: 0.020000
Training Epoch: 17 [16128/47500]	Loss: 0.7117	LR: 0.020000
Training Epoch: 17 [16384/47500]	Loss: 0.5765	LR: 0.020000
Training Epoch: 17 [16640/47500]	Loss: 0.6500	LR: 0.020000
Training Epoch: 17 [16896/47500]	Loss: 0.6774	LR: 0.020000
Training Epoch: 17 [17152/47500]	Loss: 0.7020	LR: 0.020000
Training Epoch: 17 [17408/47500]	Loss: 0.5951	LR: 0.020000
Training Epoch: 17 [17664/47500]	Loss: 0.6529	LR: 0.020000
Training Epoch: 17 [17920/47500]	Loss: 0.7338	LR: 0.020000
Training Epoch: 17 [18176/47500]	Loss: 0.7182	LR: 0.020000
Training Epoch: 17 [18432/47500]	Loss: 0.6583	LR: 0.020000
Training Epoch: 17 [18688/47500]	Loss: 0.6772	LR: 0.020000
Training Epoch: 17 [18944/47500]	Loss: 0.7024	LR: 0.020000
Training Epoch: 17 [19200/47500]	Loss: 0.6624	LR: 0.020000
Training Epoch: 17 [19456/47500]	Loss: 0.6505	LR: 0.020000
Training Epoch: 17 [19712/47500]	Loss: 0.6131	LR: 0.020000
Training Epoch: 17 [19968/47500]	Loss: 0.6110	LR: 0.020000
Training Epoch: 17 [20224/47500]	Loss: 0.6925	LR: 0.020000
Training Epoch: 17 [20480/47500]	Loss: 0.6913	LR: 0.020000
Training Epoch: 17 [20736/47500]	Loss: 0.6833	LR: 0.020000
Training Epoch: 17 [20992/47500]	Loss: 0.5788	LR: 0.020000
Training Epoch: 17 [21248/47500]	Loss: 0.6823	LR: 0.020000
Training Epoch: 17 [21504/47500]	Loss: 0.7384	LR: 0.020000
Training Epoch: 17 [21760/47500]	Loss: 0.6937	LR: 0.020000
Training Epoch: 17 [22016/47500]	Loss: 0.6179	LR: 0.020000
Training Epoch: 17 [22272/47500]	Loss: 0.6624	LR: 0.020000
Training Epoch: 17 [22528/47500]	Loss: 0.7325	LR: 0.020000
Training Epoch: 17 [22784/47500]	Loss: 0.6497	LR: 0.020000
Training Epoch: 17 [23040/47500]	Loss: 0.7105	LR: 0.020000
Training Epoch: 17 [23296/47500]	Loss: 0.7196	LR: 0.020000
Training Epoch: 17 [23552/47500]	Loss: 0.6398	LR: 0.020000
Training Epoch: 17 [23808/47500]	Loss: 0.6804	LR: 0.020000
Training Epoch: 17 [24064/47500]	Loss: 0.6965	LR: 0.020000
Training Epoch: 17 [24320/47500]	Loss: 0.6364	LR: 0.020000
Training Epoch: 17 [24576/47500]	Loss: 0.7355	LR: 0.020000
Training Epoch: 17 [24832/47500]	Loss: 0.6917	LR: 0.020000
Training Epoch: 17 [25088/47500]	Loss: 0.6863	LR: 0.020000
Training Epoch: 17 [25344/47500]	Loss: 0.7141	LR: 0.020000
Training Epoch: 17 [25600/47500]	Loss: 0.6662	LR: 0.020000
Training Epoch: 17 [25856/47500]	Loss: 0.6651	LR: 0.020000
Training Epoch: 17 [26112/47500]	Loss: 0.6429	LR: 0.020000
Training Epoch: 17 [26368/47500]	Loss: 0.6709	LR: 0.020000
Training Epoch: 17 [26624/47500]	Loss: 0.7289	LR: 0.020000
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Training Epoch: 17 [27136/47500]	Loss: 0.6443	LR: 0.020000
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Training Epoch: 17 [27648/47500]	Loss: 0.5937	LR: 0.020000
Training Epoch: 17 [27904/47500]	Loss: 0.6864	LR: 0.020000
Training Epoch: 17 [28160/47500]	Loss: 0.6787	LR: 0.020000
Training Epoch: 17 [28416/47500]	Loss: 0.6674	LR: 0.020000
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Training Epoch: 17 [28928/47500]	Loss: 0.6873	LR: 0.020000
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Training Epoch: 17 [29440/47500]	Loss: 0.8240	LR: 0.020000
Training Epoch: 17 [29696/47500]	Loss: 0.6257	LR: 0.020000
Training Epoch: 17 [29952/47500]	Loss: 0.7431	LR: 0.020000
Training Epoch: 17 [30208/47500]	Loss: 0.5623	LR: 0.020000
Training Epoch: 17 [30464/47500]	Loss: 0.7194	LR: 0.020000
Training Epoch: 17 [30720/47500]	Loss: 0.6070	LR: 0.020000
Training Epoch: 17 [30976/47500]	Loss: 0.6190	LR: 0.020000
Training Epoch: 17 [31232/47500]	Loss: 0.6922	LR: 0.020000
Training Epoch: 17 [31488/47500]	Loss: 0.5999	LR: 0.020000
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Training Epoch: 17 [32000/47500]	Loss: 0.6473	LR: 0.020000
Training Epoch: 17 [32256/47500]	Loss: 0.7010	LR: 0.020000
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Training Epoch: 17 [32768/47500]	Loss: 0.6528	LR: 0.020000
Training Epoch: 17 [33024/47500]	Loss: 0.6638	LR: 0.020000
Training Epoch: 17 [33280/47500]	Loss: 0.7167	LR: 0.020000
Training Epoch: 17 [33536/47500]	Loss: 0.7454	LR: 0.020000
Training Epoch: 17 [33792/47500]	Loss: 0.6468	LR: 0.020000
Training Epoch: 17 [34048/47500]	Loss: 0.7608	LR: 0.020000
Training Epoch: 17 [34304/47500]	Loss: 0.6885	LR: 0.020000
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Training Epoch: 17 [34816/47500]	Loss: 0.6551	LR: 0.020000
Training Epoch: 17 [35072/47500]	Loss: 0.6874	LR: 0.020000
Training Epoch: 17 [35328/47500]	Loss: 0.7145	LR: 0.020000
Training Epoch: 17 [35584/47500]	Loss: 0.6078	LR: 0.020000
Training Epoch: 17 [35840/47500]	Loss: 0.6397	LR: 0.020000
Training Epoch: 17 [36096/47500]	Loss: 0.6944	LR: 0.020000
Training Epoch: 17 [36352/47500]	Loss: 0.6315	LR: 0.020000
Training Epoch: 17 [36608/47500]	Loss: 0.6582	LR: 0.020000
Training Epoch: 17 [36864/47500]	Loss: 0.7207	LR: 0.020000
Training Epoch: 17 [37120/47500]	Loss: 0.7529	LR: 0.020000
Training Epoch: 17 [37376/47500]	Loss: 0.6571	LR: 0.020000
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Training Epoch: 17 [47500/47500]	Loss: 0.7408	LR: 0.020000
Epoch 17 - Average Train Loss: 0.6686, Train Accuracy: 0.7848
Epoch 17 training time consumed: 25.85s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0033, Accuracy: 0.7351, Time consumed:0.88s
Training Epoch: 18 [256/47500]	Loss: 0.6419	LR: 0.020000
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Training Epoch: 18 [47500/47500]	Loss: 0.7363	LR: 0.020000
Epoch 18 - Average Train Loss: 0.6429, Train Accuracy: 0.7949
Epoch 18 training time consumed: 25.85s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0033, Accuracy: 0.7471, Time consumed:0.97s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_22h_43m_16s/AllCNN-Cifar20-seed7-ret50-18-best.pth
Training Epoch: 19 [256/47500]	Loss: 0.5338	LR: 0.020000
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Training Epoch: 19 [14592/47500]	Loss: 0.5001	LR: 0.020000
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Training Epoch: 19 [15104/47500]	Loss: 0.5981	LR: 0.020000
Training Epoch: 19 [15360/47500]	Loss: 0.6886	LR: 0.020000
Training Epoch: 19 [15616/47500]	Loss: 0.6061	LR: 0.020000
Training Epoch: 19 [15872/47500]	Loss: 0.7594	LR: 0.020000
Training Epoch: 19 [16128/47500]	Loss: 0.7189	LR: 0.020000
Training Epoch: 19 [16384/47500]	Loss: 0.6130	LR: 0.020000
Training Epoch: 19 [16640/47500]	Loss: 0.6330	LR: 0.020000
Training Epoch: 19 [16896/47500]	Loss: 0.6904	LR: 0.020000
Training Epoch: 19 [17152/47500]	Loss: 0.7429	LR: 0.020000
Training Epoch: 19 [17408/47500]	Loss: 0.6243	LR: 0.020000
Training Epoch: 19 [17664/47500]	Loss: 0.4616	LR: 0.020000
Training Epoch: 19 [17920/47500]	Loss: 0.6645	LR: 0.020000
Training Epoch: 19 [18176/47500]	Loss: 0.6836	LR: 0.020000
Training Epoch: 19 [18432/47500]	Loss: 0.5824	LR: 0.020000
Training Epoch: 19 [18688/47500]	Loss: 0.5430	LR: 0.020000
Training Epoch: 19 [18944/47500]	Loss: 0.6712	LR: 0.020000
Training Epoch: 19 [19200/47500]	Loss: 0.6238	LR: 0.020000
Training Epoch: 19 [19456/47500]	Loss: 0.7160	LR: 0.020000
Training Epoch: 19 [19712/47500]	Loss: 0.6763	LR: 0.020000
Training Epoch: 19 [19968/47500]	Loss: 0.6497	LR: 0.020000
Training Epoch: 19 [20224/47500]	Loss: 0.5606	LR: 0.020000
Training Epoch: 19 [20480/47500]	Loss: 0.5405	LR: 0.020000
Training Epoch: 19 [20736/47500]	Loss: 0.6429	LR: 0.020000
Training Epoch: 19 [20992/47500]	Loss: 0.6323	LR: 0.020000
Training Epoch: 19 [21248/47500]	Loss: 0.7287	LR: 0.020000
Training Epoch: 19 [21504/47500]	Loss: 0.5930	LR: 0.020000
Training Epoch: 19 [21760/47500]	Loss: 0.6025	LR: 0.020000
Training Epoch: 19 [22016/47500]	Loss: 0.5005	LR: 0.020000
Training Epoch: 19 [22272/47500]	Loss: 0.6512	LR: 0.020000
Training Epoch: 19 [22528/47500]	Loss: 0.6756	LR: 0.020000
Training Epoch: 19 [22784/47500]	Loss: 0.5895	LR: 0.020000
Training Epoch: 19 [23040/47500]	Loss: 0.6115	LR: 0.020000
Training Epoch: 19 [23296/47500]	Loss: 0.6327	LR: 0.020000
Training Epoch: 19 [23552/47500]	Loss: 0.6247	LR: 0.020000
Training Epoch: 19 [23808/47500]	Loss: 0.6678	LR: 0.020000
Training Epoch: 19 [24064/47500]	Loss: 0.7128	LR: 0.020000
Training Epoch: 19 [24320/47500]	Loss: 0.6612	LR: 0.020000
Training Epoch: 19 [24576/47500]	Loss: 0.7162	LR: 0.020000
Training Epoch: 19 [24832/47500]	Loss: 0.6465	LR: 0.020000
Training Epoch: 19 [25088/47500]	Loss: 0.6019	LR: 0.020000
Training Epoch: 19 [25344/47500]	Loss: 0.5291	LR: 0.020000
Training Epoch: 19 [25600/47500]	Loss: 0.5751	LR: 0.020000
Training Epoch: 19 [25856/47500]	Loss: 0.6449	LR: 0.020000
Training Epoch: 19 [26112/47500]	Loss: 0.6232	LR: 0.020000
Training Epoch: 19 [26368/47500]	Loss: 0.6419	LR: 0.020000
Training Epoch: 19 [26624/47500]	Loss: 0.6210	LR: 0.020000
Training Epoch: 19 [26880/47500]	Loss: 0.5633	LR: 0.020000
Training Epoch: 19 [27136/47500]	Loss: 0.6077	LR: 0.020000
Training Epoch: 19 [27392/47500]	Loss: 0.6890	LR: 0.020000
Training Epoch: 19 [27648/47500]	Loss: 0.6971	LR: 0.020000
Training Epoch: 19 [27904/47500]	Loss: 0.6129	LR: 0.020000
Training Epoch: 19 [28160/47500]	Loss: 0.6001	LR: 0.020000
Training Epoch: 19 [28416/47500]	Loss: 0.6124	LR: 0.020000
Training Epoch: 19 [28672/47500]	Loss: 0.6167	LR: 0.020000
Training Epoch: 19 [28928/47500]	Loss: 0.6007	LR: 0.020000
Training Epoch: 19 [29184/47500]	Loss: 0.5389	LR: 0.020000
Training Epoch: 19 [29440/47500]	Loss: 0.6292	LR: 0.020000
Training Epoch: 19 [29696/47500]	Loss: 0.5446	LR: 0.020000
Training Epoch: 19 [29952/47500]	Loss: 0.6128	LR: 0.020000
Training Epoch: 19 [30208/47500]	Loss: 0.6042	LR: 0.020000
Training Epoch: 19 [30464/47500]	Loss: 0.5674	LR: 0.020000
Training Epoch: 19 [30720/47500]	Loss: 0.6497	LR: 0.020000
Training Epoch: 19 [30976/47500]	Loss: 0.6500	LR: 0.020000
Training Epoch: 19 [31232/47500]	Loss: 0.5725	LR: 0.020000
Training Epoch: 19 [31488/47500]	Loss: 0.7238	LR: 0.020000
Training Epoch: 19 [31744/47500]	Loss: 0.5929	LR: 0.020000
Training Epoch: 19 [32000/47500]	Loss: 0.6681	LR: 0.020000
Training Epoch: 19 [32256/47500]	Loss: 0.6496	LR: 0.020000
Training Epoch: 19 [32512/47500]	Loss: 0.6977	LR: 0.020000
Training Epoch: 19 [32768/47500]	Loss: 0.5406	LR: 0.020000
Training Epoch: 19 [33024/47500]	Loss: 0.6618	LR: 0.020000
Training Epoch: 19 [33280/47500]	Loss: 0.5914	LR: 0.020000
Training Epoch: 19 [33536/47500]	Loss: 0.7017	LR: 0.020000
Training Epoch: 19 [33792/47500]	Loss: 0.5414	LR: 0.020000
Training Epoch: 19 [34048/47500]	Loss: 0.5387	LR: 0.020000
Training Epoch: 19 [34304/47500]	Loss: 0.6804	LR: 0.020000
Training Epoch: 19 [34560/47500]	Loss: 0.6535	LR: 0.020000
Training Epoch: 19 [34816/47500]	Loss: 0.5496	LR: 0.020000
Training Epoch: 19 [35072/47500]	Loss: 0.6931	LR: 0.020000
Training Epoch: 19 [35328/47500]	Loss: 0.7245	LR: 0.020000
Training Epoch: 19 [35584/47500]	Loss: 0.6188	LR: 0.020000
Training Epoch: 19 [35840/47500]	Loss: 0.6122	LR: 0.020000
Training Epoch: 19 [36096/47500]	Loss: 0.5403	LR: 0.020000
Training Epoch: 19 [36352/47500]	Loss: 0.5366	LR: 0.020000
Training Epoch: 19 [36608/47500]	Loss: 0.5711	LR: 0.020000
Training Epoch: 19 [36864/47500]	Loss: 0.6295	LR: 0.020000
Training Epoch: 19 [37120/47500]	Loss: 0.6775	LR: 0.020000
Training Epoch: 19 [37376/47500]	Loss: 0.6520	LR: 0.020000
Training Epoch: 19 [37632/47500]	Loss: 0.6292	LR: 0.020000
Training Epoch: 19 [37888/47500]	Loss: 0.6708	LR: 0.020000
Training Epoch: 19 [38144/47500]	Loss: 0.7203	LR: 0.020000
Training Epoch: 19 [38400/47500]	Loss: 0.4622	LR: 0.020000
Training Epoch: 19 [38656/47500]	Loss: 0.4734	LR: 0.020000
Training Epoch: 19 [38912/47500]	Loss: 0.6829	LR: 0.020000
Training Epoch: 19 [39168/47500]	Loss: 0.5829	LR: 0.020000
Training Epoch: 19 [39424/47500]	Loss: 0.5617	LR: 0.020000
Training Epoch: 19 [39680/47500]	Loss: 0.6389	LR: 0.020000
Training Epoch: 19 [39936/47500]	Loss: 0.6695	LR: 0.020000
Training Epoch: 19 [40192/47500]	Loss: 0.4676	LR: 0.020000
Training Epoch: 19 [40448/47500]	Loss: 0.5501	LR: 0.020000
Training Epoch: 19 [40704/47500]	Loss: 0.5844	LR: 0.020000
Training Epoch: 19 [40960/47500]	Loss: 0.6186	LR: 0.020000
Training Epoch: 19 [41216/47500]	Loss: 0.6748	LR: 0.020000
Training Epoch: 19 [41472/47500]	Loss: 0.7398	LR: 0.020000
Training Epoch: 19 [41728/47500]	Loss: 0.6928	LR: 0.020000
Training Epoch: 19 [41984/47500]	Loss: 0.6424	LR: 0.020000
Training Epoch: 19 [42240/47500]	Loss: 0.6227	LR: 0.020000
Training Epoch: 19 [42496/47500]	Loss: 0.6495	LR: 0.020000
Training Epoch: 19 [42752/47500]	Loss: 0.7094	LR: 0.020000
Training Epoch: 19 [43008/47500]	Loss: 0.5443	LR: 0.020000
Training Epoch: 19 [43264/47500]	Loss: 0.6816	LR: 0.020000
Training Epoch: 19 [43520/47500]	Loss: 0.6229	LR: 0.020000
Training Epoch: 19 [43776/47500]	Loss: 0.5658	LR: 0.020000
Training Epoch: 19 [44032/47500]	Loss: 0.6276	LR: 0.020000
Training Epoch: 19 [44288/47500]	Loss: 0.6147	LR: 0.020000
Training Epoch: 19 [44544/47500]	Loss: 0.5852	LR: 0.020000
Training Epoch: 19 [44800/47500]	Loss: 0.5217	LR: 0.020000
Training Epoch: 19 [45056/47500]	Loss: 0.7003	LR: 0.020000
Training Epoch: 19 [45312/47500]	Loss: 0.6643	LR: 0.020000
Training Epoch: 19 [45568/47500]	Loss: 0.5093	LR: 0.020000
Training Epoch: 19 [45824/47500]	Loss: 0.6612	LR: 0.020000
Training Epoch: 19 [46080/47500]	Loss: 0.7316	LR: 0.020000
Training Epoch: 19 [46336/47500]	Loss: 0.6356	LR: 0.020000
Training Epoch: 19 [46592/47500]	Loss: 0.5830	LR: 0.020000
Training Epoch: 19 [46848/47500]	Loss: 0.6657	LR: 0.020000
Training Epoch: 19 [47104/47500]	Loss: 0.6248	LR: 0.020000
Training Epoch: 19 [47360/47500]	Loss: 0.7123	LR: 0.020000
Training Epoch: 19 [47500/47500]	Loss: 0.9927	LR: 0.020000
Epoch 19 - Average Train Loss: 0.6207, Train Accuracy: 0.7997
Epoch 19 training time consumed: 26.32s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0034, Accuracy: 0.7368, Time consumed:0.86s
Training Epoch: 20 [256/47500]	Loss: 0.5556	LR: 0.020000
Training Epoch: 20 [512/47500]	Loss: 0.4691	LR: 0.020000
Training Epoch: 20 [768/47500]	Loss: 0.6320	LR: 0.020000
Training Epoch: 20 [1024/47500]	Loss: 0.5815	LR: 0.020000
Training Epoch: 20 [1280/47500]	Loss: 0.6404	LR: 0.020000
Training Epoch: 20 [1536/47500]	Loss: 0.5751	LR: 0.020000
Training Epoch: 20 [1792/47500]	Loss: 0.6434	LR: 0.020000
Training Epoch: 20 [2048/47500]	Loss: 0.7100	LR: 0.020000
Training Epoch: 20 [2304/47500]	Loss: 0.5561	LR: 0.020000
Training Epoch: 20 [2560/47500]	Loss: 0.5383	LR: 0.020000
Training Epoch: 20 [2816/47500]	Loss: 0.4403	LR: 0.020000
Training Epoch: 20 [3072/47500]	Loss: 0.5566	LR: 0.020000
Training Epoch: 20 [3328/47500]	Loss: 0.6102	LR: 0.020000
Training Epoch: 20 [3584/47500]	Loss: 0.4828	LR: 0.020000
Training Epoch: 20 [3840/47500]	Loss: 0.6050	LR: 0.020000
Training Epoch: 20 [4096/47500]	Loss: 0.6375	LR: 0.020000
Training Epoch: 20 [4352/47500]	Loss: 0.6469	LR: 0.020000
Training Epoch: 20 [4608/47500]	Loss: 0.5413	LR: 0.020000
Training Epoch: 20 [4864/47500]	Loss: 0.6247	LR: 0.020000
Training Epoch: 20 [5120/47500]	Loss: 0.4951	LR: 0.020000
Training Epoch: 20 [5376/47500]	Loss: 0.5199	LR: 0.020000
Training Epoch: 20 [5632/47500]	Loss: 0.5996	LR: 0.020000
Training Epoch: 20 [5888/47500]	Loss: 0.5572	LR: 0.020000
Training Epoch: 20 [6144/47500]	Loss: 0.5485	LR: 0.020000
Training Epoch: 20 [6400/47500]	Loss: 0.4934	LR: 0.020000
Training Epoch: 20 [6656/47500]	Loss: 0.4748	LR: 0.020000
Training Epoch: 20 [6912/47500]	Loss: 0.5431	LR: 0.020000
Training Epoch: 20 [7168/47500]	Loss: 0.6445	LR: 0.020000
Training Epoch: 20 [7424/47500]	Loss: 0.6159	LR: 0.020000
Training Epoch: 20 [7680/47500]	Loss: 0.6133	LR: 0.020000
Training Epoch: 20 [7936/47500]	Loss: 0.6469	LR: 0.020000
Training Epoch: 20 [8192/47500]	Loss: 0.6591	LR: 0.020000
Training Epoch: 20 [8448/47500]	Loss: 0.4730	LR: 0.020000
Training Epoch: 20 [8704/47500]	Loss: 0.6751	LR: 0.020000
Training Epoch: 20 [8960/47500]	Loss: 0.6287	LR: 0.020000
Training Epoch: 20 [9216/47500]	Loss: 0.4983	LR: 0.020000
Training Epoch: 20 [9472/47500]	Loss: 0.7721	LR: 0.020000
Training Epoch: 20 [9728/47500]	Loss: 0.5503	LR: 0.020000
Training Epoch: 20 [9984/47500]	Loss: 0.6790	LR: 0.020000
Training Epoch: 20 [10240/47500]	Loss: 0.6135	LR: 0.020000
Training Epoch: 20 [10496/47500]	Loss: 0.6739	LR: 0.020000
Training Epoch: 20 [10752/47500]	Loss: 0.4948	LR: 0.020000
Training Epoch: 20 [11008/47500]	Loss: 0.5173	LR: 0.020000
Training Epoch: 20 [11264/47500]	Loss: 0.6597	LR: 0.020000
Training Epoch: 20 [11520/47500]	Loss: 0.5341	LR: 0.020000
Training Epoch: 20 [11776/47500]	Loss: 0.4305	LR: 0.020000
Training Epoch: 20 [12032/47500]	Loss: 0.5810	LR: 0.020000
Training Epoch: 20 [12288/47500]	Loss: 0.6944	LR: 0.020000
Training Epoch: 20 [12544/47500]	Loss: 0.6085	LR: 0.020000
Training Epoch: 20 [12800/47500]	Loss: 0.5189	LR: 0.020000
Training Epoch: 20 [13056/47500]	Loss: 0.5871	LR: 0.020000
Training Epoch: 20 [13312/47500]	Loss: 0.6949	LR: 0.020000
Training Epoch: 20 [13568/47500]	Loss: 0.5599	LR: 0.020000
Training Epoch: 20 [13824/47500]	Loss: 0.6566	LR: 0.020000
Training Epoch: 20 [14080/47500]	Loss: 0.5699	LR: 0.020000
Training Epoch: 20 [14336/47500]	Loss: 0.6131	LR: 0.020000
Training Epoch: 20 [14592/47500]	Loss: 0.5801	LR: 0.020000
Training Epoch: 20 [14848/47500]	Loss: 0.4616	LR: 0.020000
Training Epoch: 20 [15104/47500]	Loss: 0.6255	LR: 0.020000
Training Epoch: 20 [15360/47500]	Loss: 0.5967	LR: 0.020000
Training Epoch: 20 [15616/47500]	Loss: 0.7749	LR: 0.020000
Training Epoch: 20 [15872/47500]	Loss: 0.6187	LR: 0.020000
Training Epoch: 20 [16128/47500]	Loss: 0.6058	LR: 0.020000
Training Epoch: 20 [16384/47500]	Loss: 0.5976	LR: 0.020000
Training Epoch: 20 [16640/47500]	Loss: 0.5989	LR: 0.020000
Training Epoch: 20 [16896/47500]	Loss: 0.6424	LR: 0.020000
Training Epoch: 20 [17152/47500]	Loss: 0.6535	LR: 0.020000
Training Epoch: 20 [17408/47500]	Loss: 0.5756	LR: 0.020000
Training Epoch: 20 [17664/47500]	Loss: 0.6239	LR: 0.020000
Training Epoch: 20 [17920/47500]	Loss: 0.6500	LR: 0.020000
Training Epoch: 20 [18176/47500]	Loss: 0.6548	LR: 0.020000
Training Epoch: 20 [18432/47500]	Loss: 0.6527	LR: 0.020000
Training Epoch: 20 [18688/47500]	Loss: 0.6203	LR: 0.020000
Training Epoch: 20 [18944/47500]	Loss: 0.5297	LR: 0.020000
Training Epoch: 20 [19200/47500]	Loss: 0.6817	LR: 0.020000
Training Epoch: 20 [19456/47500]	Loss: 0.6735	LR: 0.020000
Training Epoch: 20 [19712/47500]	Loss: 0.5110	LR: 0.020000
Training Epoch: 20 [19968/47500]	Loss: 0.5784	LR: 0.020000
Training Epoch: 20 [20224/47500]	Loss: 0.5553	LR: 0.020000
Training Epoch: 20 [20480/47500]	Loss: 0.6307	LR: 0.020000
Training Epoch: 20 [20736/47500]	Loss: 0.5341	LR: 0.020000
Training Epoch: 20 [20992/47500]	Loss: 0.6133	LR: 0.020000
Training Epoch: 20 [21248/47500]	Loss: 0.5572	LR: 0.020000
Training Epoch: 20 [21504/47500]	Loss: 0.5807	LR: 0.020000
Training Epoch: 20 [21760/47500]	Loss: 0.7030	LR: 0.020000
Training Epoch: 20 [22016/47500]	Loss: 0.5306	LR: 0.020000
Training Epoch: 20 [22272/47500]	Loss: 0.5776	LR: 0.020000
Training Epoch: 20 [22528/47500]	Loss: 0.6241	LR: 0.020000
Training Epoch: 20 [22784/47500]	Loss: 0.6658	LR: 0.020000
Training Epoch: 20 [23040/47500]	Loss: 0.6557	LR: 0.020000
Training Epoch: 20 [23296/47500]	Loss: 0.5696	LR: 0.020000
Training Epoch: 20 [23552/47500]	Loss: 0.6280	LR: 0.020000
Training Epoch: 20 [23808/47500]	Loss: 0.5229	LR: 0.020000
Training Epoch: 20 [24064/47500]	Loss: 0.6220	LR: 0.020000
Training Epoch: 20 [24320/47500]	Loss: 0.6255	LR: 0.020000
Training Epoch: 20 [24576/47500]	Loss: 0.6143	LR: 0.020000
Training Epoch: 20 [24832/47500]	Loss: 0.6278	LR: 0.020000
Training Epoch: 20 [25088/47500]	Loss: 0.6275	LR: 0.020000
Training Epoch: 20 [25344/47500]	Loss: 0.5324	LR: 0.020000
Training Epoch: 20 [25600/47500]	Loss: 0.5590	LR: 0.020000
Training Epoch: 20 [25856/47500]	Loss: 0.5776	LR: 0.020000
Training Epoch: 20 [26112/47500]	Loss: 0.6566	LR: 0.020000
Training Epoch: 20 [26368/47500]	Loss: 0.7653	LR: 0.020000
Training Epoch: 20 [26624/47500]	Loss: 0.4761	LR: 0.020000
Training Epoch: 20 [26880/47500]	Loss: 0.6224	LR: 0.020000
Training Epoch: 20 [27136/47500]	Loss: 0.5745	LR: 0.020000
Training Epoch: 20 [27392/47500]	Loss: 0.5950	LR: 0.020000
Training Epoch: 20 [27648/47500]	Loss: 0.6091	LR: 0.020000
Training Epoch: 20 [27904/47500]	Loss: 0.5404	LR: 0.020000
Training Epoch: 20 [28160/47500]	Loss: 0.6638	LR: 0.020000
Training Epoch: 20 [28416/47500]	Loss: 0.5148	LR: 0.020000
Training Epoch: 20 [28672/47500]	Loss: 0.4766	LR: 0.020000
Training Epoch: 20 [28928/47500]	Loss: 0.6970	LR: 0.020000
Training Epoch: 20 [29184/47500]	Loss: 0.6645	LR: 0.020000
Training Epoch: 20 [29440/47500]	Loss: 0.6151	LR: 0.020000
Training Epoch: 20 [29696/47500]	Loss: 0.5643	LR: 0.020000
Training Epoch: 20 [29952/47500]	Loss: 0.6658	LR: 0.020000
Training Epoch: 20 [30208/47500]	Loss: 0.6301	LR: 0.020000
Training Epoch: 20 [30464/47500]	Loss: 0.5968	LR: 0.020000
Training Epoch: 20 [30720/47500]	Loss: 0.6244	LR: 0.020000
Training Epoch: 20 [30976/47500]	Loss: 0.6263	LR: 0.020000
Training Epoch: 20 [31232/47500]	Loss: 0.6461	LR: 0.020000
Training Epoch: 20 [31488/47500]	Loss: 0.4837	LR: 0.020000
Training Epoch: 20 [31744/47500]	Loss: 0.6668	LR: 0.020000
Training Epoch: 20 [32000/47500]	Loss: 0.5546	LR: 0.020000
Training Epoch: 20 [32256/47500]	Loss: 0.6126	LR: 0.020000
Training Epoch: 20 [32512/47500]	Loss: 0.6452	LR: 0.020000
Training Epoch: 20 [32768/47500]	Loss: 0.7189	LR: 0.020000
Training Epoch: 20 [33024/47500]	Loss: 0.6497	LR: 0.020000
Training Epoch: 20 [33280/47500]	Loss: 0.6426	LR: 0.020000
Training Epoch: 20 [33536/47500]	Loss: 0.6143	LR: 0.020000
Training Epoch: 20 [33792/47500]	Loss: 0.6156	LR: 0.020000
Training Epoch: 20 [34048/47500]	Loss: 0.5566	LR: 0.020000
Training Epoch: 20 [34304/47500]	Loss: 0.6692	LR: 0.020000
Training Epoch: 20 [34560/47500]	Loss: 0.6319	LR: 0.020000
Training Epoch: 20 [34816/47500]	Loss: 0.6044	LR: 0.020000
Training Epoch: 20 [35072/47500]	Loss: 0.6651	LR: 0.020000
Training Epoch: 20 [35328/47500]	Loss: 0.5017	LR: 0.020000
Training Epoch: 20 [35584/47500]	Loss: 0.6184	LR: 0.020000
Training Epoch: 20 [35840/47500]	Loss: 0.6387	LR: 0.020000
Training Epoch: 20 [36096/47500]	Loss: 0.6105	LR: 0.020000
Training Epoch: 20 [36352/47500]	Loss: 0.6047	LR: 0.020000
Training Epoch: 20 [36608/47500]	Loss: 0.7273	LR: 0.020000
Training Epoch: 20 [36864/47500]	Loss: 0.6752	LR: 0.020000
Training Epoch: 20 [37120/47500]	Loss: 0.6426	LR: 0.020000
Training Epoch: 20 [37376/47500]	Loss: 0.6300	LR: 0.020000
Training Epoch: 20 [37632/47500]	Loss: 0.7313	LR: 0.020000
Training Epoch: 20 [37888/47500]	Loss: 0.5986	LR: 0.020000
Training Epoch: 20 [38144/47500]	Loss: 0.6574	LR: 0.020000
Training Epoch: 20 [38400/47500]	Loss: 0.5430	LR: 0.020000
Training Epoch: 20 [38656/47500]	Loss: 0.6660	LR: 0.020000
Training Epoch: 20 [38912/47500]	Loss: 0.7082	LR: 0.020000
Training Epoch: 20 [39168/47500]	Loss: 0.6709	LR: 0.020000
Training Epoch: 20 [39424/47500]	Loss: 0.6802	LR: 0.020000
Training Epoch: 20 [39680/47500]	Loss: 0.5381	LR: 0.020000
Training Epoch: 20 [39936/47500]	Loss: 0.6081	LR: 0.020000
Training Epoch: 20 [40192/47500]	Loss: 0.6632	LR: 0.020000
Training Epoch: 20 [40448/47500]	Loss: 0.6723	LR: 0.020000
Training Epoch: 20 [40704/47500]	Loss: 0.7437	LR: 0.020000
Training Epoch: 20 [40960/47500]	Loss: 0.6025	LR: 0.020000
Training Epoch: 20 [41216/47500]	Loss: 0.6779	LR: 0.020000
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Training Epoch: 20 [41984/47500]	Loss: 0.6337	LR: 0.020000
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Training Epoch: 20 [43008/47500]	Loss: 0.5876	LR: 0.020000
Training Epoch: 20 [43264/47500]	Loss: 0.6359	LR: 0.020000
Training Epoch: 20 [43520/47500]	Loss: 0.6011	LR: 0.020000
Training Epoch: 20 [43776/47500]	Loss: 0.7085	LR: 0.020000
Training Epoch: 20 [44032/47500]	Loss: 0.5602	LR: 0.020000
Training Epoch: 20 [44288/47500]	Loss: 0.6294	LR: 0.020000
Training Epoch: 20 [44544/47500]	Loss: 0.5750	LR: 0.020000
Training Epoch: 20 [44800/47500]	Loss: 0.7183	LR: 0.020000
Training Epoch: 20 [45056/47500]	Loss: 0.7237	LR: 0.020000
Training Epoch: 20 [45312/47500]	Loss: 0.6310	LR: 0.020000
Training Epoch: 20 [45568/47500]	Loss: 0.6332	LR: 0.020000
Training Epoch: 20 [45824/47500]	Loss: 0.7042	LR: 0.020000
Training Epoch: 20 [46080/47500]	Loss: 0.6474	LR: 0.020000
Training Epoch: 20 [46336/47500]	Loss: 0.6111	LR: 0.020000
Training Epoch: 20 [46592/47500]	Loss: 0.6857	LR: 0.020000
Training Epoch: 20 [46848/47500]	Loss: 0.5547	LR: 0.020000
Training Epoch: 20 [47104/47500]	Loss: 0.6133	LR: 0.020000
Training Epoch: 20 [47360/47500]	Loss: 0.5997	LR: 0.020000
Training Epoch: 20 [47500/47500]	Loss: 0.6607	LR: 0.020000
Epoch 20 - Average Train Loss: 0.6092, Train Accuracy: 0.8046
Epoch 20 training time consumed: 25.97s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0035, Accuracy: 0.7311, Time consumed:0.91s
Training Epoch: 21 [256/47500]	Loss: 0.5108	LR: 0.020000
Training Epoch: 21 [512/47500]	Loss: 0.6234	LR: 0.020000
Training Epoch: 21 [768/47500]	Loss: 0.6514	LR: 0.020000
Training Epoch: 21 [1024/47500]	Loss: 0.5367	LR: 0.020000
Training Epoch: 21 [1280/47500]	Loss: 0.5630	LR: 0.020000
Training Epoch: 21 [1536/47500]	Loss: 0.7158	LR: 0.020000
Training Epoch: 21 [1792/47500]	Loss: 0.5222	LR: 0.020000
Training Epoch: 21 [2048/47500]	Loss: 0.6425	LR: 0.020000
Training Epoch: 21 [2304/47500]	Loss: 0.5507	LR: 0.020000
Training Epoch: 21 [2560/47500]	Loss: 0.6168	LR: 0.020000
Training Epoch: 21 [2816/47500]	Loss: 0.6076	LR: 0.020000
Training Epoch: 21 [3072/47500]	Loss: 0.5718	LR: 0.020000
Training Epoch: 21 [3328/47500]	Loss: 0.5032	LR: 0.020000
Training Epoch: 21 [3584/47500]	Loss: 0.5051	LR: 0.020000
Training Epoch: 21 [3840/47500]	Loss: 0.4650	LR: 0.020000
Training Epoch: 21 [4096/47500]	Loss: 0.5774	LR: 0.020000
Training Epoch: 21 [4352/47500]	Loss: 0.6243	LR: 0.020000
Training Epoch: 21 [4608/47500]	Loss: 0.5208	LR: 0.020000
Training Epoch: 21 [4864/47500]	Loss: 0.6897	LR: 0.020000
Training Epoch: 21 [5120/47500]	Loss: 0.6065	LR: 0.020000
Training Epoch: 21 [5376/47500]	Loss: 0.5251	LR: 0.020000
Training Epoch: 21 [5632/47500]	Loss: 0.5983	LR: 0.020000
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Training Epoch: 21 [6144/47500]	Loss: 0.5581	LR: 0.020000
Training Epoch: 21 [6400/47500]	Loss: 0.6115	LR: 0.020000
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Training Epoch: 21 [7168/47500]	Loss: 0.5782	LR: 0.020000
Training Epoch: 21 [7424/47500]	Loss: 0.4535	LR: 0.020000
Training Epoch: 21 [7680/47500]	Loss: 0.5388	LR: 0.020000
Training Epoch: 21 [7936/47500]	Loss: 0.5386	LR: 0.020000
Training Epoch: 21 [8192/47500]	Loss: 0.6337	LR: 0.020000
Training Epoch: 21 [8448/47500]	Loss: 0.7053	LR: 0.020000
Training Epoch: 21 [8704/47500]	Loss: 0.6066	LR: 0.020000
Training Epoch: 21 [8960/47500]	Loss: 0.5382	LR: 0.020000
Training Epoch: 21 [9216/47500]	Loss: 0.6010	LR: 0.020000
Training Epoch: 21 [9472/47500]	Loss: 0.5631	LR: 0.020000
Training Epoch: 21 [9728/47500]	Loss: 0.5564	LR: 0.020000
Training Epoch: 21 [9984/47500]	Loss: 0.4601	LR: 0.020000
Training Epoch: 21 [10240/47500]	Loss: 0.6016	LR: 0.020000
Training Epoch: 21 [10496/47500]	Loss: 0.6277	LR: 0.020000
Training Epoch: 21 [10752/47500]	Loss: 0.6492	LR: 0.020000
Training Epoch: 21 [11008/47500]	Loss: 0.5830	LR: 0.020000
Training Epoch: 21 [11264/47500]	Loss: 0.5600	LR: 0.020000
Training Epoch: 21 [11520/47500]	Loss: 0.6151	LR: 0.020000
Training Epoch: 21 [11776/47500]	Loss: 0.6105	LR: 0.020000
Training Epoch: 21 [12032/47500]	Loss: 0.6301	LR: 0.020000
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Training Epoch: 21 [15872/47500]	Loss: 0.5035	LR: 0.020000
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Training Epoch: 21 [16896/47500]	Loss: 0.5651	LR: 0.020000
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Training Epoch: 21 [18176/47500]	Loss: 0.6042	LR: 0.020000
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Training Epoch: 21 [41728/47500]	Loss: 0.5533	LR: 0.020000
Training Epoch: 21 [41984/47500]	Loss: 0.5781	LR: 0.020000
Training Epoch: 21 [42240/47500]	Loss: 0.7005	LR: 0.020000
Training Epoch: 21 [42496/47500]	Loss: 0.4575	LR: 0.020000
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Training Epoch: 21 [43264/47500]	Loss: 0.5210	LR: 0.020000
Training Epoch: 21 [43520/47500]	Loss: 0.5292	LR: 0.020000
Training Epoch: 21 [43776/47500]	Loss: 0.7444	LR: 0.020000
Training Epoch: 21 [44032/47500]	Loss: 0.5705	LR: 0.020000
Training Epoch: 21 [44288/47500]	Loss: 0.5457	LR: 0.020000
Training Epoch: 21 [44544/47500]	Loss: 0.7237	LR: 0.020000
Training Epoch: 21 [44800/47500]	Loss: 0.6095	LR: 0.020000
Training Epoch: 21 [45056/47500]	Loss: 0.7116	LR: 0.020000
Training Epoch: 21 [45312/47500]	Loss: 0.6338	LR: 0.020000
Training Epoch: 21 [45568/47500]	Loss: 0.6117	LR: 0.020000
Training Epoch: 21 [45824/47500]	Loss: 0.5353	LR: 0.020000
Training Epoch: 21 [46080/47500]	Loss: 0.6605	LR: 0.020000
Training Epoch: 21 [46336/47500]	Loss: 0.5230	LR: 0.020000
Training Epoch: 21 [46592/47500]	Loss: 0.6841	LR: 0.020000
Training Epoch: 21 [46848/47500]	Loss: 0.5237	LR: 0.020000
Training Epoch: 21 [47104/47500]	Loss: 0.6175	LR: 0.020000
Training Epoch: 21 [47360/47500]	Loss: 0.5855	LR: 0.020000
Training Epoch: 21 [47500/47500]	Loss: 0.6075	LR: 0.020000
Epoch 21 - Average Train Loss: 0.5912, Train Accuracy: 0.8108
Epoch 21 training time consumed: 25.83s
Evaluating Network.....
Test set: Epoch: 21, Average loss: 0.0033, Accuracy: 0.7447, Time consumed:0.87s
Training Epoch: 22 [256/47500]	Loss: 0.5475	LR: 0.020000
Training Epoch: 22 [512/47500]	Loss: 0.5886	LR: 0.020000
Training Epoch: 22 [768/47500]	Loss: 0.5702	LR: 0.020000
Training Epoch: 22 [1024/47500]	Loss: 0.5672	LR: 0.020000
Training Epoch: 22 [1280/47500]	Loss: 0.4552	LR: 0.020000
Training Epoch: 22 [1536/47500]	Loss: 0.4973	LR: 0.020000
Training Epoch: 22 [1792/47500]	Loss: 0.5692	LR: 0.020000
Training Epoch: 22 [2048/47500]	Loss: 0.5316	LR: 0.020000
Training Epoch: 22 [2304/47500]	Loss: 0.4916	LR: 0.020000
Training Epoch: 22 [2560/47500]	Loss: 0.6516	LR: 0.020000
Training Epoch: 22 [2816/47500]	Loss: 0.6246	LR: 0.020000
Training Epoch: 22 [3072/47500]	Loss: 0.6023	LR: 0.020000
Training Epoch: 22 [3328/47500]	Loss: 0.5990	LR: 0.020000
Training Epoch: 22 [3584/47500]	Loss: 0.6108	LR: 0.020000
Training Epoch: 22 [3840/47500]	Loss: 0.5460	LR: 0.020000
Training Epoch: 22 [4096/47500]	Loss: 0.6420	LR: 0.020000
Training Epoch: 22 [4352/47500]	Loss: 0.4720	LR: 0.020000
Training Epoch: 22 [4608/47500]	Loss: 0.6329	LR: 0.020000
Training Epoch: 22 [4864/47500]	Loss: 0.5623	LR: 0.020000
Training Epoch: 22 [5120/47500]	Loss: 0.6222	LR: 0.020000
Training Epoch: 22 [5376/47500]	Loss: 0.6019	LR: 0.020000
Training Epoch: 22 [5632/47500]	Loss: 0.5881	LR: 0.020000
Training Epoch: 22 [5888/47500]	Loss: 0.5110	LR: 0.020000
Training Epoch: 22 [6144/47500]	Loss: 0.5376	LR: 0.020000
Training Epoch: 22 [6400/47500]	Loss: 0.5904	LR: 0.020000
Training Epoch: 22 [6656/47500]	Loss: 0.7058	LR: 0.020000
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Training Epoch: 22 [7168/47500]	Loss: 0.5234	LR: 0.020000
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Training Epoch: 22 [8448/47500]	Loss: 0.5466	LR: 0.020000
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Training Epoch: 22 [10496/47500]	Loss: 0.5615	LR: 0.020000
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Training Epoch: 22 [11008/47500]	Loss: 0.6663	LR: 0.020000
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Training Epoch: 22 [11776/47500]	Loss: 0.6793	LR: 0.020000
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Training Epoch: 22 [13568/47500]	Loss: 0.5414	LR: 0.020000
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Training Epoch: 22 [14080/47500]	Loss: 0.5418	LR: 0.020000
Training Epoch: 22 [14336/47500]	Loss: 0.5889	LR: 0.020000
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Training Epoch: 22 [15872/47500]	Loss: 0.6820	LR: 0.020000
Training Epoch: 22 [16128/47500]	Loss: 0.5286	LR: 0.020000
Training Epoch: 22 [16384/47500]	Loss: 0.5283	LR: 0.020000
Training Epoch: 22 [16640/47500]	Loss: 0.5742	LR: 0.020000
Training Epoch: 22 [16896/47500]	Loss: 0.5605	LR: 0.020000
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Training Epoch: 22 [18176/47500]	Loss: 0.6184	LR: 0.020000
Training Epoch: 22 [18432/47500]	Loss: 0.4433	LR: 0.020000
Training Epoch: 22 [18688/47500]	Loss: 0.6052	LR: 0.020000
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Training Epoch: 22 [22016/47500]	Loss: 0.5674	LR: 0.020000
Training Epoch: 22 [22272/47500]	Loss: 0.5906	LR: 0.020000
Training Epoch: 22 [22528/47500]	Loss: 0.5558	LR: 0.020000
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Training Epoch: 22 [29440/47500]	Loss: 0.4833	LR: 0.020000
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Training Epoch: 22 [30464/47500]	Loss: 0.5896	LR: 0.020000
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Training Epoch: 22 [31744/47500]	Loss: 0.6294	LR: 0.020000
Training Epoch: 22 [32000/47500]	Loss: 0.5418	LR: 0.020000
Training Epoch: 22 [32256/47500]	Loss: 0.5581	LR: 0.020000
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Training Epoch: 22 [35584/47500]	Loss: 0.6066	LR: 0.020000
Training Epoch: 22 [35840/47500]	Loss: 0.7121	LR: 0.020000
Training Epoch: 22 [36096/47500]	Loss: 0.5113	LR: 0.020000
Training Epoch: 22 [36352/47500]	Loss: 0.6203	LR: 0.020000
Training Epoch: 22 [36608/47500]	Loss: 0.5679	LR: 0.020000
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Training Epoch: 22 [37120/47500]	Loss: 0.5225	LR: 0.020000
Training Epoch: 22 [37376/47500]	Loss: 0.4387	LR: 0.020000
Training Epoch: 22 [37632/47500]	Loss: 0.5896	LR: 0.020000
Training Epoch: 22 [37888/47500]	Loss: 0.6970	LR: 0.020000
Training Epoch: 22 [38144/47500]	Loss: 0.5124	LR: 0.020000
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Training Epoch: 22 [40448/47500]	Loss: 0.6842	LR: 0.020000
Training Epoch: 22 [40704/47500]	Loss: 0.5811	LR: 0.020000
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Training Epoch: 22 [41216/47500]	Loss: 0.5791	LR: 0.020000
Training Epoch: 22 [41472/47500]	Loss: 0.5598	LR: 0.020000
Training Epoch: 22 [41728/47500]	Loss: 0.6060	LR: 0.020000
Training Epoch: 22 [41984/47500]	Loss: 0.6315	LR: 0.020000
Training Epoch: 22 [42240/47500]	Loss: 0.6277	LR: 0.020000
Training Epoch: 22 [42496/47500]	Loss: 0.5344	LR: 0.020000
Training Epoch: 22 [42752/47500]	Loss: 0.5115	LR: 0.020000
Training Epoch: 22 [43008/47500]	Loss: 0.6467	LR: 0.020000
Training Epoch: 22 [43264/47500]	Loss: 0.5166	LR: 0.020000
Training Epoch: 22 [43520/47500]	Loss: 0.5775	LR: 0.020000
Training Epoch: 22 [43776/47500]	Loss: 0.6700	LR: 0.020000
Training Epoch: 22 [44032/47500]	Loss: 0.5622	LR: 0.020000
Training Epoch: 22 [44288/47500]	Loss: 0.4856	LR: 0.020000
Training Epoch: 22 [44544/47500]	Loss: 0.4914	LR: 0.020000
Training Epoch: 22 [44800/47500]	Loss: 0.5899	LR: 0.020000
Training Epoch: 22 [45056/47500]	Loss: 0.7182	LR: 0.020000
Training Epoch: 22 [45312/47500]	Loss: 0.6491	LR: 0.020000
Training Epoch: 22 [45568/47500]	Loss: 0.7294	LR: 0.020000
Training Epoch: 22 [45824/47500]	Loss: 0.5507	LR: 0.020000
Training Epoch: 22 [46080/47500]	Loss: 0.6149	LR: 0.020000
Training Epoch: 22 [46336/47500]	Loss: 0.5491	LR: 0.020000
Training Epoch: 22 [46592/47500]	Loss: 0.6044	LR: 0.020000
Training Epoch: 22 [46848/47500]	Loss: 0.4563	LR: 0.020000
Training Epoch: 22 [47104/47500]	Loss: 0.6280	LR: 0.020000
Training Epoch: 22 [47360/47500]	Loss: 0.5859	LR: 0.020000
Training Epoch: 22 [47500/47500]	Loss: 0.5862	LR: 0.020000
Epoch 22 - Average Train Loss: 0.5770, Train Accuracy: 0.8134
Epoch 22 training time consumed: 25.98s
Evaluating Network.....
Test set: Epoch: 22, Average loss: 0.0034, Accuracy: 0.7419, Time consumed:0.88s
Training Epoch: 23 [256/47500]	Loss: 0.5674	LR: 0.020000
Training Epoch: 23 [512/47500]	Loss: 0.5461	LR: 0.020000
Training Epoch: 23 [768/47500]	Loss: 0.5526	LR: 0.020000
Training Epoch: 23 [1024/47500]	Loss: 0.5581	LR: 0.020000
Training Epoch: 23 [1280/47500]	Loss: 0.5850	LR: 0.020000
Training Epoch: 23 [1536/47500]	Loss: 0.5554	LR: 0.020000
Training Epoch: 23 [1792/47500]	Loss: 0.4975	LR: 0.020000
Training Epoch: 23 [2048/47500]	Loss: 0.5388	LR: 0.020000
Training Epoch: 23 [2304/47500]	Loss: 0.6174	LR: 0.020000
Training Epoch: 23 [2560/47500]	Loss: 0.5581	LR: 0.020000
Training Epoch: 23 [2816/47500]	Loss: 0.5730	LR: 0.020000
Training Epoch: 23 [3072/47500]	Loss: 0.5677	LR: 0.020000
Training Epoch: 23 [3328/47500]	Loss: 0.5709	LR: 0.020000
Training Epoch: 23 [3584/47500]	Loss: 0.4860	LR: 0.020000
Training Epoch: 23 [3840/47500]	Loss: 0.5290	LR: 0.020000
Training Epoch: 23 [4096/47500]	Loss: 0.5843	LR: 0.020000
Training Epoch: 23 [4352/47500]	Loss: 0.5551	LR: 0.020000
Training Epoch: 23 [4608/47500]	Loss: 0.5555	LR: 0.020000
Training Epoch: 23 [4864/47500]	Loss: 0.4813	LR: 0.020000
Training Epoch: 23 [5120/47500]	Loss: 0.5598	LR: 0.020000
Training Epoch: 23 [5376/47500]	Loss: 0.5617	LR: 0.020000
Training Epoch: 23 [5632/47500]	Loss: 0.4653	LR: 0.020000
Training Epoch: 23 [5888/47500]	Loss: 0.5622	LR: 0.020000
Training Epoch: 23 [6144/47500]	Loss: 0.5957	LR: 0.020000
Training Epoch: 23 [6400/47500]	Loss: 0.5155	LR: 0.020000
Training Epoch: 23 [6656/47500]	Loss: 0.5618	LR: 0.020000
Training Epoch: 23 [6912/47500]	Loss: 0.6145	LR: 0.020000
Training Epoch: 23 [7168/47500]	Loss: 0.5781	LR: 0.020000
Training Epoch: 23 [7424/47500]	Loss: 0.6486	LR: 0.020000
Training Epoch: 23 [7680/47500]	Loss: 0.6622	LR: 0.020000
Training Epoch: 23 [7936/47500]	Loss: 0.4887	LR: 0.020000
Training Epoch: 23 [8192/47500]	Loss: 0.5027	LR: 0.020000
Training Epoch: 23 [8448/47500]	Loss: 0.4879	LR: 0.020000
Training Epoch: 23 [8704/47500]	Loss: 0.5201	LR: 0.020000
Training Epoch: 23 [8960/47500]	Loss: 0.5299	LR: 0.020000
Training Epoch: 23 [9216/47500]	Loss: 0.5884	LR: 0.020000
Training Epoch: 23 [9472/47500]	Loss: 0.5675	LR: 0.020000
Training Epoch: 23 [9728/47500]	Loss: 0.5452	LR: 0.020000
Training Epoch: 23 [9984/47500]	Loss: 0.5790	LR: 0.020000
Training Epoch: 23 [10240/47500]	Loss: 0.4902	LR: 0.020000
Training Epoch: 23 [10496/47500]	Loss: 0.4408	LR: 0.020000
Training Epoch: 23 [10752/47500]	Loss: 0.5810	LR: 0.020000
Training Epoch: 23 [11008/47500]	Loss: 0.5705	LR: 0.020000
Training Epoch: 23 [11264/47500]	Loss: 0.5508	LR: 0.020000
Training Epoch: 23 [11520/47500]	Loss: 0.6293	LR: 0.020000
Training Epoch: 23 [11776/47500]	Loss: 0.6057	LR: 0.020000
Training Epoch: 23 [12032/47500]	Loss: 0.6415	LR: 0.020000
Training Epoch: 23 [12288/47500]	Loss: 0.5368	LR: 0.020000
Training Epoch: 23 [12544/47500]	Loss: 0.5251	LR: 0.020000
Training Epoch: 23 [12800/47500]	Loss: 0.5763	LR: 0.020000
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Training Epoch: 23 [16896/47500]	Loss: 0.4997	LR: 0.020000
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Training Epoch: 23 [18688/47500]	Loss: 0.6981	LR: 0.020000
Training Epoch: 23 [18944/47500]	Loss: 0.6294	LR: 0.020000
Training Epoch: 23 [19200/47500]	Loss: 0.5216	LR: 0.020000
Training Epoch: 23 [19456/47500]	Loss: 0.5566	LR: 0.020000
Training Epoch: 23 [19712/47500]	Loss: 0.5550	LR: 0.020000
Training Epoch: 23 [19968/47500]	Loss: 0.5416	LR: 0.020000
Training Epoch: 23 [20224/47500]	Loss: 0.5306	LR: 0.020000
Training Epoch: 23 [20480/47500]	Loss: 0.5585	LR: 0.020000
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Training Epoch: 23 [22016/47500]	Loss: 0.6450	LR: 0.020000
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Training Epoch: 23 [22528/47500]	Loss: 0.4992	LR: 0.020000
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Training Epoch: 23 [23040/47500]	Loss: 0.5812	LR: 0.020000
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Training Epoch: 23 [24576/47500]	Loss: 0.6130	LR: 0.020000
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Training Epoch: 23 [26368/47500]	Loss: 0.6796	LR: 0.020000
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Training Epoch: 23 [37632/47500]	Loss: 0.6109	LR: 0.020000
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Training Epoch: 23 [38656/47500]	Loss: 0.6133	LR: 0.020000
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Training Epoch: 23 [40192/47500]	Loss: 0.5910	LR: 0.020000
Training Epoch: 23 [40448/47500]	Loss: 0.5889	LR: 0.020000
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Training Epoch: 23 [44544/47500]	Loss: 0.5433	LR: 0.020000
Training Epoch: 23 [44800/47500]	Loss: 0.5878	LR: 0.020000
Training Epoch: 23 [45056/47500]	Loss: 0.6459	LR: 0.020000
Training Epoch: 23 [45312/47500]	Loss: 0.5840	LR: 0.020000
Training Epoch: 23 [45568/47500]	Loss: 0.6695	LR: 0.020000
Training Epoch: 23 [45824/47500]	Loss: 0.6638	LR: 0.020000
Training Epoch: 23 [46080/47500]	Loss: 0.5686	LR: 0.020000
Training Epoch: 23 [46336/47500]	Loss: 0.6053	LR: 0.020000
Training Epoch: 23 [46592/47500]	Loss: 0.5012	LR: 0.020000
Training Epoch: 23 [46848/47500]	Loss: 0.6689	LR: 0.020000
Training Epoch: 23 [47104/47500]	Loss: 0.5103	LR: 0.020000
Training Epoch: 23 [47360/47500]	Loss: 0.6749	LR: 0.020000
Training Epoch: 23 [47500/47500]	Loss: 0.6621	LR: 0.020000
Epoch 23 - Average Train Loss: 0.5727, Train Accuracy: 0.8145
Epoch 23 training time consumed: 25.84s
Evaluating Network.....
Test set: Epoch: 23, Average loss: 0.0034, Accuracy: 0.7355, Time consumed:0.89s
Training Epoch: 24 [256/47500]	Loss: 0.4955	LR: 0.020000
Training Epoch: 24 [512/47500]	Loss: 0.4852	LR: 0.020000
Training Epoch: 24 [768/47500]	Loss: 0.4696	LR: 0.020000
Training Epoch: 24 [1024/47500]	Loss: 0.4758	LR: 0.020000
Training Epoch: 24 [1280/47500]	Loss: 0.4324	LR: 0.020000
Training Epoch: 24 [1536/47500]	Loss: 0.3832	LR: 0.020000
Training Epoch: 24 [1792/47500]	Loss: 0.6374	LR: 0.020000
Training Epoch: 24 [2048/47500]	Loss: 0.5546	LR: 0.020000
Training Epoch: 24 [2304/47500]	Loss: 0.5699	LR: 0.020000
Training Epoch: 24 [2560/47500]	Loss: 0.5566	LR: 0.020000
Training Epoch: 24 [2816/47500]	Loss: 0.5413	LR: 0.020000
Training Epoch: 24 [3072/47500]	Loss: 0.4944	LR: 0.020000
Training Epoch: 24 [3328/47500]	Loss: 0.6667	LR: 0.020000
Training Epoch: 24 [3584/47500]	Loss: 0.5809	LR: 0.020000
Training Epoch: 24 [3840/47500]	Loss: 0.5743	LR: 0.020000
Training Epoch: 24 [4096/47500]	Loss: 0.5490	LR: 0.020000
Training Epoch: 24 [4352/47500]	Loss: 0.5148	LR: 0.020000
Training Epoch: 24 [4608/47500]	Loss: 0.5036	LR: 0.020000
Training Epoch: 24 [4864/47500]	Loss: 0.5840	LR: 0.020000
Training Epoch: 24 [5120/47500]	Loss: 0.5700	LR: 0.020000
Training Epoch: 24 [5376/47500]	Loss: 0.4978	LR: 0.020000
Training Epoch: 24 [5632/47500]	Loss: 0.5071	LR: 0.020000
Training Epoch: 24 [5888/47500]	Loss: 0.6740	LR: 0.020000
Training Epoch: 24 [6144/47500]	Loss: 0.6329	LR: 0.020000
Training Epoch: 24 [6400/47500]	Loss: 0.6028	LR: 0.020000
Training Epoch: 24 [6656/47500]	Loss: 0.4481	LR: 0.020000
Training Epoch: 24 [6912/47500]	Loss: 0.5235	LR: 0.020000
Training Epoch: 24 [7168/47500]	Loss: 0.5649	LR: 0.020000
Training Epoch: 24 [7424/47500]	Loss: 0.4663	LR: 0.020000
Training Epoch: 24 [7680/47500]	Loss: 0.5353	LR: 0.020000
Training Epoch: 24 [7936/47500]	Loss: 0.5940	LR: 0.020000
Training Epoch: 24 [8192/47500]	Loss: 0.5439	LR: 0.020000
Training Epoch: 24 [8448/47500]	Loss: 0.5488	LR: 0.020000
Training Epoch: 24 [8704/47500]	Loss: 0.5123	LR: 0.020000
Training Epoch: 24 [8960/47500]	Loss: 0.5905	LR: 0.020000
Training Epoch: 24 [9216/47500]	Loss: 0.5920	LR: 0.020000
Training Epoch: 24 [9472/47500]	Loss: 0.5867	LR: 0.020000
Training Epoch: 24 [9728/47500]	Loss: 0.5275	LR: 0.020000
Training Epoch: 24 [9984/47500]	Loss: 0.6009	LR: 0.020000
Training Epoch: 24 [10240/47500]	Loss: 0.4789	LR: 0.020000
Training Epoch: 24 [10496/47500]	Loss: 0.4386	LR: 0.020000
Training Epoch: 24 [10752/47500]	Loss: 0.4364	LR: 0.020000
Training Epoch: 24 [11008/47500]	Loss: 0.5234	LR: 0.020000
Training Epoch: 24 [11264/47500]	Loss: 0.5688	LR: 0.020000
Training Epoch: 24 [11520/47500]	Loss: 0.4958	LR: 0.020000
Training Epoch: 24 [11776/47500]	Loss: 0.4866	LR: 0.020000
Training Epoch: 24 [12032/47500]	Loss: 0.5555	LR: 0.020000
Training Epoch: 24 [12288/47500]	Loss: 0.5421	LR: 0.020000
Training Epoch: 24 [12544/47500]	Loss: 0.5205	LR: 0.020000
Training Epoch: 24 [12800/47500]	Loss: 0.5293	LR: 0.020000
Training Epoch: 24 [13056/47500]	Loss: 0.5407	LR: 0.020000
Training Epoch: 24 [13312/47500]	Loss: 0.4911	LR: 0.020000
Training Epoch: 24 [13568/47500]	Loss: 0.5163	LR: 0.020000
Training Epoch: 24 [13824/47500]	Loss: 0.4949	LR: 0.020000
Training Epoch: 24 [14080/47500]	Loss: 0.6404	LR: 0.020000
Training Epoch: 24 [14336/47500]	Loss: 0.5156	LR: 0.020000
Training Epoch: 24 [14592/47500]	Loss: 0.5437	LR: 0.020000
Training Epoch: 24 [14848/47500]	Loss: 0.4888	LR: 0.020000
Training Epoch: 24 [15104/47500]	Loss: 0.6057	LR: 0.020000
Training Epoch: 24 [15360/47500]	Loss: 0.4989	LR: 0.020000
Training Epoch: 24 [15616/47500]	Loss: 0.4493	LR: 0.020000
Training Epoch: 24 [15872/47500]	Loss: 0.6480	LR: 0.020000
Training Epoch: 24 [16128/47500]	Loss: 0.5213	LR: 0.020000
Training Epoch: 24 [16384/47500]	Loss: 0.5732	LR: 0.020000
Training Epoch: 24 [16640/47500]	Loss: 0.5903	LR: 0.020000
Training Epoch: 24 [16896/47500]	Loss: 0.4761	LR: 0.020000
Training Epoch: 24 [17152/47500]	Loss: 0.5994	LR: 0.020000
Training Epoch: 24 [17408/47500]	Loss: 0.4933	LR: 0.020000
Training Epoch: 24 [17664/47500]	Loss: 0.6056	LR: 0.020000
Training Epoch: 24 [17920/47500]	Loss: 0.6149	LR: 0.020000
Training Epoch: 24 [18176/47500]	Loss: 0.5753	LR: 0.020000
Training Epoch: 24 [18432/47500]	Loss: 0.5785	LR: 0.020000
Training Epoch: 24 [18688/47500]	Loss: 0.5641	LR: 0.020000
Training Epoch: 24 [18944/47500]	Loss: 0.4683	LR: 0.020000
Training Epoch: 24 [19200/47500]	Loss: 0.6896	LR: 0.020000
Training Epoch: 24 [19456/47500]	Loss: 0.5366	LR: 0.020000
Training Epoch: 24 [19712/47500]	Loss: 0.5290	LR: 0.020000
Training Epoch: 24 [19968/47500]	Loss: 0.4919	LR: 0.020000
Training Epoch: 24 [20224/47500]	Loss: 0.5358	LR: 0.020000
Training Epoch: 24 [20480/47500]	Loss: 0.4580	LR: 0.020000
Training Epoch: 24 [20736/47500]	Loss: 0.6487	LR: 0.020000
Training Epoch: 24 [20992/47500]	Loss: 0.5796	LR: 0.020000
Training Epoch: 24 [21248/47500]	Loss: 0.4751	LR: 0.020000
Training Epoch: 24 [21504/47500]	Loss: 0.5487	LR: 0.020000
Training Epoch: 24 [21760/47500]	Loss: 0.5498	LR: 0.020000
Training Epoch: 24 [22016/47500]	Loss: 0.5244	LR: 0.020000
Training Epoch: 24 [22272/47500]	Loss: 0.6142	LR: 0.020000
Training Epoch: 24 [22528/47500]	Loss: 0.5131	LR: 0.020000
Training Epoch: 24 [22784/47500]	Loss: 0.6891	LR: 0.020000
Training Epoch: 24 [23040/47500]	Loss: 0.5352	LR: 0.020000
Training Epoch: 24 [23296/47500]	Loss: 0.4549	LR: 0.020000
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Training Epoch: 24 [24832/47500]	Loss: 0.5574	LR: 0.020000
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Training Epoch: 24 [28160/47500]	Loss: 0.6712	LR: 0.020000
Training Epoch: 24 [28416/47500]	Loss: 0.5787	LR: 0.020000
Training Epoch: 24 [28672/47500]	Loss: 0.4253	LR: 0.020000
Training Epoch: 24 [28928/47500]	Loss: 0.5394	LR: 0.020000
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Training Epoch: 24 [35328/47500]	Loss: 0.5395	LR: 0.020000
Training Epoch: 24 [35584/47500]	Loss: 0.5975	LR: 0.020000
Training Epoch: 24 [35840/47500]	Loss: 0.5571	LR: 0.020000
Training Epoch: 24 [36096/47500]	Loss: 0.4845	LR: 0.020000
Training Epoch: 24 [36352/47500]	Loss: 0.5503	LR: 0.020000
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Training Epoch: 24 [38656/47500]	Loss: 0.6864	LR: 0.020000
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Training Epoch: 24 [39680/47500]	Loss: 0.5793	LR: 0.020000
Training Epoch: 24 [39936/47500]	Loss: 0.5418	LR: 0.020000
Training Epoch: 24 [40192/47500]	Loss: 0.5519	LR: 0.020000
Training Epoch: 24 [40448/47500]	Loss: 0.6225	LR: 0.020000
Training Epoch: 24 [40704/47500]	Loss: 0.6009	LR: 0.020000
Training Epoch: 24 [40960/47500]	Loss: 0.5063	LR: 0.020000
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Training Epoch: 24 [41472/47500]	Loss: 0.5142	LR: 0.020000
Training Epoch: 24 [41728/47500]	Loss: 0.5477	LR: 0.020000
Training Epoch: 24 [41984/47500]	Loss: 0.5990	LR: 0.020000
Training Epoch: 24 [42240/47500]	Loss: 0.5350	LR: 0.020000
Training Epoch: 24 [42496/47500]	Loss: 0.5412	LR: 0.020000
Training Epoch: 24 [42752/47500]	Loss: 0.5750	LR: 0.020000
Training Epoch: 24 [43008/47500]	Loss: 0.6296	LR: 0.020000
Training Epoch: 24 [43264/47500]	Loss: 0.6253	LR: 0.020000
Training Epoch: 24 [43520/47500]	Loss: 0.5975	LR: 0.020000
Training Epoch: 24 [43776/47500]	Loss: 0.5091	LR: 0.020000
Training Epoch: 24 [44032/47500]	Loss: 0.5859	LR: 0.020000
Training Epoch: 24 [44288/47500]	Loss: 0.6617	LR: 0.020000
Training Epoch: 24 [44544/47500]	Loss: 0.6321	LR: 0.020000
Training Epoch: 24 [44800/47500]	Loss: 0.5886	LR: 0.020000
Training Epoch: 24 [45056/47500]	Loss: 0.5793	LR: 0.020000
Training Epoch: 24 [45312/47500]	Loss: 0.5804	LR: 0.020000
Training Epoch: 24 [45568/47500]	Loss: 0.5670	LR: 0.020000
Training Epoch: 24 [45824/47500]	Loss: 0.5830	LR: 0.020000
Training Epoch: 24 [46080/47500]	Loss: 0.6508	LR: 0.020000
Training Epoch: 24 [46336/47500]	Loss: 0.6253	LR: 0.020000
Training Epoch: 24 [46592/47500]	Loss: 0.6683	LR: 0.020000
Training Epoch: 24 [46848/47500]	Loss: 0.6073	LR: 0.020000
Training Epoch: 24 [47104/47500]	Loss: 0.4796	LR: 0.020000
Training Epoch: 24 [47360/47500]	Loss: 0.5359	LR: 0.020000
Training Epoch: 24 [47500/47500]	Loss: 0.4463	LR: 0.020000
Epoch 24 - Average Train Loss: 0.5562, Train Accuracy: 0.8222
Epoch 24 training time consumed: 25.95s
Evaluating Network.....
Test set: Epoch: 24, Average loss: 0.0037, Accuracy: 0.7343, Time consumed:0.88s
Training Epoch: 25 [256/47500]	Loss: 0.5028	LR: 0.020000
Training Epoch: 25 [512/47500]	Loss: 0.4551	LR: 0.020000
Training Epoch: 25 [768/47500]	Loss: 0.5962	LR: 0.020000
Training Epoch: 25 [1024/47500]	Loss: 0.5059	LR: 0.020000
Training Epoch: 25 [1280/47500]	Loss: 0.4680	LR: 0.020000
Training Epoch: 25 [1536/47500]	Loss: 0.5383	LR: 0.020000
Training Epoch: 25 [1792/47500]	Loss: 0.5249	LR: 0.020000
Training Epoch: 25 [2048/47500]	Loss: 0.4783	LR: 0.020000
Training Epoch: 25 [2304/47500]	Loss: 0.5020	LR: 0.020000
Training Epoch: 25 [2560/47500]	Loss: 0.5002	LR: 0.020000
Training Epoch: 25 [2816/47500]	Loss: 0.6497	LR: 0.020000
Training Epoch: 25 [3072/47500]	Loss: 0.5113	LR: 0.020000
Training Epoch: 25 [3328/47500]	Loss: 0.5200	LR: 0.020000
Training Epoch: 25 [3584/47500]	Loss: 0.4826	LR: 0.020000
Training Epoch: 25 [3840/47500]	Loss: 0.5561	LR: 0.020000
Training Epoch: 25 [4096/47500]	Loss: 0.5601	LR: 0.020000
Training Epoch: 25 [4352/47500]	Loss: 0.4630	LR: 0.020000
Training Epoch: 25 [4608/47500]	Loss: 0.3988	LR: 0.020000
Training Epoch: 25 [4864/47500]	Loss: 0.5124	LR: 0.020000
Training Epoch: 25 [5120/47500]	Loss: 0.4606	LR: 0.020000
Training Epoch: 25 [5376/47500]	Loss: 0.5370	LR: 0.020000
Training Epoch: 25 [5632/47500]	Loss: 0.5801	LR: 0.020000
Training Epoch: 25 [5888/47500]	Loss: 0.5737	LR: 0.020000
Training Epoch: 25 [6144/47500]	Loss: 0.4840	LR: 0.020000
Training Epoch: 25 [6400/47500]	Loss: 0.4724	LR: 0.020000
Training Epoch: 25 [6656/47500]	Loss: 0.5560	LR: 0.020000
Training Epoch: 25 [6912/47500]	Loss: 0.5438	LR: 0.020000
Training Epoch: 25 [7168/47500]	Loss: 0.5196	LR: 0.020000
Training Epoch: 25 [7424/47500]	Loss: 0.4895	LR: 0.020000
Training Epoch: 25 [7680/47500]	Loss: 0.4359	LR: 0.020000
Training Epoch: 25 [7936/47500]	Loss: 0.5560	LR: 0.020000
Training Epoch: 25 [8192/47500]	Loss: 0.4501	LR: 0.020000
Training Epoch: 25 [8448/47500]	Loss: 0.5365	LR: 0.020000
Training Epoch: 25 [8704/47500]	Loss: 0.5286	LR: 0.020000
Training Epoch: 25 [8960/47500]	Loss: 0.6194	LR: 0.020000
Training Epoch: 25 [9216/47500]	Loss: 0.4119	LR: 0.020000
Training Epoch: 25 [9472/47500]	Loss: 0.4890	LR: 0.020000
Training Epoch: 25 [9728/47500]	Loss: 0.5258	LR: 0.020000
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Training Epoch: 25 [10240/47500]	Loss: 0.5386	LR: 0.020000
Training Epoch: 25 [10496/47500]	Loss: 0.3992	LR: 0.020000
Training Epoch: 25 [10752/47500]	Loss: 0.6405	LR: 0.020000
Training Epoch: 25 [11008/47500]	Loss: 0.4974	LR: 0.020000
Training Epoch: 25 [11264/47500]	Loss: 0.5500	LR: 0.020000
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Training Epoch: 25 [11776/47500]	Loss: 0.5580	LR: 0.020000
Training Epoch: 25 [12032/47500]	Loss: 0.6147	LR: 0.020000
Training Epoch: 25 [12288/47500]	Loss: 0.4645	LR: 0.020000
Training Epoch: 25 [12544/47500]	Loss: 0.6448	LR: 0.020000
Training Epoch: 25 [12800/47500]	Loss: 0.5619	LR: 0.020000
Training Epoch: 25 [13056/47500]	Loss: 0.6545	LR: 0.020000
Training Epoch: 25 [13312/47500]	Loss: 0.5222	LR: 0.020000
Training Epoch: 25 [13568/47500]	Loss: 0.5773	LR: 0.020000
Training Epoch: 25 [13824/47500]	Loss: 0.5147	LR: 0.020000
Training Epoch: 25 [14080/47500]	Loss: 0.5098	LR: 0.020000
Training Epoch: 25 [14336/47500]	Loss: 0.5087	LR: 0.020000
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Training Epoch: 25 [15104/47500]	Loss: 0.6219	LR: 0.020000
Training Epoch: 25 [15360/47500]	Loss: 0.4735	LR: 0.020000
Training Epoch: 25 [15616/47500]	Loss: 0.5589	LR: 0.020000
Training Epoch: 25 [15872/47500]	Loss: 0.5872	LR: 0.020000
Training Epoch: 25 [16128/47500]	Loss: 0.4957	LR: 0.020000
Training Epoch: 25 [16384/47500]	Loss: 0.6227	LR: 0.020000
Training Epoch: 25 [16640/47500]	Loss: 0.4847	LR: 0.020000
Training Epoch: 25 [16896/47500]	Loss: 0.6478	LR: 0.020000
Training Epoch: 25 [17152/47500]	Loss: 0.5835	LR: 0.020000
Training Epoch: 25 [17408/47500]	Loss: 0.4606	LR: 0.020000
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Training Epoch: 25 [18176/47500]	Loss: 0.6238	LR: 0.020000
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Training Epoch: 25 [18688/47500]	Loss: 0.5637	LR: 0.020000
Training Epoch: 25 [18944/47500]	Loss: 0.4965	LR: 0.020000
Training Epoch: 25 [19200/47500]	Loss: 0.5324	LR: 0.020000
Training Epoch: 25 [19456/47500]	Loss: 0.5128	LR: 0.020000
Training Epoch: 25 [19712/47500]	Loss: 0.6169	LR: 0.020000
Training Epoch: 25 [19968/47500]	Loss: 0.4738	LR: 0.020000
Training Epoch: 25 [20224/47500]	Loss: 0.5253	LR: 0.020000
Training Epoch: 25 [20480/47500]	Loss: 0.5255	LR: 0.020000
Training Epoch: 25 [20736/47500]	Loss: 0.4346	LR: 0.020000
Training Epoch: 25 [20992/47500]	Loss: 0.4968	LR: 0.020000
Training Epoch: 25 [21248/47500]	Loss: 0.6674	LR: 0.020000
Training Epoch: 25 [21504/47500]	Loss: 0.5204	LR: 0.020000
Training Epoch: 25 [21760/47500]	Loss: 0.6243	LR: 0.020000
Training Epoch: 25 [22016/47500]	Loss: 0.5464	LR: 0.020000
Training Epoch: 25 [22272/47500]	Loss: 0.6302	LR: 0.020000
Training Epoch: 25 [22528/47500]	Loss: 0.5525	LR: 0.020000
Training Epoch: 25 [22784/47500]	Loss: 0.6166	LR: 0.020000
Training Epoch: 25 [23040/47500]	Loss: 0.4878	LR: 0.020000
Training Epoch: 25 [23296/47500]	Loss: 0.6125	LR: 0.020000
Training Epoch: 25 [23552/47500]	Loss: 0.6120	LR: 0.020000
Training Epoch: 25 [23808/47500]	Loss: 0.4916	LR: 0.020000
Training Epoch: 25 [24064/47500]	Loss: 0.6742	LR: 0.020000
Training Epoch: 25 [24320/47500]	Loss: 0.5554	LR: 0.020000
Training Epoch: 25 [24576/47500]	Loss: 0.5328	LR: 0.020000
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Training Epoch: 25 [25856/47500]	Loss: 0.5233	LR: 0.020000
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Training Epoch: 25 [28160/47500]	Loss: 0.5120	LR: 0.020000
Training Epoch: 25 [28416/47500]	Loss: 0.5809	LR: 0.020000
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Training Epoch: 25 [29440/47500]	Loss: 0.5283	LR: 0.020000
Training Epoch: 25 [29696/47500]	Loss: 0.4937	LR: 0.020000
Training Epoch: 25 [29952/47500]	Loss: 0.5197	LR: 0.020000
Training Epoch: 25 [30208/47500]	Loss: 0.5974	LR: 0.020000
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Training Epoch: 25 [30720/47500]	Loss: 0.5810	LR: 0.020000
Training Epoch: 25 [30976/47500]	Loss: 0.4589	LR: 0.020000
Training Epoch: 25 [31232/47500]	Loss: 0.4647	LR: 0.020000
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Training Epoch: 25 [32768/47500]	Loss: 0.6347	LR: 0.020000
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Training Epoch: 25 [36096/47500]	Loss: 0.5170	LR: 0.020000
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Training Epoch: 25 [37376/47500]	Loss: 0.5509	LR: 0.020000
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Training Epoch: 25 [38400/47500]	Loss: 0.6197	LR: 0.020000
Training Epoch: 25 [38656/47500]	Loss: 0.6281	LR: 0.020000
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Training Epoch: 25 [40192/47500]	Loss: 0.6271	LR: 0.020000
Training Epoch: 25 [40448/47500]	Loss: 0.5561	LR: 0.020000
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Training Epoch: 25 [40960/47500]	Loss: 0.6440	LR: 0.020000
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Training Epoch: 25 [41472/47500]	Loss: 0.6071	LR: 0.020000
Training Epoch: 25 [41728/47500]	Loss: 0.5058	LR: 0.020000
Training Epoch: 25 [41984/47500]	Loss: 0.5718	LR: 0.020000
Training Epoch: 25 [42240/47500]	Loss: 0.5789	LR: 0.020000
Training Epoch: 25 [42496/47500]	Loss: 0.4729	LR: 0.020000
Training Epoch: 25 [42752/47500]	Loss: 0.4566	LR: 0.020000
Training Epoch: 25 [43008/47500]	Loss: 0.4770	LR: 0.020000
Training Epoch: 25 [43264/47500]	Loss: 0.5116	LR: 0.020000
Training Epoch: 25 [43520/47500]	Loss: 0.5454	LR: 0.020000
Training Epoch: 25 [43776/47500]	Loss: 0.6721	LR: 0.020000
Training Epoch: 25 [44032/47500]	Loss: 0.5011	LR: 0.020000
Training Epoch: 25 [44288/47500]	Loss: 0.5670	LR: 0.020000
Training Epoch: 25 [44544/47500]	Loss: 0.5619	LR: 0.020000
Training Epoch: 25 [44800/47500]	Loss: 0.4488	LR: 0.020000
Training Epoch: 25 [45056/47500]	Loss: 0.5292	LR: 0.020000
Training Epoch: 25 [45312/47500]	Loss: 0.6641	LR: 0.020000
Training Epoch: 25 [45568/47500]	Loss: 0.5002	LR: 0.020000
Training Epoch: 25 [45824/47500]	Loss: 0.5533	LR: 0.020000
Training Epoch: 25 [46080/47500]	Loss: 0.5240	LR: 0.020000
Training Epoch: 25 [46336/47500]	Loss: 0.5947	LR: 0.020000
Training Epoch: 25 [46592/47500]	Loss: 0.7435	LR: 0.020000
Training Epoch: 25 [46848/47500]	Loss: 0.6051	LR: 0.020000
Training Epoch: 25 [47104/47500]	Loss: 0.5190	LR: 0.020000
Training Epoch: 25 [47360/47500]	Loss: 0.4788	LR: 0.020000
Training Epoch: 25 [47500/47500]	Loss: 0.6026	LR: 0.020000
Epoch 25 - Average Train Loss: 0.5453, Train Accuracy: 0.8234
Epoch 25 training time consumed: 25.84s
Evaluating Network.....
Test set: Epoch: 25, Average loss: 0.0034, Accuracy: 0.7463, Time consumed:0.94s
Training Epoch: 26 [256/47500]	Loss: 0.5459	LR: 0.020000
Training Epoch: 26 [512/47500]	Loss: 0.6968	LR: 0.020000
Training Epoch: 26 [768/47500]	Loss: 0.4946	LR: 0.020000
Training Epoch: 26 [1024/47500]	Loss: 0.5220	LR: 0.020000
Training Epoch: 26 [1280/47500]	Loss: 0.5270	LR: 0.020000
Training Epoch: 26 [1536/47500]	Loss: 0.5503	LR: 0.020000
Training Epoch: 26 [1792/47500]	Loss: 0.5324	LR: 0.020000
Training Epoch: 26 [2048/47500]	Loss: 0.4865	LR: 0.020000
Training Epoch: 26 [2304/47500]	Loss: 0.4685	LR: 0.020000
Training Epoch: 26 [2560/47500]	Loss: 0.5184	LR: 0.020000
Training Epoch: 26 [2816/47500]	Loss: 0.5235	LR: 0.020000
Training Epoch: 26 [3072/47500]	Loss: 0.5173	LR: 0.020000
Training Epoch: 26 [3328/47500]	Loss: 0.5248	LR: 0.020000
Training Epoch: 26 [3584/47500]	Loss: 0.5903	LR: 0.020000
Training Epoch: 26 [3840/47500]	Loss: 0.4640	LR: 0.020000
Training Epoch: 26 [4096/47500]	Loss: 0.4859	LR: 0.020000
Training Epoch: 26 [4352/47500]	Loss: 0.5253	LR: 0.020000
Training Epoch: 26 [4608/47500]	Loss: 0.4268	LR: 0.020000
Training Epoch: 26 [4864/47500]	Loss: 0.5920	LR: 0.020000
Training Epoch: 26 [5120/47500]	Loss: 0.5993	LR: 0.020000
Training Epoch: 26 [5376/47500]	Loss: 0.4201	LR: 0.020000
Training Epoch: 26 [5632/47500]	Loss: 0.4861	LR: 0.020000
Training Epoch: 26 [5888/47500]	Loss: 0.5539	LR: 0.020000
Training Epoch: 26 [6144/47500]	Loss: 0.5707	LR: 0.020000
Training Epoch: 26 [6400/47500]	Loss: 0.5435	LR: 0.020000
Training Epoch: 26 [6656/47500]	Loss: 0.4528	LR: 0.020000
Training Epoch: 26 [6912/47500]	Loss: 0.4020	LR: 0.020000
Training Epoch: 26 [7168/47500]	Loss: 0.5350	LR: 0.020000
Training Epoch: 26 [7424/47500]	Loss: 0.4566	LR: 0.020000
Training Epoch: 26 [7680/47500]	Loss: 0.5112	LR: 0.020000
Training Epoch: 26 [7936/47500]	Loss: 0.4892	LR: 0.020000
Training Epoch: 26 [8192/47500]	Loss: 0.5030	LR: 0.020000
Training Epoch: 26 [8448/47500]	Loss: 0.4773	LR: 0.020000
Training Epoch: 26 [8704/47500]	Loss: 0.4663	LR: 0.020000
Training Epoch: 26 [8960/47500]	Loss: 0.4921	LR: 0.020000
Training Epoch: 26 [9216/47500]	Loss: 0.5266	LR: 0.020000
Training Epoch: 26 [9472/47500]	Loss: 0.5125	LR: 0.020000
Training Epoch: 26 [9728/47500]	Loss: 0.4919	LR: 0.020000
Training Epoch: 26 [9984/47500]	Loss: 0.4853	LR: 0.020000
Training Epoch: 26 [10240/47500]	Loss: 0.5890	LR: 0.020000
Training Epoch: 26 [10496/47500]	Loss: 0.4711	LR: 0.020000
Training Epoch: 26 [10752/47500]	Loss: 0.4570	LR: 0.020000
Training Epoch: 26 [11008/47500]	Loss: 0.4531	LR: 0.020000
Training Epoch: 26 [11264/47500]	Loss: 0.4337	LR: 0.020000
Training Epoch: 26 [11520/47500]	Loss: 0.4515	LR: 0.020000
Training Epoch: 26 [11776/47500]	Loss: 0.5356	LR: 0.020000
Training Epoch: 26 [12032/47500]	Loss: 0.4273	LR: 0.020000
Training Epoch: 26 [12288/47500]	Loss: 0.5323	LR: 0.020000
Training Epoch: 26 [12544/47500]	Loss: 0.5448	LR: 0.020000
Training Epoch: 26 [12800/47500]	Loss: 0.4810	LR: 0.020000
Training Epoch: 26 [13056/47500]	Loss: 0.6382	LR: 0.020000
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Training Epoch: 26 [13568/47500]	Loss: 0.5638	LR: 0.020000
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Training Epoch: 26 [15616/47500]	Loss: 0.5350	LR: 0.020000
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Training Epoch: 26 [16384/47500]	Loss: 0.5511	LR: 0.020000
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Training Epoch: 26 [16896/47500]	Loss: 0.4071	LR: 0.020000
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Training Epoch: 26 [19200/47500]	Loss: 0.4871	LR: 0.020000
Training Epoch: 26 [19456/47500]	Loss: 0.5275	LR: 0.020000
Training Epoch: 26 [19712/47500]	Loss: 0.4929	LR: 0.020000
Training Epoch: 26 [19968/47500]	Loss: 0.6810	LR: 0.020000
Training Epoch: 26 [20224/47500]	Loss: 0.4704	LR: 0.020000
Training Epoch: 26 [20480/47500]	Loss: 0.6487	LR: 0.020000
Training Epoch: 26 [20736/47500]	Loss: 0.5814	LR: 0.020000
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Training Epoch: 26 [22016/47500]	Loss: 0.5981	LR: 0.020000
Training Epoch: 26 [22272/47500]	Loss: 0.6569	LR: 0.020000
Training Epoch: 26 [22528/47500]	Loss: 0.4711	LR: 0.020000
Training Epoch: 26 [22784/47500]	Loss: 0.5727	LR: 0.020000
Training Epoch: 26 [23040/47500]	Loss: 0.5093	LR: 0.020000
Training Epoch: 26 [23296/47500]	Loss: 0.4884	LR: 0.020000
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Training Epoch: 26 [24320/47500]	Loss: 0.5197	LR: 0.020000
Training Epoch: 26 [24576/47500]	Loss: 0.6119	LR: 0.020000
Training Epoch: 26 [24832/47500]	Loss: 0.5987	LR: 0.020000
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Training Epoch: 26 [25600/47500]	Loss: 0.5063	LR: 0.020000
Training Epoch: 26 [25856/47500]	Loss: 0.4932	LR: 0.020000
Training Epoch: 26 [26112/47500]	Loss: 0.5655	LR: 0.020000
Training Epoch: 26 [26368/47500]	Loss: 0.6813	LR: 0.020000
Training Epoch: 26 [26624/47500]	Loss: 0.4487	LR: 0.020000
Training Epoch: 26 [26880/47500]	Loss: 0.6257	LR: 0.020000
Training Epoch: 26 [27136/47500]	Loss: 0.5824	LR: 0.020000
Training Epoch: 26 [27392/47500]	Loss: 0.5327	LR: 0.020000
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Training Epoch: 26 [27904/47500]	Loss: 0.5776	LR: 0.020000
Training Epoch: 26 [28160/47500]	Loss: 0.4645	LR: 0.020000
Training Epoch: 26 [28416/47500]	Loss: 0.5884	LR: 0.020000
Training Epoch: 26 [28672/47500]	Loss: 0.5394	LR: 0.020000
Training Epoch: 26 [28928/47500]	Loss: 0.4840	LR: 0.020000
Training Epoch: 26 [29184/47500]	Loss: 0.6084	LR: 0.020000
Training Epoch: 26 [29440/47500]	Loss: 0.5195	LR: 0.020000
Training Epoch: 26 [29696/47500]	Loss: 0.5965	LR: 0.020000
Training Epoch: 26 [29952/47500]	Loss: 0.4836	LR: 0.020000
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Training Epoch: 26 [30720/47500]	Loss: 0.6013	LR: 0.020000
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Training Epoch: 26 [35584/47500]	Loss: 0.4489	LR: 0.020000
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Training Epoch: 26 [36096/47500]	Loss: 0.6298	LR: 0.020000
Training Epoch: 26 [36352/47500]	Loss: 0.5242	LR: 0.020000
Training Epoch: 26 [36608/47500]	Loss: 0.4909	LR: 0.020000
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Training Epoch: 26 [37120/47500]	Loss: 0.5506	LR: 0.020000
Training Epoch: 26 [37376/47500]	Loss: 0.6006	LR: 0.020000
Training Epoch: 26 [37632/47500]	Loss: 0.5588	LR: 0.020000
Training Epoch: 26 [37888/47500]	Loss: 0.5724	LR: 0.020000
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Training Epoch: 26 [38400/47500]	Loss: 0.6015	LR: 0.020000
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Training Epoch: 26 [39168/47500]	Loss: 0.6588	LR: 0.020000
Training Epoch: 26 [39424/47500]	Loss: 0.6092	LR: 0.020000
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Training Epoch: 26 [40192/47500]	Loss: 0.4345	LR: 0.020000
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Training Epoch: 26 [41728/47500]	Loss: 0.5904	LR: 0.020000
Training Epoch: 26 [41984/47500]	Loss: 0.4953	LR: 0.020000
Training Epoch: 26 [42240/47500]	Loss: 0.5196	LR: 0.020000
Training Epoch: 26 [42496/47500]	Loss: 0.5493	LR: 0.020000
Training Epoch: 26 [42752/47500]	Loss: 0.5336	LR: 0.020000
Training Epoch: 26 [43008/47500]	Loss: 0.5241	LR: 0.020000
Training Epoch: 26 [43264/47500]	Loss: 0.5004	LR: 0.020000
Training Epoch: 26 [43520/47500]	Loss: 0.6149	LR: 0.020000
Training Epoch: 26 [43776/47500]	Loss: 0.4934	LR: 0.020000
Training Epoch: 26 [44032/47500]	Loss: 0.4948	LR: 0.020000
Training Epoch: 26 [44288/47500]	Loss: 0.4880	LR: 0.020000
Training Epoch: 26 [44544/47500]	Loss: 0.5533	LR: 0.020000
Training Epoch: 26 [44800/47500]	Loss: 0.5675	LR: 0.020000
Training Epoch: 26 [45056/47500]	Loss: 0.5555	LR: 0.020000
Training Epoch: 26 [45312/47500]	Loss: 0.5277	LR: 0.020000
Training Epoch: 26 [45568/47500]	Loss: 0.6381	LR: 0.020000
Training Epoch: 26 [45824/47500]	Loss: 0.5793	LR: 0.020000
Training Epoch: 26 [46080/47500]	Loss: 0.5644	LR: 0.020000
Training Epoch: 26 [46336/47500]	Loss: 0.5486	LR: 0.020000
Training Epoch: 26 [46592/47500]	Loss: 0.5707	LR: 0.020000
Training Epoch: 26 [46848/47500]	Loss: 0.5380	LR: 0.020000
Training Epoch: 26 [47104/47500]	Loss: 0.5300	LR: 0.020000
Training Epoch: 26 [47360/47500]	Loss: 0.4767	LR: 0.020000
Training Epoch: 26 [47500/47500]	Loss: 0.5121	LR: 0.020000
Epoch 26 - Average Train Loss: 0.5352, Train Accuracy: 0.8268
Epoch 26 training time consumed: 25.98s
Evaluating Network.....
Test set: Epoch: 26, Average loss: 0.0037, Accuracy: 0.7294, Time consumed:0.87s
Training Epoch: 27 [256/47500]	Loss: 0.4498	LR: 0.020000
Training Epoch: 27 [512/47500]	Loss: 0.4659	LR: 0.020000
Training Epoch: 27 [768/47500]	Loss: 0.5285	LR: 0.020000
Training Epoch: 27 [1024/47500]	Loss: 0.5362	LR: 0.020000
Training Epoch: 27 [1280/47500]	Loss: 0.4819	LR: 0.020000
Training Epoch: 27 [1536/47500]	Loss: 0.5198	LR: 0.020000
Training Epoch: 27 [1792/47500]	Loss: 0.4668	LR: 0.020000
Training Epoch: 27 [2048/47500]	Loss: 0.6001	LR: 0.020000
Training Epoch: 27 [2304/47500]	Loss: 0.5174	LR: 0.020000
Training Epoch: 27 [2560/47500]	Loss: 0.5175	LR: 0.020000
Training Epoch: 27 [2816/47500]	Loss: 0.5056	LR: 0.020000
Training Epoch: 27 [3072/47500]	Loss: 0.5001	LR: 0.020000
Training Epoch: 27 [3328/47500]	Loss: 0.5126	LR: 0.020000
Training Epoch: 27 [3584/47500]	Loss: 0.5070	LR: 0.020000
Training Epoch: 27 [3840/47500]	Loss: 0.5086	LR: 0.020000
Training Epoch: 27 [4096/47500]	Loss: 0.5714	LR: 0.020000
Training Epoch: 27 [4352/47500]	Loss: 0.5721	LR: 0.020000
Training Epoch: 27 [4608/47500]	Loss: 0.4368	LR: 0.020000
Training Epoch: 27 [4864/47500]	Loss: 0.4809	LR: 0.020000
Training Epoch: 27 [5120/47500]	Loss: 0.4607	LR: 0.020000
Training Epoch: 27 [5376/47500]	Loss: 0.5429	LR: 0.020000
Training Epoch: 27 [5632/47500]	Loss: 0.5014	LR: 0.020000
Training Epoch: 27 [5888/47500]	Loss: 0.6323	LR: 0.020000
Training Epoch: 27 [6144/47500]	Loss: 0.6033	LR: 0.020000
Training Epoch: 27 [6400/47500]	Loss: 0.4633	LR: 0.020000
Training Epoch: 27 [6656/47500]	Loss: 0.5349	LR: 0.020000
Training Epoch: 27 [6912/47500]	Loss: 0.5621	LR: 0.020000
Training Epoch: 27 [7168/47500]	Loss: 0.4872	LR: 0.020000
Training Epoch: 27 [7424/47500]	Loss: 0.4485	LR: 0.020000
Training Epoch: 27 [7680/47500]	Loss: 0.5346	LR: 0.020000
Training Epoch: 27 [7936/47500]	Loss: 0.4225	LR: 0.020000
Training Epoch: 27 [8192/47500]	Loss: 0.5413	LR: 0.020000
Training Epoch: 27 [8448/47500]	Loss: 0.4664	LR: 0.020000
Training Epoch: 27 [8704/47500]	Loss: 0.4856	LR: 0.020000
Training Epoch: 27 [8960/47500]	Loss: 0.5818	LR: 0.020000
Training Epoch: 27 [9216/47500]	Loss: 0.6307	LR: 0.020000
Training Epoch: 27 [9472/47500]	Loss: 0.4832	LR: 0.020000
Training Epoch: 27 [9728/47500]	Loss: 0.4564	LR: 0.020000
Training Epoch: 27 [9984/47500]	Loss: 0.5672	LR: 0.020000
Training Epoch: 27 [10240/47500]	Loss: 0.5977	LR: 0.020000
Training Epoch: 27 [10496/47500]	Loss: 0.4534	LR: 0.020000
Training Epoch: 27 [10752/47500]	Loss: 0.5374	LR: 0.020000
Training Epoch: 27 [11008/47500]	Loss: 0.4746	LR: 0.020000
Training Epoch: 27 [11264/47500]	Loss: 0.5467	LR: 0.020000
Training Epoch: 27 [11520/47500]	Loss: 0.5316	LR: 0.020000
Training Epoch: 27 [11776/47500]	Loss: 0.4963	LR: 0.020000
Training Epoch: 27 [12032/47500]	Loss: 0.5464	LR: 0.020000
Training Epoch: 27 [12288/47500]	Loss: 0.5981	LR: 0.020000
Training Epoch: 27 [12544/47500]	Loss: 0.4972	LR: 0.020000
Training Epoch: 27 [12800/47500]	Loss: 0.4471	LR: 0.020000
Training Epoch: 27 [13056/47500]	Loss: 0.4512	LR: 0.020000
Training Epoch: 27 [13312/47500]	Loss: 0.4955	LR: 0.020000
Training Epoch: 27 [13568/47500]	Loss: 0.5740	LR: 0.020000
Training Epoch: 27 [13824/47500]	Loss: 0.6075	LR: 0.020000
Training Epoch: 27 [14080/47500]	Loss: 0.4647	LR: 0.020000
Training Epoch: 27 [14336/47500]	Loss: 0.4635	LR: 0.020000
Training Epoch: 27 [14592/47500]	Loss: 0.4899	LR: 0.020000
Training Epoch: 27 [14848/47500]	Loss: 0.5507	LR: 0.020000
Training Epoch: 27 [15104/47500]	Loss: 0.4185	LR: 0.020000
Training Epoch: 27 [15360/47500]	Loss: 0.4966	LR: 0.020000
Training Epoch: 27 [15616/47500]	Loss: 0.5335	LR: 0.020000
Training Epoch: 27 [15872/47500]	Loss: 0.5015	LR: 0.020000
Training Epoch: 27 [16128/47500]	Loss: 0.5146	LR: 0.020000
Training Epoch: 27 [16384/47500]	Loss: 0.4284	LR: 0.020000
Training Epoch: 27 [16640/47500]	Loss: 0.5471	LR: 0.020000
Training Epoch: 27 [16896/47500]	Loss: 0.5340	LR: 0.020000
Training Epoch: 27 [17152/47500]	Loss: 0.4452	LR: 0.020000
Training Epoch: 27 [17408/47500]	Loss: 0.5248	LR: 0.020000
Training Epoch: 27 [17664/47500]	Loss: 0.4744	LR: 0.020000
Training Epoch: 27 [17920/47500]	Loss: 0.4886	LR: 0.020000
Training Epoch: 27 [18176/47500]	Loss: 0.5239	LR: 0.020000
Training Epoch: 27 [18432/47500]	Loss: 0.5552	LR: 0.020000
Training Epoch: 27 [18688/47500]	Loss: 0.5187	LR: 0.020000
Training Epoch: 27 [18944/47500]	Loss: 0.4793	LR: 0.020000
Training Epoch: 27 [19200/47500]	Loss: 0.4897	LR: 0.020000
Training Epoch: 27 [19456/47500]	Loss: 0.5949	LR: 0.020000
Training Epoch: 27 [19712/47500]	Loss: 0.5803	LR: 0.020000
Training Epoch: 27 [19968/47500]	Loss: 0.4446	LR: 0.020000
Training Epoch: 27 [20224/47500]	Loss: 0.4669	LR: 0.020000
Training Epoch: 27 [20480/47500]	Loss: 0.4954	LR: 0.020000
Training Epoch: 27 [20736/47500]	Loss: 0.4995	LR: 0.020000
Training Epoch: 27 [20992/47500]	Loss: 0.6139	LR: 0.020000
Training Epoch: 27 [21248/47500]	Loss: 0.5057	LR: 0.020000
Training Epoch: 27 [21504/47500]	Loss: 0.5777	LR: 0.020000
Training Epoch: 27 [21760/47500]	Loss: 0.4857	LR: 0.020000
Training Epoch: 27 [22016/47500]	Loss: 0.5683	LR: 0.020000
Training Epoch: 27 [22272/47500]	Loss: 0.5311	LR: 0.020000
Training Epoch: 27 [22528/47500]	Loss: 0.4943	LR: 0.020000
Training Epoch: 27 [22784/47500]	Loss: 0.6319	LR: 0.020000
Training Epoch: 27 [23040/47500]	Loss: 0.5104	LR: 0.020000
Training Epoch: 27 [23296/47500]	Loss: 0.5605	LR: 0.020000
Training Epoch: 27 [23552/47500]	Loss: 0.5393	LR: 0.020000
Training Epoch: 27 [23808/47500]	Loss: 0.4381	LR: 0.020000
Training Epoch: 27 [24064/47500]	Loss: 0.5228	LR: 0.020000
Training Epoch: 27 [24320/47500]	Loss: 0.5701	LR: 0.020000
Training Epoch: 27 [24576/47500]	Loss: 0.4500	LR: 0.020000
Training Epoch: 27 [24832/47500]	Loss: 0.5243	LR: 0.020000
Training Epoch: 27 [25088/47500]	Loss: 0.5768	LR: 0.020000
Training Epoch: 27 [25344/47500]	Loss: 0.5452	LR: 0.020000
Training Epoch: 27 [25600/47500]	Loss: 0.5743	LR: 0.020000
Training Epoch: 27 [25856/47500]	Loss: 0.5441	LR: 0.020000
Training Epoch: 27 [26112/47500]	Loss: 0.5749	LR: 0.020000
Training Epoch: 27 [26368/47500]	Loss: 0.6157	LR: 0.020000
Training Epoch: 27 [26624/47500]	Loss: 0.4606	LR: 0.020000
Training Epoch: 27 [26880/47500]	Loss: 0.5827	LR: 0.020000
Training Epoch: 27 [27136/47500]	Loss: 0.4588	LR: 0.020000
Training Epoch: 27 [27392/47500]	Loss: 0.5338	LR: 0.020000
Training Epoch: 27 [27648/47500]	Loss: 0.6020	LR: 0.020000
Training Epoch: 27 [27904/47500]	Loss: 0.5869	LR: 0.020000
Training Epoch: 27 [28160/47500]	Loss: 0.5712	LR: 0.020000
Training Epoch: 27 [28416/47500]	Loss: 0.4930	LR: 0.020000
Training Epoch: 27 [28672/47500]	Loss: 0.6643	LR: 0.020000
Training Epoch: 27 [28928/47500]	Loss: 0.6099	LR: 0.020000
Training Epoch: 27 [29184/47500]	Loss: 0.5062	LR: 0.020000
Training Epoch: 27 [29440/47500]	Loss: 0.5883	LR: 0.020000
Training Epoch: 27 [29696/47500]	Loss: 0.6023	LR: 0.020000
Training Epoch: 27 [29952/47500]	Loss: 0.5376	LR: 0.020000
Training Epoch: 27 [30208/47500]	Loss: 0.4715	LR: 0.020000
Training Epoch: 27 [30464/47500]	Loss: 0.4791	LR: 0.020000
Training Epoch: 27 [30720/47500]	Loss: 0.4975	LR: 0.020000
Training Epoch: 27 [30976/47500]	Loss: 0.5692	LR: 0.020000
Training Epoch: 27 [31232/47500]	Loss: 0.5032	LR: 0.020000
Training Epoch: 27 [31488/47500]	Loss: 0.6259	LR: 0.020000
Training Epoch: 27 [31744/47500]	Loss: 0.6315	LR: 0.020000
Training Epoch: 27 [32000/47500]	Loss: 0.4689	LR: 0.020000
Training Epoch: 27 [32256/47500]	Loss: 0.4979	LR: 0.020000
Training Epoch: 27 [32512/47500]	Loss: 0.4632	LR: 0.020000
Training Epoch: 27 [32768/47500]	Loss: 0.6091	LR: 0.020000
Training Epoch: 27 [33024/47500]	Loss: 0.5719	LR: 0.020000
Training Epoch: 27 [33280/47500]	Loss: 0.5940	LR: 0.020000
Training Epoch: 27 [33536/47500]	Loss: 0.4732	LR: 0.020000
Training Epoch: 27 [33792/47500]	Loss: 0.5560	LR: 0.020000
Training Epoch: 27 [34048/47500]	Loss: 0.6091	LR: 0.020000
Training Epoch: 27 [34304/47500]	Loss: 0.5357	LR: 0.020000
Training Epoch: 27 [34560/47500]	Loss: 0.5508	LR: 0.020000
Training Epoch: 27 [34816/47500]	Loss: 0.4755	LR: 0.020000
Training Epoch: 27 [35072/47500]	Loss: 0.6590	LR: 0.020000
Training Epoch: 27 [35328/47500]	Loss: 0.5479	LR: 0.020000
Training Epoch: 27 [35584/47500]	Loss: 0.5259	LR: 0.020000
Training Epoch: 27 [35840/47500]	Loss: 0.5245	LR: 0.020000
Training Epoch: 27 [36096/47500]	Loss: 0.6306	LR: 0.020000
Training Epoch: 27 [36352/47500]	Loss: 0.6349	LR: 0.020000
Training Epoch: 27 [36608/47500]	Loss: 0.6296	LR: 0.020000
Training Epoch: 27 [36864/47500]	Loss: 0.5870	LR: 0.020000
Training Epoch: 27 [37120/47500]	Loss: 0.4252	LR: 0.020000
Training Epoch: 27 [37376/47500]	Loss: 0.5406	LR: 0.020000
Training Epoch: 27 [37632/47500]	Loss: 0.5092	LR: 0.020000
Training Epoch: 27 [37888/47500]	Loss: 0.6043	LR: 0.020000
Training Epoch: 27 [38144/47500]	Loss: 0.5317	LR: 0.020000
Training Epoch: 27 [38400/47500]	Loss: 0.5921	LR: 0.020000
Training Epoch: 27 [38656/47500]	Loss: 0.6093	LR: 0.020000
Training Epoch: 27 [38912/47500]	Loss: 0.5655	LR: 0.020000
Training Epoch: 27 [39168/47500]	Loss: 0.5770	LR: 0.020000
Training Epoch: 27 [39424/47500]	Loss: 0.5898	LR: 0.020000
Training Epoch: 27 [39680/47500]	Loss: 0.6125	LR: 0.020000
Training Epoch: 27 [39936/47500]	Loss: 0.4938	LR: 0.020000
Training Epoch: 27 [40192/47500]	Loss: 0.5726	LR: 0.020000
Training Epoch: 27 [40448/47500]	Loss: 0.6088	LR: 0.020000
Training Epoch: 27 [40704/47500]	Loss: 0.4486	LR: 0.020000
Training Epoch: 27 [40960/47500]	Loss: 0.5927	LR: 0.020000
Training Epoch: 27 [41216/47500]	Loss: 0.5607	LR: 0.020000
Training Epoch: 27 [41472/47500]	Loss: 0.4741	LR: 0.020000
Training Epoch: 27 [41728/47500]	Loss: 0.5840	LR: 0.020000
Training Epoch: 27 [41984/47500]	Loss: 0.5414	LR: 0.020000
Training Epoch: 27 [42240/47500]	Loss: 0.4865	LR: 0.020000
Training Epoch: 27 [42496/47500]	Loss: 0.4992	LR: 0.020000
Training Epoch: 27 [42752/47500]	Loss: 0.5266	LR: 0.020000
Training Epoch: 27 [43008/47500]	Loss: 0.4814	LR: 0.020000
Training Epoch: 27 [43264/47500]	Loss: 0.6125	LR: 0.020000
Training Epoch: 27 [43520/47500]	Loss: 0.6165	LR: 0.020000
Training Epoch: 27 [43776/47500]	Loss: 0.5466	LR: 0.020000
Training Epoch: 27 [44032/47500]	Loss: 0.4883	LR: 0.020000
Training Epoch: 27 [44288/47500]	Loss: 0.5327	LR: 0.020000
Training Epoch: 27 [44544/47500]	Loss: 0.5839	LR: 0.020000
Training Epoch: 27 [44800/47500]	Loss: 0.6064	LR: 0.020000
Training Epoch: 27 [45056/47500]	Loss: 0.5643	LR: 0.020000
Training Epoch: 27 [45312/47500]	Loss: 0.5557	LR: 0.020000
Training Epoch: 27 [45568/47500]	Loss: 0.5215	LR: 0.020000
Training Epoch: 27 [45824/47500]	Loss: 0.5546	LR: 0.020000
Training Epoch: 27 [46080/47500]	Loss: 0.4920	LR: 0.020000
Training Epoch: 27 [46336/47500]	Loss: 0.5888	LR: 0.020000
Training Epoch: 27 [46592/47500]	Loss: 0.5197	LR: 0.020000
Training Epoch: 27 [46848/47500]	Loss: 0.5750	LR: 0.020000
Training Epoch: 27 [47104/47500]	Loss: 0.4563	LR: 0.020000
Training Epoch: 27 [47360/47500]	Loss: 0.5778	LR: 0.020000
Training Epoch: 27 [47500/47500]	Loss: 0.6911	LR: 0.020000
Epoch 27 - Average Train Loss: 0.5332, Train Accuracy: 0.8265
Epoch 27 training time consumed: 26.07s
Evaluating Network.....
Test set: Epoch: 27, Average loss: 0.0034, Accuracy: 0.7417, Time consumed:0.88s
Training Epoch: 28 [256/47500]	Loss: 0.4337	LR: 0.020000
Training Epoch: 28 [512/47500]	Loss: 0.5364	LR: 0.020000
Training Epoch: 28 [768/47500]	Loss: 0.4689	LR: 0.020000
Training Epoch: 28 [1024/47500]	Loss: 0.4050	LR: 0.020000
Training Epoch: 28 [1280/47500]	Loss: 0.5260	LR: 0.020000
Training Epoch: 28 [1536/47500]	Loss: 0.4401	LR: 0.020000
Training Epoch: 28 [1792/47500]	Loss: 0.4615	LR: 0.020000
Training Epoch: 28 [2048/47500]	Loss: 0.4827	LR: 0.020000
Training Epoch: 28 [2304/47500]	Loss: 0.4215	LR: 0.020000
Training Epoch: 28 [2560/47500]	Loss: 0.4806	LR: 0.020000
Training Epoch: 28 [2816/47500]	Loss: 0.3602	LR: 0.020000
Training Epoch: 28 [3072/47500]	Loss: 0.5108	LR: 0.020000
Training Epoch: 28 [3328/47500]	Loss: 0.5677	LR: 0.020000
Training Epoch: 28 [3584/47500]	Loss: 0.5426	LR: 0.020000
Training Epoch: 28 [3840/47500]	Loss: 0.6019	LR: 0.020000
Training Epoch: 28 [4096/47500]	Loss: 0.5026	LR: 0.020000
Training Epoch: 28 [4352/47500]	Loss: 0.5154	LR: 0.020000
Training Epoch: 28 [4608/47500]	Loss: 0.4742	LR: 0.020000
Training Epoch: 28 [4864/47500]	Loss: 0.5218	LR: 0.020000
Training Epoch: 28 [5120/47500]	Loss: 0.5505	LR: 0.020000
Training Epoch: 28 [5376/47500]	Loss: 0.4666	LR: 0.020000
Training Epoch: 28 [5632/47500]	Loss: 0.5203	LR: 0.020000
Training Epoch: 28 [5888/47500]	Loss: 0.6003	LR: 0.020000
Training Epoch: 28 [6144/47500]	Loss: 0.5306	LR: 0.020000
Training Epoch: 28 [6400/47500]	Loss: 0.4678	LR: 0.020000
Training Epoch: 28 [6656/47500]	Loss: 0.4965	LR: 0.020000
Training Epoch: 28 [6912/47500]	Loss: 0.5458	LR: 0.020000
Training Epoch: 28 [7168/47500]	Loss: 0.5706	LR: 0.020000
Training Epoch: 28 [7424/47500]	Loss: 0.4067	LR: 0.020000
Training Epoch: 28 [7680/47500]	Loss: 0.4521	LR: 0.020000
Training Epoch: 28 [7936/47500]	Loss: 0.5532	LR: 0.020000
Training Epoch: 28 [8192/47500]	Loss: 0.5581	LR: 0.020000
Training Epoch: 28 [8448/47500]	Loss: 0.5644	LR: 0.020000
Training Epoch: 28 [8704/47500]	Loss: 0.5386	LR: 0.020000
Training Epoch: 28 [8960/47500]	Loss: 0.5114	LR: 0.020000
Training Epoch: 28 [9216/47500]	Loss: 0.5183	LR: 0.020000
Training Epoch: 28 [9472/47500]	Loss: 0.5071	LR: 0.020000
Training Epoch: 28 [9728/47500]	Loss: 0.4659	LR: 0.020000
Training Epoch: 28 [9984/47500]	Loss: 0.6204	LR: 0.020000
Training Epoch: 28 [10240/47500]	Loss: 0.4834	LR: 0.020000
Training Epoch: 28 [10496/47500]	Loss: 0.5833	LR: 0.020000
Training Epoch: 28 [10752/47500]	Loss: 0.4705	LR: 0.020000
Training Epoch: 28 [11008/47500]	Loss: 0.6034	LR: 0.020000
Training Epoch: 28 [11264/47500]	Loss: 0.3920	LR: 0.020000
Training Epoch: 28 [11520/47500]	Loss: 0.5205	LR: 0.020000
Training Epoch: 28 [11776/47500]	Loss: 0.5581	LR: 0.020000
Training Epoch: 28 [12032/47500]	Loss: 0.5183	LR: 0.020000
Training Epoch: 28 [12288/47500]	Loss: 0.5745	LR: 0.020000
Training Epoch: 28 [12544/47500]	Loss: 0.5061	LR: 0.020000
Training Epoch: 28 [12800/47500]	Loss: 0.5418	LR: 0.020000
Training Epoch: 28 [13056/47500]	Loss: 0.4322	LR: 0.020000
Training Epoch: 28 [13312/47500]	Loss: 0.5069	LR: 0.020000
Training Epoch: 28 [13568/47500]	Loss: 0.5365	LR: 0.020000
Training Epoch: 28 [13824/47500]	Loss: 0.4675	LR: 0.020000
Training Epoch: 28 [14080/47500]	Loss: 0.4622	LR: 0.020000
Training Epoch: 28 [14336/47500]	Loss: 0.3665	LR: 0.020000
Training Epoch: 28 [14592/47500]	Loss: 0.5432	LR: 0.020000
Training Epoch: 28 [14848/47500]	Loss: 0.4844	LR: 0.020000
Training Epoch: 28 [15104/47500]	Loss: 0.5164	LR: 0.020000
Training Epoch: 28 [15360/47500]	Loss: 0.4013	LR: 0.020000
Training Epoch: 28 [15616/47500]	Loss: 0.4828	LR: 0.020000
Training Epoch: 28 [15872/47500]	Loss: 0.4772	LR: 0.020000
Training Epoch: 28 [16128/47500]	Loss: 0.5595	LR: 0.020000
Training Epoch: 28 [16384/47500]	Loss: 0.5626	LR: 0.020000
Training Epoch: 28 [16640/47500]	Loss: 0.4383	LR: 0.020000
Training Epoch: 28 [16896/47500]	Loss: 0.5574	LR: 0.020000
Training Epoch: 28 [17152/47500]	Loss: 0.5008	LR: 0.020000
Training Epoch: 28 [17408/47500]	Loss: 0.5635	LR: 0.020000
Training Epoch: 28 [17664/47500]	Loss: 0.3799	LR: 0.020000
Training Epoch: 28 [17920/47500]	Loss: 0.5014	LR: 0.020000
Training Epoch: 28 [18176/47500]	Loss: 0.6224	LR: 0.020000
Training Epoch: 28 [18432/47500]	Loss: 0.6244	LR: 0.020000
Training Epoch: 28 [18688/47500]	Loss: 0.5423	LR: 0.020000
Training Epoch: 28 [18944/47500]	Loss: 0.5787	LR: 0.020000
Training Epoch: 28 [19200/47500]	Loss: 0.6738	LR: 0.020000
Training Epoch: 28 [19456/47500]	Loss: 0.6065	LR: 0.020000
Training Epoch: 28 [19712/47500]	Loss: 0.5165	LR: 0.020000
Training Epoch: 28 [19968/47500]	Loss: 0.4690	LR: 0.020000
Training Epoch: 28 [20224/47500]	Loss: 0.4824	LR: 0.020000
Training Epoch: 28 [20480/47500]	Loss: 0.5132	LR: 0.020000
Training Epoch: 28 [20736/47500]	Loss: 0.6314	LR: 0.020000
Training Epoch: 28 [20992/47500]	Loss: 0.5855	LR: 0.020000
Training Epoch: 28 [21248/47500]	Loss: 0.6473	LR: 0.020000
Training Epoch: 28 [21504/47500]	Loss: 0.4743	LR: 0.020000
Training Epoch: 28 [21760/47500]	Loss: 0.5028	LR: 0.020000
Training Epoch: 28 [22016/47500]	Loss: 0.5183	LR: 0.020000
Training Epoch: 28 [22272/47500]	Loss: 0.5078	LR: 0.020000
Training Epoch: 28 [22528/47500]	Loss: 0.4714	LR: 0.020000
Training Epoch: 28 [22784/47500]	Loss: 0.5296	LR: 0.020000
Training Epoch: 28 [23040/47500]	Loss: 0.4770	LR: 0.020000
Training Epoch: 28 [23296/47500]	Loss: 0.4798	LR: 0.020000
Training Epoch: 28 [23552/47500]	Loss: 0.5511	LR: 0.020000
Training Epoch: 28 [23808/47500]	Loss: 0.5668	LR: 0.020000
Training Epoch: 28 [24064/47500]	Loss: 0.5496	LR: 0.020000
Training Epoch: 28 [24320/47500]	Loss: 0.5479	LR: 0.020000
Training Epoch: 28 [24576/47500]	Loss: 0.5193	LR: 0.020000
Training Epoch: 28 [24832/47500]	Loss: 0.5298	LR: 0.020000
Training Epoch: 28 [25088/47500]	Loss: 0.5185	LR: 0.020000
Training Epoch: 28 [25344/47500]	Loss: 0.5567	LR: 0.020000
Training Epoch: 28 [25600/47500]	Loss: 0.4984	LR: 0.020000
Training Epoch: 28 [25856/47500]	Loss: 0.5935	LR: 0.020000
Training Epoch: 28 [26112/47500]	Loss: 0.6178	LR: 0.020000
Training Epoch: 28 [26368/47500]	Loss: 0.5991	LR: 0.020000
Training Epoch: 28 [26624/47500]	Loss: 0.4448	LR: 0.020000
Training Epoch: 28 [26880/47500]	Loss: 0.5959	LR: 0.020000
Training Epoch: 28 [27136/47500]	Loss: 0.5736	LR: 0.020000
Training Epoch: 28 [27392/47500]	Loss: 0.4548	LR: 0.020000
Training Epoch: 28 [27648/47500]	Loss: 0.4451	LR: 0.020000
Training Epoch: 28 [27904/47500]	Loss: 0.5339	LR: 0.020000
Training Epoch: 28 [28160/47500]	Loss: 0.4930	LR: 0.020000
Training Epoch: 28 [28416/47500]	Loss: 0.4039	LR: 0.020000
Training Epoch: 28 [28672/47500]	Loss: 0.5917	LR: 0.020000
Training Epoch: 28 [28928/47500]	Loss: 0.4912	LR: 0.020000
Training Epoch: 28 [29184/47500]	Loss: 0.3797	LR: 0.020000
Training Epoch: 28 [29440/47500]	Loss: 0.5039	LR: 0.020000
Training Epoch: 28 [29696/47500]	Loss: 0.4965	LR: 0.020000
Training Epoch: 28 [29952/47500]	Loss: 0.5907	LR: 0.020000
Training Epoch: 28 [30208/47500]	Loss: 0.5210	LR: 0.020000
Training Epoch: 28 [30464/47500]	Loss: 0.5379	LR: 0.020000
Training Epoch: 28 [30720/47500]	Loss: 0.5015	LR: 0.020000
Training Epoch: 28 [30976/47500]	Loss: 0.6151	LR: 0.020000
Training Epoch: 28 [31232/47500]	Loss: 0.5008	LR: 0.020000
Training Epoch: 28 [31488/47500]	Loss: 0.5373	LR: 0.020000
Training Epoch: 28 [31744/47500]	Loss: 0.5507	LR: 0.020000
Training Epoch: 28 [32000/47500]	Loss: 0.5374	LR: 0.020000
Training Epoch: 28 [32256/47500]	Loss: 0.5396	LR: 0.020000
Training Epoch: 28 [32512/47500]	Loss: 0.5854	LR: 0.020000
Training Epoch: 28 [32768/47500]	Loss: 0.4855	LR: 0.020000
Training Epoch: 28 [33024/47500]	Loss: 0.4736	LR: 0.020000
Training Epoch: 28 [33280/47500]	Loss: 0.4607	LR: 0.020000
Training Epoch: 28 [33536/47500]	Loss: 0.5539	LR: 0.020000
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Training Epoch: 28 [35072/47500]	Loss: 0.6161	LR: 0.020000
Training Epoch: 28 [35328/47500]	Loss: 0.6064	LR: 0.020000
Training Epoch: 28 [35584/47500]	Loss: 0.5304	LR: 0.020000
Training Epoch: 28 [35840/47500]	Loss: 0.5126	LR: 0.020000
Training Epoch: 28 [36096/47500]	Loss: 0.6043	LR: 0.020000
Training Epoch: 28 [36352/47500]	Loss: 0.4833	LR: 0.020000
Training Epoch: 28 [36608/47500]	Loss: 0.5209	LR: 0.020000
Training Epoch: 28 [36864/47500]	Loss: 0.5381	LR: 0.020000
Training Epoch: 28 [37120/47500]	Loss: 0.5197	LR: 0.020000
Training Epoch: 28 [37376/47500]	Loss: 0.5082	LR: 0.020000
Training Epoch: 28 [37632/47500]	Loss: 0.4363	LR: 0.020000
Training Epoch: 28 [37888/47500]	Loss: 0.5603	LR: 0.020000
Training Epoch: 28 [38144/47500]	Loss: 0.5210	LR: 0.020000
Training Epoch: 28 [38400/47500]	Loss: 0.6582	LR: 0.020000
Training Epoch: 28 [38656/47500]	Loss: 0.4628	LR: 0.020000
Training Epoch: 28 [38912/47500]	Loss: 0.5059	LR: 0.020000
Training Epoch: 28 [39168/47500]	Loss: 0.7567	LR: 0.020000
Training Epoch: 28 [39424/47500]	Loss: 0.5398	LR: 0.020000
Training Epoch: 28 [39680/47500]	Loss: 0.5449	LR: 0.020000
Training Epoch: 28 [39936/47500]	Loss: 0.6589	LR: 0.020000
Training Epoch: 28 [40192/47500]	Loss: 0.6035	LR: 0.020000
Training Epoch: 28 [40448/47500]	Loss: 0.5136	LR: 0.020000
Training Epoch: 28 [40704/47500]	Loss: 0.6254	LR: 0.020000
Training Epoch: 28 [40960/47500]	Loss: 0.5457	LR: 0.020000
Training Epoch: 28 [41216/47500]	Loss: 0.4903	LR: 0.020000
Training Epoch: 28 [41472/47500]	Loss: 0.4630	LR: 0.020000
Training Epoch: 28 [41728/47500]	Loss: 0.5471	LR: 0.020000
Training Epoch: 28 [41984/47500]	Loss: 0.5555	LR: 0.020000
Training Epoch: 28 [42240/47500]	Loss: 0.5834	LR: 0.020000
Training Epoch: 28 [42496/47500]	Loss: 0.5178	LR: 0.020000
Training Epoch: 28 [42752/47500]	Loss: 0.4836	LR: 0.020000
Training Epoch: 28 [43008/47500]	Loss: 0.5500	LR: 0.020000
Training Epoch: 28 [43264/47500]	Loss: 0.5337	LR: 0.020000
Training Epoch: 28 [43520/47500]	Loss: 0.4438	LR: 0.020000
Training Epoch: 28 [43776/47500]	Loss: 0.5499	LR: 0.020000
Training Epoch: 28 [44032/47500]	Loss: 0.6880	LR: 0.020000
Training Epoch: 28 [44288/47500]	Loss: 0.5380	LR: 0.020000
Training Epoch: 28 [44544/47500]	Loss: 0.4718	LR: 0.020000
Training Epoch: 28 [44800/47500]	Loss: 0.4827	LR: 0.020000
Training Epoch: 28 [45056/47500]	Loss: 0.6367	LR: 0.020000
Training Epoch: 28 [45312/47500]	Loss: 0.4903	LR: 0.020000
Training Epoch: 28 [45568/47500]	Loss: 0.5941	LR: 0.020000
Training Epoch: 28 [45824/47500]	Loss: 0.4572	LR: 0.020000
Training Epoch: 28 [46080/47500]	Loss: 0.4173	LR: 0.020000
Training Epoch: 28 [46336/47500]	Loss: 0.4351	LR: 0.020000
Training Epoch: 28 [46592/47500]	Loss: 0.5198	LR: 0.020000
Training Epoch: 28 [46848/47500]	Loss: 0.6649	LR: 0.020000
Training Epoch: 28 [47104/47500]	Loss: 0.5461	LR: 0.020000
Training Epoch: 28 [47360/47500]	Loss: 0.6065	LR: 0.020000
Training Epoch: 28 [47500/47500]	Loss: 0.4845	LR: 0.020000
Epoch 28 - Average Train Loss: 0.5233, Train Accuracy: 0.8283
Epoch 28 training time consumed: 25.86s
Evaluating Network.....
Test set: Epoch: 28, Average loss: 0.0036, Accuracy: 0.7376, Time consumed:0.87s
Training Epoch: 29 [256/47500]	Loss: 0.4613	LR: 0.020000
Training Epoch: 29 [512/47500]	Loss: 0.3889	LR: 0.020000
Training Epoch: 29 [768/47500]	Loss: 0.4957	LR: 0.020000
Training Epoch: 29 [1024/47500]	Loss: 0.4449	LR: 0.020000
Training Epoch: 29 [1280/47500]	Loss: 0.5935	LR: 0.020000
Training Epoch: 29 [1536/47500]	Loss: 0.4617	LR: 0.020000
Training Epoch: 29 [1792/47500]	Loss: 0.5396	LR: 0.020000
Training Epoch: 29 [2048/47500]	Loss: 0.4966	LR: 0.020000
Training Epoch: 29 [2304/47500]	Loss: 0.4525	LR: 0.020000
Training Epoch: 29 [2560/47500]	Loss: 0.4777	LR: 0.020000
Training Epoch: 29 [2816/47500]	Loss: 0.4973	LR: 0.020000
Training Epoch: 29 [3072/47500]	Loss: 0.4213	LR: 0.020000
Training Epoch: 29 [3328/47500]	Loss: 0.4866	LR: 0.020000
Training Epoch: 29 [3584/47500]	Loss: 0.4552	LR: 0.020000
Training Epoch: 29 [3840/47500]	Loss: 0.4773	LR: 0.020000
Training Epoch: 29 [4096/47500]	Loss: 0.5420	LR: 0.020000
Training Epoch: 29 [4352/47500]	Loss: 0.4828	LR: 0.020000
Training Epoch: 29 [4608/47500]	Loss: 0.5028	LR: 0.020000
Training Epoch: 29 [4864/47500]	Loss: 0.5159	LR: 0.020000
Training Epoch: 29 [5120/47500]	Loss: 0.3250	LR: 0.020000
Training Epoch: 29 [5376/47500]	Loss: 0.4803	LR: 0.020000
Training Epoch: 29 [5632/47500]	Loss: 0.4168	LR: 0.020000
Training Epoch: 29 [5888/47500]	Loss: 0.5030	LR: 0.020000
Training Epoch: 29 [6144/47500]	Loss: 0.5755	LR: 0.020000
Training Epoch: 29 [6400/47500]	Loss: 0.5440	LR: 0.020000
Training Epoch: 29 [6656/47500]	Loss: 0.5374	LR: 0.020000
Training Epoch: 29 [6912/47500]	Loss: 0.5247	LR: 0.020000
Training Epoch: 29 [7168/47500]	Loss: 0.4365	LR: 0.020000
Training Epoch: 29 [7424/47500]	Loss: 0.4618	LR: 0.020000
Training Epoch: 29 [7680/47500]	Loss: 0.5278	LR: 0.020000
Training Epoch: 29 [7936/47500]	Loss: 0.5601	LR: 0.020000
Training Epoch: 29 [8192/47500]	Loss: 0.4589	LR: 0.020000
Training Epoch: 29 [8448/47500]	Loss: 0.4673	LR: 0.020000
Training Epoch: 29 [8704/47500]	Loss: 0.4517	LR: 0.020000
Training Epoch: 29 [8960/47500]	Loss: 0.5828	LR: 0.020000
Training Epoch: 29 [9216/47500]	Loss: 0.4520	LR: 0.020000
Training Epoch: 29 [9472/47500]	Loss: 0.4647	LR: 0.020000
Training Epoch: 29 [9728/47500]	Loss: 0.5836	LR: 0.020000
Training Epoch: 29 [9984/47500]	Loss: 0.5892	LR: 0.020000
Training Epoch: 29 [10240/47500]	Loss: 0.5249	LR: 0.020000
Training Epoch: 29 [10496/47500]	Loss: 0.4996	LR: 0.020000
Training Epoch: 29 [10752/47500]	Loss: 0.5245	LR: 0.020000
Training Epoch: 29 [11008/47500]	Loss: 0.5375	LR: 0.020000
Training Epoch: 29 [11264/47500]	Loss: 0.6243	LR: 0.020000
Training Epoch: 29 [11520/47500]	Loss: 0.5528	LR: 0.020000
Training Epoch: 29 [11776/47500]	Loss: 0.5662	LR: 0.020000
Training Epoch: 29 [12032/47500]	Loss: 0.5080	LR: 0.020000
Training Epoch: 29 [12288/47500]	Loss: 0.4881	LR: 0.020000
Training Epoch: 29 [12544/47500]	Loss: 0.4766	LR: 0.020000
Training Epoch: 29 [12800/47500]	Loss: 0.5290	LR: 0.020000
Training Epoch: 29 [13056/47500]	Loss: 0.5381	LR: 0.020000
Training Epoch: 29 [13312/47500]	Loss: 0.5058	LR: 0.020000
Training Epoch: 29 [13568/47500]	Loss: 0.5457	LR: 0.020000
Training Epoch: 29 [13824/47500]	Loss: 0.4500	LR: 0.020000
Training Epoch: 29 [14080/47500]	Loss: 0.5283	LR: 0.020000
Training Epoch: 29 [14336/47500]	Loss: 0.5503	LR: 0.020000
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Training Epoch: 29 [14848/47500]	Loss: 0.4628	LR: 0.020000
Training Epoch: 29 [15104/47500]	Loss: 0.4839	LR: 0.020000
Training Epoch: 29 [15360/47500]	Loss: 0.5049	LR: 0.020000
Training Epoch: 29 [15616/47500]	Loss: 0.4505	LR: 0.020000
Training Epoch: 29 [15872/47500]	Loss: 0.4548	LR: 0.020000
Training Epoch: 29 [16128/47500]	Loss: 0.5295	LR: 0.020000
Training Epoch: 29 [16384/47500]	Loss: 0.4836	LR: 0.020000
Training Epoch: 29 [16640/47500]	Loss: 0.5558	LR: 0.020000
Training Epoch: 29 [16896/47500]	Loss: 0.4406	LR: 0.020000
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Training Epoch: 29 [17408/47500]	Loss: 0.5300	LR: 0.020000
Training Epoch: 29 [17664/47500]	Loss: 0.5060	LR: 0.020000
Training Epoch: 29 [17920/47500]	Loss: 0.4598	LR: 0.020000
Training Epoch: 29 [18176/47500]	Loss: 0.4450	LR: 0.020000
Training Epoch: 29 [18432/47500]	Loss: 0.5316	LR: 0.020000
Training Epoch: 29 [18688/47500]	Loss: 0.5091	LR: 0.020000
Training Epoch: 29 [18944/47500]	Loss: 0.4964	LR: 0.020000
Training Epoch: 29 [19200/47500]	Loss: 0.5527	LR: 0.020000
Training Epoch: 29 [19456/47500]	Loss: 0.5092	LR: 0.020000
Training Epoch: 29 [19712/47500]	Loss: 0.4903	LR: 0.020000
Training Epoch: 29 [19968/47500]	Loss: 0.4583	LR: 0.020000
Training Epoch: 29 [20224/47500]	Loss: 0.5154	LR: 0.020000
Training Epoch: 29 [20480/47500]	Loss: 0.5002	LR: 0.020000
Training Epoch: 29 [20736/47500]	Loss: 0.4539	LR: 0.020000
Training Epoch: 29 [20992/47500]	Loss: 0.5053	LR: 0.020000
Training Epoch: 29 [21248/47500]	Loss: 0.4151	LR: 0.020000
Training Epoch: 29 [21504/47500]	Loss: 0.4988	LR: 0.020000
Training Epoch: 29 [21760/47500]	Loss: 0.4618	LR: 0.020000
Training Epoch: 29 [22016/47500]	Loss: 0.4759	LR: 0.020000
Training Epoch: 29 [22272/47500]	Loss: 0.6080	LR: 0.020000
Training Epoch: 29 [22528/47500]	Loss: 0.4285	LR: 0.020000
Training Epoch: 29 [22784/47500]	Loss: 0.5364	LR: 0.020000
Training Epoch: 29 [23040/47500]	Loss: 0.5175	LR: 0.020000
Training Epoch: 29 [23296/47500]	Loss: 0.5010	LR: 0.020000
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Training Epoch: 29 [24832/47500]	Loss: 0.5207	LR: 0.020000
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Training Epoch: 29 [25344/47500]	Loss: 0.4540	LR: 0.020000
Training Epoch: 29 [25600/47500]	Loss: 0.5439	LR: 0.020000
Training Epoch: 29 [25856/47500]	Loss: 0.4647	LR: 0.020000
Training Epoch: 29 [26112/47500]	Loss: 0.5462	LR: 0.020000
Training Epoch: 29 [26368/47500]	Loss: 0.4967	LR: 0.020000
Training Epoch: 29 [26624/47500]	Loss: 0.4954	LR: 0.020000
Training Epoch: 29 [26880/47500]	Loss: 0.4890	LR: 0.020000
Training Epoch: 29 [27136/47500]	Loss: 0.5823	LR: 0.020000
Training Epoch: 29 [27392/47500]	Loss: 0.5573	LR: 0.020000
Training Epoch: 29 [27648/47500]	Loss: 0.5370	LR: 0.020000
Training Epoch: 29 [27904/47500]	Loss: 0.5551	LR: 0.020000
Training Epoch: 29 [28160/47500]	Loss: 0.4191	LR: 0.020000
Training Epoch: 29 [28416/47500]	Loss: 0.5138	LR: 0.020000
Training Epoch: 29 [28672/47500]	Loss: 0.4824	LR: 0.020000
Training Epoch: 29 [28928/47500]	Loss: 0.5103	LR: 0.020000
Training Epoch: 29 [29184/47500]	Loss: 0.5319	LR: 0.020000
Training Epoch: 29 [29440/47500]	Loss: 0.5421	LR: 0.020000
Training Epoch: 29 [29696/47500]	Loss: 0.5652	LR: 0.020000
Training Epoch: 29 [29952/47500]	Loss: 0.4492	LR: 0.020000
Training Epoch: 29 [30208/47500]	Loss: 0.5040	LR: 0.020000
Training Epoch: 29 [30464/47500]	Loss: 0.5060	LR: 0.020000
Training Epoch: 29 [30720/47500]	Loss: 0.6040	LR: 0.020000
Training Epoch: 29 [30976/47500]	Loss: 0.5439	LR: 0.020000
Training Epoch: 29 [31232/47500]	Loss: 0.5245	LR: 0.020000
Training Epoch: 29 [31488/47500]	Loss: 0.4670	LR: 0.020000
Training Epoch: 29 [31744/47500]	Loss: 0.5889	LR: 0.020000
Training Epoch: 29 [32000/47500]	Loss: 0.4678	LR: 0.020000
Training Epoch: 29 [32256/47500]	Loss: 0.5647	LR: 0.020000
Training Epoch: 29 [32512/47500]	Loss: 0.4558	LR: 0.020000
Training Epoch: 29 [32768/47500]	Loss: 0.5352	LR: 0.020000
Training Epoch: 29 [33024/47500]	Loss: 0.4996	LR: 0.020000
Training Epoch: 29 [33280/47500]	Loss: 0.5647	LR: 0.020000
Training Epoch: 29 [33536/47500]	Loss: 0.4389	LR: 0.020000
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Training Epoch: 29 [34560/47500]	Loss: 0.3930	LR: 0.020000
Training Epoch: 29 [34816/47500]	Loss: 0.5540	LR: 0.020000
Training Epoch: 29 [35072/47500]	Loss: 0.5940	LR: 0.020000
Training Epoch: 29 [35328/47500]	Loss: 0.4610	LR: 0.020000
Training Epoch: 29 [35584/47500]	Loss: 0.5070	LR: 0.020000
Training Epoch: 29 [35840/47500]	Loss: 0.5966	LR: 0.020000
Training Epoch: 29 [36096/47500]	Loss: 0.4601	LR: 0.020000
Training Epoch: 29 [36352/47500]	Loss: 0.4821	LR: 0.020000
Training Epoch: 29 [36608/47500]	Loss: 0.6179	LR: 0.020000
Training Epoch: 29 [36864/47500]	Loss: 0.5027	LR: 0.020000
Training Epoch: 29 [37120/47500]	Loss: 0.5918	LR: 0.020000
Training Epoch: 29 [37376/47500]	Loss: 0.4407	LR: 0.020000
Training Epoch: 29 [37632/47500]	Loss: 0.5737	LR: 0.020000
Training Epoch: 29 [37888/47500]	Loss: 0.5246	LR: 0.020000
Training Epoch: 29 [38144/47500]	Loss: 0.4632	LR: 0.020000
Training Epoch: 29 [38400/47500]	Loss: 0.6532	LR: 0.020000
Training Epoch: 29 [38656/47500]	Loss: 0.5638	LR: 0.020000
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Training Epoch: 29 [39168/47500]	Loss: 0.6128	LR: 0.020000
Training Epoch: 29 [39424/47500]	Loss: 0.4949	LR: 0.020000
Training Epoch: 29 [39680/47500]	Loss: 0.5607	LR: 0.020000
Training Epoch: 29 [39936/47500]	Loss: 0.4538	LR: 0.020000
Training Epoch: 29 [40192/47500]	Loss: 0.5629	LR: 0.020000
Training Epoch: 29 [40448/47500]	Loss: 0.5088	LR: 0.020000
Training Epoch: 29 [40704/47500]	Loss: 0.5103	LR: 0.020000
Training Epoch: 29 [40960/47500]	Loss: 0.6047	LR: 0.020000
Training Epoch: 29 [41216/47500]	Loss: 0.5159	LR: 0.020000
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Training Epoch: 29 [41728/47500]	Loss: 0.5992	LR: 0.020000
Training Epoch: 29 [41984/47500]	Loss: 0.5218	LR: 0.020000
Training Epoch: 29 [42240/47500]	Loss: 0.5052	LR: 0.020000
Training Epoch: 29 [42496/47500]	Loss: 0.4841	LR: 0.020000
Training Epoch: 29 [42752/47500]	Loss: 0.5310	LR: 0.020000
Training Epoch: 29 [43008/47500]	Loss: 0.6014	LR: 0.020000
Training Epoch: 29 [43264/47500]	Loss: 0.4688	LR: 0.020000
Training Epoch: 29 [43520/47500]	Loss: 0.4884	LR: 0.020000
Training Epoch: 29 [43776/47500]	Loss: 0.5590	LR: 0.020000
Training Epoch: 29 [44032/47500]	Loss: 0.5316	LR: 0.020000
Training Epoch: 29 [44288/47500]	Loss: 0.4728	LR: 0.020000
Training Epoch: 29 [44544/47500]	Loss: 0.6121	LR: 0.020000
Training Epoch: 29 [44800/47500]	Loss: 0.5163	LR: 0.020000
Training Epoch: 29 [45056/47500]	Loss: 0.6227	LR: 0.020000
Training Epoch: 29 [45312/47500]	Loss: 0.5497	LR: 0.020000
Training Epoch: 29 [45568/47500]	Loss: 0.5265	LR: 0.020000
Training Epoch: 29 [45824/47500]	Loss: 0.5252	LR: 0.020000
Training Epoch: 29 [46080/47500]	Loss: 0.4299	LR: 0.020000
Training Epoch: 29 [46336/47500]	Loss: 0.5428	LR: 0.020000
Training Epoch: 29 [46592/47500]	Loss: 0.6007	LR: 0.020000
Training Epoch: 29 [46848/47500]	Loss: 0.5648	LR: 0.020000
Training Epoch: 29 [47104/47500]	Loss: 0.5287	LR: 0.020000
Training Epoch: 29 [47360/47500]	Loss: 0.5330	LR: 0.020000
Training Epoch: 29 [47500/47500]	Loss: 0.5454	LR: 0.020000
Epoch 29 - Average Train Loss: 0.5114, Train Accuracy: 0.8348
Epoch 29 training time consumed: 26.12s
Evaluating Network.....
Test set: Epoch: 29, Average loss: 0.0039, Accuracy: 0.7190, Time consumed:0.92s
Training Epoch: 30 [256/47500]	Loss: 0.5078	LR: 0.004000
Training Epoch: 30 [512/47500]	Loss: 0.4970	LR: 0.004000
Training Epoch: 30 [768/47500]	Loss: 0.3897	LR: 0.004000
Training Epoch: 30 [1024/47500]	Loss: 0.4664	LR: 0.004000
Training Epoch: 30 [1280/47500]	Loss: 0.4396	LR: 0.004000
Training Epoch: 30 [1536/47500]	Loss: 0.4918	LR: 0.004000
Training Epoch: 30 [1792/47500]	Loss: 0.4200	LR: 0.004000
Training Epoch: 30 [2048/47500]	Loss: 0.3965	LR: 0.004000
Training Epoch: 30 [2304/47500]	Loss: 0.4199	LR: 0.004000
Training Epoch: 30 [2560/47500]	Loss: 0.4283	LR: 0.004000
Training Epoch: 30 [2816/47500]	Loss: 0.4541	LR: 0.004000
Training Epoch: 30 [3072/47500]	Loss: 0.4164	LR: 0.004000
Training Epoch: 30 [3328/47500]	Loss: 0.4487	LR: 0.004000
Training Epoch: 30 [3584/47500]	Loss: 0.4937	LR: 0.004000
Training Epoch: 30 [3840/47500]	Loss: 0.4796	LR: 0.004000
Training Epoch: 30 [4096/47500]	Loss: 0.5403	LR: 0.004000
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Training Epoch: 30 [47500/47500]	Loss: 0.3781	LR: 0.004000
Epoch 30 - Average Train Loss: 0.3993, Train Accuracy: 0.8739
Epoch 30 training time consumed: 26.00s
Evaluating Network.....
Test set: Epoch: 30, Average loss: 0.0029, Accuracy: 0.7814, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_22h_43m_16s/AllCNN-Cifar20-seed7-ret50-30-best.pth
Training Epoch: 31 [256/47500]	Loss: 0.2975	LR: 0.004000
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Training Epoch: 31 [47360/47500]	Loss: 0.3912	LR: 0.004000
Training Epoch: 31 [47500/47500]	Loss: 0.4190	LR: 0.004000
Epoch 31 - Average Train Loss: 0.3653, Train Accuracy: 0.8869
Epoch 31 training time consumed: 26.07s
Evaluating Network.....
Test set: Epoch: 31, Average loss: 0.0029, Accuracy: 0.7835, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_22h_43m_16s/AllCNN-Cifar20-seed7-ret50-31-best.pth
Training Epoch: 32 [256/47500]	Loss: 0.3966	LR: 0.004000
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Training Epoch: 32 [47500/47500]	Loss: 0.3053	LR: 0.004000
Epoch 32 - Average Train Loss: 0.3452, Train Accuracy: 0.8949
Epoch 32 training time consumed: 25.86s
Evaluating Network.....
Test set: Epoch: 32, Average loss: 0.0030, Accuracy: 0.7794, Time consumed:0.87s
Training Epoch: 33 [256/47500]	Loss: 0.2617	LR: 0.004000
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Training Epoch: 33 [6656/47500]	Loss: 0.2537	LR: 0.004000
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Training Epoch: 33 [7168/47500]	Loss: 0.3188	LR: 0.004000
Training Epoch: 33 [7424/47500]	Loss: 0.3027	LR: 0.004000
Training Epoch: 33 [7680/47500]	Loss: 0.3202	LR: 0.004000
Training Epoch: 33 [7936/47500]	Loss: 0.3229	LR: 0.004000
Training Epoch: 33 [8192/47500]	Loss: 0.3609	LR: 0.004000
Training Epoch: 33 [8448/47500]	Loss: 0.3299	LR: 0.004000
Training Epoch: 33 [8704/47500]	Loss: 0.3300	LR: 0.004000
Training Epoch: 33 [8960/47500]	Loss: 0.3486	LR: 0.004000
Training Epoch: 33 [9216/47500]	Loss: 0.3599	LR: 0.004000
Training Epoch: 33 [9472/47500]	Loss: 0.2608	LR: 0.004000
Training Epoch: 33 [9728/47500]	Loss: 0.3113	LR: 0.004000
Training Epoch: 33 [9984/47500]	Loss: 0.3555	LR: 0.004000
Training Epoch: 33 [10240/47500]	Loss: 0.4204	LR: 0.004000
Training Epoch: 33 [10496/47500]	Loss: 0.2748	LR: 0.004000
Training Epoch: 33 [10752/47500]	Loss: 0.4377	LR: 0.004000
Training Epoch: 33 [11008/47500]	Loss: 0.3865	LR: 0.004000
Training Epoch: 33 [11264/47500]	Loss: 0.3676	LR: 0.004000
Training Epoch: 33 [11520/47500]	Loss: 0.3690	LR: 0.004000
Training Epoch: 33 [11776/47500]	Loss: 0.3073	LR: 0.004000
Training Epoch: 33 [12032/47500]	Loss: 0.3333	LR: 0.004000
Training Epoch: 33 [12288/47500]	Loss: 0.3546	LR: 0.004000
Training Epoch: 33 [12544/47500]	Loss: 0.3043	LR: 0.004000
Training Epoch: 33 [12800/47500]	Loss: 0.3108	LR: 0.004000
Training Epoch: 33 [13056/47500]	Loss: 0.4354	LR: 0.004000
Training Epoch: 33 [13312/47500]	Loss: 0.3027	LR: 0.004000
Training Epoch: 33 [13568/47500]	Loss: 0.3285	LR: 0.004000
Training Epoch: 33 [13824/47500]	Loss: 0.4491	LR: 0.004000
Training Epoch: 33 [14080/47500]	Loss: 0.3319	LR: 0.004000
Training Epoch: 33 [14336/47500]	Loss: 0.3278	LR: 0.004000
Training Epoch: 33 [14592/47500]	Loss: 0.2809	LR: 0.004000
Training Epoch: 33 [14848/47500]	Loss: 0.3905	LR: 0.004000
Training Epoch: 33 [15104/47500]	Loss: 0.4058	LR: 0.004000
Training Epoch: 33 [15360/47500]	Loss: 0.3723	LR: 0.004000
Training Epoch: 33 [15616/47500]	Loss: 0.3145	LR: 0.004000
Training Epoch: 33 [15872/47500]	Loss: 0.4097	LR: 0.004000
Training Epoch: 33 [16128/47500]	Loss: 0.3924	LR: 0.004000
Training Epoch: 33 [16384/47500]	Loss: 0.3196	LR: 0.004000
Training Epoch: 33 [16640/47500]	Loss: 0.3155	LR: 0.004000
Training Epoch: 33 [16896/47500]	Loss: 0.4219	LR: 0.004000
Training Epoch: 33 [17152/47500]	Loss: 0.3991	LR: 0.004000
Training Epoch: 33 [17408/47500]	Loss: 0.3597	LR: 0.004000
Training Epoch: 33 [17664/47500]	Loss: 0.2683	LR: 0.004000
Training Epoch: 33 [17920/47500]	Loss: 0.3045	LR: 0.004000
Training Epoch: 33 [18176/47500]	Loss: 0.2711	LR: 0.004000
Training Epoch: 33 [18432/47500]	Loss: 0.3404	LR: 0.004000
Training Epoch: 33 [18688/47500]	Loss: 0.3265	LR: 0.004000
Training Epoch: 33 [18944/47500]	Loss: 0.2837	LR: 0.004000
Training Epoch: 33 [19200/47500]	Loss: 0.3652	LR: 0.004000
Training Epoch: 33 [19456/47500]	Loss: 0.4254	LR: 0.004000
Training Epoch: 33 [19712/47500]	Loss: 0.3476	LR: 0.004000
Training Epoch: 33 [19968/47500]	Loss: 0.3763	LR: 0.004000
Training Epoch: 33 [20224/47500]	Loss: 0.2997	LR: 0.004000
Training Epoch: 33 [20480/47500]	Loss: 0.2775	LR: 0.004000
Training Epoch: 33 [20736/47500]	Loss: 0.3397	LR: 0.004000
Training Epoch: 33 [20992/47500]	Loss: 0.3521	LR: 0.004000
Training Epoch: 33 [21248/47500]	Loss: 0.3123	LR: 0.004000
Training Epoch: 33 [21504/47500]	Loss: 0.3141	LR: 0.004000
Training Epoch: 33 [21760/47500]	Loss: 0.3300	LR: 0.004000
Training Epoch: 33 [22016/47500]	Loss: 0.3324	LR: 0.004000
Training Epoch: 33 [22272/47500]	Loss: 0.3322	LR: 0.004000
Training Epoch: 33 [22528/47500]	Loss: 0.3387	LR: 0.004000
Training Epoch: 33 [22784/47500]	Loss: 0.3995	LR: 0.004000
Training Epoch: 33 [23040/47500]	Loss: 0.3986	LR: 0.004000
Training Epoch: 33 [23296/47500]	Loss: 0.3919	LR: 0.004000
Training Epoch: 33 [23552/47500]	Loss: 0.3612	LR: 0.004000
Training Epoch: 33 [23808/47500]	Loss: 0.3013	LR: 0.004000
Training Epoch: 33 [24064/47500]	Loss: 0.2413	LR: 0.004000
Training Epoch: 33 [24320/47500]	Loss: 0.2910	LR: 0.004000
Training Epoch: 33 [24576/47500]	Loss: 0.3631	LR: 0.004000
Training Epoch: 33 [24832/47500]	Loss: 0.3637	LR: 0.004000
Training Epoch: 33 [25088/47500]	Loss: 0.3154	LR: 0.004000
Training Epoch: 33 [25344/47500]	Loss: 0.2852	LR: 0.004000
Training Epoch: 33 [25600/47500]	Loss: 0.2954	LR: 0.004000
Training Epoch: 33 [25856/47500]	Loss: 0.3821	LR: 0.004000
Training Epoch: 33 [26112/47500]	Loss: 0.3586	LR: 0.004000
Training Epoch: 33 [26368/47500]	Loss: 0.3380	LR: 0.004000
Training Epoch: 33 [26624/47500]	Loss: 0.3682	LR: 0.004000
Training Epoch: 33 [26880/47500]	Loss: 0.3499	LR: 0.004000
Training Epoch: 33 [27136/47500]	Loss: 0.3554	LR: 0.004000
Training Epoch: 33 [27392/47500]	Loss: 0.4575	LR: 0.004000
Training Epoch: 33 [27648/47500]	Loss: 0.2897	LR: 0.004000
Training Epoch: 33 [27904/47500]	Loss: 0.3322	LR: 0.004000
Training Epoch: 33 [28160/47500]	Loss: 0.3981	LR: 0.004000
Training Epoch: 33 [28416/47500]	Loss: 0.2985	LR: 0.004000
Training Epoch: 33 [28672/47500]	Loss: 0.3735	LR: 0.004000
Training Epoch: 33 [28928/47500]	Loss: 0.3351	LR: 0.004000
Training Epoch: 33 [29184/47500]	Loss: 0.2918	LR: 0.004000
Training Epoch: 33 [29440/47500]	Loss: 0.3599	LR: 0.004000
Training Epoch: 33 [29696/47500]	Loss: 0.4105	LR: 0.004000
Training Epoch: 33 [29952/47500]	Loss: 0.4834	LR: 0.004000
Training Epoch: 33 [30208/47500]	Loss: 0.3452	LR: 0.004000
Training Epoch: 33 [30464/47500]	Loss: 0.3464	LR: 0.004000
Training Epoch: 33 [30720/47500]	Loss: 0.2977	LR: 0.004000
Training Epoch: 33 [30976/47500]	Loss: 0.3154	LR: 0.004000
Training Epoch: 33 [31232/47500]	Loss: 0.2983	LR: 0.004000
Training Epoch: 33 [31488/47500]	Loss: 0.3404	LR: 0.004000
Training Epoch: 33 [31744/47500]	Loss: 0.3533	LR: 0.004000
Training Epoch: 33 [32000/47500]	Loss: 0.3112	LR: 0.004000
Training Epoch: 33 [32256/47500]	Loss: 0.3385	LR: 0.004000
Training Epoch: 33 [32512/47500]	Loss: 0.3119	LR: 0.004000
Training Epoch: 33 [32768/47500]	Loss: 0.3277	LR: 0.004000
Training Epoch: 33 [33024/47500]	Loss: 0.3595	LR: 0.004000
Training Epoch: 33 [33280/47500]	Loss: 0.3347	LR: 0.004000
Training Epoch: 33 [33536/47500]	Loss: 0.3410	LR: 0.004000
Training Epoch: 33 [33792/47500]	Loss: 0.3158	LR: 0.004000
Training Epoch: 33 [34048/47500]	Loss: 0.3677	LR: 0.004000
Training Epoch: 33 [34304/47500]	Loss: 0.3813	LR: 0.004000
Training Epoch: 33 [34560/47500]	Loss: 0.2825	LR: 0.004000
Training Epoch: 33 [34816/47500]	Loss: 0.3321	LR: 0.004000
Training Epoch: 33 [35072/47500]	Loss: 0.3838	LR: 0.004000
Training Epoch: 33 [35328/47500]	Loss: 0.3167	LR: 0.004000
Training Epoch: 33 [35584/47500]	Loss: 0.3205	LR: 0.004000
Training Epoch: 33 [35840/47500]	Loss: 0.4206	LR: 0.004000
Training Epoch: 33 [36096/47500]	Loss: 0.3776	LR: 0.004000
Training Epoch: 33 [36352/47500]	Loss: 0.3265	LR: 0.004000
Training Epoch: 33 [36608/47500]	Loss: 0.2955	LR: 0.004000
Training Epoch: 33 [36864/47500]	Loss: 0.3656	LR: 0.004000
Training Epoch: 33 [37120/47500]	Loss: 0.3132	LR: 0.004000
Training Epoch: 33 [37376/47500]	Loss: 0.3333	LR: 0.004000
Training Epoch: 33 [37632/47500]	Loss: 0.2986	LR: 0.004000
Training Epoch: 33 [37888/47500]	Loss: 0.3419	LR: 0.004000
Training Epoch: 33 [38144/47500]	Loss: 0.3206	LR: 0.004000
Training Epoch: 33 [38400/47500]	Loss: 0.3976	LR: 0.004000
Training Epoch: 33 [38656/47500]	Loss: 0.4405	LR: 0.004000
Training Epoch: 33 [38912/47500]	Loss: 0.2526	LR: 0.004000
Training Epoch: 33 [39168/47500]	Loss: 0.3229	LR: 0.004000
Training Epoch: 33 [39424/47500]	Loss: 0.2889	LR: 0.004000
Training Epoch: 33 [39680/47500]	Loss: 0.3207	LR: 0.004000
Training Epoch: 33 [39936/47500]	Loss: 0.4552	LR: 0.004000
Training Epoch: 33 [40192/47500]	Loss: 0.3830	LR: 0.004000
Training Epoch: 33 [40448/47500]	Loss: 0.2962	LR: 0.004000
Training Epoch: 33 [40704/47500]	Loss: 0.3278	LR: 0.004000
Training Epoch: 33 [40960/47500]	Loss: 0.2675	LR: 0.004000
Training Epoch: 33 [41216/47500]	Loss: 0.3376	LR: 0.004000
Training Epoch: 33 [41472/47500]	Loss: 0.2711	LR: 0.004000
Training Epoch: 33 [41728/47500]	Loss: 0.3138	LR: 0.004000
Training Epoch: 33 [41984/47500]	Loss: 0.2964	LR: 0.004000
Training Epoch: 33 [42240/47500]	Loss: 0.3824	LR: 0.004000
Training Epoch: 33 [42496/47500]	Loss: 0.3001	LR: 0.004000
Training Epoch: 33 [42752/47500]	Loss: 0.3582	LR: 0.004000
Training Epoch: 33 [43008/47500]	Loss: 0.2753	LR: 0.004000
Training Epoch: 33 [43264/47500]	Loss: 0.4073	LR: 0.004000
Training Epoch: 33 [43520/47500]	Loss: 0.2702	LR: 0.004000
Training Epoch: 33 [43776/47500]	Loss: 0.2996	LR: 0.004000
Training Epoch: 33 [44032/47500]	Loss: 0.3443	LR: 0.004000
Training Epoch: 33 [44288/47500]	Loss: 0.3937	LR: 0.004000
Training Epoch: 33 [44544/47500]	Loss: 0.2744	LR: 0.004000
Training Epoch: 33 [44800/47500]	Loss: 0.3514	LR: 0.004000
Training Epoch: 33 [45056/47500]	Loss: 0.2976	LR: 0.004000
Training Epoch: 33 [45312/47500]	Loss: 0.4185	LR: 0.004000
Training Epoch: 33 [45568/47500]	Loss: 0.4976	LR: 0.004000
Training Epoch: 33 [45824/47500]	Loss: 0.3172	LR: 0.004000
Training Epoch: 33 [46080/47500]	Loss: 0.3094	LR: 0.004000
Training Epoch: 33 [46336/47500]	Loss: 0.3769	LR: 0.004000
Training Epoch: 33 [46592/47500]	Loss: 0.3655	LR: 0.004000
Training Epoch: 33 [46848/47500]	Loss: 0.3763	LR: 0.004000
Training Epoch: 33 [47104/47500]	Loss: 0.3204	LR: 0.004000
Training Epoch: 33 [47360/47500]	Loss: 0.2530	LR: 0.004000
Training Epoch: 33 [47500/47500]	Loss: 0.3747	LR: 0.004000
Epoch 33 - Average Train Loss: 0.3374, Train Accuracy: 0.8956
Epoch 33 training time consumed: 25.77s
Evaluating Network.....
Test set: Epoch: 33, Average loss: 0.0029, Accuracy: 0.7808, Time consumed:0.93s
Training Epoch: 34 [256/47500]	Loss: 0.2675	LR: 0.004000
Training Epoch: 34 [512/47500]	Loss: 0.3484	LR: 0.004000
Training Epoch: 34 [768/47500]	Loss: 0.3978	LR: 0.004000
Training Epoch: 34 [1024/47500]	Loss: 0.3340	LR: 0.004000
Training Epoch: 34 [1280/47500]	Loss: 0.2957	LR: 0.004000
Training Epoch: 34 [1536/47500]	Loss: 0.3395	LR: 0.004000
Training Epoch: 34 [1792/47500]	Loss: 0.3154	LR: 0.004000
Training Epoch: 34 [2048/47500]	Loss: 0.3888	LR: 0.004000
Training Epoch: 34 [2304/47500]	Loss: 0.2965	LR: 0.004000
Training Epoch: 34 [2560/47500]	Loss: 0.3203	LR: 0.004000
Training Epoch: 34 [2816/47500]	Loss: 0.2611	LR: 0.004000
Training Epoch: 34 [3072/47500]	Loss: 0.3463	LR: 0.004000
Training Epoch: 34 [3328/47500]	Loss: 0.3453	LR: 0.004000
Training Epoch: 34 [3584/47500]	Loss: 0.3390	LR: 0.004000
Training Epoch: 34 [3840/47500]	Loss: 0.2958	LR: 0.004000
Training Epoch: 34 [4096/47500]	Loss: 0.3518	LR: 0.004000
Training Epoch: 34 [4352/47500]	Loss: 0.3999	LR: 0.004000
Training Epoch: 34 [4608/47500]	Loss: 0.3544	LR: 0.004000
Training Epoch: 34 [4864/47500]	Loss: 0.2727	LR: 0.004000
Training Epoch: 34 [5120/47500]	Loss: 0.4115	LR: 0.004000
Training Epoch: 34 [5376/47500]	Loss: 0.3689	LR: 0.004000
Training Epoch: 34 [5632/47500]	Loss: 0.3033	LR: 0.004000
Training Epoch: 34 [5888/47500]	Loss: 0.3642	LR: 0.004000
Training Epoch: 34 [6144/47500]	Loss: 0.3119	LR: 0.004000
Training Epoch: 34 [6400/47500]	Loss: 0.3619	LR: 0.004000
Training Epoch: 34 [6656/47500]	Loss: 0.3403	LR: 0.004000
Training Epoch: 34 [6912/47500]	Loss: 0.3907	LR: 0.004000
Training Epoch: 34 [7168/47500]	Loss: 0.2733	LR: 0.004000
Training Epoch: 34 [7424/47500]	Loss: 0.3489	LR: 0.004000
Training Epoch: 34 [7680/47500]	Loss: 0.3443	LR: 0.004000
Training Epoch: 34 [7936/47500]	Loss: 0.4067	LR: 0.004000
Training Epoch: 34 [8192/47500]	Loss: 0.2963	LR: 0.004000
Training Epoch: 34 [8448/47500]	Loss: 0.3302	LR: 0.004000
Training Epoch: 34 [8704/47500]	Loss: 0.3279	LR: 0.004000
Training Epoch: 34 [8960/47500]	Loss: 0.3319	LR: 0.004000
Training Epoch: 34 [9216/47500]	Loss: 0.3403	LR: 0.004000
Training Epoch: 34 [9472/47500]	Loss: 0.3515	LR: 0.004000
Training Epoch: 34 [9728/47500]	Loss: 0.3374	LR: 0.004000
Training Epoch: 34 [9984/47500]	Loss: 0.4122	LR: 0.004000
Training Epoch: 34 [10240/47500]	Loss: 0.3330	LR: 0.004000
Training Epoch: 34 [10496/47500]	Loss: 0.3552	LR: 0.004000
Training Epoch: 34 [10752/47500]	Loss: 0.3337	LR: 0.004000
Training Epoch: 34 [11008/47500]	Loss: 0.3748	LR: 0.004000
Training Epoch: 34 [11264/47500]	Loss: 0.2773	LR: 0.004000
Training Epoch: 34 [11520/47500]	Loss: 0.3024	LR: 0.004000
Training Epoch: 34 [11776/47500]	Loss: 0.3131	LR: 0.004000
Training Epoch: 34 [12032/47500]	Loss: 0.3503	LR: 0.004000
Training Epoch: 34 [12288/47500]	Loss: 0.4070	LR: 0.004000
Training Epoch: 34 [12544/47500]	Loss: 0.3594	LR: 0.004000
Training Epoch: 34 [12800/47500]	Loss: 0.3171	LR: 0.004000
Training Epoch: 34 [13056/47500]	Loss: 0.2600	LR: 0.004000
Training Epoch: 34 [13312/47500]	Loss: 0.3314	LR: 0.004000
Training Epoch: 34 [13568/47500]	Loss: 0.2760	LR: 0.004000
Training Epoch: 34 [13824/47500]	Loss: 0.2753	LR: 0.004000
Training Epoch: 34 [14080/47500]	Loss: 0.2885	LR: 0.004000
Training Epoch: 34 [14336/47500]	Loss: 0.3367	LR: 0.004000
Training Epoch: 34 [14592/47500]	Loss: 0.3417	LR: 0.004000
Training Epoch: 34 [14848/47500]	Loss: 0.3048	LR: 0.004000
Training Epoch: 34 [15104/47500]	Loss: 0.3222	LR: 0.004000
Training Epoch: 34 [15360/47500]	Loss: 0.2848	LR: 0.004000
Training Epoch: 34 [15616/47500]	Loss: 0.3584	LR: 0.004000
Training Epoch: 34 [15872/47500]	Loss: 0.3223	LR: 0.004000
Training Epoch: 34 [16128/47500]	Loss: 0.3118	LR: 0.004000
Training Epoch: 34 [16384/47500]	Loss: 0.3403	LR: 0.004000
Training Epoch: 34 [16640/47500]	Loss: 0.3119	LR: 0.004000
Training Epoch: 34 [16896/47500]	Loss: 0.2543	LR: 0.004000
Training Epoch: 34 [17152/47500]	Loss: 0.2910	LR: 0.004000
Training Epoch: 34 [17408/47500]	Loss: 0.4427	LR: 0.004000
Training Epoch: 34 [17664/47500]	Loss: 0.4016	LR: 0.004000
Training Epoch: 34 [17920/47500]	Loss: 0.3425	LR: 0.004000
Training Epoch: 34 [18176/47500]	Loss: 0.3271	LR: 0.004000
Training Epoch: 34 [18432/47500]	Loss: 0.2501	LR: 0.004000
Training Epoch: 34 [18688/47500]	Loss: 0.3087	LR: 0.004000
Training Epoch: 34 [18944/47500]	Loss: 0.3418	LR: 0.004000
Training Epoch: 34 [19200/47500]	Loss: 0.3748	LR: 0.004000
Training Epoch: 34 [19456/47500]	Loss: 0.2852	LR: 0.004000
Training Epoch: 34 [19712/47500]	Loss: 0.3579	LR: 0.004000
Training Epoch: 34 [19968/47500]	Loss: 0.3710	LR: 0.004000
Training Epoch: 34 [20224/47500]	Loss: 0.2961	LR: 0.004000
Training Epoch: 34 [20480/47500]	Loss: 0.3632	LR: 0.004000
Training Epoch: 34 [20736/47500]	Loss: 0.3298	LR: 0.004000
Training Epoch: 34 [20992/47500]	Loss: 0.3219	LR: 0.004000
Training Epoch: 34 [21248/47500]	Loss: 0.4272	LR: 0.004000
Training Epoch: 34 [21504/47500]	Loss: 0.4335	LR: 0.004000
Training Epoch: 34 [21760/47500]	Loss: 0.3530	LR: 0.004000
Training Epoch: 34 [22016/47500]	Loss: 0.3351	LR: 0.004000
Training Epoch: 34 [22272/47500]	Loss: 0.3015	LR: 0.004000
Training Epoch: 34 [22528/47500]	Loss: 0.3333	LR: 0.004000
Training Epoch: 34 [22784/47500]	Loss: 0.3712	LR: 0.004000
Training Epoch: 34 [23040/47500]	Loss: 0.2981	LR: 0.004000
Training Epoch: 34 [23296/47500]	Loss: 0.2487	LR: 0.004000
Training Epoch: 34 [23552/47500]	Loss: 0.3347	LR: 0.004000
Training Epoch: 34 [23808/47500]	Loss: 0.2953	LR: 0.004000
Training Epoch: 34 [24064/47500]	Loss: 0.2810	LR: 0.004000
Training Epoch: 34 [24320/47500]	Loss: 0.3372	LR: 0.004000
Training Epoch: 34 [24576/47500]	Loss: 0.3406	LR: 0.004000
Training Epoch: 34 [24832/47500]	Loss: 0.3318	LR: 0.004000
Training Epoch: 34 [25088/47500]	Loss: 0.2930	LR: 0.004000
Training Epoch: 34 [25344/47500]	Loss: 0.3071	LR: 0.004000
Training Epoch: 34 [25600/47500]	Loss: 0.3671	LR: 0.004000
Training Epoch: 34 [25856/47500]	Loss: 0.3715	LR: 0.004000
Training Epoch: 34 [26112/47500]	Loss: 0.3333	LR: 0.004000
Training Epoch: 34 [26368/47500]	Loss: 0.3046	LR: 0.004000
Training Epoch: 34 [26624/47500]	Loss: 0.3648	LR: 0.004000
Training Epoch: 34 [26880/47500]	Loss: 0.3672	LR: 0.004000
Training Epoch: 34 [27136/47500]	Loss: 0.3154	LR: 0.004000
Training Epoch: 34 [27392/47500]	Loss: 0.3169	LR: 0.004000
Training Epoch: 34 [27648/47500]	Loss: 0.3064	LR: 0.004000
Training Epoch: 34 [27904/47500]	Loss: 0.3264	LR: 0.004000
Training Epoch: 34 [28160/47500]	Loss: 0.3307	LR: 0.004000
Training Epoch: 34 [28416/47500]	Loss: 0.3089	LR: 0.004000
Training Epoch: 34 [28672/47500]	Loss: 0.3056	LR: 0.004000
Training Epoch: 34 [28928/47500]	Loss: 0.3439	LR: 0.004000
Training Epoch: 34 [29184/47500]	Loss: 0.3045	LR: 0.004000
Training Epoch: 34 [29440/47500]	Loss: 0.3649	LR: 0.004000
Training Epoch: 34 [29696/47500]	Loss: 0.2971	LR: 0.004000
Training Epoch: 34 [29952/47500]	Loss: 0.3246	LR: 0.004000
Training Epoch: 34 [30208/47500]	Loss: 0.4062	LR: 0.004000
Training Epoch: 34 [30464/47500]	Loss: 0.3450	LR: 0.004000
Training Epoch: 34 [30720/47500]	Loss: 0.3181	LR: 0.004000
Training Epoch: 34 [30976/47500]	Loss: 0.3247	LR: 0.004000
Training Epoch: 34 [31232/47500]	Loss: 0.3566	LR: 0.004000
Training Epoch: 34 [31488/47500]	Loss: 0.3123	LR: 0.004000
Training Epoch: 34 [31744/47500]	Loss: 0.3010	LR: 0.004000
Training Epoch: 34 [32000/47500]	Loss: 0.3233	LR: 0.004000
Training Epoch: 34 [32256/47500]	Loss: 0.3278	LR: 0.004000
Training Epoch: 34 [32512/47500]	Loss: 0.3941	LR: 0.004000
Training Epoch: 34 [32768/47500]	Loss: 0.3629	LR: 0.004000
Training Epoch: 34 [33024/47500]	Loss: 0.3117	LR: 0.004000
Training Epoch: 34 [33280/47500]	Loss: 0.2919	LR: 0.004000
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Training Epoch: 34 [43264/47500]	Loss: 0.2911	LR: 0.004000
Training Epoch: 34 [43520/47500]	Loss: 0.2713	LR: 0.004000
Training Epoch: 34 [43776/47500]	Loss: 0.3367	LR: 0.004000
Training Epoch: 34 [44032/47500]	Loss: 0.2728	LR: 0.004000
Training Epoch: 34 [44288/47500]	Loss: 0.3153	LR: 0.004000
Training Epoch: 34 [44544/47500]	Loss: 0.2947	LR: 0.004000
Training Epoch: 34 [44800/47500]	Loss: 0.3289	LR: 0.004000
Training Epoch: 34 [45056/47500]	Loss: 0.3417	LR: 0.004000
Training Epoch: 34 [45312/47500]	Loss: 0.2946	LR: 0.004000
Training Epoch: 34 [45568/47500]	Loss: 0.2987	LR: 0.004000
Training Epoch: 34 [45824/47500]	Loss: 0.3719	LR: 0.004000
Training Epoch: 34 [46080/47500]	Loss: 0.3087	LR: 0.004000
Training Epoch: 34 [46336/47500]	Loss: 0.3128	LR: 0.004000
Training Epoch: 34 [46592/47500]	Loss: 0.3784	LR: 0.004000
Training Epoch: 34 [46848/47500]	Loss: 0.2871	LR: 0.004000
Training Epoch: 34 [47104/47500]	Loss: 0.3575	LR: 0.004000
Training Epoch: 34 [47360/47500]	Loss: 0.3269	LR: 0.004000
Training Epoch: 34 [47500/47500]	Loss: 0.3574	LR: 0.004000
Epoch 34 - Average Train Loss: 0.3321, Train Accuracy: 0.8987
Epoch 34 training time consumed: 25.77s
Evaluating Network.....
Test set: Epoch: 34, Average loss: 0.0030, Accuracy: 0.7768, Time consumed:0.88s
Training Epoch: 35 [256/47500]	Loss: 0.2885	LR: 0.000800
Training Epoch: 35 [512/47500]	Loss: 0.3260	LR: 0.000800
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Training Epoch: 35 [1280/47500]	Loss: 0.2944	LR: 0.000800
Training Epoch: 35 [1536/47500]	Loss: 0.2628	LR: 0.000800
Training Epoch: 35 [1792/47500]	Loss: 0.2816	LR: 0.000800
Training Epoch: 35 [2048/47500]	Loss: 0.2451	LR: 0.000800
Training Epoch: 35 [2304/47500]	Loss: 0.3303	LR: 0.000800
Training Epoch: 35 [2560/47500]	Loss: 0.3095	LR: 0.000800
Training Epoch: 35 [2816/47500]	Loss: 0.3396	LR: 0.000800
Training Epoch: 35 [3072/47500]	Loss: 0.2789	LR: 0.000800
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Training Epoch: 35 [3840/47500]	Loss: 0.3289	LR: 0.000800
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Training Epoch: 35 [4608/47500]	Loss: 0.3259	LR: 0.000800
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Training Epoch: 35 [5120/47500]	Loss: 0.3171	LR: 0.000800
Training Epoch: 35 [5376/47500]	Loss: 0.2466	LR: 0.000800
Training Epoch: 35 [5632/47500]	Loss: 0.2809	LR: 0.000800
Training Epoch: 35 [5888/47500]	Loss: 0.2509	LR: 0.000800
Training Epoch: 35 [6144/47500]	Loss: 0.3127	LR: 0.000800
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Training Epoch: 35 [8448/47500]	Loss: 0.3853	LR: 0.000800
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Training Epoch: 35 [9984/47500]	Loss: 0.2909	LR: 0.000800
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Training Epoch: 35 [11776/47500]	Loss: 0.2705	LR: 0.000800
Training Epoch: 35 [12032/47500]	Loss: 0.3018	LR: 0.000800
Training Epoch: 35 [12288/47500]	Loss: 0.2692	LR: 0.000800
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Training Epoch: 35 [44032/47500]	Loss: 0.2981	LR: 0.000800
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Training Epoch: 35 [44800/47500]	Loss: 0.3478	LR: 0.000800
Training Epoch: 35 [45056/47500]	Loss: 0.4161	LR: 0.000800
Training Epoch: 35 [45312/47500]	Loss: 0.2748	LR: 0.000800
Training Epoch: 35 [45568/47500]	Loss: 0.2989	LR: 0.000800
Training Epoch: 35 [45824/47500]	Loss: 0.3694	LR: 0.000800
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Training Epoch: 35 [46336/47500]	Loss: 0.2725	LR: 0.000800
Training Epoch: 35 [46592/47500]	Loss: 0.2674	LR: 0.000800
Training Epoch: 35 [46848/47500]	Loss: 0.3346	LR: 0.000800
Training Epoch: 35 [47104/47500]	Loss: 0.3196	LR: 0.000800
Training Epoch: 35 [47360/47500]	Loss: 0.3180	LR: 0.000800
Training Epoch: 35 [47500/47500]	Loss: 0.2947	LR: 0.000800
Epoch 35 - Average Train Loss: 0.3075, Train Accuracy: 0.9081
Epoch 35 training time consumed: 25.86s
Evaluating Network.....
Test set: Epoch: 35, Average loss: 0.0029, Accuracy: 0.7864, Time consumed:0.86s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_22h_43m_16s/AllCNN-Cifar20-seed7-ret50-35-best.pth
Training Epoch: 36 [256/47500]	Loss: 0.3543	LR: 0.000800
Training Epoch: 36 [512/47500]	Loss: 0.3041	LR: 0.000800
Training Epoch: 36 [768/47500]	Loss: 0.2905	LR: 0.000800
Training Epoch: 36 [1024/47500]	Loss: 0.3340	LR: 0.000800
Training Epoch: 36 [1280/47500]	Loss: 0.2906	LR: 0.000800
Training Epoch: 36 [1536/47500]	Loss: 0.2739	LR: 0.000800
Training Epoch: 36 [1792/47500]	Loss: 0.3433	LR: 0.000800
Training Epoch: 36 [2048/47500]	Loss: 0.2600	LR: 0.000800
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Training Epoch: 36 [9984/47500]	Loss: 0.3044	LR: 0.000800
Training Epoch: 36 [10240/47500]	Loss: 0.2792	LR: 0.000800
Training Epoch: 36 [10496/47500]	Loss: 0.2662	LR: 0.000800
Training Epoch: 36 [10752/47500]	Loss: 0.3639	LR: 0.000800
Training Epoch: 36 [11008/47500]	Loss: 0.3330	LR: 0.000800
Training Epoch: 36 [11264/47500]	Loss: 0.2902	LR: 0.000800
Training Epoch: 36 [11520/47500]	Loss: 0.2915	LR: 0.000800
Training Epoch: 36 [11776/47500]	Loss: 0.3603	LR: 0.000800
Training Epoch: 36 [12032/47500]	Loss: 0.2721	LR: 0.000800
Training Epoch: 36 [12288/47500]	Loss: 0.2778	LR: 0.000800
Training Epoch: 36 [12544/47500]	Loss: 0.3553	LR: 0.000800
Training Epoch: 36 [12800/47500]	Loss: 0.2807	LR: 0.000800
Training Epoch: 36 [13056/47500]	Loss: 0.2299	LR: 0.000800
Training Epoch: 36 [13312/47500]	Loss: 0.2868	LR: 0.000800
Training Epoch: 36 [13568/47500]	Loss: 0.3412	LR: 0.000800
Training Epoch: 36 [13824/47500]	Loss: 0.2719	LR: 0.000800
Training Epoch: 36 [14080/47500]	Loss: 0.2821	LR: 0.000800
Training Epoch: 36 [14336/47500]	Loss: 0.2005	LR: 0.000800
Training Epoch: 36 [14592/47500]	Loss: 0.3297	LR: 0.000800
Training Epoch: 36 [14848/47500]	Loss: 0.4289	LR: 0.000800
Training Epoch: 36 [15104/47500]	Loss: 0.2750	LR: 0.000800
Training Epoch: 36 [15360/47500]	Loss: 0.2715	LR: 0.000800
Training Epoch: 36 [15616/47500]	Loss: 0.2034	LR: 0.000800
Training Epoch: 36 [15872/47500]	Loss: 0.3335	LR: 0.000800
Training Epoch: 36 [16128/47500]	Loss: 0.2483	LR: 0.000800
Training Epoch: 36 [16384/47500]	Loss: 0.3399	LR: 0.000800
Training Epoch: 36 [16640/47500]	Loss: 0.2774	LR: 0.000800
Training Epoch: 36 [16896/47500]	Loss: 0.2612	LR: 0.000800
Training Epoch: 36 [17152/47500]	Loss: 0.3302	LR: 0.000800
Training Epoch: 36 [17408/47500]	Loss: 0.2394	LR: 0.000800
Training Epoch: 36 [17664/47500]	Loss: 0.2845	LR: 0.000800
Training Epoch: 36 [17920/47500]	Loss: 0.2683	LR: 0.000800
Training Epoch: 36 [18176/47500]	Loss: 0.2365	LR: 0.000800
Training Epoch: 36 [18432/47500]	Loss: 0.2964	LR: 0.000800
Training Epoch: 36 [18688/47500]	Loss: 0.2433	LR: 0.000800
Training Epoch: 36 [18944/47500]	Loss: 0.3420	LR: 0.000800
Training Epoch: 36 [19200/47500]	Loss: 0.2828	LR: 0.000800
Training Epoch: 36 [19456/47500]	Loss: 0.2699	LR: 0.000800
Training Epoch: 36 [19712/47500]	Loss: 0.3281	LR: 0.000800
Training Epoch: 36 [19968/47500]	Loss: 0.2634	LR: 0.000800
Training Epoch: 36 [20224/47500]	Loss: 0.2866	LR: 0.000800
Training Epoch: 36 [20480/47500]	Loss: 0.2928	LR: 0.000800
Training Epoch: 36 [20736/47500]	Loss: 0.2797	LR: 0.000800
Training Epoch: 36 [20992/47500]	Loss: 0.3193	LR: 0.000800
Training Epoch: 36 [21248/47500]	Loss: 0.3105	LR: 0.000800
Training Epoch: 36 [21504/47500]	Loss: 0.3042	LR: 0.000800
Training Epoch: 36 [21760/47500]	Loss: 0.4157	LR: 0.000800
Training Epoch: 36 [22016/47500]	Loss: 0.2763	LR: 0.000800
Training Epoch: 36 [22272/47500]	Loss: 0.2959	LR: 0.000800
Training Epoch: 36 [22528/47500]	Loss: 0.3428	LR: 0.000800
Training Epoch: 36 [22784/47500]	Loss: 0.3157	LR: 0.000800
Training Epoch: 36 [23040/47500]	Loss: 0.2380	LR: 0.000800
Training Epoch: 36 [23296/47500]	Loss: 0.3748	LR: 0.000800
Training Epoch: 36 [23552/47500]	Loss: 0.2841	LR: 0.000800
Training Epoch: 36 [23808/47500]	Loss: 0.3717	LR: 0.000800
Training Epoch: 36 [24064/47500]	Loss: 0.2254	LR: 0.000800
Training Epoch: 36 [24320/47500]	Loss: 0.3541	LR: 0.000800
Training Epoch: 36 [24576/47500]	Loss: 0.2828	LR: 0.000800
Training Epoch: 36 [24832/47500]	Loss: 0.3463	LR: 0.000800
Training Epoch: 36 [25088/47500]	Loss: 0.2697	LR: 0.000800
Training Epoch: 36 [25344/47500]	Loss: 0.2663	LR: 0.000800
Training Epoch: 36 [25600/47500]	Loss: 0.2972	LR: 0.000800
Training Epoch: 36 [25856/47500]	Loss: 0.3184	LR: 0.000800
Training Epoch: 36 [26112/47500]	Loss: 0.2388	LR: 0.000800
Training Epoch: 36 [26368/47500]	Loss: 0.2515	LR: 0.000800
Training Epoch: 36 [26624/47500]	Loss: 0.3910	LR: 0.000800
Training Epoch: 36 [26880/47500]	Loss: 0.2937	LR: 0.000800
Training Epoch: 36 [27136/47500]	Loss: 0.3697	LR: 0.000800
Training Epoch: 36 [27392/47500]	Loss: 0.3100	LR: 0.000800
Training Epoch: 36 [27648/47500]	Loss: 0.2869	LR: 0.000800
Training Epoch: 36 [27904/47500]	Loss: 0.3196	LR: 0.000800
Training Epoch: 36 [28160/47500]	Loss: 0.3058	LR: 0.000800
Training Epoch: 36 [28416/47500]	Loss: 0.2654	LR: 0.000800
Training Epoch: 36 [28672/47500]	Loss: 0.3265	LR: 0.000800
Training Epoch: 36 [28928/47500]	Loss: 0.3351	LR: 0.000800
Training Epoch: 36 [29184/47500]	Loss: 0.2218	LR: 0.000800
Training Epoch: 36 [29440/47500]	Loss: 0.2973	LR: 0.000800
Training Epoch: 36 [29696/47500]	Loss: 0.3507	LR: 0.000800
Training Epoch: 36 [29952/47500]	Loss: 0.3003	LR: 0.000800
Training Epoch: 36 [30208/47500]	Loss: 0.2507	LR: 0.000800
Training Epoch: 36 [30464/47500]	Loss: 0.2511	LR: 0.000800
Training Epoch: 36 [30720/47500]	Loss: 0.3217	LR: 0.000800
Training Epoch: 36 [30976/47500]	Loss: 0.2712	LR: 0.000800
Training Epoch: 36 [31232/47500]	Loss: 0.2475	LR: 0.000800
Training Epoch: 36 [31488/47500]	Loss: 0.2978	LR: 0.000800
Training Epoch: 36 [31744/47500]	Loss: 0.3107	LR: 0.000800
Training Epoch: 36 [32000/47500]	Loss: 0.3005	LR: 0.000800
Training Epoch: 36 [32256/47500]	Loss: 0.3206	LR: 0.000800
Training Epoch: 36 [32512/47500]	Loss: 0.3081	LR: 0.000800
Training Epoch: 36 [32768/47500]	Loss: 0.2762	LR: 0.000800
Training Epoch: 36 [33024/47500]	Loss: 0.2954	LR: 0.000800
Training Epoch: 36 [33280/47500]	Loss: 0.2840	LR: 0.000800
Training Epoch: 36 [33536/47500]	Loss: 0.2641	LR: 0.000800
Training Epoch: 36 [33792/47500]	Loss: 0.2698	LR: 0.000800
Training Epoch: 36 [34048/47500]	Loss: 0.3330	LR: 0.000800
Training Epoch: 36 [34304/47500]	Loss: 0.2972	LR: 0.000800
Training Epoch: 36 [34560/47500]	Loss: 0.2835	LR: 0.000800
Training Epoch: 36 [34816/47500]	Loss: 0.3534	LR: 0.000800
Training Epoch: 36 [35072/47500]	Loss: 0.2790	LR: 0.000800
Training Epoch: 36 [35328/47500]	Loss: 0.2835	LR: 0.000800
Training Epoch: 36 [35584/47500]	Loss: 0.3229	LR: 0.000800
Training Epoch: 36 [35840/47500]	Loss: 0.2686	LR: 0.000800
Training Epoch: 36 [36096/47500]	Loss: 0.3009	LR: 0.000800
Training Epoch: 36 [36352/47500]	Loss: 0.3430	LR: 0.000800
Training Epoch: 36 [36608/47500]	Loss: 0.2244	LR: 0.000800
Training Epoch: 36 [36864/47500]	Loss: 0.2795	LR: 0.000800
Training Epoch: 36 [37120/47500]	Loss: 0.2897	LR: 0.000800
Training Epoch: 36 [37376/47500]	Loss: 0.2749	LR: 0.000800
Training Epoch: 36 [37632/47500]	Loss: 0.3037	LR: 0.000800
Training Epoch: 36 [37888/47500]	Loss: 0.2695	LR: 0.000800
Training Epoch: 36 [38144/47500]	Loss: 0.2925	LR: 0.000800
Training Epoch: 36 [38400/47500]	Loss: 0.3602	LR: 0.000800
Training Epoch: 36 [38656/47500]	Loss: 0.2699	LR: 0.000800
Training Epoch: 36 [38912/47500]	Loss: 0.2998	LR: 0.000800
Training Epoch: 36 [39168/47500]	Loss: 0.2673	LR: 0.000800
Training Epoch: 36 [39424/47500]	Loss: 0.3018	LR: 0.000800
Training Epoch: 36 [39680/47500]	Loss: 0.2703	LR: 0.000800
Training Epoch: 36 [39936/47500]	Loss: 0.2923	LR: 0.000800
Training Epoch: 36 [40192/47500]	Loss: 0.2784	LR: 0.000800
Training Epoch: 36 [40448/47500]	Loss: 0.3335	LR: 0.000800
Training Epoch: 36 [40704/47500]	Loss: 0.2712	LR: 0.000800
Training Epoch: 36 [40960/47500]	Loss: 0.3135	LR: 0.000800
Training Epoch: 36 [41216/47500]	Loss: 0.3327	LR: 0.000800
Training Epoch: 36 [41472/47500]	Loss: 0.2846	LR: 0.000800
Training Epoch: 36 [41728/47500]	Loss: 0.2825	LR: 0.000800
Training Epoch: 36 [41984/47500]	Loss: 0.2484	LR: 0.000800
Training Epoch: 36 [42240/47500]	Loss: 0.3977	LR: 0.000800
Training Epoch: 36 [42496/47500]	Loss: 0.2894	LR: 0.000800
Training Epoch: 36 [42752/47500]	Loss: 0.2432	LR: 0.000800
Training Epoch: 36 [43008/47500]	Loss: 0.3507	LR: 0.000800
Training Epoch: 36 [43264/47500]	Loss: 0.2816	LR: 0.000800
Training Epoch: 36 [43520/47500]	Loss: 0.2880	LR: 0.000800
Training Epoch: 36 [43776/47500]	Loss: 0.2763	LR: 0.000800
Training Epoch: 36 [44032/47500]	Loss: 0.3023	LR: 0.000800
Training Epoch: 36 [44288/47500]	Loss: 0.3251	LR: 0.000800
Training Epoch: 36 [44544/47500]	Loss: 0.2458	LR: 0.000800
Training Epoch: 36 [44800/47500]	Loss: 0.3185	LR: 0.000800
Training Epoch: 36 [45056/47500]	Loss: 0.2353	LR: 0.000800
Training Epoch: 36 [45312/47500]	Loss: 0.3186	LR: 0.000800
Training Epoch: 36 [45568/47500]	Loss: 0.2574	LR: 0.000800
Training Epoch: 36 [45824/47500]	Loss: 0.2782	LR: 0.000800
Training Epoch: 36 [46080/47500]	Loss: 0.2471	LR: 0.000800
Training Epoch: 36 [46336/47500]	Loss: 0.3308	LR: 0.000800
Training Epoch: 36 [46592/47500]	Loss: 0.3031	LR: 0.000800
Training Epoch: 36 [46848/47500]	Loss: 0.2808	LR: 0.000800
Training Epoch: 36 [47104/47500]	Loss: 0.3272	LR: 0.000800
Training Epoch: 36 [47360/47500]	Loss: 0.2856	LR: 0.000800
Training Epoch: 36 [47500/47500]	Loss: 0.2789	LR: 0.000800
Epoch 36 - Average Train Loss: 0.2972, Train Accuracy: 0.9113
Epoch 36 training time consumed: 25.92s
Evaluating Network.....
Test set: Epoch: 36, Average loss: 0.0029, Accuracy: 0.7849, Time consumed:0.97s
Training Epoch: 37 [256/47500]	Loss: 0.2896	LR: 0.000800
Training Epoch: 37 [512/47500]	Loss: 0.2911	LR: 0.000800
Training Epoch: 37 [768/47500]	Loss: 0.3948	LR: 0.000800
Training Epoch: 37 [1024/47500]	Loss: 0.3126	LR: 0.000800
Training Epoch: 37 [1280/47500]	Loss: 0.2523	LR: 0.000800
Training Epoch: 37 [1536/47500]	Loss: 0.2493	LR: 0.000800
Training Epoch: 37 [1792/47500]	Loss: 0.2279	LR: 0.000800
Training Epoch: 37 [2048/47500]	Loss: 0.3058	LR: 0.000800
Training Epoch: 37 [2304/47500]	Loss: 0.2979	LR: 0.000800
Training Epoch: 37 [2560/47500]	Loss: 0.2617	LR: 0.000800
Training Epoch: 37 [2816/47500]	Loss: 0.2294	LR: 0.000800
Training Epoch: 37 [3072/47500]	Loss: 0.2864	LR: 0.000800
Training Epoch: 37 [3328/47500]	Loss: 0.2181	LR: 0.000800
Training Epoch: 37 [3584/47500]	Loss: 0.2516	LR: 0.000800
Training Epoch: 37 [3840/47500]	Loss: 0.2757	LR: 0.000800
Training Epoch: 37 [4096/47500]	Loss: 0.2612	LR: 0.000800
Training Epoch: 37 [4352/47500]	Loss: 0.2197	LR: 0.000800
Training Epoch: 37 [4608/47500]	Loss: 0.2052	LR: 0.000800
Training Epoch: 37 [4864/47500]	Loss: 0.3776	LR: 0.000800
Training Epoch: 37 [5120/47500]	Loss: 0.2652	LR: 0.000800
Training Epoch: 37 [5376/47500]	Loss: 0.2415	LR: 0.000800
Training Epoch: 37 [5632/47500]	Loss: 0.2654	LR: 0.000800
Training Epoch: 37 [5888/47500]	Loss: 0.2930	LR: 0.000800
Training Epoch: 37 [6144/47500]	Loss: 0.2627	LR: 0.000800
Training Epoch: 37 [6400/47500]	Loss: 0.3246	LR: 0.000800
Training Epoch: 37 [6656/47500]	Loss: 0.2564	LR: 0.000800
Training Epoch: 37 [6912/47500]	Loss: 0.3570	LR: 0.000800
Training Epoch: 37 [7168/47500]	Loss: 0.2760	LR: 0.000800
Training Epoch: 37 [7424/47500]	Loss: 0.3572	LR: 0.000800
Training Epoch: 37 [7680/47500]	Loss: 0.3062	LR: 0.000800
Training Epoch: 37 [7936/47500]	Loss: 0.3372	LR: 0.000800
Training Epoch: 37 [8192/47500]	Loss: 0.3277	LR: 0.000800
Training Epoch: 37 [8448/47500]	Loss: 0.2991	LR: 0.000800
Training Epoch: 37 [8704/47500]	Loss: 0.3130	LR: 0.000800
Training Epoch: 37 [8960/47500]	Loss: 0.2756	LR: 0.000800
Training Epoch: 37 [9216/47500]	Loss: 0.3303	LR: 0.000800
Training Epoch: 37 [9472/47500]	Loss: 0.2931	LR: 0.000800
Training Epoch: 37 [9728/47500]	Loss: 0.2716	LR: 0.000800
Training Epoch: 37 [9984/47500]	Loss: 0.3487	LR: 0.000800
Training Epoch: 37 [10240/47500]	Loss: 0.2215	LR: 0.000800
Training Epoch: 37 [10496/47500]	Loss: 0.3058	LR: 0.000800
Training Epoch: 37 [10752/47500]	Loss: 0.3124	LR: 0.000800
Training Epoch: 37 [11008/47500]	Loss: 0.2874	LR: 0.000800
Training Epoch: 37 [11264/47500]	Loss: 0.3347	LR: 0.000800
Training Epoch: 37 [11520/47500]	Loss: 0.2633	LR: 0.000800
Training Epoch: 37 [11776/47500]	Loss: 0.2648	LR: 0.000800
Training Epoch: 37 [12032/47500]	Loss: 0.2988	LR: 0.000800
Training Epoch: 37 [12288/47500]	Loss: 0.3495	LR: 0.000800
Training Epoch: 37 [12544/47500]	Loss: 0.2444	LR: 0.000800
Training Epoch: 37 [12800/47500]	Loss: 0.3167	LR: 0.000800
Training Epoch: 37 [13056/47500]	Loss: 0.2389	LR: 0.000800
Training Epoch: 37 [13312/47500]	Loss: 0.3196	LR: 0.000800
Training Epoch: 37 [13568/47500]	Loss: 0.2789	LR: 0.000800
Training Epoch: 37 [13824/47500]	Loss: 0.2781	LR: 0.000800
Training Epoch: 37 [14080/47500]	Loss: 0.2867	LR: 0.000800
Training Epoch: 37 [14336/47500]	Loss: 0.2720	LR: 0.000800
Training Epoch: 37 [14592/47500]	Loss: 0.2862	LR: 0.000800
Training Epoch: 37 [14848/47500]	Loss: 0.2739	LR: 0.000800
Training Epoch: 37 [15104/47500]	Loss: 0.2578	LR: 0.000800
Training Epoch: 37 [15360/47500]	Loss: 0.3576	LR: 0.000800
Training Epoch: 37 [15616/47500]	Loss: 0.2595	LR: 0.000800
Training Epoch: 37 [15872/47500]	Loss: 0.3308	LR: 0.000800
Training Epoch: 37 [16128/47500]	Loss: 0.3534	LR: 0.000800
Training Epoch: 37 [16384/47500]	Loss: 0.2823	LR: 0.000800
Training Epoch: 37 [16640/47500]	Loss: 0.3097	LR: 0.000800
Training Epoch: 37 [16896/47500]	Loss: 0.2895	LR: 0.000800
Training Epoch: 37 [17152/47500]	Loss: 0.2400	LR: 0.000800
Training Epoch: 37 [17408/47500]	Loss: 0.3327	LR: 0.000800
Training Epoch: 37 [17664/47500]	Loss: 0.3237	LR: 0.000800
Training Epoch: 37 [17920/47500]	Loss: 0.2788	LR: 0.000800
Training Epoch: 37 [18176/47500]	Loss: 0.2909	LR: 0.000800
Training Epoch: 37 [18432/47500]	Loss: 0.2864	LR: 0.000800
Training Epoch: 37 [18688/47500]	Loss: 0.3092	LR: 0.000800
Training Epoch: 37 [18944/47500]	Loss: 0.2839	LR: 0.000800
Training Epoch: 37 [19200/47500]	Loss: 0.2959	LR: 0.000800
Training Epoch: 37 [19456/47500]	Loss: 0.2154	LR: 0.000800
Training Epoch: 37 [19712/47500]	Loss: 0.3475	LR: 0.000800
Training Epoch: 37 [19968/47500]	Loss: 0.3875	LR: 0.000800
Training Epoch: 37 [20224/47500]	Loss: 0.2792	LR: 0.000800
Training Epoch: 37 [20480/47500]	Loss: 0.2390	LR: 0.000800
Training Epoch: 37 [20736/47500]	Loss: 0.3077	LR: 0.000800
Training Epoch: 37 [20992/47500]	Loss: 0.3148	LR: 0.000800
Training Epoch: 37 [21248/47500]	Loss: 0.3372	LR: 0.000800
Training Epoch: 37 [21504/47500]	Loss: 0.3041	LR: 0.000800
Training Epoch: 37 [21760/47500]	Loss: 0.2940	LR: 0.000800
Training Epoch: 37 [22016/47500]	Loss: 0.3270	LR: 0.000800
Training Epoch: 37 [22272/47500]	Loss: 0.2566	LR: 0.000800
Training Epoch: 37 [22528/47500]	Loss: 0.2864	LR: 0.000800
Training Epoch: 37 [22784/47500]	Loss: 0.3062	LR: 0.000800
Training Epoch: 37 [23040/47500]	Loss: 0.2657	LR: 0.000800
Training Epoch: 37 [23296/47500]	Loss: 0.2564	LR: 0.000800
Training Epoch: 37 [23552/47500]	Loss: 0.2562	LR: 0.000800
Training Epoch: 37 [23808/47500]	Loss: 0.2894	LR: 0.000800
Training Epoch: 37 [24064/47500]	Loss: 0.2942	LR: 0.000800
Training Epoch: 37 [24320/47500]	Loss: 0.2316	LR: 0.000800
Training Epoch: 37 [24576/47500]	Loss: 0.3011	LR: 0.000800
Training Epoch: 37 [24832/47500]	Loss: 0.3856	LR: 0.000800
Training Epoch: 37 [25088/47500]	Loss: 0.2734	LR: 0.000800
Training Epoch: 37 [25344/47500]	Loss: 0.2778	LR: 0.000800
Training Epoch: 37 [25600/47500]	Loss: 0.2426	LR: 0.000800
Training Epoch: 37 [25856/47500]	Loss: 0.2597	LR: 0.000800
Training Epoch: 37 [26112/47500]	Loss: 0.3219	LR: 0.000800
Training Epoch: 37 [26368/47500]	Loss: 0.2863	LR: 0.000800
Training Epoch: 37 [26624/47500]	Loss: 0.3140	LR: 0.000800
Training Epoch: 37 [26880/47500]	Loss: 0.3127	LR: 0.000800
Training Epoch: 37 [27136/47500]	Loss: 0.3438	LR: 0.000800
Training Epoch: 37 [27392/47500]	Loss: 0.3148	LR: 0.000800
Training Epoch: 37 [27648/47500]	Loss: 0.2868	LR: 0.000800
Training Epoch: 37 [27904/47500]	Loss: 0.3137	LR: 0.000800
Training Epoch: 37 [28160/47500]	Loss: 0.3178	LR: 0.000800
Training Epoch: 37 [28416/47500]	Loss: 0.2926	LR: 0.000800
Training Epoch: 37 [28672/47500]	Loss: 0.3557	LR: 0.000800
Training Epoch: 37 [28928/47500]	Loss: 0.2362	LR: 0.000800
Training Epoch: 37 [29184/47500]	Loss: 0.2395	LR: 0.000800
Training Epoch: 37 [29440/47500]	Loss: 0.3865	LR: 0.000800
Training Epoch: 37 [29696/47500]	Loss: 0.2677	LR: 0.000800
Training Epoch: 37 [29952/47500]	Loss: 0.2540	LR: 0.000800
Training Epoch: 37 [30208/47500]	Loss: 0.2188	LR: 0.000800
Training Epoch: 37 [30464/47500]	Loss: 0.2735	LR: 0.000800
Training Epoch: 37 [30720/47500]	Loss: 0.3566	LR: 0.000800
Training Epoch: 37 [30976/47500]	Loss: 0.2367	LR: 0.000800
Training Epoch: 37 [31232/47500]	Loss: 0.3298	LR: 0.000800
Training Epoch: 37 [31488/47500]	Loss: 0.3454	LR: 0.000800
Training Epoch: 37 [31744/47500]	Loss: 0.3283	LR: 0.000800
Training Epoch: 37 [32000/47500]	Loss: 0.3527	LR: 0.000800
Training Epoch: 37 [32256/47500]	Loss: 0.3120	LR: 0.000800
Training Epoch: 37 [32512/47500]	Loss: 0.2530	LR: 0.000800
Training Epoch: 37 [32768/47500]	Loss: 0.2434	LR: 0.000800
Training Epoch: 37 [33024/47500]	Loss: 0.2348	LR: 0.000800
Training Epoch: 37 [33280/47500]	Loss: 0.2930	LR: 0.000800
Training Epoch: 37 [33536/47500]	Loss: 0.3649	LR: 0.000800
Training Epoch: 37 [33792/47500]	Loss: 0.2886	LR: 0.000800
Training Epoch: 37 [34048/47500]	Loss: 0.2518	LR: 0.000800
Training Epoch: 37 [34304/47500]	Loss: 0.2583	LR: 0.000800
Training Epoch: 37 [34560/47500]	Loss: 0.2542	LR: 0.000800
Training Epoch: 37 [34816/47500]	Loss: 0.3090	LR: 0.000800
Training Epoch: 37 [35072/47500]	Loss: 0.2572	LR: 0.000800
Training Epoch: 37 [35328/47500]	Loss: 0.2837	LR: 0.000800
Training Epoch: 37 [35584/47500]	Loss: 0.3108	LR: 0.000800
Training Epoch: 37 [35840/47500]	Loss: 0.2166	LR: 0.000800
Training Epoch: 37 [36096/47500]	Loss: 0.2860	LR: 0.000800
Training Epoch: 37 [36352/47500]	Loss: 0.3310	LR: 0.000800
Training Epoch: 37 [36608/47500]	Loss: 0.2555	LR: 0.000800
Training Epoch: 37 [36864/47500]	Loss: 0.2961	LR: 0.000800
Training Epoch: 37 [37120/47500]	Loss: 0.2373	LR: 0.000800
Training Epoch: 37 [37376/47500]	Loss: 0.3716	LR: 0.000800
Training Epoch: 37 [37632/47500]	Loss: 0.1982	LR: 0.000800
Training Epoch: 37 [37888/47500]	Loss: 0.2446	LR: 0.000800
Training Epoch: 37 [38144/47500]	Loss: 0.2309	LR: 0.000800
Training Epoch: 37 [38400/47500]	Loss: 0.2805	LR: 0.000800
Training Epoch: 37 [38656/47500]	Loss: 0.3673	LR: 0.000800
Training Epoch: 37 [38912/47500]	Loss: 0.2549	LR: 0.000800
Training Epoch: 37 [39168/47500]	Loss: 0.2790	LR: 0.000800
Training Epoch: 37 [39424/47500]	Loss: 0.3634	LR: 0.000800
Training Epoch: 37 [39680/47500]	Loss: 0.3647	LR: 0.000800
Training Epoch: 37 [39936/47500]	Loss: 0.3409	LR: 0.000800
Training Epoch: 37 [40192/47500]	Loss: 0.2651	LR: 0.000800
Training Epoch: 37 [40448/47500]	Loss: 0.3349	LR: 0.000800
Training Epoch: 37 [40704/47500]	Loss: 0.3036	LR: 0.000800
Training Epoch: 37 [40960/47500]	Loss: 0.2839	LR: 0.000800
Training Epoch: 37 [41216/47500]	Loss: 0.2841	LR: 0.000800
Training Epoch: 37 [41472/47500]	Loss: 0.2764	LR: 0.000800
Training Epoch: 37 [41728/47500]	Loss: 0.2646	LR: 0.000800
Training Epoch: 37 [41984/47500]	Loss: 0.2715	LR: 0.000800
Training Epoch: 37 [42240/47500]	Loss: 0.3392	LR: 0.000800
Training Epoch: 37 [42496/47500]	Loss: 0.2668	LR: 0.000800
Training Epoch: 37 [42752/47500]	Loss: 0.2974	LR: 0.000800
Training Epoch: 37 [43008/47500]	Loss: 0.3010	LR: 0.000800
Training Epoch: 37 [43264/47500]	Loss: 0.3230	LR: 0.000800
Training Epoch: 37 [43520/47500]	Loss: 0.2810	LR: 0.000800
Training Epoch: 37 [43776/47500]	Loss: 0.2631	LR: 0.000800
Training Epoch: 37 [44032/47500]	Loss: 0.3233	LR: 0.000800
Training Epoch: 37 [44288/47500]	Loss: 0.3354	LR: 0.000800
Training Epoch: 37 [44544/47500]	Loss: 0.3428	LR: 0.000800
Training Epoch: 37 [44800/47500]	Loss: 0.2826	LR: 0.000800
Training Epoch: 37 [45056/47500]	Loss: 0.2664	LR: 0.000800
Training Epoch: 37 [45312/47500]	Loss: 0.3463	LR: 0.000800
Training Epoch: 37 [45568/47500]	Loss: 0.2718	LR: 0.000800
Training Epoch: 37 [45824/47500]	Loss: 0.3277	LR: 0.000800
Training Epoch: 37 [46080/47500]	Loss: 0.2203	LR: 0.000800
Training Epoch: 37 [46336/47500]	Loss: 0.3408	LR: 0.000800
Training Epoch: 37 [46592/47500]	Loss: 0.2714	LR: 0.000800
Training Epoch: 37 [46848/47500]	Loss: 0.3339	LR: 0.000800
Training Epoch: 37 [47104/47500]	Loss: 0.2603	LR: 0.000800
Training Epoch: 37 [47360/47500]	Loss: 0.2433	LR: 0.000800
Training Epoch: 37 [47500/47500]	Loss: 0.3564	LR: 0.000800
Epoch 37 - Average Train Loss: 0.2916, Train Accuracy: 0.9141
Epoch 37 training time consumed: 26.29s
Evaluating Network.....
Test set: Epoch: 37, Average loss: 0.0029, Accuracy: 0.7863, Time consumed:0.94s
Training Epoch: 38 [256/47500]	Loss: 0.3224	LR: 0.000800
Training Epoch: 38 [512/47500]	Loss: 0.3015	LR: 0.000800
Training Epoch: 38 [768/47500]	Loss: 0.2337	LR: 0.000800
Training Epoch: 38 [1024/47500]	Loss: 0.2875	LR: 0.000800
Training Epoch: 38 [1280/47500]	Loss: 0.2722	LR: 0.000800
Training Epoch: 38 [1536/47500]	Loss: 0.2904	LR: 0.000800
Training Epoch: 38 [1792/47500]	Loss: 0.2891	LR: 0.000800
Training Epoch: 38 [2048/47500]	Loss: 0.3058	LR: 0.000800
Training Epoch: 38 [2304/47500]	Loss: 0.3015	LR: 0.000800
Training Epoch: 38 [2560/47500]	Loss: 0.3579	LR: 0.000800
Training Epoch: 38 [2816/47500]	Loss: 0.2450	LR: 0.000800
Training Epoch: 38 [3072/47500]	Loss: 0.2843	LR: 0.000800
Training Epoch: 38 [3328/47500]	Loss: 0.4163	LR: 0.000800
Training Epoch: 38 [3584/47500]	Loss: 0.2423	LR: 0.000800
Training Epoch: 38 [3840/47500]	Loss: 0.2772	LR: 0.000800
Training Epoch: 38 [4096/47500]	Loss: 0.3025	LR: 0.000800
Training Epoch: 38 [4352/47500]	Loss: 0.2287	LR: 0.000800
Training Epoch: 38 [4608/47500]	Loss: 0.2444	LR: 0.000800
Training Epoch: 38 [4864/47500]	Loss: 0.2537	LR: 0.000800
Training Epoch: 38 [5120/47500]	Loss: 0.2364	LR: 0.000800
Training Epoch: 38 [5376/47500]	Loss: 0.3306	LR: 0.000800
Training Epoch: 38 [5632/47500]	Loss: 0.3458	LR: 0.000800
Training Epoch: 38 [5888/47500]	Loss: 0.2943	LR: 0.000800
Training Epoch: 38 [6144/47500]	Loss: 0.3513	LR: 0.000800
Training Epoch: 38 [6400/47500]	Loss: 0.2280	LR: 0.000800
Training Epoch: 38 [6656/47500]	Loss: 0.2812	LR: 0.000800
Training Epoch: 38 [6912/47500]	Loss: 0.2258	LR: 0.000800
Training Epoch: 38 [7168/47500]	Loss: 0.3308	LR: 0.000800
Training Epoch: 38 [7424/47500]	Loss: 0.3229	LR: 0.000800
Training Epoch: 38 [7680/47500]	Loss: 0.2825	LR: 0.000800
Training Epoch: 38 [7936/47500]	Loss: 0.2303	LR: 0.000800
Training Epoch: 38 [8192/47500]	Loss: 0.2743	LR: 0.000800
Training Epoch: 38 [8448/47500]	Loss: 0.3276	LR: 0.000800
Training Epoch: 38 [8704/47500]	Loss: 0.3417	LR: 0.000800
Training Epoch: 38 [8960/47500]	Loss: 0.3029	LR: 0.000800
Training Epoch: 38 [9216/47500]	Loss: 0.2962	LR: 0.000800
Training Epoch: 38 [9472/47500]	Loss: 0.3257	LR: 0.000800
Training Epoch: 38 [9728/47500]	Loss: 0.2834	LR: 0.000800
Training Epoch: 38 [9984/47500]	Loss: 0.2596	LR: 0.000800
Training Epoch: 38 [10240/47500]	Loss: 0.2213	LR: 0.000800
Training Epoch: 38 [10496/47500]	Loss: 0.2830	LR: 0.000800
Training Epoch: 38 [10752/47500]	Loss: 0.3402	LR: 0.000800
Training Epoch: 38 [11008/47500]	Loss: 0.2861	LR: 0.000800
Training Epoch: 38 [11264/47500]	Loss: 0.2903	LR: 0.000800
Training Epoch: 38 [11520/47500]	Loss: 0.3044	LR: 0.000800
Training Epoch: 38 [11776/47500]	Loss: 0.2737	LR: 0.000800
Training Epoch: 38 [12032/47500]	Loss: 0.3363	LR: 0.000800
Training Epoch: 38 [12288/47500]	Loss: 0.3980	LR: 0.000800
Training Epoch: 38 [12544/47500]	Loss: 0.3373	LR: 0.000800
Training Epoch: 38 [12800/47500]	Loss: 0.2251	LR: 0.000800
Training Epoch: 38 [13056/47500]	Loss: 0.2961	LR: 0.000800
Training Epoch: 38 [13312/47500]	Loss: 0.2944	LR: 0.000800
Training Epoch: 38 [13568/47500]	Loss: 0.2297	LR: 0.000800
Training Epoch: 38 [13824/47500]	Loss: 0.2423	LR: 0.000800
Training Epoch: 38 [14080/47500]	Loss: 0.2121	LR: 0.000800
Training Epoch: 38 [14336/47500]	Loss: 0.3129	LR: 0.000800
Training Epoch: 38 [14592/47500]	Loss: 0.2978	LR: 0.000800
Training Epoch: 38 [14848/47500]	Loss: 0.2825	LR: 0.000800
Training Epoch: 38 [15104/47500]	Loss: 0.2802	LR: 0.000800
Training Epoch: 38 [15360/47500]	Loss: 0.3199	LR: 0.000800
Training Epoch: 38 [15616/47500]	Loss: 0.2950	LR: 0.000800
Training Epoch: 38 [15872/47500]	Loss: 0.2366	LR: 0.000800
Training Epoch: 38 [16128/47500]	Loss: 0.3424	LR: 0.000800
Training Epoch: 38 [16384/47500]	Loss: 0.3062	LR: 0.000800
Training Epoch: 38 [16640/47500]	Loss: 0.2897	LR: 0.000800
Training Epoch: 38 [16896/47500]	Loss: 0.3115	LR: 0.000800
Training Epoch: 38 [17152/47500]	Loss: 0.2447	LR: 0.000800
Training Epoch: 38 [17408/47500]	Loss: 0.3463	LR: 0.000800
Training Epoch: 38 [17664/47500]	Loss: 0.3494	LR: 0.000800
Training Epoch: 38 [17920/47500]	Loss: 0.2508	LR: 0.000800
Training Epoch: 38 [18176/47500]	Loss: 0.2894	LR: 0.000800
Training Epoch: 38 [18432/47500]	Loss: 0.2795	LR: 0.000800
Training Epoch: 38 [18688/47500]	Loss: 0.3072	LR: 0.000800
Training Epoch: 38 [18944/47500]	Loss: 0.2188	LR: 0.000800
Training Epoch: 38 [19200/47500]	Loss: 0.2164	LR: 0.000800
Training Epoch: 38 [19456/47500]	Loss: 0.2741	LR: 0.000800
Training Epoch: 38 [19712/47500]	Loss: 0.2863	LR: 0.000800
Training Epoch: 38 [19968/47500]	Loss: 0.2590	LR: 0.000800
Training Epoch: 38 [20224/47500]	Loss: 0.2581	LR: 0.000800
Training Epoch: 38 [20480/47500]	Loss: 0.2721	LR: 0.000800
Training Epoch: 38 [20736/47500]	Loss: 0.3070	LR: 0.000800
Training Epoch: 38 [20992/47500]	Loss: 0.2848	LR: 0.000800
Training Epoch: 38 [21248/47500]	Loss: 0.2767	LR: 0.000800
Training Epoch: 38 [21504/47500]	Loss: 0.2609	LR: 0.000800
Training Epoch: 38 [21760/47500]	Loss: 0.2868	LR: 0.000800
Training Epoch: 38 [22016/47500]	Loss: 0.3123	LR: 0.000800
Training Epoch: 38 [22272/47500]	Loss: 0.3204	LR: 0.000800
Training Epoch: 38 [22528/47500]	Loss: 0.3162	LR: 0.000800
Training Epoch: 38 [22784/47500]	Loss: 0.2677	LR: 0.000800
Training Epoch: 38 [23040/47500]	Loss: 0.3350	LR: 0.000800
Training Epoch: 38 [23296/47500]	Loss: 0.2971	LR: 0.000800
Training Epoch: 38 [23552/47500]	Loss: 0.2840	LR: 0.000800
Training Epoch: 38 [23808/47500]	Loss: 0.2791	LR: 0.000800
Training Epoch: 38 [24064/47500]	Loss: 0.3365	LR: 0.000800
Training Epoch: 38 [24320/47500]	Loss: 0.3319	LR: 0.000800
Training Epoch: 38 [24576/47500]	Loss: 0.2862	LR: 0.000800
Training Epoch: 38 [24832/47500]	Loss: 0.2816	LR: 0.000800
Training Epoch: 38 [25088/47500]	Loss: 0.2019	LR: 0.000800
Training Epoch: 38 [25344/47500]	Loss: 0.3216	LR: 0.000800
Training Epoch: 38 [25600/47500]	Loss: 0.3088	LR: 0.000800
Training Epoch: 38 [25856/47500]	Loss: 0.2829	LR: 0.000800
Training Epoch: 38 [26112/47500]	Loss: 0.2578	LR: 0.000800
Training Epoch: 38 [26368/47500]	Loss: 0.2723	LR: 0.000800
Training Epoch: 38 [26624/47500]	Loss: 0.2526	LR: 0.000800
Training Epoch: 38 [26880/47500]	Loss: 0.2821	LR: 0.000800
Training Epoch: 38 [27136/47500]	Loss: 0.2437	LR: 0.000800
Training Epoch: 38 [27392/47500]	Loss: 0.2813	LR: 0.000800
Training Epoch: 38 [27648/47500]	Loss: 0.2847	LR: 0.000800
Training Epoch: 38 [27904/47500]	Loss: 0.2427	LR: 0.000800
Training Epoch: 38 [28160/47500]	Loss: 0.3466	LR: 0.000800
Training Epoch: 38 [28416/47500]	Loss: 0.2920	LR: 0.000800
Training Epoch: 38 [28672/47500]	Loss: 0.3237	LR: 0.000800
Training Epoch: 38 [28928/47500]	Loss: 0.3322	LR: 0.000800
Training Epoch: 38 [29184/47500]	Loss: 0.2900	LR: 0.000800
Training Epoch: 38 [29440/47500]	Loss: 0.2957	LR: 0.000800
Training Epoch: 38 [29696/47500]	Loss: 0.2453	LR: 0.000800
Training Epoch: 38 [29952/47500]	Loss: 0.3345	LR: 0.000800
Training Epoch: 38 [30208/47500]	Loss: 0.3116	LR: 0.000800
Training Epoch: 38 [30464/47500]	Loss: 0.3739	LR: 0.000800
Training Epoch: 38 [30720/47500]	Loss: 0.3077	LR: 0.000800
Training Epoch: 38 [30976/47500]	Loss: 0.2915	LR: 0.000800
Training Epoch: 38 [31232/47500]	Loss: 0.2927	LR: 0.000800
Training Epoch: 38 [31488/47500]	Loss: 0.3239	LR: 0.000800
Training Epoch: 38 [31744/47500]	Loss: 0.3085	LR: 0.000800
Training Epoch: 38 [32000/47500]	Loss: 0.3928	LR: 0.000800
Training Epoch: 38 [32256/47500]	Loss: 0.2717	LR: 0.000800
Training Epoch: 38 [32512/47500]	Loss: 0.2763	LR: 0.000800
Training Epoch: 38 [32768/47500]	Loss: 0.3612	LR: 0.000800
Training Epoch: 38 [33024/47500]	Loss: 0.2821	LR: 0.000800
Training Epoch: 38 [33280/47500]	Loss: 0.2323	LR: 0.000800
Training Epoch: 38 [33536/47500]	Loss: 0.2573	LR: 0.000800
Training Epoch: 38 [33792/47500]	Loss: 0.2774	LR: 0.000800
Training Epoch: 38 [34048/47500]	Loss: 0.3240	LR: 0.000800
Training Epoch: 38 [34304/47500]	Loss: 0.2964	LR: 0.000800
Training Epoch: 38 [34560/47500]	Loss: 0.2357	LR: 0.000800
Training Epoch: 38 [34816/47500]	Loss: 0.3205	LR: 0.000800
Training Epoch: 38 [35072/47500]	Loss: 0.3107	LR: 0.000800
Training Epoch: 38 [35328/47500]	Loss: 0.2883	LR: 0.000800
Training Epoch: 38 [35584/47500]	Loss: 0.2790	LR: 0.000800
Training Epoch: 38 [35840/47500]	Loss: 0.2897	LR: 0.000800
Training Epoch: 38 [36096/47500]	Loss: 0.2964	LR: 0.000800
Training Epoch: 38 [36352/47500]	Loss: 0.2651	LR: 0.000800
Training Epoch: 38 [36608/47500]	Loss: 0.2570	LR: 0.000800
Training Epoch: 38 [36864/47500]	Loss: 0.2913	LR: 0.000800
Training Epoch: 38 [37120/47500]	Loss: 0.2516	LR: 0.000800
Training Epoch: 38 [37376/47500]	Loss: 0.2660	LR: 0.000800
Training Epoch: 38 [37632/47500]	Loss: 0.3085	LR: 0.000800
Training Epoch: 38 [37888/47500]	Loss: 0.2896	LR: 0.000800
Training Epoch: 38 [38144/47500]	Loss: 0.2644	LR: 0.000800
Training Epoch: 38 [38400/47500]	Loss: 0.2979	LR: 0.000800
Training Epoch: 38 [38656/47500]	Loss: 0.3188	LR: 0.000800
Training Epoch: 38 [38912/47500]	Loss: 0.2740	LR: 0.000800
Training Epoch: 38 [39168/47500]	Loss: 0.2310	LR: 0.000800
Training Epoch: 38 [39424/47500]	Loss: 0.2901	LR: 0.000800
Training Epoch: 38 [39680/47500]	Loss: 0.2880	LR: 0.000800
Training Epoch: 38 [39936/47500]	Loss: 0.2630	LR: 0.000800
Training Epoch: 38 [40192/47500]	Loss: 0.3412	LR: 0.000800
Training Epoch: 38 [40448/47500]	Loss: 0.3128	LR: 0.000800
Training Epoch: 38 [40704/47500]	Loss: 0.3134	LR: 0.000800
Training Epoch: 38 [40960/47500]	Loss: 0.3331	LR: 0.000800
Training Epoch: 38 [41216/47500]	Loss: 0.3174	LR: 0.000800
Training Epoch: 38 [41472/47500]	Loss: 0.3567	LR: 0.000800
Training Epoch: 38 [41728/47500]	Loss: 0.2835	LR: 0.000800
Training Epoch: 38 [41984/47500]	Loss: 0.3398	LR: 0.000800
Training Epoch: 38 [42240/47500]	Loss: 0.2945	LR: 0.000800
Training Epoch: 38 [42496/47500]	Loss: 0.2363	LR: 0.000800
Training Epoch: 38 [42752/47500]	Loss: 0.3719	LR: 0.000800
Training Epoch: 38 [43008/47500]	Loss: 0.3006	LR: 0.000800
Training Epoch: 38 [43264/47500]	Loss: 0.3297	LR: 0.000800
Training Epoch: 38 [43520/47500]	Loss: 0.3079	LR: 0.000800
Training Epoch: 38 [43776/47500]	Loss: 0.2977	LR: 0.000800
Training Epoch: 38 [44032/47500]	Loss: 0.2756	LR: 0.000800
Training Epoch: 38 [44288/47500]	Loss: 0.2792	LR: 0.000800
Training Epoch: 38 [44544/47500]	Loss: 0.2446	LR: 0.000800
Training Epoch: 38 [44800/47500]	Loss: 0.3614	LR: 0.000800
Training Epoch: 38 [45056/47500]	Loss: 0.2671	LR: 0.000800
Training Epoch: 38 [45312/47500]	Loss: 0.2606	LR: 0.000800
Training Epoch: 38 [45568/47500]	Loss: 0.2802	LR: 0.000800
Training Epoch: 38 [45824/47500]	Loss: 0.3083	LR: 0.000800
Training Epoch: 38 [46080/47500]	Loss: 0.3224	LR: 0.000800
Training Epoch: 38 [46336/47500]	Loss: 0.3334	LR: 0.000800
Training Epoch: 38 [46592/47500]	Loss: 0.2998	LR: 0.000800
Training Epoch: 38 [46848/47500]	Loss: 0.3426	LR: 0.000800
Training Epoch: 38 [47104/47500]	Loss: 0.3184	LR: 0.000800
Training Epoch: 38 [47360/47500]	Loss: 0.3005	LR: 0.000800
Training Epoch: 38 [47500/47500]	Loss: 0.2906	LR: 0.000800
Epoch 38 - Average Train Loss: 0.2923, Train Accuracy: 0.9140
Epoch 38 training time consumed: 25.87s
Evaluating Network.....
Test set: Epoch: 38, Average loss: 0.0029, Accuracy: 0.7860, Time consumed:0.93s
Training Epoch: 39 [256/47500]	Loss: 0.2897	LR: 0.000800
Training Epoch: 39 [512/47500]	Loss: 0.2906	LR: 0.000800
Training Epoch: 39 [768/47500]	Loss: 0.3158	LR: 0.000800
Training Epoch: 39 [1024/47500]	Loss: 0.3091	LR: 0.000800
Training Epoch: 39 [1280/47500]	Loss: 0.2521	LR: 0.000800
Training Epoch: 39 [1536/47500]	Loss: 0.2279	LR: 0.000800
Training Epoch: 39 [1792/47500]	Loss: 0.2686	LR: 0.000800
Training Epoch: 39 [2048/47500]	Loss: 0.3118	LR: 0.000800
Training Epoch: 39 [2304/47500]	Loss: 0.3194	LR: 0.000800
Training Epoch: 39 [2560/47500]	Loss: 0.3382	LR: 0.000800
Training Epoch: 39 [2816/47500]	Loss: 0.3277	LR: 0.000800
Training Epoch: 39 [3072/47500]	Loss: 0.2648	LR: 0.000800
Training Epoch: 39 [3328/47500]	Loss: 0.2933	LR: 0.000800
Training Epoch: 39 [3584/47500]	Loss: 0.2543	LR: 0.000800
Training Epoch: 39 [3840/47500]	Loss: 0.2460	LR: 0.000800
Training Epoch: 39 [4096/47500]	Loss: 0.2717	LR: 0.000800
Training Epoch: 39 [4352/47500]	Loss: 0.2819	LR: 0.000800
Training Epoch: 39 [4608/47500]	Loss: 0.3098	LR: 0.000800
Training Epoch: 39 [4864/47500]	Loss: 0.3010	LR: 0.000800
Training Epoch: 39 [5120/47500]	Loss: 0.2792	LR: 0.000800
Training Epoch: 39 [5376/47500]	Loss: 0.2204	LR: 0.000800
Training Epoch: 39 [5632/47500]	Loss: 0.3210	LR: 0.000800
Training Epoch: 39 [5888/47500]	Loss: 0.3413	LR: 0.000800
Training Epoch: 39 [6144/47500]	Loss: 0.3179	LR: 0.000800
Training Epoch: 39 [6400/47500]	Loss: 0.3164	LR: 0.000800
Training Epoch: 39 [6656/47500]	Loss: 0.3074	LR: 0.000800
Training Epoch: 39 [6912/47500]	Loss: 0.2930	LR: 0.000800
Training Epoch: 39 [7168/47500]	Loss: 0.3467	LR: 0.000800
Training Epoch: 39 [7424/47500]	Loss: 0.3012	LR: 0.000800
Training Epoch: 39 [7680/47500]	Loss: 0.2711	LR: 0.000800
Training Epoch: 39 [7936/47500]	Loss: 0.2349	LR: 0.000800
Training Epoch: 39 [8192/47500]	Loss: 0.3640	LR: 0.000800
Training Epoch: 39 [8448/47500]	Loss: 0.2628	LR: 0.000800
Training Epoch: 39 [8704/47500]	Loss: 0.3296	LR: 0.000800
Training Epoch: 39 [8960/47500]	Loss: 0.2752	LR: 0.000800
Training Epoch: 39 [9216/47500]	Loss: 0.3243	LR: 0.000800
Training Epoch: 39 [9472/47500]	Loss: 0.3271	LR: 0.000800
Training Epoch: 39 [9728/47500]	Loss: 0.2693	LR: 0.000800
Training Epoch: 39 [9984/47500]	Loss: 0.3224	LR: 0.000800
Training Epoch: 39 [10240/47500]	Loss: 0.3116	LR: 0.000800
Training Epoch: 39 [10496/47500]	Loss: 0.3130	LR: 0.000800
Training Epoch: 39 [10752/47500]	Loss: 0.3057	LR: 0.000800
Training Epoch: 39 [11008/47500]	Loss: 0.2669	LR: 0.000800
Training Epoch: 39 [11264/47500]	Loss: 0.2733	LR: 0.000800
Training Epoch: 39 [11520/47500]	Loss: 0.3476	LR: 0.000800
Training Epoch: 39 [11776/47500]	Loss: 0.2870	LR: 0.000800
Training Epoch: 39 [12032/47500]	Loss: 0.3121	LR: 0.000800
Training Epoch: 39 [12288/47500]	Loss: 0.2877	LR: 0.000800
Training Epoch: 39 [12544/47500]	Loss: 0.3293	LR: 0.000800
Training Epoch: 39 [12800/47500]	Loss: 0.2466	LR: 0.000800
Training Epoch: 39 [13056/47500]	Loss: 0.3678	LR: 0.000800
Training Epoch: 39 [13312/47500]	Loss: 0.2353	LR: 0.000800
Training Epoch: 39 [13568/47500]	Loss: 0.3120	LR: 0.000800
Training Epoch: 39 [13824/47500]	Loss: 0.3353	LR: 0.000800
Training Epoch: 39 [14080/47500]	Loss: 0.2694	LR: 0.000800
Training Epoch: 39 [14336/47500]	Loss: 0.2775	LR: 0.000800
Training Epoch: 39 [14592/47500]	Loss: 0.2460	LR: 0.000800
Training Epoch: 39 [14848/47500]	Loss: 0.3178	LR: 0.000800
Training Epoch: 39 [15104/47500]	Loss: 0.2665	LR: 0.000800
Training Epoch: 39 [15360/47500]	Loss: 0.2537	LR: 0.000800
Training Epoch: 39 [15616/47500]	Loss: 0.3201	LR: 0.000800
Training Epoch: 39 [15872/47500]	Loss: 0.2352	LR: 0.000800
Training Epoch: 39 [16128/47500]	Loss: 0.2791	LR: 0.000800
Training Epoch: 39 [16384/47500]	Loss: 0.2628	LR: 0.000800
Training Epoch: 39 [16640/47500]	Loss: 0.3851	LR: 0.000800
Training Epoch: 39 [16896/47500]	Loss: 0.2445	LR: 0.000800
Training Epoch: 39 [17152/47500]	Loss: 0.3139	LR: 0.000800
Training Epoch: 39 [17408/47500]	Loss: 0.3259	LR: 0.000800
Training Epoch: 39 [17664/47500]	Loss: 0.2700	LR: 0.000800
Training Epoch: 39 [17920/47500]	Loss: 0.3300	LR: 0.000800
Training Epoch: 39 [18176/47500]	Loss: 0.2966	LR: 0.000800
Training Epoch: 39 [18432/47500]	Loss: 0.3068	LR: 0.000800
Training Epoch: 39 [18688/47500]	Loss: 0.2909	LR: 0.000800
Training Epoch: 39 [18944/47500]	Loss: 0.2878	LR: 0.000800
Training Epoch: 39 [19200/47500]	Loss: 0.3151	LR: 0.000800
Training Epoch: 39 [19456/47500]	Loss: 0.2541	LR: 0.000800
Training Epoch: 39 [19712/47500]	Loss: 0.3078	LR: 0.000800
Training Epoch: 39 [19968/47500]	Loss: 0.2844	LR: 0.000800
Training Epoch: 39 [20224/47500]	Loss: 0.3511	LR: 0.000800
Training Epoch: 39 [20480/47500]	Loss: 0.2092	LR: 0.000800
Training Epoch: 39 [20736/47500]	Loss: 0.2646	LR: 0.000800
Training Epoch: 39 [20992/47500]	Loss: 0.2542	LR: 0.000800
Training Epoch: 39 [21248/47500]	Loss: 0.2538	LR: 0.000800
Training Epoch: 39 [21504/47500]	Loss: 0.2313	LR: 0.000800
Training Epoch: 39 [21760/47500]	Loss: 0.2667	LR: 0.000800
Training Epoch: 39 [22016/47500]	Loss: 0.2004	LR: 0.000800
Training Epoch: 39 [22272/47500]	Loss: 0.2739	LR: 0.000800
Training Epoch: 39 [22528/47500]	Loss: 0.2468	LR: 0.000800
Training Epoch: 39 [22784/47500]	Loss: 0.2548	LR: 0.000800
Training Epoch: 39 [23040/47500]	Loss: 0.3368	LR: 0.000800
Training Epoch: 39 [23296/47500]	Loss: 0.3553	LR: 0.000800
Training Epoch: 39 [23552/47500]	Loss: 0.3282	LR: 0.000800
Training Epoch: 39 [23808/47500]	Loss: 0.2903	LR: 0.000800
Training Epoch: 39 [24064/47500]	Loss: 0.3071	LR: 0.000800
Training Epoch: 39 [24320/47500]	Loss: 0.3084	LR: 0.000800
Training Epoch: 39 [24576/47500]	Loss: 0.2644	LR: 0.000800
Training Epoch: 39 [24832/47500]	Loss: 0.3056	LR: 0.000800
Training Epoch: 39 [25088/47500]	Loss: 0.3094	LR: 0.000800
Training Epoch: 39 [25344/47500]	Loss: 0.2924	LR: 0.000800
Training Epoch: 39 [25600/47500]	Loss: 0.2843	LR: 0.000800
Training Epoch: 39 [25856/47500]	Loss: 0.3008	LR: 0.000800
Training Epoch: 39 [26112/47500]	Loss: 0.2783	LR: 0.000800
Training Epoch: 39 [26368/47500]	Loss: 0.2956	LR: 0.000800
Training Epoch: 39 [26624/47500]	Loss: 0.3013	LR: 0.000800
Training Epoch: 39 [26880/47500]	Loss: 0.3146	LR: 0.000800
Training Epoch: 39 [27136/47500]	Loss: 0.3391	LR: 0.000800
Training Epoch: 39 [27392/47500]	Loss: 0.3499	LR: 0.000800
Training Epoch: 39 [27648/47500]	Loss: 0.2620	LR: 0.000800
Training Epoch: 39 [27904/47500]	Loss: 0.2432	LR: 0.000800
Training Epoch: 39 [28160/47500]	Loss: 0.2883	LR: 0.000800
Training Epoch: 39 [28416/47500]	Loss: 0.2738	LR: 0.000800
Training Epoch: 39 [28672/47500]	Loss: 0.2853	LR: 0.000800
Training Epoch: 39 [28928/47500]	Loss: 0.2796	LR: 0.000800
Training Epoch: 39 [29184/47500]	Loss: 0.2754	LR: 0.000800
Training Epoch: 39 [29440/47500]	Loss: 0.3048	LR: 0.000800
Training Epoch: 39 [29696/47500]	Loss: 0.2710	LR: 0.000800
Training Epoch: 39 [29952/47500]	Loss: 0.3608	LR: 0.000800
Training Epoch: 39 [30208/47500]	Loss: 0.2572	LR: 0.000800
Training Epoch: 39 [30464/47500]	Loss: 0.2521	LR: 0.000800
Training Epoch: 39 [30720/47500]	Loss: 0.2877	LR: 0.000800
Training Epoch: 39 [30976/47500]	Loss: 0.3017	LR: 0.000800
Training Epoch: 39 [31232/47500]	Loss: 0.2971	LR: 0.000800
Training Epoch: 39 [31488/47500]	Loss: 0.2755	LR: 0.000800
Training Epoch: 39 [31744/47500]	Loss: 0.2878	LR: 0.000800
Training Epoch: 39 [32000/47500]	Loss: 0.2601	LR: 0.000800
Training Epoch: 39 [32256/47500]	Loss: 0.2303	LR: 0.000800
Training Epoch: 39 [32512/47500]	Loss: 0.2988	LR: 0.000800
Training Epoch: 39 [32768/47500]	Loss: 0.3354	LR: 0.000800
Training Epoch: 39 [33024/47500]	Loss: 0.2572	LR: 0.000800
Training Epoch: 39 [33280/47500]	Loss: 0.2936	LR: 0.000800
Training Epoch: 39 [33536/47500]	Loss: 0.4084	LR: 0.000800
Training Epoch: 39 [33792/47500]	Loss: 0.2918	LR: 0.000800
Training Epoch: 39 [34048/47500]	Loss: 0.2571	LR: 0.000800
Training Epoch: 39 [34304/47500]	Loss: 0.2363	LR: 0.000800
Training Epoch: 39 [34560/47500]	Loss: 0.3570	LR: 0.000800
Training Epoch: 39 [34816/47500]	Loss: 0.2786	LR: 0.000800
Training Epoch: 39 [35072/47500]	Loss: 0.3170	LR: 0.000800
Training Epoch: 39 [35328/47500]	Loss: 0.2317	LR: 0.000800
Training Epoch: 39 [35584/47500]	Loss: 0.2236	LR: 0.000800
Training Epoch: 39 [35840/47500]	Loss: 0.2831	LR: 0.000800
Training Epoch: 39 [36096/47500]	Loss: 0.2435	LR: 0.000800
Training Epoch: 39 [36352/47500]	Loss: 0.3093	LR: 0.000800
Training Epoch: 39 [36608/47500]	Loss: 0.2816	LR: 0.000800
Training Epoch: 39 [36864/47500]	Loss: 0.3228	LR: 0.000800
Training Epoch: 39 [37120/47500]	Loss: 0.2933	LR: 0.000800
Training Epoch: 39 [37376/47500]	Loss: 0.3925	LR: 0.000800
Training Epoch: 39 [37632/47500]	Loss: 0.3245	LR: 0.000800
Training Epoch: 39 [37888/47500]	Loss: 0.2489	LR: 0.000800
Training Epoch: 39 [38144/47500]	Loss: 0.2466	LR: 0.000800
Training Epoch: 39 [38400/47500]	Loss: 0.2898	LR: 0.000800
Training Epoch: 39 [38656/47500]	Loss: 0.3016	LR: 0.000800
Training Epoch: 39 [38912/47500]	Loss: 0.3243	LR: 0.000800
Training Epoch: 39 [39168/47500]	Loss: 0.2633	LR: 0.000800
Training Epoch: 39 [39424/47500]	Loss: 0.3195	LR: 0.000800
Training Epoch: 39 [39680/47500]	Loss: 0.2415	LR: 0.000800
Training Epoch: 39 [39936/47500]	Loss: 0.2149	LR: 0.000800
Training Epoch: 39 [40192/47500]	Loss: 0.3375	LR: 0.000800
Training Epoch: 39 [40448/47500]	Loss: 0.3061	LR: 0.000800
Training Epoch: 39 [40704/47500]	Loss: 0.2369	LR: 0.000800
Training Epoch: 39 [40960/47500]	Loss: 0.3758	LR: 0.000800
Training Epoch: 39 [41216/47500]	Loss: 0.3458	LR: 0.000800
Training Epoch: 39 [41472/47500]	Loss: 0.2871	LR: 0.000800
Training Epoch: 39 [41728/47500]	Loss: 0.2603	LR: 0.000800
Training Epoch: 39 [41984/47500]	Loss: 0.2780	LR: 0.000800
Training Epoch: 39 [42240/47500]	Loss: 0.2650	LR: 0.000800
Training Epoch: 39 [42496/47500]	Loss: 0.2585	LR: 0.000800
Training Epoch: 39 [42752/47500]	Loss: 0.3456	LR: 0.000800
Training Epoch: 39 [43008/47500]	Loss: 0.2211	LR: 0.000800
Training Epoch: 39 [43264/47500]	Loss: 0.3379	LR: 0.000800
Training Epoch: 39 [43520/47500]	Loss: 0.2509	LR: 0.000800
Training Epoch: 39 [43776/47500]	Loss: 0.2952	LR: 0.000800
Training Epoch: 39 [44032/47500]	Loss: 0.2654	LR: 0.000800
Training Epoch: 39 [44288/47500]	Loss: 0.2485	LR: 0.000800
Training Epoch: 39 [44544/47500]	Loss: 0.3458	LR: 0.000800
Training Epoch: 39 [44800/47500]	Loss: 0.2864	LR: 0.000800
Training Epoch: 39 [45056/47500]	Loss: 0.2876	LR: 0.000800
Training Epoch: 39 [45312/47500]	Loss: 0.2521	LR: 0.000800
Training Epoch: 39 [45568/47500]	Loss: 0.2975	LR: 0.000800
Training Epoch: 39 [45824/47500]	Loss: 0.2749	LR: 0.000800
Training Epoch: 39 [46080/47500]	Loss: 0.3006	LR: 0.000800
Training Epoch: 39 [46336/47500]	Loss: 0.2974	LR: 0.000800
Training Epoch: 39 [46592/47500]	Loss: 0.3395	LR: 0.000800
Training Epoch: 39 [46848/47500]	Loss: 0.2683	LR: 0.000800
Training Epoch: 39 [47104/47500]	Loss: 0.3039	LR: 0.000800
Training Epoch: 39 [47360/47500]	Loss: 0.2838	LR: 0.000800
Training Epoch: 39 [47500/47500]	Loss: 0.2567	LR: 0.000800
Epoch 39 - Average Train Loss: 0.2906, Train Accuracy: 0.9141
Epoch 39 training time consumed: 26.02s
Evaluating Network.....
Test set: Epoch: 39, Average loss: 0.0029, Accuracy: 0.7859, Time consumed:0.90s
Training Epoch: 40 [256/47500]	Loss: 0.3257	LR: 0.000800
Training Epoch: 40 [512/47500]	Loss: 0.2748	LR: 0.000800
Training Epoch: 40 [768/47500]	Loss: 0.3042	LR: 0.000800
Training Epoch: 40 [1024/47500]	Loss: 0.1688	LR: 0.000800
Training Epoch: 40 [1280/47500]	Loss: 0.2567	LR: 0.000800
Training Epoch: 40 [1536/47500]	Loss: 0.2661	LR: 0.000800
Training Epoch: 40 [1792/47500]	Loss: 0.2967	LR: 0.000800
Training Epoch: 40 [2048/47500]	Loss: 0.3252	LR: 0.000800
Training Epoch: 40 [2304/47500]	Loss: 0.2604	LR: 0.000800
Training Epoch: 40 [2560/47500]	Loss: 0.3015	LR: 0.000800
Training Epoch: 40 [2816/47500]	Loss: 0.3138	LR: 0.000800
Training Epoch: 40 [3072/47500]	Loss: 0.2667	LR: 0.000800
Training Epoch: 40 [3328/47500]	Loss: 0.2440	LR: 0.000800
Training Epoch: 40 [3584/47500]	Loss: 0.2952	LR: 0.000800
Training Epoch: 40 [3840/47500]	Loss: 0.2918	LR: 0.000800
Training Epoch: 40 [4096/47500]	Loss: 0.3504	LR: 0.000800
Training Epoch: 40 [4352/47500]	Loss: 0.2868	LR: 0.000800
Training Epoch: 40 [4608/47500]	Loss: 0.2593	LR: 0.000800
Training Epoch: 40 [4864/47500]	Loss: 0.3109	LR: 0.000800
Training Epoch: 40 [5120/47500]	Loss: 0.3228	LR: 0.000800
Training Epoch: 40 [5376/47500]	Loss: 0.2281	LR: 0.000800
Training Epoch: 40 [5632/47500]	Loss: 0.2963	LR: 0.000800
Training Epoch: 40 [5888/47500]	Loss: 0.2173	LR: 0.000800
Training Epoch: 40 [6144/47500]	Loss: 0.2709	LR: 0.000800
Training Epoch: 40 [6400/47500]	Loss: 0.2865	LR: 0.000800
Training Epoch: 40 [6656/47500]	Loss: 0.2854	LR: 0.000800
Training Epoch: 40 [6912/47500]	Loss: 0.2929	LR: 0.000800
Training Epoch: 40 [7168/47500]	Loss: 0.2866	LR: 0.000800
Training Epoch: 40 [7424/47500]	Loss: 0.2375	LR: 0.000800
Training Epoch: 40 [7680/47500]	Loss: 0.3152	LR: 0.000800
Training Epoch: 40 [7936/47500]	Loss: 0.3117	LR: 0.000800
Training Epoch: 40 [8192/47500]	Loss: 0.2935	LR: 0.000800
Training Epoch: 40 [8448/47500]	Loss: 0.2962	LR: 0.000800
Training Epoch: 40 [8704/47500]	Loss: 0.2721	LR: 0.000800
Training Epoch: 40 [8960/47500]	Loss: 0.2750	LR: 0.000800
Training Epoch: 40 [9216/47500]	Loss: 0.2862	LR: 0.000800
Training Epoch: 40 [9472/47500]	Loss: 0.2815	LR: 0.000800
Training Epoch: 40 [9728/47500]	Loss: 0.3269	LR: 0.000800
Training Epoch: 40 [9984/47500]	Loss: 0.3407	LR: 0.000800
Training Epoch: 40 [10240/47500]	Loss: 0.3513	LR: 0.000800
Training Epoch: 40 [10496/47500]	Loss: 0.2774	LR: 0.000800
Training Epoch: 40 [10752/47500]	Loss: 0.2492	LR: 0.000800
Training Epoch: 40 [11008/47500]	Loss: 0.3026	LR: 0.000800
Training Epoch: 40 [11264/47500]	Loss: 0.2816	LR: 0.000800
Training Epoch: 40 [11520/47500]	Loss: 0.2804	LR: 0.000800
Training Epoch: 40 [11776/47500]	Loss: 0.2717	LR: 0.000800
Training Epoch: 40 [12032/47500]	Loss: 0.3230	LR: 0.000800
Training Epoch: 40 [12288/47500]	Loss: 0.2917	LR: 0.000800
Training Epoch: 40 [12544/47500]	Loss: 0.2823	LR: 0.000800
Training Epoch: 40 [12800/47500]	Loss: 0.2505	LR: 0.000800
Training Epoch: 40 [13056/47500]	Loss: 0.2626	LR: 0.000800
Training Epoch: 40 [13312/47500]	Loss: 0.2906	LR: 0.000800
Training Epoch: 40 [13568/47500]	Loss: 0.2836	LR: 0.000800
Training Epoch: 40 [13824/47500]	Loss: 0.3933	LR: 0.000800
Training Epoch: 40 [14080/47500]	Loss: 0.3111	LR: 0.000800
Training Epoch: 40 [14336/47500]	Loss: 0.3774	LR: 0.000800
Training Epoch: 40 [14592/47500]	Loss: 0.2585	LR: 0.000800
Training Epoch: 40 [14848/47500]	Loss: 0.2335	LR: 0.000800
Training Epoch: 40 [15104/47500]	Loss: 0.3352	LR: 0.000800
Training Epoch: 40 [15360/47500]	Loss: 0.2953	LR: 0.000800
Training Epoch: 40 [15616/47500]	Loss: 0.3302	LR: 0.000800
Training Epoch: 40 [15872/47500]	Loss: 0.2419	LR: 0.000800
Training Epoch: 40 [16128/47500]	Loss: 0.3199	LR: 0.000800
Training Epoch: 40 [16384/47500]	Loss: 0.3153	LR: 0.000800
Training Epoch: 40 [16640/47500]	Loss: 0.2784	LR: 0.000800
Training Epoch: 40 [16896/47500]	Loss: 0.3260	LR: 0.000800
Training Epoch: 40 [17152/47500]	Loss: 0.3226	LR: 0.000800
Training Epoch: 40 [17408/47500]	Loss: 0.3160	LR: 0.000800
Training Epoch: 40 [17664/47500]	Loss: 0.3059	LR: 0.000800
Training Epoch: 40 [17920/47500]	Loss: 0.2923	LR: 0.000800
Training Epoch: 40 [18176/47500]	Loss: 0.2737	LR: 0.000800
Training Epoch: 40 [18432/47500]	Loss: 0.2811	LR: 0.000800
Training Epoch: 40 [18688/47500]	Loss: 0.2628	LR: 0.000800
Training Epoch: 40 [18944/47500]	Loss: 0.3781	LR: 0.000800
Training Epoch: 40 [19200/47500]	Loss: 0.2524	LR: 0.000800
Training Epoch: 40 [19456/47500]	Loss: 0.2720	LR: 0.000800
Training Epoch: 40 [19712/47500]	Loss: 0.2829	LR: 0.000800
Training Epoch: 40 [19968/47500]	Loss: 0.3033	LR: 0.000800
Training Epoch: 40 [20224/47500]	Loss: 0.2695	LR: 0.000800
Training Epoch: 40 [20480/47500]	Loss: 0.2776	LR: 0.000800
Training Epoch: 40 [20736/47500]	Loss: 0.3013	LR: 0.000800
Training Epoch: 40 [20992/47500]	Loss: 0.2376	LR: 0.000800
Training Epoch: 40 [21248/47500]	Loss: 0.3022	LR: 0.000800
Training Epoch: 40 [21504/47500]	Loss: 0.2733	LR: 0.000800
Training Epoch: 40 [21760/47500]	Loss: 0.2441	LR: 0.000800
Training Epoch: 40 [22016/47500]	Loss: 0.2647	LR: 0.000800
Training Epoch: 40 [22272/47500]	Loss: 0.2623	LR: 0.000800
Training Epoch: 40 [22528/47500]	Loss: 0.2552	LR: 0.000800
Training Epoch: 40 [22784/47500]	Loss: 0.2341	LR: 0.000800
Training Epoch: 40 [23040/47500]	Loss: 0.3158	LR: 0.000800
Training Epoch: 40 [23296/47500]	Loss: 0.2734	LR: 0.000800
Training Epoch: 40 [23552/47500]	Loss: 0.3568	LR: 0.000800
Training Epoch: 40 [23808/47500]	Loss: 0.2809	LR: 0.000800
Training Epoch: 40 [24064/47500]	Loss: 0.2572	LR: 0.000800
Training Epoch: 40 [24320/47500]	Loss: 0.2711	LR: 0.000800
Training Epoch: 40 [24576/47500]	Loss: 0.2596	LR: 0.000800
Training Epoch: 40 [24832/47500]	Loss: 0.3434	LR: 0.000800
Training Epoch: 40 [25088/47500]	Loss: 0.3126	LR: 0.000800
Training Epoch: 40 [25344/47500]	Loss: 0.2841	LR: 0.000800
Training Epoch: 40 [25600/47500]	Loss: 0.3276	LR: 0.000800
Training Epoch: 40 [25856/47500]	Loss: 0.3557	LR: 0.000800
Training Epoch: 40 [26112/47500]	Loss: 0.2753	LR: 0.000800
Training Epoch: 40 [26368/47500]	Loss: 0.2909	LR: 0.000800
Training Epoch: 40 [26624/47500]	Loss: 0.2303	LR: 0.000800
Training Epoch: 40 [26880/47500]	Loss: 0.2922	LR: 0.000800
Training Epoch: 40 [27136/47500]	Loss: 0.2715	LR: 0.000800
Training Epoch: 40 [27392/47500]	Loss: 0.2690	LR: 0.000800
Training Epoch: 40 [27648/47500]	Loss: 0.2738	LR: 0.000800
Training Epoch: 40 [27904/47500]	Loss: 0.2738	LR: 0.000800
Training Epoch: 40 [28160/47500]	Loss: 0.3080	LR: 0.000800
Training Epoch: 40 [28416/47500]	Loss: 0.2728	LR: 0.000800
Training Epoch: 40 [28672/47500]	Loss: 0.3623	LR: 0.000800
Training Epoch: 40 [28928/47500]	Loss: 0.3007	LR: 0.000800
Training Epoch: 40 [29184/47500]	Loss: 0.2440	LR: 0.000800
Training Epoch: 40 [29440/47500]	Loss: 0.2665	LR: 0.000800
Training Epoch: 40 [29696/47500]	Loss: 0.2612	LR: 0.000800
Training Epoch: 40 [29952/47500]	Loss: 0.2969	LR: 0.000800
Training Epoch: 40 [30208/47500]	Loss: 0.3191	LR: 0.000800
Training Epoch: 40 [30464/47500]	Loss: 0.2474	LR: 0.000800
Training Epoch: 40 [30720/47500]	Loss: 0.2510	LR: 0.000800
Training Epoch: 40 [30976/47500]	Loss: 0.2582	LR: 0.000800
Training Epoch: 40 [31232/47500]	Loss: 0.3028	LR: 0.000800
Training Epoch: 40 [31488/47500]	Loss: 0.2877	LR: 0.000800
Training Epoch: 40 [31744/47500]	Loss: 0.2738	LR: 0.000800
Training Epoch: 40 [32000/47500]	Loss: 0.2545	LR: 0.000800
Training Epoch: 40 [32256/47500]	Loss: 0.3044	LR: 0.000800
Training Epoch: 40 [32512/47500]	Loss: 0.2815	LR: 0.000800
Training Epoch: 40 [32768/47500]	Loss: 0.2917	LR: 0.000800
Training Epoch: 40 [33024/47500]	Loss: 0.4199	LR: 0.000800
Training Epoch: 40 [33280/47500]	Loss: 0.3023	LR: 0.000800
Training Epoch: 40 [33536/47500]	Loss: 0.3214	LR: 0.000800
Training Epoch: 40 [33792/47500]	Loss: 0.2626	LR: 0.000800
Training Epoch: 40 [34048/47500]	Loss: 0.2884	LR: 0.000800
Training Epoch: 40 [34304/47500]	Loss: 0.3254	LR: 0.000800
Training Epoch: 40 [34560/47500]	Loss: 0.2600	LR: 0.000800
Training Epoch: 40 [34816/47500]	Loss: 0.2548	LR: 0.000800
Training Epoch: 40 [35072/47500]	Loss: 0.2908	LR: 0.000800
Training Epoch: 40 [35328/47500]	Loss: 0.3117	LR: 0.000800
Training Epoch: 40 [35584/47500]	Loss: 0.2668	LR: 0.000800
Training Epoch: 40 [35840/47500]	Loss: 0.3417	LR: 0.000800
Training Epoch: 40 [36096/47500]	Loss: 0.3001	LR: 0.000800
Training Epoch: 40 [36352/47500]	Loss: 0.3293	LR: 0.000800
Training Epoch: 40 [36608/47500]	Loss: 0.3249	LR: 0.000800
Training Epoch: 40 [36864/47500]	Loss: 0.2842	LR: 0.000800
Training Epoch: 40 [37120/47500]	Loss: 0.2439	LR: 0.000800
Training Epoch: 40 [37376/47500]	Loss: 0.2392	LR: 0.000800
Training Epoch: 40 [37632/47500]	Loss: 0.3630	LR: 0.000800
Training Epoch: 40 [37888/47500]	Loss: 0.2610	LR: 0.000800
Training Epoch: 40 [38144/47500]	Loss: 0.2835	LR: 0.000800
Training Epoch: 40 [38400/47500]	Loss: 0.3103	LR: 0.000800
Training Epoch: 40 [38656/47500]	Loss: 0.2959	LR: 0.000800
Training Epoch: 40 [38912/47500]	Loss: 0.3071	LR: 0.000800
Training Epoch: 40 [39168/47500]	Loss: 0.2840	LR: 0.000800
Training Epoch: 40 [39424/47500]	Loss: 0.2462	LR: 0.000800
Training Epoch: 40 [39680/47500]	Loss: 0.2723	LR: 0.000800
Training Epoch: 40 [39936/47500]	Loss: 0.2613	LR: 0.000800
Training Epoch: 40 [40192/47500]	Loss: 0.2700	LR: 0.000800
Training Epoch: 40 [40448/47500]	Loss: 0.2711	LR: 0.000800
Training Epoch: 40 [40704/47500]	Loss: 0.2773	LR: 0.000800
Training Epoch: 40 [40960/47500]	Loss: 0.2842	LR: 0.000800
Training Epoch: 40 [41216/47500]	Loss: 0.3167	LR: 0.000800
Training Epoch: 40 [41472/47500]	Loss: 0.2476	LR: 0.000800
Training Epoch: 40 [41728/47500]	Loss: 0.3040	LR: 0.000800
Training Epoch: 40 [41984/47500]	Loss: 0.3016	LR: 0.000800
Training Epoch: 40 [42240/47500]	Loss: 0.2507	LR: 0.000800
Training Epoch: 40 [42496/47500]	Loss: 0.2672	LR: 0.000800
Training Epoch: 40 [42752/47500]	Loss: 0.2667	LR: 0.000800
Training Epoch: 40 [43008/47500]	Loss: 0.2957	LR: 0.000800
Training Epoch: 40 [43264/47500]	Loss: 0.3180	LR: 0.000800
Training Epoch: 40 [43520/47500]	Loss: 0.2770	LR: 0.000800
Training Epoch: 40 [43776/47500]	Loss: 0.3074	LR: 0.000800
Training Epoch: 40 [44032/47500]	Loss: 0.2888	LR: 0.000800
Training Epoch: 40 [44288/47500]	Loss: 0.2433	LR: 0.000800
Training Epoch: 40 [44544/47500]	Loss: 0.3103	LR: 0.000800
Training Epoch: 40 [44800/47500]	Loss: 0.3658	LR: 0.000800
Training Epoch: 40 [45056/47500]	Loss: 0.2530	LR: 0.000800
Training Epoch: 40 [45312/47500]	Loss: 0.2943	LR: 0.000800
Training Epoch: 40 [45568/47500]	Loss: 0.2844	LR: 0.000800
Training Epoch: 40 [45824/47500]	Loss: 0.3470	LR: 0.000800
Training Epoch: 40 [46080/47500]	Loss: 0.3174	LR: 0.000800
Training Epoch: 40 [46336/47500]	Loss: 0.2585	LR: 0.000800
Training Epoch: 40 [46592/47500]	Loss: 0.2763	LR: 0.000800
Training Epoch: 40 [46848/47500]	Loss: 0.3270	LR: 0.000800
Training Epoch: 40 [47104/47500]	Loss: 0.2738	LR: 0.000800
Training Epoch: 40 [47360/47500]	Loss: 0.2835	LR: 0.000800
Training Epoch: 40 [47500/47500]	Loss: 0.3802	LR: 0.000800
Epoch 40 - Average Train Loss: 0.2891, Train Accuracy: 0.9141
Epoch 40 training time consumed: 26.13s
Evaluating Network.....
Test set: Epoch: 40, Average loss: 0.0029, Accuracy: 0.7846, Time consumed:0.89s
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  47500
Forget Train Dl:  2500
Retain Valid Dl:  47500
Forget Valid Dl:  2500
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 2500 samples
Set1 Distribution: 2500 samples
Set2 Distribution: 2500 samples
Set1 Distribution: 2500 samples
Set2 Distribution: 2500 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 78.671875
Retain Accuracy: 92.26844024658203
Zero-Retain Forget (ZRF): 0.9139416217803955
Membership Inference Attack (MIA): 0.5496
Forget vs Retain Membership Inference Attack (MIA): 0.533
Forget vs Test Membership Inference Attack (MIA): 0.547
Test vs Retain Membership Inference Attack (MIA): 0.51575
Train vs Test Membership Inference Attack (MIA): 0.566
Forget Set Accuracy (Df): 77.91056060791016
Method Execution Time: 1570.09 seconds
