
📌 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

📌 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: 3.1579	LR: 0.000000
Training Epoch: 1 [512/47500]	Loss: 3.1658	LR: 0.000538
Training Epoch: 1 [768/47500]	Loss: 3.0792	LR: 0.001075
Training Epoch: 1 [1024/47500]	Loss: 3.0755	LR: 0.001613
Training Epoch: 1 [1280/47500]	Loss: 3.0720	LR: 0.002151
Training Epoch: 1 [1536/47500]	Loss: 3.0445	LR: 0.002688
Training Epoch: 1 [1792/47500]	Loss: 2.9915	LR: 0.003226
Training Epoch: 1 [2048/47500]	Loss: 2.9540	LR: 0.003763
Training Epoch: 1 [2304/47500]	Loss: 2.9458	LR: 0.004301
Training Epoch: 1 [2560/47500]	Loss: 2.9382	LR: 0.004839
Training Epoch: 1 [2816/47500]	Loss: 2.9438	LR: 0.005376
Training Epoch: 1 [3072/47500]	Loss: 2.9256	LR: 0.005914
Training Epoch: 1 [3328/47500]	Loss: 2.9012	LR: 0.006452
Training Epoch: 1 [3584/47500]	Loss: 2.8780	LR: 0.006989
Training Epoch: 1 [3840/47500]	Loss: 2.8981	LR: 0.007527
Training Epoch: 1 [4096/47500]	Loss: 2.8620	LR: 0.008065
Training Epoch: 1 [4352/47500]	Loss: 2.7968	LR: 0.008602
Training Epoch: 1 [4608/47500]	Loss: 2.7926	LR: 0.009140
Training Epoch: 1 [4864/47500]	Loss: 2.9166	LR: 0.009677
Training Epoch: 1 [5120/47500]	Loss: 2.7570	LR: 0.010215
Training Epoch: 1 [5376/47500]	Loss: 2.7243	LR: 0.010753
Training Epoch: 1 [5632/47500]	Loss: 2.7394	LR: 0.011290
Training Epoch: 1 [5888/47500]	Loss: 2.8802	LR: 0.011828
Training Epoch: 1 [6144/47500]	Loss: 2.7701	LR: 0.012366
Training Epoch: 1 [6400/47500]	Loss: 2.7421	LR: 0.012903
Training Epoch: 1 [6656/47500]	Loss: 2.8382	LR: 0.013441
Training Epoch: 1 [6912/47500]	Loss: 2.6648	LR: 0.013978
Training Epoch: 1 [7168/47500]	Loss: 2.6845	LR: 0.014516
Training Epoch: 1 [7424/47500]	Loss: 2.6590	LR: 0.015054
Training Epoch: 1 [7680/47500]	Loss: 2.5551	LR: 0.015591
Training Epoch: 1 [7936/47500]	Loss: 2.5078	LR: 0.016129
Training Epoch: 1 [8192/47500]	Loss: 2.5677	LR: 0.016667
Training Epoch: 1 [8448/47500]	Loss: 2.6546	LR: 0.017204
Training Epoch: 1 [8704/47500]	Loss: 2.6058	LR: 0.017742
Training Epoch: 1 [8960/47500]	Loss: 2.6836	LR: 0.018280
Training Epoch: 1 [9216/47500]	Loss: 2.6191	LR: 0.018817
Training Epoch: 1 [9472/47500]	Loss: 2.5222	LR: 0.019355
Training Epoch: 1 [9728/47500]	Loss: 2.5680	LR: 0.019892
Training Epoch: 1 [9984/47500]	Loss: 2.5481	LR: 0.020430
Training Epoch: 1 [10240/47500]	Loss: 2.6789	LR: 0.020968
Training Epoch: 1 [10496/47500]	Loss: 2.7271	LR: 0.021505
Training Epoch: 1 [10752/47500]	Loss: 2.5695	LR: 0.022043
Training Epoch: 1 [11008/47500]	Loss: 2.5867	LR: 0.022581
Training Epoch: 1 [11264/47500]	Loss: 2.5517	LR: 0.023118
Training Epoch: 1 [11520/47500]	Loss: 2.7766	LR: 0.023656
Training Epoch: 1 [11776/47500]	Loss: 2.5612	LR: 0.024194
Training Epoch: 1 [12032/47500]	Loss: 2.5655	LR: 0.024731
Training Epoch: 1 [12288/47500]	Loss: 2.7604	LR: 0.025269
Training Epoch: 1 [12544/47500]	Loss: 2.6630	LR: 0.025806
Training Epoch: 1 [12800/47500]	Loss: 2.7377	LR: 0.026344
Training Epoch: 1 [13056/47500]	Loss: 2.7183	LR: 0.026882
Training Epoch: 1 [13312/47500]	Loss: 2.5876	LR: 0.027419
Training Epoch: 1 [13568/47500]	Loss: 2.6204	LR: 0.027957
Training Epoch: 1 [13824/47500]	Loss: 2.7143	LR: 0.028495
Training Epoch: 1 [14080/47500]	Loss: 2.7484	LR: 0.029032
Training Epoch: 1 [14336/47500]	Loss: 2.5853	LR: 0.029570
Training Epoch: 1 [14592/47500]	Loss: 2.5445	LR: 0.030108
Training Epoch: 1 [14848/47500]	Loss: 2.5632	LR: 0.030645
Training Epoch: 1 [15104/47500]	Loss: 2.6052	LR: 0.031183
Training Epoch: 1 [15360/47500]	Loss: 2.6182	LR: 0.031720
Training Epoch: 1 [15616/47500]	Loss: 2.6481	LR: 0.032258
Training Epoch: 1 [15872/47500]	Loss: 2.6224	LR: 0.032796
Training Epoch: 1 [16128/47500]	Loss: 2.6157	LR: 0.033333
Training Epoch: 1 [16384/47500]	Loss: 2.5145	LR: 0.033871
Training Epoch: 1 [16640/47500]	Loss: 2.5503	LR: 0.034409
Training Epoch: 1 [16896/47500]	Loss: 2.5452	LR: 0.034946
Training Epoch: 1 [17152/47500]	Loss: 2.4970	LR: 0.035484
Training Epoch: 1 [17408/47500]	Loss: 2.4903	LR: 0.036022
Training Epoch: 1 [17664/47500]	Loss: 2.4840	LR: 0.036559
Training Epoch: 1 [17920/47500]	Loss: 2.5959	LR: 0.037097
Training Epoch: 1 [18176/47500]	Loss: 2.5753	LR: 0.037634
Training Epoch: 1 [18432/47500]	Loss: 2.4101	LR: 0.038172
Training Epoch: 1 [18688/47500]	Loss: 2.5085	LR: 0.038710
Training Epoch: 1 [18944/47500]	Loss: 2.4689	LR: 0.039247
Training Epoch: 1 [19200/47500]	Loss: 2.4923	LR: 0.039785
Training Epoch: 1 [19456/47500]	Loss: 2.5554	LR: 0.040323
Training Epoch: 1 [19712/47500]	Loss: 2.4629	LR: 0.040860
Training Epoch: 1 [19968/47500]	Loss: 2.5658	LR: 0.041398
Training Epoch: 1 [20224/47500]	Loss: 2.5510	LR: 0.041935
Training Epoch: 1 [20480/47500]	Loss: 2.4338	LR: 0.042473
Training Epoch: 1 [20736/47500]	Loss: 2.5246	LR: 0.043011
Training Epoch: 1 [20992/47500]	Loss: 2.6716	LR: 0.043548
Training Epoch: 1 [21248/47500]	Loss: 2.5902	LR: 0.044086
Training Epoch: 1 [21504/47500]	Loss: 2.4356	LR: 0.044624
Training Epoch: 1 [21760/47500]	Loss: 2.4893	LR: 0.045161
Training Epoch: 1 [22016/47500]	Loss: 2.5999	LR: 0.045699
Training Epoch: 1 [22272/47500]	Loss: 2.6114	LR: 0.046237
Training Epoch: 1 [22528/47500]	Loss: 2.5867	LR: 0.046774
Training Epoch: 1 [22784/47500]	Loss: 2.6334	LR: 0.047312
Training Epoch: 1 [23040/47500]	Loss: 2.4558	LR: 0.047849
Training Epoch: 1 [23296/47500]	Loss: 2.4979	LR: 0.048387
Training Epoch: 1 [23552/47500]	Loss: 2.5285	LR: 0.048925
Training Epoch: 1 [23808/47500]	Loss: 2.5824	LR: 0.049462
Training Epoch: 1 [24064/47500]	Loss: 2.4795	LR: 0.050000
Training Epoch: 1 [24320/47500]	Loss: 2.5799	LR: 0.050538
Training Epoch: 1 [24576/47500]	Loss: 2.4793	LR: 0.051075
Training Epoch: 1 [24832/47500]	Loss: 2.4917	LR: 0.051613
Training Epoch: 1 [25088/47500]	Loss: 2.4131	LR: 0.052151
Training Epoch: 1 [25344/47500]	Loss: 2.4722	LR: 0.052688
Training Epoch: 1 [25600/47500]	Loss: 2.3444	LR: 0.053226
Training Epoch: 1 [25856/47500]	Loss: 2.5284	LR: 0.053763
Training Epoch: 1 [26112/47500]	Loss: 2.3978	LR: 0.054301
Training Epoch: 1 [26368/47500]	Loss: 2.4038	LR: 0.054839
Training Epoch: 1 [26624/47500]	Loss: 2.6008	LR: 0.055376
Training Epoch: 1 [26880/47500]	Loss: 2.6171	LR: 0.055914
Training Epoch: 1 [27136/47500]	Loss: 2.4600	LR: 0.056452
Training Epoch: 1 [27392/47500]	Loss: 2.5731	LR: 0.056989
Training Epoch: 1 [27648/47500]	Loss: 2.3611	LR: 0.057527
Training Epoch: 1 [27904/47500]	Loss: 2.4341	LR: 0.058065
Training Epoch: 1 [28160/47500]	Loss: 2.4501	LR: 0.058602
Training Epoch: 1 [28416/47500]	Loss: 2.5430	LR: 0.059140
Training Epoch: 1 [28672/47500]	Loss: 2.4226	LR: 0.059677
Training Epoch: 1 [28928/47500]	Loss: 2.5004	LR: 0.060215
Training Epoch: 1 [29184/47500]	Loss: 2.6482	LR: 0.060753
Training Epoch: 1 [29440/47500]	Loss: 2.4451	LR: 0.061290
Training Epoch: 1 [29696/47500]	Loss: 2.4862	LR: 0.061828
Training Epoch: 1 [29952/47500]	Loss: 2.4461	LR: 0.062366
Training Epoch: 1 [30208/47500]	Loss: 2.3358	LR: 0.062903
Training Epoch: 1 [30464/47500]	Loss: 2.4703	LR: 0.063441
Training Epoch: 1 [30720/47500]	Loss: 2.3573	LR: 0.063978
Training Epoch: 1 [30976/47500]	Loss: 2.4913	LR: 0.064516
Training Epoch: 1 [31232/47500]	Loss: 2.5050	LR: 0.065054
Training Epoch: 1 [31488/47500]	Loss: 2.5852	LR: 0.065591
Training Epoch: 1 [31744/47500]	Loss: 2.4819	LR: 0.066129
Training Epoch: 1 [32000/47500]	Loss: 2.4572	LR: 0.066667
Training Epoch: 1 [32256/47500]	Loss: 2.5552	LR: 0.067204
Training Epoch: 1 [32512/47500]	Loss: 2.4913	LR: 0.067742
Training Epoch: 1 [32768/47500]	Loss: 2.4379	LR: 0.068280
Training Epoch: 1 [33024/47500]	Loss: 2.3160	LR: 0.068817
Training Epoch: 1 [33280/47500]	Loss: 2.4288	LR: 0.069355
Training Epoch: 1 [33536/47500]	Loss: 2.3752	LR: 0.069892
Training Epoch: 1 [33792/47500]	Loss: 2.4271	LR: 0.070430
Training Epoch: 1 [34048/47500]	Loss: 2.5719	LR: 0.070968
Training Epoch: 1 [34304/47500]	Loss: 2.4479	LR: 0.071505
Training Epoch: 1 [34560/47500]	Loss: 2.4725	LR: 0.072043
Training Epoch: 1 [34816/47500]	Loss: 2.4588	LR: 0.072581
Training Epoch: 1 [35072/47500]	Loss: 2.3558	LR: 0.073118
Training Epoch: 1 [35328/47500]	Loss: 2.3868	LR: 0.073656
Training Epoch: 1 [35584/47500]	Loss: 2.3315	LR: 0.074194
Training Epoch: 1 [35840/47500]	Loss: 2.4403	LR: 0.074731
Training Epoch: 1 [36096/47500]	Loss: 2.3779	LR: 0.075269
Training Epoch: 1 [36352/47500]	Loss: 2.5084	LR: 0.075806
Training Epoch: 1 [36608/47500]	Loss: 2.3643	LR: 0.076344
Training Epoch: 1 [36864/47500]	Loss: 2.5274	LR: 0.076882
Training Epoch: 1 [37120/47500]	Loss: 2.4942	LR: 0.077419
Training Epoch: 1 [37376/47500]	Loss: 2.4366	LR: 0.077957
Training Epoch: 1 [37632/47500]	Loss: 2.3108	LR: 0.078495
Training Epoch: 1 [37888/47500]	Loss: 2.4033	LR: 0.079032
Training Epoch: 1 [38144/47500]	Loss: 2.4544	LR: 0.079570
Training Epoch: 1 [38400/47500]	Loss: 2.4201	LR: 0.080108
Training Epoch: 1 [38656/47500]	Loss: 2.4310	LR: 0.080645
Training Epoch: 1 [38912/47500]	Loss: 2.4497	LR: 0.081183
Training Epoch: 1 [39168/47500]	Loss: 2.4177	LR: 0.081720
Training Epoch: 1 [39424/47500]	Loss: 2.3224	LR: 0.082258
Training Epoch: 1 [39680/47500]	Loss: 2.3594	LR: 0.082796
Training Epoch: 1 [39936/47500]	Loss: 2.4505	LR: 0.083333
Training Epoch: 1 [40192/47500]	Loss: 2.1549	LR: 0.083871
Training Epoch: 1 [40448/47500]	Loss: 2.4118	LR: 0.084409
Training Epoch: 1 [40704/47500]	Loss: 2.4582	LR: 0.084946
Training Epoch: 1 [40960/47500]	Loss: 2.2686	LR: 0.085484
Training Epoch: 1 [41216/47500]	Loss: 2.3138	LR: 0.086022
Training Epoch: 1 [41472/47500]	Loss: 2.4027	LR: 0.086559
Training Epoch: 1 [41728/47500]	Loss: 2.3819	LR: 0.087097
Training Epoch: 1 [41984/47500]	Loss: 2.4281	LR: 0.087634
Training Epoch: 1 [42240/47500]	Loss: 2.4624	LR: 0.088172
Training Epoch: 1 [42496/47500]	Loss: 2.3519	LR: 0.088710
Training Epoch: 1 [42752/47500]	Loss: 2.3340	LR: 0.089247
Training Epoch: 1 [43008/47500]	Loss: 2.3743	LR: 0.089785
Training Epoch: 1 [43264/47500]	Loss: 2.4450	LR: 0.090323
Training Epoch: 1 [43520/47500]	Loss: 2.3661	LR: 0.090860
Training Epoch: 1 [43776/47500]	Loss: 2.4864	LR: 0.091398
Training Epoch: 1 [44032/47500]	Loss: 2.4273	LR: 0.091935
Training Epoch: 1 [44288/47500]	Loss: 2.3449	LR: 0.092473
Training Epoch: 1 [44544/47500]	Loss: 2.4255	LR: 0.093011
Training Epoch: 1 [44800/47500]	Loss: 2.3013	LR: 0.093548
Training Epoch: 1 [45056/47500]	Loss: 2.4215	LR: 0.094086
Training Epoch: 1 [45312/47500]	Loss: 2.4399	LR: 0.094624
Training Epoch: 1 [45568/47500]	Loss: 2.3579	LR: 0.095161
Training Epoch: 1 [45824/47500]	Loss: 2.5375	LR: 0.095699
Training Epoch: 1 [46080/47500]	Loss: 2.4675	LR: 0.096237
Training Epoch: 1 [46336/47500]	Loss: 2.4307	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 2.3666	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 2.4345	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 2.2319	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 2.3990	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 2.5441	LR: 0.099462
Epoch 1 - Average Train Loss: 2.5547, Train Accuracy: 0.2157
Epoch 1 training time consumed: 29.13s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0100, Accuracy: 0.2510, Time consumed:1.03s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_21h_46m_16s/ResNet18-Cifar20-seed8-ret50-1-best.pth
Training Epoch: 2 [256/47500]	Loss: 2.3576	LR: 0.100000
Training Epoch: 2 [512/47500]	Loss: 2.1294	LR: 0.100000
Training Epoch: 2 [768/47500]	Loss: 2.2606	LR: 0.100000
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Epoch 2 - Average Train Loss: 2.1525, Train Accuracy: 0.3301
Epoch 2 training time consumed: 28.49s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0079, Accuracy: 0.3816, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_21h_46m_16s/ResNet18-Cifar20-seed8-ret50-2-best.pth
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Training Epoch: 3 [47500/47500]	Loss: 1.8272	LR: 0.100000
Epoch 3 - Average Train Loss: 1.8969, Train Accuracy: 0.4040
Epoch 3 training time consumed: 28.25s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0080, Accuracy: 0.3863, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_21h_46m_16s/ResNet18-Cifar20-seed8-ret50-3-best.pth
Training Epoch: 4 [256/47500]	Loss: 1.8527	LR: 0.100000
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Epoch 4 - Average Train Loss: 1.6950, Train Accuracy: 0.4613
Epoch 4 training time consumed: 28.27s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0062, Accuracy: 0.4996, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_21h_46m_16s/ResNet18-Cifar20-seed8-ret50-4-best.pth
Training Epoch: 5 [256/47500]	Loss: 1.5423	LR: 0.100000
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Training Epoch: 5 [8448/47500]	Loss: 1.5541	LR: 0.100000
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Training Epoch: 5 [19968/47500]	Loss: 1.6489	LR: 0.100000
Training Epoch: 5 [20224/47500]	Loss: 1.4649	LR: 0.100000
Training Epoch: 5 [20480/47500]	Loss: 1.3847	LR: 0.100000
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Training Epoch: 5 [24320/47500]	Loss: 1.5231	LR: 0.100000
Training Epoch: 5 [24576/47500]	Loss: 1.5436	LR: 0.100000
Training Epoch: 5 [24832/47500]	Loss: 1.5099	LR: 0.100000
Training Epoch: 5 [25088/47500]	Loss: 1.5399	LR: 0.100000
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Training Epoch: 5 [27392/47500]	Loss: 1.3804	LR: 0.100000
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Training Epoch: 5 [28416/47500]	Loss: 1.4940	LR: 0.100000
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Training Epoch: 5 [29440/47500]	Loss: 1.4841	LR: 0.100000
Training Epoch: 5 [29696/47500]	Loss: 1.5814	LR: 0.100000
Training Epoch: 5 [29952/47500]	Loss: 1.6342	LR: 0.100000
Training Epoch: 5 [30208/47500]	Loss: 1.5893	LR: 0.100000
Training Epoch: 5 [30464/47500]	Loss: 1.5456	LR: 0.100000
Training Epoch: 5 [30720/47500]	Loss: 1.5340	LR: 0.100000
Training Epoch: 5 [30976/47500]	Loss: 1.5268	LR: 0.100000
Training Epoch: 5 [31232/47500]	Loss: 1.4944	LR: 0.100000
Training Epoch: 5 [31488/47500]	Loss: 1.5393	LR: 0.100000
Training Epoch: 5 [31744/47500]	Loss: 1.5360	LR: 0.100000
Training Epoch: 5 [32000/47500]	Loss: 1.4267	LR: 0.100000
Training Epoch: 5 [32256/47500]	Loss: 1.5097	LR: 0.100000
Training Epoch: 5 [32512/47500]	Loss: 1.4670	LR: 0.100000
Training Epoch: 5 [32768/47500]	Loss: 1.4587	LR: 0.100000
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Training Epoch: 5 [34304/47500]	Loss: 1.5132	LR: 0.100000
Training Epoch: 5 [34560/47500]	Loss: 1.4816	LR: 0.100000
Training Epoch: 5 [34816/47500]	Loss: 1.4414	LR: 0.100000
Training Epoch: 5 [35072/47500]	Loss: 1.5461	LR: 0.100000
Training Epoch: 5 [35328/47500]	Loss: 1.4133	LR: 0.100000
Training Epoch: 5 [35584/47500]	Loss: 1.5077	LR: 0.100000
Training Epoch: 5 [35840/47500]	Loss: 1.6430	LR: 0.100000
Training Epoch: 5 [36096/47500]	Loss: 1.4955	LR: 0.100000
Training Epoch: 5 [36352/47500]	Loss: 1.4273	LR: 0.100000
Training Epoch: 5 [36608/47500]	Loss: 1.3700	LR: 0.100000
Training Epoch: 5 [36864/47500]	Loss: 1.4938	LR: 0.100000
Training Epoch: 5 [37120/47500]	Loss: 1.3771	LR: 0.100000
Training Epoch: 5 [37376/47500]	Loss: 1.3613	LR: 0.100000
Training Epoch: 5 [37632/47500]	Loss: 1.6088	LR: 0.100000
Training Epoch: 5 [37888/47500]	Loss: 1.5319	LR: 0.100000
Training Epoch: 5 [38144/47500]	Loss: 1.4791	LR: 0.100000
Training Epoch: 5 [38400/47500]	Loss: 1.4610	LR: 0.100000
Training Epoch: 5 [38656/47500]	Loss: 1.3594	LR: 0.100000
Training Epoch: 5 [38912/47500]	Loss: 1.3415	LR: 0.100000
Training Epoch: 5 [39168/47500]	Loss: 1.3930	LR: 0.100000
Training Epoch: 5 [39424/47500]	Loss: 1.3788	LR: 0.100000
Training Epoch: 5 [39680/47500]	Loss: 1.3461	LR: 0.100000
Training Epoch: 5 [39936/47500]	Loss: 1.5956	LR: 0.100000
Training Epoch: 5 [40192/47500]	Loss: 1.5361	LR: 0.100000
Training Epoch: 5 [40448/47500]	Loss: 1.4940	LR: 0.100000
Training Epoch: 5 [40704/47500]	Loss: 1.4951	LR: 0.100000
Training Epoch: 5 [40960/47500]	Loss: 1.3328	LR: 0.100000
Training Epoch: 5 [41216/47500]	Loss: 1.3618	LR: 0.100000
Training Epoch: 5 [41472/47500]	Loss: 1.4715	LR: 0.100000
Training Epoch: 5 [41728/47500]	Loss: 1.6030	LR: 0.100000
Training Epoch: 5 [41984/47500]	Loss: 1.5550	LR: 0.100000
Training Epoch: 5 [42240/47500]	Loss: 1.3751	LR: 0.100000
Training Epoch: 5 [42496/47500]	Loss: 1.5010	LR: 0.100000
Training Epoch: 5 [42752/47500]	Loss: 1.4775	LR: 0.100000
Training Epoch: 5 [43008/47500]	Loss: 1.4486	LR: 0.100000
Training Epoch: 5 [43264/47500]	Loss: 1.4092	LR: 0.100000
Training Epoch: 5 [43520/47500]	Loss: 1.4704	LR: 0.100000
Training Epoch: 5 [43776/47500]	Loss: 1.5669	LR: 0.100000
Training Epoch: 5 [44032/47500]	Loss: 1.5304	LR: 0.100000
Training Epoch: 5 [44288/47500]	Loss: 1.3495	LR: 0.100000
Training Epoch: 5 [44544/47500]	Loss: 1.5620	LR: 0.100000
Training Epoch: 5 [44800/47500]	Loss: 1.5153	LR: 0.100000
Training Epoch: 5 [45056/47500]	Loss: 1.3714	LR: 0.100000
Training Epoch: 5 [45312/47500]	Loss: 1.5335	LR: 0.100000
Training Epoch: 5 [45568/47500]	Loss: 1.3093	LR: 0.100000
Training Epoch: 5 [45824/47500]	Loss: 1.4694	LR: 0.100000
Training Epoch: 5 [46080/47500]	Loss: 1.5323	LR: 0.100000
Training Epoch: 5 [46336/47500]	Loss: 1.4913	LR: 0.100000
Training Epoch: 5 [46592/47500]	Loss: 1.4026	LR: 0.100000
Training Epoch: 5 [46848/47500]	Loss: 1.4941	LR: 0.100000
Training Epoch: 5 [47104/47500]	Loss: 1.3378	LR: 0.100000
Training Epoch: 5 [47360/47500]	Loss: 1.3302	LR: 0.100000
Training Epoch: 5 [47500/47500]	Loss: 1.3086	LR: 0.100000
Epoch 5 - Average Train Loss: 1.5171, Train Accuracy: 0.5155
Epoch 5 training time consumed: 28.32s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0078, Accuracy: 0.4385, Time consumed:0.88s
Training Epoch: 6 [256/47500]	Loss: 1.3533	LR: 0.100000
Training Epoch: 6 [512/47500]	Loss: 1.3238	LR: 0.100000
Training Epoch: 6 [768/47500]	Loss: 1.5014	LR: 0.100000
Training Epoch: 6 [1024/47500]	Loss: 1.4593	LR: 0.100000
Training Epoch: 6 [1280/47500]	Loss: 1.4920	LR: 0.100000
Training Epoch: 6 [1536/47500]	Loss: 1.3720	LR: 0.100000
Training Epoch: 6 [1792/47500]	Loss: 1.4114	LR: 0.100000
Training Epoch: 6 [2048/47500]	Loss: 1.5017	LR: 0.100000
Training Epoch: 6 [2304/47500]	Loss: 1.5045	LR: 0.100000
Training Epoch: 6 [2560/47500]	Loss: 1.2157	LR: 0.100000
Training Epoch: 6 [2816/47500]	Loss: 1.4115	LR: 0.100000
Training Epoch: 6 [3072/47500]	Loss: 1.3670	LR: 0.100000
Training Epoch: 6 [3328/47500]	Loss: 1.4229	LR: 0.100000
Training Epoch: 6 [3584/47500]	Loss: 1.5125	LR: 0.100000
Training Epoch: 6 [3840/47500]	Loss: 1.4756	LR: 0.100000
Training Epoch: 6 [4096/47500]	Loss: 1.4346	LR: 0.100000
Training Epoch: 6 [4352/47500]	Loss: 1.4592	LR: 0.100000
Training Epoch: 6 [4608/47500]	Loss: 1.3923	LR: 0.100000
Training Epoch: 6 [4864/47500]	Loss: 1.4689	LR: 0.100000
Training Epoch: 6 [5120/47500]	Loss: 1.3531	LR: 0.100000
Training Epoch: 6 [5376/47500]	Loss: 1.3350	LR: 0.100000
Training Epoch: 6 [5632/47500]	Loss: 1.3745	LR: 0.100000
Training Epoch: 6 [5888/47500]	Loss: 1.4168	LR: 0.100000
Training Epoch: 6 [6144/47500]	Loss: 1.5217	LR: 0.100000
Training Epoch: 6 [6400/47500]	Loss: 1.4866	LR: 0.100000
Training Epoch: 6 [6656/47500]	Loss: 1.3086	LR: 0.100000
Training Epoch: 6 [6912/47500]	Loss: 1.3980	LR: 0.100000
Training Epoch: 6 [7168/47500]	Loss: 1.3333	LR: 0.100000
Training Epoch: 6 [7424/47500]	Loss: 1.4803	LR: 0.100000
Training Epoch: 6 [7680/47500]	Loss: 1.3569	LR: 0.100000
Training Epoch: 6 [7936/47500]	Loss: 1.4267	LR: 0.100000
Training Epoch: 6 [8192/47500]	Loss: 1.3573	LR: 0.100000
Training Epoch: 6 [8448/47500]	Loss: 1.5138	LR: 0.100000
Training Epoch: 6 [8704/47500]	Loss: 1.4600	LR: 0.100000
Training Epoch: 6 [8960/47500]	Loss: 1.3078	LR: 0.100000
Training Epoch: 6 [9216/47500]	Loss: 1.4183	LR: 0.100000
Training Epoch: 6 [9472/47500]	Loss: 1.4087	LR: 0.100000
Training Epoch: 6 [9728/47500]	Loss: 1.4241	LR: 0.100000
Training Epoch: 6 [9984/47500]	Loss: 1.4010	LR: 0.100000
Training Epoch: 6 [10240/47500]	Loss: 1.4099	LR: 0.100000
Training Epoch: 6 [10496/47500]	Loss: 1.5553	LR: 0.100000
Training Epoch: 6 [10752/47500]	Loss: 1.4849	LR: 0.100000
Training Epoch: 6 [11008/47500]	Loss: 1.3895	LR: 0.100000
Training Epoch: 6 [11264/47500]	Loss: 1.3846	LR: 0.100000
Training Epoch: 6 [11520/47500]	Loss: 1.3678	LR: 0.100000
Training Epoch: 6 [11776/47500]	Loss: 1.3747	LR: 0.100000
Training Epoch: 6 [12032/47500]	Loss: 1.3614	LR: 0.100000
Training Epoch: 6 [12288/47500]	Loss: 1.4679	LR: 0.100000
Training Epoch: 6 [12544/47500]	Loss: 1.5168	LR: 0.100000
Training Epoch: 6 [12800/47500]	Loss: 1.4784	LR: 0.100000
Training Epoch: 6 [13056/47500]	Loss: 1.4695	LR: 0.100000
Training Epoch: 6 [13312/47500]	Loss: 1.5357	LR: 0.100000
Training Epoch: 6 [13568/47500]	Loss: 1.3405	LR: 0.100000
Training Epoch: 6 [13824/47500]	Loss: 1.5842	LR: 0.100000
Training Epoch: 6 [14080/47500]	Loss: 1.5376	LR: 0.100000
Training Epoch: 6 [14336/47500]	Loss: 1.3841	LR: 0.100000
Training Epoch: 6 [14592/47500]	Loss: 1.3642	LR: 0.100000
Training Epoch: 6 [14848/47500]	Loss: 1.4551	LR: 0.100000
Training Epoch: 6 [15104/47500]	Loss: 1.2407	LR: 0.100000
Training Epoch: 6 [15360/47500]	Loss: 1.3591	LR: 0.100000
Training Epoch: 6 [15616/47500]	Loss: 1.4643	LR: 0.100000
Training Epoch: 6 [15872/47500]	Loss: 1.2472	LR: 0.100000
Training Epoch: 6 [16128/47500]	Loss: 1.3461	LR: 0.100000
Training Epoch: 6 [16384/47500]	Loss: 1.3522	LR: 0.100000
Training Epoch: 6 [16640/47500]	Loss: 1.6685	LR: 0.100000
Training Epoch: 6 [16896/47500]	Loss: 1.4206	LR: 0.100000
Training Epoch: 6 [17152/47500]	Loss: 1.3930	LR: 0.100000
Training Epoch: 6 [17408/47500]	Loss: 1.3949	LR: 0.100000
Training Epoch: 6 [17664/47500]	Loss: 1.4292	LR: 0.100000
Training Epoch: 6 [17920/47500]	Loss: 1.4009	LR: 0.100000
Training Epoch: 6 [18176/47500]	Loss: 1.4221	LR: 0.100000
Training Epoch: 6 [18432/47500]	Loss: 1.3768	LR: 0.100000
Training Epoch: 6 [18688/47500]	Loss: 1.4341	LR: 0.100000
Training Epoch: 6 [18944/47500]	Loss: 1.2934	LR: 0.100000
Training Epoch: 6 [19200/47500]	Loss: 1.5259	LR: 0.100000
Training Epoch: 6 [19456/47500]	Loss: 1.3677	LR: 0.100000
Training Epoch: 6 [19712/47500]	Loss: 1.4409	LR: 0.100000
Training Epoch: 6 [19968/47500]	Loss: 1.4175	LR: 0.100000
Training Epoch: 6 [20224/47500]	Loss: 1.4030	LR: 0.100000
Training Epoch: 6 [20480/47500]	Loss: 1.3749	LR: 0.100000
Training Epoch: 6 [20736/47500]	Loss: 1.4358	LR: 0.100000
Training Epoch: 6 [20992/47500]	Loss: 1.2442	LR: 0.100000
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Training Epoch: 6 [21504/47500]	Loss: 1.1815	LR: 0.100000
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Training Epoch: 6 [22016/47500]	Loss: 1.4117	LR: 0.100000
Training Epoch: 6 [22272/47500]	Loss: 1.4567	LR: 0.100000
Training Epoch: 6 [22528/47500]	Loss: 1.2704	LR: 0.100000
Training Epoch: 6 [22784/47500]	Loss: 1.4191	LR: 0.100000
Training Epoch: 6 [23040/47500]	Loss: 1.2922	LR: 0.100000
Training Epoch: 6 [23296/47500]	Loss: 1.4685	LR: 0.100000
Training Epoch: 6 [23552/47500]	Loss: 1.3882	LR: 0.100000
Training Epoch: 6 [23808/47500]	Loss: 1.3072	LR: 0.100000
Training Epoch: 6 [24064/47500]	Loss: 1.2278	LR: 0.100000
Training Epoch: 6 [24320/47500]	Loss: 1.4699	LR: 0.100000
Training Epoch: 6 [24576/47500]	Loss: 1.4887	LR: 0.100000
Training Epoch: 6 [24832/47500]	Loss: 1.2915	LR: 0.100000
Training Epoch: 6 [25088/47500]	Loss: 1.3013	LR: 0.100000
Training Epoch: 6 [25344/47500]	Loss: 1.4617	LR: 0.100000
Training Epoch: 6 [25600/47500]	Loss: 1.3995	LR: 0.100000
Training Epoch: 6 [25856/47500]	Loss: 1.2720	LR: 0.100000
Training Epoch: 6 [26112/47500]	Loss: 1.3925	LR: 0.100000
Training Epoch: 6 [26368/47500]	Loss: 1.2961	LR: 0.100000
Training Epoch: 6 [26624/47500]	Loss: 1.4615	LR: 0.100000
Training Epoch: 6 [26880/47500]	Loss: 1.3968	LR: 0.100000
Training Epoch: 6 [27136/47500]	Loss: 1.3607	LR: 0.100000
Training Epoch: 6 [27392/47500]	Loss: 1.2878	LR: 0.100000
Training Epoch: 6 [27648/47500]	Loss: 1.3590	LR: 0.100000
Training Epoch: 6 [27904/47500]	Loss: 1.2731	LR: 0.100000
Training Epoch: 6 [28160/47500]	Loss: 1.4024	LR: 0.100000
Training Epoch: 6 [28416/47500]	Loss: 1.4597	LR: 0.100000
Training Epoch: 6 [28672/47500]	Loss: 1.2738	LR: 0.100000
Training Epoch: 6 [28928/47500]	Loss: 1.4209	LR: 0.100000
Training Epoch: 6 [29184/47500]	Loss: 1.3945	LR: 0.100000
Training Epoch: 6 [29440/47500]	Loss: 1.5563	LR: 0.100000
Training Epoch: 6 [29696/47500]	Loss: 1.5263	LR: 0.100000
Training Epoch: 6 [29952/47500]	Loss: 1.4383	LR: 0.100000
Training Epoch: 6 [30208/47500]	Loss: 1.4169	LR: 0.100000
Training Epoch: 6 [30464/47500]	Loss: 1.5088	LR: 0.100000
Training Epoch: 6 [30720/47500]	Loss: 1.4209	LR: 0.100000
Training Epoch: 6 [30976/47500]	Loss: 1.3725	LR: 0.100000
Training Epoch: 6 [31232/47500]	Loss: 1.2614	LR: 0.100000
Training Epoch: 6 [31488/47500]	Loss: 1.3372	LR: 0.100000
Training Epoch: 6 [31744/47500]	Loss: 1.4365	LR: 0.100000
Training Epoch: 6 [32000/47500]	Loss: 1.3542	LR: 0.100000
Training Epoch: 6 [32256/47500]	Loss: 1.2859	LR: 0.100000
Training Epoch: 6 [32512/47500]	Loss: 1.4019	LR: 0.100000
Training Epoch: 6 [32768/47500]	Loss: 1.3582	LR: 0.100000
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Training Epoch: 6 [33536/47500]	Loss: 1.3063	LR: 0.100000
Training Epoch: 6 [33792/47500]	Loss: 1.2457	LR: 0.100000
Training Epoch: 6 [34048/47500]	Loss: 1.5033	LR: 0.100000
Training Epoch: 6 [34304/47500]	Loss: 1.4327	LR: 0.100000
Training Epoch: 6 [34560/47500]	Loss: 1.2301	LR: 0.100000
Training Epoch: 6 [34816/47500]	Loss: 1.3781	LR: 0.100000
Training Epoch: 6 [35072/47500]	Loss: 1.2467	LR: 0.100000
Training Epoch: 6 [35328/47500]	Loss: 1.3814	LR: 0.100000
Training Epoch: 6 [35584/47500]	Loss: 1.4355	LR: 0.100000
Training Epoch: 6 [35840/47500]	Loss: 1.4058	LR: 0.100000
Training Epoch: 6 [36096/47500]	Loss: 1.2258	LR: 0.100000
Training Epoch: 6 [36352/47500]	Loss: 1.3180	LR: 0.100000
Training Epoch: 6 [36608/47500]	Loss: 1.3548	LR: 0.100000
Training Epoch: 6 [36864/47500]	Loss: 1.2751	LR: 0.100000
Training Epoch: 6 [37120/47500]	Loss: 1.4757	LR: 0.100000
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Training Epoch: 6 [47500/47500]	Loss: 1.5307	LR: 0.100000
Epoch 6 - Average Train Loss: 1.3925, Train Accuracy: 0.5537
Epoch 6 training time consumed: 28.28s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0058, Accuracy: 0.5367, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_21h_46m_16s/ResNet18-Cifar20-seed8-ret50-6-best.pth
Training Epoch: 7 [256/47500]	Loss: 1.2474	LR: 0.100000
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Training Epoch: 7 [47500/47500]	Loss: 1.3912	LR: 0.100000
Epoch 7 - Average Train Loss: 1.2771, Train Accuracy: 0.5923
Epoch 7 training time consumed: 28.24s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0052, Accuracy: 0.5908, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_21h_46m_16s/ResNet18-Cifar20-seed8-ret50-7-best.pth
Training Epoch: 8 [256/47500]	Loss: 1.1335	LR: 0.100000
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Epoch 8 - Average Train Loss: 1.1857, Train Accuracy: 0.6164
Epoch 8 training time consumed: 28.29s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0052, Accuracy: 0.5935, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_21h_46m_16s/ResNet18-Cifar20-seed8-ret50-8-best.pth
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Training Epoch: 9 [45056/47500]	Loss: 1.0456	LR: 0.100000
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Training Epoch: 9 [47360/47500]	Loss: 1.0435	LR: 0.100000
Training Epoch: 9 [47500/47500]	Loss: 0.9803	LR: 0.100000
Epoch 9 - Average Train Loss: 1.1106, Train Accuracy: 0.6425
Epoch 9 training time consumed: 28.37s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0049, Accuracy: 0.6148, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_21h_46m_16s/ResNet18-Cifar20-seed8-ret50-9-best.pth
Training Epoch: 10 [256/47500]	Loss: 1.1079	LR: 0.100000
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Training Epoch: 10 [47500/47500]	Loss: 0.9266	LR: 0.100000
Epoch 10 - Average Train Loss: 1.0553, Train Accuracy: 0.6576
Epoch 10 training time consumed: 28.17s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0046, Accuracy: 0.6372, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_21h_46m_16s/ResNet18-Cifar20-seed8-ret50-10-best.pth
Training Epoch: 11 [256/47500]	Loss: 0.9944	LR: 0.100000
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Training Epoch: 11 [47500/47500]	Loss: 0.9791	LR: 0.100000
Epoch 11 - Average Train Loss: 0.9880, Train Accuracy: 0.6796
Epoch 11 training time consumed: 28.29s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0048, Accuracy: 0.6214, Time consumed:0.89s
Training Epoch: 12 [256/47500]	Loss: 0.9378	LR: 0.100000
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Training Epoch: 12 [47500/47500]	Loss: 1.0930	LR: 0.100000
Epoch 12 - Average Train Loss: 0.9595, Train Accuracy: 0.6891
Epoch 12 training time consumed: 28.27s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0040, Accuracy: 0.6752, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_21h_46m_16s/ResNet18-Cifar20-seed8-ret50-12-best.pth
Training Epoch: 13 [256/47500]	Loss: 0.8609	LR: 0.100000
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Training Epoch: 13 [30208/47500]	Loss: 0.8608	LR: 0.100000
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Training Epoch: 13 [31232/47500]	Loss: 1.0646	LR: 0.100000
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Training Epoch: 13 [31744/47500]	Loss: 0.9397	LR: 0.100000
Training Epoch: 13 [32000/47500]	Loss: 0.9066	LR: 0.100000
Training Epoch: 13 [32256/47500]	Loss: 0.9407	LR: 0.100000
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Training Epoch: 13 [35840/47500]	Loss: 1.0397	LR: 0.100000
Training Epoch: 13 [36096/47500]	Loss: 0.8809	LR: 0.100000
Training Epoch: 13 [36352/47500]	Loss: 0.8951	LR: 0.100000
Training Epoch: 13 [36608/47500]	Loss: 0.9257	LR: 0.100000
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Training Epoch: 13 [37376/47500]	Loss: 1.0018	LR: 0.100000
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Training Epoch: 13 [38144/47500]	Loss: 0.9517	LR: 0.100000
Training Epoch: 13 [38400/47500]	Loss: 1.0600	LR: 0.100000
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Training Epoch: 13 [39168/47500]	Loss: 0.9464	LR: 0.100000
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Training Epoch: 13 [39936/47500]	Loss: 1.0705	LR: 0.100000
Training Epoch: 13 [40192/47500]	Loss: 0.9394	LR: 0.100000
Training Epoch: 13 [40448/47500]	Loss: 0.8908	LR: 0.100000
Training Epoch: 13 [40704/47500]	Loss: 0.7325	LR: 0.100000
Training Epoch: 13 [40960/47500]	Loss: 1.0100	LR: 0.100000
Training Epoch: 13 [41216/47500]	Loss: 0.9213	LR: 0.100000
Training Epoch: 13 [41472/47500]	Loss: 0.8696	LR: 0.100000
Training Epoch: 13 [41728/47500]	Loss: 0.9021	LR: 0.100000
Training Epoch: 13 [41984/47500]	Loss: 0.9896	LR: 0.100000
Training Epoch: 13 [42240/47500]	Loss: 1.0136	LR: 0.100000
Training Epoch: 13 [42496/47500]	Loss: 0.9973	LR: 0.100000
Training Epoch: 13 [42752/47500]	Loss: 0.9992	LR: 0.100000
Training Epoch: 13 [43008/47500]	Loss: 0.9450	LR: 0.100000
Training Epoch: 13 [43264/47500]	Loss: 0.9136	LR: 0.100000
Training Epoch: 13 [43520/47500]	Loss: 0.9050	LR: 0.100000
Training Epoch: 13 [43776/47500]	Loss: 0.9352	LR: 0.100000
Training Epoch: 13 [44032/47500]	Loss: 0.9158	LR: 0.100000
Training Epoch: 13 [44288/47500]	Loss: 0.8374	LR: 0.100000
Training Epoch: 13 [44544/47500]	Loss: 0.8710	LR: 0.100000
Training Epoch: 13 [44800/47500]	Loss: 0.8369	LR: 0.100000
Training Epoch: 13 [45056/47500]	Loss: 0.8909	LR: 0.100000
Training Epoch: 13 [45312/47500]	Loss: 0.8704	LR: 0.100000
Training Epoch: 13 [45568/47500]	Loss: 0.8706	LR: 0.100000
Training Epoch: 13 [45824/47500]	Loss: 0.8935	LR: 0.100000
Training Epoch: 13 [46080/47500]	Loss: 0.9329	LR: 0.100000
Training Epoch: 13 [46336/47500]	Loss: 0.9552	LR: 0.100000
Training Epoch: 13 [46592/47500]	Loss: 0.8841	LR: 0.100000
Training Epoch: 13 [46848/47500]	Loss: 0.9934	LR: 0.100000
Training Epoch: 13 [47104/47500]	Loss: 0.9977	LR: 0.100000
Training Epoch: 13 [47360/47500]	Loss: 0.9142	LR: 0.100000
Training Epoch: 13 [47500/47500]	Loss: 0.8082	LR: 0.100000
Epoch 13 - Average Train Loss: 0.9211, Train Accuracy: 0.7025
Epoch 13 training time consumed: 28.41s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0046, Accuracy: 0.6398, Time consumed:0.88s
Training Epoch: 14 [256/47500]	Loss: 0.8365	LR: 0.100000
Training Epoch: 14 [512/47500]	Loss: 0.8101	LR: 0.100000
Training Epoch: 14 [768/47500]	Loss: 0.7470	LR: 0.100000
Training Epoch: 14 [1024/47500]	Loss: 0.9200	LR: 0.100000
Training Epoch: 14 [1280/47500]	Loss: 0.8710	LR: 0.100000
Training Epoch: 14 [1536/47500]	Loss: 0.9147	LR: 0.100000
Training Epoch: 14 [1792/47500]	Loss: 0.7393	LR: 0.100000
Training Epoch: 14 [2048/47500]	Loss: 0.8105	LR: 0.100000
Training Epoch: 14 [2304/47500]	Loss: 0.9261	LR: 0.100000
Training Epoch: 14 [2560/47500]	Loss: 0.8655	LR: 0.100000
Training Epoch: 14 [2816/47500]	Loss: 0.9192	LR: 0.100000
Training Epoch: 14 [3072/47500]	Loss: 0.8623	LR: 0.100000
Training Epoch: 14 [3328/47500]	Loss: 0.8570	LR: 0.100000
Training Epoch: 14 [3584/47500]	Loss: 0.7712	LR: 0.100000
Training Epoch: 14 [3840/47500]	Loss: 0.9218	LR: 0.100000
Training Epoch: 14 [4096/47500]	Loss: 0.6836	LR: 0.100000
Training Epoch: 14 [4352/47500]	Loss: 0.9839	LR: 0.100000
Training Epoch: 14 [4608/47500]	Loss: 0.8505	LR: 0.100000
Training Epoch: 14 [4864/47500]	Loss: 0.7612	LR: 0.100000
Training Epoch: 14 [5120/47500]	Loss: 0.8413	LR: 0.100000
Training Epoch: 14 [5376/47500]	Loss: 0.7616	LR: 0.100000
Training Epoch: 14 [5632/47500]	Loss: 0.7831	LR: 0.100000
Training Epoch: 14 [5888/47500]	Loss: 0.8153	LR: 0.100000
Training Epoch: 14 [6144/47500]	Loss: 0.8139	LR: 0.100000
Training Epoch: 14 [6400/47500]	Loss: 0.9054	LR: 0.100000
Training Epoch: 14 [6656/47500]	Loss: 0.7896	LR: 0.100000
Training Epoch: 14 [6912/47500]	Loss: 0.7330	LR: 0.100000
Training Epoch: 14 [7168/47500]	Loss: 0.8853	LR: 0.100000
Training Epoch: 14 [7424/47500]	Loss: 0.7932	LR: 0.100000
Training Epoch: 14 [7680/47500]	Loss: 0.8689	LR: 0.100000
Training Epoch: 14 [7936/47500]	Loss: 0.8162	LR: 0.100000
Training Epoch: 14 [8192/47500]	Loss: 1.0258	LR: 0.100000
Training Epoch: 14 [8448/47500]	Loss: 0.9267	LR: 0.100000
Training Epoch: 14 [8704/47500]	Loss: 0.8618	LR: 0.100000
Training Epoch: 14 [8960/47500]	Loss: 0.9274	LR: 0.100000
Training Epoch: 14 [9216/47500]	Loss: 0.8407	LR: 0.100000
Training Epoch: 14 [9472/47500]	Loss: 0.9077	LR: 0.100000
Training Epoch: 14 [9728/47500]	Loss: 0.8292	LR: 0.100000
Training Epoch: 14 [9984/47500]	Loss: 0.8152	LR: 0.100000
Training Epoch: 14 [10240/47500]	Loss: 0.9297	LR: 0.100000
Training Epoch: 14 [10496/47500]	Loss: 0.8935	LR: 0.100000
Training Epoch: 14 [10752/47500]	Loss: 0.9866	LR: 0.100000
Training Epoch: 14 [11008/47500]	Loss: 0.9241	LR: 0.100000
Training Epoch: 14 [11264/47500]	Loss: 0.7855	LR: 0.100000
Training Epoch: 14 [11520/47500]	Loss: 0.9747	LR: 0.100000
Training Epoch: 14 [11776/47500]	Loss: 0.7546	LR: 0.100000
Training Epoch: 14 [12032/47500]	Loss: 1.0035	LR: 0.100000
Training Epoch: 14 [12288/47500]	Loss: 0.8539	LR: 0.100000
Training Epoch: 14 [12544/47500]	Loss: 0.8630	LR: 0.100000
Training Epoch: 14 [12800/47500]	Loss: 0.8950	LR: 0.100000
Training Epoch: 14 [13056/47500]	Loss: 0.9232	LR: 0.100000
Training Epoch: 14 [13312/47500]	Loss: 0.9021	LR: 0.100000
Training Epoch: 14 [13568/47500]	Loss: 0.8823	LR: 0.100000
Training Epoch: 14 [13824/47500]	Loss: 0.9932	LR: 0.100000
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Training Epoch: 14 [16128/47500]	Loss: 0.9059	LR: 0.100000
Training Epoch: 14 [16384/47500]	Loss: 0.8107	LR: 0.100000
Training Epoch: 14 [16640/47500]	Loss: 0.9903	LR: 0.100000
Training Epoch: 14 [16896/47500]	Loss: 0.9282	LR: 0.100000
Training Epoch: 14 [17152/47500]	Loss: 0.7977	LR: 0.100000
Training Epoch: 14 [17408/47500]	Loss: 0.8271	LR: 0.100000
Training Epoch: 14 [17664/47500]	Loss: 0.8789	LR: 0.100000
Training Epoch: 14 [17920/47500]	Loss: 0.9028	LR: 0.100000
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Training Epoch: 14 [18688/47500]	Loss: 0.9211	LR: 0.100000
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Training Epoch: 14 [19200/47500]	Loss: 0.8957	LR: 0.100000
Training Epoch: 14 [19456/47500]	Loss: 0.9660	LR: 0.100000
Training Epoch: 14 [19712/47500]	Loss: 0.8899	LR: 0.100000
Training Epoch: 14 [19968/47500]	Loss: 0.8902	LR: 0.100000
Training Epoch: 14 [20224/47500]	Loss: 0.7919	LR: 0.100000
Training Epoch: 14 [20480/47500]	Loss: 0.8817	LR: 0.100000
Training Epoch: 14 [20736/47500]	Loss: 1.1003	LR: 0.100000
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Training Epoch: 14 [22016/47500]	Loss: 0.8731	LR: 0.100000
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Training Epoch: 14 [24576/47500]	Loss: 0.8764	LR: 0.100000
Training Epoch: 14 [24832/47500]	Loss: 1.1489	LR: 0.100000
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Training Epoch: 14 [26368/47500]	Loss: 1.0402	LR: 0.100000
Training Epoch: 14 [26624/47500]	Loss: 0.8664	LR: 0.100000
Training Epoch: 14 [26880/47500]	Loss: 0.7987	LR: 0.100000
Training Epoch: 14 [27136/47500]	Loss: 0.9493	LR: 0.100000
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Training Epoch: 14 [28416/47500]	Loss: 0.8959	LR: 0.100000
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Training Epoch: 14 [28928/47500]	Loss: 0.9119	LR: 0.100000
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Training Epoch: 14 [29440/47500]	Loss: 0.9556	LR: 0.100000
Training Epoch: 14 [29696/47500]	Loss: 0.8320	LR: 0.100000
Training Epoch: 14 [29952/47500]	Loss: 0.8457	LR: 0.100000
Training Epoch: 14 [30208/47500]	Loss: 0.9383	LR: 0.100000
Training Epoch: 14 [30464/47500]	Loss: 1.0311	LR: 0.100000
Training Epoch: 14 [30720/47500]	Loss: 0.7725	LR: 0.100000
Training Epoch: 14 [30976/47500]	Loss: 0.8200	LR: 0.100000
Training Epoch: 14 [31232/47500]	Loss: 1.1282	LR: 0.100000
Training Epoch: 14 [31488/47500]	Loss: 1.0133	LR: 0.100000
Training Epoch: 14 [31744/47500]	Loss: 0.7710	LR: 0.100000
Training Epoch: 14 [32000/47500]	Loss: 0.8759	LR: 0.100000
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Training Epoch: 14 [33280/47500]	Loss: 0.9060	LR: 0.100000
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Training Epoch: 14 [47500/47500]	Loss: 0.9484	LR: 0.100000
Epoch 14 - Average Train Loss: 0.8942, Train Accuracy: 0.7095
Epoch 14 training time consumed: 28.31s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0050, Accuracy: 0.6284, Time consumed:0.97s
Training Epoch: 15 [256/47500]	Loss: 0.8463	LR: 0.020000
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Training Epoch: 15 [47500/47500]	Loss: 0.7828	LR: 0.020000
Epoch 15 - Average Train Loss: 0.6638, Train Accuracy: 0.7833
Epoch 15 training time consumed: 28.38s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0029, Accuracy: 0.7632, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_21h_46m_16s/ResNet18-Cifar20-seed8-ret50-15-best.pth
Training Epoch: 16 [256/47500]	Loss: 0.5762	LR: 0.020000
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Training Epoch: 16 [47500/47500]	Loss: 0.5255	LR: 0.020000
Epoch 16 - Average Train Loss: 0.5800, Train Accuracy: 0.8105
Epoch 16 training time consumed: 28.27s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0028, Accuracy: 0.7713, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_21h_46m_16s/ResNet18-Cifar20-seed8-ret50-16-best.pth
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Training Epoch: 17 [37120/47500]	Loss: 0.4997	LR: 0.020000
Training Epoch: 17 [37376/47500]	Loss: 0.5588	LR: 0.020000
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Training Epoch: 17 [38144/47500]	Loss: 0.5377	LR: 0.020000
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Training Epoch: 17 [38656/47500]	Loss: 0.5475	LR: 0.020000
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Training Epoch: 17 [42496/47500]	Loss: 0.5182	LR: 0.020000
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Training Epoch: 17 [43264/47500]	Loss: 0.6070	LR: 0.020000
Training Epoch: 17 [43520/47500]	Loss: 0.6739	LR: 0.020000
Training Epoch: 17 [43776/47500]	Loss: 0.4818	LR: 0.020000
Training Epoch: 17 [44032/47500]	Loss: 0.4643	LR: 0.020000
Training Epoch: 17 [44288/47500]	Loss: 0.4669	LR: 0.020000
Training Epoch: 17 [44544/47500]	Loss: 0.5037	LR: 0.020000
Training Epoch: 17 [44800/47500]	Loss: 0.5307	LR: 0.020000
Training Epoch: 17 [45056/47500]	Loss: 0.5637	LR: 0.020000
Training Epoch: 17 [45312/47500]	Loss: 0.5580	LR: 0.020000
Training Epoch: 17 [45568/47500]	Loss: 0.5125	LR: 0.020000
Training Epoch: 17 [45824/47500]	Loss: 0.4921	LR: 0.020000
Training Epoch: 17 [46080/47500]	Loss: 0.5221	LR: 0.020000
Training Epoch: 17 [46336/47500]	Loss: 0.5682	LR: 0.020000
Training Epoch: 17 [46592/47500]	Loss: 0.7043	LR: 0.020000
Training Epoch: 17 [46848/47500]	Loss: 0.7074	LR: 0.020000
Training Epoch: 17 [47104/47500]	Loss: 0.5424	LR: 0.020000
Training Epoch: 17 [47360/47500]	Loss: 0.6360	LR: 0.020000
Training Epoch: 17 [47500/47500]	Loss: 0.5221	LR: 0.020000
Epoch 17 - Average Train Loss: 0.5400, Train Accuracy: 0.8226
Epoch 17 training time consumed: 28.38s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0028, Accuracy: 0.7704, Time consumed:0.87s
Training Epoch: 18 [256/47500]	Loss: 0.5525	LR: 0.020000
Training Epoch: 18 [512/47500]	Loss: 0.5231	LR: 0.020000
Training Epoch: 18 [768/47500]	Loss: 0.5322	LR: 0.020000
Training Epoch: 18 [1024/47500]	Loss: 0.4255	LR: 0.020000
Training Epoch: 18 [1280/47500]	Loss: 0.4652	LR: 0.020000
Training Epoch: 18 [1536/47500]	Loss: 0.4523	LR: 0.020000
Training Epoch: 18 [1792/47500]	Loss: 0.4620	LR: 0.020000
Training Epoch: 18 [2048/47500]	Loss: 0.6373	LR: 0.020000
Training Epoch: 18 [2304/47500]	Loss: 0.4719	LR: 0.020000
Training Epoch: 18 [2560/47500]	Loss: 0.4894	LR: 0.020000
Training Epoch: 18 [2816/47500]	Loss: 0.4790	LR: 0.020000
Training Epoch: 18 [3072/47500]	Loss: 0.4766	LR: 0.020000
Training Epoch: 18 [3328/47500]	Loss: 0.3792	LR: 0.020000
Training Epoch: 18 [3584/47500]	Loss: 0.4771	LR: 0.020000
Training Epoch: 18 [3840/47500]	Loss: 0.4681	LR: 0.020000
Training Epoch: 18 [4096/47500]	Loss: 0.4554	LR: 0.020000
Training Epoch: 18 [4352/47500]	Loss: 0.5891	LR: 0.020000
Training Epoch: 18 [4608/47500]	Loss: 0.4528	LR: 0.020000
Training Epoch: 18 [4864/47500]	Loss: 0.4947	LR: 0.020000
Training Epoch: 18 [5120/47500]	Loss: 0.5572	LR: 0.020000
Training Epoch: 18 [5376/47500]	Loss: 0.3845	LR: 0.020000
Training Epoch: 18 [5632/47500]	Loss: 0.4948	LR: 0.020000
Training Epoch: 18 [5888/47500]	Loss: 0.5003	LR: 0.020000
Training Epoch: 18 [6144/47500]	Loss: 0.4953	LR: 0.020000
Training Epoch: 18 [6400/47500]	Loss: 0.5713	LR: 0.020000
Training Epoch: 18 [6656/47500]	Loss: 0.6132	LR: 0.020000
Training Epoch: 18 [6912/47500]	Loss: 0.5513	LR: 0.020000
Training Epoch: 18 [7168/47500]	Loss: 0.5349	LR: 0.020000
Training Epoch: 18 [7424/47500]	Loss: 0.5537	LR: 0.020000
Training Epoch: 18 [7680/47500]	Loss: 0.4967	LR: 0.020000
Training Epoch: 18 [7936/47500]	Loss: 0.5067	LR: 0.020000
Training Epoch: 18 [8192/47500]	Loss: 0.5305	LR: 0.020000
Training Epoch: 18 [8448/47500]	Loss: 0.4956	LR: 0.020000
Training Epoch: 18 [8704/47500]	Loss: 0.5377	LR: 0.020000
Training Epoch: 18 [8960/47500]	Loss: 0.4801	LR: 0.020000
Training Epoch: 18 [9216/47500]	Loss: 0.5327	LR: 0.020000
Training Epoch: 18 [9472/47500]	Loss: 0.4985	LR: 0.020000
Training Epoch: 18 [9728/47500]	Loss: 0.5087	LR: 0.020000
Training Epoch: 18 [9984/47500]	Loss: 0.4805	LR: 0.020000
Training Epoch: 18 [10240/47500]	Loss: 0.6176	LR: 0.020000
Training Epoch: 18 [10496/47500]	Loss: 0.5050	LR: 0.020000
Training Epoch: 18 [10752/47500]	Loss: 0.5465	LR: 0.020000
Training Epoch: 18 [11008/47500]	Loss: 0.5334	LR: 0.020000
Training Epoch: 18 [11264/47500]	Loss: 0.4688	LR: 0.020000
Training Epoch: 18 [11520/47500]	Loss: 0.5204	LR: 0.020000
Training Epoch: 18 [11776/47500]	Loss: 0.5743	LR: 0.020000
Training Epoch: 18 [12032/47500]	Loss: 0.4894	LR: 0.020000
Training Epoch: 18 [12288/47500]	Loss: 0.4837	LR: 0.020000
Training Epoch: 18 [12544/47500]	Loss: 0.6105	LR: 0.020000
Training Epoch: 18 [12800/47500]	Loss: 0.4976	LR: 0.020000
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Training Epoch: 18 [13312/47500]	Loss: 0.4677	LR: 0.020000
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Training Epoch: 18 [14336/47500]	Loss: 0.4646	LR: 0.020000
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Training Epoch: 18 [22528/47500]	Loss: 0.5188	LR: 0.020000
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Training Epoch: 18 [36352/47500]	Loss: 0.6720	LR: 0.020000
Training Epoch: 18 [36608/47500]	Loss: 0.5634	LR: 0.020000
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Training Epoch: 18 [37376/47500]	Loss: 0.5028	LR: 0.020000
Training Epoch: 18 [37632/47500]	Loss: 0.4425	LR: 0.020000
Training Epoch: 18 [37888/47500]	Loss: 0.4437	LR: 0.020000
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Training Epoch: 18 [40192/47500]	Loss: 0.7261	LR: 0.020000
Training Epoch: 18 [40448/47500]	Loss: 0.5752	LR: 0.020000
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Training Epoch: 18 [41728/47500]	Loss: 0.5630	LR: 0.020000
Training Epoch: 18 [41984/47500]	Loss: 0.4575	LR: 0.020000
Training Epoch: 18 [42240/47500]	Loss: 0.5616	LR: 0.020000
Training Epoch: 18 [42496/47500]	Loss: 0.4532	LR: 0.020000
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Training Epoch: 18 [43264/47500]	Loss: 0.5469	LR: 0.020000
Training Epoch: 18 [43520/47500]	Loss: 0.4671	LR: 0.020000
Training Epoch: 18 [43776/47500]	Loss: 0.6003	LR: 0.020000
Training Epoch: 18 [44032/47500]	Loss: 0.5312	LR: 0.020000
Training Epoch: 18 [44288/47500]	Loss: 0.4655	LR: 0.020000
Training Epoch: 18 [44544/47500]	Loss: 0.4990	LR: 0.020000
Training Epoch: 18 [44800/47500]	Loss: 0.4876	LR: 0.020000
Training Epoch: 18 [45056/47500]	Loss: 0.5863	LR: 0.020000
Training Epoch: 18 [45312/47500]	Loss: 0.5628	LR: 0.020000
Training Epoch: 18 [45568/47500]	Loss: 0.6031	LR: 0.020000
Training Epoch: 18 [45824/47500]	Loss: 0.5320	LR: 0.020000
Training Epoch: 18 [46080/47500]	Loss: 0.5388	LR: 0.020000
Training Epoch: 18 [46336/47500]	Loss: 0.4309	LR: 0.020000
Training Epoch: 18 [46592/47500]	Loss: 0.4606	LR: 0.020000
Training Epoch: 18 [46848/47500]	Loss: 0.4099	LR: 0.020000
Training Epoch: 18 [47104/47500]	Loss: 0.7542	LR: 0.020000
Training Epoch: 18 [47360/47500]	Loss: 0.5773	LR: 0.020000
Training Epoch: 18 [47500/47500]	Loss: 0.5936	LR: 0.020000
Epoch 18 - Average Train Loss: 0.5146, Train Accuracy: 0.8320
Epoch 18 training time consumed: 28.29s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0029, Accuracy: 0.7671, Time consumed:0.89s
Training Epoch: 19 [256/47500]	Loss: 0.4899	LR: 0.020000
Training Epoch: 19 [512/47500]	Loss: 0.3914	LR: 0.020000
Training Epoch: 19 [768/47500]	Loss: 0.4201	LR: 0.020000
Training Epoch: 19 [1024/47500]	Loss: 0.4414	LR: 0.020000
Training Epoch: 19 [1280/47500]	Loss: 0.4969	LR: 0.020000
Training Epoch: 19 [1536/47500]	Loss: 0.4725	LR: 0.020000
Training Epoch: 19 [1792/47500]	Loss: 0.5104	LR: 0.020000
Training Epoch: 19 [2048/47500]	Loss: 0.3868	LR: 0.020000
Training Epoch: 19 [2304/47500]	Loss: 0.5273	LR: 0.020000
Training Epoch: 19 [2560/47500]	Loss: 0.5504	LR: 0.020000
Training Epoch: 19 [2816/47500]	Loss: 0.5033	LR: 0.020000
Training Epoch: 19 [3072/47500]	Loss: 0.4388	LR: 0.020000
Training Epoch: 19 [3328/47500]	Loss: 0.5015	LR: 0.020000
Training Epoch: 19 [3584/47500]	Loss: 0.5333	LR: 0.020000
Training Epoch: 19 [3840/47500]	Loss: 0.4208	LR: 0.020000
Training Epoch: 19 [4096/47500]	Loss: 0.4810	LR: 0.020000
Training Epoch: 19 [4352/47500]	Loss: 0.5173	LR: 0.020000
Training Epoch: 19 [4608/47500]	Loss: 0.4223	LR: 0.020000
Training Epoch: 19 [4864/47500]	Loss: 0.4588	LR: 0.020000
Training Epoch: 19 [5120/47500]	Loss: 0.4590	LR: 0.020000
Training Epoch: 19 [5376/47500]	Loss: 0.4213	LR: 0.020000
Training Epoch: 19 [5632/47500]	Loss: 0.4524	LR: 0.020000
Training Epoch: 19 [5888/47500]	Loss: 0.3680	LR: 0.020000
Training Epoch: 19 [6144/47500]	Loss: 0.4174	LR: 0.020000
Training Epoch: 19 [6400/47500]	Loss: 0.4344	LR: 0.020000
Training Epoch: 19 [6656/47500]	Loss: 0.4876	LR: 0.020000
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Training Epoch: 19 [7168/47500]	Loss: 0.4913	LR: 0.020000
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Training Epoch: 19 [7680/47500]	Loss: 0.4510	LR: 0.020000
Training Epoch: 19 [7936/47500]	Loss: 0.4353	LR: 0.020000
Training Epoch: 19 [8192/47500]	Loss: 0.4766	LR: 0.020000
Training Epoch: 19 [8448/47500]	Loss: 0.4960	LR: 0.020000
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Training Epoch: 19 [10496/47500]	Loss: 0.4319	LR: 0.020000
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Training Epoch: 19 [11008/47500]	Loss: 0.4282	LR: 0.020000
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Training Epoch: 19 [11776/47500]	Loss: 0.3835	LR: 0.020000
Training Epoch: 19 [12032/47500]	Loss: 0.4174	LR: 0.020000
Training Epoch: 19 [12288/47500]	Loss: 0.4817	LR: 0.020000
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Training Epoch: 19 [12800/47500]	Loss: 0.4742	LR: 0.020000
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Training Epoch: 19 [13312/47500]	Loss: 0.4583	LR: 0.020000
Training Epoch: 19 [13568/47500]	Loss: 0.3900	LR: 0.020000
Training Epoch: 19 [13824/47500]	Loss: 0.5010	LR: 0.020000
Training Epoch: 19 [14080/47500]	Loss: 0.3804	LR: 0.020000
Training Epoch: 19 [14336/47500]	Loss: 0.5233	LR: 0.020000
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Training Epoch: 19 [47500/47500]	Loss: 0.4326	LR: 0.020000
Epoch 19 - Average Train Loss: 0.4855, Train Accuracy: 0.8380
Epoch 19 training time consumed: 28.91s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0029, Accuracy: 0.7732, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_21h_46m_16s/ResNet18-Cifar20-seed8-ret50-19-best.pth
Training Epoch: 20 [256/47500]	Loss: 0.4112	LR: 0.020000
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Training Epoch: 20 [47500/47500]	Loss: 0.5195	LR: 0.020000
Epoch 20 - Average Train Loss: 0.4671, Train Accuracy: 0.8435
Epoch 20 training time consumed: 28.40s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0029, Accuracy: 0.7738, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_21h_46m_16s/ResNet18-Cifar20-seed8-ret50-20-best.pth
Training Epoch: 21 [256/47500]	Loss: 0.3993	LR: 0.020000
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Training Epoch: 21 [47500/47500]	Loss: 0.5021	LR: 0.020000
Epoch 21 - Average Train Loss: 0.4500, Train Accuracy: 0.8497
Epoch 21 training time consumed: 28.41s
Evaluating Network.....
Test set: Epoch: 21, Average loss: 0.0029, Accuracy: 0.7747, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_21h_46m_16s/ResNet18-Cifar20-seed8-ret50-21-best.pth
Training Epoch: 22 [256/47500]	Loss: 0.5256	LR: 0.020000
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Training Epoch: 22 [17152/47500]	Loss: 0.4860	LR: 0.020000
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Training Epoch: 22 [19968/47500]	Loss: 0.4332	LR: 0.020000
Training Epoch: 22 [20224/47500]	Loss: 0.5058	LR: 0.020000
Training Epoch: 22 [20480/47500]	Loss: 0.5236	LR: 0.020000
Training Epoch: 22 [20736/47500]	Loss: 0.4300	LR: 0.020000
Training Epoch: 22 [20992/47500]	Loss: 0.4361	LR: 0.020000
Training Epoch: 22 [21248/47500]	Loss: 0.3919	LR: 0.020000
Training Epoch: 22 [21504/47500]	Loss: 0.3623	LR: 0.020000
Training Epoch: 22 [21760/47500]	Loss: 0.4057	LR: 0.020000
Training Epoch: 22 [22016/47500]	Loss: 0.4234	LR: 0.020000
Training Epoch: 22 [22272/47500]	Loss: 0.4103	LR: 0.020000
Training Epoch: 22 [22528/47500]	Loss: 0.3595	LR: 0.020000
Training Epoch: 22 [22784/47500]	Loss: 0.4109	LR: 0.020000
Training Epoch: 22 [23040/47500]	Loss: 0.3796	LR: 0.020000
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Training Epoch: 22 [24576/47500]	Loss: 0.3255	LR: 0.020000
Training Epoch: 22 [24832/47500]	Loss: 0.4354	LR: 0.020000
Training Epoch: 22 [25088/47500]	Loss: 0.4191	LR: 0.020000
Training Epoch: 22 [25344/47500]	Loss: 0.3353	LR: 0.020000
Training Epoch: 22 [25600/47500]	Loss: 0.4144	LR: 0.020000
Training Epoch: 22 [25856/47500]	Loss: 0.3541	LR: 0.020000
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Training Epoch: 22 [27648/47500]	Loss: 0.4776	LR: 0.020000
Training Epoch: 22 [27904/47500]	Loss: 0.4812	LR: 0.020000
Training Epoch: 22 [28160/47500]	Loss: 0.4697	LR: 0.020000
Training Epoch: 22 [28416/47500]	Loss: 0.4594	LR: 0.020000
Training Epoch: 22 [28672/47500]	Loss: 0.3653	LR: 0.020000
Training Epoch: 22 [28928/47500]	Loss: 0.5103	LR: 0.020000
Training Epoch: 22 [29184/47500]	Loss: 0.4526	LR: 0.020000
Training Epoch: 22 [29440/47500]	Loss: 0.3864	LR: 0.020000
Training Epoch: 22 [29696/47500]	Loss: 0.3991	LR: 0.020000
Training Epoch: 22 [29952/47500]	Loss: 0.3272	LR: 0.020000
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Training Epoch: 22 [30464/47500]	Loss: 0.4043	LR: 0.020000
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Training Epoch: 22 [30976/47500]	Loss: 0.3691	LR: 0.020000
Training Epoch: 22 [31232/47500]	Loss: 0.3380	LR: 0.020000
Training Epoch: 22 [31488/47500]	Loss: 0.4096	LR: 0.020000
Training Epoch: 22 [31744/47500]	Loss: 0.4634	LR: 0.020000
Training Epoch: 22 [32000/47500]	Loss: 0.4134	LR: 0.020000
Training Epoch: 22 [32256/47500]	Loss: 0.4692	LR: 0.020000
Training Epoch: 22 [32512/47500]	Loss: 0.3183	LR: 0.020000
Training Epoch: 22 [32768/47500]	Loss: 0.5316	LR: 0.020000
Training Epoch: 22 [33024/47500]	Loss: 0.4811	LR: 0.020000
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Training Epoch: 22 [34816/47500]	Loss: 0.5164	LR: 0.020000
Training Epoch: 22 [35072/47500]	Loss: 0.4246	LR: 0.020000
Training Epoch: 22 [35328/47500]	Loss: 0.4761	LR: 0.020000
Training Epoch: 22 [35584/47500]	Loss: 0.4122	LR: 0.020000
Training Epoch: 22 [35840/47500]	Loss: 0.5132	LR: 0.020000
Training Epoch: 22 [36096/47500]	Loss: 0.4781	LR: 0.020000
Training Epoch: 22 [36352/47500]	Loss: 0.5143	LR: 0.020000
Training Epoch: 22 [36608/47500]	Loss: 0.5029	LR: 0.020000
Training Epoch: 22 [36864/47500]	Loss: 0.5034	LR: 0.020000
Training Epoch: 22 [37120/47500]	Loss: 0.3873	LR: 0.020000
Training Epoch: 22 [37376/47500]	Loss: 0.4848	LR: 0.020000
Training Epoch: 22 [37632/47500]	Loss: 0.4651	LR: 0.020000
Training Epoch: 22 [37888/47500]	Loss: 0.5015	LR: 0.020000
Training Epoch: 22 [38144/47500]	Loss: 0.4454	LR: 0.020000
Training Epoch: 22 [38400/47500]	Loss: 0.4815	LR: 0.020000
Training Epoch: 22 [38656/47500]	Loss: 0.3577	LR: 0.020000
Training Epoch: 22 [38912/47500]	Loss: 0.4362	LR: 0.020000
Training Epoch: 22 [39168/47500]	Loss: 0.4209	LR: 0.020000
Training Epoch: 22 [39424/47500]	Loss: 0.5172	LR: 0.020000
Training Epoch: 22 [39680/47500]	Loss: 0.3527	LR: 0.020000
Training Epoch: 22 [39936/47500]	Loss: 0.4300	LR: 0.020000
Training Epoch: 22 [40192/47500]	Loss: 0.4421	LR: 0.020000
Training Epoch: 22 [40448/47500]	Loss: 0.4878	LR: 0.020000
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Training Epoch: 22 [40960/47500]	Loss: 0.3822	LR: 0.020000
Training Epoch: 22 [41216/47500]	Loss: 0.4639	LR: 0.020000
Training Epoch: 22 [41472/47500]	Loss: 0.4571	LR: 0.020000
Training Epoch: 22 [41728/47500]	Loss: 0.4742	LR: 0.020000
Training Epoch: 22 [41984/47500]	Loss: 0.5071	LR: 0.020000
Training Epoch: 22 [42240/47500]	Loss: 0.4157	LR: 0.020000
Training Epoch: 22 [42496/47500]	Loss: 0.3815	LR: 0.020000
Training Epoch: 22 [42752/47500]	Loss: 0.4716	LR: 0.020000
Training Epoch: 22 [43008/47500]	Loss: 0.4060	LR: 0.020000
Training Epoch: 22 [43264/47500]	Loss: 0.4997	LR: 0.020000
Training Epoch: 22 [43520/47500]	Loss: 0.4437	LR: 0.020000
Training Epoch: 22 [43776/47500]	Loss: 0.5950	LR: 0.020000
Training Epoch: 22 [44032/47500]	Loss: 0.4343	LR: 0.020000
Training Epoch: 22 [44288/47500]	Loss: 0.4198	LR: 0.020000
Training Epoch: 22 [44544/47500]	Loss: 0.5489	LR: 0.020000
Training Epoch: 22 [44800/47500]	Loss: 0.4001	LR: 0.020000
Training Epoch: 22 [45056/47500]	Loss: 0.3801	LR: 0.020000
Training Epoch: 22 [45312/47500]	Loss: 0.4493	LR: 0.020000
Training Epoch: 22 [45568/47500]	Loss: 0.3403	LR: 0.020000
Training Epoch: 22 [45824/47500]	Loss: 0.3800	LR: 0.020000
Training Epoch: 22 [46080/47500]	Loss: 0.4822	LR: 0.020000
Training Epoch: 22 [46336/47500]	Loss: 0.3761	LR: 0.020000
Training Epoch: 22 [46592/47500]	Loss: 0.4357	LR: 0.020000
Training Epoch: 22 [46848/47500]	Loss: 0.4824	LR: 0.020000
Training Epoch: 22 [47104/47500]	Loss: 0.3913	LR: 0.020000
Training Epoch: 22 [47360/47500]	Loss: 0.4191	LR: 0.020000
Training Epoch: 22 [47500/47500]	Loss: 0.4629	LR: 0.020000
Epoch 22 - Average Train Loss: 0.4245, Train Accuracy: 0.8591
Epoch 22 training time consumed: 28.40s
Evaluating Network.....
Test set: Epoch: 22, Average loss: 0.0031, Accuracy: 0.7746, Time consumed:0.88s
Training Epoch: 23 [256/47500]	Loss: 0.4222	LR: 0.020000
Training Epoch: 23 [512/47500]	Loss: 0.3950	LR: 0.020000
Training Epoch: 23 [768/47500]	Loss: 0.3913	LR: 0.020000
Training Epoch: 23 [1024/47500]	Loss: 0.3315	LR: 0.020000
Training Epoch: 23 [1280/47500]	Loss: 0.4498	LR: 0.020000
Training Epoch: 23 [1536/47500]	Loss: 0.4718	LR: 0.020000
Training Epoch: 23 [1792/47500]	Loss: 0.3065	LR: 0.020000
Training Epoch: 23 [2048/47500]	Loss: 0.3515	LR: 0.020000
Training Epoch: 23 [2304/47500]	Loss: 0.4692	LR: 0.020000
Training Epoch: 23 [2560/47500]	Loss: 0.4639	LR: 0.020000
Training Epoch: 23 [2816/47500]	Loss: 0.3850	LR: 0.020000
Training Epoch: 23 [3072/47500]	Loss: 0.4082	LR: 0.020000
Training Epoch: 23 [3328/47500]	Loss: 0.3453	LR: 0.020000
Training Epoch: 23 [3584/47500]	Loss: 0.3990	LR: 0.020000
Training Epoch: 23 [3840/47500]	Loss: 0.3205	LR: 0.020000
Training Epoch: 23 [4096/47500]	Loss: 0.3843	LR: 0.020000
Training Epoch: 23 [4352/47500]	Loss: 0.3504	LR: 0.020000
Training Epoch: 23 [4608/47500]	Loss: 0.3731	LR: 0.020000
Training Epoch: 23 [4864/47500]	Loss: 0.3882	LR: 0.020000
Training Epoch: 23 [5120/47500]	Loss: 0.4248	LR: 0.020000
Training Epoch: 23 [5376/47500]	Loss: 0.3673	LR: 0.020000
Training Epoch: 23 [5632/47500]	Loss: 0.3869	LR: 0.020000
Training Epoch: 23 [5888/47500]	Loss: 0.4021	LR: 0.020000
Training Epoch: 23 [6144/47500]	Loss: 0.4053	LR: 0.020000
Training Epoch: 23 [6400/47500]	Loss: 0.3656	LR: 0.020000
Training Epoch: 23 [6656/47500]	Loss: 0.3969	LR: 0.020000
Training Epoch: 23 [6912/47500]	Loss: 0.3426	LR: 0.020000
Training Epoch: 23 [7168/47500]	Loss: 0.2926	LR: 0.020000
Training Epoch: 23 [7424/47500]	Loss: 0.3902	LR: 0.020000
Training Epoch: 23 [7680/47500]	Loss: 0.3935	LR: 0.020000
Training Epoch: 23 [7936/47500]	Loss: 0.3585	LR: 0.020000
Training Epoch: 23 [8192/47500]	Loss: 0.4568	LR: 0.020000
Training Epoch: 23 [8448/47500]	Loss: 0.3865	LR: 0.020000
Training Epoch: 23 [8704/47500]	Loss: 0.3665	LR: 0.020000
Training Epoch: 23 [8960/47500]	Loss: 0.4278	LR: 0.020000
Training Epoch: 23 [9216/47500]	Loss: 0.3396	LR: 0.020000
Training Epoch: 23 [9472/47500]	Loss: 0.4427	LR: 0.020000
Training Epoch: 23 [9728/47500]	Loss: 0.3907	LR: 0.020000
Training Epoch: 23 [9984/47500]	Loss: 0.4464	LR: 0.020000
Training Epoch: 23 [10240/47500]	Loss: 0.3993	LR: 0.020000
Training Epoch: 23 [10496/47500]	Loss: 0.3888	LR: 0.020000
Training Epoch: 23 [10752/47500]	Loss: 0.4080	LR: 0.020000
Training Epoch: 23 [11008/47500]	Loss: 0.2813	LR: 0.020000
Training Epoch: 23 [11264/47500]	Loss: 0.3726	LR: 0.020000
Training Epoch: 23 [11520/47500]	Loss: 0.3095	LR: 0.020000
Training Epoch: 23 [11776/47500]	Loss: 0.3322	LR: 0.020000
Training Epoch: 23 [12032/47500]	Loss: 0.4003	LR: 0.020000
Training Epoch: 23 [12288/47500]	Loss: 0.3625	LR: 0.020000
Training Epoch: 23 [12544/47500]	Loss: 0.4116	LR: 0.020000
Training Epoch: 23 [12800/47500]	Loss: 0.4254	LR: 0.020000
Training Epoch: 23 [13056/47500]	Loss: 0.4099	LR: 0.020000
Training Epoch: 23 [13312/47500]	Loss: 0.4487	LR: 0.020000
Training Epoch: 23 [13568/47500]	Loss: 0.4454	LR: 0.020000
Training Epoch: 23 [13824/47500]	Loss: 0.4009	LR: 0.020000
Training Epoch: 23 [14080/47500]	Loss: 0.4138	LR: 0.020000
Training Epoch: 23 [14336/47500]	Loss: 0.3520	LR: 0.020000
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Training Epoch: 23 [15360/47500]	Loss: 0.3951	LR: 0.020000
Training Epoch: 23 [15616/47500]	Loss: 0.2781	LR: 0.020000
Training Epoch: 23 [15872/47500]	Loss: 0.4394	LR: 0.020000
Training Epoch: 23 [16128/47500]	Loss: 0.3067	LR: 0.020000
Training Epoch: 23 [16384/47500]	Loss: 0.3403	LR: 0.020000
Training Epoch: 23 [16640/47500]	Loss: 0.5070	LR: 0.020000
Training Epoch: 23 [16896/47500]	Loss: 0.3758	LR: 0.020000
Training Epoch: 23 [17152/47500]	Loss: 0.3665	LR: 0.020000
Training Epoch: 23 [17408/47500]	Loss: 0.5130	LR: 0.020000
Training Epoch: 23 [17664/47500]	Loss: 0.3288	LR: 0.020000
Training Epoch: 23 [17920/47500]	Loss: 0.3471	LR: 0.020000
Training Epoch: 23 [18176/47500]	Loss: 0.3443	LR: 0.020000
Training Epoch: 23 [18432/47500]	Loss: 0.3453	LR: 0.020000
Training Epoch: 23 [18688/47500]	Loss: 0.3237	LR: 0.020000
Training Epoch: 23 [18944/47500]	Loss: 0.3975	LR: 0.020000
Training Epoch: 23 [19200/47500]	Loss: 0.4145	LR: 0.020000
Training Epoch: 23 [19456/47500]	Loss: 0.3851	LR: 0.020000
Training Epoch: 23 [19712/47500]	Loss: 0.3805	LR: 0.020000
Training Epoch: 23 [19968/47500]	Loss: 0.3675	LR: 0.020000
Training Epoch: 23 [20224/47500]	Loss: 0.5019	LR: 0.020000
Training Epoch: 23 [20480/47500]	Loss: 0.3908	LR: 0.020000
Training Epoch: 23 [20736/47500]	Loss: 0.3576	LR: 0.020000
Training Epoch: 23 [20992/47500]	Loss: 0.3882	LR: 0.020000
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Training Epoch: 23 [21504/47500]	Loss: 0.3593	LR: 0.020000
Training Epoch: 23 [21760/47500]	Loss: 0.4258	LR: 0.020000
Training Epoch: 23 [22016/47500]	Loss: 0.4457	LR: 0.020000
Training Epoch: 23 [22272/47500]	Loss: 0.4773	LR: 0.020000
Training Epoch: 23 [22528/47500]	Loss: 0.4066	LR: 0.020000
Training Epoch: 23 [22784/47500]	Loss: 0.3371	LR: 0.020000
Training Epoch: 23 [23040/47500]	Loss: 0.4931	LR: 0.020000
Training Epoch: 23 [23296/47500]	Loss: 0.4277	LR: 0.020000
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Training Epoch: 23 [23808/47500]	Loss: 0.3405	LR: 0.020000
Training Epoch: 23 [24064/47500]	Loss: 0.3361	LR: 0.020000
Training Epoch: 23 [24320/47500]	Loss: 0.3755	LR: 0.020000
Training Epoch: 23 [24576/47500]	Loss: 0.3845	LR: 0.020000
Training Epoch: 23 [24832/47500]	Loss: 0.4337	LR: 0.020000
Training Epoch: 23 [25088/47500]	Loss: 0.3892	LR: 0.020000
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Training Epoch: 23 [25600/47500]	Loss: 0.3692	LR: 0.020000
Training Epoch: 23 [25856/47500]	Loss: 0.3294	LR: 0.020000
Training Epoch: 23 [26112/47500]	Loss: 0.3497	LR: 0.020000
Training Epoch: 23 [26368/47500]	Loss: 0.3786	LR: 0.020000
Training Epoch: 23 [26624/47500]	Loss: 0.3995	LR: 0.020000
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Training Epoch: 23 [28160/47500]	Loss: 0.4987	LR: 0.020000
Training Epoch: 23 [28416/47500]	Loss: 0.3807	LR: 0.020000
Training Epoch: 23 [28672/47500]	Loss: 0.3271	LR: 0.020000
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Training Epoch: 23 [29440/47500]	Loss: 0.4877	LR: 0.020000
Training Epoch: 23 [29696/47500]	Loss: 0.3026	LR: 0.020000
Training Epoch: 23 [29952/47500]	Loss: 0.4470	LR: 0.020000
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Training Epoch: 23 [30720/47500]	Loss: 0.4088	LR: 0.020000
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Training Epoch: 23 [35328/47500]	Loss: 0.4773	LR: 0.020000
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Training Epoch: 23 [36096/47500]	Loss: 0.3969	LR: 0.020000
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Training Epoch: 23 [37376/47500]	Loss: 0.3341	LR: 0.020000
Training Epoch: 23 [37632/47500]	Loss: 0.4513	LR: 0.020000
Training Epoch: 23 [37888/47500]	Loss: 0.3826	LR: 0.020000
Training Epoch: 23 [38144/47500]	Loss: 0.4144	LR: 0.020000
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Training Epoch: 23 [38656/47500]	Loss: 0.4652	LR: 0.020000
Training Epoch: 23 [38912/47500]	Loss: 0.4116	LR: 0.020000
Training Epoch: 23 [39168/47500]	Loss: 0.4105	LR: 0.020000
Training Epoch: 23 [39424/47500]	Loss: 0.4365	LR: 0.020000
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Training Epoch: 23 [39936/47500]	Loss: 0.3973	LR: 0.020000
Training Epoch: 23 [40192/47500]	Loss: 0.3625	LR: 0.020000
Training Epoch: 23 [40448/47500]	Loss: 0.4498	LR: 0.020000
Training Epoch: 23 [40704/47500]	Loss: 0.5203	LR: 0.020000
Training Epoch: 23 [40960/47500]	Loss: 0.3706	LR: 0.020000
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Training Epoch: 23 [42752/47500]	Loss: 0.4675	LR: 0.020000
Training Epoch: 23 [43008/47500]	Loss: 0.4323	LR: 0.020000
Training Epoch: 23 [43264/47500]	Loss: 0.5194	LR: 0.020000
Training Epoch: 23 [43520/47500]	Loss: 0.4850	LR: 0.020000
Training Epoch: 23 [43776/47500]	Loss: 0.3103	LR: 0.020000
Training Epoch: 23 [44032/47500]	Loss: 0.3842	LR: 0.020000
Training Epoch: 23 [44288/47500]	Loss: 0.3967	LR: 0.020000
Training Epoch: 23 [44544/47500]	Loss: 0.4974	LR: 0.020000
Training Epoch: 23 [44800/47500]	Loss: 0.4583	LR: 0.020000
Training Epoch: 23 [45056/47500]	Loss: 0.4042	LR: 0.020000
Training Epoch: 23 [45312/47500]	Loss: 0.4532	LR: 0.020000
Training Epoch: 23 [45568/47500]	Loss: 0.4086	LR: 0.020000
Training Epoch: 23 [45824/47500]	Loss: 0.5174	LR: 0.020000
Training Epoch: 23 [46080/47500]	Loss: 0.4073	LR: 0.020000
Training Epoch: 23 [46336/47500]	Loss: 0.3918	LR: 0.020000
Training Epoch: 23 [46592/47500]	Loss: 0.4981	LR: 0.020000
Training Epoch: 23 [46848/47500]	Loss: 0.3818	LR: 0.020000
Training Epoch: 23 [47104/47500]	Loss: 0.4101	LR: 0.020000
Training Epoch: 23 [47360/47500]	Loss: 0.3632	LR: 0.020000
Training Epoch: 23 [47500/47500]	Loss: 0.4176	LR: 0.020000
Epoch 23 - Average Train Loss: 0.4046, Train Accuracy: 0.8653
Epoch 23 training time consumed: 28.29s
Evaluating Network.....
Test set: Epoch: 23, Average loss: 0.0033, Accuracy: 0.7587, Time consumed:0.87s
Training Epoch: 24 [256/47500]	Loss: 0.3858	LR: 0.020000
Training Epoch: 24 [512/47500]	Loss: 0.3648	LR: 0.020000
Training Epoch: 24 [768/47500]	Loss: 0.4600	LR: 0.020000
Training Epoch: 24 [1024/47500]	Loss: 0.3663	LR: 0.020000
Training Epoch: 24 [1280/47500]	Loss: 0.3975	LR: 0.020000
Training Epoch: 24 [1536/47500]	Loss: 0.4454	LR: 0.020000
Training Epoch: 24 [1792/47500]	Loss: 0.3050	LR: 0.020000
Training Epoch: 24 [2048/47500]	Loss: 0.5054	LR: 0.020000
Training Epoch: 24 [2304/47500]	Loss: 0.3639	LR: 0.020000
Training Epoch: 24 [2560/47500]	Loss: 0.3546	LR: 0.020000
Training Epoch: 24 [2816/47500]	Loss: 0.3566	LR: 0.020000
Training Epoch: 24 [3072/47500]	Loss: 0.3732	LR: 0.020000
Training Epoch: 24 [3328/47500]	Loss: 0.4281	LR: 0.020000
Training Epoch: 24 [3584/47500]	Loss: 0.3825	LR: 0.020000
Training Epoch: 24 [3840/47500]	Loss: 0.4162	LR: 0.020000
Training Epoch: 24 [4096/47500]	Loss: 0.3213	LR: 0.020000
Training Epoch: 24 [4352/47500]	Loss: 0.3580	LR: 0.020000
Training Epoch: 24 [4608/47500]	Loss: 0.3356	LR: 0.020000
Training Epoch: 24 [4864/47500]	Loss: 0.3951	LR: 0.020000
Training Epoch: 24 [5120/47500]	Loss: 0.3374	LR: 0.020000
Training Epoch: 24 [5376/47500]	Loss: 0.4100	LR: 0.020000
Training Epoch: 24 [5632/47500]	Loss: 0.3803	LR: 0.020000
Training Epoch: 24 [5888/47500]	Loss: 0.4812	LR: 0.020000
Training Epoch: 24 [6144/47500]	Loss: 0.3941	LR: 0.020000
Training Epoch: 24 [6400/47500]	Loss: 0.3653	LR: 0.020000
Training Epoch: 24 [6656/47500]	Loss: 0.2916	LR: 0.020000
Training Epoch: 24 [6912/47500]	Loss: 0.3941	LR: 0.020000
Training Epoch: 24 [7168/47500]	Loss: 0.3243	LR: 0.020000
Training Epoch: 24 [7424/47500]	Loss: 0.3766	LR: 0.020000
Training Epoch: 24 [7680/47500]	Loss: 0.2590	LR: 0.020000
Training Epoch: 24 [7936/47500]	Loss: 0.4030	LR: 0.020000
Training Epoch: 24 [8192/47500]	Loss: 0.3481	LR: 0.020000
Training Epoch: 24 [8448/47500]	Loss: 0.2897	LR: 0.020000
Training Epoch: 24 [8704/47500]	Loss: 0.3180	LR: 0.020000
Training Epoch: 24 [8960/47500]	Loss: 0.3455	LR: 0.020000
Training Epoch: 24 [9216/47500]	Loss: 0.3321	LR: 0.020000
Training Epoch: 24 [9472/47500]	Loss: 0.3511	LR: 0.020000
Training Epoch: 24 [9728/47500]	Loss: 0.3054	LR: 0.020000
Training Epoch: 24 [9984/47500]	Loss: 0.3673	LR: 0.020000
Training Epoch: 24 [10240/47500]	Loss: 0.3763	LR: 0.020000
Training Epoch: 24 [10496/47500]	Loss: 0.4166	LR: 0.020000
Training Epoch: 24 [10752/47500]	Loss: 0.3801	LR: 0.020000
Training Epoch: 24 [11008/47500]	Loss: 0.2891	LR: 0.020000
Training Epoch: 24 [11264/47500]	Loss: 0.4247	LR: 0.020000
Training Epoch: 24 [11520/47500]	Loss: 0.3247	LR: 0.020000
Training Epoch: 24 [11776/47500]	Loss: 0.3938	LR: 0.020000
Training Epoch: 24 [12032/47500]	Loss: 0.4025	LR: 0.020000
Training Epoch: 24 [12288/47500]	Loss: 0.3797	LR: 0.020000
Training Epoch: 24 [12544/47500]	Loss: 0.3731	LR: 0.020000
Training Epoch: 24 [12800/47500]	Loss: 0.3123	LR: 0.020000
Training Epoch: 24 [13056/47500]	Loss: 0.3404	LR: 0.020000
Training Epoch: 24 [13312/47500]	Loss: 0.4343	LR: 0.020000
Training Epoch: 24 [13568/47500]	Loss: 0.3593	LR: 0.020000
Training Epoch: 24 [13824/47500]	Loss: 0.2745	LR: 0.020000
Training Epoch: 24 [14080/47500]	Loss: 0.3651	LR: 0.020000
Training Epoch: 24 [14336/47500]	Loss: 0.4485	LR: 0.020000
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Training Epoch: 24 [15104/47500]	Loss: 0.3922	LR: 0.020000
Training Epoch: 24 [15360/47500]	Loss: 0.4061	LR: 0.020000
Training Epoch: 24 [15616/47500]	Loss: 0.4108	LR: 0.020000
Training Epoch: 24 [15872/47500]	Loss: 0.4000	LR: 0.020000
Training Epoch: 24 [16128/47500]	Loss: 0.4143	LR: 0.020000
Training Epoch: 24 [16384/47500]	Loss: 0.3295	LR: 0.020000
Training Epoch: 24 [16640/47500]	Loss: 0.3436	LR: 0.020000
Training Epoch: 24 [16896/47500]	Loss: 0.3726	LR: 0.020000
Training Epoch: 24 [17152/47500]	Loss: 0.3857	LR: 0.020000
Training Epoch: 24 [17408/47500]	Loss: 0.5095	LR: 0.020000
Training Epoch: 24 [17664/47500]	Loss: 0.3965	LR: 0.020000
Training Epoch: 24 [17920/47500]	Loss: 0.3516	LR: 0.020000
Training Epoch: 24 [18176/47500]	Loss: 0.4580	LR: 0.020000
Training Epoch: 24 [18432/47500]	Loss: 0.4617	LR: 0.020000
Training Epoch: 24 [18688/47500]	Loss: 0.3533	LR: 0.020000
Training Epoch: 24 [18944/47500]	Loss: 0.3824	LR: 0.020000
Training Epoch: 24 [19200/47500]	Loss: 0.3971	LR: 0.020000
Training Epoch: 24 [19456/47500]	Loss: 0.5357	LR: 0.020000
Training Epoch: 24 [19712/47500]	Loss: 0.4251	LR: 0.020000
Training Epoch: 24 [19968/47500]	Loss: 0.4245	LR: 0.020000
Training Epoch: 24 [20224/47500]	Loss: 0.3716	LR: 0.020000
Training Epoch: 24 [20480/47500]	Loss: 0.3651	LR: 0.020000
Training Epoch: 24 [20736/47500]	Loss: 0.4123	LR: 0.020000
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Training Epoch: 24 [21760/47500]	Loss: 0.3841	LR: 0.020000
Training Epoch: 24 [22016/47500]	Loss: 0.3636	LR: 0.020000
Training Epoch: 24 [22272/47500]	Loss: 0.3505	LR: 0.020000
Training Epoch: 24 [22528/47500]	Loss: 0.2819	LR: 0.020000
Training Epoch: 24 [22784/47500]	Loss: 0.3070	LR: 0.020000
Training Epoch: 24 [23040/47500]	Loss: 0.4253	LR: 0.020000
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Training Epoch: 24 [28160/47500]	Loss: 0.3588	LR: 0.020000
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Training Epoch: 24 [37888/47500]	Loss: 0.3584	LR: 0.020000
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Training Epoch: 24 [38656/47500]	Loss: 0.4411	LR: 0.020000
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Training Epoch: 24 [40192/47500]	Loss: 0.3528	LR: 0.020000
Training Epoch: 24 [40448/47500]	Loss: 0.3609	LR: 0.020000
Training Epoch: 24 [40704/47500]	Loss: 0.5066	LR: 0.020000
Training Epoch: 24 [40960/47500]	Loss: 0.4031	LR: 0.020000
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Training Epoch: 24 [41472/47500]	Loss: 0.4536	LR: 0.020000
Training Epoch: 24 [41728/47500]	Loss: 0.4840	LR: 0.020000
Training Epoch: 24 [41984/47500]	Loss: 0.4939	LR: 0.020000
Training Epoch: 24 [42240/47500]	Loss: 0.4761	LR: 0.020000
Training Epoch: 24 [42496/47500]	Loss: 0.4331	LR: 0.020000
Training Epoch: 24 [42752/47500]	Loss: 0.3968	LR: 0.020000
Training Epoch: 24 [43008/47500]	Loss: 0.4050	LR: 0.020000
Training Epoch: 24 [43264/47500]	Loss: 0.5429	LR: 0.020000
Training Epoch: 24 [43520/47500]	Loss: 0.3897	LR: 0.020000
Training Epoch: 24 [43776/47500]	Loss: 0.4504	LR: 0.020000
Training Epoch: 24 [44032/47500]	Loss: 0.4775	LR: 0.020000
Training Epoch: 24 [44288/47500]	Loss: 0.4445	LR: 0.020000
Training Epoch: 24 [44544/47500]	Loss: 0.4985	LR: 0.020000
Training Epoch: 24 [44800/47500]	Loss: 0.4542	LR: 0.020000
Training Epoch: 24 [45056/47500]	Loss: 0.3381	LR: 0.020000
Training Epoch: 24 [45312/47500]	Loss: 0.4180	LR: 0.020000
Training Epoch: 24 [45568/47500]	Loss: 0.4321	LR: 0.020000
Training Epoch: 24 [45824/47500]	Loss: 0.4640	LR: 0.020000
Training Epoch: 24 [46080/47500]	Loss: 0.4561	LR: 0.020000
Training Epoch: 24 [46336/47500]	Loss: 0.3498	LR: 0.020000
Training Epoch: 24 [46592/47500]	Loss: 0.4917	LR: 0.020000
Training Epoch: 24 [46848/47500]	Loss: 0.4272	LR: 0.020000
Training Epoch: 24 [47104/47500]	Loss: 0.4311	LR: 0.020000
Training Epoch: 24 [47360/47500]	Loss: 0.5537	LR: 0.020000
Training Epoch: 24 [47500/47500]	Loss: 0.3676	LR: 0.020000
Epoch 24 - Average Train Loss: 0.3960, Train Accuracy: 0.8679
Epoch 24 training time consumed: 28.25s
Evaluating Network.....
Test set: Epoch: 24, Average loss: 0.0033, Accuracy: 0.7614, Time consumed:0.88s
Training Epoch: 25 [256/47500]	Loss: 0.3841	LR: 0.020000
Training Epoch: 25 [512/47500]	Loss: 0.4452	LR: 0.020000
Training Epoch: 25 [768/47500]	Loss: 0.3081	LR: 0.020000
Training Epoch: 25 [1024/47500]	Loss: 0.3374	LR: 0.020000
Training Epoch: 25 [1280/47500]	Loss: 0.3904	LR: 0.020000
Training Epoch: 25 [1536/47500]	Loss: 0.3656	LR: 0.020000
Training Epoch: 25 [1792/47500]	Loss: 0.2821	LR: 0.020000
Training Epoch: 25 [2048/47500]	Loss: 0.3721	LR: 0.020000
Training Epoch: 25 [2304/47500]	Loss: 0.4211	LR: 0.020000
Training Epoch: 25 [2560/47500]	Loss: 0.4009	LR: 0.020000
Training Epoch: 25 [2816/47500]	Loss: 0.2977	LR: 0.020000
Training Epoch: 25 [3072/47500]	Loss: 0.3538	LR: 0.020000
Training Epoch: 25 [3328/47500]	Loss: 0.3172	LR: 0.020000
Training Epoch: 25 [3584/47500]	Loss: 0.3466	LR: 0.020000
Training Epoch: 25 [3840/47500]	Loss: 0.4554	LR: 0.020000
Training Epoch: 25 [4096/47500]	Loss: 0.4310	LR: 0.020000
Training Epoch: 25 [4352/47500]	Loss: 0.3538	LR: 0.020000
Training Epoch: 25 [4608/47500]	Loss: 0.2610	LR: 0.020000
Training Epoch: 25 [4864/47500]	Loss: 0.3556	LR: 0.020000
Training Epoch: 25 [5120/47500]	Loss: 0.2984	LR: 0.020000
Training Epoch: 25 [5376/47500]	Loss: 0.3339	LR: 0.020000
Training Epoch: 25 [5632/47500]	Loss: 0.3090	LR: 0.020000
Training Epoch: 25 [5888/47500]	Loss: 0.3561	LR: 0.020000
Training Epoch: 25 [6144/47500]	Loss: 0.2774	LR: 0.020000
Training Epoch: 25 [6400/47500]	Loss: 0.4051	LR: 0.020000
Training Epoch: 25 [6656/47500]	Loss: 0.2991	LR: 0.020000
Training Epoch: 25 [6912/47500]	Loss: 0.3631	LR: 0.020000
Training Epoch: 25 [7168/47500]	Loss: 0.3728	LR: 0.020000
Training Epoch: 25 [7424/47500]	Loss: 0.3991	LR: 0.020000
Training Epoch: 25 [7680/47500]	Loss: 0.3639	LR: 0.020000
Training Epoch: 25 [7936/47500]	Loss: 0.3809	LR: 0.020000
Training Epoch: 25 [8192/47500]	Loss: 0.3714	LR: 0.020000
Training Epoch: 25 [8448/47500]	Loss: 0.2716	LR: 0.020000
Training Epoch: 25 [8704/47500]	Loss: 0.2681	LR: 0.020000
Training Epoch: 25 [8960/47500]	Loss: 0.3425	LR: 0.020000
Training Epoch: 25 [9216/47500]	Loss: 0.3751	LR: 0.020000
Training Epoch: 25 [9472/47500]	Loss: 0.4608	LR: 0.020000
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Training Epoch: 25 [9984/47500]	Loss: 0.3633	LR: 0.020000
Training Epoch: 25 [10240/47500]	Loss: 0.3332	LR: 0.020000
Training Epoch: 25 [10496/47500]	Loss: 0.4704	LR: 0.020000
Training Epoch: 25 [10752/47500]	Loss: 0.3973	LR: 0.020000
Training Epoch: 25 [11008/47500]	Loss: 0.3356	LR: 0.020000
Training Epoch: 25 [11264/47500]	Loss: 0.4596	LR: 0.020000
Training Epoch: 25 [11520/47500]	Loss: 0.2871	LR: 0.020000
Training Epoch: 25 [11776/47500]	Loss: 0.4283	LR: 0.020000
Training Epoch: 25 [12032/47500]	Loss: 0.4145	LR: 0.020000
Training Epoch: 25 [12288/47500]	Loss: 0.4160	LR: 0.020000
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Training Epoch: 25 [13056/47500]	Loss: 0.3701	LR: 0.020000
Training Epoch: 25 [13312/47500]	Loss: 0.4525	LR: 0.020000
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Training Epoch: 25 [14080/47500]	Loss: 0.3773	LR: 0.020000
Training Epoch: 25 [14336/47500]	Loss: 0.4411	LR: 0.020000
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Training Epoch: 25 [14848/47500]	Loss: 0.4421	LR: 0.020000
Training Epoch: 25 [15104/47500]	Loss: 0.3556	LR: 0.020000
Training Epoch: 25 [15360/47500]	Loss: 0.4324	LR: 0.020000
Training Epoch: 25 [15616/47500]	Loss: 0.3857	LR: 0.020000
Training Epoch: 25 [15872/47500]	Loss: 0.3333	LR: 0.020000
Training Epoch: 25 [16128/47500]	Loss: 0.4691	LR: 0.020000
Training Epoch: 25 [16384/47500]	Loss: 0.3684	LR: 0.020000
Training Epoch: 25 [16640/47500]	Loss: 0.3192	LR: 0.020000
Training Epoch: 25 [16896/47500]	Loss: 0.4386	LR: 0.020000
Training Epoch: 25 [17152/47500]	Loss: 0.4557	LR: 0.020000
Training Epoch: 25 [17408/47500]	Loss: 0.2953	LR: 0.020000
Training Epoch: 25 [17664/47500]	Loss: 0.4403	LR: 0.020000
Training Epoch: 25 [17920/47500]	Loss: 0.3668	LR: 0.020000
Training Epoch: 25 [18176/47500]	Loss: 0.3298	LR: 0.020000
Training Epoch: 25 [18432/47500]	Loss: 0.3634	LR: 0.020000
Training Epoch: 25 [18688/47500]	Loss: 0.3723	LR: 0.020000
Training Epoch: 25 [18944/47500]	Loss: 0.4356	LR: 0.020000
Training Epoch: 25 [19200/47500]	Loss: 0.2971	LR: 0.020000
Training Epoch: 25 [19456/47500]	Loss: 0.3597	LR: 0.020000
Training Epoch: 25 [19712/47500]	Loss: 0.2367	LR: 0.020000
Training Epoch: 25 [19968/47500]	Loss: 0.3528	LR: 0.020000
Training Epoch: 25 [20224/47500]	Loss: 0.5060	LR: 0.020000
Training Epoch: 25 [20480/47500]	Loss: 0.4051	LR: 0.020000
Training Epoch: 25 [20736/47500]	Loss: 0.4007	LR: 0.020000
Training Epoch: 25 [20992/47500]	Loss: 0.3742	LR: 0.020000
Training Epoch: 25 [21248/47500]	Loss: 0.3499	LR: 0.020000
Training Epoch: 25 [21504/47500]	Loss: 0.3195	LR: 0.020000
Training Epoch: 25 [21760/47500]	Loss: 0.2561	LR: 0.020000
Training Epoch: 25 [22016/47500]	Loss: 0.4191	LR: 0.020000
Training Epoch: 25 [22272/47500]	Loss: 0.3570	LR: 0.020000
Training Epoch: 25 [22528/47500]	Loss: 0.3316	LR: 0.020000
Training Epoch: 25 [22784/47500]	Loss: 0.3472	LR: 0.020000
Training Epoch: 25 [23040/47500]	Loss: 0.3585	LR: 0.020000
Training Epoch: 25 [23296/47500]	Loss: 0.3960	LR: 0.020000
Training Epoch: 25 [23552/47500]	Loss: 0.4248	LR: 0.020000
Training Epoch: 25 [23808/47500]	Loss: 0.3449	LR: 0.020000
Training Epoch: 25 [24064/47500]	Loss: 0.4294	LR: 0.020000
Training Epoch: 25 [24320/47500]	Loss: 0.3092	LR: 0.020000
Training Epoch: 25 [24576/47500]	Loss: 0.3916	LR: 0.020000
Training Epoch: 25 [24832/47500]	Loss: 0.3865	LR: 0.020000
Training Epoch: 25 [25088/47500]	Loss: 0.4146	LR: 0.020000
Training Epoch: 25 [25344/47500]	Loss: 0.4326	LR: 0.020000
Training Epoch: 25 [25600/47500]	Loss: 0.4279	LR: 0.020000
Training Epoch: 25 [25856/47500]	Loss: 0.4027	LR: 0.020000
Training Epoch: 25 [26112/47500]	Loss: 0.4107	LR: 0.020000
Training Epoch: 25 [26368/47500]	Loss: 0.3778	LR: 0.020000
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Training Epoch: 25 [27392/47500]	Loss: 0.4196	LR: 0.020000
Training Epoch: 25 [27648/47500]	Loss: 0.4129	LR: 0.020000
Training Epoch: 25 [27904/47500]	Loss: 0.4079	LR: 0.020000
Training Epoch: 25 [28160/47500]	Loss: 0.4321	LR: 0.020000
Training Epoch: 25 [28416/47500]	Loss: 0.3025	LR: 0.020000
Training Epoch: 25 [28672/47500]	Loss: 0.4011	LR: 0.020000
Training Epoch: 25 [28928/47500]	Loss: 0.2982	LR: 0.020000
Training Epoch: 25 [29184/47500]	Loss: 0.3978	LR: 0.020000
Training Epoch: 25 [29440/47500]	Loss: 0.4821	LR: 0.020000
Training Epoch: 25 [29696/47500]	Loss: 0.3918	LR: 0.020000
Training Epoch: 25 [29952/47500]	Loss: 0.4844	LR: 0.020000
Training Epoch: 25 [30208/47500]	Loss: 0.4293	LR: 0.020000
Training Epoch: 25 [30464/47500]	Loss: 0.3946	LR: 0.020000
Training Epoch: 25 [30720/47500]	Loss: 0.3930	LR: 0.020000
Training Epoch: 25 [30976/47500]	Loss: 0.3751	LR: 0.020000
Training Epoch: 25 [31232/47500]	Loss: 0.4099	LR: 0.020000
Training Epoch: 25 [31488/47500]	Loss: 0.4569	LR: 0.020000
Training Epoch: 25 [31744/47500]	Loss: 0.3881	LR: 0.020000
Training Epoch: 25 [32000/47500]	Loss: 0.4018	LR: 0.020000
Training Epoch: 25 [32256/47500]	Loss: 0.5317	LR: 0.020000
Training Epoch: 25 [32512/47500]	Loss: 0.3812	LR: 0.020000
Training Epoch: 25 [32768/47500]	Loss: 0.3703	LR: 0.020000
Training Epoch: 25 [33024/47500]	Loss: 0.4338	LR: 0.020000
Training Epoch: 25 [33280/47500]	Loss: 0.3769	LR: 0.020000
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Training Epoch: 25 [34816/47500]	Loss: 0.4084	LR: 0.020000
Training Epoch: 25 [35072/47500]	Loss: 0.2755	LR: 0.020000
Training Epoch: 25 [35328/47500]	Loss: 0.4250	LR: 0.020000
Training Epoch: 25 [35584/47500]	Loss: 0.4625	LR: 0.020000
Training Epoch: 25 [35840/47500]	Loss: 0.5008	LR: 0.020000
Training Epoch: 25 [36096/47500]	Loss: 0.3892	LR: 0.020000
Training Epoch: 25 [36352/47500]	Loss: 0.4056	LR: 0.020000
Training Epoch: 25 [36608/47500]	Loss: 0.3902	LR: 0.020000
Training Epoch: 25 [36864/47500]	Loss: 0.4673	LR: 0.020000
Training Epoch: 25 [37120/47500]	Loss: 0.4369	LR: 0.020000
Training Epoch: 25 [37376/47500]	Loss: 0.4565	LR: 0.020000
Training Epoch: 25 [37632/47500]	Loss: 0.3746	LR: 0.020000
Training Epoch: 25 [37888/47500]	Loss: 0.4044	LR: 0.020000
Training Epoch: 25 [38144/47500]	Loss: 0.4222	LR: 0.020000
Training Epoch: 25 [38400/47500]	Loss: 0.4736	LR: 0.020000
Training Epoch: 25 [38656/47500]	Loss: 0.3899	LR: 0.020000
Training Epoch: 25 [38912/47500]	Loss: 0.4235	LR: 0.020000
Training Epoch: 25 [39168/47500]	Loss: 0.5485	LR: 0.020000
Training Epoch: 25 [39424/47500]	Loss: 0.3643	LR: 0.020000
Training Epoch: 25 [39680/47500]	Loss: 0.3969	LR: 0.020000
Training Epoch: 25 [39936/47500]	Loss: 0.3950	LR: 0.020000
Training Epoch: 25 [40192/47500]	Loss: 0.4472	LR: 0.020000
Training Epoch: 25 [40448/47500]	Loss: 0.3936	LR: 0.020000
Training Epoch: 25 [40704/47500]	Loss: 0.3381	LR: 0.020000
Training Epoch: 25 [40960/47500]	Loss: 0.4319	LR: 0.020000
Training Epoch: 25 [41216/47500]	Loss: 0.4155	LR: 0.020000
Training Epoch: 25 [41472/47500]	Loss: 0.4562	LR: 0.020000
Training Epoch: 25 [41728/47500]	Loss: 0.4515	LR: 0.020000
Training Epoch: 25 [41984/47500]	Loss: 0.3222	LR: 0.020000
Training Epoch: 25 [42240/47500]	Loss: 0.3476	LR: 0.020000
Training Epoch: 25 [42496/47500]	Loss: 0.3483	LR: 0.020000
Training Epoch: 25 [42752/47500]	Loss: 0.3738	LR: 0.020000
Training Epoch: 25 [43008/47500]	Loss: 0.3313	LR: 0.020000
Training Epoch: 25 [43264/47500]	Loss: 0.4168	LR: 0.020000
Training Epoch: 25 [43520/47500]	Loss: 0.4570	LR: 0.020000
Training Epoch: 25 [43776/47500]	Loss: 0.4723	LR: 0.020000
Training Epoch: 25 [44032/47500]	Loss: 0.2864	LR: 0.020000
Training Epoch: 25 [44288/47500]	Loss: 0.4139	LR: 0.020000
Training Epoch: 25 [44544/47500]	Loss: 0.4338	LR: 0.020000
Training Epoch: 25 [44800/47500]	Loss: 0.4392	LR: 0.020000
Training Epoch: 25 [45056/47500]	Loss: 0.4511	LR: 0.020000
Training Epoch: 25 [45312/47500]	Loss: 0.3650	LR: 0.020000
Training Epoch: 25 [45568/47500]	Loss: 0.5142	LR: 0.020000
Training Epoch: 25 [45824/47500]	Loss: 0.4408	LR: 0.020000
Training Epoch: 25 [46080/47500]	Loss: 0.3320	LR: 0.020000
Training Epoch: 25 [46336/47500]	Loss: 0.4213	LR: 0.020000
Training Epoch: 25 [46592/47500]	Loss: 0.3169	LR: 0.020000
Training Epoch: 25 [46848/47500]	Loss: 0.3936	LR: 0.020000
Training Epoch: 25 [47104/47500]	Loss: 0.4041	LR: 0.020000
Training Epoch: 25 [47360/47500]	Loss: 0.4582	LR: 0.020000
Training Epoch: 25 [47500/47500]	Loss: 0.4232	LR: 0.020000
Epoch 25 - Average Train Loss: 0.3872, Train Accuracy: 0.8720
Epoch 25 training time consumed: 28.28s
Evaluating Network.....
Test set: Epoch: 25, Average loss: 0.0031, Accuracy: 0.7680, Time consumed:0.87s
Training Epoch: 26 [256/47500]	Loss: 0.3847	LR: 0.020000
Training Epoch: 26 [512/47500]	Loss: 0.4587	LR: 0.020000
Training Epoch: 26 [768/47500]	Loss: 0.4321	LR: 0.020000
Training Epoch: 26 [1024/47500]	Loss: 0.3946	LR: 0.020000
Training Epoch: 26 [1280/47500]	Loss: 0.3317	LR: 0.020000
Training Epoch: 26 [1536/47500]	Loss: 0.3955	LR: 0.020000
Training Epoch: 26 [1792/47500]	Loss: 0.3563	LR: 0.020000
Training Epoch: 26 [2048/47500]	Loss: 0.5084	LR: 0.020000
Training Epoch: 26 [2304/47500]	Loss: 0.3982	LR: 0.020000
Training Epoch: 26 [2560/47500]	Loss: 0.3462	LR: 0.020000
Training Epoch: 26 [2816/47500]	Loss: 0.3520	LR: 0.020000
Training Epoch: 26 [3072/47500]	Loss: 0.3874	LR: 0.020000
Training Epoch: 26 [3328/47500]	Loss: 0.3482	LR: 0.020000
Training Epoch: 26 [3584/47500]	Loss: 0.3655	LR: 0.020000
Training Epoch: 26 [3840/47500]	Loss: 0.3690	LR: 0.020000
Training Epoch: 26 [4096/47500]	Loss: 0.3883	LR: 0.020000
Training Epoch: 26 [4352/47500]	Loss: 0.3950	LR: 0.020000
Training Epoch: 26 [4608/47500]	Loss: 0.4117	LR: 0.020000
Training Epoch: 26 [4864/47500]	Loss: 0.3492	LR: 0.020000
Training Epoch: 26 [5120/47500]	Loss: 0.3259	LR: 0.020000
Training Epoch: 26 [5376/47500]	Loss: 0.3225	LR: 0.020000
Training Epoch: 26 [5632/47500]	Loss: 0.2712	LR: 0.020000
Training Epoch: 26 [5888/47500]	Loss: 0.3588	LR: 0.020000
Training Epoch: 26 [6144/47500]	Loss: 0.4136	LR: 0.020000
Training Epoch: 26 [6400/47500]	Loss: 0.2614	LR: 0.020000
Training Epoch: 26 [6656/47500]	Loss: 0.3325	LR: 0.020000
Training Epoch: 26 [6912/47500]	Loss: 0.2836	LR: 0.020000
Training Epoch: 26 [7168/47500]	Loss: 0.3691	LR: 0.020000
Training Epoch: 26 [7424/47500]	Loss: 0.4002	LR: 0.020000
Training Epoch: 26 [7680/47500]	Loss: 0.3276	LR: 0.020000
Training Epoch: 26 [7936/47500]	Loss: 0.3063	LR: 0.020000
Training Epoch: 26 [8192/47500]	Loss: 0.2620	LR: 0.020000
Training Epoch: 26 [8448/47500]	Loss: 0.2898	LR: 0.020000
Training Epoch: 26 [8704/47500]	Loss: 0.3248	LR: 0.020000
Training Epoch: 26 [8960/47500]	Loss: 0.3201	LR: 0.020000
Training Epoch: 26 [9216/47500]	Loss: 0.3835	LR: 0.020000
Training Epoch: 26 [9472/47500]	Loss: 0.2807	LR: 0.020000
Training Epoch: 26 [9728/47500]	Loss: 0.3357	LR: 0.020000
Training Epoch: 26 [9984/47500]	Loss: 0.3014	LR: 0.020000
Training Epoch: 26 [10240/47500]	Loss: 0.3956	LR: 0.020000
Training Epoch: 26 [10496/47500]	Loss: 0.3910	LR: 0.020000
Training Epoch: 26 [10752/47500]	Loss: 0.3650	LR: 0.020000
Training Epoch: 26 [11008/47500]	Loss: 0.3134	LR: 0.020000
Training Epoch: 26 [11264/47500]	Loss: 0.3523	LR: 0.020000
Training Epoch: 26 [11520/47500]	Loss: 0.2602	LR: 0.020000
Training Epoch: 26 [11776/47500]	Loss: 0.3611	LR: 0.020000
Training Epoch: 26 [12032/47500]	Loss: 0.3464	LR: 0.020000
Training Epoch: 26 [12288/47500]	Loss: 0.3266	LR: 0.020000
Training Epoch: 26 [12544/47500]	Loss: 0.4542	LR: 0.020000
Training Epoch: 26 [12800/47500]	Loss: 0.3086	LR: 0.020000
Training Epoch: 26 [13056/47500]	Loss: 0.4031	LR: 0.020000
Training Epoch: 26 [13312/47500]	Loss: 0.3674	LR: 0.020000
Training Epoch: 26 [13568/47500]	Loss: 0.3277	LR: 0.020000
Training Epoch: 26 [13824/47500]	Loss: 0.3819	LR: 0.020000
Training Epoch: 26 [14080/47500]	Loss: 0.3260	LR: 0.020000
Training Epoch: 26 [14336/47500]	Loss: 0.3820	LR: 0.020000
Training Epoch: 26 [14592/47500]	Loss: 0.4236	LR: 0.020000
Training Epoch: 26 [14848/47500]	Loss: 0.4794	LR: 0.020000
Training Epoch: 26 [15104/47500]	Loss: 0.2997	LR: 0.020000
Training Epoch: 26 [15360/47500]	Loss: 0.3558	LR: 0.020000
Training Epoch: 26 [15616/47500]	Loss: 0.3997	LR: 0.020000
Training Epoch: 26 [15872/47500]	Loss: 0.3647	LR: 0.020000
Training Epoch: 26 [16128/47500]	Loss: 0.2920	LR: 0.020000
Training Epoch: 26 [16384/47500]	Loss: 0.2993	LR: 0.020000
Training Epoch: 26 [16640/47500]	Loss: 0.2811	LR: 0.020000
Training Epoch: 26 [16896/47500]	Loss: 0.3372	LR: 0.020000
Training Epoch: 26 [17152/47500]	Loss: 0.4173	LR: 0.020000
Training Epoch: 26 [17408/47500]	Loss: 0.3824	LR: 0.020000
Training Epoch: 26 [17664/47500]	Loss: 0.3267	LR: 0.020000
Training Epoch: 26 [17920/47500]	Loss: 0.3540	LR: 0.020000
Training Epoch: 26 [18176/47500]	Loss: 0.3573	LR: 0.020000
Training Epoch: 26 [18432/47500]	Loss: 0.3094	LR: 0.020000
Training Epoch: 26 [18688/47500]	Loss: 0.3702	LR: 0.020000
Training Epoch: 26 [18944/47500]	Loss: 0.3600	LR: 0.020000
Training Epoch: 26 [19200/47500]	Loss: 0.4571	LR: 0.020000
Training Epoch: 26 [19456/47500]	Loss: 0.3752	LR: 0.020000
Training Epoch: 26 [19712/47500]	Loss: 0.4027	LR: 0.020000
Training Epoch: 26 [19968/47500]	Loss: 0.4200	LR: 0.020000
Training Epoch: 26 [20224/47500]	Loss: 0.3506	LR: 0.020000
Training Epoch: 26 [20480/47500]	Loss: 0.3662	LR: 0.020000
Training Epoch: 26 [20736/47500]	Loss: 0.2990	LR: 0.020000
Training Epoch: 26 [20992/47500]	Loss: 0.3565	LR: 0.020000
Training Epoch: 26 [21248/47500]	Loss: 0.3814	LR: 0.020000
Training Epoch: 26 [21504/47500]	Loss: 0.3490	LR: 0.020000
Training Epoch: 26 [21760/47500]	Loss: 0.3594	LR: 0.020000
Training Epoch: 26 [22016/47500]	Loss: 0.3094	LR: 0.020000
Training Epoch: 26 [22272/47500]	Loss: 0.3124	LR: 0.020000
Training Epoch: 26 [22528/47500]	Loss: 0.3773	LR: 0.020000
Training Epoch: 26 [22784/47500]	Loss: 0.3629	LR: 0.020000
Training Epoch: 26 [23040/47500]	Loss: 0.3446	LR: 0.020000
Training Epoch: 26 [23296/47500]	Loss: 0.4049	LR: 0.020000
Training Epoch: 26 [23552/47500]	Loss: 0.3876	LR: 0.020000
Training Epoch: 26 [23808/47500]	Loss: 0.3146	LR: 0.020000
Training Epoch: 26 [24064/47500]	Loss: 0.3707	LR: 0.020000
Training Epoch: 26 [24320/47500]	Loss: 0.3614	LR: 0.020000
Training Epoch: 26 [24576/47500]	Loss: 0.5686	LR: 0.020000
Training Epoch: 26 [24832/47500]	Loss: 0.2550	LR: 0.020000
Training Epoch: 26 [25088/47500]	Loss: 0.3541	LR: 0.020000
Training Epoch: 26 [25344/47500]	Loss: 0.3362	LR: 0.020000
Training Epoch: 26 [25600/47500]	Loss: 0.3906	LR: 0.020000
Training Epoch: 26 [25856/47500]	Loss: 0.3162	LR: 0.020000
Training Epoch: 26 [26112/47500]	Loss: 0.4260	LR: 0.020000
Training Epoch: 26 [26368/47500]	Loss: 0.4493	LR: 0.020000
Training Epoch: 26 [26624/47500]	Loss: 0.3104	LR: 0.020000
Training Epoch: 26 [26880/47500]	Loss: 0.3766	LR: 0.020000
Training Epoch: 26 [27136/47500]	Loss: 0.3531	LR: 0.020000
Training Epoch: 26 [27392/47500]	Loss: 0.3898	LR: 0.020000
Training Epoch: 26 [27648/47500]	Loss: 0.3126	LR: 0.020000
Training Epoch: 26 [27904/47500]	Loss: 0.4209	LR: 0.020000
Training Epoch: 26 [28160/47500]	Loss: 0.3615	LR: 0.020000
Training Epoch: 26 [28416/47500]	Loss: 0.3933	LR: 0.020000
Training Epoch: 26 [28672/47500]	Loss: 0.4471	LR: 0.020000
Training Epoch: 26 [28928/47500]	Loss: 0.3868	LR: 0.020000
Training Epoch: 26 [29184/47500]	Loss: 0.3893	LR: 0.020000
Training Epoch: 26 [29440/47500]	Loss: 0.3474	LR: 0.020000
Training Epoch: 26 [29696/47500]	Loss: 0.3888	LR: 0.020000
Training Epoch: 26 [29952/47500]	Loss: 0.4769	LR: 0.020000
Training Epoch: 26 [30208/47500]	Loss: 0.4001	LR: 0.020000
Training Epoch: 26 [30464/47500]	Loss: 0.4224	LR: 0.020000
Training Epoch: 26 [30720/47500]	Loss: 0.3812	LR: 0.020000
Training Epoch: 26 [30976/47500]	Loss: 0.4011	LR: 0.020000
Training Epoch: 26 [31232/47500]	Loss: 0.3302	LR: 0.020000
Training Epoch: 26 [31488/47500]	Loss: 0.4062	LR: 0.020000
Training Epoch: 26 [31744/47500]	Loss: 0.4269	LR: 0.020000
Training Epoch: 26 [32000/47500]	Loss: 0.3885	LR: 0.020000
Training Epoch: 26 [32256/47500]	Loss: 0.4768	LR: 0.020000
Training Epoch: 26 [32512/47500]	Loss: 0.3945	LR: 0.020000
Training Epoch: 26 [32768/47500]	Loss: 0.5172	LR: 0.020000
Training Epoch: 26 [33024/47500]	Loss: 0.4109	LR: 0.020000
Training Epoch: 26 [33280/47500]	Loss: 0.3547	LR: 0.020000
Training Epoch: 26 [33536/47500]	Loss: 0.3815	LR: 0.020000
Training Epoch: 26 [33792/47500]	Loss: 0.4977	LR: 0.020000
Training Epoch: 26 [34048/47500]	Loss: 0.4108	LR: 0.020000
Training Epoch: 26 [34304/47500]	Loss: 0.4293	LR: 0.020000
Training Epoch: 26 [34560/47500]	Loss: 0.4010	LR: 0.020000
Training Epoch: 26 [34816/47500]	Loss: 0.3562	LR: 0.020000
Training Epoch: 26 [35072/47500]	Loss: 0.3069	LR: 0.020000
Training Epoch: 26 [35328/47500]	Loss: 0.4094	LR: 0.020000
Training Epoch: 26 [35584/47500]	Loss: 0.3245	LR: 0.020000
Training Epoch: 26 [35840/47500]	Loss: 0.3468	LR: 0.020000
Training Epoch: 26 [36096/47500]	Loss: 0.3685	LR: 0.020000
Training Epoch: 26 [36352/47500]	Loss: 0.4506	LR: 0.020000
Training Epoch: 26 [36608/47500]	Loss: 0.3853	LR: 0.020000
Training Epoch: 26 [36864/47500]	Loss: 0.3904	LR: 0.020000
Training Epoch: 26 [37120/47500]	Loss: 0.4278	LR: 0.020000
Training Epoch: 26 [37376/47500]	Loss: 0.3383	LR: 0.020000
Training Epoch: 26 [37632/47500]	Loss: 0.3592	LR: 0.020000
Training Epoch: 26 [37888/47500]	Loss: 0.3955	LR: 0.020000
Training Epoch: 26 [38144/47500]	Loss: 0.4840	LR: 0.020000
Training Epoch: 26 [38400/47500]	Loss: 0.3037	LR: 0.020000
Training Epoch: 26 [38656/47500]	Loss: 0.3178	LR: 0.020000
Training Epoch: 26 [38912/47500]	Loss: 0.3712	LR: 0.020000
Training Epoch: 26 [39168/47500]	Loss: 0.4451	LR: 0.020000
Training Epoch: 26 [39424/47500]	Loss: 0.3476	LR: 0.020000
Training Epoch: 26 [39680/47500]	Loss: 0.4637	LR: 0.020000
Training Epoch: 26 [39936/47500]	Loss: 0.4065	LR: 0.020000
Training Epoch: 26 [40192/47500]	Loss: 0.3667	LR: 0.020000
Training Epoch: 26 [40448/47500]	Loss: 0.3065	LR: 0.020000
Training Epoch: 26 [40704/47500]	Loss: 0.3279	LR: 0.020000
Training Epoch: 26 [40960/47500]	Loss: 0.3767	LR: 0.020000
Training Epoch: 26 [41216/47500]	Loss: 0.3477	LR: 0.020000
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Training Epoch: 26 [41728/47500]	Loss: 0.3484	LR: 0.020000
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Training Epoch: 26 [42496/47500]	Loss: 0.3227	LR: 0.020000
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Training Epoch: 26 [44800/47500]	Loss: 0.4360	LR: 0.020000
Training Epoch: 26 [45056/47500]	Loss: 0.4430	LR: 0.020000
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Training Epoch: 26 [46592/47500]	Loss: 0.3544	LR: 0.020000
Training Epoch: 26 [46848/47500]	Loss: 0.3606	LR: 0.020000
Training Epoch: 26 [47104/47500]	Loss: 0.4205	LR: 0.020000
Training Epoch: 26 [47360/47500]	Loss: 0.3806	LR: 0.020000
Training Epoch: 26 [47500/47500]	Loss: 0.3438	LR: 0.020000
Epoch 26 - Average Train Loss: 0.3725, Train Accuracy: 0.8741
Epoch 26 training time consumed: 28.42s
Evaluating Network.....
Test set: Epoch: 26, Average loss: 0.0032, Accuracy: 0.7612, Time consumed:0.96s
Training Epoch: 27 [256/47500]	Loss: 0.2575	LR: 0.020000
Training Epoch: 27 [512/47500]	Loss: 0.3161	LR: 0.020000
Training Epoch: 27 [768/47500]	Loss: 0.3459	LR: 0.020000
Training Epoch: 27 [1024/47500]	Loss: 0.2751	LR: 0.020000
Training Epoch: 27 [1280/47500]	Loss: 0.3438	LR: 0.020000
Training Epoch: 27 [1536/47500]	Loss: 0.2426	LR: 0.020000
Training Epoch: 27 [1792/47500]	Loss: 0.3966	LR: 0.020000
Training Epoch: 27 [2048/47500]	Loss: 0.3123	LR: 0.020000
Training Epoch: 27 [2304/47500]	Loss: 0.3758	LR: 0.020000
Training Epoch: 27 [2560/47500]	Loss: 0.3261	LR: 0.020000
Training Epoch: 27 [2816/47500]	Loss: 0.3477	LR: 0.020000
Training Epoch: 27 [3072/47500]	Loss: 0.3818	LR: 0.020000
Training Epoch: 27 [3328/47500]	Loss: 0.3897	LR: 0.020000
Training Epoch: 27 [3584/47500]	Loss: 0.4316	LR: 0.020000
Training Epoch: 27 [3840/47500]	Loss: 0.2867	LR: 0.020000
Training Epoch: 27 [4096/47500]	Loss: 0.3558	LR: 0.020000
Training Epoch: 27 [4352/47500]	Loss: 0.3249	LR: 0.020000
Training Epoch: 27 [4608/47500]	Loss: 0.3619	LR: 0.020000
Training Epoch: 27 [4864/47500]	Loss: 0.3908	LR: 0.020000
Training Epoch: 27 [5120/47500]	Loss: 0.4229	LR: 0.020000
Training Epoch: 27 [5376/47500]	Loss: 0.3315	LR: 0.020000
Training Epoch: 27 [5632/47500]	Loss: 0.2775	LR: 0.020000
Training Epoch: 27 [5888/47500]	Loss: 0.3076	LR: 0.020000
Training Epoch: 27 [6144/47500]	Loss: 0.3427	LR: 0.020000
Training Epoch: 27 [6400/47500]	Loss: 0.4708	LR: 0.020000
Training Epoch: 27 [6656/47500]	Loss: 0.3442	LR: 0.020000
Training Epoch: 27 [6912/47500]	Loss: 0.4185	LR: 0.020000
Training Epoch: 27 [7168/47500]	Loss: 0.3858	LR: 0.020000
Training Epoch: 27 [7424/47500]	Loss: 0.3564	LR: 0.020000
Training Epoch: 27 [7680/47500]	Loss: 0.3042	LR: 0.020000
Training Epoch: 27 [7936/47500]	Loss: 0.3142	LR: 0.020000
Training Epoch: 27 [8192/47500]	Loss: 0.3123	LR: 0.020000
Training Epoch: 27 [8448/47500]	Loss: 0.3143	LR: 0.020000
Training Epoch: 27 [8704/47500]	Loss: 0.4204	LR: 0.020000
Training Epoch: 27 [8960/47500]	Loss: 0.3123	LR: 0.020000
Training Epoch: 27 [9216/47500]	Loss: 0.3533	LR: 0.020000
Training Epoch: 27 [9472/47500]	Loss: 0.3817	LR: 0.020000
Training Epoch: 27 [9728/47500]	Loss: 0.3881	LR: 0.020000
Training Epoch: 27 [9984/47500]	Loss: 0.3431	LR: 0.020000
Training Epoch: 27 [10240/47500]	Loss: 0.2991	LR: 0.020000
Training Epoch: 27 [10496/47500]	Loss: 0.3379	LR: 0.020000
Training Epoch: 27 [10752/47500]	Loss: 0.4399	LR: 0.020000
Training Epoch: 27 [11008/47500]	Loss: 0.2532	LR: 0.020000
Training Epoch: 27 [11264/47500]	Loss: 0.3688	LR: 0.020000
Training Epoch: 27 [11520/47500]	Loss: 0.3812	LR: 0.020000
Training Epoch: 27 [11776/47500]	Loss: 0.2867	LR: 0.020000
Training Epoch: 27 [12032/47500]	Loss: 0.3390	LR: 0.020000
Training Epoch: 27 [12288/47500]	Loss: 0.4046	LR: 0.020000
Training Epoch: 27 [12544/47500]	Loss: 0.3971	LR: 0.020000
Training Epoch: 27 [12800/47500]	Loss: 0.4452	LR: 0.020000
Training Epoch: 27 [13056/47500]	Loss: 0.2708	LR: 0.020000
Training Epoch: 27 [13312/47500]	Loss: 0.2968	LR: 0.020000
Training Epoch: 27 [13568/47500]	Loss: 0.3194	LR: 0.020000
Training Epoch: 27 [13824/47500]	Loss: 0.4008	LR: 0.020000
Training Epoch: 27 [14080/47500]	Loss: 0.3243	LR: 0.020000
Training Epoch: 27 [14336/47500]	Loss: 0.3360	LR: 0.020000
Training Epoch: 27 [14592/47500]	Loss: 0.5221	LR: 0.020000
Training Epoch: 27 [14848/47500]	Loss: 0.3530	LR: 0.020000
Training Epoch: 27 [15104/47500]	Loss: 0.2859	LR: 0.020000
Training Epoch: 27 [15360/47500]	Loss: 0.3566	LR: 0.020000
Training Epoch: 27 [15616/47500]	Loss: 0.4372	LR: 0.020000
Training Epoch: 27 [15872/47500]	Loss: 0.4061	LR: 0.020000
Training Epoch: 27 [16128/47500]	Loss: 0.3741	LR: 0.020000
Training Epoch: 27 [16384/47500]	Loss: 0.3494	LR: 0.020000
Training Epoch: 27 [16640/47500]	Loss: 0.3953	LR: 0.020000
Training Epoch: 27 [16896/47500]	Loss: 0.3343	LR: 0.020000
Training Epoch: 27 [17152/47500]	Loss: 0.3561	LR: 0.020000
Training Epoch: 27 [17408/47500]	Loss: 0.3352	LR: 0.020000
Training Epoch: 27 [17664/47500]	Loss: 0.2775	LR: 0.020000
Training Epoch: 27 [17920/47500]	Loss: 0.2985	LR: 0.020000
Training Epoch: 27 [18176/47500]	Loss: 0.2993	LR: 0.020000
Training Epoch: 27 [18432/47500]	Loss: 0.3744	LR: 0.020000
Training Epoch: 27 [18688/47500]	Loss: 0.3574	LR: 0.020000
Training Epoch: 27 [18944/47500]	Loss: 0.4464	LR: 0.020000
Training Epoch: 27 [19200/47500]	Loss: 0.3341	LR: 0.020000
Training Epoch: 27 [19456/47500]	Loss: 0.3745	LR: 0.020000
Training Epoch: 27 [19712/47500]	Loss: 0.3247	LR: 0.020000
Training Epoch: 27 [19968/47500]	Loss: 0.3020	LR: 0.020000
Training Epoch: 27 [20224/47500]	Loss: 0.3756	LR: 0.020000
Training Epoch: 27 [20480/47500]	Loss: 0.3023	LR: 0.020000
Training Epoch: 27 [20736/47500]	Loss: 0.3379	LR: 0.020000
Training Epoch: 27 [20992/47500]	Loss: 0.3760	LR: 0.020000
Training Epoch: 27 [21248/47500]	Loss: 0.3146	LR: 0.020000
Training Epoch: 27 [21504/47500]	Loss: 0.3821	LR: 0.020000
Training Epoch: 27 [21760/47500]	Loss: 0.3175	LR: 0.020000
Training Epoch: 27 [22016/47500]	Loss: 0.4140	LR: 0.020000
Training Epoch: 27 [22272/47500]	Loss: 0.3532	LR: 0.020000
Training Epoch: 27 [22528/47500]	Loss: 0.3124	LR: 0.020000
Training Epoch: 27 [22784/47500]	Loss: 0.4349	LR: 0.020000
Training Epoch: 27 [23040/47500]	Loss: 0.3066	LR: 0.020000
Training Epoch: 27 [23296/47500]	Loss: 0.3786	LR: 0.020000
Training Epoch: 27 [23552/47500]	Loss: 0.3857	LR: 0.020000
Training Epoch: 27 [23808/47500]	Loss: 0.3447	LR: 0.020000
Training Epoch: 27 [24064/47500]	Loss: 0.3233	LR: 0.020000
Training Epoch: 27 [24320/47500]	Loss: 0.3842	LR: 0.020000
Training Epoch: 27 [24576/47500]	Loss: 0.3864	LR: 0.020000
Training Epoch: 27 [24832/47500]	Loss: 0.3103	LR: 0.020000
Training Epoch: 27 [25088/47500]	Loss: 0.4083	LR: 0.020000
Training Epoch: 27 [25344/47500]	Loss: 0.3160	LR: 0.020000
Training Epoch: 27 [25600/47500]	Loss: 0.2584	LR: 0.020000
Training Epoch: 27 [25856/47500]	Loss: 0.3176	LR: 0.020000
Training Epoch: 27 [26112/47500]	Loss: 0.3260	LR: 0.020000
Training Epoch: 27 [26368/47500]	Loss: 0.3416	LR: 0.020000
Training Epoch: 27 [26624/47500]	Loss: 0.3762	LR: 0.020000
Training Epoch: 27 [26880/47500]	Loss: 0.3107	LR: 0.020000
Training Epoch: 27 [27136/47500]	Loss: 0.3587	LR: 0.020000
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Training Epoch: 27 [27648/47500]	Loss: 0.4085	LR: 0.020000
Training Epoch: 27 [27904/47500]	Loss: 0.4058	LR: 0.020000
Training Epoch: 27 [28160/47500]	Loss: 0.3184	LR: 0.020000
Training Epoch: 27 [28416/47500]	Loss: 0.3339	LR: 0.020000
Training Epoch: 27 [28672/47500]	Loss: 0.3857	LR: 0.020000
Training Epoch: 27 [28928/47500]	Loss: 0.3243	LR: 0.020000
Training Epoch: 27 [29184/47500]	Loss: 0.3932	LR: 0.020000
Training Epoch: 27 [29440/47500]	Loss: 0.3878	LR: 0.020000
Training Epoch: 27 [29696/47500]	Loss: 0.4530	LR: 0.020000
Training Epoch: 27 [29952/47500]	Loss: 0.3820	LR: 0.020000
Training Epoch: 27 [30208/47500]	Loss: 0.3216	LR: 0.020000
Training Epoch: 27 [30464/47500]	Loss: 0.4469	LR: 0.020000
Training Epoch: 27 [30720/47500]	Loss: 0.2722	LR: 0.020000
Training Epoch: 27 [30976/47500]	Loss: 0.3985	LR: 0.020000
Training Epoch: 27 [31232/47500]	Loss: 0.3424	LR: 0.020000
Training Epoch: 27 [31488/47500]	Loss: 0.3522	LR: 0.020000
Training Epoch: 27 [31744/47500]	Loss: 0.4234	LR: 0.020000
Training Epoch: 27 [32000/47500]	Loss: 0.3933	LR: 0.020000
Training Epoch: 27 [32256/47500]	Loss: 0.3751	LR: 0.020000
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Training Epoch: 27 [33024/47500]	Loss: 0.4507	LR: 0.020000
Training Epoch: 27 [33280/47500]	Loss: 0.2884	LR: 0.020000
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Training Epoch: 27 [34816/47500]	Loss: 0.3220	LR: 0.020000
Training Epoch: 27 [35072/47500]	Loss: 0.4376	LR: 0.020000
Training Epoch: 27 [35328/47500]	Loss: 0.3811	LR: 0.020000
Training Epoch: 27 [35584/47500]	Loss: 0.3918	LR: 0.020000
Training Epoch: 27 [35840/47500]	Loss: 0.4297	LR: 0.020000
Training Epoch: 27 [36096/47500]	Loss: 0.4519	LR: 0.020000
Training Epoch: 27 [36352/47500]	Loss: 0.4393	LR: 0.020000
Training Epoch: 27 [36608/47500]	Loss: 0.4159	LR: 0.020000
Training Epoch: 27 [36864/47500]	Loss: 0.4197	LR: 0.020000
Training Epoch: 27 [37120/47500]	Loss: 0.4430	LR: 0.020000
Training Epoch: 27 [37376/47500]	Loss: 0.4207	LR: 0.020000
Training Epoch: 27 [37632/47500]	Loss: 0.3910	LR: 0.020000
Training Epoch: 27 [37888/47500]	Loss: 0.3012	LR: 0.020000
Training Epoch: 27 [38144/47500]	Loss: 0.3890	LR: 0.020000
Training Epoch: 27 [38400/47500]	Loss: 0.3756	LR: 0.020000
Training Epoch: 27 [38656/47500]	Loss: 0.3358	LR: 0.020000
Training Epoch: 27 [38912/47500]	Loss: 0.3493	LR: 0.020000
Training Epoch: 27 [39168/47500]	Loss: 0.4479	LR: 0.020000
Training Epoch: 27 [39424/47500]	Loss: 0.3971	LR: 0.020000
Training Epoch: 27 [39680/47500]	Loss: 0.4048	LR: 0.020000
Training Epoch: 27 [39936/47500]	Loss: 0.3680	LR: 0.020000
Training Epoch: 27 [40192/47500]	Loss: 0.3268	LR: 0.020000
Training Epoch: 27 [40448/47500]	Loss: 0.3158	LR: 0.020000
Training Epoch: 27 [40704/47500]	Loss: 0.4104	LR: 0.020000
Training Epoch: 27 [40960/47500]	Loss: 0.3423	LR: 0.020000
Training Epoch: 27 [41216/47500]	Loss: 0.3617	LR: 0.020000
Training Epoch: 27 [41472/47500]	Loss: 0.4434	LR: 0.020000
Training Epoch: 27 [41728/47500]	Loss: 0.3858	LR: 0.020000
Training Epoch: 27 [41984/47500]	Loss: 0.3828	LR: 0.020000
Training Epoch: 27 [42240/47500]	Loss: 0.3196	LR: 0.020000
Training Epoch: 27 [42496/47500]	Loss: 0.3372	LR: 0.020000
Training Epoch: 27 [42752/47500]	Loss: 0.4040	LR: 0.020000
Training Epoch: 27 [43008/47500]	Loss: 0.3878	LR: 0.020000
Training Epoch: 27 [43264/47500]	Loss: 0.3711	LR: 0.020000
Training Epoch: 27 [43520/47500]	Loss: 0.3210	LR: 0.020000
Training Epoch: 27 [43776/47500]	Loss: 0.3994	LR: 0.020000
Training Epoch: 27 [44032/47500]	Loss: 0.3986	LR: 0.020000
Training Epoch: 27 [44288/47500]	Loss: 0.4012	LR: 0.020000
Training Epoch: 27 [44544/47500]	Loss: 0.4317	LR: 0.020000
Training Epoch: 27 [44800/47500]	Loss: 0.3916	LR: 0.020000
Training Epoch: 27 [45056/47500]	Loss: 0.3064	LR: 0.020000
Training Epoch: 27 [45312/47500]	Loss: 0.4915	LR: 0.020000
Training Epoch: 27 [45568/47500]	Loss: 0.3607	LR: 0.020000
Training Epoch: 27 [45824/47500]	Loss: 0.3884	LR: 0.020000
Training Epoch: 27 [46080/47500]	Loss: 0.3202	LR: 0.020000
Training Epoch: 27 [46336/47500]	Loss: 0.3675	LR: 0.020000
Training Epoch: 27 [46592/47500]	Loss: 0.3932	LR: 0.020000
Training Epoch: 27 [46848/47500]	Loss: 0.3389	LR: 0.020000
Training Epoch: 27 [47104/47500]	Loss: 0.4304	LR: 0.020000
Training Epoch: 27 [47360/47500]	Loss: 0.4143	LR: 0.020000
Training Epoch: 27 [47500/47500]	Loss: 0.3398	LR: 0.020000
Epoch 27 - Average Train Loss: 0.3645, Train Accuracy: 0.8775
Epoch 27 training time consumed: 28.32s
Evaluating Network.....
Test set: Epoch: 27, Average loss: 0.0032, Accuracy: 0.7733, Time consumed:0.91s
Training Epoch: 28 [256/47500]	Loss: 0.3046	LR: 0.020000
Training Epoch: 28 [512/47500]	Loss: 0.3460	LR: 0.020000
Training Epoch: 28 [768/47500]	Loss: 0.2783	LR: 0.020000
Training Epoch: 28 [1024/47500]	Loss: 0.2232	LR: 0.020000
Training Epoch: 28 [1280/47500]	Loss: 0.2898	LR: 0.020000
Training Epoch: 28 [1536/47500]	Loss: 0.3865	LR: 0.020000
Training Epoch: 28 [1792/47500]	Loss: 0.3439	LR: 0.020000
Training Epoch: 28 [2048/47500]	Loss: 0.3453	LR: 0.020000
Training Epoch: 28 [2304/47500]	Loss: 0.2572	LR: 0.020000
Training Epoch: 28 [2560/47500]	Loss: 0.2926	LR: 0.020000
Training Epoch: 28 [2816/47500]	Loss: 0.3283	LR: 0.020000
Training Epoch: 28 [3072/47500]	Loss: 0.3198	LR: 0.020000
Training Epoch: 28 [3328/47500]	Loss: 0.3120	LR: 0.020000
Training Epoch: 28 [3584/47500]	Loss: 0.2901	LR: 0.020000
Training Epoch: 28 [3840/47500]	Loss: 0.1990	LR: 0.020000
Training Epoch: 28 [4096/47500]	Loss: 0.2701	LR: 0.020000
Training Epoch: 28 [4352/47500]	Loss: 0.3238	LR: 0.020000
Training Epoch: 28 [4608/47500]	Loss: 0.3222	LR: 0.020000
Training Epoch: 28 [4864/47500]	Loss: 0.4040	LR: 0.020000
Training Epoch: 28 [5120/47500]	Loss: 0.3215	LR: 0.020000
Training Epoch: 28 [5376/47500]	Loss: 0.2884	LR: 0.020000
Training Epoch: 28 [5632/47500]	Loss: 0.3851	LR: 0.020000
Training Epoch: 28 [5888/47500]	Loss: 0.2722	LR: 0.020000
Training Epoch: 28 [6144/47500]	Loss: 0.2759	LR: 0.020000
Training Epoch: 28 [6400/47500]	Loss: 0.3149	LR: 0.020000
Training Epoch: 28 [6656/47500]	Loss: 0.3276	LR: 0.020000
Training Epoch: 28 [6912/47500]	Loss: 0.3444	LR: 0.020000
Training Epoch: 28 [7168/47500]	Loss: 0.3097	LR: 0.020000
Training Epoch: 28 [7424/47500]	Loss: 0.2989	LR: 0.020000
Training Epoch: 28 [7680/47500]	Loss: 0.2957	LR: 0.020000
Training Epoch: 28 [7936/47500]	Loss: 0.3283	LR: 0.020000
Training Epoch: 28 [8192/47500]	Loss: 0.3636	LR: 0.020000
Training Epoch: 28 [8448/47500]	Loss: 0.2931	LR: 0.020000
Training Epoch: 28 [8704/47500]	Loss: 0.3301	LR: 0.020000
Training Epoch: 28 [8960/47500]	Loss: 0.4169	LR: 0.020000
Training Epoch: 28 [9216/47500]	Loss: 0.2363	LR: 0.020000
Training Epoch: 28 [9472/47500]	Loss: 0.2995	LR: 0.020000
Training Epoch: 28 [9728/47500]	Loss: 0.3041	LR: 0.020000
Training Epoch: 28 [9984/47500]	Loss: 0.2831	LR: 0.020000
Training Epoch: 28 [10240/47500]	Loss: 0.2778	LR: 0.020000
Training Epoch: 28 [10496/47500]	Loss: 0.3175	LR: 0.020000
Training Epoch: 28 [10752/47500]	Loss: 0.3486	LR: 0.020000
Training Epoch: 28 [11008/47500]	Loss: 0.2687	LR: 0.020000
Training Epoch: 28 [11264/47500]	Loss: 0.3409	LR: 0.020000
Training Epoch: 28 [11520/47500]	Loss: 0.3216	LR: 0.020000
Training Epoch: 28 [11776/47500]	Loss: 0.3448	LR: 0.020000
Training Epoch: 28 [12032/47500]	Loss: 0.2614	LR: 0.020000
Training Epoch: 28 [12288/47500]	Loss: 0.3226	LR: 0.020000
Training Epoch: 28 [12544/47500]	Loss: 0.3375	LR: 0.020000
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Training Epoch: 28 [13056/47500]	Loss: 0.2969	LR: 0.020000
Training Epoch: 28 [13312/47500]	Loss: 0.3420	LR: 0.020000
Training Epoch: 28 [13568/47500]	Loss: 0.3536	LR: 0.020000
Training Epoch: 28 [13824/47500]	Loss: 0.3477	LR: 0.020000
Training Epoch: 28 [14080/47500]	Loss: 0.3463	LR: 0.020000
Training Epoch: 28 [14336/47500]	Loss: 0.3071	LR: 0.020000
Training Epoch: 28 [14592/47500]	Loss: 0.3829	LR: 0.020000
Training Epoch: 28 [14848/47500]	Loss: 0.3444	LR: 0.020000
Training Epoch: 28 [15104/47500]	Loss: 0.3430	LR: 0.020000
Training Epoch: 28 [15360/47500]	Loss: 0.2696	LR: 0.020000
Training Epoch: 28 [15616/47500]	Loss: 0.3046	LR: 0.020000
Training Epoch: 28 [15872/47500]	Loss: 0.3481	LR: 0.020000
Training Epoch: 28 [16128/47500]	Loss: 0.4346	LR: 0.020000
Training Epoch: 28 [16384/47500]	Loss: 0.3234	LR: 0.020000
Training Epoch: 28 [16640/47500]	Loss: 0.3380	LR: 0.020000
Training Epoch: 28 [16896/47500]	Loss: 0.3629	LR: 0.020000
Training Epoch: 28 [17152/47500]	Loss: 0.3249	LR: 0.020000
Training Epoch: 28 [17408/47500]	Loss: 0.3241	LR: 0.020000
Training Epoch: 28 [17664/47500]	Loss: 0.3958	LR: 0.020000
Training Epoch: 28 [17920/47500]	Loss: 0.3218	LR: 0.020000
Training Epoch: 28 [18176/47500]	Loss: 0.4691	LR: 0.020000
Training Epoch: 28 [18432/47500]	Loss: 0.3051	LR: 0.020000
Training Epoch: 28 [18688/47500]	Loss: 0.3574	LR: 0.020000
Training Epoch: 28 [18944/47500]	Loss: 0.3149	LR: 0.020000
Training Epoch: 28 [19200/47500]	Loss: 0.3665	LR: 0.020000
Training Epoch: 28 [19456/47500]	Loss: 0.4417	LR: 0.020000
Training Epoch: 28 [19712/47500]	Loss: 0.2541	LR: 0.020000
Training Epoch: 28 [19968/47500]	Loss: 0.4447	LR: 0.020000
Training Epoch: 28 [20224/47500]	Loss: 0.3866	LR: 0.020000
Training Epoch: 28 [20480/47500]	Loss: 0.3058	LR: 0.020000
Training Epoch: 28 [20736/47500]	Loss: 0.3304	LR: 0.020000
Training Epoch: 28 [20992/47500]	Loss: 0.3143	LR: 0.020000
Training Epoch: 28 [21248/47500]	Loss: 0.3543	LR: 0.020000
Training Epoch: 28 [21504/47500]	Loss: 0.3847	LR: 0.020000
Training Epoch: 28 [21760/47500]	Loss: 0.3690	LR: 0.020000
Training Epoch: 28 [22016/47500]	Loss: 0.3580	LR: 0.020000
Training Epoch: 28 [22272/47500]	Loss: 0.3188	LR: 0.020000
Training Epoch: 28 [22528/47500]	Loss: 0.4046	LR: 0.020000
Training Epoch: 28 [22784/47500]	Loss: 0.4081	LR: 0.020000
Training Epoch: 28 [23040/47500]	Loss: 0.3691	LR: 0.020000
Training Epoch: 28 [23296/47500]	Loss: 0.2820	LR: 0.020000
Training Epoch: 28 [23552/47500]	Loss: 0.3980	LR: 0.020000
Training Epoch: 28 [23808/47500]	Loss: 0.3514	LR: 0.020000
Training Epoch: 28 [24064/47500]	Loss: 0.3666	LR: 0.020000
Training Epoch: 28 [24320/47500]	Loss: 0.4315	LR: 0.020000
Training Epoch: 28 [24576/47500]	Loss: 0.2778	LR: 0.020000
Training Epoch: 28 [24832/47500]	Loss: 0.4322	LR: 0.020000
Training Epoch: 28 [25088/47500]	Loss: 0.3186	LR: 0.020000
Training Epoch: 28 [25344/47500]	Loss: 0.2597	LR: 0.020000
Training Epoch: 28 [25600/47500]	Loss: 0.3193	LR: 0.020000
Training Epoch: 28 [25856/47500]	Loss: 0.4153	LR: 0.020000
Training Epoch: 28 [26112/47500]	Loss: 0.3313	LR: 0.020000
Training Epoch: 28 [26368/47500]	Loss: 0.2399	LR: 0.020000
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Training Epoch: 28 [27392/47500]	Loss: 0.3549	LR: 0.020000
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Training Epoch: 28 [27904/47500]	Loss: 0.3153	LR: 0.020000
Training Epoch: 28 [28160/47500]	Loss: 0.3545	LR: 0.020000
Training Epoch: 28 [28416/47500]	Loss: 0.3607	LR: 0.020000
Training Epoch: 28 [28672/47500]	Loss: 0.3826	LR: 0.020000
Training Epoch: 28 [28928/47500]	Loss: 0.3489	LR: 0.020000
Training Epoch: 28 [29184/47500]	Loss: 0.3697	LR: 0.020000
Training Epoch: 28 [29440/47500]	Loss: 0.3486	LR: 0.020000
Training Epoch: 28 [29696/47500]	Loss: 0.3582	LR: 0.020000
Training Epoch: 28 [29952/47500]	Loss: 0.3501	LR: 0.020000
Training Epoch: 28 [30208/47500]	Loss: 0.4058	LR: 0.020000
Training Epoch: 28 [30464/47500]	Loss: 0.3191	LR: 0.020000
Training Epoch: 28 [30720/47500]	Loss: 0.4118	LR: 0.020000
Training Epoch: 28 [30976/47500]	Loss: 0.4757	LR: 0.020000
Training Epoch: 28 [31232/47500]	Loss: 0.3912	LR: 0.020000
Training Epoch: 28 [31488/47500]	Loss: 0.3796	LR: 0.020000
Training Epoch: 28 [31744/47500]	Loss: 0.4126	LR: 0.020000
Training Epoch: 28 [32000/47500]	Loss: 0.2811	LR: 0.020000
Training Epoch: 28 [32256/47500]	Loss: 0.4230	LR: 0.020000
Training Epoch: 28 [32512/47500]	Loss: 0.3550	LR: 0.020000
Training Epoch: 28 [32768/47500]	Loss: 0.3542	LR: 0.020000
Training Epoch: 28 [33024/47500]	Loss: 0.3563	LR: 0.020000
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Training Epoch: 28 [35072/47500]	Loss: 0.3840	LR: 0.020000
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Training Epoch: 28 [35584/47500]	Loss: 0.3765	LR: 0.020000
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Training Epoch: 28 [36352/47500]	Loss: 0.4963	LR: 0.020000
Training Epoch: 28 [36608/47500]	Loss: 0.5043	LR: 0.020000
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Training Epoch: 28 [37120/47500]	Loss: 0.3385	LR: 0.020000
Training Epoch: 28 [37376/47500]	Loss: 0.4134	LR: 0.020000
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Training Epoch: 28 [37888/47500]	Loss: 0.3327	LR: 0.020000
Training Epoch: 28 [38144/47500]	Loss: 0.3339	LR: 0.020000
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Training Epoch: 28 [38656/47500]	Loss: 0.4121	LR: 0.020000
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Training Epoch: 28 [39168/47500]	Loss: 0.2570	LR: 0.020000
Training Epoch: 28 [39424/47500]	Loss: 0.3403	LR: 0.020000
Training Epoch: 28 [39680/47500]	Loss: 0.4106	LR: 0.020000
Training Epoch: 28 [39936/47500]	Loss: 0.3435	LR: 0.020000
Training Epoch: 28 [40192/47500]	Loss: 0.3950	LR: 0.020000
Training Epoch: 28 [40448/47500]	Loss: 0.4482	LR: 0.020000
Training Epoch: 28 [40704/47500]	Loss: 0.4198	LR: 0.020000
Training Epoch: 28 [40960/47500]	Loss: 0.2459	LR: 0.020000
Training Epoch: 28 [41216/47500]	Loss: 0.4094	LR: 0.020000
Training Epoch: 28 [41472/47500]	Loss: 0.4060	LR: 0.020000
Training Epoch: 28 [41728/47500]	Loss: 0.3570	LR: 0.020000
Training Epoch: 28 [41984/47500]	Loss: 0.3890	LR: 0.020000
Training Epoch: 28 [42240/47500]	Loss: 0.3401	LR: 0.020000
Training Epoch: 28 [42496/47500]	Loss: 0.4582	LR: 0.020000
Training Epoch: 28 [42752/47500]	Loss: 0.3211	LR: 0.020000
Training Epoch: 28 [43008/47500]	Loss: 0.3828	LR: 0.020000
Training Epoch: 28 [43264/47500]	Loss: 0.3446	LR: 0.020000
Training Epoch: 28 [43520/47500]	Loss: 0.3485	LR: 0.020000
Training Epoch: 28 [43776/47500]	Loss: 0.4370	LR: 0.020000
Training Epoch: 28 [44032/47500]	Loss: 0.3952	LR: 0.020000
Training Epoch: 28 [44288/47500]	Loss: 0.3638	LR: 0.020000
Training Epoch: 28 [44544/47500]	Loss: 0.3898	LR: 0.020000
Training Epoch: 28 [44800/47500]	Loss: 0.4019	LR: 0.020000
Training Epoch: 28 [45056/47500]	Loss: 0.3703	LR: 0.020000
Training Epoch: 28 [45312/47500]	Loss: 0.4191	LR: 0.020000
Training Epoch: 28 [45568/47500]	Loss: 0.3341	LR: 0.020000
Training Epoch: 28 [45824/47500]	Loss: 0.3791	LR: 0.020000
Training Epoch: 28 [46080/47500]	Loss: 0.4811	LR: 0.020000
Training Epoch: 28 [46336/47500]	Loss: 0.3741	LR: 0.020000
Training Epoch: 28 [46592/47500]	Loss: 0.4182	LR: 0.020000
Training Epoch: 28 [46848/47500]	Loss: 0.4436	LR: 0.020000
Training Epoch: 28 [47104/47500]	Loss: 0.3251	LR: 0.020000
Training Epoch: 28 [47360/47500]	Loss: 0.4811	LR: 0.020000
Training Epoch: 28 [47500/47500]	Loss: 0.4007	LR: 0.020000
Epoch 28 - Average Train Loss: 0.3516, Train Accuracy: 0.8826
Epoch 28 training time consumed: 28.35s
Evaluating Network.....
Test set: Epoch: 28, Average loss: 0.0033, Accuracy: 0.7629, Time consumed:0.94s
Training Epoch: 29 [256/47500]	Loss: 0.2769	LR: 0.020000
Training Epoch: 29 [512/47500]	Loss: 0.2759	LR: 0.020000
Training Epoch: 29 [768/47500]	Loss: 0.2745	LR: 0.020000
Training Epoch: 29 [1024/47500]	Loss: 0.3110	LR: 0.020000
Training Epoch: 29 [1280/47500]	Loss: 0.3491	LR: 0.020000
Training Epoch: 29 [1536/47500]	Loss: 0.3333	LR: 0.020000
Training Epoch: 29 [1792/47500]	Loss: 0.3528	LR: 0.020000
Training Epoch: 29 [2048/47500]	Loss: 0.3829	LR: 0.020000
Training Epoch: 29 [2304/47500]	Loss: 0.3374	LR: 0.020000
Training Epoch: 29 [2560/47500]	Loss: 0.3171	LR: 0.020000
Training Epoch: 29 [2816/47500]	Loss: 0.3283	LR: 0.020000
Training Epoch: 29 [3072/47500]	Loss: 0.3480	LR: 0.020000
Training Epoch: 29 [3328/47500]	Loss: 0.3641	LR: 0.020000
Training Epoch: 29 [3584/47500]	Loss: 0.3241	LR: 0.020000
Training Epoch: 29 [3840/47500]	Loss: 0.2922	LR: 0.020000
Training Epoch: 29 [4096/47500]	Loss: 0.3610	LR: 0.020000
Training Epoch: 29 [4352/47500]	Loss: 0.3070	LR: 0.020000
Training Epoch: 29 [4608/47500]	Loss: 0.3314	LR: 0.020000
Training Epoch: 29 [4864/47500]	Loss: 0.4031	LR: 0.020000
Training Epoch: 29 [5120/47500]	Loss: 0.3204	LR: 0.020000
Training Epoch: 29 [5376/47500]	Loss: 0.3673	LR: 0.020000
Training Epoch: 29 [5632/47500]	Loss: 0.3049	LR: 0.020000
Training Epoch: 29 [5888/47500]	Loss: 0.3030	LR: 0.020000
Training Epoch: 29 [6144/47500]	Loss: 0.3030	LR: 0.020000
Training Epoch: 29 [6400/47500]	Loss: 0.3401	LR: 0.020000
Training Epoch: 29 [6656/47500]	Loss: 0.2931	LR: 0.020000
Training Epoch: 29 [6912/47500]	Loss: 0.2489	LR: 0.020000
Training Epoch: 29 [7168/47500]	Loss: 0.2702	LR: 0.020000
Training Epoch: 29 [7424/47500]	Loss: 0.3248	LR: 0.020000
Training Epoch: 29 [7680/47500]	Loss: 0.2678	LR: 0.020000
Training Epoch: 29 [7936/47500]	Loss: 0.2761	LR: 0.020000
Training Epoch: 29 [8192/47500]	Loss: 0.2866	LR: 0.020000
Training Epoch: 29 [8448/47500]	Loss: 0.3350	LR: 0.020000
Training Epoch: 29 [8704/47500]	Loss: 0.2707	LR: 0.020000
Training Epoch: 29 [8960/47500]	Loss: 0.2879	LR: 0.020000
Training Epoch: 29 [9216/47500]	Loss: 0.3161	LR: 0.020000
Training Epoch: 29 [9472/47500]	Loss: 0.3094	LR: 0.020000
Training Epoch: 29 [9728/47500]	Loss: 0.3570	LR: 0.020000
Training Epoch: 29 [9984/47500]	Loss: 0.3382	LR: 0.020000
Training Epoch: 29 [10240/47500]	Loss: 0.3946	LR: 0.020000
Training Epoch: 29 [10496/47500]	Loss: 0.3068	LR: 0.020000
Training Epoch: 29 [10752/47500]	Loss: 0.2851	LR: 0.020000
Training Epoch: 29 [11008/47500]	Loss: 0.3766	LR: 0.020000
Training Epoch: 29 [11264/47500]	Loss: 0.2914	LR: 0.020000
Training Epoch: 29 [11520/47500]	Loss: 0.3585	LR: 0.020000
Training Epoch: 29 [11776/47500]	Loss: 0.4061	LR: 0.020000
Training Epoch: 29 [12032/47500]	Loss: 0.2999	LR: 0.020000
Training Epoch: 29 [12288/47500]	Loss: 0.4438	LR: 0.020000
Training Epoch: 29 [12544/47500]	Loss: 0.3364	LR: 0.020000
Training Epoch: 29 [12800/47500]	Loss: 0.3328	LR: 0.020000
Training Epoch: 29 [13056/47500]	Loss: 0.3312	LR: 0.020000
Training Epoch: 29 [13312/47500]	Loss: 0.3120	LR: 0.020000
Training Epoch: 29 [13568/47500]	Loss: 0.2265	LR: 0.020000
Training Epoch: 29 [13824/47500]	Loss: 0.4466	LR: 0.020000
Training Epoch: 29 [14080/47500]	Loss: 0.3593	LR: 0.020000
Training Epoch: 29 [14336/47500]	Loss: 0.3702	LR: 0.020000
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Training Epoch: 29 [15104/47500]	Loss: 0.3081	LR: 0.020000
Training Epoch: 29 [15360/47500]	Loss: 0.3121	LR: 0.020000
Training Epoch: 29 [15616/47500]	Loss: 0.3058	LR: 0.020000
Training Epoch: 29 [15872/47500]	Loss: 0.3882	LR: 0.020000
Training Epoch: 29 [16128/47500]	Loss: 0.3638	LR: 0.020000
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Training Epoch: 29 [16640/47500]	Loss: 0.3634	LR: 0.020000
Training Epoch: 29 [16896/47500]	Loss: 0.2520	LR: 0.020000
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Training Epoch: 29 [17408/47500]	Loss: 0.3486	LR: 0.020000
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Training Epoch: 29 [18176/47500]	Loss: 0.2825	LR: 0.020000
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Training Epoch: 29 [18688/47500]	Loss: 0.3586	LR: 0.020000
Training Epoch: 29 [18944/47500]	Loss: 0.3215	LR: 0.020000
Training Epoch: 29 [19200/47500]	Loss: 0.3727	LR: 0.020000
Training Epoch: 29 [19456/47500]	Loss: 0.3618	LR: 0.020000
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Training Epoch: 29 [19968/47500]	Loss: 0.3611	LR: 0.020000
Training Epoch: 29 [20224/47500]	Loss: 0.3873	LR: 0.020000
Training Epoch: 29 [20480/47500]	Loss: 0.3522	LR: 0.020000
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Training Epoch: 29 [21760/47500]	Loss: 0.3259	LR: 0.020000
Training Epoch: 29 [22016/47500]	Loss: 0.3471	LR: 0.020000
Training Epoch: 29 [22272/47500]	Loss: 0.3131	LR: 0.020000
Training Epoch: 29 [22528/47500]	Loss: 0.4680	LR: 0.020000
Training Epoch: 29 [22784/47500]	Loss: 0.3093	LR: 0.020000
Training Epoch: 29 [23040/47500]	Loss: 0.2908	LR: 0.020000
Training Epoch: 29 [23296/47500]	Loss: 0.3269	LR: 0.020000
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Training Epoch: 29 [24576/47500]	Loss: 0.2858	LR: 0.020000
Training Epoch: 29 [24832/47500]	Loss: 0.3002	LR: 0.020000
Training Epoch: 29 [25088/47500]	Loss: 0.3833	LR: 0.020000
Training Epoch: 29 [25344/47500]	Loss: 0.2363	LR: 0.020000
Training Epoch: 29 [25600/47500]	Loss: 0.2739	LR: 0.020000
Training Epoch: 29 [25856/47500]	Loss: 0.3698	LR: 0.020000
Training Epoch: 29 [26112/47500]	Loss: 0.2837	LR: 0.020000
Training Epoch: 29 [26368/47500]	Loss: 0.4236	LR: 0.020000
Training Epoch: 29 [26624/47500]	Loss: 0.3940	LR: 0.020000
Training Epoch: 29 [26880/47500]	Loss: 0.3761	LR: 0.020000
Training Epoch: 29 [27136/47500]	Loss: 0.3429	LR: 0.020000
Training Epoch: 29 [27392/47500]	Loss: 0.3027	LR: 0.020000
Training Epoch: 29 [27648/47500]	Loss: 0.3506	LR: 0.020000
Training Epoch: 29 [27904/47500]	Loss: 0.3478	LR: 0.020000
Training Epoch: 29 [28160/47500]	Loss: 0.4020	LR: 0.020000
Training Epoch: 29 [28416/47500]	Loss: 0.3062	LR: 0.020000
Training Epoch: 29 [28672/47500]	Loss: 0.4194	LR: 0.020000
Training Epoch: 29 [28928/47500]	Loss: 0.3074	LR: 0.020000
Training Epoch: 29 [29184/47500]	Loss: 0.3435	LR: 0.020000
Training Epoch: 29 [29440/47500]	Loss: 0.3847	LR: 0.020000
Training Epoch: 29 [29696/47500]	Loss: 0.3930	LR: 0.020000
Training Epoch: 29 [29952/47500]	Loss: 0.3865	LR: 0.020000
Training Epoch: 29 [30208/47500]	Loss: 0.3354	LR: 0.020000
Training Epoch: 29 [30464/47500]	Loss: 0.3640	LR: 0.020000
Training Epoch: 29 [30720/47500]	Loss: 0.2631	LR: 0.020000
Training Epoch: 29 [30976/47500]	Loss: 0.3727	LR: 0.020000
Training Epoch: 29 [31232/47500]	Loss: 0.2629	LR: 0.020000
Training Epoch: 29 [31488/47500]	Loss: 0.2912	LR: 0.020000
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Training Epoch: 29 [32000/47500]	Loss: 0.3221	LR: 0.020000
Training Epoch: 29 [32256/47500]	Loss: 0.3785	LR: 0.020000
Training Epoch: 29 [32512/47500]	Loss: 0.3915	LR: 0.020000
Training Epoch: 29 [32768/47500]	Loss: 0.3925	LR: 0.020000
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Training Epoch: 29 [35072/47500]	Loss: 0.3365	LR: 0.020000
Training Epoch: 29 [35328/47500]	Loss: 0.3591	LR: 0.020000
Training Epoch: 29 [35584/47500]	Loss: 0.3020	LR: 0.020000
Training Epoch: 29 [35840/47500]	Loss: 0.3842	LR: 0.020000
Training Epoch: 29 [36096/47500]	Loss: 0.4177	LR: 0.020000
Training Epoch: 29 [36352/47500]	Loss: 0.4047	LR: 0.020000
Training Epoch: 29 [36608/47500]	Loss: 0.3939	LR: 0.020000
Training Epoch: 29 [36864/47500]	Loss: 0.4024	LR: 0.020000
Training Epoch: 29 [37120/47500]	Loss: 0.2770	LR: 0.020000
Training Epoch: 29 [37376/47500]	Loss: 0.2487	LR: 0.020000
Training Epoch: 29 [37632/47500]	Loss: 0.3224	LR: 0.020000
Training Epoch: 29 [37888/47500]	Loss: 0.3907	LR: 0.020000
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Training Epoch: 29 [38400/47500]	Loss: 0.3480	LR: 0.020000
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Training Epoch: 29 [39424/47500]	Loss: 0.4061	LR: 0.020000
Training Epoch: 29 [39680/47500]	Loss: 0.3848	LR: 0.020000
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Training Epoch: 29 [40192/47500]	Loss: 0.2864	LR: 0.020000
Training Epoch: 29 [40448/47500]	Loss: 0.3627	LR: 0.020000
Training Epoch: 29 [40704/47500]	Loss: 0.3855	LR: 0.020000
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Training Epoch: 29 [41216/47500]	Loss: 0.3009	LR: 0.020000
Training Epoch: 29 [41472/47500]	Loss: 0.3171	LR: 0.020000
Training Epoch: 29 [41728/47500]	Loss: 0.4260	LR: 0.020000
Training Epoch: 29 [41984/47500]	Loss: 0.4023	LR: 0.020000
Training Epoch: 29 [42240/47500]	Loss: 0.4299	LR: 0.020000
Training Epoch: 29 [42496/47500]	Loss: 0.3557	LR: 0.020000
Training Epoch: 29 [42752/47500]	Loss: 0.4242	LR: 0.020000
Training Epoch: 29 [43008/47500]	Loss: 0.4394	LR: 0.020000
Training Epoch: 29 [43264/47500]	Loss: 0.3561	LR: 0.020000
Training Epoch: 29 [43520/47500]	Loss: 0.3490	LR: 0.020000
Training Epoch: 29 [43776/47500]	Loss: 0.3435	LR: 0.020000
Training Epoch: 29 [44032/47500]	Loss: 0.3633	LR: 0.020000
Training Epoch: 29 [44288/47500]	Loss: 0.2863	LR: 0.020000
Training Epoch: 29 [44544/47500]	Loss: 0.4672	LR: 0.020000
Training Epoch: 29 [44800/47500]	Loss: 0.3446	LR: 0.020000
Training Epoch: 29 [45056/47500]	Loss: 0.3295	LR: 0.020000
Training Epoch: 29 [45312/47500]	Loss: 0.3244	LR: 0.020000
Training Epoch: 29 [45568/47500]	Loss: 0.2631	LR: 0.020000
Training Epoch: 29 [45824/47500]	Loss: 0.3578	LR: 0.020000
Training Epoch: 29 [46080/47500]	Loss: 0.4731	LR: 0.020000
Training Epoch: 29 [46336/47500]	Loss: 0.4601	LR: 0.020000
Training Epoch: 29 [46592/47500]	Loss: 0.4879	LR: 0.020000
Training Epoch: 29 [46848/47500]	Loss: 0.3486	LR: 0.020000
Training Epoch: 29 [47104/47500]	Loss: 0.4185	LR: 0.020000
Training Epoch: 29 [47360/47500]	Loss: 0.3917	LR: 0.020000
Training Epoch: 29 [47500/47500]	Loss: 0.3355	LR: 0.020000
Epoch 29 - Average Train Loss: 0.3431, Train Accuracy: 0.8848
Epoch 29 training time consumed: 28.35s
Evaluating Network.....
Test set: Epoch: 29, Average loss: 0.0033, Accuracy: 0.7683, Time consumed:0.89s
Training Epoch: 30 [256/47500]	Loss: 0.4004	LR: 0.004000
Training Epoch: 30 [512/47500]	Loss: 0.2902	LR: 0.004000
Training Epoch: 30 [768/47500]	Loss: 0.3546	LR: 0.004000
Training Epoch: 30 [1024/47500]	Loss: 0.3141	LR: 0.004000
Training Epoch: 30 [1280/47500]	Loss: 0.3446	LR: 0.004000
Training Epoch: 30 [1536/47500]	Loss: 0.3148	LR: 0.004000
Training Epoch: 30 [1792/47500]	Loss: 0.2616	LR: 0.004000
Training Epoch: 30 [2048/47500]	Loss: 0.3101	LR: 0.004000
Training Epoch: 30 [2304/47500]	Loss: 0.2385	LR: 0.004000
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Training Epoch: 30 [47500/47500]	Loss: 0.1808	LR: 0.004000
Epoch 30 - Average Train Loss: 0.2247, Train Accuracy: 0.9284
Epoch 30 training time consumed: 28.35s
Evaluating Network.....
Test set: Epoch: 30, Average loss: 0.0027, Accuracy: 0.8083, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_21h_46m_16s/ResNet18-Cifar20-seed8-ret50-30-best.pth
Training Epoch: 31 [256/47500]	Loss: 0.1595	LR: 0.004000
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Training Epoch: 31 [43776/47500]	Loss: 0.1819	LR: 0.004000
Training Epoch: 31 [44032/47500]	Loss: 0.1605	LR: 0.004000
Training Epoch: 31 [44288/47500]	Loss: 0.1516	LR: 0.004000
Training Epoch: 31 [44544/47500]	Loss: 0.2393	LR: 0.004000
Training Epoch: 31 [44800/47500]	Loss: 0.2131	LR: 0.004000
Training Epoch: 31 [45056/47500]	Loss: 0.1358	LR: 0.004000
Training Epoch: 31 [45312/47500]	Loss: 0.1774	LR: 0.004000
Training Epoch: 31 [45568/47500]	Loss: 0.1994	LR: 0.004000
Training Epoch: 31 [45824/47500]	Loss: 0.1300	LR: 0.004000
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Training Epoch: 31 [46336/47500]	Loss: 0.1652	LR: 0.004000
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Training Epoch: 31 [47360/47500]	Loss: 0.1612	LR: 0.004000
Training Epoch: 31 [47500/47500]	Loss: 0.1598	LR: 0.004000
Epoch 31 - Average Train Loss: 0.1770, Train Accuracy: 0.9459
Epoch 31 training time consumed: 28.26s
Evaluating Network.....
Test set: Epoch: 31, Average loss: 0.0027, Accuracy: 0.8066, Time consumed:0.90s
Training Epoch: 32 [256/47500]	Loss: 0.1278	LR: 0.004000
Training Epoch: 32 [512/47500]	Loss: 0.1804	LR: 0.004000
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Training Epoch: 32 [1280/47500]	Loss: 0.1854	LR: 0.004000
Training Epoch: 32 [1536/47500]	Loss: 0.1470	LR: 0.004000
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Training Epoch: 32 [45056/47500]	Loss: 0.1054	LR: 0.004000
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Training Epoch: 32 [46592/47500]	Loss: 0.1713	LR: 0.004000
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Training Epoch: 32 [47360/47500]	Loss: 0.1862	LR: 0.004000
Training Epoch: 32 [47500/47500]	Loss: 0.1706	LR: 0.004000
Epoch 32 - Average Train Loss: 0.1626, Train Accuracy: 0.9502
Epoch 32 training time consumed: 28.25s
Evaluating Network.....
Test set: Epoch: 32, Average loss: 0.0027, Accuracy: 0.8085, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_21h_46m_16s/ResNet18-Cifar20-seed8-ret50-32-best.pth
Training Epoch: 33 [256/47500]	Loss: 0.1024	LR: 0.004000
Training Epoch: 33 [512/47500]	Loss: 0.1801	LR: 0.004000
Training Epoch: 33 [768/47500]	Loss: 0.1335	LR: 0.004000
Training Epoch: 33 [1024/47500]	Loss: 0.1623	LR: 0.004000
Training Epoch: 33 [1280/47500]	Loss: 0.1415	LR: 0.004000
Training Epoch: 33 [1536/47500]	Loss: 0.1886	LR: 0.004000
Training Epoch: 33 [1792/47500]	Loss: 0.1435	LR: 0.004000
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Training Epoch: 33 [5376/47500]	Loss: 0.1559	LR: 0.004000
Training Epoch: 33 [5632/47500]	Loss: 0.1455	LR: 0.004000
Training Epoch: 33 [5888/47500]	Loss: 0.1378	LR: 0.004000
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Training Epoch: 33 [6400/47500]	Loss: 0.1728	LR: 0.004000
Training Epoch: 33 [6656/47500]	Loss: 0.1678	LR: 0.004000
Training Epoch: 33 [6912/47500]	Loss: 0.1461	LR: 0.004000
Training Epoch: 33 [7168/47500]	Loss: 0.1788	LR: 0.004000
Training Epoch: 33 [7424/47500]	Loss: 0.1810	LR: 0.004000
Training Epoch: 33 [7680/47500]	Loss: 0.1739	LR: 0.004000
Training Epoch: 33 [7936/47500]	Loss: 0.1180	LR: 0.004000
Training Epoch: 33 [8192/47500]	Loss: 0.1390	LR: 0.004000
Training Epoch: 33 [8448/47500]	Loss: 0.1457	LR: 0.004000
Training Epoch: 33 [8704/47500]	Loss: 0.1538	LR: 0.004000
Training Epoch: 33 [8960/47500]	Loss: 0.1686	LR: 0.004000
Training Epoch: 33 [9216/47500]	Loss: 0.1214	LR: 0.004000
Training Epoch: 33 [9472/47500]	Loss: 0.2440	LR: 0.004000
Training Epoch: 33 [9728/47500]	Loss: 0.1261	LR: 0.004000
Training Epoch: 33 [9984/47500]	Loss: 0.1470	LR: 0.004000
Training Epoch: 33 [10240/47500]	Loss: 0.1185	LR: 0.004000
Training Epoch: 33 [10496/47500]	Loss: 0.1328	LR: 0.004000
Training Epoch: 33 [10752/47500]	Loss: 0.0864	LR: 0.004000
Training Epoch: 33 [11008/47500]	Loss: 0.0897	LR: 0.004000
Training Epoch: 33 [11264/47500]	Loss: 0.1465	LR: 0.004000
Training Epoch: 33 [11520/47500]	Loss: 0.2359	LR: 0.004000
Training Epoch: 33 [11776/47500]	Loss: 0.1755	LR: 0.004000
Training Epoch: 33 [12032/47500]	Loss: 0.1726	LR: 0.004000
Training Epoch: 33 [12288/47500]	Loss: 0.1133	LR: 0.004000
Training Epoch: 33 [12544/47500]	Loss: 0.1405	LR: 0.004000
Training Epoch: 33 [12800/47500]	Loss: 0.1059	LR: 0.004000
Training Epoch: 33 [13056/47500]	Loss: 0.1301	LR: 0.004000
Training Epoch: 33 [13312/47500]	Loss: 0.1500	LR: 0.004000
Training Epoch: 33 [13568/47500]	Loss: 0.1616	LR: 0.004000
Training Epoch: 33 [13824/47500]	Loss: 0.1467	LR: 0.004000
Training Epoch: 33 [14080/47500]	Loss: 0.1576	LR: 0.004000
Training Epoch: 33 [14336/47500]	Loss: 0.1703	LR: 0.004000
Training Epoch: 33 [14592/47500]	Loss: 0.1345	LR: 0.004000
Training Epoch: 33 [14848/47500]	Loss: 0.1363	LR: 0.004000
Training Epoch: 33 [15104/47500]	Loss: 0.1170	LR: 0.004000
Training Epoch: 33 [15360/47500]	Loss: 0.1164	LR: 0.004000
Training Epoch: 33 [15616/47500]	Loss: 0.1696	LR: 0.004000
Training Epoch: 33 [15872/47500]	Loss: 0.1154	LR: 0.004000
Training Epoch: 33 [16128/47500]	Loss: 0.1200	LR: 0.004000
Training Epoch: 33 [16384/47500]	Loss: 0.1581	LR: 0.004000
Training Epoch: 33 [16640/47500]	Loss: 0.1254	LR: 0.004000
Training Epoch: 33 [16896/47500]	Loss: 0.1678	LR: 0.004000
Training Epoch: 33 [17152/47500]	Loss: 0.1896	LR: 0.004000
Training Epoch: 33 [17408/47500]	Loss: 0.1523	LR: 0.004000
Training Epoch: 33 [17664/47500]	Loss: 0.1730	LR: 0.004000
Training Epoch: 33 [17920/47500]	Loss: 0.1341	LR: 0.004000
Training Epoch: 33 [18176/47500]	Loss: 0.1226	LR: 0.004000
Training Epoch: 33 [18432/47500]	Loss: 0.1481	LR: 0.004000
Training Epoch: 33 [18688/47500]	Loss: 0.1618	LR: 0.004000
Training Epoch: 33 [18944/47500]	Loss: 0.1338	LR: 0.004000
Training Epoch: 33 [19200/47500]	Loss: 0.1207	LR: 0.004000
Training Epoch: 33 [19456/47500]	Loss: 0.1565	LR: 0.004000
Training Epoch: 33 [19712/47500]	Loss: 0.1425	LR: 0.004000
Training Epoch: 33 [19968/47500]	Loss: 0.1439	LR: 0.004000
Training Epoch: 33 [20224/47500]	Loss: 0.1099	LR: 0.004000
Training Epoch: 33 [20480/47500]	Loss: 0.1199	LR: 0.004000
Training Epoch: 33 [20736/47500]	Loss: 0.1622	LR: 0.004000
Training Epoch: 33 [20992/47500]	Loss: 0.1224	LR: 0.004000
Training Epoch: 33 [21248/47500]	Loss: 0.1281	LR: 0.004000
Training Epoch: 33 [21504/47500]	Loss: 0.1041	LR: 0.004000
Training Epoch: 33 [21760/47500]	Loss: 0.1513	LR: 0.004000
Training Epoch: 33 [22016/47500]	Loss: 0.1712	LR: 0.004000
Training Epoch: 33 [22272/47500]	Loss: 0.2336	LR: 0.004000
Training Epoch: 33 [22528/47500]	Loss: 0.1212	LR: 0.004000
Training Epoch: 33 [22784/47500]	Loss: 0.1153	LR: 0.004000
Training Epoch: 33 [23040/47500]	Loss: 0.1451	LR: 0.004000
Training Epoch: 33 [23296/47500]	Loss: 0.1423	LR: 0.004000
Training Epoch: 33 [23552/47500]	Loss: 0.1429	LR: 0.004000
Training Epoch: 33 [23808/47500]	Loss: 0.1783	LR: 0.004000
Training Epoch: 33 [24064/47500]	Loss: 0.1534	LR: 0.004000
Training Epoch: 33 [24320/47500]	Loss: 0.1156	LR: 0.004000
Training Epoch: 33 [24576/47500]	Loss: 0.1550	LR: 0.004000
Training Epoch: 33 [24832/47500]	Loss: 0.1362	LR: 0.004000
Training Epoch: 33 [25088/47500]	Loss: 0.2035	LR: 0.004000
Training Epoch: 33 [25344/47500]	Loss: 0.1667	LR: 0.004000
Training Epoch: 33 [25600/47500]	Loss: 0.1598	LR: 0.004000
Training Epoch: 33 [25856/47500]	Loss: 0.1491	LR: 0.004000
Training Epoch: 33 [26112/47500]	Loss: 0.1827	LR: 0.004000
Training Epoch: 33 [26368/47500]	Loss: 0.1258	LR: 0.004000
Training Epoch: 33 [26624/47500]	Loss: 0.1322	LR: 0.004000
Training Epoch: 33 [26880/47500]	Loss: 0.1345	LR: 0.004000
Training Epoch: 33 [27136/47500]	Loss: 0.1335	LR: 0.004000
Training Epoch: 33 [27392/47500]	Loss: 0.1406	LR: 0.004000
Training Epoch: 33 [27648/47500]	Loss: 0.1677	LR: 0.004000
Training Epoch: 33 [27904/47500]	Loss: 0.1629	LR: 0.004000
Training Epoch: 33 [28160/47500]	Loss: 0.1060	LR: 0.004000
Training Epoch: 33 [28416/47500]	Loss: 0.1194	LR: 0.004000
Training Epoch: 33 [28672/47500]	Loss: 0.1689	LR: 0.004000
Training Epoch: 33 [28928/47500]	Loss: 0.1955	LR: 0.004000
Training Epoch: 33 [29184/47500]	Loss: 0.1533	LR: 0.004000
Training Epoch: 33 [29440/47500]	Loss: 0.1534	LR: 0.004000
Training Epoch: 33 [29696/47500]	Loss: 0.1706	LR: 0.004000
Training Epoch: 33 [29952/47500]	Loss: 0.1447	LR: 0.004000
Training Epoch: 33 [30208/47500]	Loss: 0.1238	LR: 0.004000
Training Epoch: 33 [30464/47500]	Loss: 0.1927	LR: 0.004000
Training Epoch: 33 [30720/47500]	Loss: 0.1301	LR: 0.004000
Training Epoch: 33 [30976/47500]	Loss: 0.1633	LR: 0.004000
Training Epoch: 33 [31232/47500]	Loss: 0.2077	LR: 0.004000
Training Epoch: 33 [31488/47500]	Loss: 0.1555	LR: 0.004000
Training Epoch: 33 [31744/47500]	Loss: 0.1538	LR: 0.004000
Training Epoch: 33 [32000/47500]	Loss: 0.1403	LR: 0.004000
Training Epoch: 33 [32256/47500]	Loss: 0.1740	LR: 0.004000
Training Epoch: 33 [32512/47500]	Loss: 0.1312	LR: 0.004000
Training Epoch: 33 [32768/47500]	Loss: 0.1727	LR: 0.004000
Training Epoch: 33 [33024/47500]	Loss: 0.1595	LR: 0.004000
Training Epoch: 33 [33280/47500]	Loss: 0.1420	LR: 0.004000
Training Epoch: 33 [33536/47500]	Loss: 0.1090	LR: 0.004000
Training Epoch: 33 [33792/47500]	Loss: 0.1521	LR: 0.004000
Training Epoch: 33 [34048/47500]	Loss: 0.1510	LR: 0.004000
Training Epoch: 33 [34304/47500]	Loss: 0.1466	LR: 0.004000
Training Epoch: 33 [34560/47500]	Loss: 0.1626	LR: 0.004000
Training Epoch: 33 [34816/47500]	Loss: 0.1486	LR: 0.004000
Training Epoch: 33 [35072/47500]	Loss: 0.0722	LR: 0.004000
Training Epoch: 33 [35328/47500]	Loss: 0.1482	LR: 0.004000
Training Epoch: 33 [35584/47500]	Loss: 0.1327	LR: 0.004000
Training Epoch: 33 [35840/47500]	Loss: 0.1647	LR: 0.004000
Training Epoch: 33 [36096/47500]	Loss: 0.1116	LR: 0.004000
Training Epoch: 33 [36352/47500]	Loss: 0.0970	LR: 0.004000
Training Epoch: 33 [36608/47500]	Loss: 0.1469	LR: 0.004000
Training Epoch: 33 [36864/47500]	Loss: 0.1114	LR: 0.004000
Training Epoch: 33 [37120/47500]	Loss: 0.1924	LR: 0.004000
Training Epoch: 33 [37376/47500]	Loss: 0.1889	LR: 0.004000
Training Epoch: 33 [37632/47500]	Loss: 0.1370	LR: 0.004000
Training Epoch: 33 [37888/47500]	Loss: 0.1575	LR: 0.004000
Training Epoch: 33 [38144/47500]	Loss: 0.1318	LR: 0.004000
Training Epoch: 33 [38400/47500]	Loss: 0.1609	LR: 0.004000
Training Epoch: 33 [38656/47500]	Loss: 0.1691	LR: 0.004000
Training Epoch: 33 [38912/47500]	Loss: 0.1492	LR: 0.004000
Training Epoch: 33 [39168/47500]	Loss: 0.2026	LR: 0.004000
Training Epoch: 33 [39424/47500]	Loss: 0.1814	LR: 0.004000
Training Epoch: 33 [39680/47500]	Loss: 0.0862	LR: 0.004000
Training Epoch: 33 [39936/47500]	Loss: 0.1597	LR: 0.004000
Training Epoch: 33 [40192/47500]	Loss: 0.1774	LR: 0.004000
Training Epoch: 33 [40448/47500]	Loss: 0.1207	LR: 0.004000
Training Epoch: 33 [40704/47500]	Loss: 0.1455	LR: 0.004000
Training Epoch: 33 [40960/47500]	Loss: 0.1686	LR: 0.004000
Training Epoch: 33 [41216/47500]	Loss: 0.1708	LR: 0.004000
Training Epoch: 33 [41472/47500]	Loss: 0.1924	LR: 0.004000
Training Epoch: 33 [41728/47500]	Loss: 0.1500	LR: 0.004000
Training Epoch: 33 [41984/47500]	Loss: 0.0821	LR: 0.004000
Training Epoch: 33 [42240/47500]	Loss: 0.1434	LR: 0.004000
Training Epoch: 33 [42496/47500]	Loss: 0.1930	LR: 0.004000
Training Epoch: 33 [42752/47500]	Loss: 0.1482	LR: 0.004000
Training Epoch: 33 [43008/47500]	Loss: 0.1412	LR: 0.004000
Training Epoch: 33 [43264/47500]	Loss: 0.1353	LR: 0.004000
Training Epoch: 33 [43520/47500]	Loss: 0.1117	LR: 0.004000
Training Epoch: 33 [43776/47500]	Loss: 0.1354	LR: 0.004000
Training Epoch: 33 [44032/47500]	Loss: 0.2102	LR: 0.004000
Training Epoch: 33 [44288/47500]	Loss: 0.1338	LR: 0.004000
Training Epoch: 33 [44544/47500]	Loss: 0.1347	LR: 0.004000
Training Epoch: 33 [44800/47500]	Loss: 0.1360	LR: 0.004000
Training Epoch: 33 [45056/47500]	Loss: 0.1996	LR: 0.004000
Training Epoch: 33 [45312/47500]	Loss: 0.1143	LR: 0.004000
Training Epoch: 33 [45568/47500]	Loss: 0.1190	LR: 0.004000
Training Epoch: 33 [45824/47500]	Loss: 0.2154	LR: 0.004000
Training Epoch: 33 [46080/47500]	Loss: 0.1460	LR: 0.004000
Training Epoch: 33 [46336/47500]	Loss: 0.1290	LR: 0.004000
Training Epoch: 33 [46592/47500]	Loss: 0.1350	LR: 0.004000
Training Epoch: 33 [46848/47500]	Loss: 0.1590	LR: 0.004000
Training Epoch: 33 [47104/47500]	Loss: 0.1991	LR: 0.004000
Training Epoch: 33 [47360/47500]	Loss: 0.1591	LR: 0.004000
Training Epoch: 33 [47500/47500]	Loss: 0.1852	LR: 0.004000
Epoch 33 - Average Train Loss: 0.1481, Train Accuracy: 0.9556
Epoch 33 training time consumed: 28.26s
Evaluating Network.....
Test set: Epoch: 33, Average loss: 0.0028, Accuracy: 0.8084, Time consumed:0.91s
Training Epoch: 34 [256/47500]	Loss: 0.1204	LR: 0.004000
Training Epoch: 34 [512/47500]	Loss: 0.1989	LR: 0.004000
Training Epoch: 34 [768/47500]	Loss: 0.1199	LR: 0.004000
Training Epoch: 34 [1024/47500]	Loss: 0.1533	LR: 0.004000
Training Epoch: 34 [1280/47500]	Loss: 0.1850	LR: 0.004000
Training Epoch: 34 [1536/47500]	Loss: 0.1186	LR: 0.004000
Training Epoch: 34 [1792/47500]	Loss: 0.1287	LR: 0.004000
Training Epoch: 34 [2048/47500]	Loss: 0.1745	LR: 0.004000
Training Epoch: 34 [2304/47500]	Loss: 0.1181	LR: 0.004000
Training Epoch: 34 [2560/47500]	Loss: 0.1528	LR: 0.004000
Training Epoch: 34 [2816/47500]	Loss: 0.1479	LR: 0.004000
Training Epoch: 34 [3072/47500]	Loss: 0.1490	LR: 0.004000
Training Epoch: 34 [3328/47500]	Loss: 0.1422	LR: 0.004000
Training Epoch: 34 [3584/47500]	Loss: 0.1307	LR: 0.004000
Training Epoch: 34 [3840/47500]	Loss: 0.1625	LR: 0.004000
Training Epoch: 34 [4096/47500]	Loss: 0.1392	LR: 0.004000
Training Epoch: 34 [4352/47500]	Loss: 0.1293	LR: 0.004000
Training Epoch: 34 [4608/47500]	Loss: 0.0982	LR: 0.004000
Training Epoch: 34 [4864/47500]	Loss: 0.0991	LR: 0.004000
Training Epoch: 34 [5120/47500]	Loss: 0.1321	LR: 0.004000
Training Epoch: 34 [5376/47500]	Loss: 0.1543	LR: 0.004000
Training Epoch: 34 [5632/47500]	Loss: 0.1173	LR: 0.004000
Training Epoch: 34 [5888/47500]	Loss: 0.1714	LR: 0.004000
Training Epoch: 34 [6144/47500]	Loss: 0.1037	LR: 0.004000
Training Epoch: 34 [6400/47500]	Loss: 0.1512	LR: 0.004000
Training Epoch: 34 [6656/47500]	Loss: 0.1154	LR: 0.004000
Training Epoch: 34 [6912/47500]	Loss: 0.1414	LR: 0.004000
Training Epoch: 34 [7168/47500]	Loss: 0.1042	LR: 0.004000
Training Epoch: 34 [7424/47500]	Loss: 0.1147	LR: 0.004000
Training Epoch: 34 [7680/47500]	Loss: 0.1352	LR: 0.004000
Training Epoch: 34 [7936/47500]	Loss: 0.1793	LR: 0.004000
Training Epoch: 34 [8192/47500]	Loss: 0.1262	LR: 0.004000
Training Epoch: 34 [8448/47500]	Loss: 0.1216	LR: 0.004000
Training Epoch: 34 [8704/47500]	Loss: 0.1412	LR: 0.004000
Training Epoch: 34 [8960/47500]	Loss: 0.1397	LR: 0.004000
Training Epoch: 34 [9216/47500]	Loss: 0.1624	LR: 0.004000
Training Epoch: 34 [9472/47500]	Loss: 0.1063	LR: 0.004000
Training Epoch: 34 [9728/47500]	Loss: 0.1143	LR: 0.004000
Training Epoch: 34 [9984/47500]	Loss: 0.1563	LR: 0.004000
Training Epoch: 34 [10240/47500]	Loss: 0.1393	LR: 0.004000
Training Epoch: 34 [10496/47500]	Loss: 0.1441	LR: 0.004000
Training Epoch: 34 [10752/47500]	Loss: 0.2040	LR: 0.004000
Training Epoch: 34 [11008/47500]	Loss: 0.1339	LR: 0.004000
Training Epoch: 34 [11264/47500]	Loss: 0.0804	LR: 0.004000
Training Epoch: 34 [11520/47500]	Loss: 0.1292	LR: 0.004000
Training Epoch: 34 [11776/47500]	Loss: 0.1201	LR: 0.004000
Training Epoch: 34 [12032/47500]	Loss: 0.1435	LR: 0.004000
Training Epoch: 34 [12288/47500]	Loss: 0.1851	LR: 0.004000
Training Epoch: 34 [12544/47500]	Loss: 0.1537	LR: 0.004000
Training Epoch: 34 [12800/47500]	Loss: 0.1256	LR: 0.004000
Training Epoch: 34 [13056/47500]	Loss: 0.1660	LR: 0.004000
Training Epoch: 34 [13312/47500]	Loss: 0.1107	LR: 0.004000
Training Epoch: 34 [13568/47500]	Loss: 0.1387	LR: 0.004000
Training Epoch: 34 [13824/47500]	Loss: 0.1106	LR: 0.004000
Training Epoch: 34 [14080/47500]	Loss: 0.1597	LR: 0.004000
Training Epoch: 34 [14336/47500]	Loss: 0.0932	LR: 0.004000
Training Epoch: 34 [14592/47500]	Loss: 0.1595	LR: 0.004000
Training Epoch: 34 [14848/47500]	Loss: 0.1243	LR: 0.004000
Training Epoch: 34 [15104/47500]	Loss: 0.0989	LR: 0.004000
Training Epoch: 34 [15360/47500]	Loss: 0.1406	LR: 0.004000
Training Epoch: 34 [15616/47500]	Loss: 0.1267	LR: 0.004000
Training Epoch: 34 [15872/47500]	Loss: 0.1444	LR: 0.004000
Training Epoch: 34 [16128/47500]	Loss: 0.1213	LR: 0.004000
Training Epoch: 34 [16384/47500]	Loss: 0.1419	LR: 0.004000
Training Epoch: 34 [16640/47500]	Loss: 0.1719	LR: 0.004000
Training Epoch: 34 [16896/47500]	Loss: 0.1306	LR: 0.004000
Training Epoch: 34 [17152/47500]	Loss: 0.1004	LR: 0.004000
Training Epoch: 34 [17408/47500]	Loss: 0.1488	LR: 0.004000
Training Epoch: 34 [17664/47500]	Loss: 0.1235	LR: 0.004000
Training Epoch: 34 [17920/47500]	Loss: 0.1273	LR: 0.004000
Training Epoch: 34 [18176/47500]	Loss: 0.1379	LR: 0.004000
Training Epoch: 34 [18432/47500]	Loss: 0.1741	LR: 0.004000
Training Epoch: 34 [18688/47500]	Loss: 0.1691	LR: 0.004000
Training Epoch: 34 [18944/47500]	Loss: 0.1558	LR: 0.004000
Training Epoch: 34 [19200/47500]	Loss: 0.1679	LR: 0.004000
Training Epoch: 34 [19456/47500]	Loss: 0.1563	LR: 0.004000
Training Epoch: 34 [19712/47500]	Loss: 0.1292	LR: 0.004000
Training Epoch: 34 [19968/47500]	Loss: 0.1351	LR: 0.004000
Training Epoch: 34 [20224/47500]	Loss: 0.1187	LR: 0.004000
Training Epoch: 34 [20480/47500]	Loss: 0.1742	LR: 0.004000
Training Epoch: 34 [20736/47500]	Loss: 0.1581	LR: 0.004000
Training Epoch: 34 [20992/47500]	Loss: 0.1308	LR: 0.004000
Training Epoch: 34 [21248/47500]	Loss: 0.1433	LR: 0.004000
Training Epoch: 34 [21504/47500]	Loss: 0.1355	LR: 0.004000
Training Epoch: 34 [21760/47500]	Loss: 0.1809	LR: 0.004000
Training Epoch: 34 [22016/47500]	Loss: 0.1408	LR: 0.004000
Training Epoch: 34 [22272/47500]	Loss: 0.1470	LR: 0.004000
Training Epoch: 34 [22528/47500]	Loss: 0.1585	LR: 0.004000
Training Epoch: 34 [22784/47500]	Loss: 0.2153	LR: 0.004000
Training Epoch: 34 [23040/47500]	Loss: 0.1388	LR: 0.004000
Training Epoch: 34 [23296/47500]	Loss: 0.2081	LR: 0.004000
Training Epoch: 34 [23552/47500]	Loss: 0.1430	LR: 0.004000
Training Epoch: 34 [23808/47500]	Loss: 0.1358	LR: 0.004000
Training Epoch: 34 [24064/47500]	Loss: 0.0935	LR: 0.004000
Training Epoch: 34 [24320/47500]	Loss: 0.1517	LR: 0.004000
Training Epoch: 34 [24576/47500]	Loss: 0.1096	LR: 0.004000
Training Epoch: 34 [24832/47500]	Loss: 0.1014	LR: 0.004000
Training Epoch: 34 [25088/47500]	Loss: 0.1612	LR: 0.004000
Training Epoch: 34 [25344/47500]	Loss: 0.1208	LR: 0.004000
Training Epoch: 34 [25600/47500]	Loss: 0.1245	LR: 0.004000
Training Epoch: 34 [25856/47500]	Loss: 0.1433	LR: 0.004000
Training Epoch: 34 [26112/47500]	Loss: 0.1462	LR: 0.004000
Training Epoch: 34 [26368/47500]	Loss: 0.0829	LR: 0.004000
Training Epoch: 34 [26624/47500]	Loss: 0.1287	LR: 0.004000
Training Epoch: 34 [26880/47500]	Loss: 0.1368	LR: 0.004000
Training Epoch: 34 [27136/47500]	Loss: 0.1130	LR: 0.004000
Training Epoch: 34 [27392/47500]	Loss: 0.1948	LR: 0.004000
Training Epoch: 34 [27648/47500]	Loss: 0.1312	LR: 0.004000
Training Epoch: 34 [27904/47500]	Loss: 0.1043	LR: 0.004000
Training Epoch: 34 [28160/47500]	Loss: 0.1315	LR: 0.004000
Training Epoch: 34 [28416/47500]	Loss: 0.1241	LR: 0.004000
Training Epoch: 34 [28672/47500]	Loss: 0.1535	LR: 0.004000
Training Epoch: 34 [28928/47500]	Loss: 0.1456	LR: 0.004000
Training Epoch: 34 [29184/47500]	Loss: 0.1724	LR: 0.004000
Training Epoch: 34 [29440/47500]	Loss: 0.2217	LR: 0.004000
Training Epoch: 34 [29696/47500]	Loss: 0.1457	LR: 0.004000
Training Epoch: 34 [29952/47500]	Loss: 0.1369	LR: 0.004000
Training Epoch: 34 [30208/47500]	Loss: 0.1285	LR: 0.004000
Training Epoch: 34 [30464/47500]	Loss: 0.1618	LR: 0.004000
Training Epoch: 34 [30720/47500]	Loss: 0.1233	LR: 0.004000
Training Epoch: 34 [30976/47500]	Loss: 0.1259	LR: 0.004000
Training Epoch: 34 [31232/47500]	Loss: 0.1042	LR: 0.004000
Training Epoch: 34 [31488/47500]	Loss: 0.1306	LR: 0.004000
Training Epoch: 34 [31744/47500]	Loss: 0.1285	LR: 0.004000
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Training Epoch: 34 [43264/47500]	Loss: 0.0982	LR: 0.004000
Training Epoch: 34 [43520/47500]	Loss: 0.1333	LR: 0.004000
Training Epoch: 34 [43776/47500]	Loss: 0.1128	LR: 0.004000
Training Epoch: 34 [44032/47500]	Loss: 0.1146	LR: 0.004000
Training Epoch: 34 [44288/47500]	Loss: 0.0926	LR: 0.004000
Training Epoch: 34 [44544/47500]	Loss: 0.1693	LR: 0.004000
Training Epoch: 34 [44800/47500]	Loss: 0.1193	LR: 0.004000
Training Epoch: 34 [45056/47500]	Loss: 0.1246	LR: 0.004000
Training Epoch: 34 [45312/47500]	Loss: 0.1223	LR: 0.004000
Training Epoch: 34 [45568/47500]	Loss: 0.1081	LR: 0.004000
Training Epoch: 34 [45824/47500]	Loss: 0.1831	LR: 0.004000
Training Epoch: 34 [46080/47500]	Loss: 0.1467	LR: 0.004000
Training Epoch: 34 [46336/47500]	Loss: 0.2053	LR: 0.004000
Training Epoch: 34 [46592/47500]	Loss: 0.1585	LR: 0.004000
Training Epoch: 34 [46848/47500]	Loss: 0.0820	LR: 0.004000
Training Epoch: 34 [47104/47500]	Loss: 0.1351	LR: 0.004000
Training Epoch: 34 [47360/47500]	Loss: 0.1645	LR: 0.004000
Training Epoch: 34 [47500/47500]	Loss: 0.1574	LR: 0.004000
Epoch 34 - Average Train Loss: 0.1393, Train Accuracy: 0.9583
Epoch 34 training time consumed: 28.23s
Evaluating Network.....
Test set: Epoch: 34, Average loss: 0.0028, Accuracy: 0.8077, Time consumed:0.92s
Training Epoch: 35 [256/47500]	Loss: 0.1120	LR: 0.000800
Training Epoch: 35 [512/47500]	Loss: 0.1842	LR: 0.000800
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Training Epoch: 35 [1024/47500]	Loss: 0.1736	LR: 0.000800
Training Epoch: 35 [1280/47500]	Loss: 0.1048	LR: 0.000800
Training Epoch: 35 [1536/47500]	Loss: 0.1743	LR: 0.000800
Training Epoch: 35 [1792/47500]	Loss: 0.1142	LR: 0.000800
Training Epoch: 35 [2048/47500]	Loss: 0.1116	LR: 0.000800
Training Epoch: 35 [2304/47500]	Loss: 0.1472	LR: 0.000800
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Training Epoch: 35 [2816/47500]	Loss: 0.1298	LR: 0.000800
Training Epoch: 35 [3072/47500]	Loss: 0.0929	LR: 0.000800
Training Epoch: 35 [3328/47500]	Loss: 0.1384	LR: 0.000800
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Training Epoch: 35 [4864/47500]	Loss: 0.1081	LR: 0.000800
Training Epoch: 35 [5120/47500]	Loss: 0.0828	LR: 0.000800
Training Epoch: 35 [5376/47500]	Loss: 0.1201	LR: 0.000800
Training Epoch: 35 [5632/47500]	Loss: 0.0943	LR: 0.000800
Training Epoch: 35 [5888/47500]	Loss: 0.1122	LR: 0.000800
Training Epoch: 35 [6144/47500]	Loss: 0.1329	LR: 0.000800
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Training Epoch: 35 [8448/47500]	Loss: 0.1556	LR: 0.000800
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Training Epoch: 35 [44288/47500]	Loss: 0.1102	LR: 0.000800
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Training Epoch: 35 [44800/47500]	Loss: 0.1213	LR: 0.000800
Training Epoch: 35 [45056/47500]	Loss: 0.1468	LR: 0.000800
Training Epoch: 35 [45312/47500]	Loss: 0.0895	LR: 0.000800
Training Epoch: 35 [45568/47500]	Loss: 0.1205	LR: 0.000800
Training Epoch: 35 [45824/47500]	Loss: 0.1184	LR: 0.000800
Training Epoch: 35 [46080/47500]	Loss: 0.1065	LR: 0.000800
Training Epoch: 35 [46336/47500]	Loss: 0.1038	LR: 0.000800
Training Epoch: 35 [46592/47500]	Loss: 0.1093	LR: 0.000800
Training Epoch: 35 [46848/47500]	Loss: 0.1520	LR: 0.000800
Training Epoch: 35 [47104/47500]	Loss: 0.1019	LR: 0.000800
Training Epoch: 35 [47360/47500]	Loss: 0.0983	LR: 0.000800
Training Epoch: 35 [47500/47500]	Loss: 0.2053	LR: 0.000800
Epoch 35 - Average Train Loss: 0.1209, Train Accuracy: 0.9648
Epoch 35 training time consumed: 28.22s
Evaluating Network.....
Test set: Epoch: 35, Average loss: 0.0027, Accuracy: 0.8124, Time consumed:0.87s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_21h_46m_16s/ResNet18-Cifar20-seed8-ret50-35-best.pth
Training Epoch: 36 [256/47500]	Loss: 0.1130	LR: 0.000800
Training Epoch: 36 [512/47500]	Loss: 0.1181	LR: 0.000800
Training Epoch: 36 [768/47500]	Loss: 0.1327	LR: 0.000800
Training Epoch: 36 [1024/47500]	Loss: 0.1045	LR: 0.000800
Training Epoch: 36 [1280/47500]	Loss: 0.1005	LR: 0.000800
Training Epoch: 36 [1536/47500]	Loss: 0.1042	LR: 0.000800
Training Epoch: 36 [1792/47500]	Loss: 0.1083	LR: 0.000800
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Training Epoch: 36 [8704/47500]	Loss: 0.1167	LR: 0.000800
Training Epoch: 36 [8960/47500]	Loss: 0.1206	LR: 0.000800
Training Epoch: 36 [9216/47500]	Loss: 0.1092	LR: 0.000800
Training Epoch: 36 [9472/47500]	Loss: 0.1119	LR: 0.000800
Training Epoch: 36 [9728/47500]	Loss: 0.0872	LR: 0.000800
Training Epoch: 36 [9984/47500]	Loss: 0.1112	LR: 0.000800
Training Epoch: 36 [10240/47500]	Loss: 0.0865	LR: 0.000800
Training Epoch: 36 [10496/47500]	Loss: 0.0997	LR: 0.000800
Training Epoch: 36 [10752/47500]	Loss: 0.1108	LR: 0.000800
Training Epoch: 36 [11008/47500]	Loss: 0.0921	LR: 0.000800
Training Epoch: 36 [11264/47500]	Loss: 0.0917	LR: 0.000800
Training Epoch: 36 [11520/47500]	Loss: 0.0965	LR: 0.000800
Training Epoch: 36 [11776/47500]	Loss: 0.0748	LR: 0.000800
Training Epoch: 36 [12032/47500]	Loss: 0.0907	LR: 0.000800
Training Epoch: 36 [12288/47500]	Loss: 0.1192	LR: 0.000800
Training Epoch: 36 [12544/47500]	Loss: 0.1148	LR: 0.000800
Training Epoch: 36 [12800/47500]	Loss: 0.1165	LR: 0.000800
Training Epoch: 36 [13056/47500]	Loss: 0.1048	LR: 0.000800
Training Epoch: 36 [13312/47500]	Loss: 0.1217	LR: 0.000800
Training Epoch: 36 [13568/47500]	Loss: 0.1164	LR: 0.000800
Training Epoch: 36 [13824/47500]	Loss: 0.1162	LR: 0.000800
Training Epoch: 36 [14080/47500]	Loss: 0.1216	LR: 0.000800
Training Epoch: 36 [14336/47500]	Loss: 0.1589	LR: 0.000800
Training Epoch: 36 [14592/47500]	Loss: 0.0964	LR: 0.000800
Training Epoch: 36 [14848/47500]	Loss: 0.1405	LR: 0.000800
Training Epoch: 36 [15104/47500]	Loss: 0.0886	LR: 0.000800
Training Epoch: 36 [15360/47500]	Loss: 0.1273	LR: 0.000800
Training Epoch: 36 [15616/47500]	Loss: 0.1320	LR: 0.000800
Training Epoch: 36 [15872/47500]	Loss: 0.1952	LR: 0.000800
Training Epoch: 36 [16128/47500]	Loss: 0.1226	LR: 0.000800
Training Epoch: 36 [16384/47500]	Loss: 0.2100	LR: 0.000800
Training Epoch: 36 [16640/47500]	Loss: 0.1218	LR: 0.000800
Training Epoch: 36 [16896/47500]	Loss: 0.1134	LR: 0.000800
Training Epoch: 36 [17152/47500]	Loss: 0.1018	LR: 0.000800
Training Epoch: 36 [17408/47500]	Loss: 0.0834	LR: 0.000800
Training Epoch: 36 [17664/47500]	Loss: 0.1470	LR: 0.000800
Training Epoch: 36 [17920/47500]	Loss: 0.1804	LR: 0.000800
Training Epoch: 36 [18176/47500]	Loss: 0.1394	LR: 0.000800
Training Epoch: 36 [18432/47500]	Loss: 0.1336	LR: 0.000800
Training Epoch: 36 [18688/47500]	Loss: 0.1092	LR: 0.000800
Training Epoch: 36 [18944/47500]	Loss: 0.0829	LR: 0.000800
Training Epoch: 36 [19200/47500]	Loss: 0.1383	LR: 0.000800
Training Epoch: 36 [19456/47500]	Loss: 0.1098	LR: 0.000800
Training Epoch: 36 [19712/47500]	Loss: 0.1157	LR: 0.000800
Training Epoch: 36 [19968/47500]	Loss: 0.1552	LR: 0.000800
Training Epoch: 36 [20224/47500]	Loss: 0.1485	LR: 0.000800
Training Epoch: 36 [20480/47500]	Loss: 0.1006	LR: 0.000800
Training Epoch: 36 [20736/47500]	Loss: 0.0997	LR: 0.000800
Training Epoch: 36 [20992/47500]	Loss: 0.1362	LR: 0.000800
Training Epoch: 36 [21248/47500]	Loss: 0.1190	LR: 0.000800
Training Epoch: 36 [21504/47500]	Loss: 0.1320	LR: 0.000800
Training Epoch: 36 [21760/47500]	Loss: 0.1185	LR: 0.000800
Training Epoch: 36 [22016/47500]	Loss: 0.0956	LR: 0.000800
Training Epoch: 36 [22272/47500]	Loss: 0.1499	LR: 0.000800
Training Epoch: 36 [22528/47500]	Loss: 0.0759	LR: 0.000800
Training Epoch: 36 [22784/47500]	Loss: 0.1081	LR: 0.000800
Training Epoch: 36 [23040/47500]	Loss: 0.1037	LR: 0.000800
Training Epoch: 36 [23296/47500]	Loss: 0.1065	LR: 0.000800
Training Epoch: 36 [23552/47500]	Loss: 0.1511	LR: 0.000800
Training Epoch: 36 [23808/47500]	Loss: 0.0928	LR: 0.000800
Training Epoch: 36 [24064/47500]	Loss: 0.0896	LR: 0.000800
Training Epoch: 36 [24320/47500]	Loss: 0.0986	LR: 0.000800
Training Epoch: 36 [24576/47500]	Loss: 0.0954	LR: 0.000800
Training Epoch: 36 [24832/47500]	Loss: 0.1094	LR: 0.000800
Training Epoch: 36 [25088/47500]	Loss: 0.1308	LR: 0.000800
Training Epoch: 36 [25344/47500]	Loss: 0.1111	LR: 0.000800
Training Epoch: 36 [25600/47500]	Loss: 0.1334	LR: 0.000800
Training Epoch: 36 [25856/47500]	Loss: 0.1127	LR: 0.000800
Training Epoch: 36 [26112/47500]	Loss: 0.0920	LR: 0.000800
Training Epoch: 36 [26368/47500]	Loss: 0.1216	LR: 0.000800
Training Epoch: 36 [26624/47500]	Loss: 0.1185	LR: 0.000800
Training Epoch: 36 [26880/47500]	Loss: 0.1297	LR: 0.000800
Training Epoch: 36 [27136/47500]	Loss: 0.1225	LR: 0.000800
Training Epoch: 36 [27392/47500]	Loss: 0.1341	LR: 0.000800
Training Epoch: 36 [27648/47500]	Loss: 0.1495	LR: 0.000800
Training Epoch: 36 [27904/47500]	Loss: 0.0860	LR: 0.000800
Training Epoch: 36 [28160/47500]	Loss: 0.1446	LR: 0.000800
Training Epoch: 36 [28416/47500]	Loss: 0.0804	LR: 0.000800
Training Epoch: 36 [28672/47500]	Loss: 0.0796	LR: 0.000800
Training Epoch: 36 [28928/47500]	Loss: 0.1095	LR: 0.000800
Training Epoch: 36 [29184/47500]	Loss: 0.1115	LR: 0.000800
Training Epoch: 36 [29440/47500]	Loss: 0.1082	LR: 0.000800
Training Epoch: 36 [29696/47500]	Loss: 0.0645	LR: 0.000800
Training Epoch: 36 [29952/47500]	Loss: 0.1312	LR: 0.000800
Training Epoch: 36 [30208/47500]	Loss: 0.1286	LR: 0.000800
Training Epoch: 36 [30464/47500]	Loss: 0.1446	LR: 0.000800
Training Epoch: 36 [30720/47500]	Loss: 0.1255	LR: 0.000800
Training Epoch: 36 [30976/47500]	Loss: 0.0922	LR: 0.000800
Training Epoch: 36 [31232/47500]	Loss: 0.0917	LR: 0.000800
Training Epoch: 36 [31488/47500]	Loss: 0.1326	LR: 0.000800
Training Epoch: 36 [31744/47500]	Loss: 0.1054	LR: 0.000800
Training Epoch: 36 [32000/47500]	Loss: 0.1317	LR: 0.000800
Training Epoch: 36 [32256/47500]	Loss: 0.0791	LR: 0.000800
Training Epoch: 36 [32512/47500]	Loss: 0.0893	LR: 0.000800
Training Epoch: 36 [32768/47500]	Loss: 0.1332	LR: 0.000800
Training Epoch: 36 [33024/47500]	Loss: 0.0856	LR: 0.000800
Training Epoch: 36 [33280/47500]	Loss: 0.0901	LR: 0.000800
Training Epoch: 36 [33536/47500]	Loss: 0.1071	LR: 0.000800
Training Epoch: 36 [33792/47500]	Loss: 0.1308	LR: 0.000800
Training Epoch: 36 [34048/47500]	Loss: 0.1225	LR: 0.000800
Training Epoch: 36 [34304/47500]	Loss: 0.0942	LR: 0.000800
Training Epoch: 36 [34560/47500]	Loss: 0.1223	LR: 0.000800
Training Epoch: 36 [34816/47500]	Loss: 0.1412	LR: 0.000800
Training Epoch: 36 [35072/47500]	Loss: 0.0854	LR: 0.000800
Training Epoch: 36 [35328/47500]	Loss: 0.0685	LR: 0.000800
Training Epoch: 36 [35584/47500]	Loss: 0.0988	LR: 0.000800
Training Epoch: 36 [35840/47500]	Loss: 0.1304	LR: 0.000800
Training Epoch: 36 [36096/47500]	Loss: 0.1668	LR: 0.000800
Training Epoch: 36 [36352/47500]	Loss: 0.1179	LR: 0.000800
Training Epoch: 36 [36608/47500]	Loss: 0.1126	LR: 0.000800
Training Epoch: 36 [36864/47500]	Loss: 0.0918	LR: 0.000800
Training Epoch: 36 [37120/47500]	Loss: 0.0818	LR: 0.000800
Training Epoch: 36 [37376/47500]	Loss: 0.1035	LR: 0.000800
Training Epoch: 36 [37632/47500]	Loss: 0.0947	LR: 0.000800
Training Epoch: 36 [37888/47500]	Loss: 0.1014	LR: 0.000800
Training Epoch: 36 [38144/47500]	Loss: 0.0584	LR: 0.000800
Training Epoch: 36 [38400/47500]	Loss: 0.1352	LR: 0.000800
Training Epoch: 36 [38656/47500]	Loss: 0.1121	LR: 0.000800
Training Epoch: 36 [38912/47500]	Loss: 0.1174	LR: 0.000800
Training Epoch: 36 [39168/47500]	Loss: 0.1277	LR: 0.000800
Training Epoch: 36 [39424/47500]	Loss: 0.1032	LR: 0.000800
Training Epoch: 36 [39680/47500]	Loss: 0.0940	LR: 0.000800
Training Epoch: 36 [39936/47500]	Loss: 0.1450	LR: 0.000800
Training Epoch: 36 [40192/47500]	Loss: 0.1269	LR: 0.000800
Training Epoch: 36 [40448/47500]	Loss: 0.1205	LR: 0.000800
Training Epoch: 36 [40704/47500]	Loss: 0.0863	LR: 0.000800
Training Epoch: 36 [40960/47500]	Loss: 0.0861	LR: 0.000800
Training Epoch: 36 [41216/47500]	Loss: 0.0968	LR: 0.000800
Training Epoch: 36 [41472/47500]	Loss: 0.1049	LR: 0.000800
Training Epoch: 36 [41728/47500]	Loss: 0.0938	LR: 0.000800
Training Epoch: 36 [41984/47500]	Loss: 0.1176	LR: 0.000800
Training Epoch: 36 [42240/47500]	Loss: 0.1143	LR: 0.000800
Training Epoch: 36 [42496/47500]	Loss: 0.1295	LR: 0.000800
Training Epoch: 36 [42752/47500]	Loss: 0.1305	LR: 0.000800
Training Epoch: 36 [43008/47500]	Loss: 0.1145	LR: 0.000800
Training Epoch: 36 [43264/47500]	Loss: 0.1002	LR: 0.000800
Training Epoch: 36 [43520/47500]	Loss: 0.0997	LR: 0.000800
Training Epoch: 36 [43776/47500]	Loss: 0.1268	LR: 0.000800
Training Epoch: 36 [44032/47500]	Loss: 0.0868	LR: 0.000800
Training Epoch: 36 [44288/47500]	Loss: 0.0800	LR: 0.000800
Training Epoch: 36 [44544/47500]	Loss: 0.0959	LR: 0.000800
Training Epoch: 36 [44800/47500]	Loss: 0.1254	LR: 0.000800
Training Epoch: 36 [45056/47500]	Loss: 0.1104	LR: 0.000800
Training Epoch: 36 [45312/47500]	Loss: 0.1162	LR: 0.000800
Training Epoch: 36 [45568/47500]	Loss: 0.1192	LR: 0.000800
Training Epoch: 36 [45824/47500]	Loss: 0.1092	LR: 0.000800
Training Epoch: 36 [46080/47500]	Loss: 0.0695	LR: 0.000800
Training Epoch: 36 [46336/47500]	Loss: 0.1057	LR: 0.000800
Training Epoch: 36 [46592/47500]	Loss: 0.1498	LR: 0.000800
Training Epoch: 36 [46848/47500]	Loss: 0.1102	LR: 0.000800
Training Epoch: 36 [47104/47500]	Loss: 0.1625	LR: 0.000800
Training Epoch: 36 [47360/47500]	Loss: 0.1019	LR: 0.000800
Training Epoch: 36 [47500/47500]	Loss: 0.1280	LR: 0.000800
Epoch 36 - Average Train Loss: 0.1135, Train Accuracy: 0.9668
Epoch 36 training time consumed: 28.22s
Evaluating Network.....
Test set: Epoch: 36, Average loss: 0.0028, Accuracy: 0.8111, Time consumed:0.92s
Training Epoch: 37 [256/47500]	Loss: 0.1206	LR: 0.000800
Training Epoch: 37 [512/47500]	Loss: 0.1150	LR: 0.000800
Training Epoch: 37 [768/47500]	Loss: 0.1205	LR: 0.000800
Training Epoch: 37 [1024/47500]	Loss: 0.0960	LR: 0.000800
Training Epoch: 37 [1280/47500]	Loss: 0.0907	LR: 0.000800
Training Epoch: 37 [1536/47500]	Loss: 0.0921	LR: 0.000800
Training Epoch: 37 [1792/47500]	Loss: 0.0881	LR: 0.000800
Training Epoch: 37 [2048/47500]	Loss: 0.1044	LR: 0.000800
Training Epoch: 37 [2304/47500]	Loss: 0.0916	LR: 0.000800
Training Epoch: 37 [2560/47500]	Loss: 0.0899	LR: 0.000800
Training Epoch: 37 [2816/47500]	Loss: 0.0784	LR: 0.000800
Training Epoch: 37 [3072/47500]	Loss: 0.0982	LR: 0.000800
Training Epoch: 37 [3328/47500]	Loss: 0.1002	LR: 0.000800
Training Epoch: 37 [3584/47500]	Loss: 0.1258	LR: 0.000800
Training Epoch: 37 [3840/47500]	Loss: 0.0875	LR: 0.000800
Training Epoch: 37 [4096/47500]	Loss: 0.1038	LR: 0.000800
Training Epoch: 37 [4352/47500]	Loss: 0.0752	LR: 0.000800
Training Epoch: 37 [4608/47500]	Loss: 0.1215	LR: 0.000800
Training Epoch: 37 [4864/47500]	Loss: 0.1234	LR: 0.000800
Training Epoch: 37 [5120/47500]	Loss: 0.0887	LR: 0.000800
Training Epoch: 37 [5376/47500]	Loss: 0.1722	LR: 0.000800
Training Epoch: 37 [5632/47500]	Loss: 0.0683	LR: 0.000800
Training Epoch: 37 [5888/47500]	Loss: 0.0766	LR: 0.000800
Training Epoch: 37 [6144/47500]	Loss: 0.1511	LR: 0.000800
Training Epoch: 37 [6400/47500]	Loss: 0.0948	LR: 0.000800
Training Epoch: 37 [6656/47500]	Loss: 0.1029	LR: 0.000800
Training Epoch: 37 [6912/47500]	Loss: 0.1373	LR: 0.000800
Training Epoch: 37 [7168/47500]	Loss: 0.0869	LR: 0.000800
Training Epoch: 37 [7424/47500]	Loss: 0.1068	LR: 0.000800
Training Epoch: 37 [7680/47500]	Loss: 0.0602	LR: 0.000800
Training Epoch: 37 [7936/47500]	Loss: 0.1104	LR: 0.000800
Training Epoch: 37 [8192/47500]	Loss: 0.1077	LR: 0.000800
Training Epoch: 37 [8448/47500]	Loss: 0.0945	LR: 0.000800
Training Epoch: 37 [8704/47500]	Loss: 0.0979	LR: 0.000800
Training Epoch: 37 [8960/47500]	Loss: 0.1147	LR: 0.000800
Training Epoch: 37 [9216/47500]	Loss: 0.0991	LR: 0.000800
Training Epoch: 37 [9472/47500]	Loss: 0.0824	LR: 0.000800
Training Epoch: 37 [9728/47500]	Loss: 0.1591	LR: 0.000800
Training Epoch: 37 [9984/47500]	Loss: 0.1077	LR: 0.000800
Training Epoch: 37 [10240/47500]	Loss: 0.0701	LR: 0.000800
Training Epoch: 37 [10496/47500]	Loss: 0.1395	LR: 0.000800
Training Epoch: 37 [10752/47500]	Loss: 0.1208	LR: 0.000800
Training Epoch: 37 [11008/47500]	Loss: 0.0905	LR: 0.000800
Training Epoch: 37 [11264/47500]	Loss: 0.1363	LR: 0.000800
Training Epoch: 37 [11520/47500]	Loss: 0.1032	LR: 0.000800
Training Epoch: 37 [11776/47500]	Loss: 0.1454	LR: 0.000800
Training Epoch: 37 [12032/47500]	Loss: 0.1094	LR: 0.000800
Training Epoch: 37 [12288/47500]	Loss: 0.1366	LR: 0.000800
Training Epoch: 37 [12544/47500]	Loss: 0.0940	LR: 0.000800
Training Epoch: 37 [12800/47500]	Loss: 0.0772	LR: 0.000800
Training Epoch: 37 [13056/47500]	Loss: 0.1112	LR: 0.000800
Training Epoch: 37 [13312/47500]	Loss: 0.1299	LR: 0.000800
Training Epoch: 37 [13568/47500]	Loss: 0.0593	LR: 0.000800
Training Epoch: 37 [13824/47500]	Loss: 0.0978	LR: 0.000800
Training Epoch: 37 [14080/47500]	Loss: 0.0922	LR: 0.000800
Training Epoch: 37 [14336/47500]	Loss: 0.1572	LR: 0.000800
Training Epoch: 37 [14592/47500]	Loss: 0.1013	LR: 0.000800
Training Epoch: 37 [14848/47500]	Loss: 0.1503	LR: 0.000800
Training Epoch: 37 [15104/47500]	Loss: 0.1100	LR: 0.000800
Training Epoch: 37 [15360/47500]	Loss: 0.1083	LR: 0.000800
Training Epoch: 37 [15616/47500]	Loss: 0.1170	LR: 0.000800
Training Epoch: 37 [15872/47500]	Loss: 0.0867	LR: 0.000800
Training Epoch: 37 [16128/47500]	Loss: 0.0848	LR: 0.000800
Training Epoch: 37 [16384/47500]	Loss: 0.0598	LR: 0.000800
Training Epoch: 37 [16640/47500]	Loss: 0.0846	LR: 0.000800
Training Epoch: 37 [16896/47500]	Loss: 0.1476	LR: 0.000800
Training Epoch: 37 [17152/47500]	Loss: 0.0989	LR: 0.000800
Training Epoch: 37 [17408/47500]	Loss: 0.0890	LR: 0.000800
Training Epoch: 37 [17664/47500]	Loss: 0.1307	LR: 0.000800
Training Epoch: 37 [17920/47500]	Loss: 0.0983	LR: 0.000800
Training Epoch: 37 [18176/47500]	Loss: 0.0877	LR: 0.000800
Training Epoch: 37 [18432/47500]	Loss: 0.0930	LR: 0.000800
Training Epoch: 37 [18688/47500]	Loss: 0.1351	LR: 0.000800
Training Epoch: 37 [18944/47500]	Loss: 0.1021	LR: 0.000800
Training Epoch: 37 [19200/47500]	Loss: 0.1291	LR: 0.000800
Training Epoch: 37 [19456/47500]	Loss: 0.1180	LR: 0.000800
Training Epoch: 37 [19712/47500]	Loss: 0.0880	LR: 0.000800
Training Epoch: 37 [19968/47500]	Loss: 0.1103	LR: 0.000800
Training Epoch: 37 [20224/47500]	Loss: 0.1009	LR: 0.000800
Training Epoch: 37 [20480/47500]	Loss: 0.1417	LR: 0.000800
Training Epoch: 37 [20736/47500]	Loss: 0.1070	LR: 0.000800
Training Epoch: 37 [20992/47500]	Loss: 0.0730	LR: 0.000800
Training Epoch: 37 [21248/47500]	Loss: 0.0929	LR: 0.000800
Training Epoch: 37 [21504/47500]	Loss: 0.1213	LR: 0.000800
Training Epoch: 37 [21760/47500]	Loss: 0.1107	LR: 0.000800
Training Epoch: 37 [22016/47500]	Loss: 0.1219	LR: 0.000800
Training Epoch: 37 [22272/47500]	Loss: 0.1007	LR: 0.000800
Training Epoch: 37 [22528/47500]	Loss: 0.0709	LR: 0.000800
Training Epoch: 37 [22784/47500]	Loss: 0.1197	LR: 0.000800
Training Epoch: 37 [23040/47500]	Loss: 0.1169	LR: 0.000800
Training Epoch: 37 [23296/47500]	Loss: 0.1707	LR: 0.000800
Training Epoch: 37 [23552/47500]	Loss: 0.1210	LR: 0.000800
Training Epoch: 37 [23808/47500]	Loss: 0.1158	LR: 0.000800
Training Epoch: 37 [24064/47500]	Loss: 0.1077	LR: 0.000800
Training Epoch: 37 [24320/47500]	Loss: 0.1051	LR: 0.000800
Training Epoch: 37 [24576/47500]	Loss: 0.1052	LR: 0.000800
Training Epoch: 37 [24832/47500]	Loss: 0.1115	LR: 0.000800
Training Epoch: 37 [25088/47500]	Loss: 0.1358	LR: 0.000800
Training Epoch: 37 [25344/47500]	Loss: 0.1372	LR: 0.000800
Training Epoch: 37 [25600/47500]	Loss: 0.1359	LR: 0.000800
Training Epoch: 37 [25856/47500]	Loss: 0.0853	LR: 0.000800
Training Epoch: 37 [26112/47500]	Loss: 0.1257	LR: 0.000800
Training Epoch: 37 [26368/47500]	Loss: 0.1224	LR: 0.000800
Training Epoch: 37 [26624/47500]	Loss: 0.1004	LR: 0.000800
Training Epoch: 37 [26880/47500]	Loss: 0.1016	LR: 0.000800
Training Epoch: 37 [27136/47500]	Loss: 0.1058	LR: 0.000800
Training Epoch: 37 [27392/47500]	Loss: 0.1208	LR: 0.000800
Training Epoch: 37 [27648/47500]	Loss: 0.0856	LR: 0.000800
Training Epoch: 37 [27904/47500]	Loss: 0.1159	LR: 0.000800
Training Epoch: 37 [28160/47500]	Loss: 0.1229	LR: 0.000800
Training Epoch: 37 [28416/47500]	Loss: 0.0827	LR: 0.000800
Training Epoch: 37 [28672/47500]	Loss: 0.1053	LR: 0.000800
Training Epoch: 37 [28928/47500]	Loss: 0.1125	LR: 0.000800
Training Epoch: 37 [29184/47500]	Loss: 0.1082	LR: 0.000800
Training Epoch: 37 [29440/47500]	Loss: 0.1215	LR: 0.000800
Training Epoch: 37 [29696/47500]	Loss: 0.1125	LR: 0.000800
Training Epoch: 37 [29952/47500]	Loss: 0.0824	LR: 0.000800
Training Epoch: 37 [30208/47500]	Loss: 0.1326	LR: 0.000800
Training Epoch: 37 [30464/47500]	Loss: 0.1383	LR: 0.000800
Training Epoch: 37 [30720/47500]	Loss: 0.0726	LR: 0.000800
Training Epoch: 37 [30976/47500]	Loss: 0.1406	LR: 0.000800
Training Epoch: 37 [31232/47500]	Loss: 0.1316	LR: 0.000800
Training Epoch: 37 [31488/47500]	Loss: 0.1556	LR: 0.000800
Training Epoch: 37 [31744/47500]	Loss: 0.0991	LR: 0.000800
Training Epoch: 37 [32000/47500]	Loss: 0.1084	LR: 0.000800
Training Epoch: 37 [32256/47500]	Loss: 0.1048	LR: 0.000800
Training Epoch: 37 [32512/47500]	Loss: 0.0995	LR: 0.000800
Training Epoch: 37 [32768/47500]	Loss: 0.1167	LR: 0.000800
Training Epoch: 37 [33024/47500]	Loss: 0.1656	LR: 0.000800
Training Epoch: 37 [33280/47500]	Loss: 0.0798	LR: 0.000800
Training Epoch: 37 [33536/47500]	Loss: 0.1082	LR: 0.000800
Training Epoch: 37 [33792/47500]	Loss: 0.1053	LR: 0.000800
Training Epoch: 37 [34048/47500]	Loss: 0.1313	LR: 0.000800
Training Epoch: 37 [34304/47500]	Loss: 0.1126	LR: 0.000800
Training Epoch: 37 [34560/47500]	Loss: 0.1195	LR: 0.000800
Training Epoch: 37 [34816/47500]	Loss: 0.0967	LR: 0.000800
Training Epoch: 37 [35072/47500]	Loss: 0.1066	LR: 0.000800
Training Epoch: 37 [35328/47500]	Loss: 0.1561	LR: 0.000800
Training Epoch: 37 [35584/47500]	Loss: 0.1105	LR: 0.000800
Training Epoch: 37 [35840/47500]	Loss: 0.1361	LR: 0.000800
Training Epoch: 37 [36096/47500]	Loss: 0.1327	LR: 0.000800
Training Epoch: 37 [36352/47500]	Loss: 0.1103	LR: 0.000800
Training Epoch: 37 [36608/47500]	Loss: 0.0882	LR: 0.000800
Training Epoch: 37 [36864/47500]	Loss: 0.1344	LR: 0.000800
Training Epoch: 37 [37120/47500]	Loss: 0.1166	LR: 0.000800
Training Epoch: 37 [37376/47500]	Loss: 0.1025	LR: 0.000800
Training Epoch: 37 [37632/47500]	Loss: 0.0842	LR: 0.000800
Training Epoch: 37 [37888/47500]	Loss: 0.1211	LR: 0.000800
Training Epoch: 37 [38144/47500]	Loss: 0.0871	LR: 0.000800
Training Epoch: 37 [38400/47500]	Loss: 0.1537	LR: 0.000800
Training Epoch: 37 [38656/47500]	Loss: 0.1665	LR: 0.000800
Training Epoch: 37 [38912/47500]	Loss: 0.0961	LR: 0.000800
Training Epoch: 37 [39168/47500]	Loss: 0.1175	LR: 0.000800
Training Epoch: 37 [39424/47500]	Loss: 0.1023	LR: 0.000800
Training Epoch: 37 [39680/47500]	Loss: 0.0883	LR: 0.000800
Training Epoch: 37 [39936/47500]	Loss: 0.1373	LR: 0.000800
Training Epoch: 37 [40192/47500]	Loss: 0.1064	LR: 0.000800
Training Epoch: 37 [40448/47500]	Loss: 0.1233	LR: 0.000800
Training Epoch: 37 [40704/47500]	Loss: 0.0973	LR: 0.000800
Training Epoch: 37 [40960/47500]	Loss: 0.1405	LR: 0.000800
Training Epoch: 37 [41216/47500]	Loss: 0.1283	LR: 0.000800
Training Epoch: 37 [41472/47500]	Loss: 0.1155	LR: 0.000800
Training Epoch: 37 [41728/47500]	Loss: 0.1011	LR: 0.000800
Training Epoch: 37 [41984/47500]	Loss: 0.0842	LR: 0.000800
Training Epoch: 37 [42240/47500]	Loss: 0.0929	LR: 0.000800
Training Epoch: 37 [42496/47500]	Loss: 0.1047	LR: 0.000800
Training Epoch: 37 [42752/47500]	Loss: 0.0643	LR: 0.000800
Training Epoch: 37 [43008/47500]	Loss: 0.0902	LR: 0.000800
Training Epoch: 37 [43264/47500]	Loss: 0.1619	LR: 0.000800
Training Epoch: 37 [43520/47500]	Loss: 0.0939	LR: 0.000800
Training Epoch: 37 [43776/47500]	Loss: 0.0811	LR: 0.000800
Training Epoch: 37 [44032/47500]	Loss: 0.1424	LR: 0.000800
Training Epoch: 37 [44288/47500]	Loss: 0.1380	LR: 0.000800
Training Epoch: 37 [44544/47500]	Loss: 0.1086	LR: 0.000800
Training Epoch: 37 [44800/47500]	Loss: 0.1109	LR: 0.000800
Training Epoch: 37 [45056/47500]	Loss: 0.1432	LR: 0.000800
Training Epoch: 37 [45312/47500]	Loss: 0.1182	LR: 0.000800
Training Epoch: 37 [45568/47500]	Loss: 0.0919	LR: 0.000800
Training Epoch: 37 [45824/47500]	Loss: 0.1078	LR: 0.000800
Training Epoch: 37 [46080/47500]	Loss: 0.1258	LR: 0.000800
Training Epoch: 37 [46336/47500]	Loss: 0.1172	LR: 0.000800
Training Epoch: 37 [46592/47500]	Loss: 0.0960	LR: 0.000800
Training Epoch: 37 [46848/47500]	Loss: 0.1510	LR: 0.000800
Training Epoch: 37 [47104/47500]	Loss: 0.1295	LR: 0.000800
Training Epoch: 37 [47360/47500]	Loss: 0.1135	LR: 0.000800
Training Epoch: 37 [47500/47500]	Loss: 0.0958	LR: 0.000800
Epoch 37 - Average Train Loss: 0.1104, Train Accuracy: 0.9690
Epoch 37 training time consumed: 28.75s
Evaluating Network.....
Test set: Epoch: 37, Average loss: 0.0028, Accuracy: 0.8108, Time consumed:0.87s
Training Epoch: 38 [256/47500]	Loss: 0.1119	LR: 0.000800
Training Epoch: 38 [512/47500]	Loss: 0.1003	LR: 0.000800
Training Epoch: 38 [768/47500]	Loss: 0.1001	LR: 0.000800
Training Epoch: 38 [1024/47500]	Loss: 0.1083	LR: 0.000800
Training Epoch: 38 [1280/47500]	Loss: 0.1237	LR: 0.000800
Training Epoch: 38 [1536/47500]	Loss: 0.0970	LR: 0.000800
Training Epoch: 38 [1792/47500]	Loss: 0.0685	LR: 0.000800
Training Epoch: 38 [2048/47500]	Loss: 0.1012	LR: 0.000800
Training Epoch: 38 [2304/47500]	Loss: 0.1078	LR: 0.000800
Training Epoch: 38 [2560/47500]	Loss: 0.1253	LR: 0.000800
Training Epoch: 38 [2816/47500]	Loss: 0.1338	LR: 0.000800
Training Epoch: 38 [3072/47500]	Loss: 0.1110	LR: 0.000800
Training Epoch: 38 [3328/47500]	Loss: 0.1490	LR: 0.000800
Training Epoch: 38 [3584/47500]	Loss: 0.1457	LR: 0.000800
Training Epoch: 38 [3840/47500]	Loss: 0.1492	LR: 0.000800
Training Epoch: 38 [4096/47500]	Loss: 0.0950	LR: 0.000800
Training Epoch: 38 [4352/47500]	Loss: 0.1268	LR: 0.000800
Training Epoch: 38 [4608/47500]	Loss: 0.0966	LR: 0.000800
Training Epoch: 38 [4864/47500]	Loss: 0.1085	LR: 0.000800
Training Epoch: 38 [5120/47500]	Loss: 0.1233	LR: 0.000800
Training Epoch: 38 [5376/47500]	Loss: 0.1072	LR: 0.000800
Training Epoch: 38 [5632/47500]	Loss: 0.1088	LR: 0.000800
Training Epoch: 38 [5888/47500]	Loss: 0.0876	LR: 0.000800
Training Epoch: 38 [6144/47500]	Loss: 0.0935	LR: 0.000800
Training Epoch: 38 [6400/47500]	Loss: 0.1081	LR: 0.000800
Training Epoch: 38 [6656/47500]	Loss: 0.0744	LR: 0.000800
Training Epoch: 38 [6912/47500]	Loss: 0.0834	LR: 0.000800
Training Epoch: 38 [7168/47500]	Loss: 0.1149	LR: 0.000800
Training Epoch: 38 [7424/47500]	Loss: 0.1186	LR: 0.000800
Training Epoch: 38 [7680/47500]	Loss: 0.1112	LR: 0.000800
Training Epoch: 38 [7936/47500]	Loss: 0.1111	LR: 0.000800
Training Epoch: 38 [8192/47500]	Loss: 0.0956	LR: 0.000800
Training Epoch: 38 [8448/47500]	Loss: 0.1052	LR: 0.000800
Training Epoch: 38 [8704/47500]	Loss: 0.1099	LR: 0.000800
Training Epoch: 38 [8960/47500]	Loss: 0.1007	LR: 0.000800
Training Epoch: 38 [9216/47500]	Loss: 0.1330	LR: 0.000800
Training Epoch: 38 [9472/47500]	Loss: 0.1233	LR: 0.000800
Training Epoch: 38 [9728/47500]	Loss: 0.1439	LR: 0.000800
Training Epoch: 38 [9984/47500]	Loss: 0.1283	LR: 0.000800
Training Epoch: 38 [10240/47500]	Loss: 0.1138	LR: 0.000800
Training Epoch: 38 [10496/47500]	Loss: 0.0993	LR: 0.000800
Training Epoch: 38 [10752/47500]	Loss: 0.0765	LR: 0.000800
Training Epoch: 38 [11008/47500]	Loss: 0.1033	LR: 0.000800
Training Epoch: 38 [11264/47500]	Loss: 0.1581	LR: 0.000800
Training Epoch: 38 [11520/47500]	Loss: 0.1090	LR: 0.000800
Training Epoch: 38 [11776/47500]	Loss: 0.1183	LR: 0.000800
Training Epoch: 38 [12032/47500]	Loss: 0.0858	LR: 0.000800
Training Epoch: 38 [12288/47500]	Loss: 0.0922	LR: 0.000800
Training Epoch: 38 [12544/47500]	Loss: 0.1373	LR: 0.000800
Training Epoch: 38 [12800/47500]	Loss: 0.0830	LR: 0.000800
Training Epoch: 38 [13056/47500]	Loss: 0.1280	LR: 0.000800
Training Epoch: 38 [13312/47500]	Loss: 0.1102	LR: 0.000800
Training Epoch: 38 [13568/47500]	Loss: 0.1015	LR: 0.000800
Training Epoch: 38 [13824/47500]	Loss: 0.0610	LR: 0.000800
Training Epoch: 38 [14080/47500]	Loss: 0.1025	LR: 0.000800
Training Epoch: 38 [14336/47500]	Loss: 0.1209	LR: 0.000800
Training Epoch: 38 [14592/47500]	Loss: 0.1089	LR: 0.000800
Training Epoch: 38 [14848/47500]	Loss: 0.1463	LR: 0.000800
Training Epoch: 38 [15104/47500]	Loss: 0.1065	LR: 0.000800
Training Epoch: 38 [15360/47500]	Loss: 0.0985	LR: 0.000800
Training Epoch: 38 [15616/47500]	Loss: 0.1163	LR: 0.000800
Training Epoch: 38 [15872/47500]	Loss: 0.0895	LR: 0.000800
Training Epoch: 38 [16128/47500]	Loss: 0.1116	LR: 0.000800
Training Epoch: 38 [16384/47500]	Loss: 0.1251	LR: 0.000800
Training Epoch: 38 [16640/47500]	Loss: 0.0837	LR: 0.000800
Training Epoch: 38 [16896/47500]	Loss: 0.0895	LR: 0.000800
Training Epoch: 38 [17152/47500]	Loss: 0.0958	LR: 0.000800
Training Epoch: 38 [17408/47500]	Loss: 0.1309	LR: 0.000800
Training Epoch: 38 [17664/47500]	Loss: 0.0940	LR: 0.000800
Training Epoch: 38 [17920/47500]	Loss: 0.0972	LR: 0.000800
Training Epoch: 38 [18176/47500]	Loss: 0.0803	LR: 0.000800
Training Epoch: 38 [18432/47500]	Loss: 0.1003	LR: 0.000800
Training Epoch: 38 [18688/47500]	Loss: 0.0857	LR: 0.000800
Training Epoch: 38 [18944/47500]	Loss: 0.0990	LR: 0.000800
Training Epoch: 38 [19200/47500]	Loss: 0.1315	LR: 0.000800
Training Epoch: 38 [19456/47500]	Loss: 0.1041	LR: 0.000800
Training Epoch: 38 [19712/47500]	Loss: 0.1189	LR: 0.000800
Training Epoch: 38 [19968/47500]	Loss: 0.1029	LR: 0.000800
Training Epoch: 38 [20224/47500]	Loss: 0.0879	LR: 0.000800
Training Epoch: 38 [20480/47500]	Loss: 0.0715	LR: 0.000800
Training Epoch: 38 [20736/47500]	Loss: 0.1027	LR: 0.000800
Training Epoch: 38 [20992/47500]	Loss: 0.0693	LR: 0.000800
Training Epoch: 38 [21248/47500]	Loss: 0.0672	LR: 0.000800
Training Epoch: 38 [21504/47500]	Loss: 0.1086	LR: 0.000800
Training Epoch: 38 [21760/47500]	Loss: 0.1283	LR: 0.000800
Training Epoch: 38 [22016/47500]	Loss: 0.0849	LR: 0.000800
Training Epoch: 38 [22272/47500]	Loss: 0.1213	LR: 0.000800
Training Epoch: 38 [22528/47500]	Loss: 0.1933	LR: 0.000800
Training Epoch: 38 [22784/47500]	Loss: 0.1011	LR: 0.000800
Training Epoch: 38 [23040/47500]	Loss: 0.0815	LR: 0.000800
Training Epoch: 38 [23296/47500]	Loss: 0.1078	LR: 0.000800
Training Epoch: 38 [23552/47500]	Loss: 0.0707	LR: 0.000800
Training Epoch: 38 [23808/47500]	Loss: 0.0799	LR: 0.000800
Training Epoch: 38 [24064/47500]	Loss: 0.1208	LR: 0.000800
Training Epoch: 38 [24320/47500]	Loss: 0.0706	LR: 0.000800
Training Epoch: 38 [24576/47500]	Loss: 0.1716	LR: 0.000800
Training Epoch: 38 [24832/47500]	Loss: 0.1127	LR: 0.000800
Training Epoch: 38 [25088/47500]	Loss: 0.1328	LR: 0.000800
Training Epoch: 38 [25344/47500]	Loss: 0.0694	LR: 0.000800
Training Epoch: 38 [25600/47500]	Loss: 0.0985	LR: 0.000800
Training Epoch: 38 [25856/47500]	Loss: 0.1022	LR: 0.000800
Training Epoch: 38 [26112/47500]	Loss: 0.1407	LR: 0.000800
Training Epoch: 38 [26368/47500]	Loss: 0.1455	LR: 0.000800
Training Epoch: 38 [26624/47500]	Loss: 0.0852	LR: 0.000800
Training Epoch: 38 [26880/47500]	Loss: 0.1365	LR: 0.000800
Training Epoch: 38 [27136/47500]	Loss: 0.1356	LR: 0.000800
Training Epoch: 38 [27392/47500]	Loss: 0.0866	LR: 0.000800
Training Epoch: 38 [27648/47500]	Loss: 0.1412	LR: 0.000800
Training Epoch: 38 [27904/47500]	Loss: 0.1700	LR: 0.000800
Training Epoch: 38 [28160/47500]	Loss: 0.0911	LR: 0.000800
Training Epoch: 38 [28416/47500]	Loss: 0.0851	LR: 0.000800
Training Epoch: 38 [28672/47500]	Loss: 0.0984	LR: 0.000800
Training Epoch: 38 [28928/47500]	Loss: 0.1313	LR: 0.000800
Training Epoch: 38 [29184/47500]	Loss: 0.1215	LR: 0.000800
Training Epoch: 38 [29440/47500]	Loss: 0.1344	LR: 0.000800
Training Epoch: 38 [29696/47500]	Loss: 0.0784	LR: 0.000800
Training Epoch: 38 [29952/47500]	Loss: 0.1078	LR: 0.000800
Training Epoch: 38 [30208/47500]	Loss: 0.0696	LR: 0.000800
Training Epoch: 38 [30464/47500]	Loss: 0.0988	LR: 0.000800
Training Epoch: 38 [30720/47500]	Loss: 0.1348	LR: 0.000800
Training Epoch: 38 [30976/47500]	Loss: 0.0918	LR: 0.000800
Training Epoch: 38 [31232/47500]	Loss: 0.1236	LR: 0.000800
Training Epoch: 38 [31488/47500]	Loss: 0.1103	LR: 0.000800
Training Epoch: 38 [31744/47500]	Loss: 0.0859	LR: 0.000800
Training Epoch: 38 [32000/47500]	Loss: 0.0916	LR: 0.000800
Training Epoch: 38 [32256/47500]	Loss: 0.0739	LR: 0.000800
Training Epoch: 38 [32512/47500]	Loss: 0.0755	LR: 0.000800
Training Epoch: 38 [32768/47500]	Loss: 0.1307	LR: 0.000800
Training Epoch: 38 [33024/47500]	Loss: 0.1031	LR: 0.000800
Training Epoch: 38 [33280/47500]	Loss: 0.0996	LR: 0.000800
Training Epoch: 38 [33536/47500]	Loss: 0.1162	LR: 0.000800
Training Epoch: 38 [33792/47500]	Loss: 0.1100	LR: 0.000800
Training Epoch: 38 [34048/47500]	Loss: 0.1346	LR: 0.000800
Training Epoch: 38 [34304/47500]	Loss: 0.1056	LR: 0.000800
Training Epoch: 38 [34560/47500]	Loss: 0.1364	LR: 0.000800
Training Epoch: 38 [34816/47500]	Loss: 0.1305	LR: 0.000800
Training Epoch: 38 [35072/47500]	Loss: 0.1031	LR: 0.000800
Training Epoch: 38 [35328/47500]	Loss: 0.1271	LR: 0.000800
Training Epoch: 38 [35584/47500]	Loss: 0.1391	LR: 0.000800
Training Epoch: 38 [35840/47500]	Loss: 0.1278	LR: 0.000800
Training Epoch: 38 [36096/47500]	Loss: 0.1218	LR: 0.000800
Training Epoch: 38 [36352/47500]	Loss: 0.1190	LR: 0.000800
Training Epoch: 38 [36608/47500]	Loss: 0.0987	LR: 0.000800
Training Epoch: 38 [36864/47500]	Loss: 0.1164	LR: 0.000800
Training Epoch: 38 [37120/47500]	Loss: 0.1147	LR: 0.000800
Training Epoch: 38 [37376/47500]	Loss: 0.1129	LR: 0.000800
Training Epoch: 38 [37632/47500]	Loss: 0.1256	LR: 0.000800
Training Epoch: 38 [37888/47500]	Loss: 0.0746	LR: 0.000800
Training Epoch: 38 [38144/47500]	Loss: 0.1009	LR: 0.000800
Training Epoch: 38 [38400/47500]	Loss: 0.1201	LR: 0.000800
Training Epoch: 38 [38656/47500]	Loss: 0.0776	LR: 0.000800
Training Epoch: 38 [38912/47500]	Loss: 0.1110	LR: 0.000800
Training Epoch: 38 [39168/47500]	Loss: 0.0843	LR: 0.000800
Training Epoch: 38 [39424/47500]	Loss: 0.1043	LR: 0.000800
Training Epoch: 38 [39680/47500]	Loss: 0.1239	LR: 0.000800
Training Epoch: 38 [39936/47500]	Loss: 0.0828	LR: 0.000800
Training Epoch: 38 [40192/47500]	Loss: 0.1008	LR: 0.000800
Training Epoch: 38 [40448/47500]	Loss: 0.1369	LR: 0.000800
Training Epoch: 38 [40704/47500]	Loss: 0.0772	LR: 0.000800
Training Epoch: 38 [40960/47500]	Loss: 0.1126	LR: 0.000800
Training Epoch: 38 [41216/47500]	Loss: 0.1047	LR: 0.000800
Training Epoch: 38 [41472/47500]	Loss: 0.0923	LR: 0.000800
Training Epoch: 38 [41728/47500]	Loss: 0.0982	LR: 0.000800
Training Epoch: 38 [41984/47500]	Loss: 0.1165	LR: 0.000800
Training Epoch: 38 [42240/47500]	Loss: 0.0760	LR: 0.000800
Training Epoch: 38 [42496/47500]	Loss: 0.0631	LR: 0.000800
Training Epoch: 38 [42752/47500]	Loss: 0.1541	LR: 0.000800
Training Epoch: 38 [43008/47500]	Loss: 0.1396	LR: 0.000800
Training Epoch: 38 [43264/47500]	Loss: 0.0692	LR: 0.000800
Training Epoch: 38 [43520/47500]	Loss: 0.1182	LR: 0.000800
Training Epoch: 38 [43776/47500]	Loss: 0.1380	LR: 0.000800
Training Epoch: 38 [44032/47500]	Loss: 0.1557	LR: 0.000800
Training Epoch: 38 [44288/47500]	Loss: 0.1015	LR: 0.000800
Training Epoch: 38 [44544/47500]	Loss: 0.0969	LR: 0.000800
Training Epoch: 38 [44800/47500]	Loss: 0.0873	LR: 0.000800
Training Epoch: 38 [45056/47500]	Loss: 0.1103	LR: 0.000800
Training Epoch: 38 [45312/47500]	Loss: 0.0962	LR: 0.000800
Training Epoch: 38 [45568/47500]	Loss: 0.0972	LR: 0.000800
Training Epoch: 38 [45824/47500]	Loss: 0.1427	LR: 0.000800
Training Epoch: 38 [46080/47500]	Loss: 0.1085	LR: 0.000800
Training Epoch: 38 [46336/47500]	Loss: 0.1138	LR: 0.000800
Training Epoch: 38 [46592/47500]	Loss: 0.1113	LR: 0.000800
Training Epoch: 38 [46848/47500]	Loss: 0.1323	LR: 0.000800
Training Epoch: 38 [47104/47500]	Loss: 0.1370	LR: 0.000800
Training Epoch: 38 [47360/47500]	Loss: 0.1155	LR: 0.000800
Training Epoch: 38 [47500/47500]	Loss: 0.1707	LR: 0.000800
Epoch 38 - Average Train Loss: 0.1089, Train Accuracy: 0.9693
Epoch 38 training time consumed: 28.36s
Evaluating Network.....
Test set: Epoch: 38, Average loss: 0.0028, Accuracy: 0.8106, Time consumed:0.92s
Training Epoch: 39 [256/47500]	Loss: 0.0850	LR: 0.000800
Training Epoch: 39 [512/47500]	Loss: 0.0853	LR: 0.000800
Training Epoch: 39 [768/47500]	Loss: 0.1088	LR: 0.000800
Training Epoch: 39 [1024/47500]	Loss: 0.0953	LR: 0.000800
Training Epoch: 39 [1280/47500]	Loss: 0.1056	LR: 0.000800
Training Epoch: 39 [1536/47500]	Loss: 0.0775	LR: 0.000800
Training Epoch: 39 [1792/47500]	Loss: 0.0896	LR: 0.000800
Training Epoch: 39 [2048/47500]	Loss: 0.0882	LR: 0.000800
Training Epoch: 39 [2304/47500]	Loss: 0.0953	LR: 0.000800
Training Epoch: 39 [2560/47500]	Loss: 0.1204	LR: 0.000800
Training Epoch: 39 [2816/47500]	Loss: 0.1765	LR: 0.000800
Training Epoch: 39 [3072/47500]	Loss: 0.1237	LR: 0.000800
Training Epoch: 39 [3328/47500]	Loss: 0.0730	LR: 0.000800
Training Epoch: 39 [3584/47500]	Loss: 0.1302	LR: 0.000800
Training Epoch: 39 [3840/47500]	Loss: 0.1117	LR: 0.000800
Training Epoch: 39 [4096/47500]	Loss: 0.0947	LR: 0.000800
Training Epoch: 39 [4352/47500]	Loss: 0.1311	LR: 0.000800
Training Epoch: 39 [4608/47500]	Loss: 0.0803	LR: 0.000800
Training Epoch: 39 [4864/47500]	Loss: 0.0610	LR: 0.000800
Training Epoch: 39 [5120/47500]	Loss: 0.0821	LR: 0.000800
Training Epoch: 39 [5376/47500]	Loss: 0.0988	LR: 0.000800
Training Epoch: 39 [5632/47500]	Loss: 0.0818	LR: 0.000800
Training Epoch: 39 [5888/47500]	Loss: 0.0819	LR: 0.000800
Training Epoch: 39 [6144/47500]	Loss: 0.0851	LR: 0.000800
Training Epoch: 39 [6400/47500]	Loss: 0.0798	LR: 0.000800
Training Epoch: 39 [6656/47500]	Loss: 0.1127	LR: 0.000800
Training Epoch: 39 [6912/47500]	Loss: 0.1151	LR: 0.000800
Training Epoch: 39 [7168/47500]	Loss: 0.0923	LR: 0.000800
Training Epoch: 39 [7424/47500]	Loss: 0.1012	LR: 0.000800
Training Epoch: 39 [7680/47500]	Loss: 0.1180	LR: 0.000800
Training Epoch: 39 [7936/47500]	Loss: 0.1363	LR: 0.000800
Training Epoch: 39 [8192/47500]	Loss: 0.1285	LR: 0.000800
Training Epoch: 39 [8448/47500]	Loss: 0.0908	LR: 0.000800
Training Epoch: 39 [8704/47500]	Loss: 0.0873	LR: 0.000800
Training Epoch: 39 [8960/47500]	Loss: 0.0959	LR: 0.000800
Training Epoch: 39 [9216/47500]	Loss: 0.1229	LR: 0.000800
Training Epoch: 39 [9472/47500]	Loss: 0.0820	LR: 0.000800
Training Epoch: 39 [9728/47500]	Loss: 0.0910	LR: 0.000800
Training Epoch: 39 [9984/47500]	Loss: 0.1532	LR: 0.000800
Training Epoch: 39 [10240/47500]	Loss: 0.1127	LR: 0.000800
Training Epoch: 39 [10496/47500]	Loss: 0.1006	LR: 0.000800
Training Epoch: 39 [10752/47500]	Loss: 0.1215	LR: 0.000800
Training Epoch: 39 [11008/47500]	Loss: 0.1039	LR: 0.000800
Training Epoch: 39 [11264/47500]	Loss: 0.1529	LR: 0.000800
Training Epoch: 39 [11520/47500]	Loss: 0.1152	LR: 0.000800
Training Epoch: 39 [11776/47500]	Loss: 0.0994	LR: 0.000800
Training Epoch: 39 [12032/47500]	Loss: 0.1563	LR: 0.000800
Training Epoch: 39 [12288/47500]	Loss: 0.0715	LR: 0.000800
Training Epoch: 39 [12544/47500]	Loss: 0.0784	LR: 0.000800
Training Epoch: 39 [12800/47500]	Loss: 0.1588	LR: 0.000800
Training Epoch: 39 [13056/47500]	Loss: 0.1341	LR: 0.000800
Training Epoch: 39 [13312/47500]	Loss: 0.1040	LR: 0.000800
Training Epoch: 39 [13568/47500]	Loss: 0.1158	LR: 0.000800
Training Epoch: 39 [13824/47500]	Loss: 0.1008	LR: 0.000800
Training Epoch: 39 [14080/47500]	Loss: 0.1012	LR: 0.000800
Training Epoch: 39 [14336/47500]	Loss: 0.0968	LR: 0.000800
Training Epoch: 39 [14592/47500]	Loss: 0.1099	LR: 0.000800
Training Epoch: 39 [14848/47500]	Loss: 0.0883	LR: 0.000800
Training Epoch: 39 [15104/47500]	Loss: 0.1155	LR: 0.000800
Training Epoch: 39 [15360/47500]	Loss: 0.1036	LR: 0.000800
Training Epoch: 39 [15616/47500]	Loss: 0.1135	LR: 0.000800
Training Epoch: 39 [15872/47500]	Loss: 0.0988	LR: 0.000800
Training Epoch: 39 [16128/47500]	Loss: 0.1519	LR: 0.000800
Training Epoch: 39 [16384/47500]	Loss: 0.1200	LR: 0.000800
Training Epoch: 39 [16640/47500]	Loss: 0.1171	LR: 0.000800
Training Epoch: 39 [16896/47500]	Loss: 0.0657	LR: 0.000800
Training Epoch: 39 [17152/47500]	Loss: 0.0932	LR: 0.000800
Training Epoch: 39 [17408/47500]	Loss: 0.1246	LR: 0.000800
Training Epoch: 39 [17664/47500]	Loss: 0.1310	LR: 0.000800
Training Epoch: 39 [17920/47500]	Loss: 0.1259	LR: 0.000800
Training Epoch: 39 [18176/47500]	Loss: 0.0975	LR: 0.000800
Training Epoch: 39 [18432/47500]	Loss: 0.0639	LR: 0.000800
Training Epoch: 39 [18688/47500]	Loss: 0.1141	LR: 0.000800
Training Epoch: 39 [18944/47500]	Loss: 0.1311	LR: 0.000800
Training Epoch: 39 [19200/47500]	Loss: 0.0968	LR: 0.000800
Training Epoch: 39 [19456/47500]	Loss: 0.0634	LR: 0.000800
Training Epoch: 39 [19712/47500]	Loss: 0.0945	LR: 0.000800
Training Epoch: 39 [19968/47500]	Loss: 0.1092	LR: 0.000800
Training Epoch: 39 [20224/47500]	Loss: 0.1554	LR: 0.000800
Training Epoch: 39 [20480/47500]	Loss: 0.1045	LR: 0.000800
Training Epoch: 39 [20736/47500]	Loss: 0.1070	LR: 0.000800
Training Epoch: 39 [20992/47500]	Loss: 0.0859	LR: 0.000800
Training Epoch: 39 [21248/47500]	Loss: 0.1201	LR: 0.000800
Training Epoch: 39 [21504/47500]	Loss: 0.0860	LR: 0.000800
Training Epoch: 39 [21760/47500]	Loss: 0.1228	LR: 0.000800
Training Epoch: 39 [22016/47500]	Loss: 0.0604	LR: 0.000800
Training Epoch: 39 [22272/47500]	Loss: 0.0790	LR: 0.000800
Training Epoch: 39 [22528/47500]	Loss: 0.1019	LR: 0.000800
Training Epoch: 39 [22784/47500]	Loss: 0.0980	LR: 0.000800
Training Epoch: 39 [23040/47500]	Loss: 0.0864	LR: 0.000800
Training Epoch: 39 [23296/47500]	Loss: 0.1333	LR: 0.000800
Training Epoch: 39 [23552/47500]	Loss: 0.0737	LR: 0.000800
Training Epoch: 39 [23808/47500]	Loss: 0.1253	LR: 0.000800
Training Epoch: 39 [24064/47500]	Loss: 0.0756	LR: 0.000800
Training Epoch: 39 [24320/47500]	Loss: 0.1403	LR: 0.000800
Training Epoch: 39 [24576/47500]	Loss: 0.1301	LR: 0.000800
Training Epoch: 39 [24832/47500]	Loss: 0.0863	LR: 0.000800
Training Epoch: 39 [25088/47500]	Loss: 0.1453	LR: 0.000800
Training Epoch: 39 [25344/47500]	Loss: 0.1293	LR: 0.000800
Training Epoch: 39 [25600/47500]	Loss: 0.1118	LR: 0.000800
Training Epoch: 39 [25856/47500]	Loss: 0.0637	LR: 0.000800
Training Epoch: 39 [26112/47500]	Loss: 0.0826	LR: 0.000800
Training Epoch: 39 [26368/47500]	Loss: 0.1136	LR: 0.000800
Training Epoch: 39 [26624/47500]	Loss: 0.1094	LR: 0.000800
Training Epoch: 39 [26880/47500]	Loss: 0.1701	LR: 0.000800
Training Epoch: 39 [27136/47500]	Loss: 0.0796	LR: 0.000800
Training Epoch: 39 [27392/47500]	Loss: 0.1413	LR: 0.000800
Training Epoch: 39 [27648/47500]	Loss: 0.1265	LR: 0.000800
Training Epoch: 39 [27904/47500]	Loss: 0.1487	LR: 0.000800
Training Epoch: 39 [28160/47500]	Loss: 0.0771	LR: 0.000800
Training Epoch: 39 [28416/47500]	Loss: 0.0762	LR: 0.000800
Training Epoch: 39 [28672/47500]	Loss: 0.1396	LR: 0.000800
Training Epoch: 39 [28928/47500]	Loss: 0.1222	LR: 0.000800
Training Epoch: 39 [29184/47500]	Loss: 0.1018	LR: 0.000800
Training Epoch: 39 [29440/47500]	Loss: 0.1223	LR: 0.000800
Training Epoch: 39 [29696/47500]	Loss: 0.1100	LR: 0.000800
Training Epoch: 39 [29952/47500]	Loss: 0.0937	LR: 0.000800
Training Epoch: 39 [30208/47500]	Loss: 0.1071	LR: 0.000800
Training Epoch: 39 [30464/47500]	Loss: 0.1431	LR: 0.000800
Training Epoch: 39 [30720/47500]	Loss: 0.0845	LR: 0.000800
Training Epoch: 39 [30976/47500]	Loss: 0.1194	LR: 0.000800
Training Epoch: 39 [31232/47500]	Loss: 0.0860	LR: 0.000800
Training Epoch: 39 [31488/47500]	Loss: 0.1398	LR: 0.000800
Training Epoch: 39 [31744/47500]	Loss: 0.1022	LR: 0.000800
Training Epoch: 39 [32000/47500]	Loss: 0.1328	LR: 0.000800
Training Epoch: 39 [32256/47500]	Loss: 0.1368	LR: 0.000800
Training Epoch: 39 [32512/47500]	Loss: 0.1231	LR: 0.000800
Training Epoch: 39 [32768/47500]	Loss: 0.0742	LR: 0.000800
Training Epoch: 39 [33024/47500]	Loss: 0.1142	LR: 0.000800
Training Epoch: 39 [33280/47500]	Loss: 0.1150	LR: 0.000800
Training Epoch: 39 [33536/47500]	Loss: 0.0887	LR: 0.000800
Training Epoch: 39 [33792/47500]	Loss: 0.1439	LR: 0.000800
Training Epoch: 39 [34048/47500]	Loss: 0.0788	LR: 0.000800
Training Epoch: 39 [34304/47500]	Loss: 0.0897	LR: 0.000800
Training Epoch: 39 [34560/47500]	Loss: 0.0828	LR: 0.000800
Training Epoch: 39 [34816/47500]	Loss: 0.1105	LR: 0.000800
Training Epoch: 39 [35072/47500]	Loss: 0.0977	LR: 0.000800
Training Epoch: 39 [35328/47500]	Loss: 0.1130	LR: 0.000800
Training Epoch: 39 [35584/47500]	Loss: 0.1014	LR: 0.000800
Training Epoch: 39 [35840/47500]	Loss: 0.1396	LR: 0.000800
Training Epoch: 39 [36096/47500]	Loss: 0.1456	LR: 0.000800
Training Epoch: 39 [36352/47500]	Loss: 0.1149	LR: 0.000800
Training Epoch: 39 [36608/47500]	Loss: 0.0806	LR: 0.000800
Training Epoch: 39 [36864/47500]	Loss: 0.0871	LR: 0.000800
Training Epoch: 39 [37120/47500]	Loss: 0.1052	LR: 0.000800
Training Epoch: 39 [37376/47500]	Loss: 0.1043	LR: 0.000800
Training Epoch: 39 [37632/47500]	Loss: 0.0954	LR: 0.000800
Training Epoch: 39 [37888/47500]	Loss: 0.0929	LR: 0.000800
Training Epoch: 39 [38144/47500]	Loss: 0.1104	LR: 0.000800
Training Epoch: 39 [38400/47500]	Loss: 0.1024	LR: 0.000800
Training Epoch: 39 [38656/47500]	Loss: 0.1077	LR: 0.000800
Training Epoch: 39 [38912/47500]	Loss: 0.1109	LR: 0.000800
Training Epoch: 39 [39168/47500]	Loss: 0.1159	LR: 0.000800
Training Epoch: 39 [39424/47500]	Loss: 0.1579	LR: 0.000800
Training Epoch: 39 [39680/47500]	Loss: 0.1259	LR: 0.000800
Training Epoch: 39 [39936/47500]	Loss: 0.1421	LR: 0.000800
Training Epoch: 39 [40192/47500]	Loss: 0.1200	LR: 0.000800
Training Epoch: 39 [40448/47500]	Loss: 0.0917	LR: 0.000800
Training Epoch: 39 [40704/47500]	Loss: 0.0936	LR: 0.000800
Training Epoch: 39 [40960/47500]	Loss: 0.1139	LR: 0.000800
Training Epoch: 39 [41216/47500]	Loss: 0.1067	LR: 0.000800
Training Epoch: 39 [41472/47500]	Loss: 0.0927	LR: 0.000800
Training Epoch: 39 [41728/47500]	Loss: 0.0959	LR: 0.000800
Training Epoch: 39 [41984/47500]	Loss: 0.1412	LR: 0.000800
Training Epoch: 39 [42240/47500]	Loss: 0.0937	LR: 0.000800
Training Epoch: 39 [42496/47500]	Loss: 0.0792	LR: 0.000800
Training Epoch: 39 [42752/47500]	Loss: 0.0813	LR: 0.000800
Training Epoch: 39 [43008/47500]	Loss: 0.1081	LR: 0.000800
Training Epoch: 39 [43264/47500]	Loss: 0.0911	LR: 0.000800
Training Epoch: 39 [43520/47500]	Loss: 0.0711	LR: 0.000800
Training Epoch: 39 [43776/47500]	Loss: 0.0750	LR: 0.000800
Training Epoch: 39 [44032/47500]	Loss: 0.1096	LR: 0.000800
Training Epoch: 39 [44288/47500]	Loss: 0.1624	LR: 0.000800
Training Epoch: 39 [44544/47500]	Loss: 0.1185	LR: 0.000800
Training Epoch: 39 [44800/47500]	Loss: 0.1085	LR: 0.000800
Training Epoch: 39 [45056/47500]	Loss: 0.1532	LR: 0.000800
Training Epoch: 39 [45312/47500]	Loss: 0.0822	LR: 0.000800
Training Epoch: 39 [45568/47500]	Loss: 0.0846	LR: 0.000800
Training Epoch: 39 [45824/47500]	Loss: 0.0920	LR: 0.000800
Training Epoch: 39 [46080/47500]	Loss: 0.0889	LR: 0.000800
Training Epoch: 39 [46336/47500]	Loss: 0.0698	LR: 0.000800
Training Epoch: 39 [46592/47500]	Loss: 0.1069	LR: 0.000800
Training Epoch: 39 [46848/47500]	Loss: 0.1140	LR: 0.000800
Training Epoch: 39 [47104/47500]	Loss: 0.1266	LR: 0.000800
Training Epoch: 39 [47360/47500]	Loss: 0.0931	LR: 0.000800
Training Epoch: 39 [47500/47500]	Loss: 0.1331	LR: 0.000800
Epoch 39 - Average Train Loss: 0.1068, Train Accuracy: 0.9698
Epoch 39 training time consumed: 28.36s
Evaluating Network.....
Test set: Epoch: 39, Average loss: 0.0028, Accuracy: 0.8101, Time consumed:0.89s
Training Epoch: 40 [256/47500]	Loss: 0.0853	LR: 0.000800
Training Epoch: 40 [512/47500]	Loss: 0.0919	LR: 0.000800
Training Epoch: 40 [768/47500]	Loss: 0.0965	LR: 0.000800
Training Epoch: 40 [1024/47500]	Loss: 0.1174	LR: 0.000800
Training Epoch: 40 [1280/47500]	Loss: 0.1212	LR: 0.000800
Training Epoch: 40 [1536/47500]	Loss: 0.0854	LR: 0.000800
Training Epoch: 40 [1792/47500]	Loss: 0.1220	LR: 0.000800
Training Epoch: 40 [2048/47500]	Loss: 0.1212	LR: 0.000800
Training Epoch: 40 [2304/47500]	Loss: 0.1012	LR: 0.000800
Training Epoch: 40 [2560/47500]	Loss: 0.0759	LR: 0.000800
Training Epoch: 40 [2816/47500]	Loss: 0.1049	LR: 0.000800
Training Epoch: 40 [3072/47500]	Loss: 0.0937	LR: 0.000800
Training Epoch: 40 [3328/47500]	Loss: 0.0968	LR: 0.000800
Training Epoch: 40 [3584/47500]	Loss: 0.1228	LR: 0.000800
Training Epoch: 40 [3840/47500]	Loss: 0.1195	LR: 0.000800
Training Epoch: 40 [4096/47500]	Loss: 0.0990	LR: 0.000800
Training Epoch: 40 [4352/47500]	Loss: 0.0902	LR: 0.000800
Training Epoch: 40 [4608/47500]	Loss: 0.0643	LR: 0.000800
Training Epoch: 40 [4864/47500]	Loss: 0.1399	LR: 0.000800
Training Epoch: 40 [5120/47500]	Loss: 0.1288	LR: 0.000800
Training Epoch: 40 [5376/47500]	Loss: 0.1236	LR: 0.000800
Training Epoch: 40 [5632/47500]	Loss: 0.1137	LR: 0.000800
Training Epoch: 40 [5888/47500]	Loss: 0.0942	LR: 0.000800
Training Epoch: 40 [6144/47500]	Loss: 0.0819	LR: 0.000800
Training Epoch: 40 [6400/47500]	Loss: 0.1016	LR: 0.000800
Training Epoch: 40 [6656/47500]	Loss: 0.0804	LR: 0.000800
Training Epoch: 40 [6912/47500]	Loss: 0.0550	LR: 0.000800
Training Epoch: 40 [7168/47500]	Loss: 0.0985	LR: 0.000800
Training Epoch: 40 [7424/47500]	Loss: 0.0958	LR: 0.000800
Training Epoch: 40 [7680/47500]	Loss: 0.0904	LR: 0.000800
Training Epoch: 40 [7936/47500]	Loss: 0.0932	LR: 0.000800
Training Epoch: 40 [8192/47500]	Loss: 0.0922	LR: 0.000800
Training Epoch: 40 [8448/47500]	Loss: 0.0795	LR: 0.000800
Training Epoch: 40 [8704/47500]	Loss: 0.0942	LR: 0.000800
Training Epoch: 40 [8960/47500]	Loss: 0.1315	LR: 0.000800
Training Epoch: 40 [9216/47500]	Loss: 0.1324	LR: 0.000800
Training Epoch: 40 [9472/47500]	Loss: 0.1153	LR: 0.000800
Training Epoch: 40 [9728/47500]	Loss: 0.1027	LR: 0.000800
Training Epoch: 40 [9984/47500]	Loss: 0.0752	LR: 0.000800
Training Epoch: 40 [10240/47500]	Loss: 0.1020	LR: 0.000800
Training Epoch: 40 [10496/47500]	Loss: 0.1279	LR: 0.000800
Training Epoch: 40 [10752/47500]	Loss: 0.0925	LR: 0.000800
Training Epoch: 40 [11008/47500]	Loss: 0.0782	LR: 0.000800
Training Epoch: 40 [11264/47500]	Loss: 0.0866	LR: 0.000800
Training Epoch: 40 [11520/47500]	Loss: 0.0757	LR: 0.000800
Training Epoch: 40 [11776/47500]	Loss: 0.0956	LR: 0.000800
Training Epoch: 40 [12032/47500]	Loss: 0.1065	LR: 0.000800
Training Epoch: 40 [12288/47500]	Loss: 0.1219	LR: 0.000800
Training Epoch: 40 [12544/47500]	Loss: 0.0891	LR: 0.000800
Training Epoch: 40 [12800/47500]	Loss: 0.0741	LR: 0.000800
Training Epoch: 40 [13056/47500]	Loss: 0.0812	LR: 0.000800
Training Epoch: 40 [13312/47500]	Loss: 0.1006	LR: 0.000800
Training Epoch: 40 [13568/47500]	Loss: 0.1341	LR: 0.000800
Training Epoch: 40 [13824/47500]	Loss: 0.0985	LR: 0.000800
Training Epoch: 40 [14080/47500]	Loss: 0.0850	LR: 0.000800
Training Epoch: 40 [14336/47500]	Loss: 0.0903	LR: 0.000800
Training Epoch: 40 [14592/47500]	Loss: 0.1158	LR: 0.000800
Training Epoch: 40 [14848/47500]	Loss: 0.1051	LR: 0.000800
Training Epoch: 40 [15104/47500]	Loss: 0.1031	LR: 0.000800
Training Epoch: 40 [15360/47500]	Loss: 0.0896	LR: 0.000800
Training Epoch: 40 [15616/47500]	Loss: 0.0826	LR: 0.000800
Training Epoch: 40 [15872/47500]	Loss: 0.1455	LR: 0.000800
Training Epoch: 40 [16128/47500]	Loss: 0.1105	LR: 0.000800
Training Epoch: 40 [16384/47500]	Loss: 0.0790	LR: 0.000800
Training Epoch: 40 [16640/47500]	Loss: 0.0744	LR: 0.000800
Training Epoch: 40 [16896/47500]	Loss: 0.1198	LR: 0.000800
Training Epoch: 40 [17152/47500]	Loss: 0.0675	LR: 0.000800
Training Epoch: 40 [17408/47500]	Loss: 0.1431	LR: 0.000800
Training Epoch: 40 [17664/47500]	Loss: 0.0976	LR: 0.000800
Training Epoch: 40 [17920/47500]	Loss: 0.0889	LR: 0.000800
Training Epoch: 40 [18176/47500]	Loss: 0.1239	LR: 0.000800
Training Epoch: 40 [18432/47500]	Loss: 0.0767	LR: 0.000800
Training Epoch: 40 [18688/47500]	Loss: 0.1224	LR: 0.000800
Training Epoch: 40 [18944/47500]	Loss: 0.0969	LR: 0.000800
Training Epoch: 40 [19200/47500]	Loss: 0.0735	LR: 0.000800
Training Epoch: 40 [19456/47500]	Loss: 0.1292	LR: 0.000800
Training Epoch: 40 [19712/47500]	Loss: 0.0672	LR: 0.000800
Training Epoch: 40 [19968/47500]	Loss: 0.0982	LR: 0.000800
Training Epoch: 40 [20224/47500]	Loss: 0.1111	LR: 0.000800
Training Epoch: 40 [20480/47500]	Loss: 0.0897	LR: 0.000800
Training Epoch: 40 [20736/47500]	Loss: 0.0914	LR: 0.000800
Training Epoch: 40 [20992/47500]	Loss: 0.1151	LR: 0.000800
Training Epoch: 40 [21248/47500]	Loss: 0.1220	LR: 0.000800
Training Epoch: 40 [21504/47500]	Loss: 0.1082	LR: 0.000800
Training Epoch: 40 [21760/47500]	Loss: 0.1078	LR: 0.000800
Training Epoch: 40 [22016/47500]	Loss: 0.1088	LR: 0.000800
Training Epoch: 40 [22272/47500]	Loss: 0.1170	LR: 0.000800
Training Epoch: 40 [22528/47500]	Loss: 0.1282	LR: 0.000800
Training Epoch: 40 [22784/47500]	Loss: 0.0880	LR: 0.000800
Training Epoch: 40 [23040/47500]	Loss: 0.1379	LR: 0.000800
Training Epoch: 40 [23296/47500]	Loss: 0.0805	LR: 0.000800
Training Epoch: 40 [23552/47500]	Loss: 0.0929	LR: 0.000800
Training Epoch: 40 [23808/47500]	Loss: 0.1024	LR: 0.000800
Training Epoch: 40 [24064/47500]	Loss: 0.0860	LR: 0.000800
Training Epoch: 40 [24320/47500]	Loss: 0.0549	LR: 0.000800
Training Epoch: 40 [24576/47500]	Loss: 0.1210	LR: 0.000800
Training Epoch: 40 [24832/47500]	Loss: 0.1621	LR: 0.000800
Training Epoch: 40 [25088/47500]	Loss: 0.1595	LR: 0.000800
Training Epoch: 40 [25344/47500]	Loss: 0.1383	LR: 0.000800
Training Epoch: 40 [25600/47500]	Loss: 0.0980	LR: 0.000800
Training Epoch: 40 [25856/47500]	Loss: 0.0686	LR: 0.000800
Training Epoch: 40 [26112/47500]	Loss: 0.1062	LR: 0.000800
Training Epoch: 40 [26368/47500]	Loss: 0.1417	LR: 0.000800
Training Epoch: 40 [26624/47500]	Loss: 0.0875	LR: 0.000800
Training Epoch: 40 [26880/47500]	Loss: 0.0874	LR: 0.000800
Training Epoch: 40 [27136/47500]	Loss: 0.1038	LR: 0.000800
Training Epoch: 40 [27392/47500]	Loss: 0.1287	LR: 0.000800
Training Epoch: 40 [27648/47500]	Loss: 0.1148	LR: 0.000800
Training Epoch: 40 [27904/47500]	Loss: 0.1345	LR: 0.000800
Training Epoch: 40 [28160/47500]	Loss: 0.0867	LR: 0.000800
Training Epoch: 40 [28416/47500]	Loss: 0.1075	LR: 0.000800
Training Epoch: 40 [28672/47500]	Loss: 0.0736	LR: 0.000800
Training Epoch: 40 [28928/47500]	Loss: 0.0735	LR: 0.000800
Training Epoch: 40 [29184/47500]	Loss: 0.1052	LR: 0.000800
Training Epoch: 40 [29440/47500]	Loss: 0.1218	LR: 0.000800
Training Epoch: 40 [29696/47500]	Loss: 0.1485	LR: 0.000800
Training Epoch: 40 [29952/47500]	Loss: 0.1134	LR: 0.000800
Training Epoch: 40 [30208/47500]	Loss: 0.0870	LR: 0.000800
Training Epoch: 40 [30464/47500]	Loss: 0.1048	LR: 0.000800
Training Epoch: 40 [30720/47500]	Loss: 0.1056	LR: 0.000800
Training Epoch: 40 [30976/47500]	Loss: 0.0920	LR: 0.000800
Training Epoch: 40 [31232/47500]	Loss: 0.1066	LR: 0.000800
Training Epoch: 40 [31488/47500]	Loss: 0.1032	LR: 0.000800
Training Epoch: 40 [31744/47500]	Loss: 0.1007	LR: 0.000800
Training Epoch: 40 [32000/47500]	Loss: 0.1186	LR: 0.000800
Training Epoch: 40 [32256/47500]	Loss: 0.0698	LR: 0.000800
Training Epoch: 40 [32512/47500]	Loss: 0.0895	LR: 0.000800
Training Epoch: 40 [32768/47500]	Loss: 0.1269	LR: 0.000800
Training Epoch: 40 [33024/47500]	Loss: 0.1329	LR: 0.000800
Training Epoch: 40 [33280/47500]	Loss: 0.1645	LR: 0.000800
Training Epoch: 40 [33536/47500]	Loss: 0.1085	LR: 0.000800
Training Epoch: 40 [33792/47500]	Loss: 0.0716	LR: 0.000800
Training Epoch: 40 [34048/47500]	Loss: 0.1185	LR: 0.000800
Training Epoch: 40 [34304/47500]	Loss: 0.1155	LR: 0.000800
Training Epoch: 40 [34560/47500]	Loss: 0.0803	LR: 0.000800
Training Epoch: 40 [34816/47500]	Loss: 0.1147	LR: 0.000800
Training Epoch: 40 [35072/47500]	Loss: 0.1055	LR: 0.000800
Training Epoch: 40 [35328/47500]	Loss: 0.0822	LR: 0.000800
Training Epoch: 40 [35584/47500]	Loss: 0.1209	LR: 0.000800
Training Epoch: 40 [35840/47500]	Loss: 0.0821	LR: 0.000800
Training Epoch: 40 [36096/47500]	Loss: 0.1222	LR: 0.000800
Training Epoch: 40 [36352/47500]	Loss: 0.1148	LR: 0.000800
Training Epoch: 40 [36608/47500]	Loss: 0.1146	LR: 0.000800
Training Epoch: 40 [36864/47500]	Loss: 0.1134	LR: 0.000800
Training Epoch: 40 [37120/47500]	Loss: 0.0916	LR: 0.000800
Training Epoch: 40 [37376/47500]	Loss: 0.1223	LR: 0.000800
Training Epoch: 40 [37632/47500]	Loss: 0.1088	LR: 0.000800
Training Epoch: 40 [37888/47500]	Loss: 0.1361	LR: 0.000800
Training Epoch: 40 [38144/47500]	Loss: 0.1122	LR: 0.000800
Training Epoch: 40 [38400/47500]	Loss: 0.0830	LR: 0.000800
Training Epoch: 40 [38656/47500]	Loss: 0.0989	LR: 0.000800
Training Epoch: 40 [38912/47500]	Loss: 0.0753	LR: 0.000800
Training Epoch: 40 [39168/47500]	Loss: 0.0765	LR: 0.000800
Training Epoch: 40 [39424/47500]	Loss: 0.1207	LR: 0.000800
Training Epoch: 40 [39680/47500]	Loss: 0.1505	LR: 0.000800
Training Epoch: 40 [39936/47500]	Loss: 0.1934	LR: 0.000800
Training Epoch: 40 [40192/47500]	Loss: 0.1419	LR: 0.000800
Training Epoch: 40 [40448/47500]	Loss: 0.0748	LR: 0.000800
Training Epoch: 40 [40704/47500]	Loss: 0.1128	LR: 0.000800
Training Epoch: 40 [40960/47500]	Loss: 0.1316	LR: 0.000800
Training Epoch: 40 [41216/47500]	Loss: 0.1272	LR: 0.000800
Training Epoch: 40 [41472/47500]	Loss: 0.1201	LR: 0.000800
Training Epoch: 40 [41728/47500]	Loss: 0.1006	LR: 0.000800
Training Epoch: 40 [41984/47500]	Loss: 0.1151	LR: 0.000800
Training Epoch: 40 [42240/47500]	Loss: 0.0950	LR: 0.000800
Training Epoch: 40 [42496/47500]	Loss: 0.1073	LR: 0.000800
Training Epoch: 40 [42752/47500]	Loss: 0.0889	LR: 0.000800
Training Epoch: 40 [43008/47500]	Loss: 0.0874	LR: 0.000800
Training Epoch: 40 [43264/47500]	Loss: 0.1206	LR: 0.000800
Training Epoch: 40 [43520/47500]	Loss: 0.1442	LR: 0.000800
Training Epoch: 40 [43776/47500]	Loss: 0.1373	LR: 0.000800
Training Epoch: 40 [44032/47500]	Loss: 0.1242	LR: 0.000800
Training Epoch: 40 [44288/47500]	Loss: 0.0915	LR: 0.000800
Training Epoch: 40 [44544/47500]	Loss: 0.0877	LR: 0.000800
Training Epoch: 40 [44800/47500]	Loss: 0.0817	LR: 0.000800
Training Epoch: 40 [45056/47500]	Loss: 0.1517	LR: 0.000800
Training Epoch: 40 [45312/47500]	Loss: 0.1823	LR: 0.000800
Training Epoch: 40 [45568/47500]	Loss: 0.1220	LR: 0.000800
Training Epoch: 40 [45824/47500]	Loss: 0.1016	LR: 0.000800
Training Epoch: 40 [46080/47500]	Loss: 0.1032	LR: 0.000800
Training Epoch: 40 [46336/47500]	Loss: 0.0999	LR: 0.000800
Training Epoch: 40 [46592/47500]	Loss: 0.0806	LR: 0.000800
Training Epoch: 40 [46848/47500]	Loss: 0.1121	LR: 0.000800
Training Epoch: 40 [47104/47500]	Loss: 0.0993	LR: 0.000800
Training Epoch: 40 [47360/47500]	Loss: 0.0746	LR: 0.000800
Training Epoch: 40 [47500/47500]	Loss: 0.0828	LR: 0.000800
Epoch 40 - Average Train Loss: 0.1051, Train Accuracy: 0.9697
Epoch 40 training time consumed: 28.33s
Evaluating Network.....
Test set: Epoch: 40, Average loss: 0.0028, Accuracy: 0.8099, Time consumed:0.93s
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  47500
Forget Train Dl:  2500
Retain Valid Dl:  47500
Forget Valid Dl:  2500
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 2500 samples
Set1 Distribution: 2500 samples
Set2 Distribution: 2500 samples
Set1 Distribution: 2500 samples
Set2 Distribution: 2500 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 81.142578125
Retain Accuracy: 97.48403930664062
Zero-Retain Forget (ZRF): 0.9040817022323608
Membership Inference Attack (MIA): 0.5992
Forget vs Retain Membership Inference Attack (MIA): 0.587
Forget vs Test Membership Inference Attack (MIA): 0.522
Test vs Retain Membership Inference Attack (MIA): 0.5675
Train vs Test Membership Inference Attack (MIA): 0.603
Forget Set Accuracy (Df): 79.88201904296875
Method Execution Time: 2134.17 seconds
