
📌 Retain class distribution for seed 2:
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 2:
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: 3.1007	LR: 0.000000
Training Epoch: 1 [512/47500]	Loss: 3.1144	LR: 0.000538
Training Epoch: 1 [768/47500]	Loss: 3.0790	LR: 0.001075
Training Epoch: 1 [1024/47500]	Loss: 3.0699	LR: 0.001613
Training Epoch: 1 [1280/47500]	Loss: 3.0671	LR: 0.002151
Training Epoch: 1 [1536/47500]	Loss: 3.0372	LR: 0.002688
Training Epoch: 1 [1792/47500]	Loss: 2.9484	LR: 0.003226
Training Epoch: 1 [2048/47500]	Loss: 2.9051	LR: 0.003763
Training Epoch: 1 [2304/47500]	Loss: 2.8851	LR: 0.004301
Training Epoch: 1 [2560/47500]	Loss: 2.8815	LR: 0.004839
Training Epoch: 1 [2816/47500]	Loss: 2.9594	LR: 0.005376
Training Epoch: 1 [3072/47500]	Loss: 2.9300	LR: 0.005914
Training Epoch: 1 [3328/47500]	Loss: 2.8708	LR: 0.006452
Training Epoch: 1 [3584/47500]	Loss: 2.9269	LR: 0.006989
Training Epoch: 1 [3840/47500]	Loss: 2.8650	LR: 0.007527
Training Epoch: 1 [4096/47500]	Loss: 2.8716	LR: 0.008065
Training Epoch: 1 [4352/47500]	Loss: 2.8451	LR: 0.008602
Training Epoch: 1 [4608/47500]	Loss: 2.9616	LR: 0.009140
Training Epoch: 1 [4864/47500]	Loss: 2.7297	LR: 0.009677
Training Epoch: 1 [5120/47500]	Loss: 2.7908	LR: 0.010215
Training Epoch: 1 [5376/47500]	Loss: 2.7776	LR: 0.010753
Training Epoch: 1 [5632/47500]	Loss: 2.8182	LR: 0.011290
Training Epoch: 1 [5888/47500]	Loss: 2.6685	LR: 0.011828
Training Epoch: 1 [6144/47500]	Loss: 2.7477	LR: 0.012366
Training Epoch: 1 [6400/47500]	Loss: 2.7585	LR: 0.012903
Training Epoch: 1 [6656/47500]	Loss: 2.6139	LR: 0.013441
Training Epoch: 1 [6912/47500]	Loss: 2.6836	LR: 0.013978
Training Epoch: 1 [7168/47500]	Loss: 2.7783	LR: 0.014516
Training Epoch: 1 [7424/47500]	Loss: 2.7622	LR: 0.015054
Training Epoch: 1 [7680/47500]	Loss: 2.6517	LR: 0.015591
Training Epoch: 1 [7936/47500]	Loss: 2.6145	LR: 0.016129
Training Epoch: 1 [8192/47500]	Loss: 2.6136	LR: 0.016667
Training Epoch: 1 [8448/47500]	Loss: 2.7084	LR: 0.017204
Training Epoch: 1 [8704/47500]	Loss: 2.5296	LR: 0.017742
Training Epoch: 1 [8960/47500]	Loss: 2.5773	LR: 0.018280
Training Epoch: 1 [9216/47500]	Loss: 2.5244	LR: 0.018817
Training Epoch: 1 [9472/47500]	Loss: 2.6746	LR: 0.019355
Training Epoch: 1 [9728/47500]	Loss: 2.5808	LR: 0.019892
Training Epoch: 1 [9984/47500]	Loss: 2.5898	LR: 0.020430
Training Epoch: 1 [10240/47500]	Loss: 2.5532	LR: 0.020968
Training Epoch: 1 [10496/47500]	Loss: 2.6647	LR: 0.021505
Training Epoch: 1 [10752/47500]	Loss: 2.6414	LR: 0.022043
Training Epoch: 1 [11008/47500]	Loss: 2.6012	LR: 0.022581
Training Epoch: 1 [11264/47500]	Loss: 2.5655	LR: 0.023118
Training Epoch: 1 [11520/47500]	Loss: 2.5738	LR: 0.023656
Training Epoch: 1 [11776/47500]	Loss: 2.6973	LR: 0.024194
Training Epoch: 1 [12032/47500]	Loss: 2.6248	LR: 0.024731
Training Epoch: 1 [12288/47500]	Loss: 2.4754	LR: 0.025269
Training Epoch: 1 [12544/47500]	Loss: 2.6002	LR: 0.025806
Training Epoch: 1 [12800/47500]	Loss: 2.6232	LR: 0.026344
Training Epoch: 1 [13056/47500]	Loss: 2.6137	LR: 0.026882
Training Epoch: 1 [13312/47500]	Loss: 2.4912	LR: 0.027419
Training Epoch: 1 [13568/47500]	Loss: 2.6066	LR: 0.027957
Training Epoch: 1 [13824/47500]	Loss: 2.5165	LR: 0.028495
Training Epoch: 1 [14080/47500]	Loss: 2.6355	LR: 0.029032
Training Epoch: 1 [14336/47500]	Loss: 2.5425	LR: 0.029570
Training Epoch: 1 [14592/47500]	Loss: 2.5711	LR: 0.030108
Training Epoch: 1 [14848/47500]	Loss: 2.5220	LR: 0.030645
Training Epoch: 1 [15104/47500]	Loss: 2.4831	LR: 0.031183
Training Epoch: 1 [15360/47500]	Loss: 2.5782	LR: 0.031720
Training Epoch: 1 [15616/47500]	Loss: 2.5020	LR: 0.032258
Training Epoch: 1 [15872/47500]	Loss: 2.5192	LR: 0.032796
Training Epoch: 1 [16128/47500]	Loss: 2.6602	LR: 0.033333
Training Epoch: 1 [16384/47500]	Loss: 2.5121	LR: 0.033871
Training Epoch: 1 [16640/47500]	Loss: 2.4518	LR: 0.034409
Training Epoch: 1 [16896/47500]	Loss: 2.5361	LR: 0.034946
Training Epoch: 1 [17152/47500]	Loss: 2.6220	LR: 0.035484
Training Epoch: 1 [17408/47500]	Loss: 2.4809	LR: 0.036022
Training Epoch: 1 [17664/47500]	Loss: 2.4393	LR: 0.036559
Training Epoch: 1 [17920/47500]	Loss: 2.4455	LR: 0.037097
Training Epoch: 1 [18176/47500]	Loss: 2.5373	LR: 0.037634
Training Epoch: 1 [18432/47500]	Loss: 2.5763	LR: 0.038172
Training Epoch: 1 [18688/47500]	Loss: 2.6317	LR: 0.038710
Training Epoch: 1 [18944/47500]	Loss: 2.5850	LR: 0.039247
Training Epoch: 1 [19200/47500]	Loss: 2.5237	LR: 0.039785
Training Epoch: 1 [19456/47500]	Loss: 2.6782	LR: 0.040323
Training Epoch: 1 [19712/47500]	Loss: 2.6257	LR: 0.040860
Training Epoch: 1 [19968/47500]	Loss: 2.5399	LR: 0.041398
Training Epoch: 1 [20224/47500]	Loss: 2.5989	LR: 0.041935
Training Epoch: 1 [20480/47500]	Loss: 2.5878	LR: 0.042473
Training Epoch: 1 [20736/47500]	Loss: 2.5712	LR: 0.043011
Training Epoch: 1 [20992/47500]	Loss: 2.6032	LR: 0.043548
Training Epoch: 1 [21248/47500]	Loss: 2.5605	LR: 0.044086
Training Epoch: 1 [21504/47500]	Loss: 2.7303	LR: 0.044624
Training Epoch: 1 [21760/47500]	Loss: 2.6290	LR: 0.045161
Training Epoch: 1 [22016/47500]	Loss: 2.4778	LR: 0.045699
Training Epoch: 1 [22272/47500]	Loss: 2.4337	LR: 0.046237
Training Epoch: 1 [22528/47500]	Loss: 2.5460	LR: 0.046774
Training Epoch: 1 [22784/47500]	Loss: 2.6004	LR: 0.047312
Training Epoch: 1 [23040/47500]	Loss: 2.6110	LR: 0.047849
Training Epoch: 1 [23296/47500]	Loss: 2.5711	LR: 0.048387
Training Epoch: 1 [23552/47500]	Loss: 2.5879	LR: 0.048925
Training Epoch: 1 [23808/47500]	Loss: 2.5464	LR: 0.049462
Training Epoch: 1 [24064/47500]	Loss: 2.4922	LR: 0.050000
Training Epoch: 1 [24320/47500]	Loss: 2.4799	LR: 0.050538
Training Epoch: 1 [24576/47500]	Loss: 2.5628	LR: 0.051075
Training Epoch: 1 [24832/47500]	Loss: 2.5448	LR: 0.051613
Training Epoch: 1 [25088/47500]	Loss: 2.5755	LR: 0.052151
Training Epoch: 1 [25344/47500]	Loss: 2.4282	LR: 0.052688
Training Epoch: 1 [25600/47500]	Loss: 2.4568	LR: 0.053226
Training Epoch: 1 [25856/47500]	Loss: 2.4572	LR: 0.053763
Training Epoch: 1 [26112/47500]	Loss: 2.6222	LR: 0.054301
Training Epoch: 1 [26368/47500]	Loss: 2.5289	LR: 0.054839
Training Epoch: 1 [26624/47500]	Loss: 2.6193	LR: 0.055376
Training Epoch: 1 [26880/47500]	Loss: 2.5231	LR: 0.055914
Training Epoch: 1 [27136/47500]	Loss: 2.3671	LR: 0.056452
Training Epoch: 1 [27392/47500]	Loss: 2.4804	LR: 0.056989
Training Epoch: 1 [27648/47500]	Loss: 2.5333	LR: 0.057527
Training Epoch: 1 [27904/47500]	Loss: 2.4973	LR: 0.058065
Training Epoch: 1 [28160/47500]	Loss: 2.3753	LR: 0.058602
Training Epoch: 1 [28416/47500]	Loss: 2.7351	LR: 0.059140
Training Epoch: 1 [28672/47500]	Loss: 2.4779	LR: 0.059677
Training Epoch: 1 [28928/47500]	Loss: 2.4270	LR: 0.060215
Training Epoch: 1 [29184/47500]	Loss: 2.4421	LR: 0.060753
Training Epoch: 1 [29440/47500]	Loss: 2.4735	LR: 0.061290
Training Epoch: 1 [29696/47500]	Loss: 2.3758	LR: 0.061828
Training Epoch: 1 [29952/47500]	Loss: 2.4306	LR: 0.062366
Training Epoch: 1 [30208/47500]	Loss: 2.5042	LR: 0.062903
Training Epoch: 1 [30464/47500]	Loss: 2.4611	LR: 0.063441
Training Epoch: 1 [30720/47500]	Loss: 2.5299	LR: 0.063978
Training Epoch: 1 [30976/47500]	Loss: 2.4502	LR: 0.064516
Training Epoch: 1 [31232/47500]	Loss: 2.4909	LR: 0.065054
Training Epoch: 1 [31488/47500]	Loss: 2.3870	LR: 0.065591
Training Epoch: 1 [31744/47500]	Loss: 2.3995	LR: 0.066129
Training Epoch: 1 [32000/47500]	Loss: 2.3623	LR: 0.066667
Training Epoch: 1 [32256/47500]	Loss: 2.3332	LR: 0.067204
Training Epoch: 1 [32512/47500]	Loss: 2.4134	LR: 0.067742
Training Epoch: 1 [32768/47500]	Loss: 2.3665	LR: 0.068280
Training Epoch: 1 [33024/47500]	Loss: 2.3331	LR: 0.068817
Training Epoch: 1 [33280/47500]	Loss: 2.2060	LR: 0.069355
Training Epoch: 1 [33536/47500]	Loss: 2.3289	LR: 0.069892
Training Epoch: 1 [33792/47500]	Loss: 2.3194	LR: 0.070430
Training Epoch: 1 [34048/47500]	Loss: 2.5599	LR: 0.070968
Training Epoch: 1 [34304/47500]	Loss: 2.3915	LR: 0.071505
Training Epoch: 1 [34560/47500]	Loss: 2.4460	LR: 0.072043
Training Epoch: 1 [34816/47500]	Loss: 2.4085	LR: 0.072581
Training Epoch: 1 [35072/47500]	Loss: 2.3749	LR: 0.073118
Training Epoch: 1 [35328/47500]	Loss: 2.4680	LR: 0.073656
Training Epoch: 1 [35584/47500]	Loss: 2.4213	LR: 0.074194
Training Epoch: 1 [35840/47500]	Loss: 2.3472	LR: 0.074731
Training Epoch: 1 [36096/47500]	Loss: 2.5485	LR: 0.075269
Training Epoch: 1 [36352/47500]	Loss: 2.4440	LR: 0.075806
Training Epoch: 1 [36608/47500]	Loss: 2.5429	LR: 0.076344
Training Epoch: 1 [36864/47500]	Loss: 2.4338	LR: 0.076882
Training Epoch: 1 [37120/47500]	Loss: 2.4719	LR: 0.077419
Training Epoch: 1 [37376/47500]	Loss: 2.4213	LR: 0.077957
Training Epoch: 1 [37632/47500]	Loss: 2.5318	LR: 0.078495
Training Epoch: 1 [37888/47500]	Loss: 2.3289	LR: 0.079032
Training Epoch: 1 [38144/47500]	Loss: 2.3808	LR: 0.079570
Training Epoch: 1 [38400/47500]	Loss: 2.5472	LR: 0.080108
Training Epoch: 1 [38656/47500]	Loss: 2.5456	LR: 0.080645
Training Epoch: 1 [38912/47500]	Loss: 2.4470	LR: 0.081183
Training Epoch: 1 [39168/47500]	Loss: 2.4296	LR: 0.081720
Training Epoch: 1 [39424/47500]	Loss: 2.3905	LR: 0.082258
Training Epoch: 1 [39680/47500]	Loss: 2.4549	LR: 0.082796
Training Epoch: 1 [39936/47500]	Loss: 2.4370	LR: 0.083333
Training Epoch: 1 [40192/47500]	Loss: 2.5918	LR: 0.083871
Training Epoch: 1 [40448/47500]	Loss: 2.3865	LR: 0.084409
Training Epoch: 1 [40704/47500]	Loss: 2.5567	LR: 0.084946
Training Epoch: 1 [40960/47500]	Loss: 2.4149	LR: 0.085484
Training Epoch: 1 [41216/47500]	Loss: 2.4650	LR: 0.086022
Training Epoch: 1 [41472/47500]	Loss: 2.3880	LR: 0.086559
Training Epoch: 1 [41728/47500]	Loss: 2.3628	LR: 0.087097
Training Epoch: 1 [41984/47500]	Loss: 2.6694	LR: 0.087634
Training Epoch: 1 [42240/47500]	Loss: 2.4350	LR: 0.088172
Training Epoch: 1 [42496/47500]	Loss: 2.3790	LR: 0.088710
Training Epoch: 1 [42752/47500]	Loss: 2.5755	LR: 0.089247
Training Epoch: 1 [43008/47500]	Loss: 2.3827	LR: 0.089785
Training Epoch: 1 [43264/47500]	Loss: 2.4084	LR: 0.090323
Training Epoch: 1 [43520/47500]	Loss: 2.3573	LR: 0.090860
Training Epoch: 1 [43776/47500]	Loss: 2.3045	LR: 0.091398
Training Epoch: 1 [44032/47500]	Loss: 2.3305	LR: 0.091935
Training Epoch: 1 [44288/47500]	Loss: 2.3774	LR: 0.092473
Training Epoch: 1 [44544/47500]	Loss: 2.4172	LR: 0.093011
Training Epoch: 1 [44800/47500]	Loss: 2.3245	LR: 0.093548
Training Epoch: 1 [45056/47500]	Loss: 2.4553	LR: 0.094086
Training Epoch: 1 [45312/47500]	Loss: 2.4176	LR: 0.094624
Training Epoch: 1 [45568/47500]	Loss: 2.3203	LR: 0.095161
Training Epoch: 1 [45824/47500]	Loss: 2.2968	LR: 0.095699
Training Epoch: 1 [46080/47500]	Loss: 2.3588	LR: 0.096237
Training Epoch: 1 [46336/47500]	Loss: 2.3390	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 2.4654	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 2.3100	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 2.3224	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 2.4186	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 2.3360	LR: 0.099462
Epoch 1 - Average Train Loss: 2.5540, Train Accuracy: 0.2147
Epoch 1 training time consumed: 29.06s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0092, Accuracy: 0.2894, Time consumed:1.07s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_18h_12m_05s/ResNet18-Cifar20-seed2-ret50-1-best.pth
Training Epoch: 2 [256/47500]	Loss: 2.3116	LR: 0.100000
Training Epoch: 2 [512/47500]	Loss: 2.3415	LR: 0.100000
Training Epoch: 2 [768/47500]	Loss: 2.3256	LR: 0.100000
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Epoch 2 - Average Train Loss: 2.1614, Train Accuracy: 0.3297
Epoch 2 training time consumed: 28.44s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0089, Accuracy: 0.3311, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_18h_12m_05s/ResNet18-Cifar20-seed2-ret50-2-best.pth
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Training Epoch: 3 [47500/47500]	Loss: 1.8028	LR: 0.100000
Epoch 3 - Average Train Loss: 1.9094, Train Accuracy: 0.4015
Epoch 3 training time consumed: 28.37s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0075, Accuracy: 0.4181, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_18h_12m_05s/ResNet18-Cifar20-seed2-ret50-3-best.pth
Training Epoch: 4 [256/47500]	Loss: 1.8440	LR: 0.100000
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Epoch 4 - Average Train Loss: 1.6937, Train Accuracy: 0.4649
Epoch 4 training time consumed: 28.17s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0067, Accuracy: 0.4731, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_18h_12m_05s/ResNet18-Cifar20-seed2-ret50-4-best.pth
Training Epoch: 5 [256/47500]	Loss: 1.6298	LR: 0.100000
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Epoch 5 - Average Train Loss: 1.5322, Train Accuracy: 0.5130
Epoch 5 training time consumed: 28.25s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0061, Accuracy: 0.5144, Time consumed:0.86s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_18h_12m_05s/ResNet18-Cifar20-seed2-ret50-5-best.pth
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Training Epoch: 6 [47500/47500]	Loss: 1.3365	LR: 0.100000
Epoch 6 - Average Train Loss: 1.3942, Train Accuracy: 0.5551
Epoch 6 training time consumed: 28.29s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0054, Accuracy: 0.5662, Time consumed:0.85s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_18h_12m_05s/ResNet18-Cifar20-seed2-ret50-6-best.pth
Training Epoch: 7 [256/47500]	Loss: 1.3214	LR: 0.100000
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Training Epoch: 7 [47500/47500]	Loss: 1.2459	LR: 0.100000
Epoch 7 - Average Train Loss: 1.2815, Train Accuracy: 0.5880
Epoch 7 training time consumed: 28.16s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0053, Accuracy: 0.5821, Time consumed:0.86s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_18h_12m_05s/ResNet18-Cifar20-seed2-ret50-7-best.pth
Training Epoch: 8 [256/47500]	Loss: 1.1577	LR: 0.100000
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Epoch 8 - Average Train Loss: 1.1969, Train Accuracy: 0.6123
Epoch 8 training time consumed: 28.50s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0053, Accuracy: 0.5898, Time consumed:0.84s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_18h_12m_05s/ResNet18-Cifar20-seed2-ret50-8-best.pth
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Training Epoch: 9 [47500/47500]	Loss: 1.0864	LR: 0.100000
Epoch 9 - Average Train Loss: 1.1216, Train Accuracy: 0.6392
Epoch 9 training time consumed: 28.34s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0047, Accuracy: 0.6271, Time consumed:0.85s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_18h_12m_05s/ResNet18-Cifar20-seed2-ret50-9-best.pth
Training Epoch: 10 [256/47500]	Loss: 1.0074	LR: 0.100000
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Epoch 10 - Average Train Loss: 1.0556, Train Accuracy: 0.6564
Epoch 10 training time consumed: 28.25s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0048, Accuracy: 0.6274, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_18h_12m_05s/ResNet18-Cifar20-seed2-ret50-10-best.pth
Training Epoch: 11 [256/47500]	Loss: 0.9673	LR: 0.100000
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Training Epoch: 11 [47500/47500]	Loss: 0.8741	LR: 0.100000
Epoch 11 - Average Train Loss: 1.0100, Train Accuracy: 0.6724
Epoch 11 training time consumed: 28.47s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0042, Accuracy: 0.6640, Time consumed:0.85s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_18h_12m_05s/ResNet18-Cifar20-seed2-ret50-11-best.pth
Training Epoch: 12 [256/47500]	Loss: 0.8967	LR: 0.100000
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Training Epoch: 12 [47500/47500]	Loss: 0.9659	LR: 0.100000
Epoch 12 - Average Train Loss: 0.9619, Train Accuracy: 0.6883
Epoch 12 training time consumed: 28.31s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0044, Accuracy: 0.6584, Time consumed:0.85s
Training Epoch: 13 [256/47500]	Loss: 0.7971	LR: 0.100000
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Training Epoch: 13 [4096/47500]	Loss: 0.8702	LR: 0.100000
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Training Epoch: 13 [18944/47500]	Loss: 0.9962	LR: 0.100000
Training Epoch: 13 [19200/47500]	Loss: 0.9849	LR: 0.100000
Training Epoch: 13 [19456/47500]	Loss: 0.9984	LR: 0.100000
Training Epoch: 13 [19712/47500]	Loss: 1.0393	LR: 0.100000
Training Epoch: 13 [19968/47500]	Loss: 0.9509	LR: 0.100000
Training Epoch: 13 [20224/47500]	Loss: 1.0364	LR: 0.100000
Training Epoch: 13 [20480/47500]	Loss: 0.9223	LR: 0.100000
Training Epoch: 13 [20736/47500]	Loss: 1.0835	LR: 0.100000
Training Epoch: 13 [20992/47500]	Loss: 0.8041	LR: 0.100000
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Training Epoch: 13 [21504/47500]	Loss: 0.9804	LR: 0.100000
Training Epoch: 13 [21760/47500]	Loss: 0.8381	LR: 0.100000
Training Epoch: 13 [22016/47500]	Loss: 0.8113	LR: 0.100000
Training Epoch: 13 [22272/47500]	Loss: 1.0029	LR: 0.100000
Training Epoch: 13 [22528/47500]	Loss: 0.8737	LR: 0.100000
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Training Epoch: 13 [23808/47500]	Loss: 1.0357	LR: 0.100000
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Training Epoch: 13 [24576/47500]	Loss: 0.8549	LR: 0.100000
Training Epoch: 13 [24832/47500]	Loss: 0.8919	LR: 0.100000
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Training Epoch: 13 [27136/47500]	Loss: 1.1236	LR: 0.100000
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Training Epoch: 13 [28416/47500]	Loss: 0.8458	LR: 0.100000
Training Epoch: 13 [28672/47500]	Loss: 1.0490	LR: 0.100000
Training Epoch: 13 [28928/47500]	Loss: 1.0050	LR: 0.100000
Training Epoch: 13 [29184/47500]	Loss: 0.9939	LR: 0.100000
Training Epoch: 13 [29440/47500]	Loss: 0.8486	LR: 0.100000
Training Epoch: 13 [29696/47500]	Loss: 0.9081	LR: 0.100000
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Training Epoch: 13 [30208/47500]	Loss: 0.9852	LR: 0.100000
Training Epoch: 13 [30464/47500]	Loss: 0.9481	LR: 0.100000
Training Epoch: 13 [30720/47500]	Loss: 0.8645	LR: 0.100000
Training Epoch: 13 [30976/47500]	Loss: 0.9387	LR: 0.100000
Training Epoch: 13 [31232/47500]	Loss: 1.0139	LR: 0.100000
Training Epoch: 13 [31488/47500]	Loss: 1.0303	LR: 0.100000
Training Epoch: 13 [31744/47500]	Loss: 0.9071	LR: 0.100000
Training Epoch: 13 [32000/47500]	Loss: 0.9803	LR: 0.100000
Training Epoch: 13 [32256/47500]	Loss: 0.7937	LR: 0.100000
Training Epoch: 13 [32512/47500]	Loss: 0.8754	LR: 0.100000
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Training Epoch: 13 [34560/47500]	Loss: 0.8910	LR: 0.100000
Training Epoch: 13 [34816/47500]	Loss: 0.9921	LR: 0.100000
Training Epoch: 13 [35072/47500]	Loss: 1.0961	LR: 0.100000
Training Epoch: 13 [35328/47500]	Loss: 1.0311	LR: 0.100000
Training Epoch: 13 [35584/47500]	Loss: 0.9818	LR: 0.100000
Training Epoch: 13 [35840/47500]	Loss: 0.9138	LR: 0.100000
Training Epoch: 13 [36096/47500]	Loss: 0.8714	LR: 0.100000
Training Epoch: 13 [36352/47500]	Loss: 1.1253	LR: 0.100000
Training Epoch: 13 [36608/47500]	Loss: 0.9035	LR: 0.100000
Training Epoch: 13 [36864/47500]	Loss: 0.9858	LR: 0.100000
Training Epoch: 13 [37120/47500]	Loss: 0.7568	LR: 0.100000
Training Epoch: 13 [37376/47500]	Loss: 0.8764	LR: 0.100000
Training Epoch: 13 [37632/47500]	Loss: 1.0090	LR: 0.100000
Training Epoch: 13 [37888/47500]	Loss: 0.9538	LR: 0.100000
Training Epoch: 13 [38144/47500]	Loss: 0.9465	LR: 0.100000
Training Epoch: 13 [38400/47500]	Loss: 0.8333	LR: 0.100000
Training Epoch: 13 [38656/47500]	Loss: 1.0591	LR: 0.100000
Training Epoch: 13 [38912/47500]	Loss: 0.9484	LR: 0.100000
Training Epoch: 13 [39168/47500]	Loss: 0.9455	LR: 0.100000
Training Epoch: 13 [39424/47500]	Loss: 0.9480	LR: 0.100000
Training Epoch: 13 [39680/47500]	Loss: 0.9537	LR: 0.100000
Training Epoch: 13 [39936/47500]	Loss: 0.8816	LR: 0.100000
Training Epoch: 13 [40192/47500]	Loss: 0.8630	LR: 0.100000
Training Epoch: 13 [40448/47500]	Loss: 1.0093	LR: 0.100000
Training Epoch: 13 [40704/47500]	Loss: 0.9719	LR: 0.100000
Training Epoch: 13 [40960/47500]	Loss: 0.7872	LR: 0.100000
Training Epoch: 13 [41216/47500]	Loss: 0.9699	LR: 0.100000
Training Epoch: 13 [41472/47500]	Loss: 0.8789	LR: 0.100000
Training Epoch: 13 [41728/47500]	Loss: 0.9949	LR: 0.100000
Training Epoch: 13 [41984/47500]	Loss: 1.0580	LR: 0.100000
Training Epoch: 13 [42240/47500]	Loss: 0.8205	LR: 0.100000
Training Epoch: 13 [42496/47500]	Loss: 0.9084	LR: 0.100000
Training Epoch: 13 [42752/47500]	Loss: 1.0039	LR: 0.100000
Training Epoch: 13 [43008/47500]	Loss: 0.8934	LR: 0.100000
Training Epoch: 13 [43264/47500]	Loss: 0.8257	LR: 0.100000
Training Epoch: 13 [43520/47500]	Loss: 0.9294	LR: 0.100000
Training Epoch: 13 [43776/47500]	Loss: 1.0407	LR: 0.100000
Training Epoch: 13 [44032/47500]	Loss: 1.0124	LR: 0.100000
Training Epoch: 13 [44288/47500]	Loss: 1.0217	LR: 0.100000
Training Epoch: 13 [44544/47500]	Loss: 0.9147	LR: 0.100000
Training Epoch: 13 [44800/47500]	Loss: 0.9378	LR: 0.100000
Training Epoch: 13 [45056/47500]	Loss: 0.8887	LR: 0.100000
Training Epoch: 13 [45312/47500]	Loss: 0.9406	LR: 0.100000
Training Epoch: 13 [45568/47500]	Loss: 1.0921	LR: 0.100000
Training Epoch: 13 [45824/47500]	Loss: 0.8597	LR: 0.100000
Training Epoch: 13 [46080/47500]	Loss: 1.0248	LR: 0.100000
Training Epoch: 13 [46336/47500]	Loss: 0.9635	LR: 0.100000
Training Epoch: 13 [46592/47500]	Loss: 1.0130	LR: 0.100000
Training Epoch: 13 [46848/47500]	Loss: 0.9677	LR: 0.100000
Training Epoch: 13 [47104/47500]	Loss: 0.9357	LR: 0.100000
Training Epoch: 13 [47360/47500]	Loss: 0.9777	LR: 0.100000
Training Epoch: 13 [47500/47500]	Loss: 0.8020	LR: 0.100000
Epoch 13 - Average Train Loss: 0.9237, Train Accuracy: 0.6993
Epoch 13 training time consumed: 28.48s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0056, Accuracy: 0.5904, Time consumed:0.87s
Training Epoch: 14 [256/47500]	Loss: 0.8576	LR: 0.100000
Training Epoch: 14 [512/47500]	Loss: 0.9361	LR: 0.100000
Training Epoch: 14 [768/47500]	Loss: 0.8320	LR: 0.100000
Training Epoch: 14 [1024/47500]	Loss: 1.0004	LR: 0.100000
Training Epoch: 14 [1280/47500]	Loss: 0.9035	LR: 0.100000
Training Epoch: 14 [1536/47500]	Loss: 0.7455	LR: 0.100000
Training Epoch: 14 [1792/47500]	Loss: 0.7958	LR: 0.100000
Training Epoch: 14 [2048/47500]	Loss: 0.8854	LR: 0.100000
Training Epoch: 14 [2304/47500]	Loss: 0.8975	LR: 0.100000
Training Epoch: 14 [2560/47500]	Loss: 0.8244	LR: 0.100000
Training Epoch: 14 [2816/47500]	Loss: 0.8744	LR: 0.100000
Training Epoch: 14 [3072/47500]	Loss: 0.8503	LR: 0.100000
Training Epoch: 14 [3328/47500]	Loss: 0.9642	LR: 0.100000
Training Epoch: 14 [3584/47500]	Loss: 0.8461	LR: 0.100000
Training Epoch: 14 [3840/47500]	Loss: 0.9271	LR: 0.100000
Training Epoch: 14 [4096/47500]	Loss: 0.8979	LR: 0.100000
Training Epoch: 14 [4352/47500]	Loss: 0.7215	LR: 0.100000
Training Epoch: 14 [4608/47500]	Loss: 0.9156	LR: 0.100000
Training Epoch: 14 [4864/47500]	Loss: 0.9172	LR: 0.100000
Training Epoch: 14 [5120/47500]	Loss: 0.9324	LR: 0.100000
Training Epoch: 14 [5376/47500]	Loss: 0.8869	LR: 0.100000
Training Epoch: 14 [5632/47500]	Loss: 0.9280	LR: 0.100000
Training Epoch: 14 [5888/47500]	Loss: 0.9439	LR: 0.100000
Training Epoch: 14 [6144/47500]	Loss: 0.9313	LR: 0.100000
Training Epoch: 14 [6400/47500]	Loss: 0.9853	LR: 0.100000
Training Epoch: 14 [6656/47500]	Loss: 0.9228	LR: 0.100000
Training Epoch: 14 [6912/47500]	Loss: 0.7471	LR: 0.100000
Training Epoch: 14 [7168/47500]	Loss: 1.0175	LR: 0.100000
Training Epoch: 14 [7424/47500]	Loss: 0.8397	LR: 0.100000
Training Epoch: 14 [7680/47500]	Loss: 0.8942	LR: 0.100000
Training Epoch: 14 [7936/47500]	Loss: 0.7845	LR: 0.100000
Training Epoch: 14 [8192/47500]	Loss: 0.8546	LR: 0.100000
Training Epoch: 14 [8448/47500]	Loss: 0.9351	LR: 0.100000
Training Epoch: 14 [8704/47500]	Loss: 1.0843	LR: 0.100000
Training Epoch: 14 [8960/47500]	Loss: 0.9461	LR: 0.100000
Training Epoch: 14 [9216/47500]	Loss: 0.8556	LR: 0.100000
Training Epoch: 14 [9472/47500]	Loss: 0.9481	LR: 0.100000
Training Epoch: 14 [9728/47500]	Loss: 0.8167	LR: 0.100000
Training Epoch: 14 [9984/47500]	Loss: 0.8902	LR: 0.100000
Training Epoch: 14 [10240/47500]	Loss: 0.8452	LR: 0.100000
Training Epoch: 14 [10496/47500]	Loss: 0.9248	LR: 0.100000
Training Epoch: 14 [10752/47500]	Loss: 0.8293	LR: 0.100000
Training Epoch: 14 [11008/47500]	Loss: 0.9616	LR: 0.100000
Training Epoch: 14 [11264/47500]	Loss: 0.8227	LR: 0.100000
Training Epoch: 14 [11520/47500]	Loss: 0.9275	LR: 0.100000
Training Epoch: 14 [11776/47500]	Loss: 0.9084	LR: 0.100000
Training Epoch: 14 [12032/47500]	Loss: 0.8571	LR: 0.100000
Training Epoch: 14 [12288/47500]	Loss: 0.8057	LR: 0.100000
Training Epoch: 14 [12544/47500]	Loss: 0.9805	LR: 0.100000
Training Epoch: 14 [12800/47500]	Loss: 0.8201	LR: 0.100000
Training Epoch: 14 [13056/47500]	Loss: 0.8761	LR: 0.100000
Training Epoch: 14 [13312/47500]	Loss: 0.8152	LR: 0.100000
Training Epoch: 14 [13568/47500]	Loss: 0.8437	LR: 0.100000
Training Epoch: 14 [13824/47500]	Loss: 0.8184	LR: 0.100000
Training Epoch: 14 [14080/47500]	Loss: 0.9716	LR: 0.100000
Training Epoch: 14 [14336/47500]	Loss: 0.9234	LR: 0.100000
Training Epoch: 14 [14592/47500]	Loss: 0.9485	LR: 0.100000
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Training Epoch: 14 [15104/47500]	Loss: 0.8425	LR: 0.100000
Training Epoch: 14 [15360/47500]	Loss: 0.8728	LR: 0.100000
Training Epoch: 14 [15616/47500]	Loss: 0.9981	LR: 0.100000
Training Epoch: 14 [15872/47500]	Loss: 0.9052	LR: 0.100000
Training Epoch: 14 [16128/47500]	Loss: 0.8405	LR: 0.100000
Training Epoch: 14 [16384/47500]	Loss: 0.8647	LR: 0.100000
Training Epoch: 14 [16640/47500]	Loss: 0.8475	LR: 0.100000
Training Epoch: 14 [16896/47500]	Loss: 0.7913	LR: 0.100000
Training Epoch: 14 [17152/47500]	Loss: 0.9681	LR: 0.100000
Training Epoch: 14 [17408/47500]	Loss: 0.8322	LR: 0.100000
Training Epoch: 14 [17664/47500]	Loss: 0.9137	LR: 0.100000
Training Epoch: 14 [17920/47500]	Loss: 0.7651	LR: 0.100000
Training Epoch: 14 [18176/47500]	Loss: 0.9988	LR: 0.100000
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Training Epoch: 14 [18944/47500]	Loss: 0.9325	LR: 0.100000
Training Epoch: 14 [19200/47500]	Loss: 0.8366	LR: 0.100000
Training Epoch: 14 [19456/47500]	Loss: 0.9157	LR: 0.100000
Training Epoch: 14 [19712/47500]	Loss: 1.0506	LR: 0.100000
Training Epoch: 14 [19968/47500]	Loss: 1.0463	LR: 0.100000
Training Epoch: 14 [20224/47500]	Loss: 0.9474	LR: 0.100000
Training Epoch: 14 [20480/47500]	Loss: 0.9046	LR: 0.100000
Training Epoch: 14 [20736/47500]	Loss: 0.9974	LR: 0.100000
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Training Epoch: 14 [21504/47500]	Loss: 0.9238	LR: 0.100000
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Training Epoch: 14 [22016/47500]	Loss: 0.9483	LR: 0.100000
Training Epoch: 14 [22272/47500]	Loss: 0.9902	LR: 0.100000
Training Epoch: 14 [22528/47500]	Loss: 0.8291	LR: 0.100000
Training Epoch: 14 [22784/47500]	Loss: 0.7414	LR: 0.100000
Training Epoch: 14 [23040/47500]	Loss: 0.8702	LR: 0.100000
Training Epoch: 14 [23296/47500]	Loss: 0.9428	LR: 0.100000
Training Epoch: 14 [23552/47500]	Loss: 0.7965	LR: 0.100000
Training Epoch: 14 [23808/47500]	Loss: 0.8159	LR: 0.100000
Training Epoch: 14 [24064/47500]	Loss: 0.8211	LR: 0.100000
Training Epoch: 14 [24320/47500]	Loss: 0.9318	LR: 0.100000
Training Epoch: 14 [24576/47500]	Loss: 0.9470	LR: 0.100000
Training Epoch: 14 [24832/47500]	Loss: 0.9638	LR: 0.100000
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Training Epoch: 14 [25856/47500]	Loss: 0.9892	LR: 0.100000
Training Epoch: 14 [26112/47500]	Loss: 0.9343	LR: 0.100000
Training Epoch: 14 [26368/47500]	Loss: 0.8565	LR: 0.100000
Training Epoch: 14 [26624/47500]	Loss: 0.8143	LR: 0.100000
Training Epoch: 14 [26880/47500]	Loss: 0.8808	LR: 0.100000
Training Epoch: 14 [27136/47500]	Loss: 1.1256	LR: 0.100000
Training Epoch: 14 [27392/47500]	Loss: 0.9141	LR: 0.100000
Training Epoch: 14 [27648/47500]	Loss: 0.8429	LR: 0.100000
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Training Epoch: 14 [29440/47500]	Loss: 0.8424	LR: 0.100000
Training Epoch: 14 [29696/47500]	Loss: 0.7649	LR: 0.100000
Training Epoch: 14 [29952/47500]	Loss: 0.8151	LR: 0.100000
Training Epoch: 14 [30208/47500]	Loss: 0.9863	LR: 0.100000
Training Epoch: 14 [30464/47500]	Loss: 0.9560	LR: 0.100000
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Training Epoch: 14 [30976/47500]	Loss: 0.8764	LR: 0.100000
Training Epoch: 14 [31232/47500]	Loss: 0.8223	LR: 0.100000
Training Epoch: 14 [31488/47500]	Loss: 0.8377	LR: 0.100000
Training Epoch: 14 [31744/47500]	Loss: 1.0354	LR: 0.100000
Training Epoch: 14 [32000/47500]	Loss: 0.9253	LR: 0.100000
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Training Epoch: 14 [32512/47500]	Loss: 1.0286	LR: 0.100000
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Training Epoch: 14 [33024/47500]	Loss: 0.8610	LR: 0.100000
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Training Epoch: 14 [47500/47500]	Loss: 0.8496	LR: 0.100000
Epoch 14 - Average Train Loss: 0.9045, Train Accuracy: 0.7071
Epoch 14 training time consumed: 28.29s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0045, Accuracy: 0.6559, Time consumed:0.86s
Training Epoch: 15 [256/47500]	Loss: 0.8848	LR: 0.020000
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Training Epoch: 15 [47500/47500]	Loss: 0.6453	LR: 0.020000
Epoch 15 - Average Train Loss: 0.6704, Train Accuracy: 0.7833
Epoch 15 training time consumed: 28.24s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0030, Accuracy: 0.7630, Time consumed:0.86s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_18h_12m_05s/ResNet18-Cifar20-seed2-ret50-15-best.pth
Training Epoch: 16 [256/47500]	Loss: 0.4935	LR: 0.020000
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Training Epoch: 16 [47500/47500]	Loss: 0.5103	LR: 0.020000
Epoch 16 - Average Train Loss: 0.5792, Train Accuracy: 0.8119
Epoch 16 training time consumed: 28.25s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0029, Accuracy: 0.7700, Time consumed:0.84s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_18h_12m_05s/ResNet18-Cifar20-seed2-ret50-16-best.pth
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Training Epoch: 17 [36352/47500]	Loss: 0.5318	LR: 0.020000
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Training Epoch: 17 [37120/47500]	Loss: 0.5893	LR: 0.020000
Training Epoch: 17 [37376/47500]	Loss: 0.5145	LR: 0.020000
Training Epoch: 17 [37632/47500]	Loss: 0.4985	LR: 0.020000
Training Epoch: 17 [37888/47500]	Loss: 0.5697	LR: 0.020000
Training Epoch: 17 [38144/47500]	Loss: 0.5523	LR: 0.020000
Training Epoch: 17 [38400/47500]	Loss: 0.4640	LR: 0.020000
Training Epoch: 17 [38656/47500]	Loss: 0.4197	LR: 0.020000
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Training Epoch: 17 [39168/47500]	Loss: 0.6272	LR: 0.020000
Training Epoch: 17 [39424/47500]	Loss: 0.5045	LR: 0.020000
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Training Epoch: 17 [40192/47500]	Loss: 0.4537	LR: 0.020000
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Training Epoch: 17 [41984/47500]	Loss: 0.5244	LR: 0.020000
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Training Epoch: 17 [42496/47500]	Loss: 0.5949	LR: 0.020000
Training Epoch: 17 [42752/47500]	Loss: 0.5791	LR: 0.020000
Training Epoch: 17 [43008/47500]	Loss: 0.5383	LR: 0.020000
Training Epoch: 17 [43264/47500]	Loss: 0.5850	LR: 0.020000
Training Epoch: 17 [43520/47500]	Loss: 0.6277	LR: 0.020000
Training Epoch: 17 [43776/47500]	Loss: 0.5643	LR: 0.020000
Training Epoch: 17 [44032/47500]	Loss: 0.5900	LR: 0.020000
Training Epoch: 17 [44288/47500]	Loss: 0.5580	LR: 0.020000
Training Epoch: 17 [44544/47500]	Loss: 0.4794	LR: 0.020000
Training Epoch: 17 [44800/47500]	Loss: 0.5252	LR: 0.020000
Training Epoch: 17 [45056/47500]	Loss: 0.5172	LR: 0.020000
Training Epoch: 17 [45312/47500]	Loss: 0.5255	LR: 0.020000
Training Epoch: 17 [45568/47500]	Loss: 0.5990	LR: 0.020000
Training Epoch: 17 [45824/47500]	Loss: 0.5337	LR: 0.020000
Training Epoch: 17 [46080/47500]	Loss: 0.6193	LR: 0.020000
Training Epoch: 17 [46336/47500]	Loss: 0.6130	LR: 0.020000
Training Epoch: 17 [46592/47500]	Loss: 0.5608	LR: 0.020000
Training Epoch: 17 [46848/47500]	Loss: 0.3759	LR: 0.020000
Training Epoch: 17 [47104/47500]	Loss: 0.5439	LR: 0.020000
Training Epoch: 17 [47360/47500]	Loss: 0.5488	LR: 0.020000
Training Epoch: 17 [47500/47500]	Loss: 0.4752	LR: 0.020000
Epoch 17 - Average Train Loss: 0.5479, Train Accuracy: 0.8215
Epoch 17 training time consumed: 28.36s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0029, Accuracy: 0.7680, Time consumed:0.97s
Training Epoch: 18 [256/47500]	Loss: 0.5200	LR: 0.020000
Training Epoch: 18 [512/47500]	Loss: 0.5301	LR: 0.020000
Training Epoch: 18 [768/47500]	Loss: 0.5729	LR: 0.020000
Training Epoch: 18 [1024/47500]	Loss: 0.4844	LR: 0.020000
Training Epoch: 18 [1280/47500]	Loss: 0.4491	LR: 0.020000
Training Epoch: 18 [1536/47500]	Loss: 0.5579	LR: 0.020000
Training Epoch: 18 [1792/47500]	Loss: 0.4992	LR: 0.020000
Training Epoch: 18 [2048/47500]	Loss: 0.4369	LR: 0.020000
Training Epoch: 18 [2304/47500]	Loss: 0.4697	LR: 0.020000
Training Epoch: 18 [2560/47500]	Loss: 0.6105	LR: 0.020000
Training Epoch: 18 [2816/47500]	Loss: 0.4906	LR: 0.020000
Training Epoch: 18 [3072/47500]	Loss: 0.4710	LR: 0.020000
Training Epoch: 18 [3328/47500]	Loss: 0.4510	LR: 0.020000
Training Epoch: 18 [3584/47500]	Loss: 0.4728	LR: 0.020000
Training Epoch: 18 [3840/47500]	Loss: 0.4618	LR: 0.020000
Training Epoch: 18 [4096/47500]	Loss: 0.5245	LR: 0.020000
Training Epoch: 18 [4352/47500]	Loss: 0.4911	LR: 0.020000
Training Epoch: 18 [4608/47500]	Loss: 0.4804	LR: 0.020000
Training Epoch: 18 [4864/47500]	Loss: 0.5096	LR: 0.020000
Training Epoch: 18 [5120/47500]	Loss: 0.4323	LR: 0.020000
Training Epoch: 18 [5376/47500]	Loss: 0.4543	LR: 0.020000
Training Epoch: 18 [5632/47500]	Loss: 0.4573	LR: 0.020000
Training Epoch: 18 [5888/47500]	Loss: 0.6665	LR: 0.020000
Training Epoch: 18 [6144/47500]	Loss: 0.4376	LR: 0.020000
Training Epoch: 18 [6400/47500]	Loss: 0.3739	LR: 0.020000
Training Epoch: 18 [6656/47500]	Loss: 0.4601	LR: 0.020000
Training Epoch: 18 [6912/47500]	Loss: 0.5221	LR: 0.020000
Training Epoch: 18 [7168/47500]	Loss: 0.5185	LR: 0.020000
Training Epoch: 18 [7424/47500]	Loss: 0.4259	LR: 0.020000
Training Epoch: 18 [7680/47500]	Loss: 0.5094	LR: 0.020000
Training Epoch: 18 [7936/47500]	Loss: 0.5462	LR: 0.020000
Training Epoch: 18 [8192/47500]	Loss: 0.5276	LR: 0.020000
Training Epoch: 18 [8448/47500]	Loss: 0.4771	LR: 0.020000
Training Epoch: 18 [8704/47500]	Loss: 0.5027	LR: 0.020000
Training Epoch: 18 [8960/47500]	Loss: 0.4988	LR: 0.020000
Training Epoch: 18 [9216/47500]	Loss: 0.5101	LR: 0.020000
Training Epoch: 18 [9472/47500]	Loss: 0.5278	LR: 0.020000
Training Epoch: 18 [9728/47500]	Loss: 0.5566	LR: 0.020000
Training Epoch: 18 [9984/47500]	Loss: 0.4871	LR: 0.020000
Training Epoch: 18 [10240/47500]	Loss: 0.5369	LR: 0.020000
Training Epoch: 18 [10496/47500]	Loss: 0.5495	LR: 0.020000
Training Epoch: 18 [10752/47500]	Loss: 0.4393	LR: 0.020000
Training Epoch: 18 [11008/47500]	Loss: 0.5915	LR: 0.020000
Training Epoch: 18 [11264/47500]	Loss: 0.5212	LR: 0.020000
Training Epoch: 18 [11520/47500]	Loss: 0.5314	LR: 0.020000
Training Epoch: 18 [11776/47500]	Loss: 0.4708	LR: 0.020000
Training Epoch: 18 [12032/47500]	Loss: 0.5266	LR: 0.020000
Training Epoch: 18 [12288/47500]	Loss: 0.5003	LR: 0.020000
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Training Epoch: 18 [12800/47500]	Loss: 0.5517	LR: 0.020000
Training Epoch: 18 [13056/47500]	Loss: 0.5298	LR: 0.020000
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Training Epoch: 18 [40192/47500]	Loss: 0.4878	LR: 0.020000
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Training Epoch: 18 [41728/47500]	Loss: 0.5556	LR: 0.020000
Training Epoch: 18 [41984/47500]	Loss: 0.5269	LR: 0.020000
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Training Epoch: 18 [42496/47500]	Loss: 0.5436	LR: 0.020000
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Training Epoch: 18 [43264/47500]	Loss: 0.4161	LR: 0.020000
Training Epoch: 18 [43520/47500]	Loss: 0.4387	LR: 0.020000
Training Epoch: 18 [43776/47500]	Loss: 0.4638	LR: 0.020000
Training Epoch: 18 [44032/47500]	Loss: 0.3976	LR: 0.020000
Training Epoch: 18 [44288/47500]	Loss: 0.4579	LR: 0.020000
Training Epoch: 18 [44544/47500]	Loss: 0.5315	LR: 0.020000
Training Epoch: 18 [44800/47500]	Loss: 0.5115	LR: 0.020000
Training Epoch: 18 [45056/47500]	Loss: 0.5708	LR: 0.020000
Training Epoch: 18 [45312/47500]	Loss: 0.5964	LR: 0.020000
Training Epoch: 18 [45568/47500]	Loss: 0.5702	LR: 0.020000
Training Epoch: 18 [45824/47500]	Loss: 0.5652	LR: 0.020000
Training Epoch: 18 [46080/47500]	Loss: 0.6049	LR: 0.020000
Training Epoch: 18 [46336/47500]	Loss: 0.5069	LR: 0.020000
Training Epoch: 18 [46592/47500]	Loss: 0.4868	LR: 0.020000
Training Epoch: 18 [46848/47500]	Loss: 0.6252	LR: 0.020000
Training Epoch: 18 [47104/47500]	Loss: 0.5512	LR: 0.020000
Training Epoch: 18 [47360/47500]	Loss: 0.4392	LR: 0.020000
Training Epoch: 18 [47500/47500]	Loss: 0.5973	LR: 0.020000
Epoch 18 - Average Train Loss: 0.5129, Train Accuracy: 0.8310
Epoch 18 training time consumed: 28.29s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0030, Accuracy: 0.7697, Time consumed:0.92s
Training Epoch: 19 [256/47500]	Loss: 0.5093	LR: 0.020000
Training Epoch: 19 [512/47500]	Loss: 0.4585	LR: 0.020000
Training Epoch: 19 [768/47500]	Loss: 0.4992	LR: 0.020000
Training Epoch: 19 [1024/47500]	Loss: 0.5704	LR: 0.020000
Training Epoch: 19 [1280/47500]	Loss: 0.5943	LR: 0.020000
Training Epoch: 19 [1536/47500]	Loss: 0.5121	LR: 0.020000
Training Epoch: 19 [1792/47500]	Loss: 0.4756	LR: 0.020000
Training Epoch: 19 [2048/47500]	Loss: 0.5428	LR: 0.020000
Training Epoch: 19 [2304/47500]	Loss: 0.5108	LR: 0.020000
Training Epoch: 19 [2560/47500]	Loss: 0.5964	LR: 0.020000
Training Epoch: 19 [2816/47500]	Loss: 0.4591	LR: 0.020000
Training Epoch: 19 [3072/47500]	Loss: 0.4713	LR: 0.020000
Training Epoch: 19 [3328/47500]	Loss: 0.4276	LR: 0.020000
Training Epoch: 19 [3584/47500]	Loss: 0.5138	LR: 0.020000
Training Epoch: 19 [3840/47500]	Loss: 0.4995	LR: 0.020000
Training Epoch: 19 [4096/47500]	Loss: 0.4378	LR: 0.020000
Training Epoch: 19 [4352/47500]	Loss: 0.4604	LR: 0.020000
Training Epoch: 19 [4608/47500]	Loss: 0.4394	LR: 0.020000
Training Epoch: 19 [4864/47500]	Loss: 0.4743	LR: 0.020000
Training Epoch: 19 [5120/47500]	Loss: 0.4744	LR: 0.020000
Training Epoch: 19 [5376/47500]	Loss: 0.4904	LR: 0.020000
Training Epoch: 19 [5632/47500]	Loss: 0.5057	LR: 0.020000
Training Epoch: 19 [5888/47500]	Loss: 0.4536	LR: 0.020000
Training Epoch: 19 [6144/47500]	Loss: 0.5593	LR: 0.020000
Training Epoch: 19 [6400/47500]	Loss: 0.4712	LR: 0.020000
Training Epoch: 19 [6656/47500]	Loss: 0.4900	LR: 0.020000
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Training Epoch: 19 [7168/47500]	Loss: 0.5323	LR: 0.020000
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Training Epoch: 19 [7680/47500]	Loss: 0.4990	LR: 0.020000
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Training Epoch: 19 [8448/47500]	Loss: 0.5125	LR: 0.020000
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Training Epoch: 19 [10496/47500]	Loss: 0.4404	LR: 0.020000
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Training Epoch: 19 [11008/47500]	Loss: 0.4489	LR: 0.020000
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Training Epoch: 19 [12032/47500]	Loss: 0.4501	LR: 0.020000
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Training Epoch: 19 [12800/47500]	Loss: 0.4803	LR: 0.020000
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Training Epoch: 19 [13312/47500]	Loss: 0.4291	LR: 0.020000
Training Epoch: 19 [13568/47500]	Loss: 0.5365	LR: 0.020000
Training Epoch: 19 [13824/47500]	Loss: 0.4864	LR: 0.020000
Training Epoch: 19 [14080/47500]	Loss: 0.4376	LR: 0.020000
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Training Epoch: 19 [47500/47500]	Loss: 0.4994	LR: 0.020000
Epoch 19 - Average Train Loss: 0.4904, Train Accuracy: 0.8375
Epoch 19 training time consumed: 28.76s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0030, Accuracy: 0.7703, Time consumed:0.86s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_18h_12m_05s/ResNet18-Cifar20-seed2-ret50-19-best.pth
Training Epoch: 20 [256/47500]	Loss: 0.4886	LR: 0.020000
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Training Epoch: 20 [39680/47500]	Loss: 0.3574	LR: 0.020000
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Training Epoch: 20 [40192/47500]	Loss: 0.5254	LR: 0.020000
Training Epoch: 20 [40448/47500]	Loss: 0.4044	LR: 0.020000
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Training Epoch: 20 [40960/47500]	Loss: 0.5240	LR: 0.020000
Training Epoch: 20 [41216/47500]	Loss: 0.3208	LR: 0.020000
Training Epoch: 20 [41472/47500]	Loss: 0.4482	LR: 0.020000
Training Epoch: 20 [41728/47500]	Loss: 0.4491	LR: 0.020000
Training Epoch: 20 [41984/47500]	Loss: 0.3928	LR: 0.020000
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Training Epoch: 20 [42496/47500]	Loss: 0.4707	LR: 0.020000
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Training Epoch: 20 [43008/47500]	Loss: 0.5459	LR: 0.020000
Training Epoch: 20 [43264/47500]	Loss: 0.4171	LR: 0.020000
Training Epoch: 20 [43520/47500]	Loss: 0.3728	LR: 0.020000
Training Epoch: 20 [43776/47500]	Loss: 0.4388	LR: 0.020000
Training Epoch: 20 [44032/47500]	Loss: 0.4500	LR: 0.020000
Training Epoch: 20 [44288/47500]	Loss: 0.4464	LR: 0.020000
Training Epoch: 20 [44544/47500]	Loss: 0.4748	LR: 0.020000
Training Epoch: 20 [44800/47500]	Loss: 0.4858	LR: 0.020000
Training Epoch: 20 [45056/47500]	Loss: 0.4190	LR: 0.020000
Training Epoch: 20 [45312/47500]	Loss: 0.4419	LR: 0.020000
Training Epoch: 20 [45568/47500]	Loss: 0.4130	LR: 0.020000
Training Epoch: 20 [45824/47500]	Loss: 0.5141	LR: 0.020000
Training Epoch: 20 [46080/47500]	Loss: 0.5089	LR: 0.020000
Training Epoch: 20 [46336/47500]	Loss: 0.4549	LR: 0.020000
Training Epoch: 20 [46592/47500]	Loss: 0.4967	LR: 0.020000
Training Epoch: 20 [46848/47500]	Loss: 0.5426	LR: 0.020000
Training Epoch: 20 [47104/47500]	Loss: 0.5086	LR: 0.020000
Training Epoch: 20 [47360/47500]	Loss: 0.4890	LR: 0.020000
Training Epoch: 20 [47500/47500]	Loss: 0.5549	LR: 0.020000
Epoch 20 - Average Train Loss: 0.4668, Train Accuracy: 0.8464
Epoch 20 training time consumed: 28.40s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0030, Accuracy: 0.7678, Time consumed:0.86s
Training Epoch: 21 [256/47500]	Loss: 0.3705	LR: 0.020000
Training Epoch: 21 [512/47500]	Loss: 0.4155	LR: 0.020000
Training Epoch: 21 [768/47500]	Loss: 0.3805	LR: 0.020000
Training Epoch: 21 [1024/47500]	Loss: 0.4230	LR: 0.020000
Training Epoch: 21 [1280/47500]	Loss: 0.4930	LR: 0.020000
Training Epoch: 21 [1536/47500]	Loss: 0.4242	LR: 0.020000
Training Epoch: 21 [1792/47500]	Loss: 0.4467	LR: 0.020000
Training Epoch: 21 [2048/47500]	Loss: 0.3960	LR: 0.020000
Training Epoch: 21 [2304/47500]	Loss: 0.4814	LR: 0.020000
Training Epoch: 21 [2560/47500]	Loss: 0.4211	LR: 0.020000
Training Epoch: 21 [2816/47500]	Loss: 0.4238	LR: 0.020000
Training Epoch: 21 [3072/47500]	Loss: 0.3774	LR: 0.020000
Training Epoch: 21 [3328/47500]	Loss: 0.4265	LR: 0.020000
Training Epoch: 21 [3584/47500]	Loss: 0.4323	LR: 0.020000
Training Epoch: 21 [3840/47500]	Loss: 0.3896	LR: 0.020000
Training Epoch: 21 [4096/47500]	Loss: 0.4113	LR: 0.020000
Training Epoch: 21 [4352/47500]	Loss: 0.4833	LR: 0.020000
Training Epoch: 21 [4608/47500]	Loss: 0.4380	LR: 0.020000
Training Epoch: 21 [4864/47500]	Loss: 0.4833	LR: 0.020000
Training Epoch: 21 [5120/47500]	Loss: 0.3257	LR: 0.020000
Training Epoch: 21 [5376/47500]	Loss: 0.4683	LR: 0.020000
Training Epoch: 21 [5632/47500]	Loss: 0.4235	LR: 0.020000
Training Epoch: 21 [5888/47500]	Loss: 0.4524	LR: 0.020000
Training Epoch: 21 [6144/47500]	Loss: 0.4597	LR: 0.020000
Training Epoch: 21 [6400/47500]	Loss: 0.4294	LR: 0.020000
Training Epoch: 21 [6656/47500]	Loss: 0.4348	LR: 0.020000
Training Epoch: 21 [6912/47500]	Loss: 0.3630	LR: 0.020000
Training Epoch: 21 [7168/47500]	Loss: 0.4680	LR: 0.020000
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Training Epoch: 21 [7936/47500]	Loss: 0.3873	LR: 0.020000
Training Epoch: 21 [8192/47500]	Loss: 0.3693	LR: 0.020000
Training Epoch: 21 [8448/47500]	Loss: 0.4105	LR: 0.020000
Training Epoch: 21 [8704/47500]	Loss: 0.4253	LR: 0.020000
Training Epoch: 21 [8960/47500]	Loss: 0.4419	LR: 0.020000
Training Epoch: 21 [9216/47500]	Loss: 0.3835	LR: 0.020000
Training Epoch: 21 [9472/47500]	Loss: 0.5053	LR: 0.020000
Training Epoch: 21 [9728/47500]	Loss: 0.4053	LR: 0.020000
Training Epoch: 21 [9984/47500]	Loss: 0.3521	LR: 0.020000
Training Epoch: 21 [10240/47500]	Loss: 0.4254	LR: 0.020000
Training Epoch: 21 [10496/47500]	Loss: 0.3681	LR: 0.020000
Training Epoch: 21 [10752/47500]	Loss: 0.5225	LR: 0.020000
Training Epoch: 21 [11008/47500]	Loss: 0.4369	LR: 0.020000
Training Epoch: 21 [11264/47500]	Loss: 0.4191	LR: 0.020000
Training Epoch: 21 [11520/47500]	Loss: 0.4210	LR: 0.020000
Training Epoch: 21 [11776/47500]	Loss: 0.3742	LR: 0.020000
Training Epoch: 21 [12032/47500]	Loss: 0.4195	LR: 0.020000
Training Epoch: 21 [12288/47500]	Loss: 0.3480	LR: 0.020000
Training Epoch: 21 [12544/47500]	Loss: 0.3743	LR: 0.020000
Training Epoch: 21 [12800/47500]	Loss: 0.5049	LR: 0.020000
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Training Epoch: 21 [13312/47500]	Loss: 0.5230	LR: 0.020000
Training Epoch: 21 [13568/47500]	Loss: 0.4664	LR: 0.020000
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Training Epoch: 21 [14336/47500]	Loss: 0.4251	LR: 0.020000
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Training Epoch: 21 [15616/47500]	Loss: 0.3616	LR: 0.020000
Training Epoch: 21 [15872/47500]	Loss: 0.3744	LR: 0.020000
Training Epoch: 21 [16128/47500]	Loss: 0.3916	LR: 0.020000
Training Epoch: 21 [16384/47500]	Loss: 0.4796	LR: 0.020000
Training Epoch: 21 [16640/47500]	Loss: 0.4544	LR: 0.020000
Training Epoch: 21 [16896/47500]	Loss: 0.4305	LR: 0.020000
Training Epoch: 21 [17152/47500]	Loss: 0.4239	LR: 0.020000
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Training Epoch: 21 [27904/47500]	Loss: 0.5087	LR: 0.020000
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Training Epoch: 21 [28416/47500]	Loss: 0.4786	LR: 0.020000
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Training Epoch: 21 [38656/47500]	Loss: 0.3114	LR: 0.020000
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Training Epoch: 21 [39936/47500]	Loss: 0.5896	LR: 0.020000
Training Epoch: 21 [40192/47500]	Loss: 0.4260	LR: 0.020000
Training Epoch: 21 [40448/47500]	Loss: 0.4087	LR: 0.020000
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Training Epoch: 21 [41728/47500]	Loss: 0.5054	LR: 0.020000
Training Epoch: 21 [41984/47500]	Loss: 0.4295	LR: 0.020000
Training Epoch: 21 [42240/47500]	Loss: 0.4001	LR: 0.020000
Training Epoch: 21 [42496/47500]	Loss: 0.5901	LR: 0.020000
Training Epoch: 21 [42752/47500]	Loss: 0.4952	LR: 0.020000
Training Epoch: 21 [43008/47500]	Loss: 0.3919	LR: 0.020000
Training Epoch: 21 [43264/47500]	Loss: 0.3880	LR: 0.020000
Training Epoch: 21 [43520/47500]	Loss: 0.5092	LR: 0.020000
Training Epoch: 21 [43776/47500]	Loss: 0.5055	LR: 0.020000
Training Epoch: 21 [44032/47500]	Loss: 0.5361	LR: 0.020000
Training Epoch: 21 [44288/47500]	Loss: 0.5047	LR: 0.020000
Training Epoch: 21 [44544/47500]	Loss: 0.5762	LR: 0.020000
Training Epoch: 21 [44800/47500]	Loss: 0.3322	LR: 0.020000
Training Epoch: 21 [45056/47500]	Loss: 0.5154	LR: 0.020000
Training Epoch: 21 [45312/47500]	Loss: 0.3798	LR: 0.020000
Training Epoch: 21 [45568/47500]	Loss: 0.4669	LR: 0.020000
Training Epoch: 21 [45824/47500]	Loss: 0.5578	LR: 0.020000
Training Epoch: 21 [46080/47500]	Loss: 0.4830	LR: 0.020000
Training Epoch: 21 [46336/47500]	Loss: 0.4279	LR: 0.020000
Training Epoch: 21 [46592/47500]	Loss: 0.4707	LR: 0.020000
Training Epoch: 21 [46848/47500]	Loss: 0.5030	LR: 0.020000
Training Epoch: 21 [47104/47500]	Loss: 0.5799	LR: 0.020000
Training Epoch: 21 [47360/47500]	Loss: 0.5321	LR: 0.020000
Training Epoch: 21 [47500/47500]	Loss: 0.3749	LR: 0.020000
Epoch 21 - Average Train Loss: 0.4503, Train Accuracy: 0.8510
Epoch 21 training time consumed: 28.26s
Evaluating Network.....
Test set: Epoch: 21, Average loss: 0.0031, Accuracy: 0.7664, Time consumed:0.87s
Training Epoch: 22 [256/47500]	Loss: 0.4344	LR: 0.020000
Training Epoch: 22 [512/47500]	Loss: 0.3832	LR: 0.020000
Training Epoch: 22 [768/47500]	Loss: 0.4728	LR: 0.020000
Training Epoch: 22 [1024/47500]	Loss: 0.4832	LR: 0.020000
Training Epoch: 22 [1280/47500]	Loss: 0.4234	LR: 0.020000
Training Epoch: 22 [1536/47500]	Loss: 0.3810	LR: 0.020000
Training Epoch: 22 [1792/47500]	Loss: 0.4794	LR: 0.020000
Training Epoch: 22 [2048/47500]	Loss: 0.4502	LR: 0.020000
Training Epoch: 22 [2304/47500]	Loss: 0.3940	LR: 0.020000
Training Epoch: 22 [2560/47500]	Loss: 0.4195	LR: 0.020000
Training Epoch: 22 [2816/47500]	Loss: 0.4676	LR: 0.020000
Training Epoch: 22 [3072/47500]	Loss: 0.3706	LR: 0.020000
Training Epoch: 22 [3328/47500]	Loss: 0.3394	LR: 0.020000
Training Epoch: 22 [3584/47500]	Loss: 0.5209	LR: 0.020000
Training Epoch: 22 [3840/47500]	Loss: 0.3726	LR: 0.020000
Training Epoch: 22 [4096/47500]	Loss: 0.4289	LR: 0.020000
Training Epoch: 22 [4352/47500]	Loss: 0.4899	LR: 0.020000
Training Epoch: 22 [4608/47500]	Loss: 0.3867	LR: 0.020000
Training Epoch: 22 [4864/47500]	Loss: 0.3964	LR: 0.020000
Training Epoch: 22 [5120/47500]	Loss: 0.3417	LR: 0.020000
Training Epoch: 22 [5376/47500]	Loss: 0.3553	LR: 0.020000
Training Epoch: 22 [5632/47500]	Loss: 0.3711	LR: 0.020000
Training Epoch: 22 [5888/47500]	Loss: 0.3891	LR: 0.020000
Training Epoch: 22 [6144/47500]	Loss: 0.2978	LR: 0.020000
Training Epoch: 22 [6400/47500]	Loss: 0.3718	LR: 0.020000
Training Epoch: 22 [6656/47500]	Loss: 0.3979	LR: 0.020000
Training Epoch: 22 [6912/47500]	Loss: 0.4864	LR: 0.020000
Training Epoch: 22 [7168/47500]	Loss: 0.2971	LR: 0.020000
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Training Epoch: 22 [7680/47500]	Loss: 0.4035	LR: 0.020000
Training Epoch: 22 [7936/47500]	Loss: 0.3246	LR: 0.020000
Training Epoch: 22 [8192/47500]	Loss: 0.3986	LR: 0.020000
Training Epoch: 22 [8448/47500]	Loss: 0.4092	LR: 0.020000
Training Epoch: 22 [8704/47500]	Loss: 0.4403	LR: 0.020000
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Training Epoch: 22 [10240/47500]	Loss: 0.4905	LR: 0.020000
Training Epoch: 22 [10496/47500]	Loss: 0.3876	LR: 0.020000
Training Epoch: 22 [10752/47500]	Loss: 0.4863	LR: 0.020000
Training Epoch: 22 [11008/47500]	Loss: 0.4864	LR: 0.020000
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Training Epoch: 22 [11520/47500]	Loss: 0.3917	LR: 0.020000
Training Epoch: 22 [11776/47500]	Loss: 0.4013	LR: 0.020000
Training Epoch: 22 [12032/47500]	Loss: 0.3832	LR: 0.020000
Training Epoch: 22 [12288/47500]	Loss: 0.4094	LR: 0.020000
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Training Epoch: 22 [12800/47500]	Loss: 0.5357	LR: 0.020000
Training Epoch: 22 [13056/47500]	Loss: 0.4396	LR: 0.020000
Training Epoch: 22 [13312/47500]	Loss: 0.3759	LR: 0.020000
Training Epoch: 22 [13568/47500]	Loss: 0.3646	LR: 0.020000
Training Epoch: 22 [13824/47500]	Loss: 0.3448	LR: 0.020000
Training Epoch: 22 [14080/47500]	Loss: 0.3629	LR: 0.020000
Training Epoch: 22 [14336/47500]	Loss: 0.4418	LR: 0.020000
Training Epoch: 22 [14592/47500]	Loss: 0.4667	LR: 0.020000
Training Epoch: 22 [14848/47500]	Loss: 0.3258	LR: 0.020000
Training Epoch: 22 [15104/47500]	Loss: 0.4678	LR: 0.020000
Training Epoch: 22 [15360/47500]	Loss: 0.4676	LR: 0.020000
Training Epoch: 22 [15616/47500]	Loss: 0.4092	LR: 0.020000
Training Epoch: 22 [15872/47500]	Loss: 0.3840	LR: 0.020000
Training Epoch: 22 [16128/47500]	Loss: 0.3418	LR: 0.020000
Training Epoch: 22 [16384/47500]	Loss: 0.3736	LR: 0.020000
Training Epoch: 22 [16640/47500]	Loss: 0.3927	LR: 0.020000
Training Epoch: 22 [16896/47500]	Loss: 0.3924	LR: 0.020000
Training Epoch: 22 [17152/47500]	Loss: 0.6106	LR: 0.020000
Training Epoch: 22 [17408/47500]	Loss: 0.4434	LR: 0.020000
Training Epoch: 22 [17664/47500]	Loss: 0.5294	LR: 0.020000
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Training Epoch: 22 [20736/47500]	Loss: 0.4108	LR: 0.020000
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Training Epoch: 22 [22016/47500]	Loss: 0.4575	LR: 0.020000
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Training Epoch: 22 [22528/47500]	Loss: 0.3700	LR: 0.020000
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Training Epoch: 22 [28416/47500]	Loss: 0.4092	LR: 0.020000
Training Epoch: 22 [28672/47500]	Loss: 0.5251	LR: 0.020000
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Training Epoch: 22 [29952/47500]	Loss: 0.4174	LR: 0.020000
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Training Epoch: 22 [31744/47500]	Loss: 0.4219	LR: 0.020000
Training Epoch: 22 [32000/47500]	Loss: 0.5148	LR: 0.020000
Training Epoch: 22 [32256/47500]	Loss: 0.4037	LR: 0.020000
Training Epoch: 22 [32512/47500]	Loss: 0.3776	LR: 0.020000
Training Epoch: 22 [32768/47500]	Loss: 0.4868	LR: 0.020000
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Training Epoch: 22 [35584/47500]	Loss: 0.3916	LR: 0.020000
Training Epoch: 22 [35840/47500]	Loss: 0.5072	LR: 0.020000
Training Epoch: 22 [36096/47500]	Loss: 0.3901	LR: 0.020000
Training Epoch: 22 [36352/47500]	Loss: 0.4629	LR: 0.020000
Training Epoch: 22 [36608/47500]	Loss: 0.3708	LR: 0.020000
Training Epoch: 22 [36864/47500]	Loss: 0.4696	LR: 0.020000
Training Epoch: 22 [37120/47500]	Loss: 0.4323	LR: 0.020000
Training Epoch: 22 [37376/47500]	Loss: 0.4155	LR: 0.020000
Training Epoch: 22 [37632/47500]	Loss: 0.4485	LR: 0.020000
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Training Epoch: 22 [38656/47500]	Loss: 0.3252	LR: 0.020000
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Training Epoch: 22 [40448/47500]	Loss: 0.5288	LR: 0.020000
Training Epoch: 22 [40704/47500]	Loss: 0.3685	LR: 0.020000
Training Epoch: 22 [40960/47500]	Loss: 0.4985	LR: 0.020000
Training Epoch: 22 [41216/47500]	Loss: 0.4358	LR: 0.020000
Training Epoch: 22 [41472/47500]	Loss: 0.5937	LR: 0.020000
Training Epoch: 22 [41728/47500]	Loss: 0.4676	LR: 0.020000
Training Epoch: 22 [41984/47500]	Loss: 0.4259	LR: 0.020000
Training Epoch: 22 [42240/47500]	Loss: 0.5467	LR: 0.020000
Training Epoch: 22 [42496/47500]	Loss: 0.3716	LR: 0.020000
Training Epoch: 22 [42752/47500]	Loss: 0.5218	LR: 0.020000
Training Epoch: 22 [43008/47500]	Loss: 0.4622	LR: 0.020000
Training Epoch: 22 [43264/47500]	Loss: 0.4350	LR: 0.020000
Training Epoch: 22 [43520/47500]	Loss: 0.4307	LR: 0.020000
Training Epoch: 22 [43776/47500]	Loss: 0.4234	LR: 0.020000
Training Epoch: 22 [44032/47500]	Loss: 0.5240	LR: 0.020000
Training Epoch: 22 [44288/47500]	Loss: 0.4804	LR: 0.020000
Training Epoch: 22 [44544/47500]	Loss: 0.4928	LR: 0.020000
Training Epoch: 22 [44800/47500]	Loss: 0.4311	LR: 0.020000
Training Epoch: 22 [45056/47500]	Loss: 0.5272	LR: 0.020000
Training Epoch: 22 [45312/47500]	Loss: 0.4459	LR: 0.020000
Training Epoch: 22 [45568/47500]	Loss: 0.4439	LR: 0.020000
Training Epoch: 22 [45824/47500]	Loss: 0.4461	LR: 0.020000
Training Epoch: 22 [46080/47500]	Loss: 0.4663	LR: 0.020000
Training Epoch: 22 [46336/47500]	Loss: 0.4312	LR: 0.020000
Training Epoch: 22 [46592/47500]	Loss: 0.4990	LR: 0.020000
Training Epoch: 22 [46848/47500]	Loss: 0.5286	LR: 0.020000
Training Epoch: 22 [47104/47500]	Loss: 0.5143	LR: 0.020000
Training Epoch: 22 [47360/47500]	Loss: 0.4117	LR: 0.020000
Training Epoch: 22 [47500/47500]	Loss: 0.3929	LR: 0.020000
Epoch 22 - Average Train Loss: 0.4326, Train Accuracy: 0.8574
Epoch 22 training time consumed: 28.26s
Evaluating Network.....
Test set: Epoch: 22, Average loss: 0.0031, Accuracy: 0.7700, Time consumed:0.92s
Training Epoch: 23 [256/47500]	Loss: 0.3992	LR: 0.020000
Training Epoch: 23 [512/47500]	Loss: 0.4780	LR: 0.020000
Training Epoch: 23 [768/47500]	Loss: 0.4416	LR: 0.020000
Training Epoch: 23 [1024/47500]	Loss: 0.3960	LR: 0.020000
Training Epoch: 23 [1280/47500]	Loss: 0.3506	LR: 0.020000
Training Epoch: 23 [1536/47500]	Loss: 0.4210	LR: 0.020000
Training Epoch: 23 [1792/47500]	Loss: 0.3753	LR: 0.020000
Training Epoch: 23 [2048/47500]	Loss: 0.4833	LR: 0.020000
Training Epoch: 23 [2304/47500]	Loss: 0.4768	LR: 0.020000
Training Epoch: 23 [2560/47500]	Loss: 0.4789	LR: 0.020000
Training Epoch: 23 [2816/47500]	Loss: 0.3964	LR: 0.020000
Training Epoch: 23 [3072/47500]	Loss: 0.3426	LR: 0.020000
Training Epoch: 23 [3328/47500]	Loss: 0.4215	LR: 0.020000
Training Epoch: 23 [3584/47500]	Loss: 0.3984	LR: 0.020000
Training Epoch: 23 [3840/47500]	Loss: 0.3515	LR: 0.020000
Training Epoch: 23 [4096/47500]	Loss: 0.3728	LR: 0.020000
Training Epoch: 23 [4352/47500]	Loss: 0.4012	LR: 0.020000
Training Epoch: 23 [4608/47500]	Loss: 0.4494	LR: 0.020000
Training Epoch: 23 [4864/47500]	Loss: 0.4636	LR: 0.020000
Training Epoch: 23 [5120/47500]	Loss: 0.3454	LR: 0.020000
Training Epoch: 23 [5376/47500]	Loss: 0.3777	LR: 0.020000
Training Epoch: 23 [5632/47500]	Loss: 0.3657	LR: 0.020000
Training Epoch: 23 [5888/47500]	Loss: 0.4601	LR: 0.020000
Training Epoch: 23 [6144/47500]	Loss: 0.4188	LR: 0.020000
Training Epoch: 23 [6400/47500]	Loss: 0.3949	LR: 0.020000
Training Epoch: 23 [6656/47500]	Loss: 0.3205	LR: 0.020000
Training Epoch: 23 [6912/47500]	Loss: 0.3618	LR: 0.020000
Training Epoch: 23 [7168/47500]	Loss: 0.4050	LR: 0.020000
Training Epoch: 23 [7424/47500]	Loss: 0.4023	LR: 0.020000
Training Epoch: 23 [7680/47500]	Loss: 0.4445	LR: 0.020000
Training Epoch: 23 [7936/47500]	Loss: 0.4972	LR: 0.020000
Training Epoch: 23 [8192/47500]	Loss: 0.4431	LR: 0.020000
Training Epoch: 23 [8448/47500]	Loss: 0.3693	LR: 0.020000
Training Epoch: 23 [8704/47500]	Loss: 0.3326	LR: 0.020000
Training Epoch: 23 [8960/47500]	Loss: 0.3590	LR: 0.020000
Training Epoch: 23 [9216/47500]	Loss: 0.3670	LR: 0.020000
Training Epoch: 23 [9472/47500]	Loss: 0.4506	LR: 0.020000
Training Epoch: 23 [9728/47500]	Loss: 0.2845	LR: 0.020000
Training Epoch: 23 [9984/47500]	Loss: 0.3583	LR: 0.020000
Training Epoch: 23 [10240/47500]	Loss: 0.3208	LR: 0.020000
Training Epoch: 23 [10496/47500]	Loss: 0.4290	LR: 0.020000
Training Epoch: 23 [10752/47500]	Loss: 0.4423	LR: 0.020000
Training Epoch: 23 [11008/47500]	Loss: 0.3331	LR: 0.020000
Training Epoch: 23 [11264/47500]	Loss: 0.4419	LR: 0.020000
Training Epoch: 23 [11520/47500]	Loss: 0.3988	LR: 0.020000
Training Epoch: 23 [11776/47500]	Loss: 0.4218	LR: 0.020000
Training Epoch: 23 [12032/47500]	Loss: 0.5386	LR: 0.020000
Training Epoch: 23 [12288/47500]	Loss: 0.3896	LR: 0.020000
Training Epoch: 23 [12544/47500]	Loss: 0.3233	LR: 0.020000
Training Epoch: 23 [12800/47500]	Loss: 0.3449	LR: 0.020000
Training Epoch: 23 [13056/47500]	Loss: 0.3568	LR: 0.020000
Training Epoch: 23 [13312/47500]	Loss: 0.3289	LR: 0.020000
Training Epoch: 23 [13568/47500]	Loss: 0.4812	LR: 0.020000
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Training Epoch: 23 [15616/47500]	Loss: 0.4592	LR: 0.020000
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Training Epoch: 23 [16640/47500]	Loss: 0.3961	LR: 0.020000
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Training Epoch: 23 [17920/47500]	Loss: 0.3333	LR: 0.020000
Training Epoch: 23 [18176/47500]	Loss: 0.4339	LR: 0.020000
Training Epoch: 23 [18432/47500]	Loss: 0.4282	LR: 0.020000
Training Epoch: 23 [18688/47500]	Loss: 0.3573	LR: 0.020000
Training Epoch: 23 [18944/47500]	Loss: 0.3961	LR: 0.020000
Training Epoch: 23 [19200/47500]	Loss: 0.4526	LR: 0.020000
Training Epoch: 23 [19456/47500]	Loss: 0.4737	LR: 0.020000
Training Epoch: 23 [19712/47500]	Loss: 0.3274	LR: 0.020000
Training Epoch: 23 [19968/47500]	Loss: 0.4074	LR: 0.020000
Training Epoch: 23 [20224/47500]	Loss: 0.4893	LR: 0.020000
Training Epoch: 23 [20480/47500]	Loss: 0.4556	LR: 0.020000
Training Epoch: 23 [20736/47500]	Loss: 0.3355	LR: 0.020000
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Training Epoch: 23 [21504/47500]	Loss: 0.4164	LR: 0.020000
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Training Epoch: 23 [22016/47500]	Loss: 0.4512	LR: 0.020000
Training Epoch: 23 [22272/47500]	Loss: 0.4169	LR: 0.020000
Training Epoch: 23 [22528/47500]	Loss: 0.5046	LR: 0.020000
Training Epoch: 23 [22784/47500]	Loss: 0.4076	LR: 0.020000
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Training Epoch: 23 [24576/47500]	Loss: 0.4125	LR: 0.020000
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Training Epoch: 23 [26368/47500]	Loss: 0.4681	LR: 0.020000
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Training Epoch: 23 [28160/47500]	Loss: 0.3852	LR: 0.020000
Training Epoch: 23 [28416/47500]	Loss: 0.4290	LR: 0.020000
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Training Epoch: 23 [37376/47500]	Loss: 0.3969	LR: 0.020000
Training Epoch: 23 [37632/47500]	Loss: 0.4696	LR: 0.020000
Training Epoch: 23 [37888/47500]	Loss: 0.4379	LR: 0.020000
Training Epoch: 23 [38144/47500]	Loss: 0.3215	LR: 0.020000
Training Epoch: 23 [38400/47500]	Loss: 0.3697	LR: 0.020000
Training Epoch: 23 [38656/47500]	Loss: 0.4532	LR: 0.020000
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Training Epoch: 23 [39168/47500]	Loss: 0.4633	LR: 0.020000
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Training Epoch: 23 [39936/47500]	Loss: 0.3165	LR: 0.020000
Training Epoch: 23 [40192/47500]	Loss: 0.4780	LR: 0.020000
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Training Epoch: 23 [43520/47500]	Loss: 0.4850	LR: 0.020000
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Training Epoch: 23 [47500/47500]	Loss: 0.5340	LR: 0.020000
Epoch 23 - Average Train Loss: 0.4166, Train Accuracy: 0.8630
Epoch 23 training time consumed: 28.30s
Evaluating Network.....
Test set: Epoch: 23, Average loss: 0.0031, Accuracy: 0.7774, Time consumed:0.86s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_18h_12m_05s/ResNet18-Cifar20-seed2-ret50-23-best.pth
Training Epoch: 24 [256/47500]	Loss: 0.4274	LR: 0.020000
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Training Epoch: 24 [47500/47500]	Loss: 0.5114	LR: 0.020000
Epoch 24 - Average Train Loss: 0.3987, Train Accuracy: 0.8691
Epoch 24 training time consumed: 28.22s
Evaluating Network.....
Test set: Epoch: 24, Average loss: 0.0031, Accuracy: 0.7679, Time consumed:0.91s
Training Epoch: 25 [256/47500]	Loss: 0.3415	LR: 0.020000
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Training Epoch: 25 [20736/47500]	Loss: 0.3648	LR: 0.020000
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Training Epoch: 25 [21248/47500]	Loss: 0.2918	LR: 0.020000
Training Epoch: 25 [21504/47500]	Loss: 0.4422	LR: 0.020000
Training Epoch: 25 [21760/47500]	Loss: 0.3636	LR: 0.020000
Training Epoch: 25 [22016/47500]	Loss: 0.4599	LR: 0.020000
Training Epoch: 25 [22272/47500]	Loss: 0.3556	LR: 0.020000
Training Epoch: 25 [22528/47500]	Loss: 0.3793	LR: 0.020000
Training Epoch: 25 [22784/47500]	Loss: 0.3382	LR: 0.020000
Training Epoch: 25 [23040/47500]	Loss: 0.4689	LR: 0.020000
Training Epoch: 25 [23296/47500]	Loss: 0.3904	LR: 0.020000
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Training Epoch: 25 [23808/47500]	Loss: 0.4096	LR: 0.020000
Training Epoch: 25 [24064/47500]	Loss: 0.3414	LR: 0.020000
Training Epoch: 25 [24320/47500]	Loss: 0.4108	LR: 0.020000
Training Epoch: 25 [24576/47500]	Loss: 0.2987	LR: 0.020000
Training Epoch: 25 [24832/47500]	Loss: 0.3519	LR: 0.020000
Training Epoch: 25 [25088/47500]	Loss: 0.4165	LR: 0.020000
Training Epoch: 25 [25344/47500]	Loss: 0.3767	LR: 0.020000
Training Epoch: 25 [25600/47500]	Loss: 0.3714	LR: 0.020000
Training Epoch: 25 [25856/47500]	Loss: 0.3914	LR: 0.020000
Training Epoch: 25 [26112/47500]	Loss: 0.4440	LR: 0.020000
Training Epoch: 25 [26368/47500]	Loss: 0.5260	LR: 0.020000
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Training Epoch: 25 [27136/47500]	Loss: 0.3621	LR: 0.020000
Training Epoch: 25 [27392/47500]	Loss: 0.4055	LR: 0.020000
Training Epoch: 25 [27648/47500]	Loss: 0.4323	LR: 0.020000
Training Epoch: 25 [27904/47500]	Loss: 0.3844	LR: 0.020000
Training Epoch: 25 [28160/47500]	Loss: 0.2946	LR: 0.020000
Training Epoch: 25 [28416/47500]	Loss: 0.3205	LR: 0.020000
Training Epoch: 25 [28672/47500]	Loss: 0.3620	LR: 0.020000
Training Epoch: 25 [28928/47500]	Loss: 0.5028	LR: 0.020000
Training Epoch: 25 [29184/47500]	Loss: 0.3165	LR: 0.020000
Training Epoch: 25 [29440/47500]	Loss: 0.4168	LR: 0.020000
Training Epoch: 25 [29696/47500]	Loss: 0.4389	LR: 0.020000
Training Epoch: 25 [29952/47500]	Loss: 0.4418	LR: 0.020000
Training Epoch: 25 [30208/47500]	Loss: 0.4144	LR: 0.020000
Training Epoch: 25 [30464/47500]	Loss: 0.3735	LR: 0.020000
Training Epoch: 25 [30720/47500]	Loss: 0.3258	LR: 0.020000
Training Epoch: 25 [30976/47500]	Loss: 0.3567	LR: 0.020000
Training Epoch: 25 [31232/47500]	Loss: 0.4301	LR: 0.020000
Training Epoch: 25 [31488/47500]	Loss: 0.3160	LR: 0.020000
Training Epoch: 25 [31744/47500]	Loss: 0.4404	LR: 0.020000
Training Epoch: 25 [32000/47500]	Loss: 0.3192	LR: 0.020000
Training Epoch: 25 [32256/47500]	Loss: 0.3794	LR: 0.020000
Training Epoch: 25 [32512/47500]	Loss: 0.3514	LR: 0.020000
Training Epoch: 25 [32768/47500]	Loss: 0.4409	LR: 0.020000
Training Epoch: 25 [33024/47500]	Loss: 0.3775	LR: 0.020000
Training Epoch: 25 [33280/47500]	Loss: 0.4543	LR: 0.020000
Training Epoch: 25 [33536/47500]	Loss: 0.4173	LR: 0.020000
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Training Epoch: 25 [34304/47500]	Loss: 0.4518	LR: 0.020000
Training Epoch: 25 [34560/47500]	Loss: 0.4374	LR: 0.020000
Training Epoch: 25 [34816/47500]	Loss: 0.3681	LR: 0.020000
Training Epoch: 25 [35072/47500]	Loss: 0.3889	LR: 0.020000
Training Epoch: 25 [35328/47500]	Loss: 0.3302	LR: 0.020000
Training Epoch: 25 [35584/47500]	Loss: 0.4473	LR: 0.020000
Training Epoch: 25 [35840/47500]	Loss: 0.4350	LR: 0.020000
Training Epoch: 25 [36096/47500]	Loss: 0.6199	LR: 0.020000
Training Epoch: 25 [36352/47500]	Loss: 0.4814	LR: 0.020000
Training Epoch: 25 [36608/47500]	Loss: 0.4393	LR: 0.020000
Training Epoch: 25 [36864/47500]	Loss: 0.3822	LR: 0.020000
Training Epoch: 25 [37120/47500]	Loss: 0.3283	LR: 0.020000
Training Epoch: 25 [37376/47500]	Loss: 0.3877	LR: 0.020000
Training Epoch: 25 [37632/47500]	Loss: 0.4152	LR: 0.020000
Training Epoch: 25 [37888/47500]	Loss: 0.3532	LR: 0.020000
Training Epoch: 25 [38144/47500]	Loss: 0.3551	LR: 0.020000
Training Epoch: 25 [38400/47500]	Loss: 0.3638	LR: 0.020000
Training Epoch: 25 [38656/47500]	Loss: 0.4079	LR: 0.020000
Training Epoch: 25 [38912/47500]	Loss: 0.3504	LR: 0.020000
Training Epoch: 25 [39168/47500]	Loss: 0.4258	LR: 0.020000
Training Epoch: 25 [39424/47500]	Loss: 0.4687	LR: 0.020000
Training Epoch: 25 [39680/47500]	Loss: 0.4207	LR: 0.020000
Training Epoch: 25 [39936/47500]	Loss: 0.3330	LR: 0.020000
Training Epoch: 25 [40192/47500]	Loss: 0.4509	LR: 0.020000
Training Epoch: 25 [40448/47500]	Loss: 0.3929	LR: 0.020000
Training Epoch: 25 [40704/47500]	Loss: 0.4127	LR: 0.020000
Training Epoch: 25 [40960/47500]	Loss: 0.4819	LR: 0.020000
Training Epoch: 25 [41216/47500]	Loss: 0.3483	LR: 0.020000
Training Epoch: 25 [41472/47500]	Loss: 0.3177	LR: 0.020000
Training Epoch: 25 [41728/47500]	Loss: 0.3981	LR: 0.020000
Training Epoch: 25 [41984/47500]	Loss: 0.4119	LR: 0.020000
Training Epoch: 25 [42240/47500]	Loss: 0.4718	LR: 0.020000
Training Epoch: 25 [42496/47500]	Loss: 0.4004	LR: 0.020000
Training Epoch: 25 [42752/47500]	Loss: 0.3265	LR: 0.020000
Training Epoch: 25 [43008/47500]	Loss: 0.4011	LR: 0.020000
Training Epoch: 25 [43264/47500]	Loss: 0.4761	LR: 0.020000
Training Epoch: 25 [43520/47500]	Loss: 0.3400	LR: 0.020000
Training Epoch: 25 [43776/47500]	Loss: 0.4447	LR: 0.020000
Training Epoch: 25 [44032/47500]	Loss: 0.4360	LR: 0.020000
Training Epoch: 25 [44288/47500]	Loss: 0.3774	LR: 0.020000
Training Epoch: 25 [44544/47500]	Loss: 0.4672	LR: 0.020000
Training Epoch: 25 [44800/47500]	Loss: 0.4534	LR: 0.020000
Training Epoch: 25 [45056/47500]	Loss: 0.3673	LR: 0.020000
Training Epoch: 25 [45312/47500]	Loss: 0.3889	LR: 0.020000
Training Epoch: 25 [45568/47500]	Loss: 0.3969	LR: 0.020000
Training Epoch: 25 [45824/47500]	Loss: 0.3762	LR: 0.020000
Training Epoch: 25 [46080/47500]	Loss: 0.3806	LR: 0.020000
Training Epoch: 25 [46336/47500]	Loss: 0.3496	LR: 0.020000
Training Epoch: 25 [46592/47500]	Loss: 0.4561	LR: 0.020000
Training Epoch: 25 [46848/47500]	Loss: 0.4785	LR: 0.020000
Training Epoch: 25 [47104/47500]	Loss: 0.4069	LR: 0.020000
Training Epoch: 25 [47360/47500]	Loss: 0.3674	LR: 0.020000
Training Epoch: 25 [47500/47500]	Loss: 0.4721	LR: 0.020000
Epoch 25 - Average Train Loss: 0.3856, Train Accuracy: 0.8707
Epoch 25 training time consumed: 28.21s
Evaluating Network.....
Test set: Epoch: 25, Average loss: 0.0031, Accuracy: 0.7677, Time consumed:0.88s
Training Epoch: 26 [256/47500]	Loss: 0.3495	LR: 0.020000
Training Epoch: 26 [512/47500]	Loss: 0.3197	LR: 0.020000
Training Epoch: 26 [768/47500]	Loss: 0.3249	LR: 0.020000
Training Epoch: 26 [1024/47500]	Loss: 0.3382	LR: 0.020000
Training Epoch: 26 [1280/47500]	Loss: 0.2966	LR: 0.020000
Training Epoch: 26 [1536/47500]	Loss: 0.2802	LR: 0.020000
Training Epoch: 26 [1792/47500]	Loss: 0.3601	LR: 0.020000
Training Epoch: 26 [2048/47500]	Loss: 0.4104	LR: 0.020000
Training Epoch: 26 [2304/47500]	Loss: 0.4081	LR: 0.020000
Training Epoch: 26 [2560/47500]	Loss: 0.4103	LR: 0.020000
Training Epoch: 26 [2816/47500]	Loss: 0.3944	LR: 0.020000
Training Epoch: 26 [3072/47500]	Loss: 0.2991	LR: 0.020000
Training Epoch: 26 [3328/47500]	Loss: 0.2887	LR: 0.020000
Training Epoch: 26 [3584/47500]	Loss: 0.3652	LR: 0.020000
Training Epoch: 26 [3840/47500]	Loss: 0.2978	LR: 0.020000
Training Epoch: 26 [4096/47500]	Loss: 0.3784	LR: 0.020000
Training Epoch: 26 [4352/47500]	Loss: 0.2762	LR: 0.020000
Training Epoch: 26 [4608/47500]	Loss: 0.3292	LR: 0.020000
Training Epoch: 26 [4864/47500]	Loss: 0.3585	LR: 0.020000
Training Epoch: 26 [5120/47500]	Loss: 0.4644	LR: 0.020000
Training Epoch: 26 [5376/47500]	Loss: 0.3376	LR: 0.020000
Training Epoch: 26 [5632/47500]	Loss: 0.3962	LR: 0.020000
Training Epoch: 26 [5888/47500]	Loss: 0.3630	LR: 0.020000
Training Epoch: 26 [6144/47500]	Loss: 0.2775	LR: 0.020000
Training Epoch: 26 [6400/47500]	Loss: 0.3749	LR: 0.020000
Training Epoch: 26 [6656/47500]	Loss: 0.3814	LR: 0.020000
Training Epoch: 26 [6912/47500]	Loss: 0.2685	LR: 0.020000
Training Epoch: 26 [7168/47500]	Loss: 0.3197	LR: 0.020000
Training Epoch: 26 [7424/47500]	Loss: 0.3491	LR: 0.020000
Training Epoch: 26 [7680/47500]	Loss: 0.3138	LR: 0.020000
Training Epoch: 26 [7936/47500]	Loss: 0.3250	LR: 0.020000
Training Epoch: 26 [8192/47500]	Loss: 0.3590	LR: 0.020000
Training Epoch: 26 [8448/47500]	Loss: 0.3199	LR: 0.020000
Training Epoch: 26 [8704/47500]	Loss: 0.3679	LR: 0.020000
Training Epoch: 26 [8960/47500]	Loss: 0.4100	LR: 0.020000
Training Epoch: 26 [9216/47500]	Loss: 0.2695	LR: 0.020000
Training Epoch: 26 [9472/47500]	Loss: 0.4142	LR: 0.020000
Training Epoch: 26 [9728/47500]	Loss: 0.3949	LR: 0.020000
Training Epoch: 26 [9984/47500]	Loss: 0.3962	LR: 0.020000
Training Epoch: 26 [10240/47500]	Loss: 0.4149	LR: 0.020000
Training Epoch: 26 [10496/47500]	Loss: 0.3449	LR: 0.020000
Training Epoch: 26 [10752/47500]	Loss: 0.3216	LR: 0.020000
Training Epoch: 26 [11008/47500]	Loss: 0.3169	LR: 0.020000
Training Epoch: 26 [11264/47500]	Loss: 0.4401	LR: 0.020000
Training Epoch: 26 [11520/47500]	Loss: 0.3524	LR: 0.020000
Training Epoch: 26 [11776/47500]	Loss: 0.3389	LR: 0.020000
Training Epoch: 26 [12032/47500]	Loss: 0.3192	LR: 0.020000
Training Epoch: 26 [12288/47500]	Loss: 0.3689	LR: 0.020000
Training Epoch: 26 [12544/47500]	Loss: 0.3063	LR: 0.020000
Training Epoch: 26 [12800/47500]	Loss: 0.3257	LR: 0.020000
Training Epoch: 26 [13056/47500]	Loss: 0.3420	LR: 0.020000
Training Epoch: 26 [13312/47500]	Loss: 0.3706	LR: 0.020000
Training Epoch: 26 [13568/47500]	Loss: 0.3974	LR: 0.020000
Training Epoch: 26 [13824/47500]	Loss: 0.3752	LR: 0.020000
Training Epoch: 26 [14080/47500]	Loss: 0.4366	LR: 0.020000
Training Epoch: 26 [14336/47500]	Loss: 0.2568	LR: 0.020000
Training Epoch: 26 [14592/47500]	Loss: 0.3978	LR: 0.020000
Training Epoch: 26 [14848/47500]	Loss: 0.3219	LR: 0.020000
Training Epoch: 26 [15104/47500]	Loss: 0.3990	LR: 0.020000
Training Epoch: 26 [15360/47500]	Loss: 0.4203	LR: 0.020000
Training Epoch: 26 [15616/47500]	Loss: 0.3461	LR: 0.020000
Training Epoch: 26 [15872/47500]	Loss: 0.3121	LR: 0.020000
Training Epoch: 26 [16128/47500]	Loss: 0.3349	LR: 0.020000
Training Epoch: 26 [16384/47500]	Loss: 0.3301	LR: 0.020000
Training Epoch: 26 [16640/47500]	Loss: 0.3307	LR: 0.020000
Training Epoch: 26 [16896/47500]	Loss: 0.4293	LR: 0.020000
Training Epoch: 26 [17152/47500]	Loss: 0.3879	LR: 0.020000
Training Epoch: 26 [17408/47500]	Loss: 0.2921	LR: 0.020000
Training Epoch: 26 [17664/47500]	Loss: 0.3891	LR: 0.020000
Training Epoch: 26 [17920/47500]	Loss: 0.3447	LR: 0.020000
Training Epoch: 26 [18176/47500]	Loss: 0.2935	LR: 0.020000
Training Epoch: 26 [18432/47500]	Loss: 0.3785	LR: 0.020000
Training Epoch: 26 [18688/47500]	Loss: 0.3683	LR: 0.020000
Training Epoch: 26 [18944/47500]	Loss: 0.3485	LR: 0.020000
Training Epoch: 26 [19200/47500]	Loss: 0.3942	LR: 0.020000
Training Epoch: 26 [19456/47500]	Loss: 0.3051	LR: 0.020000
Training Epoch: 26 [19712/47500]	Loss: 0.3082	LR: 0.020000
Training Epoch: 26 [19968/47500]	Loss: 0.4957	LR: 0.020000
Training Epoch: 26 [20224/47500]	Loss: 0.3710	LR: 0.020000
Training Epoch: 26 [20480/47500]	Loss: 0.4795	LR: 0.020000
Training Epoch: 26 [20736/47500]	Loss: 0.4708	LR: 0.020000
Training Epoch: 26 [20992/47500]	Loss: 0.3626	LR: 0.020000
Training Epoch: 26 [21248/47500]	Loss: 0.2984	LR: 0.020000
Training Epoch: 26 [21504/47500]	Loss: 0.3263	LR: 0.020000
Training Epoch: 26 [21760/47500]	Loss: 0.4126	LR: 0.020000
Training Epoch: 26 [22016/47500]	Loss: 0.3827	LR: 0.020000
Training Epoch: 26 [22272/47500]	Loss: 0.3166	LR: 0.020000
Training Epoch: 26 [22528/47500]	Loss: 0.3963	LR: 0.020000
Training Epoch: 26 [22784/47500]	Loss: 0.2728	LR: 0.020000
Training Epoch: 26 [23040/47500]	Loss: 0.3622	LR: 0.020000
Training Epoch: 26 [23296/47500]	Loss: 0.3799	LR: 0.020000
Training Epoch: 26 [23552/47500]	Loss: 0.2886	LR: 0.020000
Training Epoch: 26 [23808/47500]	Loss: 0.3951	LR: 0.020000
Training Epoch: 26 [24064/47500]	Loss: 0.4854	LR: 0.020000
Training Epoch: 26 [24320/47500]	Loss: 0.4242	LR: 0.020000
Training Epoch: 26 [24576/47500]	Loss: 0.4029	LR: 0.020000
Training Epoch: 26 [24832/47500]	Loss: 0.4196	LR: 0.020000
Training Epoch: 26 [25088/47500]	Loss: 0.3172	LR: 0.020000
Training Epoch: 26 [25344/47500]	Loss: 0.3906	LR: 0.020000
Training Epoch: 26 [25600/47500]	Loss: 0.3459	LR: 0.020000
Training Epoch: 26 [25856/47500]	Loss: 0.4593	LR: 0.020000
Training Epoch: 26 [26112/47500]	Loss: 0.3974	LR: 0.020000
Training Epoch: 26 [26368/47500]	Loss: 0.3417	LR: 0.020000
Training Epoch: 26 [26624/47500]	Loss: 0.3783	LR: 0.020000
Training Epoch: 26 [26880/47500]	Loss: 0.4001	LR: 0.020000
Training Epoch: 26 [27136/47500]	Loss: 0.3866	LR: 0.020000
Training Epoch: 26 [27392/47500]	Loss: 0.3435	LR: 0.020000
Training Epoch: 26 [27648/47500]	Loss: 0.3998	LR: 0.020000
Training Epoch: 26 [27904/47500]	Loss: 0.3423	LR: 0.020000
Training Epoch: 26 [28160/47500]	Loss: 0.4415	LR: 0.020000
Training Epoch: 26 [28416/47500]	Loss: 0.3513	LR: 0.020000
Training Epoch: 26 [28672/47500]	Loss: 0.3966	LR: 0.020000
Training Epoch: 26 [28928/47500]	Loss: 0.3540	LR: 0.020000
Training Epoch: 26 [29184/47500]	Loss: 0.3772	LR: 0.020000
Training Epoch: 26 [29440/47500]	Loss: 0.3234	LR: 0.020000
Training Epoch: 26 [29696/47500]	Loss: 0.3968	LR: 0.020000
Training Epoch: 26 [29952/47500]	Loss: 0.3699	LR: 0.020000
Training Epoch: 26 [30208/47500]	Loss: 0.3304	LR: 0.020000
Training Epoch: 26 [30464/47500]	Loss: 0.3732	LR: 0.020000
Training Epoch: 26 [30720/47500]	Loss: 0.4073	LR: 0.020000
Training Epoch: 26 [30976/47500]	Loss: 0.3282	LR: 0.020000
Training Epoch: 26 [31232/47500]	Loss: 0.3724	LR: 0.020000
Training Epoch: 26 [31488/47500]	Loss: 0.3752	LR: 0.020000
Training Epoch: 26 [31744/47500]	Loss: 0.3555	LR: 0.020000
Training Epoch: 26 [32000/47500]	Loss: 0.4944	LR: 0.020000
Training Epoch: 26 [32256/47500]	Loss: 0.4218	LR: 0.020000
Training Epoch: 26 [32512/47500]	Loss: 0.4263	LR: 0.020000
Training Epoch: 26 [32768/47500]	Loss: 0.4018	LR: 0.020000
Training Epoch: 26 [33024/47500]	Loss: 0.3437	LR: 0.020000
Training Epoch: 26 [33280/47500]	Loss: 0.4019	LR: 0.020000
Training Epoch: 26 [33536/47500]	Loss: 0.3300	LR: 0.020000
Training Epoch: 26 [33792/47500]	Loss: 0.4680	LR: 0.020000
Training Epoch: 26 [34048/47500]	Loss: 0.3797	LR: 0.020000
Training Epoch: 26 [34304/47500]	Loss: 0.3472	LR: 0.020000
Training Epoch: 26 [34560/47500]	Loss: 0.4159	LR: 0.020000
Training Epoch: 26 [34816/47500]	Loss: 0.3484	LR: 0.020000
Training Epoch: 26 [35072/47500]	Loss: 0.4208	LR: 0.020000
Training Epoch: 26 [35328/47500]	Loss: 0.4636	LR: 0.020000
Training Epoch: 26 [35584/47500]	Loss: 0.5565	LR: 0.020000
Training Epoch: 26 [35840/47500]	Loss: 0.3082	LR: 0.020000
Training Epoch: 26 [36096/47500]	Loss: 0.3557	LR: 0.020000
Training Epoch: 26 [36352/47500]	Loss: 0.3680	LR: 0.020000
Training Epoch: 26 [36608/47500]	Loss: 0.3947	LR: 0.020000
Training Epoch: 26 [36864/47500]	Loss: 0.5125	LR: 0.020000
Training Epoch: 26 [37120/47500]	Loss: 0.3852	LR: 0.020000
Training Epoch: 26 [37376/47500]	Loss: 0.4057	LR: 0.020000
Training Epoch: 26 [37632/47500]	Loss: 0.4264	LR: 0.020000
Training Epoch: 26 [37888/47500]	Loss: 0.3365	LR: 0.020000
Training Epoch: 26 [38144/47500]	Loss: 0.3437	LR: 0.020000
Training Epoch: 26 [38400/47500]	Loss: 0.4069	LR: 0.020000
Training Epoch: 26 [38656/47500]	Loss: 0.3769	LR: 0.020000
Training Epoch: 26 [38912/47500]	Loss: 0.3659	LR: 0.020000
Training Epoch: 26 [39168/47500]	Loss: 0.3376	LR: 0.020000
Training Epoch: 26 [39424/47500]	Loss: 0.3960	LR: 0.020000
Training Epoch: 26 [39680/47500]	Loss: 0.4593	LR: 0.020000
Training Epoch: 26 [39936/47500]	Loss: 0.4039	LR: 0.020000
Training Epoch: 26 [40192/47500]	Loss: 0.3711	LR: 0.020000
Training Epoch: 26 [40448/47500]	Loss: 0.3922	LR: 0.020000
Training Epoch: 26 [40704/47500]	Loss: 0.4303	LR: 0.020000
Training Epoch: 26 [40960/47500]	Loss: 0.2143	LR: 0.020000
Training Epoch: 26 [41216/47500]	Loss: 0.3380	LR: 0.020000
Training Epoch: 26 [41472/47500]	Loss: 0.2828	LR: 0.020000
Training Epoch: 26 [41728/47500]	Loss: 0.4692	LR: 0.020000
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Training Epoch: 26 [42240/47500]	Loss: 0.3298	LR: 0.020000
Training Epoch: 26 [42496/47500]	Loss: 0.3900	LR: 0.020000
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Training Epoch: 26 [43008/47500]	Loss: 0.3584	LR: 0.020000
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Training Epoch: 26 [43520/47500]	Loss: 0.4272	LR: 0.020000
Training Epoch: 26 [43776/47500]	Loss: 0.4200	LR: 0.020000
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Training Epoch: 26 [45056/47500]	Loss: 0.4019	LR: 0.020000
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Training Epoch: 26 [46848/47500]	Loss: 0.3902	LR: 0.020000
Training Epoch: 26 [47104/47500]	Loss: 0.4536	LR: 0.020000
Training Epoch: 26 [47360/47500]	Loss: 0.2906	LR: 0.020000
Training Epoch: 26 [47500/47500]	Loss: 0.3888	LR: 0.020000
Epoch 26 - Average Train Loss: 0.3741, Train Accuracy: 0.8740
Epoch 26 training time consumed: 28.47s
Evaluating Network.....
Test set: Epoch: 26, Average loss: 0.0033, Accuracy: 0.7619, Time consumed:0.87s
Training Epoch: 27 [256/47500]	Loss: 0.4549	LR: 0.020000
Training Epoch: 27 [512/47500]	Loss: 0.3594	LR: 0.020000
Training Epoch: 27 [768/47500]	Loss: 0.2984	LR: 0.020000
Training Epoch: 27 [1024/47500]	Loss: 0.3621	LR: 0.020000
Training Epoch: 27 [1280/47500]	Loss: 0.3696	LR: 0.020000
Training Epoch: 27 [1536/47500]	Loss: 0.3244	LR: 0.020000
Training Epoch: 27 [1792/47500]	Loss: 0.2786	LR: 0.020000
Training Epoch: 27 [2048/47500]	Loss: 0.4286	LR: 0.020000
Training Epoch: 27 [2304/47500]	Loss: 0.2920	LR: 0.020000
Training Epoch: 27 [2560/47500]	Loss: 0.4388	LR: 0.020000
Training Epoch: 27 [2816/47500]	Loss: 0.3531	LR: 0.020000
Training Epoch: 27 [3072/47500]	Loss: 0.3301	LR: 0.020000
Training Epoch: 27 [3328/47500]	Loss: 0.4067	LR: 0.020000
Training Epoch: 27 [3584/47500]	Loss: 0.3104	LR: 0.020000
Training Epoch: 27 [3840/47500]	Loss: 0.3668	LR: 0.020000
Training Epoch: 27 [4096/47500]	Loss: 0.2697	LR: 0.020000
Training Epoch: 27 [4352/47500]	Loss: 0.3067	LR: 0.020000
Training Epoch: 27 [4608/47500]	Loss: 0.2366	LR: 0.020000
Training Epoch: 27 [4864/47500]	Loss: 0.3933	LR: 0.020000
Training Epoch: 27 [5120/47500]	Loss: 0.2893	LR: 0.020000
Training Epoch: 27 [5376/47500]	Loss: 0.3741	LR: 0.020000
Training Epoch: 27 [5632/47500]	Loss: 0.3540	LR: 0.020000
Training Epoch: 27 [5888/47500]	Loss: 0.3210	LR: 0.020000
Training Epoch: 27 [6144/47500]	Loss: 0.2537	LR: 0.020000
Training Epoch: 27 [6400/47500]	Loss: 0.2952	LR: 0.020000
Training Epoch: 27 [6656/47500]	Loss: 0.4765	LR: 0.020000
Training Epoch: 27 [6912/47500]	Loss: 0.3025	LR: 0.020000
Training Epoch: 27 [7168/47500]	Loss: 0.3261	LR: 0.020000
Training Epoch: 27 [7424/47500]	Loss: 0.3755	LR: 0.020000
Training Epoch: 27 [7680/47500]	Loss: 0.3324	LR: 0.020000
Training Epoch: 27 [7936/47500]	Loss: 0.3621	LR: 0.020000
Training Epoch: 27 [8192/47500]	Loss: 0.3300	LR: 0.020000
Training Epoch: 27 [8448/47500]	Loss: 0.3657	LR: 0.020000
Training Epoch: 27 [8704/47500]	Loss: 0.3072	LR: 0.020000
Training Epoch: 27 [8960/47500]	Loss: 0.3061	LR: 0.020000
Training Epoch: 27 [9216/47500]	Loss: 0.3032	LR: 0.020000
Training Epoch: 27 [9472/47500]	Loss: 0.4098	LR: 0.020000
Training Epoch: 27 [9728/47500]	Loss: 0.2962	LR: 0.020000
Training Epoch: 27 [9984/47500]	Loss: 0.4125	LR: 0.020000
Training Epoch: 27 [10240/47500]	Loss: 0.3561	LR: 0.020000
Training Epoch: 27 [10496/47500]	Loss: 0.3832	LR: 0.020000
Training Epoch: 27 [10752/47500]	Loss: 0.3420	LR: 0.020000
Training Epoch: 27 [11008/47500]	Loss: 0.4160	LR: 0.020000
Training Epoch: 27 [11264/47500]	Loss: 0.4439	LR: 0.020000
Training Epoch: 27 [11520/47500]	Loss: 0.3219	LR: 0.020000
Training Epoch: 27 [11776/47500]	Loss: 0.2970	LR: 0.020000
Training Epoch: 27 [12032/47500]	Loss: 0.3382	LR: 0.020000
Training Epoch: 27 [12288/47500]	Loss: 0.3751	LR: 0.020000
Training Epoch: 27 [12544/47500]	Loss: 0.3470	LR: 0.020000
Training Epoch: 27 [12800/47500]	Loss: 0.3504	LR: 0.020000
Training Epoch: 27 [13056/47500]	Loss: 0.3994	LR: 0.020000
Training Epoch: 27 [13312/47500]	Loss: 0.3796	LR: 0.020000
Training Epoch: 27 [13568/47500]	Loss: 0.3311	LR: 0.020000
Training Epoch: 27 [13824/47500]	Loss: 0.3281	LR: 0.020000
Training Epoch: 27 [14080/47500]	Loss: 0.4062	LR: 0.020000
Training Epoch: 27 [14336/47500]	Loss: 0.3169	LR: 0.020000
Training Epoch: 27 [14592/47500]	Loss: 0.4197	LR: 0.020000
Training Epoch: 27 [14848/47500]	Loss: 0.2949	LR: 0.020000
Training Epoch: 27 [15104/47500]	Loss: 0.3359	LR: 0.020000
Training Epoch: 27 [15360/47500]	Loss: 0.3764	LR: 0.020000
Training Epoch: 27 [15616/47500]	Loss: 0.2723	LR: 0.020000
Training Epoch: 27 [15872/47500]	Loss: 0.3892	LR: 0.020000
Training Epoch: 27 [16128/47500]	Loss: 0.3204	LR: 0.020000
Training Epoch: 27 [16384/47500]	Loss: 0.4134	LR: 0.020000
Training Epoch: 27 [16640/47500]	Loss: 0.3573	LR: 0.020000
Training Epoch: 27 [16896/47500]	Loss: 0.3679	LR: 0.020000
Training Epoch: 27 [17152/47500]	Loss: 0.3359	LR: 0.020000
Training Epoch: 27 [17408/47500]	Loss: 0.3858	LR: 0.020000
Training Epoch: 27 [17664/47500]	Loss: 0.3540	LR: 0.020000
Training Epoch: 27 [17920/47500]	Loss: 0.3545	LR: 0.020000
Training Epoch: 27 [18176/47500]	Loss: 0.3575	LR: 0.020000
Training Epoch: 27 [18432/47500]	Loss: 0.3295	LR: 0.020000
Training Epoch: 27 [18688/47500]	Loss: 0.3118	LR: 0.020000
Training Epoch: 27 [18944/47500]	Loss: 0.4085	LR: 0.020000
Training Epoch: 27 [19200/47500]	Loss: 0.2867	LR: 0.020000
Training Epoch: 27 [19456/47500]	Loss: 0.3010	LR: 0.020000
Training Epoch: 27 [19712/47500]	Loss: 0.3457	LR: 0.020000
Training Epoch: 27 [19968/47500]	Loss: 0.2870	LR: 0.020000
Training Epoch: 27 [20224/47500]	Loss: 0.3493	LR: 0.020000
Training Epoch: 27 [20480/47500]	Loss: 0.3987	LR: 0.020000
Training Epoch: 27 [20736/47500]	Loss: 0.2595	LR: 0.020000
Training Epoch: 27 [20992/47500]	Loss: 0.3303	LR: 0.020000
Training Epoch: 27 [21248/47500]	Loss: 0.3562	LR: 0.020000
Training Epoch: 27 [21504/47500]	Loss: 0.3128	LR: 0.020000
Training Epoch: 27 [21760/47500]	Loss: 0.3262	LR: 0.020000
Training Epoch: 27 [22016/47500]	Loss: 0.3510	LR: 0.020000
Training Epoch: 27 [22272/47500]	Loss: 0.3407	LR: 0.020000
Training Epoch: 27 [22528/47500]	Loss: 0.3872	LR: 0.020000
Training Epoch: 27 [22784/47500]	Loss: 0.2827	LR: 0.020000
Training Epoch: 27 [23040/47500]	Loss: 0.3136	LR: 0.020000
Training Epoch: 27 [23296/47500]	Loss: 0.4184	LR: 0.020000
Training Epoch: 27 [23552/47500]	Loss: 0.3416	LR: 0.020000
Training Epoch: 27 [23808/47500]	Loss: 0.3049	LR: 0.020000
Training Epoch: 27 [24064/47500]	Loss: 0.3032	LR: 0.020000
Training Epoch: 27 [24320/47500]	Loss: 0.3592	LR: 0.020000
Training Epoch: 27 [24576/47500]	Loss: 0.3428	LR: 0.020000
Training Epoch: 27 [24832/47500]	Loss: 0.3095	LR: 0.020000
Training Epoch: 27 [25088/47500]	Loss: 0.3230	LR: 0.020000
Training Epoch: 27 [25344/47500]	Loss: 0.3300	LR: 0.020000
Training Epoch: 27 [25600/47500]	Loss: 0.3859	LR: 0.020000
Training Epoch: 27 [25856/47500]	Loss: 0.2944	LR: 0.020000
Training Epoch: 27 [26112/47500]	Loss: 0.4077	LR: 0.020000
Training Epoch: 27 [26368/47500]	Loss: 0.3205	LR: 0.020000
Training Epoch: 27 [26624/47500]	Loss: 0.3922	LR: 0.020000
Training Epoch: 27 [26880/47500]	Loss: 0.3695	LR: 0.020000
Training Epoch: 27 [27136/47500]	Loss: 0.4189	LR: 0.020000
Training Epoch: 27 [27392/47500]	Loss: 0.3597	LR: 0.020000
Training Epoch: 27 [27648/47500]	Loss: 0.3399	LR: 0.020000
Training Epoch: 27 [27904/47500]	Loss: 0.3177	LR: 0.020000
Training Epoch: 27 [28160/47500]	Loss: 0.3454	LR: 0.020000
Training Epoch: 27 [28416/47500]	Loss: 0.3020	LR: 0.020000
Training Epoch: 27 [28672/47500]	Loss: 0.3140	LR: 0.020000
Training Epoch: 27 [28928/47500]	Loss: 0.2938	LR: 0.020000
Training Epoch: 27 [29184/47500]	Loss: 0.4008	LR: 0.020000
Training Epoch: 27 [29440/47500]	Loss: 0.3344	LR: 0.020000
Training Epoch: 27 [29696/47500]	Loss: 0.3180	LR: 0.020000
Training Epoch: 27 [29952/47500]	Loss: 0.2656	LR: 0.020000
Training Epoch: 27 [30208/47500]	Loss: 0.3709	LR: 0.020000
Training Epoch: 27 [30464/47500]	Loss: 0.3931	LR: 0.020000
Training Epoch: 27 [30720/47500]	Loss: 0.3596	LR: 0.020000
Training Epoch: 27 [30976/47500]	Loss: 0.4092	LR: 0.020000
Training Epoch: 27 [31232/47500]	Loss: 0.3929	LR: 0.020000
Training Epoch: 27 [31488/47500]	Loss: 0.3907	LR: 0.020000
Training Epoch: 27 [31744/47500]	Loss: 0.3494	LR: 0.020000
Training Epoch: 27 [32000/47500]	Loss: 0.3502	LR: 0.020000
Training Epoch: 27 [32256/47500]	Loss: 0.4250	LR: 0.020000
Training Epoch: 27 [32512/47500]	Loss: 0.3853	LR: 0.020000
Training Epoch: 27 [32768/47500]	Loss: 0.3343	LR: 0.020000
Training Epoch: 27 [33024/47500]	Loss: 0.5395	LR: 0.020000
Training Epoch: 27 [33280/47500]	Loss: 0.4447	LR: 0.020000
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Training Epoch: 27 [33792/47500]	Loss: 0.3665	LR: 0.020000
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Training Epoch: 27 [34560/47500]	Loss: 0.3121	LR: 0.020000
Training Epoch: 27 [34816/47500]	Loss: 0.3848	LR: 0.020000
Training Epoch: 27 [35072/47500]	Loss: 0.4152	LR: 0.020000
Training Epoch: 27 [35328/47500]	Loss: 0.3231	LR: 0.020000
Training Epoch: 27 [35584/47500]	Loss: 0.3445	LR: 0.020000
Training Epoch: 27 [35840/47500]	Loss: 0.4591	LR: 0.020000
Training Epoch: 27 [36096/47500]	Loss: 0.3114	LR: 0.020000
Training Epoch: 27 [36352/47500]	Loss: 0.3605	LR: 0.020000
Training Epoch: 27 [36608/47500]	Loss: 0.2858	LR: 0.020000
Training Epoch: 27 [36864/47500]	Loss: 0.4647	LR: 0.020000
Training Epoch: 27 [37120/47500]	Loss: 0.3450	LR: 0.020000
Training Epoch: 27 [37376/47500]	Loss: 0.3581	LR: 0.020000
Training Epoch: 27 [37632/47500]	Loss: 0.3748	LR: 0.020000
Training Epoch: 27 [37888/47500]	Loss: 0.2763	LR: 0.020000
Training Epoch: 27 [38144/47500]	Loss: 0.3118	LR: 0.020000
Training Epoch: 27 [38400/47500]	Loss: 0.3941	LR: 0.020000
Training Epoch: 27 [38656/47500]	Loss: 0.3599	LR: 0.020000
Training Epoch: 27 [38912/47500]	Loss: 0.5044	LR: 0.020000
Training Epoch: 27 [39168/47500]	Loss: 0.4077	LR: 0.020000
Training Epoch: 27 [39424/47500]	Loss: 0.4345	LR: 0.020000
Training Epoch: 27 [39680/47500]	Loss: 0.4007	LR: 0.020000
Training Epoch: 27 [39936/47500]	Loss: 0.3589	LR: 0.020000
Training Epoch: 27 [40192/47500]	Loss: 0.3400	LR: 0.020000
Training Epoch: 27 [40448/47500]	Loss: 0.3532	LR: 0.020000
Training Epoch: 27 [40704/47500]	Loss: 0.4126	LR: 0.020000
Training Epoch: 27 [40960/47500]	Loss: 0.3488	LR: 0.020000
Training Epoch: 27 [41216/47500]	Loss: 0.4318	LR: 0.020000
Training Epoch: 27 [41472/47500]	Loss: 0.3208	LR: 0.020000
Training Epoch: 27 [41728/47500]	Loss: 0.3770	LR: 0.020000
Training Epoch: 27 [41984/47500]	Loss: 0.3005	LR: 0.020000
Training Epoch: 27 [42240/47500]	Loss: 0.3764	LR: 0.020000
Training Epoch: 27 [42496/47500]	Loss: 0.4304	LR: 0.020000
Training Epoch: 27 [42752/47500]	Loss: 0.5022	LR: 0.020000
Training Epoch: 27 [43008/47500]	Loss: 0.3679	LR: 0.020000
Training Epoch: 27 [43264/47500]	Loss: 0.4191	LR: 0.020000
Training Epoch: 27 [43520/47500]	Loss: 0.3550	LR: 0.020000
Training Epoch: 27 [43776/47500]	Loss: 0.4393	LR: 0.020000
Training Epoch: 27 [44032/47500]	Loss: 0.4507	LR: 0.020000
Training Epoch: 27 [44288/47500]	Loss: 0.4687	LR: 0.020000
Training Epoch: 27 [44544/47500]	Loss: 0.4082	LR: 0.020000
Training Epoch: 27 [44800/47500]	Loss: 0.3580	LR: 0.020000
Training Epoch: 27 [45056/47500]	Loss: 0.4181	LR: 0.020000
Training Epoch: 27 [45312/47500]	Loss: 0.3543	LR: 0.020000
Training Epoch: 27 [45568/47500]	Loss: 0.3871	LR: 0.020000
Training Epoch: 27 [45824/47500]	Loss: 0.3732	LR: 0.020000
Training Epoch: 27 [46080/47500]	Loss: 0.2839	LR: 0.020000
Training Epoch: 27 [46336/47500]	Loss: 0.3946	LR: 0.020000
Training Epoch: 27 [46592/47500]	Loss: 0.3951	LR: 0.020000
Training Epoch: 27 [46848/47500]	Loss: 0.4121	LR: 0.020000
Training Epoch: 27 [47104/47500]	Loss: 0.3826	LR: 0.020000
Training Epoch: 27 [47360/47500]	Loss: 0.3693	LR: 0.020000
Training Epoch: 27 [47500/47500]	Loss: 0.5005	LR: 0.020000
Epoch 27 - Average Train Loss: 0.3600, Train Accuracy: 0.8799
Epoch 27 training time consumed: 28.29s
Evaluating Network.....
Test set: Epoch: 27, Average loss: 0.0031, Accuracy: 0.7684, Time consumed:0.86s
Training Epoch: 28 [256/47500]	Loss: 0.3008	LR: 0.020000
Training Epoch: 28 [512/47500]	Loss: 0.4333	LR: 0.020000
Training Epoch: 28 [768/47500]	Loss: 0.3209	LR: 0.020000
Training Epoch: 28 [1024/47500]	Loss: 0.3178	LR: 0.020000
Training Epoch: 28 [1280/47500]	Loss: 0.2976	LR: 0.020000
Training Epoch: 28 [1536/47500]	Loss: 0.2809	LR: 0.020000
Training Epoch: 28 [1792/47500]	Loss: 0.4234	LR: 0.020000
Training Epoch: 28 [2048/47500]	Loss: 0.2319	LR: 0.020000
Training Epoch: 28 [2304/47500]	Loss: 0.4193	LR: 0.020000
Training Epoch: 28 [2560/47500]	Loss: 0.2966	LR: 0.020000
Training Epoch: 28 [2816/47500]	Loss: 0.3083	LR: 0.020000
Training Epoch: 28 [3072/47500]	Loss: 0.3492	LR: 0.020000
Training Epoch: 28 [3328/47500]	Loss: 0.3417	LR: 0.020000
Training Epoch: 28 [3584/47500]	Loss: 0.3603	LR: 0.020000
Training Epoch: 28 [3840/47500]	Loss: 0.3590	LR: 0.020000
Training Epoch: 28 [4096/47500]	Loss: 0.3890	LR: 0.020000
Training Epoch: 28 [4352/47500]	Loss: 0.3442	LR: 0.020000
Training Epoch: 28 [4608/47500]	Loss: 0.3190	LR: 0.020000
Training Epoch: 28 [4864/47500]	Loss: 0.3251	LR: 0.020000
Training Epoch: 28 [5120/47500]	Loss: 0.3532	LR: 0.020000
Training Epoch: 28 [5376/47500]	Loss: 0.3756	LR: 0.020000
Training Epoch: 28 [5632/47500]	Loss: 0.3256	LR: 0.020000
Training Epoch: 28 [5888/47500]	Loss: 0.2342	LR: 0.020000
Training Epoch: 28 [6144/47500]	Loss: 0.3640	LR: 0.020000
Training Epoch: 28 [6400/47500]	Loss: 0.3373	LR: 0.020000
Training Epoch: 28 [6656/47500]	Loss: 0.2555	LR: 0.020000
Training Epoch: 28 [6912/47500]	Loss: 0.2662	LR: 0.020000
Training Epoch: 28 [7168/47500]	Loss: 0.3848	LR: 0.020000
Training Epoch: 28 [7424/47500]	Loss: 0.3217	LR: 0.020000
Training Epoch: 28 [7680/47500]	Loss: 0.3119	LR: 0.020000
Training Epoch: 28 [7936/47500]	Loss: 0.3150	LR: 0.020000
Training Epoch: 28 [8192/47500]	Loss: 0.3230	LR: 0.020000
Training Epoch: 28 [8448/47500]	Loss: 0.3129	LR: 0.020000
Training Epoch: 28 [8704/47500]	Loss: 0.4047	LR: 0.020000
Training Epoch: 28 [8960/47500]	Loss: 0.3583	LR: 0.020000
Training Epoch: 28 [9216/47500]	Loss: 0.4398	LR: 0.020000
Training Epoch: 28 [9472/47500]	Loss: 0.3296	LR: 0.020000
Training Epoch: 28 [9728/47500]	Loss: 0.3341	LR: 0.020000
Training Epoch: 28 [9984/47500]	Loss: 0.3244	LR: 0.020000
Training Epoch: 28 [10240/47500]	Loss: 0.3571	LR: 0.020000
Training Epoch: 28 [10496/47500]	Loss: 0.3170	LR: 0.020000
Training Epoch: 28 [10752/47500]	Loss: 0.3874	LR: 0.020000
Training Epoch: 28 [11008/47500]	Loss: 0.3176	LR: 0.020000
Training Epoch: 28 [11264/47500]	Loss: 0.4150	LR: 0.020000
Training Epoch: 28 [11520/47500]	Loss: 0.3762	LR: 0.020000
Training Epoch: 28 [11776/47500]	Loss: 0.2665	LR: 0.020000
Training Epoch: 28 [12032/47500]	Loss: 0.2924	LR: 0.020000
Training Epoch: 28 [12288/47500]	Loss: 0.3145	LR: 0.020000
Training Epoch: 28 [12544/47500]	Loss: 0.2727	LR: 0.020000
Training Epoch: 28 [12800/47500]	Loss: 0.3644	LR: 0.020000
Training Epoch: 28 [13056/47500]	Loss: 0.3382	LR: 0.020000
Training Epoch: 28 [13312/47500]	Loss: 0.3265	LR: 0.020000
Training Epoch: 28 [13568/47500]	Loss: 0.3559	LR: 0.020000
Training Epoch: 28 [13824/47500]	Loss: 0.3573	LR: 0.020000
Training Epoch: 28 [14080/47500]	Loss: 0.2826	LR: 0.020000
Training Epoch: 28 [14336/47500]	Loss: 0.3658	LR: 0.020000
Training Epoch: 28 [14592/47500]	Loss: 0.3891	LR: 0.020000
Training Epoch: 28 [14848/47500]	Loss: 0.3367	LR: 0.020000
Training Epoch: 28 [15104/47500]	Loss: 0.3538	LR: 0.020000
Training Epoch: 28 [15360/47500]	Loss: 0.3287	LR: 0.020000
Training Epoch: 28 [15616/47500]	Loss: 0.3909	LR: 0.020000
Training Epoch: 28 [15872/47500]	Loss: 0.3740	LR: 0.020000
Training Epoch: 28 [16128/47500]	Loss: 0.2250	LR: 0.020000
Training Epoch: 28 [16384/47500]	Loss: 0.2700	LR: 0.020000
Training Epoch: 28 [16640/47500]	Loss: 0.3261	LR: 0.020000
Training Epoch: 28 [16896/47500]	Loss: 0.3492	LR: 0.020000
Training Epoch: 28 [17152/47500]	Loss: 0.3452	LR: 0.020000
Training Epoch: 28 [17408/47500]	Loss: 0.3943	LR: 0.020000
Training Epoch: 28 [17664/47500]	Loss: 0.3954	LR: 0.020000
Training Epoch: 28 [17920/47500]	Loss: 0.3521	LR: 0.020000
Training Epoch: 28 [18176/47500]	Loss: 0.3990	LR: 0.020000
Training Epoch: 28 [18432/47500]	Loss: 0.3185	LR: 0.020000
Training Epoch: 28 [18688/47500]	Loss: 0.3187	LR: 0.020000
Training Epoch: 28 [18944/47500]	Loss: 0.3593	LR: 0.020000
Training Epoch: 28 [19200/47500]	Loss: 0.3108	LR: 0.020000
Training Epoch: 28 [19456/47500]	Loss: 0.3239	LR: 0.020000
Training Epoch: 28 [19712/47500]	Loss: 0.2804	LR: 0.020000
Training Epoch: 28 [19968/47500]	Loss: 0.3120	LR: 0.020000
Training Epoch: 28 [20224/47500]	Loss: 0.3698	LR: 0.020000
Training Epoch: 28 [20480/47500]	Loss: 0.3135	LR: 0.020000
Training Epoch: 28 [20736/47500]	Loss: 0.3654	LR: 0.020000
Training Epoch: 28 [20992/47500]	Loss: 0.3909	LR: 0.020000
Training Epoch: 28 [21248/47500]	Loss: 0.3962	LR: 0.020000
Training Epoch: 28 [21504/47500]	Loss: 0.3606	LR: 0.020000
Training Epoch: 28 [21760/47500]	Loss: 0.4178	LR: 0.020000
Training Epoch: 28 [22016/47500]	Loss: 0.4275	LR: 0.020000
Training Epoch: 28 [22272/47500]	Loss: 0.3631	LR: 0.020000
Training Epoch: 28 [22528/47500]	Loss: 0.4038	LR: 0.020000
Training Epoch: 28 [22784/47500]	Loss: 0.2827	LR: 0.020000
Training Epoch: 28 [23040/47500]	Loss: 0.3591	LR: 0.020000
Training Epoch: 28 [23296/47500]	Loss: 0.3214	LR: 0.020000
Training Epoch: 28 [23552/47500]	Loss: 0.2960	LR: 0.020000
Training Epoch: 28 [23808/47500]	Loss: 0.3025	LR: 0.020000
Training Epoch: 28 [24064/47500]	Loss: 0.3286	LR: 0.020000
Training Epoch: 28 [24320/47500]	Loss: 0.4274	LR: 0.020000
Training Epoch: 28 [24576/47500]	Loss: 0.4709	LR: 0.020000
Training Epoch: 28 [24832/47500]	Loss: 0.2963	LR: 0.020000
Training Epoch: 28 [25088/47500]	Loss: 0.3709	LR: 0.020000
Training Epoch: 28 [25344/47500]	Loss: 0.3728	LR: 0.020000
Training Epoch: 28 [25600/47500]	Loss: 0.3053	LR: 0.020000
Training Epoch: 28 [25856/47500]	Loss: 0.2991	LR: 0.020000
Training Epoch: 28 [26112/47500]	Loss: 0.3469	LR: 0.020000
Training Epoch: 28 [26368/47500]	Loss: 0.3280	LR: 0.020000
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Training Epoch: 28 [26880/47500]	Loss: 0.3484	LR: 0.020000
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Training Epoch: 28 [27392/47500]	Loss: 0.4773	LR: 0.020000
Training Epoch: 28 [27648/47500]	Loss: 0.3706	LR: 0.020000
Training Epoch: 28 [27904/47500]	Loss: 0.3920	LR: 0.020000
Training Epoch: 28 [28160/47500]	Loss: 0.3284	LR: 0.020000
Training Epoch: 28 [28416/47500]	Loss: 0.2485	LR: 0.020000
Training Epoch: 28 [28672/47500]	Loss: 0.3842	LR: 0.020000
Training Epoch: 28 [28928/47500]	Loss: 0.3701	LR: 0.020000
Training Epoch: 28 [29184/47500]	Loss: 0.3575	LR: 0.020000
Training Epoch: 28 [29440/47500]	Loss: 0.4021	LR: 0.020000
Training Epoch: 28 [29696/47500]	Loss: 0.3117	LR: 0.020000
Training Epoch: 28 [29952/47500]	Loss: 0.3265	LR: 0.020000
Training Epoch: 28 [30208/47500]	Loss: 0.2711	LR: 0.020000
Training Epoch: 28 [30464/47500]	Loss: 0.4276	LR: 0.020000
Training Epoch: 28 [30720/47500]	Loss: 0.3351	LR: 0.020000
Training Epoch: 28 [30976/47500]	Loss: 0.4417	LR: 0.020000
Training Epoch: 28 [31232/47500]	Loss: 0.2966	LR: 0.020000
Training Epoch: 28 [31488/47500]	Loss: 0.4296	LR: 0.020000
Training Epoch: 28 [31744/47500]	Loss: 0.3024	LR: 0.020000
Training Epoch: 28 [32000/47500]	Loss: 0.3399	LR: 0.020000
Training Epoch: 28 [32256/47500]	Loss: 0.3020	LR: 0.020000
Training Epoch: 28 [32512/47500]	Loss: 0.3326	LR: 0.020000
Training Epoch: 28 [32768/47500]	Loss: 0.3783	LR: 0.020000
Training Epoch: 28 [33024/47500]	Loss: 0.3590	LR: 0.020000
Training Epoch: 28 [33280/47500]	Loss: 0.3571	LR: 0.020000
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Training Epoch: 28 [35072/47500]	Loss: 0.4119	LR: 0.020000
Training Epoch: 28 [35328/47500]	Loss: 0.3438	LR: 0.020000
Training Epoch: 28 [35584/47500]	Loss: 0.4522	LR: 0.020000
Training Epoch: 28 [35840/47500]	Loss: 0.3372	LR: 0.020000
Training Epoch: 28 [36096/47500]	Loss: 0.3190	LR: 0.020000
Training Epoch: 28 [36352/47500]	Loss: 0.2481	LR: 0.020000
Training Epoch: 28 [36608/47500]	Loss: 0.3305	LR: 0.020000
Training Epoch: 28 [36864/47500]	Loss: 0.3674	LR: 0.020000
Training Epoch: 28 [37120/47500]	Loss: 0.4099	LR: 0.020000
Training Epoch: 28 [37376/47500]	Loss: 0.4985	LR: 0.020000
Training Epoch: 28 [37632/47500]	Loss: 0.4053	LR: 0.020000
Training Epoch: 28 [37888/47500]	Loss: 0.3522	LR: 0.020000
Training Epoch: 28 [38144/47500]	Loss: 0.4073	LR: 0.020000
Training Epoch: 28 [38400/47500]	Loss: 0.3760	LR: 0.020000
Training Epoch: 28 [38656/47500]	Loss: 0.3101	LR: 0.020000
Training Epoch: 28 [38912/47500]	Loss: 0.4231	LR: 0.020000
Training Epoch: 28 [39168/47500]	Loss: 0.4083	LR: 0.020000
Training Epoch: 28 [39424/47500]	Loss: 0.4311	LR: 0.020000
Training Epoch: 28 [39680/47500]	Loss: 0.3551	LR: 0.020000
Training Epoch: 28 [39936/47500]	Loss: 0.3697	LR: 0.020000
Training Epoch: 28 [40192/47500]	Loss: 0.3715	LR: 0.020000
Training Epoch: 28 [40448/47500]	Loss: 0.4095	LR: 0.020000
Training Epoch: 28 [40704/47500]	Loss: 0.5695	LR: 0.020000
Training Epoch: 28 [40960/47500]	Loss: 0.3571	LR: 0.020000
Training Epoch: 28 [41216/47500]	Loss: 0.3751	LR: 0.020000
Training Epoch: 28 [41472/47500]	Loss: 0.3448	LR: 0.020000
Training Epoch: 28 [41728/47500]	Loss: 0.2997	LR: 0.020000
Training Epoch: 28 [41984/47500]	Loss: 0.3671	LR: 0.020000
Training Epoch: 28 [42240/47500]	Loss: 0.3532	LR: 0.020000
Training Epoch: 28 [42496/47500]	Loss: 0.4213	LR: 0.020000
Training Epoch: 28 [42752/47500]	Loss: 0.4451	LR: 0.020000
Training Epoch: 28 [43008/47500]	Loss: 0.3688	LR: 0.020000
Training Epoch: 28 [43264/47500]	Loss: 0.4975	LR: 0.020000
Training Epoch: 28 [43520/47500]	Loss: 0.4506	LR: 0.020000
Training Epoch: 28 [43776/47500]	Loss: 0.4116	LR: 0.020000
Training Epoch: 28 [44032/47500]	Loss: 0.2770	LR: 0.020000
Training Epoch: 28 [44288/47500]	Loss: 0.3416	LR: 0.020000
Training Epoch: 28 [44544/47500]	Loss: 0.3593	LR: 0.020000
Training Epoch: 28 [44800/47500]	Loss: 0.4831	LR: 0.020000
Training Epoch: 28 [45056/47500]	Loss: 0.3267	LR: 0.020000
Training Epoch: 28 [45312/47500]	Loss: 0.3344	LR: 0.020000
Training Epoch: 28 [45568/47500]	Loss: 0.4043	LR: 0.020000
Training Epoch: 28 [45824/47500]	Loss: 0.4672	LR: 0.020000
Training Epoch: 28 [46080/47500]	Loss: 0.4000	LR: 0.020000
Training Epoch: 28 [46336/47500]	Loss: 0.3585	LR: 0.020000
Training Epoch: 28 [46592/47500]	Loss: 0.3773	LR: 0.020000
Training Epoch: 28 [46848/47500]	Loss: 0.4580	LR: 0.020000
Training Epoch: 28 [47104/47500]	Loss: 0.3317	LR: 0.020000
Training Epoch: 28 [47360/47500]	Loss: 0.3580	LR: 0.020000
Training Epoch: 28 [47500/47500]	Loss: 0.4319	LR: 0.020000
Epoch 28 - Average Train Loss: 0.3560, Train Accuracy: 0.8822
Epoch 28 training time consumed: 28.25s
Evaluating Network.....
Test set: Epoch: 28, Average loss: 0.0035, Accuracy: 0.7537, Time consumed:0.84s
Training Epoch: 29 [256/47500]	Loss: 0.3510	LR: 0.020000
Training Epoch: 29 [512/47500]	Loss: 0.3257	LR: 0.020000
Training Epoch: 29 [768/47500]	Loss: 0.3001	LR: 0.020000
Training Epoch: 29 [1024/47500]	Loss: 0.2944	LR: 0.020000
Training Epoch: 29 [1280/47500]	Loss: 0.3753	LR: 0.020000
Training Epoch: 29 [1536/47500]	Loss: 0.2672	LR: 0.020000
Training Epoch: 29 [1792/47500]	Loss: 0.3149	LR: 0.020000
Training Epoch: 29 [2048/47500]	Loss: 0.3149	LR: 0.020000
Training Epoch: 29 [2304/47500]	Loss: 0.3302	LR: 0.020000
Training Epoch: 29 [2560/47500]	Loss: 0.4018	LR: 0.020000
Training Epoch: 29 [2816/47500]	Loss: 0.3285	LR: 0.020000
Training Epoch: 29 [3072/47500]	Loss: 0.3797	LR: 0.020000
Training Epoch: 29 [3328/47500]	Loss: 0.3521	LR: 0.020000
Training Epoch: 29 [3584/47500]	Loss: 0.3005	LR: 0.020000
Training Epoch: 29 [3840/47500]	Loss: 0.3015	LR: 0.020000
Training Epoch: 29 [4096/47500]	Loss: 0.2423	LR: 0.020000
Training Epoch: 29 [4352/47500]	Loss: 0.3144	LR: 0.020000
Training Epoch: 29 [4608/47500]	Loss: 0.3319	LR: 0.020000
Training Epoch: 29 [4864/47500]	Loss: 0.2695	LR: 0.020000
Training Epoch: 29 [5120/47500]	Loss: 0.3909	LR: 0.020000
Training Epoch: 29 [5376/47500]	Loss: 0.2740	LR: 0.020000
Training Epoch: 29 [5632/47500]	Loss: 0.2236	LR: 0.020000
Training Epoch: 29 [5888/47500]	Loss: 0.3225	LR: 0.020000
Training Epoch: 29 [6144/47500]	Loss: 0.3020	LR: 0.020000
Training Epoch: 29 [6400/47500]	Loss: 0.4122	LR: 0.020000
Training Epoch: 29 [6656/47500]	Loss: 0.3377	LR: 0.020000
Training Epoch: 29 [6912/47500]	Loss: 0.4620	LR: 0.020000
Training Epoch: 29 [7168/47500]	Loss: 0.2537	LR: 0.020000
Training Epoch: 29 [7424/47500]	Loss: 0.3655	LR: 0.020000
Training Epoch: 29 [7680/47500]	Loss: 0.3759	LR: 0.020000
Training Epoch: 29 [7936/47500]	Loss: 0.3965	LR: 0.020000
Training Epoch: 29 [8192/47500]	Loss: 0.3610	LR: 0.020000
Training Epoch: 29 [8448/47500]	Loss: 0.3017	LR: 0.020000
Training Epoch: 29 [8704/47500]	Loss: 0.2600	LR: 0.020000
Training Epoch: 29 [8960/47500]	Loss: 0.4339	LR: 0.020000
Training Epoch: 29 [9216/47500]	Loss: 0.3361	LR: 0.020000
Training Epoch: 29 [9472/47500]	Loss: 0.3207	LR: 0.020000
Training Epoch: 29 [9728/47500]	Loss: 0.4012	LR: 0.020000
Training Epoch: 29 [9984/47500]	Loss: 0.3568	LR: 0.020000
Training Epoch: 29 [10240/47500]	Loss: 0.3695	LR: 0.020000
Training Epoch: 29 [10496/47500]	Loss: 0.2666	LR: 0.020000
Training Epoch: 29 [10752/47500]	Loss: 0.3769	LR: 0.020000
Training Epoch: 29 [11008/47500]	Loss: 0.2911	LR: 0.020000
Training Epoch: 29 [11264/47500]	Loss: 0.4405	LR: 0.020000
Training Epoch: 29 [11520/47500]	Loss: 0.3589	LR: 0.020000
Training Epoch: 29 [11776/47500]	Loss: 0.3668	LR: 0.020000
Training Epoch: 29 [12032/47500]	Loss: 0.2016	LR: 0.020000
Training Epoch: 29 [12288/47500]	Loss: 0.3352	LR: 0.020000
Training Epoch: 29 [12544/47500]	Loss: 0.3015	LR: 0.020000
Training Epoch: 29 [12800/47500]	Loss: 0.2779	LR: 0.020000
Training Epoch: 29 [13056/47500]	Loss: 0.2989	LR: 0.020000
Training Epoch: 29 [13312/47500]	Loss: 0.2985	LR: 0.020000
Training Epoch: 29 [13568/47500]	Loss: 0.3560	LR: 0.020000
Training Epoch: 29 [13824/47500]	Loss: 0.3553	LR: 0.020000
Training Epoch: 29 [14080/47500]	Loss: 0.2903	LR: 0.020000
Training Epoch: 29 [14336/47500]	Loss: 0.3647	LR: 0.020000
Training Epoch: 29 [14592/47500]	Loss: 0.3114	LR: 0.020000
Training Epoch: 29 [14848/47500]	Loss: 0.3886	LR: 0.020000
Training Epoch: 29 [15104/47500]	Loss: 0.3732	LR: 0.020000
Training Epoch: 29 [15360/47500]	Loss: 0.4625	LR: 0.020000
Training Epoch: 29 [15616/47500]	Loss: 0.4032	LR: 0.020000
Training Epoch: 29 [15872/47500]	Loss: 0.3163	LR: 0.020000
Training Epoch: 29 [16128/47500]	Loss: 0.3273	LR: 0.020000
Training Epoch: 29 [16384/47500]	Loss: 0.3648	LR: 0.020000
Training Epoch: 29 [16640/47500]	Loss: 0.3564	LR: 0.020000
Training Epoch: 29 [16896/47500]	Loss: 0.2545	LR: 0.020000
Training Epoch: 29 [17152/47500]	Loss: 0.3193	LR: 0.020000
Training Epoch: 29 [17408/47500]	Loss: 0.3934	LR: 0.020000
Training Epoch: 29 [17664/47500]	Loss: 0.4437	LR: 0.020000
Training Epoch: 29 [17920/47500]	Loss: 0.4114	LR: 0.020000
Training Epoch: 29 [18176/47500]	Loss: 0.3023	LR: 0.020000
Training Epoch: 29 [18432/47500]	Loss: 0.3720	LR: 0.020000
Training Epoch: 29 [18688/47500]	Loss: 0.3682	LR: 0.020000
Training Epoch: 29 [18944/47500]	Loss: 0.3642	LR: 0.020000
Training Epoch: 29 [19200/47500]	Loss: 0.3480	LR: 0.020000
Training Epoch: 29 [19456/47500]	Loss: 0.3454	LR: 0.020000
Training Epoch: 29 [19712/47500]	Loss: 0.2926	LR: 0.020000
Training Epoch: 29 [19968/47500]	Loss: 0.3806	LR: 0.020000
Training Epoch: 29 [20224/47500]	Loss: 0.3249	LR: 0.020000
Training Epoch: 29 [20480/47500]	Loss: 0.3468	LR: 0.020000
Training Epoch: 29 [20736/47500]	Loss: 0.3575	LR: 0.020000
Training Epoch: 29 [20992/47500]	Loss: 0.3800	LR: 0.020000
Training Epoch: 29 [21248/47500]	Loss: 0.3542	LR: 0.020000
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Training Epoch: 29 [21760/47500]	Loss: 0.3482	LR: 0.020000
Training Epoch: 29 [22016/47500]	Loss: 0.2810	LR: 0.020000
Training Epoch: 29 [22272/47500]	Loss: 0.3322	LR: 0.020000
Training Epoch: 29 [22528/47500]	Loss: 0.4227	LR: 0.020000
Training Epoch: 29 [22784/47500]	Loss: 0.3851	LR: 0.020000
Training Epoch: 29 [23040/47500]	Loss: 0.3536	LR: 0.020000
Training Epoch: 29 [23296/47500]	Loss: 0.3659	LR: 0.020000
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Training Epoch: 29 [23808/47500]	Loss: 0.3337	LR: 0.020000
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Training Epoch: 29 [24576/47500]	Loss: 0.4434	LR: 0.020000
Training Epoch: 29 [24832/47500]	Loss: 0.3493	LR: 0.020000
Training Epoch: 29 [25088/47500]	Loss: 0.3136	LR: 0.020000
Training Epoch: 29 [25344/47500]	Loss: 0.2620	LR: 0.020000
Training Epoch: 29 [25600/47500]	Loss: 0.2707	LR: 0.020000
Training Epoch: 29 [25856/47500]	Loss: 0.3627	LR: 0.020000
Training Epoch: 29 [26112/47500]	Loss: 0.3844	LR: 0.020000
Training Epoch: 29 [26368/47500]	Loss: 0.3197	LR: 0.020000
Training Epoch: 29 [26624/47500]	Loss: 0.3317	LR: 0.020000
Training Epoch: 29 [26880/47500]	Loss: 0.3533	LR: 0.020000
Training Epoch: 29 [27136/47500]	Loss: 0.3482	LR: 0.020000
Training Epoch: 29 [27392/47500]	Loss: 0.3725	LR: 0.020000
Training Epoch: 29 [27648/47500]	Loss: 0.3880	LR: 0.020000
Training Epoch: 29 [27904/47500]	Loss: 0.3705	LR: 0.020000
Training Epoch: 29 [28160/47500]	Loss: 0.3797	LR: 0.020000
Training Epoch: 29 [28416/47500]	Loss: 0.3083	LR: 0.020000
Training Epoch: 29 [28672/47500]	Loss: 0.2996	LR: 0.020000
Training Epoch: 29 [28928/47500]	Loss: 0.3475	LR: 0.020000
Training Epoch: 29 [29184/47500]	Loss: 0.3884	LR: 0.020000
Training Epoch: 29 [29440/47500]	Loss: 0.2852	LR: 0.020000
Training Epoch: 29 [29696/47500]	Loss: 0.2893	LR: 0.020000
Training Epoch: 29 [29952/47500]	Loss: 0.3885	LR: 0.020000
Training Epoch: 29 [30208/47500]	Loss: 0.3468	LR: 0.020000
Training Epoch: 29 [30464/47500]	Loss: 0.3167	LR: 0.020000
Training Epoch: 29 [30720/47500]	Loss: 0.3733	LR: 0.020000
Training Epoch: 29 [30976/47500]	Loss: 0.2801	LR: 0.020000
Training Epoch: 29 [31232/47500]	Loss: 0.4009	LR: 0.020000
Training Epoch: 29 [31488/47500]	Loss: 0.3959	LR: 0.020000
Training Epoch: 29 [31744/47500]	Loss: 0.3391	LR: 0.020000
Training Epoch: 29 [32000/47500]	Loss: 0.3720	LR: 0.020000
Training Epoch: 29 [32256/47500]	Loss: 0.3210	LR: 0.020000
Training Epoch: 29 [32512/47500]	Loss: 0.4077	LR: 0.020000
Training Epoch: 29 [32768/47500]	Loss: 0.4000	LR: 0.020000
Training Epoch: 29 [33024/47500]	Loss: 0.3591	LR: 0.020000
Training Epoch: 29 [33280/47500]	Loss: 0.3821	LR: 0.020000
Training Epoch: 29 [33536/47500]	Loss: 0.3375	LR: 0.020000
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Training Epoch: 29 [34048/47500]	Loss: 0.3510	LR: 0.020000
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Training Epoch: 29 [34816/47500]	Loss: 0.2864	LR: 0.020000
Training Epoch: 29 [35072/47500]	Loss: 0.4420	LR: 0.020000
Training Epoch: 29 [35328/47500]	Loss: 0.3023	LR: 0.020000
Training Epoch: 29 [35584/47500]	Loss: 0.3163	LR: 0.020000
Training Epoch: 29 [35840/47500]	Loss: 0.4094	LR: 0.020000
Training Epoch: 29 [36096/47500]	Loss: 0.3281	LR: 0.020000
Training Epoch: 29 [36352/47500]	Loss: 0.3601	LR: 0.020000
Training Epoch: 29 [36608/47500]	Loss: 0.3390	LR: 0.020000
Training Epoch: 29 [36864/47500]	Loss: 0.2714	LR: 0.020000
Training Epoch: 29 [37120/47500]	Loss: 0.3903	LR: 0.020000
Training Epoch: 29 [37376/47500]	Loss: 0.4012	LR: 0.020000
Training Epoch: 29 [37632/47500]	Loss: 0.3108	LR: 0.020000
Training Epoch: 29 [37888/47500]	Loss: 0.4013	LR: 0.020000
Training Epoch: 29 [38144/47500]	Loss: 0.3689	LR: 0.020000
Training Epoch: 29 [38400/47500]	Loss: 0.3009	LR: 0.020000
Training Epoch: 29 [38656/47500]	Loss: 0.3643	LR: 0.020000
Training Epoch: 29 [38912/47500]	Loss: 0.2921	LR: 0.020000
Training Epoch: 29 [39168/47500]	Loss: 0.3579	LR: 0.020000
Training Epoch: 29 [39424/47500]	Loss: 0.3474	LR: 0.020000
Training Epoch: 29 [39680/47500]	Loss: 0.2887	LR: 0.020000
Training Epoch: 29 [39936/47500]	Loss: 0.2738	LR: 0.020000
Training Epoch: 29 [40192/47500]	Loss: 0.4288	LR: 0.020000
Training Epoch: 29 [40448/47500]	Loss: 0.4103	LR: 0.020000
Training Epoch: 29 [40704/47500]	Loss: 0.4522	LR: 0.020000
Training Epoch: 29 [40960/47500]	Loss: 0.2865	LR: 0.020000
Training Epoch: 29 [41216/47500]	Loss: 0.4883	LR: 0.020000
Training Epoch: 29 [41472/47500]	Loss: 0.3897	LR: 0.020000
Training Epoch: 29 [41728/47500]	Loss: 0.3342	LR: 0.020000
Training Epoch: 29 [41984/47500]	Loss: 0.3617	LR: 0.020000
Training Epoch: 29 [42240/47500]	Loss: 0.3821	LR: 0.020000
Training Epoch: 29 [42496/47500]	Loss: 0.4590	LR: 0.020000
Training Epoch: 29 [42752/47500]	Loss: 0.3200	LR: 0.020000
Training Epoch: 29 [43008/47500]	Loss: 0.3564	LR: 0.020000
Training Epoch: 29 [43264/47500]	Loss: 0.3456	LR: 0.020000
Training Epoch: 29 [43520/47500]	Loss: 0.2999	LR: 0.020000
Training Epoch: 29 [43776/47500]	Loss: 0.3842	LR: 0.020000
Training Epoch: 29 [44032/47500]	Loss: 0.3978	LR: 0.020000
Training Epoch: 29 [44288/47500]	Loss: 0.3295	LR: 0.020000
Training Epoch: 29 [44544/47500]	Loss: 0.3642	LR: 0.020000
Training Epoch: 29 [44800/47500]	Loss: 0.4118	LR: 0.020000
Training Epoch: 29 [45056/47500]	Loss: 0.3985	LR: 0.020000
Training Epoch: 29 [45312/47500]	Loss: 0.4004	LR: 0.020000
Training Epoch: 29 [45568/47500]	Loss: 0.3933	LR: 0.020000
Training Epoch: 29 [45824/47500]	Loss: 0.3594	LR: 0.020000
Training Epoch: 29 [46080/47500]	Loss: 0.3451	LR: 0.020000
Training Epoch: 29 [46336/47500]	Loss: 0.4529	LR: 0.020000
Training Epoch: 29 [46592/47500]	Loss: 0.3307	LR: 0.020000
Training Epoch: 29 [46848/47500]	Loss: 0.2874	LR: 0.020000
Training Epoch: 29 [47104/47500]	Loss: 0.3653	LR: 0.020000
Training Epoch: 29 [47360/47500]	Loss: 0.4197	LR: 0.020000
Training Epoch: 29 [47500/47500]	Loss: 0.3348	LR: 0.020000
Epoch 29 - Average Train Loss: 0.3491, Train Accuracy: 0.8828
Epoch 29 training time consumed: 28.49s
Evaluating Network.....
Test set: Epoch: 29, Average loss: 0.0033, Accuracy: 0.7677, Time consumed:0.89s
Training Epoch: 30 [256/47500]	Loss: 0.2878	LR: 0.004000
Training Epoch: 30 [512/47500]	Loss: 0.3233	LR: 0.004000
Training Epoch: 30 [768/47500]	Loss: 0.2876	LR: 0.004000
Training Epoch: 30 [1024/47500]	Loss: 0.2766	LR: 0.004000
Training Epoch: 30 [1280/47500]	Loss: 0.2584	LR: 0.004000
Training Epoch: 30 [1536/47500]	Loss: 0.2382	LR: 0.004000
Training Epoch: 30 [1792/47500]	Loss: 0.3003	LR: 0.004000
Training Epoch: 30 [2048/47500]	Loss: 0.2987	LR: 0.004000
Training Epoch: 30 [2304/47500]	Loss: 0.3336	LR: 0.004000
Training Epoch: 30 [2560/47500]	Loss: 0.2540	LR: 0.004000
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Training Epoch: 30 [47500/47500]	Loss: 0.1963	LR: 0.004000
Epoch 30 - Average Train Loss: 0.2262, Train Accuracy: 0.9277
Epoch 30 training time consumed: 28.36s
Evaluating Network.....
Test set: Epoch: 30, Average loss: 0.0027, Accuracy: 0.8043, Time consumed:0.86s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_18h_12m_05s/ResNet18-Cifar20-seed2-ret50-30-best.pth
Training Epoch: 31 [256/47500]	Loss: 0.2235	LR: 0.004000
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Training Epoch: 31 [43008/47500]	Loss: 0.1537	LR: 0.004000
Training Epoch: 31 [43264/47500]	Loss: 0.1381	LR: 0.004000
Training Epoch: 31 [43520/47500]	Loss: 0.1828	LR: 0.004000
Training Epoch: 31 [43776/47500]	Loss: 0.2608	LR: 0.004000
Training Epoch: 31 [44032/47500]	Loss: 0.1734	LR: 0.004000
Training Epoch: 31 [44288/47500]	Loss: 0.1508	LR: 0.004000
Training Epoch: 31 [44544/47500]	Loss: 0.1776	LR: 0.004000
Training Epoch: 31 [44800/47500]	Loss: 0.1989	LR: 0.004000
Training Epoch: 31 [45056/47500]	Loss: 0.1402	LR: 0.004000
Training Epoch: 31 [45312/47500]	Loss: 0.1873	LR: 0.004000
Training Epoch: 31 [45568/47500]	Loss: 0.2173	LR: 0.004000
Training Epoch: 31 [45824/47500]	Loss: 0.2306	LR: 0.004000
Training Epoch: 31 [46080/47500]	Loss: 0.1686	LR: 0.004000
Training Epoch: 31 [46336/47500]	Loss: 0.1735	LR: 0.004000
Training Epoch: 31 [46592/47500]	Loss: 0.1927	LR: 0.004000
Training Epoch: 31 [46848/47500]	Loss: 0.2024	LR: 0.004000
Training Epoch: 31 [47104/47500]	Loss: 0.2076	LR: 0.004000
Training Epoch: 31 [47360/47500]	Loss: 0.1827	LR: 0.004000
Training Epoch: 31 [47500/47500]	Loss: 0.1926	LR: 0.004000
Epoch 31 - Average Train Loss: 0.1858, Train Accuracy: 0.9422
Epoch 31 training time consumed: 28.47s
Evaluating Network.....
Test set: Epoch: 31, Average loss: 0.0028, Accuracy: 0.8036, Time consumed:0.86s
Training Epoch: 32 [256/47500]	Loss: 0.1439	LR: 0.004000
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Training Epoch: 32 [45056/47500]	Loss: 0.2576	LR: 0.004000
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Training Epoch: 32 [47360/47500]	Loss: 0.2213	LR: 0.004000
Training Epoch: 32 [47500/47500]	Loss: 0.1659	LR: 0.004000
Epoch 32 - Average Train Loss: 0.1629, Train Accuracy: 0.9505
Epoch 32 training time consumed: 28.28s
Evaluating Network.....
Test set: Epoch: 32, Average loss: 0.0028, Accuracy: 0.8086, Time consumed:0.85s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_18h_12m_05s/ResNet18-Cifar20-seed2-ret50-32-best.pth
Training Epoch: 33 [256/47500]	Loss: 0.2008	LR: 0.004000
Training Epoch: 33 [512/47500]	Loss: 0.1198	LR: 0.004000
Training Epoch: 33 [768/47500]	Loss: 0.1462	LR: 0.004000
Training Epoch: 33 [1024/47500]	Loss: 0.1806	LR: 0.004000
Training Epoch: 33 [1280/47500]	Loss: 0.1511	LR: 0.004000
Training Epoch: 33 [1536/47500]	Loss: 0.1486	LR: 0.004000
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Training Epoch: 33 [5376/47500]	Loss: 0.1663	LR: 0.004000
Training Epoch: 33 [5632/47500]	Loss: 0.1394	LR: 0.004000
Training Epoch: 33 [5888/47500]	Loss: 0.0945	LR: 0.004000
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Training Epoch: 33 [6400/47500]	Loss: 0.1611	LR: 0.004000
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Training Epoch: 33 [7168/47500]	Loss: 0.1541	LR: 0.004000
Training Epoch: 33 [7424/47500]	Loss: 0.1717	LR: 0.004000
Training Epoch: 33 [7680/47500]	Loss: 0.1499	LR: 0.004000
Training Epoch: 33 [7936/47500]	Loss: 0.1218	LR: 0.004000
Training Epoch: 33 [8192/47500]	Loss: 0.1652	LR: 0.004000
Training Epoch: 33 [8448/47500]	Loss: 0.1586	LR: 0.004000
Training Epoch: 33 [8704/47500]	Loss: 0.1530	LR: 0.004000
Training Epoch: 33 [8960/47500]	Loss: 0.2099	LR: 0.004000
Training Epoch: 33 [9216/47500]	Loss: 0.1410	LR: 0.004000
Training Epoch: 33 [9472/47500]	Loss: 0.1252	LR: 0.004000
Training Epoch: 33 [9728/47500]	Loss: 0.1759	LR: 0.004000
Training Epoch: 33 [9984/47500]	Loss: 0.1330	LR: 0.004000
Training Epoch: 33 [10240/47500]	Loss: 0.1300	LR: 0.004000
Training Epoch: 33 [10496/47500]	Loss: 0.1419	LR: 0.004000
Training Epoch: 33 [10752/47500]	Loss: 0.1405	LR: 0.004000
Training Epoch: 33 [11008/47500]	Loss: 0.1644	LR: 0.004000
Training Epoch: 33 [11264/47500]	Loss: 0.1625	LR: 0.004000
Training Epoch: 33 [11520/47500]	Loss: 0.1697	LR: 0.004000
Training Epoch: 33 [11776/47500]	Loss: 0.1846	LR: 0.004000
Training Epoch: 33 [12032/47500]	Loss: 0.1240	LR: 0.004000
Training Epoch: 33 [12288/47500]	Loss: 0.1823	LR: 0.004000
Training Epoch: 33 [12544/47500]	Loss: 0.1752	LR: 0.004000
Training Epoch: 33 [12800/47500]	Loss: 0.1305	LR: 0.004000
Training Epoch: 33 [13056/47500]	Loss: 0.2110	LR: 0.004000
Training Epoch: 33 [13312/47500]	Loss: 0.1412	LR: 0.004000
Training Epoch: 33 [13568/47500]	Loss: 0.1098	LR: 0.004000
Training Epoch: 33 [13824/47500]	Loss: 0.1954	LR: 0.004000
Training Epoch: 33 [14080/47500]	Loss: 0.1478	LR: 0.004000
Training Epoch: 33 [14336/47500]	Loss: 0.1125	LR: 0.004000
Training Epoch: 33 [14592/47500]	Loss: 0.1023	LR: 0.004000
Training Epoch: 33 [14848/47500]	Loss: 0.1542	LR: 0.004000
Training Epoch: 33 [15104/47500]	Loss: 0.1952	LR: 0.004000
Training Epoch: 33 [15360/47500]	Loss: 0.1461	LR: 0.004000
Training Epoch: 33 [15616/47500]	Loss: 0.1894	LR: 0.004000
Training Epoch: 33 [15872/47500]	Loss: 0.2054	LR: 0.004000
Training Epoch: 33 [16128/47500]	Loss: 0.1077	LR: 0.004000
Training Epoch: 33 [16384/47500]	Loss: 0.1745	LR: 0.004000
Training Epoch: 33 [16640/47500]	Loss: 0.1156	LR: 0.004000
Training Epoch: 33 [16896/47500]	Loss: 0.1909	LR: 0.004000
Training Epoch: 33 [17152/47500]	Loss: 0.1389	LR: 0.004000
Training Epoch: 33 [17408/47500]	Loss: 0.1314	LR: 0.004000
Training Epoch: 33 [17664/47500]	Loss: 0.1359	LR: 0.004000
Training Epoch: 33 [17920/47500]	Loss: 0.1267	LR: 0.004000
Training Epoch: 33 [18176/47500]	Loss: 0.1632	LR: 0.004000
Training Epoch: 33 [18432/47500]	Loss: 0.1721	LR: 0.004000
Training Epoch: 33 [18688/47500]	Loss: 0.1565	LR: 0.004000
Training Epoch: 33 [18944/47500]	Loss: 0.1508	LR: 0.004000
Training Epoch: 33 [19200/47500]	Loss: 0.1401	LR: 0.004000
Training Epoch: 33 [19456/47500]	Loss: 0.1710	LR: 0.004000
Training Epoch: 33 [19712/47500]	Loss: 0.1567	LR: 0.004000
Training Epoch: 33 [19968/47500]	Loss: 0.0901	LR: 0.004000
Training Epoch: 33 [20224/47500]	Loss: 0.1420	LR: 0.004000
Training Epoch: 33 [20480/47500]	Loss: 0.1195	LR: 0.004000
Training Epoch: 33 [20736/47500]	Loss: 0.1795	LR: 0.004000
Training Epoch: 33 [20992/47500]	Loss: 0.0950	LR: 0.004000
Training Epoch: 33 [21248/47500]	Loss: 0.2247	LR: 0.004000
Training Epoch: 33 [21504/47500]	Loss: 0.1640	LR: 0.004000
Training Epoch: 33 [21760/47500]	Loss: 0.1749	LR: 0.004000
Training Epoch: 33 [22016/47500]	Loss: 0.1321	LR: 0.004000
Training Epoch: 33 [22272/47500]	Loss: 0.1300	LR: 0.004000
Training Epoch: 33 [22528/47500]	Loss: 0.1116	LR: 0.004000
Training Epoch: 33 [22784/47500]	Loss: 0.1983	LR: 0.004000
Training Epoch: 33 [23040/47500]	Loss: 0.1338	LR: 0.004000
Training Epoch: 33 [23296/47500]	Loss: 0.1270	LR: 0.004000
Training Epoch: 33 [23552/47500]	Loss: 0.1169	LR: 0.004000
Training Epoch: 33 [23808/47500]	Loss: 0.1478	LR: 0.004000
Training Epoch: 33 [24064/47500]	Loss: 0.1334	LR: 0.004000
Training Epoch: 33 [24320/47500]	Loss: 0.1429	LR: 0.004000
Training Epoch: 33 [24576/47500]	Loss: 0.1951	LR: 0.004000
Training Epoch: 33 [24832/47500]	Loss: 0.1708	LR: 0.004000
Training Epoch: 33 [25088/47500]	Loss: 0.1353	LR: 0.004000
Training Epoch: 33 [25344/47500]	Loss: 0.2138	LR: 0.004000
Training Epoch: 33 [25600/47500]	Loss: 0.1110	LR: 0.004000
Training Epoch: 33 [25856/47500]	Loss: 0.1276	LR: 0.004000
Training Epoch: 33 [26112/47500]	Loss: 0.1731	LR: 0.004000
Training Epoch: 33 [26368/47500]	Loss: 0.1971	LR: 0.004000
Training Epoch: 33 [26624/47500]	Loss: 0.1187	LR: 0.004000
Training Epoch: 33 [26880/47500]	Loss: 0.1501	LR: 0.004000
Training Epoch: 33 [27136/47500]	Loss: 0.1565	LR: 0.004000
Training Epoch: 33 [27392/47500]	Loss: 0.1584	LR: 0.004000
Training Epoch: 33 [27648/47500]	Loss: 0.1639	LR: 0.004000
Training Epoch: 33 [27904/47500]	Loss: 0.1554	LR: 0.004000
Training Epoch: 33 [28160/47500]	Loss: 0.1559	LR: 0.004000
Training Epoch: 33 [28416/47500]	Loss: 0.1407	LR: 0.004000
Training Epoch: 33 [28672/47500]	Loss: 0.1011	LR: 0.004000
Training Epoch: 33 [28928/47500]	Loss: 0.1458	LR: 0.004000
Training Epoch: 33 [29184/47500]	Loss: 0.1706	LR: 0.004000
Training Epoch: 33 [29440/47500]	Loss: 0.1673	LR: 0.004000
Training Epoch: 33 [29696/47500]	Loss: 0.1837	LR: 0.004000
Training Epoch: 33 [29952/47500]	Loss: 0.1777	LR: 0.004000
Training Epoch: 33 [30208/47500]	Loss: 0.1635	LR: 0.004000
Training Epoch: 33 [30464/47500]	Loss: 0.1815	LR: 0.004000
Training Epoch: 33 [30720/47500]	Loss: 0.1248	LR: 0.004000
Training Epoch: 33 [30976/47500]	Loss: 0.2187	LR: 0.004000
Training Epoch: 33 [31232/47500]	Loss: 0.1651	LR: 0.004000
Training Epoch: 33 [31488/47500]	Loss: 0.0957	LR: 0.004000
Training Epoch: 33 [31744/47500]	Loss: 0.1305	LR: 0.004000
Training Epoch: 33 [32000/47500]	Loss: 0.1997	LR: 0.004000
Training Epoch: 33 [32256/47500]	Loss: 0.1774	LR: 0.004000
Training Epoch: 33 [32512/47500]	Loss: 0.1268	LR: 0.004000
Training Epoch: 33 [32768/47500]	Loss: 0.1331	LR: 0.004000
Training Epoch: 33 [33024/47500]	Loss: 0.1805	LR: 0.004000
Training Epoch: 33 [33280/47500]	Loss: 0.1344	LR: 0.004000
Training Epoch: 33 [33536/47500]	Loss: 0.1837	LR: 0.004000
Training Epoch: 33 [33792/47500]	Loss: 0.1765	LR: 0.004000
Training Epoch: 33 [34048/47500]	Loss: 0.1446	LR: 0.004000
Training Epoch: 33 [34304/47500]	Loss: 0.1411	LR: 0.004000
Training Epoch: 33 [34560/47500]	Loss: 0.1338	LR: 0.004000
Training Epoch: 33 [34816/47500]	Loss: 0.1014	LR: 0.004000
Training Epoch: 33 [35072/47500]	Loss: 0.1078	LR: 0.004000
Training Epoch: 33 [35328/47500]	Loss: 0.1752	LR: 0.004000
Training Epoch: 33 [35584/47500]	Loss: 0.1476	LR: 0.004000
Training Epoch: 33 [35840/47500]	Loss: 0.1614	LR: 0.004000
Training Epoch: 33 [36096/47500]	Loss: 0.1505	LR: 0.004000
Training Epoch: 33 [36352/47500]	Loss: 0.1178	LR: 0.004000
Training Epoch: 33 [36608/47500]	Loss: 0.1728	LR: 0.004000
Training Epoch: 33 [36864/47500]	Loss: 0.1389	LR: 0.004000
Training Epoch: 33 [37120/47500]	Loss: 0.1717	LR: 0.004000
Training Epoch: 33 [37376/47500]	Loss: 0.1391	LR: 0.004000
Training Epoch: 33 [37632/47500]	Loss: 0.1445	LR: 0.004000
Training Epoch: 33 [37888/47500]	Loss: 0.1410	LR: 0.004000
Training Epoch: 33 [38144/47500]	Loss: 0.1325	LR: 0.004000
Training Epoch: 33 [38400/47500]	Loss: 0.1454	LR: 0.004000
Training Epoch: 33 [38656/47500]	Loss: 0.1534	LR: 0.004000
Training Epoch: 33 [38912/47500]	Loss: 0.1941	LR: 0.004000
Training Epoch: 33 [39168/47500]	Loss: 0.1456	LR: 0.004000
Training Epoch: 33 [39424/47500]	Loss: 0.1627	LR: 0.004000
Training Epoch: 33 [39680/47500]	Loss: 0.1760	LR: 0.004000
Training Epoch: 33 [39936/47500]	Loss: 0.1152	LR: 0.004000
Training Epoch: 33 [40192/47500]	Loss: 0.2028	LR: 0.004000
Training Epoch: 33 [40448/47500]	Loss: 0.1439	LR: 0.004000
Training Epoch: 33 [40704/47500]	Loss: 0.1862	LR: 0.004000
Training Epoch: 33 [40960/47500]	Loss: 0.1754	LR: 0.004000
Training Epoch: 33 [41216/47500]	Loss: 0.1701	LR: 0.004000
Training Epoch: 33 [41472/47500]	Loss: 0.1383	LR: 0.004000
Training Epoch: 33 [41728/47500]	Loss: 0.1756	LR: 0.004000
Training Epoch: 33 [41984/47500]	Loss: 0.1730	LR: 0.004000
Training Epoch: 33 [42240/47500]	Loss: 0.1245	LR: 0.004000
Training Epoch: 33 [42496/47500]	Loss: 0.1209	LR: 0.004000
Training Epoch: 33 [42752/47500]	Loss: 0.1986	LR: 0.004000
Training Epoch: 33 [43008/47500]	Loss: 0.1098	LR: 0.004000
Training Epoch: 33 [43264/47500]	Loss: 0.1627	LR: 0.004000
Training Epoch: 33 [43520/47500]	Loss: 0.1891	LR: 0.004000
Training Epoch: 33 [43776/47500]	Loss: 0.1278	LR: 0.004000
Training Epoch: 33 [44032/47500]	Loss: 0.1322	LR: 0.004000
Training Epoch: 33 [44288/47500]	Loss: 0.1258	LR: 0.004000
Training Epoch: 33 [44544/47500]	Loss: 0.1651	LR: 0.004000
Training Epoch: 33 [44800/47500]	Loss: 0.1646	LR: 0.004000
Training Epoch: 33 [45056/47500]	Loss: 0.1535	LR: 0.004000
Training Epoch: 33 [45312/47500]	Loss: 0.1276	LR: 0.004000
Training Epoch: 33 [45568/47500]	Loss: 0.1466	LR: 0.004000
Training Epoch: 33 [45824/47500]	Loss: 0.1171	LR: 0.004000
Training Epoch: 33 [46080/47500]	Loss: 0.1499	LR: 0.004000
Training Epoch: 33 [46336/47500]	Loss: 0.1713	LR: 0.004000
Training Epoch: 33 [46592/47500]	Loss: 0.0810	LR: 0.004000
Training Epoch: 33 [46848/47500]	Loss: 0.1827	LR: 0.004000
Training Epoch: 33 [47104/47500]	Loss: 0.1603	LR: 0.004000
Training Epoch: 33 [47360/47500]	Loss: 0.1310	LR: 0.004000
Training Epoch: 33 [47500/47500]	Loss: 0.1186	LR: 0.004000
Epoch 33 - Average Train Loss: 0.1511, Train Accuracy: 0.9544
Epoch 33 training time consumed: 28.32s
Evaluating Network.....
Test set: Epoch: 33, Average loss: 0.0028, Accuracy: 0.8063, Time consumed:0.86s
Training Epoch: 34 [256/47500]	Loss: 0.1354	LR: 0.004000
Training Epoch: 34 [512/47500]	Loss: 0.0854	LR: 0.004000
Training Epoch: 34 [768/47500]	Loss: 0.1046	LR: 0.004000
Training Epoch: 34 [1024/47500]	Loss: 0.2057	LR: 0.004000
Training Epoch: 34 [1280/47500]	Loss: 0.1375	LR: 0.004000
Training Epoch: 34 [1536/47500]	Loss: 0.1435	LR: 0.004000
Training Epoch: 34 [1792/47500]	Loss: 0.1420	LR: 0.004000
Training Epoch: 34 [2048/47500]	Loss: 0.1313	LR: 0.004000
Training Epoch: 34 [2304/47500]	Loss: 0.1485	LR: 0.004000
Training Epoch: 34 [2560/47500]	Loss: 0.1242	LR: 0.004000
Training Epoch: 34 [2816/47500]	Loss: 0.1375	LR: 0.004000
Training Epoch: 34 [3072/47500]	Loss: 0.1234	LR: 0.004000
Training Epoch: 34 [3328/47500]	Loss: 0.1566	LR: 0.004000
Training Epoch: 34 [3584/47500]	Loss: 0.1650	LR: 0.004000
Training Epoch: 34 [3840/47500]	Loss: 0.1781	LR: 0.004000
Training Epoch: 34 [4096/47500]	Loss: 0.1770	LR: 0.004000
Training Epoch: 34 [4352/47500]	Loss: 0.1212	LR: 0.004000
Training Epoch: 34 [4608/47500]	Loss: 0.1672	LR: 0.004000
Training Epoch: 34 [4864/47500]	Loss: 0.1502	LR: 0.004000
Training Epoch: 34 [5120/47500]	Loss: 0.0867	LR: 0.004000
Training Epoch: 34 [5376/47500]	Loss: 0.1285	LR: 0.004000
Training Epoch: 34 [5632/47500]	Loss: 0.0990	LR: 0.004000
Training Epoch: 34 [5888/47500]	Loss: 0.1171	LR: 0.004000
Training Epoch: 34 [6144/47500]	Loss: 0.1972	LR: 0.004000
Training Epoch: 34 [6400/47500]	Loss: 0.1493	LR: 0.004000
Training Epoch: 34 [6656/47500]	Loss: 0.1075	LR: 0.004000
Training Epoch: 34 [6912/47500]	Loss: 0.1377	LR: 0.004000
Training Epoch: 34 [7168/47500]	Loss: 0.1428	LR: 0.004000
Training Epoch: 34 [7424/47500]	Loss: 0.1249	LR: 0.004000
Training Epoch: 34 [7680/47500]	Loss: 0.1361	LR: 0.004000
Training Epoch: 34 [7936/47500]	Loss: 0.1546	LR: 0.004000
Training Epoch: 34 [8192/47500]	Loss: 0.1247	LR: 0.004000
Training Epoch: 34 [8448/47500]	Loss: 0.1465	LR: 0.004000
Training Epoch: 34 [8704/47500]	Loss: 0.1202	LR: 0.004000
Training Epoch: 34 [8960/47500]	Loss: 0.1671	LR: 0.004000
Training Epoch: 34 [9216/47500]	Loss: 0.1319	LR: 0.004000
Training Epoch: 34 [9472/47500]	Loss: 0.1278	LR: 0.004000
Training Epoch: 34 [9728/47500]	Loss: 0.1320	LR: 0.004000
Training Epoch: 34 [9984/47500]	Loss: 0.1561	LR: 0.004000
Training Epoch: 34 [10240/47500]	Loss: 0.1042	LR: 0.004000
Training Epoch: 34 [10496/47500]	Loss: 0.1177	LR: 0.004000
Training Epoch: 34 [10752/47500]	Loss: 0.0914	LR: 0.004000
Training Epoch: 34 [11008/47500]	Loss: 0.1139	LR: 0.004000
Training Epoch: 34 [11264/47500]	Loss: 0.1341	LR: 0.004000
Training Epoch: 34 [11520/47500]	Loss: 0.1791	LR: 0.004000
Training Epoch: 34 [11776/47500]	Loss: 0.1444	LR: 0.004000
Training Epoch: 34 [12032/47500]	Loss: 0.1383	LR: 0.004000
Training Epoch: 34 [12288/47500]	Loss: 0.0916	LR: 0.004000
Training Epoch: 34 [12544/47500]	Loss: 0.1203	LR: 0.004000
Training Epoch: 34 [12800/47500]	Loss: 0.1404	LR: 0.004000
Training Epoch: 34 [13056/47500]	Loss: 0.1354	LR: 0.004000
Training Epoch: 34 [13312/47500]	Loss: 0.2034	LR: 0.004000
Training Epoch: 34 [13568/47500]	Loss: 0.1409	LR: 0.004000
Training Epoch: 34 [13824/47500]	Loss: 0.1416	LR: 0.004000
Training Epoch: 34 [14080/47500]	Loss: 0.1211	LR: 0.004000
Training Epoch: 34 [14336/47500]	Loss: 0.1808	LR: 0.004000
Training Epoch: 34 [14592/47500]	Loss: 0.1012	LR: 0.004000
Training Epoch: 34 [14848/47500]	Loss: 0.1757	LR: 0.004000
Training Epoch: 34 [15104/47500]	Loss: 0.1819	LR: 0.004000
Training Epoch: 34 [15360/47500]	Loss: 0.1016	LR: 0.004000
Training Epoch: 34 [15616/47500]	Loss: 0.1674	LR: 0.004000
Training Epoch: 34 [15872/47500]	Loss: 0.1051	LR: 0.004000
Training Epoch: 34 [16128/47500]	Loss: 0.1478	LR: 0.004000
Training Epoch: 34 [16384/47500]	Loss: 0.1312	LR: 0.004000
Training Epoch: 34 [16640/47500]	Loss: 0.1220	LR: 0.004000
Training Epoch: 34 [16896/47500]	Loss: 0.1227	LR: 0.004000
Training Epoch: 34 [17152/47500]	Loss: 0.1087	LR: 0.004000
Training Epoch: 34 [17408/47500]	Loss: 0.1379	LR: 0.004000
Training Epoch: 34 [17664/47500]	Loss: 0.1218	LR: 0.004000
Training Epoch: 34 [17920/47500]	Loss: 0.1411	LR: 0.004000
Training Epoch: 34 [18176/47500]	Loss: 0.1292	LR: 0.004000
Training Epoch: 34 [18432/47500]	Loss: 0.1802	LR: 0.004000
Training Epoch: 34 [18688/47500]	Loss: 0.1194	LR: 0.004000
Training Epoch: 34 [18944/47500]	Loss: 0.1388	LR: 0.004000
Training Epoch: 34 [19200/47500]	Loss: 0.1475	LR: 0.004000
Training Epoch: 34 [19456/47500]	Loss: 0.1086	LR: 0.004000
Training Epoch: 34 [19712/47500]	Loss: 0.1503	LR: 0.004000
Training Epoch: 34 [19968/47500]	Loss: 0.1741	LR: 0.004000
Training Epoch: 34 [20224/47500]	Loss: 0.1606	LR: 0.004000
Training Epoch: 34 [20480/47500]	Loss: 0.1043	LR: 0.004000
Training Epoch: 34 [20736/47500]	Loss: 0.1364	LR: 0.004000
Training Epoch: 34 [20992/47500]	Loss: 0.2032	LR: 0.004000
Training Epoch: 34 [21248/47500]	Loss: 0.1433	LR: 0.004000
Training Epoch: 34 [21504/47500]	Loss: 0.1216	LR: 0.004000
Training Epoch: 34 [21760/47500]	Loss: 0.1714	LR: 0.004000
Training Epoch: 34 [22016/47500]	Loss: 0.0947	LR: 0.004000
Training Epoch: 34 [22272/47500]	Loss: 0.1064	LR: 0.004000
Training Epoch: 34 [22528/47500]	Loss: 0.1122	LR: 0.004000
Training Epoch: 34 [22784/47500]	Loss: 0.1215	LR: 0.004000
Training Epoch: 34 [23040/47500]	Loss: 0.1364	LR: 0.004000
Training Epoch: 34 [23296/47500]	Loss: 0.1635	LR: 0.004000
Training Epoch: 34 [23552/47500]	Loss: 0.1533	LR: 0.004000
Training Epoch: 34 [23808/47500]	Loss: 0.1245	LR: 0.004000
Training Epoch: 34 [24064/47500]	Loss: 0.0850	LR: 0.004000
Training Epoch: 34 [24320/47500]	Loss: 0.1070	LR: 0.004000
Training Epoch: 34 [24576/47500]	Loss: 0.1244	LR: 0.004000
Training Epoch: 34 [24832/47500]	Loss: 0.1507	LR: 0.004000
Training Epoch: 34 [25088/47500]	Loss: 0.1677	LR: 0.004000
Training Epoch: 34 [25344/47500]	Loss: 0.1585	LR: 0.004000
Training Epoch: 34 [25600/47500]	Loss: 0.1322	LR: 0.004000
Training Epoch: 34 [25856/47500]	Loss: 0.1831	LR: 0.004000
Training Epoch: 34 [26112/47500]	Loss: 0.0866	LR: 0.004000
Training Epoch: 34 [26368/47500]	Loss: 0.1239	LR: 0.004000
Training Epoch: 34 [26624/47500]	Loss: 0.1363	LR: 0.004000
Training Epoch: 34 [26880/47500]	Loss: 0.1243	LR: 0.004000
Training Epoch: 34 [27136/47500]	Loss: 0.1387	LR: 0.004000
Training Epoch: 34 [27392/47500]	Loss: 0.1285	LR: 0.004000
Training Epoch: 34 [27648/47500]	Loss: 0.1097	LR: 0.004000
Training Epoch: 34 [27904/47500]	Loss: 0.1556	LR: 0.004000
Training Epoch: 34 [28160/47500]	Loss: 0.1704	LR: 0.004000
Training Epoch: 34 [28416/47500]	Loss: 0.1328	LR: 0.004000
Training Epoch: 34 [28672/47500]	Loss: 0.1374	LR: 0.004000
Training Epoch: 34 [28928/47500]	Loss: 0.1571	LR: 0.004000
Training Epoch: 34 [29184/47500]	Loss: 0.1927	LR: 0.004000
Training Epoch: 34 [29440/47500]	Loss: 0.1358	LR: 0.004000
Training Epoch: 34 [29696/47500]	Loss: 0.1243	LR: 0.004000
Training Epoch: 34 [29952/47500]	Loss: 0.1749	LR: 0.004000
Training Epoch: 34 [30208/47500]	Loss: 0.1823	LR: 0.004000
Training Epoch: 34 [30464/47500]	Loss: 0.0882	LR: 0.004000
Training Epoch: 34 [30720/47500]	Loss: 0.2127	LR: 0.004000
Training Epoch: 34 [30976/47500]	Loss: 0.1206	LR: 0.004000
Training Epoch: 34 [31232/47500]	Loss: 0.2450	LR: 0.004000
Training Epoch: 34 [31488/47500]	Loss: 0.1345	LR: 0.004000
Training Epoch: 34 [31744/47500]	Loss: 0.1287	LR: 0.004000
Training Epoch: 34 [32000/47500]	Loss: 0.0984	LR: 0.004000
Training Epoch: 34 [32256/47500]	Loss: 0.1372	LR: 0.004000
Training Epoch: 34 [32512/47500]	Loss: 0.1621	LR: 0.004000
Training Epoch: 34 [32768/47500]	Loss: 0.1156	LR: 0.004000
Training Epoch: 34 [33024/47500]	Loss: 0.0990	LR: 0.004000
Training Epoch: 34 [33280/47500]	Loss: 0.1455	LR: 0.004000
Training Epoch: 34 [33536/47500]	Loss: 0.1512	LR: 0.004000
Training Epoch: 34 [33792/47500]	Loss: 0.1387	LR: 0.004000
Training Epoch: 34 [34048/47500]	Loss: 0.1142	LR: 0.004000
Training Epoch: 34 [34304/47500]	Loss: 0.1037	LR: 0.004000
Training Epoch: 34 [34560/47500]	Loss: 0.1644	LR: 0.004000
Training Epoch: 34 [34816/47500]	Loss: 0.1388	LR: 0.004000
Training Epoch: 34 [35072/47500]	Loss: 0.1968	LR: 0.004000
Training Epoch: 34 [35328/47500]	Loss: 0.1560	LR: 0.004000
Training Epoch: 34 [35584/47500]	Loss: 0.0945	LR: 0.004000
Training Epoch: 34 [35840/47500]	Loss: 0.1304	LR: 0.004000
Training Epoch: 34 [36096/47500]	Loss: 0.1391	LR: 0.004000
Training Epoch: 34 [36352/47500]	Loss: 0.1917	LR: 0.004000
Training Epoch: 34 [36608/47500]	Loss: 0.1084	LR: 0.004000
Training Epoch: 34 [36864/47500]	Loss: 0.1636	LR: 0.004000
Training Epoch: 34 [37120/47500]	Loss: 0.1284	LR: 0.004000
Training Epoch: 34 [37376/47500]	Loss: 0.1294	LR: 0.004000
Training Epoch: 34 [37632/47500]	Loss: 0.1425	LR: 0.004000
Training Epoch: 34 [37888/47500]	Loss: 0.1345	LR: 0.004000
Training Epoch: 34 [38144/47500]	Loss: 0.1685	LR: 0.004000
Training Epoch: 34 [38400/47500]	Loss: 0.1380	LR: 0.004000
Training Epoch: 34 [38656/47500]	Loss: 0.1341	LR: 0.004000
Training Epoch: 34 [38912/47500]	Loss: 0.2200	LR: 0.004000
Training Epoch: 34 [39168/47500]	Loss: 0.1688	LR: 0.004000
Training Epoch: 34 [39424/47500]	Loss: 0.0958	LR: 0.004000
Training Epoch: 34 [39680/47500]	Loss: 0.1414	LR: 0.004000
Training Epoch: 34 [39936/47500]	Loss: 0.1690	LR: 0.004000
Training Epoch: 34 [40192/47500]	Loss: 0.1239	LR: 0.004000
Training Epoch: 34 [40448/47500]	Loss: 0.1473	LR: 0.004000
Training Epoch: 34 [40704/47500]	Loss: 0.1400	LR: 0.004000
Training Epoch: 34 [40960/47500]	Loss: 0.1053	LR: 0.004000
Training Epoch: 34 [41216/47500]	Loss: 0.1427	LR: 0.004000
Training Epoch: 34 [41472/47500]	Loss: 0.1616	LR: 0.004000
Training Epoch: 34 [41728/47500]	Loss: 0.1379	LR: 0.004000
Training Epoch: 34 [41984/47500]	Loss: 0.1730	LR: 0.004000
Training Epoch: 34 [42240/47500]	Loss: 0.1626	LR: 0.004000
Training Epoch: 34 [42496/47500]	Loss: 0.1431	LR: 0.004000
Training Epoch: 34 [42752/47500]	Loss: 0.1459	LR: 0.004000
Training Epoch: 34 [43008/47500]	Loss: 0.1172	LR: 0.004000
Training Epoch: 34 [43264/47500]	Loss: 0.1252	LR: 0.004000
Training Epoch: 34 [43520/47500]	Loss: 0.1227	LR: 0.004000
Training Epoch: 34 [43776/47500]	Loss: 0.1056	LR: 0.004000
Training Epoch: 34 [44032/47500]	Loss: 0.1730	LR: 0.004000
Training Epoch: 34 [44288/47500]	Loss: 0.1211	LR: 0.004000
Training Epoch: 34 [44544/47500]	Loss: 0.1986	LR: 0.004000
Training Epoch: 34 [44800/47500]	Loss: 0.1157	LR: 0.004000
Training Epoch: 34 [45056/47500]	Loss: 0.1661	LR: 0.004000
Training Epoch: 34 [45312/47500]	Loss: 0.1478	LR: 0.004000
Training Epoch: 34 [45568/47500]	Loss: 0.1468	LR: 0.004000
Training Epoch: 34 [45824/47500]	Loss: 0.1415	LR: 0.004000
Training Epoch: 34 [46080/47500]	Loss: 0.1486	LR: 0.004000
Training Epoch: 34 [46336/47500]	Loss: 0.1659	LR: 0.004000
Training Epoch: 34 [46592/47500]	Loss: 0.1651	LR: 0.004000
Training Epoch: 34 [46848/47500]	Loss: 0.1406	LR: 0.004000
Training Epoch: 34 [47104/47500]	Loss: 0.1523	LR: 0.004000
Training Epoch: 34 [47360/47500]	Loss: 0.1655	LR: 0.004000
Training Epoch: 34 [47500/47500]	Loss: 0.1567	LR: 0.004000
Epoch 34 - Average Train Loss: 0.1404, Train Accuracy: 0.9583
Epoch 34 training time consumed: 28.28s
Evaluating Network.....
Test set: Epoch: 34, Average loss: 0.0028, Accuracy: 0.8077, Time consumed:0.88s
Training Epoch: 35 [256/47500]	Loss: 0.0904	LR: 0.000800
Training Epoch: 35 [512/47500]	Loss: 0.1241	LR: 0.000800
Training Epoch: 35 [768/47500]	Loss: 0.0975	LR: 0.000800
Training Epoch: 35 [1024/47500]	Loss: 0.1163	LR: 0.000800
Training Epoch: 35 [1280/47500]	Loss: 0.1411	LR: 0.000800
Training Epoch: 35 [1536/47500]	Loss: 0.0983	LR: 0.000800
Training Epoch: 35 [1792/47500]	Loss: 0.1077	LR: 0.000800
Training Epoch: 35 [2048/47500]	Loss: 0.1418	LR: 0.000800
Training Epoch: 35 [2304/47500]	Loss: 0.1293	LR: 0.000800
Training Epoch: 35 [2560/47500]	Loss: 0.1035	LR: 0.000800
Training Epoch: 35 [2816/47500]	Loss: 0.1439	LR: 0.000800
Training Epoch: 35 [3072/47500]	Loss: 0.1298	LR: 0.000800
Training Epoch: 35 [3328/47500]	Loss: 0.1263	LR: 0.000800
Training Epoch: 35 [3584/47500]	Loss: 0.0972	LR: 0.000800
Training Epoch: 35 [3840/47500]	Loss: 0.1083	LR: 0.000800
Training Epoch: 35 [4096/47500]	Loss: 0.1458	LR: 0.000800
Training Epoch: 35 [4352/47500]	Loss: 0.1081	LR: 0.000800
Training Epoch: 35 [4608/47500]	Loss: 0.1439	LR: 0.000800
Training Epoch: 35 [4864/47500]	Loss: 0.1630	LR: 0.000800
Training Epoch: 35 [5120/47500]	Loss: 0.1589	LR: 0.000800
Training Epoch: 35 [5376/47500]	Loss: 0.1295	LR: 0.000800
Training Epoch: 35 [5632/47500]	Loss: 0.1336	LR: 0.000800
Training Epoch: 35 [5888/47500]	Loss: 0.1485	LR: 0.000800
Training Epoch: 35 [6144/47500]	Loss: 0.0891	LR: 0.000800
Training Epoch: 35 [6400/47500]	Loss: 0.1234	LR: 0.000800
Training Epoch: 35 [6656/47500]	Loss: 0.0875	LR: 0.000800
Training Epoch: 35 [6912/47500]	Loss: 0.1194	LR: 0.000800
Training Epoch: 35 [7168/47500]	Loss: 0.1252	LR: 0.000800
Training Epoch: 35 [7424/47500]	Loss: 0.1264	LR: 0.000800
Training Epoch: 35 [7680/47500]	Loss: 0.1143	LR: 0.000800
Training Epoch: 35 [7936/47500]	Loss: 0.1371	LR: 0.000800
Training Epoch: 35 [8192/47500]	Loss: 0.1338	LR: 0.000800
Training Epoch: 35 [8448/47500]	Loss: 0.0810	LR: 0.000800
Training Epoch: 35 [8704/47500]	Loss: 0.1010	LR: 0.000800
Training Epoch: 35 [8960/47500]	Loss: 0.1233	LR: 0.000800
Training Epoch: 35 [9216/47500]	Loss: 0.1326	LR: 0.000800
Training Epoch: 35 [9472/47500]	Loss: 0.1608	LR: 0.000800
Training Epoch: 35 [9728/47500]	Loss: 0.1255	LR: 0.000800
Training Epoch: 35 [9984/47500]	Loss: 0.0833	LR: 0.000800
Training Epoch: 35 [10240/47500]	Loss: 0.2005	LR: 0.000800
Training Epoch: 35 [10496/47500]	Loss: 0.1611	LR: 0.000800
Training Epoch: 35 [10752/47500]	Loss: 0.1097	LR: 0.000800
Training Epoch: 35 [11008/47500]	Loss: 0.1814	LR: 0.000800
Training Epoch: 35 [11264/47500]	Loss: 0.0975	LR: 0.000800
Training Epoch: 35 [11520/47500]	Loss: 0.1592	LR: 0.000800
Training Epoch: 35 [11776/47500]	Loss: 0.0913	LR: 0.000800
Training Epoch: 35 [12032/47500]	Loss: 0.1356	LR: 0.000800
Training Epoch: 35 [12288/47500]	Loss: 0.1247	LR: 0.000800
Training Epoch: 35 [12544/47500]	Loss: 0.0860	LR: 0.000800
Training Epoch: 35 [12800/47500]	Loss: 0.1481	LR: 0.000800
Training Epoch: 35 [13056/47500]	Loss: 0.1221	LR: 0.000800
Training Epoch: 35 [13312/47500]	Loss: 0.1053	LR: 0.000800
Training Epoch: 35 [13568/47500]	Loss: 0.1364	LR: 0.000800
Training Epoch: 35 [13824/47500]	Loss: 0.0968	LR: 0.000800
Training Epoch: 35 [14080/47500]	Loss: 0.1177	LR: 0.000800
Training Epoch: 35 [14336/47500]	Loss: 0.1618	LR: 0.000800
Training Epoch: 35 [14592/47500]	Loss: 0.0675	LR: 0.000800
Training Epoch: 35 [14848/47500]	Loss: 0.1288	LR: 0.000800
Training Epoch: 35 [15104/47500]	Loss: 0.0986	LR: 0.000800
Training Epoch: 35 [15360/47500]	Loss: 0.1341	LR: 0.000800
Training Epoch: 35 [15616/47500]	Loss: 0.1570	LR: 0.000800
Training Epoch: 35 [15872/47500]	Loss: 0.1370	LR: 0.000800
Training Epoch: 35 [16128/47500]	Loss: 0.1072	LR: 0.000800
Training Epoch: 35 [16384/47500]	Loss: 0.0964	LR: 0.000800
Training Epoch: 35 [16640/47500]	Loss: 0.0865	LR: 0.000800
Training Epoch: 35 [16896/47500]	Loss: 0.0998	LR: 0.000800
Training Epoch: 35 [17152/47500]	Loss: 0.0888	LR: 0.000800
Training Epoch: 35 [17408/47500]	Loss: 0.1366	LR: 0.000800
Training Epoch: 35 [17664/47500]	Loss: 0.0729	LR: 0.000800
Training Epoch: 35 [17920/47500]	Loss: 0.1208	LR: 0.000800
Training Epoch: 35 [18176/47500]	Loss: 0.1192	LR: 0.000800
Training Epoch: 35 [18432/47500]	Loss: 0.1705	LR: 0.000800
Training Epoch: 35 [18688/47500]	Loss: 0.0903	LR: 0.000800
Training Epoch: 35 [18944/47500]	Loss: 0.1657	LR: 0.000800
Training Epoch: 35 [19200/47500]	Loss: 0.1525	LR: 0.000800
Training Epoch: 35 [19456/47500]	Loss: 0.1225	LR: 0.000800
Training Epoch: 35 [19712/47500]	Loss: 0.1472	LR: 0.000800
Training Epoch: 35 [19968/47500]	Loss: 0.1237	LR: 0.000800
Training Epoch: 35 [20224/47500]	Loss: 0.0849	LR: 0.000800
Training Epoch: 35 [20480/47500]	Loss: 0.1322	LR: 0.000800
Training Epoch: 35 [20736/47500]	Loss: 0.1461	LR: 0.000800
Training Epoch: 35 [20992/47500]	Loss: 0.1405	LR: 0.000800
Training Epoch: 35 [21248/47500]	Loss: 0.1153	LR: 0.000800
Training Epoch: 35 [21504/47500]	Loss: 0.1740	LR: 0.000800
Training Epoch: 35 [21760/47500]	Loss: 0.1581	LR: 0.000800
Training Epoch: 35 [22016/47500]	Loss: 0.1119	LR: 0.000800
Training Epoch: 35 [22272/47500]	Loss: 0.1176	LR: 0.000800
Training Epoch: 35 [22528/47500]	Loss: 0.1283	LR: 0.000800
Training Epoch: 35 [22784/47500]	Loss: 0.1074	LR: 0.000800
Training Epoch: 35 [23040/47500]	Loss: 0.1220	LR: 0.000800
Training Epoch: 35 [23296/47500]	Loss: 0.1256	LR: 0.000800
Training Epoch: 35 [23552/47500]	Loss: 0.1054	LR: 0.000800
Training Epoch: 35 [23808/47500]	Loss: 0.0937	LR: 0.000800
Training Epoch: 35 [24064/47500]	Loss: 0.1278	LR: 0.000800
Training Epoch: 35 [24320/47500]	Loss: 0.1238	LR: 0.000800
Training Epoch: 35 [24576/47500]	Loss: 0.1145	LR: 0.000800
Training Epoch: 35 [24832/47500]	Loss: 0.1132	LR: 0.000800
Training Epoch: 35 [25088/47500]	Loss: 0.1809	LR: 0.000800
Training Epoch: 35 [25344/47500]	Loss: 0.1072	LR: 0.000800
Training Epoch: 35 [25600/47500]	Loss: 0.1129	LR: 0.000800
Training Epoch: 35 [25856/47500]	Loss: 0.1006	LR: 0.000800
Training Epoch: 35 [26112/47500]	Loss: 0.1338	LR: 0.000800
Training Epoch: 35 [26368/47500]	Loss: 0.1015	LR: 0.000800
Training Epoch: 35 [26624/47500]	Loss: 0.1260	LR: 0.000800
Training Epoch: 35 [26880/47500]	Loss: 0.1216	LR: 0.000800
Training Epoch: 35 [27136/47500]	Loss: 0.1007	LR: 0.000800
Training Epoch: 35 [27392/47500]	Loss: 0.1407	LR: 0.000800
Training Epoch: 35 [27648/47500]	Loss: 0.0919	LR: 0.000800
Training Epoch: 35 [27904/47500]	Loss: 0.1153	LR: 0.000800
Training Epoch: 35 [28160/47500]	Loss: 0.1199	LR: 0.000800
Training Epoch: 35 [28416/47500]	Loss: 0.0787	LR: 0.000800
Training Epoch: 35 [28672/47500]	Loss: 0.1277	LR: 0.000800
Training Epoch: 35 [28928/47500]	Loss: 0.1275	LR: 0.000800
Training Epoch: 35 [29184/47500]	Loss: 0.1292	LR: 0.000800
Training Epoch: 35 [29440/47500]	Loss: 0.0686	LR: 0.000800
Training Epoch: 35 [29696/47500]	Loss: 0.1744	LR: 0.000800
Training Epoch: 35 [29952/47500]	Loss: 0.0772	LR: 0.000800
Training Epoch: 35 [30208/47500]	Loss: 0.1086	LR: 0.000800
Training Epoch: 35 [30464/47500]	Loss: 0.1331	LR: 0.000800
Training Epoch: 35 [30720/47500]	Loss: 0.1076	LR: 0.000800
Training Epoch: 35 [30976/47500]	Loss: 0.1730	LR: 0.000800
Training Epoch: 35 [31232/47500]	Loss: 0.1320	LR: 0.000800
Training Epoch: 35 [31488/47500]	Loss: 0.1261	LR: 0.000800
Training Epoch: 35 [31744/47500]	Loss: 0.1404	LR: 0.000800
Training Epoch: 35 [32000/47500]	Loss: 0.1440	LR: 0.000800
Training Epoch: 35 [32256/47500]	Loss: 0.0874	LR: 0.000800
Training Epoch: 35 [32512/47500]	Loss: 0.0965	LR: 0.000800
Training Epoch: 35 [32768/47500]	Loss: 0.1404	LR: 0.000800
Training Epoch: 35 [33024/47500]	Loss: 0.1551	LR: 0.000800
Training Epoch: 35 [33280/47500]	Loss: 0.1091	LR: 0.000800
Training Epoch: 35 [33536/47500]	Loss: 0.1256	LR: 0.000800
Training Epoch: 35 [33792/47500]	Loss: 0.1001	LR: 0.000800
Training Epoch: 35 [34048/47500]	Loss: 0.1191	LR: 0.000800
Training Epoch: 35 [34304/47500]	Loss: 0.1284	LR: 0.000800
Training Epoch: 35 [34560/47500]	Loss: 0.1119	LR: 0.000800
Training Epoch: 35 [34816/47500]	Loss: 0.1372	LR: 0.000800
Training Epoch: 35 [35072/47500]	Loss: 0.0808	LR: 0.000800
Training Epoch: 35 [35328/47500]	Loss: 0.0897	LR: 0.000800
Training Epoch: 35 [35584/47500]	Loss: 0.1007	LR: 0.000800
Training Epoch: 35 [35840/47500]	Loss: 0.1366	LR: 0.000800
Training Epoch: 35 [36096/47500]	Loss: 0.1793	LR: 0.000800
Training Epoch: 35 [36352/47500]	Loss: 0.1381	LR: 0.000800
Training Epoch: 35 [36608/47500]	Loss: 0.1165	LR: 0.000800
Training Epoch: 35 [36864/47500]	Loss: 0.1679	LR: 0.000800
Training Epoch: 35 [37120/47500]	Loss: 0.1177	LR: 0.000800
Training Epoch: 35 [37376/47500]	Loss: 0.1388	LR: 0.000800
Training Epoch: 35 [37632/47500]	Loss: 0.1630	LR: 0.000800
Training Epoch: 35 [37888/47500]	Loss: 0.0964	LR: 0.000800
Training Epoch: 35 [38144/47500]	Loss: 0.1175	LR: 0.000800
Training Epoch: 35 [38400/47500]	Loss: 0.1061	LR: 0.000800
Training Epoch: 35 [38656/47500]	Loss: 0.2152	LR: 0.000800
Training Epoch: 35 [38912/47500]	Loss: 0.1145	LR: 0.000800
Training Epoch: 35 [39168/47500]	Loss: 0.0918	LR: 0.000800
Training Epoch: 35 [39424/47500]	Loss: 0.1429	LR: 0.000800
Training Epoch: 35 [39680/47500]	Loss: 0.0847	LR: 0.000800
Training Epoch: 35 [39936/47500]	Loss: 0.1075	LR: 0.000800
Training Epoch: 35 [40192/47500]	Loss: 0.1585	LR: 0.000800
Training Epoch: 35 [40448/47500]	Loss: 0.1321	LR: 0.000800
Training Epoch: 35 [40704/47500]	Loss: 0.1037	LR: 0.000800
Training Epoch: 35 [40960/47500]	Loss: 0.1280	LR: 0.000800
Training Epoch: 35 [41216/47500]	Loss: 0.1145	LR: 0.000800
Training Epoch: 35 [41472/47500]	Loss: 0.1059	LR: 0.000800
Training Epoch: 35 [41728/47500]	Loss: 0.0798	LR: 0.000800
Training Epoch: 35 [41984/47500]	Loss: 0.1144	LR: 0.000800
Training Epoch: 35 [42240/47500]	Loss: 0.1056	LR: 0.000800
Training Epoch: 35 [42496/47500]	Loss: 0.1227	LR: 0.000800
Training Epoch: 35 [42752/47500]	Loss: 0.0985	LR: 0.000800
Training Epoch: 35 [43008/47500]	Loss: 0.1340	LR: 0.000800
Training Epoch: 35 [43264/47500]	Loss: 0.1301	LR: 0.000800
Training Epoch: 35 [43520/47500]	Loss: 0.1342	LR: 0.000800
Training Epoch: 35 [43776/47500]	Loss: 0.1493	LR: 0.000800
Training Epoch: 35 [44032/47500]	Loss: 0.1281	LR: 0.000800
Training Epoch: 35 [44288/47500]	Loss: 0.0996	LR: 0.000800
Training Epoch: 35 [44544/47500]	Loss: 0.1067	LR: 0.000800
Training Epoch: 35 [44800/47500]	Loss: 0.1402	LR: 0.000800
Training Epoch: 35 [45056/47500]	Loss: 0.1201	LR: 0.000800
Training Epoch: 35 [45312/47500]	Loss: 0.1067	LR: 0.000800
Training Epoch: 35 [45568/47500]	Loss: 0.1131	LR: 0.000800
Training Epoch: 35 [45824/47500]	Loss: 0.1365	LR: 0.000800
Training Epoch: 35 [46080/47500]	Loss: 0.0898	LR: 0.000800
Training Epoch: 35 [46336/47500]	Loss: 0.1128	LR: 0.000800
Training Epoch: 35 [46592/47500]	Loss: 0.1313	LR: 0.000800
Training Epoch: 35 [46848/47500]	Loss: 0.1270	LR: 0.000800
Training Epoch: 35 [47104/47500]	Loss: 0.1279	LR: 0.000800
Training Epoch: 35 [47360/47500]	Loss: 0.1135	LR: 0.000800
Training Epoch: 35 [47500/47500]	Loss: 0.1564	LR: 0.000800
Epoch 35 - Average Train Loss: 0.1224, Train Accuracy: 0.9642
Epoch 35 training time consumed: 28.31s
Evaluating Network.....
Test set: Epoch: 35, Average loss: 0.0028, Accuracy: 0.8072, Time consumed:0.87s
Training Epoch: 36 [256/47500]	Loss: 0.1489	LR: 0.000800
Training Epoch: 36 [512/47500]	Loss: 0.0945	LR: 0.000800
Training Epoch: 36 [768/47500]	Loss: 0.0767	LR: 0.000800
Training Epoch: 36 [1024/47500]	Loss: 0.0946	LR: 0.000800
Training Epoch: 36 [1280/47500]	Loss: 0.1219	LR: 0.000800
Training Epoch: 36 [1536/47500]	Loss: 0.1252	LR: 0.000800
Training Epoch: 36 [1792/47500]	Loss: 0.1382	LR: 0.000800
Training Epoch: 36 [2048/47500]	Loss: 0.1260	LR: 0.000800
Training Epoch: 36 [2304/47500]	Loss: 0.0946	LR: 0.000800
Training Epoch: 36 [2560/47500]	Loss: 0.1085	LR: 0.000800
Training Epoch: 36 [2816/47500]	Loss: 0.0896	LR: 0.000800
Training Epoch: 36 [3072/47500]	Loss: 0.1354	LR: 0.000800
Training Epoch: 36 [3328/47500]	Loss: 0.0952	LR: 0.000800
Training Epoch: 36 [3584/47500]	Loss: 0.0981	LR: 0.000800
Training Epoch: 36 [3840/47500]	Loss: 0.0900	LR: 0.000800
Training Epoch: 36 [4096/47500]	Loss: 0.1672	LR: 0.000800
Training Epoch: 36 [4352/47500]	Loss: 0.0999	LR: 0.000800
Training Epoch: 36 [4608/47500]	Loss: 0.0844	LR: 0.000800
Training Epoch: 36 [4864/47500]	Loss: 0.0958	LR: 0.000800
Training Epoch: 36 [5120/47500]	Loss: 0.0978	LR: 0.000800
Training Epoch: 36 [5376/47500]	Loss: 0.1353	LR: 0.000800
Training Epoch: 36 [5632/47500]	Loss: 0.1471	LR: 0.000800
Training Epoch: 36 [5888/47500]	Loss: 0.0883	LR: 0.000800
Training Epoch: 36 [6144/47500]	Loss: 0.1058	LR: 0.000800
Training Epoch: 36 [6400/47500]	Loss: 0.0628	LR: 0.000800
Training Epoch: 36 [6656/47500]	Loss: 0.1068	LR: 0.000800
Training Epoch: 36 [6912/47500]	Loss: 0.1551	LR: 0.000800
Training Epoch: 36 [7168/47500]	Loss: 0.1093	LR: 0.000800
Training Epoch: 36 [7424/47500]	Loss: 0.1034	LR: 0.000800
Training Epoch: 36 [7680/47500]	Loss: 0.1269	LR: 0.000800
Training Epoch: 36 [7936/47500]	Loss: 0.0886	LR: 0.000800
Training Epoch: 36 [8192/47500]	Loss: 0.1306	LR: 0.000800
Training Epoch: 36 [8448/47500]	Loss: 0.1260	LR: 0.000800
Training Epoch: 36 [8704/47500]	Loss: 0.0711	LR: 0.000800
Training Epoch: 36 [8960/47500]	Loss: 0.1267	LR: 0.000800
Training Epoch: 36 [9216/47500]	Loss: 0.1302	LR: 0.000800
Training Epoch: 36 [9472/47500]	Loss: 0.1306	LR: 0.000800
Training Epoch: 36 [9728/47500]	Loss: 0.1138	LR: 0.000800
Training Epoch: 36 [9984/47500]	Loss: 0.1096	LR: 0.000800
Training Epoch: 36 [10240/47500]	Loss: 0.1100	LR: 0.000800
Training Epoch: 36 [10496/47500]	Loss: 0.1331	LR: 0.000800
Training Epoch: 36 [10752/47500]	Loss: 0.0912	LR: 0.000800
Training Epoch: 36 [11008/47500]	Loss: 0.1260	LR: 0.000800
Training Epoch: 36 [11264/47500]	Loss: 0.0875	LR: 0.000800
Training Epoch: 36 [11520/47500]	Loss: 0.1377	LR: 0.000800
Training Epoch: 36 [11776/47500]	Loss: 0.0942	LR: 0.000800
Training Epoch: 36 [12032/47500]	Loss: 0.0891	LR: 0.000800
Training Epoch: 36 [12288/47500]	Loss: 0.1530	LR: 0.000800
Training Epoch: 36 [12544/47500]	Loss: 0.1165	LR: 0.000800
Training Epoch: 36 [12800/47500]	Loss: 0.1433	LR: 0.000800
Training Epoch: 36 [13056/47500]	Loss: 0.1083	LR: 0.000800
Training Epoch: 36 [13312/47500]	Loss: 0.1216	LR: 0.000800
Training Epoch: 36 [13568/47500]	Loss: 0.0991	LR: 0.000800
Training Epoch: 36 [13824/47500]	Loss: 0.0891	LR: 0.000800
Training Epoch: 36 [14080/47500]	Loss: 0.0944	LR: 0.000800
Training Epoch: 36 [14336/47500]	Loss: 0.1675	LR: 0.000800
Training Epoch: 36 [14592/47500]	Loss: 0.1505	LR: 0.000800
Training Epoch: 36 [14848/47500]	Loss: 0.1271	LR: 0.000800
Training Epoch: 36 [15104/47500]	Loss: 0.1107	LR: 0.000800
Training Epoch: 36 [15360/47500]	Loss: 0.1151	LR: 0.000800
Training Epoch: 36 [15616/47500]	Loss: 0.1013	LR: 0.000800
Training Epoch: 36 [15872/47500]	Loss: 0.0955	LR: 0.000800
Training Epoch: 36 [16128/47500]	Loss: 0.1088	LR: 0.000800
Training Epoch: 36 [16384/47500]	Loss: 0.1193	LR: 0.000800
Training Epoch: 36 [16640/47500]	Loss: 0.1350	LR: 0.000800
Training Epoch: 36 [16896/47500]	Loss: 0.0917	LR: 0.000800
Training Epoch: 36 [17152/47500]	Loss: 0.0949	LR: 0.000800
Training Epoch: 36 [17408/47500]	Loss: 0.1294	LR: 0.000800
Training Epoch: 36 [17664/47500]	Loss: 0.1281	LR: 0.000800
Training Epoch: 36 [17920/47500]	Loss: 0.0826	LR: 0.000800
Training Epoch: 36 [18176/47500]	Loss: 0.0782	LR: 0.000800
Training Epoch: 36 [18432/47500]	Loss: 0.1326	LR: 0.000800
Training Epoch: 36 [18688/47500]	Loss: 0.0900	LR: 0.000800
Training Epoch: 36 [18944/47500]	Loss: 0.1116	LR: 0.000800
Training Epoch: 36 [19200/47500]	Loss: 0.1355	LR: 0.000800
Training Epoch: 36 [19456/47500]	Loss: 0.1237	LR: 0.000800
Training Epoch: 36 [19712/47500]	Loss: 0.1177	LR: 0.000800
Training Epoch: 36 [19968/47500]	Loss: 0.1178	LR: 0.000800
Training Epoch: 36 [20224/47500]	Loss: 0.1372	LR: 0.000800
Training Epoch: 36 [20480/47500]	Loss: 0.1324	LR: 0.000800
Training Epoch: 36 [20736/47500]	Loss: 0.0990	LR: 0.000800
Training Epoch: 36 [20992/47500]	Loss: 0.0928	LR: 0.000800
Training Epoch: 36 [21248/47500]	Loss: 0.1268	LR: 0.000800
Training Epoch: 36 [21504/47500]	Loss: 0.1394	LR: 0.000800
Training Epoch: 36 [21760/47500]	Loss: 0.1145	LR: 0.000800
Training Epoch: 36 [22016/47500]	Loss: 0.1169	LR: 0.000800
Training Epoch: 36 [22272/47500]	Loss: 0.0984	LR: 0.000800
Training Epoch: 36 [22528/47500]	Loss: 0.1575	LR: 0.000800
Training Epoch: 36 [22784/47500]	Loss: 0.1331	LR: 0.000800
Training Epoch: 36 [23040/47500]	Loss: 0.1184	LR: 0.000800
Training Epoch: 36 [23296/47500]	Loss: 0.0929	LR: 0.000800
Training Epoch: 36 [23552/47500]	Loss: 0.1367	LR: 0.000800
Training Epoch: 36 [23808/47500]	Loss: 0.0997	LR: 0.000800
Training Epoch: 36 [24064/47500]	Loss: 0.1214	LR: 0.000800
Training Epoch: 36 [24320/47500]	Loss: 0.1090	LR: 0.000800
Training Epoch: 36 [24576/47500]	Loss: 0.1276	LR: 0.000800
Training Epoch: 36 [24832/47500]	Loss: 0.1204	LR: 0.000800
Training Epoch: 36 [25088/47500]	Loss: 0.0876	LR: 0.000800
Training Epoch: 36 [25344/47500]	Loss: 0.1373	LR: 0.000800
Training Epoch: 36 [25600/47500]	Loss: 0.1676	LR: 0.000800
Training Epoch: 36 [25856/47500]	Loss: 0.1198	LR: 0.000800
Training Epoch: 36 [26112/47500]	Loss: 0.1128	LR: 0.000800
Training Epoch: 36 [26368/47500]	Loss: 0.1109	LR: 0.000800
Training Epoch: 36 [26624/47500]	Loss: 0.0847	LR: 0.000800
Training Epoch: 36 [26880/47500]	Loss: 0.1271	LR: 0.000800
Training Epoch: 36 [27136/47500]	Loss: 0.1248	LR: 0.000800
Training Epoch: 36 [27392/47500]	Loss: 0.1154	LR: 0.000800
Training Epoch: 36 [27648/47500]	Loss: 0.1115	LR: 0.000800
Training Epoch: 36 [27904/47500]	Loss: 0.1315	LR: 0.000800
Training Epoch: 36 [28160/47500]	Loss: 0.1217	LR: 0.000800
Training Epoch: 36 [28416/47500]	Loss: 0.0872	LR: 0.000800
Training Epoch: 36 [28672/47500]	Loss: 0.1698	LR: 0.000800
Training Epoch: 36 [28928/47500]	Loss: 0.1179	LR: 0.000800
Training Epoch: 36 [29184/47500]	Loss: 0.1574	LR: 0.000800
Training Epoch: 36 [29440/47500]	Loss: 0.1576	LR: 0.000800
Training Epoch: 36 [29696/47500]	Loss: 0.1620	LR: 0.000800
Training Epoch: 36 [29952/47500]	Loss: 0.1839	LR: 0.000800
Training Epoch: 36 [30208/47500]	Loss: 0.0741	LR: 0.000800
Training Epoch: 36 [30464/47500]	Loss: 0.0934	LR: 0.000800
Training Epoch: 36 [30720/47500]	Loss: 0.1487	LR: 0.000800
Training Epoch: 36 [30976/47500]	Loss: 0.1200	LR: 0.000800
Training Epoch: 36 [31232/47500]	Loss: 0.1907	LR: 0.000800
Training Epoch: 36 [31488/47500]	Loss: 0.1544	LR: 0.000800
Training Epoch: 36 [31744/47500]	Loss: 0.1072	LR: 0.000800
Training Epoch: 36 [32000/47500]	Loss: 0.1522	LR: 0.000800
Training Epoch: 36 [32256/47500]	Loss: 0.0784	LR: 0.000800
Training Epoch: 36 [32512/47500]	Loss: 0.0830	LR: 0.000800
Training Epoch: 36 [32768/47500]	Loss: 0.1144	LR: 0.000800
Training Epoch: 36 [33024/47500]	Loss: 0.1004	LR: 0.000800
Training Epoch: 36 [33280/47500]	Loss: 0.1288	LR: 0.000800
Training Epoch: 36 [33536/47500]	Loss: 0.1095	LR: 0.000800
Training Epoch: 36 [33792/47500]	Loss: 0.1026	LR: 0.000800
Training Epoch: 36 [34048/47500]	Loss: 0.0981	LR: 0.000800
Training Epoch: 36 [34304/47500]	Loss: 0.1143	LR: 0.000800
Training Epoch: 36 [34560/47500]	Loss: 0.1158	LR: 0.000800
Training Epoch: 36 [34816/47500]	Loss: 0.1107	LR: 0.000800
Training Epoch: 36 [35072/47500]	Loss: 0.0930	LR: 0.000800
Training Epoch: 36 [35328/47500]	Loss: 0.1537	LR: 0.000800
Training Epoch: 36 [35584/47500]	Loss: 0.0965	LR: 0.000800
Training Epoch: 36 [35840/47500]	Loss: 0.1025	LR: 0.000800
Training Epoch: 36 [36096/47500]	Loss: 0.1136	LR: 0.000800
Training Epoch: 36 [36352/47500]	Loss: 0.1126	LR: 0.000800
Training Epoch: 36 [36608/47500]	Loss: 0.1047	LR: 0.000800
Training Epoch: 36 [36864/47500]	Loss: 0.0919	LR: 0.000800
Training Epoch: 36 [37120/47500]	Loss: 0.0949	LR: 0.000800
Training Epoch: 36 [37376/47500]	Loss: 0.1033	LR: 0.000800
Training Epoch: 36 [37632/47500]	Loss: 0.1510	LR: 0.000800
Training Epoch: 36 [37888/47500]	Loss: 0.0909	LR: 0.000800
Training Epoch: 36 [38144/47500]	Loss: 0.1127	LR: 0.000800
Training Epoch: 36 [38400/47500]	Loss: 0.1315	LR: 0.000800
Training Epoch: 36 [38656/47500]	Loss: 0.1420	LR: 0.000800
Training Epoch: 36 [38912/47500]	Loss: 0.1547	LR: 0.000800
Training Epoch: 36 [39168/47500]	Loss: 0.1348	LR: 0.000800
Training Epoch: 36 [39424/47500]	Loss: 0.1383	LR: 0.000800
Training Epoch: 36 [39680/47500]	Loss: 0.0822	LR: 0.000800
Training Epoch: 36 [39936/47500]	Loss: 0.1010	LR: 0.000800
Training Epoch: 36 [40192/47500]	Loss: 0.1465	LR: 0.000800
Training Epoch: 36 [40448/47500]	Loss: 0.1190	LR: 0.000800
Training Epoch: 36 [40704/47500]	Loss: 0.1088	LR: 0.000800
Training Epoch: 36 [40960/47500]	Loss: 0.1102	LR: 0.000800
Training Epoch: 36 [41216/47500]	Loss: 0.0895	LR: 0.000800
Training Epoch: 36 [41472/47500]	Loss: 0.0936	LR: 0.000800
Training Epoch: 36 [41728/47500]	Loss: 0.1325	LR: 0.000800
Training Epoch: 36 [41984/47500]	Loss: 0.1091	LR: 0.000800
Training Epoch: 36 [42240/47500]	Loss: 0.1032	LR: 0.000800
Training Epoch: 36 [42496/47500]	Loss: 0.0965	LR: 0.000800
Training Epoch: 36 [42752/47500]	Loss: 0.1287	LR: 0.000800
Training Epoch: 36 [43008/47500]	Loss: 0.1277	LR: 0.000800
Training Epoch: 36 [43264/47500]	Loss: 0.1171	LR: 0.000800
Training Epoch: 36 [43520/47500]	Loss: 0.0983	LR: 0.000800
Training Epoch: 36 [43776/47500]	Loss: 0.1014	LR: 0.000800
Training Epoch: 36 [44032/47500]	Loss: 0.1320	LR: 0.000800
Training Epoch: 36 [44288/47500]	Loss: 0.1518	LR: 0.000800
Training Epoch: 36 [44544/47500]	Loss: 0.1031	LR: 0.000800
Training Epoch: 36 [44800/47500]	Loss: 0.1055	LR: 0.000800
Training Epoch: 36 [45056/47500]	Loss: 0.1654	LR: 0.000800
Training Epoch: 36 [45312/47500]	Loss: 0.1703	LR: 0.000800
Training Epoch: 36 [45568/47500]	Loss: 0.1196	LR: 0.000800
Training Epoch: 36 [45824/47500]	Loss: 0.1594	LR: 0.000800
Training Epoch: 36 [46080/47500]	Loss: 0.1064	LR: 0.000800
Training Epoch: 36 [46336/47500]	Loss: 0.0828	LR: 0.000800
Training Epoch: 36 [46592/47500]	Loss: 0.0740	LR: 0.000800
Training Epoch: 36 [46848/47500]	Loss: 0.1375	LR: 0.000800
Training Epoch: 36 [47104/47500]	Loss: 0.1262	LR: 0.000800
Training Epoch: 36 [47360/47500]	Loss: 0.1390	LR: 0.000800
Training Epoch: 36 [47500/47500]	Loss: 0.0918	LR: 0.000800
Epoch 36 - Average Train Loss: 0.1168, Train Accuracy: 0.9656
Epoch 36 training time consumed: 28.57s
Evaluating Network.....
Test set: Epoch: 36, Average loss: 0.0028, Accuracy: 0.8072, Time consumed:0.92s
Training Epoch: 37 [256/47500]	Loss: 0.1219	LR: 0.000800
Training Epoch: 37 [512/47500]	Loss: 0.0879	LR: 0.000800
Training Epoch: 37 [768/47500]	Loss: 0.0928	LR: 0.000800
Training Epoch: 37 [1024/47500]	Loss: 0.1158	LR: 0.000800
Training Epoch: 37 [1280/47500]	Loss: 0.0990	LR: 0.000800
Training Epoch: 37 [1536/47500]	Loss: 0.1288	LR: 0.000800
Training Epoch: 37 [1792/47500]	Loss: 0.1495	LR: 0.000800
Training Epoch: 37 [2048/47500]	Loss: 0.1231	LR: 0.000800
Training Epoch: 37 [2304/47500]	Loss: 0.0931	LR: 0.000800
Training Epoch: 37 [2560/47500]	Loss: 0.0717	LR: 0.000800
Training Epoch: 37 [2816/47500]	Loss: 0.0923	LR: 0.000800
Training Epoch: 37 [3072/47500]	Loss: 0.1373	LR: 0.000800
Training Epoch: 37 [3328/47500]	Loss: 0.1311	LR: 0.000800
Training Epoch: 37 [3584/47500]	Loss: 0.1215	LR: 0.000800
Training Epoch: 37 [3840/47500]	Loss: 0.1425	LR: 0.000800
Training Epoch: 37 [4096/47500]	Loss: 0.1182	LR: 0.000800
Training Epoch: 37 [4352/47500]	Loss: 0.0929	LR: 0.000800
Training Epoch: 37 [4608/47500]	Loss: 0.1405	LR: 0.000800
Training Epoch: 37 [4864/47500]	Loss: 0.1029	LR: 0.000800
Training Epoch: 37 [5120/47500]	Loss: 0.0947	LR: 0.000800
Training Epoch: 37 [5376/47500]	Loss: 0.1183	LR: 0.000800
Training Epoch: 37 [5632/47500]	Loss: 0.1110	LR: 0.000800
Training Epoch: 37 [5888/47500]	Loss: 0.1100	LR: 0.000800
Training Epoch: 37 [6144/47500]	Loss: 0.0995	LR: 0.000800
Training Epoch: 37 [6400/47500]	Loss: 0.1291	LR: 0.000800
Training Epoch: 37 [6656/47500]	Loss: 0.1146	LR: 0.000800
Training Epoch: 37 [6912/47500]	Loss: 0.1566	LR: 0.000800
Training Epoch: 37 [7168/47500]	Loss: 0.0868	LR: 0.000800
Training Epoch: 37 [7424/47500]	Loss: 0.1099	LR: 0.000800
Training Epoch: 37 [7680/47500]	Loss: 0.0781	LR: 0.000800
Training Epoch: 37 [7936/47500]	Loss: 0.1076	LR: 0.000800
Training Epoch: 37 [8192/47500]	Loss: 0.1217	LR: 0.000800
Training Epoch: 37 [8448/47500]	Loss: 0.1145	LR: 0.000800
Training Epoch: 37 [8704/47500]	Loss: 0.0686	LR: 0.000800
Training Epoch: 37 [8960/47500]	Loss: 0.1372	LR: 0.000800
Training Epoch: 37 [9216/47500]	Loss: 0.1197	LR: 0.000800
Training Epoch: 37 [9472/47500]	Loss: 0.0881	LR: 0.000800
Training Epoch: 37 [9728/47500]	Loss: 0.0898	LR: 0.000800
Training Epoch: 37 [9984/47500]	Loss: 0.0990	LR: 0.000800
Training Epoch: 37 [10240/47500]	Loss: 0.1156	LR: 0.000800
Training Epoch: 37 [10496/47500]	Loss: 0.1084	LR: 0.000800
Training Epoch: 37 [10752/47500]	Loss: 0.1220	LR: 0.000800
Training Epoch: 37 [11008/47500]	Loss: 0.1068	LR: 0.000800
Training Epoch: 37 [11264/47500]	Loss: 0.1160	LR: 0.000800
Training Epoch: 37 [11520/47500]	Loss: 0.1651	LR: 0.000800
Training Epoch: 37 [11776/47500]	Loss: 0.0757	LR: 0.000800
Training Epoch: 37 [12032/47500]	Loss: 0.1254	LR: 0.000800
Training Epoch: 37 [12288/47500]	Loss: 0.1052	LR: 0.000800
Training Epoch: 37 [12544/47500]	Loss: 0.1250	LR: 0.000800
Training Epoch: 37 [12800/47500]	Loss: 0.0733	LR: 0.000800
Training Epoch: 37 [13056/47500]	Loss: 0.1131	LR: 0.000800
Training Epoch: 37 [13312/47500]	Loss: 0.1105	LR: 0.000800
Training Epoch: 37 [13568/47500]	Loss: 0.1490	LR: 0.000800
Training Epoch: 37 [13824/47500]	Loss: 0.1018	LR: 0.000800
Training Epoch: 37 [14080/47500]	Loss: 0.0956	LR: 0.000800
Training Epoch: 37 [14336/47500]	Loss: 0.1644	LR: 0.000800
Training Epoch: 37 [14592/47500]	Loss: 0.1108	LR: 0.000800
Training Epoch: 37 [14848/47500]	Loss: 0.1222	LR: 0.000800
Training Epoch: 37 [15104/47500]	Loss: 0.0977	LR: 0.000800
Training Epoch: 37 [15360/47500]	Loss: 0.1043	LR: 0.000800
Training Epoch: 37 [15616/47500]	Loss: 0.1492	LR: 0.000800
Training Epoch: 37 [15872/47500]	Loss: 0.1178	LR: 0.000800
Training Epoch: 37 [16128/47500]	Loss: 0.1198	LR: 0.000800
Training Epoch: 37 [16384/47500]	Loss: 0.1105	LR: 0.000800
Training Epoch: 37 [16640/47500]	Loss: 0.0739	LR: 0.000800
Training Epoch: 37 [16896/47500]	Loss: 0.1003	LR: 0.000800
Training Epoch: 37 [17152/47500]	Loss: 0.0946	LR: 0.000800
Training Epoch: 37 [17408/47500]	Loss: 0.1046	LR: 0.000800
Training Epoch: 37 [17664/47500]	Loss: 0.1227	LR: 0.000800
Training Epoch: 37 [17920/47500]	Loss: 0.1033	LR: 0.000800
Training Epoch: 37 [18176/47500]	Loss: 0.1061	LR: 0.000800
Training Epoch: 37 [18432/47500]	Loss: 0.0849	LR: 0.000800
Training Epoch: 37 [18688/47500]	Loss: 0.1042	LR: 0.000800
Training Epoch: 37 [18944/47500]	Loss: 0.1222	LR: 0.000800
Training Epoch: 37 [19200/47500]	Loss: 0.1100	LR: 0.000800
Training Epoch: 37 [19456/47500]	Loss: 0.1108	LR: 0.000800
Training Epoch: 37 [19712/47500]	Loss: 0.1089	LR: 0.000800
Training Epoch: 37 [19968/47500]	Loss: 0.1625	LR: 0.000800
Training Epoch: 37 [20224/47500]	Loss: 0.0939	LR: 0.000800
Training Epoch: 37 [20480/47500]	Loss: 0.0811	LR: 0.000800
Training Epoch: 37 [20736/47500]	Loss: 0.0772	LR: 0.000800
Training Epoch: 37 [20992/47500]	Loss: 0.0993	LR: 0.000800
Training Epoch: 37 [21248/47500]	Loss: 0.1067	LR: 0.000800
Training Epoch: 37 [21504/47500]	Loss: 0.1061	LR: 0.000800
Training Epoch: 37 [21760/47500]	Loss: 0.1010	LR: 0.000800
Training Epoch: 37 [22016/47500]	Loss: 0.1304	LR: 0.000800
Training Epoch: 37 [22272/47500]	Loss: 0.1334	LR: 0.000800
Training Epoch: 37 [22528/47500]	Loss: 0.1198	LR: 0.000800
Training Epoch: 37 [22784/47500]	Loss: 0.1661	LR: 0.000800
Training Epoch: 37 [23040/47500]	Loss: 0.1102	LR: 0.000800
Training Epoch: 37 [23296/47500]	Loss: 0.1099	LR: 0.000800
Training Epoch: 37 [23552/47500]	Loss: 0.1341	LR: 0.000800
Training Epoch: 37 [23808/47500]	Loss: 0.1168	LR: 0.000800
Training Epoch: 37 [24064/47500]	Loss: 0.0902	LR: 0.000800
Training Epoch: 37 [24320/47500]	Loss: 0.1260	LR: 0.000800
Training Epoch: 37 [24576/47500]	Loss: 0.1123	LR: 0.000800
Training Epoch: 37 [24832/47500]	Loss: 0.0834	LR: 0.000800
Training Epoch: 37 [25088/47500]	Loss: 0.1165	LR: 0.000800
Training Epoch: 37 [25344/47500]	Loss: 0.1345	LR: 0.000800
Training Epoch: 37 [25600/47500]	Loss: 0.0937	LR: 0.000800
Training Epoch: 37 [25856/47500]	Loss: 0.1371	LR: 0.000800
Training Epoch: 37 [26112/47500]	Loss: 0.1371	LR: 0.000800
Training Epoch: 37 [26368/47500]	Loss: 0.1048	LR: 0.000800
Training Epoch: 37 [26624/47500]	Loss: 0.1299	LR: 0.000800
Training Epoch: 37 [26880/47500]	Loss: 0.1135	LR: 0.000800
Training Epoch: 37 [27136/47500]	Loss: 0.1185	LR: 0.000800
Training Epoch: 37 [27392/47500]	Loss: 0.1116	LR: 0.000800
Training Epoch: 37 [27648/47500]	Loss: 0.0893	LR: 0.000800
Training Epoch: 37 [27904/47500]	Loss: 0.1158	LR: 0.000800
Training Epoch: 37 [28160/47500]	Loss: 0.1275	LR: 0.000800
Training Epoch: 37 [28416/47500]	Loss: 0.1149	LR: 0.000800
Training Epoch: 37 [28672/47500]	Loss: 0.1233	LR: 0.000800
Training Epoch: 37 [28928/47500]	Loss: 0.1433	LR: 0.000800
Training Epoch: 37 [29184/47500]	Loss: 0.1230	LR: 0.000800
Training Epoch: 37 [29440/47500]	Loss: 0.1039	LR: 0.000800
Training Epoch: 37 [29696/47500]	Loss: 0.1383	LR: 0.000800
Training Epoch: 37 [29952/47500]	Loss: 0.1080	LR: 0.000800
Training Epoch: 37 [30208/47500]	Loss: 0.2189	LR: 0.000800
Training Epoch: 37 [30464/47500]	Loss: 0.0877	LR: 0.000800
Training Epoch: 37 [30720/47500]	Loss: 0.1348	LR: 0.000800
Training Epoch: 37 [30976/47500]	Loss: 0.0910	LR: 0.000800
Training Epoch: 37 [31232/47500]	Loss: 0.0964	LR: 0.000800
Training Epoch: 37 [31488/47500]	Loss: 0.1340	LR: 0.000800
Training Epoch: 37 [31744/47500]	Loss: 0.0680	LR: 0.000800
Training Epoch: 37 [32000/47500]	Loss: 0.1047	LR: 0.000800
Training Epoch: 37 [32256/47500]	Loss: 0.1283	LR: 0.000800
Training Epoch: 37 [32512/47500]	Loss: 0.1124	LR: 0.000800
Training Epoch: 37 [32768/47500]	Loss: 0.0879	LR: 0.000800
Training Epoch: 37 [33024/47500]	Loss: 0.1293	LR: 0.000800
Training Epoch: 37 [33280/47500]	Loss: 0.1051	LR: 0.000800
Training Epoch: 37 [33536/47500]	Loss: 0.1559	LR: 0.000800
Training Epoch: 37 [33792/47500]	Loss: 0.0953	LR: 0.000800
Training Epoch: 37 [34048/47500]	Loss: 0.1547	LR: 0.000800
Training Epoch: 37 [34304/47500]	Loss: 0.0827	LR: 0.000800
Training Epoch: 37 [34560/47500]	Loss: 0.1446	LR: 0.000800
Training Epoch: 37 [34816/47500]	Loss: 0.1231	LR: 0.000800
Training Epoch: 37 [35072/47500]	Loss: 0.1265	LR: 0.000800
Training Epoch: 37 [35328/47500]	Loss: 0.1169	LR: 0.000800
Training Epoch: 37 [35584/47500]	Loss: 0.1231	LR: 0.000800
Training Epoch: 37 [35840/47500]	Loss: 0.0923	LR: 0.000800
Training Epoch: 37 [36096/47500]	Loss: 0.1044	LR: 0.000800
Training Epoch: 37 [36352/47500]	Loss: 0.1137	LR: 0.000800
Training Epoch: 37 [36608/47500]	Loss: 0.1230	LR: 0.000800
Training Epoch: 37 [36864/47500]	Loss: 0.1317	LR: 0.000800
Training Epoch: 37 [37120/47500]	Loss: 0.0893	LR: 0.000800
Training Epoch: 37 [37376/47500]	Loss: 0.1091	LR: 0.000800
Training Epoch: 37 [37632/47500]	Loss: 0.0785	LR: 0.000800
Training Epoch: 37 [37888/47500]	Loss: 0.0806	LR: 0.000800
Training Epoch: 37 [38144/47500]	Loss: 0.1094	LR: 0.000800
Training Epoch: 37 [38400/47500]	Loss: 0.1252	LR: 0.000800
Training Epoch: 37 [38656/47500]	Loss: 0.0937	LR: 0.000800
Training Epoch: 37 [38912/47500]	Loss: 0.1257	LR: 0.000800
Training Epoch: 37 [39168/47500]	Loss: 0.1084	LR: 0.000800
Training Epoch: 37 [39424/47500]	Loss: 0.1009	LR: 0.000800
Training Epoch: 37 [39680/47500]	Loss: 0.1000	LR: 0.000800
Training Epoch: 37 [39936/47500]	Loss: 0.1496	LR: 0.000800
Training Epoch: 37 [40192/47500]	Loss: 0.1044	LR: 0.000800
Training Epoch: 37 [40448/47500]	Loss: 0.1106	LR: 0.000800
Training Epoch: 37 [40704/47500]	Loss: 0.0770	LR: 0.000800
Training Epoch: 37 [40960/47500]	Loss: 0.0844	LR: 0.000800
Training Epoch: 37 [41216/47500]	Loss: 0.1628	LR: 0.000800
Training Epoch: 37 [41472/47500]	Loss: 0.1531	LR: 0.000800
Training Epoch: 37 [41728/47500]	Loss: 0.0974	LR: 0.000800
Training Epoch: 37 [41984/47500]	Loss: 0.1145	LR: 0.000800
Training Epoch: 37 [42240/47500]	Loss: 0.1039	LR: 0.000800
Training Epoch: 37 [42496/47500]	Loss: 0.1224	LR: 0.000800
Training Epoch: 37 [42752/47500]	Loss: 0.1333	LR: 0.000800
Training Epoch: 37 [43008/47500]	Loss: 0.1221	LR: 0.000800
Training Epoch: 37 [43264/47500]	Loss: 0.1286	LR: 0.000800
Training Epoch: 37 [43520/47500]	Loss: 0.1117	LR: 0.000800
Training Epoch: 37 [43776/47500]	Loss: 0.1109	LR: 0.000800
Training Epoch: 37 [44032/47500]	Loss: 0.0757	LR: 0.000800
Training Epoch: 37 [44288/47500]	Loss: 0.1422	LR: 0.000800
Training Epoch: 37 [44544/47500]	Loss: 0.0719	LR: 0.000800
Training Epoch: 37 [44800/47500]	Loss: 0.1236	LR: 0.000800
Training Epoch: 37 [45056/47500]	Loss: 0.0943	LR: 0.000800
Training Epoch: 37 [45312/47500]	Loss: 0.0783	LR: 0.000800
Training Epoch: 37 [45568/47500]	Loss: 0.1184	LR: 0.000800
Training Epoch: 37 [45824/47500]	Loss: 0.1031	LR: 0.000800
Training Epoch: 37 [46080/47500]	Loss: 0.0992	LR: 0.000800
Training Epoch: 37 [46336/47500]	Loss: 0.0923	LR: 0.000800
Training Epoch: 37 [46592/47500]	Loss: 0.1134	LR: 0.000800
Training Epoch: 37 [46848/47500]	Loss: 0.1028	LR: 0.000800
Training Epoch: 37 [47104/47500]	Loss: 0.0883	LR: 0.000800
Training Epoch: 37 [47360/47500]	Loss: 0.1611	LR: 0.000800
Training Epoch: 37 [47500/47500]	Loss: 0.0915	LR: 0.000800
Epoch 37 - Average Train Loss: 0.1128, Train Accuracy: 0.9685
Epoch 37 training time consumed: 28.43s
Evaluating Network.....
Test set: Epoch: 37, Average loss: 0.0028, Accuracy: 0.8067, Time consumed:0.86s
Training Epoch: 38 [256/47500]	Loss: 0.1037	LR: 0.000800
Training Epoch: 38 [512/47500]	Loss: 0.0964	LR: 0.000800
Training Epoch: 38 [768/47500]	Loss: 0.1300	LR: 0.000800
Training Epoch: 38 [1024/47500]	Loss: 0.1468	LR: 0.000800
Training Epoch: 38 [1280/47500]	Loss: 0.1283	LR: 0.000800
Training Epoch: 38 [1536/47500]	Loss: 0.1072	LR: 0.000800
Training Epoch: 38 [1792/47500]	Loss: 0.1149	LR: 0.000800
Training Epoch: 38 [2048/47500]	Loss: 0.0770	LR: 0.000800
Training Epoch: 38 [2304/47500]	Loss: 0.1151	LR: 0.000800
Training Epoch: 38 [2560/47500]	Loss: 0.1176	LR: 0.000800
Training Epoch: 38 [2816/47500]	Loss: 0.1336	LR: 0.000800
Training Epoch: 38 [3072/47500]	Loss: 0.1110	LR: 0.000800
Training Epoch: 38 [3328/47500]	Loss: 0.1570	LR: 0.000800
Training Epoch: 38 [3584/47500]	Loss: 0.0843	LR: 0.000800
Training Epoch: 38 [3840/47500]	Loss: 0.1374	LR: 0.000800
Training Epoch: 38 [4096/47500]	Loss: 0.0966	LR: 0.000800
Training Epoch: 38 [4352/47500]	Loss: 0.0971	LR: 0.000800
Training Epoch: 38 [4608/47500]	Loss: 0.0881	LR: 0.000800
Training Epoch: 38 [4864/47500]	Loss: 0.0872	LR: 0.000800
Training Epoch: 38 [5120/47500]	Loss: 0.1271	LR: 0.000800
Training Epoch: 38 [5376/47500]	Loss: 0.1115	LR: 0.000800
Training Epoch: 38 [5632/47500]	Loss: 0.1626	LR: 0.000800
Training Epoch: 38 [5888/47500]	Loss: 0.0909	LR: 0.000800
Training Epoch: 38 [6144/47500]	Loss: 0.0965	LR: 0.000800
Training Epoch: 38 [6400/47500]	Loss: 0.1007	LR: 0.000800
Training Epoch: 38 [6656/47500]	Loss: 0.1272	LR: 0.000800
Training Epoch: 38 [6912/47500]	Loss: 0.0922	LR: 0.000800
Training Epoch: 38 [7168/47500]	Loss: 0.1048	LR: 0.000800
Training Epoch: 38 [7424/47500]	Loss: 0.1179	LR: 0.000800
Training Epoch: 38 [7680/47500]	Loss: 0.1096	LR: 0.000800
Training Epoch: 38 [7936/47500]	Loss: 0.0993	LR: 0.000800
Training Epoch: 38 [8192/47500]	Loss: 0.1018	LR: 0.000800
Training Epoch: 38 [8448/47500]	Loss: 0.1033	LR: 0.000800
Training Epoch: 38 [8704/47500]	Loss: 0.1286	LR: 0.000800
Training Epoch: 38 [8960/47500]	Loss: 0.0902	LR: 0.000800
Training Epoch: 38 [9216/47500]	Loss: 0.1254	LR: 0.000800
Training Epoch: 38 [9472/47500]	Loss: 0.1309	LR: 0.000800
Training Epoch: 38 [9728/47500]	Loss: 0.1176	LR: 0.000800
Training Epoch: 38 [9984/47500]	Loss: 0.0885	LR: 0.000800
Training Epoch: 38 [10240/47500]	Loss: 0.0931	LR: 0.000800
Training Epoch: 38 [10496/47500]	Loss: 0.1291	LR: 0.000800
Training Epoch: 38 [10752/47500]	Loss: 0.1202	LR: 0.000800
Training Epoch: 38 [11008/47500]	Loss: 0.1195	LR: 0.000800
Training Epoch: 38 [11264/47500]	Loss: 0.1142	LR: 0.000800
Training Epoch: 38 [11520/47500]	Loss: 0.1045	LR: 0.000800
Training Epoch: 38 [11776/47500]	Loss: 0.0883	LR: 0.000800
Training Epoch: 38 [12032/47500]	Loss: 0.1079	LR: 0.000800
Training Epoch: 38 [12288/47500]	Loss: 0.1505	LR: 0.000800
Training Epoch: 38 [12544/47500]	Loss: 0.1162	LR: 0.000800
Training Epoch: 38 [12800/47500]	Loss: 0.1149	LR: 0.000800
Training Epoch: 38 [13056/47500]	Loss: 0.1081	LR: 0.000800
Training Epoch: 38 [13312/47500]	Loss: 0.1023	LR: 0.000800
Training Epoch: 38 [13568/47500]	Loss: 0.1516	LR: 0.000800
Training Epoch: 38 [13824/47500]	Loss: 0.1049	LR: 0.000800
Training Epoch: 38 [14080/47500]	Loss: 0.1027	LR: 0.000800
Training Epoch: 38 [14336/47500]	Loss: 0.1070	LR: 0.000800
Training Epoch: 38 [14592/47500]	Loss: 0.1106	LR: 0.000800
Training Epoch: 38 [14848/47500]	Loss: 0.0884	LR: 0.000800
Training Epoch: 38 [15104/47500]	Loss: 0.0998	LR: 0.000800
Training Epoch: 38 [15360/47500]	Loss: 0.1135	LR: 0.000800
Training Epoch: 38 [15616/47500]	Loss: 0.1349	LR: 0.000800
Training Epoch: 38 [15872/47500]	Loss: 0.1168	LR: 0.000800
Training Epoch: 38 [16128/47500]	Loss: 0.1154	LR: 0.000800
Training Epoch: 38 [16384/47500]	Loss: 0.0917	LR: 0.000800
Training Epoch: 38 [16640/47500]	Loss: 0.1306	LR: 0.000800
Training Epoch: 38 [16896/47500]	Loss: 0.1130	LR: 0.000800
Training Epoch: 38 [17152/47500]	Loss: 0.0819	LR: 0.000800
Training Epoch: 38 [17408/47500]	Loss: 0.1188	LR: 0.000800
Training Epoch: 38 [17664/47500]	Loss: 0.0804	LR: 0.000800
Training Epoch: 38 [17920/47500]	Loss: 0.0971	LR: 0.000800
Training Epoch: 38 [18176/47500]	Loss: 0.1365	LR: 0.000800
Training Epoch: 38 [18432/47500]	Loss: 0.0899	LR: 0.000800
Training Epoch: 38 [18688/47500]	Loss: 0.1366	LR: 0.000800
Training Epoch: 38 [18944/47500]	Loss: 0.1095	LR: 0.000800
Training Epoch: 38 [19200/47500]	Loss: 0.1087	LR: 0.000800
Training Epoch: 38 [19456/47500]	Loss: 0.0945	LR: 0.000800
Training Epoch: 38 [19712/47500]	Loss: 0.0680	LR: 0.000800
Training Epoch: 38 [19968/47500]	Loss: 0.1109	LR: 0.000800
Training Epoch: 38 [20224/47500]	Loss: 0.1241	LR: 0.000800
Training Epoch: 38 [20480/47500]	Loss: 0.0898	LR: 0.000800
Training Epoch: 38 [20736/47500]	Loss: 0.0932	LR: 0.000800
Training Epoch: 38 [20992/47500]	Loss: 0.0998	LR: 0.000800
Training Epoch: 38 [21248/47500]	Loss: 0.1227	LR: 0.000800
Training Epoch: 38 [21504/47500]	Loss: 0.1408	LR: 0.000800
Training Epoch: 38 [21760/47500]	Loss: 0.0811	LR: 0.000800
Training Epoch: 38 [22016/47500]	Loss: 0.1089	LR: 0.000800
Training Epoch: 38 [22272/47500]	Loss: 0.1517	LR: 0.000800
Training Epoch: 38 [22528/47500]	Loss: 0.1086	LR: 0.000800
Training Epoch: 38 [22784/47500]	Loss: 0.0920	LR: 0.000800
Training Epoch: 38 [23040/47500]	Loss: 0.1036	LR: 0.000800
Training Epoch: 38 [23296/47500]	Loss: 0.0891	LR: 0.000800
Training Epoch: 38 [23552/47500]	Loss: 0.1204	LR: 0.000800
Training Epoch: 38 [23808/47500]	Loss: 0.1324	LR: 0.000800
Training Epoch: 38 [24064/47500]	Loss: 0.1015	LR: 0.000800
Training Epoch: 38 [24320/47500]	Loss: 0.1187	LR: 0.000800
Training Epoch: 38 [24576/47500]	Loss: 0.0768	LR: 0.000800
Training Epoch: 38 [24832/47500]	Loss: 0.1360	LR: 0.000800
Training Epoch: 38 [25088/47500]	Loss: 0.1526	LR: 0.000800
Training Epoch: 38 [25344/47500]	Loss: 0.1048	LR: 0.000800
Training Epoch: 38 [25600/47500]	Loss: 0.0725	LR: 0.000800
Training Epoch: 38 [25856/47500]	Loss: 0.1163	LR: 0.000800
Training Epoch: 38 [26112/47500]	Loss: 0.1222	LR: 0.000800
Training Epoch: 38 [26368/47500]	Loss: 0.1475	LR: 0.000800
Training Epoch: 38 [26624/47500]	Loss: 0.1253	LR: 0.000800
Training Epoch: 38 [26880/47500]	Loss: 0.0700	LR: 0.000800
Training Epoch: 38 [27136/47500]	Loss: 0.1179	LR: 0.000800
Training Epoch: 38 [27392/47500]	Loss: 0.1304	LR: 0.000800
Training Epoch: 38 [27648/47500]	Loss: 0.1015	LR: 0.000800
Training Epoch: 38 [27904/47500]	Loss: 0.0942	LR: 0.000800
Training Epoch: 38 [28160/47500]	Loss: 0.0959	LR: 0.000800
Training Epoch: 38 [28416/47500]	Loss: 0.1456	LR: 0.000800
Training Epoch: 38 [28672/47500]	Loss: 0.1007	LR: 0.000800
Training Epoch: 38 [28928/47500]	Loss: 0.1143	LR: 0.000800
Training Epoch: 38 [29184/47500]	Loss: 0.1387	LR: 0.000800
Training Epoch: 38 [29440/47500]	Loss: 0.0968	LR: 0.000800
Training Epoch: 38 [29696/47500]	Loss: 0.1141	LR: 0.000800
Training Epoch: 38 [29952/47500]	Loss: 0.0890	LR: 0.000800
Training Epoch: 38 [30208/47500]	Loss: 0.0760	LR: 0.000800
Training Epoch: 38 [30464/47500]	Loss: 0.1138	LR: 0.000800
Training Epoch: 38 [30720/47500]	Loss: 0.0926	LR: 0.000800
Training Epoch: 38 [30976/47500]	Loss: 0.1037	LR: 0.000800
Training Epoch: 38 [31232/47500]	Loss: 0.1541	LR: 0.000800
Training Epoch: 38 [31488/47500]	Loss: 0.1123	LR: 0.000800
Training Epoch: 38 [31744/47500]	Loss: 0.1239	LR: 0.000800
Training Epoch: 38 [32000/47500]	Loss: 0.1121	LR: 0.000800
Training Epoch: 38 [32256/47500]	Loss: 0.1151	LR: 0.000800
Training Epoch: 38 [32512/47500]	Loss: 0.0873	LR: 0.000800
Training Epoch: 38 [32768/47500]	Loss: 0.1168	LR: 0.000800
Training Epoch: 38 [33024/47500]	Loss: 0.1368	LR: 0.000800
Training Epoch: 38 [33280/47500]	Loss: 0.1135	LR: 0.000800
Training Epoch: 38 [33536/47500]	Loss: 0.0966	LR: 0.000800
Training Epoch: 38 [33792/47500]	Loss: 0.0862	LR: 0.000800
Training Epoch: 38 [34048/47500]	Loss: 0.1055	LR: 0.000800
Training Epoch: 38 [34304/47500]	Loss: 0.1078	LR: 0.000800
Training Epoch: 38 [34560/47500]	Loss: 0.0946	LR: 0.000800
Training Epoch: 38 [34816/47500]	Loss: 0.0951	LR: 0.000800
Training Epoch: 38 [35072/47500]	Loss: 0.1197	LR: 0.000800
Training Epoch: 38 [35328/47500]	Loss: 0.1712	LR: 0.000800
Training Epoch: 38 [35584/47500]	Loss: 0.0888	LR: 0.000800
Training Epoch: 38 [35840/47500]	Loss: 0.0891	LR: 0.000800
Training Epoch: 38 [36096/47500]	Loss: 0.0874	LR: 0.000800
Training Epoch: 38 [36352/47500]	Loss: 0.1315	LR: 0.000800
Training Epoch: 38 [36608/47500]	Loss: 0.1203	LR: 0.000800
Training Epoch: 38 [36864/47500]	Loss: 0.1010	LR: 0.000800
Training Epoch: 38 [37120/47500]	Loss: 0.1075	LR: 0.000800
Training Epoch: 38 [37376/47500]	Loss: 0.1163	LR: 0.000800
Training Epoch: 38 [37632/47500]	Loss: 0.1183	LR: 0.000800
Training Epoch: 38 [37888/47500]	Loss: 0.1175	LR: 0.000800
Training Epoch: 38 [38144/47500]	Loss: 0.1154	LR: 0.000800
Training Epoch: 38 [38400/47500]	Loss: 0.0988	LR: 0.000800
Training Epoch: 38 [38656/47500]	Loss: 0.1295	LR: 0.000800
Training Epoch: 38 [38912/47500]	Loss: 0.0935	LR: 0.000800
Training Epoch: 38 [39168/47500]	Loss: 0.0885	LR: 0.000800
Training Epoch: 38 [39424/47500]	Loss: 0.0961	LR: 0.000800
Training Epoch: 38 [39680/47500]	Loss: 0.0983	LR: 0.000800
Training Epoch: 38 [39936/47500]	Loss: 0.0667	LR: 0.000800
Training Epoch: 38 [40192/47500]	Loss: 0.1015	LR: 0.000800
Training Epoch: 38 [40448/47500]	Loss: 0.1395	LR: 0.000800
Training Epoch: 38 [40704/47500]	Loss: 0.0914	LR: 0.000800
Training Epoch: 38 [40960/47500]	Loss: 0.1200	LR: 0.000800
Training Epoch: 38 [41216/47500]	Loss: 0.0883	LR: 0.000800
Training Epoch: 38 [41472/47500]	Loss: 0.0785	LR: 0.000800
Training Epoch: 38 [41728/47500]	Loss: 0.1473	LR: 0.000800
Training Epoch: 38 [41984/47500]	Loss: 0.1073	LR: 0.000800
Training Epoch: 38 [42240/47500]	Loss: 0.1178	LR: 0.000800
Training Epoch: 38 [42496/47500]	Loss: 0.0957	LR: 0.000800
Training Epoch: 38 [42752/47500]	Loss: 0.1024	LR: 0.000800
Training Epoch: 38 [43008/47500]	Loss: 0.1112	LR: 0.000800
Training Epoch: 38 [43264/47500]	Loss: 0.0785	LR: 0.000800
Training Epoch: 38 [43520/47500]	Loss: 0.1320	LR: 0.000800
Training Epoch: 38 [43776/47500]	Loss: 0.1362	LR: 0.000800
Training Epoch: 38 [44032/47500]	Loss: 0.0808	LR: 0.000800
Training Epoch: 38 [44288/47500]	Loss: 0.0987	LR: 0.000800
Training Epoch: 38 [44544/47500]	Loss: 0.0718	LR: 0.000800
Training Epoch: 38 [44800/47500]	Loss: 0.0949	LR: 0.000800
Training Epoch: 38 [45056/47500]	Loss: 0.0946	LR: 0.000800
Training Epoch: 38 [45312/47500]	Loss: 0.1340	LR: 0.000800
Training Epoch: 38 [45568/47500]	Loss: 0.1225	LR: 0.000800
Training Epoch: 38 [45824/47500]	Loss: 0.1029	LR: 0.000800
Training Epoch: 38 [46080/47500]	Loss: 0.1209	LR: 0.000800
Training Epoch: 38 [46336/47500]	Loss: 0.1289	LR: 0.000800
Training Epoch: 38 [46592/47500]	Loss: 0.1302	LR: 0.000800
Training Epoch: 38 [46848/47500]	Loss: 0.1135	LR: 0.000800
Training Epoch: 38 [47104/47500]	Loss: 0.0923	LR: 0.000800
Training Epoch: 38 [47360/47500]	Loss: 0.0975	LR: 0.000800
Training Epoch: 38 [47500/47500]	Loss: 0.0723	LR: 0.000800
Epoch 38 - Average Train Loss: 0.1097, Train Accuracy: 0.9685
Epoch 38 training time consumed: 28.31s
Evaluating Network.....
Test set: Epoch: 38, Average loss: 0.0028, Accuracy: 0.8074, Time consumed:0.89s
Training Epoch: 39 [256/47500]	Loss: 0.1094	LR: 0.000800
Training Epoch: 39 [512/47500]	Loss: 0.1187	LR: 0.000800
Training Epoch: 39 [768/47500]	Loss: 0.1134	LR: 0.000800
Training Epoch: 39 [1024/47500]	Loss: 0.0946	LR: 0.000800
Training Epoch: 39 [1280/47500]	Loss: 0.1332	LR: 0.000800
Training Epoch: 39 [1536/47500]	Loss: 0.1062	LR: 0.000800
Training Epoch: 39 [1792/47500]	Loss: 0.1026	LR: 0.000800
Training Epoch: 39 [2048/47500]	Loss: 0.0526	LR: 0.000800
Training Epoch: 39 [2304/47500]	Loss: 0.1067	LR: 0.000800
Training Epoch: 39 [2560/47500]	Loss: 0.1429	LR: 0.000800
Training Epoch: 39 [2816/47500]	Loss: 0.0794	LR: 0.000800
Training Epoch: 39 [3072/47500]	Loss: 0.1175	LR: 0.000800
Training Epoch: 39 [3328/47500]	Loss: 0.0886	LR: 0.000800
Training Epoch: 39 [3584/47500]	Loss: 0.1212	LR: 0.000800
Training Epoch: 39 [3840/47500]	Loss: 0.1043	LR: 0.000800
Training Epoch: 39 [4096/47500]	Loss: 0.1452	LR: 0.000800
Training Epoch: 39 [4352/47500]	Loss: 0.1039	LR: 0.000800
Training Epoch: 39 [4608/47500]	Loss: 0.0913	LR: 0.000800
Training Epoch: 39 [4864/47500]	Loss: 0.0908	LR: 0.000800
Training Epoch: 39 [5120/47500]	Loss: 0.1527	LR: 0.000800
Training Epoch: 39 [5376/47500]	Loss: 0.1201	LR: 0.000800
Training Epoch: 39 [5632/47500]	Loss: 0.1181	LR: 0.000800
Training Epoch: 39 [5888/47500]	Loss: 0.1016	LR: 0.000800
Training Epoch: 39 [6144/47500]	Loss: 0.0936	LR: 0.000800
Training Epoch: 39 [6400/47500]	Loss: 0.1188	LR: 0.000800
Training Epoch: 39 [6656/47500]	Loss: 0.1542	LR: 0.000800
Training Epoch: 39 [6912/47500]	Loss: 0.0814	LR: 0.000800
Training Epoch: 39 [7168/47500]	Loss: 0.1227	LR: 0.000800
Training Epoch: 39 [7424/47500]	Loss: 0.1018	LR: 0.000800
Training Epoch: 39 [7680/47500]	Loss: 0.0804	LR: 0.000800
Training Epoch: 39 [7936/47500]	Loss: 0.1202	LR: 0.000800
Training Epoch: 39 [8192/47500]	Loss: 0.0805	LR: 0.000800
Training Epoch: 39 [8448/47500]	Loss: 0.1076	LR: 0.000800
Training Epoch: 39 [8704/47500]	Loss: 0.0877	LR: 0.000800
Training Epoch: 39 [8960/47500]	Loss: 0.0801	LR: 0.000800
Training Epoch: 39 [9216/47500]	Loss: 0.1707	LR: 0.000800
Training Epoch: 39 [9472/47500]	Loss: 0.0747	LR: 0.000800
Training Epoch: 39 [9728/47500]	Loss: 0.1174	LR: 0.000800
Training Epoch: 39 [9984/47500]	Loss: 0.1177	LR: 0.000800
Training Epoch: 39 [10240/47500]	Loss: 0.1283	LR: 0.000800
Training Epoch: 39 [10496/47500]	Loss: 0.1404	LR: 0.000800
Training Epoch: 39 [10752/47500]	Loss: 0.0870	LR: 0.000800
Training Epoch: 39 [11008/47500]	Loss: 0.1189	LR: 0.000800
Training Epoch: 39 [11264/47500]	Loss: 0.1513	LR: 0.000800
Training Epoch: 39 [11520/47500]	Loss: 0.1338	LR: 0.000800
Training Epoch: 39 [11776/47500]	Loss: 0.1050	LR: 0.000800
Training Epoch: 39 [12032/47500]	Loss: 0.0908	LR: 0.000800
Training Epoch: 39 [12288/47500]	Loss: 0.1123	LR: 0.000800
Training Epoch: 39 [12544/47500]	Loss: 0.1211	LR: 0.000800
Training Epoch: 39 [12800/47500]	Loss: 0.1086	LR: 0.000800
Training Epoch: 39 [13056/47500]	Loss: 0.1220	LR: 0.000800
Training Epoch: 39 [13312/47500]	Loss: 0.0812	LR: 0.000800
Training Epoch: 39 [13568/47500]	Loss: 0.0892	LR: 0.000800
Training Epoch: 39 [13824/47500]	Loss: 0.0851	LR: 0.000800
Training Epoch: 39 [14080/47500]	Loss: 0.1236	LR: 0.000800
Training Epoch: 39 [14336/47500]	Loss: 0.1061	LR: 0.000800
Training Epoch: 39 [14592/47500]	Loss: 0.1773	LR: 0.000800
Training Epoch: 39 [14848/47500]	Loss: 0.0711	LR: 0.000800
Training Epoch: 39 [15104/47500]	Loss: 0.0976	LR: 0.000800
Training Epoch: 39 [15360/47500]	Loss: 0.0933	LR: 0.000800
Training Epoch: 39 [15616/47500]	Loss: 0.1349	LR: 0.000800
Training Epoch: 39 [15872/47500]	Loss: 0.1151	LR: 0.000800
Training Epoch: 39 [16128/47500]	Loss: 0.0919	LR: 0.000800
Training Epoch: 39 [16384/47500]	Loss: 0.1121	LR: 0.000800
Training Epoch: 39 [16640/47500]	Loss: 0.1307	LR: 0.000800
Training Epoch: 39 [16896/47500]	Loss: 0.1070	LR: 0.000800
Training Epoch: 39 [17152/47500]	Loss: 0.1046	LR: 0.000800
Training Epoch: 39 [17408/47500]	Loss: 0.1288	LR: 0.000800
Training Epoch: 39 [17664/47500]	Loss: 0.1240	LR: 0.000800
Training Epoch: 39 [17920/47500]	Loss: 0.1235	LR: 0.000800
Training Epoch: 39 [18176/47500]	Loss: 0.1351	LR: 0.000800
Training Epoch: 39 [18432/47500]	Loss: 0.1491	LR: 0.000800
Training Epoch: 39 [18688/47500]	Loss: 0.0794	LR: 0.000800
Training Epoch: 39 [18944/47500]	Loss: 0.1002	LR: 0.000800
Training Epoch: 39 [19200/47500]	Loss: 0.1355	LR: 0.000800
Training Epoch: 39 [19456/47500]	Loss: 0.0672	LR: 0.000800
Training Epoch: 39 [19712/47500]	Loss: 0.0772	LR: 0.000800
Training Epoch: 39 [19968/47500]	Loss: 0.0590	LR: 0.000800
Training Epoch: 39 [20224/47500]	Loss: 0.1217	LR: 0.000800
Training Epoch: 39 [20480/47500]	Loss: 0.0879	LR: 0.000800
Training Epoch: 39 [20736/47500]	Loss: 0.0946	LR: 0.000800
Training Epoch: 39 [20992/47500]	Loss: 0.1066	LR: 0.000800
Training Epoch: 39 [21248/47500]	Loss: 0.0811	LR: 0.000800
Training Epoch: 39 [21504/47500]	Loss: 0.1257	LR: 0.000800
Training Epoch: 39 [21760/47500]	Loss: 0.1094	LR: 0.000800
Training Epoch: 39 [22016/47500]	Loss: 0.1134	LR: 0.000800
Training Epoch: 39 [22272/47500]	Loss: 0.1092	LR: 0.000800
Training Epoch: 39 [22528/47500]	Loss: 0.1459	LR: 0.000800
Training Epoch: 39 [22784/47500]	Loss: 0.1268	LR: 0.000800
Training Epoch: 39 [23040/47500]	Loss: 0.0791	LR: 0.000800
Training Epoch: 39 [23296/47500]	Loss: 0.1354	LR: 0.000800
Training Epoch: 39 [23552/47500]	Loss: 0.1078	LR: 0.000800
Training Epoch: 39 [23808/47500]	Loss: 0.0760	LR: 0.000800
Training Epoch: 39 [24064/47500]	Loss: 0.1016	LR: 0.000800
Training Epoch: 39 [24320/47500]	Loss: 0.1717	LR: 0.000800
Training Epoch: 39 [24576/47500]	Loss: 0.1203	LR: 0.000800
Training Epoch: 39 [24832/47500]	Loss: 0.0837	LR: 0.000800
Training Epoch: 39 [25088/47500]	Loss: 0.0945	LR: 0.000800
Training Epoch: 39 [25344/47500]	Loss: 0.1215	LR: 0.000800
Training Epoch: 39 [25600/47500]	Loss: 0.1293	LR: 0.000800
Training Epoch: 39 [25856/47500]	Loss: 0.1198	LR: 0.000800
Training Epoch: 39 [26112/47500]	Loss: 0.0751	LR: 0.000800
Training Epoch: 39 [26368/47500]	Loss: 0.1284	LR: 0.000800
Training Epoch: 39 [26624/47500]	Loss: 0.1232	LR: 0.000800
Training Epoch: 39 [26880/47500]	Loss: 0.1283	LR: 0.000800
Training Epoch: 39 [27136/47500]	Loss: 0.0946	LR: 0.000800
Training Epoch: 39 [27392/47500]	Loss: 0.0667	LR: 0.000800
Training Epoch: 39 [27648/47500]	Loss: 0.1297	LR: 0.000800
Training Epoch: 39 [27904/47500]	Loss: 0.1316	LR: 0.000800
Training Epoch: 39 [28160/47500]	Loss: 0.0603	LR: 0.000800
Training Epoch: 39 [28416/47500]	Loss: 0.0830	LR: 0.000800
Training Epoch: 39 [28672/47500]	Loss: 0.1021	LR: 0.000800
Training Epoch: 39 [28928/47500]	Loss: 0.1437	LR: 0.000800
Training Epoch: 39 [29184/47500]	Loss: 0.1146	LR: 0.000800
Training Epoch: 39 [29440/47500]	Loss: 0.1029	LR: 0.000800
Training Epoch: 39 [29696/47500]	Loss: 0.0679	LR: 0.000800
Training Epoch: 39 [29952/47500]	Loss: 0.0916	LR: 0.000800
Training Epoch: 39 [30208/47500]	Loss: 0.1262	LR: 0.000800
Training Epoch: 39 [30464/47500]	Loss: 0.1156	LR: 0.000800
Training Epoch: 39 [30720/47500]	Loss: 0.1182	LR: 0.000800
Training Epoch: 39 [30976/47500]	Loss: 0.0991	LR: 0.000800
Training Epoch: 39 [31232/47500]	Loss: 0.1255	LR: 0.000800
Training Epoch: 39 [31488/47500]	Loss: 0.0923	LR: 0.000800
Training Epoch: 39 [31744/47500]	Loss: 0.1164	LR: 0.000800
Training Epoch: 39 [32000/47500]	Loss: 0.1101	LR: 0.000800
Training Epoch: 39 [32256/47500]	Loss: 0.0860	LR: 0.000800
Training Epoch: 39 [32512/47500]	Loss: 0.1283	LR: 0.000800
Training Epoch: 39 [32768/47500]	Loss: 0.0819	LR: 0.000800
Training Epoch: 39 [33024/47500]	Loss: 0.0932	LR: 0.000800
Training Epoch: 39 [33280/47500]	Loss: 0.0879	LR: 0.000800
Training Epoch: 39 [33536/47500]	Loss: 0.0703	LR: 0.000800
Training Epoch: 39 [33792/47500]	Loss: 0.1201	LR: 0.000800
Training Epoch: 39 [34048/47500]	Loss: 0.1335	LR: 0.000800
Training Epoch: 39 [34304/47500]	Loss: 0.0859	LR: 0.000800
Training Epoch: 39 [34560/47500]	Loss: 0.0944	LR: 0.000800
Training Epoch: 39 [34816/47500]	Loss: 0.1018	LR: 0.000800
Training Epoch: 39 [35072/47500]	Loss: 0.0897	LR: 0.000800
Training Epoch: 39 [35328/47500]	Loss: 0.0865	LR: 0.000800
Training Epoch: 39 [35584/47500]	Loss: 0.1093	LR: 0.000800
Training Epoch: 39 [35840/47500]	Loss: 0.0801	LR: 0.000800
Training Epoch: 39 [36096/47500]	Loss: 0.1237	LR: 0.000800
Training Epoch: 39 [36352/47500]	Loss: 0.0951	LR: 0.000800
Training Epoch: 39 [36608/47500]	Loss: 0.0881	LR: 0.000800
Training Epoch: 39 [36864/47500]	Loss: 0.1134	LR: 0.000800
Training Epoch: 39 [37120/47500]	Loss: 0.0974	LR: 0.000800
Training Epoch: 39 [37376/47500]	Loss: 0.1200	LR: 0.000800
Training Epoch: 39 [37632/47500]	Loss: 0.0980	LR: 0.000800
Training Epoch: 39 [37888/47500]	Loss: 0.1126	LR: 0.000800
Training Epoch: 39 [38144/47500]	Loss: 0.1247	LR: 0.000800
Training Epoch: 39 [38400/47500]	Loss: 0.1361	LR: 0.000800
Training Epoch: 39 [38656/47500]	Loss: 0.1043	LR: 0.000800
Training Epoch: 39 [38912/47500]	Loss: 0.1368	LR: 0.000800
Training Epoch: 39 [39168/47500]	Loss: 0.1311	LR: 0.000800
Training Epoch: 39 [39424/47500]	Loss: 0.1700	LR: 0.000800
Training Epoch: 39 [39680/47500]	Loss: 0.0949	LR: 0.000800
Training Epoch: 39 [39936/47500]	Loss: 0.1188	LR: 0.000800
Training Epoch: 39 [40192/47500]	Loss: 0.1126	LR: 0.000800
Training Epoch: 39 [40448/47500]	Loss: 0.1124	LR: 0.000800
Training Epoch: 39 [40704/47500]	Loss: 0.1394	LR: 0.000800
Training Epoch: 39 [40960/47500]	Loss: 0.1130	LR: 0.000800
Training Epoch: 39 [41216/47500]	Loss: 0.1291	LR: 0.000800
Training Epoch: 39 [41472/47500]	Loss: 0.1005	LR: 0.000800
Training Epoch: 39 [41728/47500]	Loss: 0.1397	LR: 0.000800
Training Epoch: 39 [41984/47500]	Loss: 0.1005	LR: 0.000800
Training Epoch: 39 [42240/47500]	Loss: 0.0915	LR: 0.000800
Training Epoch: 39 [42496/47500]	Loss: 0.1487	LR: 0.000800
Training Epoch: 39 [42752/47500]	Loss: 0.1191	LR: 0.000800
Training Epoch: 39 [43008/47500]	Loss: 0.1395	LR: 0.000800
Training Epoch: 39 [43264/47500]	Loss: 0.1044	LR: 0.000800
Training Epoch: 39 [43520/47500]	Loss: 0.1170	LR: 0.000800
Training Epoch: 39 [43776/47500]	Loss: 0.1401	LR: 0.000800
Training Epoch: 39 [44032/47500]	Loss: 0.1217	LR: 0.000800
Training Epoch: 39 [44288/47500]	Loss: 0.0905	LR: 0.000800
Training Epoch: 39 [44544/47500]	Loss: 0.1245	LR: 0.000800
Training Epoch: 39 [44800/47500]	Loss: 0.1120	LR: 0.000800
Training Epoch: 39 [45056/47500]	Loss: 0.1015	LR: 0.000800
Training Epoch: 39 [45312/47500]	Loss: 0.0848	LR: 0.000800
Training Epoch: 39 [45568/47500]	Loss: 0.1309	LR: 0.000800
Training Epoch: 39 [45824/47500]	Loss: 0.1083	LR: 0.000800
Training Epoch: 39 [46080/47500]	Loss: 0.1131	LR: 0.000800
Training Epoch: 39 [46336/47500]	Loss: 0.1123	LR: 0.000800
Training Epoch: 39 [46592/47500]	Loss: 0.1480	LR: 0.000800
Training Epoch: 39 [46848/47500]	Loss: 0.1041	LR: 0.000800
Training Epoch: 39 [47104/47500]	Loss: 0.0991	LR: 0.000800
Training Epoch: 39 [47360/47500]	Loss: 0.1260	LR: 0.000800
Training Epoch: 39 [47500/47500]	Loss: 0.1696	LR: 0.000800
Epoch 39 - Average Train Loss: 0.1102, Train Accuracy: 0.9689
Epoch 39 training time consumed: 28.32s
Evaluating Network.....
Test set: Epoch: 39, Average loss: 0.0028, Accuracy: 0.8064, Time consumed:0.87s
Training Epoch: 40 [256/47500]	Loss: 0.1046	LR: 0.000800
Training Epoch: 40 [512/47500]	Loss: 0.0803	LR: 0.000800
Training Epoch: 40 [768/47500]	Loss: 0.1123	LR: 0.000800
Training Epoch: 40 [1024/47500]	Loss: 0.1295	LR: 0.000800
Training Epoch: 40 [1280/47500]	Loss: 0.0772	LR: 0.000800
Training Epoch: 40 [1536/47500]	Loss: 0.1201	LR: 0.000800
Training Epoch: 40 [1792/47500]	Loss: 0.1434	LR: 0.000800
Training Epoch: 40 [2048/47500]	Loss: 0.0921	LR: 0.000800
Training Epoch: 40 [2304/47500]	Loss: 0.1062	LR: 0.000800
Training Epoch: 40 [2560/47500]	Loss: 0.1525	LR: 0.000800
Training Epoch: 40 [2816/47500]	Loss: 0.1223	LR: 0.000800
Training Epoch: 40 [3072/47500]	Loss: 0.0912	LR: 0.000800
Training Epoch: 40 [3328/47500]	Loss: 0.0680	LR: 0.000800
Training Epoch: 40 [3584/47500]	Loss: 0.1298	LR: 0.000800
Training Epoch: 40 [3840/47500]	Loss: 0.1490	LR: 0.000800
Training Epoch: 40 [4096/47500]	Loss: 0.1109	LR: 0.000800
Training Epoch: 40 [4352/47500]	Loss: 0.0706	LR: 0.000800
Training Epoch: 40 [4608/47500]	Loss: 0.0675	LR: 0.000800
Training Epoch: 40 [4864/47500]	Loss: 0.1491	LR: 0.000800
Training Epoch: 40 [5120/47500]	Loss: 0.1217	LR: 0.000800
Training Epoch: 40 [5376/47500]	Loss: 0.1115	LR: 0.000800
Training Epoch: 40 [5632/47500]	Loss: 0.0781	LR: 0.000800
Training Epoch: 40 [5888/47500]	Loss: 0.1520	LR: 0.000800
Training Epoch: 40 [6144/47500]	Loss: 0.0934	LR: 0.000800
Training Epoch: 40 [6400/47500]	Loss: 0.1281	LR: 0.000800
Training Epoch: 40 [6656/47500]	Loss: 0.1291	LR: 0.000800
Training Epoch: 40 [6912/47500]	Loss: 0.1225	LR: 0.000800
Training Epoch: 40 [7168/47500]	Loss: 0.0862	LR: 0.000800
Training Epoch: 40 [7424/47500]	Loss: 0.1051	LR: 0.000800
Training Epoch: 40 [7680/47500]	Loss: 0.0673	LR: 0.000800
Training Epoch: 40 [7936/47500]	Loss: 0.1293	LR: 0.000800
Training Epoch: 40 [8192/47500]	Loss: 0.1069	LR: 0.000800
Training Epoch: 40 [8448/47500]	Loss: 0.1057	LR: 0.000800
Training Epoch: 40 [8704/47500]	Loss: 0.1045	LR: 0.000800
Training Epoch: 40 [8960/47500]	Loss: 0.0967	LR: 0.000800
Training Epoch: 40 [9216/47500]	Loss: 0.1060	LR: 0.000800
Training Epoch: 40 [9472/47500]	Loss: 0.1158	LR: 0.000800
Training Epoch: 40 [9728/47500]	Loss: 0.0993	LR: 0.000800
Training Epoch: 40 [9984/47500]	Loss: 0.1403	LR: 0.000800
Training Epoch: 40 [10240/47500]	Loss: 0.0875	LR: 0.000800
Training Epoch: 40 [10496/47500]	Loss: 0.0956	LR: 0.000800
Training Epoch: 40 [10752/47500]	Loss: 0.0916	LR: 0.000800
Training Epoch: 40 [11008/47500]	Loss: 0.1030	LR: 0.000800
Training Epoch: 40 [11264/47500]	Loss: 0.1014	LR: 0.000800
Training Epoch: 40 [11520/47500]	Loss: 0.0999	LR: 0.000800
Training Epoch: 40 [11776/47500]	Loss: 0.1071	LR: 0.000800
Training Epoch: 40 [12032/47500]	Loss: 0.1255	LR: 0.000800
Training Epoch: 40 [12288/47500]	Loss: 0.1293	LR: 0.000800
Training Epoch: 40 [12544/47500]	Loss: 0.0952	LR: 0.000800
Training Epoch: 40 [12800/47500]	Loss: 0.1200	LR: 0.000800
Training Epoch: 40 [13056/47500]	Loss: 0.0903	LR: 0.000800
Training Epoch: 40 [13312/47500]	Loss: 0.1016	LR: 0.000800
Training Epoch: 40 [13568/47500]	Loss: 0.1205	LR: 0.000800
Training Epoch: 40 [13824/47500]	Loss: 0.1307	LR: 0.000800
Training Epoch: 40 [14080/47500]	Loss: 0.1083	LR: 0.000800
Training Epoch: 40 [14336/47500]	Loss: 0.0830	LR: 0.000800
Training Epoch: 40 [14592/47500]	Loss: 0.1301	LR: 0.000800
Training Epoch: 40 [14848/47500]	Loss: 0.1391	LR: 0.000800
Training Epoch: 40 [15104/47500]	Loss: 0.0911	LR: 0.000800
Training Epoch: 40 [15360/47500]	Loss: 0.0946	LR: 0.000800
Training Epoch: 40 [15616/47500]	Loss: 0.1272	LR: 0.000800
Training Epoch: 40 [15872/47500]	Loss: 0.1079	LR: 0.000800
Training Epoch: 40 [16128/47500]	Loss: 0.0813	LR: 0.000800
Training Epoch: 40 [16384/47500]	Loss: 0.1305	LR: 0.000800
Training Epoch: 40 [16640/47500]	Loss: 0.1108	LR: 0.000800
Training Epoch: 40 [16896/47500]	Loss: 0.1005	LR: 0.000800
Training Epoch: 40 [17152/47500]	Loss: 0.0682	LR: 0.000800
Training Epoch: 40 [17408/47500]	Loss: 0.1254	LR: 0.000800
Training Epoch: 40 [17664/47500]	Loss: 0.1131	LR: 0.000800
Training Epoch: 40 [17920/47500]	Loss: 0.1532	LR: 0.000800
Training Epoch: 40 [18176/47500]	Loss: 0.1000	LR: 0.000800
Training Epoch: 40 [18432/47500]	Loss: 0.1227	LR: 0.000800
Training Epoch: 40 [18688/47500]	Loss: 0.0739	LR: 0.000800
Training Epoch: 40 [18944/47500]	Loss: 0.1324	LR: 0.000800
Training Epoch: 40 [19200/47500]	Loss: 0.1161	LR: 0.000800
Training Epoch: 40 [19456/47500]	Loss: 0.0837	LR: 0.000800
Training Epoch: 40 [19712/47500]	Loss: 0.1769	LR: 0.000800
Training Epoch: 40 [19968/47500]	Loss: 0.0829	LR: 0.000800
Training Epoch: 40 [20224/47500]	Loss: 0.1098	LR: 0.000800
Training Epoch: 40 [20480/47500]	Loss: 0.1064	LR: 0.000800
Training Epoch: 40 [20736/47500]	Loss: 0.1408	LR: 0.000800
Training Epoch: 40 [20992/47500]	Loss: 0.1142	LR: 0.000800
Training Epoch: 40 [21248/47500]	Loss: 0.1226	LR: 0.000800
Training Epoch: 40 [21504/47500]	Loss: 0.0953	LR: 0.000800
Training Epoch: 40 [21760/47500]	Loss: 0.0893	LR: 0.000800
Training Epoch: 40 [22016/47500]	Loss: 0.0872	LR: 0.000800
Training Epoch: 40 [22272/47500]	Loss: 0.1165	LR: 0.000800
Training Epoch: 40 [22528/47500]	Loss: 0.1464	LR: 0.000800
Training Epoch: 40 [22784/47500]	Loss: 0.1208	LR: 0.000800
Training Epoch: 40 [23040/47500]	Loss: 0.1229	LR: 0.000800
Training Epoch: 40 [23296/47500]	Loss: 0.1133	LR: 0.000800
Training Epoch: 40 [23552/47500]	Loss: 0.1009	LR: 0.000800
Training Epoch: 40 [23808/47500]	Loss: 0.0942	LR: 0.000800
Training Epoch: 40 [24064/47500]	Loss: 0.0987	LR: 0.000800
Training Epoch: 40 [24320/47500]	Loss: 0.1027	LR: 0.000800
Training Epoch: 40 [24576/47500]	Loss: 0.1111	LR: 0.000800
Training Epoch: 40 [24832/47500]	Loss: 0.0885	LR: 0.000800
Training Epoch: 40 [25088/47500]	Loss: 0.1564	LR: 0.000800
Training Epoch: 40 [25344/47500]	Loss: 0.0920	LR: 0.000800
Training Epoch: 40 [25600/47500]	Loss: 0.1248	LR: 0.000800
Training Epoch: 40 [25856/47500]	Loss: 0.0846	LR: 0.000800
Training Epoch: 40 [26112/47500]	Loss: 0.0728	LR: 0.000800
Training Epoch: 40 [26368/47500]	Loss: 0.0814	LR: 0.000800
Training Epoch: 40 [26624/47500]	Loss: 0.0989	LR: 0.000800
Training Epoch: 40 [26880/47500]	Loss: 0.1183	LR: 0.000800
Training Epoch: 40 [27136/47500]	Loss: 0.1219	LR: 0.000800
Training Epoch: 40 [27392/47500]	Loss: 0.0925	LR: 0.000800
Training Epoch: 40 [27648/47500]	Loss: 0.0995	LR: 0.000800
Training Epoch: 40 [27904/47500]	Loss: 0.1324	LR: 0.000800
Training Epoch: 40 [28160/47500]	Loss: 0.1175	LR: 0.000800
Training Epoch: 40 [28416/47500]	Loss: 0.0848	LR: 0.000800
Training Epoch: 40 [28672/47500]	Loss: 0.0965	LR: 0.000800
Training Epoch: 40 [28928/47500]	Loss: 0.0928	LR: 0.000800
Training Epoch: 40 [29184/47500]	Loss: 0.0956	LR: 0.000800
Training Epoch: 40 [29440/47500]	Loss: 0.1321	LR: 0.000800
Training Epoch: 40 [29696/47500]	Loss: 0.0929	LR: 0.000800
Training Epoch: 40 [29952/47500]	Loss: 0.1136	LR: 0.000800
Training Epoch: 40 [30208/47500]	Loss: 0.1152	LR: 0.000800
Training Epoch: 40 [30464/47500]	Loss: 0.1146	LR: 0.000800
Training Epoch: 40 [30720/47500]	Loss: 0.1332	LR: 0.000800
Training Epoch: 40 [30976/47500]	Loss: 0.1508	LR: 0.000800
Training Epoch: 40 [31232/47500]	Loss: 0.1153	LR: 0.000800
Training Epoch: 40 [31488/47500]	Loss: 0.1063	LR: 0.000800
Training Epoch: 40 [31744/47500]	Loss: 0.0929	LR: 0.000800
Training Epoch: 40 [32000/47500]	Loss: 0.0898	LR: 0.000800
Training Epoch: 40 [32256/47500]	Loss: 0.1295	LR: 0.000800
Training Epoch: 40 [32512/47500]	Loss: 0.0881	LR: 0.000800
Training Epoch: 40 [32768/47500]	Loss: 0.0824	LR: 0.000800
Training Epoch: 40 [33024/47500]	Loss: 0.1043	LR: 0.000800
Training Epoch: 40 [33280/47500]	Loss: 0.1158	LR: 0.000800
Training Epoch: 40 [33536/47500]	Loss: 0.1173	LR: 0.000800
Training Epoch: 40 [33792/47500]	Loss: 0.1391	LR: 0.000800
Training Epoch: 40 [34048/47500]	Loss: 0.1066	LR: 0.000800
Training Epoch: 40 [34304/47500]	Loss: 0.1619	LR: 0.000800
Training Epoch: 40 [34560/47500]	Loss: 0.1144	LR: 0.000800
Training Epoch: 40 [34816/47500]	Loss: 0.0911	LR: 0.000800
Training Epoch: 40 [35072/47500]	Loss: 0.1216	LR: 0.000800
Training Epoch: 40 [35328/47500]	Loss: 0.1278	LR: 0.000800
Training Epoch: 40 [35584/47500]	Loss: 0.1109	LR: 0.000800
Training Epoch: 40 [35840/47500]	Loss: 0.0991	LR: 0.000800
Training Epoch: 40 [36096/47500]	Loss: 0.0776	LR: 0.000800
Training Epoch: 40 [36352/47500]	Loss: 0.1214	LR: 0.000800
Training Epoch: 40 [36608/47500]	Loss: 0.1120	LR: 0.000800
Training Epoch: 40 [36864/47500]	Loss: 0.0960	LR: 0.000800
Training Epoch: 40 [37120/47500]	Loss: 0.0885	LR: 0.000800
Training Epoch: 40 [37376/47500]	Loss: 0.0922	LR: 0.000800
Training Epoch: 40 [37632/47500]	Loss: 0.0982	LR: 0.000800
Training Epoch: 40 [37888/47500]	Loss: 0.1137	LR: 0.000800
Training Epoch: 40 [38144/47500]	Loss: 0.1095	LR: 0.000800
Training Epoch: 40 [38400/47500]	Loss: 0.0942	LR: 0.000800
Training Epoch: 40 [38656/47500]	Loss: 0.1174	LR: 0.000800
Training Epoch: 40 [38912/47500]	Loss: 0.1319	LR: 0.000800
Training Epoch: 40 [39168/47500]	Loss: 0.1131	LR: 0.000800
Training Epoch: 40 [39424/47500]	Loss: 0.0896	LR: 0.000800
Training Epoch: 40 [39680/47500]	Loss: 0.1301	LR: 0.000800
Training Epoch: 40 [39936/47500]	Loss: 0.1261	LR: 0.000800
Training Epoch: 40 [40192/47500]	Loss: 0.0893	LR: 0.000800
Training Epoch: 40 [40448/47500]	Loss: 0.1207	LR: 0.000800
Training Epoch: 40 [40704/47500]	Loss: 0.0914	LR: 0.000800
Training Epoch: 40 [40960/47500]	Loss: 0.1050	LR: 0.000800
Training Epoch: 40 [41216/47500]	Loss: 0.0860	LR: 0.000800
Training Epoch: 40 [41472/47500]	Loss: 0.1479	LR: 0.000800
Training Epoch: 40 [41728/47500]	Loss: 0.0763	LR: 0.000800
Training Epoch: 40 [41984/47500]	Loss: 0.0980	LR: 0.000800
Training Epoch: 40 [42240/47500]	Loss: 0.1113	LR: 0.000800
Training Epoch: 40 [42496/47500]	Loss: 0.1172	LR: 0.000800
Training Epoch: 40 [42752/47500]	Loss: 0.1338	LR: 0.000800
Training Epoch: 40 [43008/47500]	Loss: 0.0704	LR: 0.000800
Training Epoch: 40 [43264/47500]	Loss: 0.1070	LR: 0.000800
Training Epoch: 40 [43520/47500]	Loss: 0.1046	LR: 0.000800
Training Epoch: 40 [43776/47500]	Loss: 0.0805	LR: 0.000800
Training Epoch: 40 [44032/47500]	Loss: 0.1045	LR: 0.000800
Training Epoch: 40 [44288/47500]	Loss: 0.0912	LR: 0.000800
Training Epoch: 40 [44544/47500]	Loss: 0.1107	LR: 0.000800
Training Epoch: 40 [44800/47500]	Loss: 0.1223	LR: 0.000800
Training Epoch: 40 [45056/47500]	Loss: 0.0734	LR: 0.000800
Training Epoch: 40 [45312/47500]	Loss: 0.1243	LR: 0.000800
Training Epoch: 40 [45568/47500]	Loss: 0.1299	LR: 0.000800
Training Epoch: 40 [45824/47500]	Loss: 0.1085	LR: 0.000800
Training Epoch: 40 [46080/47500]	Loss: 0.0846	LR: 0.000800
Training Epoch: 40 [46336/47500]	Loss: 0.0906	LR: 0.000800
Training Epoch: 40 [46592/47500]	Loss: 0.0924	LR: 0.000800
Training Epoch: 40 [46848/47500]	Loss: 0.1059	LR: 0.000800
Training Epoch: 40 [47104/47500]	Loss: 0.1421	LR: 0.000800
Training Epoch: 40 [47360/47500]	Loss: 0.0589	LR: 0.000800
Training Epoch: 40 [47500/47500]	Loss: 0.1206	LR: 0.000800
Epoch 40 - Average Train Loss: 0.1083, Train Accuracy: 0.9682
Epoch 40 training time consumed: 28.34s
Evaluating Network.....
Test set: Epoch: 40, Average loss: 0.0028, Accuracy: 0.8091, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_18h_12m_05s/ResNet18-Cifar20-seed2-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: 81.064453125
Retain Accuracy: 97.34513854980469
Zero-Retain Forget (ZRF): 0.902910590171814
Membership Inference Attack (MIA): 0.6116
Forget vs Retain Membership Inference Attack (MIA): 0.565
Forget vs Test Membership Inference Attack (MIA): 0.541
Test vs Retain Membership Inference Attack (MIA): 0.5665
Train vs Test Membership Inference Attack (MIA): 0.60375
Forget Set Accuracy (Df): 80.42570495605469
Method Execution Time: 2108.65 seconds
