
📌 S Retain class distribution for seed 9:
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 9:
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: 3.0389	LR: 0.000000
Training Epoch: 1 [512/47500]	Loss: 3.0300	LR: 0.000538
Training Epoch: 1 [768/47500]	Loss: 3.0187	LR: 0.001075
Training Epoch: 1 [1024/47500]	Loss: 3.0434	LR: 0.001613
Training Epoch: 1 [1280/47500]	Loss: 3.0105	LR: 0.002151
Training Epoch: 1 [1536/47500]	Loss: 3.0173	LR: 0.002688
Training Epoch: 1 [1792/47500]	Loss: 2.9979	LR: 0.003226
Training Epoch: 1 [2048/47500]	Loss: 3.0063	LR: 0.003763
Training Epoch: 1 [2304/47500]	Loss: 2.9582	LR: 0.004301
Training Epoch: 1 [2560/47500]	Loss: 2.9606	LR: 0.004839
Training Epoch: 1 [2816/47500]	Loss: 2.9412	LR: 0.005376
Training Epoch: 1 [3072/47500]	Loss: 2.8893	LR: 0.005914
Training Epoch: 1 [3328/47500]	Loss: 2.9114	LR: 0.006452
Training Epoch: 1 [3584/47500]	Loss: 2.8566	LR: 0.006989
Training Epoch: 1 [3840/47500]	Loss: 2.8565	LR: 0.007527
Training Epoch: 1 [4096/47500]	Loss: 2.8651	LR: 0.008065
Training Epoch: 1 [4352/47500]	Loss: 2.8386	LR: 0.008602
Training Epoch: 1 [4608/47500]	Loss: 2.8911	LR: 0.009140
Training Epoch: 1 [4864/47500]	Loss: 2.8079	LR: 0.009677
Training Epoch: 1 [5120/47500]	Loss: 2.8357	LR: 0.010215
Training Epoch: 1 [5376/47500]	Loss: 2.8272	LR: 0.010753
Training Epoch: 1 [5632/47500]	Loss: 2.7977	LR: 0.011290
Training Epoch: 1 [5888/47500]	Loss: 2.7723	LR: 0.011828
Training Epoch: 1 [6144/47500]	Loss: 2.7734	LR: 0.012366
Training Epoch: 1 [6400/47500]	Loss: 2.8138	LR: 0.012903
Training Epoch: 1 [6656/47500]	Loss: 2.7873	LR: 0.013441
Training Epoch: 1 [6912/47500]	Loss: 2.7271	LR: 0.013978
Training Epoch: 1 [7168/47500]	Loss: 2.7249	LR: 0.014516
Training Epoch: 1 [7424/47500]	Loss: 2.7388	LR: 0.015054
Training Epoch: 1 [7680/47500]	Loss: 2.6746	LR: 0.015591
Training Epoch: 1 [7936/47500]	Loss: 2.7673	LR: 0.016129
Training Epoch: 1 [8192/47500]	Loss: 2.5931	LR: 0.016667
Training Epoch: 1 [8448/47500]	Loss: 2.6456	LR: 0.017204
Training Epoch: 1 [8704/47500]	Loss: 2.6556	LR: 0.017742
Training Epoch: 1 [8960/47500]	Loss: 2.6728	LR: 0.018280
Training Epoch: 1 [9216/47500]	Loss: 2.6759	LR: 0.018817
Training Epoch: 1 [9472/47500]	Loss: 2.7377	LR: 0.019355
Training Epoch: 1 [9728/47500]	Loss: 2.6405	LR: 0.019892
Training Epoch: 1 [9984/47500]	Loss: 2.6653	LR: 0.020430
Training Epoch: 1 [10240/47500]	Loss: 2.5260	LR: 0.020968
Training Epoch: 1 [10496/47500]	Loss: 2.6181	LR: 0.021505
Training Epoch: 1 [10752/47500]	Loss: 2.6662	LR: 0.022043
Training Epoch: 1 [11008/47500]	Loss: 2.6058	LR: 0.022581
Training Epoch: 1 [11264/47500]	Loss: 2.6630	LR: 0.023118
Training Epoch: 1 [11520/47500]	Loss: 2.5785	LR: 0.023656
Training Epoch: 1 [11776/47500]	Loss: 2.5552	LR: 0.024194
Training Epoch: 1 [12032/47500]	Loss: 2.5723	LR: 0.024731
Training Epoch: 1 [12288/47500]	Loss: 2.5517	LR: 0.025269
Training Epoch: 1 [12544/47500]	Loss: 2.6671	LR: 0.025806
Training Epoch: 1 [12800/47500]	Loss: 2.5352	LR: 0.026344
Training Epoch: 1 [13056/47500]	Loss: 2.5616	LR: 0.026882
Training Epoch: 1 [13312/47500]	Loss: 2.5757	LR: 0.027419
Training Epoch: 1 [13568/47500]	Loss: 2.5300	LR: 0.027957
Training Epoch: 1 [13824/47500]	Loss: 2.4559	LR: 0.028495
Training Epoch: 1 [14080/47500]	Loss: 2.5117	LR: 0.029032
Training Epoch: 1 [14336/47500]	Loss: 2.6170	LR: 0.029570
Training Epoch: 1 [14592/47500]	Loss: 2.4748	LR: 0.030108
Training Epoch: 1 [14848/47500]	Loss: 2.5003	LR: 0.030645
Training Epoch: 1 [15104/47500]	Loss: 2.5169	LR: 0.031183
Training Epoch: 1 [15360/47500]	Loss: 2.5991	LR: 0.031720
Training Epoch: 1 [15616/47500]	Loss: 2.5022	LR: 0.032258
Training Epoch: 1 [15872/47500]	Loss: 2.5224	LR: 0.032796
Training Epoch: 1 [16128/47500]	Loss: 2.5581	LR: 0.033333
Training Epoch: 1 [16384/47500]	Loss: 2.5652	LR: 0.033871
Training Epoch: 1 [16640/47500]	Loss: 2.6203	LR: 0.034409
Training Epoch: 1 [16896/47500]	Loss: 2.5110	LR: 0.034946
Training Epoch: 1 [17152/47500]	Loss: 2.5586	LR: 0.035484
Training Epoch: 1 [17408/47500]	Loss: 2.6270	LR: 0.036022
Training Epoch: 1 [17664/47500]	Loss: 2.4704	LR: 0.036559
Training Epoch: 1 [17920/47500]	Loss: 2.3981	LR: 0.037097
Training Epoch: 1 [18176/47500]	Loss: 2.3940	LR: 0.037634
Training Epoch: 1 [18432/47500]	Loss: 2.4980	LR: 0.038172
Training Epoch: 1 [18688/47500]	Loss: 2.4985	LR: 0.038710
Training Epoch: 1 [18944/47500]	Loss: 2.3955	LR: 0.039247
Training Epoch: 1 [19200/47500]	Loss: 2.3824	LR: 0.039785
Training Epoch: 1 [19456/47500]	Loss: 2.4255	LR: 0.040323
Training Epoch: 1 [19712/47500]	Loss: 2.4256	LR: 0.040860
Training Epoch: 1 [19968/47500]	Loss: 2.4624	LR: 0.041398
Training Epoch: 1 [20224/47500]	Loss: 2.4096	LR: 0.041935
Training Epoch: 1 [20480/47500]	Loss: 2.4348	LR: 0.042473
Training Epoch: 1 [20736/47500]	Loss: 2.4671	LR: 0.043011
Training Epoch: 1 [20992/47500]	Loss: 2.2837	LR: 0.043548
Training Epoch: 1 [21248/47500]	Loss: 2.5185	LR: 0.044086
Training Epoch: 1 [21504/47500]	Loss: 2.4036	LR: 0.044624
Training Epoch: 1 [21760/47500]	Loss: 2.5429	LR: 0.045161
Training Epoch: 1 [22016/47500]	Loss: 2.4321	LR: 0.045699
Training Epoch: 1 [22272/47500]	Loss: 2.4428	LR: 0.046237
Training Epoch: 1 [22528/47500]	Loss: 2.4994	LR: 0.046774
Training Epoch: 1 [22784/47500]	Loss: 2.4516	LR: 0.047312
Training Epoch: 1 [23040/47500]	Loss: 2.5007	LR: 0.047849
Training Epoch: 1 [23296/47500]	Loss: 2.5249	LR: 0.048387
Training Epoch: 1 [23552/47500]	Loss: 2.5001	LR: 0.048925
Training Epoch: 1 [23808/47500]	Loss: 2.4820	LR: 0.049462
Training Epoch: 1 [24064/47500]	Loss: 2.3437	LR: 0.050000
Training Epoch: 1 [24320/47500]	Loss: 2.4778	LR: 0.050538
Training Epoch: 1 [24576/47500]	Loss: 2.3792	LR: 0.051075
Training Epoch: 1 [24832/47500]	Loss: 2.3705	LR: 0.051613
Training Epoch: 1 [25088/47500]	Loss: 2.3422	LR: 0.052151
Training Epoch: 1 [25344/47500]	Loss: 2.4721	LR: 0.052688
Training Epoch: 1 [25600/47500]	Loss: 2.4748	LR: 0.053226
Training Epoch: 1 [25856/47500]	Loss: 2.5141	LR: 0.053763
Training Epoch: 1 [26112/47500]	Loss: 2.3521	LR: 0.054301
Training Epoch: 1 [26368/47500]	Loss: 2.4161	LR: 0.054839
Training Epoch: 1 [26624/47500]	Loss: 2.4857	LR: 0.055376
Training Epoch: 1 [26880/47500]	Loss: 2.4588	LR: 0.055914
Training Epoch: 1 [27136/47500]	Loss: 2.4422	LR: 0.056452
Training Epoch: 1 [27392/47500]	Loss: 2.4585	LR: 0.056989
Training Epoch: 1 [27648/47500]	Loss: 2.4061	LR: 0.057527
Training Epoch: 1 [27904/47500]	Loss: 2.3178	LR: 0.058065
Training Epoch: 1 [28160/47500]	Loss: 2.5207	LR: 0.058602
Training Epoch: 1 [28416/47500]	Loss: 2.5917	LR: 0.059140
Training Epoch: 1 [28672/47500]	Loss: 2.3743	LR: 0.059677
Training Epoch: 1 [28928/47500]	Loss: 2.3228	LR: 0.060215
Training Epoch: 1 [29184/47500]	Loss: 2.5507	LR: 0.060753
Training Epoch: 1 [29440/47500]	Loss: 2.5274	LR: 0.061290
Training Epoch: 1 [29696/47500]	Loss: 2.5078	LR: 0.061828
Training Epoch: 1 [29952/47500]	Loss: 2.3709	LR: 0.062366
Training Epoch: 1 [30208/47500]	Loss: 2.3851	LR: 0.062903
Training Epoch: 1 [30464/47500]	Loss: 2.4317	LR: 0.063441
Training Epoch: 1 [30720/47500]	Loss: 2.4069	LR: 0.063978
Training Epoch: 1 [30976/47500]	Loss: 2.3549	LR: 0.064516
Training Epoch: 1 [31232/47500]	Loss: 2.4149	LR: 0.065054
Training Epoch: 1 [31488/47500]	Loss: 2.3492	LR: 0.065591
Training Epoch: 1 [31744/47500]	Loss: 2.4676	LR: 0.066129
Training Epoch: 1 [32000/47500]	Loss: 2.3504	LR: 0.066667
Training Epoch: 1 [32256/47500]	Loss: 2.4039	LR: 0.067204
Training Epoch: 1 [32512/47500]	Loss: 2.4819	LR: 0.067742
Training Epoch: 1 [32768/47500]	Loss: 2.3565	LR: 0.068280
Training Epoch: 1 [33024/47500]	Loss: 2.3940	LR: 0.068817
Training Epoch: 1 [33280/47500]	Loss: 2.4557	LR: 0.069355
Training Epoch: 1 [33536/47500]	Loss: 2.4069	LR: 0.069892
Training Epoch: 1 [33792/47500]	Loss: 2.2804	LR: 0.070430
Training Epoch: 1 [34048/47500]	Loss: 2.4372	LR: 0.070968
Training Epoch: 1 [34304/47500]	Loss: 2.3892	LR: 0.071505
Training Epoch: 1 [34560/47500]	Loss: 2.3296	LR: 0.072043
Training Epoch: 1 [34816/47500]	Loss: 2.4439	LR: 0.072581
Training Epoch: 1 [35072/47500]	Loss: 2.3491	LR: 0.073118
Training Epoch: 1 [35328/47500]	Loss: 2.3908	LR: 0.073656
Training Epoch: 1 [35584/47500]	Loss: 2.4131	LR: 0.074194
Training Epoch: 1 [35840/47500]	Loss: 2.3303	LR: 0.074731
Training Epoch: 1 [36096/47500]	Loss: 2.4782	LR: 0.075269
Training Epoch: 1 [36352/47500]	Loss: 2.4549	LR: 0.075806
Training Epoch: 1 [36608/47500]	Loss: 2.3369	LR: 0.076344
Training Epoch: 1 [36864/47500]	Loss: 2.4529	LR: 0.076882
Training Epoch: 1 [37120/47500]	Loss: 2.4039	LR: 0.077419
Training Epoch: 1 [37376/47500]	Loss: 2.2779	LR: 0.077957
Training Epoch: 1 [37632/47500]	Loss: 2.3489	LR: 0.078495
Training Epoch: 1 [37888/47500]	Loss: 2.4090	LR: 0.079032
Training Epoch: 1 [38144/47500]	Loss: 2.2998	LR: 0.079570
Training Epoch: 1 [38400/47500]	Loss: 2.4021	LR: 0.080108
Training Epoch: 1 [38656/47500]	Loss: 2.3334	LR: 0.080645
Training Epoch: 1 [38912/47500]	Loss: 2.2746	LR: 0.081183
Training Epoch: 1 [39168/47500]	Loss: 2.2795	LR: 0.081720
Training Epoch: 1 [39424/47500]	Loss: 2.3959	LR: 0.082258
Training Epoch: 1 [39680/47500]	Loss: 2.3805	LR: 0.082796
Training Epoch: 1 [39936/47500]	Loss: 2.4003	LR: 0.083333
Training Epoch: 1 [40192/47500]	Loss: 2.2911	LR: 0.083871
Training Epoch: 1 [40448/47500]	Loss: 2.3554	LR: 0.084409
Training Epoch: 1 [40704/47500]	Loss: 2.4092	LR: 0.084946
Training Epoch: 1 [40960/47500]	Loss: 2.3882	LR: 0.085484
Training Epoch: 1 [41216/47500]	Loss: 2.3287	LR: 0.086022
Training Epoch: 1 [41472/47500]	Loss: 2.3075	LR: 0.086559
Training Epoch: 1 [41728/47500]	Loss: 2.4075	LR: 0.087097
Training Epoch: 1 [41984/47500]	Loss: 2.3124	LR: 0.087634
Training Epoch: 1 [42240/47500]	Loss: 2.2892	LR: 0.088172
Training Epoch: 1 [42496/47500]	Loss: 2.2987	LR: 0.088710
Training Epoch: 1 [42752/47500]	Loss: 2.3225	LR: 0.089247
Training Epoch: 1 [43008/47500]	Loss: 2.2446	LR: 0.089785
Training Epoch: 1 [43264/47500]	Loss: 2.3149	LR: 0.090323
Training Epoch: 1 [43520/47500]	Loss: 2.3838	LR: 0.090860
Training Epoch: 1 [43776/47500]	Loss: 2.2507	LR: 0.091398
Training Epoch: 1 [44032/47500]	Loss: 2.3914	LR: 0.091935
Training Epoch: 1 [44288/47500]	Loss: 2.3177	LR: 0.092473
Training Epoch: 1 [44544/47500]	Loss: 2.3943	LR: 0.093011
Training Epoch: 1 [44800/47500]	Loss: 2.3562	LR: 0.093548
Training Epoch: 1 [45056/47500]	Loss: 2.5055	LR: 0.094086
Training Epoch: 1 [45312/47500]	Loss: 2.2074	LR: 0.094624
Training Epoch: 1 [45568/47500]	Loss: 2.4036	LR: 0.095161
Training Epoch: 1 [45824/47500]	Loss: 2.2848	LR: 0.095699
Training Epoch: 1 [46080/47500]	Loss: 2.2473	LR: 0.096237
Training Epoch: 1 [46336/47500]	Loss: 2.5040	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 2.3749	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 2.1819	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 2.4470	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 2.3682	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 2.3143	LR: 0.099462
Epoch 1 - Average Train Loss: 2.5150, Train Accuracy: 0.2215
Epoch 1 training time consumed: 26.76s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0108, Accuracy: 0.2272, Time consumed:1.01s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_23h_35m_53s/AllCNN-Cifar20-seed9-ret50-1-best.pth
Training Epoch: 2 [256/47500]	Loss: 2.3320	LR: 0.100000
Training Epoch: 2 [512/47500]	Loss: 2.2551	LR: 0.100000
Training Epoch: 2 [768/47500]	Loss: 2.3423	LR: 0.100000
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Epoch 2 - Average Train Loss: 2.1583, Train Accuracy: 0.3244
Epoch 2 training time consumed: 25.90s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0085, Accuracy: 0.3498, Time consumed:0.88s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_23h_35m_53s/AllCNN-Cifar20-seed9-ret50-2-best.pth
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Training Epoch: 3 [47500/47500]	Loss: 1.8014	LR: 0.100000
Epoch 3 - Average Train Loss: 1.9195, Train Accuracy: 0.3971
Epoch 3 training time consumed: 25.99s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0077, Accuracy: 0.3997, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_23h_35m_53s/AllCNN-Cifar20-seed9-ret50-3-best.pth
Training Epoch: 4 [256/47500]	Loss: 1.8058	LR: 0.100000
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Epoch 4 - Average Train Loss: 1.7457, Train Accuracy: 0.4498
Epoch 4 training time consumed: 26.11s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0078, Accuracy: 0.4194, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_23h_35m_53s/AllCNN-Cifar20-seed9-ret50-4-best.pth
Training Epoch: 5 [256/47500]	Loss: 1.6723	LR: 0.100000
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Epoch 5 - Average Train Loss: 1.5871, Train Accuracy: 0.4959
Epoch 5 training time consumed: 26.10s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0074, Accuracy: 0.4447, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_23h_35m_53s/AllCNN-Cifar20-seed9-ret50-5-best.pth
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Training Epoch: 6 [47500/47500]	Loss: 1.3798	LR: 0.100000
Epoch 6 - Average Train Loss: 1.4637, Train Accuracy: 0.5335
Epoch 6 training time consumed: 26.28s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0067, Accuracy: 0.5019, Time consumed:0.88s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_23h_35m_53s/AllCNN-Cifar20-seed9-ret50-6-best.pth
Training Epoch: 7 [256/47500]	Loss: 1.2924	LR: 0.100000
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Epoch 7 - Average Train Loss: 1.3578, Train Accuracy: 0.5669
Epoch 7 training time consumed: 26.10s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0058, Accuracy: 0.5479, Time consumed:0.89s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_23h_35m_53s/AllCNN-Cifar20-seed9-ret50-7-best.pth
Training Epoch: 8 [256/47500]	Loss: 1.2156	LR: 0.100000
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Epoch 8 - Average Train Loss: 1.2678, Train Accuracy: 0.5953
Epoch 8 training time consumed: 25.94s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0059, Accuracy: 0.5494, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_23h_35m_53s/AllCNN-Cifar20-seed9-ret50-8-best.pth
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Training Epoch: 9 [47500/47500]	Loss: 1.2616	LR: 0.100000
Epoch 9 - Average Train Loss: 1.2048, Train Accuracy: 0.6131
Epoch 9 training time consumed: 26.02s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0057, Accuracy: 0.5645, Time consumed:0.89s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_23h_35m_53s/AllCNN-Cifar20-seed9-ret50-9-best.pth
Training Epoch: 10 [256/47500]	Loss: 1.3346	LR: 0.100000
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Epoch 10 - Average Train Loss: 1.1484, Train Accuracy: 0.6326
Epoch 10 training time consumed: 26.05s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0051, Accuracy: 0.5991, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_23h_35m_53s/AllCNN-Cifar20-seed9-ret50-10-best.pth
Training Epoch: 11 [256/47500]	Loss: 1.0606	LR: 0.100000
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Training Epoch: 11 [47500/47500]	Loss: 1.1176	LR: 0.100000
Epoch 11 - Average Train Loss: 1.1044, Train Accuracy: 0.6452
Epoch 11 training time consumed: 25.94s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0064, Accuracy: 0.5506, Time consumed:0.93s
Training Epoch: 12 [256/47500]	Loss: 1.1052	LR: 0.100000
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Training Epoch: 12 [47500/47500]	Loss: 0.9615	LR: 0.100000
Epoch 12 - Average Train Loss: 1.0623, Train Accuracy: 0.6602
Epoch 12 training time consumed: 25.89s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0050, Accuracy: 0.6170, Time consumed:0.89s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_23h_35m_53s/AllCNN-Cifar20-seed9-ret50-12-best.pth
Training Epoch: 13 [256/47500]	Loss: 0.9099	LR: 0.100000
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Training Epoch: 13 [19712/47500]	Loss: 1.0315	LR: 0.100000
Training Epoch: 13 [19968/47500]	Loss: 1.0662	LR: 0.100000
Training Epoch: 13 [20224/47500]	Loss: 1.0804	LR: 0.100000
Training Epoch: 13 [20480/47500]	Loss: 0.9773	LR: 0.100000
Training Epoch: 13 [20736/47500]	Loss: 1.0753	LR: 0.100000
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Training Epoch: 13 [21248/47500]	Loss: 1.0846	LR: 0.100000
Training Epoch: 13 [21504/47500]	Loss: 1.0219	LR: 0.100000
Training Epoch: 13 [21760/47500]	Loss: 0.8982	LR: 0.100000
Training Epoch: 13 [22016/47500]	Loss: 1.0998	LR: 0.100000
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Training Epoch: 13 [24576/47500]	Loss: 0.9298	LR: 0.100000
Training Epoch: 13 [24832/47500]	Loss: 1.0133	LR: 0.100000
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Training Epoch: 13 [28672/47500]	Loss: 0.9388	LR: 0.100000
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Training Epoch: 13 [29440/47500]	Loss: 1.1281	LR: 0.100000
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Training Epoch: 13 [29952/47500]	Loss: 0.9677	LR: 0.100000
Training Epoch: 13 [30208/47500]	Loss: 0.9254	LR: 0.100000
Training Epoch: 13 [30464/47500]	Loss: 1.0536	LR: 0.100000
Training Epoch: 13 [30720/47500]	Loss: 1.0746	LR: 0.100000
Training Epoch: 13 [30976/47500]	Loss: 1.0426	LR: 0.100000
Training Epoch: 13 [31232/47500]	Loss: 1.0294	LR: 0.100000
Training Epoch: 13 [31488/47500]	Loss: 0.9965	LR: 0.100000
Training Epoch: 13 [31744/47500]	Loss: 1.0144	LR: 0.100000
Training Epoch: 13 [32000/47500]	Loss: 1.0515	LR: 0.100000
Training Epoch: 13 [32256/47500]	Loss: 0.8813	LR: 0.100000
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Training Epoch: 13 [34816/47500]	Loss: 0.9082	LR: 0.100000
Training Epoch: 13 [35072/47500]	Loss: 1.0213	LR: 0.100000
Training Epoch: 13 [35328/47500]	Loss: 1.0126	LR: 0.100000
Training Epoch: 13 [35584/47500]	Loss: 1.1150	LR: 0.100000
Training Epoch: 13 [35840/47500]	Loss: 0.9228	LR: 0.100000
Training Epoch: 13 [36096/47500]	Loss: 1.0968	LR: 0.100000
Training Epoch: 13 [36352/47500]	Loss: 0.9553	LR: 0.100000
Training Epoch: 13 [36608/47500]	Loss: 1.0334	LR: 0.100000
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Training Epoch: 13 [37376/47500]	Loss: 1.0329	LR: 0.100000
Training Epoch: 13 [37632/47500]	Loss: 1.1705	LR: 0.100000
Training Epoch: 13 [37888/47500]	Loss: 1.0544	LR: 0.100000
Training Epoch: 13 [38144/47500]	Loss: 0.9808	LR: 0.100000
Training Epoch: 13 [38400/47500]	Loss: 0.8683	LR: 0.100000
Training Epoch: 13 [38656/47500]	Loss: 1.0389	LR: 0.100000
Training Epoch: 13 [38912/47500]	Loss: 0.9702	LR: 0.100000
Training Epoch: 13 [39168/47500]	Loss: 0.9237	LR: 0.100000
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Training Epoch: 13 [39680/47500]	Loss: 1.0743	LR: 0.100000
Training Epoch: 13 [39936/47500]	Loss: 0.9184	LR: 0.100000
Training Epoch: 13 [40192/47500]	Loss: 1.0733	LR: 0.100000
Training Epoch: 13 [40448/47500]	Loss: 1.1575	LR: 0.100000
Training Epoch: 13 [40704/47500]	Loss: 1.0161	LR: 0.100000
Training Epoch: 13 [40960/47500]	Loss: 0.9153	LR: 0.100000
Training Epoch: 13 [41216/47500]	Loss: 1.0944	LR: 0.100000
Training Epoch: 13 [41472/47500]	Loss: 1.2141	LR: 0.100000
Training Epoch: 13 [41728/47500]	Loss: 1.0064	LR: 0.100000
Training Epoch: 13 [41984/47500]	Loss: 1.0030	LR: 0.100000
Training Epoch: 13 [42240/47500]	Loss: 0.9628	LR: 0.100000
Training Epoch: 13 [42496/47500]	Loss: 0.8543	LR: 0.100000
Training Epoch: 13 [42752/47500]	Loss: 0.9958	LR: 0.100000
Training Epoch: 13 [43008/47500]	Loss: 0.9588	LR: 0.100000
Training Epoch: 13 [43264/47500]	Loss: 1.1144	LR: 0.100000
Training Epoch: 13 [43520/47500]	Loss: 1.0428	LR: 0.100000
Training Epoch: 13 [43776/47500]	Loss: 1.1081	LR: 0.100000
Training Epoch: 13 [44032/47500]	Loss: 1.0543	LR: 0.100000
Training Epoch: 13 [44288/47500]	Loss: 0.9915	LR: 0.100000
Training Epoch: 13 [44544/47500]	Loss: 0.9970	LR: 0.100000
Training Epoch: 13 [44800/47500]	Loss: 1.0423	LR: 0.100000
Training Epoch: 13 [45056/47500]	Loss: 0.9894	LR: 0.100000
Training Epoch: 13 [45312/47500]	Loss: 0.9394	LR: 0.100000
Training Epoch: 13 [45568/47500]	Loss: 0.9753	LR: 0.100000
Training Epoch: 13 [45824/47500]	Loss: 0.9586	LR: 0.100000
Training Epoch: 13 [46080/47500]	Loss: 0.8884	LR: 0.100000
Training Epoch: 13 [46336/47500]	Loss: 1.1183	LR: 0.100000
Training Epoch: 13 [46592/47500]	Loss: 1.0477	LR: 0.100000
Training Epoch: 13 [46848/47500]	Loss: 0.9605	LR: 0.100000
Training Epoch: 13 [47104/47500]	Loss: 1.0157	LR: 0.100000
Training Epoch: 13 [47360/47500]	Loss: 1.2965	LR: 0.100000
Training Epoch: 13 [47500/47500]	Loss: 1.0810	LR: 0.100000
Epoch 13 - Average Train Loss: 1.0347, Train Accuracy: 0.6679
Epoch 13 training time consumed: 25.98s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0059, Accuracy: 0.5711, Time consumed:0.96s
Training Epoch: 14 [256/47500]	Loss: 0.9782	LR: 0.100000
Training Epoch: 14 [512/47500]	Loss: 0.9789	LR: 0.100000
Training Epoch: 14 [768/47500]	Loss: 1.0439	LR: 0.100000
Training Epoch: 14 [1024/47500]	Loss: 0.9237	LR: 0.100000
Training Epoch: 14 [1280/47500]	Loss: 1.1591	LR: 0.100000
Training Epoch: 14 [1536/47500]	Loss: 1.1236	LR: 0.100000
Training Epoch: 14 [1792/47500]	Loss: 0.9503	LR: 0.100000
Training Epoch: 14 [2048/47500]	Loss: 1.0062	LR: 0.100000
Training Epoch: 14 [2304/47500]	Loss: 1.0282	LR: 0.100000
Training Epoch: 14 [2560/47500]	Loss: 1.0145	LR: 0.100000
Training Epoch: 14 [2816/47500]	Loss: 1.1072	LR: 0.100000
Training Epoch: 14 [3072/47500]	Loss: 1.0572	LR: 0.100000
Training Epoch: 14 [3328/47500]	Loss: 0.8652	LR: 0.100000
Training Epoch: 14 [3584/47500]	Loss: 0.8517	LR: 0.100000
Training Epoch: 14 [3840/47500]	Loss: 0.8485	LR: 0.100000
Training Epoch: 14 [4096/47500]	Loss: 1.0437	LR: 0.100000
Training Epoch: 14 [4352/47500]	Loss: 1.0726	LR: 0.100000
Training Epoch: 14 [4608/47500]	Loss: 0.9645	LR: 0.100000
Training Epoch: 14 [4864/47500]	Loss: 0.9953	LR: 0.100000
Training Epoch: 14 [5120/47500]	Loss: 1.0460	LR: 0.100000
Training Epoch: 14 [5376/47500]	Loss: 1.0859	LR: 0.100000
Training Epoch: 14 [5632/47500]	Loss: 0.9900	LR: 0.100000
Training Epoch: 14 [5888/47500]	Loss: 0.9877	LR: 0.100000
Training Epoch: 14 [6144/47500]	Loss: 0.8873	LR: 0.100000
Training Epoch: 14 [6400/47500]	Loss: 0.7196	LR: 0.100000
Training Epoch: 14 [6656/47500]	Loss: 1.1342	LR: 0.100000
Training Epoch: 14 [6912/47500]	Loss: 0.9500	LR: 0.100000
Training Epoch: 14 [7168/47500]	Loss: 1.0984	LR: 0.100000
Training Epoch: 14 [7424/47500]	Loss: 0.9259	LR: 0.100000
Training Epoch: 14 [7680/47500]	Loss: 0.9203	LR: 0.100000
Training Epoch: 14 [7936/47500]	Loss: 1.1189	LR: 0.100000
Training Epoch: 14 [8192/47500]	Loss: 1.2046	LR: 0.100000
Training Epoch: 14 [8448/47500]	Loss: 0.9387	LR: 0.100000
Training Epoch: 14 [8704/47500]	Loss: 1.0739	LR: 0.100000
Training Epoch: 14 [8960/47500]	Loss: 0.9436	LR: 0.100000
Training Epoch: 14 [9216/47500]	Loss: 1.1005	LR: 0.100000
Training Epoch: 14 [9472/47500]	Loss: 1.0443	LR: 0.100000
Training Epoch: 14 [9728/47500]	Loss: 1.1569	LR: 0.100000
Training Epoch: 14 [9984/47500]	Loss: 1.1522	LR: 0.100000
Training Epoch: 14 [10240/47500]	Loss: 1.0080	LR: 0.100000
Training Epoch: 14 [10496/47500]	Loss: 1.0901	LR: 0.100000
Training Epoch: 14 [10752/47500]	Loss: 1.0803	LR: 0.100000
Training Epoch: 14 [11008/47500]	Loss: 1.1213	LR: 0.100000
Training Epoch: 14 [11264/47500]	Loss: 0.8841	LR: 0.100000
Training Epoch: 14 [11520/47500]	Loss: 0.9576	LR: 0.100000
Training Epoch: 14 [11776/47500]	Loss: 0.9629	LR: 0.100000
Training Epoch: 14 [12032/47500]	Loss: 1.1336	LR: 0.100000
Training Epoch: 14 [12288/47500]	Loss: 1.0085	LR: 0.100000
Training Epoch: 14 [12544/47500]	Loss: 1.0057	LR: 0.100000
Training Epoch: 14 [12800/47500]	Loss: 0.9896	LR: 0.100000
Training Epoch: 14 [13056/47500]	Loss: 0.9404	LR: 0.100000
Training Epoch: 14 [13312/47500]	Loss: 1.1083	LR: 0.100000
Training Epoch: 14 [13568/47500]	Loss: 0.9759	LR: 0.100000
Training Epoch: 14 [13824/47500]	Loss: 0.9491	LR: 0.100000
Training Epoch: 14 [14080/47500]	Loss: 1.0371	LR: 0.100000
Training Epoch: 14 [14336/47500]	Loss: 0.9349	LR: 0.100000
Training Epoch: 14 [14592/47500]	Loss: 0.9495	LR: 0.100000
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Training Epoch: 14 [15104/47500]	Loss: 0.9625	LR: 0.100000
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Training Epoch: 14 [15616/47500]	Loss: 1.0251	LR: 0.100000
Training Epoch: 14 [15872/47500]	Loss: 0.9966	LR: 0.100000
Training Epoch: 14 [16128/47500]	Loss: 0.9395	LR: 0.100000
Training Epoch: 14 [16384/47500]	Loss: 0.9783	LR: 0.100000
Training Epoch: 14 [16640/47500]	Loss: 1.0100	LR: 0.100000
Training Epoch: 14 [16896/47500]	Loss: 1.0082	LR: 0.100000
Training Epoch: 14 [17152/47500]	Loss: 0.9352	LR: 0.100000
Training Epoch: 14 [17408/47500]	Loss: 0.9652	LR: 0.100000
Training Epoch: 14 [17664/47500]	Loss: 0.9700	LR: 0.100000
Training Epoch: 14 [17920/47500]	Loss: 0.8892	LR: 0.100000
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Training Epoch: 14 [18944/47500]	Loss: 0.9851	LR: 0.100000
Training Epoch: 14 [19200/47500]	Loss: 1.0505	LR: 0.100000
Training Epoch: 14 [19456/47500]	Loss: 1.1397	LR: 0.100000
Training Epoch: 14 [19712/47500]	Loss: 0.8621	LR: 0.100000
Training Epoch: 14 [19968/47500]	Loss: 0.9931	LR: 0.100000
Training Epoch: 14 [20224/47500]	Loss: 1.0125	LR: 0.100000
Training Epoch: 14 [20480/47500]	Loss: 0.9397	LR: 0.100000
Training Epoch: 14 [20736/47500]	Loss: 0.8390	LR: 0.100000
Training Epoch: 14 [20992/47500]	Loss: 0.8656	LR: 0.100000
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Training Epoch: 14 [21760/47500]	Loss: 1.0876	LR: 0.100000
Training Epoch: 14 [22016/47500]	Loss: 1.0458	LR: 0.100000
Training Epoch: 14 [22272/47500]	Loss: 0.9255	LR: 0.100000
Training Epoch: 14 [22528/47500]	Loss: 1.0227	LR: 0.100000
Training Epoch: 14 [22784/47500]	Loss: 0.9600	LR: 0.100000
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Training Epoch: 14 [23552/47500]	Loss: 1.1028	LR: 0.100000
Training Epoch: 14 [23808/47500]	Loss: 0.9628	LR: 0.100000
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Training Epoch: 14 [24320/47500]	Loss: 1.0023	LR: 0.100000
Training Epoch: 14 [24576/47500]	Loss: 0.8939	LR: 0.100000
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Training Epoch: 14 [25856/47500]	Loss: 0.9844	LR: 0.100000
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Training Epoch: 14 [26368/47500]	Loss: 0.8846	LR: 0.100000
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Training Epoch: 14 [27136/47500]	Loss: 0.9177	LR: 0.100000
Training Epoch: 14 [27392/47500]	Loss: 1.0115	LR: 0.100000
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Training Epoch: 14 [27904/47500]	Loss: 1.1032	LR: 0.100000
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Training Epoch: 14 [28416/47500]	Loss: 0.9040	LR: 0.100000
Training Epoch: 14 [28672/47500]	Loss: 1.0304	LR: 0.100000
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Training Epoch: 14 [29440/47500]	Loss: 1.0752	LR: 0.100000
Training Epoch: 14 [29696/47500]	Loss: 0.9182	LR: 0.100000
Training Epoch: 14 [29952/47500]	Loss: 0.8801	LR: 0.100000
Training Epoch: 14 [30208/47500]	Loss: 1.1329	LR: 0.100000
Training Epoch: 14 [30464/47500]	Loss: 0.8983	LR: 0.100000
Training Epoch: 14 [30720/47500]	Loss: 1.1586	LR: 0.100000
Training Epoch: 14 [30976/47500]	Loss: 1.1904	LR: 0.100000
Training Epoch: 14 [31232/47500]	Loss: 0.7670	LR: 0.100000
Training Epoch: 14 [31488/47500]	Loss: 0.9347	LR: 0.100000
Training Epoch: 14 [31744/47500]	Loss: 0.9170	LR: 0.100000
Training Epoch: 14 [32000/47500]	Loss: 1.1467	LR: 0.100000
Training Epoch: 14 [32256/47500]	Loss: 0.7874	LR: 0.100000
Training Epoch: 14 [32512/47500]	Loss: 1.0017	LR: 0.100000
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Training Epoch: 14 [47500/47500]	Loss: 1.1189	LR: 0.100000
Epoch 14 - Average Train Loss: 1.0081, Train Accuracy: 0.6765
Epoch 14 training time consumed: 26.00s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0048, Accuracy: 0.6373, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_23h_35m_53s/AllCNN-Cifar20-seed9-ret50-14-best.pth
Training Epoch: 15 [256/47500]	Loss: 0.9238	LR: 0.020000
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Training Epoch: 15 [47500/47500]	Loss: 0.7493	LR: 0.020000
Epoch 15 - Average Train Loss: 0.7733, Train Accuracy: 0.7535
Epoch 15 training time consumed: 26.17s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0033, Accuracy: 0.7347, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_23h_35m_53s/AllCNN-Cifar20-seed9-ret50-15-best.pth
Training Epoch: 16 [256/47500]	Loss: 0.7085	LR: 0.020000
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Training Epoch: 16 [47500/47500]	Loss: 0.6768	LR: 0.020000
Epoch 16 - Average Train Loss: 0.6955, Train Accuracy: 0.7782
Epoch 16 training time consumed: 26.16s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0034, Accuracy: 0.7353, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_23h_35m_53s/AllCNN-Cifar20-seed9-ret50-16-best.pth
Training Epoch: 17 [256/47500]	Loss: 0.5949	LR: 0.020000
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Training Epoch: 17 [47500/47500]	Loss: 0.7279	LR: 0.020000
Epoch 17 - Average Train Loss: 0.6647, Train Accuracy: 0.7863
Epoch 17 training time consumed: 25.86s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0033, Accuracy: 0.7409, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_23h_35m_53s/AllCNN-Cifar20-seed9-ret50-17-best.pth
Training Epoch: 18 [256/47500]	Loss: 0.5827	LR: 0.020000
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Training Epoch: 18 [47500/47500]	Loss: 0.6811	LR: 0.020000
Epoch 18 - Average Train Loss: 0.6414, Train Accuracy: 0.7938
Epoch 18 training time consumed: 25.92s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0033, Accuracy: 0.7379, Time consumed:0.90s
Training Epoch: 19 [256/47500]	Loss: 0.6183	LR: 0.020000
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Training Epoch: 19 [13056/47500]	Loss: 0.5630	LR: 0.020000
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Training Epoch: 19 [13568/47500]	Loss: 0.5631	LR: 0.020000
Training Epoch: 19 [13824/47500]	Loss: 0.5813	LR: 0.020000
Training Epoch: 19 [14080/47500]	Loss: 0.6396	LR: 0.020000
Training Epoch: 19 [14336/47500]	Loss: 0.6095	LR: 0.020000
Training Epoch: 19 [14592/47500]	Loss: 0.6490	LR: 0.020000
Training Epoch: 19 [14848/47500]	Loss: 0.6281	LR: 0.020000
Training Epoch: 19 [15104/47500]	Loss: 0.4532	LR: 0.020000
Training Epoch: 19 [15360/47500]	Loss: 0.7288	LR: 0.020000
Training Epoch: 19 [15616/47500]	Loss: 0.5630	LR: 0.020000
Training Epoch: 19 [15872/47500]	Loss: 0.5871	LR: 0.020000
Training Epoch: 19 [16128/47500]	Loss: 0.6097	LR: 0.020000
Training Epoch: 19 [16384/47500]	Loss: 0.5455	LR: 0.020000
Training Epoch: 19 [16640/47500]	Loss: 0.5820	LR: 0.020000
Training Epoch: 19 [16896/47500]	Loss: 0.6308	LR: 0.020000
Training Epoch: 19 [17152/47500]	Loss: 0.7005	LR: 0.020000
Training Epoch: 19 [17408/47500]	Loss: 0.6505	LR: 0.020000
Training Epoch: 19 [17664/47500]	Loss: 0.5768	LR: 0.020000
Training Epoch: 19 [17920/47500]	Loss: 0.6139	LR: 0.020000
Training Epoch: 19 [18176/47500]	Loss: 0.5408	LR: 0.020000
Training Epoch: 19 [18432/47500]	Loss: 0.6417	LR: 0.020000
Training Epoch: 19 [18688/47500]	Loss: 0.7329	LR: 0.020000
Training Epoch: 19 [18944/47500]	Loss: 0.6395	LR: 0.020000
Training Epoch: 19 [19200/47500]	Loss: 0.5431	LR: 0.020000
Training Epoch: 19 [19456/47500]	Loss: 0.6079	LR: 0.020000
Training Epoch: 19 [19712/47500]	Loss: 0.6995	LR: 0.020000
Training Epoch: 19 [19968/47500]	Loss: 0.5510	LR: 0.020000
Training Epoch: 19 [20224/47500]	Loss: 0.5925	LR: 0.020000
Training Epoch: 19 [20480/47500]	Loss: 0.6581	LR: 0.020000
Training Epoch: 19 [20736/47500]	Loss: 0.5981	LR: 0.020000
Training Epoch: 19 [20992/47500]	Loss: 0.5905	LR: 0.020000
Training Epoch: 19 [21248/47500]	Loss: 0.5765	LR: 0.020000
Training Epoch: 19 [21504/47500]	Loss: 0.6328	LR: 0.020000
Training Epoch: 19 [21760/47500]	Loss: 0.6557	LR: 0.020000
Training Epoch: 19 [22016/47500]	Loss: 0.6726	LR: 0.020000
Training Epoch: 19 [22272/47500]	Loss: 0.6753	LR: 0.020000
Training Epoch: 19 [22528/47500]	Loss: 0.6207	LR: 0.020000
Training Epoch: 19 [22784/47500]	Loss: 0.5988	LR: 0.020000
Training Epoch: 19 [23040/47500]	Loss: 0.5627	LR: 0.020000
Training Epoch: 19 [23296/47500]	Loss: 0.6768	LR: 0.020000
Training Epoch: 19 [23552/47500]	Loss: 0.6832	LR: 0.020000
Training Epoch: 19 [23808/47500]	Loss: 0.6231	LR: 0.020000
Training Epoch: 19 [24064/47500]	Loss: 0.5977	LR: 0.020000
Training Epoch: 19 [24320/47500]	Loss: 0.5493	LR: 0.020000
Training Epoch: 19 [24576/47500]	Loss: 0.6057	LR: 0.020000
Training Epoch: 19 [24832/47500]	Loss: 0.6985	LR: 0.020000
Training Epoch: 19 [25088/47500]	Loss: 0.6035	LR: 0.020000
Training Epoch: 19 [25344/47500]	Loss: 0.5702	LR: 0.020000
Training Epoch: 19 [25600/47500]	Loss: 0.5528	LR: 0.020000
Training Epoch: 19 [25856/47500]	Loss: 0.6604	LR: 0.020000
Training Epoch: 19 [26112/47500]	Loss: 0.5826	LR: 0.020000
Training Epoch: 19 [26368/47500]	Loss: 0.5782	LR: 0.020000
Training Epoch: 19 [26624/47500]	Loss: 0.6168	LR: 0.020000
Training Epoch: 19 [26880/47500]	Loss: 0.6734	LR: 0.020000
Training Epoch: 19 [27136/47500]	Loss: 0.5293	LR: 0.020000
Training Epoch: 19 [27392/47500]	Loss: 0.5436	LR: 0.020000
Training Epoch: 19 [27648/47500]	Loss: 0.6620	LR: 0.020000
Training Epoch: 19 [27904/47500]	Loss: 0.6194	LR: 0.020000
Training Epoch: 19 [28160/47500]	Loss: 0.6390	LR: 0.020000
Training Epoch: 19 [28416/47500]	Loss: 0.6562	LR: 0.020000
Training Epoch: 19 [28672/47500]	Loss: 0.5651	LR: 0.020000
Training Epoch: 19 [28928/47500]	Loss: 0.6667	LR: 0.020000
Training Epoch: 19 [29184/47500]	Loss: 0.5434	LR: 0.020000
Training Epoch: 19 [29440/47500]	Loss: 0.6373	LR: 0.020000
Training Epoch: 19 [29696/47500]	Loss: 0.6424	LR: 0.020000
Training Epoch: 19 [29952/47500]	Loss: 0.6546	LR: 0.020000
Training Epoch: 19 [30208/47500]	Loss: 0.6260	LR: 0.020000
Training Epoch: 19 [30464/47500]	Loss: 0.6516	LR: 0.020000
Training Epoch: 19 [30720/47500]	Loss: 0.5746	LR: 0.020000
Training Epoch: 19 [30976/47500]	Loss: 0.6113	LR: 0.020000
Training Epoch: 19 [31232/47500]	Loss: 0.6236	LR: 0.020000
Training Epoch: 19 [31488/47500]	Loss: 0.5844	LR: 0.020000
Training Epoch: 19 [31744/47500]	Loss: 0.5665	LR: 0.020000
Training Epoch: 19 [32000/47500]	Loss: 0.7419	LR: 0.020000
Training Epoch: 19 [32256/47500]	Loss: 0.7044	LR: 0.020000
Training Epoch: 19 [32512/47500]	Loss: 0.5636	LR: 0.020000
Training Epoch: 19 [32768/47500]	Loss: 0.7153	LR: 0.020000
Training Epoch: 19 [33024/47500]	Loss: 0.6048	LR: 0.020000
Training Epoch: 19 [33280/47500]	Loss: 0.6664	LR: 0.020000
Training Epoch: 19 [33536/47500]	Loss: 0.7356	LR: 0.020000
Training Epoch: 19 [33792/47500]	Loss: 0.6175	LR: 0.020000
Training Epoch: 19 [34048/47500]	Loss: 0.6728	LR: 0.020000
Training Epoch: 19 [34304/47500]	Loss: 0.6125	LR: 0.020000
Training Epoch: 19 [34560/47500]	Loss: 0.5845	LR: 0.020000
Training Epoch: 19 [34816/47500]	Loss: 0.6078	LR: 0.020000
Training Epoch: 19 [35072/47500]	Loss: 0.5516	LR: 0.020000
Training Epoch: 19 [35328/47500]	Loss: 0.7916	LR: 0.020000
Training Epoch: 19 [35584/47500]	Loss: 0.6455	LR: 0.020000
Training Epoch: 19 [35840/47500]	Loss: 0.6198	LR: 0.020000
Training Epoch: 19 [36096/47500]	Loss: 0.5289	LR: 0.020000
Training Epoch: 19 [36352/47500]	Loss: 0.7131	LR: 0.020000
Training Epoch: 19 [36608/47500]	Loss: 0.6612	LR: 0.020000
Training Epoch: 19 [36864/47500]	Loss: 0.6342	LR: 0.020000
Training Epoch: 19 [37120/47500]	Loss: 0.5973	LR: 0.020000
Training Epoch: 19 [37376/47500]	Loss: 0.5587	LR: 0.020000
Training Epoch: 19 [37632/47500]	Loss: 0.7727	LR: 0.020000
Training Epoch: 19 [37888/47500]	Loss: 0.6277	LR: 0.020000
Training Epoch: 19 [38144/47500]	Loss: 0.5393	LR: 0.020000
Training Epoch: 19 [38400/47500]	Loss: 0.5945	LR: 0.020000
Training Epoch: 19 [38656/47500]	Loss: 0.6175	LR: 0.020000
Training Epoch: 19 [38912/47500]	Loss: 0.7209	LR: 0.020000
Training Epoch: 19 [39168/47500]	Loss: 0.7726	LR: 0.020000
Training Epoch: 19 [39424/47500]	Loss: 0.6011	LR: 0.020000
Training Epoch: 19 [39680/47500]	Loss: 0.7053	LR: 0.020000
Training Epoch: 19 [39936/47500]	Loss: 0.6839	LR: 0.020000
Training Epoch: 19 [40192/47500]	Loss: 0.6181	LR: 0.020000
Training Epoch: 19 [40448/47500]	Loss: 0.7369	LR: 0.020000
Training Epoch: 19 [40704/47500]	Loss: 0.5265	LR: 0.020000
Training Epoch: 19 [40960/47500]	Loss: 0.6658	LR: 0.020000
Training Epoch: 19 [41216/47500]	Loss: 0.5696	LR: 0.020000
Training Epoch: 19 [41472/47500]	Loss: 0.6949	LR: 0.020000
Training Epoch: 19 [41728/47500]	Loss: 0.5454	LR: 0.020000
Training Epoch: 19 [41984/47500]	Loss: 0.6318	LR: 0.020000
Training Epoch: 19 [42240/47500]	Loss: 0.6185	LR: 0.020000
Training Epoch: 19 [42496/47500]	Loss: 0.6670	LR: 0.020000
Training Epoch: 19 [42752/47500]	Loss: 0.6572	LR: 0.020000
Training Epoch: 19 [43008/47500]	Loss: 0.7577	LR: 0.020000
Training Epoch: 19 [43264/47500]	Loss: 0.6121	LR: 0.020000
Training Epoch: 19 [43520/47500]	Loss: 0.5688	LR: 0.020000
Training Epoch: 19 [43776/47500]	Loss: 0.5393	LR: 0.020000
Training Epoch: 19 [44032/47500]	Loss: 0.6476	LR: 0.020000
Training Epoch: 19 [44288/47500]	Loss: 0.6102	LR: 0.020000
Training Epoch: 19 [44544/47500]	Loss: 0.5445	LR: 0.020000
Training Epoch: 19 [44800/47500]	Loss: 0.6006	LR: 0.020000
Training Epoch: 19 [45056/47500]	Loss: 0.6760	LR: 0.020000
Training Epoch: 19 [45312/47500]	Loss: 0.5844	LR: 0.020000
Training Epoch: 19 [45568/47500]	Loss: 0.6584	LR: 0.020000
Training Epoch: 19 [45824/47500]	Loss: 0.5969	LR: 0.020000
Training Epoch: 19 [46080/47500]	Loss: 0.6594	LR: 0.020000
Training Epoch: 19 [46336/47500]	Loss: 0.5758	LR: 0.020000
Training Epoch: 19 [46592/47500]	Loss: 0.6933	LR: 0.020000
Training Epoch: 19 [46848/47500]	Loss: 0.6853	LR: 0.020000
Training Epoch: 19 [47104/47500]	Loss: 0.7850	LR: 0.020000
Training Epoch: 19 [47360/47500]	Loss: 0.5848	LR: 0.020000
Training Epoch: 19 [47500/47500]	Loss: 0.5867	LR: 0.020000
Epoch 19 - Average Train Loss: 0.6205, Train Accuracy: 0.8007
Epoch 19 training time consumed: 26.25s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0034, Accuracy: 0.7364, Time consumed:0.92s
Training Epoch: 20 [256/47500]	Loss: 0.6361	LR: 0.020000
Training Epoch: 20 [512/47500]	Loss: 0.5405	LR: 0.020000
Training Epoch: 20 [768/47500]	Loss: 0.5761	LR: 0.020000
Training Epoch: 20 [1024/47500]	Loss: 0.5660	LR: 0.020000
Training Epoch: 20 [1280/47500]	Loss: 0.5477	LR: 0.020000
Training Epoch: 20 [1536/47500]	Loss: 0.4994	LR: 0.020000
Training Epoch: 20 [1792/47500]	Loss: 0.6494	LR: 0.020000
Training Epoch: 20 [2048/47500]	Loss: 0.4951	LR: 0.020000
Training Epoch: 20 [2304/47500]	Loss: 0.6946	LR: 0.020000
Training Epoch: 20 [2560/47500]	Loss: 0.5667	LR: 0.020000
Training Epoch: 20 [2816/47500]	Loss: 0.5944	LR: 0.020000
Training Epoch: 20 [3072/47500]	Loss: 0.5246	LR: 0.020000
Training Epoch: 20 [3328/47500]	Loss: 0.4987	LR: 0.020000
Training Epoch: 20 [3584/47500]	Loss: 0.6398	LR: 0.020000
Training Epoch: 20 [3840/47500]	Loss: 0.6465	LR: 0.020000
Training Epoch: 20 [4096/47500]	Loss: 0.5956	LR: 0.020000
Training Epoch: 20 [4352/47500]	Loss: 0.5683	LR: 0.020000
Training Epoch: 20 [4608/47500]	Loss: 0.5393	LR: 0.020000
Training Epoch: 20 [4864/47500]	Loss: 0.4885	LR: 0.020000
Training Epoch: 20 [5120/47500]	Loss: 0.6044	LR: 0.020000
Training Epoch: 20 [5376/47500]	Loss: 0.6154	LR: 0.020000
Training Epoch: 20 [5632/47500]	Loss: 0.6705	LR: 0.020000
Training Epoch: 20 [5888/47500]	Loss: 0.5220	LR: 0.020000
Training Epoch: 20 [6144/47500]	Loss: 0.6039	LR: 0.020000
Training Epoch: 20 [6400/47500]	Loss: 0.5357	LR: 0.020000
Training Epoch: 20 [6656/47500]	Loss: 0.5126	LR: 0.020000
Training Epoch: 20 [6912/47500]	Loss: 0.6770	LR: 0.020000
Training Epoch: 20 [7168/47500]	Loss: 0.6508	LR: 0.020000
Training Epoch: 20 [7424/47500]	Loss: 0.5537	LR: 0.020000
Training Epoch: 20 [7680/47500]	Loss: 0.5210	LR: 0.020000
Training Epoch: 20 [7936/47500]	Loss: 0.5838	LR: 0.020000
Training Epoch: 20 [8192/47500]	Loss: 0.6413	LR: 0.020000
Training Epoch: 20 [8448/47500]	Loss: 0.6195	LR: 0.020000
Training Epoch: 20 [8704/47500]	Loss: 0.5216	LR: 0.020000
Training Epoch: 20 [8960/47500]	Loss: 0.6181	LR: 0.020000
Training Epoch: 20 [9216/47500]	Loss: 0.6377	LR: 0.020000
Training Epoch: 20 [9472/47500]	Loss: 0.6377	LR: 0.020000
Training Epoch: 20 [9728/47500]	Loss: 0.6339	LR: 0.020000
Training Epoch: 20 [9984/47500]	Loss: 0.5424	LR: 0.020000
Training Epoch: 20 [10240/47500]	Loss: 0.6280	LR: 0.020000
Training Epoch: 20 [10496/47500]	Loss: 0.6350	LR: 0.020000
Training Epoch: 20 [10752/47500]	Loss: 0.5353	LR: 0.020000
Training Epoch: 20 [11008/47500]	Loss: 0.6432	LR: 0.020000
Training Epoch: 20 [11264/47500]	Loss: 0.6000	LR: 0.020000
Training Epoch: 20 [11520/47500]	Loss: 0.6760	LR: 0.020000
Training Epoch: 20 [11776/47500]	Loss: 0.6157	LR: 0.020000
Training Epoch: 20 [12032/47500]	Loss: 0.5679	LR: 0.020000
Training Epoch: 20 [12288/47500]	Loss: 0.5235	LR: 0.020000
Training Epoch: 20 [12544/47500]	Loss: 0.5949	LR: 0.020000
Training Epoch: 20 [12800/47500]	Loss: 0.6128	LR: 0.020000
Training Epoch: 20 [13056/47500]	Loss: 0.6572	LR: 0.020000
Training Epoch: 20 [13312/47500]	Loss: 0.5860	LR: 0.020000
Training Epoch: 20 [13568/47500]	Loss: 0.5018	LR: 0.020000
Training Epoch: 20 [13824/47500]	Loss: 0.6617	LR: 0.020000
Training Epoch: 20 [14080/47500]	Loss: 0.5793	LR: 0.020000
Training Epoch: 20 [14336/47500]	Loss: 0.5752	LR: 0.020000
Training Epoch: 20 [14592/47500]	Loss: 0.6714	LR: 0.020000
Training Epoch: 20 [14848/47500]	Loss: 0.5748	LR: 0.020000
Training Epoch: 20 [15104/47500]	Loss: 0.6108	LR: 0.020000
Training Epoch: 20 [15360/47500]	Loss: 0.5314	LR: 0.020000
Training Epoch: 20 [15616/47500]	Loss: 0.5104	LR: 0.020000
Training Epoch: 20 [15872/47500]	Loss: 0.5060	LR: 0.020000
Training Epoch: 20 [16128/47500]	Loss: 0.7644	LR: 0.020000
Training Epoch: 20 [16384/47500]	Loss: 0.5385	LR: 0.020000
Training Epoch: 20 [16640/47500]	Loss: 0.5238	LR: 0.020000
Training Epoch: 20 [16896/47500]	Loss: 0.5704	LR: 0.020000
Training Epoch: 20 [17152/47500]	Loss: 0.5917	LR: 0.020000
Training Epoch: 20 [17408/47500]	Loss: 0.5868	LR: 0.020000
Training Epoch: 20 [17664/47500]	Loss: 0.5568	LR: 0.020000
Training Epoch: 20 [17920/47500]	Loss: 0.6351	LR: 0.020000
Training Epoch: 20 [18176/47500]	Loss: 0.5700	LR: 0.020000
Training Epoch: 20 [18432/47500]	Loss: 0.5149	LR: 0.020000
Training Epoch: 20 [18688/47500]	Loss: 0.6527	LR: 0.020000
Training Epoch: 20 [18944/47500]	Loss: 0.5945	LR: 0.020000
Training Epoch: 20 [19200/47500]	Loss: 0.6265	LR: 0.020000
Training Epoch: 20 [19456/47500]	Loss: 0.5334	LR: 0.020000
Training Epoch: 20 [19712/47500]	Loss: 0.5552	LR: 0.020000
Training Epoch: 20 [19968/47500]	Loss: 0.6106	LR: 0.020000
Training Epoch: 20 [20224/47500]	Loss: 0.5498	LR: 0.020000
Training Epoch: 20 [20480/47500]	Loss: 0.6576	LR: 0.020000
Training Epoch: 20 [20736/47500]	Loss: 0.6028	LR: 0.020000
Training Epoch: 20 [20992/47500]	Loss: 0.6448	LR: 0.020000
Training Epoch: 20 [21248/47500]	Loss: 0.5963	LR: 0.020000
Training Epoch: 20 [21504/47500]	Loss: 0.5511	LR: 0.020000
Training Epoch: 20 [21760/47500]	Loss: 0.6371	LR: 0.020000
Training Epoch: 20 [22016/47500]	Loss: 0.5982	LR: 0.020000
Training Epoch: 20 [22272/47500]	Loss: 0.5700	LR: 0.020000
Training Epoch: 20 [22528/47500]	Loss: 0.6600	LR: 0.020000
Training Epoch: 20 [22784/47500]	Loss: 0.6571	LR: 0.020000
Training Epoch: 20 [23040/47500]	Loss: 0.6817	LR: 0.020000
Training Epoch: 20 [23296/47500]	Loss: 0.5190	LR: 0.020000
Training Epoch: 20 [23552/47500]	Loss: 0.4974	LR: 0.020000
Training Epoch: 20 [23808/47500]	Loss: 0.6259	LR: 0.020000
Training Epoch: 20 [24064/47500]	Loss: 0.5363	LR: 0.020000
Training Epoch: 20 [24320/47500]	Loss: 0.5079	LR: 0.020000
Training Epoch: 20 [24576/47500]	Loss: 0.5974	LR: 0.020000
Training Epoch: 20 [24832/47500]	Loss: 0.5369	LR: 0.020000
Training Epoch: 20 [25088/47500]	Loss: 0.6046	LR: 0.020000
Training Epoch: 20 [25344/47500]	Loss: 0.6189	LR: 0.020000
Training Epoch: 20 [25600/47500]	Loss: 0.6090	LR: 0.020000
Training Epoch: 20 [25856/47500]	Loss: 0.6610	LR: 0.020000
Training Epoch: 20 [26112/47500]	Loss: 0.6068	LR: 0.020000
Training Epoch: 20 [26368/47500]	Loss: 0.5719	LR: 0.020000
Training Epoch: 20 [26624/47500]	Loss: 0.5582	LR: 0.020000
Training Epoch: 20 [26880/47500]	Loss: 0.6072	LR: 0.020000
Training Epoch: 20 [27136/47500]	Loss: 0.6227	LR: 0.020000
Training Epoch: 20 [27392/47500]	Loss: 0.6730	LR: 0.020000
Training Epoch: 20 [27648/47500]	Loss: 0.5443	LR: 0.020000
Training Epoch: 20 [27904/47500]	Loss: 0.5543	LR: 0.020000
Training Epoch: 20 [28160/47500]	Loss: 0.5680	LR: 0.020000
Training Epoch: 20 [28416/47500]	Loss: 0.5931	LR: 0.020000
Training Epoch: 20 [28672/47500]	Loss: 0.5492	LR: 0.020000
Training Epoch: 20 [28928/47500]	Loss: 0.6511	LR: 0.020000
Training Epoch: 20 [29184/47500]	Loss: 0.6633	LR: 0.020000
Training Epoch: 20 [29440/47500]	Loss: 0.7139	LR: 0.020000
Training Epoch: 20 [29696/47500]	Loss: 0.5911	LR: 0.020000
Training Epoch: 20 [29952/47500]	Loss: 0.6168	LR: 0.020000
Training Epoch: 20 [30208/47500]	Loss: 0.6885	LR: 0.020000
Training Epoch: 20 [30464/47500]	Loss: 0.5641	LR: 0.020000
Training Epoch: 20 [30720/47500]	Loss: 0.5409	LR: 0.020000
Training Epoch: 20 [30976/47500]	Loss: 0.6771	LR: 0.020000
Training Epoch: 20 [31232/47500]	Loss: 0.6382	LR: 0.020000
Training Epoch: 20 [31488/47500]	Loss: 0.7656	LR: 0.020000
Training Epoch: 20 [31744/47500]	Loss: 0.5012	LR: 0.020000
Training Epoch: 20 [32000/47500]	Loss: 0.6851	LR: 0.020000
Training Epoch: 20 [32256/47500]	Loss: 0.6727	LR: 0.020000
Training Epoch: 20 [32512/47500]	Loss: 0.7012	LR: 0.020000
Training Epoch: 20 [32768/47500]	Loss: 0.6847	LR: 0.020000
Training Epoch: 20 [33024/47500]	Loss: 0.5931	LR: 0.020000
Training Epoch: 20 [33280/47500]	Loss: 0.6324	LR: 0.020000
Training Epoch: 20 [33536/47500]	Loss: 0.5420	LR: 0.020000
Training Epoch: 20 [33792/47500]	Loss: 0.6197	LR: 0.020000
Training Epoch: 20 [34048/47500]	Loss: 0.6526	LR: 0.020000
Training Epoch: 20 [34304/47500]	Loss: 0.5657	LR: 0.020000
Training Epoch: 20 [34560/47500]	Loss: 0.5552	LR: 0.020000
Training Epoch: 20 [34816/47500]	Loss: 0.6729	LR: 0.020000
Training Epoch: 20 [35072/47500]	Loss: 0.7162	LR: 0.020000
Training Epoch: 20 [35328/47500]	Loss: 0.5613	LR: 0.020000
Training Epoch: 20 [35584/47500]	Loss: 0.6742	LR: 0.020000
Training Epoch: 20 [35840/47500]	Loss: 0.6816	LR: 0.020000
Training Epoch: 20 [36096/47500]	Loss: 0.6372	LR: 0.020000
Training Epoch: 20 [36352/47500]	Loss: 0.5568	LR: 0.020000
Training Epoch: 20 [36608/47500]	Loss: 0.6338	LR: 0.020000
Training Epoch: 20 [36864/47500]	Loss: 0.5573	LR: 0.020000
Training Epoch: 20 [37120/47500]	Loss: 0.5766	LR: 0.020000
Training Epoch: 20 [37376/47500]	Loss: 0.5702	LR: 0.020000
Training Epoch: 20 [37632/47500]	Loss: 0.7142	LR: 0.020000
Training Epoch: 20 [37888/47500]	Loss: 0.6742	LR: 0.020000
Training Epoch: 20 [38144/47500]	Loss: 0.5700	LR: 0.020000
Training Epoch: 20 [38400/47500]	Loss: 0.7603	LR: 0.020000
Training Epoch: 20 [38656/47500]	Loss: 0.6609	LR: 0.020000
Training Epoch: 20 [38912/47500]	Loss: 0.6546	LR: 0.020000
Training Epoch: 20 [39168/47500]	Loss: 0.6970	LR: 0.020000
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Training Epoch: 20 [47500/47500]	Loss: 0.6432	LR: 0.020000
Epoch 20 - Average Train Loss: 0.6043, Train Accuracy: 0.8040
Epoch 20 training time consumed: 26.04s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0035, Accuracy: 0.7295, Time consumed:0.88s
Training Epoch: 21 [256/47500]	Loss: 0.6188	LR: 0.020000
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Training Epoch: 21 [47500/47500]	Loss: 0.6188	LR: 0.020000
Epoch 21 - Average Train Loss: 0.5960, Train Accuracy: 0.8063
Epoch 21 training time consumed: 25.99s
Evaluating Network.....
Test set: Epoch: 21, Average loss: 0.0034, Accuracy: 0.7415, Time consumed:0.96s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_23h_35m_53s/AllCNN-Cifar20-seed9-ret50-21-best.pth
Training Epoch: 22 [256/47500]	Loss: 0.5083	LR: 0.020000
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Training Epoch: 22 [20736/47500]	Loss: 0.6281	LR: 0.020000
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Training Epoch: 22 [22016/47500]	Loss: 0.4739	LR: 0.020000
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Training Epoch: 22 [22528/47500]	Loss: 0.6251	LR: 0.020000
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Training Epoch: 22 [27904/47500]	Loss: 0.6156	LR: 0.020000
Training Epoch: 22 [28160/47500]	Loss: 0.5737	LR: 0.020000
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Training Epoch: 22 [29184/47500]	Loss: 0.6880	LR: 0.020000
Training Epoch: 22 [29440/47500]	Loss: 0.5255	LR: 0.020000
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Training Epoch: 22 [31744/47500]	Loss: 0.6228	LR: 0.020000
Training Epoch: 22 [32000/47500]	Loss: 0.5107	LR: 0.020000
Training Epoch: 22 [32256/47500]	Loss: 0.5719	LR: 0.020000
Training Epoch: 22 [32512/47500]	Loss: 0.6493	LR: 0.020000
Training Epoch: 22 [32768/47500]	Loss: 0.5798	LR: 0.020000
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Training Epoch: 22 [34816/47500]	Loss: 0.5319	LR: 0.020000
Training Epoch: 22 [35072/47500]	Loss: 0.6560	LR: 0.020000
Training Epoch: 22 [35328/47500]	Loss: 0.5357	LR: 0.020000
Training Epoch: 22 [35584/47500]	Loss: 0.5601	LR: 0.020000
Training Epoch: 22 [35840/47500]	Loss: 0.5667	LR: 0.020000
Training Epoch: 22 [36096/47500]	Loss: 0.6331	LR: 0.020000
Training Epoch: 22 [36352/47500]	Loss: 0.4879	LR: 0.020000
Training Epoch: 22 [36608/47500]	Loss: 0.6352	LR: 0.020000
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Training Epoch: 22 [37120/47500]	Loss: 0.5838	LR: 0.020000
Training Epoch: 22 [37376/47500]	Loss: 0.6369	LR: 0.020000
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Training Epoch: 22 [37888/47500]	Loss: 0.6468	LR: 0.020000
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Training Epoch: 22 [38656/47500]	Loss: 0.6184	LR: 0.020000
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Training Epoch: 22 [39168/47500]	Loss: 0.5618	LR: 0.020000
Training Epoch: 22 [39424/47500]	Loss: 0.6455	LR: 0.020000
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Training Epoch: 22 [41472/47500]	Loss: 0.5598	LR: 0.020000
Training Epoch: 22 [41728/47500]	Loss: 0.5798	LR: 0.020000
Training Epoch: 22 [41984/47500]	Loss: 0.5125	LR: 0.020000
Training Epoch: 22 [42240/47500]	Loss: 0.5826	LR: 0.020000
Training Epoch: 22 [42496/47500]	Loss: 0.5342	LR: 0.020000
Training Epoch: 22 [42752/47500]	Loss: 0.6090	LR: 0.020000
Training Epoch: 22 [43008/47500]	Loss: 0.7225	LR: 0.020000
Training Epoch: 22 [43264/47500]	Loss: 0.5638	LR: 0.020000
Training Epoch: 22 [43520/47500]	Loss: 0.6906	LR: 0.020000
Training Epoch: 22 [43776/47500]	Loss: 0.6340	LR: 0.020000
Training Epoch: 22 [44032/47500]	Loss: 0.5709	LR: 0.020000
Training Epoch: 22 [44288/47500]	Loss: 0.6616	LR: 0.020000
Training Epoch: 22 [44544/47500]	Loss: 0.7014	LR: 0.020000
Training Epoch: 22 [44800/47500]	Loss: 0.5884	LR: 0.020000
Training Epoch: 22 [45056/47500]	Loss: 0.6021	LR: 0.020000
Training Epoch: 22 [45312/47500]	Loss: 0.4949	LR: 0.020000
Training Epoch: 22 [45568/47500]	Loss: 0.7164	LR: 0.020000
Training Epoch: 22 [45824/47500]	Loss: 0.5413	LR: 0.020000
Training Epoch: 22 [46080/47500]	Loss: 0.6476	LR: 0.020000
Training Epoch: 22 [46336/47500]	Loss: 0.5651	LR: 0.020000
Training Epoch: 22 [46592/47500]	Loss: 0.6148	LR: 0.020000
Training Epoch: 22 [46848/47500]	Loss: 0.5499	LR: 0.020000
Training Epoch: 22 [47104/47500]	Loss: 0.7444	LR: 0.020000
Training Epoch: 22 [47360/47500]	Loss: 0.6558	LR: 0.020000
Training Epoch: 22 [47500/47500]	Loss: 0.6353	LR: 0.020000
Epoch 22 - Average Train Loss: 0.5763, Train Accuracy: 0.8152
Epoch 22 training time consumed: 25.98s
Evaluating Network.....
Test set: Epoch: 22, Average loss: 0.0035, Accuracy: 0.7366, Time consumed:0.89s
Training Epoch: 23 [256/47500]	Loss: 0.4579	LR: 0.020000
Training Epoch: 23 [512/47500]	Loss: 0.5187	LR: 0.020000
Training Epoch: 23 [768/47500]	Loss: 0.5104	LR: 0.020000
Training Epoch: 23 [1024/47500]	Loss: 0.5917	LR: 0.020000
Training Epoch: 23 [1280/47500]	Loss: 0.4912	LR: 0.020000
Training Epoch: 23 [1536/47500]	Loss: 0.5698	LR: 0.020000
Training Epoch: 23 [1792/47500]	Loss: 0.5545	LR: 0.020000
Training Epoch: 23 [2048/47500]	Loss: 0.5778	LR: 0.020000
Training Epoch: 23 [2304/47500]	Loss: 0.5242	LR: 0.020000
Training Epoch: 23 [2560/47500]	Loss: 0.5467	LR: 0.020000
Training Epoch: 23 [2816/47500]	Loss: 0.5696	LR: 0.020000
Training Epoch: 23 [3072/47500]	Loss: 0.5205	LR: 0.020000
Training Epoch: 23 [3328/47500]	Loss: 0.7106	LR: 0.020000
Training Epoch: 23 [3584/47500]	Loss: 0.6001	LR: 0.020000
Training Epoch: 23 [3840/47500]	Loss: 0.6565	LR: 0.020000
Training Epoch: 23 [4096/47500]	Loss: 0.6087	LR: 0.020000
Training Epoch: 23 [4352/47500]	Loss: 0.6560	LR: 0.020000
Training Epoch: 23 [4608/47500]	Loss: 0.6429	LR: 0.020000
Training Epoch: 23 [4864/47500]	Loss: 0.5840	LR: 0.020000
Training Epoch: 23 [5120/47500]	Loss: 0.5502	LR: 0.020000
Training Epoch: 23 [5376/47500]	Loss: 0.4621	LR: 0.020000
Training Epoch: 23 [5632/47500]	Loss: 0.4933	LR: 0.020000
Training Epoch: 23 [5888/47500]	Loss: 0.5472	LR: 0.020000
Training Epoch: 23 [6144/47500]	Loss: 0.5577	LR: 0.020000
Training Epoch: 23 [6400/47500]	Loss: 0.5737	LR: 0.020000
Training Epoch: 23 [6656/47500]	Loss: 0.5315	LR: 0.020000
Training Epoch: 23 [6912/47500]	Loss: 0.6089	LR: 0.020000
Training Epoch: 23 [7168/47500]	Loss: 0.6359	LR: 0.020000
Training Epoch: 23 [7424/47500]	Loss: 0.4776	LR: 0.020000
Training Epoch: 23 [7680/47500]	Loss: 0.4963	LR: 0.020000
Training Epoch: 23 [7936/47500]	Loss: 0.6384	LR: 0.020000
Training Epoch: 23 [8192/47500]	Loss: 0.5342	LR: 0.020000
Training Epoch: 23 [8448/47500]	Loss: 0.5971	LR: 0.020000
Training Epoch: 23 [8704/47500]	Loss: 0.6554	LR: 0.020000
Training Epoch: 23 [8960/47500]	Loss: 0.4781	LR: 0.020000
Training Epoch: 23 [9216/47500]	Loss: 0.5034	LR: 0.020000
Training Epoch: 23 [9472/47500]	Loss: 0.4666	LR: 0.020000
Training Epoch: 23 [9728/47500]	Loss: 0.5999	LR: 0.020000
Training Epoch: 23 [9984/47500]	Loss: 0.5815	LR: 0.020000
Training Epoch: 23 [10240/47500]	Loss: 0.5100	LR: 0.020000
Training Epoch: 23 [10496/47500]	Loss: 0.5473	LR: 0.020000
Training Epoch: 23 [10752/47500]	Loss: 0.5455	LR: 0.020000
Training Epoch: 23 [11008/47500]	Loss: 0.5337	LR: 0.020000
Training Epoch: 23 [11264/47500]	Loss: 0.5952	LR: 0.020000
Training Epoch: 23 [11520/47500]	Loss: 0.4974	LR: 0.020000
Training Epoch: 23 [11776/47500]	Loss: 0.5951	LR: 0.020000
Training Epoch: 23 [12032/47500]	Loss: 0.6014	LR: 0.020000
Training Epoch: 23 [12288/47500]	Loss: 0.4474	LR: 0.020000
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Training Epoch: 23 [12800/47500]	Loss: 0.5946	LR: 0.020000
Training Epoch: 23 [13056/47500]	Loss: 0.6734	LR: 0.020000
Training Epoch: 23 [13312/47500]	Loss: 0.5587	LR: 0.020000
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Training Epoch: 23 [15616/47500]	Loss: 0.5755	LR: 0.020000
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Training Epoch: 23 [16640/47500]	Loss: 0.6065	LR: 0.020000
Training Epoch: 23 [16896/47500]	Loss: 0.6037	LR: 0.020000
Training Epoch: 23 [17152/47500]	Loss: 0.5614	LR: 0.020000
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Training Epoch: 23 [17664/47500]	Loss: 0.5910	LR: 0.020000
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Training Epoch: 23 [18176/47500]	Loss: 0.4918	LR: 0.020000
Training Epoch: 23 [18432/47500]	Loss: 0.6001	LR: 0.020000
Training Epoch: 23 [18688/47500]	Loss: 0.5362	LR: 0.020000
Training Epoch: 23 [18944/47500]	Loss: 0.6076	LR: 0.020000
Training Epoch: 23 [19200/47500]	Loss: 0.5473	LR: 0.020000
Training Epoch: 23 [19456/47500]	Loss: 0.5081	LR: 0.020000
Training Epoch: 23 [19712/47500]	Loss: 0.6184	LR: 0.020000
Training Epoch: 23 [19968/47500]	Loss: 0.5594	LR: 0.020000
Training Epoch: 23 [20224/47500]	Loss: 0.5890	LR: 0.020000
Training Epoch: 23 [20480/47500]	Loss: 0.5081	LR: 0.020000
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Training Epoch: 23 [22016/47500]	Loss: 0.6190	LR: 0.020000
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Training Epoch: 23 [22528/47500]	Loss: 0.5410	LR: 0.020000
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Training Epoch: 23 [26368/47500]	Loss: 0.5160	LR: 0.020000
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Training Epoch: 23 [37888/47500]	Loss: 0.4808	LR: 0.020000
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Training Epoch: 23 [40192/47500]	Loss: 0.4516	LR: 0.020000
Training Epoch: 23 [40448/47500]	Loss: 0.5229	LR: 0.020000
Training Epoch: 23 [40704/47500]	Loss: 0.6866	LR: 0.020000
Training Epoch: 23 [40960/47500]	Loss: 0.5750	LR: 0.020000
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Training Epoch: 23 [42496/47500]	Loss: 0.5887	LR: 0.020000
Training Epoch: 23 [42752/47500]	Loss: 0.5710	LR: 0.020000
Training Epoch: 23 [43008/47500]	Loss: 0.5288	LR: 0.020000
Training Epoch: 23 [43264/47500]	Loss: 0.5663	LR: 0.020000
Training Epoch: 23 [43520/47500]	Loss: 0.5601	LR: 0.020000
Training Epoch: 23 [43776/47500]	Loss: 0.4878	LR: 0.020000
Training Epoch: 23 [44032/47500]	Loss: 0.5199	LR: 0.020000
Training Epoch: 23 [44288/47500]	Loss: 0.5302	LR: 0.020000
Training Epoch: 23 [44544/47500]	Loss: 0.5286	LR: 0.020000
Training Epoch: 23 [44800/47500]	Loss: 0.5268	LR: 0.020000
Training Epoch: 23 [45056/47500]	Loss: 0.5826	LR: 0.020000
Training Epoch: 23 [45312/47500]	Loss: 0.5543	LR: 0.020000
Training Epoch: 23 [45568/47500]	Loss: 0.6870	LR: 0.020000
Training Epoch: 23 [45824/47500]	Loss: 0.6123	LR: 0.020000
Training Epoch: 23 [46080/47500]	Loss: 0.5860	LR: 0.020000
Training Epoch: 23 [46336/47500]	Loss: 0.6639	LR: 0.020000
Training Epoch: 23 [46592/47500]	Loss: 0.5443	LR: 0.020000
Training Epoch: 23 [46848/47500]	Loss: 0.6432	LR: 0.020000
Training Epoch: 23 [47104/47500]	Loss: 0.5934	LR: 0.020000
Training Epoch: 23 [47360/47500]	Loss: 0.5323	LR: 0.020000
Training Epoch: 23 [47500/47500]	Loss: 0.6002	LR: 0.020000
Epoch 23 - Average Train Loss: 0.5684, Train Accuracy: 0.8157
Epoch 23 training time consumed: 25.97s
Evaluating Network.....
Test set: Epoch: 23, Average loss: 0.0035, Accuracy: 0.7415, Time consumed:0.86s
Training Epoch: 24 [256/47500]	Loss: 0.4562	LR: 0.020000
Training Epoch: 24 [512/47500]	Loss: 0.5725	LR: 0.020000
Training Epoch: 24 [768/47500]	Loss: 0.5136	LR: 0.020000
Training Epoch: 24 [1024/47500]	Loss: 0.5771	LR: 0.020000
Training Epoch: 24 [1280/47500]	Loss: 0.4916	LR: 0.020000
Training Epoch: 24 [1536/47500]	Loss: 0.4965	LR: 0.020000
Training Epoch: 24 [1792/47500]	Loss: 0.5251	LR: 0.020000
Training Epoch: 24 [2048/47500]	Loss: 0.5304	LR: 0.020000
Training Epoch: 24 [2304/47500]	Loss: 0.5017	LR: 0.020000
Training Epoch: 24 [2560/47500]	Loss: 0.5387	LR: 0.020000
Training Epoch: 24 [2816/47500]	Loss: 0.5669	LR: 0.020000
Training Epoch: 24 [3072/47500]	Loss: 0.6193	LR: 0.020000
Training Epoch: 24 [3328/47500]	Loss: 0.5848	LR: 0.020000
Training Epoch: 24 [3584/47500]	Loss: 0.5524	LR: 0.020000
Training Epoch: 24 [3840/47500]	Loss: 0.4813	LR: 0.020000
Training Epoch: 24 [4096/47500]	Loss: 0.5466	LR: 0.020000
Training Epoch: 24 [4352/47500]	Loss: 0.5885	LR: 0.020000
Training Epoch: 24 [4608/47500]	Loss: 0.5795	LR: 0.020000
Training Epoch: 24 [4864/47500]	Loss: 0.5523	LR: 0.020000
Training Epoch: 24 [5120/47500]	Loss: 0.5909	LR: 0.020000
Training Epoch: 24 [5376/47500]	Loss: 0.5325	LR: 0.020000
Training Epoch: 24 [5632/47500]	Loss: 0.4032	LR: 0.020000
Training Epoch: 24 [5888/47500]	Loss: 0.5786	LR: 0.020000
Training Epoch: 24 [6144/47500]	Loss: 0.5557	LR: 0.020000
Training Epoch: 24 [6400/47500]	Loss: 0.5316	LR: 0.020000
Training Epoch: 24 [6656/47500]	Loss: 0.5362	LR: 0.020000
Training Epoch: 24 [6912/47500]	Loss: 0.5990	LR: 0.020000
Training Epoch: 24 [7168/47500]	Loss: 0.5136	LR: 0.020000
Training Epoch: 24 [7424/47500]	Loss: 0.5611	LR: 0.020000
Training Epoch: 24 [7680/47500]	Loss: 0.5670	LR: 0.020000
Training Epoch: 24 [7936/47500]	Loss: 0.5484	LR: 0.020000
Training Epoch: 24 [8192/47500]	Loss: 0.5523	LR: 0.020000
Training Epoch: 24 [8448/47500]	Loss: 0.5144	LR: 0.020000
Training Epoch: 24 [8704/47500]	Loss: 0.5306	LR: 0.020000
Training Epoch: 24 [8960/47500]	Loss: 0.5701	LR: 0.020000
Training Epoch: 24 [9216/47500]	Loss: 0.4883	LR: 0.020000
Training Epoch: 24 [9472/47500]	Loss: 0.5535	LR: 0.020000
Training Epoch: 24 [9728/47500]	Loss: 0.5894	LR: 0.020000
Training Epoch: 24 [9984/47500]	Loss: 0.5855	LR: 0.020000
Training Epoch: 24 [10240/47500]	Loss: 0.5734	LR: 0.020000
Training Epoch: 24 [10496/47500]	Loss: 0.5350	LR: 0.020000
Training Epoch: 24 [10752/47500]	Loss: 0.5495	LR: 0.020000
Training Epoch: 24 [11008/47500]	Loss: 0.5562	LR: 0.020000
Training Epoch: 24 [11264/47500]	Loss: 0.5274	LR: 0.020000
Training Epoch: 24 [11520/47500]	Loss: 0.5884	LR: 0.020000
Training Epoch: 24 [11776/47500]	Loss: 0.6107	LR: 0.020000
Training Epoch: 24 [12032/47500]	Loss: 0.6241	LR: 0.020000
Training Epoch: 24 [12288/47500]	Loss: 0.4408	LR: 0.020000
Training Epoch: 24 [12544/47500]	Loss: 0.5081	LR: 0.020000
Training Epoch: 24 [12800/47500]	Loss: 0.5554	LR: 0.020000
Training Epoch: 24 [13056/47500]	Loss: 0.6110	LR: 0.020000
Training Epoch: 24 [13312/47500]	Loss: 0.5619	LR: 0.020000
Training Epoch: 24 [13568/47500]	Loss: 0.4587	LR: 0.020000
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Training Epoch: 24 [14336/47500]	Loss: 0.5578	LR: 0.020000
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Training Epoch: 24 [14848/47500]	Loss: 0.5688	LR: 0.020000
Training Epoch: 24 [15104/47500]	Loss: 0.5777	LR: 0.020000
Training Epoch: 24 [15360/47500]	Loss: 0.5891	LR: 0.020000
Training Epoch: 24 [15616/47500]	Loss: 0.5806	LR: 0.020000
Training Epoch: 24 [15872/47500]	Loss: 0.5660	LR: 0.020000
Training Epoch: 24 [16128/47500]	Loss: 0.6633	LR: 0.020000
Training Epoch: 24 [16384/47500]	Loss: 0.4826	LR: 0.020000
Training Epoch: 24 [16640/47500]	Loss: 0.5660	LR: 0.020000
Training Epoch: 24 [16896/47500]	Loss: 0.6751	LR: 0.020000
Training Epoch: 24 [17152/47500]	Loss: 0.4668	LR: 0.020000
Training Epoch: 24 [17408/47500]	Loss: 0.5675	LR: 0.020000
Training Epoch: 24 [17664/47500]	Loss: 0.5381	LR: 0.020000
Training Epoch: 24 [17920/47500]	Loss: 0.5065	LR: 0.020000
Training Epoch: 24 [18176/47500]	Loss: 0.4873	LR: 0.020000
Training Epoch: 24 [18432/47500]	Loss: 0.5849	LR: 0.020000
Training Epoch: 24 [18688/47500]	Loss: 0.4854	LR: 0.020000
Training Epoch: 24 [18944/47500]	Loss: 0.5331	LR: 0.020000
Training Epoch: 24 [19200/47500]	Loss: 0.4852	LR: 0.020000
Training Epoch: 24 [19456/47500]	Loss: 0.4703	LR: 0.020000
Training Epoch: 24 [19712/47500]	Loss: 0.4926	LR: 0.020000
Training Epoch: 24 [19968/47500]	Loss: 0.4956	LR: 0.020000
Training Epoch: 24 [20224/47500]	Loss: 0.4960	LR: 0.020000
Training Epoch: 24 [20480/47500]	Loss: 0.5767	LR: 0.020000
Training Epoch: 24 [20736/47500]	Loss: 0.5474	LR: 0.020000
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Training Epoch: 24 [21504/47500]	Loss: 0.5421	LR: 0.020000
Training Epoch: 24 [21760/47500]	Loss: 0.6522	LR: 0.020000
Training Epoch: 24 [22016/47500]	Loss: 0.5804	LR: 0.020000
Training Epoch: 24 [22272/47500]	Loss: 0.5821	LR: 0.020000
Training Epoch: 24 [22528/47500]	Loss: 0.4793	LR: 0.020000
Training Epoch: 24 [22784/47500]	Loss: 0.6583	LR: 0.020000
Training Epoch: 24 [23040/47500]	Loss: 0.5784	LR: 0.020000
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Training Epoch: 24 [40192/47500]	Loss: 0.5025	LR: 0.020000
Training Epoch: 24 [40448/47500]	Loss: 0.6365	LR: 0.020000
Training Epoch: 24 [40704/47500]	Loss: 0.5567	LR: 0.020000
Training Epoch: 24 [40960/47500]	Loss: 0.7012	LR: 0.020000
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Training Epoch: 24 [41472/47500]	Loss: 0.6539	LR: 0.020000
Training Epoch: 24 [41728/47500]	Loss: 0.5153	LR: 0.020000
Training Epoch: 24 [41984/47500]	Loss: 0.5352	LR: 0.020000
Training Epoch: 24 [42240/47500]	Loss: 0.5170	LR: 0.020000
Training Epoch: 24 [42496/47500]	Loss: 0.6528	LR: 0.020000
Training Epoch: 24 [42752/47500]	Loss: 0.5615	LR: 0.020000
Training Epoch: 24 [43008/47500]	Loss: 0.6572	LR: 0.020000
Training Epoch: 24 [43264/47500]	Loss: 0.5557	LR: 0.020000
Training Epoch: 24 [43520/47500]	Loss: 0.7276	LR: 0.020000
Training Epoch: 24 [43776/47500]	Loss: 0.5106	LR: 0.020000
Training Epoch: 24 [44032/47500]	Loss: 0.5484	LR: 0.020000
Training Epoch: 24 [44288/47500]	Loss: 0.4733	LR: 0.020000
Training Epoch: 24 [44544/47500]	Loss: 0.5535	LR: 0.020000
Training Epoch: 24 [44800/47500]	Loss: 0.5586	LR: 0.020000
Training Epoch: 24 [45056/47500]	Loss: 0.6325	LR: 0.020000
Training Epoch: 24 [45312/47500]	Loss: 0.6087	LR: 0.020000
Training Epoch: 24 [45568/47500]	Loss: 0.6437	LR: 0.020000
Training Epoch: 24 [45824/47500]	Loss: 0.6069	LR: 0.020000
Training Epoch: 24 [46080/47500]	Loss: 0.5906	LR: 0.020000
Training Epoch: 24 [46336/47500]	Loss: 0.6204	LR: 0.020000
Training Epoch: 24 [46592/47500]	Loss: 0.6810	LR: 0.020000
Training Epoch: 24 [46848/47500]	Loss: 0.6276	LR: 0.020000
Training Epoch: 24 [47104/47500]	Loss: 0.6661	LR: 0.020000
Training Epoch: 24 [47360/47500]	Loss: 0.5410	LR: 0.020000
Training Epoch: 24 [47500/47500]	Loss: 0.4511	LR: 0.020000
Epoch 24 - Average Train Loss: 0.5567, Train Accuracy: 0.8203
Epoch 24 training time consumed: 25.90s
Evaluating Network.....
Test set: Epoch: 24, Average loss: 0.0036, Accuracy: 0.7313, Time consumed:0.92s
Training Epoch: 25 [256/47500]	Loss: 0.5296	LR: 0.020000
Training Epoch: 25 [512/47500]	Loss: 0.4485	LR: 0.020000
Training Epoch: 25 [768/47500]	Loss: 0.4478	LR: 0.020000
Training Epoch: 25 [1024/47500]	Loss: 0.4799	LR: 0.020000
Training Epoch: 25 [1280/47500]	Loss: 0.5859	LR: 0.020000
Training Epoch: 25 [1536/47500]	Loss: 0.5758	LR: 0.020000
Training Epoch: 25 [1792/47500]	Loss: 0.4493	LR: 0.020000
Training Epoch: 25 [2048/47500]	Loss: 0.5455	LR: 0.020000
Training Epoch: 25 [2304/47500]	Loss: 0.4831	LR: 0.020000
Training Epoch: 25 [2560/47500]	Loss: 0.5268	LR: 0.020000
Training Epoch: 25 [2816/47500]	Loss: 0.5820	LR: 0.020000
Training Epoch: 25 [3072/47500]	Loss: 0.5416	LR: 0.020000
Training Epoch: 25 [3328/47500]	Loss: 0.5397	LR: 0.020000
Training Epoch: 25 [3584/47500]	Loss: 0.5345	LR: 0.020000
Training Epoch: 25 [3840/47500]	Loss: 0.4930	LR: 0.020000
Training Epoch: 25 [4096/47500]	Loss: 0.4876	LR: 0.020000
Training Epoch: 25 [4352/47500]	Loss: 0.4760	LR: 0.020000
Training Epoch: 25 [4608/47500]	Loss: 0.6211	LR: 0.020000
Training Epoch: 25 [4864/47500]	Loss: 0.4645	LR: 0.020000
Training Epoch: 25 [5120/47500]	Loss: 0.5302	LR: 0.020000
Training Epoch: 25 [5376/47500]	Loss: 0.5326	LR: 0.020000
Training Epoch: 25 [5632/47500]	Loss: 0.4904	LR: 0.020000
Training Epoch: 25 [5888/47500]	Loss: 0.5252	LR: 0.020000
Training Epoch: 25 [6144/47500]	Loss: 0.5060	LR: 0.020000
Training Epoch: 25 [6400/47500]	Loss: 0.4992	LR: 0.020000
Training Epoch: 25 [6656/47500]	Loss: 0.5325	LR: 0.020000
Training Epoch: 25 [6912/47500]	Loss: 0.4916	LR: 0.020000
Training Epoch: 25 [7168/47500]	Loss: 0.5854	LR: 0.020000
Training Epoch: 25 [7424/47500]	Loss: 0.5964	LR: 0.020000
Training Epoch: 25 [7680/47500]	Loss: 0.5083	LR: 0.020000
Training Epoch: 25 [7936/47500]	Loss: 0.4785	LR: 0.020000
Training Epoch: 25 [8192/47500]	Loss: 0.5120	LR: 0.020000
Training Epoch: 25 [8448/47500]	Loss: 0.5526	LR: 0.020000
Training Epoch: 25 [8704/47500]	Loss: 0.5261	LR: 0.020000
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Training Epoch: 25 [10240/47500]	Loss: 0.4565	LR: 0.020000
Training Epoch: 25 [10496/47500]	Loss: 0.4789	LR: 0.020000
Training Epoch: 25 [10752/47500]	Loss: 0.5709	LR: 0.020000
Training Epoch: 25 [11008/47500]	Loss: 0.5670	LR: 0.020000
Training Epoch: 25 [11264/47500]	Loss: 0.5976	LR: 0.020000
Training Epoch: 25 [11520/47500]	Loss: 0.6166	LR: 0.020000
Training Epoch: 25 [11776/47500]	Loss: 0.4605	LR: 0.020000
Training Epoch: 25 [12032/47500]	Loss: 0.6623	LR: 0.020000
Training Epoch: 25 [12288/47500]	Loss: 0.4384	LR: 0.020000
Training Epoch: 25 [12544/47500]	Loss: 0.5465	LR: 0.020000
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Training Epoch: 25 [13568/47500]	Loss: 0.5717	LR: 0.020000
Training Epoch: 25 [13824/47500]	Loss: 0.4610	LR: 0.020000
Training Epoch: 25 [14080/47500]	Loss: 0.5736	LR: 0.020000
Training Epoch: 25 [14336/47500]	Loss: 0.4851	LR: 0.020000
Training Epoch: 25 [14592/47500]	Loss: 0.5522	LR: 0.020000
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Training Epoch: 25 [15104/47500]	Loss: 0.6288	LR: 0.020000
Training Epoch: 25 [15360/47500]	Loss: 0.6571	LR: 0.020000
Training Epoch: 25 [15616/47500]	Loss: 0.4581	LR: 0.020000
Training Epoch: 25 [15872/47500]	Loss: 0.5312	LR: 0.020000
Training Epoch: 25 [16128/47500]	Loss: 0.5530	LR: 0.020000
Training Epoch: 25 [16384/47500]	Loss: 0.5901	LR: 0.020000
Training Epoch: 25 [16640/47500]	Loss: 0.5101	LR: 0.020000
Training Epoch: 25 [16896/47500]	Loss: 0.4984	LR: 0.020000
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Training Epoch: 25 [17664/47500]	Loss: 0.4635	LR: 0.020000
Training Epoch: 25 [17920/47500]	Loss: 0.6276	LR: 0.020000
Training Epoch: 25 [18176/47500]	Loss: 0.5693	LR: 0.020000
Training Epoch: 25 [18432/47500]	Loss: 0.5427	LR: 0.020000
Training Epoch: 25 [18688/47500]	Loss: 0.6178	LR: 0.020000
Training Epoch: 25 [18944/47500]	Loss: 0.5231	LR: 0.020000
Training Epoch: 25 [19200/47500]	Loss: 0.5375	LR: 0.020000
Training Epoch: 25 [19456/47500]	Loss: 0.5976	LR: 0.020000
Training Epoch: 25 [19712/47500]	Loss: 0.4952	LR: 0.020000
Training Epoch: 25 [19968/47500]	Loss: 0.4446	LR: 0.020000
Training Epoch: 25 [20224/47500]	Loss: 0.5540	LR: 0.020000
Training Epoch: 25 [20480/47500]	Loss: 0.5803	LR: 0.020000
Training Epoch: 25 [20736/47500]	Loss: 0.6010	LR: 0.020000
Training Epoch: 25 [20992/47500]	Loss: 0.6220	LR: 0.020000
Training Epoch: 25 [21248/47500]	Loss: 0.4716	LR: 0.020000
Training Epoch: 25 [21504/47500]	Loss: 0.6353	LR: 0.020000
Training Epoch: 25 [21760/47500]	Loss: 0.4617	LR: 0.020000
Training Epoch: 25 [22016/47500]	Loss: 0.5738	LR: 0.020000
Training Epoch: 25 [22272/47500]	Loss: 0.5079	LR: 0.020000
Training Epoch: 25 [22528/47500]	Loss: 0.5591	LR: 0.020000
Training Epoch: 25 [22784/47500]	Loss: 0.4970	LR: 0.020000
Training Epoch: 25 [23040/47500]	Loss: 0.4753	LR: 0.020000
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Training Epoch: 25 [23808/47500]	Loss: 0.5089	LR: 0.020000
Training Epoch: 25 [24064/47500]	Loss: 0.4707	LR: 0.020000
Training Epoch: 25 [24320/47500]	Loss: 0.4761	LR: 0.020000
Training Epoch: 25 [24576/47500]	Loss: 0.4653	LR: 0.020000
Training Epoch: 25 [24832/47500]	Loss: 0.4292	LR: 0.020000
Training Epoch: 25 [25088/47500]	Loss: 0.5799	LR: 0.020000
Training Epoch: 25 [25344/47500]	Loss: 0.6385	LR: 0.020000
Training Epoch: 25 [25600/47500]	Loss: 0.4794	LR: 0.020000
Training Epoch: 25 [25856/47500]	Loss: 0.5338	LR: 0.020000
Training Epoch: 25 [26112/47500]	Loss: 0.5635	LR: 0.020000
Training Epoch: 25 [26368/47500]	Loss: 0.5954	LR: 0.020000
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Training Epoch: 25 [27392/47500]	Loss: 0.4919	LR: 0.020000
Training Epoch: 25 [27648/47500]	Loss: 0.4533	LR: 0.020000
Training Epoch: 25 [27904/47500]	Loss: 0.5372	LR: 0.020000
Training Epoch: 25 [28160/47500]	Loss: 0.7569	LR: 0.020000
Training Epoch: 25 [28416/47500]	Loss: 0.5625	LR: 0.020000
Training Epoch: 25 [28672/47500]	Loss: 0.4973	LR: 0.020000
Training Epoch: 25 [28928/47500]	Loss: 0.6881	LR: 0.020000
Training Epoch: 25 [29184/47500]	Loss: 0.5680	LR: 0.020000
Training Epoch: 25 [29440/47500]	Loss: 0.5259	LR: 0.020000
Training Epoch: 25 [29696/47500]	Loss: 0.5725	LR: 0.020000
Training Epoch: 25 [29952/47500]	Loss: 0.4957	LR: 0.020000
Training Epoch: 25 [30208/47500]	Loss: 0.5511	LR: 0.020000
Training Epoch: 25 [30464/47500]	Loss: 0.6385	LR: 0.020000
Training Epoch: 25 [30720/47500]	Loss: 0.6079	LR: 0.020000
Training Epoch: 25 [30976/47500]	Loss: 0.5889	LR: 0.020000
Training Epoch: 25 [31232/47500]	Loss: 0.4915	LR: 0.020000
Training Epoch: 25 [31488/47500]	Loss: 0.5482	LR: 0.020000
Training Epoch: 25 [31744/47500]	Loss: 0.5656	LR: 0.020000
Training Epoch: 25 [32000/47500]	Loss: 0.4921	LR: 0.020000
Training Epoch: 25 [32256/47500]	Loss: 0.5488	LR: 0.020000
Training Epoch: 25 [32512/47500]	Loss: 0.4621	LR: 0.020000
Training Epoch: 25 [32768/47500]	Loss: 0.4556	LR: 0.020000
Training Epoch: 25 [33024/47500]	Loss: 0.6771	LR: 0.020000
Training Epoch: 25 [33280/47500]	Loss: 0.4635	LR: 0.020000
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Training Epoch: 25 [34560/47500]	Loss: 0.5365	LR: 0.020000
Training Epoch: 25 [34816/47500]	Loss: 0.6090	LR: 0.020000
Training Epoch: 25 [35072/47500]	Loss: 0.5677	LR: 0.020000
Training Epoch: 25 [35328/47500]	Loss: 0.3855	LR: 0.020000
Training Epoch: 25 [35584/47500]	Loss: 0.6301	LR: 0.020000
Training Epoch: 25 [35840/47500]	Loss: 0.6105	LR: 0.020000
Training Epoch: 25 [36096/47500]	Loss: 0.5405	LR: 0.020000
Training Epoch: 25 [36352/47500]	Loss: 0.5595	LR: 0.020000
Training Epoch: 25 [36608/47500]	Loss: 0.5383	LR: 0.020000
Training Epoch: 25 [36864/47500]	Loss: 0.4904	LR: 0.020000
Training Epoch: 25 [37120/47500]	Loss: 0.5589	LR: 0.020000
Training Epoch: 25 [37376/47500]	Loss: 0.5181	LR: 0.020000
Training Epoch: 25 [37632/47500]	Loss: 0.5826	LR: 0.020000
Training Epoch: 25 [37888/47500]	Loss: 0.5888	LR: 0.020000
Training Epoch: 25 [38144/47500]	Loss: 0.5585	LR: 0.020000
Training Epoch: 25 [38400/47500]	Loss: 0.5649	LR: 0.020000
Training Epoch: 25 [38656/47500]	Loss: 0.5394	LR: 0.020000
Training Epoch: 25 [38912/47500]	Loss: 0.6241	LR: 0.020000
Training Epoch: 25 [39168/47500]	Loss: 0.5779	LR: 0.020000
Training Epoch: 25 [39424/47500]	Loss: 0.5736	LR: 0.020000
Training Epoch: 25 [39680/47500]	Loss: 0.5932	LR: 0.020000
Training Epoch: 25 [39936/47500]	Loss: 0.6382	LR: 0.020000
Training Epoch: 25 [40192/47500]	Loss: 0.5201	LR: 0.020000
Training Epoch: 25 [40448/47500]	Loss: 0.4914	LR: 0.020000
Training Epoch: 25 [40704/47500]	Loss: 0.5769	LR: 0.020000
Training Epoch: 25 [40960/47500]	Loss: 0.5210	LR: 0.020000
Training Epoch: 25 [41216/47500]	Loss: 0.4898	LR: 0.020000
Training Epoch: 25 [41472/47500]	Loss: 0.6166	LR: 0.020000
Training Epoch: 25 [41728/47500]	Loss: 0.7085	LR: 0.020000
Training Epoch: 25 [41984/47500]	Loss: 0.5500	LR: 0.020000
Training Epoch: 25 [42240/47500]	Loss: 0.5011	LR: 0.020000
Training Epoch: 25 [42496/47500]	Loss: 0.5130	LR: 0.020000
Training Epoch: 25 [42752/47500]	Loss: 0.5446	LR: 0.020000
Training Epoch: 25 [43008/47500]	Loss: 0.6312	LR: 0.020000
Training Epoch: 25 [43264/47500]	Loss: 0.5645	LR: 0.020000
Training Epoch: 25 [43520/47500]	Loss: 0.6124	LR: 0.020000
Training Epoch: 25 [43776/47500]	Loss: 0.5097	LR: 0.020000
Training Epoch: 25 [44032/47500]	Loss: 0.5474	LR: 0.020000
Training Epoch: 25 [44288/47500]	Loss: 0.5682	LR: 0.020000
Training Epoch: 25 [44544/47500]	Loss: 0.5628	LR: 0.020000
Training Epoch: 25 [44800/47500]	Loss: 0.6659	LR: 0.020000
Training Epoch: 25 [45056/47500]	Loss: 0.5820	LR: 0.020000
Training Epoch: 25 [45312/47500]	Loss: 0.4861	LR: 0.020000
Training Epoch: 25 [45568/47500]	Loss: 0.6016	LR: 0.020000
Training Epoch: 25 [45824/47500]	Loss: 0.5449	LR: 0.020000
Training Epoch: 25 [46080/47500]	Loss: 0.5933	LR: 0.020000
Training Epoch: 25 [46336/47500]	Loss: 0.6033	LR: 0.020000
Training Epoch: 25 [46592/47500]	Loss: 0.6208	LR: 0.020000
Training Epoch: 25 [46848/47500]	Loss: 0.5788	LR: 0.020000
Training Epoch: 25 [47104/47500]	Loss: 0.6278	LR: 0.020000
Training Epoch: 25 [47360/47500]	Loss: 0.5797	LR: 0.020000
Training Epoch: 25 [47500/47500]	Loss: 0.5827	LR: 0.020000
Epoch 25 - Average Train Loss: 0.5447, Train Accuracy: 0.8210
Epoch 25 training time consumed: 25.96s
Evaluating Network.....
Test set: Epoch: 25, Average loss: 0.0035, Accuracy: 0.7304, Time consumed:0.89s
Training Epoch: 26 [256/47500]	Loss: 0.5327	LR: 0.020000
Training Epoch: 26 [512/47500]	Loss: 0.5305	LR: 0.020000
Training Epoch: 26 [768/47500]	Loss: 0.4864	LR: 0.020000
Training Epoch: 26 [1024/47500]	Loss: 0.5914	LR: 0.020000
Training Epoch: 26 [1280/47500]	Loss: 0.5249	LR: 0.020000
Training Epoch: 26 [1536/47500]	Loss: 0.5054	LR: 0.020000
Training Epoch: 26 [1792/47500]	Loss: 0.4553	LR: 0.020000
Training Epoch: 26 [2048/47500]	Loss: 0.4862	LR: 0.020000
Training Epoch: 26 [2304/47500]	Loss: 0.4397	LR: 0.020000
Training Epoch: 26 [2560/47500]	Loss: 0.5697	LR: 0.020000
Training Epoch: 26 [2816/47500]	Loss: 0.6590	LR: 0.020000
Training Epoch: 26 [3072/47500]	Loss: 0.5265	LR: 0.020000
Training Epoch: 26 [3328/47500]	Loss: 0.4648	LR: 0.020000
Training Epoch: 26 [3584/47500]	Loss: 0.6775	LR: 0.020000
Training Epoch: 26 [3840/47500]	Loss: 0.5451	LR: 0.020000
Training Epoch: 26 [4096/47500]	Loss: 0.4851	LR: 0.020000
Training Epoch: 26 [4352/47500]	Loss: 0.5144	LR: 0.020000
Training Epoch: 26 [4608/47500]	Loss: 0.5231	LR: 0.020000
Training Epoch: 26 [4864/47500]	Loss: 0.3977	LR: 0.020000
Training Epoch: 26 [5120/47500]	Loss: 0.6498	LR: 0.020000
Training Epoch: 26 [5376/47500]	Loss: 0.5124	LR: 0.020000
Training Epoch: 26 [5632/47500]	Loss: 0.5097	LR: 0.020000
Training Epoch: 26 [5888/47500]	Loss: 0.5616	LR: 0.020000
Training Epoch: 26 [6144/47500]	Loss: 0.3929	LR: 0.020000
Training Epoch: 26 [6400/47500]	Loss: 0.5210	LR: 0.020000
Training Epoch: 26 [6656/47500]	Loss: 0.5810	LR: 0.020000
Training Epoch: 26 [6912/47500]	Loss: 0.4176	LR: 0.020000
Training Epoch: 26 [7168/47500]	Loss: 0.6207	LR: 0.020000
Training Epoch: 26 [7424/47500]	Loss: 0.5521	LR: 0.020000
Training Epoch: 26 [7680/47500]	Loss: 0.4572	LR: 0.020000
Training Epoch: 26 [7936/47500]	Loss: 0.6429	LR: 0.020000
Training Epoch: 26 [8192/47500]	Loss: 0.4842	LR: 0.020000
Training Epoch: 26 [8448/47500]	Loss: 0.4603	LR: 0.020000
Training Epoch: 26 [8704/47500]	Loss: 0.5037	LR: 0.020000
Training Epoch: 26 [8960/47500]	Loss: 0.5216	LR: 0.020000
Training Epoch: 26 [9216/47500]	Loss: 0.5419	LR: 0.020000
Training Epoch: 26 [9472/47500]	Loss: 0.5294	LR: 0.020000
Training Epoch: 26 [9728/47500]	Loss: 0.5956	LR: 0.020000
Training Epoch: 26 [9984/47500]	Loss: 0.5215	LR: 0.020000
Training Epoch: 26 [10240/47500]	Loss: 0.4824	LR: 0.020000
Training Epoch: 26 [10496/47500]	Loss: 0.4267	LR: 0.020000
Training Epoch: 26 [10752/47500]	Loss: 0.5673	LR: 0.020000
Training Epoch: 26 [11008/47500]	Loss: 0.5328	LR: 0.020000
Training Epoch: 26 [11264/47500]	Loss: 0.6160	LR: 0.020000
Training Epoch: 26 [11520/47500]	Loss: 0.5794	LR: 0.020000
Training Epoch: 26 [11776/47500]	Loss: 0.5288	LR: 0.020000
Training Epoch: 26 [12032/47500]	Loss: 0.4942	LR: 0.020000
Training Epoch: 26 [12288/47500]	Loss: 0.4818	LR: 0.020000
Training Epoch: 26 [12544/47500]	Loss: 0.4247	LR: 0.020000
Training Epoch: 26 [12800/47500]	Loss: 0.4948	LR: 0.020000
Training Epoch: 26 [13056/47500]	Loss: 0.5162	LR: 0.020000
Training Epoch: 26 [13312/47500]	Loss: 0.5566	LR: 0.020000
Training Epoch: 26 [13568/47500]	Loss: 0.4370	LR: 0.020000
Training Epoch: 26 [13824/47500]	Loss: 0.6495	LR: 0.020000
Training Epoch: 26 [14080/47500]	Loss: 0.4930	LR: 0.020000
Training Epoch: 26 [14336/47500]	Loss: 0.4964	LR: 0.020000
Training Epoch: 26 [14592/47500]	Loss: 0.4189	LR: 0.020000
Training Epoch: 26 [14848/47500]	Loss: 0.5467	LR: 0.020000
Training Epoch: 26 [15104/47500]	Loss: 0.5307	LR: 0.020000
Training Epoch: 26 [15360/47500]	Loss: 0.5446	LR: 0.020000
Training Epoch: 26 [15616/47500]	Loss: 0.5275	LR: 0.020000
Training Epoch: 26 [15872/47500]	Loss: 0.5298	LR: 0.020000
Training Epoch: 26 [16128/47500]	Loss: 0.4488	LR: 0.020000
Training Epoch: 26 [16384/47500]	Loss: 0.5253	LR: 0.020000
Training Epoch: 26 [16640/47500]	Loss: 0.4900	LR: 0.020000
Training Epoch: 26 [16896/47500]	Loss: 0.5443	LR: 0.020000
Training Epoch: 26 [17152/47500]	Loss: 0.5823	LR: 0.020000
Training Epoch: 26 [17408/47500]	Loss: 0.5502	LR: 0.020000
Training Epoch: 26 [17664/47500]	Loss: 0.4786	LR: 0.020000
Training Epoch: 26 [17920/47500]	Loss: 0.5343	LR: 0.020000
Training Epoch: 26 [18176/47500]	Loss: 0.4575	LR: 0.020000
Training Epoch: 26 [18432/47500]	Loss: 0.5630	LR: 0.020000
Training Epoch: 26 [18688/47500]	Loss: 0.5722	LR: 0.020000
Training Epoch: 26 [18944/47500]	Loss: 0.4306	LR: 0.020000
Training Epoch: 26 [19200/47500]	Loss: 0.4621	LR: 0.020000
Training Epoch: 26 [19456/47500]	Loss: 0.4964	LR: 0.020000
Training Epoch: 26 [19712/47500]	Loss: 0.4360	LR: 0.020000
Training Epoch: 26 [19968/47500]	Loss: 0.4507	LR: 0.020000
Training Epoch: 26 [20224/47500]	Loss: 0.5372	LR: 0.020000
Training Epoch: 26 [20480/47500]	Loss: 0.5580	LR: 0.020000
Training Epoch: 26 [20736/47500]	Loss: 0.4943	LR: 0.020000
Training Epoch: 26 [20992/47500]	Loss: 0.4969	LR: 0.020000
Training Epoch: 26 [21248/47500]	Loss: 0.6085	LR: 0.020000
Training Epoch: 26 [21504/47500]	Loss: 0.4609	LR: 0.020000
Training Epoch: 26 [21760/47500]	Loss: 0.4735	LR: 0.020000
Training Epoch: 26 [22016/47500]	Loss: 0.4712	LR: 0.020000
Training Epoch: 26 [22272/47500]	Loss: 0.5257	LR: 0.020000
Training Epoch: 26 [22528/47500]	Loss: 0.4165	LR: 0.020000
Training Epoch: 26 [22784/47500]	Loss: 0.5319	LR: 0.020000
Training Epoch: 26 [23040/47500]	Loss: 0.6157	LR: 0.020000
Training Epoch: 26 [23296/47500]	Loss: 0.5079	LR: 0.020000
Training Epoch: 26 [23552/47500]	Loss: 0.6066	LR: 0.020000
Training Epoch: 26 [23808/47500]	Loss: 0.5512	LR: 0.020000
Training Epoch: 26 [24064/47500]	Loss: 0.4907	LR: 0.020000
Training Epoch: 26 [24320/47500]	Loss: 0.5884	LR: 0.020000
Training Epoch: 26 [24576/47500]	Loss: 0.5639	LR: 0.020000
Training Epoch: 26 [24832/47500]	Loss: 0.4653	LR: 0.020000
Training Epoch: 26 [25088/47500]	Loss: 0.6339	LR: 0.020000
Training Epoch: 26 [25344/47500]	Loss: 0.6451	LR: 0.020000
Training Epoch: 26 [25600/47500]	Loss: 0.6312	LR: 0.020000
Training Epoch: 26 [25856/47500]	Loss: 0.5544	LR: 0.020000
Training Epoch: 26 [26112/47500]	Loss: 0.5811	LR: 0.020000
Training Epoch: 26 [26368/47500]	Loss: 0.4814	LR: 0.020000
Training Epoch: 26 [26624/47500]	Loss: 0.6092	LR: 0.020000
Training Epoch: 26 [26880/47500]	Loss: 0.5505	LR: 0.020000
Training Epoch: 26 [27136/47500]	Loss: 0.6171	LR: 0.020000
Training Epoch: 26 [27392/47500]	Loss: 0.5045	LR: 0.020000
Training Epoch: 26 [27648/47500]	Loss: 0.4516	LR: 0.020000
Training Epoch: 26 [27904/47500]	Loss: 0.5480	LR: 0.020000
Training Epoch: 26 [28160/47500]	Loss: 0.4808	LR: 0.020000
Training Epoch: 26 [28416/47500]	Loss: 0.5590	LR: 0.020000
Training Epoch: 26 [28672/47500]	Loss: 0.5494	LR: 0.020000
Training Epoch: 26 [28928/47500]	Loss: 0.4662	LR: 0.020000
Training Epoch: 26 [29184/47500]	Loss: 0.5448	LR: 0.020000
Training Epoch: 26 [29440/47500]	Loss: 0.5849	LR: 0.020000
Training Epoch: 26 [29696/47500]	Loss: 0.5326	LR: 0.020000
Training Epoch: 26 [29952/47500]	Loss: 0.5960	LR: 0.020000
Training Epoch: 26 [30208/47500]	Loss: 0.5231	LR: 0.020000
Training Epoch: 26 [30464/47500]	Loss: 0.5290	LR: 0.020000
Training Epoch: 26 [30720/47500]	Loss: 0.5187	LR: 0.020000
Training Epoch: 26 [30976/47500]	Loss: 0.5346	LR: 0.020000
Training Epoch: 26 [31232/47500]	Loss: 0.6689	LR: 0.020000
Training Epoch: 26 [31488/47500]	Loss: 0.4911	LR: 0.020000
Training Epoch: 26 [31744/47500]	Loss: 0.5656	LR: 0.020000
Training Epoch: 26 [32000/47500]	Loss: 0.6162	LR: 0.020000
Training Epoch: 26 [32256/47500]	Loss: 0.5363	LR: 0.020000
Training Epoch: 26 [32512/47500]	Loss: 0.4048	LR: 0.020000
Training Epoch: 26 [32768/47500]	Loss: 0.5359	LR: 0.020000
Training Epoch: 26 [33024/47500]	Loss: 0.5864	LR: 0.020000
Training Epoch: 26 [33280/47500]	Loss: 0.6350	LR: 0.020000
Training Epoch: 26 [33536/47500]	Loss: 0.5852	LR: 0.020000
Training Epoch: 26 [33792/47500]	Loss: 0.5292	LR: 0.020000
Training Epoch: 26 [34048/47500]	Loss: 0.5058	LR: 0.020000
Training Epoch: 26 [34304/47500]	Loss: 0.5614	LR: 0.020000
Training Epoch: 26 [34560/47500]	Loss: 0.6083	LR: 0.020000
Training Epoch: 26 [34816/47500]	Loss: 0.5254	LR: 0.020000
Training Epoch: 26 [35072/47500]	Loss: 0.5017	LR: 0.020000
Training Epoch: 26 [35328/47500]	Loss: 0.5160	LR: 0.020000
Training Epoch: 26 [35584/47500]	Loss: 0.4502	LR: 0.020000
Training Epoch: 26 [35840/47500]	Loss: 0.5196	LR: 0.020000
Training Epoch: 26 [36096/47500]	Loss: 0.6137	LR: 0.020000
Training Epoch: 26 [36352/47500]	Loss: 0.5726	LR: 0.020000
Training Epoch: 26 [36608/47500]	Loss: 0.5705	LR: 0.020000
Training Epoch: 26 [36864/47500]	Loss: 0.6203	LR: 0.020000
Training Epoch: 26 [37120/47500]	Loss: 0.5745	LR: 0.020000
Training Epoch: 26 [37376/47500]	Loss: 0.5071	LR: 0.020000
Training Epoch: 26 [37632/47500]	Loss: 0.5520	LR: 0.020000
Training Epoch: 26 [37888/47500]	Loss: 0.4347	LR: 0.020000
Training Epoch: 26 [38144/47500]	Loss: 0.5768	LR: 0.020000
Training Epoch: 26 [38400/47500]	Loss: 0.5841	LR: 0.020000
Training Epoch: 26 [38656/47500]	Loss: 0.6667	LR: 0.020000
Training Epoch: 26 [38912/47500]	Loss: 0.5454	LR: 0.020000
Training Epoch: 26 [39168/47500]	Loss: 0.6061	LR: 0.020000
Training Epoch: 26 [39424/47500]	Loss: 0.6284	LR: 0.020000
Training Epoch: 26 [39680/47500]	Loss: 0.5088	LR: 0.020000
Training Epoch: 26 [39936/47500]	Loss: 0.6030	LR: 0.020000
Training Epoch: 26 [40192/47500]	Loss: 0.4435	LR: 0.020000
Training Epoch: 26 [40448/47500]	Loss: 0.5352	LR: 0.020000
Training Epoch: 26 [40704/47500]	Loss: 0.5510	LR: 0.020000
Training Epoch: 26 [40960/47500]	Loss: 0.5759	LR: 0.020000
Training Epoch: 26 [41216/47500]	Loss: 0.6235	LR: 0.020000
Training Epoch: 26 [41472/47500]	Loss: 0.5144	LR: 0.020000
Training Epoch: 26 [41728/47500]	Loss: 0.6707	LR: 0.020000
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Training Epoch: 26 [43520/47500]	Loss: 0.4722	LR: 0.020000
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Training Epoch: 26 [44800/47500]	Loss: 0.4716	LR: 0.020000
Training Epoch: 26 [45056/47500]	Loss: 0.5741	LR: 0.020000
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Training Epoch: 26 [46336/47500]	Loss: 0.5973	LR: 0.020000
Training Epoch: 26 [46592/47500]	Loss: 0.4668	LR: 0.020000
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Training Epoch: 26 [47360/47500]	Loss: 0.5565	LR: 0.020000
Training Epoch: 26 [47500/47500]	Loss: 0.5615	LR: 0.020000
Epoch 26 - Average Train Loss: 0.5357, Train Accuracy: 0.8260
Epoch 26 training time consumed: 25.97s
Evaluating Network.....
Test set: Epoch: 26, Average loss: 0.0035, Accuracy: 0.7434, Time consumed:0.94s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_23h_35m_53s/AllCNN-Cifar20-seed9-ret50-26-best.pth
Training Epoch: 27 [256/47500]	Loss: 0.5115	LR: 0.020000
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Training Epoch: 27 [47500/47500]	Loss: 0.6543	LR: 0.020000
Epoch 27 - Average Train Loss: 0.5307, Train Accuracy: 0.8264
Epoch 27 training time consumed: 26.06s
Evaluating Network.....
Test set: Epoch: 27, Average loss: 0.0035, Accuracy: 0.7427, Time consumed:0.95s
Training Epoch: 28 [256/47500]	Loss: 0.4608	LR: 0.020000
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Training Epoch: 28 [23552/47500]	Loss: 0.5253	LR: 0.020000
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Training Epoch: 28 [24064/47500]	Loss: 0.5346	LR: 0.020000
Training Epoch: 28 [24320/47500]	Loss: 0.4648	LR: 0.020000
Training Epoch: 28 [24576/47500]	Loss: 0.5765	LR: 0.020000
Training Epoch: 28 [24832/47500]	Loss: 0.4996	LR: 0.020000
Training Epoch: 28 [25088/47500]	Loss: 0.4787	LR: 0.020000
Training Epoch: 28 [25344/47500]	Loss: 0.4743	LR: 0.020000
Training Epoch: 28 [25600/47500]	Loss: 0.5465	LR: 0.020000
Training Epoch: 28 [25856/47500]	Loss: 0.5170	LR: 0.020000
Training Epoch: 28 [26112/47500]	Loss: 0.6176	LR: 0.020000
Training Epoch: 28 [26368/47500]	Loss: 0.4484	LR: 0.020000
Training Epoch: 28 [26624/47500]	Loss: 0.4244	LR: 0.020000
Training Epoch: 28 [26880/47500]	Loss: 0.6692	LR: 0.020000
Training Epoch: 28 [27136/47500]	Loss: 0.6032	LR: 0.020000
Training Epoch: 28 [27392/47500]	Loss: 0.5695	LR: 0.020000
Training Epoch: 28 [27648/47500]	Loss: 0.5745	LR: 0.020000
Training Epoch: 28 [27904/47500]	Loss: 0.5656	LR: 0.020000
Training Epoch: 28 [28160/47500]	Loss: 0.6069	LR: 0.020000
Training Epoch: 28 [28416/47500]	Loss: 0.6371	LR: 0.020000
Training Epoch: 28 [28672/47500]	Loss: 0.5228	LR: 0.020000
Training Epoch: 28 [28928/47500]	Loss: 0.5476	LR: 0.020000
Training Epoch: 28 [29184/47500]	Loss: 0.5614	LR: 0.020000
Training Epoch: 28 [29440/47500]	Loss: 0.5138	LR: 0.020000
Training Epoch: 28 [29696/47500]	Loss: 0.4067	LR: 0.020000
Training Epoch: 28 [29952/47500]	Loss: 0.6350	LR: 0.020000
Training Epoch: 28 [30208/47500]	Loss: 0.5490	LR: 0.020000
Training Epoch: 28 [30464/47500]	Loss: 0.5710	LR: 0.020000
Training Epoch: 28 [30720/47500]	Loss: 0.4536	LR: 0.020000
Training Epoch: 28 [30976/47500]	Loss: 0.5088	LR: 0.020000
Training Epoch: 28 [31232/47500]	Loss: 0.5131	LR: 0.020000
Training Epoch: 28 [31488/47500]	Loss: 0.6540	LR: 0.020000
Training Epoch: 28 [31744/47500]	Loss: 0.4909	LR: 0.020000
Training Epoch: 28 [32000/47500]	Loss: 0.5847	LR: 0.020000
Training Epoch: 28 [32256/47500]	Loss: 0.6083	LR: 0.020000
Training Epoch: 28 [32512/47500]	Loss: 0.4858	LR: 0.020000
Training Epoch: 28 [32768/47500]	Loss: 0.6185	LR: 0.020000
Training Epoch: 28 [33024/47500]	Loss: 0.5344	LR: 0.020000
Training Epoch: 28 [33280/47500]	Loss: 0.5055	LR: 0.020000
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Training Epoch: 28 [34560/47500]	Loss: 0.5377	LR: 0.020000
Training Epoch: 28 [34816/47500]	Loss: 0.6114	LR: 0.020000
Training Epoch: 28 [35072/47500]	Loss: 0.4950	LR: 0.020000
Training Epoch: 28 [35328/47500]	Loss: 0.5472	LR: 0.020000
Training Epoch: 28 [35584/47500]	Loss: 0.5488	LR: 0.020000
Training Epoch: 28 [35840/47500]	Loss: 0.5507	LR: 0.020000
Training Epoch: 28 [36096/47500]	Loss: 0.4977	LR: 0.020000
Training Epoch: 28 [36352/47500]	Loss: 0.4551	LR: 0.020000
Training Epoch: 28 [36608/47500]	Loss: 0.6880	LR: 0.020000
Training Epoch: 28 [36864/47500]	Loss: 0.6201	LR: 0.020000
Training Epoch: 28 [37120/47500]	Loss: 0.5984	LR: 0.020000
Training Epoch: 28 [37376/47500]	Loss: 0.6322	LR: 0.020000
Training Epoch: 28 [37632/47500]	Loss: 0.4990	LR: 0.020000
Training Epoch: 28 [37888/47500]	Loss: 0.5127	LR: 0.020000
Training Epoch: 28 [38144/47500]	Loss: 0.4794	LR: 0.020000
Training Epoch: 28 [38400/47500]	Loss: 0.4614	LR: 0.020000
Training Epoch: 28 [38656/47500]	Loss: 0.5720	LR: 0.020000
Training Epoch: 28 [38912/47500]	Loss: 0.5666	LR: 0.020000
Training Epoch: 28 [39168/47500]	Loss: 0.5983	LR: 0.020000
Training Epoch: 28 [39424/47500]	Loss: 0.4441	LR: 0.020000
Training Epoch: 28 [39680/47500]	Loss: 0.5160	LR: 0.020000
Training Epoch: 28 [39936/47500]	Loss: 0.5025	LR: 0.020000
Training Epoch: 28 [40192/47500]	Loss: 0.6193	LR: 0.020000
Training Epoch: 28 [40448/47500]	Loss: 0.4416	LR: 0.020000
Training Epoch: 28 [40704/47500]	Loss: 0.4673	LR: 0.020000
Training Epoch: 28 [40960/47500]	Loss: 0.5847	LR: 0.020000
Training Epoch: 28 [41216/47500]	Loss: 0.6038	LR: 0.020000
Training Epoch: 28 [41472/47500]	Loss: 0.5448	LR: 0.020000
Training Epoch: 28 [41728/47500]	Loss: 0.7060	LR: 0.020000
Training Epoch: 28 [41984/47500]	Loss: 0.5337	LR: 0.020000
Training Epoch: 28 [42240/47500]	Loss: 0.4982	LR: 0.020000
Training Epoch: 28 [42496/47500]	Loss: 0.4539	LR: 0.020000
Training Epoch: 28 [42752/47500]	Loss: 0.4633	LR: 0.020000
Training Epoch: 28 [43008/47500]	Loss: 0.5134	LR: 0.020000
Training Epoch: 28 [43264/47500]	Loss: 0.5276	LR: 0.020000
Training Epoch: 28 [43520/47500]	Loss: 0.5549	LR: 0.020000
Training Epoch: 28 [43776/47500]	Loss: 0.4389	LR: 0.020000
Training Epoch: 28 [44032/47500]	Loss: 0.4139	LR: 0.020000
Training Epoch: 28 [44288/47500]	Loss: 0.4977	LR: 0.020000
Training Epoch: 28 [44544/47500]	Loss: 0.5765	LR: 0.020000
Training Epoch: 28 [44800/47500]	Loss: 0.6758	LR: 0.020000
Training Epoch: 28 [45056/47500]	Loss: 0.6072	LR: 0.020000
Training Epoch: 28 [45312/47500]	Loss: 0.5756	LR: 0.020000
Training Epoch: 28 [45568/47500]	Loss: 0.5401	LR: 0.020000
Training Epoch: 28 [45824/47500]	Loss: 0.4616	LR: 0.020000
Training Epoch: 28 [46080/47500]	Loss: 0.5546	LR: 0.020000
Training Epoch: 28 [46336/47500]	Loss: 0.5485	LR: 0.020000
Training Epoch: 28 [46592/47500]	Loss: 0.5643	LR: 0.020000
Training Epoch: 28 [46848/47500]	Loss: 0.5881	LR: 0.020000
Training Epoch: 28 [47104/47500]	Loss: 0.5279	LR: 0.020000
Training Epoch: 28 [47360/47500]	Loss: 0.4530	LR: 0.020000
Training Epoch: 28 [47500/47500]	Loss: 0.6999	LR: 0.020000
Epoch 28 - Average Train Loss: 0.5213, Train Accuracy: 0.8291
Epoch 28 training time consumed: 26.00s
Evaluating Network.....
Test set: Epoch: 28, Average loss: 0.0036, Accuracy: 0.7366, Time consumed:0.90s
Training Epoch: 29 [256/47500]	Loss: 0.5170	LR: 0.020000
Training Epoch: 29 [512/47500]	Loss: 0.3898	LR: 0.020000
Training Epoch: 29 [768/47500]	Loss: 0.5250	LR: 0.020000
Training Epoch: 29 [1024/47500]	Loss: 0.5599	LR: 0.020000
Training Epoch: 29 [1280/47500]	Loss: 0.4997	LR: 0.020000
Training Epoch: 29 [1536/47500]	Loss: 0.5346	LR: 0.020000
Training Epoch: 29 [1792/47500]	Loss: 0.5207	LR: 0.020000
Training Epoch: 29 [2048/47500]	Loss: 0.5811	LR: 0.020000
Training Epoch: 29 [2304/47500]	Loss: 0.4458	LR: 0.020000
Training Epoch: 29 [2560/47500]	Loss: 0.4556	LR: 0.020000
Training Epoch: 29 [2816/47500]	Loss: 0.5260	LR: 0.020000
Training Epoch: 29 [3072/47500]	Loss: 0.4586	LR: 0.020000
Training Epoch: 29 [3328/47500]	Loss: 0.4094	LR: 0.020000
Training Epoch: 29 [3584/47500]	Loss: 0.3978	LR: 0.020000
Training Epoch: 29 [3840/47500]	Loss: 0.5702	LR: 0.020000
Training Epoch: 29 [4096/47500]	Loss: 0.4967	LR: 0.020000
Training Epoch: 29 [4352/47500]	Loss: 0.5100	LR: 0.020000
Training Epoch: 29 [4608/47500]	Loss: 0.4816	LR: 0.020000
Training Epoch: 29 [4864/47500]	Loss: 0.4550	LR: 0.020000
Training Epoch: 29 [5120/47500]	Loss: 0.4693	LR: 0.020000
Training Epoch: 29 [5376/47500]	Loss: 0.4989	LR: 0.020000
Training Epoch: 29 [5632/47500]	Loss: 0.4491	LR: 0.020000
Training Epoch: 29 [5888/47500]	Loss: 0.4002	LR: 0.020000
Training Epoch: 29 [6144/47500]	Loss: 0.5427	LR: 0.020000
Training Epoch: 29 [6400/47500]	Loss: 0.4881	LR: 0.020000
Training Epoch: 29 [6656/47500]	Loss: 0.4810	LR: 0.020000
Training Epoch: 29 [6912/47500]	Loss: 0.5435	LR: 0.020000
Training Epoch: 29 [7168/47500]	Loss: 0.4878	LR: 0.020000
Training Epoch: 29 [7424/47500]	Loss: 0.4808	LR: 0.020000
Training Epoch: 29 [7680/47500]	Loss: 0.4620	LR: 0.020000
Training Epoch: 29 [7936/47500]	Loss: 0.4259	LR: 0.020000
Training Epoch: 29 [8192/47500]	Loss: 0.4830	LR: 0.020000
Training Epoch: 29 [8448/47500]	Loss: 0.4501	LR: 0.020000
Training Epoch: 29 [8704/47500]	Loss: 0.4236	LR: 0.020000
Training Epoch: 29 [8960/47500]	Loss: 0.4910	LR: 0.020000
Training Epoch: 29 [9216/47500]	Loss: 0.4428	LR: 0.020000
Training Epoch: 29 [9472/47500]	Loss: 0.5696	LR: 0.020000
Training Epoch: 29 [9728/47500]	Loss: 0.5300	LR: 0.020000
Training Epoch: 29 [9984/47500]	Loss: 0.4438	LR: 0.020000
Training Epoch: 29 [10240/47500]	Loss: 0.4854	LR: 0.020000
Training Epoch: 29 [10496/47500]	Loss: 0.4284	LR: 0.020000
Training Epoch: 29 [10752/47500]	Loss: 0.4619	LR: 0.020000
Training Epoch: 29 [11008/47500]	Loss: 0.4319	LR: 0.020000
Training Epoch: 29 [11264/47500]	Loss: 0.5239	LR: 0.020000
Training Epoch: 29 [11520/47500]	Loss: 0.4851	LR: 0.020000
Training Epoch: 29 [11776/47500]	Loss: 0.5725	LR: 0.020000
Training Epoch: 29 [12032/47500]	Loss: 0.5276	LR: 0.020000
Training Epoch: 29 [12288/47500]	Loss: 0.4464	LR: 0.020000
Training Epoch: 29 [12544/47500]	Loss: 0.5256	LR: 0.020000
Training Epoch: 29 [12800/47500]	Loss: 0.5642	LR: 0.020000
Training Epoch: 29 [13056/47500]	Loss: 0.4908	LR: 0.020000
Training Epoch: 29 [13312/47500]	Loss: 0.4166	LR: 0.020000
Training Epoch: 29 [13568/47500]	Loss: 0.4054	LR: 0.020000
Training Epoch: 29 [13824/47500]	Loss: 0.4549	LR: 0.020000
Training Epoch: 29 [14080/47500]	Loss: 0.4300	LR: 0.020000
Training Epoch: 29 [14336/47500]	Loss: 0.5419	LR: 0.020000
Training Epoch: 29 [14592/47500]	Loss: 0.5435	LR: 0.020000
Training Epoch: 29 [14848/47500]	Loss: 0.5733	LR: 0.020000
Training Epoch: 29 [15104/47500]	Loss: 0.3712	LR: 0.020000
Training Epoch: 29 [15360/47500]	Loss: 0.5469	LR: 0.020000
Training Epoch: 29 [15616/47500]	Loss: 0.4875	LR: 0.020000
Training Epoch: 29 [15872/47500]	Loss: 0.5819	LR: 0.020000
Training Epoch: 29 [16128/47500]	Loss: 0.4724	LR: 0.020000
Training Epoch: 29 [16384/47500]	Loss: 0.5249	LR: 0.020000
Training Epoch: 29 [16640/47500]	Loss: 0.4936	LR: 0.020000
Training Epoch: 29 [16896/47500]	Loss: 0.4553	LR: 0.020000
Training Epoch: 29 [17152/47500]	Loss: 0.5284	LR: 0.020000
Training Epoch: 29 [17408/47500]	Loss: 0.5322	LR: 0.020000
Training Epoch: 29 [17664/47500]	Loss: 0.6159	LR: 0.020000
Training Epoch: 29 [17920/47500]	Loss: 0.4437	LR: 0.020000
Training Epoch: 29 [18176/47500]	Loss: 0.4418	LR: 0.020000
Training Epoch: 29 [18432/47500]	Loss: 0.5667	LR: 0.020000
Training Epoch: 29 [18688/47500]	Loss: 0.5287	LR: 0.020000
Training Epoch: 29 [18944/47500]	Loss: 0.5184	LR: 0.020000
Training Epoch: 29 [19200/47500]	Loss: 0.5685	LR: 0.020000
Training Epoch: 29 [19456/47500]	Loss: 0.5685	LR: 0.020000
Training Epoch: 29 [19712/47500]	Loss: 0.4709	LR: 0.020000
Training Epoch: 29 [19968/47500]	Loss: 0.4804	LR: 0.020000
Training Epoch: 29 [20224/47500]	Loss: 0.4175	LR: 0.020000
Training Epoch: 29 [20480/47500]	Loss: 0.4917	LR: 0.020000
Training Epoch: 29 [20736/47500]	Loss: 0.3843	LR: 0.020000
Training Epoch: 29 [20992/47500]	Loss: 0.4983	LR: 0.020000
Training Epoch: 29 [21248/47500]	Loss: 0.5199	LR: 0.020000
Training Epoch: 29 [21504/47500]	Loss: 0.5724	LR: 0.020000
Training Epoch: 29 [21760/47500]	Loss: 0.4128	LR: 0.020000
Training Epoch: 29 [22016/47500]	Loss: 0.5604	LR: 0.020000
Training Epoch: 29 [22272/47500]	Loss: 0.4742	LR: 0.020000
Training Epoch: 29 [22528/47500]	Loss: 0.4640	LR: 0.020000
Training Epoch: 29 [22784/47500]	Loss: 0.4126	LR: 0.020000
Training Epoch: 29 [23040/47500]	Loss: 0.4997	LR: 0.020000
Training Epoch: 29 [23296/47500]	Loss: 0.5678	LR: 0.020000
Training Epoch: 29 [23552/47500]	Loss: 0.4440	LR: 0.020000
Training Epoch: 29 [23808/47500]	Loss: 0.5203	LR: 0.020000
Training Epoch: 29 [24064/47500]	Loss: 0.5235	LR: 0.020000
Training Epoch: 29 [24320/47500]	Loss: 0.4611	LR: 0.020000
Training Epoch: 29 [24576/47500]	Loss: 0.5145	LR: 0.020000
Training Epoch: 29 [24832/47500]	Loss: 0.5667	LR: 0.020000
Training Epoch: 29 [25088/47500]	Loss: 0.5760	LR: 0.020000
Training Epoch: 29 [25344/47500]	Loss: 0.5483	LR: 0.020000
Training Epoch: 29 [25600/47500]	Loss: 0.5438	LR: 0.020000
Training Epoch: 29 [25856/47500]	Loss: 0.5124	LR: 0.020000
Training Epoch: 29 [26112/47500]	Loss: 0.5253	LR: 0.020000
Training Epoch: 29 [26368/47500]	Loss: 0.4650	LR: 0.020000
Training Epoch: 29 [26624/47500]	Loss: 0.5443	LR: 0.020000
Training Epoch: 29 [26880/47500]	Loss: 0.5735	LR: 0.020000
Training Epoch: 29 [27136/47500]	Loss: 0.5259	LR: 0.020000
Training Epoch: 29 [27392/47500]	Loss: 0.5413	LR: 0.020000
Training Epoch: 29 [27648/47500]	Loss: 0.6029	LR: 0.020000
Training Epoch: 29 [27904/47500]	Loss: 0.4974	LR: 0.020000
Training Epoch: 29 [28160/47500]	Loss: 0.4886	LR: 0.020000
Training Epoch: 29 [28416/47500]	Loss: 0.4694	LR: 0.020000
Training Epoch: 29 [28672/47500]	Loss: 0.4783	LR: 0.020000
Training Epoch: 29 [28928/47500]	Loss: 0.4964	LR: 0.020000
Training Epoch: 29 [29184/47500]	Loss: 0.4527	LR: 0.020000
Training Epoch: 29 [29440/47500]	Loss: 0.5849	LR: 0.020000
Training Epoch: 29 [29696/47500]	Loss: 0.4525	LR: 0.020000
Training Epoch: 29 [29952/47500]	Loss: 0.5394	LR: 0.020000
Training Epoch: 29 [30208/47500]	Loss: 0.5293	LR: 0.020000
Training Epoch: 29 [30464/47500]	Loss: 0.5676	LR: 0.020000
Training Epoch: 29 [30720/47500]	Loss: 0.4772	LR: 0.020000
Training Epoch: 29 [30976/47500]	Loss: 0.5179	LR: 0.020000
Training Epoch: 29 [31232/47500]	Loss: 0.5645	LR: 0.020000
Training Epoch: 29 [31488/47500]	Loss: 0.4248	LR: 0.020000
Training Epoch: 29 [31744/47500]	Loss: 0.4865	LR: 0.020000
Training Epoch: 29 [32000/47500]	Loss: 0.5900	LR: 0.020000
Training Epoch: 29 [32256/47500]	Loss: 0.5562	LR: 0.020000
Training Epoch: 29 [32512/47500]	Loss: 0.4556	LR: 0.020000
Training Epoch: 29 [32768/47500]	Loss: 0.4484	LR: 0.020000
Training Epoch: 29 [33024/47500]	Loss: 0.4943	LR: 0.020000
Training Epoch: 29 [33280/47500]	Loss: 0.5820	LR: 0.020000
Training Epoch: 29 [33536/47500]	Loss: 0.5776	LR: 0.020000
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Training Epoch: 29 [34048/47500]	Loss: 0.4663	LR: 0.020000
Training Epoch: 29 [34304/47500]	Loss: 0.4853	LR: 0.020000
Training Epoch: 29 [34560/47500]	Loss: 0.6025	LR: 0.020000
Training Epoch: 29 [34816/47500]	Loss: 0.5700	LR: 0.020000
Training Epoch: 29 [35072/47500]	Loss: 0.5097	LR: 0.020000
Training Epoch: 29 [35328/47500]	Loss: 0.4830	LR: 0.020000
Training Epoch: 29 [35584/47500]	Loss: 0.5293	LR: 0.020000
Training Epoch: 29 [35840/47500]	Loss: 0.5076	LR: 0.020000
Training Epoch: 29 [36096/47500]	Loss: 0.5541	LR: 0.020000
Training Epoch: 29 [36352/47500]	Loss: 0.4905	LR: 0.020000
Training Epoch: 29 [36608/47500]	Loss: 0.5820	LR: 0.020000
Training Epoch: 29 [36864/47500]	Loss: 0.4815	LR: 0.020000
Training Epoch: 29 [37120/47500]	Loss: 0.5641	LR: 0.020000
Training Epoch: 29 [37376/47500]	Loss: 0.7188	LR: 0.020000
Training Epoch: 29 [37632/47500]	Loss: 0.5099	LR: 0.020000
Training Epoch: 29 [37888/47500]	Loss: 0.5788	LR: 0.020000
Training Epoch: 29 [38144/47500]	Loss: 0.5186	LR: 0.020000
Training Epoch: 29 [38400/47500]	Loss: 0.5477	LR: 0.020000
Training Epoch: 29 [38656/47500]	Loss: 0.5458	LR: 0.020000
Training Epoch: 29 [38912/47500]	Loss: 0.4965	LR: 0.020000
Training Epoch: 29 [39168/47500]	Loss: 0.5405	LR: 0.020000
Training Epoch: 29 [39424/47500]	Loss: 0.5155	LR: 0.020000
Training Epoch: 29 [39680/47500]	Loss: 0.5521	LR: 0.020000
Training Epoch: 29 [39936/47500]	Loss: 0.5253	LR: 0.020000
Training Epoch: 29 [40192/47500]	Loss: 0.5207	LR: 0.020000
Training Epoch: 29 [40448/47500]	Loss: 0.5087	LR: 0.020000
Training Epoch: 29 [40704/47500]	Loss: 0.6457	LR: 0.020000
Training Epoch: 29 [40960/47500]	Loss: 0.5274	LR: 0.020000
Training Epoch: 29 [41216/47500]	Loss: 0.4871	LR: 0.020000
Training Epoch: 29 [41472/47500]	Loss: 0.4756	LR: 0.020000
Training Epoch: 29 [41728/47500]	Loss: 0.5714	LR: 0.020000
Training Epoch: 29 [41984/47500]	Loss: 0.5451	LR: 0.020000
Training Epoch: 29 [42240/47500]	Loss: 0.5749	LR: 0.020000
Training Epoch: 29 [42496/47500]	Loss: 0.4557	LR: 0.020000
Training Epoch: 29 [42752/47500]	Loss: 0.4482	LR: 0.020000
Training Epoch: 29 [43008/47500]	Loss: 0.5549	LR: 0.020000
Training Epoch: 29 [43264/47500]	Loss: 0.5618	LR: 0.020000
Training Epoch: 29 [43520/47500]	Loss: 0.5700	LR: 0.020000
Training Epoch: 29 [43776/47500]	Loss: 0.5244	LR: 0.020000
Training Epoch: 29 [44032/47500]	Loss: 0.5673	LR: 0.020000
Training Epoch: 29 [44288/47500]	Loss: 0.5683	LR: 0.020000
Training Epoch: 29 [44544/47500]	Loss: 0.5919	LR: 0.020000
Training Epoch: 29 [44800/47500]	Loss: 0.5317	LR: 0.020000
Training Epoch: 29 [45056/47500]	Loss: 0.6225	LR: 0.020000
Training Epoch: 29 [45312/47500]	Loss: 0.4342	LR: 0.020000
Training Epoch: 29 [45568/47500]	Loss: 0.4041	LR: 0.020000
Training Epoch: 29 [45824/47500]	Loss: 0.5485	LR: 0.020000
Training Epoch: 29 [46080/47500]	Loss: 0.5313	LR: 0.020000
Training Epoch: 29 [46336/47500]	Loss: 0.5765	LR: 0.020000
Training Epoch: 29 [46592/47500]	Loss: 0.4836	LR: 0.020000
Training Epoch: 29 [46848/47500]	Loss: 0.5999	LR: 0.020000
Training Epoch: 29 [47104/47500]	Loss: 0.6438	LR: 0.020000
Training Epoch: 29 [47360/47500]	Loss: 0.5993	LR: 0.020000
Training Epoch: 29 [47500/47500]	Loss: 0.6673	LR: 0.020000
Epoch 29 - Average Train Loss: 0.5114, Train Accuracy: 0.8341
Epoch 29 training time consumed: 25.94s
Evaluating Network.....
Test set: Epoch: 29, Average loss: 0.0038, Accuracy: 0.7333, Time consumed:0.89s
Training Epoch: 30 [256/47500]	Loss: 0.5693	LR: 0.004000
Training Epoch: 30 [512/47500]	Loss: 0.4749	LR: 0.004000
Training Epoch: 30 [768/47500]	Loss: 0.5530	LR: 0.004000
Training Epoch: 30 [1024/47500]	Loss: 0.4045	LR: 0.004000
Training Epoch: 30 [1280/47500]	Loss: 0.4397	LR: 0.004000
Training Epoch: 30 [1536/47500]	Loss: 0.4924	LR: 0.004000
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Training Epoch: 30 [47500/47500]	Loss: 0.4064	LR: 0.004000
Epoch 30 - Average Train Loss: 0.3958, Train Accuracy: 0.8749
Epoch 30 training time consumed: 26.02s
Evaluating Network.....
Test set: Epoch: 30, Average loss: 0.0030, Accuracy: 0.7776, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_23h_35m_53s/AllCNN-Cifar20-seed9-ret50-30-best.pth
Training Epoch: 31 [256/47500]	Loss: 0.3195	LR: 0.004000
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Training Epoch: 31 [47360/47500]	Loss: 0.3231	LR: 0.004000
Training Epoch: 31 [47500/47500]	Loss: 0.5160	LR: 0.004000
Epoch 31 - Average Train Loss: 0.3586, Train Accuracy: 0.8903
Epoch 31 training time consumed: 26.16s
Evaluating Network.....
Test set: Epoch: 31, Average loss: 0.0030, Accuracy: 0.7811, Time consumed:0.94s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_23h_35m_53s/AllCNN-Cifar20-seed9-ret50-31-best.pth
Training Epoch: 32 [256/47500]	Loss: 0.3217	LR: 0.004000
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Training Epoch: 32 [47500/47500]	Loss: 0.4394	LR: 0.004000
Epoch 32 - Average Train Loss: 0.3407, Train Accuracy: 0.8957
Epoch 32 training time consumed: 25.95s
Evaluating Network.....
Test set: Epoch: 32, Average loss: 0.0030, Accuracy: 0.7813, Time consumed:0.88s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_23h_35m_53s/AllCNN-Cifar20-seed9-ret50-32-best.pth
Training Epoch: 33 [256/47500]	Loss: 0.2742	LR: 0.004000
Training Epoch: 33 [512/47500]	Loss: 0.2942	LR: 0.004000
Training Epoch: 33 [768/47500]	Loss: 0.3119	LR: 0.004000
Training Epoch: 33 [1024/47500]	Loss: 0.3397	LR: 0.004000
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Training Epoch: 33 [3584/47500]	Loss: 0.3431	LR: 0.004000
Training Epoch: 33 [3840/47500]	Loss: 0.3552	LR: 0.004000
Training Epoch: 33 [4096/47500]	Loss: 0.3942	LR: 0.004000
Training Epoch: 33 [4352/47500]	Loss: 0.3079	LR: 0.004000
Training Epoch: 33 [4608/47500]	Loss: 0.3488	LR: 0.004000
Training Epoch: 33 [4864/47500]	Loss: 0.4180	LR: 0.004000
Training Epoch: 33 [5120/47500]	Loss: 0.3432	LR: 0.004000
Training Epoch: 33 [5376/47500]	Loss: 0.3632	LR: 0.004000
Training Epoch: 33 [5632/47500]	Loss: 0.3240	LR: 0.004000
Training Epoch: 33 [5888/47500]	Loss: 0.3259	LR: 0.004000
Training Epoch: 33 [6144/47500]	Loss: 0.2810	LR: 0.004000
Training Epoch: 33 [6400/47500]	Loss: 0.3978	LR: 0.004000
Training Epoch: 33 [6656/47500]	Loss: 0.2968	LR: 0.004000
Training Epoch: 33 [6912/47500]	Loss: 0.3088	LR: 0.004000
Training Epoch: 33 [7168/47500]	Loss: 0.2948	LR: 0.004000
Training Epoch: 33 [7424/47500]	Loss: 0.3286	LR: 0.004000
Training Epoch: 33 [7680/47500]	Loss: 0.3847	LR: 0.004000
Training Epoch: 33 [7936/47500]	Loss: 0.2801	LR: 0.004000
Training Epoch: 33 [8192/47500]	Loss: 0.3688	LR: 0.004000
Training Epoch: 33 [8448/47500]	Loss: 0.2603	LR: 0.004000
Training Epoch: 33 [8704/47500]	Loss: 0.3508	LR: 0.004000
Training Epoch: 33 [8960/47500]	Loss: 0.3105	LR: 0.004000
Training Epoch: 33 [9216/47500]	Loss: 0.2955	LR: 0.004000
Training Epoch: 33 [9472/47500]	Loss: 0.2736	LR: 0.004000
Training Epoch: 33 [9728/47500]	Loss: 0.3528	LR: 0.004000
Training Epoch: 33 [9984/47500]	Loss: 0.2558	LR: 0.004000
Training Epoch: 33 [10240/47500]	Loss: 0.3005	LR: 0.004000
Training Epoch: 33 [10496/47500]	Loss: 0.2610	LR: 0.004000
Training Epoch: 33 [10752/47500]	Loss: 0.3225	LR: 0.004000
Training Epoch: 33 [11008/47500]	Loss: 0.3513	LR: 0.004000
Training Epoch: 33 [11264/47500]	Loss: 0.3749	LR: 0.004000
Training Epoch: 33 [11520/47500]	Loss: 0.3124	LR: 0.004000
Training Epoch: 33 [11776/47500]	Loss: 0.2826	LR: 0.004000
Training Epoch: 33 [12032/47500]	Loss: 0.3549	LR: 0.004000
Training Epoch: 33 [12288/47500]	Loss: 0.3034	LR: 0.004000
Training Epoch: 33 [12544/47500]	Loss: 0.2828	LR: 0.004000
Training Epoch: 33 [12800/47500]	Loss: 0.3785	LR: 0.004000
Training Epoch: 33 [13056/47500]	Loss: 0.3434	LR: 0.004000
Training Epoch: 33 [13312/47500]	Loss: 0.3290	LR: 0.004000
Training Epoch: 33 [13568/47500]	Loss: 0.2673	LR: 0.004000
Training Epoch: 33 [13824/47500]	Loss: 0.3171	LR: 0.004000
Training Epoch: 33 [14080/47500]	Loss: 0.3296	LR: 0.004000
Training Epoch: 33 [14336/47500]	Loss: 0.3839	LR: 0.004000
Training Epoch: 33 [14592/47500]	Loss: 0.3212	LR: 0.004000
Training Epoch: 33 [14848/47500]	Loss: 0.2208	LR: 0.004000
Training Epoch: 33 [15104/47500]	Loss: 0.3422	LR: 0.004000
Training Epoch: 33 [15360/47500]	Loss: 0.2865	LR: 0.004000
Training Epoch: 33 [15616/47500]	Loss: 0.3658	LR: 0.004000
Training Epoch: 33 [15872/47500]	Loss: 0.3758	LR: 0.004000
Training Epoch: 33 [16128/47500]	Loss: 0.3321	LR: 0.004000
Training Epoch: 33 [16384/47500]	Loss: 0.3405	LR: 0.004000
Training Epoch: 33 [16640/47500]	Loss: 0.2924	LR: 0.004000
Training Epoch: 33 [16896/47500]	Loss: 0.2978	LR: 0.004000
Training Epoch: 33 [17152/47500]	Loss: 0.3422	LR: 0.004000
Training Epoch: 33 [17408/47500]	Loss: 0.2961	LR: 0.004000
Training Epoch: 33 [17664/47500]	Loss: 0.2617	LR: 0.004000
Training Epoch: 33 [17920/47500]	Loss: 0.3689	LR: 0.004000
Training Epoch: 33 [18176/47500]	Loss: 0.2543	LR: 0.004000
Training Epoch: 33 [18432/47500]	Loss: 0.2909	LR: 0.004000
Training Epoch: 33 [18688/47500]	Loss: 0.3551	LR: 0.004000
Training Epoch: 33 [18944/47500]	Loss: 0.2936	LR: 0.004000
Training Epoch: 33 [19200/47500]	Loss: 0.3780	LR: 0.004000
Training Epoch: 33 [19456/47500]	Loss: 0.3733	LR: 0.004000
Training Epoch: 33 [19712/47500]	Loss: 0.3769	LR: 0.004000
Training Epoch: 33 [19968/47500]	Loss: 0.2947	LR: 0.004000
Training Epoch: 33 [20224/47500]	Loss: 0.2837	LR: 0.004000
Training Epoch: 33 [20480/47500]	Loss: 0.2716	LR: 0.004000
Training Epoch: 33 [20736/47500]	Loss: 0.2962	LR: 0.004000
Training Epoch: 33 [20992/47500]	Loss: 0.3166	LR: 0.004000
Training Epoch: 33 [21248/47500]	Loss: 0.2412	LR: 0.004000
Training Epoch: 33 [21504/47500]	Loss: 0.3398	LR: 0.004000
Training Epoch: 33 [21760/47500]	Loss: 0.3943	LR: 0.004000
Training Epoch: 33 [22016/47500]	Loss: 0.3246	LR: 0.004000
Training Epoch: 33 [22272/47500]	Loss: 0.4012	LR: 0.004000
Training Epoch: 33 [22528/47500]	Loss: 0.3209	LR: 0.004000
Training Epoch: 33 [22784/47500]	Loss: 0.3671	LR: 0.004000
Training Epoch: 33 [23040/47500]	Loss: 0.3467	LR: 0.004000
Training Epoch: 33 [23296/47500]	Loss: 0.2768	LR: 0.004000
Training Epoch: 33 [23552/47500]	Loss: 0.3220	LR: 0.004000
Training Epoch: 33 [23808/47500]	Loss: 0.3600	LR: 0.004000
Training Epoch: 33 [24064/47500]	Loss: 0.3706	LR: 0.004000
Training Epoch: 33 [24320/47500]	Loss: 0.3424	LR: 0.004000
Training Epoch: 33 [24576/47500]	Loss: 0.4056	LR: 0.004000
Training Epoch: 33 [24832/47500]	Loss: 0.3544	LR: 0.004000
Training Epoch: 33 [25088/47500]	Loss: 0.3476	LR: 0.004000
Training Epoch: 33 [25344/47500]	Loss: 0.3805	LR: 0.004000
Training Epoch: 33 [25600/47500]	Loss: 0.4229	LR: 0.004000
Training Epoch: 33 [25856/47500]	Loss: 0.3749	LR: 0.004000
Training Epoch: 33 [26112/47500]	Loss: 0.2830	LR: 0.004000
Training Epoch: 33 [26368/47500]	Loss: 0.2946	LR: 0.004000
Training Epoch: 33 [26624/47500]	Loss: 0.3355	LR: 0.004000
Training Epoch: 33 [26880/47500]	Loss: 0.3382	LR: 0.004000
Training Epoch: 33 [27136/47500]	Loss: 0.2907	LR: 0.004000
Training Epoch: 33 [27392/47500]	Loss: 0.3687	LR: 0.004000
Training Epoch: 33 [27648/47500]	Loss: 0.3682	LR: 0.004000
Training Epoch: 33 [27904/47500]	Loss: 0.3260	LR: 0.004000
Training Epoch: 33 [28160/47500]	Loss: 0.3334	LR: 0.004000
Training Epoch: 33 [28416/47500]	Loss: 0.2966	LR: 0.004000
Training Epoch: 33 [28672/47500]	Loss: 0.4648	LR: 0.004000
Training Epoch: 33 [28928/47500]	Loss: 0.3042	LR: 0.004000
Training Epoch: 33 [29184/47500]	Loss: 0.3260	LR: 0.004000
Training Epoch: 33 [29440/47500]	Loss: 0.2721	LR: 0.004000
Training Epoch: 33 [29696/47500]	Loss: 0.3180	LR: 0.004000
Training Epoch: 33 [29952/47500]	Loss: 0.3348	LR: 0.004000
Training Epoch: 33 [30208/47500]	Loss: 0.3133	LR: 0.004000
Training Epoch: 33 [30464/47500]	Loss: 0.3649	LR: 0.004000
Training Epoch: 33 [30720/47500]	Loss: 0.3298	LR: 0.004000
Training Epoch: 33 [30976/47500]	Loss: 0.3705	LR: 0.004000
Training Epoch: 33 [31232/47500]	Loss: 0.3704	LR: 0.004000
Training Epoch: 33 [31488/47500]	Loss: 0.3073	LR: 0.004000
Training Epoch: 33 [31744/47500]	Loss: 0.2854	LR: 0.004000
Training Epoch: 33 [32000/47500]	Loss: 0.2737	LR: 0.004000
Training Epoch: 33 [32256/47500]	Loss: 0.3847	LR: 0.004000
Training Epoch: 33 [32512/47500]	Loss: 0.3451	LR: 0.004000
Training Epoch: 33 [32768/47500]	Loss: 0.3713	LR: 0.004000
Training Epoch: 33 [33024/47500]	Loss: 0.3482	LR: 0.004000
Training Epoch: 33 [33280/47500]	Loss: 0.3187	LR: 0.004000
Training Epoch: 33 [33536/47500]	Loss: 0.3007	LR: 0.004000
Training Epoch: 33 [33792/47500]	Loss: 0.3230	LR: 0.004000
Training Epoch: 33 [34048/47500]	Loss: 0.3380	LR: 0.004000
Training Epoch: 33 [34304/47500]	Loss: 0.3182	LR: 0.004000
Training Epoch: 33 [34560/47500]	Loss: 0.2996	LR: 0.004000
Training Epoch: 33 [34816/47500]	Loss: 0.2902	LR: 0.004000
Training Epoch: 33 [35072/47500]	Loss: 0.3600	LR: 0.004000
Training Epoch: 33 [35328/47500]	Loss: 0.3470	LR: 0.004000
Training Epoch: 33 [35584/47500]	Loss: 0.2835	LR: 0.004000
Training Epoch: 33 [35840/47500]	Loss: 0.3424	LR: 0.004000
Training Epoch: 33 [36096/47500]	Loss: 0.3866	LR: 0.004000
Training Epoch: 33 [36352/47500]	Loss: 0.3355	LR: 0.004000
Training Epoch: 33 [36608/47500]	Loss: 0.2604	LR: 0.004000
Training Epoch: 33 [36864/47500]	Loss: 0.3160	LR: 0.004000
Training Epoch: 33 [37120/47500]	Loss: 0.3629	LR: 0.004000
Training Epoch: 33 [37376/47500]	Loss: 0.3280	LR: 0.004000
Training Epoch: 33 [37632/47500]	Loss: 0.4100	LR: 0.004000
Training Epoch: 33 [37888/47500]	Loss: 0.3232	LR: 0.004000
Training Epoch: 33 [38144/47500]	Loss: 0.3196	LR: 0.004000
Training Epoch: 33 [38400/47500]	Loss: 0.3523	LR: 0.004000
Training Epoch: 33 [38656/47500]	Loss: 0.3629	LR: 0.004000
Training Epoch: 33 [38912/47500]	Loss: 0.3277	LR: 0.004000
Training Epoch: 33 [39168/47500]	Loss: 0.3044	LR: 0.004000
Training Epoch: 33 [39424/47500]	Loss: 0.2548	LR: 0.004000
Training Epoch: 33 [39680/47500]	Loss: 0.3790	LR: 0.004000
Training Epoch: 33 [39936/47500]	Loss: 0.3449	LR: 0.004000
Training Epoch: 33 [40192/47500]	Loss: 0.3570	LR: 0.004000
Training Epoch: 33 [40448/47500]	Loss: 0.3908	LR: 0.004000
Training Epoch: 33 [40704/47500]	Loss: 0.3023	LR: 0.004000
Training Epoch: 33 [40960/47500]	Loss: 0.2850	LR: 0.004000
Training Epoch: 33 [41216/47500]	Loss: 0.2817	LR: 0.004000
Training Epoch: 33 [41472/47500]	Loss: 0.3452	LR: 0.004000
Training Epoch: 33 [41728/47500]	Loss: 0.3316	LR: 0.004000
Training Epoch: 33 [41984/47500]	Loss: 0.2864	LR: 0.004000
Training Epoch: 33 [42240/47500]	Loss: 0.3617	LR: 0.004000
Training Epoch: 33 [42496/47500]	Loss: 0.2629	LR: 0.004000
Training Epoch: 33 [42752/47500]	Loss: 0.2889	LR: 0.004000
Training Epoch: 33 [43008/47500]	Loss: 0.3109	LR: 0.004000
Training Epoch: 33 [43264/47500]	Loss: 0.3490	LR: 0.004000
Training Epoch: 33 [43520/47500]	Loss: 0.3003	LR: 0.004000
Training Epoch: 33 [43776/47500]	Loss: 0.3787	LR: 0.004000
Training Epoch: 33 [44032/47500]	Loss: 0.3586	LR: 0.004000
Training Epoch: 33 [44288/47500]	Loss: 0.2598	LR: 0.004000
Training Epoch: 33 [44544/47500]	Loss: 0.3315	LR: 0.004000
Training Epoch: 33 [44800/47500]	Loss: 0.2456	LR: 0.004000
Training Epoch: 33 [45056/47500]	Loss: 0.2929	LR: 0.004000
Training Epoch: 33 [45312/47500]	Loss: 0.3813	LR: 0.004000
Training Epoch: 33 [45568/47500]	Loss: 0.3001	LR: 0.004000
Training Epoch: 33 [45824/47500]	Loss: 0.3311	LR: 0.004000
Training Epoch: 33 [46080/47500]	Loss: 0.3084	LR: 0.004000
Training Epoch: 33 [46336/47500]	Loss: 0.3213	LR: 0.004000
Training Epoch: 33 [46592/47500]	Loss: 0.3103	LR: 0.004000
Training Epoch: 33 [46848/47500]	Loss: 0.3709	LR: 0.004000
Training Epoch: 33 [47104/47500]	Loss: 0.3918	LR: 0.004000
Training Epoch: 33 [47360/47500]	Loss: 0.2539	LR: 0.004000
Training Epoch: 33 [47500/47500]	Loss: 0.4297	LR: 0.004000
Epoch 33 - Average Train Loss: 0.3278, Train Accuracy: 0.9001
Epoch 33 training time consumed: 26.05s
Evaluating Network.....
Test set: Epoch: 33, Average loss: 0.0030, Accuracy: 0.7795, Time consumed:0.88s
Training Epoch: 34 [256/47500]	Loss: 0.3124	LR: 0.004000
Training Epoch: 34 [512/47500]	Loss: 0.2860	LR: 0.004000
Training Epoch: 34 [768/47500]	Loss: 0.2765	LR: 0.004000
Training Epoch: 34 [1024/47500]	Loss: 0.3351	LR: 0.004000
Training Epoch: 34 [1280/47500]	Loss: 0.3036	LR: 0.004000
Training Epoch: 34 [1536/47500]	Loss: 0.2214	LR: 0.004000
Training Epoch: 34 [1792/47500]	Loss: 0.2861	LR: 0.004000
Training Epoch: 34 [2048/47500]	Loss: 0.2971	LR: 0.004000
Training Epoch: 34 [2304/47500]	Loss: 0.3834	LR: 0.004000
Training Epoch: 34 [2560/47500]	Loss: 0.3105	LR: 0.004000
Training Epoch: 34 [2816/47500]	Loss: 0.3097	LR: 0.004000
Training Epoch: 34 [3072/47500]	Loss: 0.3721	LR: 0.004000
Training Epoch: 34 [3328/47500]	Loss: 0.2774	LR: 0.004000
Training Epoch: 34 [3584/47500]	Loss: 0.2935	LR: 0.004000
Training Epoch: 34 [3840/47500]	Loss: 0.3075	LR: 0.004000
Training Epoch: 34 [4096/47500]	Loss: 0.3095	LR: 0.004000
Training Epoch: 34 [4352/47500]	Loss: 0.2780	LR: 0.004000
Training Epoch: 34 [4608/47500]	Loss: 0.2285	LR: 0.004000
Training Epoch: 34 [4864/47500]	Loss: 0.3611	LR: 0.004000
Training Epoch: 34 [5120/47500]	Loss: 0.2725	LR: 0.004000
Training Epoch: 34 [5376/47500]	Loss: 0.3773	LR: 0.004000
Training Epoch: 34 [5632/47500]	Loss: 0.4500	LR: 0.004000
Training Epoch: 34 [5888/47500]	Loss: 0.3134	LR: 0.004000
Training Epoch: 34 [6144/47500]	Loss: 0.3128	LR: 0.004000
Training Epoch: 34 [6400/47500]	Loss: 0.3736	LR: 0.004000
Training Epoch: 34 [6656/47500]	Loss: 0.3360	LR: 0.004000
Training Epoch: 34 [6912/47500]	Loss: 0.3069	LR: 0.004000
Training Epoch: 34 [7168/47500]	Loss: 0.3101	LR: 0.004000
Training Epoch: 34 [7424/47500]	Loss: 0.3599	LR: 0.004000
Training Epoch: 34 [7680/47500]	Loss: 0.3053	LR: 0.004000
Training Epoch: 34 [7936/47500]	Loss: 0.2639	LR: 0.004000
Training Epoch: 34 [8192/47500]	Loss: 0.3003	LR: 0.004000
Training Epoch: 34 [8448/47500]	Loss: 0.3464	LR: 0.004000
Training Epoch: 34 [8704/47500]	Loss: 0.3230	LR: 0.004000
Training Epoch: 34 [8960/47500]	Loss: 0.3417	LR: 0.004000
Training Epoch: 34 [9216/47500]	Loss: 0.3385	LR: 0.004000
Training Epoch: 34 [9472/47500]	Loss: 0.2511	LR: 0.004000
Training Epoch: 34 [9728/47500]	Loss: 0.3246	LR: 0.004000
Training Epoch: 34 [9984/47500]	Loss: 0.3304	LR: 0.004000
Training Epoch: 34 [10240/47500]	Loss: 0.3837	LR: 0.004000
Training Epoch: 34 [10496/47500]	Loss: 0.3248	LR: 0.004000
Training Epoch: 34 [10752/47500]	Loss: 0.3055	LR: 0.004000
Training Epoch: 34 [11008/47500]	Loss: 0.2860	LR: 0.004000
Training Epoch: 34 [11264/47500]	Loss: 0.3454	LR: 0.004000
Training Epoch: 34 [11520/47500]	Loss: 0.3042	LR: 0.004000
Training Epoch: 34 [11776/47500]	Loss: 0.2871	LR: 0.004000
Training Epoch: 34 [12032/47500]	Loss: 0.3383	LR: 0.004000
Training Epoch: 34 [12288/47500]	Loss: 0.3906	LR: 0.004000
Training Epoch: 34 [12544/47500]	Loss: 0.2941	LR: 0.004000
Training Epoch: 34 [12800/47500]	Loss: 0.3195	LR: 0.004000
Training Epoch: 34 [13056/47500]	Loss: 0.2835	LR: 0.004000
Training Epoch: 34 [13312/47500]	Loss: 0.3976	LR: 0.004000
Training Epoch: 34 [13568/47500]	Loss: 0.3216	LR: 0.004000
Training Epoch: 34 [13824/47500]	Loss: 0.2589	LR: 0.004000
Training Epoch: 34 [14080/47500]	Loss: 0.2975	LR: 0.004000
Training Epoch: 34 [14336/47500]	Loss: 0.2901	LR: 0.004000
Training Epoch: 34 [14592/47500]	Loss: 0.3001	LR: 0.004000
Training Epoch: 34 [14848/47500]	Loss: 0.3195	LR: 0.004000
Training Epoch: 34 [15104/47500]	Loss: 0.2982	LR: 0.004000
Training Epoch: 34 [15360/47500]	Loss: 0.2964	LR: 0.004000
Training Epoch: 34 [15616/47500]	Loss: 0.3190	LR: 0.004000
Training Epoch: 34 [15872/47500]	Loss: 0.3055	LR: 0.004000
Training Epoch: 34 [16128/47500]	Loss: 0.3232	LR: 0.004000
Training Epoch: 34 [16384/47500]	Loss: 0.3074	LR: 0.004000
Training Epoch: 34 [16640/47500]	Loss: 0.3275	LR: 0.004000
Training Epoch: 34 [16896/47500]	Loss: 0.2866	LR: 0.004000
Training Epoch: 34 [17152/47500]	Loss: 0.3023	LR: 0.004000
Training Epoch: 34 [17408/47500]	Loss: 0.2809	LR: 0.004000
Training Epoch: 34 [17664/47500]	Loss: 0.3447	LR: 0.004000
Training Epoch: 34 [17920/47500]	Loss: 0.3030	LR: 0.004000
Training Epoch: 34 [18176/47500]	Loss: 0.3300	LR: 0.004000
Training Epoch: 34 [18432/47500]	Loss: 0.3374	LR: 0.004000
Training Epoch: 34 [18688/47500]	Loss: 0.2508	LR: 0.004000
Training Epoch: 34 [18944/47500]	Loss: 0.3246	LR: 0.004000
Training Epoch: 34 [19200/47500]	Loss: 0.2975	LR: 0.004000
Training Epoch: 34 [19456/47500]	Loss: 0.3464	LR: 0.004000
Training Epoch: 34 [19712/47500]	Loss: 0.2652	LR: 0.004000
Training Epoch: 34 [19968/47500]	Loss: 0.3548	LR: 0.004000
Training Epoch: 34 [20224/47500]	Loss: 0.3520	LR: 0.004000
Training Epoch: 34 [20480/47500]	Loss: 0.3151	LR: 0.004000
Training Epoch: 34 [20736/47500]	Loss: 0.2896	LR: 0.004000
Training Epoch: 34 [20992/47500]	Loss: 0.2710	LR: 0.004000
Training Epoch: 34 [21248/47500]	Loss: 0.2869	LR: 0.004000
Training Epoch: 34 [21504/47500]	Loss: 0.3216	LR: 0.004000
Training Epoch: 34 [21760/47500]	Loss: 0.3742	LR: 0.004000
Training Epoch: 34 [22016/47500]	Loss: 0.2667	LR: 0.004000
Training Epoch: 34 [22272/47500]	Loss: 0.3180	LR: 0.004000
Training Epoch: 34 [22528/47500]	Loss: 0.3235	LR: 0.004000
Training Epoch: 34 [22784/47500]	Loss: 0.3541	LR: 0.004000
Training Epoch: 34 [23040/47500]	Loss: 0.3081	LR: 0.004000
Training Epoch: 34 [23296/47500]	Loss: 0.3011	LR: 0.004000
Training Epoch: 34 [23552/47500]	Loss: 0.2379	LR: 0.004000
Training Epoch: 34 [23808/47500]	Loss: 0.2725	LR: 0.004000
Training Epoch: 34 [24064/47500]	Loss: 0.2897	LR: 0.004000
Training Epoch: 34 [24320/47500]	Loss: 0.4430	LR: 0.004000
Training Epoch: 34 [24576/47500]	Loss: 0.3256	LR: 0.004000
Training Epoch: 34 [24832/47500]	Loss: 0.3206	LR: 0.004000
Training Epoch: 34 [25088/47500]	Loss: 0.3259	LR: 0.004000
Training Epoch: 34 [25344/47500]	Loss: 0.3734	LR: 0.004000
Training Epoch: 34 [25600/47500]	Loss: 0.3042	LR: 0.004000
Training Epoch: 34 [25856/47500]	Loss: 0.3356	LR: 0.004000
Training Epoch: 34 [26112/47500]	Loss: 0.3677	LR: 0.004000
Training Epoch: 34 [26368/47500]	Loss: 0.3631	LR: 0.004000
Training Epoch: 34 [26624/47500]	Loss: 0.3344	LR: 0.004000
Training Epoch: 34 [26880/47500]	Loss: 0.4521	LR: 0.004000
Training Epoch: 34 [27136/47500]	Loss: 0.3723	LR: 0.004000
Training Epoch: 34 [27392/47500]	Loss: 0.3888	LR: 0.004000
Training Epoch: 34 [27648/47500]	Loss: 0.3857	LR: 0.004000
Training Epoch: 34 [27904/47500]	Loss: 0.3770	LR: 0.004000
Training Epoch: 34 [28160/47500]	Loss: 0.2818	LR: 0.004000
Training Epoch: 34 [28416/47500]	Loss: 0.3261	LR: 0.004000
Training Epoch: 34 [28672/47500]	Loss: 0.3353	LR: 0.004000
Training Epoch: 34 [28928/47500]	Loss: 0.3455	LR: 0.004000
Training Epoch: 34 [29184/47500]	Loss: 0.2919	LR: 0.004000
Training Epoch: 34 [29440/47500]	Loss: 0.3840	LR: 0.004000
Training Epoch: 34 [29696/47500]	Loss: 0.2608	LR: 0.004000
Training Epoch: 34 [29952/47500]	Loss: 0.3366	LR: 0.004000
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Training Epoch: 34 [42752/47500]	Loss: 0.3055	LR: 0.004000
Training Epoch: 34 [43008/47500]	Loss: 0.2624	LR: 0.004000
Training Epoch: 34 [43264/47500]	Loss: 0.3816	LR: 0.004000
Training Epoch: 34 [43520/47500]	Loss: 0.2584	LR: 0.004000
Training Epoch: 34 [43776/47500]	Loss: 0.3135	LR: 0.004000
Training Epoch: 34 [44032/47500]	Loss: 0.3075	LR: 0.004000
Training Epoch: 34 [44288/47500]	Loss: 0.3534	LR: 0.004000
Training Epoch: 34 [44544/47500]	Loss: 0.3701	LR: 0.004000
Training Epoch: 34 [44800/47500]	Loss: 0.4179	LR: 0.004000
Training Epoch: 34 [45056/47500]	Loss: 0.3605	LR: 0.004000
Training Epoch: 34 [45312/47500]	Loss: 0.3567	LR: 0.004000
Training Epoch: 34 [45568/47500]	Loss: 0.2699	LR: 0.004000
Training Epoch: 34 [45824/47500]	Loss: 0.2735	LR: 0.004000
Training Epoch: 34 [46080/47500]	Loss: 0.3494	LR: 0.004000
Training Epoch: 34 [46336/47500]	Loss: 0.3206	LR: 0.004000
Training Epoch: 34 [46592/47500]	Loss: 0.2536	LR: 0.004000
Training Epoch: 34 [46848/47500]	Loss: 0.3236	LR: 0.004000
Training Epoch: 34 [47104/47500]	Loss: 0.2925	LR: 0.004000
Training Epoch: 34 [47360/47500]	Loss: 0.3052	LR: 0.004000
Training Epoch: 34 [47500/47500]	Loss: 0.3527	LR: 0.004000
Epoch 34 - Average Train Loss: 0.3181, Train Accuracy: 0.9027
Epoch 34 training time consumed: 25.92s
Evaluating Network.....
Test set: Epoch: 34, Average loss: 0.0030, Accuracy: 0.7788, Time consumed:0.95s
Training Epoch: 35 [256/47500]	Loss: 0.2732	LR: 0.000800
Training Epoch: 35 [512/47500]	Loss: 0.3093	LR: 0.000800
Training Epoch: 35 [768/47500]	Loss: 0.3182	LR: 0.000800
Training Epoch: 35 [1024/47500]	Loss: 0.3287	LR: 0.000800
Training Epoch: 35 [1280/47500]	Loss: 0.2931	LR: 0.000800
Training Epoch: 35 [1536/47500]	Loss: 0.3791	LR: 0.000800
Training Epoch: 35 [1792/47500]	Loss: 0.2388	LR: 0.000800
Training Epoch: 35 [2048/47500]	Loss: 0.3734	LR: 0.000800
Training Epoch: 35 [2304/47500]	Loss: 0.2651	LR: 0.000800
Training Epoch: 35 [2560/47500]	Loss: 0.3162	LR: 0.000800
Training Epoch: 35 [2816/47500]	Loss: 0.2928	LR: 0.000800
Training Epoch: 35 [3072/47500]	Loss: 0.2909	LR: 0.000800
Training Epoch: 35 [3328/47500]	Loss: 0.2853	LR: 0.000800
Training Epoch: 35 [3584/47500]	Loss: 0.3319	LR: 0.000800
Training Epoch: 35 [3840/47500]	Loss: 0.3411	LR: 0.000800
Training Epoch: 35 [4096/47500]	Loss: 0.2805	LR: 0.000800
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Training Epoch: 35 [4608/47500]	Loss: 0.2626	LR: 0.000800
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Training Epoch: 35 [5120/47500]	Loss: 0.2800	LR: 0.000800
Training Epoch: 35 [5376/47500]	Loss: 0.3183	LR: 0.000800
Training Epoch: 35 [5632/47500]	Loss: 0.2506	LR: 0.000800
Training Epoch: 35 [5888/47500]	Loss: 0.2250	LR: 0.000800
Training Epoch: 35 [6144/47500]	Loss: 0.2519	LR: 0.000800
Training Epoch: 35 [6400/47500]	Loss: 0.3332	LR: 0.000800
Training Epoch: 35 [6656/47500]	Loss: 0.2743	LR: 0.000800
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Training Epoch: 35 [7168/47500]	Loss: 0.3077	LR: 0.000800
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Training Epoch: 35 [45056/47500]	Loss: 0.2779	LR: 0.000800
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Training Epoch: 35 [45824/47500]	Loss: 0.2684	LR: 0.000800
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Training Epoch: 35 [46336/47500]	Loss: 0.2509	LR: 0.000800
Training Epoch: 35 [46592/47500]	Loss: 0.2583	LR: 0.000800
Training Epoch: 35 [46848/47500]	Loss: 0.4164	LR: 0.000800
Training Epoch: 35 [47104/47500]	Loss: 0.2939	LR: 0.000800
Training Epoch: 35 [47360/47500]	Loss: 0.2567	LR: 0.000800
Training Epoch: 35 [47500/47500]	Loss: 0.3166	LR: 0.000800
Epoch 35 - Average Train Loss: 0.2954, Train Accuracy: 0.9111
Epoch 35 training time consumed: 26.11s
Evaluating Network.....
Test set: Epoch: 35, Average loss: 0.0030, Accuracy: 0.7870, Time consumed:0.89s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_23h_35m_53s/AllCNN-Cifar20-seed9-ret50-35-best.pth
Training Epoch: 36 [256/47500]	Loss: 0.2619	LR: 0.000800
Training Epoch: 36 [512/47500]	Loss: 0.2628	LR: 0.000800
Training Epoch: 36 [768/47500]	Loss: 0.3517	LR: 0.000800
Training Epoch: 36 [1024/47500]	Loss: 0.2522	LR: 0.000800
Training Epoch: 36 [1280/47500]	Loss: 0.2703	LR: 0.000800
Training Epoch: 36 [1536/47500]	Loss: 0.3107	LR: 0.000800
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Training Epoch: 36 [2816/47500]	Loss: 0.2899	LR: 0.000800
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Training Epoch: 36 [47360/47500]	Loss: 0.3279	LR: 0.000800
Training Epoch: 36 [47500/47500]	Loss: 0.4604	LR: 0.000800
Epoch 36 - Average Train Loss: 0.2924, Train Accuracy: 0.9123
Epoch 36 training time consumed: 26.07s
Evaluating Network.....
Test set: Epoch: 36, Average loss: 0.0030, Accuracy: 0.7891, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_23h_35m_53s/AllCNN-Cifar20-seed9-ret50-36-best.pth
Training Epoch: 37 [256/47500]	Loss: 0.2853	LR: 0.000800
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Training Epoch: 37 [32512/47500]	Loss: 0.2461	LR: 0.000800
Training Epoch: 37 [32768/47500]	Loss: 0.2281	LR: 0.000800
Training Epoch: 37 [33024/47500]	Loss: 0.2802	LR: 0.000800
Training Epoch: 37 [33280/47500]	Loss: 0.3123	LR: 0.000800
Training Epoch: 37 [33536/47500]	Loss: 0.2943	LR: 0.000800
Training Epoch: 37 [33792/47500]	Loss: 0.3196	LR: 0.000800
Training Epoch: 37 [34048/47500]	Loss: 0.3339	LR: 0.000800
Training Epoch: 37 [34304/47500]	Loss: 0.3040	LR: 0.000800
Training Epoch: 37 [34560/47500]	Loss: 0.2500	LR: 0.000800
Training Epoch: 37 [34816/47500]	Loss: 0.2758	LR: 0.000800
Training Epoch: 37 [35072/47500]	Loss: 0.2626	LR: 0.000800
Training Epoch: 37 [35328/47500]	Loss: 0.2688	LR: 0.000800
Training Epoch: 37 [35584/47500]	Loss: 0.2189	LR: 0.000800
Training Epoch: 37 [35840/47500]	Loss: 0.2159	LR: 0.000800
Training Epoch: 37 [36096/47500]	Loss: 0.3076	LR: 0.000800
Training Epoch: 37 [36352/47500]	Loss: 0.2992	LR: 0.000800
Training Epoch: 37 [36608/47500]	Loss: 0.3085	LR: 0.000800
Training Epoch: 37 [36864/47500]	Loss: 0.3046	LR: 0.000800
Training Epoch: 37 [37120/47500]	Loss: 0.2827	LR: 0.000800
Training Epoch: 37 [37376/47500]	Loss: 0.2520	LR: 0.000800
Training Epoch: 37 [37632/47500]	Loss: 0.2899	LR: 0.000800
Training Epoch: 37 [37888/47500]	Loss: 0.2669	LR: 0.000800
Training Epoch: 37 [38144/47500]	Loss: 0.3145	LR: 0.000800
Training Epoch: 37 [38400/47500]	Loss: 0.2322	LR: 0.000800
Training Epoch: 37 [38656/47500]	Loss: 0.2569	LR: 0.000800
Training Epoch: 37 [38912/47500]	Loss: 0.3038	LR: 0.000800
Training Epoch: 37 [39168/47500]	Loss: 0.2031	LR: 0.000800
Training Epoch: 37 [39424/47500]	Loss: 0.2891	LR: 0.000800
Training Epoch: 37 [39680/47500]	Loss: 0.2447	LR: 0.000800
Training Epoch: 37 [39936/47500]	Loss: 0.2383	LR: 0.000800
Training Epoch: 37 [40192/47500]	Loss: 0.2437	LR: 0.000800
Training Epoch: 37 [40448/47500]	Loss: 0.3399	LR: 0.000800
Training Epoch: 37 [40704/47500]	Loss: 0.2669	LR: 0.000800
Training Epoch: 37 [40960/47500]	Loss: 0.3074	LR: 0.000800
Training Epoch: 37 [41216/47500]	Loss: 0.2618	LR: 0.000800
Training Epoch: 37 [41472/47500]	Loss: 0.3683	LR: 0.000800
Training Epoch: 37 [41728/47500]	Loss: 0.3082	LR: 0.000800
Training Epoch: 37 [41984/47500]	Loss: 0.3009	LR: 0.000800
Training Epoch: 37 [42240/47500]	Loss: 0.3035	LR: 0.000800
Training Epoch: 37 [42496/47500]	Loss: 0.2182	LR: 0.000800
Training Epoch: 37 [42752/47500]	Loss: 0.3191	LR: 0.000800
Training Epoch: 37 [43008/47500]	Loss: 0.2684	LR: 0.000800
Training Epoch: 37 [43264/47500]	Loss: 0.3230	LR: 0.000800
Training Epoch: 37 [43520/47500]	Loss: 0.3515	LR: 0.000800
Training Epoch: 37 [43776/47500]	Loss: 0.2870	LR: 0.000800
Training Epoch: 37 [44032/47500]	Loss: 0.2853	LR: 0.000800
Training Epoch: 37 [44288/47500]	Loss: 0.2876	LR: 0.000800
Training Epoch: 37 [44544/47500]	Loss: 0.3643	LR: 0.000800
Training Epoch: 37 [44800/47500]	Loss: 0.2943	LR: 0.000800
Training Epoch: 37 [45056/47500]	Loss: 0.3007	LR: 0.000800
Training Epoch: 37 [45312/47500]	Loss: 0.2906	LR: 0.000800
Training Epoch: 37 [45568/47500]	Loss: 0.3577	LR: 0.000800
Training Epoch: 37 [45824/47500]	Loss: 0.3519	LR: 0.000800
Training Epoch: 37 [46080/47500]	Loss: 0.2767	LR: 0.000800
Training Epoch: 37 [46336/47500]	Loss: 0.3598	LR: 0.000800
Training Epoch: 37 [46592/47500]	Loss: 0.2815	LR: 0.000800
Training Epoch: 37 [46848/47500]	Loss: 0.3201	LR: 0.000800
Training Epoch: 37 [47104/47500]	Loss: 0.2561	LR: 0.000800
Training Epoch: 37 [47360/47500]	Loss: 0.2363	LR: 0.000800
Training Epoch: 37 [47500/47500]	Loss: 0.3261	LR: 0.000800
Epoch 37 - Average Train Loss: 0.2883, Train Accuracy: 0.9140
Epoch 37 training time consumed: 26.34s
Evaluating Network.....
Test set: Epoch: 37, Average loss: 0.0030, Accuracy: 0.7864, Time consumed:0.88s
Training Epoch: 38 [256/47500]	Loss: 0.2286	LR: 0.000800
Training Epoch: 38 [512/47500]	Loss: 0.2749	LR: 0.000800
Training Epoch: 38 [768/47500]	Loss: 0.3304	LR: 0.000800
Training Epoch: 38 [1024/47500]	Loss: 0.2574	LR: 0.000800
Training Epoch: 38 [1280/47500]	Loss: 0.2917	LR: 0.000800
Training Epoch: 38 [1536/47500]	Loss: 0.2579	LR: 0.000800
Training Epoch: 38 [1792/47500]	Loss: 0.2579	LR: 0.000800
Training Epoch: 38 [2048/47500]	Loss: 0.2662	LR: 0.000800
Training Epoch: 38 [2304/47500]	Loss: 0.3206	LR: 0.000800
Training Epoch: 38 [2560/47500]	Loss: 0.3070	LR: 0.000800
Training Epoch: 38 [2816/47500]	Loss: 0.2881	LR: 0.000800
Training Epoch: 38 [3072/47500]	Loss: 0.2932	LR: 0.000800
Training Epoch: 38 [3328/47500]	Loss: 0.2979	LR: 0.000800
Training Epoch: 38 [3584/47500]	Loss: 0.2847	LR: 0.000800
Training Epoch: 38 [3840/47500]	Loss: 0.2882	LR: 0.000800
Training Epoch: 38 [4096/47500]	Loss: 0.2924	LR: 0.000800
Training Epoch: 38 [4352/47500]	Loss: 0.2627	LR: 0.000800
Training Epoch: 38 [4608/47500]	Loss: 0.3454	LR: 0.000800
Training Epoch: 38 [4864/47500]	Loss: 0.3103	LR: 0.000800
Training Epoch: 38 [5120/47500]	Loss: 0.2387	LR: 0.000800
Training Epoch: 38 [5376/47500]	Loss: 0.3167	LR: 0.000800
Training Epoch: 38 [5632/47500]	Loss: 0.3108	LR: 0.000800
Training Epoch: 38 [5888/47500]	Loss: 0.2737	LR: 0.000800
Training Epoch: 38 [6144/47500]	Loss: 0.2639	LR: 0.000800
Training Epoch: 38 [6400/47500]	Loss: 0.2734	LR: 0.000800
Training Epoch: 38 [6656/47500]	Loss: 0.3343	LR: 0.000800
Training Epoch: 38 [6912/47500]	Loss: 0.3416	LR: 0.000800
Training Epoch: 38 [7168/47500]	Loss: 0.2446	LR: 0.000800
Training Epoch: 38 [7424/47500]	Loss: 0.3349	LR: 0.000800
Training Epoch: 38 [7680/47500]	Loss: 0.3210	LR: 0.000800
Training Epoch: 38 [7936/47500]	Loss: 0.3350	LR: 0.000800
Training Epoch: 38 [8192/47500]	Loss: 0.2784	LR: 0.000800
Training Epoch: 38 [8448/47500]	Loss: 0.2413	LR: 0.000800
Training Epoch: 38 [8704/47500]	Loss: 0.3101	LR: 0.000800
Training Epoch: 38 [8960/47500]	Loss: 0.2806	LR: 0.000800
Training Epoch: 38 [9216/47500]	Loss: 0.2737	LR: 0.000800
Training Epoch: 38 [9472/47500]	Loss: 0.2587	LR: 0.000800
Training Epoch: 38 [9728/47500]	Loss: 0.3048	LR: 0.000800
Training Epoch: 38 [9984/47500]	Loss: 0.4213	LR: 0.000800
Training Epoch: 38 [10240/47500]	Loss: 0.3755	LR: 0.000800
Training Epoch: 38 [10496/47500]	Loss: 0.2939	LR: 0.000800
Training Epoch: 38 [10752/47500]	Loss: 0.2639	LR: 0.000800
Training Epoch: 38 [11008/47500]	Loss: 0.3010	LR: 0.000800
Training Epoch: 38 [11264/47500]	Loss: 0.3462	LR: 0.000800
Training Epoch: 38 [11520/47500]	Loss: 0.2752	LR: 0.000800
Training Epoch: 38 [11776/47500]	Loss: 0.3384	LR: 0.000800
Training Epoch: 38 [12032/47500]	Loss: 0.2676	LR: 0.000800
Training Epoch: 38 [12288/47500]	Loss: 0.2717	LR: 0.000800
Training Epoch: 38 [12544/47500]	Loss: 0.3056	LR: 0.000800
Training Epoch: 38 [12800/47500]	Loss: 0.2457	LR: 0.000800
Training Epoch: 38 [13056/47500]	Loss: 0.2588	LR: 0.000800
Training Epoch: 38 [13312/47500]	Loss: 0.3317	LR: 0.000800
Training Epoch: 38 [13568/47500]	Loss: 0.2991	LR: 0.000800
Training Epoch: 38 [13824/47500]	Loss: 0.2915	LR: 0.000800
Training Epoch: 38 [14080/47500]	Loss: 0.2875	LR: 0.000800
Training Epoch: 38 [14336/47500]	Loss: 0.2618	LR: 0.000800
Training Epoch: 38 [14592/47500]	Loss: 0.3113	LR: 0.000800
Training Epoch: 38 [14848/47500]	Loss: 0.3211	LR: 0.000800
Training Epoch: 38 [15104/47500]	Loss: 0.2215	LR: 0.000800
Training Epoch: 38 [15360/47500]	Loss: 0.3130	LR: 0.000800
Training Epoch: 38 [15616/47500]	Loss: 0.2833	LR: 0.000800
Training Epoch: 38 [15872/47500]	Loss: 0.2323	LR: 0.000800
Training Epoch: 38 [16128/47500]	Loss: 0.2806	LR: 0.000800
Training Epoch: 38 [16384/47500]	Loss: 0.2550	LR: 0.000800
Training Epoch: 38 [16640/47500]	Loss: 0.3054	LR: 0.000800
Training Epoch: 38 [16896/47500]	Loss: 0.3419	LR: 0.000800
Training Epoch: 38 [17152/47500]	Loss: 0.2985	LR: 0.000800
Training Epoch: 38 [17408/47500]	Loss: 0.3369	LR: 0.000800
Training Epoch: 38 [17664/47500]	Loss: 0.2345	LR: 0.000800
Training Epoch: 38 [17920/47500]	Loss: 0.2718	LR: 0.000800
Training Epoch: 38 [18176/47500]	Loss: 0.2349	LR: 0.000800
Training Epoch: 38 [18432/47500]	Loss: 0.2814	LR: 0.000800
Training Epoch: 38 [18688/47500]	Loss: 0.2920	LR: 0.000800
Training Epoch: 38 [18944/47500]	Loss: 0.3013	LR: 0.000800
Training Epoch: 38 [19200/47500]	Loss: 0.2892	LR: 0.000800
Training Epoch: 38 [19456/47500]	Loss: 0.2809	LR: 0.000800
Training Epoch: 38 [19712/47500]	Loss: 0.2153	LR: 0.000800
Training Epoch: 38 [19968/47500]	Loss: 0.3435	LR: 0.000800
Training Epoch: 38 [20224/47500]	Loss: 0.2829	LR: 0.000800
Training Epoch: 38 [20480/47500]	Loss: 0.3518	LR: 0.000800
Training Epoch: 38 [20736/47500]	Loss: 0.2763	LR: 0.000800
Training Epoch: 38 [20992/47500]	Loss: 0.2807	LR: 0.000800
Training Epoch: 38 [21248/47500]	Loss: 0.3155	LR: 0.000800
Training Epoch: 38 [21504/47500]	Loss: 0.2773	LR: 0.000800
Training Epoch: 38 [21760/47500]	Loss: 0.2626	LR: 0.000800
Training Epoch: 38 [22016/47500]	Loss: 0.3060	LR: 0.000800
Training Epoch: 38 [22272/47500]	Loss: 0.2284	LR: 0.000800
Training Epoch: 38 [22528/47500]	Loss: 0.2755	LR: 0.000800
Training Epoch: 38 [22784/47500]	Loss: 0.2886	LR: 0.000800
Training Epoch: 38 [23040/47500]	Loss: 0.3205	LR: 0.000800
Training Epoch: 38 [23296/47500]	Loss: 0.3102	LR: 0.000800
Training Epoch: 38 [23552/47500]	Loss: 0.3014	LR: 0.000800
Training Epoch: 38 [23808/47500]	Loss: 0.2857	LR: 0.000800
Training Epoch: 38 [24064/47500]	Loss: 0.3624	LR: 0.000800
Training Epoch: 38 [24320/47500]	Loss: 0.2821	LR: 0.000800
Training Epoch: 38 [24576/47500]	Loss: 0.2581	LR: 0.000800
Training Epoch: 38 [24832/47500]	Loss: 0.3056	LR: 0.000800
Training Epoch: 38 [25088/47500]	Loss: 0.2802	LR: 0.000800
Training Epoch: 38 [25344/47500]	Loss: 0.2816	LR: 0.000800
Training Epoch: 38 [25600/47500]	Loss: 0.2995	LR: 0.000800
Training Epoch: 38 [25856/47500]	Loss: 0.3087	LR: 0.000800
Training Epoch: 38 [26112/47500]	Loss: 0.3402	LR: 0.000800
Training Epoch: 38 [26368/47500]	Loss: 0.3079	LR: 0.000800
Training Epoch: 38 [26624/47500]	Loss: 0.3130	LR: 0.000800
Training Epoch: 38 [26880/47500]	Loss: 0.3201	LR: 0.000800
Training Epoch: 38 [27136/47500]	Loss: 0.2886	LR: 0.000800
Training Epoch: 38 [27392/47500]	Loss: 0.2771	LR: 0.000800
Training Epoch: 38 [27648/47500]	Loss: 0.2881	LR: 0.000800
Training Epoch: 38 [27904/47500]	Loss: 0.2845	LR: 0.000800
Training Epoch: 38 [28160/47500]	Loss: 0.2749	LR: 0.000800
Training Epoch: 38 [28416/47500]	Loss: 0.2872	LR: 0.000800
Training Epoch: 38 [28672/47500]	Loss: 0.3008	LR: 0.000800
Training Epoch: 38 [28928/47500]	Loss: 0.2532	LR: 0.000800
Training Epoch: 38 [29184/47500]	Loss: 0.2812	LR: 0.000800
Training Epoch: 38 [29440/47500]	Loss: 0.2826	LR: 0.000800
Training Epoch: 38 [29696/47500]	Loss: 0.3474	LR: 0.000800
Training Epoch: 38 [29952/47500]	Loss: 0.2740	LR: 0.000800
Training Epoch: 38 [30208/47500]	Loss: 0.3027	LR: 0.000800
Training Epoch: 38 [30464/47500]	Loss: 0.2864	LR: 0.000800
Training Epoch: 38 [30720/47500]	Loss: 0.3427	LR: 0.000800
Training Epoch: 38 [30976/47500]	Loss: 0.3049	LR: 0.000800
Training Epoch: 38 [31232/47500]	Loss: 0.2838	LR: 0.000800
Training Epoch: 38 [31488/47500]	Loss: 0.2516	LR: 0.000800
Training Epoch: 38 [31744/47500]	Loss: 0.2372	LR: 0.000800
Training Epoch: 38 [32000/47500]	Loss: 0.1960	LR: 0.000800
Training Epoch: 38 [32256/47500]	Loss: 0.2948	LR: 0.000800
Training Epoch: 38 [32512/47500]	Loss: 0.2512	LR: 0.000800
Training Epoch: 38 [32768/47500]	Loss: 0.2620	LR: 0.000800
Training Epoch: 38 [33024/47500]	Loss: 0.2921	LR: 0.000800
Training Epoch: 38 [33280/47500]	Loss: 0.2524	LR: 0.000800
Training Epoch: 38 [33536/47500]	Loss: 0.3881	LR: 0.000800
Training Epoch: 38 [33792/47500]	Loss: 0.3087	LR: 0.000800
Training Epoch: 38 [34048/47500]	Loss: 0.2593	LR: 0.000800
Training Epoch: 38 [34304/47500]	Loss: 0.3373	LR: 0.000800
Training Epoch: 38 [34560/47500]	Loss: 0.3008	LR: 0.000800
Training Epoch: 38 [34816/47500]	Loss: 0.2719	LR: 0.000800
Training Epoch: 38 [35072/47500]	Loss: 0.3606	LR: 0.000800
Training Epoch: 38 [35328/47500]	Loss: 0.2416	LR: 0.000800
Training Epoch: 38 [35584/47500]	Loss: 0.2382	LR: 0.000800
Training Epoch: 38 [35840/47500]	Loss: 0.2746	LR: 0.000800
Training Epoch: 38 [36096/47500]	Loss: 0.2643	LR: 0.000800
Training Epoch: 38 [36352/47500]	Loss: 0.2659	LR: 0.000800
Training Epoch: 38 [36608/47500]	Loss: 0.1889	LR: 0.000800
Training Epoch: 38 [36864/47500]	Loss: 0.2427	LR: 0.000800
Training Epoch: 38 [37120/47500]	Loss: 0.2922	LR: 0.000800
Training Epoch: 38 [37376/47500]	Loss: 0.2762	LR: 0.000800
Training Epoch: 38 [37632/47500]	Loss: 0.2220	LR: 0.000800
Training Epoch: 38 [37888/47500]	Loss: 0.2407	LR: 0.000800
Training Epoch: 38 [38144/47500]	Loss: 0.3296	LR: 0.000800
Training Epoch: 38 [38400/47500]	Loss: 0.2233	LR: 0.000800
Training Epoch: 38 [38656/47500]	Loss: 0.3622	LR: 0.000800
Training Epoch: 38 [38912/47500]	Loss: 0.3289	LR: 0.000800
Training Epoch: 38 [39168/47500]	Loss: 0.3258	LR: 0.000800
Training Epoch: 38 [39424/47500]	Loss: 0.2814	LR: 0.000800
Training Epoch: 38 [39680/47500]	Loss: 0.2388	LR: 0.000800
Training Epoch: 38 [39936/47500]	Loss: 0.2417	LR: 0.000800
Training Epoch: 38 [40192/47500]	Loss: 0.2985	LR: 0.000800
Training Epoch: 38 [40448/47500]	Loss: 0.3022	LR: 0.000800
Training Epoch: 38 [40704/47500]	Loss: 0.2148	LR: 0.000800
Training Epoch: 38 [40960/47500]	Loss: 0.2241	LR: 0.000800
Training Epoch: 38 [41216/47500]	Loss: 0.2763	LR: 0.000800
Training Epoch: 38 [41472/47500]	Loss: 0.2693	LR: 0.000800
Training Epoch: 38 [41728/47500]	Loss: 0.2505	LR: 0.000800
Training Epoch: 38 [41984/47500]	Loss: 0.2812	LR: 0.000800
Training Epoch: 38 [42240/47500]	Loss: 0.2975	LR: 0.000800
Training Epoch: 38 [42496/47500]	Loss: 0.3363	LR: 0.000800
Training Epoch: 38 [42752/47500]	Loss: 0.2926	LR: 0.000800
Training Epoch: 38 [43008/47500]	Loss: 0.2369	LR: 0.000800
Training Epoch: 38 [43264/47500]	Loss: 0.2329	LR: 0.000800
Training Epoch: 38 [43520/47500]	Loss: 0.2929	LR: 0.000800
Training Epoch: 38 [43776/47500]	Loss: 0.3854	LR: 0.000800
Training Epoch: 38 [44032/47500]	Loss: 0.3440	LR: 0.000800
Training Epoch: 38 [44288/47500]	Loss: 0.2607	LR: 0.000800
Training Epoch: 38 [44544/47500]	Loss: 0.3170	LR: 0.000800
Training Epoch: 38 [44800/47500]	Loss: 0.3466	LR: 0.000800
Training Epoch: 38 [45056/47500]	Loss: 0.2872	LR: 0.000800
Training Epoch: 38 [45312/47500]	Loss: 0.3540	LR: 0.000800
Training Epoch: 38 [45568/47500]	Loss: 0.2600	LR: 0.000800
Training Epoch: 38 [45824/47500]	Loss: 0.2749	LR: 0.000800
Training Epoch: 38 [46080/47500]	Loss: 0.2758	LR: 0.000800
Training Epoch: 38 [46336/47500]	Loss: 0.2590	LR: 0.000800
Training Epoch: 38 [46592/47500]	Loss: 0.2783	LR: 0.000800
Training Epoch: 38 [46848/47500]	Loss: 0.2346	LR: 0.000800
Training Epoch: 38 [47104/47500]	Loss: 0.2532	LR: 0.000800
Training Epoch: 38 [47360/47500]	Loss: 0.2745	LR: 0.000800
Training Epoch: 38 [47500/47500]	Loss: 0.3220	LR: 0.000800
Epoch 38 - Average Train Loss: 0.2877, Train Accuracy: 0.9155
Epoch 38 training time consumed: 26.13s
Evaluating Network.....
Test set: Epoch: 38, Average loss: 0.0030, Accuracy: 0.7879, Time consumed:0.87s
Training Epoch: 39 [256/47500]	Loss: 0.2535	LR: 0.000800
Training Epoch: 39 [512/47500]	Loss: 0.3339	LR: 0.000800
Training Epoch: 39 [768/47500]	Loss: 0.2297	LR: 0.000800
Training Epoch: 39 [1024/47500]	Loss: 0.2960	LR: 0.000800
Training Epoch: 39 [1280/47500]	Loss: 0.2791	LR: 0.000800
Training Epoch: 39 [1536/47500]	Loss: 0.2301	LR: 0.000800
Training Epoch: 39 [1792/47500]	Loss: 0.2673	LR: 0.000800
Training Epoch: 39 [2048/47500]	Loss: 0.2298	LR: 0.000800
Training Epoch: 39 [2304/47500]	Loss: 0.2453	LR: 0.000800
Training Epoch: 39 [2560/47500]	Loss: 0.2974	LR: 0.000800
Training Epoch: 39 [2816/47500]	Loss: 0.2422	LR: 0.000800
Training Epoch: 39 [3072/47500]	Loss: 0.2906	LR: 0.000800
Training Epoch: 39 [3328/47500]	Loss: 0.3113	LR: 0.000800
Training Epoch: 39 [3584/47500]	Loss: 0.2333	LR: 0.000800
Training Epoch: 39 [3840/47500]	Loss: 0.2701	LR: 0.000800
Training Epoch: 39 [4096/47500]	Loss: 0.2998	LR: 0.000800
Training Epoch: 39 [4352/47500]	Loss: 0.2748	LR: 0.000800
Training Epoch: 39 [4608/47500]	Loss: 0.2751	LR: 0.000800
Training Epoch: 39 [4864/47500]	Loss: 0.3154	LR: 0.000800
Training Epoch: 39 [5120/47500]	Loss: 0.2760	LR: 0.000800
Training Epoch: 39 [5376/47500]	Loss: 0.2894	LR: 0.000800
Training Epoch: 39 [5632/47500]	Loss: 0.3363	LR: 0.000800
Training Epoch: 39 [5888/47500]	Loss: 0.3116	LR: 0.000800
Training Epoch: 39 [6144/47500]	Loss: 0.3502	LR: 0.000800
Training Epoch: 39 [6400/47500]	Loss: 0.3164	LR: 0.000800
Training Epoch: 39 [6656/47500]	Loss: 0.2765	LR: 0.000800
Training Epoch: 39 [6912/47500]	Loss: 0.3022	LR: 0.000800
Training Epoch: 39 [7168/47500]	Loss: 0.3275	LR: 0.000800
Training Epoch: 39 [7424/47500]	Loss: 0.2846	LR: 0.000800
Training Epoch: 39 [7680/47500]	Loss: 0.3057	LR: 0.000800
Training Epoch: 39 [7936/47500]	Loss: 0.3742	LR: 0.000800
Training Epoch: 39 [8192/47500]	Loss: 0.3136	LR: 0.000800
Training Epoch: 39 [8448/47500]	Loss: 0.2642	LR: 0.000800
Training Epoch: 39 [8704/47500]	Loss: 0.2326	LR: 0.000800
Training Epoch: 39 [8960/47500]	Loss: 0.2931	LR: 0.000800
Training Epoch: 39 [9216/47500]	Loss: 0.2426	LR: 0.000800
Training Epoch: 39 [9472/47500]	Loss: 0.2553	LR: 0.000800
Training Epoch: 39 [9728/47500]	Loss: 0.2955	LR: 0.000800
Training Epoch: 39 [9984/47500]	Loss: 0.2533	LR: 0.000800
Training Epoch: 39 [10240/47500]	Loss: 0.2327	LR: 0.000800
Training Epoch: 39 [10496/47500]	Loss: 0.2601	LR: 0.000800
Training Epoch: 39 [10752/47500]	Loss: 0.3407	LR: 0.000800
Training Epoch: 39 [11008/47500]	Loss: 0.2442	LR: 0.000800
Training Epoch: 39 [11264/47500]	Loss: 0.2300	LR: 0.000800
Training Epoch: 39 [11520/47500]	Loss: 0.3182	LR: 0.000800
Training Epoch: 39 [11776/47500]	Loss: 0.2806	LR: 0.000800
Training Epoch: 39 [12032/47500]	Loss: 0.2618	LR: 0.000800
Training Epoch: 39 [12288/47500]	Loss: 0.2832	LR: 0.000800
Training Epoch: 39 [12544/47500]	Loss: 0.2927	LR: 0.000800
Training Epoch: 39 [12800/47500]	Loss: 0.2825	LR: 0.000800
Training Epoch: 39 [13056/47500]	Loss: 0.3260	LR: 0.000800
Training Epoch: 39 [13312/47500]	Loss: 0.2962	LR: 0.000800
Training Epoch: 39 [13568/47500]	Loss: 0.3102	LR: 0.000800
Training Epoch: 39 [13824/47500]	Loss: 0.2944	LR: 0.000800
Training Epoch: 39 [14080/47500]	Loss: 0.2619	LR: 0.000800
Training Epoch: 39 [14336/47500]	Loss: 0.2369	LR: 0.000800
Training Epoch: 39 [14592/47500]	Loss: 0.2395	LR: 0.000800
Training Epoch: 39 [14848/47500]	Loss: 0.3317	LR: 0.000800
Training Epoch: 39 [15104/47500]	Loss: 0.3340	LR: 0.000800
Training Epoch: 39 [15360/47500]	Loss: 0.3534	LR: 0.000800
Training Epoch: 39 [15616/47500]	Loss: 0.2324	LR: 0.000800
Training Epoch: 39 [15872/47500]	Loss: 0.2618	LR: 0.000800
Training Epoch: 39 [16128/47500]	Loss: 0.3340	LR: 0.000800
Training Epoch: 39 [16384/47500]	Loss: 0.2884	LR: 0.000800
Training Epoch: 39 [16640/47500]	Loss: 0.3200	LR: 0.000800
Training Epoch: 39 [16896/47500]	Loss: 0.2958	LR: 0.000800
Training Epoch: 39 [17152/47500]	Loss: 0.3000	LR: 0.000800
Training Epoch: 39 [17408/47500]	Loss: 0.3086	LR: 0.000800
Training Epoch: 39 [17664/47500]	Loss: 0.3003	LR: 0.000800
Training Epoch: 39 [17920/47500]	Loss: 0.2952	LR: 0.000800
Training Epoch: 39 [18176/47500]	Loss: 0.3360	LR: 0.000800
Training Epoch: 39 [18432/47500]	Loss: 0.2518	LR: 0.000800
Training Epoch: 39 [18688/47500]	Loss: 0.2437	LR: 0.000800
Training Epoch: 39 [18944/47500]	Loss: 0.2882	LR: 0.000800
Training Epoch: 39 [19200/47500]	Loss: 0.2687	LR: 0.000800
Training Epoch: 39 [19456/47500]	Loss: 0.2869	LR: 0.000800
Training Epoch: 39 [19712/47500]	Loss: 0.4155	LR: 0.000800
Training Epoch: 39 [19968/47500]	Loss: 0.2445	LR: 0.000800
Training Epoch: 39 [20224/47500]	Loss: 0.3010	LR: 0.000800
Training Epoch: 39 [20480/47500]	Loss: 0.2861	LR: 0.000800
Training Epoch: 39 [20736/47500]	Loss: 0.2596	LR: 0.000800
Training Epoch: 39 [20992/47500]	Loss: 0.2364	LR: 0.000800
Training Epoch: 39 [21248/47500]	Loss: 0.2697	LR: 0.000800
Training Epoch: 39 [21504/47500]	Loss: 0.3321	LR: 0.000800
Training Epoch: 39 [21760/47500]	Loss: 0.2754	LR: 0.000800
Training Epoch: 39 [22016/47500]	Loss: 0.2784	LR: 0.000800
Training Epoch: 39 [22272/47500]	Loss: 0.2614	LR: 0.000800
Training Epoch: 39 [22528/47500]	Loss: 0.2595	LR: 0.000800
Training Epoch: 39 [22784/47500]	Loss: 0.2544	LR: 0.000800
Training Epoch: 39 [23040/47500]	Loss: 0.2538	LR: 0.000800
Training Epoch: 39 [23296/47500]	Loss: 0.2432	LR: 0.000800
Training Epoch: 39 [23552/47500]	Loss: 0.3091	LR: 0.000800
Training Epoch: 39 [23808/47500]	Loss: 0.2856	LR: 0.000800
Training Epoch: 39 [24064/47500]	Loss: 0.3173	LR: 0.000800
Training Epoch: 39 [24320/47500]	Loss: 0.2987	LR: 0.000800
Training Epoch: 39 [24576/47500]	Loss: 0.2820	LR: 0.000800
Training Epoch: 39 [24832/47500]	Loss: 0.2555	LR: 0.000800
Training Epoch: 39 [25088/47500]	Loss: 0.2332	LR: 0.000800
Training Epoch: 39 [25344/47500]	Loss: 0.3201	LR: 0.000800
Training Epoch: 39 [25600/47500]	Loss: 0.2783	LR: 0.000800
Training Epoch: 39 [25856/47500]	Loss: 0.2998	LR: 0.000800
Training Epoch: 39 [26112/47500]	Loss: 0.3781	LR: 0.000800
Training Epoch: 39 [26368/47500]	Loss: 0.2663	LR: 0.000800
Training Epoch: 39 [26624/47500]	Loss: 0.2423	LR: 0.000800
Training Epoch: 39 [26880/47500]	Loss: 0.2819	LR: 0.000800
Training Epoch: 39 [27136/47500]	Loss: 0.2784	LR: 0.000800
Training Epoch: 39 [27392/47500]	Loss: 0.2247	LR: 0.000800
Training Epoch: 39 [27648/47500]	Loss: 0.2260	LR: 0.000800
Training Epoch: 39 [27904/47500]	Loss: 0.2789	LR: 0.000800
Training Epoch: 39 [28160/47500]	Loss: 0.2787	LR: 0.000800
Training Epoch: 39 [28416/47500]	Loss: 0.2862	LR: 0.000800
Training Epoch: 39 [28672/47500]	Loss: 0.2743	LR: 0.000800
Training Epoch: 39 [28928/47500]	Loss: 0.2527	LR: 0.000800
Training Epoch: 39 [29184/47500]	Loss: 0.2876	LR: 0.000800
Training Epoch: 39 [29440/47500]	Loss: 0.3583	LR: 0.000800
Training Epoch: 39 [29696/47500]	Loss: 0.2833	LR: 0.000800
Training Epoch: 39 [29952/47500]	Loss: 0.2601	LR: 0.000800
Training Epoch: 39 [30208/47500]	Loss: 0.2859	LR: 0.000800
Training Epoch: 39 [30464/47500]	Loss: 0.2580	LR: 0.000800
Training Epoch: 39 [30720/47500]	Loss: 0.2844	LR: 0.000800
Training Epoch: 39 [30976/47500]	Loss: 0.2643	LR: 0.000800
Training Epoch: 39 [31232/47500]	Loss: 0.3136	LR: 0.000800
Training Epoch: 39 [31488/47500]	Loss: 0.3170	LR: 0.000800
Training Epoch: 39 [31744/47500]	Loss: 0.3404	LR: 0.000800
Training Epoch: 39 [32000/47500]	Loss: 0.3386	LR: 0.000800
Training Epoch: 39 [32256/47500]	Loss: 0.2862	LR: 0.000800
Training Epoch: 39 [32512/47500]	Loss: 0.2802	LR: 0.000800
Training Epoch: 39 [32768/47500]	Loss: 0.2505	LR: 0.000800
Training Epoch: 39 [33024/47500]	Loss: 0.3050	LR: 0.000800
Training Epoch: 39 [33280/47500]	Loss: 0.2970	LR: 0.000800
Training Epoch: 39 [33536/47500]	Loss: 0.2499	LR: 0.000800
Training Epoch: 39 [33792/47500]	Loss: 0.2791	LR: 0.000800
Training Epoch: 39 [34048/47500]	Loss: 0.2036	LR: 0.000800
Training Epoch: 39 [34304/47500]	Loss: 0.3498	LR: 0.000800
Training Epoch: 39 [34560/47500]	Loss: 0.2200	LR: 0.000800
Training Epoch: 39 [34816/47500]	Loss: 0.2621	LR: 0.000800
Training Epoch: 39 [35072/47500]	Loss: 0.2499	LR: 0.000800
Training Epoch: 39 [35328/47500]	Loss: 0.2914	LR: 0.000800
Training Epoch: 39 [35584/47500]	Loss: 0.2934	LR: 0.000800
Training Epoch: 39 [35840/47500]	Loss: 0.2745	LR: 0.000800
Training Epoch: 39 [36096/47500]	Loss: 0.3619	LR: 0.000800
Training Epoch: 39 [36352/47500]	Loss: 0.2614	LR: 0.000800
Training Epoch: 39 [36608/47500]	Loss: 0.2207	LR: 0.000800
Training Epoch: 39 [36864/47500]	Loss: 0.2891	LR: 0.000800
Training Epoch: 39 [37120/47500]	Loss: 0.3173	LR: 0.000800
Training Epoch: 39 [37376/47500]	Loss: 0.3266	LR: 0.000800
Training Epoch: 39 [37632/47500]	Loss: 0.2982	LR: 0.000800
Training Epoch: 39 [37888/47500]	Loss: 0.3277	LR: 0.000800
Training Epoch: 39 [38144/47500]	Loss: 0.2644	LR: 0.000800
Training Epoch: 39 [38400/47500]	Loss: 0.2377	LR: 0.000800
Training Epoch: 39 [38656/47500]	Loss: 0.2797	LR: 0.000800
Training Epoch: 39 [38912/47500]	Loss: 0.2937	LR: 0.000800
Training Epoch: 39 [39168/47500]	Loss: 0.2659	LR: 0.000800
Training Epoch: 39 [39424/47500]	Loss: 0.3589	LR: 0.000800
Training Epoch: 39 [39680/47500]	Loss: 0.2464	LR: 0.000800
Training Epoch: 39 [39936/47500]	Loss: 0.2501	LR: 0.000800
Training Epoch: 39 [40192/47500]	Loss: 0.2988	LR: 0.000800
Training Epoch: 39 [40448/47500]	Loss: 0.2877	LR: 0.000800
Training Epoch: 39 [40704/47500]	Loss: 0.2623	LR: 0.000800
Training Epoch: 39 [40960/47500]	Loss: 0.3007	LR: 0.000800
Training Epoch: 39 [41216/47500]	Loss: 0.2678	LR: 0.000800
Training Epoch: 39 [41472/47500]	Loss: 0.2110	LR: 0.000800
Training Epoch: 39 [41728/47500]	Loss: 0.3211	LR: 0.000800
Training Epoch: 39 [41984/47500]	Loss: 0.3063	LR: 0.000800
Training Epoch: 39 [42240/47500]	Loss: 0.3014	LR: 0.000800
Training Epoch: 39 [42496/47500]	Loss: 0.2491	LR: 0.000800
Training Epoch: 39 [42752/47500]	Loss: 0.2642	LR: 0.000800
Training Epoch: 39 [43008/47500]	Loss: 0.3101	LR: 0.000800
Training Epoch: 39 [43264/47500]	Loss: 0.2464	LR: 0.000800
Training Epoch: 39 [43520/47500]	Loss: 0.3050	LR: 0.000800
Training Epoch: 39 [43776/47500]	Loss: 0.3319	LR: 0.000800
Training Epoch: 39 [44032/47500]	Loss: 0.2929	LR: 0.000800
Training Epoch: 39 [44288/47500]	Loss: 0.2892	LR: 0.000800
Training Epoch: 39 [44544/47500]	Loss: 0.2981	LR: 0.000800
Training Epoch: 39 [44800/47500]	Loss: 0.3204	LR: 0.000800
Training Epoch: 39 [45056/47500]	Loss: 0.2631	LR: 0.000800
Training Epoch: 39 [45312/47500]	Loss: 0.2715	LR: 0.000800
Training Epoch: 39 [45568/47500]	Loss: 0.2786	LR: 0.000800
Training Epoch: 39 [45824/47500]	Loss: 0.2826	LR: 0.000800
Training Epoch: 39 [46080/47500]	Loss: 0.2570	LR: 0.000800
Training Epoch: 39 [46336/47500]	Loss: 0.2499	LR: 0.000800
Training Epoch: 39 [46592/47500]	Loss: 0.3465	LR: 0.000800
Training Epoch: 39 [46848/47500]	Loss: 0.2787	LR: 0.000800
Training Epoch: 39 [47104/47500]	Loss: 0.2724	LR: 0.000800
Training Epoch: 39 [47360/47500]	Loss: 0.2596	LR: 0.000800
Training Epoch: 39 [47500/47500]	Loss: 0.3268	LR: 0.000800
Epoch 39 - Average Train Loss: 0.2840, Train Accuracy: 0.9152
Epoch 39 training time consumed: 26.16s
Evaluating Network.....
Test set: Epoch: 39, Average loss: 0.0030, Accuracy: 0.7875, Time consumed:0.96s
Training Epoch: 40 [256/47500]	Loss: 0.2692	LR: 0.000800
Training Epoch: 40 [512/47500]	Loss: 0.2337	LR: 0.000800
Training Epoch: 40 [768/47500]	Loss: 0.3152	LR: 0.000800
Training Epoch: 40 [1024/47500]	Loss: 0.2802	LR: 0.000800
Training Epoch: 40 [1280/47500]	Loss: 0.3141	LR: 0.000800
Training Epoch: 40 [1536/47500]	Loss: 0.2635	LR: 0.000800
Training Epoch: 40 [1792/47500]	Loss: 0.2454	LR: 0.000800
Training Epoch: 40 [2048/47500]	Loss: 0.2586	LR: 0.000800
Training Epoch: 40 [2304/47500]	Loss: 0.2473	LR: 0.000800
Training Epoch: 40 [2560/47500]	Loss: 0.2947	LR: 0.000800
Training Epoch: 40 [2816/47500]	Loss: 0.2635	LR: 0.000800
Training Epoch: 40 [3072/47500]	Loss: 0.3543	LR: 0.000800
Training Epoch: 40 [3328/47500]	Loss: 0.2753	LR: 0.000800
Training Epoch: 40 [3584/47500]	Loss: 0.2732	LR: 0.000800
Training Epoch: 40 [3840/47500]	Loss: 0.2742	LR: 0.000800
Training Epoch: 40 [4096/47500]	Loss: 0.3087	LR: 0.000800
Training Epoch: 40 [4352/47500]	Loss: 0.2527	LR: 0.000800
Training Epoch: 40 [4608/47500]	Loss: 0.2593	LR: 0.000800
Training Epoch: 40 [4864/47500]	Loss: 0.2498	LR: 0.000800
Training Epoch: 40 [5120/47500]	Loss: 0.2789	LR: 0.000800
Training Epoch: 40 [5376/47500]	Loss: 0.2383	LR: 0.000800
Training Epoch: 40 [5632/47500]	Loss: 0.2600	LR: 0.000800
Training Epoch: 40 [5888/47500]	Loss: 0.3598	LR: 0.000800
Training Epoch: 40 [6144/47500]	Loss: 0.2971	LR: 0.000800
Training Epoch: 40 [6400/47500]	Loss: 0.2814	LR: 0.000800
Training Epoch: 40 [6656/47500]	Loss: 0.2505	LR: 0.000800
Training Epoch: 40 [6912/47500]	Loss: 0.2663	LR: 0.000800
Training Epoch: 40 [7168/47500]	Loss: 0.2553	LR: 0.000800
Training Epoch: 40 [7424/47500]	Loss: 0.2836	LR: 0.000800
Training Epoch: 40 [7680/47500]	Loss: 0.3145	LR: 0.000800
Training Epoch: 40 [7936/47500]	Loss: 0.3282	LR: 0.000800
Training Epoch: 40 [8192/47500]	Loss: 0.2734	LR: 0.000800
Training Epoch: 40 [8448/47500]	Loss: 0.2900	LR: 0.000800
Training Epoch: 40 [8704/47500]	Loss: 0.3337	LR: 0.000800
Training Epoch: 40 [8960/47500]	Loss: 0.2715	LR: 0.000800
Training Epoch: 40 [9216/47500]	Loss: 0.2796	LR: 0.000800
Training Epoch: 40 [9472/47500]	Loss: 0.2918	LR: 0.000800
Training Epoch: 40 [9728/47500]	Loss: 0.2997	LR: 0.000800
Training Epoch: 40 [9984/47500]	Loss: 0.2512	LR: 0.000800
Training Epoch: 40 [10240/47500]	Loss: 0.2685	LR: 0.000800
Training Epoch: 40 [10496/47500]	Loss: 0.2581	LR: 0.000800
Training Epoch: 40 [10752/47500]	Loss: 0.2607	LR: 0.000800
Training Epoch: 40 [11008/47500]	Loss: 0.3581	LR: 0.000800
Training Epoch: 40 [11264/47500]	Loss: 0.2545	LR: 0.000800
Training Epoch: 40 [11520/47500]	Loss: 0.2415	LR: 0.000800
Training Epoch: 40 [11776/47500]	Loss: 0.2851	LR: 0.000800
Training Epoch: 40 [12032/47500]	Loss: 0.2897	LR: 0.000800
Training Epoch: 40 [12288/47500]	Loss: 0.3028	LR: 0.000800
Training Epoch: 40 [12544/47500]	Loss: 0.2198	LR: 0.000800
Training Epoch: 40 [12800/47500]	Loss: 0.3465	LR: 0.000800
Training Epoch: 40 [13056/47500]	Loss: 0.2591	LR: 0.000800
Training Epoch: 40 [13312/47500]	Loss: 0.2546	LR: 0.000800
Training Epoch: 40 [13568/47500]	Loss: 0.2301	LR: 0.000800
Training Epoch: 40 [13824/47500]	Loss: 0.2878	LR: 0.000800
Training Epoch: 40 [14080/47500]	Loss: 0.3728	LR: 0.000800
Training Epoch: 40 [14336/47500]	Loss: 0.2976	LR: 0.000800
Training Epoch: 40 [14592/47500]	Loss: 0.2467	LR: 0.000800
Training Epoch: 40 [14848/47500]	Loss: 0.3327	LR: 0.000800
Training Epoch: 40 [15104/47500]	Loss: 0.3157	LR: 0.000800
Training Epoch: 40 [15360/47500]	Loss: 0.2346	LR: 0.000800
Training Epoch: 40 [15616/47500]	Loss: 0.3013	LR: 0.000800
Training Epoch: 40 [15872/47500]	Loss: 0.2899	LR: 0.000800
Training Epoch: 40 [16128/47500]	Loss: 0.2217	LR: 0.000800
Training Epoch: 40 [16384/47500]	Loss: 0.2814	LR: 0.000800
Training Epoch: 40 [16640/47500]	Loss: 0.3339	LR: 0.000800
Training Epoch: 40 [16896/47500]	Loss: 0.3189	LR: 0.000800
Training Epoch: 40 [17152/47500]	Loss: 0.2712	LR: 0.000800
Training Epoch: 40 [17408/47500]	Loss: 0.2607	LR: 0.000800
Training Epoch: 40 [17664/47500]	Loss: 0.2913	LR: 0.000800
Training Epoch: 40 [17920/47500]	Loss: 0.2641	LR: 0.000800
Training Epoch: 40 [18176/47500]	Loss: 0.2164	LR: 0.000800
Training Epoch: 40 [18432/47500]	Loss: 0.3213	LR: 0.000800
Training Epoch: 40 [18688/47500]	Loss: 0.2357	LR: 0.000800
Training Epoch: 40 [18944/47500]	Loss: 0.3058	LR: 0.000800
Training Epoch: 40 [19200/47500]	Loss: 0.3134	LR: 0.000800
Training Epoch: 40 [19456/47500]	Loss: 0.2191	LR: 0.000800
Training Epoch: 40 [19712/47500]	Loss: 0.3077	LR: 0.000800
Training Epoch: 40 [19968/47500]	Loss: 0.2814	LR: 0.000800
Training Epoch: 40 [20224/47500]	Loss: 0.2092	LR: 0.000800
Training Epoch: 40 [20480/47500]	Loss: 0.4022	LR: 0.000800
Training Epoch: 40 [20736/47500]	Loss: 0.2714	LR: 0.000800
Training Epoch: 40 [20992/47500]	Loss: 0.2461	LR: 0.000800
Training Epoch: 40 [21248/47500]	Loss: 0.2346	LR: 0.000800
Training Epoch: 40 [21504/47500]	Loss: 0.2596	LR: 0.000800
Training Epoch: 40 [21760/47500]	Loss: 0.2810	LR: 0.000800
Training Epoch: 40 [22016/47500]	Loss: 0.3165	LR: 0.000800
Training Epoch: 40 [22272/47500]	Loss: 0.3049	LR: 0.000800
Training Epoch: 40 [22528/47500]	Loss: 0.3347	LR: 0.000800
Training Epoch: 40 [22784/47500]	Loss: 0.3080	LR: 0.000800
Training Epoch: 40 [23040/47500]	Loss: 0.3295	LR: 0.000800
Training Epoch: 40 [23296/47500]	Loss: 0.3293	LR: 0.000800
Training Epoch: 40 [23552/47500]	Loss: 0.2435	LR: 0.000800
Training Epoch: 40 [23808/47500]	Loss: 0.3328	LR: 0.000800
Training Epoch: 40 [24064/47500]	Loss: 0.2825	LR: 0.000800
Training Epoch: 40 [24320/47500]	Loss: 0.2150	LR: 0.000800
Training Epoch: 40 [24576/47500]	Loss: 0.2703	LR: 0.000800
Training Epoch: 40 [24832/47500]	Loss: 0.3181	LR: 0.000800
Training Epoch: 40 [25088/47500]	Loss: 0.2918	LR: 0.000800
Training Epoch: 40 [25344/47500]	Loss: 0.2424	LR: 0.000800
Training Epoch: 40 [25600/47500]	Loss: 0.2351	LR: 0.000800
Training Epoch: 40 [25856/47500]	Loss: 0.2330	LR: 0.000800
Training Epoch: 40 [26112/47500]	Loss: 0.2838	LR: 0.000800
Training Epoch: 40 [26368/47500]	Loss: 0.3794	LR: 0.000800
Training Epoch: 40 [26624/47500]	Loss: 0.2240	LR: 0.000800
Training Epoch: 40 [26880/47500]	Loss: 0.3177	LR: 0.000800
Training Epoch: 40 [27136/47500]	Loss: 0.2636	LR: 0.000800
Training Epoch: 40 [27392/47500]	Loss: 0.2767	LR: 0.000800
Training Epoch: 40 [27648/47500]	Loss: 0.2688	LR: 0.000800
Training Epoch: 40 [27904/47500]	Loss: 0.2416	LR: 0.000800
Training Epoch: 40 [28160/47500]	Loss: 0.3082	LR: 0.000800
Training Epoch: 40 [28416/47500]	Loss: 0.2833	LR: 0.000800
Training Epoch: 40 [28672/47500]	Loss: 0.3313	LR: 0.000800
Training Epoch: 40 [28928/47500]	Loss: 0.3350	LR: 0.000800
Training Epoch: 40 [29184/47500]	Loss: 0.2921	LR: 0.000800
Training Epoch: 40 [29440/47500]	Loss: 0.2686	LR: 0.000800
Training Epoch: 40 [29696/47500]	Loss: 0.2599	LR: 0.000800
Training Epoch: 40 [29952/47500]	Loss: 0.2061	LR: 0.000800
Training Epoch: 40 [30208/47500]	Loss: 0.2743	LR: 0.000800
Training Epoch: 40 [30464/47500]	Loss: 0.2971	LR: 0.000800
Training Epoch: 40 [30720/47500]	Loss: 0.3314	LR: 0.000800
Training Epoch: 40 [30976/47500]	Loss: 0.3215	LR: 0.000800
Training Epoch: 40 [31232/47500]	Loss: 0.3129	LR: 0.000800
Training Epoch: 40 [31488/47500]	Loss: 0.2857	LR: 0.000800
Training Epoch: 40 [31744/47500]	Loss: 0.2892	LR: 0.000800
Training Epoch: 40 [32000/47500]	Loss: 0.2189	LR: 0.000800
Training Epoch: 40 [32256/47500]	Loss: 0.2864	LR: 0.000800
Training Epoch: 40 [32512/47500]	Loss: 0.2846	LR: 0.000800
Training Epoch: 40 [32768/47500]	Loss: 0.3203	LR: 0.000800
Training Epoch: 40 [33024/47500]	Loss: 0.2741	LR: 0.000800
Training Epoch: 40 [33280/47500]	Loss: 0.2956	LR: 0.000800
Training Epoch: 40 [33536/47500]	Loss: 0.3248	LR: 0.000800
Training Epoch: 40 [33792/47500]	Loss: 0.2638	LR: 0.000800
Training Epoch: 40 [34048/47500]	Loss: 0.3121	LR: 0.000800
Training Epoch: 40 [34304/47500]	Loss: 0.2647	LR: 0.000800
Training Epoch: 40 [34560/47500]	Loss: 0.2827	LR: 0.000800
Training Epoch: 40 [34816/47500]	Loss: 0.3132	LR: 0.000800
Training Epoch: 40 [35072/47500]	Loss: 0.2932	LR: 0.000800
Training Epoch: 40 [35328/47500]	Loss: 0.3908	LR: 0.000800
Training Epoch: 40 [35584/47500]	Loss: 0.2268	LR: 0.000800
Training Epoch: 40 [35840/47500]	Loss: 0.3235	LR: 0.000800
Training Epoch: 40 [36096/47500]	Loss: 0.2910	LR: 0.000800
Training Epoch: 40 [36352/47500]	Loss: 0.2817	LR: 0.000800
Training Epoch: 40 [36608/47500]	Loss: 0.2296	LR: 0.000800
Training Epoch: 40 [36864/47500]	Loss: 0.2218	LR: 0.000800
Training Epoch: 40 [37120/47500]	Loss: 0.2243	LR: 0.000800
Training Epoch: 40 [37376/47500]	Loss: 0.2733	LR: 0.000800
Training Epoch: 40 [37632/47500]	Loss: 0.3435	LR: 0.000800
Training Epoch: 40 [37888/47500]	Loss: 0.2450	LR: 0.000800
Training Epoch: 40 [38144/47500]	Loss: 0.2725	LR: 0.000800
Training Epoch: 40 [38400/47500]	Loss: 0.2855	LR: 0.000800
Training Epoch: 40 [38656/47500]	Loss: 0.2129	LR: 0.000800
Training Epoch: 40 [38912/47500]	Loss: 0.3280	LR: 0.000800
Training Epoch: 40 [39168/47500]	Loss: 0.2868	LR: 0.000800
Training Epoch: 40 [39424/47500]	Loss: 0.2680	LR: 0.000800
Training Epoch: 40 [39680/47500]	Loss: 0.3012	LR: 0.000800
Training Epoch: 40 [39936/47500]	Loss: 0.2800	LR: 0.000800
Training Epoch: 40 [40192/47500]	Loss: 0.2390	LR: 0.000800
Training Epoch: 40 [40448/47500]	Loss: 0.2822	LR: 0.000800
Training Epoch: 40 [40704/47500]	Loss: 0.2547	LR: 0.000800
Training Epoch: 40 [40960/47500]	Loss: 0.2808	LR: 0.000800
Training Epoch: 40 [41216/47500]	Loss: 0.2773	LR: 0.000800
Training Epoch: 40 [41472/47500]	Loss: 0.2710	LR: 0.000800
Training Epoch: 40 [41728/47500]	Loss: 0.2509	LR: 0.000800
Training Epoch: 40 [41984/47500]	Loss: 0.2974	LR: 0.000800
Training Epoch: 40 [42240/47500]	Loss: 0.2556	LR: 0.000800
Training Epoch: 40 [42496/47500]	Loss: 0.2696	LR: 0.000800
Training Epoch: 40 [42752/47500]	Loss: 0.2465	LR: 0.000800
Training Epoch: 40 [43008/47500]	Loss: 0.2599	LR: 0.000800
Training Epoch: 40 [43264/47500]	Loss: 0.2362	LR: 0.000800
Training Epoch: 40 [43520/47500]	Loss: 0.2869	LR: 0.000800
Training Epoch: 40 [43776/47500]	Loss: 0.2923	LR: 0.000800
Training Epoch: 40 [44032/47500]	Loss: 0.2662	LR: 0.000800
Training Epoch: 40 [44288/47500]	Loss: 0.2918	LR: 0.000800
Training Epoch: 40 [44544/47500]	Loss: 0.3293	LR: 0.000800
Training Epoch: 40 [44800/47500]	Loss: 0.2533	LR: 0.000800
Training Epoch: 40 [45056/47500]	Loss: 0.3457	LR: 0.000800
Training Epoch: 40 [45312/47500]	Loss: 0.3480	LR: 0.000800
Training Epoch: 40 [45568/47500]	Loss: 0.2909	LR: 0.000800
Training Epoch: 40 [45824/47500]	Loss: 0.3127	LR: 0.000800
Training Epoch: 40 [46080/47500]	Loss: 0.2479	LR: 0.000800
Training Epoch: 40 [46336/47500]	Loss: 0.2828	LR: 0.000800
Training Epoch: 40 [46592/47500]	Loss: 0.2812	LR: 0.000800
Training Epoch: 40 [46848/47500]	Loss: 0.3348	LR: 0.000800
Training Epoch: 40 [47104/47500]	Loss: 0.2604	LR: 0.000800
Training Epoch: 40 [47360/47500]	Loss: 0.2819	LR: 0.000800
Training Epoch: 40 [47500/47500]	Loss: 0.2518	LR: 0.000800
Epoch 40 - Average Train Loss: 0.2820, Train Accuracy: 0.9166
Epoch 40 training time consumed: 26.04s
Evaluating Network.....
Test set: Epoch: 40, Average loss: 0.0030, Accuracy: 0.7863, Time consumed:0.89s
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  47500
Forget Train Dl:  2500
Retain Valid Dl:  47500
Forget Valid Dl:  2500
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 2500 samples
Set1 Distribution: 2500 samples
Set2 Distribution: 2500 samples
Set1 Distribution: 2500 samples
Set2 Distribution: 2500 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 78.544921875
Retain Accuracy: 92.24749755859375
Zero-Retain Forget (ZRF): 0.9131221771240234
Membership Inference Attack (MIA): 0.4636
Forget vs Retain Membership Inference Attack (MIA): 0.542
Forget vs Test Membership Inference Attack (MIA): 0.556
Test vs Retain Membership Inference Attack (MIA): 0.48775
Train vs Test Membership Inference Attack (MIA): 0.56425
Forget Set Accuracy (Df): 77.18112182617188
Method Execution Time: 1578.22 seconds
