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

📌 S Forget class distribution for seed 10:
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: 3.0075	LR: 0.000000
Training Epoch: 1 [512/47500]	Loss: 3.0301	LR: 0.000538
Training Epoch: 1 [768/47500]	Loss: 2.9982	LR: 0.001075
Training Epoch: 1 [1024/47500]	Loss: 3.0176	LR: 0.001613
Training Epoch: 1 [1280/47500]	Loss: 3.0056	LR: 0.002151
Training Epoch: 1 [1536/47500]	Loss: 3.0046	LR: 0.002688
Training Epoch: 1 [1792/47500]	Loss: 3.0117	LR: 0.003226
Training Epoch: 1 [2048/47500]	Loss: 2.9828	LR: 0.003763
Training Epoch: 1 [2304/47500]	Loss: 2.9724	LR: 0.004301
Training Epoch: 1 [2560/47500]	Loss: 2.9634	LR: 0.004839
Training Epoch: 1 [2816/47500]	Loss: 2.9610	LR: 0.005376
Training Epoch: 1 [3072/47500]	Loss: 2.9345	LR: 0.005914
Training Epoch: 1 [3328/47500]	Loss: 2.9422	LR: 0.006452
Training Epoch: 1 [3584/47500]	Loss: 2.9242	LR: 0.006989
Training Epoch: 1 [3840/47500]	Loss: 2.9029	LR: 0.007527
Training Epoch: 1 [4096/47500]	Loss: 2.8886	LR: 0.008065
Training Epoch: 1 [4352/47500]	Loss: 2.8524	LR: 0.008602
Training Epoch: 1 [4608/47500]	Loss: 2.8472	LR: 0.009140
Training Epoch: 1 [4864/47500]	Loss: 2.8009	LR: 0.009677
Training Epoch: 1 [5120/47500]	Loss: 2.8246	LR: 0.010215
Training Epoch: 1 [5376/47500]	Loss: 2.8104	LR: 0.010753
Training Epoch: 1 [5632/47500]	Loss: 2.8233	LR: 0.011290
Training Epoch: 1 [5888/47500]	Loss: 2.8080	LR: 0.011828
Training Epoch: 1 [6144/47500]	Loss: 2.7609	LR: 0.012366
Training Epoch: 1 [6400/47500]	Loss: 2.7788	LR: 0.012903
Training Epoch: 1 [6656/47500]	Loss: 2.8048	LR: 0.013441
Training Epoch: 1 [6912/47500]	Loss: 2.6884	LR: 0.013978
Training Epoch: 1 [7168/47500]	Loss: 2.7668	LR: 0.014516
Training Epoch: 1 [7424/47500]	Loss: 2.6796	LR: 0.015054
Training Epoch: 1 [7680/47500]	Loss: 2.7248	LR: 0.015591
Training Epoch: 1 [7936/47500]	Loss: 2.6644	LR: 0.016129
Training Epoch: 1 [8192/47500]	Loss: 2.6149	LR: 0.016667
Training Epoch: 1 [8448/47500]	Loss: 2.7037	LR: 0.017204
Training Epoch: 1 [8704/47500]	Loss: 2.6870	LR: 0.017742
Training Epoch: 1 [8960/47500]	Loss: 2.6199	LR: 0.018280
Training Epoch: 1 [9216/47500]	Loss: 2.6776	LR: 0.018817
Training Epoch: 1 [9472/47500]	Loss: 2.6579	LR: 0.019355
Training Epoch: 1 [9728/47500]	Loss: 2.6222	LR: 0.019892
Training Epoch: 1 [9984/47500]	Loss: 2.5922	LR: 0.020430
Training Epoch: 1 [10240/47500]	Loss: 2.6882	LR: 0.020968
Training Epoch: 1 [10496/47500]	Loss: 2.6015	LR: 0.021505
Training Epoch: 1 [10752/47500]	Loss: 2.6162	LR: 0.022043
Training Epoch: 1 [11008/47500]	Loss: 2.5930	LR: 0.022581
Training Epoch: 1 [11264/47500]	Loss: 2.5064	LR: 0.023118
Training Epoch: 1 [11520/47500]	Loss: 2.6378	LR: 0.023656
Training Epoch: 1 [11776/47500]	Loss: 2.5735	LR: 0.024194
Training Epoch: 1 [12032/47500]	Loss: 2.6190	LR: 0.024731
Training Epoch: 1 [12288/47500]	Loss: 2.5021	LR: 0.025269
Training Epoch: 1 [12544/47500]	Loss: 2.5438	LR: 0.025806
Training Epoch: 1 [12800/47500]	Loss: 2.4712	LR: 0.026344
Training Epoch: 1 [13056/47500]	Loss: 2.4858	LR: 0.026882
Training Epoch: 1 [13312/47500]	Loss: 2.6391	LR: 0.027419
Training Epoch: 1 [13568/47500]	Loss: 2.5694	LR: 0.027957
Training Epoch: 1 [13824/47500]	Loss: 2.5239	LR: 0.028495
Training Epoch: 1 [14080/47500]	Loss: 2.6584	LR: 0.029032
Training Epoch: 1 [14336/47500]	Loss: 2.5226	LR: 0.029570
Training Epoch: 1 [14592/47500]	Loss: 2.5946	LR: 0.030108
Training Epoch: 1 [14848/47500]	Loss: 2.4323	LR: 0.030645
Training Epoch: 1 [15104/47500]	Loss: 2.5229	LR: 0.031183
Training Epoch: 1 [15360/47500]	Loss: 2.5527	LR: 0.031720
Training Epoch: 1 [15616/47500]	Loss: 2.4878	LR: 0.032258
Training Epoch: 1 [15872/47500]	Loss: 2.4795	LR: 0.032796
Training Epoch: 1 [16128/47500]	Loss: 2.5381	LR: 0.033333
Training Epoch: 1 [16384/47500]	Loss: 2.5130	LR: 0.033871
Training Epoch: 1 [16640/47500]	Loss: 2.5668	LR: 0.034409
Training Epoch: 1 [16896/47500]	Loss: 2.5286	LR: 0.034946
Training Epoch: 1 [17152/47500]	Loss: 2.4775	LR: 0.035484
Training Epoch: 1 [17408/47500]	Loss: 2.4478	LR: 0.036022
Training Epoch: 1 [17664/47500]	Loss: 2.5010	LR: 0.036559
Training Epoch: 1 [17920/47500]	Loss: 2.5324	LR: 0.037097
Training Epoch: 1 [18176/47500]	Loss: 2.4098	LR: 0.037634
Training Epoch: 1 [18432/47500]	Loss: 2.4874	LR: 0.038172
Training Epoch: 1 [18688/47500]	Loss: 2.4184	LR: 0.038710
Training Epoch: 1 [18944/47500]	Loss: 2.5200	LR: 0.039247
Training Epoch: 1 [19200/47500]	Loss: 2.4293	LR: 0.039785
Training Epoch: 1 [19456/47500]	Loss: 2.5233	LR: 0.040323
Training Epoch: 1 [19712/47500]	Loss: 2.4098	LR: 0.040860
Training Epoch: 1 [19968/47500]	Loss: 2.4588	LR: 0.041398
Training Epoch: 1 [20224/47500]	Loss: 2.4467	LR: 0.041935
Training Epoch: 1 [20480/47500]	Loss: 2.4911	LR: 0.042473
Training Epoch: 1 [20736/47500]	Loss: 2.5322	LR: 0.043011
Training Epoch: 1 [20992/47500]	Loss: 2.4769	LR: 0.043548
Training Epoch: 1 [21248/47500]	Loss: 2.4952	LR: 0.044086
Training Epoch: 1 [21504/47500]	Loss: 2.4408	LR: 0.044624
Training Epoch: 1 [21760/47500]	Loss: 2.5023	LR: 0.045161
Training Epoch: 1 [22016/47500]	Loss: 2.5185	LR: 0.045699
Training Epoch: 1 [22272/47500]	Loss: 2.4525	LR: 0.046237
Training Epoch: 1 [22528/47500]	Loss: 2.4046	LR: 0.046774
Training Epoch: 1 [22784/47500]	Loss: 2.4664	LR: 0.047312
Training Epoch: 1 [23040/47500]	Loss: 2.3919	LR: 0.047849
Training Epoch: 1 [23296/47500]	Loss: 2.4872	LR: 0.048387
Training Epoch: 1 [23552/47500]	Loss: 2.4851	LR: 0.048925
Training Epoch: 1 [23808/47500]	Loss: 2.4047	LR: 0.049462
Training Epoch: 1 [24064/47500]	Loss: 2.4783	LR: 0.050000
Training Epoch: 1 [24320/47500]	Loss: 2.5710	LR: 0.050538
Training Epoch: 1 [24576/47500]	Loss: 2.3616	LR: 0.051075
Training Epoch: 1 [24832/47500]	Loss: 2.5269	LR: 0.051613
Training Epoch: 1 [25088/47500]	Loss: 2.4566	LR: 0.052151
Training Epoch: 1 [25344/47500]	Loss: 2.4680	LR: 0.052688
Training Epoch: 1 [25600/47500]	Loss: 2.4313	LR: 0.053226
Training Epoch: 1 [25856/47500]	Loss: 2.3900	LR: 0.053763
Training Epoch: 1 [26112/47500]	Loss: 2.4926	LR: 0.054301
Training Epoch: 1 [26368/47500]	Loss: 2.4098	LR: 0.054839
Training Epoch: 1 [26624/47500]	Loss: 2.5990	LR: 0.055376
Training Epoch: 1 [26880/47500]	Loss: 2.4357	LR: 0.055914
Training Epoch: 1 [27136/47500]	Loss: 2.4247	LR: 0.056452
Training Epoch: 1 [27392/47500]	Loss: 2.4856	LR: 0.056989
Training Epoch: 1 [27648/47500]	Loss: 2.2832	LR: 0.057527
Training Epoch: 1 [27904/47500]	Loss: 2.4616	LR: 0.058065
Training Epoch: 1 [28160/47500]	Loss: 2.4398	LR: 0.058602
Training Epoch: 1 [28416/47500]	Loss: 2.3478	LR: 0.059140
Training Epoch: 1 [28672/47500]	Loss: 2.4030	LR: 0.059677
Training Epoch: 1 [28928/47500]	Loss: 2.4680	LR: 0.060215
Training Epoch: 1 [29184/47500]	Loss: 2.4464	LR: 0.060753
Training Epoch: 1 [29440/47500]	Loss: 2.3503	LR: 0.061290
Training Epoch: 1 [29696/47500]	Loss: 2.4526	LR: 0.061828
Training Epoch: 1 [29952/47500]	Loss: 2.4783	LR: 0.062366
Training Epoch: 1 [30208/47500]	Loss: 2.3330	LR: 0.062903
Training Epoch: 1 [30464/47500]	Loss: 2.4993	LR: 0.063441
Training Epoch: 1 [30720/47500]	Loss: 2.3963	LR: 0.063978
Training Epoch: 1 [30976/47500]	Loss: 2.3651	LR: 0.064516
Training Epoch: 1 [31232/47500]	Loss: 2.3533	LR: 0.065054
Training Epoch: 1 [31488/47500]	Loss: 2.3342	LR: 0.065591
Training Epoch: 1 [31744/47500]	Loss: 2.3531	LR: 0.066129
Training Epoch: 1 [32000/47500]	Loss: 2.4164	LR: 0.066667
Training Epoch: 1 [32256/47500]	Loss: 2.4219	LR: 0.067204
Training Epoch: 1 [32512/47500]	Loss: 2.3337	LR: 0.067742
Training Epoch: 1 [32768/47500]	Loss: 2.3373	LR: 0.068280
Training Epoch: 1 [33024/47500]	Loss: 2.3531	LR: 0.068817
Training Epoch: 1 [33280/47500]	Loss: 2.3487	LR: 0.069355
Training Epoch: 1 [33536/47500]	Loss: 2.4552	LR: 0.069892
Training Epoch: 1 [33792/47500]	Loss: 2.3361	LR: 0.070430
Training Epoch: 1 [34048/47500]	Loss: 2.3758	LR: 0.070968
Training Epoch: 1 [34304/47500]	Loss: 2.3247	LR: 0.071505
Training Epoch: 1 [34560/47500]	Loss: 2.3638	LR: 0.072043
Training Epoch: 1 [34816/47500]	Loss: 2.3469	LR: 0.072581
Training Epoch: 1 [35072/47500]	Loss: 2.4938	LR: 0.073118
Training Epoch: 1 [35328/47500]	Loss: 2.4199	LR: 0.073656
Training Epoch: 1 [35584/47500]	Loss: 2.3512	LR: 0.074194
Training Epoch: 1 [35840/47500]	Loss: 2.4478	LR: 0.074731
Training Epoch: 1 [36096/47500]	Loss: 2.4330	LR: 0.075269
Training Epoch: 1 [36352/47500]	Loss: 2.4184	LR: 0.075806
Training Epoch: 1 [36608/47500]	Loss: 2.2865	LR: 0.076344
Training Epoch: 1 [36864/47500]	Loss: 2.3729	LR: 0.076882
Training Epoch: 1 [37120/47500]	Loss: 2.4222	LR: 0.077419
Training Epoch: 1 [37376/47500]	Loss: 2.3744	LR: 0.077957
Training Epoch: 1 [37632/47500]	Loss: 2.3990	LR: 0.078495
Training Epoch: 1 [37888/47500]	Loss: 2.3842	LR: 0.079032
Training Epoch: 1 [38144/47500]	Loss: 2.2511	LR: 0.079570
Training Epoch: 1 [38400/47500]	Loss: 2.2965	LR: 0.080108
Training Epoch: 1 [38656/47500]	Loss: 2.4426	LR: 0.080645
Training Epoch: 1 [38912/47500]	Loss: 2.3148	LR: 0.081183
Training Epoch: 1 [39168/47500]	Loss: 2.4475	LR: 0.081720
Training Epoch: 1 [39424/47500]	Loss: 2.3262	LR: 0.082258
Training Epoch: 1 [39680/47500]	Loss: 2.3230	LR: 0.082796
Training Epoch: 1 [39936/47500]	Loss: 2.3492	LR: 0.083333
Training Epoch: 1 [40192/47500]	Loss: 2.3327	LR: 0.083871
Training Epoch: 1 [40448/47500]	Loss: 2.3815	LR: 0.084409
Training Epoch: 1 [40704/47500]	Loss: 2.3380	LR: 0.084946
Training Epoch: 1 [40960/47500]	Loss: 2.4483	LR: 0.085484
Training Epoch: 1 [41216/47500]	Loss: 2.3665	LR: 0.086022
Training Epoch: 1 [41472/47500]	Loss: 2.3935	LR: 0.086559
Training Epoch: 1 [41728/47500]	Loss: 2.2216	LR: 0.087097
Training Epoch: 1 [41984/47500]	Loss: 2.2445	LR: 0.087634
Training Epoch: 1 [42240/47500]	Loss: 2.4819	LR: 0.088172
Training Epoch: 1 [42496/47500]	Loss: 2.3401	LR: 0.088710
Training Epoch: 1 [42752/47500]	Loss: 2.3943	LR: 0.089247
Training Epoch: 1 [43008/47500]	Loss: 2.2387	LR: 0.089785
Training Epoch: 1 [43264/47500]	Loss: 2.2621	LR: 0.090323
Training Epoch: 1 [43520/47500]	Loss: 2.2291	LR: 0.090860
Training Epoch: 1 [43776/47500]	Loss: 2.2158	LR: 0.091398
Training Epoch: 1 [44032/47500]	Loss: 2.3668	LR: 0.091935
Training Epoch: 1 [44288/47500]	Loss: 2.2428	LR: 0.092473
Training Epoch: 1 [44544/47500]	Loss: 2.2142	LR: 0.093011
Training Epoch: 1 [44800/47500]	Loss: 2.2435	LR: 0.093548
Training Epoch: 1 [45056/47500]	Loss: 2.5447	LR: 0.094086
Training Epoch: 1 [45312/47500]	Loss: 2.3266	LR: 0.094624
Training Epoch: 1 [45568/47500]	Loss: 2.2237	LR: 0.095161
Training Epoch: 1 [45824/47500]	Loss: 2.3274	LR: 0.095699
Training Epoch: 1 [46080/47500]	Loss: 2.5567	LR: 0.096237
Training Epoch: 1 [46336/47500]	Loss: 2.4090	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 2.3219	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 2.3760	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 2.2882	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 2.3569	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 2.5250	LR: 0.099462
Epoch 1 - Average Train Loss: 2.5129, Train Accuracy: 0.2234
Epoch 1 training time consumed: 26.61s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0114, Accuracy: 0.1991, Time consumed:1.07s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_00h_02m_29s/AllCNN-Cifar20-seed10-ret50-1-best.pth
Training Epoch: 2 [256/47500]	Loss: 2.3569	LR: 0.100000
Training Epoch: 2 [512/47500]	Loss: 2.3011	LR: 0.100000
Training Epoch: 2 [768/47500]	Loss: 2.2628	LR: 0.100000
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Epoch 2 - Average Train Loss: 2.1535, Train Accuracy: 0.3280
Epoch 2 training time consumed: 25.81s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0090, Accuracy: 0.3088, Time consumed:0.94s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_00h_02m_29s/AllCNN-Cifar20-seed10-ret50-2-best.pth
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Training Epoch: 3 [47500/47500]	Loss: 1.7901	LR: 0.100000
Epoch 3 - Average Train Loss: 1.9347, Train Accuracy: 0.3916
Epoch 3 training time consumed: 26.04s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0087, Accuracy: 0.3583, Time consumed:0.99s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_00h_02m_29s/AllCNN-Cifar20-seed10-ret50-3-best.pth
Training Epoch: 4 [256/47500]	Loss: 1.9013	LR: 0.100000
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Epoch 4 - Average Train Loss: 1.7620, Train Accuracy: 0.4432
Epoch 4 training time consumed: 26.20s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0087, Accuracy: 0.3623, Time consumed:0.87s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_00h_02m_29s/AllCNN-Cifar20-seed10-ret50-4-best.pth
Training Epoch: 5 [256/47500]	Loss: 1.7814	LR: 0.100000
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Epoch 5 - Average Train Loss: 1.6070, Train Accuracy: 0.4933
Epoch 5 training time consumed: 26.06s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0072, Accuracy: 0.4588, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_00h_02m_29s/AllCNN-Cifar20-seed10-ret50-5-best.pth
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Training Epoch: 6 [47500/47500]	Loss: 1.3444	LR: 0.100000
Epoch 6 - Average Train Loss: 1.4764, Train Accuracy: 0.5290
Epoch 6 training time consumed: 25.91s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0094, Accuracy: 0.3877, Time consumed:0.87s
Training Epoch: 7 [256/47500]	Loss: 1.3631	LR: 0.100000
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Training Epoch: 7 [47500/47500]	Loss: 1.1991	LR: 0.100000
Epoch 7 - Average Train Loss: 1.3696, Train Accuracy: 0.5627
Epoch 7 training time consumed: 26.00s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0067, Accuracy: 0.5026, Time consumed:0.89s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_00h_02m_29s/AllCNN-Cifar20-seed10-ret50-7-best.pth
Training Epoch: 8 [256/47500]	Loss: 1.3349	LR: 0.100000
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Epoch 8 - Average Train Loss: 1.2931, Train Accuracy: 0.5872
Epoch 8 training time consumed: 26.01s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0064, Accuracy: 0.5351, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_00h_02m_29s/AllCNN-Cifar20-seed10-ret50-8-best.pth
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Training Epoch: 9 [47500/47500]	Loss: 1.2432	LR: 0.100000
Epoch 9 - Average Train Loss: 1.2195, Train Accuracy: 0.6084
Epoch 9 training time consumed: 25.90s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0060, Accuracy: 0.5552, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_00h_02m_29s/AllCNN-Cifar20-seed10-ret50-9-best.pth
Training Epoch: 10 [256/47500]	Loss: 1.0513	LR: 0.100000
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Epoch 10 - Average Train Loss: 1.1631, Train Accuracy: 0.6292
Epoch 10 training time consumed: 25.97s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0054, Accuracy: 0.5850, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_00h_02m_29s/AllCNN-Cifar20-seed10-ret50-10-best.pth
Training Epoch: 11 [256/47500]	Loss: 1.1670	LR: 0.100000
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Training Epoch: 11 [47500/47500]	Loss: 1.1663	LR: 0.100000
Epoch 11 - Average Train Loss: 1.1149, Train Accuracy: 0.6418
Epoch 11 training time consumed: 25.97s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0053, Accuracy: 0.5962, Time consumed:0.94s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_00h_02m_29s/AllCNN-Cifar20-seed10-ret50-11-best.pth
Training Epoch: 12 [256/47500]	Loss: 0.9978	LR: 0.100000
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Training Epoch: 12 [47500/47500]	Loss: 1.0194	LR: 0.100000
Epoch 12 - Average Train Loss: 1.0696, Train Accuracy: 0.6569
Epoch 12 training time consumed: 25.81s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0057, Accuracy: 0.5856, Time consumed:0.94s
Training Epoch: 13 [256/47500]	Loss: 0.9908	LR: 0.100000
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Training Epoch: 13 [19456/47500]	Loss: 1.0881	LR: 0.100000
Training Epoch: 13 [19712/47500]	Loss: 0.9966	LR: 0.100000
Training Epoch: 13 [19968/47500]	Loss: 1.0646	LR: 0.100000
Training Epoch: 13 [20224/47500]	Loss: 1.0243	LR: 0.100000
Training Epoch: 13 [20480/47500]	Loss: 0.9733	LR: 0.100000
Training Epoch: 13 [20736/47500]	Loss: 1.1596	LR: 0.100000
Training Epoch: 13 [20992/47500]	Loss: 1.0387	LR: 0.100000
Training Epoch: 13 [21248/47500]	Loss: 1.0923	LR: 0.100000
Training Epoch: 13 [21504/47500]	Loss: 1.0620	LR: 0.100000
Training Epoch: 13 [21760/47500]	Loss: 1.1346	LR: 0.100000
Training Epoch: 13 [22016/47500]	Loss: 1.1051	LR: 0.100000
Training Epoch: 13 [22272/47500]	Loss: 1.1511	LR: 0.100000
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Training Epoch: 13 [24320/47500]	Loss: 0.9273	LR: 0.100000
Training Epoch: 13 [24576/47500]	Loss: 1.0565	LR: 0.100000
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Training Epoch: 13 [25600/47500]	Loss: 0.9817	LR: 0.100000
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Training Epoch: 13 [26368/47500]	Loss: 0.9876	LR: 0.100000
Training Epoch: 13 [26624/47500]	Loss: 1.1276	LR: 0.100000
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Training Epoch: 13 [27648/47500]	Loss: 1.1076	LR: 0.100000
Training Epoch: 13 [27904/47500]	Loss: 1.1926	LR: 0.100000
Training Epoch: 13 [28160/47500]	Loss: 1.1475	LR: 0.100000
Training Epoch: 13 [28416/47500]	Loss: 1.0043	LR: 0.100000
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Training Epoch: 13 [28928/47500]	Loss: 1.1144	LR: 0.100000
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Training Epoch: 13 [29440/47500]	Loss: 0.8810	LR: 0.100000
Training Epoch: 13 [29696/47500]	Loss: 1.0550	LR: 0.100000
Training Epoch: 13 [29952/47500]	Loss: 0.9214	LR: 0.100000
Training Epoch: 13 [30208/47500]	Loss: 1.1136	LR: 0.100000
Training Epoch: 13 [30464/47500]	Loss: 1.0678	LR: 0.100000
Training Epoch: 13 [30720/47500]	Loss: 1.0979	LR: 0.100000
Training Epoch: 13 [30976/47500]	Loss: 1.0564	LR: 0.100000
Training Epoch: 13 [31232/47500]	Loss: 1.0961	LR: 0.100000
Training Epoch: 13 [31488/47500]	Loss: 1.0887	LR: 0.100000
Training Epoch: 13 [31744/47500]	Loss: 1.1115	LR: 0.100000
Training Epoch: 13 [32000/47500]	Loss: 0.9390	LR: 0.100000
Training Epoch: 13 [32256/47500]	Loss: 0.8579	LR: 0.100000
Training Epoch: 13 [32512/47500]	Loss: 1.0342	LR: 0.100000
Training Epoch: 13 [32768/47500]	Loss: 1.0526	LR: 0.100000
Training Epoch: 13 [33024/47500]	Loss: 1.1600	LR: 0.100000
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Training Epoch: 13 [33536/47500]	Loss: 1.0361	LR: 0.100000
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Training Epoch: 13 [34304/47500]	Loss: 1.1243	LR: 0.100000
Training Epoch: 13 [34560/47500]	Loss: 0.9833	LR: 0.100000
Training Epoch: 13 [34816/47500]	Loss: 1.0651	LR: 0.100000
Training Epoch: 13 [35072/47500]	Loss: 0.9452	LR: 0.100000
Training Epoch: 13 [35328/47500]	Loss: 1.1215	LR: 0.100000
Training Epoch: 13 [35584/47500]	Loss: 1.1168	LR: 0.100000
Training Epoch: 13 [35840/47500]	Loss: 1.1592	LR: 0.100000
Training Epoch: 13 [36096/47500]	Loss: 1.0087	LR: 0.100000
Training Epoch: 13 [36352/47500]	Loss: 1.1209	LR: 0.100000
Training Epoch: 13 [36608/47500]	Loss: 1.2954	LR: 0.100000
Training Epoch: 13 [36864/47500]	Loss: 1.0997	LR: 0.100000
Training Epoch: 13 [37120/47500]	Loss: 0.9505	LR: 0.100000
Training Epoch: 13 [37376/47500]	Loss: 1.0716	LR: 0.100000
Training Epoch: 13 [37632/47500]	Loss: 1.1210	LR: 0.100000
Training Epoch: 13 [37888/47500]	Loss: 1.1000	LR: 0.100000
Training Epoch: 13 [38144/47500]	Loss: 1.0505	LR: 0.100000
Training Epoch: 13 [38400/47500]	Loss: 1.0035	LR: 0.100000
Training Epoch: 13 [38656/47500]	Loss: 1.1394	LR: 0.100000
Training Epoch: 13 [38912/47500]	Loss: 0.9185	LR: 0.100000
Training Epoch: 13 [39168/47500]	Loss: 1.0076	LR: 0.100000
Training Epoch: 13 [39424/47500]	Loss: 1.0343	LR: 0.100000
Training Epoch: 13 [39680/47500]	Loss: 1.0150	LR: 0.100000
Training Epoch: 13 [39936/47500]	Loss: 1.1015	LR: 0.100000
Training Epoch: 13 [40192/47500]	Loss: 1.1438	LR: 0.100000
Training Epoch: 13 [40448/47500]	Loss: 1.0478	LR: 0.100000
Training Epoch: 13 [40704/47500]	Loss: 1.1231	LR: 0.100000
Training Epoch: 13 [40960/47500]	Loss: 0.9901	LR: 0.100000
Training Epoch: 13 [41216/47500]	Loss: 1.0021	LR: 0.100000
Training Epoch: 13 [41472/47500]	Loss: 0.9429	LR: 0.100000
Training Epoch: 13 [41728/47500]	Loss: 0.9706	LR: 0.100000
Training Epoch: 13 [41984/47500]	Loss: 0.9949	LR: 0.100000
Training Epoch: 13 [42240/47500]	Loss: 1.1205	LR: 0.100000
Training Epoch: 13 [42496/47500]	Loss: 0.9995	LR: 0.100000
Training Epoch: 13 [42752/47500]	Loss: 1.0356	LR: 0.100000
Training Epoch: 13 [43008/47500]	Loss: 1.0588	LR: 0.100000
Training Epoch: 13 [43264/47500]	Loss: 1.0256	LR: 0.100000
Training Epoch: 13 [43520/47500]	Loss: 1.0126	LR: 0.100000
Training Epoch: 13 [43776/47500]	Loss: 1.0378	LR: 0.100000
Training Epoch: 13 [44032/47500]	Loss: 1.1437	LR: 0.100000
Training Epoch: 13 [44288/47500]	Loss: 1.0702	LR: 0.100000
Training Epoch: 13 [44544/47500]	Loss: 1.0797	LR: 0.100000
Training Epoch: 13 [44800/47500]	Loss: 1.0565	LR: 0.100000
Training Epoch: 13 [45056/47500]	Loss: 1.0479	LR: 0.100000
Training Epoch: 13 [45312/47500]	Loss: 1.0076	LR: 0.100000
Training Epoch: 13 [45568/47500]	Loss: 0.9825	LR: 0.100000
Training Epoch: 13 [45824/47500]	Loss: 1.1878	LR: 0.100000
Training Epoch: 13 [46080/47500]	Loss: 0.9823	LR: 0.100000
Training Epoch: 13 [46336/47500]	Loss: 1.0897	LR: 0.100000
Training Epoch: 13 [46592/47500]	Loss: 1.0202	LR: 0.100000
Training Epoch: 13 [46848/47500]	Loss: 1.0179	LR: 0.100000
Training Epoch: 13 [47104/47500]	Loss: 1.0071	LR: 0.100000
Training Epoch: 13 [47360/47500]	Loss: 1.0880	LR: 0.100000
Training Epoch: 13 [47500/47500]	Loss: 1.2073	LR: 0.100000
Epoch 13 - Average Train Loss: 1.0483, Train Accuracy: 0.6611
Epoch 13 training time consumed: 26.01s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0057, Accuracy: 0.5876, Time consumed:0.89s
Training Epoch: 14 [256/47500]	Loss: 0.9899	LR: 0.100000
Training Epoch: 14 [512/47500]	Loss: 1.0487	LR: 0.100000
Training Epoch: 14 [768/47500]	Loss: 1.1754	LR: 0.100000
Training Epoch: 14 [1024/47500]	Loss: 0.9419	LR: 0.100000
Training Epoch: 14 [1280/47500]	Loss: 1.0510	LR: 0.100000
Training Epoch: 14 [1536/47500]	Loss: 0.9703	LR: 0.100000
Training Epoch: 14 [1792/47500]	Loss: 1.0051	LR: 0.100000
Training Epoch: 14 [2048/47500]	Loss: 1.0558	LR: 0.100000
Training Epoch: 14 [2304/47500]	Loss: 1.0328	LR: 0.100000
Training Epoch: 14 [2560/47500]	Loss: 1.0646	LR: 0.100000
Training Epoch: 14 [2816/47500]	Loss: 0.8893	LR: 0.100000
Training Epoch: 14 [3072/47500]	Loss: 1.0451	LR: 0.100000
Training Epoch: 14 [3328/47500]	Loss: 1.0895	LR: 0.100000
Training Epoch: 14 [3584/47500]	Loss: 1.0283	LR: 0.100000
Training Epoch: 14 [3840/47500]	Loss: 1.0065	LR: 0.100000
Training Epoch: 14 [4096/47500]	Loss: 0.9442	LR: 0.100000
Training Epoch: 14 [4352/47500]	Loss: 1.0707	LR: 0.100000
Training Epoch: 14 [4608/47500]	Loss: 0.9018	LR: 0.100000
Training Epoch: 14 [4864/47500]	Loss: 1.1924	LR: 0.100000
Training Epoch: 14 [5120/47500]	Loss: 1.0801	LR: 0.100000
Training Epoch: 14 [5376/47500]	Loss: 1.0736	LR: 0.100000
Training Epoch: 14 [5632/47500]	Loss: 1.0338	LR: 0.100000
Training Epoch: 14 [5888/47500]	Loss: 1.0069	LR: 0.100000
Training Epoch: 14 [6144/47500]	Loss: 0.9579	LR: 0.100000
Training Epoch: 14 [6400/47500]	Loss: 0.9449	LR: 0.100000
Training Epoch: 14 [6656/47500]	Loss: 1.0904	LR: 0.100000
Training Epoch: 14 [6912/47500]	Loss: 1.0141	LR: 0.100000
Training Epoch: 14 [7168/47500]	Loss: 1.0497	LR: 0.100000
Training Epoch: 14 [7424/47500]	Loss: 1.1570	LR: 0.100000
Training Epoch: 14 [7680/47500]	Loss: 1.1472	LR: 0.100000
Training Epoch: 14 [7936/47500]	Loss: 1.0654	LR: 0.100000
Training Epoch: 14 [8192/47500]	Loss: 1.0219	LR: 0.100000
Training Epoch: 14 [8448/47500]	Loss: 1.0799	LR: 0.100000
Training Epoch: 14 [8704/47500]	Loss: 1.1177	LR: 0.100000
Training Epoch: 14 [8960/47500]	Loss: 0.9260	LR: 0.100000
Training Epoch: 14 [9216/47500]	Loss: 1.0127	LR: 0.100000
Training Epoch: 14 [9472/47500]	Loss: 0.9688	LR: 0.100000
Training Epoch: 14 [9728/47500]	Loss: 0.9918	LR: 0.100000
Training Epoch: 14 [9984/47500]	Loss: 1.0360	LR: 0.100000
Training Epoch: 14 [10240/47500]	Loss: 1.0436	LR: 0.100000
Training Epoch: 14 [10496/47500]	Loss: 1.0154	LR: 0.100000
Training Epoch: 14 [10752/47500]	Loss: 0.9580	LR: 0.100000
Training Epoch: 14 [11008/47500]	Loss: 1.0354	LR: 0.100000
Training Epoch: 14 [11264/47500]	Loss: 0.8686	LR: 0.100000
Training Epoch: 14 [11520/47500]	Loss: 1.0360	LR: 0.100000
Training Epoch: 14 [11776/47500]	Loss: 1.0697	LR: 0.100000
Training Epoch: 14 [12032/47500]	Loss: 0.9400	LR: 0.100000
Training Epoch: 14 [12288/47500]	Loss: 0.7890	LR: 0.100000
Training Epoch: 14 [12544/47500]	Loss: 0.9263	LR: 0.100000
Training Epoch: 14 [12800/47500]	Loss: 1.0327	LR: 0.100000
Training Epoch: 14 [13056/47500]	Loss: 0.9770	LR: 0.100000
Training Epoch: 14 [13312/47500]	Loss: 0.8798	LR: 0.100000
Training Epoch: 14 [13568/47500]	Loss: 0.9162	LR: 0.100000
Training Epoch: 14 [13824/47500]	Loss: 0.9985	LR: 0.100000
Training Epoch: 14 [14080/47500]	Loss: 1.0042	LR: 0.100000
Training Epoch: 14 [14336/47500]	Loss: 0.8326	LR: 0.100000
Training Epoch: 14 [14592/47500]	Loss: 1.0837	LR: 0.100000
Training Epoch: 14 [14848/47500]	Loss: 0.9881	LR: 0.100000
Training Epoch: 14 [15104/47500]	Loss: 1.0266	LR: 0.100000
Training Epoch: 14 [15360/47500]	Loss: 1.1158	LR: 0.100000
Training Epoch: 14 [15616/47500]	Loss: 0.9510	LR: 0.100000
Training Epoch: 14 [15872/47500]	Loss: 1.0576	LR: 0.100000
Training Epoch: 14 [16128/47500]	Loss: 1.0698	LR: 0.100000
Training Epoch: 14 [16384/47500]	Loss: 0.8680	LR: 0.100000
Training Epoch: 14 [16640/47500]	Loss: 1.1274	LR: 0.100000
Training Epoch: 14 [16896/47500]	Loss: 1.0653	LR: 0.100000
Training Epoch: 14 [17152/47500]	Loss: 1.0641	LR: 0.100000
Training Epoch: 14 [17408/47500]	Loss: 1.0921	LR: 0.100000
Training Epoch: 14 [17664/47500]	Loss: 1.0629	LR: 0.100000
Training Epoch: 14 [17920/47500]	Loss: 1.1116	LR: 0.100000
Training Epoch: 14 [18176/47500]	Loss: 0.9817	LR: 0.100000
Training Epoch: 14 [18432/47500]	Loss: 1.0717	LR: 0.100000
Training Epoch: 14 [18688/47500]	Loss: 0.9604	LR: 0.100000
Training Epoch: 14 [18944/47500]	Loss: 0.9936	LR: 0.100000
Training Epoch: 14 [19200/47500]	Loss: 0.8943	LR: 0.100000
Training Epoch: 14 [19456/47500]	Loss: 0.9549	LR: 0.100000
Training Epoch: 14 [19712/47500]	Loss: 1.1174	LR: 0.100000
Training Epoch: 14 [19968/47500]	Loss: 0.9514	LR: 0.100000
Training Epoch: 14 [20224/47500]	Loss: 1.1308	LR: 0.100000
Training Epoch: 14 [20480/47500]	Loss: 1.0684	LR: 0.100000
Training Epoch: 14 [20736/47500]	Loss: 0.9397	LR: 0.100000
Training Epoch: 14 [20992/47500]	Loss: 1.0538	LR: 0.100000
Training Epoch: 14 [21248/47500]	Loss: 1.0036	LR: 0.100000
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Training Epoch: 14 [22016/47500]	Loss: 1.1025	LR: 0.100000
Training Epoch: 14 [22272/47500]	Loss: 0.9891	LR: 0.100000
Training Epoch: 14 [22528/47500]	Loss: 1.1106	LR: 0.100000
Training Epoch: 14 [22784/47500]	Loss: 1.0406	LR: 0.100000
Training Epoch: 14 [23040/47500]	Loss: 0.8576	LR: 0.100000
Training Epoch: 14 [23296/47500]	Loss: 1.0887	LR: 0.100000
Training Epoch: 14 [23552/47500]	Loss: 1.0249	LR: 0.100000
Training Epoch: 14 [23808/47500]	Loss: 1.1458	LR: 0.100000
Training Epoch: 14 [24064/47500]	Loss: 0.8892	LR: 0.100000
Training Epoch: 14 [24320/47500]	Loss: 1.1000	LR: 0.100000
Training Epoch: 14 [24576/47500]	Loss: 1.1335	LR: 0.100000
Training Epoch: 14 [24832/47500]	Loss: 1.0259	LR: 0.100000
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Training Epoch: 14 [25856/47500]	Loss: 1.0063	LR: 0.100000
Training Epoch: 14 [26112/47500]	Loss: 1.0319	LR: 0.100000
Training Epoch: 14 [26368/47500]	Loss: 1.1227	LR: 0.100000
Training Epoch: 14 [26624/47500]	Loss: 0.8886	LR: 0.100000
Training Epoch: 14 [26880/47500]	Loss: 1.1189	LR: 0.100000
Training Epoch: 14 [27136/47500]	Loss: 0.9764	LR: 0.100000
Training Epoch: 14 [27392/47500]	Loss: 1.1524	LR: 0.100000
Training Epoch: 14 [27648/47500]	Loss: 0.8893	LR: 0.100000
Training Epoch: 14 [27904/47500]	Loss: 1.0243	LR: 0.100000
Training Epoch: 14 [28160/47500]	Loss: 0.9191	LR: 0.100000
Training Epoch: 14 [28416/47500]	Loss: 0.9838	LR: 0.100000
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Training Epoch: 14 [28928/47500]	Loss: 1.0727	LR: 0.100000
Training Epoch: 14 [29184/47500]	Loss: 0.9799	LR: 0.100000
Training Epoch: 14 [29440/47500]	Loss: 0.8726	LR: 0.100000
Training Epoch: 14 [29696/47500]	Loss: 0.9587	LR: 0.100000
Training Epoch: 14 [29952/47500]	Loss: 0.9768	LR: 0.100000
Training Epoch: 14 [30208/47500]	Loss: 1.1372	LR: 0.100000
Training Epoch: 14 [30464/47500]	Loss: 1.0028	LR: 0.100000
Training Epoch: 14 [30720/47500]	Loss: 0.9668	LR: 0.100000
Training Epoch: 14 [30976/47500]	Loss: 1.0160	LR: 0.100000
Training Epoch: 14 [31232/47500]	Loss: 1.0441	LR: 0.100000
Training Epoch: 14 [31488/47500]	Loss: 1.0495	LR: 0.100000
Training Epoch: 14 [31744/47500]	Loss: 0.9970	LR: 0.100000
Training Epoch: 14 [32000/47500]	Loss: 0.8568	LR: 0.100000
Training Epoch: 14 [32256/47500]	Loss: 0.9833	LR: 0.100000
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Training Epoch: 14 [33536/47500]	Loss: 1.0180	LR: 0.100000
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Training Epoch: 14 [47500/47500]	Loss: 1.0661	LR: 0.100000
Epoch 14 - Average Train Loss: 1.0180, Train Accuracy: 0.6747
Epoch 14 training time consumed: 25.97s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0063, Accuracy: 0.5594, Time consumed:0.90s
Training Epoch: 15 [256/47500]	Loss: 0.9205	LR: 0.020000
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Training Epoch: 15 [47500/47500]	Loss: 0.7710	LR: 0.020000
Epoch 15 - Average Train Loss: 0.7855, Train Accuracy: 0.7484
Epoch 15 training time consumed: 25.99s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0034, Accuracy: 0.7310, Time consumed:0.87s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_00h_02m_29s/AllCNN-Cifar20-seed10-ret50-15-best.pth
Training Epoch: 16 [256/47500]	Loss: 0.6775	LR: 0.020000
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Training Epoch: 16 [47500/47500]	Loss: 0.6363	LR: 0.020000
Epoch 16 - Average Train Loss: 0.7084, Train Accuracy: 0.7740
Epoch 16 training time consumed: 26.01s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0033, Accuracy: 0.7405, Time consumed:1.00s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_00h_02m_29s/AllCNN-Cifar20-seed10-ret50-16-best.pth
Training Epoch: 17 [256/47500]	Loss: 0.6596	LR: 0.020000
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Training Epoch: 17 [36864/47500]	Loss: 0.7548	LR: 0.020000
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Training Epoch: 17 [37376/47500]	Loss: 0.7719	LR: 0.020000
Training Epoch: 17 [37632/47500]	Loss: 0.6711	LR: 0.020000
Training Epoch: 17 [37888/47500]	Loss: 0.6781	LR: 0.020000
Training Epoch: 17 [38144/47500]	Loss: 0.7510	LR: 0.020000
Training Epoch: 17 [38400/47500]	Loss: 0.7387	LR: 0.020000
Training Epoch: 17 [38656/47500]	Loss: 0.8368	LR: 0.020000
Training Epoch: 17 [38912/47500]	Loss: 0.7031	LR: 0.020000
Training Epoch: 17 [39168/47500]	Loss: 0.5936	LR: 0.020000
Training Epoch: 17 [39424/47500]	Loss: 0.5825	LR: 0.020000
Training Epoch: 17 [39680/47500]	Loss: 0.6402	LR: 0.020000
Training Epoch: 17 [39936/47500]	Loss: 0.8326	LR: 0.020000
Training Epoch: 17 [40192/47500]	Loss: 0.5478	LR: 0.020000
Training Epoch: 17 [40448/47500]	Loss: 0.9286	LR: 0.020000
Training Epoch: 17 [40704/47500]	Loss: 0.6575	LR: 0.020000
Training Epoch: 17 [40960/47500]	Loss: 0.7668	LR: 0.020000
Training Epoch: 17 [41216/47500]	Loss: 0.6857	LR: 0.020000
Training Epoch: 17 [41472/47500]	Loss: 0.7418	LR: 0.020000
Training Epoch: 17 [41728/47500]	Loss: 0.6439	LR: 0.020000
Training Epoch: 17 [41984/47500]	Loss: 0.6703	LR: 0.020000
Training Epoch: 17 [42240/47500]	Loss: 0.6679	LR: 0.020000
Training Epoch: 17 [42496/47500]	Loss: 0.6797	LR: 0.020000
Training Epoch: 17 [42752/47500]	Loss: 0.8988	LR: 0.020000
Training Epoch: 17 [43008/47500]	Loss: 0.7270	LR: 0.020000
Training Epoch: 17 [43264/47500]	Loss: 0.7678	LR: 0.020000
Training Epoch: 17 [43520/47500]	Loss: 0.6590	LR: 0.020000
Training Epoch: 17 [43776/47500]	Loss: 0.6561	LR: 0.020000
Training Epoch: 17 [44032/47500]	Loss: 0.6349	LR: 0.020000
Training Epoch: 17 [44288/47500]	Loss: 0.6219	LR: 0.020000
Training Epoch: 17 [44544/47500]	Loss: 0.7061	LR: 0.020000
Training Epoch: 17 [44800/47500]	Loss: 0.6876	LR: 0.020000
Training Epoch: 17 [45056/47500]	Loss: 0.6165	LR: 0.020000
Training Epoch: 17 [45312/47500]	Loss: 0.6958	LR: 0.020000
Training Epoch: 17 [45568/47500]	Loss: 0.6629	LR: 0.020000
Training Epoch: 17 [45824/47500]	Loss: 0.6542	LR: 0.020000
Training Epoch: 17 [46080/47500]	Loss: 0.6098	LR: 0.020000
Training Epoch: 17 [46336/47500]	Loss: 0.8059	LR: 0.020000
Training Epoch: 17 [46592/47500]	Loss: 0.7662	LR: 0.020000
Training Epoch: 17 [46848/47500]	Loss: 0.5968	LR: 0.020000
Training Epoch: 17 [47104/47500]	Loss: 0.8123	LR: 0.020000
Training Epoch: 17 [47360/47500]	Loss: 0.6298	LR: 0.020000
Training Epoch: 17 [47500/47500]	Loss: 0.6563	LR: 0.020000
Epoch 17 - Average Train Loss: 0.6830, Train Accuracy: 0.7807
Epoch 17 training time consumed: 26.03s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0034, Accuracy: 0.7351, Time consumed:0.92s
Training Epoch: 18 [256/47500]	Loss: 0.5775	LR: 0.020000
Training Epoch: 18 [512/47500]	Loss: 0.6185	LR: 0.020000
Training Epoch: 18 [768/47500]	Loss: 0.6066	LR: 0.020000
Training Epoch: 18 [1024/47500]	Loss: 0.6892	LR: 0.020000
Training Epoch: 18 [1280/47500]	Loss: 0.6365	LR: 0.020000
Training Epoch: 18 [1536/47500]	Loss: 0.6646	LR: 0.020000
Training Epoch: 18 [1792/47500]	Loss: 0.6801	LR: 0.020000
Training Epoch: 18 [2048/47500]	Loss: 0.6432	LR: 0.020000
Training Epoch: 18 [2304/47500]	Loss: 0.6522	LR: 0.020000
Training Epoch: 18 [2560/47500]	Loss: 0.6665	LR: 0.020000
Training Epoch: 18 [2816/47500]	Loss: 0.5742	LR: 0.020000
Training Epoch: 18 [3072/47500]	Loss: 0.6606	LR: 0.020000
Training Epoch: 18 [3328/47500]	Loss: 0.6261	LR: 0.020000
Training Epoch: 18 [3584/47500]	Loss: 0.6712	LR: 0.020000
Training Epoch: 18 [3840/47500]	Loss: 0.6641	LR: 0.020000
Training Epoch: 18 [4096/47500]	Loss: 0.6380	LR: 0.020000
Training Epoch: 18 [4352/47500]	Loss: 0.7435	LR: 0.020000
Training Epoch: 18 [4608/47500]	Loss: 0.6238	LR: 0.020000
Training Epoch: 18 [4864/47500]	Loss: 0.6446	LR: 0.020000
Training Epoch: 18 [5120/47500]	Loss: 0.5251	LR: 0.020000
Training Epoch: 18 [5376/47500]	Loss: 0.6564	LR: 0.020000
Training Epoch: 18 [5632/47500]	Loss: 0.6430	LR: 0.020000
Training Epoch: 18 [5888/47500]	Loss: 0.5763	LR: 0.020000
Training Epoch: 18 [6144/47500]	Loss: 0.6051	LR: 0.020000
Training Epoch: 18 [6400/47500]	Loss: 0.6948	LR: 0.020000
Training Epoch: 18 [6656/47500]	Loss: 0.6670	LR: 0.020000
Training Epoch: 18 [6912/47500]	Loss: 0.7152	LR: 0.020000
Training Epoch: 18 [7168/47500]	Loss: 0.6097	LR: 0.020000
Training Epoch: 18 [7424/47500]	Loss: 0.6606	LR: 0.020000
Training Epoch: 18 [7680/47500]	Loss: 0.6915	LR: 0.020000
Training Epoch: 18 [7936/47500]	Loss: 0.6882	LR: 0.020000
Training Epoch: 18 [8192/47500]	Loss: 0.6783	LR: 0.020000
Training Epoch: 18 [8448/47500]	Loss: 0.5850	LR: 0.020000
Training Epoch: 18 [8704/47500]	Loss: 0.6605	LR: 0.020000
Training Epoch: 18 [8960/47500]	Loss: 0.6649	LR: 0.020000
Training Epoch: 18 [9216/47500]	Loss: 0.7826	LR: 0.020000
Training Epoch: 18 [9472/47500]	Loss: 0.7753	LR: 0.020000
Training Epoch: 18 [9728/47500]	Loss: 0.6926	LR: 0.020000
Training Epoch: 18 [9984/47500]	Loss: 0.6775	LR: 0.020000
Training Epoch: 18 [10240/47500]	Loss: 0.6369	LR: 0.020000
Training Epoch: 18 [10496/47500]	Loss: 0.6352	LR: 0.020000
Training Epoch: 18 [10752/47500]	Loss: 0.7100	LR: 0.020000
Training Epoch: 18 [11008/47500]	Loss: 0.6285	LR: 0.020000
Training Epoch: 18 [11264/47500]	Loss: 0.6456	LR: 0.020000
Training Epoch: 18 [11520/47500]	Loss: 0.6412	LR: 0.020000
Training Epoch: 18 [11776/47500]	Loss: 0.7411	LR: 0.020000
Training Epoch: 18 [12032/47500]	Loss: 0.5916	LR: 0.020000
Training Epoch: 18 [12288/47500]	Loss: 0.5689	LR: 0.020000
Training Epoch: 18 [12544/47500]	Loss: 0.6247	LR: 0.020000
Training Epoch: 18 [12800/47500]	Loss: 0.5814	LR: 0.020000
Training Epoch: 18 [13056/47500]	Loss: 0.7577	LR: 0.020000
Training Epoch: 18 [13312/47500]	Loss: 0.5458	LR: 0.020000
Training Epoch: 18 [13568/47500]	Loss: 0.7034	LR: 0.020000
Training Epoch: 18 [13824/47500]	Loss: 0.6439	LR: 0.020000
Training Epoch: 18 [14080/47500]	Loss: 0.5596	LR: 0.020000
Training Epoch: 18 [14336/47500]	Loss: 0.6104	LR: 0.020000
Training Epoch: 18 [14592/47500]	Loss: 0.6670	LR: 0.020000
Training Epoch: 18 [14848/47500]	Loss: 0.7273	LR: 0.020000
Training Epoch: 18 [15104/47500]	Loss: 0.7470	LR: 0.020000
Training Epoch: 18 [15360/47500]	Loss: 0.6661	LR: 0.020000
Training Epoch: 18 [15616/47500]	Loss: 0.6215	LR: 0.020000
Training Epoch: 18 [15872/47500]	Loss: 0.6725	LR: 0.020000
Training Epoch: 18 [16128/47500]	Loss: 0.5430	LR: 0.020000
Training Epoch: 18 [16384/47500]	Loss: 0.6084	LR: 0.020000
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Training Epoch: 18 [16896/47500]	Loss: 0.6715	LR: 0.020000
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Training Epoch: 18 [18176/47500]	Loss: 0.7043	LR: 0.020000
Training Epoch: 18 [18432/47500]	Loss: 0.7411	LR: 0.020000
Training Epoch: 18 [18688/47500]	Loss: 0.6960	LR: 0.020000
Training Epoch: 18 [18944/47500]	Loss: 0.6580	LR: 0.020000
Training Epoch: 18 [19200/47500]	Loss: 0.7617	LR: 0.020000
Training Epoch: 18 [19456/47500]	Loss: 0.6403	LR: 0.020000
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Training Epoch: 18 [19968/47500]	Loss: 0.6801	LR: 0.020000
Training Epoch: 18 [20224/47500]	Loss: 0.5812	LR: 0.020000
Training Epoch: 18 [20480/47500]	Loss: 0.5648	LR: 0.020000
Training Epoch: 18 [20736/47500]	Loss: 0.5917	LR: 0.020000
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Training Epoch: 18 [21760/47500]	Loss: 0.6334	LR: 0.020000
Training Epoch: 18 [22016/47500]	Loss: 0.6670	LR: 0.020000
Training Epoch: 18 [22272/47500]	Loss: 0.5579	LR: 0.020000
Training Epoch: 18 [22528/47500]	Loss: 0.6245	LR: 0.020000
Training Epoch: 18 [22784/47500]	Loss: 0.6221	LR: 0.020000
Training Epoch: 18 [23040/47500]	Loss: 0.7151	LR: 0.020000
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Training Epoch: 18 [28160/47500]	Loss: 0.6764	LR: 0.020000
Training Epoch: 18 [28416/47500]	Loss: 0.7568	LR: 0.020000
Training Epoch: 18 [28672/47500]	Loss: 0.7945	LR: 0.020000
Training Epoch: 18 [28928/47500]	Loss: 0.6676	LR: 0.020000
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Training Epoch: 18 [35328/47500]	Loss: 0.6213	LR: 0.020000
Training Epoch: 18 [35584/47500]	Loss: 0.6272	LR: 0.020000
Training Epoch: 18 [35840/47500]	Loss: 0.6950	LR: 0.020000
Training Epoch: 18 [36096/47500]	Loss: 0.7603	LR: 0.020000
Training Epoch: 18 [36352/47500]	Loss: 0.6891	LR: 0.020000
Training Epoch: 18 [36608/47500]	Loss: 0.5651	LR: 0.020000
Training Epoch: 18 [36864/47500]	Loss: 0.6170	LR: 0.020000
Training Epoch: 18 [37120/47500]	Loss: 0.6188	LR: 0.020000
Training Epoch: 18 [37376/47500]	Loss: 0.6371	LR: 0.020000
Training Epoch: 18 [37632/47500]	Loss: 0.6486	LR: 0.020000
Training Epoch: 18 [37888/47500]	Loss: 0.6591	LR: 0.020000
Training Epoch: 18 [38144/47500]	Loss: 0.7092	LR: 0.020000
Training Epoch: 18 [38400/47500]	Loss: 0.6543	LR: 0.020000
Training Epoch: 18 [38656/47500]	Loss: 0.7296	LR: 0.020000
Training Epoch: 18 [38912/47500]	Loss: 0.7074	LR: 0.020000
Training Epoch: 18 [39168/47500]	Loss: 0.6745	LR: 0.020000
Training Epoch: 18 [39424/47500]	Loss: 0.6805	LR: 0.020000
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Training Epoch: 18 [39936/47500]	Loss: 0.6160	LR: 0.020000
Training Epoch: 18 [40192/47500]	Loss: 0.5681	LR: 0.020000
Training Epoch: 18 [40448/47500]	Loss: 0.7104	LR: 0.020000
Training Epoch: 18 [40704/47500]	Loss: 0.6612	LR: 0.020000
Training Epoch: 18 [40960/47500]	Loss: 0.6104	LR: 0.020000
Training Epoch: 18 [41216/47500]	Loss: 0.6367	LR: 0.020000
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Training Epoch: 18 [41728/47500]	Loss: 0.6500	LR: 0.020000
Training Epoch: 18 [41984/47500]	Loss: 0.6536	LR: 0.020000
Training Epoch: 18 [42240/47500]	Loss: 0.7249	LR: 0.020000
Training Epoch: 18 [42496/47500]	Loss: 0.5323	LR: 0.020000
Training Epoch: 18 [42752/47500]	Loss: 0.6288	LR: 0.020000
Training Epoch: 18 [43008/47500]	Loss: 0.6508	LR: 0.020000
Training Epoch: 18 [43264/47500]	Loss: 0.7223	LR: 0.020000
Training Epoch: 18 [43520/47500]	Loss: 0.6048	LR: 0.020000
Training Epoch: 18 [43776/47500]	Loss: 0.6990	LR: 0.020000
Training Epoch: 18 [44032/47500]	Loss: 0.6740	LR: 0.020000
Training Epoch: 18 [44288/47500]	Loss: 0.6344	LR: 0.020000
Training Epoch: 18 [44544/47500]	Loss: 0.7052	LR: 0.020000
Training Epoch: 18 [44800/47500]	Loss: 0.6182	LR: 0.020000
Training Epoch: 18 [45056/47500]	Loss: 0.6085	LR: 0.020000
Training Epoch: 18 [45312/47500]	Loss: 0.7241	LR: 0.020000
Training Epoch: 18 [45568/47500]	Loss: 0.7091	LR: 0.020000
Training Epoch: 18 [45824/47500]	Loss: 0.6958	LR: 0.020000
Training Epoch: 18 [46080/47500]	Loss: 0.7129	LR: 0.020000
Training Epoch: 18 [46336/47500]	Loss: 0.6057	LR: 0.020000
Training Epoch: 18 [46592/47500]	Loss: 0.6861	LR: 0.020000
Training Epoch: 18 [46848/47500]	Loss: 0.5716	LR: 0.020000
Training Epoch: 18 [47104/47500]	Loss: 0.7503	LR: 0.020000
Training Epoch: 18 [47360/47500]	Loss: 0.6317	LR: 0.020000
Training Epoch: 18 [47500/47500]	Loss: 0.6075	LR: 0.020000
Epoch 18 - Average Train Loss: 0.6576, Train Accuracy: 0.7894
Epoch 18 training time consumed: 26.08s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0034, Accuracy: 0.7314, Time consumed:0.98s
Training Epoch: 19 [256/47500]	Loss: 0.6530	LR: 0.020000
Training Epoch: 19 [512/47500]	Loss: 0.6621	LR: 0.020000
Training Epoch: 19 [768/47500]	Loss: 0.6634	LR: 0.020000
Training Epoch: 19 [1024/47500]	Loss: 0.6829	LR: 0.020000
Training Epoch: 19 [1280/47500]	Loss: 0.5276	LR: 0.020000
Training Epoch: 19 [1536/47500]	Loss: 0.6884	LR: 0.020000
Training Epoch: 19 [1792/47500]	Loss: 0.5926	LR: 0.020000
Training Epoch: 19 [2048/47500]	Loss: 0.5306	LR: 0.020000
Training Epoch: 19 [2304/47500]	Loss: 0.6585	LR: 0.020000
Training Epoch: 19 [2560/47500]	Loss: 0.6314	LR: 0.020000
Training Epoch: 19 [2816/47500]	Loss: 0.5987	LR: 0.020000
Training Epoch: 19 [3072/47500]	Loss: 0.6081	LR: 0.020000
Training Epoch: 19 [3328/47500]	Loss: 0.5443	LR: 0.020000
Training Epoch: 19 [3584/47500]	Loss: 0.6617	LR: 0.020000
Training Epoch: 19 [3840/47500]	Loss: 0.6019	LR: 0.020000
Training Epoch: 19 [4096/47500]	Loss: 0.6788	LR: 0.020000
Training Epoch: 19 [4352/47500]	Loss: 0.5536	LR: 0.020000
Training Epoch: 19 [4608/47500]	Loss: 0.6098	LR: 0.020000
Training Epoch: 19 [4864/47500]	Loss: 0.5546	LR: 0.020000
Training Epoch: 19 [5120/47500]	Loss: 0.6486	LR: 0.020000
Training Epoch: 19 [5376/47500]	Loss: 0.6608	LR: 0.020000
Training Epoch: 19 [5632/47500]	Loss: 0.8152	LR: 0.020000
Training Epoch: 19 [5888/47500]	Loss: 0.5507	LR: 0.020000
Training Epoch: 19 [6144/47500]	Loss: 0.6233	LR: 0.020000
Training Epoch: 19 [6400/47500]	Loss: 0.6047	LR: 0.020000
Training Epoch: 19 [6656/47500]	Loss: 0.5825	LR: 0.020000
Training Epoch: 19 [6912/47500]	Loss: 0.7440	LR: 0.020000
Training Epoch: 19 [7168/47500]	Loss: 0.5327	LR: 0.020000
Training Epoch: 19 [7424/47500]	Loss: 0.6858	LR: 0.020000
Training Epoch: 19 [7680/47500]	Loss: 0.5417	LR: 0.020000
Training Epoch: 19 [7936/47500]	Loss: 0.5948	LR: 0.020000
Training Epoch: 19 [8192/47500]	Loss: 0.5986	LR: 0.020000
Training Epoch: 19 [8448/47500]	Loss: 0.5931	LR: 0.020000
Training Epoch: 19 [8704/47500]	Loss: 0.6205	LR: 0.020000
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Training Epoch: 19 [9216/47500]	Loss: 0.6059	LR: 0.020000
Training Epoch: 19 [9472/47500]	Loss: 0.6658	LR: 0.020000
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Training Epoch: 19 [10240/47500]	Loss: 0.6497	LR: 0.020000
Training Epoch: 19 [10496/47500]	Loss: 0.6777	LR: 0.020000
Training Epoch: 19 [10752/47500]	Loss: 0.5715	LR: 0.020000
Training Epoch: 19 [11008/47500]	Loss: 0.7025	LR: 0.020000
Training Epoch: 19 [11264/47500]	Loss: 0.6343	LR: 0.020000
Training Epoch: 19 [11520/47500]	Loss: 0.6844	LR: 0.020000
Training Epoch: 19 [11776/47500]	Loss: 0.6257	LR: 0.020000
Training Epoch: 19 [12032/47500]	Loss: 0.6966	LR: 0.020000
Training Epoch: 19 [12288/47500]	Loss: 0.6631	LR: 0.020000
Training Epoch: 19 [12544/47500]	Loss: 0.5876	LR: 0.020000
Training Epoch: 19 [12800/47500]	Loss: 0.5304	LR: 0.020000
Training Epoch: 19 [13056/47500]	Loss: 0.6524	LR: 0.020000
Training Epoch: 19 [13312/47500]	Loss: 0.5905	LR: 0.020000
Training Epoch: 19 [13568/47500]	Loss: 0.6695	LR: 0.020000
Training Epoch: 19 [13824/47500]	Loss: 0.5965	LR: 0.020000
Training Epoch: 19 [14080/47500]	Loss: 0.6454	LR: 0.020000
Training Epoch: 19 [14336/47500]	Loss: 0.6065	LR: 0.020000
Training Epoch: 19 [14592/47500]	Loss: 0.5950	LR: 0.020000
Training Epoch: 19 [14848/47500]	Loss: 0.6501	LR: 0.020000
Training Epoch: 19 [15104/47500]	Loss: 0.6029	LR: 0.020000
Training Epoch: 19 [15360/47500]	Loss: 0.5651	LR: 0.020000
Training Epoch: 19 [15616/47500]	Loss: 0.5143	LR: 0.020000
Training Epoch: 19 [15872/47500]	Loss: 0.5877	LR: 0.020000
Training Epoch: 19 [16128/47500]	Loss: 0.5613	LR: 0.020000
Training Epoch: 19 [16384/47500]	Loss: 0.5745	LR: 0.020000
Training Epoch: 19 [16640/47500]	Loss: 0.6301	LR: 0.020000
Training Epoch: 19 [16896/47500]	Loss: 0.6526	LR: 0.020000
Training Epoch: 19 [17152/47500]	Loss: 0.6420	LR: 0.020000
Training Epoch: 19 [17408/47500]	Loss: 0.7030	LR: 0.020000
Training Epoch: 19 [17664/47500]	Loss: 0.6290	LR: 0.020000
Training Epoch: 19 [17920/47500]	Loss: 0.5370	LR: 0.020000
Training Epoch: 19 [18176/47500]	Loss: 0.6913	LR: 0.020000
Training Epoch: 19 [18432/47500]	Loss: 0.6718	LR: 0.020000
Training Epoch: 19 [18688/47500]	Loss: 0.7000	LR: 0.020000
Training Epoch: 19 [18944/47500]	Loss: 0.7018	LR: 0.020000
Training Epoch: 19 [19200/47500]	Loss: 0.7616	LR: 0.020000
Training Epoch: 19 [19456/47500]	Loss: 0.6834	LR: 0.020000
Training Epoch: 19 [19712/47500]	Loss: 0.7289	LR: 0.020000
Training Epoch: 19 [19968/47500]	Loss: 0.5992	LR: 0.020000
Training Epoch: 19 [20224/47500]	Loss: 0.5566	LR: 0.020000
Training Epoch: 19 [20480/47500]	Loss: 0.6768	LR: 0.020000
Training Epoch: 19 [20736/47500]	Loss: 0.6223	LR: 0.020000
Training Epoch: 19 [20992/47500]	Loss: 0.5724	LR: 0.020000
Training Epoch: 19 [21248/47500]	Loss: 0.4897	LR: 0.020000
Training Epoch: 19 [21504/47500]	Loss: 0.6652	LR: 0.020000
Training Epoch: 19 [21760/47500]	Loss: 0.6328	LR: 0.020000
Training Epoch: 19 [22016/47500]	Loss: 0.6241	LR: 0.020000
Training Epoch: 19 [22272/47500]	Loss: 0.5349	LR: 0.020000
Training Epoch: 19 [22528/47500]	Loss: 0.6204	LR: 0.020000
Training Epoch: 19 [22784/47500]	Loss: 0.6091	LR: 0.020000
Training Epoch: 19 [23040/47500]	Loss: 0.6507	LR: 0.020000
Training Epoch: 19 [23296/47500]	Loss: 0.5355	LR: 0.020000
Training Epoch: 19 [23552/47500]	Loss: 0.6159	LR: 0.020000
Training Epoch: 19 [23808/47500]	Loss: 0.5479	LR: 0.020000
Training Epoch: 19 [24064/47500]	Loss: 0.5927	LR: 0.020000
Training Epoch: 19 [24320/47500]	Loss: 0.6937	LR: 0.020000
Training Epoch: 19 [24576/47500]	Loss: 0.7207	LR: 0.020000
Training Epoch: 19 [24832/47500]	Loss: 0.5655	LR: 0.020000
Training Epoch: 19 [25088/47500]	Loss: 0.7126	LR: 0.020000
Training Epoch: 19 [25344/47500]	Loss: 0.5925	LR: 0.020000
Training Epoch: 19 [25600/47500]	Loss: 0.7322	LR: 0.020000
Training Epoch: 19 [25856/47500]	Loss: 0.6305	LR: 0.020000
Training Epoch: 19 [26112/47500]	Loss: 0.5471	LR: 0.020000
Training Epoch: 19 [26368/47500]	Loss: 0.6771	LR: 0.020000
Training Epoch: 19 [26624/47500]	Loss: 0.6449	LR: 0.020000
Training Epoch: 19 [26880/47500]	Loss: 0.7231	LR: 0.020000
Training Epoch: 19 [27136/47500]	Loss: 0.6971	LR: 0.020000
Training Epoch: 19 [27392/47500]	Loss: 0.7380	LR: 0.020000
Training Epoch: 19 [27648/47500]	Loss: 0.6211	LR: 0.020000
Training Epoch: 19 [27904/47500]	Loss: 0.6856	LR: 0.020000
Training Epoch: 19 [28160/47500]	Loss: 0.5505	LR: 0.020000
Training Epoch: 19 [28416/47500]	Loss: 0.5920	LR: 0.020000
Training Epoch: 19 [28672/47500]	Loss: 0.5330	LR: 0.020000
Training Epoch: 19 [28928/47500]	Loss: 0.6576	LR: 0.020000
Training Epoch: 19 [29184/47500]	Loss: 0.6685	LR: 0.020000
Training Epoch: 19 [29440/47500]	Loss: 0.6592	LR: 0.020000
Training Epoch: 19 [29696/47500]	Loss: 0.7034	LR: 0.020000
Training Epoch: 19 [29952/47500]	Loss: 0.7654	LR: 0.020000
Training Epoch: 19 [30208/47500]	Loss: 0.6490	LR: 0.020000
Training Epoch: 19 [30464/47500]	Loss: 0.6706	LR: 0.020000
Training Epoch: 19 [30720/47500]	Loss: 0.6666	LR: 0.020000
Training Epoch: 19 [30976/47500]	Loss: 0.6579	LR: 0.020000
Training Epoch: 19 [31232/47500]	Loss: 0.7798	LR: 0.020000
Training Epoch: 19 [31488/47500]	Loss: 0.6487	LR: 0.020000
Training Epoch: 19 [31744/47500]	Loss: 0.5962	LR: 0.020000
Training Epoch: 19 [32000/47500]	Loss: 0.7410	LR: 0.020000
Training Epoch: 19 [32256/47500]	Loss: 0.6082	LR: 0.020000
Training Epoch: 19 [32512/47500]	Loss: 0.6423	LR: 0.020000
Training Epoch: 19 [32768/47500]	Loss: 0.7013	LR: 0.020000
Training Epoch: 19 [33024/47500]	Loss: 0.7170	LR: 0.020000
Training Epoch: 19 [33280/47500]	Loss: 0.6299	LR: 0.020000
Training Epoch: 19 [33536/47500]	Loss: 0.6936	LR: 0.020000
Training Epoch: 19 [33792/47500]	Loss: 0.6921	LR: 0.020000
Training Epoch: 19 [34048/47500]	Loss: 0.4832	LR: 0.020000
Training Epoch: 19 [34304/47500]	Loss: 0.6581	LR: 0.020000
Training Epoch: 19 [34560/47500]	Loss: 0.6184	LR: 0.020000
Training Epoch: 19 [34816/47500]	Loss: 0.7645	LR: 0.020000
Training Epoch: 19 [35072/47500]	Loss: 0.6706	LR: 0.020000
Training Epoch: 19 [35328/47500]	Loss: 0.6627	LR: 0.020000
Training Epoch: 19 [35584/47500]	Loss: 0.6074	LR: 0.020000
Training Epoch: 19 [35840/47500]	Loss: 0.6156	LR: 0.020000
Training Epoch: 19 [36096/47500]	Loss: 0.6373	LR: 0.020000
Training Epoch: 19 [36352/47500]	Loss: 0.6050	LR: 0.020000
Training Epoch: 19 [36608/47500]	Loss: 0.6021	LR: 0.020000
Training Epoch: 19 [36864/47500]	Loss: 0.6680	LR: 0.020000
Training Epoch: 19 [37120/47500]	Loss: 0.6110	LR: 0.020000
Training Epoch: 19 [37376/47500]	Loss: 0.7051	LR: 0.020000
Training Epoch: 19 [37632/47500]	Loss: 0.5646	LR: 0.020000
Training Epoch: 19 [37888/47500]	Loss: 0.5808	LR: 0.020000
Training Epoch: 19 [38144/47500]	Loss: 0.6481	LR: 0.020000
Training Epoch: 19 [38400/47500]	Loss: 0.6573	LR: 0.020000
Training Epoch: 19 [38656/47500]	Loss: 0.7010	LR: 0.020000
Training Epoch: 19 [38912/47500]	Loss: 0.6720	LR: 0.020000
Training Epoch: 19 [39168/47500]	Loss: 0.6454	LR: 0.020000
Training Epoch: 19 [39424/47500]	Loss: 0.5885	LR: 0.020000
Training Epoch: 19 [39680/47500]	Loss: 0.5609	LR: 0.020000
Training Epoch: 19 [39936/47500]	Loss: 0.6346	LR: 0.020000
Training Epoch: 19 [40192/47500]	Loss: 0.7077	LR: 0.020000
Training Epoch: 19 [40448/47500]	Loss: 0.6548	LR: 0.020000
Training Epoch: 19 [40704/47500]	Loss: 0.5342	LR: 0.020000
Training Epoch: 19 [40960/47500]	Loss: 0.5788	LR: 0.020000
Training Epoch: 19 [41216/47500]	Loss: 0.7328	LR: 0.020000
Training Epoch: 19 [41472/47500]	Loss: 0.6672	LR: 0.020000
Training Epoch: 19 [41728/47500]	Loss: 0.6582	LR: 0.020000
Training Epoch: 19 [41984/47500]	Loss: 0.6204	LR: 0.020000
Training Epoch: 19 [42240/47500]	Loss: 0.5912	LR: 0.020000
Training Epoch: 19 [42496/47500]	Loss: 0.5362	LR: 0.020000
Training Epoch: 19 [42752/47500]	Loss: 0.6856	LR: 0.020000
Training Epoch: 19 [43008/47500]	Loss: 0.6523	LR: 0.020000
Training Epoch: 19 [43264/47500]	Loss: 0.6331	LR: 0.020000
Training Epoch: 19 [43520/47500]	Loss: 0.7076	LR: 0.020000
Training Epoch: 19 [43776/47500]	Loss: 0.5896	LR: 0.020000
Training Epoch: 19 [44032/47500]	Loss: 0.6187	LR: 0.020000
Training Epoch: 19 [44288/47500]	Loss: 0.6455	LR: 0.020000
Training Epoch: 19 [44544/47500]	Loss: 0.5955	LR: 0.020000
Training Epoch: 19 [44800/47500]	Loss: 0.6475	LR: 0.020000
Training Epoch: 19 [45056/47500]	Loss: 0.6327	LR: 0.020000
Training Epoch: 19 [45312/47500]	Loss: 0.7400	LR: 0.020000
Training Epoch: 19 [45568/47500]	Loss: 0.6263	LR: 0.020000
Training Epoch: 19 [45824/47500]	Loss: 0.6457	LR: 0.020000
Training Epoch: 19 [46080/47500]	Loss: 0.6464	LR: 0.020000
Training Epoch: 19 [46336/47500]	Loss: 0.6382	LR: 0.020000
Training Epoch: 19 [46592/47500]	Loss: 0.5511	LR: 0.020000
Training Epoch: 19 [46848/47500]	Loss: 0.4619	LR: 0.020000
Training Epoch: 19 [47104/47500]	Loss: 0.5904	LR: 0.020000
Training Epoch: 19 [47360/47500]	Loss: 0.6491	LR: 0.020000
Training Epoch: 19 [47500/47500]	Loss: 0.7727	LR: 0.020000
Epoch 19 - Average Train Loss: 0.6333, Train Accuracy: 0.7968
Epoch 19 training time consumed: 26.38s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0035, Accuracy: 0.7313, Time consumed:0.88s
Training Epoch: 20 [256/47500]	Loss: 0.6818	LR: 0.020000
Training Epoch: 20 [512/47500]	Loss: 0.5153	LR: 0.020000
Training Epoch: 20 [768/47500]	Loss: 0.5339	LR: 0.020000
Training Epoch: 20 [1024/47500]	Loss: 0.5457	LR: 0.020000
Training Epoch: 20 [1280/47500]	Loss: 0.6836	LR: 0.020000
Training Epoch: 20 [1536/47500]	Loss: 0.6234	LR: 0.020000
Training Epoch: 20 [1792/47500]	Loss: 0.5959	LR: 0.020000
Training Epoch: 20 [2048/47500]	Loss: 0.6259	LR: 0.020000
Training Epoch: 20 [2304/47500]	Loss: 0.6034	LR: 0.020000
Training Epoch: 20 [2560/47500]	Loss: 0.6178	LR: 0.020000
Training Epoch: 20 [2816/47500]	Loss: 0.6194	LR: 0.020000
Training Epoch: 20 [3072/47500]	Loss: 0.6834	LR: 0.020000
Training Epoch: 20 [3328/47500]	Loss: 0.6429	LR: 0.020000
Training Epoch: 20 [3584/47500]	Loss: 0.5087	LR: 0.020000
Training Epoch: 20 [3840/47500]	Loss: 0.5386	LR: 0.020000
Training Epoch: 20 [4096/47500]	Loss: 0.6585	LR: 0.020000
Training Epoch: 20 [4352/47500]	Loss: 0.7407	LR: 0.020000
Training Epoch: 20 [4608/47500]	Loss: 0.6018	LR: 0.020000
Training Epoch: 20 [4864/47500]	Loss: 0.6815	LR: 0.020000
Training Epoch: 20 [5120/47500]	Loss: 0.5005	LR: 0.020000
Training Epoch: 20 [5376/47500]	Loss: 0.5969	LR: 0.020000
Training Epoch: 20 [5632/47500]	Loss: 0.6338	LR: 0.020000
Training Epoch: 20 [5888/47500]	Loss: 0.7524	LR: 0.020000
Training Epoch: 20 [6144/47500]	Loss: 0.6910	LR: 0.020000
Training Epoch: 20 [6400/47500]	Loss: 0.6635	LR: 0.020000
Training Epoch: 20 [6656/47500]	Loss: 0.5508	LR: 0.020000
Training Epoch: 20 [6912/47500]	Loss: 0.5312	LR: 0.020000
Training Epoch: 20 [7168/47500]	Loss: 0.6183	LR: 0.020000
Training Epoch: 20 [7424/47500]	Loss: 0.6076	LR: 0.020000
Training Epoch: 20 [7680/47500]	Loss: 0.5983	LR: 0.020000
Training Epoch: 20 [7936/47500]	Loss: 0.6853	LR: 0.020000
Training Epoch: 20 [8192/47500]	Loss: 0.5814	LR: 0.020000
Training Epoch: 20 [8448/47500]	Loss: 0.6335	LR: 0.020000
Training Epoch: 20 [8704/47500]	Loss: 0.5805	LR: 0.020000
Training Epoch: 20 [8960/47500]	Loss: 0.6143	LR: 0.020000
Training Epoch: 20 [9216/47500]	Loss: 0.5744	LR: 0.020000
Training Epoch: 20 [9472/47500]	Loss: 0.7229	LR: 0.020000
Training Epoch: 20 [9728/47500]	Loss: 0.6163	LR: 0.020000
Training Epoch: 20 [9984/47500]	Loss: 0.6970	LR: 0.020000
Training Epoch: 20 [10240/47500]	Loss: 0.5704	LR: 0.020000
Training Epoch: 20 [10496/47500]	Loss: 0.5606	LR: 0.020000
Training Epoch: 20 [10752/47500]	Loss: 0.6417	LR: 0.020000
Training Epoch: 20 [11008/47500]	Loss: 0.6010	LR: 0.020000
Training Epoch: 20 [11264/47500]	Loss: 0.6571	LR: 0.020000
Training Epoch: 20 [11520/47500]	Loss: 0.7132	LR: 0.020000
Training Epoch: 20 [11776/47500]	Loss: 0.5711	LR: 0.020000
Training Epoch: 20 [12032/47500]	Loss: 0.6101	LR: 0.020000
Training Epoch: 20 [12288/47500]	Loss: 0.6971	LR: 0.020000
Training Epoch: 20 [12544/47500]	Loss: 0.5876	LR: 0.020000
Training Epoch: 20 [12800/47500]	Loss: 0.6278	LR: 0.020000
Training Epoch: 20 [13056/47500]	Loss: 0.5523	LR: 0.020000
Training Epoch: 20 [13312/47500]	Loss: 0.5581	LR: 0.020000
Training Epoch: 20 [13568/47500]	Loss: 0.5652	LR: 0.020000
Training Epoch: 20 [13824/47500]	Loss: 0.6490	LR: 0.020000
Training Epoch: 20 [14080/47500]	Loss: 0.6692	LR: 0.020000
Training Epoch: 20 [14336/47500]	Loss: 0.7400	LR: 0.020000
Training Epoch: 20 [14592/47500]	Loss: 0.6318	LR: 0.020000
Training Epoch: 20 [14848/47500]	Loss: 0.6930	LR: 0.020000
Training Epoch: 20 [15104/47500]	Loss: 0.6471	LR: 0.020000
Training Epoch: 20 [15360/47500]	Loss: 0.6477	LR: 0.020000
Training Epoch: 20 [15616/47500]	Loss: 0.7333	LR: 0.020000
Training Epoch: 20 [15872/47500]	Loss: 0.7312	LR: 0.020000
Training Epoch: 20 [16128/47500]	Loss: 0.6174	LR: 0.020000
Training Epoch: 20 [16384/47500]	Loss: 0.5766	LR: 0.020000
Training Epoch: 20 [16640/47500]	Loss: 0.5251	LR: 0.020000
Training Epoch: 20 [16896/47500]	Loss: 0.6230	LR: 0.020000
Training Epoch: 20 [17152/47500]	Loss: 0.6113	LR: 0.020000
Training Epoch: 20 [17408/47500]	Loss: 0.5588	LR: 0.020000
Training Epoch: 20 [17664/47500]	Loss: 0.6619	LR: 0.020000
Training Epoch: 20 [17920/47500]	Loss: 0.5405	LR: 0.020000
Training Epoch: 20 [18176/47500]	Loss: 0.5678	LR: 0.020000
Training Epoch: 20 [18432/47500]	Loss: 0.6420	LR: 0.020000
Training Epoch: 20 [18688/47500]	Loss: 0.6375	LR: 0.020000
Training Epoch: 20 [18944/47500]	Loss: 0.5192	LR: 0.020000
Training Epoch: 20 [19200/47500]	Loss: 0.6297	LR: 0.020000
Training Epoch: 20 [19456/47500]	Loss: 0.6793	LR: 0.020000
Training Epoch: 20 [19712/47500]	Loss: 0.5679	LR: 0.020000
Training Epoch: 20 [19968/47500]	Loss: 0.6055	LR: 0.020000
Training Epoch: 20 [20224/47500]	Loss: 0.6346	LR: 0.020000
Training Epoch: 20 [20480/47500]	Loss: 0.4920	LR: 0.020000
Training Epoch: 20 [20736/47500]	Loss: 0.5273	LR: 0.020000
Training Epoch: 20 [20992/47500]	Loss: 0.6980	LR: 0.020000
Training Epoch: 20 [21248/47500]	Loss: 0.6880	LR: 0.020000
Training Epoch: 20 [21504/47500]	Loss: 0.5823	LR: 0.020000
Training Epoch: 20 [21760/47500]	Loss: 0.5858	LR: 0.020000
Training Epoch: 20 [22016/47500]	Loss: 0.5652	LR: 0.020000
Training Epoch: 20 [22272/47500]	Loss: 0.5579	LR: 0.020000
Training Epoch: 20 [22528/47500]	Loss: 0.7651	LR: 0.020000
Training Epoch: 20 [22784/47500]	Loss: 0.5268	LR: 0.020000
Training Epoch: 20 [23040/47500]	Loss: 0.6636	LR: 0.020000
Training Epoch: 20 [23296/47500]	Loss: 0.5539	LR: 0.020000
Training Epoch: 20 [23552/47500]	Loss: 0.5936	LR: 0.020000
Training Epoch: 20 [23808/47500]	Loss: 0.7990	LR: 0.020000
Training Epoch: 20 [24064/47500]	Loss: 0.6353	LR: 0.020000
Training Epoch: 20 [24320/47500]	Loss: 0.6148	LR: 0.020000
Training Epoch: 20 [24576/47500]	Loss: 0.5904	LR: 0.020000
Training Epoch: 20 [24832/47500]	Loss: 0.5960	LR: 0.020000
Training Epoch: 20 [25088/47500]	Loss: 0.5919	LR: 0.020000
Training Epoch: 20 [25344/47500]	Loss: 0.5465	LR: 0.020000
Training Epoch: 20 [25600/47500]	Loss: 0.7084	LR: 0.020000
Training Epoch: 20 [25856/47500]	Loss: 0.5913	LR: 0.020000
Training Epoch: 20 [26112/47500]	Loss: 0.5254	LR: 0.020000
Training Epoch: 20 [26368/47500]	Loss: 0.5246	LR: 0.020000
Training Epoch: 20 [26624/47500]	Loss: 0.5983	LR: 0.020000
Training Epoch: 20 [26880/47500]	Loss: 0.5262	LR: 0.020000
Training Epoch: 20 [27136/47500]	Loss: 0.5053	LR: 0.020000
Training Epoch: 20 [27392/47500]	Loss: 0.5411	LR: 0.020000
Training Epoch: 20 [27648/47500]	Loss: 0.6122	LR: 0.020000
Training Epoch: 20 [27904/47500]	Loss: 0.6577	LR: 0.020000
Training Epoch: 20 [28160/47500]	Loss: 0.5828	LR: 0.020000
Training Epoch: 20 [28416/47500]	Loss: 0.7257	LR: 0.020000
Training Epoch: 20 [28672/47500]	Loss: 0.5934	LR: 0.020000
Training Epoch: 20 [28928/47500]	Loss: 0.5959	LR: 0.020000
Training Epoch: 20 [29184/47500]	Loss: 0.5871	LR: 0.020000
Training Epoch: 20 [29440/47500]	Loss: 0.7335	LR: 0.020000
Training Epoch: 20 [29696/47500]	Loss: 0.5142	LR: 0.020000
Training Epoch: 20 [29952/47500]	Loss: 0.6274	LR: 0.020000
Training Epoch: 20 [30208/47500]	Loss: 0.6548	LR: 0.020000
Training Epoch: 20 [30464/47500]	Loss: 0.5624	LR: 0.020000
Training Epoch: 20 [30720/47500]	Loss: 0.7576	LR: 0.020000
Training Epoch: 20 [30976/47500]	Loss: 0.6166	LR: 0.020000
Training Epoch: 20 [31232/47500]	Loss: 0.5661	LR: 0.020000
Training Epoch: 20 [31488/47500]	Loss: 0.6416	LR: 0.020000
Training Epoch: 20 [31744/47500]	Loss: 0.6477	LR: 0.020000
Training Epoch: 20 [32000/47500]	Loss: 0.7070	LR: 0.020000
Training Epoch: 20 [32256/47500]	Loss: 0.6706	LR: 0.020000
Training Epoch: 20 [32512/47500]	Loss: 0.6089	LR: 0.020000
Training Epoch: 20 [32768/47500]	Loss: 0.5647	LR: 0.020000
Training Epoch: 20 [33024/47500]	Loss: 0.7009	LR: 0.020000
Training Epoch: 20 [33280/47500]	Loss: 0.6423	LR: 0.020000
Training Epoch: 20 [33536/47500]	Loss: 0.6333	LR: 0.020000
Training Epoch: 20 [33792/47500]	Loss: 0.6031	LR: 0.020000
Training Epoch: 20 [34048/47500]	Loss: 0.5895	LR: 0.020000
Training Epoch: 20 [34304/47500]	Loss: 0.5863	LR: 0.020000
Training Epoch: 20 [34560/47500]	Loss: 0.6250	LR: 0.020000
Training Epoch: 20 [34816/47500]	Loss: 0.5787	LR: 0.020000
Training Epoch: 20 [35072/47500]	Loss: 0.6453	LR: 0.020000
Training Epoch: 20 [35328/47500]	Loss: 0.6735	LR: 0.020000
Training Epoch: 20 [35584/47500]	Loss: 0.6197	LR: 0.020000
Training Epoch: 20 [35840/47500]	Loss: 0.5959	LR: 0.020000
Training Epoch: 20 [36096/47500]	Loss: 0.6741	LR: 0.020000
Training Epoch: 20 [36352/47500]	Loss: 0.6571	LR: 0.020000
Training Epoch: 20 [36608/47500]	Loss: 0.5801	LR: 0.020000
Training Epoch: 20 [36864/47500]	Loss: 0.5201	LR: 0.020000
Training Epoch: 20 [37120/47500]	Loss: 0.7285	LR: 0.020000
Training Epoch: 20 [37376/47500]	Loss: 0.5391	LR: 0.020000
Training Epoch: 20 [37632/47500]	Loss: 0.5483	LR: 0.020000
Training Epoch: 20 [37888/47500]	Loss: 0.5334	LR: 0.020000
Training Epoch: 20 [38144/47500]	Loss: 0.7280	LR: 0.020000
Training Epoch: 20 [38400/47500]	Loss: 0.5236	LR: 0.020000
Training Epoch: 20 [38656/47500]	Loss: 0.6190	LR: 0.020000
Training Epoch: 20 [38912/47500]	Loss: 0.5826	LR: 0.020000
Training Epoch: 20 [39168/47500]	Loss: 0.5850	LR: 0.020000
Training Epoch: 20 [39424/47500]	Loss: 0.5504	LR: 0.020000
Training Epoch: 20 [39680/47500]	Loss: 0.7315	LR: 0.020000
Training Epoch: 20 [39936/47500]	Loss: 0.5934	LR: 0.020000
Training Epoch: 20 [40192/47500]	Loss: 0.6198	LR: 0.020000
Training Epoch: 20 [40448/47500]	Loss: 0.5996	LR: 0.020000
Training Epoch: 20 [40704/47500]	Loss: 0.6743	LR: 0.020000
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Training Epoch: 20 [47500/47500]	Loss: 0.5995	LR: 0.020000
Epoch 20 - Average Train Loss: 0.6204, Train Accuracy: 0.8012
Epoch 20 training time consumed: 26.31s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0033, Accuracy: 0.7459, Time consumed:0.97s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_00h_02m_29s/AllCNN-Cifar20-seed10-ret50-20-best.pth
Training Epoch: 21 [256/47500]	Loss: 0.5686	LR: 0.020000
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Epoch 21 - Average Train Loss: 0.6029, Train Accuracy: 0.8048
Epoch 21 training time consumed: 26.75s
Evaluating Network.....
Test set: Epoch: 21, Average loss: 0.0037, Accuracy: 0.7266, Time consumed:0.90s
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Training Epoch: 22 [22016/47500]	Loss: 0.6875	LR: 0.020000
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Training Epoch: 22 [28416/47500]	Loss: 0.5534	LR: 0.020000
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Training Epoch: 22 [29184/47500]	Loss: 0.6346	LR: 0.020000
Training Epoch: 22 [29440/47500]	Loss: 0.5791	LR: 0.020000
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Training Epoch: 22 [32256/47500]	Loss: 0.6128	LR: 0.020000
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Training Epoch: 22 [35328/47500]	Loss: 0.6498	LR: 0.020000
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Training Epoch: 22 [35840/47500]	Loss: 0.5297	LR: 0.020000
Training Epoch: 22 [36096/47500]	Loss: 0.5409	LR: 0.020000
Training Epoch: 22 [36352/47500]	Loss: 0.5608	LR: 0.020000
Training Epoch: 22 [36608/47500]	Loss: 0.5727	LR: 0.020000
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Training Epoch: 22 [37120/47500]	Loss: 0.6208	LR: 0.020000
Training Epoch: 22 [37376/47500]	Loss: 0.6890	LR: 0.020000
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Training Epoch: 22 [40448/47500]	Loss: 0.6743	LR: 0.020000
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Training Epoch: 22 [41216/47500]	Loss: 0.5945	LR: 0.020000
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Training Epoch: 22 [41728/47500]	Loss: 0.5009	LR: 0.020000
Training Epoch: 22 [41984/47500]	Loss: 0.5845	LR: 0.020000
Training Epoch: 22 [42240/47500]	Loss: 0.5212	LR: 0.020000
Training Epoch: 22 [42496/47500]	Loss: 0.5889	LR: 0.020000
Training Epoch: 22 [42752/47500]	Loss: 0.6419	LR: 0.020000
Training Epoch: 22 [43008/47500]	Loss: 0.5544	LR: 0.020000
Training Epoch: 22 [43264/47500]	Loss: 0.6086	LR: 0.020000
Training Epoch: 22 [43520/47500]	Loss: 0.5479	LR: 0.020000
Training Epoch: 22 [43776/47500]	Loss: 0.5616	LR: 0.020000
Training Epoch: 22 [44032/47500]	Loss: 0.6717	LR: 0.020000
Training Epoch: 22 [44288/47500]	Loss: 0.6664	LR: 0.020000
Training Epoch: 22 [44544/47500]	Loss: 0.6358	LR: 0.020000
Training Epoch: 22 [44800/47500]	Loss: 0.6441	LR: 0.020000
Training Epoch: 22 [45056/47500]	Loss: 0.6490	LR: 0.020000
Training Epoch: 22 [45312/47500]	Loss: 0.6362	LR: 0.020000
Training Epoch: 22 [45568/47500]	Loss: 0.6156	LR: 0.020000
Training Epoch: 22 [45824/47500]	Loss: 0.5775	LR: 0.020000
Training Epoch: 22 [46080/47500]	Loss: 0.6742	LR: 0.020000
Training Epoch: 22 [46336/47500]	Loss: 0.5643	LR: 0.020000
Training Epoch: 22 [46592/47500]	Loss: 0.4953	LR: 0.020000
Training Epoch: 22 [46848/47500]	Loss: 0.5885	LR: 0.020000
Training Epoch: 22 [47104/47500]	Loss: 0.6846	LR: 0.020000
Training Epoch: 22 [47360/47500]	Loss: 0.6432	LR: 0.020000
Training Epoch: 22 [47500/47500]	Loss: 0.5361	LR: 0.020000
Epoch 22 - Average Train Loss: 0.5894, Train Accuracy: 0.8094
Epoch 22 training time consumed: 26.34s
Evaluating Network.....
Test set: Epoch: 22, Average loss: 0.0035, Accuracy: 0.7307, Time consumed:1.05s
Training Epoch: 23 [256/47500]	Loss: 0.6162	LR: 0.020000
Training Epoch: 23 [512/47500]	Loss: 0.6279	LR: 0.020000
Training Epoch: 23 [768/47500]	Loss: 0.6071	LR: 0.020000
Training Epoch: 23 [1024/47500]	Loss: 0.6123	LR: 0.020000
Training Epoch: 23 [1280/47500]	Loss: 0.6043	LR: 0.020000
Training Epoch: 23 [1536/47500]	Loss: 0.5580	LR: 0.020000
Training Epoch: 23 [1792/47500]	Loss: 0.6546	LR: 0.020000
Training Epoch: 23 [2048/47500]	Loss: 0.5495	LR: 0.020000
Training Epoch: 23 [2304/47500]	Loss: 0.5723	LR: 0.020000
Training Epoch: 23 [2560/47500]	Loss: 0.5444	LR: 0.020000
Training Epoch: 23 [2816/47500]	Loss: 0.6371	LR: 0.020000
Training Epoch: 23 [3072/47500]	Loss: 0.6057	LR: 0.020000
Training Epoch: 23 [3328/47500]	Loss: 0.5474	LR: 0.020000
Training Epoch: 23 [3584/47500]	Loss: 0.5339	LR: 0.020000
Training Epoch: 23 [3840/47500]	Loss: 0.5728	LR: 0.020000
Training Epoch: 23 [4096/47500]	Loss: 0.4988	LR: 0.020000
Training Epoch: 23 [4352/47500]	Loss: 0.6215	LR: 0.020000
Training Epoch: 23 [4608/47500]	Loss: 0.6444	LR: 0.020000
Training Epoch: 23 [4864/47500]	Loss: 0.6295	LR: 0.020000
Training Epoch: 23 [5120/47500]	Loss: 0.6086	LR: 0.020000
Training Epoch: 23 [5376/47500]	Loss: 0.5223	LR: 0.020000
Training Epoch: 23 [5632/47500]	Loss: 0.5211	LR: 0.020000
Training Epoch: 23 [5888/47500]	Loss: 0.4957	LR: 0.020000
Training Epoch: 23 [6144/47500]	Loss: 0.5903	LR: 0.020000
Training Epoch: 23 [6400/47500]	Loss: 0.4813	LR: 0.020000
Training Epoch: 23 [6656/47500]	Loss: 0.5525	LR: 0.020000
Training Epoch: 23 [6912/47500]	Loss: 0.6543	LR: 0.020000
Training Epoch: 23 [7168/47500]	Loss: 0.4348	LR: 0.020000
Training Epoch: 23 [7424/47500]	Loss: 0.5357	LR: 0.020000
Training Epoch: 23 [7680/47500]	Loss: 0.4866	LR: 0.020000
Training Epoch: 23 [7936/47500]	Loss: 0.5372	LR: 0.020000
Training Epoch: 23 [8192/47500]	Loss: 0.5937	LR: 0.020000
Training Epoch: 23 [8448/47500]	Loss: 0.6580	LR: 0.020000
Training Epoch: 23 [8704/47500]	Loss: 0.5754	LR: 0.020000
Training Epoch: 23 [8960/47500]	Loss: 0.6177	LR: 0.020000
Training Epoch: 23 [9216/47500]	Loss: 0.5869	LR: 0.020000
Training Epoch: 23 [9472/47500]	Loss: 0.5306	LR: 0.020000
Training Epoch: 23 [9728/47500]	Loss: 0.5372	LR: 0.020000
Training Epoch: 23 [9984/47500]	Loss: 0.5961	LR: 0.020000
Training Epoch: 23 [10240/47500]	Loss: 0.6190	LR: 0.020000
Training Epoch: 23 [10496/47500]	Loss: 0.5464	LR: 0.020000
Training Epoch: 23 [10752/47500]	Loss: 0.6480	LR: 0.020000
Training Epoch: 23 [11008/47500]	Loss: 0.5163	LR: 0.020000
Training Epoch: 23 [11264/47500]	Loss: 0.4923	LR: 0.020000
Training Epoch: 23 [11520/47500]	Loss: 0.5390	LR: 0.020000
Training Epoch: 23 [11776/47500]	Loss: 0.5254	LR: 0.020000
Training Epoch: 23 [12032/47500]	Loss: 0.5419	LR: 0.020000
Training Epoch: 23 [12288/47500]	Loss: 0.5668	LR: 0.020000
Training Epoch: 23 [12544/47500]	Loss: 0.5239	LR: 0.020000
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Training Epoch: 23 [18944/47500]	Loss: 0.5317	LR: 0.020000
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Training Epoch: 23 [19456/47500]	Loss: 0.5909	LR: 0.020000
Training Epoch: 23 [19712/47500]	Loss: 0.6279	LR: 0.020000
Training Epoch: 23 [19968/47500]	Loss: 0.6258	LR: 0.020000
Training Epoch: 23 [20224/47500]	Loss: 0.6691	LR: 0.020000
Training Epoch: 23 [20480/47500]	Loss: 0.5544	LR: 0.020000
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Training Epoch: 23 [22016/47500]	Loss: 0.7071	LR: 0.020000
Training Epoch: 23 [22272/47500]	Loss: 0.5543	LR: 0.020000
Training Epoch: 23 [22528/47500]	Loss: 0.5425	LR: 0.020000
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Training Epoch: 23 [26368/47500]	Loss: 0.4814	LR: 0.020000
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Training Epoch: 23 [28416/47500]	Loss: 0.5955	LR: 0.020000
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Training Epoch: 23 [40192/47500]	Loss: 0.6530	LR: 0.020000
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Training Epoch: 23 [44032/47500]	Loss: 0.5423	LR: 0.020000
Training Epoch: 23 [44288/47500]	Loss: 0.5828	LR: 0.020000
Training Epoch: 23 [44544/47500]	Loss: 0.6269	LR: 0.020000
Training Epoch: 23 [44800/47500]	Loss: 0.5064	LR: 0.020000
Training Epoch: 23 [45056/47500]	Loss: 0.6655	LR: 0.020000
Training Epoch: 23 [45312/47500]	Loss: 0.6195	LR: 0.020000
Training Epoch: 23 [45568/47500]	Loss: 0.4600	LR: 0.020000
Training Epoch: 23 [45824/47500]	Loss: 0.6164	LR: 0.020000
Training Epoch: 23 [46080/47500]	Loss: 0.5636	LR: 0.020000
Training Epoch: 23 [46336/47500]	Loss: 0.5455	LR: 0.020000
Training Epoch: 23 [46592/47500]	Loss: 0.5752	LR: 0.020000
Training Epoch: 23 [46848/47500]	Loss: 0.5595	LR: 0.020000
Training Epoch: 23 [47104/47500]	Loss: 0.5835	LR: 0.020000
Training Epoch: 23 [47360/47500]	Loss: 0.7204	LR: 0.020000
Training Epoch: 23 [47500/47500]	Loss: 0.6042	LR: 0.020000
Epoch 23 - Average Train Loss: 0.5754, Train Accuracy: 0.8137
Epoch 23 training time consumed: 26.09s
Evaluating Network.....
Test set: Epoch: 23, Average loss: 0.0035, Accuracy: 0.7395, Time consumed:0.95s
Training Epoch: 24 [256/47500]	Loss: 0.6377	LR: 0.020000
Training Epoch: 24 [512/47500]	Loss: 0.5980	LR: 0.020000
Training Epoch: 24 [768/47500]	Loss: 0.5222	LR: 0.020000
Training Epoch: 24 [1024/47500]	Loss: 0.4631	LR: 0.020000
Training Epoch: 24 [1280/47500]	Loss: 0.5582	LR: 0.020000
Training Epoch: 24 [1536/47500]	Loss: 0.4029	LR: 0.020000
Training Epoch: 24 [1792/47500]	Loss: 0.6040	LR: 0.020000
Training Epoch: 24 [2048/47500]	Loss: 0.5140	LR: 0.020000
Training Epoch: 24 [2304/47500]	Loss: 0.6042	LR: 0.020000
Training Epoch: 24 [2560/47500]	Loss: 0.4618	LR: 0.020000
Training Epoch: 24 [2816/47500]	Loss: 0.4871	LR: 0.020000
Training Epoch: 24 [3072/47500]	Loss: 0.5343	LR: 0.020000
Training Epoch: 24 [3328/47500]	Loss: 0.5032	LR: 0.020000
Training Epoch: 24 [3584/47500]	Loss: 0.5800	LR: 0.020000
Training Epoch: 24 [3840/47500]	Loss: 0.5843	LR: 0.020000
Training Epoch: 24 [4096/47500]	Loss: 0.5516	LR: 0.020000
Training Epoch: 24 [4352/47500]	Loss: 0.4961	LR: 0.020000
Training Epoch: 24 [4608/47500]	Loss: 0.5627	LR: 0.020000
Training Epoch: 24 [4864/47500]	Loss: 0.5502	LR: 0.020000
Training Epoch: 24 [5120/47500]	Loss: 0.5366	LR: 0.020000
Training Epoch: 24 [5376/47500]	Loss: 0.4593	LR: 0.020000
Training Epoch: 24 [5632/47500]	Loss: 0.6103	LR: 0.020000
Training Epoch: 24 [5888/47500]	Loss: 0.5709	LR: 0.020000
Training Epoch: 24 [6144/47500]	Loss: 0.5377	LR: 0.020000
Training Epoch: 24 [6400/47500]	Loss: 0.5594	LR: 0.020000
Training Epoch: 24 [6656/47500]	Loss: 0.4322	LR: 0.020000
Training Epoch: 24 [6912/47500]	Loss: 0.5416	LR: 0.020000
Training Epoch: 24 [7168/47500]	Loss: 0.5949	LR: 0.020000
Training Epoch: 24 [7424/47500]	Loss: 0.5489	LR: 0.020000
Training Epoch: 24 [7680/47500]	Loss: 0.6257	LR: 0.020000
Training Epoch: 24 [7936/47500]	Loss: 0.5803	LR: 0.020000
Training Epoch: 24 [8192/47500]	Loss: 0.5788	LR: 0.020000
Training Epoch: 24 [8448/47500]	Loss: 0.4716	LR: 0.020000
Training Epoch: 24 [8704/47500]	Loss: 0.5063	LR: 0.020000
Training Epoch: 24 [8960/47500]	Loss: 0.4849	LR: 0.020000
Training Epoch: 24 [9216/47500]	Loss: 0.5087	LR: 0.020000
Training Epoch: 24 [9472/47500]	Loss: 0.5216	LR: 0.020000
Training Epoch: 24 [9728/47500]	Loss: 0.4806	LR: 0.020000
Training Epoch: 24 [9984/47500]	Loss: 0.4758	LR: 0.020000
Training Epoch: 24 [10240/47500]	Loss: 0.6269	LR: 0.020000
Training Epoch: 24 [10496/47500]	Loss: 0.5683	LR: 0.020000
Training Epoch: 24 [10752/47500]	Loss: 0.5341	LR: 0.020000
Training Epoch: 24 [11008/47500]	Loss: 0.4423	LR: 0.020000
Training Epoch: 24 [11264/47500]	Loss: 0.5020	LR: 0.020000
Training Epoch: 24 [11520/47500]	Loss: 0.5186	LR: 0.020000
Training Epoch: 24 [11776/47500]	Loss: 0.4968	LR: 0.020000
Training Epoch: 24 [12032/47500]	Loss: 0.5645	LR: 0.020000
Training Epoch: 24 [12288/47500]	Loss: 0.4577	LR: 0.020000
Training Epoch: 24 [12544/47500]	Loss: 0.5287	LR: 0.020000
Training Epoch: 24 [12800/47500]	Loss: 0.6576	LR: 0.020000
Training Epoch: 24 [13056/47500]	Loss: 0.4658	LR: 0.020000
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Training Epoch: 24 [13568/47500]	Loss: 0.6991	LR: 0.020000
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Training Epoch: 24 [14336/47500]	Loss: 0.5301	LR: 0.020000
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Training Epoch: 24 [14848/47500]	Loss: 0.6158	LR: 0.020000
Training Epoch: 24 [15104/47500]	Loss: 0.5259	LR: 0.020000
Training Epoch: 24 [15360/47500]	Loss: 0.6319	LR: 0.020000
Training Epoch: 24 [15616/47500]	Loss: 0.4894	LR: 0.020000
Training Epoch: 24 [15872/47500]	Loss: 0.7256	LR: 0.020000
Training Epoch: 24 [16128/47500]	Loss: 0.6069	LR: 0.020000
Training Epoch: 24 [16384/47500]	Loss: 0.6557	LR: 0.020000
Training Epoch: 24 [16640/47500]	Loss: 0.5265	LR: 0.020000
Training Epoch: 24 [16896/47500]	Loss: 0.6089	LR: 0.020000
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Training Epoch: 24 [17664/47500]	Loss: 0.6422	LR: 0.020000
Training Epoch: 24 [17920/47500]	Loss: 0.5553	LR: 0.020000
Training Epoch: 24 [18176/47500]	Loss: 0.5998	LR: 0.020000
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Training Epoch: 24 [18944/47500]	Loss: 0.5404	LR: 0.020000
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Training Epoch: 24 [20224/47500]	Loss: 0.5197	LR: 0.020000
Training Epoch: 24 [20480/47500]	Loss: 0.5100	LR: 0.020000
Training Epoch: 24 [20736/47500]	Loss: 0.6483	LR: 0.020000
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Training Epoch: 24 [21504/47500]	Loss: 0.5197	LR: 0.020000
Training Epoch: 24 [21760/47500]	Loss: 0.5923	LR: 0.020000
Training Epoch: 24 [22016/47500]	Loss: 0.6020	LR: 0.020000
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Training Epoch: 24 [22528/47500]	Loss: 0.6320	LR: 0.020000
Training Epoch: 24 [22784/47500]	Loss: 0.5096	LR: 0.020000
Training Epoch: 24 [23040/47500]	Loss: 0.6071	LR: 0.020000
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Training Epoch: 24 [40192/47500]	Loss: 0.6020	LR: 0.020000
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Training Epoch: 24 [41728/47500]	Loss: 0.5807	LR: 0.020000
Training Epoch: 24 [41984/47500]	Loss: 0.4388	LR: 0.020000
Training Epoch: 24 [42240/47500]	Loss: 0.5930	LR: 0.020000
Training Epoch: 24 [42496/47500]	Loss: 0.6294	LR: 0.020000
Training Epoch: 24 [42752/47500]	Loss: 0.6634	LR: 0.020000
Training Epoch: 24 [43008/47500]	Loss: 0.6324	LR: 0.020000
Training Epoch: 24 [43264/47500]	Loss: 0.6384	LR: 0.020000
Training Epoch: 24 [43520/47500]	Loss: 0.5264	LR: 0.020000
Training Epoch: 24 [43776/47500]	Loss: 0.6203	LR: 0.020000
Training Epoch: 24 [44032/47500]	Loss: 0.6183	LR: 0.020000
Training Epoch: 24 [44288/47500]	Loss: 0.5873	LR: 0.020000
Training Epoch: 24 [44544/47500]	Loss: 0.5598	LR: 0.020000
Training Epoch: 24 [44800/47500]	Loss: 0.6509	LR: 0.020000
Training Epoch: 24 [45056/47500]	Loss: 0.6067	LR: 0.020000
Training Epoch: 24 [45312/47500]	Loss: 0.6173	LR: 0.020000
Training Epoch: 24 [45568/47500]	Loss: 0.5923	LR: 0.020000
Training Epoch: 24 [45824/47500]	Loss: 0.5850	LR: 0.020000
Training Epoch: 24 [46080/47500]	Loss: 0.6482	LR: 0.020000
Training Epoch: 24 [46336/47500]	Loss: 0.6050	LR: 0.020000
Training Epoch: 24 [46592/47500]	Loss: 0.5414	LR: 0.020000
Training Epoch: 24 [46848/47500]	Loss: 0.6147	LR: 0.020000
Training Epoch: 24 [47104/47500]	Loss: 0.5826	LR: 0.020000
Training Epoch: 24 [47360/47500]	Loss: 0.5681	LR: 0.020000
Training Epoch: 24 [47500/47500]	Loss: 0.6293	LR: 0.020000
Epoch 24 - Average Train Loss: 0.5683, Train Accuracy: 0.8147
Epoch 24 training time consumed: 26.12s
Evaluating Network.....
Test set: Epoch: 24, Average loss: 0.0038, Accuracy: 0.7211, Time consumed:0.94s
Training Epoch: 25 [256/47500]	Loss: 0.5763	LR: 0.020000
Training Epoch: 25 [512/47500]	Loss: 0.5252	LR: 0.020000
Training Epoch: 25 [768/47500]	Loss: 0.6274	LR: 0.020000
Training Epoch: 25 [1024/47500]	Loss: 0.5162	LR: 0.020000
Training Epoch: 25 [1280/47500]	Loss: 0.5202	LR: 0.020000
Training Epoch: 25 [1536/47500]	Loss: 0.4973	LR: 0.020000
Training Epoch: 25 [1792/47500]	Loss: 0.5622	LR: 0.020000
Training Epoch: 25 [2048/47500]	Loss: 0.5290	LR: 0.020000
Training Epoch: 25 [2304/47500]	Loss: 0.5521	LR: 0.020000
Training Epoch: 25 [2560/47500]	Loss: 0.5372	LR: 0.020000
Training Epoch: 25 [2816/47500]	Loss: 0.5601	LR: 0.020000
Training Epoch: 25 [3072/47500]	Loss: 0.5505	LR: 0.020000
Training Epoch: 25 [3328/47500]	Loss: 0.4989	LR: 0.020000
Training Epoch: 25 [3584/47500]	Loss: 0.6115	LR: 0.020000
Training Epoch: 25 [3840/47500]	Loss: 0.5580	LR: 0.020000
Training Epoch: 25 [4096/47500]	Loss: 0.6311	LR: 0.020000
Training Epoch: 25 [4352/47500]	Loss: 0.5723	LR: 0.020000
Training Epoch: 25 [4608/47500]	Loss: 0.5518	LR: 0.020000
Training Epoch: 25 [4864/47500]	Loss: 0.5150	LR: 0.020000
Training Epoch: 25 [5120/47500]	Loss: 0.4585	LR: 0.020000
Training Epoch: 25 [5376/47500]	Loss: 0.5050	LR: 0.020000
Training Epoch: 25 [5632/47500]	Loss: 0.5614	LR: 0.020000
Training Epoch: 25 [5888/47500]	Loss: 0.4717	LR: 0.020000
Training Epoch: 25 [6144/47500]	Loss: 0.5002	LR: 0.020000
Training Epoch: 25 [6400/47500]	Loss: 0.5968	LR: 0.020000
Training Epoch: 25 [6656/47500]	Loss: 0.5508	LR: 0.020000
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Training Epoch: 25 [7168/47500]	Loss: 0.5158	LR: 0.020000
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Training Epoch: 25 [7680/47500]	Loss: 0.6263	LR: 0.020000
Training Epoch: 25 [7936/47500]	Loss: 0.5470	LR: 0.020000
Training Epoch: 25 [8192/47500]	Loss: 0.4450	LR: 0.020000
Training Epoch: 25 [8448/47500]	Loss: 0.5808	LR: 0.020000
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Training Epoch: 25 [10496/47500]	Loss: 0.4942	LR: 0.020000
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Training Epoch: 25 [11008/47500]	Loss: 0.4786	LR: 0.020000
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Training Epoch: 25 [15616/47500]	Loss: 0.4855	LR: 0.020000
Training Epoch: 25 [15872/47500]	Loss: 0.5630	LR: 0.020000
Training Epoch: 25 [16128/47500]	Loss: 0.5846	LR: 0.020000
Training Epoch: 25 [16384/47500]	Loss: 0.5504	LR: 0.020000
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Training Epoch: 25 [16896/47500]	Loss: 0.5572	LR: 0.020000
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Training Epoch: 25 [19200/47500]	Loss: 0.4547	LR: 0.020000
Training Epoch: 25 [19456/47500]	Loss: 0.5644	LR: 0.020000
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Training Epoch: 25 [19968/47500]	Loss: 0.5031	LR: 0.020000
Training Epoch: 25 [20224/47500]	Loss: 0.6519	LR: 0.020000
Training Epoch: 25 [20480/47500]	Loss: 0.5348	LR: 0.020000
Training Epoch: 25 [20736/47500]	Loss: 0.5889	LR: 0.020000
Training Epoch: 25 [20992/47500]	Loss: 0.5532	LR: 0.020000
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Training Epoch: 25 [21504/47500]	Loss: 0.5569	LR: 0.020000
Training Epoch: 25 [21760/47500]	Loss: 0.5468	LR: 0.020000
Training Epoch: 25 [22016/47500]	Loss: 0.4905	LR: 0.020000
Training Epoch: 25 [22272/47500]	Loss: 0.5018	LR: 0.020000
Training Epoch: 25 [22528/47500]	Loss: 0.4851	LR: 0.020000
Training Epoch: 25 [22784/47500]	Loss: 0.5623	LR: 0.020000
Training Epoch: 25 [23040/47500]	Loss: 0.5205	LR: 0.020000
Training Epoch: 25 [23296/47500]	Loss: 0.6455	LR: 0.020000
Training Epoch: 25 [23552/47500]	Loss: 0.4989	LR: 0.020000
Training Epoch: 25 [23808/47500]	Loss: 0.5820	LR: 0.020000
Training Epoch: 25 [24064/47500]	Loss: 0.5698	LR: 0.020000
Training Epoch: 25 [24320/47500]	Loss: 0.5028	LR: 0.020000
Training Epoch: 25 [24576/47500]	Loss: 0.5676	LR: 0.020000
Training Epoch: 25 [24832/47500]	Loss: 0.6105	LR: 0.020000
Training Epoch: 25 [25088/47500]	Loss: 0.6241	LR: 0.020000
Training Epoch: 25 [25344/47500]	Loss: 0.5255	LR: 0.020000
Training Epoch: 25 [25600/47500]	Loss: 0.6085	LR: 0.020000
Training Epoch: 25 [25856/47500]	Loss: 0.5947	LR: 0.020000
Training Epoch: 25 [26112/47500]	Loss: 0.5004	LR: 0.020000
Training Epoch: 25 [26368/47500]	Loss: 0.5055	LR: 0.020000
Training Epoch: 25 [26624/47500]	Loss: 0.5615	LR: 0.020000
Training Epoch: 25 [26880/47500]	Loss: 0.5492	LR: 0.020000
Training Epoch: 25 [27136/47500]	Loss: 0.4815	LR: 0.020000
Training Epoch: 25 [27392/47500]	Loss: 0.4942	LR: 0.020000
Training Epoch: 25 [27648/47500]	Loss: 0.6212	LR: 0.020000
Training Epoch: 25 [27904/47500]	Loss: 0.5512	LR: 0.020000
Training Epoch: 25 [28160/47500]	Loss: 0.5489	LR: 0.020000
Training Epoch: 25 [28416/47500]	Loss: 0.5665	LR: 0.020000
Training Epoch: 25 [28672/47500]	Loss: 0.6493	LR: 0.020000
Training Epoch: 25 [28928/47500]	Loss: 0.5998	LR: 0.020000
Training Epoch: 25 [29184/47500]	Loss: 0.5243	LR: 0.020000
Training Epoch: 25 [29440/47500]	Loss: 0.5079	LR: 0.020000
Training Epoch: 25 [29696/47500]	Loss: 0.5101	LR: 0.020000
Training Epoch: 25 [29952/47500]	Loss: 0.5312	LR: 0.020000
Training Epoch: 25 [30208/47500]	Loss: 0.7005	LR: 0.020000
Training Epoch: 25 [30464/47500]	Loss: 0.5669	LR: 0.020000
Training Epoch: 25 [30720/47500]	Loss: 0.4917	LR: 0.020000
Training Epoch: 25 [30976/47500]	Loss: 0.4785	LR: 0.020000
Training Epoch: 25 [31232/47500]	Loss: 0.5780	LR: 0.020000
Training Epoch: 25 [31488/47500]	Loss: 0.5232	LR: 0.020000
Training Epoch: 25 [31744/47500]	Loss: 0.6348	LR: 0.020000
Training Epoch: 25 [32000/47500]	Loss: 0.5726	LR: 0.020000
Training Epoch: 25 [32256/47500]	Loss: 0.5480	LR: 0.020000
Training Epoch: 25 [32512/47500]	Loss: 0.6616	LR: 0.020000
Training Epoch: 25 [32768/47500]	Loss: 0.5872	LR: 0.020000
Training Epoch: 25 [33024/47500]	Loss: 0.5684	LR: 0.020000
Training Epoch: 25 [33280/47500]	Loss: 0.5441	LR: 0.020000
Training Epoch: 25 [33536/47500]	Loss: 0.4904	LR: 0.020000
Training Epoch: 25 [33792/47500]	Loss: 0.5141	LR: 0.020000
Training Epoch: 25 [34048/47500]	Loss: 0.5901	LR: 0.020000
Training Epoch: 25 [34304/47500]	Loss: 0.5386	LR: 0.020000
Training Epoch: 25 [34560/47500]	Loss: 0.5103	LR: 0.020000
Training Epoch: 25 [34816/47500]	Loss: 0.6315	LR: 0.020000
Training Epoch: 25 [35072/47500]	Loss: 0.6363	LR: 0.020000
Training Epoch: 25 [35328/47500]	Loss: 0.5068	LR: 0.020000
Training Epoch: 25 [35584/47500]	Loss: 0.5725	LR: 0.020000
Training Epoch: 25 [35840/47500]	Loss: 0.6320	LR: 0.020000
Training Epoch: 25 [36096/47500]	Loss: 0.6197	LR: 0.020000
Training Epoch: 25 [36352/47500]	Loss: 0.4872	LR: 0.020000
Training Epoch: 25 [36608/47500]	Loss: 0.5241	LR: 0.020000
Training Epoch: 25 [36864/47500]	Loss: 0.5519	LR: 0.020000
Training Epoch: 25 [37120/47500]	Loss: 0.5577	LR: 0.020000
Training Epoch: 25 [37376/47500]	Loss: 0.6500	LR: 0.020000
Training Epoch: 25 [37632/47500]	Loss: 0.5003	LR: 0.020000
Training Epoch: 25 [37888/47500]	Loss: 0.6011	LR: 0.020000
Training Epoch: 25 [38144/47500]	Loss: 0.6254	LR: 0.020000
Training Epoch: 25 [38400/47500]	Loss: 0.7653	LR: 0.020000
Training Epoch: 25 [38656/47500]	Loss: 0.5273	LR: 0.020000
Training Epoch: 25 [38912/47500]	Loss: 0.5583	LR: 0.020000
Training Epoch: 25 [39168/47500]	Loss: 0.5502	LR: 0.020000
Training Epoch: 25 [39424/47500]	Loss: 0.5953	LR: 0.020000
Training Epoch: 25 [39680/47500]	Loss: 0.5025	LR: 0.020000
Training Epoch: 25 [39936/47500]	Loss: 0.6395	LR: 0.020000
Training Epoch: 25 [40192/47500]	Loss: 0.5990	LR: 0.020000
Training Epoch: 25 [40448/47500]	Loss: 0.5826	LR: 0.020000
Training Epoch: 25 [40704/47500]	Loss: 0.6358	LR: 0.020000
Training Epoch: 25 [40960/47500]	Loss: 0.7108	LR: 0.020000
Training Epoch: 25 [41216/47500]	Loss: 0.5694	LR: 0.020000
Training Epoch: 25 [41472/47500]	Loss: 0.6298	LR: 0.020000
Training Epoch: 25 [41728/47500]	Loss: 0.5551	LR: 0.020000
Training Epoch: 25 [41984/47500]	Loss: 0.5628	LR: 0.020000
Training Epoch: 25 [42240/47500]	Loss: 0.5404	LR: 0.020000
Training Epoch: 25 [42496/47500]	Loss: 0.5110	LR: 0.020000
Training Epoch: 25 [42752/47500]	Loss: 0.6279	LR: 0.020000
Training Epoch: 25 [43008/47500]	Loss: 0.5147	LR: 0.020000
Training Epoch: 25 [43264/47500]	Loss: 0.6744	LR: 0.020000
Training Epoch: 25 [43520/47500]	Loss: 0.6743	LR: 0.020000
Training Epoch: 25 [43776/47500]	Loss: 0.6411	LR: 0.020000
Training Epoch: 25 [44032/47500]	Loss: 0.6596	LR: 0.020000
Training Epoch: 25 [44288/47500]	Loss: 0.4292	LR: 0.020000
Training Epoch: 25 [44544/47500]	Loss: 0.6395	LR: 0.020000
Training Epoch: 25 [44800/47500]	Loss: 0.5051	LR: 0.020000
Training Epoch: 25 [45056/47500]	Loss: 0.5880	LR: 0.020000
Training Epoch: 25 [45312/47500]	Loss: 0.4914	LR: 0.020000
Training Epoch: 25 [45568/47500]	Loss: 0.6209	LR: 0.020000
Training Epoch: 25 [45824/47500]	Loss: 0.4797	LR: 0.020000
Training Epoch: 25 [46080/47500]	Loss: 0.5062	LR: 0.020000
Training Epoch: 25 [46336/47500]	Loss: 0.6348	LR: 0.020000
Training Epoch: 25 [46592/47500]	Loss: 0.5526	LR: 0.020000
Training Epoch: 25 [46848/47500]	Loss: 0.4992	LR: 0.020000
Training Epoch: 25 [47104/47500]	Loss: 0.6091	LR: 0.020000
Training Epoch: 25 [47360/47500]	Loss: 0.4882	LR: 0.020000
Training Epoch: 25 [47500/47500]	Loss: 0.5686	LR: 0.020000
Epoch 25 - Average Train Loss: 0.5542, Train Accuracy: 0.8196
Epoch 25 training time consumed: 26.05s
Evaluating Network.....
Test set: Epoch: 25, Average loss: 0.0035, Accuracy: 0.7375, Time consumed:0.94s
Training Epoch: 26 [256/47500]	Loss: 0.5190	LR: 0.020000
Training Epoch: 26 [512/47500]	Loss: 0.5563	LR: 0.020000
Training Epoch: 26 [768/47500]	Loss: 0.5270	LR: 0.020000
Training Epoch: 26 [1024/47500]	Loss: 0.6118	LR: 0.020000
Training Epoch: 26 [1280/47500]	Loss: 0.5543	LR: 0.020000
Training Epoch: 26 [1536/47500]	Loss: 0.5227	LR: 0.020000
Training Epoch: 26 [1792/47500]	Loss: 0.6455	LR: 0.020000
Training Epoch: 26 [2048/47500]	Loss: 0.5158	LR: 0.020000
Training Epoch: 26 [2304/47500]	Loss: 0.4643	LR: 0.020000
Training Epoch: 26 [2560/47500]	Loss: 0.4646	LR: 0.020000
Training Epoch: 26 [2816/47500]	Loss: 0.4782	LR: 0.020000
Training Epoch: 26 [3072/47500]	Loss: 0.4908	LR: 0.020000
Training Epoch: 26 [3328/47500]	Loss: 0.4707	LR: 0.020000
Training Epoch: 26 [3584/47500]	Loss: 0.6070	LR: 0.020000
Training Epoch: 26 [3840/47500]	Loss: 0.4983	LR: 0.020000
Training Epoch: 26 [4096/47500]	Loss: 0.4836	LR: 0.020000
Training Epoch: 26 [4352/47500]	Loss: 0.5057	LR: 0.020000
Training Epoch: 26 [4608/47500]	Loss: 0.4234	LR: 0.020000
Training Epoch: 26 [4864/47500]	Loss: 0.5270	LR: 0.020000
Training Epoch: 26 [5120/47500]	Loss: 0.4898	LR: 0.020000
Training Epoch: 26 [5376/47500]	Loss: 0.5286	LR: 0.020000
Training Epoch: 26 [5632/47500]	Loss: 0.4627	LR: 0.020000
Training Epoch: 26 [5888/47500]	Loss: 0.4040	LR: 0.020000
Training Epoch: 26 [6144/47500]	Loss: 0.5572	LR: 0.020000
Training Epoch: 26 [6400/47500]	Loss: 0.5868	LR: 0.020000
Training Epoch: 26 [6656/47500]	Loss: 0.5282	LR: 0.020000
Training Epoch: 26 [6912/47500]	Loss: 0.4514	LR: 0.020000
Training Epoch: 26 [7168/47500]	Loss: 0.6013	LR: 0.020000
Training Epoch: 26 [7424/47500]	Loss: 0.5454	LR: 0.020000
Training Epoch: 26 [7680/47500]	Loss: 0.4829	LR: 0.020000
Training Epoch: 26 [7936/47500]	Loss: 0.5642	LR: 0.020000
Training Epoch: 26 [8192/47500]	Loss: 0.5444	LR: 0.020000
Training Epoch: 26 [8448/47500]	Loss: 0.4894	LR: 0.020000
Training Epoch: 26 [8704/47500]	Loss: 0.5915	LR: 0.020000
Training Epoch: 26 [8960/47500]	Loss: 0.5252	LR: 0.020000
Training Epoch: 26 [9216/47500]	Loss: 0.5511	LR: 0.020000
Training Epoch: 26 [9472/47500]	Loss: 0.4401	LR: 0.020000
Training Epoch: 26 [9728/47500]	Loss: 0.4232	LR: 0.020000
Training Epoch: 26 [9984/47500]	Loss: 0.6308	LR: 0.020000
Training Epoch: 26 [10240/47500]	Loss: 0.4903	LR: 0.020000
Training Epoch: 26 [10496/47500]	Loss: 0.5764	LR: 0.020000
Training Epoch: 26 [10752/47500]	Loss: 0.5475	LR: 0.020000
Training Epoch: 26 [11008/47500]	Loss: 0.5576	LR: 0.020000
Training Epoch: 26 [11264/47500]	Loss: 0.5413	LR: 0.020000
Training Epoch: 26 [11520/47500]	Loss: 0.5699	LR: 0.020000
Training Epoch: 26 [11776/47500]	Loss: 0.4294	LR: 0.020000
Training Epoch: 26 [12032/47500]	Loss: 0.4899	LR: 0.020000
Training Epoch: 26 [12288/47500]	Loss: 0.5185	LR: 0.020000
Training Epoch: 26 [12544/47500]	Loss: 0.4982	LR: 0.020000
Training Epoch: 26 [12800/47500]	Loss: 0.5208	LR: 0.020000
Training Epoch: 26 [13056/47500]	Loss: 0.5894	LR: 0.020000
Training Epoch: 26 [13312/47500]	Loss: 0.6073	LR: 0.020000
Training Epoch: 26 [13568/47500]	Loss: 0.6110	LR: 0.020000
Training Epoch: 26 [13824/47500]	Loss: 0.4702	LR: 0.020000
Training Epoch: 26 [14080/47500]	Loss: 0.5715	LR: 0.020000
Training Epoch: 26 [14336/47500]	Loss: 0.5261	LR: 0.020000
Training Epoch: 26 [14592/47500]	Loss: 0.5237	LR: 0.020000
Training Epoch: 26 [14848/47500]	Loss: 0.4778	LR: 0.020000
Training Epoch: 26 [15104/47500]	Loss: 0.5354	LR: 0.020000
Training Epoch: 26 [15360/47500]	Loss: 0.5119	LR: 0.020000
Training Epoch: 26 [15616/47500]	Loss: 0.4749	LR: 0.020000
Training Epoch: 26 [15872/47500]	Loss: 0.5513	LR: 0.020000
Training Epoch: 26 [16128/47500]	Loss: 0.5143	LR: 0.020000
Training Epoch: 26 [16384/47500]	Loss: 0.5011	LR: 0.020000
Training Epoch: 26 [16640/47500]	Loss: 0.4785	LR: 0.020000
Training Epoch: 26 [16896/47500]	Loss: 0.4151	LR: 0.020000
Training Epoch: 26 [17152/47500]	Loss: 0.5304	LR: 0.020000
Training Epoch: 26 [17408/47500]	Loss: 0.6769	LR: 0.020000
Training Epoch: 26 [17664/47500]	Loss: 0.4884	LR: 0.020000
Training Epoch: 26 [17920/47500]	Loss: 0.4799	LR: 0.020000
Training Epoch: 26 [18176/47500]	Loss: 0.5360	LR: 0.020000
Training Epoch: 26 [18432/47500]	Loss: 0.4900	LR: 0.020000
Training Epoch: 26 [18688/47500]	Loss: 0.5609	LR: 0.020000
Training Epoch: 26 [18944/47500]	Loss: 0.5566	LR: 0.020000
Training Epoch: 26 [19200/47500]	Loss: 0.5194	LR: 0.020000
Training Epoch: 26 [19456/47500]	Loss: 0.4357	LR: 0.020000
Training Epoch: 26 [19712/47500]	Loss: 0.6915	LR: 0.020000
Training Epoch: 26 [19968/47500]	Loss: 0.5543	LR: 0.020000
Training Epoch: 26 [20224/47500]	Loss: 0.4791	LR: 0.020000
Training Epoch: 26 [20480/47500]	Loss: 0.5413	LR: 0.020000
Training Epoch: 26 [20736/47500]	Loss: 0.4971	LR: 0.020000
Training Epoch: 26 [20992/47500]	Loss: 0.5582	LR: 0.020000
Training Epoch: 26 [21248/47500]	Loss: 0.6036	LR: 0.020000
Training Epoch: 26 [21504/47500]	Loss: 0.5292	LR: 0.020000
Training Epoch: 26 [21760/47500]	Loss: 0.5390	LR: 0.020000
Training Epoch: 26 [22016/47500]	Loss: 0.6536	LR: 0.020000
Training Epoch: 26 [22272/47500]	Loss: 0.5192	LR: 0.020000
Training Epoch: 26 [22528/47500]	Loss: 0.6289	LR: 0.020000
Training Epoch: 26 [22784/47500]	Loss: 0.6327	LR: 0.020000
Training Epoch: 26 [23040/47500]	Loss: 0.6253	LR: 0.020000
Training Epoch: 26 [23296/47500]	Loss: 0.4694	LR: 0.020000
Training Epoch: 26 [23552/47500]	Loss: 0.5577	LR: 0.020000
Training Epoch: 26 [23808/47500]	Loss: 0.5377	LR: 0.020000
Training Epoch: 26 [24064/47500]	Loss: 0.6093	LR: 0.020000
Training Epoch: 26 [24320/47500]	Loss: 0.5338	LR: 0.020000
Training Epoch: 26 [24576/47500]	Loss: 0.5485	LR: 0.020000
Training Epoch: 26 [24832/47500]	Loss: 0.4836	LR: 0.020000
Training Epoch: 26 [25088/47500]	Loss: 0.5846	LR: 0.020000
Training Epoch: 26 [25344/47500]	Loss: 0.5200	LR: 0.020000
Training Epoch: 26 [25600/47500]	Loss: 0.6362	LR: 0.020000
Training Epoch: 26 [25856/47500]	Loss: 0.5915	LR: 0.020000
Training Epoch: 26 [26112/47500]	Loss: 0.5404	LR: 0.020000
Training Epoch: 26 [26368/47500]	Loss: 0.6064	LR: 0.020000
Training Epoch: 26 [26624/47500]	Loss: 0.5646	LR: 0.020000
Training Epoch: 26 [26880/47500]	Loss: 0.4560	LR: 0.020000
Training Epoch: 26 [27136/47500]	Loss: 0.5526	LR: 0.020000
Training Epoch: 26 [27392/47500]	Loss: 0.6660	LR: 0.020000
Training Epoch: 26 [27648/47500]	Loss: 0.4634	LR: 0.020000
Training Epoch: 26 [27904/47500]	Loss: 0.5760	LR: 0.020000
Training Epoch: 26 [28160/47500]	Loss: 0.4782	LR: 0.020000
Training Epoch: 26 [28416/47500]	Loss: 0.5366	LR: 0.020000
Training Epoch: 26 [28672/47500]	Loss: 0.5566	LR: 0.020000
Training Epoch: 26 [28928/47500]	Loss: 0.5877	LR: 0.020000
Training Epoch: 26 [29184/47500]	Loss: 0.4599	LR: 0.020000
Training Epoch: 26 [29440/47500]	Loss: 0.5405	LR: 0.020000
Training Epoch: 26 [29696/47500]	Loss: 0.5058	LR: 0.020000
Training Epoch: 26 [29952/47500]	Loss: 0.5857	LR: 0.020000
Training Epoch: 26 [30208/47500]	Loss: 0.4319	LR: 0.020000
Training Epoch: 26 [30464/47500]	Loss: 0.5238	LR: 0.020000
Training Epoch: 26 [30720/47500]	Loss: 0.4783	LR: 0.020000
Training Epoch: 26 [30976/47500]	Loss: 0.5450	LR: 0.020000
Training Epoch: 26 [31232/47500]	Loss: 0.5670	LR: 0.020000
Training Epoch: 26 [31488/47500]	Loss: 0.5405	LR: 0.020000
Training Epoch: 26 [31744/47500]	Loss: 0.7061	LR: 0.020000
Training Epoch: 26 [32000/47500]	Loss: 0.5704	LR: 0.020000
Training Epoch: 26 [32256/47500]	Loss: 0.6637	LR: 0.020000
Training Epoch: 26 [32512/47500]	Loss: 0.5586	LR: 0.020000
Training Epoch: 26 [32768/47500]	Loss: 0.5248	LR: 0.020000
Training Epoch: 26 [33024/47500]	Loss: 0.5479	LR: 0.020000
Training Epoch: 26 [33280/47500]	Loss: 0.5721	LR: 0.020000
Training Epoch: 26 [33536/47500]	Loss: 0.5810	LR: 0.020000
Training Epoch: 26 [33792/47500]	Loss: 0.6149	LR: 0.020000
Training Epoch: 26 [34048/47500]	Loss: 0.5655	LR: 0.020000
Training Epoch: 26 [34304/47500]	Loss: 0.5979	LR: 0.020000
Training Epoch: 26 [34560/47500]	Loss: 0.4912	LR: 0.020000
Training Epoch: 26 [34816/47500]	Loss: 0.5160	LR: 0.020000
Training Epoch: 26 [35072/47500]	Loss: 0.4934	LR: 0.020000
Training Epoch: 26 [35328/47500]	Loss: 0.6572	LR: 0.020000
Training Epoch: 26 [35584/47500]	Loss: 0.5585	LR: 0.020000
Training Epoch: 26 [35840/47500]	Loss: 0.5872	LR: 0.020000
Training Epoch: 26 [36096/47500]	Loss: 0.5148	LR: 0.020000
Training Epoch: 26 [36352/47500]	Loss: 0.5275	LR: 0.020000
Training Epoch: 26 [36608/47500]	Loss: 0.4737	LR: 0.020000
Training Epoch: 26 [36864/47500]	Loss: 0.5265	LR: 0.020000
Training Epoch: 26 [37120/47500]	Loss: 0.5813	LR: 0.020000
Training Epoch: 26 [37376/47500]	Loss: 0.6226	LR: 0.020000
Training Epoch: 26 [37632/47500]	Loss: 0.5342	LR: 0.020000
Training Epoch: 26 [37888/47500]	Loss: 0.5384	LR: 0.020000
Training Epoch: 26 [38144/47500]	Loss: 0.6116	LR: 0.020000
Training Epoch: 26 [38400/47500]	Loss: 0.5220	LR: 0.020000
Training Epoch: 26 [38656/47500]	Loss: 0.6091	LR: 0.020000
Training Epoch: 26 [38912/47500]	Loss: 0.5837	LR: 0.020000
Training Epoch: 26 [39168/47500]	Loss: 0.5151	LR: 0.020000
Training Epoch: 26 [39424/47500]	Loss: 0.4998	LR: 0.020000
Training Epoch: 26 [39680/47500]	Loss: 0.5982	LR: 0.020000
Training Epoch: 26 [39936/47500]	Loss: 0.6387	LR: 0.020000
Training Epoch: 26 [40192/47500]	Loss: 0.5957	LR: 0.020000
Training Epoch: 26 [40448/47500]	Loss: 0.4931	LR: 0.020000
Training Epoch: 26 [40704/47500]	Loss: 0.5344	LR: 0.020000
Training Epoch: 26 [40960/47500]	Loss: 0.5954	LR: 0.020000
Training Epoch: 26 [41216/47500]	Loss: 0.6480	LR: 0.020000
Training Epoch: 26 [41472/47500]	Loss: 0.6091	LR: 0.020000
Training Epoch: 26 [41728/47500]	Loss: 0.5805	LR: 0.020000
Training Epoch: 26 [41984/47500]	Loss: 0.4494	LR: 0.020000
Training Epoch: 26 [42240/47500]	Loss: 0.5340	LR: 0.020000
Training Epoch: 26 [42496/47500]	Loss: 0.6665	LR: 0.020000
Training Epoch: 26 [42752/47500]	Loss: 0.5227	LR: 0.020000
Training Epoch: 26 [43008/47500]	Loss: 0.6627	LR: 0.020000
Training Epoch: 26 [43264/47500]	Loss: 0.6341	LR: 0.020000
Training Epoch: 26 [43520/47500]	Loss: 0.6261	LR: 0.020000
Training Epoch: 26 [43776/47500]	Loss: 0.5936	LR: 0.020000
Training Epoch: 26 [44032/47500]	Loss: 0.4322	LR: 0.020000
Training Epoch: 26 [44288/47500]	Loss: 0.4532	LR: 0.020000
Training Epoch: 26 [44544/47500]	Loss: 0.5706	LR: 0.020000
Training Epoch: 26 [44800/47500]	Loss: 0.6293	LR: 0.020000
Training Epoch: 26 [45056/47500]	Loss: 0.5158	LR: 0.020000
Training Epoch: 26 [45312/47500]	Loss: 0.5638	LR: 0.020000
Training Epoch: 26 [45568/47500]	Loss: 0.6139	LR: 0.020000
Training Epoch: 26 [45824/47500]	Loss: 0.5491	LR: 0.020000
Training Epoch: 26 [46080/47500]	Loss: 0.5508	LR: 0.020000
Training Epoch: 26 [46336/47500]	Loss: 0.5440	LR: 0.020000
Training Epoch: 26 [46592/47500]	Loss: 0.6431	LR: 0.020000
Training Epoch: 26 [46848/47500]	Loss: 0.5876	LR: 0.020000
Training Epoch: 26 [47104/47500]	Loss: 0.5487	LR: 0.020000
Training Epoch: 26 [47360/47500]	Loss: 0.6080	LR: 0.020000
Training Epoch: 26 [47500/47500]	Loss: 0.5854	LR: 0.020000
Epoch 26 - Average Train Loss: 0.5449, Train Accuracy: 0.8225
Epoch 26 training time consumed: 25.89s
Evaluating Network.....
Test set: Epoch: 26, Average loss: 0.0037, Accuracy: 0.7252, Time consumed:0.90s
Training Epoch: 27 [256/47500]	Loss: 0.5541	LR: 0.020000
Training Epoch: 27 [512/47500]	Loss: 0.5358	LR: 0.020000
Training Epoch: 27 [768/47500]	Loss: 0.4821	LR: 0.020000
Training Epoch: 27 [1024/47500]	Loss: 0.5068	LR: 0.020000
Training Epoch: 27 [1280/47500]	Loss: 0.4638	LR: 0.020000
Training Epoch: 27 [1536/47500]	Loss: 0.5059	LR: 0.020000
Training Epoch: 27 [1792/47500]	Loss: 0.5020	LR: 0.020000
Training Epoch: 27 [2048/47500]	Loss: 0.6019	LR: 0.020000
Training Epoch: 27 [2304/47500]	Loss: 0.4678	LR: 0.020000
Training Epoch: 27 [2560/47500]	Loss: 0.5544	LR: 0.020000
Training Epoch: 27 [2816/47500]	Loss: 0.4880	LR: 0.020000
Training Epoch: 27 [3072/47500]	Loss: 0.5705	LR: 0.020000
Training Epoch: 27 [3328/47500]	Loss: 0.4522	LR: 0.020000
Training Epoch: 27 [3584/47500]	Loss: 0.5618	LR: 0.020000
Training Epoch: 27 [3840/47500]	Loss: 0.5026	LR: 0.020000
Training Epoch: 27 [4096/47500]	Loss: 0.5675	LR: 0.020000
Training Epoch: 27 [4352/47500]	Loss: 0.4657	LR: 0.020000
Training Epoch: 27 [4608/47500]	Loss: 0.4745	LR: 0.020000
Training Epoch: 27 [4864/47500]	Loss: 0.6052	LR: 0.020000
Training Epoch: 27 [5120/47500]	Loss: 0.4806	LR: 0.020000
Training Epoch: 27 [5376/47500]	Loss: 0.5706	LR: 0.020000
Training Epoch: 27 [5632/47500]	Loss: 0.5091	LR: 0.020000
Training Epoch: 27 [5888/47500]	Loss: 0.5498	LR: 0.020000
Training Epoch: 27 [6144/47500]	Loss: 0.5771	LR: 0.020000
Training Epoch: 27 [6400/47500]	Loss: 0.5865	LR: 0.020000
Training Epoch: 27 [6656/47500]	Loss: 0.6358	LR: 0.020000
Training Epoch: 27 [6912/47500]	Loss: 0.5178	LR: 0.020000
Training Epoch: 27 [7168/47500]	Loss: 0.5961	LR: 0.020000
Training Epoch: 27 [7424/47500]	Loss: 0.5588	LR: 0.020000
Training Epoch: 27 [7680/47500]	Loss: 0.4814	LR: 0.020000
Training Epoch: 27 [7936/47500]	Loss: 0.5070	LR: 0.020000
Training Epoch: 27 [8192/47500]	Loss: 0.4743	LR: 0.020000
Training Epoch: 27 [8448/47500]	Loss: 0.4011	LR: 0.020000
Training Epoch: 27 [8704/47500]	Loss: 0.4486	LR: 0.020000
Training Epoch: 27 [8960/47500]	Loss: 0.4978	LR: 0.020000
Training Epoch: 27 [9216/47500]	Loss: 0.4993	LR: 0.020000
Training Epoch: 27 [9472/47500]	Loss: 0.5853	LR: 0.020000
Training Epoch: 27 [9728/47500]	Loss: 0.5818	LR: 0.020000
Training Epoch: 27 [9984/47500]	Loss: 0.5394	LR: 0.020000
Training Epoch: 27 [10240/47500]	Loss: 0.4521	LR: 0.020000
Training Epoch: 27 [10496/47500]	Loss: 0.5670	LR: 0.020000
Training Epoch: 27 [10752/47500]	Loss: 0.4581	LR: 0.020000
Training Epoch: 27 [11008/47500]	Loss: 0.5143	LR: 0.020000
Training Epoch: 27 [11264/47500]	Loss: 0.5432	LR: 0.020000
Training Epoch: 27 [11520/47500]	Loss: 0.5353	LR: 0.020000
Training Epoch: 27 [11776/47500]	Loss: 0.3898	LR: 0.020000
Training Epoch: 27 [12032/47500]	Loss: 0.5397	LR: 0.020000
Training Epoch: 27 [12288/47500]	Loss: 0.6273	LR: 0.020000
Training Epoch: 27 [12544/47500]	Loss: 0.4769	LR: 0.020000
Training Epoch: 27 [12800/47500]	Loss: 0.4710	LR: 0.020000
Training Epoch: 27 [13056/47500]	Loss: 0.5020	LR: 0.020000
Training Epoch: 27 [13312/47500]	Loss: 0.6089	LR: 0.020000
Training Epoch: 27 [13568/47500]	Loss: 0.5514	LR: 0.020000
Training Epoch: 27 [13824/47500]	Loss: 0.5680	LR: 0.020000
Training Epoch: 27 [14080/47500]	Loss: 0.5022	LR: 0.020000
Training Epoch: 27 [14336/47500]	Loss: 0.5723	LR: 0.020000
Training Epoch: 27 [14592/47500]	Loss: 0.5944	LR: 0.020000
Training Epoch: 27 [14848/47500]	Loss: 0.5795	LR: 0.020000
Training Epoch: 27 [15104/47500]	Loss: 0.5343	LR: 0.020000
Training Epoch: 27 [15360/47500]	Loss: 0.5576	LR: 0.020000
Training Epoch: 27 [15616/47500]	Loss: 0.4848	LR: 0.020000
Training Epoch: 27 [15872/47500]	Loss: 0.4914	LR: 0.020000
Training Epoch: 27 [16128/47500]	Loss: 0.4340	LR: 0.020000
Training Epoch: 27 [16384/47500]	Loss: 0.5176	LR: 0.020000
Training Epoch: 27 [16640/47500]	Loss: 0.5763	LR: 0.020000
Training Epoch: 27 [16896/47500]	Loss: 0.4525	LR: 0.020000
Training Epoch: 27 [17152/47500]	Loss: 0.5099	LR: 0.020000
Training Epoch: 27 [17408/47500]	Loss: 0.5215	LR: 0.020000
Training Epoch: 27 [17664/47500]	Loss: 0.4750	LR: 0.020000
Training Epoch: 27 [17920/47500]	Loss: 0.6562	LR: 0.020000
Training Epoch: 27 [18176/47500]	Loss: 0.4960	LR: 0.020000
Training Epoch: 27 [18432/47500]	Loss: 0.4946	LR: 0.020000
Training Epoch: 27 [18688/47500]	Loss: 0.6906	LR: 0.020000
Training Epoch: 27 [18944/47500]	Loss: 0.5435	LR: 0.020000
Training Epoch: 27 [19200/47500]	Loss: 0.5138	LR: 0.020000
Training Epoch: 27 [19456/47500]	Loss: 0.4947	LR: 0.020000
Training Epoch: 27 [19712/47500]	Loss: 0.4540	LR: 0.020000
Training Epoch: 27 [19968/47500]	Loss: 0.5937	LR: 0.020000
Training Epoch: 27 [20224/47500]	Loss: 0.4710	LR: 0.020000
Training Epoch: 27 [20480/47500]	Loss: 0.6361	LR: 0.020000
Training Epoch: 27 [20736/47500]	Loss: 0.5223	LR: 0.020000
Training Epoch: 27 [20992/47500]	Loss: 0.5981	LR: 0.020000
Training Epoch: 27 [21248/47500]	Loss: 0.5283	LR: 0.020000
Training Epoch: 27 [21504/47500]	Loss: 0.4372	LR: 0.020000
Training Epoch: 27 [21760/47500]	Loss: 0.4766	LR: 0.020000
Training Epoch: 27 [22016/47500]	Loss: 0.5614	LR: 0.020000
Training Epoch: 27 [22272/47500]	Loss: 0.5057	LR: 0.020000
Training Epoch: 27 [22528/47500]	Loss: 0.5580	LR: 0.020000
Training Epoch: 27 [22784/47500]	Loss: 0.5170	LR: 0.020000
Training Epoch: 27 [23040/47500]	Loss: 0.4564	LR: 0.020000
Training Epoch: 27 [23296/47500]	Loss: 0.5535	LR: 0.020000
Training Epoch: 27 [23552/47500]	Loss: 0.5052	LR: 0.020000
Training Epoch: 27 [23808/47500]	Loss: 0.4927	LR: 0.020000
Training Epoch: 27 [24064/47500]	Loss: 0.5090	LR: 0.020000
Training Epoch: 27 [24320/47500]	Loss: 0.4644	LR: 0.020000
Training Epoch: 27 [24576/47500]	Loss: 0.5220	LR: 0.020000
Training Epoch: 27 [24832/47500]	Loss: 0.5540	LR: 0.020000
Training Epoch: 27 [25088/47500]	Loss: 0.6251	LR: 0.020000
Training Epoch: 27 [25344/47500]	Loss: 0.4717	LR: 0.020000
Training Epoch: 27 [25600/47500]	Loss: 0.4545	LR: 0.020000
Training Epoch: 27 [25856/47500]	Loss: 0.5170	LR: 0.020000
Training Epoch: 27 [26112/47500]	Loss: 0.6090	LR: 0.020000
Training Epoch: 27 [26368/47500]	Loss: 0.5804	LR: 0.020000
Training Epoch: 27 [26624/47500]	Loss: 0.5407	LR: 0.020000
Training Epoch: 27 [26880/47500]	Loss: 0.6428	LR: 0.020000
Training Epoch: 27 [27136/47500]	Loss: 0.4855	LR: 0.020000
Training Epoch: 27 [27392/47500]	Loss: 0.5592	LR: 0.020000
Training Epoch: 27 [27648/47500]	Loss: 0.5916	LR: 0.020000
Training Epoch: 27 [27904/47500]	Loss: 0.5182	LR: 0.020000
Training Epoch: 27 [28160/47500]	Loss: 0.5797	LR: 0.020000
Training Epoch: 27 [28416/47500]	Loss: 0.6123	LR: 0.020000
Training Epoch: 27 [28672/47500]	Loss: 0.4591	LR: 0.020000
Training Epoch: 27 [28928/47500]	Loss: 0.5856	LR: 0.020000
Training Epoch: 27 [29184/47500]	Loss: 0.5502	LR: 0.020000
Training Epoch: 27 [29440/47500]	Loss: 0.5121	LR: 0.020000
Training Epoch: 27 [29696/47500]	Loss: 0.6830	LR: 0.020000
Training Epoch: 27 [29952/47500]	Loss: 0.6464	LR: 0.020000
Training Epoch: 27 [30208/47500]	Loss: 0.4822	LR: 0.020000
Training Epoch: 27 [30464/47500]	Loss: 0.5382	LR: 0.020000
Training Epoch: 27 [30720/47500]	Loss: 0.4129	LR: 0.020000
Training Epoch: 27 [30976/47500]	Loss: 0.5611	LR: 0.020000
Training Epoch: 27 [31232/47500]	Loss: 0.4636	LR: 0.020000
Training Epoch: 27 [31488/47500]	Loss: 0.5119	LR: 0.020000
Training Epoch: 27 [31744/47500]	Loss: 0.4857	LR: 0.020000
Training Epoch: 27 [32000/47500]	Loss: 0.5624	LR: 0.020000
Training Epoch: 27 [32256/47500]	Loss: 0.4756	LR: 0.020000
Training Epoch: 27 [32512/47500]	Loss: 0.5795	LR: 0.020000
Training Epoch: 27 [32768/47500]	Loss: 0.5636	LR: 0.020000
Training Epoch: 27 [33024/47500]	Loss: 0.6089	LR: 0.020000
Training Epoch: 27 [33280/47500]	Loss: 0.4970	LR: 0.020000
Training Epoch: 27 [33536/47500]	Loss: 0.6301	LR: 0.020000
Training Epoch: 27 [33792/47500]	Loss: 0.6347	LR: 0.020000
Training Epoch: 27 [34048/47500]	Loss: 0.5350	LR: 0.020000
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Training Epoch: 27 [34560/47500]	Loss: 0.5913	LR: 0.020000
Training Epoch: 27 [34816/47500]	Loss: 0.4856	LR: 0.020000
Training Epoch: 27 [35072/47500]	Loss: 0.4606	LR: 0.020000
Training Epoch: 27 [35328/47500]	Loss: 0.4623	LR: 0.020000
Training Epoch: 27 [35584/47500]	Loss: 0.5018	LR: 0.020000
Training Epoch: 27 [35840/47500]	Loss: 0.5322	LR: 0.020000
Training Epoch: 27 [36096/47500]	Loss: 0.4795	LR: 0.020000
Training Epoch: 27 [36352/47500]	Loss: 0.4977	LR: 0.020000
Training Epoch: 27 [36608/47500]	Loss: 0.5752	LR: 0.020000
Training Epoch: 27 [36864/47500]	Loss: 0.5077	LR: 0.020000
Training Epoch: 27 [37120/47500]	Loss: 0.5493	LR: 0.020000
Training Epoch: 27 [37376/47500]	Loss: 0.5562	LR: 0.020000
Training Epoch: 27 [37632/47500]	Loss: 0.5294	LR: 0.020000
Training Epoch: 27 [37888/47500]	Loss: 0.5693	LR: 0.020000
Training Epoch: 27 [38144/47500]	Loss: 0.5586	LR: 0.020000
Training Epoch: 27 [38400/47500]	Loss: 0.4812	LR: 0.020000
Training Epoch: 27 [38656/47500]	Loss: 0.5513	LR: 0.020000
Training Epoch: 27 [38912/47500]	Loss: 0.5964	LR: 0.020000
Training Epoch: 27 [39168/47500]	Loss: 0.5829	LR: 0.020000
Training Epoch: 27 [39424/47500]	Loss: 0.4838	LR: 0.020000
Training Epoch: 27 [39680/47500]	Loss: 0.5773	LR: 0.020000
Training Epoch: 27 [39936/47500]	Loss: 0.5312	LR: 0.020000
Training Epoch: 27 [40192/47500]	Loss: 0.4683	LR: 0.020000
Training Epoch: 27 [40448/47500]	Loss: 0.5230	LR: 0.020000
Training Epoch: 27 [40704/47500]	Loss: 0.5388	LR: 0.020000
Training Epoch: 27 [40960/47500]	Loss: 0.6377	LR: 0.020000
Training Epoch: 27 [41216/47500]	Loss: 0.5080	LR: 0.020000
Training Epoch: 27 [41472/47500]	Loss: 0.4426	LR: 0.020000
Training Epoch: 27 [41728/47500]	Loss: 0.5949	LR: 0.020000
Training Epoch: 27 [41984/47500]	Loss: 0.5234	LR: 0.020000
Training Epoch: 27 [42240/47500]	Loss: 0.5554	LR: 0.020000
Training Epoch: 27 [42496/47500]	Loss: 0.5975	LR: 0.020000
Training Epoch: 27 [42752/47500]	Loss: 0.5323	LR: 0.020000
Training Epoch: 27 [43008/47500]	Loss: 0.6146	LR: 0.020000
Training Epoch: 27 [43264/47500]	Loss: 0.5425	LR: 0.020000
Training Epoch: 27 [43520/47500]	Loss: 0.5235	LR: 0.020000
Training Epoch: 27 [43776/47500]	Loss: 0.6080	LR: 0.020000
Training Epoch: 27 [44032/47500]	Loss: 0.6111	LR: 0.020000
Training Epoch: 27 [44288/47500]	Loss: 0.5692	LR: 0.020000
Training Epoch: 27 [44544/47500]	Loss: 0.5134	LR: 0.020000
Training Epoch: 27 [44800/47500]	Loss: 0.4985	LR: 0.020000
Training Epoch: 27 [45056/47500]	Loss: 0.4361	LR: 0.020000
Training Epoch: 27 [45312/47500]	Loss: 0.5385	LR: 0.020000
Training Epoch: 27 [45568/47500]	Loss: 0.5615	LR: 0.020000
Training Epoch: 27 [45824/47500]	Loss: 0.6527	LR: 0.020000
Training Epoch: 27 [46080/47500]	Loss: 0.6005	LR: 0.020000
Training Epoch: 27 [46336/47500]	Loss: 0.7057	LR: 0.020000
Training Epoch: 27 [46592/47500]	Loss: 0.4727	LR: 0.020000
Training Epoch: 27 [46848/47500]	Loss: 0.6090	LR: 0.020000
Training Epoch: 27 [47104/47500]	Loss: 0.5115	LR: 0.020000
Training Epoch: 27 [47360/47500]	Loss: 0.6139	LR: 0.020000
Training Epoch: 27 [47500/47500]	Loss: 0.4482	LR: 0.020000
Epoch 27 - Average Train Loss: 0.5344, Train Accuracy: 0.8264
Epoch 27 training time consumed: 25.95s
Evaluating Network.....
Test set: Epoch: 27, Average loss: 0.0040, Accuracy: 0.7189, Time consumed:0.87s
Training Epoch: 28 [256/47500]	Loss: 0.5490	LR: 0.020000
Training Epoch: 28 [512/47500]	Loss: 0.4691	LR: 0.020000
Training Epoch: 28 [768/47500]	Loss: 0.5211	LR: 0.020000
Training Epoch: 28 [1024/47500]	Loss: 0.4646	LR: 0.020000
Training Epoch: 28 [1280/47500]	Loss: 0.4511	LR: 0.020000
Training Epoch: 28 [1536/47500]	Loss: 0.4440	LR: 0.020000
Training Epoch: 28 [1792/47500]	Loss: 0.4955	LR: 0.020000
Training Epoch: 28 [2048/47500]	Loss: 0.5607	LR: 0.020000
Training Epoch: 28 [2304/47500]	Loss: 0.5662	LR: 0.020000
Training Epoch: 28 [2560/47500]	Loss: 0.4986	LR: 0.020000
Training Epoch: 28 [2816/47500]	Loss: 0.5142	LR: 0.020000
Training Epoch: 28 [3072/47500]	Loss: 0.5369	LR: 0.020000
Training Epoch: 28 [3328/47500]	Loss: 0.5620	LR: 0.020000
Training Epoch: 28 [3584/47500]	Loss: 0.5441	LR: 0.020000
Training Epoch: 28 [3840/47500]	Loss: 0.5627	LR: 0.020000
Training Epoch: 28 [4096/47500]	Loss: 0.4901	LR: 0.020000
Training Epoch: 28 [4352/47500]	Loss: 0.4811	LR: 0.020000
Training Epoch: 28 [4608/47500]	Loss: 0.4424	LR: 0.020000
Training Epoch: 28 [4864/47500]	Loss: 0.5110	LR: 0.020000
Training Epoch: 28 [5120/47500]	Loss: 0.6149	LR: 0.020000
Training Epoch: 28 [5376/47500]	Loss: 0.3817	LR: 0.020000
Training Epoch: 28 [5632/47500]	Loss: 0.4829	LR: 0.020000
Training Epoch: 28 [5888/47500]	Loss: 0.4740	LR: 0.020000
Training Epoch: 28 [6144/47500]	Loss: 0.4980	LR: 0.020000
Training Epoch: 28 [6400/47500]	Loss: 0.4914	LR: 0.020000
Training Epoch: 28 [6656/47500]	Loss: 0.4266	LR: 0.020000
Training Epoch: 28 [6912/47500]	Loss: 0.5201	LR: 0.020000
Training Epoch: 28 [7168/47500]	Loss: 0.5402	LR: 0.020000
Training Epoch: 28 [7424/47500]	Loss: 0.4602	LR: 0.020000
Training Epoch: 28 [7680/47500]	Loss: 0.5207	LR: 0.020000
Training Epoch: 28 [7936/47500]	Loss: 0.4859	LR: 0.020000
Training Epoch: 28 [8192/47500]	Loss: 0.5363	LR: 0.020000
Training Epoch: 28 [8448/47500]	Loss: 0.4822	LR: 0.020000
Training Epoch: 28 [8704/47500]	Loss: 0.4696	LR: 0.020000
Training Epoch: 28 [8960/47500]	Loss: 0.4345	LR: 0.020000
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Training Epoch: 28 [9984/47500]	Loss: 0.5665	LR: 0.020000
Training Epoch: 28 [10240/47500]	Loss: 0.4847	LR: 0.020000
Training Epoch: 28 [10496/47500]	Loss: 0.4680	LR: 0.020000
Training Epoch: 28 [10752/47500]	Loss: 0.5183	LR: 0.020000
Training Epoch: 28 [11008/47500]	Loss: 0.4757	LR: 0.020000
Training Epoch: 28 [11264/47500]	Loss: 0.5017	LR: 0.020000
Training Epoch: 28 [11520/47500]	Loss: 0.4805	LR: 0.020000
Training Epoch: 28 [11776/47500]	Loss: 0.5287	LR: 0.020000
Training Epoch: 28 [12032/47500]	Loss: 0.4683	LR: 0.020000
Training Epoch: 28 [12288/47500]	Loss: 0.5214	LR: 0.020000
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Training Epoch: 28 [13568/47500]	Loss: 0.5176	LR: 0.020000
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Training Epoch: 28 [14080/47500]	Loss: 0.5625	LR: 0.020000
Training Epoch: 28 [14336/47500]	Loss: 0.4838	LR: 0.020000
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Training Epoch: 28 [15104/47500]	Loss: 0.6140	LR: 0.020000
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Training Epoch: 28 [15872/47500]	Loss: 0.4179	LR: 0.020000
Training Epoch: 28 [16128/47500]	Loss: 0.5427	LR: 0.020000
Training Epoch: 28 [16384/47500]	Loss: 0.5446	LR: 0.020000
Training Epoch: 28 [16640/47500]	Loss: 0.4550	LR: 0.020000
Training Epoch: 28 [16896/47500]	Loss: 0.4439	LR: 0.020000
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Training Epoch: 28 [17408/47500]	Loss: 0.4588	LR: 0.020000
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Training Epoch: 28 [18176/47500]	Loss: 0.5088	LR: 0.020000
Training Epoch: 28 [18432/47500]	Loss: 0.4480	LR: 0.020000
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Training Epoch: 28 [18944/47500]	Loss: 0.5708	LR: 0.020000
Training Epoch: 28 [19200/47500]	Loss: 0.4830	LR: 0.020000
Training Epoch: 28 [19456/47500]	Loss: 0.5093	LR: 0.020000
Training Epoch: 28 [19712/47500]	Loss: 0.6479	LR: 0.020000
Training Epoch: 28 [19968/47500]	Loss: 0.5210	LR: 0.020000
Training Epoch: 28 [20224/47500]	Loss: 0.6181	LR: 0.020000
Training Epoch: 28 [20480/47500]	Loss: 0.5158	LR: 0.020000
Training Epoch: 28 [20736/47500]	Loss: 0.5491	LR: 0.020000
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Training Epoch: 28 [21504/47500]	Loss: 0.4576	LR: 0.020000
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Training Epoch: 28 [22016/47500]	Loss: 0.5653	LR: 0.020000
Training Epoch: 28 [22272/47500]	Loss: 0.4321	LR: 0.020000
Training Epoch: 28 [22528/47500]	Loss: 0.5919	LR: 0.020000
Training Epoch: 28 [22784/47500]	Loss: 0.5088	LR: 0.020000
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Training Epoch: 28 [23296/47500]	Loss: 0.5442	LR: 0.020000
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Training Epoch: 28 [23808/47500]	Loss: 0.5687	LR: 0.020000
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Training Epoch: 28 [24320/47500]	Loss: 0.4466	LR: 0.020000
Training Epoch: 28 [24576/47500]	Loss: 0.5151	LR: 0.020000
Training Epoch: 28 [24832/47500]	Loss: 0.5148	LR: 0.020000
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Training Epoch: 28 [25600/47500]	Loss: 0.4583	LR: 0.020000
Training Epoch: 28 [25856/47500]	Loss: 0.5822	LR: 0.020000
Training Epoch: 28 [26112/47500]	Loss: 0.4878	LR: 0.020000
Training Epoch: 28 [26368/47500]	Loss: 0.5146	LR: 0.020000
Training Epoch: 28 [26624/47500]	Loss: 0.4462	LR: 0.020000
Training Epoch: 28 [26880/47500]	Loss: 0.4747	LR: 0.020000
Training Epoch: 28 [27136/47500]	Loss: 0.5991	LR: 0.020000
Training Epoch: 28 [27392/47500]	Loss: 0.5418	LR: 0.020000
Training Epoch: 28 [27648/47500]	Loss: 0.4518	LR: 0.020000
Training Epoch: 28 [27904/47500]	Loss: 0.4500	LR: 0.020000
Training Epoch: 28 [28160/47500]	Loss: 0.5658	LR: 0.020000
Training Epoch: 28 [28416/47500]	Loss: 0.4792	LR: 0.020000
Training Epoch: 28 [28672/47500]	Loss: 0.5215	LR: 0.020000
Training Epoch: 28 [28928/47500]	Loss: 0.5597	LR: 0.020000
Training Epoch: 28 [29184/47500]	Loss: 0.4987	LR: 0.020000
Training Epoch: 28 [29440/47500]	Loss: 0.5054	LR: 0.020000
Training Epoch: 28 [29696/47500]	Loss: 0.5267	LR: 0.020000
Training Epoch: 28 [29952/47500]	Loss: 0.5058	LR: 0.020000
Training Epoch: 28 [30208/47500]	Loss: 0.5584	LR: 0.020000
Training Epoch: 28 [30464/47500]	Loss: 0.6215	LR: 0.020000
Training Epoch: 28 [30720/47500]	Loss: 0.5275	LR: 0.020000
Training Epoch: 28 [30976/47500]	Loss: 0.5410	LR: 0.020000
Training Epoch: 28 [31232/47500]	Loss: 0.5108	LR: 0.020000
Training Epoch: 28 [31488/47500]	Loss: 0.6034	LR: 0.020000
Training Epoch: 28 [31744/47500]	Loss: 0.4133	LR: 0.020000
Training Epoch: 28 [32000/47500]	Loss: 0.5684	LR: 0.020000
Training Epoch: 28 [32256/47500]	Loss: 0.5100	LR: 0.020000
Training Epoch: 28 [32512/47500]	Loss: 0.4478	LR: 0.020000
Training Epoch: 28 [32768/47500]	Loss: 0.4737	LR: 0.020000
Training Epoch: 28 [33024/47500]	Loss: 0.6203	LR: 0.020000
Training Epoch: 28 [33280/47500]	Loss: 0.5386	LR: 0.020000
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Training Epoch: 28 [34816/47500]	Loss: 0.4442	LR: 0.020000
Training Epoch: 28 [35072/47500]	Loss: 0.5301	LR: 0.020000
Training Epoch: 28 [35328/47500]	Loss: 0.6048	LR: 0.020000
Training Epoch: 28 [35584/47500]	Loss: 0.6515	LR: 0.020000
Training Epoch: 28 [35840/47500]	Loss: 0.4927	LR: 0.020000
Training Epoch: 28 [36096/47500]	Loss: 0.5855	LR: 0.020000
Training Epoch: 28 [36352/47500]	Loss: 0.4581	LR: 0.020000
Training Epoch: 28 [36608/47500]	Loss: 0.5172	LR: 0.020000
Training Epoch: 28 [36864/47500]	Loss: 0.6320	LR: 0.020000
Training Epoch: 28 [37120/47500]	Loss: 0.5761	LR: 0.020000
Training Epoch: 28 [37376/47500]	Loss: 0.5178	LR: 0.020000
Training Epoch: 28 [37632/47500]	Loss: 0.6082	LR: 0.020000
Training Epoch: 28 [37888/47500]	Loss: 0.6280	LR: 0.020000
Training Epoch: 28 [38144/47500]	Loss: 0.4511	LR: 0.020000
Training Epoch: 28 [38400/47500]	Loss: 0.5249	LR: 0.020000
Training Epoch: 28 [38656/47500]	Loss: 0.4650	LR: 0.020000
Training Epoch: 28 [38912/47500]	Loss: 0.5399	LR: 0.020000
Training Epoch: 28 [39168/47500]	Loss: 0.4850	LR: 0.020000
Training Epoch: 28 [39424/47500]	Loss: 0.5136	LR: 0.020000
Training Epoch: 28 [39680/47500]	Loss: 0.4870	LR: 0.020000
Training Epoch: 28 [39936/47500]	Loss: 0.6332	LR: 0.020000
Training Epoch: 28 [40192/47500]	Loss: 0.5814	LR: 0.020000
Training Epoch: 28 [40448/47500]	Loss: 0.7213	LR: 0.020000
Training Epoch: 28 [40704/47500]	Loss: 0.6112	LR: 0.020000
Training Epoch: 28 [40960/47500]	Loss: 0.5461	LR: 0.020000
Training Epoch: 28 [41216/47500]	Loss: 0.5698	LR: 0.020000
Training Epoch: 28 [41472/47500]	Loss: 0.5360	LR: 0.020000
Training Epoch: 28 [41728/47500]	Loss: 0.6468	LR: 0.020000
Training Epoch: 28 [41984/47500]	Loss: 0.5652	LR: 0.020000
Training Epoch: 28 [42240/47500]	Loss: 0.5594	LR: 0.020000
Training Epoch: 28 [42496/47500]	Loss: 0.6244	LR: 0.020000
Training Epoch: 28 [42752/47500]	Loss: 0.5303	LR: 0.020000
Training Epoch: 28 [43008/47500]	Loss: 0.5917	LR: 0.020000
Training Epoch: 28 [43264/47500]	Loss: 0.5698	LR: 0.020000
Training Epoch: 28 [43520/47500]	Loss: 0.6035	LR: 0.020000
Training Epoch: 28 [43776/47500]	Loss: 0.5784	LR: 0.020000
Training Epoch: 28 [44032/47500]	Loss: 0.5146	LR: 0.020000
Training Epoch: 28 [44288/47500]	Loss: 0.5395	LR: 0.020000
Training Epoch: 28 [44544/47500]	Loss: 0.5598	LR: 0.020000
Training Epoch: 28 [44800/47500]	Loss: 0.4873	LR: 0.020000
Training Epoch: 28 [45056/47500]	Loss: 0.4741	LR: 0.020000
Training Epoch: 28 [45312/47500]	Loss: 0.5666	LR: 0.020000
Training Epoch: 28 [45568/47500]	Loss: 0.4602	LR: 0.020000
Training Epoch: 28 [45824/47500]	Loss: 0.5387	LR: 0.020000
Training Epoch: 28 [46080/47500]	Loss: 0.5244	LR: 0.020000
Training Epoch: 28 [46336/47500]	Loss: 0.6231	LR: 0.020000
Training Epoch: 28 [46592/47500]	Loss: 0.6066	LR: 0.020000
Training Epoch: 28 [46848/47500]	Loss: 0.5775	LR: 0.020000
Training Epoch: 28 [47104/47500]	Loss: 0.4874	LR: 0.020000
Training Epoch: 28 [47360/47500]	Loss: 0.5227	LR: 0.020000
Training Epoch: 28 [47500/47500]	Loss: 0.6088	LR: 0.020000
Epoch 28 - Average Train Loss: 0.5235, Train Accuracy: 0.8311
Epoch 28 training time consumed: 25.92s
Evaluating Network.....
Test set: Epoch: 28, Average loss: 0.0038, Accuracy: 0.7297, Time consumed:0.89s
Training Epoch: 29 [256/47500]	Loss: 0.3809	LR: 0.020000
Training Epoch: 29 [512/47500]	Loss: 0.4849	LR: 0.020000
Training Epoch: 29 [768/47500]	Loss: 0.5181	LR: 0.020000
Training Epoch: 29 [1024/47500]	Loss: 0.5791	LR: 0.020000
Training Epoch: 29 [1280/47500]	Loss: 0.5552	LR: 0.020000
Training Epoch: 29 [1536/47500]	Loss: 0.4009	LR: 0.020000
Training Epoch: 29 [1792/47500]	Loss: 0.5215	LR: 0.020000
Training Epoch: 29 [2048/47500]	Loss: 0.6349	LR: 0.020000
Training Epoch: 29 [2304/47500]	Loss: 0.4507	LR: 0.020000
Training Epoch: 29 [2560/47500]	Loss: 0.4347	LR: 0.020000
Training Epoch: 29 [2816/47500]	Loss: 0.6211	LR: 0.020000
Training Epoch: 29 [3072/47500]	Loss: 0.5984	LR: 0.020000
Training Epoch: 29 [3328/47500]	Loss: 0.5470	LR: 0.020000
Training Epoch: 29 [3584/47500]	Loss: 0.4781	LR: 0.020000
Training Epoch: 29 [3840/47500]	Loss: 0.4287	LR: 0.020000
Training Epoch: 29 [4096/47500]	Loss: 0.4589	LR: 0.020000
Training Epoch: 29 [4352/47500]	Loss: 0.4996	LR: 0.020000
Training Epoch: 29 [4608/47500]	Loss: 0.4884	LR: 0.020000
Training Epoch: 29 [4864/47500]	Loss: 0.5356	LR: 0.020000
Training Epoch: 29 [5120/47500]	Loss: 0.5472	LR: 0.020000
Training Epoch: 29 [5376/47500]	Loss: 0.4431	LR: 0.020000
Training Epoch: 29 [5632/47500]	Loss: 0.4329	LR: 0.020000
Training Epoch: 29 [5888/47500]	Loss: 0.4675	LR: 0.020000
Training Epoch: 29 [6144/47500]	Loss: 0.4653	LR: 0.020000
Training Epoch: 29 [6400/47500]	Loss: 0.5378	LR: 0.020000
Training Epoch: 29 [6656/47500]	Loss: 0.3815	LR: 0.020000
Training Epoch: 29 [6912/47500]	Loss: 0.5659	LR: 0.020000
Training Epoch: 29 [7168/47500]	Loss: 0.4290	LR: 0.020000
Training Epoch: 29 [7424/47500]	Loss: 0.4979	LR: 0.020000
Training Epoch: 29 [7680/47500]	Loss: 0.3779	LR: 0.020000
Training Epoch: 29 [7936/47500]	Loss: 0.4985	LR: 0.020000
Training Epoch: 29 [8192/47500]	Loss: 0.3506	LR: 0.020000
Training Epoch: 29 [8448/47500]	Loss: 0.4557	LR: 0.020000
Training Epoch: 29 [8704/47500]	Loss: 0.5224	LR: 0.020000
Training Epoch: 29 [8960/47500]	Loss: 0.4724	LR: 0.020000
Training Epoch: 29 [9216/47500]	Loss: 0.4232	LR: 0.020000
Training Epoch: 29 [9472/47500]	Loss: 0.5596	LR: 0.020000
Training Epoch: 29 [9728/47500]	Loss: 0.5403	LR: 0.020000
Training Epoch: 29 [9984/47500]	Loss: 0.5124	LR: 0.020000
Training Epoch: 29 [10240/47500]	Loss: 0.5136	LR: 0.020000
Training Epoch: 29 [10496/47500]	Loss: 0.4479	LR: 0.020000
Training Epoch: 29 [10752/47500]	Loss: 0.4979	LR: 0.020000
Training Epoch: 29 [11008/47500]	Loss: 0.5336	LR: 0.020000
Training Epoch: 29 [11264/47500]	Loss: 0.4957	LR: 0.020000
Training Epoch: 29 [11520/47500]	Loss: 0.4675	LR: 0.020000
Training Epoch: 29 [11776/47500]	Loss: 0.5090	LR: 0.020000
Training Epoch: 29 [12032/47500]	Loss: 0.4263	LR: 0.020000
Training Epoch: 29 [12288/47500]	Loss: 0.4812	LR: 0.020000
Training Epoch: 29 [12544/47500]	Loss: 0.5139	LR: 0.020000
Training Epoch: 29 [12800/47500]	Loss: 0.4979	LR: 0.020000
Training Epoch: 29 [13056/47500]	Loss: 0.6225	LR: 0.020000
Training Epoch: 29 [13312/47500]	Loss: 0.6676	LR: 0.020000
Training Epoch: 29 [13568/47500]	Loss: 0.4833	LR: 0.020000
Training Epoch: 29 [13824/47500]	Loss: 0.4456	LR: 0.020000
Training Epoch: 29 [14080/47500]	Loss: 0.5448	LR: 0.020000
Training Epoch: 29 [14336/47500]	Loss: 0.5024	LR: 0.020000
Training Epoch: 29 [14592/47500]	Loss: 0.4367	LR: 0.020000
Training Epoch: 29 [14848/47500]	Loss: 0.5663	LR: 0.020000
Training Epoch: 29 [15104/47500]	Loss: 0.5171	LR: 0.020000
Training Epoch: 29 [15360/47500]	Loss: 0.4850	LR: 0.020000
Training Epoch: 29 [15616/47500]	Loss: 0.5047	LR: 0.020000
Training Epoch: 29 [15872/47500]	Loss: 0.5083	LR: 0.020000
Training Epoch: 29 [16128/47500]	Loss: 0.5270	LR: 0.020000
Training Epoch: 29 [16384/47500]	Loss: 0.4899	LR: 0.020000
Training Epoch: 29 [16640/47500]	Loss: 0.4027	LR: 0.020000
Training Epoch: 29 [16896/47500]	Loss: 0.4746	LR: 0.020000
Training Epoch: 29 [17152/47500]	Loss: 0.4688	LR: 0.020000
Training Epoch: 29 [17408/47500]	Loss: 0.5255	LR: 0.020000
Training Epoch: 29 [17664/47500]	Loss: 0.4288	LR: 0.020000
Training Epoch: 29 [17920/47500]	Loss: 0.5377	LR: 0.020000
Training Epoch: 29 [18176/47500]	Loss: 0.4917	LR: 0.020000
Training Epoch: 29 [18432/47500]	Loss: 0.4173	LR: 0.020000
Training Epoch: 29 [18688/47500]	Loss: 0.4157	LR: 0.020000
Training Epoch: 29 [18944/47500]	Loss: 0.5110	LR: 0.020000
Training Epoch: 29 [19200/47500]	Loss: 0.5972	LR: 0.020000
Training Epoch: 29 [19456/47500]	Loss: 0.5323	LR: 0.020000
Training Epoch: 29 [19712/47500]	Loss: 0.4762	LR: 0.020000
Training Epoch: 29 [19968/47500]	Loss: 0.5075	LR: 0.020000
Training Epoch: 29 [20224/47500]	Loss: 0.5141	LR: 0.020000
Training Epoch: 29 [20480/47500]	Loss: 0.4686	LR: 0.020000
Training Epoch: 29 [20736/47500]	Loss: 0.5659	LR: 0.020000
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Training Epoch: 29 [21248/47500]	Loss: 0.4753	LR: 0.020000
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Training Epoch: 29 [21760/47500]	Loss: 0.4886	LR: 0.020000
Training Epoch: 29 [22016/47500]	Loss: 0.5153	LR: 0.020000
Training Epoch: 29 [22272/47500]	Loss: 0.4808	LR: 0.020000
Training Epoch: 29 [22528/47500]	Loss: 0.5379	LR: 0.020000
Training Epoch: 29 [22784/47500]	Loss: 0.4691	LR: 0.020000
Training Epoch: 29 [23040/47500]	Loss: 0.4462	LR: 0.020000
Training Epoch: 29 [23296/47500]	Loss: 0.5426	LR: 0.020000
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Training Epoch: 29 [24832/47500]	Loss: 0.5641	LR: 0.020000
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Training Epoch: 29 [25344/47500]	Loss: 0.5124	LR: 0.020000
Training Epoch: 29 [25600/47500]	Loss: 0.5529	LR: 0.020000
Training Epoch: 29 [25856/47500]	Loss: 0.5841	LR: 0.020000
Training Epoch: 29 [26112/47500]	Loss: 0.5304	LR: 0.020000
Training Epoch: 29 [26368/47500]	Loss: 0.5259	LR: 0.020000
Training Epoch: 29 [26624/47500]	Loss: 0.5169	LR: 0.020000
Training Epoch: 29 [26880/47500]	Loss: 0.4996	LR: 0.020000
Training Epoch: 29 [27136/47500]	Loss: 0.5308	LR: 0.020000
Training Epoch: 29 [27392/47500]	Loss: 0.4284	LR: 0.020000
Training Epoch: 29 [27648/47500]	Loss: 0.5980	LR: 0.020000
Training Epoch: 29 [27904/47500]	Loss: 0.4976	LR: 0.020000
Training Epoch: 29 [28160/47500]	Loss: 0.5608	LR: 0.020000
Training Epoch: 29 [28416/47500]	Loss: 0.5359	LR: 0.020000
Training Epoch: 29 [28672/47500]	Loss: 0.5114	LR: 0.020000
Training Epoch: 29 [28928/47500]	Loss: 0.5123	LR: 0.020000
Training Epoch: 29 [29184/47500]	Loss: 0.5466	LR: 0.020000
Training Epoch: 29 [29440/47500]	Loss: 0.6274	LR: 0.020000
Training Epoch: 29 [29696/47500]	Loss: 0.5539	LR: 0.020000
Training Epoch: 29 [29952/47500]	Loss: 0.6308	LR: 0.020000
Training Epoch: 29 [30208/47500]	Loss: 0.5352	LR: 0.020000
Training Epoch: 29 [30464/47500]	Loss: 0.5106	LR: 0.020000
Training Epoch: 29 [30720/47500]	Loss: 0.4521	LR: 0.020000
Training Epoch: 29 [30976/47500]	Loss: 0.5043	LR: 0.020000
Training Epoch: 29 [31232/47500]	Loss: 0.5594	LR: 0.020000
Training Epoch: 29 [31488/47500]	Loss: 0.4735	LR: 0.020000
Training Epoch: 29 [31744/47500]	Loss: 0.6273	LR: 0.020000
Training Epoch: 29 [32000/47500]	Loss: 0.4581	LR: 0.020000
Training Epoch: 29 [32256/47500]	Loss: 0.5947	LR: 0.020000
Training Epoch: 29 [32512/47500]	Loss: 0.5942	LR: 0.020000
Training Epoch: 29 [32768/47500]	Loss: 0.5898	LR: 0.020000
Training Epoch: 29 [33024/47500]	Loss: 0.5519	LR: 0.020000
Training Epoch: 29 [33280/47500]	Loss: 0.4671	LR: 0.020000
Training Epoch: 29 [33536/47500]	Loss: 0.6684	LR: 0.020000
Training Epoch: 29 [33792/47500]	Loss: 0.6268	LR: 0.020000
Training Epoch: 29 [34048/47500]	Loss: 0.4732	LR: 0.020000
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Training Epoch: 29 [34816/47500]	Loss: 0.5273	LR: 0.020000
Training Epoch: 29 [35072/47500]	Loss: 0.5256	LR: 0.020000
Training Epoch: 29 [35328/47500]	Loss: 0.4603	LR: 0.020000
Training Epoch: 29 [35584/47500]	Loss: 0.5085	LR: 0.020000
Training Epoch: 29 [35840/47500]	Loss: 0.5075	LR: 0.020000
Training Epoch: 29 [36096/47500]	Loss: 0.5154	LR: 0.020000
Training Epoch: 29 [36352/47500]	Loss: 0.6340	LR: 0.020000
Training Epoch: 29 [36608/47500]	Loss: 0.5290	LR: 0.020000
Training Epoch: 29 [36864/47500]	Loss: 0.5173	LR: 0.020000
Training Epoch: 29 [37120/47500]	Loss: 0.6990	LR: 0.020000
Training Epoch: 29 [37376/47500]	Loss: 0.5083	LR: 0.020000
Training Epoch: 29 [37632/47500]	Loss: 0.6505	LR: 0.020000
Training Epoch: 29 [37888/47500]	Loss: 0.5273	LR: 0.020000
Training Epoch: 29 [38144/47500]	Loss: 0.5412	LR: 0.020000
Training Epoch: 29 [38400/47500]	Loss: 0.6138	LR: 0.020000
Training Epoch: 29 [38656/47500]	Loss: 0.5496	LR: 0.020000
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Training Epoch: 29 [39168/47500]	Loss: 0.5321	LR: 0.020000
Training Epoch: 29 [39424/47500]	Loss: 0.5162	LR: 0.020000
Training Epoch: 29 [39680/47500]	Loss: 0.4819	LR: 0.020000
Training Epoch: 29 [39936/47500]	Loss: 0.4771	LR: 0.020000
Training Epoch: 29 [40192/47500]	Loss: 0.5255	LR: 0.020000
Training Epoch: 29 [40448/47500]	Loss: 0.5433	LR: 0.020000
Training Epoch: 29 [40704/47500]	Loss: 0.5762	LR: 0.020000
Training Epoch: 29 [40960/47500]	Loss: 0.5055	LR: 0.020000
Training Epoch: 29 [41216/47500]	Loss: 0.6073	LR: 0.020000
Training Epoch: 29 [41472/47500]	Loss: 0.6204	LR: 0.020000
Training Epoch: 29 [41728/47500]	Loss: 0.5560	LR: 0.020000
Training Epoch: 29 [41984/47500]	Loss: 0.6005	LR: 0.020000
Training Epoch: 29 [42240/47500]	Loss: 0.5363	LR: 0.020000
Training Epoch: 29 [42496/47500]	Loss: 0.4897	LR: 0.020000
Training Epoch: 29 [42752/47500]	Loss: 0.5912	LR: 0.020000
Training Epoch: 29 [43008/47500]	Loss: 0.4637	LR: 0.020000
Training Epoch: 29 [43264/47500]	Loss: 0.5121	LR: 0.020000
Training Epoch: 29 [43520/47500]	Loss: 0.5959	LR: 0.020000
Training Epoch: 29 [43776/47500]	Loss: 0.6766	LR: 0.020000
Training Epoch: 29 [44032/47500]	Loss: 0.6065	LR: 0.020000
Training Epoch: 29 [44288/47500]	Loss: 0.5506	LR: 0.020000
Training Epoch: 29 [44544/47500]	Loss: 0.5492	LR: 0.020000
Training Epoch: 29 [44800/47500]	Loss: 0.4602	LR: 0.020000
Training Epoch: 29 [45056/47500]	Loss: 0.5141	LR: 0.020000
Training Epoch: 29 [45312/47500]	Loss: 0.5785	LR: 0.020000
Training Epoch: 29 [45568/47500]	Loss: 0.5419	LR: 0.020000
Training Epoch: 29 [45824/47500]	Loss: 0.5153	LR: 0.020000
Training Epoch: 29 [46080/47500]	Loss: 0.5703	LR: 0.020000
Training Epoch: 29 [46336/47500]	Loss: 0.4228	LR: 0.020000
Training Epoch: 29 [46592/47500]	Loss: 0.6193	LR: 0.020000
Training Epoch: 29 [46848/47500]	Loss: 0.6001	LR: 0.020000
Training Epoch: 29 [47104/47500]	Loss: 0.5699	LR: 0.020000
Training Epoch: 29 [47360/47500]	Loss: 0.5423	LR: 0.020000
Training Epoch: 29 [47500/47500]	Loss: 0.5437	LR: 0.020000
Epoch 29 - Average Train Loss: 0.5192, Train Accuracy: 0.8303
Epoch 29 training time consumed: 25.96s
Evaluating Network.....
Test set: Epoch: 29, Average loss: 0.0039, Accuracy: 0.7229, Time consumed:0.94s
Training Epoch: 30 [256/47500]	Loss: 0.4315	LR: 0.004000
Training Epoch: 30 [512/47500]	Loss: 0.4935	LR: 0.004000
Training Epoch: 30 [768/47500]	Loss: 0.5333	LR: 0.004000
Training Epoch: 30 [1024/47500]	Loss: 0.4090	LR: 0.004000
Training Epoch: 30 [1280/47500]	Loss: 0.5172	LR: 0.004000
Training Epoch: 30 [1536/47500]	Loss: 0.4306	LR: 0.004000
Training Epoch: 30 [1792/47500]	Loss: 0.4848	LR: 0.004000
Training Epoch: 30 [2048/47500]	Loss: 0.4309	LR: 0.004000
Training Epoch: 30 [2304/47500]	Loss: 0.4229	LR: 0.004000
Training Epoch: 30 [2560/47500]	Loss: 0.4228	LR: 0.004000
Training Epoch: 30 [2816/47500]	Loss: 0.4254	LR: 0.004000
Training Epoch: 30 [3072/47500]	Loss: 0.4266	LR: 0.004000
Training Epoch: 30 [3328/47500]	Loss: 0.4322	LR: 0.004000
Training Epoch: 30 [3584/47500]	Loss: 0.4244	LR: 0.004000
Training Epoch: 30 [3840/47500]	Loss: 0.4119	LR: 0.004000
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Training Epoch: 30 [47500/47500]	Loss: 0.4833	LR: 0.004000
Epoch 30 - Average Train Loss: 0.4047, Train Accuracy: 0.8732
Epoch 30 training time consumed: 25.96s
Evaluating Network.....
Test set: Epoch: 30, Average loss: 0.0030, Accuracy: 0.7739, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_00h_02m_29s/AllCNN-Cifar20-seed10-ret50-30-best.pth
Training Epoch: 31 [256/47500]	Loss: 0.3735	LR: 0.004000
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Training Epoch: 31 [47500/47500]	Loss: 0.3891	LR: 0.004000
Epoch 31 - Average Train Loss: 0.3646, Train Accuracy: 0.8872
Epoch 31 training time consumed: 25.95s
Evaluating Network.....
Test set: Epoch: 31, Average loss: 0.0030, Accuracy: 0.7760, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_00h_02m_29s/AllCNN-Cifar20-seed10-ret50-31-best.pth
Training Epoch: 32 [256/47500]	Loss: 0.3386	LR: 0.004000
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Training Epoch: 32 [47360/47500]	Loss: 0.3228	LR: 0.004000
Training Epoch: 32 [47500/47500]	Loss: 0.4967	LR: 0.004000
Epoch 32 - Average Train Loss: 0.3519, Train Accuracy: 0.8922
Epoch 32 training time consumed: 25.97s
Evaluating Network.....
Test set: Epoch: 32, Average loss: 0.0030, Accuracy: 0.7803, Time consumed:0.87s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_00h_02m_29s/AllCNN-Cifar20-seed10-ret50-32-best.pth
Training Epoch: 33 [256/47500]	Loss: 0.3503	LR: 0.004000
Training Epoch: 33 [512/47500]	Loss: 0.2681	LR: 0.004000
Training Epoch: 33 [768/47500]	Loss: 0.3593	LR: 0.004000
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Training Epoch: 33 [5888/47500]	Loss: 0.2967	LR: 0.004000
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Training Epoch: 33 [7168/47500]	Loss: 0.3583	LR: 0.004000
Training Epoch: 33 [7424/47500]	Loss: 0.3489	LR: 0.004000
Training Epoch: 33 [7680/47500]	Loss: 0.3766	LR: 0.004000
Training Epoch: 33 [7936/47500]	Loss: 0.3412	LR: 0.004000
Training Epoch: 33 [8192/47500]	Loss: 0.3269	LR: 0.004000
Training Epoch: 33 [8448/47500]	Loss: 0.3077	LR: 0.004000
Training Epoch: 33 [8704/47500]	Loss: 0.4288	LR: 0.004000
Training Epoch: 33 [8960/47500]	Loss: 0.2905	LR: 0.004000
Training Epoch: 33 [9216/47500]	Loss: 0.3482	LR: 0.004000
Training Epoch: 33 [9472/47500]	Loss: 0.3265	LR: 0.004000
Training Epoch: 33 [9728/47500]	Loss: 0.3108	LR: 0.004000
Training Epoch: 33 [9984/47500]	Loss: 0.3301	LR: 0.004000
Training Epoch: 33 [10240/47500]	Loss: 0.3211	LR: 0.004000
Training Epoch: 33 [10496/47500]	Loss: 0.2643	LR: 0.004000
Training Epoch: 33 [10752/47500]	Loss: 0.3180	LR: 0.004000
Training Epoch: 33 [11008/47500]	Loss: 0.3935	LR: 0.004000
Training Epoch: 33 [11264/47500]	Loss: 0.2913	LR: 0.004000
Training Epoch: 33 [11520/47500]	Loss: 0.3449	LR: 0.004000
Training Epoch: 33 [11776/47500]	Loss: 0.3392	LR: 0.004000
Training Epoch: 33 [12032/47500]	Loss: 0.3752	LR: 0.004000
Training Epoch: 33 [12288/47500]	Loss: 0.3519	LR: 0.004000
Training Epoch: 33 [12544/47500]	Loss: 0.3395	LR: 0.004000
Training Epoch: 33 [12800/47500]	Loss: 0.3617	LR: 0.004000
Training Epoch: 33 [13056/47500]	Loss: 0.3340	LR: 0.004000
Training Epoch: 33 [13312/47500]	Loss: 0.4191	LR: 0.004000
Training Epoch: 33 [13568/47500]	Loss: 0.2287	LR: 0.004000
Training Epoch: 33 [13824/47500]	Loss: 0.3284	LR: 0.004000
Training Epoch: 33 [14080/47500]	Loss: 0.3735	LR: 0.004000
Training Epoch: 33 [14336/47500]	Loss: 0.3245	LR: 0.004000
Training Epoch: 33 [14592/47500]	Loss: 0.3315	LR: 0.004000
Training Epoch: 33 [14848/47500]	Loss: 0.2882	LR: 0.004000
Training Epoch: 33 [15104/47500]	Loss: 0.3501	LR: 0.004000
Training Epoch: 33 [15360/47500]	Loss: 0.3470	LR: 0.004000
Training Epoch: 33 [15616/47500]	Loss: 0.3792	LR: 0.004000
Training Epoch: 33 [15872/47500]	Loss: 0.4163	LR: 0.004000
Training Epoch: 33 [16128/47500]	Loss: 0.3175	LR: 0.004000
Training Epoch: 33 [16384/47500]	Loss: 0.3144	LR: 0.004000
Training Epoch: 33 [16640/47500]	Loss: 0.3098	LR: 0.004000
Training Epoch: 33 [16896/47500]	Loss: 0.3758	LR: 0.004000
Training Epoch: 33 [17152/47500]	Loss: 0.3663	LR: 0.004000
Training Epoch: 33 [17408/47500]	Loss: 0.3448	LR: 0.004000
Training Epoch: 33 [17664/47500]	Loss: 0.3465	LR: 0.004000
Training Epoch: 33 [17920/47500]	Loss: 0.3117	LR: 0.004000
Training Epoch: 33 [18176/47500]	Loss: 0.3041	LR: 0.004000
Training Epoch: 33 [18432/47500]	Loss: 0.2787	LR: 0.004000
Training Epoch: 33 [18688/47500]	Loss: 0.4167	LR: 0.004000
Training Epoch: 33 [18944/47500]	Loss: 0.4202	LR: 0.004000
Training Epoch: 33 [19200/47500]	Loss: 0.3569	LR: 0.004000
Training Epoch: 33 [19456/47500]	Loss: 0.3182	LR: 0.004000
Training Epoch: 33 [19712/47500]	Loss: 0.3659	LR: 0.004000
Training Epoch: 33 [19968/47500]	Loss: 0.3059	LR: 0.004000
Training Epoch: 33 [20224/47500]	Loss: 0.3075	LR: 0.004000
Training Epoch: 33 [20480/47500]	Loss: 0.3956	LR: 0.004000
Training Epoch: 33 [20736/47500]	Loss: 0.3439	LR: 0.004000
Training Epoch: 33 [20992/47500]	Loss: 0.3074	LR: 0.004000
Training Epoch: 33 [21248/47500]	Loss: 0.2588	LR: 0.004000
Training Epoch: 33 [21504/47500]	Loss: 0.4449	LR: 0.004000
Training Epoch: 33 [21760/47500]	Loss: 0.3142	LR: 0.004000
Training Epoch: 33 [22016/47500]	Loss: 0.3045	LR: 0.004000
Training Epoch: 33 [22272/47500]	Loss: 0.3387	LR: 0.004000
Training Epoch: 33 [22528/47500]	Loss: 0.3226	LR: 0.004000
Training Epoch: 33 [22784/47500]	Loss: 0.3590	LR: 0.004000
Training Epoch: 33 [23040/47500]	Loss: 0.3221	LR: 0.004000
Training Epoch: 33 [23296/47500]	Loss: 0.3690	LR: 0.004000
Training Epoch: 33 [23552/47500]	Loss: 0.3110	LR: 0.004000
Training Epoch: 33 [23808/47500]	Loss: 0.3575	LR: 0.004000
Training Epoch: 33 [24064/47500]	Loss: 0.3944	LR: 0.004000
Training Epoch: 33 [24320/47500]	Loss: 0.2946	LR: 0.004000
Training Epoch: 33 [24576/47500]	Loss: 0.4211	LR: 0.004000
Training Epoch: 33 [24832/47500]	Loss: 0.3375	LR: 0.004000
Training Epoch: 33 [25088/47500]	Loss: 0.2935	LR: 0.004000
Training Epoch: 33 [25344/47500]	Loss: 0.2847	LR: 0.004000
Training Epoch: 33 [25600/47500]	Loss: 0.3885	LR: 0.004000
Training Epoch: 33 [25856/47500]	Loss: 0.3302	LR: 0.004000
Training Epoch: 33 [26112/47500]	Loss: 0.3083	LR: 0.004000
Training Epoch: 33 [26368/47500]	Loss: 0.3520	LR: 0.004000
Training Epoch: 33 [26624/47500]	Loss: 0.3124	LR: 0.004000
Training Epoch: 33 [26880/47500]	Loss: 0.3278	LR: 0.004000
Training Epoch: 33 [27136/47500]	Loss: 0.2889	LR: 0.004000
Training Epoch: 33 [27392/47500]	Loss: 0.2827	LR: 0.004000
Training Epoch: 33 [27648/47500]	Loss: 0.3816	LR: 0.004000
Training Epoch: 33 [27904/47500]	Loss: 0.2997	LR: 0.004000
Training Epoch: 33 [28160/47500]	Loss: 0.4150	LR: 0.004000
Training Epoch: 33 [28416/47500]	Loss: 0.2970	LR: 0.004000
Training Epoch: 33 [28672/47500]	Loss: 0.3165	LR: 0.004000
Training Epoch: 33 [28928/47500]	Loss: 0.3601	LR: 0.004000
Training Epoch: 33 [29184/47500]	Loss: 0.3237	LR: 0.004000
Training Epoch: 33 [29440/47500]	Loss: 0.3529	LR: 0.004000
Training Epoch: 33 [29696/47500]	Loss: 0.3558	LR: 0.004000
Training Epoch: 33 [29952/47500]	Loss: 0.3617	LR: 0.004000
Training Epoch: 33 [30208/47500]	Loss: 0.3521	LR: 0.004000
Training Epoch: 33 [30464/47500]	Loss: 0.3562	LR: 0.004000
Training Epoch: 33 [30720/47500]	Loss: 0.3345	LR: 0.004000
Training Epoch: 33 [30976/47500]	Loss: 0.3152	LR: 0.004000
Training Epoch: 33 [31232/47500]	Loss: 0.3069	LR: 0.004000
Training Epoch: 33 [31488/47500]	Loss: 0.3741	LR: 0.004000
Training Epoch: 33 [31744/47500]	Loss: 0.3110	LR: 0.004000
Training Epoch: 33 [32000/47500]	Loss: 0.3164	LR: 0.004000
Training Epoch: 33 [32256/47500]	Loss: 0.3464	LR: 0.004000
Training Epoch: 33 [32512/47500]	Loss: 0.3278	LR: 0.004000
Training Epoch: 33 [32768/47500]	Loss: 0.3154	LR: 0.004000
Training Epoch: 33 [33024/47500]	Loss: 0.2755	LR: 0.004000
Training Epoch: 33 [33280/47500]	Loss: 0.3169	LR: 0.004000
Training Epoch: 33 [33536/47500]	Loss: 0.3414	LR: 0.004000
Training Epoch: 33 [33792/47500]	Loss: 0.3652	LR: 0.004000
Training Epoch: 33 [34048/47500]	Loss: 0.3899	LR: 0.004000
Training Epoch: 33 [34304/47500]	Loss: 0.3286	LR: 0.004000
Training Epoch: 33 [34560/47500]	Loss: 0.4231	LR: 0.004000
Training Epoch: 33 [34816/47500]	Loss: 0.3596	LR: 0.004000
Training Epoch: 33 [35072/47500]	Loss: 0.2867	LR: 0.004000
Training Epoch: 33 [35328/47500]	Loss: 0.2947	LR: 0.004000
Training Epoch: 33 [35584/47500]	Loss: 0.4328	LR: 0.004000
Training Epoch: 33 [35840/47500]	Loss: 0.2679	LR: 0.004000
Training Epoch: 33 [36096/47500]	Loss: 0.3946	LR: 0.004000
Training Epoch: 33 [36352/47500]	Loss: 0.3831	LR: 0.004000
Training Epoch: 33 [36608/47500]	Loss: 0.3470	LR: 0.004000
Training Epoch: 33 [36864/47500]	Loss: 0.4120	LR: 0.004000
Training Epoch: 33 [37120/47500]	Loss: 0.3318	LR: 0.004000
Training Epoch: 33 [37376/47500]	Loss: 0.3490	LR: 0.004000
Training Epoch: 33 [37632/47500]	Loss: 0.3300	LR: 0.004000
Training Epoch: 33 [37888/47500]	Loss: 0.2252	LR: 0.004000
Training Epoch: 33 [38144/47500]	Loss: 0.3423	LR: 0.004000
Training Epoch: 33 [38400/47500]	Loss: 0.3638	LR: 0.004000
Training Epoch: 33 [38656/47500]	Loss: 0.3706	LR: 0.004000
Training Epoch: 33 [38912/47500]	Loss: 0.3072	LR: 0.004000
Training Epoch: 33 [39168/47500]	Loss: 0.3614	LR: 0.004000
Training Epoch: 33 [39424/47500]	Loss: 0.2902	LR: 0.004000
Training Epoch: 33 [39680/47500]	Loss: 0.3285	LR: 0.004000
Training Epoch: 33 [39936/47500]	Loss: 0.3843	LR: 0.004000
Training Epoch: 33 [40192/47500]	Loss: 0.3366	LR: 0.004000
Training Epoch: 33 [40448/47500]	Loss: 0.3384	LR: 0.004000
Training Epoch: 33 [40704/47500]	Loss: 0.3547	LR: 0.004000
Training Epoch: 33 [40960/47500]	Loss: 0.3671	LR: 0.004000
Training Epoch: 33 [41216/47500]	Loss: 0.4386	LR: 0.004000
Training Epoch: 33 [41472/47500]	Loss: 0.3800	LR: 0.004000
Training Epoch: 33 [41728/47500]	Loss: 0.2667	LR: 0.004000
Training Epoch: 33 [41984/47500]	Loss: 0.3793	LR: 0.004000
Training Epoch: 33 [42240/47500]	Loss: 0.4424	LR: 0.004000
Training Epoch: 33 [42496/47500]	Loss: 0.4278	LR: 0.004000
Training Epoch: 33 [42752/47500]	Loss: 0.3102	LR: 0.004000
Training Epoch: 33 [43008/47500]	Loss: 0.3466	LR: 0.004000
Training Epoch: 33 [43264/47500]	Loss: 0.2990	LR: 0.004000
Training Epoch: 33 [43520/47500]	Loss: 0.3091	LR: 0.004000
Training Epoch: 33 [43776/47500]	Loss: 0.2877	LR: 0.004000
Training Epoch: 33 [44032/47500]	Loss: 0.3522	LR: 0.004000
Training Epoch: 33 [44288/47500]	Loss: 0.3709	LR: 0.004000
Training Epoch: 33 [44544/47500]	Loss: 0.3373	LR: 0.004000
Training Epoch: 33 [44800/47500]	Loss: 0.3004	LR: 0.004000
Training Epoch: 33 [45056/47500]	Loss: 0.3373	LR: 0.004000
Training Epoch: 33 [45312/47500]	Loss: 0.3715	LR: 0.004000
Training Epoch: 33 [45568/47500]	Loss: 0.3623	LR: 0.004000
Training Epoch: 33 [45824/47500]	Loss: 0.3548	LR: 0.004000
Training Epoch: 33 [46080/47500]	Loss: 0.3425	LR: 0.004000
Training Epoch: 33 [46336/47500]	Loss: 0.3108	LR: 0.004000
Training Epoch: 33 [46592/47500]	Loss: 0.3634	LR: 0.004000
Training Epoch: 33 [46848/47500]	Loss: 0.4165	LR: 0.004000
Training Epoch: 33 [47104/47500]	Loss: 0.2877	LR: 0.004000
Training Epoch: 33 [47360/47500]	Loss: 0.3237	LR: 0.004000
Training Epoch: 33 [47500/47500]	Loss: 0.3863	LR: 0.004000
Epoch 33 - Average Train Loss: 0.3415, Train Accuracy: 0.8941
Epoch 33 training time consumed: 26.04s
Evaluating Network.....
Test set: Epoch: 33, Average loss: 0.0030, Accuracy: 0.7796, Time consumed:1.05s
Training Epoch: 34 [256/47500]	Loss: 0.3915	LR: 0.004000
Training Epoch: 34 [512/47500]	Loss: 0.3919	LR: 0.004000
Training Epoch: 34 [768/47500]	Loss: 0.3366	LR: 0.004000
Training Epoch: 34 [1024/47500]	Loss: 0.2746	LR: 0.004000
Training Epoch: 34 [1280/47500]	Loss: 0.3324	LR: 0.004000
Training Epoch: 34 [1536/47500]	Loss: 0.3692	LR: 0.004000
Training Epoch: 34 [1792/47500]	Loss: 0.3338	LR: 0.004000
Training Epoch: 34 [2048/47500]	Loss: 0.2704	LR: 0.004000
Training Epoch: 34 [2304/47500]	Loss: 0.3255	LR: 0.004000
Training Epoch: 34 [2560/47500]	Loss: 0.3797	LR: 0.004000
Training Epoch: 34 [2816/47500]	Loss: 0.3317	LR: 0.004000
Training Epoch: 34 [3072/47500]	Loss: 0.3043	LR: 0.004000
Training Epoch: 34 [3328/47500]	Loss: 0.2847	LR: 0.004000
Training Epoch: 34 [3584/47500]	Loss: 0.2953	LR: 0.004000
Training Epoch: 34 [3840/47500]	Loss: 0.3282	LR: 0.004000
Training Epoch: 34 [4096/47500]	Loss: 0.3295	LR: 0.004000
Training Epoch: 34 [4352/47500]	Loss: 0.3158	LR: 0.004000
Training Epoch: 34 [4608/47500]	Loss: 0.3262	LR: 0.004000
Training Epoch: 34 [4864/47500]	Loss: 0.3361	LR: 0.004000
Training Epoch: 34 [5120/47500]	Loss: 0.3615	LR: 0.004000
Training Epoch: 34 [5376/47500]	Loss: 0.3785	LR: 0.004000
Training Epoch: 34 [5632/47500]	Loss: 0.2989	LR: 0.004000
Training Epoch: 34 [5888/47500]	Loss: 0.3543	LR: 0.004000
Training Epoch: 34 [6144/47500]	Loss: 0.3204	LR: 0.004000
Training Epoch: 34 [6400/47500]	Loss: 0.3300	LR: 0.004000
Training Epoch: 34 [6656/47500]	Loss: 0.3104	LR: 0.004000
Training Epoch: 34 [6912/47500]	Loss: 0.3210	LR: 0.004000
Training Epoch: 34 [7168/47500]	Loss: 0.3466	LR: 0.004000
Training Epoch: 34 [7424/47500]	Loss: 0.2963	LR: 0.004000
Training Epoch: 34 [7680/47500]	Loss: 0.4169	LR: 0.004000
Training Epoch: 34 [7936/47500]	Loss: 0.2623	LR: 0.004000
Training Epoch: 34 [8192/47500]	Loss: 0.2808	LR: 0.004000
Training Epoch: 34 [8448/47500]	Loss: 0.3315	LR: 0.004000
Training Epoch: 34 [8704/47500]	Loss: 0.3163	LR: 0.004000
Training Epoch: 34 [8960/47500]	Loss: 0.3588	LR: 0.004000
Training Epoch: 34 [9216/47500]	Loss: 0.2576	LR: 0.004000
Training Epoch: 34 [9472/47500]	Loss: 0.2871	LR: 0.004000
Training Epoch: 34 [9728/47500]	Loss: 0.3312	LR: 0.004000
Training Epoch: 34 [9984/47500]	Loss: 0.3714	LR: 0.004000
Training Epoch: 34 [10240/47500]	Loss: 0.2885	LR: 0.004000
Training Epoch: 34 [10496/47500]	Loss: 0.2857	LR: 0.004000
Training Epoch: 34 [10752/47500]	Loss: 0.3358	LR: 0.004000
Training Epoch: 34 [11008/47500]	Loss: 0.3612	LR: 0.004000
Training Epoch: 34 [11264/47500]	Loss: 0.2876	LR: 0.004000
Training Epoch: 34 [11520/47500]	Loss: 0.3413	LR: 0.004000
Training Epoch: 34 [11776/47500]	Loss: 0.3507	LR: 0.004000
Training Epoch: 34 [12032/47500]	Loss: 0.2535	LR: 0.004000
Training Epoch: 34 [12288/47500]	Loss: 0.2848	LR: 0.004000
Training Epoch: 34 [12544/47500]	Loss: 0.3024	LR: 0.004000
Training Epoch: 34 [12800/47500]	Loss: 0.3637	LR: 0.004000
Training Epoch: 34 [13056/47500]	Loss: 0.4088	LR: 0.004000
Training Epoch: 34 [13312/47500]	Loss: 0.2769	LR: 0.004000
Training Epoch: 34 [13568/47500]	Loss: 0.2398	LR: 0.004000
Training Epoch: 34 [13824/47500]	Loss: 0.3603	LR: 0.004000
Training Epoch: 34 [14080/47500]	Loss: 0.3735	LR: 0.004000
Training Epoch: 34 [14336/47500]	Loss: 0.3184	LR: 0.004000
Training Epoch: 34 [14592/47500]	Loss: 0.3256	LR: 0.004000
Training Epoch: 34 [14848/47500]	Loss: 0.2847	LR: 0.004000
Training Epoch: 34 [15104/47500]	Loss: 0.3274	LR: 0.004000
Training Epoch: 34 [15360/47500]	Loss: 0.3548	LR: 0.004000
Training Epoch: 34 [15616/47500]	Loss: 0.3722	LR: 0.004000
Training Epoch: 34 [15872/47500]	Loss: 0.3202	LR: 0.004000
Training Epoch: 34 [16128/47500]	Loss: 0.3098	LR: 0.004000
Training Epoch: 34 [16384/47500]	Loss: 0.2404	LR: 0.004000
Training Epoch: 34 [16640/47500]	Loss: 0.3522	LR: 0.004000
Training Epoch: 34 [16896/47500]	Loss: 0.3009	LR: 0.004000
Training Epoch: 34 [17152/47500]	Loss: 0.3454	LR: 0.004000
Training Epoch: 34 [17408/47500]	Loss: 0.3651	LR: 0.004000
Training Epoch: 34 [17664/47500]	Loss: 0.3108	LR: 0.004000
Training Epoch: 34 [17920/47500]	Loss: 0.3045	LR: 0.004000
Training Epoch: 34 [18176/47500]	Loss: 0.3638	LR: 0.004000
Training Epoch: 34 [18432/47500]	Loss: 0.3271	LR: 0.004000
Training Epoch: 34 [18688/47500]	Loss: 0.2906	LR: 0.004000
Training Epoch: 34 [18944/47500]	Loss: 0.3376	LR: 0.004000
Training Epoch: 34 [19200/47500]	Loss: 0.2803	LR: 0.004000
Training Epoch: 34 [19456/47500]	Loss: 0.2674	LR: 0.004000
Training Epoch: 34 [19712/47500]	Loss: 0.3499	LR: 0.004000
Training Epoch: 34 [19968/47500]	Loss: 0.2897	LR: 0.004000
Training Epoch: 34 [20224/47500]	Loss: 0.2988	LR: 0.004000
Training Epoch: 34 [20480/47500]	Loss: 0.3287	LR: 0.004000
Training Epoch: 34 [20736/47500]	Loss: 0.3464	LR: 0.004000
Training Epoch: 34 [20992/47500]	Loss: 0.3089	LR: 0.004000
Training Epoch: 34 [21248/47500]	Loss: 0.3184	LR: 0.004000
Training Epoch: 34 [21504/47500]	Loss: 0.2297	LR: 0.004000
Training Epoch: 34 [21760/47500]	Loss: 0.3136	LR: 0.004000
Training Epoch: 34 [22016/47500]	Loss: 0.2856	LR: 0.004000
Training Epoch: 34 [22272/47500]	Loss: 0.3341	LR: 0.004000
Training Epoch: 34 [22528/47500]	Loss: 0.2768	LR: 0.004000
Training Epoch: 34 [22784/47500]	Loss: 0.3308	LR: 0.004000
Training Epoch: 34 [23040/47500]	Loss: 0.3596	LR: 0.004000
Training Epoch: 34 [23296/47500]	Loss: 0.3566	LR: 0.004000
Training Epoch: 34 [23552/47500]	Loss: 0.3035	LR: 0.004000
Training Epoch: 34 [23808/47500]	Loss: 0.3735	LR: 0.004000
Training Epoch: 34 [24064/47500]	Loss: 0.3265	LR: 0.004000
Training Epoch: 34 [24320/47500]	Loss: 0.4093	LR: 0.004000
Training Epoch: 34 [24576/47500]	Loss: 0.3927	LR: 0.004000
Training Epoch: 34 [24832/47500]	Loss: 0.3222	LR: 0.004000
Training Epoch: 34 [25088/47500]	Loss: 0.2823	LR: 0.004000
Training Epoch: 34 [25344/47500]	Loss: 0.3448	LR: 0.004000
Training Epoch: 34 [25600/47500]	Loss: 0.2815	LR: 0.004000
Training Epoch: 34 [25856/47500]	Loss: 0.3393	LR: 0.004000
Training Epoch: 34 [26112/47500]	Loss: 0.3746	LR: 0.004000
Training Epoch: 34 [26368/47500]	Loss: 0.2608	LR: 0.004000
Training Epoch: 34 [26624/47500]	Loss: 0.2924	LR: 0.004000
Training Epoch: 34 [26880/47500]	Loss: 0.2954	LR: 0.004000
Training Epoch: 34 [27136/47500]	Loss: 0.2844	LR: 0.004000
Training Epoch: 34 [27392/47500]	Loss: 0.3596	LR: 0.004000
Training Epoch: 34 [27648/47500]	Loss: 0.3320	LR: 0.004000
Training Epoch: 34 [27904/47500]	Loss: 0.3560	LR: 0.004000
Training Epoch: 34 [28160/47500]	Loss: 0.3330	LR: 0.004000
Training Epoch: 34 [28416/47500]	Loss: 0.2439	LR: 0.004000
Training Epoch: 34 [28672/47500]	Loss: 0.2890	LR: 0.004000
Training Epoch: 34 [28928/47500]	Loss: 0.3019	LR: 0.004000
Training Epoch: 34 [29184/47500]	Loss: 0.3220	LR: 0.004000
Training Epoch: 34 [29440/47500]	Loss: 0.3169	LR: 0.004000
Training Epoch: 34 [29696/47500]	Loss: 0.3005	LR: 0.004000
Training Epoch: 34 [29952/47500]	Loss: 0.3307	LR: 0.004000
Training Epoch: 34 [30208/47500]	Loss: 0.2943	LR: 0.004000
Training Epoch: 34 [30464/47500]	Loss: 0.2446	LR: 0.004000
Training Epoch: 34 [30720/47500]	Loss: 0.3092	LR: 0.004000
Training Epoch: 34 [30976/47500]	Loss: 0.3347	LR: 0.004000
Training Epoch: 34 [31232/47500]	Loss: 0.3796	LR: 0.004000
Training Epoch: 34 [31488/47500]	Loss: 0.3206	LR: 0.004000
Training Epoch: 34 [31744/47500]	Loss: 0.3025	LR: 0.004000
Training Epoch: 34 [32000/47500]	Loss: 0.3391	LR: 0.004000
Training Epoch: 34 [32256/47500]	Loss: 0.3935	LR: 0.004000
Training Epoch: 34 [32512/47500]	Loss: 0.3740	LR: 0.004000
Training Epoch: 34 [32768/47500]	Loss: 0.3155	LR: 0.004000
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Training Epoch: 34 [35584/47500]	Loss: 0.3237	LR: 0.004000
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Training Epoch: 34 [43008/47500]	Loss: 0.3083	LR: 0.004000
Training Epoch: 34 [43264/47500]	Loss: 0.3116	LR: 0.004000
Training Epoch: 34 [43520/47500]	Loss: 0.3772	LR: 0.004000
Training Epoch: 34 [43776/47500]	Loss: 0.3155	LR: 0.004000
Training Epoch: 34 [44032/47500]	Loss: 0.3432	LR: 0.004000
Training Epoch: 34 [44288/47500]	Loss: 0.3262	LR: 0.004000
Training Epoch: 34 [44544/47500]	Loss: 0.3536	LR: 0.004000
Training Epoch: 34 [44800/47500]	Loss: 0.2974	LR: 0.004000
Training Epoch: 34 [45056/47500]	Loss: 0.3259	LR: 0.004000
Training Epoch: 34 [45312/47500]	Loss: 0.3605	LR: 0.004000
Training Epoch: 34 [45568/47500]	Loss: 0.3826	LR: 0.004000
Training Epoch: 34 [45824/47500]	Loss: 0.2923	LR: 0.004000
Training Epoch: 34 [46080/47500]	Loss: 0.3329	LR: 0.004000
Training Epoch: 34 [46336/47500]	Loss: 0.2621	LR: 0.004000
Training Epoch: 34 [46592/47500]	Loss: 0.3863	LR: 0.004000
Training Epoch: 34 [46848/47500]	Loss: 0.3437	LR: 0.004000
Training Epoch: 34 [47104/47500]	Loss: 0.3347	LR: 0.004000
Training Epoch: 34 [47360/47500]	Loss: 0.3278	LR: 0.004000
Training Epoch: 34 [47500/47500]	Loss: 0.3974	LR: 0.004000
Epoch 34 - Average Train Loss: 0.3257, Train Accuracy: 0.9004
Epoch 34 training time consumed: 25.92s
Evaluating Network.....
Test set: Epoch: 34, Average loss: 0.0031, Accuracy: 0.7768, Time consumed:0.90s
Training Epoch: 35 [256/47500]	Loss: 0.3397	LR: 0.000800
Training Epoch: 35 [512/47500]	Loss: 0.3711	LR: 0.000800
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Training Epoch: 35 [1024/47500]	Loss: 0.2964	LR: 0.000800
Training Epoch: 35 [1280/47500]	Loss: 0.2442	LR: 0.000800
Training Epoch: 35 [1536/47500]	Loss: 0.3124	LR: 0.000800
Training Epoch: 35 [1792/47500]	Loss: 0.2757	LR: 0.000800
Training Epoch: 35 [2048/47500]	Loss: 0.3282	LR: 0.000800
Training Epoch: 35 [2304/47500]	Loss: 0.3253	LR: 0.000800
Training Epoch: 35 [2560/47500]	Loss: 0.2405	LR: 0.000800
Training Epoch: 35 [2816/47500]	Loss: 0.2598	LR: 0.000800
Training Epoch: 35 [3072/47500]	Loss: 0.2797	LR: 0.000800
Training Epoch: 35 [3328/47500]	Loss: 0.3044	LR: 0.000800
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Training Epoch: 35 [3840/47500]	Loss: 0.2705	LR: 0.000800
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Training Epoch: 35 [4608/47500]	Loss: 0.3388	LR: 0.000800
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Training Epoch: 35 [5120/47500]	Loss: 0.3448	LR: 0.000800
Training Epoch: 35 [5376/47500]	Loss: 0.3069	LR: 0.000800
Training Epoch: 35 [5632/47500]	Loss: 0.2949	LR: 0.000800
Training Epoch: 35 [5888/47500]	Loss: 0.3278	LR: 0.000800
Training Epoch: 35 [6144/47500]	Loss: 0.3491	LR: 0.000800
Training Epoch: 35 [6400/47500]	Loss: 0.3114	LR: 0.000800
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Training Epoch: 35 [7168/47500]	Loss: 0.3256	LR: 0.000800
Training Epoch: 35 [7424/47500]	Loss: 0.2829	LR: 0.000800
Training Epoch: 35 [7680/47500]	Loss: 0.3969	LR: 0.000800
Training Epoch: 35 [7936/47500]	Loss: 0.2596	LR: 0.000800
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Training Epoch: 35 [8448/47500]	Loss: 0.3729	LR: 0.000800
Training Epoch: 35 [8704/47500]	Loss: 0.3267	LR: 0.000800
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Training Epoch: 35 [9216/47500]	Loss: 0.3257	LR: 0.000800
Training Epoch: 35 [9472/47500]	Loss: 0.2896	LR: 0.000800
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Training Epoch: 35 [9984/47500]	Loss: 0.2478	LR: 0.000800
Training Epoch: 35 [10240/47500]	Loss: 0.2901	LR: 0.000800
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Training Epoch: 35 [44288/47500]	Loss: 0.2640	LR: 0.000800
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Training Epoch: 35 [44800/47500]	Loss: 0.2674	LR: 0.000800
Training Epoch: 35 [45056/47500]	Loss: 0.3317	LR: 0.000800
Training Epoch: 35 [45312/47500]	Loss: 0.2853	LR: 0.000800
Training Epoch: 35 [45568/47500]	Loss: 0.2592	LR: 0.000800
Training Epoch: 35 [45824/47500]	Loss: 0.2950	LR: 0.000800
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Training Epoch: 35 [46336/47500]	Loss: 0.2603	LR: 0.000800
Training Epoch: 35 [46592/47500]	Loss: 0.2511	LR: 0.000800
Training Epoch: 35 [46848/47500]	Loss: 0.2966	LR: 0.000800
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Training Epoch: 35 [47360/47500]	Loss: 0.2943	LR: 0.000800
Training Epoch: 35 [47500/47500]	Loss: 0.3016	LR: 0.000800
Epoch 35 - Average Train Loss: 0.3075, Train Accuracy: 0.9090
Epoch 35 training time consumed: 25.97s
Evaluating Network.....
Test set: Epoch: 35, Average loss: 0.0030, Accuracy: 0.7843, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_00h_02m_29s/AllCNN-Cifar20-seed10-ret50-35-best.pth
Training Epoch: 36 [256/47500]	Loss: 0.3577	LR: 0.000800
Training Epoch: 36 [512/47500]	Loss: 0.2524	LR: 0.000800
Training Epoch: 36 [768/47500]	Loss: 0.2947	LR: 0.000800
Training Epoch: 36 [1024/47500]	Loss: 0.2809	LR: 0.000800
Training Epoch: 36 [1280/47500]	Loss: 0.3191	LR: 0.000800
Training Epoch: 36 [1536/47500]	Loss: 0.2811	LR: 0.000800
Training Epoch: 36 [1792/47500]	Loss: 0.3740	LR: 0.000800
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Training Epoch: 36 [9216/47500]	Loss: 0.3201	LR: 0.000800
Training Epoch: 36 [9472/47500]	Loss: 0.2608	LR: 0.000800
Training Epoch: 36 [9728/47500]	Loss: 0.2899	LR: 0.000800
Training Epoch: 36 [9984/47500]	Loss: 0.3289	LR: 0.000800
Training Epoch: 36 [10240/47500]	Loss: 0.2508	LR: 0.000800
Training Epoch: 36 [10496/47500]	Loss: 0.3083	LR: 0.000800
Training Epoch: 36 [10752/47500]	Loss: 0.2129	LR: 0.000800
Training Epoch: 36 [11008/47500]	Loss: 0.3335	LR: 0.000800
Training Epoch: 36 [11264/47500]	Loss: 0.3257	LR: 0.000800
Training Epoch: 36 [11520/47500]	Loss: 0.3297	LR: 0.000800
Training Epoch: 36 [11776/47500]	Loss: 0.3390	LR: 0.000800
Training Epoch: 36 [12032/47500]	Loss: 0.2678	LR: 0.000800
Training Epoch: 36 [12288/47500]	Loss: 0.3425	LR: 0.000800
Training Epoch: 36 [12544/47500]	Loss: 0.3049	LR: 0.000800
Training Epoch: 36 [12800/47500]	Loss: 0.2835	LR: 0.000800
Training Epoch: 36 [13056/47500]	Loss: 0.2886	LR: 0.000800
Training Epoch: 36 [13312/47500]	Loss: 0.2919	LR: 0.000800
Training Epoch: 36 [13568/47500]	Loss: 0.3008	LR: 0.000800
Training Epoch: 36 [13824/47500]	Loss: 0.2298	LR: 0.000800
Training Epoch: 36 [14080/47500]	Loss: 0.3774	LR: 0.000800
Training Epoch: 36 [14336/47500]	Loss: 0.2709	LR: 0.000800
Training Epoch: 36 [14592/47500]	Loss: 0.3040	LR: 0.000800
Training Epoch: 36 [14848/47500]	Loss: 0.3313	LR: 0.000800
Training Epoch: 36 [15104/47500]	Loss: 0.3415	LR: 0.000800
Training Epoch: 36 [15360/47500]	Loss: 0.2720	LR: 0.000800
Training Epoch: 36 [15616/47500]	Loss: 0.3027	LR: 0.000800
Training Epoch: 36 [15872/47500]	Loss: 0.3055	LR: 0.000800
Training Epoch: 36 [16128/47500]	Loss: 0.2963	LR: 0.000800
Training Epoch: 36 [16384/47500]	Loss: 0.3300	LR: 0.000800
Training Epoch: 36 [16640/47500]	Loss: 0.3588	LR: 0.000800
Training Epoch: 36 [16896/47500]	Loss: 0.3263	LR: 0.000800
Training Epoch: 36 [17152/47500]	Loss: 0.2844	LR: 0.000800
Training Epoch: 36 [17408/47500]	Loss: 0.3275	LR: 0.000800
Training Epoch: 36 [17664/47500]	Loss: 0.2590	LR: 0.000800
Training Epoch: 36 [17920/47500]	Loss: 0.3015	LR: 0.000800
Training Epoch: 36 [18176/47500]	Loss: 0.4044	LR: 0.000800
Training Epoch: 36 [18432/47500]	Loss: 0.2489	LR: 0.000800
Training Epoch: 36 [18688/47500]	Loss: 0.3313	LR: 0.000800
Training Epoch: 36 [18944/47500]	Loss: 0.2982	LR: 0.000800
Training Epoch: 36 [19200/47500]	Loss: 0.3338	LR: 0.000800
Training Epoch: 36 [19456/47500]	Loss: 0.2591	LR: 0.000800
Training Epoch: 36 [19712/47500]	Loss: 0.3695	LR: 0.000800
Training Epoch: 36 [19968/47500]	Loss: 0.2974	LR: 0.000800
Training Epoch: 36 [20224/47500]	Loss: 0.3608	LR: 0.000800
Training Epoch: 36 [20480/47500]	Loss: 0.3046	LR: 0.000800
Training Epoch: 36 [20736/47500]	Loss: 0.3101	LR: 0.000800
Training Epoch: 36 [20992/47500]	Loss: 0.3219	LR: 0.000800
Training Epoch: 36 [21248/47500]	Loss: 0.2784	LR: 0.000800
Training Epoch: 36 [21504/47500]	Loss: 0.2977	LR: 0.000800
Training Epoch: 36 [21760/47500]	Loss: 0.3070	LR: 0.000800
Training Epoch: 36 [22016/47500]	Loss: 0.3290	LR: 0.000800
Training Epoch: 36 [22272/47500]	Loss: 0.3634	LR: 0.000800
Training Epoch: 36 [22528/47500]	Loss: 0.3000	LR: 0.000800
Training Epoch: 36 [22784/47500]	Loss: 0.4093	LR: 0.000800
Training Epoch: 36 [23040/47500]	Loss: 0.3154	LR: 0.000800
Training Epoch: 36 [23296/47500]	Loss: 0.2965	LR: 0.000800
Training Epoch: 36 [23552/47500]	Loss: 0.4393	LR: 0.000800
Training Epoch: 36 [23808/47500]	Loss: 0.2779	LR: 0.000800
Training Epoch: 36 [24064/47500]	Loss: 0.2790	LR: 0.000800
Training Epoch: 36 [24320/47500]	Loss: 0.2288	LR: 0.000800
Training Epoch: 36 [24576/47500]	Loss: 0.3446	LR: 0.000800
Training Epoch: 36 [24832/47500]	Loss: 0.3701	LR: 0.000800
Training Epoch: 36 [25088/47500]	Loss: 0.2955	LR: 0.000800
Training Epoch: 36 [25344/47500]	Loss: 0.3246	LR: 0.000800
Training Epoch: 36 [25600/47500]	Loss: 0.3623	LR: 0.000800
Training Epoch: 36 [25856/47500]	Loss: 0.3030	LR: 0.000800
Training Epoch: 36 [26112/47500]	Loss: 0.2666	LR: 0.000800
Training Epoch: 36 [26368/47500]	Loss: 0.2726	LR: 0.000800
Training Epoch: 36 [26624/47500]	Loss: 0.3286	LR: 0.000800
Training Epoch: 36 [26880/47500]	Loss: 0.3570	LR: 0.000800
Training Epoch: 36 [27136/47500]	Loss: 0.2633	LR: 0.000800
Training Epoch: 36 [27392/47500]	Loss: 0.3002	LR: 0.000800
Training Epoch: 36 [27648/47500]	Loss: 0.4223	LR: 0.000800
Training Epoch: 36 [27904/47500]	Loss: 0.1914	LR: 0.000800
Training Epoch: 36 [28160/47500]	Loss: 0.3689	LR: 0.000800
Training Epoch: 36 [28416/47500]	Loss: 0.2883	LR: 0.000800
Training Epoch: 36 [28672/47500]	Loss: 0.3433	LR: 0.000800
Training Epoch: 36 [28928/47500]	Loss: 0.3330	LR: 0.000800
Training Epoch: 36 [29184/47500]	Loss: 0.3566	LR: 0.000800
Training Epoch: 36 [29440/47500]	Loss: 0.3377	LR: 0.000800
Training Epoch: 36 [29696/47500]	Loss: 0.2655	LR: 0.000800
Training Epoch: 36 [29952/47500]	Loss: 0.2781	LR: 0.000800
Training Epoch: 36 [30208/47500]	Loss: 0.3189	LR: 0.000800
Training Epoch: 36 [30464/47500]	Loss: 0.3575	LR: 0.000800
Training Epoch: 36 [30720/47500]	Loss: 0.2248	LR: 0.000800
Training Epoch: 36 [30976/47500]	Loss: 0.2487	LR: 0.000800
Training Epoch: 36 [31232/47500]	Loss: 0.3408	LR: 0.000800
Training Epoch: 36 [31488/47500]	Loss: 0.2761	LR: 0.000800
Training Epoch: 36 [31744/47500]	Loss: 0.2852	LR: 0.000800
Training Epoch: 36 [32000/47500]	Loss: 0.2182	LR: 0.000800
Training Epoch: 36 [32256/47500]	Loss: 0.2092	LR: 0.000800
Training Epoch: 36 [32512/47500]	Loss: 0.2924	LR: 0.000800
Training Epoch: 36 [32768/47500]	Loss: 0.2891	LR: 0.000800
Training Epoch: 36 [33024/47500]	Loss: 0.2565	LR: 0.000800
Training Epoch: 36 [33280/47500]	Loss: 0.2718	LR: 0.000800
Training Epoch: 36 [33536/47500]	Loss: 0.2990	LR: 0.000800
Training Epoch: 36 [33792/47500]	Loss: 0.3051	LR: 0.000800
Training Epoch: 36 [34048/47500]	Loss: 0.2709	LR: 0.000800
Training Epoch: 36 [34304/47500]	Loss: 0.3240	LR: 0.000800
Training Epoch: 36 [34560/47500]	Loss: 0.2826	LR: 0.000800
Training Epoch: 36 [34816/47500]	Loss: 0.2518	LR: 0.000800
Training Epoch: 36 [35072/47500]	Loss: 0.3545	LR: 0.000800
Training Epoch: 36 [35328/47500]	Loss: 0.2957	LR: 0.000800
Training Epoch: 36 [35584/47500]	Loss: 0.3146	LR: 0.000800
Training Epoch: 36 [35840/47500]	Loss: 0.3133	LR: 0.000800
Training Epoch: 36 [36096/47500]	Loss: 0.2628	LR: 0.000800
Training Epoch: 36 [36352/47500]	Loss: 0.2626	LR: 0.000800
Training Epoch: 36 [36608/47500]	Loss: 0.2468	LR: 0.000800
Training Epoch: 36 [36864/47500]	Loss: 0.3099	LR: 0.000800
Training Epoch: 36 [37120/47500]	Loss: 0.2895	LR: 0.000800
Training Epoch: 36 [37376/47500]	Loss: 0.2727	LR: 0.000800
Training Epoch: 36 [37632/47500]	Loss: 0.3307	LR: 0.000800
Training Epoch: 36 [37888/47500]	Loss: 0.3330	LR: 0.000800
Training Epoch: 36 [38144/47500]	Loss: 0.2643	LR: 0.000800
Training Epoch: 36 [38400/47500]	Loss: 0.2513	LR: 0.000800
Training Epoch: 36 [38656/47500]	Loss: 0.2908	LR: 0.000800
Training Epoch: 36 [38912/47500]	Loss: 0.3056	LR: 0.000800
Training Epoch: 36 [39168/47500]	Loss: 0.2860	LR: 0.000800
Training Epoch: 36 [39424/47500]	Loss: 0.2423	LR: 0.000800
Training Epoch: 36 [39680/47500]	Loss: 0.3347	LR: 0.000800
Training Epoch: 36 [39936/47500]	Loss: 0.2874	LR: 0.000800
Training Epoch: 36 [40192/47500]	Loss: 0.3793	LR: 0.000800
Training Epoch: 36 [40448/47500]	Loss: 0.2932	LR: 0.000800
Training Epoch: 36 [40704/47500]	Loss: 0.2731	LR: 0.000800
Training Epoch: 36 [40960/47500]	Loss: 0.3653	LR: 0.000800
Training Epoch: 36 [41216/47500]	Loss: 0.3358	LR: 0.000800
Training Epoch: 36 [41472/47500]	Loss: 0.2805	LR: 0.000800
Training Epoch: 36 [41728/47500]	Loss: 0.3113	LR: 0.000800
Training Epoch: 36 [41984/47500]	Loss: 0.2643	LR: 0.000800
Training Epoch: 36 [42240/47500]	Loss: 0.3829	LR: 0.000800
Training Epoch: 36 [42496/47500]	Loss: 0.3823	LR: 0.000800
Training Epoch: 36 [42752/47500]	Loss: 0.3913	LR: 0.000800
Training Epoch: 36 [43008/47500]	Loss: 0.2189	LR: 0.000800
Training Epoch: 36 [43264/47500]	Loss: 0.3363	LR: 0.000800
Training Epoch: 36 [43520/47500]	Loss: 0.2553	LR: 0.000800
Training Epoch: 36 [43776/47500]	Loss: 0.3254	LR: 0.000800
Training Epoch: 36 [44032/47500]	Loss: 0.3507	LR: 0.000800
Training Epoch: 36 [44288/47500]	Loss: 0.2687	LR: 0.000800
Training Epoch: 36 [44544/47500]	Loss: 0.3198	LR: 0.000800
Training Epoch: 36 [44800/47500]	Loss: 0.2673	LR: 0.000800
Training Epoch: 36 [45056/47500]	Loss: 0.3126	LR: 0.000800
Training Epoch: 36 [45312/47500]	Loss: 0.3171	LR: 0.000800
Training Epoch: 36 [45568/47500]	Loss: 0.2718	LR: 0.000800
Training Epoch: 36 [45824/47500]	Loss: 0.2842	LR: 0.000800
Training Epoch: 36 [46080/47500]	Loss: 0.3626	LR: 0.000800
Training Epoch: 36 [46336/47500]	Loss: 0.3079	LR: 0.000800
Training Epoch: 36 [46592/47500]	Loss: 0.3343	LR: 0.000800
Training Epoch: 36 [46848/47500]	Loss: 0.2631	LR: 0.000800
Training Epoch: 36 [47104/47500]	Loss: 0.3374	LR: 0.000800
Training Epoch: 36 [47360/47500]	Loss: 0.3401	LR: 0.000800
Training Epoch: 36 [47500/47500]	Loss: 0.3545	LR: 0.000800
Epoch 36 - Average Train Loss: 0.3036, Train Accuracy: 0.9091
Epoch 36 training time consumed: 26.07s
Evaluating Network.....
Test set: Epoch: 36, Average loss: 0.0030, Accuracy: 0.7796, Time consumed:0.93s
Training Epoch: 37 [256/47500]	Loss: 0.3170	LR: 0.000800
Training Epoch: 37 [512/47500]	Loss: 0.3375	LR: 0.000800
Training Epoch: 37 [768/47500]	Loss: 0.3299	LR: 0.000800
Training Epoch: 37 [1024/47500]	Loss: 0.3364	LR: 0.000800
Training Epoch: 37 [1280/47500]	Loss: 0.2712	LR: 0.000800
Training Epoch: 37 [1536/47500]	Loss: 0.2517	LR: 0.000800
Training Epoch: 37 [1792/47500]	Loss: 0.2715	LR: 0.000800
Training Epoch: 37 [2048/47500]	Loss: 0.2996	LR: 0.000800
Training Epoch: 37 [2304/47500]	Loss: 0.2903	LR: 0.000800
Training Epoch: 37 [2560/47500]	Loss: 0.3886	LR: 0.000800
Training Epoch: 37 [2816/47500]	Loss: 0.2812	LR: 0.000800
Training Epoch: 37 [3072/47500]	Loss: 0.3281	LR: 0.000800
Training Epoch: 37 [3328/47500]	Loss: 0.2785	LR: 0.000800
Training Epoch: 37 [3584/47500]	Loss: 0.3064	LR: 0.000800
Training Epoch: 37 [3840/47500]	Loss: 0.2956	LR: 0.000800
Training Epoch: 37 [4096/47500]	Loss: 0.2957	LR: 0.000800
Training Epoch: 37 [4352/47500]	Loss: 0.2354	LR: 0.000800
Training Epoch: 37 [4608/47500]	Loss: 0.3431	LR: 0.000800
Training Epoch: 37 [4864/47500]	Loss: 0.2785	LR: 0.000800
Training Epoch: 37 [5120/47500]	Loss: 0.2527	LR: 0.000800
Training Epoch: 37 [5376/47500]	Loss: 0.3247	LR: 0.000800
Training Epoch: 37 [5632/47500]	Loss: 0.2596	LR: 0.000800
Training Epoch: 37 [5888/47500]	Loss: 0.3137	LR: 0.000800
Training Epoch: 37 [6144/47500]	Loss: 0.2372	LR: 0.000800
Training Epoch: 37 [6400/47500]	Loss: 0.2649	LR: 0.000800
Training Epoch: 37 [6656/47500]	Loss: 0.3052	LR: 0.000800
Training Epoch: 37 [6912/47500]	Loss: 0.2380	LR: 0.000800
Training Epoch: 37 [7168/47500]	Loss: 0.3082	LR: 0.000800
Training Epoch: 37 [7424/47500]	Loss: 0.3416	LR: 0.000800
Training Epoch: 37 [7680/47500]	Loss: 0.3312	LR: 0.000800
Training Epoch: 37 [7936/47500]	Loss: 0.2464	LR: 0.000800
Training Epoch: 37 [8192/47500]	Loss: 0.2469	LR: 0.000800
Training Epoch: 37 [8448/47500]	Loss: 0.2981	LR: 0.000800
Training Epoch: 37 [8704/47500]	Loss: 0.3039	LR: 0.000800
Training Epoch: 37 [8960/47500]	Loss: 0.2875	LR: 0.000800
Training Epoch: 37 [9216/47500]	Loss: 0.2517	LR: 0.000800
Training Epoch: 37 [9472/47500]	Loss: 0.3759	LR: 0.000800
Training Epoch: 37 [9728/47500]	Loss: 0.2700	LR: 0.000800
Training Epoch: 37 [9984/47500]	Loss: 0.3014	LR: 0.000800
Training Epoch: 37 [10240/47500]	Loss: 0.3113	LR: 0.000800
Training Epoch: 37 [10496/47500]	Loss: 0.3278	LR: 0.000800
Training Epoch: 37 [10752/47500]	Loss: 0.2599	LR: 0.000800
Training Epoch: 37 [11008/47500]	Loss: 0.3220	LR: 0.000800
Training Epoch: 37 [11264/47500]	Loss: 0.3103	LR: 0.000800
Training Epoch: 37 [11520/47500]	Loss: 0.3471	LR: 0.000800
Training Epoch: 37 [11776/47500]	Loss: 0.2851	LR: 0.000800
Training Epoch: 37 [12032/47500]	Loss: 0.3268	LR: 0.000800
Training Epoch: 37 [12288/47500]	Loss: 0.2794	LR: 0.000800
Training Epoch: 37 [12544/47500]	Loss: 0.2884	LR: 0.000800
Training Epoch: 37 [12800/47500]	Loss: 0.2826	LR: 0.000800
Training Epoch: 37 [13056/47500]	Loss: 0.2731	LR: 0.000800
Training Epoch: 37 [13312/47500]	Loss: 0.2767	LR: 0.000800
Training Epoch: 37 [13568/47500]	Loss: 0.3120	LR: 0.000800
Training Epoch: 37 [13824/47500]	Loss: 0.3004	LR: 0.000800
Training Epoch: 37 [14080/47500]	Loss: 0.3725	LR: 0.000800
Training Epoch: 37 [14336/47500]	Loss: 0.2653	LR: 0.000800
Training Epoch: 37 [14592/47500]	Loss: 0.2977	LR: 0.000800
Training Epoch: 37 [14848/47500]	Loss: 0.2968	LR: 0.000800
Training Epoch: 37 [15104/47500]	Loss: 0.3309	LR: 0.000800
Training Epoch: 37 [15360/47500]	Loss: 0.2795	LR: 0.000800
Training Epoch: 37 [15616/47500]	Loss: 0.3217	LR: 0.000800
Training Epoch: 37 [15872/47500]	Loss: 0.3088	LR: 0.000800
Training Epoch: 37 [16128/47500]	Loss: 0.3317	LR: 0.000800
Training Epoch: 37 [16384/47500]	Loss: 0.2616	LR: 0.000800
Training Epoch: 37 [16640/47500]	Loss: 0.3542	LR: 0.000800
Training Epoch: 37 [16896/47500]	Loss: 0.2692	LR: 0.000800
Training Epoch: 37 [17152/47500]	Loss: 0.2358	LR: 0.000800
Training Epoch: 37 [17408/47500]	Loss: 0.3216	LR: 0.000800
Training Epoch: 37 [17664/47500]	Loss: 0.3072	LR: 0.000800
Training Epoch: 37 [17920/47500]	Loss: 0.2495	LR: 0.000800
Training Epoch: 37 [18176/47500]	Loss: 0.3045	LR: 0.000800
Training Epoch: 37 [18432/47500]	Loss: 0.2812	LR: 0.000800
Training Epoch: 37 [18688/47500]	Loss: 0.2803	LR: 0.000800
Training Epoch: 37 [18944/47500]	Loss: 0.2917	LR: 0.000800
Training Epoch: 37 [19200/47500]	Loss: 0.3154	LR: 0.000800
Training Epoch: 37 [19456/47500]	Loss: 0.3234	LR: 0.000800
Training Epoch: 37 [19712/47500]	Loss: 0.3086	LR: 0.000800
Training Epoch: 37 [19968/47500]	Loss: 0.3230	LR: 0.000800
Training Epoch: 37 [20224/47500]	Loss: 0.3137	LR: 0.000800
Training Epoch: 37 [20480/47500]	Loss: 0.3204	LR: 0.000800
Training Epoch: 37 [20736/47500]	Loss: 0.2608	LR: 0.000800
Training Epoch: 37 [20992/47500]	Loss: 0.2836	LR: 0.000800
Training Epoch: 37 [21248/47500]	Loss: 0.2760	LR: 0.000800
Training Epoch: 37 [21504/47500]	Loss: 0.3437	LR: 0.000800
Training Epoch: 37 [21760/47500]	Loss: 0.3135	LR: 0.000800
Training Epoch: 37 [22016/47500]	Loss: 0.3422	LR: 0.000800
Training Epoch: 37 [22272/47500]	Loss: 0.2647	LR: 0.000800
Training Epoch: 37 [22528/47500]	Loss: 0.2569	LR: 0.000800
Training Epoch: 37 [22784/47500]	Loss: 0.2984	LR: 0.000800
Training Epoch: 37 [23040/47500]	Loss: 0.2601	LR: 0.000800
Training Epoch: 37 [23296/47500]	Loss: 0.3152	LR: 0.000800
Training Epoch: 37 [23552/47500]	Loss: 0.2488	LR: 0.000800
Training Epoch: 37 [23808/47500]	Loss: 0.3056	LR: 0.000800
Training Epoch: 37 [24064/47500]	Loss: 0.3246	LR: 0.000800
Training Epoch: 37 [24320/47500]	Loss: 0.2845	LR: 0.000800
Training Epoch: 37 [24576/47500]	Loss: 0.3267	LR: 0.000800
Training Epoch: 37 [24832/47500]	Loss: 0.2463	LR: 0.000800
Training Epoch: 37 [25088/47500]	Loss: 0.3088	LR: 0.000800
Training Epoch: 37 [25344/47500]	Loss: 0.3217	LR: 0.000800
Training Epoch: 37 [25600/47500]	Loss: 0.3297	LR: 0.000800
Training Epoch: 37 [25856/47500]	Loss: 0.2897	LR: 0.000800
Training Epoch: 37 [26112/47500]	Loss: 0.2724	LR: 0.000800
Training Epoch: 37 [26368/47500]	Loss: 0.3077	LR: 0.000800
Training Epoch: 37 [26624/47500]	Loss: 0.2333	LR: 0.000800
Training Epoch: 37 [26880/47500]	Loss: 0.2458	LR: 0.000800
Training Epoch: 37 [27136/47500]	Loss: 0.3031	LR: 0.000800
Training Epoch: 37 [27392/47500]	Loss: 0.2777	LR: 0.000800
Training Epoch: 37 [27648/47500]	Loss: 0.2470	LR: 0.000800
Training Epoch: 37 [27904/47500]	Loss: 0.2812	LR: 0.000800
Training Epoch: 37 [28160/47500]	Loss: 0.2371	LR: 0.000800
Training Epoch: 37 [28416/47500]	Loss: 0.3251	LR: 0.000800
Training Epoch: 37 [28672/47500]	Loss: 0.2529	LR: 0.000800
Training Epoch: 37 [28928/47500]	Loss: 0.3339	LR: 0.000800
Training Epoch: 37 [29184/47500]	Loss: 0.3059	LR: 0.000800
Training Epoch: 37 [29440/47500]	Loss: 0.2317	LR: 0.000800
Training Epoch: 37 [29696/47500]	Loss: 0.2622	LR: 0.000800
Training Epoch: 37 [29952/47500]	Loss: 0.3508	LR: 0.000800
Training Epoch: 37 [30208/47500]	Loss: 0.3327	LR: 0.000800
Training Epoch: 37 [30464/47500]	Loss: 0.2580	LR: 0.000800
Training Epoch: 37 [30720/47500]	Loss: 0.2005	LR: 0.000800
Training Epoch: 37 [30976/47500]	Loss: 0.2607	LR: 0.000800
Training Epoch: 37 [31232/47500]	Loss: 0.2319	LR: 0.000800
Training Epoch: 37 [31488/47500]	Loss: 0.2787	LR: 0.000800
Training Epoch: 37 [31744/47500]	Loss: 0.2658	LR: 0.000800
Training Epoch: 37 [32000/47500]	Loss: 0.2927	LR: 0.000800
Training Epoch: 37 [32256/47500]	Loss: 0.2815	LR: 0.000800
Training Epoch: 37 [32512/47500]	Loss: 0.3425	LR: 0.000800
Training Epoch: 37 [32768/47500]	Loss: 0.2665	LR: 0.000800
Training Epoch: 37 [33024/47500]	Loss: 0.2736	LR: 0.000800
Training Epoch: 37 [33280/47500]	Loss: 0.3517	LR: 0.000800
Training Epoch: 37 [33536/47500]	Loss: 0.2586	LR: 0.000800
Training Epoch: 37 [33792/47500]	Loss: 0.2604	LR: 0.000800
Training Epoch: 37 [34048/47500]	Loss: 0.3166	LR: 0.000800
Training Epoch: 37 [34304/47500]	Loss: 0.3040	LR: 0.000800
Training Epoch: 37 [34560/47500]	Loss: 0.2681	LR: 0.000800
Training Epoch: 37 [34816/47500]	Loss: 0.2745	LR: 0.000800
Training Epoch: 37 [35072/47500]	Loss: 0.2825	LR: 0.000800
Training Epoch: 37 [35328/47500]	Loss: 0.3569	LR: 0.000800
Training Epoch: 37 [35584/47500]	Loss: 0.3451	LR: 0.000800
Training Epoch: 37 [35840/47500]	Loss: 0.3414	LR: 0.000800
Training Epoch: 37 [36096/47500]	Loss: 0.3423	LR: 0.000800
Training Epoch: 37 [36352/47500]	Loss: 0.3302	LR: 0.000800
Training Epoch: 37 [36608/47500]	Loss: 0.3081	LR: 0.000800
Training Epoch: 37 [36864/47500]	Loss: 0.3479	LR: 0.000800
Training Epoch: 37 [37120/47500]	Loss: 0.2765	LR: 0.000800
Training Epoch: 37 [37376/47500]	Loss: 0.3087	LR: 0.000800
Training Epoch: 37 [37632/47500]	Loss: 0.2738	LR: 0.000800
Training Epoch: 37 [37888/47500]	Loss: 0.2760	LR: 0.000800
Training Epoch: 37 [38144/47500]	Loss: 0.3794	LR: 0.000800
Training Epoch: 37 [38400/47500]	Loss: 0.2649	LR: 0.000800
Training Epoch: 37 [38656/47500]	Loss: 0.2622	LR: 0.000800
Training Epoch: 37 [38912/47500]	Loss: 0.3207	LR: 0.000800
Training Epoch: 37 [39168/47500]	Loss: 0.2666	LR: 0.000800
Training Epoch: 37 [39424/47500]	Loss: 0.3022	LR: 0.000800
Training Epoch: 37 [39680/47500]	Loss: 0.2654	LR: 0.000800
Training Epoch: 37 [39936/47500]	Loss: 0.2995	LR: 0.000800
Training Epoch: 37 [40192/47500]	Loss: 0.3421	LR: 0.000800
Training Epoch: 37 [40448/47500]	Loss: 0.2744	LR: 0.000800
Training Epoch: 37 [40704/47500]	Loss: 0.3447	LR: 0.000800
Training Epoch: 37 [40960/47500]	Loss: 0.3673	LR: 0.000800
Training Epoch: 37 [41216/47500]	Loss: 0.3037	LR: 0.000800
Training Epoch: 37 [41472/47500]	Loss: 0.3353	LR: 0.000800
Training Epoch: 37 [41728/47500]	Loss: 0.3547	LR: 0.000800
Training Epoch: 37 [41984/47500]	Loss: 0.2931	LR: 0.000800
Training Epoch: 37 [42240/47500]	Loss: 0.3100	LR: 0.000800
Training Epoch: 37 [42496/47500]	Loss: 0.2127	LR: 0.000800
Training Epoch: 37 [42752/47500]	Loss: 0.2724	LR: 0.000800
Training Epoch: 37 [43008/47500]	Loss: 0.2902	LR: 0.000800
Training Epoch: 37 [43264/47500]	Loss: 0.3314	LR: 0.000800
Training Epoch: 37 [43520/47500]	Loss: 0.2838	LR: 0.000800
Training Epoch: 37 [43776/47500]	Loss: 0.3203	LR: 0.000800
Training Epoch: 37 [44032/47500]	Loss: 0.2643	LR: 0.000800
Training Epoch: 37 [44288/47500]	Loss: 0.2691	LR: 0.000800
Training Epoch: 37 [44544/47500]	Loss: 0.3012	LR: 0.000800
Training Epoch: 37 [44800/47500]	Loss: 0.2914	LR: 0.000800
Training Epoch: 37 [45056/47500]	Loss: 0.2902	LR: 0.000800
Training Epoch: 37 [45312/47500]	Loss: 0.2793	LR: 0.000800
Training Epoch: 37 [45568/47500]	Loss: 0.3296	LR: 0.000800
Training Epoch: 37 [45824/47500]	Loss: 0.3415	LR: 0.000800
Training Epoch: 37 [46080/47500]	Loss: 0.3423	LR: 0.000800
Training Epoch: 37 [46336/47500]	Loss: 0.2788	LR: 0.000800
Training Epoch: 37 [46592/47500]	Loss: 0.2731	LR: 0.000800
Training Epoch: 37 [46848/47500]	Loss: 0.2621	LR: 0.000800
Training Epoch: 37 [47104/47500]	Loss: 0.3237	LR: 0.000800
Training Epoch: 37 [47360/47500]	Loss: 0.3362	LR: 0.000800
Training Epoch: 37 [47500/47500]	Loss: 0.2141	LR: 0.000800
Epoch 37 - Average Train Loss: 0.2961, Train Accuracy: 0.9114
Epoch 37 training time consumed: 26.31s
Evaluating Network.....
Test set: Epoch: 37, Average loss: 0.0030, Accuracy: 0.7814, Time consumed:0.92s
Training Epoch: 38 [256/47500]	Loss: 0.2773	LR: 0.000800
Training Epoch: 38 [512/47500]	Loss: 0.2721	LR: 0.000800
Training Epoch: 38 [768/47500]	Loss: 0.3434	LR: 0.000800
Training Epoch: 38 [1024/47500]	Loss: 0.3309	LR: 0.000800
Training Epoch: 38 [1280/47500]	Loss: 0.2247	LR: 0.000800
Training Epoch: 38 [1536/47500]	Loss: 0.3276	LR: 0.000800
Training Epoch: 38 [1792/47500]	Loss: 0.3080	LR: 0.000800
Training Epoch: 38 [2048/47500]	Loss: 0.2591	LR: 0.000800
Training Epoch: 38 [2304/47500]	Loss: 0.2696	LR: 0.000800
Training Epoch: 38 [2560/47500]	Loss: 0.3080	LR: 0.000800
Training Epoch: 38 [2816/47500]	Loss: 0.2659	LR: 0.000800
Training Epoch: 38 [3072/47500]	Loss: 0.2848	LR: 0.000800
Training Epoch: 38 [3328/47500]	Loss: 0.2914	LR: 0.000800
Training Epoch: 38 [3584/47500]	Loss: 0.2969	LR: 0.000800
Training Epoch: 38 [3840/47500]	Loss: 0.3352	LR: 0.000800
Training Epoch: 38 [4096/47500]	Loss: 0.2915	LR: 0.000800
Training Epoch: 38 [4352/47500]	Loss: 0.2228	LR: 0.000800
Training Epoch: 38 [4608/47500]	Loss: 0.2891	LR: 0.000800
Training Epoch: 38 [4864/47500]	Loss: 0.3345	LR: 0.000800
Training Epoch: 38 [5120/47500]	Loss: 0.2799	LR: 0.000800
Training Epoch: 38 [5376/47500]	Loss: 0.2623	LR: 0.000800
Training Epoch: 38 [5632/47500]	Loss: 0.2786	LR: 0.000800
Training Epoch: 38 [5888/47500]	Loss: 0.2849	LR: 0.000800
Training Epoch: 38 [6144/47500]	Loss: 0.3401	LR: 0.000800
Training Epoch: 38 [6400/47500]	Loss: 0.3043	LR: 0.000800
Training Epoch: 38 [6656/47500]	Loss: 0.3129	LR: 0.000800
Training Epoch: 38 [6912/47500]	Loss: 0.3186	LR: 0.000800
Training Epoch: 38 [7168/47500]	Loss: 0.2152	LR: 0.000800
Training Epoch: 38 [7424/47500]	Loss: 0.3052	LR: 0.000800
Training Epoch: 38 [7680/47500]	Loss: 0.4722	LR: 0.000800
Training Epoch: 38 [7936/47500]	Loss: 0.3316	LR: 0.000800
Training Epoch: 38 [8192/47500]	Loss: 0.2385	LR: 0.000800
Training Epoch: 38 [8448/47500]	Loss: 0.3298	LR: 0.000800
Training Epoch: 38 [8704/47500]	Loss: 0.3217	LR: 0.000800
Training Epoch: 38 [8960/47500]	Loss: 0.3377	LR: 0.000800
Training Epoch: 38 [9216/47500]	Loss: 0.3118	LR: 0.000800
Training Epoch: 38 [9472/47500]	Loss: 0.2949	LR: 0.000800
Training Epoch: 38 [9728/47500]	Loss: 0.4141	LR: 0.000800
Training Epoch: 38 [9984/47500]	Loss: 0.3199	LR: 0.000800
Training Epoch: 38 [10240/47500]	Loss: 0.2532	LR: 0.000800
Training Epoch: 38 [10496/47500]	Loss: 0.3395	LR: 0.000800
Training Epoch: 38 [10752/47500]	Loss: 0.3074	LR: 0.000800
Training Epoch: 38 [11008/47500]	Loss: 0.3351	LR: 0.000800
Training Epoch: 38 [11264/47500]	Loss: 0.2656	LR: 0.000800
Training Epoch: 38 [11520/47500]	Loss: 0.3398	LR: 0.000800
Training Epoch: 38 [11776/47500]	Loss: 0.2616	LR: 0.000800
Training Epoch: 38 [12032/47500]	Loss: 0.2926	LR: 0.000800
Training Epoch: 38 [12288/47500]	Loss: 0.2969	LR: 0.000800
Training Epoch: 38 [12544/47500]	Loss: 0.3442	LR: 0.000800
Training Epoch: 38 [12800/47500]	Loss: 0.2093	LR: 0.000800
Training Epoch: 38 [13056/47500]	Loss: 0.3242	LR: 0.000800
Training Epoch: 38 [13312/47500]	Loss: 0.2530	LR: 0.000800
Training Epoch: 38 [13568/47500]	Loss: 0.2469	LR: 0.000800
Training Epoch: 38 [13824/47500]	Loss: 0.3770	LR: 0.000800
Training Epoch: 38 [14080/47500]	Loss: 0.3322	LR: 0.000800
Training Epoch: 38 [14336/47500]	Loss: 0.2839	LR: 0.000800
Training Epoch: 38 [14592/47500]	Loss: 0.3481	LR: 0.000800
Training Epoch: 38 [14848/47500]	Loss: 0.2627	LR: 0.000800
Training Epoch: 38 [15104/47500]	Loss: 0.1976	LR: 0.000800
Training Epoch: 38 [15360/47500]	Loss: 0.3101	LR: 0.000800
Training Epoch: 38 [15616/47500]	Loss: 0.2838	LR: 0.000800
Training Epoch: 38 [15872/47500]	Loss: 0.3061	LR: 0.000800
Training Epoch: 38 [16128/47500]	Loss: 0.2690	LR: 0.000800
Training Epoch: 38 [16384/47500]	Loss: 0.2705	LR: 0.000800
Training Epoch: 38 [16640/47500]	Loss: 0.3059	LR: 0.000800
Training Epoch: 38 [16896/47500]	Loss: 0.2888	LR: 0.000800
Training Epoch: 38 [17152/47500]	Loss: 0.3214	LR: 0.000800
Training Epoch: 38 [17408/47500]	Loss: 0.3325	LR: 0.000800
Training Epoch: 38 [17664/47500]	Loss: 0.2931	LR: 0.000800
Training Epoch: 38 [17920/47500]	Loss: 0.3340	LR: 0.000800
Training Epoch: 38 [18176/47500]	Loss: 0.3101	LR: 0.000800
Training Epoch: 38 [18432/47500]	Loss: 0.2727	LR: 0.000800
Training Epoch: 38 [18688/47500]	Loss: 0.2993	LR: 0.000800
Training Epoch: 38 [18944/47500]	Loss: 0.2477	LR: 0.000800
Training Epoch: 38 [19200/47500]	Loss: 0.2729	LR: 0.000800
Training Epoch: 38 [19456/47500]	Loss: 0.2406	LR: 0.000800
Training Epoch: 38 [19712/47500]	Loss: 0.3172	LR: 0.000800
Training Epoch: 38 [19968/47500]	Loss: 0.2701	LR: 0.000800
Training Epoch: 38 [20224/47500]	Loss: 0.3017	LR: 0.000800
Training Epoch: 38 [20480/47500]	Loss: 0.3298	LR: 0.000800
Training Epoch: 38 [20736/47500]	Loss: 0.2761	LR: 0.000800
Training Epoch: 38 [20992/47500]	Loss: 0.3019	LR: 0.000800
Training Epoch: 38 [21248/47500]	Loss: 0.2773	LR: 0.000800
Training Epoch: 38 [21504/47500]	Loss: 0.3996	LR: 0.000800
Training Epoch: 38 [21760/47500]	Loss: 0.2788	LR: 0.000800
Training Epoch: 38 [22016/47500]	Loss: 0.3330	LR: 0.000800
Training Epoch: 38 [22272/47500]	Loss: 0.2521	LR: 0.000800
Training Epoch: 38 [22528/47500]	Loss: 0.3289	LR: 0.000800
Training Epoch: 38 [22784/47500]	Loss: 0.2947	LR: 0.000800
Training Epoch: 38 [23040/47500]	Loss: 0.2972	LR: 0.000800
Training Epoch: 38 [23296/47500]	Loss: 0.2768	LR: 0.000800
Training Epoch: 38 [23552/47500]	Loss: 0.2858	LR: 0.000800
Training Epoch: 38 [23808/47500]	Loss: 0.2722	LR: 0.000800
Training Epoch: 38 [24064/47500]	Loss: 0.2708	LR: 0.000800
Training Epoch: 38 [24320/47500]	Loss: 0.2829	LR: 0.000800
Training Epoch: 38 [24576/47500]	Loss: 0.2988	LR: 0.000800
Training Epoch: 38 [24832/47500]	Loss: 0.2800	LR: 0.000800
Training Epoch: 38 [25088/47500]	Loss: 0.3240	LR: 0.000800
Training Epoch: 38 [25344/47500]	Loss: 0.3164	LR: 0.000800
Training Epoch: 38 [25600/47500]	Loss: 0.3562	LR: 0.000800
Training Epoch: 38 [25856/47500]	Loss: 0.2746	LR: 0.000800
Training Epoch: 38 [26112/47500]	Loss: 0.3311	LR: 0.000800
Training Epoch: 38 [26368/47500]	Loss: 0.2148	LR: 0.000800
Training Epoch: 38 [26624/47500]	Loss: 0.3195	LR: 0.000800
Training Epoch: 38 [26880/47500]	Loss: 0.2980	LR: 0.000800
Training Epoch: 38 [27136/47500]	Loss: 0.2788	LR: 0.000800
Training Epoch: 38 [27392/47500]	Loss: 0.3115	LR: 0.000800
Training Epoch: 38 [27648/47500]	Loss: 0.2394	LR: 0.000800
Training Epoch: 38 [27904/47500]	Loss: 0.3335	LR: 0.000800
Training Epoch: 38 [28160/47500]	Loss: 0.2374	LR: 0.000800
Training Epoch: 38 [28416/47500]	Loss: 0.2845	LR: 0.000800
Training Epoch: 38 [28672/47500]	Loss: 0.3056	LR: 0.000800
Training Epoch: 38 [28928/47500]	Loss: 0.2689	LR: 0.000800
Training Epoch: 38 [29184/47500]	Loss: 0.3146	LR: 0.000800
Training Epoch: 38 [29440/47500]	Loss: 0.2914	LR: 0.000800
Training Epoch: 38 [29696/47500]	Loss: 0.2669	LR: 0.000800
Training Epoch: 38 [29952/47500]	Loss: 0.2880	LR: 0.000800
Training Epoch: 38 [30208/47500]	Loss: 0.2658	LR: 0.000800
Training Epoch: 38 [30464/47500]	Loss: 0.2615	LR: 0.000800
Training Epoch: 38 [30720/47500]	Loss: 0.2968	LR: 0.000800
Training Epoch: 38 [30976/47500]	Loss: 0.3375	LR: 0.000800
Training Epoch: 38 [31232/47500]	Loss: 0.2115	LR: 0.000800
Training Epoch: 38 [31488/47500]	Loss: 0.2877	LR: 0.000800
Training Epoch: 38 [31744/47500]	Loss: 0.3420	LR: 0.000800
Training Epoch: 38 [32000/47500]	Loss: 0.2313	LR: 0.000800
Training Epoch: 38 [32256/47500]	Loss: 0.3052	LR: 0.000800
Training Epoch: 38 [32512/47500]	Loss: 0.2906	LR: 0.000800
Training Epoch: 38 [32768/47500]	Loss: 0.2935	LR: 0.000800
Training Epoch: 38 [33024/47500]	Loss: 0.2843	LR: 0.000800
Training Epoch: 38 [33280/47500]	Loss: 0.3041	LR: 0.000800
Training Epoch: 38 [33536/47500]	Loss: 0.3106	LR: 0.000800
Training Epoch: 38 [33792/47500]	Loss: 0.2421	LR: 0.000800
Training Epoch: 38 [34048/47500]	Loss: 0.2481	LR: 0.000800
Training Epoch: 38 [34304/47500]	Loss: 0.2810	LR: 0.000800
Training Epoch: 38 [34560/47500]	Loss: 0.2886	LR: 0.000800
Training Epoch: 38 [34816/47500]	Loss: 0.3292	LR: 0.000800
Training Epoch: 38 [35072/47500]	Loss: 0.3008	LR: 0.000800
Training Epoch: 38 [35328/47500]	Loss: 0.2519	LR: 0.000800
Training Epoch: 38 [35584/47500]	Loss: 0.2520	LR: 0.000800
Training Epoch: 38 [35840/47500]	Loss: 0.2989	LR: 0.000800
Training Epoch: 38 [36096/47500]	Loss: 0.2531	LR: 0.000800
Training Epoch: 38 [36352/47500]	Loss: 0.2558	LR: 0.000800
Training Epoch: 38 [36608/47500]	Loss: 0.2780	LR: 0.000800
Training Epoch: 38 [36864/47500]	Loss: 0.2489	LR: 0.000800
Training Epoch: 38 [37120/47500]	Loss: 0.3466	LR: 0.000800
Training Epoch: 38 [37376/47500]	Loss: 0.2910	LR: 0.000800
Training Epoch: 38 [37632/47500]	Loss: 0.2535	LR: 0.000800
Training Epoch: 38 [37888/47500]	Loss: 0.3082	LR: 0.000800
Training Epoch: 38 [38144/47500]	Loss: 0.3102	LR: 0.000800
Training Epoch: 38 [38400/47500]	Loss: 0.2548	LR: 0.000800
Training Epoch: 38 [38656/47500]	Loss: 0.3035	LR: 0.000800
Training Epoch: 38 [38912/47500]	Loss: 0.3494	LR: 0.000800
Training Epoch: 38 [39168/47500]	Loss: 0.2430	LR: 0.000800
Training Epoch: 38 [39424/47500]	Loss: 0.2987	LR: 0.000800
Training Epoch: 38 [39680/47500]	Loss: 0.2796	LR: 0.000800
Training Epoch: 38 [39936/47500]	Loss: 0.2794	LR: 0.000800
Training Epoch: 38 [40192/47500]	Loss: 0.2870	LR: 0.000800
Training Epoch: 38 [40448/47500]	Loss: 0.2437	LR: 0.000800
Training Epoch: 38 [40704/47500]	Loss: 0.2666	LR: 0.000800
Training Epoch: 38 [40960/47500]	Loss: 0.2527	LR: 0.000800
Training Epoch: 38 [41216/47500]	Loss: 0.2578	LR: 0.000800
Training Epoch: 38 [41472/47500]	Loss: 0.3681	LR: 0.000800
Training Epoch: 38 [41728/47500]	Loss: 0.2925	LR: 0.000800
Training Epoch: 38 [41984/47500]	Loss: 0.2866	LR: 0.000800
Training Epoch: 38 [42240/47500]	Loss: 0.3811	LR: 0.000800
Training Epoch: 38 [42496/47500]	Loss: 0.3036	LR: 0.000800
Training Epoch: 38 [42752/47500]	Loss: 0.2633	LR: 0.000800
Training Epoch: 38 [43008/47500]	Loss: 0.2763	LR: 0.000800
Training Epoch: 38 [43264/47500]	Loss: 0.2277	LR: 0.000800
Training Epoch: 38 [43520/47500]	Loss: 0.2876	LR: 0.000800
Training Epoch: 38 [43776/47500]	Loss: 0.2277	LR: 0.000800
Training Epoch: 38 [44032/47500]	Loss: 0.3096	LR: 0.000800
Training Epoch: 38 [44288/47500]	Loss: 0.2798	LR: 0.000800
Training Epoch: 38 [44544/47500]	Loss: 0.2658	LR: 0.000800
Training Epoch: 38 [44800/47500]	Loss: 0.2789	LR: 0.000800
Training Epoch: 38 [45056/47500]	Loss: 0.2954	LR: 0.000800
Training Epoch: 38 [45312/47500]	Loss: 0.3903	LR: 0.000800
Training Epoch: 38 [45568/47500]	Loss: 0.2789	LR: 0.000800
Training Epoch: 38 [45824/47500]	Loss: 0.3109	LR: 0.000800
Training Epoch: 38 [46080/47500]	Loss: 0.2152	LR: 0.000800
Training Epoch: 38 [46336/47500]	Loss: 0.3547	LR: 0.000800
Training Epoch: 38 [46592/47500]	Loss: 0.2761	LR: 0.000800
Training Epoch: 38 [46848/47500]	Loss: 0.3254	LR: 0.000800
Training Epoch: 38 [47104/47500]	Loss: 0.2535	LR: 0.000800
Training Epoch: 38 [47360/47500]	Loss: 0.2503	LR: 0.000800
Training Epoch: 38 [47500/47500]	Loss: 0.2528	LR: 0.000800
Epoch 38 - Average Train Loss: 0.2923, Train Accuracy: 0.9135
Epoch 38 training time consumed: 26.16s
Evaluating Network.....
Test set: Epoch: 38, Average loss: 0.0030, Accuracy: 0.7816, Time consumed:0.89s
Training Epoch: 39 [256/47500]	Loss: 0.2783	LR: 0.000800
Training Epoch: 39 [512/47500]	Loss: 0.2898	LR: 0.000800
Training Epoch: 39 [768/47500]	Loss: 0.2463	LR: 0.000800
Training Epoch: 39 [1024/47500]	Loss: 0.3057	LR: 0.000800
Training Epoch: 39 [1280/47500]	Loss: 0.2812	LR: 0.000800
Training Epoch: 39 [1536/47500]	Loss: 0.2490	LR: 0.000800
Training Epoch: 39 [1792/47500]	Loss: 0.2989	LR: 0.000800
Training Epoch: 39 [2048/47500]	Loss: 0.3212	LR: 0.000800
Training Epoch: 39 [2304/47500]	Loss: 0.2443	LR: 0.000800
Training Epoch: 39 [2560/47500]	Loss: 0.3245	LR: 0.000800
Training Epoch: 39 [2816/47500]	Loss: 0.2764	LR: 0.000800
Training Epoch: 39 [3072/47500]	Loss: 0.2995	LR: 0.000800
Training Epoch: 39 [3328/47500]	Loss: 0.3134	LR: 0.000800
Training Epoch: 39 [3584/47500]	Loss: 0.2750	LR: 0.000800
Training Epoch: 39 [3840/47500]	Loss: 0.3136	LR: 0.000800
Training Epoch: 39 [4096/47500]	Loss: 0.2973	LR: 0.000800
Training Epoch: 39 [4352/47500]	Loss: 0.2986	LR: 0.000800
Training Epoch: 39 [4608/47500]	Loss: 0.2791	LR: 0.000800
Training Epoch: 39 [4864/47500]	Loss: 0.3382	LR: 0.000800
Training Epoch: 39 [5120/47500]	Loss: 0.3071	LR: 0.000800
Training Epoch: 39 [5376/47500]	Loss: 0.2293	LR: 0.000800
Training Epoch: 39 [5632/47500]	Loss: 0.3108	LR: 0.000800
Training Epoch: 39 [5888/47500]	Loss: 0.2484	LR: 0.000800
Training Epoch: 39 [6144/47500]	Loss: 0.3338	LR: 0.000800
Training Epoch: 39 [6400/47500]	Loss: 0.2715	LR: 0.000800
Training Epoch: 39 [6656/47500]	Loss: 0.2615	LR: 0.000800
Training Epoch: 39 [6912/47500]	Loss: 0.2253	LR: 0.000800
Training Epoch: 39 [7168/47500]	Loss: 0.4417	LR: 0.000800
Training Epoch: 39 [7424/47500]	Loss: 0.2600	LR: 0.000800
Training Epoch: 39 [7680/47500]	Loss: 0.2487	LR: 0.000800
Training Epoch: 39 [7936/47500]	Loss: 0.2952	LR: 0.000800
Training Epoch: 39 [8192/47500]	Loss: 0.2517	LR: 0.000800
Training Epoch: 39 [8448/47500]	Loss: 0.2858	LR: 0.000800
Training Epoch: 39 [8704/47500]	Loss: 0.2946	LR: 0.000800
Training Epoch: 39 [8960/47500]	Loss: 0.3602	LR: 0.000800
Training Epoch: 39 [9216/47500]	Loss: 0.3698	LR: 0.000800
Training Epoch: 39 [9472/47500]	Loss: 0.3267	LR: 0.000800
Training Epoch: 39 [9728/47500]	Loss: 0.2668	LR: 0.000800
Training Epoch: 39 [9984/47500]	Loss: 0.2601	LR: 0.000800
Training Epoch: 39 [10240/47500]	Loss: 0.2699	LR: 0.000800
Training Epoch: 39 [10496/47500]	Loss: 0.3040	LR: 0.000800
Training Epoch: 39 [10752/47500]	Loss: 0.2418	LR: 0.000800
Training Epoch: 39 [11008/47500]	Loss: 0.2461	LR: 0.000800
Training Epoch: 39 [11264/47500]	Loss: 0.3182	LR: 0.000800
Training Epoch: 39 [11520/47500]	Loss: 0.2347	LR: 0.000800
Training Epoch: 39 [11776/47500]	Loss: 0.2498	LR: 0.000800
Training Epoch: 39 [12032/47500]	Loss: 0.2854	LR: 0.000800
Training Epoch: 39 [12288/47500]	Loss: 0.3346	LR: 0.000800
Training Epoch: 39 [12544/47500]	Loss: 0.3155	LR: 0.000800
Training Epoch: 39 [12800/47500]	Loss: 0.2366	LR: 0.000800
Training Epoch: 39 [13056/47500]	Loss: 0.3459	LR: 0.000800
Training Epoch: 39 [13312/47500]	Loss: 0.2774	LR: 0.000800
Training Epoch: 39 [13568/47500]	Loss: 0.2596	LR: 0.000800
Training Epoch: 39 [13824/47500]	Loss: 0.3056	LR: 0.000800
Training Epoch: 39 [14080/47500]	Loss: 0.2582	LR: 0.000800
Training Epoch: 39 [14336/47500]	Loss: 0.3129	LR: 0.000800
Training Epoch: 39 [14592/47500]	Loss: 0.2945	LR: 0.000800
Training Epoch: 39 [14848/47500]	Loss: 0.2885	LR: 0.000800
Training Epoch: 39 [15104/47500]	Loss: 0.3110	LR: 0.000800
Training Epoch: 39 [15360/47500]	Loss: 0.3933	LR: 0.000800
Training Epoch: 39 [15616/47500]	Loss: 0.2103	LR: 0.000800
Training Epoch: 39 [15872/47500]	Loss: 0.2548	LR: 0.000800
Training Epoch: 39 [16128/47500]	Loss: 0.3285	LR: 0.000800
Training Epoch: 39 [16384/47500]	Loss: 0.2220	LR: 0.000800
Training Epoch: 39 [16640/47500]	Loss: 0.3258	LR: 0.000800
Training Epoch: 39 [16896/47500]	Loss: 0.2600	LR: 0.000800
Training Epoch: 39 [17152/47500]	Loss: 0.2831	LR: 0.000800
Training Epoch: 39 [17408/47500]	Loss: 0.2217	LR: 0.000800
Training Epoch: 39 [17664/47500]	Loss: 0.2554	LR: 0.000800
Training Epoch: 39 [17920/47500]	Loss: 0.3043	LR: 0.000800
Training Epoch: 39 [18176/47500]	Loss: 0.3491	LR: 0.000800
Training Epoch: 39 [18432/47500]	Loss: 0.2502	LR: 0.000800
Training Epoch: 39 [18688/47500]	Loss: 0.2848	LR: 0.000800
Training Epoch: 39 [18944/47500]	Loss: 0.2779	LR: 0.000800
Training Epoch: 39 [19200/47500]	Loss: 0.3012	LR: 0.000800
Training Epoch: 39 [19456/47500]	Loss: 0.3266	LR: 0.000800
Training Epoch: 39 [19712/47500]	Loss: 0.2904	LR: 0.000800
Training Epoch: 39 [19968/47500]	Loss: 0.3107	LR: 0.000800
Training Epoch: 39 [20224/47500]	Loss: 0.3492	LR: 0.000800
Training Epoch: 39 [20480/47500]	Loss: 0.2329	LR: 0.000800
Training Epoch: 39 [20736/47500]	Loss: 0.3276	LR: 0.000800
Training Epoch: 39 [20992/47500]	Loss: 0.2361	LR: 0.000800
Training Epoch: 39 [21248/47500]	Loss: 0.2699	LR: 0.000800
Training Epoch: 39 [21504/47500]	Loss: 0.2351	LR: 0.000800
Training Epoch: 39 [21760/47500]	Loss: 0.2937	LR: 0.000800
Training Epoch: 39 [22016/47500]	Loss: 0.2592	LR: 0.000800
Training Epoch: 39 [22272/47500]	Loss: 0.2882	LR: 0.000800
Training Epoch: 39 [22528/47500]	Loss: 0.2944	LR: 0.000800
Training Epoch: 39 [22784/47500]	Loss: 0.2764	LR: 0.000800
Training Epoch: 39 [23040/47500]	Loss: 0.3243	LR: 0.000800
Training Epoch: 39 [23296/47500]	Loss: 0.3693	LR: 0.000800
Training Epoch: 39 [23552/47500]	Loss: 0.2480	LR: 0.000800
Training Epoch: 39 [23808/47500]	Loss: 0.2706	LR: 0.000800
Training Epoch: 39 [24064/47500]	Loss: 0.3209	LR: 0.000800
Training Epoch: 39 [24320/47500]	Loss: 0.3349	LR: 0.000800
Training Epoch: 39 [24576/47500]	Loss: 0.3167	LR: 0.000800
Training Epoch: 39 [24832/47500]	Loss: 0.2937	LR: 0.000800
Training Epoch: 39 [25088/47500]	Loss: 0.2734	LR: 0.000800
Training Epoch: 39 [25344/47500]	Loss: 0.2668	LR: 0.000800
Training Epoch: 39 [25600/47500]	Loss: 0.2853	LR: 0.000800
Training Epoch: 39 [25856/47500]	Loss: 0.3136	LR: 0.000800
Training Epoch: 39 [26112/47500]	Loss: 0.3452	LR: 0.000800
Training Epoch: 39 [26368/47500]	Loss: 0.2744	LR: 0.000800
Training Epoch: 39 [26624/47500]	Loss: 0.3001	LR: 0.000800
Training Epoch: 39 [26880/47500]	Loss: 0.3388	LR: 0.000800
Training Epoch: 39 [27136/47500]	Loss: 0.3344	LR: 0.000800
Training Epoch: 39 [27392/47500]	Loss: 0.2690	LR: 0.000800
Training Epoch: 39 [27648/47500]	Loss: 0.3036	LR: 0.000800
Training Epoch: 39 [27904/47500]	Loss: 0.3733	LR: 0.000800
Training Epoch: 39 [28160/47500]	Loss: 0.2611	LR: 0.000800
Training Epoch: 39 [28416/47500]	Loss: 0.2929	LR: 0.000800
Training Epoch: 39 [28672/47500]	Loss: 0.2957	LR: 0.000800
Training Epoch: 39 [28928/47500]	Loss: 0.3160	LR: 0.000800
Training Epoch: 39 [29184/47500]	Loss: 0.3159	LR: 0.000800
Training Epoch: 39 [29440/47500]	Loss: 0.3489	LR: 0.000800
Training Epoch: 39 [29696/47500]	Loss: 0.2617	LR: 0.000800
Training Epoch: 39 [29952/47500]	Loss: 0.2778	LR: 0.000800
Training Epoch: 39 [30208/47500]	Loss: 0.2759	LR: 0.000800
Training Epoch: 39 [30464/47500]	Loss: 0.2825	LR: 0.000800
Training Epoch: 39 [30720/47500]	Loss: 0.3010	LR: 0.000800
Training Epoch: 39 [30976/47500]	Loss: 0.3686	LR: 0.000800
Training Epoch: 39 [31232/47500]	Loss: 0.3468	LR: 0.000800
Training Epoch: 39 [31488/47500]	Loss: 0.2630	LR: 0.000800
Training Epoch: 39 [31744/47500]	Loss: 0.2944	LR: 0.000800
Training Epoch: 39 [32000/47500]	Loss: 0.2309	LR: 0.000800
Training Epoch: 39 [32256/47500]	Loss: 0.3122	LR: 0.000800
Training Epoch: 39 [32512/47500]	Loss: 0.2844	LR: 0.000800
Training Epoch: 39 [32768/47500]	Loss: 0.3642	LR: 0.000800
Training Epoch: 39 [33024/47500]	Loss: 0.3725	LR: 0.000800
Training Epoch: 39 [33280/47500]	Loss: 0.3454	LR: 0.000800
Training Epoch: 39 [33536/47500]	Loss: 0.3235	LR: 0.000800
Training Epoch: 39 [33792/47500]	Loss: 0.2350	LR: 0.000800
Training Epoch: 39 [34048/47500]	Loss: 0.2926	LR: 0.000800
Training Epoch: 39 [34304/47500]	Loss: 0.3503	LR: 0.000800
Training Epoch: 39 [34560/47500]	Loss: 0.2852	LR: 0.000800
Training Epoch: 39 [34816/47500]	Loss: 0.2713	LR: 0.000800
Training Epoch: 39 [35072/47500]	Loss: 0.2481	LR: 0.000800
Training Epoch: 39 [35328/47500]	Loss: 0.2994	LR: 0.000800
Training Epoch: 39 [35584/47500]	Loss: 0.3110	LR: 0.000800
Training Epoch: 39 [35840/47500]	Loss: 0.2915	LR: 0.000800
Training Epoch: 39 [36096/47500]	Loss: 0.3159	LR: 0.000800
Training Epoch: 39 [36352/47500]	Loss: 0.2612	LR: 0.000800
Training Epoch: 39 [36608/47500]	Loss: 0.3131	LR: 0.000800
Training Epoch: 39 [36864/47500]	Loss: 0.3152	LR: 0.000800
Training Epoch: 39 [37120/47500]	Loss: 0.3368	LR: 0.000800
Training Epoch: 39 [37376/47500]	Loss: 0.3520	LR: 0.000800
Training Epoch: 39 [37632/47500]	Loss: 0.2941	LR: 0.000800
Training Epoch: 39 [37888/47500]	Loss: 0.3044	LR: 0.000800
Training Epoch: 39 [38144/47500]	Loss: 0.2918	LR: 0.000800
Training Epoch: 39 [38400/47500]	Loss: 0.3228	LR: 0.000800
Training Epoch: 39 [38656/47500]	Loss: 0.2665	LR: 0.000800
Training Epoch: 39 [38912/47500]	Loss: 0.2774	LR: 0.000800
Training Epoch: 39 [39168/47500]	Loss: 0.3196	LR: 0.000800
Training Epoch: 39 [39424/47500]	Loss: 0.2454	LR: 0.000800
Training Epoch: 39 [39680/47500]	Loss: 0.2952	LR: 0.000800
Training Epoch: 39 [39936/47500]	Loss: 0.2253	LR: 0.000800
Training Epoch: 39 [40192/47500]	Loss: 0.3294	LR: 0.000800
Training Epoch: 39 [40448/47500]	Loss: 0.2560	LR: 0.000800
Training Epoch: 39 [40704/47500]	Loss: 0.2608	LR: 0.000800
Training Epoch: 39 [40960/47500]	Loss: 0.2345	LR: 0.000800
Training Epoch: 39 [41216/47500]	Loss: 0.3108	LR: 0.000800
Training Epoch: 39 [41472/47500]	Loss: 0.3017	LR: 0.000800
Training Epoch: 39 [41728/47500]	Loss: 0.2814	LR: 0.000800
Training Epoch: 39 [41984/47500]	Loss: 0.2723	LR: 0.000800
Training Epoch: 39 [42240/47500]	Loss: 0.3070	LR: 0.000800
Training Epoch: 39 [42496/47500]	Loss: 0.2685	LR: 0.000800
Training Epoch: 39 [42752/47500]	Loss: 0.2681	LR: 0.000800
Training Epoch: 39 [43008/47500]	Loss: 0.2935	LR: 0.000800
Training Epoch: 39 [43264/47500]	Loss: 0.2787	LR: 0.000800
Training Epoch: 39 [43520/47500]	Loss: 0.3379	LR: 0.000800
Training Epoch: 39 [43776/47500]	Loss: 0.2312	LR: 0.000800
Training Epoch: 39 [44032/47500]	Loss: 0.3015	LR: 0.000800
Training Epoch: 39 [44288/47500]	Loss: 0.2654	LR: 0.000800
Training Epoch: 39 [44544/47500]	Loss: 0.2935	LR: 0.000800
Training Epoch: 39 [44800/47500]	Loss: 0.2164	LR: 0.000800
Training Epoch: 39 [45056/47500]	Loss: 0.2718	LR: 0.000800
Training Epoch: 39 [45312/47500]	Loss: 0.3252	LR: 0.000800
Training Epoch: 39 [45568/47500]	Loss: 0.3293	LR: 0.000800
Training Epoch: 39 [45824/47500]	Loss: 0.3442	LR: 0.000800
Training Epoch: 39 [46080/47500]	Loss: 0.2645	LR: 0.000800
Training Epoch: 39 [46336/47500]	Loss: 0.3157	LR: 0.000800
Training Epoch: 39 [46592/47500]	Loss: 0.3382	LR: 0.000800
Training Epoch: 39 [46848/47500]	Loss: 0.2941	LR: 0.000800
Training Epoch: 39 [47104/47500]	Loss: 0.2873	LR: 0.000800
Training Epoch: 39 [47360/47500]	Loss: 0.2792	LR: 0.000800
Training Epoch: 39 [47500/47500]	Loss: 0.2644	LR: 0.000800
Epoch 39 - Average Train Loss: 0.2926, Train Accuracy: 0.9128
Epoch 39 training time consumed: 26.19s
Evaluating Network.....
Test set: Epoch: 39, Average loss: 0.0030, Accuracy: 0.7826, Time consumed:0.89s
Training Epoch: 40 [256/47500]	Loss: 0.3340	LR: 0.000800
Training Epoch: 40 [512/47500]	Loss: 0.2975	LR: 0.000800
Training Epoch: 40 [768/47500]	Loss: 0.2894	LR: 0.000800
Training Epoch: 40 [1024/47500]	Loss: 0.2563	LR: 0.000800
Training Epoch: 40 [1280/47500]	Loss: 0.3150	LR: 0.000800
Training Epoch: 40 [1536/47500]	Loss: 0.2672	LR: 0.000800
Training Epoch: 40 [1792/47500]	Loss: 0.3324	LR: 0.000800
Training Epoch: 40 [2048/47500]	Loss: 0.3009	LR: 0.000800
Training Epoch: 40 [2304/47500]	Loss: 0.3316	LR: 0.000800
Training Epoch: 40 [2560/47500]	Loss: 0.3353	LR: 0.000800
Training Epoch: 40 [2816/47500]	Loss: 0.2806	LR: 0.000800
Training Epoch: 40 [3072/47500]	Loss: 0.3252	LR: 0.000800
Training Epoch: 40 [3328/47500]	Loss: 0.3071	LR: 0.000800
Training Epoch: 40 [3584/47500]	Loss: 0.3027	LR: 0.000800
Training Epoch: 40 [3840/47500]	Loss: 0.2827	LR: 0.000800
Training Epoch: 40 [4096/47500]	Loss: 0.3513	LR: 0.000800
Training Epoch: 40 [4352/47500]	Loss: 0.3607	LR: 0.000800
Training Epoch: 40 [4608/47500]	Loss: 0.2887	LR: 0.000800
Training Epoch: 40 [4864/47500]	Loss: 0.3191	LR: 0.000800
Training Epoch: 40 [5120/47500]	Loss: 0.2898	LR: 0.000800
Training Epoch: 40 [5376/47500]	Loss: 0.3340	LR: 0.000800
Training Epoch: 40 [5632/47500]	Loss: 0.2510	LR: 0.000800
Training Epoch: 40 [5888/47500]	Loss: 0.2464	LR: 0.000800
Training Epoch: 40 [6144/47500]	Loss: 0.2764	LR: 0.000800
Training Epoch: 40 [6400/47500]	Loss: 0.2696	LR: 0.000800
Training Epoch: 40 [6656/47500]	Loss: 0.3116	LR: 0.000800
Training Epoch: 40 [6912/47500]	Loss: 0.3497	LR: 0.000800
Training Epoch: 40 [7168/47500]	Loss: 0.2442	LR: 0.000800
Training Epoch: 40 [7424/47500]	Loss: 0.2643	LR: 0.000800
Training Epoch: 40 [7680/47500]	Loss: 0.3118	LR: 0.000800
Training Epoch: 40 [7936/47500]	Loss: 0.2989	LR: 0.000800
Training Epoch: 40 [8192/47500]	Loss: 0.3004	LR: 0.000800
Training Epoch: 40 [8448/47500]	Loss: 0.2673	LR: 0.000800
Training Epoch: 40 [8704/47500]	Loss: 0.3186	LR: 0.000800
Training Epoch: 40 [8960/47500]	Loss: 0.2867	LR: 0.000800
Training Epoch: 40 [9216/47500]	Loss: 0.2915	LR: 0.000800
Training Epoch: 40 [9472/47500]	Loss: 0.3385	LR: 0.000800
Training Epoch: 40 [9728/47500]	Loss: 0.2741	LR: 0.000800
Training Epoch: 40 [9984/47500]	Loss: 0.2786	LR: 0.000800
Training Epoch: 40 [10240/47500]	Loss: 0.3018	LR: 0.000800
Training Epoch: 40 [10496/47500]	Loss: 0.2139	LR: 0.000800
Training Epoch: 40 [10752/47500]	Loss: 0.2457	LR: 0.000800
Training Epoch: 40 [11008/47500]	Loss: 0.3010	LR: 0.000800
Training Epoch: 40 [11264/47500]	Loss: 0.3131	LR: 0.000800
Training Epoch: 40 [11520/47500]	Loss: 0.2763	LR: 0.000800
Training Epoch: 40 [11776/47500]	Loss: 0.3584	LR: 0.000800
Training Epoch: 40 [12032/47500]	Loss: 0.2989	LR: 0.000800
Training Epoch: 40 [12288/47500]	Loss: 0.3364	LR: 0.000800
Training Epoch: 40 [12544/47500]	Loss: 0.2674	LR: 0.000800
Training Epoch: 40 [12800/47500]	Loss: 0.2643	LR: 0.000800
Training Epoch: 40 [13056/47500]	Loss: 0.2431	LR: 0.000800
Training Epoch: 40 [13312/47500]	Loss: 0.2975	LR: 0.000800
Training Epoch: 40 [13568/47500]	Loss: 0.3000	LR: 0.000800
Training Epoch: 40 [13824/47500]	Loss: 0.3239	LR: 0.000800
Training Epoch: 40 [14080/47500]	Loss: 0.2133	LR: 0.000800
Training Epoch: 40 [14336/47500]	Loss: 0.2946	LR: 0.000800
Training Epoch: 40 [14592/47500]	Loss: 0.2544	LR: 0.000800
Training Epoch: 40 [14848/47500]	Loss: 0.3154	LR: 0.000800
Training Epoch: 40 [15104/47500]	Loss: 0.3232	LR: 0.000800
Training Epoch: 40 [15360/47500]	Loss: 0.2398	LR: 0.000800
Training Epoch: 40 [15616/47500]	Loss: 0.3399	LR: 0.000800
Training Epoch: 40 [15872/47500]	Loss: 0.2768	LR: 0.000800
Training Epoch: 40 [16128/47500]	Loss: 0.3169	LR: 0.000800
Training Epoch: 40 [16384/47500]	Loss: 0.3352	LR: 0.000800
Training Epoch: 40 [16640/47500]	Loss: 0.2782	LR: 0.000800
Training Epoch: 40 [16896/47500]	Loss: 0.2833	LR: 0.000800
Training Epoch: 40 [17152/47500]	Loss: 0.2310	LR: 0.000800
Training Epoch: 40 [17408/47500]	Loss: 0.2832	LR: 0.000800
Training Epoch: 40 [17664/47500]	Loss: 0.2793	LR: 0.000800
Training Epoch: 40 [17920/47500]	Loss: 0.2571	LR: 0.000800
Training Epoch: 40 [18176/47500]	Loss: 0.3607	LR: 0.000800
Training Epoch: 40 [18432/47500]	Loss: 0.3141	LR: 0.000800
Training Epoch: 40 [18688/47500]	Loss: 0.2841	LR: 0.000800
Training Epoch: 40 [18944/47500]	Loss: 0.2808	LR: 0.000800
Training Epoch: 40 [19200/47500]	Loss: 0.3273	LR: 0.000800
Training Epoch: 40 [19456/47500]	Loss: 0.2445	LR: 0.000800
Training Epoch: 40 [19712/47500]	Loss: 0.2992	LR: 0.000800
Training Epoch: 40 [19968/47500]	Loss: 0.3389	LR: 0.000800
Training Epoch: 40 [20224/47500]	Loss: 0.3078	LR: 0.000800
Training Epoch: 40 [20480/47500]	Loss: 0.3074	LR: 0.000800
Training Epoch: 40 [20736/47500]	Loss: 0.3576	LR: 0.000800
Training Epoch: 40 [20992/47500]	Loss: 0.2502	LR: 0.000800
Training Epoch: 40 [21248/47500]	Loss: 0.2784	LR: 0.000800
Training Epoch: 40 [21504/47500]	Loss: 0.2302	LR: 0.000800
Training Epoch: 40 [21760/47500]	Loss: 0.2400	LR: 0.000800
Training Epoch: 40 [22016/47500]	Loss: 0.3097	LR: 0.000800
Training Epoch: 40 [22272/47500]	Loss: 0.2571	LR: 0.000800
Training Epoch: 40 [22528/47500]	Loss: 0.3158	LR: 0.000800
Training Epoch: 40 [22784/47500]	Loss: 0.2378	LR: 0.000800
Training Epoch: 40 [23040/47500]	Loss: 0.3086	LR: 0.000800
Training Epoch: 40 [23296/47500]	Loss: 0.2799	LR: 0.000800
Training Epoch: 40 [23552/47500]	Loss: 0.2747	LR: 0.000800
Training Epoch: 40 [23808/47500]	Loss: 0.2706	LR: 0.000800
Training Epoch: 40 [24064/47500]	Loss: 0.2999	LR: 0.000800
Training Epoch: 40 [24320/47500]	Loss: 0.2715	LR: 0.000800
Training Epoch: 40 [24576/47500]	Loss: 0.2148	LR: 0.000800
Training Epoch: 40 [24832/47500]	Loss: 0.2598	LR: 0.000800
Training Epoch: 40 [25088/47500]	Loss: 0.3590	LR: 0.000800
Training Epoch: 40 [25344/47500]	Loss: 0.2966	LR: 0.000800
Training Epoch: 40 [25600/47500]	Loss: 0.2192	LR: 0.000800
Training Epoch: 40 [25856/47500]	Loss: 0.2860	LR: 0.000800
Training Epoch: 40 [26112/47500]	Loss: 0.3221	LR: 0.000800
Training Epoch: 40 [26368/47500]	Loss: 0.3102	LR: 0.000800
Training Epoch: 40 [26624/47500]	Loss: 0.2482	LR: 0.000800
Training Epoch: 40 [26880/47500]	Loss: 0.3437	LR: 0.000800
Training Epoch: 40 [27136/47500]	Loss: 0.3084	LR: 0.000800
Training Epoch: 40 [27392/47500]	Loss: 0.2959	LR: 0.000800
Training Epoch: 40 [27648/47500]	Loss: 0.2542	LR: 0.000800
Training Epoch: 40 [27904/47500]	Loss: 0.3180	LR: 0.000800
Training Epoch: 40 [28160/47500]	Loss: 0.2692	LR: 0.000800
Training Epoch: 40 [28416/47500]	Loss: 0.2292	LR: 0.000800
Training Epoch: 40 [28672/47500]	Loss: 0.2318	LR: 0.000800
Training Epoch: 40 [28928/47500]	Loss: 0.2984	LR: 0.000800
Training Epoch: 40 [29184/47500]	Loss: 0.2780	LR: 0.000800
Training Epoch: 40 [29440/47500]	Loss: 0.2752	LR: 0.000800
Training Epoch: 40 [29696/47500]	Loss: 0.2952	LR: 0.000800
Training Epoch: 40 [29952/47500]	Loss: 0.2899	LR: 0.000800
Training Epoch: 40 [30208/47500]	Loss: 0.2216	LR: 0.000800
Training Epoch: 40 [30464/47500]	Loss: 0.2701	LR: 0.000800
Training Epoch: 40 [30720/47500]	Loss: 0.2430	LR: 0.000800
Training Epoch: 40 [30976/47500]	Loss: 0.3137	LR: 0.000800
Training Epoch: 40 [31232/47500]	Loss: 0.3157	LR: 0.000800
Training Epoch: 40 [31488/47500]	Loss: 0.3167	LR: 0.000800
Training Epoch: 40 [31744/47500]	Loss: 0.3512	LR: 0.000800
Training Epoch: 40 [32000/47500]	Loss: 0.2784	LR: 0.000800
Training Epoch: 40 [32256/47500]	Loss: 0.2625	LR: 0.000800
Training Epoch: 40 [32512/47500]	Loss: 0.2984	LR: 0.000800
Training Epoch: 40 [32768/47500]	Loss: 0.2328	LR: 0.000800
Training Epoch: 40 [33024/47500]	Loss: 0.3157	LR: 0.000800
Training Epoch: 40 [33280/47500]	Loss: 0.2490	LR: 0.000800
Training Epoch: 40 [33536/47500]	Loss: 0.3023	LR: 0.000800
Training Epoch: 40 [33792/47500]	Loss: 0.3266	LR: 0.000800
Training Epoch: 40 [34048/47500]	Loss: 0.2910	LR: 0.000800
Training Epoch: 40 [34304/47500]	Loss: 0.2756	LR: 0.000800
Training Epoch: 40 [34560/47500]	Loss: 0.3101	LR: 0.000800
Training Epoch: 40 [34816/47500]	Loss: 0.2661	LR: 0.000800
Training Epoch: 40 [35072/47500]	Loss: 0.2718	LR: 0.000800
Training Epoch: 40 [35328/47500]	Loss: 0.2688	LR: 0.000800
Training Epoch: 40 [35584/47500]	Loss: 0.2858	LR: 0.000800
Training Epoch: 40 [35840/47500]	Loss: 0.3298	LR: 0.000800
Training Epoch: 40 [36096/47500]	Loss: 0.3534	LR: 0.000800
Training Epoch: 40 [36352/47500]	Loss: 0.2858	LR: 0.000800
Training Epoch: 40 [36608/47500]	Loss: 0.3478	LR: 0.000800
Training Epoch: 40 [36864/47500]	Loss: 0.3629	LR: 0.000800
Training Epoch: 40 [37120/47500]	Loss: 0.2787	LR: 0.000800
Training Epoch: 40 [37376/47500]	Loss: 0.3146	LR: 0.000800
Training Epoch: 40 [37632/47500]	Loss: 0.3025	LR: 0.000800
Training Epoch: 40 [37888/47500]	Loss: 0.2857	LR: 0.000800
Training Epoch: 40 [38144/47500]	Loss: 0.2289	LR: 0.000800
Training Epoch: 40 [38400/47500]	Loss: 0.3358	LR: 0.000800
Training Epoch: 40 [38656/47500]	Loss: 0.2131	LR: 0.000800
Training Epoch: 40 [38912/47500]	Loss: 0.2377	LR: 0.000800
Training Epoch: 40 [39168/47500]	Loss: 0.2463	LR: 0.000800
Training Epoch: 40 [39424/47500]	Loss: 0.3636	LR: 0.000800
Training Epoch: 40 [39680/47500]	Loss: 0.2771	LR: 0.000800
Training Epoch: 40 [39936/47500]	Loss: 0.2437	LR: 0.000800
Training Epoch: 40 [40192/47500]	Loss: 0.2291	LR: 0.000800
Training Epoch: 40 [40448/47500]	Loss: 0.2215	LR: 0.000800
Training Epoch: 40 [40704/47500]	Loss: 0.3183	LR: 0.000800
Training Epoch: 40 [40960/47500]	Loss: 0.2717	LR: 0.000800
Training Epoch: 40 [41216/47500]	Loss: 0.2724	LR: 0.000800
Training Epoch: 40 [41472/47500]	Loss: 0.3773	LR: 0.000800
Training Epoch: 40 [41728/47500]	Loss: 0.2956	LR: 0.000800
Training Epoch: 40 [41984/47500]	Loss: 0.3032	LR: 0.000800
Training Epoch: 40 [42240/47500]	Loss: 0.2679	LR: 0.000800
Training Epoch: 40 [42496/47500]	Loss: 0.3113	LR: 0.000800
Training Epoch: 40 [42752/47500]	Loss: 0.3383	LR: 0.000800
Training Epoch: 40 [43008/47500]	Loss: 0.2866	LR: 0.000800
Training Epoch: 40 [43264/47500]	Loss: 0.3264	LR: 0.000800
Training Epoch: 40 [43520/47500]	Loss: 0.2534	LR: 0.000800
Training Epoch: 40 [43776/47500]	Loss: 0.2036	LR: 0.000800
Training Epoch: 40 [44032/47500]	Loss: 0.2734	LR: 0.000800
Training Epoch: 40 [44288/47500]	Loss: 0.3526	LR: 0.000800
Training Epoch: 40 [44544/47500]	Loss: 0.3196	LR: 0.000800
Training Epoch: 40 [44800/47500]	Loss: 0.2339	LR: 0.000800
Training Epoch: 40 [45056/47500]	Loss: 0.3048	LR: 0.000800
Training Epoch: 40 [45312/47500]	Loss: 0.3405	LR: 0.000800
Training Epoch: 40 [45568/47500]	Loss: 0.2780	LR: 0.000800
Training Epoch: 40 [45824/47500]	Loss: 0.3370	LR: 0.000800
Training Epoch: 40 [46080/47500]	Loss: 0.3692	LR: 0.000800
Training Epoch: 40 [46336/47500]	Loss: 0.3098	LR: 0.000800
Training Epoch: 40 [46592/47500]	Loss: 0.3140	LR: 0.000800
Training Epoch: 40 [46848/47500]	Loss: 0.2255	LR: 0.000800
Training Epoch: 40 [47104/47500]	Loss: 0.2405	LR: 0.000800
Training Epoch: 40 [47360/47500]	Loss: 0.3401	LR: 0.000800
Training Epoch: 40 [47500/47500]	Loss: 0.4113	LR: 0.000800
Epoch 40 - Average Train Loss: 0.2911, Train Accuracy: 0.9140
Epoch 40 training time consumed: 26.15s
Evaluating Network.....
Test set: Epoch: 40, Average loss: 0.0030, Accuracy: 0.7831, Time consumed:0.90s
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  47500
Forget Train Dl:  2500
Retain Valid Dl:  47500
Forget Valid Dl:  2500
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 2500 samples
Set1 Distribution: 2500 samples
Set2 Distribution: 2500 samples
Set1 Distribution: 2500 samples
Set2 Distribution: 2500 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 78.232421875
Retain Accuracy: 92.26213836669922
Zero-Retain Forget (ZRF): 0.9139260053634644
Membership Inference Attack (MIA): 0.4988
Forget vs Retain Membership Inference Attack (MIA): 0.54
Forget vs Test Membership Inference Attack (MIA): 0.541
Test vs Retain Membership Inference Attack (MIA): 0.488
Train vs Test Membership Inference Attack (MIA): 0.5655
Forget Set Accuracy (Df): 77.06393432617188
Method Execution Time: 1577.41 seconds
