
📌 S Retain class distribution for seed 6:
Class 0: 450
Class 1: 450
Class 2: 450
Class 3: 450
Class 4: 450
Class 5: 450
Class 6: 450
Class 7: 450
Class 8: 450
Class 9: 450
Class 10: 450
Class 11: 450
Class 12: 450
Class 13: 450
Class 14: 450
Class 15: 450
Class 16: 450
Class 17: 450
Class 18: 450
Class 19: 450
Class 20: 450
Class 21: 450
Class 22: 450
Class 23: 450
Class 24: 450
Class 25: 450
Class 26: 450
Class 27: 450
Class 28: 450
Class 29: 450
Class 30: 450
Class 31: 450
Class 32: 450
Class 33: 450
Class 34: 450
Class 35: 450
Class 36: 450
Class 37: 450
Class 38: 450
Class 39: 450
Class 40: 450
Class 41: 450
Class 42: 450
Class 43: 450
Class 44: 450
Class 45: 450
Class 46: 450
Class 47: 450
Class 48: 450
Class 49: 450
Class 50: 450
Class 51: 450
Class 52: 450
Class 53: 450
Class 54: 450
Class 55: 450
Class 56: 450
Class 57: 450
Class 58: 450
Class 59: 450
Class 60: 450
Class 61: 450
Class 62: 450
Class 63: 450
Class 64: 450
Class 65: 450
Class 66: 450
Class 67: 450
Class 68: 450
Class 69: 450
Class 70: 450
Class 71: 450
Class 72: 450
Class 73: 450
Class 74: 450
Class 75: 450
Class 76: 450
Class 77: 450
Class 78: 450
Class 79: 450
Class 80: 450
Class 81: 450
Class 82: 450
Class 83: 450
Class 84: 450
Class 85: 450
Class 86: 450
Class 87: 450
Class 88: 450
Class 89: 450
Class 90: 450
Class 91: 450
Class 92: 450
Class 93: 450
Class 94: 450
Class 95: 450
Class 96: 450
Class 97: 450
Class 98: 450
Class 99: 450

📌 S Forget class distribution for seed 6:
Class 0: 50
Class 1: 50
Class 2: 50
Class 3: 50
Class 4: 50
Class 5: 50
Class 6: 50
Class 7: 50
Class 8: 50
Class 9: 50
Class 10: 50
Class 11: 50
Class 12: 50
Class 13: 50
Class 14: 50
Class 15: 50
Class 16: 50
Class 17: 50
Class 18: 50
Class 19: 50
Class 20: 50
Class 21: 50
Class 22: 50
Class 23: 50
Class 24: 50
Class 25: 50
Class 26: 50
Class 27: 50
Class 28: 50
Class 29: 50
Class 30: 50
Class 31: 50
Class 32: 50
Class 33: 50
Class 34: 50
Class 35: 50
Class 36: 50
Class 37: 50
Class 38: 50
Class 39: 50
Class 40: 50
Class 41: 50
Class 42: 50
Class 43: 50
Class 44: 50
Class 45: 50
Class 46: 50
Class 47: 50
Class 48: 50
Class 49: 50
Class 50: 50
Class 51: 50
Class 52: 50
Class 53: 50
Class 54: 50
Class 55: 50
Class 56: 50
Class 57: 50
Class 58: 50
Class 59: 50
Class 60: 50
Class 61: 50
Class 62: 50
Class 63: 50
Class 64: 50
Class 65: 50
Class 66: 50
Class 67: 50
Class 68: 50
Class 69: 50
Class 70: 50
Class 71: 50
Class 72: 50
Class 73: 50
Class 74: 50
Class 75: 50
Class 76: 50
Class 77: 50
Class 78: 50
Class 79: 50
Class 80: 50
Class 81: 50
Class 82: 50
Class 83: 50
Class 84: 50
Class 85: 50
Class 86: 50
Class 87: 50
Class 88: 50
Class 89: 50
Class 90: 50
Class 91: 50
Class 92: 50
Class 93: 50
Class 94: 50
Class 95: 50
Class 96: 50
Class 97: 50
Class 98: 50
Class 99: 50

📊 Updated class distribution:
Retain set:
  Class 0: 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: 3.0301	LR: 0.000000
Training Epoch: 1 [512/47500]	Loss: 3.0646	LR: 0.000538
Training Epoch: 1 [768/47500]	Loss: 3.0139	LR: 0.001075
Training Epoch: 1 [1024/47500]	Loss: 3.0533	LR: 0.001613
Training Epoch: 1 [1280/47500]	Loss: 3.0280	LR: 0.002151
Training Epoch: 1 [1536/47500]	Loss: 3.0298	LR: 0.002688
Training Epoch: 1 [1792/47500]	Loss: 3.0202	LR: 0.003226
Training Epoch: 1 [2048/47500]	Loss: 2.9826	LR: 0.003763
Training Epoch: 1 [2304/47500]	Loss: 2.9719	LR: 0.004301
Training Epoch: 1 [2560/47500]	Loss: 2.9637	LR: 0.004839
Training Epoch: 1 [2816/47500]	Loss: 2.9245	LR: 0.005376
Training Epoch: 1 [3072/47500]	Loss: 2.9483	LR: 0.005914
Training Epoch: 1 [3328/47500]	Loss: 2.9323	LR: 0.006452
Training Epoch: 1 [3584/47500]	Loss: 2.8822	LR: 0.006989
Training Epoch: 1 [3840/47500]	Loss: 2.8577	LR: 0.007527
Training Epoch: 1 [4096/47500]	Loss: 2.8815	LR: 0.008065
Training Epoch: 1 [4352/47500]	Loss: 2.8303	LR: 0.008602
Training Epoch: 1 [4608/47500]	Loss: 2.8297	LR: 0.009140
Training Epoch: 1 [4864/47500]	Loss: 2.8534	LR: 0.009677
Training Epoch: 1 [5120/47500]	Loss: 2.7918	LR: 0.010215
Training Epoch: 1 [5376/47500]	Loss: 2.8126	LR: 0.010753
Training Epoch: 1 [5632/47500]	Loss: 2.7489	LR: 0.011290
Training Epoch: 1 [5888/47500]	Loss: 2.7691	LR: 0.011828
Training Epoch: 1 [6144/47500]	Loss: 2.7721	LR: 0.012366
Training Epoch: 1 [6400/47500]	Loss: 2.8086	LR: 0.012903
Training Epoch: 1 [6656/47500]	Loss: 2.8077	LR: 0.013441
Training Epoch: 1 [6912/47500]	Loss: 2.7794	LR: 0.013978
Training Epoch: 1 [7168/47500]	Loss: 2.7022	LR: 0.014516
Training Epoch: 1 [7424/47500]	Loss: 2.7921	LR: 0.015054
Training Epoch: 1 [7680/47500]	Loss: 2.7522	LR: 0.015591
Training Epoch: 1 [7936/47500]	Loss: 2.6827	LR: 0.016129
Training Epoch: 1 [8192/47500]	Loss: 2.6677	LR: 0.016667
Training Epoch: 1 [8448/47500]	Loss: 2.7176	LR: 0.017204
Training Epoch: 1 [8704/47500]	Loss: 2.6307	LR: 0.017742
Training Epoch: 1 [8960/47500]	Loss: 2.6552	LR: 0.018280
Training Epoch: 1 [9216/47500]	Loss: 2.6996	LR: 0.018817
Training Epoch: 1 [9472/47500]	Loss: 2.6711	LR: 0.019355
Training Epoch: 1 [9728/47500]	Loss: 2.6369	LR: 0.019892
Training Epoch: 1 [9984/47500]	Loss: 2.6171	LR: 0.020430
Training Epoch: 1 [10240/47500]	Loss: 2.6553	LR: 0.020968
Training Epoch: 1 [10496/47500]	Loss: 2.5704	LR: 0.021505
Training Epoch: 1 [10752/47500]	Loss: 2.6185	LR: 0.022043
Training Epoch: 1 [11008/47500]	Loss: 2.6140	LR: 0.022581
Training Epoch: 1 [11264/47500]	Loss: 2.5080	LR: 0.023118
Training Epoch: 1 [11520/47500]	Loss: 2.5829	LR: 0.023656
Training Epoch: 1 [11776/47500]	Loss: 2.5482	LR: 0.024194
Training Epoch: 1 [12032/47500]	Loss: 2.5586	LR: 0.024731
Training Epoch: 1 [12288/47500]	Loss: 2.5955	LR: 0.025269
Training Epoch: 1 [12544/47500]	Loss: 2.6932	LR: 0.025806
Training Epoch: 1 [12800/47500]	Loss: 2.5425	LR: 0.026344
Training Epoch: 1 [13056/47500]	Loss: 2.5622	LR: 0.026882
Training Epoch: 1 [13312/47500]	Loss: 2.6294	LR: 0.027419
Training Epoch: 1 [13568/47500]	Loss: 2.5622	LR: 0.027957
Training Epoch: 1 [13824/47500]	Loss: 2.6077	LR: 0.028495
Training Epoch: 1 [14080/47500]	Loss: 2.5733	LR: 0.029032
Training Epoch: 1 [14336/47500]	Loss: 2.5222	LR: 0.029570
Training Epoch: 1 [14592/47500]	Loss: 2.5006	LR: 0.030108
Training Epoch: 1 [14848/47500]	Loss: 2.5357	LR: 0.030645
Training Epoch: 1 [15104/47500]	Loss: 2.5227	LR: 0.031183
Training Epoch: 1 [15360/47500]	Loss: 2.5916	LR: 0.031720
Training Epoch: 1 [15616/47500]	Loss: 2.5255	LR: 0.032258
Training Epoch: 1 [15872/47500]	Loss: 2.5678	LR: 0.032796
Training Epoch: 1 [16128/47500]	Loss: 2.5275	LR: 0.033333
Training Epoch: 1 [16384/47500]	Loss: 2.5749	LR: 0.033871
Training Epoch: 1 [16640/47500]	Loss: 2.5373	LR: 0.034409
Training Epoch: 1 [16896/47500]	Loss: 2.6303	LR: 0.034946
Training Epoch: 1 [17152/47500]	Loss: 2.5711	LR: 0.035484
Training Epoch: 1 [17408/47500]	Loss: 2.5088	LR: 0.036022
Training Epoch: 1 [17664/47500]	Loss: 2.5316	LR: 0.036559
Training Epoch: 1 [17920/47500]	Loss: 2.4559	LR: 0.037097
Training Epoch: 1 [18176/47500]	Loss: 2.3956	LR: 0.037634
Training Epoch: 1 [18432/47500]	Loss: 2.4235	LR: 0.038172
Training Epoch: 1 [18688/47500]	Loss: 2.4254	LR: 0.038710
Training Epoch: 1 [18944/47500]	Loss: 2.4770	LR: 0.039247
Training Epoch: 1 [19200/47500]	Loss: 2.4937	LR: 0.039785
Training Epoch: 1 [19456/47500]	Loss: 2.4293	LR: 0.040323
Training Epoch: 1 [19712/47500]	Loss: 2.3803	LR: 0.040860
Training Epoch: 1 [19968/47500]	Loss: 2.4494	LR: 0.041398
Training Epoch: 1 [20224/47500]	Loss: 2.4435	LR: 0.041935
Training Epoch: 1 [20480/47500]	Loss: 2.4551	LR: 0.042473
Training Epoch: 1 [20736/47500]	Loss: 2.4048	LR: 0.043011
Training Epoch: 1 [20992/47500]	Loss: 2.4795	LR: 0.043548
Training Epoch: 1 [21248/47500]	Loss: 2.5127	LR: 0.044086
Training Epoch: 1 [21504/47500]	Loss: 2.4710	LR: 0.044624
Training Epoch: 1 [21760/47500]	Loss: 2.4717	LR: 0.045161
Training Epoch: 1 [22016/47500]	Loss: 2.5347	LR: 0.045699
Training Epoch: 1 [22272/47500]	Loss: 2.3785	LR: 0.046237
Training Epoch: 1 [22528/47500]	Loss: 2.4772	LR: 0.046774
Training Epoch: 1 [22784/47500]	Loss: 2.4874	LR: 0.047312
Training Epoch: 1 [23040/47500]	Loss: 2.4568	LR: 0.047849
Training Epoch: 1 [23296/47500]	Loss: 2.4837	LR: 0.048387
Training Epoch: 1 [23552/47500]	Loss: 2.5998	LR: 0.048925
Training Epoch: 1 [23808/47500]	Loss: 2.5039	LR: 0.049462
Training Epoch: 1 [24064/47500]	Loss: 2.3770	LR: 0.050000
Training Epoch: 1 [24320/47500]	Loss: 2.4042	LR: 0.050538
Training Epoch: 1 [24576/47500]	Loss: 2.4885	LR: 0.051075
Training Epoch: 1 [24832/47500]	Loss: 2.3951	LR: 0.051613
Training Epoch: 1 [25088/47500]	Loss: 2.5818	LR: 0.052151
Training Epoch: 1 [25344/47500]	Loss: 2.4522	LR: 0.052688
Training Epoch: 1 [25600/47500]	Loss: 2.3714	LR: 0.053226
Training Epoch: 1 [25856/47500]	Loss: 2.4316	LR: 0.053763
Training Epoch: 1 [26112/47500]	Loss: 2.4288	LR: 0.054301
Training Epoch: 1 [26368/47500]	Loss: 2.5774	LR: 0.054839
Training Epoch: 1 [26624/47500]	Loss: 2.4775	LR: 0.055376
Training Epoch: 1 [26880/47500]	Loss: 2.4313	LR: 0.055914
Training Epoch: 1 [27136/47500]	Loss: 2.4622	LR: 0.056452
Training Epoch: 1 [27392/47500]	Loss: 2.4384	LR: 0.056989
Training Epoch: 1 [27648/47500]	Loss: 2.4499	LR: 0.057527
Training Epoch: 1 [27904/47500]	Loss: 2.4500	LR: 0.058065
Training Epoch: 1 [28160/47500]	Loss: 2.4071	LR: 0.058602
Training Epoch: 1 [28416/47500]	Loss: 2.2680	LR: 0.059140
Training Epoch: 1 [28672/47500]	Loss: 2.5291	LR: 0.059677
Training Epoch: 1 [28928/47500]	Loss: 2.4658	LR: 0.060215
Training Epoch: 1 [29184/47500]	Loss: 2.4597	LR: 0.060753
Training Epoch: 1 [29440/47500]	Loss: 2.4728	LR: 0.061290
Training Epoch: 1 [29696/47500]	Loss: 2.5096	LR: 0.061828
Training Epoch: 1 [29952/47500]	Loss: 2.4109	LR: 0.062366
Training Epoch: 1 [30208/47500]	Loss: 2.6186	LR: 0.062903
Training Epoch: 1 [30464/47500]	Loss: 2.5235	LR: 0.063441
Training Epoch: 1 [30720/47500]	Loss: 2.4234	LR: 0.063978
Training Epoch: 1 [30976/47500]	Loss: 2.5866	LR: 0.064516
Training Epoch: 1 [31232/47500]	Loss: 2.4032	LR: 0.065054
Training Epoch: 1 [31488/47500]	Loss: 2.3827	LR: 0.065591
Training Epoch: 1 [31744/47500]	Loss: 2.3691	LR: 0.066129
Training Epoch: 1 [32000/47500]	Loss: 2.4047	LR: 0.066667
Training Epoch: 1 [32256/47500]	Loss: 2.4551	LR: 0.067204
Training Epoch: 1 [32512/47500]	Loss: 2.4925	LR: 0.067742
Training Epoch: 1 [32768/47500]	Loss: 2.3533	LR: 0.068280
Training Epoch: 1 [33024/47500]	Loss: 2.4125	LR: 0.068817
Training Epoch: 1 [33280/47500]	Loss: 2.4411	LR: 0.069355
Training Epoch: 1 [33536/47500]	Loss: 2.3993	LR: 0.069892
Training Epoch: 1 [33792/47500]	Loss: 2.3901	LR: 0.070430
Training Epoch: 1 [34048/47500]	Loss: 2.3279	LR: 0.070968
Training Epoch: 1 [34304/47500]	Loss: 2.4684	LR: 0.071505
Training Epoch: 1 [34560/47500]	Loss: 2.4410	LR: 0.072043
Training Epoch: 1 [34816/47500]	Loss: 2.5047	LR: 0.072581
Training Epoch: 1 [35072/47500]	Loss: 2.3904	LR: 0.073118
Training Epoch: 1 [35328/47500]	Loss: 2.4729	LR: 0.073656
Training Epoch: 1 [35584/47500]	Loss: 2.5058	LR: 0.074194
Training Epoch: 1 [35840/47500]	Loss: 2.4775	LR: 0.074731
Training Epoch: 1 [36096/47500]	Loss: 2.4019	LR: 0.075269
Training Epoch: 1 [36352/47500]	Loss: 2.3829	LR: 0.075806
Training Epoch: 1 [36608/47500]	Loss: 2.4425	LR: 0.076344
Training Epoch: 1 [36864/47500]	Loss: 2.3988	LR: 0.076882
Training Epoch: 1 [37120/47500]	Loss: 2.3858	LR: 0.077419
Training Epoch: 1 [37376/47500]	Loss: 2.2996	LR: 0.077957
Training Epoch: 1 [37632/47500]	Loss: 2.4340	LR: 0.078495
Training Epoch: 1 [37888/47500]	Loss: 2.3811	LR: 0.079032
Training Epoch: 1 [38144/47500]	Loss: 2.3924	LR: 0.079570
Training Epoch: 1 [38400/47500]	Loss: 2.3591	LR: 0.080108
Training Epoch: 1 [38656/47500]	Loss: 2.4101	LR: 0.080645
Training Epoch: 1 [38912/47500]	Loss: 2.2944	LR: 0.081183
Training Epoch: 1 [39168/47500]	Loss: 2.3481	LR: 0.081720
Training Epoch: 1 [39424/47500]	Loss: 2.4870	LR: 0.082258
Training Epoch: 1 [39680/47500]	Loss: 2.3222	LR: 0.082796
Training Epoch: 1 [39936/47500]	Loss: 2.3405	LR: 0.083333
Training Epoch: 1 [40192/47500]	Loss: 2.3102	LR: 0.083871
Training Epoch: 1 [40448/47500]	Loss: 2.4300	LR: 0.084409
Training Epoch: 1 [40704/47500]	Loss: 2.2908	LR: 0.084946
Training Epoch: 1 [40960/47500]	Loss: 2.2864	LR: 0.085484
Training Epoch: 1 [41216/47500]	Loss: 2.3789	LR: 0.086022
Training Epoch: 1 [41472/47500]	Loss: 2.3536	LR: 0.086559
Training Epoch: 1 [41728/47500]	Loss: 2.3018	LR: 0.087097
Training Epoch: 1 [41984/47500]	Loss: 2.3961	LR: 0.087634
Training Epoch: 1 [42240/47500]	Loss: 2.2863	LR: 0.088172
Training Epoch: 1 [42496/47500]	Loss: 2.4422	LR: 0.088710
Training Epoch: 1 [42752/47500]	Loss: 2.2714	LR: 0.089247
Training Epoch: 1 [43008/47500]	Loss: 2.3071	LR: 0.089785
Training Epoch: 1 [43264/47500]	Loss: 2.3489	LR: 0.090323
Training Epoch: 1 [43520/47500]	Loss: 2.3436	LR: 0.090860
Training Epoch: 1 [43776/47500]	Loss: 2.2789	LR: 0.091398
Training Epoch: 1 [44032/47500]	Loss: 2.3432	LR: 0.091935
Training Epoch: 1 [44288/47500]	Loss: 2.3819	LR: 0.092473
Training Epoch: 1 [44544/47500]	Loss: 2.4009	LR: 0.093011
Training Epoch: 1 [44800/47500]	Loss: 2.4030	LR: 0.093548
Training Epoch: 1 [45056/47500]	Loss: 2.3569	LR: 0.094086
Training Epoch: 1 [45312/47500]	Loss: 2.2746	LR: 0.094624
Training Epoch: 1 [45568/47500]	Loss: 2.4459	LR: 0.095161
Training Epoch: 1 [45824/47500]	Loss: 2.3569	LR: 0.095699
Training Epoch: 1 [46080/47500]	Loss: 2.3640	LR: 0.096237
Training Epoch: 1 [46336/47500]	Loss: 2.3634	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 2.3214	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 2.3599	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 2.3381	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 2.2387	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 2.1137	LR: 0.099462
Epoch 1 - Average Train Loss: 2.5275, Train Accuracy: 0.2156
Epoch 1 training time consumed: 26.63s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0100, Accuracy: 0.2568, Time consumed:1.12s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_22h_16m_46s/AllCNN-Cifar20-seed6-ret50-1-best.pth
Training Epoch: 2 [256/47500]	Loss: 2.3847	LR: 0.100000
Training Epoch: 2 [512/47500]	Loss: 2.4368	LR: 0.100000
Training Epoch: 2 [768/47500]	Loss: 2.3613	LR: 0.100000
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Epoch 2 - Average Train Loss: 2.1841, Train Accuracy: 0.3181
Epoch 2 training time consumed: 25.84s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0082, Accuracy: 0.3713, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_22h_16m_46s/AllCNN-Cifar20-seed6-ret50-2-best.pth
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Training Epoch: 3 [47500/47500]	Loss: 1.9153	LR: 0.100000
Epoch 3 - Average Train Loss: 1.9477, Train Accuracy: 0.3908
Epoch 3 training time consumed: 25.90s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0090, Accuracy: 0.3458, Time consumed:0.98s
Training Epoch: 4 [256/47500]	Loss: 1.9090	LR: 0.100000
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Training Epoch: 4 [47500/47500]	Loss: 1.6863	LR: 0.100000
Epoch 4 - Average Train Loss: 1.7757, Train Accuracy: 0.4401
Epoch 4 training time consumed: 26.01s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0083, Accuracy: 0.3814, Time consumed:0.88s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_22h_16m_46s/AllCNN-Cifar20-seed6-ret50-4-best.pth
Training Epoch: 5 [256/47500]	Loss: 1.7516	LR: 0.100000
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Epoch 5 - Average Train Loss: 1.6197, Train Accuracy: 0.4891
Epoch 5 training time consumed: 25.77s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0090, Accuracy: 0.3829, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_22h_16m_46s/AllCNN-Cifar20-seed6-ret50-5-best.pth
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Epoch 6 - Average Train Loss: 1.4838, Train Accuracy: 0.5293
Epoch 6 training time consumed: 26.04s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0063, Accuracy: 0.5108, Time consumed:0.89s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_22h_16m_46s/AllCNN-Cifar20-seed6-ret50-6-best.pth
Training Epoch: 7 [256/47500]	Loss: 1.3594	LR: 0.100000
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Epoch 7 - Average Train Loss: 1.3689, Train Accuracy: 0.5635
Epoch 7 training time consumed: 25.84s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0057, Accuracy: 0.5538, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_22h_16m_46s/AllCNN-Cifar20-seed6-ret50-7-best.pth
Training Epoch: 8 [256/47500]	Loss: 1.4197	LR: 0.100000
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Epoch 8 - Average Train Loss: 1.2864, Train Accuracy: 0.5872
Epoch 8 training time consumed: 25.92s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0054, Accuracy: 0.5751, Time consumed:0.88s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_22h_16m_46s/AllCNN-Cifar20-seed6-ret50-8-best.pth
Training Epoch: 9 [256/47500]	Loss: 1.0944	LR: 0.100000
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Training Epoch: 9 [47500/47500]	Loss: 1.1137	LR: 0.100000
Epoch 9 - Average Train Loss: 1.2174, Train Accuracy: 0.6106
Epoch 9 training time consumed: 25.84s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0053, Accuracy: 0.5834, Time consumed:0.87s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_22h_16m_46s/AllCNN-Cifar20-seed6-ret50-9-best.pth
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Epoch 10 - Average Train Loss: 1.1637, Train Accuracy: 0.6271
Epoch 10 training time consumed: 26.04s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0053, Accuracy: 0.5830, Time consumed:0.94s
Training Epoch: 11 [256/47500]	Loss: 1.2455	LR: 0.100000
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Training Epoch: 11 [47500/47500]	Loss: 1.1063	LR: 0.100000
Epoch 11 - Average Train Loss: 1.1197, Train Accuracy: 0.6396
Epoch 11 training time consumed: 25.83s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0054, Accuracy: 0.5907, Time consumed:0.86s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_22h_16m_46s/AllCNN-Cifar20-seed6-ret50-11-best.pth
Training Epoch: 12 [256/47500]	Loss: 1.0892	LR: 0.100000
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Training Epoch: 12 [47500/47500]	Loss: 0.8466	LR: 0.100000
Epoch 12 - Average Train Loss: 1.0701, Train Accuracy: 0.6585
Epoch 12 training time consumed: 25.98s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0049, Accuracy: 0.6135, Time consumed:0.98s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_22h_16m_46s/AllCNN-Cifar20-seed6-ret50-12-best.pth
Training Epoch: 13 [256/47500]	Loss: 1.2181	LR: 0.100000
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Training Epoch: 13 [19456/47500]	Loss: 1.1118	LR: 0.100000
Training Epoch: 13 [19712/47500]	Loss: 1.1026	LR: 0.100000
Training Epoch: 13 [19968/47500]	Loss: 1.0419	LR: 0.100000
Training Epoch: 13 [20224/47500]	Loss: 1.0640	LR: 0.100000
Training Epoch: 13 [20480/47500]	Loss: 0.9165	LR: 0.100000
Training Epoch: 13 [20736/47500]	Loss: 0.9149	LR: 0.100000
Training Epoch: 13 [20992/47500]	Loss: 1.1307	LR: 0.100000
Training Epoch: 13 [21248/47500]	Loss: 1.0737	LR: 0.100000
Training Epoch: 13 [21504/47500]	Loss: 1.1836	LR: 0.100000
Training Epoch: 13 [21760/47500]	Loss: 1.1385	LR: 0.100000
Training Epoch: 13 [22016/47500]	Loss: 1.1105	LR: 0.100000
Training Epoch: 13 [22272/47500]	Loss: 1.1728	LR: 0.100000
Training Epoch: 13 [22528/47500]	Loss: 1.1376	LR: 0.100000
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Training Epoch: 13 [23808/47500]	Loss: 0.9803	LR: 0.100000
Training Epoch: 13 [24064/47500]	Loss: 1.0134	LR: 0.100000
Training Epoch: 13 [24320/47500]	Loss: 1.1097	LR: 0.100000
Training Epoch: 13 [24576/47500]	Loss: 0.9016	LR: 0.100000
Training Epoch: 13 [24832/47500]	Loss: 1.0967	LR: 0.100000
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Training Epoch: 13 [25344/47500]	Loss: 0.9910	LR: 0.100000
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Training Epoch: 13 [26368/47500]	Loss: 0.9871	LR: 0.100000
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Training Epoch: 13 [26880/47500]	Loss: 0.9587	LR: 0.100000
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Training Epoch: 13 [27648/47500]	Loss: 0.8798	LR: 0.100000
Training Epoch: 13 [27904/47500]	Loss: 0.9869	LR: 0.100000
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Training Epoch: 13 [28416/47500]	Loss: 0.9629	LR: 0.100000
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Training Epoch: 13 [28928/47500]	Loss: 1.1451	LR: 0.100000
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Training Epoch: 13 [29440/47500]	Loss: 1.0622	LR: 0.100000
Training Epoch: 13 [29696/47500]	Loss: 1.0852	LR: 0.100000
Training Epoch: 13 [29952/47500]	Loss: 1.0194	LR: 0.100000
Training Epoch: 13 [30208/47500]	Loss: 1.0153	LR: 0.100000
Training Epoch: 13 [30464/47500]	Loss: 1.0598	LR: 0.100000
Training Epoch: 13 [30720/47500]	Loss: 1.0119	LR: 0.100000
Training Epoch: 13 [30976/47500]	Loss: 1.0412	LR: 0.100000
Training Epoch: 13 [31232/47500]	Loss: 0.9810	LR: 0.100000
Training Epoch: 13 [31488/47500]	Loss: 0.8892	LR: 0.100000
Training Epoch: 13 [31744/47500]	Loss: 0.8985	LR: 0.100000
Training Epoch: 13 [32000/47500]	Loss: 0.9795	LR: 0.100000
Training Epoch: 13 [32256/47500]	Loss: 0.9669	LR: 0.100000
Training Epoch: 13 [32512/47500]	Loss: 1.0229	LR: 0.100000
Training Epoch: 13 [32768/47500]	Loss: 1.0196	LR: 0.100000
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Training Epoch: 13 [34304/47500]	Loss: 1.0827	LR: 0.100000
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Training Epoch: 13 [34816/47500]	Loss: 0.9816	LR: 0.100000
Training Epoch: 13 [35072/47500]	Loss: 0.9924	LR: 0.100000
Training Epoch: 13 [35328/47500]	Loss: 1.0400	LR: 0.100000
Training Epoch: 13 [35584/47500]	Loss: 0.9900	LR: 0.100000
Training Epoch: 13 [35840/47500]	Loss: 1.0741	LR: 0.100000
Training Epoch: 13 [36096/47500]	Loss: 0.9676	LR: 0.100000
Training Epoch: 13 [36352/47500]	Loss: 1.0199	LR: 0.100000
Training Epoch: 13 [36608/47500]	Loss: 1.0835	LR: 0.100000
Training Epoch: 13 [36864/47500]	Loss: 0.9592	LR: 0.100000
Training Epoch: 13 [37120/47500]	Loss: 1.1852	LR: 0.100000
Training Epoch: 13 [37376/47500]	Loss: 1.0185	LR: 0.100000
Training Epoch: 13 [37632/47500]	Loss: 1.1224	LR: 0.100000
Training Epoch: 13 [37888/47500]	Loss: 1.0643	LR: 0.100000
Training Epoch: 13 [38144/47500]	Loss: 0.9939	LR: 0.100000
Training Epoch: 13 [38400/47500]	Loss: 0.9611	LR: 0.100000
Training Epoch: 13 [38656/47500]	Loss: 0.9555	LR: 0.100000
Training Epoch: 13 [38912/47500]	Loss: 0.8249	LR: 0.100000
Training Epoch: 13 [39168/47500]	Loss: 1.0402	LR: 0.100000
Training Epoch: 13 [39424/47500]	Loss: 0.9777	LR: 0.100000
Training Epoch: 13 [39680/47500]	Loss: 1.0442	LR: 0.100000
Training Epoch: 13 [39936/47500]	Loss: 1.0181	LR: 0.100000
Training Epoch: 13 [40192/47500]	Loss: 1.0172	LR: 0.100000
Training Epoch: 13 [40448/47500]	Loss: 1.0137	LR: 0.100000
Training Epoch: 13 [40704/47500]	Loss: 0.9905	LR: 0.100000
Training Epoch: 13 [40960/47500]	Loss: 1.0272	LR: 0.100000
Training Epoch: 13 [41216/47500]	Loss: 0.9495	LR: 0.100000
Training Epoch: 13 [41472/47500]	Loss: 1.0085	LR: 0.100000
Training Epoch: 13 [41728/47500]	Loss: 0.9612	LR: 0.100000
Training Epoch: 13 [41984/47500]	Loss: 1.1368	LR: 0.100000
Training Epoch: 13 [42240/47500]	Loss: 1.1175	LR: 0.100000
Training Epoch: 13 [42496/47500]	Loss: 0.9838	LR: 0.100000
Training Epoch: 13 [42752/47500]	Loss: 0.9868	LR: 0.100000
Training Epoch: 13 [43008/47500]	Loss: 1.0825	LR: 0.100000
Training Epoch: 13 [43264/47500]	Loss: 1.0075	LR: 0.100000
Training Epoch: 13 [43520/47500]	Loss: 1.0803	LR: 0.100000
Training Epoch: 13 [43776/47500]	Loss: 0.8551	LR: 0.100000
Training Epoch: 13 [44032/47500]	Loss: 0.9597	LR: 0.100000
Training Epoch: 13 [44288/47500]	Loss: 1.0415	LR: 0.100000
Training Epoch: 13 [44544/47500]	Loss: 1.0242	LR: 0.100000
Training Epoch: 13 [44800/47500]	Loss: 0.9789	LR: 0.100000
Training Epoch: 13 [45056/47500]	Loss: 0.9895	LR: 0.100000
Training Epoch: 13 [45312/47500]	Loss: 1.1391	LR: 0.100000
Training Epoch: 13 [45568/47500]	Loss: 1.0997	LR: 0.100000
Training Epoch: 13 [45824/47500]	Loss: 1.0250	LR: 0.100000
Training Epoch: 13 [46080/47500]	Loss: 1.0499	LR: 0.100000
Training Epoch: 13 [46336/47500]	Loss: 0.9985	LR: 0.100000
Training Epoch: 13 [46592/47500]	Loss: 0.9488	LR: 0.100000
Training Epoch: 13 [46848/47500]	Loss: 1.1025	LR: 0.100000
Training Epoch: 13 [47104/47500]	Loss: 1.0313	LR: 0.100000
Training Epoch: 13 [47360/47500]	Loss: 1.2053	LR: 0.100000
Training Epoch: 13 [47500/47500]	Loss: 1.0677	LR: 0.100000
Epoch 13 - Average Train Loss: 1.0348, Train Accuracy: 0.6692
Epoch 13 training time consumed: 25.93s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0057, Accuracy: 0.5928, Time consumed:0.92s
Training Epoch: 14 [256/47500]	Loss: 0.9462	LR: 0.100000
Training Epoch: 14 [512/47500]	Loss: 1.0935	LR: 0.100000
Training Epoch: 14 [768/47500]	Loss: 1.0717	LR: 0.100000
Training Epoch: 14 [1024/47500]	Loss: 1.1154	LR: 0.100000
Training Epoch: 14 [1280/47500]	Loss: 1.1133	LR: 0.100000
Training Epoch: 14 [1536/47500]	Loss: 1.1259	LR: 0.100000
Training Epoch: 14 [1792/47500]	Loss: 1.2086	LR: 0.100000
Training Epoch: 14 [2048/47500]	Loss: 0.9556	LR: 0.100000
Training Epoch: 14 [2304/47500]	Loss: 0.9537	LR: 0.100000
Training Epoch: 14 [2560/47500]	Loss: 1.0542	LR: 0.100000
Training Epoch: 14 [2816/47500]	Loss: 0.9979	LR: 0.100000
Training Epoch: 14 [3072/47500]	Loss: 0.9512	LR: 0.100000
Training Epoch: 14 [3328/47500]	Loss: 0.9128	LR: 0.100000
Training Epoch: 14 [3584/47500]	Loss: 0.9920	LR: 0.100000
Training Epoch: 14 [3840/47500]	Loss: 1.0724	LR: 0.100000
Training Epoch: 14 [4096/47500]	Loss: 0.9440	LR: 0.100000
Training Epoch: 14 [4352/47500]	Loss: 0.9186	LR: 0.100000
Training Epoch: 14 [4608/47500]	Loss: 0.9644	LR: 0.100000
Training Epoch: 14 [4864/47500]	Loss: 1.0607	LR: 0.100000
Training Epoch: 14 [5120/47500]	Loss: 1.0207	LR: 0.100000
Training Epoch: 14 [5376/47500]	Loss: 0.9633	LR: 0.100000
Training Epoch: 14 [5632/47500]	Loss: 0.8487	LR: 0.100000
Training Epoch: 14 [5888/47500]	Loss: 0.9733	LR: 0.100000
Training Epoch: 14 [6144/47500]	Loss: 0.9853	LR: 0.100000
Training Epoch: 14 [6400/47500]	Loss: 1.0678	LR: 0.100000
Training Epoch: 14 [6656/47500]	Loss: 0.8581	LR: 0.100000
Training Epoch: 14 [6912/47500]	Loss: 1.0567	LR: 0.100000
Training Epoch: 14 [7168/47500]	Loss: 1.0321	LR: 0.100000
Training Epoch: 14 [7424/47500]	Loss: 1.0802	LR: 0.100000
Training Epoch: 14 [7680/47500]	Loss: 0.9362	LR: 0.100000
Training Epoch: 14 [7936/47500]	Loss: 0.8398	LR: 0.100000
Training Epoch: 14 [8192/47500]	Loss: 0.9371	LR: 0.100000
Training Epoch: 14 [8448/47500]	Loss: 0.9352	LR: 0.100000
Training Epoch: 14 [8704/47500]	Loss: 1.0719	LR: 0.100000
Training Epoch: 14 [8960/47500]	Loss: 1.0697	LR: 0.100000
Training Epoch: 14 [9216/47500]	Loss: 1.0394	LR: 0.100000
Training Epoch: 14 [9472/47500]	Loss: 1.0006	LR: 0.100000
Training Epoch: 14 [9728/47500]	Loss: 1.0602	LR: 0.100000
Training Epoch: 14 [9984/47500]	Loss: 1.0402	LR: 0.100000
Training Epoch: 14 [10240/47500]	Loss: 1.0967	LR: 0.100000
Training Epoch: 14 [10496/47500]	Loss: 1.0173	LR: 0.100000
Training Epoch: 14 [10752/47500]	Loss: 1.0123	LR: 0.100000
Training Epoch: 14 [11008/47500]	Loss: 0.9634	LR: 0.100000
Training Epoch: 14 [11264/47500]	Loss: 0.9481	LR: 0.100000
Training Epoch: 14 [11520/47500]	Loss: 1.0128	LR: 0.100000
Training Epoch: 14 [11776/47500]	Loss: 0.9354	LR: 0.100000
Training Epoch: 14 [12032/47500]	Loss: 0.9611	LR: 0.100000
Training Epoch: 14 [12288/47500]	Loss: 0.9237	LR: 0.100000
Training Epoch: 14 [12544/47500]	Loss: 0.9655	LR: 0.100000
Training Epoch: 14 [12800/47500]	Loss: 0.9331	LR: 0.100000
Training Epoch: 14 [13056/47500]	Loss: 0.9594	LR: 0.100000
Training Epoch: 14 [13312/47500]	Loss: 1.0288	LR: 0.100000
Training Epoch: 14 [13568/47500]	Loss: 1.0647	LR: 0.100000
Training Epoch: 14 [13824/47500]	Loss: 1.0562	LR: 0.100000
Training Epoch: 14 [14080/47500]	Loss: 1.0591	LR: 0.100000
Training Epoch: 14 [14336/47500]	Loss: 0.9493	LR: 0.100000
Training Epoch: 14 [14592/47500]	Loss: 0.9734	LR: 0.100000
Training Epoch: 14 [14848/47500]	Loss: 1.0012	LR: 0.100000
Training Epoch: 14 [15104/47500]	Loss: 1.0587	LR: 0.100000
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Training Epoch: 14 [15616/47500]	Loss: 0.9601	LR: 0.100000
Training Epoch: 14 [15872/47500]	Loss: 0.9962	LR: 0.100000
Training Epoch: 14 [16128/47500]	Loss: 1.0632	LR: 0.100000
Training Epoch: 14 [16384/47500]	Loss: 0.9509	LR: 0.100000
Training Epoch: 14 [16640/47500]	Loss: 1.0109	LR: 0.100000
Training Epoch: 14 [16896/47500]	Loss: 1.0514	LR: 0.100000
Training Epoch: 14 [17152/47500]	Loss: 1.0361	LR: 0.100000
Training Epoch: 14 [17408/47500]	Loss: 1.1464	LR: 0.100000
Training Epoch: 14 [17664/47500]	Loss: 0.9224	LR: 0.100000
Training Epoch: 14 [17920/47500]	Loss: 0.9825	LR: 0.100000
Training Epoch: 14 [18176/47500]	Loss: 1.0964	LR: 0.100000
Training Epoch: 14 [18432/47500]	Loss: 1.1268	LR: 0.100000
Training Epoch: 14 [18688/47500]	Loss: 0.9266	LR: 0.100000
Training Epoch: 14 [18944/47500]	Loss: 1.0769	LR: 0.100000
Training Epoch: 14 [19200/47500]	Loss: 1.0895	LR: 0.100000
Training Epoch: 14 [19456/47500]	Loss: 1.1321	LR: 0.100000
Training Epoch: 14 [19712/47500]	Loss: 0.9663	LR: 0.100000
Training Epoch: 14 [19968/47500]	Loss: 0.9247	LR: 0.100000
Training Epoch: 14 [20224/47500]	Loss: 0.9655	LR: 0.100000
Training Epoch: 14 [20480/47500]	Loss: 1.0250	LR: 0.100000
Training Epoch: 14 [20736/47500]	Loss: 1.1256	LR: 0.100000
Training Epoch: 14 [20992/47500]	Loss: 0.8904	LR: 0.100000
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Training Epoch: 14 [22016/47500]	Loss: 1.0198	LR: 0.100000
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Training Epoch: 14 [22784/47500]	Loss: 1.1137	LR: 0.100000
Training Epoch: 14 [23040/47500]	Loss: 0.9495	LR: 0.100000
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Training Epoch: 14 [23552/47500]	Loss: 1.0398	LR: 0.100000
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Training Epoch: 14 [24320/47500]	Loss: 0.9933	LR: 0.100000
Training Epoch: 14 [24576/47500]	Loss: 1.1287	LR: 0.100000
Training Epoch: 14 [24832/47500]	Loss: 1.0840	LR: 0.100000
Training Epoch: 14 [25088/47500]	Loss: 0.9239	LR: 0.100000
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Training Epoch: 14 [25856/47500]	Loss: 1.0647	LR: 0.100000
Training Epoch: 14 [26112/47500]	Loss: 1.0791	LR: 0.100000
Training Epoch: 14 [26368/47500]	Loss: 1.1252	LR: 0.100000
Training Epoch: 14 [26624/47500]	Loss: 0.9249	LR: 0.100000
Training Epoch: 14 [26880/47500]	Loss: 1.0160	LR: 0.100000
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Training Epoch: 14 [27392/47500]	Loss: 0.9733	LR: 0.100000
Training Epoch: 14 [27648/47500]	Loss: 1.0220	LR: 0.100000
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Training Epoch: 14 [29184/47500]	Loss: 0.9874	LR: 0.100000
Training Epoch: 14 [29440/47500]	Loss: 0.9227	LR: 0.100000
Training Epoch: 14 [29696/47500]	Loss: 0.9685	LR: 0.100000
Training Epoch: 14 [29952/47500]	Loss: 1.0233	LR: 0.100000
Training Epoch: 14 [30208/47500]	Loss: 1.1948	LR: 0.100000
Training Epoch: 14 [30464/47500]	Loss: 1.0319	LR: 0.100000
Training Epoch: 14 [30720/47500]	Loss: 0.9507	LR: 0.100000
Training Epoch: 14 [30976/47500]	Loss: 0.9133	LR: 0.100000
Training Epoch: 14 [31232/47500]	Loss: 1.1477	LR: 0.100000
Training Epoch: 14 [31488/47500]	Loss: 1.0226	LR: 0.100000
Training Epoch: 14 [31744/47500]	Loss: 0.8905	LR: 0.100000
Training Epoch: 14 [32000/47500]	Loss: 1.1215	LR: 0.100000
Training Epoch: 14 [32256/47500]	Loss: 0.9766	LR: 0.100000
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Training Epoch: 14 [33536/47500]	Loss: 1.0518	LR: 0.100000
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Training Epoch: 14 [47500/47500]	Loss: 1.0983	LR: 0.100000
Epoch 14 - Average Train Loss: 1.0109, Train Accuracy: 0.6753
Epoch 14 training time consumed: 25.92s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0060, Accuracy: 0.5736, Time consumed:0.90s
Training Epoch: 15 [256/47500]	Loss: 0.8225	LR: 0.020000
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Training Epoch: 15 [47500/47500]	Loss: 0.7121	LR: 0.020000
Epoch 15 - Average Train Loss: 0.7823, Train Accuracy: 0.7508
Epoch 15 training time consumed: 25.94s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0033, Accuracy: 0.7371, Time consumed:0.89s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_22h_16m_46s/AllCNN-Cifar20-seed6-ret50-15-best.pth
Training Epoch: 16 [256/47500]	Loss: 0.7462	LR: 0.020000
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Training Epoch: 16 [14336/47500]	Loss: 0.6527	LR: 0.020000
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Training Epoch: 16 [16896/47500]	Loss: 0.6153	LR: 0.020000
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Training Epoch: 16 [19712/47500]	Loss: 0.6842	LR: 0.020000
Training Epoch: 16 [19968/47500]	Loss: 0.7748	LR: 0.020000
Training Epoch: 16 [20224/47500]	Loss: 0.8106	LR: 0.020000
Training Epoch: 16 [20480/47500]	Loss: 0.7253	LR: 0.020000
Training Epoch: 16 [20736/47500]	Loss: 0.6955	LR: 0.020000
Training Epoch: 16 [20992/47500]	Loss: 0.8423	LR: 0.020000
Training Epoch: 16 [21248/47500]	Loss: 0.7249	LR: 0.020000
Training Epoch: 16 [21504/47500]	Loss: 0.7164	LR: 0.020000
Training Epoch: 16 [21760/47500]	Loss: 0.6819	LR: 0.020000
Training Epoch: 16 [22016/47500]	Loss: 0.8271	LR: 0.020000
Training Epoch: 16 [22272/47500]	Loss: 0.7437	LR: 0.020000
Training Epoch: 16 [22528/47500]	Loss: 0.7054	LR: 0.020000
Training Epoch: 16 [22784/47500]	Loss: 0.6181	LR: 0.020000
Training Epoch: 16 [23040/47500]	Loss: 0.6877	LR: 0.020000
Training Epoch: 16 [23296/47500]	Loss: 0.6640	LR: 0.020000
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Training Epoch: 16 [23808/47500]	Loss: 0.6410	LR: 0.020000
Training Epoch: 16 [24064/47500]	Loss: 0.7217	LR: 0.020000
Training Epoch: 16 [24320/47500]	Loss: 0.6535	LR: 0.020000
Training Epoch: 16 [24576/47500]	Loss: 0.6920	LR: 0.020000
Training Epoch: 16 [24832/47500]	Loss: 0.6643	LR: 0.020000
Training Epoch: 16 [25088/47500]	Loss: 0.7175	LR: 0.020000
Training Epoch: 16 [25344/47500]	Loss: 0.7707	LR: 0.020000
Training Epoch: 16 [25600/47500]	Loss: 0.6528	LR: 0.020000
Training Epoch: 16 [25856/47500]	Loss: 0.6630	LR: 0.020000
Training Epoch: 16 [26112/47500]	Loss: 0.7197	LR: 0.020000
Training Epoch: 16 [26368/47500]	Loss: 0.7933	LR: 0.020000
Training Epoch: 16 [26624/47500]	Loss: 0.6880	LR: 0.020000
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Training Epoch: 16 [27136/47500]	Loss: 0.7662	LR: 0.020000
Training Epoch: 16 [27392/47500]	Loss: 0.7721	LR: 0.020000
Training Epoch: 16 [27648/47500]	Loss: 0.6960	LR: 0.020000
Training Epoch: 16 [27904/47500]	Loss: 0.7859	LR: 0.020000
Training Epoch: 16 [28160/47500]	Loss: 0.6834	LR: 0.020000
Training Epoch: 16 [28416/47500]	Loss: 0.8186	LR: 0.020000
Training Epoch: 16 [28672/47500]	Loss: 0.6755	LR: 0.020000
Training Epoch: 16 [28928/47500]	Loss: 0.7542	LR: 0.020000
Training Epoch: 16 [29184/47500]	Loss: 0.6749	LR: 0.020000
Training Epoch: 16 [29440/47500]	Loss: 0.6558	LR: 0.020000
Training Epoch: 16 [29696/47500]	Loss: 0.6812	LR: 0.020000
Training Epoch: 16 [29952/47500]	Loss: 0.6092	LR: 0.020000
Training Epoch: 16 [30208/47500]	Loss: 0.6580	LR: 0.020000
Training Epoch: 16 [30464/47500]	Loss: 0.5912	LR: 0.020000
Training Epoch: 16 [30720/47500]	Loss: 0.7125	LR: 0.020000
Training Epoch: 16 [30976/47500]	Loss: 0.6392	LR: 0.020000
Training Epoch: 16 [31232/47500]	Loss: 0.6342	LR: 0.020000
Training Epoch: 16 [31488/47500]	Loss: 0.7024	LR: 0.020000
Training Epoch: 16 [31744/47500]	Loss: 0.8497	LR: 0.020000
Training Epoch: 16 [32000/47500]	Loss: 0.6641	LR: 0.020000
Training Epoch: 16 [32256/47500]	Loss: 0.7243	LR: 0.020000
Training Epoch: 16 [32512/47500]	Loss: 0.7399	LR: 0.020000
Training Epoch: 16 [32768/47500]	Loss: 0.7267	LR: 0.020000
Training Epoch: 16 [33024/47500]	Loss: 0.6613	LR: 0.020000
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Training Epoch: 16 [34560/47500]	Loss: 0.7730	LR: 0.020000
Training Epoch: 16 [34816/47500]	Loss: 0.6130	LR: 0.020000
Training Epoch: 16 [35072/47500]	Loss: 0.6008	LR: 0.020000
Training Epoch: 16 [35328/47500]	Loss: 0.7416	LR: 0.020000
Training Epoch: 16 [35584/47500]	Loss: 0.6425	LR: 0.020000
Training Epoch: 16 [35840/47500]	Loss: 0.7368	LR: 0.020000
Training Epoch: 16 [36096/47500]	Loss: 0.6661	LR: 0.020000
Training Epoch: 16 [36352/47500]	Loss: 0.6149	LR: 0.020000
Training Epoch: 16 [36608/47500]	Loss: 0.7757	LR: 0.020000
Training Epoch: 16 [36864/47500]	Loss: 0.7521	LR: 0.020000
Training Epoch: 16 [37120/47500]	Loss: 0.7583	LR: 0.020000
Training Epoch: 16 [37376/47500]	Loss: 0.7614	LR: 0.020000
Training Epoch: 16 [37632/47500]	Loss: 0.6296	LR: 0.020000
Training Epoch: 16 [37888/47500]	Loss: 0.6496	LR: 0.020000
Training Epoch: 16 [38144/47500]	Loss: 0.6772	LR: 0.020000
Training Epoch: 16 [38400/47500]	Loss: 0.7845	LR: 0.020000
Training Epoch: 16 [38656/47500]	Loss: 0.6287	LR: 0.020000
Training Epoch: 16 [38912/47500]	Loss: 0.6491	LR: 0.020000
Training Epoch: 16 [39168/47500]	Loss: 0.7640	LR: 0.020000
Training Epoch: 16 [39424/47500]	Loss: 0.6872	LR: 0.020000
Training Epoch: 16 [39680/47500]	Loss: 0.7369	LR: 0.020000
Training Epoch: 16 [39936/47500]	Loss: 0.5858	LR: 0.020000
Training Epoch: 16 [40192/47500]	Loss: 0.6718	LR: 0.020000
Training Epoch: 16 [40448/47500]	Loss: 0.6873	LR: 0.020000
Training Epoch: 16 [40704/47500]	Loss: 0.8252	LR: 0.020000
Training Epoch: 16 [40960/47500]	Loss: 0.7087	LR: 0.020000
Training Epoch: 16 [41216/47500]	Loss: 0.6068	LR: 0.020000
Training Epoch: 16 [41472/47500]	Loss: 0.7497	LR: 0.020000
Training Epoch: 16 [41728/47500]	Loss: 0.7124	LR: 0.020000
Training Epoch: 16 [41984/47500]	Loss: 0.6836	LR: 0.020000
Training Epoch: 16 [42240/47500]	Loss: 0.7072	LR: 0.020000
Training Epoch: 16 [42496/47500]	Loss: 0.7223	LR: 0.020000
Training Epoch: 16 [42752/47500]	Loss: 0.7526	LR: 0.020000
Training Epoch: 16 [43008/47500]	Loss: 0.6886	LR: 0.020000
Training Epoch: 16 [43264/47500]	Loss: 0.7570	LR: 0.020000
Training Epoch: 16 [43520/47500]	Loss: 0.7604	LR: 0.020000
Training Epoch: 16 [43776/47500]	Loss: 0.6933	LR: 0.020000
Training Epoch: 16 [44032/47500]	Loss: 0.6815	LR: 0.020000
Training Epoch: 16 [44288/47500]	Loss: 0.6753	LR: 0.020000
Training Epoch: 16 [44544/47500]	Loss: 0.7045	LR: 0.020000
Training Epoch: 16 [44800/47500]	Loss: 0.7192	LR: 0.020000
Training Epoch: 16 [45056/47500]	Loss: 0.5444	LR: 0.020000
Training Epoch: 16 [45312/47500]	Loss: 0.7190	LR: 0.020000
Training Epoch: 16 [45568/47500]	Loss: 0.7038	LR: 0.020000
Training Epoch: 16 [45824/47500]	Loss: 0.7641	LR: 0.020000
Training Epoch: 16 [46080/47500]	Loss: 0.7391	LR: 0.020000
Training Epoch: 16 [46336/47500]	Loss: 0.7795	LR: 0.020000
Training Epoch: 16 [46592/47500]	Loss: 0.7217	LR: 0.020000
Training Epoch: 16 [46848/47500]	Loss: 0.6891	LR: 0.020000
Training Epoch: 16 [47104/47500]	Loss: 0.7689	LR: 0.020000
Training Epoch: 16 [47360/47500]	Loss: 0.7688	LR: 0.020000
Training Epoch: 16 [47500/47500]	Loss: 0.6683	LR: 0.020000
Epoch 16 - Average Train Loss: 0.7047, Train Accuracy: 0.7744
Epoch 16 training time consumed: 25.90s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0034, Accuracy: 0.7368, Time consumed:0.87s
Training Epoch: 17 [256/47500]	Loss: 0.6596	LR: 0.020000
Training Epoch: 17 [512/47500]	Loss: 0.6201	LR: 0.020000
Training Epoch: 17 [768/47500]	Loss: 0.7076	LR: 0.020000
Training Epoch: 17 [1024/47500]	Loss: 0.7900	LR: 0.020000
Training Epoch: 17 [1280/47500]	Loss: 0.6085	LR: 0.020000
Training Epoch: 17 [1536/47500]	Loss: 0.7384	LR: 0.020000
Training Epoch: 17 [1792/47500]	Loss: 0.7095	LR: 0.020000
Training Epoch: 17 [2048/47500]	Loss: 0.6750	LR: 0.020000
Training Epoch: 17 [2304/47500]	Loss: 0.6529	LR: 0.020000
Training Epoch: 17 [2560/47500]	Loss: 0.6260	LR: 0.020000
Training Epoch: 17 [2816/47500]	Loss: 0.7032	LR: 0.020000
Training Epoch: 17 [3072/47500]	Loss: 0.6208	LR: 0.020000
Training Epoch: 17 [3328/47500]	Loss: 0.6640	LR: 0.020000
Training Epoch: 17 [3584/47500]	Loss: 0.5490	LR: 0.020000
Training Epoch: 17 [3840/47500]	Loss: 0.6999	LR: 0.020000
Training Epoch: 17 [4096/47500]	Loss: 0.6075	LR: 0.020000
Training Epoch: 17 [4352/47500]	Loss: 0.7301	LR: 0.020000
Training Epoch: 17 [4608/47500]	Loss: 0.7489	LR: 0.020000
Training Epoch: 17 [4864/47500]	Loss: 0.7303	LR: 0.020000
Training Epoch: 17 [5120/47500]	Loss: 0.6724	LR: 0.020000
Training Epoch: 17 [5376/47500]	Loss: 0.6513	LR: 0.020000
Training Epoch: 17 [5632/47500]	Loss: 0.6033	LR: 0.020000
Training Epoch: 17 [5888/47500]	Loss: 0.6573	LR: 0.020000
Training Epoch: 17 [6144/47500]	Loss: 0.6718	LR: 0.020000
Training Epoch: 17 [6400/47500]	Loss: 0.7190	LR: 0.020000
Training Epoch: 17 [6656/47500]	Loss: 0.6499	LR: 0.020000
Training Epoch: 17 [6912/47500]	Loss: 0.6267	LR: 0.020000
Training Epoch: 17 [7168/47500]	Loss: 0.6164	LR: 0.020000
Training Epoch: 17 [7424/47500]	Loss: 0.6571	LR: 0.020000
Training Epoch: 17 [7680/47500]	Loss: 0.7593	LR: 0.020000
Training Epoch: 17 [7936/47500]	Loss: 0.7920	LR: 0.020000
Training Epoch: 17 [8192/47500]	Loss: 0.6245	LR: 0.020000
Training Epoch: 17 [8448/47500]	Loss: 0.6072	LR: 0.020000
Training Epoch: 17 [8704/47500]	Loss: 0.7643	LR: 0.020000
Training Epoch: 17 [8960/47500]	Loss: 0.6684	LR: 0.020000
Training Epoch: 17 [9216/47500]	Loss: 0.7013	LR: 0.020000
Training Epoch: 17 [9472/47500]	Loss: 0.7132	LR: 0.020000
Training Epoch: 17 [9728/47500]	Loss: 0.6491	LR: 0.020000
Training Epoch: 17 [9984/47500]	Loss: 0.7004	LR: 0.020000
Training Epoch: 17 [10240/47500]	Loss: 0.6587	LR: 0.020000
Training Epoch: 17 [10496/47500]	Loss: 0.7328	LR: 0.020000
Training Epoch: 17 [10752/47500]	Loss: 0.6885	LR: 0.020000
Training Epoch: 17 [11008/47500]	Loss: 0.6014	LR: 0.020000
Training Epoch: 17 [11264/47500]	Loss: 0.5914	LR: 0.020000
Training Epoch: 17 [11520/47500]	Loss: 0.6437	LR: 0.020000
Training Epoch: 17 [11776/47500]	Loss: 0.6456	LR: 0.020000
Training Epoch: 17 [12032/47500]	Loss: 0.6077	LR: 0.020000
Training Epoch: 17 [12288/47500]	Loss: 0.7111	LR: 0.020000
Training Epoch: 17 [12544/47500]	Loss: 0.6097	LR: 0.020000
Training Epoch: 17 [12800/47500]	Loss: 0.6175	LR: 0.020000
Training Epoch: 17 [13056/47500]	Loss: 0.6400	LR: 0.020000
Training Epoch: 17 [13312/47500]	Loss: 0.7090	LR: 0.020000
Training Epoch: 17 [13568/47500]	Loss: 0.6301	LR: 0.020000
Training Epoch: 17 [13824/47500]	Loss: 0.6487	LR: 0.020000
Training Epoch: 17 [14080/47500]	Loss: 0.6629	LR: 0.020000
Training Epoch: 17 [14336/47500]	Loss: 0.6081	LR: 0.020000
Training Epoch: 17 [14592/47500]	Loss: 0.7010	LR: 0.020000
Training Epoch: 17 [14848/47500]	Loss: 0.7645	LR: 0.020000
Training Epoch: 17 [15104/47500]	Loss: 0.6757	LR: 0.020000
Training Epoch: 17 [15360/47500]	Loss: 0.8335	LR: 0.020000
Training Epoch: 17 [15616/47500]	Loss: 0.7144	LR: 0.020000
Training Epoch: 17 [15872/47500]	Loss: 0.6366	LR: 0.020000
Training Epoch: 17 [16128/47500]	Loss: 0.6901	LR: 0.020000
Training Epoch: 17 [16384/47500]	Loss: 0.6477	LR: 0.020000
Training Epoch: 17 [16640/47500]	Loss: 0.7146	LR: 0.020000
Training Epoch: 17 [16896/47500]	Loss: 0.7142	LR: 0.020000
Training Epoch: 17 [17152/47500]	Loss: 0.6513	LR: 0.020000
Training Epoch: 17 [17408/47500]	Loss: 0.6225	LR: 0.020000
Training Epoch: 17 [17664/47500]	Loss: 0.6960	LR: 0.020000
Training Epoch: 17 [17920/47500]	Loss: 0.6935	LR: 0.020000
Training Epoch: 17 [18176/47500]	Loss: 0.6333	LR: 0.020000
Training Epoch: 17 [18432/47500]	Loss: 0.6671	LR: 0.020000
Training Epoch: 17 [18688/47500]	Loss: 0.6795	LR: 0.020000
Training Epoch: 17 [18944/47500]	Loss: 0.6237	LR: 0.020000
Training Epoch: 17 [19200/47500]	Loss: 0.6255	LR: 0.020000
Training Epoch: 17 [19456/47500]	Loss: 0.5997	LR: 0.020000
Training Epoch: 17 [19712/47500]	Loss: 0.6408	LR: 0.020000
Training Epoch: 17 [19968/47500]	Loss: 0.6910	LR: 0.020000
Training Epoch: 17 [20224/47500]	Loss: 0.6663	LR: 0.020000
Training Epoch: 17 [20480/47500]	Loss: 0.7138	LR: 0.020000
Training Epoch: 17 [20736/47500]	Loss: 0.6340	LR: 0.020000
Training Epoch: 17 [20992/47500]	Loss: 0.7290	LR: 0.020000
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Training Epoch: 17 [21504/47500]	Loss: 0.7030	LR: 0.020000
Training Epoch: 17 [21760/47500]	Loss: 0.6883	LR: 0.020000
Training Epoch: 17 [22016/47500]	Loss: 0.7105	LR: 0.020000
Training Epoch: 17 [22272/47500]	Loss: 0.6495	LR: 0.020000
Training Epoch: 17 [22528/47500]	Loss: 0.6939	LR: 0.020000
Training Epoch: 17 [22784/47500]	Loss: 0.6239	LR: 0.020000
Training Epoch: 17 [23040/47500]	Loss: 0.6487	LR: 0.020000
Training Epoch: 17 [23296/47500]	Loss: 0.6898	LR: 0.020000
Training Epoch: 17 [23552/47500]	Loss: 0.7451	LR: 0.020000
Training Epoch: 17 [23808/47500]	Loss: 0.6603	LR: 0.020000
Training Epoch: 17 [24064/47500]	Loss: 0.6270	LR: 0.020000
Training Epoch: 17 [24320/47500]	Loss: 0.6610	LR: 0.020000
Training Epoch: 17 [24576/47500]	Loss: 0.7032	LR: 0.020000
Training Epoch: 17 [24832/47500]	Loss: 0.6315	LR: 0.020000
Training Epoch: 17 [25088/47500]	Loss: 0.6852	LR: 0.020000
Training Epoch: 17 [25344/47500]	Loss: 0.8074	LR: 0.020000
Training Epoch: 17 [25600/47500]	Loss: 0.6144	LR: 0.020000
Training Epoch: 17 [25856/47500]	Loss: 0.7367	LR: 0.020000
Training Epoch: 17 [26112/47500]	Loss: 0.7175	LR: 0.020000
Training Epoch: 17 [26368/47500]	Loss: 0.5657	LR: 0.020000
Training Epoch: 17 [26624/47500]	Loss: 0.6723	LR: 0.020000
Training Epoch: 17 [26880/47500]	Loss: 0.7278	LR: 0.020000
Training Epoch: 17 [27136/47500]	Loss: 0.6203	LR: 0.020000
Training Epoch: 17 [27392/47500]	Loss: 0.6801	LR: 0.020000
Training Epoch: 17 [27648/47500]	Loss: 0.6956	LR: 0.020000
Training Epoch: 17 [27904/47500]	Loss: 0.5690	LR: 0.020000
Training Epoch: 17 [28160/47500]	Loss: 0.6730	LR: 0.020000
Training Epoch: 17 [28416/47500]	Loss: 0.6850	LR: 0.020000
Training Epoch: 17 [28672/47500]	Loss: 0.7064	LR: 0.020000
Training Epoch: 17 [28928/47500]	Loss: 0.7062	LR: 0.020000
Training Epoch: 17 [29184/47500]	Loss: 0.6750	LR: 0.020000
Training Epoch: 17 [29440/47500]	Loss: 0.6396	LR: 0.020000
Training Epoch: 17 [29696/47500]	Loss: 0.6660	LR: 0.020000
Training Epoch: 17 [29952/47500]	Loss: 0.7185	LR: 0.020000
Training Epoch: 17 [30208/47500]	Loss: 0.6688	LR: 0.020000
Training Epoch: 17 [30464/47500]	Loss: 0.6287	LR: 0.020000
Training Epoch: 17 [30720/47500]	Loss: 0.7021	LR: 0.020000
Training Epoch: 17 [30976/47500]	Loss: 0.6071	LR: 0.020000
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Training Epoch: 17 [31744/47500]	Loss: 0.5489	LR: 0.020000
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Training Epoch: 17 [32256/47500]	Loss: 0.7590	LR: 0.020000
Training Epoch: 17 [32512/47500]	Loss: 0.5306	LR: 0.020000
Training Epoch: 17 [32768/47500]	Loss: 0.8273	LR: 0.020000
Training Epoch: 17 [33024/47500]	Loss: 0.8508	LR: 0.020000
Training Epoch: 17 [33280/47500]	Loss: 0.6973	LR: 0.020000
Training Epoch: 17 [33536/47500]	Loss: 0.7147	LR: 0.020000
Training Epoch: 17 [33792/47500]	Loss: 0.7279	LR: 0.020000
Training Epoch: 17 [34048/47500]	Loss: 0.8569	LR: 0.020000
Training Epoch: 17 [34304/47500]	Loss: 0.7113	LR: 0.020000
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Training Epoch: 17 [34816/47500]	Loss: 0.7799	LR: 0.020000
Training Epoch: 17 [35072/47500]	Loss: 0.7304	LR: 0.020000
Training Epoch: 17 [35328/47500]	Loss: 0.6191	LR: 0.020000
Training Epoch: 17 [35584/47500]	Loss: 0.8234	LR: 0.020000
Training Epoch: 17 [35840/47500]	Loss: 0.5813	LR: 0.020000
Training Epoch: 17 [36096/47500]	Loss: 0.5311	LR: 0.020000
Training Epoch: 17 [36352/47500]	Loss: 0.6849	LR: 0.020000
Training Epoch: 17 [36608/47500]	Loss: 0.6967	LR: 0.020000
Training Epoch: 17 [36864/47500]	Loss: 0.7202	LR: 0.020000
Training Epoch: 17 [37120/47500]	Loss: 0.6815	LR: 0.020000
Training Epoch: 17 [37376/47500]	Loss: 0.6449	LR: 0.020000
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Training Epoch: 17 [47500/47500]	Loss: 0.9336	LR: 0.020000
Epoch 17 - Average Train Loss: 0.6743, Train Accuracy: 0.7839
Epoch 17 training time consumed: 26.10s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0033, Accuracy: 0.7399, Time consumed:0.89s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_22h_16m_46s/AllCNN-Cifar20-seed6-ret50-17-best.pth
Training Epoch: 18 [256/47500]	Loss: 0.6439	LR: 0.020000
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Training Epoch: 18 [47500/47500]	Loss: 0.6674	LR: 0.020000
Epoch 18 - Average Train Loss: 0.6562, Train Accuracy: 0.7882
Epoch 18 training time consumed: 26.05s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0033, Accuracy: 0.7379, Time consumed:0.87s
Training Epoch: 19 [256/47500]	Loss: 0.6066	LR: 0.020000
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Training Epoch: 19 [14592/47500]	Loss: 0.6213	LR: 0.020000
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Training Epoch: 19 [15104/47500]	Loss: 0.6191	LR: 0.020000
Training Epoch: 19 [15360/47500]	Loss: 0.6902	LR: 0.020000
Training Epoch: 19 [15616/47500]	Loss: 0.5865	LR: 0.020000
Training Epoch: 19 [15872/47500]	Loss: 0.6120	LR: 0.020000
Training Epoch: 19 [16128/47500]	Loss: 0.6211	LR: 0.020000
Training Epoch: 19 [16384/47500]	Loss: 0.5514	LR: 0.020000
Training Epoch: 19 [16640/47500]	Loss: 0.7220	LR: 0.020000
Training Epoch: 19 [16896/47500]	Loss: 0.5192	LR: 0.020000
Training Epoch: 19 [17152/47500]	Loss: 0.6923	LR: 0.020000
Training Epoch: 19 [17408/47500]	Loss: 0.6011	LR: 0.020000
Training Epoch: 19 [17664/47500]	Loss: 0.5531	LR: 0.020000
Training Epoch: 19 [17920/47500]	Loss: 0.6918	LR: 0.020000
Training Epoch: 19 [18176/47500]	Loss: 0.6736	LR: 0.020000
Training Epoch: 19 [18432/47500]	Loss: 0.6897	LR: 0.020000
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Training Epoch: 19 [18944/47500]	Loss: 0.6540	LR: 0.020000
Training Epoch: 19 [19200/47500]	Loss: 0.7265	LR: 0.020000
Training Epoch: 19 [19456/47500]	Loss: 0.6578	LR: 0.020000
Training Epoch: 19 [19712/47500]	Loss: 0.6551	LR: 0.020000
Training Epoch: 19 [19968/47500]	Loss: 0.6027	LR: 0.020000
Training Epoch: 19 [20224/47500]	Loss: 0.5275	LR: 0.020000
Training Epoch: 19 [20480/47500]	Loss: 0.6583	LR: 0.020000
Training Epoch: 19 [20736/47500]	Loss: 0.5867	LR: 0.020000
Training Epoch: 19 [20992/47500]	Loss: 0.4838	LR: 0.020000
Training Epoch: 19 [21248/47500]	Loss: 0.6830	LR: 0.020000
Training Epoch: 19 [21504/47500]	Loss: 0.6951	LR: 0.020000
Training Epoch: 19 [21760/47500]	Loss: 0.6220	LR: 0.020000
Training Epoch: 19 [22016/47500]	Loss: 0.5903	LR: 0.020000
Training Epoch: 19 [22272/47500]	Loss: 0.6012	LR: 0.020000
Training Epoch: 19 [22528/47500]	Loss: 0.6399	LR: 0.020000
Training Epoch: 19 [22784/47500]	Loss: 0.5128	LR: 0.020000
Training Epoch: 19 [23040/47500]	Loss: 0.5530	LR: 0.020000
Training Epoch: 19 [23296/47500]	Loss: 0.6750	LR: 0.020000
Training Epoch: 19 [23552/47500]	Loss: 0.5656	LR: 0.020000
Training Epoch: 19 [23808/47500]	Loss: 0.5488	LR: 0.020000
Training Epoch: 19 [24064/47500]	Loss: 0.5862	LR: 0.020000
Training Epoch: 19 [24320/47500]	Loss: 0.5960	LR: 0.020000
Training Epoch: 19 [24576/47500]	Loss: 0.5923	LR: 0.020000
Training Epoch: 19 [24832/47500]	Loss: 0.6817	LR: 0.020000
Training Epoch: 19 [25088/47500]	Loss: 0.4739	LR: 0.020000
Training Epoch: 19 [25344/47500]	Loss: 0.7133	LR: 0.020000
Training Epoch: 19 [25600/47500]	Loss: 0.6897	LR: 0.020000
Training Epoch: 19 [25856/47500]	Loss: 0.5964	LR: 0.020000
Training Epoch: 19 [26112/47500]	Loss: 0.6631	LR: 0.020000
Training Epoch: 19 [26368/47500]	Loss: 0.6397	LR: 0.020000
Training Epoch: 19 [26624/47500]	Loss: 0.6180	LR: 0.020000
Training Epoch: 19 [26880/47500]	Loss: 0.6021	LR: 0.020000
Training Epoch: 19 [27136/47500]	Loss: 0.7056	LR: 0.020000
Training Epoch: 19 [27392/47500]	Loss: 0.6610	LR: 0.020000
Training Epoch: 19 [27648/47500]	Loss: 0.5884	LR: 0.020000
Training Epoch: 19 [27904/47500]	Loss: 0.6292	LR: 0.020000
Training Epoch: 19 [28160/47500]	Loss: 0.6286	LR: 0.020000
Training Epoch: 19 [28416/47500]	Loss: 0.7046	LR: 0.020000
Training Epoch: 19 [28672/47500]	Loss: 0.6590	LR: 0.020000
Training Epoch: 19 [28928/47500]	Loss: 0.5532	LR: 0.020000
Training Epoch: 19 [29184/47500]	Loss: 0.6825	LR: 0.020000
Training Epoch: 19 [29440/47500]	Loss: 0.7167	LR: 0.020000
Training Epoch: 19 [29696/47500]	Loss: 0.6814	LR: 0.020000
Training Epoch: 19 [29952/47500]	Loss: 0.5077	LR: 0.020000
Training Epoch: 19 [30208/47500]	Loss: 0.6189	LR: 0.020000
Training Epoch: 19 [30464/47500]	Loss: 0.5647	LR: 0.020000
Training Epoch: 19 [30720/47500]	Loss: 0.6105	LR: 0.020000
Training Epoch: 19 [30976/47500]	Loss: 0.7183	LR: 0.020000
Training Epoch: 19 [31232/47500]	Loss: 0.6574	LR: 0.020000
Training Epoch: 19 [31488/47500]	Loss: 0.5442	LR: 0.020000
Training Epoch: 19 [31744/47500]	Loss: 0.6938	LR: 0.020000
Training Epoch: 19 [32000/47500]	Loss: 0.7686	LR: 0.020000
Training Epoch: 19 [32256/47500]	Loss: 0.5779	LR: 0.020000
Training Epoch: 19 [32512/47500]	Loss: 0.4989	LR: 0.020000
Training Epoch: 19 [32768/47500]	Loss: 0.6220	LR: 0.020000
Training Epoch: 19 [33024/47500]	Loss: 0.6462	LR: 0.020000
Training Epoch: 19 [33280/47500]	Loss: 0.6576	LR: 0.020000
Training Epoch: 19 [33536/47500]	Loss: 0.5307	LR: 0.020000
Training Epoch: 19 [33792/47500]	Loss: 0.6851	LR: 0.020000
Training Epoch: 19 [34048/47500]	Loss: 0.6996	LR: 0.020000
Training Epoch: 19 [34304/47500]	Loss: 0.7164	LR: 0.020000
Training Epoch: 19 [34560/47500]	Loss: 0.6283	LR: 0.020000
Training Epoch: 19 [34816/47500]	Loss: 0.6884	LR: 0.020000
Training Epoch: 19 [35072/47500]	Loss: 0.6357	LR: 0.020000
Training Epoch: 19 [35328/47500]	Loss: 0.5584	LR: 0.020000
Training Epoch: 19 [35584/47500]	Loss: 0.6739	LR: 0.020000
Training Epoch: 19 [35840/47500]	Loss: 0.6599	LR: 0.020000
Training Epoch: 19 [36096/47500]	Loss: 0.7106	LR: 0.020000
Training Epoch: 19 [36352/47500]	Loss: 0.6147	LR: 0.020000
Training Epoch: 19 [36608/47500]	Loss: 0.6708	LR: 0.020000
Training Epoch: 19 [36864/47500]	Loss: 0.5652	LR: 0.020000
Training Epoch: 19 [37120/47500]	Loss: 0.5641	LR: 0.020000
Training Epoch: 19 [37376/47500]	Loss: 0.5879	LR: 0.020000
Training Epoch: 19 [37632/47500]	Loss: 0.6072	LR: 0.020000
Training Epoch: 19 [37888/47500]	Loss: 0.5742	LR: 0.020000
Training Epoch: 19 [38144/47500]	Loss: 0.5673	LR: 0.020000
Training Epoch: 19 [38400/47500]	Loss: 0.6846	LR: 0.020000
Training Epoch: 19 [38656/47500]	Loss: 0.5802	LR: 0.020000
Training Epoch: 19 [38912/47500]	Loss: 0.7291	LR: 0.020000
Training Epoch: 19 [39168/47500]	Loss: 0.6761	LR: 0.020000
Training Epoch: 19 [39424/47500]	Loss: 0.6808	LR: 0.020000
Training Epoch: 19 [39680/47500]	Loss: 0.6714	LR: 0.020000
Training Epoch: 19 [39936/47500]	Loss: 0.7286	LR: 0.020000
Training Epoch: 19 [40192/47500]	Loss: 0.5809	LR: 0.020000
Training Epoch: 19 [40448/47500]	Loss: 0.6780	LR: 0.020000
Training Epoch: 19 [40704/47500]	Loss: 0.5434	LR: 0.020000
Training Epoch: 19 [40960/47500]	Loss: 0.6796	LR: 0.020000
Training Epoch: 19 [41216/47500]	Loss: 0.6235	LR: 0.020000
Training Epoch: 19 [41472/47500]	Loss: 0.6651	LR: 0.020000
Training Epoch: 19 [41728/47500]	Loss: 0.6733	LR: 0.020000
Training Epoch: 19 [41984/47500]	Loss: 0.6032	LR: 0.020000
Training Epoch: 19 [42240/47500]	Loss: 0.5369	LR: 0.020000
Training Epoch: 19 [42496/47500]	Loss: 0.6302	LR: 0.020000
Training Epoch: 19 [42752/47500]	Loss: 0.6104	LR: 0.020000
Training Epoch: 19 [43008/47500]	Loss: 0.6866	LR: 0.020000
Training Epoch: 19 [43264/47500]	Loss: 0.7190	LR: 0.020000
Training Epoch: 19 [43520/47500]	Loss: 0.6706	LR: 0.020000
Training Epoch: 19 [43776/47500]	Loss: 0.7297	LR: 0.020000
Training Epoch: 19 [44032/47500]	Loss: 0.6322	LR: 0.020000
Training Epoch: 19 [44288/47500]	Loss: 0.5730	LR: 0.020000
Training Epoch: 19 [44544/47500]	Loss: 0.7774	LR: 0.020000
Training Epoch: 19 [44800/47500]	Loss: 0.7836	LR: 0.020000
Training Epoch: 19 [45056/47500]	Loss: 0.6768	LR: 0.020000
Training Epoch: 19 [45312/47500]	Loss: 0.6016	LR: 0.020000
Training Epoch: 19 [45568/47500]	Loss: 0.6667	LR: 0.020000
Training Epoch: 19 [45824/47500]	Loss: 0.6192	LR: 0.020000
Training Epoch: 19 [46080/47500]	Loss: 0.5680	LR: 0.020000
Training Epoch: 19 [46336/47500]	Loss: 0.8124	LR: 0.020000
Training Epoch: 19 [46592/47500]	Loss: 0.7203	LR: 0.020000
Training Epoch: 19 [46848/47500]	Loss: 0.6659	LR: 0.020000
Training Epoch: 19 [47104/47500]	Loss: 0.6496	LR: 0.020000
Training Epoch: 19 [47360/47500]	Loss: 0.6194	LR: 0.020000
Training Epoch: 19 [47500/47500]	Loss: 0.6933	LR: 0.020000
Epoch 19 - Average Train Loss: 0.6327, Train Accuracy: 0.7983
Epoch 19 training time consumed: 26.53s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0034, Accuracy: 0.7380, Time consumed:0.88s
Training Epoch: 20 [256/47500]	Loss: 0.5849	LR: 0.020000
Training Epoch: 20 [512/47500]	Loss: 0.6172	LR: 0.020000
Training Epoch: 20 [768/47500]	Loss: 0.4902	LR: 0.020000
Training Epoch: 20 [1024/47500]	Loss: 0.6261	LR: 0.020000
Training Epoch: 20 [1280/47500]	Loss: 0.5988	LR: 0.020000
Training Epoch: 20 [1536/47500]	Loss: 0.5208	LR: 0.020000
Training Epoch: 20 [1792/47500]	Loss: 0.5697	LR: 0.020000
Training Epoch: 20 [2048/47500]	Loss: 0.6097	LR: 0.020000
Training Epoch: 20 [2304/47500]	Loss: 0.6304	LR: 0.020000
Training Epoch: 20 [2560/47500]	Loss: 0.6810	LR: 0.020000
Training Epoch: 20 [2816/47500]	Loss: 0.6100	LR: 0.020000
Training Epoch: 20 [3072/47500]	Loss: 0.6037	LR: 0.020000
Training Epoch: 20 [3328/47500]	Loss: 0.6556	LR: 0.020000
Training Epoch: 20 [3584/47500]	Loss: 0.6710	LR: 0.020000
Training Epoch: 20 [3840/47500]	Loss: 0.5947	LR: 0.020000
Training Epoch: 20 [4096/47500]	Loss: 0.5322	LR: 0.020000
Training Epoch: 20 [4352/47500]	Loss: 0.5597	LR: 0.020000
Training Epoch: 20 [4608/47500]	Loss: 0.5122	LR: 0.020000
Training Epoch: 20 [4864/47500]	Loss: 0.6359	LR: 0.020000
Training Epoch: 20 [5120/47500]	Loss: 0.4262	LR: 0.020000
Training Epoch: 20 [5376/47500]	Loss: 0.5322	LR: 0.020000
Training Epoch: 20 [5632/47500]	Loss: 0.6689	LR: 0.020000
Training Epoch: 20 [5888/47500]	Loss: 0.5471	LR: 0.020000
Training Epoch: 20 [6144/47500]	Loss: 0.5900	LR: 0.020000
Training Epoch: 20 [6400/47500]	Loss: 0.6685	LR: 0.020000
Training Epoch: 20 [6656/47500]	Loss: 0.4984	LR: 0.020000
Training Epoch: 20 [6912/47500]	Loss: 0.6205	LR: 0.020000
Training Epoch: 20 [7168/47500]	Loss: 0.6670	LR: 0.020000
Training Epoch: 20 [7424/47500]	Loss: 0.7061	LR: 0.020000
Training Epoch: 20 [7680/47500]	Loss: 0.6787	LR: 0.020000
Training Epoch: 20 [7936/47500]	Loss: 0.5972	LR: 0.020000
Training Epoch: 20 [8192/47500]	Loss: 0.6526	LR: 0.020000
Training Epoch: 20 [8448/47500]	Loss: 0.5911	LR: 0.020000
Training Epoch: 20 [8704/47500]	Loss: 0.5580	LR: 0.020000
Training Epoch: 20 [8960/47500]	Loss: 0.4778	LR: 0.020000
Training Epoch: 20 [9216/47500]	Loss: 0.6157	LR: 0.020000
Training Epoch: 20 [9472/47500]	Loss: 0.6332	LR: 0.020000
Training Epoch: 20 [9728/47500]	Loss: 0.5952	LR: 0.020000
Training Epoch: 20 [9984/47500]	Loss: 0.6311	LR: 0.020000
Training Epoch: 20 [10240/47500]	Loss: 0.7067	LR: 0.020000
Training Epoch: 20 [10496/47500]	Loss: 0.6793	LR: 0.020000
Training Epoch: 20 [10752/47500]	Loss: 0.5822	LR: 0.020000
Training Epoch: 20 [11008/47500]	Loss: 0.5801	LR: 0.020000
Training Epoch: 20 [11264/47500]	Loss: 0.5827	LR: 0.020000
Training Epoch: 20 [11520/47500]	Loss: 0.5276	LR: 0.020000
Training Epoch: 20 [11776/47500]	Loss: 0.7259	LR: 0.020000
Training Epoch: 20 [12032/47500]	Loss: 0.5799	LR: 0.020000
Training Epoch: 20 [12288/47500]	Loss: 0.6633	LR: 0.020000
Training Epoch: 20 [12544/47500]	Loss: 0.5726	LR: 0.020000
Training Epoch: 20 [12800/47500]	Loss: 0.6062	LR: 0.020000
Training Epoch: 20 [13056/47500]	Loss: 0.5675	LR: 0.020000
Training Epoch: 20 [13312/47500]	Loss: 0.6238	LR: 0.020000
Training Epoch: 20 [13568/47500]	Loss: 0.7097	LR: 0.020000
Training Epoch: 20 [13824/47500]	Loss: 0.5826	LR: 0.020000
Training Epoch: 20 [14080/47500]	Loss: 0.6768	LR: 0.020000
Training Epoch: 20 [14336/47500]	Loss: 0.5644	LR: 0.020000
Training Epoch: 20 [14592/47500]	Loss: 0.6193	LR: 0.020000
Training Epoch: 20 [14848/47500]	Loss: 0.5716	LR: 0.020000
Training Epoch: 20 [15104/47500]	Loss: 0.6024	LR: 0.020000
Training Epoch: 20 [15360/47500]	Loss: 0.6020	LR: 0.020000
Training Epoch: 20 [15616/47500]	Loss: 0.6759	LR: 0.020000
Training Epoch: 20 [15872/47500]	Loss: 0.5845	LR: 0.020000
Training Epoch: 20 [16128/47500]	Loss: 0.6083	LR: 0.020000
Training Epoch: 20 [16384/47500]	Loss: 0.6524	LR: 0.020000
Training Epoch: 20 [16640/47500]	Loss: 0.6456	LR: 0.020000
Training Epoch: 20 [16896/47500]	Loss: 0.5636	LR: 0.020000
Training Epoch: 20 [17152/47500]	Loss: 0.6212	LR: 0.020000
Training Epoch: 20 [17408/47500]	Loss: 0.5371	LR: 0.020000
Training Epoch: 20 [17664/47500]	Loss: 0.5705	LR: 0.020000
Training Epoch: 20 [17920/47500]	Loss: 0.4770	LR: 0.020000
Training Epoch: 20 [18176/47500]	Loss: 0.5016	LR: 0.020000
Training Epoch: 20 [18432/47500]	Loss: 0.5861	LR: 0.020000
Training Epoch: 20 [18688/47500]	Loss: 0.5803	LR: 0.020000
Training Epoch: 20 [18944/47500]	Loss: 0.5368	LR: 0.020000
Training Epoch: 20 [19200/47500]	Loss: 0.6226	LR: 0.020000
Training Epoch: 20 [19456/47500]	Loss: 0.6784	LR: 0.020000
Training Epoch: 20 [19712/47500]	Loss: 0.6162	LR: 0.020000
Training Epoch: 20 [19968/47500]	Loss: 0.6344	LR: 0.020000
Training Epoch: 20 [20224/47500]	Loss: 0.6435	LR: 0.020000
Training Epoch: 20 [20480/47500]	Loss: 0.6315	LR: 0.020000
Training Epoch: 20 [20736/47500]	Loss: 0.5677	LR: 0.020000
Training Epoch: 20 [20992/47500]	Loss: 0.6606	LR: 0.020000
Training Epoch: 20 [21248/47500]	Loss: 0.5767	LR: 0.020000
Training Epoch: 20 [21504/47500]	Loss: 0.5933	LR: 0.020000
Training Epoch: 20 [21760/47500]	Loss: 0.6148	LR: 0.020000
Training Epoch: 20 [22016/47500]	Loss: 0.5183	LR: 0.020000
Training Epoch: 20 [22272/47500]	Loss: 0.6724	LR: 0.020000
Training Epoch: 20 [22528/47500]	Loss: 0.6355	LR: 0.020000
Training Epoch: 20 [22784/47500]	Loss: 0.6134	LR: 0.020000
Training Epoch: 20 [23040/47500]	Loss: 0.6137	LR: 0.020000
Training Epoch: 20 [23296/47500]	Loss: 0.5825	LR: 0.020000
Training Epoch: 20 [23552/47500]	Loss: 0.5721	LR: 0.020000
Training Epoch: 20 [23808/47500]	Loss: 0.6269	LR: 0.020000
Training Epoch: 20 [24064/47500]	Loss: 0.5232	LR: 0.020000
Training Epoch: 20 [24320/47500]	Loss: 0.6250	LR: 0.020000
Training Epoch: 20 [24576/47500]	Loss: 0.5763	LR: 0.020000
Training Epoch: 20 [24832/47500]	Loss: 0.6428	LR: 0.020000
Training Epoch: 20 [25088/47500]	Loss: 0.6760	LR: 0.020000
Training Epoch: 20 [25344/47500]	Loss: 0.6323	LR: 0.020000
Training Epoch: 20 [25600/47500]	Loss: 0.6202	LR: 0.020000
Training Epoch: 20 [25856/47500]	Loss: 0.5991	LR: 0.020000
Training Epoch: 20 [26112/47500]	Loss: 0.5801	LR: 0.020000
Training Epoch: 20 [26368/47500]	Loss: 0.6216	LR: 0.020000
Training Epoch: 20 [26624/47500]	Loss: 0.6154	LR: 0.020000
Training Epoch: 20 [26880/47500]	Loss: 0.5781	LR: 0.020000
Training Epoch: 20 [27136/47500]	Loss: 0.6533	LR: 0.020000
Training Epoch: 20 [27392/47500]	Loss: 0.5380	LR: 0.020000
Training Epoch: 20 [27648/47500]	Loss: 0.6135	LR: 0.020000
Training Epoch: 20 [27904/47500]	Loss: 0.6706	LR: 0.020000
Training Epoch: 20 [28160/47500]	Loss: 0.6612	LR: 0.020000
Training Epoch: 20 [28416/47500]	Loss: 0.6573	LR: 0.020000
Training Epoch: 20 [28672/47500]	Loss: 0.6803	LR: 0.020000
Training Epoch: 20 [28928/47500]	Loss: 0.6579	LR: 0.020000
Training Epoch: 20 [29184/47500]	Loss: 0.6526	LR: 0.020000
Training Epoch: 20 [29440/47500]	Loss: 0.5986	LR: 0.020000
Training Epoch: 20 [29696/47500]	Loss: 0.6451	LR: 0.020000
Training Epoch: 20 [29952/47500]	Loss: 0.5530	LR: 0.020000
Training Epoch: 20 [30208/47500]	Loss: 0.5855	LR: 0.020000
Training Epoch: 20 [30464/47500]	Loss: 0.6589	LR: 0.020000
Training Epoch: 20 [30720/47500]	Loss: 0.6260	LR: 0.020000
Training Epoch: 20 [30976/47500]	Loss: 0.6241	LR: 0.020000
Training Epoch: 20 [31232/47500]	Loss: 0.5480	LR: 0.020000
Training Epoch: 20 [31488/47500]	Loss: 0.5675	LR: 0.020000
Training Epoch: 20 [31744/47500]	Loss: 0.6342	LR: 0.020000
Training Epoch: 20 [32000/47500]	Loss: 0.7007	LR: 0.020000
Training Epoch: 20 [32256/47500]	Loss: 0.6020	LR: 0.020000
Training Epoch: 20 [32512/47500]	Loss: 0.6438	LR: 0.020000
Training Epoch: 20 [32768/47500]	Loss: 0.6558	LR: 0.020000
Training Epoch: 20 [33024/47500]	Loss: 0.6114	LR: 0.020000
Training Epoch: 20 [33280/47500]	Loss: 0.5753	LR: 0.020000
Training Epoch: 20 [33536/47500]	Loss: 0.6185	LR: 0.020000
Training Epoch: 20 [33792/47500]	Loss: 0.6314	LR: 0.020000
Training Epoch: 20 [34048/47500]	Loss: 0.5070	LR: 0.020000
Training Epoch: 20 [34304/47500]	Loss: 0.5736	LR: 0.020000
Training Epoch: 20 [34560/47500]	Loss: 0.5758	LR: 0.020000
Training Epoch: 20 [34816/47500]	Loss: 0.6403	LR: 0.020000
Training Epoch: 20 [35072/47500]	Loss: 0.6253	LR: 0.020000
Training Epoch: 20 [35328/47500]	Loss: 0.6250	LR: 0.020000
Training Epoch: 20 [35584/47500]	Loss: 0.6803	LR: 0.020000
Training Epoch: 20 [35840/47500]	Loss: 0.6440	LR: 0.020000
Training Epoch: 20 [36096/47500]	Loss: 0.7300	LR: 0.020000
Training Epoch: 20 [36352/47500]	Loss: 0.6555	LR: 0.020000
Training Epoch: 20 [36608/47500]	Loss: 0.7334	LR: 0.020000
Training Epoch: 20 [36864/47500]	Loss: 0.7363	LR: 0.020000
Training Epoch: 20 [37120/47500]	Loss: 0.5883	LR: 0.020000
Training Epoch: 20 [37376/47500]	Loss: 0.6189	LR: 0.020000
Training Epoch: 20 [37632/47500]	Loss: 0.6159	LR: 0.020000
Training Epoch: 20 [37888/47500]	Loss: 0.5411	LR: 0.020000
Training Epoch: 20 [38144/47500]	Loss: 0.7081	LR: 0.020000
Training Epoch: 20 [38400/47500]	Loss: 0.5750	LR: 0.020000
Training Epoch: 20 [38656/47500]	Loss: 0.6776	LR: 0.020000
Training Epoch: 20 [38912/47500]	Loss: 0.5982	LR: 0.020000
Training Epoch: 20 [39168/47500]	Loss: 0.5490	LR: 0.020000
Training Epoch: 20 [39424/47500]	Loss: 0.6634	LR: 0.020000
Training Epoch: 20 [39680/47500]	Loss: 0.6724	LR: 0.020000
Training Epoch: 20 [39936/47500]	Loss: 0.5289	LR: 0.020000
Training Epoch: 20 [40192/47500]	Loss: 0.6023	LR: 0.020000
Training Epoch: 20 [40448/47500]	Loss: 0.5620	LR: 0.020000
Training Epoch: 20 [40704/47500]	Loss: 0.6449	LR: 0.020000
Training Epoch: 20 [40960/47500]	Loss: 0.6958	LR: 0.020000
Training Epoch: 20 [41216/47500]	Loss: 0.5681	LR: 0.020000
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Training Epoch: 20 [41728/47500]	Loss: 0.6258	LR: 0.020000
Training Epoch: 20 [41984/47500]	Loss: 0.7452	LR: 0.020000
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Training Epoch: 20 [42496/47500]	Loss: 0.7875	LR: 0.020000
Training Epoch: 20 [42752/47500]	Loss: 0.6901	LR: 0.020000
Training Epoch: 20 [43008/47500]	Loss: 0.6103	LR: 0.020000
Training Epoch: 20 [43264/47500]	Loss: 0.6708	LR: 0.020000
Training Epoch: 20 [43520/47500]	Loss: 0.7567	LR: 0.020000
Training Epoch: 20 [43776/47500]	Loss: 0.6631	LR: 0.020000
Training Epoch: 20 [44032/47500]	Loss: 0.5897	LR: 0.020000
Training Epoch: 20 [44288/47500]	Loss: 0.5821	LR: 0.020000
Training Epoch: 20 [44544/47500]	Loss: 0.7222	LR: 0.020000
Training Epoch: 20 [44800/47500]	Loss: 0.5318	LR: 0.020000
Training Epoch: 20 [45056/47500]	Loss: 0.6446	LR: 0.020000
Training Epoch: 20 [45312/47500]	Loss: 0.8280	LR: 0.020000
Training Epoch: 20 [45568/47500]	Loss: 0.5742	LR: 0.020000
Training Epoch: 20 [45824/47500]	Loss: 0.5985	LR: 0.020000
Training Epoch: 20 [46080/47500]	Loss: 0.5937	LR: 0.020000
Training Epoch: 20 [46336/47500]	Loss: 0.6401	LR: 0.020000
Training Epoch: 20 [46592/47500]	Loss: 0.6836	LR: 0.020000
Training Epoch: 20 [46848/47500]	Loss: 0.7577	LR: 0.020000
Training Epoch: 20 [47104/47500]	Loss: 0.5725	LR: 0.020000
Training Epoch: 20 [47360/47500]	Loss: 0.6137	LR: 0.020000
Training Epoch: 20 [47500/47500]	Loss: 0.6314	LR: 0.020000
Epoch 20 - Average Train Loss: 0.6160, Train Accuracy: 0.8003
Epoch 20 training time consumed: 25.96s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0035, Accuracy: 0.7323, Time consumed:0.87s
Training Epoch: 21 [256/47500]	Loss: 0.6230	LR: 0.020000
Training Epoch: 21 [512/47500]	Loss: 0.6445	LR: 0.020000
Training Epoch: 21 [768/47500]	Loss: 0.4966	LR: 0.020000
Training Epoch: 21 [1024/47500]	Loss: 0.4607	LR: 0.020000
Training Epoch: 21 [1280/47500]	Loss: 0.5400	LR: 0.020000
Training Epoch: 21 [1536/47500]	Loss: 0.5797	LR: 0.020000
Training Epoch: 21 [1792/47500]	Loss: 0.4800	LR: 0.020000
Training Epoch: 21 [2048/47500]	Loss: 0.6564	LR: 0.020000
Training Epoch: 21 [2304/47500]	Loss: 0.4789	LR: 0.020000
Training Epoch: 21 [2560/47500]	Loss: 0.5371	LR: 0.020000
Training Epoch: 21 [2816/47500]	Loss: 0.6449	LR: 0.020000
Training Epoch: 21 [3072/47500]	Loss: 0.5747	LR: 0.020000
Training Epoch: 21 [3328/47500]	Loss: 0.5957	LR: 0.020000
Training Epoch: 21 [3584/47500]	Loss: 0.6425	LR: 0.020000
Training Epoch: 21 [3840/47500]	Loss: 0.6479	LR: 0.020000
Training Epoch: 21 [4096/47500]	Loss: 0.5610	LR: 0.020000
Training Epoch: 21 [4352/47500]	Loss: 0.5909	LR: 0.020000
Training Epoch: 21 [4608/47500]	Loss: 0.6080	LR: 0.020000
Training Epoch: 21 [4864/47500]	Loss: 0.6456	LR: 0.020000
Training Epoch: 21 [5120/47500]	Loss: 0.6045	LR: 0.020000
Training Epoch: 21 [5376/47500]	Loss: 0.5797	LR: 0.020000
Training Epoch: 21 [5632/47500]	Loss: 0.5666	LR: 0.020000
Training Epoch: 21 [5888/47500]	Loss: 0.5462	LR: 0.020000
Training Epoch: 21 [6144/47500]	Loss: 0.5624	LR: 0.020000
Training Epoch: 21 [6400/47500]	Loss: 0.6907	LR: 0.020000
Training Epoch: 21 [6656/47500]	Loss: 0.5133	LR: 0.020000
Training Epoch: 21 [6912/47500]	Loss: 0.6291	LR: 0.020000
Training Epoch: 21 [7168/47500]	Loss: 0.5340	LR: 0.020000
Training Epoch: 21 [7424/47500]	Loss: 0.5872	LR: 0.020000
Training Epoch: 21 [7680/47500]	Loss: 0.5431	LR: 0.020000
Training Epoch: 21 [7936/47500]	Loss: 0.6267	LR: 0.020000
Training Epoch: 21 [8192/47500]	Loss: 0.5176	LR: 0.020000
Training Epoch: 21 [8448/47500]	Loss: 0.5286	LR: 0.020000
Training Epoch: 21 [8704/47500]	Loss: 0.6288	LR: 0.020000
Training Epoch: 21 [8960/47500]	Loss: 0.6513	LR: 0.020000
Training Epoch: 21 [9216/47500]	Loss: 0.5945	LR: 0.020000
Training Epoch: 21 [9472/47500]	Loss: 0.4943	LR: 0.020000
Training Epoch: 21 [9728/47500]	Loss: 0.6322	LR: 0.020000
Training Epoch: 21 [9984/47500]	Loss: 0.5394	LR: 0.020000
Training Epoch: 21 [10240/47500]	Loss: 0.5198	LR: 0.020000
Training Epoch: 21 [10496/47500]	Loss: 0.5661	LR: 0.020000
Training Epoch: 21 [10752/47500]	Loss: 0.6524	LR: 0.020000
Training Epoch: 21 [11008/47500]	Loss: 0.5548	LR: 0.020000
Training Epoch: 21 [11264/47500]	Loss: 0.6256	LR: 0.020000
Training Epoch: 21 [11520/47500]	Loss: 0.5781	LR: 0.020000
Training Epoch: 21 [11776/47500]	Loss: 0.6129	LR: 0.020000
Training Epoch: 21 [12032/47500]	Loss: 0.5598	LR: 0.020000
Training Epoch: 21 [12288/47500]	Loss: 0.6322	LR: 0.020000
Training Epoch: 21 [12544/47500]	Loss: 0.4694	LR: 0.020000
Training Epoch: 21 [12800/47500]	Loss: 0.5955	LR: 0.020000
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Training Epoch: 21 [13312/47500]	Loss: 0.6748	LR: 0.020000
Training Epoch: 21 [13568/47500]	Loss: 0.6831	LR: 0.020000
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Training Epoch: 21 [14336/47500]	Loss: 0.6555	LR: 0.020000
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Training Epoch: 21 [15616/47500]	Loss: 0.5708	LR: 0.020000
Training Epoch: 21 [15872/47500]	Loss: 0.5856	LR: 0.020000
Training Epoch: 21 [16128/47500]	Loss: 0.5485	LR: 0.020000
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Training Epoch: 21 [16640/47500]	Loss: 0.4706	LR: 0.020000
Training Epoch: 21 [16896/47500]	Loss: 0.6149	LR: 0.020000
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Training Epoch: 21 [17920/47500]	Loss: 0.6425	LR: 0.020000
Training Epoch: 21 [18176/47500]	Loss: 0.6644	LR: 0.020000
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Training Epoch: 21 [40192/47500]	Loss: 0.6280	LR: 0.020000
Training Epoch: 21 [40448/47500]	Loss: 0.5928	LR: 0.020000
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Training Epoch: 21 [41728/47500]	Loss: 0.7696	LR: 0.020000
Training Epoch: 21 [41984/47500]	Loss: 0.6884	LR: 0.020000
Training Epoch: 21 [42240/47500]	Loss: 0.6840	LR: 0.020000
Training Epoch: 21 [42496/47500]	Loss: 0.6303	LR: 0.020000
Training Epoch: 21 [42752/47500]	Loss: 0.5940	LR: 0.020000
Training Epoch: 21 [43008/47500]	Loss: 0.6802	LR: 0.020000
Training Epoch: 21 [43264/47500]	Loss: 0.6192	LR: 0.020000
Training Epoch: 21 [43520/47500]	Loss: 0.7253	LR: 0.020000
Training Epoch: 21 [43776/47500]	Loss: 0.5544	LR: 0.020000
Training Epoch: 21 [44032/47500]	Loss: 0.7146	LR: 0.020000
Training Epoch: 21 [44288/47500]	Loss: 0.6129	LR: 0.020000
Training Epoch: 21 [44544/47500]	Loss: 0.5506	LR: 0.020000
Training Epoch: 21 [44800/47500]	Loss: 0.5680	LR: 0.020000
Training Epoch: 21 [45056/47500]	Loss: 0.6342	LR: 0.020000
Training Epoch: 21 [45312/47500]	Loss: 0.6864	LR: 0.020000
Training Epoch: 21 [45568/47500]	Loss: 0.5899	LR: 0.020000
Training Epoch: 21 [45824/47500]	Loss: 0.5857	LR: 0.020000
Training Epoch: 21 [46080/47500]	Loss: 0.5871	LR: 0.020000
Training Epoch: 21 [46336/47500]	Loss: 0.6397	LR: 0.020000
Training Epoch: 21 [46592/47500]	Loss: 0.6016	LR: 0.020000
Training Epoch: 21 [46848/47500]	Loss: 0.6052	LR: 0.020000
Training Epoch: 21 [47104/47500]	Loss: 0.6305	LR: 0.020000
Training Epoch: 21 [47360/47500]	Loss: 0.5419	LR: 0.020000
Training Epoch: 21 [47500/47500]	Loss: 0.6002	LR: 0.020000
Epoch 21 - Average Train Loss: 0.6012, Train Accuracy: 0.8041
Epoch 21 training time consumed: 26.03s
Evaluating Network.....
Test set: Epoch: 21, Average loss: 0.0035, Accuracy: 0.7317, Time consumed:0.92s
Training Epoch: 22 [256/47500]	Loss: 0.5438	LR: 0.020000
Training Epoch: 22 [512/47500]	Loss: 0.5647	LR: 0.020000
Training Epoch: 22 [768/47500]	Loss: 0.5947	LR: 0.020000
Training Epoch: 22 [1024/47500]	Loss: 0.5320	LR: 0.020000
Training Epoch: 22 [1280/47500]	Loss: 0.6632	LR: 0.020000
Training Epoch: 22 [1536/47500]	Loss: 0.5680	LR: 0.020000
Training Epoch: 22 [1792/47500]	Loss: 0.6025	LR: 0.020000
Training Epoch: 22 [2048/47500]	Loss: 0.4887	LR: 0.020000
Training Epoch: 22 [2304/47500]	Loss: 0.5831	LR: 0.020000
Training Epoch: 22 [2560/47500]	Loss: 0.5563	LR: 0.020000
Training Epoch: 22 [2816/47500]	Loss: 0.6592	LR: 0.020000
Training Epoch: 22 [3072/47500]	Loss: 0.5723	LR: 0.020000
Training Epoch: 22 [3328/47500]	Loss: 0.5656	LR: 0.020000
Training Epoch: 22 [3584/47500]	Loss: 0.5022	LR: 0.020000
Training Epoch: 22 [3840/47500]	Loss: 0.4853	LR: 0.020000
Training Epoch: 22 [4096/47500]	Loss: 0.6913	LR: 0.020000
Training Epoch: 22 [4352/47500]	Loss: 0.4837	LR: 0.020000
Training Epoch: 22 [4608/47500]	Loss: 0.6071	LR: 0.020000
Training Epoch: 22 [4864/47500]	Loss: 0.6488	LR: 0.020000
Training Epoch: 22 [5120/47500]	Loss: 0.5366	LR: 0.020000
Training Epoch: 22 [5376/47500]	Loss: 0.6259	LR: 0.020000
Training Epoch: 22 [5632/47500]	Loss: 0.5135	LR: 0.020000
Training Epoch: 22 [5888/47500]	Loss: 0.5300	LR: 0.020000
Training Epoch: 22 [6144/47500]	Loss: 0.4977	LR: 0.020000
Training Epoch: 22 [6400/47500]	Loss: 0.6351	LR: 0.020000
Training Epoch: 22 [6656/47500]	Loss: 0.5898	LR: 0.020000
Training Epoch: 22 [6912/47500]	Loss: 0.6027	LR: 0.020000
Training Epoch: 22 [7168/47500]	Loss: 0.5325	LR: 0.020000
Training Epoch: 22 [7424/47500]	Loss: 0.5536	LR: 0.020000
Training Epoch: 22 [7680/47500]	Loss: 0.5593	LR: 0.020000
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Training Epoch: 22 [8448/47500]	Loss: 0.5708	LR: 0.020000
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Training Epoch: 22 [8960/47500]	Loss: 0.6800	LR: 0.020000
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Training Epoch: 22 [10496/47500]	Loss: 0.4953	LR: 0.020000
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Training Epoch: 22 [11008/47500]	Loss: 0.5096	LR: 0.020000
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Training Epoch: 22 [11520/47500]	Loss: 0.6031	LR: 0.020000
Training Epoch: 22 [11776/47500]	Loss: 0.5943	LR: 0.020000
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Training Epoch: 22 [12800/47500]	Loss: 0.4896	LR: 0.020000
Training Epoch: 22 [13056/47500]	Loss: 0.5884	LR: 0.020000
Training Epoch: 22 [13312/47500]	Loss: 0.5786	LR: 0.020000
Training Epoch: 22 [13568/47500]	Loss: 0.5994	LR: 0.020000
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Training Epoch: 22 [14080/47500]	Loss: 0.6177	LR: 0.020000
Training Epoch: 22 [14336/47500]	Loss: 0.5113	LR: 0.020000
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Training Epoch: 22 [14848/47500]	Loss: 0.5128	LR: 0.020000
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Training Epoch: 22 [15616/47500]	Loss: 0.5903	LR: 0.020000
Training Epoch: 22 [15872/47500]	Loss: 0.6291	LR: 0.020000
Training Epoch: 22 [16128/47500]	Loss: 0.5471	LR: 0.020000
Training Epoch: 22 [16384/47500]	Loss: 0.5447	LR: 0.020000
Training Epoch: 22 [16640/47500]	Loss: 0.5656	LR: 0.020000
Training Epoch: 22 [16896/47500]	Loss: 0.6178	LR: 0.020000
Training Epoch: 22 [17152/47500]	Loss: 0.5857	LR: 0.020000
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Training Epoch: 22 [18176/47500]	Loss: 0.6842	LR: 0.020000
Training Epoch: 22 [18432/47500]	Loss: 0.5064	LR: 0.020000
Training Epoch: 22 [18688/47500]	Loss: 0.5760	LR: 0.020000
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Training Epoch: 22 [22016/47500]	Loss: 0.6534	LR: 0.020000
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Training Epoch: 22 [29184/47500]	Loss: 0.5169	LR: 0.020000
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Training Epoch: 22 [32256/47500]	Loss: 0.6828	LR: 0.020000
Training Epoch: 22 [32512/47500]	Loss: 0.5552	LR: 0.020000
Training Epoch: 22 [32768/47500]	Loss: 0.5328	LR: 0.020000
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Training Epoch: 22 [35328/47500]	Loss: 0.5194	LR: 0.020000
Training Epoch: 22 [35584/47500]	Loss: 0.5884	LR: 0.020000
Training Epoch: 22 [35840/47500]	Loss: 0.6178	LR: 0.020000
Training Epoch: 22 [36096/47500]	Loss: 0.6607	LR: 0.020000
Training Epoch: 22 [36352/47500]	Loss: 0.7126	LR: 0.020000
Training Epoch: 22 [36608/47500]	Loss: 0.6391	LR: 0.020000
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Training Epoch: 22 [37376/47500]	Loss: 0.5493	LR: 0.020000
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Training Epoch: 22 [40192/47500]	Loss: 0.5364	LR: 0.020000
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Training Epoch: 22 [40960/47500]	Loss: 0.5481	LR: 0.020000
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Training Epoch: 22 [41472/47500]	Loss: 0.6720	LR: 0.020000
Training Epoch: 22 [41728/47500]	Loss: 0.5848	LR: 0.020000
Training Epoch: 22 [41984/47500]	Loss: 0.5161	LR: 0.020000
Training Epoch: 22 [42240/47500]	Loss: 0.5236	LR: 0.020000
Training Epoch: 22 [42496/47500]	Loss: 0.6712	LR: 0.020000
Training Epoch: 22 [42752/47500]	Loss: 0.4505	LR: 0.020000
Training Epoch: 22 [43008/47500]	Loss: 0.5784	LR: 0.020000
Training Epoch: 22 [43264/47500]	Loss: 0.6939	LR: 0.020000
Training Epoch: 22 [43520/47500]	Loss: 0.5132	LR: 0.020000
Training Epoch: 22 [43776/47500]	Loss: 0.6183	LR: 0.020000
Training Epoch: 22 [44032/47500]	Loss: 0.6221	LR: 0.020000
Training Epoch: 22 [44288/47500]	Loss: 0.5781	LR: 0.020000
Training Epoch: 22 [44544/47500]	Loss: 0.6106	LR: 0.020000
Training Epoch: 22 [44800/47500]	Loss: 0.6287	LR: 0.020000
Training Epoch: 22 [45056/47500]	Loss: 0.6152	LR: 0.020000
Training Epoch: 22 [45312/47500]	Loss: 0.6031	LR: 0.020000
Training Epoch: 22 [45568/47500]	Loss: 0.6017	LR: 0.020000
Training Epoch: 22 [45824/47500]	Loss: 0.5980	LR: 0.020000
Training Epoch: 22 [46080/47500]	Loss: 0.6440	LR: 0.020000
Training Epoch: 22 [46336/47500]	Loss: 0.6936	LR: 0.020000
Training Epoch: 22 [46592/47500]	Loss: 0.6404	LR: 0.020000
Training Epoch: 22 [46848/47500]	Loss: 0.6620	LR: 0.020000
Training Epoch: 22 [47104/47500]	Loss: 0.5496	LR: 0.020000
Training Epoch: 22 [47360/47500]	Loss: 0.5458	LR: 0.020000
Training Epoch: 22 [47500/47500]	Loss: 0.6440	LR: 0.020000
Epoch 22 - Average Train Loss: 0.5900, Train Accuracy: 0.8079
Epoch 22 training time consumed: 25.93s
Evaluating Network.....
Test set: Epoch: 22, Average loss: 0.0036, Accuracy: 0.7308, Time consumed:0.89s
Training Epoch: 23 [256/47500]	Loss: 0.5731	LR: 0.020000
Training Epoch: 23 [512/47500]	Loss: 0.5652	LR: 0.020000
Training Epoch: 23 [768/47500]	Loss: 0.5701	LR: 0.020000
Training Epoch: 23 [1024/47500]	Loss: 0.5902	LR: 0.020000
Training Epoch: 23 [1280/47500]	Loss: 0.6002	LR: 0.020000
Training Epoch: 23 [1536/47500]	Loss: 0.5783	LR: 0.020000
Training Epoch: 23 [1792/47500]	Loss: 0.5863	LR: 0.020000
Training Epoch: 23 [2048/47500]	Loss: 0.6126	LR: 0.020000
Training Epoch: 23 [2304/47500]	Loss: 0.5384	LR: 0.020000
Training Epoch: 23 [2560/47500]	Loss: 0.5001	LR: 0.020000
Training Epoch: 23 [2816/47500]	Loss: 0.5062	LR: 0.020000
Training Epoch: 23 [3072/47500]	Loss: 0.6146	LR: 0.020000
Training Epoch: 23 [3328/47500]	Loss: 0.5226	LR: 0.020000
Training Epoch: 23 [3584/47500]	Loss: 0.5466	LR: 0.020000
Training Epoch: 23 [3840/47500]	Loss: 0.5425	LR: 0.020000
Training Epoch: 23 [4096/47500]	Loss: 0.5508	LR: 0.020000
Training Epoch: 23 [4352/47500]	Loss: 0.5612	LR: 0.020000
Training Epoch: 23 [4608/47500]	Loss: 0.5559	LR: 0.020000
Training Epoch: 23 [4864/47500]	Loss: 0.5308	LR: 0.020000
Training Epoch: 23 [5120/47500]	Loss: 0.6652	LR: 0.020000
Training Epoch: 23 [5376/47500]	Loss: 0.6537	LR: 0.020000
Training Epoch: 23 [5632/47500]	Loss: 0.4939	LR: 0.020000
Training Epoch: 23 [5888/47500]	Loss: 0.6112	LR: 0.020000
Training Epoch: 23 [6144/47500]	Loss: 0.6416	LR: 0.020000
Training Epoch: 23 [6400/47500]	Loss: 0.5473	LR: 0.020000
Training Epoch: 23 [6656/47500]	Loss: 0.4744	LR: 0.020000
Training Epoch: 23 [6912/47500]	Loss: 0.4810	LR: 0.020000
Training Epoch: 23 [7168/47500]	Loss: 0.5546	LR: 0.020000
Training Epoch: 23 [7424/47500]	Loss: 0.4627	LR: 0.020000
Training Epoch: 23 [7680/47500]	Loss: 0.6329	LR: 0.020000
Training Epoch: 23 [7936/47500]	Loss: 0.6821	LR: 0.020000
Training Epoch: 23 [8192/47500]	Loss: 0.5117	LR: 0.020000
Training Epoch: 23 [8448/47500]	Loss: 0.5413	LR: 0.020000
Training Epoch: 23 [8704/47500]	Loss: 0.5745	LR: 0.020000
Training Epoch: 23 [8960/47500]	Loss: 0.5564	LR: 0.020000
Training Epoch: 23 [9216/47500]	Loss: 0.6062	LR: 0.020000
Training Epoch: 23 [9472/47500]	Loss: 0.5609	LR: 0.020000
Training Epoch: 23 [9728/47500]	Loss: 0.5028	LR: 0.020000
Training Epoch: 23 [9984/47500]	Loss: 0.5814	LR: 0.020000
Training Epoch: 23 [10240/47500]	Loss: 0.5824	LR: 0.020000
Training Epoch: 23 [10496/47500]	Loss: 0.5036	LR: 0.020000
Training Epoch: 23 [10752/47500]	Loss: 0.7202	LR: 0.020000
Training Epoch: 23 [11008/47500]	Loss: 0.5020	LR: 0.020000
Training Epoch: 23 [11264/47500]	Loss: 0.6567	LR: 0.020000
Training Epoch: 23 [11520/47500]	Loss: 0.5440	LR: 0.020000
Training Epoch: 23 [11776/47500]	Loss: 0.4874	LR: 0.020000
Training Epoch: 23 [12032/47500]	Loss: 0.5681	LR: 0.020000
Training Epoch: 23 [12288/47500]	Loss: 0.6805	LR: 0.020000
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Training Epoch: 23 [18688/47500]	Loss: 0.5288	LR: 0.020000
Training Epoch: 23 [18944/47500]	Loss: 0.5348	LR: 0.020000
Training Epoch: 23 [19200/47500]	Loss: 0.5146	LR: 0.020000
Training Epoch: 23 [19456/47500]	Loss: 0.4629	LR: 0.020000
Training Epoch: 23 [19712/47500]	Loss: 0.6321	LR: 0.020000
Training Epoch: 23 [19968/47500]	Loss: 0.6037	LR: 0.020000
Training Epoch: 23 [20224/47500]	Loss: 0.5043	LR: 0.020000
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Training Epoch: 23 [22528/47500]	Loss: 0.6185	LR: 0.020000
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Training Epoch: 23 [25856/47500]	Loss: 0.6895	LR: 0.020000
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Training Epoch: 23 [28416/47500]	Loss: 0.6000	LR: 0.020000
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Training Epoch: 23 [37888/47500]	Loss: 0.6117	LR: 0.020000
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Training Epoch: 23 [44544/47500]	Loss: 0.5704	LR: 0.020000
Training Epoch: 23 [44800/47500]	Loss: 0.6477	LR: 0.020000
Training Epoch: 23 [45056/47500]	Loss: 0.5317	LR: 0.020000
Training Epoch: 23 [45312/47500]	Loss: 0.5827	LR: 0.020000
Training Epoch: 23 [45568/47500]	Loss: 0.6603	LR: 0.020000
Training Epoch: 23 [45824/47500]	Loss: 0.5717	LR: 0.020000
Training Epoch: 23 [46080/47500]	Loss: 0.6625	LR: 0.020000
Training Epoch: 23 [46336/47500]	Loss: 0.5816	LR: 0.020000
Training Epoch: 23 [46592/47500]	Loss: 0.5538	LR: 0.020000
Training Epoch: 23 [46848/47500]	Loss: 0.6615	LR: 0.020000
Training Epoch: 23 [47104/47500]	Loss: 0.6363	LR: 0.020000
Training Epoch: 23 [47360/47500]	Loss: 0.5159	LR: 0.020000
Training Epoch: 23 [47500/47500]	Loss: 0.6342	LR: 0.020000
Epoch 23 - Average Train Loss: 0.5743, Train Accuracy: 0.8142
Epoch 23 training time consumed: 25.97s
Evaluating Network.....
Test set: Epoch: 23, Average loss: 0.0034, Accuracy: 0.7373, Time consumed:0.91s
Training Epoch: 24 [256/47500]	Loss: 0.4728	LR: 0.020000
Training Epoch: 24 [512/47500]	Loss: 0.4336	LR: 0.020000
Training Epoch: 24 [768/47500]	Loss: 0.5630	LR: 0.020000
Training Epoch: 24 [1024/47500]	Loss: 0.5502	LR: 0.020000
Training Epoch: 24 [1280/47500]	Loss: 0.5927	LR: 0.020000
Training Epoch: 24 [1536/47500]	Loss: 0.5978	LR: 0.020000
Training Epoch: 24 [1792/47500]	Loss: 0.5566	LR: 0.020000
Training Epoch: 24 [2048/47500]	Loss: 0.6452	LR: 0.020000
Training Epoch: 24 [2304/47500]	Loss: 0.6116	LR: 0.020000
Training Epoch: 24 [2560/47500]	Loss: 0.6092	LR: 0.020000
Training Epoch: 24 [2816/47500]	Loss: 0.6670	LR: 0.020000
Training Epoch: 24 [3072/47500]	Loss: 0.4981	LR: 0.020000
Training Epoch: 24 [3328/47500]	Loss: 0.5194	LR: 0.020000
Training Epoch: 24 [3584/47500]	Loss: 0.5074	LR: 0.020000
Training Epoch: 24 [3840/47500]	Loss: 0.5768	LR: 0.020000
Training Epoch: 24 [4096/47500]	Loss: 0.5505	LR: 0.020000
Training Epoch: 24 [4352/47500]	Loss: 0.5336	LR: 0.020000
Training Epoch: 24 [4608/47500]	Loss: 0.5785	LR: 0.020000
Training Epoch: 24 [4864/47500]	Loss: 0.4711	LR: 0.020000
Training Epoch: 24 [5120/47500]	Loss: 0.4888	LR: 0.020000
Training Epoch: 24 [5376/47500]	Loss: 0.5680	LR: 0.020000
Training Epoch: 24 [5632/47500]	Loss: 0.5264	LR: 0.020000
Training Epoch: 24 [5888/47500]	Loss: 0.5111	LR: 0.020000
Training Epoch: 24 [6144/47500]	Loss: 0.6225	LR: 0.020000
Training Epoch: 24 [6400/47500]	Loss: 0.4509	LR: 0.020000
Training Epoch: 24 [6656/47500]	Loss: 0.5956	LR: 0.020000
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Training Epoch: 24 [7168/47500]	Loss: 0.5789	LR: 0.020000
Training Epoch: 24 [7424/47500]	Loss: 0.7015	LR: 0.020000
Training Epoch: 24 [7680/47500]	Loss: 0.5466	LR: 0.020000
Training Epoch: 24 [7936/47500]	Loss: 0.5698	LR: 0.020000
Training Epoch: 24 [8192/47500]	Loss: 0.5764	LR: 0.020000
Training Epoch: 24 [8448/47500]	Loss: 0.4887	LR: 0.020000
Training Epoch: 24 [8704/47500]	Loss: 0.4618	LR: 0.020000
Training Epoch: 24 [8960/47500]	Loss: 0.5799	LR: 0.020000
Training Epoch: 24 [9216/47500]	Loss: 0.6064	LR: 0.020000
Training Epoch: 24 [9472/47500]	Loss: 0.6224	LR: 0.020000
Training Epoch: 24 [9728/47500]	Loss: 0.5830	LR: 0.020000
Training Epoch: 24 [9984/47500]	Loss: 0.5852	LR: 0.020000
Training Epoch: 24 [10240/47500]	Loss: 0.5929	LR: 0.020000
Training Epoch: 24 [10496/47500]	Loss: 0.5773	LR: 0.020000
Training Epoch: 24 [10752/47500]	Loss: 0.6195	LR: 0.020000
Training Epoch: 24 [11008/47500]	Loss: 0.4896	LR: 0.020000
Training Epoch: 24 [11264/47500]	Loss: 0.6238	LR: 0.020000
Training Epoch: 24 [11520/47500]	Loss: 0.5542	LR: 0.020000
Training Epoch: 24 [11776/47500]	Loss: 0.5110	LR: 0.020000
Training Epoch: 24 [12032/47500]	Loss: 0.5075	LR: 0.020000
Training Epoch: 24 [12288/47500]	Loss: 0.5985	LR: 0.020000
Training Epoch: 24 [12544/47500]	Loss: 0.6520	LR: 0.020000
Training Epoch: 24 [12800/47500]	Loss: 0.5026	LR: 0.020000
Training Epoch: 24 [13056/47500]	Loss: 0.6306	LR: 0.020000
Training Epoch: 24 [13312/47500]	Loss: 0.6668	LR: 0.020000
Training Epoch: 24 [13568/47500]	Loss: 0.5570	LR: 0.020000
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Training Epoch: 24 [15616/47500]	Loss: 0.5180	LR: 0.020000
Training Epoch: 24 [15872/47500]	Loss: 0.5455	LR: 0.020000
Training Epoch: 24 [16128/47500]	Loss: 0.5735	LR: 0.020000
Training Epoch: 24 [16384/47500]	Loss: 0.5009	LR: 0.020000
Training Epoch: 24 [16640/47500]	Loss: 0.5729	LR: 0.020000
Training Epoch: 24 [16896/47500]	Loss: 0.5897	LR: 0.020000
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Training Epoch: 24 [18176/47500]	Loss: 0.5775	LR: 0.020000
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Training Epoch: 24 [18944/47500]	Loss: 0.6479	LR: 0.020000
Training Epoch: 24 [19200/47500]	Loss: 0.5688	LR: 0.020000
Training Epoch: 24 [19456/47500]	Loss: 0.5309	LR: 0.020000
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Training Epoch: 24 [19968/47500]	Loss: 0.5528	LR: 0.020000
Training Epoch: 24 [20224/47500]	Loss: 0.5198	LR: 0.020000
Training Epoch: 24 [20480/47500]	Loss: 0.5863	LR: 0.020000
Training Epoch: 24 [20736/47500]	Loss: 0.5687	LR: 0.020000
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Training Epoch: 24 [22016/47500]	Loss: 0.6470	LR: 0.020000
Training Epoch: 24 [22272/47500]	Loss: 0.6201	LR: 0.020000
Training Epoch: 24 [22528/47500]	Loss: 0.4365	LR: 0.020000
Training Epoch: 24 [22784/47500]	Loss: 0.5528	LR: 0.020000
Training Epoch: 24 [23040/47500]	Loss: 0.6009	LR: 0.020000
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Training Epoch: 24 [40192/47500]	Loss: 0.5709	LR: 0.020000
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Training Epoch: 24 [41728/47500]	Loss: 0.4689	LR: 0.020000
Training Epoch: 24 [41984/47500]	Loss: 0.6746	LR: 0.020000
Training Epoch: 24 [42240/47500]	Loss: 0.5825	LR: 0.020000
Training Epoch: 24 [42496/47500]	Loss: 0.6086	LR: 0.020000
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Training Epoch: 24 [43008/47500]	Loss: 0.5038	LR: 0.020000
Training Epoch: 24 [43264/47500]	Loss: 0.4987	LR: 0.020000
Training Epoch: 24 [43520/47500]	Loss: 0.5532	LR: 0.020000
Training Epoch: 24 [43776/47500]	Loss: 0.4740	LR: 0.020000
Training Epoch: 24 [44032/47500]	Loss: 0.5922	LR: 0.020000
Training Epoch: 24 [44288/47500]	Loss: 0.5890	LR: 0.020000
Training Epoch: 24 [44544/47500]	Loss: 0.7961	LR: 0.020000
Training Epoch: 24 [44800/47500]	Loss: 0.6063	LR: 0.020000
Training Epoch: 24 [45056/47500]	Loss: 0.5945	LR: 0.020000
Training Epoch: 24 [45312/47500]	Loss: 0.5186	LR: 0.020000
Training Epoch: 24 [45568/47500]	Loss: 0.4842	LR: 0.020000
Training Epoch: 24 [45824/47500]	Loss: 0.4822	LR: 0.020000
Training Epoch: 24 [46080/47500]	Loss: 0.4875	LR: 0.020000
Training Epoch: 24 [46336/47500]	Loss: 0.5238	LR: 0.020000
Training Epoch: 24 [46592/47500]	Loss: 0.6579	LR: 0.020000
Training Epoch: 24 [46848/47500]	Loss: 0.4568	LR: 0.020000
Training Epoch: 24 [47104/47500]	Loss: 0.7016	LR: 0.020000
Training Epoch: 24 [47360/47500]	Loss: 0.6011	LR: 0.020000
Training Epoch: 24 [47500/47500]	Loss: 0.5389	LR: 0.020000
Epoch 24 - Average Train Loss: 0.5681, Train Accuracy: 0.8164
Epoch 24 training time consumed: 25.91s
Evaluating Network.....
Test set: Epoch: 24, Average loss: 0.0036, Accuracy: 0.7318, Time consumed:0.96s
Training Epoch: 25 [256/47500]	Loss: 0.4344	LR: 0.020000
Training Epoch: 25 [512/47500]	Loss: 0.6076	LR: 0.020000
Training Epoch: 25 [768/47500]	Loss: 0.4795	LR: 0.020000
Training Epoch: 25 [1024/47500]	Loss: 0.4947	LR: 0.020000
Training Epoch: 25 [1280/47500]	Loss: 0.6037	LR: 0.020000
Training Epoch: 25 [1536/47500]	Loss: 0.6053	LR: 0.020000
Training Epoch: 25 [1792/47500]	Loss: 0.5045	LR: 0.020000
Training Epoch: 25 [2048/47500]	Loss: 0.5620	LR: 0.020000
Training Epoch: 25 [2304/47500]	Loss: 0.5356	LR: 0.020000
Training Epoch: 25 [2560/47500]	Loss: 0.4701	LR: 0.020000
Training Epoch: 25 [2816/47500]	Loss: 0.4579	LR: 0.020000
Training Epoch: 25 [3072/47500]	Loss: 0.4801	LR: 0.020000
Training Epoch: 25 [3328/47500]	Loss: 0.5500	LR: 0.020000
Training Epoch: 25 [3584/47500]	Loss: 0.5194	LR: 0.020000
Training Epoch: 25 [3840/47500]	Loss: 0.4643	LR: 0.020000
Training Epoch: 25 [4096/47500]	Loss: 0.5884	LR: 0.020000
Training Epoch: 25 [4352/47500]	Loss: 0.5388	LR: 0.020000
Training Epoch: 25 [4608/47500]	Loss: 0.5396	LR: 0.020000
Training Epoch: 25 [4864/47500]	Loss: 0.5308	LR: 0.020000
Training Epoch: 25 [5120/47500]	Loss: 0.5144	LR: 0.020000
Training Epoch: 25 [5376/47500]	Loss: 0.4525	LR: 0.020000
Training Epoch: 25 [5632/47500]	Loss: 0.5556	LR: 0.020000
Training Epoch: 25 [5888/47500]	Loss: 0.5843	LR: 0.020000
Training Epoch: 25 [6144/47500]	Loss: 0.5293	LR: 0.020000
Training Epoch: 25 [6400/47500]	Loss: 0.6209	LR: 0.020000
Training Epoch: 25 [6656/47500]	Loss: 0.5068	LR: 0.020000
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Training Epoch: 25 [7168/47500]	Loss: 0.4572	LR: 0.020000
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Training Epoch: 25 [7936/47500]	Loss: 0.4917	LR: 0.020000
Training Epoch: 25 [8192/47500]	Loss: 0.4876	LR: 0.020000
Training Epoch: 25 [8448/47500]	Loss: 0.5768	LR: 0.020000
Training Epoch: 25 [8704/47500]	Loss: 0.4848	LR: 0.020000
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Training Epoch: 25 [10496/47500]	Loss: 0.5055	LR: 0.020000
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Training Epoch: 25 [11008/47500]	Loss: 0.4632	LR: 0.020000
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Training Epoch: 25 [13312/47500]	Loss: 0.5786	LR: 0.020000
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Training Epoch: 25 [16128/47500]	Loss: 0.6040	LR: 0.020000
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Training Epoch: 25 [16896/47500]	Loss: 0.4568	LR: 0.020000
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Training Epoch: 25 [19200/47500]	Loss: 0.5679	LR: 0.020000
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Training Epoch: 25 [19712/47500]	Loss: 0.4989	LR: 0.020000
Training Epoch: 25 [19968/47500]	Loss: 0.5859	LR: 0.020000
Training Epoch: 25 [20224/47500]	Loss: 0.5028	LR: 0.020000
Training Epoch: 25 [20480/47500]	Loss: 0.6673	LR: 0.020000
Training Epoch: 25 [20736/47500]	Loss: 0.5894	LR: 0.020000
Training Epoch: 25 [20992/47500]	Loss: 0.5115	LR: 0.020000
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Training Epoch: 25 [21504/47500]	Loss: 0.5518	LR: 0.020000
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Training Epoch: 25 [22016/47500]	Loss: 0.6006	LR: 0.020000
Training Epoch: 25 [22272/47500]	Loss: 0.5690	LR: 0.020000
Training Epoch: 25 [22528/47500]	Loss: 0.4676	LR: 0.020000
Training Epoch: 25 [22784/47500]	Loss: 0.4490	LR: 0.020000
Training Epoch: 25 [23040/47500]	Loss: 0.5744	LR: 0.020000
Training Epoch: 25 [23296/47500]	Loss: 0.5575	LR: 0.020000
Training Epoch: 25 [23552/47500]	Loss: 0.5706	LR: 0.020000
Training Epoch: 25 [23808/47500]	Loss: 0.6140	LR: 0.020000
Training Epoch: 25 [24064/47500]	Loss: 0.4989	LR: 0.020000
Training Epoch: 25 [24320/47500]	Loss: 0.5759	LR: 0.020000
Training Epoch: 25 [24576/47500]	Loss: 0.4497	LR: 0.020000
Training Epoch: 25 [24832/47500]	Loss: 0.4902	LR: 0.020000
Training Epoch: 25 [25088/47500]	Loss: 0.6777	LR: 0.020000
Training Epoch: 25 [25344/47500]	Loss: 0.5930	LR: 0.020000
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Training Epoch: 25 [25856/47500]	Loss: 0.6411	LR: 0.020000
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Training Epoch: 25 [27648/47500]	Loss: 0.5152	LR: 0.020000
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Training Epoch: 25 [28160/47500]	Loss: 0.5072	LR: 0.020000
Training Epoch: 25 [28416/47500]	Loss: 0.5338	LR: 0.020000
Training Epoch: 25 [28672/47500]	Loss: 0.4838	LR: 0.020000
Training Epoch: 25 [28928/47500]	Loss: 0.5720	LR: 0.020000
Training Epoch: 25 [29184/47500]	Loss: 0.4356	LR: 0.020000
Training Epoch: 25 [29440/47500]	Loss: 0.5422	LR: 0.020000
Training Epoch: 25 [29696/47500]	Loss: 0.4366	LR: 0.020000
Training Epoch: 25 [29952/47500]	Loss: 0.5199	LR: 0.020000
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Training Epoch: 25 [30464/47500]	Loss: 0.5274	LR: 0.020000
Training Epoch: 25 [30720/47500]	Loss: 0.5891	LR: 0.020000
Training Epoch: 25 [30976/47500]	Loss: 0.4404	LR: 0.020000
Training Epoch: 25 [31232/47500]	Loss: 0.5162	LR: 0.020000
Training Epoch: 25 [31488/47500]	Loss: 0.5574	LR: 0.020000
Training Epoch: 25 [31744/47500]	Loss: 0.5656	LR: 0.020000
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Training Epoch: 25 [32256/47500]	Loss: 0.5523	LR: 0.020000
Training Epoch: 25 [32512/47500]	Loss: 0.6059	LR: 0.020000
Training Epoch: 25 [32768/47500]	Loss: 0.5191	LR: 0.020000
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Training Epoch: 25 [35584/47500]	Loss: 0.6254	LR: 0.020000
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Training Epoch: 25 [36096/47500]	Loss: 0.6143	LR: 0.020000
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Training Epoch: 25 [36608/47500]	Loss: 0.6828	LR: 0.020000
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Training Epoch: 25 [37376/47500]	Loss: 0.5964	LR: 0.020000
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Training Epoch: 25 [39424/47500]	Loss: 0.5003	LR: 0.020000
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Training Epoch: 25 [40448/47500]	Loss: 0.5996	LR: 0.020000
Training Epoch: 25 [40704/47500]	Loss: 0.5628	LR: 0.020000
Training Epoch: 25 [40960/47500]	Loss: 0.5815	LR: 0.020000
Training Epoch: 25 [41216/47500]	Loss: 0.5547	LR: 0.020000
Training Epoch: 25 [41472/47500]	Loss: 0.5041	LR: 0.020000
Training Epoch: 25 [41728/47500]	Loss: 0.6239	LR: 0.020000
Training Epoch: 25 [41984/47500]	Loss: 0.5988	LR: 0.020000
Training Epoch: 25 [42240/47500]	Loss: 0.6302	LR: 0.020000
Training Epoch: 25 [42496/47500]	Loss: 0.6126	LR: 0.020000
Training Epoch: 25 [42752/47500]	Loss: 0.5756	LR: 0.020000
Training Epoch: 25 [43008/47500]	Loss: 0.4787	LR: 0.020000
Training Epoch: 25 [43264/47500]	Loss: 0.6324	LR: 0.020000
Training Epoch: 25 [43520/47500]	Loss: 0.6477	LR: 0.020000
Training Epoch: 25 [43776/47500]	Loss: 0.5348	LR: 0.020000
Training Epoch: 25 [44032/47500]	Loss: 0.5276	LR: 0.020000
Training Epoch: 25 [44288/47500]	Loss: 0.5652	LR: 0.020000
Training Epoch: 25 [44544/47500]	Loss: 0.6042	LR: 0.020000
Training Epoch: 25 [44800/47500]	Loss: 0.5385	LR: 0.020000
Training Epoch: 25 [45056/47500]	Loss: 0.6154	LR: 0.020000
Training Epoch: 25 [45312/47500]	Loss: 0.6320	LR: 0.020000
Training Epoch: 25 [45568/47500]	Loss: 0.6655	LR: 0.020000
Training Epoch: 25 [45824/47500]	Loss: 0.6540	LR: 0.020000
Training Epoch: 25 [46080/47500]	Loss: 0.6339	LR: 0.020000
Training Epoch: 25 [46336/47500]	Loss: 0.6265	LR: 0.020000
Training Epoch: 25 [46592/47500]	Loss: 0.5892	LR: 0.020000
Training Epoch: 25 [46848/47500]	Loss: 0.6087	LR: 0.020000
Training Epoch: 25 [47104/47500]	Loss: 0.5723	LR: 0.020000
Training Epoch: 25 [47360/47500]	Loss: 0.5993	LR: 0.020000
Training Epoch: 25 [47500/47500]	Loss: 0.5336	LR: 0.020000
Epoch 25 - Average Train Loss: 0.5511, Train Accuracy: 0.8216
Epoch 25 training time consumed: 26.04s
Evaluating Network.....
Test set: Epoch: 25, Average loss: 0.0037, Accuracy: 0.7314, Time consumed:0.86s
Training Epoch: 26 [256/47500]	Loss: 0.5885	LR: 0.020000
Training Epoch: 26 [512/47500]	Loss: 0.4052	LR: 0.020000
Training Epoch: 26 [768/47500]	Loss: 0.5660	LR: 0.020000
Training Epoch: 26 [1024/47500]	Loss: 0.4133	LR: 0.020000
Training Epoch: 26 [1280/47500]	Loss: 0.5594	LR: 0.020000
Training Epoch: 26 [1536/47500]	Loss: 0.5388	LR: 0.020000
Training Epoch: 26 [1792/47500]	Loss: 0.5236	LR: 0.020000
Training Epoch: 26 [2048/47500]	Loss: 0.4981	LR: 0.020000
Training Epoch: 26 [2304/47500]	Loss: 0.4938	LR: 0.020000
Training Epoch: 26 [2560/47500]	Loss: 0.6441	LR: 0.020000
Training Epoch: 26 [2816/47500]	Loss: 0.5259	LR: 0.020000
Training Epoch: 26 [3072/47500]	Loss: 0.5594	LR: 0.020000
Training Epoch: 26 [3328/47500]	Loss: 0.5287	LR: 0.020000
Training Epoch: 26 [3584/47500]	Loss: 0.4531	LR: 0.020000
Training Epoch: 26 [3840/47500]	Loss: 0.5209	LR: 0.020000
Training Epoch: 26 [4096/47500]	Loss: 0.5950	LR: 0.020000
Training Epoch: 26 [4352/47500]	Loss: 0.4780	LR: 0.020000
Training Epoch: 26 [4608/47500]	Loss: 0.5356	LR: 0.020000
Training Epoch: 26 [4864/47500]	Loss: 0.5134	LR: 0.020000
Training Epoch: 26 [5120/47500]	Loss: 0.5216	LR: 0.020000
Training Epoch: 26 [5376/47500]	Loss: 0.4867	LR: 0.020000
Training Epoch: 26 [5632/47500]	Loss: 0.5751	LR: 0.020000
Training Epoch: 26 [5888/47500]	Loss: 0.5822	LR: 0.020000
Training Epoch: 26 [6144/47500]	Loss: 0.5184	LR: 0.020000
Training Epoch: 26 [6400/47500]	Loss: 0.5412	LR: 0.020000
Training Epoch: 26 [6656/47500]	Loss: 0.5805	LR: 0.020000
Training Epoch: 26 [6912/47500]	Loss: 0.5638	LR: 0.020000
Training Epoch: 26 [7168/47500]	Loss: 0.5117	LR: 0.020000
Training Epoch: 26 [7424/47500]	Loss: 0.4506	LR: 0.020000
Training Epoch: 26 [7680/47500]	Loss: 0.6069	LR: 0.020000
Training Epoch: 26 [7936/47500]	Loss: 0.5073	LR: 0.020000
Training Epoch: 26 [8192/47500]	Loss: 0.5264	LR: 0.020000
Training Epoch: 26 [8448/47500]	Loss: 0.5479	LR: 0.020000
Training Epoch: 26 [8704/47500]	Loss: 0.4945	LR: 0.020000
Training Epoch: 26 [8960/47500]	Loss: 0.6243	LR: 0.020000
Training Epoch: 26 [9216/47500]	Loss: 0.4696	LR: 0.020000
Training Epoch: 26 [9472/47500]	Loss: 0.5247	LR: 0.020000
Training Epoch: 26 [9728/47500]	Loss: 0.4290	LR: 0.020000
Training Epoch: 26 [9984/47500]	Loss: 0.4724	LR: 0.020000
Training Epoch: 26 [10240/47500]	Loss: 0.5030	LR: 0.020000
Training Epoch: 26 [10496/47500]	Loss: 0.4971	LR: 0.020000
Training Epoch: 26 [10752/47500]	Loss: 0.5799	LR: 0.020000
Training Epoch: 26 [11008/47500]	Loss: 0.5569	LR: 0.020000
Training Epoch: 26 [11264/47500]	Loss: 0.6372	LR: 0.020000
Training Epoch: 26 [11520/47500]	Loss: 0.5383	LR: 0.020000
Training Epoch: 26 [11776/47500]	Loss: 0.5772	LR: 0.020000
Training Epoch: 26 [12032/47500]	Loss: 0.4725	LR: 0.020000
Training Epoch: 26 [12288/47500]	Loss: 0.5124	LR: 0.020000
Training Epoch: 26 [12544/47500]	Loss: 0.5540	LR: 0.020000
Training Epoch: 26 [12800/47500]	Loss: 0.4927	LR: 0.020000
Training Epoch: 26 [13056/47500]	Loss: 0.5568	LR: 0.020000
Training Epoch: 26 [13312/47500]	Loss: 0.6040	LR: 0.020000
Training Epoch: 26 [13568/47500]	Loss: 0.5204	LR: 0.020000
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Training Epoch: 26 [14336/47500]	Loss: 0.4281	LR: 0.020000
Training Epoch: 26 [14592/47500]	Loss: 0.5376	LR: 0.020000
Training Epoch: 26 [14848/47500]	Loss: 0.6114	LR: 0.020000
Training Epoch: 26 [15104/47500]	Loss: 0.4897	LR: 0.020000
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Training Epoch: 26 [15616/47500]	Loss: 0.5136	LR: 0.020000
Training Epoch: 26 [15872/47500]	Loss: 0.5283	LR: 0.020000
Training Epoch: 26 [16128/47500]	Loss: 0.5897	LR: 0.020000
Training Epoch: 26 [16384/47500]	Loss: 0.6004	LR: 0.020000
Training Epoch: 26 [16640/47500]	Loss: 0.4900	LR: 0.020000
Training Epoch: 26 [16896/47500]	Loss: 0.4315	LR: 0.020000
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Training Epoch: 26 [18176/47500]	Loss: 0.5367	LR: 0.020000
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Training Epoch: 26 [18944/47500]	Loss: 0.5337	LR: 0.020000
Training Epoch: 26 [19200/47500]	Loss: 0.5608	LR: 0.020000
Training Epoch: 26 [19456/47500]	Loss: 0.5725	LR: 0.020000
Training Epoch: 26 [19712/47500]	Loss: 0.5612	LR: 0.020000
Training Epoch: 26 [19968/47500]	Loss: 0.4775	LR: 0.020000
Training Epoch: 26 [20224/47500]	Loss: 0.4716	LR: 0.020000
Training Epoch: 26 [20480/47500]	Loss: 0.5252	LR: 0.020000
Training Epoch: 26 [20736/47500]	Loss: 0.5897	LR: 0.020000
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Training Epoch: 26 [21504/47500]	Loss: 0.5150	LR: 0.020000
Training Epoch: 26 [21760/47500]	Loss: 0.4573	LR: 0.020000
Training Epoch: 26 [22016/47500]	Loss: 0.5108	LR: 0.020000
Training Epoch: 26 [22272/47500]	Loss: 0.6295	LR: 0.020000
Training Epoch: 26 [22528/47500]	Loss: 0.4378	LR: 0.020000
Training Epoch: 26 [22784/47500]	Loss: 0.5123	LR: 0.020000
Training Epoch: 26 [23040/47500]	Loss: 0.5267	LR: 0.020000
Training Epoch: 26 [23296/47500]	Loss: 0.4809	LR: 0.020000
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Training Epoch: 26 [24064/47500]	Loss: 0.5184	LR: 0.020000
Training Epoch: 26 [24320/47500]	Loss: 0.4873	LR: 0.020000
Training Epoch: 26 [24576/47500]	Loss: 0.6686	LR: 0.020000
Training Epoch: 26 [24832/47500]	Loss: 0.5247	LR: 0.020000
Training Epoch: 26 [25088/47500]	Loss: 0.7148	LR: 0.020000
Training Epoch: 26 [25344/47500]	Loss: 0.6068	LR: 0.020000
Training Epoch: 26 [25600/47500]	Loss: 0.5254	LR: 0.020000
Training Epoch: 26 [25856/47500]	Loss: 0.6468	LR: 0.020000
Training Epoch: 26 [26112/47500]	Loss: 0.5678	LR: 0.020000
Training Epoch: 26 [26368/47500]	Loss: 0.6430	LR: 0.020000
Training Epoch: 26 [26624/47500]	Loss: 0.6118	LR: 0.020000
Training Epoch: 26 [26880/47500]	Loss: 0.5518	LR: 0.020000
Training Epoch: 26 [27136/47500]	Loss: 0.5491	LR: 0.020000
Training Epoch: 26 [27392/47500]	Loss: 0.5330	LR: 0.020000
Training Epoch: 26 [27648/47500]	Loss: 0.4806	LR: 0.020000
Training Epoch: 26 [27904/47500]	Loss: 0.5223	LR: 0.020000
Training Epoch: 26 [28160/47500]	Loss: 0.6122	LR: 0.020000
Training Epoch: 26 [28416/47500]	Loss: 0.5117	LR: 0.020000
Training Epoch: 26 [28672/47500]	Loss: 0.4921	LR: 0.020000
Training Epoch: 26 [28928/47500]	Loss: 0.5033	LR: 0.020000
Training Epoch: 26 [29184/47500]	Loss: 0.5175	LR: 0.020000
Training Epoch: 26 [29440/47500]	Loss: 0.5627	LR: 0.020000
Training Epoch: 26 [29696/47500]	Loss: 0.5863	LR: 0.020000
Training Epoch: 26 [29952/47500]	Loss: 0.5259	LR: 0.020000
Training Epoch: 26 [30208/47500]	Loss: 0.6003	LR: 0.020000
Training Epoch: 26 [30464/47500]	Loss: 0.5570	LR: 0.020000
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Training Epoch: 26 [32768/47500]	Loss: 0.5564	LR: 0.020000
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Training Epoch: 26 [35328/47500]	Loss: 0.4514	LR: 0.020000
Training Epoch: 26 [35584/47500]	Loss: 0.5272	LR: 0.020000
Training Epoch: 26 [35840/47500]	Loss: 0.6002	LR: 0.020000
Training Epoch: 26 [36096/47500]	Loss: 0.5507	LR: 0.020000
Training Epoch: 26 [36352/47500]	Loss: 0.4946	LR: 0.020000
Training Epoch: 26 [36608/47500]	Loss: 0.6539	LR: 0.020000
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Training Epoch: 26 [37120/47500]	Loss: 0.5830	LR: 0.020000
Training Epoch: 26 [37376/47500]	Loss: 0.5354	LR: 0.020000
Training Epoch: 26 [37632/47500]	Loss: 0.6463	LR: 0.020000
Training Epoch: 26 [37888/47500]	Loss: 0.6182	LR: 0.020000
Training Epoch: 26 [38144/47500]	Loss: 0.4416	LR: 0.020000
Training Epoch: 26 [38400/47500]	Loss: 0.5389	LR: 0.020000
Training Epoch: 26 [38656/47500]	Loss: 0.5097	LR: 0.020000
Training Epoch: 26 [38912/47500]	Loss: 0.5427	LR: 0.020000
Training Epoch: 26 [39168/47500]	Loss: 0.6113	LR: 0.020000
Training Epoch: 26 [39424/47500]	Loss: 0.5478	LR: 0.020000
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Training Epoch: 26 [39936/47500]	Loss: 0.6090	LR: 0.020000
Training Epoch: 26 [40192/47500]	Loss: 0.5376	LR: 0.020000
Training Epoch: 26 [40448/47500]	Loss: 0.5883	LR: 0.020000
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Training Epoch: 26 [40960/47500]	Loss: 0.5362	LR: 0.020000
Training Epoch: 26 [41216/47500]	Loss: 0.5470	LR: 0.020000
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Training Epoch: 26 [41728/47500]	Loss: 0.5601	LR: 0.020000
Training Epoch: 26 [41984/47500]	Loss: 0.5299	LR: 0.020000
Training Epoch: 26 [42240/47500]	Loss: 0.5614	LR: 0.020000
Training Epoch: 26 [42496/47500]	Loss: 0.5184	LR: 0.020000
Training Epoch: 26 [42752/47500]	Loss: 0.6225	LR: 0.020000
Training Epoch: 26 [43008/47500]	Loss: 0.6230	LR: 0.020000
Training Epoch: 26 [43264/47500]	Loss: 0.4556	LR: 0.020000
Training Epoch: 26 [43520/47500]	Loss: 0.6234	LR: 0.020000
Training Epoch: 26 [43776/47500]	Loss: 0.6219	LR: 0.020000
Training Epoch: 26 [44032/47500]	Loss: 0.4974	LR: 0.020000
Training Epoch: 26 [44288/47500]	Loss: 0.5940	LR: 0.020000
Training Epoch: 26 [44544/47500]	Loss: 0.6339	LR: 0.020000
Training Epoch: 26 [44800/47500]	Loss: 0.6553	LR: 0.020000
Training Epoch: 26 [45056/47500]	Loss: 0.5375	LR: 0.020000
Training Epoch: 26 [45312/47500]	Loss: 0.5377	LR: 0.020000
Training Epoch: 26 [45568/47500]	Loss: 0.4171	LR: 0.020000
Training Epoch: 26 [45824/47500]	Loss: 0.5717	LR: 0.020000
Training Epoch: 26 [46080/47500]	Loss: 0.6049	LR: 0.020000
Training Epoch: 26 [46336/47500]	Loss: 0.6761	LR: 0.020000
Training Epoch: 26 [46592/47500]	Loss: 0.5209	LR: 0.020000
Training Epoch: 26 [46848/47500]	Loss: 0.5030	LR: 0.020000
Training Epoch: 26 [47104/47500]	Loss: 0.5190	LR: 0.020000
Training Epoch: 26 [47360/47500]	Loss: 0.5996	LR: 0.020000
Training Epoch: 26 [47500/47500]	Loss: 0.6354	LR: 0.020000
Epoch 26 - Average Train Loss: 0.5409, Train Accuracy: 0.8235
Epoch 26 training time consumed: 25.98s
Evaluating Network.....
Test set: Epoch: 26, Average loss: 0.0035, Accuracy: 0.7332, Time consumed:0.93s
Training Epoch: 27 [256/47500]	Loss: 0.5522	LR: 0.020000
Training Epoch: 27 [512/47500]	Loss: 0.4535	LR: 0.020000
Training Epoch: 27 [768/47500]	Loss: 0.5426	LR: 0.020000
Training Epoch: 27 [1024/47500]	Loss: 0.4124	LR: 0.020000
Training Epoch: 27 [1280/47500]	Loss: 0.5538	LR: 0.020000
Training Epoch: 27 [1536/47500]	Loss: 0.5695	LR: 0.020000
Training Epoch: 27 [1792/47500]	Loss: 0.5134	LR: 0.020000
Training Epoch: 27 [2048/47500]	Loss: 0.5163	LR: 0.020000
Training Epoch: 27 [2304/47500]	Loss: 0.6033	LR: 0.020000
Training Epoch: 27 [2560/47500]	Loss: 0.4177	LR: 0.020000
Training Epoch: 27 [2816/47500]	Loss: 0.5060	LR: 0.020000
Training Epoch: 27 [3072/47500]	Loss: 0.4729	LR: 0.020000
Training Epoch: 27 [3328/47500]	Loss: 0.5015	LR: 0.020000
Training Epoch: 27 [3584/47500]	Loss: 0.4743	LR: 0.020000
Training Epoch: 27 [3840/47500]	Loss: 0.5137	LR: 0.020000
Training Epoch: 27 [4096/47500]	Loss: 0.5309	LR: 0.020000
Training Epoch: 27 [4352/47500]	Loss: 0.4920	LR: 0.020000
Training Epoch: 27 [4608/47500]	Loss: 0.3913	LR: 0.020000
Training Epoch: 27 [4864/47500]	Loss: 0.6056	LR: 0.020000
Training Epoch: 27 [5120/47500]	Loss: 0.5371	LR: 0.020000
Training Epoch: 27 [5376/47500]	Loss: 0.5586	LR: 0.020000
Training Epoch: 27 [5632/47500]	Loss: 0.5394	LR: 0.020000
Training Epoch: 27 [5888/47500]	Loss: 0.4941	LR: 0.020000
Training Epoch: 27 [6144/47500]	Loss: 0.5813	LR: 0.020000
Training Epoch: 27 [6400/47500]	Loss: 0.4781	LR: 0.020000
Training Epoch: 27 [6656/47500]	Loss: 0.4664	LR: 0.020000
Training Epoch: 27 [6912/47500]	Loss: 0.5842	LR: 0.020000
Training Epoch: 27 [7168/47500]	Loss: 0.4472	LR: 0.020000
Training Epoch: 27 [7424/47500]	Loss: 0.5153	LR: 0.020000
Training Epoch: 27 [7680/47500]	Loss: 0.5233	LR: 0.020000
Training Epoch: 27 [7936/47500]	Loss: 0.6324	LR: 0.020000
Training Epoch: 27 [8192/47500]	Loss: 0.5453	LR: 0.020000
Training Epoch: 27 [8448/47500]	Loss: 0.4993	LR: 0.020000
Training Epoch: 27 [8704/47500]	Loss: 0.5002	LR: 0.020000
Training Epoch: 27 [8960/47500]	Loss: 0.4245	LR: 0.020000
Training Epoch: 27 [9216/47500]	Loss: 0.4023	LR: 0.020000
Training Epoch: 27 [9472/47500]	Loss: 0.5494	LR: 0.020000
Training Epoch: 27 [9728/47500]	Loss: 0.4813	LR: 0.020000
Training Epoch: 27 [9984/47500]	Loss: 0.4995	LR: 0.020000
Training Epoch: 27 [10240/47500]	Loss: 0.5259	LR: 0.020000
Training Epoch: 27 [10496/47500]	Loss: 0.4104	LR: 0.020000
Training Epoch: 27 [10752/47500]	Loss: 0.6023	LR: 0.020000
Training Epoch: 27 [11008/47500]	Loss: 0.4796	LR: 0.020000
Training Epoch: 27 [11264/47500]	Loss: 0.4880	LR: 0.020000
Training Epoch: 27 [11520/47500]	Loss: 0.4797	LR: 0.020000
Training Epoch: 27 [11776/47500]	Loss: 0.5149	LR: 0.020000
Training Epoch: 27 [12032/47500]	Loss: 0.4959	LR: 0.020000
Training Epoch: 27 [12288/47500]	Loss: 0.4669	LR: 0.020000
Training Epoch: 27 [12544/47500]	Loss: 0.5753	LR: 0.020000
Training Epoch: 27 [12800/47500]	Loss: 0.4760	LR: 0.020000
Training Epoch: 27 [13056/47500]	Loss: 0.5128	LR: 0.020000
Training Epoch: 27 [13312/47500]	Loss: 0.5524	LR: 0.020000
Training Epoch: 27 [13568/47500]	Loss: 0.4409	LR: 0.020000
Training Epoch: 27 [13824/47500]	Loss: 0.5702	LR: 0.020000
Training Epoch: 27 [14080/47500]	Loss: 0.5619	LR: 0.020000
Training Epoch: 27 [14336/47500]	Loss: 0.4863	LR: 0.020000
Training Epoch: 27 [14592/47500]	Loss: 0.5359	LR: 0.020000
Training Epoch: 27 [14848/47500]	Loss: 0.5332	LR: 0.020000
Training Epoch: 27 [15104/47500]	Loss: 0.5515	LR: 0.020000
Training Epoch: 27 [15360/47500]	Loss: 0.6147	LR: 0.020000
Training Epoch: 27 [15616/47500]	Loss: 0.5067	LR: 0.020000
Training Epoch: 27 [15872/47500]	Loss: 0.5766	LR: 0.020000
Training Epoch: 27 [16128/47500]	Loss: 0.4906	LR: 0.020000
Training Epoch: 27 [16384/47500]	Loss: 0.5474	LR: 0.020000
Training Epoch: 27 [16640/47500]	Loss: 0.6653	LR: 0.020000
Training Epoch: 27 [16896/47500]	Loss: 0.4474	LR: 0.020000
Training Epoch: 27 [17152/47500]	Loss: 0.5438	LR: 0.020000
Training Epoch: 27 [17408/47500]	Loss: 0.5742	LR: 0.020000
Training Epoch: 27 [17664/47500]	Loss: 0.5395	LR: 0.020000
Training Epoch: 27 [17920/47500]	Loss: 0.5651	LR: 0.020000
Training Epoch: 27 [18176/47500]	Loss: 0.4591	LR: 0.020000
Training Epoch: 27 [18432/47500]	Loss: 0.5809	LR: 0.020000
Training Epoch: 27 [18688/47500]	Loss: 0.6097	LR: 0.020000
Training Epoch: 27 [18944/47500]	Loss: 0.6477	LR: 0.020000
Training Epoch: 27 [19200/47500]	Loss: 0.5553	LR: 0.020000
Training Epoch: 27 [19456/47500]	Loss: 0.5386	LR: 0.020000
Training Epoch: 27 [19712/47500]	Loss: 0.5418	LR: 0.020000
Training Epoch: 27 [19968/47500]	Loss: 0.4953	LR: 0.020000
Training Epoch: 27 [20224/47500]	Loss: 0.5223	LR: 0.020000
Training Epoch: 27 [20480/47500]	Loss: 0.6931	LR: 0.020000
Training Epoch: 27 [20736/47500]	Loss: 0.5230	LR: 0.020000
Training Epoch: 27 [20992/47500]	Loss: 0.5589	LR: 0.020000
Training Epoch: 27 [21248/47500]	Loss: 0.5045	LR: 0.020000
Training Epoch: 27 [21504/47500]	Loss: 0.5944	LR: 0.020000
Training Epoch: 27 [21760/47500]	Loss: 0.5760	LR: 0.020000
Training Epoch: 27 [22016/47500]	Loss: 0.5505	LR: 0.020000
Training Epoch: 27 [22272/47500]	Loss: 0.5262	LR: 0.020000
Training Epoch: 27 [22528/47500]	Loss: 0.5682	LR: 0.020000
Training Epoch: 27 [22784/47500]	Loss: 0.5331	LR: 0.020000
Training Epoch: 27 [23040/47500]	Loss: 0.5790	LR: 0.020000
Training Epoch: 27 [23296/47500]	Loss: 0.5204	LR: 0.020000
Training Epoch: 27 [23552/47500]	Loss: 0.4971	LR: 0.020000
Training Epoch: 27 [23808/47500]	Loss: 0.5640	LR: 0.020000
Training Epoch: 27 [24064/47500]	Loss: 0.5377	LR: 0.020000
Training Epoch: 27 [24320/47500]	Loss: 0.4770	LR: 0.020000
Training Epoch: 27 [24576/47500]	Loss: 0.5679	LR: 0.020000
Training Epoch: 27 [24832/47500]	Loss: 0.5787	LR: 0.020000
Training Epoch: 27 [25088/47500]	Loss: 0.5068	LR: 0.020000
Training Epoch: 27 [25344/47500]	Loss: 0.6052	LR: 0.020000
Training Epoch: 27 [25600/47500]	Loss: 0.5329	LR: 0.020000
Training Epoch: 27 [25856/47500]	Loss: 0.4715	LR: 0.020000
Training Epoch: 27 [26112/47500]	Loss: 0.5439	LR: 0.020000
Training Epoch: 27 [26368/47500]	Loss: 0.5065	LR: 0.020000
Training Epoch: 27 [26624/47500]	Loss: 0.4959	LR: 0.020000
Training Epoch: 27 [26880/47500]	Loss: 0.5759	LR: 0.020000
Training Epoch: 27 [27136/47500]	Loss: 0.5601	LR: 0.020000
Training Epoch: 27 [27392/47500]	Loss: 0.4850	LR: 0.020000
Training Epoch: 27 [27648/47500]	Loss: 0.5025	LR: 0.020000
Training Epoch: 27 [27904/47500]	Loss: 0.5081	LR: 0.020000
Training Epoch: 27 [28160/47500]	Loss: 0.6550	LR: 0.020000
Training Epoch: 27 [28416/47500]	Loss: 0.5344	LR: 0.020000
Training Epoch: 27 [28672/47500]	Loss: 0.5072	LR: 0.020000
Training Epoch: 27 [28928/47500]	Loss: 0.7284	LR: 0.020000
Training Epoch: 27 [29184/47500]	Loss: 0.4487	LR: 0.020000
Training Epoch: 27 [29440/47500]	Loss: 0.6539	LR: 0.020000
Training Epoch: 27 [29696/47500]	Loss: 0.4776	LR: 0.020000
Training Epoch: 27 [29952/47500]	Loss: 0.5522	LR: 0.020000
Training Epoch: 27 [30208/47500]	Loss: 0.5426	LR: 0.020000
Training Epoch: 27 [30464/47500]	Loss: 0.4477	LR: 0.020000
Training Epoch: 27 [30720/47500]	Loss: 0.4249	LR: 0.020000
Training Epoch: 27 [30976/47500]	Loss: 0.5928	LR: 0.020000
Training Epoch: 27 [31232/47500]	Loss: 0.5935	LR: 0.020000
Training Epoch: 27 [31488/47500]	Loss: 0.4913	LR: 0.020000
Training Epoch: 27 [31744/47500]	Loss: 0.4931	LR: 0.020000
Training Epoch: 27 [32000/47500]	Loss: 0.5571	LR: 0.020000
Training Epoch: 27 [32256/47500]	Loss: 0.6127	LR: 0.020000
Training Epoch: 27 [32512/47500]	Loss: 0.5365	LR: 0.020000
Training Epoch: 27 [32768/47500]	Loss: 0.5983	LR: 0.020000
Training Epoch: 27 [33024/47500]	Loss: 0.5308	LR: 0.020000
Training Epoch: 27 [33280/47500]	Loss: 0.5192	LR: 0.020000
Training Epoch: 27 [33536/47500]	Loss: 0.5260	LR: 0.020000
Training Epoch: 27 [33792/47500]	Loss: 0.5964	LR: 0.020000
Training Epoch: 27 [34048/47500]	Loss: 0.5403	LR: 0.020000
Training Epoch: 27 [34304/47500]	Loss: 0.4964	LR: 0.020000
Training Epoch: 27 [34560/47500]	Loss: 0.5112	LR: 0.020000
Training Epoch: 27 [34816/47500]	Loss: 0.5152	LR: 0.020000
Training Epoch: 27 [35072/47500]	Loss: 0.6149	LR: 0.020000
Training Epoch: 27 [35328/47500]	Loss: 0.6142	LR: 0.020000
Training Epoch: 27 [35584/47500]	Loss: 0.5079	LR: 0.020000
Training Epoch: 27 [35840/47500]	Loss: 0.5996	LR: 0.020000
Training Epoch: 27 [36096/47500]	Loss: 0.5164	LR: 0.020000
Training Epoch: 27 [36352/47500]	Loss: 0.5755	LR: 0.020000
Training Epoch: 27 [36608/47500]	Loss: 0.4247	LR: 0.020000
Training Epoch: 27 [36864/47500]	Loss: 0.4912	LR: 0.020000
Training Epoch: 27 [37120/47500]	Loss: 0.5811	LR: 0.020000
Training Epoch: 27 [37376/47500]	Loss: 0.5978	LR: 0.020000
Training Epoch: 27 [37632/47500]	Loss: 0.5356	LR: 0.020000
Training Epoch: 27 [37888/47500]	Loss: 0.5857	LR: 0.020000
Training Epoch: 27 [38144/47500]	Loss: 0.5085	LR: 0.020000
Training Epoch: 27 [38400/47500]	Loss: 0.5421	LR: 0.020000
Training Epoch: 27 [38656/47500]	Loss: 0.5922	LR: 0.020000
Training Epoch: 27 [38912/47500]	Loss: 0.6294	LR: 0.020000
Training Epoch: 27 [39168/47500]	Loss: 0.5782	LR: 0.020000
Training Epoch: 27 [39424/47500]	Loss: 0.6561	LR: 0.020000
Training Epoch: 27 [39680/47500]	Loss: 0.5406	LR: 0.020000
Training Epoch: 27 [39936/47500]	Loss: 0.6704	LR: 0.020000
Training Epoch: 27 [40192/47500]	Loss: 0.5308	LR: 0.020000
Training Epoch: 27 [40448/47500]	Loss: 0.4939	LR: 0.020000
Training Epoch: 27 [40704/47500]	Loss: 0.5186	LR: 0.020000
Training Epoch: 27 [40960/47500]	Loss: 0.5157	LR: 0.020000
Training Epoch: 27 [41216/47500]	Loss: 0.5280	LR: 0.020000
Training Epoch: 27 [41472/47500]	Loss: 0.6176	LR: 0.020000
Training Epoch: 27 [41728/47500]	Loss: 0.4508	LR: 0.020000
Training Epoch: 27 [41984/47500]	Loss: 0.6208	LR: 0.020000
Training Epoch: 27 [42240/47500]	Loss: 0.4859	LR: 0.020000
Training Epoch: 27 [42496/47500]	Loss: 0.5284	LR: 0.020000
Training Epoch: 27 [42752/47500]	Loss: 0.5626	LR: 0.020000
Training Epoch: 27 [43008/47500]	Loss: 0.4951	LR: 0.020000
Training Epoch: 27 [43264/47500]	Loss: 0.5470	LR: 0.020000
Training Epoch: 27 [43520/47500]	Loss: 0.5319	LR: 0.020000
Training Epoch: 27 [43776/47500]	Loss: 0.4453	LR: 0.020000
Training Epoch: 27 [44032/47500]	Loss: 0.4632	LR: 0.020000
Training Epoch: 27 [44288/47500]	Loss: 0.4032	LR: 0.020000
Training Epoch: 27 [44544/47500]	Loss: 0.4946	LR: 0.020000
Training Epoch: 27 [44800/47500]	Loss: 0.4684	LR: 0.020000
Training Epoch: 27 [45056/47500]	Loss: 0.4397	LR: 0.020000
Training Epoch: 27 [45312/47500]	Loss: 0.6133	LR: 0.020000
Training Epoch: 27 [45568/47500]	Loss: 0.4411	LR: 0.020000
Training Epoch: 27 [45824/47500]	Loss: 0.5135	LR: 0.020000
Training Epoch: 27 [46080/47500]	Loss: 0.5730	LR: 0.020000
Training Epoch: 27 [46336/47500]	Loss: 0.6443	LR: 0.020000
Training Epoch: 27 [46592/47500]	Loss: 0.5087	LR: 0.020000
Training Epoch: 27 [46848/47500]	Loss: 0.5982	LR: 0.020000
Training Epoch: 27 [47104/47500]	Loss: 0.6438	LR: 0.020000
Training Epoch: 27 [47360/47500]	Loss: 0.5938	LR: 0.020000
Training Epoch: 27 [47500/47500]	Loss: 0.5751	LR: 0.020000
Epoch 27 - Average Train Loss: 0.5338, Train Accuracy: 0.8263
Epoch 27 training time consumed: 25.94s
Evaluating Network.....
Test set: Epoch: 27, Average loss: 0.0039, Accuracy: 0.7253, Time consumed:0.98s
Training Epoch: 28 [256/47500]	Loss: 0.4479	LR: 0.020000
Training Epoch: 28 [512/47500]	Loss: 0.5319	LR: 0.020000
Training Epoch: 28 [768/47500]	Loss: 0.4421	LR: 0.020000
Training Epoch: 28 [1024/47500]	Loss: 0.3703	LR: 0.020000
Training Epoch: 28 [1280/47500]	Loss: 0.5308	LR: 0.020000
Training Epoch: 28 [1536/47500]	Loss: 0.4656	LR: 0.020000
Training Epoch: 28 [1792/47500]	Loss: 0.5126	LR: 0.020000
Training Epoch: 28 [2048/47500]	Loss: 0.5064	LR: 0.020000
Training Epoch: 28 [2304/47500]	Loss: 0.5241	LR: 0.020000
Training Epoch: 28 [2560/47500]	Loss: 0.4419	LR: 0.020000
Training Epoch: 28 [2816/47500]	Loss: 0.4111	LR: 0.020000
Training Epoch: 28 [3072/47500]	Loss: 0.4465	LR: 0.020000
Training Epoch: 28 [3328/47500]	Loss: 0.4039	LR: 0.020000
Training Epoch: 28 [3584/47500]	Loss: 0.4318	LR: 0.020000
Training Epoch: 28 [3840/47500]	Loss: 0.5159	LR: 0.020000
Training Epoch: 28 [4096/47500]	Loss: 0.5826	LR: 0.020000
Training Epoch: 28 [4352/47500]	Loss: 0.5055	LR: 0.020000
Training Epoch: 28 [4608/47500]	Loss: 0.5385	LR: 0.020000
Training Epoch: 28 [4864/47500]	Loss: 0.4163	LR: 0.020000
Training Epoch: 28 [5120/47500]	Loss: 0.4927	LR: 0.020000
Training Epoch: 28 [5376/47500]	Loss: 0.5254	LR: 0.020000
Training Epoch: 28 [5632/47500]	Loss: 0.5444	LR: 0.020000
Training Epoch: 28 [5888/47500]	Loss: 0.4902	LR: 0.020000
Training Epoch: 28 [6144/47500]	Loss: 0.4972	LR: 0.020000
Training Epoch: 28 [6400/47500]	Loss: 0.4648	LR: 0.020000
Training Epoch: 28 [6656/47500]	Loss: 0.5146	LR: 0.020000
Training Epoch: 28 [6912/47500]	Loss: 0.4446	LR: 0.020000
Training Epoch: 28 [7168/47500]	Loss: 0.5864	LR: 0.020000
Training Epoch: 28 [7424/47500]	Loss: 0.4434	LR: 0.020000
Training Epoch: 28 [7680/47500]	Loss: 0.4570	LR: 0.020000
Training Epoch: 28 [7936/47500]	Loss: 0.4911	LR: 0.020000
Training Epoch: 28 [8192/47500]	Loss: 0.6030	LR: 0.020000
Training Epoch: 28 [8448/47500]	Loss: 0.5340	LR: 0.020000
Training Epoch: 28 [8704/47500]	Loss: 0.5090	LR: 0.020000
Training Epoch: 28 [8960/47500]	Loss: 0.5952	LR: 0.020000
Training Epoch: 28 [9216/47500]	Loss: 0.5491	LR: 0.020000
Training Epoch: 28 [9472/47500]	Loss: 0.5566	LR: 0.020000
Training Epoch: 28 [9728/47500]	Loss: 0.4663	LR: 0.020000
Training Epoch: 28 [9984/47500]	Loss: 0.5013	LR: 0.020000
Training Epoch: 28 [10240/47500]	Loss: 0.6457	LR: 0.020000
Training Epoch: 28 [10496/47500]	Loss: 0.4549	LR: 0.020000
Training Epoch: 28 [10752/47500]	Loss: 0.4989	LR: 0.020000
Training Epoch: 28 [11008/47500]	Loss: 0.5006	LR: 0.020000
Training Epoch: 28 [11264/47500]	Loss: 0.4838	LR: 0.020000
Training Epoch: 28 [11520/47500]	Loss: 0.5021	LR: 0.020000
Training Epoch: 28 [11776/47500]	Loss: 0.4985	LR: 0.020000
Training Epoch: 28 [12032/47500]	Loss: 0.4710	LR: 0.020000
Training Epoch: 28 [12288/47500]	Loss: 0.5184	LR: 0.020000
Training Epoch: 28 [12544/47500]	Loss: 0.5385	LR: 0.020000
Training Epoch: 28 [12800/47500]	Loss: 0.5468	LR: 0.020000
Training Epoch: 28 [13056/47500]	Loss: 0.5095	LR: 0.020000
Training Epoch: 28 [13312/47500]	Loss: 0.5504	LR: 0.020000
Training Epoch: 28 [13568/47500]	Loss: 0.4843	LR: 0.020000
Training Epoch: 28 [13824/47500]	Loss: 0.5059	LR: 0.020000
Training Epoch: 28 [14080/47500]	Loss: 0.5561	LR: 0.020000
Training Epoch: 28 [14336/47500]	Loss: 0.4919	LR: 0.020000
Training Epoch: 28 [14592/47500]	Loss: 0.4644	LR: 0.020000
Training Epoch: 28 [14848/47500]	Loss: 0.4427	LR: 0.020000
Training Epoch: 28 [15104/47500]	Loss: 0.5068	LR: 0.020000
Training Epoch: 28 [15360/47500]	Loss: 0.4113	LR: 0.020000
Training Epoch: 28 [15616/47500]	Loss: 0.4856	LR: 0.020000
Training Epoch: 28 [15872/47500]	Loss: 0.5509	LR: 0.020000
Training Epoch: 28 [16128/47500]	Loss: 0.5111	LR: 0.020000
Training Epoch: 28 [16384/47500]	Loss: 0.4209	LR: 0.020000
Training Epoch: 28 [16640/47500]	Loss: 0.5750	LR: 0.020000
Training Epoch: 28 [16896/47500]	Loss: 0.4883	LR: 0.020000
Training Epoch: 28 [17152/47500]	Loss: 0.6573	LR: 0.020000
Training Epoch: 28 [17408/47500]	Loss: 0.4145	LR: 0.020000
Training Epoch: 28 [17664/47500]	Loss: 0.4617	LR: 0.020000
Training Epoch: 28 [17920/47500]	Loss: 0.5071	LR: 0.020000
Training Epoch: 28 [18176/47500]	Loss: 0.5408	LR: 0.020000
Training Epoch: 28 [18432/47500]	Loss: 0.5014	LR: 0.020000
Training Epoch: 28 [18688/47500]	Loss: 0.4926	LR: 0.020000
Training Epoch: 28 [18944/47500]	Loss: 0.5284	LR: 0.020000
Training Epoch: 28 [19200/47500]	Loss: 0.5906	LR: 0.020000
Training Epoch: 28 [19456/47500]	Loss: 0.4167	LR: 0.020000
Training Epoch: 28 [19712/47500]	Loss: 0.5959	LR: 0.020000
Training Epoch: 28 [19968/47500]	Loss: 0.4280	LR: 0.020000
Training Epoch: 28 [20224/47500]	Loss: 0.4654	LR: 0.020000
Training Epoch: 28 [20480/47500]	Loss: 0.6123	LR: 0.020000
Training Epoch: 28 [20736/47500]	Loss: 0.4173	LR: 0.020000
Training Epoch: 28 [20992/47500]	Loss: 0.5217	LR: 0.020000
Training Epoch: 28 [21248/47500]	Loss: 0.4210	LR: 0.020000
Training Epoch: 28 [21504/47500]	Loss: 0.5310	LR: 0.020000
Training Epoch: 28 [21760/47500]	Loss: 0.4605	LR: 0.020000
Training Epoch: 28 [22016/47500]	Loss: 0.5063	LR: 0.020000
Training Epoch: 28 [22272/47500]	Loss: 0.3835	LR: 0.020000
Training Epoch: 28 [22528/47500]	Loss: 0.5162	LR: 0.020000
Training Epoch: 28 [22784/47500]	Loss: 0.4714	LR: 0.020000
Training Epoch: 28 [23040/47500]	Loss: 0.4986	LR: 0.020000
Training Epoch: 28 [23296/47500]	Loss: 0.5302	LR: 0.020000
Training Epoch: 28 [23552/47500]	Loss: 0.4636	LR: 0.020000
Training Epoch: 28 [23808/47500]	Loss: 0.5225	LR: 0.020000
Training Epoch: 28 [24064/47500]	Loss: 0.5398	LR: 0.020000
Training Epoch: 28 [24320/47500]	Loss: 0.5250	LR: 0.020000
Training Epoch: 28 [24576/47500]	Loss: 0.4317	LR: 0.020000
Training Epoch: 28 [24832/47500]	Loss: 0.5590	LR: 0.020000
Training Epoch: 28 [25088/47500]	Loss: 0.4983	LR: 0.020000
Training Epoch: 28 [25344/47500]	Loss: 0.5495	LR: 0.020000
Training Epoch: 28 [25600/47500]	Loss: 0.5985	LR: 0.020000
Training Epoch: 28 [25856/47500]	Loss: 0.4975	LR: 0.020000
Training Epoch: 28 [26112/47500]	Loss: 0.4820	LR: 0.020000
Training Epoch: 28 [26368/47500]	Loss: 0.4973	LR: 0.020000
Training Epoch: 28 [26624/47500]	Loss: 0.4390	LR: 0.020000
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Training Epoch: 28 [27136/47500]	Loss: 0.5046	LR: 0.020000
Training Epoch: 28 [27392/47500]	Loss: 0.5274	LR: 0.020000
Training Epoch: 28 [27648/47500]	Loss: 0.5201	LR: 0.020000
Training Epoch: 28 [27904/47500]	Loss: 0.4738	LR: 0.020000
Training Epoch: 28 [28160/47500]	Loss: 0.4283	LR: 0.020000
Training Epoch: 28 [28416/47500]	Loss: 0.5519	LR: 0.020000
Training Epoch: 28 [28672/47500]	Loss: 0.5450	LR: 0.020000
Training Epoch: 28 [28928/47500]	Loss: 0.5817	LR: 0.020000
Training Epoch: 28 [29184/47500]	Loss: 0.5923	LR: 0.020000
Training Epoch: 28 [29440/47500]	Loss: 0.5450	LR: 0.020000
Training Epoch: 28 [29696/47500]	Loss: 0.4595	LR: 0.020000
Training Epoch: 28 [29952/47500]	Loss: 0.6126	LR: 0.020000
Training Epoch: 28 [30208/47500]	Loss: 0.4890	LR: 0.020000
Training Epoch: 28 [30464/47500]	Loss: 0.4465	LR: 0.020000
Training Epoch: 28 [30720/47500]	Loss: 0.4486	LR: 0.020000
Training Epoch: 28 [30976/47500]	Loss: 0.5735	LR: 0.020000
Training Epoch: 28 [31232/47500]	Loss: 0.6729	LR: 0.020000
Training Epoch: 28 [31488/47500]	Loss: 0.5385	LR: 0.020000
Training Epoch: 28 [31744/47500]	Loss: 0.5696	LR: 0.020000
Training Epoch: 28 [32000/47500]	Loss: 0.6087	LR: 0.020000
Training Epoch: 28 [32256/47500]	Loss: 0.4913	LR: 0.020000
Training Epoch: 28 [32512/47500]	Loss: 0.4455	LR: 0.020000
Training Epoch: 28 [32768/47500]	Loss: 0.5199	LR: 0.020000
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Training Epoch: 28 [35072/47500]	Loss: 0.5269	LR: 0.020000
Training Epoch: 28 [35328/47500]	Loss: 0.6360	LR: 0.020000
Training Epoch: 28 [35584/47500]	Loss: 0.4935	LR: 0.020000
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Training Epoch: 28 [36096/47500]	Loss: 0.5229	LR: 0.020000
Training Epoch: 28 [36352/47500]	Loss: 0.4804	LR: 0.020000
Training Epoch: 28 [36608/47500]	Loss: 0.6997	LR: 0.020000
Training Epoch: 28 [36864/47500]	Loss: 0.5188	LR: 0.020000
Training Epoch: 28 [37120/47500]	Loss: 0.6899	LR: 0.020000
Training Epoch: 28 [37376/47500]	Loss: 0.5581	LR: 0.020000
Training Epoch: 28 [37632/47500]	Loss: 0.5156	LR: 0.020000
Training Epoch: 28 [37888/47500]	Loss: 0.6618	LR: 0.020000
Training Epoch: 28 [38144/47500]	Loss: 0.6223	LR: 0.020000
Training Epoch: 28 [38400/47500]	Loss: 0.4819	LR: 0.020000
Training Epoch: 28 [38656/47500]	Loss: 0.5058	LR: 0.020000
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Training Epoch: 28 [39168/47500]	Loss: 0.5817	LR: 0.020000
Training Epoch: 28 [39424/47500]	Loss: 0.4562	LR: 0.020000
Training Epoch: 28 [39680/47500]	Loss: 0.4943	LR: 0.020000
Training Epoch: 28 [39936/47500]	Loss: 0.5229	LR: 0.020000
Training Epoch: 28 [40192/47500]	Loss: 0.5145	LR: 0.020000
Training Epoch: 28 [40448/47500]	Loss: 0.5504	LR: 0.020000
Training Epoch: 28 [40704/47500]	Loss: 0.6450	LR: 0.020000
Training Epoch: 28 [40960/47500]	Loss: 0.5827	LR: 0.020000
Training Epoch: 28 [41216/47500]	Loss: 0.5481	LR: 0.020000
Training Epoch: 28 [41472/47500]	Loss: 0.6049	LR: 0.020000
Training Epoch: 28 [41728/47500]	Loss: 0.6246	LR: 0.020000
Training Epoch: 28 [41984/47500]	Loss: 0.5443	LR: 0.020000
Training Epoch: 28 [42240/47500]	Loss: 0.6330	LR: 0.020000
Training Epoch: 28 [42496/47500]	Loss: 0.4765	LR: 0.020000
Training Epoch: 28 [42752/47500]	Loss: 0.4952	LR: 0.020000
Training Epoch: 28 [43008/47500]	Loss: 0.6655	LR: 0.020000
Training Epoch: 28 [43264/47500]	Loss: 0.4971	LR: 0.020000
Training Epoch: 28 [43520/47500]	Loss: 0.4635	LR: 0.020000
Training Epoch: 28 [43776/47500]	Loss: 0.6383	LR: 0.020000
Training Epoch: 28 [44032/47500]	Loss: 0.5176	LR: 0.020000
Training Epoch: 28 [44288/47500]	Loss: 0.5182	LR: 0.020000
Training Epoch: 28 [44544/47500]	Loss: 0.5061	LR: 0.020000
Training Epoch: 28 [44800/47500]	Loss: 0.4923	LR: 0.020000
Training Epoch: 28 [45056/47500]	Loss: 0.4634	LR: 0.020000
Training Epoch: 28 [45312/47500]	Loss: 0.5024	LR: 0.020000
Training Epoch: 28 [45568/47500]	Loss: 0.5476	LR: 0.020000
Training Epoch: 28 [45824/47500]	Loss: 0.5962	LR: 0.020000
Training Epoch: 28 [46080/47500]	Loss: 0.5257	LR: 0.020000
Training Epoch: 28 [46336/47500]	Loss: 0.5071	LR: 0.020000
Training Epoch: 28 [46592/47500]	Loss: 0.6379	LR: 0.020000
Training Epoch: 28 [46848/47500]	Loss: 0.5420	LR: 0.020000
Training Epoch: 28 [47104/47500]	Loss: 0.5051	LR: 0.020000
Training Epoch: 28 [47360/47500]	Loss: 0.4968	LR: 0.020000
Training Epoch: 28 [47500/47500]	Loss: 0.4959	LR: 0.020000
Epoch 28 - Average Train Loss: 0.5203, Train Accuracy: 0.8304
Epoch 28 training time consumed: 25.97s
Evaluating Network.....
Test set: Epoch: 28, Average loss: 0.0037, Accuracy: 0.7297, Time consumed:0.90s
Training Epoch: 29 [256/47500]	Loss: 0.4973	LR: 0.020000
Training Epoch: 29 [512/47500]	Loss: 0.4571	LR: 0.020000
Training Epoch: 29 [768/47500]	Loss: 0.5019	LR: 0.020000
Training Epoch: 29 [1024/47500]	Loss: 0.4855	LR: 0.020000
Training Epoch: 29 [1280/47500]	Loss: 0.4968	LR: 0.020000
Training Epoch: 29 [1536/47500]	Loss: 0.4876	LR: 0.020000
Training Epoch: 29 [1792/47500]	Loss: 0.5319	LR: 0.020000
Training Epoch: 29 [2048/47500]	Loss: 0.4410	LR: 0.020000
Training Epoch: 29 [2304/47500]	Loss: 0.5940	LR: 0.020000
Training Epoch: 29 [2560/47500]	Loss: 0.5075	LR: 0.020000
Training Epoch: 29 [2816/47500]	Loss: 0.5100	LR: 0.020000
Training Epoch: 29 [3072/47500]	Loss: 0.4853	LR: 0.020000
Training Epoch: 29 [3328/47500]	Loss: 0.4961	LR: 0.020000
Training Epoch: 29 [3584/47500]	Loss: 0.5596	LR: 0.020000
Training Epoch: 29 [3840/47500]	Loss: 0.6320	LR: 0.020000
Training Epoch: 29 [4096/47500]	Loss: 0.4306	LR: 0.020000
Training Epoch: 29 [4352/47500]	Loss: 0.4644	LR: 0.020000
Training Epoch: 29 [4608/47500]	Loss: 0.5421	LR: 0.020000
Training Epoch: 29 [4864/47500]	Loss: 0.4283	LR: 0.020000
Training Epoch: 29 [5120/47500]	Loss: 0.5524	LR: 0.020000
Training Epoch: 29 [5376/47500]	Loss: 0.4962	LR: 0.020000
Training Epoch: 29 [5632/47500]	Loss: 0.5254	LR: 0.020000
Training Epoch: 29 [5888/47500]	Loss: 0.4669	LR: 0.020000
Training Epoch: 29 [6144/47500]	Loss: 0.5095	LR: 0.020000
Training Epoch: 29 [6400/47500]	Loss: 0.4944	LR: 0.020000
Training Epoch: 29 [6656/47500]	Loss: 0.4396	LR: 0.020000
Training Epoch: 29 [6912/47500]	Loss: 0.6612	LR: 0.020000
Training Epoch: 29 [7168/47500]	Loss: 0.4523	LR: 0.020000
Training Epoch: 29 [7424/47500]	Loss: 0.5109	LR: 0.020000
Training Epoch: 29 [7680/47500]	Loss: 0.4372	LR: 0.020000
Training Epoch: 29 [7936/47500]	Loss: 0.5624	LR: 0.020000
Training Epoch: 29 [8192/47500]	Loss: 0.5058	LR: 0.020000
Training Epoch: 29 [8448/47500]	Loss: 0.4672	LR: 0.020000
Training Epoch: 29 [8704/47500]	Loss: 0.5155	LR: 0.020000
Training Epoch: 29 [8960/47500]	Loss: 0.4180	LR: 0.020000
Training Epoch: 29 [9216/47500]	Loss: 0.4680	LR: 0.020000
Training Epoch: 29 [9472/47500]	Loss: 0.5692	LR: 0.020000
Training Epoch: 29 [9728/47500]	Loss: 0.5811	LR: 0.020000
Training Epoch: 29 [9984/47500]	Loss: 0.4913	LR: 0.020000
Training Epoch: 29 [10240/47500]	Loss: 0.5248	LR: 0.020000
Training Epoch: 29 [10496/47500]	Loss: 0.5442	LR: 0.020000
Training Epoch: 29 [10752/47500]	Loss: 0.5051	LR: 0.020000
Training Epoch: 29 [11008/47500]	Loss: 0.5123	LR: 0.020000
Training Epoch: 29 [11264/47500]	Loss: 0.5354	LR: 0.020000
Training Epoch: 29 [11520/47500]	Loss: 0.5086	LR: 0.020000
Training Epoch: 29 [11776/47500]	Loss: 0.4298	LR: 0.020000
Training Epoch: 29 [12032/47500]	Loss: 0.5196	LR: 0.020000
Training Epoch: 29 [12288/47500]	Loss: 0.5233	LR: 0.020000
Training Epoch: 29 [12544/47500]	Loss: 0.4914	LR: 0.020000
Training Epoch: 29 [12800/47500]	Loss: 0.5348	LR: 0.020000
Training Epoch: 29 [13056/47500]	Loss: 0.6084	LR: 0.020000
Training Epoch: 29 [13312/47500]	Loss: 0.5109	LR: 0.020000
Training Epoch: 29 [13568/47500]	Loss: 0.5462	LR: 0.020000
Training Epoch: 29 [13824/47500]	Loss: 0.4961	LR: 0.020000
Training Epoch: 29 [14080/47500]	Loss: 0.5109	LR: 0.020000
Training Epoch: 29 [14336/47500]	Loss: 0.5528	LR: 0.020000
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Training Epoch: 29 [15104/47500]	Loss: 0.5022	LR: 0.020000
Training Epoch: 29 [15360/47500]	Loss: 0.4902	LR: 0.020000
Training Epoch: 29 [15616/47500]	Loss: 0.5784	LR: 0.020000
Training Epoch: 29 [15872/47500]	Loss: 0.6050	LR: 0.020000
Training Epoch: 29 [16128/47500]	Loss: 0.5481	LR: 0.020000
Training Epoch: 29 [16384/47500]	Loss: 0.5350	LR: 0.020000
Training Epoch: 29 [16640/47500]	Loss: 0.4801	LR: 0.020000
Training Epoch: 29 [16896/47500]	Loss: 0.5004	LR: 0.020000
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Training Epoch: 29 [18176/47500]	Loss: 0.4973	LR: 0.020000
Training Epoch: 29 [18432/47500]	Loss: 0.4871	LR: 0.020000
Training Epoch: 29 [18688/47500]	Loss: 0.5098	LR: 0.020000
Training Epoch: 29 [18944/47500]	Loss: 0.4855	LR: 0.020000
Training Epoch: 29 [19200/47500]	Loss: 0.4369	LR: 0.020000
Training Epoch: 29 [19456/47500]	Loss: 0.5069	LR: 0.020000
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Training Epoch: 29 [19968/47500]	Loss: 0.3873	LR: 0.020000
Training Epoch: 29 [20224/47500]	Loss: 0.4653	LR: 0.020000
Training Epoch: 29 [20480/47500]	Loss: 0.6469	LR: 0.020000
Training Epoch: 29 [20736/47500]	Loss: 0.5256	LR: 0.020000
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Training Epoch: 29 [21248/47500]	Loss: 0.4429	LR: 0.020000
Training Epoch: 29 [21504/47500]	Loss: 0.5523	LR: 0.020000
Training Epoch: 29 [21760/47500]	Loss: 0.5006	LR: 0.020000
Training Epoch: 29 [22016/47500]	Loss: 0.4688	LR: 0.020000
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Training Epoch: 29 [22528/47500]	Loss: 0.4163	LR: 0.020000
Training Epoch: 29 [22784/47500]	Loss: 0.5491	LR: 0.020000
Training Epoch: 29 [23040/47500]	Loss: 0.4972	LR: 0.020000
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Training Epoch: 29 [26112/47500]	Loss: 0.4128	LR: 0.020000
Training Epoch: 29 [26368/47500]	Loss: 0.4147	LR: 0.020000
Training Epoch: 29 [26624/47500]	Loss: 0.4799	LR: 0.020000
Training Epoch: 29 [26880/47500]	Loss: 0.5124	LR: 0.020000
Training Epoch: 29 [27136/47500]	Loss: 0.5943	LR: 0.020000
Training Epoch: 29 [27392/47500]	Loss: 0.5937	LR: 0.020000
Training Epoch: 29 [27648/47500]	Loss: 0.5321	LR: 0.020000
Training Epoch: 29 [27904/47500]	Loss: 0.5531	LR: 0.020000
Training Epoch: 29 [28160/47500]	Loss: 0.5834	LR: 0.020000
Training Epoch: 29 [28416/47500]	Loss: 0.6005	LR: 0.020000
Training Epoch: 29 [28672/47500]	Loss: 0.5670	LR: 0.020000
Training Epoch: 29 [28928/47500]	Loss: 0.3629	LR: 0.020000
Training Epoch: 29 [29184/47500]	Loss: 0.5178	LR: 0.020000
Training Epoch: 29 [29440/47500]	Loss: 0.5644	LR: 0.020000
Training Epoch: 29 [29696/47500]	Loss: 0.3924	LR: 0.020000
Training Epoch: 29 [29952/47500]	Loss: 0.5490	LR: 0.020000
Training Epoch: 29 [30208/47500]	Loss: 0.5873	LR: 0.020000
Training Epoch: 29 [30464/47500]	Loss: 0.5372	LR: 0.020000
Training Epoch: 29 [30720/47500]	Loss: 0.4629	LR: 0.020000
Training Epoch: 29 [30976/47500]	Loss: 0.5146	LR: 0.020000
Training Epoch: 29 [31232/47500]	Loss: 0.5440	LR: 0.020000
Training Epoch: 29 [31488/47500]	Loss: 0.5734	LR: 0.020000
Training Epoch: 29 [31744/47500]	Loss: 0.5364	LR: 0.020000
Training Epoch: 29 [32000/47500]	Loss: 0.4248	LR: 0.020000
Training Epoch: 29 [32256/47500]	Loss: 0.5201	LR: 0.020000
Training Epoch: 29 [32512/47500]	Loss: 0.6116	LR: 0.020000
Training Epoch: 29 [32768/47500]	Loss: 0.4667	LR: 0.020000
Training Epoch: 29 [33024/47500]	Loss: 0.5745	LR: 0.020000
Training Epoch: 29 [33280/47500]	Loss: 0.5244	LR: 0.020000
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Training Epoch: 29 [34560/47500]	Loss: 0.4408	LR: 0.020000
Training Epoch: 29 [34816/47500]	Loss: 0.4512	LR: 0.020000
Training Epoch: 29 [35072/47500]	Loss: 0.5805	LR: 0.020000
Training Epoch: 29 [35328/47500]	Loss: 0.4301	LR: 0.020000
Training Epoch: 29 [35584/47500]	Loss: 0.5563	LR: 0.020000
Training Epoch: 29 [35840/47500]	Loss: 0.4273	LR: 0.020000
Training Epoch: 29 [36096/47500]	Loss: 0.4664	LR: 0.020000
Training Epoch: 29 [36352/47500]	Loss: 0.5589	LR: 0.020000
Training Epoch: 29 [36608/47500]	Loss: 0.4812	LR: 0.020000
Training Epoch: 29 [36864/47500]	Loss: 0.4753	LR: 0.020000
Training Epoch: 29 [37120/47500]	Loss: 0.3767	LR: 0.020000
Training Epoch: 29 [37376/47500]	Loss: 0.4904	LR: 0.020000
Training Epoch: 29 [37632/47500]	Loss: 0.4901	LR: 0.020000
Training Epoch: 29 [37888/47500]	Loss: 0.5407	LR: 0.020000
Training Epoch: 29 [38144/47500]	Loss: 0.6003	LR: 0.020000
Training Epoch: 29 [38400/47500]	Loss: 0.4997	LR: 0.020000
Training Epoch: 29 [38656/47500]	Loss: 0.4904	LR: 0.020000
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Training Epoch: 29 [39168/47500]	Loss: 0.5806	LR: 0.020000
Training Epoch: 29 [39424/47500]	Loss: 0.4265	LR: 0.020000
Training Epoch: 29 [39680/47500]	Loss: 0.5567	LR: 0.020000
Training Epoch: 29 [39936/47500]	Loss: 0.5566	LR: 0.020000
Training Epoch: 29 [40192/47500]	Loss: 0.5696	LR: 0.020000
Training Epoch: 29 [40448/47500]	Loss: 0.4697	LR: 0.020000
Training Epoch: 29 [40704/47500]	Loss: 0.5930	LR: 0.020000
Training Epoch: 29 [40960/47500]	Loss: 0.5652	LR: 0.020000
Training Epoch: 29 [41216/47500]	Loss: 0.5082	LR: 0.020000
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Training Epoch: 29 [41728/47500]	Loss: 0.5204	LR: 0.020000
Training Epoch: 29 [41984/47500]	Loss: 0.5665	LR: 0.020000
Training Epoch: 29 [42240/47500]	Loss: 0.5608	LR: 0.020000
Training Epoch: 29 [42496/47500]	Loss: 0.4618	LR: 0.020000
Training Epoch: 29 [42752/47500]	Loss: 0.5439	LR: 0.020000
Training Epoch: 29 [43008/47500]	Loss: 0.4549	LR: 0.020000
Training Epoch: 29 [43264/47500]	Loss: 0.5309	LR: 0.020000
Training Epoch: 29 [43520/47500]	Loss: 0.6494	LR: 0.020000
Training Epoch: 29 [43776/47500]	Loss: 0.5729	LR: 0.020000
Training Epoch: 29 [44032/47500]	Loss: 0.5198	LR: 0.020000
Training Epoch: 29 [44288/47500]	Loss: 0.5688	LR: 0.020000
Training Epoch: 29 [44544/47500]	Loss: 0.5689	LR: 0.020000
Training Epoch: 29 [44800/47500]	Loss: 0.5561	LR: 0.020000
Training Epoch: 29 [45056/47500]	Loss: 0.5666	LR: 0.020000
Training Epoch: 29 [45312/47500]	Loss: 0.6079	LR: 0.020000
Training Epoch: 29 [45568/47500]	Loss: 0.6429	LR: 0.020000
Training Epoch: 29 [45824/47500]	Loss: 0.4828	LR: 0.020000
Training Epoch: 29 [46080/47500]	Loss: 0.5612	LR: 0.020000
Training Epoch: 29 [46336/47500]	Loss: 0.5899	LR: 0.020000
Training Epoch: 29 [46592/47500]	Loss: 0.6342	LR: 0.020000
Training Epoch: 29 [46848/47500]	Loss: 0.5375	LR: 0.020000
Training Epoch: 29 [47104/47500]	Loss: 0.5989	LR: 0.020000
Training Epoch: 29 [47360/47500]	Loss: 0.6587	LR: 0.020000
Training Epoch: 29 [47500/47500]	Loss: 0.6078	LR: 0.020000
Epoch 29 - Average Train Loss: 0.5187, Train Accuracy: 0.8294
Epoch 29 training time consumed: 25.92s
Evaluating Network.....
Test set: Epoch: 29, Average loss: 0.0038, Accuracy: 0.7235, Time consumed:0.90s
Training Epoch: 30 [256/47500]	Loss: 0.5904	LR: 0.004000
Training Epoch: 30 [512/47500]	Loss: 0.5042	LR: 0.004000
Training Epoch: 30 [768/47500]	Loss: 0.4178	LR: 0.004000
Training Epoch: 30 [1024/47500]	Loss: 0.5352	LR: 0.004000
Training Epoch: 30 [1280/47500]	Loss: 0.4802	LR: 0.004000
Training Epoch: 30 [1536/47500]	Loss: 0.4279	LR: 0.004000
Training Epoch: 30 [1792/47500]	Loss: 0.5803	LR: 0.004000
Training Epoch: 30 [2048/47500]	Loss: 0.5207	LR: 0.004000
Training Epoch: 30 [2304/47500]	Loss: 0.4432	LR: 0.004000
Training Epoch: 30 [2560/47500]	Loss: 0.5035	LR: 0.004000
Training Epoch: 30 [2816/47500]	Loss: 0.4461	LR: 0.004000
Training Epoch: 30 [3072/47500]	Loss: 0.3705	LR: 0.004000
Training Epoch: 30 [3328/47500]	Loss: 0.4575	LR: 0.004000
Training Epoch: 30 [3584/47500]	Loss: 0.5138	LR: 0.004000
Training Epoch: 30 [3840/47500]	Loss: 0.4769	LR: 0.004000
Training Epoch: 30 [4096/47500]	Loss: 0.4926	LR: 0.004000
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Training Epoch: 30 [47500/47500]	Loss: 0.3083	LR: 0.004000
Epoch 30 - Average Train Loss: 0.3988, Train Accuracy: 0.8738
Epoch 30 training time consumed: 26.09s
Evaluating Network.....
Test set: Epoch: 30, Average loss: 0.0029, Accuracy: 0.7813, Time consumed:0.94s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_22h_16m_46s/AllCNN-Cifar20-seed6-ret50-30-best.pth
Training Epoch: 31 [256/47500]	Loss: 0.3913	LR: 0.004000
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Training Epoch: 31 [44288/47500]	Loss: 0.3311	LR: 0.004000
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Training Epoch: 31 [45056/47500]	Loss: 0.3588	LR: 0.004000
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Training Epoch: 31 [45824/47500]	Loss: 0.3119	LR: 0.004000
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Training Epoch: 31 [46336/47500]	Loss: 0.3271	LR: 0.004000
Training Epoch: 31 [46592/47500]	Loss: 0.3168	LR: 0.004000
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Training Epoch: 31 [47360/47500]	Loss: 0.3150	LR: 0.004000
Training Epoch: 31 [47500/47500]	Loss: 0.3103	LR: 0.004000
Epoch 31 - Average Train Loss: 0.3655, Train Accuracy: 0.8877
Epoch 31 training time consumed: 25.99s
Evaluating Network.....
Test set: Epoch: 31, Average loss: 0.0029, Accuracy: 0.7813, Time consumed:0.87s
Training Epoch: 32 [256/47500]	Loss: 0.3273	LR: 0.004000
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Training Epoch: 32 [1536/47500]	Loss: 0.2361	LR: 0.004000
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Training Epoch: 32 [46592/47500]	Loss: 0.3514	LR: 0.004000
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Training Epoch: 32 [47360/47500]	Loss: 0.3471	LR: 0.004000
Training Epoch: 32 [47500/47500]	Loss: 0.4212	LR: 0.004000
Epoch 32 - Average Train Loss: 0.3463, Train Accuracy: 0.8938
Epoch 32 training time consumed: 26.01s
Evaluating Network.....
Test set: Epoch: 32, Average loss: 0.0029, Accuracy: 0.7850, Time consumed:1.00s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_22h_16m_46s/AllCNN-Cifar20-seed6-ret50-32-best.pth
Training Epoch: 33 [256/47500]	Loss: 0.3192	LR: 0.004000
Training Epoch: 33 [512/47500]	Loss: 0.3307	LR: 0.004000
Training Epoch: 33 [768/47500]	Loss: 0.3973	LR: 0.004000
Training Epoch: 33 [1024/47500]	Loss: 0.3001	LR: 0.004000
Training Epoch: 33 [1280/47500]	Loss: 0.4002	LR: 0.004000
Training Epoch: 33 [1536/47500]	Loss: 0.2393	LR: 0.004000
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Training Epoch: 33 [47500/47500]	Loss: 0.2697	LR: 0.004000
Epoch 33 - Average Train Loss: 0.3386, Train Accuracy: 0.8948
Epoch 33 training time consumed: 25.95s
Evaluating Network.....
Test set: Epoch: 33, Average loss: 0.0029, Accuracy: 0.7864, Time consumed:0.87s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_22h_16m_46s/AllCNN-Cifar20-seed6-ret50-33-best.pth
Training Epoch: 34 [256/47500]	Loss: 0.3601	LR: 0.004000
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Training Epoch: 34 [32256/47500]	Loss: 0.3929	LR: 0.004000
Training Epoch: 34 [32512/47500]	Loss: 0.2825	LR: 0.004000
Training Epoch: 34 [32768/47500]	Loss: 0.3854	LR: 0.004000
Training Epoch: 34 [33024/47500]	Loss: 0.3225	LR: 0.004000
Training Epoch: 34 [33280/47500]	Loss: 0.3357	LR: 0.004000
Training Epoch: 34 [33536/47500]	Loss: 0.3127	LR: 0.004000
Training Epoch: 34 [33792/47500]	Loss: 0.2382	LR: 0.004000
Training Epoch: 34 [34048/47500]	Loss: 0.3575	LR: 0.004000
Training Epoch: 34 [34304/47500]	Loss: 0.2981	LR: 0.004000
Training Epoch: 34 [34560/47500]	Loss: 0.3084	LR: 0.004000
Training Epoch: 34 [34816/47500]	Loss: 0.3519	LR: 0.004000
Training Epoch: 34 [35072/47500]	Loss: 0.3718	LR: 0.004000
Training Epoch: 34 [35328/47500]	Loss: 0.3275	LR: 0.004000
Training Epoch: 34 [35584/47500]	Loss: 0.3549	LR: 0.004000
Training Epoch: 34 [35840/47500]	Loss: 0.3652	LR: 0.004000
Training Epoch: 34 [36096/47500]	Loss: 0.3200	LR: 0.004000
Training Epoch: 34 [36352/47500]	Loss: 0.3126	LR: 0.004000
Training Epoch: 34 [36608/47500]	Loss: 0.2631	LR: 0.004000
Training Epoch: 34 [36864/47500]	Loss: 0.4046	LR: 0.004000
Training Epoch: 34 [37120/47500]	Loss: 0.2892	LR: 0.004000
Training Epoch: 34 [37376/47500]	Loss: 0.3330	LR: 0.004000
Training Epoch: 34 [37632/47500]	Loss: 0.2462	LR: 0.004000
Training Epoch: 34 [37888/47500]	Loss: 0.3761	LR: 0.004000
Training Epoch: 34 [38144/47500]	Loss: 0.3125	LR: 0.004000
Training Epoch: 34 [38400/47500]	Loss: 0.3265	LR: 0.004000
Training Epoch: 34 [38656/47500]	Loss: 0.3014	LR: 0.004000
Training Epoch: 34 [38912/47500]	Loss: 0.3341	LR: 0.004000
Training Epoch: 34 [39168/47500]	Loss: 0.3439	LR: 0.004000
Training Epoch: 34 [39424/47500]	Loss: 0.3895	LR: 0.004000
Training Epoch: 34 [39680/47500]	Loss: 0.3356	LR: 0.004000
Training Epoch: 34 [39936/47500]	Loss: 0.2962	LR: 0.004000
Training Epoch: 34 [40192/47500]	Loss: 0.3626	LR: 0.004000
Training Epoch: 34 [40448/47500]	Loss: 0.5045	LR: 0.004000
Training Epoch: 34 [40704/47500]	Loss: 0.3417	LR: 0.004000
Training Epoch: 34 [40960/47500]	Loss: 0.3055	LR: 0.004000
Training Epoch: 34 [41216/47500]	Loss: 0.3638	LR: 0.004000
Training Epoch: 34 [41472/47500]	Loss: 0.3019	LR: 0.004000
Training Epoch: 34 [41728/47500]	Loss: 0.2782	LR: 0.004000
Training Epoch: 34 [41984/47500]	Loss: 0.3137	LR: 0.004000
Training Epoch: 34 [42240/47500]	Loss: 0.4297	LR: 0.004000
Training Epoch: 34 [42496/47500]	Loss: 0.3471	LR: 0.004000
Training Epoch: 34 [42752/47500]	Loss: 0.3492	LR: 0.004000
Training Epoch: 34 [43008/47500]	Loss: 0.3165	LR: 0.004000
Training Epoch: 34 [43264/47500]	Loss: 0.3299	LR: 0.004000
Training Epoch: 34 [43520/47500]	Loss: 0.2787	LR: 0.004000
Training Epoch: 34 [43776/47500]	Loss: 0.2730	LR: 0.004000
Training Epoch: 34 [44032/47500]	Loss: 0.3307	LR: 0.004000
Training Epoch: 34 [44288/47500]	Loss: 0.3046	LR: 0.004000
Training Epoch: 34 [44544/47500]	Loss: 0.2906	LR: 0.004000
Training Epoch: 34 [44800/47500]	Loss: 0.3427	LR: 0.004000
Training Epoch: 34 [45056/47500]	Loss: 0.3804	LR: 0.004000
Training Epoch: 34 [45312/47500]	Loss: 0.3540	LR: 0.004000
Training Epoch: 34 [45568/47500]	Loss: 0.3030	LR: 0.004000
Training Epoch: 34 [45824/47500]	Loss: 0.3290	LR: 0.004000
Training Epoch: 34 [46080/47500]	Loss: 0.2512	LR: 0.004000
Training Epoch: 34 [46336/47500]	Loss: 0.3594	LR: 0.004000
Training Epoch: 34 [46592/47500]	Loss: 0.3105	LR: 0.004000
Training Epoch: 34 [46848/47500]	Loss: 0.3484	LR: 0.004000
Training Epoch: 34 [47104/47500]	Loss: 0.3844	LR: 0.004000
Training Epoch: 34 [47360/47500]	Loss: 0.4239	LR: 0.004000
Training Epoch: 34 [47500/47500]	Loss: 0.3286	LR: 0.004000
Epoch 34 - Average Train Loss: 0.3288, Train Accuracy: 0.8983
Epoch 34 training time consumed: 25.97s
Evaluating Network.....
Test set: Epoch: 34, Average loss: 0.0029, Accuracy: 0.7830, Time consumed:0.90s
Training Epoch: 35 [256/47500]	Loss: 0.3847	LR: 0.000800
Training Epoch: 35 [512/47500]	Loss: 0.3364	LR: 0.000800
Training Epoch: 35 [768/47500]	Loss: 0.3318	LR: 0.000800
Training Epoch: 35 [1024/47500]	Loss: 0.3430	LR: 0.000800
Training Epoch: 35 [1280/47500]	Loss: 0.2606	LR: 0.000800
Training Epoch: 35 [1536/47500]	Loss: 0.3511	LR: 0.000800
Training Epoch: 35 [1792/47500]	Loss: 0.2729	LR: 0.000800
Training Epoch: 35 [2048/47500]	Loss: 0.3014	LR: 0.000800
Training Epoch: 35 [2304/47500]	Loss: 0.2977	LR: 0.000800
Training Epoch: 35 [2560/47500]	Loss: 0.3387	LR: 0.000800
Training Epoch: 35 [2816/47500]	Loss: 0.2468	LR: 0.000800
Training Epoch: 35 [3072/47500]	Loss: 0.2362	LR: 0.000800
Training Epoch: 35 [3328/47500]	Loss: 0.2815	LR: 0.000800
Training Epoch: 35 [3584/47500]	Loss: 0.2857	LR: 0.000800
Training Epoch: 35 [3840/47500]	Loss: 0.2882	LR: 0.000800
Training Epoch: 35 [4096/47500]	Loss: 0.3262	LR: 0.000800
Training Epoch: 35 [4352/47500]	Loss: 0.4024	LR: 0.000800
Training Epoch: 35 [4608/47500]	Loss: 0.2999	LR: 0.000800
Training Epoch: 35 [4864/47500]	Loss: 0.3386	LR: 0.000800
Training Epoch: 35 [5120/47500]	Loss: 0.3742	LR: 0.000800
Training Epoch: 35 [5376/47500]	Loss: 0.3178	LR: 0.000800
Training Epoch: 35 [5632/47500]	Loss: 0.2550	LR: 0.000800
Training Epoch: 35 [5888/47500]	Loss: 0.3158	LR: 0.000800
Training Epoch: 35 [6144/47500]	Loss: 0.4140	LR: 0.000800
Training Epoch: 35 [6400/47500]	Loss: 0.3577	LR: 0.000800
Training Epoch: 35 [6656/47500]	Loss: 0.2516	LR: 0.000800
Training Epoch: 35 [6912/47500]	Loss: 0.2818	LR: 0.000800
Training Epoch: 35 [7168/47500]	Loss: 0.3790	LR: 0.000800
Training Epoch: 35 [7424/47500]	Loss: 0.3158	LR: 0.000800
Training Epoch: 35 [7680/47500]	Loss: 0.2793	LR: 0.000800
Training Epoch: 35 [7936/47500]	Loss: 0.3840	LR: 0.000800
Training Epoch: 35 [8192/47500]	Loss: 0.3059	LR: 0.000800
Training Epoch: 35 [8448/47500]	Loss: 0.3327	LR: 0.000800
Training Epoch: 35 [8704/47500]	Loss: 0.2616	LR: 0.000800
Training Epoch: 35 [8960/47500]	Loss: 0.3087	LR: 0.000800
Training Epoch: 35 [9216/47500]	Loss: 0.2580	LR: 0.000800
Training Epoch: 35 [9472/47500]	Loss: 0.3249	LR: 0.000800
Training Epoch: 35 [9728/47500]	Loss: 0.3425	LR: 0.000800
Training Epoch: 35 [9984/47500]	Loss: 0.2639	LR: 0.000800
Training Epoch: 35 [10240/47500]	Loss: 0.2750	LR: 0.000800
Training Epoch: 35 [10496/47500]	Loss: 0.3112	LR: 0.000800
Training Epoch: 35 [10752/47500]	Loss: 0.3407	LR: 0.000800
Training Epoch: 35 [11008/47500]	Loss: 0.3673	LR: 0.000800
Training Epoch: 35 [11264/47500]	Loss: 0.3030	LR: 0.000800
Training Epoch: 35 [11520/47500]	Loss: 0.3474	LR: 0.000800
Training Epoch: 35 [11776/47500]	Loss: 0.2853	LR: 0.000800
Training Epoch: 35 [12032/47500]	Loss: 0.2420	LR: 0.000800
Training Epoch: 35 [12288/47500]	Loss: 0.3034	LR: 0.000800
Training Epoch: 35 [12544/47500]	Loss: 0.3245	LR: 0.000800
Training Epoch: 35 [12800/47500]	Loss: 0.2646	LR: 0.000800
Training Epoch: 35 [13056/47500]	Loss: 0.2522	LR: 0.000800
Training Epoch: 35 [13312/47500]	Loss: 0.2618	LR: 0.000800
Training Epoch: 35 [13568/47500]	Loss: 0.3772	LR: 0.000800
Training Epoch: 35 [13824/47500]	Loss: 0.2631	LR: 0.000800
Training Epoch: 35 [14080/47500]	Loss: 0.2555	LR: 0.000800
Training Epoch: 35 [14336/47500]	Loss: 0.2657	LR: 0.000800
Training Epoch: 35 [14592/47500]	Loss: 0.3007	LR: 0.000800
Training Epoch: 35 [14848/47500]	Loss: 0.3396	LR: 0.000800
Training Epoch: 35 [15104/47500]	Loss: 0.3095	LR: 0.000800
Training Epoch: 35 [15360/47500]	Loss: 0.3337	LR: 0.000800
Training Epoch: 35 [15616/47500]	Loss: 0.2623	LR: 0.000800
Training Epoch: 35 [15872/47500]	Loss: 0.3297	LR: 0.000800
Training Epoch: 35 [16128/47500]	Loss: 0.2294	LR: 0.000800
Training Epoch: 35 [16384/47500]	Loss: 0.3197	LR: 0.000800
Training Epoch: 35 [16640/47500]	Loss: 0.3437	LR: 0.000800
Training Epoch: 35 [16896/47500]	Loss: 0.3351	LR: 0.000800
Training Epoch: 35 [17152/47500]	Loss: 0.2846	LR: 0.000800
Training Epoch: 35 [17408/47500]	Loss: 0.3228	LR: 0.000800
Training Epoch: 35 [17664/47500]	Loss: 0.3497	LR: 0.000800
Training Epoch: 35 [17920/47500]	Loss: 0.3255	LR: 0.000800
Training Epoch: 35 [18176/47500]	Loss: 0.2612	LR: 0.000800
Training Epoch: 35 [18432/47500]	Loss: 0.3824	LR: 0.000800
Training Epoch: 35 [18688/47500]	Loss: 0.2499	LR: 0.000800
Training Epoch: 35 [18944/47500]	Loss: 0.3611	LR: 0.000800
Training Epoch: 35 [19200/47500]	Loss: 0.3346	LR: 0.000800
Training Epoch: 35 [19456/47500]	Loss: 0.3723	LR: 0.000800
Training Epoch: 35 [19712/47500]	Loss: 0.2708	LR: 0.000800
Training Epoch: 35 [19968/47500]	Loss: 0.2570	LR: 0.000800
Training Epoch: 35 [20224/47500]	Loss: 0.3155	LR: 0.000800
Training Epoch: 35 [20480/47500]	Loss: 0.3626	LR: 0.000800
Training Epoch: 35 [20736/47500]	Loss: 0.2895	LR: 0.000800
Training Epoch: 35 [20992/47500]	Loss: 0.2725	LR: 0.000800
Training Epoch: 35 [21248/47500]	Loss: 0.3864	LR: 0.000800
Training Epoch: 35 [21504/47500]	Loss: 0.3313	LR: 0.000800
Training Epoch: 35 [21760/47500]	Loss: 0.2021	LR: 0.000800
Training Epoch: 35 [22016/47500]	Loss: 0.2878	LR: 0.000800
Training Epoch: 35 [22272/47500]	Loss: 0.3907	LR: 0.000800
Training Epoch: 35 [22528/47500]	Loss: 0.2987	LR: 0.000800
Training Epoch: 35 [22784/47500]	Loss: 0.3161	LR: 0.000800
Training Epoch: 35 [23040/47500]	Loss: 0.3036	LR: 0.000800
Training Epoch: 35 [23296/47500]	Loss: 0.2874	LR: 0.000800
Training Epoch: 35 [23552/47500]	Loss: 0.3031	LR: 0.000800
Training Epoch: 35 [23808/47500]	Loss: 0.2772	LR: 0.000800
Training Epoch: 35 [24064/47500]	Loss: 0.3088	LR: 0.000800
Training Epoch: 35 [24320/47500]	Loss: 0.3261	LR: 0.000800
Training Epoch: 35 [24576/47500]	Loss: 0.2574	LR: 0.000800
Training Epoch: 35 [24832/47500]	Loss: 0.2742	LR: 0.000800
Training Epoch: 35 [25088/47500]	Loss: 0.3593	LR: 0.000800
Training Epoch: 35 [25344/47500]	Loss: 0.3119	LR: 0.000800
Training Epoch: 35 [25600/47500]	Loss: 0.2870	LR: 0.000800
Training Epoch: 35 [25856/47500]	Loss: 0.3085	LR: 0.000800
Training Epoch: 35 [26112/47500]	Loss: 0.3287	LR: 0.000800
Training Epoch: 35 [26368/47500]	Loss: 0.2636	LR: 0.000800
Training Epoch: 35 [26624/47500]	Loss: 0.3422	LR: 0.000800
Training Epoch: 35 [26880/47500]	Loss: 0.2656	LR: 0.000800
Training Epoch: 35 [27136/47500]	Loss: 0.3054	LR: 0.000800
Training Epoch: 35 [27392/47500]	Loss: 0.2891	LR: 0.000800
Training Epoch: 35 [27648/47500]	Loss: 0.3591	LR: 0.000800
Training Epoch: 35 [27904/47500]	Loss: 0.2611	LR: 0.000800
Training Epoch: 35 [28160/47500]	Loss: 0.3248	LR: 0.000800
Training Epoch: 35 [28416/47500]	Loss: 0.2212	LR: 0.000800
Training Epoch: 35 [28672/47500]	Loss: 0.3249	LR: 0.000800
Training Epoch: 35 [28928/47500]	Loss: 0.2566	LR: 0.000800
Training Epoch: 35 [29184/47500]	Loss: 0.2545	LR: 0.000800
Training Epoch: 35 [29440/47500]	Loss: 0.3394	LR: 0.000800
Training Epoch: 35 [29696/47500]	Loss: 0.2818	LR: 0.000800
Training Epoch: 35 [29952/47500]	Loss: 0.2831	LR: 0.000800
Training Epoch: 35 [30208/47500]	Loss: 0.3288	LR: 0.000800
Training Epoch: 35 [30464/47500]	Loss: 0.3038	LR: 0.000800
Training Epoch: 35 [30720/47500]	Loss: 0.3493	LR: 0.000800
Training Epoch: 35 [30976/47500]	Loss: 0.3122	LR: 0.000800
Training Epoch: 35 [31232/47500]	Loss: 0.2289	LR: 0.000800
Training Epoch: 35 [31488/47500]	Loss: 0.2884	LR: 0.000800
Training Epoch: 35 [31744/47500]	Loss: 0.3379	LR: 0.000800
Training Epoch: 35 [32000/47500]	Loss: 0.3251	LR: 0.000800
Training Epoch: 35 [32256/47500]	Loss: 0.3118	LR: 0.000800
Training Epoch: 35 [32512/47500]	Loss: 0.3629	LR: 0.000800
Training Epoch: 35 [32768/47500]	Loss: 0.2747	LR: 0.000800
Training Epoch: 35 [33024/47500]	Loss: 0.2837	LR: 0.000800
Training Epoch: 35 [33280/47500]	Loss: 0.3014	LR: 0.000800
Training Epoch: 35 [33536/47500]	Loss: 0.3455	LR: 0.000800
Training Epoch: 35 [33792/47500]	Loss: 0.2510	LR: 0.000800
Training Epoch: 35 [34048/47500]	Loss: 0.3012	LR: 0.000800
Training Epoch: 35 [34304/47500]	Loss: 0.3224	LR: 0.000800
Training Epoch: 35 [34560/47500]	Loss: 0.3177	LR: 0.000800
Training Epoch: 35 [34816/47500]	Loss: 0.3330	LR: 0.000800
Training Epoch: 35 [35072/47500]	Loss: 0.3143	LR: 0.000800
Training Epoch: 35 [35328/47500]	Loss: 0.2833	LR: 0.000800
Training Epoch: 35 [35584/47500]	Loss: 0.3216	LR: 0.000800
Training Epoch: 35 [35840/47500]	Loss: 0.2793	LR: 0.000800
Training Epoch: 35 [36096/47500]	Loss: 0.2642	LR: 0.000800
Training Epoch: 35 [36352/47500]	Loss: 0.3001	LR: 0.000800
Training Epoch: 35 [36608/47500]	Loss: 0.3416	LR: 0.000800
Training Epoch: 35 [36864/47500]	Loss: 0.3562	LR: 0.000800
Training Epoch: 35 [37120/47500]	Loss: 0.2716	LR: 0.000800
Training Epoch: 35 [37376/47500]	Loss: 0.2971	LR: 0.000800
Training Epoch: 35 [37632/47500]	Loss: 0.3528	LR: 0.000800
Training Epoch: 35 [37888/47500]	Loss: 0.3365	LR: 0.000800
Training Epoch: 35 [38144/47500]	Loss: 0.2875	LR: 0.000800
Training Epoch: 35 [38400/47500]	Loss: 0.2850	LR: 0.000800
Training Epoch: 35 [38656/47500]	Loss: 0.3064	LR: 0.000800
Training Epoch: 35 [38912/47500]	Loss: 0.3051	LR: 0.000800
Training Epoch: 35 [39168/47500]	Loss: 0.3020	LR: 0.000800
Training Epoch: 35 [39424/47500]	Loss: 0.3003	LR: 0.000800
Training Epoch: 35 [39680/47500]	Loss: 0.2893	LR: 0.000800
Training Epoch: 35 [39936/47500]	Loss: 0.3083	LR: 0.000800
Training Epoch: 35 [40192/47500]	Loss: 0.2891	LR: 0.000800
Training Epoch: 35 [40448/47500]	Loss: 0.2918	LR: 0.000800
Training Epoch: 35 [40704/47500]	Loss: 0.3461	LR: 0.000800
Training Epoch: 35 [40960/47500]	Loss: 0.2856	LR: 0.000800
Training Epoch: 35 [41216/47500]	Loss: 0.2530	LR: 0.000800
Training Epoch: 35 [41472/47500]	Loss: 0.2569	LR: 0.000800
Training Epoch: 35 [41728/47500]	Loss: 0.3204	LR: 0.000800
Training Epoch: 35 [41984/47500]	Loss: 0.2686	LR: 0.000800
Training Epoch: 35 [42240/47500]	Loss: 0.3141	LR: 0.000800
Training Epoch: 35 [42496/47500]	Loss: 0.3085	LR: 0.000800
Training Epoch: 35 [42752/47500]	Loss: 0.3245	LR: 0.000800
Training Epoch: 35 [43008/47500]	Loss: 0.3074	LR: 0.000800
Training Epoch: 35 [43264/47500]	Loss: 0.4184	LR: 0.000800
Training Epoch: 35 [43520/47500]	Loss: 0.2715	LR: 0.000800
Training Epoch: 35 [43776/47500]	Loss: 0.2640	LR: 0.000800
Training Epoch: 35 [44032/47500]	Loss: 0.3274	LR: 0.000800
Training Epoch: 35 [44288/47500]	Loss: 0.3480	LR: 0.000800
Training Epoch: 35 [44544/47500]	Loss: 0.2609	LR: 0.000800
Training Epoch: 35 [44800/47500]	Loss: 0.3054	LR: 0.000800
Training Epoch: 35 [45056/47500]	Loss: 0.3317	LR: 0.000800
Training Epoch: 35 [45312/47500]	Loss: 0.3047	LR: 0.000800
Training Epoch: 35 [45568/47500]	Loss: 0.3093	LR: 0.000800
Training Epoch: 35 [45824/47500]	Loss: 0.2647	LR: 0.000800
Training Epoch: 35 [46080/47500]	Loss: 0.2497	LR: 0.000800
Training Epoch: 35 [46336/47500]	Loss: 0.3973	LR: 0.000800
Training Epoch: 35 [46592/47500]	Loss: 0.3068	LR: 0.000800
Training Epoch: 35 [46848/47500]	Loss: 0.3037	LR: 0.000800
Training Epoch: 35 [47104/47500]	Loss: 0.3303	LR: 0.000800
Training Epoch: 35 [47360/47500]	Loss: 0.2821	LR: 0.000800
Training Epoch: 35 [47500/47500]	Loss: 0.2852	LR: 0.000800
Epoch 35 - Average Train Loss: 0.3067, Train Accuracy: 0.9067
Epoch 35 training time consumed: 25.92s
Evaluating Network.....
Test set: Epoch: 35, Average loss: 0.0029, Accuracy: 0.7841, Time consumed:0.88s
Training Epoch: 36 [256/47500]	Loss: 0.2817	LR: 0.000800
Training Epoch: 36 [512/47500]	Loss: 0.2918	LR: 0.000800
Training Epoch: 36 [768/47500]	Loss: 0.3263	LR: 0.000800
Training Epoch: 36 [1024/47500]	Loss: 0.3146	LR: 0.000800
Training Epoch: 36 [1280/47500]	Loss: 0.3039	LR: 0.000800
Training Epoch: 36 [1536/47500]	Loss: 0.2996	LR: 0.000800
Training Epoch: 36 [1792/47500]	Loss: 0.3518	LR: 0.000800
Training Epoch: 36 [2048/47500]	Loss: 0.2602	LR: 0.000800
Training Epoch: 36 [2304/47500]	Loss: 0.2790	LR: 0.000800
Training Epoch: 36 [2560/47500]	Loss: 0.3004	LR: 0.000800
Training Epoch: 36 [2816/47500]	Loss: 0.3191	LR: 0.000800
Training Epoch: 36 [3072/47500]	Loss: 0.2770	LR: 0.000800
Training Epoch: 36 [3328/47500]	Loss: 0.2734	LR: 0.000800
Training Epoch: 36 [3584/47500]	Loss: 0.2752	LR: 0.000800
Training Epoch: 36 [3840/47500]	Loss: 0.2574	LR: 0.000800
Training Epoch: 36 [4096/47500]	Loss: 0.3054	LR: 0.000800
Training Epoch: 36 [4352/47500]	Loss: 0.2307	LR: 0.000800
Training Epoch: 36 [4608/47500]	Loss: 0.2658	LR: 0.000800
Training Epoch: 36 [4864/47500]	Loss: 0.2562	LR: 0.000800
Training Epoch: 36 [5120/47500]	Loss: 0.3114	LR: 0.000800
Training Epoch: 36 [5376/47500]	Loss: 0.3531	LR: 0.000800
Training Epoch: 36 [5632/47500]	Loss: 0.2395	LR: 0.000800
Training Epoch: 36 [5888/47500]	Loss: 0.2949	LR: 0.000800
Training Epoch: 36 [6144/47500]	Loss: 0.2524	LR: 0.000800
Training Epoch: 36 [6400/47500]	Loss: 0.2478	LR: 0.000800
Training Epoch: 36 [6656/47500]	Loss: 0.2993	LR: 0.000800
Training Epoch: 36 [6912/47500]	Loss: 0.2860	LR: 0.000800
Training Epoch: 36 [7168/47500]	Loss: 0.3910	LR: 0.000800
Training Epoch: 36 [7424/47500]	Loss: 0.3162	LR: 0.000800
Training Epoch: 36 [7680/47500]	Loss: 0.3461	LR: 0.000800
Training Epoch: 36 [7936/47500]	Loss: 0.3455	LR: 0.000800
Training Epoch: 36 [8192/47500]	Loss: 0.2259	LR: 0.000800
Training Epoch: 36 [8448/47500]	Loss: 0.3089	LR: 0.000800
Training Epoch: 36 [8704/47500]	Loss: 0.2730	LR: 0.000800
Training Epoch: 36 [8960/47500]	Loss: 0.2385	LR: 0.000800
Training Epoch: 36 [9216/47500]	Loss: 0.2725	LR: 0.000800
Training Epoch: 36 [9472/47500]	Loss: 0.3052	LR: 0.000800
Training Epoch: 36 [9728/47500]	Loss: 0.2748	LR: 0.000800
Training Epoch: 36 [9984/47500]	Loss: 0.3166	LR: 0.000800
Training Epoch: 36 [10240/47500]	Loss: 0.3450	LR: 0.000800
Training Epoch: 36 [10496/47500]	Loss: 0.2763	LR: 0.000800
Training Epoch: 36 [10752/47500]	Loss: 0.2962	LR: 0.000800
Training Epoch: 36 [11008/47500]	Loss: 0.3221	LR: 0.000800
Training Epoch: 36 [11264/47500]	Loss: 0.3282	LR: 0.000800
Training Epoch: 36 [11520/47500]	Loss: 0.3951	LR: 0.000800
Training Epoch: 36 [11776/47500]	Loss: 0.2477	LR: 0.000800
Training Epoch: 36 [12032/47500]	Loss: 0.3041	LR: 0.000800
Training Epoch: 36 [12288/47500]	Loss: 0.3502	LR: 0.000800
Training Epoch: 36 [12544/47500]	Loss: 0.3536	LR: 0.000800
Training Epoch: 36 [12800/47500]	Loss: 0.2550	LR: 0.000800
Training Epoch: 36 [13056/47500]	Loss: 0.2493	LR: 0.000800
Training Epoch: 36 [13312/47500]	Loss: 0.2806	LR: 0.000800
Training Epoch: 36 [13568/47500]	Loss: 0.2728	LR: 0.000800
Training Epoch: 36 [13824/47500]	Loss: 0.2982	LR: 0.000800
Training Epoch: 36 [14080/47500]	Loss: 0.2407	LR: 0.000800
Training Epoch: 36 [14336/47500]	Loss: 0.2904	LR: 0.000800
Training Epoch: 36 [14592/47500]	Loss: 0.3585	LR: 0.000800
Training Epoch: 36 [14848/47500]	Loss: 0.2806	LR: 0.000800
Training Epoch: 36 [15104/47500]	Loss: 0.2899	LR: 0.000800
Training Epoch: 36 [15360/47500]	Loss: 0.2608	LR: 0.000800
Training Epoch: 36 [15616/47500]	Loss: 0.2789	LR: 0.000800
Training Epoch: 36 [15872/47500]	Loss: 0.2481	LR: 0.000800
Training Epoch: 36 [16128/47500]	Loss: 0.3551	LR: 0.000800
Training Epoch: 36 [16384/47500]	Loss: 0.2887	LR: 0.000800
Training Epoch: 36 [16640/47500]	Loss: 0.2910	LR: 0.000800
Training Epoch: 36 [16896/47500]	Loss: 0.3372	LR: 0.000800
Training Epoch: 36 [17152/47500]	Loss: 0.3063	LR: 0.000800
Training Epoch: 36 [17408/47500]	Loss: 0.3324	LR: 0.000800
Training Epoch: 36 [17664/47500]	Loss: 0.3676	LR: 0.000800
Training Epoch: 36 [17920/47500]	Loss: 0.2995	LR: 0.000800
Training Epoch: 36 [18176/47500]	Loss: 0.2415	LR: 0.000800
Training Epoch: 36 [18432/47500]	Loss: 0.2948	LR: 0.000800
Training Epoch: 36 [18688/47500]	Loss: 0.3030	LR: 0.000800
Training Epoch: 36 [18944/47500]	Loss: 0.3506	LR: 0.000800
Training Epoch: 36 [19200/47500]	Loss: 0.3111	LR: 0.000800
Training Epoch: 36 [19456/47500]	Loss: 0.3184	LR: 0.000800
Training Epoch: 36 [19712/47500]	Loss: 0.2815	LR: 0.000800
Training Epoch: 36 [19968/47500]	Loss: 0.2762	LR: 0.000800
Training Epoch: 36 [20224/47500]	Loss: 0.2753	LR: 0.000800
Training Epoch: 36 [20480/47500]	Loss: 0.3055	LR: 0.000800
Training Epoch: 36 [20736/47500]	Loss: 0.3101	LR: 0.000800
Training Epoch: 36 [20992/47500]	Loss: 0.3194	LR: 0.000800
Training Epoch: 36 [21248/47500]	Loss: 0.2699	LR: 0.000800
Training Epoch: 36 [21504/47500]	Loss: 0.2603	LR: 0.000800
Training Epoch: 36 [21760/47500]	Loss: 0.2816	LR: 0.000800
Training Epoch: 36 [22016/47500]	Loss: 0.2916	LR: 0.000800
Training Epoch: 36 [22272/47500]	Loss: 0.2889	LR: 0.000800
Training Epoch: 36 [22528/47500]	Loss: 0.3319	LR: 0.000800
Training Epoch: 36 [22784/47500]	Loss: 0.2499	LR: 0.000800
Training Epoch: 36 [23040/47500]	Loss: 0.2290	LR: 0.000800
Training Epoch: 36 [23296/47500]	Loss: 0.2809	LR: 0.000800
Training Epoch: 36 [23552/47500]	Loss: 0.2669	LR: 0.000800
Training Epoch: 36 [23808/47500]	Loss: 0.3426	LR: 0.000800
Training Epoch: 36 [24064/47500]	Loss: 0.2980	LR: 0.000800
Training Epoch: 36 [24320/47500]	Loss: 0.3229	LR: 0.000800
Training Epoch: 36 [24576/47500]	Loss: 0.3591	LR: 0.000800
Training Epoch: 36 [24832/47500]	Loss: 0.2536	LR: 0.000800
Training Epoch: 36 [25088/47500]	Loss: 0.3103	LR: 0.000800
Training Epoch: 36 [25344/47500]	Loss: 0.2805	LR: 0.000800
Training Epoch: 36 [25600/47500]	Loss: 0.2789	LR: 0.000800
Training Epoch: 36 [25856/47500]	Loss: 0.2677	LR: 0.000800
Training Epoch: 36 [26112/47500]	Loss: 0.2814	LR: 0.000800
Training Epoch: 36 [26368/47500]	Loss: 0.2601	LR: 0.000800
Training Epoch: 36 [26624/47500]	Loss: 0.2580	LR: 0.000800
Training Epoch: 36 [26880/47500]	Loss: 0.2808	LR: 0.000800
Training Epoch: 36 [27136/47500]	Loss: 0.3511	LR: 0.000800
Training Epoch: 36 [27392/47500]	Loss: 0.3125	LR: 0.000800
Training Epoch: 36 [27648/47500]	Loss: 0.3115	LR: 0.000800
Training Epoch: 36 [27904/47500]	Loss: 0.3037	LR: 0.000800
Training Epoch: 36 [28160/47500]	Loss: 0.3026	LR: 0.000800
Training Epoch: 36 [28416/47500]	Loss: 0.3425	LR: 0.000800
Training Epoch: 36 [28672/47500]	Loss: 0.2825	LR: 0.000800
Training Epoch: 36 [28928/47500]	Loss: 0.2382	LR: 0.000800
Training Epoch: 36 [29184/47500]	Loss: 0.2894	LR: 0.000800
Training Epoch: 36 [29440/47500]	Loss: 0.2625	LR: 0.000800
Training Epoch: 36 [29696/47500]	Loss: 0.2456	LR: 0.000800
Training Epoch: 36 [29952/47500]	Loss: 0.2851	LR: 0.000800
Training Epoch: 36 [30208/47500]	Loss: 0.3035	LR: 0.000800
Training Epoch: 36 [30464/47500]	Loss: 0.3182	LR: 0.000800
Training Epoch: 36 [30720/47500]	Loss: 0.3748	LR: 0.000800
Training Epoch: 36 [30976/47500]	Loss: 0.3406	LR: 0.000800
Training Epoch: 36 [31232/47500]	Loss: 0.2393	LR: 0.000800
Training Epoch: 36 [31488/47500]	Loss: 0.3048	LR: 0.000800
Training Epoch: 36 [31744/47500]	Loss: 0.2457	LR: 0.000800
Training Epoch: 36 [32000/47500]	Loss: 0.2795	LR: 0.000800
Training Epoch: 36 [32256/47500]	Loss: 0.3230	LR: 0.000800
Training Epoch: 36 [32512/47500]	Loss: 0.3277	LR: 0.000800
Training Epoch: 36 [32768/47500]	Loss: 0.2977	LR: 0.000800
Training Epoch: 36 [33024/47500]	Loss: 0.3222	LR: 0.000800
Training Epoch: 36 [33280/47500]	Loss: 0.3152	LR: 0.000800
Training Epoch: 36 [33536/47500]	Loss: 0.3121	LR: 0.000800
Training Epoch: 36 [33792/47500]	Loss: 0.2761	LR: 0.000800
Training Epoch: 36 [34048/47500]	Loss: 0.2472	LR: 0.000800
Training Epoch: 36 [34304/47500]	Loss: 0.2790	LR: 0.000800
Training Epoch: 36 [34560/47500]	Loss: 0.3077	LR: 0.000800
Training Epoch: 36 [34816/47500]	Loss: 0.3943	LR: 0.000800
Training Epoch: 36 [35072/47500]	Loss: 0.3301	LR: 0.000800
Training Epoch: 36 [35328/47500]	Loss: 0.3179	LR: 0.000800
Training Epoch: 36 [35584/47500]	Loss: 0.2837	LR: 0.000800
Training Epoch: 36 [35840/47500]	Loss: 0.2572	LR: 0.000800
Training Epoch: 36 [36096/47500]	Loss: 0.3512	LR: 0.000800
Training Epoch: 36 [36352/47500]	Loss: 0.2957	LR: 0.000800
Training Epoch: 36 [36608/47500]	Loss: 0.2689	LR: 0.000800
Training Epoch: 36 [36864/47500]	Loss: 0.3552	LR: 0.000800
Training Epoch: 36 [37120/47500]	Loss: 0.2909	LR: 0.000800
Training Epoch: 36 [37376/47500]	Loss: 0.2798	LR: 0.000800
Training Epoch: 36 [37632/47500]	Loss: 0.3461	LR: 0.000800
Training Epoch: 36 [37888/47500]	Loss: 0.2660	LR: 0.000800
Training Epoch: 36 [38144/47500]	Loss: 0.2290	LR: 0.000800
Training Epoch: 36 [38400/47500]	Loss: 0.2109	LR: 0.000800
Training Epoch: 36 [38656/47500]	Loss: 0.3208	LR: 0.000800
Training Epoch: 36 [38912/47500]	Loss: 0.3103	LR: 0.000800
Training Epoch: 36 [39168/47500]	Loss: 0.3710	LR: 0.000800
Training Epoch: 36 [39424/47500]	Loss: 0.2687	LR: 0.000800
Training Epoch: 36 [39680/47500]	Loss: 0.3183	LR: 0.000800
Training Epoch: 36 [39936/47500]	Loss: 0.3471	LR: 0.000800
Training Epoch: 36 [40192/47500]	Loss: 0.2811	LR: 0.000800
Training Epoch: 36 [40448/47500]	Loss: 0.2953	LR: 0.000800
Training Epoch: 36 [40704/47500]	Loss: 0.2853	LR: 0.000800
Training Epoch: 36 [40960/47500]	Loss: 0.3057	LR: 0.000800
Training Epoch: 36 [41216/47500]	Loss: 0.2916	LR: 0.000800
Training Epoch: 36 [41472/47500]	Loss: 0.2870	LR: 0.000800
Training Epoch: 36 [41728/47500]	Loss: 0.3145	LR: 0.000800
Training Epoch: 36 [41984/47500]	Loss: 0.2828	LR: 0.000800
Training Epoch: 36 [42240/47500]	Loss: 0.3485	LR: 0.000800
Training Epoch: 36 [42496/47500]	Loss: 0.3015	LR: 0.000800
Training Epoch: 36 [42752/47500]	Loss: 0.2408	LR: 0.000800
Training Epoch: 36 [43008/47500]	Loss: 0.2761	LR: 0.000800
Training Epoch: 36 [43264/47500]	Loss: 0.2795	LR: 0.000800
Training Epoch: 36 [43520/47500]	Loss: 0.2766	LR: 0.000800
Training Epoch: 36 [43776/47500]	Loss: 0.3064	LR: 0.000800
Training Epoch: 36 [44032/47500]	Loss: 0.4008	LR: 0.000800
Training Epoch: 36 [44288/47500]	Loss: 0.3034	LR: 0.000800
Training Epoch: 36 [44544/47500]	Loss: 0.2829	LR: 0.000800
Training Epoch: 36 [44800/47500]	Loss: 0.3069	LR: 0.000800
Training Epoch: 36 [45056/47500]	Loss: 0.2913	LR: 0.000800
Training Epoch: 36 [45312/47500]	Loss: 0.3162	LR: 0.000800
Training Epoch: 36 [45568/47500]	Loss: 0.3214	LR: 0.000800
Training Epoch: 36 [45824/47500]	Loss: 0.2569	LR: 0.000800
Training Epoch: 36 [46080/47500]	Loss: 0.3065	LR: 0.000800
Training Epoch: 36 [46336/47500]	Loss: 0.3260	LR: 0.000800
Training Epoch: 36 [46592/47500]	Loss: 0.2967	LR: 0.000800
Training Epoch: 36 [46848/47500]	Loss: 0.3320	LR: 0.000800
Training Epoch: 36 [47104/47500]	Loss: 0.2864	LR: 0.000800
Training Epoch: 36 [47360/47500]	Loss: 0.3572	LR: 0.000800
Training Epoch: 36 [47500/47500]	Loss: 0.3572	LR: 0.000800
Epoch 36 - Average Train Loss: 0.2975, Train Accuracy: 0.9103
Epoch 36 training time consumed: 25.87s
Evaluating Network.....
Test set: Epoch: 36, Average loss: 0.0029, Accuracy: 0.7859, Time consumed:0.93s
Training Epoch: 37 [256/47500]	Loss: 0.2688	LR: 0.000800
Training Epoch: 37 [512/47500]	Loss: 0.2484	LR: 0.000800
Training Epoch: 37 [768/47500]	Loss: 0.2582	LR: 0.000800
Training Epoch: 37 [1024/47500]	Loss: 0.3651	LR: 0.000800
Training Epoch: 37 [1280/47500]	Loss: 0.2548	LR: 0.000800
Training Epoch: 37 [1536/47500]	Loss: 0.3213	LR: 0.000800
Training Epoch: 37 [1792/47500]	Loss: 0.3266	LR: 0.000800
Training Epoch: 37 [2048/47500]	Loss: 0.3222	LR: 0.000800
Training Epoch: 37 [2304/47500]	Loss: 0.2210	LR: 0.000800
Training Epoch: 37 [2560/47500]	Loss: 0.3408	LR: 0.000800
Training Epoch: 37 [2816/47500]	Loss: 0.3272	LR: 0.000800
Training Epoch: 37 [3072/47500]	Loss: 0.2424	LR: 0.000800
Training Epoch: 37 [3328/47500]	Loss: 0.3267	LR: 0.000800
Training Epoch: 37 [3584/47500]	Loss: 0.2864	LR: 0.000800
Training Epoch: 37 [3840/47500]	Loss: 0.2468	LR: 0.000800
Training Epoch: 37 [4096/47500]	Loss: 0.2501	LR: 0.000800
Training Epoch: 37 [4352/47500]	Loss: 0.2958	LR: 0.000800
Training Epoch: 37 [4608/47500]	Loss: 0.3301	LR: 0.000800
Training Epoch: 37 [4864/47500]	Loss: 0.2706	LR: 0.000800
Training Epoch: 37 [5120/47500]	Loss: 0.2742	LR: 0.000800
Training Epoch: 37 [5376/47500]	Loss: 0.2962	LR: 0.000800
Training Epoch: 37 [5632/47500]	Loss: 0.3368	LR: 0.000800
Training Epoch: 37 [5888/47500]	Loss: 0.3268	LR: 0.000800
Training Epoch: 37 [6144/47500]	Loss: 0.2863	LR: 0.000800
Training Epoch: 37 [6400/47500]	Loss: 0.2509	LR: 0.000800
Training Epoch: 37 [6656/47500]	Loss: 0.2719	LR: 0.000800
Training Epoch: 37 [6912/47500]	Loss: 0.2479	LR: 0.000800
Training Epoch: 37 [7168/47500]	Loss: 0.3046	LR: 0.000800
Training Epoch: 37 [7424/47500]	Loss: 0.2896	LR: 0.000800
Training Epoch: 37 [7680/47500]	Loss: 0.2987	LR: 0.000800
Training Epoch: 37 [7936/47500]	Loss: 0.2253	LR: 0.000800
Training Epoch: 37 [8192/47500]	Loss: 0.2922	LR: 0.000800
Training Epoch: 37 [8448/47500]	Loss: 0.2867	LR: 0.000800
Training Epoch: 37 [8704/47500]	Loss: 0.2814	LR: 0.000800
Training Epoch: 37 [8960/47500]	Loss: 0.3117	LR: 0.000800
Training Epoch: 37 [9216/47500]	Loss: 0.3536	LR: 0.000800
Training Epoch: 37 [9472/47500]	Loss: 0.3359	LR: 0.000800
Training Epoch: 37 [9728/47500]	Loss: 0.3383	LR: 0.000800
Training Epoch: 37 [9984/47500]	Loss: 0.3053	LR: 0.000800
Training Epoch: 37 [10240/47500]	Loss: 0.2797	LR: 0.000800
Training Epoch: 37 [10496/47500]	Loss: 0.3185	LR: 0.000800
Training Epoch: 37 [10752/47500]	Loss: 0.2537	LR: 0.000800
Training Epoch: 37 [11008/47500]	Loss: 0.3310	LR: 0.000800
Training Epoch: 37 [11264/47500]	Loss: 0.2308	LR: 0.000800
Training Epoch: 37 [11520/47500]	Loss: 0.3413	LR: 0.000800
Training Epoch: 37 [11776/47500]	Loss: 0.2373	LR: 0.000800
Training Epoch: 37 [12032/47500]	Loss: 0.2021	LR: 0.000800
Training Epoch: 37 [12288/47500]	Loss: 0.2831	LR: 0.000800
Training Epoch: 37 [12544/47500]	Loss: 0.2387	LR: 0.000800
Training Epoch: 37 [12800/47500]	Loss: 0.2457	LR: 0.000800
Training Epoch: 37 [13056/47500]	Loss: 0.2846	LR: 0.000800
Training Epoch: 37 [13312/47500]	Loss: 0.2458	LR: 0.000800
Training Epoch: 37 [13568/47500]	Loss: 0.2905	LR: 0.000800
Training Epoch: 37 [13824/47500]	Loss: 0.2571	LR: 0.000800
Training Epoch: 37 [14080/47500]	Loss: 0.2233	LR: 0.000800
Training Epoch: 37 [14336/47500]	Loss: 0.3016	LR: 0.000800
Training Epoch: 37 [14592/47500]	Loss: 0.3048	LR: 0.000800
Training Epoch: 37 [14848/47500]	Loss: 0.2439	LR: 0.000800
Training Epoch: 37 [15104/47500]	Loss: 0.2341	LR: 0.000800
Training Epoch: 37 [15360/47500]	Loss: 0.3022	LR: 0.000800
Training Epoch: 37 [15616/47500]	Loss: 0.2517	LR: 0.000800
Training Epoch: 37 [15872/47500]	Loss: 0.3120	LR: 0.000800
Training Epoch: 37 [16128/47500]	Loss: 0.3424	LR: 0.000800
Training Epoch: 37 [16384/47500]	Loss: 0.2907	LR: 0.000800
Training Epoch: 37 [16640/47500]	Loss: 0.2899	LR: 0.000800
Training Epoch: 37 [16896/47500]	Loss: 0.2961	LR: 0.000800
Training Epoch: 37 [17152/47500]	Loss: 0.2961	LR: 0.000800
Training Epoch: 37 [17408/47500]	Loss: 0.3640	LR: 0.000800
Training Epoch: 37 [17664/47500]	Loss: 0.2888	LR: 0.000800
Training Epoch: 37 [17920/47500]	Loss: 0.2967	LR: 0.000800
Training Epoch: 37 [18176/47500]	Loss: 0.2715	LR: 0.000800
Training Epoch: 37 [18432/47500]	Loss: 0.2808	LR: 0.000800
Training Epoch: 37 [18688/47500]	Loss: 0.2744	LR: 0.000800
Training Epoch: 37 [18944/47500]	Loss: 0.2542	LR: 0.000800
Training Epoch: 37 [19200/47500]	Loss: 0.2601	LR: 0.000800
Training Epoch: 37 [19456/47500]	Loss: 0.2698	LR: 0.000800
Training Epoch: 37 [19712/47500]	Loss: 0.3140	LR: 0.000800
Training Epoch: 37 [19968/47500]	Loss: 0.2892	LR: 0.000800
Training Epoch: 37 [20224/47500]	Loss: 0.2863	LR: 0.000800
Training Epoch: 37 [20480/47500]	Loss: 0.3027	LR: 0.000800
Training Epoch: 37 [20736/47500]	Loss: 0.2756	LR: 0.000800
Training Epoch: 37 [20992/47500]	Loss: 0.2652	LR: 0.000800
Training Epoch: 37 [21248/47500]	Loss: 0.2862	LR: 0.000800
Training Epoch: 37 [21504/47500]	Loss: 0.3375	LR: 0.000800
Training Epoch: 37 [21760/47500]	Loss: 0.3286	LR: 0.000800
Training Epoch: 37 [22016/47500]	Loss: 0.2749	LR: 0.000800
Training Epoch: 37 [22272/47500]	Loss: 0.2808	LR: 0.000800
Training Epoch: 37 [22528/47500]	Loss: 0.2507	LR: 0.000800
Training Epoch: 37 [22784/47500]	Loss: 0.3189	LR: 0.000800
Training Epoch: 37 [23040/47500]	Loss: 0.2805	LR: 0.000800
Training Epoch: 37 [23296/47500]	Loss: 0.2893	LR: 0.000800
Training Epoch: 37 [23552/47500]	Loss: 0.2796	LR: 0.000800
Training Epoch: 37 [23808/47500]	Loss: 0.3063	LR: 0.000800
Training Epoch: 37 [24064/47500]	Loss: 0.3341	LR: 0.000800
Training Epoch: 37 [24320/47500]	Loss: 0.3050	LR: 0.000800
Training Epoch: 37 [24576/47500]	Loss: 0.2588	LR: 0.000800
Training Epoch: 37 [24832/47500]	Loss: 0.2804	LR: 0.000800
Training Epoch: 37 [25088/47500]	Loss: 0.3149	LR: 0.000800
Training Epoch: 37 [25344/47500]	Loss: 0.3002	LR: 0.000800
Training Epoch: 37 [25600/47500]	Loss: 0.2407	LR: 0.000800
Training Epoch: 37 [25856/47500]	Loss: 0.2280	LR: 0.000800
Training Epoch: 37 [26112/47500]	Loss: 0.3287	LR: 0.000800
Training Epoch: 37 [26368/47500]	Loss: 0.3008	LR: 0.000800
Training Epoch: 37 [26624/47500]	Loss: 0.3042	LR: 0.000800
Training Epoch: 37 [26880/47500]	Loss: 0.2995	LR: 0.000800
Training Epoch: 37 [27136/47500]	Loss: 0.2775	LR: 0.000800
Training Epoch: 37 [27392/47500]	Loss: 0.2934	LR: 0.000800
Training Epoch: 37 [27648/47500]	Loss: 0.2612	LR: 0.000800
Training Epoch: 37 [27904/47500]	Loss: 0.3823	LR: 0.000800
Training Epoch: 37 [28160/47500]	Loss: 0.2570	LR: 0.000800
Training Epoch: 37 [28416/47500]	Loss: 0.2776	LR: 0.000800
Training Epoch: 37 [28672/47500]	Loss: 0.2678	LR: 0.000800
Training Epoch: 37 [28928/47500]	Loss: 0.2823	LR: 0.000800
Training Epoch: 37 [29184/47500]	Loss: 0.2921	LR: 0.000800
Training Epoch: 37 [29440/47500]	Loss: 0.3416	LR: 0.000800
Training Epoch: 37 [29696/47500]	Loss: 0.3719	LR: 0.000800
Training Epoch: 37 [29952/47500]	Loss: 0.2423	LR: 0.000800
Training Epoch: 37 [30208/47500]	Loss: 0.2756	LR: 0.000800
Training Epoch: 37 [30464/47500]	Loss: 0.3679	LR: 0.000800
Training Epoch: 37 [30720/47500]	Loss: 0.2997	LR: 0.000800
Training Epoch: 37 [30976/47500]	Loss: 0.3231	LR: 0.000800
Training Epoch: 37 [31232/47500]	Loss: 0.3688	LR: 0.000800
Training Epoch: 37 [31488/47500]	Loss: 0.2373	LR: 0.000800
Training Epoch: 37 [31744/47500]	Loss: 0.2818	LR: 0.000800
Training Epoch: 37 [32000/47500]	Loss: 0.3073	LR: 0.000800
Training Epoch: 37 [32256/47500]	Loss: 0.3389	LR: 0.000800
Training Epoch: 37 [32512/47500]	Loss: 0.2693	LR: 0.000800
Training Epoch: 37 [32768/47500]	Loss: 0.2604	LR: 0.000800
Training Epoch: 37 [33024/47500]	Loss: 0.3183	LR: 0.000800
Training Epoch: 37 [33280/47500]	Loss: 0.2888	LR: 0.000800
Training Epoch: 37 [33536/47500]	Loss: 0.2696	LR: 0.000800
Training Epoch: 37 [33792/47500]	Loss: 0.3034	LR: 0.000800
Training Epoch: 37 [34048/47500]	Loss: 0.3579	LR: 0.000800
Training Epoch: 37 [34304/47500]	Loss: 0.2691	LR: 0.000800
Training Epoch: 37 [34560/47500]	Loss: 0.3072	LR: 0.000800
Training Epoch: 37 [34816/47500]	Loss: 0.4237	LR: 0.000800
Training Epoch: 37 [35072/47500]	Loss: 0.3374	LR: 0.000800
Training Epoch: 37 [35328/47500]	Loss: 0.3064	LR: 0.000800
Training Epoch: 37 [35584/47500]	Loss: 0.2332	LR: 0.000800
Training Epoch: 37 [35840/47500]	Loss: 0.2539	LR: 0.000800
Training Epoch: 37 [36096/47500]	Loss: 0.3255	LR: 0.000800
Training Epoch: 37 [36352/47500]	Loss: 0.3180	LR: 0.000800
Training Epoch: 37 [36608/47500]	Loss: 0.2840	LR: 0.000800
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Training Epoch: 37 [37376/47500]	Loss: 0.3109	LR: 0.000800
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Training Epoch: 37 [40192/47500]	Loss: 0.3015	LR: 0.000800
Training Epoch: 37 [40448/47500]	Loss: 0.3463	LR: 0.000800
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Training Epoch: 37 [42496/47500]	Loss: 0.3106	LR: 0.000800
Training Epoch: 37 [42752/47500]	Loss: 0.3019	LR: 0.000800
Training Epoch: 37 [43008/47500]	Loss: 0.3836	LR: 0.000800
Training Epoch: 37 [43264/47500]	Loss: 0.3004	LR: 0.000800
Training Epoch: 37 [43520/47500]	Loss: 0.2352	LR: 0.000800
Training Epoch: 37 [43776/47500]	Loss: 0.2587	LR: 0.000800
Training Epoch: 37 [44032/47500]	Loss: 0.2732	LR: 0.000800
Training Epoch: 37 [44288/47500]	Loss: 0.2245	LR: 0.000800
Training Epoch: 37 [44544/47500]	Loss: 0.3734	LR: 0.000800
Training Epoch: 37 [44800/47500]	Loss: 0.2540	LR: 0.000800
Training Epoch: 37 [45056/47500]	Loss: 0.2840	LR: 0.000800
Training Epoch: 37 [45312/47500]	Loss: 0.3447	LR: 0.000800
Training Epoch: 37 [45568/47500]	Loss: 0.2686	LR: 0.000800
Training Epoch: 37 [45824/47500]	Loss: 0.3299	LR: 0.000800
Training Epoch: 37 [46080/47500]	Loss: 0.3115	LR: 0.000800
Training Epoch: 37 [46336/47500]	Loss: 0.3307	LR: 0.000800
Training Epoch: 37 [46592/47500]	Loss: 0.3277	LR: 0.000800
Training Epoch: 37 [46848/47500]	Loss: 0.2880	LR: 0.000800
Training Epoch: 37 [47104/47500]	Loss: 0.3204	LR: 0.000800
Training Epoch: 37 [47360/47500]	Loss: 0.4081	LR: 0.000800
Training Epoch: 37 [47500/47500]	Loss: 0.3665	LR: 0.000800
Epoch 37 - Average Train Loss: 0.2956, Train Accuracy: 0.9124
Epoch 37 training time consumed: 26.40s
Evaluating Network.....
Test set: Epoch: 37, Average loss: 0.0029, Accuracy: 0.7857, Time consumed:0.89s
Training Epoch: 38 [256/47500]	Loss: 0.2342	LR: 0.000800
Training Epoch: 38 [512/47500]	Loss: 0.2151	LR: 0.000800
Training Epoch: 38 [768/47500]	Loss: 0.2648	LR: 0.000800
Training Epoch: 38 [1024/47500]	Loss: 0.3181	LR: 0.000800
Training Epoch: 38 [1280/47500]	Loss: 0.2728	LR: 0.000800
Training Epoch: 38 [1536/47500]	Loss: 0.2870	LR: 0.000800
Training Epoch: 38 [1792/47500]	Loss: 0.2766	LR: 0.000800
Training Epoch: 38 [2048/47500]	Loss: 0.2261	LR: 0.000800
Training Epoch: 38 [2304/47500]	Loss: 0.2083	LR: 0.000800
Training Epoch: 38 [2560/47500]	Loss: 0.2494	LR: 0.000800
Training Epoch: 38 [2816/47500]	Loss: 0.2728	LR: 0.000800
Training Epoch: 38 [3072/47500]	Loss: 0.3373	LR: 0.000800
Training Epoch: 38 [3328/47500]	Loss: 0.3509	LR: 0.000800
Training Epoch: 38 [3584/47500]	Loss: 0.2688	LR: 0.000800
Training Epoch: 38 [3840/47500]	Loss: 0.3391	LR: 0.000800
Training Epoch: 38 [4096/47500]	Loss: 0.2755	LR: 0.000800
Training Epoch: 38 [4352/47500]	Loss: 0.2798	LR: 0.000800
Training Epoch: 38 [4608/47500]	Loss: 0.2635	LR: 0.000800
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Training Epoch: 38 [5120/47500]	Loss: 0.2630	LR: 0.000800
Training Epoch: 38 [5376/47500]	Loss: 0.3309	LR: 0.000800
Training Epoch: 38 [5632/47500]	Loss: 0.2657	LR: 0.000800
Training Epoch: 38 [5888/47500]	Loss: 0.3014	LR: 0.000800
Training Epoch: 38 [6144/47500]	Loss: 0.3100	LR: 0.000800
Training Epoch: 38 [6400/47500]	Loss: 0.3731	LR: 0.000800
Training Epoch: 38 [6656/47500]	Loss: 0.2520	LR: 0.000800
Training Epoch: 38 [6912/47500]	Loss: 0.3121	LR: 0.000800
Training Epoch: 38 [7168/47500]	Loss: 0.2923	LR: 0.000800
Training Epoch: 38 [7424/47500]	Loss: 0.3625	LR: 0.000800
Training Epoch: 38 [7680/47500]	Loss: 0.2821	LR: 0.000800
Training Epoch: 38 [7936/47500]	Loss: 0.3394	LR: 0.000800
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Training Epoch: 38 [8448/47500]	Loss: 0.2262	LR: 0.000800
Training Epoch: 38 [8704/47500]	Loss: 0.2796	LR: 0.000800
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Training Epoch: 38 [9984/47500]	Loss: 0.2521	LR: 0.000800
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Training Epoch: 38 [11008/47500]	Loss: 0.3124	LR: 0.000800
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Training Epoch: 38 [11776/47500]	Loss: 0.3441	LR: 0.000800
Training Epoch: 38 [12032/47500]	Loss: 0.2788	LR: 0.000800
Training Epoch: 38 [12288/47500]	Loss: 0.3199	LR: 0.000800
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Training Epoch: 38 [12800/47500]	Loss: 0.2896	LR: 0.000800
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Training Epoch: 38 [15616/47500]	Loss: 0.2472	LR: 0.000800
Training Epoch: 38 [15872/47500]	Loss: 0.2845	LR: 0.000800
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Training Epoch: 38 [42496/47500]	Loss: 0.2661	LR: 0.000800
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Training Epoch: 38 [44032/47500]	Loss: 0.3474	LR: 0.000800
Training Epoch: 38 [44288/47500]	Loss: 0.2670	LR: 0.000800
Training Epoch: 38 [44544/47500]	Loss: 0.2496	LR: 0.000800
Training Epoch: 38 [44800/47500]	Loss: 0.3165	LR: 0.000800
Training Epoch: 38 [45056/47500]	Loss: 0.3622	LR: 0.000800
Training Epoch: 38 [45312/47500]	Loss: 0.3140	LR: 0.000800
Training Epoch: 38 [45568/47500]	Loss: 0.2780	LR: 0.000800
Training Epoch: 38 [45824/47500]	Loss: 0.2888	LR: 0.000800
Training Epoch: 38 [46080/47500]	Loss: 0.2729	LR: 0.000800
Training Epoch: 38 [46336/47500]	Loss: 0.3339	LR: 0.000800
Training Epoch: 38 [46592/47500]	Loss: 0.2901	LR: 0.000800
Training Epoch: 38 [46848/47500]	Loss: 0.3154	LR: 0.000800
Training Epoch: 38 [47104/47500]	Loss: 0.2999	LR: 0.000800
Training Epoch: 38 [47360/47500]	Loss: 0.3142	LR: 0.000800
Training Epoch: 38 [47500/47500]	Loss: 0.3310	LR: 0.000800
Epoch 38 - Average Train Loss: 0.2933, Train Accuracy: 0.9136
Epoch 38 training time consumed: 26.06s
Evaluating Network.....
Test set: Epoch: 38, Average loss: 0.0029, Accuracy: 0.7892, Time consumed:0.88s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_22h_16m_46s/AllCNN-Cifar20-seed6-ret50-38-best.pth
Training Epoch: 39 [256/47500]	Loss: 0.2621	LR: 0.000800
Training Epoch: 39 [512/47500]	Loss: 0.3205	LR: 0.000800
Training Epoch: 39 [768/47500]	Loss: 0.2993	LR: 0.000800
Training Epoch: 39 [1024/47500]	Loss: 0.3094	LR: 0.000800
Training Epoch: 39 [1280/47500]	Loss: 0.2867	LR: 0.000800
Training Epoch: 39 [1536/47500]	Loss: 0.2421	LR: 0.000800
Training Epoch: 39 [1792/47500]	Loss: 0.3022	LR: 0.000800
Training Epoch: 39 [2048/47500]	Loss: 0.2660	LR: 0.000800
Training Epoch: 39 [2304/47500]	Loss: 0.3234	LR: 0.000800
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Training Epoch: 39 [4608/47500]	Loss: 0.2896	LR: 0.000800
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Training Epoch: 39 [13312/47500]	Loss: 0.3059	LR: 0.000800
Training Epoch: 39 [13568/47500]	Loss: 0.2499	LR: 0.000800
Training Epoch: 39 [13824/47500]	Loss: 0.2729	LR: 0.000800
Training Epoch: 39 [14080/47500]	Loss: 0.2733	LR: 0.000800
Training Epoch: 39 [14336/47500]	Loss: 0.2723	LR: 0.000800
Training Epoch: 39 [14592/47500]	Loss: 0.2652	LR: 0.000800
Training Epoch: 39 [14848/47500]	Loss: 0.2772	LR: 0.000800
Training Epoch: 39 [15104/47500]	Loss: 0.2915	LR: 0.000800
Training Epoch: 39 [15360/47500]	Loss: 0.3219	LR: 0.000800
Training Epoch: 39 [15616/47500]	Loss: 0.2970	LR: 0.000800
Training Epoch: 39 [15872/47500]	Loss: 0.2830	LR: 0.000800
Training Epoch: 39 [16128/47500]	Loss: 0.3664	LR: 0.000800
Training Epoch: 39 [16384/47500]	Loss: 0.2500	LR: 0.000800
Training Epoch: 39 [16640/47500]	Loss: 0.2970	LR: 0.000800
Training Epoch: 39 [16896/47500]	Loss: 0.2809	LR: 0.000800
Training Epoch: 39 [17152/47500]	Loss: 0.2765	LR: 0.000800
Training Epoch: 39 [17408/47500]	Loss: 0.2838	LR: 0.000800
Training Epoch: 39 [17664/47500]	Loss: 0.2629	LR: 0.000800
Training Epoch: 39 [17920/47500]	Loss: 0.2842	LR: 0.000800
Training Epoch: 39 [18176/47500]	Loss: 0.2257	LR: 0.000800
Training Epoch: 39 [18432/47500]	Loss: 0.2718	LR: 0.000800
Training Epoch: 39 [18688/47500]	Loss: 0.2996	LR: 0.000800
Training Epoch: 39 [18944/47500]	Loss: 0.3044	LR: 0.000800
Training Epoch: 39 [19200/47500]	Loss: 0.2316	LR: 0.000800
Training Epoch: 39 [19456/47500]	Loss: 0.3510	LR: 0.000800
Training Epoch: 39 [19712/47500]	Loss: 0.2524	LR: 0.000800
Training Epoch: 39 [19968/47500]	Loss: 0.3331	LR: 0.000800
Training Epoch: 39 [20224/47500]	Loss: 0.2436	LR: 0.000800
Training Epoch: 39 [20480/47500]	Loss: 0.2219	LR: 0.000800
Training Epoch: 39 [20736/47500]	Loss: 0.2851	LR: 0.000800
Training Epoch: 39 [20992/47500]	Loss: 0.3673	LR: 0.000800
Training Epoch: 39 [21248/47500]	Loss: 0.2736	LR: 0.000800
Training Epoch: 39 [21504/47500]	Loss: 0.2896	LR: 0.000800
Training Epoch: 39 [21760/47500]	Loss: 0.3226	LR: 0.000800
Training Epoch: 39 [22016/47500]	Loss: 0.3298	LR: 0.000800
Training Epoch: 39 [22272/47500]	Loss: 0.2977	LR: 0.000800
Training Epoch: 39 [22528/47500]	Loss: 0.2744	LR: 0.000800
Training Epoch: 39 [22784/47500]	Loss: 0.2732	LR: 0.000800
Training Epoch: 39 [23040/47500]	Loss: 0.2428	LR: 0.000800
Training Epoch: 39 [23296/47500]	Loss: 0.3794	LR: 0.000800
Training Epoch: 39 [23552/47500]	Loss: 0.3104	LR: 0.000800
Training Epoch: 39 [23808/47500]	Loss: 0.2426	LR: 0.000800
Training Epoch: 39 [24064/47500]	Loss: 0.3434	LR: 0.000800
Training Epoch: 39 [24320/47500]	Loss: 0.3206	LR: 0.000800
Training Epoch: 39 [24576/47500]	Loss: 0.3218	LR: 0.000800
Training Epoch: 39 [24832/47500]	Loss: 0.3214	LR: 0.000800
Training Epoch: 39 [25088/47500]	Loss: 0.2705	LR: 0.000800
Training Epoch: 39 [25344/47500]	Loss: 0.2835	LR: 0.000800
Training Epoch: 39 [25600/47500]	Loss: 0.2679	LR: 0.000800
Training Epoch: 39 [25856/47500]	Loss: 0.2737	LR: 0.000800
Training Epoch: 39 [26112/47500]	Loss: 0.2142	LR: 0.000800
Training Epoch: 39 [26368/47500]	Loss: 0.3027	LR: 0.000800
Training Epoch: 39 [26624/47500]	Loss: 0.3242	LR: 0.000800
Training Epoch: 39 [26880/47500]	Loss: 0.3102	LR: 0.000800
Training Epoch: 39 [27136/47500]	Loss: 0.2826	LR: 0.000800
Training Epoch: 39 [27392/47500]	Loss: 0.2877	LR: 0.000800
Training Epoch: 39 [27648/47500]	Loss: 0.2940	LR: 0.000800
Training Epoch: 39 [27904/47500]	Loss: 0.3026	LR: 0.000800
Training Epoch: 39 [28160/47500]	Loss: 0.2342	LR: 0.000800
Training Epoch: 39 [28416/47500]	Loss: 0.2444	LR: 0.000800
Training Epoch: 39 [28672/47500]	Loss: 0.2914	LR: 0.000800
Training Epoch: 39 [28928/47500]	Loss: 0.2763	LR: 0.000800
Training Epoch: 39 [29184/47500]	Loss: 0.2836	LR: 0.000800
Training Epoch: 39 [29440/47500]	Loss: 0.2897	LR: 0.000800
Training Epoch: 39 [29696/47500]	Loss: 0.2834	LR: 0.000800
Training Epoch: 39 [29952/47500]	Loss: 0.2183	LR: 0.000800
Training Epoch: 39 [30208/47500]	Loss: 0.2973	LR: 0.000800
Training Epoch: 39 [30464/47500]	Loss: 0.2492	LR: 0.000800
Training Epoch: 39 [30720/47500]	Loss: 0.3155	LR: 0.000800
Training Epoch: 39 [30976/47500]	Loss: 0.3298	LR: 0.000800
Training Epoch: 39 [31232/47500]	Loss: 0.3106	LR: 0.000800
Training Epoch: 39 [31488/47500]	Loss: 0.2589	LR: 0.000800
Training Epoch: 39 [31744/47500]	Loss: 0.3107	LR: 0.000800
Training Epoch: 39 [32000/47500]	Loss: 0.3555	LR: 0.000800
Training Epoch: 39 [32256/47500]	Loss: 0.3640	LR: 0.000800
Training Epoch: 39 [32512/47500]	Loss: 0.3814	LR: 0.000800
Training Epoch: 39 [32768/47500]	Loss: 0.2834	LR: 0.000800
Training Epoch: 39 [33024/47500]	Loss: 0.3089	LR: 0.000800
Training Epoch: 39 [33280/47500]	Loss: 0.2996	LR: 0.000800
Training Epoch: 39 [33536/47500]	Loss: 0.2900	LR: 0.000800
Training Epoch: 39 [33792/47500]	Loss: 0.2800	LR: 0.000800
Training Epoch: 39 [34048/47500]	Loss: 0.3057	LR: 0.000800
Training Epoch: 39 [34304/47500]	Loss: 0.2371	LR: 0.000800
Training Epoch: 39 [34560/47500]	Loss: 0.3172	LR: 0.000800
Training Epoch: 39 [34816/47500]	Loss: 0.3339	LR: 0.000800
Training Epoch: 39 [35072/47500]	Loss: 0.3548	LR: 0.000800
Training Epoch: 39 [35328/47500]	Loss: 0.2692	LR: 0.000800
Training Epoch: 39 [35584/47500]	Loss: 0.2416	LR: 0.000800
Training Epoch: 39 [35840/47500]	Loss: 0.3389	LR: 0.000800
Training Epoch: 39 [36096/47500]	Loss: 0.2600	LR: 0.000800
Training Epoch: 39 [36352/47500]	Loss: 0.2888	LR: 0.000800
Training Epoch: 39 [36608/47500]	Loss: 0.2733	LR: 0.000800
Training Epoch: 39 [36864/47500]	Loss: 0.2759	LR: 0.000800
Training Epoch: 39 [37120/47500]	Loss: 0.2601	LR: 0.000800
Training Epoch: 39 [37376/47500]	Loss: 0.3295	LR: 0.000800
Training Epoch: 39 [37632/47500]	Loss: 0.2900	LR: 0.000800
Training Epoch: 39 [37888/47500]	Loss: 0.3047	LR: 0.000800
Training Epoch: 39 [38144/47500]	Loss: 0.2982	LR: 0.000800
Training Epoch: 39 [38400/47500]	Loss: 0.2936	LR: 0.000800
Training Epoch: 39 [38656/47500]	Loss: 0.3036	LR: 0.000800
Training Epoch: 39 [38912/47500]	Loss: 0.2732	LR: 0.000800
Training Epoch: 39 [39168/47500]	Loss: 0.3456	LR: 0.000800
Training Epoch: 39 [39424/47500]	Loss: 0.3703	LR: 0.000800
Training Epoch: 39 [39680/47500]	Loss: 0.3280	LR: 0.000800
Training Epoch: 39 [39936/47500]	Loss: 0.3022	LR: 0.000800
Training Epoch: 39 [40192/47500]	Loss: 0.2949	LR: 0.000800
Training Epoch: 39 [40448/47500]	Loss: 0.2403	LR: 0.000800
Training Epoch: 39 [40704/47500]	Loss: 0.2818	LR: 0.000800
Training Epoch: 39 [40960/47500]	Loss: 0.3250	LR: 0.000800
Training Epoch: 39 [41216/47500]	Loss: 0.2870	LR: 0.000800
Training Epoch: 39 [41472/47500]	Loss: 0.2492	LR: 0.000800
Training Epoch: 39 [41728/47500]	Loss: 0.2470	LR: 0.000800
Training Epoch: 39 [41984/47500]	Loss: 0.3227	LR: 0.000800
Training Epoch: 39 [42240/47500]	Loss: 0.2753	LR: 0.000800
Training Epoch: 39 [42496/47500]	Loss: 0.2505	LR: 0.000800
Training Epoch: 39 [42752/47500]	Loss: 0.3253	LR: 0.000800
Training Epoch: 39 [43008/47500]	Loss: 0.3035	LR: 0.000800
Training Epoch: 39 [43264/47500]	Loss: 0.3088	LR: 0.000800
Training Epoch: 39 [43520/47500]	Loss: 0.3380	LR: 0.000800
Training Epoch: 39 [43776/47500]	Loss: 0.3044	LR: 0.000800
Training Epoch: 39 [44032/47500]	Loss: 0.3331	LR: 0.000800
Training Epoch: 39 [44288/47500]	Loss: 0.3062	LR: 0.000800
Training Epoch: 39 [44544/47500]	Loss: 0.2759	LR: 0.000800
Training Epoch: 39 [44800/47500]	Loss: 0.3019	LR: 0.000800
Training Epoch: 39 [45056/47500]	Loss: 0.2863	LR: 0.000800
Training Epoch: 39 [45312/47500]	Loss: 0.2611	LR: 0.000800
Training Epoch: 39 [45568/47500]	Loss: 0.2868	LR: 0.000800
Training Epoch: 39 [45824/47500]	Loss: 0.2943	LR: 0.000800
Training Epoch: 39 [46080/47500]	Loss: 0.2887	LR: 0.000800
Training Epoch: 39 [46336/47500]	Loss: 0.3141	LR: 0.000800
Training Epoch: 39 [46592/47500]	Loss: 0.3515	LR: 0.000800
Training Epoch: 39 [46848/47500]	Loss: 0.3149	LR: 0.000800
Training Epoch: 39 [47104/47500]	Loss: 0.3163	LR: 0.000800
Training Epoch: 39 [47360/47500]	Loss: 0.2906	LR: 0.000800
Training Epoch: 39 [47500/47500]	Loss: 0.2872	LR: 0.000800
Epoch 39 - Average Train Loss: 0.2917, Train Accuracy: 0.9127
Epoch 39 training time consumed: 26.03s
Evaluating Network.....
Test set: Epoch: 39, Average loss: 0.0029, Accuracy: 0.7882, Time consumed:0.91s
Training Epoch: 40 [256/47500]	Loss: 0.3661	LR: 0.000800
Training Epoch: 40 [512/47500]	Loss: 0.2595	LR: 0.000800
Training Epoch: 40 [768/47500]	Loss: 0.2718	LR: 0.000800
Training Epoch: 40 [1024/47500]	Loss: 0.3082	LR: 0.000800
Training Epoch: 40 [1280/47500]	Loss: 0.3015	LR: 0.000800
Training Epoch: 40 [1536/47500]	Loss: 0.3245	LR: 0.000800
Training Epoch: 40 [1792/47500]	Loss: 0.3594	LR: 0.000800
Training Epoch: 40 [2048/47500]	Loss: 0.3115	LR: 0.000800
Training Epoch: 40 [2304/47500]	Loss: 0.2693	LR: 0.000800
Training Epoch: 40 [2560/47500]	Loss: 0.2777	LR: 0.000800
Training Epoch: 40 [2816/47500]	Loss: 0.2677	LR: 0.000800
Training Epoch: 40 [3072/47500]	Loss: 0.2952	LR: 0.000800
Training Epoch: 40 [3328/47500]	Loss: 0.3545	LR: 0.000800
Training Epoch: 40 [3584/47500]	Loss: 0.2869	LR: 0.000800
Training Epoch: 40 [3840/47500]	Loss: 0.2604	LR: 0.000800
Training Epoch: 40 [4096/47500]	Loss: 0.2660	LR: 0.000800
Training Epoch: 40 [4352/47500]	Loss: 0.2906	LR: 0.000800
Training Epoch: 40 [4608/47500]	Loss: 0.3200	LR: 0.000800
Training Epoch: 40 [4864/47500]	Loss: 0.2849	LR: 0.000800
Training Epoch: 40 [5120/47500]	Loss: 0.2451	LR: 0.000800
Training Epoch: 40 [5376/47500]	Loss: 0.3369	LR: 0.000800
Training Epoch: 40 [5632/47500]	Loss: 0.3631	LR: 0.000800
Training Epoch: 40 [5888/47500]	Loss: 0.2485	LR: 0.000800
Training Epoch: 40 [6144/47500]	Loss: 0.2619	LR: 0.000800
Training Epoch: 40 [6400/47500]	Loss: 0.2977	LR: 0.000800
Training Epoch: 40 [6656/47500]	Loss: 0.2733	LR: 0.000800
Training Epoch: 40 [6912/47500]	Loss: 0.2863	LR: 0.000800
Training Epoch: 40 [7168/47500]	Loss: 0.3136	LR: 0.000800
Training Epoch: 40 [7424/47500]	Loss: 0.2791	LR: 0.000800
Training Epoch: 40 [7680/47500]	Loss: 0.2513	LR: 0.000800
Training Epoch: 40 [7936/47500]	Loss: 0.3211	LR: 0.000800
Training Epoch: 40 [8192/47500]	Loss: 0.2518	LR: 0.000800
Training Epoch: 40 [8448/47500]	Loss: 0.2853	LR: 0.000800
Training Epoch: 40 [8704/47500]	Loss: 0.2988	LR: 0.000800
Training Epoch: 40 [8960/47500]	Loss: 0.3043	LR: 0.000800
Training Epoch: 40 [9216/47500]	Loss: 0.3008	LR: 0.000800
Training Epoch: 40 [9472/47500]	Loss: 0.2944	LR: 0.000800
Training Epoch: 40 [9728/47500]	Loss: 0.3117	LR: 0.000800
Training Epoch: 40 [9984/47500]	Loss: 0.2872	LR: 0.000800
Training Epoch: 40 [10240/47500]	Loss: 0.2509	LR: 0.000800
Training Epoch: 40 [10496/47500]	Loss: 0.2947	LR: 0.000800
Training Epoch: 40 [10752/47500]	Loss: 0.3098	LR: 0.000800
Training Epoch: 40 [11008/47500]	Loss: 0.2779	LR: 0.000800
Training Epoch: 40 [11264/47500]	Loss: 0.3226	LR: 0.000800
Training Epoch: 40 [11520/47500]	Loss: 0.3291	LR: 0.000800
Training Epoch: 40 [11776/47500]	Loss: 0.2609	LR: 0.000800
Training Epoch: 40 [12032/47500]	Loss: 0.2378	LR: 0.000800
Training Epoch: 40 [12288/47500]	Loss: 0.2492	LR: 0.000800
Training Epoch: 40 [12544/47500]	Loss: 0.2639	LR: 0.000800
Training Epoch: 40 [12800/47500]	Loss: 0.3100	LR: 0.000800
Training Epoch: 40 [13056/47500]	Loss: 0.2944	LR: 0.000800
Training Epoch: 40 [13312/47500]	Loss: 0.2835	LR: 0.000800
Training Epoch: 40 [13568/47500]	Loss: 0.2524	LR: 0.000800
Training Epoch: 40 [13824/47500]	Loss: 0.1978	LR: 0.000800
Training Epoch: 40 [14080/47500]	Loss: 0.2710	LR: 0.000800
Training Epoch: 40 [14336/47500]	Loss: 0.3307	LR: 0.000800
Training Epoch: 40 [14592/47500]	Loss: 0.2927	LR: 0.000800
Training Epoch: 40 [14848/47500]	Loss: 0.2419	LR: 0.000800
Training Epoch: 40 [15104/47500]	Loss: 0.2669	LR: 0.000800
Training Epoch: 40 [15360/47500]	Loss: 0.2701	LR: 0.000800
Training Epoch: 40 [15616/47500]	Loss: 0.3069	LR: 0.000800
Training Epoch: 40 [15872/47500]	Loss: 0.2642	LR: 0.000800
Training Epoch: 40 [16128/47500]	Loss: 0.2116	LR: 0.000800
Training Epoch: 40 [16384/47500]	Loss: 0.2827	LR: 0.000800
Training Epoch: 40 [16640/47500]	Loss: 0.2884	LR: 0.000800
Training Epoch: 40 [16896/47500]	Loss: 0.2591	LR: 0.000800
Training Epoch: 40 [17152/47500]	Loss: 0.2585	LR: 0.000800
Training Epoch: 40 [17408/47500]	Loss: 0.2225	LR: 0.000800
Training Epoch: 40 [17664/47500]	Loss: 0.2661	LR: 0.000800
Training Epoch: 40 [17920/47500]	Loss: 0.3042	LR: 0.000800
Training Epoch: 40 [18176/47500]	Loss: 0.2730	LR: 0.000800
Training Epoch: 40 [18432/47500]	Loss: 0.3119	LR: 0.000800
Training Epoch: 40 [18688/47500]	Loss: 0.2513	LR: 0.000800
Training Epoch: 40 [18944/47500]	Loss: 0.2388	LR: 0.000800
Training Epoch: 40 [19200/47500]	Loss: 0.3092	LR: 0.000800
Training Epoch: 40 [19456/47500]	Loss: 0.3214	LR: 0.000800
Training Epoch: 40 [19712/47500]	Loss: 0.2086	LR: 0.000800
Training Epoch: 40 [19968/47500]	Loss: 0.2545	LR: 0.000800
Training Epoch: 40 [20224/47500]	Loss: 0.3099	LR: 0.000800
Training Epoch: 40 [20480/47500]	Loss: 0.2777	LR: 0.000800
Training Epoch: 40 [20736/47500]	Loss: 0.3182	LR: 0.000800
Training Epoch: 40 [20992/47500]	Loss: 0.2946	LR: 0.000800
Training Epoch: 40 [21248/47500]	Loss: 0.2842	LR: 0.000800
Training Epoch: 40 [21504/47500]	Loss: 0.2891	LR: 0.000800
Training Epoch: 40 [21760/47500]	Loss: 0.2875	LR: 0.000800
Training Epoch: 40 [22016/47500]	Loss: 0.3152	LR: 0.000800
Training Epoch: 40 [22272/47500]	Loss: 0.2398	LR: 0.000800
Training Epoch: 40 [22528/47500]	Loss: 0.2876	LR: 0.000800
Training Epoch: 40 [22784/47500]	Loss: 0.2681	LR: 0.000800
Training Epoch: 40 [23040/47500]	Loss: 0.3321	LR: 0.000800
Training Epoch: 40 [23296/47500]	Loss: 0.3317	LR: 0.000800
Training Epoch: 40 [23552/47500]	Loss: 0.3306	LR: 0.000800
Training Epoch: 40 [23808/47500]	Loss: 0.2587	LR: 0.000800
Training Epoch: 40 [24064/47500]	Loss: 0.2891	LR: 0.000800
Training Epoch: 40 [24320/47500]	Loss: 0.3083	LR: 0.000800
Training Epoch: 40 [24576/47500]	Loss: 0.2582	LR: 0.000800
Training Epoch: 40 [24832/47500]	Loss: 0.2485	LR: 0.000800
Training Epoch: 40 [25088/47500]	Loss: 0.2509	LR: 0.000800
Training Epoch: 40 [25344/47500]	Loss: 0.2764	LR: 0.000800
Training Epoch: 40 [25600/47500]	Loss: 0.3355	LR: 0.000800
Training Epoch: 40 [25856/47500]	Loss: 0.2537	LR: 0.000800
Training Epoch: 40 [26112/47500]	Loss: 0.2942	LR: 0.000800
Training Epoch: 40 [26368/47500]	Loss: 0.2870	LR: 0.000800
Training Epoch: 40 [26624/47500]	Loss: 0.2807	LR: 0.000800
Training Epoch: 40 [26880/47500]	Loss: 0.2737	LR: 0.000800
Training Epoch: 40 [27136/47500]	Loss: 0.2568	LR: 0.000800
Training Epoch: 40 [27392/47500]	Loss: 0.2366	LR: 0.000800
Training Epoch: 40 [27648/47500]	Loss: 0.2617	LR: 0.000800
Training Epoch: 40 [27904/47500]	Loss: 0.2971	LR: 0.000800
Training Epoch: 40 [28160/47500]	Loss: 0.3221	LR: 0.000800
Training Epoch: 40 [28416/47500]	Loss: 0.2393	LR: 0.000800
Training Epoch: 40 [28672/47500]	Loss: 0.3064	LR: 0.000800
Training Epoch: 40 [28928/47500]	Loss: 0.2640	LR: 0.000800
Training Epoch: 40 [29184/47500]	Loss: 0.2212	LR: 0.000800
Training Epoch: 40 [29440/47500]	Loss: 0.2458	LR: 0.000800
Training Epoch: 40 [29696/47500]	Loss: 0.2671	LR: 0.000800
Training Epoch: 40 [29952/47500]	Loss: 0.2769	LR: 0.000800
Training Epoch: 40 [30208/47500]	Loss: 0.3323	LR: 0.000800
Training Epoch: 40 [30464/47500]	Loss: 0.3589	LR: 0.000800
Training Epoch: 40 [30720/47500]	Loss: 0.2466	LR: 0.000800
Training Epoch: 40 [30976/47500]	Loss: 0.2808	LR: 0.000800
Training Epoch: 40 [31232/47500]	Loss: 0.3499	LR: 0.000800
Training Epoch: 40 [31488/47500]	Loss: 0.3790	LR: 0.000800
Training Epoch: 40 [31744/47500]	Loss: 0.2884	LR: 0.000800
Training Epoch: 40 [32000/47500]	Loss: 0.2694	LR: 0.000800
Training Epoch: 40 [32256/47500]	Loss: 0.2157	LR: 0.000800
Training Epoch: 40 [32512/47500]	Loss: 0.2062	LR: 0.000800
Training Epoch: 40 [32768/47500]	Loss: 0.2901	LR: 0.000800
Training Epoch: 40 [33024/47500]	Loss: 0.2895	LR: 0.000800
Training Epoch: 40 [33280/47500]	Loss: 0.2389	LR: 0.000800
Training Epoch: 40 [33536/47500]	Loss: 0.2380	LR: 0.000800
Training Epoch: 40 [33792/47500]	Loss: 0.2276	LR: 0.000800
Training Epoch: 40 [34048/47500]	Loss: 0.2872	LR: 0.000800
Training Epoch: 40 [34304/47500]	Loss: 0.3238	LR: 0.000800
Training Epoch: 40 [34560/47500]	Loss: 0.3466	LR: 0.000800
Training Epoch: 40 [34816/47500]	Loss: 0.3364	LR: 0.000800
Training Epoch: 40 [35072/47500]	Loss: 0.2631	LR: 0.000800
Training Epoch: 40 [35328/47500]	Loss: 0.3568	LR: 0.000800
Training Epoch: 40 [35584/47500]	Loss: 0.3109	LR: 0.000800
Training Epoch: 40 [35840/47500]	Loss: 0.2680	LR: 0.000800
Training Epoch: 40 [36096/47500]	Loss: 0.2911	LR: 0.000800
Training Epoch: 40 [36352/47500]	Loss: 0.2498	LR: 0.000800
Training Epoch: 40 [36608/47500]	Loss: 0.3004	LR: 0.000800
Training Epoch: 40 [36864/47500]	Loss: 0.2686	LR: 0.000800
Training Epoch: 40 [37120/47500]	Loss: 0.2341	LR: 0.000800
Training Epoch: 40 [37376/47500]	Loss: 0.3518	LR: 0.000800
Training Epoch: 40 [37632/47500]	Loss: 0.2934	LR: 0.000800
Training Epoch: 40 [37888/47500]	Loss: 0.2785	LR: 0.000800
Training Epoch: 40 [38144/47500]	Loss: 0.2048	LR: 0.000800
Training Epoch: 40 [38400/47500]	Loss: 0.3059	LR: 0.000800
Training Epoch: 40 [38656/47500]	Loss: 0.3357	LR: 0.000800
Training Epoch: 40 [38912/47500]	Loss: 0.3379	LR: 0.000800
Training Epoch: 40 [39168/47500]	Loss: 0.3207	LR: 0.000800
Training Epoch: 40 [39424/47500]	Loss: 0.3457	LR: 0.000800
Training Epoch: 40 [39680/47500]	Loss: 0.3010	LR: 0.000800
Training Epoch: 40 [39936/47500]	Loss: 0.2818	LR: 0.000800
Training Epoch: 40 [40192/47500]	Loss: 0.3463	LR: 0.000800
Training Epoch: 40 [40448/47500]	Loss: 0.2784	LR: 0.000800
Training Epoch: 40 [40704/47500]	Loss: 0.2832	LR: 0.000800
Training Epoch: 40 [40960/47500]	Loss: 0.2777	LR: 0.000800
Training Epoch: 40 [41216/47500]	Loss: 0.2586	LR: 0.000800
Training Epoch: 40 [41472/47500]	Loss: 0.2722	LR: 0.000800
Training Epoch: 40 [41728/47500]	Loss: 0.3421	LR: 0.000800
Training Epoch: 40 [41984/47500]	Loss: 0.2688	LR: 0.000800
Training Epoch: 40 [42240/47500]	Loss: 0.3623	LR: 0.000800
Training Epoch: 40 [42496/47500]	Loss: 0.3069	LR: 0.000800
Training Epoch: 40 [42752/47500]	Loss: 0.2653	LR: 0.000800
Training Epoch: 40 [43008/47500]	Loss: 0.2899	LR: 0.000800
Training Epoch: 40 [43264/47500]	Loss: 0.2412	LR: 0.000800
Training Epoch: 40 [43520/47500]	Loss: 0.3256	LR: 0.000800
Training Epoch: 40 [43776/47500]	Loss: 0.3496	LR: 0.000800
Training Epoch: 40 [44032/47500]	Loss: 0.2681	LR: 0.000800
Training Epoch: 40 [44288/47500]	Loss: 0.2888	LR: 0.000800
Training Epoch: 40 [44544/47500]	Loss: 0.2357	LR: 0.000800
Training Epoch: 40 [44800/47500]	Loss: 0.3097	LR: 0.000800
Training Epoch: 40 [45056/47500]	Loss: 0.2604	LR: 0.000800
Training Epoch: 40 [45312/47500]	Loss: 0.3524	LR: 0.000800
Training Epoch: 40 [45568/47500]	Loss: 0.3550	LR: 0.000800
Training Epoch: 40 [45824/47500]	Loss: 0.3623	LR: 0.000800
Training Epoch: 40 [46080/47500]	Loss: 0.3043	LR: 0.000800
Training Epoch: 40 [46336/47500]	Loss: 0.2328	LR: 0.000800
Training Epoch: 40 [46592/47500]	Loss: 0.3105	LR: 0.000800
Training Epoch: 40 [46848/47500]	Loss: 0.2416	LR: 0.000800
Training Epoch: 40 [47104/47500]	Loss: 0.2946	LR: 0.000800
Training Epoch: 40 [47360/47500]	Loss: 0.2337	LR: 0.000800
Training Epoch: 40 [47500/47500]	Loss: 0.3582	LR: 0.000800
Epoch 40 - Average Train Loss: 0.2869, Train Accuracy: 0.9156
Epoch 40 training time consumed: 25.99s
Evaluating Network.....
Test set: Epoch: 40, Average loss: 0.0029, Accuracy: 0.7863, Time consumed:0.90s
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: 78.69140625
Retain Accuracy: 92.18342590332031
Zero-Retain Forget (ZRF): 0.9121204614639282
Membership Inference Attack (MIA): 0.4452
Forget vs Retain Membership Inference Attack (MIA): 0.509
Forget vs Test Membership Inference Attack (MIA): 0.528
Test vs Retain Membership Inference Attack (MIA): 0.4975
Train vs Test Membership Inference Attack (MIA): 0.56725
Forget Set Accuracy (Df): 78.04368591308594
Method Execution Time: 1571.92 seconds
