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

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

📊 Updated class distribution:
Retain set:
  Class 0: 475
  Class 1: 475
  Class 2: 475
  Class 3: 475
  Class 4: 475
  Class 5: 475
  Class 6: 475
  Class 7: 475
  Class 8: 475
  Class 9: 475
  Class 10: 475
  Class 11: 475
  Class 12: 475
  Class 13: 475
  Class 14: 475
  Class 15: 475
  Class 16: 475
  Class 17: 475
  Class 18: 475
  Class 19: 475
  Class 20: 475
  Class 21: 475
  Class 22: 475
  Class 23: 475
  Class 24: 475
  Class 25: 475
  Class 26: 475
  Class 27: 475
  Class 28: 475
  Class 29: 475
  Class 30: 475
  Class 31: 475
  Class 32: 475
  Class 33: 475
  Class 34: 475
  Class 35: 475
  Class 36: 475
  Class 37: 475
  Class 38: 475
  Class 39: 475
  Class 40: 475
  Class 41: 475
  Class 42: 475
  Class 43: 475
  Class 44: 475
  Class 45: 475
  Class 46: 475
  Class 47: 475
  Class 48: 475
  Class 49: 475
  Class 50: 475
  Class 51: 475
  Class 52: 475
  Class 53: 475
  Class 54: 475
  Class 55: 475
  Class 56: 475
  Class 57: 475
  Class 58: 475
  Class 59: 475
  Class 60: 475
  Class 61: 475
  Class 62: 475
  Class 63: 475
  Class 64: 475
  Class 65: 475
  Class 66: 475
  Class 67: 475
  Class 68: 475
  Class 69: 475
  Class 70: 475
  Class 71: 475
  Class 72: 475
  Class 73: 475
  Class 74: 475
  Class 75: 475
  Class 76: 475
  Class 77: 475
  Class 78: 475
  Class 79: 475
  Class 80: 475
  Class 81: 475
  Class 82: 475
  Class 83: 475
  Class 84: 475
  Class 85: 475
  Class 86: 475
  Class 87: 475
  Class 88: 475
  Class 89: 475
  Class 90: 475
  Class 91: 475
  Class 92: 475
  Class 93: 475
  Class 94: 475
  Class 95: 475
  Class 96: 475
  Class 97: 475
  Class 98: 475
  Class 99: 475
Forget set:
  Class 0: 25
  Class 1: 25
  Class 2: 25
  Class 3: 25
  Class 4: 25
  Class 5: 25
  Class 6: 25
  Class 7: 25
  Class 8: 25
  Class 9: 25
  Class 10: 25
  Class 11: 25
  Class 12: 25
  Class 13: 25
  Class 14: 25
  Class 15: 25
  Class 16: 25
  Class 17: 25
  Class 18: 25
  Class 19: 25
  Class 20: 25
  Class 21: 25
  Class 22: 25
  Class 23: 25
  Class 24: 25
  Class 25: 25
  Class 26: 25
  Class 27: 25
  Class 28: 25
  Class 29: 25
  Class 30: 25
  Class 31: 25
  Class 32: 25
  Class 33: 25
  Class 34: 25
  Class 35: 25
  Class 36: 25
  Class 37: 25
  Class 38: 25
  Class 39: 25
  Class 40: 25
  Class 41: 25
  Class 42: 25
  Class 43: 25
  Class 44: 25
  Class 45: 25
  Class 46: 25
  Class 47: 25
  Class 48: 25
  Class 49: 25
  Class 50: 25
  Class 51: 25
  Class 52: 25
  Class 53: 25
  Class 54: 25
  Class 55: 25
  Class 56: 25
  Class 57: 25
  Class 58: 25
  Class 59: 25
  Class 60: 25
  Class 61: 25
  Class 62: 25
  Class 63: 25
  Class 64: 25
  Class 65: 25
  Class 66: 25
  Class 67: 25
  Class 68: 25
  Class 69: 25
  Class 70: 25
  Class 71: 25
  Class 72: 25
  Class 73: 25
  Class 74: 25
  Class 75: 25
  Class 76: 25
  Class 77: 25
  Class 78: 25
  Class 79: 25
  Class 80: 25
  Class 81: 25
  Class 82: 25
  Class 83: 25
  Class 84: 25
  Class 85: 25
  Class 86: 25
  Class 87: 25
  Class 88: 25
  Class 89: 25
  Class 90: 25
  Class 91: 25
  Class 92: 25
  Class 93: 25
  Class 94: 25
  Class 95: 25
  Class 96: 25
  Class 97: 25
  Class 98: 25
  Class 99: 25
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/47500]	Loss: 3.0768	LR: 0.000000
Training Epoch: 1 [512/47500]	Loss: 3.1206	LR: 0.000538
Training Epoch: 1 [768/47500]	Loss: 3.1367	LR: 0.001075
Training Epoch: 1 [1024/47500]	Loss: 3.1012	LR: 0.001613
Training Epoch: 1 [1280/47500]	Loss: 3.0439	LR: 0.002151
Training Epoch: 1 [1536/47500]	Loss: 3.0621	LR: 0.002688
Training Epoch: 1 [1792/47500]	Loss: 2.9915	LR: 0.003226
Training Epoch: 1 [2048/47500]	Loss: 3.0173	LR: 0.003763
Training Epoch: 1 [2304/47500]	Loss: 2.9600	LR: 0.004301
Training Epoch: 1 [2560/47500]	Loss: 2.9063	LR: 0.004839
Training Epoch: 1 [2816/47500]	Loss: 2.9486	LR: 0.005376
Training Epoch: 1 [3072/47500]	Loss: 2.9533	LR: 0.005914
Training Epoch: 1 [3328/47500]	Loss: 2.9598	LR: 0.006452
Training Epoch: 1 [3584/47500]	Loss: 2.9172	LR: 0.006989
Training Epoch: 1 [3840/47500]	Loss: 2.9284	LR: 0.007527
Training Epoch: 1 [4096/47500]	Loss: 2.9119	LR: 0.008065
Training Epoch: 1 [4352/47500]	Loss: 2.8511	LR: 0.008602
Training Epoch: 1 [4608/47500]	Loss: 2.7536	LR: 0.009140
Training Epoch: 1 [4864/47500]	Loss: 2.8330	LR: 0.009677
Training Epoch: 1 [5120/47500]	Loss: 2.7178	LR: 0.010215
Training Epoch: 1 [5376/47500]	Loss: 2.7145	LR: 0.010753
Training Epoch: 1 [5632/47500]	Loss: 2.7538	LR: 0.011290
Training Epoch: 1 [5888/47500]	Loss: 2.7507	LR: 0.011828
Training Epoch: 1 [6144/47500]	Loss: 2.6665	LR: 0.012366
Training Epoch: 1 [6400/47500]	Loss: 2.7730	LR: 0.012903
Training Epoch: 1 [6656/47500]	Loss: 2.8352	LR: 0.013441
Training Epoch: 1 [6912/47500]	Loss: 2.6680	LR: 0.013978
Training Epoch: 1 [7168/47500]	Loss: 2.6006	LR: 0.014516
Training Epoch: 1 [7424/47500]	Loss: 2.7614	LR: 0.015054
Training Epoch: 1 [7680/47500]	Loss: 2.6290	LR: 0.015591
Training Epoch: 1 [7936/47500]	Loss: 2.6809	LR: 0.016129
Training Epoch: 1 [8192/47500]	Loss: 2.6649	LR: 0.016667
Training Epoch: 1 [8448/47500]	Loss: 2.6607	LR: 0.017204
Training Epoch: 1 [8704/47500]	Loss: 2.5007	LR: 0.017742
Training Epoch: 1 [8960/47500]	Loss: 2.5706	LR: 0.018280
Training Epoch: 1 [9216/47500]	Loss: 2.6144	LR: 0.018817
Training Epoch: 1 [9472/47500]	Loss: 2.5332	LR: 0.019355
Training Epoch: 1 [9728/47500]	Loss: 2.5496	LR: 0.019892
Training Epoch: 1 [9984/47500]	Loss: 2.6178	LR: 0.020430
Training Epoch: 1 [10240/47500]	Loss: 2.5267	LR: 0.020968
Training Epoch: 1 [10496/47500]	Loss: 2.5908	LR: 0.021505
Training Epoch: 1 [10752/47500]	Loss: 2.4789	LR: 0.022043
Training Epoch: 1 [11008/47500]	Loss: 2.6852	LR: 0.022581
Training Epoch: 1 [11264/47500]	Loss: 2.7551	LR: 0.023118
Training Epoch: 1 [11520/47500]	Loss: 2.5602	LR: 0.023656
Training Epoch: 1 [11776/47500]	Loss: 2.5520	LR: 0.024194
Training Epoch: 1 [12032/47500]	Loss: 2.5404	LR: 0.024731
Training Epoch: 1 [12288/47500]	Loss: 2.6820	LR: 0.025269
Training Epoch: 1 [12544/47500]	Loss: 2.5201	LR: 0.025806
Training Epoch: 1 [12800/47500]	Loss: 2.6903	LR: 0.026344
Training Epoch: 1 [13056/47500]	Loss: 2.6550	LR: 0.026882
Training Epoch: 1 [13312/47500]	Loss: 2.5238	LR: 0.027419
Training Epoch: 1 [13568/47500]	Loss: 2.6531	LR: 0.027957
Training Epoch: 1 [13824/47500]	Loss: 2.5940	LR: 0.028495
Training Epoch: 1 [14080/47500]	Loss: 2.7691	LR: 0.029032
Training Epoch: 1 [14336/47500]	Loss: 2.6506	LR: 0.029570
Training Epoch: 1 [14592/47500]	Loss: 2.5368	LR: 0.030108
Training Epoch: 1 [14848/47500]	Loss: 2.8112	LR: 0.030645
Training Epoch: 1 [15104/47500]	Loss: 2.6027	LR: 0.031183
Training Epoch: 1 [15360/47500]	Loss: 2.6847	LR: 0.031720
Training Epoch: 1 [15616/47500]	Loss: 2.5453	LR: 0.032258
Training Epoch: 1 [15872/47500]	Loss: 2.6187	LR: 0.032796
Training Epoch: 1 [16128/47500]	Loss: 2.7997	LR: 0.033333
Training Epoch: 1 [16384/47500]	Loss: 2.5378	LR: 0.033871
Training Epoch: 1 [16640/47500]	Loss: 2.6941	LR: 0.034409
Training Epoch: 1 [16896/47500]	Loss: 2.5392	LR: 0.034946
Training Epoch: 1 [17152/47500]	Loss: 2.4850	LR: 0.035484
Training Epoch: 1 [17408/47500]	Loss: 2.6093	LR: 0.036022
Training Epoch: 1 [17664/47500]	Loss: 2.5802	LR: 0.036559
Training Epoch: 1 [17920/47500]	Loss: 2.4481	LR: 0.037097
Training Epoch: 1 [18176/47500]	Loss: 2.5834	LR: 0.037634
Training Epoch: 1 [18432/47500]	Loss: 2.4475	LR: 0.038172
Training Epoch: 1 [18688/47500]	Loss: 2.6001	LR: 0.038710
Training Epoch: 1 [18944/47500]	Loss: 2.6072	LR: 0.039247
Training Epoch: 1 [19200/47500]	Loss: 2.5634	LR: 0.039785
Training Epoch: 1 [19456/47500]	Loss: 2.3996	LR: 0.040323
Training Epoch: 1 [19712/47500]	Loss: 2.3365	LR: 0.040860
Training Epoch: 1 [19968/47500]	Loss: 2.4602	LR: 0.041398
Training Epoch: 1 [20224/47500]	Loss: 2.3866	LR: 0.041935
Training Epoch: 1 [20480/47500]	Loss: 2.4680	LR: 0.042473
Training Epoch: 1 [20736/47500]	Loss: 2.4888	LR: 0.043011
Training Epoch: 1 [20992/47500]	Loss: 2.3918	LR: 0.043548
Training Epoch: 1 [21248/47500]	Loss: 2.5477	LR: 0.044086
Training Epoch: 1 [21504/47500]	Loss: 2.5319	LR: 0.044624
Training Epoch: 1 [21760/47500]	Loss: 2.4954	LR: 0.045161
Training Epoch: 1 [22016/47500]	Loss: 2.5027	LR: 0.045699
Training Epoch: 1 [22272/47500]	Loss: 2.5780	LR: 0.046237
Training Epoch: 1 [22528/47500]	Loss: 2.5562	LR: 0.046774
Training Epoch: 1 [22784/47500]	Loss: 2.5280	LR: 0.047312
Training Epoch: 1 [23040/47500]	Loss: 2.4671	LR: 0.047849
Training Epoch: 1 [23296/47500]	Loss: 2.3844	LR: 0.048387
Training Epoch: 1 [23552/47500]	Loss: 2.6739	LR: 0.048925
Training Epoch: 1 [23808/47500]	Loss: 2.5556	LR: 0.049462
Training Epoch: 1 [24064/47500]	Loss: 2.4822	LR: 0.050000
Training Epoch: 1 [24320/47500]	Loss: 2.5419	LR: 0.050538
Training Epoch: 1 [24576/47500]	Loss: 2.4663	LR: 0.051075
Training Epoch: 1 [24832/47500]	Loss: 2.5961	LR: 0.051613
Training Epoch: 1 [25088/47500]	Loss: 2.4826	LR: 0.052151
Training Epoch: 1 [25344/47500]	Loss: 2.5312	LR: 0.052688
Training Epoch: 1 [25600/47500]	Loss: 2.5598	LR: 0.053226
Training Epoch: 1 [25856/47500]	Loss: 2.4156	LR: 0.053763
Training Epoch: 1 [26112/47500]	Loss: 2.4329	LR: 0.054301
Training Epoch: 1 [26368/47500]	Loss: 2.5318	LR: 0.054839
Training Epoch: 1 [26624/47500]	Loss: 2.6238	LR: 0.055376
Training Epoch: 1 [26880/47500]	Loss: 2.3170	LR: 0.055914
Training Epoch: 1 [27136/47500]	Loss: 2.4667	LR: 0.056452
Training Epoch: 1 [27392/47500]	Loss: 2.4478	LR: 0.056989
Training Epoch: 1 [27648/47500]	Loss: 2.6175	LR: 0.057527
Training Epoch: 1 [27904/47500]	Loss: 2.5064	LR: 0.058065
Training Epoch: 1 [28160/47500]	Loss: 2.3688	LR: 0.058602
Training Epoch: 1 [28416/47500]	Loss: 2.5875	LR: 0.059140
Training Epoch: 1 [28672/47500]	Loss: 2.2123	LR: 0.059677
Training Epoch: 1 [28928/47500]	Loss: 2.2630	LR: 0.060215
Training Epoch: 1 [29184/47500]	Loss: 2.3485	LR: 0.060753
Training Epoch: 1 [29440/47500]	Loss: 2.6217	LR: 0.061290
Training Epoch: 1 [29696/47500]	Loss: 2.4149	LR: 0.061828
Training Epoch: 1 [29952/47500]	Loss: 2.5054	LR: 0.062366
Training Epoch: 1 [30208/47500]	Loss: 2.5491	LR: 0.062903
Training Epoch: 1 [30464/47500]	Loss: 2.4387	LR: 0.063441
Training Epoch: 1 [30720/47500]	Loss: 2.5195	LR: 0.063978
Training Epoch: 1 [30976/47500]	Loss: 2.4421	LR: 0.064516
Training Epoch: 1 [31232/47500]	Loss: 2.3739	LR: 0.065054
Training Epoch: 1 [31488/47500]	Loss: 2.3817	LR: 0.065591
Training Epoch: 1 [31744/47500]	Loss: 2.4967	LR: 0.066129
Training Epoch: 1 [32000/47500]	Loss: 2.4857	LR: 0.066667
Training Epoch: 1 [32256/47500]	Loss: 2.3706	LR: 0.067204
Training Epoch: 1 [32512/47500]	Loss: 2.4145	LR: 0.067742
Training Epoch: 1 [32768/47500]	Loss: 2.3717	LR: 0.068280
Training Epoch: 1 [33024/47500]	Loss: 2.5547	LR: 0.068817
Training Epoch: 1 [33280/47500]	Loss: 2.3315	LR: 0.069355
Training Epoch: 1 [33536/47500]	Loss: 2.6290	LR: 0.069892
Training Epoch: 1 [33792/47500]	Loss: 2.5005	LR: 0.070430
Training Epoch: 1 [34048/47500]	Loss: 2.4543	LR: 0.070968
Training Epoch: 1 [34304/47500]	Loss: 2.3759	LR: 0.071505
Training Epoch: 1 [34560/47500]	Loss: 2.3979	LR: 0.072043
Training Epoch: 1 [34816/47500]	Loss: 2.3243	LR: 0.072581
Training Epoch: 1 [35072/47500]	Loss: 2.4665	LR: 0.073118
Training Epoch: 1 [35328/47500]	Loss: 2.3835	LR: 0.073656
Training Epoch: 1 [35584/47500]	Loss: 2.4873	LR: 0.074194
Training Epoch: 1 [35840/47500]	Loss: 2.3889	LR: 0.074731
Training Epoch: 1 [36096/47500]	Loss: 2.4522	LR: 0.075269
Training Epoch: 1 [36352/47500]	Loss: 2.4443	LR: 0.075806
Training Epoch: 1 [36608/47500]	Loss: 2.5272	LR: 0.076344
Training Epoch: 1 [36864/47500]	Loss: 2.4488	LR: 0.076882
Training Epoch: 1 [37120/47500]	Loss: 2.2836	LR: 0.077419
Training Epoch: 1 [37376/47500]	Loss: 2.3621	LR: 0.077957
Training Epoch: 1 [37632/47500]	Loss: 2.4021	LR: 0.078495
Training Epoch: 1 [37888/47500]	Loss: 2.4588	LR: 0.079032
Training Epoch: 1 [38144/47500]	Loss: 2.5019	LR: 0.079570
Training Epoch: 1 [38400/47500]	Loss: 2.4247	LR: 0.080108
Training Epoch: 1 [38656/47500]	Loss: 2.5671	LR: 0.080645
Training Epoch: 1 [38912/47500]	Loss: 2.4489	LR: 0.081183
Training Epoch: 1 [39168/47500]	Loss: 2.4800	LR: 0.081720
Training Epoch: 1 [39424/47500]	Loss: 2.5415	LR: 0.082258
Training Epoch: 1 [39680/47500]	Loss: 2.5087	LR: 0.082796
Training Epoch: 1 [39936/47500]	Loss: 2.5253	LR: 0.083333
Training Epoch: 1 [40192/47500]	Loss: 2.3117	LR: 0.083871
Training Epoch: 1 [40448/47500]	Loss: 2.5185	LR: 0.084409
Training Epoch: 1 [40704/47500]	Loss: 2.3671	LR: 0.084946
Training Epoch: 1 [40960/47500]	Loss: 2.3710	LR: 0.085484
Training Epoch: 1 [41216/47500]	Loss: 2.4078	LR: 0.086022
Training Epoch: 1 [41472/47500]	Loss: 2.6161	LR: 0.086559
Training Epoch: 1 [41728/47500]	Loss: 2.4111	LR: 0.087097
Training Epoch: 1 [41984/47500]	Loss: 2.2657	LR: 0.087634
Training Epoch: 1 [42240/47500]	Loss: 2.3909	LR: 0.088172
Training Epoch: 1 [42496/47500]	Loss: 2.2931	LR: 0.088710
Training Epoch: 1 [42752/47500]	Loss: 2.4767	LR: 0.089247
Training Epoch: 1 [43008/47500]	Loss: 2.3014	LR: 0.089785
Training Epoch: 1 [43264/47500]	Loss: 2.4358	LR: 0.090323
Training Epoch: 1 [43520/47500]	Loss: 2.3408	LR: 0.090860
Training Epoch: 1 [43776/47500]	Loss: 2.3731	LR: 0.091398
Training Epoch: 1 [44032/47500]	Loss: 2.2513	LR: 0.091935
Training Epoch: 1 [44288/47500]	Loss: 2.3923	LR: 0.092473
Training Epoch: 1 [44544/47500]	Loss: 2.3711	LR: 0.093011
Training Epoch: 1 [44800/47500]	Loss: 2.3625	LR: 0.093548
Training Epoch: 1 [45056/47500]	Loss: 2.6073	LR: 0.094086
Training Epoch: 1 [45312/47500]	Loss: 2.3601	LR: 0.094624
Training Epoch: 1 [45568/47500]	Loss: 2.2790	LR: 0.095161
Training Epoch: 1 [45824/47500]	Loss: 2.3642	LR: 0.095699
Training Epoch: 1 [46080/47500]	Loss: 2.3615	LR: 0.096237
Training Epoch: 1 [46336/47500]	Loss: 2.3350	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 2.3721	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 2.3797	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 2.4259	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 2.2655	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 2.3741	LR: 0.099462
Epoch 1 - Average Train Loss: 2.5512, Train Accuracy: 0.2163
Epoch 1 training time consumed: 29.27s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0094, Accuracy: 0.2685, Time consumed:1.05s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_22h_57m_49s/ResNet18-Cifar20-seed10-ret50-1-best.pth
Training Epoch: 2 [256/47500]	Loss: 2.3355	LR: 0.100000
Training Epoch: 2 [512/47500]	Loss: 2.3643	LR: 0.100000
Training Epoch: 2 [768/47500]	Loss: 2.3332	LR: 0.100000
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Epoch 2 - Average Train Loss: 2.1755, Train Accuracy: 0.3255
Epoch 2 training time consumed: 28.54s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0083, Accuracy: 0.3525, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_22h_57m_49s/ResNet18-Cifar20-seed10-ret50-2-best.pth
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Training Epoch: 3 [47500/47500]	Loss: 1.8193	LR: 0.100000
Epoch 3 - Average Train Loss: 1.9304, Train Accuracy: 0.3921
Epoch 3 training time consumed: 28.46s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0080, Accuracy: 0.3797, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_22h_57m_49s/ResNet18-Cifar20-seed10-ret50-3-best.pth
Training Epoch: 4 [256/47500]	Loss: 1.8127	LR: 0.100000
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Epoch 4 - Average Train Loss: 1.7217, Train Accuracy: 0.4566
Epoch 4 training time consumed: 28.48s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0075, Accuracy: 0.4463, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_22h_57m_49s/ResNet18-Cifar20-seed10-ret50-4-best.pth
Training Epoch: 5 [256/47500]	Loss: 1.6826	LR: 0.100000
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Training Epoch: 5 [47500/47500]	Loss: 1.6183	LR: 0.100000
Epoch 5 - Average Train Loss: 1.5428, Train Accuracy: 0.5107
Epoch 5 training time consumed: 28.46s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0061, Accuracy: 0.5211, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_22h_57m_49s/ResNet18-Cifar20-seed10-ret50-5-best.pth
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Training Epoch: 6 [47500/47500]	Loss: 1.3831	LR: 0.100000
Epoch 6 - Average Train Loss: 1.4005, Train Accuracy: 0.5520
Epoch 6 training time consumed: 28.49s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0061, Accuracy: 0.5274, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_22h_57m_49s/ResNet18-Cifar20-seed10-ret50-6-best.pth
Training Epoch: 7 [256/47500]	Loss: 1.3316	LR: 0.100000
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Training Epoch: 7 [47500/47500]	Loss: 1.2544	LR: 0.100000
Epoch 7 - Average Train Loss: 1.2886, Train Accuracy: 0.5853
Epoch 7 training time consumed: 28.52s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0052, Accuracy: 0.5926, Time consumed:0.87s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_22h_57m_49s/ResNet18-Cifar20-seed10-ret50-7-best.pth
Training Epoch: 8 [256/47500]	Loss: 1.1164	LR: 0.100000
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Epoch 8 - Average Train Loss: 1.1941, Train Accuracy: 0.6144
Epoch 8 training time consumed: 28.50s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0050, Accuracy: 0.6032, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_22h_57m_49s/ResNet18-Cifar20-seed10-ret50-8-best.pth
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Training Epoch: 9 [47360/47500]	Loss: 1.0990	LR: 0.100000
Training Epoch: 9 [47500/47500]	Loss: 0.9711	LR: 0.100000
Epoch 9 - Average Train Loss: 1.1173, Train Accuracy: 0.6397
Epoch 9 training time consumed: 28.68s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0049, Accuracy: 0.6116, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_22h_57m_49s/ResNet18-Cifar20-seed10-ret50-9-best.pth
Training Epoch: 10 [256/47500]	Loss: 1.0676	LR: 0.100000
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Training Epoch: 10 [47500/47500]	Loss: 1.0695	LR: 0.100000
Epoch 10 - Average Train Loss: 1.0517, Train Accuracy: 0.6608
Epoch 10 training time consumed: 28.42s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0047, Accuracy: 0.6220, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_22h_57m_49s/ResNet18-Cifar20-seed10-ret50-10-best.pth
Training Epoch: 11 [256/47500]	Loss: 0.8952	LR: 0.100000
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Training Epoch: 11 [47500/47500]	Loss: 1.1692	LR: 0.100000
Epoch 11 - Average Train Loss: 1.0013, Train Accuracy: 0.6756
Epoch 11 training time consumed: 28.55s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0053, Accuracy: 0.5911, Time consumed:0.92s
Training Epoch: 12 [256/47500]	Loss: 1.0448	LR: 0.100000
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Training Epoch: 12 [47500/47500]	Loss: 0.9401	LR: 0.100000
Epoch 12 - Average Train Loss: 0.9554, Train Accuracy: 0.6884
Epoch 12 training time consumed: 28.60s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0045, Accuracy: 0.6471, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_22h_57m_49s/ResNet18-Cifar20-seed10-ret50-12-best.pth
Training Epoch: 13 [256/47500]	Loss: 0.8212	LR: 0.100000
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Training Epoch: 13 [20224/47500]	Loss: 0.9243	LR: 0.100000
Training Epoch: 13 [20480/47500]	Loss: 0.8806	LR: 0.100000
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Training Epoch: 13 [29440/47500]	Loss: 0.9367	LR: 0.100000
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Training Epoch: 13 [32256/47500]	Loss: 0.9328	LR: 0.100000
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Training Epoch: 13 [35072/47500]	Loss: 1.1808	LR: 0.100000
Training Epoch: 13 [35328/47500]	Loss: 0.8504	LR: 0.100000
Training Epoch: 13 [35584/47500]	Loss: 0.8457	LR: 0.100000
Training Epoch: 13 [35840/47500]	Loss: 0.8451	LR: 0.100000
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Training Epoch: 13 [36352/47500]	Loss: 1.0748	LR: 0.100000
Training Epoch: 13 [36608/47500]	Loss: 0.9078	LR: 0.100000
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Training Epoch: 13 [37120/47500]	Loss: 0.8991	LR: 0.100000
Training Epoch: 13 [37376/47500]	Loss: 0.9121	LR: 0.100000
Training Epoch: 13 [37632/47500]	Loss: 1.0056	LR: 0.100000
Training Epoch: 13 [37888/47500]	Loss: 1.0557	LR: 0.100000
Training Epoch: 13 [38144/47500]	Loss: 0.9379	LR: 0.100000
Training Epoch: 13 [38400/47500]	Loss: 1.0882	LR: 0.100000
Training Epoch: 13 [38656/47500]	Loss: 0.9511	LR: 0.100000
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Training Epoch: 13 [39168/47500]	Loss: 1.0292	LR: 0.100000
Training Epoch: 13 [39424/47500]	Loss: 0.8979	LR: 0.100000
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Training Epoch: 13 [39936/47500]	Loss: 1.0389	LR: 0.100000
Training Epoch: 13 [40192/47500]	Loss: 0.9424	LR: 0.100000
Training Epoch: 13 [40448/47500]	Loss: 0.9306	LR: 0.100000
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Training Epoch: 13 [41216/47500]	Loss: 0.9281	LR: 0.100000
Training Epoch: 13 [41472/47500]	Loss: 0.8916	LR: 0.100000
Training Epoch: 13 [41728/47500]	Loss: 1.0066	LR: 0.100000
Training Epoch: 13 [41984/47500]	Loss: 0.9667	LR: 0.100000
Training Epoch: 13 [42240/47500]	Loss: 0.9376	LR: 0.100000
Training Epoch: 13 [42496/47500]	Loss: 0.8472	LR: 0.100000
Training Epoch: 13 [42752/47500]	Loss: 0.8740	LR: 0.100000
Training Epoch: 13 [43008/47500]	Loss: 0.9823	LR: 0.100000
Training Epoch: 13 [43264/47500]	Loss: 0.9567	LR: 0.100000
Training Epoch: 13 [43520/47500]	Loss: 0.8725	LR: 0.100000
Training Epoch: 13 [43776/47500]	Loss: 0.9589	LR: 0.100000
Training Epoch: 13 [44032/47500]	Loss: 0.9662	LR: 0.100000
Training Epoch: 13 [44288/47500]	Loss: 0.8861	LR: 0.100000
Training Epoch: 13 [44544/47500]	Loss: 0.8267	LR: 0.100000
Training Epoch: 13 [44800/47500]	Loss: 0.9037	LR: 0.100000
Training Epoch: 13 [45056/47500]	Loss: 0.9407	LR: 0.100000
Training Epoch: 13 [45312/47500]	Loss: 0.8997	LR: 0.100000
Training Epoch: 13 [45568/47500]	Loss: 0.8786	LR: 0.100000
Training Epoch: 13 [45824/47500]	Loss: 0.9128	LR: 0.100000
Training Epoch: 13 [46080/47500]	Loss: 1.1160	LR: 0.100000
Training Epoch: 13 [46336/47500]	Loss: 0.9517	LR: 0.100000
Training Epoch: 13 [46592/47500]	Loss: 0.8644	LR: 0.100000
Training Epoch: 13 [46848/47500]	Loss: 0.9607	LR: 0.100000
Training Epoch: 13 [47104/47500]	Loss: 0.8510	LR: 0.100000
Training Epoch: 13 [47360/47500]	Loss: 1.0870	LR: 0.100000
Training Epoch: 13 [47500/47500]	Loss: 0.9230	LR: 0.100000
Epoch 13 - Average Train Loss: 0.9299, Train Accuracy: 0.6968
Epoch 13 training time consumed: 28.63s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0045, Accuracy: 0.6398, Time consumed:0.88s
Training Epoch: 14 [256/47500]	Loss: 0.8562	LR: 0.100000
Training Epoch: 14 [512/47500]	Loss: 0.9305	LR: 0.100000
Training Epoch: 14 [768/47500]	Loss: 0.8608	LR: 0.100000
Training Epoch: 14 [1024/47500]	Loss: 0.9674	LR: 0.100000
Training Epoch: 14 [1280/47500]	Loss: 0.7201	LR: 0.100000
Training Epoch: 14 [1536/47500]	Loss: 0.8951	LR: 0.100000
Training Epoch: 14 [1792/47500]	Loss: 0.8874	LR: 0.100000
Training Epoch: 14 [2048/47500]	Loss: 0.8605	LR: 0.100000
Training Epoch: 14 [2304/47500]	Loss: 0.7393	LR: 0.100000
Training Epoch: 14 [2560/47500]	Loss: 0.8375	LR: 0.100000
Training Epoch: 14 [2816/47500]	Loss: 0.8845	LR: 0.100000
Training Epoch: 14 [3072/47500]	Loss: 0.8644	LR: 0.100000
Training Epoch: 14 [3328/47500]	Loss: 0.8578	LR: 0.100000
Training Epoch: 14 [3584/47500]	Loss: 0.9606	LR: 0.100000
Training Epoch: 14 [3840/47500]	Loss: 0.8406	LR: 0.100000
Training Epoch: 14 [4096/47500]	Loss: 1.0048	LR: 0.100000
Training Epoch: 14 [4352/47500]	Loss: 0.9380	LR: 0.100000
Training Epoch: 14 [4608/47500]	Loss: 0.9140	LR: 0.100000
Training Epoch: 14 [4864/47500]	Loss: 0.9008	LR: 0.100000
Training Epoch: 14 [5120/47500]	Loss: 1.0076	LR: 0.100000
Training Epoch: 14 [5376/47500]	Loss: 0.8361	LR: 0.100000
Training Epoch: 14 [5632/47500]	Loss: 0.9369	LR: 0.100000
Training Epoch: 14 [5888/47500]	Loss: 0.8548	LR: 0.100000
Training Epoch: 14 [6144/47500]	Loss: 0.8556	LR: 0.100000
Training Epoch: 14 [6400/47500]	Loss: 1.0944	LR: 0.100000
Training Epoch: 14 [6656/47500]	Loss: 0.8516	LR: 0.100000
Training Epoch: 14 [6912/47500]	Loss: 0.9229	LR: 0.100000
Training Epoch: 14 [7168/47500]	Loss: 0.7271	LR: 0.100000
Training Epoch: 14 [7424/47500]	Loss: 0.8938	LR: 0.100000
Training Epoch: 14 [7680/47500]	Loss: 0.8343	LR: 0.100000
Training Epoch: 14 [7936/47500]	Loss: 0.9521	LR: 0.100000
Training Epoch: 14 [8192/47500]	Loss: 0.8724	LR: 0.100000
Training Epoch: 14 [8448/47500]	Loss: 0.9000	LR: 0.100000
Training Epoch: 14 [8704/47500]	Loss: 0.8662	LR: 0.100000
Training Epoch: 14 [8960/47500]	Loss: 0.7937	LR: 0.100000
Training Epoch: 14 [9216/47500]	Loss: 0.9314	LR: 0.100000
Training Epoch: 14 [9472/47500]	Loss: 0.8914	LR: 0.100000
Training Epoch: 14 [9728/47500]	Loss: 0.9322	LR: 0.100000
Training Epoch: 14 [9984/47500]	Loss: 0.7816	LR: 0.100000
Training Epoch: 14 [10240/47500]	Loss: 0.7167	LR: 0.100000
Training Epoch: 14 [10496/47500]	Loss: 0.8912	LR: 0.100000
Training Epoch: 14 [10752/47500]	Loss: 0.8291	LR: 0.100000
Training Epoch: 14 [11008/47500]	Loss: 0.9466	LR: 0.100000
Training Epoch: 14 [11264/47500]	Loss: 0.7330	LR: 0.100000
Training Epoch: 14 [11520/47500]	Loss: 0.9112	LR: 0.100000
Training Epoch: 14 [11776/47500]	Loss: 0.8041	LR: 0.100000
Training Epoch: 14 [12032/47500]	Loss: 1.0613	LR: 0.100000
Training Epoch: 14 [12288/47500]	Loss: 0.8582	LR: 0.100000
Training Epoch: 14 [12544/47500]	Loss: 0.7875	LR: 0.100000
Training Epoch: 14 [12800/47500]	Loss: 0.9577	LR: 0.100000
Training Epoch: 14 [13056/47500]	Loss: 0.8815	LR: 0.100000
Training Epoch: 14 [13312/47500]	Loss: 0.8309	LR: 0.100000
Training Epoch: 14 [13568/47500]	Loss: 0.9500	LR: 0.100000
Training Epoch: 14 [13824/47500]	Loss: 0.8359	LR: 0.100000
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Training Epoch: 14 [16128/47500]	Loss: 0.9131	LR: 0.100000
Training Epoch: 14 [16384/47500]	Loss: 0.9093	LR: 0.100000
Training Epoch: 14 [16640/47500]	Loss: 0.9031	LR: 0.100000
Training Epoch: 14 [16896/47500]	Loss: 0.9625	LR: 0.100000
Training Epoch: 14 [17152/47500]	Loss: 1.1243	LR: 0.100000
Training Epoch: 14 [17408/47500]	Loss: 0.8558	LR: 0.100000
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Training Epoch: 14 [17920/47500]	Loss: 0.9424	LR: 0.100000
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Training Epoch: 14 [19200/47500]	Loss: 0.9748	LR: 0.100000
Training Epoch: 14 [19456/47500]	Loss: 0.9199	LR: 0.100000
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Training Epoch: 14 [19968/47500]	Loss: 0.8688	LR: 0.100000
Training Epoch: 14 [20224/47500]	Loss: 0.8629	LR: 0.100000
Training Epoch: 14 [20480/47500]	Loss: 0.8351	LR: 0.100000
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Training Epoch: 14 [24320/47500]	Loss: 1.0114	LR: 0.100000
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Training Epoch: 14 [29440/47500]	Loss: 0.9754	LR: 0.100000
Training Epoch: 14 [29696/47500]	Loss: 0.9377	LR: 0.100000
Training Epoch: 14 [29952/47500]	Loss: 0.9671	LR: 0.100000
Training Epoch: 14 [30208/47500]	Loss: 0.8849	LR: 0.100000
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Training Epoch: 14 [31232/47500]	Loss: 1.0416	LR: 0.100000
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Training Epoch: 14 [32000/47500]	Loss: 0.9594	LR: 0.100000
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Training Epoch: 14 [32768/47500]	Loss: 0.8392	LR: 0.100000
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Training Epoch: 14 [47500/47500]	Loss: 0.9861	LR: 0.100000
Epoch 14 - Average Train Loss: 0.9023, Train Accuracy: 0.7050
Epoch 14 training time consumed: 28.42s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0054, Accuracy: 0.6006, Time consumed:0.88s
Training Epoch: 15 [256/47500]	Loss: 0.9277	LR: 0.020000
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Training Epoch: 15 [47500/47500]	Loss: 0.5745	LR: 0.020000
Epoch 15 - Average Train Loss: 0.6627, Train Accuracy: 0.7847
Epoch 15 training time consumed: 28.46s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0030, Accuracy: 0.7622, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_22h_57m_49s/ResNet18-Cifar20-seed10-ret50-15-best.pth
Training Epoch: 16 [256/47500]	Loss: 0.4775	LR: 0.020000
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Training Epoch: 16 [47500/47500]	Loss: 0.5874	LR: 0.020000
Epoch 16 - Average Train Loss: 0.5745, Train Accuracy: 0.8145
Epoch 16 training time consumed: 28.42s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0029, Accuracy: 0.7719, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_22h_57m_49s/ResNet18-Cifar20-seed10-ret50-16-best.pth
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Training Epoch: 17 [47500/47500]	Loss: 0.5897	LR: 0.020000
Epoch 17 - Average Train Loss: 0.5422, Train Accuracy: 0.8218
Epoch 17 training time consumed: 28.62s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0028, Accuracy: 0.7742, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_22h_57m_49s/ResNet18-Cifar20-seed10-ret50-17-best.pth
Training Epoch: 18 [256/47500]	Loss: 0.4708	LR: 0.020000
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Training Epoch: 18 [47500/47500]	Loss: 0.6359	LR: 0.020000
Epoch 18 - Average Train Loss: 0.5093, Train Accuracy: 0.8348
Epoch 18 training time consumed: 28.45s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0029, Accuracy: 0.7724, Time consumed:0.90s
Training Epoch: 19 [256/47500]	Loss: 0.4763	LR: 0.020000
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Training Epoch: 19 [47500/47500]	Loss: 0.5852	LR: 0.020000
Epoch 19 - Average Train Loss: 0.4897, Train Accuracy: 0.8383
Epoch 19 training time consumed: 28.97s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0029, Accuracy: 0.7758, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_22h_57m_49s/ResNet18-Cifar20-seed10-ret50-19-best.pth
Training Epoch: 20 [256/47500]	Loss: 0.3742	LR: 0.020000
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Training Epoch: 20 [47500/47500]	Loss: 0.5006	LR: 0.020000
Epoch 20 - Average Train Loss: 0.4636, Train Accuracy: 0.8462
Epoch 20 training time consumed: 28.52s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0029, Accuracy: 0.7762, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_22h_57m_49s/ResNet18-Cifar20-seed10-ret50-20-best.pth
Training Epoch: 21 [256/47500]	Loss: 0.4198	LR: 0.020000
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Training Epoch: 21 [47500/47500]	Loss: 0.4188	LR: 0.020000
Epoch 21 - Average Train Loss: 0.4481, Train Accuracy: 0.8522
Epoch 21 training time consumed: 28.40s
Evaluating Network.....
Test set: Epoch: 21, Average loss: 0.0029, Accuracy: 0.7777, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_22h_57m_49s/ResNet18-Cifar20-seed10-ret50-21-best.pth
Training Epoch: 22 [256/47500]	Loss: 0.3672	LR: 0.020000
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Training Epoch: 22 [20736/47500]	Loss: 0.4167	LR: 0.020000
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Training Epoch: 22 [22528/47500]	Loss: 0.3965	LR: 0.020000
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Training Epoch: 22 [24832/47500]	Loss: 0.5069	LR: 0.020000
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Training Epoch: 22 [27648/47500]	Loss: 0.3797	LR: 0.020000
Training Epoch: 22 [27904/47500]	Loss: 0.4614	LR: 0.020000
Training Epoch: 22 [28160/47500]	Loss: 0.3952	LR: 0.020000
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Training Epoch: 22 [29440/47500]	Loss: 0.5028	LR: 0.020000
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Training Epoch: 22 [31744/47500]	Loss: 0.5401	LR: 0.020000
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Training Epoch: 22 [32256/47500]	Loss: 0.4187	LR: 0.020000
Training Epoch: 22 [32512/47500]	Loss: 0.5052	LR: 0.020000
Training Epoch: 22 [32768/47500]	Loss: 0.4015	LR: 0.020000
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Training Epoch: 22 [35072/47500]	Loss: 0.4392	LR: 0.020000
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Training Epoch: 22 [35584/47500]	Loss: 0.3930	LR: 0.020000
Training Epoch: 22 [35840/47500]	Loss: 0.4947	LR: 0.020000
Training Epoch: 22 [36096/47500]	Loss: 0.5038	LR: 0.020000
Training Epoch: 22 [36352/47500]	Loss: 0.4651	LR: 0.020000
Training Epoch: 22 [36608/47500]	Loss: 0.4151	LR: 0.020000
Training Epoch: 22 [36864/47500]	Loss: 0.3775	LR: 0.020000
Training Epoch: 22 [37120/47500]	Loss: 0.3952	LR: 0.020000
Training Epoch: 22 [37376/47500]	Loss: 0.4659	LR: 0.020000
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Training Epoch: 22 [37888/47500]	Loss: 0.3847	LR: 0.020000
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Training Epoch: 22 [38656/47500]	Loss: 0.3496	LR: 0.020000
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Training Epoch: 22 [40192/47500]	Loss: 0.4197	LR: 0.020000
Training Epoch: 22 [40448/47500]	Loss: 0.4649	LR: 0.020000
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Training Epoch: 22 [40960/47500]	Loss: 0.4844	LR: 0.020000
Training Epoch: 22 [41216/47500]	Loss: 0.6141	LR: 0.020000
Training Epoch: 22 [41472/47500]	Loss: 0.4471	LR: 0.020000
Training Epoch: 22 [41728/47500]	Loss: 0.4053	LR: 0.020000
Training Epoch: 22 [41984/47500]	Loss: 0.3952	LR: 0.020000
Training Epoch: 22 [42240/47500]	Loss: 0.2196	LR: 0.020000
Training Epoch: 22 [42496/47500]	Loss: 0.3363	LR: 0.020000
Training Epoch: 22 [42752/47500]	Loss: 0.4557	LR: 0.020000
Training Epoch: 22 [43008/47500]	Loss: 0.4620	LR: 0.020000
Training Epoch: 22 [43264/47500]	Loss: 0.6018	LR: 0.020000
Training Epoch: 22 [43520/47500]	Loss: 0.3668	LR: 0.020000
Training Epoch: 22 [43776/47500]	Loss: 0.4664	LR: 0.020000
Training Epoch: 22 [44032/47500]	Loss: 0.4793	LR: 0.020000
Training Epoch: 22 [44288/47500]	Loss: 0.4491	LR: 0.020000
Training Epoch: 22 [44544/47500]	Loss: 0.2941	LR: 0.020000
Training Epoch: 22 [44800/47500]	Loss: 0.4299	LR: 0.020000
Training Epoch: 22 [45056/47500]	Loss: 0.5406	LR: 0.020000
Training Epoch: 22 [45312/47500]	Loss: 0.3290	LR: 0.020000
Training Epoch: 22 [45568/47500]	Loss: 0.3683	LR: 0.020000
Training Epoch: 22 [45824/47500]	Loss: 0.4378	LR: 0.020000
Training Epoch: 22 [46080/47500]	Loss: 0.3995	LR: 0.020000
Training Epoch: 22 [46336/47500]	Loss: 0.4681	LR: 0.020000
Training Epoch: 22 [46592/47500]	Loss: 0.4258	LR: 0.020000
Training Epoch: 22 [46848/47500]	Loss: 0.5672	LR: 0.020000
Training Epoch: 22 [47104/47500]	Loss: 0.4080	LR: 0.020000
Training Epoch: 22 [47360/47500]	Loss: 0.3736	LR: 0.020000
Training Epoch: 22 [47500/47500]	Loss: 0.4998	LR: 0.020000
Epoch 22 - Average Train Loss: 0.4271, Train Accuracy: 0.8596
Epoch 22 training time consumed: 28.39s
Evaluating Network.....
Test set: Epoch: 22, Average loss: 0.0031, Accuracy: 0.7717, Time consumed:0.88s
Training Epoch: 23 [256/47500]	Loss: 0.3234	LR: 0.020000
Training Epoch: 23 [512/47500]	Loss: 0.3839	LR: 0.020000
Training Epoch: 23 [768/47500]	Loss: 0.3739	LR: 0.020000
Training Epoch: 23 [1024/47500]	Loss: 0.3710	LR: 0.020000
Training Epoch: 23 [1280/47500]	Loss: 0.4525	LR: 0.020000
Training Epoch: 23 [1536/47500]	Loss: 0.4155	LR: 0.020000
Training Epoch: 23 [1792/47500]	Loss: 0.3842	LR: 0.020000
Training Epoch: 23 [2048/47500]	Loss: 0.4556	LR: 0.020000
Training Epoch: 23 [2304/47500]	Loss: 0.3807	LR: 0.020000
Training Epoch: 23 [2560/47500]	Loss: 0.3166	LR: 0.020000
Training Epoch: 23 [2816/47500]	Loss: 0.3050	LR: 0.020000
Training Epoch: 23 [3072/47500]	Loss: 0.4111	LR: 0.020000
Training Epoch: 23 [3328/47500]	Loss: 0.4688	LR: 0.020000
Training Epoch: 23 [3584/47500]	Loss: 0.4806	LR: 0.020000
Training Epoch: 23 [3840/47500]	Loss: 0.3318	LR: 0.020000
Training Epoch: 23 [4096/47500]	Loss: 0.3571	LR: 0.020000
Training Epoch: 23 [4352/47500]	Loss: 0.2918	LR: 0.020000
Training Epoch: 23 [4608/47500]	Loss: 0.4426	LR: 0.020000
Training Epoch: 23 [4864/47500]	Loss: 0.3528	LR: 0.020000
Training Epoch: 23 [5120/47500]	Loss: 0.3286	LR: 0.020000
Training Epoch: 23 [5376/47500]	Loss: 0.3677	LR: 0.020000
Training Epoch: 23 [5632/47500]	Loss: 0.4398	LR: 0.020000
Training Epoch: 23 [5888/47500]	Loss: 0.3660	LR: 0.020000
Training Epoch: 23 [6144/47500]	Loss: 0.4445	LR: 0.020000
Training Epoch: 23 [6400/47500]	Loss: 0.4825	LR: 0.020000
Training Epoch: 23 [6656/47500]	Loss: 0.3970	LR: 0.020000
Training Epoch: 23 [6912/47500]	Loss: 0.3725	LR: 0.020000
Training Epoch: 23 [7168/47500]	Loss: 0.4362	LR: 0.020000
Training Epoch: 23 [7424/47500]	Loss: 0.4483	LR: 0.020000
Training Epoch: 23 [7680/47500]	Loss: 0.3087	LR: 0.020000
Training Epoch: 23 [7936/47500]	Loss: 0.3403	LR: 0.020000
Training Epoch: 23 [8192/47500]	Loss: 0.3958	LR: 0.020000
Training Epoch: 23 [8448/47500]	Loss: 0.3168	LR: 0.020000
Training Epoch: 23 [8704/47500]	Loss: 0.3536	LR: 0.020000
Training Epoch: 23 [8960/47500]	Loss: 0.4431	LR: 0.020000
Training Epoch: 23 [9216/47500]	Loss: 0.4353	LR: 0.020000
Training Epoch: 23 [9472/47500]	Loss: 0.4211	LR: 0.020000
Training Epoch: 23 [9728/47500]	Loss: 0.4502	LR: 0.020000
Training Epoch: 23 [9984/47500]	Loss: 0.3690	LR: 0.020000
Training Epoch: 23 [10240/47500]	Loss: 0.3667	LR: 0.020000
Training Epoch: 23 [10496/47500]	Loss: 0.4330	LR: 0.020000
Training Epoch: 23 [10752/47500]	Loss: 0.4117	LR: 0.020000
Training Epoch: 23 [11008/47500]	Loss: 0.3520	LR: 0.020000
Training Epoch: 23 [11264/47500]	Loss: 0.4048	LR: 0.020000
Training Epoch: 23 [11520/47500]	Loss: 0.5417	LR: 0.020000
Training Epoch: 23 [11776/47500]	Loss: 0.3258	LR: 0.020000
Training Epoch: 23 [12032/47500]	Loss: 0.3709	LR: 0.020000
Training Epoch: 23 [12288/47500]	Loss: 0.2763	LR: 0.020000
Training Epoch: 23 [12544/47500]	Loss: 0.3209	LR: 0.020000
Training Epoch: 23 [12800/47500]	Loss: 0.3448	LR: 0.020000
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Training Epoch: 23 [13568/47500]	Loss: 0.4293	LR: 0.020000
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Training Epoch: 23 [15104/47500]	Loss: 0.3512	LR: 0.020000
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Training Epoch: 23 [15616/47500]	Loss: 0.3590	LR: 0.020000
Training Epoch: 23 [15872/47500]	Loss: 0.4511	LR: 0.020000
Training Epoch: 23 [16128/47500]	Loss: 0.4033	LR: 0.020000
Training Epoch: 23 [16384/47500]	Loss: 0.4227	LR: 0.020000
Training Epoch: 23 [16640/47500]	Loss: 0.4734	LR: 0.020000
Training Epoch: 23 [16896/47500]	Loss: 0.3772	LR: 0.020000
Training Epoch: 23 [17152/47500]	Loss: 0.4459	LR: 0.020000
Training Epoch: 23 [17408/47500]	Loss: 0.4207	LR: 0.020000
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Training Epoch: 23 [18176/47500]	Loss: 0.3110	LR: 0.020000
Training Epoch: 23 [18432/47500]	Loss: 0.5368	LR: 0.020000
Training Epoch: 23 [18688/47500]	Loss: 0.3372	LR: 0.020000
Training Epoch: 23 [18944/47500]	Loss: 0.4901	LR: 0.020000
Training Epoch: 23 [19200/47500]	Loss: 0.4283	LR: 0.020000
Training Epoch: 23 [19456/47500]	Loss: 0.3760	LR: 0.020000
Training Epoch: 23 [19712/47500]	Loss: 0.3797	LR: 0.020000
Training Epoch: 23 [19968/47500]	Loss: 0.3928	LR: 0.020000
Training Epoch: 23 [20224/47500]	Loss: 0.3040	LR: 0.020000
Training Epoch: 23 [20480/47500]	Loss: 0.3861	LR: 0.020000
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Training Epoch: 23 [22016/47500]	Loss: 0.4660	LR: 0.020000
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Training Epoch: 23 [22528/47500]	Loss: 0.2553	LR: 0.020000
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Training Epoch: 23 [23296/47500]	Loss: 0.3996	LR: 0.020000
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Training Epoch: 23 [26368/47500]	Loss: 0.3699	LR: 0.020000
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Training Epoch: 23 [37376/47500]	Loss: 0.4166	LR: 0.020000
Training Epoch: 23 [37632/47500]	Loss: 0.4052	LR: 0.020000
Training Epoch: 23 [37888/47500]	Loss: 0.3860	LR: 0.020000
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Training Epoch: 23 [38656/47500]	Loss: 0.4538	LR: 0.020000
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Training Epoch: 23 [39680/47500]	Loss: 0.5649	LR: 0.020000
Training Epoch: 23 [39936/47500]	Loss: 0.3776	LR: 0.020000
Training Epoch: 23 [40192/47500]	Loss: 0.5680	LR: 0.020000
Training Epoch: 23 [40448/47500]	Loss: 0.4656	LR: 0.020000
Training Epoch: 23 [40704/47500]	Loss: 0.4141	LR: 0.020000
Training Epoch: 23 [40960/47500]	Loss: 0.3540	LR: 0.020000
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Training Epoch: 23 [41728/47500]	Loss: 0.4493	LR: 0.020000
Training Epoch: 23 [41984/47500]	Loss: 0.4474	LR: 0.020000
Training Epoch: 23 [42240/47500]	Loss: 0.2976	LR: 0.020000
Training Epoch: 23 [42496/47500]	Loss: 0.3381	LR: 0.020000
Training Epoch: 23 [42752/47500]	Loss: 0.4832	LR: 0.020000
Training Epoch: 23 [43008/47500]	Loss: 0.4598	LR: 0.020000
Training Epoch: 23 [43264/47500]	Loss: 0.3889	LR: 0.020000
Training Epoch: 23 [43520/47500]	Loss: 0.3784	LR: 0.020000
Training Epoch: 23 [43776/47500]	Loss: 0.4837	LR: 0.020000
Training Epoch: 23 [44032/47500]	Loss: 0.4612	LR: 0.020000
Training Epoch: 23 [44288/47500]	Loss: 0.4390	LR: 0.020000
Training Epoch: 23 [44544/47500]	Loss: 0.5185	LR: 0.020000
Training Epoch: 23 [44800/47500]	Loss: 0.4391	LR: 0.020000
Training Epoch: 23 [45056/47500]	Loss: 0.4448	LR: 0.020000
Training Epoch: 23 [45312/47500]	Loss: 0.3901	LR: 0.020000
Training Epoch: 23 [45568/47500]	Loss: 0.5044	LR: 0.020000
Training Epoch: 23 [45824/47500]	Loss: 0.3610	LR: 0.020000
Training Epoch: 23 [46080/47500]	Loss: 0.4122	LR: 0.020000
Training Epoch: 23 [46336/47500]	Loss: 0.5185	LR: 0.020000
Training Epoch: 23 [46592/47500]	Loss: 0.4303	LR: 0.020000
Training Epoch: 23 [46848/47500]	Loss: 0.4267	LR: 0.020000
Training Epoch: 23 [47104/47500]	Loss: 0.3874	LR: 0.020000
Training Epoch: 23 [47360/47500]	Loss: 0.4550	LR: 0.020000
Training Epoch: 23 [47500/47500]	Loss: 0.4135	LR: 0.020000
Epoch 23 - Average Train Loss: 0.4110, Train Accuracy: 0.8650
Epoch 23 training time consumed: 28.47s
Evaluating Network.....
Test set: Epoch: 23, Average loss: 0.0031, Accuracy: 0.7691, Time consumed:0.93s
Training Epoch: 24 [256/47500]	Loss: 0.4678	LR: 0.020000
Training Epoch: 24 [512/47500]	Loss: 0.3911	LR: 0.020000
Training Epoch: 24 [768/47500]	Loss: 0.3430	LR: 0.020000
Training Epoch: 24 [1024/47500]	Loss: 0.2956	LR: 0.020000
Training Epoch: 24 [1280/47500]	Loss: 0.3974	LR: 0.020000
Training Epoch: 24 [1536/47500]	Loss: 0.3567	LR: 0.020000
Training Epoch: 24 [1792/47500]	Loss: 0.3953	LR: 0.020000
Training Epoch: 24 [2048/47500]	Loss: 0.3841	LR: 0.020000
Training Epoch: 24 [2304/47500]	Loss: 0.4590	LR: 0.020000
Training Epoch: 24 [2560/47500]	Loss: 0.4492	LR: 0.020000
Training Epoch: 24 [2816/47500]	Loss: 0.3836	LR: 0.020000
Training Epoch: 24 [3072/47500]	Loss: 0.4289	LR: 0.020000
Training Epoch: 24 [3328/47500]	Loss: 0.4435	LR: 0.020000
Training Epoch: 24 [3584/47500]	Loss: 0.3559	LR: 0.020000
Training Epoch: 24 [3840/47500]	Loss: 0.3908	LR: 0.020000
Training Epoch: 24 [4096/47500]	Loss: 0.3700	LR: 0.020000
Training Epoch: 24 [4352/47500]	Loss: 0.3790	LR: 0.020000
Training Epoch: 24 [4608/47500]	Loss: 0.3554	LR: 0.020000
Training Epoch: 24 [4864/47500]	Loss: 0.3281	LR: 0.020000
Training Epoch: 24 [5120/47500]	Loss: 0.4586	LR: 0.020000
Training Epoch: 24 [5376/47500]	Loss: 0.4710	LR: 0.020000
Training Epoch: 24 [5632/47500]	Loss: 0.4451	LR: 0.020000
Training Epoch: 24 [5888/47500]	Loss: 0.4568	LR: 0.020000
Training Epoch: 24 [6144/47500]	Loss: 0.3850	LR: 0.020000
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Training Epoch: 24 [6656/47500]	Loss: 0.3537	LR: 0.020000
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Training Epoch: 24 [7168/47500]	Loss: 0.3217	LR: 0.020000
Training Epoch: 24 [7424/47500]	Loss: 0.4076	LR: 0.020000
Training Epoch: 24 [7680/47500]	Loss: 0.3889	LR: 0.020000
Training Epoch: 24 [7936/47500]	Loss: 0.3961	LR: 0.020000
Training Epoch: 24 [8192/47500]	Loss: 0.3273	LR: 0.020000
Training Epoch: 24 [8448/47500]	Loss: 0.3898	LR: 0.020000
Training Epoch: 24 [8704/47500]	Loss: 0.4061	LR: 0.020000
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Training Epoch: 24 [9472/47500]	Loss: 0.3871	LR: 0.020000
Training Epoch: 24 [9728/47500]	Loss: 0.4150	LR: 0.020000
Training Epoch: 24 [9984/47500]	Loss: 0.3702	LR: 0.020000
Training Epoch: 24 [10240/47500]	Loss: 0.4459	LR: 0.020000
Training Epoch: 24 [10496/47500]	Loss: 0.3339	LR: 0.020000
Training Epoch: 24 [10752/47500]	Loss: 0.4174	LR: 0.020000
Training Epoch: 24 [11008/47500]	Loss: 0.4132	LR: 0.020000
Training Epoch: 24 [11264/47500]	Loss: 0.3405	LR: 0.020000
Training Epoch: 24 [11520/47500]	Loss: 0.3829	LR: 0.020000
Training Epoch: 24 [11776/47500]	Loss: 0.3537	LR: 0.020000
Training Epoch: 24 [12032/47500]	Loss: 0.3962	LR: 0.020000
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Training Epoch: 24 [16896/47500]	Loss: 0.4271	LR: 0.020000
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Training Epoch: 24 [19200/47500]	Loss: 0.3279	LR: 0.020000
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Training Epoch: 24 [41728/47500]	Loss: 0.4069	LR: 0.020000
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Training Epoch: 24 [42240/47500]	Loss: 0.3504	LR: 0.020000
Training Epoch: 24 [42496/47500]	Loss: 0.4297	LR: 0.020000
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Training Epoch: 24 [43264/47500]	Loss: 0.3352	LR: 0.020000
Training Epoch: 24 [43520/47500]	Loss: 0.4001	LR: 0.020000
Training Epoch: 24 [43776/47500]	Loss: 0.4304	LR: 0.020000
Training Epoch: 24 [44032/47500]	Loss: 0.5165	LR: 0.020000
Training Epoch: 24 [44288/47500]	Loss: 0.4062	LR: 0.020000
Training Epoch: 24 [44544/47500]	Loss: 0.4674	LR: 0.020000
Training Epoch: 24 [44800/47500]	Loss: 0.2693	LR: 0.020000
Training Epoch: 24 [45056/47500]	Loss: 0.4283	LR: 0.020000
Training Epoch: 24 [45312/47500]	Loss: 0.4771	LR: 0.020000
Training Epoch: 24 [45568/47500]	Loss: 0.4030	LR: 0.020000
Training Epoch: 24 [45824/47500]	Loss: 0.3563	LR: 0.020000
Training Epoch: 24 [46080/47500]	Loss: 0.3622	LR: 0.020000
Training Epoch: 24 [46336/47500]	Loss: 0.5007	LR: 0.020000
Training Epoch: 24 [46592/47500]	Loss: 0.4801	LR: 0.020000
Training Epoch: 24 [46848/47500]	Loss: 0.3811	LR: 0.020000
Training Epoch: 24 [47104/47500]	Loss: 0.3425	LR: 0.020000
Training Epoch: 24 [47360/47500]	Loss: 0.3398	LR: 0.020000
Training Epoch: 24 [47500/47500]	Loss: 0.4989	LR: 0.020000
Epoch 24 - Average Train Loss: 0.4021, Train Accuracy: 0.8665
Epoch 24 training time consumed: 28.69s
Evaluating Network.....
Test set: Epoch: 24, Average loss: 0.0032, Accuracy: 0.7674, Time consumed:0.94s
Training Epoch: 25 [256/47500]	Loss: 0.3046	LR: 0.020000
Training Epoch: 25 [512/47500]	Loss: 0.3045	LR: 0.020000
Training Epoch: 25 [768/47500]	Loss: 0.4120	LR: 0.020000
Training Epoch: 25 [1024/47500]	Loss: 0.4347	LR: 0.020000
Training Epoch: 25 [1280/47500]	Loss: 0.3876	LR: 0.020000
Training Epoch: 25 [1536/47500]	Loss: 0.3889	LR: 0.020000
Training Epoch: 25 [1792/47500]	Loss: 0.3347	LR: 0.020000
Training Epoch: 25 [2048/47500]	Loss: 0.3133	LR: 0.020000
Training Epoch: 25 [2304/47500]	Loss: 0.2994	LR: 0.020000
Training Epoch: 25 [2560/47500]	Loss: 0.3507	LR: 0.020000
Training Epoch: 25 [2816/47500]	Loss: 0.3445	LR: 0.020000
Training Epoch: 25 [3072/47500]	Loss: 0.3218	LR: 0.020000
Training Epoch: 25 [3328/47500]	Loss: 0.3186	LR: 0.020000
Training Epoch: 25 [3584/47500]	Loss: 0.4335	LR: 0.020000
Training Epoch: 25 [3840/47500]	Loss: 0.3286	LR: 0.020000
Training Epoch: 25 [4096/47500]	Loss: 0.4131	LR: 0.020000
Training Epoch: 25 [4352/47500]	Loss: 0.3354	LR: 0.020000
Training Epoch: 25 [4608/47500]	Loss: 0.3528	LR: 0.020000
Training Epoch: 25 [4864/47500]	Loss: 0.3147	LR: 0.020000
Training Epoch: 25 [5120/47500]	Loss: 0.3935	LR: 0.020000
Training Epoch: 25 [5376/47500]	Loss: 0.4692	LR: 0.020000
Training Epoch: 25 [5632/47500]	Loss: 0.3475	LR: 0.020000
Training Epoch: 25 [5888/47500]	Loss: 0.3735	LR: 0.020000
Training Epoch: 25 [6144/47500]	Loss: 0.3969	LR: 0.020000
Training Epoch: 25 [6400/47500]	Loss: 0.3802	LR: 0.020000
Training Epoch: 25 [6656/47500]	Loss: 0.3822	LR: 0.020000
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Training Epoch: 25 [7168/47500]	Loss: 0.3028	LR: 0.020000
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Training Epoch: 25 [8448/47500]	Loss: 0.4718	LR: 0.020000
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Training Epoch: 25 [10496/47500]	Loss: 0.3621	LR: 0.020000
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Training Epoch: 25 [16896/47500]	Loss: 0.3953	LR: 0.020000
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Training Epoch: 25 [19200/47500]	Loss: 0.3833	LR: 0.020000
Training Epoch: 25 [19456/47500]	Loss: 0.3797	LR: 0.020000
Training Epoch: 25 [19712/47500]	Loss: 0.2624	LR: 0.020000
Training Epoch: 25 [19968/47500]	Loss: 0.3725	LR: 0.020000
Training Epoch: 25 [20224/47500]	Loss: 0.4222	LR: 0.020000
Training Epoch: 25 [20480/47500]	Loss: 0.4498	LR: 0.020000
Training Epoch: 25 [20736/47500]	Loss: 0.4898	LR: 0.020000
Training Epoch: 25 [20992/47500]	Loss: 0.4114	LR: 0.020000
Training Epoch: 25 [21248/47500]	Loss: 0.3422	LR: 0.020000
Training Epoch: 25 [21504/47500]	Loss: 0.3723	LR: 0.020000
Training Epoch: 25 [21760/47500]	Loss: 0.3483	LR: 0.020000
Training Epoch: 25 [22016/47500]	Loss: 0.3396	LR: 0.020000
Training Epoch: 25 [22272/47500]	Loss: 0.5233	LR: 0.020000
Training Epoch: 25 [22528/47500]	Loss: 0.4288	LR: 0.020000
Training Epoch: 25 [22784/47500]	Loss: 0.3507	LR: 0.020000
Training Epoch: 25 [23040/47500]	Loss: 0.3666	LR: 0.020000
Training Epoch: 25 [23296/47500]	Loss: 0.3582	LR: 0.020000
Training Epoch: 25 [23552/47500]	Loss: 0.3897	LR: 0.020000
Training Epoch: 25 [23808/47500]	Loss: 0.4117	LR: 0.020000
Training Epoch: 25 [24064/47500]	Loss: 0.3912	LR: 0.020000
Training Epoch: 25 [24320/47500]	Loss: 0.4645	LR: 0.020000
Training Epoch: 25 [24576/47500]	Loss: 0.4236	LR: 0.020000
Training Epoch: 25 [24832/47500]	Loss: 0.4346	LR: 0.020000
Training Epoch: 25 [25088/47500]	Loss: 0.2824	LR: 0.020000
Training Epoch: 25 [25344/47500]	Loss: 0.4324	LR: 0.020000
Training Epoch: 25 [25600/47500]	Loss: 0.3389	LR: 0.020000
Training Epoch: 25 [25856/47500]	Loss: 0.3915	LR: 0.020000
Training Epoch: 25 [26112/47500]	Loss: 0.3164	LR: 0.020000
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Training Epoch: 25 [27136/47500]	Loss: 0.3416	LR: 0.020000
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Training Epoch: 25 [27648/47500]	Loss: 0.3830	LR: 0.020000
Training Epoch: 25 [27904/47500]	Loss: 0.4703	LR: 0.020000
Training Epoch: 25 [28160/47500]	Loss: 0.3360	LR: 0.020000
Training Epoch: 25 [28416/47500]	Loss: 0.4267	LR: 0.020000
Training Epoch: 25 [28672/47500]	Loss: 0.3952	LR: 0.020000
Training Epoch: 25 [28928/47500]	Loss: 0.3092	LR: 0.020000
Training Epoch: 25 [29184/47500]	Loss: 0.3441	LR: 0.020000
Training Epoch: 25 [29440/47500]	Loss: 0.3811	LR: 0.020000
Training Epoch: 25 [29696/47500]	Loss: 0.4669	LR: 0.020000
Training Epoch: 25 [29952/47500]	Loss: 0.3947	LR: 0.020000
Training Epoch: 25 [30208/47500]	Loss: 0.3826	LR: 0.020000
Training Epoch: 25 [30464/47500]	Loss: 0.3864	LR: 0.020000
Training Epoch: 25 [30720/47500]	Loss: 0.3689	LR: 0.020000
Training Epoch: 25 [30976/47500]	Loss: 0.3346	LR: 0.020000
Training Epoch: 25 [31232/47500]	Loss: 0.3633	LR: 0.020000
Training Epoch: 25 [31488/47500]	Loss: 0.3469	LR: 0.020000
Training Epoch: 25 [31744/47500]	Loss: 0.3339	LR: 0.020000
Training Epoch: 25 [32000/47500]	Loss: 0.3917	LR: 0.020000
Training Epoch: 25 [32256/47500]	Loss: 0.3009	LR: 0.020000
Training Epoch: 25 [32512/47500]	Loss: 0.5037	LR: 0.020000
Training Epoch: 25 [32768/47500]	Loss: 0.4111	LR: 0.020000
Training Epoch: 25 [33024/47500]	Loss: 0.4032	LR: 0.020000
Training Epoch: 25 [33280/47500]	Loss: 0.4178	LR: 0.020000
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Training Epoch: 25 [34816/47500]	Loss: 0.3089	LR: 0.020000
Training Epoch: 25 [35072/47500]	Loss: 0.4106	LR: 0.020000
Training Epoch: 25 [35328/47500]	Loss: 0.4151	LR: 0.020000
Training Epoch: 25 [35584/47500]	Loss: 0.3348	LR: 0.020000
Training Epoch: 25 [35840/47500]	Loss: 0.4212	LR: 0.020000
Training Epoch: 25 [36096/47500]	Loss: 0.3666	LR: 0.020000
Training Epoch: 25 [36352/47500]	Loss: 0.4216	LR: 0.020000
Training Epoch: 25 [36608/47500]	Loss: 0.3657	LR: 0.020000
Training Epoch: 25 [36864/47500]	Loss: 0.4468	LR: 0.020000
Training Epoch: 25 [37120/47500]	Loss: 0.4214	LR: 0.020000
Training Epoch: 25 [37376/47500]	Loss: 0.4297	LR: 0.020000
Training Epoch: 25 [37632/47500]	Loss: 0.4125	LR: 0.020000
Training Epoch: 25 [37888/47500]	Loss: 0.4214	LR: 0.020000
Training Epoch: 25 [38144/47500]	Loss: 0.4609	LR: 0.020000
Training Epoch: 25 [38400/47500]	Loss: 0.4317	LR: 0.020000
Training Epoch: 25 [38656/47500]	Loss: 0.4047	LR: 0.020000
Training Epoch: 25 [38912/47500]	Loss: 0.2852	LR: 0.020000
Training Epoch: 25 [39168/47500]	Loss: 0.3439	LR: 0.020000
Training Epoch: 25 [39424/47500]	Loss: 0.4601	LR: 0.020000
Training Epoch: 25 [39680/47500]	Loss: 0.3532	LR: 0.020000
Training Epoch: 25 [39936/47500]	Loss: 0.3607	LR: 0.020000
Training Epoch: 25 [40192/47500]	Loss: 0.3365	LR: 0.020000
Training Epoch: 25 [40448/47500]	Loss: 0.4892	LR: 0.020000
Training Epoch: 25 [40704/47500]	Loss: 0.4660	LR: 0.020000
Training Epoch: 25 [40960/47500]	Loss: 0.3158	LR: 0.020000
Training Epoch: 25 [41216/47500]	Loss: 0.3870	LR: 0.020000
Training Epoch: 25 [41472/47500]	Loss: 0.4722	LR: 0.020000
Training Epoch: 25 [41728/47500]	Loss: 0.5337	LR: 0.020000
Training Epoch: 25 [41984/47500]	Loss: 0.4034	LR: 0.020000
Training Epoch: 25 [42240/47500]	Loss: 0.3264	LR: 0.020000
Training Epoch: 25 [42496/47500]	Loss: 0.4376	LR: 0.020000
Training Epoch: 25 [42752/47500]	Loss: 0.3911	LR: 0.020000
Training Epoch: 25 [43008/47500]	Loss: 0.3938	LR: 0.020000
Training Epoch: 25 [43264/47500]	Loss: 0.3850	LR: 0.020000
Training Epoch: 25 [43520/47500]	Loss: 0.3674	LR: 0.020000
Training Epoch: 25 [43776/47500]	Loss: 0.4487	LR: 0.020000
Training Epoch: 25 [44032/47500]	Loss: 0.4997	LR: 0.020000
Training Epoch: 25 [44288/47500]	Loss: 0.4878	LR: 0.020000
Training Epoch: 25 [44544/47500]	Loss: 0.4214	LR: 0.020000
Training Epoch: 25 [44800/47500]	Loss: 0.4064	LR: 0.020000
Training Epoch: 25 [45056/47500]	Loss: 0.3535	LR: 0.020000
Training Epoch: 25 [45312/47500]	Loss: 0.4110	LR: 0.020000
Training Epoch: 25 [45568/47500]	Loss: 0.4562	LR: 0.020000
Training Epoch: 25 [45824/47500]	Loss: 0.3971	LR: 0.020000
Training Epoch: 25 [46080/47500]	Loss: 0.4324	LR: 0.020000
Training Epoch: 25 [46336/47500]	Loss: 0.3616	LR: 0.020000
Training Epoch: 25 [46592/47500]	Loss: 0.4743	LR: 0.020000
Training Epoch: 25 [46848/47500]	Loss: 0.4060	LR: 0.020000
Training Epoch: 25 [47104/47500]	Loss: 0.3619	LR: 0.020000
Training Epoch: 25 [47360/47500]	Loss: 0.4194	LR: 0.020000
Training Epoch: 25 [47500/47500]	Loss: 0.4186	LR: 0.020000
Epoch 25 - Average Train Loss: 0.3836, Train Accuracy: 0.8733
Epoch 25 training time consumed: 28.49s
Evaluating Network.....
Test set: Epoch: 25, Average loss: 0.0032, Accuracy: 0.7748, Time consumed:0.87s
Training Epoch: 26 [256/47500]	Loss: 0.3592	LR: 0.020000
Training Epoch: 26 [512/47500]	Loss: 0.3520	LR: 0.020000
Training Epoch: 26 [768/47500]	Loss: 0.3885	LR: 0.020000
Training Epoch: 26 [1024/47500]	Loss: 0.4425	LR: 0.020000
Training Epoch: 26 [1280/47500]	Loss: 0.2971	LR: 0.020000
Training Epoch: 26 [1536/47500]	Loss: 0.3000	LR: 0.020000
Training Epoch: 26 [1792/47500]	Loss: 0.4624	LR: 0.020000
Training Epoch: 26 [2048/47500]	Loss: 0.2972	LR: 0.020000
Training Epoch: 26 [2304/47500]	Loss: 0.4571	LR: 0.020000
Training Epoch: 26 [2560/47500]	Loss: 0.3656	LR: 0.020000
Training Epoch: 26 [2816/47500]	Loss: 0.3464	LR: 0.020000
Training Epoch: 26 [3072/47500]	Loss: 0.3587	LR: 0.020000
Training Epoch: 26 [3328/47500]	Loss: 0.3669	LR: 0.020000
Training Epoch: 26 [3584/47500]	Loss: 0.4212	LR: 0.020000
Training Epoch: 26 [3840/47500]	Loss: 0.2963	LR: 0.020000
Training Epoch: 26 [4096/47500]	Loss: 0.3293	LR: 0.020000
Training Epoch: 26 [4352/47500]	Loss: 0.3301	LR: 0.020000
Training Epoch: 26 [4608/47500]	Loss: 0.3019	LR: 0.020000
Training Epoch: 26 [4864/47500]	Loss: 0.3631	LR: 0.020000
Training Epoch: 26 [5120/47500]	Loss: 0.3453	LR: 0.020000
Training Epoch: 26 [5376/47500]	Loss: 0.3726	LR: 0.020000
Training Epoch: 26 [5632/47500]	Loss: 0.3040	LR: 0.020000
Training Epoch: 26 [5888/47500]	Loss: 0.3067	LR: 0.020000
Training Epoch: 26 [6144/47500]	Loss: 0.3155	LR: 0.020000
Training Epoch: 26 [6400/47500]	Loss: 0.2904	LR: 0.020000
Training Epoch: 26 [6656/47500]	Loss: 0.3573	LR: 0.020000
Training Epoch: 26 [6912/47500]	Loss: 0.3911	LR: 0.020000
Training Epoch: 26 [7168/47500]	Loss: 0.4031	LR: 0.020000
Training Epoch: 26 [7424/47500]	Loss: 0.4143	LR: 0.020000
Training Epoch: 26 [7680/47500]	Loss: 0.4054	LR: 0.020000
Training Epoch: 26 [7936/47500]	Loss: 0.3257	LR: 0.020000
Training Epoch: 26 [8192/47500]	Loss: 0.3026	LR: 0.020000
Training Epoch: 26 [8448/47500]	Loss: 0.3168	LR: 0.020000
Training Epoch: 26 [8704/47500]	Loss: 0.3916	LR: 0.020000
Training Epoch: 26 [8960/47500]	Loss: 0.2847	LR: 0.020000
Training Epoch: 26 [9216/47500]	Loss: 0.5056	LR: 0.020000
Training Epoch: 26 [9472/47500]	Loss: 0.3412	LR: 0.020000
Training Epoch: 26 [9728/47500]	Loss: 0.3615	LR: 0.020000
Training Epoch: 26 [9984/47500]	Loss: 0.3746	LR: 0.020000
Training Epoch: 26 [10240/47500]	Loss: 0.4385	LR: 0.020000
Training Epoch: 26 [10496/47500]	Loss: 0.3334	LR: 0.020000
Training Epoch: 26 [10752/47500]	Loss: 0.2916	LR: 0.020000
Training Epoch: 26 [11008/47500]	Loss: 0.3995	LR: 0.020000
Training Epoch: 26 [11264/47500]	Loss: 0.3042	LR: 0.020000
Training Epoch: 26 [11520/47500]	Loss: 0.3717	LR: 0.020000
Training Epoch: 26 [11776/47500]	Loss: 0.3712	LR: 0.020000
Training Epoch: 26 [12032/47500]	Loss: 0.3423	LR: 0.020000
Training Epoch: 26 [12288/47500]	Loss: 0.3976	LR: 0.020000
Training Epoch: 26 [12544/47500]	Loss: 0.3162	LR: 0.020000
Training Epoch: 26 [12800/47500]	Loss: 0.3429	LR: 0.020000
Training Epoch: 26 [13056/47500]	Loss: 0.3556	LR: 0.020000
Training Epoch: 26 [13312/47500]	Loss: 0.3504	LR: 0.020000
Training Epoch: 26 [13568/47500]	Loss: 0.3462	LR: 0.020000
Training Epoch: 26 [13824/47500]	Loss: 0.4434	LR: 0.020000
Training Epoch: 26 [14080/47500]	Loss: 0.3120	LR: 0.020000
Training Epoch: 26 [14336/47500]	Loss: 0.5135	LR: 0.020000
Training Epoch: 26 [14592/47500]	Loss: 0.3555	LR: 0.020000
Training Epoch: 26 [14848/47500]	Loss: 0.3127	LR: 0.020000
Training Epoch: 26 [15104/47500]	Loss: 0.3261	LR: 0.020000
Training Epoch: 26 [15360/47500]	Loss: 0.3838	LR: 0.020000
Training Epoch: 26 [15616/47500]	Loss: 0.4359	LR: 0.020000
Training Epoch: 26 [15872/47500]	Loss: 0.3855	LR: 0.020000
Training Epoch: 26 [16128/47500]	Loss: 0.2880	LR: 0.020000
Training Epoch: 26 [16384/47500]	Loss: 0.3871	LR: 0.020000
Training Epoch: 26 [16640/47500]	Loss: 0.4249	LR: 0.020000
Training Epoch: 26 [16896/47500]	Loss: 0.3349	LR: 0.020000
Training Epoch: 26 [17152/47500]	Loss: 0.3762	LR: 0.020000
Training Epoch: 26 [17408/47500]	Loss: 0.3376	LR: 0.020000
Training Epoch: 26 [17664/47500]	Loss: 0.2992	LR: 0.020000
Training Epoch: 26 [17920/47500]	Loss: 0.2764	LR: 0.020000
Training Epoch: 26 [18176/47500]	Loss: 0.4086	LR: 0.020000
Training Epoch: 26 [18432/47500]	Loss: 0.3843	LR: 0.020000
Training Epoch: 26 [18688/47500]	Loss: 0.3601	LR: 0.020000
Training Epoch: 26 [18944/47500]	Loss: 0.3227	LR: 0.020000
Training Epoch: 26 [19200/47500]	Loss: 0.3103	LR: 0.020000
Training Epoch: 26 [19456/47500]	Loss: 0.3609	LR: 0.020000
Training Epoch: 26 [19712/47500]	Loss: 0.3905	LR: 0.020000
Training Epoch: 26 [19968/47500]	Loss: 0.2601	LR: 0.020000
Training Epoch: 26 [20224/47500]	Loss: 0.3258	LR: 0.020000
Training Epoch: 26 [20480/47500]	Loss: 0.3068	LR: 0.020000
Training Epoch: 26 [20736/47500]	Loss: 0.3361	LR: 0.020000
Training Epoch: 26 [20992/47500]	Loss: 0.3661	LR: 0.020000
Training Epoch: 26 [21248/47500]	Loss: 0.3652	LR: 0.020000
Training Epoch: 26 [21504/47500]	Loss: 0.3826	LR: 0.020000
Training Epoch: 26 [21760/47500]	Loss: 0.4221	LR: 0.020000
Training Epoch: 26 [22016/47500]	Loss: 0.3246	LR: 0.020000
Training Epoch: 26 [22272/47500]	Loss: 0.3318	LR: 0.020000
Training Epoch: 26 [22528/47500]	Loss: 0.3475	LR: 0.020000
Training Epoch: 26 [22784/47500]	Loss: 0.4415	LR: 0.020000
Training Epoch: 26 [23040/47500]	Loss: 0.3127	LR: 0.020000
Training Epoch: 26 [23296/47500]	Loss: 0.3413	LR: 0.020000
Training Epoch: 26 [23552/47500]	Loss: 0.3480	LR: 0.020000
Training Epoch: 26 [23808/47500]	Loss: 0.3783	LR: 0.020000
Training Epoch: 26 [24064/47500]	Loss: 0.3900	LR: 0.020000
Training Epoch: 26 [24320/47500]	Loss: 0.3491	LR: 0.020000
Training Epoch: 26 [24576/47500]	Loss: 0.3720	LR: 0.020000
Training Epoch: 26 [24832/47500]	Loss: 0.4021	LR: 0.020000
Training Epoch: 26 [25088/47500]	Loss: 0.3239	LR: 0.020000
Training Epoch: 26 [25344/47500]	Loss: 0.3699	LR: 0.020000
Training Epoch: 26 [25600/47500]	Loss: 0.4539	LR: 0.020000
Training Epoch: 26 [25856/47500]	Loss: 0.3702	LR: 0.020000
Training Epoch: 26 [26112/47500]	Loss: 0.3687	LR: 0.020000
Training Epoch: 26 [26368/47500]	Loss: 0.4841	LR: 0.020000
Training Epoch: 26 [26624/47500]	Loss: 0.3389	LR: 0.020000
Training Epoch: 26 [26880/47500]	Loss: 0.3124	LR: 0.020000
Training Epoch: 26 [27136/47500]	Loss: 0.3110	LR: 0.020000
Training Epoch: 26 [27392/47500]	Loss: 0.3970	LR: 0.020000
Training Epoch: 26 [27648/47500]	Loss: 0.3933	LR: 0.020000
Training Epoch: 26 [27904/47500]	Loss: 0.4031	LR: 0.020000
Training Epoch: 26 [28160/47500]	Loss: 0.3830	LR: 0.020000
Training Epoch: 26 [28416/47500]	Loss: 0.3947	LR: 0.020000
Training Epoch: 26 [28672/47500]	Loss: 0.3818	LR: 0.020000
Training Epoch: 26 [28928/47500]	Loss: 0.3159	LR: 0.020000
Training Epoch: 26 [29184/47500]	Loss: 0.4462	LR: 0.020000
Training Epoch: 26 [29440/47500]	Loss: 0.4913	LR: 0.020000
Training Epoch: 26 [29696/47500]	Loss: 0.3547	LR: 0.020000
Training Epoch: 26 [29952/47500]	Loss: 0.4166	LR: 0.020000
Training Epoch: 26 [30208/47500]	Loss: 0.3616	LR: 0.020000
Training Epoch: 26 [30464/47500]	Loss: 0.3944	LR: 0.020000
Training Epoch: 26 [30720/47500]	Loss: 0.3530	LR: 0.020000
Training Epoch: 26 [30976/47500]	Loss: 0.3701	LR: 0.020000
Training Epoch: 26 [31232/47500]	Loss: 0.5022	LR: 0.020000
Training Epoch: 26 [31488/47500]	Loss: 0.4773	LR: 0.020000
Training Epoch: 26 [31744/47500]	Loss: 0.3897	LR: 0.020000
Training Epoch: 26 [32000/47500]	Loss: 0.3472	LR: 0.020000
Training Epoch: 26 [32256/47500]	Loss: 0.4027	LR: 0.020000
Training Epoch: 26 [32512/47500]	Loss: 0.3794	LR: 0.020000
Training Epoch: 26 [32768/47500]	Loss: 0.3689	LR: 0.020000
Training Epoch: 26 [33024/47500]	Loss: 0.3376	LR: 0.020000
Training Epoch: 26 [33280/47500]	Loss: 0.3157	LR: 0.020000
Training Epoch: 26 [33536/47500]	Loss: 0.4589	LR: 0.020000
Training Epoch: 26 [33792/47500]	Loss: 0.4273	LR: 0.020000
Training Epoch: 26 [34048/47500]	Loss: 0.4199	LR: 0.020000
Training Epoch: 26 [34304/47500]	Loss: 0.3858	LR: 0.020000
Training Epoch: 26 [34560/47500]	Loss: 0.3702	LR: 0.020000
Training Epoch: 26 [34816/47500]	Loss: 0.4212	LR: 0.020000
Training Epoch: 26 [35072/47500]	Loss: 0.4062	LR: 0.020000
Training Epoch: 26 [35328/47500]	Loss: 0.3922	LR: 0.020000
Training Epoch: 26 [35584/47500]	Loss: 0.3491	LR: 0.020000
Training Epoch: 26 [35840/47500]	Loss: 0.4004	LR: 0.020000
Training Epoch: 26 [36096/47500]	Loss: 0.4438	LR: 0.020000
Training Epoch: 26 [36352/47500]	Loss: 0.4020	LR: 0.020000
Training Epoch: 26 [36608/47500]	Loss: 0.4062	LR: 0.020000
Training Epoch: 26 [36864/47500]	Loss: 0.4364	LR: 0.020000
Training Epoch: 26 [37120/47500]	Loss: 0.4138	LR: 0.020000
Training Epoch: 26 [37376/47500]	Loss: 0.4539	LR: 0.020000
Training Epoch: 26 [37632/47500]	Loss: 0.4625	LR: 0.020000
Training Epoch: 26 [37888/47500]	Loss: 0.4255	LR: 0.020000
Training Epoch: 26 [38144/47500]	Loss: 0.3764	LR: 0.020000
Training Epoch: 26 [38400/47500]	Loss: 0.4246	LR: 0.020000
Training Epoch: 26 [38656/47500]	Loss: 0.3583	LR: 0.020000
Training Epoch: 26 [38912/47500]	Loss: 0.3571	LR: 0.020000
Training Epoch: 26 [39168/47500]	Loss: 0.3282	LR: 0.020000
Training Epoch: 26 [39424/47500]	Loss: 0.3902	LR: 0.020000
Training Epoch: 26 [39680/47500]	Loss: 0.3248	LR: 0.020000
Training Epoch: 26 [39936/47500]	Loss: 0.4286	LR: 0.020000
Training Epoch: 26 [40192/47500]	Loss: 0.3750	LR: 0.020000
Training Epoch: 26 [40448/47500]	Loss: 0.3280	LR: 0.020000
Training Epoch: 26 [40704/47500]	Loss: 0.4641	LR: 0.020000
Training Epoch: 26 [40960/47500]	Loss: 0.3695	LR: 0.020000
Training Epoch: 26 [41216/47500]	Loss: 0.4004	LR: 0.020000
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Training Epoch: 26 [41728/47500]	Loss: 0.4612	LR: 0.020000
Training Epoch: 26 [41984/47500]	Loss: 0.3295	LR: 0.020000
Training Epoch: 26 [42240/47500]	Loss: 0.4016	LR: 0.020000
Training Epoch: 26 [42496/47500]	Loss: 0.3834	LR: 0.020000
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Training Epoch: 26 [43264/47500]	Loss: 0.5324	LR: 0.020000
Training Epoch: 26 [43520/47500]	Loss: 0.3893	LR: 0.020000
Training Epoch: 26 [43776/47500]	Loss: 0.4796	LR: 0.020000
Training Epoch: 26 [44032/47500]	Loss: 0.4120	LR: 0.020000
Training Epoch: 26 [44288/47500]	Loss: 0.4271	LR: 0.020000
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Training Epoch: 26 [44800/47500]	Loss: 0.3543	LR: 0.020000
Training Epoch: 26 [45056/47500]	Loss: 0.4023	LR: 0.020000
Training Epoch: 26 [45312/47500]	Loss: 0.3971	LR: 0.020000
Training Epoch: 26 [45568/47500]	Loss: 0.3827	LR: 0.020000
Training Epoch: 26 [45824/47500]	Loss: 0.4111	LR: 0.020000
Training Epoch: 26 [46080/47500]	Loss: 0.3796	LR: 0.020000
Training Epoch: 26 [46336/47500]	Loss: 0.4223	LR: 0.020000
Training Epoch: 26 [46592/47500]	Loss: 0.4516	LR: 0.020000
Training Epoch: 26 [46848/47500]	Loss: 0.3810	LR: 0.020000
Training Epoch: 26 [47104/47500]	Loss: 0.4173	LR: 0.020000
Training Epoch: 26 [47360/47500]	Loss: 0.3583	LR: 0.020000
Training Epoch: 26 [47500/47500]	Loss: 0.2723	LR: 0.020000
Epoch 26 - Average Train Loss: 0.3760, Train Accuracy: 0.8748
Epoch 26 training time consumed: 28.52s
Evaluating Network.....
Test set: Epoch: 26, Average loss: 0.0033, Accuracy: 0.7595, Time consumed:0.94s
Training Epoch: 27 [256/47500]	Loss: 0.3010	LR: 0.020000
Training Epoch: 27 [512/47500]	Loss: 0.3297	LR: 0.020000
Training Epoch: 27 [768/47500]	Loss: 0.3201	LR: 0.020000
Training Epoch: 27 [1024/47500]	Loss: 0.3449	LR: 0.020000
Training Epoch: 27 [1280/47500]	Loss: 0.2952	LR: 0.020000
Training Epoch: 27 [1536/47500]	Loss: 0.2911	LR: 0.020000
Training Epoch: 27 [1792/47500]	Loss: 0.3862	LR: 0.020000
Training Epoch: 27 [2048/47500]	Loss: 0.3787	LR: 0.020000
Training Epoch: 27 [2304/47500]	Loss: 0.3534	LR: 0.020000
Training Epoch: 27 [2560/47500]	Loss: 0.3744	LR: 0.020000
Training Epoch: 27 [2816/47500]	Loss: 0.2964	LR: 0.020000
Training Epoch: 27 [3072/47500]	Loss: 0.2465	LR: 0.020000
Training Epoch: 27 [3328/47500]	Loss: 0.5121	LR: 0.020000
Training Epoch: 27 [3584/47500]	Loss: 0.2252	LR: 0.020000
Training Epoch: 27 [3840/47500]	Loss: 0.2645	LR: 0.020000
Training Epoch: 27 [4096/47500]	Loss: 0.2840	LR: 0.020000
Training Epoch: 27 [4352/47500]	Loss: 0.3339	LR: 0.020000
Training Epoch: 27 [4608/47500]	Loss: 0.3141	LR: 0.020000
Training Epoch: 27 [4864/47500]	Loss: 0.4095	LR: 0.020000
Training Epoch: 27 [5120/47500]	Loss: 0.3581	LR: 0.020000
Training Epoch: 27 [5376/47500]	Loss: 0.3078	LR: 0.020000
Training Epoch: 27 [5632/47500]	Loss: 0.3763	LR: 0.020000
Training Epoch: 27 [5888/47500]	Loss: 0.3668	LR: 0.020000
Training Epoch: 27 [6144/47500]	Loss: 0.2713	LR: 0.020000
Training Epoch: 27 [6400/47500]	Loss: 0.3733	LR: 0.020000
Training Epoch: 27 [6656/47500]	Loss: 0.3203	LR: 0.020000
Training Epoch: 27 [6912/47500]	Loss: 0.3892	LR: 0.020000
Training Epoch: 27 [7168/47500]	Loss: 0.3079	LR: 0.020000
Training Epoch: 27 [7424/47500]	Loss: 0.2896	LR: 0.020000
Training Epoch: 27 [7680/47500]	Loss: 0.3836	LR: 0.020000
Training Epoch: 27 [7936/47500]	Loss: 0.2781	LR: 0.020000
Training Epoch: 27 [8192/47500]	Loss: 0.2795	LR: 0.020000
Training Epoch: 27 [8448/47500]	Loss: 0.2770	LR: 0.020000
Training Epoch: 27 [8704/47500]	Loss: 0.3457	LR: 0.020000
Training Epoch: 27 [8960/47500]	Loss: 0.3719	LR: 0.020000
Training Epoch: 27 [9216/47500]	Loss: 0.2970	LR: 0.020000
Training Epoch: 27 [9472/47500]	Loss: 0.3396	LR: 0.020000
Training Epoch: 27 [9728/47500]	Loss: 0.3077	LR: 0.020000
Training Epoch: 27 [9984/47500]	Loss: 0.3387	LR: 0.020000
Training Epoch: 27 [10240/47500]	Loss: 0.3518	LR: 0.020000
Training Epoch: 27 [10496/47500]	Loss: 0.3510	LR: 0.020000
Training Epoch: 27 [10752/47500]	Loss: 0.3479	LR: 0.020000
Training Epoch: 27 [11008/47500]	Loss: 0.3502	LR: 0.020000
Training Epoch: 27 [11264/47500]	Loss: 0.3877	LR: 0.020000
Training Epoch: 27 [11520/47500]	Loss: 0.3444	LR: 0.020000
Training Epoch: 27 [11776/47500]	Loss: 0.3247	LR: 0.020000
Training Epoch: 27 [12032/47500]	Loss: 0.3132	LR: 0.020000
Training Epoch: 27 [12288/47500]	Loss: 0.3992	LR: 0.020000
Training Epoch: 27 [12544/47500]	Loss: 0.2950	LR: 0.020000
Training Epoch: 27 [12800/47500]	Loss: 0.3121	LR: 0.020000
Training Epoch: 27 [13056/47500]	Loss: 0.3719	LR: 0.020000
Training Epoch: 27 [13312/47500]	Loss: 0.3627	LR: 0.020000
Training Epoch: 27 [13568/47500]	Loss: 0.2931	LR: 0.020000
Training Epoch: 27 [13824/47500]	Loss: 0.3459	LR: 0.020000
Training Epoch: 27 [14080/47500]	Loss: 0.3561	LR: 0.020000
Training Epoch: 27 [14336/47500]	Loss: 0.4138	LR: 0.020000
Training Epoch: 27 [14592/47500]	Loss: 0.2655	LR: 0.020000
Training Epoch: 27 [14848/47500]	Loss: 0.4364	LR: 0.020000
Training Epoch: 27 [15104/47500]	Loss: 0.3939	LR: 0.020000
Training Epoch: 27 [15360/47500]	Loss: 0.3970	LR: 0.020000
Training Epoch: 27 [15616/47500]	Loss: 0.3011	LR: 0.020000
Training Epoch: 27 [15872/47500]	Loss: 0.3842	LR: 0.020000
Training Epoch: 27 [16128/47500]	Loss: 0.2716	LR: 0.020000
Training Epoch: 27 [16384/47500]	Loss: 0.3680	LR: 0.020000
Training Epoch: 27 [16640/47500]	Loss: 0.2785	LR: 0.020000
Training Epoch: 27 [16896/47500]	Loss: 0.3084	LR: 0.020000
Training Epoch: 27 [17152/47500]	Loss: 0.3159	LR: 0.020000
Training Epoch: 27 [17408/47500]	Loss: 0.2590	LR: 0.020000
Training Epoch: 27 [17664/47500]	Loss: 0.2953	LR: 0.020000
Training Epoch: 27 [17920/47500]	Loss: 0.3508	LR: 0.020000
Training Epoch: 27 [18176/47500]	Loss: 0.3681	LR: 0.020000
Training Epoch: 27 [18432/47500]	Loss: 0.3663	LR: 0.020000
Training Epoch: 27 [18688/47500]	Loss: 0.3238	LR: 0.020000
Training Epoch: 27 [18944/47500]	Loss: 0.3664	LR: 0.020000
Training Epoch: 27 [19200/47500]	Loss: 0.4409	LR: 0.020000
Training Epoch: 27 [19456/47500]	Loss: 0.2599	LR: 0.020000
Training Epoch: 27 [19712/47500]	Loss: 0.4067	LR: 0.020000
Training Epoch: 27 [19968/47500]	Loss: 0.3621	LR: 0.020000
Training Epoch: 27 [20224/47500]	Loss: 0.3212	LR: 0.020000
Training Epoch: 27 [20480/47500]	Loss: 0.2473	LR: 0.020000
Training Epoch: 27 [20736/47500]	Loss: 0.3516	LR: 0.020000
Training Epoch: 27 [20992/47500]	Loss: 0.3669	LR: 0.020000
Training Epoch: 27 [21248/47500]	Loss: 0.3339	LR: 0.020000
Training Epoch: 27 [21504/47500]	Loss: 0.3880	LR: 0.020000
Training Epoch: 27 [21760/47500]	Loss: 0.3241	LR: 0.020000
Training Epoch: 27 [22016/47500]	Loss: 0.3435	LR: 0.020000
Training Epoch: 27 [22272/47500]	Loss: 0.3459	LR: 0.020000
Training Epoch: 27 [22528/47500]	Loss: 0.3381	LR: 0.020000
Training Epoch: 27 [22784/47500]	Loss: 0.4717	LR: 0.020000
Training Epoch: 27 [23040/47500]	Loss: 0.3261	LR: 0.020000
Training Epoch: 27 [23296/47500]	Loss: 0.3850	LR: 0.020000
Training Epoch: 27 [23552/47500]	Loss: 0.3257	LR: 0.020000
Training Epoch: 27 [23808/47500]	Loss: 0.2778	LR: 0.020000
Training Epoch: 27 [24064/47500]	Loss: 0.3452	LR: 0.020000
Training Epoch: 27 [24320/47500]	Loss: 0.3364	LR: 0.020000
Training Epoch: 27 [24576/47500]	Loss: 0.3139	LR: 0.020000
Training Epoch: 27 [24832/47500]	Loss: 0.4185	LR: 0.020000
Training Epoch: 27 [25088/47500]	Loss: 0.3549	LR: 0.020000
Training Epoch: 27 [25344/47500]	Loss: 0.3755	LR: 0.020000
Training Epoch: 27 [25600/47500]	Loss: 0.3533	LR: 0.020000
Training Epoch: 27 [25856/47500]	Loss: 0.3367	LR: 0.020000
Training Epoch: 27 [26112/47500]	Loss: 0.4361	LR: 0.020000
Training Epoch: 27 [26368/47500]	Loss: 0.3757	LR: 0.020000
Training Epoch: 27 [26624/47500]	Loss: 0.4279	LR: 0.020000
Training Epoch: 27 [26880/47500]	Loss: 0.3288	LR: 0.020000
Training Epoch: 27 [27136/47500]	Loss: 0.4456	LR: 0.020000
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Training Epoch: 27 [27648/47500]	Loss: 0.2810	LR: 0.020000
Training Epoch: 27 [27904/47500]	Loss: 0.3123	LR: 0.020000
Training Epoch: 27 [28160/47500]	Loss: 0.3515	LR: 0.020000
Training Epoch: 27 [28416/47500]	Loss: 0.3519	LR: 0.020000
Training Epoch: 27 [28672/47500]	Loss: 0.4207	LR: 0.020000
Training Epoch: 27 [28928/47500]	Loss: 0.3261	LR: 0.020000
Training Epoch: 27 [29184/47500]	Loss: 0.3148	LR: 0.020000
Training Epoch: 27 [29440/47500]	Loss: 0.4762	LR: 0.020000
Training Epoch: 27 [29696/47500]	Loss: 0.3666	LR: 0.020000
Training Epoch: 27 [29952/47500]	Loss: 0.3959	LR: 0.020000
Training Epoch: 27 [30208/47500]	Loss: 0.5315	LR: 0.020000
Training Epoch: 27 [30464/47500]	Loss: 0.3573	LR: 0.020000
Training Epoch: 27 [30720/47500]	Loss: 0.3584	LR: 0.020000
Training Epoch: 27 [30976/47500]	Loss: 0.4051	LR: 0.020000
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Training Epoch: 27 [31488/47500]	Loss: 0.4178	LR: 0.020000
Training Epoch: 27 [31744/47500]	Loss: 0.3977	LR: 0.020000
Training Epoch: 27 [32000/47500]	Loss: 0.4213	LR: 0.020000
Training Epoch: 27 [32256/47500]	Loss: 0.3297	LR: 0.020000
Training Epoch: 27 [32512/47500]	Loss: 0.3999	LR: 0.020000
Training Epoch: 27 [32768/47500]	Loss: 0.2732	LR: 0.020000
Training Epoch: 27 [33024/47500]	Loss: 0.4357	LR: 0.020000
Training Epoch: 27 [33280/47500]	Loss: 0.4588	LR: 0.020000
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Training Epoch: 27 [34560/47500]	Loss: 0.3386	LR: 0.020000
Training Epoch: 27 [34816/47500]	Loss: 0.4169	LR: 0.020000
Training Epoch: 27 [35072/47500]	Loss: 0.3994	LR: 0.020000
Training Epoch: 27 [35328/47500]	Loss: 0.3799	LR: 0.020000
Training Epoch: 27 [35584/47500]	Loss: 0.3342	LR: 0.020000
Training Epoch: 27 [35840/47500]	Loss: 0.4304	LR: 0.020000
Training Epoch: 27 [36096/47500]	Loss: 0.3423	LR: 0.020000
Training Epoch: 27 [36352/47500]	Loss: 0.4382	LR: 0.020000
Training Epoch: 27 [36608/47500]	Loss: 0.4193	LR: 0.020000
Training Epoch: 27 [36864/47500]	Loss: 0.2961	LR: 0.020000
Training Epoch: 27 [37120/47500]	Loss: 0.3492	LR: 0.020000
Training Epoch: 27 [37376/47500]	Loss: 0.3616	LR: 0.020000
Training Epoch: 27 [37632/47500]	Loss: 0.3550	LR: 0.020000
Training Epoch: 27 [37888/47500]	Loss: 0.4181	LR: 0.020000
Training Epoch: 27 [38144/47500]	Loss: 0.2620	LR: 0.020000
Training Epoch: 27 [38400/47500]	Loss: 0.3933	LR: 0.020000
Training Epoch: 27 [38656/47500]	Loss: 0.2889	LR: 0.020000
Training Epoch: 27 [38912/47500]	Loss: 0.2884	LR: 0.020000
Training Epoch: 27 [39168/47500]	Loss: 0.4954	LR: 0.020000
Training Epoch: 27 [39424/47500]	Loss: 0.4527	LR: 0.020000
Training Epoch: 27 [39680/47500]	Loss: 0.4044	LR: 0.020000
Training Epoch: 27 [39936/47500]	Loss: 0.3114	LR: 0.020000
Training Epoch: 27 [40192/47500]	Loss: 0.2537	LR: 0.020000
Training Epoch: 27 [40448/47500]	Loss: 0.3229	LR: 0.020000
Training Epoch: 27 [40704/47500]	Loss: 0.3674	LR: 0.020000
Training Epoch: 27 [40960/47500]	Loss: 0.3190	LR: 0.020000
Training Epoch: 27 [41216/47500]	Loss: 0.3135	LR: 0.020000
Training Epoch: 27 [41472/47500]	Loss: 0.3236	LR: 0.020000
Training Epoch: 27 [41728/47500]	Loss: 0.3961	LR: 0.020000
Training Epoch: 27 [41984/47500]	Loss: 0.4384	LR: 0.020000
Training Epoch: 27 [42240/47500]	Loss: 0.3693	LR: 0.020000
Training Epoch: 27 [42496/47500]	Loss: 0.5260	LR: 0.020000
Training Epoch: 27 [42752/47500]	Loss: 0.2981	LR: 0.020000
Training Epoch: 27 [43008/47500]	Loss: 0.4203	LR: 0.020000
Training Epoch: 27 [43264/47500]	Loss: 0.3923	LR: 0.020000
Training Epoch: 27 [43520/47500]	Loss: 0.3949	LR: 0.020000
Training Epoch: 27 [43776/47500]	Loss: 0.4809	LR: 0.020000
Training Epoch: 27 [44032/47500]	Loss: 0.4451	LR: 0.020000
Training Epoch: 27 [44288/47500]	Loss: 0.3633	LR: 0.020000
Training Epoch: 27 [44544/47500]	Loss: 0.4193	LR: 0.020000
Training Epoch: 27 [44800/47500]	Loss: 0.5341	LR: 0.020000
Training Epoch: 27 [45056/47500]	Loss: 0.4581	LR: 0.020000
Training Epoch: 27 [45312/47500]	Loss: 0.3468	LR: 0.020000
Training Epoch: 27 [45568/47500]	Loss: 0.4496	LR: 0.020000
Training Epoch: 27 [45824/47500]	Loss: 0.4292	LR: 0.020000
Training Epoch: 27 [46080/47500]	Loss: 0.3614	LR: 0.020000
Training Epoch: 27 [46336/47500]	Loss: 0.3413	LR: 0.020000
Training Epoch: 27 [46592/47500]	Loss: 0.5489	LR: 0.020000
Training Epoch: 27 [46848/47500]	Loss: 0.3381	LR: 0.020000
Training Epoch: 27 [47104/47500]	Loss: 0.3884	LR: 0.020000
Training Epoch: 27 [47360/47500]	Loss: 0.4116	LR: 0.020000
Training Epoch: 27 [47500/47500]	Loss: 0.4727	LR: 0.020000
Epoch 27 - Average Train Loss: 0.3597, Train Accuracy: 0.8789
Epoch 27 training time consumed: 28.46s
Evaluating Network.....
Test set: Epoch: 27, Average loss: 0.0034, Accuracy: 0.7575, Time consumed:0.89s
Training Epoch: 28 [256/47500]	Loss: 0.3154	LR: 0.020000
Training Epoch: 28 [512/47500]	Loss: 0.2959	LR: 0.020000
Training Epoch: 28 [768/47500]	Loss: 0.3084	LR: 0.020000
Training Epoch: 28 [1024/47500]	Loss: 0.3271	LR: 0.020000
Training Epoch: 28 [1280/47500]	Loss: 0.3379	LR: 0.020000
Training Epoch: 28 [1536/47500]	Loss: 0.3964	LR: 0.020000
Training Epoch: 28 [1792/47500]	Loss: 0.3682	LR: 0.020000
Training Epoch: 28 [2048/47500]	Loss: 0.2921	LR: 0.020000
Training Epoch: 28 [2304/47500]	Loss: 0.3628	LR: 0.020000
Training Epoch: 28 [2560/47500]	Loss: 0.3121	LR: 0.020000
Training Epoch: 28 [2816/47500]	Loss: 0.2480	LR: 0.020000
Training Epoch: 28 [3072/47500]	Loss: 0.2884	LR: 0.020000
Training Epoch: 28 [3328/47500]	Loss: 0.3169	LR: 0.020000
Training Epoch: 28 [3584/47500]	Loss: 0.3483	LR: 0.020000
Training Epoch: 28 [3840/47500]	Loss: 0.3863	LR: 0.020000
Training Epoch: 28 [4096/47500]	Loss: 0.2751	LR: 0.020000
Training Epoch: 28 [4352/47500]	Loss: 0.3330	LR: 0.020000
Training Epoch: 28 [4608/47500]	Loss: 0.3366	LR: 0.020000
Training Epoch: 28 [4864/47500]	Loss: 0.3657	LR: 0.020000
Training Epoch: 28 [5120/47500]	Loss: 0.3252	LR: 0.020000
Training Epoch: 28 [5376/47500]	Loss: 0.3249	LR: 0.020000
Training Epoch: 28 [5632/47500]	Loss: 0.3793	LR: 0.020000
Training Epoch: 28 [5888/47500]	Loss: 0.2506	LR: 0.020000
Training Epoch: 28 [6144/47500]	Loss: 0.4855	LR: 0.020000
Training Epoch: 28 [6400/47500]	Loss: 0.3301	LR: 0.020000
Training Epoch: 28 [6656/47500]	Loss: 0.3157	LR: 0.020000
Training Epoch: 28 [6912/47500]	Loss: 0.3159	LR: 0.020000
Training Epoch: 28 [7168/47500]	Loss: 0.3100	LR: 0.020000
Training Epoch: 28 [7424/47500]	Loss: 0.2475	LR: 0.020000
Training Epoch: 28 [7680/47500]	Loss: 0.2665	LR: 0.020000
Training Epoch: 28 [7936/47500]	Loss: 0.3927	LR: 0.020000
Training Epoch: 28 [8192/47500]	Loss: 0.3209	LR: 0.020000
Training Epoch: 28 [8448/47500]	Loss: 0.3323	LR: 0.020000
Training Epoch: 28 [8704/47500]	Loss: 0.3641	LR: 0.020000
Training Epoch: 28 [8960/47500]	Loss: 0.2786	LR: 0.020000
Training Epoch: 28 [9216/47500]	Loss: 0.3703	LR: 0.020000
Training Epoch: 28 [9472/47500]	Loss: 0.3712	LR: 0.020000
Training Epoch: 28 [9728/47500]	Loss: 0.2255	LR: 0.020000
Training Epoch: 28 [9984/47500]	Loss: 0.4014	LR: 0.020000
Training Epoch: 28 [10240/47500]	Loss: 0.2999	LR: 0.020000
Training Epoch: 28 [10496/47500]	Loss: 0.3179	LR: 0.020000
Training Epoch: 28 [10752/47500]	Loss: 0.3215	LR: 0.020000
Training Epoch: 28 [11008/47500]	Loss: 0.3548	LR: 0.020000
Training Epoch: 28 [11264/47500]	Loss: 0.2752	LR: 0.020000
Training Epoch: 28 [11520/47500]	Loss: 0.3255	LR: 0.020000
Training Epoch: 28 [11776/47500]	Loss: 0.2862	LR: 0.020000
Training Epoch: 28 [12032/47500]	Loss: 0.3175	LR: 0.020000
Training Epoch: 28 [12288/47500]	Loss: 0.2837	LR: 0.020000
Training Epoch: 28 [12544/47500]	Loss: 0.3410	LR: 0.020000
Training Epoch: 28 [12800/47500]	Loss: 0.3311	LR: 0.020000
Training Epoch: 28 [13056/47500]	Loss: 0.3789	LR: 0.020000
Training Epoch: 28 [13312/47500]	Loss: 0.3067	LR: 0.020000
Training Epoch: 28 [13568/47500]	Loss: 0.3573	LR: 0.020000
Training Epoch: 28 [13824/47500]	Loss: 0.3846	LR: 0.020000
Training Epoch: 28 [14080/47500]	Loss: 0.3449	LR: 0.020000
Training Epoch: 28 [14336/47500]	Loss: 0.3299	LR: 0.020000
Training Epoch: 28 [14592/47500]	Loss: 0.2902	LR: 0.020000
Training Epoch: 28 [14848/47500]	Loss: 0.4512	LR: 0.020000
Training Epoch: 28 [15104/47500]	Loss: 0.3817	LR: 0.020000
Training Epoch: 28 [15360/47500]	Loss: 0.3374	LR: 0.020000
Training Epoch: 28 [15616/47500]	Loss: 0.3885	LR: 0.020000
Training Epoch: 28 [15872/47500]	Loss: 0.2506	LR: 0.020000
Training Epoch: 28 [16128/47500]	Loss: 0.3529	LR: 0.020000
Training Epoch: 28 [16384/47500]	Loss: 0.4399	LR: 0.020000
Training Epoch: 28 [16640/47500]	Loss: 0.3043	LR: 0.020000
Training Epoch: 28 [16896/47500]	Loss: 0.3426	LR: 0.020000
Training Epoch: 28 [17152/47500]	Loss: 0.3396	LR: 0.020000
Training Epoch: 28 [17408/47500]	Loss: 0.3943	LR: 0.020000
Training Epoch: 28 [17664/47500]	Loss: 0.3353	LR: 0.020000
Training Epoch: 28 [17920/47500]	Loss: 0.3014	LR: 0.020000
Training Epoch: 28 [18176/47500]	Loss: 0.3444	LR: 0.020000
Training Epoch: 28 [18432/47500]	Loss: 0.3465	LR: 0.020000
Training Epoch: 28 [18688/47500]	Loss: 0.4241	LR: 0.020000
Training Epoch: 28 [18944/47500]	Loss: 0.3586	LR: 0.020000
Training Epoch: 28 [19200/47500]	Loss: 0.3723	LR: 0.020000
Training Epoch: 28 [19456/47500]	Loss: 0.2487	LR: 0.020000
Training Epoch: 28 [19712/47500]	Loss: 0.3735	LR: 0.020000
Training Epoch: 28 [19968/47500]	Loss: 0.3826	LR: 0.020000
Training Epoch: 28 [20224/47500]	Loss: 0.3826	LR: 0.020000
Training Epoch: 28 [20480/47500]	Loss: 0.3609	LR: 0.020000
Training Epoch: 28 [20736/47500]	Loss: 0.4192	LR: 0.020000
Training Epoch: 28 [20992/47500]	Loss: 0.4066	LR: 0.020000
Training Epoch: 28 [21248/47500]	Loss: 0.3186	LR: 0.020000
Training Epoch: 28 [21504/47500]	Loss: 0.3541	LR: 0.020000
Training Epoch: 28 [21760/47500]	Loss: 0.4705	LR: 0.020000
Training Epoch: 28 [22016/47500]	Loss: 0.3080	LR: 0.020000
Training Epoch: 28 [22272/47500]	Loss: 0.3825	LR: 0.020000
Training Epoch: 28 [22528/47500]	Loss: 0.4169	LR: 0.020000
Training Epoch: 28 [22784/47500]	Loss: 0.3618	LR: 0.020000
Training Epoch: 28 [23040/47500]	Loss: 0.2889	LR: 0.020000
Training Epoch: 28 [23296/47500]	Loss: 0.3660	LR: 0.020000
Training Epoch: 28 [23552/47500]	Loss: 0.3605	LR: 0.020000
Training Epoch: 28 [23808/47500]	Loss: 0.3343	LR: 0.020000
Training Epoch: 28 [24064/47500]	Loss: 0.2773	LR: 0.020000
Training Epoch: 28 [24320/47500]	Loss: 0.3583	LR: 0.020000
Training Epoch: 28 [24576/47500]	Loss: 0.3680	LR: 0.020000
Training Epoch: 28 [24832/47500]	Loss: 0.3433	LR: 0.020000
Training Epoch: 28 [25088/47500]	Loss: 0.2914	LR: 0.020000
Training Epoch: 28 [25344/47500]	Loss: 0.3236	LR: 0.020000
Training Epoch: 28 [25600/47500]	Loss: 0.3173	LR: 0.020000
Training Epoch: 28 [25856/47500]	Loss: 0.4559	LR: 0.020000
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Training Epoch: 28 [27904/47500]	Loss: 0.3315	LR: 0.020000
Training Epoch: 28 [28160/47500]	Loss: 0.3806	LR: 0.020000
Training Epoch: 28 [28416/47500]	Loss: 0.3375	LR: 0.020000
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Training Epoch: 28 [29184/47500]	Loss: 0.4384	LR: 0.020000
Training Epoch: 28 [29440/47500]	Loss: 0.3764	LR: 0.020000
Training Epoch: 28 [29696/47500]	Loss: 0.3970	LR: 0.020000
Training Epoch: 28 [29952/47500]	Loss: 0.3523	LR: 0.020000
Training Epoch: 28 [30208/47500]	Loss: 0.4718	LR: 0.020000
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Training Epoch: 28 [30720/47500]	Loss: 0.3821	LR: 0.020000
Training Epoch: 28 [30976/47500]	Loss: 0.3554	LR: 0.020000
Training Epoch: 28 [31232/47500]	Loss: 0.4125	LR: 0.020000
Training Epoch: 28 [31488/47500]	Loss: 0.3336	LR: 0.020000
Training Epoch: 28 [31744/47500]	Loss: 0.3489	LR: 0.020000
Training Epoch: 28 [32000/47500]	Loss: 0.3721	LR: 0.020000
Training Epoch: 28 [32256/47500]	Loss: 0.3888	LR: 0.020000
Training Epoch: 28 [32512/47500]	Loss: 0.4398	LR: 0.020000
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Training Epoch: 28 [35584/47500]	Loss: 0.3194	LR: 0.020000
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Training Epoch: 28 [37120/47500]	Loss: 0.3919	LR: 0.020000
Training Epoch: 28 [37376/47500]	Loss: 0.3240	LR: 0.020000
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Training Epoch: 28 [39424/47500]	Loss: 0.3504	LR: 0.020000
Training Epoch: 28 [39680/47500]	Loss: 0.3327	LR: 0.020000
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Training Epoch: 28 [40448/47500]	Loss: 0.3439	LR: 0.020000
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Training Epoch: 28 [40960/47500]	Loss: 0.2722	LR: 0.020000
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Training Epoch: 28 [41472/47500]	Loss: 0.4079	LR: 0.020000
Training Epoch: 28 [41728/47500]	Loss: 0.3848	LR: 0.020000
Training Epoch: 28 [41984/47500]	Loss: 0.3687	LR: 0.020000
Training Epoch: 28 [42240/47500]	Loss: 0.4360	LR: 0.020000
Training Epoch: 28 [42496/47500]	Loss: 0.3284	LR: 0.020000
Training Epoch: 28 [42752/47500]	Loss: 0.4174	LR: 0.020000
Training Epoch: 28 [43008/47500]	Loss: 0.3482	LR: 0.020000
Training Epoch: 28 [43264/47500]	Loss: 0.4741	LR: 0.020000
Training Epoch: 28 [43520/47500]	Loss: 0.4298	LR: 0.020000
Training Epoch: 28 [43776/47500]	Loss: 0.4420	LR: 0.020000
Training Epoch: 28 [44032/47500]	Loss: 0.2622	LR: 0.020000
Training Epoch: 28 [44288/47500]	Loss: 0.3371	LR: 0.020000
Training Epoch: 28 [44544/47500]	Loss: 0.3508	LR: 0.020000
Training Epoch: 28 [44800/47500]	Loss: 0.2794	LR: 0.020000
Training Epoch: 28 [45056/47500]	Loss: 0.3477	LR: 0.020000
Training Epoch: 28 [45312/47500]	Loss: 0.3940	LR: 0.020000
Training Epoch: 28 [45568/47500]	Loss: 0.3695	LR: 0.020000
Training Epoch: 28 [45824/47500]	Loss: 0.4050	LR: 0.020000
Training Epoch: 28 [46080/47500]	Loss: 0.4549	LR: 0.020000
Training Epoch: 28 [46336/47500]	Loss: 0.4357	LR: 0.020000
Training Epoch: 28 [46592/47500]	Loss: 0.3905	LR: 0.020000
Training Epoch: 28 [46848/47500]	Loss: 0.3025	LR: 0.020000
Training Epoch: 28 [47104/47500]	Loss: 0.3201	LR: 0.020000
Training Epoch: 28 [47360/47500]	Loss: 0.4175	LR: 0.020000
Training Epoch: 28 [47500/47500]	Loss: 0.4047	LR: 0.020000
Epoch 28 - Average Train Loss: 0.3532, Train Accuracy: 0.8805
Epoch 28 training time consumed: 28.55s
Evaluating Network.....
Test set: Epoch: 28, Average loss: 0.0034, Accuracy: 0.7600, Time consumed:0.87s
Training Epoch: 29 [256/47500]	Loss: 0.3081	LR: 0.020000
Training Epoch: 29 [512/47500]	Loss: 0.3465	LR: 0.020000
Training Epoch: 29 [768/47500]	Loss: 0.2223	LR: 0.020000
Training Epoch: 29 [1024/47500]	Loss: 0.3136	LR: 0.020000
Training Epoch: 29 [1280/47500]	Loss: 0.4064	LR: 0.020000
Training Epoch: 29 [1536/47500]	Loss: 0.2408	LR: 0.020000
Training Epoch: 29 [1792/47500]	Loss: 0.2714	LR: 0.020000
Training Epoch: 29 [2048/47500]	Loss: 0.4342	LR: 0.020000
Training Epoch: 29 [2304/47500]	Loss: 0.3058	LR: 0.020000
Training Epoch: 29 [2560/47500]	Loss: 0.3015	LR: 0.020000
Training Epoch: 29 [2816/47500]	Loss: 0.3264	LR: 0.020000
Training Epoch: 29 [3072/47500]	Loss: 0.2864	LR: 0.020000
Training Epoch: 29 [3328/47500]	Loss: 0.2739	LR: 0.020000
Training Epoch: 29 [3584/47500]	Loss: 0.2467	LR: 0.020000
Training Epoch: 29 [3840/47500]	Loss: 0.3051	LR: 0.020000
Training Epoch: 29 [4096/47500]	Loss: 0.3501	LR: 0.020000
Training Epoch: 29 [4352/47500]	Loss: 0.2270	LR: 0.020000
Training Epoch: 29 [4608/47500]	Loss: 0.2983	LR: 0.020000
Training Epoch: 29 [4864/47500]	Loss: 0.3768	LR: 0.020000
Training Epoch: 29 [5120/47500]	Loss: 0.2777	LR: 0.020000
Training Epoch: 29 [5376/47500]	Loss: 0.2994	LR: 0.020000
Training Epoch: 29 [5632/47500]	Loss: 0.2050	LR: 0.020000
Training Epoch: 29 [5888/47500]	Loss: 0.3619	LR: 0.020000
Training Epoch: 29 [6144/47500]	Loss: 0.3479	LR: 0.020000
Training Epoch: 29 [6400/47500]	Loss: 0.3116	LR: 0.020000
Training Epoch: 29 [6656/47500]	Loss: 0.3681	LR: 0.020000
Training Epoch: 29 [6912/47500]	Loss: 0.2700	LR: 0.020000
Training Epoch: 29 [7168/47500]	Loss: 0.3162	LR: 0.020000
Training Epoch: 29 [7424/47500]	Loss: 0.2691	LR: 0.020000
Training Epoch: 29 [7680/47500]	Loss: 0.3331	LR: 0.020000
Training Epoch: 29 [7936/47500]	Loss: 0.3703	LR: 0.020000
Training Epoch: 29 [8192/47500]	Loss: 0.2818	LR: 0.020000
Training Epoch: 29 [8448/47500]	Loss: 0.2890	LR: 0.020000
Training Epoch: 29 [8704/47500]	Loss: 0.3094	LR: 0.020000
Training Epoch: 29 [8960/47500]	Loss: 0.2783	LR: 0.020000
Training Epoch: 29 [9216/47500]	Loss: 0.3439	LR: 0.020000
Training Epoch: 29 [9472/47500]	Loss: 0.3248	LR: 0.020000
Training Epoch: 29 [9728/47500]	Loss: 0.3131	LR: 0.020000
Training Epoch: 29 [9984/47500]	Loss: 0.3367	LR: 0.020000
Training Epoch: 29 [10240/47500]	Loss: 0.3267	LR: 0.020000
Training Epoch: 29 [10496/47500]	Loss: 0.3276	LR: 0.020000
Training Epoch: 29 [10752/47500]	Loss: 0.3643	LR: 0.020000
Training Epoch: 29 [11008/47500]	Loss: 0.3374	LR: 0.020000
Training Epoch: 29 [11264/47500]	Loss: 0.2836	LR: 0.020000
Training Epoch: 29 [11520/47500]	Loss: 0.3463	LR: 0.020000
Training Epoch: 29 [11776/47500]	Loss: 0.3236	LR: 0.020000
Training Epoch: 29 [12032/47500]	Loss: 0.3444	LR: 0.020000
Training Epoch: 29 [12288/47500]	Loss: 0.4285	LR: 0.020000
Training Epoch: 29 [12544/47500]	Loss: 0.2797	LR: 0.020000
Training Epoch: 29 [12800/47500]	Loss: 0.3166	LR: 0.020000
Training Epoch: 29 [13056/47500]	Loss: 0.3596	LR: 0.020000
Training Epoch: 29 [13312/47500]	Loss: 0.2477	LR: 0.020000
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Training Epoch: 29 [14080/47500]	Loss: 0.2667	LR: 0.020000
Training Epoch: 29 [14336/47500]	Loss: 0.3251	LR: 0.020000
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Training Epoch: 29 [14848/47500]	Loss: 0.2822	LR: 0.020000
Training Epoch: 29 [15104/47500]	Loss: 0.3405	LR: 0.020000
Training Epoch: 29 [15360/47500]	Loss: 0.3601	LR: 0.020000
Training Epoch: 29 [15616/47500]	Loss: 0.2957	LR: 0.020000
Training Epoch: 29 [15872/47500]	Loss: 0.2887	LR: 0.020000
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Training Epoch: 29 [16896/47500]	Loss: 0.3163	LR: 0.020000
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Training Epoch: 29 [18944/47500]	Loss: 0.3392	LR: 0.020000
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Training Epoch: 29 [19456/47500]	Loss: 0.2769	LR: 0.020000
Training Epoch: 29 [19712/47500]	Loss: 0.3375	LR: 0.020000
Training Epoch: 29 [19968/47500]	Loss: 0.3308	LR: 0.020000
Training Epoch: 29 [20224/47500]	Loss: 0.3549	LR: 0.020000
Training Epoch: 29 [20480/47500]	Loss: 0.3266	LR: 0.020000
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Training Epoch: 29 [22016/47500]	Loss: 0.2825	LR: 0.020000
Training Epoch: 29 [22272/47500]	Loss: 0.2703	LR: 0.020000
Training Epoch: 29 [22528/47500]	Loss: 0.3224	LR: 0.020000
Training Epoch: 29 [22784/47500]	Loss: 0.3473	LR: 0.020000
Training Epoch: 29 [23040/47500]	Loss: 0.2651	LR: 0.020000
Training Epoch: 29 [23296/47500]	Loss: 0.2848	LR: 0.020000
Training Epoch: 29 [23552/47500]	Loss: 0.3941	LR: 0.020000
Training Epoch: 29 [23808/47500]	Loss: 0.3998	LR: 0.020000
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Training Epoch: 29 [24576/47500]	Loss: 0.3669	LR: 0.020000
Training Epoch: 29 [24832/47500]	Loss: 0.3200	LR: 0.020000
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Training Epoch: 29 [25600/47500]	Loss: 0.2461	LR: 0.020000
Training Epoch: 29 [25856/47500]	Loss: 0.2810	LR: 0.020000
Training Epoch: 29 [26112/47500]	Loss: 0.3030	LR: 0.020000
Training Epoch: 29 [26368/47500]	Loss: 0.3864	LR: 0.020000
Training Epoch: 29 [26624/47500]	Loss: 0.2921	LR: 0.020000
Training Epoch: 29 [26880/47500]	Loss: 0.3314	LR: 0.020000
Training Epoch: 29 [27136/47500]	Loss: 0.2792	LR: 0.020000
Training Epoch: 29 [27392/47500]	Loss: 0.3564	LR: 0.020000
Training Epoch: 29 [27648/47500]	Loss: 0.4790	LR: 0.020000
Training Epoch: 29 [27904/47500]	Loss: 0.2922	LR: 0.020000
Training Epoch: 29 [28160/47500]	Loss: 0.5068	LR: 0.020000
Training Epoch: 29 [28416/47500]	Loss: 0.3269	LR: 0.020000
Training Epoch: 29 [28672/47500]	Loss: 0.3354	LR: 0.020000
Training Epoch: 29 [28928/47500]	Loss: 0.3112	LR: 0.020000
Training Epoch: 29 [29184/47500]	Loss: 0.3323	LR: 0.020000
Training Epoch: 29 [29440/47500]	Loss: 0.3357	LR: 0.020000
Training Epoch: 29 [29696/47500]	Loss: 0.2960	LR: 0.020000
Training Epoch: 29 [29952/47500]	Loss: 0.3857	LR: 0.020000
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Training Epoch: 29 [30464/47500]	Loss: 0.3813	LR: 0.020000
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Training Epoch: 29 [30976/47500]	Loss: 0.3156	LR: 0.020000
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Training Epoch: 29 [31744/47500]	Loss: 0.4021	LR: 0.020000
Training Epoch: 29 [32000/47500]	Loss: 0.3558	LR: 0.020000
Training Epoch: 29 [32256/47500]	Loss: 0.3829	LR: 0.020000
Training Epoch: 29 [32512/47500]	Loss: 0.3189	LR: 0.020000
Training Epoch: 29 [32768/47500]	Loss: 0.2833	LR: 0.020000
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Training Epoch: 29 [35584/47500]	Loss: 0.2572	LR: 0.020000
Training Epoch: 29 [35840/47500]	Loss: 0.3560	LR: 0.020000
Training Epoch: 29 [36096/47500]	Loss: 0.3915	LR: 0.020000
Training Epoch: 29 [36352/47500]	Loss: 0.4774	LR: 0.020000
Training Epoch: 29 [36608/47500]	Loss: 0.4475	LR: 0.020000
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Training Epoch: 29 [37120/47500]	Loss: 0.2880	LR: 0.020000
Training Epoch: 29 [37376/47500]	Loss: 0.3536	LR: 0.020000
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Training Epoch: 29 [37888/47500]	Loss: 0.3012	LR: 0.020000
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Training Epoch: 29 [39680/47500]	Loss: 0.3771	LR: 0.020000
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Training Epoch: 29 [40192/47500]	Loss: 0.2686	LR: 0.020000
Training Epoch: 29 [40448/47500]	Loss: 0.3558	LR: 0.020000
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Training Epoch: 29 [41728/47500]	Loss: 0.4533	LR: 0.020000
Training Epoch: 29 [41984/47500]	Loss: 0.3686	LR: 0.020000
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Training Epoch: 29 [42496/47500]	Loss: 0.4051	LR: 0.020000
Training Epoch: 29 [42752/47500]	Loss: 0.3732	LR: 0.020000
Training Epoch: 29 [43008/47500]	Loss: 0.3880	LR: 0.020000
Training Epoch: 29 [43264/47500]	Loss: 0.3186	LR: 0.020000
Training Epoch: 29 [43520/47500]	Loss: 0.3213	LR: 0.020000
Training Epoch: 29 [43776/47500]	Loss: 0.4062	LR: 0.020000
Training Epoch: 29 [44032/47500]	Loss: 0.4217	LR: 0.020000
Training Epoch: 29 [44288/47500]	Loss: 0.4192	LR: 0.020000
Training Epoch: 29 [44544/47500]	Loss: 0.3453	LR: 0.020000
Training Epoch: 29 [44800/47500]	Loss: 0.3858	LR: 0.020000
Training Epoch: 29 [45056/47500]	Loss: 0.4608	LR: 0.020000
Training Epoch: 29 [45312/47500]	Loss: 0.2890	LR: 0.020000
Training Epoch: 29 [45568/47500]	Loss: 0.2571	LR: 0.020000
Training Epoch: 29 [45824/47500]	Loss: 0.3957	LR: 0.020000
Training Epoch: 29 [46080/47500]	Loss: 0.3578	LR: 0.020000
Training Epoch: 29 [46336/47500]	Loss: 0.3784	LR: 0.020000
Training Epoch: 29 [46592/47500]	Loss: 0.3616	LR: 0.020000
Training Epoch: 29 [46848/47500]	Loss: 0.3256	LR: 0.020000
Training Epoch: 29 [47104/47500]	Loss: 0.2949	LR: 0.020000
Training Epoch: 29 [47360/47500]	Loss: 0.3757	LR: 0.020000
Training Epoch: 29 [47500/47500]	Loss: 0.3141	LR: 0.020000
Epoch 29 - Average Train Loss: 0.3365, Train Accuracy: 0.8869
Epoch 29 training time consumed: 28.54s
Evaluating Network.....
Test set: Epoch: 29, Average loss: 0.0033, Accuracy: 0.7693, Time consumed:0.91s
Training Epoch: 30 [256/47500]	Loss: 0.3085	LR: 0.004000
Training Epoch: 30 [512/47500]	Loss: 0.2723	LR: 0.004000
Training Epoch: 30 [768/47500]	Loss: 0.3265	LR: 0.004000
Training Epoch: 30 [1024/47500]	Loss: 0.3618	LR: 0.004000
Training Epoch: 30 [1280/47500]	Loss: 0.2630	LR: 0.004000
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Training Epoch: 30 [47500/47500]	Loss: 0.2187	LR: 0.004000
Epoch 30 - Average Train Loss: 0.2253, Train Accuracy: 0.9281
Epoch 30 training time consumed: 28.63s
Evaluating Network.....
Test set: Epoch: 30, Average loss: 0.0027, Accuracy: 0.8028, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_22h_57m_49s/ResNet18-Cifar20-seed10-ret50-30-best.pth
Training Epoch: 31 [256/47500]	Loss: 0.1711	LR: 0.004000
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Training Epoch: 31 [1536/47500]	Loss: 0.2329	LR: 0.004000
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Training Epoch: 31 [47360/47500]	Loss: 0.0952	LR: 0.004000
Training Epoch: 31 [47500/47500]	Loss: 0.2079	LR: 0.004000
Epoch 31 - Average Train Loss: 0.1795, Train Accuracy: 0.9446
Epoch 31 training time consumed: 28.43s
Evaluating Network.....
Test set: Epoch: 31, Average loss: 0.0027, Accuracy: 0.8065, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_22h_57m_49s/ResNet18-Cifar20-seed10-ret50-31-best.pth
Training Epoch: 32 [256/47500]	Loss: 0.1827	LR: 0.004000
Training Epoch: 32 [512/47500]	Loss: 0.1678	LR: 0.004000
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Training Epoch: 32 [47500/47500]	Loss: 0.1977	LR: 0.004000
Epoch 32 - Average Train Loss: 0.1605, Train Accuracy: 0.9515
Epoch 32 training time consumed: 28.45s
Evaluating Network.....
Test set: Epoch: 32, Average loss: 0.0027, Accuracy: 0.8079, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_22h_57m_49s/ResNet18-Cifar20-seed10-ret50-32-best.pth
Training Epoch: 33 [256/47500]	Loss: 0.1375	LR: 0.004000
Training Epoch: 33 [512/47500]	Loss: 0.1273	LR: 0.004000
Training Epoch: 33 [768/47500]	Loss: 0.1083	LR: 0.004000
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Training Epoch: 33 [3840/47500]	Loss: 0.1622	LR: 0.004000
Training Epoch: 33 [4096/47500]	Loss: 0.1372	LR: 0.004000
Training Epoch: 33 [4352/47500]	Loss: 0.1009	LR: 0.004000
Training Epoch: 33 [4608/47500]	Loss: 0.1540	LR: 0.004000
Training Epoch: 33 [4864/47500]	Loss: 0.1335	LR: 0.004000
Training Epoch: 33 [5120/47500]	Loss: 0.1696	LR: 0.004000
Training Epoch: 33 [5376/47500]	Loss: 0.1344	LR: 0.004000
Training Epoch: 33 [5632/47500]	Loss: 0.1309	LR: 0.004000
Training Epoch: 33 [5888/47500]	Loss: 0.1411	LR: 0.004000
Training Epoch: 33 [6144/47500]	Loss: 0.0888	LR: 0.004000
Training Epoch: 33 [6400/47500]	Loss: 0.1754	LR: 0.004000
Training Epoch: 33 [6656/47500]	Loss: 0.2340	LR: 0.004000
Training Epoch: 33 [6912/47500]	Loss: 0.1520	LR: 0.004000
Training Epoch: 33 [7168/47500]	Loss: 0.1628	LR: 0.004000
Training Epoch: 33 [7424/47500]	Loss: 0.1331	LR: 0.004000
Training Epoch: 33 [7680/47500]	Loss: 0.1114	LR: 0.004000
Training Epoch: 33 [7936/47500]	Loss: 0.1860	LR: 0.004000
Training Epoch: 33 [8192/47500]	Loss: 0.1114	LR: 0.004000
Training Epoch: 33 [8448/47500]	Loss: 0.1431	LR: 0.004000
Training Epoch: 33 [8704/47500]	Loss: 0.1588	LR: 0.004000
Training Epoch: 33 [8960/47500]	Loss: 0.1953	LR: 0.004000
Training Epoch: 33 [9216/47500]	Loss: 0.1822	LR: 0.004000
Training Epoch: 33 [9472/47500]	Loss: 0.1429	LR: 0.004000
Training Epoch: 33 [9728/47500]	Loss: 0.1279	LR: 0.004000
Training Epoch: 33 [9984/47500]	Loss: 0.1237	LR: 0.004000
Training Epoch: 33 [10240/47500]	Loss: 0.0863	LR: 0.004000
Training Epoch: 33 [10496/47500]	Loss: 0.1230	LR: 0.004000
Training Epoch: 33 [10752/47500]	Loss: 0.1033	LR: 0.004000
Training Epoch: 33 [11008/47500]	Loss: 0.1107	LR: 0.004000
Training Epoch: 33 [11264/47500]	Loss: 0.1742	LR: 0.004000
Training Epoch: 33 [11520/47500]	Loss: 0.1514	LR: 0.004000
Training Epoch: 33 [11776/47500]	Loss: 0.1774	LR: 0.004000
Training Epoch: 33 [12032/47500]	Loss: 0.1425	LR: 0.004000
Training Epoch: 33 [12288/47500]	Loss: 0.1741	LR: 0.004000
Training Epoch: 33 [12544/47500]	Loss: 0.1536	LR: 0.004000
Training Epoch: 33 [12800/47500]	Loss: 0.1548	LR: 0.004000
Training Epoch: 33 [13056/47500]	Loss: 0.1289	LR: 0.004000
Training Epoch: 33 [13312/47500]	Loss: 0.1472	LR: 0.004000
Training Epoch: 33 [13568/47500]	Loss: 0.1468	LR: 0.004000
Training Epoch: 33 [13824/47500]	Loss: 0.1475	LR: 0.004000
Training Epoch: 33 [14080/47500]	Loss: 0.2020	LR: 0.004000
Training Epoch: 33 [14336/47500]	Loss: 0.1363	LR: 0.004000
Training Epoch: 33 [14592/47500]	Loss: 0.1075	LR: 0.004000
Training Epoch: 33 [14848/47500]	Loss: 0.1505	LR: 0.004000
Training Epoch: 33 [15104/47500]	Loss: 0.1384	LR: 0.004000
Training Epoch: 33 [15360/47500]	Loss: 0.1330	LR: 0.004000
Training Epoch: 33 [15616/47500]	Loss: 0.1591	LR: 0.004000
Training Epoch: 33 [15872/47500]	Loss: 0.1547	LR: 0.004000
Training Epoch: 33 [16128/47500]	Loss: 0.1503	LR: 0.004000
Training Epoch: 33 [16384/47500]	Loss: 0.1685	LR: 0.004000
Training Epoch: 33 [16640/47500]	Loss: 0.1349	LR: 0.004000
Training Epoch: 33 [16896/47500]	Loss: 0.1468	LR: 0.004000
Training Epoch: 33 [17152/47500]	Loss: 0.1441	LR: 0.004000
Training Epoch: 33 [17408/47500]	Loss: 0.1909	LR: 0.004000
Training Epoch: 33 [17664/47500]	Loss: 0.1465	LR: 0.004000
Training Epoch: 33 [17920/47500]	Loss: 0.1052	LR: 0.004000
Training Epoch: 33 [18176/47500]	Loss: 0.1515	LR: 0.004000
Training Epoch: 33 [18432/47500]	Loss: 0.1088	LR: 0.004000
Training Epoch: 33 [18688/47500]	Loss: 0.1543	LR: 0.004000
Training Epoch: 33 [18944/47500]	Loss: 0.1672	LR: 0.004000
Training Epoch: 33 [19200/47500]	Loss: 0.1359	LR: 0.004000
Training Epoch: 33 [19456/47500]	Loss: 0.2101	LR: 0.004000
Training Epoch: 33 [19712/47500]	Loss: 0.1540	LR: 0.004000
Training Epoch: 33 [19968/47500]	Loss: 0.1732	LR: 0.004000
Training Epoch: 33 [20224/47500]	Loss: 0.1737	LR: 0.004000
Training Epoch: 33 [20480/47500]	Loss: 0.1237	LR: 0.004000
Training Epoch: 33 [20736/47500]	Loss: 0.1881	LR: 0.004000
Training Epoch: 33 [20992/47500]	Loss: 0.1645	LR: 0.004000
Training Epoch: 33 [21248/47500]	Loss: 0.1216	LR: 0.004000
Training Epoch: 33 [21504/47500]	Loss: 0.1910	LR: 0.004000
Training Epoch: 33 [21760/47500]	Loss: 0.1438	LR: 0.004000
Training Epoch: 33 [22016/47500]	Loss: 0.1059	LR: 0.004000
Training Epoch: 33 [22272/47500]	Loss: 0.1585	LR: 0.004000
Training Epoch: 33 [22528/47500]	Loss: 0.1427	LR: 0.004000
Training Epoch: 33 [22784/47500]	Loss: 0.1664	LR: 0.004000
Training Epoch: 33 [23040/47500]	Loss: 0.1278	LR: 0.004000
Training Epoch: 33 [23296/47500]	Loss: 0.1312	LR: 0.004000
Training Epoch: 33 [23552/47500]	Loss: 0.2051	LR: 0.004000
Training Epoch: 33 [23808/47500]	Loss: 0.1736	LR: 0.004000
Training Epoch: 33 [24064/47500]	Loss: 0.1771	LR: 0.004000
Training Epoch: 33 [24320/47500]	Loss: 0.1571	LR: 0.004000
Training Epoch: 33 [24576/47500]	Loss: 0.1682	LR: 0.004000
Training Epoch: 33 [24832/47500]	Loss: 0.1334	LR: 0.004000
Training Epoch: 33 [25088/47500]	Loss: 0.1590	LR: 0.004000
Training Epoch: 33 [25344/47500]	Loss: 0.1754	LR: 0.004000
Training Epoch: 33 [25600/47500]	Loss: 0.1110	LR: 0.004000
Training Epoch: 33 [25856/47500]	Loss: 0.1086	LR: 0.004000
Training Epoch: 33 [26112/47500]	Loss: 0.1047	LR: 0.004000
Training Epoch: 33 [26368/47500]	Loss: 0.1521	LR: 0.004000
Training Epoch: 33 [26624/47500]	Loss: 0.1339	LR: 0.004000
Training Epoch: 33 [26880/47500]	Loss: 0.1377	LR: 0.004000
Training Epoch: 33 [27136/47500]	Loss: 0.1560	LR: 0.004000
Training Epoch: 33 [27392/47500]	Loss: 0.1332	LR: 0.004000
Training Epoch: 33 [27648/47500]	Loss: 0.1386	LR: 0.004000
Training Epoch: 33 [27904/47500]	Loss: 0.1793	LR: 0.004000
Training Epoch: 33 [28160/47500]	Loss: 0.1457	LR: 0.004000
Training Epoch: 33 [28416/47500]	Loss: 0.1377	LR: 0.004000
Training Epoch: 33 [28672/47500]	Loss: 0.1535	LR: 0.004000
Training Epoch: 33 [28928/47500]	Loss: 0.1353	LR: 0.004000
Training Epoch: 33 [29184/47500]	Loss: 0.1228	LR: 0.004000
Training Epoch: 33 [29440/47500]	Loss: 0.1767	LR: 0.004000
Training Epoch: 33 [29696/47500]	Loss: 0.1639	LR: 0.004000
Training Epoch: 33 [29952/47500]	Loss: 0.1123	LR: 0.004000
Training Epoch: 33 [30208/47500]	Loss: 0.1091	LR: 0.004000
Training Epoch: 33 [30464/47500]	Loss: 0.1174	LR: 0.004000
Training Epoch: 33 [30720/47500]	Loss: 0.1214	LR: 0.004000
Training Epoch: 33 [30976/47500]	Loss: 0.1682	LR: 0.004000
Training Epoch: 33 [31232/47500]	Loss: 0.1425	LR: 0.004000
Training Epoch: 33 [31488/47500]	Loss: 0.1900	LR: 0.004000
Training Epoch: 33 [31744/47500]	Loss: 0.1474	LR: 0.004000
Training Epoch: 33 [32000/47500]	Loss: 0.1877	LR: 0.004000
Training Epoch: 33 [32256/47500]	Loss: 0.1846	LR: 0.004000
Training Epoch: 33 [32512/47500]	Loss: 0.1034	LR: 0.004000
Training Epoch: 33 [32768/47500]	Loss: 0.1624	LR: 0.004000
Training Epoch: 33 [33024/47500]	Loss: 0.1585	LR: 0.004000
Training Epoch: 33 [33280/47500]	Loss: 0.1044	LR: 0.004000
Training Epoch: 33 [33536/47500]	Loss: 0.1007	LR: 0.004000
Training Epoch: 33 [33792/47500]	Loss: 0.1341	LR: 0.004000
Training Epoch: 33 [34048/47500]	Loss: 0.1371	LR: 0.004000
Training Epoch: 33 [34304/47500]	Loss: 0.1412	LR: 0.004000
Training Epoch: 33 [34560/47500]	Loss: 0.1358	LR: 0.004000
Training Epoch: 33 [34816/47500]	Loss: 0.1437	LR: 0.004000
Training Epoch: 33 [35072/47500]	Loss: 0.1569	LR: 0.004000
Training Epoch: 33 [35328/47500]	Loss: 0.1257	LR: 0.004000
Training Epoch: 33 [35584/47500]	Loss: 0.1849	LR: 0.004000
Training Epoch: 33 [35840/47500]	Loss: 0.1265	LR: 0.004000
Training Epoch: 33 [36096/47500]	Loss: 0.0976	LR: 0.004000
Training Epoch: 33 [36352/47500]	Loss: 0.1731	LR: 0.004000
Training Epoch: 33 [36608/47500]	Loss: 0.1292	LR: 0.004000
Training Epoch: 33 [36864/47500]	Loss: 0.1345	LR: 0.004000
Training Epoch: 33 [37120/47500]	Loss: 0.1824	LR: 0.004000
Training Epoch: 33 [37376/47500]	Loss: 0.1339	LR: 0.004000
Training Epoch: 33 [37632/47500]	Loss: 0.1157	LR: 0.004000
Training Epoch: 33 [37888/47500]	Loss: 0.1467	LR: 0.004000
Training Epoch: 33 [38144/47500]	Loss: 0.1207	LR: 0.004000
Training Epoch: 33 [38400/47500]	Loss: 0.2582	LR: 0.004000
Training Epoch: 33 [38656/47500]	Loss: 0.1406	LR: 0.004000
Training Epoch: 33 [38912/47500]	Loss: 0.1614	LR: 0.004000
Training Epoch: 33 [39168/47500]	Loss: 0.1790	LR: 0.004000
Training Epoch: 33 [39424/47500]	Loss: 0.1259	LR: 0.004000
Training Epoch: 33 [39680/47500]	Loss: 0.1784	LR: 0.004000
Training Epoch: 33 [39936/47500]	Loss: 0.1535	LR: 0.004000
Training Epoch: 33 [40192/47500]	Loss: 0.1303	LR: 0.004000
Training Epoch: 33 [40448/47500]	Loss: 0.1468	LR: 0.004000
Training Epoch: 33 [40704/47500]	Loss: 0.1233	LR: 0.004000
Training Epoch: 33 [40960/47500]	Loss: 0.1302	LR: 0.004000
Training Epoch: 33 [41216/47500]	Loss: 0.1746	LR: 0.004000
Training Epoch: 33 [41472/47500]	Loss: 0.1571	LR: 0.004000
Training Epoch: 33 [41728/47500]	Loss: 0.1848	LR: 0.004000
Training Epoch: 33 [41984/47500]	Loss: 0.1780	LR: 0.004000
Training Epoch: 33 [42240/47500]	Loss: 0.2087	LR: 0.004000
Training Epoch: 33 [42496/47500]	Loss: 0.1768	LR: 0.004000
Training Epoch: 33 [42752/47500]	Loss: 0.1945	LR: 0.004000
Training Epoch: 33 [43008/47500]	Loss: 0.1795	LR: 0.004000
Training Epoch: 33 [43264/47500]	Loss: 0.1292	LR: 0.004000
Training Epoch: 33 [43520/47500]	Loss: 0.1542	LR: 0.004000
Training Epoch: 33 [43776/47500]	Loss: 0.1475	LR: 0.004000
Training Epoch: 33 [44032/47500]	Loss: 0.1671	LR: 0.004000
Training Epoch: 33 [44288/47500]	Loss: 0.1982	LR: 0.004000
Training Epoch: 33 [44544/47500]	Loss: 0.1674	LR: 0.004000
Training Epoch: 33 [44800/47500]	Loss: 0.1485	LR: 0.004000
Training Epoch: 33 [45056/47500]	Loss: 0.1429	LR: 0.004000
Training Epoch: 33 [45312/47500]	Loss: 0.1901	LR: 0.004000
Training Epoch: 33 [45568/47500]	Loss: 0.1508	LR: 0.004000
Training Epoch: 33 [45824/47500]	Loss: 0.1746	LR: 0.004000
Training Epoch: 33 [46080/47500]	Loss: 0.1584	LR: 0.004000
Training Epoch: 33 [46336/47500]	Loss: 0.1752	LR: 0.004000
Training Epoch: 33 [46592/47500]	Loss: 0.1457	LR: 0.004000
Training Epoch: 33 [46848/47500]	Loss: 0.1644	LR: 0.004000
Training Epoch: 33 [47104/47500]	Loss: 0.1963	LR: 0.004000
Training Epoch: 33 [47360/47500]	Loss: 0.1183	LR: 0.004000
Training Epoch: 33 [47500/47500]	Loss: 0.2140	LR: 0.004000
Epoch 33 - Average Train Loss: 0.1493, Train Accuracy: 0.9546
Epoch 33 training time consumed: 28.42s
Evaluating Network.....
Test set: Epoch: 33, Average loss: 0.0028, Accuracy: 0.8062, Time consumed:1.03s
Training Epoch: 34 [256/47500]	Loss: 0.1119	LR: 0.004000
Training Epoch: 34 [512/47500]	Loss: 0.1578	LR: 0.004000
Training Epoch: 34 [768/47500]	Loss: 0.1139	LR: 0.004000
Training Epoch: 34 [1024/47500]	Loss: 0.1308	LR: 0.004000
Training Epoch: 34 [1280/47500]	Loss: 0.1410	LR: 0.004000
Training Epoch: 34 [1536/47500]	Loss: 0.1576	LR: 0.004000
Training Epoch: 34 [1792/47500]	Loss: 0.1652	LR: 0.004000
Training Epoch: 34 [2048/47500]	Loss: 0.1457	LR: 0.004000
Training Epoch: 34 [2304/47500]	Loss: 0.1797	LR: 0.004000
Training Epoch: 34 [2560/47500]	Loss: 0.1281	LR: 0.004000
Training Epoch: 34 [2816/47500]	Loss: 0.1177	LR: 0.004000
Training Epoch: 34 [3072/47500]	Loss: 0.1330	LR: 0.004000
Training Epoch: 34 [3328/47500]	Loss: 0.1452	LR: 0.004000
Training Epoch: 34 [3584/47500]	Loss: 0.1625	LR: 0.004000
Training Epoch: 34 [3840/47500]	Loss: 0.1316	LR: 0.004000
Training Epoch: 34 [4096/47500]	Loss: 0.1948	LR: 0.004000
Training Epoch: 34 [4352/47500]	Loss: 0.1399	LR: 0.004000
Training Epoch: 34 [4608/47500]	Loss: 0.1300	LR: 0.004000
Training Epoch: 34 [4864/47500]	Loss: 0.0964	LR: 0.004000
Training Epoch: 34 [5120/47500]	Loss: 0.1418	LR: 0.004000
Training Epoch: 34 [5376/47500]	Loss: 0.1030	LR: 0.004000
Training Epoch: 34 [5632/47500]	Loss: 0.1330	LR: 0.004000
Training Epoch: 34 [5888/47500]	Loss: 0.1595	LR: 0.004000
Training Epoch: 34 [6144/47500]	Loss: 0.1024	LR: 0.004000
Training Epoch: 34 [6400/47500]	Loss: 0.1481	LR: 0.004000
Training Epoch: 34 [6656/47500]	Loss: 0.1491	LR: 0.004000
Training Epoch: 34 [6912/47500]	Loss: 0.1023	LR: 0.004000
Training Epoch: 34 [7168/47500]	Loss: 0.1305	LR: 0.004000
Training Epoch: 34 [7424/47500]	Loss: 0.1410	LR: 0.004000
Training Epoch: 34 [7680/47500]	Loss: 0.1390	LR: 0.004000
Training Epoch: 34 [7936/47500]	Loss: 0.1246	LR: 0.004000
Training Epoch: 34 [8192/47500]	Loss: 0.1380	LR: 0.004000
Training Epoch: 34 [8448/47500]	Loss: 0.1810	LR: 0.004000
Training Epoch: 34 [8704/47500]	Loss: 0.1295	LR: 0.004000
Training Epoch: 34 [8960/47500]	Loss: 0.1762	LR: 0.004000
Training Epoch: 34 [9216/47500]	Loss: 0.1660	LR: 0.004000
Training Epoch: 34 [9472/47500]	Loss: 0.1893	LR: 0.004000
Training Epoch: 34 [9728/47500]	Loss: 0.0936	LR: 0.004000
Training Epoch: 34 [9984/47500]	Loss: 0.1475	LR: 0.004000
Training Epoch: 34 [10240/47500]	Loss: 0.0950	LR: 0.004000
Training Epoch: 34 [10496/47500]	Loss: 0.1276	LR: 0.004000
Training Epoch: 34 [10752/47500]	Loss: 0.0925	LR: 0.004000
Training Epoch: 34 [11008/47500]	Loss: 0.1907	LR: 0.004000
Training Epoch: 34 [11264/47500]	Loss: 0.1444	LR: 0.004000
Training Epoch: 34 [11520/47500]	Loss: 0.1528	LR: 0.004000
Training Epoch: 34 [11776/47500]	Loss: 0.1911	LR: 0.004000
Training Epoch: 34 [12032/47500]	Loss: 0.1449	LR: 0.004000
Training Epoch: 34 [12288/47500]	Loss: 0.1549	LR: 0.004000
Training Epoch: 34 [12544/47500]	Loss: 0.1846	LR: 0.004000
Training Epoch: 34 [12800/47500]	Loss: 0.1420	LR: 0.004000
Training Epoch: 34 [13056/47500]	Loss: 0.1367	LR: 0.004000
Training Epoch: 34 [13312/47500]	Loss: 0.1459	LR: 0.004000
Training Epoch: 34 [13568/47500]	Loss: 0.1519	LR: 0.004000
Training Epoch: 34 [13824/47500]	Loss: 0.1647	LR: 0.004000
Training Epoch: 34 [14080/47500]	Loss: 0.0777	LR: 0.004000
Training Epoch: 34 [14336/47500]	Loss: 0.1174	LR: 0.004000
Training Epoch: 34 [14592/47500]	Loss: 0.1590	LR: 0.004000
Training Epoch: 34 [14848/47500]	Loss: 0.1287	LR: 0.004000
Training Epoch: 34 [15104/47500]	Loss: 0.1475	LR: 0.004000
Training Epoch: 34 [15360/47500]	Loss: 0.1596	LR: 0.004000
Training Epoch: 34 [15616/47500]	Loss: 0.1902	LR: 0.004000
Training Epoch: 34 [15872/47500]	Loss: 0.0869	LR: 0.004000
Training Epoch: 34 [16128/47500]	Loss: 0.1189	LR: 0.004000
Training Epoch: 34 [16384/47500]	Loss: 0.0929	LR: 0.004000
Training Epoch: 34 [16640/47500]	Loss: 0.1084	LR: 0.004000
Training Epoch: 34 [16896/47500]	Loss: 0.1296	LR: 0.004000
Training Epoch: 34 [17152/47500]	Loss: 0.1365	LR: 0.004000
Training Epoch: 34 [17408/47500]	Loss: 0.1303	LR: 0.004000
Training Epoch: 34 [17664/47500]	Loss: 0.1249	LR: 0.004000
Training Epoch: 34 [17920/47500]	Loss: 0.1395	LR: 0.004000
Training Epoch: 34 [18176/47500]	Loss: 0.1708	LR: 0.004000
Training Epoch: 34 [18432/47500]	Loss: 0.1219	LR: 0.004000
Training Epoch: 34 [18688/47500]	Loss: 0.1325	LR: 0.004000
Training Epoch: 34 [18944/47500]	Loss: 0.1335	LR: 0.004000
Training Epoch: 34 [19200/47500]	Loss: 0.2103	LR: 0.004000
Training Epoch: 34 [19456/47500]	Loss: 0.1674	LR: 0.004000
Training Epoch: 34 [19712/47500]	Loss: 0.1545	LR: 0.004000
Training Epoch: 34 [19968/47500]	Loss: 0.1523	LR: 0.004000
Training Epoch: 34 [20224/47500]	Loss: 0.1595	LR: 0.004000
Training Epoch: 34 [20480/47500]	Loss: 0.1694	LR: 0.004000
Training Epoch: 34 [20736/47500]	Loss: 0.1956	LR: 0.004000
Training Epoch: 34 [20992/47500]	Loss: 0.1269	LR: 0.004000
Training Epoch: 34 [21248/47500]	Loss: 0.1395	LR: 0.004000
Training Epoch: 34 [21504/47500]	Loss: 0.1283	LR: 0.004000
Training Epoch: 34 [21760/47500]	Loss: 0.1090	LR: 0.004000
Training Epoch: 34 [22016/47500]	Loss: 0.1072	LR: 0.004000
Training Epoch: 34 [22272/47500]	Loss: 0.1307	LR: 0.004000
Training Epoch: 34 [22528/47500]	Loss: 0.1495	LR: 0.004000
Training Epoch: 34 [22784/47500]	Loss: 0.1221	LR: 0.004000
Training Epoch: 34 [23040/47500]	Loss: 0.1388	LR: 0.004000
Training Epoch: 34 [23296/47500]	Loss: 0.1415	LR: 0.004000
Training Epoch: 34 [23552/47500]	Loss: 0.1402	LR: 0.004000
Training Epoch: 34 [23808/47500]	Loss: 0.1576	LR: 0.004000
Training Epoch: 34 [24064/47500]	Loss: 0.1096	LR: 0.004000
Training Epoch: 34 [24320/47500]	Loss: 0.1450	LR: 0.004000
Training Epoch: 34 [24576/47500]	Loss: 0.1366	LR: 0.004000
Training Epoch: 34 [24832/47500]	Loss: 0.1957	LR: 0.004000
Training Epoch: 34 [25088/47500]	Loss: 0.0931	LR: 0.004000
Training Epoch: 34 [25344/47500]	Loss: 0.1230	LR: 0.004000
Training Epoch: 34 [25600/47500]	Loss: 0.1078	LR: 0.004000
Training Epoch: 34 [25856/47500]	Loss: 0.1135	LR: 0.004000
Training Epoch: 34 [26112/47500]	Loss: 0.0923	LR: 0.004000
Training Epoch: 34 [26368/47500]	Loss: 0.1308	LR: 0.004000
Training Epoch: 34 [26624/47500]	Loss: 0.1504	LR: 0.004000
Training Epoch: 34 [26880/47500]	Loss: 0.0849	LR: 0.004000
Training Epoch: 34 [27136/47500]	Loss: 0.1145	LR: 0.004000
Training Epoch: 34 [27392/47500]	Loss: 0.1529	LR: 0.004000
Training Epoch: 34 [27648/47500]	Loss: 0.1516	LR: 0.004000
Training Epoch: 34 [27904/47500]	Loss: 0.1638	LR: 0.004000
Training Epoch: 34 [28160/47500]	Loss: 0.1276	LR: 0.004000
Training Epoch: 34 [28416/47500]	Loss: 0.1325	LR: 0.004000
Training Epoch: 34 [28672/47500]	Loss: 0.1603	LR: 0.004000
Training Epoch: 34 [28928/47500]	Loss: 0.1552	LR: 0.004000
Training Epoch: 34 [29184/47500]	Loss: 0.0963	LR: 0.004000
Training Epoch: 34 [29440/47500]	Loss: 0.1114	LR: 0.004000
Training Epoch: 34 [29696/47500]	Loss: 0.1275	LR: 0.004000
Training Epoch: 34 [29952/47500]	Loss: 0.0935	LR: 0.004000
Training Epoch: 34 [30208/47500]	Loss: 0.1370	LR: 0.004000
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Training Epoch: 34 [42496/47500]	Loss: 0.1503	LR: 0.004000
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Training Epoch: 34 [43264/47500]	Loss: 0.0845	LR: 0.004000
Training Epoch: 34 [43520/47500]	Loss: 0.1486	LR: 0.004000
Training Epoch: 34 [43776/47500]	Loss: 0.1746	LR: 0.004000
Training Epoch: 34 [44032/47500]	Loss: 0.1604	LR: 0.004000
Training Epoch: 34 [44288/47500]	Loss: 0.1654	LR: 0.004000
Training Epoch: 34 [44544/47500]	Loss: 0.1436	LR: 0.004000
Training Epoch: 34 [44800/47500]	Loss: 0.1402	LR: 0.004000
Training Epoch: 34 [45056/47500]	Loss: 0.1968	LR: 0.004000
Training Epoch: 34 [45312/47500]	Loss: 0.1041	LR: 0.004000
Training Epoch: 34 [45568/47500]	Loss: 0.1349	LR: 0.004000
Training Epoch: 34 [45824/47500]	Loss: 0.1137	LR: 0.004000
Training Epoch: 34 [46080/47500]	Loss: 0.1395	LR: 0.004000
Training Epoch: 34 [46336/47500]	Loss: 0.1843	LR: 0.004000
Training Epoch: 34 [46592/47500]	Loss: 0.1796	LR: 0.004000
Training Epoch: 34 [46848/47500]	Loss: 0.1560	LR: 0.004000
Training Epoch: 34 [47104/47500]	Loss: 0.1657	LR: 0.004000
Training Epoch: 34 [47360/47500]	Loss: 0.1666	LR: 0.004000
Training Epoch: 34 [47500/47500]	Loss: 0.1698	LR: 0.004000
Epoch 34 - Average Train Loss: 0.1403, Train Accuracy: 0.9575
Epoch 34 training time consumed: 28.46s
Evaluating Network.....
Test set: Epoch: 34, Average loss: 0.0028, Accuracy: 0.8065, Time consumed:0.88s
Training Epoch: 35 [256/47500]	Loss: 0.1157	LR: 0.000800
Training Epoch: 35 [512/47500]	Loss: 0.0934	LR: 0.000800
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Training Epoch: 35 [1024/47500]	Loss: 0.1085	LR: 0.000800
Training Epoch: 35 [1280/47500]	Loss: 0.1127	LR: 0.000800
Training Epoch: 35 [1536/47500]	Loss: 0.1366	LR: 0.000800
Training Epoch: 35 [1792/47500]	Loss: 0.1310	LR: 0.000800
Training Epoch: 35 [2048/47500]	Loss: 0.1346	LR: 0.000800
Training Epoch: 35 [2304/47500]	Loss: 0.1066	LR: 0.000800
Training Epoch: 35 [2560/47500]	Loss: 0.1578	LR: 0.000800
Training Epoch: 35 [2816/47500]	Loss: 0.1272	LR: 0.000800
Training Epoch: 35 [3072/47500]	Loss: 0.1171	LR: 0.000800
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Training Epoch: 35 [4608/47500]	Loss: 0.1098	LR: 0.000800
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Training Epoch: 35 [5120/47500]	Loss: 0.1028	LR: 0.000800
Training Epoch: 35 [5376/47500]	Loss: 0.1559	LR: 0.000800
Training Epoch: 35 [5632/47500]	Loss: 0.1153	LR: 0.000800
Training Epoch: 35 [5888/47500]	Loss: 0.1693	LR: 0.000800
Training Epoch: 35 [6144/47500]	Loss: 0.0827	LR: 0.000800
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Training Epoch: 35 [6656/47500]	Loss: 0.1725	LR: 0.000800
Training Epoch: 35 [6912/47500]	Loss: 0.1308	LR: 0.000800
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Training Epoch: 35 [7424/47500]	Loss: 0.1018	LR: 0.000800
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Training Epoch: 35 [8448/47500]	Loss: 0.1119	LR: 0.000800
Training Epoch: 35 [8704/47500]	Loss: 0.1715	LR: 0.000800
Training Epoch: 35 [8960/47500]	Loss: 0.0909	LR: 0.000800
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Training Epoch: 35 [9984/47500]	Loss: 0.1715	LR: 0.000800
Training Epoch: 35 [10240/47500]	Loss: 0.1098	LR: 0.000800
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Training Epoch: 35 [10752/47500]	Loss: 0.0994	LR: 0.000800
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Training Epoch: 35 [44288/47500]	Loss: 0.1463	LR: 0.000800
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Training Epoch: 35 [44800/47500]	Loss: 0.1009	LR: 0.000800
Training Epoch: 35 [45056/47500]	Loss: 0.1065	LR: 0.000800
Training Epoch: 35 [45312/47500]	Loss: 0.1101	LR: 0.000800
Training Epoch: 35 [45568/47500]	Loss: 0.1077	LR: 0.000800
Training Epoch: 35 [45824/47500]	Loss: 0.0870	LR: 0.000800
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Training Epoch: 35 [46336/47500]	Loss: 0.1507	LR: 0.000800
Training Epoch: 35 [46592/47500]	Loss: 0.0983	LR: 0.000800
Training Epoch: 35 [46848/47500]	Loss: 0.0864	LR: 0.000800
Training Epoch: 35 [47104/47500]	Loss: 0.1219	LR: 0.000800
Training Epoch: 35 [47360/47500]	Loss: 0.1220	LR: 0.000800
Training Epoch: 35 [47500/47500]	Loss: 0.1418	LR: 0.000800
Epoch 35 - Average Train Loss: 0.1210, Train Accuracy: 0.9649
Epoch 35 training time consumed: 28.56s
Evaluating Network.....
Test set: Epoch: 35, Average loss: 0.0028, Accuracy: 0.8092, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_22h_57m_49s/ResNet18-Cifar20-seed10-ret50-35-best.pth
Training Epoch: 36 [256/47500]	Loss: 0.0941	LR: 0.000800
Training Epoch: 36 [512/47500]	Loss: 0.0848	LR: 0.000800
Training Epoch: 36 [768/47500]	Loss: 0.1283	LR: 0.000800
Training Epoch: 36 [1024/47500]	Loss: 0.1196	LR: 0.000800
Training Epoch: 36 [1280/47500]	Loss: 0.1059	LR: 0.000800
Training Epoch: 36 [1536/47500]	Loss: 0.1240	LR: 0.000800
Training Epoch: 36 [1792/47500]	Loss: 0.1598	LR: 0.000800
Training Epoch: 36 [2048/47500]	Loss: 0.1326	LR: 0.000800
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Training Epoch: 36 [2560/47500]	Loss: 0.0879	LR: 0.000800
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Training Epoch: 36 [3072/47500]	Loss: 0.1378	LR: 0.000800
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Training Epoch: 36 [4352/47500]	Loss: 0.1102	LR: 0.000800
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Training Epoch: 36 [7168/47500]	Loss: 0.1037	LR: 0.000800
Training Epoch: 36 [7424/47500]	Loss: 0.0755	LR: 0.000800
Training Epoch: 36 [7680/47500]	Loss: 0.1048	LR: 0.000800
Training Epoch: 36 [7936/47500]	Loss: 0.0780	LR: 0.000800
Training Epoch: 36 [8192/47500]	Loss: 0.1059	LR: 0.000800
Training Epoch: 36 [8448/47500]	Loss: 0.1586	LR: 0.000800
Training Epoch: 36 [8704/47500]	Loss: 0.1042	LR: 0.000800
Training Epoch: 36 [8960/47500]	Loss: 0.1183	LR: 0.000800
Training Epoch: 36 [9216/47500]	Loss: 0.0929	LR: 0.000800
Training Epoch: 36 [9472/47500]	Loss: 0.1172	LR: 0.000800
Training Epoch: 36 [9728/47500]	Loss: 0.1271	LR: 0.000800
Training Epoch: 36 [9984/47500]	Loss: 0.1140	LR: 0.000800
Training Epoch: 36 [10240/47500]	Loss: 0.0843	LR: 0.000800
Training Epoch: 36 [10496/47500]	Loss: 0.1392	LR: 0.000800
Training Epoch: 36 [10752/47500]	Loss: 0.1207	LR: 0.000800
Training Epoch: 36 [11008/47500]	Loss: 0.1232	LR: 0.000800
Training Epoch: 36 [11264/47500]	Loss: 0.0930	LR: 0.000800
Training Epoch: 36 [11520/47500]	Loss: 0.0944	LR: 0.000800
Training Epoch: 36 [11776/47500]	Loss: 0.1278	LR: 0.000800
Training Epoch: 36 [12032/47500]	Loss: 0.1377	LR: 0.000800
Training Epoch: 36 [12288/47500]	Loss: 0.1379	LR: 0.000800
Training Epoch: 36 [12544/47500]	Loss: 0.0838	LR: 0.000800
Training Epoch: 36 [12800/47500]	Loss: 0.1071	LR: 0.000800
Training Epoch: 36 [13056/47500]	Loss: 0.0951	LR: 0.000800
Training Epoch: 36 [13312/47500]	Loss: 0.1266	LR: 0.000800
Training Epoch: 36 [13568/47500]	Loss: 0.1200	LR: 0.000800
Training Epoch: 36 [13824/47500]	Loss: 0.1263	LR: 0.000800
Training Epoch: 36 [14080/47500]	Loss: 0.1144	LR: 0.000800
Training Epoch: 36 [14336/47500]	Loss: 0.0907	LR: 0.000800
Training Epoch: 36 [14592/47500]	Loss: 0.1170	LR: 0.000800
Training Epoch: 36 [14848/47500]	Loss: 0.1220	LR: 0.000800
Training Epoch: 36 [15104/47500]	Loss: 0.1235	LR: 0.000800
Training Epoch: 36 [15360/47500]	Loss: 0.1261	LR: 0.000800
Training Epoch: 36 [15616/47500]	Loss: 0.1521	LR: 0.000800
Training Epoch: 36 [15872/47500]	Loss: 0.1537	LR: 0.000800
Training Epoch: 36 [16128/47500]	Loss: 0.1013	LR: 0.000800
Training Epoch: 36 [16384/47500]	Loss: 0.0897	LR: 0.000800
Training Epoch: 36 [16640/47500]	Loss: 0.1169	LR: 0.000800
Training Epoch: 36 [16896/47500]	Loss: 0.1262	LR: 0.000800
Training Epoch: 36 [17152/47500]	Loss: 0.0824	LR: 0.000800
Training Epoch: 36 [17408/47500]	Loss: 0.1130	LR: 0.000800
Training Epoch: 36 [17664/47500]	Loss: 0.1101	LR: 0.000800
Training Epoch: 36 [17920/47500]	Loss: 0.1243	LR: 0.000800
Training Epoch: 36 [18176/47500]	Loss: 0.1105	LR: 0.000800
Training Epoch: 36 [18432/47500]	Loss: 0.1546	LR: 0.000800
Training Epoch: 36 [18688/47500]	Loss: 0.1188	LR: 0.000800
Training Epoch: 36 [18944/47500]	Loss: 0.1268	LR: 0.000800
Training Epoch: 36 [19200/47500]	Loss: 0.1215	LR: 0.000800
Training Epoch: 36 [19456/47500]	Loss: 0.1026	LR: 0.000800
Training Epoch: 36 [19712/47500]	Loss: 0.1423	LR: 0.000800
Training Epoch: 36 [19968/47500]	Loss: 0.1566	LR: 0.000800
Training Epoch: 36 [20224/47500]	Loss: 0.0733	LR: 0.000800
Training Epoch: 36 [20480/47500]	Loss: 0.0939	LR: 0.000800
Training Epoch: 36 [20736/47500]	Loss: 0.1261	LR: 0.000800
Training Epoch: 36 [20992/47500]	Loss: 0.1314	LR: 0.000800
Training Epoch: 36 [21248/47500]	Loss: 0.1217	LR: 0.000800
Training Epoch: 36 [21504/47500]	Loss: 0.1107	LR: 0.000800
Training Epoch: 36 [21760/47500]	Loss: 0.1262	LR: 0.000800
Training Epoch: 36 [22016/47500]	Loss: 0.1208	LR: 0.000800
Training Epoch: 36 [22272/47500]	Loss: 0.1008	LR: 0.000800
Training Epoch: 36 [22528/47500]	Loss: 0.1229	LR: 0.000800
Training Epoch: 36 [22784/47500]	Loss: 0.1201	LR: 0.000800
Training Epoch: 36 [23040/47500]	Loss: 0.0964	LR: 0.000800
Training Epoch: 36 [23296/47500]	Loss: 0.0881	LR: 0.000800
Training Epoch: 36 [23552/47500]	Loss: 0.1112	LR: 0.000800
Training Epoch: 36 [23808/47500]	Loss: 0.1103	LR: 0.000800
Training Epoch: 36 [24064/47500]	Loss: 0.1149	LR: 0.000800
Training Epoch: 36 [24320/47500]	Loss: 0.0962	LR: 0.000800
Training Epoch: 36 [24576/47500]	Loss: 0.0907	LR: 0.000800
Training Epoch: 36 [24832/47500]	Loss: 0.1305	LR: 0.000800
Training Epoch: 36 [25088/47500]	Loss: 0.1511	LR: 0.000800
Training Epoch: 36 [25344/47500]	Loss: 0.1130	LR: 0.000800
Training Epoch: 36 [25600/47500]	Loss: 0.1088	LR: 0.000800
Training Epoch: 36 [25856/47500]	Loss: 0.1436	LR: 0.000800
Training Epoch: 36 [26112/47500]	Loss: 0.1380	LR: 0.000800
Training Epoch: 36 [26368/47500]	Loss: 0.1555	LR: 0.000800
Training Epoch: 36 [26624/47500]	Loss: 0.0901	LR: 0.000800
Training Epoch: 36 [26880/47500]	Loss: 0.1534	LR: 0.000800
Training Epoch: 36 [27136/47500]	Loss: 0.0857	LR: 0.000800
Training Epoch: 36 [27392/47500]	Loss: 0.1126	LR: 0.000800
Training Epoch: 36 [27648/47500]	Loss: 0.0802	LR: 0.000800
Training Epoch: 36 [27904/47500]	Loss: 0.1020	LR: 0.000800
Training Epoch: 36 [28160/47500]	Loss: 0.1417	LR: 0.000800
Training Epoch: 36 [28416/47500]	Loss: 0.0731	LR: 0.000800
Training Epoch: 36 [28672/47500]	Loss: 0.1334	LR: 0.000800
Training Epoch: 36 [28928/47500]	Loss: 0.1786	LR: 0.000800
Training Epoch: 36 [29184/47500]	Loss: 0.0847	LR: 0.000800
Training Epoch: 36 [29440/47500]	Loss: 0.1437	LR: 0.000800
Training Epoch: 36 [29696/47500]	Loss: 0.1109	LR: 0.000800
Training Epoch: 36 [29952/47500]	Loss: 0.0784	LR: 0.000800
Training Epoch: 36 [30208/47500]	Loss: 0.1320	LR: 0.000800
Training Epoch: 36 [30464/47500]	Loss: 0.0859	LR: 0.000800
Training Epoch: 36 [30720/47500]	Loss: 0.1446	LR: 0.000800
Training Epoch: 36 [30976/47500]	Loss: 0.1124	LR: 0.000800
Training Epoch: 36 [31232/47500]	Loss: 0.1184	LR: 0.000800
Training Epoch: 36 [31488/47500]	Loss: 0.0978	LR: 0.000800
Training Epoch: 36 [31744/47500]	Loss: 0.0818	LR: 0.000800
Training Epoch: 36 [32000/47500]	Loss: 0.1376	LR: 0.000800
Training Epoch: 36 [32256/47500]	Loss: 0.1127	LR: 0.000800
Training Epoch: 36 [32512/47500]	Loss: 0.1131	LR: 0.000800
Training Epoch: 36 [32768/47500]	Loss: 0.1145	LR: 0.000800
Training Epoch: 36 [33024/47500]	Loss: 0.1263	LR: 0.000800
Training Epoch: 36 [33280/47500]	Loss: 0.1145	LR: 0.000800
Training Epoch: 36 [33536/47500]	Loss: 0.1369	LR: 0.000800
Training Epoch: 36 [33792/47500]	Loss: 0.1685	LR: 0.000800
Training Epoch: 36 [34048/47500]	Loss: 0.1400	LR: 0.000800
Training Epoch: 36 [34304/47500]	Loss: 0.1201	LR: 0.000800
Training Epoch: 36 [34560/47500]	Loss: 0.1444	LR: 0.000800
Training Epoch: 36 [34816/47500]	Loss: 0.1190	LR: 0.000800
Training Epoch: 36 [35072/47500]	Loss: 0.0888	LR: 0.000800
Training Epoch: 36 [35328/47500]	Loss: 0.1215	LR: 0.000800
Training Epoch: 36 [35584/47500]	Loss: 0.1064	LR: 0.000800
Training Epoch: 36 [35840/47500]	Loss: 0.0772	LR: 0.000800
Training Epoch: 36 [36096/47500]	Loss: 0.1653	LR: 0.000800
Training Epoch: 36 [36352/47500]	Loss: 0.0983	LR: 0.000800
Training Epoch: 36 [36608/47500]	Loss: 0.1151	LR: 0.000800
Training Epoch: 36 [36864/47500]	Loss: 0.1047	LR: 0.000800
Training Epoch: 36 [37120/47500]	Loss: 0.0935	LR: 0.000800
Training Epoch: 36 [37376/47500]	Loss: 0.0975	LR: 0.000800
Training Epoch: 36 [37632/47500]	Loss: 0.1095	LR: 0.000800
Training Epoch: 36 [37888/47500]	Loss: 0.1210	LR: 0.000800
Training Epoch: 36 [38144/47500]	Loss: 0.1816	LR: 0.000800
Training Epoch: 36 [38400/47500]	Loss: 0.1398	LR: 0.000800
Training Epoch: 36 [38656/47500]	Loss: 0.1054	LR: 0.000800
Training Epoch: 36 [38912/47500]	Loss: 0.1262	LR: 0.000800
Training Epoch: 36 [39168/47500]	Loss: 0.0971	LR: 0.000800
Training Epoch: 36 [39424/47500]	Loss: 0.0808	LR: 0.000800
Training Epoch: 36 [39680/47500]	Loss: 0.0910	LR: 0.000800
Training Epoch: 36 [39936/47500]	Loss: 0.1098	LR: 0.000800
Training Epoch: 36 [40192/47500]	Loss: 0.0822	LR: 0.000800
Training Epoch: 36 [40448/47500]	Loss: 0.0957	LR: 0.000800
Training Epoch: 36 [40704/47500]	Loss: 0.1115	LR: 0.000800
Training Epoch: 36 [40960/47500]	Loss: 0.1184	LR: 0.000800
Training Epoch: 36 [41216/47500]	Loss: 0.1211	LR: 0.000800
Training Epoch: 36 [41472/47500]	Loss: 0.1258	LR: 0.000800
Training Epoch: 36 [41728/47500]	Loss: 0.0979	LR: 0.000800
Training Epoch: 36 [41984/47500]	Loss: 0.0996	LR: 0.000800
Training Epoch: 36 [42240/47500]	Loss: 0.1032	LR: 0.000800
Training Epoch: 36 [42496/47500]	Loss: 0.1048	LR: 0.000800
Training Epoch: 36 [42752/47500]	Loss: 0.1000	LR: 0.000800
Training Epoch: 36 [43008/47500]	Loss: 0.0993	LR: 0.000800
Training Epoch: 36 [43264/47500]	Loss: 0.1372	LR: 0.000800
Training Epoch: 36 [43520/47500]	Loss: 0.0949	LR: 0.000800
Training Epoch: 36 [43776/47500]	Loss: 0.1047	LR: 0.000800
Training Epoch: 36 [44032/47500]	Loss: 0.0828	LR: 0.000800
Training Epoch: 36 [44288/47500]	Loss: 0.1278	LR: 0.000800
Training Epoch: 36 [44544/47500]	Loss: 0.0928	LR: 0.000800
Training Epoch: 36 [44800/47500]	Loss: 0.1279	LR: 0.000800
Training Epoch: 36 [45056/47500]	Loss: 0.1596	LR: 0.000800
Training Epoch: 36 [45312/47500]	Loss: 0.0998	LR: 0.000800
Training Epoch: 36 [45568/47500]	Loss: 0.1199	LR: 0.000800
Training Epoch: 36 [45824/47500]	Loss: 0.1265	LR: 0.000800
Training Epoch: 36 [46080/47500]	Loss: 0.1271	LR: 0.000800
Training Epoch: 36 [46336/47500]	Loss: 0.1139	LR: 0.000800
Training Epoch: 36 [46592/47500]	Loss: 0.0894	LR: 0.000800
Training Epoch: 36 [46848/47500]	Loss: 0.1454	LR: 0.000800
Training Epoch: 36 [47104/47500]	Loss: 0.1799	LR: 0.000800
Training Epoch: 36 [47360/47500]	Loss: 0.1405	LR: 0.000800
Training Epoch: 36 [47500/47500]	Loss: 0.1383	LR: 0.000800
Epoch 36 - Average Train Loss: 0.1153, Train Accuracy: 0.9673
Epoch 36 training time consumed: 28.81s
Evaluating Network.....
Test set: Epoch: 36, Average loss: 0.0028, Accuracy: 0.8074, Time consumed:0.89s
Training Epoch: 37 [256/47500]	Loss: 0.1228	LR: 0.000800
Training Epoch: 37 [512/47500]	Loss: 0.1079	LR: 0.000800
Training Epoch: 37 [768/47500]	Loss: 0.1218	LR: 0.000800
Training Epoch: 37 [1024/47500]	Loss: 0.0878	LR: 0.000800
Training Epoch: 37 [1280/47500]	Loss: 0.1137	LR: 0.000800
Training Epoch: 37 [1536/47500]	Loss: 0.1388	LR: 0.000800
Training Epoch: 37 [1792/47500]	Loss: 0.1020	LR: 0.000800
Training Epoch: 37 [2048/47500]	Loss: 0.0986	LR: 0.000800
Training Epoch: 37 [2304/47500]	Loss: 0.1239	LR: 0.000800
Training Epoch: 37 [2560/47500]	Loss: 0.1183	LR: 0.000800
Training Epoch: 37 [2816/47500]	Loss: 0.1254	LR: 0.000800
Training Epoch: 37 [3072/47500]	Loss: 0.1029	LR: 0.000800
Training Epoch: 37 [3328/47500]	Loss: 0.1041	LR: 0.000800
Training Epoch: 37 [3584/47500]	Loss: 0.0879	LR: 0.000800
Training Epoch: 37 [3840/47500]	Loss: 0.1188	LR: 0.000800
Training Epoch: 37 [4096/47500]	Loss: 0.0870	LR: 0.000800
Training Epoch: 37 [4352/47500]	Loss: 0.1228	LR: 0.000800
Training Epoch: 37 [4608/47500]	Loss: 0.1206	LR: 0.000800
Training Epoch: 37 [4864/47500]	Loss: 0.1032	LR: 0.000800
Training Epoch: 37 [5120/47500]	Loss: 0.1012	LR: 0.000800
Training Epoch: 37 [5376/47500]	Loss: 0.0804	LR: 0.000800
Training Epoch: 37 [5632/47500]	Loss: 0.1014	LR: 0.000800
Training Epoch: 37 [5888/47500]	Loss: 0.0830	LR: 0.000800
Training Epoch: 37 [6144/47500]	Loss: 0.0738	LR: 0.000800
Training Epoch: 37 [6400/47500]	Loss: 0.1463	LR: 0.000800
Training Epoch: 37 [6656/47500]	Loss: 0.1205	LR: 0.000800
Training Epoch: 37 [6912/47500]	Loss: 0.1056	LR: 0.000800
Training Epoch: 37 [7168/47500]	Loss: 0.1072	LR: 0.000800
Training Epoch: 37 [7424/47500]	Loss: 0.0732	LR: 0.000800
Training Epoch: 37 [7680/47500]	Loss: 0.1346	LR: 0.000800
Training Epoch: 37 [7936/47500]	Loss: 0.1034	LR: 0.000800
Training Epoch: 37 [8192/47500]	Loss: 0.1106	LR: 0.000800
Training Epoch: 37 [8448/47500]	Loss: 0.0990	LR: 0.000800
Training Epoch: 37 [8704/47500]	Loss: 0.1115	LR: 0.000800
Training Epoch: 37 [8960/47500]	Loss: 0.0885	LR: 0.000800
Training Epoch: 37 [9216/47500]	Loss: 0.1691	LR: 0.000800
Training Epoch: 37 [9472/47500]	Loss: 0.1007	LR: 0.000800
Training Epoch: 37 [9728/47500]	Loss: 0.0770	LR: 0.000800
Training Epoch: 37 [9984/47500]	Loss: 0.0990	LR: 0.000800
Training Epoch: 37 [10240/47500]	Loss: 0.0821	LR: 0.000800
Training Epoch: 37 [10496/47500]	Loss: 0.1389	LR: 0.000800
Training Epoch: 37 [10752/47500]	Loss: 0.0895	LR: 0.000800
Training Epoch: 37 [11008/47500]	Loss: 0.1219	LR: 0.000800
Training Epoch: 37 [11264/47500]	Loss: 0.1478	LR: 0.000800
Training Epoch: 37 [11520/47500]	Loss: 0.1102	LR: 0.000800
Training Epoch: 37 [11776/47500]	Loss: 0.1197	LR: 0.000800
Training Epoch: 37 [12032/47500]	Loss: 0.1252	LR: 0.000800
Training Epoch: 37 [12288/47500]	Loss: 0.1531	LR: 0.000800
Training Epoch: 37 [12544/47500]	Loss: 0.1102	LR: 0.000800
Training Epoch: 37 [12800/47500]	Loss: 0.1350	LR: 0.000800
Training Epoch: 37 [13056/47500]	Loss: 0.0761	LR: 0.000800
Training Epoch: 37 [13312/47500]	Loss: 0.1409	LR: 0.000800
Training Epoch: 37 [13568/47500]	Loss: 0.0863	LR: 0.000800
Training Epoch: 37 [13824/47500]	Loss: 0.1292	LR: 0.000800
Training Epoch: 37 [14080/47500]	Loss: 0.1411	LR: 0.000800
Training Epoch: 37 [14336/47500]	Loss: 0.0893	LR: 0.000800
Training Epoch: 37 [14592/47500]	Loss: 0.1064	LR: 0.000800
Training Epoch: 37 [14848/47500]	Loss: 0.0946	LR: 0.000800
Training Epoch: 37 [15104/47500]	Loss: 0.0961	LR: 0.000800
Training Epoch: 37 [15360/47500]	Loss: 0.1156	LR: 0.000800
Training Epoch: 37 [15616/47500]	Loss: 0.1058	LR: 0.000800
Training Epoch: 37 [15872/47500]	Loss: 0.1095	LR: 0.000800
Training Epoch: 37 [16128/47500]	Loss: 0.1151	LR: 0.000800
Training Epoch: 37 [16384/47500]	Loss: 0.0885	LR: 0.000800
Training Epoch: 37 [16640/47500]	Loss: 0.1058	LR: 0.000800
Training Epoch: 37 [16896/47500]	Loss: 0.1217	LR: 0.000800
Training Epoch: 37 [17152/47500]	Loss: 0.1215	LR: 0.000800
Training Epoch: 37 [17408/47500]	Loss: 0.1052	LR: 0.000800
Training Epoch: 37 [17664/47500]	Loss: 0.1270	LR: 0.000800
Training Epoch: 37 [17920/47500]	Loss: 0.1237	LR: 0.000800
Training Epoch: 37 [18176/47500]	Loss: 0.1009	LR: 0.000800
Training Epoch: 37 [18432/47500]	Loss: 0.1206	LR: 0.000800
Training Epoch: 37 [18688/47500]	Loss: 0.1071	LR: 0.000800
Training Epoch: 37 [18944/47500]	Loss: 0.1227	LR: 0.000800
Training Epoch: 37 [19200/47500]	Loss: 0.1400	LR: 0.000800
Training Epoch: 37 [19456/47500]	Loss: 0.0995	LR: 0.000800
Training Epoch: 37 [19712/47500]	Loss: 0.1168	LR: 0.000800
Training Epoch: 37 [19968/47500]	Loss: 0.0796	LR: 0.000800
Training Epoch: 37 [20224/47500]	Loss: 0.1101	LR: 0.000800
Training Epoch: 37 [20480/47500]	Loss: 0.1087	LR: 0.000800
Training Epoch: 37 [20736/47500]	Loss: 0.0941	LR: 0.000800
Training Epoch: 37 [20992/47500]	Loss: 0.1069	LR: 0.000800
Training Epoch: 37 [21248/47500]	Loss: 0.1245	LR: 0.000800
Training Epoch: 37 [21504/47500]	Loss: 0.1001	LR: 0.000800
Training Epoch: 37 [21760/47500]	Loss: 0.1450	LR: 0.000800
Training Epoch: 37 [22016/47500]	Loss: 0.1006	LR: 0.000800
Training Epoch: 37 [22272/47500]	Loss: 0.0962	LR: 0.000800
Training Epoch: 37 [22528/47500]	Loss: 0.1141	LR: 0.000800
Training Epoch: 37 [22784/47500]	Loss: 0.0999	LR: 0.000800
Training Epoch: 37 [23040/47500]	Loss: 0.1040	LR: 0.000800
Training Epoch: 37 [23296/47500]	Loss: 0.1543	LR: 0.000800
Training Epoch: 37 [23552/47500]	Loss: 0.0957	LR: 0.000800
Training Epoch: 37 [23808/47500]	Loss: 0.1038	LR: 0.000800
Training Epoch: 37 [24064/47500]	Loss: 0.1145	LR: 0.000800
Training Epoch: 37 [24320/47500]	Loss: 0.0983	LR: 0.000800
Training Epoch: 37 [24576/47500]	Loss: 0.0961	LR: 0.000800
Training Epoch: 37 [24832/47500]	Loss: 0.0893	LR: 0.000800
Training Epoch: 37 [25088/47500]	Loss: 0.1029	LR: 0.000800
Training Epoch: 37 [25344/47500]	Loss: 0.1255	LR: 0.000800
Training Epoch: 37 [25600/47500]	Loss: 0.1134	LR: 0.000800
Training Epoch: 37 [25856/47500]	Loss: 0.1025	LR: 0.000800
Training Epoch: 37 [26112/47500]	Loss: 0.1081	LR: 0.000800
Training Epoch: 37 [26368/47500]	Loss: 0.1259	LR: 0.000800
Training Epoch: 37 [26624/47500]	Loss: 0.0645	LR: 0.000800
Training Epoch: 37 [26880/47500]	Loss: 0.1163	LR: 0.000800
Training Epoch: 37 [27136/47500]	Loss: 0.1171	LR: 0.000800
Training Epoch: 37 [27392/47500]	Loss: 0.1563	LR: 0.000800
Training Epoch: 37 [27648/47500]	Loss: 0.1141	LR: 0.000800
Training Epoch: 37 [27904/47500]	Loss: 0.1077	LR: 0.000800
Training Epoch: 37 [28160/47500]	Loss: 0.1513	LR: 0.000800
Training Epoch: 37 [28416/47500]	Loss: 0.1426	LR: 0.000800
Training Epoch: 37 [28672/47500]	Loss: 0.1300	LR: 0.000800
Training Epoch: 37 [28928/47500]	Loss: 0.1037	LR: 0.000800
Training Epoch: 37 [29184/47500]	Loss: 0.1300	LR: 0.000800
Training Epoch: 37 [29440/47500]	Loss: 0.1054	LR: 0.000800
Training Epoch: 37 [29696/47500]	Loss: 0.1075	LR: 0.000800
Training Epoch: 37 [29952/47500]	Loss: 0.0942	LR: 0.000800
Training Epoch: 37 [30208/47500]	Loss: 0.1019	LR: 0.000800
Training Epoch: 37 [30464/47500]	Loss: 0.1107	LR: 0.000800
Training Epoch: 37 [30720/47500]	Loss: 0.1228	LR: 0.000800
Training Epoch: 37 [30976/47500]	Loss: 0.1147	LR: 0.000800
Training Epoch: 37 [31232/47500]	Loss: 0.1076	LR: 0.000800
Training Epoch: 37 [31488/47500]	Loss: 0.1230	LR: 0.000800
Training Epoch: 37 [31744/47500]	Loss: 0.0812	LR: 0.000800
Training Epoch: 37 [32000/47500]	Loss: 0.1151	LR: 0.000800
Training Epoch: 37 [32256/47500]	Loss: 0.1143	LR: 0.000800
Training Epoch: 37 [32512/47500]	Loss: 0.1147	LR: 0.000800
Training Epoch: 37 [32768/47500]	Loss: 0.0986	LR: 0.000800
Training Epoch: 37 [33024/47500]	Loss: 0.1051	LR: 0.000800
Training Epoch: 37 [33280/47500]	Loss: 0.1284	LR: 0.000800
Training Epoch: 37 [33536/47500]	Loss: 0.1160	LR: 0.000800
Training Epoch: 37 [33792/47500]	Loss: 0.1463	LR: 0.000800
Training Epoch: 37 [34048/47500]	Loss: 0.1142	LR: 0.000800
Training Epoch: 37 [34304/47500]	Loss: 0.1208	LR: 0.000800
Training Epoch: 37 [34560/47500]	Loss: 0.1190	LR: 0.000800
Training Epoch: 37 [34816/47500]	Loss: 0.1365	LR: 0.000800
Training Epoch: 37 [35072/47500]	Loss: 0.0797	LR: 0.000800
Training Epoch: 37 [35328/47500]	Loss: 0.1164	LR: 0.000800
Training Epoch: 37 [35584/47500]	Loss: 0.1078	LR: 0.000800
Training Epoch: 37 [35840/47500]	Loss: 0.0859	LR: 0.000800
Training Epoch: 37 [36096/47500]	Loss: 0.1474	LR: 0.000800
Training Epoch: 37 [36352/47500]	Loss: 0.0805	LR: 0.000800
Training Epoch: 37 [36608/47500]	Loss: 0.1311	LR: 0.000800
Training Epoch: 37 [36864/47500]	Loss: 0.1368	LR: 0.000800
Training Epoch: 37 [37120/47500]	Loss: 0.1469	LR: 0.000800
Training Epoch: 37 [37376/47500]	Loss: 0.0898	LR: 0.000800
Training Epoch: 37 [37632/47500]	Loss: 0.1355	LR: 0.000800
Training Epoch: 37 [37888/47500]	Loss: 0.1191	LR: 0.000800
Training Epoch: 37 [38144/47500]	Loss: 0.1000	LR: 0.000800
Training Epoch: 37 [38400/47500]	Loss: 0.0955	LR: 0.000800
Training Epoch: 37 [38656/47500]	Loss: 0.1296	LR: 0.000800
Training Epoch: 37 [38912/47500]	Loss: 0.0831	LR: 0.000800
Training Epoch: 37 [39168/47500]	Loss: 0.1070	LR: 0.000800
Training Epoch: 37 [39424/47500]	Loss: 0.1288	LR: 0.000800
Training Epoch: 37 [39680/47500]	Loss: 0.1246	LR: 0.000800
Training Epoch: 37 [39936/47500]	Loss: 0.0913	LR: 0.000800
Training Epoch: 37 [40192/47500]	Loss: 0.1522	LR: 0.000800
Training Epoch: 37 [40448/47500]	Loss: 0.0945	LR: 0.000800
Training Epoch: 37 [40704/47500]	Loss: 0.1345	LR: 0.000800
Training Epoch: 37 [40960/47500]	Loss: 0.1031	LR: 0.000800
Training Epoch: 37 [41216/47500]	Loss: 0.1869	LR: 0.000800
Training Epoch: 37 [41472/47500]	Loss: 0.1050	LR: 0.000800
Training Epoch: 37 [41728/47500]	Loss: 0.0991	LR: 0.000800
Training Epoch: 37 [41984/47500]	Loss: 0.0820	LR: 0.000800
Training Epoch: 37 [42240/47500]	Loss: 0.0873	LR: 0.000800
Training Epoch: 37 [42496/47500]	Loss: 0.1249	LR: 0.000800
Training Epoch: 37 [42752/47500]	Loss: 0.1353	LR: 0.000800
Training Epoch: 37 [43008/47500]	Loss: 0.0966	LR: 0.000800
Training Epoch: 37 [43264/47500]	Loss: 0.1106	LR: 0.000800
Training Epoch: 37 [43520/47500]	Loss: 0.1032	LR: 0.000800
Training Epoch: 37 [43776/47500]	Loss: 0.1228	LR: 0.000800
Training Epoch: 37 [44032/47500]	Loss: 0.0823	LR: 0.000800
Training Epoch: 37 [44288/47500]	Loss: 0.1146	LR: 0.000800
Training Epoch: 37 [44544/47500]	Loss: 0.1150	LR: 0.000800
Training Epoch: 37 [44800/47500]	Loss: 0.1024	LR: 0.000800
Training Epoch: 37 [45056/47500]	Loss: 0.1415	LR: 0.000800
Training Epoch: 37 [45312/47500]	Loss: 0.1111	LR: 0.000800
Training Epoch: 37 [45568/47500]	Loss: 0.1086	LR: 0.000800
Training Epoch: 37 [45824/47500]	Loss: 0.0788	LR: 0.000800
Training Epoch: 37 [46080/47500]	Loss: 0.0879	LR: 0.000800
Training Epoch: 37 [46336/47500]	Loss: 0.1043	LR: 0.000800
Training Epoch: 37 [46592/47500]	Loss: 0.1139	LR: 0.000800
Training Epoch: 37 [46848/47500]	Loss: 0.1284	LR: 0.000800
Training Epoch: 37 [47104/47500]	Loss: 0.1250	LR: 0.000800
Training Epoch: 37 [47360/47500]	Loss: 0.1396	LR: 0.000800
Training Epoch: 37 [47500/47500]	Loss: 0.1648	LR: 0.000800
Epoch 37 - Average Train Loss: 0.1121, Train Accuracy: 0.9680
Epoch 37 training time consumed: 28.49s
Evaluating Network.....
Test set: Epoch: 37, Average loss: 0.0028, Accuracy: 0.8087, Time consumed:0.89s
Training Epoch: 38 [256/47500]	Loss: 0.0792	LR: 0.000800
Training Epoch: 38 [512/47500]	Loss: 0.0694	LR: 0.000800
Training Epoch: 38 [768/47500]	Loss: 0.1234	LR: 0.000800
Training Epoch: 38 [1024/47500]	Loss: 0.1025	LR: 0.000800
Training Epoch: 38 [1280/47500]	Loss: 0.0896	LR: 0.000800
Training Epoch: 38 [1536/47500]	Loss: 0.0899	LR: 0.000800
Training Epoch: 38 [1792/47500]	Loss: 0.1331	LR: 0.000800
Training Epoch: 38 [2048/47500]	Loss: 0.1169	LR: 0.000800
Training Epoch: 38 [2304/47500]	Loss: 0.1002	LR: 0.000800
Training Epoch: 38 [2560/47500]	Loss: 0.1059	LR: 0.000800
Training Epoch: 38 [2816/47500]	Loss: 0.0913	LR: 0.000800
Training Epoch: 38 [3072/47500]	Loss: 0.0910	LR: 0.000800
Training Epoch: 38 [3328/47500]	Loss: 0.0814	LR: 0.000800
Training Epoch: 38 [3584/47500]	Loss: 0.1514	LR: 0.000800
Training Epoch: 38 [3840/47500]	Loss: 0.1003	LR: 0.000800
Training Epoch: 38 [4096/47500]	Loss: 0.0842	LR: 0.000800
Training Epoch: 38 [4352/47500]	Loss: 0.1066	LR: 0.000800
Training Epoch: 38 [4608/47500]	Loss: 0.0983	LR: 0.000800
Training Epoch: 38 [4864/47500]	Loss: 0.1078	LR: 0.000800
Training Epoch: 38 [5120/47500]	Loss: 0.1257	LR: 0.000800
Training Epoch: 38 [5376/47500]	Loss: 0.1188	LR: 0.000800
Training Epoch: 38 [5632/47500]	Loss: 0.1671	LR: 0.000800
Training Epoch: 38 [5888/47500]	Loss: 0.1414	LR: 0.000800
Training Epoch: 38 [6144/47500]	Loss: 0.0684	LR: 0.000800
Training Epoch: 38 [6400/47500]	Loss: 0.0840	LR: 0.000800
Training Epoch: 38 [6656/47500]	Loss: 0.1169	LR: 0.000800
Training Epoch: 38 [6912/47500]	Loss: 0.0749	LR: 0.000800
Training Epoch: 38 [7168/47500]	Loss: 0.0570	LR: 0.000800
Training Epoch: 38 [7424/47500]	Loss: 0.0856	LR: 0.000800
Training Epoch: 38 [7680/47500]	Loss: 0.1192	LR: 0.000800
Training Epoch: 38 [7936/47500]	Loss: 0.0976	LR: 0.000800
Training Epoch: 38 [8192/47500]	Loss: 0.1528	LR: 0.000800
Training Epoch: 38 [8448/47500]	Loss: 0.0782	LR: 0.000800
Training Epoch: 38 [8704/47500]	Loss: 0.1232	LR: 0.000800
Training Epoch: 38 [8960/47500]	Loss: 0.0883	LR: 0.000800
Training Epoch: 38 [9216/47500]	Loss: 0.1192	LR: 0.000800
Training Epoch: 38 [9472/47500]	Loss: 0.0852	LR: 0.000800
Training Epoch: 38 [9728/47500]	Loss: 0.1216	LR: 0.000800
Training Epoch: 38 [9984/47500]	Loss: 0.1404	LR: 0.000800
Training Epoch: 38 [10240/47500]	Loss: 0.1188	LR: 0.000800
Training Epoch: 38 [10496/47500]	Loss: 0.1220	LR: 0.000800
Training Epoch: 38 [10752/47500]	Loss: 0.0859	LR: 0.000800
Training Epoch: 38 [11008/47500]	Loss: 0.1196	LR: 0.000800
Training Epoch: 38 [11264/47500]	Loss: 0.1380	LR: 0.000800
Training Epoch: 38 [11520/47500]	Loss: 0.0757	LR: 0.000800
Training Epoch: 38 [11776/47500]	Loss: 0.0984	LR: 0.000800
Training Epoch: 38 [12032/47500]	Loss: 0.1233	LR: 0.000800
Training Epoch: 38 [12288/47500]	Loss: 0.1038	LR: 0.000800
Training Epoch: 38 [12544/47500]	Loss: 0.0770	LR: 0.000800
Training Epoch: 38 [12800/47500]	Loss: 0.1223	LR: 0.000800
Training Epoch: 38 [13056/47500]	Loss: 0.1125	LR: 0.000800
Training Epoch: 38 [13312/47500]	Loss: 0.0879	LR: 0.000800
Training Epoch: 38 [13568/47500]	Loss: 0.0887	LR: 0.000800
Training Epoch: 38 [13824/47500]	Loss: 0.1355	LR: 0.000800
Training Epoch: 38 [14080/47500]	Loss: 0.1205	LR: 0.000800
Training Epoch: 38 [14336/47500]	Loss: 0.1131	LR: 0.000800
Training Epoch: 38 [14592/47500]	Loss: 0.1120	LR: 0.000800
Training Epoch: 38 [14848/47500]	Loss: 0.1317	LR: 0.000800
Training Epoch: 38 [15104/47500]	Loss: 0.0917	LR: 0.000800
Training Epoch: 38 [15360/47500]	Loss: 0.1216	LR: 0.000800
Training Epoch: 38 [15616/47500]	Loss: 0.1148	LR: 0.000800
Training Epoch: 38 [15872/47500]	Loss: 0.1219	LR: 0.000800
Training Epoch: 38 [16128/47500]	Loss: 0.1272	LR: 0.000800
Training Epoch: 38 [16384/47500]	Loss: 0.1161	LR: 0.000800
Training Epoch: 38 [16640/47500]	Loss: 0.1680	LR: 0.000800
Training Epoch: 38 [16896/47500]	Loss: 0.1176	LR: 0.000800
Training Epoch: 38 [17152/47500]	Loss: 0.1019	LR: 0.000800
Training Epoch: 38 [17408/47500]	Loss: 0.0993	LR: 0.000800
Training Epoch: 38 [17664/47500]	Loss: 0.0849	LR: 0.000800
Training Epoch: 38 [17920/47500]	Loss: 0.0916	LR: 0.000800
Training Epoch: 38 [18176/47500]	Loss: 0.1228	LR: 0.000800
Training Epoch: 38 [18432/47500]	Loss: 0.1639	LR: 0.000800
Training Epoch: 38 [18688/47500]	Loss: 0.1621	LR: 0.000800
Training Epoch: 38 [18944/47500]	Loss: 0.0964	LR: 0.000800
Training Epoch: 38 [19200/47500]	Loss: 0.0969	LR: 0.000800
Training Epoch: 38 [19456/47500]	Loss: 0.0945	LR: 0.000800
Training Epoch: 38 [19712/47500]	Loss: 0.0745	LR: 0.000800
Training Epoch: 38 [19968/47500]	Loss: 0.0928	LR: 0.000800
Training Epoch: 38 [20224/47500]	Loss: 0.1302	LR: 0.000800
Training Epoch: 38 [20480/47500]	Loss: 0.1098	LR: 0.000800
Training Epoch: 38 [20736/47500]	Loss: 0.1351	LR: 0.000800
Training Epoch: 38 [20992/47500]	Loss: 0.0789	LR: 0.000800
Training Epoch: 38 [21248/47500]	Loss: 0.1025	LR: 0.000800
Training Epoch: 38 [21504/47500]	Loss: 0.1006	LR: 0.000800
Training Epoch: 38 [21760/47500]	Loss: 0.1163	LR: 0.000800
Training Epoch: 38 [22016/47500]	Loss: 0.1164	LR: 0.000800
Training Epoch: 38 [22272/47500]	Loss: 0.0480	LR: 0.000800
Training Epoch: 38 [22528/47500]	Loss: 0.1126	LR: 0.000800
Training Epoch: 38 [22784/47500]	Loss: 0.0930	LR: 0.000800
Training Epoch: 38 [23040/47500]	Loss: 0.1430	LR: 0.000800
Training Epoch: 38 [23296/47500]	Loss: 0.1050	LR: 0.000800
Training Epoch: 38 [23552/47500]	Loss: 0.1382	LR: 0.000800
Training Epoch: 38 [23808/47500]	Loss: 0.1023	LR: 0.000800
Training Epoch: 38 [24064/47500]	Loss: 0.1110	LR: 0.000800
Training Epoch: 38 [24320/47500]	Loss: 0.0776	LR: 0.000800
Training Epoch: 38 [24576/47500]	Loss: 0.1087	LR: 0.000800
Training Epoch: 38 [24832/47500]	Loss: 0.1041	LR: 0.000800
Training Epoch: 38 [25088/47500]	Loss: 0.0951	LR: 0.000800
Training Epoch: 38 [25344/47500]	Loss: 0.1374	LR: 0.000800
Training Epoch: 38 [25600/47500]	Loss: 0.1060	LR: 0.000800
Training Epoch: 38 [25856/47500]	Loss: 0.0909	LR: 0.000800
Training Epoch: 38 [26112/47500]	Loss: 0.1152	LR: 0.000800
Training Epoch: 38 [26368/47500]	Loss: 0.0993	LR: 0.000800
Training Epoch: 38 [26624/47500]	Loss: 0.1137	LR: 0.000800
Training Epoch: 38 [26880/47500]	Loss: 0.1019	LR: 0.000800
Training Epoch: 38 [27136/47500]	Loss: 0.1585	LR: 0.000800
Training Epoch: 38 [27392/47500]	Loss: 0.1027	LR: 0.000800
Training Epoch: 38 [27648/47500]	Loss: 0.1170	LR: 0.000800
Training Epoch: 38 [27904/47500]	Loss: 0.0773	LR: 0.000800
Training Epoch: 38 [28160/47500]	Loss: 0.1111	LR: 0.000800
Training Epoch: 38 [28416/47500]	Loss: 0.0923	LR: 0.000800
Training Epoch: 38 [28672/47500]	Loss: 0.1177	LR: 0.000800
Training Epoch: 38 [28928/47500]	Loss: 0.0910	LR: 0.000800
Training Epoch: 38 [29184/47500]	Loss: 0.1482	LR: 0.000800
Training Epoch: 38 [29440/47500]	Loss: 0.1104	LR: 0.000800
Training Epoch: 38 [29696/47500]	Loss: 0.1316	LR: 0.000800
Training Epoch: 38 [29952/47500]	Loss: 0.1171	LR: 0.000800
Training Epoch: 38 [30208/47500]	Loss: 0.1100	LR: 0.000800
Training Epoch: 38 [30464/47500]	Loss: 0.1308	LR: 0.000800
Training Epoch: 38 [30720/47500]	Loss: 0.1066	LR: 0.000800
Training Epoch: 38 [30976/47500]	Loss: 0.0958	LR: 0.000800
Training Epoch: 38 [31232/47500]	Loss: 0.0941	LR: 0.000800
Training Epoch: 38 [31488/47500]	Loss: 0.0772	LR: 0.000800
Training Epoch: 38 [31744/47500]	Loss: 0.1019	LR: 0.000800
Training Epoch: 38 [32000/47500]	Loss: 0.1167	LR: 0.000800
Training Epoch: 38 [32256/47500]	Loss: 0.0920	LR: 0.000800
Training Epoch: 38 [32512/47500]	Loss: 0.1136	LR: 0.000800
Training Epoch: 38 [32768/47500]	Loss: 0.1030	LR: 0.000800
Training Epoch: 38 [33024/47500]	Loss: 0.0926	LR: 0.000800
Training Epoch: 38 [33280/47500]	Loss: 0.1378	LR: 0.000800
Training Epoch: 38 [33536/47500]	Loss: 0.1483	LR: 0.000800
Training Epoch: 38 [33792/47500]	Loss: 0.1114	LR: 0.000800
Training Epoch: 38 [34048/47500]	Loss: 0.1276	LR: 0.000800
Training Epoch: 38 [34304/47500]	Loss: 0.1333	LR: 0.000800
Training Epoch: 38 [34560/47500]	Loss: 0.1076	LR: 0.000800
Training Epoch: 38 [34816/47500]	Loss: 0.1109	LR: 0.000800
Training Epoch: 38 [35072/47500]	Loss: 0.1116	LR: 0.000800
Training Epoch: 38 [35328/47500]	Loss: 0.1104	LR: 0.000800
Training Epoch: 38 [35584/47500]	Loss: 0.0950	LR: 0.000800
Training Epoch: 38 [35840/47500]	Loss: 0.1417	LR: 0.000800
Training Epoch: 38 [36096/47500]	Loss: 0.1168	LR: 0.000800
Training Epoch: 38 [36352/47500]	Loss: 0.0873	LR: 0.000800
Training Epoch: 38 [36608/47500]	Loss: 0.1413	LR: 0.000800
Training Epoch: 38 [36864/47500]	Loss: 0.1126	LR: 0.000800
Training Epoch: 38 [37120/47500]	Loss: 0.1398	LR: 0.000800
Training Epoch: 38 [37376/47500]	Loss: 0.0935	LR: 0.000800
Training Epoch: 38 [37632/47500]	Loss: 0.1629	LR: 0.000800
Training Epoch: 38 [37888/47500]	Loss: 0.0796	LR: 0.000800
Training Epoch: 38 [38144/47500]	Loss: 0.1669	LR: 0.000800
Training Epoch: 38 [38400/47500]	Loss: 0.0976	LR: 0.000800
Training Epoch: 38 [38656/47500]	Loss: 0.1240	LR: 0.000800
Training Epoch: 38 [38912/47500]	Loss: 0.1265	LR: 0.000800
Training Epoch: 38 [39168/47500]	Loss: 0.1060	LR: 0.000800
Training Epoch: 38 [39424/47500]	Loss: 0.1122	LR: 0.000800
Training Epoch: 38 [39680/47500]	Loss: 0.1185	LR: 0.000800
Training Epoch: 38 [39936/47500]	Loss: 0.0967	LR: 0.000800
Training Epoch: 38 [40192/47500]	Loss: 0.1061	LR: 0.000800
Training Epoch: 38 [40448/47500]	Loss: 0.1261	LR: 0.000800
Training Epoch: 38 [40704/47500]	Loss: 0.0885	LR: 0.000800
Training Epoch: 38 [40960/47500]	Loss: 0.0992	LR: 0.000800
Training Epoch: 38 [41216/47500]	Loss: 0.1555	LR: 0.000800
Training Epoch: 38 [41472/47500]	Loss: 0.1184	LR: 0.000800
Training Epoch: 38 [41728/47500]	Loss: 0.1153	LR: 0.000800
Training Epoch: 38 [41984/47500]	Loss: 0.1123	LR: 0.000800
Training Epoch: 38 [42240/47500]	Loss: 0.0906	LR: 0.000800
Training Epoch: 38 [42496/47500]	Loss: 0.0873	LR: 0.000800
Training Epoch: 38 [42752/47500]	Loss: 0.1284	LR: 0.000800
Training Epoch: 38 [43008/47500]	Loss: 0.0895	LR: 0.000800
Training Epoch: 38 [43264/47500]	Loss: 0.1211	LR: 0.000800
Training Epoch: 38 [43520/47500]	Loss: 0.0978	LR: 0.000800
Training Epoch: 38 [43776/47500]	Loss: 0.0681	LR: 0.000800
Training Epoch: 38 [44032/47500]	Loss: 0.0854	LR: 0.000800
Training Epoch: 38 [44288/47500]	Loss: 0.1008	LR: 0.000800
Training Epoch: 38 [44544/47500]	Loss: 0.1364	LR: 0.000800
Training Epoch: 38 [44800/47500]	Loss: 0.0794	LR: 0.000800
Training Epoch: 38 [45056/47500]	Loss: 0.1530	LR: 0.000800
Training Epoch: 38 [45312/47500]	Loss: 0.0914	LR: 0.000800
Training Epoch: 38 [45568/47500]	Loss: 0.0922	LR: 0.000800
Training Epoch: 38 [45824/47500]	Loss: 0.0954	LR: 0.000800
Training Epoch: 38 [46080/47500]	Loss: 0.1238	LR: 0.000800
Training Epoch: 38 [46336/47500]	Loss: 0.0875	LR: 0.000800
Training Epoch: 38 [46592/47500]	Loss: 0.0848	LR: 0.000800
Training Epoch: 38 [46848/47500]	Loss: 0.1212	LR: 0.000800
Training Epoch: 38 [47104/47500]	Loss: 0.1079	LR: 0.000800
Training Epoch: 38 [47360/47500]	Loss: 0.0810	LR: 0.000800
Training Epoch: 38 [47500/47500]	Loss: 0.0846	LR: 0.000800
Epoch 38 - Average Train Loss: 0.1091, Train Accuracy: 0.9695
Epoch 38 training time consumed: 28.37s
Evaluating Network.....
Test set: Epoch: 38, Average loss: 0.0028, Accuracy: 0.8082, Time consumed:0.88s
Training Epoch: 39 [256/47500]	Loss: 0.1158	LR: 0.000800
Training Epoch: 39 [512/47500]	Loss: 0.0744	LR: 0.000800
Training Epoch: 39 [768/47500]	Loss: 0.1087	LR: 0.000800
Training Epoch: 39 [1024/47500]	Loss: 0.0880	LR: 0.000800
Training Epoch: 39 [1280/47500]	Loss: 0.1057	LR: 0.000800
Training Epoch: 39 [1536/47500]	Loss: 0.1099	LR: 0.000800
Training Epoch: 39 [1792/47500]	Loss: 0.0893	LR: 0.000800
Training Epoch: 39 [2048/47500]	Loss: 0.0994	LR: 0.000800
Training Epoch: 39 [2304/47500]	Loss: 0.1069	LR: 0.000800
Training Epoch: 39 [2560/47500]	Loss: 0.1401	LR: 0.000800
Training Epoch: 39 [2816/47500]	Loss: 0.0936	LR: 0.000800
Training Epoch: 39 [3072/47500]	Loss: 0.1080	LR: 0.000800
Training Epoch: 39 [3328/47500]	Loss: 0.1079	LR: 0.000800
Training Epoch: 39 [3584/47500]	Loss: 0.1212	LR: 0.000800
Training Epoch: 39 [3840/47500]	Loss: 0.1189	LR: 0.000800
Training Epoch: 39 [4096/47500]	Loss: 0.0819	LR: 0.000800
Training Epoch: 39 [4352/47500]	Loss: 0.1026	LR: 0.000800
Training Epoch: 39 [4608/47500]	Loss: 0.1283	LR: 0.000800
Training Epoch: 39 [4864/47500]	Loss: 0.0895	LR: 0.000800
Training Epoch: 39 [5120/47500]	Loss: 0.1093	LR: 0.000800
Training Epoch: 39 [5376/47500]	Loss: 0.1130	LR: 0.000800
Training Epoch: 39 [5632/47500]	Loss: 0.1093	LR: 0.000800
Training Epoch: 39 [5888/47500]	Loss: 0.1262	LR: 0.000800
Training Epoch: 39 [6144/47500]	Loss: 0.1428	LR: 0.000800
Training Epoch: 39 [6400/47500]	Loss: 0.0655	LR: 0.000800
Training Epoch: 39 [6656/47500]	Loss: 0.1049	LR: 0.000800
Training Epoch: 39 [6912/47500]	Loss: 0.0780	LR: 0.000800
Training Epoch: 39 [7168/47500]	Loss: 0.1213	LR: 0.000800
Training Epoch: 39 [7424/47500]	Loss: 0.0971	LR: 0.000800
Training Epoch: 39 [7680/47500]	Loss: 0.1197	LR: 0.000800
Training Epoch: 39 [7936/47500]	Loss: 0.0951	LR: 0.000800
Training Epoch: 39 [8192/47500]	Loss: 0.0971	LR: 0.000800
Training Epoch: 39 [8448/47500]	Loss: 0.0948	LR: 0.000800
Training Epoch: 39 [8704/47500]	Loss: 0.0701	LR: 0.000800
Training Epoch: 39 [8960/47500]	Loss: 0.0917	LR: 0.000800
Training Epoch: 39 [9216/47500]	Loss: 0.0775	LR: 0.000800
Training Epoch: 39 [9472/47500]	Loss: 0.0809	LR: 0.000800
Training Epoch: 39 [9728/47500]	Loss: 0.1042	LR: 0.000800
Training Epoch: 39 [9984/47500]	Loss: 0.1322	LR: 0.000800
Training Epoch: 39 [10240/47500]	Loss: 0.1316	LR: 0.000800
Training Epoch: 39 [10496/47500]	Loss: 0.1206	LR: 0.000800
Training Epoch: 39 [10752/47500]	Loss: 0.1014	LR: 0.000800
Training Epoch: 39 [11008/47500]	Loss: 0.0994	LR: 0.000800
Training Epoch: 39 [11264/47500]	Loss: 0.0941	LR: 0.000800
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Training Epoch: 39 [46336/47500]	Loss: 0.0802	LR: 0.000800
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Training Epoch: 39 [46848/47500]	Loss: 0.0855	LR: 0.000800
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Training Epoch: 39 [47360/47500]	Loss: 0.1288	LR: 0.000800
Training Epoch: 39 [47500/47500]	Loss: 0.1952	LR: 0.000800
Epoch 39 - Average Train Loss: 0.1082, Train Accuracy: 0.9690
Epoch 39 training time consumed: 28.66s
Evaluating Network.....
Test set: Epoch: 39, Average loss: 0.0028, Accuracy: 0.8100, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_22h_57m_49s/ResNet18-Cifar20-seed10-ret50-39-best.pth
Training Epoch: 40 [256/47500]	Loss: 0.1120	LR: 0.000800
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Training Epoch: 40 [1536/47500]	Loss: 0.0917	LR: 0.000800
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Training Epoch: 40 [2048/47500]	Loss: 0.0959	LR: 0.000800
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Training Epoch: 40 [13312/47500]	Loss: 0.0951	LR: 0.000800
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Training Epoch: 40 [36608/47500]	Loss: 0.0810	LR: 0.000800
Training Epoch: 40 [36864/47500]	Loss: 0.1345	LR: 0.000800
Training Epoch: 40 [37120/47500]	Loss: 0.1014	LR: 0.000800
Training Epoch: 40 [37376/47500]	Loss: 0.0869	LR: 0.000800
Training Epoch: 40 [37632/47500]	Loss: 0.1068	LR: 0.000800
Training Epoch: 40 [37888/47500]	Loss: 0.1259	LR: 0.000800
Training Epoch: 40 [38144/47500]	Loss: 0.1120	LR: 0.000800
Training Epoch: 40 [38400/47500]	Loss: 0.1593	LR: 0.000800
Training Epoch: 40 [38656/47500]	Loss: 0.1527	LR: 0.000800
Training Epoch: 40 [38912/47500]	Loss: 0.0913	LR: 0.000800
Training Epoch: 40 [39168/47500]	Loss: 0.1319	LR: 0.000800
Training Epoch: 40 [39424/47500]	Loss: 0.1418	LR: 0.000800
Training Epoch: 40 [39680/47500]	Loss: 0.0892	LR: 0.000800
Training Epoch: 40 [39936/47500]	Loss: 0.1443	LR: 0.000800
Training Epoch: 40 [40192/47500]	Loss: 0.0939	LR: 0.000800
Training Epoch: 40 [40448/47500]	Loss: 0.1323	LR: 0.000800
Training Epoch: 40 [40704/47500]	Loss: 0.1162	LR: 0.000800
Training Epoch: 40 [40960/47500]	Loss: 0.0696	LR: 0.000800
Training Epoch: 40 [41216/47500]	Loss: 0.1116	LR: 0.000800
Training Epoch: 40 [41472/47500]	Loss: 0.1229	LR: 0.000800
Training Epoch: 40 [41728/47500]	Loss: 0.1344	LR: 0.000800
Training Epoch: 40 [41984/47500]	Loss: 0.1255	LR: 0.000800
Training Epoch: 40 [42240/47500]	Loss: 0.0907	LR: 0.000800
Training Epoch: 40 [42496/47500]	Loss: 0.1189	LR: 0.000800
Training Epoch: 40 [42752/47500]	Loss: 0.0991	LR: 0.000800
Training Epoch: 40 [43008/47500]	Loss: 0.0780	LR: 0.000800
Training Epoch: 40 [43264/47500]	Loss: 0.0965	LR: 0.000800
Training Epoch: 40 [43520/47500]	Loss: 0.1038	LR: 0.000800
Training Epoch: 40 [43776/47500]	Loss: 0.0898	LR: 0.000800
Training Epoch: 40 [44032/47500]	Loss: 0.0926	LR: 0.000800
Training Epoch: 40 [44288/47500]	Loss: 0.1293	LR: 0.000800
Training Epoch: 40 [44544/47500]	Loss: 0.1109	LR: 0.000800
Training Epoch: 40 [44800/47500]	Loss: 0.0862	LR: 0.000800
Training Epoch: 40 [45056/47500]	Loss: 0.1039	LR: 0.000800
Training Epoch: 40 [45312/47500]	Loss: 0.1136	LR: 0.000800
Training Epoch: 40 [45568/47500]	Loss: 0.0833	LR: 0.000800
Training Epoch: 40 [45824/47500]	Loss: 0.0727	LR: 0.000800
Training Epoch: 40 [46080/47500]	Loss: 0.0864	LR: 0.000800
Training Epoch: 40 [46336/47500]	Loss: 0.1208	LR: 0.000800
Training Epoch: 40 [46592/47500]	Loss: 0.1082	LR: 0.000800
Training Epoch: 40 [46848/47500]	Loss: 0.1340	LR: 0.000800
Training Epoch: 40 [47104/47500]	Loss: 0.1116	LR: 0.000800
Training Epoch: 40 [47360/47500]	Loss: 0.1469	LR: 0.000800
Training Epoch: 40 [47500/47500]	Loss: 0.0887	LR: 0.000800
Epoch 40 - Average Train Loss: 0.1036, Train Accuracy: 0.9712
Epoch 40 training time consumed: 28.27s
Evaluating Network.....
Test set: Epoch: 40, Average loss: 0.0028, Accuracy: 0.8108, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_22h_57m_49s/ResNet18-Cifar20-seed10-ret50-40-best.pth
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: 81.23046875
Retain Accuracy: 97.50402069091797
Zero-Retain Forget (ZRF): 0.9030609130859375
Membership Inference Attack (MIA): 0.6016
Forget vs Retain Membership Inference Attack (MIA): 0.606
Forget vs Test Membership Inference Attack (MIA): 0.521
Test vs Retain Membership Inference Attack (MIA): 0.57425
Train vs Test Membership Inference Attack (MIA): 0.60625
Forget Set Accuracy (Df): 78.75557708740234
Method Execution Time: 2122.04 seconds
