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

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

📊 Updated class distribution:
Retain set:
  Class 0: 475
  Class 1: 475
  Class 2: 475
  Class 3: 475
  Class 4: 475
  Class 5: 475
  Class 6: 475
  Class 7: 475
  Class 8: 475
  Class 9: 475
  Class 10: 475
  Class 11: 475
  Class 12: 475
  Class 13: 475
  Class 14: 475
  Class 15: 475
  Class 16: 475
  Class 17: 475
  Class 18: 475
  Class 19: 475
  Class 20: 475
  Class 21: 475
  Class 22: 475
  Class 23: 475
  Class 24: 475
  Class 25: 475
  Class 26: 475
  Class 27: 475
  Class 28: 475
  Class 29: 475
  Class 30: 475
  Class 31: 475
  Class 32: 475
  Class 33: 475
  Class 34: 475
  Class 35: 475
  Class 36: 475
  Class 37: 475
  Class 38: 475
  Class 39: 475
  Class 40: 475
  Class 41: 475
  Class 42: 475
  Class 43: 475
  Class 44: 475
  Class 45: 475
  Class 46: 475
  Class 47: 475
  Class 48: 475
  Class 49: 475
  Class 50: 475
  Class 51: 475
  Class 52: 475
  Class 53: 475
  Class 54: 475
  Class 55: 475
  Class 56: 475
  Class 57: 475
  Class 58: 475
  Class 59: 475
  Class 60: 475
  Class 61: 475
  Class 62: 475
  Class 63: 475
  Class 64: 475
  Class 65: 475
  Class 66: 475
  Class 67: 475
  Class 68: 475
  Class 69: 475
  Class 70: 475
  Class 71: 475
  Class 72: 475
  Class 73: 475
  Class 74: 475
  Class 75: 475
  Class 76: 475
  Class 77: 475
  Class 78: 475
  Class 79: 475
  Class 80: 475
  Class 81: 475
  Class 82: 475
  Class 83: 475
  Class 84: 475
  Class 85: 475
  Class 86: 475
  Class 87: 475
  Class 88: 475
  Class 89: 475
  Class 90: 475
  Class 91: 475
  Class 92: 475
  Class 93: 475
  Class 94: 475
  Class 95: 475
  Class 96: 475
  Class 97: 475
  Class 98: 475
  Class 99: 475
Forget set:
  Class 0: 25
  Class 1: 25
  Class 2: 25
  Class 3: 25
  Class 4: 25
  Class 5: 25
  Class 6: 25
  Class 7: 25
  Class 8: 25
  Class 9: 25
  Class 10: 25
  Class 11: 25
  Class 12: 25
  Class 13: 25
  Class 14: 25
  Class 15: 25
  Class 16: 25
  Class 17: 25
  Class 18: 25
  Class 19: 25
  Class 20: 25
  Class 21: 25
  Class 22: 25
  Class 23: 25
  Class 24: 25
  Class 25: 25
  Class 26: 25
  Class 27: 25
  Class 28: 25
  Class 29: 25
  Class 30: 25
  Class 31: 25
  Class 32: 25
  Class 33: 25
  Class 34: 25
  Class 35: 25
  Class 36: 25
  Class 37: 25
  Class 38: 25
  Class 39: 25
  Class 40: 25
  Class 41: 25
  Class 42: 25
  Class 43: 25
  Class 44: 25
  Class 45: 25
  Class 46: 25
  Class 47: 25
  Class 48: 25
  Class 49: 25
  Class 50: 25
  Class 51: 25
  Class 52: 25
  Class 53: 25
  Class 54: 25
  Class 55: 25
  Class 56: 25
  Class 57: 25
  Class 58: 25
  Class 59: 25
  Class 60: 25
  Class 61: 25
  Class 62: 25
  Class 63: 25
  Class 64: 25
  Class 65: 25
  Class 66: 25
  Class 67: 25
  Class 68: 25
  Class 69: 25
  Class 70: 25
  Class 71: 25
  Class 72: 25
  Class 73: 25
  Class 74: 25
  Class 75: 25
  Class 76: 25
  Class 77: 25
  Class 78: 25
  Class 79: 25
  Class 80: 25
  Class 81: 25
  Class 82: 25
  Class 83: 25
  Class 84: 25
  Class 85: 25
  Class 86: 25
  Class 87: 25
  Class 88: 25
  Class 89: 25
  Class 90: 25
  Class 91: 25
  Class 92: 25
  Class 93: 25
  Class 94: 25
  Class 95: 25
  Class 96: 25
  Class 97: 25
  Class 98: 25
  Class 99: 25
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/47500]	Loss: 3.2164	LR: 0.000000
Training Epoch: 1 [512/47500]	Loss: 3.2021	LR: 0.000538
Training Epoch: 1 [768/47500]	Loss: 3.1418	LR: 0.001075
Training Epoch: 1 [1024/47500]	Loss: 3.1864	LR: 0.001613
Training Epoch: 1 [1280/47500]	Loss: 3.1620	LR: 0.002151
Training Epoch: 1 [1536/47500]	Loss: 3.0484	LR: 0.002688
Training Epoch: 1 [1792/47500]	Loss: 3.0087	LR: 0.003226
Training Epoch: 1 [2048/47500]	Loss: 3.0039	LR: 0.003763
Training Epoch: 1 [2304/47500]	Loss: 2.9248	LR: 0.004301
Training Epoch: 1 [2560/47500]	Loss: 2.9532	LR: 0.004839
Training Epoch: 1 [2816/47500]	Loss: 2.9863	LR: 0.005376
Training Epoch: 1 [3072/47500]	Loss: 2.9381	LR: 0.005914
Training Epoch: 1 [3328/47500]	Loss: 2.9812	LR: 0.006452
Training Epoch: 1 [3584/47500]	Loss: 2.9307	LR: 0.006989
Training Epoch: 1 [3840/47500]	Loss: 2.8797	LR: 0.007527
Training Epoch: 1 [4096/47500]	Loss: 2.6843	LR: 0.008065
Training Epoch: 1 [4352/47500]	Loss: 2.8226	LR: 0.008602
Training Epoch: 1 [4608/47500]	Loss: 2.7169	LR: 0.009140
Training Epoch: 1 [4864/47500]	Loss: 2.7751	LR: 0.009677
Training Epoch: 1 [5120/47500]	Loss: 2.7752	LR: 0.010215
Training Epoch: 1 [5376/47500]	Loss: 2.7173	LR: 0.010753
Training Epoch: 1 [5632/47500]	Loss: 2.6795	LR: 0.011290
Training Epoch: 1 [5888/47500]	Loss: 2.7576	LR: 0.011828
Training Epoch: 1 [6144/47500]	Loss: 2.7045	LR: 0.012366
Training Epoch: 1 [6400/47500]	Loss: 2.7071	LR: 0.012903
Training Epoch: 1 [6656/47500]	Loss: 2.6670	LR: 0.013441
Training Epoch: 1 [6912/47500]	Loss: 2.6582	LR: 0.013978
Training Epoch: 1 [7168/47500]	Loss: 2.7391	LR: 0.014516
Training Epoch: 1 [7424/47500]	Loss: 2.6963	LR: 0.015054
Training Epoch: 1 [7680/47500]	Loss: 2.5360	LR: 0.015591
Training Epoch: 1 [7936/47500]	Loss: 2.7116	LR: 0.016129
Training Epoch: 1 [8192/47500]	Loss: 2.6362	LR: 0.016667
Training Epoch: 1 [8448/47500]	Loss: 2.6490	LR: 0.017204
Training Epoch: 1 [8704/47500]	Loss: 2.6568	LR: 0.017742
Training Epoch: 1 [8960/47500]	Loss: 2.6802	LR: 0.018280
Training Epoch: 1 [9216/47500]	Loss: 2.6817	LR: 0.018817
Training Epoch: 1 [9472/47500]	Loss: 2.4904	LR: 0.019355
Training Epoch: 1 [9728/47500]	Loss: 2.6271	LR: 0.019892
Training Epoch: 1 [9984/47500]	Loss: 2.5233	LR: 0.020430
Training Epoch: 1 [10240/47500]	Loss: 2.6326	LR: 0.020968
Training Epoch: 1 [10496/47500]	Loss: 2.6316	LR: 0.021505
Training Epoch: 1 [10752/47500]	Loss: 2.5629	LR: 0.022043
Training Epoch: 1 [11008/47500]	Loss: 2.6321	LR: 0.022581
Training Epoch: 1 [11264/47500]	Loss: 2.5367	LR: 0.023118
Training Epoch: 1 [11520/47500]	Loss: 2.6890	LR: 0.023656
Training Epoch: 1 [11776/47500]	Loss: 2.6039	LR: 0.024194
Training Epoch: 1 [12032/47500]	Loss: 2.6397	LR: 0.024731
Training Epoch: 1 [12288/47500]	Loss: 2.7392	LR: 0.025269
Training Epoch: 1 [12544/47500]	Loss: 2.6657	LR: 0.025806
Training Epoch: 1 [12800/47500]	Loss: 2.6613	LR: 0.026344
Training Epoch: 1 [13056/47500]	Loss: 2.5939	LR: 0.026882
Training Epoch: 1 [13312/47500]	Loss: 2.6167	LR: 0.027419
Training Epoch: 1 [13568/47500]	Loss: 2.6263	LR: 0.027957
Training Epoch: 1 [13824/47500]	Loss: 2.6523	LR: 0.028495
Training Epoch: 1 [14080/47500]	Loss: 2.5796	LR: 0.029032
Training Epoch: 1 [14336/47500]	Loss: 2.6184	LR: 0.029570
Training Epoch: 1 [14592/47500]	Loss: 2.5729	LR: 0.030108
Training Epoch: 1 [14848/47500]	Loss: 2.5885	LR: 0.030645
Training Epoch: 1 [15104/47500]	Loss: 2.6568	LR: 0.031183
Training Epoch: 1 [15360/47500]	Loss: 2.5673	LR: 0.031720
Training Epoch: 1 [15616/47500]	Loss: 2.5202	LR: 0.032258
Training Epoch: 1 [15872/47500]	Loss: 2.4050	LR: 0.032796
Training Epoch: 1 [16128/47500]	Loss: 2.4975	LR: 0.033333
Training Epoch: 1 [16384/47500]	Loss: 2.6574	LR: 0.033871
Training Epoch: 1 [16640/47500]	Loss: 2.4272	LR: 0.034409
Training Epoch: 1 [16896/47500]	Loss: 2.6200	LR: 0.034946
Training Epoch: 1 [17152/47500]	Loss: 2.4975	LR: 0.035484
Training Epoch: 1 [17408/47500]	Loss: 2.5479	LR: 0.036022
Training Epoch: 1 [17664/47500]	Loss: 2.5585	LR: 0.036559
Training Epoch: 1 [17920/47500]	Loss: 2.5590	LR: 0.037097
Training Epoch: 1 [18176/47500]	Loss: 2.5021	LR: 0.037634
Training Epoch: 1 [18432/47500]	Loss: 2.5274	LR: 0.038172
Training Epoch: 1 [18688/47500]	Loss: 2.5007	LR: 0.038710
Training Epoch: 1 [18944/47500]	Loss: 2.5305	LR: 0.039247
Training Epoch: 1 [19200/47500]	Loss: 2.5402	LR: 0.039785
Training Epoch: 1 [19456/47500]	Loss: 2.5725	LR: 0.040323
Training Epoch: 1 [19712/47500]	Loss: 2.5484	LR: 0.040860
Training Epoch: 1 [19968/47500]	Loss: 2.5839	LR: 0.041398
Training Epoch: 1 [20224/47500]	Loss: 2.4620	LR: 0.041935
Training Epoch: 1 [20480/47500]	Loss: 2.4848	LR: 0.042473
Training Epoch: 1 [20736/47500]	Loss: 2.5345	LR: 0.043011
Training Epoch: 1 [20992/47500]	Loss: 2.5961	LR: 0.043548
Training Epoch: 1 [21248/47500]	Loss: 2.4938	LR: 0.044086
Training Epoch: 1 [21504/47500]	Loss: 2.5306	LR: 0.044624
Training Epoch: 1 [21760/47500]	Loss: 2.5302	LR: 0.045161
Training Epoch: 1 [22016/47500]	Loss: 2.4850	LR: 0.045699
Training Epoch: 1 [22272/47500]	Loss: 2.4922	LR: 0.046237
Training Epoch: 1 [22528/47500]	Loss: 2.5021	LR: 0.046774
Training Epoch: 1 [22784/47500]	Loss: 2.5026	LR: 0.047312
Training Epoch: 1 [23040/47500]	Loss: 2.4523	LR: 0.047849
Training Epoch: 1 [23296/47500]	Loss: 2.4862	LR: 0.048387
Training Epoch: 1 [23552/47500]	Loss: 2.5504	LR: 0.048925
Training Epoch: 1 [23808/47500]	Loss: 2.5265	LR: 0.049462
Training Epoch: 1 [24064/47500]	Loss: 2.4762	LR: 0.050000
Training Epoch: 1 [24320/47500]	Loss: 2.5191	LR: 0.050538
Training Epoch: 1 [24576/47500]	Loss: 2.5678	LR: 0.051075
Training Epoch: 1 [24832/47500]	Loss: 2.5820	LR: 0.051613
Training Epoch: 1 [25088/47500]	Loss: 2.5297	LR: 0.052151
Training Epoch: 1 [25344/47500]	Loss: 2.4765	LR: 0.052688
Training Epoch: 1 [25600/47500]	Loss: 2.4437	LR: 0.053226
Training Epoch: 1 [25856/47500]	Loss: 2.4777	LR: 0.053763
Training Epoch: 1 [26112/47500]	Loss: 2.4540	LR: 0.054301
Training Epoch: 1 [26368/47500]	Loss: 2.4828	LR: 0.054839
Training Epoch: 1 [26624/47500]	Loss: 2.5565	LR: 0.055376
Training Epoch: 1 [26880/47500]	Loss: 2.3421	LR: 0.055914
Training Epoch: 1 [27136/47500]	Loss: 2.3470	LR: 0.056452
Training Epoch: 1 [27392/47500]	Loss: 2.3842	LR: 0.056989
Training Epoch: 1 [27648/47500]	Loss: 2.5158	LR: 0.057527
Training Epoch: 1 [27904/47500]	Loss: 2.5332	LR: 0.058065
Training Epoch: 1 [28160/47500]	Loss: 2.4016	LR: 0.058602
Training Epoch: 1 [28416/47500]	Loss: 2.4789	LR: 0.059140
Training Epoch: 1 [28672/47500]	Loss: 2.4315	LR: 0.059677
Training Epoch: 1 [28928/47500]	Loss: 2.4372	LR: 0.060215
Training Epoch: 1 [29184/47500]	Loss: 2.5389	LR: 0.060753
Training Epoch: 1 [29440/47500]	Loss: 2.5753	LR: 0.061290
Training Epoch: 1 [29696/47500]	Loss: 2.3917	LR: 0.061828
Training Epoch: 1 [29952/47500]	Loss: 2.3482	LR: 0.062366
Training Epoch: 1 [30208/47500]	Loss: 2.4779	LR: 0.062903
Training Epoch: 1 [30464/47500]	Loss: 2.4454	LR: 0.063441
Training Epoch: 1 [30720/47500]	Loss: 2.3645	LR: 0.063978
Training Epoch: 1 [30976/47500]	Loss: 2.3831	LR: 0.064516
Training Epoch: 1 [31232/47500]	Loss: 2.5244	LR: 0.065054
Training Epoch: 1 [31488/47500]	Loss: 2.3711	LR: 0.065591
Training Epoch: 1 [31744/47500]	Loss: 2.3728	LR: 0.066129
Training Epoch: 1 [32000/47500]	Loss: 2.5441	LR: 0.066667
Training Epoch: 1 [32256/47500]	Loss: 2.5180	LR: 0.067204
Training Epoch: 1 [32512/47500]	Loss: 2.5371	LR: 0.067742
Training Epoch: 1 [32768/47500]	Loss: 2.4580	LR: 0.068280
Training Epoch: 1 [33024/47500]	Loss: 2.4490	LR: 0.068817
Training Epoch: 1 [33280/47500]	Loss: 2.4000	LR: 0.069355
Training Epoch: 1 [33536/47500]	Loss: 2.5286	LR: 0.069892
Training Epoch: 1 [33792/47500]	Loss: 2.4956	LR: 0.070430
Training Epoch: 1 [34048/47500]	Loss: 2.4113	LR: 0.070968
Training Epoch: 1 [34304/47500]	Loss: 2.4673	LR: 0.071505
Training Epoch: 1 [34560/47500]	Loss: 2.5918	LR: 0.072043
Training Epoch: 1 [34816/47500]	Loss: 2.4449	LR: 0.072581
Training Epoch: 1 [35072/47500]	Loss: 2.4276	LR: 0.073118
Training Epoch: 1 [35328/47500]	Loss: 2.4262	LR: 0.073656
Training Epoch: 1 [35584/47500]	Loss: 2.3196	LR: 0.074194
Training Epoch: 1 [35840/47500]	Loss: 2.3616	LR: 0.074731
Training Epoch: 1 [36096/47500]	Loss: 2.3373	LR: 0.075269
Training Epoch: 1 [36352/47500]	Loss: 2.3512	LR: 0.075806
Training Epoch: 1 [36608/47500]	Loss: 2.4013	LR: 0.076344
Training Epoch: 1 [36864/47500]	Loss: 2.4282	LR: 0.076882
Training Epoch: 1 [37120/47500]	Loss: 2.5195	LR: 0.077419
Training Epoch: 1 [37376/47500]	Loss: 2.4379	LR: 0.077957
Training Epoch: 1 [37632/47500]	Loss: 2.4249	LR: 0.078495
Training Epoch: 1 [37888/47500]	Loss: 2.4564	LR: 0.079032
Training Epoch: 1 [38144/47500]	Loss: 2.3989	LR: 0.079570
Training Epoch: 1 [38400/47500]	Loss: 2.4763	LR: 0.080108
Training Epoch: 1 [38656/47500]	Loss: 2.4500	LR: 0.080645
Training Epoch: 1 [38912/47500]	Loss: 2.4958	LR: 0.081183
Training Epoch: 1 [39168/47500]	Loss: 2.4148	LR: 0.081720
Training Epoch: 1 [39424/47500]	Loss: 2.2756	LR: 0.082258
Training Epoch: 1 [39680/47500]	Loss: 2.4742	LR: 0.082796
Training Epoch: 1 [39936/47500]	Loss: 2.2305	LR: 0.083333
Training Epoch: 1 [40192/47500]	Loss: 2.3450	LR: 0.083871
Training Epoch: 1 [40448/47500]	Loss: 2.4500	LR: 0.084409
Training Epoch: 1 [40704/47500]	Loss: 2.4182	LR: 0.084946
Training Epoch: 1 [40960/47500]	Loss: 2.5281	LR: 0.085484
Training Epoch: 1 [41216/47500]	Loss: 2.3893	LR: 0.086022
Training Epoch: 1 [41472/47500]	Loss: 2.4262	LR: 0.086559
Training Epoch: 1 [41728/47500]	Loss: 2.5238	LR: 0.087097
Training Epoch: 1 [41984/47500]	Loss: 2.3693	LR: 0.087634
Training Epoch: 1 [42240/47500]	Loss: 2.4790	LR: 0.088172
Training Epoch: 1 [42496/47500]	Loss: 2.4904	LR: 0.088710
Training Epoch: 1 [42752/47500]	Loss: 2.4770	LR: 0.089247
Training Epoch: 1 [43008/47500]	Loss: 2.3823	LR: 0.089785
Training Epoch: 1 [43264/47500]	Loss: 2.4698	LR: 0.090323
Training Epoch: 1 [43520/47500]	Loss: 2.3532	LR: 0.090860
Training Epoch: 1 [43776/47500]	Loss: 2.3960	LR: 0.091398
Training Epoch: 1 [44032/47500]	Loss: 2.3780	LR: 0.091935
Training Epoch: 1 [44288/47500]	Loss: 2.3292	LR: 0.092473
Training Epoch: 1 [44544/47500]	Loss: 2.3594	LR: 0.093011
Training Epoch: 1 [44800/47500]	Loss: 2.4405	LR: 0.093548
Training Epoch: 1 [45056/47500]	Loss: 2.4504	LR: 0.094086
Training Epoch: 1 [45312/47500]	Loss: 2.4320	LR: 0.094624
Training Epoch: 1 [45568/47500]	Loss: 2.3183	LR: 0.095161
Training Epoch: 1 [45824/47500]	Loss: 2.2631	LR: 0.095699
Training Epoch: 1 [46080/47500]	Loss: 2.3080	LR: 0.096237
Training Epoch: 1 [46336/47500]	Loss: 2.4936	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 2.4401	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 2.5006	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 2.2423	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 2.3691	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 2.2051	LR: 0.099462
Epoch 1 - Average Train Loss: 2.5512, Train Accuracy: 0.2174
Epoch 1 training time consumed: 29.38s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0108, Accuracy: 0.2375, Time consumed:1.09s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_20h_34m_46s/ResNet18-Cifar20-seed6-ret50-1-best.pth
Training Epoch: 2 [256/47500]	Loss: 2.3291	LR: 0.100000
Training Epoch: 2 [512/47500]	Loss: 2.4306	LR: 0.100000
Training Epoch: 2 [768/47500]	Loss: 2.3861	LR: 0.100000
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Epoch 2 - Average Train Loss: 2.1668, Train Accuracy: 0.3281
Epoch 2 training time consumed: 28.44s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0086, Accuracy: 0.3509, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_20h_34m_46s/ResNet18-Cifar20-seed6-ret50-2-best.pth
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Training Epoch: 3 [47500/47500]	Loss: 1.6520	LR: 0.100000
Epoch 3 - Average Train Loss: 1.9308, Train Accuracy: 0.3949
Epoch 3 training time consumed: 28.35s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0072, Accuracy: 0.4368, Time consumed:1.00s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_20h_34m_46s/ResNet18-Cifar20-seed6-ret50-3-best.pth
Training Epoch: 4 [256/47500]	Loss: 1.7622	LR: 0.100000
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Training Epoch: 4 [47500/47500]	Loss: 1.7504	LR: 0.100000
Epoch 4 - Average Train Loss: 1.7126, Train Accuracy: 0.4615
Epoch 4 training time consumed: 28.43s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0066, Accuracy: 0.4829, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_20h_34m_46s/ResNet18-Cifar20-seed6-ret50-4-best.pth
Training Epoch: 5 [256/47500]	Loss: 1.6367	LR: 0.100000
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Epoch 5 - Average Train Loss: 1.5455, Train Accuracy: 0.5086
Epoch 5 training time consumed: 28.44s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0060, Accuracy: 0.5230, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_20h_34m_46s/ResNet18-Cifar20-seed6-ret50-5-best.pth
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Training Epoch: 6 [47500/47500]	Loss: 1.3587	LR: 0.100000
Epoch 6 - Average Train Loss: 1.4014, Train Accuracy: 0.5516
Epoch 6 training time consumed: 28.62s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0058, Accuracy: 0.5403, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_20h_34m_46s/ResNet18-Cifar20-seed6-ret50-6-best.pth
Training Epoch: 7 [256/47500]	Loss: 1.2192	LR: 0.100000
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Training Epoch: 7 [47500/47500]	Loss: 1.3435	LR: 0.100000
Epoch 7 - Average Train Loss: 1.2872, Train Accuracy: 0.5868
Epoch 7 training time consumed: 28.47s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0052, Accuracy: 0.5817, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_20h_34m_46s/ResNet18-Cifar20-seed6-ret50-7-best.pth
Training Epoch: 8 [256/47500]	Loss: 1.1310	LR: 0.100000
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Training Epoch: 8 [20224/47500]	Loss: 1.0671	LR: 0.100000
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Training Epoch: 8 [29952/47500]	Loss: 1.2008	LR: 0.100000
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Training Epoch: 8 [31232/47500]	Loss: 1.1688	LR: 0.100000
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Training Epoch: 8 [35072/47500]	Loss: 1.3476	LR: 0.100000
Training Epoch: 8 [35328/47500]	Loss: 1.2008	LR: 0.100000
Training Epoch: 8 [35584/47500]	Loss: 1.1537	LR: 0.100000
Training Epoch: 8 [35840/47500]	Loss: 1.1786	LR: 0.100000
Training Epoch: 8 [36096/47500]	Loss: 1.1737	LR: 0.100000
Training Epoch: 8 [36352/47500]	Loss: 1.1411	LR: 0.100000
Training Epoch: 8 [36608/47500]	Loss: 1.1833	LR: 0.100000
Training Epoch: 8 [36864/47500]	Loss: 1.1408	LR: 0.100000
Training Epoch: 8 [37120/47500]	Loss: 1.2930	LR: 0.100000
Training Epoch: 8 [37376/47500]	Loss: 1.2430	LR: 0.100000
Training Epoch: 8 [37632/47500]	Loss: 1.2240	LR: 0.100000
Training Epoch: 8 [37888/47500]	Loss: 1.1564	LR: 0.100000
Training Epoch: 8 [38144/47500]	Loss: 1.3394	LR: 0.100000
Training Epoch: 8 [38400/47500]	Loss: 1.2312	LR: 0.100000
Training Epoch: 8 [38656/47500]	Loss: 1.2094	LR: 0.100000
Training Epoch: 8 [38912/47500]	Loss: 1.1476	LR: 0.100000
Training Epoch: 8 [39168/47500]	Loss: 1.4189	LR: 0.100000
Training Epoch: 8 [39424/47500]	Loss: 1.1994	LR: 0.100000
Training Epoch: 8 [39680/47500]	Loss: 1.1386	LR: 0.100000
Training Epoch: 8 [39936/47500]	Loss: 1.1644	LR: 0.100000
Training Epoch: 8 [40192/47500]	Loss: 1.2194	LR: 0.100000
Training Epoch: 8 [40448/47500]	Loss: 1.1570	LR: 0.100000
Training Epoch: 8 [40704/47500]	Loss: 1.3237	LR: 0.100000
Training Epoch: 8 [40960/47500]	Loss: 1.3014	LR: 0.100000
Training Epoch: 8 [41216/47500]	Loss: 1.1210	LR: 0.100000
Training Epoch: 8 [41472/47500]	Loss: 1.0572	LR: 0.100000
Training Epoch: 8 [41728/47500]	Loss: 1.2568	LR: 0.100000
Training Epoch: 8 [41984/47500]	Loss: 1.2948	LR: 0.100000
Training Epoch: 8 [42240/47500]	Loss: 1.1466	LR: 0.100000
Training Epoch: 8 [42496/47500]	Loss: 1.2444	LR: 0.100000
Training Epoch: 8 [42752/47500]	Loss: 1.0019	LR: 0.100000
Training Epoch: 8 [43008/47500]	Loss: 1.1240	LR: 0.100000
Training Epoch: 8 [43264/47500]	Loss: 0.9423	LR: 0.100000
Training Epoch: 8 [43520/47500]	Loss: 1.1608	LR: 0.100000
Training Epoch: 8 [43776/47500]	Loss: 1.1191	LR: 0.100000
Training Epoch: 8 [44032/47500]	Loss: 1.2886	LR: 0.100000
Training Epoch: 8 [44288/47500]	Loss: 1.1225	LR: 0.100000
Training Epoch: 8 [44544/47500]	Loss: 1.2157	LR: 0.100000
Training Epoch: 8 [44800/47500]	Loss: 1.0396	LR: 0.100000
Training Epoch: 8 [45056/47500]	Loss: 1.3053	LR: 0.100000
Training Epoch: 8 [45312/47500]	Loss: 1.1538	LR: 0.100000
Training Epoch: 8 [45568/47500]	Loss: 1.1149	LR: 0.100000
Training Epoch: 8 [45824/47500]	Loss: 1.1495	LR: 0.100000
Training Epoch: 8 [46080/47500]	Loss: 1.0668	LR: 0.100000
Training Epoch: 8 [46336/47500]	Loss: 1.2320	LR: 0.100000
Training Epoch: 8 [46592/47500]	Loss: 1.2438	LR: 0.100000
Training Epoch: 8 [46848/47500]	Loss: 1.1115	LR: 0.100000
Training Epoch: 8 [47104/47500]	Loss: 1.2741	LR: 0.100000
Training Epoch: 8 [47360/47500]	Loss: 1.2432	LR: 0.100000
Training Epoch: 8 [47500/47500]	Loss: 1.0576	LR: 0.100000
Epoch 8 - Average Train Loss: 1.2007, Train Accuracy: 0.6123
Epoch 8 training time consumed: 28.67s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0060, Accuracy: 0.5350, Time consumed:0.90s
Training Epoch: 9 [256/47500]	Loss: 1.1709	LR: 0.100000
Training Epoch: 9 [512/47500]	Loss: 1.2022	LR: 0.100000
Training Epoch: 9 [768/47500]	Loss: 1.2126	LR: 0.100000
Training Epoch: 9 [1024/47500]	Loss: 1.1643	LR: 0.100000
Training Epoch: 9 [1280/47500]	Loss: 1.1426	LR: 0.100000
Training Epoch: 9 [1536/47500]	Loss: 1.0033	LR: 0.100000
Training Epoch: 9 [1792/47500]	Loss: 1.0384	LR: 0.100000
Training Epoch: 9 [2048/47500]	Loss: 1.0636	LR: 0.100000
Training Epoch: 9 [2304/47500]	Loss: 1.1262	LR: 0.100000
Training Epoch: 9 [2560/47500]	Loss: 1.1867	LR: 0.100000
Training Epoch: 9 [2816/47500]	Loss: 1.0284	LR: 0.100000
Training Epoch: 9 [3072/47500]	Loss: 1.0886	LR: 0.100000
Training Epoch: 9 [3328/47500]	Loss: 1.2008	LR: 0.100000
Training Epoch: 9 [3584/47500]	Loss: 1.0844	LR: 0.100000
Training Epoch: 9 [3840/47500]	Loss: 1.1737	LR: 0.100000
Training Epoch: 9 [4096/47500]	Loss: 1.2413	LR: 0.100000
Training Epoch: 9 [4352/47500]	Loss: 1.2342	LR: 0.100000
Training Epoch: 9 [4608/47500]	Loss: 1.0815	LR: 0.100000
Training Epoch: 9 [4864/47500]	Loss: 0.9959	LR: 0.100000
Training Epoch: 9 [5120/47500]	Loss: 1.0565	LR: 0.100000
Training Epoch: 9 [5376/47500]	Loss: 0.9757	LR: 0.100000
Training Epoch: 9 [5632/47500]	Loss: 1.1932	LR: 0.100000
Training Epoch: 9 [5888/47500]	Loss: 1.1721	LR: 0.100000
Training Epoch: 9 [6144/47500]	Loss: 1.1609	LR: 0.100000
Training Epoch: 9 [6400/47500]	Loss: 1.0781	LR: 0.100000
Training Epoch: 9 [6656/47500]	Loss: 1.1873	LR: 0.100000
Training Epoch: 9 [6912/47500]	Loss: 1.0778	LR: 0.100000
Training Epoch: 9 [7168/47500]	Loss: 1.0166	LR: 0.100000
Training Epoch: 9 [7424/47500]	Loss: 1.2612	LR: 0.100000
Training Epoch: 9 [7680/47500]	Loss: 1.0951	LR: 0.100000
Training Epoch: 9 [7936/47500]	Loss: 1.2424	LR: 0.100000
Training Epoch: 9 [8192/47500]	Loss: 1.1156	LR: 0.100000
Training Epoch: 9 [8448/47500]	Loss: 1.0931	LR: 0.100000
Training Epoch: 9 [8704/47500]	Loss: 1.1469	LR: 0.100000
Training Epoch: 9 [8960/47500]	Loss: 1.2148	LR: 0.100000
Training Epoch: 9 [9216/47500]	Loss: 1.1936	LR: 0.100000
Training Epoch: 9 [9472/47500]	Loss: 1.1863	LR: 0.100000
Training Epoch: 9 [9728/47500]	Loss: 1.1237	LR: 0.100000
Training Epoch: 9 [9984/47500]	Loss: 1.0007	LR: 0.100000
Training Epoch: 9 [10240/47500]	Loss: 1.1431	LR: 0.100000
Training Epoch: 9 [10496/47500]	Loss: 1.1759	LR: 0.100000
Training Epoch: 9 [10752/47500]	Loss: 1.0597	LR: 0.100000
Training Epoch: 9 [11008/47500]	Loss: 1.0238	LR: 0.100000
Training Epoch: 9 [11264/47500]	Loss: 1.1586	LR: 0.100000
Training Epoch: 9 [11520/47500]	Loss: 0.9885	LR: 0.100000
Training Epoch: 9 [11776/47500]	Loss: 1.0710	LR: 0.100000
Training Epoch: 9 [12032/47500]	Loss: 1.0612	LR: 0.100000
Training Epoch: 9 [12288/47500]	Loss: 1.1279	LR: 0.100000
Training Epoch: 9 [12544/47500]	Loss: 1.0846	LR: 0.100000
Training Epoch: 9 [12800/47500]	Loss: 1.0435	LR: 0.100000
Training Epoch: 9 [13056/47500]	Loss: 1.0431	LR: 0.100000
Training Epoch: 9 [13312/47500]	Loss: 0.9913	LR: 0.100000
Training Epoch: 9 [13568/47500]	Loss: 1.2320	LR: 0.100000
Training Epoch: 9 [13824/47500]	Loss: 1.0539	LR: 0.100000
Training Epoch: 9 [14080/47500]	Loss: 1.0356	LR: 0.100000
Training Epoch: 9 [14336/47500]	Loss: 1.1586	LR: 0.100000
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Training Epoch: 9 [14848/47500]	Loss: 1.0567	LR: 0.100000
Training Epoch: 9 [15104/47500]	Loss: 1.1664	LR: 0.100000
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Training Epoch: 9 [15616/47500]	Loss: 1.1477	LR: 0.100000
Training Epoch: 9 [15872/47500]	Loss: 1.1608	LR: 0.100000
Training Epoch: 9 [16128/47500]	Loss: 1.0119	LR: 0.100000
Training Epoch: 9 [16384/47500]	Loss: 1.1891	LR: 0.100000
Training Epoch: 9 [16640/47500]	Loss: 1.0685	LR: 0.100000
Training Epoch: 9 [16896/47500]	Loss: 1.1070	LR: 0.100000
Training Epoch: 9 [17152/47500]	Loss: 1.2298	LR: 0.100000
Training Epoch: 9 [17408/47500]	Loss: 1.0491	LR: 0.100000
Training Epoch: 9 [17664/47500]	Loss: 1.1737	LR: 0.100000
Training Epoch: 9 [17920/47500]	Loss: 1.2188	LR: 0.100000
Training Epoch: 9 [18176/47500]	Loss: 1.0735	LR: 0.100000
Training Epoch: 9 [18432/47500]	Loss: 1.1316	LR: 0.100000
Training Epoch: 9 [18688/47500]	Loss: 1.1263	LR: 0.100000
Training Epoch: 9 [18944/47500]	Loss: 1.0083	LR: 0.100000
Training Epoch: 9 [19200/47500]	Loss: 1.0392	LR: 0.100000
Training Epoch: 9 [19456/47500]	Loss: 1.1245	LR: 0.100000
Training Epoch: 9 [19712/47500]	Loss: 0.9999	LR: 0.100000
Training Epoch: 9 [19968/47500]	Loss: 1.1385	LR: 0.100000
Training Epoch: 9 [20224/47500]	Loss: 1.1257	LR: 0.100000
Training Epoch: 9 [20480/47500]	Loss: 1.0220	LR: 0.100000
Training Epoch: 9 [20736/47500]	Loss: 1.1262	LR: 0.100000
Training Epoch: 9 [20992/47500]	Loss: 1.3194	LR: 0.100000
Training Epoch: 9 [21248/47500]	Loss: 1.2349	LR: 0.100000
Training Epoch: 9 [21504/47500]	Loss: 1.1508	LR: 0.100000
Training Epoch: 9 [21760/47500]	Loss: 1.2556	LR: 0.100000
Training Epoch: 9 [22016/47500]	Loss: 1.2268	LR: 0.100000
Training Epoch: 9 [22272/47500]	Loss: 1.0617	LR: 0.100000
Training Epoch: 9 [22528/47500]	Loss: 1.0940	LR: 0.100000
Training Epoch: 9 [22784/47500]	Loss: 1.1462	LR: 0.100000
Training Epoch: 9 [23040/47500]	Loss: 1.0698	LR: 0.100000
Training Epoch: 9 [23296/47500]	Loss: 1.1069	LR: 0.100000
Training Epoch: 9 [23552/47500]	Loss: 1.1311	LR: 0.100000
Training Epoch: 9 [23808/47500]	Loss: 1.1663	LR: 0.100000
Training Epoch: 9 [24064/47500]	Loss: 1.1182	LR: 0.100000
Training Epoch: 9 [24320/47500]	Loss: 1.0565	LR: 0.100000
Training Epoch: 9 [24576/47500]	Loss: 1.2446	LR: 0.100000
Training Epoch: 9 [24832/47500]	Loss: 1.0837	LR: 0.100000
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Training Epoch: 9 [25856/47500]	Loss: 1.2015	LR: 0.100000
Training Epoch: 9 [26112/47500]	Loss: 1.0689	LR: 0.100000
Training Epoch: 9 [26368/47500]	Loss: 0.9968	LR: 0.100000
Training Epoch: 9 [26624/47500]	Loss: 1.1710	LR: 0.100000
Training Epoch: 9 [26880/47500]	Loss: 1.1294	LR: 0.100000
Training Epoch: 9 [27136/47500]	Loss: 1.0077	LR: 0.100000
Training Epoch: 9 [27392/47500]	Loss: 1.2441	LR: 0.100000
Training Epoch: 9 [27648/47500]	Loss: 1.1153	LR: 0.100000
Training Epoch: 9 [27904/47500]	Loss: 1.1767	LR: 0.100000
Training Epoch: 9 [28160/47500]	Loss: 1.0874	LR: 0.100000
Training Epoch: 9 [28416/47500]	Loss: 1.3158	LR: 0.100000
Training Epoch: 9 [28672/47500]	Loss: 1.0635	LR: 0.100000
Training Epoch: 9 [28928/47500]	Loss: 1.1445	LR: 0.100000
Training Epoch: 9 [29184/47500]	Loss: 1.0504	LR: 0.100000
Training Epoch: 9 [29440/47500]	Loss: 1.1434	LR: 0.100000
Training Epoch: 9 [29696/47500]	Loss: 1.0768	LR: 0.100000
Training Epoch: 9 [29952/47500]	Loss: 1.1495	LR: 0.100000
Training Epoch: 9 [30208/47500]	Loss: 1.2075	LR: 0.100000
Training Epoch: 9 [30464/47500]	Loss: 1.1770	LR: 0.100000
Training Epoch: 9 [30720/47500]	Loss: 1.0452	LR: 0.100000
Training Epoch: 9 [30976/47500]	Loss: 1.2935	LR: 0.100000
Training Epoch: 9 [31232/47500]	Loss: 1.1518	LR: 0.100000
Training Epoch: 9 [31488/47500]	Loss: 1.2218	LR: 0.100000
Training Epoch: 9 [31744/47500]	Loss: 1.1999	LR: 0.100000
Training Epoch: 9 [32000/47500]	Loss: 1.1260	LR: 0.100000
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Training Epoch: 9 [32512/47500]	Loss: 1.0215	LR: 0.100000
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Training Epoch: 9 [33536/47500]	Loss: 1.2625	LR: 0.100000
Training Epoch: 9 [33792/47500]	Loss: 1.1609	LR: 0.100000
Training Epoch: 9 [34048/47500]	Loss: 1.0954	LR: 0.100000
Training Epoch: 9 [34304/47500]	Loss: 1.1458	LR: 0.100000
Training Epoch: 9 [34560/47500]	Loss: 1.2124	LR: 0.100000
Training Epoch: 9 [34816/47500]	Loss: 0.9941	LR: 0.100000
Training Epoch: 9 [35072/47500]	Loss: 1.1224	LR: 0.100000
Training Epoch: 9 [35328/47500]	Loss: 1.2839	LR: 0.100000
Training Epoch: 9 [35584/47500]	Loss: 1.1384	LR: 0.100000
Training Epoch: 9 [35840/47500]	Loss: 0.9790	LR: 0.100000
Training Epoch: 9 [36096/47500]	Loss: 1.0110	LR: 0.100000
Training Epoch: 9 [36352/47500]	Loss: 1.2443	LR: 0.100000
Training Epoch: 9 [36608/47500]	Loss: 1.0070	LR: 0.100000
Training Epoch: 9 [36864/47500]	Loss: 1.2697	LR: 0.100000
Training Epoch: 9 [37120/47500]	Loss: 1.1705	LR: 0.100000
Training Epoch: 9 [37376/47500]	Loss: 0.9794	LR: 0.100000
Training Epoch: 9 [37632/47500]	Loss: 1.0487	LR: 0.100000
Training Epoch: 9 [37888/47500]	Loss: 1.2126	LR: 0.100000
Training Epoch: 9 [38144/47500]	Loss: 1.1877	LR: 0.100000
Training Epoch: 9 [38400/47500]	Loss: 1.1504	LR: 0.100000
Training Epoch: 9 [38656/47500]	Loss: 1.1919	LR: 0.100000
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Training Epoch: 9 [39168/47500]	Loss: 1.2028	LR: 0.100000
Training Epoch: 9 [39424/47500]	Loss: 1.0642	LR: 0.100000
Training Epoch: 9 [39680/47500]	Loss: 1.0896	LR: 0.100000
Training Epoch: 9 [39936/47500]	Loss: 1.1141	LR: 0.100000
Training Epoch: 9 [40192/47500]	Loss: 1.1683	LR: 0.100000
Training Epoch: 9 [40448/47500]	Loss: 0.9963	LR: 0.100000
Training Epoch: 9 [40704/47500]	Loss: 1.1816	LR: 0.100000
Training Epoch: 9 [40960/47500]	Loss: 1.1343	LR: 0.100000
Training Epoch: 9 [41216/47500]	Loss: 1.1910	LR: 0.100000
Training Epoch: 9 [41472/47500]	Loss: 1.0342	LR: 0.100000
Training Epoch: 9 [41728/47500]	Loss: 0.9360	LR: 0.100000
Training Epoch: 9 [41984/47500]	Loss: 1.2629	LR: 0.100000
Training Epoch: 9 [42240/47500]	Loss: 1.1193	LR: 0.100000
Training Epoch: 9 [42496/47500]	Loss: 1.0635	LR: 0.100000
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Training Epoch: 9 [44032/47500]	Loss: 1.1237	LR: 0.100000
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Training Epoch: 9 [44544/47500]	Loss: 1.1190	LR: 0.100000
Training Epoch: 9 [44800/47500]	Loss: 1.1681	LR: 0.100000
Training Epoch: 9 [45056/47500]	Loss: 1.0935	LR: 0.100000
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Training Epoch: 9 [47360/47500]	Loss: 1.1023	LR: 0.100000
Training Epoch: 9 [47500/47500]	Loss: 1.0339	LR: 0.100000
Epoch 9 - Average Train Loss: 1.1214, Train Accuracy: 0.6385
Epoch 9 training time consumed: 28.51s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0053, Accuracy: 0.5914, Time consumed:0.87s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_20h_34m_46s/ResNet18-Cifar20-seed6-ret50-9-best.pth
Training Epoch: 10 [256/47500]	Loss: 0.8966	LR: 0.100000
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Training Epoch: 10 [47500/47500]	Loss: 1.0837	LR: 0.100000
Epoch 10 - Average Train Loss: 1.0627, Train Accuracy: 0.6545
Epoch 10 training time consumed: 28.53s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0046, Accuracy: 0.6426, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_20h_34m_46s/ResNet18-Cifar20-seed6-ret50-10-best.pth
Training Epoch: 11 [256/47500]	Loss: 0.8696	LR: 0.100000
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Training Epoch: 11 [47500/47500]	Loss: 0.8571	LR: 0.100000
Epoch 11 - Average Train Loss: 1.0024, Train Accuracy: 0.6737
Epoch 11 training time consumed: 28.47s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0043, Accuracy: 0.6579, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_20h_34m_46s/ResNet18-Cifar20-seed6-ret50-11-best.pth
Training Epoch: 12 [256/47500]	Loss: 0.9731	LR: 0.100000
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Training Epoch: 12 [47500/47500]	Loss: 1.0248	LR: 0.100000
Epoch 12 - Average Train Loss: 0.9620, Train Accuracy: 0.6882
Epoch 12 training time consumed: 28.57s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0040, Accuracy: 0.6680, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_20h_34m_46s/ResNet18-Cifar20-seed6-ret50-12-best.pth
Training Epoch: 13 [256/47500]	Loss: 0.8758	LR: 0.100000
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Training Epoch: 13 [4096/47500]	Loss: 0.8859	LR: 0.100000
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Training Epoch: 13 [19712/47500]	Loss: 0.9152	LR: 0.100000
Training Epoch: 13 [19968/47500]	Loss: 0.7995	LR: 0.100000
Training Epoch: 13 [20224/47500]	Loss: 0.8272	LR: 0.100000
Training Epoch: 13 [20480/47500]	Loss: 0.9720	LR: 0.100000
Training Epoch: 13 [20736/47500]	Loss: 0.8751	LR: 0.100000
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Training Epoch: 13 [21504/47500]	Loss: 0.9219	LR: 0.100000
Training Epoch: 13 [21760/47500]	Loss: 0.8301	LR: 0.100000
Training Epoch: 13 [22016/47500]	Loss: 1.0206	LR: 0.100000
Training Epoch: 13 [22272/47500]	Loss: 0.8762	LR: 0.100000
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Training Epoch: 13 [24576/47500]	Loss: 1.0731	LR: 0.100000
Training Epoch: 13 [24832/47500]	Loss: 0.8715	LR: 0.100000
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Training Epoch: 13 [28416/47500]	Loss: 1.0401	LR: 0.100000
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Training Epoch: 13 [29952/47500]	Loss: 0.9858	LR: 0.100000
Training Epoch: 13 [30208/47500]	Loss: 0.8422	LR: 0.100000
Training Epoch: 13 [30464/47500]	Loss: 0.7841	LR: 0.100000
Training Epoch: 13 [30720/47500]	Loss: 0.9806	LR: 0.100000
Training Epoch: 13 [30976/47500]	Loss: 0.9214	LR: 0.100000
Training Epoch: 13 [31232/47500]	Loss: 1.0405	LR: 0.100000
Training Epoch: 13 [31488/47500]	Loss: 0.9108	LR: 0.100000
Training Epoch: 13 [31744/47500]	Loss: 0.8635	LR: 0.100000
Training Epoch: 13 [32000/47500]	Loss: 0.9883	LR: 0.100000
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Training Epoch: 13 [34560/47500]	Loss: 0.9087	LR: 0.100000
Training Epoch: 13 [34816/47500]	Loss: 0.8591	LR: 0.100000
Training Epoch: 13 [35072/47500]	Loss: 1.0023	LR: 0.100000
Training Epoch: 13 [35328/47500]	Loss: 0.9526	LR: 0.100000
Training Epoch: 13 [35584/47500]	Loss: 0.9728	LR: 0.100000
Training Epoch: 13 [35840/47500]	Loss: 0.9602	LR: 0.100000
Training Epoch: 13 [36096/47500]	Loss: 0.9787	LR: 0.100000
Training Epoch: 13 [36352/47500]	Loss: 0.8524	LR: 0.100000
Training Epoch: 13 [36608/47500]	Loss: 0.9251	LR: 0.100000
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Training Epoch: 13 [37376/47500]	Loss: 0.7706	LR: 0.100000
Training Epoch: 13 [37632/47500]	Loss: 0.9538	LR: 0.100000
Training Epoch: 13 [37888/47500]	Loss: 0.9150	LR: 0.100000
Training Epoch: 13 [38144/47500]	Loss: 0.9108	LR: 0.100000
Training Epoch: 13 [38400/47500]	Loss: 0.9937	LR: 0.100000
Training Epoch: 13 [38656/47500]	Loss: 1.0742	LR: 0.100000
Training Epoch: 13 [38912/47500]	Loss: 0.8245	LR: 0.100000
Training Epoch: 13 [39168/47500]	Loss: 0.9846	LR: 0.100000
Training Epoch: 13 [39424/47500]	Loss: 0.9589	LR: 0.100000
Training Epoch: 13 [39680/47500]	Loss: 0.9148	LR: 0.100000
Training Epoch: 13 [39936/47500]	Loss: 0.8091	LR: 0.100000
Training Epoch: 13 [40192/47500]	Loss: 1.0680	LR: 0.100000
Training Epoch: 13 [40448/47500]	Loss: 0.9537	LR: 0.100000
Training Epoch: 13 [40704/47500]	Loss: 0.9857	LR: 0.100000
Training Epoch: 13 [40960/47500]	Loss: 0.9676	LR: 0.100000
Training Epoch: 13 [41216/47500]	Loss: 0.9829	LR: 0.100000
Training Epoch: 13 [41472/47500]	Loss: 0.9582	LR: 0.100000
Training Epoch: 13 [41728/47500]	Loss: 0.8336	LR: 0.100000
Training Epoch: 13 [41984/47500]	Loss: 1.0087	LR: 0.100000
Training Epoch: 13 [42240/47500]	Loss: 0.9424	LR: 0.100000
Training Epoch: 13 [42496/47500]	Loss: 1.0553	LR: 0.100000
Training Epoch: 13 [42752/47500]	Loss: 1.0741	LR: 0.100000
Training Epoch: 13 [43008/47500]	Loss: 0.9255	LR: 0.100000
Training Epoch: 13 [43264/47500]	Loss: 0.7747	LR: 0.100000
Training Epoch: 13 [43520/47500]	Loss: 1.0439	LR: 0.100000
Training Epoch: 13 [43776/47500]	Loss: 1.0405	LR: 0.100000
Training Epoch: 13 [44032/47500]	Loss: 0.8886	LR: 0.100000
Training Epoch: 13 [44288/47500]	Loss: 1.0079	LR: 0.100000
Training Epoch: 13 [44544/47500]	Loss: 1.0014	LR: 0.100000
Training Epoch: 13 [44800/47500]	Loss: 0.9281	LR: 0.100000
Training Epoch: 13 [45056/47500]	Loss: 0.8678	LR: 0.100000
Training Epoch: 13 [45312/47500]	Loss: 0.9723	LR: 0.100000
Training Epoch: 13 [45568/47500]	Loss: 0.9805	LR: 0.100000
Training Epoch: 13 [45824/47500]	Loss: 1.1048	LR: 0.100000
Training Epoch: 13 [46080/47500]	Loss: 1.0047	LR: 0.100000
Training Epoch: 13 [46336/47500]	Loss: 0.9616	LR: 0.100000
Training Epoch: 13 [46592/47500]	Loss: 0.9711	LR: 0.100000
Training Epoch: 13 [46848/47500]	Loss: 0.8218	LR: 0.100000
Training Epoch: 13 [47104/47500]	Loss: 1.0231	LR: 0.100000
Training Epoch: 13 [47360/47500]	Loss: 0.9208	LR: 0.100000
Training Epoch: 13 [47500/47500]	Loss: 0.9103	LR: 0.100000
Epoch 13 - Average Train Loss: 0.9288, Train Accuracy: 0.6977
Epoch 13 training time consumed: 28.42s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0048, Accuracy: 0.6219, Time consumed:0.95s
Training Epoch: 14 [256/47500]	Loss: 0.8116	LR: 0.100000
Training Epoch: 14 [512/47500]	Loss: 0.8167	LR: 0.100000
Training Epoch: 14 [768/47500]	Loss: 0.9031	LR: 0.100000
Training Epoch: 14 [1024/47500]	Loss: 0.9793	LR: 0.100000
Training Epoch: 14 [1280/47500]	Loss: 0.9998	LR: 0.100000
Training Epoch: 14 [1536/47500]	Loss: 0.7898	LR: 0.100000
Training Epoch: 14 [1792/47500]	Loss: 0.7969	LR: 0.100000
Training Epoch: 14 [2048/47500]	Loss: 0.8917	LR: 0.100000
Training Epoch: 14 [2304/47500]	Loss: 0.8534	LR: 0.100000
Training Epoch: 14 [2560/47500]	Loss: 0.8782	LR: 0.100000
Training Epoch: 14 [2816/47500]	Loss: 0.8300	LR: 0.100000
Training Epoch: 14 [3072/47500]	Loss: 0.8439	LR: 0.100000
Training Epoch: 14 [3328/47500]	Loss: 0.7629	LR: 0.100000
Training Epoch: 14 [3584/47500]	Loss: 0.8258	LR: 0.100000
Training Epoch: 14 [3840/47500]	Loss: 0.7970	LR: 0.100000
Training Epoch: 14 [4096/47500]	Loss: 0.8981	LR: 0.100000
Training Epoch: 14 [4352/47500]	Loss: 0.8300	LR: 0.100000
Training Epoch: 14 [4608/47500]	Loss: 0.8146	LR: 0.100000
Training Epoch: 14 [4864/47500]	Loss: 0.7889	LR: 0.100000
Training Epoch: 14 [5120/47500]	Loss: 0.8403	LR: 0.100000
Training Epoch: 14 [5376/47500]	Loss: 0.9442	LR: 0.100000
Training Epoch: 14 [5632/47500]	Loss: 0.8283	LR: 0.100000
Training Epoch: 14 [5888/47500]	Loss: 0.9767	LR: 0.100000
Training Epoch: 14 [6144/47500]	Loss: 0.9291	LR: 0.100000
Training Epoch: 14 [6400/47500]	Loss: 0.7888	LR: 0.100000
Training Epoch: 14 [6656/47500]	Loss: 0.8802	LR: 0.100000
Training Epoch: 14 [6912/47500]	Loss: 0.8782	LR: 0.100000
Training Epoch: 14 [7168/47500]	Loss: 0.9635	LR: 0.100000
Training Epoch: 14 [7424/47500]	Loss: 0.8563	LR: 0.100000
Training Epoch: 14 [7680/47500]	Loss: 0.7785	LR: 0.100000
Training Epoch: 14 [7936/47500]	Loss: 0.7891	LR: 0.100000
Training Epoch: 14 [8192/47500]	Loss: 0.7867	LR: 0.100000
Training Epoch: 14 [8448/47500]	Loss: 0.7745	LR: 0.100000
Training Epoch: 14 [8704/47500]	Loss: 0.9694	LR: 0.100000
Training Epoch: 14 [8960/47500]	Loss: 0.9512	LR: 0.100000
Training Epoch: 14 [9216/47500]	Loss: 0.8306	LR: 0.100000
Training Epoch: 14 [9472/47500]	Loss: 0.8027	LR: 0.100000
Training Epoch: 14 [9728/47500]	Loss: 0.8883	LR: 0.100000
Training Epoch: 14 [9984/47500]	Loss: 0.9033	LR: 0.100000
Training Epoch: 14 [10240/47500]	Loss: 0.7125	LR: 0.100000
Training Epoch: 14 [10496/47500]	Loss: 0.9475	LR: 0.100000
Training Epoch: 14 [10752/47500]	Loss: 0.8756	LR: 0.100000
Training Epoch: 14 [11008/47500]	Loss: 0.8002	LR: 0.100000
Training Epoch: 14 [11264/47500]	Loss: 0.8358	LR: 0.100000
Training Epoch: 14 [11520/47500]	Loss: 0.9062	LR: 0.100000
Training Epoch: 14 [11776/47500]	Loss: 0.9360	LR: 0.100000
Training Epoch: 14 [12032/47500]	Loss: 0.7919	LR: 0.100000
Training Epoch: 14 [12288/47500]	Loss: 0.8038	LR: 0.100000
Training Epoch: 14 [12544/47500]	Loss: 0.8700	LR: 0.100000
Training Epoch: 14 [12800/47500]	Loss: 0.5989	LR: 0.100000
Training Epoch: 14 [13056/47500]	Loss: 0.8247	LR: 0.100000
Training Epoch: 14 [13312/47500]	Loss: 0.8505	LR: 0.100000
Training Epoch: 14 [13568/47500]	Loss: 0.8778	LR: 0.100000
Training Epoch: 14 [13824/47500]	Loss: 0.8699	LR: 0.100000
Training Epoch: 14 [14080/47500]	Loss: 0.7729	LR: 0.100000
Training Epoch: 14 [14336/47500]	Loss: 0.8965	LR: 0.100000
Training Epoch: 14 [14592/47500]	Loss: 0.9892	LR: 0.100000
Training Epoch: 14 [14848/47500]	Loss: 0.8252	LR: 0.100000
Training Epoch: 14 [15104/47500]	Loss: 0.8524	LR: 0.100000
Training Epoch: 14 [15360/47500]	Loss: 0.9863	LR: 0.100000
Training Epoch: 14 [15616/47500]	Loss: 0.8958	LR: 0.100000
Training Epoch: 14 [15872/47500]	Loss: 1.0144	LR: 0.100000
Training Epoch: 14 [16128/47500]	Loss: 0.8318	LR: 0.100000
Training Epoch: 14 [16384/47500]	Loss: 0.8954	LR: 0.100000
Training Epoch: 14 [16640/47500]	Loss: 0.8494	LR: 0.100000
Training Epoch: 14 [16896/47500]	Loss: 0.8204	LR: 0.100000
Training Epoch: 14 [17152/47500]	Loss: 0.7655	LR: 0.100000
Training Epoch: 14 [17408/47500]	Loss: 0.9119	LR: 0.100000
Training Epoch: 14 [17664/47500]	Loss: 0.8606	LR: 0.100000
Training Epoch: 14 [17920/47500]	Loss: 0.8770	LR: 0.100000
Training Epoch: 14 [18176/47500]	Loss: 0.9415	LR: 0.100000
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Training Epoch: 14 [18688/47500]	Loss: 0.8157	LR: 0.100000
Training Epoch: 14 [18944/47500]	Loss: 0.8499	LR: 0.100000
Training Epoch: 14 [19200/47500]	Loss: 0.8739	LR: 0.100000
Training Epoch: 14 [19456/47500]	Loss: 0.9067	LR: 0.100000
Training Epoch: 14 [19712/47500]	Loss: 0.9828	LR: 0.100000
Training Epoch: 14 [19968/47500]	Loss: 0.9209	LR: 0.100000
Training Epoch: 14 [20224/47500]	Loss: 1.0029	LR: 0.100000
Training Epoch: 14 [20480/47500]	Loss: 0.9511	LR: 0.100000
Training Epoch: 14 [20736/47500]	Loss: 0.9464	LR: 0.100000
Training Epoch: 14 [20992/47500]	Loss: 0.8070	LR: 0.100000
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Training Epoch: 14 [22016/47500]	Loss: 0.7572	LR: 0.100000
Training Epoch: 14 [22272/47500]	Loss: 0.9155	LR: 0.100000
Training Epoch: 14 [22528/47500]	Loss: 0.8897	LR: 0.100000
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Training Epoch: 14 [23552/47500]	Loss: 0.8396	LR: 0.100000
Training Epoch: 14 [23808/47500]	Loss: 0.9960	LR: 0.100000
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Training Epoch: 14 [24320/47500]	Loss: 0.8316	LR: 0.100000
Training Epoch: 14 [24576/47500]	Loss: 0.8547	LR: 0.100000
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Training Epoch: 14 [25600/47500]	Loss: 0.8512	LR: 0.100000
Training Epoch: 14 [25856/47500]	Loss: 0.9888	LR: 0.100000
Training Epoch: 14 [26112/47500]	Loss: 1.0126	LR: 0.100000
Training Epoch: 14 [26368/47500]	Loss: 0.8775	LR: 0.100000
Training Epoch: 14 [26624/47500]	Loss: 0.9083	LR: 0.100000
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Training Epoch: 14 [27136/47500]	Loss: 0.9228	LR: 0.100000
Training Epoch: 14 [27392/47500]	Loss: 0.9950	LR: 0.100000
Training Epoch: 14 [27648/47500]	Loss: 0.9841	LR: 0.100000
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Training Epoch: 14 [28928/47500]	Loss: 0.8319	LR: 0.100000
Training Epoch: 14 [29184/47500]	Loss: 0.9886	LR: 0.100000
Training Epoch: 14 [29440/47500]	Loss: 0.9584	LR: 0.100000
Training Epoch: 14 [29696/47500]	Loss: 0.8433	LR: 0.100000
Training Epoch: 14 [29952/47500]	Loss: 0.8227	LR: 0.100000
Training Epoch: 14 [30208/47500]	Loss: 0.9202	LR: 0.100000
Training Epoch: 14 [30464/47500]	Loss: 0.8808	LR: 0.100000
Training Epoch: 14 [30720/47500]	Loss: 0.9693	LR: 0.100000
Training Epoch: 14 [30976/47500]	Loss: 1.0817	LR: 0.100000
Training Epoch: 14 [31232/47500]	Loss: 0.8739	LR: 0.100000
Training Epoch: 14 [31488/47500]	Loss: 1.0173	LR: 0.100000
Training Epoch: 14 [31744/47500]	Loss: 0.9713	LR: 0.100000
Training Epoch: 14 [32000/47500]	Loss: 1.1037	LR: 0.100000
Training Epoch: 14 [32256/47500]	Loss: 0.9991	LR: 0.100000
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Training Epoch: 14 [32768/47500]	Loss: 0.8958	LR: 0.100000
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Training Epoch: 14 [47500/47500]	Loss: 1.0070	LR: 0.100000
Epoch 14 - Average Train Loss: 0.8946, Train Accuracy: 0.7085
Epoch 14 training time consumed: 28.49s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0044, Accuracy: 0.6536, Time consumed:0.89s
Training Epoch: 15 [256/47500]	Loss: 0.9591	LR: 0.020000
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Training Epoch: 15 [47500/47500]	Loss: 0.5349	LR: 0.020000
Epoch 15 - Average Train Loss: 0.6545, Train Accuracy: 0.7873
Epoch 15 training time consumed: 28.49s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0029, Accuracy: 0.7656, Time consumed:0.87s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_20h_34m_46s/ResNet18-Cifar20-seed6-ret50-15-best.pth
Training Epoch: 16 [256/47500]	Loss: 0.5600	LR: 0.020000
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Training Epoch: 16 [47500/47500]	Loss: 0.5171	LR: 0.020000
Epoch 16 - Average Train Loss: 0.5739, Train Accuracy: 0.8121
Epoch 16 training time consumed: 28.39s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0029, Accuracy: 0.7689, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_20h_34m_46s/ResNet18-Cifar20-seed6-ret50-16-best.pth
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Training Epoch: 17 [47500/47500]	Loss: 0.4953	LR: 0.020000
Epoch 17 - Average Train Loss: 0.5393, Train Accuracy: 0.8243
Epoch 17 training time consumed: 28.50s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0029, Accuracy: 0.7768, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_20h_34m_46s/ResNet18-Cifar20-seed6-ret50-17-best.pth
Training Epoch: 18 [256/47500]	Loss: 0.5360	LR: 0.020000
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Training Epoch: 18 [47500/47500]	Loss: 0.5438	LR: 0.020000
Epoch 18 - Average Train Loss: 0.5074, Train Accuracy: 0.8350
Epoch 18 training time consumed: 28.37s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0029, Accuracy: 0.7781, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_20h_34m_46s/ResNet18-Cifar20-seed6-ret50-18-best.pth
Training Epoch: 19 [256/47500]	Loss: 0.4198	LR: 0.020000
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Training Epoch: 19 [12800/47500]	Loss: 0.4300	LR: 0.020000
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Training Epoch: 19 [13312/47500]	Loss: 0.4612	LR: 0.020000
Training Epoch: 19 [13568/47500]	Loss: 0.4827	LR: 0.020000
Training Epoch: 19 [13824/47500]	Loss: 0.4137	LR: 0.020000
Training Epoch: 19 [14080/47500]	Loss: 0.5386	LR: 0.020000
Training Epoch: 19 [14336/47500]	Loss: 0.4527	LR: 0.020000
Training Epoch: 19 [14592/47500]	Loss: 0.5063	LR: 0.020000
Training Epoch: 19 [14848/47500]	Loss: 0.3951	LR: 0.020000
Training Epoch: 19 [15104/47500]	Loss: 0.4779	LR: 0.020000
Training Epoch: 19 [15360/47500]	Loss: 0.4490	LR: 0.020000
Training Epoch: 19 [15616/47500]	Loss: 0.4746	LR: 0.020000
Training Epoch: 19 [15872/47500]	Loss: 0.5381	LR: 0.020000
Training Epoch: 19 [16128/47500]	Loss: 0.4682	LR: 0.020000
Training Epoch: 19 [16384/47500]	Loss: 0.5211	LR: 0.020000
Training Epoch: 19 [16640/47500]	Loss: 0.4271	LR: 0.020000
Training Epoch: 19 [16896/47500]	Loss: 0.5314	LR: 0.020000
Training Epoch: 19 [17152/47500]	Loss: 0.4956	LR: 0.020000
Training Epoch: 19 [17408/47500]	Loss: 0.5309	LR: 0.020000
Training Epoch: 19 [17664/47500]	Loss: 0.4059	LR: 0.020000
Training Epoch: 19 [17920/47500]	Loss: 0.4709	LR: 0.020000
Training Epoch: 19 [18176/47500]	Loss: 0.5656	LR: 0.020000
Training Epoch: 19 [18432/47500]	Loss: 0.4042	LR: 0.020000
Training Epoch: 19 [18688/47500]	Loss: 0.4564	LR: 0.020000
Training Epoch: 19 [18944/47500]	Loss: 0.4554	LR: 0.020000
Training Epoch: 19 [19200/47500]	Loss: 0.4353	LR: 0.020000
Training Epoch: 19 [19456/47500]	Loss: 0.4045	LR: 0.020000
Training Epoch: 19 [19712/47500]	Loss: 0.5015	LR: 0.020000
Training Epoch: 19 [19968/47500]	Loss: 0.5522	LR: 0.020000
Training Epoch: 19 [20224/47500]	Loss: 0.5149	LR: 0.020000
Training Epoch: 19 [20480/47500]	Loss: 0.4589	LR: 0.020000
Training Epoch: 19 [20736/47500]	Loss: 0.4635	LR: 0.020000
Training Epoch: 19 [20992/47500]	Loss: 0.4545	LR: 0.020000
Training Epoch: 19 [21248/47500]	Loss: 0.5287	LR: 0.020000
Training Epoch: 19 [21504/47500]	Loss: 0.5050	LR: 0.020000
Training Epoch: 19 [21760/47500]	Loss: 0.6064	LR: 0.020000
Training Epoch: 19 [22016/47500]	Loss: 0.4446	LR: 0.020000
Training Epoch: 19 [22272/47500]	Loss: 0.3626	LR: 0.020000
Training Epoch: 19 [22528/47500]	Loss: 0.4530	LR: 0.020000
Training Epoch: 19 [22784/47500]	Loss: 0.5015	LR: 0.020000
Training Epoch: 19 [23040/47500]	Loss: 0.5446	LR: 0.020000
Training Epoch: 19 [23296/47500]	Loss: 0.4566	LR: 0.020000
Training Epoch: 19 [23552/47500]	Loss: 0.4429	LR: 0.020000
Training Epoch: 19 [23808/47500]	Loss: 0.4091	LR: 0.020000
Training Epoch: 19 [24064/47500]	Loss: 0.4631	LR: 0.020000
Training Epoch: 19 [24320/47500]	Loss: 0.4444	LR: 0.020000
Training Epoch: 19 [24576/47500]	Loss: 0.5060	LR: 0.020000
Training Epoch: 19 [24832/47500]	Loss: 0.4641	LR: 0.020000
Training Epoch: 19 [25088/47500]	Loss: 0.4572	LR: 0.020000
Training Epoch: 19 [25344/47500]	Loss: 0.6613	LR: 0.020000
Training Epoch: 19 [25600/47500]	Loss: 0.5040	LR: 0.020000
Training Epoch: 19 [25856/47500]	Loss: 0.5860	LR: 0.020000
Training Epoch: 19 [26112/47500]	Loss: 0.5028	LR: 0.020000
Training Epoch: 19 [26368/47500]	Loss: 0.4899	LR: 0.020000
Training Epoch: 19 [26624/47500]	Loss: 0.4114	LR: 0.020000
Training Epoch: 19 [26880/47500]	Loss: 0.5740	LR: 0.020000
Training Epoch: 19 [27136/47500]	Loss: 0.5137	LR: 0.020000
Training Epoch: 19 [27392/47500]	Loss: 0.5448	LR: 0.020000
Training Epoch: 19 [27648/47500]	Loss: 0.4210	LR: 0.020000
Training Epoch: 19 [27904/47500]	Loss: 0.6293	LR: 0.020000
Training Epoch: 19 [28160/47500]	Loss: 0.4721	LR: 0.020000
Training Epoch: 19 [28416/47500]	Loss: 0.4751	LR: 0.020000
Training Epoch: 19 [28672/47500]	Loss: 0.4650	LR: 0.020000
Training Epoch: 19 [28928/47500]	Loss: 0.4842	LR: 0.020000
Training Epoch: 19 [29184/47500]	Loss: 0.4791	LR: 0.020000
Training Epoch: 19 [29440/47500]	Loss: 0.4746	LR: 0.020000
Training Epoch: 19 [29696/47500]	Loss: 0.4533	LR: 0.020000
Training Epoch: 19 [29952/47500]	Loss: 0.4292	LR: 0.020000
Training Epoch: 19 [30208/47500]	Loss: 0.4805	LR: 0.020000
Training Epoch: 19 [30464/47500]	Loss: 0.5079	LR: 0.020000
Training Epoch: 19 [30720/47500]	Loss: 0.4524	LR: 0.020000
Training Epoch: 19 [30976/47500]	Loss: 0.4833	LR: 0.020000
Training Epoch: 19 [31232/47500]	Loss: 0.5989	LR: 0.020000
Training Epoch: 19 [31488/47500]	Loss: 0.5780	LR: 0.020000
Training Epoch: 19 [31744/47500]	Loss: 0.4733	LR: 0.020000
Training Epoch: 19 [32000/47500]	Loss: 0.4615	LR: 0.020000
Training Epoch: 19 [32256/47500]	Loss: 0.4683	LR: 0.020000
Training Epoch: 19 [32512/47500]	Loss: 0.5283	LR: 0.020000
Training Epoch: 19 [32768/47500]	Loss: 0.5415	LR: 0.020000
Training Epoch: 19 [33024/47500]	Loss: 0.3881	LR: 0.020000
Training Epoch: 19 [33280/47500]	Loss: 0.4468	LR: 0.020000
Training Epoch: 19 [33536/47500]	Loss: 0.5247	LR: 0.020000
Training Epoch: 19 [33792/47500]	Loss: 0.5311	LR: 0.020000
Training Epoch: 19 [34048/47500]	Loss: 0.4722	LR: 0.020000
Training Epoch: 19 [34304/47500]	Loss: 0.5815	LR: 0.020000
Training Epoch: 19 [34560/47500]	Loss: 0.4609	LR: 0.020000
Training Epoch: 19 [34816/47500]	Loss: 0.4843	LR: 0.020000
Training Epoch: 19 [35072/47500]	Loss: 0.5076	LR: 0.020000
Training Epoch: 19 [35328/47500]	Loss: 0.4074	LR: 0.020000
Training Epoch: 19 [35584/47500]	Loss: 0.4736	LR: 0.020000
Training Epoch: 19 [35840/47500]	Loss: 0.5116	LR: 0.020000
Training Epoch: 19 [36096/47500]	Loss: 0.5007	LR: 0.020000
Training Epoch: 19 [36352/47500]	Loss: 0.4676	LR: 0.020000
Training Epoch: 19 [36608/47500]	Loss: 0.4407	LR: 0.020000
Training Epoch: 19 [36864/47500]	Loss: 0.4916	LR: 0.020000
Training Epoch: 19 [37120/47500]	Loss: 0.4507	LR: 0.020000
Training Epoch: 19 [37376/47500]	Loss: 0.6855	LR: 0.020000
Training Epoch: 19 [37632/47500]	Loss: 0.5545	LR: 0.020000
Training Epoch: 19 [37888/47500]	Loss: 0.5550	LR: 0.020000
Training Epoch: 19 [38144/47500]	Loss: 0.5149	LR: 0.020000
Training Epoch: 19 [38400/47500]	Loss: 0.4611	LR: 0.020000
Training Epoch: 19 [38656/47500]	Loss: 0.4580	LR: 0.020000
Training Epoch: 19 [38912/47500]	Loss: 0.5346	LR: 0.020000
Training Epoch: 19 [39168/47500]	Loss: 0.4902	LR: 0.020000
Training Epoch: 19 [39424/47500]	Loss: 0.3696	LR: 0.020000
Training Epoch: 19 [39680/47500]	Loss: 0.3909	LR: 0.020000
Training Epoch: 19 [39936/47500]	Loss: 0.5408	LR: 0.020000
Training Epoch: 19 [40192/47500]	Loss: 0.5069	LR: 0.020000
Training Epoch: 19 [40448/47500]	Loss: 0.5292	LR: 0.020000
Training Epoch: 19 [40704/47500]	Loss: 0.5272	LR: 0.020000
Training Epoch: 19 [40960/47500]	Loss: 0.5229	LR: 0.020000
Training Epoch: 19 [41216/47500]	Loss: 0.4069	LR: 0.020000
Training Epoch: 19 [41472/47500]	Loss: 0.5721	LR: 0.020000
Training Epoch: 19 [41728/47500]	Loss: 0.5119	LR: 0.020000
Training Epoch: 19 [41984/47500]	Loss: 0.4748	LR: 0.020000
Training Epoch: 19 [42240/47500]	Loss: 0.4916	LR: 0.020000
Training Epoch: 19 [42496/47500]	Loss: 0.6254	LR: 0.020000
Training Epoch: 19 [42752/47500]	Loss: 0.4695	LR: 0.020000
Training Epoch: 19 [43008/47500]	Loss: 0.5033	LR: 0.020000
Training Epoch: 19 [43264/47500]	Loss: 0.5167	LR: 0.020000
Training Epoch: 19 [43520/47500]	Loss: 0.5348	LR: 0.020000
Training Epoch: 19 [43776/47500]	Loss: 0.4957	LR: 0.020000
Training Epoch: 19 [44032/47500]	Loss: 0.5119	LR: 0.020000
Training Epoch: 19 [44288/47500]	Loss: 0.3976	LR: 0.020000
Training Epoch: 19 [44544/47500]	Loss: 0.5486	LR: 0.020000
Training Epoch: 19 [44800/47500]	Loss: 0.5066	LR: 0.020000
Training Epoch: 19 [45056/47500]	Loss: 0.4996	LR: 0.020000
Training Epoch: 19 [45312/47500]	Loss: 0.4117	LR: 0.020000
Training Epoch: 19 [45568/47500]	Loss: 0.5732	LR: 0.020000
Training Epoch: 19 [45824/47500]	Loss: 0.4561	LR: 0.020000
Training Epoch: 19 [46080/47500]	Loss: 0.4207	LR: 0.020000
Training Epoch: 19 [46336/47500]	Loss: 0.4402	LR: 0.020000
Training Epoch: 19 [46592/47500]	Loss: 0.6472	LR: 0.020000
Training Epoch: 19 [46848/47500]	Loss: 0.4638	LR: 0.020000
Training Epoch: 19 [47104/47500]	Loss: 0.4592	LR: 0.020000
Training Epoch: 19 [47360/47500]	Loss: 0.4638	LR: 0.020000
Training Epoch: 19 [47500/47500]	Loss: 0.4315	LR: 0.020000
Epoch 19 - Average Train Loss: 0.4843, Train Accuracy: 0.8391
Epoch 19 training time consumed: 28.97s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0029, Accuracy: 0.7766, Time consumed:0.98s
Training Epoch: 20 [256/47500]	Loss: 0.3865	LR: 0.020000
Training Epoch: 20 [512/47500]	Loss: 0.5086	LR: 0.020000
Training Epoch: 20 [768/47500]	Loss: 0.4277	LR: 0.020000
Training Epoch: 20 [1024/47500]	Loss: 0.4515	LR: 0.020000
Training Epoch: 20 [1280/47500]	Loss: 0.3539	LR: 0.020000
Training Epoch: 20 [1536/47500]	Loss: 0.4006	LR: 0.020000
Training Epoch: 20 [1792/47500]	Loss: 0.3490	LR: 0.020000
Training Epoch: 20 [2048/47500]	Loss: 0.4302	LR: 0.020000
Training Epoch: 20 [2304/47500]	Loss: 0.4449	LR: 0.020000
Training Epoch: 20 [2560/47500]	Loss: 0.4185	LR: 0.020000
Training Epoch: 20 [2816/47500]	Loss: 0.4780	LR: 0.020000
Training Epoch: 20 [3072/47500]	Loss: 0.4307	LR: 0.020000
Training Epoch: 20 [3328/47500]	Loss: 0.4273	LR: 0.020000
Training Epoch: 20 [3584/47500]	Loss: 0.4980	LR: 0.020000
Training Epoch: 20 [3840/47500]	Loss: 0.4164	LR: 0.020000
Training Epoch: 20 [4096/47500]	Loss: 0.4118	LR: 0.020000
Training Epoch: 20 [4352/47500]	Loss: 0.4659	LR: 0.020000
Training Epoch: 20 [4608/47500]	Loss: 0.4120	LR: 0.020000
Training Epoch: 20 [4864/47500]	Loss: 0.3895	LR: 0.020000
Training Epoch: 20 [5120/47500]	Loss: 0.4370	LR: 0.020000
Training Epoch: 20 [5376/47500]	Loss: 0.4138	LR: 0.020000
Training Epoch: 20 [5632/47500]	Loss: 0.4783	LR: 0.020000
Training Epoch: 20 [5888/47500]	Loss: 0.3943	LR: 0.020000
Training Epoch: 20 [6144/47500]	Loss: 0.4313	LR: 0.020000
Training Epoch: 20 [6400/47500]	Loss: 0.4779	LR: 0.020000
Training Epoch: 20 [6656/47500]	Loss: 0.4683	LR: 0.020000
Training Epoch: 20 [6912/47500]	Loss: 0.5603	LR: 0.020000
Training Epoch: 20 [7168/47500]	Loss: 0.4529	LR: 0.020000
Training Epoch: 20 [7424/47500]	Loss: 0.4689	LR: 0.020000
Training Epoch: 20 [7680/47500]	Loss: 0.4497	LR: 0.020000
Training Epoch: 20 [7936/47500]	Loss: 0.4094	LR: 0.020000
Training Epoch: 20 [8192/47500]	Loss: 0.4803	LR: 0.020000
Training Epoch: 20 [8448/47500]	Loss: 0.3019	LR: 0.020000
Training Epoch: 20 [8704/47500]	Loss: 0.4665	LR: 0.020000
Training Epoch: 20 [8960/47500]	Loss: 0.4772	LR: 0.020000
Training Epoch: 20 [9216/47500]	Loss: 0.3714	LR: 0.020000
Training Epoch: 20 [9472/47500]	Loss: 0.5171	LR: 0.020000
Training Epoch: 20 [9728/47500]	Loss: 0.3613	LR: 0.020000
Training Epoch: 20 [9984/47500]	Loss: 0.4686	LR: 0.020000
Training Epoch: 20 [10240/47500]	Loss: 0.4526	LR: 0.020000
Training Epoch: 20 [10496/47500]	Loss: 0.4681	LR: 0.020000
Training Epoch: 20 [10752/47500]	Loss: 0.4305	LR: 0.020000
Training Epoch: 20 [11008/47500]	Loss: 0.4271	LR: 0.020000
Training Epoch: 20 [11264/47500]	Loss: 0.5058	LR: 0.020000
Training Epoch: 20 [11520/47500]	Loss: 0.3671	LR: 0.020000
Training Epoch: 20 [11776/47500]	Loss: 0.5008	LR: 0.020000
Training Epoch: 20 [12032/47500]	Loss: 0.5108	LR: 0.020000
Training Epoch: 20 [12288/47500]	Loss: 0.4916	LR: 0.020000
Training Epoch: 20 [12544/47500]	Loss: 0.4894	LR: 0.020000
Training Epoch: 20 [12800/47500]	Loss: 0.4977	LR: 0.020000
Training Epoch: 20 [13056/47500]	Loss: 0.4200	LR: 0.020000
Training Epoch: 20 [13312/47500]	Loss: 0.4290	LR: 0.020000
Training Epoch: 20 [13568/47500]	Loss: 0.3946	LR: 0.020000
Training Epoch: 20 [13824/47500]	Loss: 0.4912	LR: 0.020000
Training Epoch: 20 [14080/47500]	Loss: 0.3932	LR: 0.020000
Training Epoch: 20 [14336/47500]	Loss: 0.5213	LR: 0.020000
Training Epoch: 20 [14592/47500]	Loss: 0.4214	LR: 0.020000
Training Epoch: 20 [14848/47500]	Loss: 0.4688	LR: 0.020000
Training Epoch: 20 [15104/47500]	Loss: 0.4731	LR: 0.020000
Training Epoch: 20 [15360/47500]	Loss: 0.4731	LR: 0.020000
Training Epoch: 20 [15616/47500]	Loss: 0.5388	LR: 0.020000
Training Epoch: 20 [15872/47500]	Loss: 0.4768	LR: 0.020000
Training Epoch: 20 [16128/47500]	Loss: 0.4264	LR: 0.020000
Training Epoch: 20 [16384/47500]	Loss: 0.4240	LR: 0.020000
Training Epoch: 20 [16640/47500]	Loss: 0.3196	LR: 0.020000
Training Epoch: 20 [16896/47500]	Loss: 0.4059	LR: 0.020000
Training Epoch: 20 [17152/47500]	Loss: 0.3813	LR: 0.020000
Training Epoch: 20 [17408/47500]	Loss: 0.5011	LR: 0.020000
Training Epoch: 20 [17664/47500]	Loss: 0.4840	LR: 0.020000
Training Epoch: 20 [17920/47500]	Loss: 0.4783	LR: 0.020000
Training Epoch: 20 [18176/47500]	Loss: 0.4369	LR: 0.020000
Training Epoch: 20 [18432/47500]	Loss: 0.5587	LR: 0.020000
Training Epoch: 20 [18688/47500]	Loss: 0.4793	LR: 0.020000
Training Epoch: 20 [18944/47500]	Loss: 0.4275	LR: 0.020000
Training Epoch: 20 [19200/47500]	Loss: 0.4211	LR: 0.020000
Training Epoch: 20 [19456/47500]	Loss: 0.5515	LR: 0.020000
Training Epoch: 20 [19712/47500]	Loss: 0.4675	LR: 0.020000
Training Epoch: 20 [19968/47500]	Loss: 0.3708	LR: 0.020000
Training Epoch: 20 [20224/47500]	Loss: 0.4268	LR: 0.020000
Training Epoch: 20 [20480/47500]	Loss: 0.4277	LR: 0.020000
Training Epoch: 20 [20736/47500]	Loss: 0.3588	LR: 0.020000
Training Epoch: 20 [20992/47500]	Loss: 0.5213	LR: 0.020000
Training Epoch: 20 [21248/47500]	Loss: 0.5522	LR: 0.020000
Training Epoch: 20 [21504/47500]	Loss: 0.5512	LR: 0.020000
Training Epoch: 20 [21760/47500]	Loss: 0.5987	LR: 0.020000
Training Epoch: 20 [22016/47500]	Loss: 0.4349	LR: 0.020000
Training Epoch: 20 [22272/47500]	Loss: 0.5308	LR: 0.020000
Training Epoch: 20 [22528/47500]	Loss: 0.4191	LR: 0.020000
Training Epoch: 20 [22784/47500]	Loss: 0.4856	LR: 0.020000
Training Epoch: 20 [23040/47500]	Loss: 0.3930	LR: 0.020000
Training Epoch: 20 [23296/47500]	Loss: 0.3938	LR: 0.020000
Training Epoch: 20 [23552/47500]	Loss: 0.5646	LR: 0.020000
Training Epoch: 20 [23808/47500]	Loss: 0.4475	LR: 0.020000
Training Epoch: 20 [24064/47500]	Loss: 0.4661	LR: 0.020000
Training Epoch: 20 [24320/47500]	Loss: 0.5542	LR: 0.020000
Training Epoch: 20 [24576/47500]	Loss: 0.4646	LR: 0.020000
Training Epoch: 20 [24832/47500]	Loss: 0.4670	LR: 0.020000
Training Epoch: 20 [25088/47500]	Loss: 0.4529	LR: 0.020000
Training Epoch: 20 [25344/47500]	Loss: 0.5463	LR: 0.020000
Training Epoch: 20 [25600/47500]	Loss: 0.5414	LR: 0.020000
Training Epoch: 20 [25856/47500]	Loss: 0.5354	LR: 0.020000
Training Epoch: 20 [26112/47500]	Loss: 0.4879	LR: 0.020000
Training Epoch: 20 [26368/47500]	Loss: 0.3829	LR: 0.020000
Training Epoch: 20 [26624/47500]	Loss: 0.5753	LR: 0.020000
Training Epoch: 20 [26880/47500]	Loss: 0.4751	LR: 0.020000
Training Epoch: 20 [27136/47500]	Loss: 0.3920	LR: 0.020000
Training Epoch: 20 [27392/47500]	Loss: 0.5370	LR: 0.020000
Training Epoch: 20 [27648/47500]	Loss: 0.5431	LR: 0.020000
Training Epoch: 20 [27904/47500]	Loss: 0.4103	LR: 0.020000
Training Epoch: 20 [28160/47500]	Loss: 0.3933	LR: 0.020000
Training Epoch: 20 [28416/47500]	Loss: 0.4849	LR: 0.020000
Training Epoch: 20 [28672/47500]	Loss: 0.4869	LR: 0.020000
Training Epoch: 20 [28928/47500]	Loss: 0.4522	LR: 0.020000
Training Epoch: 20 [29184/47500]	Loss: 0.4561	LR: 0.020000
Training Epoch: 20 [29440/47500]	Loss: 0.4740	LR: 0.020000
Training Epoch: 20 [29696/47500]	Loss: 0.4828	LR: 0.020000
Training Epoch: 20 [29952/47500]	Loss: 0.4933	LR: 0.020000
Training Epoch: 20 [30208/47500]	Loss: 0.5448	LR: 0.020000
Training Epoch: 20 [30464/47500]	Loss: 0.4797	LR: 0.020000
Training Epoch: 20 [30720/47500]	Loss: 0.4490	LR: 0.020000
Training Epoch: 20 [30976/47500]	Loss: 0.5043	LR: 0.020000
Training Epoch: 20 [31232/47500]	Loss: 0.4562	LR: 0.020000
Training Epoch: 20 [31488/47500]	Loss: 0.5077	LR: 0.020000
Training Epoch: 20 [31744/47500]	Loss: 0.4461	LR: 0.020000
Training Epoch: 20 [32000/47500]	Loss: 0.5239	LR: 0.020000
Training Epoch: 20 [32256/47500]	Loss: 0.4444	LR: 0.020000
Training Epoch: 20 [32512/47500]	Loss: 0.5487	LR: 0.020000
Training Epoch: 20 [32768/47500]	Loss: 0.3934	LR: 0.020000
Training Epoch: 20 [33024/47500]	Loss: 0.3705	LR: 0.020000
Training Epoch: 20 [33280/47500]	Loss: 0.3811	LR: 0.020000
Training Epoch: 20 [33536/47500]	Loss: 0.4715	LR: 0.020000
Training Epoch: 20 [33792/47500]	Loss: 0.5170	LR: 0.020000
Training Epoch: 20 [34048/47500]	Loss: 0.4806	LR: 0.020000
Training Epoch: 20 [34304/47500]	Loss: 0.3910	LR: 0.020000
Training Epoch: 20 [34560/47500]	Loss: 0.4573	LR: 0.020000
Training Epoch: 20 [34816/47500]	Loss: 0.4968	LR: 0.020000
Training Epoch: 20 [35072/47500]	Loss: 0.4406	LR: 0.020000
Training Epoch: 20 [35328/47500]	Loss: 0.4191	LR: 0.020000
Training Epoch: 20 [35584/47500]	Loss: 0.5471	LR: 0.020000
Training Epoch: 20 [35840/47500]	Loss: 0.5000	LR: 0.020000
Training Epoch: 20 [36096/47500]	Loss: 0.5197	LR: 0.020000
Training Epoch: 20 [36352/47500]	Loss: 0.5233	LR: 0.020000
Training Epoch: 20 [36608/47500]	Loss: 0.4592	LR: 0.020000
Training Epoch: 20 [36864/47500]	Loss: 0.5020	LR: 0.020000
Training Epoch: 20 [37120/47500]	Loss: 0.4624	LR: 0.020000
Training Epoch: 20 [37376/47500]	Loss: 0.5469	LR: 0.020000
Training Epoch: 20 [37632/47500]	Loss: 0.4774	LR: 0.020000
Training Epoch: 20 [37888/47500]	Loss: 0.4248	LR: 0.020000
Training Epoch: 20 [38144/47500]	Loss: 0.4577	LR: 0.020000
Training Epoch: 20 [38400/47500]	Loss: 0.5302	LR: 0.020000
Training Epoch: 20 [38656/47500]	Loss: 0.4652	LR: 0.020000
Training Epoch: 20 [38912/47500]	Loss: 0.4670	LR: 0.020000
Training Epoch: 20 [39168/47500]	Loss: 0.4840	LR: 0.020000
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Training Epoch: 20 [40192/47500]	Loss: 0.3779	LR: 0.020000
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Training Epoch: 20 [40704/47500]	Loss: 0.5020	LR: 0.020000
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Training Epoch: 20 [41984/47500]	Loss: 0.3771	LR: 0.020000
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Training Epoch: 20 [43008/47500]	Loss: 0.4415	LR: 0.020000
Training Epoch: 20 [43264/47500]	Loss: 0.4516	LR: 0.020000
Training Epoch: 20 [43520/47500]	Loss: 0.3773	LR: 0.020000
Training Epoch: 20 [43776/47500]	Loss: 0.4514	LR: 0.020000
Training Epoch: 20 [44032/47500]	Loss: 0.5091	LR: 0.020000
Training Epoch: 20 [44288/47500]	Loss: 0.4743	LR: 0.020000
Training Epoch: 20 [44544/47500]	Loss: 0.4734	LR: 0.020000
Training Epoch: 20 [44800/47500]	Loss: 0.4552	LR: 0.020000
Training Epoch: 20 [45056/47500]	Loss: 0.5206	LR: 0.020000
Training Epoch: 20 [45312/47500]	Loss: 0.4645	LR: 0.020000
Training Epoch: 20 [45568/47500]	Loss: 0.3962	LR: 0.020000
Training Epoch: 20 [45824/47500]	Loss: 0.5092	LR: 0.020000
Training Epoch: 20 [46080/47500]	Loss: 0.5027	LR: 0.020000
Training Epoch: 20 [46336/47500]	Loss: 0.4572	LR: 0.020000
Training Epoch: 20 [46592/47500]	Loss: 0.5085	LR: 0.020000
Training Epoch: 20 [46848/47500]	Loss: 0.4793	LR: 0.020000
Training Epoch: 20 [47104/47500]	Loss: 0.5283	LR: 0.020000
Training Epoch: 20 [47360/47500]	Loss: 0.5135	LR: 0.020000
Training Epoch: 20 [47500/47500]	Loss: 0.4578	LR: 0.020000
Epoch 20 - Average Train Loss: 0.4628, Train Accuracy: 0.8469
Epoch 20 training time consumed: 28.54s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0029, Accuracy: 0.7743, Time consumed:0.90s
Training Epoch: 21 [256/47500]	Loss: 0.3726	LR: 0.020000
Training Epoch: 21 [512/47500]	Loss: 0.4714	LR: 0.020000
Training Epoch: 21 [768/47500]	Loss: 0.3760	LR: 0.020000
Training Epoch: 21 [1024/47500]	Loss: 0.5351	LR: 0.020000
Training Epoch: 21 [1280/47500]	Loss: 0.4299	LR: 0.020000
Training Epoch: 21 [1536/47500]	Loss: 0.4156	LR: 0.020000
Training Epoch: 21 [1792/47500]	Loss: 0.4512	LR: 0.020000
Training Epoch: 21 [2048/47500]	Loss: 0.4551	LR: 0.020000
Training Epoch: 21 [2304/47500]	Loss: 0.4540	LR: 0.020000
Training Epoch: 21 [2560/47500]	Loss: 0.4685	LR: 0.020000
Training Epoch: 21 [2816/47500]	Loss: 0.4022	LR: 0.020000
Training Epoch: 21 [3072/47500]	Loss: 0.5065	LR: 0.020000
Training Epoch: 21 [3328/47500]	Loss: 0.4595	LR: 0.020000
Training Epoch: 21 [3584/47500]	Loss: 0.3914	LR: 0.020000
Training Epoch: 21 [3840/47500]	Loss: 0.3886	LR: 0.020000
Training Epoch: 21 [4096/47500]	Loss: 0.5234	LR: 0.020000
Training Epoch: 21 [4352/47500]	Loss: 0.4201	LR: 0.020000
Training Epoch: 21 [4608/47500]	Loss: 0.3746	LR: 0.020000
Training Epoch: 21 [4864/47500]	Loss: 0.3432	LR: 0.020000
Training Epoch: 21 [5120/47500]	Loss: 0.4165	LR: 0.020000
Training Epoch: 21 [5376/47500]	Loss: 0.4157	LR: 0.020000
Training Epoch: 21 [5632/47500]	Loss: 0.3995	LR: 0.020000
Training Epoch: 21 [5888/47500]	Loss: 0.4454	LR: 0.020000
Training Epoch: 21 [6144/47500]	Loss: 0.3821	LR: 0.020000
Training Epoch: 21 [6400/47500]	Loss: 0.3437	LR: 0.020000
Training Epoch: 21 [6656/47500]	Loss: 0.4116	LR: 0.020000
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Training Epoch: 21 [7168/47500]	Loss: 0.3923	LR: 0.020000
Training Epoch: 21 [7424/47500]	Loss: 0.4036	LR: 0.020000
Training Epoch: 21 [7680/47500]	Loss: 0.4390	LR: 0.020000
Training Epoch: 21 [7936/47500]	Loss: 0.3224	LR: 0.020000
Training Epoch: 21 [8192/47500]	Loss: 0.3631	LR: 0.020000
Training Epoch: 21 [8448/47500]	Loss: 0.3217	LR: 0.020000
Training Epoch: 21 [8704/47500]	Loss: 0.3824	LR: 0.020000
Training Epoch: 21 [8960/47500]	Loss: 0.4683	LR: 0.020000
Training Epoch: 21 [9216/47500]	Loss: 0.4606	LR: 0.020000
Training Epoch: 21 [9472/47500]	Loss: 0.3826	LR: 0.020000
Training Epoch: 21 [9728/47500]	Loss: 0.5045	LR: 0.020000
Training Epoch: 21 [9984/47500]	Loss: 0.3915	LR: 0.020000
Training Epoch: 21 [10240/47500]	Loss: 0.4223	LR: 0.020000
Training Epoch: 21 [10496/47500]	Loss: 0.5448	LR: 0.020000
Training Epoch: 21 [10752/47500]	Loss: 0.4439	LR: 0.020000
Training Epoch: 21 [11008/47500]	Loss: 0.4031	LR: 0.020000
Training Epoch: 21 [11264/47500]	Loss: 0.4380	LR: 0.020000
Training Epoch: 21 [11520/47500]	Loss: 0.4563	LR: 0.020000
Training Epoch: 21 [11776/47500]	Loss: 0.4272	LR: 0.020000
Training Epoch: 21 [12032/47500]	Loss: 0.4468	LR: 0.020000
Training Epoch: 21 [12288/47500]	Loss: 0.3631	LR: 0.020000
Training Epoch: 21 [12544/47500]	Loss: 0.4105	LR: 0.020000
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Training Epoch: 21 [13312/47500]	Loss: 0.4879	LR: 0.020000
Training Epoch: 21 [13568/47500]	Loss: 0.4157	LR: 0.020000
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Training Epoch: 21 [14336/47500]	Loss: 0.4030	LR: 0.020000
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Training Epoch: 21 [15616/47500]	Loss: 0.4574	LR: 0.020000
Training Epoch: 21 [15872/47500]	Loss: 0.4843	LR: 0.020000
Training Epoch: 21 [16128/47500]	Loss: 0.4128	LR: 0.020000
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Training Epoch: 21 [16896/47500]	Loss: 0.3726	LR: 0.020000
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Training Epoch: 21 [39936/47500]	Loss: 0.5351	LR: 0.020000
Training Epoch: 21 [40192/47500]	Loss: 0.3980	LR: 0.020000
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Training Epoch: 21 [41728/47500]	Loss: 0.4773	LR: 0.020000
Training Epoch: 21 [41984/47500]	Loss: 0.4299	LR: 0.020000
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Training Epoch: 21 [42496/47500]	Loss: 0.4828	LR: 0.020000
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Training Epoch: 21 [43264/47500]	Loss: 0.3138	LR: 0.020000
Training Epoch: 21 [43520/47500]	Loss: 0.5341	LR: 0.020000
Training Epoch: 21 [43776/47500]	Loss: 0.5448	LR: 0.020000
Training Epoch: 21 [44032/47500]	Loss: 0.5178	LR: 0.020000
Training Epoch: 21 [44288/47500]	Loss: 0.5173	LR: 0.020000
Training Epoch: 21 [44544/47500]	Loss: 0.5403	LR: 0.020000
Training Epoch: 21 [44800/47500]	Loss: 0.3633	LR: 0.020000
Training Epoch: 21 [45056/47500]	Loss: 0.4448	LR: 0.020000
Training Epoch: 21 [45312/47500]	Loss: 0.4692	LR: 0.020000
Training Epoch: 21 [45568/47500]	Loss: 0.4858	LR: 0.020000
Training Epoch: 21 [45824/47500]	Loss: 0.5112	LR: 0.020000
Training Epoch: 21 [46080/47500]	Loss: 0.4910	LR: 0.020000
Training Epoch: 21 [46336/47500]	Loss: 0.4474	LR: 0.020000
Training Epoch: 21 [46592/47500]	Loss: 0.4921	LR: 0.020000
Training Epoch: 21 [46848/47500]	Loss: 0.4768	LR: 0.020000
Training Epoch: 21 [47104/47500]	Loss: 0.5197	LR: 0.020000
Training Epoch: 21 [47360/47500]	Loss: 0.4593	LR: 0.020000
Training Epoch: 21 [47500/47500]	Loss: 0.6481	LR: 0.020000
Epoch 21 - Average Train Loss: 0.4459, Train Accuracy: 0.8520
Epoch 21 training time consumed: 28.57s
Evaluating Network.....
Test set: Epoch: 21, Average loss: 0.0030, Accuracy: 0.7717, Time consumed:0.93s
Training Epoch: 22 [256/47500]	Loss: 0.4416	LR: 0.020000
Training Epoch: 22 [512/47500]	Loss: 0.2991	LR: 0.020000
Training Epoch: 22 [768/47500]	Loss: 0.3411	LR: 0.020000
Training Epoch: 22 [1024/47500]	Loss: 0.4224	LR: 0.020000
Training Epoch: 22 [1280/47500]	Loss: 0.4190	LR: 0.020000
Training Epoch: 22 [1536/47500]	Loss: 0.3897	LR: 0.020000
Training Epoch: 22 [1792/47500]	Loss: 0.4569	LR: 0.020000
Training Epoch: 22 [2048/47500]	Loss: 0.4021	LR: 0.020000
Training Epoch: 22 [2304/47500]	Loss: 0.3337	LR: 0.020000
Training Epoch: 22 [2560/47500]	Loss: 0.4593	LR: 0.020000
Training Epoch: 22 [2816/47500]	Loss: 0.4311	LR: 0.020000
Training Epoch: 22 [3072/47500]	Loss: 0.4219	LR: 0.020000
Training Epoch: 22 [3328/47500]	Loss: 0.3556	LR: 0.020000
Training Epoch: 22 [3584/47500]	Loss: 0.4928	LR: 0.020000
Training Epoch: 22 [3840/47500]	Loss: 0.3617	LR: 0.020000
Training Epoch: 22 [4096/47500]	Loss: 0.4413	LR: 0.020000
Training Epoch: 22 [4352/47500]	Loss: 0.3677	LR: 0.020000
Training Epoch: 22 [4608/47500]	Loss: 0.3620	LR: 0.020000
Training Epoch: 22 [4864/47500]	Loss: 0.3632	LR: 0.020000
Training Epoch: 22 [5120/47500]	Loss: 0.4411	LR: 0.020000
Training Epoch: 22 [5376/47500]	Loss: 0.4268	LR: 0.020000
Training Epoch: 22 [5632/47500]	Loss: 0.3533	LR: 0.020000
Training Epoch: 22 [5888/47500]	Loss: 0.4577	LR: 0.020000
Training Epoch: 22 [6144/47500]	Loss: 0.3792	LR: 0.020000
Training Epoch: 22 [6400/47500]	Loss: 0.3418	LR: 0.020000
Training Epoch: 22 [6656/47500]	Loss: 0.5926	LR: 0.020000
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Training Epoch: 22 [7168/47500]	Loss: 0.3571	LR: 0.020000
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Training Epoch: 22 [7680/47500]	Loss: 0.3299	LR: 0.020000
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Training Epoch: 22 [8192/47500]	Loss: 0.3563	LR: 0.020000
Training Epoch: 22 [8448/47500]	Loss: 0.4407	LR: 0.020000
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Training Epoch: 22 [10496/47500]	Loss: 0.3403	LR: 0.020000
Training Epoch: 22 [10752/47500]	Loss: 0.3837	LR: 0.020000
Training Epoch: 22 [11008/47500]	Loss: 0.4345	LR: 0.020000
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Training Epoch: 22 [13312/47500]	Loss: 0.3841	LR: 0.020000
Training Epoch: 22 [13568/47500]	Loss: 0.3107	LR: 0.020000
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Training Epoch: 22 [14080/47500]	Loss: 0.4480	LR: 0.020000
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Training Epoch: 22 [15104/47500]	Loss: 0.4363	LR: 0.020000
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Training Epoch: 22 [15616/47500]	Loss: 0.4391	LR: 0.020000
Training Epoch: 22 [15872/47500]	Loss: 0.4162	LR: 0.020000
Training Epoch: 22 [16128/47500]	Loss: 0.3803	LR: 0.020000
Training Epoch: 22 [16384/47500]	Loss: 0.4665	LR: 0.020000
Training Epoch: 22 [16640/47500]	Loss: 0.3453	LR: 0.020000
Training Epoch: 22 [16896/47500]	Loss: 0.3842	LR: 0.020000
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Training Epoch: 22 [20736/47500]	Loss: 0.3659	LR: 0.020000
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Training Epoch: 22 [22016/47500]	Loss: 0.3697	LR: 0.020000
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Training Epoch: 22 [22528/47500]	Loss: 0.4044	LR: 0.020000
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Training Epoch: 22 [28672/47500]	Loss: 0.3811	LR: 0.020000
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Training Epoch: 22 [29184/47500]	Loss: 0.3750	LR: 0.020000
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Training Epoch: 22 [31744/47500]	Loss: 0.4688	LR: 0.020000
Training Epoch: 22 [32000/47500]	Loss: 0.4373	LR: 0.020000
Training Epoch: 22 [32256/47500]	Loss: 0.4116	LR: 0.020000
Training Epoch: 22 [32512/47500]	Loss: 0.3898	LR: 0.020000
Training Epoch: 22 [32768/47500]	Loss: 0.5371	LR: 0.020000
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Training Epoch: 22 [35072/47500]	Loss: 0.3369	LR: 0.020000
Training Epoch: 22 [35328/47500]	Loss: 0.4837	LR: 0.020000
Training Epoch: 22 [35584/47500]	Loss: 0.4751	LR: 0.020000
Training Epoch: 22 [35840/47500]	Loss: 0.4199	LR: 0.020000
Training Epoch: 22 [36096/47500]	Loss: 0.4651	LR: 0.020000
Training Epoch: 22 [36352/47500]	Loss: 0.4122	LR: 0.020000
Training Epoch: 22 [36608/47500]	Loss: 0.4417	LR: 0.020000
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Training Epoch: 22 [37120/47500]	Loss: 0.4607	LR: 0.020000
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Training Epoch: 22 [37888/47500]	Loss: 0.3668	LR: 0.020000
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Training Epoch: 22 [39424/47500]	Loss: 0.5087	LR: 0.020000
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Training Epoch: 22 [41728/47500]	Loss: 0.4113	LR: 0.020000
Training Epoch: 22 [41984/47500]	Loss: 0.4642	LR: 0.020000
Training Epoch: 22 [42240/47500]	Loss: 0.4266	LR: 0.020000
Training Epoch: 22 [42496/47500]	Loss: 0.5444	LR: 0.020000
Training Epoch: 22 [42752/47500]	Loss: 0.4842	LR: 0.020000
Training Epoch: 22 [43008/47500]	Loss: 0.4678	LR: 0.020000
Training Epoch: 22 [43264/47500]	Loss: 0.4852	LR: 0.020000
Training Epoch: 22 [43520/47500]	Loss: 0.4289	LR: 0.020000
Training Epoch: 22 [43776/47500]	Loss: 0.4430	LR: 0.020000
Training Epoch: 22 [44032/47500]	Loss: 0.4038	LR: 0.020000
Training Epoch: 22 [44288/47500]	Loss: 0.5363	LR: 0.020000
Training Epoch: 22 [44544/47500]	Loss: 0.4767	LR: 0.020000
Training Epoch: 22 [44800/47500]	Loss: 0.3826	LR: 0.020000
Training Epoch: 22 [45056/47500]	Loss: 0.4620	LR: 0.020000
Training Epoch: 22 [45312/47500]	Loss: 0.3990	LR: 0.020000
Training Epoch: 22 [45568/47500]	Loss: 0.4030	LR: 0.020000
Training Epoch: 22 [45824/47500]	Loss: 0.4272	LR: 0.020000
Training Epoch: 22 [46080/47500]	Loss: 0.5064	LR: 0.020000
Training Epoch: 22 [46336/47500]	Loss: 0.5279	LR: 0.020000
Training Epoch: 22 [46592/47500]	Loss: 0.3290	LR: 0.020000
Training Epoch: 22 [46848/47500]	Loss: 0.5167	LR: 0.020000
Training Epoch: 22 [47104/47500]	Loss: 0.4921	LR: 0.020000
Training Epoch: 22 [47360/47500]	Loss: 0.4927	LR: 0.020000
Training Epoch: 22 [47500/47500]	Loss: 0.4700	LR: 0.020000
Epoch 22 - Average Train Loss: 0.4230, Train Accuracy: 0.8585
Epoch 22 training time consumed: 28.79s
Evaluating Network.....
Test set: Epoch: 22, Average loss: 0.0030, Accuracy: 0.7742, Time consumed:0.91s
Training Epoch: 23 [256/47500]	Loss: 0.3790	LR: 0.020000
Training Epoch: 23 [512/47500]	Loss: 0.4829	LR: 0.020000
Training Epoch: 23 [768/47500]	Loss: 0.4191	LR: 0.020000
Training Epoch: 23 [1024/47500]	Loss: 0.4654	LR: 0.020000
Training Epoch: 23 [1280/47500]	Loss: 0.2651	LR: 0.020000
Training Epoch: 23 [1536/47500]	Loss: 0.3594	LR: 0.020000
Training Epoch: 23 [1792/47500]	Loss: 0.4594	LR: 0.020000
Training Epoch: 23 [2048/47500]	Loss: 0.4246	LR: 0.020000
Training Epoch: 23 [2304/47500]	Loss: 0.3993	LR: 0.020000
Training Epoch: 23 [2560/47500]	Loss: 0.3587	LR: 0.020000
Training Epoch: 23 [2816/47500]	Loss: 0.3379	LR: 0.020000
Training Epoch: 23 [3072/47500]	Loss: 0.3587	LR: 0.020000
Training Epoch: 23 [3328/47500]	Loss: 0.4283	LR: 0.020000
Training Epoch: 23 [3584/47500]	Loss: 0.3343	LR: 0.020000
Training Epoch: 23 [3840/47500]	Loss: 0.3405	LR: 0.020000
Training Epoch: 23 [4096/47500]	Loss: 0.3400	LR: 0.020000
Training Epoch: 23 [4352/47500]	Loss: 0.5076	LR: 0.020000
Training Epoch: 23 [4608/47500]	Loss: 0.3848	LR: 0.020000
Training Epoch: 23 [4864/47500]	Loss: 0.4347	LR: 0.020000
Training Epoch: 23 [5120/47500]	Loss: 0.3049	LR: 0.020000
Training Epoch: 23 [5376/47500]	Loss: 0.4896	LR: 0.020000
Training Epoch: 23 [5632/47500]	Loss: 0.3386	LR: 0.020000
Training Epoch: 23 [5888/47500]	Loss: 0.4299	LR: 0.020000
Training Epoch: 23 [6144/47500]	Loss: 0.4224	LR: 0.020000
Training Epoch: 23 [6400/47500]	Loss: 0.3624	LR: 0.020000
Training Epoch: 23 [6656/47500]	Loss: 0.4453	LR: 0.020000
Training Epoch: 23 [6912/47500]	Loss: 0.4883	LR: 0.020000
Training Epoch: 23 [7168/47500]	Loss: 0.3207	LR: 0.020000
Training Epoch: 23 [7424/47500]	Loss: 0.3778	LR: 0.020000
Training Epoch: 23 [7680/47500]	Loss: 0.3324	LR: 0.020000
Training Epoch: 23 [7936/47500]	Loss: 0.3961	LR: 0.020000
Training Epoch: 23 [8192/47500]	Loss: 0.4240	LR: 0.020000
Training Epoch: 23 [8448/47500]	Loss: 0.4145	LR: 0.020000
Training Epoch: 23 [8704/47500]	Loss: 0.3548	LR: 0.020000
Training Epoch: 23 [8960/47500]	Loss: 0.3412	LR: 0.020000
Training Epoch: 23 [9216/47500]	Loss: 0.3809	LR: 0.020000
Training Epoch: 23 [9472/47500]	Loss: 0.4936	LR: 0.020000
Training Epoch: 23 [9728/47500]	Loss: 0.4113	LR: 0.020000
Training Epoch: 23 [9984/47500]	Loss: 0.3293	LR: 0.020000
Training Epoch: 23 [10240/47500]	Loss: 0.3695	LR: 0.020000
Training Epoch: 23 [10496/47500]	Loss: 0.4021	LR: 0.020000
Training Epoch: 23 [10752/47500]	Loss: 0.4093	LR: 0.020000
Training Epoch: 23 [11008/47500]	Loss: 0.4212	LR: 0.020000
Training Epoch: 23 [11264/47500]	Loss: 0.3099	LR: 0.020000
Training Epoch: 23 [11520/47500]	Loss: 0.3693	LR: 0.020000
Training Epoch: 23 [11776/47500]	Loss: 0.4519	LR: 0.020000
Training Epoch: 23 [12032/47500]	Loss: 0.3785	LR: 0.020000
Training Epoch: 23 [12288/47500]	Loss: 0.3270	LR: 0.020000
Training Epoch: 23 [12544/47500]	Loss: 0.3227	LR: 0.020000
Training Epoch: 23 [12800/47500]	Loss: 0.4404	LR: 0.020000
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Training Epoch: 23 [13568/47500]	Loss: 0.3828	LR: 0.020000
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Training Epoch: 23 [15616/47500]	Loss: 0.4472	LR: 0.020000
Training Epoch: 23 [15872/47500]	Loss: 0.3622	LR: 0.020000
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Training Epoch: 23 [16640/47500]	Loss: 0.4469	LR: 0.020000
Training Epoch: 23 [16896/47500]	Loss: 0.3533	LR: 0.020000
Training Epoch: 23 [17152/47500]	Loss: 0.3787	LR: 0.020000
Training Epoch: 23 [17408/47500]	Loss: 0.4099	LR: 0.020000
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Training Epoch: 23 [18176/47500]	Loss: 0.2892	LR: 0.020000
Training Epoch: 23 [18432/47500]	Loss: 0.3853	LR: 0.020000
Training Epoch: 23 [18688/47500]	Loss: 0.4185	LR: 0.020000
Training Epoch: 23 [18944/47500]	Loss: 0.4491	LR: 0.020000
Training Epoch: 23 [19200/47500]	Loss: 0.3760	LR: 0.020000
Training Epoch: 23 [19456/47500]	Loss: 0.3076	LR: 0.020000
Training Epoch: 23 [19712/47500]	Loss: 0.4122	LR: 0.020000
Training Epoch: 23 [19968/47500]	Loss: 0.4993	LR: 0.020000
Training Epoch: 23 [20224/47500]	Loss: 0.3984	LR: 0.020000
Training Epoch: 23 [20480/47500]	Loss: 0.5682	LR: 0.020000
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Training Epoch: 23 [21504/47500]	Loss: 0.4347	LR: 0.020000
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Training Epoch: 23 [22016/47500]	Loss: 0.3545	LR: 0.020000
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Training Epoch: 23 [22528/47500]	Loss: 0.3593	LR: 0.020000
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Training Epoch: 23 [25856/47500]	Loss: 0.4555	LR: 0.020000
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Training Epoch: 23 [37888/47500]	Loss: 0.3515	LR: 0.020000
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Training Epoch: 23 [38656/47500]	Loss: 0.3488	LR: 0.020000
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Training Epoch: 23 [39936/47500]	Loss: 0.3663	LR: 0.020000
Training Epoch: 23 [40192/47500]	Loss: 0.4915	LR: 0.020000
Training Epoch: 23 [40448/47500]	Loss: 0.4976	LR: 0.020000
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Training Epoch: 23 [42752/47500]	Loss: 0.4081	LR: 0.020000
Training Epoch: 23 [43008/47500]	Loss: 0.3626	LR: 0.020000
Training Epoch: 23 [43264/47500]	Loss: 0.4561	LR: 0.020000
Training Epoch: 23 [43520/47500]	Loss: 0.3568	LR: 0.020000
Training Epoch: 23 [43776/47500]	Loss: 0.3927	LR: 0.020000
Training Epoch: 23 [44032/47500]	Loss: 0.5598	LR: 0.020000
Training Epoch: 23 [44288/47500]	Loss: 0.3697	LR: 0.020000
Training Epoch: 23 [44544/47500]	Loss: 0.4307	LR: 0.020000
Training Epoch: 23 [44800/47500]	Loss: 0.3926	LR: 0.020000
Training Epoch: 23 [45056/47500]	Loss: 0.4082	LR: 0.020000
Training Epoch: 23 [45312/47500]	Loss: 0.4440	LR: 0.020000
Training Epoch: 23 [45568/47500]	Loss: 0.3521	LR: 0.020000
Training Epoch: 23 [45824/47500]	Loss: 0.4761	LR: 0.020000
Training Epoch: 23 [46080/47500]	Loss: 0.4597	LR: 0.020000
Training Epoch: 23 [46336/47500]	Loss: 0.4718	LR: 0.020000
Training Epoch: 23 [46592/47500]	Loss: 0.4065	LR: 0.020000
Training Epoch: 23 [46848/47500]	Loss: 0.4019	LR: 0.020000
Training Epoch: 23 [47104/47500]	Loss: 0.3494	LR: 0.020000
Training Epoch: 23 [47360/47500]	Loss: 0.4145	LR: 0.020000
Training Epoch: 23 [47500/47500]	Loss: 0.5237	LR: 0.020000
Epoch 23 - Average Train Loss: 0.4058, Train Accuracy: 0.8655
Epoch 23 training time consumed: 28.63s
Evaluating Network.....
Test set: Epoch: 23, Average loss: 0.0031, Accuracy: 0.7699, Time consumed:0.90s
Training Epoch: 24 [256/47500]	Loss: 0.3647	LR: 0.020000
Training Epoch: 24 [512/47500]	Loss: 0.3198	LR: 0.020000
Training Epoch: 24 [768/47500]	Loss: 0.4533	LR: 0.020000
Training Epoch: 24 [1024/47500]	Loss: 0.3090	LR: 0.020000
Training Epoch: 24 [1280/47500]	Loss: 0.3496	LR: 0.020000
Training Epoch: 24 [1536/47500]	Loss: 0.4256	LR: 0.020000
Training Epoch: 24 [1792/47500]	Loss: 0.3776	LR: 0.020000
Training Epoch: 24 [2048/47500]	Loss: 0.3395	LR: 0.020000
Training Epoch: 24 [2304/47500]	Loss: 0.3337	LR: 0.020000
Training Epoch: 24 [2560/47500]	Loss: 0.3099	LR: 0.020000
Training Epoch: 24 [2816/47500]	Loss: 0.4589	LR: 0.020000
Training Epoch: 24 [3072/47500]	Loss: 0.4006	LR: 0.020000
Training Epoch: 24 [3328/47500]	Loss: 0.3389	LR: 0.020000
Training Epoch: 24 [3584/47500]	Loss: 0.3740	LR: 0.020000
Training Epoch: 24 [3840/47500]	Loss: 0.4351	LR: 0.020000
Training Epoch: 24 [4096/47500]	Loss: 0.3440	LR: 0.020000
Training Epoch: 24 [4352/47500]	Loss: 0.3783	LR: 0.020000
Training Epoch: 24 [4608/47500]	Loss: 0.4285	LR: 0.020000
Training Epoch: 24 [4864/47500]	Loss: 0.3701	LR: 0.020000
Training Epoch: 24 [5120/47500]	Loss: 0.4238	LR: 0.020000
Training Epoch: 24 [5376/47500]	Loss: 0.3478	LR: 0.020000
Training Epoch: 24 [5632/47500]	Loss: 0.4213	LR: 0.020000
Training Epoch: 24 [5888/47500]	Loss: 0.3968	LR: 0.020000
Training Epoch: 24 [6144/47500]	Loss: 0.3487	LR: 0.020000
Training Epoch: 24 [6400/47500]	Loss: 0.2887	LR: 0.020000
Training Epoch: 24 [6656/47500]	Loss: 0.3701	LR: 0.020000
Training Epoch: 24 [6912/47500]	Loss: 0.3434	LR: 0.020000
Training Epoch: 24 [7168/47500]	Loss: 0.3193	LR: 0.020000
Training Epoch: 24 [7424/47500]	Loss: 0.3620	LR: 0.020000
Training Epoch: 24 [7680/47500]	Loss: 0.5071	LR: 0.020000
Training Epoch: 24 [7936/47500]	Loss: 0.3157	LR: 0.020000
Training Epoch: 24 [8192/47500]	Loss: 0.3454	LR: 0.020000
Training Epoch: 24 [8448/47500]	Loss: 0.2909	LR: 0.020000
Training Epoch: 24 [8704/47500]	Loss: 0.4164	LR: 0.020000
Training Epoch: 24 [8960/47500]	Loss: 0.4046	LR: 0.020000
Training Epoch: 24 [9216/47500]	Loss: 0.3808	LR: 0.020000
Training Epoch: 24 [9472/47500]	Loss: 0.4282	LR: 0.020000
Training Epoch: 24 [9728/47500]	Loss: 0.3801	LR: 0.020000
Training Epoch: 24 [9984/47500]	Loss: 0.3792	LR: 0.020000
Training Epoch: 24 [10240/47500]	Loss: 0.4359	LR: 0.020000
Training Epoch: 24 [10496/47500]	Loss: 0.3494	LR: 0.020000
Training Epoch: 24 [10752/47500]	Loss: 0.3991	LR: 0.020000
Training Epoch: 24 [11008/47500]	Loss: 0.4203	LR: 0.020000
Training Epoch: 24 [11264/47500]	Loss: 0.4347	LR: 0.020000
Training Epoch: 24 [11520/47500]	Loss: 0.3625	LR: 0.020000
Training Epoch: 24 [11776/47500]	Loss: 0.4124	LR: 0.020000
Training Epoch: 24 [12032/47500]	Loss: 0.3250	LR: 0.020000
Training Epoch: 24 [12288/47500]	Loss: 0.3977	LR: 0.020000
Training Epoch: 24 [12544/47500]	Loss: 0.3187	LR: 0.020000
Training Epoch: 24 [12800/47500]	Loss: 0.3900	LR: 0.020000
Training Epoch: 24 [13056/47500]	Loss: 0.4852	LR: 0.020000
Training Epoch: 24 [13312/47500]	Loss: 0.3671	LR: 0.020000
Training Epoch: 24 [13568/47500]	Loss: 0.3983	LR: 0.020000
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Training Epoch: 24 [14080/47500]	Loss: 0.4316	LR: 0.020000
Training Epoch: 24 [14336/47500]	Loss: 0.5227	LR: 0.020000
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Training Epoch: 24 [15360/47500]	Loss: 0.4284	LR: 0.020000
Training Epoch: 24 [15616/47500]	Loss: 0.4149	LR: 0.020000
Training Epoch: 24 [15872/47500]	Loss: 0.3782	LR: 0.020000
Training Epoch: 24 [16128/47500]	Loss: 0.3963	LR: 0.020000
Training Epoch: 24 [16384/47500]	Loss: 0.3818	LR: 0.020000
Training Epoch: 24 [16640/47500]	Loss: 0.4362	LR: 0.020000
Training Epoch: 24 [16896/47500]	Loss: 0.3567	LR: 0.020000
Training Epoch: 24 [17152/47500]	Loss: 0.4157	LR: 0.020000
Training Epoch: 24 [17408/47500]	Loss: 0.4172	LR: 0.020000
Training Epoch: 24 [17664/47500]	Loss: 0.4485	LR: 0.020000
Training Epoch: 24 [17920/47500]	Loss: 0.4207	LR: 0.020000
Training Epoch: 24 [18176/47500]	Loss: 0.2907	LR: 0.020000
Training Epoch: 24 [18432/47500]	Loss: 0.4151	LR: 0.020000
Training Epoch: 24 [18688/47500]	Loss: 0.4769	LR: 0.020000
Training Epoch: 24 [18944/47500]	Loss: 0.4241	LR: 0.020000
Training Epoch: 24 [19200/47500]	Loss: 0.4743	LR: 0.020000
Training Epoch: 24 [19456/47500]	Loss: 0.4517	LR: 0.020000
Training Epoch: 24 [19712/47500]	Loss: 0.3349	LR: 0.020000
Training Epoch: 24 [19968/47500]	Loss: 0.3893	LR: 0.020000
Training Epoch: 24 [20224/47500]	Loss: 0.4690	LR: 0.020000
Training Epoch: 24 [20480/47500]	Loss: 0.4173	LR: 0.020000
Training Epoch: 24 [20736/47500]	Loss: 0.3446	LR: 0.020000
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Training Epoch: 24 [22016/47500]	Loss: 0.3938	LR: 0.020000
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Training Epoch: 24 [22528/47500]	Loss: 0.4699	LR: 0.020000
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Training Epoch: 24 [23040/47500]	Loss: 0.5034	LR: 0.020000
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Training Epoch: 24 [40704/47500]	Loss: 0.3208	LR: 0.020000
Training Epoch: 24 [40960/47500]	Loss: 0.3641	LR: 0.020000
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Training Epoch: 24 [41728/47500]	Loss: 0.4684	LR: 0.020000
Training Epoch: 24 [41984/47500]	Loss: 0.3671	LR: 0.020000
Training Epoch: 24 [42240/47500]	Loss: 0.4042	LR: 0.020000
Training Epoch: 24 [42496/47500]	Loss: 0.3766	LR: 0.020000
Training Epoch: 24 [42752/47500]	Loss: 0.4283	LR: 0.020000
Training Epoch: 24 [43008/47500]	Loss: 0.3485	LR: 0.020000
Training Epoch: 24 [43264/47500]	Loss: 0.3694	LR: 0.020000
Training Epoch: 24 [43520/47500]	Loss: 0.4135	LR: 0.020000
Training Epoch: 24 [43776/47500]	Loss: 0.4502	LR: 0.020000
Training Epoch: 24 [44032/47500]	Loss: 0.3914	LR: 0.020000
Training Epoch: 24 [44288/47500]	Loss: 0.4111	LR: 0.020000
Training Epoch: 24 [44544/47500]	Loss: 0.3842	LR: 0.020000
Training Epoch: 24 [44800/47500]	Loss: 0.4630	LR: 0.020000
Training Epoch: 24 [45056/47500]	Loss: 0.3374	LR: 0.020000
Training Epoch: 24 [45312/47500]	Loss: 0.4060	LR: 0.020000
Training Epoch: 24 [45568/47500]	Loss: 0.4111	LR: 0.020000
Training Epoch: 24 [45824/47500]	Loss: 0.4118	LR: 0.020000
Training Epoch: 24 [46080/47500]	Loss: 0.3626	LR: 0.020000
Training Epoch: 24 [46336/47500]	Loss: 0.4113	LR: 0.020000
Training Epoch: 24 [46592/47500]	Loss: 0.3534	LR: 0.020000
Training Epoch: 24 [46848/47500]	Loss: 0.3903	LR: 0.020000
Training Epoch: 24 [47104/47500]	Loss: 0.3626	LR: 0.020000
Training Epoch: 24 [47360/47500]	Loss: 0.3799	LR: 0.020000
Training Epoch: 24 [47500/47500]	Loss: 0.4529	LR: 0.020000
Epoch 24 - Average Train Loss: 0.4000, Train Accuracy: 0.8658
Epoch 24 training time consumed: 28.56s
Evaluating Network.....
Test set: Epoch: 24, Average loss: 0.0030, Accuracy: 0.7778, Time consumed:0.89s
Training Epoch: 25 [256/47500]	Loss: 0.3437	LR: 0.020000
Training Epoch: 25 [512/47500]	Loss: 0.3517	LR: 0.020000
Training Epoch: 25 [768/47500]	Loss: 0.3751	LR: 0.020000
Training Epoch: 25 [1024/47500]	Loss: 0.3086	LR: 0.020000
Training Epoch: 25 [1280/47500]	Loss: 0.3614	LR: 0.020000
Training Epoch: 25 [1536/47500]	Loss: 0.3081	LR: 0.020000
Training Epoch: 25 [1792/47500]	Loss: 0.3242	LR: 0.020000
Training Epoch: 25 [2048/47500]	Loss: 0.3523	LR: 0.020000
Training Epoch: 25 [2304/47500]	Loss: 0.4305	LR: 0.020000
Training Epoch: 25 [2560/47500]	Loss: 0.3045	LR: 0.020000
Training Epoch: 25 [2816/47500]	Loss: 0.3401	LR: 0.020000
Training Epoch: 25 [3072/47500]	Loss: 0.3528	LR: 0.020000
Training Epoch: 25 [3328/47500]	Loss: 0.3834	LR: 0.020000
Training Epoch: 25 [3584/47500]	Loss: 0.2919	LR: 0.020000
Training Epoch: 25 [3840/47500]	Loss: 0.3610	LR: 0.020000
Training Epoch: 25 [4096/47500]	Loss: 0.2516	LR: 0.020000
Training Epoch: 25 [4352/47500]	Loss: 0.3811	LR: 0.020000
Training Epoch: 25 [4608/47500]	Loss: 0.3376	LR: 0.020000
Training Epoch: 25 [4864/47500]	Loss: 0.2898	LR: 0.020000
Training Epoch: 25 [5120/47500]	Loss: 0.3069	LR: 0.020000
Training Epoch: 25 [5376/47500]	Loss: 0.3339	LR: 0.020000
Training Epoch: 25 [5632/47500]	Loss: 0.3559	LR: 0.020000
Training Epoch: 25 [5888/47500]	Loss: 0.3360	LR: 0.020000
Training Epoch: 25 [6144/47500]	Loss: 0.2705	LR: 0.020000
Training Epoch: 25 [6400/47500]	Loss: 0.3961	LR: 0.020000
Training Epoch: 25 [6656/47500]	Loss: 0.4438	LR: 0.020000
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Training Epoch: 25 [7168/47500]	Loss: 0.4054	LR: 0.020000
Training Epoch: 25 [7424/47500]	Loss: 0.3686	LR: 0.020000
Training Epoch: 25 [7680/47500]	Loss: 0.2948	LR: 0.020000
Training Epoch: 25 [7936/47500]	Loss: 0.3325	LR: 0.020000
Training Epoch: 25 [8192/47500]	Loss: 0.4160	LR: 0.020000
Training Epoch: 25 [8448/47500]	Loss: 0.2968	LR: 0.020000
Training Epoch: 25 [8704/47500]	Loss: 0.3754	LR: 0.020000
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Training Epoch: 25 [10496/47500]	Loss: 0.4474	LR: 0.020000
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Training Epoch: 25 [11008/47500]	Loss: 0.3505	LR: 0.020000
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Training Epoch: 25 [14080/47500]	Loss: 0.3513	LR: 0.020000
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Training Epoch: 25 [15104/47500]	Loss: 0.3955	LR: 0.020000
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Training Epoch: 25 [15616/47500]	Loss: 0.3421	LR: 0.020000
Training Epoch: 25 [15872/47500]	Loss: 0.3081	LR: 0.020000
Training Epoch: 25 [16128/47500]	Loss: 0.4340	LR: 0.020000
Training Epoch: 25 [16384/47500]	Loss: 0.3138	LR: 0.020000
Training Epoch: 25 [16640/47500]	Loss: 0.4813	LR: 0.020000
Training Epoch: 25 [16896/47500]	Loss: 0.4946	LR: 0.020000
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Training Epoch: 25 [18176/47500]	Loss: 0.4141	LR: 0.020000
Training Epoch: 25 [18432/47500]	Loss: 0.2933	LR: 0.020000
Training Epoch: 25 [18688/47500]	Loss: 0.4631	LR: 0.020000
Training Epoch: 25 [18944/47500]	Loss: 0.3334	LR: 0.020000
Training Epoch: 25 [19200/47500]	Loss: 0.3095	LR: 0.020000
Training Epoch: 25 [19456/47500]	Loss: 0.3641	LR: 0.020000
Training Epoch: 25 [19712/47500]	Loss: 0.4397	LR: 0.020000
Training Epoch: 25 [19968/47500]	Loss: 0.4555	LR: 0.020000
Training Epoch: 25 [20224/47500]	Loss: 0.3834	LR: 0.020000
Training Epoch: 25 [20480/47500]	Loss: 0.3511	LR: 0.020000
Training Epoch: 25 [20736/47500]	Loss: 0.4441	LR: 0.020000
Training Epoch: 25 [20992/47500]	Loss: 0.3288	LR: 0.020000
Training Epoch: 25 [21248/47500]	Loss: 0.3444	LR: 0.020000
Training Epoch: 25 [21504/47500]	Loss: 0.4570	LR: 0.020000
Training Epoch: 25 [21760/47500]	Loss: 0.3961	LR: 0.020000
Training Epoch: 25 [22016/47500]	Loss: 0.3832	LR: 0.020000
Training Epoch: 25 [22272/47500]	Loss: 0.3571	LR: 0.020000
Training Epoch: 25 [22528/47500]	Loss: 0.3410	LR: 0.020000
Training Epoch: 25 [22784/47500]	Loss: 0.4017	LR: 0.020000
Training Epoch: 25 [23040/47500]	Loss: 0.3283	LR: 0.020000
Training Epoch: 25 [23296/47500]	Loss: 0.3547	LR: 0.020000
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Training Epoch: 25 [23808/47500]	Loss: 0.3657	LR: 0.020000
Training Epoch: 25 [24064/47500]	Loss: 0.3296	LR: 0.020000
Training Epoch: 25 [24320/47500]	Loss: 0.3498	LR: 0.020000
Training Epoch: 25 [24576/47500]	Loss: 0.3600	LR: 0.020000
Training Epoch: 25 [24832/47500]	Loss: 0.3885	LR: 0.020000
Training Epoch: 25 [25088/47500]	Loss: 0.3359	LR: 0.020000
Training Epoch: 25 [25344/47500]	Loss: 0.4618	LR: 0.020000
Training Epoch: 25 [25600/47500]	Loss: 0.3972	LR: 0.020000
Training Epoch: 25 [25856/47500]	Loss: 0.3256	LR: 0.020000
Training Epoch: 25 [26112/47500]	Loss: 0.4140	LR: 0.020000
Training Epoch: 25 [26368/47500]	Loss: 0.2542	LR: 0.020000
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Training Epoch: 25 [27136/47500]	Loss: 0.3793	LR: 0.020000
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Training Epoch: 25 [27648/47500]	Loss: 0.4201	LR: 0.020000
Training Epoch: 25 [27904/47500]	Loss: 0.3362	LR: 0.020000
Training Epoch: 25 [28160/47500]	Loss: 0.3236	LR: 0.020000
Training Epoch: 25 [28416/47500]	Loss: 0.4342	LR: 0.020000
Training Epoch: 25 [28672/47500]	Loss: 0.3506	LR: 0.020000
Training Epoch: 25 [28928/47500]	Loss: 0.3576	LR: 0.020000
Training Epoch: 25 [29184/47500]	Loss: 0.4135	LR: 0.020000
Training Epoch: 25 [29440/47500]	Loss: 0.4384	LR: 0.020000
Training Epoch: 25 [29696/47500]	Loss: 0.3788	LR: 0.020000
Training Epoch: 25 [29952/47500]	Loss: 0.3971	LR: 0.020000
Training Epoch: 25 [30208/47500]	Loss: 0.3401	LR: 0.020000
Training Epoch: 25 [30464/47500]	Loss: 0.4562	LR: 0.020000
Training Epoch: 25 [30720/47500]	Loss: 0.3977	LR: 0.020000
Training Epoch: 25 [30976/47500]	Loss: 0.4598	LR: 0.020000
Training Epoch: 25 [31232/47500]	Loss: 0.3487	LR: 0.020000
Training Epoch: 25 [31488/47500]	Loss: 0.3643	LR: 0.020000
Training Epoch: 25 [31744/47500]	Loss: 0.3462	LR: 0.020000
Training Epoch: 25 [32000/47500]	Loss: 0.3242	LR: 0.020000
Training Epoch: 25 [32256/47500]	Loss: 0.3122	LR: 0.020000
Training Epoch: 25 [32512/47500]	Loss: 0.4810	LR: 0.020000
Training Epoch: 25 [32768/47500]	Loss: 0.4667	LR: 0.020000
Training Epoch: 25 [33024/47500]	Loss: 0.4502	LR: 0.020000
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Training Epoch: 25 [34816/47500]	Loss: 0.4024	LR: 0.020000
Training Epoch: 25 [35072/47500]	Loss: 0.4045	LR: 0.020000
Training Epoch: 25 [35328/47500]	Loss: 0.4180	LR: 0.020000
Training Epoch: 25 [35584/47500]	Loss: 0.3948	LR: 0.020000
Training Epoch: 25 [35840/47500]	Loss: 0.4250	LR: 0.020000
Training Epoch: 25 [36096/47500]	Loss: 0.3586	LR: 0.020000
Training Epoch: 25 [36352/47500]	Loss: 0.3743	LR: 0.020000
Training Epoch: 25 [36608/47500]	Loss: 0.3718	LR: 0.020000
Training Epoch: 25 [36864/47500]	Loss: 0.3328	LR: 0.020000
Training Epoch: 25 [37120/47500]	Loss: 0.3501	LR: 0.020000
Training Epoch: 25 [37376/47500]	Loss: 0.2889	LR: 0.020000
Training Epoch: 25 [37632/47500]	Loss: 0.3806	LR: 0.020000
Training Epoch: 25 [37888/47500]	Loss: 0.3367	LR: 0.020000
Training Epoch: 25 [38144/47500]	Loss: 0.3972	LR: 0.020000
Training Epoch: 25 [38400/47500]	Loss: 0.3284	LR: 0.020000
Training Epoch: 25 [38656/47500]	Loss: 0.3977	LR: 0.020000
Training Epoch: 25 [38912/47500]	Loss: 0.4008	LR: 0.020000
Training Epoch: 25 [39168/47500]	Loss: 0.2918	LR: 0.020000
Training Epoch: 25 [39424/47500]	Loss: 0.4531	LR: 0.020000
Training Epoch: 25 [39680/47500]	Loss: 0.3119	LR: 0.020000
Training Epoch: 25 [39936/47500]	Loss: 0.4828	LR: 0.020000
Training Epoch: 25 [40192/47500]	Loss: 0.3630	LR: 0.020000
Training Epoch: 25 [40448/47500]	Loss: 0.4361	LR: 0.020000
Training Epoch: 25 [40704/47500]	Loss: 0.3771	LR: 0.020000
Training Epoch: 25 [40960/47500]	Loss: 0.3595	LR: 0.020000
Training Epoch: 25 [41216/47500]	Loss: 0.3928	LR: 0.020000
Training Epoch: 25 [41472/47500]	Loss: 0.4047	LR: 0.020000
Training Epoch: 25 [41728/47500]	Loss: 0.4239	LR: 0.020000
Training Epoch: 25 [41984/47500]	Loss: 0.4173	LR: 0.020000
Training Epoch: 25 [42240/47500]	Loss: 0.3434	LR: 0.020000
Training Epoch: 25 [42496/47500]	Loss: 0.3885	LR: 0.020000
Training Epoch: 25 [42752/47500]	Loss: 0.4793	LR: 0.020000
Training Epoch: 25 [43008/47500]	Loss: 0.4415	LR: 0.020000
Training Epoch: 25 [43264/47500]	Loss: 0.4442	LR: 0.020000
Training Epoch: 25 [43520/47500]	Loss: 0.4237	LR: 0.020000
Training Epoch: 25 [43776/47500]	Loss: 0.4164	LR: 0.020000
Training Epoch: 25 [44032/47500]	Loss: 0.3698	LR: 0.020000
Training Epoch: 25 [44288/47500]	Loss: 0.4469	LR: 0.020000
Training Epoch: 25 [44544/47500]	Loss: 0.3741	LR: 0.020000
Training Epoch: 25 [44800/47500]	Loss: 0.5205	LR: 0.020000
Training Epoch: 25 [45056/47500]	Loss: 0.3891	LR: 0.020000
Training Epoch: 25 [45312/47500]	Loss: 0.3954	LR: 0.020000
Training Epoch: 25 [45568/47500]	Loss: 0.4382	LR: 0.020000
Training Epoch: 25 [45824/47500]	Loss: 0.3672	LR: 0.020000
Training Epoch: 25 [46080/47500]	Loss: 0.4553	LR: 0.020000
Training Epoch: 25 [46336/47500]	Loss: 0.4513	LR: 0.020000
Training Epoch: 25 [46592/47500]	Loss: 0.4031	LR: 0.020000
Training Epoch: 25 [46848/47500]	Loss: 0.3908	LR: 0.020000
Training Epoch: 25 [47104/47500]	Loss: 0.4241	LR: 0.020000
Training Epoch: 25 [47360/47500]	Loss: 0.3209	LR: 0.020000
Training Epoch: 25 [47500/47500]	Loss: 0.5153	LR: 0.020000
Epoch 25 - Average Train Loss: 0.3795, Train Accuracy: 0.8721
Epoch 25 training time consumed: 28.55s
Evaluating Network.....
Test set: Epoch: 25, Average loss: 0.0033, Accuracy: 0.7618, Time consumed:0.90s
Training Epoch: 26 [256/47500]	Loss: 0.3111	LR: 0.020000
Training Epoch: 26 [512/47500]	Loss: 0.3379	LR: 0.020000
Training Epoch: 26 [768/47500]	Loss: 0.3725	LR: 0.020000
Training Epoch: 26 [1024/47500]	Loss: 0.3024	LR: 0.020000
Training Epoch: 26 [1280/47500]	Loss: 0.5049	LR: 0.020000
Training Epoch: 26 [1536/47500]	Loss: 0.3597	LR: 0.020000
Training Epoch: 26 [1792/47500]	Loss: 0.3145	LR: 0.020000
Training Epoch: 26 [2048/47500]	Loss: 0.3745	LR: 0.020000
Training Epoch: 26 [2304/47500]	Loss: 0.3562	LR: 0.020000
Training Epoch: 26 [2560/47500]	Loss: 0.3456	LR: 0.020000
Training Epoch: 26 [2816/47500]	Loss: 0.3239	LR: 0.020000
Training Epoch: 26 [3072/47500]	Loss: 0.4084	LR: 0.020000
Training Epoch: 26 [3328/47500]	Loss: 0.4080	LR: 0.020000
Training Epoch: 26 [3584/47500]	Loss: 0.3234	LR: 0.020000
Training Epoch: 26 [3840/47500]	Loss: 0.3081	LR: 0.020000
Training Epoch: 26 [4096/47500]	Loss: 0.4040	LR: 0.020000
Training Epoch: 26 [4352/47500]	Loss: 0.3291	LR: 0.020000
Training Epoch: 26 [4608/47500]	Loss: 0.4422	LR: 0.020000
Training Epoch: 26 [4864/47500]	Loss: 0.3124	LR: 0.020000
Training Epoch: 26 [5120/47500]	Loss: 0.3849	LR: 0.020000
Training Epoch: 26 [5376/47500]	Loss: 0.3335	LR: 0.020000
Training Epoch: 26 [5632/47500]	Loss: 0.3347	LR: 0.020000
Training Epoch: 26 [5888/47500]	Loss: 0.3225	LR: 0.020000
Training Epoch: 26 [6144/47500]	Loss: 0.2944	LR: 0.020000
Training Epoch: 26 [6400/47500]	Loss: 0.3929	LR: 0.020000
Training Epoch: 26 [6656/47500]	Loss: 0.3751	LR: 0.020000
Training Epoch: 26 [6912/47500]	Loss: 0.3587	LR: 0.020000
Training Epoch: 26 [7168/47500]	Loss: 0.2734	LR: 0.020000
Training Epoch: 26 [7424/47500]	Loss: 0.3662	LR: 0.020000
Training Epoch: 26 [7680/47500]	Loss: 0.3143	LR: 0.020000
Training Epoch: 26 [7936/47500]	Loss: 0.3376	LR: 0.020000
Training Epoch: 26 [8192/47500]	Loss: 0.3086	LR: 0.020000
Training Epoch: 26 [8448/47500]	Loss: 0.3262	LR: 0.020000
Training Epoch: 26 [8704/47500]	Loss: 0.3870	LR: 0.020000
Training Epoch: 26 [8960/47500]	Loss: 0.2673	LR: 0.020000
Training Epoch: 26 [9216/47500]	Loss: 0.3584	LR: 0.020000
Training Epoch: 26 [9472/47500]	Loss: 0.4075	LR: 0.020000
Training Epoch: 26 [9728/47500]	Loss: 0.3609	LR: 0.020000
Training Epoch: 26 [9984/47500]	Loss: 0.3073	LR: 0.020000
Training Epoch: 26 [10240/47500]	Loss: 0.4579	LR: 0.020000
Training Epoch: 26 [10496/47500]	Loss: 0.3139	LR: 0.020000
Training Epoch: 26 [10752/47500]	Loss: 0.2904	LR: 0.020000
Training Epoch: 26 [11008/47500]	Loss: 0.2740	LR: 0.020000
Training Epoch: 26 [11264/47500]	Loss: 0.4445	LR: 0.020000
Training Epoch: 26 [11520/47500]	Loss: 0.4094	LR: 0.020000
Training Epoch: 26 [11776/47500]	Loss: 0.3093	LR: 0.020000
Training Epoch: 26 [12032/47500]	Loss: 0.3741	LR: 0.020000
Training Epoch: 26 [12288/47500]	Loss: 0.3977	LR: 0.020000
Training Epoch: 26 [12544/47500]	Loss: 0.2663	LR: 0.020000
Training Epoch: 26 [12800/47500]	Loss: 0.3456	LR: 0.020000
Training Epoch: 26 [13056/47500]	Loss: 0.2917	LR: 0.020000
Training Epoch: 26 [13312/47500]	Loss: 0.3720	LR: 0.020000
Training Epoch: 26 [13568/47500]	Loss: 0.3804	LR: 0.020000
Training Epoch: 26 [13824/47500]	Loss: 0.3517	LR: 0.020000
Training Epoch: 26 [14080/47500]	Loss: 0.3798	LR: 0.020000
Training Epoch: 26 [14336/47500]	Loss: 0.2558	LR: 0.020000
Training Epoch: 26 [14592/47500]	Loss: 0.3701	LR: 0.020000
Training Epoch: 26 [14848/47500]	Loss: 0.2954	LR: 0.020000
Training Epoch: 26 [15104/47500]	Loss: 0.3326	LR: 0.020000
Training Epoch: 26 [15360/47500]	Loss: 0.2893	LR: 0.020000
Training Epoch: 26 [15616/47500]	Loss: 0.2629	LR: 0.020000
Training Epoch: 26 [15872/47500]	Loss: 0.3437	LR: 0.020000
Training Epoch: 26 [16128/47500]	Loss: 0.3684	LR: 0.020000
Training Epoch: 26 [16384/47500]	Loss: 0.3560	LR: 0.020000
Training Epoch: 26 [16640/47500]	Loss: 0.3459	LR: 0.020000
Training Epoch: 26 [16896/47500]	Loss: 0.3897	LR: 0.020000
Training Epoch: 26 [17152/47500]	Loss: 0.4233	LR: 0.020000
Training Epoch: 26 [17408/47500]	Loss: 0.2927	LR: 0.020000
Training Epoch: 26 [17664/47500]	Loss: 0.3819	LR: 0.020000
Training Epoch: 26 [17920/47500]	Loss: 0.3323	LR: 0.020000
Training Epoch: 26 [18176/47500]	Loss: 0.3356	LR: 0.020000
Training Epoch: 26 [18432/47500]	Loss: 0.3635	LR: 0.020000
Training Epoch: 26 [18688/47500]	Loss: 0.2642	LR: 0.020000
Training Epoch: 26 [18944/47500]	Loss: 0.4220	LR: 0.020000
Training Epoch: 26 [19200/47500]	Loss: 0.3525	LR: 0.020000
Training Epoch: 26 [19456/47500]	Loss: 0.3381	LR: 0.020000
Training Epoch: 26 [19712/47500]	Loss: 0.3554	LR: 0.020000
Training Epoch: 26 [19968/47500]	Loss: 0.2858	LR: 0.020000
Training Epoch: 26 [20224/47500]	Loss: 0.2851	LR: 0.020000
Training Epoch: 26 [20480/47500]	Loss: 0.3257	LR: 0.020000
Training Epoch: 26 [20736/47500]	Loss: 0.3348	LR: 0.020000
Training Epoch: 26 [20992/47500]	Loss: 0.4337	LR: 0.020000
Training Epoch: 26 [21248/47500]	Loss: 0.3886	LR: 0.020000
Training Epoch: 26 [21504/47500]	Loss: 0.3337	LR: 0.020000
Training Epoch: 26 [21760/47500]	Loss: 0.3760	LR: 0.020000
Training Epoch: 26 [22016/47500]	Loss: 0.3470	LR: 0.020000
Training Epoch: 26 [22272/47500]	Loss: 0.3984	LR: 0.020000
Training Epoch: 26 [22528/47500]	Loss: 0.4313	LR: 0.020000
Training Epoch: 26 [22784/47500]	Loss: 0.3995	LR: 0.020000
Training Epoch: 26 [23040/47500]	Loss: 0.3852	LR: 0.020000
Training Epoch: 26 [23296/47500]	Loss: 0.4265	LR: 0.020000
Training Epoch: 26 [23552/47500]	Loss: 0.5165	LR: 0.020000
Training Epoch: 26 [23808/47500]	Loss: 0.3345	LR: 0.020000
Training Epoch: 26 [24064/47500]	Loss: 0.4239	LR: 0.020000
Training Epoch: 26 [24320/47500]	Loss: 0.4374	LR: 0.020000
Training Epoch: 26 [24576/47500]	Loss: 0.3906	LR: 0.020000
Training Epoch: 26 [24832/47500]	Loss: 0.3490	LR: 0.020000
Training Epoch: 26 [25088/47500]	Loss: 0.2931	LR: 0.020000
Training Epoch: 26 [25344/47500]	Loss: 0.3272	LR: 0.020000
Training Epoch: 26 [25600/47500]	Loss: 0.3452	LR: 0.020000
Training Epoch: 26 [25856/47500]	Loss: 0.3185	LR: 0.020000
Training Epoch: 26 [26112/47500]	Loss: 0.4078	LR: 0.020000
Training Epoch: 26 [26368/47500]	Loss: 0.3516	LR: 0.020000
Training Epoch: 26 [26624/47500]	Loss: 0.3316	LR: 0.020000
Training Epoch: 26 [26880/47500]	Loss: 0.4749	LR: 0.020000
Training Epoch: 26 [27136/47500]	Loss: 0.3575	LR: 0.020000
Training Epoch: 26 [27392/47500]	Loss: 0.3382	LR: 0.020000
Training Epoch: 26 [27648/47500]	Loss: 0.3645	LR: 0.020000
Training Epoch: 26 [27904/47500]	Loss: 0.3585	LR: 0.020000
Training Epoch: 26 [28160/47500]	Loss: 0.3934	LR: 0.020000
Training Epoch: 26 [28416/47500]	Loss: 0.3507	LR: 0.020000
Training Epoch: 26 [28672/47500]	Loss: 0.4961	LR: 0.020000
Training Epoch: 26 [28928/47500]	Loss: 0.4450	LR: 0.020000
Training Epoch: 26 [29184/47500]	Loss: 0.3710	LR: 0.020000
Training Epoch: 26 [29440/47500]	Loss: 0.3792	LR: 0.020000
Training Epoch: 26 [29696/47500]	Loss: 0.3859	LR: 0.020000
Training Epoch: 26 [29952/47500]	Loss: 0.4736	LR: 0.020000
Training Epoch: 26 [30208/47500]	Loss: 0.3795	LR: 0.020000
Training Epoch: 26 [30464/47500]	Loss: 0.4032	LR: 0.020000
Training Epoch: 26 [30720/47500]	Loss: 0.3685	LR: 0.020000
Training Epoch: 26 [30976/47500]	Loss: 0.3623	LR: 0.020000
Training Epoch: 26 [31232/47500]	Loss: 0.2998	LR: 0.020000
Training Epoch: 26 [31488/47500]	Loss: 0.4133	LR: 0.020000
Training Epoch: 26 [31744/47500]	Loss: 0.3984	LR: 0.020000
Training Epoch: 26 [32000/47500]	Loss: 0.3707	LR: 0.020000
Training Epoch: 26 [32256/47500]	Loss: 0.4172	LR: 0.020000
Training Epoch: 26 [32512/47500]	Loss: 0.3219	LR: 0.020000
Training Epoch: 26 [32768/47500]	Loss: 0.4453	LR: 0.020000
Training Epoch: 26 [33024/47500]	Loss: 0.3991	LR: 0.020000
Training Epoch: 26 [33280/47500]	Loss: 0.3946	LR: 0.020000
Training Epoch: 26 [33536/47500]	Loss: 0.3914	LR: 0.020000
Training Epoch: 26 [33792/47500]	Loss: 0.3820	LR: 0.020000
Training Epoch: 26 [34048/47500]	Loss: 0.3940	LR: 0.020000
Training Epoch: 26 [34304/47500]	Loss: 0.3400	LR: 0.020000
Training Epoch: 26 [34560/47500]	Loss: 0.4569	LR: 0.020000
Training Epoch: 26 [34816/47500]	Loss: 0.3312	LR: 0.020000
Training Epoch: 26 [35072/47500]	Loss: 0.4214	LR: 0.020000
Training Epoch: 26 [35328/47500]	Loss: 0.4090	LR: 0.020000
Training Epoch: 26 [35584/47500]	Loss: 0.3713	LR: 0.020000
Training Epoch: 26 [35840/47500]	Loss: 0.4326	LR: 0.020000
Training Epoch: 26 [36096/47500]	Loss: 0.3886	LR: 0.020000
Training Epoch: 26 [36352/47500]	Loss: 0.4028	LR: 0.020000
Training Epoch: 26 [36608/47500]	Loss: 0.3827	LR: 0.020000
Training Epoch: 26 [36864/47500]	Loss: 0.4282	LR: 0.020000
Training Epoch: 26 [37120/47500]	Loss: 0.3565	LR: 0.020000
Training Epoch: 26 [37376/47500]	Loss: 0.5717	LR: 0.020000
Training Epoch: 26 [37632/47500]	Loss: 0.3904	LR: 0.020000
Training Epoch: 26 [37888/47500]	Loss: 0.3119	LR: 0.020000
Training Epoch: 26 [38144/47500]	Loss: 0.3560	LR: 0.020000
Training Epoch: 26 [38400/47500]	Loss: 0.3336	LR: 0.020000
Training Epoch: 26 [38656/47500]	Loss: 0.4280	LR: 0.020000
Training Epoch: 26 [38912/47500]	Loss: 0.3535	LR: 0.020000
Training Epoch: 26 [39168/47500]	Loss: 0.4361	LR: 0.020000
Training Epoch: 26 [39424/47500]	Loss: 0.4486	LR: 0.020000
Training Epoch: 26 [39680/47500]	Loss: 0.4365	LR: 0.020000
Training Epoch: 26 [39936/47500]	Loss: 0.3504	LR: 0.020000
Training Epoch: 26 [40192/47500]	Loss: 0.3709	LR: 0.020000
Training Epoch: 26 [40448/47500]	Loss: 0.3806	LR: 0.020000
Training Epoch: 26 [40704/47500]	Loss: 0.3277	LR: 0.020000
Training Epoch: 26 [40960/47500]	Loss: 0.4386	LR: 0.020000
Training Epoch: 26 [41216/47500]	Loss: 0.5305	LR: 0.020000
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Training Epoch: 26 [42752/47500]	Loss: 0.5041	LR: 0.020000
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Training Epoch: 26 [44800/47500]	Loss: 0.3868	LR: 0.020000
Training Epoch: 26 [45056/47500]	Loss: 0.4704	LR: 0.020000
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Training Epoch: 26 [46592/47500]	Loss: 0.3497	LR: 0.020000
Training Epoch: 26 [46848/47500]	Loss: 0.2531	LR: 0.020000
Training Epoch: 26 [47104/47500]	Loss: 0.4160	LR: 0.020000
Training Epoch: 26 [47360/47500]	Loss: 0.4524	LR: 0.020000
Training Epoch: 26 [47500/47500]	Loss: 0.4291	LR: 0.020000
Epoch 26 - Average Train Loss: 0.3731, Train Accuracy: 0.8750
Epoch 26 training time consumed: 28.50s
Evaluating Network.....
Test set: Epoch: 26, Average loss: 0.0031, Accuracy: 0.7769, Time consumed:0.91s
Training Epoch: 27 [256/47500]	Loss: 0.3053	LR: 0.020000
Training Epoch: 27 [512/47500]	Loss: 0.3267	LR: 0.020000
Training Epoch: 27 [768/47500]	Loss: 0.3041	LR: 0.020000
Training Epoch: 27 [1024/47500]	Loss: 0.3689	LR: 0.020000
Training Epoch: 27 [1280/47500]	Loss: 0.3074	LR: 0.020000
Training Epoch: 27 [1536/47500]	Loss: 0.3284	LR: 0.020000
Training Epoch: 27 [1792/47500]	Loss: 0.3031	LR: 0.020000
Training Epoch: 27 [2048/47500]	Loss: 0.3497	LR: 0.020000
Training Epoch: 27 [2304/47500]	Loss: 0.3347	LR: 0.020000
Training Epoch: 27 [2560/47500]	Loss: 0.3695	LR: 0.020000
Training Epoch: 27 [2816/47500]	Loss: 0.3102	LR: 0.020000
Training Epoch: 27 [3072/47500]	Loss: 0.3528	LR: 0.020000
Training Epoch: 27 [3328/47500]	Loss: 0.3256	LR: 0.020000
Training Epoch: 27 [3584/47500]	Loss: 0.3352	LR: 0.020000
Training Epoch: 27 [3840/47500]	Loss: 0.3330	LR: 0.020000
Training Epoch: 27 [4096/47500]	Loss: 0.3831	LR: 0.020000
Training Epoch: 27 [4352/47500]	Loss: 0.2861	LR: 0.020000
Training Epoch: 27 [4608/47500]	Loss: 0.2735	LR: 0.020000
Training Epoch: 27 [4864/47500]	Loss: 0.3367	LR: 0.020000
Training Epoch: 27 [5120/47500]	Loss: 0.3401	LR: 0.020000
Training Epoch: 27 [5376/47500]	Loss: 0.2966	LR: 0.020000
Training Epoch: 27 [5632/47500]	Loss: 0.2957	LR: 0.020000
Training Epoch: 27 [5888/47500]	Loss: 0.3635	LR: 0.020000
Training Epoch: 27 [6144/47500]	Loss: 0.2734	LR: 0.020000
Training Epoch: 27 [6400/47500]	Loss: 0.3617	LR: 0.020000
Training Epoch: 27 [6656/47500]	Loss: 0.3689	LR: 0.020000
Training Epoch: 27 [6912/47500]	Loss: 0.3710	LR: 0.020000
Training Epoch: 27 [7168/47500]	Loss: 0.3129	LR: 0.020000
Training Epoch: 27 [7424/47500]	Loss: 0.4160	LR: 0.020000
Training Epoch: 27 [7680/47500]	Loss: 0.3509	LR: 0.020000
Training Epoch: 27 [7936/47500]	Loss: 0.3847	LR: 0.020000
Training Epoch: 27 [8192/47500]	Loss: 0.4083	LR: 0.020000
Training Epoch: 27 [8448/47500]	Loss: 0.4399	LR: 0.020000
Training Epoch: 27 [8704/47500]	Loss: 0.3241	LR: 0.020000
Training Epoch: 27 [8960/47500]	Loss: 0.2860	LR: 0.020000
Training Epoch: 27 [9216/47500]	Loss: 0.3250	LR: 0.020000
Training Epoch: 27 [9472/47500]	Loss: 0.3647	LR: 0.020000
Training Epoch: 27 [9728/47500]	Loss: 0.3200	LR: 0.020000
Training Epoch: 27 [9984/47500]	Loss: 0.2968	LR: 0.020000
Training Epoch: 27 [10240/47500]	Loss: 0.3698	LR: 0.020000
Training Epoch: 27 [10496/47500]	Loss: 0.3555	LR: 0.020000
Training Epoch: 27 [10752/47500]	Loss: 0.2879	LR: 0.020000
Training Epoch: 27 [11008/47500]	Loss: 0.3962	LR: 0.020000
Training Epoch: 27 [11264/47500]	Loss: 0.2876	LR: 0.020000
Training Epoch: 27 [11520/47500]	Loss: 0.2835	LR: 0.020000
Training Epoch: 27 [11776/47500]	Loss: 0.3183	LR: 0.020000
Training Epoch: 27 [12032/47500]	Loss: 0.2987	LR: 0.020000
Training Epoch: 27 [12288/47500]	Loss: 0.2976	LR: 0.020000
Training Epoch: 27 [12544/47500]	Loss: 0.3580	LR: 0.020000
Training Epoch: 27 [12800/47500]	Loss: 0.3611	LR: 0.020000
Training Epoch: 27 [13056/47500]	Loss: 0.3686	LR: 0.020000
Training Epoch: 27 [13312/47500]	Loss: 0.3733	LR: 0.020000
Training Epoch: 27 [13568/47500]	Loss: 0.3356	LR: 0.020000
Training Epoch: 27 [13824/47500]	Loss: 0.3162	LR: 0.020000
Training Epoch: 27 [14080/47500]	Loss: 0.2779	LR: 0.020000
Training Epoch: 27 [14336/47500]	Loss: 0.3187	LR: 0.020000
Training Epoch: 27 [14592/47500]	Loss: 0.2735	LR: 0.020000
Training Epoch: 27 [14848/47500]	Loss: 0.3552	LR: 0.020000
Training Epoch: 27 [15104/47500]	Loss: 0.3292	LR: 0.020000
Training Epoch: 27 [15360/47500]	Loss: 0.3491	LR: 0.020000
Training Epoch: 27 [15616/47500]	Loss: 0.3270	LR: 0.020000
Training Epoch: 27 [15872/47500]	Loss: 0.3148	LR: 0.020000
Training Epoch: 27 [16128/47500]	Loss: 0.3482	LR: 0.020000
Training Epoch: 27 [16384/47500]	Loss: 0.3956	LR: 0.020000
Training Epoch: 27 [16640/47500]	Loss: 0.3005	LR: 0.020000
Training Epoch: 27 [16896/47500]	Loss: 0.3399	LR: 0.020000
Training Epoch: 27 [17152/47500]	Loss: 0.3827	LR: 0.020000
Training Epoch: 27 [17408/47500]	Loss: 0.3108	LR: 0.020000
Training Epoch: 27 [17664/47500]	Loss: 0.3412	LR: 0.020000
Training Epoch: 27 [17920/47500]	Loss: 0.3732	LR: 0.020000
Training Epoch: 27 [18176/47500]	Loss: 0.3288	LR: 0.020000
Training Epoch: 27 [18432/47500]	Loss: 0.3999	LR: 0.020000
Training Epoch: 27 [18688/47500]	Loss: 0.3446	LR: 0.020000
Training Epoch: 27 [18944/47500]	Loss: 0.2902	LR: 0.020000
Training Epoch: 27 [19200/47500]	Loss: 0.2985	LR: 0.020000
Training Epoch: 27 [19456/47500]	Loss: 0.3719	LR: 0.020000
Training Epoch: 27 [19712/47500]	Loss: 0.3601	LR: 0.020000
Training Epoch: 27 [19968/47500]	Loss: 0.3882	LR: 0.020000
Training Epoch: 27 [20224/47500]	Loss: 0.3675	LR: 0.020000
Training Epoch: 27 [20480/47500]	Loss: 0.4005	LR: 0.020000
Training Epoch: 27 [20736/47500]	Loss: 0.3516	LR: 0.020000
Training Epoch: 27 [20992/47500]	Loss: 0.3366	LR: 0.020000
Training Epoch: 27 [21248/47500]	Loss: 0.3946	LR: 0.020000
Training Epoch: 27 [21504/47500]	Loss: 0.3598	LR: 0.020000
Training Epoch: 27 [21760/47500]	Loss: 0.3091	LR: 0.020000
Training Epoch: 27 [22016/47500]	Loss: 0.3792	LR: 0.020000
Training Epoch: 27 [22272/47500]	Loss: 0.3190	LR: 0.020000
Training Epoch: 27 [22528/47500]	Loss: 0.2514	LR: 0.020000
Training Epoch: 27 [22784/47500]	Loss: 0.3670	LR: 0.020000
Training Epoch: 27 [23040/47500]	Loss: 0.3511	LR: 0.020000
Training Epoch: 27 [23296/47500]	Loss: 0.3606	LR: 0.020000
Training Epoch: 27 [23552/47500]	Loss: 0.3161	LR: 0.020000
Training Epoch: 27 [23808/47500]	Loss: 0.4144	LR: 0.020000
Training Epoch: 27 [24064/47500]	Loss: 0.3147	LR: 0.020000
Training Epoch: 27 [24320/47500]	Loss: 0.3611	LR: 0.020000
Training Epoch: 27 [24576/47500]	Loss: 0.3878	LR: 0.020000
Training Epoch: 27 [24832/47500]	Loss: 0.2762	LR: 0.020000
Training Epoch: 27 [25088/47500]	Loss: 0.3207	LR: 0.020000
Training Epoch: 27 [25344/47500]	Loss: 0.3713	LR: 0.020000
Training Epoch: 27 [25600/47500]	Loss: 0.3773	LR: 0.020000
Training Epoch: 27 [25856/47500]	Loss: 0.3873	LR: 0.020000
Training Epoch: 27 [26112/47500]	Loss: 0.3330	LR: 0.020000
Training Epoch: 27 [26368/47500]	Loss: 0.3841	LR: 0.020000
Training Epoch: 27 [26624/47500]	Loss: 0.4550	LR: 0.020000
Training Epoch: 27 [26880/47500]	Loss: 0.3462	LR: 0.020000
Training Epoch: 27 [27136/47500]	Loss: 0.2653	LR: 0.020000
Training Epoch: 27 [27392/47500]	Loss: 0.3019	LR: 0.020000
Training Epoch: 27 [27648/47500]	Loss: 0.3827	LR: 0.020000
Training Epoch: 27 [27904/47500]	Loss: 0.3316	LR: 0.020000
Training Epoch: 27 [28160/47500]	Loss: 0.2987	LR: 0.020000
Training Epoch: 27 [28416/47500]	Loss: 0.3822	LR: 0.020000
Training Epoch: 27 [28672/47500]	Loss: 0.3345	LR: 0.020000
Training Epoch: 27 [28928/47500]	Loss: 0.2930	LR: 0.020000
Training Epoch: 27 [29184/47500]	Loss: 0.3081	LR: 0.020000
Training Epoch: 27 [29440/47500]	Loss: 0.4203	LR: 0.020000
Training Epoch: 27 [29696/47500]	Loss: 0.3228	LR: 0.020000
Training Epoch: 27 [29952/47500]	Loss: 0.3508	LR: 0.020000
Training Epoch: 27 [30208/47500]	Loss: 0.4039	LR: 0.020000
Training Epoch: 27 [30464/47500]	Loss: 0.3644	LR: 0.020000
Training Epoch: 27 [30720/47500]	Loss: 0.4081	LR: 0.020000
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Training Epoch: 27 [31232/47500]	Loss: 0.3600	LR: 0.020000
Training Epoch: 27 [31488/47500]	Loss: 0.3937	LR: 0.020000
Training Epoch: 27 [31744/47500]	Loss: 0.3506	LR: 0.020000
Training Epoch: 27 [32000/47500]	Loss: 0.3305	LR: 0.020000
Training Epoch: 27 [32256/47500]	Loss: 0.3590	LR: 0.020000
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Training Epoch: 27 [32768/47500]	Loss: 0.3188	LR: 0.020000
Training Epoch: 27 [33024/47500]	Loss: 0.3257	LR: 0.020000
Training Epoch: 27 [33280/47500]	Loss: 0.3972	LR: 0.020000
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Training Epoch: 27 [34816/47500]	Loss: 0.3937	LR: 0.020000
Training Epoch: 27 [35072/47500]	Loss: 0.3218	LR: 0.020000
Training Epoch: 27 [35328/47500]	Loss: 0.4199	LR: 0.020000
Training Epoch: 27 [35584/47500]	Loss: 0.3454	LR: 0.020000
Training Epoch: 27 [35840/47500]	Loss: 0.4219	LR: 0.020000
Training Epoch: 27 [36096/47500]	Loss: 0.3932	LR: 0.020000
Training Epoch: 27 [36352/47500]	Loss: 0.3116	LR: 0.020000
Training Epoch: 27 [36608/47500]	Loss: 0.3256	LR: 0.020000
Training Epoch: 27 [36864/47500]	Loss: 0.3891	LR: 0.020000
Training Epoch: 27 [37120/47500]	Loss: 0.3052	LR: 0.020000
Training Epoch: 27 [37376/47500]	Loss: 0.3234	LR: 0.020000
Training Epoch: 27 [37632/47500]	Loss: 0.3309	LR: 0.020000
Training Epoch: 27 [37888/47500]	Loss: 0.3414	LR: 0.020000
Training Epoch: 27 [38144/47500]	Loss: 0.4227	LR: 0.020000
Training Epoch: 27 [38400/47500]	Loss: 0.3767	LR: 0.020000
Training Epoch: 27 [38656/47500]	Loss: 0.3646	LR: 0.020000
Training Epoch: 27 [38912/47500]	Loss: 0.3630	LR: 0.020000
Training Epoch: 27 [39168/47500]	Loss: 0.3909	LR: 0.020000
Training Epoch: 27 [39424/47500]	Loss: 0.3827	LR: 0.020000
Training Epoch: 27 [39680/47500]	Loss: 0.3644	LR: 0.020000
Training Epoch: 27 [39936/47500]	Loss: 0.2890	LR: 0.020000
Training Epoch: 27 [40192/47500]	Loss: 0.3776	LR: 0.020000
Training Epoch: 27 [40448/47500]	Loss: 0.3053	LR: 0.020000
Training Epoch: 27 [40704/47500]	Loss: 0.4254	LR: 0.020000
Training Epoch: 27 [40960/47500]	Loss: 0.3181	LR: 0.020000
Training Epoch: 27 [41216/47500]	Loss: 0.4475	LR: 0.020000
Training Epoch: 27 [41472/47500]	Loss: 0.3497	LR: 0.020000
Training Epoch: 27 [41728/47500]	Loss: 0.4368	LR: 0.020000
Training Epoch: 27 [41984/47500]	Loss: 0.2776	LR: 0.020000
Training Epoch: 27 [42240/47500]	Loss: 0.3800	LR: 0.020000
Training Epoch: 27 [42496/47500]	Loss: 0.2985	LR: 0.020000
Training Epoch: 27 [42752/47500]	Loss: 0.3615	LR: 0.020000
Training Epoch: 27 [43008/47500]	Loss: 0.3049	LR: 0.020000
Training Epoch: 27 [43264/47500]	Loss: 0.4055	LR: 0.020000
Training Epoch: 27 [43520/47500]	Loss: 0.5207	LR: 0.020000
Training Epoch: 27 [43776/47500]	Loss: 0.3862	LR: 0.020000
Training Epoch: 27 [44032/47500]	Loss: 0.4301	LR: 0.020000
Training Epoch: 27 [44288/47500]	Loss: 0.3111	LR: 0.020000
Training Epoch: 27 [44544/47500]	Loss: 0.4270	LR: 0.020000
Training Epoch: 27 [44800/47500]	Loss: 0.3201	LR: 0.020000
Training Epoch: 27 [45056/47500]	Loss: 0.4348	LR: 0.020000
Training Epoch: 27 [45312/47500]	Loss: 0.4052	LR: 0.020000
Training Epoch: 27 [45568/47500]	Loss: 0.3233	LR: 0.020000
Training Epoch: 27 [45824/47500]	Loss: 0.3606	LR: 0.020000
Training Epoch: 27 [46080/47500]	Loss: 0.3466	LR: 0.020000
Training Epoch: 27 [46336/47500]	Loss: 0.3402	LR: 0.020000
Training Epoch: 27 [46592/47500]	Loss: 0.3808	LR: 0.020000
Training Epoch: 27 [46848/47500]	Loss: 0.3942	LR: 0.020000
Training Epoch: 27 [47104/47500]	Loss: 0.3685	LR: 0.020000
Training Epoch: 27 [47360/47500]	Loss: 0.3591	LR: 0.020000
Training Epoch: 27 [47500/47500]	Loss: 0.3522	LR: 0.020000
Epoch 27 - Average Train Loss: 0.3519, Train Accuracy: 0.8828
Epoch 27 training time consumed: 28.55s
Evaluating Network.....
Test set: Epoch: 27, Average loss: 0.0032, Accuracy: 0.7701, Time consumed:0.92s
Training Epoch: 28 [256/47500]	Loss: 0.3136	LR: 0.020000
Training Epoch: 28 [512/47500]	Loss: 0.2860	LR: 0.020000
Training Epoch: 28 [768/47500]	Loss: 0.3709	LR: 0.020000
Training Epoch: 28 [1024/47500]	Loss: 0.2934	LR: 0.020000
Training Epoch: 28 [1280/47500]	Loss: 0.3218	LR: 0.020000
Training Epoch: 28 [1536/47500]	Loss: 0.3395	LR: 0.020000
Training Epoch: 28 [1792/47500]	Loss: 0.3181	LR: 0.020000
Training Epoch: 28 [2048/47500]	Loss: 0.3780	LR: 0.020000
Training Epoch: 28 [2304/47500]	Loss: 0.4134	LR: 0.020000
Training Epoch: 28 [2560/47500]	Loss: 0.3337	LR: 0.020000
Training Epoch: 28 [2816/47500]	Loss: 0.3166	LR: 0.020000
Training Epoch: 28 [3072/47500]	Loss: 0.3407	LR: 0.020000
Training Epoch: 28 [3328/47500]	Loss: 0.2676	LR: 0.020000
Training Epoch: 28 [3584/47500]	Loss: 0.2775	LR: 0.020000
Training Epoch: 28 [3840/47500]	Loss: 0.3704	LR: 0.020000
Training Epoch: 28 [4096/47500]	Loss: 0.3406	LR: 0.020000
Training Epoch: 28 [4352/47500]	Loss: 0.3105	LR: 0.020000
Training Epoch: 28 [4608/47500]	Loss: 0.2504	LR: 0.020000
Training Epoch: 28 [4864/47500]	Loss: 0.3585	LR: 0.020000
Training Epoch: 28 [5120/47500]	Loss: 0.3290	LR: 0.020000
Training Epoch: 28 [5376/47500]	Loss: 0.3869	LR: 0.020000
Training Epoch: 28 [5632/47500]	Loss: 0.3812	LR: 0.020000
Training Epoch: 28 [5888/47500]	Loss: 0.3263	LR: 0.020000
Training Epoch: 28 [6144/47500]	Loss: 0.3180	LR: 0.020000
Training Epoch: 28 [6400/47500]	Loss: 0.2487	LR: 0.020000
Training Epoch: 28 [6656/47500]	Loss: 0.4054	LR: 0.020000
Training Epoch: 28 [6912/47500]	Loss: 0.2464	LR: 0.020000
Training Epoch: 28 [7168/47500]	Loss: 0.2863	LR: 0.020000
Training Epoch: 28 [7424/47500]	Loss: 0.3168	LR: 0.020000
Training Epoch: 28 [7680/47500]	Loss: 0.2883	LR: 0.020000
Training Epoch: 28 [7936/47500]	Loss: 0.2885	LR: 0.020000
Training Epoch: 28 [8192/47500]	Loss: 0.3629	LR: 0.020000
Training Epoch: 28 [8448/47500]	Loss: 0.3075	LR: 0.020000
Training Epoch: 28 [8704/47500]	Loss: 0.3146	LR: 0.020000
Training Epoch: 28 [8960/47500]	Loss: 0.3275	LR: 0.020000
Training Epoch: 28 [9216/47500]	Loss: 0.3244	LR: 0.020000
Training Epoch: 28 [9472/47500]	Loss: 0.2995	LR: 0.020000
Training Epoch: 28 [9728/47500]	Loss: 0.2627	LR: 0.020000
Training Epoch: 28 [9984/47500]	Loss: 0.3438	LR: 0.020000
Training Epoch: 28 [10240/47500]	Loss: 0.3798	LR: 0.020000
Training Epoch: 28 [10496/47500]	Loss: 0.2662	LR: 0.020000
Training Epoch: 28 [10752/47500]	Loss: 0.4168	LR: 0.020000
Training Epoch: 28 [11008/47500]	Loss: 0.3480	LR: 0.020000
Training Epoch: 28 [11264/47500]	Loss: 0.2890	LR: 0.020000
Training Epoch: 28 [11520/47500]	Loss: 0.3612	LR: 0.020000
Training Epoch: 28 [11776/47500]	Loss: 0.3240	LR: 0.020000
Training Epoch: 28 [12032/47500]	Loss: 0.3087	LR: 0.020000
Training Epoch: 28 [12288/47500]	Loss: 0.3389	LR: 0.020000
Training Epoch: 28 [12544/47500]	Loss: 0.3215	LR: 0.020000
Training Epoch: 28 [12800/47500]	Loss: 0.3467	LR: 0.020000
Training Epoch: 28 [13056/47500]	Loss: 0.3421	LR: 0.020000
Training Epoch: 28 [13312/47500]	Loss: 0.2987	LR: 0.020000
Training Epoch: 28 [13568/47500]	Loss: 0.3260	LR: 0.020000
Training Epoch: 28 [13824/47500]	Loss: 0.3178	LR: 0.020000
Training Epoch: 28 [14080/47500]	Loss: 0.3067	LR: 0.020000
Training Epoch: 28 [14336/47500]	Loss: 0.3388	LR: 0.020000
Training Epoch: 28 [14592/47500]	Loss: 0.3249	LR: 0.020000
Training Epoch: 28 [14848/47500]	Loss: 0.3423	LR: 0.020000
Training Epoch: 28 [15104/47500]	Loss: 0.3016	LR: 0.020000
Training Epoch: 28 [15360/47500]	Loss: 0.3658	LR: 0.020000
Training Epoch: 28 [15616/47500]	Loss: 0.3208	LR: 0.020000
Training Epoch: 28 [15872/47500]	Loss: 0.2903	LR: 0.020000
Training Epoch: 28 [16128/47500]	Loss: 0.3809	LR: 0.020000
Training Epoch: 28 [16384/47500]	Loss: 0.3543	LR: 0.020000
Training Epoch: 28 [16640/47500]	Loss: 0.2985	LR: 0.020000
Training Epoch: 28 [16896/47500]	Loss: 0.2892	LR: 0.020000
Training Epoch: 28 [17152/47500]	Loss: 0.2711	LR: 0.020000
Training Epoch: 28 [17408/47500]	Loss: 0.3505	LR: 0.020000
Training Epoch: 28 [17664/47500]	Loss: 0.3030	LR: 0.020000
Training Epoch: 28 [17920/47500]	Loss: 0.3501	LR: 0.020000
Training Epoch: 28 [18176/47500]	Loss: 0.2803	LR: 0.020000
Training Epoch: 28 [18432/47500]	Loss: 0.4258	LR: 0.020000
Training Epoch: 28 [18688/47500]	Loss: 0.3418	LR: 0.020000
Training Epoch: 28 [18944/47500]	Loss: 0.3181	LR: 0.020000
Training Epoch: 28 [19200/47500]	Loss: 0.3804	LR: 0.020000
Training Epoch: 28 [19456/47500]	Loss: 0.3570	LR: 0.020000
Training Epoch: 28 [19712/47500]	Loss: 0.2494	LR: 0.020000
Training Epoch: 28 [19968/47500]	Loss: 0.3139	LR: 0.020000
Training Epoch: 28 [20224/47500]	Loss: 0.3224	LR: 0.020000
Training Epoch: 28 [20480/47500]	Loss: 0.3318	LR: 0.020000
Training Epoch: 28 [20736/47500]	Loss: 0.3497	LR: 0.020000
Training Epoch: 28 [20992/47500]	Loss: 0.3325	LR: 0.020000
Training Epoch: 28 [21248/47500]	Loss: 0.3050	LR: 0.020000
Training Epoch: 28 [21504/47500]	Loss: 0.3318	LR: 0.020000
Training Epoch: 28 [21760/47500]	Loss: 0.3074	LR: 0.020000
Training Epoch: 28 [22016/47500]	Loss: 0.3686	LR: 0.020000
Training Epoch: 28 [22272/47500]	Loss: 0.2709	LR: 0.020000
Training Epoch: 28 [22528/47500]	Loss: 0.3419	LR: 0.020000
Training Epoch: 28 [22784/47500]	Loss: 0.3138	LR: 0.020000
Training Epoch: 28 [23040/47500]	Loss: 0.3196	LR: 0.020000
Training Epoch: 28 [23296/47500]	Loss: 0.3345	LR: 0.020000
Training Epoch: 28 [23552/47500]	Loss: 0.3727	LR: 0.020000
Training Epoch: 28 [23808/47500]	Loss: 0.2911	LR: 0.020000
Training Epoch: 28 [24064/47500]	Loss: 0.2666	LR: 0.020000
Training Epoch: 28 [24320/47500]	Loss: 0.4056	LR: 0.020000
Training Epoch: 28 [24576/47500]	Loss: 0.3201	LR: 0.020000
Training Epoch: 28 [24832/47500]	Loss: 0.2480	LR: 0.020000
Training Epoch: 28 [25088/47500]	Loss: 0.3093	LR: 0.020000
Training Epoch: 28 [25344/47500]	Loss: 0.4168	LR: 0.020000
Training Epoch: 28 [25600/47500]	Loss: 0.3961	LR: 0.020000
Training Epoch: 28 [25856/47500]	Loss: 0.3389	LR: 0.020000
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Training Epoch: 28 [26368/47500]	Loss: 0.2719	LR: 0.020000
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Training Epoch: 28 [28160/47500]	Loss: 0.2885	LR: 0.020000
Training Epoch: 28 [28416/47500]	Loss: 0.3350	LR: 0.020000
Training Epoch: 28 [28672/47500]	Loss: 0.3511	LR: 0.020000
Training Epoch: 28 [28928/47500]	Loss: 0.3708	LR: 0.020000
Training Epoch: 28 [29184/47500]	Loss: 0.3140	LR: 0.020000
Training Epoch: 28 [29440/47500]	Loss: 0.3812	LR: 0.020000
Training Epoch: 28 [29696/47500]	Loss: 0.4049	LR: 0.020000
Training Epoch: 28 [29952/47500]	Loss: 0.3356	LR: 0.020000
Training Epoch: 28 [30208/47500]	Loss: 0.3520	LR: 0.020000
Training Epoch: 28 [30464/47500]	Loss: 0.3792	LR: 0.020000
Training Epoch: 28 [30720/47500]	Loss: 0.4094	LR: 0.020000
Training Epoch: 28 [30976/47500]	Loss: 0.3184	LR: 0.020000
Training Epoch: 28 [31232/47500]	Loss: 0.3457	LR: 0.020000
Training Epoch: 28 [31488/47500]	Loss: 0.4241	LR: 0.020000
Training Epoch: 28 [31744/47500]	Loss: 0.2752	LR: 0.020000
Training Epoch: 28 [32000/47500]	Loss: 0.4423	LR: 0.020000
Training Epoch: 28 [32256/47500]	Loss: 0.3629	LR: 0.020000
Training Epoch: 28 [32512/47500]	Loss: 0.2804	LR: 0.020000
Training Epoch: 28 [32768/47500]	Loss: 0.2862	LR: 0.020000
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Training Epoch: 28 [35584/47500]	Loss: 0.3840	LR: 0.020000
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Training Epoch: 28 [36352/47500]	Loss: 0.3519	LR: 0.020000
Training Epoch: 28 [36608/47500]	Loss: 0.3085	LR: 0.020000
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Training Epoch: 28 [37120/47500]	Loss: 0.3239	LR: 0.020000
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Training Epoch: 28 [38656/47500]	Loss: 0.3309	LR: 0.020000
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Training Epoch: 28 [40448/47500]	Loss: 0.2979	LR: 0.020000
Training Epoch: 28 [40704/47500]	Loss: 0.4220	LR: 0.020000
Training Epoch: 28 [40960/47500]	Loss: 0.3869	LR: 0.020000
Training Epoch: 28 [41216/47500]	Loss: 0.3126	LR: 0.020000
Training Epoch: 28 [41472/47500]	Loss: 0.4571	LR: 0.020000
Training Epoch: 28 [41728/47500]	Loss: 0.3086	LR: 0.020000
Training Epoch: 28 [41984/47500]	Loss: 0.4302	LR: 0.020000
Training Epoch: 28 [42240/47500]	Loss: 0.4124	LR: 0.020000
Training Epoch: 28 [42496/47500]	Loss: 0.3501	LR: 0.020000
Training Epoch: 28 [42752/47500]	Loss: 0.4138	LR: 0.020000
Training Epoch: 28 [43008/47500]	Loss: 0.3559	LR: 0.020000
Training Epoch: 28 [43264/47500]	Loss: 0.3739	LR: 0.020000
Training Epoch: 28 [43520/47500]	Loss: 0.3922	LR: 0.020000
Training Epoch: 28 [43776/47500]	Loss: 0.3320	LR: 0.020000
Training Epoch: 28 [44032/47500]	Loss: 0.3452	LR: 0.020000
Training Epoch: 28 [44288/47500]	Loss: 0.3331	LR: 0.020000
Training Epoch: 28 [44544/47500]	Loss: 0.4453	LR: 0.020000
Training Epoch: 28 [44800/47500]	Loss: 0.4039	LR: 0.020000
Training Epoch: 28 [45056/47500]	Loss: 0.3805	LR: 0.020000
Training Epoch: 28 [45312/47500]	Loss: 0.3133	LR: 0.020000
Training Epoch: 28 [45568/47500]	Loss: 0.4117	LR: 0.020000
Training Epoch: 28 [45824/47500]	Loss: 0.3119	LR: 0.020000
Training Epoch: 28 [46080/47500]	Loss: 0.2894	LR: 0.020000
Training Epoch: 28 [46336/47500]	Loss: 0.4239	LR: 0.020000
Training Epoch: 28 [46592/47500]	Loss: 0.4146	LR: 0.020000
Training Epoch: 28 [46848/47500]	Loss: 0.3356	LR: 0.020000
Training Epoch: 28 [47104/47500]	Loss: 0.4275	LR: 0.020000
Training Epoch: 28 [47360/47500]	Loss: 0.4199	LR: 0.020000
Training Epoch: 28 [47500/47500]	Loss: 0.3221	LR: 0.020000
Epoch 28 - Average Train Loss: 0.3409, Train Accuracy: 0.8863
Epoch 28 training time consumed: 28.55s
Evaluating Network.....
Test set: Epoch: 28, Average loss: 0.0031, Accuracy: 0.7768, Time consumed:0.96s
Training Epoch: 29 [256/47500]	Loss: 0.3563	LR: 0.020000
Training Epoch: 29 [512/47500]	Loss: 0.3687	LR: 0.020000
Training Epoch: 29 [768/47500]	Loss: 0.2553	LR: 0.020000
Training Epoch: 29 [1024/47500]	Loss: 0.3363	LR: 0.020000
Training Epoch: 29 [1280/47500]	Loss: 0.2624	LR: 0.020000
Training Epoch: 29 [1536/47500]	Loss: 0.2336	LR: 0.020000
Training Epoch: 29 [1792/47500]	Loss: 0.3261	LR: 0.020000
Training Epoch: 29 [2048/47500]	Loss: 0.3647	LR: 0.020000
Training Epoch: 29 [2304/47500]	Loss: 0.2884	LR: 0.020000
Training Epoch: 29 [2560/47500]	Loss: 0.2501	LR: 0.020000
Training Epoch: 29 [2816/47500]	Loss: 0.3080	LR: 0.020000
Training Epoch: 29 [3072/47500]	Loss: 0.3273	LR: 0.020000
Training Epoch: 29 [3328/47500]	Loss: 0.4046	LR: 0.020000
Training Epoch: 29 [3584/47500]	Loss: 0.3475	LR: 0.020000
Training Epoch: 29 [3840/47500]	Loss: 0.2817	LR: 0.020000
Training Epoch: 29 [4096/47500]	Loss: 0.3311	LR: 0.020000
Training Epoch: 29 [4352/47500]	Loss: 0.2824	LR: 0.020000
Training Epoch: 29 [4608/47500]	Loss: 0.3293	LR: 0.020000
Training Epoch: 29 [4864/47500]	Loss: 0.2418	LR: 0.020000
Training Epoch: 29 [5120/47500]	Loss: 0.3734	LR: 0.020000
Training Epoch: 29 [5376/47500]	Loss: 0.3192	LR: 0.020000
Training Epoch: 29 [5632/47500]	Loss: 0.2780	LR: 0.020000
Training Epoch: 29 [5888/47500]	Loss: 0.2847	LR: 0.020000
Training Epoch: 29 [6144/47500]	Loss: 0.3368	LR: 0.020000
Training Epoch: 29 [6400/47500]	Loss: 0.3814	LR: 0.020000
Training Epoch: 29 [6656/47500]	Loss: 0.2820	LR: 0.020000
Training Epoch: 29 [6912/47500]	Loss: 0.3302	LR: 0.020000
Training Epoch: 29 [7168/47500]	Loss: 0.3420	LR: 0.020000
Training Epoch: 29 [7424/47500]	Loss: 0.2903	LR: 0.020000
Training Epoch: 29 [7680/47500]	Loss: 0.3200	LR: 0.020000
Training Epoch: 29 [7936/47500]	Loss: 0.3026	LR: 0.020000
Training Epoch: 29 [8192/47500]	Loss: 0.3113	LR: 0.020000
Training Epoch: 29 [8448/47500]	Loss: 0.3546	LR: 0.020000
Training Epoch: 29 [8704/47500]	Loss: 0.2597	LR: 0.020000
Training Epoch: 29 [8960/47500]	Loss: 0.2997	LR: 0.020000
Training Epoch: 29 [9216/47500]	Loss: 0.3378	LR: 0.020000
Training Epoch: 29 [9472/47500]	Loss: 0.2657	LR: 0.020000
Training Epoch: 29 [9728/47500]	Loss: 0.2903	LR: 0.020000
Training Epoch: 29 [9984/47500]	Loss: 0.2755	LR: 0.020000
Training Epoch: 29 [10240/47500]	Loss: 0.2759	LR: 0.020000
Training Epoch: 29 [10496/47500]	Loss: 0.2578	LR: 0.020000
Training Epoch: 29 [10752/47500]	Loss: 0.3541	LR: 0.020000
Training Epoch: 29 [11008/47500]	Loss: 0.3215	LR: 0.020000
Training Epoch: 29 [11264/47500]	Loss: 0.2998	LR: 0.020000
Training Epoch: 29 [11520/47500]	Loss: 0.3051	LR: 0.020000
Training Epoch: 29 [11776/47500]	Loss: 0.2271	LR: 0.020000
Training Epoch: 29 [12032/47500]	Loss: 0.2816	LR: 0.020000
Training Epoch: 29 [12288/47500]	Loss: 0.3372	LR: 0.020000
Training Epoch: 29 [12544/47500]	Loss: 0.3826	LR: 0.020000
Training Epoch: 29 [12800/47500]	Loss: 0.3182	LR: 0.020000
Training Epoch: 29 [13056/47500]	Loss: 0.3545	LR: 0.020000
Training Epoch: 29 [13312/47500]	Loss: 0.2446	LR: 0.020000
Training Epoch: 29 [13568/47500]	Loss: 0.3383	LR: 0.020000
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Training Epoch: 29 [14080/47500]	Loss: 0.2721	LR: 0.020000
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Training Epoch: 29 [15104/47500]	Loss: 0.2649	LR: 0.020000
Training Epoch: 29 [15360/47500]	Loss: 0.3678	LR: 0.020000
Training Epoch: 29 [15616/47500]	Loss: 0.2810	LR: 0.020000
Training Epoch: 29 [15872/47500]	Loss: 0.2792	LR: 0.020000
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Training Epoch: 29 [16384/47500]	Loss: 0.3512	LR: 0.020000
Training Epoch: 29 [16640/47500]	Loss: 0.2889	LR: 0.020000
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Training Epoch: 29 [18432/47500]	Loss: 0.3088	LR: 0.020000
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Training Epoch: 29 [18944/47500]	Loss: 0.5337	LR: 0.020000
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Training Epoch: 29 [19456/47500]	Loss: 0.3622	LR: 0.020000
Training Epoch: 29 [19712/47500]	Loss: 0.2911	LR: 0.020000
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Training Epoch: 29 [20224/47500]	Loss: 0.2928	LR: 0.020000
Training Epoch: 29 [20480/47500]	Loss: 0.3562	LR: 0.020000
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Training Epoch: 29 [22016/47500]	Loss: 0.2882	LR: 0.020000
Training Epoch: 29 [22272/47500]	Loss: 0.3755	LR: 0.020000
Training Epoch: 29 [22528/47500]	Loss: 0.4218	LR: 0.020000
Training Epoch: 29 [22784/47500]	Loss: 0.3003	LR: 0.020000
Training Epoch: 29 [23040/47500]	Loss: 0.3395	LR: 0.020000
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Training Epoch: 29 [24576/47500]	Loss: 0.3889	LR: 0.020000
Training Epoch: 29 [24832/47500]	Loss: 0.3351	LR: 0.020000
Training Epoch: 29 [25088/47500]	Loss: 0.2848	LR: 0.020000
Training Epoch: 29 [25344/47500]	Loss: 0.3559	LR: 0.020000
Training Epoch: 29 [25600/47500]	Loss: 0.3487	LR: 0.020000
Training Epoch: 29 [25856/47500]	Loss: 0.3177	LR: 0.020000
Training Epoch: 29 [26112/47500]	Loss: 0.3411	LR: 0.020000
Training Epoch: 29 [26368/47500]	Loss: 0.3778	LR: 0.020000
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Training Epoch: 29 [26880/47500]	Loss: 0.3539	LR: 0.020000
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Training Epoch: 29 [27392/47500]	Loss: 0.4194	LR: 0.020000
Training Epoch: 29 [27648/47500]	Loss: 0.3991	LR: 0.020000
Training Epoch: 29 [27904/47500]	Loss: 0.3658	LR: 0.020000
Training Epoch: 29 [28160/47500]	Loss: 0.2682	LR: 0.020000
Training Epoch: 29 [28416/47500]	Loss: 0.3074	LR: 0.020000
Training Epoch: 29 [28672/47500]	Loss: 0.2886	LR: 0.020000
Training Epoch: 29 [28928/47500]	Loss: 0.3248	LR: 0.020000
Training Epoch: 29 [29184/47500]	Loss: 0.3657	LR: 0.020000
Training Epoch: 29 [29440/47500]	Loss: 0.3700	LR: 0.020000
Training Epoch: 29 [29696/47500]	Loss: 0.4610	LR: 0.020000
Training Epoch: 29 [29952/47500]	Loss: 0.3542	LR: 0.020000
Training Epoch: 29 [30208/47500]	Loss: 0.3373	LR: 0.020000
Training Epoch: 29 [30464/47500]	Loss: 0.3906	LR: 0.020000
Training Epoch: 29 [30720/47500]	Loss: 0.3692	LR: 0.020000
Training Epoch: 29 [30976/47500]	Loss: 0.2834	LR: 0.020000
Training Epoch: 29 [31232/47500]	Loss: 0.3291	LR: 0.020000
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Training Epoch: 29 [32000/47500]	Loss: 0.3376	LR: 0.020000
Training Epoch: 29 [32256/47500]	Loss: 0.3386	LR: 0.020000
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Training Epoch: 29 [32768/47500]	Loss: 0.2888	LR: 0.020000
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Training Epoch: 29 [35584/47500]	Loss: 0.3519	LR: 0.020000
Training Epoch: 29 [35840/47500]	Loss: 0.4595	LR: 0.020000
Training Epoch: 29 [36096/47500]	Loss: 0.3187	LR: 0.020000
Training Epoch: 29 [36352/47500]	Loss: 0.3421	LR: 0.020000
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Training Epoch: 29 [36864/47500]	Loss: 0.4120	LR: 0.020000
Training Epoch: 29 [37120/47500]	Loss: 0.2792	LR: 0.020000
Training Epoch: 29 [37376/47500]	Loss: 0.3588	LR: 0.020000
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Training Epoch: 29 [37888/47500]	Loss: 0.3221	LR: 0.020000
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Training Epoch: 29 [40192/47500]	Loss: 0.3002	LR: 0.020000
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Training Epoch: 29 [41216/47500]	Loss: 0.4144	LR: 0.020000
Training Epoch: 29 [41472/47500]	Loss: 0.3863	LR: 0.020000
Training Epoch: 29 [41728/47500]	Loss: 0.4314	LR: 0.020000
Training Epoch: 29 [41984/47500]	Loss: 0.4040	LR: 0.020000
Training Epoch: 29 [42240/47500]	Loss: 0.3486	LR: 0.020000
Training Epoch: 29 [42496/47500]	Loss: 0.3532	LR: 0.020000
Training Epoch: 29 [42752/47500]	Loss: 0.2823	LR: 0.020000
Training Epoch: 29 [43008/47500]	Loss: 0.3232	LR: 0.020000
Training Epoch: 29 [43264/47500]	Loss: 0.3990	LR: 0.020000
Training Epoch: 29 [43520/47500]	Loss: 0.2900	LR: 0.020000
Training Epoch: 29 [43776/47500]	Loss: 0.3064	LR: 0.020000
Training Epoch: 29 [44032/47500]	Loss: 0.2982	LR: 0.020000
Training Epoch: 29 [44288/47500]	Loss: 0.3678	LR: 0.020000
Training Epoch: 29 [44544/47500]	Loss: 0.3229	LR: 0.020000
Training Epoch: 29 [44800/47500]	Loss: 0.3281	LR: 0.020000
Training Epoch: 29 [45056/47500]	Loss: 0.4207	LR: 0.020000
Training Epoch: 29 [45312/47500]	Loss: 0.3287	LR: 0.020000
Training Epoch: 29 [45568/47500]	Loss: 0.3813	LR: 0.020000
Training Epoch: 29 [45824/47500]	Loss: 0.3741	LR: 0.020000
Training Epoch: 29 [46080/47500]	Loss: 0.3165	LR: 0.020000
Training Epoch: 29 [46336/47500]	Loss: 0.3760	LR: 0.020000
Training Epoch: 29 [46592/47500]	Loss: 0.2941	LR: 0.020000
Training Epoch: 29 [46848/47500]	Loss: 0.3472	LR: 0.020000
Training Epoch: 29 [47104/47500]	Loss: 0.3083	LR: 0.020000
Training Epoch: 29 [47360/47500]	Loss: 0.3896	LR: 0.020000
Training Epoch: 29 [47500/47500]	Loss: 0.4391	LR: 0.020000
Epoch 29 - Average Train Loss: 0.3329, Train Accuracy: 0.8892
Epoch 29 training time consumed: 28.58s
Evaluating Network.....
Test set: Epoch: 29, Average loss: 0.0033, Accuracy: 0.7705, Time consumed:0.92s
Training Epoch: 30 [256/47500]	Loss: 0.2630	LR: 0.004000
Training Epoch: 30 [512/47500]	Loss: 0.3045	LR: 0.004000
Training Epoch: 30 [768/47500]	Loss: 0.2649	LR: 0.004000
Training Epoch: 30 [1024/47500]	Loss: 0.3567	LR: 0.004000
Training Epoch: 30 [1280/47500]	Loss: 0.3318	LR: 0.004000
Training Epoch: 30 [1536/47500]	Loss: 0.2787	LR: 0.004000
Training Epoch: 30 [1792/47500]	Loss: 0.2820	LR: 0.004000
Training Epoch: 30 [2048/47500]	Loss: 0.2536	LR: 0.004000
Training Epoch: 30 [2304/47500]	Loss: 0.3634	LR: 0.004000
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Training Epoch: 30 [47500/47500]	Loss: 0.2569	LR: 0.004000
Epoch 30 - Average Train Loss: 0.2172, Train Accuracy: 0.9312
Epoch 30 training time consumed: 28.62s
Evaluating Network.....
Test set: Epoch: 30, Average loss: 0.0027, Accuracy: 0.8046, Time consumed:1.01s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_20h_34m_46s/ResNet18-Cifar20-seed6-ret50-30-best.pth
Training Epoch: 31 [256/47500]	Loss: 0.2138	LR: 0.004000
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Training Epoch: 31 [45568/47500]	Loss: 0.2137	LR: 0.004000
Training Epoch: 31 [45824/47500]	Loss: 0.1616	LR: 0.004000
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Training Epoch: 31 [46336/47500]	Loss: 0.1857	LR: 0.004000
Training Epoch: 31 [46592/47500]	Loss: 0.1498	LR: 0.004000
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Training Epoch: 31 [47104/47500]	Loss: 0.1762	LR: 0.004000
Training Epoch: 31 [47360/47500]	Loss: 0.2112	LR: 0.004000
Training Epoch: 31 [47500/47500]	Loss: 0.2670	LR: 0.004000
Epoch 31 - Average Train Loss: 0.1744, Train Accuracy: 0.9469
Epoch 31 training time consumed: 28.60s
Evaluating Network.....
Test set: Epoch: 31, Average loss: 0.0027, Accuracy: 0.8102, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_20h_34m_46s/ResNet18-Cifar20-seed6-ret50-31-best.pth
Training Epoch: 32 [256/47500]	Loss: 0.1890	LR: 0.004000
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Training Epoch: 32 [768/47500]	Loss: 0.1412	LR: 0.004000
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Training Epoch: 32 [46336/47500]	Loss: 0.2545	LR: 0.004000
Training Epoch: 32 [46592/47500]	Loss: 0.1422	LR: 0.004000
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Training Epoch: 32 [47360/47500]	Loss: 0.2210	LR: 0.004000
Training Epoch: 32 [47500/47500]	Loss: 0.1548	LR: 0.004000
Epoch 32 - Average Train Loss: 0.1578, Train Accuracy: 0.9528
Epoch 32 training time consumed: 28.51s
Evaluating Network.....
Test set: Epoch: 32, Average loss: 0.0028, Accuracy: 0.8047, Time consumed:0.87s
Training Epoch: 33 [256/47500]	Loss: 0.1171	LR: 0.004000
Training Epoch: 33 [512/47500]	Loss: 0.1290	LR: 0.004000
Training Epoch: 33 [768/47500]	Loss: 0.0935	LR: 0.004000
Training Epoch: 33 [1024/47500]	Loss: 0.1735	LR: 0.004000
Training Epoch: 33 [1280/47500]	Loss: 0.1198	LR: 0.004000
Training Epoch: 33 [1536/47500]	Loss: 0.1367	LR: 0.004000
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Training Epoch: 33 [5376/47500]	Loss: 0.1349	LR: 0.004000
Training Epoch: 33 [5632/47500]	Loss: 0.1360	LR: 0.004000
Training Epoch: 33 [5888/47500]	Loss: 0.1581	LR: 0.004000
Training Epoch: 33 [6144/47500]	Loss: 0.1449	LR: 0.004000
Training Epoch: 33 [6400/47500]	Loss: 0.1345	LR: 0.004000
Training Epoch: 33 [6656/47500]	Loss: 0.1835	LR: 0.004000
Training Epoch: 33 [6912/47500]	Loss: 0.1857	LR: 0.004000
Training Epoch: 33 [7168/47500]	Loss: 0.1252	LR: 0.004000
Training Epoch: 33 [7424/47500]	Loss: 0.1379	LR: 0.004000
Training Epoch: 33 [7680/47500]	Loss: 0.1148	LR: 0.004000
Training Epoch: 33 [7936/47500]	Loss: 0.1458	LR: 0.004000
Training Epoch: 33 [8192/47500]	Loss: 0.1602	LR: 0.004000
Training Epoch: 33 [8448/47500]	Loss: 0.1515	LR: 0.004000
Training Epoch: 33 [8704/47500]	Loss: 0.1585	LR: 0.004000
Training Epoch: 33 [8960/47500]	Loss: 0.1561	LR: 0.004000
Training Epoch: 33 [9216/47500]	Loss: 0.2303	LR: 0.004000
Training Epoch: 33 [9472/47500]	Loss: 0.1413	LR: 0.004000
Training Epoch: 33 [9728/47500]	Loss: 0.1718	LR: 0.004000
Training Epoch: 33 [9984/47500]	Loss: 0.1438	LR: 0.004000
Training Epoch: 33 [10240/47500]	Loss: 0.1503	LR: 0.004000
Training Epoch: 33 [10496/47500]	Loss: 0.1052	LR: 0.004000
Training Epoch: 33 [10752/47500]	Loss: 0.1583	LR: 0.004000
Training Epoch: 33 [11008/47500]	Loss: 0.1587	LR: 0.004000
Training Epoch: 33 [11264/47500]	Loss: 0.1590	LR: 0.004000
Training Epoch: 33 [11520/47500]	Loss: 0.0791	LR: 0.004000
Training Epoch: 33 [11776/47500]	Loss: 0.1566	LR: 0.004000
Training Epoch: 33 [12032/47500]	Loss: 0.1373	LR: 0.004000
Training Epoch: 33 [12288/47500]	Loss: 0.1583	LR: 0.004000
Training Epoch: 33 [12544/47500]	Loss: 0.1681	LR: 0.004000
Training Epoch: 33 [12800/47500]	Loss: 0.1325	LR: 0.004000
Training Epoch: 33 [13056/47500]	Loss: 0.1431	LR: 0.004000
Training Epoch: 33 [13312/47500]	Loss: 0.1478	LR: 0.004000
Training Epoch: 33 [13568/47500]	Loss: 0.1668	LR: 0.004000
Training Epoch: 33 [13824/47500]	Loss: 0.0996	LR: 0.004000
Training Epoch: 33 [14080/47500]	Loss: 0.1927	LR: 0.004000
Training Epoch: 33 [14336/47500]	Loss: 0.1694	LR: 0.004000
Training Epoch: 33 [14592/47500]	Loss: 0.1539	LR: 0.004000
Training Epoch: 33 [14848/47500]	Loss: 0.1348	LR: 0.004000
Training Epoch: 33 [15104/47500]	Loss: 0.1282	LR: 0.004000
Training Epoch: 33 [15360/47500]	Loss: 0.1292	LR: 0.004000
Training Epoch: 33 [15616/47500]	Loss: 0.1946	LR: 0.004000
Training Epoch: 33 [15872/47500]	Loss: 0.1178	LR: 0.004000
Training Epoch: 33 [16128/47500]	Loss: 0.1325	LR: 0.004000
Training Epoch: 33 [16384/47500]	Loss: 0.1325	LR: 0.004000
Training Epoch: 33 [16640/47500]	Loss: 0.1450	LR: 0.004000
Training Epoch: 33 [16896/47500]	Loss: 0.1389	LR: 0.004000
Training Epoch: 33 [17152/47500]	Loss: 0.1579	LR: 0.004000
Training Epoch: 33 [17408/47500]	Loss: 0.1924	LR: 0.004000
Training Epoch: 33 [17664/47500]	Loss: 0.1601	LR: 0.004000
Training Epoch: 33 [17920/47500]	Loss: 0.1029	LR: 0.004000
Training Epoch: 33 [18176/47500]	Loss: 0.1693	LR: 0.004000
Training Epoch: 33 [18432/47500]	Loss: 0.1307	LR: 0.004000
Training Epoch: 33 [18688/47500]	Loss: 0.1260	LR: 0.004000
Training Epoch: 33 [18944/47500]	Loss: 0.0970	LR: 0.004000
Training Epoch: 33 [19200/47500]	Loss: 0.1744	LR: 0.004000
Training Epoch: 33 [19456/47500]	Loss: 0.1701	LR: 0.004000
Training Epoch: 33 [19712/47500]	Loss: 0.1341	LR: 0.004000
Training Epoch: 33 [19968/47500]	Loss: 0.1653	LR: 0.004000
Training Epoch: 33 [20224/47500]	Loss: 0.1515	LR: 0.004000
Training Epoch: 33 [20480/47500]	Loss: 0.1310	LR: 0.004000
Training Epoch: 33 [20736/47500]	Loss: 0.1462	LR: 0.004000
Training Epoch: 33 [20992/47500]	Loss: 0.2052	LR: 0.004000
Training Epoch: 33 [21248/47500]	Loss: 0.1391	LR: 0.004000
Training Epoch: 33 [21504/47500]	Loss: 0.1418	LR: 0.004000
Training Epoch: 33 [21760/47500]	Loss: 0.1187	LR: 0.004000
Training Epoch: 33 [22016/47500]	Loss: 0.2012	LR: 0.004000
Training Epoch: 33 [22272/47500]	Loss: 0.1308	LR: 0.004000
Training Epoch: 33 [22528/47500]	Loss: 0.1051	LR: 0.004000
Training Epoch: 33 [22784/47500]	Loss: 0.1228	LR: 0.004000
Training Epoch: 33 [23040/47500]	Loss: 0.1330	LR: 0.004000
Training Epoch: 33 [23296/47500]	Loss: 0.1433	LR: 0.004000
Training Epoch: 33 [23552/47500]	Loss: 0.1116	LR: 0.004000
Training Epoch: 33 [23808/47500]	Loss: 0.1297	LR: 0.004000
Training Epoch: 33 [24064/47500]	Loss: 0.1839	LR: 0.004000
Training Epoch: 33 [24320/47500]	Loss: 0.1549	LR: 0.004000
Training Epoch: 33 [24576/47500]	Loss: 0.1589	LR: 0.004000
Training Epoch: 33 [24832/47500]	Loss: 0.1866	LR: 0.004000
Training Epoch: 33 [25088/47500]	Loss: 0.1451	LR: 0.004000
Training Epoch: 33 [25344/47500]	Loss: 0.1594	LR: 0.004000
Training Epoch: 33 [25600/47500]	Loss: 0.1454	LR: 0.004000
Training Epoch: 33 [25856/47500]	Loss: 0.1494	LR: 0.004000
Training Epoch: 33 [26112/47500]	Loss: 0.1299	LR: 0.004000
Training Epoch: 33 [26368/47500]	Loss: 0.1611	LR: 0.004000
Training Epoch: 33 [26624/47500]	Loss: 0.0943	LR: 0.004000
Training Epoch: 33 [26880/47500]	Loss: 0.1611	LR: 0.004000
Training Epoch: 33 [27136/47500]	Loss: 0.1137	LR: 0.004000
Training Epoch: 33 [27392/47500]	Loss: 0.1493	LR: 0.004000
Training Epoch: 33 [27648/47500]	Loss: 0.1627	LR: 0.004000
Training Epoch: 33 [27904/47500]	Loss: 0.1417	LR: 0.004000
Training Epoch: 33 [28160/47500]	Loss: 0.1371	LR: 0.004000
Training Epoch: 33 [28416/47500]	Loss: 0.1064	LR: 0.004000
Training Epoch: 33 [28672/47500]	Loss: 0.1641	LR: 0.004000
Training Epoch: 33 [28928/47500]	Loss: 0.1700	LR: 0.004000
Training Epoch: 33 [29184/47500]	Loss: 0.1619	LR: 0.004000
Training Epoch: 33 [29440/47500]	Loss: 0.1752	LR: 0.004000
Training Epoch: 33 [29696/47500]	Loss: 0.1268	LR: 0.004000
Training Epoch: 33 [29952/47500]	Loss: 0.1629	LR: 0.004000
Training Epoch: 33 [30208/47500]	Loss: 0.0935	LR: 0.004000
Training Epoch: 33 [30464/47500]	Loss: 0.0997	LR: 0.004000
Training Epoch: 33 [30720/47500]	Loss: 0.1521	LR: 0.004000
Training Epoch: 33 [30976/47500]	Loss: 0.1273	LR: 0.004000
Training Epoch: 33 [31232/47500]	Loss: 0.1409	LR: 0.004000
Training Epoch: 33 [31488/47500]	Loss: 0.1362	LR: 0.004000
Training Epoch: 33 [31744/47500]	Loss: 0.1503	LR: 0.004000
Training Epoch: 33 [32000/47500]	Loss: 0.1622	LR: 0.004000
Training Epoch: 33 [32256/47500]	Loss: 0.1333	LR: 0.004000
Training Epoch: 33 [32512/47500]	Loss: 0.1613	LR: 0.004000
Training Epoch: 33 [32768/47500]	Loss: 0.1174	LR: 0.004000
Training Epoch: 33 [33024/47500]	Loss: 0.1644	LR: 0.004000
Training Epoch: 33 [33280/47500]	Loss: 0.1253	LR: 0.004000
Training Epoch: 33 [33536/47500]	Loss: 0.1957	LR: 0.004000
Training Epoch: 33 [33792/47500]	Loss: 0.2143	LR: 0.004000
Training Epoch: 33 [34048/47500]	Loss: 0.1443	LR: 0.004000
Training Epoch: 33 [34304/47500]	Loss: 0.1808	LR: 0.004000
Training Epoch: 33 [34560/47500]	Loss: 0.1893	LR: 0.004000
Training Epoch: 33 [34816/47500]	Loss: 0.1556	LR: 0.004000
Training Epoch: 33 [35072/47500]	Loss: 0.1677	LR: 0.004000
Training Epoch: 33 [35328/47500]	Loss: 0.1581	LR: 0.004000
Training Epoch: 33 [35584/47500]	Loss: 0.1431	LR: 0.004000
Training Epoch: 33 [35840/47500]	Loss: 0.1287	LR: 0.004000
Training Epoch: 33 [36096/47500]	Loss: 0.1601	LR: 0.004000
Training Epoch: 33 [36352/47500]	Loss: 0.1550	LR: 0.004000
Training Epoch: 33 [36608/47500]	Loss: 0.1270	LR: 0.004000
Training Epoch: 33 [36864/47500]	Loss: 0.1438	LR: 0.004000
Training Epoch: 33 [37120/47500]	Loss: 0.1363	LR: 0.004000
Training Epoch: 33 [37376/47500]	Loss: 0.1193	LR: 0.004000
Training Epoch: 33 [37632/47500]	Loss: 0.1520	LR: 0.004000
Training Epoch: 33 [37888/47500]	Loss: 0.1674	LR: 0.004000
Training Epoch: 33 [38144/47500]	Loss: 0.1398	LR: 0.004000
Training Epoch: 33 [38400/47500]	Loss: 0.1768	LR: 0.004000
Training Epoch: 33 [38656/47500]	Loss: 0.1842	LR: 0.004000
Training Epoch: 33 [38912/47500]	Loss: 0.1443	LR: 0.004000
Training Epoch: 33 [39168/47500]	Loss: 0.1468	LR: 0.004000
Training Epoch: 33 [39424/47500]	Loss: 0.1559	LR: 0.004000
Training Epoch: 33 [39680/47500]	Loss: 0.1330	LR: 0.004000
Training Epoch: 33 [39936/47500]	Loss: 0.1702	LR: 0.004000
Training Epoch: 33 [40192/47500]	Loss: 0.2184	LR: 0.004000
Training Epoch: 33 [40448/47500]	Loss: 0.1636	LR: 0.004000
Training Epoch: 33 [40704/47500]	Loss: 0.1242	LR: 0.004000
Training Epoch: 33 [40960/47500]	Loss: 0.1087	LR: 0.004000
Training Epoch: 33 [41216/47500]	Loss: 0.1475	LR: 0.004000
Training Epoch: 33 [41472/47500]	Loss: 0.1044	LR: 0.004000
Training Epoch: 33 [41728/47500]	Loss: 0.1694	LR: 0.004000
Training Epoch: 33 [41984/47500]	Loss: 0.1469	LR: 0.004000
Training Epoch: 33 [42240/47500]	Loss: 0.1442	LR: 0.004000
Training Epoch: 33 [42496/47500]	Loss: 0.1357	LR: 0.004000
Training Epoch: 33 [42752/47500]	Loss: 0.1137	LR: 0.004000
Training Epoch: 33 [43008/47500]	Loss: 0.1194	LR: 0.004000
Training Epoch: 33 [43264/47500]	Loss: 0.1593	LR: 0.004000
Training Epoch: 33 [43520/47500]	Loss: 0.2028	LR: 0.004000
Training Epoch: 33 [43776/47500]	Loss: 0.1662	LR: 0.004000
Training Epoch: 33 [44032/47500]	Loss: 0.0977	LR: 0.004000
Training Epoch: 33 [44288/47500]	Loss: 0.1942	LR: 0.004000
Training Epoch: 33 [44544/47500]	Loss: 0.1353	LR: 0.004000
Training Epoch: 33 [44800/47500]	Loss: 0.1365	LR: 0.004000
Training Epoch: 33 [45056/47500]	Loss: 0.1648	LR: 0.004000
Training Epoch: 33 [45312/47500]	Loss: 0.1473	LR: 0.004000
Training Epoch: 33 [45568/47500]	Loss: 0.1630	LR: 0.004000
Training Epoch: 33 [45824/47500]	Loss: 0.1621	LR: 0.004000
Training Epoch: 33 [46080/47500]	Loss: 0.1799	LR: 0.004000
Training Epoch: 33 [46336/47500]	Loss: 0.1356	LR: 0.004000
Training Epoch: 33 [46592/47500]	Loss: 0.1779	LR: 0.004000
Training Epoch: 33 [46848/47500]	Loss: 0.1764	LR: 0.004000
Training Epoch: 33 [47104/47500]	Loss: 0.1691	LR: 0.004000
Training Epoch: 33 [47360/47500]	Loss: 0.1640	LR: 0.004000
Training Epoch: 33 [47500/47500]	Loss: 0.1912	LR: 0.004000
Epoch 33 - Average Train Loss: 0.1478, Train Accuracy: 0.9549
Epoch 33 training time consumed: 28.55s
Evaluating Network.....
Test set: Epoch: 33, Average loss: 0.0028, Accuracy: 0.8071, Time consumed:0.91s
Training Epoch: 34 [256/47500]	Loss: 0.0943	LR: 0.004000
Training Epoch: 34 [512/47500]	Loss: 0.1315	LR: 0.004000
Training Epoch: 34 [768/47500]	Loss: 0.1021	LR: 0.004000
Training Epoch: 34 [1024/47500]	Loss: 0.1200	LR: 0.004000
Training Epoch: 34 [1280/47500]	Loss: 0.0837	LR: 0.004000
Training Epoch: 34 [1536/47500]	Loss: 0.1308	LR: 0.004000
Training Epoch: 34 [1792/47500]	Loss: 0.1118	LR: 0.004000
Training Epoch: 34 [2048/47500]	Loss: 0.1728	LR: 0.004000
Training Epoch: 34 [2304/47500]	Loss: 0.1298	LR: 0.004000
Training Epoch: 34 [2560/47500]	Loss: 0.1010	LR: 0.004000
Training Epoch: 34 [2816/47500]	Loss: 0.1507	LR: 0.004000
Training Epoch: 34 [3072/47500]	Loss: 0.1213	LR: 0.004000
Training Epoch: 34 [3328/47500]	Loss: 0.1303	LR: 0.004000
Training Epoch: 34 [3584/47500]	Loss: 0.0958	LR: 0.004000
Training Epoch: 34 [3840/47500]	Loss: 0.1081	LR: 0.004000
Training Epoch: 34 [4096/47500]	Loss: 0.1611	LR: 0.004000
Training Epoch: 34 [4352/47500]	Loss: 0.1367	LR: 0.004000
Training Epoch: 34 [4608/47500]	Loss: 0.1374	LR: 0.004000
Training Epoch: 34 [4864/47500]	Loss: 0.1247	LR: 0.004000
Training Epoch: 34 [5120/47500]	Loss: 0.1286	LR: 0.004000
Training Epoch: 34 [5376/47500]	Loss: 0.1263	LR: 0.004000
Training Epoch: 34 [5632/47500]	Loss: 0.1304	LR: 0.004000
Training Epoch: 34 [5888/47500]	Loss: 0.1131	LR: 0.004000
Training Epoch: 34 [6144/47500]	Loss: 0.0967	LR: 0.004000
Training Epoch: 34 [6400/47500]	Loss: 0.1371	LR: 0.004000
Training Epoch: 34 [6656/47500]	Loss: 0.1786	LR: 0.004000
Training Epoch: 34 [6912/47500]	Loss: 0.1418	LR: 0.004000
Training Epoch: 34 [7168/47500]	Loss: 0.1241	LR: 0.004000
Training Epoch: 34 [7424/47500]	Loss: 0.1441	LR: 0.004000
Training Epoch: 34 [7680/47500]	Loss: 0.0885	LR: 0.004000
Training Epoch: 34 [7936/47500]	Loss: 0.1531	LR: 0.004000
Training Epoch: 34 [8192/47500]	Loss: 0.1178	LR: 0.004000
Training Epoch: 34 [8448/47500]	Loss: 0.2086	LR: 0.004000
Training Epoch: 34 [8704/47500]	Loss: 0.1358	LR: 0.004000
Training Epoch: 34 [8960/47500]	Loss: 0.1708	LR: 0.004000
Training Epoch: 34 [9216/47500]	Loss: 0.1232	LR: 0.004000
Training Epoch: 34 [9472/47500]	Loss: 0.1341	LR: 0.004000
Training Epoch: 34 [9728/47500]	Loss: 0.1577	LR: 0.004000
Training Epoch: 34 [9984/47500]	Loss: 0.1543	LR: 0.004000
Training Epoch: 34 [10240/47500]	Loss: 0.0939	LR: 0.004000
Training Epoch: 34 [10496/47500]	Loss: 0.1189	LR: 0.004000
Training Epoch: 34 [10752/47500]	Loss: 0.1038	LR: 0.004000
Training Epoch: 34 [11008/47500]	Loss: 0.1320	LR: 0.004000
Training Epoch: 34 [11264/47500]	Loss: 0.1111	LR: 0.004000
Training Epoch: 34 [11520/47500]	Loss: 0.1445	LR: 0.004000
Training Epoch: 34 [11776/47500]	Loss: 0.1076	LR: 0.004000
Training Epoch: 34 [12032/47500]	Loss: 0.0919	LR: 0.004000
Training Epoch: 34 [12288/47500]	Loss: 0.1211	LR: 0.004000
Training Epoch: 34 [12544/47500]	Loss: 0.1160	LR: 0.004000
Training Epoch: 34 [12800/47500]	Loss: 0.0943	LR: 0.004000
Training Epoch: 34 [13056/47500]	Loss: 0.0983	LR: 0.004000
Training Epoch: 34 [13312/47500]	Loss: 0.1792	LR: 0.004000
Training Epoch: 34 [13568/47500]	Loss: 0.1086	LR: 0.004000
Training Epoch: 34 [13824/47500]	Loss: 0.2114	LR: 0.004000
Training Epoch: 34 [14080/47500]	Loss: 0.0838	LR: 0.004000
Training Epoch: 34 [14336/47500]	Loss: 0.1322	LR: 0.004000
Training Epoch: 34 [14592/47500]	Loss: 0.1253	LR: 0.004000
Training Epoch: 34 [14848/47500]	Loss: 0.1750	LR: 0.004000
Training Epoch: 34 [15104/47500]	Loss: 0.1173	LR: 0.004000
Training Epoch: 34 [15360/47500]	Loss: 0.1568	LR: 0.004000
Training Epoch: 34 [15616/47500]	Loss: 0.1659	LR: 0.004000
Training Epoch: 34 [15872/47500]	Loss: 0.0920	LR: 0.004000
Training Epoch: 34 [16128/47500]	Loss: 0.1605	LR: 0.004000
Training Epoch: 34 [16384/47500]	Loss: 0.1093	LR: 0.004000
Training Epoch: 34 [16640/47500]	Loss: 0.1426	LR: 0.004000
Training Epoch: 34 [16896/47500]	Loss: 0.1225	LR: 0.004000
Training Epoch: 34 [17152/47500]	Loss: 0.0974	LR: 0.004000
Training Epoch: 34 [17408/47500]	Loss: 0.0850	LR: 0.004000
Training Epoch: 34 [17664/47500]	Loss: 0.1381	LR: 0.004000
Training Epoch: 34 [17920/47500]	Loss: 0.1131	LR: 0.004000
Training Epoch: 34 [18176/47500]	Loss: 0.1776	LR: 0.004000
Training Epoch: 34 [18432/47500]	Loss: 0.1421	LR: 0.004000
Training Epoch: 34 [18688/47500]	Loss: 0.1998	LR: 0.004000
Training Epoch: 34 [18944/47500]	Loss: 0.1594	LR: 0.004000
Training Epoch: 34 [19200/47500]	Loss: 0.1297	LR: 0.004000
Training Epoch: 34 [19456/47500]	Loss: 0.1497	LR: 0.004000
Training Epoch: 34 [19712/47500]	Loss: 0.0830	LR: 0.004000
Training Epoch: 34 [19968/47500]	Loss: 0.1371	LR: 0.004000
Training Epoch: 34 [20224/47500]	Loss: 0.1404	LR: 0.004000
Training Epoch: 34 [20480/47500]	Loss: 0.1273	LR: 0.004000
Training Epoch: 34 [20736/47500]	Loss: 0.1842	LR: 0.004000
Training Epoch: 34 [20992/47500]	Loss: 0.1381	LR: 0.004000
Training Epoch: 34 [21248/47500]	Loss: 0.1357	LR: 0.004000
Training Epoch: 34 [21504/47500]	Loss: 0.1429	LR: 0.004000
Training Epoch: 34 [21760/47500]	Loss: 0.1416	LR: 0.004000
Training Epoch: 34 [22016/47500]	Loss: 0.1163	LR: 0.004000
Training Epoch: 34 [22272/47500]	Loss: 0.2259	LR: 0.004000
Training Epoch: 34 [22528/47500]	Loss: 0.1342	LR: 0.004000
Training Epoch: 34 [22784/47500]	Loss: 0.1216	LR: 0.004000
Training Epoch: 34 [23040/47500]	Loss: 0.1088	LR: 0.004000
Training Epoch: 34 [23296/47500]	Loss: 0.1735	LR: 0.004000
Training Epoch: 34 [23552/47500]	Loss: 0.1677	LR: 0.004000
Training Epoch: 34 [23808/47500]	Loss: 0.1107	LR: 0.004000
Training Epoch: 34 [24064/47500]	Loss: 0.1663	LR: 0.004000
Training Epoch: 34 [24320/47500]	Loss: 0.1924	LR: 0.004000
Training Epoch: 34 [24576/47500]	Loss: 0.1608	LR: 0.004000
Training Epoch: 34 [24832/47500]	Loss: 0.1257	LR: 0.004000
Training Epoch: 34 [25088/47500]	Loss: 0.1136	LR: 0.004000
Training Epoch: 34 [25344/47500]	Loss: 0.1333	LR: 0.004000
Training Epoch: 34 [25600/47500]	Loss: 0.1564	LR: 0.004000
Training Epoch: 34 [25856/47500]	Loss: 0.1126	LR: 0.004000
Training Epoch: 34 [26112/47500]	Loss: 0.1336	LR: 0.004000
Training Epoch: 34 [26368/47500]	Loss: 0.1077	LR: 0.004000
Training Epoch: 34 [26624/47500]	Loss: 0.1504	LR: 0.004000
Training Epoch: 34 [26880/47500]	Loss: 0.1343	LR: 0.004000
Training Epoch: 34 [27136/47500]	Loss: 0.1181	LR: 0.004000
Training Epoch: 34 [27392/47500]	Loss: 0.1463	LR: 0.004000
Training Epoch: 34 [27648/47500]	Loss: 0.1501	LR: 0.004000
Training Epoch: 34 [27904/47500]	Loss: 0.1546	LR: 0.004000
Training Epoch: 34 [28160/47500]	Loss: 0.1188	LR: 0.004000
Training Epoch: 34 [28416/47500]	Loss: 0.1828	LR: 0.004000
Training Epoch: 34 [28672/47500]	Loss: 0.1491	LR: 0.004000
Training Epoch: 34 [28928/47500]	Loss: 0.1214	LR: 0.004000
Training Epoch: 34 [29184/47500]	Loss: 0.1272	LR: 0.004000
Training Epoch: 34 [29440/47500]	Loss: 0.1407	LR: 0.004000
Training Epoch: 34 [29696/47500]	Loss: 0.1235	LR: 0.004000
Training Epoch: 34 [29952/47500]	Loss: 0.1060	LR: 0.004000
Training Epoch: 34 [30208/47500]	Loss: 0.1135	LR: 0.004000
Training Epoch: 34 [30464/47500]	Loss: 0.1359	LR: 0.004000
Training Epoch: 34 [30720/47500]	Loss: 0.1282	LR: 0.004000
Training Epoch: 34 [30976/47500]	Loss: 0.1218	LR: 0.004000
Training Epoch: 34 [31232/47500]	Loss: 0.1257	LR: 0.004000
Training Epoch: 34 [31488/47500]	Loss: 0.1250	LR: 0.004000
Training Epoch: 34 [31744/47500]	Loss: 0.1462	LR: 0.004000
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Training Epoch: 34 [42496/47500]	Loss: 0.1195	LR: 0.004000
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Training Epoch: 34 [43008/47500]	Loss: 0.1270	LR: 0.004000
Training Epoch: 34 [43264/47500]	Loss: 0.1022	LR: 0.004000
Training Epoch: 34 [43520/47500]	Loss: 0.0868	LR: 0.004000
Training Epoch: 34 [43776/47500]	Loss: 0.1438	LR: 0.004000
Training Epoch: 34 [44032/47500]	Loss: 0.1385	LR: 0.004000
Training Epoch: 34 [44288/47500]	Loss: 0.0772	LR: 0.004000
Training Epoch: 34 [44544/47500]	Loss: 0.1632	LR: 0.004000
Training Epoch: 34 [44800/47500]	Loss: 0.1105	LR: 0.004000
Training Epoch: 34 [45056/47500]	Loss: 0.1009	LR: 0.004000
Training Epoch: 34 [45312/47500]	Loss: 0.1385	LR: 0.004000
Training Epoch: 34 [45568/47500]	Loss: 0.1401	LR: 0.004000
Training Epoch: 34 [45824/47500]	Loss: 0.1482	LR: 0.004000
Training Epoch: 34 [46080/47500]	Loss: 0.1960	LR: 0.004000
Training Epoch: 34 [46336/47500]	Loss: 0.1393	LR: 0.004000
Training Epoch: 34 [46592/47500]	Loss: 0.1598	LR: 0.004000
Training Epoch: 34 [46848/47500]	Loss: 0.1431	LR: 0.004000
Training Epoch: 34 [47104/47500]	Loss: 0.1378	LR: 0.004000
Training Epoch: 34 [47360/47500]	Loss: 0.1094	LR: 0.004000
Training Epoch: 34 [47500/47500]	Loss: 0.1790	LR: 0.004000
Epoch 34 - Average Train Loss: 0.1335, Train Accuracy: 0.9604
Epoch 34 training time consumed: 28.38s
Evaluating Network.....
Test set: Epoch: 34, Average loss: 0.0028, Accuracy: 0.8087, Time consumed:0.93s
Training Epoch: 35 [256/47500]	Loss: 0.1048	LR: 0.000800
Training Epoch: 35 [512/47500]	Loss: 0.1607	LR: 0.000800
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Training Epoch: 35 [1024/47500]	Loss: 0.1119	LR: 0.000800
Training Epoch: 35 [1280/47500]	Loss: 0.0821	LR: 0.000800
Training Epoch: 35 [1536/47500]	Loss: 0.1059	LR: 0.000800
Training Epoch: 35 [1792/47500]	Loss: 0.1508	LR: 0.000800
Training Epoch: 35 [2048/47500]	Loss: 0.0908	LR: 0.000800
Training Epoch: 35 [2304/47500]	Loss: 0.1542	LR: 0.000800
Training Epoch: 35 [2560/47500]	Loss: 0.1694	LR: 0.000800
Training Epoch: 35 [2816/47500]	Loss: 0.1502	LR: 0.000800
Training Epoch: 35 [3072/47500]	Loss: 0.1467	LR: 0.000800
Training Epoch: 35 [3328/47500]	Loss: 0.0906	LR: 0.000800
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Training Epoch: 35 [5376/47500]	Loss: 0.1217	LR: 0.000800
Training Epoch: 35 [5632/47500]	Loss: 0.0653	LR: 0.000800
Training Epoch: 35 [5888/47500]	Loss: 0.0896	LR: 0.000800
Training Epoch: 35 [6144/47500]	Loss: 0.1209	LR: 0.000800
Training Epoch: 35 [6400/47500]	Loss: 0.1037	LR: 0.000800
Training Epoch: 35 [6656/47500]	Loss: 0.1191	LR: 0.000800
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Training Epoch: 35 [7168/47500]	Loss: 0.1010	LR: 0.000800
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Training Epoch: 35 [8448/47500]	Loss: 0.1231	LR: 0.000800
Training Epoch: 35 [8704/47500]	Loss: 0.1153	LR: 0.000800
Training Epoch: 35 [8960/47500]	Loss: 0.1298	LR: 0.000800
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Training Epoch: 35 [9472/47500]	Loss: 0.1141	LR: 0.000800
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Training Epoch: 35 [44032/47500]	Loss: 0.1142	LR: 0.000800
Training Epoch: 35 [44288/47500]	Loss: 0.0773	LR: 0.000800
Training Epoch: 35 [44544/47500]	Loss: 0.1361	LR: 0.000800
Training Epoch: 35 [44800/47500]	Loss: 0.1060	LR: 0.000800
Training Epoch: 35 [45056/47500]	Loss: 0.1304	LR: 0.000800
Training Epoch: 35 [45312/47500]	Loss: 0.1192	LR: 0.000800
Training Epoch: 35 [45568/47500]	Loss: 0.1240	LR: 0.000800
Training Epoch: 35 [45824/47500]	Loss: 0.0810	LR: 0.000800
Training Epoch: 35 [46080/47500]	Loss: 0.1228	LR: 0.000800
Training Epoch: 35 [46336/47500]	Loss: 0.1055	LR: 0.000800
Training Epoch: 35 [46592/47500]	Loss: 0.0995	LR: 0.000800
Training Epoch: 35 [46848/47500]	Loss: 0.0790	LR: 0.000800
Training Epoch: 35 [47104/47500]	Loss: 0.0711	LR: 0.000800
Training Epoch: 35 [47360/47500]	Loss: 0.0963	LR: 0.000800
Training Epoch: 35 [47500/47500]	Loss: 0.1240	LR: 0.000800
Epoch 35 - Average Train Loss: 0.1177, Train Accuracy: 0.9671
Epoch 35 training time consumed: 28.42s
Evaluating Network.....
Test set: Epoch: 35, Average loss: 0.0028, Accuracy: 0.8110, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_20h_34m_46s/ResNet18-Cifar20-seed6-ret50-35-best.pth
Training Epoch: 36 [256/47500]	Loss: 0.0827	LR: 0.000800
Training Epoch: 36 [512/47500]	Loss: 0.1064	LR: 0.000800
Training Epoch: 36 [768/47500]	Loss: 0.0870	LR: 0.000800
Training Epoch: 36 [1024/47500]	Loss: 0.0846	LR: 0.000800
Training Epoch: 36 [1280/47500]	Loss: 0.1113	LR: 0.000800
Training Epoch: 36 [1536/47500]	Loss: 0.0871	LR: 0.000800
Training Epoch: 36 [1792/47500]	Loss: 0.0975	LR: 0.000800
Training Epoch: 36 [2048/47500]	Loss: 0.1141	LR: 0.000800
Training Epoch: 36 [2304/47500]	Loss: 0.1384	LR: 0.000800
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Training Epoch: 36 [45312/47500]	Loss: 0.1016	LR: 0.000800
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Training Epoch: 36 [46080/47500]	Loss: 0.1102	LR: 0.000800
Training Epoch: 36 [46336/47500]	Loss: 0.1505	LR: 0.000800
Training Epoch: 36 [46592/47500]	Loss: 0.0897	LR: 0.000800
Training Epoch: 36 [46848/47500]	Loss: 0.1275	LR: 0.000800
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Training Epoch: 36 [47360/47500]	Loss: 0.1205	LR: 0.000800
Training Epoch: 36 [47500/47500]	Loss: 0.0826	LR: 0.000800
Epoch 36 - Average Train Loss: 0.1103, Train Accuracy: 0.9689
Epoch 36 training time consumed: 28.51s
Evaluating Network.....
Test set: Epoch: 36, Average loss: 0.0028, Accuracy: 0.8114, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_20h_34m_46s/ResNet18-Cifar20-seed6-ret50-36-best.pth
Training Epoch: 37 [256/47500]	Loss: 0.1312	LR: 0.000800
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Training Epoch: 37 [42496/47500]	Loss: 0.0831	LR: 0.000800
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Training Epoch: 37 [43264/47500]	Loss: 0.1331	LR: 0.000800
Training Epoch: 37 [43520/47500]	Loss: 0.0977	LR: 0.000800
Training Epoch: 37 [43776/47500]	Loss: 0.1009	LR: 0.000800
Training Epoch: 37 [44032/47500]	Loss: 0.1117	LR: 0.000800
Training Epoch: 37 [44288/47500]	Loss: 0.0784	LR: 0.000800
Training Epoch: 37 [44544/47500]	Loss: 0.0916	LR: 0.000800
Training Epoch: 37 [44800/47500]	Loss: 0.0843	LR: 0.000800
Training Epoch: 37 [45056/47500]	Loss: 0.1399	LR: 0.000800
Training Epoch: 37 [45312/47500]	Loss: 0.0905	LR: 0.000800
Training Epoch: 37 [45568/47500]	Loss: 0.1268	LR: 0.000800
Training Epoch: 37 [45824/47500]	Loss: 0.1085	LR: 0.000800
Training Epoch: 37 [46080/47500]	Loss: 0.0961	LR: 0.000800
Training Epoch: 37 [46336/47500]	Loss: 0.1450	LR: 0.000800
Training Epoch: 37 [46592/47500]	Loss: 0.1061	LR: 0.000800
Training Epoch: 37 [46848/47500]	Loss: 0.1038	LR: 0.000800
Training Epoch: 37 [47104/47500]	Loss: 0.1239	LR: 0.000800
Training Epoch: 37 [47360/47500]	Loss: 0.1245	LR: 0.000800
Training Epoch: 37 [47500/47500]	Loss: 0.1258	LR: 0.000800
Epoch 37 - Average Train Loss: 0.1095, Train Accuracy: 0.9691
Epoch 37 training time consumed: 29.02s
Evaluating Network.....
Test set: Epoch: 37, Average loss: 0.0028, Accuracy: 0.8127, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_20h_34m_46s/ResNet18-Cifar20-seed6-ret50-37-best.pth
Training Epoch: 38 [256/47500]	Loss: 0.1225	LR: 0.000800
Training Epoch: 38 [512/47500]	Loss: 0.1231	LR: 0.000800
Training Epoch: 38 [768/47500]	Loss: 0.0879	LR: 0.000800
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Training Epoch: 38 [1280/47500]	Loss: 0.1036	LR: 0.000800
Training Epoch: 38 [1536/47500]	Loss: 0.1139	LR: 0.000800
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Training Epoch: 38 [44032/47500]	Loss: 0.1106	LR: 0.000800
Training Epoch: 38 [44288/47500]	Loss: 0.0936	LR: 0.000800
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Training Epoch: 38 [44800/47500]	Loss: 0.1400	LR: 0.000800
Training Epoch: 38 [45056/47500]	Loss: 0.1250	LR: 0.000800
Training Epoch: 38 [45312/47500]	Loss: 0.0866	LR: 0.000800
Training Epoch: 38 [45568/47500]	Loss: 0.1171	LR: 0.000800
Training Epoch: 38 [45824/47500]	Loss: 0.1146	LR: 0.000800
Training Epoch: 38 [46080/47500]	Loss: 0.1008	LR: 0.000800
Training Epoch: 38 [46336/47500]	Loss: 0.0988	LR: 0.000800
Training Epoch: 38 [46592/47500]	Loss: 0.1098	LR: 0.000800
Training Epoch: 38 [46848/47500]	Loss: 0.0839	LR: 0.000800
Training Epoch: 38 [47104/47500]	Loss: 0.0921	LR: 0.000800
Training Epoch: 38 [47360/47500]	Loss: 0.0676	LR: 0.000800
Training Epoch: 38 [47500/47500]	Loss: 0.1543	LR: 0.000800
Epoch 38 - Average Train Loss: 0.1054, Train Accuracy: 0.9703
Epoch 38 training time consumed: 28.42s
Evaluating Network.....
Test set: Epoch: 38, Average loss: 0.0028, Accuracy: 0.8132, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_20h_34m_46s/ResNet18-Cifar20-seed6-ret50-38-best.pth
Training Epoch: 39 [256/47500]	Loss: 0.1142	LR: 0.000800
Training Epoch: 39 [512/47500]	Loss: 0.0939	LR: 0.000800
Training Epoch: 39 [768/47500]	Loss: 0.1305	LR: 0.000800
Training Epoch: 39 [1024/47500]	Loss: 0.1296	LR: 0.000800
Training Epoch: 39 [1280/47500]	Loss: 0.1315	LR: 0.000800
Training Epoch: 39 [1536/47500]	Loss: 0.0773	LR: 0.000800
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Training Epoch: 39 [47360/47500]	Loss: 0.0999	LR: 0.000800
Training Epoch: 39 [47500/47500]	Loss: 0.0626	LR: 0.000800
Epoch 39 - Average Train Loss: 0.1017, Train Accuracy: 0.9707
Epoch 39 training time consumed: 28.44s
Evaluating Network.....
Test set: Epoch: 39, Average loss: 0.0028, Accuracy: 0.8136, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_20h_34m_46s/ResNet18-Cifar20-seed6-ret50-39-best.pth
Training Epoch: 40 [256/47500]	Loss: 0.1121	LR: 0.000800
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Training Epoch: 40 [36864/47500]	Loss: 0.1065	LR: 0.000800
Training Epoch: 40 [37120/47500]	Loss: 0.0920	LR: 0.000800
Training Epoch: 40 [37376/47500]	Loss: 0.1283	LR: 0.000800
Training Epoch: 40 [37632/47500]	Loss: 0.0956	LR: 0.000800
Training Epoch: 40 [37888/47500]	Loss: 0.1243	LR: 0.000800
Training Epoch: 40 [38144/47500]	Loss: 0.1101	LR: 0.000800
Training Epoch: 40 [38400/47500]	Loss: 0.0931	LR: 0.000800
Training Epoch: 40 [38656/47500]	Loss: 0.1041	LR: 0.000800
Training Epoch: 40 [38912/47500]	Loss: 0.1314	LR: 0.000800
Training Epoch: 40 [39168/47500]	Loss: 0.1032	LR: 0.000800
Training Epoch: 40 [39424/47500]	Loss: 0.0614	LR: 0.000800
Training Epoch: 40 [39680/47500]	Loss: 0.1134	LR: 0.000800
Training Epoch: 40 [39936/47500]	Loss: 0.1046	LR: 0.000800
Training Epoch: 40 [40192/47500]	Loss: 0.1048	LR: 0.000800
Training Epoch: 40 [40448/47500]	Loss: 0.1332	LR: 0.000800
Training Epoch: 40 [40704/47500]	Loss: 0.0931	LR: 0.000800
Training Epoch: 40 [40960/47500]	Loss: 0.1370	LR: 0.000800
Training Epoch: 40 [41216/47500]	Loss: 0.1398	LR: 0.000800
Training Epoch: 40 [41472/47500]	Loss: 0.1139	LR: 0.000800
Training Epoch: 40 [41728/47500]	Loss: 0.1067	LR: 0.000800
Training Epoch: 40 [41984/47500]	Loss: 0.1098	LR: 0.000800
Training Epoch: 40 [42240/47500]	Loss: 0.1147	LR: 0.000800
Training Epoch: 40 [42496/47500]	Loss: 0.0893	LR: 0.000800
Training Epoch: 40 [42752/47500]	Loss: 0.0792	LR: 0.000800
Training Epoch: 40 [43008/47500]	Loss: 0.1275	LR: 0.000800
Training Epoch: 40 [43264/47500]	Loss: 0.0961	LR: 0.000800
Training Epoch: 40 [43520/47500]	Loss: 0.0787	LR: 0.000800
Training Epoch: 40 [43776/47500]	Loss: 0.1082	LR: 0.000800
Training Epoch: 40 [44032/47500]	Loss: 0.0934	LR: 0.000800
Training Epoch: 40 [44288/47500]	Loss: 0.0942	LR: 0.000800
Training Epoch: 40 [44544/47500]	Loss: 0.1343	LR: 0.000800
Training Epoch: 40 [44800/47500]	Loss: 0.0984	LR: 0.000800
Training Epoch: 40 [45056/47500]	Loss: 0.0919	LR: 0.000800
Training Epoch: 40 [45312/47500]	Loss: 0.0968	LR: 0.000800
Training Epoch: 40 [45568/47500]	Loss: 0.0888	LR: 0.000800
Training Epoch: 40 [45824/47500]	Loss: 0.0913	LR: 0.000800
Training Epoch: 40 [46080/47500]	Loss: 0.1162	LR: 0.000800
Training Epoch: 40 [46336/47500]	Loss: 0.0810	LR: 0.000800
Training Epoch: 40 [46592/47500]	Loss: 0.1510	LR: 0.000800
Training Epoch: 40 [46848/47500]	Loss: 0.0942	LR: 0.000800
Training Epoch: 40 [47104/47500]	Loss: 0.1031	LR: 0.000800
Training Epoch: 40 [47360/47500]	Loss: 0.1445	LR: 0.000800
Training Epoch: 40 [47500/47500]	Loss: 0.0764	LR: 0.000800
Epoch 40 - Average Train Loss: 0.1034, Train Accuracy: 0.9704
Epoch 40 training time consumed: 28.51s
Evaluating Network.....
Test set: Epoch: 40, Average loss: 0.0028, Accuracy: 0.8116, Time consumed:0.90s
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  47500
Forget Train Dl:  2500
Retain Valid Dl:  47500
Forget Valid Dl:  2500
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 2500 samples
Set1 Distribution: 2500 samples
Set2 Distribution: 2500 samples
Set1 Distribution: 2500 samples
Set2 Distribution: 2500 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 81.30859375
Retain Accuracy: 97.51596069335938
Zero-Retain Forget (ZRF): 0.9018959999084473
Membership Inference Attack (MIA): 0.606
Forget vs Retain Membership Inference Attack (MIA): 0.562
Forget vs Test Membership Inference Attack (MIA): 0.518
Test vs Retain Membership Inference Attack (MIA): 0.57225
Train vs Test Membership Inference Attack (MIA): 0.60825
Forget Set Accuracy (Df): 79.91868591308594
Method Execution Time: 2132.29 seconds
