
📌 S Retain class distribution for seed 8:
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 8:
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: 3.0059	LR: 0.000000
Training Epoch: 1 [512/47500]	Loss: 2.9947	LR: 0.000538
Training Epoch: 1 [768/47500]	Loss: 3.0469	LR: 0.001075
Training Epoch: 1 [1024/47500]	Loss: 3.0311	LR: 0.001613
Training Epoch: 1 [1280/47500]	Loss: 3.0364	LR: 0.002151
Training Epoch: 1 [1536/47500]	Loss: 2.9820	LR: 0.002688
Training Epoch: 1 [1792/47500]	Loss: 3.0136	LR: 0.003226
Training Epoch: 1 [2048/47500]	Loss: 2.9839	LR: 0.003763
Training Epoch: 1 [2304/47500]	Loss: 2.9794	LR: 0.004301
Training Epoch: 1 [2560/47500]	Loss: 2.9655	LR: 0.004839
Training Epoch: 1 [2816/47500]	Loss: 2.9646	LR: 0.005376
Training Epoch: 1 [3072/47500]	Loss: 2.9537	LR: 0.005914
Training Epoch: 1 [3328/47500]	Loss: 2.9231	LR: 0.006452
Training Epoch: 1 [3584/47500]	Loss: 2.8828	LR: 0.006989
Training Epoch: 1 [3840/47500]	Loss: 2.8844	LR: 0.007527
Training Epoch: 1 [4096/47500]	Loss: 2.8670	LR: 0.008065
Training Epoch: 1 [4352/47500]	Loss: 2.8308	LR: 0.008602
Training Epoch: 1 [4608/47500]	Loss: 2.9076	LR: 0.009140
Training Epoch: 1 [4864/47500]	Loss: 2.8391	LR: 0.009677
Training Epoch: 1 [5120/47500]	Loss: 2.8429	LR: 0.010215
Training Epoch: 1 [5376/47500]	Loss: 2.8811	LR: 0.010753
Training Epoch: 1 [5632/47500]	Loss: 2.8178	LR: 0.011290
Training Epoch: 1 [5888/47500]	Loss: 2.8301	LR: 0.011828
Training Epoch: 1 [6144/47500]	Loss: 2.7723	LR: 0.012366
Training Epoch: 1 [6400/47500]	Loss: 2.7636	LR: 0.012903
Training Epoch: 1 [6656/47500]	Loss: 2.7986	LR: 0.013441
Training Epoch: 1 [6912/47500]	Loss: 2.7724	LR: 0.013978
Training Epoch: 1 [7168/47500]	Loss: 2.7305	LR: 0.014516
Training Epoch: 1 [7424/47500]	Loss: 2.7285	LR: 0.015054
Training Epoch: 1 [7680/47500]	Loss: 2.8045	LR: 0.015591
Training Epoch: 1 [7936/47500]	Loss: 2.7058	LR: 0.016129
Training Epoch: 1 [8192/47500]	Loss: 2.7369	LR: 0.016667
Training Epoch: 1 [8448/47500]	Loss: 2.7658	LR: 0.017204
Training Epoch: 1 [8704/47500]	Loss: 2.7140	LR: 0.017742
Training Epoch: 1 [8960/47500]	Loss: 2.6436	LR: 0.018280
Training Epoch: 1 [9216/47500]	Loss: 2.6426	LR: 0.018817
Training Epoch: 1 [9472/47500]	Loss: 2.6063	LR: 0.019355
Training Epoch: 1 [9728/47500]	Loss: 2.6688	LR: 0.019892
Training Epoch: 1 [9984/47500]	Loss: 2.6693	LR: 0.020430
Training Epoch: 1 [10240/47500]	Loss: 2.5713	LR: 0.020968
Training Epoch: 1 [10496/47500]	Loss: 2.6200	LR: 0.021505
Training Epoch: 1 [10752/47500]	Loss: 2.5878	LR: 0.022043
Training Epoch: 1 [11008/47500]	Loss: 2.5898	LR: 0.022581
Training Epoch: 1 [11264/47500]	Loss: 2.5359	LR: 0.023118
Training Epoch: 1 [11520/47500]	Loss: 2.5099	LR: 0.023656
Training Epoch: 1 [11776/47500]	Loss: 2.5598	LR: 0.024194
Training Epoch: 1 [12032/47500]	Loss: 2.5223	LR: 0.024731
Training Epoch: 1 [12288/47500]	Loss: 2.5775	LR: 0.025269
Training Epoch: 1 [12544/47500]	Loss: 2.5669	LR: 0.025806
Training Epoch: 1 [12800/47500]	Loss: 2.5686	LR: 0.026344
Training Epoch: 1 [13056/47500]	Loss: 2.5323	LR: 0.026882
Training Epoch: 1 [13312/47500]	Loss: 2.5488	LR: 0.027419
Training Epoch: 1 [13568/47500]	Loss: 2.5330	LR: 0.027957
Training Epoch: 1 [13824/47500]	Loss: 2.6042	LR: 0.028495
Training Epoch: 1 [14080/47500]	Loss: 2.5469	LR: 0.029032
Training Epoch: 1 [14336/47500]	Loss: 2.5700	LR: 0.029570
Training Epoch: 1 [14592/47500]	Loss: 2.5393	LR: 0.030108
Training Epoch: 1 [14848/47500]	Loss: 2.5319	LR: 0.030645
Training Epoch: 1 [15104/47500]	Loss: 2.4981	LR: 0.031183
Training Epoch: 1 [15360/47500]	Loss: 2.5175	LR: 0.031720
Training Epoch: 1 [15616/47500]	Loss: 2.5901	LR: 0.032258
Training Epoch: 1 [15872/47500]	Loss: 2.5449	LR: 0.032796
Training Epoch: 1 [16128/47500]	Loss: 2.4190	LR: 0.033333
Training Epoch: 1 [16384/47500]	Loss: 2.6861	LR: 0.033871
Training Epoch: 1 [16640/47500]	Loss: 2.5065	LR: 0.034409
Training Epoch: 1 [16896/47500]	Loss: 2.5466	LR: 0.034946
Training Epoch: 1 [17152/47500]	Loss: 2.4822	LR: 0.035484
Training Epoch: 1 [17408/47500]	Loss: 2.4800	LR: 0.036022
Training Epoch: 1 [17664/47500]	Loss: 2.4985	LR: 0.036559
Training Epoch: 1 [17920/47500]	Loss: 2.4455	LR: 0.037097
Training Epoch: 1 [18176/47500]	Loss: 2.4745	LR: 0.037634
Training Epoch: 1 [18432/47500]	Loss: 2.4773	LR: 0.038172
Training Epoch: 1 [18688/47500]	Loss: 2.5091	LR: 0.038710
Training Epoch: 1 [18944/47500]	Loss: 2.4950	LR: 0.039247
Training Epoch: 1 [19200/47500]	Loss: 2.4979	LR: 0.039785
Training Epoch: 1 [19456/47500]	Loss: 2.5263	LR: 0.040323
Training Epoch: 1 [19712/47500]	Loss: 2.5885	LR: 0.040860
Training Epoch: 1 [19968/47500]	Loss: 2.5052	LR: 0.041398
Training Epoch: 1 [20224/47500]	Loss: 2.4538	LR: 0.041935
Training Epoch: 1 [20480/47500]	Loss: 2.5150	LR: 0.042473
Training Epoch: 1 [20736/47500]	Loss: 2.5577	LR: 0.043011
Training Epoch: 1 [20992/47500]	Loss: 2.4861	LR: 0.043548
Training Epoch: 1 [21248/47500]	Loss: 2.5303	LR: 0.044086
Training Epoch: 1 [21504/47500]	Loss: 2.4959	LR: 0.044624
Training Epoch: 1 [21760/47500]	Loss: 2.3883	LR: 0.045161
Training Epoch: 1 [22016/47500]	Loss: 2.3907	LR: 0.045699
Training Epoch: 1 [22272/47500]	Loss: 2.4517	LR: 0.046237
Training Epoch: 1 [22528/47500]	Loss: 2.4330	LR: 0.046774
Training Epoch: 1 [22784/47500]	Loss: 2.5013	LR: 0.047312
Training Epoch: 1 [23040/47500]	Loss: 2.4522	LR: 0.047849
Training Epoch: 1 [23296/47500]	Loss: 2.5281	LR: 0.048387
Training Epoch: 1 [23552/47500]	Loss: 2.4533	LR: 0.048925
Training Epoch: 1 [23808/47500]	Loss: 2.5331	LR: 0.049462
Training Epoch: 1 [24064/47500]	Loss: 2.5438	LR: 0.050000
Training Epoch: 1 [24320/47500]	Loss: 2.3820	LR: 0.050538
Training Epoch: 1 [24576/47500]	Loss: 2.4904	LR: 0.051075
Training Epoch: 1 [24832/47500]	Loss: 2.4424	LR: 0.051613
Training Epoch: 1 [25088/47500]	Loss: 2.5063	LR: 0.052151
Training Epoch: 1 [25344/47500]	Loss: 2.5099	LR: 0.052688
Training Epoch: 1 [25600/47500]	Loss: 2.4359	LR: 0.053226
Training Epoch: 1 [25856/47500]	Loss: 2.4637	LR: 0.053763
Training Epoch: 1 [26112/47500]	Loss: 2.4031	LR: 0.054301
Training Epoch: 1 [26368/47500]	Loss: 2.4603	LR: 0.054839
Training Epoch: 1 [26624/47500]	Loss: 2.4926	LR: 0.055376
Training Epoch: 1 [26880/47500]	Loss: 2.5149	LR: 0.055914
Training Epoch: 1 [27136/47500]	Loss: 2.4305	LR: 0.056452
Training Epoch: 1 [27392/47500]	Loss: 2.4854	LR: 0.056989
Training Epoch: 1 [27648/47500]	Loss: 2.3451	LR: 0.057527
Training Epoch: 1 [27904/47500]	Loss: 2.4564	LR: 0.058065
Training Epoch: 1 [28160/47500]	Loss: 2.3329	LR: 0.058602
Training Epoch: 1 [28416/47500]	Loss: 2.4631	LR: 0.059140
Training Epoch: 1 [28672/47500]	Loss: 2.4400	LR: 0.059677
Training Epoch: 1 [28928/47500]	Loss: 2.4973	LR: 0.060215
Training Epoch: 1 [29184/47500]	Loss: 2.4997	LR: 0.060753
Training Epoch: 1 [29440/47500]	Loss: 2.4762	LR: 0.061290
Training Epoch: 1 [29696/47500]	Loss: 2.3997	LR: 0.061828
Training Epoch: 1 [29952/47500]	Loss: 2.4760	LR: 0.062366
Training Epoch: 1 [30208/47500]	Loss: 2.4511	LR: 0.062903
Training Epoch: 1 [30464/47500]	Loss: 2.4880	LR: 0.063441
Training Epoch: 1 [30720/47500]	Loss: 2.4117	LR: 0.063978
Training Epoch: 1 [30976/47500]	Loss: 2.4249	LR: 0.064516
Training Epoch: 1 [31232/47500]	Loss: 2.5628	LR: 0.065054
Training Epoch: 1 [31488/47500]	Loss: 2.3931	LR: 0.065591
Training Epoch: 1 [31744/47500]	Loss: 2.4975	LR: 0.066129
Training Epoch: 1 [32000/47500]	Loss: 2.5042	LR: 0.066667
Training Epoch: 1 [32256/47500]	Loss: 2.4359	LR: 0.067204
Training Epoch: 1 [32512/47500]	Loss: 2.4235	LR: 0.067742
Training Epoch: 1 [32768/47500]	Loss: 2.3634	LR: 0.068280
Training Epoch: 1 [33024/47500]	Loss: 2.3026	LR: 0.068817
Training Epoch: 1 [33280/47500]	Loss: 2.4883	LR: 0.069355
Training Epoch: 1 [33536/47500]	Loss: 2.4857	LR: 0.069892
Training Epoch: 1 [33792/47500]	Loss: 2.4115	LR: 0.070430
Training Epoch: 1 [34048/47500]	Loss: 2.3096	LR: 0.070968
Training Epoch: 1 [34304/47500]	Loss: 2.3905	LR: 0.071505
Training Epoch: 1 [34560/47500]	Loss: 2.3993	LR: 0.072043
Training Epoch: 1 [34816/47500]	Loss: 2.2782	LR: 0.072581
Training Epoch: 1 [35072/47500]	Loss: 2.4383	LR: 0.073118
Training Epoch: 1 [35328/47500]	Loss: 2.4371	LR: 0.073656
Training Epoch: 1 [35584/47500]	Loss: 2.4553	LR: 0.074194
Training Epoch: 1 [35840/47500]	Loss: 2.3118	LR: 0.074731
Training Epoch: 1 [36096/47500]	Loss: 2.3650	LR: 0.075269
Training Epoch: 1 [36352/47500]	Loss: 2.3361	LR: 0.075806
Training Epoch: 1 [36608/47500]	Loss: 2.4197	LR: 0.076344
Training Epoch: 1 [36864/47500]	Loss: 2.2277	LR: 0.076882
Training Epoch: 1 [37120/47500]	Loss: 2.2670	LR: 0.077419
Training Epoch: 1 [37376/47500]	Loss: 2.3878	LR: 0.077957
Training Epoch: 1 [37632/47500]	Loss: 2.4861	LR: 0.078495
Training Epoch: 1 [37888/47500]	Loss: 2.3510	LR: 0.079032
Training Epoch: 1 [38144/47500]	Loss: 2.4487	LR: 0.079570
Training Epoch: 1 [38400/47500]	Loss: 2.4113	LR: 0.080108
Training Epoch: 1 [38656/47500]	Loss: 2.3942	LR: 0.080645
Training Epoch: 1 [38912/47500]	Loss: 2.3565	LR: 0.081183
Training Epoch: 1 [39168/47500]	Loss: 2.3676	LR: 0.081720
Training Epoch: 1 [39424/47500]	Loss: 2.3970	LR: 0.082258
Training Epoch: 1 [39680/47500]	Loss: 2.3135	LR: 0.082796
Training Epoch: 1 [39936/47500]	Loss: 2.4906	LR: 0.083333
Training Epoch: 1 [40192/47500]	Loss: 2.1732	LR: 0.083871
Training Epoch: 1 [40448/47500]	Loss: 2.2171	LR: 0.084409
Training Epoch: 1 [40704/47500]	Loss: 2.4096	LR: 0.084946
Training Epoch: 1 [40960/47500]	Loss: 2.3289	LR: 0.085484
Training Epoch: 1 [41216/47500]	Loss: 2.4092	LR: 0.086022
Training Epoch: 1 [41472/47500]	Loss: 2.3083	LR: 0.086559
Training Epoch: 1 [41728/47500]	Loss: 2.5249	LR: 0.087097
Training Epoch: 1 [41984/47500]	Loss: 2.2182	LR: 0.087634
Training Epoch: 1 [42240/47500]	Loss: 2.3091	LR: 0.088172
Training Epoch: 1 [42496/47500]	Loss: 2.3606	LR: 0.088710
Training Epoch: 1 [42752/47500]	Loss: 2.5035	LR: 0.089247
Training Epoch: 1 [43008/47500]	Loss: 2.3326	LR: 0.089785
Training Epoch: 1 [43264/47500]	Loss: 2.1815	LR: 0.090323
Training Epoch: 1 [43520/47500]	Loss: 2.2959	LR: 0.090860
Training Epoch: 1 [43776/47500]	Loss: 2.3911	LR: 0.091398
Training Epoch: 1 [44032/47500]	Loss: 2.3282	LR: 0.091935
Training Epoch: 1 [44288/47500]	Loss: 2.4934	LR: 0.092473
Training Epoch: 1 [44544/47500]	Loss: 2.3491	LR: 0.093011
Training Epoch: 1 [44800/47500]	Loss: 2.4148	LR: 0.093548
Training Epoch: 1 [45056/47500]	Loss: 2.2956	LR: 0.094086
Training Epoch: 1 [45312/47500]	Loss: 2.1938	LR: 0.094624
Training Epoch: 1 [45568/47500]	Loss: 2.3939	LR: 0.095161
Training Epoch: 1 [45824/47500]	Loss: 2.2106	LR: 0.095699
Training Epoch: 1 [46080/47500]	Loss: 2.3453	LR: 0.096237
Training Epoch: 1 [46336/47500]	Loss: 2.2836	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 2.3420	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 2.3221	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 2.3750	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 2.2692	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 2.3165	LR: 0.099462
Epoch 1 - Average Train Loss: 2.5252, Train Accuracy: 0.2165
Epoch 1 training time consumed: 26.36s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0098, Accuracy: 0.2649, Time consumed:1.11s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_23h_09m_43s/AllCNN-Cifar20-seed8-ret50-1-best.pth
Training Epoch: 2 [256/47500]	Loss: 2.2743	LR: 0.100000
Training Epoch: 2 [512/47500]	Loss: 2.2765	LR: 0.100000
Training Epoch: 2 [768/47500]	Loss: 2.3106	LR: 0.100000
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Epoch 2 - Average Train Loss: 2.1457, Train Accuracy: 0.3319
Epoch 2 training time consumed: 25.50s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0083, Accuracy: 0.3588, Time consumed:0.85s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_23h_09m_43s/AllCNN-Cifar20-seed8-ret50-2-best.pth
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Training Epoch: 3 [47500/47500]	Loss: 1.8899	LR: 0.100000
Epoch 3 - Average Train Loss: 1.9178, Train Accuracy: 0.4006
Epoch 3 training time consumed: 25.56s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0078, Accuracy: 0.3987, Time consumed:0.87s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_23h_09m_43s/AllCNN-Cifar20-seed8-ret50-3-best.pth
Training Epoch: 4 [256/47500]	Loss: 1.7578	LR: 0.100000
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Epoch 4 - Average Train Loss: 1.7293, Train Accuracy: 0.4548
Epoch 4 training time consumed: 25.56s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0072, Accuracy: 0.4408, Time consumed:0.88s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_23h_09m_43s/AllCNN-Cifar20-seed8-ret50-4-best.pth
Training Epoch: 5 [256/47500]	Loss: 1.6329	LR: 0.100000
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Epoch 5 - Average Train Loss: 1.5989, Train Accuracy: 0.4915
Epoch 5 training time consumed: 25.63s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0072, Accuracy: 0.4641, Time consumed:0.88s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_23h_09m_43s/AllCNN-Cifar20-seed8-ret50-5-best.pth
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Training Epoch: 6 [47500/47500]	Loss: 1.3538	LR: 0.100000
Epoch 6 - Average Train Loss: 1.4592, Train Accuracy: 0.5371
Epoch 6 training time consumed: 25.46s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0071, Accuracy: 0.4707, Time consumed:0.94s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_23h_09m_43s/AllCNN-Cifar20-seed8-ret50-6-best.pth
Training Epoch: 7 [256/47500]	Loss: 1.3615	LR: 0.100000
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Epoch 7 - Average Train Loss: 1.3539, Train Accuracy: 0.5654
Epoch 7 training time consumed: 25.42s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0065, Accuracy: 0.4988, Time consumed:0.87s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_23h_09m_43s/AllCNN-Cifar20-seed8-ret50-7-best.pth
Training Epoch: 8 [256/47500]	Loss: 1.4514	LR: 0.100000
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Epoch 8 - Average Train Loss: 1.2791, Train Accuracy: 0.5938
Epoch 8 training time consumed: 25.75s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0060, Accuracy: 0.5407, Time consumed:0.95s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_23h_09m_43s/AllCNN-Cifar20-seed8-ret50-8-best.pth
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Training Epoch: 9 [47500/47500]	Loss: 1.1263	LR: 0.100000
Epoch 9 - Average Train Loss: 1.2026, Train Accuracy: 0.6153
Epoch 9 training time consumed: 25.52s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0051, Accuracy: 0.6014, Time consumed:0.94s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_23h_09m_43s/AllCNN-Cifar20-seed8-ret50-9-best.pth
Training Epoch: 10 [256/47500]	Loss: 1.1582	LR: 0.100000
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Training Epoch: 10 [47500/47500]	Loss: 1.1481	LR: 0.100000
Epoch 10 - Average Train Loss: 1.1561, Train Accuracy: 0.6293
Epoch 10 training time consumed: 25.52s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0051, Accuracy: 0.6030, Time consumed:0.87s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_23h_09m_43s/AllCNN-Cifar20-seed8-ret50-10-best.pth
Training Epoch: 11 [256/47500]	Loss: 1.1124	LR: 0.100000
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Training Epoch: 11 [47500/47500]	Loss: 1.0956	LR: 0.100000
Epoch 11 - Average Train Loss: 1.1057, Train Accuracy: 0.6426
Epoch 11 training time consumed: 25.52s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0062, Accuracy: 0.5581, Time consumed:0.94s
Training Epoch: 12 [256/47500]	Loss: 1.2163	LR: 0.100000
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Training Epoch: 12 [47500/47500]	Loss: 1.1064	LR: 0.100000
Epoch 12 - Average Train Loss: 1.0636, Train Accuracy: 0.6583
Epoch 12 training time consumed: 25.56s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0052, Accuracy: 0.6106, Time consumed:0.87s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_23h_09m_43s/AllCNN-Cifar20-seed8-ret50-12-best.pth
Training Epoch: 13 [256/47500]	Loss: 0.9648	LR: 0.100000
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Epoch 13 - Average Train Loss: 1.0417, Train Accuracy: 0.6665
Epoch 13 training time consumed: 25.61s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0049, Accuracy: 0.6283, Time consumed:0.87s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_23h_09m_43s/AllCNN-Cifar20-seed8-ret50-13-best.pth
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Training Epoch: 14 [47500/47500]	Loss: 1.1082	LR: 0.100000
Epoch 14 - Average Train Loss: 1.0188, Train Accuracy: 0.6734
Epoch 14 training time consumed: 25.56s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0050, Accuracy: 0.6129, Time consumed:0.86s
Training Epoch: 15 [256/47500]	Loss: 1.0077	LR: 0.020000
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Training Epoch: 15 [47500/47500]	Loss: 0.9116	LR: 0.020000
Epoch 15 - Average Train Loss: 0.7773, Train Accuracy: 0.7522
Epoch 15 training time consumed: 25.56s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0034, Accuracy: 0.7256, Time consumed:0.89s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_23h_09m_43s/AllCNN-Cifar20-seed8-ret50-15-best.pth
Training Epoch: 16 [256/47500]	Loss: 0.7730	LR: 0.020000
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Training Epoch: 16 [47500/47500]	Loss: 0.7563	LR: 0.020000
Epoch 16 - Average Train Loss: 0.7009, Train Accuracy: 0.7756
Epoch 16 training time consumed: 25.54s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0033, Accuracy: 0.7397, Time consumed:0.95s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_23h_09m_43s/AllCNN-Cifar20-seed8-ret50-16-best.pth
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Training Epoch: 17 [35840/47500]	Loss: 0.6715	LR: 0.020000
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Training Epoch: 17 [36352/47500]	Loss: 0.6399	LR: 0.020000
Training Epoch: 17 [36608/47500]	Loss: 0.6896	LR: 0.020000
Training Epoch: 17 [36864/47500]	Loss: 0.6465	LR: 0.020000
Training Epoch: 17 [37120/47500]	Loss: 0.6487	LR: 0.020000
Training Epoch: 17 [37376/47500]	Loss: 0.7054	LR: 0.020000
Training Epoch: 17 [37632/47500]	Loss: 0.5831	LR: 0.020000
Training Epoch: 17 [37888/47500]	Loss: 0.6995	LR: 0.020000
Training Epoch: 17 [38144/47500]	Loss: 0.6028	LR: 0.020000
Training Epoch: 17 [38400/47500]	Loss: 0.6814	LR: 0.020000
Training Epoch: 17 [38656/47500]	Loss: 0.7020	LR: 0.020000
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Training Epoch: 17 [39168/47500]	Loss: 0.6856	LR: 0.020000
Training Epoch: 17 [39424/47500]	Loss: 0.7555	LR: 0.020000
Training Epoch: 17 [39680/47500]	Loss: 0.7358	LR: 0.020000
Training Epoch: 17 [39936/47500]	Loss: 0.6120	LR: 0.020000
Training Epoch: 17 [40192/47500]	Loss: 0.5899	LR: 0.020000
Training Epoch: 17 [40448/47500]	Loss: 0.7568	LR: 0.020000
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Training Epoch: 17 [41984/47500]	Loss: 0.6759	LR: 0.020000
Training Epoch: 17 [42240/47500]	Loss: 0.6925	LR: 0.020000
Training Epoch: 17 [42496/47500]	Loss: 0.6445	LR: 0.020000
Training Epoch: 17 [42752/47500]	Loss: 0.7077	LR: 0.020000
Training Epoch: 17 [43008/47500]	Loss: 0.7641	LR: 0.020000
Training Epoch: 17 [43264/47500]	Loss: 0.6270	LR: 0.020000
Training Epoch: 17 [43520/47500]	Loss: 0.6805	LR: 0.020000
Training Epoch: 17 [43776/47500]	Loss: 0.6872	LR: 0.020000
Training Epoch: 17 [44032/47500]	Loss: 0.6954	LR: 0.020000
Training Epoch: 17 [44288/47500]	Loss: 0.6212	LR: 0.020000
Training Epoch: 17 [44544/47500]	Loss: 0.7243	LR: 0.020000
Training Epoch: 17 [44800/47500]	Loss: 0.7139	LR: 0.020000
Training Epoch: 17 [45056/47500]	Loss: 0.6611	LR: 0.020000
Training Epoch: 17 [45312/47500]	Loss: 0.6062	LR: 0.020000
Training Epoch: 17 [45568/47500]	Loss: 0.7312	LR: 0.020000
Training Epoch: 17 [45824/47500]	Loss: 0.7165	LR: 0.020000
Training Epoch: 17 [46080/47500]	Loss: 0.6308	LR: 0.020000
Training Epoch: 17 [46336/47500]	Loss: 0.5748	LR: 0.020000
Training Epoch: 17 [46592/47500]	Loss: 0.6209	LR: 0.020000
Training Epoch: 17 [46848/47500]	Loss: 0.6683	LR: 0.020000
Training Epoch: 17 [47104/47500]	Loss: 0.6474	LR: 0.020000
Training Epoch: 17 [47360/47500]	Loss: 0.6434	LR: 0.020000
Training Epoch: 17 [47500/47500]	Loss: 0.6760	LR: 0.020000
Epoch 17 - Average Train Loss: 0.6682, Train Accuracy: 0.7869
Epoch 17 training time consumed: 25.54s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0033, Accuracy: 0.7385, Time consumed:0.86s
Training Epoch: 18 [256/47500]	Loss: 0.5977	LR: 0.020000
Training Epoch: 18 [512/47500]	Loss: 0.5818	LR: 0.020000
Training Epoch: 18 [768/47500]	Loss: 0.6947	LR: 0.020000
Training Epoch: 18 [1024/47500]	Loss: 0.6281	LR: 0.020000
Training Epoch: 18 [1280/47500]	Loss: 0.6904	LR: 0.020000
Training Epoch: 18 [1536/47500]	Loss: 0.6716	LR: 0.020000
Training Epoch: 18 [1792/47500]	Loss: 0.6450	LR: 0.020000
Training Epoch: 18 [2048/47500]	Loss: 0.6109	LR: 0.020000
Training Epoch: 18 [2304/47500]	Loss: 0.5982	LR: 0.020000
Training Epoch: 18 [2560/47500]	Loss: 0.6341	LR: 0.020000
Training Epoch: 18 [2816/47500]	Loss: 0.7947	LR: 0.020000
Training Epoch: 18 [3072/47500]	Loss: 0.7667	LR: 0.020000
Training Epoch: 18 [3328/47500]	Loss: 0.5836	LR: 0.020000
Training Epoch: 18 [3584/47500]	Loss: 0.6483	LR: 0.020000
Training Epoch: 18 [3840/47500]	Loss: 0.7480	LR: 0.020000
Training Epoch: 18 [4096/47500]	Loss: 0.6359	LR: 0.020000
Training Epoch: 18 [4352/47500]	Loss: 0.5873	LR: 0.020000
Training Epoch: 18 [4608/47500]	Loss: 0.6342	LR: 0.020000
Training Epoch: 18 [4864/47500]	Loss: 0.7251	LR: 0.020000
Training Epoch: 18 [5120/47500]	Loss: 0.6037	LR: 0.020000
Training Epoch: 18 [5376/47500]	Loss: 0.5973	LR: 0.020000
Training Epoch: 18 [5632/47500]	Loss: 0.5678	LR: 0.020000
Training Epoch: 18 [5888/47500]	Loss: 0.6178	LR: 0.020000
Training Epoch: 18 [6144/47500]	Loss: 0.6161	LR: 0.020000
Training Epoch: 18 [6400/47500]	Loss: 0.4814	LR: 0.020000
Training Epoch: 18 [6656/47500]	Loss: 0.6265	LR: 0.020000
Training Epoch: 18 [6912/47500]	Loss: 0.7424	LR: 0.020000
Training Epoch: 18 [7168/47500]	Loss: 0.6309	LR: 0.020000
Training Epoch: 18 [7424/47500]	Loss: 0.6569	LR: 0.020000
Training Epoch: 18 [7680/47500]	Loss: 0.5197	LR: 0.020000
Training Epoch: 18 [7936/47500]	Loss: 0.7648	LR: 0.020000
Training Epoch: 18 [8192/47500]	Loss: 0.6835	LR: 0.020000
Training Epoch: 18 [8448/47500]	Loss: 0.6209	LR: 0.020000
Training Epoch: 18 [8704/47500]	Loss: 0.5424	LR: 0.020000
Training Epoch: 18 [8960/47500]	Loss: 0.5840	LR: 0.020000
Training Epoch: 18 [9216/47500]	Loss: 0.6525	LR: 0.020000
Training Epoch: 18 [9472/47500]	Loss: 0.6034	LR: 0.020000
Training Epoch: 18 [9728/47500]	Loss: 0.6314	LR: 0.020000
Training Epoch: 18 [9984/47500]	Loss: 0.6254	LR: 0.020000
Training Epoch: 18 [10240/47500]	Loss: 0.6805	LR: 0.020000
Training Epoch: 18 [10496/47500]	Loss: 0.7368	LR: 0.020000
Training Epoch: 18 [10752/47500]	Loss: 0.6929	LR: 0.020000
Training Epoch: 18 [11008/47500]	Loss: 0.7076	LR: 0.020000
Training Epoch: 18 [11264/47500]	Loss: 0.5168	LR: 0.020000
Training Epoch: 18 [11520/47500]	Loss: 0.7204	LR: 0.020000
Training Epoch: 18 [11776/47500]	Loss: 0.5881	LR: 0.020000
Training Epoch: 18 [12032/47500]	Loss: 0.7919	LR: 0.020000
Training Epoch: 18 [12288/47500]	Loss: 0.6213	LR: 0.020000
Training Epoch: 18 [12544/47500]	Loss: 0.7004	LR: 0.020000
Training Epoch: 18 [12800/47500]	Loss: 0.6267	LR: 0.020000
Training Epoch: 18 [13056/47500]	Loss: 0.6077	LR: 0.020000
Training Epoch: 18 [13312/47500]	Loss: 0.6796	LR: 0.020000
Training Epoch: 18 [13568/47500]	Loss: 0.6722	LR: 0.020000
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Training Epoch: 18 [22272/47500]	Loss: 0.7294	LR: 0.020000
Training Epoch: 18 [22528/47500]	Loss: 0.5768	LR: 0.020000
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Training Epoch: 18 [23040/47500]	Loss: 0.5957	LR: 0.020000
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Training Epoch: 18 [36096/47500]	Loss: 0.6487	LR: 0.020000
Training Epoch: 18 [36352/47500]	Loss: 0.7233	LR: 0.020000
Training Epoch: 18 [36608/47500]	Loss: 0.6856	LR: 0.020000
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Training Epoch: 18 [37120/47500]	Loss: 0.6895	LR: 0.020000
Training Epoch: 18 [37376/47500]	Loss: 0.6384	LR: 0.020000
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Training Epoch: 18 [39424/47500]	Loss: 0.6701	LR: 0.020000
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Training Epoch: 18 [39936/47500]	Loss: 0.6635	LR: 0.020000
Training Epoch: 18 [40192/47500]	Loss: 0.6763	LR: 0.020000
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Training Epoch: 18 [41728/47500]	Loss: 0.7702	LR: 0.020000
Training Epoch: 18 [41984/47500]	Loss: 0.7171	LR: 0.020000
Training Epoch: 18 [42240/47500]	Loss: 0.6866	LR: 0.020000
Training Epoch: 18 [42496/47500]	Loss: 0.7361	LR: 0.020000
Training Epoch: 18 [42752/47500]	Loss: 0.5768	LR: 0.020000
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Training Epoch: 18 [43264/47500]	Loss: 0.6832	LR: 0.020000
Training Epoch: 18 [43520/47500]	Loss: 0.6489	LR: 0.020000
Training Epoch: 18 [43776/47500]	Loss: 0.5940	LR: 0.020000
Training Epoch: 18 [44032/47500]	Loss: 0.7075	LR: 0.020000
Training Epoch: 18 [44288/47500]	Loss: 0.6454	LR: 0.020000
Training Epoch: 18 [44544/47500]	Loss: 0.6611	LR: 0.020000
Training Epoch: 18 [44800/47500]	Loss: 0.5969	LR: 0.020000
Training Epoch: 18 [45056/47500]	Loss: 0.5806	LR: 0.020000
Training Epoch: 18 [45312/47500]	Loss: 0.7180	LR: 0.020000
Training Epoch: 18 [45568/47500]	Loss: 0.7506	LR: 0.020000
Training Epoch: 18 [45824/47500]	Loss: 0.6769	LR: 0.020000
Training Epoch: 18 [46080/47500]	Loss: 0.6054	LR: 0.020000
Training Epoch: 18 [46336/47500]	Loss: 0.6730	LR: 0.020000
Training Epoch: 18 [46592/47500]	Loss: 0.5692	LR: 0.020000
Training Epoch: 18 [46848/47500]	Loss: 0.6021	LR: 0.020000
Training Epoch: 18 [47104/47500]	Loss: 0.5823	LR: 0.020000
Training Epoch: 18 [47360/47500]	Loss: 0.7002	LR: 0.020000
Training Epoch: 18 [47500/47500]	Loss: 0.4834	LR: 0.020000
Epoch 18 - Average Train Loss: 0.6472, Train Accuracy: 0.7916
Epoch 18 training time consumed: 25.57s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0034, Accuracy: 0.7392, Time consumed:0.89s
Training Epoch: 19 [256/47500]	Loss: 0.6493	LR: 0.020000
Training Epoch: 19 [512/47500]	Loss: 0.5796	LR: 0.020000
Training Epoch: 19 [768/47500]	Loss: 0.6373	LR: 0.020000
Training Epoch: 19 [1024/47500]	Loss: 0.5455	LR: 0.020000
Training Epoch: 19 [1280/47500]	Loss: 0.7186	LR: 0.020000
Training Epoch: 19 [1536/47500]	Loss: 0.6163	LR: 0.020000
Training Epoch: 19 [1792/47500]	Loss: 0.5663	LR: 0.020000
Training Epoch: 19 [2048/47500]	Loss: 0.6336	LR: 0.020000
Training Epoch: 19 [2304/47500]	Loss: 0.5762	LR: 0.020000
Training Epoch: 19 [2560/47500]	Loss: 0.6890	LR: 0.020000
Training Epoch: 19 [2816/47500]	Loss: 0.5991	LR: 0.020000
Training Epoch: 19 [3072/47500]	Loss: 0.5533	LR: 0.020000
Training Epoch: 19 [3328/47500]	Loss: 0.5201	LR: 0.020000
Training Epoch: 19 [3584/47500]	Loss: 0.6202	LR: 0.020000
Training Epoch: 19 [3840/47500]	Loss: 0.7458	LR: 0.020000
Training Epoch: 19 [4096/47500]	Loss: 0.7083	LR: 0.020000
Training Epoch: 19 [4352/47500]	Loss: 0.7134	LR: 0.020000
Training Epoch: 19 [4608/47500]	Loss: 0.6168	LR: 0.020000
Training Epoch: 19 [4864/47500]	Loss: 0.5745	LR: 0.020000
Training Epoch: 19 [5120/47500]	Loss: 0.6729	LR: 0.020000
Training Epoch: 19 [5376/47500]	Loss: 0.6039	LR: 0.020000
Training Epoch: 19 [5632/47500]	Loss: 0.6879	LR: 0.020000
Training Epoch: 19 [5888/47500]	Loss: 0.6044	LR: 0.020000
Training Epoch: 19 [6144/47500]	Loss: 0.6137	LR: 0.020000
Training Epoch: 19 [6400/47500]	Loss: 0.5564	LR: 0.020000
Training Epoch: 19 [6656/47500]	Loss: 0.6380	LR: 0.020000
Training Epoch: 19 [6912/47500]	Loss: 0.6296	LR: 0.020000
Training Epoch: 19 [7168/47500]	Loss: 0.6746	LR: 0.020000
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Training Epoch: 19 [8192/47500]	Loss: 0.6305	LR: 0.020000
Training Epoch: 19 [8448/47500]	Loss: 0.5955	LR: 0.020000
Training Epoch: 19 [8704/47500]	Loss: 0.6716	LR: 0.020000
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Training Epoch: 19 [10496/47500]	Loss: 0.7177	LR: 0.020000
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Training Epoch: 19 [11008/47500]	Loss: 0.5681	LR: 0.020000
Training Epoch: 19 [11264/47500]	Loss: 0.6385	LR: 0.020000
Training Epoch: 19 [11520/47500]	Loss: 0.5957	LR: 0.020000
Training Epoch: 19 [11776/47500]	Loss: 0.6255	LR: 0.020000
Training Epoch: 19 [12032/47500]	Loss: 0.6294	LR: 0.020000
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Training Epoch: 19 [13056/47500]	Loss: 0.5982	LR: 0.020000
Training Epoch: 19 [13312/47500]	Loss: 0.5683	LR: 0.020000
Training Epoch: 19 [13568/47500]	Loss: 0.5839	LR: 0.020000
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Training Epoch: 19 [47500/47500]	Loss: 0.5851	LR: 0.020000
Epoch 19 - Average Train Loss: 0.6317, Train Accuracy: 0.7966
Epoch 19 training time consumed: 26.17s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0034, Accuracy: 0.7453, Time consumed:0.88s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_23h_09m_43s/AllCNN-Cifar20-seed8-ret50-19-best.pth
Training Epoch: 20 [256/47500]	Loss: 0.5793	LR: 0.020000
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Training Epoch: 20 [39168/47500]	Loss: 0.5277	LR: 0.020000
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Training Epoch: 20 [42496/47500]	Loss: 0.6897	LR: 0.020000
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Training Epoch: 20 [43520/47500]	Loss: 0.7464	LR: 0.020000
Training Epoch: 20 [43776/47500]	Loss: 0.6490	LR: 0.020000
Training Epoch: 20 [44032/47500]	Loss: 0.6860	LR: 0.020000
Training Epoch: 20 [44288/47500]	Loss: 0.6121	LR: 0.020000
Training Epoch: 20 [44544/47500]	Loss: 0.6007	LR: 0.020000
Training Epoch: 20 [44800/47500]	Loss: 0.5054	LR: 0.020000
Training Epoch: 20 [45056/47500]	Loss: 0.6177	LR: 0.020000
Training Epoch: 20 [45312/47500]	Loss: 0.5660	LR: 0.020000
Training Epoch: 20 [45568/47500]	Loss: 0.6213	LR: 0.020000
Training Epoch: 20 [45824/47500]	Loss: 0.6259	LR: 0.020000
Training Epoch: 20 [46080/47500]	Loss: 0.5946	LR: 0.020000
Training Epoch: 20 [46336/47500]	Loss: 0.7087	LR: 0.020000
Training Epoch: 20 [46592/47500]	Loss: 0.7314	LR: 0.020000
Training Epoch: 20 [46848/47500]	Loss: 0.6296	LR: 0.020000
Training Epoch: 20 [47104/47500]	Loss: 0.6059	LR: 0.020000
Training Epoch: 20 [47360/47500]	Loss: 0.5921	LR: 0.020000
Training Epoch: 20 [47500/47500]	Loss: 0.5550	LR: 0.020000
Epoch 20 - Average Train Loss: 0.6075, Train Accuracy: 0.8034
Epoch 20 training time consumed: 25.59s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0033, Accuracy: 0.7452, Time consumed:0.85s
Training Epoch: 21 [256/47500]	Loss: 0.5562	LR: 0.020000
Training Epoch: 21 [512/47500]	Loss: 0.5321	LR: 0.020000
Training Epoch: 21 [768/47500]	Loss: 0.5532	LR: 0.020000
Training Epoch: 21 [1024/47500]	Loss: 0.5623	LR: 0.020000
Training Epoch: 21 [1280/47500]	Loss: 0.6634	LR: 0.020000
Training Epoch: 21 [1536/47500]	Loss: 0.5454	LR: 0.020000
Training Epoch: 21 [1792/47500]	Loss: 0.5820	LR: 0.020000
Training Epoch: 21 [2048/47500]	Loss: 0.5930	LR: 0.020000
Training Epoch: 21 [2304/47500]	Loss: 0.6735	LR: 0.020000
Training Epoch: 21 [2560/47500]	Loss: 0.4497	LR: 0.020000
Training Epoch: 21 [2816/47500]	Loss: 0.5331	LR: 0.020000
Training Epoch: 21 [3072/47500]	Loss: 0.7178	LR: 0.020000
Training Epoch: 21 [3328/47500]	Loss: 0.4737	LR: 0.020000
Training Epoch: 21 [3584/47500]	Loss: 0.5263	LR: 0.020000
Training Epoch: 21 [3840/47500]	Loss: 0.5262	LR: 0.020000
Training Epoch: 21 [4096/47500]	Loss: 0.5677	LR: 0.020000
Training Epoch: 21 [4352/47500]	Loss: 0.6316	LR: 0.020000
Training Epoch: 21 [4608/47500]	Loss: 0.6949	LR: 0.020000
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Training Epoch: 21 [6144/47500]	Loss: 0.5179	LR: 0.020000
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Training Epoch: 21 [7168/47500]	Loss: 0.5566	LR: 0.020000
Training Epoch: 21 [7424/47500]	Loss: 0.6194	LR: 0.020000
Training Epoch: 21 [7680/47500]	Loss: 0.6114	LR: 0.020000
Training Epoch: 21 [7936/47500]	Loss: 0.5702	LR: 0.020000
Training Epoch: 21 [8192/47500]	Loss: 0.6224	LR: 0.020000
Training Epoch: 21 [8448/47500]	Loss: 0.5389	LR: 0.020000
Training Epoch: 21 [8704/47500]	Loss: 0.5459	LR: 0.020000
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Training Epoch: 21 [10240/47500]	Loss: 0.6242	LR: 0.020000
Training Epoch: 21 [10496/47500]	Loss: 0.4677	LR: 0.020000
Training Epoch: 21 [10752/47500]	Loss: 0.6516	LR: 0.020000
Training Epoch: 21 [11008/47500]	Loss: 0.4635	LR: 0.020000
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Training Epoch: 21 [16896/47500]	Loss: 0.5752	LR: 0.020000
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Training Epoch: 21 [41728/47500]	Loss: 0.5699	LR: 0.020000
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Training Epoch: 21 [42240/47500]	Loss: 0.6637	LR: 0.020000
Training Epoch: 21 [42496/47500]	Loss: 0.6027	LR: 0.020000
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Training Epoch: 21 [43264/47500]	Loss: 0.5526	LR: 0.020000
Training Epoch: 21 [43520/47500]	Loss: 0.6242	LR: 0.020000
Training Epoch: 21 [43776/47500]	Loss: 0.5837	LR: 0.020000
Training Epoch: 21 [44032/47500]	Loss: 0.6204	LR: 0.020000
Training Epoch: 21 [44288/47500]	Loss: 0.6005	LR: 0.020000
Training Epoch: 21 [44544/47500]	Loss: 0.6545	LR: 0.020000
Training Epoch: 21 [44800/47500]	Loss: 0.5918	LR: 0.020000
Training Epoch: 21 [45056/47500]	Loss: 0.6444	LR: 0.020000
Training Epoch: 21 [45312/47500]	Loss: 0.5602	LR: 0.020000
Training Epoch: 21 [45568/47500]	Loss: 0.6063	LR: 0.020000
Training Epoch: 21 [45824/47500]	Loss: 0.6804	LR: 0.020000
Training Epoch: 21 [46080/47500]	Loss: 0.6502	LR: 0.020000
Training Epoch: 21 [46336/47500]	Loss: 0.5353	LR: 0.020000
Training Epoch: 21 [46592/47500]	Loss: 0.5749	LR: 0.020000
Training Epoch: 21 [46848/47500]	Loss: 0.7260	LR: 0.020000
Training Epoch: 21 [47104/47500]	Loss: 0.6377	LR: 0.020000
Training Epoch: 21 [47360/47500]	Loss: 0.6233	LR: 0.020000
Training Epoch: 21 [47500/47500]	Loss: 0.5229	LR: 0.020000
Epoch 21 - Average Train Loss: 0.5933, Train Accuracy: 0.8094
Epoch 21 training time consumed: 25.48s
Evaluating Network.....
Test set: Epoch: 21, Average loss: 0.0036, Accuracy: 0.7312, Time consumed:0.95s
Training Epoch: 22 [256/47500]	Loss: 0.5573	LR: 0.020000
Training Epoch: 22 [512/47500]	Loss: 0.4951	LR: 0.020000
Training Epoch: 22 [768/47500]	Loss: 0.5953	LR: 0.020000
Training Epoch: 22 [1024/47500]	Loss: 0.5105	LR: 0.020000
Training Epoch: 22 [1280/47500]	Loss: 0.5884	LR: 0.020000
Training Epoch: 22 [1536/47500]	Loss: 0.6013	LR: 0.020000
Training Epoch: 22 [1792/47500]	Loss: 0.4912	LR: 0.020000
Training Epoch: 22 [2048/47500]	Loss: 0.5637	LR: 0.020000
Training Epoch: 22 [2304/47500]	Loss: 0.6104	LR: 0.020000
Training Epoch: 22 [2560/47500]	Loss: 0.5986	LR: 0.020000
Training Epoch: 22 [2816/47500]	Loss: 0.5987	LR: 0.020000
Training Epoch: 22 [3072/47500]	Loss: 0.5782	LR: 0.020000
Training Epoch: 22 [3328/47500]	Loss: 0.5583	LR: 0.020000
Training Epoch: 22 [3584/47500]	Loss: 0.5662	LR: 0.020000
Training Epoch: 22 [3840/47500]	Loss: 0.5486	LR: 0.020000
Training Epoch: 22 [4096/47500]	Loss: 0.6879	LR: 0.020000
Training Epoch: 22 [4352/47500]	Loss: 0.5337	LR: 0.020000
Training Epoch: 22 [4608/47500]	Loss: 0.6338	LR: 0.020000
Training Epoch: 22 [4864/47500]	Loss: 0.4837	LR: 0.020000
Training Epoch: 22 [5120/47500]	Loss: 0.5962	LR: 0.020000
Training Epoch: 22 [5376/47500]	Loss: 0.5139	LR: 0.020000
Training Epoch: 22 [5632/47500]	Loss: 0.6034	LR: 0.020000
Training Epoch: 22 [5888/47500]	Loss: 0.4978	LR: 0.020000
Training Epoch: 22 [6144/47500]	Loss: 0.5581	LR: 0.020000
Training Epoch: 22 [6400/47500]	Loss: 0.5397	LR: 0.020000
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Training Epoch: 22 [8448/47500]	Loss: 0.5657	LR: 0.020000
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Training Epoch: 22 [15616/47500]	Loss: 0.6304	LR: 0.020000
Training Epoch: 22 [15872/47500]	Loss: 0.6033	LR: 0.020000
Training Epoch: 22 [16128/47500]	Loss: 0.5114	LR: 0.020000
Training Epoch: 22 [16384/47500]	Loss: 0.5651	LR: 0.020000
Training Epoch: 22 [16640/47500]	Loss: 0.6756	LR: 0.020000
Training Epoch: 22 [16896/47500]	Loss: 0.6270	LR: 0.020000
Training Epoch: 22 [17152/47500]	Loss: 0.6153	LR: 0.020000
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Training Epoch: 22 [19968/47500]	Loss: 0.5727	LR: 0.020000
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Training Epoch: 22 [20480/47500]	Loss: 0.6381	LR: 0.020000
Training Epoch: 22 [20736/47500]	Loss: 0.5552	LR: 0.020000
Training Epoch: 22 [20992/47500]	Loss: 0.5270	LR: 0.020000
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Training Epoch: 22 [21504/47500]	Loss: 0.6799	LR: 0.020000
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Training Epoch: 22 [22016/47500]	Loss: 0.6323	LR: 0.020000
Training Epoch: 22 [22272/47500]	Loss: 0.4558	LR: 0.020000
Training Epoch: 22 [22528/47500]	Loss: 0.5981	LR: 0.020000
Training Epoch: 22 [22784/47500]	Loss: 0.5539	LR: 0.020000
Training Epoch: 22 [23040/47500]	Loss: 0.6796	LR: 0.020000
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Training Epoch: 22 [25344/47500]	Loss: 0.5428	LR: 0.020000
Training Epoch: 22 [25600/47500]	Loss: 0.6341	LR: 0.020000
Training Epoch: 22 [25856/47500]	Loss: 0.5558	LR: 0.020000
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Training Epoch: 22 [27648/47500]	Loss: 0.5857	LR: 0.020000
Training Epoch: 22 [27904/47500]	Loss: 0.6062	LR: 0.020000
Training Epoch: 22 [28160/47500]	Loss: 0.5704	LR: 0.020000
Training Epoch: 22 [28416/47500]	Loss: 0.6201	LR: 0.020000
Training Epoch: 22 [28672/47500]	Loss: 0.5761	LR: 0.020000
Training Epoch: 22 [28928/47500]	Loss: 0.5282	LR: 0.020000
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Training Epoch: 22 [29440/47500]	Loss: 0.5841	LR: 0.020000
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Training Epoch: 22 [30976/47500]	Loss: 0.6148	LR: 0.020000
Training Epoch: 22 [31232/47500]	Loss: 0.5909	LR: 0.020000
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Training Epoch: 22 [31744/47500]	Loss: 0.4785	LR: 0.020000
Training Epoch: 22 [32000/47500]	Loss: 0.6289	LR: 0.020000
Training Epoch: 22 [32256/47500]	Loss: 0.6163	LR: 0.020000
Training Epoch: 22 [32512/47500]	Loss: 0.6257	LR: 0.020000
Training Epoch: 22 [32768/47500]	Loss: 0.5263	LR: 0.020000
Training Epoch: 22 [33024/47500]	Loss: 0.5832	LR: 0.020000
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Training Epoch: 22 [34560/47500]	Loss: 0.6832	LR: 0.020000
Training Epoch: 22 [34816/47500]	Loss: 0.5507	LR: 0.020000
Training Epoch: 22 [35072/47500]	Loss: 0.5128	LR: 0.020000
Training Epoch: 22 [35328/47500]	Loss: 0.6561	LR: 0.020000
Training Epoch: 22 [35584/47500]	Loss: 0.7088	LR: 0.020000
Training Epoch: 22 [35840/47500]	Loss: 0.5007	LR: 0.020000
Training Epoch: 22 [36096/47500]	Loss: 0.5957	LR: 0.020000
Training Epoch: 22 [36352/47500]	Loss: 0.6442	LR: 0.020000
Training Epoch: 22 [36608/47500]	Loss: 0.6076	LR: 0.020000
Training Epoch: 22 [36864/47500]	Loss: 0.6615	LR: 0.020000
Training Epoch: 22 [37120/47500]	Loss: 0.5610	LR: 0.020000
Training Epoch: 22 [37376/47500]	Loss: 0.6535	LR: 0.020000
Training Epoch: 22 [37632/47500]	Loss: 0.6114	LR: 0.020000
Training Epoch: 22 [37888/47500]	Loss: 0.6206	LR: 0.020000
Training Epoch: 22 [38144/47500]	Loss: 0.5032	LR: 0.020000
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Training Epoch: 22 [38656/47500]	Loss: 0.5664	LR: 0.020000
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Training Epoch: 22 [39168/47500]	Loss: 0.5756	LR: 0.020000
Training Epoch: 22 [39424/47500]	Loss: 0.5786	LR: 0.020000
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Training Epoch: 22 [39936/47500]	Loss: 0.5428	LR: 0.020000
Training Epoch: 22 [40192/47500]	Loss: 0.6219	LR: 0.020000
Training Epoch: 22 [40448/47500]	Loss: 0.5674	LR: 0.020000
Training Epoch: 22 [40704/47500]	Loss: 0.5752	LR: 0.020000
Training Epoch: 22 [40960/47500]	Loss: 0.5608	LR: 0.020000
Training Epoch: 22 [41216/47500]	Loss: 0.5920	LR: 0.020000
Training Epoch: 22 [41472/47500]	Loss: 0.5465	LR: 0.020000
Training Epoch: 22 [41728/47500]	Loss: 0.5527	LR: 0.020000
Training Epoch: 22 [41984/47500]	Loss: 0.5887	LR: 0.020000
Training Epoch: 22 [42240/47500]	Loss: 0.5701	LR: 0.020000
Training Epoch: 22 [42496/47500]	Loss: 0.5401	LR: 0.020000
Training Epoch: 22 [42752/47500]	Loss: 0.5387	LR: 0.020000
Training Epoch: 22 [43008/47500]	Loss: 0.5890	LR: 0.020000
Training Epoch: 22 [43264/47500]	Loss: 0.6609	LR: 0.020000
Training Epoch: 22 [43520/47500]	Loss: 0.5818	LR: 0.020000
Training Epoch: 22 [43776/47500]	Loss: 0.6839	LR: 0.020000
Training Epoch: 22 [44032/47500]	Loss: 0.5607	LR: 0.020000
Training Epoch: 22 [44288/47500]	Loss: 0.6213	LR: 0.020000
Training Epoch: 22 [44544/47500]	Loss: 0.5714	LR: 0.020000
Training Epoch: 22 [44800/47500]	Loss: 0.5739	LR: 0.020000
Training Epoch: 22 [45056/47500]	Loss: 0.6496	LR: 0.020000
Training Epoch: 22 [45312/47500]	Loss: 0.5143	LR: 0.020000
Training Epoch: 22 [45568/47500]	Loss: 0.7601	LR: 0.020000
Training Epoch: 22 [45824/47500]	Loss: 0.6743	LR: 0.020000
Training Epoch: 22 [46080/47500]	Loss: 0.7028	LR: 0.020000
Training Epoch: 22 [46336/47500]	Loss: 0.6261	LR: 0.020000
Training Epoch: 22 [46592/47500]	Loss: 0.5411	LR: 0.020000
Training Epoch: 22 [46848/47500]	Loss: 0.5758	LR: 0.020000
Training Epoch: 22 [47104/47500]	Loss: 0.6380	LR: 0.020000
Training Epoch: 22 [47360/47500]	Loss: 0.6182	LR: 0.020000
Training Epoch: 22 [47500/47500]	Loss: 0.6178	LR: 0.020000
Epoch 22 - Average Train Loss: 0.5788, Train Accuracy: 0.8104
Epoch 22 training time consumed: 25.54s
Evaluating Network.....
Test set: Epoch: 22, Average loss: 0.0036, Accuracy: 0.7341, Time consumed:0.89s
Training Epoch: 23 [256/47500]	Loss: 0.5167	LR: 0.020000
Training Epoch: 23 [512/47500]	Loss: 0.5313	LR: 0.020000
Training Epoch: 23 [768/47500]	Loss: 0.4617	LR: 0.020000
Training Epoch: 23 [1024/47500]	Loss: 0.4890	LR: 0.020000
Training Epoch: 23 [1280/47500]	Loss: 0.5341	LR: 0.020000
Training Epoch: 23 [1536/47500]	Loss: 0.6155	LR: 0.020000
Training Epoch: 23 [1792/47500]	Loss: 0.5432	LR: 0.020000
Training Epoch: 23 [2048/47500]	Loss: 0.7430	LR: 0.020000
Training Epoch: 23 [2304/47500]	Loss: 0.5091	LR: 0.020000
Training Epoch: 23 [2560/47500]	Loss: 0.4833	LR: 0.020000
Training Epoch: 23 [2816/47500]	Loss: 0.5023	LR: 0.020000
Training Epoch: 23 [3072/47500]	Loss: 0.4964	LR: 0.020000
Training Epoch: 23 [3328/47500]	Loss: 0.5525	LR: 0.020000
Training Epoch: 23 [3584/47500]	Loss: 0.5459	LR: 0.020000
Training Epoch: 23 [3840/47500]	Loss: 0.6188	LR: 0.020000
Training Epoch: 23 [4096/47500]	Loss: 0.6178	LR: 0.020000
Training Epoch: 23 [4352/47500]	Loss: 0.5889	LR: 0.020000
Training Epoch: 23 [4608/47500]	Loss: 0.5290	LR: 0.020000
Training Epoch: 23 [4864/47500]	Loss: 0.6209	LR: 0.020000
Training Epoch: 23 [5120/47500]	Loss: 0.5293	LR: 0.020000
Training Epoch: 23 [5376/47500]	Loss: 0.4475	LR: 0.020000
Training Epoch: 23 [5632/47500]	Loss: 0.5139	LR: 0.020000
Training Epoch: 23 [5888/47500]	Loss: 0.5718	LR: 0.020000
Training Epoch: 23 [6144/47500]	Loss: 0.6375	LR: 0.020000
Training Epoch: 23 [6400/47500]	Loss: 0.5709	LR: 0.020000
Training Epoch: 23 [6656/47500]	Loss: 0.6366	LR: 0.020000
Training Epoch: 23 [6912/47500]	Loss: 0.6418	LR: 0.020000
Training Epoch: 23 [7168/47500]	Loss: 0.6069	LR: 0.020000
Training Epoch: 23 [7424/47500]	Loss: 0.6339	LR: 0.020000
Training Epoch: 23 [7680/47500]	Loss: 0.5267	LR: 0.020000
Training Epoch: 23 [7936/47500]	Loss: 0.4891	LR: 0.020000
Training Epoch: 23 [8192/47500]	Loss: 0.6275	LR: 0.020000
Training Epoch: 23 [8448/47500]	Loss: 0.5697	LR: 0.020000
Training Epoch: 23 [8704/47500]	Loss: 0.5752	LR: 0.020000
Training Epoch: 23 [8960/47500]	Loss: 0.4099	LR: 0.020000
Training Epoch: 23 [9216/47500]	Loss: 0.5549	LR: 0.020000
Training Epoch: 23 [9472/47500]	Loss: 0.4576	LR: 0.020000
Training Epoch: 23 [9728/47500]	Loss: 0.4622	LR: 0.020000
Training Epoch: 23 [9984/47500]	Loss: 0.6389	LR: 0.020000
Training Epoch: 23 [10240/47500]	Loss: 0.6092	LR: 0.020000
Training Epoch: 23 [10496/47500]	Loss: 0.5197	LR: 0.020000
Training Epoch: 23 [10752/47500]	Loss: 0.4993	LR: 0.020000
Training Epoch: 23 [11008/47500]	Loss: 0.5227	LR: 0.020000
Training Epoch: 23 [11264/47500]	Loss: 0.4552	LR: 0.020000
Training Epoch: 23 [11520/47500]	Loss: 0.4554	LR: 0.020000
Training Epoch: 23 [11776/47500]	Loss: 0.6087	LR: 0.020000
Training Epoch: 23 [12032/47500]	Loss: 0.5425	LR: 0.020000
Training Epoch: 23 [12288/47500]	Loss: 0.5802	LR: 0.020000
Training Epoch: 23 [12544/47500]	Loss: 0.4746	LR: 0.020000
Training Epoch: 23 [12800/47500]	Loss: 0.5314	LR: 0.020000
Training Epoch: 23 [13056/47500]	Loss: 0.6487	LR: 0.020000
Training Epoch: 23 [13312/47500]	Loss: 0.5993	LR: 0.020000
Training Epoch: 23 [13568/47500]	Loss: 0.6676	LR: 0.020000
Training Epoch: 23 [13824/47500]	Loss: 0.5290	LR: 0.020000
Training Epoch: 23 [14080/47500]	Loss: 0.6303	LR: 0.020000
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Training Epoch: 23 [15616/47500]	Loss: 0.5474	LR: 0.020000
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Training Epoch: 23 [16384/47500]	Loss: 0.4427	LR: 0.020000
Training Epoch: 23 [16640/47500]	Loss: 0.4864	LR: 0.020000
Training Epoch: 23 [16896/47500]	Loss: 0.4930	LR: 0.020000
Training Epoch: 23 [17152/47500]	Loss: 0.5427	LR: 0.020000
Training Epoch: 23 [17408/47500]	Loss: 0.5399	LR: 0.020000
Training Epoch: 23 [17664/47500]	Loss: 0.5175	LR: 0.020000
Training Epoch: 23 [17920/47500]	Loss: 0.5419	LR: 0.020000
Training Epoch: 23 [18176/47500]	Loss: 0.5513	LR: 0.020000
Training Epoch: 23 [18432/47500]	Loss: 0.5763	LR: 0.020000
Training Epoch: 23 [18688/47500]	Loss: 0.5725	LR: 0.020000
Training Epoch: 23 [18944/47500]	Loss: 0.6142	LR: 0.020000
Training Epoch: 23 [19200/47500]	Loss: 0.5110	LR: 0.020000
Training Epoch: 23 [19456/47500]	Loss: 0.5156	LR: 0.020000
Training Epoch: 23 [19712/47500]	Loss: 0.5054	LR: 0.020000
Training Epoch: 23 [19968/47500]	Loss: 0.5069	LR: 0.020000
Training Epoch: 23 [20224/47500]	Loss: 0.5959	LR: 0.020000
Training Epoch: 23 [20480/47500]	Loss: 0.4751	LR: 0.020000
Training Epoch: 23 [20736/47500]	Loss: 0.5634	LR: 0.020000
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Training Epoch: 23 [21248/47500]	Loss: 0.6214	LR: 0.020000
Training Epoch: 23 [21504/47500]	Loss: 0.4375	LR: 0.020000
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Training Epoch: 23 [22016/47500]	Loss: 0.6173	LR: 0.020000
Training Epoch: 23 [22272/47500]	Loss: 0.4164	LR: 0.020000
Training Epoch: 23 [22528/47500]	Loss: 0.6291	LR: 0.020000
Training Epoch: 23 [22784/47500]	Loss: 0.5887	LR: 0.020000
Training Epoch: 23 [23040/47500]	Loss: 0.5709	LR: 0.020000
Training Epoch: 23 [23296/47500]	Loss: 0.5065	LR: 0.020000
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Training Epoch: 23 [23808/47500]	Loss: 0.5478	LR: 0.020000
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Training Epoch: 23 [24320/47500]	Loss: 0.4835	LR: 0.020000
Training Epoch: 23 [24576/47500]	Loss: 0.6690	LR: 0.020000
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Training Epoch: 23 [25856/47500]	Loss: 0.5389	LR: 0.020000
Training Epoch: 23 [26112/47500]	Loss: 0.6349	LR: 0.020000
Training Epoch: 23 [26368/47500]	Loss: 0.6607	LR: 0.020000
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Training Epoch: 23 [30464/47500]	Loss: 0.5927	LR: 0.020000
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Training Epoch: 23 [30976/47500]	Loss: 0.5425	LR: 0.020000
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Training Epoch: 23 [35840/47500]	Loss: 0.5808	LR: 0.020000
Training Epoch: 23 [36096/47500]	Loss: 0.6643	LR: 0.020000
Training Epoch: 23 [36352/47500]	Loss: 0.6778	LR: 0.020000
Training Epoch: 23 [36608/47500]	Loss: 0.5966	LR: 0.020000
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Training Epoch: 23 [37376/47500]	Loss: 0.4930	LR: 0.020000
Training Epoch: 23 [37632/47500]	Loss: 0.6605	LR: 0.020000
Training Epoch: 23 [37888/47500]	Loss: 0.6059	LR: 0.020000
Training Epoch: 23 [38144/47500]	Loss: 0.6231	LR: 0.020000
Training Epoch: 23 [38400/47500]	Loss: 0.5876	LR: 0.020000
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Training Epoch: 23 [39680/47500]	Loss: 0.4595	LR: 0.020000
Training Epoch: 23 [39936/47500]	Loss: 0.7014	LR: 0.020000
Training Epoch: 23 [40192/47500]	Loss: 0.5163	LR: 0.020000
Training Epoch: 23 [40448/47500]	Loss: 0.5573	LR: 0.020000
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Training Epoch: 23 [41216/47500]	Loss: 0.5598	LR: 0.020000
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Training Epoch: 23 [43008/47500]	Loss: 0.5388	LR: 0.020000
Training Epoch: 23 [43264/47500]	Loss: 0.5523	LR: 0.020000
Training Epoch: 23 [43520/47500]	Loss: 0.4714	LR: 0.020000
Training Epoch: 23 [43776/47500]	Loss: 0.5303	LR: 0.020000
Training Epoch: 23 [44032/47500]	Loss: 0.6106	LR: 0.020000
Training Epoch: 23 [44288/47500]	Loss: 0.6387	LR: 0.020000
Training Epoch: 23 [44544/47500]	Loss: 0.6427	LR: 0.020000
Training Epoch: 23 [44800/47500]	Loss: 0.5694	LR: 0.020000
Training Epoch: 23 [45056/47500]	Loss: 0.5394	LR: 0.020000
Training Epoch: 23 [45312/47500]	Loss: 0.5840	LR: 0.020000
Training Epoch: 23 [45568/47500]	Loss: 0.6880	LR: 0.020000
Training Epoch: 23 [45824/47500]	Loss: 0.5035	LR: 0.020000
Training Epoch: 23 [46080/47500]	Loss: 0.5820	LR: 0.020000
Training Epoch: 23 [46336/47500]	Loss: 0.5100	LR: 0.020000
Training Epoch: 23 [46592/47500]	Loss: 0.6689	LR: 0.020000
Training Epoch: 23 [46848/47500]	Loss: 0.5678	LR: 0.020000
Training Epoch: 23 [47104/47500]	Loss: 0.7214	LR: 0.020000
Training Epoch: 23 [47360/47500]	Loss: 0.6877	LR: 0.020000
Training Epoch: 23 [47500/47500]	Loss: 0.5916	LR: 0.020000
Epoch 23 - Average Train Loss: 0.5682, Train Accuracy: 0.8166
Epoch 23 training time consumed: 25.38s
Evaluating Network.....
Test set: Epoch: 23, Average loss: 0.0036, Accuracy: 0.7343, Time consumed:0.89s
Training Epoch: 24 [256/47500]	Loss: 0.6099	LR: 0.020000
Training Epoch: 24 [512/47500]	Loss: 0.5039	LR: 0.020000
Training Epoch: 24 [768/47500]	Loss: 0.6098	LR: 0.020000
Training Epoch: 24 [1024/47500]	Loss: 0.5110	LR: 0.020000
Training Epoch: 24 [1280/47500]	Loss: 0.6073	LR: 0.020000
Training Epoch: 24 [1536/47500]	Loss: 0.5823	LR: 0.020000
Training Epoch: 24 [1792/47500]	Loss: 0.4958	LR: 0.020000
Training Epoch: 24 [2048/47500]	Loss: 0.5938	LR: 0.020000
Training Epoch: 24 [2304/47500]	Loss: 0.5343	LR: 0.020000
Training Epoch: 24 [2560/47500]	Loss: 0.5002	LR: 0.020000
Training Epoch: 24 [2816/47500]	Loss: 0.4963	LR: 0.020000
Training Epoch: 24 [3072/47500]	Loss: 0.5154	LR: 0.020000
Training Epoch: 24 [3328/47500]	Loss: 0.4573	LR: 0.020000
Training Epoch: 24 [3584/47500]	Loss: 0.5993	LR: 0.020000
Training Epoch: 24 [3840/47500]	Loss: 0.6347	LR: 0.020000
Training Epoch: 24 [4096/47500]	Loss: 0.5113	LR: 0.020000
Training Epoch: 24 [4352/47500]	Loss: 0.6005	LR: 0.020000
Training Epoch: 24 [4608/47500]	Loss: 0.5834	LR: 0.020000
Training Epoch: 24 [4864/47500]	Loss: 0.5114	LR: 0.020000
Training Epoch: 24 [5120/47500]	Loss: 0.4934	LR: 0.020000
Training Epoch: 24 [5376/47500]	Loss: 0.5163	LR: 0.020000
Training Epoch: 24 [5632/47500]	Loss: 0.5952	LR: 0.020000
Training Epoch: 24 [5888/47500]	Loss: 0.4701	LR: 0.020000
Training Epoch: 24 [6144/47500]	Loss: 0.6131	LR: 0.020000
Training Epoch: 24 [6400/47500]	Loss: 0.5636	LR: 0.020000
Training Epoch: 24 [6656/47500]	Loss: 0.5938	LR: 0.020000
Training Epoch: 24 [6912/47500]	Loss: 0.5178	LR: 0.020000
Training Epoch: 24 [7168/47500]	Loss: 0.5271	LR: 0.020000
Training Epoch: 24 [7424/47500]	Loss: 0.5925	LR: 0.020000
Training Epoch: 24 [7680/47500]	Loss: 0.6384	LR: 0.020000
Training Epoch: 24 [7936/47500]	Loss: 0.4736	LR: 0.020000
Training Epoch: 24 [8192/47500]	Loss: 0.4523	LR: 0.020000
Training Epoch: 24 [8448/47500]	Loss: 0.4391	LR: 0.020000
Training Epoch: 24 [8704/47500]	Loss: 0.5309	LR: 0.020000
Training Epoch: 24 [8960/47500]	Loss: 0.5270	LR: 0.020000
Training Epoch: 24 [9216/47500]	Loss: 0.5964	LR: 0.020000
Training Epoch: 24 [9472/47500]	Loss: 0.4753	LR: 0.020000
Training Epoch: 24 [9728/47500]	Loss: 0.5989	LR: 0.020000
Training Epoch: 24 [9984/47500]	Loss: 0.5576	LR: 0.020000
Training Epoch: 24 [10240/47500]	Loss: 0.5035	LR: 0.020000
Training Epoch: 24 [10496/47500]	Loss: 0.5226	LR: 0.020000
Training Epoch: 24 [10752/47500]	Loss: 0.5907	LR: 0.020000
Training Epoch: 24 [11008/47500]	Loss: 0.5745	LR: 0.020000
Training Epoch: 24 [11264/47500]	Loss: 0.5453	LR: 0.020000
Training Epoch: 24 [11520/47500]	Loss: 0.5755	LR: 0.020000
Training Epoch: 24 [11776/47500]	Loss: 0.5291	LR: 0.020000
Training Epoch: 24 [12032/47500]	Loss: 0.4273	LR: 0.020000
Training Epoch: 24 [12288/47500]	Loss: 0.5075	LR: 0.020000
Training Epoch: 24 [12544/47500]	Loss: 0.5280	LR: 0.020000
Training Epoch: 24 [12800/47500]	Loss: 0.6216	LR: 0.020000
Training Epoch: 24 [13056/47500]	Loss: 0.5216	LR: 0.020000
Training Epoch: 24 [13312/47500]	Loss: 0.4964	LR: 0.020000
Training Epoch: 24 [13568/47500]	Loss: 0.6142	LR: 0.020000
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Training Epoch: 24 [14080/47500]	Loss: 0.5970	LR: 0.020000
Training Epoch: 24 [14336/47500]	Loss: 0.5896	LR: 0.020000
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Training Epoch: 24 [14848/47500]	Loss: 0.5886	LR: 0.020000
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Training Epoch: 24 [15616/47500]	Loss: 0.4981	LR: 0.020000
Training Epoch: 24 [15872/47500]	Loss: 0.5979	LR: 0.020000
Training Epoch: 24 [16128/47500]	Loss: 0.6317	LR: 0.020000
Training Epoch: 24 [16384/47500]	Loss: 0.5685	LR: 0.020000
Training Epoch: 24 [16640/47500]	Loss: 0.6144	LR: 0.020000
Training Epoch: 24 [16896/47500]	Loss: 0.4981	LR: 0.020000
Training Epoch: 24 [17152/47500]	Loss: 0.5421	LR: 0.020000
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Training Epoch: 24 [17664/47500]	Loss: 0.5694	LR: 0.020000
Training Epoch: 24 [17920/47500]	Loss: 0.6103	LR: 0.020000
Training Epoch: 24 [18176/47500]	Loss: 0.5615	LR: 0.020000
Training Epoch: 24 [18432/47500]	Loss: 0.5020	LR: 0.020000
Training Epoch: 24 [18688/47500]	Loss: 0.5417	LR: 0.020000
Training Epoch: 24 [18944/47500]	Loss: 0.5850	LR: 0.020000
Training Epoch: 24 [19200/47500]	Loss: 0.5194	LR: 0.020000
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Training Epoch: 24 [19712/47500]	Loss: 0.6905	LR: 0.020000
Training Epoch: 24 [19968/47500]	Loss: 0.5463	LR: 0.020000
Training Epoch: 24 [20224/47500]	Loss: 0.5983	LR: 0.020000
Training Epoch: 24 [20480/47500]	Loss: 0.5359	LR: 0.020000
Training Epoch: 24 [20736/47500]	Loss: 0.6443	LR: 0.020000
Training Epoch: 24 [20992/47500]	Loss: 0.6801	LR: 0.020000
Training Epoch: 24 [21248/47500]	Loss: 0.4706	LR: 0.020000
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Training Epoch: 24 [22016/47500]	Loss: 0.6059	LR: 0.020000
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Training Epoch: 24 [23040/47500]	Loss: 0.4965	LR: 0.020000
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Training Epoch: 24 [40192/47500]	Loss: 0.5314	LR: 0.020000
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Training Epoch: 24 [41728/47500]	Loss: 0.5611	LR: 0.020000
Training Epoch: 24 [41984/47500]	Loss: 0.6265	LR: 0.020000
Training Epoch: 24 [42240/47500]	Loss: 0.4650	LR: 0.020000
Training Epoch: 24 [42496/47500]	Loss: 0.4649	LR: 0.020000
Training Epoch: 24 [42752/47500]	Loss: 0.5306	LR: 0.020000
Training Epoch: 24 [43008/47500]	Loss: 0.5932	LR: 0.020000
Training Epoch: 24 [43264/47500]	Loss: 0.5894	LR: 0.020000
Training Epoch: 24 [43520/47500]	Loss: 0.5599	LR: 0.020000
Training Epoch: 24 [43776/47500]	Loss: 0.6142	LR: 0.020000
Training Epoch: 24 [44032/47500]	Loss: 0.5640	LR: 0.020000
Training Epoch: 24 [44288/47500]	Loss: 0.6696	LR: 0.020000
Training Epoch: 24 [44544/47500]	Loss: 0.6181	LR: 0.020000
Training Epoch: 24 [44800/47500]	Loss: 0.5333	LR: 0.020000
Training Epoch: 24 [45056/47500]	Loss: 0.5437	LR: 0.020000
Training Epoch: 24 [45312/47500]	Loss: 0.6214	LR: 0.020000
Training Epoch: 24 [45568/47500]	Loss: 0.6226	LR: 0.020000
Training Epoch: 24 [45824/47500]	Loss: 0.5564	LR: 0.020000
Training Epoch: 24 [46080/47500]	Loss: 0.5559	LR: 0.020000
Training Epoch: 24 [46336/47500]	Loss: 0.5667	LR: 0.020000
Training Epoch: 24 [46592/47500]	Loss: 0.5076	LR: 0.020000
Training Epoch: 24 [46848/47500]	Loss: 0.5138	LR: 0.020000
Training Epoch: 24 [47104/47500]	Loss: 0.5212	LR: 0.020000
Training Epoch: 24 [47360/47500]	Loss: 0.6631	LR: 0.020000
Training Epoch: 24 [47500/47500]	Loss: 0.5468	LR: 0.020000
Epoch 24 - Average Train Loss: 0.5598, Train Accuracy: 0.8194
Epoch 24 training time consumed: 25.40s
Evaluating Network.....
Test set: Epoch: 24, Average loss: 0.0035, Accuracy: 0.7390, Time consumed:0.85s
Training Epoch: 25 [256/47500]	Loss: 0.5657	LR: 0.020000
Training Epoch: 25 [512/47500]	Loss: 0.4231	LR: 0.020000
Training Epoch: 25 [768/47500]	Loss: 0.5020	LR: 0.020000
Training Epoch: 25 [1024/47500]	Loss: 0.6457	LR: 0.020000
Training Epoch: 25 [1280/47500]	Loss: 0.4392	LR: 0.020000
Training Epoch: 25 [1536/47500]	Loss: 0.5038	LR: 0.020000
Training Epoch: 25 [1792/47500]	Loss: 0.4913	LR: 0.020000
Training Epoch: 25 [2048/47500]	Loss: 0.5186	LR: 0.020000
Training Epoch: 25 [2304/47500]	Loss: 0.6372	LR: 0.020000
Training Epoch: 25 [2560/47500]	Loss: 0.5024	LR: 0.020000
Training Epoch: 25 [2816/47500]	Loss: 0.4866	LR: 0.020000
Training Epoch: 25 [3072/47500]	Loss: 0.4558	LR: 0.020000
Training Epoch: 25 [3328/47500]	Loss: 0.4987	LR: 0.020000
Training Epoch: 25 [3584/47500]	Loss: 0.5068	LR: 0.020000
Training Epoch: 25 [3840/47500]	Loss: 0.5330	LR: 0.020000
Training Epoch: 25 [4096/47500]	Loss: 0.4765	LR: 0.020000
Training Epoch: 25 [4352/47500]	Loss: 0.5364	LR: 0.020000
Training Epoch: 25 [4608/47500]	Loss: 0.5929	LR: 0.020000
Training Epoch: 25 [4864/47500]	Loss: 0.4847	LR: 0.020000
Training Epoch: 25 [5120/47500]	Loss: 0.5659	LR: 0.020000
Training Epoch: 25 [5376/47500]	Loss: 0.6109	LR: 0.020000
Training Epoch: 25 [5632/47500]	Loss: 0.5076	LR: 0.020000
Training Epoch: 25 [5888/47500]	Loss: 0.4190	LR: 0.020000
Training Epoch: 25 [6144/47500]	Loss: 0.4947	LR: 0.020000
Training Epoch: 25 [6400/47500]	Loss: 0.4269	LR: 0.020000
Training Epoch: 25 [6656/47500]	Loss: 0.5959	LR: 0.020000
Training Epoch: 25 [6912/47500]	Loss: 0.5814	LR: 0.020000
Training Epoch: 25 [7168/47500]	Loss: 0.5399	LR: 0.020000
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Training Epoch: 25 [7680/47500]	Loss: 0.5063	LR: 0.020000
Training Epoch: 25 [7936/47500]	Loss: 0.4437	LR: 0.020000
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Training Epoch: 25 [8448/47500]	Loss: 0.5750	LR: 0.020000
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Training Epoch: 25 [10496/47500]	Loss: 0.5898	LR: 0.020000
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Training Epoch: 25 [11008/47500]	Loss: 0.6192	LR: 0.020000
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Training Epoch: 25 [12032/47500]	Loss: 0.6132	LR: 0.020000
Training Epoch: 25 [12288/47500]	Loss: 0.4776	LR: 0.020000
Training Epoch: 25 [12544/47500]	Loss: 0.5500	LR: 0.020000
Training Epoch: 25 [12800/47500]	Loss: 0.4852	LR: 0.020000
Training Epoch: 25 [13056/47500]	Loss: 0.4608	LR: 0.020000
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Training Epoch: 25 [14336/47500]	Loss: 0.4906	LR: 0.020000
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Training Epoch: 25 [15360/47500]	Loss: 0.6191	LR: 0.020000
Training Epoch: 25 [15616/47500]	Loss: 0.5171	LR: 0.020000
Training Epoch: 25 [15872/47500]	Loss: 0.5681	LR: 0.020000
Training Epoch: 25 [16128/47500]	Loss: 0.4955	LR: 0.020000
Training Epoch: 25 [16384/47500]	Loss: 0.5866	LR: 0.020000
Training Epoch: 25 [16640/47500]	Loss: 0.6133	LR: 0.020000
Training Epoch: 25 [16896/47500]	Loss: 0.5028	LR: 0.020000
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Training Epoch: 25 [18944/47500]	Loss: 0.4686	LR: 0.020000
Training Epoch: 25 [19200/47500]	Loss: 0.6206	LR: 0.020000
Training Epoch: 25 [19456/47500]	Loss: 0.6815	LR: 0.020000
Training Epoch: 25 [19712/47500]	Loss: 0.5483	LR: 0.020000
Training Epoch: 25 [19968/47500]	Loss: 0.4982	LR: 0.020000
Training Epoch: 25 [20224/47500]	Loss: 0.6008	LR: 0.020000
Training Epoch: 25 [20480/47500]	Loss: 0.6435	LR: 0.020000
Training Epoch: 25 [20736/47500]	Loss: 0.5755	LR: 0.020000
Training Epoch: 25 [20992/47500]	Loss: 0.5281	LR: 0.020000
Training Epoch: 25 [21248/47500]	Loss: 0.5869	LR: 0.020000
Training Epoch: 25 [21504/47500]	Loss: 0.5790	LR: 0.020000
Training Epoch: 25 [21760/47500]	Loss: 0.6903	LR: 0.020000
Training Epoch: 25 [22016/47500]	Loss: 0.5250	LR: 0.020000
Training Epoch: 25 [22272/47500]	Loss: 0.5034	LR: 0.020000
Training Epoch: 25 [22528/47500]	Loss: 0.5708	LR: 0.020000
Training Epoch: 25 [22784/47500]	Loss: 0.5624	LR: 0.020000
Training Epoch: 25 [23040/47500]	Loss: 0.5935	LR: 0.020000
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Training Epoch: 25 [23808/47500]	Loss: 0.4260	LR: 0.020000
Training Epoch: 25 [24064/47500]	Loss: 0.5172	LR: 0.020000
Training Epoch: 25 [24320/47500]	Loss: 0.5860	LR: 0.020000
Training Epoch: 25 [24576/47500]	Loss: 0.5207	LR: 0.020000
Training Epoch: 25 [24832/47500]	Loss: 0.6505	LR: 0.020000
Training Epoch: 25 [25088/47500]	Loss: 0.5272	LR: 0.020000
Training Epoch: 25 [25344/47500]	Loss: 0.6045	LR: 0.020000
Training Epoch: 25 [25600/47500]	Loss: 0.6335	LR: 0.020000
Training Epoch: 25 [25856/47500]	Loss: 0.4988	LR: 0.020000
Training Epoch: 25 [26112/47500]	Loss: 0.5281	LR: 0.020000
Training Epoch: 25 [26368/47500]	Loss: 0.6259	LR: 0.020000
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Training Epoch: 25 [27648/47500]	Loss: 0.4304	LR: 0.020000
Training Epoch: 25 [27904/47500]	Loss: 0.4558	LR: 0.020000
Training Epoch: 25 [28160/47500]	Loss: 0.5163	LR: 0.020000
Training Epoch: 25 [28416/47500]	Loss: 0.5206	LR: 0.020000
Training Epoch: 25 [28672/47500]	Loss: 0.5259	LR: 0.020000
Training Epoch: 25 [28928/47500]	Loss: 0.5482	LR: 0.020000
Training Epoch: 25 [29184/47500]	Loss: 0.5609	LR: 0.020000
Training Epoch: 25 [29440/47500]	Loss: 0.5632	LR: 0.020000
Training Epoch: 25 [29696/47500]	Loss: 0.5491	LR: 0.020000
Training Epoch: 25 [29952/47500]	Loss: 0.4207	LR: 0.020000
Training Epoch: 25 [30208/47500]	Loss: 0.5311	LR: 0.020000
Training Epoch: 25 [30464/47500]	Loss: 0.5793	LR: 0.020000
Training Epoch: 25 [30720/47500]	Loss: 0.6309	LR: 0.020000
Training Epoch: 25 [30976/47500]	Loss: 0.5390	LR: 0.020000
Training Epoch: 25 [31232/47500]	Loss: 0.6109	LR: 0.020000
Training Epoch: 25 [31488/47500]	Loss: 0.6093	LR: 0.020000
Training Epoch: 25 [31744/47500]	Loss: 0.5808	LR: 0.020000
Training Epoch: 25 [32000/47500]	Loss: 0.5638	LR: 0.020000
Training Epoch: 25 [32256/47500]	Loss: 0.4886	LR: 0.020000
Training Epoch: 25 [32512/47500]	Loss: 0.6108	LR: 0.020000
Training Epoch: 25 [32768/47500]	Loss: 0.6849	LR: 0.020000
Training Epoch: 25 [33024/47500]	Loss: 0.4860	LR: 0.020000
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Training Epoch: 25 [34304/47500]	Loss: 0.6757	LR: 0.020000
Training Epoch: 25 [34560/47500]	Loss: 0.5322	LR: 0.020000
Training Epoch: 25 [34816/47500]	Loss: 0.4585	LR: 0.020000
Training Epoch: 25 [35072/47500]	Loss: 0.5151	LR: 0.020000
Training Epoch: 25 [35328/47500]	Loss: 0.5881	LR: 0.020000
Training Epoch: 25 [35584/47500]	Loss: 0.4846	LR: 0.020000
Training Epoch: 25 [35840/47500]	Loss: 0.5640	LR: 0.020000
Training Epoch: 25 [36096/47500]	Loss: 0.5644	LR: 0.020000
Training Epoch: 25 [36352/47500]	Loss: 0.5797	LR: 0.020000
Training Epoch: 25 [36608/47500]	Loss: 0.6111	LR: 0.020000
Training Epoch: 25 [36864/47500]	Loss: 0.5677	LR: 0.020000
Training Epoch: 25 [37120/47500]	Loss: 0.5693	LR: 0.020000
Training Epoch: 25 [37376/47500]	Loss: 0.5476	LR: 0.020000
Training Epoch: 25 [37632/47500]	Loss: 0.6782	LR: 0.020000
Training Epoch: 25 [37888/47500]	Loss: 0.5834	LR: 0.020000
Training Epoch: 25 [38144/47500]	Loss: 0.5477	LR: 0.020000
Training Epoch: 25 [38400/47500]	Loss: 0.5579	LR: 0.020000
Training Epoch: 25 [38656/47500]	Loss: 0.4828	LR: 0.020000
Training Epoch: 25 [38912/47500]	Loss: 0.5178	LR: 0.020000
Training Epoch: 25 [39168/47500]	Loss: 0.5570	LR: 0.020000
Training Epoch: 25 [39424/47500]	Loss: 0.5448	LR: 0.020000
Training Epoch: 25 [39680/47500]	Loss: 0.5238	LR: 0.020000
Training Epoch: 25 [39936/47500]	Loss: 0.5237	LR: 0.020000
Training Epoch: 25 [40192/47500]	Loss: 0.5115	LR: 0.020000
Training Epoch: 25 [40448/47500]	Loss: 0.5676	LR: 0.020000
Training Epoch: 25 [40704/47500]	Loss: 0.5198	LR: 0.020000
Training Epoch: 25 [40960/47500]	Loss: 0.5858	LR: 0.020000
Training Epoch: 25 [41216/47500]	Loss: 0.4851	LR: 0.020000
Training Epoch: 25 [41472/47500]	Loss: 0.5878	LR: 0.020000
Training Epoch: 25 [41728/47500]	Loss: 0.5865	LR: 0.020000
Training Epoch: 25 [41984/47500]	Loss: 0.6179	LR: 0.020000
Training Epoch: 25 [42240/47500]	Loss: 0.5376	LR: 0.020000
Training Epoch: 25 [42496/47500]	Loss: 0.5777	LR: 0.020000
Training Epoch: 25 [42752/47500]	Loss: 0.5209	LR: 0.020000
Training Epoch: 25 [43008/47500]	Loss: 0.5439	LR: 0.020000
Training Epoch: 25 [43264/47500]	Loss: 0.5498	LR: 0.020000
Training Epoch: 25 [43520/47500]	Loss: 0.5237	LR: 0.020000
Training Epoch: 25 [43776/47500]	Loss: 0.5081	LR: 0.020000
Training Epoch: 25 [44032/47500]	Loss: 0.4887	LR: 0.020000
Training Epoch: 25 [44288/47500]	Loss: 0.5390	LR: 0.020000
Training Epoch: 25 [44544/47500]	Loss: 0.6136	LR: 0.020000
Training Epoch: 25 [44800/47500]	Loss: 0.7012	LR: 0.020000
Training Epoch: 25 [45056/47500]	Loss: 0.6284	LR: 0.020000
Training Epoch: 25 [45312/47500]	Loss: 0.5866	LR: 0.020000
Training Epoch: 25 [45568/47500]	Loss: 0.5770	LR: 0.020000
Training Epoch: 25 [45824/47500]	Loss: 0.5706	LR: 0.020000
Training Epoch: 25 [46080/47500]	Loss: 0.5294	LR: 0.020000
Training Epoch: 25 [46336/47500]	Loss: 0.5691	LR: 0.020000
Training Epoch: 25 [46592/47500]	Loss: 0.5343	LR: 0.020000
Training Epoch: 25 [46848/47500]	Loss: 0.5774	LR: 0.020000
Training Epoch: 25 [47104/47500]	Loss: 0.6337	LR: 0.020000
Training Epoch: 25 [47360/47500]	Loss: 0.5058	LR: 0.020000
Training Epoch: 25 [47500/47500]	Loss: 0.6479	LR: 0.020000
Epoch 25 - Average Train Loss: 0.5467, Train Accuracy: 0.8226
Epoch 25 training time consumed: 25.73s
Evaluating Network.....
Test set: Epoch: 25, Average loss: 0.0034, Accuracy: 0.7443, Time consumed:0.85s
Training Epoch: 26 [256/47500]	Loss: 0.4850	LR: 0.020000
Training Epoch: 26 [512/47500]	Loss: 0.5015	LR: 0.020000
Training Epoch: 26 [768/47500]	Loss: 0.5983	LR: 0.020000
Training Epoch: 26 [1024/47500]	Loss: 0.4904	LR: 0.020000
Training Epoch: 26 [1280/47500]	Loss: 0.5746	LR: 0.020000
Training Epoch: 26 [1536/47500]	Loss: 0.4124	LR: 0.020000
Training Epoch: 26 [1792/47500]	Loss: 0.4467	LR: 0.020000
Training Epoch: 26 [2048/47500]	Loss: 0.4295	LR: 0.020000
Training Epoch: 26 [2304/47500]	Loss: 0.5059	LR: 0.020000
Training Epoch: 26 [2560/47500]	Loss: 0.5048	LR: 0.020000
Training Epoch: 26 [2816/47500]	Loss: 0.4078	LR: 0.020000
Training Epoch: 26 [3072/47500]	Loss: 0.5448	LR: 0.020000
Training Epoch: 26 [3328/47500]	Loss: 0.4778	LR: 0.020000
Training Epoch: 26 [3584/47500]	Loss: 0.5514	LR: 0.020000
Training Epoch: 26 [3840/47500]	Loss: 0.4446	LR: 0.020000
Training Epoch: 26 [4096/47500]	Loss: 0.5358	LR: 0.020000
Training Epoch: 26 [4352/47500]	Loss: 0.4982	LR: 0.020000
Training Epoch: 26 [4608/47500]	Loss: 0.4877	LR: 0.020000
Training Epoch: 26 [4864/47500]	Loss: 0.4956	LR: 0.020000
Training Epoch: 26 [5120/47500]	Loss: 0.5157	LR: 0.020000
Training Epoch: 26 [5376/47500]	Loss: 0.5097	LR: 0.020000
Training Epoch: 26 [5632/47500]	Loss: 0.5558	LR: 0.020000
Training Epoch: 26 [5888/47500]	Loss: 0.5709	LR: 0.020000
Training Epoch: 26 [6144/47500]	Loss: 0.6028	LR: 0.020000
Training Epoch: 26 [6400/47500]	Loss: 0.4644	LR: 0.020000
Training Epoch: 26 [6656/47500]	Loss: 0.5107	LR: 0.020000
Training Epoch: 26 [6912/47500]	Loss: 0.4527	LR: 0.020000
Training Epoch: 26 [7168/47500]	Loss: 0.5468	LR: 0.020000
Training Epoch: 26 [7424/47500]	Loss: 0.5568	LR: 0.020000
Training Epoch: 26 [7680/47500]	Loss: 0.4171	LR: 0.020000
Training Epoch: 26 [7936/47500]	Loss: 0.4867	LR: 0.020000
Training Epoch: 26 [8192/47500]	Loss: 0.4958	LR: 0.020000
Training Epoch: 26 [8448/47500]	Loss: 0.5203	LR: 0.020000
Training Epoch: 26 [8704/47500]	Loss: 0.5335	LR: 0.020000
Training Epoch: 26 [8960/47500]	Loss: 0.5962	LR: 0.020000
Training Epoch: 26 [9216/47500]	Loss: 0.4658	LR: 0.020000
Training Epoch: 26 [9472/47500]	Loss: 0.6616	LR: 0.020000
Training Epoch: 26 [9728/47500]	Loss: 0.4940	LR: 0.020000
Training Epoch: 26 [9984/47500]	Loss: 0.5685	LR: 0.020000
Training Epoch: 26 [10240/47500]	Loss: 0.4535	LR: 0.020000
Training Epoch: 26 [10496/47500]	Loss: 0.4371	LR: 0.020000
Training Epoch: 26 [10752/47500]	Loss: 0.5772	LR: 0.020000
Training Epoch: 26 [11008/47500]	Loss: 0.5242	LR: 0.020000
Training Epoch: 26 [11264/47500]	Loss: 0.5958	LR: 0.020000
Training Epoch: 26 [11520/47500]	Loss: 0.5606	LR: 0.020000
Training Epoch: 26 [11776/47500]	Loss: 0.5651	LR: 0.020000
Training Epoch: 26 [12032/47500]	Loss: 0.5440	LR: 0.020000
Training Epoch: 26 [12288/47500]	Loss: 0.5933	LR: 0.020000
Training Epoch: 26 [12544/47500]	Loss: 0.5023	LR: 0.020000
Training Epoch: 26 [12800/47500]	Loss: 0.4686	LR: 0.020000
Training Epoch: 26 [13056/47500]	Loss: 0.4824	LR: 0.020000
Training Epoch: 26 [13312/47500]	Loss: 0.5007	LR: 0.020000
Training Epoch: 26 [13568/47500]	Loss: 0.5538	LR: 0.020000
Training Epoch: 26 [13824/47500]	Loss: 0.5810	LR: 0.020000
Training Epoch: 26 [14080/47500]	Loss: 0.4978	LR: 0.020000
Training Epoch: 26 [14336/47500]	Loss: 0.5855	LR: 0.020000
Training Epoch: 26 [14592/47500]	Loss: 0.5779	LR: 0.020000
Training Epoch: 26 [14848/47500]	Loss: 0.5534	LR: 0.020000
Training Epoch: 26 [15104/47500]	Loss: 0.5024	LR: 0.020000
Training Epoch: 26 [15360/47500]	Loss: 0.5763	LR: 0.020000
Training Epoch: 26 [15616/47500]	Loss: 0.6735	LR: 0.020000
Training Epoch: 26 [15872/47500]	Loss: 0.4457	LR: 0.020000
Training Epoch: 26 [16128/47500]	Loss: 0.5806	LR: 0.020000
Training Epoch: 26 [16384/47500]	Loss: 0.4962	LR: 0.020000
Training Epoch: 26 [16640/47500]	Loss: 0.4468	LR: 0.020000
Training Epoch: 26 [16896/47500]	Loss: 0.4711	LR: 0.020000
Training Epoch: 26 [17152/47500]	Loss: 0.5615	LR: 0.020000
Training Epoch: 26 [17408/47500]	Loss: 0.5931	LR: 0.020000
Training Epoch: 26 [17664/47500]	Loss: 0.4648	LR: 0.020000
Training Epoch: 26 [17920/47500]	Loss: 0.5673	LR: 0.020000
Training Epoch: 26 [18176/47500]	Loss: 0.4881	LR: 0.020000
Training Epoch: 26 [18432/47500]	Loss: 0.6189	LR: 0.020000
Training Epoch: 26 [18688/47500]	Loss: 0.4840	LR: 0.020000
Training Epoch: 26 [18944/47500]	Loss: 0.4859	LR: 0.020000
Training Epoch: 26 [19200/47500]	Loss: 0.6736	LR: 0.020000
Training Epoch: 26 [19456/47500]	Loss: 0.5616	LR: 0.020000
Training Epoch: 26 [19712/47500]	Loss: 0.6366	LR: 0.020000
Training Epoch: 26 [19968/47500]	Loss: 0.5189	LR: 0.020000
Training Epoch: 26 [20224/47500]	Loss: 0.5815	LR: 0.020000
Training Epoch: 26 [20480/47500]	Loss: 0.5156	LR: 0.020000
Training Epoch: 26 [20736/47500]	Loss: 0.5730	LR: 0.020000
Training Epoch: 26 [20992/47500]	Loss: 0.4701	LR: 0.020000
Training Epoch: 26 [21248/47500]	Loss: 0.5394	LR: 0.020000
Training Epoch: 26 [21504/47500]	Loss: 0.4999	LR: 0.020000
Training Epoch: 26 [21760/47500]	Loss: 0.4748	LR: 0.020000
Training Epoch: 26 [22016/47500]	Loss: 0.5369	LR: 0.020000
Training Epoch: 26 [22272/47500]	Loss: 0.5358	LR: 0.020000
Training Epoch: 26 [22528/47500]	Loss: 0.5164	LR: 0.020000
Training Epoch: 26 [22784/47500]	Loss: 0.5654	LR: 0.020000
Training Epoch: 26 [23040/47500]	Loss: 0.6431	LR: 0.020000
Training Epoch: 26 [23296/47500]	Loss: 0.5153	LR: 0.020000
Training Epoch: 26 [23552/47500]	Loss: 0.6396	LR: 0.020000
Training Epoch: 26 [23808/47500]	Loss: 0.4805	LR: 0.020000
Training Epoch: 26 [24064/47500]	Loss: 0.6438	LR: 0.020000
Training Epoch: 26 [24320/47500]	Loss: 0.4293	LR: 0.020000
Training Epoch: 26 [24576/47500]	Loss: 0.5588	LR: 0.020000
Training Epoch: 26 [24832/47500]	Loss: 0.5261	LR: 0.020000
Training Epoch: 26 [25088/47500]	Loss: 0.5957	LR: 0.020000
Training Epoch: 26 [25344/47500]	Loss: 0.5176	LR: 0.020000
Training Epoch: 26 [25600/47500]	Loss: 0.4994	LR: 0.020000
Training Epoch: 26 [25856/47500]	Loss: 0.6726	LR: 0.020000
Training Epoch: 26 [26112/47500]	Loss: 0.6313	LR: 0.020000
Training Epoch: 26 [26368/47500]	Loss: 0.6276	LR: 0.020000
Training Epoch: 26 [26624/47500]	Loss: 0.6226	LR: 0.020000
Training Epoch: 26 [26880/47500]	Loss: 0.5352	LR: 0.020000
Training Epoch: 26 [27136/47500]	Loss: 0.5646	LR: 0.020000
Training Epoch: 26 [27392/47500]	Loss: 0.5228	LR: 0.020000
Training Epoch: 26 [27648/47500]	Loss: 0.5378	LR: 0.020000
Training Epoch: 26 [27904/47500]	Loss: 0.6608	LR: 0.020000
Training Epoch: 26 [28160/47500]	Loss: 0.5640	LR: 0.020000
Training Epoch: 26 [28416/47500]	Loss: 0.3872	LR: 0.020000
Training Epoch: 26 [28672/47500]	Loss: 0.4579	LR: 0.020000
Training Epoch: 26 [28928/47500]	Loss: 0.5701	LR: 0.020000
Training Epoch: 26 [29184/47500]	Loss: 0.5543	LR: 0.020000
Training Epoch: 26 [29440/47500]	Loss: 0.4771	LR: 0.020000
Training Epoch: 26 [29696/47500]	Loss: 0.6290	LR: 0.020000
Training Epoch: 26 [29952/47500]	Loss: 0.5336	LR: 0.020000
Training Epoch: 26 [30208/47500]	Loss: 0.6499	LR: 0.020000
Training Epoch: 26 [30464/47500]	Loss: 0.5147	LR: 0.020000
Training Epoch: 26 [30720/47500]	Loss: 0.4616	LR: 0.020000
Training Epoch: 26 [30976/47500]	Loss: 0.6004	LR: 0.020000
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Training Epoch: 26 [31488/47500]	Loss: 0.6034	LR: 0.020000
Training Epoch: 26 [31744/47500]	Loss: 0.4600	LR: 0.020000
Training Epoch: 26 [32000/47500]	Loss: 0.5172	LR: 0.020000
Training Epoch: 26 [32256/47500]	Loss: 0.4412	LR: 0.020000
Training Epoch: 26 [32512/47500]	Loss: 0.6087	LR: 0.020000
Training Epoch: 26 [32768/47500]	Loss: 0.4751	LR: 0.020000
Training Epoch: 26 [33024/47500]	Loss: 0.5786	LR: 0.020000
Training Epoch: 26 [33280/47500]	Loss: 0.5556	LR: 0.020000
Training Epoch: 26 [33536/47500]	Loss: 0.5197	LR: 0.020000
Training Epoch: 26 [33792/47500]	Loss: 0.5964	LR: 0.020000
Training Epoch: 26 [34048/47500]	Loss: 0.5144	LR: 0.020000
Training Epoch: 26 [34304/47500]	Loss: 0.5758	LR: 0.020000
Training Epoch: 26 [34560/47500]	Loss: 0.4841	LR: 0.020000
Training Epoch: 26 [34816/47500]	Loss: 0.4730	LR: 0.020000
Training Epoch: 26 [35072/47500]	Loss: 0.6143	LR: 0.020000
Training Epoch: 26 [35328/47500]	Loss: 0.5691	LR: 0.020000
Training Epoch: 26 [35584/47500]	Loss: 0.5816	LR: 0.020000
Training Epoch: 26 [35840/47500]	Loss: 0.5965	LR: 0.020000
Training Epoch: 26 [36096/47500]	Loss: 0.5796	LR: 0.020000
Training Epoch: 26 [36352/47500]	Loss: 0.4575	LR: 0.020000
Training Epoch: 26 [36608/47500]	Loss: 0.5503	LR: 0.020000
Training Epoch: 26 [36864/47500]	Loss: 0.5548	LR: 0.020000
Training Epoch: 26 [37120/47500]	Loss: 0.5691	LR: 0.020000
Training Epoch: 26 [37376/47500]	Loss: 0.4233	LR: 0.020000
Training Epoch: 26 [37632/47500]	Loss: 0.4930	LR: 0.020000
Training Epoch: 26 [37888/47500]	Loss: 0.5162	LR: 0.020000
Training Epoch: 26 [38144/47500]	Loss: 0.5420	LR: 0.020000
Training Epoch: 26 [38400/47500]	Loss: 0.5842	LR: 0.020000
Training Epoch: 26 [38656/47500]	Loss: 0.5850	LR: 0.020000
Training Epoch: 26 [38912/47500]	Loss: 0.5897	LR: 0.020000
Training Epoch: 26 [39168/47500]	Loss: 0.5780	LR: 0.020000
Training Epoch: 26 [39424/47500]	Loss: 0.5879	LR: 0.020000
Training Epoch: 26 [39680/47500]	Loss: 0.5468	LR: 0.020000
Training Epoch: 26 [39936/47500]	Loss: 0.5314	LR: 0.020000
Training Epoch: 26 [40192/47500]	Loss: 0.4889	LR: 0.020000
Training Epoch: 26 [40448/47500]	Loss: 0.4846	LR: 0.020000
Training Epoch: 26 [40704/47500]	Loss: 0.5744	LR: 0.020000
Training Epoch: 26 [40960/47500]	Loss: 0.4970	LR: 0.020000
Training Epoch: 26 [41216/47500]	Loss: 0.5756	LR: 0.020000
Training Epoch: 26 [41472/47500]	Loss: 0.6179	LR: 0.020000
Training Epoch: 26 [41728/47500]	Loss: 0.4392	LR: 0.020000
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Training Epoch: 26 [45056/47500]	Loss: 0.5752	LR: 0.020000
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Training Epoch: 26 [46848/47500]	Loss: 0.5706	LR: 0.020000
Training Epoch: 26 [47104/47500]	Loss: 0.5075	LR: 0.020000
Training Epoch: 26 [47360/47500]	Loss: 0.5089	LR: 0.020000
Training Epoch: 26 [47500/47500]	Loss: 0.6853	LR: 0.020000
Epoch 26 - Average Train Loss: 0.5364, Train Accuracy: 0.8267
Epoch 26 training time consumed: 25.43s
Evaluating Network.....
Test set: Epoch: 26, Average loss: 0.0036, Accuracy: 0.7438, Time consumed:0.95s
Training Epoch: 27 [256/47500]	Loss: 0.5462	LR: 0.020000
Training Epoch: 27 [512/47500]	Loss: 0.6482	LR: 0.020000
Training Epoch: 27 [768/47500]	Loss: 0.3880	LR: 0.020000
Training Epoch: 27 [1024/47500]	Loss: 0.4355	LR: 0.020000
Training Epoch: 27 [1280/47500]	Loss: 0.5180	LR: 0.020000
Training Epoch: 27 [1536/47500]	Loss: 0.5155	LR: 0.020000
Training Epoch: 27 [1792/47500]	Loss: 0.5241	LR: 0.020000
Training Epoch: 27 [2048/47500]	Loss: 0.5021	LR: 0.020000
Training Epoch: 27 [2304/47500]	Loss: 0.4587	LR: 0.020000
Training Epoch: 27 [2560/47500]	Loss: 0.4860	LR: 0.020000
Training Epoch: 27 [2816/47500]	Loss: 0.5904	LR: 0.020000
Training Epoch: 27 [3072/47500]	Loss: 0.5997	LR: 0.020000
Training Epoch: 27 [3328/47500]	Loss: 0.4358	LR: 0.020000
Training Epoch: 27 [3584/47500]	Loss: 0.4413	LR: 0.020000
Training Epoch: 27 [3840/47500]	Loss: 0.4548	LR: 0.020000
Training Epoch: 27 [4096/47500]	Loss: 0.5219	LR: 0.020000
Training Epoch: 27 [4352/47500]	Loss: 0.4793	LR: 0.020000
Training Epoch: 27 [4608/47500]	Loss: 0.4977	LR: 0.020000
Training Epoch: 27 [4864/47500]	Loss: 0.4961	LR: 0.020000
Training Epoch: 27 [5120/47500]	Loss: 0.5942	LR: 0.020000
Training Epoch: 27 [5376/47500]	Loss: 0.5091	LR: 0.020000
Training Epoch: 27 [5632/47500]	Loss: 0.5215	LR: 0.020000
Training Epoch: 27 [5888/47500]	Loss: 0.5289	LR: 0.020000
Training Epoch: 27 [6144/47500]	Loss: 0.3897	LR: 0.020000
Training Epoch: 27 [6400/47500]	Loss: 0.5235	LR: 0.020000
Training Epoch: 27 [6656/47500]	Loss: 0.5502	LR: 0.020000
Training Epoch: 27 [6912/47500]	Loss: 0.5494	LR: 0.020000
Training Epoch: 27 [7168/47500]	Loss: 0.6056	LR: 0.020000
Training Epoch: 27 [7424/47500]	Loss: 0.4261	LR: 0.020000
Training Epoch: 27 [7680/47500]	Loss: 0.6315	LR: 0.020000
Training Epoch: 27 [7936/47500]	Loss: 0.5054	LR: 0.020000
Training Epoch: 27 [8192/47500]	Loss: 0.5293	LR: 0.020000
Training Epoch: 27 [8448/47500]	Loss: 0.4907	LR: 0.020000
Training Epoch: 27 [8704/47500]	Loss: 0.5217	LR: 0.020000
Training Epoch: 27 [8960/47500]	Loss: 0.4835	LR: 0.020000
Training Epoch: 27 [9216/47500]	Loss: 0.6226	LR: 0.020000
Training Epoch: 27 [9472/47500]	Loss: 0.5005	LR: 0.020000
Training Epoch: 27 [9728/47500]	Loss: 0.4909	LR: 0.020000
Training Epoch: 27 [9984/47500]	Loss: 0.4958	LR: 0.020000
Training Epoch: 27 [10240/47500]	Loss: 0.4781	LR: 0.020000
Training Epoch: 27 [10496/47500]	Loss: 0.4943	LR: 0.020000
Training Epoch: 27 [10752/47500]	Loss: 0.5339	LR: 0.020000
Training Epoch: 27 [11008/47500]	Loss: 0.5168	LR: 0.020000
Training Epoch: 27 [11264/47500]	Loss: 0.6055	LR: 0.020000
Training Epoch: 27 [11520/47500]	Loss: 0.5519	LR: 0.020000
Training Epoch: 27 [11776/47500]	Loss: 0.6483	LR: 0.020000
Training Epoch: 27 [12032/47500]	Loss: 0.4741	LR: 0.020000
Training Epoch: 27 [12288/47500]	Loss: 0.5570	LR: 0.020000
Training Epoch: 27 [12544/47500]	Loss: 0.5163	LR: 0.020000
Training Epoch: 27 [12800/47500]	Loss: 0.5530	LR: 0.020000
Training Epoch: 27 [13056/47500]	Loss: 0.4909	LR: 0.020000
Training Epoch: 27 [13312/47500]	Loss: 0.5310	LR: 0.020000
Training Epoch: 27 [13568/47500]	Loss: 0.5707	LR: 0.020000
Training Epoch: 27 [13824/47500]	Loss: 0.5681	LR: 0.020000
Training Epoch: 27 [14080/47500]	Loss: 0.5504	LR: 0.020000
Training Epoch: 27 [14336/47500]	Loss: 0.5002	LR: 0.020000
Training Epoch: 27 [14592/47500]	Loss: 0.5109	LR: 0.020000
Training Epoch: 27 [14848/47500]	Loss: 0.5207	LR: 0.020000
Training Epoch: 27 [15104/47500]	Loss: 0.4592	LR: 0.020000
Training Epoch: 27 [15360/47500]	Loss: 0.5487	LR: 0.020000
Training Epoch: 27 [15616/47500]	Loss: 0.4839	LR: 0.020000
Training Epoch: 27 [15872/47500]	Loss: 0.5818	LR: 0.020000
Training Epoch: 27 [16128/47500]	Loss: 0.5417	LR: 0.020000
Training Epoch: 27 [16384/47500]	Loss: 0.5202	LR: 0.020000
Training Epoch: 27 [16640/47500]	Loss: 0.6048	LR: 0.020000
Training Epoch: 27 [16896/47500]	Loss: 0.4560	LR: 0.020000
Training Epoch: 27 [17152/47500]	Loss: 0.3628	LR: 0.020000
Training Epoch: 27 [17408/47500]	Loss: 0.4457	LR: 0.020000
Training Epoch: 27 [17664/47500]	Loss: 0.6031	LR: 0.020000
Training Epoch: 27 [17920/47500]	Loss: 0.4772	LR: 0.020000
Training Epoch: 27 [18176/47500]	Loss: 0.5484	LR: 0.020000
Training Epoch: 27 [18432/47500]	Loss: 0.5762	LR: 0.020000
Training Epoch: 27 [18688/47500]	Loss: 0.4744	LR: 0.020000
Training Epoch: 27 [18944/47500]	Loss: 0.5397	LR: 0.020000
Training Epoch: 27 [19200/47500]	Loss: 0.4323	LR: 0.020000
Training Epoch: 27 [19456/47500]	Loss: 0.4904	LR: 0.020000
Training Epoch: 27 [19712/47500]	Loss: 0.5817	LR: 0.020000
Training Epoch: 27 [19968/47500]	Loss: 0.4225	LR: 0.020000
Training Epoch: 27 [20224/47500]	Loss: 0.4275	LR: 0.020000
Training Epoch: 27 [20480/47500]	Loss: 0.4763	LR: 0.020000
Training Epoch: 27 [20736/47500]	Loss: 0.6050	LR: 0.020000
Training Epoch: 27 [20992/47500]	Loss: 0.4325	LR: 0.020000
Training Epoch: 27 [21248/47500]	Loss: 0.5287	LR: 0.020000
Training Epoch: 27 [21504/47500]	Loss: 0.4673	LR: 0.020000
Training Epoch: 27 [21760/47500]	Loss: 0.4029	LR: 0.020000
Training Epoch: 27 [22016/47500]	Loss: 0.5100	LR: 0.020000
Training Epoch: 27 [22272/47500]	Loss: 0.5458	LR: 0.020000
Training Epoch: 27 [22528/47500]	Loss: 0.3919	LR: 0.020000
Training Epoch: 27 [22784/47500]	Loss: 0.5411	LR: 0.020000
Training Epoch: 27 [23040/47500]	Loss: 0.6238	LR: 0.020000
Training Epoch: 27 [23296/47500]	Loss: 0.5664	LR: 0.020000
Training Epoch: 27 [23552/47500]	Loss: 0.4954	LR: 0.020000
Training Epoch: 27 [23808/47500]	Loss: 0.5313	LR: 0.020000
Training Epoch: 27 [24064/47500]	Loss: 0.5266	LR: 0.020000
Training Epoch: 27 [24320/47500]	Loss: 0.4956	LR: 0.020000
Training Epoch: 27 [24576/47500]	Loss: 0.5336	LR: 0.020000
Training Epoch: 27 [24832/47500]	Loss: 0.5632	LR: 0.020000
Training Epoch: 27 [25088/47500]	Loss: 0.4687	LR: 0.020000
Training Epoch: 27 [25344/47500]	Loss: 0.5009	LR: 0.020000
Training Epoch: 27 [25600/47500]	Loss: 0.5831	LR: 0.020000
Training Epoch: 27 [25856/47500]	Loss: 0.4484	LR: 0.020000
Training Epoch: 27 [26112/47500]	Loss: 0.5425	LR: 0.020000
Training Epoch: 27 [26368/47500]	Loss: 0.5008	LR: 0.020000
Training Epoch: 27 [26624/47500]	Loss: 0.5722	LR: 0.020000
Training Epoch: 27 [26880/47500]	Loss: 0.5122	LR: 0.020000
Training Epoch: 27 [27136/47500]	Loss: 0.5968	LR: 0.020000
Training Epoch: 27 [27392/47500]	Loss: 0.4323	LR: 0.020000
Training Epoch: 27 [27648/47500]	Loss: 0.4724	LR: 0.020000
Training Epoch: 27 [27904/47500]	Loss: 0.5821	LR: 0.020000
Training Epoch: 27 [28160/47500]	Loss: 0.4973	LR: 0.020000
Training Epoch: 27 [28416/47500]	Loss: 0.5073	LR: 0.020000
Training Epoch: 27 [28672/47500]	Loss: 0.4786	LR: 0.020000
Training Epoch: 27 [28928/47500]	Loss: 0.6745	LR: 0.020000
Training Epoch: 27 [29184/47500]	Loss: 0.4891	LR: 0.020000
Training Epoch: 27 [29440/47500]	Loss: 0.5726	LR: 0.020000
Training Epoch: 27 [29696/47500]	Loss: 0.5158	LR: 0.020000
Training Epoch: 27 [29952/47500]	Loss: 0.5929	LR: 0.020000
Training Epoch: 27 [30208/47500]	Loss: 0.5492	LR: 0.020000
Training Epoch: 27 [30464/47500]	Loss: 0.5466	LR: 0.020000
Training Epoch: 27 [30720/47500]	Loss: 0.4718	LR: 0.020000
Training Epoch: 27 [30976/47500]	Loss: 0.4469	LR: 0.020000
Training Epoch: 27 [31232/47500]	Loss: 0.6118	LR: 0.020000
Training Epoch: 27 [31488/47500]	Loss: 0.5958	LR: 0.020000
Training Epoch: 27 [31744/47500]	Loss: 0.5158	LR: 0.020000
Training Epoch: 27 [32000/47500]	Loss: 0.4610	LR: 0.020000
Training Epoch: 27 [32256/47500]	Loss: 0.6231	LR: 0.020000
Training Epoch: 27 [32512/47500]	Loss: 0.6060	LR: 0.020000
Training Epoch: 27 [32768/47500]	Loss: 0.5433	LR: 0.020000
Training Epoch: 27 [33024/47500]	Loss: 0.5880	LR: 0.020000
Training Epoch: 27 [33280/47500]	Loss: 0.5402	LR: 0.020000
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Training Epoch: 27 [33792/47500]	Loss: 0.7350	LR: 0.020000
Training Epoch: 27 [34048/47500]	Loss: 0.6036	LR: 0.020000
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Training Epoch: 27 [34560/47500]	Loss: 0.6949	LR: 0.020000
Training Epoch: 27 [34816/47500]	Loss: 0.4950	LR: 0.020000
Training Epoch: 27 [35072/47500]	Loss: 0.4851	LR: 0.020000
Training Epoch: 27 [35328/47500]	Loss: 0.5548	LR: 0.020000
Training Epoch: 27 [35584/47500]	Loss: 0.5171	LR: 0.020000
Training Epoch: 27 [35840/47500]	Loss: 0.5730	LR: 0.020000
Training Epoch: 27 [36096/47500]	Loss: 0.5885	LR: 0.020000
Training Epoch: 27 [36352/47500]	Loss: 0.4301	LR: 0.020000
Training Epoch: 27 [36608/47500]	Loss: 0.5379	LR: 0.020000
Training Epoch: 27 [36864/47500]	Loss: 0.4585	LR: 0.020000
Training Epoch: 27 [37120/47500]	Loss: 0.3658	LR: 0.020000
Training Epoch: 27 [37376/47500]	Loss: 0.5897	LR: 0.020000
Training Epoch: 27 [37632/47500]	Loss: 0.4749	LR: 0.020000
Training Epoch: 27 [37888/47500]	Loss: 0.5387	LR: 0.020000
Training Epoch: 27 [38144/47500]	Loss: 0.6334	LR: 0.020000
Training Epoch: 27 [38400/47500]	Loss: 0.4961	LR: 0.020000
Training Epoch: 27 [38656/47500]	Loss: 0.7556	LR: 0.020000
Training Epoch: 27 [38912/47500]	Loss: 0.5006	LR: 0.020000
Training Epoch: 27 [39168/47500]	Loss: 0.4538	LR: 0.020000
Training Epoch: 27 [39424/47500]	Loss: 0.6245	LR: 0.020000
Training Epoch: 27 [39680/47500]	Loss: 0.4344	LR: 0.020000
Training Epoch: 27 [39936/47500]	Loss: 0.6109	LR: 0.020000
Training Epoch: 27 [40192/47500]	Loss: 0.5550	LR: 0.020000
Training Epoch: 27 [40448/47500]	Loss: 0.5093	LR: 0.020000
Training Epoch: 27 [40704/47500]	Loss: 0.6127	LR: 0.020000
Training Epoch: 27 [40960/47500]	Loss: 0.5184	LR: 0.020000
Training Epoch: 27 [41216/47500]	Loss: 0.5280	LR: 0.020000
Training Epoch: 27 [41472/47500]	Loss: 0.5336	LR: 0.020000
Training Epoch: 27 [41728/47500]	Loss: 0.5979	LR: 0.020000
Training Epoch: 27 [41984/47500]	Loss: 0.5559	LR: 0.020000
Training Epoch: 27 [42240/47500]	Loss: 0.5102	LR: 0.020000
Training Epoch: 27 [42496/47500]	Loss: 0.4645	LR: 0.020000
Training Epoch: 27 [42752/47500]	Loss: 0.6257	LR: 0.020000
Training Epoch: 27 [43008/47500]	Loss: 0.4997	LR: 0.020000
Training Epoch: 27 [43264/47500]	Loss: 0.5451	LR: 0.020000
Training Epoch: 27 [43520/47500]	Loss: 0.5006	LR: 0.020000
Training Epoch: 27 [43776/47500]	Loss: 0.4390	LR: 0.020000
Training Epoch: 27 [44032/47500]	Loss: 0.5311	LR: 0.020000
Training Epoch: 27 [44288/47500]	Loss: 0.7018	LR: 0.020000
Training Epoch: 27 [44544/47500]	Loss: 0.4979	LR: 0.020000
Training Epoch: 27 [44800/47500]	Loss: 0.6064	LR: 0.020000
Training Epoch: 27 [45056/47500]	Loss: 0.6301	LR: 0.020000
Training Epoch: 27 [45312/47500]	Loss: 0.4442	LR: 0.020000
Training Epoch: 27 [45568/47500]	Loss: 0.5095	LR: 0.020000
Training Epoch: 27 [45824/47500]	Loss: 0.5419	LR: 0.020000
Training Epoch: 27 [46080/47500]	Loss: 0.6511	LR: 0.020000
Training Epoch: 27 [46336/47500]	Loss: 0.5218	LR: 0.020000
Training Epoch: 27 [46592/47500]	Loss: 0.6492	LR: 0.020000
Training Epoch: 27 [46848/47500]	Loss: 0.5706	LR: 0.020000
Training Epoch: 27 [47104/47500]	Loss: 0.5313	LR: 0.020000
Training Epoch: 27 [47360/47500]	Loss: 0.6483	LR: 0.020000
Training Epoch: 27 [47500/47500]	Loss: 0.3837	LR: 0.020000
Epoch 27 - Average Train Loss: 0.5286, Train Accuracy: 0.8285
Epoch 27 training time consumed: 25.47s
Evaluating Network.....
Test set: Epoch: 27, Average loss: 0.0035, Accuracy: 0.7405, Time consumed:0.86s
Training Epoch: 28 [256/47500]	Loss: 0.4777	LR: 0.020000
Training Epoch: 28 [512/47500]	Loss: 0.4806	LR: 0.020000
Training Epoch: 28 [768/47500]	Loss: 0.5457	LR: 0.020000
Training Epoch: 28 [1024/47500]	Loss: 0.4539	LR: 0.020000
Training Epoch: 28 [1280/47500]	Loss: 0.4867	LR: 0.020000
Training Epoch: 28 [1536/47500]	Loss: 0.4793	LR: 0.020000
Training Epoch: 28 [1792/47500]	Loss: 0.4822	LR: 0.020000
Training Epoch: 28 [2048/47500]	Loss: 0.5218	LR: 0.020000
Training Epoch: 28 [2304/47500]	Loss: 0.5057	LR: 0.020000
Training Epoch: 28 [2560/47500]	Loss: 0.4457	LR: 0.020000
Training Epoch: 28 [2816/47500]	Loss: 0.4354	LR: 0.020000
Training Epoch: 28 [3072/47500]	Loss: 0.4413	LR: 0.020000
Training Epoch: 28 [3328/47500]	Loss: 0.4604	LR: 0.020000
Training Epoch: 28 [3584/47500]	Loss: 0.5130	LR: 0.020000
Training Epoch: 28 [3840/47500]	Loss: 0.5284	LR: 0.020000
Training Epoch: 28 [4096/47500]	Loss: 0.4451	LR: 0.020000
Training Epoch: 28 [4352/47500]	Loss: 0.5086	LR: 0.020000
Training Epoch: 28 [4608/47500]	Loss: 0.4668	LR: 0.020000
Training Epoch: 28 [4864/47500]	Loss: 0.4117	LR: 0.020000
Training Epoch: 28 [5120/47500]	Loss: 0.4213	LR: 0.020000
Training Epoch: 28 [5376/47500]	Loss: 0.4691	LR: 0.020000
Training Epoch: 28 [5632/47500]	Loss: 0.4375	LR: 0.020000
Training Epoch: 28 [5888/47500]	Loss: 0.4246	LR: 0.020000
Training Epoch: 28 [6144/47500]	Loss: 0.4384	LR: 0.020000
Training Epoch: 28 [6400/47500]	Loss: 0.5125	LR: 0.020000
Training Epoch: 28 [6656/47500]	Loss: 0.4132	LR: 0.020000
Training Epoch: 28 [6912/47500]	Loss: 0.3800	LR: 0.020000
Training Epoch: 28 [7168/47500]	Loss: 0.4472	LR: 0.020000
Training Epoch: 28 [7424/47500]	Loss: 0.5350	LR: 0.020000
Training Epoch: 28 [7680/47500]	Loss: 0.5428	LR: 0.020000
Training Epoch: 28 [7936/47500]	Loss: 0.5622	LR: 0.020000
Training Epoch: 28 [8192/47500]	Loss: 0.5393	LR: 0.020000
Training Epoch: 28 [8448/47500]	Loss: 0.4758	LR: 0.020000
Training Epoch: 28 [8704/47500]	Loss: 0.4188	LR: 0.020000
Training Epoch: 28 [8960/47500]	Loss: 0.5077	LR: 0.020000
Training Epoch: 28 [9216/47500]	Loss: 0.4343	LR: 0.020000
Training Epoch: 28 [9472/47500]	Loss: 0.5028	LR: 0.020000
Training Epoch: 28 [9728/47500]	Loss: 0.4464	LR: 0.020000
Training Epoch: 28 [9984/47500]	Loss: 0.6598	LR: 0.020000
Training Epoch: 28 [10240/47500]	Loss: 0.5367	LR: 0.020000
Training Epoch: 28 [10496/47500]	Loss: 0.4679	LR: 0.020000
Training Epoch: 28 [10752/47500]	Loss: 0.5750	LR: 0.020000
Training Epoch: 28 [11008/47500]	Loss: 0.4879	LR: 0.020000
Training Epoch: 28 [11264/47500]	Loss: 0.3936	LR: 0.020000
Training Epoch: 28 [11520/47500]	Loss: 0.4351	LR: 0.020000
Training Epoch: 28 [11776/47500]	Loss: 0.5510	LR: 0.020000
Training Epoch: 28 [12032/47500]	Loss: 0.5243	LR: 0.020000
Training Epoch: 28 [12288/47500]	Loss: 0.4956	LR: 0.020000
Training Epoch: 28 [12544/47500]	Loss: 0.5496	LR: 0.020000
Training Epoch: 28 [12800/47500]	Loss: 0.4652	LR: 0.020000
Training Epoch: 28 [13056/47500]	Loss: 0.4513	LR: 0.020000
Training Epoch: 28 [13312/47500]	Loss: 0.4591	LR: 0.020000
Training Epoch: 28 [13568/47500]	Loss: 0.5288	LR: 0.020000
Training Epoch: 28 [13824/47500]	Loss: 0.5294	LR: 0.020000
Training Epoch: 28 [14080/47500]	Loss: 0.4698	LR: 0.020000
Training Epoch: 28 [14336/47500]	Loss: 0.5228	LR: 0.020000
Training Epoch: 28 [14592/47500]	Loss: 0.6052	LR: 0.020000
Training Epoch: 28 [14848/47500]	Loss: 0.4787	LR: 0.020000
Training Epoch: 28 [15104/47500]	Loss: 0.5738	LR: 0.020000
Training Epoch: 28 [15360/47500]	Loss: 0.5455	LR: 0.020000
Training Epoch: 28 [15616/47500]	Loss: 0.5155	LR: 0.020000
Training Epoch: 28 [15872/47500]	Loss: 0.5518	LR: 0.020000
Training Epoch: 28 [16128/47500]	Loss: 0.4867	LR: 0.020000
Training Epoch: 28 [16384/47500]	Loss: 0.5043	LR: 0.020000
Training Epoch: 28 [16640/47500]	Loss: 0.5324	LR: 0.020000
Training Epoch: 28 [16896/47500]	Loss: 0.4722	LR: 0.020000
Training Epoch: 28 [17152/47500]	Loss: 0.5595	LR: 0.020000
Training Epoch: 28 [17408/47500]	Loss: 0.5232	LR: 0.020000
Training Epoch: 28 [17664/47500]	Loss: 0.4769	LR: 0.020000
Training Epoch: 28 [17920/47500]	Loss: 0.5523	LR: 0.020000
Training Epoch: 28 [18176/47500]	Loss: 0.4522	LR: 0.020000
Training Epoch: 28 [18432/47500]	Loss: 0.4076	LR: 0.020000
Training Epoch: 28 [18688/47500]	Loss: 0.5228	LR: 0.020000
Training Epoch: 28 [18944/47500]	Loss: 0.4928	LR: 0.020000
Training Epoch: 28 [19200/47500]	Loss: 0.5529	LR: 0.020000
Training Epoch: 28 [19456/47500]	Loss: 0.5334	LR: 0.020000
Training Epoch: 28 [19712/47500]	Loss: 0.5098	LR: 0.020000
Training Epoch: 28 [19968/47500]	Loss: 0.4851	LR: 0.020000
Training Epoch: 28 [20224/47500]	Loss: 0.4271	LR: 0.020000
Training Epoch: 28 [20480/47500]	Loss: 0.4923	LR: 0.020000
Training Epoch: 28 [20736/47500]	Loss: 0.5167	LR: 0.020000
Training Epoch: 28 [20992/47500]	Loss: 0.5666	LR: 0.020000
Training Epoch: 28 [21248/47500]	Loss: 0.4616	LR: 0.020000
Training Epoch: 28 [21504/47500]	Loss: 0.4927	LR: 0.020000
Training Epoch: 28 [21760/47500]	Loss: 0.6343	LR: 0.020000
Training Epoch: 28 [22016/47500]	Loss: 0.5107	LR: 0.020000
Training Epoch: 28 [22272/47500]	Loss: 0.5435	LR: 0.020000
Training Epoch: 28 [22528/47500]	Loss: 0.4853	LR: 0.020000
Training Epoch: 28 [22784/47500]	Loss: 0.4944	LR: 0.020000
Training Epoch: 28 [23040/47500]	Loss: 0.5347	LR: 0.020000
Training Epoch: 28 [23296/47500]	Loss: 0.4682	LR: 0.020000
Training Epoch: 28 [23552/47500]	Loss: 0.5601	LR: 0.020000
Training Epoch: 28 [23808/47500]	Loss: 0.4952	LR: 0.020000
Training Epoch: 28 [24064/47500]	Loss: 0.5552	LR: 0.020000
Training Epoch: 28 [24320/47500]	Loss: 0.4370	LR: 0.020000
Training Epoch: 28 [24576/47500]	Loss: 0.5120	LR: 0.020000
Training Epoch: 28 [24832/47500]	Loss: 0.4783	LR: 0.020000
Training Epoch: 28 [25088/47500]	Loss: 0.5360	LR: 0.020000
Training Epoch: 28 [25344/47500]	Loss: 0.5178	LR: 0.020000
Training Epoch: 28 [25600/47500]	Loss: 0.4818	LR: 0.020000
Training Epoch: 28 [25856/47500]	Loss: 0.6522	LR: 0.020000
Training Epoch: 28 [26112/47500]	Loss: 0.5523	LR: 0.020000
Training Epoch: 28 [26368/47500]	Loss: 0.6416	LR: 0.020000
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Training Epoch: 28 [27392/47500]	Loss: 0.5259	LR: 0.020000
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Training Epoch: 28 [28160/47500]	Loss: 0.5264	LR: 0.020000
Training Epoch: 28 [28416/47500]	Loss: 0.4051	LR: 0.020000
Training Epoch: 28 [28672/47500]	Loss: 0.5419	LR: 0.020000
Training Epoch: 28 [28928/47500]	Loss: 0.5040	LR: 0.020000
Training Epoch: 28 [29184/47500]	Loss: 0.4780	LR: 0.020000
Training Epoch: 28 [29440/47500]	Loss: 0.6353	LR: 0.020000
Training Epoch: 28 [29696/47500]	Loss: 0.5589	LR: 0.020000
Training Epoch: 28 [29952/47500]	Loss: 0.4199	LR: 0.020000
Training Epoch: 28 [30208/47500]	Loss: 0.5773	LR: 0.020000
Training Epoch: 28 [30464/47500]	Loss: 0.6090	LR: 0.020000
Training Epoch: 28 [30720/47500]	Loss: 0.5331	LR: 0.020000
Training Epoch: 28 [30976/47500]	Loss: 0.5683	LR: 0.020000
Training Epoch: 28 [31232/47500]	Loss: 0.4976	LR: 0.020000
Training Epoch: 28 [31488/47500]	Loss: 0.5213	LR: 0.020000
Training Epoch: 28 [31744/47500]	Loss: 0.5469	LR: 0.020000
Training Epoch: 28 [32000/47500]	Loss: 0.5309	LR: 0.020000
Training Epoch: 28 [32256/47500]	Loss: 0.5427	LR: 0.020000
Training Epoch: 28 [32512/47500]	Loss: 0.5511	LR: 0.020000
Training Epoch: 28 [32768/47500]	Loss: 0.4576	LR: 0.020000
Training Epoch: 28 [33024/47500]	Loss: 0.5187	LR: 0.020000
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Training Epoch: 28 [35584/47500]	Loss: 0.4513	LR: 0.020000
Training Epoch: 28 [35840/47500]	Loss: 0.5487	LR: 0.020000
Training Epoch: 28 [36096/47500]	Loss: 0.5693	LR: 0.020000
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Training Epoch: 28 [37120/47500]	Loss: 0.5839	LR: 0.020000
Training Epoch: 28 [37376/47500]	Loss: 0.4874	LR: 0.020000
Training Epoch: 28 [37632/47500]	Loss: 0.5443	LR: 0.020000
Training Epoch: 28 [37888/47500]	Loss: 0.5247	LR: 0.020000
Training Epoch: 28 [38144/47500]	Loss: 0.5238	LR: 0.020000
Training Epoch: 28 [38400/47500]	Loss: 0.6104	LR: 0.020000
Training Epoch: 28 [38656/47500]	Loss: 0.5222	LR: 0.020000
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Training Epoch: 28 [39168/47500]	Loss: 0.5490	LR: 0.020000
Training Epoch: 28 [39424/47500]	Loss: 0.6415	LR: 0.020000
Training Epoch: 28 [39680/47500]	Loss: 0.5026	LR: 0.020000
Training Epoch: 28 [39936/47500]	Loss: 0.5606	LR: 0.020000
Training Epoch: 28 [40192/47500]	Loss: 0.5779	LR: 0.020000
Training Epoch: 28 [40448/47500]	Loss: 0.5614	LR: 0.020000
Training Epoch: 28 [40704/47500]	Loss: 0.6278	LR: 0.020000
Training Epoch: 28 [40960/47500]	Loss: 0.4447	LR: 0.020000
Training Epoch: 28 [41216/47500]	Loss: 0.5275	LR: 0.020000
Training Epoch: 28 [41472/47500]	Loss: 0.5914	LR: 0.020000
Training Epoch: 28 [41728/47500]	Loss: 0.5356	LR: 0.020000
Training Epoch: 28 [41984/47500]	Loss: 0.4327	LR: 0.020000
Training Epoch: 28 [42240/47500]	Loss: 0.5229	LR: 0.020000
Training Epoch: 28 [42496/47500]	Loss: 0.5575	LR: 0.020000
Training Epoch: 28 [42752/47500]	Loss: 0.6522	LR: 0.020000
Training Epoch: 28 [43008/47500]	Loss: 0.5183	LR: 0.020000
Training Epoch: 28 [43264/47500]	Loss: 0.4248	LR: 0.020000
Training Epoch: 28 [43520/47500]	Loss: 0.4824	LR: 0.020000
Training Epoch: 28 [43776/47500]	Loss: 0.5771	LR: 0.020000
Training Epoch: 28 [44032/47500]	Loss: 0.6154	LR: 0.020000
Training Epoch: 28 [44288/47500]	Loss: 0.4949	LR: 0.020000
Training Epoch: 28 [44544/47500]	Loss: 0.4232	LR: 0.020000
Training Epoch: 28 [44800/47500]	Loss: 0.5172	LR: 0.020000
Training Epoch: 28 [45056/47500]	Loss: 0.5559	LR: 0.020000
Training Epoch: 28 [45312/47500]	Loss: 0.5773	LR: 0.020000
Training Epoch: 28 [45568/47500]	Loss: 0.5161	LR: 0.020000
Training Epoch: 28 [45824/47500]	Loss: 0.4509	LR: 0.020000
Training Epoch: 28 [46080/47500]	Loss: 0.5665	LR: 0.020000
Training Epoch: 28 [46336/47500]	Loss: 0.6456	LR: 0.020000
Training Epoch: 28 [46592/47500]	Loss: 0.5346	LR: 0.020000
Training Epoch: 28 [46848/47500]	Loss: 0.6142	LR: 0.020000
Training Epoch: 28 [47104/47500]	Loss: 0.6149	LR: 0.020000
Training Epoch: 28 [47360/47500]	Loss: 0.4779	LR: 0.020000
Training Epoch: 28 [47500/47500]	Loss: 0.4822	LR: 0.020000
Epoch 28 - Average Train Loss: 0.5160, Train Accuracy: 0.8338
Epoch 28 training time consumed: 25.53s
Evaluating Network.....
Test set: Epoch: 28, Average loss: 0.0038, Accuracy: 0.7264, Time consumed:0.86s
Training Epoch: 29 [256/47500]	Loss: 0.5240	LR: 0.020000
Training Epoch: 29 [512/47500]	Loss: 0.4715	LR: 0.020000
Training Epoch: 29 [768/47500]	Loss: 0.4690	LR: 0.020000
Training Epoch: 29 [1024/47500]	Loss: 0.3990	LR: 0.020000
Training Epoch: 29 [1280/47500]	Loss: 0.5820	LR: 0.020000
Training Epoch: 29 [1536/47500]	Loss: 0.5099	LR: 0.020000
Training Epoch: 29 [1792/47500]	Loss: 0.5280	LR: 0.020000
Training Epoch: 29 [2048/47500]	Loss: 0.4629	LR: 0.020000
Training Epoch: 29 [2304/47500]	Loss: 0.5084	LR: 0.020000
Training Epoch: 29 [2560/47500]	Loss: 0.6006	LR: 0.020000
Training Epoch: 29 [2816/47500]	Loss: 0.4892	LR: 0.020000
Training Epoch: 29 [3072/47500]	Loss: 0.4636	LR: 0.020000
Training Epoch: 29 [3328/47500]	Loss: 0.4558	LR: 0.020000
Training Epoch: 29 [3584/47500]	Loss: 0.4395	LR: 0.020000
Training Epoch: 29 [3840/47500]	Loss: 0.5050	LR: 0.020000
Training Epoch: 29 [4096/47500]	Loss: 0.4690	LR: 0.020000
Training Epoch: 29 [4352/47500]	Loss: 0.4362	LR: 0.020000
Training Epoch: 29 [4608/47500]	Loss: 0.4359	LR: 0.020000
Training Epoch: 29 [4864/47500]	Loss: 0.5130	LR: 0.020000
Training Epoch: 29 [5120/47500]	Loss: 0.4831	LR: 0.020000
Training Epoch: 29 [5376/47500]	Loss: 0.4325	LR: 0.020000
Training Epoch: 29 [5632/47500]	Loss: 0.5398	LR: 0.020000
Training Epoch: 29 [5888/47500]	Loss: 0.4460	LR: 0.020000
Training Epoch: 29 [6144/47500]	Loss: 0.4826	LR: 0.020000
Training Epoch: 29 [6400/47500]	Loss: 0.4220	LR: 0.020000
Training Epoch: 29 [6656/47500]	Loss: 0.4782	LR: 0.020000
Training Epoch: 29 [6912/47500]	Loss: 0.3718	LR: 0.020000
Training Epoch: 29 [7168/47500]	Loss: 0.4827	LR: 0.020000
Training Epoch: 29 [7424/47500]	Loss: 0.4697	LR: 0.020000
Training Epoch: 29 [7680/47500]	Loss: 0.4588	LR: 0.020000
Training Epoch: 29 [7936/47500]	Loss: 0.4668	LR: 0.020000
Training Epoch: 29 [8192/47500]	Loss: 0.5319	LR: 0.020000
Training Epoch: 29 [8448/47500]	Loss: 0.7344	LR: 0.020000
Training Epoch: 29 [8704/47500]	Loss: 0.4283	LR: 0.020000
Training Epoch: 29 [8960/47500]	Loss: 0.3891	LR: 0.020000
Training Epoch: 29 [9216/47500]	Loss: 0.4521	LR: 0.020000
Training Epoch: 29 [9472/47500]	Loss: 0.5679	LR: 0.020000
Training Epoch: 29 [9728/47500]	Loss: 0.5312	LR: 0.020000
Training Epoch: 29 [9984/47500]	Loss: 0.5085	LR: 0.020000
Training Epoch: 29 [10240/47500]	Loss: 0.5294	LR: 0.020000
Training Epoch: 29 [10496/47500]	Loss: 0.4717	LR: 0.020000
Training Epoch: 29 [10752/47500]	Loss: 0.4250	LR: 0.020000
Training Epoch: 29 [11008/47500]	Loss: 0.4424	LR: 0.020000
Training Epoch: 29 [11264/47500]	Loss: 0.5134	LR: 0.020000
Training Epoch: 29 [11520/47500]	Loss: 0.4439	LR: 0.020000
Training Epoch: 29 [11776/47500]	Loss: 0.4708	LR: 0.020000
Training Epoch: 29 [12032/47500]	Loss: 0.5286	LR: 0.020000
Training Epoch: 29 [12288/47500]	Loss: 0.4928	LR: 0.020000
Training Epoch: 29 [12544/47500]	Loss: 0.5512	LR: 0.020000
Training Epoch: 29 [12800/47500]	Loss: 0.5772	LR: 0.020000
Training Epoch: 29 [13056/47500]	Loss: 0.4824	LR: 0.020000
Training Epoch: 29 [13312/47500]	Loss: 0.5992	LR: 0.020000
Training Epoch: 29 [13568/47500]	Loss: 0.4342	LR: 0.020000
Training Epoch: 29 [13824/47500]	Loss: 0.5241	LR: 0.020000
Training Epoch: 29 [14080/47500]	Loss: 0.5189	LR: 0.020000
Training Epoch: 29 [14336/47500]	Loss: 0.5208	LR: 0.020000
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Training Epoch: 29 [15104/47500]	Loss: 0.4785	LR: 0.020000
Training Epoch: 29 [15360/47500]	Loss: 0.5373	LR: 0.020000
Training Epoch: 29 [15616/47500]	Loss: 0.4602	LR: 0.020000
Training Epoch: 29 [15872/47500]	Loss: 0.5329	LR: 0.020000
Training Epoch: 29 [16128/47500]	Loss: 0.4844	LR: 0.020000
Training Epoch: 29 [16384/47500]	Loss: 0.5383	LR: 0.020000
Training Epoch: 29 [16640/47500]	Loss: 0.4904	LR: 0.020000
Training Epoch: 29 [16896/47500]	Loss: 0.4673	LR: 0.020000
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Training Epoch: 29 [17408/47500]	Loss: 0.5189	LR: 0.020000
Training Epoch: 29 [17664/47500]	Loss: 0.5081	LR: 0.020000
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Training Epoch: 29 [18176/47500]	Loss: 0.5559	LR: 0.020000
Training Epoch: 29 [18432/47500]	Loss: 0.3898	LR: 0.020000
Training Epoch: 29 [18688/47500]	Loss: 0.4676	LR: 0.020000
Training Epoch: 29 [18944/47500]	Loss: 0.4891	LR: 0.020000
Training Epoch: 29 [19200/47500]	Loss: 0.4399	LR: 0.020000
Training Epoch: 29 [19456/47500]	Loss: 0.5063	LR: 0.020000
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Training Epoch: 29 [19968/47500]	Loss: 0.5019	LR: 0.020000
Training Epoch: 29 [20224/47500]	Loss: 0.5627	LR: 0.020000
Training Epoch: 29 [20480/47500]	Loss: 0.5432	LR: 0.020000
Training Epoch: 29 [20736/47500]	Loss: 0.4210	LR: 0.020000
Training Epoch: 29 [20992/47500]	Loss: 0.5597	LR: 0.020000
Training Epoch: 29 [21248/47500]	Loss: 0.4902	LR: 0.020000
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Training Epoch: 29 [21760/47500]	Loss: 0.6275	LR: 0.020000
Training Epoch: 29 [22016/47500]	Loss: 0.5802	LR: 0.020000
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Training Epoch: 29 [22528/47500]	Loss: 0.5093	LR: 0.020000
Training Epoch: 29 [22784/47500]	Loss: 0.4253	LR: 0.020000
Training Epoch: 29 [23040/47500]	Loss: 0.4597	LR: 0.020000
Training Epoch: 29 [23296/47500]	Loss: 0.4378	LR: 0.020000
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Training Epoch: 29 [24576/47500]	Loss: 0.5375	LR: 0.020000
Training Epoch: 29 [24832/47500]	Loss: 0.5411	LR: 0.020000
Training Epoch: 29 [25088/47500]	Loss: 0.5871	LR: 0.020000
Training Epoch: 29 [25344/47500]	Loss: 0.5509	LR: 0.020000
Training Epoch: 29 [25600/47500]	Loss: 0.3995	LR: 0.020000
Training Epoch: 29 [25856/47500]	Loss: 0.4843	LR: 0.020000
Training Epoch: 29 [26112/47500]	Loss: 0.6153	LR: 0.020000
Training Epoch: 29 [26368/47500]	Loss: 0.5312	LR: 0.020000
Training Epoch: 29 [26624/47500]	Loss: 0.5913	LR: 0.020000
Training Epoch: 29 [26880/47500]	Loss: 0.4911	LR: 0.020000
Training Epoch: 29 [27136/47500]	Loss: 0.4640	LR: 0.020000
Training Epoch: 29 [27392/47500]	Loss: 0.5428	LR: 0.020000
Training Epoch: 29 [27648/47500]	Loss: 0.5032	LR: 0.020000
Training Epoch: 29 [27904/47500]	Loss: 0.6297	LR: 0.020000
Training Epoch: 29 [28160/47500]	Loss: 0.4573	LR: 0.020000
Training Epoch: 29 [28416/47500]	Loss: 0.5827	LR: 0.020000
Training Epoch: 29 [28672/47500]	Loss: 0.4746	LR: 0.020000
Training Epoch: 29 [28928/47500]	Loss: 0.4353	LR: 0.020000
Training Epoch: 29 [29184/47500]	Loss: 0.4154	LR: 0.020000
Training Epoch: 29 [29440/47500]	Loss: 0.5321	LR: 0.020000
Training Epoch: 29 [29696/47500]	Loss: 0.4866	LR: 0.020000
Training Epoch: 29 [29952/47500]	Loss: 0.4578	LR: 0.020000
Training Epoch: 29 [30208/47500]	Loss: 0.5584	LR: 0.020000
Training Epoch: 29 [30464/47500]	Loss: 0.6954	LR: 0.020000
Training Epoch: 29 [30720/47500]	Loss: 0.5472	LR: 0.020000
Training Epoch: 29 [30976/47500]	Loss: 0.4818	LR: 0.020000
Training Epoch: 29 [31232/47500]	Loss: 0.5323	LR: 0.020000
Training Epoch: 29 [31488/47500]	Loss: 0.6625	LR: 0.020000
Training Epoch: 29 [31744/47500]	Loss: 0.4872	LR: 0.020000
Training Epoch: 29 [32000/47500]	Loss: 0.5401	LR: 0.020000
Training Epoch: 29 [32256/47500]	Loss: 0.4709	LR: 0.020000
Training Epoch: 29 [32512/47500]	Loss: 0.5184	LR: 0.020000
Training Epoch: 29 [32768/47500]	Loss: 0.5155	LR: 0.020000
Training Epoch: 29 [33024/47500]	Loss: 0.5442	LR: 0.020000
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Training Epoch: 29 [33792/47500]	Loss: 0.5019	LR: 0.020000
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Training Epoch: 29 [34560/47500]	Loss: 0.5499	LR: 0.020000
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Training Epoch: 29 [35328/47500]	Loss: 0.5303	LR: 0.020000
Training Epoch: 29 [35584/47500]	Loss: 0.5537	LR: 0.020000
Training Epoch: 29 [35840/47500]	Loss: 0.5649	LR: 0.020000
Training Epoch: 29 [36096/47500]	Loss: 0.5752	LR: 0.020000
Training Epoch: 29 [36352/47500]	Loss: 0.5733	LR: 0.020000
Training Epoch: 29 [36608/47500]	Loss: 0.4622	LR: 0.020000
Training Epoch: 29 [36864/47500]	Loss: 0.5043	LR: 0.020000
Training Epoch: 29 [37120/47500]	Loss: 0.5926	LR: 0.020000
Training Epoch: 29 [37376/47500]	Loss: 0.5077	LR: 0.020000
Training Epoch: 29 [37632/47500]	Loss: 0.5198	LR: 0.020000
Training Epoch: 29 [37888/47500]	Loss: 0.6028	LR: 0.020000
Training Epoch: 29 [38144/47500]	Loss: 0.5391	LR: 0.020000
Training Epoch: 29 [38400/47500]	Loss: 0.4959	LR: 0.020000
Training Epoch: 29 [38656/47500]	Loss: 0.4720	LR: 0.020000
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Training Epoch: 29 [39168/47500]	Loss: 0.6546	LR: 0.020000
Training Epoch: 29 [39424/47500]	Loss: 0.6046	LR: 0.020000
Training Epoch: 29 [39680/47500]	Loss: 0.5443	LR: 0.020000
Training Epoch: 29 [39936/47500]	Loss: 0.4769	LR: 0.020000
Training Epoch: 29 [40192/47500]	Loss: 0.6639	LR: 0.020000
Training Epoch: 29 [40448/47500]	Loss: 0.5996	LR: 0.020000
Training Epoch: 29 [40704/47500]	Loss: 0.5328	LR: 0.020000
Training Epoch: 29 [40960/47500]	Loss: 0.5241	LR: 0.020000
Training Epoch: 29 [41216/47500]	Loss: 0.4491	LR: 0.020000
Training Epoch: 29 [41472/47500]	Loss: 0.5460	LR: 0.020000
Training Epoch: 29 [41728/47500]	Loss: 0.4902	LR: 0.020000
Training Epoch: 29 [41984/47500]	Loss: 0.4532	LR: 0.020000
Training Epoch: 29 [42240/47500]	Loss: 0.5686	LR: 0.020000
Training Epoch: 29 [42496/47500]	Loss: 0.5527	LR: 0.020000
Training Epoch: 29 [42752/47500]	Loss: 0.6000	LR: 0.020000
Training Epoch: 29 [43008/47500]	Loss: 0.5529	LR: 0.020000
Training Epoch: 29 [43264/47500]	Loss: 0.5604	LR: 0.020000
Training Epoch: 29 [43520/47500]	Loss: 0.6093	LR: 0.020000
Training Epoch: 29 [43776/47500]	Loss: 0.5261	LR: 0.020000
Training Epoch: 29 [44032/47500]	Loss: 0.4881	LR: 0.020000
Training Epoch: 29 [44288/47500]	Loss: 0.5755	LR: 0.020000
Training Epoch: 29 [44544/47500]	Loss: 0.5255	LR: 0.020000
Training Epoch: 29 [44800/47500]	Loss: 0.5258	LR: 0.020000
Training Epoch: 29 [45056/47500]	Loss: 0.5638	LR: 0.020000
Training Epoch: 29 [45312/47500]	Loss: 0.5743	LR: 0.020000
Training Epoch: 29 [45568/47500]	Loss: 0.4763	LR: 0.020000
Training Epoch: 29 [45824/47500]	Loss: 0.5941	LR: 0.020000
Training Epoch: 29 [46080/47500]	Loss: 0.5372	LR: 0.020000
Training Epoch: 29 [46336/47500]	Loss: 0.4885	LR: 0.020000
Training Epoch: 29 [46592/47500]	Loss: 0.4171	LR: 0.020000
Training Epoch: 29 [46848/47500]	Loss: 0.5934	LR: 0.020000
Training Epoch: 29 [47104/47500]	Loss: 0.5048	LR: 0.020000
Training Epoch: 29 [47360/47500]	Loss: 0.4839	LR: 0.020000
Training Epoch: 29 [47500/47500]	Loss: 0.5235	LR: 0.020000
Epoch 29 - Average Train Loss: 0.5134, Train Accuracy: 0.8335
Epoch 29 training time consumed: 25.37s
Evaluating Network.....
Test set: Epoch: 29, Average loss: 0.0038, Accuracy: 0.7276, Time consumed:0.86s
Training Epoch: 30 [256/47500]	Loss: 0.4251	LR: 0.004000
Training Epoch: 30 [512/47500]	Loss: 0.5157	LR: 0.004000
Training Epoch: 30 [768/47500]	Loss: 0.5132	LR: 0.004000
Training Epoch: 30 [1024/47500]	Loss: 0.3592	LR: 0.004000
Training Epoch: 30 [1280/47500]	Loss: 0.5619	LR: 0.004000
Training Epoch: 30 [1536/47500]	Loss: 0.4903	LR: 0.004000
Training Epoch: 30 [1792/47500]	Loss: 0.4689	LR: 0.004000
Training Epoch: 30 [2048/47500]	Loss: 0.4413	LR: 0.004000
Training Epoch: 30 [2304/47500]	Loss: 0.3724	LR: 0.004000
Training Epoch: 30 [2560/47500]	Loss: 0.5131	LR: 0.004000
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Training Epoch: 30 [47500/47500]	Loss: 0.4714	LR: 0.004000
Epoch 30 - Average Train Loss: 0.3953, Train Accuracy: 0.8758
Epoch 30 training time consumed: 25.66s
Evaluating Network.....
Test set: Epoch: 30, Average loss: 0.0030, Accuracy: 0.7787, Time consumed:0.86s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_23h_09m_43s/AllCNN-Cifar20-seed8-ret50-30-best.pth
Training Epoch: 31 [256/47500]	Loss: 0.3315	LR: 0.004000
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Training Epoch: 31 [47360/47500]	Loss: 0.3239	LR: 0.004000
Training Epoch: 31 [47500/47500]	Loss: 0.2819	LR: 0.004000
Epoch 31 - Average Train Loss: 0.3597, Train Accuracy: 0.8892
Epoch 31 training time consumed: 25.45s
Evaluating Network.....
Test set: Epoch: 31, Average loss: 0.0029, Accuracy: 0.7801, Time consumed:0.85s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_23h_09m_43s/AllCNN-Cifar20-seed8-ret50-31-best.pth
Training Epoch: 32 [256/47500]	Loss: 0.2691	LR: 0.004000
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Training Epoch: 32 [47500/47500]	Loss: 0.4689	LR: 0.004000
Epoch 32 - Average Train Loss: 0.3421, Train Accuracy: 0.8962
Epoch 32 training time consumed: 25.60s
Evaluating Network.....
Test set: Epoch: 32, Average loss: 0.0029, Accuracy: 0.7829, Time consumed:0.95s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_23h_09m_43s/AllCNN-Cifar20-seed8-ret50-32-best.pth
Training Epoch: 33 [256/47500]	Loss: 0.3275	LR: 0.004000
Training Epoch: 33 [512/47500]	Loss: 0.3150	LR: 0.004000
Training Epoch: 33 [768/47500]	Loss: 0.3477	LR: 0.004000
Training Epoch: 33 [1024/47500]	Loss: 0.2828	LR: 0.004000
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Training Epoch: 33 [4608/47500]	Loss: 0.3306	LR: 0.004000
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Training Epoch: 33 [5120/47500]	Loss: 0.3122	LR: 0.004000
Training Epoch: 33 [5376/47500]	Loss: 0.3397	LR: 0.004000
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Training Epoch: 33 [6144/47500]	Loss: 0.3209	LR: 0.004000
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Training Epoch: 33 [6656/47500]	Loss: 0.3553	LR: 0.004000
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Training Epoch: 33 [7168/47500]	Loss: 0.3119	LR: 0.004000
Training Epoch: 33 [7424/47500]	Loss: 0.3350	LR: 0.004000
Training Epoch: 33 [7680/47500]	Loss: 0.2591	LR: 0.004000
Training Epoch: 33 [7936/47500]	Loss: 0.3695	LR: 0.004000
Training Epoch: 33 [8192/47500]	Loss: 0.2640	LR: 0.004000
Training Epoch: 33 [8448/47500]	Loss: 0.4053	LR: 0.004000
Training Epoch: 33 [8704/47500]	Loss: 0.3142	LR: 0.004000
Training Epoch: 33 [8960/47500]	Loss: 0.3250	LR: 0.004000
Training Epoch: 33 [9216/47500]	Loss: 0.2646	LR: 0.004000
Training Epoch: 33 [9472/47500]	Loss: 0.3346	LR: 0.004000
Training Epoch: 33 [9728/47500]	Loss: 0.3845	LR: 0.004000
Training Epoch: 33 [9984/47500]	Loss: 0.2833	LR: 0.004000
Training Epoch: 33 [10240/47500]	Loss: 0.3850	LR: 0.004000
Training Epoch: 33 [10496/47500]	Loss: 0.2193	LR: 0.004000
Training Epoch: 33 [10752/47500]	Loss: 0.3691	LR: 0.004000
Training Epoch: 33 [11008/47500]	Loss: 0.2863	LR: 0.004000
Training Epoch: 33 [11264/47500]	Loss: 0.2878	LR: 0.004000
Training Epoch: 33 [11520/47500]	Loss: 0.3564	LR: 0.004000
Training Epoch: 33 [11776/47500]	Loss: 0.2998	LR: 0.004000
Training Epoch: 33 [12032/47500]	Loss: 0.3363	LR: 0.004000
Training Epoch: 33 [12288/47500]	Loss: 0.2846	LR: 0.004000
Training Epoch: 33 [12544/47500]	Loss: 0.2954	LR: 0.004000
Training Epoch: 33 [12800/47500]	Loss: 0.3461	LR: 0.004000
Training Epoch: 33 [13056/47500]	Loss: 0.2907	LR: 0.004000
Training Epoch: 33 [13312/47500]	Loss: 0.3170	LR: 0.004000
Training Epoch: 33 [13568/47500]	Loss: 0.4035	LR: 0.004000
Training Epoch: 33 [13824/47500]	Loss: 0.3780	LR: 0.004000
Training Epoch: 33 [14080/47500]	Loss: 0.3385	LR: 0.004000
Training Epoch: 33 [14336/47500]	Loss: 0.3007	LR: 0.004000
Training Epoch: 33 [14592/47500]	Loss: 0.3598	LR: 0.004000
Training Epoch: 33 [14848/47500]	Loss: 0.3449	LR: 0.004000
Training Epoch: 33 [15104/47500]	Loss: 0.3122	LR: 0.004000
Training Epoch: 33 [15360/47500]	Loss: 0.3283	LR: 0.004000
Training Epoch: 33 [15616/47500]	Loss: 0.2920	LR: 0.004000
Training Epoch: 33 [15872/47500]	Loss: 0.3427	LR: 0.004000
Training Epoch: 33 [16128/47500]	Loss: 0.3565	LR: 0.004000
Training Epoch: 33 [16384/47500]	Loss: 0.4065	LR: 0.004000
Training Epoch: 33 [16640/47500]	Loss: 0.3665	LR: 0.004000
Training Epoch: 33 [16896/47500]	Loss: 0.3450	LR: 0.004000
Training Epoch: 33 [17152/47500]	Loss: 0.3626	LR: 0.004000
Training Epoch: 33 [17408/47500]	Loss: 0.3282	LR: 0.004000
Training Epoch: 33 [17664/47500]	Loss: 0.3525	LR: 0.004000
Training Epoch: 33 [17920/47500]	Loss: 0.3121	LR: 0.004000
Training Epoch: 33 [18176/47500]	Loss: 0.3644	LR: 0.004000
Training Epoch: 33 [18432/47500]	Loss: 0.3416	LR: 0.004000
Training Epoch: 33 [18688/47500]	Loss: 0.3449	LR: 0.004000
Training Epoch: 33 [18944/47500]	Loss: 0.3135	LR: 0.004000
Training Epoch: 33 [19200/47500]	Loss: 0.3555	LR: 0.004000
Training Epoch: 33 [19456/47500]	Loss: 0.3525	LR: 0.004000
Training Epoch: 33 [19712/47500]	Loss: 0.3625	LR: 0.004000
Training Epoch: 33 [19968/47500]	Loss: 0.3240	LR: 0.004000
Training Epoch: 33 [20224/47500]	Loss: 0.2924	LR: 0.004000
Training Epoch: 33 [20480/47500]	Loss: 0.3139	LR: 0.004000
Training Epoch: 33 [20736/47500]	Loss: 0.3559	LR: 0.004000
Training Epoch: 33 [20992/47500]	Loss: 0.3857	LR: 0.004000
Training Epoch: 33 [21248/47500]	Loss: 0.3251	LR: 0.004000
Training Epoch: 33 [21504/47500]	Loss: 0.2768	LR: 0.004000
Training Epoch: 33 [21760/47500]	Loss: 0.2958	LR: 0.004000
Training Epoch: 33 [22016/47500]	Loss: 0.3133	LR: 0.004000
Training Epoch: 33 [22272/47500]	Loss: 0.2784	LR: 0.004000
Training Epoch: 33 [22528/47500]	Loss: 0.3084	LR: 0.004000
Training Epoch: 33 [22784/47500]	Loss: 0.3328	LR: 0.004000
Training Epoch: 33 [23040/47500]	Loss: 0.3724	LR: 0.004000
Training Epoch: 33 [23296/47500]	Loss: 0.4031	LR: 0.004000
Training Epoch: 33 [23552/47500]	Loss: 0.3875	LR: 0.004000
Training Epoch: 33 [23808/47500]	Loss: 0.2747	LR: 0.004000
Training Epoch: 33 [24064/47500]	Loss: 0.4297	LR: 0.004000
Training Epoch: 33 [24320/47500]	Loss: 0.3698	LR: 0.004000
Training Epoch: 33 [24576/47500]	Loss: 0.3088	LR: 0.004000
Training Epoch: 33 [24832/47500]	Loss: 0.3310	LR: 0.004000
Training Epoch: 33 [25088/47500]	Loss: 0.3865	LR: 0.004000
Training Epoch: 33 [25344/47500]	Loss: 0.3801	LR: 0.004000
Training Epoch: 33 [25600/47500]	Loss: 0.2833	LR: 0.004000
Training Epoch: 33 [25856/47500]	Loss: 0.3919	LR: 0.004000
Training Epoch: 33 [26112/47500]	Loss: 0.3885	LR: 0.004000
Training Epoch: 33 [26368/47500]	Loss: 0.3089	LR: 0.004000
Training Epoch: 33 [26624/47500]	Loss: 0.3964	LR: 0.004000
Training Epoch: 33 [26880/47500]	Loss: 0.3466	LR: 0.004000
Training Epoch: 33 [27136/47500]	Loss: 0.3188	LR: 0.004000
Training Epoch: 33 [27392/47500]	Loss: 0.3551	LR: 0.004000
Training Epoch: 33 [27648/47500]	Loss: 0.4149	LR: 0.004000
Training Epoch: 33 [27904/47500]	Loss: 0.3344	LR: 0.004000
Training Epoch: 33 [28160/47500]	Loss: 0.3736	LR: 0.004000
Training Epoch: 33 [28416/47500]	Loss: 0.3992	LR: 0.004000
Training Epoch: 33 [28672/47500]	Loss: 0.3144	LR: 0.004000
Training Epoch: 33 [28928/47500]	Loss: 0.3340	LR: 0.004000
Training Epoch: 33 [29184/47500]	Loss: 0.3103	LR: 0.004000
Training Epoch: 33 [29440/47500]	Loss: 0.3246	LR: 0.004000
Training Epoch: 33 [29696/47500]	Loss: 0.3227	LR: 0.004000
Training Epoch: 33 [29952/47500]	Loss: 0.3977	LR: 0.004000
Training Epoch: 33 [30208/47500]	Loss: 0.3076	LR: 0.004000
Training Epoch: 33 [30464/47500]	Loss: 0.3023	LR: 0.004000
Training Epoch: 33 [30720/47500]	Loss: 0.3183	LR: 0.004000
Training Epoch: 33 [30976/47500]	Loss: 0.2881	LR: 0.004000
Training Epoch: 33 [31232/47500]	Loss: 0.2942	LR: 0.004000
Training Epoch: 33 [31488/47500]	Loss: 0.2805	LR: 0.004000
Training Epoch: 33 [31744/47500]	Loss: 0.3258	LR: 0.004000
Training Epoch: 33 [32000/47500]	Loss: 0.3087	LR: 0.004000
Training Epoch: 33 [32256/47500]	Loss: 0.2980	LR: 0.004000
Training Epoch: 33 [32512/47500]	Loss: 0.3493	LR: 0.004000
Training Epoch: 33 [32768/47500]	Loss: 0.3496	LR: 0.004000
Training Epoch: 33 [33024/47500]	Loss: 0.2470	LR: 0.004000
Training Epoch: 33 [33280/47500]	Loss: 0.2546	LR: 0.004000
Training Epoch: 33 [33536/47500]	Loss: 0.3438	LR: 0.004000
Training Epoch: 33 [33792/47500]	Loss: 0.4168	LR: 0.004000
Training Epoch: 33 [34048/47500]	Loss: 0.3264	LR: 0.004000
Training Epoch: 33 [34304/47500]	Loss: 0.3654	LR: 0.004000
Training Epoch: 33 [34560/47500]	Loss: 0.3742	LR: 0.004000
Training Epoch: 33 [34816/47500]	Loss: 0.2928	LR: 0.004000
Training Epoch: 33 [35072/47500]	Loss: 0.3326	LR: 0.004000
Training Epoch: 33 [35328/47500]	Loss: 0.3426	LR: 0.004000
Training Epoch: 33 [35584/47500]	Loss: 0.2749	LR: 0.004000
Training Epoch: 33 [35840/47500]	Loss: 0.3071	LR: 0.004000
Training Epoch: 33 [36096/47500]	Loss: 0.2835	LR: 0.004000
Training Epoch: 33 [36352/47500]	Loss: 0.3650	LR: 0.004000
Training Epoch: 33 [36608/47500]	Loss: 0.3247	LR: 0.004000
Training Epoch: 33 [36864/47500]	Loss: 0.3761	LR: 0.004000
Training Epoch: 33 [37120/47500]	Loss: 0.3165	LR: 0.004000
Training Epoch: 33 [37376/47500]	Loss: 0.4207	LR: 0.004000
Training Epoch: 33 [37632/47500]	Loss: 0.3526	LR: 0.004000
Training Epoch: 33 [37888/47500]	Loss: 0.3733	LR: 0.004000
Training Epoch: 33 [38144/47500]	Loss: 0.3444	LR: 0.004000
Training Epoch: 33 [38400/47500]	Loss: 0.2909	LR: 0.004000
Training Epoch: 33 [38656/47500]	Loss: 0.2526	LR: 0.004000
Training Epoch: 33 [38912/47500]	Loss: 0.3112	LR: 0.004000
Training Epoch: 33 [39168/47500]	Loss: 0.2878	LR: 0.004000
Training Epoch: 33 [39424/47500]	Loss: 0.3561	LR: 0.004000
Training Epoch: 33 [39680/47500]	Loss: 0.3929	LR: 0.004000
Training Epoch: 33 [39936/47500]	Loss: 0.4143	LR: 0.004000
Training Epoch: 33 [40192/47500]	Loss: 0.2792	LR: 0.004000
Training Epoch: 33 [40448/47500]	Loss: 0.3107	LR: 0.004000
Training Epoch: 33 [40704/47500]	Loss: 0.3517	LR: 0.004000
Training Epoch: 33 [40960/47500]	Loss: 0.3568	LR: 0.004000
Training Epoch: 33 [41216/47500]	Loss: 0.2429	LR: 0.004000
Training Epoch: 33 [41472/47500]	Loss: 0.3408	LR: 0.004000
Training Epoch: 33 [41728/47500]	Loss: 0.3596	LR: 0.004000
Training Epoch: 33 [41984/47500]	Loss: 0.3541	LR: 0.004000
Training Epoch: 33 [42240/47500]	Loss: 0.3683	LR: 0.004000
Training Epoch: 33 [42496/47500]	Loss: 0.3539	LR: 0.004000
Training Epoch: 33 [42752/47500]	Loss: 0.3321	LR: 0.004000
Training Epoch: 33 [43008/47500]	Loss: 0.3061	LR: 0.004000
Training Epoch: 33 [43264/47500]	Loss: 0.2647	LR: 0.004000
Training Epoch: 33 [43520/47500]	Loss: 0.3140	LR: 0.004000
Training Epoch: 33 [43776/47500]	Loss: 0.3149	LR: 0.004000
Training Epoch: 33 [44032/47500]	Loss: 0.4177	LR: 0.004000
Training Epoch: 33 [44288/47500]	Loss: 0.3225	LR: 0.004000
Training Epoch: 33 [44544/47500]	Loss: 0.3399	LR: 0.004000
Training Epoch: 33 [44800/47500]	Loss: 0.3663	LR: 0.004000
Training Epoch: 33 [45056/47500]	Loss: 0.4360	LR: 0.004000
Training Epoch: 33 [45312/47500]	Loss: 0.3226	LR: 0.004000
Training Epoch: 33 [45568/47500]	Loss: 0.2924	LR: 0.004000
Training Epoch: 33 [45824/47500]	Loss: 0.2687	LR: 0.004000
Training Epoch: 33 [46080/47500]	Loss: 0.2966	LR: 0.004000
Training Epoch: 33 [46336/47500]	Loss: 0.3443	LR: 0.004000
Training Epoch: 33 [46592/47500]	Loss: 0.2894	LR: 0.004000
Training Epoch: 33 [46848/47500]	Loss: 0.3292	LR: 0.004000
Training Epoch: 33 [47104/47500]	Loss: 0.3449	LR: 0.004000
Training Epoch: 33 [47360/47500]	Loss: 0.3706	LR: 0.004000
Training Epoch: 33 [47500/47500]	Loss: 0.2740	LR: 0.004000
Epoch 33 - Average Train Loss: 0.3327, Train Accuracy: 0.8970
Epoch 33 training time consumed: 25.51s
Evaluating Network.....
Test set: Epoch: 33, Average loss: 0.0030, Accuracy: 0.7786, Time consumed:0.88s
Training Epoch: 34 [256/47500]	Loss: 0.2818	LR: 0.004000
Training Epoch: 34 [512/47500]	Loss: 0.3296	LR: 0.004000
Training Epoch: 34 [768/47500]	Loss: 0.3413	LR: 0.004000
Training Epoch: 34 [1024/47500]	Loss: 0.3065	LR: 0.004000
Training Epoch: 34 [1280/47500]	Loss: 0.2900	LR: 0.004000
Training Epoch: 34 [1536/47500]	Loss: 0.3706	LR: 0.004000
Training Epoch: 34 [1792/47500]	Loss: 0.3225	LR: 0.004000
Training Epoch: 34 [2048/47500]	Loss: 0.3327	LR: 0.004000
Training Epoch: 34 [2304/47500]	Loss: 0.2880	LR: 0.004000
Training Epoch: 34 [2560/47500]	Loss: 0.2899	LR: 0.004000
Training Epoch: 34 [2816/47500]	Loss: 0.3000	LR: 0.004000
Training Epoch: 34 [3072/47500]	Loss: 0.3251	LR: 0.004000
Training Epoch: 34 [3328/47500]	Loss: 0.2450	LR: 0.004000
Training Epoch: 34 [3584/47500]	Loss: 0.3133	LR: 0.004000
Training Epoch: 34 [3840/47500]	Loss: 0.3578	LR: 0.004000
Training Epoch: 34 [4096/47500]	Loss: 0.2707	LR: 0.004000
Training Epoch: 34 [4352/47500]	Loss: 0.3634	LR: 0.004000
Training Epoch: 34 [4608/47500]	Loss: 0.3452	LR: 0.004000
Training Epoch: 34 [4864/47500]	Loss: 0.3424	LR: 0.004000
Training Epoch: 34 [5120/47500]	Loss: 0.2964	LR: 0.004000
Training Epoch: 34 [5376/47500]	Loss: 0.2608	LR: 0.004000
Training Epoch: 34 [5632/47500]	Loss: 0.3066	LR: 0.004000
Training Epoch: 34 [5888/47500]	Loss: 0.3106	LR: 0.004000
Training Epoch: 34 [6144/47500]	Loss: 0.3405	LR: 0.004000
Training Epoch: 34 [6400/47500]	Loss: 0.2891	LR: 0.004000
Training Epoch: 34 [6656/47500]	Loss: 0.3203	LR: 0.004000
Training Epoch: 34 [6912/47500]	Loss: 0.3549	LR: 0.004000
Training Epoch: 34 [7168/47500]	Loss: 0.3580	LR: 0.004000
Training Epoch: 34 [7424/47500]	Loss: 0.3147	LR: 0.004000
Training Epoch: 34 [7680/47500]	Loss: 0.3743	LR: 0.004000
Training Epoch: 34 [7936/47500]	Loss: 0.3219	LR: 0.004000
Training Epoch: 34 [8192/47500]	Loss: 0.2905	LR: 0.004000
Training Epoch: 34 [8448/47500]	Loss: 0.2999	LR: 0.004000
Training Epoch: 34 [8704/47500]	Loss: 0.3197	LR: 0.004000
Training Epoch: 34 [8960/47500]	Loss: 0.3436	LR: 0.004000
Training Epoch: 34 [9216/47500]	Loss: 0.2932	LR: 0.004000
Training Epoch: 34 [9472/47500]	Loss: 0.3454	LR: 0.004000
Training Epoch: 34 [9728/47500]	Loss: 0.2402	LR: 0.004000
Training Epoch: 34 [9984/47500]	Loss: 0.3260	LR: 0.004000
Training Epoch: 34 [10240/47500]	Loss: 0.3132	LR: 0.004000
Training Epoch: 34 [10496/47500]	Loss: 0.3513	LR: 0.004000
Training Epoch: 34 [10752/47500]	Loss: 0.3472	LR: 0.004000
Training Epoch: 34 [11008/47500]	Loss: 0.3246	LR: 0.004000
Training Epoch: 34 [11264/47500]	Loss: 0.3021	LR: 0.004000
Training Epoch: 34 [11520/47500]	Loss: 0.3722	LR: 0.004000
Training Epoch: 34 [11776/47500]	Loss: 0.2816	LR: 0.004000
Training Epoch: 34 [12032/47500]	Loss: 0.3777	LR: 0.004000
Training Epoch: 34 [12288/47500]	Loss: 0.2578	LR: 0.004000
Training Epoch: 34 [12544/47500]	Loss: 0.2846	LR: 0.004000
Training Epoch: 34 [12800/47500]	Loss: 0.3459	LR: 0.004000
Training Epoch: 34 [13056/47500]	Loss: 0.3214	LR: 0.004000
Training Epoch: 34 [13312/47500]	Loss: 0.3261	LR: 0.004000
Training Epoch: 34 [13568/47500]	Loss: 0.2873	LR: 0.004000
Training Epoch: 34 [13824/47500]	Loss: 0.3038	LR: 0.004000
Training Epoch: 34 [14080/47500]	Loss: 0.2841	LR: 0.004000
Training Epoch: 34 [14336/47500]	Loss: 0.2481	LR: 0.004000
Training Epoch: 34 [14592/47500]	Loss: 0.3230	LR: 0.004000
Training Epoch: 34 [14848/47500]	Loss: 0.3198	LR: 0.004000
Training Epoch: 34 [15104/47500]	Loss: 0.3323	LR: 0.004000
Training Epoch: 34 [15360/47500]	Loss: 0.3047	LR: 0.004000
Training Epoch: 34 [15616/47500]	Loss: 0.3666	LR: 0.004000
Training Epoch: 34 [15872/47500]	Loss: 0.3291	LR: 0.004000
Training Epoch: 34 [16128/47500]	Loss: 0.3826	LR: 0.004000
Training Epoch: 34 [16384/47500]	Loss: 0.4034	LR: 0.004000
Training Epoch: 34 [16640/47500]	Loss: 0.3434	LR: 0.004000
Training Epoch: 34 [16896/47500]	Loss: 0.3486	LR: 0.004000
Training Epoch: 34 [17152/47500]	Loss: 0.3437	LR: 0.004000
Training Epoch: 34 [17408/47500]	Loss: 0.3002	LR: 0.004000
Training Epoch: 34 [17664/47500]	Loss: 0.3126	LR: 0.004000
Training Epoch: 34 [17920/47500]	Loss: 0.3670	LR: 0.004000
Training Epoch: 34 [18176/47500]	Loss: 0.4052	LR: 0.004000
Training Epoch: 34 [18432/47500]	Loss: 0.2282	LR: 0.004000
Training Epoch: 34 [18688/47500]	Loss: 0.2943	LR: 0.004000
Training Epoch: 34 [18944/47500]	Loss: 0.2621	LR: 0.004000
Training Epoch: 34 [19200/47500]	Loss: 0.3616	LR: 0.004000
Training Epoch: 34 [19456/47500]	Loss: 0.3494	LR: 0.004000
Training Epoch: 34 [19712/47500]	Loss: 0.2778	LR: 0.004000
Training Epoch: 34 [19968/47500]	Loss: 0.3527	LR: 0.004000
Training Epoch: 34 [20224/47500]	Loss: 0.3559	LR: 0.004000
Training Epoch: 34 [20480/47500]	Loss: 0.2971	LR: 0.004000
Training Epoch: 34 [20736/47500]	Loss: 0.3079	LR: 0.004000
Training Epoch: 34 [20992/47500]	Loss: 0.3692	LR: 0.004000
Training Epoch: 34 [21248/47500]	Loss: 0.3068	LR: 0.004000
Training Epoch: 34 [21504/47500]	Loss: 0.3238	LR: 0.004000
Training Epoch: 34 [21760/47500]	Loss: 0.3480	LR: 0.004000
Training Epoch: 34 [22016/47500]	Loss: 0.3677	LR: 0.004000
Training Epoch: 34 [22272/47500]	Loss: 0.3187	LR: 0.004000
Training Epoch: 34 [22528/47500]	Loss: 0.3886	LR: 0.004000
Training Epoch: 34 [22784/47500]	Loss: 0.3026	LR: 0.004000
Training Epoch: 34 [23040/47500]	Loss: 0.3582	LR: 0.004000
Training Epoch: 34 [23296/47500]	Loss: 0.2615	LR: 0.004000
Training Epoch: 34 [23552/47500]	Loss: 0.2608	LR: 0.004000
Training Epoch: 34 [23808/47500]	Loss: 0.3386	LR: 0.004000
Training Epoch: 34 [24064/47500]	Loss: 0.3626	LR: 0.004000
Training Epoch: 34 [24320/47500]	Loss: 0.3329	LR: 0.004000
Training Epoch: 34 [24576/47500]	Loss: 0.2924	LR: 0.004000
Training Epoch: 34 [24832/47500]	Loss: 0.3326	LR: 0.004000
Training Epoch: 34 [25088/47500]	Loss: 0.3443	LR: 0.004000
Training Epoch: 34 [25344/47500]	Loss: 0.2943	LR: 0.004000
Training Epoch: 34 [25600/47500]	Loss: 0.2955	LR: 0.004000
Training Epoch: 34 [25856/47500]	Loss: 0.3276	LR: 0.004000
Training Epoch: 34 [26112/47500]	Loss: 0.3295	LR: 0.004000
Training Epoch: 34 [26368/47500]	Loss: 0.3890	LR: 0.004000
Training Epoch: 34 [26624/47500]	Loss: 0.3764	LR: 0.004000
Training Epoch: 34 [26880/47500]	Loss: 0.3559	LR: 0.004000
Training Epoch: 34 [27136/47500]	Loss: 0.3153	LR: 0.004000
Training Epoch: 34 [27392/47500]	Loss: 0.3020	LR: 0.004000
Training Epoch: 34 [27648/47500]	Loss: 0.3595	LR: 0.004000
Training Epoch: 34 [27904/47500]	Loss: 0.2956	LR: 0.004000
Training Epoch: 34 [28160/47500]	Loss: 0.3356	LR: 0.004000
Training Epoch: 34 [28416/47500]	Loss: 0.2949	LR: 0.004000
Training Epoch: 34 [28672/47500]	Loss: 0.3243	LR: 0.004000
Training Epoch: 34 [28928/47500]	Loss: 0.2423	LR: 0.004000
Training Epoch: 34 [29184/47500]	Loss: 0.2681	LR: 0.004000
Training Epoch: 34 [29440/47500]	Loss: 0.3037	LR: 0.004000
Training Epoch: 34 [29696/47500]	Loss: 0.3968	LR: 0.004000
Training Epoch: 34 [29952/47500]	Loss: 0.3351	LR: 0.004000
Training Epoch: 34 [30208/47500]	Loss: 0.3364	LR: 0.004000
Training Epoch: 34 [30464/47500]	Loss: 0.3155	LR: 0.004000
Training Epoch: 34 [30720/47500]	Loss: 0.3374	LR: 0.004000
Training Epoch: 34 [30976/47500]	Loss: 0.3218	LR: 0.004000
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Training Epoch: 34 [43008/47500]	Loss: 0.3049	LR: 0.004000
Training Epoch: 34 [43264/47500]	Loss: 0.4239	LR: 0.004000
Training Epoch: 34 [43520/47500]	Loss: 0.3095	LR: 0.004000
Training Epoch: 34 [43776/47500]	Loss: 0.3035	LR: 0.004000
Training Epoch: 34 [44032/47500]	Loss: 0.3575	LR: 0.004000
Training Epoch: 34 [44288/47500]	Loss: 0.2559	LR: 0.004000
Training Epoch: 34 [44544/47500]	Loss: 0.3450	LR: 0.004000
Training Epoch: 34 [44800/47500]	Loss: 0.2976	LR: 0.004000
Training Epoch: 34 [45056/47500]	Loss: 0.3555	LR: 0.004000
Training Epoch: 34 [45312/47500]	Loss: 0.2867	LR: 0.004000
Training Epoch: 34 [45568/47500]	Loss: 0.3288	LR: 0.004000
Training Epoch: 34 [45824/47500]	Loss: 0.3303	LR: 0.004000
Training Epoch: 34 [46080/47500]	Loss: 0.3954	LR: 0.004000
Training Epoch: 34 [46336/47500]	Loss: 0.2294	LR: 0.004000
Training Epoch: 34 [46592/47500]	Loss: 0.3564	LR: 0.004000
Training Epoch: 34 [46848/47500]	Loss: 0.3208	LR: 0.004000
Training Epoch: 34 [47104/47500]	Loss: 0.3298	LR: 0.004000
Training Epoch: 34 [47360/47500]	Loss: 0.2931	LR: 0.004000
Training Epoch: 34 [47500/47500]	Loss: 0.3456	LR: 0.004000
Epoch 34 - Average Train Loss: 0.3251, Train Accuracy: 0.9010
Epoch 34 training time consumed: 25.59s
Evaluating Network.....
Test set: Epoch: 34, Average loss: 0.0030, Accuracy: 0.7774, Time consumed:0.87s
Training Epoch: 35 [256/47500]	Loss: 0.3054	LR: 0.000800
Training Epoch: 35 [512/47500]	Loss: 0.2934	LR: 0.000800
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Training Epoch: 35 [1024/47500]	Loss: 0.2670	LR: 0.000800
Training Epoch: 35 [1280/47500]	Loss: 0.3537	LR: 0.000800
Training Epoch: 35 [1536/47500]	Loss: 0.3539	LR: 0.000800
Training Epoch: 35 [1792/47500]	Loss: 0.3045	LR: 0.000800
Training Epoch: 35 [2048/47500]	Loss: 0.2388	LR: 0.000800
Training Epoch: 35 [2304/47500]	Loss: 0.3613	LR: 0.000800
Training Epoch: 35 [2560/47500]	Loss: 0.2769	LR: 0.000800
Training Epoch: 35 [2816/47500]	Loss: 0.3257	LR: 0.000800
Training Epoch: 35 [3072/47500]	Loss: 0.3403	LR: 0.000800
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Training Epoch: 35 [4608/47500]	Loss: 0.2682	LR: 0.000800
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Training Epoch: 35 [5120/47500]	Loss: 0.2676	LR: 0.000800
Training Epoch: 35 [5376/47500]	Loss: 0.3504	LR: 0.000800
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Training Epoch: 35 [5888/47500]	Loss: 0.3306	LR: 0.000800
Training Epoch: 35 [6144/47500]	Loss: 0.2457	LR: 0.000800
Training Epoch: 35 [6400/47500]	Loss: 0.2901	LR: 0.000800
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Training Epoch: 35 [8448/47500]	Loss: 0.3156	LR: 0.000800
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Training Epoch: 35 [44288/47500]	Loss: 0.3301	LR: 0.000800
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Training Epoch: 35 [44800/47500]	Loss: 0.2866	LR: 0.000800
Training Epoch: 35 [45056/47500]	Loss: 0.2771	LR: 0.000800
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Training Epoch: 35 [45824/47500]	Loss: 0.3648	LR: 0.000800
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Training Epoch: 35 [46592/47500]	Loss: 0.2161	LR: 0.000800
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Training Epoch: 35 [47104/47500]	Loss: 0.3215	LR: 0.000800
Training Epoch: 35 [47360/47500]	Loss: 0.2465	LR: 0.000800
Training Epoch: 35 [47500/47500]	Loss: 0.3375	LR: 0.000800
Epoch 35 - Average Train Loss: 0.3028, Train Accuracy: 0.9092
Epoch 35 training time consumed: 25.51s
Evaluating Network.....
Test set: Epoch: 35, Average loss: 0.0029, Accuracy: 0.7862, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_23h_09m_43s/AllCNN-Cifar20-seed8-ret50-35-best.pth
Training Epoch: 36 [256/47500]	Loss: 0.3369	LR: 0.000800
Training Epoch: 36 [512/47500]	Loss: 0.2506	LR: 0.000800
Training Epoch: 36 [768/47500]	Loss: 0.3533	LR: 0.000800
Training Epoch: 36 [1024/47500]	Loss: 0.2709	LR: 0.000800
Training Epoch: 36 [1280/47500]	Loss: 0.2700	LR: 0.000800
Training Epoch: 36 [1536/47500]	Loss: 0.2738	LR: 0.000800
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Training Epoch: 36 [2560/47500]	Loss: 0.3301	LR: 0.000800
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Training Epoch: 36 [7936/47500]	Loss: 0.3162	LR: 0.000800
Training Epoch: 36 [8192/47500]	Loss: 0.2620	LR: 0.000800
Training Epoch: 36 [8448/47500]	Loss: 0.3397	LR: 0.000800
Training Epoch: 36 [8704/47500]	Loss: 0.2570	LR: 0.000800
Training Epoch: 36 [8960/47500]	Loss: 0.3290	LR: 0.000800
Training Epoch: 36 [9216/47500]	Loss: 0.3077	LR: 0.000800
Training Epoch: 36 [9472/47500]	Loss: 0.2293	LR: 0.000800
Training Epoch: 36 [9728/47500]	Loss: 0.2537	LR: 0.000800
Training Epoch: 36 [9984/47500]	Loss: 0.2606	LR: 0.000800
Training Epoch: 36 [10240/47500]	Loss: 0.2936	LR: 0.000800
Training Epoch: 36 [10496/47500]	Loss: 0.2645	LR: 0.000800
Training Epoch: 36 [10752/47500]	Loss: 0.3186	LR: 0.000800
Training Epoch: 36 [11008/47500]	Loss: 0.2406	LR: 0.000800
Training Epoch: 36 [11264/47500]	Loss: 0.3427	LR: 0.000800
Training Epoch: 36 [11520/47500]	Loss: 0.2425	LR: 0.000800
Training Epoch: 36 [11776/47500]	Loss: 0.3127	LR: 0.000800
Training Epoch: 36 [12032/47500]	Loss: 0.2795	LR: 0.000800
Training Epoch: 36 [12288/47500]	Loss: 0.2271	LR: 0.000800
Training Epoch: 36 [12544/47500]	Loss: 0.2851	LR: 0.000800
Training Epoch: 36 [12800/47500]	Loss: 0.2739	LR: 0.000800
Training Epoch: 36 [13056/47500]	Loss: 0.2523	LR: 0.000800
Training Epoch: 36 [13312/47500]	Loss: 0.3330	LR: 0.000800
Training Epoch: 36 [13568/47500]	Loss: 0.2268	LR: 0.000800
Training Epoch: 36 [13824/47500]	Loss: 0.3299	LR: 0.000800
Training Epoch: 36 [14080/47500]	Loss: 0.3080	LR: 0.000800
Training Epoch: 36 [14336/47500]	Loss: 0.3739	LR: 0.000800
Training Epoch: 36 [14592/47500]	Loss: 0.3134	LR: 0.000800
Training Epoch: 36 [14848/47500]	Loss: 0.2870	LR: 0.000800
Training Epoch: 36 [15104/47500]	Loss: 0.2486	LR: 0.000800
Training Epoch: 36 [15360/47500]	Loss: 0.3468	LR: 0.000800
Training Epoch: 36 [15616/47500]	Loss: 0.2325	LR: 0.000800
Training Epoch: 36 [15872/47500]	Loss: 0.2909	LR: 0.000800
Training Epoch: 36 [16128/47500]	Loss: 0.2491	LR: 0.000800
Training Epoch: 36 [16384/47500]	Loss: 0.2284	LR: 0.000800
Training Epoch: 36 [16640/47500]	Loss: 0.3643	LR: 0.000800
Training Epoch: 36 [16896/47500]	Loss: 0.3553	LR: 0.000800
Training Epoch: 36 [17152/47500]	Loss: 0.3368	LR: 0.000800
Training Epoch: 36 [17408/47500]	Loss: 0.3025	LR: 0.000800
Training Epoch: 36 [17664/47500]	Loss: 0.2514	LR: 0.000800
Training Epoch: 36 [17920/47500]	Loss: 0.3199	LR: 0.000800
Training Epoch: 36 [18176/47500]	Loss: 0.3318	LR: 0.000800
Training Epoch: 36 [18432/47500]	Loss: 0.3161	LR: 0.000800
Training Epoch: 36 [18688/47500]	Loss: 0.3041	LR: 0.000800
Training Epoch: 36 [18944/47500]	Loss: 0.2639	LR: 0.000800
Training Epoch: 36 [19200/47500]	Loss: 0.2939	LR: 0.000800
Training Epoch: 36 [19456/47500]	Loss: 0.3209	LR: 0.000800
Training Epoch: 36 [19712/47500]	Loss: 0.3666	LR: 0.000800
Training Epoch: 36 [19968/47500]	Loss: 0.3188	LR: 0.000800
Training Epoch: 36 [20224/47500]	Loss: 0.2924	LR: 0.000800
Training Epoch: 36 [20480/47500]	Loss: 0.3308	LR: 0.000800
Training Epoch: 36 [20736/47500]	Loss: 0.3341	LR: 0.000800
Training Epoch: 36 [20992/47500]	Loss: 0.2541	LR: 0.000800
Training Epoch: 36 [21248/47500]	Loss: 0.2725	LR: 0.000800
Training Epoch: 36 [21504/47500]	Loss: 0.4353	LR: 0.000800
Training Epoch: 36 [21760/47500]	Loss: 0.3170	LR: 0.000800
Training Epoch: 36 [22016/47500]	Loss: 0.2990	LR: 0.000800
Training Epoch: 36 [22272/47500]	Loss: 0.3261	LR: 0.000800
Training Epoch: 36 [22528/47500]	Loss: 0.2475	LR: 0.000800
Training Epoch: 36 [22784/47500]	Loss: 0.2014	LR: 0.000800
Training Epoch: 36 [23040/47500]	Loss: 0.3087	LR: 0.000800
Training Epoch: 36 [23296/47500]	Loss: 0.2574	LR: 0.000800
Training Epoch: 36 [23552/47500]	Loss: 0.2718	LR: 0.000800
Training Epoch: 36 [23808/47500]	Loss: 0.2889	LR: 0.000800
Training Epoch: 36 [24064/47500]	Loss: 0.2912	LR: 0.000800
Training Epoch: 36 [24320/47500]	Loss: 0.2325	LR: 0.000800
Training Epoch: 36 [24576/47500]	Loss: 0.2743	LR: 0.000800
Training Epoch: 36 [24832/47500]	Loss: 0.3061	LR: 0.000800
Training Epoch: 36 [25088/47500]	Loss: 0.2547	LR: 0.000800
Training Epoch: 36 [25344/47500]	Loss: 0.3269	LR: 0.000800
Training Epoch: 36 [25600/47500]	Loss: 0.2364	LR: 0.000800
Training Epoch: 36 [25856/47500]	Loss: 0.2862	LR: 0.000800
Training Epoch: 36 [26112/47500]	Loss: 0.3458	LR: 0.000800
Training Epoch: 36 [26368/47500]	Loss: 0.2507	LR: 0.000800
Training Epoch: 36 [26624/47500]	Loss: 0.2777	LR: 0.000800
Training Epoch: 36 [26880/47500]	Loss: 0.2984	LR: 0.000800
Training Epoch: 36 [27136/47500]	Loss: 0.2943	LR: 0.000800
Training Epoch: 36 [27392/47500]	Loss: 0.2984	LR: 0.000800
Training Epoch: 36 [27648/47500]	Loss: 0.2775	LR: 0.000800
Training Epoch: 36 [27904/47500]	Loss: 0.2858	LR: 0.000800
Training Epoch: 36 [28160/47500]	Loss: 0.2889	LR: 0.000800
Training Epoch: 36 [28416/47500]	Loss: 0.2414	LR: 0.000800
Training Epoch: 36 [28672/47500]	Loss: 0.2597	LR: 0.000800
Training Epoch: 36 [28928/47500]	Loss: 0.3633	LR: 0.000800
Training Epoch: 36 [29184/47500]	Loss: 0.2864	LR: 0.000800
Training Epoch: 36 [29440/47500]	Loss: 0.2932	LR: 0.000800
Training Epoch: 36 [29696/47500]	Loss: 0.3197	LR: 0.000800
Training Epoch: 36 [29952/47500]	Loss: 0.3200	LR: 0.000800
Training Epoch: 36 [30208/47500]	Loss: 0.2650	LR: 0.000800
Training Epoch: 36 [30464/47500]	Loss: 0.2490	LR: 0.000800
Training Epoch: 36 [30720/47500]	Loss: 0.2951	LR: 0.000800
Training Epoch: 36 [30976/47500]	Loss: 0.3092	LR: 0.000800
Training Epoch: 36 [31232/47500]	Loss: 0.3251	LR: 0.000800
Training Epoch: 36 [31488/47500]	Loss: 0.3986	LR: 0.000800
Training Epoch: 36 [31744/47500]	Loss: 0.2913	LR: 0.000800
Training Epoch: 36 [32000/47500]	Loss: 0.2604	LR: 0.000800
Training Epoch: 36 [32256/47500]	Loss: 0.2491	LR: 0.000800
Training Epoch: 36 [32512/47500]	Loss: 0.3388	LR: 0.000800
Training Epoch: 36 [32768/47500]	Loss: 0.2619	LR: 0.000800
Training Epoch: 36 [33024/47500]	Loss: 0.2519	LR: 0.000800
Training Epoch: 36 [33280/47500]	Loss: 0.3417	LR: 0.000800
Training Epoch: 36 [33536/47500]	Loss: 0.2676	LR: 0.000800
Training Epoch: 36 [33792/47500]	Loss: 0.2760	LR: 0.000800
Training Epoch: 36 [34048/47500]	Loss: 0.3296	LR: 0.000800
Training Epoch: 36 [34304/47500]	Loss: 0.3699	LR: 0.000800
Training Epoch: 36 [34560/47500]	Loss: 0.3396	LR: 0.000800
Training Epoch: 36 [34816/47500]	Loss: 0.2464	LR: 0.000800
Training Epoch: 36 [35072/47500]	Loss: 0.2403	LR: 0.000800
Training Epoch: 36 [35328/47500]	Loss: 0.3273	LR: 0.000800
Training Epoch: 36 [35584/47500]	Loss: 0.2700	LR: 0.000800
Training Epoch: 36 [35840/47500]	Loss: 0.3683	LR: 0.000800
Training Epoch: 36 [36096/47500]	Loss: 0.2619	LR: 0.000800
Training Epoch: 36 [36352/47500]	Loss: 0.2956	LR: 0.000800
Training Epoch: 36 [36608/47500]	Loss: 0.3483	LR: 0.000800
Training Epoch: 36 [36864/47500]	Loss: 0.3069	LR: 0.000800
Training Epoch: 36 [37120/47500]	Loss: 0.3141	LR: 0.000800
Training Epoch: 36 [37376/47500]	Loss: 0.3250	LR: 0.000800
Training Epoch: 36 [37632/47500]	Loss: 0.3266	LR: 0.000800
Training Epoch: 36 [37888/47500]	Loss: 0.2354	LR: 0.000800
Training Epoch: 36 [38144/47500]	Loss: 0.3127	LR: 0.000800
Training Epoch: 36 [38400/47500]	Loss: 0.3110	LR: 0.000800
Training Epoch: 36 [38656/47500]	Loss: 0.2971	LR: 0.000800
Training Epoch: 36 [38912/47500]	Loss: 0.3188	LR: 0.000800
Training Epoch: 36 [39168/47500]	Loss: 0.3050	LR: 0.000800
Training Epoch: 36 [39424/47500]	Loss: 0.3237	LR: 0.000800
Training Epoch: 36 [39680/47500]	Loss: 0.3160	LR: 0.000800
Training Epoch: 36 [39936/47500]	Loss: 0.2576	LR: 0.000800
Training Epoch: 36 [40192/47500]	Loss: 0.3455	LR: 0.000800
Training Epoch: 36 [40448/47500]	Loss: 0.2307	LR: 0.000800
Training Epoch: 36 [40704/47500]	Loss: 0.2599	LR: 0.000800
Training Epoch: 36 [40960/47500]	Loss: 0.2920	LR: 0.000800
Training Epoch: 36 [41216/47500]	Loss: 0.3193	LR: 0.000800
Training Epoch: 36 [41472/47500]	Loss: 0.2726	LR: 0.000800
Training Epoch: 36 [41728/47500]	Loss: 0.3135	LR: 0.000800
Training Epoch: 36 [41984/47500]	Loss: 0.2672	LR: 0.000800
Training Epoch: 36 [42240/47500]	Loss: 0.3382	LR: 0.000800
Training Epoch: 36 [42496/47500]	Loss: 0.3190	LR: 0.000800
Training Epoch: 36 [42752/47500]	Loss: 0.2947	LR: 0.000800
Training Epoch: 36 [43008/47500]	Loss: 0.2457	LR: 0.000800
Training Epoch: 36 [43264/47500]	Loss: 0.2617	LR: 0.000800
Training Epoch: 36 [43520/47500]	Loss: 0.2436	LR: 0.000800
Training Epoch: 36 [43776/47500]	Loss: 0.3005	LR: 0.000800
Training Epoch: 36 [44032/47500]	Loss: 0.3103	LR: 0.000800
Training Epoch: 36 [44288/47500]	Loss: 0.2225	LR: 0.000800
Training Epoch: 36 [44544/47500]	Loss: 0.2743	LR: 0.000800
Training Epoch: 36 [44800/47500]	Loss: 0.3209	LR: 0.000800
Training Epoch: 36 [45056/47500]	Loss: 0.2873	LR: 0.000800
Training Epoch: 36 [45312/47500]	Loss: 0.3048	LR: 0.000800
Training Epoch: 36 [45568/47500]	Loss: 0.2913	LR: 0.000800
Training Epoch: 36 [45824/47500]	Loss: 0.3434	LR: 0.000800
Training Epoch: 36 [46080/47500]	Loss: 0.3023	LR: 0.000800
Training Epoch: 36 [46336/47500]	Loss: 0.2471	LR: 0.000800
Training Epoch: 36 [46592/47500]	Loss: 0.2767	LR: 0.000800
Training Epoch: 36 [46848/47500]	Loss: 0.2579	LR: 0.000800
Training Epoch: 36 [47104/47500]	Loss: 0.2645	LR: 0.000800
Training Epoch: 36 [47360/47500]	Loss: 0.3524	LR: 0.000800
Training Epoch: 36 [47500/47500]	Loss: 0.2832	LR: 0.000800
Epoch 36 - Average Train Loss: 0.2941, Train Accuracy: 0.9130
Epoch 36 training time consumed: 25.62s
Evaluating Network.....
Test set: Epoch: 36, Average loss: 0.0030, Accuracy: 0.7829, Time consumed:0.89s
Training Epoch: 37 [256/47500]	Loss: 0.2951	LR: 0.000800
Training Epoch: 37 [512/47500]	Loss: 0.2344	LR: 0.000800
Training Epoch: 37 [768/47500]	Loss: 0.3152	LR: 0.000800
Training Epoch: 37 [1024/47500]	Loss: 0.2373	LR: 0.000800
Training Epoch: 37 [1280/47500]	Loss: 0.2507	LR: 0.000800
Training Epoch: 37 [1536/47500]	Loss: 0.3345	LR: 0.000800
Training Epoch: 37 [1792/47500]	Loss: 0.2566	LR: 0.000800
Training Epoch: 37 [2048/47500]	Loss: 0.2776	LR: 0.000800
Training Epoch: 37 [2304/47500]	Loss: 0.3263	LR: 0.000800
Training Epoch: 37 [2560/47500]	Loss: 0.2592	LR: 0.000800
Training Epoch: 37 [2816/47500]	Loss: 0.2556	LR: 0.000800
Training Epoch: 37 [3072/47500]	Loss: 0.2739	LR: 0.000800
Training Epoch: 37 [3328/47500]	Loss: 0.3293	LR: 0.000800
Training Epoch: 37 [3584/47500]	Loss: 0.2969	LR: 0.000800
Training Epoch: 37 [3840/47500]	Loss: 0.3343	LR: 0.000800
Training Epoch: 37 [4096/47500]	Loss: 0.2401	LR: 0.000800
Training Epoch: 37 [4352/47500]	Loss: 0.2493	LR: 0.000800
Training Epoch: 37 [4608/47500]	Loss: 0.3304	LR: 0.000800
Training Epoch: 37 [4864/47500]	Loss: 0.3463	LR: 0.000800
Training Epoch: 37 [5120/47500]	Loss: 0.2873	LR: 0.000800
Training Epoch: 37 [5376/47500]	Loss: 0.3412	LR: 0.000800
Training Epoch: 37 [5632/47500]	Loss: 0.3265	LR: 0.000800
Training Epoch: 37 [5888/47500]	Loss: 0.2611	LR: 0.000800
Training Epoch: 37 [6144/47500]	Loss: 0.2964	LR: 0.000800
Training Epoch: 37 [6400/47500]	Loss: 0.2758	LR: 0.000800
Training Epoch: 37 [6656/47500]	Loss: 0.2742	LR: 0.000800
Training Epoch: 37 [6912/47500]	Loss: 0.2893	LR: 0.000800
Training Epoch: 37 [7168/47500]	Loss: 0.2525	LR: 0.000800
Training Epoch: 37 [7424/47500]	Loss: 0.2993	LR: 0.000800
Training Epoch: 37 [7680/47500]	Loss: 0.2569	LR: 0.000800
Training Epoch: 37 [7936/47500]	Loss: 0.3263	LR: 0.000800
Training Epoch: 37 [8192/47500]	Loss: 0.2311	LR: 0.000800
Training Epoch: 37 [8448/47500]	Loss: 0.3507	LR: 0.000800
Training Epoch: 37 [8704/47500]	Loss: 0.2661	LR: 0.000800
Training Epoch: 37 [8960/47500]	Loss: 0.3359	LR: 0.000800
Training Epoch: 37 [9216/47500]	Loss: 0.2513	LR: 0.000800
Training Epoch: 37 [9472/47500]	Loss: 0.3472	LR: 0.000800
Training Epoch: 37 [9728/47500]	Loss: 0.2848	LR: 0.000800
Training Epoch: 37 [9984/47500]	Loss: 0.3038	LR: 0.000800
Training Epoch: 37 [10240/47500]	Loss: 0.2473	LR: 0.000800
Training Epoch: 37 [10496/47500]	Loss: 0.2858	LR: 0.000800
Training Epoch: 37 [10752/47500]	Loss: 0.3584	LR: 0.000800
Training Epoch: 37 [11008/47500]	Loss: 0.2894	LR: 0.000800
Training Epoch: 37 [11264/47500]	Loss: 0.2823	LR: 0.000800
Training Epoch: 37 [11520/47500]	Loss: 0.2708	LR: 0.000800
Training Epoch: 37 [11776/47500]	Loss: 0.2402	LR: 0.000800
Training Epoch: 37 [12032/47500]	Loss: 0.2629	LR: 0.000800
Training Epoch: 37 [12288/47500]	Loss: 0.2894	LR: 0.000800
Training Epoch: 37 [12544/47500]	Loss: 0.2357	LR: 0.000800
Training Epoch: 37 [12800/47500]	Loss: 0.3638	LR: 0.000800
Training Epoch: 37 [13056/47500]	Loss: 0.2822	LR: 0.000800
Training Epoch: 37 [13312/47500]	Loss: 0.2660	LR: 0.000800
Training Epoch: 37 [13568/47500]	Loss: 0.2623	LR: 0.000800
Training Epoch: 37 [13824/47500]	Loss: 0.2287	LR: 0.000800
Training Epoch: 37 [14080/47500]	Loss: 0.2766	LR: 0.000800
Training Epoch: 37 [14336/47500]	Loss: 0.2854	LR: 0.000800
Training Epoch: 37 [14592/47500]	Loss: 0.2967	LR: 0.000800
Training Epoch: 37 [14848/47500]	Loss: 0.3473	LR: 0.000800
Training Epoch: 37 [15104/47500]	Loss: 0.3047	LR: 0.000800
Training Epoch: 37 [15360/47500]	Loss: 0.3686	LR: 0.000800
Training Epoch: 37 [15616/47500]	Loss: 0.2700	LR: 0.000800
Training Epoch: 37 [15872/47500]	Loss: 0.2817	LR: 0.000800
Training Epoch: 37 [16128/47500]	Loss: 0.3223	LR: 0.000800
Training Epoch: 37 [16384/47500]	Loss: 0.2975	LR: 0.000800
Training Epoch: 37 [16640/47500]	Loss: 0.2643	LR: 0.000800
Training Epoch: 37 [16896/47500]	Loss: 0.2836	LR: 0.000800
Training Epoch: 37 [17152/47500]	Loss: 0.2061	LR: 0.000800
Training Epoch: 37 [17408/47500]	Loss: 0.2915	LR: 0.000800
Training Epoch: 37 [17664/47500]	Loss: 0.3191	LR: 0.000800
Training Epoch: 37 [17920/47500]	Loss: 0.2727	LR: 0.000800
Training Epoch: 37 [18176/47500]	Loss: 0.2498	LR: 0.000800
Training Epoch: 37 [18432/47500]	Loss: 0.2663	LR: 0.000800
Training Epoch: 37 [18688/47500]	Loss: 0.3011	LR: 0.000800
Training Epoch: 37 [18944/47500]	Loss: 0.3528	LR: 0.000800
Training Epoch: 37 [19200/47500]	Loss: 0.3060	LR: 0.000800
Training Epoch: 37 [19456/47500]	Loss: 0.2616	LR: 0.000800
Training Epoch: 37 [19712/47500]	Loss: 0.2564	LR: 0.000800
Training Epoch: 37 [19968/47500]	Loss: 0.2898	LR: 0.000800
Training Epoch: 37 [20224/47500]	Loss: 0.3105	LR: 0.000800
Training Epoch: 37 [20480/47500]	Loss: 0.2792	LR: 0.000800
Training Epoch: 37 [20736/47500]	Loss: 0.3068	LR: 0.000800
Training Epoch: 37 [20992/47500]	Loss: 0.3033	LR: 0.000800
Training Epoch: 37 [21248/47500]	Loss: 0.2808	LR: 0.000800
Training Epoch: 37 [21504/47500]	Loss: 0.2151	LR: 0.000800
Training Epoch: 37 [21760/47500]	Loss: 0.2920	LR: 0.000800
Training Epoch: 37 [22016/47500]	Loss: 0.2872	LR: 0.000800
Training Epoch: 37 [22272/47500]	Loss: 0.3501	LR: 0.000800
Training Epoch: 37 [22528/47500]	Loss: 0.2692	LR: 0.000800
Training Epoch: 37 [22784/47500]	Loss: 0.2722	LR: 0.000800
Training Epoch: 37 [23040/47500]	Loss: 0.2639	LR: 0.000800
Training Epoch: 37 [23296/47500]	Loss: 0.2877	LR: 0.000800
Training Epoch: 37 [23552/47500]	Loss: 0.3388	LR: 0.000800
Training Epoch: 37 [23808/47500]	Loss: 0.2860	LR: 0.000800
Training Epoch: 37 [24064/47500]	Loss: 0.2929	LR: 0.000800
Training Epoch: 37 [24320/47500]	Loss: 0.3117	LR: 0.000800
Training Epoch: 37 [24576/47500]	Loss: 0.2619	LR: 0.000800
Training Epoch: 37 [24832/47500]	Loss: 0.3169	LR: 0.000800
Training Epoch: 37 [25088/47500]	Loss: 0.2956	LR: 0.000800
Training Epoch: 37 [25344/47500]	Loss: 0.2839	LR: 0.000800
Training Epoch: 37 [25600/47500]	Loss: 0.2958	LR: 0.000800
Training Epoch: 37 [25856/47500]	Loss: 0.2534	LR: 0.000800
Training Epoch: 37 [26112/47500]	Loss: 0.3377	LR: 0.000800
Training Epoch: 37 [26368/47500]	Loss: 0.2886	LR: 0.000800
Training Epoch: 37 [26624/47500]	Loss: 0.2673	LR: 0.000800
Training Epoch: 37 [26880/47500]	Loss: 0.2429	LR: 0.000800
Training Epoch: 37 [27136/47500]	Loss: 0.3510	LR: 0.000800
Training Epoch: 37 [27392/47500]	Loss: 0.2697	LR: 0.000800
Training Epoch: 37 [27648/47500]	Loss: 0.2501	LR: 0.000800
Training Epoch: 37 [27904/47500]	Loss: 0.2883	LR: 0.000800
Training Epoch: 37 [28160/47500]	Loss: 0.2981	LR: 0.000800
Training Epoch: 37 [28416/47500]	Loss: 0.2956	LR: 0.000800
Training Epoch: 37 [28672/47500]	Loss: 0.3457	LR: 0.000800
Training Epoch: 37 [28928/47500]	Loss: 0.2964	LR: 0.000800
Training Epoch: 37 [29184/47500]	Loss: 0.2433	LR: 0.000800
Training Epoch: 37 [29440/47500]	Loss: 0.3105	LR: 0.000800
Training Epoch: 37 [29696/47500]	Loss: 0.2768	LR: 0.000800
Training Epoch: 37 [29952/47500]	Loss: 0.2796	LR: 0.000800
Training Epoch: 37 [30208/47500]	Loss: 0.3046	LR: 0.000800
Training Epoch: 37 [30464/47500]	Loss: 0.3184	LR: 0.000800
Training Epoch: 37 [30720/47500]	Loss: 0.3289	LR: 0.000800
Training Epoch: 37 [30976/47500]	Loss: 0.3050	LR: 0.000800
Training Epoch: 37 [31232/47500]	Loss: 0.2951	LR: 0.000800
Training Epoch: 37 [31488/47500]	Loss: 0.3504	LR: 0.000800
Training Epoch: 37 [31744/47500]	Loss: 0.2977	LR: 0.000800
Training Epoch: 37 [32000/47500]	Loss: 0.2797	LR: 0.000800
Training Epoch: 37 [32256/47500]	Loss: 0.3198	LR: 0.000800
Training Epoch: 37 [32512/47500]	Loss: 0.2317	LR: 0.000800
Training Epoch: 37 [32768/47500]	Loss: 0.2520	LR: 0.000800
Training Epoch: 37 [33024/47500]	Loss: 0.3315	LR: 0.000800
Training Epoch: 37 [33280/47500]	Loss: 0.2576	LR: 0.000800
Training Epoch: 37 [33536/47500]	Loss: 0.3596	LR: 0.000800
Training Epoch: 37 [33792/47500]	Loss: 0.3385	LR: 0.000800
Training Epoch: 37 [34048/47500]	Loss: 0.3029	LR: 0.000800
Training Epoch: 37 [34304/47500]	Loss: 0.2119	LR: 0.000800
Training Epoch: 37 [34560/47500]	Loss: 0.2942	LR: 0.000800
Training Epoch: 37 [34816/47500]	Loss: 0.3427	LR: 0.000800
Training Epoch: 37 [35072/47500]	Loss: 0.2591	LR: 0.000800
Training Epoch: 37 [35328/47500]	Loss: 0.2983	LR: 0.000800
Training Epoch: 37 [35584/47500]	Loss: 0.2711	LR: 0.000800
Training Epoch: 37 [35840/47500]	Loss: 0.3222	LR: 0.000800
Training Epoch: 37 [36096/47500]	Loss: 0.3087	LR: 0.000800
Training Epoch: 37 [36352/47500]	Loss: 0.3340	LR: 0.000800
Training Epoch: 37 [36608/47500]	Loss: 0.3932	LR: 0.000800
Training Epoch: 37 [36864/47500]	Loss: 0.2661	LR: 0.000800
Training Epoch: 37 [37120/47500]	Loss: 0.3018	LR: 0.000800
Training Epoch: 37 [37376/47500]	Loss: 0.3247	LR: 0.000800
Training Epoch: 37 [37632/47500]	Loss: 0.3338	LR: 0.000800
Training Epoch: 37 [37888/47500]	Loss: 0.2865	LR: 0.000800
Training Epoch: 37 [38144/47500]	Loss: 0.2699	LR: 0.000800
Training Epoch: 37 [38400/47500]	Loss: 0.2751	LR: 0.000800
Training Epoch: 37 [38656/47500]	Loss: 0.3228	LR: 0.000800
Training Epoch: 37 [38912/47500]	Loss: 0.3087	LR: 0.000800
Training Epoch: 37 [39168/47500]	Loss: 0.2566	LR: 0.000800
Training Epoch: 37 [39424/47500]	Loss: 0.3079	LR: 0.000800
Training Epoch: 37 [39680/47500]	Loss: 0.2518	LR: 0.000800
Training Epoch: 37 [39936/47500]	Loss: 0.3148	LR: 0.000800
Training Epoch: 37 [40192/47500]	Loss: 0.3782	LR: 0.000800
Training Epoch: 37 [40448/47500]	Loss: 0.2849	LR: 0.000800
Training Epoch: 37 [40704/47500]	Loss: 0.3529	LR: 0.000800
Training Epoch: 37 [40960/47500]	Loss: 0.3094	LR: 0.000800
Training Epoch: 37 [41216/47500]	Loss: 0.3180	LR: 0.000800
Training Epoch: 37 [41472/47500]	Loss: 0.3387	LR: 0.000800
Training Epoch: 37 [41728/47500]	Loss: 0.3103	LR: 0.000800
Training Epoch: 37 [41984/47500]	Loss: 0.3187	LR: 0.000800
Training Epoch: 37 [42240/47500]	Loss: 0.3622	LR: 0.000800
Training Epoch: 37 [42496/47500]	Loss: 0.3242	LR: 0.000800
Training Epoch: 37 [42752/47500]	Loss: 0.3060	LR: 0.000800
Training Epoch: 37 [43008/47500]	Loss: 0.3354	LR: 0.000800
Training Epoch: 37 [43264/47500]	Loss: 0.3764	LR: 0.000800
Training Epoch: 37 [43520/47500]	Loss: 0.3306	LR: 0.000800
Training Epoch: 37 [43776/47500]	Loss: 0.3081	LR: 0.000800
Training Epoch: 37 [44032/47500]	Loss: 0.2753	LR: 0.000800
Training Epoch: 37 [44288/47500]	Loss: 0.2828	LR: 0.000800
Training Epoch: 37 [44544/47500]	Loss: 0.2864	LR: 0.000800
Training Epoch: 37 [44800/47500]	Loss: 0.2609	LR: 0.000800
Training Epoch: 37 [45056/47500]	Loss: 0.3144	LR: 0.000800
Training Epoch: 37 [45312/47500]	Loss: 0.2550	LR: 0.000800
Training Epoch: 37 [45568/47500]	Loss: 0.2925	LR: 0.000800
Training Epoch: 37 [45824/47500]	Loss: 0.2964	LR: 0.000800
Training Epoch: 37 [46080/47500]	Loss: 0.2740	LR: 0.000800
Training Epoch: 37 [46336/47500]	Loss: 0.2908	LR: 0.000800
Training Epoch: 37 [46592/47500]	Loss: 0.2927	LR: 0.000800
Training Epoch: 37 [46848/47500]	Loss: 0.3352	LR: 0.000800
Training Epoch: 37 [47104/47500]	Loss: 0.2877	LR: 0.000800
Training Epoch: 37 [47360/47500]	Loss: 0.3775	LR: 0.000800
Training Epoch: 37 [47500/47500]	Loss: 0.2587	LR: 0.000800
Epoch 37 - Average Train Loss: 0.2947, Train Accuracy: 0.9128
Epoch 37 training time consumed: 25.97s
Evaluating Network.....
Test set: Epoch: 37, Average loss: 0.0030, Accuracy: 0.7832, Time consumed:0.92s
Training Epoch: 38 [256/47500]	Loss: 0.2934	LR: 0.000800
Training Epoch: 38 [512/47500]	Loss: 0.3941	LR: 0.000800
Training Epoch: 38 [768/47500]	Loss: 0.2789	LR: 0.000800
Training Epoch: 38 [1024/47500]	Loss: 0.2754	LR: 0.000800
Training Epoch: 38 [1280/47500]	Loss: 0.3256	LR: 0.000800
Training Epoch: 38 [1536/47500]	Loss: 0.2537	LR: 0.000800
Training Epoch: 38 [1792/47500]	Loss: 0.2564	LR: 0.000800
Training Epoch: 38 [2048/47500]	Loss: 0.2381	LR: 0.000800
Training Epoch: 38 [2304/47500]	Loss: 0.2526	LR: 0.000800
Training Epoch: 38 [2560/47500]	Loss: 0.3074	LR: 0.000800
Training Epoch: 38 [2816/47500]	Loss: 0.3172	LR: 0.000800
Training Epoch: 38 [3072/47500]	Loss: 0.3020	LR: 0.000800
Training Epoch: 38 [3328/47500]	Loss: 0.3257	LR: 0.000800
Training Epoch: 38 [3584/47500]	Loss: 0.3073	LR: 0.000800
Training Epoch: 38 [3840/47500]	Loss: 0.2782	LR: 0.000800
Training Epoch: 38 [4096/47500]	Loss: 0.3131	LR: 0.000800
Training Epoch: 38 [4352/47500]	Loss: 0.3000	LR: 0.000800
Training Epoch: 38 [4608/47500]	Loss: 0.3645	LR: 0.000800
Training Epoch: 38 [4864/47500]	Loss: 0.2586	LR: 0.000800
Training Epoch: 38 [5120/47500]	Loss: 0.3437	LR: 0.000800
Training Epoch: 38 [5376/47500]	Loss: 0.2867	LR: 0.000800
Training Epoch: 38 [5632/47500]	Loss: 0.3064	LR: 0.000800
Training Epoch: 38 [5888/47500]	Loss: 0.2996	LR: 0.000800
Training Epoch: 38 [6144/47500]	Loss: 0.2659	LR: 0.000800
Training Epoch: 38 [6400/47500]	Loss: 0.2988	LR: 0.000800
Training Epoch: 38 [6656/47500]	Loss: 0.2587	LR: 0.000800
Training Epoch: 38 [6912/47500]	Loss: 0.3274	LR: 0.000800
Training Epoch: 38 [7168/47500]	Loss: 0.2381	LR: 0.000800
Training Epoch: 38 [7424/47500]	Loss: 0.3321	LR: 0.000800
Training Epoch: 38 [7680/47500]	Loss: 0.2674	LR: 0.000800
Training Epoch: 38 [7936/47500]	Loss: 0.2871	LR: 0.000800
Training Epoch: 38 [8192/47500]	Loss: 0.3107	LR: 0.000800
Training Epoch: 38 [8448/47500]	Loss: 0.2822	LR: 0.000800
Training Epoch: 38 [8704/47500]	Loss: 0.3162	LR: 0.000800
Training Epoch: 38 [8960/47500]	Loss: 0.3152	LR: 0.000800
Training Epoch: 38 [9216/47500]	Loss: 0.2868	LR: 0.000800
Training Epoch: 38 [9472/47500]	Loss: 0.2738	LR: 0.000800
Training Epoch: 38 [9728/47500]	Loss: 0.2778	LR: 0.000800
Training Epoch: 38 [9984/47500]	Loss: 0.3229	LR: 0.000800
Training Epoch: 38 [10240/47500]	Loss: 0.2224	LR: 0.000800
Training Epoch: 38 [10496/47500]	Loss: 0.3067	LR: 0.000800
Training Epoch: 38 [10752/47500]	Loss: 0.2719	LR: 0.000800
Training Epoch: 38 [11008/47500]	Loss: 0.2746	LR: 0.000800
Training Epoch: 38 [11264/47500]	Loss: 0.2435	LR: 0.000800
Training Epoch: 38 [11520/47500]	Loss: 0.2705	LR: 0.000800
Training Epoch: 38 [11776/47500]	Loss: 0.2825	LR: 0.000800
Training Epoch: 38 [12032/47500]	Loss: 0.2892	LR: 0.000800
Training Epoch: 38 [12288/47500]	Loss: 0.3207	LR: 0.000800
Training Epoch: 38 [12544/47500]	Loss: 0.3218	LR: 0.000800
Training Epoch: 38 [12800/47500]	Loss: 0.2987	LR: 0.000800
Training Epoch: 38 [13056/47500]	Loss: 0.2745	LR: 0.000800
Training Epoch: 38 [13312/47500]	Loss: 0.2554	LR: 0.000800
Training Epoch: 38 [13568/47500]	Loss: 0.2828	LR: 0.000800
Training Epoch: 38 [13824/47500]	Loss: 0.2746	LR: 0.000800
Training Epoch: 38 [14080/47500]	Loss: 0.3047	LR: 0.000800
Training Epoch: 38 [14336/47500]	Loss: 0.3098	LR: 0.000800
Training Epoch: 38 [14592/47500]	Loss: 0.2218	LR: 0.000800
Training Epoch: 38 [14848/47500]	Loss: 0.3514	LR: 0.000800
Training Epoch: 38 [15104/47500]	Loss: 0.2862	LR: 0.000800
Training Epoch: 38 [15360/47500]	Loss: 0.2672	LR: 0.000800
Training Epoch: 38 [15616/47500]	Loss: 0.3236	LR: 0.000800
Training Epoch: 38 [15872/47500]	Loss: 0.3026	LR: 0.000800
Training Epoch: 38 [16128/47500]	Loss: 0.3021	LR: 0.000800
Training Epoch: 38 [16384/47500]	Loss: 0.2446	LR: 0.000800
Training Epoch: 38 [16640/47500]	Loss: 0.2326	LR: 0.000800
Training Epoch: 38 [16896/47500]	Loss: 0.2355	LR: 0.000800
Training Epoch: 38 [17152/47500]	Loss: 0.2690	LR: 0.000800
Training Epoch: 38 [17408/47500]	Loss: 0.3114	LR: 0.000800
Training Epoch: 38 [17664/47500]	Loss: 0.2840	LR: 0.000800
Training Epoch: 38 [17920/47500]	Loss: 0.4053	LR: 0.000800
Training Epoch: 38 [18176/47500]	Loss: 0.2889	LR: 0.000800
Training Epoch: 38 [18432/47500]	Loss: 0.2725	LR: 0.000800
Training Epoch: 38 [18688/47500]	Loss: 0.3494	LR: 0.000800
Training Epoch: 38 [18944/47500]	Loss: 0.2575	LR: 0.000800
Training Epoch: 38 [19200/47500]	Loss: 0.2887	LR: 0.000800
Training Epoch: 38 [19456/47500]	Loss: 0.2580	LR: 0.000800
Training Epoch: 38 [19712/47500]	Loss: 0.3651	LR: 0.000800
Training Epoch: 38 [19968/47500]	Loss: 0.2926	LR: 0.000800
Training Epoch: 38 [20224/47500]	Loss: 0.2800	LR: 0.000800
Training Epoch: 38 [20480/47500]	Loss: 0.2052	LR: 0.000800
Training Epoch: 38 [20736/47500]	Loss: 0.2463	LR: 0.000800
Training Epoch: 38 [20992/47500]	Loss: 0.2535	LR: 0.000800
Training Epoch: 38 [21248/47500]	Loss: 0.2772	LR: 0.000800
Training Epoch: 38 [21504/47500]	Loss: 0.2686	LR: 0.000800
Training Epoch: 38 [21760/47500]	Loss: 0.3212	LR: 0.000800
Training Epoch: 38 [22016/47500]	Loss: 0.2881	LR: 0.000800
Training Epoch: 38 [22272/47500]	Loss: 0.2044	LR: 0.000800
Training Epoch: 38 [22528/47500]	Loss: 0.3327	LR: 0.000800
Training Epoch: 38 [22784/47500]	Loss: 0.3277	LR: 0.000800
Training Epoch: 38 [23040/47500]	Loss: 0.2673	LR: 0.000800
Training Epoch: 38 [23296/47500]	Loss: 0.2800	LR: 0.000800
Training Epoch: 38 [23552/47500]	Loss: 0.3145	LR: 0.000800
Training Epoch: 38 [23808/47500]	Loss: 0.2357	LR: 0.000800
Training Epoch: 38 [24064/47500]	Loss: 0.3210	LR: 0.000800
Training Epoch: 38 [24320/47500]	Loss: 0.3105	LR: 0.000800
Training Epoch: 38 [24576/47500]	Loss: 0.2322	LR: 0.000800
Training Epoch: 38 [24832/47500]	Loss: 0.3698	LR: 0.000800
Training Epoch: 38 [25088/47500]	Loss: 0.3083	LR: 0.000800
Training Epoch: 38 [25344/47500]	Loss: 0.3542	LR: 0.000800
Training Epoch: 38 [25600/47500]	Loss: 0.3344	LR: 0.000800
Training Epoch: 38 [25856/47500]	Loss: 0.3711	LR: 0.000800
Training Epoch: 38 [26112/47500]	Loss: 0.2663	LR: 0.000800
Training Epoch: 38 [26368/47500]	Loss: 0.3031	LR: 0.000800
Training Epoch: 38 [26624/47500]	Loss: 0.2968	LR: 0.000800
Training Epoch: 38 [26880/47500]	Loss: 0.2809	LR: 0.000800
Training Epoch: 38 [27136/47500]	Loss: 0.2335	LR: 0.000800
Training Epoch: 38 [27392/47500]	Loss: 0.2826	LR: 0.000800
Training Epoch: 38 [27648/47500]	Loss: 0.2840	LR: 0.000800
Training Epoch: 38 [27904/47500]	Loss: 0.3694	LR: 0.000800
Training Epoch: 38 [28160/47500]	Loss: 0.2552	LR: 0.000800
Training Epoch: 38 [28416/47500]	Loss: 0.2837	LR: 0.000800
Training Epoch: 38 [28672/47500]	Loss: 0.2152	LR: 0.000800
Training Epoch: 38 [28928/47500]	Loss: 0.2651	LR: 0.000800
Training Epoch: 38 [29184/47500]	Loss: 0.2478	LR: 0.000800
Training Epoch: 38 [29440/47500]	Loss: 0.3074	LR: 0.000800
Training Epoch: 38 [29696/47500]	Loss: 0.2792	LR: 0.000800
Training Epoch: 38 [29952/47500]	Loss: 0.2422	LR: 0.000800
Training Epoch: 38 [30208/47500]	Loss: 0.2699	LR: 0.000800
Training Epoch: 38 [30464/47500]	Loss: 0.3448	LR: 0.000800
Training Epoch: 38 [30720/47500]	Loss: 0.2666	LR: 0.000800
Training Epoch: 38 [30976/47500]	Loss: 0.3614	LR: 0.000800
Training Epoch: 38 [31232/47500]	Loss: 0.2734	LR: 0.000800
Training Epoch: 38 [31488/47500]	Loss: 0.3075	LR: 0.000800
Training Epoch: 38 [31744/47500]	Loss: 0.3424	LR: 0.000800
Training Epoch: 38 [32000/47500]	Loss: 0.2625	LR: 0.000800
Training Epoch: 38 [32256/47500]	Loss: 0.3035	LR: 0.000800
Training Epoch: 38 [32512/47500]	Loss: 0.2880	LR: 0.000800
Training Epoch: 38 [32768/47500]	Loss: 0.3055	LR: 0.000800
Training Epoch: 38 [33024/47500]	Loss: 0.3262	LR: 0.000800
Training Epoch: 38 [33280/47500]	Loss: 0.2909	LR: 0.000800
Training Epoch: 38 [33536/47500]	Loss: 0.2394	LR: 0.000800
Training Epoch: 38 [33792/47500]	Loss: 0.2909	LR: 0.000800
Training Epoch: 38 [34048/47500]	Loss: 0.2553	LR: 0.000800
Training Epoch: 38 [34304/47500]	Loss: 0.2555	LR: 0.000800
Training Epoch: 38 [34560/47500]	Loss: 0.2759	LR: 0.000800
Training Epoch: 38 [34816/47500]	Loss: 0.2536	LR: 0.000800
Training Epoch: 38 [35072/47500]	Loss: 0.2435	LR: 0.000800
Training Epoch: 38 [35328/47500]	Loss: 0.2727	LR: 0.000800
Training Epoch: 38 [35584/47500]	Loss: 0.2303	LR: 0.000800
Training Epoch: 38 [35840/47500]	Loss: 0.2938	LR: 0.000800
Training Epoch: 38 [36096/47500]	Loss: 0.3592	LR: 0.000800
Training Epoch: 38 [36352/47500]	Loss: 0.3939	LR: 0.000800
Training Epoch: 38 [36608/47500]	Loss: 0.2837	LR: 0.000800
Training Epoch: 38 [36864/47500]	Loss: 0.3197	LR: 0.000800
Training Epoch: 38 [37120/47500]	Loss: 0.3091	LR: 0.000800
Training Epoch: 38 [37376/47500]	Loss: 0.2400	LR: 0.000800
Training Epoch: 38 [37632/47500]	Loss: 0.2454	LR: 0.000800
Training Epoch: 38 [37888/47500]	Loss: 0.2773	LR: 0.000800
Training Epoch: 38 [38144/47500]	Loss: 0.2686	LR: 0.000800
Training Epoch: 38 [38400/47500]	Loss: 0.2494	LR: 0.000800
Training Epoch: 38 [38656/47500]	Loss: 0.3207	LR: 0.000800
Training Epoch: 38 [38912/47500]	Loss: 0.2842	LR: 0.000800
Training Epoch: 38 [39168/47500]	Loss: 0.3135	LR: 0.000800
Training Epoch: 38 [39424/47500]	Loss: 0.2596	LR: 0.000800
Training Epoch: 38 [39680/47500]	Loss: 0.2728	LR: 0.000800
Training Epoch: 38 [39936/47500]	Loss: 0.3339	LR: 0.000800
Training Epoch: 38 [40192/47500]	Loss: 0.3284	LR: 0.000800
Training Epoch: 38 [40448/47500]	Loss: 0.3233	LR: 0.000800
Training Epoch: 38 [40704/47500]	Loss: 0.3315	LR: 0.000800
Training Epoch: 38 [40960/47500]	Loss: 0.3791	LR: 0.000800
Training Epoch: 38 [41216/47500]	Loss: 0.2694	LR: 0.000800
Training Epoch: 38 [41472/47500]	Loss: 0.3062	LR: 0.000800
Training Epoch: 38 [41728/47500]	Loss: 0.2625	LR: 0.000800
Training Epoch: 38 [41984/47500]	Loss: 0.2650	LR: 0.000800
Training Epoch: 38 [42240/47500]	Loss: 0.2497	LR: 0.000800
Training Epoch: 38 [42496/47500]	Loss: 0.3211	LR: 0.000800
Training Epoch: 38 [42752/47500]	Loss: 0.2664	LR: 0.000800
Training Epoch: 38 [43008/47500]	Loss: 0.2474	LR: 0.000800
Training Epoch: 38 [43264/47500]	Loss: 0.3238	LR: 0.000800
Training Epoch: 38 [43520/47500]	Loss: 0.3019	LR: 0.000800
Training Epoch: 38 [43776/47500]	Loss: 0.3869	LR: 0.000800
Training Epoch: 38 [44032/47500]	Loss: 0.2082	LR: 0.000800
Training Epoch: 38 [44288/47500]	Loss: 0.2910	LR: 0.000800
Training Epoch: 38 [44544/47500]	Loss: 0.3074	LR: 0.000800
Training Epoch: 38 [44800/47500]	Loss: 0.2745	LR: 0.000800
Training Epoch: 38 [45056/47500]	Loss: 0.3090	LR: 0.000800
Training Epoch: 38 [45312/47500]	Loss: 0.2933	LR: 0.000800
Training Epoch: 38 [45568/47500]	Loss: 0.3171	LR: 0.000800
Training Epoch: 38 [45824/47500]	Loss: 0.2378	LR: 0.000800
Training Epoch: 38 [46080/47500]	Loss: 0.2912	LR: 0.000800
Training Epoch: 38 [46336/47500]	Loss: 0.2620	LR: 0.000800
Training Epoch: 38 [46592/47500]	Loss: 0.3326	LR: 0.000800
Training Epoch: 38 [46848/47500]	Loss: 0.2861	LR: 0.000800
Training Epoch: 38 [47104/47500]	Loss: 0.3332	LR: 0.000800
Training Epoch: 38 [47360/47500]	Loss: 0.2798	LR: 0.000800
Training Epoch: 38 [47500/47500]	Loss: 0.4135	LR: 0.000800
Epoch 38 - Average Train Loss: 0.2909, Train Accuracy: 0.9135
Epoch 38 training time consumed: 25.30s
Evaluating Network.....
Test set: Epoch: 38, Average loss: 0.0029, Accuracy: 0.7849, Time consumed:0.89s
Training Epoch: 39 [256/47500]	Loss: 0.2356	LR: 0.000800
Training Epoch: 39 [512/47500]	Loss: 0.2339	LR: 0.000800
Training Epoch: 39 [768/47500]	Loss: 0.2799	LR: 0.000800
Training Epoch: 39 [1024/47500]	Loss: 0.2913	LR: 0.000800
Training Epoch: 39 [1280/47500]	Loss: 0.2418	LR: 0.000800
Training Epoch: 39 [1536/47500]	Loss: 0.2259	LR: 0.000800
Training Epoch: 39 [1792/47500]	Loss: 0.2789	LR: 0.000800
Training Epoch: 39 [2048/47500]	Loss: 0.2515	LR: 0.000800
Training Epoch: 39 [2304/47500]	Loss: 0.2337	LR: 0.000800
Training Epoch: 39 [2560/47500]	Loss: 0.2790	LR: 0.000800
Training Epoch: 39 [2816/47500]	Loss: 0.2641	LR: 0.000800
Training Epoch: 39 [3072/47500]	Loss: 0.3119	LR: 0.000800
Training Epoch: 39 [3328/47500]	Loss: 0.3165	LR: 0.000800
Training Epoch: 39 [3584/47500]	Loss: 0.3116	LR: 0.000800
Training Epoch: 39 [3840/47500]	Loss: 0.2116	LR: 0.000800
Training Epoch: 39 [4096/47500]	Loss: 0.2866	LR: 0.000800
Training Epoch: 39 [4352/47500]	Loss: 0.3061	LR: 0.000800
Training Epoch: 39 [4608/47500]	Loss: 0.2277	LR: 0.000800
Training Epoch: 39 [4864/47500]	Loss: 0.2333	LR: 0.000800
Training Epoch: 39 [5120/47500]	Loss: 0.2368	LR: 0.000800
Training Epoch: 39 [5376/47500]	Loss: 0.3164	LR: 0.000800
Training Epoch: 39 [5632/47500]	Loss: 0.3178	LR: 0.000800
Training Epoch: 39 [5888/47500]	Loss: 0.2598	LR: 0.000800
Training Epoch: 39 [6144/47500]	Loss: 0.2450	LR: 0.000800
Training Epoch: 39 [6400/47500]	Loss: 0.3510	LR: 0.000800
Training Epoch: 39 [6656/47500]	Loss: 0.2539	LR: 0.000800
Training Epoch: 39 [6912/47500]	Loss: 0.2742	LR: 0.000800
Training Epoch: 39 [7168/47500]	Loss: 0.3000	LR: 0.000800
Training Epoch: 39 [7424/47500]	Loss: 0.2399	LR: 0.000800
Training Epoch: 39 [7680/47500]	Loss: 0.2518	LR: 0.000800
Training Epoch: 39 [7936/47500]	Loss: 0.3617	LR: 0.000800
Training Epoch: 39 [8192/47500]	Loss: 0.2405	LR: 0.000800
Training Epoch: 39 [8448/47500]	Loss: 0.3061	LR: 0.000800
Training Epoch: 39 [8704/47500]	Loss: 0.2415	LR: 0.000800
Training Epoch: 39 [8960/47500]	Loss: 0.2591	LR: 0.000800
Training Epoch: 39 [9216/47500]	Loss: 0.3193	LR: 0.000800
Training Epoch: 39 [9472/47500]	Loss: 0.2747	LR: 0.000800
Training Epoch: 39 [9728/47500]	Loss: 0.2660	LR: 0.000800
Training Epoch: 39 [9984/47500]	Loss: 0.2662	LR: 0.000800
Training Epoch: 39 [10240/47500]	Loss: 0.3098	LR: 0.000800
Training Epoch: 39 [10496/47500]	Loss: 0.2801	LR: 0.000800
Training Epoch: 39 [10752/47500]	Loss: 0.3990	LR: 0.000800
Training Epoch: 39 [11008/47500]	Loss: 0.2577	LR: 0.000800
Training Epoch: 39 [11264/47500]	Loss: 0.2658	LR: 0.000800
Training Epoch: 39 [11520/47500]	Loss: 0.3368	LR: 0.000800
Training Epoch: 39 [11776/47500]	Loss: 0.2584	LR: 0.000800
Training Epoch: 39 [12032/47500]	Loss: 0.2232	LR: 0.000800
Training Epoch: 39 [12288/47500]	Loss: 0.3013	LR: 0.000800
Training Epoch: 39 [12544/47500]	Loss: 0.2815	LR: 0.000800
Training Epoch: 39 [12800/47500]	Loss: 0.3109	LR: 0.000800
Training Epoch: 39 [13056/47500]	Loss: 0.2778	LR: 0.000800
Training Epoch: 39 [13312/47500]	Loss: 0.2723	LR: 0.000800
Training Epoch: 39 [13568/47500]	Loss: 0.2908	LR: 0.000800
Training Epoch: 39 [13824/47500]	Loss: 0.3045	LR: 0.000800
Training Epoch: 39 [14080/47500]	Loss: 0.2388	LR: 0.000800
Training Epoch: 39 [14336/47500]	Loss: 0.2840	LR: 0.000800
Training Epoch: 39 [14592/47500]	Loss: 0.2975	LR: 0.000800
Training Epoch: 39 [14848/47500]	Loss: 0.2609	LR: 0.000800
Training Epoch: 39 [15104/47500]	Loss: 0.3340	LR: 0.000800
Training Epoch: 39 [15360/47500]	Loss: 0.3099	LR: 0.000800
Training Epoch: 39 [15616/47500]	Loss: 0.2662	LR: 0.000800
Training Epoch: 39 [15872/47500]	Loss: 0.2897	LR: 0.000800
Training Epoch: 39 [16128/47500]	Loss: 0.3193	LR: 0.000800
Training Epoch: 39 [16384/47500]	Loss: 0.3074	LR: 0.000800
Training Epoch: 39 [16640/47500]	Loss: 0.2413	LR: 0.000800
Training Epoch: 39 [16896/47500]	Loss: 0.2868	LR: 0.000800
Training Epoch: 39 [17152/47500]	Loss: 0.2748	LR: 0.000800
Training Epoch: 39 [17408/47500]	Loss: 0.2450	LR: 0.000800
Training Epoch: 39 [17664/47500]	Loss: 0.3442	LR: 0.000800
Training Epoch: 39 [17920/47500]	Loss: 0.2550	LR: 0.000800
Training Epoch: 39 [18176/47500]	Loss: 0.3271	LR: 0.000800
Training Epoch: 39 [18432/47500]	Loss: 0.3181	LR: 0.000800
Training Epoch: 39 [18688/47500]	Loss: 0.2790	LR: 0.000800
Training Epoch: 39 [18944/47500]	Loss: 0.2842	LR: 0.000800
Training Epoch: 39 [19200/47500]	Loss: 0.2827	LR: 0.000800
Training Epoch: 39 [19456/47500]	Loss: 0.3628	LR: 0.000800
Training Epoch: 39 [19712/47500]	Loss: 0.3058	LR: 0.000800
Training Epoch: 39 [19968/47500]	Loss: 0.2444	LR: 0.000800
Training Epoch: 39 [20224/47500]	Loss: 0.2995	LR: 0.000800
Training Epoch: 39 [20480/47500]	Loss: 0.3284	LR: 0.000800
Training Epoch: 39 [20736/47500]	Loss: 0.3185	LR: 0.000800
Training Epoch: 39 [20992/47500]	Loss: 0.2985	LR: 0.000800
Training Epoch: 39 [21248/47500]	Loss: 0.3289	LR: 0.000800
Training Epoch: 39 [21504/47500]	Loss: 0.3113	LR: 0.000800
Training Epoch: 39 [21760/47500]	Loss: 0.2514	LR: 0.000800
Training Epoch: 39 [22016/47500]	Loss: 0.2397	LR: 0.000800
Training Epoch: 39 [22272/47500]	Loss: 0.2888	LR: 0.000800
Training Epoch: 39 [22528/47500]	Loss: 0.2744	LR: 0.000800
Training Epoch: 39 [22784/47500]	Loss: 0.2847	LR: 0.000800
Training Epoch: 39 [23040/47500]	Loss: 0.3118	LR: 0.000800
Training Epoch: 39 [23296/47500]	Loss: 0.2953	LR: 0.000800
Training Epoch: 39 [23552/47500]	Loss: 0.2359	LR: 0.000800
Training Epoch: 39 [23808/47500]	Loss: 0.2783	LR: 0.000800
Training Epoch: 39 [24064/47500]	Loss: 0.3373	LR: 0.000800
Training Epoch: 39 [24320/47500]	Loss: 0.2533	LR: 0.000800
Training Epoch: 39 [24576/47500]	Loss: 0.3106	LR: 0.000800
Training Epoch: 39 [24832/47500]	Loss: 0.2504	LR: 0.000800
Training Epoch: 39 [25088/47500]	Loss: 0.3573	LR: 0.000800
Training Epoch: 39 [25344/47500]	Loss: 0.2690	LR: 0.000800
Training Epoch: 39 [25600/47500]	Loss: 0.3206	LR: 0.000800
Training Epoch: 39 [25856/47500]	Loss: 0.3437	LR: 0.000800
Training Epoch: 39 [26112/47500]	Loss: 0.3103	LR: 0.000800
Training Epoch: 39 [26368/47500]	Loss: 0.2881	LR: 0.000800
Training Epoch: 39 [26624/47500]	Loss: 0.2842	LR: 0.000800
Training Epoch: 39 [26880/47500]	Loss: 0.2897	LR: 0.000800
Training Epoch: 39 [27136/47500]	Loss: 0.2883	LR: 0.000800
Training Epoch: 39 [27392/47500]	Loss: 0.2301	LR: 0.000800
Training Epoch: 39 [27648/47500]	Loss: 0.2644	LR: 0.000800
Training Epoch: 39 [27904/47500]	Loss: 0.3284	LR: 0.000800
Training Epoch: 39 [28160/47500]	Loss: 0.2931	LR: 0.000800
Training Epoch: 39 [28416/47500]	Loss: 0.2900	LR: 0.000800
Training Epoch: 39 [28672/47500]	Loss: 0.3435	LR: 0.000800
Training Epoch: 39 [28928/47500]	Loss: 0.2413	LR: 0.000800
Training Epoch: 39 [29184/47500]	Loss: 0.2509	LR: 0.000800
Training Epoch: 39 [29440/47500]	Loss: 0.3221	LR: 0.000800
Training Epoch: 39 [29696/47500]	Loss: 0.2419	LR: 0.000800
Training Epoch: 39 [29952/47500]	Loss: 0.3536	LR: 0.000800
Training Epoch: 39 [30208/47500]	Loss: 0.2846	LR: 0.000800
Training Epoch: 39 [30464/47500]	Loss: 0.2599	LR: 0.000800
Training Epoch: 39 [30720/47500]	Loss: 0.3019	LR: 0.000800
Training Epoch: 39 [30976/47500]	Loss: 0.2971	LR: 0.000800
Training Epoch: 39 [31232/47500]	Loss: 0.2902	LR: 0.000800
Training Epoch: 39 [31488/47500]	Loss: 0.2502	LR: 0.000800
Training Epoch: 39 [31744/47500]	Loss: 0.2997	LR: 0.000800
Training Epoch: 39 [32000/47500]	Loss: 0.2596	LR: 0.000800
Training Epoch: 39 [32256/47500]	Loss: 0.3480	LR: 0.000800
Training Epoch: 39 [32512/47500]	Loss: 0.2822	LR: 0.000800
Training Epoch: 39 [32768/47500]	Loss: 0.2631	LR: 0.000800
Training Epoch: 39 [33024/47500]	Loss: 0.3736	LR: 0.000800
Training Epoch: 39 [33280/47500]	Loss: 0.3407	LR: 0.000800
Training Epoch: 39 [33536/47500]	Loss: 0.3209	LR: 0.000800
Training Epoch: 39 [33792/47500]	Loss: 0.3078	LR: 0.000800
Training Epoch: 39 [34048/47500]	Loss: 0.3311	LR: 0.000800
Training Epoch: 39 [34304/47500]	Loss: 0.2721	LR: 0.000800
Training Epoch: 39 [34560/47500]	Loss: 0.2172	LR: 0.000800
Training Epoch: 39 [34816/47500]	Loss: 0.2240	LR: 0.000800
Training Epoch: 39 [35072/47500]	Loss: 0.2863	LR: 0.000800
Training Epoch: 39 [35328/47500]	Loss: 0.3324	LR: 0.000800
Training Epoch: 39 [35584/47500]	Loss: 0.3053	LR: 0.000800
Training Epoch: 39 [35840/47500]	Loss: 0.2208	LR: 0.000800
Training Epoch: 39 [36096/47500]	Loss: 0.3744	LR: 0.000800
Training Epoch: 39 [36352/47500]	Loss: 0.2720	LR: 0.000800
Training Epoch: 39 [36608/47500]	Loss: 0.2344	LR: 0.000800
Training Epoch: 39 [36864/47500]	Loss: 0.2889	LR: 0.000800
Training Epoch: 39 [37120/47500]	Loss: 0.2403	LR: 0.000800
Training Epoch: 39 [37376/47500]	Loss: 0.3088	LR: 0.000800
Training Epoch: 39 [37632/47500]	Loss: 0.2448	LR: 0.000800
Training Epoch: 39 [37888/47500]	Loss: 0.3255	LR: 0.000800
Training Epoch: 39 [38144/47500]	Loss: 0.3118	LR: 0.000800
Training Epoch: 39 [38400/47500]	Loss: 0.2692	LR: 0.000800
Training Epoch: 39 [38656/47500]	Loss: 0.3326	LR: 0.000800
Training Epoch: 39 [38912/47500]	Loss: 0.2873	LR: 0.000800
Training Epoch: 39 [39168/47500]	Loss: 0.2509	LR: 0.000800
Training Epoch: 39 [39424/47500]	Loss: 0.2813	LR: 0.000800
Training Epoch: 39 [39680/47500]	Loss: 0.3018	LR: 0.000800
Training Epoch: 39 [39936/47500]	Loss: 0.2782	LR: 0.000800
Training Epoch: 39 [40192/47500]	Loss: 0.2356	LR: 0.000800
Training Epoch: 39 [40448/47500]	Loss: 0.2895	LR: 0.000800
Training Epoch: 39 [40704/47500]	Loss: 0.3143	LR: 0.000800
Training Epoch: 39 [40960/47500]	Loss: 0.2499	LR: 0.000800
Training Epoch: 39 [41216/47500]	Loss: 0.2701	LR: 0.000800
Training Epoch: 39 [41472/47500]	Loss: 0.2604	LR: 0.000800
Training Epoch: 39 [41728/47500]	Loss: 0.3371	LR: 0.000800
Training Epoch: 39 [41984/47500]	Loss: 0.2879	LR: 0.000800
Training Epoch: 39 [42240/47500]	Loss: 0.2832	LR: 0.000800
Training Epoch: 39 [42496/47500]	Loss: 0.3077	LR: 0.000800
Training Epoch: 39 [42752/47500]	Loss: 0.3360	LR: 0.000800
Training Epoch: 39 [43008/47500]	Loss: 0.2666	LR: 0.000800
Training Epoch: 39 [43264/47500]	Loss: 0.2627	LR: 0.000800
Training Epoch: 39 [43520/47500]	Loss: 0.3518	LR: 0.000800
Training Epoch: 39 [43776/47500]	Loss: 0.3437	LR: 0.000800
Training Epoch: 39 [44032/47500]	Loss: 0.3173	LR: 0.000800
Training Epoch: 39 [44288/47500]	Loss: 0.3143	LR: 0.000800
Training Epoch: 39 [44544/47500]	Loss: 0.2025	LR: 0.000800
Training Epoch: 39 [44800/47500]	Loss: 0.2190	LR: 0.000800
Training Epoch: 39 [45056/47500]	Loss: 0.3352	LR: 0.000800
Training Epoch: 39 [45312/47500]	Loss: 0.2458	LR: 0.000800
Training Epoch: 39 [45568/47500]	Loss: 0.2474	LR: 0.000800
Training Epoch: 39 [45824/47500]	Loss: 0.3203	LR: 0.000800
Training Epoch: 39 [46080/47500]	Loss: 0.3065	LR: 0.000800
Training Epoch: 39 [46336/47500]	Loss: 0.2688	LR: 0.000800
Training Epoch: 39 [46592/47500]	Loss: 0.3153	LR: 0.000800
Training Epoch: 39 [46848/47500]	Loss: 0.2360	LR: 0.000800
Training Epoch: 39 [47104/47500]	Loss: 0.2460	LR: 0.000800
Training Epoch: 39 [47360/47500]	Loss: 0.2996	LR: 0.000800
Training Epoch: 39 [47500/47500]	Loss: 0.3134	LR: 0.000800
Epoch 39 - Average Train Loss: 0.2859, Train Accuracy: 0.9161
Epoch 39 training time consumed: 25.56s
Evaluating Network.....
Test set: Epoch: 39, Average loss: 0.0030, Accuracy: 0.7851, Time consumed:0.87s
Training Epoch: 40 [256/47500]	Loss: 0.3052	LR: 0.000800
Training Epoch: 40 [512/47500]	Loss: 0.2185	LR: 0.000800
Training Epoch: 40 [768/47500]	Loss: 0.2819	LR: 0.000800
Training Epoch: 40 [1024/47500]	Loss: 0.3349	LR: 0.000800
Training Epoch: 40 [1280/47500]	Loss: 0.2688	LR: 0.000800
Training Epoch: 40 [1536/47500]	Loss: 0.2256	LR: 0.000800
Training Epoch: 40 [1792/47500]	Loss: 0.2972	LR: 0.000800
Training Epoch: 40 [2048/47500]	Loss: 0.2189	LR: 0.000800
Training Epoch: 40 [2304/47500]	Loss: 0.3135	LR: 0.000800
Training Epoch: 40 [2560/47500]	Loss: 0.2719	LR: 0.000800
Training Epoch: 40 [2816/47500]	Loss: 0.2597	LR: 0.000800
Training Epoch: 40 [3072/47500]	Loss: 0.2543	LR: 0.000800
Training Epoch: 40 [3328/47500]	Loss: 0.2563	LR: 0.000800
Training Epoch: 40 [3584/47500]	Loss: 0.2352	LR: 0.000800
Training Epoch: 40 [3840/47500]	Loss: 0.3171	LR: 0.000800
Training Epoch: 40 [4096/47500]	Loss: 0.3054	LR: 0.000800
Training Epoch: 40 [4352/47500]	Loss: 0.3605	LR: 0.000800
Training Epoch: 40 [4608/47500]	Loss: 0.2969	LR: 0.000800
Training Epoch: 40 [4864/47500]	Loss: 0.2990	LR: 0.000800
Training Epoch: 40 [5120/47500]	Loss: 0.2741	LR: 0.000800
Training Epoch: 40 [5376/47500]	Loss: 0.2718	LR: 0.000800
Training Epoch: 40 [5632/47500]	Loss: 0.3137	LR: 0.000800
Training Epoch: 40 [5888/47500]	Loss: 0.3314	LR: 0.000800
Training Epoch: 40 [6144/47500]	Loss: 0.3019	LR: 0.000800
Training Epoch: 40 [6400/47500]	Loss: 0.2795	LR: 0.000800
Training Epoch: 40 [6656/47500]	Loss: 0.2665	LR: 0.000800
Training Epoch: 40 [6912/47500]	Loss: 0.2943	LR: 0.000800
Training Epoch: 40 [7168/47500]	Loss: 0.2670	LR: 0.000800
Training Epoch: 40 [7424/47500]	Loss: 0.2572	LR: 0.000800
Training Epoch: 40 [7680/47500]	Loss: 0.3458	LR: 0.000800
Training Epoch: 40 [7936/47500]	Loss: 0.2847	LR: 0.000800
Training Epoch: 40 [8192/47500]	Loss: 0.3481	LR: 0.000800
Training Epoch: 40 [8448/47500]	Loss: 0.3283	LR: 0.000800
Training Epoch: 40 [8704/47500]	Loss: 0.2133	LR: 0.000800
Training Epoch: 40 [8960/47500]	Loss: 0.2464	LR: 0.000800
Training Epoch: 40 [9216/47500]	Loss: 0.3203	LR: 0.000800
Training Epoch: 40 [9472/47500]	Loss: 0.3529	LR: 0.000800
Training Epoch: 40 [9728/47500]	Loss: 0.2645	LR: 0.000800
Training Epoch: 40 [9984/47500]	Loss: 0.2489	LR: 0.000800
Training Epoch: 40 [10240/47500]	Loss: 0.2782	LR: 0.000800
Training Epoch: 40 [10496/47500]	Loss: 0.2358	LR: 0.000800
Training Epoch: 40 [10752/47500]	Loss: 0.2565	LR: 0.000800
Training Epoch: 40 [11008/47500]	Loss: 0.3194	LR: 0.000800
Training Epoch: 40 [11264/47500]	Loss: 0.3120	LR: 0.000800
Training Epoch: 40 [11520/47500]	Loss: 0.2714	LR: 0.000800
Training Epoch: 40 [11776/47500]	Loss: 0.2695	LR: 0.000800
Training Epoch: 40 [12032/47500]	Loss: 0.2843	LR: 0.000800
Training Epoch: 40 [12288/47500]	Loss: 0.2913	LR: 0.000800
Training Epoch: 40 [12544/47500]	Loss: 0.2455	LR: 0.000800
Training Epoch: 40 [12800/47500]	Loss: 0.2593	LR: 0.000800
Training Epoch: 40 [13056/47500]	Loss: 0.3528	LR: 0.000800
Training Epoch: 40 [13312/47500]	Loss: 0.2909	LR: 0.000800
Training Epoch: 40 [13568/47500]	Loss: 0.3442	LR: 0.000800
Training Epoch: 40 [13824/47500]	Loss: 0.2174	LR: 0.000800
Training Epoch: 40 [14080/47500]	Loss: 0.3476	LR: 0.000800
Training Epoch: 40 [14336/47500]	Loss: 0.2912	LR: 0.000800
Training Epoch: 40 [14592/47500]	Loss: 0.2482	LR: 0.000800
Training Epoch: 40 [14848/47500]	Loss: 0.3017	LR: 0.000800
Training Epoch: 40 [15104/47500]	Loss: 0.3223	LR: 0.000800
Training Epoch: 40 [15360/47500]	Loss: 0.3290	LR: 0.000800
Training Epoch: 40 [15616/47500]	Loss: 0.2483	LR: 0.000800
Training Epoch: 40 [15872/47500]	Loss: 0.2974	LR: 0.000800
Training Epoch: 40 [16128/47500]	Loss: 0.2910	LR: 0.000800
Training Epoch: 40 [16384/47500]	Loss: 0.2770	LR: 0.000800
Training Epoch: 40 [16640/47500]	Loss: 0.2816	LR: 0.000800
Training Epoch: 40 [16896/47500]	Loss: 0.2812	LR: 0.000800
Training Epoch: 40 [17152/47500]	Loss: 0.2348	LR: 0.000800
Training Epoch: 40 [17408/47500]	Loss: 0.3039	LR: 0.000800
Training Epoch: 40 [17664/47500]	Loss: 0.3085	LR: 0.000800
Training Epoch: 40 [17920/47500]	Loss: 0.3316	LR: 0.000800
Training Epoch: 40 [18176/47500]	Loss: 0.2532	LR: 0.000800
Training Epoch: 40 [18432/47500]	Loss: 0.2631	LR: 0.000800
Training Epoch: 40 [18688/47500]	Loss: 0.2736	LR: 0.000800
Training Epoch: 40 [18944/47500]	Loss: 0.2422	LR: 0.000800
Training Epoch: 40 [19200/47500]	Loss: 0.2964	LR: 0.000800
Training Epoch: 40 [19456/47500]	Loss: 0.2833	LR: 0.000800
Training Epoch: 40 [19712/47500]	Loss: 0.2816	LR: 0.000800
Training Epoch: 40 [19968/47500]	Loss: 0.2885	LR: 0.000800
Training Epoch: 40 [20224/47500]	Loss: 0.2816	LR: 0.000800
Training Epoch: 40 [20480/47500]	Loss: 0.3623	LR: 0.000800
Training Epoch: 40 [20736/47500]	Loss: 0.2738	LR: 0.000800
Training Epoch: 40 [20992/47500]	Loss: 0.3000	LR: 0.000800
Training Epoch: 40 [21248/47500]	Loss: 0.2532	LR: 0.000800
Training Epoch: 40 [21504/47500]	Loss: 0.2504	LR: 0.000800
Training Epoch: 40 [21760/47500]	Loss: 0.2948	LR: 0.000800
Training Epoch: 40 [22016/47500]	Loss: 0.2795	LR: 0.000800
Training Epoch: 40 [22272/47500]	Loss: 0.2424	LR: 0.000800
Training Epoch: 40 [22528/47500]	Loss: 0.2771	LR: 0.000800
Training Epoch: 40 [22784/47500]	Loss: 0.2708	LR: 0.000800
Training Epoch: 40 [23040/47500]	Loss: 0.2193	LR: 0.000800
Training Epoch: 40 [23296/47500]	Loss: 0.3278	LR: 0.000800
Training Epoch: 40 [23552/47500]	Loss: 0.3170	LR: 0.000800
Training Epoch: 40 [23808/47500]	Loss: 0.2442	LR: 0.000800
Training Epoch: 40 [24064/47500]	Loss: 0.2697	LR: 0.000800
Training Epoch: 40 [24320/47500]	Loss: 0.3155	LR: 0.000800
Training Epoch: 40 [24576/47500]	Loss: 0.2352	LR: 0.000800
Training Epoch: 40 [24832/47500]	Loss: 0.3037	LR: 0.000800
Training Epoch: 40 [25088/47500]	Loss: 0.1994	LR: 0.000800
Training Epoch: 40 [25344/47500]	Loss: 0.2761	LR: 0.000800
Training Epoch: 40 [25600/47500]	Loss: 0.2232	LR: 0.000800
Training Epoch: 40 [25856/47500]	Loss: 0.2536	LR: 0.000800
Training Epoch: 40 [26112/47500]	Loss: 0.3000	LR: 0.000800
Training Epoch: 40 [26368/47500]	Loss: 0.3007	LR: 0.000800
Training Epoch: 40 [26624/47500]	Loss: 0.2726	LR: 0.000800
Training Epoch: 40 [26880/47500]	Loss: 0.2986	LR: 0.000800
Training Epoch: 40 [27136/47500]	Loss: 0.2588	LR: 0.000800
Training Epoch: 40 [27392/47500]	Loss: 0.2625	LR: 0.000800
Training Epoch: 40 [27648/47500]	Loss: 0.2393	LR: 0.000800
Training Epoch: 40 [27904/47500]	Loss: 0.2527	LR: 0.000800
Training Epoch: 40 [28160/47500]	Loss: 0.2864	LR: 0.000800
Training Epoch: 40 [28416/47500]	Loss: 0.2780	LR: 0.000800
Training Epoch: 40 [28672/47500]	Loss: 0.1934	LR: 0.000800
Training Epoch: 40 [28928/47500]	Loss: 0.2714	LR: 0.000800
Training Epoch: 40 [29184/47500]	Loss: 0.2411	LR: 0.000800
Training Epoch: 40 [29440/47500]	Loss: 0.2795	LR: 0.000800
Training Epoch: 40 [29696/47500]	Loss: 0.3303	LR: 0.000800
Training Epoch: 40 [29952/47500]	Loss: 0.2516	LR: 0.000800
Training Epoch: 40 [30208/47500]	Loss: 0.2075	LR: 0.000800
Training Epoch: 40 [30464/47500]	Loss: 0.2402	LR: 0.000800
Training Epoch: 40 [30720/47500]	Loss: 0.2530	LR: 0.000800
Training Epoch: 40 [30976/47500]	Loss: 0.2922	LR: 0.000800
Training Epoch: 40 [31232/47500]	Loss: 0.2414	LR: 0.000800
Training Epoch: 40 [31488/47500]	Loss: 0.3225	LR: 0.000800
Training Epoch: 40 [31744/47500]	Loss: 0.1945	LR: 0.000800
Training Epoch: 40 [32000/47500]	Loss: 0.2803	LR: 0.000800
Training Epoch: 40 [32256/47500]	Loss: 0.2806	LR: 0.000800
Training Epoch: 40 [32512/47500]	Loss: 0.3298	LR: 0.000800
Training Epoch: 40 [32768/47500]	Loss: 0.2478	LR: 0.000800
Training Epoch: 40 [33024/47500]	Loss: 0.2701	LR: 0.000800
Training Epoch: 40 [33280/47500]	Loss: 0.2375	LR: 0.000800
Training Epoch: 40 [33536/47500]	Loss: 0.2610	LR: 0.000800
Training Epoch: 40 [33792/47500]	Loss: 0.3480	LR: 0.000800
Training Epoch: 40 [34048/47500]	Loss: 0.2630	LR: 0.000800
Training Epoch: 40 [34304/47500]	Loss: 0.2594	LR: 0.000800
Training Epoch: 40 [34560/47500]	Loss: 0.3158	LR: 0.000800
Training Epoch: 40 [34816/47500]	Loss: 0.3381	LR: 0.000800
Training Epoch: 40 [35072/47500]	Loss: 0.3219	LR: 0.000800
Training Epoch: 40 [35328/47500]	Loss: 0.2955	LR: 0.000800
Training Epoch: 40 [35584/47500]	Loss: 0.2333	LR: 0.000800
Training Epoch: 40 [35840/47500]	Loss: 0.2227	LR: 0.000800
Training Epoch: 40 [36096/47500]	Loss: 0.2942	LR: 0.000800
Training Epoch: 40 [36352/47500]	Loss: 0.3268	LR: 0.000800
Training Epoch: 40 [36608/47500]	Loss: 0.3189	LR: 0.000800
Training Epoch: 40 [36864/47500]	Loss: 0.2551	LR: 0.000800
Training Epoch: 40 [37120/47500]	Loss: 0.3149	LR: 0.000800
Training Epoch: 40 [37376/47500]	Loss: 0.3297	LR: 0.000800
Training Epoch: 40 [37632/47500]	Loss: 0.2620	LR: 0.000800
Training Epoch: 40 [37888/47500]	Loss: 0.2742	LR: 0.000800
Training Epoch: 40 [38144/47500]	Loss: 0.3294	LR: 0.000800
Training Epoch: 40 [38400/47500]	Loss: 0.3382	LR: 0.000800
Training Epoch: 40 [38656/47500]	Loss: 0.2798	LR: 0.000800
Training Epoch: 40 [38912/47500]	Loss: 0.2930	LR: 0.000800
Training Epoch: 40 [39168/47500]	Loss: 0.2294	LR: 0.000800
Training Epoch: 40 [39424/47500]	Loss: 0.2417	LR: 0.000800
Training Epoch: 40 [39680/47500]	Loss: 0.2155	LR: 0.000800
Training Epoch: 40 [39936/47500]	Loss: 0.3506	LR: 0.000800
Training Epoch: 40 [40192/47500]	Loss: 0.3268	LR: 0.000800
Training Epoch: 40 [40448/47500]	Loss: 0.2913	LR: 0.000800
Training Epoch: 40 [40704/47500]	Loss: 0.2367	LR: 0.000800
Training Epoch: 40 [40960/47500]	Loss: 0.2284	LR: 0.000800
Training Epoch: 40 [41216/47500]	Loss: 0.3125	LR: 0.000800
Training Epoch: 40 [41472/47500]	Loss: 0.2551	LR: 0.000800
Training Epoch: 40 [41728/47500]	Loss: 0.3021	LR: 0.000800
Training Epoch: 40 [41984/47500]	Loss: 0.2881	LR: 0.000800
Training Epoch: 40 [42240/47500]	Loss: 0.2959	LR: 0.000800
Training Epoch: 40 [42496/47500]	Loss: 0.3126	LR: 0.000800
Training Epoch: 40 [42752/47500]	Loss: 0.2714	LR: 0.000800
Training Epoch: 40 [43008/47500]	Loss: 0.3562	LR: 0.000800
Training Epoch: 40 [43264/47500]	Loss: 0.3092	LR: 0.000800
Training Epoch: 40 [43520/47500]	Loss: 0.3717	LR: 0.000800
Training Epoch: 40 [43776/47500]	Loss: 0.2931	LR: 0.000800
Training Epoch: 40 [44032/47500]	Loss: 0.2965	LR: 0.000800
Training Epoch: 40 [44288/47500]	Loss: 0.2567	LR: 0.000800
Training Epoch: 40 [44544/47500]	Loss: 0.3095	LR: 0.000800
Training Epoch: 40 [44800/47500]	Loss: 0.2856	LR: 0.000800
Training Epoch: 40 [45056/47500]	Loss: 0.3108	LR: 0.000800
Training Epoch: 40 [45312/47500]	Loss: 0.2569	LR: 0.000800
Training Epoch: 40 [45568/47500]	Loss: 0.2857	LR: 0.000800
Training Epoch: 40 [45824/47500]	Loss: 0.2967	LR: 0.000800
Training Epoch: 40 [46080/47500]	Loss: 0.3566	LR: 0.000800
Training Epoch: 40 [46336/47500]	Loss: 0.2630	LR: 0.000800
Training Epoch: 40 [46592/47500]	Loss: 0.2669	LR: 0.000800
Training Epoch: 40 [46848/47500]	Loss: 0.3329	LR: 0.000800
Training Epoch: 40 [47104/47500]	Loss: 0.3241	LR: 0.000800
Training Epoch: 40 [47360/47500]	Loss: 0.3762	LR: 0.000800
Training Epoch: 40 [47500/47500]	Loss: 0.3396	LR: 0.000800
Epoch 40 - Average Train Loss: 0.2834, Train Accuracy: 0.9144
Epoch 40 training time consumed: 25.55s
Evaluating Network.....
Test set: Epoch: 40, Average loss: 0.0030, Accuracy: 0.7843, Time consumed:0.95s
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: 78.49609375
Retain Accuracy: 92.05399322509766
Zero-Retain Forget (ZRF): 0.9150157570838928
Membership Inference Attack (MIA): 0.4524
Forget vs Retain Membership Inference Attack (MIA): 0.528
Forget vs Test Membership Inference Attack (MIA): 0.551
Test vs Retain Membership Inference Attack (MIA): 0.49
Train vs Test Membership Inference Attack (MIA): 0.55825
Forget Set Accuracy (Df): 76.93797302246094
Method Execution Time: 1552.89 seconds
