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

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

📊 Updated class distribution:
Retain set:
  Class 0: 475
  Class 1: 475
  Class 2: 475
  Class 3: 475
  Class 4: 475
  Class 5: 475
  Class 6: 475
  Class 7: 475
  Class 8: 475
  Class 9: 475
  Class 10: 475
  Class 11: 475
  Class 12: 475
  Class 13: 475
  Class 14: 475
  Class 15: 475
  Class 16: 475
  Class 17: 475
  Class 18: 475
  Class 19: 475
  Class 20: 475
  Class 21: 475
  Class 22: 475
  Class 23: 475
  Class 24: 475
  Class 25: 475
  Class 26: 475
  Class 27: 475
  Class 28: 475
  Class 29: 475
  Class 30: 475
  Class 31: 475
  Class 32: 475
  Class 33: 475
  Class 34: 475
  Class 35: 475
  Class 36: 475
  Class 37: 475
  Class 38: 475
  Class 39: 475
  Class 40: 475
  Class 41: 475
  Class 42: 475
  Class 43: 475
  Class 44: 475
  Class 45: 475
  Class 46: 475
  Class 47: 475
  Class 48: 475
  Class 49: 475
  Class 50: 475
  Class 51: 475
  Class 52: 475
  Class 53: 475
  Class 54: 475
  Class 55: 475
  Class 56: 475
  Class 57: 475
  Class 58: 475
  Class 59: 475
  Class 60: 475
  Class 61: 475
  Class 62: 475
  Class 63: 475
  Class 64: 475
  Class 65: 475
  Class 66: 475
  Class 67: 475
  Class 68: 475
  Class 69: 475
  Class 70: 475
  Class 71: 475
  Class 72: 475
  Class 73: 475
  Class 74: 475
  Class 75: 475
  Class 76: 475
  Class 77: 475
  Class 78: 475
  Class 79: 475
  Class 80: 475
  Class 81: 475
  Class 82: 475
  Class 83: 475
  Class 84: 475
  Class 85: 475
  Class 86: 475
  Class 87: 475
  Class 88: 475
  Class 89: 475
  Class 90: 475
  Class 91: 475
  Class 92: 475
  Class 93: 475
  Class 94: 475
  Class 95: 475
  Class 96: 475
  Class 97: 475
  Class 98: 475
  Class 99: 475
Forget set:
  Class 0: 25
  Class 1: 25
  Class 2: 25
  Class 3: 25
  Class 4: 25
  Class 5: 25
  Class 6: 25
  Class 7: 25
  Class 8: 25
  Class 9: 25
  Class 10: 25
  Class 11: 25
  Class 12: 25
  Class 13: 25
  Class 14: 25
  Class 15: 25
  Class 16: 25
  Class 17: 25
  Class 18: 25
  Class 19: 25
  Class 20: 25
  Class 21: 25
  Class 22: 25
  Class 23: 25
  Class 24: 25
  Class 25: 25
  Class 26: 25
  Class 27: 25
  Class 28: 25
  Class 29: 25
  Class 30: 25
  Class 31: 25
  Class 32: 25
  Class 33: 25
  Class 34: 25
  Class 35: 25
  Class 36: 25
  Class 37: 25
  Class 38: 25
  Class 39: 25
  Class 40: 25
  Class 41: 25
  Class 42: 25
  Class 43: 25
  Class 44: 25
  Class 45: 25
  Class 46: 25
  Class 47: 25
  Class 48: 25
  Class 49: 25
  Class 50: 25
  Class 51: 25
  Class 52: 25
  Class 53: 25
  Class 54: 25
  Class 55: 25
  Class 56: 25
  Class 57: 25
  Class 58: 25
  Class 59: 25
  Class 60: 25
  Class 61: 25
  Class 62: 25
  Class 63: 25
  Class 64: 25
  Class 65: 25
  Class 66: 25
  Class 67: 25
  Class 68: 25
  Class 69: 25
  Class 70: 25
  Class 71: 25
  Class 72: 25
  Class 73: 25
  Class 74: 25
  Class 75: 25
  Class 76: 25
  Class 77: 25
  Class 78: 25
  Class 79: 25
  Class 80: 25
  Class 81: 25
  Class 82: 25
  Class 83: 25
  Class 84: 25
  Class 85: 25
  Class 86: 25
  Class 87: 25
  Class 88: 25
  Class 89: 25
  Class 90: 25
  Class 91: 25
  Class 92: 25
  Class 93: 25
  Class 94: 25
  Class 95: 25
  Class 96: 25
  Class 97: 25
  Class 98: 25
  Class 99: 25
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/47500]	Loss: 3.0666	LR: 0.000000
Training Epoch: 1 [512/47500]	Loss: 3.0938	LR: 0.000538
Training Epoch: 1 [768/47500]	Loss: 3.0811	LR: 0.001075
Training Epoch: 1 [1024/47500]	Loss: 3.0413	LR: 0.001613
Training Epoch: 1 [1280/47500]	Loss: 3.0760	LR: 0.002151
Training Epoch: 1 [1536/47500]	Loss: 2.9839	LR: 0.002688
Training Epoch: 1 [1792/47500]	Loss: 2.9879	LR: 0.003226
Training Epoch: 1 [2048/47500]	Loss: 2.9589	LR: 0.003763
Training Epoch: 1 [2304/47500]	Loss: 2.8975	LR: 0.004301
Training Epoch: 1 [2560/47500]	Loss: 2.8920	LR: 0.004839
Training Epoch: 1 [2816/47500]	Loss: 2.8957	LR: 0.005376
Training Epoch: 1 [3072/47500]	Loss: 2.9298	LR: 0.005914
Training Epoch: 1 [3328/47500]	Loss: 2.8928	LR: 0.006452
Training Epoch: 1 [3584/47500]	Loss: 2.8635	LR: 0.006989
Training Epoch: 1 [3840/47500]	Loss: 2.8432	LR: 0.007527
Training Epoch: 1 [4096/47500]	Loss: 2.9055	LR: 0.008065
Training Epoch: 1 [4352/47500]	Loss: 2.7792	LR: 0.008602
Training Epoch: 1 [4608/47500]	Loss: 2.8234	LR: 0.009140
Training Epoch: 1 [4864/47500]	Loss: 2.8419	LR: 0.009677
Training Epoch: 1 [5120/47500]	Loss: 2.8267	LR: 0.010215
Training Epoch: 1 [5376/47500]	Loss: 2.8559	LR: 0.010753
Training Epoch: 1 [5632/47500]	Loss: 2.7559	LR: 0.011290
Training Epoch: 1 [5888/47500]	Loss: 2.7423	LR: 0.011828
Training Epoch: 1 [6144/47500]	Loss: 2.5612	LR: 0.012366
Training Epoch: 1 [6400/47500]	Loss: 2.6618	LR: 0.012903
Training Epoch: 1 [6656/47500]	Loss: 2.6831	LR: 0.013441
Training Epoch: 1 [6912/47500]	Loss: 2.7332	LR: 0.013978
Training Epoch: 1 [7168/47500]	Loss: 2.6722	LR: 0.014516
Training Epoch: 1 [7424/47500]	Loss: 2.8028	LR: 0.015054
Training Epoch: 1 [7680/47500]	Loss: 2.6231	LR: 0.015591
Training Epoch: 1 [7936/47500]	Loss: 2.5635	LR: 0.016129
Training Epoch: 1 [8192/47500]	Loss: 2.5112	LR: 0.016667
Training Epoch: 1 [8448/47500]	Loss: 2.5812	LR: 0.017204
Training Epoch: 1 [8704/47500]	Loss: 2.5399	LR: 0.017742
Training Epoch: 1 [8960/47500]	Loss: 2.7182	LR: 0.018280
Training Epoch: 1 [9216/47500]	Loss: 2.7588	LR: 0.018817
Training Epoch: 1 [9472/47500]	Loss: 2.7376	LR: 0.019355
Training Epoch: 1 [9728/47500]	Loss: 2.6376	LR: 0.019892
Training Epoch: 1 [9984/47500]	Loss: 2.5621	LR: 0.020430
Training Epoch: 1 [10240/47500]	Loss: 2.5769	LR: 0.020968
Training Epoch: 1 [10496/47500]	Loss: 2.6133	LR: 0.021505
Training Epoch: 1 [10752/47500]	Loss: 2.6753	LR: 0.022043
Training Epoch: 1 [11008/47500]	Loss: 2.5487	LR: 0.022581
Training Epoch: 1 [11264/47500]	Loss: 2.6291	LR: 0.023118
Training Epoch: 1 [11520/47500]	Loss: 2.5795	LR: 0.023656
Training Epoch: 1 [11776/47500]	Loss: 2.5173	LR: 0.024194
Training Epoch: 1 [12032/47500]	Loss: 2.6250	LR: 0.024731
Training Epoch: 1 [12288/47500]	Loss: 2.6065	LR: 0.025269
Training Epoch: 1 [12544/47500]	Loss: 2.6553	LR: 0.025806
Training Epoch: 1 [12800/47500]	Loss: 2.8314	LR: 0.026344
Training Epoch: 1 [13056/47500]	Loss: 2.4892	LR: 0.026882
Training Epoch: 1 [13312/47500]	Loss: 2.6172	LR: 0.027419
Training Epoch: 1 [13568/47500]	Loss: 2.6054	LR: 0.027957
Training Epoch: 1 [13824/47500]	Loss: 2.5806	LR: 0.028495
Training Epoch: 1 [14080/47500]	Loss: 2.6397	LR: 0.029032
Training Epoch: 1 [14336/47500]	Loss: 2.5149	LR: 0.029570
Training Epoch: 1 [14592/47500]	Loss: 2.5869	LR: 0.030108
Training Epoch: 1 [14848/47500]	Loss: 2.4828	LR: 0.030645
Training Epoch: 1 [15104/47500]	Loss: 2.5645	LR: 0.031183
Training Epoch: 1 [15360/47500]	Loss: 2.5441	LR: 0.031720
Training Epoch: 1 [15616/47500]	Loss: 2.4304	LR: 0.032258
Training Epoch: 1 [15872/47500]	Loss: 2.6315	LR: 0.032796
Training Epoch: 1 [16128/47500]	Loss: 2.4559	LR: 0.033333
Training Epoch: 1 [16384/47500]	Loss: 2.4554	LR: 0.033871
Training Epoch: 1 [16640/47500]	Loss: 2.5620	LR: 0.034409
Training Epoch: 1 [16896/47500]	Loss: 2.6971	LR: 0.034946
Training Epoch: 1 [17152/47500]	Loss: 2.5178	LR: 0.035484
Training Epoch: 1 [17408/47500]	Loss: 2.4399	LR: 0.036022
Training Epoch: 1 [17664/47500]	Loss: 2.5256	LR: 0.036559
Training Epoch: 1 [17920/47500]	Loss: 2.4777	LR: 0.037097
Training Epoch: 1 [18176/47500]	Loss: 2.6368	LR: 0.037634
Training Epoch: 1 [18432/47500]	Loss: 2.3937	LR: 0.038172
Training Epoch: 1 [18688/47500]	Loss: 2.5322	LR: 0.038710
Training Epoch: 1 [18944/47500]	Loss: 2.5736	LR: 0.039247
Training Epoch: 1 [19200/47500]	Loss: 2.5866	LR: 0.039785
Training Epoch: 1 [19456/47500]	Loss: 2.6219	LR: 0.040323
Training Epoch: 1 [19712/47500]	Loss: 2.5246	LR: 0.040860
Training Epoch: 1 [19968/47500]	Loss: 2.4997	LR: 0.041398
Training Epoch: 1 [20224/47500]	Loss: 2.4944	LR: 0.041935
Training Epoch: 1 [20480/47500]	Loss: 2.5015	LR: 0.042473
Training Epoch: 1 [20736/47500]	Loss: 2.6295	LR: 0.043011
Training Epoch: 1 [20992/47500]	Loss: 2.5144	LR: 0.043548
Training Epoch: 1 [21248/47500]	Loss: 2.5517	LR: 0.044086
Training Epoch: 1 [21504/47500]	Loss: 2.4772	LR: 0.044624
Training Epoch: 1 [21760/47500]	Loss: 2.5762	LR: 0.045161
Training Epoch: 1 [22016/47500]	Loss: 2.4287	LR: 0.045699
Training Epoch: 1 [22272/47500]	Loss: 2.5785	LR: 0.046237
Training Epoch: 1 [22528/47500]	Loss: 2.3385	LR: 0.046774
Training Epoch: 1 [22784/47500]	Loss: 2.3911	LR: 0.047312
Training Epoch: 1 [23040/47500]	Loss: 2.5918	LR: 0.047849
Training Epoch: 1 [23296/47500]	Loss: 2.5780	LR: 0.048387
Training Epoch: 1 [23552/47500]	Loss: 2.4856	LR: 0.048925
Training Epoch: 1 [23808/47500]	Loss: 2.4541	LR: 0.049462
Training Epoch: 1 [24064/47500]	Loss: 2.5009	LR: 0.050000
Training Epoch: 1 [24320/47500]	Loss: 2.4155	LR: 0.050538
Training Epoch: 1 [24576/47500]	Loss: 2.4690	LR: 0.051075
Training Epoch: 1 [24832/47500]	Loss: 2.4179	LR: 0.051613
Training Epoch: 1 [25088/47500]	Loss: 2.4088	LR: 0.052151
Training Epoch: 1 [25344/47500]	Loss: 2.6063	LR: 0.052688
Training Epoch: 1 [25600/47500]	Loss: 2.5072	LR: 0.053226
Training Epoch: 1 [25856/47500]	Loss: 2.4353	LR: 0.053763
Training Epoch: 1 [26112/47500]	Loss: 2.4710	LR: 0.054301
Training Epoch: 1 [26368/47500]	Loss: 2.4616	LR: 0.054839
Training Epoch: 1 [26624/47500]	Loss: 2.3586	LR: 0.055376
Training Epoch: 1 [26880/47500]	Loss: 2.3811	LR: 0.055914
Training Epoch: 1 [27136/47500]	Loss: 2.3665	LR: 0.056452
Training Epoch: 1 [27392/47500]	Loss: 2.6050	LR: 0.056989
Training Epoch: 1 [27648/47500]	Loss: 2.6086	LR: 0.057527
Training Epoch: 1 [27904/47500]	Loss: 2.5085	LR: 0.058065
Training Epoch: 1 [28160/47500]	Loss: 2.4237	LR: 0.058602
Training Epoch: 1 [28416/47500]	Loss: 2.4885	LR: 0.059140
Training Epoch: 1 [28672/47500]	Loss: 2.5070	LR: 0.059677
Training Epoch: 1 [28928/47500]	Loss: 2.4773	LR: 0.060215
Training Epoch: 1 [29184/47500]	Loss: 2.4632	LR: 0.060753
Training Epoch: 1 [29440/47500]	Loss: 2.4334	LR: 0.061290
Training Epoch: 1 [29696/47500]	Loss: 2.4381	LR: 0.061828
Training Epoch: 1 [29952/47500]	Loss: 2.4160	LR: 0.062366
Training Epoch: 1 [30208/47500]	Loss: 2.2802	LR: 0.062903
Training Epoch: 1 [30464/47500]	Loss: 2.3254	LR: 0.063441
Training Epoch: 1 [30720/47500]	Loss: 2.5212	LR: 0.063978
Training Epoch: 1 [30976/47500]	Loss: 2.5016	LR: 0.064516
Training Epoch: 1 [31232/47500]	Loss: 2.3378	LR: 0.065054
Training Epoch: 1 [31488/47500]	Loss: 2.3847	LR: 0.065591
Training Epoch: 1 [31744/47500]	Loss: 2.4033	LR: 0.066129
Training Epoch: 1 [32000/47500]	Loss: 2.5088	LR: 0.066667
Training Epoch: 1 [32256/47500]	Loss: 2.4228	LR: 0.067204
Training Epoch: 1 [32512/47500]	Loss: 2.3932	LR: 0.067742
Training Epoch: 1 [32768/47500]	Loss: 2.3576	LR: 0.068280
Training Epoch: 1 [33024/47500]	Loss: 2.3989	LR: 0.068817
Training Epoch: 1 [33280/47500]	Loss: 2.3936	LR: 0.069355
Training Epoch: 1 [33536/47500]	Loss: 2.3105	LR: 0.069892
Training Epoch: 1 [33792/47500]	Loss: 2.3269	LR: 0.070430
Training Epoch: 1 [34048/47500]	Loss: 2.3260	LR: 0.070968
Training Epoch: 1 [34304/47500]	Loss: 2.3709	LR: 0.071505
Training Epoch: 1 [34560/47500]	Loss: 2.4554	LR: 0.072043
Training Epoch: 1 [34816/47500]	Loss: 2.3124	LR: 0.072581
Training Epoch: 1 [35072/47500]	Loss: 2.3403	LR: 0.073118
Training Epoch: 1 [35328/47500]	Loss: 2.3975	LR: 0.073656
Training Epoch: 1 [35584/47500]	Loss: 2.4310	LR: 0.074194
Training Epoch: 1 [35840/47500]	Loss: 2.3793	LR: 0.074731
Training Epoch: 1 [36096/47500]	Loss: 2.3960	LR: 0.075269
Training Epoch: 1 [36352/47500]	Loss: 2.3055	LR: 0.075806
Training Epoch: 1 [36608/47500]	Loss: 2.2544	LR: 0.076344
Training Epoch: 1 [36864/47500]	Loss: 2.5451	LR: 0.076882
Training Epoch: 1 [37120/47500]	Loss: 2.4075	LR: 0.077419
Training Epoch: 1 [37376/47500]	Loss: 2.2941	LR: 0.077957
Training Epoch: 1 [37632/47500]	Loss: 2.4538	LR: 0.078495
Training Epoch: 1 [37888/47500]	Loss: 2.3358	LR: 0.079032
Training Epoch: 1 [38144/47500]	Loss: 2.4335	LR: 0.079570
Training Epoch: 1 [38400/47500]	Loss: 2.3258	LR: 0.080108
Training Epoch: 1 [38656/47500]	Loss: 2.3142	LR: 0.080645
Training Epoch: 1 [38912/47500]	Loss: 2.3213	LR: 0.081183
Training Epoch: 1 [39168/47500]	Loss: 2.4835	LR: 0.081720
Training Epoch: 1 [39424/47500]	Loss: 2.3689	LR: 0.082258
Training Epoch: 1 [39680/47500]	Loss: 2.4217	LR: 0.082796
Training Epoch: 1 [39936/47500]	Loss: 2.3951	LR: 0.083333
Training Epoch: 1 [40192/47500]	Loss: 2.4976	LR: 0.083871
Training Epoch: 1 [40448/47500]	Loss: 2.2751	LR: 0.084409
Training Epoch: 1 [40704/47500]	Loss: 2.2610	LR: 0.084946
Training Epoch: 1 [40960/47500]	Loss: 2.3117	LR: 0.085484
Training Epoch: 1 [41216/47500]	Loss: 2.3296	LR: 0.086022
Training Epoch: 1 [41472/47500]	Loss: 2.3827	LR: 0.086559
Training Epoch: 1 [41728/47500]	Loss: 2.4839	LR: 0.087097
Training Epoch: 1 [41984/47500]	Loss: 2.3691	LR: 0.087634
Training Epoch: 1 [42240/47500]	Loss: 2.4537	LR: 0.088172
Training Epoch: 1 [42496/47500]	Loss: 2.3233	LR: 0.088710
Training Epoch: 1 [42752/47500]	Loss: 2.3442	LR: 0.089247
Training Epoch: 1 [43008/47500]	Loss: 2.3226	LR: 0.089785
Training Epoch: 1 [43264/47500]	Loss: 2.3916	LR: 0.090323
Training Epoch: 1 [43520/47500]	Loss: 2.2095	LR: 0.090860
Training Epoch: 1 [43776/47500]	Loss: 2.2230	LR: 0.091398
Training Epoch: 1 [44032/47500]	Loss: 2.3814	LR: 0.091935
Training Epoch: 1 [44288/47500]	Loss: 2.4620	LR: 0.092473
Training Epoch: 1 [44544/47500]	Loss: 2.3155	LR: 0.093011
Training Epoch: 1 [44800/47500]	Loss: 2.2305	LR: 0.093548
Training Epoch: 1 [45056/47500]	Loss: 2.3103	LR: 0.094086
Training Epoch: 1 [45312/47500]	Loss: 2.3278	LR: 0.094624
Training Epoch: 1 [45568/47500]	Loss: 2.3237	LR: 0.095161
Training Epoch: 1 [45824/47500]	Loss: 2.2970	LR: 0.095699
Training Epoch: 1 [46080/47500]	Loss: 2.4392	LR: 0.096237
Training Epoch: 1 [46336/47500]	Loss: 2.3405	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 2.4199	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 2.2942	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 2.3576	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 2.4958	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 2.3663	LR: 0.099462
Epoch 1 - Average Train Loss: 2.5255, Train Accuracy: 0.2225
Epoch 1 training time consumed: 28.92s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0130, Accuracy: 0.2063, Time consumed:1.06s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_21h_10m_36s/ResNet18-Cifar20-seed7-ret50-1-best.pth
Training Epoch: 2 [256/47500]	Loss: 2.3443	LR: 0.100000
Training Epoch: 2 [512/47500]	Loss: 2.3205	LR: 0.100000
Training Epoch: 2 [768/47500]	Loss: 2.3649	LR: 0.100000
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Epoch 2 - Average Train Loss: 2.1541, Train Accuracy: 0.3294
Epoch 2 training time consumed: 28.33s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0090, Accuracy: 0.3133, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_21h_10m_36s/ResNet18-Cifar20-seed7-ret50-2-best.pth
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Training Epoch: 3 [47500/47500]	Loss: 1.7204	LR: 0.100000
Epoch 3 - Average Train Loss: 1.9106, Train Accuracy: 0.4007
Epoch 3 training time consumed: 28.50s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0074, Accuracy: 0.4160, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_21h_10m_36s/ResNet18-Cifar20-seed7-ret50-3-best.pth
Training Epoch: 4 [256/47500]	Loss: 1.7506	LR: 0.100000
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Epoch 4 - Average Train Loss: 1.7019, Train Accuracy: 0.4639
Epoch 4 training time consumed: 28.38s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0072, Accuracy: 0.4503, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_21h_10m_36s/ResNet18-Cifar20-seed7-ret50-4-best.pth
Training Epoch: 5 [256/47500]	Loss: 1.5866	LR: 0.100000
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Epoch 5 - Average Train Loss: 1.5248, Train Accuracy: 0.5151
Epoch 5 training time consumed: 28.52s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0062, Accuracy: 0.5103, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_21h_10m_36s/ResNet18-Cifar20-seed7-ret50-5-best.pth
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Training Epoch: 6 [47500/47500]	Loss: 1.1291	LR: 0.100000
Epoch 6 - Average Train Loss: 1.3923, Train Accuracy: 0.5550
Epoch 6 training time consumed: 28.43s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0076, Accuracy: 0.4812, Time consumed:0.88s
Training Epoch: 7 [256/47500]	Loss: 1.2141	LR: 0.100000
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Training Epoch: 7 [47500/47500]	Loss: 1.2075	LR: 0.100000
Epoch 7 - Average Train Loss: 1.2808, Train Accuracy: 0.5876
Epoch 7 training time consumed: 28.32s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0051, Accuracy: 0.5944, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_21h_10m_36s/ResNet18-Cifar20-seed7-ret50-7-best.pth
Training Epoch: 8 [256/47500]	Loss: 1.1073	LR: 0.100000
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Epoch 8 - Average Train Loss: 1.1834, Train Accuracy: 0.6186
Epoch 8 training time consumed: 28.35s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0051, Accuracy: 0.5947, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_21h_10m_36s/ResNet18-Cifar20-seed7-ret50-8-best.pth
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Training Epoch: 9 [45056/47500]	Loss: 1.0823	LR: 0.100000
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Training Epoch: 9 [47360/47500]	Loss: 0.9610	LR: 0.100000
Training Epoch: 9 [47500/47500]	Loss: 1.1551	LR: 0.100000
Epoch 9 - Average Train Loss: 1.1175, Train Accuracy: 0.6383
Epoch 9 training time consumed: 28.53s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0049, Accuracy: 0.6115, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_21h_10m_36s/ResNet18-Cifar20-seed7-ret50-9-best.pth
Training Epoch: 10 [256/47500]	Loss: 0.9798	LR: 0.100000
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Training Epoch: 10 [47500/47500]	Loss: 1.1052	LR: 0.100000
Epoch 10 - Average Train Loss: 1.0510, Train Accuracy: 0.6595
Epoch 10 training time consumed: 28.54s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0043, Accuracy: 0.6614, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_21h_10m_36s/ResNet18-Cifar20-seed7-ret50-10-best.pth
Training Epoch: 11 [256/47500]	Loss: 0.9559	LR: 0.100000
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Training Epoch: 11 [24576/47500]	Loss: 1.0811	LR: 0.100000
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Training Epoch: 11 [25088/47500]	Loss: 0.8979	LR: 0.100000
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Training Epoch: 11 [28160/47500]	Loss: 1.0095	LR: 0.100000
Training Epoch: 11 [28416/47500]	Loss: 0.9619	LR: 0.100000
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Training Epoch: 11 [28928/47500]	Loss: 1.2128	LR: 0.100000
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Training Epoch: 11 [29440/47500]	Loss: 0.9311	LR: 0.100000
Training Epoch: 11 [29696/47500]	Loss: 1.0407	LR: 0.100000
Training Epoch: 11 [29952/47500]	Loss: 1.0298	LR: 0.100000
Training Epoch: 11 [30208/47500]	Loss: 1.0631	LR: 0.100000
Training Epoch: 11 [30464/47500]	Loss: 1.1061	LR: 0.100000
Training Epoch: 11 [30720/47500]	Loss: 1.0278	LR: 0.100000
Training Epoch: 11 [30976/47500]	Loss: 1.0919	LR: 0.100000
Training Epoch: 11 [31232/47500]	Loss: 0.9644	LR: 0.100000
Training Epoch: 11 [31488/47500]	Loss: 1.0038	LR: 0.100000
Training Epoch: 11 [31744/47500]	Loss: 1.0156	LR: 0.100000
Training Epoch: 11 [32000/47500]	Loss: 1.1182	LR: 0.100000
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Training Epoch: 11 [32512/47500]	Loss: 1.0329	LR: 0.100000
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Training Epoch: 11 [39168/47500]	Loss: 0.8613	LR: 0.100000
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Training Epoch: 11 [40448/47500]	Loss: 1.0511	LR: 0.100000
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Training Epoch: 11 [41472/47500]	Loss: 1.0453	LR: 0.100000
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Training Epoch: 11 [42496/47500]	Loss: 0.8290	LR: 0.100000
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Training Epoch: 11 [43008/47500]	Loss: 0.9908	LR: 0.100000
Training Epoch: 11 [43264/47500]	Loss: 0.9180	LR: 0.100000
Training Epoch: 11 [43520/47500]	Loss: 0.9324	LR: 0.100000
Training Epoch: 11 [43776/47500]	Loss: 1.0491	LR: 0.100000
Training Epoch: 11 [44032/47500]	Loss: 1.0521	LR: 0.100000
Training Epoch: 11 [44288/47500]	Loss: 0.9734	LR: 0.100000
Training Epoch: 11 [44544/47500]	Loss: 0.9579	LR: 0.100000
Training Epoch: 11 [44800/47500]	Loss: 0.9531	LR: 0.100000
Training Epoch: 11 [45056/47500]	Loss: 0.9116	LR: 0.100000
Training Epoch: 11 [45312/47500]	Loss: 1.0401	LR: 0.100000
Training Epoch: 11 [45568/47500]	Loss: 1.1150	LR: 0.100000
Training Epoch: 11 [45824/47500]	Loss: 0.8503	LR: 0.100000
Training Epoch: 11 [46080/47500]	Loss: 1.0056	LR: 0.100000
Training Epoch: 11 [46336/47500]	Loss: 0.9540	LR: 0.100000
Training Epoch: 11 [46592/47500]	Loss: 0.8612	LR: 0.100000
Training Epoch: 11 [46848/47500]	Loss: 1.0673	LR: 0.100000
Training Epoch: 11 [47104/47500]	Loss: 0.9025	LR: 0.100000
Training Epoch: 11 [47360/47500]	Loss: 0.9483	LR: 0.100000
Training Epoch: 11 [47500/47500]	Loss: 0.9937	LR: 0.100000
Epoch 11 - Average Train Loss: 0.9979, Train Accuracy: 0.6760
Epoch 11 training time consumed: 28.49s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0047, Accuracy: 0.6421, Time consumed:0.89s
Training Epoch: 12 [256/47500]	Loss: 0.8220	LR: 0.100000
Training Epoch: 12 [512/47500]	Loss: 0.9534	LR: 0.100000
Training Epoch: 12 [768/47500]	Loss: 0.8762	LR: 0.100000
Training Epoch: 12 [1024/47500]	Loss: 0.9964	LR: 0.100000
Training Epoch: 12 [1280/47500]	Loss: 0.9502	LR: 0.100000
Training Epoch: 12 [1536/47500]	Loss: 0.8897	LR: 0.100000
Training Epoch: 12 [1792/47500]	Loss: 0.8714	LR: 0.100000
Training Epoch: 12 [2048/47500]	Loss: 0.9614	LR: 0.100000
Training Epoch: 12 [2304/47500]	Loss: 0.9735	LR: 0.100000
Training Epoch: 12 [2560/47500]	Loss: 0.8654	LR: 0.100000
Training Epoch: 12 [2816/47500]	Loss: 0.9317	LR: 0.100000
Training Epoch: 12 [3072/47500]	Loss: 0.8966	LR: 0.100000
Training Epoch: 12 [3328/47500]	Loss: 0.8462	LR: 0.100000
Training Epoch: 12 [3584/47500]	Loss: 0.8632	LR: 0.100000
Training Epoch: 12 [3840/47500]	Loss: 0.9841	LR: 0.100000
Training Epoch: 12 [4096/47500]	Loss: 0.8790	LR: 0.100000
Training Epoch: 12 [4352/47500]	Loss: 0.9764	LR: 0.100000
Training Epoch: 12 [4608/47500]	Loss: 0.9196	LR: 0.100000
Training Epoch: 12 [4864/47500]	Loss: 0.8244	LR: 0.100000
Training Epoch: 12 [5120/47500]	Loss: 0.8845	LR: 0.100000
Training Epoch: 12 [5376/47500]	Loss: 0.9001	LR: 0.100000
Training Epoch: 12 [5632/47500]	Loss: 0.9892	LR: 0.100000
Training Epoch: 12 [5888/47500]	Loss: 0.8739	LR: 0.100000
Training Epoch: 12 [6144/47500]	Loss: 1.0641	LR: 0.100000
Training Epoch: 12 [6400/47500]	Loss: 0.9506	LR: 0.100000
Training Epoch: 12 [6656/47500]	Loss: 0.8689	LR: 0.100000
Training Epoch: 12 [6912/47500]	Loss: 0.9904	LR: 0.100000
Training Epoch: 12 [7168/47500]	Loss: 0.8758	LR: 0.100000
Training Epoch: 12 [7424/47500]	Loss: 0.9169	LR: 0.100000
Training Epoch: 12 [7680/47500]	Loss: 0.8671	LR: 0.100000
Training Epoch: 12 [7936/47500]	Loss: 0.9436	LR: 0.100000
Training Epoch: 12 [8192/47500]	Loss: 1.0019	LR: 0.100000
Training Epoch: 12 [8448/47500]	Loss: 0.9543	LR: 0.100000
Training Epoch: 12 [8704/47500]	Loss: 0.9768	LR: 0.100000
Training Epoch: 12 [8960/47500]	Loss: 0.9097	LR: 0.100000
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Training Epoch: 12 [9728/47500]	Loss: 1.0033	LR: 0.100000
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Training Epoch: 12 [10240/47500]	Loss: 0.9856	LR: 0.100000
Training Epoch: 12 [10496/47500]	Loss: 1.0547	LR: 0.100000
Training Epoch: 12 [10752/47500]	Loss: 0.9061	LR: 0.100000
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Training Epoch: 12 [11520/47500]	Loss: 0.9635	LR: 0.100000
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Training Epoch: 12 [12032/47500]	Loss: 0.9017	LR: 0.100000
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Training Epoch: 12 [12800/47500]	Loss: 0.9506	LR: 0.100000
Training Epoch: 12 [13056/47500]	Loss: 0.8392	LR: 0.100000
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Training Epoch: 12 [20224/47500]	Loss: 1.0164	LR: 0.100000
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Training Epoch: 12 [26880/47500]	Loss: 0.9737	LR: 0.100000
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Training Epoch: 12 [28928/47500]	Loss: 0.8937	LR: 0.100000
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Training Epoch: 12 [29440/47500]	Loss: 0.9035	LR: 0.100000
Training Epoch: 12 [29696/47500]	Loss: 0.9332	LR: 0.100000
Training Epoch: 12 [29952/47500]	Loss: 0.9878	LR: 0.100000
Training Epoch: 12 [30208/47500]	Loss: 0.9644	LR: 0.100000
Training Epoch: 12 [30464/47500]	Loss: 0.8898	LR: 0.100000
Training Epoch: 12 [30720/47500]	Loss: 0.9590	LR: 0.100000
Training Epoch: 12 [30976/47500]	Loss: 1.0628	LR: 0.100000
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Training Epoch: 12 [39168/47500]	Loss: 0.9371	LR: 0.100000
Training Epoch: 12 [39424/47500]	Loss: 0.9649	LR: 0.100000
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Training Epoch: 12 [39936/47500]	Loss: 0.9064	LR: 0.100000
Training Epoch: 12 [40192/47500]	Loss: 0.9099	LR: 0.100000
Training Epoch: 12 [40448/47500]	Loss: 1.0447	LR: 0.100000
Training Epoch: 12 [40704/47500]	Loss: 1.0784	LR: 0.100000
Training Epoch: 12 [40960/47500]	Loss: 0.9741	LR: 0.100000
Training Epoch: 12 [41216/47500]	Loss: 1.0500	LR: 0.100000
Training Epoch: 12 [41472/47500]	Loss: 0.9528	LR: 0.100000
Training Epoch: 12 [41728/47500]	Loss: 0.9358	LR: 0.100000
Training Epoch: 12 [41984/47500]	Loss: 0.9056	LR: 0.100000
Training Epoch: 12 [42240/47500]	Loss: 0.9046	LR: 0.100000
Training Epoch: 12 [42496/47500]	Loss: 0.9571	LR: 0.100000
Training Epoch: 12 [42752/47500]	Loss: 0.9452	LR: 0.100000
Training Epoch: 12 [43008/47500]	Loss: 0.9644	LR: 0.100000
Training Epoch: 12 [43264/47500]	Loss: 0.9896	LR: 0.100000
Training Epoch: 12 [43520/47500]	Loss: 1.0418	LR: 0.100000
Training Epoch: 12 [43776/47500]	Loss: 0.8928	LR: 0.100000
Training Epoch: 12 [44032/47500]	Loss: 0.8686	LR: 0.100000
Training Epoch: 12 [44288/47500]	Loss: 0.8569	LR: 0.100000
Training Epoch: 12 [44544/47500]	Loss: 1.0839	LR: 0.100000
Training Epoch: 12 [44800/47500]	Loss: 0.7994	LR: 0.100000
Training Epoch: 12 [45056/47500]	Loss: 1.0096	LR: 0.100000
Training Epoch: 12 [45312/47500]	Loss: 0.9904	LR: 0.100000
Training Epoch: 12 [45568/47500]	Loss: 0.9275	LR: 0.100000
Training Epoch: 12 [45824/47500]	Loss: 0.9349	LR: 0.100000
Training Epoch: 12 [46080/47500]	Loss: 1.0301	LR: 0.100000
Training Epoch: 12 [46336/47500]	Loss: 0.8491	LR: 0.100000
Training Epoch: 12 [46592/47500]	Loss: 1.0309	LR: 0.100000
Training Epoch: 12 [46848/47500]	Loss: 0.9961	LR: 0.100000
Training Epoch: 12 [47104/47500]	Loss: 0.9590	LR: 0.100000
Training Epoch: 12 [47360/47500]	Loss: 0.9665	LR: 0.100000
Training Epoch: 12 [47500/47500]	Loss: 1.1319	LR: 0.100000
Epoch 12 - Average Train Loss: 0.9539, Train Accuracy: 0.6926
Epoch 12 training time consumed: 28.29s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0044, Accuracy: 0.6476, Time consumed:0.96s
Training Epoch: 13 [256/47500]	Loss: 1.0229	LR: 0.100000
Training Epoch: 13 [512/47500]	Loss: 0.7336	LR: 0.100000
Training Epoch: 13 [768/47500]	Loss: 0.8594	LR: 0.100000
Training Epoch: 13 [1024/47500]	Loss: 0.9668	LR: 0.100000
Training Epoch: 13 [1280/47500]	Loss: 0.7767	LR: 0.100000
Training Epoch: 13 [1536/47500]	Loss: 0.8303	LR: 0.100000
Training Epoch: 13 [1792/47500]	Loss: 0.9535	LR: 0.100000
Training Epoch: 13 [2048/47500]	Loss: 0.9245	LR: 0.100000
Training Epoch: 13 [2304/47500]	Loss: 1.0405	LR: 0.100000
Training Epoch: 13 [2560/47500]	Loss: 0.9578	LR: 0.100000
Training Epoch: 13 [2816/47500]	Loss: 0.9918	LR: 0.100000
Training Epoch: 13 [3072/47500]	Loss: 0.8779	LR: 0.100000
Training Epoch: 13 [3328/47500]	Loss: 0.9669	LR: 0.100000
Training Epoch: 13 [3584/47500]	Loss: 1.0269	LR: 0.100000
Training Epoch: 13 [3840/47500]	Loss: 0.9590	LR: 0.100000
Training Epoch: 13 [4096/47500]	Loss: 0.9845	LR: 0.100000
Training Epoch: 13 [4352/47500]	Loss: 0.9845	LR: 0.100000
Training Epoch: 13 [4608/47500]	Loss: 0.9034	LR: 0.100000
Training Epoch: 13 [4864/47500]	Loss: 0.9579	LR: 0.100000
Training Epoch: 13 [5120/47500]	Loss: 0.7788	LR: 0.100000
Training Epoch: 13 [5376/47500]	Loss: 0.9648	LR: 0.100000
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Training Epoch: 13 [19968/47500]	Loss: 1.0094	LR: 0.100000
Training Epoch: 13 [20224/47500]	Loss: 0.9321	LR: 0.100000
Training Epoch: 13 [20480/47500]	Loss: 1.0304	LR: 0.100000
Training Epoch: 13 [20736/47500]	Loss: 0.9607	LR: 0.100000
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Training Epoch: 13 [22016/47500]	Loss: 0.9627	LR: 0.100000
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Training Epoch: 13 [23552/47500]	Loss: 0.9411	LR: 0.100000
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Training Epoch: 13 [30464/47500]	Loss: 0.8703	LR: 0.100000
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Training Epoch: 13 [31232/47500]	Loss: 0.8239	LR: 0.100000
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Training Epoch: 13 [31744/47500]	Loss: 0.8733	LR: 0.100000
Training Epoch: 13 [32000/47500]	Loss: 0.8569	LR: 0.100000
Training Epoch: 13 [32256/47500]	Loss: 0.9286	LR: 0.100000
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Training Epoch: 13 [34816/47500]	Loss: 1.0439	LR: 0.100000
Training Epoch: 13 [35072/47500]	Loss: 1.0290	LR: 0.100000
Training Epoch: 13 [35328/47500]	Loss: 0.9867	LR: 0.100000
Training Epoch: 13 [35584/47500]	Loss: 0.8452	LR: 0.100000
Training Epoch: 13 [35840/47500]	Loss: 1.0167	LR: 0.100000
Training Epoch: 13 [36096/47500]	Loss: 0.9494	LR: 0.100000
Training Epoch: 13 [36352/47500]	Loss: 1.0128	LR: 0.100000
Training Epoch: 13 [36608/47500]	Loss: 0.9719	LR: 0.100000
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Training Epoch: 13 [37376/47500]	Loss: 0.9484	LR: 0.100000
Training Epoch: 13 [37632/47500]	Loss: 0.9170	LR: 0.100000
Training Epoch: 13 [37888/47500]	Loss: 0.9031	LR: 0.100000
Training Epoch: 13 [38144/47500]	Loss: 1.0039	LR: 0.100000
Training Epoch: 13 [38400/47500]	Loss: 0.9585	LR: 0.100000
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Training Epoch: 13 [39168/47500]	Loss: 0.9827	LR: 0.100000
Training Epoch: 13 [39424/47500]	Loss: 1.0142	LR: 0.100000
Training Epoch: 13 [39680/47500]	Loss: 1.0765	LR: 0.100000
Training Epoch: 13 [39936/47500]	Loss: 0.9401	LR: 0.100000
Training Epoch: 13 [40192/47500]	Loss: 0.8727	LR: 0.100000
Training Epoch: 13 [40448/47500]	Loss: 0.8654	LR: 0.100000
Training Epoch: 13 [40704/47500]	Loss: 1.0093	LR: 0.100000
Training Epoch: 13 [40960/47500]	Loss: 0.9436	LR: 0.100000
Training Epoch: 13 [41216/47500]	Loss: 0.8842	LR: 0.100000
Training Epoch: 13 [41472/47500]	Loss: 1.1861	LR: 0.100000
Training Epoch: 13 [41728/47500]	Loss: 0.8026	LR: 0.100000
Training Epoch: 13 [41984/47500]	Loss: 0.9607	LR: 0.100000
Training Epoch: 13 [42240/47500]	Loss: 1.0147	LR: 0.100000
Training Epoch: 13 [42496/47500]	Loss: 0.8959	LR: 0.100000
Training Epoch: 13 [42752/47500]	Loss: 0.9772	LR: 0.100000
Training Epoch: 13 [43008/47500]	Loss: 1.0030	LR: 0.100000
Training Epoch: 13 [43264/47500]	Loss: 0.9644	LR: 0.100000
Training Epoch: 13 [43520/47500]	Loss: 0.8481	LR: 0.100000
Training Epoch: 13 [43776/47500]	Loss: 0.8347	LR: 0.100000
Training Epoch: 13 [44032/47500]	Loss: 0.8825	LR: 0.100000
Training Epoch: 13 [44288/47500]	Loss: 0.9238	LR: 0.100000
Training Epoch: 13 [44544/47500]	Loss: 0.9638	LR: 0.100000
Training Epoch: 13 [44800/47500]	Loss: 0.8658	LR: 0.100000
Training Epoch: 13 [45056/47500]	Loss: 0.9440	LR: 0.100000
Training Epoch: 13 [45312/47500]	Loss: 1.1383	LR: 0.100000
Training Epoch: 13 [45568/47500]	Loss: 0.8388	LR: 0.100000
Training Epoch: 13 [45824/47500]	Loss: 1.0149	LR: 0.100000
Training Epoch: 13 [46080/47500]	Loss: 1.0385	LR: 0.100000
Training Epoch: 13 [46336/47500]	Loss: 1.0420	LR: 0.100000
Training Epoch: 13 [46592/47500]	Loss: 0.9647	LR: 0.100000
Training Epoch: 13 [46848/47500]	Loss: 1.0311	LR: 0.100000
Training Epoch: 13 [47104/47500]	Loss: 0.8187	LR: 0.100000
Training Epoch: 13 [47360/47500]	Loss: 1.1449	LR: 0.100000
Training Epoch: 13 [47500/47500]	Loss: 0.9274	LR: 0.100000
Epoch 13 - Average Train Loss: 0.9268, Train Accuracy: 0.7001
Epoch 13 training time consumed: 28.36s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0047, Accuracy: 0.6361, Time consumed:0.88s
Training Epoch: 14 [256/47500]	Loss: 0.8245	LR: 0.100000
Training Epoch: 14 [512/47500]	Loss: 1.0064	LR: 0.100000
Training Epoch: 14 [768/47500]	Loss: 0.9532	LR: 0.100000
Training Epoch: 14 [1024/47500]	Loss: 0.8459	LR: 0.100000
Training Epoch: 14 [1280/47500]	Loss: 0.9244	LR: 0.100000
Training Epoch: 14 [1536/47500]	Loss: 0.8553	LR: 0.100000
Training Epoch: 14 [1792/47500]	Loss: 0.8895	LR: 0.100000
Training Epoch: 14 [2048/47500]	Loss: 0.9127	LR: 0.100000
Training Epoch: 14 [2304/47500]	Loss: 0.9225	LR: 0.100000
Training Epoch: 14 [2560/47500]	Loss: 0.8598	LR: 0.100000
Training Epoch: 14 [2816/47500]	Loss: 1.0346	LR: 0.100000
Training Epoch: 14 [3072/47500]	Loss: 0.8398	LR: 0.100000
Training Epoch: 14 [3328/47500]	Loss: 0.8626	LR: 0.100000
Training Epoch: 14 [3584/47500]	Loss: 0.7695	LR: 0.100000
Training Epoch: 14 [3840/47500]	Loss: 0.7354	LR: 0.100000
Training Epoch: 14 [4096/47500]	Loss: 0.7864	LR: 0.100000
Training Epoch: 14 [4352/47500]	Loss: 0.9109	LR: 0.100000
Training Epoch: 14 [4608/47500]	Loss: 0.7626	LR: 0.100000
Training Epoch: 14 [4864/47500]	Loss: 0.8098	LR: 0.100000
Training Epoch: 14 [5120/47500]	Loss: 0.8584	LR: 0.100000
Training Epoch: 14 [5376/47500]	Loss: 0.9338	LR: 0.100000
Training Epoch: 14 [5632/47500]	Loss: 0.8336	LR: 0.100000
Training Epoch: 14 [5888/47500]	Loss: 0.9235	LR: 0.100000
Training Epoch: 14 [6144/47500]	Loss: 0.7971	LR: 0.100000
Training Epoch: 14 [6400/47500]	Loss: 0.8676	LR: 0.100000
Training Epoch: 14 [6656/47500]	Loss: 0.7737	LR: 0.100000
Training Epoch: 14 [6912/47500]	Loss: 0.7573	LR: 0.100000
Training Epoch: 14 [7168/47500]	Loss: 0.8493	LR: 0.100000
Training Epoch: 14 [7424/47500]	Loss: 0.8741	LR: 0.100000
Training Epoch: 14 [7680/47500]	Loss: 0.9845	LR: 0.100000
Training Epoch: 14 [7936/47500]	Loss: 0.7793	LR: 0.100000
Training Epoch: 14 [8192/47500]	Loss: 0.9618	LR: 0.100000
Training Epoch: 14 [8448/47500]	Loss: 0.8653	LR: 0.100000
Training Epoch: 14 [8704/47500]	Loss: 0.8466	LR: 0.100000
Training Epoch: 14 [8960/47500]	Loss: 0.7503	LR: 0.100000
Training Epoch: 14 [9216/47500]	Loss: 0.7781	LR: 0.100000
Training Epoch: 14 [9472/47500]	Loss: 0.8792	LR: 0.100000
Training Epoch: 14 [9728/47500]	Loss: 0.7854	LR: 0.100000
Training Epoch: 14 [9984/47500]	Loss: 0.9419	LR: 0.100000
Training Epoch: 14 [10240/47500]	Loss: 0.8443	LR: 0.100000
Training Epoch: 14 [10496/47500]	Loss: 0.8140	LR: 0.100000
Training Epoch: 14 [10752/47500]	Loss: 0.8389	LR: 0.100000
Training Epoch: 14 [11008/47500]	Loss: 0.8323	LR: 0.100000
Training Epoch: 14 [11264/47500]	Loss: 0.8641	LR: 0.100000
Training Epoch: 14 [11520/47500]	Loss: 0.8963	LR: 0.100000
Training Epoch: 14 [11776/47500]	Loss: 0.7600	LR: 0.100000
Training Epoch: 14 [12032/47500]	Loss: 0.9009	LR: 0.100000
Training Epoch: 14 [12288/47500]	Loss: 0.9714	LR: 0.100000
Training Epoch: 14 [12544/47500]	Loss: 0.9482	LR: 0.100000
Training Epoch: 14 [12800/47500]	Loss: 0.8499	LR: 0.100000
Training Epoch: 14 [13056/47500]	Loss: 1.0333	LR: 0.100000
Training Epoch: 14 [13312/47500]	Loss: 0.8243	LR: 0.100000
Training Epoch: 14 [13568/47500]	Loss: 0.8934	LR: 0.100000
Training Epoch: 14 [13824/47500]	Loss: 0.8105	LR: 0.100000
Training Epoch: 14 [14080/47500]	Loss: 0.9272	LR: 0.100000
Training Epoch: 14 [14336/47500]	Loss: 1.1981	LR: 0.100000
Training Epoch: 14 [14592/47500]	Loss: 1.0759	LR: 0.100000
Training Epoch: 14 [14848/47500]	Loss: 0.9267	LR: 0.100000
Training Epoch: 14 [15104/47500]	Loss: 0.8777	LR: 0.100000
Training Epoch: 14 [15360/47500]	Loss: 0.7918	LR: 0.100000
Training Epoch: 14 [15616/47500]	Loss: 0.9220	LR: 0.100000
Training Epoch: 14 [15872/47500]	Loss: 0.9923	LR: 0.100000
Training Epoch: 14 [16128/47500]	Loss: 0.9042	LR: 0.100000
Training Epoch: 14 [16384/47500]	Loss: 0.7707	LR: 0.100000
Training Epoch: 14 [16640/47500]	Loss: 0.8627	LR: 0.100000
Training Epoch: 14 [16896/47500]	Loss: 0.8153	LR: 0.100000
Training Epoch: 14 [17152/47500]	Loss: 0.9494	LR: 0.100000
Training Epoch: 14 [17408/47500]	Loss: 0.8740	LR: 0.100000
Training Epoch: 14 [17664/47500]	Loss: 0.7531	LR: 0.100000
Training Epoch: 14 [17920/47500]	Loss: 0.9791	LR: 0.100000
Training Epoch: 14 [18176/47500]	Loss: 1.0025	LR: 0.100000
Training Epoch: 14 [18432/47500]	Loss: 0.9416	LR: 0.100000
Training Epoch: 14 [18688/47500]	Loss: 0.9515	LR: 0.100000
Training Epoch: 14 [18944/47500]	Loss: 0.9863	LR: 0.100000
Training Epoch: 14 [19200/47500]	Loss: 0.9391	LR: 0.100000
Training Epoch: 14 [19456/47500]	Loss: 1.0158	LR: 0.100000
Training Epoch: 14 [19712/47500]	Loss: 0.8224	LR: 0.100000
Training Epoch: 14 [19968/47500]	Loss: 0.8434	LR: 0.100000
Training Epoch: 14 [20224/47500]	Loss: 1.1288	LR: 0.100000
Training Epoch: 14 [20480/47500]	Loss: 0.8051	LR: 0.100000
Training Epoch: 14 [20736/47500]	Loss: 0.9002	LR: 0.100000
Training Epoch: 14 [20992/47500]	Loss: 0.9331	LR: 0.100000
Training Epoch: 14 [21248/47500]	Loss: 0.8797	LR: 0.100000
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Training Epoch: 14 [22016/47500]	Loss: 0.8388	LR: 0.100000
Training Epoch: 14 [22272/47500]	Loss: 0.9365	LR: 0.100000
Training Epoch: 14 [22528/47500]	Loss: 1.0079	LR: 0.100000
Training Epoch: 14 [22784/47500]	Loss: 0.9058	LR: 0.100000
Training Epoch: 14 [23040/47500]	Loss: 0.8162	LR: 0.100000
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Training Epoch: 14 [23808/47500]	Loss: 0.9435	LR: 0.100000
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Training Epoch: 14 [24576/47500]	Loss: 0.9791	LR: 0.100000
Training Epoch: 14 [24832/47500]	Loss: 0.9808	LR: 0.100000
Training Epoch: 14 [25088/47500]	Loss: 1.0039	LR: 0.100000
Training Epoch: 14 [25344/47500]	Loss: 0.8637	LR: 0.100000
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Training Epoch: 14 [26368/47500]	Loss: 0.8035	LR: 0.100000
Training Epoch: 14 [26624/47500]	Loss: 0.8177	LR: 0.100000
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Training Epoch: 14 [27392/47500]	Loss: 0.9167	LR: 0.100000
Training Epoch: 14 [27648/47500]	Loss: 1.0046	LR: 0.100000
Training Epoch: 14 [27904/47500]	Loss: 0.8065	LR: 0.100000
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Training Epoch: 14 [29184/47500]	Loss: 0.7953	LR: 0.100000
Training Epoch: 14 [29440/47500]	Loss: 0.8331	LR: 0.100000
Training Epoch: 14 [29696/47500]	Loss: 1.0738	LR: 0.100000
Training Epoch: 14 [29952/47500]	Loss: 0.9043	LR: 0.100000
Training Epoch: 14 [30208/47500]	Loss: 0.9878	LR: 0.100000
Training Epoch: 14 [30464/47500]	Loss: 0.9904	LR: 0.100000
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Training Epoch: 14 [30976/47500]	Loss: 0.9314	LR: 0.100000
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Training Epoch: 14 [31744/47500]	Loss: 0.8623	LR: 0.100000
Training Epoch: 14 [32000/47500]	Loss: 0.8495	LR: 0.100000
Training Epoch: 14 [32256/47500]	Loss: 0.9841	LR: 0.100000
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Training Epoch: 14 [34048/47500]	Loss: 0.8750	LR: 0.100000
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Training Epoch: 14 [47500/47500]	Loss: 0.9688	LR: 0.100000
Epoch 14 - Average Train Loss: 0.8932, Train Accuracy: 0.7106
Epoch 14 training time consumed: 28.44s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0052, Accuracy: 0.6037, Time consumed:0.90s
Training Epoch: 15 [256/47500]	Loss: 0.9616	LR: 0.020000
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Training Epoch: 15 [47500/47500]	Loss: 0.6022	LR: 0.020000
Epoch 15 - Average Train Loss: 0.6584, Train Accuracy: 0.7875
Epoch 15 training time consumed: 28.57s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0030, Accuracy: 0.7568, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_21h_10m_36s/ResNet18-Cifar20-seed7-ret50-15-best.pth
Training Epoch: 16 [256/47500]	Loss: 0.6103	LR: 0.020000
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Training Epoch: 16 [47500/47500]	Loss: 0.5288	LR: 0.020000
Epoch 16 - Average Train Loss: 0.5791, Train Accuracy: 0.8116
Epoch 16 training time consumed: 28.32s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0029, Accuracy: 0.7626, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_21h_10m_36s/ResNet18-Cifar20-seed7-ret50-16-best.pth
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Training Epoch: 17 [47500/47500]	Loss: 0.5623	LR: 0.020000
Epoch 17 - Average Train Loss: 0.5451, Train Accuracy: 0.8219
Epoch 17 training time consumed: 28.47s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0030, Accuracy: 0.7648, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_21h_10m_36s/ResNet18-Cifar20-seed7-ret50-17-best.pth
Training Epoch: 18 [256/47500]	Loss: 0.4887	LR: 0.020000
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Training Epoch: 18 [47500/47500]	Loss: 0.4514	LR: 0.020000
Epoch 18 - Average Train Loss: 0.5125, Train Accuracy: 0.8322
Epoch 18 training time consumed: 28.39s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0028, Accuracy: 0.7805, Time consumed:0.86s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_21h_10m_36s/ResNet18-Cifar20-seed7-ret50-18-best.pth
Training Epoch: 19 [256/47500]	Loss: 0.3708	LR: 0.020000
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Training Epoch: 19 [14080/47500]	Loss: 0.4276	LR: 0.020000
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Training Epoch: 19 [14592/47500]	Loss: 0.4357	LR: 0.020000
Training Epoch: 19 [14848/47500]	Loss: 0.5690	LR: 0.020000
Training Epoch: 19 [15104/47500]	Loss: 0.5163	LR: 0.020000
Training Epoch: 19 [15360/47500]	Loss: 0.4539	LR: 0.020000
Training Epoch: 19 [15616/47500]	Loss: 0.4367	LR: 0.020000
Training Epoch: 19 [15872/47500]	Loss: 0.4474	LR: 0.020000
Training Epoch: 19 [16128/47500]	Loss: 0.4233	LR: 0.020000
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Training Epoch: 19 [16640/47500]	Loss: 0.5012	LR: 0.020000
Training Epoch: 19 [16896/47500]	Loss: 0.4893	LR: 0.020000
Training Epoch: 19 [17152/47500]	Loss: 0.5067	LR: 0.020000
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Training Epoch: 19 [17664/47500]	Loss: 0.4531	LR: 0.020000
Training Epoch: 19 [17920/47500]	Loss: 0.3816	LR: 0.020000
Training Epoch: 19 [18176/47500]	Loss: 0.5335	LR: 0.020000
Training Epoch: 19 [18432/47500]	Loss: 0.5376	LR: 0.020000
Training Epoch: 19 [18688/47500]	Loss: 0.5462	LR: 0.020000
Training Epoch: 19 [18944/47500]	Loss: 0.5325	LR: 0.020000
Training Epoch: 19 [19200/47500]	Loss: 0.5323	LR: 0.020000
Training Epoch: 19 [19456/47500]	Loss: 0.4536	LR: 0.020000
Training Epoch: 19 [19712/47500]	Loss: 0.5823	LR: 0.020000
Training Epoch: 19 [19968/47500]	Loss: 0.4363	LR: 0.020000
Training Epoch: 19 [20224/47500]	Loss: 0.4611	LR: 0.020000
Training Epoch: 19 [20480/47500]	Loss: 0.4428	LR: 0.020000
Training Epoch: 19 [20736/47500]	Loss: 0.4363	LR: 0.020000
Training Epoch: 19 [20992/47500]	Loss: 0.4352	LR: 0.020000
Training Epoch: 19 [21248/47500]	Loss: 0.5153	LR: 0.020000
Training Epoch: 19 [21504/47500]	Loss: 0.3479	LR: 0.020000
Training Epoch: 19 [21760/47500]	Loss: 0.4308	LR: 0.020000
Training Epoch: 19 [22016/47500]	Loss: 0.4165	LR: 0.020000
Training Epoch: 19 [22272/47500]	Loss: 0.4534	LR: 0.020000
Training Epoch: 19 [22528/47500]	Loss: 0.5295	LR: 0.020000
Training Epoch: 19 [22784/47500]	Loss: 0.4766	LR: 0.020000
Training Epoch: 19 [23040/47500]	Loss: 0.4784	LR: 0.020000
Training Epoch: 19 [23296/47500]	Loss: 0.4423	LR: 0.020000
Training Epoch: 19 [23552/47500]	Loss: 0.4742	LR: 0.020000
Training Epoch: 19 [23808/47500]	Loss: 0.6305	LR: 0.020000
Training Epoch: 19 [24064/47500]	Loss: 0.4776	LR: 0.020000
Training Epoch: 19 [24320/47500]	Loss: 0.3849	LR: 0.020000
Training Epoch: 19 [24576/47500]	Loss: 0.4595	LR: 0.020000
Training Epoch: 19 [24832/47500]	Loss: 0.4741	LR: 0.020000
Training Epoch: 19 [25088/47500]	Loss: 0.4750	LR: 0.020000
Training Epoch: 19 [25344/47500]	Loss: 0.4622	LR: 0.020000
Training Epoch: 19 [25600/47500]	Loss: 0.3749	LR: 0.020000
Training Epoch: 19 [25856/47500]	Loss: 0.4707	LR: 0.020000
Training Epoch: 19 [26112/47500]	Loss: 0.4962	LR: 0.020000
Training Epoch: 19 [26368/47500]	Loss: 0.4752	LR: 0.020000
Training Epoch: 19 [26624/47500]	Loss: 0.5046	LR: 0.020000
Training Epoch: 19 [26880/47500]	Loss: 0.5111	LR: 0.020000
Training Epoch: 19 [27136/47500]	Loss: 0.4511	LR: 0.020000
Training Epoch: 19 [27392/47500]	Loss: 0.4208	LR: 0.020000
Training Epoch: 19 [27648/47500]	Loss: 0.5657	LR: 0.020000
Training Epoch: 19 [27904/47500]	Loss: 0.3864	LR: 0.020000
Training Epoch: 19 [28160/47500]	Loss: 0.4978	LR: 0.020000
Training Epoch: 19 [28416/47500]	Loss: 0.4669	LR: 0.020000
Training Epoch: 19 [28672/47500]	Loss: 0.4857	LR: 0.020000
Training Epoch: 19 [28928/47500]	Loss: 0.5378	LR: 0.020000
Training Epoch: 19 [29184/47500]	Loss: 0.5417	LR: 0.020000
Training Epoch: 19 [29440/47500]	Loss: 0.4961	LR: 0.020000
Training Epoch: 19 [29696/47500]	Loss: 0.5320	LR: 0.020000
Training Epoch: 19 [29952/47500]	Loss: 0.4936	LR: 0.020000
Training Epoch: 19 [30208/47500]	Loss: 0.5008	LR: 0.020000
Training Epoch: 19 [30464/47500]	Loss: 0.4869	LR: 0.020000
Training Epoch: 19 [30720/47500]	Loss: 0.5168	LR: 0.020000
Training Epoch: 19 [30976/47500]	Loss: 0.5718	LR: 0.020000
Training Epoch: 19 [31232/47500]	Loss: 0.4277	LR: 0.020000
Training Epoch: 19 [31488/47500]	Loss: 0.4859	LR: 0.020000
Training Epoch: 19 [31744/47500]	Loss: 0.6288	LR: 0.020000
Training Epoch: 19 [32000/47500]	Loss: 0.4537	LR: 0.020000
Training Epoch: 19 [32256/47500]	Loss: 0.5885	LR: 0.020000
Training Epoch: 19 [32512/47500]	Loss: 0.5722	LR: 0.020000
Training Epoch: 19 [32768/47500]	Loss: 0.5432	LR: 0.020000
Training Epoch: 19 [33024/47500]	Loss: 0.5228	LR: 0.020000
Training Epoch: 19 [33280/47500]	Loss: 0.4166	LR: 0.020000
Training Epoch: 19 [33536/47500]	Loss: 0.5431	LR: 0.020000
Training Epoch: 19 [33792/47500]	Loss: 0.4017	LR: 0.020000
Training Epoch: 19 [34048/47500]	Loss: 0.5185	LR: 0.020000
Training Epoch: 19 [34304/47500]	Loss: 0.4632	LR: 0.020000
Training Epoch: 19 [34560/47500]	Loss: 0.4874	LR: 0.020000
Training Epoch: 19 [34816/47500]	Loss: 0.4048	LR: 0.020000
Training Epoch: 19 [35072/47500]	Loss: 0.4859	LR: 0.020000
Training Epoch: 19 [35328/47500]	Loss: 0.3024	LR: 0.020000
Training Epoch: 19 [35584/47500]	Loss: 0.6721	LR: 0.020000
Training Epoch: 19 [35840/47500]	Loss: 0.5045	LR: 0.020000
Training Epoch: 19 [36096/47500]	Loss: 0.3960	LR: 0.020000
Training Epoch: 19 [36352/47500]	Loss: 0.4593	LR: 0.020000
Training Epoch: 19 [36608/47500]	Loss: 0.5476	LR: 0.020000
Training Epoch: 19 [36864/47500]	Loss: 0.4138	LR: 0.020000
Training Epoch: 19 [37120/47500]	Loss: 0.4880	LR: 0.020000
Training Epoch: 19 [37376/47500]	Loss: 0.4836	LR: 0.020000
Training Epoch: 19 [37632/47500]	Loss: 0.4475	LR: 0.020000
Training Epoch: 19 [37888/47500]	Loss: 0.5598	LR: 0.020000
Training Epoch: 19 [38144/47500]	Loss: 0.5109	LR: 0.020000
Training Epoch: 19 [38400/47500]	Loss: 0.4785	LR: 0.020000
Training Epoch: 19 [38656/47500]	Loss: 0.6021	LR: 0.020000
Training Epoch: 19 [38912/47500]	Loss: 0.4214	LR: 0.020000
Training Epoch: 19 [39168/47500]	Loss: 0.4428	LR: 0.020000
Training Epoch: 19 [39424/47500]	Loss: 0.5907	LR: 0.020000
Training Epoch: 19 [39680/47500]	Loss: 0.4509	LR: 0.020000
Training Epoch: 19 [39936/47500]	Loss: 0.4013	LR: 0.020000
Training Epoch: 19 [40192/47500]	Loss: 0.4712	LR: 0.020000
Training Epoch: 19 [40448/47500]	Loss: 0.4886	LR: 0.020000
Training Epoch: 19 [40704/47500]	Loss: 0.5878	LR: 0.020000
Training Epoch: 19 [40960/47500]	Loss: 0.6222	LR: 0.020000
Training Epoch: 19 [41216/47500]	Loss: 0.5074	LR: 0.020000
Training Epoch: 19 [41472/47500]	Loss: 0.4438	LR: 0.020000
Training Epoch: 19 [41728/47500]	Loss: 0.5257	LR: 0.020000
Training Epoch: 19 [41984/47500]	Loss: 0.4872	LR: 0.020000
Training Epoch: 19 [42240/47500]	Loss: 0.5017	LR: 0.020000
Training Epoch: 19 [42496/47500]	Loss: 0.6046	LR: 0.020000
Training Epoch: 19 [42752/47500]	Loss: 0.4502	LR: 0.020000
Training Epoch: 19 [43008/47500]	Loss: 0.5401	LR: 0.020000
Training Epoch: 19 [43264/47500]	Loss: 0.5930	LR: 0.020000
Training Epoch: 19 [43520/47500]	Loss: 0.5028	LR: 0.020000
Training Epoch: 19 [43776/47500]	Loss: 0.4185	LR: 0.020000
Training Epoch: 19 [44032/47500]	Loss: 0.4560	LR: 0.020000
Training Epoch: 19 [44288/47500]	Loss: 0.5472	LR: 0.020000
Training Epoch: 19 [44544/47500]	Loss: 0.5894	LR: 0.020000
Training Epoch: 19 [44800/47500]	Loss: 0.4373	LR: 0.020000
Training Epoch: 19 [45056/47500]	Loss: 0.4964	LR: 0.020000
Training Epoch: 19 [45312/47500]	Loss: 0.4246	LR: 0.020000
Training Epoch: 19 [45568/47500]	Loss: 0.5842	LR: 0.020000
Training Epoch: 19 [45824/47500]	Loss: 0.5022	LR: 0.020000
Training Epoch: 19 [46080/47500]	Loss: 0.5199	LR: 0.020000
Training Epoch: 19 [46336/47500]	Loss: 0.4133	LR: 0.020000
Training Epoch: 19 [46592/47500]	Loss: 0.4549	LR: 0.020000
Training Epoch: 19 [46848/47500]	Loss: 0.4850	LR: 0.020000
Training Epoch: 19 [47104/47500]	Loss: 0.4734	LR: 0.020000
Training Epoch: 19 [47360/47500]	Loss: 0.4593	LR: 0.020000
Training Epoch: 19 [47500/47500]	Loss: 0.6287	LR: 0.020000
Epoch 19 - Average Train Loss: 0.4850, Train Accuracy: 0.8398
Epoch 19 training time consumed: 28.83s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0031, Accuracy: 0.7609, Time consumed:0.93s
Training Epoch: 20 [256/47500]	Loss: 0.3421	LR: 0.020000
Training Epoch: 20 [512/47500]	Loss: 0.4197	LR: 0.020000
Training Epoch: 20 [768/47500]	Loss: 0.5820	LR: 0.020000
Training Epoch: 20 [1024/47500]	Loss: 0.4166	LR: 0.020000
Training Epoch: 20 [1280/47500]	Loss: 0.3558	LR: 0.020000
Training Epoch: 20 [1536/47500]	Loss: 0.5805	LR: 0.020000
Training Epoch: 20 [1792/47500]	Loss: 0.4223	LR: 0.020000
Training Epoch: 20 [2048/47500]	Loss: 0.3887	LR: 0.020000
Training Epoch: 20 [2304/47500]	Loss: 0.4961	LR: 0.020000
Training Epoch: 20 [2560/47500]	Loss: 0.4866	LR: 0.020000
Training Epoch: 20 [2816/47500]	Loss: 0.5436	LR: 0.020000
Training Epoch: 20 [3072/47500]	Loss: 0.4739	LR: 0.020000
Training Epoch: 20 [3328/47500]	Loss: 0.4828	LR: 0.020000
Training Epoch: 20 [3584/47500]	Loss: 0.4186	LR: 0.020000
Training Epoch: 20 [3840/47500]	Loss: 0.4714	LR: 0.020000
Training Epoch: 20 [4096/47500]	Loss: 0.4513	LR: 0.020000
Training Epoch: 20 [4352/47500]	Loss: 0.4842	LR: 0.020000
Training Epoch: 20 [4608/47500]	Loss: 0.4724	LR: 0.020000
Training Epoch: 20 [4864/47500]	Loss: 0.4769	LR: 0.020000
Training Epoch: 20 [5120/47500]	Loss: 0.4495	LR: 0.020000
Training Epoch: 20 [5376/47500]	Loss: 0.4852	LR: 0.020000
Training Epoch: 20 [5632/47500]	Loss: 0.3847	LR: 0.020000
Training Epoch: 20 [5888/47500]	Loss: 0.3860	LR: 0.020000
Training Epoch: 20 [6144/47500]	Loss: 0.5076	LR: 0.020000
Training Epoch: 20 [6400/47500]	Loss: 0.4849	LR: 0.020000
Training Epoch: 20 [6656/47500]	Loss: 0.4884	LR: 0.020000
Training Epoch: 20 [6912/47500]	Loss: 0.4457	LR: 0.020000
Training Epoch: 20 [7168/47500]	Loss: 0.3830	LR: 0.020000
Training Epoch: 20 [7424/47500]	Loss: 0.5085	LR: 0.020000
Training Epoch: 20 [7680/47500]	Loss: 0.4498	LR: 0.020000
Training Epoch: 20 [7936/47500]	Loss: 0.4068	LR: 0.020000
Training Epoch: 20 [8192/47500]	Loss: 0.4903	LR: 0.020000
Training Epoch: 20 [8448/47500]	Loss: 0.4893	LR: 0.020000
Training Epoch: 20 [8704/47500]	Loss: 0.3347	LR: 0.020000
Training Epoch: 20 [8960/47500]	Loss: 0.4357	LR: 0.020000
Training Epoch: 20 [9216/47500]	Loss: 0.4289	LR: 0.020000
Training Epoch: 20 [9472/47500]	Loss: 0.3997	LR: 0.020000
Training Epoch: 20 [9728/47500]	Loss: 0.4917	LR: 0.020000
Training Epoch: 20 [9984/47500]	Loss: 0.4642	LR: 0.020000
Training Epoch: 20 [10240/47500]	Loss: 0.4311	LR: 0.020000
Training Epoch: 20 [10496/47500]	Loss: 0.4837	LR: 0.020000
Training Epoch: 20 [10752/47500]	Loss: 0.3940	LR: 0.020000
Training Epoch: 20 [11008/47500]	Loss: 0.3883	LR: 0.020000
Training Epoch: 20 [11264/47500]	Loss: 0.5222	LR: 0.020000
Training Epoch: 20 [11520/47500]	Loss: 0.3685	LR: 0.020000
Training Epoch: 20 [11776/47500]	Loss: 0.4825	LR: 0.020000
Training Epoch: 20 [12032/47500]	Loss: 0.4103	LR: 0.020000
Training Epoch: 20 [12288/47500]	Loss: 0.5356	LR: 0.020000
Training Epoch: 20 [12544/47500]	Loss: 0.5452	LR: 0.020000
Training Epoch: 20 [12800/47500]	Loss: 0.4139	LR: 0.020000
Training Epoch: 20 [13056/47500]	Loss: 0.4525	LR: 0.020000
Training Epoch: 20 [13312/47500]	Loss: 0.5196	LR: 0.020000
Training Epoch: 20 [13568/47500]	Loss: 0.4218	LR: 0.020000
Training Epoch: 20 [13824/47500]	Loss: 0.3654	LR: 0.020000
Training Epoch: 20 [14080/47500]	Loss: 0.4219	LR: 0.020000
Training Epoch: 20 [14336/47500]	Loss: 0.3459	LR: 0.020000
Training Epoch: 20 [14592/47500]	Loss: 0.4462	LR: 0.020000
Training Epoch: 20 [14848/47500]	Loss: 0.4104	LR: 0.020000
Training Epoch: 20 [15104/47500]	Loss: 0.4505	LR: 0.020000
Training Epoch: 20 [15360/47500]	Loss: 0.4177	LR: 0.020000
Training Epoch: 20 [15616/47500]	Loss: 0.5130	LR: 0.020000
Training Epoch: 20 [15872/47500]	Loss: 0.3593	LR: 0.020000
Training Epoch: 20 [16128/47500]	Loss: 0.4603	LR: 0.020000
Training Epoch: 20 [16384/47500]	Loss: 0.4704	LR: 0.020000
Training Epoch: 20 [16640/47500]	Loss: 0.5059	LR: 0.020000
Training Epoch: 20 [16896/47500]	Loss: 0.5008	LR: 0.020000
Training Epoch: 20 [17152/47500]	Loss: 0.4018	LR: 0.020000
Training Epoch: 20 [17408/47500]	Loss: 0.5839	LR: 0.020000
Training Epoch: 20 [17664/47500]	Loss: 0.4927	LR: 0.020000
Training Epoch: 20 [17920/47500]	Loss: 0.5139	LR: 0.020000
Training Epoch: 20 [18176/47500]	Loss: 0.6071	LR: 0.020000
Training Epoch: 20 [18432/47500]	Loss: 0.5012	LR: 0.020000
Training Epoch: 20 [18688/47500]	Loss: 0.4835	LR: 0.020000
Training Epoch: 20 [18944/47500]	Loss: 0.4153	LR: 0.020000
Training Epoch: 20 [19200/47500]	Loss: 0.4187	LR: 0.020000
Training Epoch: 20 [19456/47500]	Loss: 0.4447	LR: 0.020000
Training Epoch: 20 [19712/47500]	Loss: 0.5965	LR: 0.020000
Training Epoch: 20 [19968/47500]	Loss: 0.5291	LR: 0.020000
Training Epoch: 20 [20224/47500]	Loss: 0.4441	LR: 0.020000
Training Epoch: 20 [20480/47500]	Loss: 0.5017	LR: 0.020000
Training Epoch: 20 [20736/47500]	Loss: 0.4419	LR: 0.020000
Training Epoch: 20 [20992/47500]	Loss: 0.4197	LR: 0.020000
Training Epoch: 20 [21248/47500]	Loss: 0.4662	LR: 0.020000
Training Epoch: 20 [21504/47500]	Loss: 0.4531	LR: 0.020000
Training Epoch: 20 [21760/47500]	Loss: 0.3949	LR: 0.020000
Training Epoch: 20 [22016/47500]	Loss: 0.4095	LR: 0.020000
Training Epoch: 20 [22272/47500]	Loss: 0.5220	LR: 0.020000
Training Epoch: 20 [22528/47500]	Loss: 0.4619	LR: 0.020000
Training Epoch: 20 [22784/47500]	Loss: 0.4649	LR: 0.020000
Training Epoch: 20 [23040/47500]	Loss: 0.4616	LR: 0.020000
Training Epoch: 20 [23296/47500]	Loss: 0.5084	LR: 0.020000
Training Epoch: 20 [23552/47500]	Loss: 0.4126	LR: 0.020000
Training Epoch: 20 [23808/47500]	Loss: 0.4754	LR: 0.020000
Training Epoch: 20 [24064/47500]	Loss: 0.4919	LR: 0.020000
Training Epoch: 20 [24320/47500]	Loss: 0.4009	LR: 0.020000
Training Epoch: 20 [24576/47500]	Loss: 0.5752	LR: 0.020000
Training Epoch: 20 [24832/47500]	Loss: 0.4580	LR: 0.020000
Training Epoch: 20 [25088/47500]	Loss: 0.4278	LR: 0.020000
Training Epoch: 20 [25344/47500]	Loss: 0.5001	LR: 0.020000
Training Epoch: 20 [25600/47500]	Loss: 0.4190	LR: 0.020000
Training Epoch: 20 [25856/47500]	Loss: 0.3961	LR: 0.020000
Training Epoch: 20 [26112/47500]	Loss: 0.5326	LR: 0.020000
Training Epoch: 20 [26368/47500]	Loss: 0.5129	LR: 0.020000
Training Epoch: 20 [26624/47500]	Loss: 0.3704	LR: 0.020000
Training Epoch: 20 [26880/47500]	Loss: 0.5424	LR: 0.020000
Training Epoch: 20 [27136/47500]	Loss: 0.3833	LR: 0.020000
Training Epoch: 20 [27392/47500]	Loss: 0.3837	LR: 0.020000
Training Epoch: 20 [27648/47500]	Loss: 0.3156	LR: 0.020000
Training Epoch: 20 [27904/47500]	Loss: 0.4371	LR: 0.020000
Training Epoch: 20 [28160/47500]	Loss: 0.5398	LR: 0.020000
Training Epoch: 20 [28416/47500]	Loss: 0.5012	LR: 0.020000
Training Epoch: 20 [28672/47500]	Loss: 0.4273	LR: 0.020000
Training Epoch: 20 [28928/47500]	Loss: 0.3924	LR: 0.020000
Training Epoch: 20 [29184/47500]	Loss: 0.4422	LR: 0.020000
Training Epoch: 20 [29440/47500]	Loss: 0.4432	LR: 0.020000
Training Epoch: 20 [29696/47500]	Loss: 0.5199	LR: 0.020000
Training Epoch: 20 [29952/47500]	Loss: 0.3758	LR: 0.020000
Training Epoch: 20 [30208/47500]	Loss: 0.4795	LR: 0.020000
Training Epoch: 20 [30464/47500]	Loss: 0.4009	LR: 0.020000
Training Epoch: 20 [30720/47500]	Loss: 0.4608	LR: 0.020000
Training Epoch: 20 [30976/47500]	Loss: 0.5263	LR: 0.020000
Training Epoch: 20 [31232/47500]	Loss: 0.5241	LR: 0.020000
Training Epoch: 20 [31488/47500]	Loss: 0.4021	LR: 0.020000
Training Epoch: 20 [31744/47500]	Loss: 0.5200	LR: 0.020000
Training Epoch: 20 [32000/47500]	Loss: 0.5702	LR: 0.020000
Training Epoch: 20 [32256/47500]	Loss: 0.5143	LR: 0.020000
Training Epoch: 20 [32512/47500]	Loss: 0.5494	LR: 0.020000
Training Epoch: 20 [32768/47500]	Loss: 0.4360	LR: 0.020000
Training Epoch: 20 [33024/47500]	Loss: 0.4593	LR: 0.020000
Training Epoch: 20 [33280/47500]	Loss: 0.4486	LR: 0.020000
Training Epoch: 20 [33536/47500]	Loss: 0.5414	LR: 0.020000
Training Epoch: 20 [33792/47500]	Loss: 0.4761	LR: 0.020000
Training Epoch: 20 [34048/47500]	Loss: 0.5866	LR: 0.020000
Training Epoch: 20 [34304/47500]	Loss: 0.4331	LR: 0.020000
Training Epoch: 20 [34560/47500]	Loss: 0.5174	LR: 0.020000
Training Epoch: 20 [34816/47500]	Loss: 0.4490	LR: 0.020000
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Training Epoch: 20 [35328/47500]	Loss: 0.5091	LR: 0.020000
Training Epoch: 20 [35584/47500]	Loss: 0.5533	LR: 0.020000
Training Epoch: 20 [35840/47500]	Loss: 0.5325	LR: 0.020000
Training Epoch: 20 [36096/47500]	Loss: 0.4849	LR: 0.020000
Training Epoch: 20 [36352/47500]	Loss: 0.4610	LR: 0.020000
Training Epoch: 20 [36608/47500]	Loss: 0.4664	LR: 0.020000
Training Epoch: 20 [36864/47500]	Loss: 0.4844	LR: 0.020000
Training Epoch: 20 [37120/47500]	Loss: 0.4062	LR: 0.020000
Training Epoch: 20 [37376/47500]	Loss: 0.5470	LR: 0.020000
Training Epoch: 20 [37632/47500]	Loss: 0.4976	LR: 0.020000
Training Epoch: 20 [37888/47500]	Loss: 0.5358	LR: 0.020000
Training Epoch: 20 [38144/47500]	Loss: 0.4493	LR: 0.020000
Training Epoch: 20 [38400/47500]	Loss: 0.5040	LR: 0.020000
Training Epoch: 20 [38656/47500]	Loss: 0.4421	LR: 0.020000
Training Epoch: 20 [38912/47500]	Loss: 0.3826	LR: 0.020000
Training Epoch: 20 [39168/47500]	Loss: 0.5159	LR: 0.020000
Training Epoch: 20 [39424/47500]	Loss: 0.4495	LR: 0.020000
Training Epoch: 20 [39680/47500]	Loss: 0.4580	LR: 0.020000
Training Epoch: 20 [39936/47500]	Loss: 0.4516	LR: 0.020000
Training Epoch: 20 [40192/47500]	Loss: 0.4125	LR: 0.020000
Training Epoch: 20 [40448/47500]	Loss: 0.4498	LR: 0.020000
Training Epoch: 20 [40704/47500]	Loss: 0.5589	LR: 0.020000
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Training Epoch: 20 [43008/47500]	Loss: 0.4032	LR: 0.020000
Training Epoch: 20 [43264/47500]	Loss: 0.4810	LR: 0.020000
Training Epoch: 20 [43520/47500]	Loss: 0.4971	LR: 0.020000
Training Epoch: 20 [43776/47500]	Loss: 0.5721	LR: 0.020000
Training Epoch: 20 [44032/47500]	Loss: 0.4111	LR: 0.020000
Training Epoch: 20 [44288/47500]	Loss: 0.4343	LR: 0.020000
Training Epoch: 20 [44544/47500]	Loss: 0.4472	LR: 0.020000
Training Epoch: 20 [44800/47500]	Loss: 0.4901	LR: 0.020000
Training Epoch: 20 [45056/47500]	Loss: 0.4479	LR: 0.020000
Training Epoch: 20 [45312/47500]	Loss: 0.4220	LR: 0.020000
Training Epoch: 20 [45568/47500]	Loss: 0.4935	LR: 0.020000
Training Epoch: 20 [45824/47500]	Loss: 0.3691	LR: 0.020000
Training Epoch: 20 [46080/47500]	Loss: 0.4685	LR: 0.020000
Training Epoch: 20 [46336/47500]	Loss: 0.5062	LR: 0.020000
Training Epoch: 20 [46592/47500]	Loss: 0.4878	LR: 0.020000
Training Epoch: 20 [46848/47500]	Loss: 0.4136	LR: 0.020000
Training Epoch: 20 [47104/47500]	Loss: 0.4131	LR: 0.020000
Training Epoch: 20 [47360/47500]	Loss: 0.3819	LR: 0.020000
Training Epoch: 20 [47500/47500]	Loss: 0.5679	LR: 0.020000
Epoch 20 - Average Train Loss: 0.4630, Train Accuracy: 0.8475
Epoch 20 training time consumed: 28.38s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0030, Accuracy: 0.7671, Time consumed:0.88s
Training Epoch: 21 [256/47500]	Loss: 0.3877	LR: 0.020000
Training Epoch: 21 [512/47500]	Loss: 0.3762	LR: 0.020000
Training Epoch: 21 [768/47500]	Loss: 0.3910	LR: 0.020000
Training Epoch: 21 [1024/47500]	Loss: 0.4562	LR: 0.020000
Training Epoch: 21 [1280/47500]	Loss: 0.6164	LR: 0.020000
Training Epoch: 21 [1536/47500]	Loss: 0.4935	LR: 0.020000
Training Epoch: 21 [1792/47500]	Loss: 0.4651	LR: 0.020000
Training Epoch: 21 [2048/47500]	Loss: 0.4249	LR: 0.020000
Training Epoch: 21 [2304/47500]	Loss: 0.5030	LR: 0.020000
Training Epoch: 21 [2560/47500]	Loss: 0.4748	LR: 0.020000
Training Epoch: 21 [2816/47500]	Loss: 0.4134	LR: 0.020000
Training Epoch: 21 [3072/47500]	Loss: 0.4271	LR: 0.020000
Training Epoch: 21 [3328/47500]	Loss: 0.4720	LR: 0.020000
Training Epoch: 21 [3584/47500]	Loss: 0.3744	LR: 0.020000
Training Epoch: 21 [3840/47500]	Loss: 0.3242	LR: 0.020000
Training Epoch: 21 [4096/47500]	Loss: 0.3910	LR: 0.020000
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Training Epoch: 21 [4608/47500]	Loss: 0.3750	LR: 0.020000
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Training Epoch: 21 [5120/47500]	Loss: 0.3708	LR: 0.020000
Training Epoch: 21 [5376/47500]	Loss: 0.4719	LR: 0.020000
Training Epoch: 21 [5632/47500]	Loss: 0.4229	LR: 0.020000
Training Epoch: 21 [5888/47500]	Loss: 0.3714	LR: 0.020000
Training Epoch: 21 [6144/47500]	Loss: 0.4671	LR: 0.020000
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Training Epoch: 21 [6656/47500]	Loss: 0.4871	LR: 0.020000
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Training Epoch: 21 [7168/47500]	Loss: 0.4657	LR: 0.020000
Training Epoch: 21 [7424/47500]	Loss: 0.3855	LR: 0.020000
Training Epoch: 21 [7680/47500]	Loss: 0.4922	LR: 0.020000
Training Epoch: 21 [7936/47500]	Loss: 0.3824	LR: 0.020000
Training Epoch: 21 [8192/47500]	Loss: 0.4804	LR: 0.020000
Training Epoch: 21 [8448/47500]	Loss: 0.3550	LR: 0.020000
Training Epoch: 21 [8704/47500]	Loss: 0.4346	LR: 0.020000
Training Epoch: 21 [8960/47500]	Loss: 0.4505	LR: 0.020000
Training Epoch: 21 [9216/47500]	Loss: 0.4700	LR: 0.020000
Training Epoch: 21 [9472/47500]	Loss: 0.4017	LR: 0.020000
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Training Epoch: 21 [10240/47500]	Loss: 0.5644	LR: 0.020000
Training Epoch: 21 [10496/47500]	Loss: 0.3841	LR: 0.020000
Training Epoch: 21 [10752/47500]	Loss: 0.4309	LR: 0.020000
Training Epoch: 21 [11008/47500]	Loss: 0.4596	LR: 0.020000
Training Epoch: 21 [11264/47500]	Loss: 0.4302	LR: 0.020000
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Training Epoch: 21 [12032/47500]	Loss: 0.4410	LR: 0.020000
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Training Epoch: 21 [16896/47500]	Loss: 0.3987	LR: 0.020000
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Training Epoch: 21 [40192/47500]	Loss: 0.4088	LR: 0.020000
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Training Epoch: 21 [41728/47500]	Loss: 0.4156	LR: 0.020000
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Training Epoch: 21 [42496/47500]	Loss: 0.5643	LR: 0.020000
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Training Epoch: 21 [43264/47500]	Loss: 0.4485	LR: 0.020000
Training Epoch: 21 [43520/47500]	Loss: 0.6196	LR: 0.020000
Training Epoch: 21 [43776/47500]	Loss: 0.5953	LR: 0.020000
Training Epoch: 21 [44032/47500]	Loss: 0.5516	LR: 0.020000
Training Epoch: 21 [44288/47500]	Loss: 0.5379	LR: 0.020000
Training Epoch: 21 [44544/47500]	Loss: 0.3441	LR: 0.020000
Training Epoch: 21 [44800/47500]	Loss: 0.4768	LR: 0.020000
Training Epoch: 21 [45056/47500]	Loss: 0.4998	LR: 0.020000
Training Epoch: 21 [45312/47500]	Loss: 0.4101	LR: 0.020000
Training Epoch: 21 [45568/47500]	Loss: 0.4284	LR: 0.020000
Training Epoch: 21 [45824/47500]	Loss: 0.4999	LR: 0.020000
Training Epoch: 21 [46080/47500]	Loss: 0.5569	LR: 0.020000
Training Epoch: 21 [46336/47500]	Loss: 0.3892	LR: 0.020000
Training Epoch: 21 [46592/47500]	Loss: 0.3994	LR: 0.020000
Training Epoch: 21 [46848/47500]	Loss: 0.4397	LR: 0.020000
Training Epoch: 21 [47104/47500]	Loss: 0.4546	LR: 0.020000
Training Epoch: 21 [47360/47500]	Loss: 0.3836	LR: 0.020000
Training Epoch: 21 [47500/47500]	Loss: 0.5221	LR: 0.020000
Epoch 21 - Average Train Loss: 0.4443, Train Accuracy: 0.8547
Epoch 21 training time consumed: 28.33s
Evaluating Network.....
Test set: Epoch: 21, Average loss: 0.0031, Accuracy: 0.7687, Time consumed:0.89s
Training Epoch: 22 [256/47500]	Loss: 0.4419	LR: 0.020000
Training Epoch: 22 [512/47500]	Loss: 0.4505	LR: 0.020000
Training Epoch: 22 [768/47500]	Loss: 0.4291	LR: 0.020000
Training Epoch: 22 [1024/47500]	Loss: 0.3535	LR: 0.020000
Training Epoch: 22 [1280/47500]	Loss: 0.4034	LR: 0.020000
Training Epoch: 22 [1536/47500]	Loss: 0.3364	LR: 0.020000
Training Epoch: 22 [1792/47500]	Loss: 0.4306	LR: 0.020000
Training Epoch: 22 [2048/47500]	Loss: 0.4408	LR: 0.020000
Training Epoch: 22 [2304/47500]	Loss: 0.3794	LR: 0.020000
Training Epoch: 22 [2560/47500]	Loss: 0.3133	LR: 0.020000
Training Epoch: 22 [2816/47500]	Loss: 0.4162	LR: 0.020000
Training Epoch: 22 [3072/47500]	Loss: 0.3361	LR: 0.020000
Training Epoch: 22 [3328/47500]	Loss: 0.3072	LR: 0.020000
Training Epoch: 22 [3584/47500]	Loss: 0.4650	LR: 0.020000
Training Epoch: 22 [3840/47500]	Loss: 0.3443	LR: 0.020000
Training Epoch: 22 [4096/47500]	Loss: 0.4448	LR: 0.020000
Training Epoch: 22 [4352/47500]	Loss: 0.3578	LR: 0.020000
Training Epoch: 22 [4608/47500]	Loss: 0.4354	LR: 0.020000
Training Epoch: 22 [4864/47500]	Loss: 0.3433	LR: 0.020000
Training Epoch: 22 [5120/47500]	Loss: 0.4700	LR: 0.020000
Training Epoch: 22 [5376/47500]	Loss: 0.4777	LR: 0.020000
Training Epoch: 22 [5632/47500]	Loss: 0.4039	LR: 0.020000
Training Epoch: 22 [5888/47500]	Loss: 0.3414	LR: 0.020000
Training Epoch: 22 [6144/47500]	Loss: 0.5081	LR: 0.020000
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Training Epoch: 22 [6656/47500]	Loss: 0.3940	LR: 0.020000
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Training Epoch: 22 [7168/47500]	Loss: 0.3795	LR: 0.020000
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Training Epoch: 22 [8448/47500]	Loss: 0.3363	LR: 0.020000
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Training Epoch: 22 [15104/47500]	Loss: 0.4555	LR: 0.020000
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Training Epoch: 22 [15616/47500]	Loss: 0.5318	LR: 0.020000
Training Epoch: 22 [15872/47500]	Loss: 0.4295	LR: 0.020000
Training Epoch: 22 [16128/47500]	Loss: 0.4480	LR: 0.020000
Training Epoch: 22 [16384/47500]	Loss: 0.4724	LR: 0.020000
Training Epoch: 22 [16640/47500]	Loss: 0.4551	LR: 0.020000
Training Epoch: 22 [16896/47500]	Loss: 0.4902	LR: 0.020000
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Training Epoch: 22 [17408/47500]	Loss: 0.4125	LR: 0.020000
Training Epoch: 22 [17664/47500]	Loss: 0.5319	LR: 0.020000
Training Epoch: 22 [17920/47500]	Loss: 0.3604	LR: 0.020000
Training Epoch: 22 [18176/47500]	Loss: 0.3802	LR: 0.020000
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Training Epoch: 22 [22528/47500]	Loss: 0.5142	LR: 0.020000
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Training Epoch: 22 [32256/47500]	Loss: 0.4693	LR: 0.020000
Training Epoch: 22 [32512/47500]	Loss: 0.4645	LR: 0.020000
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Training Epoch: 22 [35584/47500]	Loss: 0.4108	LR: 0.020000
Training Epoch: 22 [35840/47500]	Loss: 0.3916	LR: 0.020000
Training Epoch: 22 [36096/47500]	Loss: 0.4360	LR: 0.020000
Training Epoch: 22 [36352/47500]	Loss: 0.4103	LR: 0.020000
Training Epoch: 22 [36608/47500]	Loss: 0.5475	LR: 0.020000
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Training Epoch: 22 [37120/47500]	Loss: 0.4967	LR: 0.020000
Training Epoch: 22 [37376/47500]	Loss: 0.4709	LR: 0.020000
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Training Epoch: 22 [41472/47500]	Loss: 0.4461	LR: 0.020000
Training Epoch: 22 [41728/47500]	Loss: 0.4667	LR: 0.020000
Training Epoch: 22 [41984/47500]	Loss: 0.4456	LR: 0.020000
Training Epoch: 22 [42240/47500]	Loss: 0.3616	LR: 0.020000
Training Epoch: 22 [42496/47500]	Loss: 0.4289	LR: 0.020000
Training Epoch: 22 [42752/47500]	Loss: 0.3626	LR: 0.020000
Training Epoch: 22 [43008/47500]	Loss: 0.5001	LR: 0.020000
Training Epoch: 22 [43264/47500]	Loss: 0.5456	LR: 0.020000
Training Epoch: 22 [43520/47500]	Loss: 0.5509	LR: 0.020000
Training Epoch: 22 [43776/47500]	Loss: 0.4200	LR: 0.020000
Training Epoch: 22 [44032/47500]	Loss: 0.3651	LR: 0.020000
Training Epoch: 22 [44288/47500]	Loss: 0.4079	LR: 0.020000
Training Epoch: 22 [44544/47500]	Loss: 0.3976	LR: 0.020000
Training Epoch: 22 [44800/47500]	Loss: 0.4421	LR: 0.020000
Training Epoch: 22 [45056/47500]	Loss: 0.3884	LR: 0.020000
Training Epoch: 22 [45312/47500]	Loss: 0.4934	LR: 0.020000
Training Epoch: 22 [45568/47500]	Loss: 0.5107	LR: 0.020000
Training Epoch: 22 [45824/47500]	Loss: 0.4228	LR: 0.020000
Training Epoch: 22 [46080/47500]	Loss: 0.4042	LR: 0.020000
Training Epoch: 22 [46336/47500]	Loss: 0.4758	LR: 0.020000
Training Epoch: 22 [46592/47500]	Loss: 0.4971	LR: 0.020000
Training Epoch: 22 [46848/47500]	Loss: 0.4653	LR: 0.020000
Training Epoch: 22 [47104/47500]	Loss: 0.4560	LR: 0.020000
Training Epoch: 22 [47360/47500]	Loss: 0.4998	LR: 0.020000
Training Epoch: 22 [47500/47500]	Loss: 0.5009	LR: 0.020000
Epoch 22 - Average Train Loss: 0.4296, Train Accuracy: 0.8567
Epoch 22 training time consumed: 28.39s
Evaluating Network.....
Test set: Epoch: 22, Average loss: 0.0031, Accuracy: 0.7641, Time consumed:0.89s
Training Epoch: 23 [256/47500]	Loss: 0.3996	LR: 0.020000
Training Epoch: 23 [512/47500]	Loss: 0.3616	LR: 0.020000
Training Epoch: 23 [768/47500]	Loss: 0.3242	LR: 0.020000
Training Epoch: 23 [1024/47500]	Loss: 0.2930	LR: 0.020000
Training Epoch: 23 [1280/47500]	Loss: 0.4063	LR: 0.020000
Training Epoch: 23 [1536/47500]	Loss: 0.3544	LR: 0.020000
Training Epoch: 23 [1792/47500]	Loss: 0.3533	LR: 0.020000
Training Epoch: 23 [2048/47500]	Loss: 0.4167	LR: 0.020000
Training Epoch: 23 [2304/47500]	Loss: 0.3660	LR: 0.020000
Training Epoch: 23 [2560/47500]	Loss: 0.3361	LR: 0.020000
Training Epoch: 23 [2816/47500]	Loss: 0.3879	LR: 0.020000
Training Epoch: 23 [3072/47500]	Loss: 0.4379	LR: 0.020000
Training Epoch: 23 [3328/47500]	Loss: 0.4268	LR: 0.020000
Training Epoch: 23 [3584/47500]	Loss: 0.2979	LR: 0.020000
Training Epoch: 23 [3840/47500]	Loss: 0.4645	LR: 0.020000
Training Epoch: 23 [4096/47500]	Loss: 0.3548	LR: 0.020000
Training Epoch: 23 [4352/47500]	Loss: 0.3663	LR: 0.020000
Training Epoch: 23 [4608/47500]	Loss: 0.4301	LR: 0.020000
Training Epoch: 23 [4864/47500]	Loss: 0.3806	LR: 0.020000
Training Epoch: 23 [5120/47500]	Loss: 0.3993	LR: 0.020000
Training Epoch: 23 [5376/47500]	Loss: 0.4152	LR: 0.020000
Training Epoch: 23 [5632/47500]	Loss: 0.3320	LR: 0.020000
Training Epoch: 23 [5888/47500]	Loss: 0.4003	LR: 0.020000
Training Epoch: 23 [6144/47500]	Loss: 0.4266	LR: 0.020000
Training Epoch: 23 [6400/47500]	Loss: 0.3932	LR: 0.020000
Training Epoch: 23 [6656/47500]	Loss: 0.3625	LR: 0.020000
Training Epoch: 23 [6912/47500]	Loss: 0.4311	LR: 0.020000
Training Epoch: 23 [7168/47500]	Loss: 0.4185	LR: 0.020000
Training Epoch: 23 [7424/47500]	Loss: 0.2944	LR: 0.020000
Training Epoch: 23 [7680/47500]	Loss: 0.3480	LR: 0.020000
Training Epoch: 23 [7936/47500]	Loss: 0.3543	LR: 0.020000
Training Epoch: 23 [8192/47500]	Loss: 0.3643	LR: 0.020000
Training Epoch: 23 [8448/47500]	Loss: 0.3343	LR: 0.020000
Training Epoch: 23 [8704/47500]	Loss: 0.4731	LR: 0.020000
Training Epoch: 23 [8960/47500]	Loss: 0.4229	LR: 0.020000
Training Epoch: 23 [9216/47500]	Loss: 0.3016	LR: 0.020000
Training Epoch: 23 [9472/47500]	Loss: 0.3524	LR: 0.020000
Training Epoch: 23 [9728/47500]	Loss: 0.4115	LR: 0.020000
Training Epoch: 23 [9984/47500]	Loss: 0.3751	LR: 0.020000
Training Epoch: 23 [10240/47500]	Loss: 0.3687	LR: 0.020000
Training Epoch: 23 [10496/47500]	Loss: 0.3883	LR: 0.020000
Training Epoch: 23 [10752/47500]	Loss: 0.4219	LR: 0.020000
Training Epoch: 23 [11008/47500]	Loss: 0.3718	LR: 0.020000
Training Epoch: 23 [11264/47500]	Loss: 0.3637	LR: 0.020000
Training Epoch: 23 [11520/47500]	Loss: 0.4072	LR: 0.020000
Training Epoch: 23 [11776/47500]	Loss: 0.3610	LR: 0.020000
Training Epoch: 23 [12032/47500]	Loss: 0.3703	LR: 0.020000
Training Epoch: 23 [12288/47500]	Loss: 0.3572	LR: 0.020000
Training Epoch: 23 [12544/47500]	Loss: 0.4195	LR: 0.020000
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Training Epoch: 23 [13568/47500]	Loss: 0.5285	LR: 0.020000
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Training Epoch: 23 [18176/47500]	Loss: 0.4837	LR: 0.020000
Training Epoch: 23 [18432/47500]	Loss: 0.4063	LR: 0.020000
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Training Epoch: 23 [18944/47500]	Loss: 0.4201	LR: 0.020000
Training Epoch: 23 [19200/47500]	Loss: 0.2982	LR: 0.020000
Training Epoch: 23 [19456/47500]	Loss: 0.4135	LR: 0.020000
Training Epoch: 23 [19712/47500]	Loss: 0.3950	LR: 0.020000
Training Epoch: 23 [19968/47500]	Loss: 0.4400	LR: 0.020000
Training Epoch: 23 [20224/47500]	Loss: 0.4311	LR: 0.020000
Training Epoch: 23 [20480/47500]	Loss: 0.4818	LR: 0.020000
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Training Epoch: 23 [21760/47500]	Loss: 0.3602	LR: 0.020000
Training Epoch: 23 [22016/47500]	Loss: 0.3909	LR: 0.020000
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Training Epoch: 23 [22528/47500]	Loss: 0.3805	LR: 0.020000
Training Epoch: 23 [22784/47500]	Loss: 0.4368	LR: 0.020000
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Training Epoch: 23 [44032/47500]	Loss: 0.4486	LR: 0.020000
Training Epoch: 23 [44288/47500]	Loss: 0.4425	LR: 0.020000
Training Epoch: 23 [44544/47500]	Loss: 0.5087	LR: 0.020000
Training Epoch: 23 [44800/47500]	Loss: 0.3862	LR: 0.020000
Training Epoch: 23 [45056/47500]	Loss: 0.3878	LR: 0.020000
Training Epoch: 23 [45312/47500]	Loss: 0.3688	LR: 0.020000
Training Epoch: 23 [45568/47500]	Loss: 0.4957	LR: 0.020000
Training Epoch: 23 [45824/47500]	Loss: 0.4542	LR: 0.020000
Training Epoch: 23 [46080/47500]	Loss: 0.4412	LR: 0.020000
Training Epoch: 23 [46336/47500]	Loss: 0.4721	LR: 0.020000
Training Epoch: 23 [46592/47500]	Loss: 0.3608	LR: 0.020000
Training Epoch: 23 [46848/47500]	Loss: 0.4142	LR: 0.020000
Training Epoch: 23 [47104/47500]	Loss: 0.5554	LR: 0.020000
Training Epoch: 23 [47360/47500]	Loss: 0.4382	LR: 0.020000
Training Epoch: 23 [47500/47500]	Loss: 0.5123	LR: 0.020000
Epoch 23 - Average Train Loss: 0.4108, Train Accuracy: 0.8627
Epoch 23 training time consumed: 28.48s
Evaluating Network.....
Test set: Epoch: 23, Average loss: 0.0031, Accuracy: 0.7698, Time consumed:0.90s
Training Epoch: 24 [256/47500]	Loss: 0.3218	LR: 0.020000
Training Epoch: 24 [512/47500]	Loss: 0.4358	LR: 0.020000
Training Epoch: 24 [768/47500]	Loss: 0.3714	LR: 0.020000
Training Epoch: 24 [1024/47500]	Loss: 0.3748	LR: 0.020000
Training Epoch: 24 [1280/47500]	Loss: 0.3907	LR: 0.020000
Training Epoch: 24 [1536/47500]	Loss: 0.3130	LR: 0.020000
Training Epoch: 24 [1792/47500]	Loss: 0.3883	LR: 0.020000
Training Epoch: 24 [2048/47500]	Loss: 0.3168	LR: 0.020000
Training Epoch: 24 [2304/47500]	Loss: 0.4258	LR: 0.020000
Training Epoch: 24 [2560/47500]	Loss: 0.3938	LR: 0.020000
Training Epoch: 24 [2816/47500]	Loss: 0.3509	LR: 0.020000
Training Epoch: 24 [3072/47500]	Loss: 0.2514	LR: 0.020000
Training Epoch: 24 [3328/47500]	Loss: 0.3336	LR: 0.020000
Training Epoch: 24 [3584/47500]	Loss: 0.3533	LR: 0.020000
Training Epoch: 24 [3840/47500]	Loss: 0.4166	LR: 0.020000
Training Epoch: 24 [4096/47500]	Loss: 0.3166	LR: 0.020000
Training Epoch: 24 [4352/47500]	Loss: 0.3862	LR: 0.020000
Training Epoch: 24 [4608/47500]	Loss: 0.4306	LR: 0.020000
Training Epoch: 24 [4864/47500]	Loss: 0.4183	LR: 0.020000
Training Epoch: 24 [5120/47500]	Loss: 0.4452	LR: 0.020000
Training Epoch: 24 [5376/47500]	Loss: 0.3616	LR: 0.020000
Training Epoch: 24 [5632/47500]	Loss: 0.4894	LR: 0.020000
Training Epoch: 24 [5888/47500]	Loss: 0.3534	LR: 0.020000
Training Epoch: 24 [6144/47500]	Loss: 0.3685	LR: 0.020000
Training Epoch: 24 [6400/47500]	Loss: 0.2738	LR: 0.020000
Training Epoch: 24 [6656/47500]	Loss: 0.4065	LR: 0.020000
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Training Epoch: 24 [7168/47500]	Loss: 0.4049	LR: 0.020000
Training Epoch: 24 [7424/47500]	Loss: 0.4584	LR: 0.020000
Training Epoch: 24 [7680/47500]	Loss: 0.3376	LR: 0.020000
Training Epoch: 24 [7936/47500]	Loss: 0.4372	LR: 0.020000
Training Epoch: 24 [8192/47500]	Loss: 0.3880	LR: 0.020000
Training Epoch: 24 [8448/47500]	Loss: 0.3622	LR: 0.020000
Training Epoch: 24 [8704/47500]	Loss: 0.3042	LR: 0.020000
Training Epoch: 24 [8960/47500]	Loss: 0.3638	LR: 0.020000
Training Epoch: 24 [9216/47500]	Loss: 0.2815	LR: 0.020000
Training Epoch: 24 [9472/47500]	Loss: 0.4081	LR: 0.020000
Training Epoch: 24 [9728/47500]	Loss: 0.4128	LR: 0.020000
Training Epoch: 24 [9984/47500]	Loss: 0.3598	LR: 0.020000
Training Epoch: 24 [10240/47500]	Loss: 0.3818	LR: 0.020000
Training Epoch: 24 [10496/47500]	Loss: 0.3179	LR: 0.020000
Training Epoch: 24 [10752/47500]	Loss: 0.4068	LR: 0.020000
Training Epoch: 24 [11008/47500]	Loss: 0.4497	LR: 0.020000
Training Epoch: 24 [11264/47500]	Loss: 0.3348	LR: 0.020000
Training Epoch: 24 [11520/47500]	Loss: 0.3594	LR: 0.020000
Training Epoch: 24 [11776/47500]	Loss: 0.3595	LR: 0.020000
Training Epoch: 24 [12032/47500]	Loss: 0.5018	LR: 0.020000
Training Epoch: 24 [12288/47500]	Loss: 0.4534	LR: 0.020000
Training Epoch: 24 [12544/47500]	Loss: 0.3728	LR: 0.020000
Training Epoch: 24 [12800/47500]	Loss: 0.4416	LR: 0.020000
Training Epoch: 24 [13056/47500]	Loss: 0.4083	LR: 0.020000
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Training Epoch: 24 [13568/47500]	Loss: 0.3718	LR: 0.020000
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Training Epoch: 24 [14336/47500]	Loss: 0.4614	LR: 0.020000
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Training Epoch: 24 [15616/47500]	Loss: 0.4561	LR: 0.020000
Training Epoch: 24 [15872/47500]	Loss: 0.4232	LR: 0.020000
Training Epoch: 24 [16128/47500]	Loss: 0.4146	LR: 0.020000
Training Epoch: 24 [16384/47500]	Loss: 0.3582	LR: 0.020000
Training Epoch: 24 [16640/47500]	Loss: 0.4496	LR: 0.020000
Training Epoch: 24 [16896/47500]	Loss: 0.3844	LR: 0.020000
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Training Epoch: 24 [18176/47500]	Loss: 0.3828	LR: 0.020000
Training Epoch: 24 [18432/47500]	Loss: 0.4252	LR: 0.020000
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Training Epoch: 24 [18944/47500]	Loss: 0.4174	LR: 0.020000
Training Epoch: 24 [19200/47500]	Loss: 0.5199	LR: 0.020000
Training Epoch: 24 [19456/47500]	Loss: 0.3428	LR: 0.020000
Training Epoch: 24 [19712/47500]	Loss: 0.3319	LR: 0.020000
Training Epoch: 24 [19968/47500]	Loss: 0.3904	LR: 0.020000
Training Epoch: 24 [20224/47500]	Loss: 0.4245	LR: 0.020000
Training Epoch: 24 [20480/47500]	Loss: 0.3754	LR: 0.020000
Training Epoch: 24 [20736/47500]	Loss: 0.4072	LR: 0.020000
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Training Epoch: 24 [21248/47500]	Loss: 0.5758	LR: 0.020000
Training Epoch: 24 [21504/47500]	Loss: 0.3760	LR: 0.020000
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Training Epoch: 24 [22016/47500]	Loss: 0.4583	LR: 0.020000
Training Epoch: 24 [22272/47500]	Loss: 0.3818	LR: 0.020000
Training Epoch: 24 [22528/47500]	Loss: 0.4809	LR: 0.020000
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Training Epoch: 24 [23040/47500]	Loss: 0.5026	LR: 0.020000
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Training Epoch: 24 [41728/47500]	Loss: 0.3963	LR: 0.020000
Training Epoch: 24 [41984/47500]	Loss: 0.3684	LR: 0.020000
Training Epoch: 24 [42240/47500]	Loss: 0.3611	LR: 0.020000
Training Epoch: 24 [42496/47500]	Loss: 0.4567	LR: 0.020000
Training Epoch: 24 [42752/47500]	Loss: 0.3836	LR: 0.020000
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Training Epoch: 24 [43264/47500]	Loss: 0.3960	LR: 0.020000
Training Epoch: 24 [43520/47500]	Loss: 0.3411	LR: 0.020000
Training Epoch: 24 [43776/47500]	Loss: 0.4543	LR: 0.020000
Training Epoch: 24 [44032/47500]	Loss: 0.4386	LR: 0.020000
Training Epoch: 24 [44288/47500]	Loss: 0.3866	LR: 0.020000
Training Epoch: 24 [44544/47500]	Loss: 0.3932	LR: 0.020000
Training Epoch: 24 [44800/47500]	Loss: 0.5034	LR: 0.020000
Training Epoch: 24 [45056/47500]	Loss: 0.3889	LR: 0.020000
Training Epoch: 24 [45312/47500]	Loss: 0.4088	LR: 0.020000
Training Epoch: 24 [45568/47500]	Loss: 0.4506	LR: 0.020000
Training Epoch: 24 [45824/47500]	Loss: 0.4751	LR: 0.020000
Training Epoch: 24 [46080/47500]	Loss: 0.3736	LR: 0.020000
Training Epoch: 24 [46336/47500]	Loss: 0.4241	LR: 0.020000
Training Epoch: 24 [46592/47500]	Loss: 0.3500	LR: 0.020000
Training Epoch: 24 [46848/47500]	Loss: 0.4571	LR: 0.020000
Training Epoch: 24 [47104/47500]	Loss: 0.4254	LR: 0.020000
Training Epoch: 24 [47360/47500]	Loss: 0.4192	LR: 0.020000
Training Epoch: 24 [47500/47500]	Loss: 0.3641	LR: 0.020000
Epoch 24 - Average Train Loss: 0.4020, Train Accuracy: 0.8667
Epoch 24 training time consumed: 28.43s
Evaluating Network.....
Test set: Epoch: 24, Average loss: 0.0033, Accuracy: 0.7641, Time consumed:0.88s
Training Epoch: 25 [256/47500]	Loss: 0.2766	LR: 0.020000
Training Epoch: 25 [512/47500]	Loss: 0.2959	LR: 0.020000
Training Epoch: 25 [768/47500]	Loss: 0.4171	LR: 0.020000
Training Epoch: 25 [1024/47500]	Loss: 0.3602	LR: 0.020000
Training Epoch: 25 [1280/47500]	Loss: 0.3497	LR: 0.020000
Training Epoch: 25 [1536/47500]	Loss: 0.3468	LR: 0.020000
Training Epoch: 25 [1792/47500]	Loss: 0.3410	LR: 0.020000
Training Epoch: 25 [2048/47500]	Loss: 0.2758	LR: 0.020000
Training Epoch: 25 [2304/47500]	Loss: 0.4560	LR: 0.020000
Training Epoch: 25 [2560/47500]	Loss: 0.3648	LR: 0.020000
Training Epoch: 25 [2816/47500]	Loss: 0.3350	LR: 0.020000
Training Epoch: 25 [3072/47500]	Loss: 0.3396	LR: 0.020000
Training Epoch: 25 [3328/47500]	Loss: 0.3195	LR: 0.020000
Training Epoch: 25 [3584/47500]	Loss: 0.3476	LR: 0.020000
Training Epoch: 25 [3840/47500]	Loss: 0.2802	LR: 0.020000
Training Epoch: 25 [4096/47500]	Loss: 0.2632	LR: 0.020000
Training Epoch: 25 [4352/47500]	Loss: 0.4042	LR: 0.020000
Training Epoch: 25 [4608/47500]	Loss: 0.4068	LR: 0.020000
Training Epoch: 25 [4864/47500]	Loss: 0.3296	LR: 0.020000
Training Epoch: 25 [5120/47500]	Loss: 0.3571	LR: 0.020000
Training Epoch: 25 [5376/47500]	Loss: 0.2805	LR: 0.020000
Training Epoch: 25 [5632/47500]	Loss: 0.3759	LR: 0.020000
Training Epoch: 25 [5888/47500]	Loss: 0.3284	LR: 0.020000
Training Epoch: 25 [6144/47500]	Loss: 0.3792	LR: 0.020000
Training Epoch: 25 [6400/47500]	Loss: 0.3832	LR: 0.020000
Training Epoch: 25 [6656/47500]	Loss: 0.3483	LR: 0.020000
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Training Epoch: 25 [7168/47500]	Loss: 0.3964	LR: 0.020000
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Training Epoch: 25 [7680/47500]	Loss: 0.3252	LR: 0.020000
Training Epoch: 25 [7936/47500]	Loss: 0.3956	LR: 0.020000
Training Epoch: 25 [8192/47500]	Loss: 0.4474	LR: 0.020000
Training Epoch: 25 [8448/47500]	Loss: 0.3695	LR: 0.020000
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Training Epoch: 25 [10496/47500]	Loss: 0.4194	LR: 0.020000
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Training Epoch: 25 [11008/47500]	Loss: 0.3099	LR: 0.020000
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Training Epoch: 25 [13312/47500]	Loss: 0.3408	LR: 0.020000
Training Epoch: 25 [13568/47500]	Loss: 0.4026	LR: 0.020000
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Training Epoch: 25 [15616/47500]	Loss: 0.3600	LR: 0.020000
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Training Epoch: 25 [16128/47500]	Loss: 0.4270	LR: 0.020000
Training Epoch: 25 [16384/47500]	Loss: 0.3971	LR: 0.020000
Training Epoch: 25 [16640/47500]	Loss: 0.3289	LR: 0.020000
Training Epoch: 25 [16896/47500]	Loss: 0.4211	LR: 0.020000
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Training Epoch: 25 [19200/47500]	Loss: 0.3771	LR: 0.020000
Training Epoch: 25 [19456/47500]	Loss: 0.4164	LR: 0.020000
Training Epoch: 25 [19712/47500]	Loss: 0.3114	LR: 0.020000
Training Epoch: 25 [19968/47500]	Loss: 0.3119	LR: 0.020000
Training Epoch: 25 [20224/47500]	Loss: 0.3649	LR: 0.020000
Training Epoch: 25 [20480/47500]	Loss: 0.4172	LR: 0.020000
Training Epoch: 25 [20736/47500]	Loss: 0.3315	LR: 0.020000
Training Epoch: 25 [20992/47500]	Loss: 0.3900	LR: 0.020000
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Training Epoch: 25 [21504/47500]	Loss: 0.3695	LR: 0.020000
Training Epoch: 25 [21760/47500]	Loss: 0.4780	LR: 0.020000
Training Epoch: 25 [22016/47500]	Loss: 0.2769	LR: 0.020000
Training Epoch: 25 [22272/47500]	Loss: 0.4982	LR: 0.020000
Training Epoch: 25 [22528/47500]	Loss: 0.3936	LR: 0.020000
Training Epoch: 25 [22784/47500]	Loss: 0.4138	LR: 0.020000
Training Epoch: 25 [23040/47500]	Loss: 0.3921	LR: 0.020000
Training Epoch: 25 [23296/47500]	Loss: 0.3133	LR: 0.020000
Training Epoch: 25 [23552/47500]	Loss: 0.4106	LR: 0.020000
Training Epoch: 25 [23808/47500]	Loss: 0.3441	LR: 0.020000
Training Epoch: 25 [24064/47500]	Loss: 0.4133	LR: 0.020000
Training Epoch: 25 [24320/47500]	Loss: 0.3724	LR: 0.020000
Training Epoch: 25 [24576/47500]	Loss: 0.3150	LR: 0.020000
Training Epoch: 25 [24832/47500]	Loss: 0.3838	LR: 0.020000
Training Epoch: 25 [25088/47500]	Loss: 0.2830	LR: 0.020000
Training Epoch: 25 [25344/47500]	Loss: 0.4410	LR: 0.020000
Training Epoch: 25 [25600/47500]	Loss: 0.4443	LR: 0.020000
Training Epoch: 25 [25856/47500]	Loss: 0.3754	LR: 0.020000
Training Epoch: 25 [26112/47500]	Loss: 0.3494	LR: 0.020000
Training Epoch: 25 [26368/47500]	Loss: 0.5614	LR: 0.020000
Training Epoch: 25 [26624/47500]	Loss: 0.4496	LR: 0.020000
Training Epoch: 25 [26880/47500]	Loss: 0.4376	LR: 0.020000
Training Epoch: 25 [27136/47500]	Loss: 0.3576	LR: 0.020000
Training Epoch: 25 [27392/47500]	Loss: 0.3261	LR: 0.020000
Training Epoch: 25 [27648/47500]	Loss: 0.3192	LR: 0.020000
Training Epoch: 25 [27904/47500]	Loss: 0.4102	LR: 0.020000
Training Epoch: 25 [28160/47500]	Loss: 0.3644	LR: 0.020000
Training Epoch: 25 [28416/47500]	Loss: 0.3672	LR: 0.020000
Training Epoch: 25 [28672/47500]	Loss: 0.3716	LR: 0.020000
Training Epoch: 25 [28928/47500]	Loss: 0.3177	LR: 0.020000
Training Epoch: 25 [29184/47500]	Loss: 0.3554	LR: 0.020000
Training Epoch: 25 [29440/47500]	Loss: 0.3305	LR: 0.020000
Training Epoch: 25 [29696/47500]	Loss: 0.4521	LR: 0.020000
Training Epoch: 25 [29952/47500]	Loss: 0.3679	LR: 0.020000
Training Epoch: 25 [30208/47500]	Loss: 0.3579	LR: 0.020000
Training Epoch: 25 [30464/47500]	Loss: 0.4202	LR: 0.020000
Training Epoch: 25 [30720/47500]	Loss: 0.4119	LR: 0.020000
Training Epoch: 25 [30976/47500]	Loss: 0.4451	LR: 0.020000
Training Epoch: 25 [31232/47500]	Loss: 0.3385	LR: 0.020000
Training Epoch: 25 [31488/47500]	Loss: 0.4110	LR: 0.020000
Training Epoch: 25 [31744/47500]	Loss: 0.5201	LR: 0.020000
Training Epoch: 25 [32000/47500]	Loss: 0.4554	LR: 0.020000
Training Epoch: 25 [32256/47500]	Loss: 0.4266	LR: 0.020000
Training Epoch: 25 [32512/47500]	Loss: 0.4307	LR: 0.020000
Training Epoch: 25 [32768/47500]	Loss: 0.3329	LR: 0.020000
Training Epoch: 25 [33024/47500]	Loss: 0.3780	LR: 0.020000
Training Epoch: 25 [33280/47500]	Loss: 0.3489	LR: 0.020000
Training Epoch: 25 [33536/47500]	Loss: 0.4999	LR: 0.020000
Training Epoch: 25 [33792/47500]	Loss: 0.3934	LR: 0.020000
Training Epoch: 25 [34048/47500]	Loss: 0.4484	LR: 0.020000
Training Epoch: 25 [34304/47500]	Loss: 0.3426	LR: 0.020000
Training Epoch: 25 [34560/47500]	Loss: 0.3213	LR: 0.020000
Training Epoch: 25 [34816/47500]	Loss: 0.3651	LR: 0.020000
Training Epoch: 25 [35072/47500]	Loss: 0.4028	LR: 0.020000
Training Epoch: 25 [35328/47500]	Loss: 0.4221	LR: 0.020000
Training Epoch: 25 [35584/47500]	Loss: 0.5062	LR: 0.020000
Training Epoch: 25 [35840/47500]	Loss: 0.3732	LR: 0.020000
Training Epoch: 25 [36096/47500]	Loss: 0.5098	LR: 0.020000
Training Epoch: 25 [36352/47500]	Loss: 0.4640	LR: 0.020000
Training Epoch: 25 [36608/47500]	Loss: 0.3496	LR: 0.020000
Training Epoch: 25 [36864/47500]	Loss: 0.3810	LR: 0.020000
Training Epoch: 25 [37120/47500]	Loss: 0.4390	LR: 0.020000
Training Epoch: 25 [37376/47500]	Loss: 0.4152	LR: 0.020000
Training Epoch: 25 [37632/47500]	Loss: 0.4866	LR: 0.020000
Training Epoch: 25 [37888/47500]	Loss: 0.4630	LR: 0.020000
Training Epoch: 25 [38144/47500]	Loss: 0.3456	LR: 0.020000
Training Epoch: 25 [38400/47500]	Loss: 0.4125	LR: 0.020000
Training Epoch: 25 [38656/47500]	Loss: 0.3242	LR: 0.020000
Training Epoch: 25 [38912/47500]	Loss: 0.4714	LR: 0.020000
Training Epoch: 25 [39168/47500]	Loss: 0.4144	LR: 0.020000
Training Epoch: 25 [39424/47500]	Loss: 0.3284	LR: 0.020000
Training Epoch: 25 [39680/47500]	Loss: 0.3778	LR: 0.020000
Training Epoch: 25 [39936/47500]	Loss: 0.2960	LR: 0.020000
Training Epoch: 25 [40192/47500]	Loss: 0.3407	LR: 0.020000
Training Epoch: 25 [40448/47500]	Loss: 0.3767	LR: 0.020000
Training Epoch: 25 [40704/47500]	Loss: 0.4633	LR: 0.020000
Training Epoch: 25 [40960/47500]	Loss: 0.4044	LR: 0.020000
Training Epoch: 25 [41216/47500]	Loss: 0.5110	LR: 0.020000
Training Epoch: 25 [41472/47500]	Loss: 0.4633	LR: 0.020000
Training Epoch: 25 [41728/47500]	Loss: 0.3914	LR: 0.020000
Training Epoch: 25 [41984/47500]	Loss: 0.4246	LR: 0.020000
Training Epoch: 25 [42240/47500]	Loss: 0.4334	LR: 0.020000
Training Epoch: 25 [42496/47500]	Loss: 0.4171	LR: 0.020000
Training Epoch: 25 [42752/47500]	Loss: 0.4911	LR: 0.020000
Training Epoch: 25 [43008/47500]	Loss: 0.3074	LR: 0.020000
Training Epoch: 25 [43264/47500]	Loss: 0.3815	LR: 0.020000
Training Epoch: 25 [43520/47500]	Loss: 0.4769	LR: 0.020000
Training Epoch: 25 [43776/47500]	Loss: 0.3462	LR: 0.020000
Training Epoch: 25 [44032/47500]	Loss: 0.3721	LR: 0.020000
Training Epoch: 25 [44288/47500]	Loss: 0.3830	LR: 0.020000
Training Epoch: 25 [44544/47500]	Loss: 0.3756	LR: 0.020000
Training Epoch: 25 [44800/47500]	Loss: 0.4230	LR: 0.020000
Training Epoch: 25 [45056/47500]	Loss: 0.3666	LR: 0.020000
Training Epoch: 25 [45312/47500]	Loss: 0.4068	LR: 0.020000
Training Epoch: 25 [45568/47500]	Loss: 0.4030	LR: 0.020000
Training Epoch: 25 [45824/47500]	Loss: 0.2985	LR: 0.020000
Training Epoch: 25 [46080/47500]	Loss: 0.3730	LR: 0.020000
Training Epoch: 25 [46336/47500]	Loss: 0.3176	LR: 0.020000
Training Epoch: 25 [46592/47500]	Loss: 0.3841	LR: 0.020000
Training Epoch: 25 [46848/47500]	Loss: 0.3815	LR: 0.020000
Training Epoch: 25 [47104/47500]	Loss: 0.3119	LR: 0.020000
Training Epoch: 25 [47360/47500]	Loss: 0.4438	LR: 0.020000
Training Epoch: 25 [47500/47500]	Loss: 0.3699	LR: 0.020000
Epoch 25 - Average Train Loss: 0.3809, Train Accuracy: 0.8724
Epoch 25 training time consumed: 28.20s
Evaluating Network.....
Test set: Epoch: 25, Average loss: 0.0033, Accuracy: 0.7566, Time consumed:0.90s
Training Epoch: 26 [256/47500]	Loss: 0.3217	LR: 0.020000
Training Epoch: 26 [512/47500]	Loss: 0.2549	LR: 0.020000
Training Epoch: 26 [768/47500]	Loss: 0.3172	LR: 0.020000
Training Epoch: 26 [1024/47500]	Loss: 0.4094	LR: 0.020000
Training Epoch: 26 [1280/47500]	Loss: 0.3475	LR: 0.020000
Training Epoch: 26 [1536/47500]	Loss: 0.3423	LR: 0.020000
Training Epoch: 26 [1792/47500]	Loss: 0.3141	LR: 0.020000
Training Epoch: 26 [2048/47500]	Loss: 0.4303	LR: 0.020000
Training Epoch: 26 [2304/47500]	Loss: 0.2957	LR: 0.020000
Training Epoch: 26 [2560/47500]	Loss: 0.3625	LR: 0.020000
Training Epoch: 26 [2816/47500]	Loss: 0.3054	LR: 0.020000
Training Epoch: 26 [3072/47500]	Loss: 0.3172	LR: 0.020000
Training Epoch: 26 [3328/47500]	Loss: 0.3407	LR: 0.020000
Training Epoch: 26 [3584/47500]	Loss: 0.3873	LR: 0.020000
Training Epoch: 26 [3840/47500]	Loss: 0.3166	LR: 0.020000
Training Epoch: 26 [4096/47500]	Loss: 0.4314	LR: 0.020000
Training Epoch: 26 [4352/47500]	Loss: 0.3328	LR: 0.020000
Training Epoch: 26 [4608/47500]	Loss: 0.3232	LR: 0.020000
Training Epoch: 26 [4864/47500]	Loss: 0.3080	LR: 0.020000
Training Epoch: 26 [5120/47500]	Loss: 0.2671	LR: 0.020000
Training Epoch: 26 [5376/47500]	Loss: 0.2972	LR: 0.020000
Training Epoch: 26 [5632/47500]	Loss: 0.3796	LR: 0.020000
Training Epoch: 26 [5888/47500]	Loss: 0.3243	LR: 0.020000
Training Epoch: 26 [6144/47500]	Loss: 0.4031	LR: 0.020000
Training Epoch: 26 [6400/47500]	Loss: 0.3617	LR: 0.020000
Training Epoch: 26 [6656/47500]	Loss: 0.2976	LR: 0.020000
Training Epoch: 26 [6912/47500]	Loss: 0.2942	LR: 0.020000
Training Epoch: 26 [7168/47500]	Loss: 0.4101	LR: 0.020000
Training Epoch: 26 [7424/47500]	Loss: 0.3426	LR: 0.020000
Training Epoch: 26 [7680/47500]	Loss: 0.3366	LR: 0.020000
Training Epoch: 26 [7936/47500]	Loss: 0.3532	LR: 0.020000
Training Epoch: 26 [8192/47500]	Loss: 0.2926	LR: 0.020000
Training Epoch: 26 [8448/47500]	Loss: 0.3808	LR: 0.020000
Training Epoch: 26 [8704/47500]	Loss: 0.2546	LR: 0.020000
Training Epoch: 26 [8960/47500]	Loss: 0.3009	LR: 0.020000
Training Epoch: 26 [9216/47500]	Loss: 0.3331	LR: 0.020000
Training Epoch: 26 [9472/47500]	Loss: 0.3473	LR: 0.020000
Training Epoch: 26 [9728/47500]	Loss: 0.2991	LR: 0.020000
Training Epoch: 26 [9984/47500]	Loss: 0.4074	LR: 0.020000
Training Epoch: 26 [10240/47500]	Loss: 0.2963	LR: 0.020000
Training Epoch: 26 [10496/47500]	Loss: 0.3795	LR: 0.020000
Training Epoch: 26 [10752/47500]	Loss: 0.3808	LR: 0.020000
Training Epoch: 26 [11008/47500]	Loss: 0.2881	LR: 0.020000
Training Epoch: 26 [11264/47500]	Loss: 0.3429	LR: 0.020000
Training Epoch: 26 [11520/47500]	Loss: 0.3362	LR: 0.020000
Training Epoch: 26 [11776/47500]	Loss: 0.3819	LR: 0.020000
Training Epoch: 26 [12032/47500]	Loss: 0.3163	LR: 0.020000
Training Epoch: 26 [12288/47500]	Loss: 0.4046	LR: 0.020000
Training Epoch: 26 [12544/47500]	Loss: 0.3599	LR: 0.020000
Training Epoch: 26 [12800/47500]	Loss: 0.3689	LR: 0.020000
Training Epoch: 26 [13056/47500]	Loss: 0.3559	LR: 0.020000
Training Epoch: 26 [13312/47500]	Loss: 0.3062	LR: 0.020000
Training Epoch: 26 [13568/47500]	Loss: 0.4671	LR: 0.020000
Training Epoch: 26 [13824/47500]	Loss: 0.4340	LR: 0.020000
Training Epoch: 26 [14080/47500]	Loss: 0.3243	LR: 0.020000
Training Epoch: 26 [14336/47500]	Loss: 0.3089	LR: 0.020000
Training Epoch: 26 [14592/47500]	Loss: 0.4567	LR: 0.020000
Training Epoch: 26 [14848/47500]	Loss: 0.3229	LR: 0.020000
Training Epoch: 26 [15104/47500]	Loss: 0.4198	LR: 0.020000
Training Epoch: 26 [15360/47500]	Loss: 0.3245	LR: 0.020000
Training Epoch: 26 [15616/47500]	Loss: 0.3352	LR: 0.020000
Training Epoch: 26 [15872/47500]	Loss: 0.3456	LR: 0.020000
Training Epoch: 26 [16128/47500]	Loss: 0.3990	LR: 0.020000
Training Epoch: 26 [16384/47500]	Loss: 0.3532	LR: 0.020000
Training Epoch: 26 [16640/47500]	Loss: 0.3177	LR: 0.020000
Training Epoch: 26 [16896/47500]	Loss: 0.3828	LR: 0.020000
Training Epoch: 26 [17152/47500]	Loss: 0.3934	LR: 0.020000
Training Epoch: 26 [17408/47500]	Loss: 0.3508	LR: 0.020000
Training Epoch: 26 [17664/47500]	Loss: 0.4898	LR: 0.020000
Training Epoch: 26 [17920/47500]	Loss: 0.4342	LR: 0.020000
Training Epoch: 26 [18176/47500]	Loss: 0.2950	LR: 0.020000
Training Epoch: 26 [18432/47500]	Loss: 0.2500	LR: 0.020000
Training Epoch: 26 [18688/47500]	Loss: 0.3523	LR: 0.020000
Training Epoch: 26 [18944/47500]	Loss: 0.3473	LR: 0.020000
Training Epoch: 26 [19200/47500]	Loss: 0.3580	LR: 0.020000
Training Epoch: 26 [19456/47500]	Loss: 0.4431	LR: 0.020000
Training Epoch: 26 [19712/47500]	Loss: 0.4062	LR: 0.020000
Training Epoch: 26 [19968/47500]	Loss: 0.3223	LR: 0.020000
Training Epoch: 26 [20224/47500]	Loss: 0.3273	LR: 0.020000
Training Epoch: 26 [20480/47500]	Loss: 0.2431	LR: 0.020000
Training Epoch: 26 [20736/47500]	Loss: 0.3306	LR: 0.020000
Training Epoch: 26 [20992/47500]	Loss: 0.3566	LR: 0.020000
Training Epoch: 26 [21248/47500]	Loss: 0.4156	LR: 0.020000
Training Epoch: 26 [21504/47500]	Loss: 0.4007	LR: 0.020000
Training Epoch: 26 [21760/47500]	Loss: 0.3424	LR: 0.020000
Training Epoch: 26 [22016/47500]	Loss: 0.3579	LR: 0.020000
Training Epoch: 26 [22272/47500]	Loss: 0.3594	LR: 0.020000
Training Epoch: 26 [22528/47500]	Loss: 0.4388	LR: 0.020000
Training Epoch: 26 [22784/47500]	Loss: 0.2914	LR: 0.020000
Training Epoch: 26 [23040/47500]	Loss: 0.3912	LR: 0.020000
Training Epoch: 26 [23296/47500]	Loss: 0.3534	LR: 0.020000
Training Epoch: 26 [23552/47500]	Loss: 0.4226	LR: 0.020000
Training Epoch: 26 [23808/47500]	Loss: 0.3735	LR: 0.020000
Training Epoch: 26 [24064/47500]	Loss: 0.4405	LR: 0.020000
Training Epoch: 26 [24320/47500]	Loss: 0.3472	LR: 0.020000
Training Epoch: 26 [24576/47500]	Loss: 0.3831	LR: 0.020000
Training Epoch: 26 [24832/47500]	Loss: 0.3284	LR: 0.020000
Training Epoch: 26 [25088/47500]	Loss: 0.3307	LR: 0.020000
Training Epoch: 26 [25344/47500]	Loss: 0.4474	LR: 0.020000
Training Epoch: 26 [25600/47500]	Loss: 0.3936	LR: 0.020000
Training Epoch: 26 [25856/47500]	Loss: 0.3427	LR: 0.020000
Training Epoch: 26 [26112/47500]	Loss: 0.3569	LR: 0.020000
Training Epoch: 26 [26368/47500]	Loss: 0.4225	LR: 0.020000
Training Epoch: 26 [26624/47500]	Loss: 0.3240	LR: 0.020000
Training Epoch: 26 [26880/47500]	Loss: 0.4487	LR: 0.020000
Training Epoch: 26 [27136/47500]	Loss: 0.4211	LR: 0.020000
Training Epoch: 26 [27392/47500]	Loss: 0.3580	LR: 0.020000
Training Epoch: 26 [27648/47500]	Loss: 0.2520	LR: 0.020000
Training Epoch: 26 [27904/47500]	Loss: 0.3336	LR: 0.020000
Training Epoch: 26 [28160/47500]	Loss: 0.2873	LR: 0.020000
Training Epoch: 26 [28416/47500]	Loss: 0.4310	LR: 0.020000
Training Epoch: 26 [28672/47500]	Loss: 0.3539	LR: 0.020000
Training Epoch: 26 [28928/47500]	Loss: 0.3723	LR: 0.020000
Training Epoch: 26 [29184/47500]	Loss: 0.3784	LR: 0.020000
Training Epoch: 26 [29440/47500]	Loss: 0.3270	LR: 0.020000
Training Epoch: 26 [29696/47500]	Loss: 0.4369	LR: 0.020000
Training Epoch: 26 [29952/47500]	Loss: 0.4121	LR: 0.020000
Training Epoch: 26 [30208/47500]	Loss: 0.3166	LR: 0.020000
Training Epoch: 26 [30464/47500]	Loss: 0.2921	LR: 0.020000
Training Epoch: 26 [30720/47500]	Loss: 0.4434	LR: 0.020000
Training Epoch: 26 [30976/47500]	Loss: 0.3438	LR: 0.020000
Training Epoch: 26 [31232/47500]	Loss: 0.4609	LR: 0.020000
Training Epoch: 26 [31488/47500]	Loss: 0.4124	LR: 0.020000
Training Epoch: 26 [31744/47500]	Loss: 0.4113	LR: 0.020000
Training Epoch: 26 [32000/47500]	Loss: 0.2835	LR: 0.020000
Training Epoch: 26 [32256/47500]	Loss: 0.3624	LR: 0.020000
Training Epoch: 26 [32512/47500]	Loss: 0.3545	LR: 0.020000
Training Epoch: 26 [32768/47500]	Loss: 0.3782	LR: 0.020000
Training Epoch: 26 [33024/47500]	Loss: 0.3215	LR: 0.020000
Training Epoch: 26 [33280/47500]	Loss: 0.4162	LR: 0.020000
Training Epoch: 26 [33536/47500]	Loss: 0.4141	LR: 0.020000
Training Epoch: 26 [33792/47500]	Loss: 0.3722	LR: 0.020000
Training Epoch: 26 [34048/47500]	Loss: 0.3819	LR: 0.020000
Training Epoch: 26 [34304/47500]	Loss: 0.3083	LR: 0.020000
Training Epoch: 26 [34560/47500]	Loss: 0.3712	LR: 0.020000
Training Epoch: 26 [34816/47500]	Loss: 0.4013	LR: 0.020000
Training Epoch: 26 [35072/47500]	Loss: 0.3896	LR: 0.020000
Training Epoch: 26 [35328/47500]	Loss: 0.3622	LR: 0.020000
Training Epoch: 26 [35584/47500]	Loss: 0.3735	LR: 0.020000
Training Epoch: 26 [35840/47500]	Loss: 0.4651	LR: 0.020000
Training Epoch: 26 [36096/47500]	Loss: 0.4658	LR: 0.020000
Training Epoch: 26 [36352/47500]	Loss: 0.3926	LR: 0.020000
Training Epoch: 26 [36608/47500]	Loss: 0.4225	LR: 0.020000
Training Epoch: 26 [36864/47500]	Loss: 0.3506	LR: 0.020000
Training Epoch: 26 [37120/47500]	Loss: 0.3295	LR: 0.020000
Training Epoch: 26 [37376/47500]	Loss: 0.4435	LR: 0.020000
Training Epoch: 26 [37632/47500]	Loss: 0.3410	LR: 0.020000
Training Epoch: 26 [37888/47500]	Loss: 0.4090	LR: 0.020000
Training Epoch: 26 [38144/47500]	Loss: 0.4114	LR: 0.020000
Training Epoch: 26 [38400/47500]	Loss: 0.3607	LR: 0.020000
Training Epoch: 26 [38656/47500]	Loss: 0.3917	LR: 0.020000
Training Epoch: 26 [38912/47500]	Loss: 0.3378	LR: 0.020000
Training Epoch: 26 [39168/47500]	Loss: 0.3440	LR: 0.020000
Training Epoch: 26 [39424/47500]	Loss: 0.4511	LR: 0.020000
Training Epoch: 26 [39680/47500]	Loss: 0.3622	LR: 0.020000
Training Epoch: 26 [39936/47500]	Loss: 0.3553	LR: 0.020000
Training Epoch: 26 [40192/47500]	Loss: 0.3973	LR: 0.020000
Training Epoch: 26 [40448/47500]	Loss: 0.4052	LR: 0.020000
Training Epoch: 26 [40704/47500]	Loss: 0.3870	LR: 0.020000
Training Epoch: 26 [40960/47500]	Loss: 0.3486	LR: 0.020000
Training Epoch: 26 [41216/47500]	Loss: 0.3999	LR: 0.020000
Training Epoch: 26 [41472/47500]	Loss: 0.4847	LR: 0.020000
Training Epoch: 26 [41728/47500]	Loss: 0.4513	LR: 0.020000
Training Epoch: 26 [41984/47500]	Loss: 0.4499	LR: 0.020000
Training Epoch: 26 [42240/47500]	Loss: 0.3477	LR: 0.020000
Training Epoch: 26 [42496/47500]	Loss: 0.3532	LR: 0.020000
Training Epoch: 26 [42752/47500]	Loss: 0.3913	LR: 0.020000
Training Epoch: 26 [43008/47500]	Loss: 0.4005	LR: 0.020000
Training Epoch: 26 [43264/47500]	Loss: 0.4807	LR: 0.020000
Training Epoch: 26 [43520/47500]	Loss: 0.3827	LR: 0.020000
Training Epoch: 26 [43776/47500]	Loss: 0.4958	LR: 0.020000
Training Epoch: 26 [44032/47500]	Loss: 0.4682	LR: 0.020000
Training Epoch: 26 [44288/47500]	Loss: 0.3604	LR: 0.020000
Training Epoch: 26 [44544/47500]	Loss: 0.4433	LR: 0.020000
Training Epoch: 26 [44800/47500]	Loss: 0.3617	LR: 0.020000
Training Epoch: 26 [45056/47500]	Loss: 0.3974	LR: 0.020000
Training Epoch: 26 [45312/47500]	Loss: 0.4198	LR: 0.020000
Training Epoch: 26 [45568/47500]	Loss: 0.3508	LR: 0.020000
Training Epoch: 26 [45824/47500]	Loss: 0.4197	LR: 0.020000
Training Epoch: 26 [46080/47500]	Loss: 0.5199	LR: 0.020000
Training Epoch: 26 [46336/47500]	Loss: 0.3218	LR: 0.020000
Training Epoch: 26 [46592/47500]	Loss: 0.4030	LR: 0.020000
Training Epoch: 26 [46848/47500]	Loss: 0.4459	LR: 0.020000
Training Epoch: 26 [47104/47500]	Loss: 0.3586	LR: 0.020000
Training Epoch: 26 [47360/47500]	Loss: 0.4481	LR: 0.020000
Training Epoch: 26 [47500/47500]	Loss: 0.3833	LR: 0.020000
Epoch 26 - Average Train Loss: 0.3694, Train Accuracy: 0.8774
Epoch 26 training time consumed: 28.43s
Evaluating Network.....
Test set: Epoch: 26, Average loss: 0.0032, Accuracy: 0.7666, Time consumed:0.99s
Training Epoch: 27 [256/47500]	Loss: 0.3731	LR: 0.020000
Training Epoch: 27 [512/47500]	Loss: 0.3469	LR: 0.020000
Training Epoch: 27 [768/47500]	Loss: 0.2479	LR: 0.020000
Training Epoch: 27 [1024/47500]	Loss: 0.3411	LR: 0.020000
Training Epoch: 27 [1280/47500]	Loss: 0.3775	LR: 0.020000
Training Epoch: 27 [1536/47500]	Loss: 0.2986	LR: 0.020000
Training Epoch: 27 [1792/47500]	Loss: 0.2874	LR: 0.020000
Training Epoch: 27 [2048/47500]	Loss: 0.3744	LR: 0.020000
Training Epoch: 27 [2304/47500]	Loss: 0.4088	LR: 0.020000
Training Epoch: 27 [2560/47500]	Loss: 0.3358	LR: 0.020000
Training Epoch: 27 [2816/47500]	Loss: 0.2876	LR: 0.020000
Training Epoch: 27 [3072/47500]	Loss: 0.4137	LR: 0.020000
Training Epoch: 27 [3328/47500]	Loss: 0.3329	LR: 0.020000
Training Epoch: 27 [3584/47500]	Loss: 0.2916	LR: 0.020000
Training Epoch: 27 [3840/47500]	Loss: 0.3512	LR: 0.020000
Training Epoch: 27 [4096/47500]	Loss: 0.3079	LR: 0.020000
Training Epoch: 27 [4352/47500]	Loss: 0.2945	LR: 0.020000
Training Epoch: 27 [4608/47500]	Loss: 0.2936	LR: 0.020000
Training Epoch: 27 [4864/47500]	Loss: 0.3437	LR: 0.020000
Training Epoch: 27 [5120/47500]	Loss: 0.3301	LR: 0.020000
Training Epoch: 27 [5376/47500]	Loss: 0.3137	LR: 0.020000
Training Epoch: 27 [5632/47500]	Loss: 0.3631	LR: 0.020000
Training Epoch: 27 [5888/47500]	Loss: 0.3302	LR: 0.020000
Training Epoch: 27 [6144/47500]	Loss: 0.3354	LR: 0.020000
Training Epoch: 27 [6400/47500]	Loss: 0.2743	LR: 0.020000
Training Epoch: 27 [6656/47500]	Loss: 0.3072	LR: 0.020000
Training Epoch: 27 [6912/47500]	Loss: 0.2738	LR: 0.020000
Training Epoch: 27 [7168/47500]	Loss: 0.4472	LR: 0.020000
Training Epoch: 27 [7424/47500]	Loss: 0.2460	LR: 0.020000
Training Epoch: 27 [7680/47500]	Loss: 0.2674	LR: 0.020000
Training Epoch: 27 [7936/47500]	Loss: 0.3389	LR: 0.020000
Training Epoch: 27 [8192/47500]	Loss: 0.2592	LR: 0.020000
Training Epoch: 27 [8448/47500]	Loss: 0.3234	LR: 0.020000
Training Epoch: 27 [8704/47500]	Loss: 0.3001	LR: 0.020000
Training Epoch: 27 [8960/47500]	Loss: 0.3557	LR: 0.020000
Training Epoch: 27 [9216/47500]	Loss: 0.4011	LR: 0.020000
Training Epoch: 27 [9472/47500]	Loss: 0.2767	LR: 0.020000
Training Epoch: 27 [9728/47500]	Loss: 0.3537	LR: 0.020000
Training Epoch: 27 [9984/47500]	Loss: 0.3208	LR: 0.020000
Training Epoch: 27 [10240/47500]	Loss: 0.4444	LR: 0.020000
Training Epoch: 27 [10496/47500]	Loss: 0.3181	LR: 0.020000
Training Epoch: 27 [10752/47500]	Loss: 0.3513	LR: 0.020000
Training Epoch: 27 [11008/47500]	Loss: 0.4738	LR: 0.020000
Training Epoch: 27 [11264/47500]	Loss: 0.3923	LR: 0.020000
Training Epoch: 27 [11520/47500]	Loss: 0.3285	LR: 0.020000
Training Epoch: 27 [11776/47500]	Loss: 0.3602	LR: 0.020000
Training Epoch: 27 [12032/47500]	Loss: 0.3117	LR: 0.020000
Training Epoch: 27 [12288/47500]	Loss: 0.3457	LR: 0.020000
Training Epoch: 27 [12544/47500]	Loss: 0.3192	LR: 0.020000
Training Epoch: 27 [12800/47500]	Loss: 0.3667	LR: 0.020000
Training Epoch: 27 [13056/47500]	Loss: 0.3061	LR: 0.020000
Training Epoch: 27 [13312/47500]	Loss: 0.3123	LR: 0.020000
Training Epoch: 27 [13568/47500]	Loss: 0.3032	LR: 0.020000
Training Epoch: 27 [13824/47500]	Loss: 0.3111	LR: 0.020000
Training Epoch: 27 [14080/47500]	Loss: 0.3670	LR: 0.020000
Training Epoch: 27 [14336/47500]	Loss: 0.2919	LR: 0.020000
Training Epoch: 27 [14592/47500]	Loss: 0.2817	LR: 0.020000
Training Epoch: 27 [14848/47500]	Loss: 0.3583	LR: 0.020000
Training Epoch: 27 [15104/47500]	Loss: 0.3974	LR: 0.020000
Training Epoch: 27 [15360/47500]	Loss: 0.2698	LR: 0.020000
Training Epoch: 27 [15616/47500]	Loss: 0.3159	LR: 0.020000
Training Epoch: 27 [15872/47500]	Loss: 0.3674	LR: 0.020000
Training Epoch: 27 [16128/47500]	Loss: 0.3212	LR: 0.020000
Training Epoch: 27 [16384/47500]	Loss: 0.3373	LR: 0.020000
Training Epoch: 27 [16640/47500]	Loss: 0.3423	LR: 0.020000
Training Epoch: 27 [16896/47500]	Loss: 0.4034	LR: 0.020000
Training Epoch: 27 [17152/47500]	Loss: 0.3621	LR: 0.020000
Training Epoch: 27 [17408/47500]	Loss: 0.3290	LR: 0.020000
Training Epoch: 27 [17664/47500]	Loss: 0.3211	LR: 0.020000
Training Epoch: 27 [17920/47500]	Loss: 0.3622	LR: 0.020000
Training Epoch: 27 [18176/47500]	Loss: 0.4148	LR: 0.020000
Training Epoch: 27 [18432/47500]	Loss: 0.4011	LR: 0.020000
Training Epoch: 27 [18688/47500]	Loss: 0.3322	LR: 0.020000
Training Epoch: 27 [18944/47500]	Loss: 0.2861	LR: 0.020000
Training Epoch: 27 [19200/47500]	Loss: 0.3855	LR: 0.020000
Training Epoch: 27 [19456/47500]	Loss: 0.3414	LR: 0.020000
Training Epoch: 27 [19712/47500]	Loss: 0.2798	LR: 0.020000
Training Epoch: 27 [19968/47500]	Loss: 0.3089	LR: 0.020000
Training Epoch: 27 [20224/47500]	Loss: 0.2815	LR: 0.020000
Training Epoch: 27 [20480/47500]	Loss: 0.3643	LR: 0.020000
Training Epoch: 27 [20736/47500]	Loss: 0.3710	LR: 0.020000
Training Epoch: 27 [20992/47500]	Loss: 0.3528	LR: 0.020000
Training Epoch: 27 [21248/47500]	Loss: 0.2748	LR: 0.020000
Training Epoch: 27 [21504/47500]	Loss: 0.3620	LR: 0.020000
Training Epoch: 27 [21760/47500]	Loss: 0.4120	LR: 0.020000
Training Epoch: 27 [22016/47500]	Loss: 0.3267	LR: 0.020000
Training Epoch: 27 [22272/47500]	Loss: 0.3087	LR: 0.020000
Training Epoch: 27 [22528/47500]	Loss: 0.3263	LR: 0.020000
Training Epoch: 27 [22784/47500]	Loss: 0.4336	LR: 0.020000
Training Epoch: 27 [23040/47500]	Loss: 0.2905	LR: 0.020000
Training Epoch: 27 [23296/47500]	Loss: 0.3646	LR: 0.020000
Training Epoch: 27 [23552/47500]	Loss: 0.3630	LR: 0.020000
Training Epoch: 27 [23808/47500]	Loss: 0.3729	LR: 0.020000
Training Epoch: 27 [24064/47500]	Loss: 0.4352	LR: 0.020000
Training Epoch: 27 [24320/47500]	Loss: 0.3543	LR: 0.020000
Training Epoch: 27 [24576/47500]	Loss: 0.3188	LR: 0.020000
Training Epoch: 27 [24832/47500]	Loss: 0.4291	LR: 0.020000
Training Epoch: 27 [25088/47500]	Loss: 0.3125	LR: 0.020000
Training Epoch: 27 [25344/47500]	Loss: 0.3542	LR: 0.020000
Training Epoch: 27 [25600/47500]	Loss: 0.3264	LR: 0.020000
Training Epoch: 27 [25856/47500]	Loss: 0.3822	LR: 0.020000
Training Epoch: 27 [26112/47500]	Loss: 0.3609	LR: 0.020000
Training Epoch: 27 [26368/47500]	Loss: 0.4513	LR: 0.020000
Training Epoch: 27 [26624/47500]	Loss: 0.4993	LR: 0.020000
Training Epoch: 27 [26880/47500]	Loss: 0.3186	LR: 0.020000
Training Epoch: 27 [27136/47500]	Loss: 0.3211	LR: 0.020000
Training Epoch: 27 [27392/47500]	Loss: 0.2370	LR: 0.020000
Training Epoch: 27 [27648/47500]	Loss: 0.4951	LR: 0.020000
Training Epoch: 27 [27904/47500]	Loss: 0.3645	LR: 0.020000
Training Epoch: 27 [28160/47500]	Loss: 0.3041	LR: 0.020000
Training Epoch: 27 [28416/47500]	Loss: 0.4361	LR: 0.020000
Training Epoch: 27 [28672/47500]	Loss: 0.3775	LR: 0.020000
Training Epoch: 27 [28928/47500]	Loss: 0.4787	LR: 0.020000
Training Epoch: 27 [29184/47500]	Loss: 0.3925	LR: 0.020000
Training Epoch: 27 [29440/47500]	Loss: 0.4581	LR: 0.020000
Training Epoch: 27 [29696/47500]	Loss: 0.4498	LR: 0.020000
Training Epoch: 27 [29952/47500]	Loss: 0.3499	LR: 0.020000
Training Epoch: 27 [30208/47500]	Loss: 0.3581	LR: 0.020000
Training Epoch: 27 [30464/47500]	Loss: 0.3810	LR: 0.020000
Training Epoch: 27 [30720/47500]	Loss: 0.3578	LR: 0.020000
Training Epoch: 27 [30976/47500]	Loss: 0.3713	LR: 0.020000
Training Epoch: 27 [31232/47500]	Loss: 0.3320	LR: 0.020000
Training Epoch: 27 [31488/47500]	Loss: 0.3529	LR: 0.020000
Training Epoch: 27 [31744/47500]	Loss: 0.3213	LR: 0.020000
Training Epoch: 27 [32000/47500]	Loss: 0.3503	LR: 0.020000
Training Epoch: 27 [32256/47500]	Loss: 0.3427	LR: 0.020000
Training Epoch: 27 [32512/47500]	Loss: 0.4350	LR: 0.020000
Training Epoch: 27 [32768/47500]	Loss: 0.3798	LR: 0.020000
Training Epoch: 27 [33024/47500]	Loss: 0.3806	LR: 0.020000
Training Epoch: 27 [33280/47500]	Loss: 0.3274	LR: 0.020000
Training Epoch: 27 [33536/47500]	Loss: 0.3639	LR: 0.020000
Training Epoch: 27 [33792/47500]	Loss: 0.4369	LR: 0.020000
Training Epoch: 27 [34048/47500]	Loss: 0.3848	LR: 0.020000
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Training Epoch: 27 [34560/47500]	Loss: 0.3007	LR: 0.020000
Training Epoch: 27 [34816/47500]	Loss: 0.3272	LR: 0.020000
Training Epoch: 27 [35072/47500]	Loss: 0.3862	LR: 0.020000
Training Epoch: 27 [35328/47500]	Loss: 0.4154	LR: 0.020000
Training Epoch: 27 [35584/47500]	Loss: 0.3751	LR: 0.020000
Training Epoch: 27 [35840/47500]	Loss: 0.4142	LR: 0.020000
Training Epoch: 27 [36096/47500]	Loss: 0.4108	LR: 0.020000
Training Epoch: 27 [36352/47500]	Loss: 0.3449	LR: 0.020000
Training Epoch: 27 [36608/47500]	Loss: 0.3822	LR: 0.020000
Training Epoch: 27 [36864/47500]	Loss: 0.4006	LR: 0.020000
Training Epoch: 27 [37120/47500]	Loss: 0.4086	LR: 0.020000
Training Epoch: 27 [37376/47500]	Loss: 0.3962	LR: 0.020000
Training Epoch: 27 [37632/47500]	Loss: 0.4125	LR: 0.020000
Training Epoch: 27 [37888/47500]	Loss: 0.3399	LR: 0.020000
Training Epoch: 27 [38144/47500]	Loss: 0.4425	LR: 0.020000
Training Epoch: 27 [38400/47500]	Loss: 0.3442	LR: 0.020000
Training Epoch: 27 [38656/47500]	Loss: 0.3424	LR: 0.020000
Training Epoch: 27 [38912/47500]	Loss: 0.3428	LR: 0.020000
Training Epoch: 27 [39168/47500]	Loss: 0.3459	LR: 0.020000
Training Epoch: 27 [39424/47500]	Loss: 0.4096	LR: 0.020000
Training Epoch: 27 [39680/47500]	Loss: 0.3616	LR: 0.020000
Training Epoch: 27 [39936/47500]	Loss: 0.4208	LR: 0.020000
Training Epoch: 27 [40192/47500]	Loss: 0.3327	LR: 0.020000
Training Epoch: 27 [40448/47500]	Loss: 0.4641	LR: 0.020000
Training Epoch: 27 [40704/47500]	Loss: 0.5437	LR: 0.020000
Training Epoch: 27 [40960/47500]	Loss: 0.3429	LR: 0.020000
Training Epoch: 27 [41216/47500]	Loss: 0.3700	LR: 0.020000
Training Epoch: 27 [41472/47500]	Loss: 0.4567	LR: 0.020000
Training Epoch: 27 [41728/47500]	Loss: 0.3162	LR: 0.020000
Training Epoch: 27 [41984/47500]	Loss: 0.4458	LR: 0.020000
Training Epoch: 27 [42240/47500]	Loss: 0.3891	LR: 0.020000
Training Epoch: 27 [42496/47500]	Loss: 0.4156	LR: 0.020000
Training Epoch: 27 [42752/47500]	Loss: 0.3252	LR: 0.020000
Training Epoch: 27 [43008/47500]	Loss: 0.3949	LR: 0.020000
Training Epoch: 27 [43264/47500]	Loss: 0.3952	LR: 0.020000
Training Epoch: 27 [43520/47500]	Loss: 0.4241	LR: 0.020000
Training Epoch: 27 [43776/47500]	Loss: 0.4484	LR: 0.020000
Training Epoch: 27 [44032/47500]	Loss: 0.3972	LR: 0.020000
Training Epoch: 27 [44288/47500]	Loss: 0.3664	LR: 0.020000
Training Epoch: 27 [44544/47500]	Loss: 0.3198	LR: 0.020000
Training Epoch: 27 [44800/47500]	Loss: 0.5319	LR: 0.020000
Training Epoch: 27 [45056/47500]	Loss: 0.4089	LR: 0.020000
Training Epoch: 27 [45312/47500]	Loss: 0.4084	LR: 0.020000
Training Epoch: 27 [45568/47500]	Loss: 0.4271	LR: 0.020000
Training Epoch: 27 [45824/47500]	Loss: 0.4371	LR: 0.020000
Training Epoch: 27 [46080/47500]	Loss: 0.4518	LR: 0.020000
Training Epoch: 27 [46336/47500]	Loss: 0.3749	LR: 0.020000
Training Epoch: 27 [46592/47500]	Loss: 0.3240	LR: 0.020000
Training Epoch: 27 [46848/47500]	Loss: 0.5039	LR: 0.020000
Training Epoch: 27 [47104/47500]	Loss: 0.3608	LR: 0.020000
Training Epoch: 27 [47360/47500]	Loss: 0.4768	LR: 0.020000
Training Epoch: 27 [47500/47500]	Loss: 0.3092	LR: 0.020000
Epoch 27 - Average Train Loss: 0.3619, Train Accuracy: 0.8791
Epoch 27 training time consumed: 28.28s
Evaluating Network.....
Test set: Epoch: 27, Average loss: 0.0032, Accuracy: 0.7698, Time consumed:0.88s
Training Epoch: 28 [256/47500]	Loss: 0.3663	LR: 0.020000
Training Epoch: 28 [512/47500]	Loss: 0.3344	LR: 0.020000
Training Epoch: 28 [768/47500]	Loss: 0.2370	LR: 0.020000
Training Epoch: 28 [1024/47500]	Loss: 0.3101	LR: 0.020000
Training Epoch: 28 [1280/47500]	Loss: 0.2915	LR: 0.020000
Training Epoch: 28 [1536/47500]	Loss: 0.2531	LR: 0.020000
Training Epoch: 28 [1792/47500]	Loss: 0.3201	LR: 0.020000
Training Epoch: 28 [2048/47500]	Loss: 0.3149	LR: 0.020000
Training Epoch: 28 [2304/47500]	Loss: 0.2730	LR: 0.020000
Training Epoch: 28 [2560/47500]	Loss: 0.3141	LR: 0.020000
Training Epoch: 28 [2816/47500]	Loss: 0.2673	LR: 0.020000
Training Epoch: 28 [3072/47500]	Loss: 0.2996	LR: 0.020000
Training Epoch: 28 [3328/47500]	Loss: 0.3321	LR: 0.020000
Training Epoch: 28 [3584/47500]	Loss: 0.3304	LR: 0.020000
Training Epoch: 28 [3840/47500]	Loss: 0.2994	LR: 0.020000
Training Epoch: 28 [4096/47500]	Loss: 0.4033	LR: 0.020000
Training Epoch: 28 [4352/47500]	Loss: 0.3096	LR: 0.020000
Training Epoch: 28 [4608/47500]	Loss: 0.3089	LR: 0.020000
Training Epoch: 28 [4864/47500]	Loss: 0.2156	LR: 0.020000
Training Epoch: 28 [5120/47500]	Loss: 0.3425	LR: 0.020000
Training Epoch: 28 [5376/47500]	Loss: 0.2888	LR: 0.020000
Training Epoch: 28 [5632/47500]	Loss: 0.2840	LR: 0.020000
Training Epoch: 28 [5888/47500]	Loss: 0.2838	LR: 0.020000
Training Epoch: 28 [6144/47500]	Loss: 0.3607	LR: 0.020000
Training Epoch: 28 [6400/47500]	Loss: 0.2772	LR: 0.020000
Training Epoch: 28 [6656/47500]	Loss: 0.3115	LR: 0.020000
Training Epoch: 28 [6912/47500]	Loss: 0.3277	LR: 0.020000
Training Epoch: 28 [7168/47500]	Loss: 0.4387	LR: 0.020000
Training Epoch: 28 [7424/47500]	Loss: 0.3128	LR: 0.020000
Training Epoch: 28 [7680/47500]	Loss: 0.3235	LR: 0.020000
Training Epoch: 28 [7936/47500]	Loss: 0.3442	LR: 0.020000
Training Epoch: 28 [8192/47500]	Loss: 0.3604	LR: 0.020000
Training Epoch: 28 [8448/47500]	Loss: 0.3120	LR: 0.020000
Training Epoch: 28 [8704/47500]	Loss: 0.3070	LR: 0.020000
Training Epoch: 28 [8960/47500]	Loss: 0.3235	LR: 0.020000
Training Epoch: 28 [9216/47500]	Loss: 0.3128	LR: 0.020000
Training Epoch: 28 [9472/47500]	Loss: 0.3240	LR: 0.020000
Training Epoch: 28 [9728/47500]	Loss: 0.3402	LR: 0.020000
Training Epoch: 28 [9984/47500]	Loss: 0.3092	LR: 0.020000
Training Epoch: 28 [10240/47500]	Loss: 0.3138	LR: 0.020000
Training Epoch: 28 [10496/47500]	Loss: 0.2978	LR: 0.020000
Training Epoch: 28 [10752/47500]	Loss: 0.3941	LR: 0.020000
Training Epoch: 28 [11008/47500]	Loss: 0.2375	LR: 0.020000
Training Epoch: 28 [11264/47500]	Loss: 0.2609	LR: 0.020000
Training Epoch: 28 [11520/47500]	Loss: 0.2865	LR: 0.020000
Training Epoch: 28 [11776/47500]	Loss: 0.3083	LR: 0.020000
Training Epoch: 28 [12032/47500]	Loss: 0.3914	LR: 0.020000
Training Epoch: 28 [12288/47500]	Loss: 0.3187	LR: 0.020000
Training Epoch: 28 [12544/47500]	Loss: 0.4069	LR: 0.020000
Training Epoch: 28 [12800/47500]	Loss: 0.3114	LR: 0.020000
Training Epoch: 28 [13056/47500]	Loss: 0.2627	LR: 0.020000
Training Epoch: 28 [13312/47500]	Loss: 0.3463	LR: 0.020000
Training Epoch: 28 [13568/47500]	Loss: 0.3877	LR: 0.020000
Training Epoch: 28 [13824/47500]	Loss: 0.3247	LR: 0.020000
Training Epoch: 28 [14080/47500]	Loss: 0.3982	LR: 0.020000
Training Epoch: 28 [14336/47500]	Loss: 0.3633	LR: 0.020000
Training Epoch: 28 [14592/47500]	Loss: 0.3070	LR: 0.020000
Training Epoch: 28 [14848/47500]	Loss: 0.2451	LR: 0.020000
Training Epoch: 28 [15104/47500]	Loss: 0.2837	LR: 0.020000
Training Epoch: 28 [15360/47500]	Loss: 0.2910	LR: 0.020000
Training Epoch: 28 [15616/47500]	Loss: 0.3571	LR: 0.020000
Training Epoch: 28 [15872/47500]	Loss: 0.3234	LR: 0.020000
Training Epoch: 28 [16128/47500]	Loss: 0.3407	LR: 0.020000
Training Epoch: 28 [16384/47500]	Loss: 0.4066	LR: 0.020000
Training Epoch: 28 [16640/47500]	Loss: 0.3922	LR: 0.020000
Training Epoch: 28 [16896/47500]	Loss: 0.2830	LR: 0.020000
Training Epoch: 28 [17152/47500]	Loss: 0.2825	LR: 0.020000
Training Epoch: 28 [17408/47500]	Loss: 0.3217	LR: 0.020000
Training Epoch: 28 [17664/47500]	Loss: 0.3015	LR: 0.020000
Training Epoch: 28 [17920/47500]	Loss: 0.3577	LR: 0.020000
Training Epoch: 28 [18176/47500]	Loss: 0.3105	LR: 0.020000
Training Epoch: 28 [18432/47500]	Loss: 0.3026	LR: 0.020000
Training Epoch: 28 [18688/47500]	Loss: 0.3706	LR: 0.020000
Training Epoch: 28 [18944/47500]	Loss: 0.3261	LR: 0.020000
Training Epoch: 28 [19200/47500]	Loss: 0.3912	LR: 0.020000
Training Epoch: 28 [19456/47500]	Loss: 0.3564	LR: 0.020000
Training Epoch: 28 [19712/47500]	Loss: 0.3969	LR: 0.020000
Training Epoch: 28 [19968/47500]	Loss: 0.3237	LR: 0.020000
Training Epoch: 28 [20224/47500]	Loss: 0.3666	LR: 0.020000
Training Epoch: 28 [20480/47500]	Loss: 0.3867	LR: 0.020000
Training Epoch: 28 [20736/47500]	Loss: 0.2999	LR: 0.020000
Training Epoch: 28 [20992/47500]	Loss: 0.3945	LR: 0.020000
Training Epoch: 28 [21248/47500]	Loss: 0.2737	LR: 0.020000
Training Epoch: 28 [21504/47500]	Loss: 0.2763	LR: 0.020000
Training Epoch: 28 [21760/47500]	Loss: 0.3456	LR: 0.020000
Training Epoch: 28 [22016/47500]	Loss: 0.4417	LR: 0.020000
Training Epoch: 28 [22272/47500]	Loss: 0.3675	LR: 0.020000
Training Epoch: 28 [22528/47500]	Loss: 0.2651	LR: 0.020000
Training Epoch: 28 [22784/47500]	Loss: 0.3689	LR: 0.020000
Training Epoch: 28 [23040/47500]	Loss: 0.2691	LR: 0.020000
Training Epoch: 28 [23296/47500]	Loss: 0.2928	LR: 0.020000
Training Epoch: 28 [23552/47500]	Loss: 0.3690	LR: 0.020000
Training Epoch: 28 [23808/47500]	Loss: 0.3750	LR: 0.020000
Training Epoch: 28 [24064/47500]	Loss: 0.3838	LR: 0.020000
Training Epoch: 28 [24320/47500]	Loss: 0.3239	LR: 0.020000
Training Epoch: 28 [24576/47500]	Loss: 0.3504	LR: 0.020000
Training Epoch: 28 [24832/47500]	Loss: 0.3682	LR: 0.020000
Training Epoch: 28 [25088/47500]	Loss: 0.3274	LR: 0.020000
Training Epoch: 28 [25344/47500]	Loss: 0.3562	LR: 0.020000
Training Epoch: 28 [25600/47500]	Loss: 0.3619	LR: 0.020000
Training Epoch: 28 [25856/47500]	Loss: 0.5046	LR: 0.020000
Training Epoch: 28 [26112/47500]	Loss: 0.2937	LR: 0.020000
Training Epoch: 28 [26368/47500]	Loss: 0.3730	LR: 0.020000
Training Epoch: 28 [26624/47500]	Loss: 0.3565	LR: 0.020000
Training Epoch: 28 [26880/47500]	Loss: 0.3020	LR: 0.020000
Training Epoch: 28 [27136/47500]	Loss: 0.3627	LR: 0.020000
Training Epoch: 28 [27392/47500]	Loss: 0.4025	LR: 0.020000
Training Epoch: 28 [27648/47500]	Loss: 0.3617	LR: 0.020000
Training Epoch: 28 [27904/47500]	Loss: 0.2688	LR: 0.020000
Training Epoch: 28 [28160/47500]	Loss: 0.3379	LR: 0.020000
Training Epoch: 28 [28416/47500]	Loss: 0.3751	LR: 0.020000
Training Epoch: 28 [28672/47500]	Loss: 0.2322	LR: 0.020000
Training Epoch: 28 [28928/47500]	Loss: 0.3295	LR: 0.020000
Training Epoch: 28 [29184/47500]	Loss: 0.3448	LR: 0.020000
Training Epoch: 28 [29440/47500]	Loss: 0.3607	LR: 0.020000
Training Epoch: 28 [29696/47500]	Loss: 0.3448	LR: 0.020000
Training Epoch: 28 [29952/47500]	Loss: 0.3043	LR: 0.020000
Training Epoch: 28 [30208/47500]	Loss: 0.3451	LR: 0.020000
Training Epoch: 28 [30464/47500]	Loss: 0.4904	LR: 0.020000
Training Epoch: 28 [30720/47500]	Loss: 0.3797	LR: 0.020000
Training Epoch: 28 [30976/47500]	Loss: 0.3473	LR: 0.020000
Training Epoch: 28 [31232/47500]	Loss: 0.3516	LR: 0.020000
Training Epoch: 28 [31488/47500]	Loss: 0.2836	LR: 0.020000
Training Epoch: 28 [31744/47500]	Loss: 0.3240	LR: 0.020000
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Training Epoch: 28 [32256/47500]	Loss: 0.3129	LR: 0.020000
Training Epoch: 28 [32512/47500]	Loss: 0.4179	LR: 0.020000
Training Epoch: 28 [32768/47500]	Loss: 0.3375	LR: 0.020000
Training Epoch: 28 [33024/47500]	Loss: 0.3850	LR: 0.020000
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Training Epoch: 28 [35584/47500]	Loss: 0.3262	LR: 0.020000
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Training Epoch: 28 [36096/47500]	Loss: 0.3269	LR: 0.020000
Training Epoch: 28 [36352/47500]	Loss: 0.3272	LR: 0.020000
Training Epoch: 28 [36608/47500]	Loss: 0.3703	LR: 0.020000
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Training Epoch: 28 [37120/47500]	Loss: 0.3522	LR: 0.020000
Training Epoch: 28 [37376/47500]	Loss: 0.3974	LR: 0.020000
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Training Epoch: 28 [37888/47500]	Loss: 0.3246	LR: 0.020000
Training Epoch: 28 [38144/47500]	Loss: 0.4493	LR: 0.020000
Training Epoch: 28 [38400/47500]	Loss: 0.2932	LR: 0.020000
Training Epoch: 28 [38656/47500]	Loss: 0.3851	LR: 0.020000
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Training Epoch: 28 [39424/47500]	Loss: 0.2749	LR: 0.020000
Training Epoch: 28 [39680/47500]	Loss: 0.3669	LR: 0.020000
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Training Epoch: 28 [40448/47500]	Loss: 0.3698	LR: 0.020000
Training Epoch: 28 [40704/47500]	Loss: 0.3310	LR: 0.020000
Training Epoch: 28 [40960/47500]	Loss: 0.2990	LR: 0.020000
Training Epoch: 28 [41216/47500]	Loss: 0.3845	LR: 0.020000
Training Epoch: 28 [41472/47500]	Loss: 0.4351	LR: 0.020000
Training Epoch: 28 [41728/47500]	Loss: 0.4582	LR: 0.020000
Training Epoch: 28 [41984/47500]	Loss: 0.3841	LR: 0.020000
Training Epoch: 28 [42240/47500]	Loss: 0.3521	LR: 0.020000
Training Epoch: 28 [42496/47500]	Loss: 0.3788	LR: 0.020000
Training Epoch: 28 [42752/47500]	Loss: 0.3395	LR: 0.020000
Training Epoch: 28 [43008/47500]	Loss: 0.3452	LR: 0.020000
Training Epoch: 28 [43264/47500]	Loss: 0.3202	LR: 0.020000
Training Epoch: 28 [43520/47500]	Loss: 0.3448	LR: 0.020000
Training Epoch: 28 [43776/47500]	Loss: 0.4181	LR: 0.020000
Training Epoch: 28 [44032/47500]	Loss: 0.3290	LR: 0.020000
Training Epoch: 28 [44288/47500]	Loss: 0.4537	LR: 0.020000
Training Epoch: 28 [44544/47500]	Loss: 0.3014	LR: 0.020000
Training Epoch: 28 [44800/47500]	Loss: 0.3478	LR: 0.020000
Training Epoch: 28 [45056/47500]	Loss: 0.3551	LR: 0.020000
Training Epoch: 28 [45312/47500]	Loss: 0.3418	LR: 0.020000
Training Epoch: 28 [45568/47500]	Loss: 0.3365	LR: 0.020000
Training Epoch: 28 [45824/47500]	Loss: 0.3956	LR: 0.020000
Training Epoch: 28 [46080/47500]	Loss: 0.3728	LR: 0.020000
Training Epoch: 28 [46336/47500]	Loss: 0.3912	LR: 0.020000
Training Epoch: 28 [46592/47500]	Loss: 0.4869	LR: 0.020000
Training Epoch: 28 [46848/47500]	Loss: 0.3050	LR: 0.020000
Training Epoch: 28 [47104/47500]	Loss: 0.3557	LR: 0.020000
Training Epoch: 28 [47360/47500]	Loss: 0.3590	LR: 0.020000
Training Epoch: 28 [47500/47500]	Loss: 0.3257	LR: 0.020000
Epoch 28 - Average Train Loss: 0.3430, Train Accuracy: 0.8833
Epoch 28 training time consumed: 28.20s
Evaluating Network.....
Test set: Epoch: 28, Average loss: 0.0032, Accuracy: 0.7697, Time consumed:0.87s
Training Epoch: 29 [256/47500]	Loss: 0.3557	LR: 0.020000
Training Epoch: 29 [512/47500]	Loss: 0.2963	LR: 0.020000
Training Epoch: 29 [768/47500]	Loss: 0.3143	LR: 0.020000
Training Epoch: 29 [1024/47500]	Loss: 0.2839	LR: 0.020000
Training Epoch: 29 [1280/47500]	Loss: 0.3020	LR: 0.020000
Training Epoch: 29 [1536/47500]	Loss: 0.3785	LR: 0.020000
Training Epoch: 29 [1792/47500]	Loss: 0.2326	LR: 0.020000
Training Epoch: 29 [2048/47500]	Loss: 0.3512	LR: 0.020000
Training Epoch: 29 [2304/47500]	Loss: 0.2822	LR: 0.020000
Training Epoch: 29 [2560/47500]	Loss: 0.3226	LR: 0.020000
Training Epoch: 29 [2816/47500]	Loss: 0.3408	LR: 0.020000
Training Epoch: 29 [3072/47500]	Loss: 0.3796	LR: 0.020000
Training Epoch: 29 [3328/47500]	Loss: 0.2714	LR: 0.020000
Training Epoch: 29 [3584/47500]	Loss: 0.2748	LR: 0.020000
Training Epoch: 29 [3840/47500]	Loss: 0.4169	LR: 0.020000
Training Epoch: 29 [4096/47500]	Loss: 0.2342	LR: 0.020000
Training Epoch: 29 [4352/47500]	Loss: 0.2519	LR: 0.020000
Training Epoch: 29 [4608/47500]	Loss: 0.2792	LR: 0.020000
Training Epoch: 29 [4864/47500]	Loss: 0.3006	LR: 0.020000
Training Epoch: 29 [5120/47500]	Loss: 0.2908	LR: 0.020000
Training Epoch: 29 [5376/47500]	Loss: 0.2970	LR: 0.020000
Training Epoch: 29 [5632/47500]	Loss: 0.3361	LR: 0.020000
Training Epoch: 29 [5888/47500]	Loss: 0.2532	LR: 0.020000
Training Epoch: 29 [6144/47500]	Loss: 0.2518	LR: 0.020000
Training Epoch: 29 [6400/47500]	Loss: 0.3201	LR: 0.020000
Training Epoch: 29 [6656/47500]	Loss: 0.4320	LR: 0.020000
Training Epoch: 29 [6912/47500]	Loss: 0.3122	LR: 0.020000
Training Epoch: 29 [7168/47500]	Loss: 0.2593	LR: 0.020000
Training Epoch: 29 [7424/47500]	Loss: 0.3098	LR: 0.020000
Training Epoch: 29 [7680/47500]	Loss: 0.2983	LR: 0.020000
Training Epoch: 29 [7936/47500]	Loss: 0.2696	LR: 0.020000
Training Epoch: 29 [8192/47500]	Loss: 0.3037	LR: 0.020000
Training Epoch: 29 [8448/47500]	Loss: 0.2593	LR: 0.020000
Training Epoch: 29 [8704/47500]	Loss: 0.3270	LR: 0.020000
Training Epoch: 29 [8960/47500]	Loss: 0.3137	LR: 0.020000
Training Epoch: 29 [9216/47500]	Loss: 0.3291	LR: 0.020000
Training Epoch: 29 [9472/47500]	Loss: 0.3280	LR: 0.020000
Training Epoch: 29 [9728/47500]	Loss: 0.2412	LR: 0.020000
Training Epoch: 29 [9984/47500]	Loss: 0.2290	LR: 0.020000
Training Epoch: 29 [10240/47500]	Loss: 0.3750	LR: 0.020000
Training Epoch: 29 [10496/47500]	Loss: 0.3984	LR: 0.020000
Training Epoch: 29 [10752/47500]	Loss: 0.3336	LR: 0.020000
Training Epoch: 29 [11008/47500]	Loss: 0.3200	LR: 0.020000
Training Epoch: 29 [11264/47500]	Loss: 0.3440	LR: 0.020000
Training Epoch: 29 [11520/47500]	Loss: 0.3319	LR: 0.020000
Training Epoch: 29 [11776/47500]	Loss: 0.2269	LR: 0.020000
Training Epoch: 29 [12032/47500]	Loss: 0.2660	LR: 0.020000
Training Epoch: 29 [12288/47500]	Loss: 0.3265	LR: 0.020000
Training Epoch: 29 [12544/47500]	Loss: 0.2764	LR: 0.020000
Training Epoch: 29 [12800/47500]	Loss: 0.2784	LR: 0.020000
Training Epoch: 29 [13056/47500]	Loss: 0.3498	LR: 0.020000
Training Epoch: 29 [13312/47500]	Loss: 0.4087	LR: 0.020000
Training Epoch: 29 [13568/47500]	Loss: 0.4001	LR: 0.020000
Training Epoch: 29 [13824/47500]	Loss: 0.3616	LR: 0.020000
Training Epoch: 29 [14080/47500]	Loss: 0.3770	LR: 0.020000
Training Epoch: 29 [14336/47500]	Loss: 0.3438	LR: 0.020000
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Training Epoch: 29 [14848/47500]	Loss: 0.2341	LR: 0.020000
Training Epoch: 29 [15104/47500]	Loss: 0.3855	LR: 0.020000
Training Epoch: 29 [15360/47500]	Loss: 0.3400	LR: 0.020000
Training Epoch: 29 [15616/47500]	Loss: 0.3217	LR: 0.020000
Training Epoch: 29 [15872/47500]	Loss: 0.2945	LR: 0.020000
Training Epoch: 29 [16128/47500]	Loss: 0.4366	LR: 0.020000
Training Epoch: 29 [16384/47500]	Loss: 0.3021	LR: 0.020000
Training Epoch: 29 [16640/47500]	Loss: 0.3632	LR: 0.020000
Training Epoch: 29 [16896/47500]	Loss: 0.3096	LR: 0.020000
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Training Epoch: 29 [18176/47500]	Loss: 0.2846	LR: 0.020000
Training Epoch: 29 [18432/47500]	Loss: 0.2683	LR: 0.020000
Training Epoch: 29 [18688/47500]	Loss: 0.3489	LR: 0.020000
Training Epoch: 29 [18944/47500]	Loss: 0.2750	LR: 0.020000
Training Epoch: 29 [19200/47500]	Loss: 0.3451	LR: 0.020000
Training Epoch: 29 [19456/47500]	Loss: 0.2247	LR: 0.020000
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Training Epoch: 29 [19968/47500]	Loss: 0.3437	LR: 0.020000
Training Epoch: 29 [20224/47500]	Loss: 0.4718	LR: 0.020000
Training Epoch: 29 [20480/47500]	Loss: 0.3249	LR: 0.020000
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Training Epoch: 29 [21504/47500]	Loss: 0.3696	LR: 0.020000
Training Epoch: 29 [21760/47500]	Loss: 0.3020	LR: 0.020000
Training Epoch: 29 [22016/47500]	Loss: 0.3217	LR: 0.020000
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Training Epoch: 29 [22528/47500]	Loss: 0.3166	LR: 0.020000
Training Epoch: 29 [22784/47500]	Loss: 0.3062	LR: 0.020000
Training Epoch: 29 [23040/47500]	Loss: 0.3432	LR: 0.020000
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Training Epoch: 29 [24832/47500]	Loss: 0.3241	LR: 0.020000
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Training Epoch: 29 [25600/47500]	Loss: 0.3314	LR: 0.020000
Training Epoch: 29 [25856/47500]	Loss: 0.3259	LR: 0.020000
Training Epoch: 29 [26112/47500]	Loss: 0.3613	LR: 0.020000
Training Epoch: 29 [26368/47500]	Loss: 0.3444	LR: 0.020000
Training Epoch: 29 [26624/47500]	Loss: 0.3837	LR: 0.020000
Training Epoch: 29 [26880/47500]	Loss: 0.3132	LR: 0.020000
Training Epoch: 29 [27136/47500]	Loss: 0.3064	LR: 0.020000
Training Epoch: 29 [27392/47500]	Loss: 0.2853	LR: 0.020000
Training Epoch: 29 [27648/47500]	Loss: 0.4251	LR: 0.020000
Training Epoch: 29 [27904/47500]	Loss: 0.4017	LR: 0.020000
Training Epoch: 29 [28160/47500]	Loss: 0.3276	LR: 0.020000
Training Epoch: 29 [28416/47500]	Loss: 0.3602	LR: 0.020000
Training Epoch: 29 [28672/47500]	Loss: 0.3532	LR: 0.020000
Training Epoch: 29 [28928/47500]	Loss: 0.3012	LR: 0.020000
Training Epoch: 29 [29184/47500]	Loss: 0.3910	LR: 0.020000
Training Epoch: 29 [29440/47500]	Loss: 0.2789	LR: 0.020000
Training Epoch: 29 [29696/47500]	Loss: 0.2797	LR: 0.020000
Training Epoch: 29 [29952/47500]	Loss: 0.2643	LR: 0.020000
Training Epoch: 29 [30208/47500]	Loss: 0.2897	LR: 0.020000
Training Epoch: 29 [30464/47500]	Loss: 0.4281	LR: 0.020000
Training Epoch: 29 [30720/47500]	Loss: 0.3374	LR: 0.020000
Training Epoch: 29 [30976/47500]	Loss: 0.3431	LR: 0.020000
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Training Epoch: 29 [31744/47500]	Loss: 0.3127	LR: 0.020000
Training Epoch: 29 [32000/47500]	Loss: 0.3601	LR: 0.020000
Training Epoch: 29 [32256/47500]	Loss: 0.4013	LR: 0.020000
Training Epoch: 29 [32512/47500]	Loss: 0.2856	LR: 0.020000
Training Epoch: 29 [32768/47500]	Loss: 0.2978	LR: 0.020000
Training Epoch: 29 [33024/47500]	Loss: 0.2953	LR: 0.020000
Training Epoch: 29 [33280/47500]	Loss: 0.3863	LR: 0.020000
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Training Epoch: 29 [35072/47500]	Loss: 0.2853	LR: 0.020000
Training Epoch: 29 [35328/47500]	Loss: 0.3653	LR: 0.020000
Training Epoch: 29 [35584/47500]	Loss: 0.3917	LR: 0.020000
Training Epoch: 29 [35840/47500]	Loss: 0.2999	LR: 0.020000
Training Epoch: 29 [36096/47500]	Loss: 0.3510	LR: 0.020000
Training Epoch: 29 [36352/47500]	Loss: 0.3983	LR: 0.020000
Training Epoch: 29 [36608/47500]	Loss: 0.3982	LR: 0.020000
Training Epoch: 29 [36864/47500]	Loss: 0.2911	LR: 0.020000
Training Epoch: 29 [37120/47500]	Loss: 0.3026	LR: 0.020000
Training Epoch: 29 [37376/47500]	Loss: 0.3755	LR: 0.020000
Training Epoch: 29 [37632/47500]	Loss: 0.3598	LR: 0.020000
Training Epoch: 29 [37888/47500]	Loss: 0.3180	LR: 0.020000
Training Epoch: 29 [38144/47500]	Loss: 0.4036	LR: 0.020000
Training Epoch: 29 [38400/47500]	Loss: 0.3352	LR: 0.020000
Training Epoch: 29 [38656/47500]	Loss: 0.3425	LR: 0.020000
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Training Epoch: 29 [39168/47500]	Loss: 0.3563	LR: 0.020000
Training Epoch: 29 [39424/47500]	Loss: 0.4098	LR: 0.020000
Training Epoch: 29 [39680/47500]	Loss: 0.3205	LR: 0.020000
Training Epoch: 29 [39936/47500]	Loss: 0.3177	LR: 0.020000
Training Epoch: 29 [40192/47500]	Loss: 0.2717	LR: 0.020000
Training Epoch: 29 [40448/47500]	Loss: 0.4155	LR: 0.020000
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Training Epoch: 29 [40960/47500]	Loss: 0.3321	LR: 0.020000
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Training Epoch: 29 [41728/47500]	Loss: 0.2817	LR: 0.020000
Training Epoch: 29 [41984/47500]	Loss: 0.2970	LR: 0.020000
Training Epoch: 29 [42240/47500]	Loss: 0.2192	LR: 0.020000
Training Epoch: 29 [42496/47500]	Loss: 0.3906	LR: 0.020000
Training Epoch: 29 [42752/47500]	Loss: 0.3821	LR: 0.020000
Training Epoch: 29 [43008/47500]	Loss: 0.4504	LR: 0.020000
Training Epoch: 29 [43264/47500]	Loss: 0.3726	LR: 0.020000
Training Epoch: 29 [43520/47500]	Loss: 0.3505	LR: 0.020000
Training Epoch: 29 [43776/47500]	Loss: 0.4087	LR: 0.020000
Training Epoch: 29 [44032/47500]	Loss: 0.3248	LR: 0.020000
Training Epoch: 29 [44288/47500]	Loss: 0.2868	LR: 0.020000
Training Epoch: 29 [44544/47500]	Loss: 0.3359	LR: 0.020000
Training Epoch: 29 [44800/47500]	Loss: 0.3439	LR: 0.020000
Training Epoch: 29 [45056/47500]	Loss: 0.3826	LR: 0.020000
Training Epoch: 29 [45312/47500]	Loss: 0.4334	LR: 0.020000
Training Epoch: 29 [45568/47500]	Loss: 0.4038	LR: 0.020000
Training Epoch: 29 [45824/47500]	Loss: 0.3494	LR: 0.020000
Training Epoch: 29 [46080/47500]	Loss: 0.3350	LR: 0.020000
Training Epoch: 29 [46336/47500]	Loss: 0.4300	LR: 0.020000
Training Epoch: 29 [46592/47500]	Loss: 0.3133	LR: 0.020000
Training Epoch: 29 [46848/47500]	Loss: 0.3813	LR: 0.020000
Training Epoch: 29 [47104/47500]	Loss: 0.3635	LR: 0.020000
Training Epoch: 29 [47360/47500]	Loss: 0.3816	LR: 0.020000
Training Epoch: 29 [47500/47500]	Loss: 0.3480	LR: 0.020000
Epoch 29 - Average Train Loss: 0.3322, Train Accuracy: 0.8885
Epoch 29 training time consumed: 28.19s
Evaluating Network.....
Test set: Epoch: 29, Average loss: 0.0034, Accuracy: 0.7643, Time consumed:0.86s
Training Epoch: 30 [256/47500]	Loss: 0.3444	LR: 0.004000
Training Epoch: 30 [512/47500]	Loss: 0.3205	LR: 0.004000
Training Epoch: 30 [768/47500]	Loss: 0.2468	LR: 0.004000
Training Epoch: 30 [1024/47500]	Loss: 0.2599	LR: 0.004000
Training Epoch: 30 [1280/47500]	Loss: 0.2506	LR: 0.004000
Training Epoch: 30 [1536/47500]	Loss: 0.2431	LR: 0.004000
Training Epoch: 30 [1792/47500]	Loss: 0.2689	LR: 0.004000
Training Epoch: 30 [2048/47500]	Loss: 0.3189	LR: 0.004000
Training Epoch: 30 [2304/47500]	Loss: 0.3551	LR: 0.004000
Training Epoch: 30 [2560/47500]	Loss: 0.2401	LR: 0.004000
Training Epoch: 30 [2816/47500]	Loss: 0.2866	LR: 0.004000
Training Epoch: 30 [3072/47500]	Loss: 0.2887	LR: 0.004000
Training Epoch: 30 [3328/47500]	Loss: 0.2419	LR: 0.004000
Training Epoch: 30 [3584/47500]	Loss: 0.2046	LR: 0.004000
Training Epoch: 30 [3840/47500]	Loss: 0.3236	LR: 0.004000
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Training Epoch: 30 [47500/47500]	Loss: 0.2389	LR: 0.004000
Epoch 30 - Average Train Loss: 0.2209, Train Accuracy: 0.9297
Epoch 30 training time consumed: 28.24s
Evaluating Network.....
Test set: Epoch: 30, Average loss: 0.0027, Accuracy: 0.8050, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_21h_10m_36s/ResNet18-Cifar20-seed7-ret50-30-best.pth
Training Epoch: 31 [256/47500]	Loss: 0.1624	LR: 0.004000
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Training Epoch: 31 [29440/47500]	Loss: 0.1828	LR: 0.004000
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Training Epoch: 31 [45056/47500]	Loss: 0.2093	LR: 0.004000
Training Epoch: 31 [45312/47500]	Loss: 0.1734	LR: 0.004000
Training Epoch: 31 [45568/47500]	Loss: 0.1790	LR: 0.004000
Training Epoch: 31 [45824/47500]	Loss: 0.1924	LR: 0.004000
Training Epoch: 31 [46080/47500]	Loss: 0.1695	LR: 0.004000
Training Epoch: 31 [46336/47500]	Loss: 0.2040	LR: 0.004000
Training Epoch: 31 [46592/47500]	Loss: 0.1827	LR: 0.004000
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Training Epoch: 31 [47360/47500]	Loss: 0.1608	LR: 0.004000
Training Epoch: 31 [47500/47500]	Loss: 0.1233	LR: 0.004000
Epoch 31 - Average Train Loss: 0.1760, Train Accuracy: 0.9458
Epoch 31 training time consumed: 28.21s
Evaluating Network.....
Test set: Epoch: 31, Average loss: 0.0028, Accuracy: 0.8058, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_21h_10m_36s/ResNet18-Cifar20-seed7-ret50-31-best.pth
Training Epoch: 32 [256/47500]	Loss: 0.1331	LR: 0.004000
Training Epoch: 32 [512/47500]	Loss: 0.1090	LR: 0.004000
Training Epoch: 32 [768/47500]	Loss: 0.1186	LR: 0.004000
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Training Epoch: 32 [46336/47500]	Loss: 0.1593	LR: 0.004000
Training Epoch: 32 [46592/47500]	Loss: 0.1554	LR: 0.004000
Training Epoch: 32 [46848/47500]	Loss: 0.2339	LR: 0.004000
Training Epoch: 32 [47104/47500]	Loss: 0.1339	LR: 0.004000
Training Epoch: 32 [47360/47500]	Loss: 0.1604	LR: 0.004000
Training Epoch: 32 [47500/47500]	Loss: 0.1480	LR: 0.004000
Epoch 32 - Average Train Loss: 0.1601, Train Accuracy: 0.9500
Epoch 32 training time consumed: 28.24s
Evaluating Network.....
Test set: Epoch: 32, Average loss: 0.0028, Accuracy: 0.8071, Time consumed:0.87s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_21h_10m_36s/ResNet18-Cifar20-seed7-ret50-32-best.pth
Training Epoch: 33 [256/47500]	Loss: 0.1668	LR: 0.004000
Training Epoch: 33 [512/47500]	Loss: 0.1415	LR: 0.004000
Training Epoch: 33 [768/47500]	Loss: 0.1866	LR: 0.004000
Training Epoch: 33 [1024/47500]	Loss: 0.1161	LR: 0.004000
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Training Epoch: 33 [6400/47500]	Loss: 0.1539	LR: 0.004000
Training Epoch: 33 [6656/47500]	Loss: 0.1654	LR: 0.004000
Training Epoch: 33 [6912/47500]	Loss: 0.1096	LR: 0.004000
Training Epoch: 33 [7168/47500]	Loss: 0.1651	LR: 0.004000
Training Epoch: 33 [7424/47500]	Loss: 0.1823	LR: 0.004000
Training Epoch: 33 [7680/47500]	Loss: 0.1770	LR: 0.004000
Training Epoch: 33 [7936/47500]	Loss: 0.1281	LR: 0.004000
Training Epoch: 33 [8192/47500]	Loss: 0.1558	LR: 0.004000
Training Epoch: 33 [8448/47500]	Loss: 0.1144	LR: 0.004000
Training Epoch: 33 [8704/47500]	Loss: 0.1097	LR: 0.004000
Training Epoch: 33 [8960/47500]	Loss: 0.1363	LR: 0.004000
Training Epoch: 33 [9216/47500]	Loss: 0.0869	LR: 0.004000
Training Epoch: 33 [9472/47500]	Loss: 0.1519	LR: 0.004000
Training Epoch: 33 [9728/47500]	Loss: 0.1761	LR: 0.004000
Training Epoch: 33 [9984/47500]	Loss: 0.1445	LR: 0.004000
Training Epoch: 33 [10240/47500]	Loss: 0.1675	LR: 0.004000
Training Epoch: 33 [10496/47500]	Loss: 0.1678	LR: 0.004000
Training Epoch: 33 [10752/47500]	Loss: 0.1560	LR: 0.004000
Training Epoch: 33 [11008/47500]	Loss: 0.1608	LR: 0.004000
Training Epoch: 33 [11264/47500]	Loss: 0.1104	LR: 0.004000
Training Epoch: 33 [11520/47500]	Loss: 0.1377	LR: 0.004000
Training Epoch: 33 [11776/47500]	Loss: 0.1555	LR: 0.004000
Training Epoch: 33 [12032/47500]	Loss: 0.1261	LR: 0.004000
Training Epoch: 33 [12288/47500]	Loss: 0.1370	LR: 0.004000
Training Epoch: 33 [12544/47500]	Loss: 0.1376	LR: 0.004000
Training Epoch: 33 [12800/47500]	Loss: 0.1649	LR: 0.004000
Training Epoch: 33 [13056/47500]	Loss: 0.1271	LR: 0.004000
Training Epoch: 33 [13312/47500]	Loss: 0.1716	LR: 0.004000
Training Epoch: 33 [13568/47500]	Loss: 0.1287	LR: 0.004000
Training Epoch: 33 [13824/47500]	Loss: 0.2278	LR: 0.004000
Training Epoch: 33 [14080/47500]	Loss: 0.1018	LR: 0.004000
Training Epoch: 33 [14336/47500]	Loss: 0.1940	LR: 0.004000
Training Epoch: 33 [14592/47500]	Loss: 0.1353	LR: 0.004000
Training Epoch: 33 [14848/47500]	Loss: 0.1290	LR: 0.004000
Training Epoch: 33 [15104/47500]	Loss: 0.1440	LR: 0.004000
Training Epoch: 33 [15360/47500]	Loss: 0.1667	LR: 0.004000
Training Epoch: 33 [15616/47500]	Loss: 0.1308	LR: 0.004000
Training Epoch: 33 [15872/47500]	Loss: 0.1335	LR: 0.004000
Training Epoch: 33 [16128/47500]	Loss: 0.1018	LR: 0.004000
Training Epoch: 33 [16384/47500]	Loss: 0.1148	LR: 0.004000
Training Epoch: 33 [16640/47500]	Loss: 0.1551	LR: 0.004000
Training Epoch: 33 [16896/47500]	Loss: 0.1376	LR: 0.004000
Training Epoch: 33 [17152/47500]	Loss: 0.1067	LR: 0.004000
Training Epoch: 33 [17408/47500]	Loss: 0.1314	LR: 0.004000
Training Epoch: 33 [17664/47500]	Loss: 0.1441	LR: 0.004000
Training Epoch: 33 [17920/47500]	Loss: 0.1307	LR: 0.004000
Training Epoch: 33 [18176/47500]	Loss: 0.1522	LR: 0.004000
Training Epoch: 33 [18432/47500]	Loss: 0.1560	LR: 0.004000
Training Epoch: 33 [18688/47500]	Loss: 0.1788	LR: 0.004000
Training Epoch: 33 [18944/47500]	Loss: 0.1644	LR: 0.004000
Training Epoch: 33 [19200/47500]	Loss: 0.1031	LR: 0.004000
Training Epoch: 33 [19456/47500]	Loss: 0.1816	LR: 0.004000
Training Epoch: 33 [19712/47500]	Loss: 0.1498	LR: 0.004000
Training Epoch: 33 [19968/47500]	Loss: 0.1526	LR: 0.004000
Training Epoch: 33 [20224/47500]	Loss: 0.1068	LR: 0.004000
Training Epoch: 33 [20480/47500]	Loss: 0.1532	LR: 0.004000
Training Epoch: 33 [20736/47500]	Loss: 0.1823	LR: 0.004000
Training Epoch: 33 [20992/47500]	Loss: 0.1833	LR: 0.004000
Training Epoch: 33 [21248/47500]	Loss: 0.0913	LR: 0.004000
Training Epoch: 33 [21504/47500]	Loss: 0.1641	LR: 0.004000
Training Epoch: 33 [21760/47500]	Loss: 0.1103	LR: 0.004000
Training Epoch: 33 [22016/47500]	Loss: 0.0854	LR: 0.004000
Training Epoch: 33 [22272/47500]	Loss: 0.2025	LR: 0.004000
Training Epoch: 33 [22528/47500]	Loss: 0.1187	LR: 0.004000
Training Epoch: 33 [22784/47500]	Loss: 0.1356	LR: 0.004000
Training Epoch: 33 [23040/47500]	Loss: 0.1632	LR: 0.004000
Training Epoch: 33 [23296/47500]	Loss: 0.0943	LR: 0.004000
Training Epoch: 33 [23552/47500]	Loss: 0.1477	LR: 0.004000
Training Epoch: 33 [23808/47500]	Loss: 0.1147	LR: 0.004000
Training Epoch: 33 [24064/47500]	Loss: 0.1464	LR: 0.004000
Training Epoch: 33 [24320/47500]	Loss: 0.1590	LR: 0.004000
Training Epoch: 33 [24576/47500]	Loss: 0.1326	LR: 0.004000
Training Epoch: 33 [24832/47500]	Loss: 0.1354	LR: 0.004000
Training Epoch: 33 [25088/47500]	Loss: 0.1559	LR: 0.004000
Training Epoch: 33 [25344/47500]	Loss: 0.1746	LR: 0.004000
Training Epoch: 33 [25600/47500]	Loss: 0.1490	LR: 0.004000
Training Epoch: 33 [25856/47500]	Loss: 0.1547	LR: 0.004000
Training Epoch: 33 [26112/47500]	Loss: 0.1528	LR: 0.004000
Training Epoch: 33 [26368/47500]	Loss: 0.1573	LR: 0.004000
Training Epoch: 33 [26624/47500]	Loss: 0.1819	LR: 0.004000
Training Epoch: 33 [26880/47500]	Loss: 0.1491	LR: 0.004000
Training Epoch: 33 [27136/47500]	Loss: 0.1354	LR: 0.004000
Training Epoch: 33 [27392/47500]	Loss: 0.1511	LR: 0.004000
Training Epoch: 33 [27648/47500]	Loss: 0.1541	LR: 0.004000
Training Epoch: 33 [27904/47500]	Loss: 0.1240	LR: 0.004000
Training Epoch: 33 [28160/47500]	Loss: 0.1390	LR: 0.004000
Training Epoch: 33 [28416/47500]	Loss: 0.1369	LR: 0.004000
Training Epoch: 33 [28672/47500]	Loss: 0.2234	LR: 0.004000
Training Epoch: 33 [28928/47500]	Loss: 0.1322	LR: 0.004000
Training Epoch: 33 [29184/47500]	Loss: 0.1430	LR: 0.004000
Training Epoch: 33 [29440/47500]	Loss: 0.1493	LR: 0.004000
Training Epoch: 33 [29696/47500]	Loss: 0.1818	LR: 0.004000
Training Epoch: 33 [29952/47500]	Loss: 0.1340	LR: 0.004000
Training Epoch: 33 [30208/47500]	Loss: 0.1539	LR: 0.004000
Training Epoch: 33 [30464/47500]	Loss: 0.1831	LR: 0.004000
Training Epoch: 33 [30720/47500]	Loss: 0.1809	LR: 0.004000
Training Epoch: 33 [30976/47500]	Loss: 0.1111	LR: 0.004000
Training Epoch: 33 [31232/47500]	Loss: 0.1554	LR: 0.004000
Training Epoch: 33 [31488/47500]	Loss: 0.1448	LR: 0.004000
Training Epoch: 33 [31744/47500]	Loss: 0.1639	LR: 0.004000
Training Epoch: 33 [32000/47500]	Loss: 0.1623	LR: 0.004000
Training Epoch: 33 [32256/47500]	Loss: 0.1484	LR: 0.004000
Training Epoch: 33 [32512/47500]	Loss: 0.1602	LR: 0.004000
Training Epoch: 33 [32768/47500]	Loss: 0.1413	LR: 0.004000
Training Epoch: 33 [33024/47500]	Loss: 0.1386	LR: 0.004000
Training Epoch: 33 [33280/47500]	Loss: 0.1294	LR: 0.004000
Training Epoch: 33 [33536/47500]	Loss: 0.1917	LR: 0.004000
Training Epoch: 33 [33792/47500]	Loss: 0.1713	LR: 0.004000
Training Epoch: 33 [34048/47500]	Loss: 0.1201	LR: 0.004000
Training Epoch: 33 [34304/47500]	Loss: 0.1627	LR: 0.004000
Training Epoch: 33 [34560/47500]	Loss: 0.1695	LR: 0.004000
Training Epoch: 33 [34816/47500]	Loss: 0.1166	LR: 0.004000
Training Epoch: 33 [35072/47500]	Loss: 0.1828	LR: 0.004000
Training Epoch: 33 [35328/47500]	Loss: 0.1820	LR: 0.004000
Training Epoch: 33 [35584/47500]	Loss: 0.1256	LR: 0.004000
Training Epoch: 33 [35840/47500]	Loss: 0.1331	LR: 0.004000
Training Epoch: 33 [36096/47500]	Loss: 0.1941	LR: 0.004000
Training Epoch: 33 [36352/47500]	Loss: 0.1544	LR: 0.004000
Training Epoch: 33 [36608/47500]	Loss: 0.1781	LR: 0.004000
Training Epoch: 33 [36864/47500]	Loss: 0.2162	LR: 0.004000
Training Epoch: 33 [37120/47500]	Loss: 0.1480	LR: 0.004000
Training Epoch: 33 [37376/47500]	Loss: 0.1276	LR: 0.004000
Training Epoch: 33 [37632/47500]	Loss: 0.1379	LR: 0.004000
Training Epoch: 33 [37888/47500]	Loss: 0.1111	LR: 0.004000
Training Epoch: 33 [38144/47500]	Loss: 0.1221	LR: 0.004000
Training Epoch: 33 [38400/47500]	Loss: 0.1950	LR: 0.004000
Training Epoch: 33 [38656/47500]	Loss: 0.1545	LR: 0.004000
Training Epoch: 33 [38912/47500]	Loss: 0.1531	LR: 0.004000
Training Epoch: 33 [39168/47500]	Loss: 0.1579	LR: 0.004000
Training Epoch: 33 [39424/47500]	Loss: 0.1389	LR: 0.004000
Training Epoch: 33 [39680/47500]	Loss: 0.2046	LR: 0.004000
Training Epoch: 33 [39936/47500]	Loss: 0.1423	LR: 0.004000
Training Epoch: 33 [40192/47500]	Loss: 0.1044	LR: 0.004000
Training Epoch: 33 [40448/47500]	Loss: 0.1887	LR: 0.004000
Training Epoch: 33 [40704/47500]	Loss: 0.1237	LR: 0.004000
Training Epoch: 33 [40960/47500]	Loss: 0.1443	LR: 0.004000
Training Epoch: 33 [41216/47500]	Loss: 0.1629	LR: 0.004000
Training Epoch: 33 [41472/47500]	Loss: 0.2072	LR: 0.004000
Training Epoch: 33 [41728/47500]	Loss: 0.1787	LR: 0.004000
Training Epoch: 33 [41984/47500]	Loss: 0.1019	LR: 0.004000
Training Epoch: 33 [42240/47500]	Loss: 0.1391	LR: 0.004000
Training Epoch: 33 [42496/47500]	Loss: 0.1522	LR: 0.004000
Training Epoch: 33 [42752/47500]	Loss: 0.2113	LR: 0.004000
Training Epoch: 33 [43008/47500]	Loss: 0.1040	LR: 0.004000
Training Epoch: 33 [43264/47500]	Loss: 0.1385	LR: 0.004000
Training Epoch: 33 [43520/47500]	Loss: 0.1034	LR: 0.004000
Training Epoch: 33 [43776/47500]	Loss: 0.1412	LR: 0.004000
Training Epoch: 33 [44032/47500]	Loss: 0.1075	LR: 0.004000
Training Epoch: 33 [44288/47500]	Loss: 0.2045	LR: 0.004000
Training Epoch: 33 [44544/47500]	Loss: 0.1634	LR: 0.004000
Training Epoch: 33 [44800/47500]	Loss: 0.1556	LR: 0.004000
Training Epoch: 33 [45056/47500]	Loss: 0.1264	LR: 0.004000
Training Epoch: 33 [45312/47500]	Loss: 0.1112	LR: 0.004000
Training Epoch: 33 [45568/47500]	Loss: 0.1653	LR: 0.004000
Training Epoch: 33 [45824/47500]	Loss: 0.1492	LR: 0.004000
Training Epoch: 33 [46080/47500]	Loss: 0.1786	LR: 0.004000
Training Epoch: 33 [46336/47500]	Loss: 0.1509	LR: 0.004000
Training Epoch: 33 [46592/47500]	Loss: 0.1407	LR: 0.004000
Training Epoch: 33 [46848/47500]	Loss: 0.1458	LR: 0.004000
Training Epoch: 33 [47104/47500]	Loss: 0.1593	LR: 0.004000
Training Epoch: 33 [47360/47500]	Loss: 0.1776	LR: 0.004000
Training Epoch: 33 [47500/47500]	Loss: 0.1692	LR: 0.004000
Epoch 33 - Average Train Loss: 0.1479, Train Accuracy: 0.9551
Epoch 33 training time consumed: 28.20s
Evaluating Network.....
Test set: Epoch: 33, Average loss: 0.0028, Accuracy: 0.8032, Time consumed:0.89s
Training Epoch: 34 [256/47500]	Loss: 0.1471	LR: 0.004000
Training Epoch: 34 [512/47500]	Loss: 0.1130	LR: 0.004000
Training Epoch: 34 [768/47500]	Loss: 0.1576	LR: 0.004000
Training Epoch: 34 [1024/47500]	Loss: 0.1163	LR: 0.004000
Training Epoch: 34 [1280/47500]	Loss: 0.1479	LR: 0.004000
Training Epoch: 34 [1536/47500]	Loss: 0.1132	LR: 0.004000
Training Epoch: 34 [1792/47500]	Loss: 0.1198	LR: 0.004000
Training Epoch: 34 [2048/47500]	Loss: 0.1375	LR: 0.004000
Training Epoch: 34 [2304/47500]	Loss: 0.1318	LR: 0.004000
Training Epoch: 34 [2560/47500]	Loss: 0.1549	LR: 0.004000
Training Epoch: 34 [2816/47500]	Loss: 0.1184	LR: 0.004000
Training Epoch: 34 [3072/47500]	Loss: 0.1106	LR: 0.004000
Training Epoch: 34 [3328/47500]	Loss: 0.1561	LR: 0.004000
Training Epoch: 34 [3584/47500]	Loss: 0.1100	LR: 0.004000
Training Epoch: 34 [3840/47500]	Loss: 0.1629	LR: 0.004000
Training Epoch: 34 [4096/47500]	Loss: 0.1134	LR: 0.004000
Training Epoch: 34 [4352/47500]	Loss: 0.1621	LR: 0.004000
Training Epoch: 34 [4608/47500]	Loss: 0.0922	LR: 0.004000
Training Epoch: 34 [4864/47500]	Loss: 0.0967	LR: 0.004000
Training Epoch: 34 [5120/47500]	Loss: 0.1499	LR: 0.004000
Training Epoch: 34 [5376/47500]	Loss: 0.1219	LR: 0.004000
Training Epoch: 34 [5632/47500]	Loss: 0.1310	LR: 0.004000
Training Epoch: 34 [5888/47500]	Loss: 0.2000	LR: 0.004000
Training Epoch: 34 [6144/47500]	Loss: 0.1251	LR: 0.004000
Training Epoch: 34 [6400/47500]	Loss: 0.1398	LR: 0.004000
Training Epoch: 34 [6656/47500]	Loss: 0.1541	LR: 0.004000
Training Epoch: 34 [6912/47500]	Loss: 0.1161	LR: 0.004000
Training Epoch: 34 [7168/47500]	Loss: 0.1492	LR: 0.004000
Training Epoch: 34 [7424/47500]	Loss: 0.1208	LR: 0.004000
Training Epoch: 34 [7680/47500]	Loss: 0.1501	LR: 0.004000
Training Epoch: 34 [7936/47500]	Loss: 0.1278	LR: 0.004000
Training Epoch: 34 [8192/47500]	Loss: 0.1660	LR: 0.004000
Training Epoch: 34 [8448/47500]	Loss: 0.1690	LR: 0.004000
Training Epoch: 34 [8704/47500]	Loss: 0.0929	LR: 0.004000
Training Epoch: 34 [8960/47500]	Loss: 0.1204	LR: 0.004000
Training Epoch: 34 [9216/47500]	Loss: 0.1308	LR: 0.004000
Training Epoch: 34 [9472/47500]	Loss: 0.1076	LR: 0.004000
Training Epoch: 34 [9728/47500]	Loss: 0.1722	LR: 0.004000
Training Epoch: 34 [9984/47500]	Loss: 0.1204	LR: 0.004000
Training Epoch: 34 [10240/47500]	Loss: 0.1924	LR: 0.004000
Training Epoch: 34 [10496/47500]	Loss: 0.1074	LR: 0.004000
Training Epoch: 34 [10752/47500]	Loss: 0.1680	LR: 0.004000
Training Epoch: 34 [11008/47500]	Loss: 0.1161	LR: 0.004000
Training Epoch: 34 [11264/47500]	Loss: 0.1186	LR: 0.004000
Training Epoch: 34 [11520/47500]	Loss: 0.0654	LR: 0.004000
Training Epoch: 34 [11776/47500]	Loss: 0.1244	LR: 0.004000
Training Epoch: 34 [12032/47500]	Loss: 0.0977	LR: 0.004000
Training Epoch: 34 [12288/47500]	Loss: 0.0990	LR: 0.004000
Training Epoch: 34 [12544/47500]	Loss: 0.2400	LR: 0.004000
Training Epoch: 34 [12800/47500]	Loss: 0.1384	LR: 0.004000
Training Epoch: 34 [13056/47500]	Loss: 0.1116	LR: 0.004000
Training Epoch: 34 [13312/47500]	Loss: 0.1608	LR: 0.004000
Training Epoch: 34 [13568/47500]	Loss: 0.1306	LR: 0.004000
Training Epoch: 34 [13824/47500]	Loss: 0.1419	LR: 0.004000
Training Epoch: 34 [14080/47500]	Loss: 0.1133	LR: 0.004000
Training Epoch: 34 [14336/47500]	Loss: 0.1226	LR: 0.004000
Training Epoch: 34 [14592/47500]	Loss: 0.1228	LR: 0.004000
Training Epoch: 34 [14848/47500]	Loss: 0.1597	LR: 0.004000
Training Epoch: 34 [15104/47500]	Loss: 0.1664	LR: 0.004000
Training Epoch: 34 [15360/47500]	Loss: 0.1204	LR: 0.004000
Training Epoch: 34 [15616/47500]	Loss: 0.1045	LR: 0.004000
Training Epoch: 34 [15872/47500]	Loss: 0.1610	LR: 0.004000
Training Epoch: 34 [16128/47500]	Loss: 0.1524	LR: 0.004000
Training Epoch: 34 [16384/47500]	Loss: 0.1561	LR: 0.004000
Training Epoch: 34 [16640/47500]	Loss: 0.1528	LR: 0.004000
Training Epoch: 34 [16896/47500]	Loss: 0.1426	LR: 0.004000
Training Epoch: 34 [17152/47500]	Loss: 0.1464	LR: 0.004000
Training Epoch: 34 [17408/47500]	Loss: 0.1446	LR: 0.004000
Training Epoch: 34 [17664/47500]	Loss: 0.1342	LR: 0.004000
Training Epoch: 34 [17920/47500]	Loss: 0.1176	LR: 0.004000
Training Epoch: 34 [18176/47500]	Loss: 0.1248	LR: 0.004000
Training Epoch: 34 [18432/47500]	Loss: 0.1485	LR: 0.004000
Training Epoch: 34 [18688/47500]	Loss: 0.1695	LR: 0.004000
Training Epoch: 34 [18944/47500]	Loss: 0.1714	LR: 0.004000
Training Epoch: 34 [19200/47500]	Loss: 0.1519	LR: 0.004000
Training Epoch: 34 [19456/47500]	Loss: 0.1357	LR: 0.004000
Training Epoch: 34 [19712/47500]	Loss: 0.1463	LR: 0.004000
Training Epoch: 34 [19968/47500]	Loss: 0.1072	LR: 0.004000
Training Epoch: 34 [20224/47500]	Loss: 0.1451	LR: 0.004000
Training Epoch: 34 [20480/47500]	Loss: 0.0831	LR: 0.004000
Training Epoch: 34 [20736/47500]	Loss: 0.1744	LR: 0.004000
Training Epoch: 34 [20992/47500]	Loss: 0.1271	LR: 0.004000
Training Epoch: 34 [21248/47500]	Loss: 0.2269	LR: 0.004000
Training Epoch: 34 [21504/47500]	Loss: 0.1291	LR: 0.004000
Training Epoch: 34 [21760/47500]	Loss: 0.0990	LR: 0.004000
Training Epoch: 34 [22016/47500]	Loss: 0.1037	LR: 0.004000
Training Epoch: 34 [22272/47500]	Loss: 0.1154	LR: 0.004000
Training Epoch: 34 [22528/47500]	Loss: 0.1684	LR: 0.004000
Training Epoch: 34 [22784/47500]	Loss: 0.1450	LR: 0.004000
Training Epoch: 34 [23040/47500]	Loss: 0.1920	LR: 0.004000
Training Epoch: 34 [23296/47500]	Loss: 0.1460	LR: 0.004000
Training Epoch: 34 [23552/47500]	Loss: 0.1208	LR: 0.004000
Training Epoch: 34 [23808/47500]	Loss: 0.1439	LR: 0.004000
Training Epoch: 34 [24064/47500]	Loss: 0.1103	LR: 0.004000
Training Epoch: 34 [24320/47500]	Loss: 0.1166	LR: 0.004000
Training Epoch: 34 [24576/47500]	Loss: 0.1405	LR: 0.004000
Training Epoch: 34 [24832/47500]	Loss: 0.1134	LR: 0.004000
Training Epoch: 34 [25088/47500]	Loss: 0.1232	LR: 0.004000
Training Epoch: 34 [25344/47500]	Loss: 0.1504	LR: 0.004000
Training Epoch: 34 [25600/47500]	Loss: 0.1811	LR: 0.004000
Training Epoch: 34 [25856/47500]	Loss: 0.1290	LR: 0.004000
Training Epoch: 34 [26112/47500]	Loss: 0.1696	LR: 0.004000
Training Epoch: 34 [26368/47500]	Loss: 0.1313	LR: 0.004000
Training Epoch: 34 [26624/47500]	Loss: 0.1493	LR: 0.004000
Training Epoch: 34 [26880/47500]	Loss: 0.1176	LR: 0.004000
Training Epoch: 34 [27136/47500]	Loss: 0.1618	LR: 0.004000
Training Epoch: 34 [27392/47500]	Loss: 0.1707	LR: 0.004000
Training Epoch: 34 [27648/47500]	Loss: 0.1396	LR: 0.004000
Training Epoch: 34 [27904/47500]	Loss: 0.0854	LR: 0.004000
Training Epoch: 34 [28160/47500]	Loss: 0.1464	LR: 0.004000
Training Epoch: 34 [28416/47500]	Loss: 0.1342	LR: 0.004000
Training Epoch: 34 [28672/47500]	Loss: 0.1343	LR: 0.004000
Training Epoch: 34 [28928/47500]	Loss: 0.1215	LR: 0.004000
Training Epoch: 34 [29184/47500]	Loss: 0.1358	LR: 0.004000
Training Epoch: 34 [29440/47500]	Loss: 0.1376	LR: 0.004000
Training Epoch: 34 [29696/47500]	Loss: 0.1223	LR: 0.004000
Training Epoch: 34 [29952/47500]	Loss: 0.1415	LR: 0.004000
Training Epoch: 34 [30208/47500]	Loss: 0.1568	LR: 0.004000
Training Epoch: 34 [30464/47500]	Loss: 0.1303	LR: 0.004000
Training Epoch: 34 [30720/47500]	Loss: 0.1254	LR: 0.004000
Training Epoch: 34 [30976/47500]	Loss: 0.1286	LR: 0.004000
Training Epoch: 34 [31232/47500]	Loss: 0.1786	LR: 0.004000
Training Epoch: 34 [31488/47500]	Loss: 0.1208	LR: 0.004000
Training Epoch: 34 [31744/47500]	Loss: 0.1223	LR: 0.004000
Training Epoch: 34 [32000/47500]	Loss: 0.2055	LR: 0.004000
Training Epoch: 34 [32256/47500]	Loss: 0.1202	LR: 0.004000
Training Epoch: 34 [32512/47500]	Loss: 0.1381	LR: 0.004000
Training Epoch: 34 [32768/47500]	Loss: 0.1210	LR: 0.004000
Training Epoch: 34 [33024/47500]	Loss: 0.1487	LR: 0.004000
Training Epoch: 34 [33280/47500]	Loss: 0.1324	LR: 0.004000
Training Epoch: 34 [33536/47500]	Loss: 0.1465	LR: 0.004000
Training Epoch: 34 [33792/47500]	Loss: 0.1117	LR: 0.004000
Training Epoch: 34 [34048/47500]	Loss: 0.1459	LR: 0.004000
Training Epoch: 34 [34304/47500]	Loss: 0.1053	LR: 0.004000
Training Epoch: 34 [34560/47500]	Loss: 0.1263	LR: 0.004000
Training Epoch: 34 [34816/47500]	Loss: 0.1687	LR: 0.004000
Training Epoch: 34 [35072/47500]	Loss: 0.1426	LR: 0.004000
Training Epoch: 34 [35328/47500]	Loss: 0.1203	LR: 0.004000
Training Epoch: 34 [35584/47500]	Loss: 0.1460	LR: 0.004000
Training Epoch: 34 [35840/47500]	Loss: 0.1144	LR: 0.004000
Training Epoch: 34 [36096/47500]	Loss: 0.2048	LR: 0.004000
Training Epoch: 34 [36352/47500]	Loss: 0.1059	LR: 0.004000
Training Epoch: 34 [36608/47500]	Loss: 0.1700	LR: 0.004000
Training Epoch: 34 [36864/47500]	Loss: 0.1328	LR: 0.004000
Training Epoch: 34 [37120/47500]	Loss: 0.1170	LR: 0.004000
Training Epoch: 34 [37376/47500]	Loss: 0.1419	LR: 0.004000
Training Epoch: 34 [37632/47500]	Loss: 0.1040	LR: 0.004000
Training Epoch: 34 [37888/47500]	Loss: 0.1617	LR: 0.004000
Training Epoch: 34 [38144/47500]	Loss: 0.1231	LR: 0.004000
Training Epoch: 34 [38400/47500]	Loss: 0.1745	LR: 0.004000
Training Epoch: 34 [38656/47500]	Loss: 0.1778	LR: 0.004000
Training Epoch: 34 [38912/47500]	Loss: 0.1182	LR: 0.004000
Training Epoch: 34 [39168/47500]	Loss: 0.1452	LR: 0.004000
Training Epoch: 34 [39424/47500]	Loss: 0.0910	LR: 0.004000
Training Epoch: 34 [39680/47500]	Loss: 0.1300	LR: 0.004000
Training Epoch: 34 [39936/47500]	Loss: 0.1121	LR: 0.004000
Training Epoch: 34 [40192/47500]	Loss: 0.1119	LR: 0.004000
Training Epoch: 34 [40448/47500]	Loss: 0.1565	LR: 0.004000
Training Epoch: 34 [40704/47500]	Loss: 0.1095	LR: 0.004000
Training Epoch: 34 [40960/47500]	Loss: 0.1310	LR: 0.004000
Training Epoch: 34 [41216/47500]	Loss: 0.1474	LR: 0.004000
Training Epoch: 34 [41472/47500]	Loss: 0.1254	LR: 0.004000
Training Epoch: 34 [41728/47500]	Loss: 0.1270	LR: 0.004000
Training Epoch: 34 [41984/47500]	Loss: 0.1153	LR: 0.004000
Training Epoch: 34 [42240/47500]	Loss: 0.1029	LR: 0.004000
Training Epoch: 34 [42496/47500]	Loss: 0.1507	LR: 0.004000
Training Epoch: 34 [42752/47500]	Loss: 0.1183	LR: 0.004000
Training Epoch: 34 [43008/47500]	Loss: 0.1405	LR: 0.004000
Training Epoch: 34 [43264/47500]	Loss: 0.1666	LR: 0.004000
Training Epoch: 34 [43520/47500]	Loss: 0.1086	LR: 0.004000
Training Epoch: 34 [43776/47500]	Loss: 0.1433	LR: 0.004000
Training Epoch: 34 [44032/47500]	Loss: 0.1233	LR: 0.004000
Training Epoch: 34 [44288/47500]	Loss: 0.1622	LR: 0.004000
Training Epoch: 34 [44544/47500]	Loss: 0.1209	LR: 0.004000
Training Epoch: 34 [44800/47500]	Loss: 0.1185	LR: 0.004000
Training Epoch: 34 [45056/47500]	Loss: 0.1324	LR: 0.004000
Training Epoch: 34 [45312/47500]	Loss: 0.1895	LR: 0.004000
Training Epoch: 34 [45568/47500]	Loss: 0.1218	LR: 0.004000
Training Epoch: 34 [45824/47500]	Loss: 0.1433	LR: 0.004000
Training Epoch: 34 [46080/47500]	Loss: 0.1160	LR: 0.004000
Training Epoch: 34 [46336/47500]	Loss: 0.1629	LR: 0.004000
Training Epoch: 34 [46592/47500]	Loss: 0.2021	LR: 0.004000
Training Epoch: 34 [46848/47500]	Loss: 0.1684	LR: 0.004000
Training Epoch: 34 [47104/47500]	Loss: 0.1675	LR: 0.004000
Training Epoch: 34 [47360/47500]	Loss: 0.1541	LR: 0.004000
Training Epoch: 34 [47500/47500]	Loss: 0.1246	LR: 0.004000
Epoch 34 - Average Train Loss: 0.1373, Train Accuracy: 0.9584
Epoch 34 training time consumed: 28.26s
Evaluating Network.....
Test set: Epoch: 34, Average loss: 0.0028, Accuracy: 0.8051, Time consumed:0.89s
Training Epoch: 35 [256/47500]	Loss: 0.1143	LR: 0.000800
Training Epoch: 35 [512/47500]	Loss: 0.1262	LR: 0.000800
Training Epoch: 35 [768/47500]	Loss: 0.0961	LR: 0.000800
Training Epoch: 35 [1024/47500]	Loss: 0.1063	LR: 0.000800
Training Epoch: 35 [1280/47500]	Loss: 0.1224	LR: 0.000800
Training Epoch: 35 [1536/47500]	Loss: 0.0972	LR: 0.000800
Training Epoch: 35 [1792/47500]	Loss: 0.1290	LR: 0.000800
Training Epoch: 35 [2048/47500]	Loss: 0.1290	LR: 0.000800
Training Epoch: 35 [2304/47500]	Loss: 0.1067	LR: 0.000800
Training Epoch: 35 [2560/47500]	Loss: 0.1034	LR: 0.000800
Training Epoch: 35 [2816/47500]	Loss: 0.1215	LR: 0.000800
Training Epoch: 35 [3072/47500]	Loss: 0.0675	LR: 0.000800
Training Epoch: 35 [3328/47500]	Loss: 0.1276	LR: 0.000800
Training Epoch: 35 [3584/47500]	Loss: 0.1207	LR: 0.000800
Training Epoch: 35 [3840/47500]	Loss: 0.1037	LR: 0.000800
Training Epoch: 35 [4096/47500]	Loss: 0.1155	LR: 0.000800
Training Epoch: 35 [4352/47500]	Loss: 0.1611	LR: 0.000800
Training Epoch: 35 [4608/47500]	Loss: 0.1321	LR: 0.000800
Training Epoch: 35 [4864/47500]	Loss: 0.1337	LR: 0.000800
Training Epoch: 35 [5120/47500]	Loss: 0.1386	LR: 0.000800
Training Epoch: 35 [5376/47500]	Loss: 0.0997	LR: 0.000800
Training Epoch: 35 [5632/47500]	Loss: 0.1463	LR: 0.000800
Training Epoch: 35 [5888/47500]	Loss: 0.1146	LR: 0.000800
Training Epoch: 35 [6144/47500]	Loss: 0.1020	LR: 0.000800
Training Epoch: 35 [6400/47500]	Loss: 0.1559	LR: 0.000800
Training Epoch: 35 [6656/47500]	Loss: 0.1422	LR: 0.000800
Training Epoch: 35 [6912/47500]	Loss: 0.1552	LR: 0.000800
Training Epoch: 35 [7168/47500]	Loss: 0.0856	LR: 0.000800
Training Epoch: 35 [7424/47500]	Loss: 0.1163	LR: 0.000800
Training Epoch: 35 [7680/47500]	Loss: 0.1034	LR: 0.000800
Training Epoch: 35 [7936/47500]	Loss: 0.1015	LR: 0.000800
Training Epoch: 35 [8192/47500]	Loss: 0.1114	LR: 0.000800
Training Epoch: 35 [8448/47500]	Loss: 0.1518	LR: 0.000800
Training Epoch: 35 [8704/47500]	Loss: 0.1000	LR: 0.000800
Training Epoch: 35 [8960/47500]	Loss: 0.1097	LR: 0.000800
Training Epoch: 35 [9216/47500]	Loss: 0.1098	LR: 0.000800
Training Epoch: 35 [9472/47500]	Loss: 0.1126	LR: 0.000800
Training Epoch: 35 [9728/47500]	Loss: 0.0959	LR: 0.000800
Training Epoch: 35 [9984/47500]	Loss: 0.1150	LR: 0.000800
Training Epoch: 35 [10240/47500]	Loss: 0.1296	LR: 0.000800
Training Epoch: 35 [10496/47500]	Loss: 0.0947	LR: 0.000800
Training Epoch: 35 [10752/47500]	Loss: 0.1065	LR: 0.000800
Training Epoch: 35 [11008/47500]	Loss: 0.1042	LR: 0.000800
Training Epoch: 35 [11264/47500]	Loss: 0.1054	LR: 0.000800
Training Epoch: 35 [11520/47500]	Loss: 0.1024	LR: 0.000800
Training Epoch: 35 [11776/47500]	Loss: 0.1209	LR: 0.000800
Training Epoch: 35 [12032/47500]	Loss: 0.1572	LR: 0.000800
Training Epoch: 35 [12288/47500]	Loss: 0.0990	LR: 0.000800
Training Epoch: 35 [12544/47500]	Loss: 0.1438	LR: 0.000800
Training Epoch: 35 [12800/47500]	Loss: 0.1307	LR: 0.000800
Training Epoch: 35 [13056/47500]	Loss: 0.1435	LR: 0.000800
Training Epoch: 35 [13312/47500]	Loss: 0.1482	LR: 0.000800
Training Epoch: 35 [13568/47500]	Loss: 0.1044	LR: 0.000800
Training Epoch: 35 [13824/47500]	Loss: 0.0904	LR: 0.000800
Training Epoch: 35 [14080/47500]	Loss: 0.1051	LR: 0.000800
Training Epoch: 35 [14336/47500]	Loss: 0.1472	LR: 0.000800
Training Epoch: 35 [14592/47500]	Loss: 0.1341	LR: 0.000800
Training Epoch: 35 [14848/47500]	Loss: 0.1423	LR: 0.000800
Training Epoch: 35 [15104/47500]	Loss: 0.1120	LR: 0.000800
Training Epoch: 35 [15360/47500]	Loss: 0.1128	LR: 0.000800
Training Epoch: 35 [15616/47500]	Loss: 0.0966	LR: 0.000800
Training Epoch: 35 [15872/47500]	Loss: 0.1437	LR: 0.000800
Training Epoch: 35 [16128/47500]	Loss: 0.0961	LR: 0.000800
Training Epoch: 35 [16384/47500]	Loss: 0.1391	LR: 0.000800
Training Epoch: 35 [16640/47500]	Loss: 0.1778	LR: 0.000800
Training Epoch: 35 [16896/47500]	Loss: 0.1042	LR: 0.000800
Training Epoch: 35 [17152/47500]	Loss: 0.0975	LR: 0.000800
Training Epoch: 35 [17408/47500]	Loss: 0.1136	LR: 0.000800
Training Epoch: 35 [17664/47500]	Loss: 0.1218	LR: 0.000800
Training Epoch: 35 [17920/47500]	Loss: 0.1637	LR: 0.000800
Training Epoch: 35 [18176/47500]	Loss: 0.1293	LR: 0.000800
Training Epoch: 35 [18432/47500]	Loss: 0.1458	LR: 0.000800
Training Epoch: 35 [18688/47500]	Loss: 0.0865	LR: 0.000800
Training Epoch: 35 [18944/47500]	Loss: 0.1811	LR: 0.000800
Training Epoch: 35 [19200/47500]	Loss: 0.1115	LR: 0.000800
Training Epoch: 35 [19456/47500]	Loss: 0.1335	LR: 0.000800
Training Epoch: 35 [19712/47500]	Loss: 0.1135	LR: 0.000800
Training Epoch: 35 [19968/47500]	Loss: 0.1381	LR: 0.000800
Training Epoch: 35 [20224/47500]	Loss: 0.1242	LR: 0.000800
Training Epoch: 35 [20480/47500]	Loss: 0.1145	LR: 0.000800
Training Epoch: 35 [20736/47500]	Loss: 0.1132	LR: 0.000800
Training Epoch: 35 [20992/47500]	Loss: 0.1218	LR: 0.000800
Training Epoch: 35 [21248/47500]	Loss: 0.1881	LR: 0.000800
Training Epoch: 35 [21504/47500]	Loss: 0.1235	LR: 0.000800
Training Epoch: 35 [21760/47500]	Loss: 0.0850	LR: 0.000800
Training Epoch: 35 [22016/47500]	Loss: 0.0980	LR: 0.000800
Training Epoch: 35 [22272/47500]	Loss: 0.0941	LR: 0.000800
Training Epoch: 35 [22528/47500]	Loss: 0.1550	LR: 0.000800
Training Epoch: 35 [22784/47500]	Loss: 0.0942	LR: 0.000800
Training Epoch: 35 [23040/47500]	Loss: 0.1119	LR: 0.000800
Training Epoch: 35 [23296/47500]	Loss: 0.1377	LR: 0.000800
Training Epoch: 35 [23552/47500]	Loss: 0.1332	LR: 0.000800
Training Epoch: 35 [23808/47500]	Loss: 0.1238	LR: 0.000800
Training Epoch: 35 [24064/47500]	Loss: 0.1200	LR: 0.000800
Training Epoch: 35 [24320/47500]	Loss: 0.0970	LR: 0.000800
Training Epoch: 35 [24576/47500]	Loss: 0.1527	LR: 0.000800
Training Epoch: 35 [24832/47500]	Loss: 0.1252	LR: 0.000800
Training Epoch: 35 [25088/47500]	Loss: 0.1683	LR: 0.000800
Training Epoch: 35 [25344/47500]	Loss: 0.1246	LR: 0.000800
Training Epoch: 35 [25600/47500]	Loss: 0.1234	LR: 0.000800
Training Epoch: 35 [25856/47500]	Loss: 0.1026	LR: 0.000800
Training Epoch: 35 [26112/47500]	Loss: 0.1490	LR: 0.000800
Training Epoch: 35 [26368/47500]	Loss: 0.1482	LR: 0.000800
Training Epoch: 35 [26624/47500]	Loss: 0.1153	LR: 0.000800
Training Epoch: 35 [26880/47500]	Loss: 0.1303	LR: 0.000800
Training Epoch: 35 [27136/47500]	Loss: 0.0899	LR: 0.000800
Training Epoch: 35 [27392/47500]	Loss: 0.1078	LR: 0.000800
Training Epoch: 35 [27648/47500]	Loss: 0.1483	LR: 0.000800
Training Epoch: 35 [27904/47500]	Loss: 0.1168	LR: 0.000800
Training Epoch: 35 [28160/47500]	Loss: 0.0850	LR: 0.000800
Training Epoch: 35 [28416/47500]	Loss: 0.1109	LR: 0.000800
Training Epoch: 35 [28672/47500]	Loss: 0.1312	LR: 0.000800
Training Epoch: 35 [28928/47500]	Loss: 0.1185	LR: 0.000800
Training Epoch: 35 [29184/47500]	Loss: 0.1125	LR: 0.000800
Training Epoch: 35 [29440/47500]	Loss: 0.1072	LR: 0.000800
Training Epoch: 35 [29696/47500]	Loss: 0.1360	LR: 0.000800
Training Epoch: 35 [29952/47500]	Loss: 0.1090	LR: 0.000800
Training Epoch: 35 [30208/47500]	Loss: 0.1329	LR: 0.000800
Training Epoch: 35 [30464/47500]	Loss: 0.1197	LR: 0.000800
Training Epoch: 35 [30720/47500]	Loss: 0.1361	LR: 0.000800
Training Epoch: 35 [30976/47500]	Loss: 0.1110	LR: 0.000800
Training Epoch: 35 [31232/47500]	Loss: 0.1048	LR: 0.000800
Training Epoch: 35 [31488/47500]	Loss: 0.1352	LR: 0.000800
Training Epoch: 35 [31744/47500]	Loss: 0.0960	LR: 0.000800
Training Epoch: 35 [32000/47500]	Loss: 0.1342	LR: 0.000800
Training Epoch: 35 [32256/47500]	Loss: 0.1266	LR: 0.000800
Training Epoch: 35 [32512/47500]	Loss: 0.1047	LR: 0.000800
Training Epoch: 35 [32768/47500]	Loss: 0.1190	LR: 0.000800
Training Epoch: 35 [33024/47500]	Loss: 0.1189	LR: 0.000800
Training Epoch: 35 [33280/47500]	Loss: 0.1525	LR: 0.000800
Training Epoch: 35 [33536/47500]	Loss: 0.0991	LR: 0.000800
Training Epoch: 35 [33792/47500]	Loss: 0.1543	LR: 0.000800
Training Epoch: 35 [34048/47500]	Loss: 0.1005	LR: 0.000800
Training Epoch: 35 [34304/47500]	Loss: 0.1117	LR: 0.000800
Training Epoch: 35 [34560/47500]	Loss: 0.1304	LR: 0.000800
Training Epoch: 35 [34816/47500]	Loss: 0.1488	LR: 0.000800
Training Epoch: 35 [35072/47500]	Loss: 0.1420	LR: 0.000800
Training Epoch: 35 [35328/47500]	Loss: 0.0842	LR: 0.000800
Training Epoch: 35 [35584/47500]	Loss: 0.1569	LR: 0.000800
Training Epoch: 35 [35840/47500]	Loss: 0.1147	LR: 0.000800
Training Epoch: 35 [36096/47500]	Loss: 0.0800	LR: 0.000800
Training Epoch: 35 [36352/47500]	Loss: 0.0921	LR: 0.000800
Training Epoch: 35 [36608/47500]	Loss: 0.0955	LR: 0.000800
Training Epoch: 35 [36864/47500]	Loss: 0.0890	LR: 0.000800
Training Epoch: 35 [37120/47500]	Loss: 0.1107	LR: 0.000800
Training Epoch: 35 [37376/47500]	Loss: 0.1301	LR: 0.000800
Training Epoch: 35 [37632/47500]	Loss: 0.1171	LR: 0.000800
Training Epoch: 35 [37888/47500]	Loss: 0.1108	LR: 0.000800
Training Epoch: 35 [38144/47500]	Loss: 0.1197	LR: 0.000800
Training Epoch: 35 [38400/47500]	Loss: 0.1097	LR: 0.000800
Training Epoch: 35 [38656/47500]	Loss: 0.1282	LR: 0.000800
Training Epoch: 35 [38912/47500]	Loss: 0.1570	LR: 0.000800
Training Epoch: 35 [39168/47500]	Loss: 0.1252	LR: 0.000800
Training Epoch: 35 [39424/47500]	Loss: 0.1572	LR: 0.000800
Training Epoch: 35 [39680/47500]	Loss: 0.1305	LR: 0.000800
Training Epoch: 35 [39936/47500]	Loss: 0.1154	LR: 0.000800
Training Epoch: 35 [40192/47500]	Loss: 0.1245	LR: 0.000800
Training Epoch: 35 [40448/47500]	Loss: 0.1254	LR: 0.000800
Training Epoch: 35 [40704/47500]	Loss: 0.1640	LR: 0.000800
Training Epoch: 35 [40960/47500]	Loss: 0.1180	LR: 0.000800
Training Epoch: 35 [41216/47500]	Loss: 0.1478	LR: 0.000800
Training Epoch: 35 [41472/47500]	Loss: 0.1347	LR: 0.000800
Training Epoch: 35 [41728/47500]	Loss: 0.1290	LR: 0.000800
Training Epoch: 35 [41984/47500]	Loss: 0.1171	LR: 0.000800
Training Epoch: 35 [42240/47500]	Loss: 0.0962	LR: 0.000800
Training Epoch: 35 [42496/47500]	Loss: 0.1423	LR: 0.000800
Training Epoch: 35 [42752/47500]	Loss: 0.1255	LR: 0.000800
Training Epoch: 35 [43008/47500]	Loss: 0.1009	LR: 0.000800
Training Epoch: 35 [43264/47500]	Loss: 0.1627	LR: 0.000800
Training Epoch: 35 [43520/47500]	Loss: 0.1157	LR: 0.000800
Training Epoch: 35 [43776/47500]	Loss: 0.1335	LR: 0.000800
Training Epoch: 35 [44032/47500]	Loss: 0.0977	LR: 0.000800
Training Epoch: 35 [44288/47500]	Loss: 0.1141	LR: 0.000800
Training Epoch: 35 [44544/47500]	Loss: 0.1300	LR: 0.000800
Training Epoch: 35 [44800/47500]	Loss: 0.0887	LR: 0.000800
Training Epoch: 35 [45056/47500]	Loss: 0.1425	LR: 0.000800
Training Epoch: 35 [45312/47500]	Loss: 0.1014	LR: 0.000800
Training Epoch: 35 [45568/47500]	Loss: 0.1086	LR: 0.000800
Training Epoch: 35 [45824/47500]	Loss: 0.0938	LR: 0.000800
Training Epoch: 35 [46080/47500]	Loss: 0.0892	LR: 0.000800
Training Epoch: 35 [46336/47500]	Loss: 0.1270	LR: 0.000800
Training Epoch: 35 [46592/47500]	Loss: 0.0974	LR: 0.000800
Training Epoch: 35 [46848/47500]	Loss: 0.1349	LR: 0.000800
Training Epoch: 35 [47104/47500]	Loss: 0.1415	LR: 0.000800
Training Epoch: 35 [47360/47500]	Loss: 0.1618	LR: 0.000800
Training Epoch: 35 [47500/47500]	Loss: 0.0942	LR: 0.000800
Epoch 35 - Average Train Loss: 0.1211, Train Accuracy: 0.9638
Epoch 35 training time consumed: 28.38s
Evaluating Network.....
Test set: Epoch: 35, Average loss: 0.0028, Accuracy: 0.8063, Time consumed:0.89s
Training Epoch: 36 [256/47500]	Loss: 0.1094	LR: 0.000800
Training Epoch: 36 [512/47500]	Loss: 0.1630	LR: 0.000800
Training Epoch: 36 [768/47500]	Loss: 0.1018	LR: 0.000800
Training Epoch: 36 [1024/47500]	Loss: 0.1192	LR: 0.000800
Training Epoch: 36 [1280/47500]	Loss: 0.1339	LR: 0.000800
Training Epoch: 36 [1536/47500]	Loss: 0.1084	LR: 0.000800
Training Epoch: 36 [1792/47500]	Loss: 0.1011	LR: 0.000800
Training Epoch: 36 [2048/47500]	Loss: 0.1090	LR: 0.000800
Training Epoch: 36 [2304/47500]	Loss: 0.1315	LR: 0.000800
Training Epoch: 36 [2560/47500]	Loss: 0.1083	LR: 0.000800
Training Epoch: 36 [2816/47500]	Loss: 0.1402	LR: 0.000800
Training Epoch: 36 [3072/47500]	Loss: 0.0818	LR: 0.000800
Training Epoch: 36 [3328/47500]	Loss: 0.1422	LR: 0.000800
Training Epoch: 36 [3584/47500]	Loss: 0.1241	LR: 0.000800
Training Epoch: 36 [3840/47500]	Loss: 0.1420	LR: 0.000800
Training Epoch: 36 [4096/47500]	Loss: 0.1244	LR: 0.000800
Training Epoch: 36 [4352/47500]	Loss: 0.0874	LR: 0.000800
Training Epoch: 36 [4608/47500]	Loss: 0.1028	LR: 0.000800
Training Epoch: 36 [4864/47500]	Loss: 0.0999	LR: 0.000800
Training Epoch: 36 [5120/47500]	Loss: 0.1357	LR: 0.000800
Training Epoch: 36 [5376/47500]	Loss: 0.1260	LR: 0.000800
Training Epoch: 36 [5632/47500]	Loss: 0.1279	LR: 0.000800
Training Epoch: 36 [5888/47500]	Loss: 0.1015	LR: 0.000800
Training Epoch: 36 [6144/47500]	Loss: 0.0791	LR: 0.000800
Training Epoch: 36 [6400/47500]	Loss: 0.1047	LR: 0.000800
Training Epoch: 36 [6656/47500]	Loss: 0.0957	LR: 0.000800
Training Epoch: 36 [6912/47500]	Loss: 0.1156	LR: 0.000800
Training Epoch: 36 [7168/47500]	Loss: 0.1013	LR: 0.000800
Training Epoch: 36 [7424/47500]	Loss: 0.1675	LR: 0.000800
Training Epoch: 36 [7680/47500]	Loss: 0.1203	LR: 0.000800
Training Epoch: 36 [7936/47500]	Loss: 0.1028	LR: 0.000800
Training Epoch: 36 [8192/47500]	Loss: 0.1209	LR: 0.000800
Training Epoch: 36 [8448/47500]	Loss: 0.1052	LR: 0.000800
Training Epoch: 36 [8704/47500]	Loss: 0.0829	LR: 0.000800
Training Epoch: 36 [8960/47500]	Loss: 0.1143	LR: 0.000800
Training Epoch: 36 [9216/47500]	Loss: 0.0947	LR: 0.000800
Training Epoch: 36 [9472/47500]	Loss: 0.0968	LR: 0.000800
Training Epoch: 36 [9728/47500]	Loss: 0.0913	LR: 0.000800
Training Epoch: 36 [9984/47500]	Loss: 0.1506	LR: 0.000800
Training Epoch: 36 [10240/47500]	Loss: 0.1046	LR: 0.000800
Training Epoch: 36 [10496/47500]	Loss: 0.1243	LR: 0.000800
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Training Epoch: 36 [47360/47500]	Loss: 0.0859	LR: 0.000800
Training Epoch: 36 [47500/47500]	Loss: 0.1291	LR: 0.000800
Epoch 36 - Average Train Loss: 0.1142, Train Accuracy: 0.9669
Epoch 36 training time consumed: 28.72s
Evaluating Network.....
Test set: Epoch: 36, Average loss: 0.0028, Accuracy: 0.8081, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_21h_10m_36s/ResNet18-Cifar20-seed7-ret50-36-best.pth
Training Epoch: 37 [256/47500]	Loss: 0.1216	LR: 0.000800
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Training Epoch: 37 [35840/47500]	Loss: 0.1114	LR: 0.000800
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Training Epoch: 37 [43776/47500]	Loss: 0.1221	LR: 0.000800
Training Epoch: 37 [44032/47500]	Loss: 0.1127	LR: 0.000800
Training Epoch: 37 [44288/47500]	Loss: 0.0867	LR: 0.000800
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Training Epoch: 37 [44800/47500]	Loss: 0.0815	LR: 0.000800
Training Epoch: 37 [45056/47500]	Loss: 0.1043	LR: 0.000800
Training Epoch: 37 [45312/47500]	Loss: 0.0837	LR: 0.000800
Training Epoch: 37 [45568/47500]	Loss: 0.1174	LR: 0.000800
Training Epoch: 37 [45824/47500]	Loss: 0.1040	LR: 0.000800
Training Epoch: 37 [46080/47500]	Loss: 0.1047	LR: 0.000800
Training Epoch: 37 [46336/47500]	Loss: 0.0860	LR: 0.000800
Training Epoch: 37 [46592/47500]	Loss: 0.1288	LR: 0.000800
Training Epoch: 37 [46848/47500]	Loss: 0.1175	LR: 0.000800
Training Epoch: 37 [47104/47500]	Loss: 0.1261	LR: 0.000800
Training Epoch: 37 [47360/47500]	Loss: 0.1284	LR: 0.000800
Training Epoch: 37 [47500/47500]	Loss: 0.0938	LR: 0.000800
Epoch 37 - Average Train Loss: 0.1084, Train Accuracy: 0.9693
Epoch 37 training time consumed: 28.25s
Evaluating Network.....
Test set: Epoch: 37, Average loss: 0.0028, Accuracy: 0.8083, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_21h_10m_36s/ResNet18-Cifar20-seed7-ret50-37-best.pth
Training Epoch: 38 [256/47500]	Loss: 0.0875	LR: 0.000800
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Training Epoch: 38 [768/47500]	Loss: 0.1064	LR: 0.000800
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Training Epoch: 38 [43520/47500]	Loss: 0.1292	LR: 0.000800
Training Epoch: 38 [43776/47500]	Loss: 0.0834	LR: 0.000800
Training Epoch: 38 [44032/47500]	Loss: 0.1148	LR: 0.000800
Training Epoch: 38 [44288/47500]	Loss: 0.1266	LR: 0.000800
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Training Epoch: 38 [44800/47500]	Loss: 0.1002	LR: 0.000800
Training Epoch: 38 [45056/47500]	Loss: 0.0984	LR: 0.000800
Training Epoch: 38 [45312/47500]	Loss: 0.1167	LR: 0.000800
Training Epoch: 38 [45568/47500]	Loss: 0.1213	LR: 0.000800
Training Epoch: 38 [45824/47500]	Loss: 0.1453	LR: 0.000800
Training Epoch: 38 [46080/47500]	Loss: 0.1135	LR: 0.000800
Training Epoch: 38 [46336/47500]	Loss: 0.0954	LR: 0.000800
Training Epoch: 38 [46592/47500]	Loss: 0.1630	LR: 0.000800
Training Epoch: 38 [46848/47500]	Loss: 0.1070	LR: 0.000800
Training Epoch: 38 [47104/47500]	Loss: 0.0889	LR: 0.000800
Training Epoch: 38 [47360/47500]	Loss: 0.1269	LR: 0.000800
Training Epoch: 38 [47500/47500]	Loss: 0.1462	LR: 0.000800
Epoch 38 - Average Train Loss: 0.1086, Train Accuracy: 0.9686
Epoch 38 training time consumed: 28.20s
Evaluating Network.....
Test set: Epoch: 38, Average loss: 0.0028, Accuracy: 0.8075, Time consumed:0.97s
Training Epoch: 39 [256/47500]	Loss: 0.0983	LR: 0.000800
Training Epoch: 39 [512/47500]	Loss: 0.1224	LR: 0.000800
Training Epoch: 39 [768/47500]	Loss: 0.0829	LR: 0.000800
Training Epoch: 39 [1024/47500]	Loss: 0.0907	LR: 0.000800
Training Epoch: 39 [1280/47500]	Loss: 0.1159	LR: 0.000800
Training Epoch: 39 [1536/47500]	Loss: 0.1086	LR: 0.000800
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Training Epoch: 39 [2048/47500]	Loss: 0.1431	LR: 0.000800
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Training Epoch: 39 [13056/47500]	Loss: 0.1159	LR: 0.000800
Training Epoch: 39 [13312/47500]	Loss: 0.1293	LR: 0.000800
Training Epoch: 39 [13568/47500]	Loss: 0.0921	LR: 0.000800
Training Epoch: 39 [13824/47500]	Loss: 0.1122	LR: 0.000800
Training Epoch: 39 [14080/47500]	Loss: 0.0958	LR: 0.000800
Training Epoch: 39 [14336/47500]	Loss: 0.1004	LR: 0.000800
Training Epoch: 39 [14592/47500]	Loss: 0.0979	LR: 0.000800
Training Epoch: 39 [14848/47500]	Loss: 0.0951	LR: 0.000800
Training Epoch: 39 [15104/47500]	Loss: 0.1116	LR: 0.000800
Training Epoch: 39 [15360/47500]	Loss: 0.1009	LR: 0.000800
Training Epoch: 39 [15616/47500]	Loss: 0.1382	LR: 0.000800
Training Epoch: 39 [15872/47500]	Loss: 0.1075	LR: 0.000800
Training Epoch: 39 [16128/47500]	Loss: 0.0954	LR: 0.000800
Training Epoch: 39 [16384/47500]	Loss: 0.1241	LR: 0.000800
Training Epoch: 39 [16640/47500]	Loss: 0.1014	LR: 0.000800
Training Epoch: 39 [16896/47500]	Loss: 0.0977	LR: 0.000800
Training Epoch: 39 [17152/47500]	Loss: 0.1124	LR: 0.000800
Training Epoch: 39 [17408/47500]	Loss: 0.1093	LR: 0.000800
Training Epoch: 39 [17664/47500]	Loss: 0.1350	LR: 0.000800
Training Epoch: 39 [17920/47500]	Loss: 0.0893	LR: 0.000800
Training Epoch: 39 [18176/47500]	Loss: 0.0992	LR: 0.000800
Training Epoch: 39 [18432/47500]	Loss: 0.1107	LR: 0.000800
Training Epoch: 39 [18688/47500]	Loss: 0.0994	LR: 0.000800
Training Epoch: 39 [18944/47500]	Loss: 0.1137	LR: 0.000800
Training Epoch: 39 [19200/47500]	Loss: 0.0841	LR: 0.000800
Training Epoch: 39 [19456/47500]	Loss: 0.0995	LR: 0.000800
Training Epoch: 39 [19712/47500]	Loss: 0.0545	LR: 0.000800
Training Epoch: 39 [19968/47500]	Loss: 0.0849	LR: 0.000800
Training Epoch: 39 [20224/47500]	Loss: 0.1067	LR: 0.000800
Training Epoch: 39 [20480/47500]	Loss: 0.1067	LR: 0.000800
Training Epoch: 39 [20736/47500]	Loss: 0.1167	LR: 0.000800
Training Epoch: 39 [20992/47500]	Loss: 0.1540	LR: 0.000800
Training Epoch: 39 [21248/47500]	Loss: 0.0741	LR: 0.000800
Training Epoch: 39 [21504/47500]	Loss: 0.0910	LR: 0.000800
Training Epoch: 39 [21760/47500]	Loss: 0.1078	LR: 0.000800
Training Epoch: 39 [22016/47500]	Loss: 0.1109	LR: 0.000800
Training Epoch: 39 [22272/47500]	Loss: 0.0887	LR: 0.000800
Training Epoch: 39 [22528/47500]	Loss: 0.1160	LR: 0.000800
Training Epoch: 39 [22784/47500]	Loss: 0.0861	LR: 0.000800
Training Epoch: 39 [23040/47500]	Loss: 0.1155	LR: 0.000800
Training Epoch: 39 [23296/47500]	Loss: 0.1070	LR: 0.000800
Training Epoch: 39 [23552/47500]	Loss: 0.1404	LR: 0.000800
Training Epoch: 39 [23808/47500]	Loss: 0.0882	LR: 0.000800
Training Epoch: 39 [24064/47500]	Loss: 0.1154	LR: 0.000800
Training Epoch: 39 [24320/47500]	Loss: 0.0880	LR: 0.000800
Training Epoch: 39 [24576/47500]	Loss: 0.1083	LR: 0.000800
Training Epoch: 39 [24832/47500]	Loss: 0.1312	LR: 0.000800
Training Epoch: 39 [25088/47500]	Loss: 0.0840	LR: 0.000800
Training Epoch: 39 [25344/47500]	Loss: 0.1027	LR: 0.000800
Training Epoch: 39 [25600/47500]	Loss: 0.0963	LR: 0.000800
Training Epoch: 39 [25856/47500]	Loss: 0.1076	LR: 0.000800
Training Epoch: 39 [26112/47500]	Loss: 0.1203	LR: 0.000800
Training Epoch: 39 [26368/47500]	Loss: 0.1380	LR: 0.000800
Training Epoch: 39 [26624/47500]	Loss: 0.1597	LR: 0.000800
Training Epoch: 39 [26880/47500]	Loss: 0.0691	LR: 0.000800
Training Epoch: 39 [27136/47500]	Loss: 0.1044	LR: 0.000800
Training Epoch: 39 [27392/47500]	Loss: 0.1103	LR: 0.000800
Training Epoch: 39 [27648/47500]	Loss: 0.0753	LR: 0.000800
Training Epoch: 39 [27904/47500]	Loss: 0.0915	LR: 0.000800
Training Epoch: 39 [28160/47500]	Loss: 0.1194	LR: 0.000800
Training Epoch: 39 [28416/47500]	Loss: 0.0982	LR: 0.000800
Training Epoch: 39 [28672/47500]	Loss: 0.1101	LR: 0.000800
Training Epoch: 39 [28928/47500]	Loss: 0.1058	LR: 0.000800
Training Epoch: 39 [29184/47500]	Loss: 0.0886	LR: 0.000800
Training Epoch: 39 [29440/47500]	Loss: 0.0981	LR: 0.000800
Training Epoch: 39 [29696/47500]	Loss: 0.0949	LR: 0.000800
Training Epoch: 39 [29952/47500]	Loss: 0.1088	LR: 0.000800
Training Epoch: 39 [30208/47500]	Loss: 0.1112	LR: 0.000800
Training Epoch: 39 [30464/47500]	Loss: 0.1130	LR: 0.000800
Training Epoch: 39 [30720/47500]	Loss: 0.1185	LR: 0.000800
Training Epoch: 39 [30976/47500]	Loss: 0.1178	LR: 0.000800
Training Epoch: 39 [31232/47500]	Loss: 0.0892	LR: 0.000800
Training Epoch: 39 [31488/47500]	Loss: 0.0998	LR: 0.000800
Training Epoch: 39 [31744/47500]	Loss: 0.0911	LR: 0.000800
Training Epoch: 39 [32000/47500]	Loss: 0.0935	LR: 0.000800
Training Epoch: 39 [32256/47500]	Loss: 0.1024	LR: 0.000800
Training Epoch: 39 [32512/47500]	Loss: 0.1183	LR: 0.000800
Training Epoch: 39 [32768/47500]	Loss: 0.0928	LR: 0.000800
Training Epoch: 39 [33024/47500]	Loss: 0.0925	LR: 0.000800
Training Epoch: 39 [33280/47500]	Loss: 0.1020	LR: 0.000800
Training Epoch: 39 [33536/47500]	Loss: 0.0669	LR: 0.000800
Training Epoch: 39 [33792/47500]	Loss: 0.0823	LR: 0.000800
Training Epoch: 39 [34048/47500]	Loss: 0.1236	LR: 0.000800
Training Epoch: 39 [34304/47500]	Loss: 0.1103	LR: 0.000800
Training Epoch: 39 [34560/47500]	Loss: 0.1007	LR: 0.000800
Training Epoch: 39 [34816/47500]	Loss: 0.0917	LR: 0.000800
Training Epoch: 39 [35072/47500]	Loss: 0.0993	LR: 0.000800
Training Epoch: 39 [35328/47500]	Loss: 0.0678	LR: 0.000800
Training Epoch: 39 [35584/47500]	Loss: 0.1533	LR: 0.000800
Training Epoch: 39 [35840/47500]	Loss: 0.0894	LR: 0.000800
Training Epoch: 39 [36096/47500]	Loss: 0.1300	LR: 0.000800
Training Epoch: 39 [36352/47500]	Loss: 0.0900	LR: 0.000800
Training Epoch: 39 [36608/47500]	Loss: 0.1183	LR: 0.000800
Training Epoch: 39 [36864/47500]	Loss: 0.1180	LR: 0.000800
Training Epoch: 39 [37120/47500]	Loss: 0.1446	LR: 0.000800
Training Epoch: 39 [37376/47500]	Loss: 0.1441	LR: 0.000800
Training Epoch: 39 [37632/47500]	Loss: 0.1165	LR: 0.000800
Training Epoch: 39 [37888/47500]	Loss: 0.1327	LR: 0.000800
Training Epoch: 39 [38144/47500]	Loss: 0.0776	LR: 0.000800
Training Epoch: 39 [38400/47500]	Loss: 0.1120	LR: 0.000800
Training Epoch: 39 [38656/47500]	Loss: 0.1496	LR: 0.000800
Training Epoch: 39 [38912/47500]	Loss: 0.0691	LR: 0.000800
Training Epoch: 39 [39168/47500]	Loss: 0.1032	LR: 0.000800
Training Epoch: 39 [39424/47500]	Loss: 0.0857	LR: 0.000800
Training Epoch: 39 [39680/47500]	Loss: 0.1210	LR: 0.000800
Training Epoch: 39 [39936/47500]	Loss: 0.0810	LR: 0.000800
Training Epoch: 39 [40192/47500]	Loss: 0.1413	LR: 0.000800
Training Epoch: 39 [40448/47500]	Loss: 0.0963	LR: 0.000800
Training Epoch: 39 [40704/47500]	Loss: 0.0974	LR: 0.000800
Training Epoch: 39 [40960/47500]	Loss: 0.0858	LR: 0.000800
Training Epoch: 39 [41216/47500]	Loss: 0.0803	LR: 0.000800
Training Epoch: 39 [41472/47500]	Loss: 0.1199	LR: 0.000800
Training Epoch: 39 [41728/47500]	Loss: 0.1302	LR: 0.000800
Training Epoch: 39 [41984/47500]	Loss: 0.1278	LR: 0.000800
Training Epoch: 39 [42240/47500]	Loss: 0.1199	LR: 0.000800
Training Epoch: 39 [42496/47500]	Loss: 0.1157	LR: 0.000800
Training Epoch: 39 [42752/47500]	Loss: 0.1152	LR: 0.000800
Training Epoch: 39 [43008/47500]	Loss: 0.1101	LR: 0.000800
Training Epoch: 39 [43264/47500]	Loss: 0.0762	LR: 0.000800
Training Epoch: 39 [43520/47500]	Loss: 0.1041	LR: 0.000800
Training Epoch: 39 [43776/47500]	Loss: 0.0949	LR: 0.000800
Training Epoch: 39 [44032/47500]	Loss: 0.0828	LR: 0.000800
Training Epoch: 39 [44288/47500]	Loss: 0.0620	LR: 0.000800
Training Epoch: 39 [44544/47500]	Loss: 0.1187	LR: 0.000800
Training Epoch: 39 [44800/47500]	Loss: 0.1197	LR: 0.000800
Training Epoch: 39 [45056/47500]	Loss: 0.1002	LR: 0.000800
Training Epoch: 39 [45312/47500]	Loss: 0.1008	LR: 0.000800
Training Epoch: 39 [45568/47500]	Loss: 0.0786	LR: 0.000800
Training Epoch: 39 [45824/47500]	Loss: 0.0997	LR: 0.000800
Training Epoch: 39 [46080/47500]	Loss: 0.1010	LR: 0.000800
Training Epoch: 39 [46336/47500]	Loss: 0.1056	LR: 0.000800
Training Epoch: 39 [46592/47500]	Loss: 0.1365	LR: 0.000800
Training Epoch: 39 [46848/47500]	Loss: 0.1298	LR: 0.000800
Training Epoch: 39 [47104/47500]	Loss: 0.1475	LR: 0.000800
Training Epoch: 39 [47360/47500]	Loss: 0.0625	LR: 0.000800
Training Epoch: 39 [47500/47500]	Loss: 0.0661	LR: 0.000800
Epoch 39 - Average Train Loss: 0.1044, Train Accuracy: 0.9705
Epoch 39 training time consumed: 28.27s
Evaluating Network.....
Test set: Epoch: 39, Average loss: 0.0028, Accuracy: 0.8083, Time consumed:0.88s
Training Epoch: 40 [256/47500]	Loss: 0.1399	LR: 0.000800
Training Epoch: 40 [512/47500]	Loss: 0.1498	LR: 0.000800
Training Epoch: 40 [768/47500]	Loss: 0.1159	LR: 0.000800
Training Epoch: 40 [1024/47500]	Loss: 0.0950	LR: 0.000800
Training Epoch: 40 [1280/47500]	Loss: 0.1071	LR: 0.000800
Training Epoch: 40 [1536/47500]	Loss: 0.0929	LR: 0.000800
Training Epoch: 40 [1792/47500]	Loss: 0.0867	LR: 0.000800
Training Epoch: 40 [2048/47500]	Loss: 0.0834	LR: 0.000800
Training Epoch: 40 [2304/47500]	Loss: 0.1197	LR: 0.000800
Training Epoch: 40 [2560/47500]	Loss: 0.1171	LR: 0.000800
Training Epoch: 40 [2816/47500]	Loss: 0.0859	LR: 0.000800
Training Epoch: 40 [3072/47500]	Loss: 0.1532	LR: 0.000800
Training Epoch: 40 [3328/47500]	Loss: 0.1408	LR: 0.000800
Training Epoch: 40 [3584/47500]	Loss: 0.0877	LR: 0.000800
Training Epoch: 40 [3840/47500]	Loss: 0.1129	LR: 0.000800
Training Epoch: 40 [4096/47500]	Loss: 0.1156	LR: 0.000800
Training Epoch: 40 [4352/47500]	Loss: 0.0663	LR: 0.000800
Training Epoch: 40 [4608/47500]	Loss: 0.0972	LR: 0.000800
Training Epoch: 40 [4864/47500]	Loss: 0.0990	LR: 0.000800
Training Epoch: 40 [5120/47500]	Loss: 0.0936	LR: 0.000800
Training Epoch: 40 [5376/47500]	Loss: 0.1239	LR: 0.000800
Training Epoch: 40 [5632/47500]	Loss: 0.1461	LR: 0.000800
Training Epoch: 40 [5888/47500]	Loss: 0.0947	LR: 0.000800
Training Epoch: 40 [6144/47500]	Loss: 0.0772	LR: 0.000800
Training Epoch: 40 [6400/47500]	Loss: 0.0846	LR: 0.000800
Training Epoch: 40 [6656/47500]	Loss: 0.1436	LR: 0.000800
Training Epoch: 40 [6912/47500]	Loss: 0.0885	LR: 0.000800
Training Epoch: 40 [7168/47500]	Loss: 0.1031	LR: 0.000800
Training Epoch: 40 [7424/47500]	Loss: 0.1207	LR: 0.000800
Training Epoch: 40 [7680/47500]	Loss: 0.1019	LR: 0.000800
Training Epoch: 40 [7936/47500]	Loss: 0.1401	LR: 0.000800
Training Epoch: 40 [8192/47500]	Loss: 0.1112	LR: 0.000800
Training Epoch: 40 [8448/47500]	Loss: 0.0896	LR: 0.000800
Training Epoch: 40 [8704/47500]	Loss: 0.1029	LR: 0.000800
Training Epoch: 40 [8960/47500]	Loss: 0.1178	LR: 0.000800
Training Epoch: 40 [9216/47500]	Loss: 0.1098	LR: 0.000800
Training Epoch: 40 [9472/47500]	Loss: 0.1249	LR: 0.000800
Training Epoch: 40 [9728/47500]	Loss: 0.0904	LR: 0.000800
Training Epoch: 40 [9984/47500]	Loss: 0.1076	LR: 0.000800
Training Epoch: 40 [10240/47500]	Loss: 0.1274	LR: 0.000800
Training Epoch: 40 [10496/47500]	Loss: 0.0913	LR: 0.000800
Training Epoch: 40 [10752/47500]	Loss: 0.1536	LR: 0.000800
Training Epoch: 40 [11008/47500]	Loss: 0.1125	LR: 0.000800
Training Epoch: 40 [11264/47500]	Loss: 0.0811	LR: 0.000800
Training Epoch: 40 [11520/47500]	Loss: 0.0947	LR: 0.000800
Training Epoch: 40 [11776/47500]	Loss: 0.0920	LR: 0.000800
Training Epoch: 40 [12032/47500]	Loss: 0.1015	LR: 0.000800
Training Epoch: 40 [12288/47500]	Loss: 0.0847	LR: 0.000800
Training Epoch: 40 [12544/47500]	Loss: 0.0987	LR: 0.000800
Training Epoch: 40 [12800/47500]	Loss: 0.0973	LR: 0.000800
Training Epoch: 40 [13056/47500]	Loss: 0.0929	LR: 0.000800
Training Epoch: 40 [13312/47500]	Loss: 0.0873	LR: 0.000800
Training Epoch: 40 [13568/47500]	Loss: 0.1129	LR: 0.000800
Training Epoch: 40 [13824/47500]	Loss: 0.0770	LR: 0.000800
Training Epoch: 40 [14080/47500]	Loss: 0.1014	LR: 0.000800
Training Epoch: 40 [14336/47500]	Loss: 0.0889	LR: 0.000800
Training Epoch: 40 [14592/47500]	Loss: 0.1111	LR: 0.000800
Training Epoch: 40 [14848/47500]	Loss: 0.0957	LR: 0.000800
Training Epoch: 40 [15104/47500]	Loss: 0.0819	LR: 0.000800
Training Epoch: 40 [15360/47500]	Loss: 0.1415	LR: 0.000800
Training Epoch: 40 [15616/47500]	Loss: 0.1079	LR: 0.000800
Training Epoch: 40 [15872/47500]	Loss: 0.0759	LR: 0.000800
Training Epoch: 40 [16128/47500]	Loss: 0.1231	LR: 0.000800
Training Epoch: 40 [16384/47500]	Loss: 0.0804	LR: 0.000800
Training Epoch: 40 [16640/47500]	Loss: 0.1238	LR: 0.000800
Training Epoch: 40 [16896/47500]	Loss: 0.1014	LR: 0.000800
Training Epoch: 40 [17152/47500]	Loss: 0.1146	LR: 0.000800
Training Epoch: 40 [17408/47500]	Loss: 0.1019	LR: 0.000800
Training Epoch: 40 [17664/47500]	Loss: 0.1242	LR: 0.000800
Training Epoch: 40 [17920/47500]	Loss: 0.1502	LR: 0.000800
Training Epoch: 40 [18176/47500]	Loss: 0.0665	LR: 0.000800
Training Epoch: 40 [18432/47500]	Loss: 0.1018	LR: 0.000800
Training Epoch: 40 [18688/47500]	Loss: 0.1121	LR: 0.000800
Training Epoch: 40 [18944/47500]	Loss: 0.1442	LR: 0.000800
Training Epoch: 40 [19200/47500]	Loss: 0.1230	LR: 0.000800
Training Epoch: 40 [19456/47500]	Loss: 0.1060	LR: 0.000800
Training Epoch: 40 [19712/47500]	Loss: 0.1172	LR: 0.000800
Training Epoch: 40 [19968/47500]	Loss: 0.0696	LR: 0.000800
Training Epoch: 40 [20224/47500]	Loss: 0.1268	LR: 0.000800
Training Epoch: 40 [20480/47500]	Loss: 0.1276	LR: 0.000800
Training Epoch: 40 [20736/47500]	Loss: 0.1112	LR: 0.000800
Training Epoch: 40 [20992/47500]	Loss: 0.0888	LR: 0.000800
Training Epoch: 40 [21248/47500]	Loss: 0.0745	LR: 0.000800
Training Epoch: 40 [21504/47500]	Loss: 0.0902	LR: 0.000800
Training Epoch: 40 [21760/47500]	Loss: 0.0888	LR: 0.000800
Training Epoch: 40 [22016/47500]	Loss: 0.1304	LR: 0.000800
Training Epoch: 40 [22272/47500]	Loss: 0.1145	LR: 0.000800
Training Epoch: 40 [22528/47500]	Loss: 0.1100	LR: 0.000800
Training Epoch: 40 [22784/47500]	Loss: 0.1264	LR: 0.000800
Training Epoch: 40 [23040/47500]	Loss: 0.1076	LR: 0.000800
Training Epoch: 40 [23296/47500]	Loss: 0.1058	LR: 0.000800
Training Epoch: 40 [23552/47500]	Loss: 0.0659	LR: 0.000800
Training Epoch: 40 [23808/47500]	Loss: 0.1049	LR: 0.000800
Training Epoch: 40 [24064/47500]	Loss: 0.1222	LR: 0.000800
Training Epoch: 40 [24320/47500]	Loss: 0.0875	LR: 0.000800
Training Epoch: 40 [24576/47500]	Loss: 0.1356	LR: 0.000800
Training Epoch: 40 [24832/47500]	Loss: 0.0917	LR: 0.000800
Training Epoch: 40 [25088/47500]	Loss: 0.0801	LR: 0.000800
Training Epoch: 40 [25344/47500]	Loss: 0.0893	LR: 0.000800
Training Epoch: 40 [25600/47500]	Loss: 0.1030	LR: 0.000800
Training Epoch: 40 [25856/47500]	Loss: 0.0822	LR: 0.000800
Training Epoch: 40 [26112/47500]	Loss: 0.1056	LR: 0.000800
Training Epoch: 40 [26368/47500]	Loss: 0.0794	LR: 0.000800
Training Epoch: 40 [26624/47500]	Loss: 0.1107	LR: 0.000800
Training Epoch: 40 [26880/47500]	Loss: 0.1030	LR: 0.000800
Training Epoch: 40 [27136/47500]	Loss: 0.0953	LR: 0.000800
Training Epoch: 40 [27392/47500]	Loss: 0.0919	LR: 0.000800
Training Epoch: 40 [27648/47500]	Loss: 0.0895	LR: 0.000800
Training Epoch: 40 [27904/47500]	Loss: 0.1049	LR: 0.000800
Training Epoch: 40 [28160/47500]	Loss: 0.0985	LR: 0.000800
Training Epoch: 40 [28416/47500]	Loss: 0.1257	LR: 0.000800
Training Epoch: 40 [28672/47500]	Loss: 0.1139	LR: 0.000800
Training Epoch: 40 [28928/47500]	Loss: 0.0901	LR: 0.000800
Training Epoch: 40 [29184/47500]	Loss: 0.1532	LR: 0.000800
Training Epoch: 40 [29440/47500]	Loss: 0.0809	LR: 0.000800
Training Epoch: 40 [29696/47500]	Loss: 0.1218	LR: 0.000800
Training Epoch: 40 [29952/47500]	Loss: 0.0911	LR: 0.000800
Training Epoch: 40 [30208/47500]	Loss: 0.0773	LR: 0.000800
Training Epoch: 40 [30464/47500]	Loss: 0.1507	LR: 0.000800
Training Epoch: 40 [30720/47500]	Loss: 0.1043	LR: 0.000800
Training Epoch: 40 [30976/47500]	Loss: 0.1572	LR: 0.000800
Training Epoch: 40 [31232/47500]	Loss: 0.0801	LR: 0.000800
Training Epoch: 40 [31488/47500]	Loss: 0.1473	LR: 0.000800
Training Epoch: 40 [31744/47500]	Loss: 0.1069	LR: 0.000800
Training Epoch: 40 [32000/47500]	Loss: 0.0914	LR: 0.000800
Training Epoch: 40 [32256/47500]	Loss: 0.1218	LR: 0.000800
Training Epoch: 40 [32512/47500]	Loss: 0.1021	LR: 0.000800
Training Epoch: 40 [32768/47500]	Loss: 0.1573	LR: 0.000800
Training Epoch: 40 [33024/47500]	Loss: 0.1240	LR: 0.000800
Training Epoch: 40 [33280/47500]	Loss: 0.1011	LR: 0.000800
Training Epoch: 40 [33536/47500]	Loss: 0.1390	LR: 0.000800
Training Epoch: 40 [33792/47500]	Loss: 0.1417	LR: 0.000800
Training Epoch: 40 [34048/47500]	Loss: 0.0714	LR: 0.000800
Training Epoch: 40 [34304/47500]	Loss: 0.0780	LR: 0.000800
Training Epoch: 40 [34560/47500]	Loss: 0.1325	LR: 0.000800
Training Epoch: 40 [34816/47500]	Loss: 0.1064	LR: 0.000800
Training Epoch: 40 [35072/47500]	Loss: 0.1097	LR: 0.000800
Training Epoch: 40 [35328/47500]	Loss: 0.1126	LR: 0.000800
Training Epoch: 40 [35584/47500]	Loss: 0.1477	LR: 0.000800
Training Epoch: 40 [35840/47500]	Loss: 0.1048	LR: 0.000800
Training Epoch: 40 [36096/47500]	Loss: 0.0808	LR: 0.000800
Training Epoch: 40 [36352/47500]	Loss: 0.1211	LR: 0.000800
Training Epoch: 40 [36608/47500]	Loss: 0.1078	LR: 0.000800
Training Epoch: 40 [36864/47500]	Loss: 0.0954	LR: 0.000800
Training Epoch: 40 [37120/47500]	Loss: 0.0913	LR: 0.000800
Training Epoch: 40 [37376/47500]	Loss: 0.1101	LR: 0.000800
Training Epoch: 40 [37632/47500]	Loss: 0.1083	LR: 0.000800
Training Epoch: 40 [37888/47500]	Loss: 0.0935	LR: 0.000800
Training Epoch: 40 [38144/47500]	Loss: 0.1147	LR: 0.000800
Training Epoch: 40 [38400/47500]	Loss: 0.1465	LR: 0.000800
Training Epoch: 40 [38656/47500]	Loss: 0.1124	LR: 0.000800
Training Epoch: 40 [38912/47500]	Loss: 0.1407	LR: 0.000800
Training Epoch: 40 [39168/47500]	Loss: 0.1268	LR: 0.000800
Training Epoch: 40 [39424/47500]	Loss: 0.0686	LR: 0.000800
Training Epoch: 40 [39680/47500]	Loss: 0.0712	LR: 0.000800
Training Epoch: 40 [39936/47500]	Loss: 0.0917	LR: 0.000800
Training Epoch: 40 [40192/47500]	Loss: 0.1102	LR: 0.000800
Training Epoch: 40 [40448/47500]	Loss: 0.1007	LR: 0.000800
Training Epoch: 40 [40704/47500]	Loss: 0.0984	LR: 0.000800
Training Epoch: 40 [40960/47500]	Loss: 0.1266	LR: 0.000800
Training Epoch: 40 [41216/47500]	Loss: 0.0980	LR: 0.000800
Training Epoch: 40 [41472/47500]	Loss: 0.1092	LR: 0.000800
Training Epoch: 40 [41728/47500]	Loss: 0.1008	LR: 0.000800
Training Epoch: 40 [41984/47500]	Loss: 0.1578	LR: 0.000800
Training Epoch: 40 [42240/47500]	Loss: 0.1016	LR: 0.000800
Training Epoch: 40 [42496/47500]	Loss: 0.0941	LR: 0.000800
Training Epoch: 40 [42752/47500]	Loss: 0.1016	LR: 0.000800
Training Epoch: 40 [43008/47500]	Loss: 0.0965	LR: 0.000800
Training Epoch: 40 [43264/47500]	Loss: 0.1073	LR: 0.000800
Training Epoch: 40 [43520/47500]	Loss: 0.1348	LR: 0.000800
Training Epoch: 40 [43776/47500]	Loss: 0.1166	LR: 0.000800
Training Epoch: 40 [44032/47500]	Loss: 0.0863	LR: 0.000800
Training Epoch: 40 [44288/47500]	Loss: 0.0940	LR: 0.000800
Training Epoch: 40 [44544/47500]	Loss: 0.0693	LR: 0.000800
Training Epoch: 40 [44800/47500]	Loss: 0.1413	LR: 0.000800
Training Epoch: 40 [45056/47500]	Loss: 0.1025	LR: 0.000800
Training Epoch: 40 [45312/47500]	Loss: 0.1325	LR: 0.000800
Training Epoch: 40 [45568/47500]	Loss: 0.0938	LR: 0.000800
Training Epoch: 40 [45824/47500]	Loss: 0.0801	LR: 0.000800
Training Epoch: 40 [46080/47500]	Loss: 0.0908	LR: 0.000800
Training Epoch: 40 [46336/47500]	Loss: 0.0777	LR: 0.000800
Training Epoch: 40 [46592/47500]	Loss: 0.1194	LR: 0.000800
Training Epoch: 40 [46848/47500]	Loss: 0.0947	LR: 0.000800
Training Epoch: 40 [47104/47500]	Loss: 0.1283	LR: 0.000800
Training Epoch: 40 [47360/47500]	Loss: 0.1073	LR: 0.000800
Training Epoch: 40 [47500/47500]	Loss: 0.0747	LR: 0.000800
Epoch 40 - Average Train Loss: 0.1066, Train Accuracy: 0.9700
Epoch 40 training time consumed: 28.22s
Evaluating Network.....
Test set: Epoch: 40, Average loss: 0.0028, Accuracy: 0.8075, Time consumed:0.89s
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  47500
Forget Train Dl:  2500
Retain Valid Dl:  47500
Forget Valid Dl:  2500
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 2500 samples
Set1 Distribution: 2500 samples
Set2 Distribution: 2500 samples
Set1 Distribution: 2500 samples
Set2 Distribution: 2500 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 80.908203125
Retain Accuracy: 97.48931884765625
Zero-Retain Forget (ZRF): 0.9011272192001343
Membership Inference Attack (MIA): 0.6012
Forget vs Retain Membership Inference Attack (MIA): 0.557
Forget vs Test Membership Inference Attack (MIA): 0.53
Test vs Retain Membership Inference Attack (MIA): 0.56525
Train vs Test Membership Inference Attack (MIA): 0.609
Forget Set Accuracy (Df): 80.02311706542969
Method Execution Time: 2122.15 seconds
