
📌 Retain class distribution for seed 4:
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

📌 Forget class distribution for seed 4:
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: 3.2133	LR: 0.000000
Training Epoch: 1 [512/47500]	Loss: 3.1658	LR: 0.000538
Training Epoch: 1 [768/47500]	Loss: 3.1281	LR: 0.001075
Training Epoch: 1 [1024/47500]	Loss: 3.0599	LR: 0.001613
Training Epoch: 1 [1280/47500]	Loss: 3.0816	LR: 0.002151
Training Epoch: 1 [1536/47500]	Loss: 3.0463	LR: 0.002688
Training Epoch: 1 [1792/47500]	Loss: 2.9757	LR: 0.003226
Training Epoch: 1 [2048/47500]	Loss: 2.9144	LR: 0.003763
Training Epoch: 1 [2304/47500]	Loss: 2.9671	LR: 0.004301
Training Epoch: 1 [2560/47500]	Loss: 2.9092	LR: 0.004839
Training Epoch: 1 [2816/47500]	Loss: 2.8994	LR: 0.005376
Training Epoch: 1 [3072/47500]	Loss: 2.9216	LR: 0.005914
Training Epoch: 1 [3328/47500]	Loss: 3.1172	LR: 0.006452
Training Epoch: 1 [3584/47500]	Loss: 2.8978	LR: 0.006989
Training Epoch: 1 [3840/47500]	Loss: 3.0149	LR: 0.007527
Training Epoch: 1 [4096/47500]	Loss: 2.8929	LR: 0.008065
Training Epoch: 1 [4352/47500]	Loss: 2.7673	LR: 0.008602
Training Epoch: 1 [4608/47500]	Loss: 2.7984	LR: 0.009140
Training Epoch: 1 [4864/47500]	Loss: 2.7429	LR: 0.009677
Training Epoch: 1 [5120/47500]	Loss: 2.8315	LR: 0.010215
Training Epoch: 1 [5376/47500]	Loss: 2.7231	LR: 0.010753
Training Epoch: 1 [5632/47500]	Loss: 2.6885	LR: 0.011290
Training Epoch: 1 [5888/47500]	Loss: 2.6419	LR: 0.011828
Training Epoch: 1 [6144/47500]	Loss: 2.7900	LR: 0.012366
Training Epoch: 1 [6400/47500]	Loss: 2.7191	LR: 0.012903
Training Epoch: 1 [6656/47500]	Loss: 2.6020	LR: 0.013441
Training Epoch: 1 [6912/47500]	Loss: 2.5814	LR: 0.013978
Training Epoch: 1 [7168/47500]	Loss: 2.6642	LR: 0.014516
Training Epoch: 1 [7424/47500]	Loss: 2.6774	LR: 0.015054
Training Epoch: 1 [7680/47500]	Loss: 2.6192	LR: 0.015591
Training Epoch: 1 [7936/47500]	Loss: 2.5744	LR: 0.016129
Training Epoch: 1 [8192/47500]	Loss: 2.6283	LR: 0.016667
Training Epoch: 1 [8448/47500]	Loss: 2.7252	LR: 0.017204
Training Epoch: 1 [8704/47500]	Loss: 2.5399	LR: 0.017742
Training Epoch: 1 [8960/47500]	Loss: 2.6884	LR: 0.018280
Training Epoch: 1 [9216/47500]	Loss: 2.8853	LR: 0.018817
Training Epoch: 1 [9472/47500]	Loss: 2.5083	LR: 0.019355
Training Epoch: 1 [9728/47500]	Loss: 2.6346	LR: 0.019892
Training Epoch: 1 [9984/47500]	Loss: 2.6135	LR: 0.020430
Training Epoch: 1 [10240/47500]	Loss: 2.6722	LR: 0.020968
Training Epoch: 1 [10496/47500]	Loss: 2.5802	LR: 0.021505
Training Epoch: 1 [10752/47500]	Loss: 2.8126	LR: 0.022043
Training Epoch: 1 [11008/47500]	Loss: 2.6236	LR: 0.022581
Training Epoch: 1 [11264/47500]	Loss: 2.7083	LR: 0.023118
Training Epoch: 1 [11520/47500]	Loss: 2.5618	LR: 0.023656
Training Epoch: 1 [11776/47500]	Loss: 2.6665	LR: 0.024194
Training Epoch: 1 [12032/47500]	Loss: 2.5192	LR: 0.024731
Training Epoch: 1 [12288/47500]	Loss: 2.5731	LR: 0.025269
Training Epoch: 1 [12544/47500]	Loss: 2.6501	LR: 0.025806
Training Epoch: 1 [12800/47500]	Loss: 2.7395	LR: 0.026344
Training Epoch: 1 [13056/47500]	Loss: 2.5411	LR: 0.026882
Training Epoch: 1 [13312/47500]	Loss: 2.5833	LR: 0.027419
Training Epoch: 1 [13568/47500]	Loss: 2.5538	LR: 0.027957
Training Epoch: 1 [13824/47500]	Loss: 2.5424	LR: 0.028495
Training Epoch: 1 [14080/47500]	Loss: 2.5849	LR: 0.029032
Training Epoch: 1 [14336/47500]	Loss: 2.6076	LR: 0.029570
Training Epoch: 1 [14592/47500]	Loss: 2.6452	LR: 0.030108
Training Epoch: 1 [14848/47500]	Loss: 2.3872	LR: 0.030645
Training Epoch: 1 [15104/47500]	Loss: 2.4520	LR: 0.031183
Training Epoch: 1 [15360/47500]	Loss: 2.6945	LR: 0.031720
Training Epoch: 1 [15616/47500]	Loss: 2.5456	LR: 0.032258
Training Epoch: 1 [15872/47500]	Loss: 2.6262	LR: 0.032796
Training Epoch: 1 [16128/47500]	Loss: 2.4656	LR: 0.033333
Training Epoch: 1 [16384/47500]	Loss: 2.5987	LR: 0.033871
Training Epoch: 1 [16640/47500]	Loss: 2.6516	LR: 0.034409
Training Epoch: 1 [16896/47500]	Loss: 2.7159	LR: 0.034946
Training Epoch: 1 [17152/47500]	Loss: 2.5238	LR: 0.035484
Training Epoch: 1 [17408/47500]	Loss: 2.4772	LR: 0.036022
Training Epoch: 1 [17664/47500]	Loss: 2.6402	LR: 0.036559
Training Epoch: 1 [17920/47500]	Loss: 2.5027	LR: 0.037097
Training Epoch: 1 [18176/47500]	Loss: 2.5144	LR: 0.037634
Training Epoch: 1 [18432/47500]	Loss: 2.6524	LR: 0.038172
Training Epoch: 1 [18688/47500]	Loss: 2.6105	LR: 0.038710
Training Epoch: 1 [18944/47500]	Loss: 2.4445	LR: 0.039247
Training Epoch: 1 [19200/47500]	Loss: 2.5692	LR: 0.039785
Training Epoch: 1 [19456/47500]	Loss: 2.4909	LR: 0.040323
Training Epoch: 1 [19712/47500]	Loss: 2.4952	LR: 0.040860
Training Epoch: 1 [19968/47500]	Loss: 2.6232	LR: 0.041398
Training Epoch: 1 [20224/47500]	Loss: 2.5534	LR: 0.041935
Training Epoch: 1 [20480/47500]	Loss: 2.4639	LR: 0.042473
Training Epoch: 1 [20736/47500]	Loss: 2.5064	LR: 0.043011
Training Epoch: 1 [20992/47500]	Loss: 2.4602	LR: 0.043548
Training Epoch: 1 [21248/47500]	Loss: 2.5058	LR: 0.044086
Training Epoch: 1 [21504/47500]	Loss: 2.4650	LR: 0.044624
Training Epoch: 1 [21760/47500]	Loss: 2.4102	LR: 0.045161
Training Epoch: 1 [22016/47500]	Loss: 2.5729	LR: 0.045699
Training Epoch: 1 [22272/47500]	Loss: 2.6072	LR: 0.046237
Training Epoch: 1 [22528/47500]	Loss: 2.6224	LR: 0.046774
Training Epoch: 1 [22784/47500]	Loss: 2.5747	LR: 0.047312
Training Epoch: 1 [23040/47500]	Loss: 2.5674	LR: 0.047849
Training Epoch: 1 [23296/47500]	Loss: 2.5303	LR: 0.048387
Training Epoch: 1 [23552/47500]	Loss: 2.6740	LR: 0.048925
Training Epoch: 1 [23808/47500]	Loss: 2.4562	LR: 0.049462
Training Epoch: 1 [24064/47500]	Loss: 2.4576	LR: 0.050000
Training Epoch: 1 [24320/47500]	Loss: 2.4771	LR: 0.050538
Training Epoch: 1 [24576/47500]	Loss: 2.4517	LR: 0.051075
Training Epoch: 1 [24832/47500]	Loss: 2.5129	LR: 0.051613
Training Epoch: 1 [25088/47500]	Loss: 2.5355	LR: 0.052151
Training Epoch: 1 [25344/47500]	Loss: 2.4701	LR: 0.052688
Training Epoch: 1 [25600/47500]	Loss: 2.5578	LR: 0.053226
Training Epoch: 1 [25856/47500]	Loss: 2.5600	LR: 0.053763
Training Epoch: 1 [26112/47500]	Loss: 2.3937	LR: 0.054301
Training Epoch: 1 [26368/47500]	Loss: 2.5086	LR: 0.054839
Training Epoch: 1 [26624/47500]	Loss: 2.4958	LR: 0.055376
Training Epoch: 1 [26880/47500]	Loss: 2.4355	LR: 0.055914
Training Epoch: 1 [27136/47500]	Loss: 2.5116	LR: 0.056452
Training Epoch: 1 [27392/47500]	Loss: 2.4487	LR: 0.056989
Training Epoch: 1 [27648/47500]	Loss: 2.6722	LR: 0.057527
Training Epoch: 1 [27904/47500]	Loss: 2.6236	LR: 0.058065
Training Epoch: 1 [28160/47500]	Loss: 2.5898	LR: 0.058602
Training Epoch: 1 [28416/47500]	Loss: 2.5027	LR: 0.059140
Training Epoch: 1 [28672/47500]	Loss: 2.5062	LR: 0.059677
Training Epoch: 1 [28928/47500]	Loss: 2.7069	LR: 0.060215
Training Epoch: 1 [29184/47500]	Loss: 2.5884	LR: 0.060753
Training Epoch: 1 [29440/47500]	Loss: 2.5208	LR: 0.061290
Training Epoch: 1 [29696/47500]	Loss: 2.5261	LR: 0.061828
Training Epoch: 1 [29952/47500]	Loss: 2.5716	LR: 0.062366
Training Epoch: 1 [30208/47500]	Loss: 2.4382	LR: 0.062903
Training Epoch: 1 [30464/47500]	Loss: 2.5134	LR: 0.063441
Training Epoch: 1 [30720/47500]	Loss: 2.5502	LR: 0.063978
Training Epoch: 1 [30976/47500]	Loss: 2.5431	LR: 0.064516
Training Epoch: 1 [31232/47500]	Loss: 2.4764	LR: 0.065054
Training Epoch: 1 [31488/47500]	Loss: 2.3663	LR: 0.065591
Training Epoch: 1 [31744/47500]	Loss: 2.3024	LR: 0.066129
Training Epoch: 1 [32000/47500]	Loss: 2.4821	LR: 0.066667
Training Epoch: 1 [32256/47500]	Loss: 2.4750	LR: 0.067204
Training Epoch: 1 [32512/47500]	Loss: 2.3226	LR: 0.067742
Training Epoch: 1 [32768/47500]	Loss: 2.5020	LR: 0.068280
Training Epoch: 1 [33024/47500]	Loss: 2.3669	LR: 0.068817
Training Epoch: 1 [33280/47500]	Loss: 2.4308	LR: 0.069355
Training Epoch: 1 [33536/47500]	Loss: 2.5573	LR: 0.069892
Training Epoch: 1 [33792/47500]	Loss: 2.4707	LR: 0.070430
Training Epoch: 1 [34048/47500]	Loss: 2.5417	LR: 0.070968
Training Epoch: 1 [34304/47500]	Loss: 2.5080	LR: 0.071505
Training Epoch: 1 [34560/47500]	Loss: 2.4977	LR: 0.072043
Training Epoch: 1 [34816/47500]	Loss: 2.5231	LR: 0.072581
Training Epoch: 1 [35072/47500]	Loss: 2.4293	LR: 0.073118
Training Epoch: 1 [35328/47500]	Loss: 2.5223	LR: 0.073656
Training Epoch: 1 [35584/47500]	Loss: 2.3487	LR: 0.074194
Training Epoch: 1 [35840/47500]	Loss: 2.4039	LR: 0.074731
Training Epoch: 1 [36096/47500]	Loss: 2.5259	LR: 0.075269
Training Epoch: 1 [36352/47500]	Loss: 2.3563	LR: 0.075806
Training Epoch: 1 [36608/47500]	Loss: 2.4502	LR: 0.076344
Training Epoch: 1 [36864/47500]	Loss: 2.5340	LR: 0.076882
Training Epoch: 1 [37120/47500]	Loss: 2.4018	LR: 0.077419
Training Epoch: 1 [37376/47500]	Loss: 2.5202	LR: 0.077957
Training Epoch: 1 [37632/47500]	Loss: 2.2995	LR: 0.078495
Training Epoch: 1 [37888/47500]	Loss: 2.5243	LR: 0.079032
Training Epoch: 1 [38144/47500]	Loss: 2.4563	LR: 0.079570
Training Epoch: 1 [38400/47500]	Loss: 2.4130	LR: 0.080108
Training Epoch: 1 [38656/47500]	Loss: 2.5442	LR: 0.080645
Training Epoch: 1 [38912/47500]	Loss: 2.5987	LR: 0.081183
Training Epoch: 1 [39168/47500]	Loss: 2.4523	LR: 0.081720
Training Epoch: 1 [39424/47500]	Loss: 2.4717	LR: 0.082258
Training Epoch: 1 [39680/47500]	Loss: 2.4728	LR: 0.082796
Training Epoch: 1 [39936/47500]	Loss: 2.4572	LR: 0.083333
Training Epoch: 1 [40192/47500]	Loss: 2.4795	LR: 0.083871
Training Epoch: 1 [40448/47500]	Loss: 2.4937	LR: 0.084409
Training Epoch: 1 [40704/47500]	Loss: 2.2021	LR: 0.084946
Training Epoch: 1 [40960/47500]	Loss: 2.2049	LR: 0.085484
Training Epoch: 1 [41216/47500]	Loss: 2.2812	LR: 0.086022
Training Epoch: 1 [41472/47500]	Loss: 2.2745	LR: 0.086559
Training Epoch: 1 [41728/47500]	Loss: 2.5493	LR: 0.087097
Training Epoch: 1 [41984/47500]	Loss: 2.3431	LR: 0.087634
Training Epoch: 1 [42240/47500]	Loss: 2.3231	LR: 0.088172
Training Epoch: 1 [42496/47500]	Loss: 2.3207	LR: 0.088710
Training Epoch: 1 [42752/47500]	Loss: 2.4023	LR: 0.089247
Training Epoch: 1 [43008/47500]	Loss: 2.5806	LR: 0.089785
Training Epoch: 1 [43264/47500]	Loss: 2.4667	LR: 0.090323
Training Epoch: 1 [43520/47500]	Loss: 2.3879	LR: 0.090860
Training Epoch: 1 [43776/47500]	Loss: 2.3340	LR: 0.091398
Training Epoch: 1 [44032/47500]	Loss: 2.3198	LR: 0.091935
Training Epoch: 1 [44288/47500]	Loss: 2.3366	LR: 0.092473
Training Epoch: 1 [44544/47500]	Loss: 2.4102	LR: 0.093011
Training Epoch: 1 [44800/47500]	Loss: 2.3036	LR: 0.093548
Training Epoch: 1 [45056/47500]	Loss: 2.3429	LR: 0.094086
Training Epoch: 1 [45312/47500]	Loss: 2.3040	LR: 0.094624
Training Epoch: 1 [45568/47500]	Loss: 2.3240	LR: 0.095161
Training Epoch: 1 [45824/47500]	Loss: 2.2892	LR: 0.095699
Training Epoch: 1 [46080/47500]	Loss: 2.3352	LR: 0.096237
Training Epoch: 1 [46336/47500]	Loss: 2.3433	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 2.4467	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 2.3255	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 2.3313	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 2.4029	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 2.4301	LR: 0.099462
Epoch 1 - Average Train Loss: 2.5607, Train Accuracy: 0.2122
Epoch 1 training time consumed: 29.09s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0102, Accuracy: 0.2410, Time consumed:1.03s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_19h_23m_08s/ResNet18-Cifar20-seed4-ret50-1-best.pth
Training Epoch: 2 [256/47500]	Loss: 2.4067	LR: 0.100000
Training Epoch: 2 [512/47500]	Loss: 2.4130	LR: 0.100000
Training Epoch: 2 [768/47500]	Loss: 2.4087	LR: 0.100000
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Epoch 2 - Average Train Loss: 2.1773, Train Accuracy: 0.3241
Epoch 2 training time consumed: 28.28s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0087, Accuracy: 0.3472, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_19h_23m_08s/ResNet18-Cifar20-seed4-ret50-2-best.pth
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Training Epoch: 3 [47500/47500]	Loss: 1.8211	LR: 0.100000
Epoch 3 - Average Train Loss: 1.9194, Train Accuracy: 0.3988
Epoch 3 training time consumed: 28.46s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0081, Accuracy: 0.3900, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_19h_23m_08s/ResNet18-Cifar20-seed4-ret50-3-best.pth
Training Epoch: 4 [256/47500]	Loss: 1.9032	LR: 0.100000
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Training Epoch: 4 [47500/47500]	Loss: 1.6608	LR: 0.100000
Epoch 4 - Average Train Loss: 1.7411, Train Accuracy: 0.4505
Epoch 4 training time consumed: 28.35s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0069, Accuracy: 0.4544, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_19h_23m_08s/ResNet18-Cifar20-seed4-ret50-4-best.pth
Training Epoch: 5 [256/47500]	Loss: 1.6131	LR: 0.100000
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Epoch 5 - Average Train Loss: 1.5639, Train Accuracy: 0.5015
Epoch 5 training time consumed: 28.40s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0067, Accuracy: 0.4901, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_19h_23m_08s/ResNet18-Cifar20-seed4-ret50-5-best.pth
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Epoch 6 - Average Train Loss: 1.4219, Train Accuracy: 0.5454
Epoch 6 training time consumed: 28.32s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0055, Accuracy: 0.5677, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_19h_23m_08s/ResNet18-Cifar20-seed4-ret50-6-best.pth
Training Epoch: 7 [256/47500]	Loss: 1.3629	LR: 0.100000
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Training Epoch: 7 [47500/47500]	Loss: 1.2774	LR: 0.100000
Epoch 7 - Average Train Loss: 1.3099, Train Accuracy: 0.5793
Epoch 7 training time consumed: 28.34s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0060, Accuracy: 0.5410, Time consumed:0.87s
Training Epoch: 8 [256/47500]	Loss: 1.1455	LR: 0.100000
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Epoch 8 - Average Train Loss: 1.2110, Train Accuracy: 0.6100
Epoch 8 training time consumed: 28.32s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0052, Accuracy: 0.5900, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_19h_23m_08s/ResNet18-Cifar20-seed4-ret50-8-best.pth
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Training Epoch: 9 [47500/47500]	Loss: 1.0241	LR: 0.100000
Epoch 9 - Average Train Loss: 1.1395, Train Accuracy: 0.6331
Epoch 9 training time consumed: 28.47s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0046, Accuracy: 0.6301, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_19h_23m_08s/ResNet18-Cifar20-seed4-ret50-9-best.pth
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Training Epoch: 10 [47500/47500]	Loss: 1.2227	LR: 0.100000
Epoch 10 - Average Train Loss: 1.0710, Train Accuracy: 0.6545
Epoch 10 training time consumed: 28.22s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0049, Accuracy: 0.6121, Time consumed:0.94s
Training Epoch: 11 [256/47500]	Loss: 1.0832	LR: 0.100000
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Training Epoch: 11 [47500/47500]	Loss: 0.9484	LR: 0.100000
Epoch 11 - Average Train Loss: 1.0215, Train Accuracy: 0.6721
Epoch 11 training time consumed: 28.24s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0046, Accuracy: 0.6414, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_19h_23m_08s/ResNet18-Cifar20-seed4-ret50-11-best.pth
Training Epoch: 12 [256/47500]	Loss: 0.9081	LR: 0.100000
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Training Epoch: 12 [47500/47500]	Loss: 1.0548	LR: 0.100000
Epoch 12 - Average Train Loss: 0.9786, Train Accuracy: 0.6834
Epoch 12 training time consumed: 28.37s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0047, Accuracy: 0.6369, Time consumed:0.93s
Training Epoch: 13 [256/47500]	Loss: 1.0238	LR: 0.100000
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Epoch 13 - Average Train Loss: 0.9387, Train Accuracy: 0.6969
Epoch 13 training time consumed: 28.28s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0042, Accuracy: 0.6603, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_19h_23m_08s/ResNet18-Cifar20-seed4-ret50-13-best.pth
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Training Epoch: 14 [47500/47500]	Loss: 0.8758	LR: 0.100000
Epoch 14 - Average Train Loss: 0.9088, Train Accuracy: 0.7061
Epoch 14 training time consumed: 28.30s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0044, Accuracy: 0.6596, Time consumed:0.91s
Training Epoch: 15 [256/47500]	Loss: 0.8201	LR: 0.020000
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Training Epoch: 15 [47500/47500]	Loss: 0.6477	LR: 0.020000
Epoch 15 - Average Train Loss: 0.6735, Train Accuracy: 0.7827
Epoch 15 training time consumed: 28.39s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0030, Accuracy: 0.7610, Time consumed:0.87s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_19h_23m_08s/ResNet18-Cifar20-seed4-ret50-15-best.pth
Training Epoch: 16 [256/47500]	Loss: 0.6006	LR: 0.020000
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Training Epoch: 16 [47500/47500]	Loss: 0.6079	LR: 0.020000
Epoch 16 - Average Train Loss: 0.5940, Train Accuracy: 0.8069
Epoch 16 training time consumed: 28.43s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0028, Accuracy: 0.7770, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_19h_23m_08s/ResNet18-Cifar20-seed4-ret50-16-best.pth
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Training Epoch: 17 [36352/47500]	Loss: 0.6424	LR: 0.020000
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Training Epoch: 17 [36864/47500]	Loss: 0.6280	LR: 0.020000
Training Epoch: 17 [37120/47500]	Loss: 0.4682	LR: 0.020000
Training Epoch: 17 [37376/47500]	Loss: 0.4840	LR: 0.020000
Training Epoch: 17 [37632/47500]	Loss: 0.5316	LR: 0.020000
Training Epoch: 17 [37888/47500]	Loss: 0.5457	LR: 0.020000
Training Epoch: 17 [38144/47500]	Loss: 0.5381	LR: 0.020000
Training Epoch: 17 [38400/47500]	Loss: 0.4762	LR: 0.020000
Training Epoch: 17 [38656/47500]	Loss: 0.5450	LR: 0.020000
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Training Epoch: 17 [39424/47500]	Loss: 0.6338	LR: 0.020000
Training Epoch: 17 [39680/47500]	Loss: 0.4556	LR: 0.020000
Training Epoch: 17 [39936/47500]	Loss: 0.5105	LR: 0.020000
Training Epoch: 17 [40192/47500]	Loss: 0.5828	LR: 0.020000
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Training Epoch: 17 [40704/47500]	Loss: 0.5928	LR: 0.020000
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Training Epoch: 17 [41728/47500]	Loss: 0.5030	LR: 0.020000
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Training Epoch: 17 [42240/47500]	Loss: 0.5047	LR: 0.020000
Training Epoch: 17 [42496/47500]	Loss: 0.5829	LR: 0.020000
Training Epoch: 17 [42752/47500]	Loss: 0.5982	LR: 0.020000
Training Epoch: 17 [43008/47500]	Loss: 0.6242	LR: 0.020000
Training Epoch: 17 [43264/47500]	Loss: 0.6193	LR: 0.020000
Training Epoch: 17 [43520/47500]	Loss: 0.5365	LR: 0.020000
Training Epoch: 17 [43776/47500]	Loss: 0.6262	LR: 0.020000
Training Epoch: 17 [44032/47500]	Loss: 0.7258	LR: 0.020000
Training Epoch: 17 [44288/47500]	Loss: 0.5791	LR: 0.020000
Training Epoch: 17 [44544/47500]	Loss: 0.5283	LR: 0.020000
Training Epoch: 17 [44800/47500]	Loss: 0.5252	LR: 0.020000
Training Epoch: 17 [45056/47500]	Loss: 0.6251	LR: 0.020000
Training Epoch: 17 [45312/47500]	Loss: 0.7108	LR: 0.020000
Training Epoch: 17 [45568/47500]	Loss: 0.6158	LR: 0.020000
Training Epoch: 17 [45824/47500]	Loss: 0.6325	LR: 0.020000
Training Epoch: 17 [46080/47500]	Loss: 0.5253	LR: 0.020000
Training Epoch: 17 [46336/47500]	Loss: 0.7234	LR: 0.020000
Training Epoch: 17 [46592/47500]	Loss: 0.5075	LR: 0.020000
Training Epoch: 17 [46848/47500]	Loss: 0.5010	LR: 0.020000
Training Epoch: 17 [47104/47500]	Loss: 0.5862	LR: 0.020000
Training Epoch: 17 [47360/47500]	Loss: 0.5572	LR: 0.020000
Training Epoch: 17 [47500/47500]	Loss: 0.5050	LR: 0.020000
Epoch 17 - Average Train Loss: 0.5534, Train Accuracy: 0.8212
Epoch 17 training time consumed: 28.35s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0029, Accuracy: 0.7724, Time consumed:0.96s
Training Epoch: 18 [256/47500]	Loss: 0.5898	LR: 0.020000
Training Epoch: 18 [512/47500]	Loss: 0.5599	LR: 0.020000
Training Epoch: 18 [768/47500]	Loss: 0.5227	LR: 0.020000
Training Epoch: 18 [1024/47500]	Loss: 0.5127	LR: 0.020000
Training Epoch: 18 [1280/47500]	Loss: 0.5151	LR: 0.020000
Training Epoch: 18 [1536/47500]	Loss: 0.5590	LR: 0.020000
Training Epoch: 18 [1792/47500]	Loss: 0.4410	LR: 0.020000
Training Epoch: 18 [2048/47500]	Loss: 0.4435	LR: 0.020000
Training Epoch: 18 [2304/47500]	Loss: 0.5263	LR: 0.020000
Training Epoch: 18 [2560/47500]	Loss: 0.5702	LR: 0.020000
Training Epoch: 18 [2816/47500]	Loss: 0.4994	LR: 0.020000
Training Epoch: 18 [3072/47500]	Loss: 0.5320	LR: 0.020000
Training Epoch: 18 [3328/47500]	Loss: 0.4671	LR: 0.020000
Training Epoch: 18 [3584/47500]	Loss: 0.5400	LR: 0.020000
Training Epoch: 18 [3840/47500]	Loss: 0.4884	LR: 0.020000
Training Epoch: 18 [4096/47500]	Loss: 0.5192	LR: 0.020000
Training Epoch: 18 [4352/47500]	Loss: 0.5397	LR: 0.020000
Training Epoch: 18 [4608/47500]	Loss: 0.4229	LR: 0.020000
Training Epoch: 18 [4864/47500]	Loss: 0.5183	LR: 0.020000
Training Epoch: 18 [5120/47500]	Loss: 0.5444	LR: 0.020000
Training Epoch: 18 [5376/47500]	Loss: 0.4659	LR: 0.020000
Training Epoch: 18 [5632/47500]	Loss: 0.4947	LR: 0.020000
Training Epoch: 18 [5888/47500]	Loss: 0.5238	LR: 0.020000
Training Epoch: 18 [6144/47500]	Loss: 0.5008	LR: 0.020000
Training Epoch: 18 [6400/47500]	Loss: 0.4969	LR: 0.020000
Training Epoch: 18 [6656/47500]	Loss: 0.4795	LR: 0.020000
Training Epoch: 18 [6912/47500]	Loss: 0.4466	LR: 0.020000
Training Epoch: 18 [7168/47500]	Loss: 0.4640	LR: 0.020000
Training Epoch: 18 [7424/47500]	Loss: 0.5459	LR: 0.020000
Training Epoch: 18 [7680/47500]	Loss: 0.5340	LR: 0.020000
Training Epoch: 18 [7936/47500]	Loss: 0.5558	LR: 0.020000
Training Epoch: 18 [8192/47500]	Loss: 0.6756	LR: 0.020000
Training Epoch: 18 [8448/47500]	Loss: 0.4761	LR: 0.020000
Training Epoch: 18 [8704/47500]	Loss: 0.4919	LR: 0.020000
Training Epoch: 18 [8960/47500]	Loss: 0.5037	LR: 0.020000
Training Epoch: 18 [9216/47500]	Loss: 0.5393	LR: 0.020000
Training Epoch: 18 [9472/47500]	Loss: 0.4833	LR: 0.020000
Training Epoch: 18 [9728/47500]	Loss: 0.4916	LR: 0.020000
Training Epoch: 18 [9984/47500]	Loss: 0.4423	LR: 0.020000
Training Epoch: 18 [10240/47500]	Loss: 0.6214	LR: 0.020000
Training Epoch: 18 [10496/47500]	Loss: 0.5538	LR: 0.020000
Training Epoch: 18 [10752/47500]	Loss: 0.5851	LR: 0.020000
Training Epoch: 18 [11008/47500]	Loss: 0.4651	LR: 0.020000
Training Epoch: 18 [11264/47500]	Loss: 0.4763	LR: 0.020000
Training Epoch: 18 [11520/47500]	Loss: 0.5050	LR: 0.020000
Training Epoch: 18 [11776/47500]	Loss: 0.5203	LR: 0.020000
Training Epoch: 18 [12032/47500]	Loss: 0.5956	LR: 0.020000
Training Epoch: 18 [12288/47500]	Loss: 0.4907	LR: 0.020000
Training Epoch: 18 [12544/47500]	Loss: 0.4576	LR: 0.020000
Training Epoch: 18 [12800/47500]	Loss: 0.5784	LR: 0.020000
Training Epoch: 18 [13056/47500]	Loss: 0.4975	LR: 0.020000
Training Epoch: 18 [13312/47500]	Loss: 0.5403	LR: 0.020000
Training Epoch: 18 [13568/47500]	Loss: 0.5044	LR: 0.020000
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Training Epoch: 18 [14080/47500]	Loss: 0.5325	LR: 0.020000
Training Epoch: 18 [14336/47500]	Loss: 0.4607	LR: 0.020000
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Training Epoch: 18 [15872/47500]	Loss: 0.6119	LR: 0.020000
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Training Epoch: 18 [36608/47500]	Loss: 0.5728	LR: 0.020000
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Training Epoch: 18 [37120/47500]	Loss: 0.4954	LR: 0.020000
Training Epoch: 18 [37376/47500]	Loss: 0.4625	LR: 0.020000
Training Epoch: 18 [37632/47500]	Loss: 0.5089	LR: 0.020000
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Training Epoch: 18 [38144/47500]	Loss: 0.5497	LR: 0.020000
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Training Epoch: 18 [39424/47500]	Loss: 0.4795	LR: 0.020000
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Training Epoch: 18 [40448/47500]	Loss: 0.4397	LR: 0.020000
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Training Epoch: 18 [41728/47500]	Loss: 0.5480	LR: 0.020000
Training Epoch: 18 [41984/47500]	Loss: 0.6155	LR: 0.020000
Training Epoch: 18 [42240/47500]	Loss: 0.4100	LR: 0.020000
Training Epoch: 18 [42496/47500]	Loss: 0.5537	LR: 0.020000
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Training Epoch: 18 [43008/47500]	Loss: 0.4996	LR: 0.020000
Training Epoch: 18 [43264/47500]	Loss: 0.4883	LR: 0.020000
Training Epoch: 18 [43520/47500]	Loss: 0.4906	LR: 0.020000
Training Epoch: 18 [43776/47500]	Loss: 0.5322	LR: 0.020000
Training Epoch: 18 [44032/47500]	Loss: 0.5370	LR: 0.020000
Training Epoch: 18 [44288/47500]	Loss: 0.5066	LR: 0.020000
Training Epoch: 18 [44544/47500]	Loss: 0.6367	LR: 0.020000
Training Epoch: 18 [44800/47500]	Loss: 0.5684	LR: 0.020000
Training Epoch: 18 [45056/47500]	Loss: 0.4313	LR: 0.020000
Training Epoch: 18 [45312/47500]	Loss: 0.4440	LR: 0.020000
Training Epoch: 18 [45568/47500]	Loss: 0.5263	LR: 0.020000
Training Epoch: 18 [45824/47500]	Loss: 0.4740	LR: 0.020000
Training Epoch: 18 [46080/47500]	Loss: 0.5147	LR: 0.020000
Training Epoch: 18 [46336/47500]	Loss: 0.6398	LR: 0.020000
Training Epoch: 18 [46592/47500]	Loss: 0.5012	LR: 0.020000
Training Epoch: 18 [46848/47500]	Loss: 0.5747	LR: 0.020000
Training Epoch: 18 [47104/47500]	Loss: 0.5296	LR: 0.020000
Training Epoch: 18 [47360/47500]	Loss: 0.6026	LR: 0.020000
Training Epoch: 18 [47500/47500]	Loss: 0.4314	LR: 0.020000
Epoch 18 - Average Train Loss: 0.5231, Train Accuracy: 0.8277
Epoch 18 training time consumed: 28.35s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0030, Accuracy: 0.7662, Time consumed:0.88s
Training Epoch: 19 [256/47500]	Loss: 0.5119	LR: 0.020000
Training Epoch: 19 [512/47500]	Loss: 0.5239	LR: 0.020000
Training Epoch: 19 [768/47500]	Loss: 0.5187	LR: 0.020000
Training Epoch: 19 [1024/47500]	Loss: 0.4257	LR: 0.020000
Training Epoch: 19 [1280/47500]	Loss: 0.5228	LR: 0.020000
Training Epoch: 19 [1536/47500]	Loss: 0.4584	LR: 0.020000
Training Epoch: 19 [1792/47500]	Loss: 0.5094	LR: 0.020000
Training Epoch: 19 [2048/47500]	Loss: 0.3860	LR: 0.020000
Training Epoch: 19 [2304/47500]	Loss: 0.4776	LR: 0.020000
Training Epoch: 19 [2560/47500]	Loss: 0.4826	LR: 0.020000
Training Epoch: 19 [2816/47500]	Loss: 0.4690	LR: 0.020000
Training Epoch: 19 [3072/47500]	Loss: 0.4566	LR: 0.020000
Training Epoch: 19 [3328/47500]	Loss: 0.5523	LR: 0.020000
Training Epoch: 19 [3584/47500]	Loss: 0.4761	LR: 0.020000
Training Epoch: 19 [3840/47500]	Loss: 0.4979	LR: 0.020000
Training Epoch: 19 [4096/47500]	Loss: 0.5411	LR: 0.020000
Training Epoch: 19 [4352/47500]	Loss: 0.5251	LR: 0.020000
Training Epoch: 19 [4608/47500]	Loss: 0.5091	LR: 0.020000
Training Epoch: 19 [4864/47500]	Loss: 0.6110	LR: 0.020000
Training Epoch: 19 [5120/47500]	Loss: 0.5671	LR: 0.020000
Training Epoch: 19 [5376/47500]	Loss: 0.4734	LR: 0.020000
Training Epoch: 19 [5632/47500]	Loss: 0.6442	LR: 0.020000
Training Epoch: 19 [5888/47500]	Loss: 0.4011	LR: 0.020000
Training Epoch: 19 [6144/47500]	Loss: 0.6151	LR: 0.020000
Training Epoch: 19 [6400/47500]	Loss: 0.5048	LR: 0.020000
Training Epoch: 19 [6656/47500]	Loss: 0.4718	LR: 0.020000
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Training Epoch: 19 [7168/47500]	Loss: 0.4796	LR: 0.020000
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Training Epoch: 19 [7680/47500]	Loss: 0.4699	LR: 0.020000
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Training Epoch: 19 [8192/47500]	Loss: 0.4631	LR: 0.020000
Training Epoch: 19 [8448/47500]	Loss: 0.4754	LR: 0.020000
Training Epoch: 19 [8704/47500]	Loss: 0.6120	LR: 0.020000
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Training Epoch: 19 [10496/47500]	Loss: 0.4514	LR: 0.020000
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Training Epoch: 19 [11008/47500]	Loss: 0.4405	LR: 0.020000
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Training Epoch: 19 [11520/47500]	Loss: 0.4856	LR: 0.020000
Training Epoch: 19 [11776/47500]	Loss: 0.4751	LR: 0.020000
Training Epoch: 19 [12032/47500]	Loss: 0.4590	LR: 0.020000
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Training Epoch: 19 [12800/47500]	Loss: 0.5758	LR: 0.020000
Training Epoch: 19 [13056/47500]	Loss: 0.4208	LR: 0.020000
Training Epoch: 19 [13312/47500]	Loss: 0.4487	LR: 0.020000
Training Epoch: 19 [13568/47500]	Loss: 0.4776	LR: 0.020000
Training Epoch: 19 [13824/47500]	Loss: 0.5373	LR: 0.020000
Training Epoch: 19 [14080/47500]	Loss: 0.5512	LR: 0.020000
Training Epoch: 19 [14336/47500]	Loss: 0.4386	LR: 0.020000
Training Epoch: 19 [14592/47500]	Loss: 0.4876	LR: 0.020000
Training Epoch: 19 [14848/47500]	Loss: 0.5134	LR: 0.020000
Training Epoch: 19 [15104/47500]	Loss: 0.5498	LR: 0.020000
Training Epoch: 19 [15360/47500]	Loss: 0.5068	LR: 0.020000
Training Epoch: 19 [15616/47500]	Loss: 0.5319	LR: 0.020000
Training Epoch: 19 [15872/47500]	Loss: 0.4844	LR: 0.020000
Training Epoch: 19 [16128/47500]	Loss: 0.6569	LR: 0.020000
Training Epoch: 19 [16384/47500]	Loss: 0.4913	LR: 0.020000
Training Epoch: 19 [16640/47500]	Loss: 0.5014	LR: 0.020000
Training Epoch: 19 [16896/47500]	Loss: 0.5828	LR: 0.020000
Training Epoch: 19 [17152/47500]	Loss: 0.5629	LR: 0.020000
Training Epoch: 19 [17408/47500]	Loss: 0.5226	LR: 0.020000
Training Epoch: 19 [17664/47500]	Loss: 0.4567	LR: 0.020000
Training Epoch: 19 [17920/47500]	Loss: 0.5508	LR: 0.020000
Training Epoch: 19 [18176/47500]	Loss: 0.5520	LR: 0.020000
Training Epoch: 19 [18432/47500]	Loss: 0.4581	LR: 0.020000
Training Epoch: 19 [18688/47500]	Loss: 0.4511	LR: 0.020000
Training Epoch: 19 [18944/47500]	Loss: 0.4850	LR: 0.020000
Training Epoch: 19 [19200/47500]	Loss: 0.5080	LR: 0.020000
Training Epoch: 19 [19456/47500]	Loss: 0.4555	LR: 0.020000
Training Epoch: 19 [19712/47500]	Loss: 0.5484	LR: 0.020000
Training Epoch: 19 [19968/47500]	Loss: 0.4462	LR: 0.020000
Training Epoch: 19 [20224/47500]	Loss: 0.4897	LR: 0.020000
Training Epoch: 19 [20480/47500]	Loss: 0.4765	LR: 0.020000
Training Epoch: 19 [20736/47500]	Loss: 0.5629	LR: 0.020000
Training Epoch: 19 [20992/47500]	Loss: 0.4888	LR: 0.020000
Training Epoch: 19 [21248/47500]	Loss: 0.4889	LR: 0.020000
Training Epoch: 19 [21504/47500]	Loss: 0.4752	LR: 0.020000
Training Epoch: 19 [21760/47500]	Loss: 0.5406	LR: 0.020000
Training Epoch: 19 [22016/47500]	Loss: 0.4014	LR: 0.020000
Training Epoch: 19 [22272/47500]	Loss: 0.4544	LR: 0.020000
Training Epoch: 19 [22528/47500]	Loss: 0.4719	LR: 0.020000
Training Epoch: 19 [22784/47500]	Loss: 0.5193	LR: 0.020000
Training Epoch: 19 [23040/47500]	Loss: 0.4529	LR: 0.020000
Training Epoch: 19 [23296/47500]	Loss: 0.5124	LR: 0.020000
Training Epoch: 19 [23552/47500]	Loss: 0.3818	LR: 0.020000
Training Epoch: 19 [23808/47500]	Loss: 0.3688	LR: 0.020000
Training Epoch: 19 [24064/47500]	Loss: 0.5394	LR: 0.020000
Training Epoch: 19 [24320/47500]	Loss: 0.4731	LR: 0.020000
Training Epoch: 19 [24576/47500]	Loss: 0.4677	LR: 0.020000
Training Epoch: 19 [24832/47500]	Loss: 0.4584	LR: 0.020000
Training Epoch: 19 [25088/47500]	Loss: 0.5302	LR: 0.020000
Training Epoch: 19 [25344/47500]	Loss: 0.4297	LR: 0.020000
Training Epoch: 19 [25600/47500]	Loss: 0.5197	LR: 0.020000
Training Epoch: 19 [25856/47500]	Loss: 0.5515	LR: 0.020000
Training Epoch: 19 [26112/47500]	Loss: 0.5075	LR: 0.020000
Training Epoch: 19 [26368/47500]	Loss: 0.4940	LR: 0.020000
Training Epoch: 19 [26624/47500]	Loss: 0.5037	LR: 0.020000
Training Epoch: 19 [26880/47500]	Loss: 0.4850	LR: 0.020000
Training Epoch: 19 [27136/47500]	Loss: 0.5379	LR: 0.020000
Training Epoch: 19 [27392/47500]	Loss: 0.4858	LR: 0.020000
Training Epoch: 19 [27648/47500]	Loss: 0.5136	LR: 0.020000
Training Epoch: 19 [27904/47500]	Loss: 0.4850	LR: 0.020000
Training Epoch: 19 [28160/47500]	Loss: 0.4702	LR: 0.020000
Training Epoch: 19 [28416/47500]	Loss: 0.4839	LR: 0.020000
Training Epoch: 19 [28672/47500]	Loss: 0.5223	LR: 0.020000
Training Epoch: 19 [28928/47500]	Loss: 0.4210	LR: 0.020000
Training Epoch: 19 [29184/47500]	Loss: 0.4876	LR: 0.020000
Training Epoch: 19 [29440/47500]	Loss: 0.3958	LR: 0.020000
Training Epoch: 19 [29696/47500]	Loss: 0.4580	LR: 0.020000
Training Epoch: 19 [29952/47500]	Loss: 0.4071	LR: 0.020000
Training Epoch: 19 [30208/47500]	Loss: 0.4576	LR: 0.020000
Training Epoch: 19 [30464/47500]	Loss: 0.4989	LR: 0.020000
Training Epoch: 19 [30720/47500]	Loss: 0.4841	LR: 0.020000
Training Epoch: 19 [30976/47500]	Loss: 0.4244	LR: 0.020000
Training Epoch: 19 [31232/47500]	Loss: 0.4600	LR: 0.020000
Training Epoch: 19 [31488/47500]	Loss: 0.4204	LR: 0.020000
Training Epoch: 19 [31744/47500]	Loss: 0.5885	LR: 0.020000
Training Epoch: 19 [32000/47500]	Loss: 0.4629	LR: 0.020000
Training Epoch: 19 [32256/47500]	Loss: 0.4685	LR: 0.020000
Training Epoch: 19 [32512/47500]	Loss: 0.5062	LR: 0.020000
Training Epoch: 19 [32768/47500]	Loss: 0.4608	LR: 0.020000
Training Epoch: 19 [33024/47500]	Loss: 0.5149	LR: 0.020000
Training Epoch: 19 [33280/47500]	Loss: 0.5989	LR: 0.020000
Training Epoch: 19 [33536/47500]	Loss: 0.4052	LR: 0.020000
Training Epoch: 19 [33792/47500]	Loss: 0.4653	LR: 0.020000
Training Epoch: 19 [34048/47500]	Loss: 0.5213	LR: 0.020000
Training Epoch: 19 [34304/47500]	Loss: 0.5347	LR: 0.020000
Training Epoch: 19 [34560/47500]	Loss: 0.4835	LR: 0.020000
Training Epoch: 19 [34816/47500]	Loss: 0.5461	LR: 0.020000
Training Epoch: 19 [35072/47500]	Loss: 0.5210	LR: 0.020000
Training Epoch: 19 [35328/47500]	Loss: 0.3993	LR: 0.020000
Training Epoch: 19 [35584/47500]	Loss: 0.4767	LR: 0.020000
Training Epoch: 19 [35840/47500]	Loss: 0.5104	LR: 0.020000
Training Epoch: 19 [36096/47500]	Loss: 0.4292	LR: 0.020000
Training Epoch: 19 [36352/47500]	Loss: 0.3618	LR: 0.020000
Training Epoch: 19 [36608/47500]	Loss: 0.4919	LR: 0.020000
Training Epoch: 19 [36864/47500]	Loss: 0.4711	LR: 0.020000
Training Epoch: 19 [37120/47500]	Loss: 0.5369	LR: 0.020000
Training Epoch: 19 [37376/47500]	Loss: 0.5826	LR: 0.020000
Training Epoch: 19 [37632/47500]	Loss: 0.6456	LR: 0.020000
Training Epoch: 19 [37888/47500]	Loss: 0.5101	LR: 0.020000
Training Epoch: 19 [38144/47500]	Loss: 0.5156	LR: 0.020000
Training Epoch: 19 [38400/47500]	Loss: 0.4920	LR: 0.020000
Training Epoch: 19 [38656/47500]	Loss: 0.4468	LR: 0.020000
Training Epoch: 19 [38912/47500]	Loss: 0.4999	LR: 0.020000
Training Epoch: 19 [39168/47500]	Loss: 0.4400	LR: 0.020000
Training Epoch: 19 [39424/47500]	Loss: 0.5219	LR: 0.020000
Training Epoch: 19 [39680/47500]	Loss: 0.6002	LR: 0.020000
Training Epoch: 19 [39936/47500]	Loss: 0.6008	LR: 0.020000
Training Epoch: 19 [40192/47500]	Loss: 0.3840	LR: 0.020000
Training Epoch: 19 [40448/47500]	Loss: 0.4631	LR: 0.020000
Training Epoch: 19 [40704/47500]	Loss: 0.5490	LR: 0.020000
Training Epoch: 19 [40960/47500]	Loss: 0.4123	LR: 0.020000
Training Epoch: 19 [41216/47500]	Loss: 0.5416	LR: 0.020000
Training Epoch: 19 [41472/47500]	Loss: 0.4823	LR: 0.020000
Training Epoch: 19 [41728/47500]	Loss: 0.5522	LR: 0.020000
Training Epoch: 19 [41984/47500]	Loss: 0.4469	LR: 0.020000
Training Epoch: 19 [42240/47500]	Loss: 0.4860	LR: 0.020000
Training Epoch: 19 [42496/47500]	Loss: 0.5214	LR: 0.020000
Training Epoch: 19 [42752/47500]	Loss: 0.4320	LR: 0.020000
Training Epoch: 19 [43008/47500]	Loss: 0.5617	LR: 0.020000
Training Epoch: 19 [43264/47500]	Loss: 0.4926	LR: 0.020000
Training Epoch: 19 [43520/47500]	Loss: 0.4923	LR: 0.020000
Training Epoch: 19 [43776/47500]	Loss: 0.5685	LR: 0.020000
Training Epoch: 19 [44032/47500]	Loss: 0.6015	LR: 0.020000
Training Epoch: 19 [44288/47500]	Loss: 0.4375	LR: 0.020000
Training Epoch: 19 [44544/47500]	Loss: 0.4573	LR: 0.020000
Training Epoch: 19 [44800/47500]	Loss: 0.5911	LR: 0.020000
Training Epoch: 19 [45056/47500]	Loss: 0.5822	LR: 0.020000
Training Epoch: 19 [45312/47500]	Loss: 0.4423	LR: 0.020000
Training Epoch: 19 [45568/47500]	Loss: 0.5223	LR: 0.020000
Training Epoch: 19 [45824/47500]	Loss: 0.5503	LR: 0.020000
Training Epoch: 19 [46080/47500]	Loss: 0.4521	LR: 0.020000
Training Epoch: 19 [46336/47500]	Loss: 0.5122	LR: 0.020000
Training Epoch: 19 [46592/47500]	Loss: 0.6216	LR: 0.020000
Training Epoch: 19 [46848/47500]	Loss: 0.5973	LR: 0.020000
Training Epoch: 19 [47104/47500]	Loss: 0.4987	LR: 0.020000
Training Epoch: 19 [47360/47500]	Loss: 0.5734	LR: 0.020000
Training Epoch: 19 [47500/47500]	Loss: 0.5322	LR: 0.020000
Epoch 19 - Average Train Loss: 0.4967, Train Accuracy: 0.8367
Epoch 19 training time consumed: 28.73s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0030, Accuracy: 0.7698, Time consumed:0.94s
Training Epoch: 20 [256/47500]	Loss: 0.4113	LR: 0.020000
Training Epoch: 20 [512/47500]	Loss: 0.4230	LR: 0.020000
Training Epoch: 20 [768/47500]	Loss: 0.4768	LR: 0.020000
Training Epoch: 20 [1024/47500]	Loss: 0.4115	LR: 0.020000
Training Epoch: 20 [1280/47500]	Loss: 0.4914	LR: 0.020000
Training Epoch: 20 [1536/47500]	Loss: 0.4683	LR: 0.020000
Training Epoch: 20 [1792/47500]	Loss: 0.5100	LR: 0.020000
Training Epoch: 20 [2048/47500]	Loss: 0.4183	LR: 0.020000
Training Epoch: 20 [2304/47500]	Loss: 0.5256	LR: 0.020000
Training Epoch: 20 [2560/47500]	Loss: 0.4353	LR: 0.020000
Training Epoch: 20 [2816/47500]	Loss: 0.5293	LR: 0.020000
Training Epoch: 20 [3072/47500]	Loss: 0.5061	LR: 0.020000
Training Epoch: 20 [3328/47500]	Loss: 0.5038	LR: 0.020000
Training Epoch: 20 [3584/47500]	Loss: 0.4810	LR: 0.020000
Training Epoch: 20 [3840/47500]	Loss: 0.4962	LR: 0.020000
Training Epoch: 20 [4096/47500]	Loss: 0.4541	LR: 0.020000
Training Epoch: 20 [4352/47500]	Loss: 0.4494	LR: 0.020000
Training Epoch: 20 [4608/47500]	Loss: 0.3892	LR: 0.020000
Training Epoch: 20 [4864/47500]	Loss: 0.3466	LR: 0.020000
Training Epoch: 20 [5120/47500]	Loss: 0.4407	LR: 0.020000
Training Epoch: 20 [5376/47500]	Loss: 0.4826	LR: 0.020000
Training Epoch: 20 [5632/47500]	Loss: 0.3825	LR: 0.020000
Training Epoch: 20 [5888/47500]	Loss: 0.4864	LR: 0.020000
Training Epoch: 20 [6144/47500]	Loss: 0.5150	LR: 0.020000
Training Epoch: 20 [6400/47500]	Loss: 0.4729	LR: 0.020000
Training Epoch: 20 [6656/47500]	Loss: 0.4867	LR: 0.020000
Training Epoch: 20 [6912/47500]	Loss: 0.4857	LR: 0.020000
Training Epoch: 20 [7168/47500]	Loss: 0.4590	LR: 0.020000
Training Epoch: 20 [7424/47500]	Loss: 0.5034	LR: 0.020000
Training Epoch: 20 [7680/47500]	Loss: 0.3432	LR: 0.020000
Training Epoch: 20 [7936/47500]	Loss: 0.4694	LR: 0.020000
Training Epoch: 20 [8192/47500]	Loss: 0.5085	LR: 0.020000
Training Epoch: 20 [8448/47500]	Loss: 0.5206	LR: 0.020000
Training Epoch: 20 [8704/47500]	Loss: 0.4027	LR: 0.020000
Training Epoch: 20 [8960/47500]	Loss: 0.4417	LR: 0.020000
Training Epoch: 20 [9216/47500]	Loss: 0.4784	LR: 0.020000
Training Epoch: 20 [9472/47500]	Loss: 0.4768	LR: 0.020000
Training Epoch: 20 [9728/47500]	Loss: 0.4478	LR: 0.020000
Training Epoch: 20 [9984/47500]	Loss: 0.5320	LR: 0.020000
Training Epoch: 20 [10240/47500]	Loss: 0.4788	LR: 0.020000
Training Epoch: 20 [10496/47500]	Loss: 0.5291	LR: 0.020000
Training Epoch: 20 [10752/47500]	Loss: 0.4338	LR: 0.020000
Training Epoch: 20 [11008/47500]	Loss: 0.4531	LR: 0.020000
Training Epoch: 20 [11264/47500]	Loss: 0.4507	LR: 0.020000
Training Epoch: 20 [11520/47500]	Loss: 0.5372	LR: 0.020000
Training Epoch: 20 [11776/47500]	Loss: 0.4210	LR: 0.020000
Training Epoch: 20 [12032/47500]	Loss: 0.5150	LR: 0.020000
Training Epoch: 20 [12288/47500]	Loss: 0.4370	LR: 0.020000
Training Epoch: 20 [12544/47500]	Loss: 0.4593	LR: 0.020000
Training Epoch: 20 [12800/47500]	Loss: 0.5258	LR: 0.020000
Training Epoch: 20 [13056/47500]	Loss: 0.4461	LR: 0.020000
Training Epoch: 20 [13312/47500]	Loss: 0.5279	LR: 0.020000
Training Epoch: 20 [13568/47500]	Loss: 0.4481	LR: 0.020000
Training Epoch: 20 [13824/47500]	Loss: 0.4123	LR: 0.020000
Training Epoch: 20 [14080/47500]	Loss: 0.4423	LR: 0.020000
Training Epoch: 20 [14336/47500]	Loss: 0.5027	LR: 0.020000
Training Epoch: 20 [14592/47500]	Loss: 0.4652	LR: 0.020000
Training Epoch: 20 [14848/47500]	Loss: 0.3129	LR: 0.020000
Training Epoch: 20 [15104/47500]	Loss: 0.4763	LR: 0.020000
Training Epoch: 20 [15360/47500]	Loss: 0.5670	LR: 0.020000
Training Epoch: 20 [15616/47500]	Loss: 0.4608	LR: 0.020000
Training Epoch: 20 [15872/47500]	Loss: 0.4911	LR: 0.020000
Training Epoch: 20 [16128/47500]	Loss: 0.4816	LR: 0.020000
Training Epoch: 20 [16384/47500]	Loss: 0.4790	LR: 0.020000
Training Epoch: 20 [16640/47500]	Loss: 0.4717	LR: 0.020000
Training Epoch: 20 [16896/47500]	Loss: 0.5293	LR: 0.020000
Training Epoch: 20 [17152/47500]	Loss: 0.4015	LR: 0.020000
Training Epoch: 20 [17408/47500]	Loss: 0.3088	LR: 0.020000
Training Epoch: 20 [17664/47500]	Loss: 0.4166	LR: 0.020000
Training Epoch: 20 [17920/47500]	Loss: 0.5800	LR: 0.020000
Training Epoch: 20 [18176/47500]	Loss: 0.3867	LR: 0.020000
Training Epoch: 20 [18432/47500]	Loss: 0.4656	LR: 0.020000
Training Epoch: 20 [18688/47500]	Loss: 0.4845	LR: 0.020000
Training Epoch: 20 [18944/47500]	Loss: 0.4354	LR: 0.020000
Training Epoch: 20 [19200/47500]	Loss: 0.4816	LR: 0.020000
Training Epoch: 20 [19456/47500]	Loss: 0.4942	LR: 0.020000
Training Epoch: 20 [19712/47500]	Loss: 0.4422	LR: 0.020000
Training Epoch: 20 [19968/47500]	Loss: 0.5267	LR: 0.020000
Training Epoch: 20 [20224/47500]	Loss: 0.4646	LR: 0.020000
Training Epoch: 20 [20480/47500]	Loss: 0.5450	LR: 0.020000
Training Epoch: 20 [20736/47500]	Loss: 0.5083	LR: 0.020000
Training Epoch: 20 [20992/47500]	Loss: 0.5275	LR: 0.020000
Training Epoch: 20 [21248/47500]	Loss: 0.4167	LR: 0.020000
Training Epoch: 20 [21504/47500]	Loss: 0.5416	LR: 0.020000
Training Epoch: 20 [21760/47500]	Loss: 0.5335	LR: 0.020000
Training Epoch: 20 [22016/47500]	Loss: 0.4506	LR: 0.020000
Training Epoch: 20 [22272/47500]	Loss: 0.4382	LR: 0.020000
Training Epoch: 20 [22528/47500]	Loss: 0.4497	LR: 0.020000
Training Epoch: 20 [22784/47500]	Loss: 0.5030	LR: 0.020000
Training Epoch: 20 [23040/47500]	Loss: 0.5446	LR: 0.020000
Training Epoch: 20 [23296/47500]	Loss: 0.5045	LR: 0.020000
Training Epoch: 20 [23552/47500]	Loss: 0.4934	LR: 0.020000
Training Epoch: 20 [23808/47500]	Loss: 0.4846	LR: 0.020000
Training Epoch: 20 [24064/47500]	Loss: 0.5426	LR: 0.020000
Training Epoch: 20 [24320/47500]	Loss: 0.4538	LR: 0.020000
Training Epoch: 20 [24576/47500]	Loss: 0.4667	LR: 0.020000
Training Epoch: 20 [24832/47500]	Loss: 0.4672	LR: 0.020000
Training Epoch: 20 [25088/47500]	Loss: 0.4406	LR: 0.020000
Training Epoch: 20 [25344/47500]	Loss: 0.4390	LR: 0.020000
Training Epoch: 20 [25600/47500]	Loss: 0.6294	LR: 0.020000
Training Epoch: 20 [25856/47500]	Loss: 0.4339	LR: 0.020000
Training Epoch: 20 [26112/47500]	Loss: 0.4447	LR: 0.020000
Training Epoch: 20 [26368/47500]	Loss: 0.5953	LR: 0.020000
Training Epoch: 20 [26624/47500]	Loss: 0.4623	LR: 0.020000
Training Epoch: 20 [26880/47500]	Loss: 0.4987	LR: 0.020000
Training Epoch: 20 [27136/47500]	Loss: 0.5116	LR: 0.020000
Training Epoch: 20 [27392/47500]	Loss: 0.4453	LR: 0.020000
Training Epoch: 20 [27648/47500]	Loss: 0.5847	LR: 0.020000
Training Epoch: 20 [27904/47500]	Loss: 0.5217	LR: 0.020000
Training Epoch: 20 [28160/47500]	Loss: 0.4513	LR: 0.020000
Training Epoch: 20 [28416/47500]	Loss: 0.4154	LR: 0.020000
Training Epoch: 20 [28672/47500]	Loss: 0.5697	LR: 0.020000
Training Epoch: 20 [28928/47500]	Loss: 0.4887	LR: 0.020000
Training Epoch: 20 [29184/47500]	Loss: 0.5045	LR: 0.020000
Training Epoch: 20 [29440/47500]	Loss: 0.4038	LR: 0.020000
Training Epoch: 20 [29696/47500]	Loss: 0.4111	LR: 0.020000
Training Epoch: 20 [29952/47500]	Loss: 0.4190	LR: 0.020000
Training Epoch: 20 [30208/47500]	Loss: 0.4576	LR: 0.020000
Training Epoch: 20 [30464/47500]	Loss: 0.5409	LR: 0.020000
Training Epoch: 20 [30720/47500]	Loss: 0.5057	LR: 0.020000
Training Epoch: 20 [30976/47500]	Loss: 0.3577	LR: 0.020000
Training Epoch: 20 [31232/47500]	Loss: 0.5508	LR: 0.020000
Training Epoch: 20 [31488/47500]	Loss: 0.4729	LR: 0.020000
Training Epoch: 20 [31744/47500]	Loss: 0.4399	LR: 0.020000
Training Epoch: 20 [32000/47500]	Loss: 0.4975	LR: 0.020000
Training Epoch: 20 [32256/47500]	Loss: 0.4925	LR: 0.020000
Training Epoch: 20 [32512/47500]	Loss: 0.5010	LR: 0.020000
Training Epoch: 20 [32768/47500]	Loss: 0.4672	LR: 0.020000
Training Epoch: 20 [33024/47500]	Loss: 0.4908	LR: 0.020000
Training Epoch: 20 [33280/47500]	Loss: 0.4855	LR: 0.020000
Training Epoch: 20 [33536/47500]	Loss: 0.5106	LR: 0.020000
Training Epoch: 20 [33792/47500]	Loss: 0.4580	LR: 0.020000
Training Epoch: 20 [34048/47500]	Loss: 0.5621	LR: 0.020000
Training Epoch: 20 [34304/47500]	Loss: 0.4978	LR: 0.020000
Training Epoch: 20 [34560/47500]	Loss: 0.4692	LR: 0.020000
Training Epoch: 20 [34816/47500]	Loss: 0.5740	LR: 0.020000
Training Epoch: 20 [35072/47500]	Loss: 0.4489	LR: 0.020000
Training Epoch: 20 [35328/47500]	Loss: 0.4870	LR: 0.020000
Training Epoch: 20 [35584/47500]	Loss: 0.3891	LR: 0.020000
Training Epoch: 20 [35840/47500]	Loss: 0.5166	LR: 0.020000
Training Epoch: 20 [36096/47500]	Loss: 0.5489	LR: 0.020000
Training Epoch: 20 [36352/47500]	Loss: 0.4904	LR: 0.020000
Training Epoch: 20 [36608/47500]	Loss: 0.4530	LR: 0.020000
Training Epoch: 20 [36864/47500]	Loss: 0.4661	LR: 0.020000
Training Epoch: 20 [37120/47500]	Loss: 0.5088	LR: 0.020000
Training Epoch: 20 [37376/47500]	Loss: 0.5369	LR: 0.020000
Training Epoch: 20 [37632/47500]	Loss: 0.4893	LR: 0.020000
Training Epoch: 20 [37888/47500]	Loss: 0.5211	LR: 0.020000
Training Epoch: 20 [38144/47500]	Loss: 0.5249	LR: 0.020000
Training Epoch: 20 [38400/47500]	Loss: 0.5568	LR: 0.020000
Training Epoch: 20 [38656/47500]	Loss: 0.4526	LR: 0.020000
Training Epoch: 20 [38912/47500]	Loss: 0.5552	LR: 0.020000
Training Epoch: 20 [39168/47500]	Loss: 0.3921	LR: 0.020000
Training Epoch: 20 [39424/47500]	Loss: 0.4878	LR: 0.020000
Training Epoch: 20 [39680/47500]	Loss: 0.4559	LR: 0.020000
Training Epoch: 20 [39936/47500]	Loss: 0.4261	LR: 0.020000
Training Epoch: 20 [40192/47500]	Loss: 0.4787	LR: 0.020000
Training Epoch: 20 [40448/47500]	Loss: 0.5009	LR: 0.020000
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Training Epoch: 20 [43520/47500]	Loss: 0.6017	LR: 0.020000
Training Epoch: 20 [43776/47500]	Loss: 0.6157	LR: 0.020000
Training Epoch: 20 [44032/47500]	Loss: 0.4408	LR: 0.020000
Training Epoch: 20 [44288/47500]	Loss: 0.5517	LR: 0.020000
Training Epoch: 20 [44544/47500]	Loss: 0.4287	LR: 0.020000
Training Epoch: 20 [44800/47500]	Loss: 0.4921	LR: 0.020000
Training Epoch: 20 [45056/47500]	Loss: 0.5512	LR: 0.020000
Training Epoch: 20 [45312/47500]	Loss: 0.4883	LR: 0.020000
Training Epoch: 20 [45568/47500]	Loss: 0.4772	LR: 0.020000
Training Epoch: 20 [45824/47500]	Loss: 0.5122	LR: 0.020000
Training Epoch: 20 [46080/47500]	Loss: 0.3971	LR: 0.020000
Training Epoch: 20 [46336/47500]	Loss: 0.4082	LR: 0.020000
Training Epoch: 20 [46592/47500]	Loss: 0.4666	LR: 0.020000
Training Epoch: 20 [46848/47500]	Loss: 0.5522	LR: 0.020000
Training Epoch: 20 [47104/47500]	Loss: 0.5803	LR: 0.020000
Training Epoch: 20 [47360/47500]	Loss: 0.4518	LR: 0.020000
Training Epoch: 20 [47500/47500]	Loss: 0.3654	LR: 0.020000
Epoch 20 - Average Train Loss: 0.4784, Train Accuracy: 0.8401
Epoch 20 training time consumed: 28.34s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0031, Accuracy: 0.7714, Time consumed:0.88s
Training Epoch: 21 [256/47500]	Loss: 0.3300	LR: 0.020000
Training Epoch: 21 [512/47500]	Loss: 0.4934	LR: 0.020000
Training Epoch: 21 [768/47500]	Loss: 0.4305	LR: 0.020000
Training Epoch: 21 [1024/47500]	Loss: 0.4656	LR: 0.020000
Training Epoch: 21 [1280/47500]	Loss: 0.4706	LR: 0.020000
Training Epoch: 21 [1536/47500]	Loss: 0.4386	LR: 0.020000
Training Epoch: 21 [1792/47500]	Loss: 0.5034	LR: 0.020000
Training Epoch: 21 [2048/47500]	Loss: 0.3981	LR: 0.020000
Training Epoch: 21 [2304/47500]	Loss: 0.5067	LR: 0.020000
Training Epoch: 21 [2560/47500]	Loss: 0.3642	LR: 0.020000
Training Epoch: 21 [2816/47500]	Loss: 0.4473	LR: 0.020000
Training Epoch: 21 [3072/47500]	Loss: 0.5090	LR: 0.020000
Training Epoch: 21 [3328/47500]	Loss: 0.4351	LR: 0.020000
Training Epoch: 21 [3584/47500]	Loss: 0.3424	LR: 0.020000
Training Epoch: 21 [3840/47500]	Loss: 0.3705	LR: 0.020000
Training Epoch: 21 [4096/47500]	Loss: 0.3842	LR: 0.020000
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Training Epoch: 21 [5888/47500]	Loss: 0.4583	LR: 0.020000
Training Epoch: 21 [6144/47500]	Loss: 0.4284	LR: 0.020000
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Training Epoch: 21 [7424/47500]	Loss: 0.4900	LR: 0.020000
Training Epoch: 21 [7680/47500]	Loss: 0.4592	LR: 0.020000
Training Epoch: 21 [7936/47500]	Loss: 0.3696	LR: 0.020000
Training Epoch: 21 [8192/47500]	Loss: 0.4623	LR: 0.020000
Training Epoch: 21 [8448/47500]	Loss: 0.4546	LR: 0.020000
Training Epoch: 21 [8704/47500]	Loss: 0.4528	LR: 0.020000
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Training Epoch: 21 [9216/47500]	Loss: 0.5284	LR: 0.020000
Training Epoch: 21 [9472/47500]	Loss: 0.4223	LR: 0.020000
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Training Epoch: 21 [10496/47500]	Loss: 0.4493	LR: 0.020000
Training Epoch: 21 [10752/47500]	Loss: 0.4300	LR: 0.020000
Training Epoch: 21 [11008/47500]	Loss: 0.4364	LR: 0.020000
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Training Epoch: 21 [11776/47500]	Loss: 0.4022	LR: 0.020000
Training Epoch: 21 [12032/47500]	Loss: 0.5274	LR: 0.020000
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Training Epoch: 21 [42496/47500]	Loss: 0.3730	LR: 0.020000
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Training Epoch: 21 [43520/47500]	Loss: 0.5531	LR: 0.020000
Training Epoch: 21 [43776/47500]	Loss: 0.5559	LR: 0.020000
Training Epoch: 21 [44032/47500]	Loss: 0.4665	LR: 0.020000
Training Epoch: 21 [44288/47500]	Loss: 0.4552	LR: 0.020000
Training Epoch: 21 [44544/47500]	Loss: 0.4035	LR: 0.020000
Training Epoch: 21 [44800/47500]	Loss: 0.4740	LR: 0.020000
Training Epoch: 21 [45056/47500]	Loss: 0.4852	LR: 0.020000
Training Epoch: 21 [45312/47500]	Loss: 0.4690	LR: 0.020000
Training Epoch: 21 [45568/47500]	Loss: 0.4791	LR: 0.020000
Training Epoch: 21 [45824/47500]	Loss: 0.4194	LR: 0.020000
Training Epoch: 21 [46080/47500]	Loss: 0.4319	LR: 0.020000
Training Epoch: 21 [46336/47500]	Loss: 0.5497	LR: 0.020000
Training Epoch: 21 [46592/47500]	Loss: 0.4773	LR: 0.020000
Training Epoch: 21 [46848/47500]	Loss: 0.4278	LR: 0.020000
Training Epoch: 21 [47104/47500]	Loss: 0.4823	LR: 0.020000
Training Epoch: 21 [47360/47500]	Loss: 0.5436	LR: 0.020000
Training Epoch: 21 [47500/47500]	Loss: 0.4639	LR: 0.020000
Epoch 21 - Average Train Loss: 0.4542, Train Accuracy: 0.8515
Epoch 21 training time consumed: 28.31s
Evaluating Network.....
Test set: Epoch: 21, Average loss: 0.0030, Accuracy: 0.7673, Time consumed:0.89s
Training Epoch: 22 [256/47500]	Loss: 0.4178	LR: 0.020000
Training Epoch: 22 [512/47500]	Loss: 0.4495	LR: 0.020000
Training Epoch: 22 [768/47500]	Loss: 0.3887	LR: 0.020000
Training Epoch: 22 [1024/47500]	Loss: 0.5012	LR: 0.020000
Training Epoch: 22 [1280/47500]	Loss: 0.3440	LR: 0.020000
Training Epoch: 22 [1536/47500]	Loss: 0.4722	LR: 0.020000
Training Epoch: 22 [1792/47500]	Loss: 0.3749	LR: 0.020000
Training Epoch: 22 [2048/47500]	Loss: 0.4293	LR: 0.020000
Training Epoch: 22 [2304/47500]	Loss: 0.4254	LR: 0.020000
Training Epoch: 22 [2560/47500]	Loss: 0.4465	LR: 0.020000
Training Epoch: 22 [2816/47500]	Loss: 0.4486	LR: 0.020000
Training Epoch: 22 [3072/47500]	Loss: 0.4647	LR: 0.020000
Training Epoch: 22 [3328/47500]	Loss: 0.3591	LR: 0.020000
Training Epoch: 22 [3584/47500]	Loss: 0.4790	LR: 0.020000
Training Epoch: 22 [3840/47500]	Loss: 0.3617	LR: 0.020000
Training Epoch: 22 [4096/47500]	Loss: 0.4663	LR: 0.020000
Training Epoch: 22 [4352/47500]	Loss: 0.3852	LR: 0.020000
Training Epoch: 22 [4608/47500]	Loss: 0.3489	LR: 0.020000
Training Epoch: 22 [4864/47500]	Loss: 0.3936	LR: 0.020000
Training Epoch: 22 [5120/47500]	Loss: 0.4217	LR: 0.020000
Training Epoch: 22 [5376/47500]	Loss: 0.3621	LR: 0.020000
Training Epoch: 22 [5632/47500]	Loss: 0.3635	LR: 0.020000
Training Epoch: 22 [5888/47500]	Loss: 0.4486	LR: 0.020000
Training Epoch: 22 [6144/47500]	Loss: 0.4306	LR: 0.020000
Training Epoch: 22 [6400/47500]	Loss: 0.3892	LR: 0.020000
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Training Epoch: 22 [7168/47500]	Loss: 0.3988	LR: 0.020000
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Training Epoch: 22 [16128/47500]	Loss: 0.3651	LR: 0.020000
Training Epoch: 22 [16384/47500]	Loss: 0.3314	LR: 0.020000
Training Epoch: 22 [16640/47500]	Loss: 0.4647	LR: 0.020000
Training Epoch: 22 [16896/47500]	Loss: 0.3493	LR: 0.020000
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Training Epoch: 22 [17920/47500]	Loss: 0.3794	LR: 0.020000
Training Epoch: 22 [18176/47500]	Loss: 0.5251	LR: 0.020000
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Training Epoch: 22 [19968/47500]	Loss: 0.4202	LR: 0.020000
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Training Epoch: 22 [20480/47500]	Loss: 0.4196	LR: 0.020000
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Training Epoch: 22 [21504/47500]	Loss: 0.4056	LR: 0.020000
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Training Epoch: 22 [22016/47500]	Loss: 0.4242	LR: 0.020000
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Training Epoch: 22 [22528/47500]	Loss: 0.4605	LR: 0.020000
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Training Epoch: 22 [24576/47500]	Loss: 0.4223	LR: 0.020000
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Training Epoch: 22 [26368/47500]	Loss: 0.4188	LR: 0.020000
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Training Epoch: 22 [27904/47500]	Loss: 0.5166	LR: 0.020000
Training Epoch: 22 [28160/47500]	Loss: 0.4407	LR: 0.020000
Training Epoch: 22 [28416/47500]	Loss: 0.3499	LR: 0.020000
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Training Epoch: 22 [28928/47500]	Loss: 0.4035	LR: 0.020000
Training Epoch: 22 [29184/47500]	Loss: 0.3891	LR: 0.020000
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Training Epoch: 22 [29952/47500]	Loss: 0.4390	LR: 0.020000
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Training Epoch: 22 [30464/47500]	Loss: 0.3904	LR: 0.020000
Training Epoch: 22 [30720/47500]	Loss: 0.3758	LR: 0.020000
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Training Epoch: 22 [31232/47500]	Loss: 0.5047	LR: 0.020000
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Training Epoch: 22 [31744/47500]	Loss: 0.3379	LR: 0.020000
Training Epoch: 22 [32000/47500]	Loss: 0.4256	LR: 0.020000
Training Epoch: 22 [32256/47500]	Loss: 0.4418	LR: 0.020000
Training Epoch: 22 [32512/47500]	Loss: 0.3961	LR: 0.020000
Training Epoch: 22 [32768/47500]	Loss: 0.4620	LR: 0.020000
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Training Epoch: 22 [35072/47500]	Loss: 0.4771	LR: 0.020000
Training Epoch: 22 [35328/47500]	Loss: 0.5147	LR: 0.020000
Training Epoch: 22 [35584/47500]	Loss: 0.4030	LR: 0.020000
Training Epoch: 22 [35840/47500]	Loss: 0.4107	LR: 0.020000
Training Epoch: 22 [36096/47500]	Loss: 0.4114	LR: 0.020000
Training Epoch: 22 [36352/47500]	Loss: 0.3981	LR: 0.020000
Training Epoch: 22 [36608/47500]	Loss: 0.3388	LR: 0.020000
Training Epoch: 22 [36864/47500]	Loss: 0.4491	LR: 0.020000
Training Epoch: 22 [37120/47500]	Loss: 0.4250	LR: 0.020000
Training Epoch: 22 [37376/47500]	Loss: 0.4317	LR: 0.020000
Training Epoch: 22 [37632/47500]	Loss: 0.3947	LR: 0.020000
Training Epoch: 22 [37888/47500]	Loss: 0.5135	LR: 0.020000
Training Epoch: 22 [38144/47500]	Loss: 0.5266	LR: 0.020000
Training Epoch: 22 [38400/47500]	Loss: 0.4438	LR: 0.020000
Training Epoch: 22 [38656/47500]	Loss: 0.4271	LR: 0.020000
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Training Epoch: 22 [39168/47500]	Loss: 0.5036	LR: 0.020000
Training Epoch: 22 [39424/47500]	Loss: 0.4568	LR: 0.020000
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Training Epoch: 22 [40448/47500]	Loss: 0.3951	LR: 0.020000
Training Epoch: 22 [40704/47500]	Loss: 0.3848	LR: 0.020000
Training Epoch: 22 [40960/47500]	Loss: 0.5010	LR: 0.020000
Training Epoch: 22 [41216/47500]	Loss: 0.5597	LR: 0.020000
Training Epoch: 22 [41472/47500]	Loss: 0.3546	LR: 0.020000
Training Epoch: 22 [41728/47500]	Loss: 0.5002	LR: 0.020000
Training Epoch: 22 [41984/47500]	Loss: 0.4507	LR: 0.020000
Training Epoch: 22 [42240/47500]	Loss: 0.4475	LR: 0.020000
Training Epoch: 22 [42496/47500]	Loss: 0.5079	LR: 0.020000
Training Epoch: 22 [42752/47500]	Loss: 0.5476	LR: 0.020000
Training Epoch: 22 [43008/47500]	Loss: 0.5115	LR: 0.020000
Training Epoch: 22 [43264/47500]	Loss: 0.4198	LR: 0.020000
Training Epoch: 22 [43520/47500]	Loss: 0.4517	LR: 0.020000
Training Epoch: 22 [43776/47500]	Loss: 0.4543	LR: 0.020000
Training Epoch: 22 [44032/47500]	Loss: 0.3771	LR: 0.020000
Training Epoch: 22 [44288/47500]	Loss: 0.3969	LR: 0.020000
Training Epoch: 22 [44544/47500]	Loss: 0.4643	LR: 0.020000
Training Epoch: 22 [44800/47500]	Loss: 0.4161	LR: 0.020000
Training Epoch: 22 [45056/47500]	Loss: 0.3588	LR: 0.020000
Training Epoch: 22 [45312/47500]	Loss: 0.4917	LR: 0.020000
Training Epoch: 22 [45568/47500]	Loss: 0.4088	LR: 0.020000
Training Epoch: 22 [45824/47500]	Loss: 0.5093	LR: 0.020000
Training Epoch: 22 [46080/47500]	Loss: 0.4844	LR: 0.020000
Training Epoch: 22 [46336/47500]	Loss: 0.4930	LR: 0.020000
Training Epoch: 22 [46592/47500]	Loss: 0.3884	LR: 0.020000
Training Epoch: 22 [46848/47500]	Loss: 0.4139	LR: 0.020000
Training Epoch: 22 [47104/47500]	Loss: 0.4585	LR: 0.020000
Training Epoch: 22 [47360/47500]	Loss: 0.4979	LR: 0.020000
Training Epoch: 22 [47500/47500]	Loss: 0.4211	LR: 0.020000
Epoch 22 - Average Train Loss: 0.4354, Train Accuracy: 0.8559
Epoch 22 training time consumed: 28.35s
Evaluating Network.....
Test set: Epoch: 22, Average loss: 0.0030, Accuracy: 0.7700, Time consumed:0.88s
Training Epoch: 23 [256/47500]	Loss: 0.3783	LR: 0.020000
Training Epoch: 23 [512/47500]	Loss: 0.3619	LR: 0.020000
Training Epoch: 23 [768/47500]	Loss: 0.4323	LR: 0.020000
Training Epoch: 23 [1024/47500]	Loss: 0.3903	LR: 0.020000
Training Epoch: 23 [1280/47500]	Loss: 0.3769	LR: 0.020000
Training Epoch: 23 [1536/47500]	Loss: 0.3835	LR: 0.020000
Training Epoch: 23 [1792/47500]	Loss: 0.3643	LR: 0.020000
Training Epoch: 23 [2048/47500]	Loss: 0.2981	LR: 0.020000
Training Epoch: 23 [2304/47500]	Loss: 0.4311	LR: 0.020000
Training Epoch: 23 [2560/47500]	Loss: 0.3795	LR: 0.020000
Training Epoch: 23 [2816/47500]	Loss: 0.4239	LR: 0.020000
Training Epoch: 23 [3072/47500]	Loss: 0.3878	LR: 0.020000
Training Epoch: 23 [3328/47500]	Loss: 0.4510	LR: 0.020000
Training Epoch: 23 [3584/47500]	Loss: 0.3935	LR: 0.020000
Training Epoch: 23 [3840/47500]	Loss: 0.3651	LR: 0.020000
Training Epoch: 23 [4096/47500]	Loss: 0.4188	LR: 0.020000
Training Epoch: 23 [4352/47500]	Loss: 0.3942	LR: 0.020000
Training Epoch: 23 [4608/47500]	Loss: 0.4128	LR: 0.020000
Training Epoch: 23 [4864/47500]	Loss: 0.3794	LR: 0.020000
Training Epoch: 23 [5120/47500]	Loss: 0.4562	LR: 0.020000
Training Epoch: 23 [5376/47500]	Loss: 0.3880	LR: 0.020000
Training Epoch: 23 [5632/47500]	Loss: 0.2943	LR: 0.020000
Training Epoch: 23 [5888/47500]	Loss: 0.3934	LR: 0.020000
Training Epoch: 23 [6144/47500]	Loss: 0.4224	LR: 0.020000
Training Epoch: 23 [6400/47500]	Loss: 0.4343	LR: 0.020000
Training Epoch: 23 [6656/47500]	Loss: 0.4871	LR: 0.020000
Training Epoch: 23 [6912/47500]	Loss: 0.5639	LR: 0.020000
Training Epoch: 23 [7168/47500]	Loss: 0.4030	LR: 0.020000
Training Epoch: 23 [7424/47500]	Loss: 0.4133	LR: 0.020000
Training Epoch: 23 [7680/47500]	Loss: 0.4725	LR: 0.020000
Training Epoch: 23 [7936/47500]	Loss: 0.3523	LR: 0.020000
Training Epoch: 23 [8192/47500]	Loss: 0.3884	LR: 0.020000
Training Epoch: 23 [8448/47500]	Loss: 0.3512	LR: 0.020000
Training Epoch: 23 [8704/47500]	Loss: 0.4299	LR: 0.020000
Training Epoch: 23 [8960/47500]	Loss: 0.4034	LR: 0.020000
Training Epoch: 23 [9216/47500]	Loss: 0.5252	LR: 0.020000
Training Epoch: 23 [9472/47500]	Loss: 0.3346	LR: 0.020000
Training Epoch: 23 [9728/47500]	Loss: 0.3697	LR: 0.020000
Training Epoch: 23 [9984/47500]	Loss: 0.4606	LR: 0.020000
Training Epoch: 23 [10240/47500]	Loss: 0.3594	LR: 0.020000
Training Epoch: 23 [10496/47500]	Loss: 0.3898	LR: 0.020000
Training Epoch: 23 [10752/47500]	Loss: 0.3145	LR: 0.020000
Training Epoch: 23 [11008/47500]	Loss: 0.3730	LR: 0.020000
Training Epoch: 23 [11264/47500]	Loss: 0.4138	LR: 0.020000
Training Epoch: 23 [11520/47500]	Loss: 0.3774	LR: 0.020000
Training Epoch: 23 [11776/47500]	Loss: 0.3326	LR: 0.020000
Training Epoch: 23 [12032/47500]	Loss: 0.3173	LR: 0.020000
Training Epoch: 23 [12288/47500]	Loss: 0.3960	LR: 0.020000
Training Epoch: 23 [12544/47500]	Loss: 0.4341	LR: 0.020000
Training Epoch: 23 [12800/47500]	Loss: 0.3939	LR: 0.020000
Training Epoch: 23 [13056/47500]	Loss: 0.3695	LR: 0.020000
Training Epoch: 23 [13312/47500]	Loss: 0.3858	LR: 0.020000
Training Epoch: 23 [13568/47500]	Loss: 0.3933	LR: 0.020000
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Training Epoch: 23 [15616/47500]	Loss: 0.4325	LR: 0.020000
Training Epoch: 23 [15872/47500]	Loss: 0.3955	LR: 0.020000
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Training Epoch: 23 [16896/47500]	Loss: 0.4143	LR: 0.020000
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Training Epoch: 23 [18176/47500]	Loss: 0.3545	LR: 0.020000
Training Epoch: 23 [18432/47500]	Loss: 0.2674	LR: 0.020000
Training Epoch: 23 [18688/47500]	Loss: 0.3735	LR: 0.020000
Training Epoch: 23 [18944/47500]	Loss: 0.4809	LR: 0.020000
Training Epoch: 23 [19200/47500]	Loss: 0.4174	LR: 0.020000
Training Epoch: 23 [19456/47500]	Loss: 0.4050	LR: 0.020000
Training Epoch: 23 [19712/47500]	Loss: 0.3831	LR: 0.020000
Training Epoch: 23 [19968/47500]	Loss: 0.3055	LR: 0.020000
Training Epoch: 23 [20224/47500]	Loss: 0.4528	LR: 0.020000
Training Epoch: 23 [20480/47500]	Loss: 0.3647	LR: 0.020000
Training Epoch: 23 [20736/47500]	Loss: 0.4100	LR: 0.020000
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Training Epoch: 23 [21248/47500]	Loss: 0.3516	LR: 0.020000
Training Epoch: 23 [21504/47500]	Loss: 0.4484	LR: 0.020000
Training Epoch: 23 [21760/47500]	Loss: 0.3637	LR: 0.020000
Training Epoch: 23 [22016/47500]	Loss: 0.3501	LR: 0.020000
Training Epoch: 23 [22272/47500]	Loss: 0.3961	LR: 0.020000
Training Epoch: 23 [22528/47500]	Loss: 0.4924	LR: 0.020000
Training Epoch: 23 [22784/47500]	Loss: 0.4204	LR: 0.020000
Training Epoch: 23 [23040/47500]	Loss: 0.4150	LR: 0.020000
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Training Epoch: 23 [23808/47500]	Loss: 0.3393	LR: 0.020000
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Training Epoch: 23 [24576/47500]	Loss: 0.3654	LR: 0.020000
Training Epoch: 23 [24832/47500]	Loss: 0.3968	LR: 0.020000
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Training Epoch: 23 [26112/47500]	Loss: 0.4779	LR: 0.020000
Training Epoch: 23 [26368/47500]	Loss: 0.5170	LR: 0.020000
Training Epoch: 23 [26624/47500]	Loss: 0.4435	LR: 0.020000
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Training Epoch: 23 [27392/47500]	Loss: 0.3470	LR: 0.020000
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Training Epoch: 23 [37632/47500]	Loss: 0.4542	LR: 0.020000
Training Epoch: 23 [37888/47500]	Loss: 0.4888	LR: 0.020000
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Training Epoch: 23 [40192/47500]	Loss: 0.5492	LR: 0.020000
Training Epoch: 23 [40448/47500]	Loss: 0.3822	LR: 0.020000
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Training Epoch: 23 [44032/47500]	Loss: 0.4246	LR: 0.020000
Training Epoch: 23 [44288/47500]	Loss: 0.3522	LR: 0.020000
Training Epoch: 23 [44544/47500]	Loss: 0.3675	LR: 0.020000
Training Epoch: 23 [44800/47500]	Loss: 0.3965	LR: 0.020000
Training Epoch: 23 [45056/47500]	Loss: 0.4813	LR: 0.020000
Training Epoch: 23 [45312/47500]	Loss: 0.3901	LR: 0.020000
Training Epoch: 23 [45568/47500]	Loss: 0.3884	LR: 0.020000
Training Epoch: 23 [45824/47500]	Loss: 0.3665	LR: 0.020000
Training Epoch: 23 [46080/47500]	Loss: 0.3809	LR: 0.020000
Training Epoch: 23 [46336/47500]	Loss: 0.4635	LR: 0.020000
Training Epoch: 23 [46592/47500]	Loss: 0.3874	LR: 0.020000
Training Epoch: 23 [46848/47500]	Loss: 0.4709	LR: 0.020000
Training Epoch: 23 [47104/47500]	Loss: 0.4668	LR: 0.020000
Training Epoch: 23 [47360/47500]	Loss: 0.4403	LR: 0.020000
Training Epoch: 23 [47500/47500]	Loss: 0.4739	LR: 0.020000
Epoch 23 - Average Train Loss: 0.4188, Train Accuracy: 0.8606
Epoch 23 training time consumed: 28.36s
Evaluating Network.....
Test set: Epoch: 23, Average loss: 0.0031, Accuracy: 0.7713, Time consumed:0.92s
Training Epoch: 24 [256/47500]	Loss: 0.3826	LR: 0.020000
Training Epoch: 24 [512/47500]	Loss: 0.3173	LR: 0.020000
Training Epoch: 24 [768/47500]	Loss: 0.3734	LR: 0.020000
Training Epoch: 24 [1024/47500]	Loss: 0.4470	LR: 0.020000
Training Epoch: 24 [1280/47500]	Loss: 0.5031	LR: 0.020000
Training Epoch: 24 [1536/47500]	Loss: 0.3570	LR: 0.020000
Training Epoch: 24 [1792/47500]	Loss: 0.3537	LR: 0.020000
Training Epoch: 24 [2048/47500]	Loss: 0.3810	LR: 0.020000
Training Epoch: 24 [2304/47500]	Loss: 0.4085	LR: 0.020000
Training Epoch: 24 [2560/47500]	Loss: 0.3492	LR: 0.020000
Training Epoch: 24 [2816/47500]	Loss: 0.3752	LR: 0.020000
Training Epoch: 24 [3072/47500]	Loss: 0.3451	LR: 0.020000
Training Epoch: 24 [3328/47500]	Loss: 0.2509	LR: 0.020000
Training Epoch: 24 [3584/47500]	Loss: 0.3503	LR: 0.020000
Training Epoch: 24 [3840/47500]	Loss: 0.3413	LR: 0.020000
Training Epoch: 24 [4096/47500]	Loss: 0.3790	LR: 0.020000
Training Epoch: 24 [4352/47500]	Loss: 0.3727	LR: 0.020000
Training Epoch: 24 [4608/47500]	Loss: 0.4151	LR: 0.020000
Training Epoch: 24 [4864/47500]	Loss: 0.3647	LR: 0.020000
Training Epoch: 24 [5120/47500]	Loss: 0.4303	LR: 0.020000
Training Epoch: 24 [5376/47500]	Loss: 0.3391	LR: 0.020000
Training Epoch: 24 [5632/47500]	Loss: 0.4042	LR: 0.020000
Training Epoch: 24 [5888/47500]	Loss: 0.4025	LR: 0.020000
Training Epoch: 24 [6144/47500]	Loss: 0.3491	LR: 0.020000
Training Epoch: 24 [6400/47500]	Loss: 0.3956	LR: 0.020000
Training Epoch: 24 [6656/47500]	Loss: 0.3894	LR: 0.020000
Training Epoch: 24 [6912/47500]	Loss: 0.4121	LR: 0.020000
Training Epoch: 24 [7168/47500]	Loss: 0.4382	LR: 0.020000
Training Epoch: 24 [7424/47500]	Loss: 0.4733	LR: 0.020000
Training Epoch: 24 [7680/47500]	Loss: 0.4262	LR: 0.020000
Training Epoch: 24 [7936/47500]	Loss: 0.3277	LR: 0.020000
Training Epoch: 24 [8192/47500]	Loss: 0.4129	LR: 0.020000
Training Epoch: 24 [8448/47500]	Loss: 0.3768	LR: 0.020000
Training Epoch: 24 [8704/47500]	Loss: 0.4211	LR: 0.020000
Training Epoch: 24 [8960/47500]	Loss: 0.3734	LR: 0.020000
Training Epoch: 24 [9216/47500]	Loss: 0.4107	LR: 0.020000
Training Epoch: 24 [9472/47500]	Loss: 0.4182	LR: 0.020000
Training Epoch: 24 [9728/47500]	Loss: 0.4448	LR: 0.020000
Training Epoch: 24 [9984/47500]	Loss: 0.3547	LR: 0.020000
Training Epoch: 24 [10240/47500]	Loss: 0.4139	LR: 0.020000
Training Epoch: 24 [10496/47500]	Loss: 0.3654	LR: 0.020000
Training Epoch: 24 [10752/47500]	Loss: 0.4057	LR: 0.020000
Training Epoch: 24 [11008/47500]	Loss: 0.3092	LR: 0.020000
Training Epoch: 24 [11264/47500]	Loss: 0.3689	LR: 0.020000
Training Epoch: 24 [11520/47500]	Loss: 0.3733	LR: 0.020000
Training Epoch: 24 [11776/47500]	Loss: 0.3593	LR: 0.020000
Training Epoch: 24 [12032/47500]	Loss: 0.4502	LR: 0.020000
Training Epoch: 24 [12288/47500]	Loss: 0.3909	LR: 0.020000
Training Epoch: 24 [12544/47500]	Loss: 0.2905	LR: 0.020000
Training Epoch: 24 [12800/47500]	Loss: 0.3084	LR: 0.020000
Training Epoch: 24 [13056/47500]	Loss: 0.4329	LR: 0.020000
Training Epoch: 24 [13312/47500]	Loss: 0.3652	LR: 0.020000
Training Epoch: 24 [13568/47500]	Loss: 0.3543	LR: 0.020000
Training Epoch: 24 [13824/47500]	Loss: 0.3789	LR: 0.020000
Training Epoch: 24 [14080/47500]	Loss: 0.4423	LR: 0.020000
Training Epoch: 24 [14336/47500]	Loss: 0.4816	LR: 0.020000
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Training Epoch: 24 [14848/47500]	Loss: 0.4158	LR: 0.020000
Training Epoch: 24 [15104/47500]	Loss: 0.3793	LR: 0.020000
Training Epoch: 24 [15360/47500]	Loss: 0.3719	LR: 0.020000
Training Epoch: 24 [15616/47500]	Loss: 0.3729	LR: 0.020000
Training Epoch: 24 [15872/47500]	Loss: 0.4567	LR: 0.020000
Training Epoch: 24 [16128/47500]	Loss: 0.4546	LR: 0.020000
Training Epoch: 24 [16384/47500]	Loss: 0.4959	LR: 0.020000
Training Epoch: 24 [16640/47500]	Loss: 0.4222	LR: 0.020000
Training Epoch: 24 [16896/47500]	Loss: 0.3858	LR: 0.020000
Training Epoch: 24 [17152/47500]	Loss: 0.4223	LR: 0.020000
Training Epoch: 24 [17408/47500]	Loss: 0.4627	LR: 0.020000
Training Epoch: 24 [17664/47500]	Loss: 0.3668	LR: 0.020000
Training Epoch: 24 [17920/47500]	Loss: 0.3330	LR: 0.020000
Training Epoch: 24 [18176/47500]	Loss: 0.4046	LR: 0.020000
Training Epoch: 24 [18432/47500]	Loss: 0.3682	LR: 0.020000
Training Epoch: 24 [18688/47500]	Loss: 0.2817	LR: 0.020000
Training Epoch: 24 [18944/47500]	Loss: 0.4457	LR: 0.020000
Training Epoch: 24 [19200/47500]	Loss: 0.3652	LR: 0.020000
Training Epoch: 24 [19456/47500]	Loss: 0.4777	LR: 0.020000
Training Epoch: 24 [19712/47500]	Loss: 0.3976	LR: 0.020000
Training Epoch: 24 [19968/47500]	Loss: 0.4262	LR: 0.020000
Training Epoch: 24 [20224/47500]	Loss: 0.4293	LR: 0.020000
Training Epoch: 24 [20480/47500]	Loss: 0.4603	LR: 0.020000
Training Epoch: 24 [20736/47500]	Loss: 0.4469	LR: 0.020000
Training Epoch: 24 [20992/47500]	Loss: 0.4350	LR: 0.020000
Training Epoch: 24 [21248/47500]	Loss: 0.4566	LR: 0.020000
Training Epoch: 24 [21504/47500]	Loss: 0.5400	LR: 0.020000
Training Epoch: 24 [21760/47500]	Loss: 0.4125	LR: 0.020000
Training Epoch: 24 [22016/47500]	Loss: 0.4370	LR: 0.020000
Training Epoch: 24 [22272/47500]	Loss: 0.4376	LR: 0.020000
Training Epoch: 24 [22528/47500]	Loss: 0.3532	LR: 0.020000
Training Epoch: 24 [22784/47500]	Loss: 0.3905	LR: 0.020000
Training Epoch: 24 [23040/47500]	Loss: 0.3840	LR: 0.020000
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Training Epoch: 24 [23552/47500]	Loss: 0.4534	LR: 0.020000
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Training Epoch: 24 [29440/47500]	Loss: 0.4033	LR: 0.020000
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Training Epoch: 24 [36352/47500]	Loss: 0.4080	LR: 0.020000
Training Epoch: 24 [36608/47500]	Loss: 0.3957	LR: 0.020000
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Training Epoch: 24 [37888/47500]	Loss: 0.3568	LR: 0.020000
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Training Epoch: 24 [39424/47500]	Loss: 0.4200	LR: 0.020000
Training Epoch: 24 [39680/47500]	Loss: 0.3791	LR: 0.020000
Training Epoch: 24 [39936/47500]	Loss: 0.4223	LR: 0.020000
Training Epoch: 24 [40192/47500]	Loss: 0.4528	LR: 0.020000
Training Epoch: 24 [40448/47500]	Loss: 0.4822	LR: 0.020000
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Training Epoch: 24 [40960/47500]	Loss: 0.4664	LR: 0.020000
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Training Epoch: 24 [41472/47500]	Loss: 0.3951	LR: 0.020000
Training Epoch: 24 [41728/47500]	Loss: 0.3924	LR: 0.020000
Training Epoch: 24 [41984/47500]	Loss: 0.3625	LR: 0.020000
Training Epoch: 24 [42240/47500]	Loss: 0.3483	LR: 0.020000
Training Epoch: 24 [42496/47500]	Loss: 0.4456	LR: 0.020000
Training Epoch: 24 [42752/47500]	Loss: 0.4093	LR: 0.020000
Training Epoch: 24 [43008/47500]	Loss: 0.4116	LR: 0.020000
Training Epoch: 24 [43264/47500]	Loss: 0.4220	LR: 0.020000
Training Epoch: 24 [43520/47500]	Loss: 0.4425	LR: 0.020000
Training Epoch: 24 [43776/47500]	Loss: 0.4243	LR: 0.020000
Training Epoch: 24 [44032/47500]	Loss: 0.4335	LR: 0.020000
Training Epoch: 24 [44288/47500]	Loss: 0.4080	LR: 0.020000
Training Epoch: 24 [44544/47500]	Loss: 0.3488	LR: 0.020000
Training Epoch: 24 [44800/47500]	Loss: 0.5232	LR: 0.020000
Training Epoch: 24 [45056/47500]	Loss: 0.3839	LR: 0.020000
Training Epoch: 24 [45312/47500]	Loss: 0.4084	LR: 0.020000
Training Epoch: 24 [45568/47500]	Loss: 0.4175	LR: 0.020000
Training Epoch: 24 [45824/47500]	Loss: 0.3612	LR: 0.020000
Training Epoch: 24 [46080/47500]	Loss: 0.4870	LR: 0.020000
Training Epoch: 24 [46336/47500]	Loss: 0.3639	LR: 0.020000
Training Epoch: 24 [46592/47500]	Loss: 0.3619	LR: 0.020000
Training Epoch: 24 [46848/47500]	Loss: 0.4685	LR: 0.020000
Training Epoch: 24 [47104/47500]	Loss: 0.4375	LR: 0.020000
Training Epoch: 24 [47360/47500]	Loss: 0.4016	LR: 0.020000
Training Epoch: 24 [47500/47500]	Loss: 0.3892	LR: 0.020000
Epoch 24 - Average Train Loss: 0.4074, Train Accuracy: 0.8655
Epoch 24 training time consumed: 28.38s
Evaluating Network.....
Test set: Epoch: 24, Average loss: 0.0031, Accuracy: 0.7706, Time consumed:0.91s
Training Epoch: 25 [256/47500]	Loss: 0.3593	LR: 0.020000
Training Epoch: 25 [512/47500]	Loss: 0.4828	LR: 0.020000
Training Epoch: 25 [768/47500]	Loss: 0.3873	LR: 0.020000
Training Epoch: 25 [1024/47500]	Loss: 0.3766	LR: 0.020000
Training Epoch: 25 [1280/47500]	Loss: 0.4353	LR: 0.020000
Training Epoch: 25 [1536/47500]	Loss: 0.3654	LR: 0.020000
Training Epoch: 25 [1792/47500]	Loss: 0.3600	LR: 0.020000
Training Epoch: 25 [2048/47500]	Loss: 0.4313	LR: 0.020000
Training Epoch: 25 [2304/47500]	Loss: 0.4032	LR: 0.020000
Training Epoch: 25 [2560/47500]	Loss: 0.3907	LR: 0.020000
Training Epoch: 25 [2816/47500]	Loss: 0.3744	LR: 0.020000
Training Epoch: 25 [3072/47500]	Loss: 0.3450	LR: 0.020000
Training Epoch: 25 [3328/47500]	Loss: 0.3600	LR: 0.020000
Training Epoch: 25 [3584/47500]	Loss: 0.4948	LR: 0.020000
Training Epoch: 25 [3840/47500]	Loss: 0.3634	LR: 0.020000
Training Epoch: 25 [4096/47500]	Loss: 0.3782	LR: 0.020000
Training Epoch: 25 [4352/47500]	Loss: 0.3220	LR: 0.020000
Training Epoch: 25 [4608/47500]	Loss: 0.4417	LR: 0.020000
Training Epoch: 25 [4864/47500]	Loss: 0.4921	LR: 0.020000
Training Epoch: 25 [5120/47500]	Loss: 0.3457	LR: 0.020000
Training Epoch: 25 [5376/47500]	Loss: 0.3361	LR: 0.020000
Training Epoch: 25 [5632/47500]	Loss: 0.3235	LR: 0.020000
Training Epoch: 25 [5888/47500]	Loss: 0.3831	LR: 0.020000
Training Epoch: 25 [6144/47500]	Loss: 0.3740	LR: 0.020000
Training Epoch: 25 [6400/47500]	Loss: 0.3908	LR: 0.020000
Training Epoch: 25 [6656/47500]	Loss: 0.4198	LR: 0.020000
Training Epoch: 25 [6912/47500]	Loss: 0.3715	LR: 0.020000
Training Epoch: 25 [7168/47500]	Loss: 0.3928	LR: 0.020000
Training Epoch: 25 [7424/47500]	Loss: 0.2961	LR: 0.020000
Training Epoch: 25 [7680/47500]	Loss: 0.3187	LR: 0.020000
Training Epoch: 25 [7936/47500]	Loss: 0.3741	LR: 0.020000
Training Epoch: 25 [8192/47500]	Loss: 0.2808	LR: 0.020000
Training Epoch: 25 [8448/47500]	Loss: 0.4457	LR: 0.020000
Training Epoch: 25 [8704/47500]	Loss: 0.3436	LR: 0.020000
Training Epoch: 25 [8960/47500]	Loss: 0.3180	LR: 0.020000
Training Epoch: 25 [9216/47500]	Loss: 0.4570	LR: 0.020000
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Training Epoch: 25 [9728/47500]	Loss: 0.3914	LR: 0.020000
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Training Epoch: 25 [10240/47500]	Loss: 0.3431	LR: 0.020000
Training Epoch: 25 [10496/47500]	Loss: 0.3955	LR: 0.020000
Training Epoch: 25 [10752/47500]	Loss: 0.4123	LR: 0.020000
Training Epoch: 25 [11008/47500]	Loss: 0.3250	LR: 0.020000
Training Epoch: 25 [11264/47500]	Loss: 0.3114	LR: 0.020000
Training Epoch: 25 [11520/47500]	Loss: 0.3573	LR: 0.020000
Training Epoch: 25 [11776/47500]	Loss: 0.3217	LR: 0.020000
Training Epoch: 25 [12032/47500]	Loss: 0.4236	LR: 0.020000
Training Epoch: 25 [12288/47500]	Loss: 0.4073	LR: 0.020000
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Training Epoch: 25 [13056/47500]	Loss: 0.4048	LR: 0.020000
Training Epoch: 25 [13312/47500]	Loss: 0.3704	LR: 0.020000
Training Epoch: 25 [13568/47500]	Loss: 0.4289	LR: 0.020000
Training Epoch: 25 [13824/47500]	Loss: 0.4005	LR: 0.020000
Training Epoch: 25 [14080/47500]	Loss: 0.2350	LR: 0.020000
Training Epoch: 25 [14336/47500]	Loss: 0.4090	LR: 0.020000
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Training Epoch: 25 [15104/47500]	Loss: 0.4008	LR: 0.020000
Training Epoch: 25 [15360/47500]	Loss: 0.4375	LR: 0.020000
Training Epoch: 25 [15616/47500]	Loss: 0.5051	LR: 0.020000
Training Epoch: 25 [15872/47500]	Loss: 0.4384	LR: 0.020000
Training Epoch: 25 [16128/47500]	Loss: 0.3128	LR: 0.020000
Training Epoch: 25 [16384/47500]	Loss: 0.3089	LR: 0.020000
Training Epoch: 25 [16640/47500]	Loss: 0.2776	LR: 0.020000
Training Epoch: 25 [16896/47500]	Loss: 0.4201	LR: 0.020000
Training Epoch: 25 [17152/47500]	Loss: 0.2925	LR: 0.020000
Training Epoch: 25 [17408/47500]	Loss: 0.3327	LR: 0.020000
Training Epoch: 25 [17664/47500]	Loss: 0.4189	LR: 0.020000
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Training Epoch: 25 [18176/47500]	Loss: 0.3410	LR: 0.020000
Training Epoch: 25 [18432/47500]	Loss: 0.2908	LR: 0.020000
Training Epoch: 25 [18688/47500]	Loss: 0.4222	LR: 0.020000
Training Epoch: 25 [18944/47500]	Loss: 0.4195	LR: 0.020000
Training Epoch: 25 [19200/47500]	Loss: 0.4098	LR: 0.020000
Training Epoch: 25 [19456/47500]	Loss: 0.3482	LR: 0.020000
Training Epoch: 25 [19712/47500]	Loss: 0.3597	LR: 0.020000
Training Epoch: 25 [19968/47500]	Loss: 0.3456	LR: 0.020000
Training Epoch: 25 [20224/47500]	Loss: 0.3638	LR: 0.020000
Training Epoch: 25 [20480/47500]	Loss: 0.4077	LR: 0.020000
Training Epoch: 25 [20736/47500]	Loss: 0.4895	LR: 0.020000
Training Epoch: 25 [20992/47500]	Loss: 0.4006	LR: 0.020000
Training Epoch: 25 [21248/47500]	Loss: 0.3997	LR: 0.020000
Training Epoch: 25 [21504/47500]	Loss: 0.3267	LR: 0.020000
Training Epoch: 25 [21760/47500]	Loss: 0.3838	LR: 0.020000
Training Epoch: 25 [22016/47500]	Loss: 0.3891	LR: 0.020000
Training Epoch: 25 [22272/47500]	Loss: 0.4130	LR: 0.020000
Training Epoch: 25 [22528/47500]	Loss: 0.3991	LR: 0.020000
Training Epoch: 25 [22784/47500]	Loss: 0.4397	LR: 0.020000
Training Epoch: 25 [23040/47500]	Loss: 0.3961	LR: 0.020000
Training Epoch: 25 [23296/47500]	Loss: 0.5266	LR: 0.020000
Training Epoch: 25 [23552/47500]	Loss: 0.5017	LR: 0.020000
Training Epoch: 25 [23808/47500]	Loss: 0.3175	LR: 0.020000
Training Epoch: 25 [24064/47500]	Loss: 0.3085	LR: 0.020000
Training Epoch: 25 [24320/47500]	Loss: 0.4253	LR: 0.020000
Training Epoch: 25 [24576/47500]	Loss: 0.3886	LR: 0.020000
Training Epoch: 25 [24832/47500]	Loss: 0.4561	LR: 0.020000
Training Epoch: 25 [25088/47500]	Loss: 0.5010	LR: 0.020000
Training Epoch: 25 [25344/47500]	Loss: 0.3634	LR: 0.020000
Training Epoch: 25 [25600/47500]	Loss: 0.4149	LR: 0.020000
Training Epoch: 25 [25856/47500]	Loss: 0.4316	LR: 0.020000
Training Epoch: 25 [26112/47500]	Loss: 0.4134	LR: 0.020000
Training Epoch: 25 [26368/47500]	Loss: 0.4339	LR: 0.020000
Training Epoch: 25 [26624/47500]	Loss: 0.4542	LR: 0.020000
Training Epoch: 25 [26880/47500]	Loss: 0.5107	LR: 0.020000
Training Epoch: 25 [27136/47500]	Loss: 0.3903	LR: 0.020000
Training Epoch: 25 [27392/47500]	Loss: 0.3328	LR: 0.020000
Training Epoch: 25 [27648/47500]	Loss: 0.4192	LR: 0.020000
Training Epoch: 25 [27904/47500]	Loss: 0.3934	LR: 0.020000
Training Epoch: 25 [28160/47500]	Loss: 0.3367	LR: 0.020000
Training Epoch: 25 [28416/47500]	Loss: 0.4039	LR: 0.020000
Training Epoch: 25 [28672/47500]	Loss: 0.3696	LR: 0.020000
Training Epoch: 25 [28928/47500]	Loss: 0.3793	LR: 0.020000
Training Epoch: 25 [29184/47500]	Loss: 0.4101	LR: 0.020000
Training Epoch: 25 [29440/47500]	Loss: 0.4387	LR: 0.020000
Training Epoch: 25 [29696/47500]	Loss: 0.4495	LR: 0.020000
Training Epoch: 25 [29952/47500]	Loss: 0.4202	LR: 0.020000
Training Epoch: 25 [30208/47500]	Loss: 0.4047	LR: 0.020000
Training Epoch: 25 [30464/47500]	Loss: 0.4187	LR: 0.020000
Training Epoch: 25 [30720/47500]	Loss: 0.3705	LR: 0.020000
Training Epoch: 25 [30976/47500]	Loss: 0.4333	LR: 0.020000
Training Epoch: 25 [31232/47500]	Loss: 0.4287	LR: 0.020000
Training Epoch: 25 [31488/47500]	Loss: 0.4545	LR: 0.020000
Training Epoch: 25 [31744/47500]	Loss: 0.4127	LR: 0.020000
Training Epoch: 25 [32000/47500]	Loss: 0.4419	LR: 0.020000
Training Epoch: 25 [32256/47500]	Loss: 0.4380	LR: 0.020000
Training Epoch: 25 [32512/47500]	Loss: 0.4088	LR: 0.020000
Training Epoch: 25 [32768/47500]	Loss: 0.4245	LR: 0.020000
Training Epoch: 25 [33024/47500]	Loss: 0.3407	LR: 0.020000
Training Epoch: 25 [33280/47500]	Loss: 0.4870	LR: 0.020000
Training Epoch: 25 [33536/47500]	Loss: 0.4025	LR: 0.020000
Training Epoch: 25 [33792/47500]	Loss: 0.3301	LR: 0.020000
Training Epoch: 25 [34048/47500]	Loss: 0.3517	LR: 0.020000
Training Epoch: 25 [34304/47500]	Loss: 0.4586	LR: 0.020000
Training Epoch: 25 [34560/47500]	Loss: 0.4183	LR: 0.020000
Training Epoch: 25 [34816/47500]	Loss: 0.3736	LR: 0.020000
Training Epoch: 25 [35072/47500]	Loss: 0.4057	LR: 0.020000
Training Epoch: 25 [35328/47500]	Loss: 0.4439	LR: 0.020000
Training Epoch: 25 [35584/47500]	Loss: 0.4672	LR: 0.020000
Training Epoch: 25 [35840/47500]	Loss: 0.3606	LR: 0.020000
Training Epoch: 25 [36096/47500]	Loss: 0.4736	LR: 0.020000
Training Epoch: 25 [36352/47500]	Loss: 0.5596	LR: 0.020000
Training Epoch: 25 [36608/47500]	Loss: 0.4287	LR: 0.020000
Training Epoch: 25 [36864/47500]	Loss: 0.3298	LR: 0.020000
Training Epoch: 25 [37120/47500]	Loss: 0.4298	LR: 0.020000
Training Epoch: 25 [37376/47500]	Loss: 0.4087	LR: 0.020000
Training Epoch: 25 [37632/47500]	Loss: 0.3690	LR: 0.020000
Training Epoch: 25 [37888/47500]	Loss: 0.3870	LR: 0.020000
Training Epoch: 25 [38144/47500]	Loss: 0.3955	LR: 0.020000
Training Epoch: 25 [38400/47500]	Loss: 0.3945	LR: 0.020000
Training Epoch: 25 [38656/47500]	Loss: 0.3810	LR: 0.020000
Training Epoch: 25 [38912/47500]	Loss: 0.4290	LR: 0.020000
Training Epoch: 25 [39168/47500]	Loss: 0.3268	LR: 0.020000
Training Epoch: 25 [39424/47500]	Loss: 0.4424	LR: 0.020000
Training Epoch: 25 [39680/47500]	Loss: 0.4062	LR: 0.020000
Training Epoch: 25 [39936/47500]	Loss: 0.4995	LR: 0.020000
Training Epoch: 25 [40192/47500]	Loss: 0.3470	LR: 0.020000
Training Epoch: 25 [40448/47500]	Loss: 0.3759	LR: 0.020000
Training Epoch: 25 [40704/47500]	Loss: 0.4669	LR: 0.020000
Training Epoch: 25 [40960/47500]	Loss: 0.5148	LR: 0.020000
Training Epoch: 25 [41216/47500]	Loss: 0.4101	LR: 0.020000
Training Epoch: 25 [41472/47500]	Loss: 0.4555	LR: 0.020000
Training Epoch: 25 [41728/47500]	Loss: 0.3878	LR: 0.020000
Training Epoch: 25 [41984/47500]	Loss: 0.3529	LR: 0.020000
Training Epoch: 25 [42240/47500]	Loss: 0.4853	LR: 0.020000
Training Epoch: 25 [42496/47500]	Loss: 0.4133	LR: 0.020000
Training Epoch: 25 [42752/47500]	Loss: 0.3677	LR: 0.020000
Training Epoch: 25 [43008/47500]	Loss: 0.4172	LR: 0.020000
Training Epoch: 25 [43264/47500]	Loss: 0.4321	LR: 0.020000
Training Epoch: 25 [43520/47500]	Loss: 0.3933	LR: 0.020000
Training Epoch: 25 [43776/47500]	Loss: 0.4254	LR: 0.020000
Training Epoch: 25 [44032/47500]	Loss: 0.4686	LR: 0.020000
Training Epoch: 25 [44288/47500]	Loss: 0.3446	LR: 0.020000
Training Epoch: 25 [44544/47500]	Loss: 0.4589	LR: 0.020000
Training Epoch: 25 [44800/47500]	Loss: 0.4094	LR: 0.020000
Training Epoch: 25 [45056/47500]	Loss: 0.3659	LR: 0.020000
Training Epoch: 25 [45312/47500]	Loss: 0.3952	LR: 0.020000
Training Epoch: 25 [45568/47500]	Loss: 0.3775	LR: 0.020000
Training Epoch: 25 [45824/47500]	Loss: 0.4507	LR: 0.020000
Training Epoch: 25 [46080/47500]	Loss: 0.3523	LR: 0.020000
Training Epoch: 25 [46336/47500]	Loss: 0.5462	LR: 0.020000
Training Epoch: 25 [46592/47500]	Loss: 0.3009	LR: 0.020000
Training Epoch: 25 [46848/47500]	Loss: 0.4687	LR: 0.020000
Training Epoch: 25 [47104/47500]	Loss: 0.4324	LR: 0.020000
Training Epoch: 25 [47360/47500]	Loss: 0.3927	LR: 0.020000
Training Epoch: 25 [47500/47500]	Loss: 0.3765	LR: 0.020000
Epoch 25 - Average Train Loss: 0.3976, Train Accuracy: 0.8677
Epoch 25 training time consumed: 28.49s
Evaluating Network.....
Test set: Epoch: 25, Average loss: 0.0031, Accuracy: 0.7758, Time consumed:0.92s
Training Epoch: 26 [256/47500]	Loss: 0.2976	LR: 0.020000
Training Epoch: 26 [512/47500]	Loss: 0.3240	LR: 0.020000
Training Epoch: 26 [768/47500]	Loss: 0.3985	LR: 0.020000
Training Epoch: 26 [1024/47500]	Loss: 0.3616	LR: 0.020000
Training Epoch: 26 [1280/47500]	Loss: 0.4032	LR: 0.020000
Training Epoch: 26 [1536/47500]	Loss: 0.3358	LR: 0.020000
Training Epoch: 26 [1792/47500]	Loss: 0.3059	LR: 0.020000
Training Epoch: 26 [2048/47500]	Loss: 0.3451	LR: 0.020000
Training Epoch: 26 [2304/47500]	Loss: 0.3862	LR: 0.020000
Training Epoch: 26 [2560/47500]	Loss: 0.3197	LR: 0.020000
Training Epoch: 26 [2816/47500]	Loss: 0.3285	LR: 0.020000
Training Epoch: 26 [3072/47500]	Loss: 0.3229	LR: 0.020000
Training Epoch: 26 [3328/47500]	Loss: 0.3928	LR: 0.020000
Training Epoch: 26 [3584/47500]	Loss: 0.3449	LR: 0.020000
Training Epoch: 26 [3840/47500]	Loss: 0.4231	LR: 0.020000
Training Epoch: 26 [4096/47500]	Loss: 0.3136	LR: 0.020000
Training Epoch: 26 [4352/47500]	Loss: 0.3770	LR: 0.020000
Training Epoch: 26 [4608/47500]	Loss: 0.4149	LR: 0.020000
Training Epoch: 26 [4864/47500]	Loss: 0.3227	LR: 0.020000
Training Epoch: 26 [5120/47500]	Loss: 0.3614	LR: 0.020000
Training Epoch: 26 [5376/47500]	Loss: 0.3683	LR: 0.020000
Training Epoch: 26 [5632/47500]	Loss: 0.3364	LR: 0.020000
Training Epoch: 26 [5888/47500]	Loss: 0.4534	LR: 0.020000
Training Epoch: 26 [6144/47500]	Loss: 0.4008	LR: 0.020000
Training Epoch: 26 [6400/47500]	Loss: 0.2463	LR: 0.020000
Training Epoch: 26 [6656/47500]	Loss: 0.3869	LR: 0.020000
Training Epoch: 26 [6912/47500]	Loss: 0.3656	LR: 0.020000
Training Epoch: 26 [7168/47500]	Loss: 0.3663	LR: 0.020000
Training Epoch: 26 [7424/47500]	Loss: 0.3800	LR: 0.020000
Training Epoch: 26 [7680/47500]	Loss: 0.4044	LR: 0.020000
Training Epoch: 26 [7936/47500]	Loss: 0.3868	LR: 0.020000
Training Epoch: 26 [8192/47500]	Loss: 0.3298	LR: 0.020000
Training Epoch: 26 [8448/47500]	Loss: 0.3192	LR: 0.020000
Training Epoch: 26 [8704/47500]	Loss: 0.3898	LR: 0.020000
Training Epoch: 26 [8960/47500]	Loss: 0.2450	LR: 0.020000
Training Epoch: 26 [9216/47500]	Loss: 0.4176	LR: 0.020000
Training Epoch: 26 [9472/47500]	Loss: 0.3791	LR: 0.020000
Training Epoch: 26 [9728/47500]	Loss: 0.3155	LR: 0.020000
Training Epoch: 26 [9984/47500]	Loss: 0.2811	LR: 0.020000
Training Epoch: 26 [10240/47500]	Loss: 0.4277	LR: 0.020000
Training Epoch: 26 [10496/47500]	Loss: 0.3436	LR: 0.020000
Training Epoch: 26 [10752/47500]	Loss: 0.2831	LR: 0.020000
Training Epoch: 26 [11008/47500]	Loss: 0.3912	LR: 0.020000
Training Epoch: 26 [11264/47500]	Loss: 0.3604	LR: 0.020000
Training Epoch: 26 [11520/47500]	Loss: 0.3860	LR: 0.020000
Training Epoch: 26 [11776/47500]	Loss: 0.4022	LR: 0.020000
Training Epoch: 26 [12032/47500]	Loss: 0.3703	LR: 0.020000
Training Epoch: 26 [12288/47500]	Loss: 0.3685	LR: 0.020000
Training Epoch: 26 [12544/47500]	Loss: 0.3335	LR: 0.020000
Training Epoch: 26 [12800/47500]	Loss: 0.4248	LR: 0.020000
Training Epoch: 26 [13056/47500]	Loss: 0.2769	LR: 0.020000
Training Epoch: 26 [13312/47500]	Loss: 0.2961	LR: 0.020000
Training Epoch: 26 [13568/47500]	Loss: 0.3133	LR: 0.020000
Training Epoch: 26 [13824/47500]	Loss: 0.3850	LR: 0.020000
Training Epoch: 26 [14080/47500]	Loss: 0.3920	LR: 0.020000
Training Epoch: 26 [14336/47500]	Loss: 0.3396	LR: 0.020000
Training Epoch: 26 [14592/47500]	Loss: 0.3521	LR: 0.020000
Training Epoch: 26 [14848/47500]	Loss: 0.2998	LR: 0.020000
Training Epoch: 26 [15104/47500]	Loss: 0.4105	LR: 0.020000
Training Epoch: 26 [15360/47500]	Loss: 0.3152	LR: 0.020000
Training Epoch: 26 [15616/47500]	Loss: 0.4764	LR: 0.020000
Training Epoch: 26 [15872/47500]	Loss: 0.3892	LR: 0.020000
Training Epoch: 26 [16128/47500]	Loss: 0.3324	LR: 0.020000
Training Epoch: 26 [16384/47500]	Loss: 0.3228	LR: 0.020000
Training Epoch: 26 [16640/47500]	Loss: 0.3584	LR: 0.020000
Training Epoch: 26 [16896/47500]	Loss: 0.3410	LR: 0.020000
Training Epoch: 26 [17152/47500]	Loss: 0.3306	LR: 0.020000
Training Epoch: 26 [17408/47500]	Loss: 0.3503	LR: 0.020000
Training Epoch: 26 [17664/47500]	Loss: 0.3486	LR: 0.020000
Training Epoch: 26 [17920/47500]	Loss: 0.3293	LR: 0.020000
Training Epoch: 26 [18176/47500]	Loss: 0.3613	LR: 0.020000
Training Epoch: 26 [18432/47500]	Loss: 0.3890	LR: 0.020000
Training Epoch: 26 [18688/47500]	Loss: 0.4319	LR: 0.020000
Training Epoch: 26 [18944/47500]	Loss: 0.3434	LR: 0.020000
Training Epoch: 26 [19200/47500]	Loss: 0.3653	LR: 0.020000
Training Epoch: 26 [19456/47500]	Loss: 0.3858	LR: 0.020000
Training Epoch: 26 [19712/47500]	Loss: 0.3905	LR: 0.020000
Training Epoch: 26 [19968/47500]	Loss: 0.3748	LR: 0.020000
Training Epoch: 26 [20224/47500]	Loss: 0.3104	LR: 0.020000
Training Epoch: 26 [20480/47500]	Loss: 0.3416	LR: 0.020000
Training Epoch: 26 [20736/47500]	Loss: 0.4748	LR: 0.020000
Training Epoch: 26 [20992/47500]	Loss: 0.4158	LR: 0.020000
Training Epoch: 26 [21248/47500]	Loss: 0.4070	LR: 0.020000
Training Epoch: 26 [21504/47500]	Loss: 0.3658	LR: 0.020000
Training Epoch: 26 [21760/47500]	Loss: 0.4015	LR: 0.020000
Training Epoch: 26 [22016/47500]	Loss: 0.4610	LR: 0.020000
Training Epoch: 26 [22272/47500]	Loss: 0.3685	LR: 0.020000
Training Epoch: 26 [22528/47500]	Loss: 0.3834	LR: 0.020000
Training Epoch: 26 [22784/47500]	Loss: 0.2854	LR: 0.020000
Training Epoch: 26 [23040/47500]	Loss: 0.3980	LR: 0.020000
Training Epoch: 26 [23296/47500]	Loss: 0.4111	LR: 0.020000
Training Epoch: 26 [23552/47500]	Loss: 0.3547	LR: 0.020000
Training Epoch: 26 [23808/47500]	Loss: 0.3957	LR: 0.020000
Training Epoch: 26 [24064/47500]	Loss: 0.3779	LR: 0.020000
Training Epoch: 26 [24320/47500]	Loss: 0.4117	LR: 0.020000
Training Epoch: 26 [24576/47500]	Loss: 0.3439	LR: 0.020000
Training Epoch: 26 [24832/47500]	Loss: 0.4345	LR: 0.020000
Training Epoch: 26 [25088/47500]	Loss: 0.3499	LR: 0.020000
Training Epoch: 26 [25344/47500]	Loss: 0.3435	LR: 0.020000
Training Epoch: 26 [25600/47500]	Loss: 0.4464	LR: 0.020000
Training Epoch: 26 [25856/47500]	Loss: 0.3123	LR: 0.020000
Training Epoch: 26 [26112/47500]	Loss: 0.3621	LR: 0.020000
Training Epoch: 26 [26368/47500]	Loss: 0.3801	LR: 0.020000
Training Epoch: 26 [26624/47500]	Loss: 0.2992	LR: 0.020000
Training Epoch: 26 [26880/47500]	Loss: 0.3694	LR: 0.020000
Training Epoch: 26 [27136/47500]	Loss: 0.3598	LR: 0.020000
Training Epoch: 26 [27392/47500]	Loss: 0.3255	LR: 0.020000
Training Epoch: 26 [27648/47500]	Loss: 0.3116	LR: 0.020000
Training Epoch: 26 [27904/47500]	Loss: 0.3822	LR: 0.020000
Training Epoch: 26 [28160/47500]	Loss: 0.2800	LR: 0.020000
Training Epoch: 26 [28416/47500]	Loss: 0.3328	LR: 0.020000
Training Epoch: 26 [28672/47500]	Loss: 0.4062	LR: 0.020000
Training Epoch: 26 [28928/47500]	Loss: 0.4461	LR: 0.020000
Training Epoch: 26 [29184/47500]	Loss: 0.3816	LR: 0.020000
Training Epoch: 26 [29440/47500]	Loss: 0.3901	LR: 0.020000
Training Epoch: 26 [29696/47500]	Loss: 0.4510	LR: 0.020000
Training Epoch: 26 [29952/47500]	Loss: 0.3950	LR: 0.020000
Training Epoch: 26 [30208/47500]	Loss: 0.3696	LR: 0.020000
Training Epoch: 26 [30464/47500]	Loss: 0.3963	LR: 0.020000
Training Epoch: 26 [30720/47500]	Loss: 0.4448	LR: 0.020000
Training Epoch: 26 [30976/47500]	Loss: 0.4606	LR: 0.020000
Training Epoch: 26 [31232/47500]	Loss: 0.3770	LR: 0.020000
Training Epoch: 26 [31488/47500]	Loss: 0.4353	LR: 0.020000
Training Epoch: 26 [31744/47500]	Loss: 0.3482	LR: 0.020000
Training Epoch: 26 [32000/47500]	Loss: 0.4184	LR: 0.020000
Training Epoch: 26 [32256/47500]	Loss: 0.4174	LR: 0.020000
Training Epoch: 26 [32512/47500]	Loss: 0.3463	LR: 0.020000
Training Epoch: 26 [32768/47500]	Loss: 0.3772	LR: 0.020000
Training Epoch: 26 [33024/47500]	Loss: 0.2892	LR: 0.020000
Training Epoch: 26 [33280/47500]	Loss: 0.2519	LR: 0.020000
Training Epoch: 26 [33536/47500]	Loss: 0.3446	LR: 0.020000
Training Epoch: 26 [33792/47500]	Loss: 0.4176	LR: 0.020000
Training Epoch: 26 [34048/47500]	Loss: 0.4192	LR: 0.020000
Training Epoch: 26 [34304/47500]	Loss: 0.3602	LR: 0.020000
Training Epoch: 26 [34560/47500]	Loss: 0.3846	LR: 0.020000
Training Epoch: 26 [34816/47500]	Loss: 0.4392	LR: 0.020000
Training Epoch: 26 [35072/47500]	Loss: 0.4016	LR: 0.020000
Training Epoch: 26 [35328/47500]	Loss: 0.3352	LR: 0.020000
Training Epoch: 26 [35584/47500]	Loss: 0.4104	LR: 0.020000
Training Epoch: 26 [35840/47500]	Loss: 0.4066	LR: 0.020000
Training Epoch: 26 [36096/47500]	Loss: 0.4182	LR: 0.020000
Training Epoch: 26 [36352/47500]	Loss: 0.3375	LR: 0.020000
Training Epoch: 26 [36608/47500]	Loss: 0.3982	LR: 0.020000
Training Epoch: 26 [36864/47500]	Loss: 0.4841	LR: 0.020000
Training Epoch: 26 [37120/47500]	Loss: 0.3512	LR: 0.020000
Training Epoch: 26 [37376/47500]	Loss: 0.3720	LR: 0.020000
Training Epoch: 26 [37632/47500]	Loss: 0.3672	LR: 0.020000
Training Epoch: 26 [37888/47500]	Loss: 0.4276	LR: 0.020000
Training Epoch: 26 [38144/47500]	Loss: 0.3882	LR: 0.020000
Training Epoch: 26 [38400/47500]	Loss: 0.3485	LR: 0.020000
Training Epoch: 26 [38656/47500]	Loss: 0.4487	LR: 0.020000
Training Epoch: 26 [38912/47500]	Loss: 0.4333	LR: 0.020000
Training Epoch: 26 [39168/47500]	Loss: 0.4723	LR: 0.020000
Training Epoch: 26 [39424/47500]	Loss: 0.3393	LR: 0.020000
Training Epoch: 26 [39680/47500]	Loss: 0.3812	LR: 0.020000
Training Epoch: 26 [39936/47500]	Loss: 0.4541	LR: 0.020000
Training Epoch: 26 [40192/47500]	Loss: 0.3688	LR: 0.020000
Training Epoch: 26 [40448/47500]	Loss: 0.3310	LR: 0.020000
Training Epoch: 26 [40704/47500]	Loss: 0.4312	LR: 0.020000
Training Epoch: 26 [40960/47500]	Loss: 0.3843	LR: 0.020000
Training Epoch: 26 [41216/47500]	Loss: 0.4115	LR: 0.020000
Training Epoch: 26 [41472/47500]	Loss: 0.3963	LR: 0.020000
Training Epoch: 26 [41728/47500]	Loss: 0.4286	LR: 0.020000
Training Epoch: 26 [41984/47500]	Loss: 0.3719	LR: 0.020000
Training Epoch: 26 [42240/47500]	Loss: 0.3528	LR: 0.020000
Training Epoch: 26 [42496/47500]	Loss: 0.2896	LR: 0.020000
Training Epoch: 26 [42752/47500]	Loss: 0.4186	LR: 0.020000
Training Epoch: 26 [43008/47500]	Loss: 0.4787	LR: 0.020000
Training Epoch: 26 [43264/47500]	Loss: 0.3820	LR: 0.020000
Training Epoch: 26 [43520/47500]	Loss: 0.4047	LR: 0.020000
Training Epoch: 26 [43776/47500]	Loss: 0.3709	LR: 0.020000
Training Epoch: 26 [44032/47500]	Loss: 0.3991	LR: 0.020000
Training Epoch: 26 [44288/47500]	Loss: 0.4721	LR: 0.020000
Training Epoch: 26 [44544/47500]	Loss: 0.4403	LR: 0.020000
Training Epoch: 26 [44800/47500]	Loss: 0.4318	LR: 0.020000
Training Epoch: 26 [45056/47500]	Loss: 0.3239	LR: 0.020000
Training Epoch: 26 [45312/47500]	Loss: 0.4342	LR: 0.020000
Training Epoch: 26 [45568/47500]	Loss: 0.4311	LR: 0.020000
Training Epoch: 26 [45824/47500]	Loss: 0.3984	LR: 0.020000
Training Epoch: 26 [46080/47500]	Loss: 0.3760	LR: 0.020000
Training Epoch: 26 [46336/47500]	Loss: 0.3525	LR: 0.020000
Training Epoch: 26 [46592/47500]	Loss: 0.4604	LR: 0.020000
Training Epoch: 26 [46848/47500]	Loss: 0.3505	LR: 0.020000
Training Epoch: 26 [47104/47500]	Loss: 0.4813	LR: 0.020000
Training Epoch: 26 [47360/47500]	Loss: 0.4122	LR: 0.020000
Training Epoch: 26 [47500/47500]	Loss: 0.4939	LR: 0.020000
Epoch 26 - Average Train Loss: 0.3759, Train Accuracy: 0.8739
Epoch 26 training time consumed: 28.33s
Evaluating Network.....
Test set: Epoch: 26, Average loss: 0.0033, Accuracy: 0.7637, Time consumed:0.89s
Training Epoch: 27 [256/47500]	Loss: 0.2979	LR: 0.020000
Training Epoch: 27 [512/47500]	Loss: 0.2973	LR: 0.020000
Training Epoch: 27 [768/47500]	Loss: 0.3495	LR: 0.020000
Training Epoch: 27 [1024/47500]	Loss: 0.3763	LR: 0.020000
Training Epoch: 27 [1280/47500]	Loss: 0.2878	LR: 0.020000
Training Epoch: 27 [1536/47500]	Loss: 0.3599	LR: 0.020000
Training Epoch: 27 [1792/47500]	Loss: 0.3544	LR: 0.020000
Training Epoch: 27 [2048/47500]	Loss: 0.4301	LR: 0.020000
Training Epoch: 27 [2304/47500]	Loss: 0.3398	LR: 0.020000
Training Epoch: 27 [2560/47500]	Loss: 0.3129	LR: 0.020000
Training Epoch: 27 [2816/47500]	Loss: 0.4276	LR: 0.020000
Training Epoch: 27 [3072/47500]	Loss: 0.3572	LR: 0.020000
Training Epoch: 27 [3328/47500]	Loss: 0.3374	LR: 0.020000
Training Epoch: 27 [3584/47500]	Loss: 0.2930	LR: 0.020000
Training Epoch: 27 [3840/47500]	Loss: 0.3175	LR: 0.020000
Training Epoch: 27 [4096/47500]	Loss: 0.3726	LR: 0.020000
Training Epoch: 27 [4352/47500]	Loss: 0.3111	LR: 0.020000
Training Epoch: 27 [4608/47500]	Loss: 0.3793	LR: 0.020000
Training Epoch: 27 [4864/47500]	Loss: 0.3744	LR: 0.020000
Training Epoch: 27 [5120/47500]	Loss: 0.3323	LR: 0.020000
Training Epoch: 27 [5376/47500]	Loss: 0.4369	LR: 0.020000
Training Epoch: 27 [5632/47500]	Loss: 0.3443	LR: 0.020000
Training Epoch: 27 [5888/47500]	Loss: 0.3322	LR: 0.020000
Training Epoch: 27 [6144/47500]	Loss: 0.3279	LR: 0.020000
Training Epoch: 27 [6400/47500]	Loss: 0.3429	LR: 0.020000
Training Epoch: 27 [6656/47500]	Loss: 0.2753	LR: 0.020000
Training Epoch: 27 [6912/47500]	Loss: 0.2785	LR: 0.020000
Training Epoch: 27 [7168/47500]	Loss: 0.3004	LR: 0.020000
Training Epoch: 27 [7424/47500]	Loss: 0.3319	LR: 0.020000
Training Epoch: 27 [7680/47500]	Loss: 0.3069	LR: 0.020000
Training Epoch: 27 [7936/47500]	Loss: 0.3546	LR: 0.020000
Training Epoch: 27 [8192/47500]	Loss: 0.3439	LR: 0.020000
Training Epoch: 27 [8448/47500]	Loss: 0.3154	LR: 0.020000
Training Epoch: 27 [8704/47500]	Loss: 0.3687	LR: 0.020000
Training Epoch: 27 [8960/47500]	Loss: 0.3087	LR: 0.020000
Training Epoch: 27 [9216/47500]	Loss: 0.4211	LR: 0.020000
Training Epoch: 27 [9472/47500]	Loss: 0.3993	LR: 0.020000
Training Epoch: 27 [9728/47500]	Loss: 0.4287	LR: 0.020000
Training Epoch: 27 [9984/47500]	Loss: 0.3533	LR: 0.020000
Training Epoch: 27 [10240/47500]	Loss: 0.3171	LR: 0.020000
Training Epoch: 27 [10496/47500]	Loss: 0.3204	LR: 0.020000
Training Epoch: 27 [10752/47500]	Loss: 0.3341	LR: 0.020000
Training Epoch: 27 [11008/47500]	Loss: 0.4081	LR: 0.020000
Training Epoch: 27 [11264/47500]	Loss: 0.4750	LR: 0.020000
Training Epoch: 27 [11520/47500]	Loss: 0.4251	LR: 0.020000
Training Epoch: 27 [11776/47500]	Loss: 0.4335	LR: 0.020000
Training Epoch: 27 [12032/47500]	Loss: 0.4722	LR: 0.020000
Training Epoch: 27 [12288/47500]	Loss: 0.3530	LR: 0.020000
Training Epoch: 27 [12544/47500]	Loss: 0.3265	LR: 0.020000
Training Epoch: 27 [12800/47500]	Loss: 0.3246	LR: 0.020000
Training Epoch: 27 [13056/47500]	Loss: 0.4023	LR: 0.020000
Training Epoch: 27 [13312/47500]	Loss: 0.3420	LR: 0.020000
Training Epoch: 27 [13568/47500]	Loss: 0.3609	LR: 0.020000
Training Epoch: 27 [13824/47500]	Loss: 0.3113	LR: 0.020000
Training Epoch: 27 [14080/47500]	Loss: 0.3153	LR: 0.020000
Training Epoch: 27 [14336/47500]	Loss: 0.3809	LR: 0.020000
Training Epoch: 27 [14592/47500]	Loss: 0.2779	LR: 0.020000
Training Epoch: 27 [14848/47500]	Loss: 0.3106	LR: 0.020000
Training Epoch: 27 [15104/47500]	Loss: 0.3014	LR: 0.020000
Training Epoch: 27 [15360/47500]	Loss: 0.2807	LR: 0.020000
Training Epoch: 27 [15616/47500]	Loss: 0.3292	LR: 0.020000
Training Epoch: 27 [15872/47500]	Loss: 0.4272	LR: 0.020000
Training Epoch: 27 [16128/47500]	Loss: 0.3509	LR: 0.020000
Training Epoch: 27 [16384/47500]	Loss: 0.2413	LR: 0.020000
Training Epoch: 27 [16640/47500]	Loss: 0.3719	LR: 0.020000
Training Epoch: 27 [16896/47500]	Loss: 0.4254	LR: 0.020000
Training Epoch: 27 [17152/47500]	Loss: 0.2762	LR: 0.020000
Training Epoch: 27 [17408/47500]	Loss: 0.3705	LR: 0.020000
Training Epoch: 27 [17664/47500]	Loss: 0.3073	LR: 0.020000
Training Epoch: 27 [17920/47500]	Loss: 0.3914	LR: 0.020000
Training Epoch: 27 [18176/47500]	Loss: 0.3117	LR: 0.020000
Training Epoch: 27 [18432/47500]	Loss: 0.3652	LR: 0.020000
Training Epoch: 27 [18688/47500]	Loss: 0.2757	LR: 0.020000
Training Epoch: 27 [18944/47500]	Loss: 0.3499	LR: 0.020000
Training Epoch: 27 [19200/47500]	Loss: 0.3911	LR: 0.020000
Training Epoch: 27 [19456/47500]	Loss: 0.4022	LR: 0.020000
Training Epoch: 27 [19712/47500]	Loss: 0.3974	LR: 0.020000
Training Epoch: 27 [19968/47500]	Loss: 0.3782	LR: 0.020000
Training Epoch: 27 [20224/47500]	Loss: 0.4508	LR: 0.020000
Training Epoch: 27 [20480/47500]	Loss: 0.3714	LR: 0.020000
Training Epoch: 27 [20736/47500]	Loss: 0.3111	LR: 0.020000
Training Epoch: 27 [20992/47500]	Loss: 0.3172	LR: 0.020000
Training Epoch: 27 [21248/47500]	Loss: 0.3692	LR: 0.020000
Training Epoch: 27 [21504/47500]	Loss: 0.3039	LR: 0.020000
Training Epoch: 27 [21760/47500]	Loss: 0.3359	LR: 0.020000
Training Epoch: 27 [22016/47500]	Loss: 0.4126	LR: 0.020000
Training Epoch: 27 [22272/47500]	Loss: 0.3768	LR: 0.020000
Training Epoch: 27 [22528/47500]	Loss: 0.3915	LR: 0.020000
Training Epoch: 27 [22784/47500]	Loss: 0.3770	LR: 0.020000
Training Epoch: 27 [23040/47500]	Loss: 0.3337	LR: 0.020000
Training Epoch: 27 [23296/47500]	Loss: 0.3545	LR: 0.020000
Training Epoch: 27 [23552/47500]	Loss: 0.3180	LR: 0.020000
Training Epoch: 27 [23808/47500]	Loss: 0.3715	LR: 0.020000
Training Epoch: 27 [24064/47500]	Loss: 0.3340	LR: 0.020000
Training Epoch: 27 [24320/47500]	Loss: 0.3373	LR: 0.020000
Training Epoch: 27 [24576/47500]	Loss: 0.3913	LR: 0.020000
Training Epoch: 27 [24832/47500]	Loss: 0.3279	LR: 0.020000
Training Epoch: 27 [25088/47500]	Loss: 0.3266	LR: 0.020000
Training Epoch: 27 [25344/47500]	Loss: 0.4558	LR: 0.020000
Training Epoch: 27 [25600/47500]	Loss: 0.3711	LR: 0.020000
Training Epoch: 27 [25856/47500]	Loss: 0.2882	LR: 0.020000
Training Epoch: 27 [26112/47500]	Loss: 0.4086	LR: 0.020000
Training Epoch: 27 [26368/47500]	Loss: 0.2845	LR: 0.020000
Training Epoch: 27 [26624/47500]	Loss: 0.4343	LR: 0.020000
Training Epoch: 27 [26880/47500]	Loss: 0.3506	LR: 0.020000
Training Epoch: 27 [27136/47500]	Loss: 0.2953	LR: 0.020000
Training Epoch: 27 [27392/47500]	Loss: 0.4212	LR: 0.020000
Training Epoch: 27 [27648/47500]	Loss: 0.3422	LR: 0.020000
Training Epoch: 27 [27904/47500]	Loss: 0.2947	LR: 0.020000
Training Epoch: 27 [28160/47500]	Loss: 0.4410	LR: 0.020000
Training Epoch: 27 [28416/47500]	Loss: 0.3337	LR: 0.020000
Training Epoch: 27 [28672/47500]	Loss: 0.4126	LR: 0.020000
Training Epoch: 27 [28928/47500]	Loss: 0.4480	LR: 0.020000
Training Epoch: 27 [29184/47500]	Loss: 0.3396	LR: 0.020000
Training Epoch: 27 [29440/47500]	Loss: 0.3160	LR: 0.020000
Training Epoch: 27 [29696/47500]	Loss: 0.4391	LR: 0.020000
Training Epoch: 27 [29952/47500]	Loss: 0.3564	LR: 0.020000
Training Epoch: 27 [30208/47500]	Loss: 0.3651	LR: 0.020000
Training Epoch: 27 [30464/47500]	Loss: 0.4080	LR: 0.020000
Training Epoch: 27 [30720/47500]	Loss: 0.3806	LR: 0.020000
Training Epoch: 27 [30976/47500]	Loss: 0.3003	LR: 0.020000
Training Epoch: 27 [31232/47500]	Loss: 0.3606	LR: 0.020000
Training Epoch: 27 [31488/47500]	Loss: 0.3045	LR: 0.020000
Training Epoch: 27 [31744/47500]	Loss: 0.3412	LR: 0.020000
Training Epoch: 27 [32000/47500]	Loss: 0.4551	LR: 0.020000
Training Epoch: 27 [32256/47500]	Loss: 0.3664	LR: 0.020000
Training Epoch: 27 [32512/47500]	Loss: 0.4091	LR: 0.020000
Training Epoch: 27 [32768/47500]	Loss: 0.3018	LR: 0.020000
Training Epoch: 27 [33024/47500]	Loss: 0.4331	LR: 0.020000
Training Epoch: 27 [33280/47500]	Loss: 0.4299	LR: 0.020000
Training Epoch: 27 [33536/47500]	Loss: 0.2734	LR: 0.020000
Training Epoch: 27 [33792/47500]	Loss: 0.4556	LR: 0.020000
Training Epoch: 27 [34048/47500]	Loss: 0.3236	LR: 0.020000
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Training Epoch: 27 [34560/47500]	Loss: 0.2762	LR: 0.020000
Training Epoch: 27 [34816/47500]	Loss: 0.3146	LR: 0.020000
Training Epoch: 27 [35072/47500]	Loss: 0.4124	LR: 0.020000
Training Epoch: 27 [35328/47500]	Loss: 0.4008	LR: 0.020000
Training Epoch: 27 [35584/47500]	Loss: 0.3263	LR: 0.020000
Training Epoch: 27 [35840/47500]	Loss: 0.4638	LR: 0.020000
Training Epoch: 27 [36096/47500]	Loss: 0.3003	LR: 0.020000
Training Epoch: 27 [36352/47500]	Loss: 0.4750	LR: 0.020000
Training Epoch: 27 [36608/47500]	Loss: 0.3228	LR: 0.020000
Training Epoch: 27 [36864/47500]	Loss: 0.3175	LR: 0.020000
Training Epoch: 27 [37120/47500]	Loss: 0.3672	LR: 0.020000
Training Epoch: 27 [37376/47500]	Loss: 0.2415	LR: 0.020000
Training Epoch: 27 [37632/47500]	Loss: 0.3428	LR: 0.020000
Training Epoch: 27 [37888/47500]	Loss: 0.4886	LR: 0.020000
Training Epoch: 27 [38144/47500]	Loss: 0.4566	LR: 0.020000
Training Epoch: 27 [38400/47500]	Loss: 0.4784	LR: 0.020000
Training Epoch: 27 [38656/47500]	Loss: 0.3335	LR: 0.020000
Training Epoch: 27 [38912/47500]	Loss: 0.3414	LR: 0.020000
Training Epoch: 27 [39168/47500]	Loss: 0.4698	LR: 0.020000
Training Epoch: 27 [39424/47500]	Loss: 0.3003	LR: 0.020000
Training Epoch: 27 [39680/47500]	Loss: 0.3472	LR: 0.020000
Training Epoch: 27 [39936/47500]	Loss: 0.4027	LR: 0.020000
Training Epoch: 27 [40192/47500]	Loss: 0.3085	LR: 0.020000
Training Epoch: 27 [40448/47500]	Loss: 0.3299	LR: 0.020000
Training Epoch: 27 [40704/47500]	Loss: 0.4114	LR: 0.020000
Training Epoch: 27 [40960/47500]	Loss: 0.5302	LR: 0.020000
Training Epoch: 27 [41216/47500]	Loss: 0.4657	LR: 0.020000
Training Epoch: 27 [41472/47500]	Loss: 0.4180	LR: 0.020000
Training Epoch: 27 [41728/47500]	Loss: 0.3736	LR: 0.020000
Training Epoch: 27 [41984/47500]	Loss: 0.3963	LR: 0.020000
Training Epoch: 27 [42240/47500]	Loss: 0.4261	LR: 0.020000
Training Epoch: 27 [42496/47500]	Loss: 0.2916	LR: 0.020000
Training Epoch: 27 [42752/47500]	Loss: 0.2687	LR: 0.020000
Training Epoch: 27 [43008/47500]	Loss: 0.3018	LR: 0.020000
Training Epoch: 27 [43264/47500]	Loss: 0.3501	LR: 0.020000
Training Epoch: 27 [43520/47500]	Loss: 0.4457	LR: 0.020000
Training Epoch: 27 [43776/47500]	Loss: 0.4360	LR: 0.020000
Training Epoch: 27 [44032/47500]	Loss: 0.4146	LR: 0.020000
Training Epoch: 27 [44288/47500]	Loss: 0.4630	LR: 0.020000
Training Epoch: 27 [44544/47500]	Loss: 0.3974	LR: 0.020000
Training Epoch: 27 [44800/47500]	Loss: 0.3429	LR: 0.020000
Training Epoch: 27 [45056/47500]	Loss: 0.3578	LR: 0.020000
Training Epoch: 27 [45312/47500]	Loss: 0.3704	LR: 0.020000
Training Epoch: 27 [45568/47500]	Loss: 0.4983	LR: 0.020000
Training Epoch: 27 [45824/47500]	Loss: 0.4586	LR: 0.020000
Training Epoch: 27 [46080/47500]	Loss: 0.3925	LR: 0.020000
Training Epoch: 27 [46336/47500]	Loss: 0.3429	LR: 0.020000
Training Epoch: 27 [46592/47500]	Loss: 0.4210	LR: 0.020000
Training Epoch: 27 [46848/47500]	Loss: 0.3461	LR: 0.020000
Training Epoch: 27 [47104/47500]	Loss: 0.3667	LR: 0.020000
Training Epoch: 27 [47360/47500]	Loss: 0.3820	LR: 0.020000
Training Epoch: 27 [47500/47500]	Loss: 0.5340	LR: 0.020000
Epoch 27 - Average Train Loss: 0.3638, Train Accuracy: 0.8781
Epoch 27 training time consumed: 28.38s
Evaluating Network.....
Test set: Epoch: 27, Average loss: 0.0034, Accuracy: 0.7596, Time consumed:0.88s
Training Epoch: 28 [256/47500]	Loss: 0.3113	LR: 0.020000
Training Epoch: 28 [512/47500]	Loss: 0.3036	LR: 0.020000
Training Epoch: 28 [768/47500]	Loss: 0.2799	LR: 0.020000
Training Epoch: 28 [1024/47500]	Loss: 0.2336	LR: 0.020000
Training Epoch: 28 [1280/47500]	Loss: 0.4681	LR: 0.020000
Training Epoch: 28 [1536/47500]	Loss: 0.3303	LR: 0.020000
Training Epoch: 28 [1792/47500]	Loss: 0.3666	LR: 0.020000
Training Epoch: 28 [2048/47500]	Loss: 0.2894	LR: 0.020000
Training Epoch: 28 [2304/47500]	Loss: 0.2517	LR: 0.020000
Training Epoch: 28 [2560/47500]	Loss: 0.3016	LR: 0.020000
Training Epoch: 28 [2816/47500]	Loss: 0.3655	LR: 0.020000
Training Epoch: 28 [3072/47500]	Loss: 0.3033	LR: 0.020000
Training Epoch: 28 [3328/47500]	Loss: 0.3021	LR: 0.020000
Training Epoch: 28 [3584/47500]	Loss: 0.3194	LR: 0.020000
Training Epoch: 28 [3840/47500]	Loss: 0.2947	LR: 0.020000
Training Epoch: 28 [4096/47500]	Loss: 0.3376	LR: 0.020000
Training Epoch: 28 [4352/47500]	Loss: 0.4830	LR: 0.020000
Training Epoch: 28 [4608/47500]	Loss: 0.3735	LR: 0.020000
Training Epoch: 28 [4864/47500]	Loss: 0.2720	LR: 0.020000
Training Epoch: 28 [5120/47500]	Loss: 0.3591	LR: 0.020000
Training Epoch: 28 [5376/47500]	Loss: 0.4338	LR: 0.020000
Training Epoch: 28 [5632/47500]	Loss: 0.3547	LR: 0.020000
Training Epoch: 28 [5888/47500]	Loss: 0.4156	LR: 0.020000
Training Epoch: 28 [6144/47500]	Loss: 0.3944	LR: 0.020000
Training Epoch: 28 [6400/47500]	Loss: 0.2993	LR: 0.020000
Training Epoch: 28 [6656/47500]	Loss: 0.3431	LR: 0.020000
Training Epoch: 28 [6912/47500]	Loss: 0.3079	LR: 0.020000
Training Epoch: 28 [7168/47500]	Loss: 0.3798	LR: 0.020000
Training Epoch: 28 [7424/47500]	Loss: 0.2921	LR: 0.020000
Training Epoch: 28 [7680/47500]	Loss: 0.3336	LR: 0.020000
Training Epoch: 28 [7936/47500]	Loss: 0.3482	LR: 0.020000
Training Epoch: 28 [8192/47500]	Loss: 0.3939	LR: 0.020000
Training Epoch: 28 [8448/47500]	Loss: 0.2947	LR: 0.020000
Training Epoch: 28 [8704/47500]	Loss: 0.3747	LR: 0.020000
Training Epoch: 28 [8960/47500]	Loss: 0.3242	LR: 0.020000
Training Epoch: 28 [9216/47500]	Loss: 0.3260	LR: 0.020000
Training Epoch: 28 [9472/47500]	Loss: 0.3513	LR: 0.020000
Training Epoch: 28 [9728/47500]	Loss: 0.2907	LR: 0.020000
Training Epoch: 28 [9984/47500]	Loss: 0.3075	LR: 0.020000
Training Epoch: 28 [10240/47500]	Loss: 0.3757	LR: 0.020000
Training Epoch: 28 [10496/47500]	Loss: 0.3009	LR: 0.020000
Training Epoch: 28 [10752/47500]	Loss: 0.3567	LR: 0.020000
Training Epoch: 28 [11008/47500]	Loss: 0.3299	LR: 0.020000
Training Epoch: 28 [11264/47500]	Loss: 0.2940	LR: 0.020000
Training Epoch: 28 [11520/47500]	Loss: 0.3950	LR: 0.020000
Training Epoch: 28 [11776/47500]	Loss: 0.2644	LR: 0.020000
Training Epoch: 28 [12032/47500]	Loss: 0.3106	LR: 0.020000
Training Epoch: 28 [12288/47500]	Loss: 0.4382	LR: 0.020000
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Training Epoch: 28 [13056/47500]	Loss: 0.3393	LR: 0.020000
Training Epoch: 28 [13312/47500]	Loss: 0.3138	LR: 0.020000
Training Epoch: 28 [13568/47500]	Loss: 0.2805	LR: 0.020000
Training Epoch: 28 [13824/47500]	Loss: 0.3492	LR: 0.020000
Training Epoch: 28 [14080/47500]	Loss: 0.3500	LR: 0.020000
Training Epoch: 28 [14336/47500]	Loss: 0.3321	LR: 0.020000
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Training Epoch: 28 [15104/47500]	Loss: 0.3114	LR: 0.020000
Training Epoch: 28 [15360/47500]	Loss: 0.3055	LR: 0.020000
Training Epoch: 28 [15616/47500]	Loss: 0.3459	LR: 0.020000
Training Epoch: 28 [15872/47500]	Loss: 0.3562	LR: 0.020000
Training Epoch: 28 [16128/47500]	Loss: 0.3312	LR: 0.020000
Training Epoch: 28 [16384/47500]	Loss: 0.3707	LR: 0.020000
Training Epoch: 28 [16640/47500]	Loss: 0.3295	LR: 0.020000
Training Epoch: 28 [16896/47500]	Loss: 0.3196	LR: 0.020000
Training Epoch: 28 [17152/47500]	Loss: 0.3223	LR: 0.020000
Training Epoch: 28 [17408/47500]	Loss: 0.3089	LR: 0.020000
Training Epoch: 28 [17664/47500]	Loss: 0.3125	LR: 0.020000
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Training Epoch: 28 [18176/47500]	Loss: 0.3101	LR: 0.020000
Training Epoch: 28 [18432/47500]	Loss: 0.2700	LR: 0.020000
Training Epoch: 28 [18688/47500]	Loss: 0.3672	LR: 0.020000
Training Epoch: 28 [18944/47500]	Loss: 0.3726	LR: 0.020000
Training Epoch: 28 [19200/47500]	Loss: 0.3385	LR: 0.020000
Training Epoch: 28 [19456/47500]	Loss: 0.2890	LR: 0.020000
Training Epoch: 28 [19712/47500]	Loss: 0.3653	LR: 0.020000
Training Epoch: 28 [19968/47500]	Loss: 0.3690	LR: 0.020000
Training Epoch: 28 [20224/47500]	Loss: 0.3148	LR: 0.020000
Training Epoch: 28 [20480/47500]	Loss: 0.3945	LR: 0.020000
Training Epoch: 28 [20736/47500]	Loss: 0.3374	LR: 0.020000
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Training Epoch: 28 [21504/47500]	Loss: 0.3236	LR: 0.020000
Training Epoch: 28 [21760/47500]	Loss: 0.3579	LR: 0.020000
Training Epoch: 28 [22016/47500]	Loss: 0.3245	LR: 0.020000
Training Epoch: 28 [22272/47500]	Loss: 0.3659	LR: 0.020000
Training Epoch: 28 [22528/47500]	Loss: 0.3147	LR: 0.020000
Training Epoch: 28 [22784/47500]	Loss: 0.3924	LR: 0.020000
Training Epoch: 28 [23040/47500]	Loss: 0.4350	LR: 0.020000
Training Epoch: 28 [23296/47500]	Loss: 0.3447	LR: 0.020000
Training Epoch: 28 [23552/47500]	Loss: 0.3757	LR: 0.020000
Training Epoch: 28 [23808/47500]	Loss: 0.2961	LR: 0.020000
Training Epoch: 28 [24064/47500]	Loss: 0.2844	LR: 0.020000
Training Epoch: 28 [24320/47500]	Loss: 0.3492	LR: 0.020000
Training Epoch: 28 [24576/47500]	Loss: 0.2962	LR: 0.020000
Training Epoch: 28 [24832/47500]	Loss: 0.3813	LR: 0.020000
Training Epoch: 28 [25088/47500]	Loss: 0.4019	LR: 0.020000
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Training Epoch: 28 [25600/47500]	Loss: 0.4483	LR: 0.020000
Training Epoch: 28 [25856/47500]	Loss: 0.4288	LR: 0.020000
Training Epoch: 28 [26112/47500]	Loss: 0.2634	LR: 0.020000
Training Epoch: 28 [26368/47500]	Loss: 0.4038	LR: 0.020000
Training Epoch: 28 [26624/47500]	Loss: 0.3516	LR: 0.020000
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Training Epoch: 28 [27136/47500]	Loss: 0.4353	LR: 0.020000
Training Epoch: 28 [27392/47500]	Loss: 0.4462	LR: 0.020000
Training Epoch: 28 [27648/47500]	Loss: 0.4001	LR: 0.020000
Training Epoch: 28 [27904/47500]	Loss: 0.3361	LR: 0.020000
Training Epoch: 28 [28160/47500]	Loss: 0.4007	LR: 0.020000
Training Epoch: 28 [28416/47500]	Loss: 0.3809	LR: 0.020000
Training Epoch: 28 [28672/47500]	Loss: 0.4146	LR: 0.020000
Training Epoch: 28 [28928/47500]	Loss: 0.3286	LR: 0.020000
Training Epoch: 28 [29184/47500]	Loss: 0.4213	LR: 0.020000
Training Epoch: 28 [29440/47500]	Loss: 0.2809	LR: 0.020000
Training Epoch: 28 [29696/47500]	Loss: 0.3583	LR: 0.020000
Training Epoch: 28 [29952/47500]	Loss: 0.4213	LR: 0.020000
Training Epoch: 28 [30208/47500]	Loss: 0.3885	LR: 0.020000
Training Epoch: 28 [30464/47500]	Loss: 0.3465	LR: 0.020000
Training Epoch: 28 [30720/47500]	Loss: 0.3670	LR: 0.020000
Training Epoch: 28 [30976/47500]	Loss: 0.4125	LR: 0.020000
Training Epoch: 28 [31232/47500]	Loss: 0.4403	LR: 0.020000
Training Epoch: 28 [31488/47500]	Loss: 0.3794	LR: 0.020000
Training Epoch: 28 [31744/47500]	Loss: 0.3031	LR: 0.020000
Training Epoch: 28 [32000/47500]	Loss: 0.4400	LR: 0.020000
Training Epoch: 28 [32256/47500]	Loss: 0.5183	LR: 0.020000
Training Epoch: 28 [32512/47500]	Loss: 0.3547	LR: 0.020000
Training Epoch: 28 [32768/47500]	Loss: 0.3632	LR: 0.020000
Training Epoch: 28 [33024/47500]	Loss: 0.4280	LR: 0.020000
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Training Epoch: 28 [34816/47500]	Loss: 0.3734	LR: 0.020000
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Training Epoch: 28 [35328/47500]	Loss: 0.4314	LR: 0.020000
Training Epoch: 28 [35584/47500]	Loss: 0.3037	LR: 0.020000
Training Epoch: 28 [35840/47500]	Loss: 0.3839	LR: 0.020000
Training Epoch: 28 [36096/47500]	Loss: 0.3858	LR: 0.020000
Training Epoch: 28 [36352/47500]	Loss: 0.3237	LR: 0.020000
Training Epoch: 28 [36608/47500]	Loss: 0.3248	LR: 0.020000
Training Epoch: 28 [36864/47500]	Loss: 0.4152	LR: 0.020000
Training Epoch: 28 [37120/47500]	Loss: 0.4157	LR: 0.020000
Training Epoch: 28 [37376/47500]	Loss: 0.3264	LR: 0.020000
Training Epoch: 28 [37632/47500]	Loss: 0.4380	LR: 0.020000
Training Epoch: 28 [37888/47500]	Loss: 0.4118	LR: 0.020000
Training Epoch: 28 [38144/47500]	Loss: 0.3964	LR: 0.020000
Training Epoch: 28 [38400/47500]	Loss: 0.3905	LR: 0.020000
Training Epoch: 28 [38656/47500]	Loss: 0.3254	LR: 0.020000
Training Epoch: 28 [38912/47500]	Loss: 0.3735	LR: 0.020000
Training Epoch: 28 [39168/47500]	Loss: 0.3258	LR: 0.020000
Training Epoch: 28 [39424/47500]	Loss: 0.4871	LR: 0.020000
Training Epoch: 28 [39680/47500]	Loss: 0.4944	LR: 0.020000
Training Epoch: 28 [39936/47500]	Loss: 0.4633	LR: 0.020000
Training Epoch: 28 [40192/47500]	Loss: 0.4638	LR: 0.020000
Training Epoch: 28 [40448/47500]	Loss: 0.3944	LR: 0.020000
Training Epoch: 28 [40704/47500]	Loss: 0.5237	LR: 0.020000
Training Epoch: 28 [40960/47500]	Loss: 0.3767	LR: 0.020000
Training Epoch: 28 [41216/47500]	Loss: 0.4161	LR: 0.020000
Training Epoch: 28 [41472/47500]	Loss: 0.3192	LR: 0.020000
Training Epoch: 28 [41728/47500]	Loss: 0.3666	LR: 0.020000
Training Epoch: 28 [41984/47500]	Loss: 0.3929	LR: 0.020000
Training Epoch: 28 [42240/47500]	Loss: 0.3397	LR: 0.020000
Training Epoch: 28 [42496/47500]	Loss: 0.3397	LR: 0.020000
Training Epoch: 28 [42752/47500]	Loss: 0.3819	LR: 0.020000
Training Epoch: 28 [43008/47500]	Loss: 0.3418	LR: 0.020000
Training Epoch: 28 [43264/47500]	Loss: 0.3271	LR: 0.020000
Training Epoch: 28 [43520/47500]	Loss: 0.3638	LR: 0.020000
Training Epoch: 28 [43776/47500]	Loss: 0.3021	LR: 0.020000
Training Epoch: 28 [44032/47500]	Loss: 0.3460	LR: 0.020000
Training Epoch: 28 [44288/47500]	Loss: 0.3531	LR: 0.020000
Training Epoch: 28 [44544/47500]	Loss: 0.3293	LR: 0.020000
Training Epoch: 28 [44800/47500]	Loss: 0.3783	LR: 0.020000
Training Epoch: 28 [45056/47500]	Loss: 0.4047	LR: 0.020000
Training Epoch: 28 [45312/47500]	Loss: 0.4004	LR: 0.020000
Training Epoch: 28 [45568/47500]	Loss: 0.3598	LR: 0.020000
Training Epoch: 28 [45824/47500]	Loss: 0.3681	LR: 0.020000
Training Epoch: 28 [46080/47500]	Loss: 0.3472	LR: 0.020000
Training Epoch: 28 [46336/47500]	Loss: 0.4076	LR: 0.020000
Training Epoch: 28 [46592/47500]	Loss: 0.3811	LR: 0.020000
Training Epoch: 28 [46848/47500]	Loss: 0.3302	LR: 0.020000
Training Epoch: 28 [47104/47500]	Loss: 0.3235	LR: 0.020000
Training Epoch: 28 [47360/47500]	Loss: 0.3076	LR: 0.020000
Training Epoch: 28 [47500/47500]	Loss: 0.3707	LR: 0.020000
Epoch 28 - Average Train Loss: 0.3579, Train Accuracy: 0.8789
Epoch 28 training time consumed: 28.33s
Evaluating Network.....
Test set: Epoch: 28, Average loss: 0.0033, Accuracy: 0.7622, Time consumed:0.88s
Training Epoch: 29 [256/47500]	Loss: 0.2795	LR: 0.020000
Training Epoch: 29 [512/47500]	Loss: 0.3431	LR: 0.020000
Training Epoch: 29 [768/47500]	Loss: 0.3530	LR: 0.020000
Training Epoch: 29 [1024/47500]	Loss: 0.2683	LR: 0.020000
Training Epoch: 29 [1280/47500]	Loss: 0.3091	LR: 0.020000
Training Epoch: 29 [1536/47500]	Loss: 0.2458	LR: 0.020000
Training Epoch: 29 [1792/47500]	Loss: 0.2737	LR: 0.020000
Training Epoch: 29 [2048/47500]	Loss: 0.3033	LR: 0.020000
Training Epoch: 29 [2304/47500]	Loss: 0.3247	LR: 0.020000
Training Epoch: 29 [2560/47500]	Loss: 0.2609	LR: 0.020000
Training Epoch: 29 [2816/47500]	Loss: 0.3022	LR: 0.020000
Training Epoch: 29 [3072/47500]	Loss: 0.3412	LR: 0.020000
Training Epoch: 29 [3328/47500]	Loss: 0.2970	LR: 0.020000
Training Epoch: 29 [3584/47500]	Loss: 0.3063	LR: 0.020000
Training Epoch: 29 [3840/47500]	Loss: 0.2956	LR: 0.020000
Training Epoch: 29 [4096/47500]	Loss: 0.3422	LR: 0.020000
Training Epoch: 29 [4352/47500]	Loss: 0.3018	LR: 0.020000
Training Epoch: 29 [4608/47500]	Loss: 0.3323	LR: 0.020000
Training Epoch: 29 [4864/47500]	Loss: 0.2948	LR: 0.020000
Training Epoch: 29 [5120/47500]	Loss: 0.3182	LR: 0.020000
Training Epoch: 29 [5376/47500]	Loss: 0.3198	LR: 0.020000
Training Epoch: 29 [5632/47500]	Loss: 0.2914	LR: 0.020000
Training Epoch: 29 [5888/47500]	Loss: 0.3028	LR: 0.020000
Training Epoch: 29 [6144/47500]	Loss: 0.2862	LR: 0.020000
Training Epoch: 29 [6400/47500]	Loss: 0.3133	LR: 0.020000
Training Epoch: 29 [6656/47500]	Loss: 0.3252	LR: 0.020000
Training Epoch: 29 [6912/47500]	Loss: 0.3351	LR: 0.020000
Training Epoch: 29 [7168/47500]	Loss: 0.3100	LR: 0.020000
Training Epoch: 29 [7424/47500]	Loss: 0.2619	LR: 0.020000
Training Epoch: 29 [7680/47500]	Loss: 0.3270	LR: 0.020000
Training Epoch: 29 [7936/47500]	Loss: 0.2979	LR: 0.020000
Training Epoch: 29 [8192/47500]	Loss: 0.2339	LR: 0.020000
Training Epoch: 29 [8448/47500]	Loss: 0.3512	LR: 0.020000
Training Epoch: 29 [8704/47500]	Loss: 0.2786	LR: 0.020000
Training Epoch: 29 [8960/47500]	Loss: 0.2831	LR: 0.020000
Training Epoch: 29 [9216/47500]	Loss: 0.3421	LR: 0.020000
Training Epoch: 29 [9472/47500]	Loss: 0.4540	LR: 0.020000
Training Epoch: 29 [9728/47500]	Loss: 0.2785	LR: 0.020000
Training Epoch: 29 [9984/47500]	Loss: 0.3322	LR: 0.020000
Training Epoch: 29 [10240/47500]	Loss: 0.2921	LR: 0.020000
Training Epoch: 29 [10496/47500]	Loss: 0.3396	LR: 0.020000
Training Epoch: 29 [10752/47500]	Loss: 0.2994	LR: 0.020000
Training Epoch: 29 [11008/47500]	Loss: 0.3085	LR: 0.020000
Training Epoch: 29 [11264/47500]	Loss: 0.2309	LR: 0.020000
Training Epoch: 29 [11520/47500]	Loss: 0.3896	LR: 0.020000
Training Epoch: 29 [11776/47500]	Loss: 0.2402	LR: 0.020000
Training Epoch: 29 [12032/47500]	Loss: 0.2690	LR: 0.020000
Training Epoch: 29 [12288/47500]	Loss: 0.3337	LR: 0.020000
Training Epoch: 29 [12544/47500]	Loss: 0.3217	LR: 0.020000
Training Epoch: 29 [12800/47500]	Loss: 0.4653	LR: 0.020000
Training Epoch: 29 [13056/47500]	Loss: 0.2959	LR: 0.020000
Training Epoch: 29 [13312/47500]	Loss: 0.3745	LR: 0.020000
Training Epoch: 29 [13568/47500]	Loss: 0.3244	LR: 0.020000
Training Epoch: 29 [13824/47500]	Loss: 0.3468	LR: 0.020000
Training Epoch: 29 [14080/47500]	Loss: 0.3796	LR: 0.020000
Training Epoch: 29 [14336/47500]	Loss: 0.2616	LR: 0.020000
Training Epoch: 29 [14592/47500]	Loss: 0.2731	LR: 0.020000
Training Epoch: 29 [14848/47500]	Loss: 0.3115	LR: 0.020000
Training Epoch: 29 [15104/47500]	Loss: 0.2685	LR: 0.020000
Training Epoch: 29 [15360/47500]	Loss: 0.3471	LR: 0.020000
Training Epoch: 29 [15616/47500]	Loss: 0.3084	LR: 0.020000
Training Epoch: 29 [15872/47500]	Loss: 0.3404	LR: 0.020000
Training Epoch: 29 [16128/47500]	Loss: 0.3148	LR: 0.020000
Training Epoch: 29 [16384/47500]	Loss: 0.3029	LR: 0.020000
Training Epoch: 29 [16640/47500]	Loss: 0.3595	LR: 0.020000
Training Epoch: 29 [16896/47500]	Loss: 0.4003	LR: 0.020000
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Training Epoch: 29 [17408/47500]	Loss: 0.2700	LR: 0.020000
Training Epoch: 29 [17664/47500]	Loss: 0.3226	LR: 0.020000
Training Epoch: 29 [17920/47500]	Loss: 0.3373	LR: 0.020000
Training Epoch: 29 [18176/47500]	Loss: 0.2906	LR: 0.020000
Training Epoch: 29 [18432/47500]	Loss: 0.2868	LR: 0.020000
Training Epoch: 29 [18688/47500]	Loss: 0.3376	LR: 0.020000
Training Epoch: 29 [18944/47500]	Loss: 0.3841	LR: 0.020000
Training Epoch: 29 [19200/47500]	Loss: 0.3400	LR: 0.020000
Training Epoch: 29 [19456/47500]	Loss: 0.4320	LR: 0.020000
Training Epoch: 29 [19712/47500]	Loss: 0.3531	LR: 0.020000
Training Epoch: 29 [19968/47500]	Loss: 0.3407	LR: 0.020000
Training Epoch: 29 [20224/47500]	Loss: 0.3264	LR: 0.020000
Training Epoch: 29 [20480/47500]	Loss: 0.3309	LR: 0.020000
Training Epoch: 29 [20736/47500]	Loss: 0.3273	LR: 0.020000
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Training Epoch: 29 [21760/47500]	Loss: 0.3456	LR: 0.020000
Training Epoch: 29 [22016/47500]	Loss: 0.3877	LR: 0.020000
Training Epoch: 29 [22272/47500]	Loss: 0.3832	LR: 0.020000
Training Epoch: 29 [22528/47500]	Loss: 0.3053	LR: 0.020000
Training Epoch: 29 [22784/47500]	Loss: 0.3590	LR: 0.020000
Training Epoch: 29 [23040/47500]	Loss: 0.3190	LR: 0.020000
Training Epoch: 29 [23296/47500]	Loss: 0.4513	LR: 0.020000
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Training Epoch: 29 [24832/47500]	Loss: 0.3783	LR: 0.020000
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Training Epoch: 29 [25344/47500]	Loss: 0.2887	LR: 0.020000
Training Epoch: 29 [25600/47500]	Loss: 0.3823	LR: 0.020000
Training Epoch: 29 [25856/47500]	Loss: 0.3103	LR: 0.020000
Training Epoch: 29 [26112/47500]	Loss: 0.4077	LR: 0.020000
Training Epoch: 29 [26368/47500]	Loss: 0.2976	LR: 0.020000
Training Epoch: 29 [26624/47500]	Loss: 0.3303	LR: 0.020000
Training Epoch: 29 [26880/47500]	Loss: 0.3229	LR: 0.020000
Training Epoch: 29 [27136/47500]	Loss: 0.3023	LR: 0.020000
Training Epoch: 29 [27392/47500]	Loss: 0.3534	LR: 0.020000
Training Epoch: 29 [27648/47500]	Loss: 0.3670	LR: 0.020000
Training Epoch: 29 [27904/47500]	Loss: 0.3267	LR: 0.020000
Training Epoch: 29 [28160/47500]	Loss: 0.3539	LR: 0.020000
Training Epoch: 29 [28416/47500]	Loss: 0.2912	LR: 0.020000
Training Epoch: 29 [28672/47500]	Loss: 0.3889	LR: 0.020000
Training Epoch: 29 [28928/47500]	Loss: 0.4459	LR: 0.020000
Training Epoch: 29 [29184/47500]	Loss: 0.4321	LR: 0.020000
Training Epoch: 29 [29440/47500]	Loss: 0.3079	LR: 0.020000
Training Epoch: 29 [29696/47500]	Loss: 0.3054	LR: 0.020000
Training Epoch: 29 [29952/47500]	Loss: 0.3728	LR: 0.020000
Training Epoch: 29 [30208/47500]	Loss: 0.4078	LR: 0.020000
Training Epoch: 29 [30464/47500]	Loss: 0.3373	LR: 0.020000
Training Epoch: 29 [30720/47500]	Loss: 0.3429	LR: 0.020000
Training Epoch: 29 [30976/47500]	Loss: 0.2742	LR: 0.020000
Training Epoch: 29 [31232/47500]	Loss: 0.2665	LR: 0.020000
Training Epoch: 29 [31488/47500]	Loss: 0.3957	LR: 0.020000
Training Epoch: 29 [31744/47500]	Loss: 0.3471	LR: 0.020000
Training Epoch: 29 [32000/47500]	Loss: 0.4636	LR: 0.020000
Training Epoch: 29 [32256/47500]	Loss: 0.2916	LR: 0.020000
Training Epoch: 29 [32512/47500]	Loss: 0.4245	LR: 0.020000
Training Epoch: 29 [32768/47500]	Loss: 0.3685	LR: 0.020000
Training Epoch: 29 [33024/47500]	Loss: 0.3663	LR: 0.020000
Training Epoch: 29 [33280/47500]	Loss: 0.4433	LR: 0.020000
Training Epoch: 29 [33536/47500]	Loss: 0.3909	LR: 0.020000
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Training Epoch: 29 [34560/47500]	Loss: 0.3755	LR: 0.020000
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Training Epoch: 29 [35072/47500]	Loss: 0.3524	LR: 0.020000
Training Epoch: 29 [35328/47500]	Loss: 0.4171	LR: 0.020000
Training Epoch: 29 [35584/47500]	Loss: 0.3492	LR: 0.020000
Training Epoch: 29 [35840/47500]	Loss: 0.2860	LR: 0.020000
Training Epoch: 29 [36096/47500]	Loss: 0.3753	LR: 0.020000
Training Epoch: 29 [36352/47500]	Loss: 0.4242	LR: 0.020000
Training Epoch: 29 [36608/47500]	Loss: 0.3825	LR: 0.020000
Training Epoch: 29 [36864/47500]	Loss: 0.4330	LR: 0.020000
Training Epoch: 29 [37120/47500]	Loss: 0.4324	LR: 0.020000
Training Epoch: 29 [37376/47500]	Loss: 0.3091	LR: 0.020000
Training Epoch: 29 [37632/47500]	Loss: 0.4401	LR: 0.020000
Training Epoch: 29 [37888/47500]	Loss: 0.3687	LR: 0.020000
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Training Epoch: 29 [38400/47500]	Loss: 0.3507	LR: 0.020000
Training Epoch: 29 [38656/47500]	Loss: 0.3804	LR: 0.020000
Training Epoch: 29 [38912/47500]	Loss: 0.4319	LR: 0.020000
Training Epoch: 29 [39168/47500]	Loss: 0.2677	LR: 0.020000
Training Epoch: 29 [39424/47500]	Loss: 0.3487	LR: 0.020000
Training Epoch: 29 [39680/47500]	Loss: 0.3931	LR: 0.020000
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Training Epoch: 29 [40192/47500]	Loss: 0.4216	LR: 0.020000
Training Epoch: 29 [40448/47500]	Loss: 0.4038	LR: 0.020000
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Training Epoch: 29 [40960/47500]	Loss: 0.3335	LR: 0.020000
Training Epoch: 29 [41216/47500]	Loss: 0.3704	LR: 0.020000
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Training Epoch: 29 [41728/47500]	Loss: 0.3819	LR: 0.020000
Training Epoch: 29 [41984/47500]	Loss: 0.3409	LR: 0.020000
Training Epoch: 29 [42240/47500]	Loss: 0.3841	LR: 0.020000
Training Epoch: 29 [42496/47500]	Loss: 0.3228	LR: 0.020000
Training Epoch: 29 [42752/47500]	Loss: 0.2952	LR: 0.020000
Training Epoch: 29 [43008/47500]	Loss: 0.4849	LR: 0.020000
Training Epoch: 29 [43264/47500]	Loss: 0.3782	LR: 0.020000
Training Epoch: 29 [43520/47500]	Loss: 0.4533	LR: 0.020000
Training Epoch: 29 [43776/47500]	Loss: 0.4572	LR: 0.020000
Training Epoch: 29 [44032/47500]	Loss: 0.3674	LR: 0.020000
Training Epoch: 29 [44288/47500]	Loss: 0.3716	LR: 0.020000
Training Epoch: 29 [44544/47500]	Loss: 0.4271	LR: 0.020000
Training Epoch: 29 [44800/47500]	Loss: 0.3621	LR: 0.020000
Training Epoch: 29 [45056/47500]	Loss: 0.4657	LR: 0.020000
Training Epoch: 29 [45312/47500]	Loss: 0.3711	LR: 0.020000
Training Epoch: 29 [45568/47500]	Loss: 0.3383	LR: 0.020000
Training Epoch: 29 [45824/47500]	Loss: 0.3675	LR: 0.020000
Training Epoch: 29 [46080/47500]	Loss: 0.5433	LR: 0.020000
Training Epoch: 29 [46336/47500]	Loss: 0.4045	LR: 0.020000
Training Epoch: 29 [46592/47500]	Loss: 0.4350	LR: 0.020000
Training Epoch: 29 [46848/47500]	Loss: 0.3964	LR: 0.020000
Training Epoch: 29 [47104/47500]	Loss: 0.3958	LR: 0.020000
Training Epoch: 29 [47360/47500]	Loss: 0.3874	LR: 0.020000
Training Epoch: 29 [47500/47500]	Loss: 0.3723	LR: 0.020000
Epoch 29 - Average Train Loss: 0.3480, Train Accuracy: 0.8843
Epoch 29 training time consumed: 28.43s
Evaluating Network.....
Test set: Epoch: 29, Average loss: 0.0033, Accuracy: 0.7643, Time consumed:0.88s
Training Epoch: 30 [256/47500]	Loss: 0.3854	LR: 0.004000
Training Epoch: 30 [512/47500]	Loss: 0.2717	LR: 0.004000
Training Epoch: 30 [768/47500]	Loss: 0.2819	LR: 0.004000
Training Epoch: 30 [1024/47500]	Loss: 0.3522	LR: 0.004000
Training Epoch: 30 [1280/47500]	Loss: 0.2838	LR: 0.004000
Training Epoch: 30 [1536/47500]	Loss: 0.2617	LR: 0.004000
Training Epoch: 30 [1792/47500]	Loss: 0.2450	LR: 0.004000
Training Epoch: 30 [2048/47500]	Loss: 0.3349	LR: 0.004000
Training Epoch: 30 [2304/47500]	Loss: 0.2782	LR: 0.004000
Training Epoch: 30 [2560/47500]	Loss: 0.2904	LR: 0.004000
Training Epoch: 30 [2816/47500]	Loss: 0.3283	LR: 0.004000
Training Epoch: 30 [3072/47500]	Loss: 0.2519	LR: 0.004000
Training Epoch: 30 [3328/47500]	Loss: 0.2801	LR: 0.004000
Training Epoch: 30 [3584/47500]	Loss: 0.2418	LR: 0.004000
Training Epoch: 30 [3840/47500]	Loss: 0.2813	LR: 0.004000
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Training Epoch: 30 [47500/47500]	Loss: 0.2437	LR: 0.004000
Epoch 30 - Average Train Loss: 0.2300, Train Accuracy: 0.9273
Epoch 30 training time consumed: 28.36s
Evaluating Network.....
Test set: Epoch: 30, Average loss: 0.0027, Accuracy: 0.8053, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_19h_23m_08s/ResNet18-Cifar20-seed4-ret50-30-best.pth
Training Epoch: 31 [256/47500]	Loss: 0.1672	LR: 0.004000
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Training Epoch: 31 [47360/47500]	Loss: 0.1145	LR: 0.004000
Training Epoch: 31 [47500/47500]	Loss: 0.2646	LR: 0.004000
Epoch 31 - Average Train Loss: 0.1828, Train Accuracy: 0.9435
Epoch 31 training time consumed: 28.47s
Evaluating Network.....
Test set: Epoch: 31, Average loss: 0.0027, Accuracy: 0.8097, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_19h_23m_08s/ResNet18-Cifar20-seed4-ret50-31-best.pth
Training Epoch: 32 [256/47500]	Loss: 0.2597	LR: 0.004000
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Training Epoch: 32 [46592/47500]	Loss: 0.1386	LR: 0.004000
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Training Epoch: 32 [47360/47500]	Loss: 0.2494	LR: 0.004000
Training Epoch: 32 [47500/47500]	Loss: 0.1958	LR: 0.004000
Epoch 32 - Average Train Loss: 0.1685, Train Accuracy: 0.9490
Epoch 32 training time consumed: 28.29s
Evaluating Network.....
Test set: Epoch: 32, Average loss: 0.0027, Accuracy: 0.8077, Time consumed:0.87s
Training Epoch: 33 [256/47500]	Loss: 0.1901	LR: 0.004000
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Training Epoch: 33 [1024/47500]	Loss: 0.1574	LR: 0.004000
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Training Epoch: 33 [6912/47500]	Loss: 0.1665	LR: 0.004000
Training Epoch: 33 [7168/47500]	Loss: 0.1385	LR: 0.004000
Training Epoch: 33 [7424/47500]	Loss: 0.2102	LR: 0.004000
Training Epoch: 33 [7680/47500]	Loss: 0.1681	LR: 0.004000
Training Epoch: 33 [7936/47500]	Loss: 0.2100	LR: 0.004000
Training Epoch: 33 [8192/47500]	Loss: 0.1501	LR: 0.004000
Training Epoch: 33 [8448/47500]	Loss: 0.1217	LR: 0.004000
Training Epoch: 33 [8704/47500]	Loss: 0.1597	LR: 0.004000
Training Epoch: 33 [8960/47500]	Loss: 0.1617	LR: 0.004000
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Training Epoch: 33 [9472/47500]	Loss: 0.1620	LR: 0.004000
Training Epoch: 33 [9728/47500]	Loss: 0.1303	LR: 0.004000
Training Epoch: 33 [9984/47500]	Loss: 0.1506	LR: 0.004000
Training Epoch: 33 [10240/47500]	Loss: 0.1437	LR: 0.004000
Training Epoch: 33 [10496/47500]	Loss: 0.1963	LR: 0.004000
Training Epoch: 33 [10752/47500]	Loss: 0.1179	LR: 0.004000
Training Epoch: 33 [11008/47500]	Loss: 0.1683	LR: 0.004000
Training Epoch: 33 [11264/47500]	Loss: 0.1185	LR: 0.004000
Training Epoch: 33 [11520/47500]	Loss: 0.1541	LR: 0.004000
Training Epoch: 33 [11776/47500]	Loss: 0.2002	LR: 0.004000
Training Epoch: 33 [12032/47500]	Loss: 0.1633	LR: 0.004000
Training Epoch: 33 [12288/47500]	Loss: 0.1351	LR: 0.004000
Training Epoch: 33 [12544/47500]	Loss: 0.1493	LR: 0.004000
Training Epoch: 33 [12800/47500]	Loss: 0.1886	LR: 0.004000
Training Epoch: 33 [13056/47500]	Loss: 0.1505	LR: 0.004000
Training Epoch: 33 [13312/47500]	Loss: 0.1592	LR: 0.004000
Training Epoch: 33 [13568/47500]	Loss: 0.2018	LR: 0.004000
Training Epoch: 33 [13824/47500]	Loss: 0.1286	LR: 0.004000
Training Epoch: 33 [14080/47500]	Loss: 0.1420	LR: 0.004000
Training Epoch: 33 [14336/47500]	Loss: 0.1619	LR: 0.004000
Training Epoch: 33 [14592/47500]	Loss: 0.1919	LR: 0.004000
Training Epoch: 33 [14848/47500]	Loss: 0.1095	LR: 0.004000
Training Epoch: 33 [15104/47500]	Loss: 0.1411	LR: 0.004000
Training Epoch: 33 [15360/47500]	Loss: 0.1748	LR: 0.004000
Training Epoch: 33 [15616/47500]	Loss: 0.1338	LR: 0.004000
Training Epoch: 33 [15872/47500]	Loss: 0.1640	LR: 0.004000
Training Epoch: 33 [16128/47500]	Loss: 0.1194	LR: 0.004000
Training Epoch: 33 [16384/47500]	Loss: 0.1530	LR: 0.004000
Training Epoch: 33 [16640/47500]	Loss: 0.1589	LR: 0.004000
Training Epoch: 33 [16896/47500]	Loss: 0.1471	LR: 0.004000
Training Epoch: 33 [17152/47500]	Loss: 0.1097	LR: 0.004000
Training Epoch: 33 [17408/47500]	Loss: 0.1819	LR: 0.004000
Training Epoch: 33 [17664/47500]	Loss: 0.1475	LR: 0.004000
Training Epoch: 33 [17920/47500]	Loss: 0.2069	LR: 0.004000
Training Epoch: 33 [18176/47500]	Loss: 0.1270	LR: 0.004000
Training Epoch: 33 [18432/47500]	Loss: 0.1200	LR: 0.004000
Training Epoch: 33 [18688/47500]	Loss: 0.1313	LR: 0.004000
Training Epoch: 33 [18944/47500]	Loss: 0.1322	LR: 0.004000
Training Epoch: 33 [19200/47500]	Loss: 0.1005	LR: 0.004000
Training Epoch: 33 [19456/47500]	Loss: 0.1274	LR: 0.004000
Training Epoch: 33 [19712/47500]	Loss: 0.1857	LR: 0.004000
Training Epoch: 33 [19968/47500]	Loss: 0.1364	LR: 0.004000
Training Epoch: 33 [20224/47500]	Loss: 0.1584	LR: 0.004000
Training Epoch: 33 [20480/47500]	Loss: 0.1725	LR: 0.004000
Training Epoch: 33 [20736/47500]	Loss: 0.1765	LR: 0.004000
Training Epoch: 33 [20992/47500]	Loss: 0.1633	LR: 0.004000
Training Epoch: 33 [21248/47500]	Loss: 0.1724	LR: 0.004000
Training Epoch: 33 [21504/47500]	Loss: 0.1398	LR: 0.004000
Training Epoch: 33 [21760/47500]	Loss: 0.1219	LR: 0.004000
Training Epoch: 33 [22016/47500]	Loss: 0.1289	LR: 0.004000
Training Epoch: 33 [22272/47500]	Loss: 0.1423	LR: 0.004000
Training Epoch: 33 [22528/47500]	Loss: 0.1879	LR: 0.004000
Training Epoch: 33 [22784/47500]	Loss: 0.1502	LR: 0.004000
Training Epoch: 33 [23040/47500]	Loss: 0.2117	LR: 0.004000
Training Epoch: 33 [23296/47500]	Loss: 0.1619	LR: 0.004000
Training Epoch: 33 [23552/47500]	Loss: 0.1311	LR: 0.004000
Training Epoch: 33 [23808/47500]	Loss: 0.1430	LR: 0.004000
Training Epoch: 33 [24064/47500]	Loss: 0.1773	LR: 0.004000
Training Epoch: 33 [24320/47500]	Loss: 0.1466	LR: 0.004000
Training Epoch: 33 [24576/47500]	Loss: 0.1720	LR: 0.004000
Training Epoch: 33 [24832/47500]	Loss: 0.0883	LR: 0.004000
Training Epoch: 33 [25088/47500]	Loss: 0.1939	LR: 0.004000
Training Epoch: 33 [25344/47500]	Loss: 0.1897	LR: 0.004000
Training Epoch: 33 [25600/47500]	Loss: 0.1508	LR: 0.004000
Training Epoch: 33 [25856/47500]	Loss: 0.1306	LR: 0.004000
Training Epoch: 33 [26112/47500]	Loss: 0.1433	LR: 0.004000
Training Epoch: 33 [26368/47500]	Loss: 0.1665	LR: 0.004000
Training Epoch: 33 [26624/47500]	Loss: 0.1552	LR: 0.004000
Training Epoch: 33 [26880/47500]	Loss: 0.1697	LR: 0.004000
Training Epoch: 33 [27136/47500]	Loss: 0.1697	LR: 0.004000
Training Epoch: 33 [27392/47500]	Loss: 0.1346	LR: 0.004000
Training Epoch: 33 [27648/47500]	Loss: 0.1272	LR: 0.004000
Training Epoch: 33 [27904/47500]	Loss: 0.1979	LR: 0.004000
Training Epoch: 33 [28160/47500]	Loss: 0.1504	LR: 0.004000
Training Epoch: 33 [28416/47500]	Loss: 0.1453	LR: 0.004000
Training Epoch: 33 [28672/47500]	Loss: 0.1136	LR: 0.004000
Training Epoch: 33 [28928/47500]	Loss: 0.1451	LR: 0.004000
Training Epoch: 33 [29184/47500]	Loss: 0.1487	LR: 0.004000
Training Epoch: 33 [29440/47500]	Loss: 0.1389	LR: 0.004000
Training Epoch: 33 [29696/47500]	Loss: 0.1427	LR: 0.004000
Training Epoch: 33 [29952/47500]	Loss: 0.1098	LR: 0.004000
Training Epoch: 33 [30208/47500]	Loss: 0.1353	LR: 0.004000
Training Epoch: 33 [30464/47500]	Loss: 0.1788	LR: 0.004000
Training Epoch: 33 [30720/47500]	Loss: 0.1123	LR: 0.004000
Training Epoch: 33 [30976/47500]	Loss: 0.1619	LR: 0.004000
Training Epoch: 33 [31232/47500]	Loss: 0.1485	LR: 0.004000
Training Epoch: 33 [31488/47500]	Loss: 0.2150	LR: 0.004000
Training Epoch: 33 [31744/47500]	Loss: 0.1264	LR: 0.004000
Training Epoch: 33 [32000/47500]	Loss: 0.1591	LR: 0.004000
Training Epoch: 33 [32256/47500]	Loss: 0.1821	LR: 0.004000
Training Epoch: 33 [32512/47500]	Loss: 0.1329	LR: 0.004000
Training Epoch: 33 [32768/47500]	Loss: 0.1794	LR: 0.004000
Training Epoch: 33 [33024/47500]	Loss: 0.1343	LR: 0.004000
Training Epoch: 33 [33280/47500]	Loss: 0.1481	LR: 0.004000
Training Epoch: 33 [33536/47500]	Loss: 0.1341	LR: 0.004000
Training Epoch: 33 [33792/47500]	Loss: 0.1292	LR: 0.004000
Training Epoch: 33 [34048/47500]	Loss: 0.1085	LR: 0.004000
Training Epoch: 33 [34304/47500]	Loss: 0.1386	LR: 0.004000
Training Epoch: 33 [34560/47500]	Loss: 0.1117	LR: 0.004000
Training Epoch: 33 [34816/47500]	Loss: 0.1953	LR: 0.004000
Training Epoch: 33 [35072/47500]	Loss: 0.1363	LR: 0.004000
Training Epoch: 33 [35328/47500]	Loss: 0.1356	LR: 0.004000
Training Epoch: 33 [35584/47500]	Loss: 0.1583	LR: 0.004000
Training Epoch: 33 [35840/47500]	Loss: 0.2058	LR: 0.004000
Training Epoch: 33 [36096/47500]	Loss: 0.1585	LR: 0.004000
Training Epoch: 33 [36352/47500]	Loss: 0.1767	LR: 0.004000
Training Epoch: 33 [36608/47500]	Loss: 0.1378	LR: 0.004000
Training Epoch: 33 [36864/47500]	Loss: 0.1382	LR: 0.004000
Training Epoch: 33 [37120/47500]	Loss: 0.2020	LR: 0.004000
Training Epoch: 33 [37376/47500]	Loss: 0.1255	LR: 0.004000
Training Epoch: 33 [37632/47500]	Loss: 0.2064	LR: 0.004000
Training Epoch: 33 [37888/47500]	Loss: 0.1627	LR: 0.004000
Training Epoch: 33 [38144/47500]	Loss: 0.1977	LR: 0.004000
Training Epoch: 33 [38400/47500]	Loss: 0.1687	LR: 0.004000
Training Epoch: 33 [38656/47500]	Loss: 0.1475	LR: 0.004000
Training Epoch: 33 [38912/47500]	Loss: 0.1554	LR: 0.004000
Training Epoch: 33 [39168/47500]	Loss: 0.1502	LR: 0.004000
Training Epoch: 33 [39424/47500]	Loss: 0.1349	LR: 0.004000
Training Epoch: 33 [39680/47500]	Loss: 0.1997	LR: 0.004000
Training Epoch: 33 [39936/47500]	Loss: 0.0972	LR: 0.004000
Training Epoch: 33 [40192/47500]	Loss: 0.1528	LR: 0.004000
Training Epoch: 33 [40448/47500]	Loss: 0.1178	LR: 0.004000
Training Epoch: 33 [40704/47500]	Loss: 0.1687	LR: 0.004000
Training Epoch: 33 [40960/47500]	Loss: 0.1396	LR: 0.004000
Training Epoch: 33 [41216/47500]	Loss: 0.1853	LR: 0.004000
Training Epoch: 33 [41472/47500]	Loss: 0.1472	LR: 0.004000
Training Epoch: 33 [41728/47500]	Loss: 0.1310	LR: 0.004000
Training Epoch: 33 [41984/47500]	Loss: 0.1717	LR: 0.004000
Training Epoch: 33 [42240/47500]	Loss: 0.1426	LR: 0.004000
Training Epoch: 33 [42496/47500]	Loss: 0.1777	LR: 0.004000
Training Epoch: 33 [42752/47500]	Loss: 0.1623	LR: 0.004000
Training Epoch: 33 [43008/47500]	Loss: 0.1699	LR: 0.004000
Training Epoch: 33 [43264/47500]	Loss: 0.1349	LR: 0.004000
Training Epoch: 33 [43520/47500]	Loss: 0.1700	LR: 0.004000
Training Epoch: 33 [43776/47500]	Loss: 0.1464	LR: 0.004000
Training Epoch: 33 [44032/47500]	Loss: 0.1313	LR: 0.004000
Training Epoch: 33 [44288/47500]	Loss: 0.1604	LR: 0.004000
Training Epoch: 33 [44544/47500]	Loss: 0.1750	LR: 0.004000
Training Epoch: 33 [44800/47500]	Loss: 0.1274	LR: 0.004000
Training Epoch: 33 [45056/47500]	Loss: 0.1464	LR: 0.004000
Training Epoch: 33 [45312/47500]	Loss: 0.1368	LR: 0.004000
Training Epoch: 33 [45568/47500]	Loss: 0.2157	LR: 0.004000
Training Epoch: 33 [45824/47500]	Loss: 0.1006	LR: 0.004000
Training Epoch: 33 [46080/47500]	Loss: 0.1749	LR: 0.004000
Training Epoch: 33 [46336/47500]	Loss: 0.1406	LR: 0.004000
Training Epoch: 33 [46592/47500]	Loss: 0.1470	LR: 0.004000
Training Epoch: 33 [46848/47500]	Loss: 0.1410	LR: 0.004000
Training Epoch: 33 [47104/47500]	Loss: 0.1443	LR: 0.004000
Training Epoch: 33 [47360/47500]	Loss: 0.1669	LR: 0.004000
Training Epoch: 33 [47500/47500]	Loss: 0.1521	LR: 0.004000
Epoch 33 - Average Train Loss: 0.1520, Train Accuracy: 0.9551
Epoch 33 training time consumed: 28.38s
Evaluating Network.....
Test set: Epoch: 33, Average loss: 0.0028, Accuracy: 0.8050, Time consumed:0.91s
Training Epoch: 34 [256/47500]	Loss: 0.1134	LR: 0.004000
Training Epoch: 34 [512/47500]	Loss: 0.1318	LR: 0.004000
Training Epoch: 34 [768/47500]	Loss: 0.1163	LR: 0.004000
Training Epoch: 34 [1024/47500]	Loss: 0.1595	LR: 0.004000
Training Epoch: 34 [1280/47500]	Loss: 0.1240	LR: 0.004000
Training Epoch: 34 [1536/47500]	Loss: 0.1492	LR: 0.004000
Training Epoch: 34 [1792/47500]	Loss: 0.1621	LR: 0.004000
Training Epoch: 34 [2048/47500]	Loss: 0.2056	LR: 0.004000
Training Epoch: 34 [2304/47500]	Loss: 0.1107	LR: 0.004000
Training Epoch: 34 [2560/47500]	Loss: 0.1330	LR: 0.004000
Training Epoch: 34 [2816/47500]	Loss: 0.1413	LR: 0.004000
Training Epoch: 34 [3072/47500]	Loss: 0.1564	LR: 0.004000
Training Epoch: 34 [3328/47500]	Loss: 0.1609	LR: 0.004000
Training Epoch: 34 [3584/47500]	Loss: 0.1441	LR: 0.004000
Training Epoch: 34 [3840/47500]	Loss: 0.1557	LR: 0.004000
Training Epoch: 34 [4096/47500]	Loss: 0.1220	LR: 0.004000
Training Epoch: 34 [4352/47500]	Loss: 0.1414	LR: 0.004000
Training Epoch: 34 [4608/47500]	Loss: 0.1485	LR: 0.004000
Training Epoch: 34 [4864/47500]	Loss: 0.1513	LR: 0.004000
Training Epoch: 34 [5120/47500]	Loss: 0.1633	LR: 0.004000
Training Epoch: 34 [5376/47500]	Loss: 0.1772	LR: 0.004000
Training Epoch: 34 [5632/47500]	Loss: 0.1697	LR: 0.004000
Training Epoch: 34 [5888/47500]	Loss: 0.1664	LR: 0.004000
Training Epoch: 34 [6144/47500]	Loss: 0.1508	LR: 0.004000
Training Epoch: 34 [6400/47500]	Loss: 0.1156	LR: 0.004000
Training Epoch: 34 [6656/47500]	Loss: 0.1635	LR: 0.004000
Training Epoch: 34 [6912/47500]	Loss: 0.1527	LR: 0.004000
Training Epoch: 34 [7168/47500]	Loss: 0.1765	LR: 0.004000
Training Epoch: 34 [7424/47500]	Loss: 0.1249	LR: 0.004000
Training Epoch: 34 [7680/47500]	Loss: 0.0977	LR: 0.004000
Training Epoch: 34 [7936/47500]	Loss: 0.1474	LR: 0.004000
Training Epoch: 34 [8192/47500]	Loss: 0.1313	LR: 0.004000
Training Epoch: 34 [8448/47500]	Loss: 0.1645	LR: 0.004000
Training Epoch: 34 [8704/47500]	Loss: 0.1926	LR: 0.004000
Training Epoch: 34 [8960/47500]	Loss: 0.1032	LR: 0.004000
Training Epoch: 34 [9216/47500]	Loss: 0.1350	LR: 0.004000
Training Epoch: 34 [9472/47500]	Loss: 0.0944	LR: 0.004000
Training Epoch: 34 [9728/47500]	Loss: 0.1142	LR: 0.004000
Training Epoch: 34 [9984/47500]	Loss: 0.1453	LR: 0.004000
Training Epoch: 34 [10240/47500]	Loss: 0.1761	LR: 0.004000
Training Epoch: 34 [10496/47500]	Loss: 0.1192	LR: 0.004000
Training Epoch: 34 [10752/47500]	Loss: 0.0902	LR: 0.004000
Training Epoch: 34 [11008/47500]	Loss: 0.1485	LR: 0.004000
Training Epoch: 34 [11264/47500]	Loss: 0.0964	LR: 0.004000
Training Epoch: 34 [11520/47500]	Loss: 0.1364	LR: 0.004000
Training Epoch: 34 [11776/47500]	Loss: 0.1624	LR: 0.004000
Training Epoch: 34 [12032/47500]	Loss: 0.1465	LR: 0.004000
Training Epoch: 34 [12288/47500]	Loss: 0.1087	LR: 0.004000
Training Epoch: 34 [12544/47500]	Loss: 0.1145	LR: 0.004000
Training Epoch: 34 [12800/47500]	Loss: 0.1259	LR: 0.004000
Training Epoch: 34 [13056/47500]	Loss: 0.1306	LR: 0.004000
Training Epoch: 34 [13312/47500]	Loss: 0.1508	LR: 0.004000
Training Epoch: 34 [13568/47500]	Loss: 0.1765	LR: 0.004000
Training Epoch: 34 [13824/47500]	Loss: 0.1006	LR: 0.004000
Training Epoch: 34 [14080/47500]	Loss: 0.1361	LR: 0.004000
Training Epoch: 34 [14336/47500]	Loss: 0.1522	LR: 0.004000
Training Epoch: 34 [14592/47500]	Loss: 0.1557	LR: 0.004000
Training Epoch: 34 [14848/47500]	Loss: 0.1263	LR: 0.004000
Training Epoch: 34 [15104/47500]	Loss: 0.1079	LR: 0.004000
Training Epoch: 34 [15360/47500]	Loss: 0.0880	LR: 0.004000
Training Epoch: 34 [15616/47500]	Loss: 0.1242	LR: 0.004000
Training Epoch: 34 [15872/47500]	Loss: 0.1628	LR: 0.004000
Training Epoch: 34 [16128/47500]	Loss: 0.1524	LR: 0.004000
Training Epoch: 34 [16384/47500]	Loss: 0.1643	LR: 0.004000
Training Epoch: 34 [16640/47500]	Loss: 0.1691	LR: 0.004000
Training Epoch: 34 [16896/47500]	Loss: 0.1404	LR: 0.004000
Training Epoch: 34 [17152/47500]	Loss: 0.1538	LR: 0.004000
Training Epoch: 34 [17408/47500]	Loss: 0.1033	LR: 0.004000
Training Epoch: 34 [17664/47500]	Loss: 0.1105	LR: 0.004000
Training Epoch: 34 [17920/47500]	Loss: 0.0889	LR: 0.004000
Training Epoch: 34 [18176/47500]	Loss: 0.1114	LR: 0.004000
Training Epoch: 34 [18432/47500]	Loss: 0.0928	LR: 0.004000
Training Epoch: 34 [18688/47500]	Loss: 0.1344	LR: 0.004000
Training Epoch: 34 [18944/47500]	Loss: 0.1333	LR: 0.004000
Training Epoch: 34 [19200/47500]	Loss: 0.1243	LR: 0.004000
Training Epoch: 34 [19456/47500]	Loss: 0.1385	LR: 0.004000
Training Epoch: 34 [19712/47500]	Loss: 0.2278	LR: 0.004000
Training Epoch: 34 [19968/47500]	Loss: 0.1585	LR: 0.004000
Training Epoch: 34 [20224/47500]	Loss: 0.1782	LR: 0.004000
Training Epoch: 34 [20480/47500]	Loss: 0.1576	LR: 0.004000
Training Epoch: 34 [20736/47500]	Loss: 0.1850	LR: 0.004000
Training Epoch: 34 [20992/47500]	Loss: 0.1205	LR: 0.004000
Training Epoch: 34 [21248/47500]	Loss: 0.1902	LR: 0.004000
Training Epoch: 34 [21504/47500]	Loss: 0.1177	LR: 0.004000
Training Epoch: 34 [21760/47500]	Loss: 0.1939	LR: 0.004000
Training Epoch: 34 [22016/47500]	Loss: 0.1221	LR: 0.004000
Training Epoch: 34 [22272/47500]	Loss: 0.1423	LR: 0.004000
Training Epoch: 34 [22528/47500]	Loss: 0.1482	LR: 0.004000
Training Epoch: 34 [22784/47500]	Loss: 0.1548	LR: 0.004000
Training Epoch: 34 [23040/47500]	Loss: 0.1549	LR: 0.004000
Training Epoch: 34 [23296/47500]	Loss: 0.1847	LR: 0.004000
Training Epoch: 34 [23552/47500]	Loss: 0.1803	LR: 0.004000
Training Epoch: 34 [23808/47500]	Loss: 0.1060	LR: 0.004000
Training Epoch: 34 [24064/47500]	Loss: 0.1421	LR: 0.004000
Training Epoch: 34 [24320/47500]	Loss: 0.1253	LR: 0.004000
Training Epoch: 34 [24576/47500]	Loss: 0.1409	LR: 0.004000
Training Epoch: 34 [24832/47500]	Loss: 0.1484	LR: 0.004000
Training Epoch: 34 [25088/47500]	Loss: 0.1097	LR: 0.004000
Training Epoch: 34 [25344/47500]	Loss: 0.1152	LR: 0.004000
Training Epoch: 34 [25600/47500]	Loss: 0.1266	LR: 0.004000
Training Epoch: 34 [25856/47500]	Loss: 0.1388	LR: 0.004000
Training Epoch: 34 [26112/47500]	Loss: 0.1314	LR: 0.004000
Training Epoch: 34 [26368/47500]	Loss: 0.1762	LR: 0.004000
Training Epoch: 34 [26624/47500]	Loss: 0.1719	LR: 0.004000
Training Epoch: 34 [26880/47500]	Loss: 0.1911	LR: 0.004000
Training Epoch: 34 [27136/47500]	Loss: 0.1406	LR: 0.004000
Training Epoch: 34 [27392/47500]	Loss: 0.1921	LR: 0.004000
Training Epoch: 34 [27648/47500]	Loss: 0.1132	LR: 0.004000
Training Epoch: 34 [27904/47500]	Loss: 0.1487	LR: 0.004000
Training Epoch: 34 [28160/47500]	Loss: 0.1227	LR: 0.004000
Training Epoch: 34 [28416/47500]	Loss: 0.1679	LR: 0.004000
Training Epoch: 34 [28672/47500]	Loss: 0.1432	LR: 0.004000
Training Epoch: 34 [28928/47500]	Loss: 0.1847	LR: 0.004000
Training Epoch: 34 [29184/47500]	Loss: 0.1270	LR: 0.004000
Training Epoch: 34 [29440/47500]	Loss: 0.1766	LR: 0.004000
Training Epoch: 34 [29696/47500]	Loss: 0.1392	LR: 0.004000
Training Epoch: 34 [29952/47500]	Loss: 0.1329	LR: 0.004000
Training Epoch: 34 [30208/47500]	Loss: 0.2083	LR: 0.004000
Training Epoch: 34 [30464/47500]	Loss: 0.1375	LR: 0.004000
Training Epoch: 34 [30720/47500]	Loss: 0.1168	LR: 0.004000
Training Epoch: 34 [30976/47500]	Loss: 0.1011	LR: 0.004000
Training Epoch: 34 [31232/47500]	Loss: 0.1458	LR: 0.004000
Training Epoch: 34 [31488/47500]	Loss: 0.1660	LR: 0.004000
Training Epoch: 34 [31744/47500]	Loss: 0.1504	LR: 0.004000
Training Epoch: 34 [32000/47500]	Loss: 0.0889	LR: 0.004000
Training Epoch: 34 [32256/47500]	Loss: 0.1461	LR: 0.004000
Training Epoch: 34 [32512/47500]	Loss: 0.1210	LR: 0.004000
Training Epoch: 34 [32768/47500]	Loss: 0.1451	LR: 0.004000
Training Epoch: 34 [33024/47500]	Loss: 0.1691	LR: 0.004000
Training Epoch: 34 [33280/47500]	Loss: 0.1081	LR: 0.004000
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Training Epoch: 34 [42496/47500]	Loss: 0.1381	LR: 0.004000
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Training Epoch: 34 [43264/47500]	Loss: 0.1320	LR: 0.004000
Training Epoch: 34 [43520/47500]	Loss: 0.1645	LR: 0.004000
Training Epoch: 34 [43776/47500]	Loss: 0.1570	LR: 0.004000
Training Epoch: 34 [44032/47500]	Loss: 0.1227	LR: 0.004000
Training Epoch: 34 [44288/47500]	Loss: 0.1608	LR: 0.004000
Training Epoch: 34 [44544/47500]	Loss: 0.1390	LR: 0.004000
Training Epoch: 34 [44800/47500]	Loss: 0.1628	LR: 0.004000
Training Epoch: 34 [45056/47500]	Loss: 0.1594	LR: 0.004000
Training Epoch: 34 [45312/47500]	Loss: 0.1597	LR: 0.004000
Training Epoch: 34 [45568/47500]	Loss: 0.2247	LR: 0.004000
Training Epoch: 34 [45824/47500]	Loss: 0.1519	LR: 0.004000
Training Epoch: 34 [46080/47500]	Loss: 0.1570	LR: 0.004000
Training Epoch: 34 [46336/47500]	Loss: 0.1524	LR: 0.004000
Training Epoch: 34 [46592/47500]	Loss: 0.1397	LR: 0.004000
Training Epoch: 34 [46848/47500]	Loss: 0.1565	LR: 0.004000
Training Epoch: 34 [47104/47500]	Loss: 0.1242	LR: 0.004000
Training Epoch: 34 [47360/47500]	Loss: 0.2076	LR: 0.004000
Training Epoch: 34 [47500/47500]	Loss: 0.1228	LR: 0.004000
Epoch 34 - Average Train Loss: 0.1437, Train Accuracy: 0.9567
Epoch 34 training time consumed: 28.29s
Evaluating Network.....
Test set: Epoch: 34, Average loss: 0.0029, Accuracy: 0.8077, Time consumed:0.91s
Training Epoch: 35 [256/47500]	Loss: 0.1253	LR: 0.000800
Training Epoch: 35 [512/47500]	Loss: 0.1455	LR: 0.000800
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Training Epoch: 35 [1280/47500]	Loss: 0.1100	LR: 0.000800
Training Epoch: 35 [1536/47500]	Loss: 0.1056	LR: 0.000800
Training Epoch: 35 [1792/47500]	Loss: 0.1555	LR: 0.000800
Training Epoch: 35 [2048/47500]	Loss: 0.1051	LR: 0.000800
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Training Epoch: 35 [2560/47500]	Loss: 0.1248	LR: 0.000800
Training Epoch: 35 [2816/47500]	Loss: 0.1074	LR: 0.000800
Training Epoch: 35 [3072/47500]	Loss: 0.1109	LR: 0.000800
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Training Epoch: 35 [5120/47500]	Loss: 0.0833	LR: 0.000800
Training Epoch: 35 [5376/47500]	Loss: 0.1154	LR: 0.000800
Training Epoch: 35 [5632/47500]	Loss: 0.0941	LR: 0.000800
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Training Epoch: 35 [6144/47500]	Loss: 0.1799	LR: 0.000800
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Training Epoch: 35 [7168/47500]	Loss: 0.1134	LR: 0.000800
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Training Epoch: 35 [8448/47500]	Loss: 0.1143	LR: 0.000800
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Training Epoch: 35 [44288/47500]	Loss: 0.1395	LR: 0.000800
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Training Epoch: 35 [44800/47500]	Loss: 0.1327	LR: 0.000800
Training Epoch: 35 [45056/47500]	Loss: 0.1617	LR: 0.000800
Training Epoch: 35 [45312/47500]	Loss: 0.0944	LR: 0.000800
Training Epoch: 35 [45568/47500]	Loss: 0.1336	LR: 0.000800
Training Epoch: 35 [45824/47500]	Loss: 0.1628	LR: 0.000800
Training Epoch: 35 [46080/47500]	Loss: 0.1151	LR: 0.000800
Training Epoch: 35 [46336/47500]	Loss: 0.1136	LR: 0.000800
Training Epoch: 35 [46592/47500]	Loss: 0.1408	LR: 0.000800
Training Epoch: 35 [46848/47500]	Loss: 0.1119	LR: 0.000800
Training Epoch: 35 [47104/47500]	Loss: 0.1002	LR: 0.000800
Training Epoch: 35 [47360/47500]	Loss: 0.1170	LR: 0.000800
Training Epoch: 35 [47500/47500]	Loss: 0.1302	LR: 0.000800
Epoch 35 - Average Train Loss: 0.1241, Train Accuracy: 0.9645
Epoch 35 training time consumed: 28.27s
Evaluating Network.....
Test set: Epoch: 35, Average loss: 0.0028, Accuracy: 0.8117, Time consumed:0.87s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_19h_23m_08s/ResNet18-Cifar20-seed4-ret50-35-best.pth
Training Epoch: 36 [256/47500]	Loss: 0.1306	LR: 0.000800
Training Epoch: 36 [512/47500]	Loss: 0.1319	LR: 0.000800
Training Epoch: 36 [768/47500]	Loss: 0.1250	LR: 0.000800
Training Epoch: 36 [1024/47500]	Loss: 0.1051	LR: 0.000800
Training Epoch: 36 [1280/47500]	Loss: 0.1126	LR: 0.000800
Training Epoch: 36 [1536/47500]	Loss: 0.1170	LR: 0.000800
Training Epoch: 36 [1792/47500]	Loss: 0.1636	LR: 0.000800
Training Epoch: 36 [2048/47500]	Loss: 0.0997	LR: 0.000800
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Training Epoch: 36 [2560/47500]	Loss: 0.1541	LR: 0.000800
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Training Epoch: 36 [10240/47500]	Loss: 0.1124	LR: 0.000800
Training Epoch: 36 [10496/47500]	Loss: 0.1337	LR: 0.000800
Training Epoch: 36 [10752/47500]	Loss: 0.1527	LR: 0.000800
Training Epoch: 36 [11008/47500]	Loss: 0.1223	LR: 0.000800
Training Epoch: 36 [11264/47500]	Loss: 0.0984	LR: 0.000800
Training Epoch: 36 [11520/47500]	Loss: 0.1105	LR: 0.000800
Training Epoch: 36 [11776/47500]	Loss: 0.1359	LR: 0.000800
Training Epoch: 36 [12032/47500]	Loss: 0.0959	LR: 0.000800
Training Epoch: 36 [12288/47500]	Loss: 0.1164	LR: 0.000800
Training Epoch: 36 [12544/47500]	Loss: 0.1318	LR: 0.000800
Training Epoch: 36 [12800/47500]	Loss: 0.1557	LR: 0.000800
Training Epoch: 36 [13056/47500]	Loss: 0.1056	LR: 0.000800
Training Epoch: 36 [13312/47500]	Loss: 0.1484	LR: 0.000800
Training Epoch: 36 [13568/47500]	Loss: 0.0829	LR: 0.000800
Training Epoch: 36 [13824/47500]	Loss: 0.1395	LR: 0.000800
Training Epoch: 36 [14080/47500]	Loss: 0.1224	LR: 0.000800
Training Epoch: 36 [14336/47500]	Loss: 0.1276	LR: 0.000800
Training Epoch: 36 [14592/47500]	Loss: 0.1046	LR: 0.000800
Training Epoch: 36 [14848/47500]	Loss: 0.0532	LR: 0.000800
Training Epoch: 36 [15104/47500]	Loss: 0.1308	LR: 0.000800
Training Epoch: 36 [15360/47500]	Loss: 0.0850	LR: 0.000800
Training Epoch: 36 [15616/47500]	Loss: 0.1172	LR: 0.000800
Training Epoch: 36 [15872/47500]	Loss: 0.1146	LR: 0.000800
Training Epoch: 36 [16128/47500]	Loss: 0.1130	LR: 0.000800
Training Epoch: 36 [16384/47500]	Loss: 0.1268	LR: 0.000800
Training Epoch: 36 [16640/47500]	Loss: 0.0649	LR: 0.000800
Training Epoch: 36 [16896/47500]	Loss: 0.1007	LR: 0.000800
Training Epoch: 36 [17152/47500]	Loss: 0.1266	LR: 0.000800
Training Epoch: 36 [17408/47500]	Loss: 0.0969	LR: 0.000800
Training Epoch: 36 [17664/47500]	Loss: 0.1252	LR: 0.000800
Training Epoch: 36 [17920/47500]	Loss: 0.0934	LR: 0.000800
Training Epoch: 36 [18176/47500]	Loss: 0.1329	LR: 0.000800
Training Epoch: 36 [18432/47500]	Loss: 0.1298	LR: 0.000800
Training Epoch: 36 [18688/47500]	Loss: 0.1281	LR: 0.000800
Training Epoch: 36 [18944/47500]	Loss: 0.0834	LR: 0.000800
Training Epoch: 36 [19200/47500]	Loss: 0.1031	LR: 0.000800
Training Epoch: 36 [19456/47500]	Loss: 0.1334	LR: 0.000800
Training Epoch: 36 [19712/47500]	Loss: 0.1335	LR: 0.000800
Training Epoch: 36 [19968/47500]	Loss: 0.1215	LR: 0.000800
Training Epoch: 36 [20224/47500]	Loss: 0.1131	LR: 0.000800
Training Epoch: 36 [20480/47500]	Loss: 0.0921	LR: 0.000800
Training Epoch: 36 [20736/47500]	Loss: 0.0940	LR: 0.000800
Training Epoch: 36 [20992/47500]	Loss: 0.1396	LR: 0.000800
Training Epoch: 36 [21248/47500]	Loss: 0.1143	LR: 0.000800
Training Epoch: 36 [21504/47500]	Loss: 0.1119	LR: 0.000800
Training Epoch: 36 [21760/47500]	Loss: 0.1222	LR: 0.000800
Training Epoch: 36 [22016/47500]	Loss: 0.1189	LR: 0.000800
Training Epoch: 36 [22272/47500]	Loss: 0.1885	LR: 0.000800
Training Epoch: 36 [22528/47500]	Loss: 0.1480	LR: 0.000800
Training Epoch: 36 [22784/47500]	Loss: 0.0869	LR: 0.000800
Training Epoch: 36 [23040/47500]	Loss: 0.0975	LR: 0.000800
Training Epoch: 36 [23296/47500]	Loss: 0.1237	LR: 0.000800
Training Epoch: 36 [23552/47500]	Loss: 0.1350	LR: 0.000800
Training Epoch: 36 [23808/47500]	Loss: 0.1292	LR: 0.000800
Training Epoch: 36 [24064/47500]	Loss: 0.1280	LR: 0.000800
Training Epoch: 36 [24320/47500]	Loss: 0.1109	LR: 0.000800
Training Epoch: 36 [24576/47500]	Loss: 0.1052	LR: 0.000800
Training Epoch: 36 [24832/47500]	Loss: 0.1009	LR: 0.000800
Training Epoch: 36 [25088/47500]	Loss: 0.1350	LR: 0.000800
Training Epoch: 36 [25344/47500]	Loss: 0.1050	LR: 0.000800
Training Epoch: 36 [25600/47500]	Loss: 0.1551	LR: 0.000800
Training Epoch: 36 [25856/47500]	Loss: 0.1145	LR: 0.000800
Training Epoch: 36 [26112/47500]	Loss: 0.1007	LR: 0.000800
Training Epoch: 36 [26368/47500]	Loss: 0.1036	LR: 0.000800
Training Epoch: 36 [26624/47500]	Loss: 0.1328	LR: 0.000800
Training Epoch: 36 [26880/47500]	Loss: 0.0955	LR: 0.000800
Training Epoch: 36 [27136/47500]	Loss: 0.1148	LR: 0.000800
Training Epoch: 36 [27392/47500]	Loss: 0.1643	LR: 0.000800
Training Epoch: 36 [27648/47500]	Loss: 0.1540	LR: 0.000800
Training Epoch: 36 [27904/47500]	Loss: 0.1795	LR: 0.000800
Training Epoch: 36 [28160/47500]	Loss: 0.1216	LR: 0.000800
Training Epoch: 36 [28416/47500]	Loss: 0.1660	LR: 0.000800
Training Epoch: 36 [28672/47500]	Loss: 0.1031	LR: 0.000800
Training Epoch: 36 [28928/47500]	Loss: 0.0570	LR: 0.000800
Training Epoch: 36 [29184/47500]	Loss: 0.1277	LR: 0.000800
Training Epoch: 36 [29440/47500]	Loss: 0.1136	LR: 0.000800
Training Epoch: 36 [29696/47500]	Loss: 0.1380	LR: 0.000800
Training Epoch: 36 [29952/47500]	Loss: 0.0849	LR: 0.000800
Training Epoch: 36 [30208/47500]	Loss: 0.1034	LR: 0.000800
Training Epoch: 36 [30464/47500]	Loss: 0.1286	LR: 0.000800
Training Epoch: 36 [30720/47500]	Loss: 0.1193	LR: 0.000800
Training Epoch: 36 [30976/47500]	Loss: 0.1256	LR: 0.000800
Training Epoch: 36 [31232/47500]	Loss: 0.0922	LR: 0.000800
Training Epoch: 36 [31488/47500]	Loss: 0.0856	LR: 0.000800
Training Epoch: 36 [31744/47500]	Loss: 0.1550	LR: 0.000800
Training Epoch: 36 [32000/47500]	Loss: 0.1222	LR: 0.000800
Training Epoch: 36 [32256/47500]	Loss: 0.0992	LR: 0.000800
Training Epoch: 36 [32512/47500]	Loss: 0.1494	LR: 0.000800
Training Epoch: 36 [32768/47500]	Loss: 0.1220	LR: 0.000800
Training Epoch: 36 [33024/47500]	Loss: 0.0858	LR: 0.000800
Training Epoch: 36 [33280/47500]	Loss: 0.1602	LR: 0.000800
Training Epoch: 36 [33536/47500]	Loss: 0.1100	LR: 0.000800
Training Epoch: 36 [33792/47500]	Loss: 0.1337	LR: 0.000800
Training Epoch: 36 [34048/47500]	Loss: 0.0924	LR: 0.000800
Training Epoch: 36 [34304/47500]	Loss: 0.0994	LR: 0.000800
Training Epoch: 36 [34560/47500]	Loss: 0.1079	LR: 0.000800
Training Epoch: 36 [34816/47500]	Loss: 0.1005	LR: 0.000800
Training Epoch: 36 [35072/47500]	Loss: 0.0788	LR: 0.000800
Training Epoch: 36 [35328/47500]	Loss: 0.1066	LR: 0.000800
Training Epoch: 36 [35584/47500]	Loss: 0.1067	LR: 0.000800
Training Epoch: 36 [35840/47500]	Loss: 0.1160	LR: 0.000800
Training Epoch: 36 [36096/47500]	Loss: 0.0705	LR: 0.000800
Training Epoch: 36 [36352/47500]	Loss: 0.1056	LR: 0.000800
Training Epoch: 36 [36608/47500]	Loss: 0.1272	LR: 0.000800
Training Epoch: 36 [36864/47500]	Loss: 0.1431	LR: 0.000800
Training Epoch: 36 [37120/47500]	Loss: 0.1316	LR: 0.000800
Training Epoch: 36 [37376/47500]	Loss: 0.1150	LR: 0.000800
Training Epoch: 36 [37632/47500]	Loss: 0.1224	LR: 0.000800
Training Epoch: 36 [37888/47500]	Loss: 0.1112	LR: 0.000800
Training Epoch: 36 [38144/47500]	Loss: 0.1257	LR: 0.000800
Training Epoch: 36 [38400/47500]	Loss: 0.1229	LR: 0.000800
Training Epoch: 36 [38656/47500]	Loss: 0.1693	LR: 0.000800
Training Epoch: 36 [38912/47500]	Loss: 0.1010	LR: 0.000800
Training Epoch: 36 [39168/47500]	Loss: 0.1381	LR: 0.000800
Training Epoch: 36 [39424/47500]	Loss: 0.1386	LR: 0.000800
Training Epoch: 36 [39680/47500]	Loss: 0.1497	LR: 0.000800
Training Epoch: 36 [39936/47500]	Loss: 0.1464	LR: 0.000800
Training Epoch: 36 [40192/47500]	Loss: 0.0698	LR: 0.000800
Training Epoch: 36 [40448/47500]	Loss: 0.1166	LR: 0.000800
Training Epoch: 36 [40704/47500]	Loss: 0.1199	LR: 0.000800
Training Epoch: 36 [40960/47500]	Loss: 0.1143	LR: 0.000800
Training Epoch: 36 [41216/47500]	Loss: 0.1048	LR: 0.000800
Training Epoch: 36 [41472/47500]	Loss: 0.0870	LR: 0.000800
Training Epoch: 36 [41728/47500]	Loss: 0.1195	LR: 0.000800
Training Epoch: 36 [41984/47500]	Loss: 0.1084	LR: 0.000800
Training Epoch: 36 [42240/47500]	Loss: 0.1023	LR: 0.000800
Training Epoch: 36 [42496/47500]	Loss: 0.1481	LR: 0.000800
Training Epoch: 36 [42752/47500]	Loss: 0.0595	LR: 0.000800
Training Epoch: 36 [43008/47500]	Loss: 0.1304	LR: 0.000800
Training Epoch: 36 [43264/47500]	Loss: 0.1166	LR: 0.000800
Training Epoch: 36 [43520/47500]	Loss: 0.0741	LR: 0.000800
Training Epoch: 36 [43776/47500]	Loss: 0.0887	LR: 0.000800
Training Epoch: 36 [44032/47500]	Loss: 0.1271	LR: 0.000800
Training Epoch: 36 [44288/47500]	Loss: 0.1074	LR: 0.000800
Training Epoch: 36 [44544/47500]	Loss: 0.1159	LR: 0.000800
Training Epoch: 36 [44800/47500]	Loss: 0.1102	LR: 0.000800
Training Epoch: 36 [45056/47500]	Loss: 0.0706	LR: 0.000800
Training Epoch: 36 [45312/47500]	Loss: 0.1085	LR: 0.000800
Training Epoch: 36 [45568/47500]	Loss: 0.1434	LR: 0.000800
Training Epoch: 36 [45824/47500]	Loss: 0.1096	LR: 0.000800
Training Epoch: 36 [46080/47500]	Loss: 0.1702	LR: 0.000800
Training Epoch: 36 [46336/47500]	Loss: 0.1067	LR: 0.000800
Training Epoch: 36 [46592/47500]	Loss: 0.1096	LR: 0.000800
Training Epoch: 36 [46848/47500]	Loss: 0.1114	LR: 0.000800
Training Epoch: 36 [47104/47500]	Loss: 0.1126	LR: 0.000800
Training Epoch: 36 [47360/47500]	Loss: 0.1418	LR: 0.000800
Training Epoch: 36 [47500/47500]	Loss: 0.2536	LR: 0.000800
Epoch 36 - Average Train Loss: 0.1181, Train Accuracy: 0.9662
Epoch 36 training time consumed: 28.51s
Evaluating Network.....
Test set: Epoch: 36, Average loss: 0.0028, Accuracy: 0.8110, Time consumed:0.90s
Training Epoch: 37 [256/47500]	Loss: 0.1226	LR: 0.000800
Training Epoch: 37 [512/47500]	Loss: 0.1346	LR: 0.000800
Training Epoch: 37 [768/47500]	Loss: 0.0989	LR: 0.000800
Training Epoch: 37 [1024/47500]	Loss: 0.1261	LR: 0.000800
Training Epoch: 37 [1280/47500]	Loss: 0.1168	LR: 0.000800
Training Epoch: 37 [1536/47500]	Loss: 0.1332	LR: 0.000800
Training Epoch: 37 [1792/47500]	Loss: 0.1112	LR: 0.000800
Training Epoch: 37 [2048/47500]	Loss: 0.1222	LR: 0.000800
Training Epoch: 37 [2304/47500]	Loss: 0.1149	LR: 0.000800
Training Epoch: 37 [2560/47500]	Loss: 0.1205	LR: 0.000800
Training Epoch: 37 [2816/47500]	Loss: 0.1076	LR: 0.000800
Training Epoch: 37 [3072/47500]	Loss: 0.1421	LR: 0.000800
Training Epoch: 37 [3328/47500]	Loss: 0.1511	LR: 0.000800
Training Epoch: 37 [3584/47500]	Loss: 0.1018	LR: 0.000800
Training Epoch: 37 [3840/47500]	Loss: 0.1558	LR: 0.000800
Training Epoch: 37 [4096/47500]	Loss: 0.0964	LR: 0.000800
Training Epoch: 37 [4352/47500]	Loss: 0.1195	LR: 0.000800
Training Epoch: 37 [4608/47500]	Loss: 0.1178	LR: 0.000800
Training Epoch: 37 [4864/47500]	Loss: 0.0992	LR: 0.000800
Training Epoch: 37 [5120/47500]	Loss: 0.1265	LR: 0.000800
Training Epoch: 37 [5376/47500]	Loss: 0.1545	LR: 0.000800
Training Epoch: 37 [5632/47500]	Loss: 0.1465	LR: 0.000800
Training Epoch: 37 [5888/47500]	Loss: 0.0963	LR: 0.000800
Training Epoch: 37 [6144/47500]	Loss: 0.1013	LR: 0.000800
Training Epoch: 37 [6400/47500]	Loss: 0.1292	LR: 0.000800
Training Epoch: 37 [6656/47500]	Loss: 0.1377	LR: 0.000800
Training Epoch: 37 [6912/47500]	Loss: 0.1618	LR: 0.000800
Training Epoch: 37 [7168/47500]	Loss: 0.1241	LR: 0.000800
Training Epoch: 37 [7424/47500]	Loss: 0.1139	LR: 0.000800
Training Epoch: 37 [7680/47500]	Loss: 0.1804	LR: 0.000800
Training Epoch: 37 [7936/47500]	Loss: 0.0940	LR: 0.000800
Training Epoch: 37 [8192/47500]	Loss: 0.1011	LR: 0.000800
Training Epoch: 37 [8448/47500]	Loss: 0.1369	LR: 0.000800
Training Epoch: 37 [8704/47500]	Loss: 0.0919	LR: 0.000800
Training Epoch: 37 [8960/47500]	Loss: 0.0990	LR: 0.000800
Training Epoch: 37 [9216/47500]	Loss: 0.1265	LR: 0.000800
Training Epoch: 37 [9472/47500]	Loss: 0.1225	LR: 0.000800
Training Epoch: 37 [9728/47500]	Loss: 0.0801	LR: 0.000800
Training Epoch: 37 [9984/47500]	Loss: 0.1067	LR: 0.000800
Training Epoch: 37 [10240/47500]	Loss: 0.1165	LR: 0.000800
Training Epoch: 37 [10496/47500]	Loss: 0.1137	LR: 0.000800
Training Epoch: 37 [10752/47500]	Loss: 0.0962	LR: 0.000800
Training Epoch: 37 [11008/47500]	Loss: 0.1233	LR: 0.000800
Training Epoch: 37 [11264/47500]	Loss: 0.0824	LR: 0.000800
Training Epoch: 37 [11520/47500]	Loss: 0.1039	LR: 0.000800
Training Epoch: 37 [11776/47500]	Loss: 0.1124	LR: 0.000800
Training Epoch: 37 [12032/47500]	Loss: 0.1599	LR: 0.000800
Training Epoch: 37 [12288/47500]	Loss: 0.1293	LR: 0.000800
Training Epoch: 37 [12544/47500]	Loss: 0.1044	LR: 0.000800
Training Epoch: 37 [12800/47500]	Loss: 0.0902	LR: 0.000800
Training Epoch: 37 [13056/47500]	Loss: 0.1233	LR: 0.000800
Training Epoch: 37 [13312/47500]	Loss: 0.0859	LR: 0.000800
Training Epoch: 37 [13568/47500]	Loss: 0.1916	LR: 0.000800
Training Epoch: 37 [13824/47500]	Loss: 0.1220	LR: 0.000800
Training Epoch: 37 [14080/47500]	Loss: 0.1203	LR: 0.000800
Training Epoch: 37 [14336/47500]	Loss: 0.1102	LR: 0.000800
Training Epoch: 37 [14592/47500]	Loss: 0.0865	LR: 0.000800
Training Epoch: 37 [14848/47500]	Loss: 0.0895	LR: 0.000800
Training Epoch: 37 [15104/47500]	Loss: 0.1320	LR: 0.000800
Training Epoch: 37 [15360/47500]	Loss: 0.0976	LR: 0.000800
Training Epoch: 37 [15616/47500]	Loss: 0.1003	LR: 0.000800
Training Epoch: 37 [15872/47500]	Loss: 0.1100	LR: 0.000800
Training Epoch: 37 [16128/47500]	Loss: 0.0920	LR: 0.000800
Training Epoch: 37 [16384/47500]	Loss: 0.1190	LR: 0.000800
Training Epoch: 37 [16640/47500]	Loss: 0.1165	LR: 0.000800
Training Epoch: 37 [16896/47500]	Loss: 0.1063	LR: 0.000800
Training Epoch: 37 [17152/47500]	Loss: 0.1225	LR: 0.000800
Training Epoch: 37 [17408/47500]	Loss: 0.1165	LR: 0.000800
Training Epoch: 37 [17664/47500]	Loss: 0.1102	LR: 0.000800
Training Epoch: 37 [17920/47500]	Loss: 0.0977	LR: 0.000800
Training Epoch: 37 [18176/47500]	Loss: 0.1097	LR: 0.000800
Training Epoch: 37 [18432/47500]	Loss: 0.1025	LR: 0.000800
Training Epoch: 37 [18688/47500]	Loss: 0.1088	LR: 0.000800
Training Epoch: 37 [18944/47500]	Loss: 0.1250	LR: 0.000800
Training Epoch: 37 [19200/47500]	Loss: 0.1416	LR: 0.000800
Training Epoch: 37 [19456/47500]	Loss: 0.0876	LR: 0.000800
Training Epoch: 37 [19712/47500]	Loss: 0.0982	LR: 0.000800
Training Epoch: 37 [19968/47500]	Loss: 0.0862	LR: 0.000800
Training Epoch: 37 [20224/47500]	Loss: 0.1178	LR: 0.000800
Training Epoch: 37 [20480/47500]	Loss: 0.1200	LR: 0.000800
Training Epoch: 37 [20736/47500]	Loss: 0.1261	LR: 0.000800
Training Epoch: 37 [20992/47500]	Loss: 0.0721	LR: 0.000800
Training Epoch: 37 [21248/47500]	Loss: 0.1058	LR: 0.000800
Training Epoch: 37 [21504/47500]	Loss: 0.1268	LR: 0.000800
Training Epoch: 37 [21760/47500]	Loss: 0.1418	LR: 0.000800
Training Epoch: 37 [22016/47500]	Loss: 0.0974	LR: 0.000800
Training Epoch: 37 [22272/47500]	Loss: 0.0834	LR: 0.000800
Training Epoch: 37 [22528/47500]	Loss: 0.1320	LR: 0.000800
Training Epoch: 37 [22784/47500]	Loss: 0.1430	LR: 0.000800
Training Epoch: 37 [23040/47500]	Loss: 0.0791	LR: 0.000800
Training Epoch: 37 [23296/47500]	Loss: 0.0880	LR: 0.000800
Training Epoch: 37 [23552/47500]	Loss: 0.1477	LR: 0.000800
Training Epoch: 37 [23808/47500]	Loss: 0.0914	LR: 0.000800
Training Epoch: 37 [24064/47500]	Loss: 0.1028	LR: 0.000800
Training Epoch: 37 [24320/47500]	Loss: 0.1031	LR: 0.000800
Training Epoch: 37 [24576/47500]	Loss: 0.0944	LR: 0.000800
Training Epoch: 37 [24832/47500]	Loss: 0.1229	LR: 0.000800
Training Epoch: 37 [25088/47500]	Loss: 0.0723	LR: 0.000800
Training Epoch: 37 [25344/47500]	Loss: 0.1280	LR: 0.000800
Training Epoch: 37 [25600/47500]	Loss: 0.1148	LR: 0.000800
Training Epoch: 37 [25856/47500]	Loss: 0.1170	LR: 0.000800
Training Epoch: 37 [26112/47500]	Loss: 0.1116	LR: 0.000800
Training Epoch: 37 [26368/47500]	Loss: 0.1107	LR: 0.000800
Training Epoch: 37 [26624/47500]	Loss: 0.0910	LR: 0.000800
Training Epoch: 37 [26880/47500]	Loss: 0.1455	LR: 0.000800
Training Epoch: 37 [27136/47500]	Loss: 0.0961	LR: 0.000800
Training Epoch: 37 [27392/47500]	Loss: 0.0997	LR: 0.000800
Training Epoch: 37 [27648/47500]	Loss: 0.1176	LR: 0.000800
Training Epoch: 37 [27904/47500]	Loss: 0.1096	LR: 0.000800
Training Epoch: 37 [28160/47500]	Loss: 0.1237	LR: 0.000800
Training Epoch: 37 [28416/47500]	Loss: 0.1090	LR: 0.000800
Training Epoch: 37 [28672/47500]	Loss: 0.0933	LR: 0.000800
Training Epoch: 37 [28928/47500]	Loss: 0.0832	LR: 0.000800
Training Epoch: 37 [29184/47500]	Loss: 0.0685	LR: 0.000800
Training Epoch: 37 [29440/47500]	Loss: 0.1136	LR: 0.000800
Training Epoch: 37 [29696/47500]	Loss: 0.0894	LR: 0.000800
Training Epoch: 37 [29952/47500]	Loss: 0.1196	LR: 0.000800
Training Epoch: 37 [30208/47500]	Loss: 0.1008	LR: 0.000800
Training Epoch: 37 [30464/47500]	Loss: 0.1061	LR: 0.000800
Training Epoch: 37 [30720/47500]	Loss: 0.1443	LR: 0.000800
Training Epoch: 37 [30976/47500]	Loss: 0.0751	LR: 0.000800
Training Epoch: 37 [31232/47500]	Loss: 0.1228	LR: 0.000800
Training Epoch: 37 [31488/47500]	Loss: 0.1189	LR: 0.000800
Training Epoch: 37 [31744/47500]	Loss: 0.1200	LR: 0.000800
Training Epoch: 37 [32000/47500]	Loss: 0.1116	LR: 0.000800
Training Epoch: 37 [32256/47500]	Loss: 0.1207	LR: 0.000800
Training Epoch: 37 [32512/47500]	Loss: 0.1028	LR: 0.000800
Training Epoch: 37 [32768/47500]	Loss: 0.0903	LR: 0.000800
Training Epoch: 37 [33024/47500]	Loss: 0.1168	LR: 0.000800
Training Epoch: 37 [33280/47500]	Loss: 0.1302	LR: 0.000800
Training Epoch: 37 [33536/47500]	Loss: 0.0891	LR: 0.000800
Training Epoch: 37 [33792/47500]	Loss: 0.0948	LR: 0.000800
Training Epoch: 37 [34048/47500]	Loss: 0.0989	LR: 0.000800
Training Epoch: 37 [34304/47500]	Loss: 0.0829	LR: 0.000800
Training Epoch: 37 [34560/47500]	Loss: 0.1010	LR: 0.000800
Training Epoch: 37 [34816/47500]	Loss: 0.1029	LR: 0.000800
Training Epoch: 37 [35072/47500]	Loss: 0.1137	LR: 0.000800
Training Epoch: 37 [35328/47500]	Loss: 0.0966	LR: 0.000800
Training Epoch: 37 [35584/47500]	Loss: 0.1080	LR: 0.000800
Training Epoch: 37 [35840/47500]	Loss: 0.1483	LR: 0.000800
Training Epoch: 37 [36096/47500]	Loss: 0.1678	LR: 0.000800
Training Epoch: 37 [36352/47500]	Loss: 0.1407	LR: 0.000800
Training Epoch: 37 [36608/47500]	Loss: 0.1029	LR: 0.000800
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Training Epoch: 37 [44288/47500]	Loss: 0.1252	LR: 0.000800
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Training Epoch: 37 [44800/47500]	Loss: 0.1040	LR: 0.000800
Training Epoch: 37 [45056/47500]	Loss: 0.1027	LR: 0.000800
Training Epoch: 37 [45312/47500]	Loss: 0.1173	LR: 0.000800
Training Epoch: 37 [45568/47500]	Loss: 0.0990	LR: 0.000800
Training Epoch: 37 [45824/47500]	Loss: 0.1005	LR: 0.000800
Training Epoch: 37 [46080/47500]	Loss: 0.1111	LR: 0.000800
Training Epoch: 37 [46336/47500]	Loss: 0.1342	LR: 0.000800
Training Epoch: 37 [46592/47500]	Loss: 0.1017	LR: 0.000800
Training Epoch: 37 [46848/47500]	Loss: 0.0687	LR: 0.000800
Training Epoch: 37 [47104/47500]	Loss: 0.1232	LR: 0.000800
Training Epoch: 37 [47360/47500]	Loss: 0.1326	LR: 0.000800
Training Epoch: 37 [47500/47500]	Loss: 0.1449	LR: 0.000800
Epoch 37 - Average Train Loss: 0.1144, Train Accuracy: 0.9669
Epoch 37 training time consumed: 28.29s
Evaluating Network.....
Test set: Epoch: 37, Average loss: 0.0028, Accuracy: 0.8118, Time consumed:0.87s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_19h_23m_08s/ResNet18-Cifar20-seed4-ret50-37-best.pth
Training Epoch: 38 [256/47500]	Loss: 0.0935	LR: 0.000800
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Training Epoch: 38 [43776/47500]	Loss: 0.1319	LR: 0.000800
Training Epoch: 38 [44032/47500]	Loss: 0.1317	LR: 0.000800
Training Epoch: 38 [44288/47500]	Loss: 0.1385	LR: 0.000800
Training Epoch: 38 [44544/47500]	Loss: 0.1192	LR: 0.000800
Training Epoch: 38 [44800/47500]	Loss: 0.1109	LR: 0.000800
Training Epoch: 38 [45056/47500]	Loss: 0.1160	LR: 0.000800
Training Epoch: 38 [45312/47500]	Loss: 0.1014	LR: 0.000800
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Training Epoch: 38 [45824/47500]	Loss: 0.1033	LR: 0.000800
Training Epoch: 38 [46080/47500]	Loss: 0.1263	LR: 0.000800
Training Epoch: 38 [46336/47500]	Loss: 0.1190	LR: 0.000800
Training Epoch: 38 [46592/47500]	Loss: 0.1079	LR: 0.000800
Training Epoch: 38 [46848/47500]	Loss: 0.1018	LR: 0.000800
Training Epoch: 38 [47104/47500]	Loss: 0.0966	LR: 0.000800
Training Epoch: 38 [47360/47500]	Loss: 0.0891	LR: 0.000800
Training Epoch: 38 [47500/47500]	Loss: 0.0941	LR: 0.000800
Epoch 38 - Average Train Loss: 0.1110, Train Accuracy: 0.9686
Epoch 38 training time consumed: 28.34s
Evaluating Network.....
Test set: Epoch: 38, Average loss: 0.0028, Accuracy: 0.8111, Time consumed:0.96s
Training Epoch: 39 [256/47500]	Loss: 0.0723	LR: 0.000800
Training Epoch: 39 [512/47500]	Loss: 0.0799	LR: 0.000800
Training Epoch: 39 [768/47500]	Loss: 0.1455	LR: 0.000800
Training Epoch: 39 [1024/47500]	Loss: 0.0849	LR: 0.000800
Training Epoch: 39 [1280/47500]	Loss: 0.0800	LR: 0.000800
Training Epoch: 39 [1536/47500]	Loss: 0.0820	LR: 0.000800
Training Epoch: 39 [1792/47500]	Loss: 0.1148	LR: 0.000800
Training Epoch: 39 [2048/47500]	Loss: 0.0893	LR: 0.000800
Training Epoch: 39 [2304/47500]	Loss: 0.0746	LR: 0.000800
Training Epoch: 39 [2560/47500]	Loss: 0.1143	LR: 0.000800
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Training Epoch: 39 [3072/47500]	Loss: 0.0901	LR: 0.000800
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Training Epoch: 39 [13568/47500]	Loss: 0.1119	LR: 0.000800
Training Epoch: 39 [13824/47500]	Loss: 0.0751	LR: 0.000800
Training Epoch: 39 [14080/47500]	Loss: 0.1062	LR: 0.000800
Training Epoch: 39 [14336/47500]	Loss: 0.1230	LR: 0.000800
Training Epoch: 39 [14592/47500]	Loss: 0.1091	LR: 0.000800
Training Epoch: 39 [14848/47500]	Loss: 0.2006	LR: 0.000800
Training Epoch: 39 [15104/47500]	Loss: 0.0817	LR: 0.000800
Training Epoch: 39 [15360/47500]	Loss: 0.1292	LR: 0.000800
Training Epoch: 39 [15616/47500]	Loss: 0.0777	LR: 0.000800
Training Epoch: 39 [15872/47500]	Loss: 0.1258	LR: 0.000800
Training Epoch: 39 [16128/47500]	Loss: 0.0886	LR: 0.000800
Training Epoch: 39 [16384/47500]	Loss: 0.1440	LR: 0.000800
Training Epoch: 39 [16640/47500]	Loss: 0.1229	LR: 0.000800
Training Epoch: 39 [16896/47500]	Loss: 0.1069	LR: 0.000800
Training Epoch: 39 [17152/47500]	Loss: 0.1015	LR: 0.000800
Training Epoch: 39 [17408/47500]	Loss: 0.1167	LR: 0.000800
Training Epoch: 39 [17664/47500]	Loss: 0.0938	LR: 0.000800
Training Epoch: 39 [17920/47500]	Loss: 0.0990	LR: 0.000800
Training Epoch: 39 [18176/47500]	Loss: 0.1217	LR: 0.000800
Training Epoch: 39 [18432/47500]	Loss: 0.1117	LR: 0.000800
Training Epoch: 39 [18688/47500]	Loss: 0.0916	LR: 0.000800
Training Epoch: 39 [18944/47500]	Loss: 0.1026	LR: 0.000800
Training Epoch: 39 [19200/47500]	Loss: 0.1111	LR: 0.000800
Training Epoch: 39 [19456/47500]	Loss: 0.0989	LR: 0.000800
Training Epoch: 39 [19712/47500]	Loss: 0.1302	LR: 0.000800
Training Epoch: 39 [19968/47500]	Loss: 0.1154	LR: 0.000800
Training Epoch: 39 [20224/47500]	Loss: 0.0939	LR: 0.000800
Training Epoch: 39 [20480/47500]	Loss: 0.1203	LR: 0.000800
Training Epoch: 39 [20736/47500]	Loss: 0.1141	LR: 0.000800
Training Epoch: 39 [20992/47500]	Loss: 0.0995	LR: 0.000800
Training Epoch: 39 [21248/47500]	Loss: 0.1144	LR: 0.000800
Training Epoch: 39 [21504/47500]	Loss: 0.1160	LR: 0.000800
Training Epoch: 39 [21760/47500]	Loss: 0.0997	LR: 0.000800
Training Epoch: 39 [22016/47500]	Loss: 0.1061	LR: 0.000800
Training Epoch: 39 [22272/47500]	Loss: 0.1141	LR: 0.000800
Training Epoch: 39 [22528/47500]	Loss: 0.1321	LR: 0.000800
Training Epoch: 39 [22784/47500]	Loss: 0.0733	LR: 0.000800
Training Epoch: 39 [23040/47500]	Loss: 0.1301	LR: 0.000800
Training Epoch: 39 [23296/47500]	Loss: 0.1040	LR: 0.000800
Training Epoch: 39 [23552/47500]	Loss: 0.0899	LR: 0.000800
Training Epoch: 39 [23808/47500]	Loss: 0.0999	LR: 0.000800
Training Epoch: 39 [24064/47500]	Loss: 0.1475	LR: 0.000800
Training Epoch: 39 [24320/47500]	Loss: 0.0958	LR: 0.000800
Training Epoch: 39 [24576/47500]	Loss: 0.1245	LR: 0.000800
Training Epoch: 39 [24832/47500]	Loss: 0.0779	LR: 0.000800
Training Epoch: 39 [25088/47500]	Loss: 0.1138	LR: 0.000800
Training Epoch: 39 [25344/47500]	Loss: 0.1216	LR: 0.000800
Training Epoch: 39 [25600/47500]	Loss: 0.1389	LR: 0.000800
Training Epoch: 39 [25856/47500]	Loss: 0.1002	LR: 0.000800
Training Epoch: 39 [26112/47500]	Loss: 0.1178	LR: 0.000800
Training Epoch: 39 [26368/47500]	Loss: 0.1132	LR: 0.000800
Training Epoch: 39 [26624/47500]	Loss: 0.1353	LR: 0.000800
Training Epoch: 39 [26880/47500]	Loss: 0.1177	LR: 0.000800
Training Epoch: 39 [27136/47500]	Loss: 0.1049	LR: 0.000800
Training Epoch: 39 [27392/47500]	Loss: 0.1249	LR: 0.000800
Training Epoch: 39 [27648/47500]	Loss: 0.1202	LR: 0.000800
Training Epoch: 39 [27904/47500]	Loss: 0.1612	LR: 0.000800
Training Epoch: 39 [28160/47500]	Loss: 0.0957	LR: 0.000800
Training Epoch: 39 [28416/47500]	Loss: 0.0895	LR: 0.000800
Training Epoch: 39 [28672/47500]	Loss: 0.1265	LR: 0.000800
Training Epoch: 39 [28928/47500]	Loss: 0.1099	LR: 0.000800
Training Epoch: 39 [29184/47500]	Loss: 0.0821	LR: 0.000800
Training Epoch: 39 [29440/47500]	Loss: 0.1061	LR: 0.000800
Training Epoch: 39 [29696/47500]	Loss: 0.1272	LR: 0.000800
Training Epoch: 39 [29952/47500]	Loss: 0.1090	LR: 0.000800
Training Epoch: 39 [30208/47500]	Loss: 0.1012	LR: 0.000800
Training Epoch: 39 [30464/47500]	Loss: 0.0849	LR: 0.000800
Training Epoch: 39 [30720/47500]	Loss: 0.1025	LR: 0.000800
Training Epoch: 39 [30976/47500]	Loss: 0.0792	LR: 0.000800
Training Epoch: 39 [31232/47500]	Loss: 0.1148	LR: 0.000800
Training Epoch: 39 [31488/47500]	Loss: 0.1232	LR: 0.000800
Training Epoch: 39 [31744/47500]	Loss: 0.1031	LR: 0.000800
Training Epoch: 39 [32000/47500]	Loss: 0.1217	LR: 0.000800
Training Epoch: 39 [32256/47500]	Loss: 0.0815	LR: 0.000800
Training Epoch: 39 [32512/47500]	Loss: 0.1023	LR: 0.000800
Training Epoch: 39 [32768/47500]	Loss: 0.0912	LR: 0.000800
Training Epoch: 39 [33024/47500]	Loss: 0.0989	LR: 0.000800
Training Epoch: 39 [33280/47500]	Loss: 0.1094	LR: 0.000800
Training Epoch: 39 [33536/47500]	Loss: 0.1043	LR: 0.000800
Training Epoch: 39 [33792/47500]	Loss: 0.1306	LR: 0.000800
Training Epoch: 39 [34048/47500]	Loss: 0.0776	LR: 0.000800
Training Epoch: 39 [34304/47500]	Loss: 0.1229	LR: 0.000800
Training Epoch: 39 [34560/47500]	Loss: 0.1471	LR: 0.000800
Training Epoch: 39 [34816/47500]	Loss: 0.1108	LR: 0.000800
Training Epoch: 39 [35072/47500]	Loss: 0.1336	LR: 0.000800
Training Epoch: 39 [35328/47500]	Loss: 0.1296	LR: 0.000800
Training Epoch: 39 [35584/47500]	Loss: 0.1634	LR: 0.000800
Training Epoch: 39 [35840/47500]	Loss: 0.1171	LR: 0.000800
Training Epoch: 39 [36096/47500]	Loss: 0.0782	LR: 0.000800
Training Epoch: 39 [36352/47500]	Loss: 0.1127	LR: 0.000800
Training Epoch: 39 [36608/47500]	Loss: 0.1121	LR: 0.000800
Training Epoch: 39 [36864/47500]	Loss: 0.0779	LR: 0.000800
Training Epoch: 39 [37120/47500]	Loss: 0.0616	LR: 0.000800
Training Epoch: 39 [37376/47500]	Loss: 0.0802	LR: 0.000800
Training Epoch: 39 [37632/47500]	Loss: 0.1383	LR: 0.000800
Training Epoch: 39 [37888/47500]	Loss: 0.1238	LR: 0.000800
Training Epoch: 39 [38144/47500]	Loss: 0.0899	LR: 0.000800
Training Epoch: 39 [38400/47500]	Loss: 0.1305	LR: 0.000800
Training Epoch: 39 [38656/47500]	Loss: 0.0853	LR: 0.000800
Training Epoch: 39 [38912/47500]	Loss: 0.0935	LR: 0.000800
Training Epoch: 39 [39168/47500]	Loss: 0.1286	LR: 0.000800
Training Epoch: 39 [39424/47500]	Loss: 0.1110	LR: 0.000800
Training Epoch: 39 [39680/47500]	Loss: 0.1414	LR: 0.000800
Training Epoch: 39 [39936/47500]	Loss: 0.0930	LR: 0.000800
Training Epoch: 39 [40192/47500]	Loss: 0.1225	LR: 0.000800
Training Epoch: 39 [40448/47500]	Loss: 0.0808	LR: 0.000800
Training Epoch: 39 [40704/47500]	Loss: 0.0810	LR: 0.000800
Training Epoch: 39 [40960/47500]	Loss: 0.0758	LR: 0.000800
Training Epoch: 39 [41216/47500]	Loss: 0.1224	LR: 0.000800
Training Epoch: 39 [41472/47500]	Loss: 0.0846	LR: 0.000800
Training Epoch: 39 [41728/47500]	Loss: 0.1272	LR: 0.000800
Training Epoch: 39 [41984/47500]	Loss: 0.1004	LR: 0.000800
Training Epoch: 39 [42240/47500]	Loss: 0.1470	LR: 0.000800
Training Epoch: 39 [42496/47500]	Loss: 0.1068	LR: 0.000800
Training Epoch: 39 [42752/47500]	Loss: 0.1041	LR: 0.000800
Training Epoch: 39 [43008/47500]	Loss: 0.1157	LR: 0.000800
Training Epoch: 39 [43264/47500]	Loss: 0.1381	LR: 0.000800
Training Epoch: 39 [43520/47500]	Loss: 0.1112	LR: 0.000800
Training Epoch: 39 [43776/47500]	Loss: 0.1045	LR: 0.000800
Training Epoch: 39 [44032/47500]	Loss: 0.1099	LR: 0.000800
Training Epoch: 39 [44288/47500]	Loss: 0.1556	LR: 0.000800
Training Epoch: 39 [44544/47500]	Loss: 0.0965	LR: 0.000800
Training Epoch: 39 [44800/47500]	Loss: 0.1312	LR: 0.000800
Training Epoch: 39 [45056/47500]	Loss: 0.0989	LR: 0.000800
Training Epoch: 39 [45312/47500]	Loss: 0.1257	LR: 0.000800
Training Epoch: 39 [45568/47500]	Loss: 0.1016	LR: 0.000800
Training Epoch: 39 [45824/47500]	Loss: 0.1054	LR: 0.000800
Training Epoch: 39 [46080/47500]	Loss: 0.0984	LR: 0.000800
Training Epoch: 39 [46336/47500]	Loss: 0.1122	LR: 0.000800
Training Epoch: 39 [46592/47500]	Loss: 0.0842	LR: 0.000800
Training Epoch: 39 [46848/47500]	Loss: 0.1163	LR: 0.000800
Training Epoch: 39 [47104/47500]	Loss: 0.0772	LR: 0.000800
Training Epoch: 39 [47360/47500]	Loss: 0.1395	LR: 0.000800
Training Epoch: 39 [47500/47500]	Loss: 0.1206	LR: 0.000800
Epoch 39 - Average Train Loss: 0.1091, Train Accuracy: 0.9692
Epoch 39 training time consumed: 28.23s
Evaluating Network.....
Test set: Epoch: 39, Average loss: 0.0028, Accuracy: 0.8102, Time consumed:0.89s
Training Epoch: 40 [256/47500]	Loss: 0.1101	LR: 0.000800
Training Epoch: 40 [512/47500]	Loss: 0.0952	LR: 0.000800
Training Epoch: 40 [768/47500]	Loss: 0.0965	LR: 0.000800
Training Epoch: 40 [1024/47500]	Loss: 0.1109	LR: 0.000800
Training Epoch: 40 [1280/47500]	Loss: 0.0845	LR: 0.000800
Training Epoch: 40 [1536/47500]	Loss: 0.0952	LR: 0.000800
Training Epoch: 40 [1792/47500]	Loss: 0.0994	LR: 0.000800
Training Epoch: 40 [2048/47500]	Loss: 0.1102	LR: 0.000800
Training Epoch: 40 [2304/47500]	Loss: 0.1253	LR: 0.000800
Training Epoch: 40 [2560/47500]	Loss: 0.0856	LR: 0.000800
Training Epoch: 40 [2816/47500]	Loss: 0.0839	LR: 0.000800
Training Epoch: 40 [3072/47500]	Loss: 0.1101	LR: 0.000800
Training Epoch: 40 [3328/47500]	Loss: 0.0987	LR: 0.000800
Training Epoch: 40 [3584/47500]	Loss: 0.1006	LR: 0.000800
Training Epoch: 40 [3840/47500]	Loss: 0.1184	LR: 0.000800
Training Epoch: 40 [4096/47500]	Loss: 0.1184	LR: 0.000800
Training Epoch: 40 [4352/47500]	Loss: 0.0754	LR: 0.000800
Training Epoch: 40 [4608/47500]	Loss: 0.0768	LR: 0.000800
Training Epoch: 40 [4864/47500]	Loss: 0.0756	LR: 0.000800
Training Epoch: 40 [5120/47500]	Loss: 0.1199	LR: 0.000800
Training Epoch: 40 [5376/47500]	Loss: 0.1163	LR: 0.000800
Training Epoch: 40 [5632/47500]	Loss: 0.0725	LR: 0.000800
Training Epoch: 40 [5888/47500]	Loss: 0.1050	LR: 0.000800
Training Epoch: 40 [6144/47500]	Loss: 0.1646	LR: 0.000800
Training Epoch: 40 [6400/47500]	Loss: 0.0862	LR: 0.000800
Training Epoch: 40 [6656/47500]	Loss: 0.1439	LR: 0.000800
Training Epoch: 40 [6912/47500]	Loss: 0.0914	LR: 0.000800
Training Epoch: 40 [7168/47500]	Loss: 0.0799	LR: 0.000800
Training Epoch: 40 [7424/47500]	Loss: 0.1089	LR: 0.000800
Training Epoch: 40 [7680/47500]	Loss: 0.1254	LR: 0.000800
Training Epoch: 40 [7936/47500]	Loss: 0.1165	LR: 0.000800
Training Epoch: 40 [8192/47500]	Loss: 0.0869	LR: 0.000800
Training Epoch: 40 [8448/47500]	Loss: 0.0858	LR: 0.000800
Training Epoch: 40 [8704/47500]	Loss: 0.0838	LR: 0.000800
Training Epoch: 40 [8960/47500]	Loss: 0.0982	LR: 0.000800
Training Epoch: 40 [9216/47500]	Loss: 0.1319	LR: 0.000800
Training Epoch: 40 [9472/47500]	Loss: 0.0773	LR: 0.000800
Training Epoch: 40 [9728/47500]	Loss: 0.0948	LR: 0.000800
Training Epoch: 40 [9984/47500]	Loss: 0.0864	LR: 0.000800
Training Epoch: 40 [10240/47500]	Loss: 0.0944	LR: 0.000800
Training Epoch: 40 [10496/47500]	Loss: 0.1016	LR: 0.000800
Training Epoch: 40 [10752/47500]	Loss: 0.1371	LR: 0.000800
Training Epoch: 40 [11008/47500]	Loss: 0.1390	LR: 0.000800
Training Epoch: 40 [11264/47500]	Loss: 0.0851	LR: 0.000800
Training Epoch: 40 [11520/47500]	Loss: 0.0984	LR: 0.000800
Training Epoch: 40 [11776/47500]	Loss: 0.0887	LR: 0.000800
Training Epoch: 40 [12032/47500]	Loss: 0.1149	LR: 0.000800
Training Epoch: 40 [12288/47500]	Loss: 0.1193	LR: 0.000800
Training Epoch: 40 [12544/47500]	Loss: 0.1339	LR: 0.000800
Training Epoch: 40 [12800/47500]	Loss: 0.1175	LR: 0.000800
Training Epoch: 40 [13056/47500]	Loss: 0.1385	LR: 0.000800
Training Epoch: 40 [13312/47500]	Loss: 0.0859	LR: 0.000800
Training Epoch: 40 [13568/47500]	Loss: 0.1175	LR: 0.000800
Training Epoch: 40 [13824/47500]	Loss: 0.1660	LR: 0.000800
Training Epoch: 40 [14080/47500]	Loss: 0.1059	LR: 0.000800
Training Epoch: 40 [14336/47500]	Loss: 0.0954	LR: 0.000800
Training Epoch: 40 [14592/47500]	Loss: 0.1118	LR: 0.000800
Training Epoch: 40 [14848/47500]	Loss: 0.1286	LR: 0.000800
Training Epoch: 40 [15104/47500]	Loss: 0.0991	LR: 0.000800
Training Epoch: 40 [15360/47500]	Loss: 0.1236	LR: 0.000800
Training Epoch: 40 [15616/47500]	Loss: 0.1492	LR: 0.000800
Training Epoch: 40 [15872/47500]	Loss: 0.1385	LR: 0.000800
Training Epoch: 40 [16128/47500]	Loss: 0.1027	LR: 0.000800
Training Epoch: 40 [16384/47500]	Loss: 0.1035	LR: 0.000800
Training Epoch: 40 [16640/47500]	Loss: 0.1192	LR: 0.000800
Training Epoch: 40 [16896/47500]	Loss: 0.1211	LR: 0.000800
Training Epoch: 40 [17152/47500]	Loss: 0.0795	LR: 0.000800
Training Epoch: 40 [17408/47500]	Loss: 0.1357	LR: 0.000800
Training Epoch: 40 [17664/47500]	Loss: 0.0960	LR: 0.000800
Training Epoch: 40 [17920/47500]	Loss: 0.1090	LR: 0.000800
Training Epoch: 40 [18176/47500]	Loss: 0.1390	LR: 0.000800
Training Epoch: 40 [18432/47500]	Loss: 0.0949	LR: 0.000800
Training Epoch: 40 [18688/47500]	Loss: 0.1323	LR: 0.000800
Training Epoch: 40 [18944/47500]	Loss: 0.0969	LR: 0.000800
Training Epoch: 40 [19200/47500]	Loss: 0.1112	LR: 0.000800
Training Epoch: 40 [19456/47500]	Loss: 0.1246	LR: 0.000800
Training Epoch: 40 [19712/47500]	Loss: 0.1143	LR: 0.000800
Training Epoch: 40 [19968/47500]	Loss: 0.1634	LR: 0.000800
Training Epoch: 40 [20224/47500]	Loss: 0.0912	LR: 0.000800
Training Epoch: 40 [20480/47500]	Loss: 0.1151	LR: 0.000800
Training Epoch: 40 [20736/47500]	Loss: 0.1001	LR: 0.000800
Training Epoch: 40 [20992/47500]	Loss: 0.1617	LR: 0.000800
Training Epoch: 40 [21248/47500]	Loss: 0.0946	LR: 0.000800
Training Epoch: 40 [21504/47500]	Loss: 0.0923	LR: 0.000800
Training Epoch: 40 [21760/47500]	Loss: 0.1263	LR: 0.000800
Training Epoch: 40 [22016/47500]	Loss: 0.0745	LR: 0.000800
Training Epoch: 40 [22272/47500]	Loss: 0.0845	LR: 0.000800
Training Epoch: 40 [22528/47500]	Loss: 0.1269	LR: 0.000800
Training Epoch: 40 [22784/47500]	Loss: 0.1419	LR: 0.000800
Training Epoch: 40 [23040/47500]	Loss: 0.0968	LR: 0.000800
Training Epoch: 40 [23296/47500]	Loss: 0.0746	LR: 0.000800
Training Epoch: 40 [23552/47500]	Loss: 0.1321	LR: 0.000800
Training Epoch: 40 [23808/47500]	Loss: 0.1536	LR: 0.000800
Training Epoch: 40 [24064/47500]	Loss: 0.1001	LR: 0.000800
Training Epoch: 40 [24320/47500]	Loss: 0.1021	LR: 0.000800
Training Epoch: 40 [24576/47500]	Loss: 0.1161	LR: 0.000800
Training Epoch: 40 [24832/47500]	Loss: 0.0703	LR: 0.000800
Training Epoch: 40 [25088/47500]	Loss: 0.1028	LR: 0.000800
Training Epoch: 40 [25344/47500]	Loss: 0.1095	LR: 0.000800
Training Epoch: 40 [25600/47500]	Loss: 0.0852	LR: 0.000800
Training Epoch: 40 [25856/47500]	Loss: 0.0960	LR: 0.000800
Training Epoch: 40 [26112/47500]	Loss: 0.1326	LR: 0.000800
Training Epoch: 40 [26368/47500]	Loss: 0.1374	LR: 0.000800
Training Epoch: 40 [26624/47500]	Loss: 0.0904	LR: 0.000800
Training Epoch: 40 [26880/47500]	Loss: 0.0970	LR: 0.000800
Training Epoch: 40 [27136/47500]	Loss: 0.1125	LR: 0.000800
Training Epoch: 40 [27392/47500]	Loss: 0.1019	LR: 0.000800
Training Epoch: 40 [27648/47500]	Loss: 0.0974	LR: 0.000800
Training Epoch: 40 [27904/47500]	Loss: 0.0786	LR: 0.000800
Training Epoch: 40 [28160/47500]	Loss: 0.0976	LR: 0.000800
Training Epoch: 40 [28416/47500]	Loss: 0.0936	LR: 0.000800
Training Epoch: 40 [28672/47500]	Loss: 0.0657	LR: 0.000800
Training Epoch: 40 [28928/47500]	Loss: 0.1276	LR: 0.000800
Training Epoch: 40 [29184/47500]	Loss: 0.1156	LR: 0.000800
Training Epoch: 40 [29440/47500]	Loss: 0.1151	LR: 0.000800
Training Epoch: 40 [29696/47500]	Loss: 0.1014	LR: 0.000800
Training Epoch: 40 [29952/47500]	Loss: 0.0927	LR: 0.000800
Training Epoch: 40 [30208/47500]	Loss: 0.1307	LR: 0.000800
Training Epoch: 40 [30464/47500]	Loss: 0.1149	LR: 0.000800
Training Epoch: 40 [30720/47500]	Loss: 0.1365	LR: 0.000800
Training Epoch: 40 [30976/47500]	Loss: 0.0838	LR: 0.000800
Training Epoch: 40 [31232/47500]	Loss: 0.1153	LR: 0.000800
Training Epoch: 40 [31488/47500]	Loss: 0.1232	LR: 0.000800
Training Epoch: 40 [31744/47500]	Loss: 0.0979	LR: 0.000800
Training Epoch: 40 [32000/47500]	Loss: 0.1258	LR: 0.000800
Training Epoch: 40 [32256/47500]	Loss: 0.0835	LR: 0.000800
Training Epoch: 40 [32512/47500]	Loss: 0.1539	LR: 0.000800
Training Epoch: 40 [32768/47500]	Loss: 0.1059	LR: 0.000800
Training Epoch: 40 [33024/47500]	Loss: 0.0959	LR: 0.000800
Training Epoch: 40 [33280/47500]	Loss: 0.0836	LR: 0.000800
Training Epoch: 40 [33536/47500]	Loss: 0.0778	LR: 0.000800
Training Epoch: 40 [33792/47500]	Loss: 0.0903	LR: 0.000800
Training Epoch: 40 [34048/47500]	Loss: 0.1175	LR: 0.000800
Training Epoch: 40 [34304/47500]	Loss: 0.0963	LR: 0.000800
Training Epoch: 40 [34560/47500]	Loss: 0.1427	LR: 0.000800
Training Epoch: 40 [34816/47500]	Loss: 0.1219	LR: 0.000800
Training Epoch: 40 [35072/47500]	Loss: 0.1108	LR: 0.000800
Training Epoch: 40 [35328/47500]	Loss: 0.0751	LR: 0.000800
Training Epoch: 40 [35584/47500]	Loss: 0.1177	LR: 0.000800
Training Epoch: 40 [35840/47500]	Loss: 0.0976	LR: 0.000800
Training Epoch: 40 [36096/47500]	Loss: 0.0884	LR: 0.000800
Training Epoch: 40 [36352/47500]	Loss: 0.1232	LR: 0.000800
Training Epoch: 40 [36608/47500]	Loss: 0.1539	LR: 0.000800
Training Epoch: 40 [36864/47500]	Loss: 0.0916	LR: 0.000800
Training Epoch: 40 [37120/47500]	Loss: 0.0808	LR: 0.000800
Training Epoch: 40 [37376/47500]	Loss: 0.1051	LR: 0.000800
Training Epoch: 40 [37632/47500]	Loss: 0.1708	LR: 0.000800
Training Epoch: 40 [37888/47500]	Loss: 0.1426	LR: 0.000800
Training Epoch: 40 [38144/47500]	Loss: 0.1078	LR: 0.000800
Training Epoch: 40 [38400/47500]	Loss: 0.1371	LR: 0.000800
Training Epoch: 40 [38656/47500]	Loss: 0.1249	LR: 0.000800
Training Epoch: 40 [38912/47500]	Loss: 0.1224	LR: 0.000800
Training Epoch: 40 [39168/47500]	Loss: 0.1278	LR: 0.000800
Training Epoch: 40 [39424/47500]	Loss: 0.1144	LR: 0.000800
Training Epoch: 40 [39680/47500]	Loss: 0.1264	LR: 0.000800
Training Epoch: 40 [39936/47500]	Loss: 0.1064	LR: 0.000800
Training Epoch: 40 [40192/47500]	Loss: 0.1018	LR: 0.000800
Training Epoch: 40 [40448/47500]	Loss: 0.1180	LR: 0.000800
Training Epoch: 40 [40704/47500]	Loss: 0.1074	LR: 0.000800
Training Epoch: 40 [40960/47500]	Loss: 0.1545	LR: 0.000800
Training Epoch: 40 [41216/47500]	Loss: 0.1076	LR: 0.000800
Training Epoch: 40 [41472/47500]	Loss: 0.1428	LR: 0.000800
Training Epoch: 40 [41728/47500]	Loss: 0.1144	LR: 0.000800
Training Epoch: 40 [41984/47500]	Loss: 0.0919	LR: 0.000800
Training Epoch: 40 [42240/47500]	Loss: 0.0892	LR: 0.000800
Training Epoch: 40 [42496/47500]	Loss: 0.0904	LR: 0.000800
Training Epoch: 40 [42752/47500]	Loss: 0.1315	LR: 0.000800
Training Epoch: 40 [43008/47500]	Loss: 0.0794	LR: 0.000800
Training Epoch: 40 [43264/47500]	Loss: 0.0646	LR: 0.000800
Training Epoch: 40 [43520/47500]	Loss: 0.1121	LR: 0.000800
Training Epoch: 40 [43776/47500]	Loss: 0.1135	LR: 0.000800
Training Epoch: 40 [44032/47500]	Loss: 0.0686	LR: 0.000800
Training Epoch: 40 [44288/47500]	Loss: 0.0939	LR: 0.000800
Training Epoch: 40 [44544/47500]	Loss: 0.0870	LR: 0.000800
Training Epoch: 40 [44800/47500]	Loss: 0.0821	LR: 0.000800
Training Epoch: 40 [45056/47500]	Loss: 0.1343	LR: 0.000800
Training Epoch: 40 [45312/47500]	Loss: 0.0872	LR: 0.000800
Training Epoch: 40 [45568/47500]	Loss: 0.0593	LR: 0.000800
Training Epoch: 40 [45824/47500]	Loss: 0.0990	LR: 0.000800
Training Epoch: 40 [46080/47500]	Loss: 0.0983	LR: 0.000800
Training Epoch: 40 [46336/47500]	Loss: 0.1122	LR: 0.000800
Training Epoch: 40 [46592/47500]	Loss: 0.1439	LR: 0.000800
Training Epoch: 40 [46848/47500]	Loss: 0.1035	LR: 0.000800
Training Epoch: 40 [47104/47500]	Loss: 0.1473	LR: 0.000800
Training Epoch: 40 [47360/47500]	Loss: 0.0931	LR: 0.000800
Training Epoch: 40 [47500/47500]	Loss: 0.0930	LR: 0.000800
Epoch 40 - Average Train Loss: 0.1083, Train Accuracy: 0.9684
Epoch 40 training time consumed: 28.41s
Evaluating Network.....
Test set: Epoch: 40, Average loss: 0.0028, Accuracy: 0.8116, 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: 81.015625
Retain Accuracy: 97.44695281982422
Zero-Retain Forget (ZRF): 0.9037058353424072
Membership Inference Attack (MIA): 0.5896
Forget vs Retain Membership Inference Attack (MIA): 0.582
Forget vs Test Membership Inference Attack (MIA): 0.532
Test vs Retain Membership Inference Attack (MIA): 0.58475
Train vs Test Membership Inference Attack (MIA): 0.609
Forget Set Accuracy (Df): 79.6875
Method Execution Time: 2133.02 seconds
