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

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

📊 Updated class distribution:
Retain set:
  Class 0: 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: 3.0063	LR: 0.000000
Training Epoch: 1 [512/47500]	Loss: 3.0095	LR: 0.000538
Training Epoch: 1 [768/47500]	Loss: 3.0184	LR: 0.001075
Training Epoch: 1 [1024/47500]	Loss: 3.0230	LR: 0.001613
Training Epoch: 1 [1280/47500]	Loss: 3.0044	LR: 0.002151
Training Epoch: 1 [1536/47500]	Loss: 2.9821	LR: 0.002688
Training Epoch: 1 [1792/47500]	Loss: 2.9782	LR: 0.003226
Training Epoch: 1 [2048/47500]	Loss: 2.9643	LR: 0.003763
Training Epoch: 1 [2304/47500]	Loss: 2.9564	LR: 0.004301
Training Epoch: 1 [2560/47500]	Loss: 2.9616	LR: 0.004839
Training Epoch: 1 [2816/47500]	Loss: 2.9264	LR: 0.005376
Training Epoch: 1 [3072/47500]	Loss: 2.9453	LR: 0.005914
Training Epoch: 1 [3328/47500]	Loss: 2.9260	LR: 0.006452
Training Epoch: 1 [3584/47500]	Loss: 2.8942	LR: 0.006989
Training Epoch: 1 [3840/47500]	Loss: 2.8520	LR: 0.007527
Training Epoch: 1 [4096/47500]	Loss: 2.8377	LR: 0.008065
Training Epoch: 1 [4352/47500]	Loss: 2.8147	LR: 0.008602
Training Epoch: 1 [4608/47500]	Loss: 2.8401	LR: 0.009140
Training Epoch: 1 [4864/47500]	Loss: 2.8499	LR: 0.009677
Training Epoch: 1 [5120/47500]	Loss: 2.7985	LR: 0.010215
Training Epoch: 1 [5376/47500]	Loss: 2.7735	LR: 0.010753
Training Epoch: 1 [5632/47500]	Loss: 2.7988	LR: 0.011290
Training Epoch: 1 [5888/47500]	Loss: 2.7811	LR: 0.011828
Training Epoch: 1 [6144/47500]	Loss: 2.7636	LR: 0.012366
Training Epoch: 1 [6400/47500]	Loss: 2.7623	LR: 0.012903
Training Epoch: 1 [6656/47500]	Loss: 2.7451	LR: 0.013441
Training Epoch: 1 [6912/47500]	Loss: 2.8427	LR: 0.013978
Training Epoch: 1 [7168/47500]	Loss: 2.7082	LR: 0.014516
Training Epoch: 1 [7424/47500]	Loss: 2.7643	LR: 0.015054
Training Epoch: 1 [7680/47500]	Loss: 2.7041	LR: 0.015591
Training Epoch: 1 [7936/47500]	Loss: 2.6890	LR: 0.016129
Training Epoch: 1 [8192/47500]	Loss: 2.6810	LR: 0.016667
Training Epoch: 1 [8448/47500]	Loss: 2.6619	LR: 0.017204
Training Epoch: 1 [8704/47500]	Loss: 2.6486	LR: 0.017742
Training Epoch: 1 [8960/47500]	Loss: 2.6999	LR: 0.018280
Training Epoch: 1 [9216/47500]	Loss: 2.5848	LR: 0.018817
Training Epoch: 1 [9472/47500]	Loss: 2.5509	LR: 0.019355
Training Epoch: 1 [9728/47500]	Loss: 2.6057	LR: 0.019892
Training Epoch: 1 [9984/47500]	Loss: 2.6401	LR: 0.020430
Training Epoch: 1 [10240/47500]	Loss: 2.6362	LR: 0.020968
Training Epoch: 1 [10496/47500]	Loss: 2.7153	LR: 0.021505
Training Epoch: 1 [10752/47500]	Loss: 2.6951	LR: 0.022043
Training Epoch: 1 [11008/47500]	Loss: 2.5761	LR: 0.022581
Training Epoch: 1 [11264/47500]	Loss: 2.5936	LR: 0.023118
Training Epoch: 1 [11520/47500]	Loss: 2.5063	LR: 0.023656
Training Epoch: 1 [11776/47500]	Loss: 2.5665	LR: 0.024194
Training Epoch: 1 [12032/47500]	Loss: 2.5746	LR: 0.024731
Training Epoch: 1 [12288/47500]	Loss: 2.5101	LR: 0.025269
Training Epoch: 1 [12544/47500]	Loss: 2.4699	LR: 0.025806
Training Epoch: 1 [12800/47500]	Loss: 2.5784	LR: 0.026344
Training Epoch: 1 [13056/47500]	Loss: 2.5032	LR: 0.026882
Training Epoch: 1 [13312/47500]	Loss: 2.5302	LR: 0.027419
Training Epoch: 1 [13568/47500]	Loss: 2.5365	LR: 0.027957
Training Epoch: 1 [13824/47500]	Loss: 2.5340	LR: 0.028495
Training Epoch: 1 [14080/47500]	Loss: 2.5462	LR: 0.029032
Training Epoch: 1 [14336/47500]	Loss: 2.4386	LR: 0.029570
Training Epoch: 1 [14592/47500]	Loss: 2.5987	LR: 0.030108
Training Epoch: 1 [14848/47500]	Loss: 2.5705	LR: 0.030645
Training Epoch: 1 [15104/47500]	Loss: 2.4790	LR: 0.031183
Training Epoch: 1 [15360/47500]	Loss: 2.5660	LR: 0.031720
Training Epoch: 1 [15616/47500]	Loss: 2.5358	LR: 0.032258
Training Epoch: 1 [15872/47500]	Loss: 2.5092	LR: 0.032796
Training Epoch: 1 [16128/47500]	Loss: 2.5049	LR: 0.033333
Training Epoch: 1 [16384/47500]	Loss: 2.5146	LR: 0.033871
Training Epoch: 1 [16640/47500]	Loss: 2.5109	LR: 0.034409
Training Epoch: 1 [16896/47500]	Loss: 2.5835	LR: 0.034946
Training Epoch: 1 [17152/47500]	Loss: 2.4712	LR: 0.035484
Training Epoch: 1 [17408/47500]	Loss: 2.4830	LR: 0.036022
Training Epoch: 1 [17664/47500]	Loss: 2.4716	LR: 0.036559
Training Epoch: 1 [17920/47500]	Loss: 2.6102	LR: 0.037097
Training Epoch: 1 [18176/47500]	Loss: 2.5885	LR: 0.037634
Training Epoch: 1 [18432/47500]	Loss: 2.5148	LR: 0.038172
Training Epoch: 1 [18688/47500]	Loss: 2.4776	LR: 0.038710
Training Epoch: 1 [18944/47500]	Loss: 2.5915	LR: 0.039247
Training Epoch: 1 [19200/47500]	Loss: 2.4885	LR: 0.039785
Training Epoch: 1 [19456/47500]	Loss: 2.4996	LR: 0.040323
Training Epoch: 1 [19712/47500]	Loss: 2.5021	LR: 0.040860
Training Epoch: 1 [19968/47500]	Loss: 2.5196	LR: 0.041398
Training Epoch: 1 [20224/47500]	Loss: 2.4082	LR: 0.041935
Training Epoch: 1 [20480/47500]	Loss: 2.4025	LR: 0.042473
Training Epoch: 1 [20736/47500]	Loss: 2.4689	LR: 0.043011
Training Epoch: 1 [20992/47500]	Loss: 2.5365	LR: 0.043548
Training Epoch: 1 [21248/47500]	Loss: 2.4085	LR: 0.044086
Training Epoch: 1 [21504/47500]	Loss: 2.4020	LR: 0.044624
Training Epoch: 1 [21760/47500]	Loss: 2.4786	LR: 0.045161
Training Epoch: 1 [22016/47500]	Loss: 2.4220	LR: 0.045699
Training Epoch: 1 [22272/47500]	Loss: 2.4495	LR: 0.046237
Training Epoch: 1 [22528/47500]	Loss: 2.4005	LR: 0.046774
Training Epoch: 1 [22784/47500]	Loss: 2.4837	LR: 0.047312
Training Epoch: 1 [23040/47500]	Loss: 2.3561	LR: 0.047849
Training Epoch: 1 [23296/47500]	Loss: 2.5339	LR: 0.048387
Training Epoch: 1 [23552/47500]	Loss: 2.4754	LR: 0.048925
Training Epoch: 1 [23808/47500]	Loss: 2.4690	LR: 0.049462
Training Epoch: 1 [24064/47500]	Loss: 2.4327	LR: 0.050000
Training Epoch: 1 [24320/47500]	Loss: 2.3833	LR: 0.050538
Training Epoch: 1 [24576/47500]	Loss: 2.4990	LR: 0.051075
Training Epoch: 1 [24832/47500]	Loss: 2.4243	LR: 0.051613
Training Epoch: 1 [25088/47500]	Loss: 2.4254	LR: 0.052151
Training Epoch: 1 [25344/47500]	Loss: 2.4813	LR: 0.052688
Training Epoch: 1 [25600/47500]	Loss: 2.4565	LR: 0.053226
Training Epoch: 1 [25856/47500]	Loss: 2.3656	LR: 0.053763
Training Epoch: 1 [26112/47500]	Loss: 2.4629	LR: 0.054301
Training Epoch: 1 [26368/47500]	Loss: 2.3987	LR: 0.054839
Training Epoch: 1 [26624/47500]	Loss: 2.5441	LR: 0.055376
Training Epoch: 1 [26880/47500]	Loss: 2.4292	LR: 0.055914
Training Epoch: 1 [27136/47500]	Loss: 2.4830	LR: 0.056452
Training Epoch: 1 [27392/47500]	Loss: 2.4987	LR: 0.056989
Training Epoch: 1 [27648/47500]	Loss: 2.4903	LR: 0.057527
Training Epoch: 1 [27904/47500]	Loss: 2.5578	LR: 0.058065
Training Epoch: 1 [28160/47500]	Loss: 2.4818	LR: 0.058602
Training Epoch: 1 [28416/47500]	Loss: 2.4545	LR: 0.059140
Training Epoch: 1 [28672/47500]	Loss: 2.4751	LR: 0.059677
Training Epoch: 1 [28928/47500]	Loss: 2.4852	LR: 0.060215
Training Epoch: 1 [29184/47500]	Loss: 2.5029	LR: 0.060753
Training Epoch: 1 [29440/47500]	Loss: 2.4161	LR: 0.061290
Training Epoch: 1 [29696/47500]	Loss: 2.5260	LR: 0.061828
Training Epoch: 1 [29952/47500]	Loss: 2.4426	LR: 0.062366
Training Epoch: 1 [30208/47500]	Loss: 2.4975	LR: 0.062903
Training Epoch: 1 [30464/47500]	Loss: 2.3231	LR: 0.063441
Training Epoch: 1 [30720/47500]	Loss: 2.3436	LR: 0.063978
Training Epoch: 1 [30976/47500]	Loss: 2.3542	LR: 0.064516
Training Epoch: 1 [31232/47500]	Loss: 2.4371	LR: 0.065054
Training Epoch: 1 [31488/47500]	Loss: 2.2931	LR: 0.065591
Training Epoch: 1 [31744/47500]	Loss: 2.4355	LR: 0.066129
Training Epoch: 1 [32000/47500]	Loss: 2.3041	LR: 0.066667
Training Epoch: 1 [32256/47500]	Loss: 2.4383	LR: 0.067204
Training Epoch: 1 [32512/47500]	Loss: 2.3493	LR: 0.067742
Training Epoch: 1 [32768/47500]	Loss: 2.4153	LR: 0.068280
Training Epoch: 1 [33024/47500]	Loss: 2.4646	LR: 0.068817
Training Epoch: 1 [33280/47500]	Loss: 2.3406	LR: 0.069355
Training Epoch: 1 [33536/47500]	Loss: 2.3976	LR: 0.069892
Training Epoch: 1 [33792/47500]	Loss: 2.4373	LR: 0.070430
Training Epoch: 1 [34048/47500]	Loss: 2.4064	LR: 0.070968
Training Epoch: 1 [34304/47500]	Loss: 2.4119	LR: 0.071505
Training Epoch: 1 [34560/47500]	Loss: 2.2805	LR: 0.072043
Training Epoch: 1 [34816/47500]	Loss: 2.2438	LR: 0.072581
Training Epoch: 1 [35072/47500]	Loss: 2.4010	LR: 0.073118
Training Epoch: 1 [35328/47500]	Loss: 2.3543	LR: 0.073656
Training Epoch: 1 [35584/47500]	Loss: 2.3905	LR: 0.074194
Training Epoch: 1 [35840/47500]	Loss: 2.3674	LR: 0.074731
Training Epoch: 1 [36096/47500]	Loss: 2.3358	LR: 0.075269
Training Epoch: 1 [36352/47500]	Loss: 2.2944	LR: 0.075806
Training Epoch: 1 [36608/47500]	Loss: 2.4601	LR: 0.076344
Training Epoch: 1 [36864/47500]	Loss: 2.2984	LR: 0.076882
Training Epoch: 1 [37120/47500]	Loss: 2.3062	LR: 0.077419
Training Epoch: 1 [37376/47500]	Loss: 2.4839	LR: 0.077957
Training Epoch: 1 [37632/47500]	Loss: 2.3792	LR: 0.078495
Training Epoch: 1 [37888/47500]	Loss: 2.4012	LR: 0.079032
Training Epoch: 1 [38144/47500]	Loss: 2.4854	LR: 0.079570
Training Epoch: 1 [38400/47500]	Loss: 2.3150	LR: 0.080108
Training Epoch: 1 [38656/47500]	Loss: 2.3468	LR: 0.080645
Training Epoch: 1 [38912/47500]	Loss: 2.3839	LR: 0.081183
Training Epoch: 1 [39168/47500]	Loss: 2.4076	LR: 0.081720
Training Epoch: 1 [39424/47500]	Loss: 2.4524	LR: 0.082258
Training Epoch: 1 [39680/47500]	Loss: 2.4457	LR: 0.082796
Training Epoch: 1 [39936/47500]	Loss: 2.3523	LR: 0.083333
Training Epoch: 1 [40192/47500]	Loss: 2.4260	LR: 0.083871
Training Epoch: 1 [40448/47500]	Loss: 2.3128	LR: 0.084409
Training Epoch: 1 [40704/47500]	Loss: 2.3945	LR: 0.084946
Training Epoch: 1 [40960/47500]	Loss: 2.4733	LR: 0.085484
Training Epoch: 1 [41216/47500]	Loss: 2.3922	LR: 0.086022
Training Epoch: 1 [41472/47500]	Loss: 2.3487	LR: 0.086559
Training Epoch: 1 [41728/47500]	Loss: 2.2094	LR: 0.087097
Training Epoch: 1 [41984/47500]	Loss: 2.2903	LR: 0.087634
Training Epoch: 1 [42240/47500]	Loss: 2.2867	LR: 0.088172
Training Epoch: 1 [42496/47500]	Loss: 2.4774	LR: 0.088710
Training Epoch: 1 [42752/47500]	Loss: 2.3134	LR: 0.089247
Training Epoch: 1 [43008/47500]	Loss: 2.2875	LR: 0.089785
Training Epoch: 1 [43264/47500]	Loss: 2.2511	LR: 0.090323
Training Epoch: 1 [43520/47500]	Loss: 2.3276	LR: 0.090860
Training Epoch: 1 [43776/47500]	Loss: 2.4014	LR: 0.091398
Training Epoch: 1 [44032/47500]	Loss: 2.2252	LR: 0.091935
Training Epoch: 1 [44288/47500]	Loss: 2.3679	LR: 0.092473
Training Epoch: 1 [44544/47500]	Loss: 2.2016	LR: 0.093011
Training Epoch: 1 [44800/47500]	Loss: 2.2920	LR: 0.093548
Training Epoch: 1 [45056/47500]	Loss: 2.3484	LR: 0.094086
Training Epoch: 1 [45312/47500]	Loss: 2.3754	LR: 0.094624
Training Epoch: 1 [45568/47500]	Loss: 2.3448	LR: 0.095161
Training Epoch: 1 [45824/47500]	Loss: 2.3940	LR: 0.095699
Training Epoch: 1 [46080/47500]	Loss: 2.4768	LR: 0.096237
Training Epoch: 1 [46336/47500]	Loss: 2.4181	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 2.4468	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 2.3424	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 2.4012	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 2.2841	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 2.2962	LR: 0.099462
Epoch 1 - Average Train Loss: 2.5175, Train Accuracy: 0.2185
Epoch 1 training time consumed: 26.71s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0150, Accuracy: 0.1878, Time consumed:1.16s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_21h_50m_11s/AllCNN-Cifar20-seed5-ret50-1-best.pth
Training Epoch: 2 [256/47500]	Loss: 2.4669	LR: 0.100000
Training Epoch: 2 [512/47500]	Loss: 2.2970	LR: 0.100000
Training Epoch: 2 [768/47500]	Loss: 2.4251	LR: 0.100000
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Epoch 2 - Average Train Loss: 2.1687, Train Accuracy: 0.3212
Epoch 2 training time consumed: 26.08s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0088, Accuracy: 0.3349, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_21h_50m_11s/AllCNN-Cifar20-seed5-ret50-2-best.pth
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Training Epoch: 3 [47500/47500]	Loss: 1.8529	LR: 0.100000
Epoch 3 - Average Train Loss: 1.9345, Train Accuracy: 0.3915
Epoch 3 training time consumed: 26.09s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0086, Accuracy: 0.3663, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_21h_50m_11s/AllCNN-Cifar20-seed5-ret50-3-best.pth
Training Epoch: 4 [256/47500]	Loss: 1.6942	LR: 0.100000
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Epoch 4 - Average Train Loss: 1.7579, Train Accuracy: 0.4464
Epoch 4 training time consumed: 26.07s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0072, Accuracy: 0.4314, Time consumed:0.89s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_21h_50m_11s/AllCNN-Cifar20-seed5-ret50-4-best.pth
Training Epoch: 5 [256/47500]	Loss: 1.6538	LR: 0.100000
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Epoch 5 - Average Train Loss: 1.6096, Train Accuracy: 0.4886
Epoch 5 training time consumed: 26.28s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0074, Accuracy: 0.4392, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_21h_50m_11s/AllCNN-Cifar20-seed5-ret50-5-best.pth
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Training Epoch: 6 [47500/47500]	Loss: 1.7018	LR: 0.100000
Epoch 6 - Average Train Loss: 1.4794, Train Accuracy: 0.5290
Epoch 6 training time consumed: 26.06s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0065, Accuracy: 0.4894, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_21h_50m_11s/AllCNN-Cifar20-seed5-ret50-6-best.pth
Training Epoch: 7 [256/47500]	Loss: 1.3703	LR: 0.100000
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Epoch 7 - Average Train Loss: 1.3793, Train Accuracy: 0.5569
Epoch 7 training time consumed: 26.07s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0067, Accuracy: 0.4963, Time consumed:0.89s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_21h_50m_11s/AllCNN-Cifar20-seed5-ret50-7-best.pth
Training Epoch: 8 [256/47500]	Loss: 1.3892	LR: 0.100000
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Epoch 8 - Average Train Loss: 1.2779, Train Accuracy: 0.5928
Epoch 8 training time consumed: 26.20s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0060, Accuracy: 0.5272, Time consumed:0.95s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_21h_50m_11s/AllCNN-Cifar20-seed5-ret50-8-best.pth
Training Epoch: 9 [256/47500]	Loss: 1.2290	LR: 0.100000
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Training Epoch: 9 [47500/47500]	Loss: 1.3724	LR: 0.100000
Epoch 9 - Average Train Loss: 1.2105, Train Accuracy: 0.6109
Epoch 9 training time consumed: 26.11s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0053, Accuracy: 0.5828, Time consumed:0.88s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_21h_50m_11s/AllCNN-Cifar20-seed5-ret50-9-best.pth
Training Epoch: 10 [256/47500]	Loss: 1.1641	LR: 0.100000
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Epoch 10 - Average Train Loss: 1.1596, Train Accuracy: 0.6279
Epoch 10 training time consumed: 26.23s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0049, Accuracy: 0.6105, Time consumed:0.97s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_21h_50m_11s/AllCNN-Cifar20-seed5-ret50-10-best.pth
Training Epoch: 11 [256/47500]	Loss: 1.1643	LR: 0.100000
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Training Epoch: 11 [29952/47500]	Loss: 1.2022	LR: 0.100000
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Training Epoch: 11 [30976/47500]	Loss: 1.1054	LR: 0.100000
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Training Epoch: 11 [31744/47500]	Loss: 0.9499	LR: 0.100000
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Training Epoch: 11 [42240/47500]	Loss: 1.1618	LR: 0.100000
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Training Epoch: 11 [43520/47500]	Loss: 1.0925	LR: 0.100000
Training Epoch: 11 [43776/47500]	Loss: 1.0931	LR: 0.100000
Training Epoch: 11 [44032/47500]	Loss: 1.0266	LR: 0.100000
Training Epoch: 11 [44288/47500]	Loss: 1.2216	LR: 0.100000
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Training Epoch: 11 [44800/47500]	Loss: 1.0373	LR: 0.100000
Training Epoch: 11 [45056/47500]	Loss: 1.1088	LR: 0.100000
Training Epoch: 11 [45312/47500]	Loss: 1.0873	LR: 0.100000
Training Epoch: 11 [45568/47500]	Loss: 1.1749	LR: 0.100000
Training Epoch: 11 [45824/47500]	Loss: 1.1329	LR: 0.100000
Training Epoch: 11 [46080/47500]	Loss: 1.1533	LR: 0.100000
Training Epoch: 11 [46336/47500]	Loss: 1.1318	LR: 0.100000
Training Epoch: 11 [46592/47500]	Loss: 1.1964	LR: 0.100000
Training Epoch: 11 [46848/47500]	Loss: 1.0335	LR: 0.100000
Training Epoch: 11 [47104/47500]	Loss: 1.1544	LR: 0.100000
Training Epoch: 11 [47360/47500]	Loss: 1.0391	LR: 0.100000
Training Epoch: 11 [47500/47500]	Loss: 1.1488	LR: 0.100000
Epoch 11 - Average Train Loss: 1.1137, Train Accuracy: 0.6432
Epoch 11 training time consumed: 26.17s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0060, Accuracy: 0.5528, Time consumed:0.85s
Training Epoch: 12 [256/47500]	Loss: 1.1169	LR: 0.100000
Training Epoch: 12 [512/47500]	Loss: 0.9928	LR: 0.100000
Training Epoch: 12 [768/47500]	Loss: 1.0952	LR: 0.100000
Training Epoch: 12 [1024/47500]	Loss: 1.0792	LR: 0.100000
Training Epoch: 12 [1280/47500]	Loss: 1.1837	LR: 0.100000
Training Epoch: 12 [1536/47500]	Loss: 1.0366	LR: 0.100000
Training Epoch: 12 [1792/47500]	Loss: 1.0661	LR: 0.100000
Training Epoch: 12 [2048/47500]	Loss: 0.9977	LR: 0.100000
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Training Epoch: 12 [2560/47500]	Loss: 0.9861	LR: 0.100000
Training Epoch: 12 [2816/47500]	Loss: 1.0547	LR: 0.100000
Training Epoch: 12 [3072/47500]	Loss: 1.0847	LR: 0.100000
Training Epoch: 12 [3328/47500]	Loss: 0.9572	LR: 0.100000
Training Epoch: 12 [3584/47500]	Loss: 1.1154	LR: 0.100000
Training Epoch: 12 [3840/47500]	Loss: 1.0742	LR: 0.100000
Training Epoch: 12 [4096/47500]	Loss: 0.9414	LR: 0.100000
Training Epoch: 12 [4352/47500]	Loss: 1.0801	LR: 0.100000
Training Epoch: 12 [4608/47500]	Loss: 1.2722	LR: 0.100000
Training Epoch: 12 [4864/47500]	Loss: 0.9925	LR: 0.100000
Training Epoch: 12 [5120/47500]	Loss: 1.0473	LR: 0.100000
Training Epoch: 12 [5376/47500]	Loss: 0.9473	LR: 0.100000
Training Epoch: 12 [5632/47500]	Loss: 0.9624	LR: 0.100000
Training Epoch: 12 [5888/47500]	Loss: 1.0909	LR: 0.100000
Training Epoch: 12 [6144/47500]	Loss: 1.0741	LR: 0.100000
Training Epoch: 12 [6400/47500]	Loss: 0.9248	LR: 0.100000
Training Epoch: 12 [6656/47500]	Loss: 1.0256	LR: 0.100000
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Training Epoch: 12 [7168/47500]	Loss: 1.0259	LR: 0.100000
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Training Epoch: 12 [29440/47500]	Loss: 1.0465	LR: 0.100000
Training Epoch: 12 [29696/47500]	Loss: 0.8853	LR: 0.100000
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Training Epoch: 12 [40192/47500]	Loss: 0.9096	LR: 0.100000
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Training Epoch: 12 [41472/47500]	Loss: 1.3150	LR: 0.100000
Training Epoch: 12 [41728/47500]	Loss: 0.9547	LR: 0.100000
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Training Epoch: 12 [42496/47500]	Loss: 1.1435	LR: 0.100000
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Training Epoch: 12 [43520/47500]	Loss: 0.9681	LR: 0.100000
Training Epoch: 12 [43776/47500]	Loss: 1.1143	LR: 0.100000
Training Epoch: 12 [44032/47500]	Loss: 0.9344	LR: 0.100000
Training Epoch: 12 [44288/47500]	Loss: 1.1539	LR: 0.100000
Training Epoch: 12 [44544/47500]	Loss: 0.9734	LR: 0.100000
Training Epoch: 12 [44800/47500]	Loss: 1.2310	LR: 0.100000
Training Epoch: 12 [45056/47500]	Loss: 1.1653	LR: 0.100000
Training Epoch: 12 [45312/47500]	Loss: 1.0932	LR: 0.100000
Training Epoch: 12 [45568/47500]	Loss: 1.0871	LR: 0.100000
Training Epoch: 12 [45824/47500]	Loss: 1.1766	LR: 0.100000
Training Epoch: 12 [46080/47500]	Loss: 1.0960	LR: 0.100000
Training Epoch: 12 [46336/47500]	Loss: 0.9849	LR: 0.100000
Training Epoch: 12 [46592/47500]	Loss: 0.9223	LR: 0.100000
Training Epoch: 12 [46848/47500]	Loss: 1.0255	LR: 0.100000
Training Epoch: 12 [47104/47500]	Loss: 0.9937	LR: 0.100000
Training Epoch: 12 [47360/47500]	Loss: 1.1867	LR: 0.100000
Training Epoch: 12 [47500/47500]	Loss: 1.1504	LR: 0.100000
Epoch 12 - Average Train Loss: 1.0627, Train Accuracy: 0.6599
Epoch 12 training time consumed: 26.17s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0060, Accuracy: 0.5911, Time consumed:0.88s
Training Epoch: 13 [256/47500]	Loss: 1.1028	LR: 0.100000
Training Epoch: 13 [512/47500]	Loss: 0.9190	LR: 0.100000
Training Epoch: 13 [768/47500]	Loss: 1.0044	LR: 0.100000
Training Epoch: 13 [1024/47500]	Loss: 0.9462	LR: 0.100000
Training Epoch: 13 [1280/47500]	Loss: 1.0798	LR: 0.100000
Training Epoch: 13 [1536/47500]	Loss: 1.0943	LR: 0.100000
Training Epoch: 13 [1792/47500]	Loss: 1.0929	LR: 0.100000
Training Epoch: 13 [2048/47500]	Loss: 0.9916	LR: 0.100000
Training Epoch: 13 [2304/47500]	Loss: 1.1427	LR: 0.100000
Training Epoch: 13 [2560/47500]	Loss: 0.9820	LR: 0.100000
Training Epoch: 13 [2816/47500]	Loss: 1.1400	LR: 0.100000
Training Epoch: 13 [3072/47500]	Loss: 1.1055	LR: 0.100000
Training Epoch: 13 [3328/47500]	Loss: 0.9090	LR: 0.100000
Training Epoch: 13 [3584/47500]	Loss: 1.0475	LR: 0.100000
Training Epoch: 13 [3840/47500]	Loss: 0.9029	LR: 0.100000
Training Epoch: 13 [4096/47500]	Loss: 0.9392	LR: 0.100000
Training Epoch: 13 [4352/47500]	Loss: 0.9996	LR: 0.100000
Training Epoch: 13 [4608/47500]	Loss: 0.9016	LR: 0.100000
Training Epoch: 13 [4864/47500]	Loss: 1.0286	LR: 0.100000
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Training Epoch: 13 [19712/47500]	Loss: 0.8931	LR: 0.100000
Training Epoch: 13 [19968/47500]	Loss: 1.0853	LR: 0.100000
Training Epoch: 13 [20224/47500]	Loss: 1.0572	LR: 0.100000
Training Epoch: 13 [20480/47500]	Loss: 0.9587	LR: 0.100000
Training Epoch: 13 [20736/47500]	Loss: 0.9911	LR: 0.100000
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Training Epoch: 13 [21504/47500]	Loss: 0.9580	LR: 0.100000
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Training Epoch: 13 [22016/47500]	Loss: 0.9844	LR: 0.100000
Training Epoch: 13 [22272/47500]	Loss: 0.8724	LR: 0.100000
Training Epoch: 13 [22528/47500]	Loss: 1.1018	LR: 0.100000
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Training Epoch: 13 [24576/47500]	Loss: 1.0479	LR: 0.100000
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Training Epoch: 13 [29440/47500]	Loss: 0.9720	LR: 0.100000
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Training Epoch: 13 [29952/47500]	Loss: 0.8846	LR: 0.100000
Training Epoch: 13 [30208/47500]	Loss: 1.0460	LR: 0.100000
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Training Epoch: 13 [30720/47500]	Loss: 0.9945	LR: 0.100000
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Training Epoch: 13 [31232/47500]	Loss: 1.1781	LR: 0.100000
Training Epoch: 13 [31488/47500]	Loss: 1.0628	LR: 0.100000
Training Epoch: 13 [31744/47500]	Loss: 1.1034	LR: 0.100000
Training Epoch: 13 [32000/47500]	Loss: 1.1318	LR: 0.100000
Training Epoch: 13 [32256/47500]	Loss: 0.9726	LR: 0.100000
Training Epoch: 13 [32512/47500]	Loss: 1.1027	LR: 0.100000
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Training Epoch: 13 [35072/47500]	Loss: 0.9707	LR: 0.100000
Training Epoch: 13 [35328/47500]	Loss: 0.9478	LR: 0.100000
Training Epoch: 13 [35584/47500]	Loss: 1.0759	LR: 0.100000
Training Epoch: 13 [35840/47500]	Loss: 1.0515	LR: 0.100000
Training Epoch: 13 [36096/47500]	Loss: 1.1359	LR: 0.100000
Training Epoch: 13 [36352/47500]	Loss: 1.2087	LR: 0.100000
Training Epoch: 13 [36608/47500]	Loss: 1.0906	LR: 0.100000
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Training Epoch: 13 [37120/47500]	Loss: 1.0687	LR: 0.100000
Training Epoch: 13 [37376/47500]	Loss: 0.9653	LR: 0.100000
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Training Epoch: 13 [37888/47500]	Loss: 0.9747	LR: 0.100000
Training Epoch: 13 [38144/47500]	Loss: 1.0154	LR: 0.100000
Training Epoch: 13 [38400/47500]	Loss: 0.9795	LR: 0.100000
Training Epoch: 13 [38656/47500]	Loss: 1.1703	LR: 0.100000
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Training Epoch: 13 [39168/47500]	Loss: 0.9267	LR: 0.100000
Training Epoch: 13 [39424/47500]	Loss: 1.0448	LR: 0.100000
Training Epoch: 13 [39680/47500]	Loss: 0.9777	LR: 0.100000
Training Epoch: 13 [39936/47500]	Loss: 1.2346	LR: 0.100000
Training Epoch: 13 [40192/47500]	Loss: 0.9912	LR: 0.100000
Training Epoch: 13 [40448/47500]	Loss: 1.0140	LR: 0.100000
Training Epoch: 13 [40704/47500]	Loss: 1.0298	LR: 0.100000
Training Epoch: 13 [40960/47500]	Loss: 1.0268	LR: 0.100000
Training Epoch: 13 [41216/47500]	Loss: 1.1134	LR: 0.100000
Training Epoch: 13 [41472/47500]	Loss: 1.0467	LR: 0.100000
Training Epoch: 13 [41728/47500]	Loss: 0.9369	LR: 0.100000
Training Epoch: 13 [41984/47500]	Loss: 1.1105	LR: 0.100000
Training Epoch: 13 [42240/47500]	Loss: 1.1107	LR: 0.100000
Training Epoch: 13 [42496/47500]	Loss: 1.0474	LR: 0.100000
Training Epoch: 13 [42752/47500]	Loss: 1.0262	LR: 0.100000
Training Epoch: 13 [43008/47500]	Loss: 1.0493	LR: 0.100000
Training Epoch: 13 [43264/47500]	Loss: 0.9345	LR: 0.100000
Training Epoch: 13 [43520/47500]	Loss: 0.9987	LR: 0.100000
Training Epoch: 13 [43776/47500]	Loss: 1.0268	LR: 0.100000
Training Epoch: 13 [44032/47500]	Loss: 0.9771	LR: 0.100000
Training Epoch: 13 [44288/47500]	Loss: 1.0791	LR: 0.100000
Training Epoch: 13 [44544/47500]	Loss: 1.0708	LR: 0.100000
Training Epoch: 13 [44800/47500]	Loss: 1.0985	LR: 0.100000
Training Epoch: 13 [45056/47500]	Loss: 1.1566	LR: 0.100000
Training Epoch: 13 [45312/47500]	Loss: 1.0228	LR: 0.100000
Training Epoch: 13 [45568/47500]	Loss: 1.1092	LR: 0.100000
Training Epoch: 13 [45824/47500]	Loss: 0.9713	LR: 0.100000
Training Epoch: 13 [46080/47500]	Loss: 1.0202	LR: 0.100000
Training Epoch: 13 [46336/47500]	Loss: 1.0480	LR: 0.100000
Training Epoch: 13 [46592/47500]	Loss: 0.9914	LR: 0.100000
Training Epoch: 13 [46848/47500]	Loss: 1.1025	LR: 0.100000
Training Epoch: 13 [47104/47500]	Loss: 1.1013	LR: 0.100000
Training Epoch: 13 [47360/47500]	Loss: 0.9968	LR: 0.100000
Training Epoch: 13 [47500/47500]	Loss: 1.0131	LR: 0.100000
Epoch 13 - Average Train Loss: 1.0341, Train Accuracy: 0.6669
Epoch 13 training time consumed: 26.16s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0055, Accuracy: 0.5962, Time consumed:0.99s
Training Epoch: 14 [256/47500]	Loss: 1.0734	LR: 0.100000
Training Epoch: 14 [512/47500]	Loss: 0.8334	LR: 0.100000
Training Epoch: 14 [768/47500]	Loss: 0.9524	LR: 0.100000
Training Epoch: 14 [1024/47500]	Loss: 0.9763	LR: 0.100000
Training Epoch: 14 [1280/47500]	Loss: 1.0156	LR: 0.100000
Training Epoch: 14 [1536/47500]	Loss: 1.0364	LR: 0.100000
Training Epoch: 14 [1792/47500]	Loss: 0.8568	LR: 0.100000
Training Epoch: 14 [2048/47500]	Loss: 0.9877	LR: 0.100000
Training Epoch: 14 [2304/47500]	Loss: 0.9884	LR: 0.100000
Training Epoch: 14 [2560/47500]	Loss: 0.9247	LR: 0.100000
Training Epoch: 14 [2816/47500]	Loss: 1.0676	LR: 0.100000
Training Epoch: 14 [3072/47500]	Loss: 0.9507	LR: 0.100000
Training Epoch: 14 [3328/47500]	Loss: 0.9176	LR: 0.100000
Training Epoch: 14 [3584/47500]	Loss: 1.0159	LR: 0.100000
Training Epoch: 14 [3840/47500]	Loss: 1.0513	LR: 0.100000
Training Epoch: 14 [4096/47500]	Loss: 1.1180	LR: 0.100000
Training Epoch: 14 [4352/47500]	Loss: 1.0918	LR: 0.100000
Training Epoch: 14 [4608/47500]	Loss: 0.9404	LR: 0.100000
Training Epoch: 14 [4864/47500]	Loss: 0.9108	LR: 0.100000
Training Epoch: 14 [5120/47500]	Loss: 0.9291	LR: 0.100000
Training Epoch: 14 [5376/47500]	Loss: 1.0358	LR: 0.100000
Training Epoch: 14 [5632/47500]	Loss: 1.0112	LR: 0.100000
Training Epoch: 14 [5888/47500]	Loss: 0.9257	LR: 0.100000
Training Epoch: 14 [6144/47500]	Loss: 1.1079	LR: 0.100000
Training Epoch: 14 [6400/47500]	Loss: 0.9103	LR: 0.100000
Training Epoch: 14 [6656/47500]	Loss: 0.9655	LR: 0.100000
Training Epoch: 14 [6912/47500]	Loss: 0.9453	LR: 0.100000
Training Epoch: 14 [7168/47500]	Loss: 1.0287	LR: 0.100000
Training Epoch: 14 [7424/47500]	Loss: 1.0237	LR: 0.100000
Training Epoch: 14 [7680/47500]	Loss: 0.9956	LR: 0.100000
Training Epoch: 14 [7936/47500]	Loss: 1.0460	LR: 0.100000
Training Epoch: 14 [8192/47500]	Loss: 1.0687	LR: 0.100000
Training Epoch: 14 [8448/47500]	Loss: 1.1314	LR: 0.100000
Training Epoch: 14 [8704/47500]	Loss: 0.9292	LR: 0.100000
Training Epoch: 14 [8960/47500]	Loss: 1.0287	LR: 0.100000
Training Epoch: 14 [9216/47500]	Loss: 0.9125	LR: 0.100000
Training Epoch: 14 [9472/47500]	Loss: 1.0364	LR: 0.100000
Training Epoch: 14 [9728/47500]	Loss: 0.9666	LR: 0.100000
Training Epoch: 14 [9984/47500]	Loss: 1.0658	LR: 0.100000
Training Epoch: 14 [10240/47500]	Loss: 1.1388	LR: 0.100000
Training Epoch: 14 [10496/47500]	Loss: 0.9837	LR: 0.100000
Training Epoch: 14 [10752/47500]	Loss: 0.9935	LR: 0.100000
Training Epoch: 14 [11008/47500]	Loss: 0.9968	LR: 0.100000
Training Epoch: 14 [11264/47500]	Loss: 1.0516	LR: 0.100000
Training Epoch: 14 [11520/47500]	Loss: 1.0000	LR: 0.100000
Training Epoch: 14 [11776/47500]	Loss: 0.9959	LR: 0.100000
Training Epoch: 14 [12032/47500]	Loss: 0.9840	LR: 0.100000
Training Epoch: 14 [12288/47500]	Loss: 1.0761	LR: 0.100000
Training Epoch: 14 [12544/47500]	Loss: 0.9938	LR: 0.100000
Training Epoch: 14 [12800/47500]	Loss: 0.8844	LR: 0.100000
Training Epoch: 14 [13056/47500]	Loss: 0.9389	LR: 0.100000
Training Epoch: 14 [13312/47500]	Loss: 1.0567	LR: 0.100000
Training Epoch: 14 [13568/47500]	Loss: 1.0107	LR: 0.100000
Training Epoch: 14 [13824/47500]	Loss: 1.0863	LR: 0.100000
Training Epoch: 14 [14080/47500]	Loss: 0.9410	LR: 0.100000
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Training Epoch: 14 [15360/47500]	Loss: 0.8528	LR: 0.100000
Training Epoch: 14 [15616/47500]	Loss: 1.0345	LR: 0.100000
Training Epoch: 14 [15872/47500]	Loss: 0.9395	LR: 0.100000
Training Epoch: 14 [16128/47500]	Loss: 0.9922	LR: 0.100000
Training Epoch: 14 [16384/47500]	Loss: 1.0198	LR: 0.100000
Training Epoch: 14 [16640/47500]	Loss: 0.9405	LR: 0.100000
Training Epoch: 14 [16896/47500]	Loss: 1.0655	LR: 0.100000
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Training Epoch: 14 [17408/47500]	Loss: 0.9695	LR: 0.100000
Training Epoch: 14 [17664/47500]	Loss: 0.9703	LR: 0.100000
Training Epoch: 14 [17920/47500]	Loss: 0.9089	LR: 0.100000
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Training Epoch: 14 [18944/47500]	Loss: 1.0291	LR: 0.100000
Training Epoch: 14 [19200/47500]	Loss: 1.0245	LR: 0.100000
Training Epoch: 14 [19456/47500]	Loss: 1.0196	LR: 0.100000
Training Epoch: 14 [19712/47500]	Loss: 0.9808	LR: 0.100000
Training Epoch: 14 [19968/47500]	Loss: 0.8430	LR: 0.100000
Training Epoch: 14 [20224/47500]	Loss: 0.9460	LR: 0.100000
Training Epoch: 14 [20480/47500]	Loss: 1.0469	LR: 0.100000
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Training Epoch: 14 [24320/47500]	Loss: 1.0884	LR: 0.100000
Training Epoch: 14 [24576/47500]	Loss: 1.0827	LR: 0.100000
Training Epoch: 14 [24832/47500]	Loss: 0.9114	LR: 0.100000
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Training Epoch: 14 [27392/47500]	Loss: 0.8721	LR: 0.100000
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Training Epoch: 14 [29184/47500]	Loss: 0.9059	LR: 0.100000
Training Epoch: 14 [29440/47500]	Loss: 0.9405	LR: 0.100000
Training Epoch: 14 [29696/47500]	Loss: 1.0210	LR: 0.100000
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Training Epoch: 14 [30208/47500]	Loss: 1.0451	LR: 0.100000
Training Epoch: 14 [30464/47500]	Loss: 0.8883	LR: 0.100000
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Training Epoch: 14 [30976/47500]	Loss: 0.8989	LR: 0.100000
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Training Epoch: 14 [31488/47500]	Loss: 1.1285	LR: 0.100000
Training Epoch: 14 [31744/47500]	Loss: 1.0981	LR: 0.100000
Training Epoch: 14 [32000/47500]	Loss: 0.8950	LR: 0.100000
Training Epoch: 14 [32256/47500]	Loss: 1.1130	LR: 0.100000
Training Epoch: 14 [32512/47500]	Loss: 0.9635	LR: 0.100000
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Training Epoch: 14 [33536/47500]	Loss: 1.1056	LR: 0.100000
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Training Epoch: 14 [47500/47500]	Loss: 1.1545	LR: 0.100000
Epoch 14 - Average Train Loss: 1.0012, Train Accuracy: 0.6795
Epoch 14 training time consumed: 26.14s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0060, Accuracy: 0.5694, Time consumed:0.90s
Training Epoch: 15 [256/47500]	Loss: 0.9053	LR: 0.020000
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Training Epoch: 15 [47500/47500]	Loss: 0.6429	LR: 0.020000
Epoch 15 - Average Train Loss: 0.7744, Train Accuracy: 0.7543
Epoch 15 training time consumed: 26.08s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0033, Accuracy: 0.7411, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_21h_50m_11s/AllCNN-Cifar20-seed5-ret50-15-best.pth
Training Epoch: 16 [256/47500]	Loss: 0.7210	LR: 0.020000
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Training Epoch: 16 [11264/47500]	Loss: 0.8011	LR: 0.020000
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Training Epoch: 16 [11776/47500]	Loss: 0.6508	LR: 0.020000
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Training Epoch: 16 [13312/47500]	Loss: 0.7920	LR: 0.020000
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Training Epoch: 16 [14336/47500]	Loss: 0.6999	LR: 0.020000
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Training Epoch: 16 [15104/47500]	Loss: 0.8070	LR: 0.020000
Training Epoch: 16 [15360/47500]	Loss: 0.6317	LR: 0.020000
Training Epoch: 16 [15616/47500]	Loss: 0.6713	LR: 0.020000
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Training Epoch: 16 [16640/47500]	Loss: 0.6296	LR: 0.020000
Training Epoch: 16 [16896/47500]	Loss: 0.7296	LR: 0.020000
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Training Epoch: 16 [18944/47500]	Loss: 0.7141	LR: 0.020000
Training Epoch: 16 [19200/47500]	Loss: 0.6876	LR: 0.020000
Training Epoch: 16 [19456/47500]	Loss: 0.7076	LR: 0.020000
Training Epoch: 16 [19712/47500]	Loss: 0.7676	LR: 0.020000
Training Epoch: 16 [19968/47500]	Loss: 0.7014	LR: 0.020000
Training Epoch: 16 [20224/47500]	Loss: 0.6898	LR: 0.020000
Training Epoch: 16 [20480/47500]	Loss: 0.7102	LR: 0.020000
Training Epoch: 16 [20736/47500]	Loss: 0.7086	LR: 0.020000
Training Epoch: 16 [20992/47500]	Loss: 0.7362	LR: 0.020000
Training Epoch: 16 [21248/47500]	Loss: 0.6455	LR: 0.020000
Training Epoch: 16 [21504/47500]	Loss: 0.6913	LR: 0.020000
Training Epoch: 16 [21760/47500]	Loss: 0.6462	LR: 0.020000
Training Epoch: 16 [22016/47500]	Loss: 0.7309	LR: 0.020000
Training Epoch: 16 [22272/47500]	Loss: 0.8169	LR: 0.020000
Training Epoch: 16 [22528/47500]	Loss: 0.7580	LR: 0.020000
Training Epoch: 16 [22784/47500]	Loss: 0.6991	LR: 0.020000
Training Epoch: 16 [23040/47500]	Loss: 0.6052	LR: 0.020000
Training Epoch: 16 [23296/47500]	Loss: 0.7559	LR: 0.020000
Training Epoch: 16 [23552/47500]	Loss: 0.7605	LR: 0.020000
Training Epoch: 16 [23808/47500]	Loss: 0.6924	LR: 0.020000
Training Epoch: 16 [24064/47500]	Loss: 0.6754	LR: 0.020000
Training Epoch: 16 [24320/47500]	Loss: 0.5941	LR: 0.020000
Training Epoch: 16 [24576/47500]	Loss: 0.7581	LR: 0.020000
Training Epoch: 16 [24832/47500]	Loss: 0.6667	LR: 0.020000
Training Epoch: 16 [25088/47500]	Loss: 0.6951	LR: 0.020000
Training Epoch: 16 [25344/47500]	Loss: 0.6130	LR: 0.020000
Training Epoch: 16 [25600/47500]	Loss: 0.6266	LR: 0.020000
Training Epoch: 16 [25856/47500]	Loss: 0.6699	LR: 0.020000
Training Epoch: 16 [26112/47500]	Loss: 0.6806	LR: 0.020000
Training Epoch: 16 [26368/47500]	Loss: 0.7572	LR: 0.020000
Training Epoch: 16 [26624/47500]	Loss: 0.5754	LR: 0.020000
Training Epoch: 16 [26880/47500]	Loss: 0.6413	LR: 0.020000
Training Epoch: 16 [27136/47500]	Loss: 0.7219	LR: 0.020000
Training Epoch: 16 [27392/47500]	Loss: 0.7301	LR: 0.020000
Training Epoch: 16 [27648/47500]	Loss: 0.6244	LR: 0.020000
Training Epoch: 16 [27904/47500]	Loss: 0.7069	LR: 0.020000
Training Epoch: 16 [28160/47500]	Loss: 0.6820	LR: 0.020000
Training Epoch: 16 [28416/47500]	Loss: 0.6177	LR: 0.020000
Training Epoch: 16 [28672/47500]	Loss: 0.6731	LR: 0.020000
Training Epoch: 16 [28928/47500]	Loss: 0.7613	LR: 0.020000
Training Epoch: 16 [29184/47500]	Loss: 0.5982	LR: 0.020000
Training Epoch: 16 [29440/47500]	Loss: 0.6979	LR: 0.020000
Training Epoch: 16 [29696/47500]	Loss: 0.6958	LR: 0.020000
Training Epoch: 16 [29952/47500]	Loss: 0.5659	LR: 0.020000
Training Epoch: 16 [30208/47500]	Loss: 0.7150	LR: 0.020000
Training Epoch: 16 [30464/47500]	Loss: 0.6901	LR: 0.020000
Training Epoch: 16 [30720/47500]	Loss: 0.8451	LR: 0.020000
Training Epoch: 16 [30976/47500]	Loss: 0.7126	LR: 0.020000
Training Epoch: 16 [31232/47500]	Loss: 0.7716	LR: 0.020000
Training Epoch: 16 [31488/47500]	Loss: 0.7113	LR: 0.020000
Training Epoch: 16 [31744/47500]	Loss: 0.7094	LR: 0.020000
Training Epoch: 16 [32000/47500]	Loss: 0.6575	LR: 0.020000
Training Epoch: 16 [32256/47500]	Loss: 0.7534	LR: 0.020000
Training Epoch: 16 [32512/47500]	Loss: 0.6587	LR: 0.020000
Training Epoch: 16 [32768/47500]	Loss: 0.7620	LR: 0.020000
Training Epoch: 16 [33024/47500]	Loss: 0.7015	LR: 0.020000
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Training Epoch: 16 [33536/47500]	Loss: 0.7197	LR: 0.020000
Training Epoch: 16 [33792/47500]	Loss: 0.5283	LR: 0.020000
Training Epoch: 16 [34048/47500]	Loss: 0.6322	LR: 0.020000
Training Epoch: 16 [34304/47500]	Loss: 0.7147	LR: 0.020000
Training Epoch: 16 [34560/47500]	Loss: 0.6214	LR: 0.020000
Training Epoch: 16 [34816/47500]	Loss: 0.6161	LR: 0.020000
Training Epoch: 16 [35072/47500]	Loss: 0.7305	LR: 0.020000
Training Epoch: 16 [35328/47500]	Loss: 0.6617	LR: 0.020000
Training Epoch: 16 [35584/47500]	Loss: 0.8007	LR: 0.020000
Training Epoch: 16 [35840/47500]	Loss: 0.6751	LR: 0.020000
Training Epoch: 16 [36096/47500]	Loss: 0.6184	LR: 0.020000
Training Epoch: 16 [36352/47500]	Loss: 0.8185	LR: 0.020000
Training Epoch: 16 [36608/47500]	Loss: 0.7192	LR: 0.020000
Training Epoch: 16 [36864/47500]	Loss: 0.7162	LR: 0.020000
Training Epoch: 16 [37120/47500]	Loss: 0.7241	LR: 0.020000
Training Epoch: 16 [37376/47500]	Loss: 0.7089	LR: 0.020000
Training Epoch: 16 [37632/47500]	Loss: 0.7639	LR: 0.020000
Training Epoch: 16 [37888/47500]	Loss: 0.6351	LR: 0.020000
Training Epoch: 16 [38144/47500]	Loss: 0.5907	LR: 0.020000
Training Epoch: 16 [38400/47500]	Loss: 0.7315	LR: 0.020000
Training Epoch: 16 [38656/47500]	Loss: 0.7090	LR: 0.020000
Training Epoch: 16 [38912/47500]	Loss: 0.6548	LR: 0.020000
Training Epoch: 16 [39168/47500]	Loss: 0.7193	LR: 0.020000
Training Epoch: 16 [39424/47500]	Loss: 0.8155	LR: 0.020000
Training Epoch: 16 [39680/47500]	Loss: 0.7448	LR: 0.020000
Training Epoch: 16 [39936/47500]	Loss: 0.6608	LR: 0.020000
Training Epoch: 16 [40192/47500]	Loss: 0.6359	LR: 0.020000
Training Epoch: 16 [40448/47500]	Loss: 0.6129	LR: 0.020000
Training Epoch: 16 [40704/47500]	Loss: 0.7423	LR: 0.020000
Training Epoch: 16 [40960/47500]	Loss: 0.7923	LR: 0.020000
Training Epoch: 16 [41216/47500]	Loss: 0.8429	LR: 0.020000
Training Epoch: 16 [41472/47500]	Loss: 0.5288	LR: 0.020000
Training Epoch: 16 [41728/47500]	Loss: 0.5797	LR: 0.020000
Training Epoch: 16 [41984/47500]	Loss: 0.7458	LR: 0.020000
Training Epoch: 16 [42240/47500]	Loss: 0.7071	LR: 0.020000
Training Epoch: 16 [42496/47500]	Loss: 0.6290	LR: 0.020000
Training Epoch: 16 [42752/47500]	Loss: 0.7278	LR: 0.020000
Training Epoch: 16 [43008/47500]	Loss: 0.6440	LR: 0.020000
Training Epoch: 16 [43264/47500]	Loss: 0.6723	LR: 0.020000
Training Epoch: 16 [43520/47500]	Loss: 0.7095	LR: 0.020000
Training Epoch: 16 [43776/47500]	Loss: 0.6878	LR: 0.020000
Training Epoch: 16 [44032/47500]	Loss: 0.7323	LR: 0.020000
Training Epoch: 16 [44288/47500]	Loss: 0.6917	LR: 0.020000
Training Epoch: 16 [44544/47500]	Loss: 0.7034	LR: 0.020000
Training Epoch: 16 [44800/47500]	Loss: 0.6882	LR: 0.020000
Training Epoch: 16 [45056/47500]	Loss: 0.7531	LR: 0.020000
Training Epoch: 16 [45312/47500]	Loss: 0.6414	LR: 0.020000
Training Epoch: 16 [45568/47500]	Loss: 0.7314	LR: 0.020000
Training Epoch: 16 [45824/47500]	Loss: 0.6254	LR: 0.020000
Training Epoch: 16 [46080/47500]	Loss: 0.6671	LR: 0.020000
Training Epoch: 16 [46336/47500]	Loss: 0.6179	LR: 0.020000
Training Epoch: 16 [46592/47500]	Loss: 0.6346	LR: 0.020000
Training Epoch: 16 [46848/47500]	Loss: 0.7291	LR: 0.020000
Training Epoch: 16 [47104/47500]	Loss: 0.7859	LR: 0.020000
Training Epoch: 16 [47360/47500]	Loss: 0.6160	LR: 0.020000
Training Epoch: 16 [47500/47500]	Loss: 0.7349	LR: 0.020000
Epoch 16 - Average Train Loss: 0.6981, Train Accuracy: 0.7753
Epoch 16 training time consumed: 26.06s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0034, Accuracy: 0.7351, Time consumed:0.88s
Training Epoch: 17 [256/47500]	Loss: 0.6225	LR: 0.020000
Training Epoch: 17 [512/47500]	Loss: 0.6591	LR: 0.020000
Training Epoch: 17 [768/47500]	Loss: 0.7253	LR: 0.020000
Training Epoch: 17 [1024/47500]	Loss: 0.6716	LR: 0.020000
Training Epoch: 17 [1280/47500]	Loss: 0.6309	LR: 0.020000
Training Epoch: 17 [1536/47500]	Loss: 0.5621	LR: 0.020000
Training Epoch: 17 [1792/47500]	Loss: 0.5930	LR: 0.020000
Training Epoch: 17 [2048/47500]	Loss: 0.7844	LR: 0.020000
Training Epoch: 17 [2304/47500]	Loss: 0.6421	LR: 0.020000
Training Epoch: 17 [2560/47500]	Loss: 0.7709	LR: 0.020000
Training Epoch: 17 [2816/47500]	Loss: 0.5574	LR: 0.020000
Training Epoch: 17 [3072/47500]	Loss: 0.6293	LR: 0.020000
Training Epoch: 17 [3328/47500]	Loss: 0.6144	LR: 0.020000
Training Epoch: 17 [3584/47500]	Loss: 0.7424	LR: 0.020000
Training Epoch: 17 [3840/47500]	Loss: 0.7234	LR: 0.020000
Training Epoch: 17 [4096/47500]	Loss: 0.7555	LR: 0.020000
Training Epoch: 17 [4352/47500]	Loss: 0.6526	LR: 0.020000
Training Epoch: 17 [4608/47500]	Loss: 0.6017	LR: 0.020000
Training Epoch: 17 [4864/47500]	Loss: 0.5874	LR: 0.020000
Training Epoch: 17 [5120/47500]	Loss: 0.6283	LR: 0.020000
Training Epoch: 17 [5376/47500]	Loss: 0.5654	LR: 0.020000
Training Epoch: 17 [5632/47500]	Loss: 0.6486	LR: 0.020000
Training Epoch: 17 [5888/47500]	Loss: 0.6522	LR: 0.020000
Training Epoch: 17 [6144/47500]	Loss: 0.5999	LR: 0.020000
Training Epoch: 17 [6400/47500]	Loss: 0.6366	LR: 0.020000
Training Epoch: 17 [6656/47500]	Loss: 0.5772	LR: 0.020000
Training Epoch: 17 [6912/47500]	Loss: 0.5555	LR: 0.020000
Training Epoch: 17 [7168/47500]	Loss: 0.6051	LR: 0.020000
Training Epoch: 17 [7424/47500]	Loss: 0.6597	LR: 0.020000
Training Epoch: 17 [7680/47500]	Loss: 0.6144	LR: 0.020000
Training Epoch: 17 [7936/47500]	Loss: 0.6802	LR: 0.020000
Training Epoch: 17 [8192/47500]	Loss: 0.7393	LR: 0.020000
Training Epoch: 17 [8448/47500]	Loss: 0.6980	LR: 0.020000
Training Epoch: 17 [8704/47500]	Loss: 0.6316	LR: 0.020000
Training Epoch: 17 [8960/47500]	Loss: 0.7981	LR: 0.020000
Training Epoch: 17 [9216/47500]	Loss: 0.6198	LR: 0.020000
Training Epoch: 17 [9472/47500]	Loss: 0.7012	LR: 0.020000
Training Epoch: 17 [9728/47500]	Loss: 0.6350	LR: 0.020000
Training Epoch: 17 [9984/47500]	Loss: 0.6491	LR: 0.020000
Training Epoch: 17 [10240/47500]	Loss: 0.7866	LR: 0.020000
Training Epoch: 17 [10496/47500]	Loss: 0.5442	LR: 0.020000
Training Epoch: 17 [10752/47500]	Loss: 0.6408	LR: 0.020000
Training Epoch: 17 [11008/47500]	Loss: 0.6877	LR: 0.020000
Training Epoch: 17 [11264/47500]	Loss: 0.6584	LR: 0.020000
Training Epoch: 17 [11520/47500]	Loss: 0.7553	LR: 0.020000
Training Epoch: 17 [11776/47500]	Loss: 0.5966	LR: 0.020000
Training Epoch: 17 [12032/47500]	Loss: 0.6166	LR: 0.020000
Training Epoch: 17 [12288/47500]	Loss: 0.6077	LR: 0.020000
Training Epoch: 17 [12544/47500]	Loss: 0.6443	LR: 0.020000
Training Epoch: 17 [12800/47500]	Loss: 0.6377	LR: 0.020000
Training Epoch: 17 [13056/47500]	Loss: 0.5773	LR: 0.020000
Training Epoch: 17 [13312/47500]	Loss: 0.7230	LR: 0.020000
Training Epoch: 17 [13568/47500]	Loss: 0.6041	LR: 0.020000
Training Epoch: 17 [13824/47500]	Loss: 0.7220	LR: 0.020000
Training Epoch: 17 [14080/47500]	Loss: 0.6606	LR: 0.020000
Training Epoch: 17 [14336/47500]	Loss: 0.7103	LR: 0.020000
Training Epoch: 17 [14592/47500]	Loss: 0.7250	LR: 0.020000
Training Epoch: 17 [14848/47500]	Loss: 0.6714	LR: 0.020000
Training Epoch: 17 [15104/47500]	Loss: 0.6304	LR: 0.020000
Training Epoch: 17 [15360/47500]	Loss: 0.7199	LR: 0.020000
Training Epoch: 17 [15616/47500]	Loss: 0.6962	LR: 0.020000
Training Epoch: 17 [15872/47500]	Loss: 0.6333	LR: 0.020000
Training Epoch: 17 [16128/47500]	Loss: 0.6162	LR: 0.020000
Training Epoch: 17 [16384/47500]	Loss: 0.6974	LR: 0.020000
Training Epoch: 17 [16640/47500]	Loss: 0.5795	LR: 0.020000
Training Epoch: 17 [16896/47500]	Loss: 0.6028	LR: 0.020000
Training Epoch: 17 [17152/47500]	Loss: 0.5810	LR: 0.020000
Training Epoch: 17 [17408/47500]	Loss: 0.7368	LR: 0.020000
Training Epoch: 17 [17664/47500]	Loss: 0.6829	LR: 0.020000
Training Epoch: 17 [17920/47500]	Loss: 0.5795	LR: 0.020000
Training Epoch: 17 [18176/47500]	Loss: 0.6332	LR: 0.020000
Training Epoch: 17 [18432/47500]	Loss: 0.7109	LR: 0.020000
Training Epoch: 17 [18688/47500]	Loss: 0.7336	LR: 0.020000
Training Epoch: 17 [18944/47500]	Loss: 0.6770	LR: 0.020000
Training Epoch: 17 [19200/47500]	Loss: 0.8168	LR: 0.020000
Training Epoch: 17 [19456/47500]	Loss: 0.7636	LR: 0.020000
Training Epoch: 17 [19712/47500]	Loss: 0.6017	LR: 0.020000
Training Epoch: 17 [19968/47500]	Loss: 0.6753	LR: 0.020000
Training Epoch: 17 [20224/47500]	Loss: 0.6518	LR: 0.020000
Training Epoch: 17 [20480/47500]	Loss: 0.6550	LR: 0.020000
Training Epoch: 17 [20736/47500]	Loss: 0.5675	LR: 0.020000
Training Epoch: 17 [20992/47500]	Loss: 0.7412	LR: 0.020000
Training Epoch: 17 [21248/47500]	Loss: 0.5706	LR: 0.020000
Training Epoch: 17 [21504/47500]	Loss: 0.7144	LR: 0.020000
Training Epoch: 17 [21760/47500]	Loss: 0.5666	LR: 0.020000
Training Epoch: 17 [22016/47500]	Loss: 0.6296	LR: 0.020000
Training Epoch: 17 [22272/47500]	Loss: 0.6361	LR: 0.020000
Training Epoch: 17 [22528/47500]	Loss: 0.7260	LR: 0.020000
Training Epoch: 17 [22784/47500]	Loss: 0.6124	LR: 0.020000
Training Epoch: 17 [23040/47500]	Loss: 0.6377	LR: 0.020000
Training Epoch: 17 [23296/47500]	Loss: 0.6889	LR: 0.020000
Training Epoch: 17 [23552/47500]	Loss: 0.6798	LR: 0.020000
Training Epoch: 17 [23808/47500]	Loss: 0.6520	LR: 0.020000
Training Epoch: 17 [24064/47500]	Loss: 0.6084	LR: 0.020000
Training Epoch: 17 [24320/47500]	Loss: 0.7214	LR: 0.020000
Training Epoch: 17 [24576/47500]	Loss: 0.6511	LR: 0.020000
Training Epoch: 17 [24832/47500]	Loss: 0.6155	LR: 0.020000
Training Epoch: 17 [25088/47500]	Loss: 0.7366	LR: 0.020000
Training Epoch: 17 [25344/47500]	Loss: 0.6770	LR: 0.020000
Training Epoch: 17 [25600/47500]	Loss: 0.6863	LR: 0.020000
Training Epoch: 17 [25856/47500]	Loss: 0.5939	LR: 0.020000
Training Epoch: 17 [26112/47500]	Loss: 0.6408	LR: 0.020000
Training Epoch: 17 [26368/47500]	Loss: 0.5704	LR: 0.020000
Training Epoch: 17 [26624/47500]	Loss: 0.5718	LR: 0.020000
Training Epoch: 17 [26880/47500]	Loss: 0.6743	LR: 0.020000
Training Epoch: 17 [27136/47500]	Loss: 0.6215	LR: 0.020000
Training Epoch: 17 [27392/47500]	Loss: 0.7150	LR: 0.020000
Training Epoch: 17 [27648/47500]	Loss: 0.6528	LR: 0.020000
Training Epoch: 17 [27904/47500]	Loss: 0.6584	LR: 0.020000
Training Epoch: 17 [28160/47500]	Loss: 0.6520	LR: 0.020000
Training Epoch: 17 [28416/47500]	Loss: 0.6527	LR: 0.020000
Training Epoch: 17 [28672/47500]	Loss: 0.7165	LR: 0.020000
Training Epoch: 17 [28928/47500]	Loss: 0.6390	LR: 0.020000
Training Epoch: 17 [29184/47500]	Loss: 0.6998	LR: 0.020000
Training Epoch: 17 [29440/47500]	Loss: 0.6476	LR: 0.020000
Training Epoch: 17 [29696/47500]	Loss: 0.7777	LR: 0.020000
Training Epoch: 17 [29952/47500]	Loss: 0.6288	LR: 0.020000
Training Epoch: 17 [30208/47500]	Loss: 0.6556	LR: 0.020000
Training Epoch: 17 [30464/47500]	Loss: 0.8226	LR: 0.020000
Training Epoch: 17 [30720/47500]	Loss: 0.6874	LR: 0.020000
Training Epoch: 17 [30976/47500]	Loss: 0.6277	LR: 0.020000
Training Epoch: 17 [31232/47500]	Loss: 0.6120	LR: 0.020000
Training Epoch: 17 [31488/47500]	Loss: 0.5199	LR: 0.020000
Training Epoch: 17 [31744/47500]	Loss: 0.6529	LR: 0.020000
Training Epoch: 17 [32000/47500]	Loss: 0.7216	LR: 0.020000
Training Epoch: 17 [32256/47500]	Loss: 0.6416	LR: 0.020000
Training Epoch: 17 [32512/47500]	Loss: 0.6569	LR: 0.020000
Training Epoch: 17 [32768/47500]	Loss: 0.6431	LR: 0.020000
Training Epoch: 17 [33024/47500]	Loss: 0.6161	LR: 0.020000
Training Epoch: 17 [33280/47500]	Loss: 0.6546	LR: 0.020000
Training Epoch: 17 [33536/47500]	Loss: 0.7049	LR: 0.020000
Training Epoch: 17 [33792/47500]	Loss: 0.6461	LR: 0.020000
Training Epoch: 17 [34048/47500]	Loss: 0.7038	LR: 0.020000
Training Epoch: 17 [34304/47500]	Loss: 0.7102	LR: 0.020000
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Training Epoch: 17 [34816/47500]	Loss: 0.6494	LR: 0.020000
Training Epoch: 17 [35072/47500]	Loss: 0.6316	LR: 0.020000
Training Epoch: 17 [35328/47500]	Loss: 0.8065	LR: 0.020000
Training Epoch: 17 [35584/47500]	Loss: 0.7714	LR: 0.020000
Training Epoch: 17 [35840/47500]	Loss: 0.7579	LR: 0.020000
Training Epoch: 17 [36096/47500]	Loss: 0.7277	LR: 0.020000
Training Epoch: 17 [36352/47500]	Loss: 0.7056	LR: 0.020000
Training Epoch: 17 [36608/47500]	Loss: 0.7937	LR: 0.020000
Training Epoch: 17 [36864/47500]	Loss: 0.7317	LR: 0.020000
Training Epoch: 17 [37120/47500]	Loss: 0.7296	LR: 0.020000
Training Epoch: 17 [37376/47500]	Loss: 0.6278	LR: 0.020000
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Training Epoch: 17 [47500/47500]	Loss: 0.6534	LR: 0.020000
Epoch 17 - Average Train Loss: 0.6643, Train Accuracy: 0.7880
Epoch 17 training time consumed: 26.02s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0032, Accuracy: 0.7486, Time consumed:0.97s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_21h_50m_11s/AllCNN-Cifar20-seed5-ret50-17-best.pth
Training Epoch: 18 [256/47500]	Loss: 0.6540	LR: 0.020000
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Training Epoch: 18 [47500/47500]	Loss: 0.6881	LR: 0.020000
Epoch 18 - Average Train Loss: 0.6402, Train Accuracy: 0.7945
Epoch 18 training time consumed: 26.04s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0032, Accuracy: 0.7457, Time consumed:0.96s
Training Epoch: 19 [256/47500]	Loss: 0.6391	LR: 0.020000
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Training Epoch: 19 [14592/47500]	Loss: 0.5990	LR: 0.020000
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Training Epoch: 19 [15104/47500]	Loss: 0.6600	LR: 0.020000
Training Epoch: 19 [15360/47500]	Loss: 0.6791	LR: 0.020000
Training Epoch: 19 [15616/47500]	Loss: 0.7304	LR: 0.020000
Training Epoch: 19 [15872/47500]	Loss: 0.6281	LR: 0.020000
Training Epoch: 19 [16128/47500]	Loss: 0.6291	LR: 0.020000
Training Epoch: 19 [16384/47500]	Loss: 0.5167	LR: 0.020000
Training Epoch: 19 [16640/47500]	Loss: 0.6458	LR: 0.020000
Training Epoch: 19 [16896/47500]	Loss: 0.7185	LR: 0.020000
Training Epoch: 19 [17152/47500]	Loss: 0.6597	LR: 0.020000
Training Epoch: 19 [17408/47500]	Loss: 0.5893	LR: 0.020000
Training Epoch: 19 [17664/47500]	Loss: 0.6304	LR: 0.020000
Training Epoch: 19 [17920/47500]	Loss: 0.6068	LR: 0.020000
Training Epoch: 19 [18176/47500]	Loss: 0.6081	LR: 0.020000
Training Epoch: 19 [18432/47500]	Loss: 0.6563	LR: 0.020000
Training Epoch: 19 [18688/47500]	Loss: 0.6103	LR: 0.020000
Training Epoch: 19 [18944/47500]	Loss: 0.7557	LR: 0.020000
Training Epoch: 19 [19200/47500]	Loss: 0.6420	LR: 0.020000
Training Epoch: 19 [19456/47500]	Loss: 0.6767	LR: 0.020000
Training Epoch: 19 [19712/47500]	Loss: 0.7293	LR: 0.020000
Training Epoch: 19 [19968/47500]	Loss: 0.7001	LR: 0.020000
Training Epoch: 19 [20224/47500]	Loss: 0.5897	LR: 0.020000
Training Epoch: 19 [20480/47500]	Loss: 0.6796	LR: 0.020000
Training Epoch: 19 [20736/47500]	Loss: 0.6313	LR: 0.020000
Training Epoch: 19 [20992/47500]	Loss: 0.7452	LR: 0.020000
Training Epoch: 19 [21248/47500]	Loss: 0.5045	LR: 0.020000
Training Epoch: 19 [21504/47500]	Loss: 0.6149	LR: 0.020000
Training Epoch: 19 [21760/47500]	Loss: 0.5584	LR: 0.020000
Training Epoch: 19 [22016/47500]	Loss: 0.5146	LR: 0.020000
Training Epoch: 19 [22272/47500]	Loss: 0.5880	LR: 0.020000
Training Epoch: 19 [22528/47500]	Loss: 0.5128	LR: 0.020000
Training Epoch: 19 [22784/47500]	Loss: 0.5253	LR: 0.020000
Training Epoch: 19 [23040/47500]	Loss: 0.7023	LR: 0.020000
Training Epoch: 19 [23296/47500]	Loss: 0.5458	LR: 0.020000
Training Epoch: 19 [23552/47500]	Loss: 0.6570	LR: 0.020000
Training Epoch: 19 [23808/47500]	Loss: 0.6360	LR: 0.020000
Training Epoch: 19 [24064/47500]	Loss: 0.6101	LR: 0.020000
Training Epoch: 19 [24320/47500]	Loss: 0.7495	LR: 0.020000
Training Epoch: 19 [24576/47500]	Loss: 0.5414	LR: 0.020000
Training Epoch: 19 [24832/47500]	Loss: 0.4957	LR: 0.020000
Training Epoch: 19 [25088/47500]	Loss: 0.6029	LR: 0.020000
Training Epoch: 19 [25344/47500]	Loss: 0.5995	LR: 0.020000
Training Epoch: 19 [25600/47500]	Loss: 0.6395	LR: 0.020000
Training Epoch: 19 [25856/47500]	Loss: 0.6360	LR: 0.020000
Training Epoch: 19 [26112/47500]	Loss: 0.6069	LR: 0.020000
Training Epoch: 19 [26368/47500]	Loss: 0.7452	LR: 0.020000
Training Epoch: 19 [26624/47500]	Loss: 0.6618	LR: 0.020000
Training Epoch: 19 [26880/47500]	Loss: 0.5877	LR: 0.020000
Training Epoch: 19 [27136/47500]	Loss: 0.5822	LR: 0.020000
Training Epoch: 19 [27392/47500]	Loss: 0.6092	LR: 0.020000
Training Epoch: 19 [27648/47500]	Loss: 0.5824	LR: 0.020000
Training Epoch: 19 [27904/47500]	Loss: 0.6317	LR: 0.020000
Training Epoch: 19 [28160/47500]	Loss: 0.5707	LR: 0.020000
Training Epoch: 19 [28416/47500]	Loss: 0.5670	LR: 0.020000
Training Epoch: 19 [28672/47500]	Loss: 0.6677	LR: 0.020000
Training Epoch: 19 [28928/47500]	Loss: 0.5791	LR: 0.020000
Training Epoch: 19 [29184/47500]	Loss: 0.6478	LR: 0.020000
Training Epoch: 19 [29440/47500]	Loss: 0.5547	LR: 0.020000
Training Epoch: 19 [29696/47500]	Loss: 0.6263	LR: 0.020000
Training Epoch: 19 [29952/47500]	Loss: 0.6542	LR: 0.020000
Training Epoch: 19 [30208/47500]	Loss: 0.6017	LR: 0.020000
Training Epoch: 19 [30464/47500]	Loss: 0.5522	LR: 0.020000
Training Epoch: 19 [30720/47500]	Loss: 0.6925	LR: 0.020000
Training Epoch: 19 [30976/47500]	Loss: 0.5921	LR: 0.020000
Training Epoch: 19 [31232/47500]	Loss: 0.6173	LR: 0.020000
Training Epoch: 19 [31488/47500]	Loss: 0.7084	LR: 0.020000
Training Epoch: 19 [31744/47500]	Loss: 0.6970	LR: 0.020000
Training Epoch: 19 [32000/47500]	Loss: 0.6924	LR: 0.020000
Training Epoch: 19 [32256/47500]	Loss: 0.7553	LR: 0.020000
Training Epoch: 19 [32512/47500]	Loss: 0.5999	LR: 0.020000
Training Epoch: 19 [32768/47500]	Loss: 0.6356	LR: 0.020000
Training Epoch: 19 [33024/47500]	Loss: 0.5713	LR: 0.020000
Training Epoch: 19 [33280/47500]	Loss: 0.7314	LR: 0.020000
Training Epoch: 19 [33536/47500]	Loss: 0.6219	LR: 0.020000
Training Epoch: 19 [33792/47500]	Loss: 0.7542	LR: 0.020000
Training Epoch: 19 [34048/47500]	Loss: 0.8012	LR: 0.020000
Training Epoch: 19 [34304/47500]	Loss: 0.5494	LR: 0.020000
Training Epoch: 19 [34560/47500]	Loss: 0.5883	LR: 0.020000
Training Epoch: 19 [34816/47500]	Loss: 0.5757	LR: 0.020000
Training Epoch: 19 [35072/47500]	Loss: 0.6778	LR: 0.020000
Training Epoch: 19 [35328/47500]	Loss: 0.6698	LR: 0.020000
Training Epoch: 19 [35584/47500]	Loss: 0.6823	LR: 0.020000
Training Epoch: 19 [35840/47500]	Loss: 0.7538	LR: 0.020000
Training Epoch: 19 [36096/47500]	Loss: 0.5717	LR: 0.020000
Training Epoch: 19 [36352/47500]	Loss: 0.6950	LR: 0.020000
Training Epoch: 19 [36608/47500]	Loss: 0.6448	LR: 0.020000
Training Epoch: 19 [36864/47500]	Loss: 0.6188	LR: 0.020000
Training Epoch: 19 [37120/47500]	Loss: 0.7754	LR: 0.020000
Training Epoch: 19 [37376/47500]	Loss: 0.6422	LR: 0.020000
Training Epoch: 19 [37632/47500]	Loss: 0.6897	LR: 0.020000
Training Epoch: 19 [37888/47500]	Loss: 0.5841	LR: 0.020000
Training Epoch: 19 [38144/47500]	Loss: 0.6416	LR: 0.020000
Training Epoch: 19 [38400/47500]	Loss: 0.6285	LR: 0.020000
Training Epoch: 19 [38656/47500]	Loss: 0.7305	LR: 0.020000
Training Epoch: 19 [38912/47500]	Loss: 0.7246	LR: 0.020000
Training Epoch: 19 [39168/47500]	Loss: 0.6009	LR: 0.020000
Training Epoch: 19 [39424/47500]	Loss: 0.7175	LR: 0.020000
Training Epoch: 19 [39680/47500]	Loss: 0.5938	LR: 0.020000
Training Epoch: 19 [39936/47500]	Loss: 0.6475	LR: 0.020000
Training Epoch: 19 [40192/47500]	Loss: 0.6106	LR: 0.020000
Training Epoch: 19 [40448/47500]	Loss: 0.5866	LR: 0.020000
Training Epoch: 19 [40704/47500]	Loss: 0.6162	LR: 0.020000
Training Epoch: 19 [40960/47500]	Loss: 0.5764	LR: 0.020000
Training Epoch: 19 [41216/47500]	Loss: 0.6069	LR: 0.020000
Training Epoch: 19 [41472/47500]	Loss: 0.5566	LR: 0.020000
Training Epoch: 19 [41728/47500]	Loss: 0.5827	LR: 0.020000
Training Epoch: 19 [41984/47500]	Loss: 0.7229	LR: 0.020000
Training Epoch: 19 [42240/47500]	Loss: 0.6316	LR: 0.020000
Training Epoch: 19 [42496/47500]	Loss: 0.6331	LR: 0.020000
Training Epoch: 19 [42752/47500]	Loss: 0.4981	LR: 0.020000
Training Epoch: 19 [43008/47500]	Loss: 0.6133	LR: 0.020000
Training Epoch: 19 [43264/47500]	Loss: 0.6169	LR: 0.020000
Training Epoch: 19 [43520/47500]	Loss: 0.5256	LR: 0.020000
Training Epoch: 19 [43776/47500]	Loss: 0.7196	LR: 0.020000
Training Epoch: 19 [44032/47500]	Loss: 0.5879	LR: 0.020000
Training Epoch: 19 [44288/47500]	Loss: 0.5645	LR: 0.020000
Training Epoch: 19 [44544/47500]	Loss: 0.7386	LR: 0.020000
Training Epoch: 19 [44800/47500]	Loss: 0.6395	LR: 0.020000
Training Epoch: 19 [45056/47500]	Loss: 0.6806	LR: 0.020000
Training Epoch: 19 [45312/47500]	Loss: 0.7076	LR: 0.020000
Training Epoch: 19 [45568/47500]	Loss: 0.7043	LR: 0.020000
Training Epoch: 19 [45824/47500]	Loss: 0.5456	LR: 0.020000
Training Epoch: 19 [46080/47500]	Loss: 0.6970	LR: 0.020000
Training Epoch: 19 [46336/47500]	Loss: 0.7091	LR: 0.020000
Training Epoch: 19 [46592/47500]	Loss: 0.7317	LR: 0.020000
Training Epoch: 19 [46848/47500]	Loss: 0.5351	LR: 0.020000
Training Epoch: 19 [47104/47500]	Loss: 0.6484	LR: 0.020000
Training Epoch: 19 [47360/47500]	Loss: 0.7056	LR: 0.020000
Training Epoch: 19 [47500/47500]	Loss: 0.5219	LR: 0.020000
Epoch 19 - Average Train Loss: 0.6304, Train Accuracy: 0.7967
Epoch 19 training time consumed: 26.50s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0033, Accuracy: 0.7459, Time consumed:0.91s
Training Epoch: 20 [256/47500]	Loss: 0.5834	LR: 0.020000
Training Epoch: 20 [512/47500]	Loss: 0.5367	LR: 0.020000
Training Epoch: 20 [768/47500]	Loss: 0.6902	LR: 0.020000
Training Epoch: 20 [1024/47500]	Loss: 0.5346	LR: 0.020000
Training Epoch: 20 [1280/47500]	Loss: 0.4967	LR: 0.020000
Training Epoch: 20 [1536/47500]	Loss: 0.6752	LR: 0.020000
Training Epoch: 20 [1792/47500]	Loss: 0.6243	LR: 0.020000
Training Epoch: 20 [2048/47500]	Loss: 0.6827	LR: 0.020000
Training Epoch: 20 [2304/47500]	Loss: 0.5365	LR: 0.020000
Training Epoch: 20 [2560/47500]	Loss: 0.5709	LR: 0.020000
Training Epoch: 20 [2816/47500]	Loss: 0.6897	LR: 0.020000
Training Epoch: 20 [3072/47500]	Loss: 0.5795	LR: 0.020000
Training Epoch: 20 [3328/47500]	Loss: 0.6872	LR: 0.020000
Training Epoch: 20 [3584/47500]	Loss: 0.5254	LR: 0.020000
Training Epoch: 20 [3840/47500]	Loss: 0.6790	LR: 0.020000
Training Epoch: 20 [4096/47500]	Loss: 0.5408	LR: 0.020000
Training Epoch: 20 [4352/47500]	Loss: 0.6223	LR: 0.020000
Training Epoch: 20 [4608/47500]	Loss: 0.5541	LR: 0.020000
Training Epoch: 20 [4864/47500]	Loss: 0.6014	LR: 0.020000
Training Epoch: 20 [5120/47500]	Loss: 0.6340	LR: 0.020000
Training Epoch: 20 [5376/47500]	Loss: 0.6246	LR: 0.020000
Training Epoch: 20 [5632/47500]	Loss: 0.5101	LR: 0.020000
Training Epoch: 20 [5888/47500]	Loss: 0.5265	LR: 0.020000
Training Epoch: 20 [6144/47500]	Loss: 0.5186	LR: 0.020000
Training Epoch: 20 [6400/47500]	Loss: 0.5737	LR: 0.020000
Training Epoch: 20 [6656/47500]	Loss: 0.6001	LR: 0.020000
Training Epoch: 20 [6912/47500]	Loss: 0.8267	LR: 0.020000
Training Epoch: 20 [7168/47500]	Loss: 0.5377	LR: 0.020000
Training Epoch: 20 [7424/47500]	Loss: 0.6764	LR: 0.020000
Training Epoch: 20 [7680/47500]	Loss: 0.5256	LR: 0.020000
Training Epoch: 20 [7936/47500]	Loss: 0.5935	LR: 0.020000
Training Epoch: 20 [8192/47500]	Loss: 0.7047	LR: 0.020000
Training Epoch: 20 [8448/47500]	Loss: 0.6775	LR: 0.020000
Training Epoch: 20 [8704/47500]	Loss: 0.6229	LR: 0.020000
Training Epoch: 20 [8960/47500]	Loss: 0.5720	LR: 0.020000
Training Epoch: 20 [9216/47500]	Loss: 0.4853	LR: 0.020000
Training Epoch: 20 [9472/47500]	Loss: 0.5729	LR: 0.020000
Training Epoch: 20 [9728/47500]	Loss: 0.6494	LR: 0.020000
Training Epoch: 20 [9984/47500]	Loss: 0.5132	LR: 0.020000
Training Epoch: 20 [10240/47500]	Loss: 0.5852	LR: 0.020000
Training Epoch: 20 [10496/47500]	Loss: 0.4803	LR: 0.020000
Training Epoch: 20 [10752/47500]	Loss: 0.5575	LR: 0.020000
Training Epoch: 20 [11008/47500]	Loss: 0.6154	LR: 0.020000
Training Epoch: 20 [11264/47500]	Loss: 0.5977	LR: 0.020000
Training Epoch: 20 [11520/47500]	Loss: 0.5689	LR: 0.020000
Training Epoch: 20 [11776/47500]	Loss: 0.6876	LR: 0.020000
Training Epoch: 20 [12032/47500]	Loss: 0.5427	LR: 0.020000
Training Epoch: 20 [12288/47500]	Loss: 0.6224	LR: 0.020000
Training Epoch: 20 [12544/47500]	Loss: 0.5898	LR: 0.020000
Training Epoch: 20 [12800/47500]	Loss: 0.5584	LR: 0.020000
Training Epoch: 20 [13056/47500]	Loss: 0.7406	LR: 0.020000
Training Epoch: 20 [13312/47500]	Loss: 0.6200	LR: 0.020000
Training Epoch: 20 [13568/47500]	Loss: 0.6235	LR: 0.020000
Training Epoch: 20 [13824/47500]	Loss: 0.5141	LR: 0.020000
Training Epoch: 20 [14080/47500]	Loss: 0.6090	LR: 0.020000
Training Epoch: 20 [14336/47500]	Loss: 0.4978	LR: 0.020000
Training Epoch: 20 [14592/47500]	Loss: 0.6420	LR: 0.020000
Training Epoch: 20 [14848/47500]	Loss: 0.7139	LR: 0.020000
Training Epoch: 20 [15104/47500]	Loss: 0.7122	LR: 0.020000
Training Epoch: 20 [15360/47500]	Loss: 0.6634	LR: 0.020000
Training Epoch: 20 [15616/47500]	Loss: 0.6490	LR: 0.020000
Training Epoch: 20 [15872/47500]	Loss: 0.5648	LR: 0.020000
Training Epoch: 20 [16128/47500]	Loss: 0.5798	LR: 0.020000
Training Epoch: 20 [16384/47500]	Loss: 0.5830	LR: 0.020000
Training Epoch: 20 [16640/47500]	Loss: 0.4867	LR: 0.020000
Training Epoch: 20 [16896/47500]	Loss: 0.6073	LR: 0.020000
Training Epoch: 20 [17152/47500]	Loss: 0.5628	LR: 0.020000
Training Epoch: 20 [17408/47500]	Loss: 0.6188	LR: 0.020000
Training Epoch: 20 [17664/47500]	Loss: 0.6907	LR: 0.020000
Training Epoch: 20 [17920/47500]	Loss: 0.5943	LR: 0.020000
Training Epoch: 20 [18176/47500]	Loss: 0.6529	LR: 0.020000
Training Epoch: 20 [18432/47500]	Loss: 0.5310	LR: 0.020000
Training Epoch: 20 [18688/47500]	Loss: 0.6569	LR: 0.020000
Training Epoch: 20 [18944/47500]	Loss: 0.5842	LR: 0.020000
Training Epoch: 20 [19200/47500]	Loss: 0.7206	LR: 0.020000
Training Epoch: 20 [19456/47500]	Loss: 0.5374	LR: 0.020000
Training Epoch: 20 [19712/47500]	Loss: 0.5785	LR: 0.020000
Training Epoch: 20 [19968/47500]	Loss: 0.5769	LR: 0.020000
Training Epoch: 20 [20224/47500]	Loss: 0.6176	LR: 0.020000
Training Epoch: 20 [20480/47500]	Loss: 0.6830	LR: 0.020000
Training Epoch: 20 [20736/47500]	Loss: 0.7026	LR: 0.020000
Training Epoch: 20 [20992/47500]	Loss: 0.5507	LR: 0.020000
Training Epoch: 20 [21248/47500]	Loss: 0.6297	LR: 0.020000
Training Epoch: 20 [21504/47500]	Loss: 0.5645	LR: 0.020000
Training Epoch: 20 [21760/47500]	Loss: 0.5658	LR: 0.020000
Training Epoch: 20 [22016/47500]	Loss: 0.5470	LR: 0.020000
Training Epoch: 20 [22272/47500]	Loss: 0.6161	LR: 0.020000
Training Epoch: 20 [22528/47500]	Loss: 0.5958	LR: 0.020000
Training Epoch: 20 [22784/47500]	Loss: 0.5083	LR: 0.020000
Training Epoch: 20 [23040/47500]	Loss: 0.6651	LR: 0.020000
Training Epoch: 20 [23296/47500]	Loss: 0.6032	LR: 0.020000
Training Epoch: 20 [23552/47500]	Loss: 0.5650	LR: 0.020000
Training Epoch: 20 [23808/47500]	Loss: 0.6466	LR: 0.020000
Training Epoch: 20 [24064/47500]	Loss: 0.6376	LR: 0.020000
Training Epoch: 20 [24320/47500]	Loss: 0.5219	LR: 0.020000
Training Epoch: 20 [24576/47500]	Loss: 0.6445	LR: 0.020000
Training Epoch: 20 [24832/47500]	Loss: 0.6081	LR: 0.020000
Training Epoch: 20 [25088/47500]	Loss: 0.5453	LR: 0.020000
Training Epoch: 20 [25344/47500]	Loss: 0.6161	LR: 0.020000
Training Epoch: 20 [25600/47500]	Loss: 0.6293	LR: 0.020000
Training Epoch: 20 [25856/47500]	Loss: 0.6349	LR: 0.020000
Training Epoch: 20 [26112/47500]	Loss: 0.6996	LR: 0.020000
Training Epoch: 20 [26368/47500]	Loss: 0.5489	LR: 0.020000
Training Epoch: 20 [26624/47500]	Loss: 0.6232	LR: 0.020000
Training Epoch: 20 [26880/47500]	Loss: 0.6310	LR: 0.020000
Training Epoch: 20 [27136/47500]	Loss: 0.6124	LR: 0.020000
Training Epoch: 20 [27392/47500]	Loss: 0.6536	LR: 0.020000
Training Epoch: 20 [27648/47500]	Loss: 0.6514	LR: 0.020000
Training Epoch: 20 [27904/47500]	Loss: 0.7853	LR: 0.020000
Training Epoch: 20 [28160/47500]	Loss: 0.5488	LR: 0.020000
Training Epoch: 20 [28416/47500]	Loss: 0.5904	LR: 0.020000
Training Epoch: 20 [28672/47500]	Loss: 0.7473	LR: 0.020000
Training Epoch: 20 [28928/47500]	Loss: 0.6730	LR: 0.020000
Training Epoch: 20 [29184/47500]	Loss: 0.5795	LR: 0.020000
Training Epoch: 20 [29440/47500]	Loss: 0.6439	LR: 0.020000
Training Epoch: 20 [29696/47500]	Loss: 0.5762	LR: 0.020000
Training Epoch: 20 [29952/47500]	Loss: 0.6781	LR: 0.020000
Training Epoch: 20 [30208/47500]	Loss: 0.6209	LR: 0.020000
Training Epoch: 20 [30464/47500]	Loss: 0.5673	LR: 0.020000
Training Epoch: 20 [30720/47500]	Loss: 0.5795	LR: 0.020000
Training Epoch: 20 [30976/47500]	Loss: 0.6047	LR: 0.020000
Training Epoch: 20 [31232/47500]	Loss: 0.6350	LR: 0.020000
Training Epoch: 20 [31488/47500]	Loss: 0.5336	LR: 0.020000
Training Epoch: 20 [31744/47500]	Loss: 0.5809	LR: 0.020000
Training Epoch: 20 [32000/47500]	Loss: 0.6765	LR: 0.020000
Training Epoch: 20 [32256/47500]	Loss: 0.5527	LR: 0.020000
Training Epoch: 20 [32512/47500]	Loss: 0.6635	LR: 0.020000
Training Epoch: 20 [32768/47500]	Loss: 0.7445	LR: 0.020000
Training Epoch: 20 [33024/47500]	Loss: 0.7879	LR: 0.020000
Training Epoch: 20 [33280/47500]	Loss: 0.6341	LR: 0.020000
Training Epoch: 20 [33536/47500]	Loss: 0.5546	LR: 0.020000
Training Epoch: 20 [33792/47500]	Loss: 0.5998	LR: 0.020000
Training Epoch: 20 [34048/47500]	Loss: 0.5539	LR: 0.020000
Training Epoch: 20 [34304/47500]	Loss: 0.5890	LR: 0.020000
Training Epoch: 20 [34560/47500]	Loss: 0.6319	LR: 0.020000
Training Epoch: 20 [34816/47500]	Loss: 0.5196	LR: 0.020000
Training Epoch: 20 [35072/47500]	Loss: 0.6399	LR: 0.020000
Training Epoch: 20 [35328/47500]	Loss: 0.5259	LR: 0.020000
Training Epoch: 20 [35584/47500]	Loss: 0.6981	LR: 0.020000
Training Epoch: 20 [35840/47500]	Loss: 0.5629	LR: 0.020000
Training Epoch: 20 [36096/47500]	Loss: 0.6365	LR: 0.020000
Training Epoch: 20 [36352/47500]	Loss: 0.5733	LR: 0.020000
Training Epoch: 20 [36608/47500]	Loss: 0.6389	LR: 0.020000
Training Epoch: 20 [36864/47500]	Loss: 0.6375	LR: 0.020000
Training Epoch: 20 [37120/47500]	Loss: 0.6194	LR: 0.020000
Training Epoch: 20 [37376/47500]	Loss: 0.6597	LR: 0.020000
Training Epoch: 20 [37632/47500]	Loss: 0.5785	LR: 0.020000
Training Epoch: 20 [37888/47500]	Loss: 0.5705	LR: 0.020000
Training Epoch: 20 [38144/47500]	Loss: 0.6764	LR: 0.020000
Training Epoch: 20 [38400/47500]	Loss: 0.8113	LR: 0.020000
Training Epoch: 20 [38656/47500]	Loss: 0.6029	LR: 0.020000
Training Epoch: 20 [38912/47500]	Loss: 0.6653	LR: 0.020000
Training Epoch: 20 [39168/47500]	Loss: 0.5122	LR: 0.020000
Training Epoch: 20 [39424/47500]	Loss: 0.6554	LR: 0.020000
Training Epoch: 20 [39680/47500]	Loss: 0.7774	LR: 0.020000
Training Epoch: 20 [39936/47500]	Loss: 0.6003	LR: 0.020000
Training Epoch: 20 [40192/47500]	Loss: 0.6225	LR: 0.020000
Training Epoch: 20 [40448/47500]	Loss: 0.6525	LR: 0.020000
Training Epoch: 20 [40704/47500]	Loss: 0.5867	LR: 0.020000
Training Epoch: 20 [40960/47500]	Loss: 0.4970	LR: 0.020000
Training Epoch: 20 [41216/47500]	Loss: 0.6716	LR: 0.020000
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Training Epoch: 20 [41728/47500]	Loss: 0.5193	LR: 0.020000
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Training Epoch: 20 [42496/47500]	Loss: 0.8191	LR: 0.020000
Training Epoch: 20 [42752/47500]	Loss: 0.6035	LR: 0.020000
Training Epoch: 20 [43008/47500]	Loss: 0.6360	LR: 0.020000
Training Epoch: 20 [43264/47500]	Loss: 0.6211	LR: 0.020000
Training Epoch: 20 [43520/47500]	Loss: 0.6369	LR: 0.020000
Training Epoch: 20 [43776/47500]	Loss: 0.6167	LR: 0.020000
Training Epoch: 20 [44032/47500]	Loss: 0.5427	LR: 0.020000
Training Epoch: 20 [44288/47500]	Loss: 0.5989	LR: 0.020000
Training Epoch: 20 [44544/47500]	Loss: 0.6090	LR: 0.020000
Training Epoch: 20 [44800/47500]	Loss: 0.6053	LR: 0.020000
Training Epoch: 20 [45056/47500]	Loss: 0.5699	LR: 0.020000
Training Epoch: 20 [45312/47500]	Loss: 0.5934	LR: 0.020000
Training Epoch: 20 [45568/47500]	Loss: 0.5649	LR: 0.020000
Training Epoch: 20 [45824/47500]	Loss: 0.5012	LR: 0.020000
Training Epoch: 20 [46080/47500]	Loss: 0.6155	LR: 0.020000
Training Epoch: 20 [46336/47500]	Loss: 0.6197	LR: 0.020000
Training Epoch: 20 [46592/47500]	Loss: 0.8026	LR: 0.020000
Training Epoch: 20 [46848/47500]	Loss: 0.7145	LR: 0.020000
Training Epoch: 20 [47104/47500]	Loss: 0.5248	LR: 0.020000
Training Epoch: 20 [47360/47500]	Loss: 0.5783	LR: 0.020000
Training Epoch: 20 [47500/47500]	Loss: 0.6985	LR: 0.020000
Epoch 20 - Average Train Loss: 0.6104, Train Accuracy: 0.8036
Epoch 20 training time consumed: 26.07s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0035, Accuracy: 0.7335, Time consumed:0.89s
Training Epoch: 21 [256/47500]	Loss: 0.5572	LR: 0.020000
Training Epoch: 21 [512/47500]	Loss: 0.6324	LR: 0.020000
Training Epoch: 21 [768/47500]	Loss: 0.5159	LR: 0.020000
Training Epoch: 21 [1024/47500]	Loss: 0.5558	LR: 0.020000
Training Epoch: 21 [1280/47500]	Loss: 0.4883	LR: 0.020000
Training Epoch: 21 [1536/47500]	Loss: 0.5607	LR: 0.020000
Training Epoch: 21 [1792/47500]	Loss: 0.5295	LR: 0.020000
Training Epoch: 21 [2048/47500]	Loss: 0.5223	LR: 0.020000
Training Epoch: 21 [2304/47500]	Loss: 0.4966	LR: 0.020000
Training Epoch: 21 [2560/47500]	Loss: 0.5670	LR: 0.020000
Training Epoch: 21 [2816/47500]	Loss: 0.5511	LR: 0.020000
Training Epoch: 21 [3072/47500]	Loss: 0.6073	LR: 0.020000
Training Epoch: 21 [3328/47500]	Loss: 0.5297	LR: 0.020000
Training Epoch: 21 [3584/47500]	Loss: 0.5393	LR: 0.020000
Training Epoch: 21 [3840/47500]	Loss: 0.6317	LR: 0.020000
Training Epoch: 21 [4096/47500]	Loss: 0.4886	LR: 0.020000
Training Epoch: 21 [4352/47500]	Loss: 0.6432	LR: 0.020000
Training Epoch: 21 [4608/47500]	Loss: 0.5474	LR: 0.020000
Training Epoch: 21 [4864/47500]	Loss: 0.6287	LR: 0.020000
Training Epoch: 21 [5120/47500]	Loss: 0.5221	LR: 0.020000
Training Epoch: 21 [5376/47500]	Loss: 0.5810	LR: 0.020000
Training Epoch: 21 [5632/47500]	Loss: 0.5436	LR: 0.020000
Training Epoch: 21 [5888/47500]	Loss: 0.6017	LR: 0.020000
Training Epoch: 21 [6144/47500]	Loss: 0.5757	LR: 0.020000
Training Epoch: 21 [6400/47500]	Loss: 0.5863	LR: 0.020000
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Training Epoch: 21 [7168/47500]	Loss: 0.5650	LR: 0.020000
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Training Epoch: 21 [7680/47500]	Loss: 0.5822	LR: 0.020000
Training Epoch: 21 [7936/47500]	Loss: 0.6071	LR: 0.020000
Training Epoch: 21 [8192/47500]	Loss: 0.6340	LR: 0.020000
Training Epoch: 21 [8448/47500]	Loss: 0.5369	LR: 0.020000
Training Epoch: 21 [8704/47500]	Loss: 0.6137	LR: 0.020000
Training Epoch: 21 [8960/47500]	Loss: 0.5552	LR: 0.020000
Training Epoch: 21 [9216/47500]	Loss: 0.5713	LR: 0.020000
Training Epoch: 21 [9472/47500]	Loss: 0.6880	LR: 0.020000
Training Epoch: 21 [9728/47500]	Loss: 0.6720	LR: 0.020000
Training Epoch: 21 [9984/47500]	Loss: 0.5012	LR: 0.020000
Training Epoch: 21 [10240/47500]	Loss: 0.6556	LR: 0.020000
Training Epoch: 21 [10496/47500]	Loss: 0.6176	LR: 0.020000
Training Epoch: 21 [10752/47500]	Loss: 0.6398	LR: 0.020000
Training Epoch: 21 [11008/47500]	Loss: 0.6321	LR: 0.020000
Training Epoch: 21 [11264/47500]	Loss: 0.6188	LR: 0.020000
Training Epoch: 21 [11520/47500]	Loss: 0.5215	LR: 0.020000
Training Epoch: 21 [11776/47500]	Loss: 0.5970	LR: 0.020000
Training Epoch: 21 [12032/47500]	Loss: 0.5954	LR: 0.020000
Training Epoch: 21 [12288/47500]	Loss: 0.5775	LR: 0.020000
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Training Epoch: 21 [13568/47500]	Loss: 0.6730	LR: 0.020000
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Training Epoch: 21 [15872/47500]	Loss: 0.5472	LR: 0.020000
Training Epoch: 21 [16128/47500]	Loss: 0.6318	LR: 0.020000
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Training Epoch: 21 [16640/47500]	Loss: 0.7289	LR: 0.020000
Training Epoch: 21 [16896/47500]	Loss: 0.6642	LR: 0.020000
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Training Epoch: 21 [18176/47500]	Loss: 0.4768	LR: 0.020000
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Training Epoch: 21 [18944/47500]	Loss: 0.6877	LR: 0.020000
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Training Epoch: 21 [23040/47500]	Loss: 0.6324	LR: 0.020000
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Training Epoch: 21 [40192/47500]	Loss: 0.6739	LR: 0.020000
Training Epoch: 21 [40448/47500]	Loss: 0.6575	LR: 0.020000
Training Epoch: 21 [40704/47500]	Loss: 0.6240	LR: 0.020000
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Training Epoch: 21 [41216/47500]	Loss: 0.5115	LR: 0.020000
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Training Epoch: 21 [41728/47500]	Loss: 0.5765	LR: 0.020000
Training Epoch: 21 [41984/47500]	Loss: 0.6024	LR: 0.020000
Training Epoch: 21 [42240/47500]	Loss: 0.4671	LR: 0.020000
Training Epoch: 21 [42496/47500]	Loss: 0.5729	LR: 0.020000
Training Epoch: 21 [42752/47500]	Loss: 0.5379	LR: 0.020000
Training Epoch: 21 [43008/47500]	Loss: 0.4694	LR: 0.020000
Training Epoch: 21 [43264/47500]	Loss: 0.7391	LR: 0.020000
Training Epoch: 21 [43520/47500]	Loss: 0.5516	LR: 0.020000
Training Epoch: 21 [43776/47500]	Loss: 0.5711	LR: 0.020000
Training Epoch: 21 [44032/47500]	Loss: 0.6704	LR: 0.020000
Training Epoch: 21 [44288/47500]	Loss: 0.6117	LR: 0.020000
Training Epoch: 21 [44544/47500]	Loss: 0.5761	LR: 0.020000
Training Epoch: 21 [44800/47500]	Loss: 0.5876	LR: 0.020000
Training Epoch: 21 [45056/47500]	Loss: 0.6972	LR: 0.020000
Training Epoch: 21 [45312/47500]	Loss: 0.6368	LR: 0.020000
Training Epoch: 21 [45568/47500]	Loss: 0.5257	LR: 0.020000
Training Epoch: 21 [45824/47500]	Loss: 0.6180	LR: 0.020000
Training Epoch: 21 [46080/47500]	Loss: 0.5648	LR: 0.020000
Training Epoch: 21 [46336/47500]	Loss: 0.6115	LR: 0.020000
Training Epoch: 21 [46592/47500]	Loss: 0.6080	LR: 0.020000
Training Epoch: 21 [46848/47500]	Loss: 0.5085	LR: 0.020000
Training Epoch: 21 [47104/47500]	Loss: 0.5825	LR: 0.020000
Training Epoch: 21 [47360/47500]	Loss: 0.6249	LR: 0.020000
Training Epoch: 21 [47500/47500]	Loss: 0.6587	LR: 0.020000
Epoch 21 - Average Train Loss: 0.5916, Train Accuracy: 0.8077
Epoch 21 training time consumed: 25.89s
Evaluating Network.....
Test set: Epoch: 21, Average loss: 0.0034, Accuracy: 0.7438, Time consumed:0.88s
Training Epoch: 22 [256/47500]	Loss: 0.6081	LR: 0.020000
Training Epoch: 22 [512/47500]	Loss: 0.6271	LR: 0.020000
Training Epoch: 22 [768/47500]	Loss: 0.5206	LR: 0.020000
Training Epoch: 22 [1024/47500]	Loss: 0.5424	LR: 0.020000
Training Epoch: 22 [1280/47500]	Loss: 0.5601	LR: 0.020000
Training Epoch: 22 [1536/47500]	Loss: 0.5609	LR: 0.020000
Training Epoch: 22 [1792/47500]	Loss: 0.4983	LR: 0.020000
Training Epoch: 22 [2048/47500]	Loss: 0.5946	LR: 0.020000
Training Epoch: 22 [2304/47500]	Loss: 0.5638	LR: 0.020000
Training Epoch: 22 [2560/47500]	Loss: 0.4754	LR: 0.020000
Training Epoch: 22 [2816/47500]	Loss: 0.5469	LR: 0.020000
Training Epoch: 22 [3072/47500]	Loss: 0.5632	LR: 0.020000
Training Epoch: 22 [3328/47500]	Loss: 0.5302	LR: 0.020000
Training Epoch: 22 [3584/47500]	Loss: 0.6021	LR: 0.020000
Training Epoch: 22 [3840/47500]	Loss: 0.5695	LR: 0.020000
Training Epoch: 22 [4096/47500]	Loss: 0.5191	LR: 0.020000
Training Epoch: 22 [4352/47500]	Loss: 0.5336	LR: 0.020000
Training Epoch: 22 [4608/47500]	Loss: 0.5868	LR: 0.020000
Training Epoch: 22 [4864/47500]	Loss: 0.4676	LR: 0.020000
Training Epoch: 22 [5120/47500]	Loss: 0.5505	LR: 0.020000
Training Epoch: 22 [5376/47500]	Loss: 0.5856	LR: 0.020000
Training Epoch: 22 [5632/47500]	Loss: 0.6091	LR: 0.020000
Training Epoch: 22 [5888/47500]	Loss: 0.5706	LR: 0.020000
Training Epoch: 22 [6144/47500]	Loss: 0.6510	LR: 0.020000
Training Epoch: 22 [6400/47500]	Loss: 0.5379	LR: 0.020000
Training Epoch: 22 [6656/47500]	Loss: 0.6321	LR: 0.020000
Training Epoch: 22 [6912/47500]	Loss: 0.6732	LR: 0.020000
Training Epoch: 22 [7168/47500]	Loss: 0.5428	LR: 0.020000
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Training Epoch: 22 [7680/47500]	Loss: 0.6207	LR: 0.020000
Training Epoch: 22 [7936/47500]	Loss: 0.5085	LR: 0.020000
Training Epoch: 22 [8192/47500]	Loss: 0.5626	LR: 0.020000
Training Epoch: 22 [8448/47500]	Loss: 0.5655	LR: 0.020000
Training Epoch: 22 [8704/47500]	Loss: 0.5280	LR: 0.020000
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Training Epoch: 22 [10496/47500]	Loss: 0.5511	LR: 0.020000
Training Epoch: 22 [10752/47500]	Loss: 0.4542	LR: 0.020000
Training Epoch: 22 [11008/47500]	Loss: 0.5788	LR: 0.020000
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Training Epoch: 22 [12032/47500]	Loss: 0.5608	LR: 0.020000
Training Epoch: 22 [12288/47500]	Loss: 0.6989	LR: 0.020000
Training Epoch: 22 [12544/47500]	Loss: 0.5153	LR: 0.020000
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Training Epoch: 22 [13056/47500]	Loss: 0.5389	LR: 0.020000
Training Epoch: 22 [13312/47500]	Loss: 0.4735	LR: 0.020000
Training Epoch: 22 [13568/47500]	Loss: 0.6096	LR: 0.020000
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Training Epoch: 22 [14080/47500]	Loss: 0.6484	LR: 0.020000
Training Epoch: 22 [14336/47500]	Loss: 0.5873	LR: 0.020000
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Training Epoch: 22 [14848/47500]	Loss: 0.5710	LR: 0.020000
Training Epoch: 22 [15104/47500]	Loss: 0.5423	LR: 0.020000
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Training Epoch: 22 [15616/47500]	Loss: 0.5291	LR: 0.020000
Training Epoch: 22 [15872/47500]	Loss: 0.5074	LR: 0.020000
Training Epoch: 22 [16128/47500]	Loss: 0.5591	LR: 0.020000
Training Epoch: 22 [16384/47500]	Loss: 0.5367	LR: 0.020000
Training Epoch: 22 [16640/47500]	Loss: 0.5042	LR: 0.020000
Training Epoch: 22 [16896/47500]	Loss: 0.6093	LR: 0.020000
Training Epoch: 22 [17152/47500]	Loss: 0.5705	LR: 0.020000
Training Epoch: 22 [17408/47500]	Loss: 0.5773	LR: 0.020000
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Training Epoch: 22 [18176/47500]	Loss: 0.4569	LR: 0.020000
Training Epoch: 22 [18432/47500]	Loss: 0.6287	LR: 0.020000
Training Epoch: 22 [18688/47500]	Loss: 0.4715	LR: 0.020000
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Training Epoch: 22 [20224/47500]	Loss: 0.6144	LR: 0.020000
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Training Epoch: 22 [20736/47500]	Loss: 0.5672	LR: 0.020000
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Training Epoch: 22 [21248/47500]	Loss: 0.6118	LR: 0.020000
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Training Epoch: 22 [22016/47500]	Loss: 0.5486	LR: 0.020000
Training Epoch: 22 [22272/47500]	Loss: 0.5336	LR: 0.020000
Training Epoch: 22 [22528/47500]	Loss: 0.6777	LR: 0.020000
Training Epoch: 22 [22784/47500]	Loss: 0.6142	LR: 0.020000
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Training Epoch: 22 [29440/47500]	Loss: 0.5030	LR: 0.020000
Training Epoch: 22 [29696/47500]	Loss: 0.5882	LR: 0.020000
Training Epoch: 22 [29952/47500]	Loss: 0.5255	LR: 0.020000
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Training Epoch: 22 [30464/47500]	Loss: 0.5941	LR: 0.020000
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Training Epoch: 22 [30976/47500]	Loss: 0.5686	LR: 0.020000
Training Epoch: 22 [31232/47500]	Loss: 0.6356	LR: 0.020000
Training Epoch: 22 [31488/47500]	Loss: 0.6209	LR: 0.020000
Training Epoch: 22 [31744/47500]	Loss: 0.4639	LR: 0.020000
Training Epoch: 22 [32000/47500]	Loss: 0.5792	LR: 0.020000
Training Epoch: 22 [32256/47500]	Loss: 0.6308	LR: 0.020000
Training Epoch: 22 [32512/47500]	Loss: 0.4902	LR: 0.020000
Training Epoch: 22 [32768/47500]	Loss: 0.7119	LR: 0.020000
Training Epoch: 22 [33024/47500]	Loss: 0.6343	LR: 0.020000
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Training Epoch: 22 [35072/47500]	Loss: 0.6202	LR: 0.020000
Training Epoch: 22 [35328/47500]	Loss: 0.5581	LR: 0.020000
Training Epoch: 22 [35584/47500]	Loss: 0.5829	LR: 0.020000
Training Epoch: 22 [35840/47500]	Loss: 0.6373	LR: 0.020000
Training Epoch: 22 [36096/47500]	Loss: 0.6291	LR: 0.020000
Training Epoch: 22 [36352/47500]	Loss: 0.6039	LR: 0.020000
Training Epoch: 22 [36608/47500]	Loss: 0.5666	LR: 0.020000
Training Epoch: 22 [36864/47500]	Loss: 0.5665	LR: 0.020000
Training Epoch: 22 [37120/47500]	Loss: 0.6413	LR: 0.020000
Training Epoch: 22 [37376/47500]	Loss: 0.5422	LR: 0.020000
Training Epoch: 22 [37632/47500]	Loss: 0.5707	LR: 0.020000
Training Epoch: 22 [37888/47500]	Loss: 0.5503	LR: 0.020000
Training Epoch: 22 [38144/47500]	Loss: 0.6855	LR: 0.020000
Training Epoch: 22 [38400/47500]	Loss: 0.6256	LR: 0.020000
Training Epoch: 22 [38656/47500]	Loss: 0.6127	LR: 0.020000
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Training Epoch: 22 [40192/47500]	Loss: 0.5849	LR: 0.020000
Training Epoch: 22 [40448/47500]	Loss: 0.6142	LR: 0.020000
Training Epoch: 22 [40704/47500]	Loss: 0.5983	LR: 0.020000
Training Epoch: 22 [40960/47500]	Loss: 0.6189	LR: 0.020000
Training Epoch: 22 [41216/47500]	Loss: 0.6529	LR: 0.020000
Training Epoch: 22 [41472/47500]	Loss: 0.5009	LR: 0.020000
Training Epoch: 22 [41728/47500]	Loss: 0.5260	LR: 0.020000
Training Epoch: 22 [41984/47500]	Loss: 0.4816	LR: 0.020000
Training Epoch: 22 [42240/47500]	Loss: 0.5457	LR: 0.020000
Training Epoch: 22 [42496/47500]	Loss: 0.5996	LR: 0.020000
Training Epoch: 22 [42752/47500]	Loss: 0.6062	LR: 0.020000
Training Epoch: 22 [43008/47500]	Loss: 0.5807	LR: 0.020000
Training Epoch: 22 [43264/47500]	Loss: 0.5720	LR: 0.020000
Training Epoch: 22 [43520/47500]	Loss: 0.6273	LR: 0.020000
Training Epoch: 22 [43776/47500]	Loss: 0.6209	LR: 0.020000
Training Epoch: 22 [44032/47500]	Loss: 0.5393	LR: 0.020000
Training Epoch: 22 [44288/47500]	Loss: 0.5818	LR: 0.020000
Training Epoch: 22 [44544/47500]	Loss: 0.6878	LR: 0.020000
Training Epoch: 22 [44800/47500]	Loss: 0.5771	LR: 0.020000
Training Epoch: 22 [45056/47500]	Loss: 0.5576	LR: 0.020000
Training Epoch: 22 [45312/47500]	Loss: 0.5962	LR: 0.020000
Training Epoch: 22 [45568/47500]	Loss: 0.6839	LR: 0.020000
Training Epoch: 22 [45824/47500]	Loss: 0.4983	LR: 0.020000
Training Epoch: 22 [46080/47500]	Loss: 0.5867	LR: 0.020000
Training Epoch: 22 [46336/47500]	Loss: 0.6393	LR: 0.020000
Training Epoch: 22 [46592/47500]	Loss: 0.6907	LR: 0.020000
Training Epoch: 22 [46848/47500]	Loss: 0.5955	LR: 0.020000
Training Epoch: 22 [47104/47500]	Loss: 0.5329	LR: 0.020000
Training Epoch: 22 [47360/47500]	Loss: 0.5385	LR: 0.020000
Training Epoch: 22 [47500/47500]	Loss: 0.4252	LR: 0.020000
Epoch 22 - Average Train Loss: 0.5772, Train Accuracy: 0.8140
Epoch 22 training time consumed: 26.15s
Evaluating Network.....
Test set: Epoch: 22, Average loss: 0.0034, Accuracy: 0.7421, Time consumed:0.90s
Training Epoch: 23 [256/47500]	Loss: 0.5039	LR: 0.020000
Training Epoch: 23 [512/47500]	Loss: 0.5002	LR: 0.020000
Training Epoch: 23 [768/47500]	Loss: 0.5289	LR: 0.020000
Training Epoch: 23 [1024/47500]	Loss: 0.5604	LR: 0.020000
Training Epoch: 23 [1280/47500]	Loss: 0.5140	LR: 0.020000
Training Epoch: 23 [1536/47500]	Loss: 0.6174	LR: 0.020000
Training Epoch: 23 [1792/47500]	Loss: 0.5379	LR: 0.020000
Training Epoch: 23 [2048/47500]	Loss: 0.4849	LR: 0.020000
Training Epoch: 23 [2304/47500]	Loss: 0.4981	LR: 0.020000
Training Epoch: 23 [2560/47500]	Loss: 0.4828	LR: 0.020000
Training Epoch: 23 [2816/47500]	Loss: 0.5639	LR: 0.020000
Training Epoch: 23 [3072/47500]	Loss: 0.5487	LR: 0.020000
Training Epoch: 23 [3328/47500]	Loss: 0.5478	LR: 0.020000
Training Epoch: 23 [3584/47500]	Loss: 0.5241	LR: 0.020000
Training Epoch: 23 [3840/47500]	Loss: 0.4750	LR: 0.020000
Training Epoch: 23 [4096/47500]	Loss: 0.5550	LR: 0.020000
Training Epoch: 23 [4352/47500]	Loss: 0.4799	LR: 0.020000
Training Epoch: 23 [4608/47500]	Loss: 0.5827	LR: 0.020000
Training Epoch: 23 [4864/47500]	Loss: 0.5406	LR: 0.020000
Training Epoch: 23 [5120/47500]	Loss: 0.5158	LR: 0.020000
Training Epoch: 23 [5376/47500]	Loss: 0.4914	LR: 0.020000
Training Epoch: 23 [5632/47500]	Loss: 0.5364	LR: 0.020000
Training Epoch: 23 [5888/47500]	Loss: 0.4842	LR: 0.020000
Training Epoch: 23 [6144/47500]	Loss: 0.5043	LR: 0.020000
Training Epoch: 23 [6400/47500]	Loss: 0.5314	LR: 0.020000
Training Epoch: 23 [6656/47500]	Loss: 0.6224	LR: 0.020000
Training Epoch: 23 [6912/47500]	Loss: 0.5968	LR: 0.020000
Training Epoch: 23 [7168/47500]	Loss: 0.5218	LR: 0.020000
Training Epoch: 23 [7424/47500]	Loss: 0.4348	LR: 0.020000
Training Epoch: 23 [7680/47500]	Loss: 0.6529	LR: 0.020000
Training Epoch: 23 [7936/47500]	Loss: 0.6060	LR: 0.020000
Training Epoch: 23 [8192/47500]	Loss: 0.5885	LR: 0.020000
Training Epoch: 23 [8448/47500]	Loss: 0.5866	LR: 0.020000
Training Epoch: 23 [8704/47500]	Loss: 0.5519	LR: 0.020000
Training Epoch: 23 [8960/47500]	Loss: 0.5851	LR: 0.020000
Training Epoch: 23 [9216/47500]	Loss: 0.5502	LR: 0.020000
Training Epoch: 23 [9472/47500]	Loss: 0.5489	LR: 0.020000
Training Epoch: 23 [9728/47500]	Loss: 0.4710	LR: 0.020000
Training Epoch: 23 [9984/47500]	Loss: 0.6651	LR: 0.020000
Training Epoch: 23 [10240/47500]	Loss: 0.4964	LR: 0.020000
Training Epoch: 23 [10496/47500]	Loss: 0.6205	LR: 0.020000
Training Epoch: 23 [10752/47500]	Loss: 0.4230	LR: 0.020000
Training Epoch: 23 [11008/47500]	Loss: 0.5798	LR: 0.020000
Training Epoch: 23 [11264/47500]	Loss: 0.4749	LR: 0.020000
Training Epoch: 23 [11520/47500]	Loss: 0.4701	LR: 0.020000
Training Epoch: 23 [11776/47500]	Loss: 0.4440	LR: 0.020000
Training Epoch: 23 [12032/47500]	Loss: 0.5107	LR: 0.020000
Training Epoch: 23 [12288/47500]	Loss: 0.4884	LR: 0.020000
Training Epoch: 23 [12544/47500]	Loss: 0.6228	LR: 0.020000
Training Epoch: 23 [12800/47500]	Loss: 0.5379	LR: 0.020000
Training Epoch: 23 [13056/47500]	Loss: 0.5263	LR: 0.020000
Training Epoch: 23 [13312/47500]	Loss: 0.5636	LR: 0.020000
Training Epoch: 23 [13568/47500]	Loss: 0.5403	LR: 0.020000
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Training Epoch: 23 [15616/47500]	Loss: 0.4743	LR: 0.020000
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Training Epoch: 23 [16384/47500]	Loss: 0.5828	LR: 0.020000
Training Epoch: 23 [16640/47500]	Loss: 0.5096	LR: 0.020000
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Training Epoch: 23 [18176/47500]	Loss: 0.5186	LR: 0.020000
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Training Epoch: 23 [18688/47500]	Loss: 0.6244	LR: 0.020000
Training Epoch: 23 [18944/47500]	Loss: 0.6100	LR: 0.020000
Training Epoch: 23 [19200/47500]	Loss: 0.5125	LR: 0.020000
Training Epoch: 23 [19456/47500]	Loss: 0.5554	LR: 0.020000
Training Epoch: 23 [19712/47500]	Loss: 0.5873	LR: 0.020000
Training Epoch: 23 [19968/47500]	Loss: 0.6353	LR: 0.020000
Training Epoch: 23 [20224/47500]	Loss: 0.5502	LR: 0.020000
Training Epoch: 23 [20480/47500]	Loss: 0.5064	LR: 0.020000
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Training Epoch: 23 [21248/47500]	Loss: 0.5807	LR: 0.020000
Training Epoch: 23 [21504/47500]	Loss: 0.6850	LR: 0.020000
Training Epoch: 23 [21760/47500]	Loss: 0.5392	LR: 0.020000
Training Epoch: 23 [22016/47500]	Loss: 0.5669	LR: 0.020000
Training Epoch: 23 [22272/47500]	Loss: 0.6526	LR: 0.020000
Training Epoch: 23 [22528/47500]	Loss: 0.6083	LR: 0.020000
Training Epoch: 23 [22784/47500]	Loss: 0.4479	LR: 0.020000
Training Epoch: 23 [23040/47500]	Loss: 0.5865	LR: 0.020000
Training Epoch: 23 [23296/47500]	Loss: 0.5925	LR: 0.020000
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Training Epoch: 23 [23808/47500]	Loss: 0.5202	LR: 0.020000
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Training Epoch: 23 [24320/47500]	Loss: 0.6627	LR: 0.020000
Training Epoch: 23 [24576/47500]	Loss: 0.5517	LR: 0.020000
Training Epoch: 23 [24832/47500]	Loss: 0.5997	LR: 0.020000
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Training Epoch: 23 [25856/47500]	Loss: 0.5754	LR: 0.020000
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Training Epoch: 23 [26368/47500]	Loss: 0.6343	LR: 0.020000
Training Epoch: 23 [26624/47500]	Loss: 0.5256	LR: 0.020000
Training Epoch: 23 [26880/47500]	Loss: 0.4356	LR: 0.020000
Training Epoch: 23 [27136/47500]	Loss: 0.5732	LR: 0.020000
Training Epoch: 23 [27392/47500]	Loss: 0.6078	LR: 0.020000
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Training Epoch: 23 [27904/47500]	Loss: 0.5784	LR: 0.020000
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Training Epoch: 23 [28416/47500]	Loss: 0.6217	LR: 0.020000
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Training Epoch: 23 [28928/47500]	Loss: 0.6084	LR: 0.020000
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Training Epoch: 23 [29696/47500]	Loss: 0.5993	LR: 0.020000
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Training Epoch: 23 [35328/47500]	Loss: 0.5862	LR: 0.020000
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Training Epoch: 23 [36864/47500]	Loss: 0.6088	LR: 0.020000
Training Epoch: 23 [37120/47500]	Loss: 0.5997	LR: 0.020000
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Training Epoch: 23 [37888/47500]	Loss: 0.5289	LR: 0.020000
Training Epoch: 23 [38144/47500]	Loss: 0.5934	LR: 0.020000
Training Epoch: 23 [38400/47500]	Loss: 0.5350	LR: 0.020000
Training Epoch: 23 [38656/47500]	Loss: 0.6523	LR: 0.020000
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Training Epoch: 23 [39168/47500]	Loss: 0.5999	LR: 0.020000
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Training Epoch: 23 [40192/47500]	Loss: 0.5311	LR: 0.020000
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Training Epoch: 23 [44544/47500]	Loss: 0.6762	LR: 0.020000
Training Epoch: 23 [44800/47500]	Loss: 0.7270	LR: 0.020000
Training Epoch: 23 [45056/47500]	Loss: 0.5942	LR: 0.020000
Training Epoch: 23 [45312/47500]	Loss: 0.5643	LR: 0.020000
Training Epoch: 23 [45568/47500]	Loss: 0.5769	LR: 0.020000
Training Epoch: 23 [45824/47500]	Loss: 0.5799	LR: 0.020000
Training Epoch: 23 [46080/47500]	Loss: 0.5116	LR: 0.020000
Training Epoch: 23 [46336/47500]	Loss: 0.6759	LR: 0.020000
Training Epoch: 23 [46592/47500]	Loss: 0.5973	LR: 0.020000
Training Epoch: 23 [46848/47500]	Loss: 0.5264	LR: 0.020000
Training Epoch: 23 [47104/47500]	Loss: 0.6471	LR: 0.020000
Training Epoch: 23 [47360/47500]	Loss: 0.6078	LR: 0.020000
Training Epoch: 23 [47500/47500]	Loss: 0.8148	LR: 0.020000
Epoch 23 - Average Train Loss: 0.5628, Train Accuracy: 0.8177
Epoch 23 training time consumed: 26.20s
Evaluating Network.....
Test set: Epoch: 23, Average loss: 0.0035, Accuracy: 0.7390, Time consumed:0.88s
Training Epoch: 24 [256/47500]	Loss: 0.5317	LR: 0.020000
Training Epoch: 24 [512/47500]	Loss: 0.4863	LR: 0.020000
Training Epoch: 24 [768/47500]	Loss: 0.4897	LR: 0.020000
Training Epoch: 24 [1024/47500]	Loss: 0.5181	LR: 0.020000
Training Epoch: 24 [1280/47500]	Loss: 0.4319	LR: 0.020000
Training Epoch: 24 [1536/47500]	Loss: 0.4844	LR: 0.020000
Training Epoch: 24 [1792/47500]	Loss: 0.4933	LR: 0.020000
Training Epoch: 24 [2048/47500]	Loss: 0.5652	LR: 0.020000
Training Epoch: 24 [2304/47500]	Loss: 0.5901	LR: 0.020000
Training Epoch: 24 [2560/47500]	Loss: 0.5757	LR: 0.020000
Training Epoch: 24 [2816/47500]	Loss: 0.4783	LR: 0.020000
Training Epoch: 24 [3072/47500]	Loss: 0.6396	LR: 0.020000
Training Epoch: 24 [3328/47500]	Loss: 0.5954	LR: 0.020000
Training Epoch: 24 [3584/47500]	Loss: 0.5575	LR: 0.020000
Training Epoch: 24 [3840/47500]	Loss: 0.5407	LR: 0.020000
Training Epoch: 24 [4096/47500]	Loss: 0.5149	LR: 0.020000
Training Epoch: 24 [4352/47500]	Loss: 0.5576	LR: 0.020000
Training Epoch: 24 [4608/47500]	Loss: 0.5123	LR: 0.020000
Training Epoch: 24 [4864/47500]	Loss: 0.4644	LR: 0.020000
Training Epoch: 24 [5120/47500]	Loss: 0.5614	LR: 0.020000
Training Epoch: 24 [5376/47500]	Loss: 0.5979	LR: 0.020000
Training Epoch: 24 [5632/47500]	Loss: 0.4939	LR: 0.020000
Training Epoch: 24 [5888/47500]	Loss: 0.5348	LR: 0.020000
Training Epoch: 24 [6144/47500]	Loss: 0.5651	LR: 0.020000
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Training Epoch: 24 [6656/47500]	Loss: 0.5417	LR: 0.020000
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Training Epoch: 24 [7168/47500]	Loss: 0.5020	LR: 0.020000
Training Epoch: 24 [7424/47500]	Loss: 0.5767	LR: 0.020000
Training Epoch: 24 [7680/47500]	Loss: 0.6102	LR: 0.020000
Training Epoch: 24 [7936/47500]	Loss: 0.5503	LR: 0.020000
Training Epoch: 24 [8192/47500]	Loss: 0.5087	LR: 0.020000
Training Epoch: 24 [8448/47500]	Loss: 0.5779	LR: 0.020000
Training Epoch: 24 [8704/47500]	Loss: 0.5036	LR: 0.020000
Training Epoch: 24 [8960/47500]	Loss: 0.5808	LR: 0.020000
Training Epoch: 24 [9216/47500]	Loss: 0.6709	LR: 0.020000
Training Epoch: 24 [9472/47500]	Loss: 0.6063	LR: 0.020000
Training Epoch: 24 [9728/47500]	Loss: 0.5803	LR: 0.020000
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Training Epoch: 24 [10240/47500]	Loss: 0.5473	LR: 0.020000
Training Epoch: 24 [10496/47500]	Loss: 0.4663	LR: 0.020000
Training Epoch: 24 [10752/47500]	Loss: 0.5939	LR: 0.020000
Training Epoch: 24 [11008/47500]	Loss: 0.5590	LR: 0.020000
Training Epoch: 24 [11264/47500]	Loss: 0.4876	LR: 0.020000
Training Epoch: 24 [11520/47500]	Loss: 0.5032	LR: 0.020000
Training Epoch: 24 [11776/47500]	Loss: 0.5180	LR: 0.020000
Training Epoch: 24 [12032/47500]	Loss: 0.4847	LR: 0.020000
Training Epoch: 24 [12288/47500]	Loss: 0.5656	LR: 0.020000
Training Epoch: 24 [12544/47500]	Loss: 0.5381	LR: 0.020000
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Training Epoch: 24 [15616/47500]	Loss: 0.6106	LR: 0.020000
Training Epoch: 24 [15872/47500]	Loss: 0.5742	LR: 0.020000
Training Epoch: 24 [16128/47500]	Loss: 0.5426	LR: 0.020000
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Training Epoch: 24 [16640/47500]	Loss: 0.6597	LR: 0.020000
Training Epoch: 24 [16896/47500]	Loss: 0.5896	LR: 0.020000
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Training Epoch: 24 [18944/47500]	Loss: 0.5560	LR: 0.020000
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Training Epoch: 24 [19712/47500]	Loss: 0.5597	LR: 0.020000
Training Epoch: 24 [19968/47500]	Loss: 0.5761	LR: 0.020000
Training Epoch: 24 [20224/47500]	Loss: 0.5392	LR: 0.020000
Training Epoch: 24 [20480/47500]	Loss: 0.4824	LR: 0.020000
Training Epoch: 24 [20736/47500]	Loss: 0.5447	LR: 0.020000
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Training Epoch: 24 [21760/47500]	Loss: 0.7189	LR: 0.020000
Training Epoch: 24 [22016/47500]	Loss: 0.5655	LR: 0.020000
Training Epoch: 24 [22272/47500]	Loss: 0.4942	LR: 0.020000
Training Epoch: 24 [22528/47500]	Loss: 0.5836	LR: 0.020000
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Training Epoch: 24 [23040/47500]	Loss: 0.4817	LR: 0.020000
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Training Epoch: 24 [40192/47500]	Loss: 0.4873	LR: 0.020000
Training Epoch: 24 [40448/47500]	Loss: 0.5348	LR: 0.020000
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Training Epoch: 24 [40960/47500]	Loss: 0.5608	LR: 0.020000
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Training Epoch: 24 [41728/47500]	Loss: 0.5170	LR: 0.020000
Training Epoch: 24 [41984/47500]	Loss: 0.5919	LR: 0.020000
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Training Epoch: 24 [42496/47500]	Loss: 0.5233	LR: 0.020000
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Training Epoch: 24 [43264/47500]	Loss: 0.6016	LR: 0.020000
Training Epoch: 24 [43520/47500]	Loss: 0.5361	LR: 0.020000
Training Epoch: 24 [43776/47500]	Loss: 0.5538	LR: 0.020000
Training Epoch: 24 [44032/47500]	Loss: 0.5174	LR: 0.020000
Training Epoch: 24 [44288/47500]	Loss: 0.6692	LR: 0.020000
Training Epoch: 24 [44544/47500]	Loss: 0.6099	LR: 0.020000
Training Epoch: 24 [44800/47500]	Loss: 0.6191	LR: 0.020000
Training Epoch: 24 [45056/47500]	Loss: 0.5356	LR: 0.020000
Training Epoch: 24 [45312/47500]	Loss: 0.5777	LR: 0.020000
Training Epoch: 24 [45568/47500]	Loss: 0.5946	LR: 0.020000
Training Epoch: 24 [45824/47500]	Loss: 0.4535	LR: 0.020000
Training Epoch: 24 [46080/47500]	Loss: 0.5665	LR: 0.020000
Training Epoch: 24 [46336/47500]	Loss: 0.5494	LR: 0.020000
Training Epoch: 24 [46592/47500]	Loss: 0.6388	LR: 0.020000
Training Epoch: 24 [46848/47500]	Loss: 0.5767	LR: 0.020000
Training Epoch: 24 [47104/47500]	Loss: 0.5116	LR: 0.020000
Training Epoch: 24 [47360/47500]	Loss: 0.4647	LR: 0.020000
Training Epoch: 24 [47500/47500]	Loss: 0.4864	LR: 0.020000
Epoch 24 - Average Train Loss: 0.5564, Train Accuracy: 0.8179
Epoch 24 training time consumed: 26.11s
Evaluating Network.....
Test set: Epoch: 24, Average loss: 0.0037, Accuracy: 0.7292, Time consumed:0.87s
Training Epoch: 25 [256/47500]	Loss: 0.5101	LR: 0.020000
Training Epoch: 25 [512/47500]	Loss: 0.5782	LR: 0.020000
Training Epoch: 25 [768/47500]	Loss: 0.5574	LR: 0.020000
Training Epoch: 25 [1024/47500]	Loss: 0.4939	LR: 0.020000
Training Epoch: 25 [1280/47500]	Loss: 0.5300	LR: 0.020000
Training Epoch: 25 [1536/47500]	Loss: 0.5054	LR: 0.020000
Training Epoch: 25 [1792/47500]	Loss: 0.5470	LR: 0.020000
Training Epoch: 25 [2048/47500]	Loss: 0.5886	LR: 0.020000
Training Epoch: 25 [2304/47500]	Loss: 0.5512	LR: 0.020000
Training Epoch: 25 [2560/47500]	Loss: 0.5910	LR: 0.020000
Training Epoch: 25 [2816/47500]	Loss: 0.4579	LR: 0.020000
Training Epoch: 25 [3072/47500]	Loss: 0.5771	LR: 0.020000
Training Epoch: 25 [3328/47500]	Loss: 0.5061	LR: 0.020000
Training Epoch: 25 [3584/47500]	Loss: 0.4811	LR: 0.020000
Training Epoch: 25 [3840/47500]	Loss: 0.5500	LR: 0.020000
Training Epoch: 25 [4096/47500]	Loss: 0.5598	LR: 0.020000
Training Epoch: 25 [4352/47500]	Loss: 0.5744	LR: 0.020000
Training Epoch: 25 [4608/47500]	Loss: 0.5419	LR: 0.020000
Training Epoch: 25 [4864/47500]	Loss: 0.5558	LR: 0.020000
Training Epoch: 25 [5120/47500]	Loss: 0.5549	LR: 0.020000
Training Epoch: 25 [5376/47500]	Loss: 0.5682	LR: 0.020000
Training Epoch: 25 [5632/47500]	Loss: 0.5276	LR: 0.020000
Training Epoch: 25 [5888/47500]	Loss: 0.4738	LR: 0.020000
Training Epoch: 25 [6144/47500]	Loss: 0.4208	LR: 0.020000
Training Epoch: 25 [6400/47500]	Loss: 0.5310	LR: 0.020000
Training Epoch: 25 [6656/47500]	Loss: 0.6172	LR: 0.020000
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Training Epoch: 25 [7168/47500]	Loss: 0.5971	LR: 0.020000
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Training Epoch: 25 [7680/47500]	Loss: 0.4084	LR: 0.020000
Training Epoch: 25 [7936/47500]	Loss: 0.4810	LR: 0.020000
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Training Epoch: 25 [8448/47500]	Loss: 0.5512	LR: 0.020000
Training Epoch: 25 [8704/47500]	Loss: 0.5647	LR: 0.020000
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Training Epoch: 25 [15872/47500]	Loss: 0.5177	LR: 0.020000
Training Epoch: 25 [16128/47500]	Loss: 0.6370	LR: 0.020000
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Training Epoch: 25 [16896/47500]	Loss: 0.4418	LR: 0.020000
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Training Epoch: 25 [19200/47500]	Loss: 0.4596	LR: 0.020000
Training Epoch: 25 [19456/47500]	Loss: 0.5289	LR: 0.020000
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Training Epoch: 25 [19968/47500]	Loss: 0.5415	LR: 0.020000
Training Epoch: 25 [20224/47500]	Loss: 0.5085	LR: 0.020000
Training Epoch: 25 [20480/47500]	Loss: 0.5042	LR: 0.020000
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Training Epoch: 25 [22016/47500]	Loss: 0.5365	LR: 0.020000
Training Epoch: 25 [22272/47500]	Loss: 0.5217	LR: 0.020000
Training Epoch: 25 [22528/47500]	Loss: 0.5480	LR: 0.020000
Training Epoch: 25 [22784/47500]	Loss: 0.4735	LR: 0.020000
Training Epoch: 25 [23040/47500]	Loss: 0.6161	LR: 0.020000
Training Epoch: 25 [23296/47500]	Loss: 0.4915	LR: 0.020000
Training Epoch: 25 [23552/47500]	Loss: 0.4855	LR: 0.020000
Training Epoch: 25 [23808/47500]	Loss: 0.4961	LR: 0.020000
Training Epoch: 25 [24064/47500]	Loss: 0.5296	LR: 0.020000
Training Epoch: 25 [24320/47500]	Loss: 0.6406	LR: 0.020000
Training Epoch: 25 [24576/47500]	Loss: 0.4849	LR: 0.020000
Training Epoch: 25 [24832/47500]	Loss: 0.4269	LR: 0.020000
Training Epoch: 25 [25088/47500]	Loss: 0.6377	LR: 0.020000
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Training Epoch: 25 [25856/47500]	Loss: 0.6253	LR: 0.020000
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Training Epoch: 25 [28160/47500]	Loss: 0.6047	LR: 0.020000
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Training Epoch: 25 [29184/47500]	Loss: 0.5109	LR: 0.020000
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Training Epoch: 25 [29952/47500]	Loss: 0.5308	LR: 0.020000
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Training Epoch: 25 [30464/47500]	Loss: 0.4915	LR: 0.020000
Training Epoch: 25 [30720/47500]	Loss: 0.5296	LR: 0.020000
Training Epoch: 25 [30976/47500]	Loss: 0.6357	LR: 0.020000
Training Epoch: 25 [31232/47500]	Loss: 0.5557	LR: 0.020000
Training Epoch: 25 [31488/47500]	Loss: 0.5892	LR: 0.020000
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Training Epoch: 25 [32256/47500]	Loss: 0.6347	LR: 0.020000
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Training Epoch: 25 [32768/47500]	Loss: 0.6238	LR: 0.020000
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Training Epoch: 25 [35584/47500]	Loss: 0.5871	LR: 0.020000
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Training Epoch: 25 [36352/47500]	Loss: 0.6138	LR: 0.020000
Training Epoch: 25 [36608/47500]	Loss: 0.5415	LR: 0.020000
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Training Epoch: 25 [39936/47500]	Loss: 0.3571	LR: 0.020000
Training Epoch: 25 [40192/47500]	Loss: 0.5556	LR: 0.020000
Training Epoch: 25 [40448/47500]	Loss: 0.5676	LR: 0.020000
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Training Epoch: 25 [41472/47500]	Loss: 0.5912	LR: 0.020000
Training Epoch: 25 [41728/47500]	Loss: 0.5950	LR: 0.020000
Training Epoch: 25 [41984/47500]	Loss: 0.5911	LR: 0.020000
Training Epoch: 25 [42240/47500]	Loss: 0.6008	LR: 0.020000
Training Epoch: 25 [42496/47500]	Loss: 0.5460	LR: 0.020000
Training Epoch: 25 [42752/47500]	Loss: 0.5294	LR: 0.020000
Training Epoch: 25 [43008/47500]	Loss: 0.4786	LR: 0.020000
Training Epoch: 25 [43264/47500]	Loss: 0.5485	LR: 0.020000
Training Epoch: 25 [43520/47500]	Loss: 0.5925	LR: 0.020000
Training Epoch: 25 [43776/47500]	Loss: 0.7134	LR: 0.020000
Training Epoch: 25 [44032/47500]	Loss: 0.6312	LR: 0.020000
Training Epoch: 25 [44288/47500]	Loss: 0.6493	LR: 0.020000
Training Epoch: 25 [44544/47500]	Loss: 0.6026	LR: 0.020000
Training Epoch: 25 [44800/47500]	Loss: 0.5743	LR: 0.020000
Training Epoch: 25 [45056/47500]	Loss: 0.4862	LR: 0.020000
Training Epoch: 25 [45312/47500]	Loss: 0.5268	LR: 0.020000
Training Epoch: 25 [45568/47500]	Loss: 0.6256	LR: 0.020000
Training Epoch: 25 [45824/47500]	Loss: 0.5593	LR: 0.020000
Training Epoch: 25 [46080/47500]	Loss: 0.5741	LR: 0.020000
Training Epoch: 25 [46336/47500]	Loss: 0.5296	LR: 0.020000
Training Epoch: 25 [46592/47500]	Loss: 0.5681	LR: 0.020000
Training Epoch: 25 [46848/47500]	Loss: 0.7134	LR: 0.020000
Training Epoch: 25 [47104/47500]	Loss: 0.7318	LR: 0.020000
Training Epoch: 25 [47360/47500]	Loss: 0.5763	LR: 0.020000
Training Epoch: 25 [47500/47500]	Loss: 0.5595	LR: 0.020000
Epoch 25 - Average Train Loss: 0.5429, Train Accuracy: 0.8244
Epoch 25 training time consumed: 25.99s
Evaluating Network.....
Test set: Epoch: 25, Average loss: 0.0035, Accuracy: 0.7389, Time consumed:0.89s
Training Epoch: 26 [256/47500]	Loss: 0.5044	LR: 0.020000
Training Epoch: 26 [512/47500]	Loss: 0.5051	LR: 0.020000
Training Epoch: 26 [768/47500]	Loss: 0.5052	LR: 0.020000
Training Epoch: 26 [1024/47500]	Loss: 0.5357	LR: 0.020000
Training Epoch: 26 [1280/47500]	Loss: 0.4303	LR: 0.020000
Training Epoch: 26 [1536/47500]	Loss: 0.5196	LR: 0.020000
Training Epoch: 26 [1792/47500]	Loss: 0.4611	LR: 0.020000
Training Epoch: 26 [2048/47500]	Loss: 0.5410	LR: 0.020000
Training Epoch: 26 [2304/47500]	Loss: 0.5203	LR: 0.020000
Training Epoch: 26 [2560/47500]	Loss: 0.5725	LR: 0.020000
Training Epoch: 26 [2816/47500]	Loss: 0.6487	LR: 0.020000
Training Epoch: 26 [3072/47500]	Loss: 0.6008	LR: 0.020000
Training Epoch: 26 [3328/47500]	Loss: 0.4807	LR: 0.020000
Training Epoch: 26 [3584/47500]	Loss: 0.4672	LR: 0.020000
Training Epoch: 26 [3840/47500]	Loss: 0.5625	LR: 0.020000
Training Epoch: 26 [4096/47500]	Loss: 0.4716	LR: 0.020000
Training Epoch: 26 [4352/47500]	Loss: 0.4315	LR: 0.020000
Training Epoch: 26 [4608/47500]	Loss: 0.4453	LR: 0.020000
Training Epoch: 26 [4864/47500]	Loss: 0.4666	LR: 0.020000
Training Epoch: 26 [5120/47500]	Loss: 0.5167	LR: 0.020000
Training Epoch: 26 [5376/47500]	Loss: 0.5338	LR: 0.020000
Training Epoch: 26 [5632/47500]	Loss: 0.5708	LR: 0.020000
Training Epoch: 26 [5888/47500]	Loss: 0.5596	LR: 0.020000
Training Epoch: 26 [6144/47500]	Loss: 0.5509	LR: 0.020000
Training Epoch: 26 [6400/47500]	Loss: 0.4645	LR: 0.020000
Training Epoch: 26 [6656/47500]	Loss: 0.5152	LR: 0.020000
Training Epoch: 26 [6912/47500]	Loss: 0.5511	LR: 0.020000
Training Epoch: 26 [7168/47500]	Loss: 0.5941	LR: 0.020000
Training Epoch: 26 [7424/47500]	Loss: 0.4731	LR: 0.020000
Training Epoch: 26 [7680/47500]	Loss: 0.4034	LR: 0.020000
Training Epoch: 26 [7936/47500]	Loss: 0.5311	LR: 0.020000
Training Epoch: 26 [8192/47500]	Loss: 0.5907	LR: 0.020000
Training Epoch: 26 [8448/47500]	Loss: 0.4883	LR: 0.020000
Training Epoch: 26 [8704/47500]	Loss: 0.5822	LR: 0.020000
Training Epoch: 26 [8960/47500]	Loss: 0.6106	LR: 0.020000
Training Epoch: 26 [9216/47500]	Loss: 0.4950	LR: 0.020000
Training Epoch: 26 [9472/47500]	Loss: 0.6106	LR: 0.020000
Training Epoch: 26 [9728/47500]	Loss: 0.5015	LR: 0.020000
Training Epoch: 26 [9984/47500]	Loss: 0.5749	LR: 0.020000
Training Epoch: 26 [10240/47500]	Loss: 0.5649	LR: 0.020000
Training Epoch: 26 [10496/47500]	Loss: 0.5368	LR: 0.020000
Training Epoch: 26 [10752/47500]	Loss: 0.4553	LR: 0.020000
Training Epoch: 26 [11008/47500]	Loss: 0.5215	LR: 0.020000
Training Epoch: 26 [11264/47500]	Loss: 0.4668	LR: 0.020000
Training Epoch: 26 [11520/47500]	Loss: 0.4119	LR: 0.020000
Training Epoch: 26 [11776/47500]	Loss: 0.5644	LR: 0.020000
Training Epoch: 26 [12032/47500]	Loss: 0.4830	LR: 0.020000
Training Epoch: 26 [12288/47500]	Loss: 0.4787	LR: 0.020000
Training Epoch: 26 [12544/47500]	Loss: 0.3948	LR: 0.020000
Training Epoch: 26 [12800/47500]	Loss: 0.5582	LR: 0.020000
Training Epoch: 26 [13056/47500]	Loss: 0.5090	LR: 0.020000
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Training Epoch: 26 [13568/47500]	Loss: 0.5351	LR: 0.020000
Training Epoch: 26 [13824/47500]	Loss: 0.5628	LR: 0.020000
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Training Epoch: 26 [15360/47500]	Loss: 0.5344	LR: 0.020000
Training Epoch: 26 [15616/47500]	Loss: 0.4240	LR: 0.020000
Training Epoch: 26 [15872/47500]	Loss: 0.4551	LR: 0.020000
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Training Epoch: 26 [16384/47500]	Loss: 0.4435	LR: 0.020000
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Training Epoch: 26 [16896/47500]	Loss: 0.4843	LR: 0.020000
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Training Epoch: 26 [18688/47500]	Loss: 0.5303	LR: 0.020000
Training Epoch: 26 [18944/47500]	Loss: 0.5491	LR: 0.020000
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Training Epoch: 26 [19968/47500]	Loss: 0.5901	LR: 0.020000
Training Epoch: 26 [20224/47500]	Loss: 0.6452	LR: 0.020000
Training Epoch: 26 [20480/47500]	Loss: 0.5446	LR: 0.020000
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Training Epoch: 26 [22016/47500]	Loss: 0.5241	LR: 0.020000
Training Epoch: 26 [22272/47500]	Loss: 0.5529	LR: 0.020000
Training Epoch: 26 [22528/47500]	Loss: 0.5607	LR: 0.020000
Training Epoch: 26 [22784/47500]	Loss: 0.5755	LR: 0.020000
Training Epoch: 26 [23040/47500]	Loss: 0.4430	LR: 0.020000
Training Epoch: 26 [23296/47500]	Loss: 0.6127	LR: 0.020000
Training Epoch: 26 [23552/47500]	Loss: 0.5451	LR: 0.020000
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Training Epoch: 26 [24576/47500]	Loss: 0.4779	LR: 0.020000
Training Epoch: 26 [24832/47500]	Loss: 0.4608	LR: 0.020000
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Training Epoch: 26 [25600/47500]	Loss: 0.5809	LR: 0.020000
Training Epoch: 26 [25856/47500]	Loss: 0.5684	LR: 0.020000
Training Epoch: 26 [26112/47500]	Loss: 0.4544	LR: 0.020000
Training Epoch: 26 [26368/47500]	Loss: 0.4784	LR: 0.020000
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Training Epoch: 26 [26880/47500]	Loss: 0.4582	LR: 0.020000
Training Epoch: 26 [27136/47500]	Loss: 0.5753	LR: 0.020000
Training Epoch: 26 [27392/47500]	Loss: 0.4958	LR: 0.020000
Training Epoch: 26 [27648/47500]	Loss: 0.5944	LR: 0.020000
Training Epoch: 26 [27904/47500]	Loss: 0.5204	LR: 0.020000
Training Epoch: 26 [28160/47500]	Loss: 0.5731	LR: 0.020000
Training Epoch: 26 [28416/47500]	Loss: 0.4415	LR: 0.020000
Training Epoch: 26 [28672/47500]	Loss: 0.5546	LR: 0.020000
Training Epoch: 26 [28928/47500]	Loss: 0.6428	LR: 0.020000
Training Epoch: 26 [29184/47500]	Loss: 0.6710	LR: 0.020000
Training Epoch: 26 [29440/47500]	Loss: 0.4708	LR: 0.020000
Training Epoch: 26 [29696/47500]	Loss: 0.5500	LR: 0.020000
Training Epoch: 26 [29952/47500]	Loss: 0.5991	LR: 0.020000
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Training Epoch: 26 [30464/47500]	Loss: 0.4879	LR: 0.020000
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Training Epoch: 26 [35840/47500]	Loss: 0.6585	LR: 0.020000
Training Epoch: 26 [36096/47500]	Loss: 0.5848	LR: 0.020000
Training Epoch: 26 [36352/47500]	Loss: 0.5208	LR: 0.020000
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Training Epoch: 26 [37888/47500]	Loss: 0.5100	LR: 0.020000
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Training Epoch: 26 [38656/47500]	Loss: 0.6346	LR: 0.020000
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Training Epoch: 26 [39424/47500]	Loss: 0.4402	LR: 0.020000
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Training Epoch: 26 [39936/47500]	Loss: 0.5574	LR: 0.020000
Training Epoch: 26 [40192/47500]	Loss: 0.5658	LR: 0.020000
Training Epoch: 26 [40448/47500]	Loss: 0.4919	LR: 0.020000
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Training Epoch: 26 [41216/47500]	Loss: 0.5765	LR: 0.020000
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Training Epoch: 26 [41728/47500]	Loss: 0.6308	LR: 0.020000
Training Epoch: 26 [41984/47500]	Loss: 0.5061	LR: 0.020000
Training Epoch: 26 [42240/47500]	Loss: 0.5864	LR: 0.020000
Training Epoch: 26 [42496/47500]	Loss: 0.7276	LR: 0.020000
Training Epoch: 26 [42752/47500]	Loss: 0.5531	LR: 0.020000
Training Epoch: 26 [43008/47500]	Loss: 0.4987	LR: 0.020000
Training Epoch: 26 [43264/47500]	Loss: 0.5583	LR: 0.020000
Training Epoch: 26 [43520/47500]	Loss: 0.5332	LR: 0.020000
Training Epoch: 26 [43776/47500]	Loss: 0.5066	LR: 0.020000
Training Epoch: 26 [44032/47500]	Loss: 0.5749	LR: 0.020000
Training Epoch: 26 [44288/47500]	Loss: 0.6241	LR: 0.020000
Training Epoch: 26 [44544/47500]	Loss: 0.5025	LR: 0.020000
Training Epoch: 26 [44800/47500]	Loss: 0.5498	LR: 0.020000
Training Epoch: 26 [45056/47500]	Loss: 0.5457	LR: 0.020000
Training Epoch: 26 [45312/47500]	Loss: 0.6504	LR: 0.020000
Training Epoch: 26 [45568/47500]	Loss: 0.6888	LR: 0.020000
Training Epoch: 26 [45824/47500]	Loss: 0.5875	LR: 0.020000
Training Epoch: 26 [46080/47500]	Loss: 0.4770	LR: 0.020000
Training Epoch: 26 [46336/47500]	Loss: 0.6582	LR: 0.020000
Training Epoch: 26 [46592/47500]	Loss: 0.5416	LR: 0.020000
Training Epoch: 26 [46848/47500]	Loss: 0.5839	LR: 0.020000
Training Epoch: 26 [47104/47500]	Loss: 0.5331	LR: 0.020000
Training Epoch: 26 [47360/47500]	Loss: 0.5782	LR: 0.020000
Training Epoch: 26 [47500/47500]	Loss: 0.6354	LR: 0.020000
Epoch 26 - Average Train Loss: 0.5383, Train Accuracy: 0.8259
Epoch 26 training time consumed: 26.23s
Evaluating Network.....
Test set: Epoch: 26, Average loss: 0.0037, Accuracy: 0.7365, Time consumed:0.89s
Training Epoch: 27 [256/47500]	Loss: 0.5588	LR: 0.020000
Training Epoch: 27 [512/47500]	Loss: 0.4547	LR: 0.020000
Training Epoch: 27 [768/47500]	Loss: 0.5388	LR: 0.020000
Training Epoch: 27 [1024/47500]	Loss: 0.4138	LR: 0.020000
Training Epoch: 27 [1280/47500]	Loss: 0.6024	LR: 0.020000
Training Epoch: 27 [1536/47500]	Loss: 0.6143	LR: 0.020000
Training Epoch: 27 [1792/47500]	Loss: 0.5566	LR: 0.020000
Training Epoch: 27 [2048/47500]	Loss: 0.4446	LR: 0.020000
Training Epoch: 27 [2304/47500]	Loss: 0.4864	LR: 0.020000
Training Epoch: 27 [2560/47500]	Loss: 0.5586	LR: 0.020000
Training Epoch: 27 [2816/47500]	Loss: 0.5259	LR: 0.020000
Training Epoch: 27 [3072/47500]	Loss: 0.5507	LR: 0.020000
Training Epoch: 27 [3328/47500]	Loss: 0.4797	LR: 0.020000
Training Epoch: 27 [3584/47500]	Loss: 0.4731	LR: 0.020000
Training Epoch: 27 [3840/47500]	Loss: 0.5325	LR: 0.020000
Training Epoch: 27 [4096/47500]	Loss: 0.4950	LR: 0.020000
Training Epoch: 27 [4352/47500]	Loss: 0.4337	LR: 0.020000
Training Epoch: 27 [4608/47500]	Loss: 0.3771	LR: 0.020000
Training Epoch: 27 [4864/47500]	Loss: 0.5948	LR: 0.020000
Training Epoch: 27 [5120/47500]	Loss: 0.5489	LR: 0.020000
Training Epoch: 27 [5376/47500]	Loss: 0.4907	LR: 0.020000
Training Epoch: 27 [5632/47500]	Loss: 0.4038	LR: 0.020000
Training Epoch: 27 [5888/47500]	Loss: 0.4532	LR: 0.020000
Training Epoch: 27 [6144/47500]	Loss: 0.4352	LR: 0.020000
Training Epoch: 27 [6400/47500]	Loss: 0.5952	LR: 0.020000
Training Epoch: 27 [6656/47500]	Loss: 0.4466	LR: 0.020000
Training Epoch: 27 [6912/47500]	Loss: 0.4587	LR: 0.020000
Training Epoch: 27 [7168/47500]	Loss: 0.5023	LR: 0.020000
Training Epoch: 27 [7424/47500]	Loss: 0.5599	LR: 0.020000
Training Epoch: 27 [7680/47500]	Loss: 0.5415	LR: 0.020000
Training Epoch: 27 [7936/47500]	Loss: 0.5136	LR: 0.020000
Training Epoch: 27 [8192/47500]	Loss: 0.5456	LR: 0.020000
Training Epoch: 27 [8448/47500]	Loss: 0.5101	LR: 0.020000
Training Epoch: 27 [8704/47500]	Loss: 0.5798	LR: 0.020000
Training Epoch: 27 [8960/47500]	Loss: 0.6005	LR: 0.020000
Training Epoch: 27 [9216/47500]	Loss: 0.4554	LR: 0.020000
Training Epoch: 27 [9472/47500]	Loss: 0.5740	LR: 0.020000
Training Epoch: 27 [9728/47500]	Loss: 0.4777	LR: 0.020000
Training Epoch: 27 [9984/47500]	Loss: 0.4777	LR: 0.020000
Training Epoch: 27 [10240/47500]	Loss: 0.4919	LR: 0.020000
Training Epoch: 27 [10496/47500]	Loss: 0.5460	LR: 0.020000
Training Epoch: 27 [10752/47500]	Loss: 0.5663	LR: 0.020000
Training Epoch: 27 [11008/47500]	Loss: 0.4657	LR: 0.020000
Training Epoch: 27 [11264/47500]	Loss: 0.4970	LR: 0.020000
Training Epoch: 27 [11520/47500]	Loss: 0.5193	LR: 0.020000
Training Epoch: 27 [11776/47500]	Loss: 0.5299	LR: 0.020000
Training Epoch: 27 [12032/47500]	Loss: 0.5629	LR: 0.020000
Training Epoch: 27 [12288/47500]	Loss: 0.5437	LR: 0.020000
Training Epoch: 27 [12544/47500]	Loss: 0.5759	LR: 0.020000
Training Epoch: 27 [12800/47500]	Loss: 0.4495	LR: 0.020000
Training Epoch: 27 [13056/47500]	Loss: 0.6024	LR: 0.020000
Training Epoch: 27 [13312/47500]	Loss: 0.5108	LR: 0.020000
Training Epoch: 27 [13568/47500]	Loss: 0.5400	LR: 0.020000
Training Epoch: 27 [13824/47500]	Loss: 0.6140	LR: 0.020000
Training Epoch: 27 [14080/47500]	Loss: 0.6917	LR: 0.020000
Training Epoch: 27 [14336/47500]	Loss: 0.5846	LR: 0.020000
Training Epoch: 27 [14592/47500]	Loss: 0.5519	LR: 0.020000
Training Epoch: 27 [14848/47500]	Loss: 0.5369	LR: 0.020000
Training Epoch: 27 [15104/47500]	Loss: 0.5080	LR: 0.020000
Training Epoch: 27 [15360/47500]	Loss: 0.4204	LR: 0.020000
Training Epoch: 27 [15616/47500]	Loss: 0.6809	LR: 0.020000
Training Epoch: 27 [15872/47500]	Loss: 0.5421	LR: 0.020000
Training Epoch: 27 [16128/47500]	Loss: 0.5465	LR: 0.020000
Training Epoch: 27 [16384/47500]	Loss: 0.5352	LR: 0.020000
Training Epoch: 27 [16640/47500]	Loss: 0.5257	LR: 0.020000
Training Epoch: 27 [16896/47500]	Loss: 0.4687	LR: 0.020000
Training Epoch: 27 [17152/47500]	Loss: 0.5165	LR: 0.020000
Training Epoch: 27 [17408/47500]	Loss: 0.4088	LR: 0.020000
Training Epoch: 27 [17664/47500]	Loss: 0.3811	LR: 0.020000
Training Epoch: 27 [17920/47500]	Loss: 0.5496	LR: 0.020000
Training Epoch: 27 [18176/47500]	Loss: 0.4863	LR: 0.020000
Training Epoch: 27 [18432/47500]	Loss: 0.4857	LR: 0.020000
Training Epoch: 27 [18688/47500]	Loss: 0.4699	LR: 0.020000
Training Epoch: 27 [18944/47500]	Loss: 0.5250	LR: 0.020000
Training Epoch: 27 [19200/47500]	Loss: 0.4766	LR: 0.020000
Training Epoch: 27 [19456/47500]	Loss: 0.4692	LR: 0.020000
Training Epoch: 27 [19712/47500]	Loss: 0.5375	LR: 0.020000
Training Epoch: 27 [19968/47500]	Loss: 0.4697	LR: 0.020000
Training Epoch: 27 [20224/47500]	Loss: 0.5150	LR: 0.020000
Training Epoch: 27 [20480/47500]	Loss: 0.5514	LR: 0.020000
Training Epoch: 27 [20736/47500]	Loss: 0.5411	LR: 0.020000
Training Epoch: 27 [20992/47500]	Loss: 0.5548	LR: 0.020000
Training Epoch: 27 [21248/47500]	Loss: 0.5183	LR: 0.020000
Training Epoch: 27 [21504/47500]	Loss: 0.4583	LR: 0.020000
Training Epoch: 27 [21760/47500]	Loss: 0.5747	LR: 0.020000
Training Epoch: 27 [22016/47500]	Loss: 0.4691	LR: 0.020000
Training Epoch: 27 [22272/47500]	Loss: 0.6335	LR: 0.020000
Training Epoch: 27 [22528/47500]	Loss: 0.5325	LR: 0.020000
Training Epoch: 27 [22784/47500]	Loss: 0.5603	LR: 0.020000
Training Epoch: 27 [23040/47500]	Loss: 0.4949	LR: 0.020000
Training Epoch: 27 [23296/47500]	Loss: 0.4984	LR: 0.020000
Training Epoch: 27 [23552/47500]	Loss: 0.5784	LR: 0.020000
Training Epoch: 27 [23808/47500]	Loss: 0.5503	LR: 0.020000
Training Epoch: 27 [24064/47500]	Loss: 0.5325	LR: 0.020000
Training Epoch: 27 [24320/47500]	Loss: 0.4961	LR: 0.020000
Training Epoch: 27 [24576/47500]	Loss: 0.4530	LR: 0.020000
Training Epoch: 27 [24832/47500]	Loss: 0.4463	LR: 0.020000
Training Epoch: 27 [25088/47500]	Loss: 0.4976	LR: 0.020000
Training Epoch: 27 [25344/47500]	Loss: 0.5221	LR: 0.020000
Training Epoch: 27 [25600/47500]	Loss: 0.5287	LR: 0.020000
Training Epoch: 27 [25856/47500]	Loss: 0.4625	LR: 0.020000
Training Epoch: 27 [26112/47500]	Loss: 0.5189	LR: 0.020000
Training Epoch: 27 [26368/47500]	Loss: 0.4080	LR: 0.020000
Training Epoch: 27 [26624/47500]	Loss: 0.5459	LR: 0.020000
Training Epoch: 27 [26880/47500]	Loss: 0.4871	LR: 0.020000
Training Epoch: 27 [27136/47500]	Loss: 0.4635	LR: 0.020000
Training Epoch: 27 [27392/47500]	Loss: 0.5601	LR: 0.020000
Training Epoch: 27 [27648/47500]	Loss: 0.4875	LR: 0.020000
Training Epoch: 27 [27904/47500]	Loss: 0.5667	LR: 0.020000
Training Epoch: 27 [28160/47500]	Loss: 0.5346	LR: 0.020000
Training Epoch: 27 [28416/47500]	Loss: 0.4312	LR: 0.020000
Training Epoch: 27 [28672/47500]	Loss: 0.6076	LR: 0.020000
Training Epoch: 27 [28928/47500]	Loss: 0.6138	LR: 0.020000
Training Epoch: 27 [29184/47500]	Loss: 0.5612	LR: 0.020000
Training Epoch: 27 [29440/47500]	Loss: 0.5377	LR: 0.020000
Training Epoch: 27 [29696/47500]	Loss: 0.5593	LR: 0.020000
Training Epoch: 27 [29952/47500]	Loss: 0.5156	LR: 0.020000
Training Epoch: 27 [30208/47500]	Loss: 0.4562	LR: 0.020000
Training Epoch: 27 [30464/47500]	Loss: 0.5323	LR: 0.020000
Training Epoch: 27 [30720/47500]	Loss: 0.6144	LR: 0.020000
Training Epoch: 27 [30976/47500]	Loss: 0.5372	LR: 0.020000
Training Epoch: 27 [31232/47500]	Loss: 0.5449	LR: 0.020000
Training Epoch: 27 [31488/47500]	Loss: 0.6652	LR: 0.020000
Training Epoch: 27 [31744/47500]	Loss: 0.5290	LR: 0.020000
Training Epoch: 27 [32000/47500]	Loss: 0.5271	LR: 0.020000
Training Epoch: 27 [32256/47500]	Loss: 0.4738	LR: 0.020000
Training Epoch: 27 [32512/47500]	Loss: 0.5862	LR: 0.020000
Training Epoch: 27 [32768/47500]	Loss: 0.5053	LR: 0.020000
Training Epoch: 27 [33024/47500]	Loss: 0.5919	LR: 0.020000
Training Epoch: 27 [33280/47500]	Loss: 0.5052	LR: 0.020000
Training Epoch: 27 [33536/47500]	Loss: 0.5410	LR: 0.020000
Training Epoch: 27 [33792/47500]	Loss: 0.5649	LR: 0.020000
Training Epoch: 27 [34048/47500]	Loss: 0.4783	LR: 0.020000
Training Epoch: 27 [34304/47500]	Loss: 0.5566	LR: 0.020000
Training Epoch: 27 [34560/47500]	Loss: 0.5566	LR: 0.020000
Training Epoch: 27 [34816/47500]	Loss: 0.5925	LR: 0.020000
Training Epoch: 27 [35072/47500]	Loss: 0.5262	LR: 0.020000
Training Epoch: 27 [35328/47500]	Loss: 0.5353	LR: 0.020000
Training Epoch: 27 [35584/47500]	Loss: 0.5173	LR: 0.020000
Training Epoch: 27 [35840/47500]	Loss: 0.5258	LR: 0.020000
Training Epoch: 27 [36096/47500]	Loss: 0.5176	LR: 0.020000
Training Epoch: 27 [36352/47500]	Loss: 0.4882	LR: 0.020000
Training Epoch: 27 [36608/47500]	Loss: 0.5556	LR: 0.020000
Training Epoch: 27 [36864/47500]	Loss: 0.4334	LR: 0.020000
Training Epoch: 27 [37120/47500]	Loss: 0.5316	LR: 0.020000
Training Epoch: 27 [37376/47500]	Loss: 0.4861	LR: 0.020000
Training Epoch: 27 [37632/47500]	Loss: 0.5891	LR: 0.020000
Training Epoch: 27 [37888/47500]	Loss: 0.5172	LR: 0.020000
Training Epoch: 27 [38144/47500]	Loss: 0.6319	LR: 0.020000
Training Epoch: 27 [38400/47500]	Loss: 0.4517	LR: 0.020000
Training Epoch: 27 [38656/47500]	Loss: 0.5956	LR: 0.020000
Training Epoch: 27 [38912/47500]	Loss: 0.5572	LR: 0.020000
Training Epoch: 27 [39168/47500]	Loss: 0.5153	LR: 0.020000
Training Epoch: 27 [39424/47500]	Loss: 0.5115	LR: 0.020000
Training Epoch: 27 [39680/47500]	Loss: 0.6188	LR: 0.020000
Training Epoch: 27 [39936/47500]	Loss: 0.5093	LR: 0.020000
Training Epoch: 27 [40192/47500]	Loss: 0.5260	LR: 0.020000
Training Epoch: 27 [40448/47500]	Loss: 0.3517	LR: 0.020000
Training Epoch: 27 [40704/47500]	Loss: 0.6088	LR: 0.020000
Training Epoch: 27 [40960/47500]	Loss: 0.5773	LR: 0.020000
Training Epoch: 27 [41216/47500]	Loss: 0.6133	LR: 0.020000
Training Epoch: 27 [41472/47500]	Loss: 0.4428	LR: 0.020000
Training Epoch: 27 [41728/47500]	Loss: 0.4763	LR: 0.020000
Training Epoch: 27 [41984/47500]	Loss: 0.5184	LR: 0.020000
Training Epoch: 27 [42240/47500]	Loss: 0.5200	LR: 0.020000
Training Epoch: 27 [42496/47500]	Loss: 0.5854	LR: 0.020000
Training Epoch: 27 [42752/47500]	Loss: 0.6478	LR: 0.020000
Training Epoch: 27 [43008/47500]	Loss: 0.5272	LR: 0.020000
Training Epoch: 27 [43264/47500]	Loss: 0.5754	LR: 0.020000
Training Epoch: 27 [43520/47500]	Loss: 0.6303	LR: 0.020000
Training Epoch: 27 [43776/47500]	Loss: 0.5964	LR: 0.020000
Training Epoch: 27 [44032/47500]	Loss: 0.4838	LR: 0.020000
Training Epoch: 27 [44288/47500]	Loss: 0.5866	LR: 0.020000
Training Epoch: 27 [44544/47500]	Loss: 0.7133	LR: 0.020000
Training Epoch: 27 [44800/47500]	Loss: 0.7010	LR: 0.020000
Training Epoch: 27 [45056/47500]	Loss: 0.5322	LR: 0.020000
Training Epoch: 27 [45312/47500]	Loss: 0.4292	LR: 0.020000
Training Epoch: 27 [45568/47500]	Loss: 0.5240	LR: 0.020000
Training Epoch: 27 [45824/47500]	Loss: 0.5305	LR: 0.020000
Training Epoch: 27 [46080/47500]	Loss: 0.5178	LR: 0.020000
Training Epoch: 27 [46336/47500]	Loss: 0.5933	LR: 0.020000
Training Epoch: 27 [46592/47500]	Loss: 0.5452	LR: 0.020000
Training Epoch: 27 [46848/47500]	Loss: 0.5012	LR: 0.020000
Training Epoch: 27 [47104/47500]	Loss: 0.6132	LR: 0.020000
Training Epoch: 27 [47360/47500]	Loss: 0.5453	LR: 0.020000
Training Epoch: 27 [47500/47500]	Loss: 0.6754	LR: 0.020000
Epoch 27 - Average Train Loss: 0.5280, Train Accuracy: 0.8288
Epoch 27 training time consumed: 26.08s
Evaluating Network.....
Test set: Epoch: 27, Average loss: 0.0036, Accuracy: 0.7375, Time consumed:0.91s
Training Epoch: 28 [256/47500]	Loss: 0.4865	LR: 0.020000
Training Epoch: 28 [512/47500]	Loss: 0.4605	LR: 0.020000
Training Epoch: 28 [768/47500]	Loss: 0.4603	LR: 0.020000
Training Epoch: 28 [1024/47500]	Loss: 0.5772	LR: 0.020000
Training Epoch: 28 [1280/47500]	Loss: 0.3910	LR: 0.020000
Training Epoch: 28 [1536/47500]	Loss: 0.4806	LR: 0.020000
Training Epoch: 28 [1792/47500]	Loss: 0.5169	LR: 0.020000
Training Epoch: 28 [2048/47500]	Loss: 0.4482	LR: 0.020000
Training Epoch: 28 [2304/47500]	Loss: 0.4708	LR: 0.020000
Training Epoch: 28 [2560/47500]	Loss: 0.5313	LR: 0.020000
Training Epoch: 28 [2816/47500]	Loss: 0.4773	LR: 0.020000
Training Epoch: 28 [3072/47500]	Loss: 0.5424	LR: 0.020000
Training Epoch: 28 [3328/47500]	Loss: 0.4817	LR: 0.020000
Training Epoch: 28 [3584/47500]	Loss: 0.5629	LR: 0.020000
Training Epoch: 28 [3840/47500]	Loss: 0.4649	LR: 0.020000
Training Epoch: 28 [4096/47500]	Loss: 0.5113	LR: 0.020000
Training Epoch: 28 [4352/47500]	Loss: 0.5166	LR: 0.020000
Training Epoch: 28 [4608/47500]	Loss: 0.4245	LR: 0.020000
Training Epoch: 28 [4864/47500]	Loss: 0.5640	LR: 0.020000
Training Epoch: 28 [5120/47500]	Loss: 0.4352	LR: 0.020000
Training Epoch: 28 [5376/47500]	Loss: 0.5065	LR: 0.020000
Training Epoch: 28 [5632/47500]	Loss: 0.4244	LR: 0.020000
Training Epoch: 28 [5888/47500]	Loss: 0.5158	LR: 0.020000
Training Epoch: 28 [6144/47500]	Loss: 0.4944	LR: 0.020000
Training Epoch: 28 [6400/47500]	Loss: 0.5015	LR: 0.020000
Training Epoch: 28 [6656/47500]	Loss: 0.4797	LR: 0.020000
Training Epoch: 28 [6912/47500]	Loss: 0.4407	LR: 0.020000
Training Epoch: 28 [7168/47500]	Loss: 0.4497	LR: 0.020000
Training Epoch: 28 [7424/47500]	Loss: 0.5028	LR: 0.020000
Training Epoch: 28 [7680/47500]	Loss: 0.3701	LR: 0.020000
Training Epoch: 28 [7936/47500]	Loss: 0.4500	LR: 0.020000
Training Epoch: 28 [8192/47500]	Loss: 0.5562	LR: 0.020000
Training Epoch: 28 [8448/47500]	Loss: 0.6062	LR: 0.020000
Training Epoch: 28 [8704/47500]	Loss: 0.5192	LR: 0.020000
Training Epoch: 28 [8960/47500]	Loss: 0.4628	LR: 0.020000
Training Epoch: 28 [9216/47500]	Loss: 0.4348	LR: 0.020000
Training Epoch: 28 [9472/47500]	Loss: 0.4275	LR: 0.020000
Training Epoch: 28 [9728/47500]	Loss: 0.5343	LR: 0.020000
Training Epoch: 28 [9984/47500]	Loss: 0.6425	LR: 0.020000
Training Epoch: 28 [10240/47500]	Loss: 0.4719	LR: 0.020000
Training Epoch: 28 [10496/47500]	Loss: 0.5832	LR: 0.020000
Training Epoch: 28 [10752/47500]	Loss: 0.4559	LR: 0.020000
Training Epoch: 28 [11008/47500]	Loss: 0.4717	LR: 0.020000
Training Epoch: 28 [11264/47500]	Loss: 0.5647	LR: 0.020000
Training Epoch: 28 [11520/47500]	Loss: 0.5247	LR: 0.020000
Training Epoch: 28 [11776/47500]	Loss: 0.4426	LR: 0.020000
Training Epoch: 28 [12032/47500]	Loss: 0.4764	LR: 0.020000
Training Epoch: 28 [12288/47500]	Loss: 0.4239	LR: 0.020000
Training Epoch: 28 [12544/47500]	Loss: 0.6090	LR: 0.020000
Training Epoch: 28 [12800/47500]	Loss: 0.5076	LR: 0.020000
Training Epoch: 28 [13056/47500]	Loss: 0.4674	LR: 0.020000
Training Epoch: 28 [13312/47500]	Loss: 0.5167	LR: 0.020000
Training Epoch: 28 [13568/47500]	Loss: 0.4893	LR: 0.020000
Training Epoch: 28 [13824/47500]	Loss: 0.6269	LR: 0.020000
Training Epoch: 28 [14080/47500]	Loss: 0.5021	LR: 0.020000
Training Epoch: 28 [14336/47500]	Loss: 0.4882	LR: 0.020000
Training Epoch: 28 [14592/47500]	Loss: 0.4726	LR: 0.020000
Training Epoch: 28 [14848/47500]	Loss: 0.5002	LR: 0.020000
Training Epoch: 28 [15104/47500]	Loss: 0.4816	LR: 0.020000
Training Epoch: 28 [15360/47500]	Loss: 0.5643	LR: 0.020000
Training Epoch: 28 [15616/47500]	Loss: 0.4888	LR: 0.020000
Training Epoch: 28 [15872/47500]	Loss: 0.5810	LR: 0.020000
Training Epoch: 28 [16128/47500]	Loss: 0.5252	LR: 0.020000
Training Epoch: 28 [16384/47500]	Loss: 0.5537	LR: 0.020000
Training Epoch: 28 [16640/47500]	Loss: 0.6745	LR: 0.020000
Training Epoch: 28 [16896/47500]	Loss: 0.5338	LR: 0.020000
Training Epoch: 28 [17152/47500]	Loss: 0.4105	LR: 0.020000
Training Epoch: 28 [17408/47500]	Loss: 0.4950	LR: 0.020000
Training Epoch: 28 [17664/47500]	Loss: 0.3914	LR: 0.020000
Training Epoch: 28 [17920/47500]	Loss: 0.6134	LR: 0.020000
Training Epoch: 28 [18176/47500]	Loss: 0.4436	LR: 0.020000
Training Epoch: 28 [18432/47500]	Loss: 0.5137	LR: 0.020000
Training Epoch: 28 [18688/47500]	Loss: 0.5006	LR: 0.020000
Training Epoch: 28 [18944/47500]	Loss: 0.5472	LR: 0.020000
Training Epoch: 28 [19200/47500]	Loss: 0.5330	LR: 0.020000
Training Epoch: 28 [19456/47500]	Loss: 0.4350	LR: 0.020000
Training Epoch: 28 [19712/47500]	Loss: 0.5014	LR: 0.020000
Training Epoch: 28 [19968/47500]	Loss: 0.4703	LR: 0.020000
Training Epoch: 28 [20224/47500]	Loss: 0.4987	LR: 0.020000
Training Epoch: 28 [20480/47500]	Loss: 0.6008	LR: 0.020000
Training Epoch: 28 [20736/47500]	Loss: 0.5639	LR: 0.020000
Training Epoch: 28 [20992/47500]	Loss: 0.5092	LR: 0.020000
Training Epoch: 28 [21248/47500]	Loss: 0.4755	LR: 0.020000
Training Epoch: 28 [21504/47500]	Loss: 0.4949	LR: 0.020000
Training Epoch: 28 [21760/47500]	Loss: 0.4730	LR: 0.020000
Training Epoch: 28 [22016/47500]	Loss: 0.5437	LR: 0.020000
Training Epoch: 28 [22272/47500]	Loss: 0.4501	LR: 0.020000
Training Epoch: 28 [22528/47500]	Loss: 0.5679	LR: 0.020000
Training Epoch: 28 [22784/47500]	Loss: 0.4288	LR: 0.020000
Training Epoch: 28 [23040/47500]	Loss: 0.5137	LR: 0.020000
Training Epoch: 28 [23296/47500]	Loss: 0.5955	LR: 0.020000
Training Epoch: 28 [23552/47500]	Loss: 0.4986	LR: 0.020000
Training Epoch: 28 [23808/47500]	Loss: 0.5818	LR: 0.020000
Training Epoch: 28 [24064/47500]	Loss: 0.4695	LR: 0.020000
Training Epoch: 28 [24320/47500]	Loss: 0.5576	LR: 0.020000
Training Epoch: 28 [24576/47500]	Loss: 0.4886	LR: 0.020000
Training Epoch: 28 [24832/47500]	Loss: 0.4830	LR: 0.020000
Training Epoch: 28 [25088/47500]	Loss: 0.5211	LR: 0.020000
Training Epoch: 28 [25344/47500]	Loss: 0.5405	LR: 0.020000
Training Epoch: 28 [25600/47500]	Loss: 0.4982	LR: 0.020000
Training Epoch: 28 [25856/47500]	Loss: 0.5877	LR: 0.020000
Training Epoch: 28 [26112/47500]	Loss: 0.4539	LR: 0.020000
Training Epoch: 28 [26368/47500]	Loss: 0.5318	LR: 0.020000
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Training Epoch: 28 [27136/47500]	Loss: 0.5270	LR: 0.020000
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Training Epoch: 28 [27648/47500]	Loss: 0.5324	LR: 0.020000
Training Epoch: 28 [27904/47500]	Loss: 0.5073	LR: 0.020000
Training Epoch: 28 [28160/47500]	Loss: 0.5763	LR: 0.020000
Training Epoch: 28 [28416/47500]	Loss: 0.6558	LR: 0.020000
Training Epoch: 28 [28672/47500]	Loss: 0.5778	LR: 0.020000
Training Epoch: 28 [28928/47500]	Loss: 0.5139	LR: 0.020000
Training Epoch: 28 [29184/47500]	Loss: 0.4163	LR: 0.020000
Training Epoch: 28 [29440/47500]	Loss: 0.5030	LR: 0.020000
Training Epoch: 28 [29696/47500]	Loss: 0.5269	LR: 0.020000
Training Epoch: 28 [29952/47500]	Loss: 0.4950	LR: 0.020000
Training Epoch: 28 [30208/47500]	Loss: 0.5575	LR: 0.020000
Training Epoch: 28 [30464/47500]	Loss: 0.5962	LR: 0.020000
Training Epoch: 28 [30720/47500]	Loss: 0.6612	LR: 0.020000
Training Epoch: 28 [30976/47500]	Loss: 0.4868	LR: 0.020000
Training Epoch: 28 [31232/47500]	Loss: 0.5400	LR: 0.020000
Training Epoch: 28 [31488/47500]	Loss: 0.5535	LR: 0.020000
Training Epoch: 28 [31744/47500]	Loss: 0.4879	LR: 0.020000
Training Epoch: 28 [32000/47500]	Loss: 0.6382	LR: 0.020000
Training Epoch: 28 [32256/47500]	Loss: 0.5947	LR: 0.020000
Training Epoch: 28 [32512/47500]	Loss: 0.4933	LR: 0.020000
Training Epoch: 28 [32768/47500]	Loss: 0.4867	LR: 0.020000
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Training Epoch: 28 [35584/47500]	Loss: 0.5114	LR: 0.020000
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Training Epoch: 28 [37120/47500]	Loss: 0.5278	LR: 0.020000
Training Epoch: 28 [37376/47500]	Loss: 0.5265	LR: 0.020000
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Training Epoch: 28 [37888/47500]	Loss: 0.6118	LR: 0.020000
Training Epoch: 28 [38144/47500]	Loss: 0.5815	LR: 0.020000
Training Epoch: 28 [38400/47500]	Loss: 0.5221	LR: 0.020000
Training Epoch: 28 [38656/47500]	Loss: 0.5870	LR: 0.020000
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Training Epoch: 28 [39168/47500]	Loss: 0.4971	LR: 0.020000
Training Epoch: 28 [39424/47500]	Loss: 0.5249	LR: 0.020000
Training Epoch: 28 [39680/47500]	Loss: 0.4840	LR: 0.020000
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Training Epoch: 28 [40960/47500]	Loss: 0.5474	LR: 0.020000
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Training Epoch: 28 [41472/47500]	Loss: 0.5790	LR: 0.020000
Training Epoch: 28 [41728/47500]	Loss: 0.4924	LR: 0.020000
Training Epoch: 28 [41984/47500]	Loss: 0.5038	LR: 0.020000
Training Epoch: 28 [42240/47500]	Loss: 0.5163	LR: 0.020000
Training Epoch: 28 [42496/47500]	Loss: 0.5878	LR: 0.020000
Training Epoch: 28 [42752/47500]	Loss: 0.5948	LR: 0.020000
Training Epoch: 28 [43008/47500]	Loss: 0.5685	LR: 0.020000
Training Epoch: 28 [43264/47500]	Loss: 0.5071	LR: 0.020000
Training Epoch: 28 [43520/47500]	Loss: 0.7027	LR: 0.020000
Training Epoch: 28 [43776/47500]	Loss: 0.6297	LR: 0.020000
Training Epoch: 28 [44032/47500]	Loss: 0.5059	LR: 0.020000
Training Epoch: 28 [44288/47500]	Loss: 0.5727	LR: 0.020000
Training Epoch: 28 [44544/47500]	Loss: 0.5399	LR: 0.020000
Training Epoch: 28 [44800/47500]	Loss: 0.5404	LR: 0.020000
Training Epoch: 28 [45056/47500]	Loss: 0.5651	LR: 0.020000
Training Epoch: 28 [45312/47500]	Loss: 0.4756	LR: 0.020000
Training Epoch: 28 [45568/47500]	Loss: 0.4992	LR: 0.020000
Training Epoch: 28 [45824/47500]	Loss: 0.5976	LR: 0.020000
Training Epoch: 28 [46080/47500]	Loss: 0.5468	LR: 0.020000
Training Epoch: 28 [46336/47500]	Loss: 0.5648	LR: 0.020000
Training Epoch: 28 [46592/47500]	Loss: 0.4943	LR: 0.020000
Training Epoch: 28 [46848/47500]	Loss: 0.5306	LR: 0.020000
Training Epoch: 28 [47104/47500]	Loss: 0.6437	LR: 0.020000
Training Epoch: 28 [47360/47500]	Loss: 0.5458	LR: 0.020000
Training Epoch: 28 [47500/47500]	Loss: 0.5825	LR: 0.020000
Epoch 28 - Average Train Loss: 0.5222, Train Accuracy: 0.8289
Epoch 28 training time consumed: 26.13s
Evaluating Network.....
Test set: Epoch: 28, Average loss: 0.0037, Accuracy: 0.7448, Time consumed:0.92s
Training Epoch: 29 [256/47500]	Loss: 0.4424	LR: 0.020000
Training Epoch: 29 [512/47500]	Loss: 0.4641	LR: 0.020000
Training Epoch: 29 [768/47500]	Loss: 0.4533	LR: 0.020000
Training Epoch: 29 [1024/47500]	Loss: 0.4267	LR: 0.020000
Training Epoch: 29 [1280/47500]	Loss: 0.5670	LR: 0.020000
Training Epoch: 29 [1536/47500]	Loss: 0.5119	LR: 0.020000
Training Epoch: 29 [1792/47500]	Loss: 0.3656	LR: 0.020000
Training Epoch: 29 [2048/47500]	Loss: 0.4005	LR: 0.020000
Training Epoch: 29 [2304/47500]	Loss: 0.4006	LR: 0.020000
Training Epoch: 29 [2560/47500]	Loss: 0.4217	LR: 0.020000
Training Epoch: 29 [2816/47500]	Loss: 0.5384	LR: 0.020000
Training Epoch: 29 [3072/47500]	Loss: 0.5939	LR: 0.020000
Training Epoch: 29 [3328/47500]	Loss: 0.4572	LR: 0.020000
Training Epoch: 29 [3584/47500]	Loss: 0.3471	LR: 0.020000
Training Epoch: 29 [3840/47500]	Loss: 0.4609	LR: 0.020000
Training Epoch: 29 [4096/47500]	Loss: 0.5793	LR: 0.020000
Training Epoch: 29 [4352/47500]	Loss: 0.5073	LR: 0.020000
Training Epoch: 29 [4608/47500]	Loss: 0.5467	LR: 0.020000
Training Epoch: 29 [4864/47500]	Loss: 0.4988	LR: 0.020000
Training Epoch: 29 [5120/47500]	Loss: 0.4744	LR: 0.020000
Training Epoch: 29 [5376/47500]	Loss: 0.4815	LR: 0.020000
Training Epoch: 29 [5632/47500]	Loss: 0.4776	LR: 0.020000
Training Epoch: 29 [5888/47500]	Loss: 0.4002	LR: 0.020000
Training Epoch: 29 [6144/47500]	Loss: 0.6110	LR: 0.020000
Training Epoch: 29 [6400/47500]	Loss: 0.6367	LR: 0.020000
Training Epoch: 29 [6656/47500]	Loss: 0.3832	LR: 0.020000
Training Epoch: 29 [6912/47500]	Loss: 0.4624	LR: 0.020000
Training Epoch: 29 [7168/47500]	Loss: 0.5388	LR: 0.020000
Training Epoch: 29 [7424/47500]	Loss: 0.5185	LR: 0.020000
Training Epoch: 29 [7680/47500]	Loss: 0.4433	LR: 0.020000
Training Epoch: 29 [7936/47500]	Loss: 0.5141	LR: 0.020000
Training Epoch: 29 [8192/47500]	Loss: 0.4509	LR: 0.020000
Training Epoch: 29 [8448/47500]	Loss: 0.5198	LR: 0.020000
Training Epoch: 29 [8704/47500]	Loss: 0.5118	LR: 0.020000
Training Epoch: 29 [8960/47500]	Loss: 0.4693	LR: 0.020000
Training Epoch: 29 [9216/47500]	Loss: 0.4480	LR: 0.020000
Training Epoch: 29 [9472/47500]	Loss: 0.5502	LR: 0.020000
Training Epoch: 29 [9728/47500]	Loss: 0.4965	LR: 0.020000
Training Epoch: 29 [9984/47500]	Loss: 0.4024	LR: 0.020000
Training Epoch: 29 [10240/47500]	Loss: 0.5145	LR: 0.020000
Training Epoch: 29 [10496/47500]	Loss: 0.4818	LR: 0.020000
Training Epoch: 29 [10752/47500]	Loss: 0.5057	LR: 0.020000
Training Epoch: 29 [11008/47500]	Loss: 0.5196	LR: 0.020000
Training Epoch: 29 [11264/47500]	Loss: 0.5387	LR: 0.020000
Training Epoch: 29 [11520/47500]	Loss: 0.4486	LR: 0.020000
Training Epoch: 29 [11776/47500]	Loss: 0.4395	LR: 0.020000
Training Epoch: 29 [12032/47500]	Loss: 0.6311	LR: 0.020000
Training Epoch: 29 [12288/47500]	Loss: 0.5071	LR: 0.020000
Training Epoch: 29 [12544/47500]	Loss: 0.4442	LR: 0.020000
Training Epoch: 29 [12800/47500]	Loss: 0.5332	LR: 0.020000
Training Epoch: 29 [13056/47500]	Loss: 0.4307	LR: 0.020000
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Training Epoch: 29 [13568/47500]	Loss: 0.4549	LR: 0.020000
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Training Epoch: 29 [15104/47500]	Loss: 0.5093	LR: 0.020000
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Training Epoch: 29 [15616/47500]	Loss: 0.4613	LR: 0.020000
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Training Epoch: 29 [16384/47500]	Loss: 0.5904	LR: 0.020000
Training Epoch: 29 [16640/47500]	Loss: 0.4027	LR: 0.020000
Training Epoch: 29 [16896/47500]	Loss: 0.5190	LR: 0.020000
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Training Epoch: 29 [18432/47500]	Loss: 0.5040	LR: 0.020000
Training Epoch: 29 [18688/47500]	Loss: 0.4532	LR: 0.020000
Training Epoch: 29 [18944/47500]	Loss: 0.7083	LR: 0.020000
Training Epoch: 29 [19200/47500]	Loss: 0.5089	LR: 0.020000
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Training Epoch: 29 [19712/47500]	Loss: 0.6156	LR: 0.020000
Training Epoch: 29 [19968/47500]	Loss: 0.4486	LR: 0.020000
Training Epoch: 29 [20224/47500]	Loss: 0.4493	LR: 0.020000
Training Epoch: 29 [20480/47500]	Loss: 0.5126	LR: 0.020000
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Training Epoch: 29 [22016/47500]	Loss: 0.4997	LR: 0.020000
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Training Epoch: 29 [22528/47500]	Loss: 0.5466	LR: 0.020000
Training Epoch: 29 [22784/47500]	Loss: 0.4996	LR: 0.020000
Training Epoch: 29 [23040/47500]	Loss: 0.4076	LR: 0.020000
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Training Epoch: 29 [26368/47500]	Loss: 0.4995	LR: 0.020000
Training Epoch: 29 [26624/47500]	Loss: 0.5220	LR: 0.020000
Training Epoch: 29 [26880/47500]	Loss: 0.4776	LR: 0.020000
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Training Epoch: 29 [27904/47500]	Loss: 0.5079	LR: 0.020000
Training Epoch: 29 [28160/47500]	Loss: 0.5281	LR: 0.020000
Training Epoch: 29 [28416/47500]	Loss: 0.5429	LR: 0.020000
Training Epoch: 29 [28672/47500]	Loss: 0.5170	LR: 0.020000
Training Epoch: 29 [28928/47500]	Loss: 0.4486	LR: 0.020000
Training Epoch: 29 [29184/47500]	Loss: 0.5036	LR: 0.020000
Training Epoch: 29 [29440/47500]	Loss: 0.5142	LR: 0.020000
Training Epoch: 29 [29696/47500]	Loss: 0.4918	LR: 0.020000
Training Epoch: 29 [29952/47500]	Loss: 0.5558	LR: 0.020000
Training Epoch: 29 [30208/47500]	Loss: 0.5224	LR: 0.020000
Training Epoch: 29 [30464/47500]	Loss: 0.5006	LR: 0.020000
Training Epoch: 29 [30720/47500]	Loss: 0.5696	LR: 0.020000
Training Epoch: 29 [30976/47500]	Loss: 0.6188	LR: 0.020000
Training Epoch: 29 [31232/47500]	Loss: 0.5590	LR: 0.020000
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Training Epoch: 29 [31744/47500]	Loss: 0.5388	LR: 0.020000
Training Epoch: 29 [32000/47500]	Loss: 0.5628	LR: 0.020000
Training Epoch: 29 [32256/47500]	Loss: 0.5053	LR: 0.020000
Training Epoch: 29 [32512/47500]	Loss: 0.4665	LR: 0.020000
Training Epoch: 29 [32768/47500]	Loss: 0.4667	LR: 0.020000
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Training Epoch: 29 [35072/47500]	Loss: 0.4473	LR: 0.020000
Training Epoch: 29 [35328/47500]	Loss: 0.6138	LR: 0.020000
Training Epoch: 29 [35584/47500]	Loss: 0.5181	LR: 0.020000
Training Epoch: 29 [35840/47500]	Loss: 0.4227	LR: 0.020000
Training Epoch: 29 [36096/47500]	Loss: 0.5454	LR: 0.020000
Training Epoch: 29 [36352/47500]	Loss: 0.4929	LR: 0.020000
Training Epoch: 29 [36608/47500]	Loss: 0.6039	LR: 0.020000
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Training Epoch: 29 [37120/47500]	Loss: 0.5592	LR: 0.020000
Training Epoch: 29 [37376/47500]	Loss: 0.4577	LR: 0.020000
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Training Epoch: 29 [37888/47500]	Loss: 0.5330	LR: 0.020000
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Training Epoch: 29 [38656/47500]	Loss: 0.6036	LR: 0.020000
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Training Epoch: 29 [39936/47500]	Loss: 0.5637	LR: 0.020000
Training Epoch: 29 [40192/47500]	Loss: 0.5702	LR: 0.020000
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Training Epoch: 29 [41728/47500]	Loss: 0.5510	LR: 0.020000
Training Epoch: 29 [41984/47500]	Loss: 0.4698	LR: 0.020000
Training Epoch: 29 [42240/47500]	Loss: 0.5729	LR: 0.020000
Training Epoch: 29 [42496/47500]	Loss: 0.4916	LR: 0.020000
Training Epoch: 29 [42752/47500]	Loss: 0.5218	LR: 0.020000
Training Epoch: 29 [43008/47500]	Loss: 0.5002	LR: 0.020000
Training Epoch: 29 [43264/47500]	Loss: 0.5829	LR: 0.020000
Training Epoch: 29 [43520/47500]	Loss: 0.4873	LR: 0.020000
Training Epoch: 29 [43776/47500]	Loss: 0.5168	LR: 0.020000
Training Epoch: 29 [44032/47500]	Loss: 0.5348	LR: 0.020000
Training Epoch: 29 [44288/47500]	Loss: 0.5350	LR: 0.020000
Training Epoch: 29 [44544/47500]	Loss: 0.5553	LR: 0.020000
Training Epoch: 29 [44800/47500]	Loss: 0.4892	LR: 0.020000
Training Epoch: 29 [45056/47500]	Loss: 0.4459	LR: 0.020000
Training Epoch: 29 [45312/47500]	Loss: 0.4982	LR: 0.020000
Training Epoch: 29 [45568/47500]	Loss: 0.5297	LR: 0.020000
Training Epoch: 29 [45824/47500]	Loss: 0.5875	LR: 0.020000
Training Epoch: 29 [46080/47500]	Loss: 0.5104	LR: 0.020000
Training Epoch: 29 [46336/47500]	Loss: 0.5305	LR: 0.020000
Training Epoch: 29 [46592/47500]	Loss: 0.5599	LR: 0.020000
Training Epoch: 29 [46848/47500]	Loss: 0.4701	LR: 0.020000
Training Epoch: 29 [47104/47500]	Loss: 0.4601	LR: 0.020000
Training Epoch: 29 [47360/47500]	Loss: 0.5171	LR: 0.020000
Training Epoch: 29 [47500/47500]	Loss: 0.5773	LR: 0.020000
Epoch 29 - Average Train Loss: 0.5077, Train Accuracy: 0.8352
Epoch 29 training time consumed: 26.07s
Evaluating Network.....
Test set: Epoch: 29, Average loss: 0.0038, Accuracy: 0.7248, Time consumed:0.93s
Training Epoch: 30 [256/47500]	Loss: 0.4704	LR: 0.004000
Training Epoch: 30 [512/47500]	Loss: 0.4356	LR: 0.004000
Training Epoch: 30 [768/47500]	Loss: 0.4500	LR: 0.004000
Training Epoch: 30 [1024/47500]	Loss: 0.4355	LR: 0.004000
Training Epoch: 30 [1280/47500]	Loss: 0.4713	LR: 0.004000
Training Epoch: 30 [1536/47500]	Loss: 0.4942	LR: 0.004000
Training Epoch: 30 [1792/47500]	Loss: 0.3438	LR: 0.004000
Training Epoch: 30 [2048/47500]	Loss: 0.4477	LR: 0.004000
Training Epoch: 30 [2304/47500]	Loss: 0.4645	LR: 0.004000
Training Epoch: 30 [2560/47500]	Loss: 0.4627	LR: 0.004000
Training Epoch: 30 [2816/47500]	Loss: 0.5230	LR: 0.004000
Training Epoch: 30 [3072/47500]	Loss: 0.5048	LR: 0.004000
Training Epoch: 30 [3328/47500]	Loss: 0.3863	LR: 0.004000
Training Epoch: 30 [3584/47500]	Loss: 0.4727	LR: 0.004000
Training Epoch: 30 [3840/47500]	Loss: 0.4978	LR: 0.004000
Training Epoch: 30 [4096/47500]	Loss: 0.3780	LR: 0.004000
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Training Epoch: 30 [47500/47500]	Loss: 0.3740	LR: 0.004000
Epoch 30 - Average Train Loss: 0.3919, Train Accuracy: 0.8765
Epoch 30 training time consumed: 26.35s
Evaluating Network.....
Test set: Epoch: 30, Average loss: 0.0029, Accuracy: 0.7826, Time consumed:0.98s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_21h_50m_11s/AllCNN-Cifar20-seed5-ret50-30-best.pth
Training Epoch: 31 [256/47500]	Loss: 0.3154	LR: 0.004000
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Training Epoch: 31 [44288/47500]	Loss: 0.3165	LR: 0.004000
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Training Epoch: 31 [45056/47500]	Loss: 0.3631	LR: 0.004000
Training Epoch: 31 [45312/47500]	Loss: 0.3506	LR: 0.004000
Training Epoch: 31 [45568/47500]	Loss: 0.2848	LR: 0.004000
Training Epoch: 31 [45824/47500]	Loss: 0.3928	LR: 0.004000
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Training Epoch: 31 [46336/47500]	Loss: 0.2958	LR: 0.004000
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Training Epoch: 31 [47360/47500]	Loss: 0.3245	LR: 0.004000
Training Epoch: 31 [47500/47500]	Loss: 0.3652	LR: 0.004000
Epoch 31 - Average Train Loss: 0.3545, Train Accuracy: 0.8914
Epoch 31 training time consumed: 26.04s
Evaluating Network.....
Test set: Epoch: 31, Average loss: 0.0030, Accuracy: 0.7816, Time consumed:0.88s
Training Epoch: 32 [256/47500]	Loss: 0.3784	LR: 0.004000
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Training Epoch: 32 [1536/47500]	Loss: 0.3794	LR: 0.004000
Training Epoch: 32 [1792/47500]	Loss: 0.3344	LR: 0.004000
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Training Epoch: 32 [46592/47500]	Loss: 0.3381	LR: 0.004000
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Training Epoch: 32 [47360/47500]	Loss: 0.3221	LR: 0.004000
Training Epoch: 32 [47500/47500]	Loss: 0.4266	LR: 0.004000
Epoch 32 - Average Train Loss: 0.3411, Train Accuracy: 0.8950
Epoch 32 training time consumed: 26.01s
Evaluating Network.....
Test set: Epoch: 32, Average loss: 0.0029, Accuracy: 0.7852, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_21h_50m_11s/AllCNN-Cifar20-seed5-ret50-32-best.pth
Training Epoch: 33 [256/47500]	Loss: 0.2673	LR: 0.004000
Training Epoch: 33 [512/47500]	Loss: 0.3467	LR: 0.004000
Training Epoch: 33 [768/47500]	Loss: 0.3223	LR: 0.004000
Training Epoch: 33 [1024/47500]	Loss: 0.3485	LR: 0.004000
Training Epoch: 33 [1280/47500]	Loss: 0.3351	LR: 0.004000
Training Epoch: 33 [1536/47500]	Loss: 0.2661	LR: 0.004000
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Training Epoch: 33 [6656/47500]	Loss: 0.2561	LR: 0.004000
Training Epoch: 33 [6912/47500]	Loss: 0.2860	LR: 0.004000
Training Epoch: 33 [7168/47500]	Loss: 0.3506	LR: 0.004000
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Training Epoch: 33 [7680/47500]	Loss: 0.3430	LR: 0.004000
Training Epoch: 33 [7936/47500]	Loss: 0.3210	LR: 0.004000
Training Epoch: 33 [8192/47500]	Loss: 0.3176	LR: 0.004000
Training Epoch: 33 [8448/47500]	Loss: 0.3528	LR: 0.004000
Training Epoch: 33 [8704/47500]	Loss: 0.3414	LR: 0.004000
Training Epoch: 33 [8960/47500]	Loss: 0.2982	LR: 0.004000
Training Epoch: 33 [9216/47500]	Loss: 0.2821	LR: 0.004000
Training Epoch: 33 [9472/47500]	Loss: 0.3454	LR: 0.004000
Training Epoch: 33 [9728/47500]	Loss: 0.3263	LR: 0.004000
Training Epoch: 33 [9984/47500]	Loss: 0.3858	LR: 0.004000
Training Epoch: 33 [10240/47500]	Loss: 0.2922	LR: 0.004000
Training Epoch: 33 [10496/47500]	Loss: 0.2965	LR: 0.004000
Training Epoch: 33 [10752/47500]	Loss: 0.3840	LR: 0.004000
Training Epoch: 33 [11008/47500]	Loss: 0.3029	LR: 0.004000
Training Epoch: 33 [11264/47500]	Loss: 0.3722	LR: 0.004000
Training Epoch: 33 [11520/47500]	Loss: 0.3620	LR: 0.004000
Training Epoch: 33 [11776/47500]	Loss: 0.3325	LR: 0.004000
Training Epoch: 33 [12032/47500]	Loss: 0.3075	LR: 0.004000
Training Epoch: 33 [12288/47500]	Loss: 0.3328	LR: 0.004000
Training Epoch: 33 [12544/47500]	Loss: 0.2975	LR: 0.004000
Training Epoch: 33 [12800/47500]	Loss: 0.2592	LR: 0.004000
Training Epoch: 33 [13056/47500]	Loss: 0.3426	LR: 0.004000
Training Epoch: 33 [13312/47500]	Loss: 0.3157	LR: 0.004000
Training Epoch: 33 [13568/47500]	Loss: 0.3548	LR: 0.004000
Training Epoch: 33 [13824/47500]	Loss: 0.4517	LR: 0.004000
Training Epoch: 33 [14080/47500]	Loss: 0.4337	LR: 0.004000
Training Epoch: 33 [14336/47500]	Loss: 0.2754	LR: 0.004000
Training Epoch: 33 [14592/47500]	Loss: 0.3423	LR: 0.004000
Training Epoch: 33 [14848/47500]	Loss: 0.3560	LR: 0.004000
Training Epoch: 33 [15104/47500]	Loss: 0.3027	LR: 0.004000
Training Epoch: 33 [15360/47500]	Loss: 0.3616	LR: 0.004000
Training Epoch: 33 [15616/47500]	Loss: 0.3462	LR: 0.004000
Training Epoch: 33 [15872/47500]	Loss: 0.3415	LR: 0.004000
Training Epoch: 33 [16128/47500]	Loss: 0.3344	LR: 0.004000
Training Epoch: 33 [16384/47500]	Loss: 0.3382	LR: 0.004000
Training Epoch: 33 [16640/47500]	Loss: 0.4126	LR: 0.004000
Training Epoch: 33 [16896/47500]	Loss: 0.2435	LR: 0.004000
Training Epoch: 33 [17152/47500]	Loss: 0.3639	LR: 0.004000
Training Epoch: 33 [17408/47500]	Loss: 0.2960	LR: 0.004000
Training Epoch: 33 [17664/47500]	Loss: 0.3386	LR: 0.004000
Training Epoch: 33 [17920/47500]	Loss: 0.2626	LR: 0.004000
Training Epoch: 33 [18176/47500]	Loss: 0.3147	LR: 0.004000
Training Epoch: 33 [18432/47500]	Loss: 0.4420	LR: 0.004000
Training Epoch: 33 [18688/47500]	Loss: 0.2300	LR: 0.004000
Training Epoch: 33 [18944/47500]	Loss: 0.3301	LR: 0.004000
Training Epoch: 33 [19200/47500]	Loss: 0.3013	LR: 0.004000
Training Epoch: 33 [19456/47500]	Loss: 0.3300	LR: 0.004000
Training Epoch: 33 [19712/47500]	Loss: 0.3443	LR: 0.004000
Training Epoch: 33 [19968/47500]	Loss: 0.4084	LR: 0.004000
Training Epoch: 33 [20224/47500]	Loss: 0.3078	LR: 0.004000
Training Epoch: 33 [20480/47500]	Loss: 0.3722	LR: 0.004000
Training Epoch: 33 [20736/47500]	Loss: 0.2491	LR: 0.004000
Training Epoch: 33 [20992/47500]	Loss: 0.3355	LR: 0.004000
Training Epoch: 33 [21248/47500]	Loss: 0.2872	LR: 0.004000
Training Epoch: 33 [21504/47500]	Loss: 0.3843	LR: 0.004000
Training Epoch: 33 [21760/47500]	Loss: 0.2844	LR: 0.004000
Training Epoch: 33 [22016/47500]	Loss: 0.3694	LR: 0.004000
Training Epoch: 33 [22272/47500]	Loss: 0.2875	LR: 0.004000
Training Epoch: 33 [22528/47500]	Loss: 0.3173	LR: 0.004000
Training Epoch: 33 [22784/47500]	Loss: 0.3230	LR: 0.004000
Training Epoch: 33 [23040/47500]	Loss: 0.3373	LR: 0.004000
Training Epoch: 33 [23296/47500]	Loss: 0.3049	LR: 0.004000
Training Epoch: 33 [23552/47500]	Loss: 0.3388	LR: 0.004000
Training Epoch: 33 [23808/47500]	Loss: 0.3433	LR: 0.004000
Training Epoch: 33 [24064/47500]	Loss: 0.2775	LR: 0.004000
Training Epoch: 33 [24320/47500]	Loss: 0.2772	LR: 0.004000
Training Epoch: 33 [24576/47500]	Loss: 0.3200	LR: 0.004000
Training Epoch: 33 [24832/47500]	Loss: 0.2985	LR: 0.004000
Training Epoch: 33 [25088/47500]	Loss: 0.3523	LR: 0.004000
Training Epoch: 33 [25344/47500]	Loss: 0.3177	LR: 0.004000
Training Epoch: 33 [25600/47500]	Loss: 0.3326	LR: 0.004000
Training Epoch: 33 [25856/47500]	Loss: 0.3017	LR: 0.004000
Training Epoch: 33 [26112/47500]	Loss: 0.3720	LR: 0.004000
Training Epoch: 33 [26368/47500]	Loss: 0.3812	LR: 0.004000
Training Epoch: 33 [26624/47500]	Loss: 0.3072	LR: 0.004000
Training Epoch: 33 [26880/47500]	Loss: 0.3262	LR: 0.004000
Training Epoch: 33 [27136/47500]	Loss: 0.3173	LR: 0.004000
Training Epoch: 33 [27392/47500]	Loss: 0.3298	LR: 0.004000
Training Epoch: 33 [27648/47500]	Loss: 0.2981	LR: 0.004000
Training Epoch: 33 [27904/47500]	Loss: 0.3128	LR: 0.004000
Training Epoch: 33 [28160/47500]	Loss: 0.3097	LR: 0.004000
Training Epoch: 33 [28416/47500]	Loss: 0.3171	LR: 0.004000
Training Epoch: 33 [28672/47500]	Loss: 0.3257	LR: 0.004000
Training Epoch: 33 [28928/47500]	Loss: 0.4807	LR: 0.004000
Training Epoch: 33 [29184/47500]	Loss: 0.3752	LR: 0.004000
Training Epoch: 33 [29440/47500]	Loss: 0.3258	LR: 0.004000
Training Epoch: 33 [29696/47500]	Loss: 0.3809	LR: 0.004000
Training Epoch: 33 [29952/47500]	Loss: 0.3122	LR: 0.004000
Training Epoch: 33 [30208/47500]	Loss: 0.3002	LR: 0.004000
Training Epoch: 33 [30464/47500]	Loss: 0.2991	LR: 0.004000
Training Epoch: 33 [30720/47500]	Loss: 0.3311	LR: 0.004000
Training Epoch: 33 [30976/47500]	Loss: 0.3702	LR: 0.004000
Training Epoch: 33 [31232/47500]	Loss: 0.3133	LR: 0.004000
Training Epoch: 33 [31488/47500]	Loss: 0.3530	LR: 0.004000
Training Epoch: 33 [31744/47500]	Loss: 0.3369	LR: 0.004000
Training Epoch: 33 [32000/47500]	Loss: 0.2948	LR: 0.004000
Training Epoch: 33 [32256/47500]	Loss: 0.3488	LR: 0.004000
Training Epoch: 33 [32512/47500]	Loss: 0.3970	LR: 0.004000
Training Epoch: 33 [32768/47500]	Loss: 0.3475	LR: 0.004000
Training Epoch: 33 [33024/47500]	Loss: 0.3113	LR: 0.004000
Training Epoch: 33 [33280/47500]	Loss: 0.3618	LR: 0.004000
Training Epoch: 33 [33536/47500]	Loss: 0.2778	LR: 0.004000
Training Epoch: 33 [33792/47500]	Loss: 0.3028	LR: 0.004000
Training Epoch: 33 [34048/47500]	Loss: 0.3046	LR: 0.004000
Training Epoch: 33 [34304/47500]	Loss: 0.2891	LR: 0.004000
Training Epoch: 33 [34560/47500]	Loss: 0.3417	LR: 0.004000
Training Epoch: 33 [34816/47500]	Loss: 0.3861	LR: 0.004000
Training Epoch: 33 [35072/47500]	Loss: 0.3485	LR: 0.004000
Training Epoch: 33 [35328/47500]	Loss: 0.3656	LR: 0.004000
Training Epoch: 33 [35584/47500]	Loss: 0.2716	LR: 0.004000
Training Epoch: 33 [35840/47500]	Loss: 0.3501	LR: 0.004000
Training Epoch: 33 [36096/47500]	Loss: 0.2741	LR: 0.004000
Training Epoch: 33 [36352/47500]	Loss: 0.3587	LR: 0.004000
Training Epoch: 33 [36608/47500]	Loss: 0.3697	LR: 0.004000
Training Epoch: 33 [36864/47500]	Loss: 0.3165	LR: 0.004000
Training Epoch: 33 [37120/47500]	Loss: 0.3459	LR: 0.004000
Training Epoch: 33 [37376/47500]	Loss: 0.3391	LR: 0.004000
Training Epoch: 33 [37632/47500]	Loss: 0.3270	LR: 0.004000
Training Epoch: 33 [37888/47500]	Loss: 0.4027	LR: 0.004000
Training Epoch: 33 [38144/47500]	Loss: 0.3547	LR: 0.004000
Training Epoch: 33 [38400/47500]	Loss: 0.2738	LR: 0.004000
Training Epoch: 33 [38656/47500]	Loss: 0.2828	LR: 0.004000
Training Epoch: 33 [38912/47500]	Loss: 0.3115	LR: 0.004000
Training Epoch: 33 [39168/47500]	Loss: 0.3877	LR: 0.004000
Training Epoch: 33 [39424/47500]	Loss: 0.3547	LR: 0.004000
Training Epoch: 33 [39680/47500]	Loss: 0.4108	LR: 0.004000
Training Epoch: 33 [39936/47500]	Loss: 0.3228	LR: 0.004000
Training Epoch: 33 [40192/47500]	Loss: 0.2851	LR: 0.004000
Training Epoch: 33 [40448/47500]	Loss: 0.4031	LR: 0.004000
Training Epoch: 33 [40704/47500]	Loss: 0.3341	LR: 0.004000
Training Epoch: 33 [40960/47500]	Loss: 0.3966	LR: 0.004000
Training Epoch: 33 [41216/47500]	Loss: 0.3290	LR: 0.004000
Training Epoch: 33 [41472/47500]	Loss: 0.3391	LR: 0.004000
Training Epoch: 33 [41728/47500]	Loss: 0.2670	LR: 0.004000
Training Epoch: 33 [41984/47500]	Loss: 0.3191	LR: 0.004000
Training Epoch: 33 [42240/47500]	Loss: 0.3337	LR: 0.004000
Training Epoch: 33 [42496/47500]	Loss: 0.2421	LR: 0.004000
Training Epoch: 33 [42752/47500]	Loss: 0.2750	LR: 0.004000
Training Epoch: 33 [43008/47500]	Loss: 0.3143	LR: 0.004000
Training Epoch: 33 [43264/47500]	Loss: 0.3301	LR: 0.004000
Training Epoch: 33 [43520/47500]	Loss: 0.3897	LR: 0.004000
Training Epoch: 33 [43776/47500]	Loss: 0.3310	LR: 0.004000
Training Epoch: 33 [44032/47500]	Loss: 0.2857	LR: 0.004000
Training Epoch: 33 [44288/47500]	Loss: 0.2929	LR: 0.004000
Training Epoch: 33 [44544/47500]	Loss: 0.3614	LR: 0.004000
Training Epoch: 33 [44800/47500]	Loss: 0.2965	LR: 0.004000
Training Epoch: 33 [45056/47500]	Loss: 0.4010	LR: 0.004000
Training Epoch: 33 [45312/47500]	Loss: 0.2811	LR: 0.004000
Training Epoch: 33 [45568/47500]	Loss: 0.3265	LR: 0.004000
Training Epoch: 33 [45824/47500]	Loss: 0.2942	LR: 0.004000
Training Epoch: 33 [46080/47500]	Loss: 0.3729	LR: 0.004000
Training Epoch: 33 [46336/47500]	Loss: 0.3802	LR: 0.004000
Training Epoch: 33 [46592/47500]	Loss: 0.2928	LR: 0.004000
Training Epoch: 33 [46848/47500]	Loss: 0.3485	LR: 0.004000
Training Epoch: 33 [47104/47500]	Loss: 0.3483	LR: 0.004000
Training Epoch: 33 [47360/47500]	Loss: 0.3274	LR: 0.004000
Training Epoch: 33 [47500/47500]	Loss: 0.2516	LR: 0.004000
Epoch 33 - Average Train Loss: 0.3300, Train Accuracy: 0.8985
Epoch 33 training time consumed: 26.12s
Evaluating Network.....
Test set: Epoch: 33, Average loss: 0.0030, Accuracy: 0.7821, Time consumed:0.89s
Training Epoch: 34 [256/47500]	Loss: 0.3490	LR: 0.004000
Training Epoch: 34 [512/47500]	Loss: 0.2923	LR: 0.004000
Training Epoch: 34 [768/47500]	Loss: 0.2791	LR: 0.004000
Training Epoch: 34 [1024/47500]	Loss: 0.3122	LR: 0.004000
Training Epoch: 34 [1280/47500]	Loss: 0.2942	LR: 0.004000
Training Epoch: 34 [1536/47500]	Loss: 0.2826	LR: 0.004000
Training Epoch: 34 [1792/47500]	Loss: 0.3325	LR: 0.004000
Training Epoch: 34 [2048/47500]	Loss: 0.2388	LR: 0.004000
Training Epoch: 34 [2304/47500]	Loss: 0.2755	LR: 0.004000
Training Epoch: 34 [2560/47500]	Loss: 0.2839	LR: 0.004000
Training Epoch: 34 [2816/47500]	Loss: 0.3059	LR: 0.004000
Training Epoch: 34 [3072/47500]	Loss: 0.2443	LR: 0.004000
Training Epoch: 34 [3328/47500]	Loss: 0.2409	LR: 0.004000
Training Epoch: 34 [3584/47500]	Loss: 0.3501	LR: 0.004000
Training Epoch: 34 [3840/47500]	Loss: 0.2603	LR: 0.004000
Training Epoch: 34 [4096/47500]	Loss: 0.3030	LR: 0.004000
Training Epoch: 34 [4352/47500]	Loss: 0.4335	LR: 0.004000
Training Epoch: 34 [4608/47500]	Loss: 0.3020	LR: 0.004000
Training Epoch: 34 [4864/47500]	Loss: 0.3321	LR: 0.004000
Training Epoch: 34 [5120/47500]	Loss: 0.3141	LR: 0.004000
Training Epoch: 34 [5376/47500]	Loss: 0.3675	LR: 0.004000
Training Epoch: 34 [5632/47500]	Loss: 0.3012	LR: 0.004000
Training Epoch: 34 [5888/47500]	Loss: 0.3571	LR: 0.004000
Training Epoch: 34 [6144/47500]	Loss: 0.3422	LR: 0.004000
Training Epoch: 34 [6400/47500]	Loss: 0.2540	LR: 0.004000
Training Epoch: 34 [6656/47500]	Loss: 0.3466	LR: 0.004000
Training Epoch: 34 [6912/47500]	Loss: 0.3154	LR: 0.004000
Training Epoch: 34 [7168/47500]	Loss: 0.3203	LR: 0.004000
Training Epoch: 34 [7424/47500]	Loss: 0.3850	LR: 0.004000
Training Epoch: 34 [7680/47500]	Loss: 0.3021	LR: 0.004000
Training Epoch: 34 [7936/47500]	Loss: 0.2902	LR: 0.004000
Training Epoch: 34 [8192/47500]	Loss: 0.3219	LR: 0.004000
Training Epoch: 34 [8448/47500]	Loss: 0.2816	LR: 0.004000
Training Epoch: 34 [8704/47500]	Loss: 0.2556	LR: 0.004000
Training Epoch: 34 [8960/47500]	Loss: 0.2774	LR: 0.004000
Training Epoch: 34 [9216/47500]	Loss: 0.2861	LR: 0.004000
Training Epoch: 34 [9472/47500]	Loss: 0.3533	LR: 0.004000
Training Epoch: 34 [9728/47500]	Loss: 0.2969	LR: 0.004000
Training Epoch: 34 [9984/47500]	Loss: 0.3535	LR: 0.004000
Training Epoch: 34 [10240/47500]	Loss: 0.2915	LR: 0.004000
Training Epoch: 34 [10496/47500]	Loss: 0.3244	LR: 0.004000
Training Epoch: 34 [10752/47500]	Loss: 0.3261	LR: 0.004000
Training Epoch: 34 [11008/47500]	Loss: 0.3782	LR: 0.004000
Training Epoch: 34 [11264/47500]	Loss: 0.3314	LR: 0.004000
Training Epoch: 34 [11520/47500]	Loss: 0.3265	LR: 0.004000
Training Epoch: 34 [11776/47500]	Loss: 0.3883	LR: 0.004000
Training Epoch: 34 [12032/47500]	Loss: 0.3052	LR: 0.004000
Training Epoch: 34 [12288/47500]	Loss: 0.3139	LR: 0.004000
Training Epoch: 34 [12544/47500]	Loss: 0.4097	LR: 0.004000
Training Epoch: 34 [12800/47500]	Loss: 0.3464	LR: 0.004000
Training Epoch: 34 [13056/47500]	Loss: 0.2974	LR: 0.004000
Training Epoch: 34 [13312/47500]	Loss: 0.3530	LR: 0.004000
Training Epoch: 34 [13568/47500]	Loss: 0.2816	LR: 0.004000
Training Epoch: 34 [13824/47500]	Loss: 0.3543	LR: 0.004000
Training Epoch: 34 [14080/47500]	Loss: 0.2867	LR: 0.004000
Training Epoch: 34 [14336/47500]	Loss: 0.3414	LR: 0.004000
Training Epoch: 34 [14592/47500]	Loss: 0.2556	LR: 0.004000
Training Epoch: 34 [14848/47500]	Loss: 0.2971	LR: 0.004000
Training Epoch: 34 [15104/47500]	Loss: 0.2996	LR: 0.004000
Training Epoch: 34 [15360/47500]	Loss: 0.2835	LR: 0.004000
Training Epoch: 34 [15616/47500]	Loss: 0.3368	LR: 0.004000
Training Epoch: 34 [15872/47500]	Loss: 0.3296	LR: 0.004000
Training Epoch: 34 [16128/47500]	Loss: 0.2856	LR: 0.004000
Training Epoch: 34 [16384/47500]	Loss: 0.3520	LR: 0.004000
Training Epoch: 34 [16640/47500]	Loss: 0.2971	LR: 0.004000
Training Epoch: 34 [16896/47500]	Loss: 0.2759	LR: 0.004000
Training Epoch: 34 [17152/47500]	Loss: 0.3587	LR: 0.004000
Training Epoch: 34 [17408/47500]	Loss: 0.3268	LR: 0.004000
Training Epoch: 34 [17664/47500]	Loss: 0.3008	LR: 0.004000
Training Epoch: 34 [17920/47500]	Loss: 0.3251	LR: 0.004000
Training Epoch: 34 [18176/47500]	Loss: 0.3455	LR: 0.004000
Training Epoch: 34 [18432/47500]	Loss: 0.3300	LR: 0.004000
Training Epoch: 34 [18688/47500]	Loss: 0.4006	LR: 0.004000
Training Epoch: 34 [18944/47500]	Loss: 0.2854	LR: 0.004000
Training Epoch: 34 [19200/47500]	Loss: 0.4089	LR: 0.004000
Training Epoch: 34 [19456/47500]	Loss: 0.3149	LR: 0.004000
Training Epoch: 34 [19712/47500]	Loss: 0.3365	LR: 0.004000
Training Epoch: 34 [19968/47500]	Loss: 0.3029	LR: 0.004000
Training Epoch: 34 [20224/47500]	Loss: 0.2839	LR: 0.004000
Training Epoch: 34 [20480/47500]	Loss: 0.2312	LR: 0.004000
Training Epoch: 34 [20736/47500]	Loss: 0.2408	LR: 0.004000
Training Epoch: 34 [20992/47500]	Loss: 0.3730	LR: 0.004000
Training Epoch: 34 [21248/47500]	Loss: 0.3133	LR: 0.004000
Training Epoch: 34 [21504/47500]	Loss: 0.2768	LR: 0.004000
Training Epoch: 34 [21760/47500]	Loss: 0.3072	LR: 0.004000
Training Epoch: 34 [22016/47500]	Loss: 0.2855	LR: 0.004000
Training Epoch: 34 [22272/47500]	Loss: 0.3748	LR: 0.004000
Training Epoch: 34 [22528/47500]	Loss: 0.3660	LR: 0.004000
Training Epoch: 34 [22784/47500]	Loss: 0.2602	LR: 0.004000
Training Epoch: 34 [23040/47500]	Loss: 0.3048	LR: 0.004000
Training Epoch: 34 [23296/47500]	Loss: 0.3479	LR: 0.004000
Training Epoch: 34 [23552/47500]	Loss: 0.2549	LR: 0.004000
Training Epoch: 34 [23808/47500]	Loss: 0.3747	LR: 0.004000
Training Epoch: 34 [24064/47500]	Loss: 0.3383	LR: 0.004000
Training Epoch: 34 [24320/47500]	Loss: 0.3617	LR: 0.004000
Training Epoch: 34 [24576/47500]	Loss: 0.2837	LR: 0.004000
Training Epoch: 34 [24832/47500]	Loss: 0.3538	LR: 0.004000
Training Epoch: 34 [25088/47500]	Loss: 0.3338	LR: 0.004000
Training Epoch: 34 [25344/47500]	Loss: 0.3744	LR: 0.004000
Training Epoch: 34 [25600/47500]	Loss: 0.3107	LR: 0.004000
Training Epoch: 34 [25856/47500]	Loss: 0.3193	LR: 0.004000
Training Epoch: 34 [26112/47500]	Loss: 0.3475	LR: 0.004000
Training Epoch: 34 [26368/47500]	Loss: 0.3966	LR: 0.004000
Training Epoch: 34 [26624/47500]	Loss: 0.3226	LR: 0.004000
Training Epoch: 34 [26880/47500]	Loss: 0.3250	LR: 0.004000
Training Epoch: 34 [27136/47500]	Loss: 0.3234	LR: 0.004000
Training Epoch: 34 [27392/47500]	Loss: 0.3274	LR: 0.004000
Training Epoch: 34 [27648/47500]	Loss: 0.2788	LR: 0.004000
Training Epoch: 34 [27904/47500]	Loss: 0.3058	LR: 0.004000
Training Epoch: 34 [28160/47500]	Loss: 0.2760	LR: 0.004000
Training Epoch: 34 [28416/47500]	Loss: 0.2863	LR: 0.004000
Training Epoch: 34 [28672/47500]	Loss: 0.2925	LR: 0.004000
Training Epoch: 34 [28928/47500]	Loss: 0.4101	LR: 0.004000
Training Epoch: 34 [29184/47500]	Loss: 0.2675	LR: 0.004000
Training Epoch: 34 [29440/47500]	Loss: 0.3363	LR: 0.004000
Training Epoch: 34 [29696/47500]	Loss: 0.3637	LR: 0.004000
Training Epoch: 34 [29952/47500]	Loss: 0.3059	LR: 0.004000
Training Epoch: 34 [30208/47500]	Loss: 0.3215	LR: 0.004000
Training Epoch: 34 [30464/47500]	Loss: 0.3298	LR: 0.004000
Training Epoch: 34 [30720/47500]	Loss: 0.3281	LR: 0.004000
Training Epoch: 34 [30976/47500]	Loss: 0.3625	LR: 0.004000
Training Epoch: 34 [31232/47500]	Loss: 0.3302	LR: 0.004000
Training Epoch: 34 [31488/47500]	Loss: 0.3266	LR: 0.004000
Training Epoch: 34 [31744/47500]	Loss: 0.4084	LR: 0.004000
Training Epoch: 34 [32000/47500]	Loss: 0.3396	LR: 0.004000
Training Epoch: 34 [32256/47500]	Loss: 0.3192	LR: 0.004000
Training Epoch: 34 [32512/47500]	Loss: 0.3744	LR: 0.004000
Training Epoch: 34 [32768/47500]	Loss: 0.3369	LR: 0.004000
Training Epoch: 34 [33024/47500]	Loss: 0.3695	LR: 0.004000
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Training Epoch: 34 [46336/47500]	Loss: 0.3107	LR: 0.004000
Training Epoch: 34 [46592/47500]	Loss: 0.2875	LR: 0.004000
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Training Epoch: 34 [47360/47500]	Loss: 0.3248	LR: 0.004000
Training Epoch: 34 [47500/47500]	Loss: 0.2612	LR: 0.004000
Epoch 34 - Average Train Loss: 0.3223, Train Accuracy: 0.9022
Epoch 34 training time consumed: 26.04s
Evaluating Network.....
Test set: Epoch: 34, Average loss: 0.0030, Accuracy: 0.7871, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_21h_50m_11s/AllCNN-Cifar20-seed5-ret50-34-best.pth
Training Epoch: 35 [256/47500]	Loss: 0.3096	LR: 0.000800
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Training Epoch: 35 [46592/47500]	Loss: 0.2991	LR: 0.000800
Training Epoch: 35 [46848/47500]	Loss: 0.3168	LR: 0.000800
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Training Epoch: 35 [47500/47500]	Loss: 0.3870	LR: 0.000800
Epoch 35 - Average Train Loss: 0.2960, Train Accuracy: 0.9109
Epoch 35 training time consumed: 26.00s
Evaluating Network.....
Test set: Epoch: 35, Average loss: 0.0029, Accuracy: 0.7877, Time consumed:0.98s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_21h_50m_11s/AllCNN-Cifar20-seed5-ret50-35-best.pth
Training Epoch: 36 [256/47500]	Loss: 0.2639	LR: 0.000800
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Training Epoch: 36 [47360/47500]	Loss: 0.3005	LR: 0.000800
Training Epoch: 36 [47500/47500]	Loss: 0.3129	LR: 0.000800
Epoch 36 - Average Train Loss: 0.2932, Train Accuracy: 0.9123
Epoch 36 training time consumed: 26.17s
Evaluating Network.....
Test set: Epoch: 36, Average loss: 0.0029, Accuracy: 0.7893, Time consumed:0.87s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_21h_50m_11s/AllCNN-Cifar20-seed5-ret50-36-best.pth
Training Epoch: 37 [256/47500]	Loss: 0.3006	LR: 0.000800
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Training Epoch: 37 [35072/47500]	Loss: 0.2931	LR: 0.000800
Training Epoch: 37 [35328/47500]	Loss: 0.3018	LR: 0.000800
Training Epoch: 37 [35584/47500]	Loss: 0.2951	LR: 0.000800
Training Epoch: 37 [35840/47500]	Loss: 0.2426	LR: 0.000800
Training Epoch: 37 [36096/47500]	Loss: 0.3461	LR: 0.000800
Training Epoch: 37 [36352/47500]	Loss: 0.3329	LR: 0.000800
Training Epoch: 37 [36608/47500]	Loss: 0.2834	LR: 0.000800
Training Epoch: 37 [36864/47500]	Loss: 0.2800	LR: 0.000800
Training Epoch: 37 [37120/47500]	Loss: 0.3139	LR: 0.000800
Training Epoch: 37 [37376/47500]	Loss: 0.3068	LR: 0.000800
Training Epoch: 37 [37632/47500]	Loss: 0.4034	LR: 0.000800
Training Epoch: 37 [37888/47500]	Loss: 0.2839	LR: 0.000800
Training Epoch: 37 [38144/47500]	Loss: 0.3065	LR: 0.000800
Training Epoch: 37 [38400/47500]	Loss: 0.2615	LR: 0.000800
Training Epoch: 37 [38656/47500]	Loss: 0.2878	LR: 0.000800
Training Epoch: 37 [38912/47500]	Loss: 0.2722	LR: 0.000800
Training Epoch: 37 [39168/47500]	Loss: 0.2469	LR: 0.000800
Training Epoch: 37 [39424/47500]	Loss: 0.3312	LR: 0.000800
Training Epoch: 37 [39680/47500]	Loss: 0.3543	LR: 0.000800
Training Epoch: 37 [39936/47500]	Loss: 0.2415	LR: 0.000800
Training Epoch: 37 [40192/47500]	Loss: 0.2022	LR: 0.000800
Training Epoch: 37 [40448/47500]	Loss: 0.3047	LR: 0.000800
Training Epoch: 37 [40704/47500]	Loss: 0.2181	LR: 0.000800
Training Epoch: 37 [40960/47500]	Loss: 0.3027	LR: 0.000800
Training Epoch: 37 [41216/47500]	Loss: 0.3413	LR: 0.000800
Training Epoch: 37 [41472/47500]	Loss: 0.2246	LR: 0.000800
Training Epoch: 37 [41728/47500]	Loss: 0.2573	LR: 0.000800
Training Epoch: 37 [41984/47500]	Loss: 0.2359	LR: 0.000800
Training Epoch: 37 [42240/47500]	Loss: 0.3413	LR: 0.000800
Training Epoch: 37 [42496/47500]	Loss: 0.3872	LR: 0.000800
Training Epoch: 37 [42752/47500]	Loss: 0.3083	LR: 0.000800
Training Epoch: 37 [43008/47500]	Loss: 0.2954	LR: 0.000800
Training Epoch: 37 [43264/47500]	Loss: 0.2548	LR: 0.000800
Training Epoch: 37 [43520/47500]	Loss: 0.2045	LR: 0.000800
Training Epoch: 37 [43776/47500]	Loss: 0.3066	LR: 0.000800
Training Epoch: 37 [44032/47500]	Loss: 0.3051	LR: 0.000800
Training Epoch: 37 [44288/47500]	Loss: 0.3026	LR: 0.000800
Training Epoch: 37 [44544/47500]	Loss: 0.2991	LR: 0.000800
Training Epoch: 37 [44800/47500]	Loss: 0.2849	LR: 0.000800
Training Epoch: 37 [45056/47500]	Loss: 0.2765	LR: 0.000800
Training Epoch: 37 [45312/47500]	Loss: 0.2734	LR: 0.000800
Training Epoch: 37 [45568/47500]	Loss: 0.2396	LR: 0.000800
Training Epoch: 37 [45824/47500]	Loss: 0.2276	LR: 0.000800
Training Epoch: 37 [46080/47500]	Loss: 0.3438	LR: 0.000800
Training Epoch: 37 [46336/47500]	Loss: 0.2539	LR: 0.000800
Training Epoch: 37 [46592/47500]	Loss: 0.3072	LR: 0.000800
Training Epoch: 37 [46848/47500]	Loss: 0.2913	LR: 0.000800
Training Epoch: 37 [47104/47500]	Loss: 0.3220	LR: 0.000800
Training Epoch: 37 [47360/47500]	Loss: 0.2461	LR: 0.000800
Training Epoch: 37 [47500/47500]	Loss: 0.2602	LR: 0.000800
Epoch 37 - Average Train Loss: 0.2847, Train Accuracy: 0.9167
Epoch 37 training time consumed: 26.50s
Evaluating Network.....
Test set: Epoch: 37, Average loss: 0.0029, Accuracy: 0.7879, Time consumed:0.88s
Training Epoch: 38 [256/47500]	Loss: 0.3770	LR: 0.000800
Training Epoch: 38 [512/47500]	Loss: 0.2725	LR: 0.000800
Training Epoch: 38 [768/47500]	Loss: 0.3741	LR: 0.000800
Training Epoch: 38 [1024/47500]	Loss: 0.3073	LR: 0.000800
Training Epoch: 38 [1280/47500]	Loss: 0.2731	LR: 0.000800
Training Epoch: 38 [1536/47500]	Loss: 0.2818	LR: 0.000800
Training Epoch: 38 [1792/47500]	Loss: 0.2795	LR: 0.000800
Training Epoch: 38 [2048/47500]	Loss: 0.3356	LR: 0.000800
Training Epoch: 38 [2304/47500]	Loss: 0.2649	LR: 0.000800
Training Epoch: 38 [2560/47500]	Loss: 0.2573	LR: 0.000800
Training Epoch: 38 [2816/47500]	Loss: 0.3531	LR: 0.000800
Training Epoch: 38 [3072/47500]	Loss: 0.2863	LR: 0.000800
Training Epoch: 38 [3328/47500]	Loss: 0.2574	LR: 0.000800
Training Epoch: 38 [3584/47500]	Loss: 0.3359	LR: 0.000800
Training Epoch: 38 [3840/47500]	Loss: 0.2594	LR: 0.000800
Training Epoch: 38 [4096/47500]	Loss: 0.3100	LR: 0.000800
Training Epoch: 38 [4352/47500]	Loss: 0.3241	LR: 0.000800
Training Epoch: 38 [4608/47500]	Loss: 0.2169	LR: 0.000800
Training Epoch: 38 [4864/47500]	Loss: 0.3090	LR: 0.000800
Training Epoch: 38 [5120/47500]	Loss: 0.2463	LR: 0.000800
Training Epoch: 38 [5376/47500]	Loss: 0.2938	LR: 0.000800
Training Epoch: 38 [5632/47500]	Loss: 0.3011	LR: 0.000800
Training Epoch: 38 [5888/47500]	Loss: 0.2318	LR: 0.000800
Training Epoch: 38 [6144/47500]	Loss: 0.2835	LR: 0.000800
Training Epoch: 38 [6400/47500]	Loss: 0.2756	LR: 0.000800
Training Epoch: 38 [6656/47500]	Loss: 0.2457	LR: 0.000800
Training Epoch: 38 [6912/47500]	Loss: 0.3615	LR: 0.000800
Training Epoch: 38 [7168/47500]	Loss: 0.2364	LR: 0.000800
Training Epoch: 38 [7424/47500]	Loss: 0.2399	LR: 0.000800
Training Epoch: 38 [7680/47500]	Loss: 0.3301	LR: 0.000800
Training Epoch: 38 [7936/47500]	Loss: 0.2860	LR: 0.000800
Training Epoch: 38 [8192/47500]	Loss: 0.2833	LR: 0.000800
Training Epoch: 38 [8448/47500]	Loss: 0.2676	LR: 0.000800
Training Epoch: 38 [8704/47500]	Loss: 0.2427	LR: 0.000800
Training Epoch: 38 [8960/47500]	Loss: 0.2888	LR: 0.000800
Training Epoch: 38 [9216/47500]	Loss: 0.2619	LR: 0.000800
Training Epoch: 38 [9472/47500]	Loss: 0.2267	LR: 0.000800
Training Epoch: 38 [9728/47500]	Loss: 0.2219	LR: 0.000800
Training Epoch: 38 [9984/47500]	Loss: 0.2487	LR: 0.000800
Training Epoch: 38 [10240/47500]	Loss: 0.2738	LR: 0.000800
Training Epoch: 38 [10496/47500]	Loss: 0.3779	LR: 0.000800
Training Epoch: 38 [10752/47500]	Loss: 0.2837	LR: 0.000800
Training Epoch: 38 [11008/47500]	Loss: 0.3209	LR: 0.000800
Training Epoch: 38 [11264/47500]	Loss: 0.3200	LR: 0.000800
Training Epoch: 38 [11520/47500]	Loss: 0.2591	LR: 0.000800
Training Epoch: 38 [11776/47500]	Loss: 0.2775	LR: 0.000800
Training Epoch: 38 [12032/47500]	Loss: 0.3216	LR: 0.000800
Training Epoch: 38 [12288/47500]	Loss: 0.3167	LR: 0.000800
Training Epoch: 38 [12544/47500]	Loss: 0.2529	LR: 0.000800
Training Epoch: 38 [12800/47500]	Loss: 0.3374	LR: 0.000800
Training Epoch: 38 [13056/47500]	Loss: 0.2728	LR: 0.000800
Training Epoch: 38 [13312/47500]	Loss: 0.2743	LR: 0.000800
Training Epoch: 38 [13568/47500]	Loss: 0.2689	LR: 0.000800
Training Epoch: 38 [13824/47500]	Loss: 0.2409	LR: 0.000800
Training Epoch: 38 [14080/47500]	Loss: 0.2465	LR: 0.000800
Training Epoch: 38 [14336/47500]	Loss: 0.2951	LR: 0.000800
Training Epoch: 38 [14592/47500]	Loss: 0.2207	LR: 0.000800
Training Epoch: 38 [14848/47500]	Loss: 0.3651	LR: 0.000800
Training Epoch: 38 [15104/47500]	Loss: 0.3075	LR: 0.000800
Training Epoch: 38 [15360/47500]	Loss: 0.2421	LR: 0.000800
Training Epoch: 38 [15616/47500]	Loss: 0.2963	LR: 0.000800
Training Epoch: 38 [15872/47500]	Loss: 0.2730	LR: 0.000800
Training Epoch: 38 [16128/47500]	Loss: 0.3164	LR: 0.000800
Training Epoch: 38 [16384/47500]	Loss: 0.3128	LR: 0.000800
Training Epoch: 38 [16640/47500]	Loss: 0.3427	LR: 0.000800
Training Epoch: 38 [16896/47500]	Loss: 0.2805	LR: 0.000800
Training Epoch: 38 [17152/47500]	Loss: 0.3513	LR: 0.000800
Training Epoch: 38 [17408/47500]	Loss: 0.2704	LR: 0.000800
Training Epoch: 38 [17664/47500]	Loss: 0.3862	LR: 0.000800
Training Epoch: 38 [17920/47500]	Loss: 0.3292	LR: 0.000800
Training Epoch: 38 [18176/47500]	Loss: 0.2902	LR: 0.000800
Training Epoch: 38 [18432/47500]	Loss: 0.2699	LR: 0.000800
Training Epoch: 38 [18688/47500]	Loss: 0.2795	LR: 0.000800
Training Epoch: 38 [18944/47500]	Loss: 0.3447	LR: 0.000800
Training Epoch: 38 [19200/47500]	Loss: 0.2723	LR: 0.000800
Training Epoch: 38 [19456/47500]	Loss: 0.2683	LR: 0.000800
Training Epoch: 38 [19712/47500]	Loss: 0.2529	LR: 0.000800
Training Epoch: 38 [19968/47500]	Loss: 0.2537	LR: 0.000800
Training Epoch: 38 [20224/47500]	Loss: 0.2821	LR: 0.000800
Training Epoch: 38 [20480/47500]	Loss: 0.3670	LR: 0.000800
Training Epoch: 38 [20736/47500]	Loss: 0.2132	LR: 0.000800
Training Epoch: 38 [20992/47500]	Loss: 0.2778	LR: 0.000800
Training Epoch: 38 [21248/47500]	Loss: 0.2970	LR: 0.000800
Training Epoch: 38 [21504/47500]	Loss: 0.2770	LR: 0.000800
Training Epoch: 38 [21760/47500]	Loss: 0.3239	LR: 0.000800
Training Epoch: 38 [22016/47500]	Loss: 0.3168	LR: 0.000800
Training Epoch: 38 [22272/47500]	Loss: 0.2747	LR: 0.000800
Training Epoch: 38 [22528/47500]	Loss: 0.3044	LR: 0.000800
Training Epoch: 38 [22784/47500]	Loss: 0.3131	LR: 0.000800
Training Epoch: 38 [23040/47500]	Loss: 0.2591	LR: 0.000800
Training Epoch: 38 [23296/47500]	Loss: 0.3255	LR: 0.000800
Training Epoch: 38 [23552/47500]	Loss: 0.2735	LR: 0.000800
Training Epoch: 38 [23808/47500]	Loss: 0.2163	LR: 0.000800
Training Epoch: 38 [24064/47500]	Loss: 0.3358	LR: 0.000800
Training Epoch: 38 [24320/47500]	Loss: 0.3106	LR: 0.000800
Training Epoch: 38 [24576/47500]	Loss: 0.2823	LR: 0.000800
Training Epoch: 38 [24832/47500]	Loss: 0.2861	LR: 0.000800
Training Epoch: 38 [25088/47500]	Loss: 0.2556	LR: 0.000800
Training Epoch: 38 [25344/47500]	Loss: 0.2217	LR: 0.000800
Training Epoch: 38 [25600/47500]	Loss: 0.2349	LR: 0.000800
Training Epoch: 38 [25856/47500]	Loss: 0.2948	LR: 0.000800
Training Epoch: 38 [26112/47500]	Loss: 0.2639	LR: 0.000800
Training Epoch: 38 [26368/47500]	Loss: 0.2648	LR: 0.000800
Training Epoch: 38 [26624/47500]	Loss: 0.3019	LR: 0.000800
Training Epoch: 38 [26880/47500]	Loss: 0.2266	LR: 0.000800
Training Epoch: 38 [27136/47500]	Loss: 0.3777	LR: 0.000800
Training Epoch: 38 [27392/47500]	Loss: 0.2612	LR: 0.000800
Training Epoch: 38 [27648/47500]	Loss: 0.2291	LR: 0.000800
Training Epoch: 38 [27904/47500]	Loss: 0.3406	LR: 0.000800
Training Epoch: 38 [28160/47500]	Loss: 0.2592	LR: 0.000800
Training Epoch: 38 [28416/47500]	Loss: 0.2537	LR: 0.000800
Training Epoch: 38 [28672/47500]	Loss: 0.2548	LR: 0.000800
Training Epoch: 38 [28928/47500]	Loss: 0.2270	LR: 0.000800
Training Epoch: 38 [29184/47500]	Loss: 0.2693	LR: 0.000800
Training Epoch: 38 [29440/47500]	Loss: 0.3458	LR: 0.000800
Training Epoch: 38 [29696/47500]	Loss: 0.2233	LR: 0.000800
Training Epoch: 38 [29952/47500]	Loss: 0.2336	LR: 0.000800
Training Epoch: 38 [30208/47500]	Loss: 0.2584	LR: 0.000800
Training Epoch: 38 [30464/47500]	Loss: 0.3146	LR: 0.000800
Training Epoch: 38 [30720/47500]	Loss: 0.3362	LR: 0.000800
Training Epoch: 38 [30976/47500]	Loss: 0.2375	LR: 0.000800
Training Epoch: 38 [31232/47500]	Loss: 0.3306	LR: 0.000800
Training Epoch: 38 [31488/47500]	Loss: 0.3134	LR: 0.000800
Training Epoch: 38 [31744/47500]	Loss: 0.3212	LR: 0.000800
Training Epoch: 38 [32000/47500]	Loss: 0.3028	LR: 0.000800
Training Epoch: 38 [32256/47500]	Loss: 0.2903	LR: 0.000800
Training Epoch: 38 [32512/47500]	Loss: 0.3039	LR: 0.000800
Training Epoch: 38 [32768/47500]	Loss: 0.2253	LR: 0.000800
Training Epoch: 38 [33024/47500]	Loss: 0.2448	LR: 0.000800
Training Epoch: 38 [33280/47500]	Loss: 0.3160	LR: 0.000800
Training Epoch: 38 [33536/47500]	Loss: 0.2374	LR: 0.000800
Training Epoch: 38 [33792/47500]	Loss: 0.2634	LR: 0.000800
Training Epoch: 38 [34048/47500]	Loss: 0.3020	LR: 0.000800
Training Epoch: 38 [34304/47500]	Loss: 0.2275	LR: 0.000800
Training Epoch: 38 [34560/47500]	Loss: 0.3095	LR: 0.000800
Training Epoch: 38 [34816/47500]	Loss: 0.2767	LR: 0.000800
Training Epoch: 38 [35072/47500]	Loss: 0.2419	LR: 0.000800
Training Epoch: 38 [35328/47500]	Loss: 0.3035	LR: 0.000800
Training Epoch: 38 [35584/47500]	Loss: 0.2840	LR: 0.000800
Training Epoch: 38 [35840/47500]	Loss: 0.3528	LR: 0.000800
Training Epoch: 38 [36096/47500]	Loss: 0.2531	LR: 0.000800
Training Epoch: 38 [36352/47500]	Loss: 0.3356	LR: 0.000800
Training Epoch: 38 [36608/47500]	Loss: 0.3362	LR: 0.000800
Training Epoch: 38 [36864/47500]	Loss: 0.2614	LR: 0.000800
Training Epoch: 38 [37120/47500]	Loss: 0.3221	LR: 0.000800
Training Epoch: 38 [37376/47500]	Loss: 0.2552	LR: 0.000800
Training Epoch: 38 [37632/47500]	Loss: 0.3276	LR: 0.000800
Training Epoch: 38 [37888/47500]	Loss: 0.3121	LR: 0.000800
Training Epoch: 38 [38144/47500]	Loss: 0.2521	LR: 0.000800
Training Epoch: 38 [38400/47500]	Loss: 0.2677	LR: 0.000800
Training Epoch: 38 [38656/47500]	Loss: 0.2798	LR: 0.000800
Training Epoch: 38 [38912/47500]	Loss: 0.3151	LR: 0.000800
Training Epoch: 38 [39168/47500]	Loss: 0.2366	LR: 0.000800
Training Epoch: 38 [39424/47500]	Loss: 0.2752	LR: 0.000800
Training Epoch: 38 [39680/47500]	Loss: 0.2808	LR: 0.000800
Training Epoch: 38 [39936/47500]	Loss: 0.3287	LR: 0.000800
Training Epoch: 38 [40192/47500]	Loss: 0.2703	LR: 0.000800
Training Epoch: 38 [40448/47500]	Loss: 0.3149	LR: 0.000800
Training Epoch: 38 [40704/47500]	Loss: 0.2432	LR: 0.000800
Training Epoch: 38 [40960/47500]	Loss: 0.2566	LR: 0.000800
Training Epoch: 38 [41216/47500]	Loss: 0.3180	LR: 0.000800
Training Epoch: 38 [41472/47500]	Loss: 0.3125	LR: 0.000800
Training Epoch: 38 [41728/47500]	Loss: 0.2237	LR: 0.000800
Training Epoch: 38 [41984/47500]	Loss: 0.2426	LR: 0.000800
Training Epoch: 38 [42240/47500]	Loss: 0.2263	LR: 0.000800
Training Epoch: 38 [42496/47500]	Loss: 0.2431	LR: 0.000800
Training Epoch: 38 [42752/47500]	Loss: 0.3132	LR: 0.000800
Training Epoch: 38 [43008/47500]	Loss: 0.2157	LR: 0.000800
Training Epoch: 38 [43264/47500]	Loss: 0.2728	LR: 0.000800
Training Epoch: 38 [43520/47500]	Loss: 0.3085	LR: 0.000800
Training Epoch: 38 [43776/47500]	Loss: 0.2628	LR: 0.000800
Training Epoch: 38 [44032/47500]	Loss: 0.3342	LR: 0.000800
Training Epoch: 38 [44288/47500]	Loss: 0.3398	LR: 0.000800
Training Epoch: 38 [44544/47500]	Loss: 0.3000	LR: 0.000800
Training Epoch: 38 [44800/47500]	Loss: 0.2778	LR: 0.000800
Training Epoch: 38 [45056/47500]	Loss: 0.3174	LR: 0.000800
Training Epoch: 38 [45312/47500]	Loss: 0.2785	LR: 0.000800
Training Epoch: 38 [45568/47500]	Loss: 0.2748	LR: 0.000800
Training Epoch: 38 [45824/47500]	Loss: 0.2765	LR: 0.000800
Training Epoch: 38 [46080/47500]	Loss: 0.2656	LR: 0.000800
Training Epoch: 38 [46336/47500]	Loss: 0.2773	LR: 0.000800
Training Epoch: 38 [46592/47500]	Loss: 0.2800	LR: 0.000800
Training Epoch: 38 [46848/47500]	Loss: 0.2265	LR: 0.000800
Training Epoch: 38 [47104/47500]	Loss: 0.2357	LR: 0.000800
Training Epoch: 38 [47360/47500]	Loss: 0.2593	LR: 0.000800
Training Epoch: 38 [47500/47500]	Loss: 0.3070	LR: 0.000800
Epoch 38 - Average Train Loss: 0.2843, Train Accuracy: 0.9152
Epoch 38 training time consumed: 26.10s
Evaluating Network.....
Test set: Epoch: 38, Average loss: 0.0029, Accuracy: 0.7889, Time consumed:0.89s
Training Epoch: 39 [256/47500]	Loss: 0.2991	LR: 0.000800
Training Epoch: 39 [512/47500]	Loss: 0.2608	LR: 0.000800
Training Epoch: 39 [768/47500]	Loss: 0.2619	LR: 0.000800
Training Epoch: 39 [1024/47500]	Loss: 0.2413	LR: 0.000800
Training Epoch: 39 [1280/47500]	Loss: 0.2546	LR: 0.000800
Training Epoch: 39 [1536/47500]	Loss: 0.2689	LR: 0.000800
Training Epoch: 39 [1792/47500]	Loss: 0.2884	LR: 0.000800
Training Epoch: 39 [2048/47500]	Loss: 0.2630	LR: 0.000800
Training Epoch: 39 [2304/47500]	Loss: 0.3380	LR: 0.000800
Training Epoch: 39 [2560/47500]	Loss: 0.2974	LR: 0.000800
Training Epoch: 39 [2816/47500]	Loss: 0.2822	LR: 0.000800
Training Epoch: 39 [3072/47500]	Loss: 0.3278	LR: 0.000800
Training Epoch: 39 [3328/47500]	Loss: 0.2948	LR: 0.000800
Training Epoch: 39 [3584/47500]	Loss: 0.3130	LR: 0.000800
Training Epoch: 39 [3840/47500]	Loss: 0.3089	LR: 0.000800
Training Epoch: 39 [4096/47500]	Loss: 0.3019	LR: 0.000800
Training Epoch: 39 [4352/47500]	Loss: 0.3024	LR: 0.000800
Training Epoch: 39 [4608/47500]	Loss: 0.2773	LR: 0.000800
Training Epoch: 39 [4864/47500]	Loss: 0.2847	LR: 0.000800
Training Epoch: 39 [5120/47500]	Loss: 0.2404	LR: 0.000800
Training Epoch: 39 [5376/47500]	Loss: 0.2572	LR: 0.000800
Training Epoch: 39 [5632/47500]	Loss: 0.2857	LR: 0.000800
Training Epoch: 39 [5888/47500]	Loss: 0.2526	LR: 0.000800
Training Epoch: 39 [6144/47500]	Loss: 0.3034	LR: 0.000800
Training Epoch: 39 [6400/47500]	Loss: 0.2967	LR: 0.000800
Training Epoch: 39 [6656/47500]	Loss: 0.2067	LR: 0.000800
Training Epoch: 39 [6912/47500]	Loss: 0.2695	LR: 0.000800
Training Epoch: 39 [7168/47500]	Loss: 0.3018	LR: 0.000800
Training Epoch: 39 [7424/47500]	Loss: 0.2500	LR: 0.000800
Training Epoch: 39 [7680/47500]	Loss: 0.3087	LR: 0.000800
Training Epoch: 39 [7936/47500]	Loss: 0.3020	LR: 0.000800
Training Epoch: 39 [8192/47500]	Loss: 0.2561	LR: 0.000800
Training Epoch: 39 [8448/47500]	Loss: 0.2953	LR: 0.000800
Training Epoch: 39 [8704/47500]	Loss: 0.2362	LR: 0.000800
Training Epoch: 39 [8960/47500]	Loss: 0.2167	LR: 0.000800
Training Epoch: 39 [9216/47500]	Loss: 0.2165	LR: 0.000800
Training Epoch: 39 [9472/47500]	Loss: 0.2072	LR: 0.000800
Training Epoch: 39 [9728/47500]	Loss: 0.2180	LR: 0.000800
Training Epoch: 39 [9984/47500]	Loss: 0.2497	LR: 0.000800
Training Epoch: 39 [10240/47500]	Loss: 0.2462	LR: 0.000800
Training Epoch: 39 [10496/47500]	Loss: 0.2509	LR: 0.000800
Training Epoch: 39 [10752/47500]	Loss: 0.2485	LR: 0.000800
Training Epoch: 39 [11008/47500]	Loss: 0.2578	LR: 0.000800
Training Epoch: 39 [11264/47500]	Loss: 0.2824	LR: 0.000800
Training Epoch: 39 [11520/47500]	Loss: 0.2116	LR: 0.000800
Training Epoch: 39 [11776/47500]	Loss: 0.2883	LR: 0.000800
Training Epoch: 39 [12032/47500]	Loss: 0.2806	LR: 0.000800
Training Epoch: 39 [12288/47500]	Loss: 0.2564	LR: 0.000800
Training Epoch: 39 [12544/47500]	Loss: 0.2066	LR: 0.000800
Training Epoch: 39 [12800/47500]	Loss: 0.2544	LR: 0.000800
Training Epoch: 39 [13056/47500]	Loss: 0.2605	LR: 0.000800
Training Epoch: 39 [13312/47500]	Loss: 0.3441	LR: 0.000800
Training Epoch: 39 [13568/47500]	Loss: 0.2456	LR: 0.000800
Training Epoch: 39 [13824/47500]	Loss: 0.2770	LR: 0.000800
Training Epoch: 39 [14080/47500]	Loss: 0.2572	LR: 0.000800
Training Epoch: 39 [14336/47500]	Loss: 0.2810	LR: 0.000800
Training Epoch: 39 [14592/47500]	Loss: 0.2837	LR: 0.000800
Training Epoch: 39 [14848/47500]	Loss: 0.3239	LR: 0.000800
Training Epoch: 39 [15104/47500]	Loss: 0.3210	LR: 0.000800
Training Epoch: 39 [15360/47500]	Loss: 0.2340	LR: 0.000800
Training Epoch: 39 [15616/47500]	Loss: 0.3440	LR: 0.000800
Training Epoch: 39 [15872/47500]	Loss: 0.2262	LR: 0.000800
Training Epoch: 39 [16128/47500]	Loss: 0.3474	LR: 0.000800
Training Epoch: 39 [16384/47500]	Loss: 0.3559	LR: 0.000800
Training Epoch: 39 [16640/47500]	Loss: 0.3027	LR: 0.000800
Training Epoch: 39 [16896/47500]	Loss: 0.2917	LR: 0.000800
Training Epoch: 39 [17152/47500]	Loss: 0.2856	LR: 0.000800
Training Epoch: 39 [17408/47500]	Loss: 0.3363	LR: 0.000800
Training Epoch: 39 [17664/47500]	Loss: 0.2436	LR: 0.000800
Training Epoch: 39 [17920/47500]	Loss: 0.2572	LR: 0.000800
Training Epoch: 39 [18176/47500]	Loss: 0.2562	LR: 0.000800
Training Epoch: 39 [18432/47500]	Loss: 0.4206	LR: 0.000800
Training Epoch: 39 [18688/47500]	Loss: 0.3671	LR: 0.000800
Training Epoch: 39 [18944/47500]	Loss: 0.2716	LR: 0.000800
Training Epoch: 39 [19200/47500]	Loss: 0.2750	LR: 0.000800
Training Epoch: 39 [19456/47500]	Loss: 0.2440	LR: 0.000800
Training Epoch: 39 [19712/47500]	Loss: 0.2683	LR: 0.000800
Training Epoch: 39 [19968/47500]	Loss: 0.3430	LR: 0.000800
Training Epoch: 39 [20224/47500]	Loss: 0.2375	LR: 0.000800
Training Epoch: 39 [20480/47500]	Loss: 0.2982	LR: 0.000800
Training Epoch: 39 [20736/47500]	Loss: 0.3074	LR: 0.000800
Training Epoch: 39 [20992/47500]	Loss: 0.2643	LR: 0.000800
Training Epoch: 39 [21248/47500]	Loss: 0.2972	LR: 0.000800
Training Epoch: 39 [21504/47500]	Loss: 0.2871	LR: 0.000800
Training Epoch: 39 [21760/47500]	Loss: 0.3206	LR: 0.000800
Training Epoch: 39 [22016/47500]	Loss: 0.2840	LR: 0.000800
Training Epoch: 39 [22272/47500]	Loss: 0.2412	LR: 0.000800
Training Epoch: 39 [22528/47500]	Loss: 0.2575	LR: 0.000800
Training Epoch: 39 [22784/47500]	Loss: 0.2648	LR: 0.000800
Training Epoch: 39 [23040/47500]	Loss: 0.2867	LR: 0.000800
Training Epoch: 39 [23296/47500]	Loss: 0.2186	LR: 0.000800
Training Epoch: 39 [23552/47500]	Loss: 0.3875	LR: 0.000800
Training Epoch: 39 [23808/47500]	Loss: 0.2662	LR: 0.000800
Training Epoch: 39 [24064/47500]	Loss: 0.2727	LR: 0.000800
Training Epoch: 39 [24320/47500]	Loss: 0.2778	LR: 0.000800
Training Epoch: 39 [24576/47500]	Loss: 0.2608	LR: 0.000800
Training Epoch: 39 [24832/47500]	Loss: 0.3021	LR: 0.000800
Training Epoch: 39 [25088/47500]	Loss: 0.3089	LR: 0.000800
Training Epoch: 39 [25344/47500]	Loss: 0.3087	LR: 0.000800
Training Epoch: 39 [25600/47500]	Loss: 0.3048	LR: 0.000800
Training Epoch: 39 [25856/47500]	Loss: 0.2870	LR: 0.000800
Training Epoch: 39 [26112/47500]	Loss: 0.1666	LR: 0.000800
Training Epoch: 39 [26368/47500]	Loss: 0.2735	LR: 0.000800
Training Epoch: 39 [26624/47500]	Loss: 0.3381	LR: 0.000800
Training Epoch: 39 [26880/47500]	Loss: 0.3007	LR: 0.000800
Training Epoch: 39 [27136/47500]	Loss: 0.2254	LR: 0.000800
Training Epoch: 39 [27392/47500]	Loss: 0.2774	LR: 0.000800
Training Epoch: 39 [27648/47500]	Loss: 0.3375	LR: 0.000800
Training Epoch: 39 [27904/47500]	Loss: 0.2791	LR: 0.000800
Training Epoch: 39 [28160/47500]	Loss: 0.3165	LR: 0.000800
Training Epoch: 39 [28416/47500]	Loss: 0.3458	LR: 0.000800
Training Epoch: 39 [28672/47500]	Loss: 0.2698	LR: 0.000800
Training Epoch: 39 [28928/47500]	Loss: 0.3353	LR: 0.000800
Training Epoch: 39 [29184/47500]	Loss: 0.3036	LR: 0.000800
Training Epoch: 39 [29440/47500]	Loss: 0.2611	LR: 0.000800
Training Epoch: 39 [29696/47500]	Loss: 0.2969	LR: 0.000800
Training Epoch: 39 [29952/47500]	Loss: 0.2821	LR: 0.000800
Training Epoch: 39 [30208/47500]	Loss: 0.2233	LR: 0.000800
Training Epoch: 39 [30464/47500]	Loss: 0.2189	LR: 0.000800
Training Epoch: 39 [30720/47500]	Loss: 0.3289	LR: 0.000800
Training Epoch: 39 [30976/47500]	Loss: 0.2567	LR: 0.000800
Training Epoch: 39 [31232/47500]	Loss: 0.3141	LR: 0.000800
Training Epoch: 39 [31488/47500]	Loss: 0.2192	LR: 0.000800
Training Epoch: 39 [31744/47500]	Loss: 0.3080	LR: 0.000800
Training Epoch: 39 [32000/47500]	Loss: 0.2745	LR: 0.000800
Training Epoch: 39 [32256/47500]	Loss: 0.2310	LR: 0.000800
Training Epoch: 39 [32512/47500]	Loss: 0.2310	LR: 0.000800
Training Epoch: 39 [32768/47500]	Loss: 0.3391	LR: 0.000800
Training Epoch: 39 [33024/47500]	Loss: 0.2752	LR: 0.000800
Training Epoch: 39 [33280/47500]	Loss: 0.3143	LR: 0.000800
Training Epoch: 39 [33536/47500]	Loss: 0.2680	LR: 0.000800
Training Epoch: 39 [33792/47500]	Loss: 0.3407	LR: 0.000800
Training Epoch: 39 [34048/47500]	Loss: 0.2775	LR: 0.000800
Training Epoch: 39 [34304/47500]	Loss: 0.2291	LR: 0.000800
Training Epoch: 39 [34560/47500]	Loss: 0.3534	LR: 0.000800
Training Epoch: 39 [34816/47500]	Loss: 0.2729	LR: 0.000800
Training Epoch: 39 [35072/47500]	Loss: 0.2580	LR: 0.000800
Training Epoch: 39 [35328/47500]	Loss: 0.3351	LR: 0.000800
Training Epoch: 39 [35584/47500]	Loss: 0.3164	LR: 0.000800
Training Epoch: 39 [35840/47500]	Loss: 0.3236	LR: 0.000800
Training Epoch: 39 [36096/47500]	Loss: 0.2662	LR: 0.000800
Training Epoch: 39 [36352/47500]	Loss: 0.3553	LR: 0.000800
Training Epoch: 39 [36608/47500]	Loss: 0.2389	LR: 0.000800
Training Epoch: 39 [36864/47500]	Loss: 0.3188	LR: 0.000800
Training Epoch: 39 [37120/47500]	Loss: 0.3025	LR: 0.000800
Training Epoch: 39 [37376/47500]	Loss: 0.2768	LR: 0.000800
Training Epoch: 39 [37632/47500]	Loss: 0.3561	LR: 0.000800
Training Epoch: 39 [37888/47500]	Loss: 0.2332	LR: 0.000800
Training Epoch: 39 [38144/47500]	Loss: 0.2366	LR: 0.000800
Training Epoch: 39 [38400/47500]	Loss: 0.2967	LR: 0.000800
Training Epoch: 39 [38656/47500]	Loss: 0.2885	LR: 0.000800
Training Epoch: 39 [38912/47500]	Loss: 0.2615	LR: 0.000800
Training Epoch: 39 [39168/47500]	Loss: 0.2633	LR: 0.000800
Training Epoch: 39 [39424/47500]	Loss: 0.2617	LR: 0.000800
Training Epoch: 39 [39680/47500]	Loss: 0.3292	LR: 0.000800
Training Epoch: 39 [39936/47500]	Loss: 0.3185	LR: 0.000800
Training Epoch: 39 [40192/47500]	Loss: 0.2562	LR: 0.000800
Training Epoch: 39 [40448/47500]	Loss: 0.2809	LR: 0.000800
Training Epoch: 39 [40704/47500]	Loss: 0.3009	LR: 0.000800
Training Epoch: 39 [40960/47500]	Loss: 0.3589	LR: 0.000800
Training Epoch: 39 [41216/47500]	Loss: 0.2144	LR: 0.000800
Training Epoch: 39 [41472/47500]	Loss: 0.2804	LR: 0.000800
Training Epoch: 39 [41728/47500]	Loss: 0.2716	LR: 0.000800
Training Epoch: 39 [41984/47500]	Loss: 0.3331	LR: 0.000800
Training Epoch: 39 [42240/47500]	Loss: 0.2490	LR: 0.000800
Training Epoch: 39 [42496/47500]	Loss: 0.2745	LR: 0.000800
Training Epoch: 39 [42752/47500]	Loss: 0.2779	LR: 0.000800
Training Epoch: 39 [43008/47500]	Loss: 0.2759	LR: 0.000800
Training Epoch: 39 [43264/47500]	Loss: 0.2855	LR: 0.000800
Training Epoch: 39 [43520/47500]	Loss: 0.2738	LR: 0.000800
Training Epoch: 39 [43776/47500]	Loss: 0.3097	LR: 0.000800
Training Epoch: 39 [44032/47500]	Loss: 0.2725	LR: 0.000800
Training Epoch: 39 [44288/47500]	Loss: 0.2674	LR: 0.000800
Training Epoch: 39 [44544/47500]	Loss: 0.3606	LR: 0.000800
Training Epoch: 39 [44800/47500]	Loss: 0.2915	LR: 0.000800
Training Epoch: 39 [45056/47500]	Loss: 0.2722	LR: 0.000800
Training Epoch: 39 [45312/47500]	Loss: 0.2762	LR: 0.000800
Training Epoch: 39 [45568/47500]	Loss: 0.2887	LR: 0.000800
Training Epoch: 39 [45824/47500]	Loss: 0.3793	LR: 0.000800
Training Epoch: 39 [46080/47500]	Loss: 0.2950	LR: 0.000800
Training Epoch: 39 [46336/47500]	Loss: 0.3195	LR: 0.000800
Training Epoch: 39 [46592/47500]	Loss: 0.3222	LR: 0.000800
Training Epoch: 39 [46848/47500]	Loss: 0.3161	LR: 0.000800
Training Epoch: 39 [47104/47500]	Loss: 0.2875	LR: 0.000800
Training Epoch: 39 [47360/47500]	Loss: 0.2592	LR: 0.000800
Training Epoch: 39 [47500/47500]	Loss: 0.2359	LR: 0.000800
Epoch 39 - Average Train Loss: 0.2831, Train Accuracy: 0.9149
Epoch 39 training time consumed: 26.10s
Evaluating Network.....
Test set: Epoch: 39, Average loss: 0.0029, Accuracy: 0.7879, Time consumed:1.00s
Training Epoch: 40 [256/47500]	Loss: 0.3047	LR: 0.000800
Training Epoch: 40 [512/47500]	Loss: 0.2435	LR: 0.000800
Training Epoch: 40 [768/47500]	Loss: 0.2554	LR: 0.000800
Training Epoch: 40 [1024/47500]	Loss: 0.3230	LR: 0.000800
Training Epoch: 40 [1280/47500]	Loss: 0.2581	LR: 0.000800
Training Epoch: 40 [1536/47500]	Loss: 0.2943	LR: 0.000800
Training Epoch: 40 [1792/47500]	Loss: 0.2412	LR: 0.000800
Training Epoch: 40 [2048/47500]	Loss: 0.3256	LR: 0.000800
Training Epoch: 40 [2304/47500]	Loss: 0.2879	LR: 0.000800
Training Epoch: 40 [2560/47500]	Loss: 0.2603	LR: 0.000800
Training Epoch: 40 [2816/47500]	Loss: 0.3282	LR: 0.000800
Training Epoch: 40 [3072/47500]	Loss: 0.1732	LR: 0.000800
Training Epoch: 40 [3328/47500]	Loss: 0.2586	LR: 0.000800
Training Epoch: 40 [3584/47500]	Loss: 0.2874	LR: 0.000800
Training Epoch: 40 [3840/47500]	Loss: 0.2853	LR: 0.000800
Training Epoch: 40 [4096/47500]	Loss: 0.2624	LR: 0.000800
Training Epoch: 40 [4352/47500]	Loss: 0.2351	LR: 0.000800
Training Epoch: 40 [4608/47500]	Loss: 0.2782	LR: 0.000800
Training Epoch: 40 [4864/47500]	Loss: 0.3103	LR: 0.000800
Training Epoch: 40 [5120/47500]	Loss: 0.2116	LR: 0.000800
Training Epoch: 40 [5376/47500]	Loss: 0.3017	LR: 0.000800
Training Epoch: 40 [5632/47500]	Loss: 0.2702	LR: 0.000800
Training Epoch: 40 [5888/47500]	Loss: 0.2610	LR: 0.000800
Training Epoch: 40 [6144/47500]	Loss: 0.3247	LR: 0.000800
Training Epoch: 40 [6400/47500]	Loss: 0.3023	LR: 0.000800
Training Epoch: 40 [6656/47500]	Loss: 0.3378	LR: 0.000800
Training Epoch: 40 [6912/47500]	Loss: 0.2863	LR: 0.000800
Training Epoch: 40 [7168/47500]	Loss: 0.2429	LR: 0.000800
Training Epoch: 40 [7424/47500]	Loss: 0.2776	LR: 0.000800
Training Epoch: 40 [7680/47500]	Loss: 0.2863	LR: 0.000800
Training Epoch: 40 [7936/47500]	Loss: 0.3122	LR: 0.000800
Training Epoch: 40 [8192/47500]	Loss: 0.2717	LR: 0.000800
Training Epoch: 40 [8448/47500]	Loss: 0.2412	LR: 0.000800
Training Epoch: 40 [8704/47500]	Loss: 0.3538	LR: 0.000800
Training Epoch: 40 [8960/47500]	Loss: 0.2606	LR: 0.000800
Training Epoch: 40 [9216/47500]	Loss: 0.3504	LR: 0.000800
Training Epoch: 40 [9472/47500]	Loss: 0.3233	LR: 0.000800
Training Epoch: 40 [9728/47500]	Loss: 0.2698	LR: 0.000800
Training Epoch: 40 [9984/47500]	Loss: 0.2940	LR: 0.000800
Training Epoch: 40 [10240/47500]	Loss: 0.3640	LR: 0.000800
Training Epoch: 40 [10496/47500]	Loss: 0.2391	LR: 0.000800
Training Epoch: 40 [10752/47500]	Loss: 0.2627	LR: 0.000800
Training Epoch: 40 [11008/47500]	Loss: 0.3257	LR: 0.000800
Training Epoch: 40 [11264/47500]	Loss: 0.2951	LR: 0.000800
Training Epoch: 40 [11520/47500]	Loss: 0.2646	LR: 0.000800
Training Epoch: 40 [11776/47500]	Loss: 0.2598	LR: 0.000800
Training Epoch: 40 [12032/47500]	Loss: 0.1952	LR: 0.000800
Training Epoch: 40 [12288/47500]	Loss: 0.2474	LR: 0.000800
Training Epoch: 40 [12544/47500]	Loss: 0.3065	LR: 0.000800
Training Epoch: 40 [12800/47500]	Loss: 0.2563	LR: 0.000800
Training Epoch: 40 [13056/47500]	Loss: 0.2937	LR: 0.000800
Training Epoch: 40 [13312/47500]	Loss: 0.2138	LR: 0.000800
Training Epoch: 40 [13568/47500]	Loss: 0.2522	LR: 0.000800
Training Epoch: 40 [13824/47500]	Loss: 0.2642	LR: 0.000800
Training Epoch: 40 [14080/47500]	Loss: 0.4097	LR: 0.000800
Training Epoch: 40 [14336/47500]	Loss: 0.2733	LR: 0.000800
Training Epoch: 40 [14592/47500]	Loss: 0.2859	LR: 0.000800
Training Epoch: 40 [14848/47500]	Loss: 0.2789	LR: 0.000800
Training Epoch: 40 [15104/47500]	Loss: 0.2565	LR: 0.000800
Training Epoch: 40 [15360/47500]	Loss: 0.3006	LR: 0.000800
Training Epoch: 40 [15616/47500]	Loss: 0.2488	LR: 0.000800
Training Epoch: 40 [15872/47500]	Loss: 0.2586	LR: 0.000800
Training Epoch: 40 [16128/47500]	Loss: 0.2952	LR: 0.000800
Training Epoch: 40 [16384/47500]	Loss: 0.2987	LR: 0.000800
Training Epoch: 40 [16640/47500]	Loss: 0.2830	LR: 0.000800
Training Epoch: 40 [16896/47500]	Loss: 0.3307	LR: 0.000800
Training Epoch: 40 [17152/47500]	Loss: 0.3118	LR: 0.000800
Training Epoch: 40 [17408/47500]	Loss: 0.3003	LR: 0.000800
Training Epoch: 40 [17664/47500]	Loss: 0.2671	LR: 0.000800
Training Epoch: 40 [17920/47500]	Loss: 0.2203	LR: 0.000800
Training Epoch: 40 [18176/47500]	Loss: 0.2469	LR: 0.000800
Training Epoch: 40 [18432/47500]	Loss: 0.2748	LR: 0.000800
Training Epoch: 40 [18688/47500]	Loss: 0.3457	LR: 0.000800
Training Epoch: 40 [18944/47500]	Loss: 0.3005	LR: 0.000800
Training Epoch: 40 [19200/47500]	Loss: 0.2225	LR: 0.000800
Training Epoch: 40 [19456/47500]	Loss: 0.2619	LR: 0.000800
Training Epoch: 40 [19712/47500]	Loss: 0.2287	LR: 0.000800
Training Epoch: 40 [19968/47500]	Loss: 0.3695	LR: 0.000800
Training Epoch: 40 [20224/47500]	Loss: 0.2695	LR: 0.000800
Training Epoch: 40 [20480/47500]	Loss: 0.2021	LR: 0.000800
Training Epoch: 40 [20736/47500]	Loss: 0.2908	LR: 0.000800
Training Epoch: 40 [20992/47500]	Loss: 0.3440	LR: 0.000800
Training Epoch: 40 [21248/47500]	Loss: 0.3137	LR: 0.000800
Training Epoch: 40 [21504/47500]	Loss: 0.2726	LR: 0.000800
Training Epoch: 40 [21760/47500]	Loss: 0.2634	LR: 0.000800
Training Epoch: 40 [22016/47500]	Loss: 0.3042	LR: 0.000800
Training Epoch: 40 [22272/47500]	Loss: 0.2853	LR: 0.000800
Training Epoch: 40 [22528/47500]	Loss: 0.2582	LR: 0.000800
Training Epoch: 40 [22784/47500]	Loss: 0.2470	LR: 0.000800
Training Epoch: 40 [23040/47500]	Loss: 0.2167	LR: 0.000800
Training Epoch: 40 [23296/47500]	Loss: 0.2799	LR: 0.000800
Training Epoch: 40 [23552/47500]	Loss: 0.2844	LR: 0.000800
Training Epoch: 40 [23808/47500]	Loss: 0.2408	LR: 0.000800
Training Epoch: 40 [24064/47500]	Loss: 0.2809	LR: 0.000800
Training Epoch: 40 [24320/47500]	Loss: 0.2774	LR: 0.000800
Training Epoch: 40 [24576/47500]	Loss: 0.2956	LR: 0.000800
Training Epoch: 40 [24832/47500]	Loss: 0.2373	LR: 0.000800
Training Epoch: 40 [25088/47500]	Loss: 0.2533	LR: 0.000800
Training Epoch: 40 [25344/47500]	Loss: 0.2688	LR: 0.000800
Training Epoch: 40 [25600/47500]	Loss: 0.2696	LR: 0.000800
Training Epoch: 40 [25856/47500]	Loss: 0.2729	LR: 0.000800
Training Epoch: 40 [26112/47500]	Loss: 0.2526	LR: 0.000800
Training Epoch: 40 [26368/47500]	Loss: 0.2777	LR: 0.000800
Training Epoch: 40 [26624/47500]	Loss: 0.3105	LR: 0.000800
Training Epoch: 40 [26880/47500]	Loss: 0.2569	LR: 0.000800
Training Epoch: 40 [27136/47500]	Loss: 0.2564	LR: 0.000800
Training Epoch: 40 [27392/47500]	Loss: 0.2640	LR: 0.000800
Training Epoch: 40 [27648/47500]	Loss: 0.2730	LR: 0.000800
Training Epoch: 40 [27904/47500]	Loss: 0.2785	LR: 0.000800
Training Epoch: 40 [28160/47500]	Loss: 0.2299	LR: 0.000800
Training Epoch: 40 [28416/47500]	Loss: 0.2452	LR: 0.000800
Training Epoch: 40 [28672/47500]	Loss: 0.3282	LR: 0.000800
Training Epoch: 40 [28928/47500]	Loss: 0.2970	LR: 0.000800
Training Epoch: 40 [29184/47500]	Loss: 0.2577	LR: 0.000800
Training Epoch: 40 [29440/47500]	Loss: 0.2553	LR: 0.000800
Training Epoch: 40 [29696/47500]	Loss: 0.2989	LR: 0.000800
Training Epoch: 40 [29952/47500]	Loss: 0.2808	LR: 0.000800
Training Epoch: 40 [30208/47500]	Loss: 0.2929	LR: 0.000800
Training Epoch: 40 [30464/47500]	Loss: 0.2854	LR: 0.000800
Training Epoch: 40 [30720/47500]	Loss: 0.2316	LR: 0.000800
Training Epoch: 40 [30976/47500]	Loss: 0.2709	LR: 0.000800
Training Epoch: 40 [31232/47500]	Loss: 0.2780	LR: 0.000800
Training Epoch: 40 [31488/47500]	Loss: 0.2913	LR: 0.000800
Training Epoch: 40 [31744/47500]	Loss: 0.3019	LR: 0.000800
Training Epoch: 40 [32000/47500]	Loss: 0.3005	LR: 0.000800
Training Epoch: 40 [32256/47500]	Loss: 0.2971	LR: 0.000800
Training Epoch: 40 [32512/47500]	Loss: 0.2170	LR: 0.000800
Training Epoch: 40 [32768/47500]	Loss: 0.3212	LR: 0.000800
Training Epoch: 40 [33024/47500]	Loss: 0.2009	LR: 0.000800
Training Epoch: 40 [33280/47500]	Loss: 0.2832	LR: 0.000800
Training Epoch: 40 [33536/47500]	Loss: 0.2524	LR: 0.000800
Training Epoch: 40 [33792/47500]	Loss: 0.2398	LR: 0.000800
Training Epoch: 40 [34048/47500]	Loss: 0.2874	LR: 0.000800
Training Epoch: 40 [34304/47500]	Loss: 0.3435	LR: 0.000800
Training Epoch: 40 [34560/47500]	Loss: 0.2827	LR: 0.000800
Training Epoch: 40 [34816/47500]	Loss: 0.2735	LR: 0.000800
Training Epoch: 40 [35072/47500]	Loss: 0.2796	LR: 0.000800
Training Epoch: 40 [35328/47500]	Loss: 0.2511	LR: 0.000800
Training Epoch: 40 [35584/47500]	Loss: 0.2957	LR: 0.000800
Training Epoch: 40 [35840/47500]	Loss: 0.2483	LR: 0.000800
Training Epoch: 40 [36096/47500]	Loss: 0.3176	LR: 0.000800
Training Epoch: 40 [36352/47500]	Loss: 0.2823	LR: 0.000800
Training Epoch: 40 [36608/47500]	Loss: 0.3297	LR: 0.000800
Training Epoch: 40 [36864/47500]	Loss: 0.2555	LR: 0.000800
Training Epoch: 40 [37120/47500]	Loss: 0.3339	LR: 0.000800
Training Epoch: 40 [37376/47500]	Loss: 0.2789	LR: 0.000800
Training Epoch: 40 [37632/47500]	Loss: 0.2768	LR: 0.000800
Training Epoch: 40 [37888/47500]	Loss: 0.2999	LR: 0.000800
Training Epoch: 40 [38144/47500]	Loss: 0.2911	LR: 0.000800
Training Epoch: 40 [38400/47500]	Loss: 0.2934	LR: 0.000800
Training Epoch: 40 [38656/47500]	Loss: 0.3466	LR: 0.000800
Training Epoch: 40 [38912/47500]	Loss: 0.2372	LR: 0.000800
Training Epoch: 40 [39168/47500]	Loss: 0.3144	LR: 0.000800
Training Epoch: 40 [39424/47500]	Loss: 0.2651	LR: 0.000800
Training Epoch: 40 [39680/47500]	Loss: 0.1838	LR: 0.000800
Training Epoch: 40 [39936/47500]	Loss: 0.3613	LR: 0.000800
Training Epoch: 40 [40192/47500]	Loss: 0.2684	LR: 0.000800
Training Epoch: 40 [40448/47500]	Loss: 0.2783	LR: 0.000800
Training Epoch: 40 [40704/47500]	Loss: 0.3034	LR: 0.000800
Training Epoch: 40 [40960/47500]	Loss: 0.2644	LR: 0.000800
Training Epoch: 40 [41216/47500]	Loss: 0.2945	LR: 0.000800
Training Epoch: 40 [41472/47500]	Loss: 0.2842	LR: 0.000800
Training Epoch: 40 [41728/47500]	Loss: 0.3187	LR: 0.000800
Training Epoch: 40 [41984/47500]	Loss: 0.2794	LR: 0.000800
Training Epoch: 40 [42240/47500]	Loss: 0.2146	LR: 0.000800
Training Epoch: 40 [42496/47500]	Loss: 0.2256	LR: 0.000800
Training Epoch: 40 [42752/47500]	Loss: 0.2730	LR: 0.000800
Training Epoch: 40 [43008/47500]	Loss: 0.2843	LR: 0.000800
Training Epoch: 40 [43264/47500]	Loss: 0.3166	LR: 0.000800
Training Epoch: 40 [43520/47500]	Loss: 0.3053	LR: 0.000800
Training Epoch: 40 [43776/47500]	Loss: 0.2549	LR: 0.000800
Training Epoch: 40 [44032/47500]	Loss: 0.3136	LR: 0.000800
Training Epoch: 40 [44288/47500]	Loss: 0.2645	LR: 0.000800
Training Epoch: 40 [44544/47500]	Loss: 0.3141	LR: 0.000800
Training Epoch: 40 [44800/47500]	Loss: 0.2588	LR: 0.000800
Training Epoch: 40 [45056/47500]	Loss: 0.2621	LR: 0.000800
Training Epoch: 40 [45312/47500]	Loss: 0.2399	LR: 0.000800
Training Epoch: 40 [45568/47500]	Loss: 0.2160	LR: 0.000800
Training Epoch: 40 [45824/47500]	Loss: 0.3185	LR: 0.000800
Training Epoch: 40 [46080/47500]	Loss: 0.2966	LR: 0.000800
Training Epoch: 40 [46336/47500]	Loss: 0.2803	LR: 0.000800
Training Epoch: 40 [46592/47500]	Loss: 0.2706	LR: 0.000800
Training Epoch: 40 [46848/47500]	Loss: 0.2479	LR: 0.000800
Training Epoch: 40 [47104/47500]	Loss: 0.1971	LR: 0.000800
Training Epoch: 40 [47360/47500]	Loss: 0.2824	LR: 0.000800
Training Epoch: 40 [47500/47500]	Loss: 0.2904	LR: 0.000800
Epoch 40 - Average Train Loss: 0.2780, Train Accuracy: 0.9181
Epoch 40 training time consumed: 25.98s
Evaluating Network.....
Test set: Epoch: 40, Average loss: 0.0029, Accuracy: 0.7883, Time consumed:0.91s
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: 78.88671875
Retain Accuracy: 92.4665756225586
Zero-Retain Forget (ZRF): 0.9136471152305603
Membership Inference Attack (MIA): 0.4468
Forget vs Retain Membership Inference Attack (MIA): 0.523
Forget vs Test Membership Inference Attack (MIA): 0.555
Test vs Retain Membership Inference Attack (MIA): 0.4955
Train vs Test Membership Inference Attack (MIA): 0.5635
Forget Set Accuracy (Df): 78.10984802246094
Method Execution Time: 1577.90 seconds
