
📌 Retain class distribution for seed 5:
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 5:
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: 3.0958	LR: 0.000000
Training Epoch: 1 [512/47500]	Loss: 3.1032	LR: 0.000538
Training Epoch: 1 [768/47500]	Loss: 3.1007	LR: 0.001075
Training Epoch: 1 [1024/47500]	Loss: 3.1291	LR: 0.001613
Training Epoch: 1 [1280/47500]	Loss: 3.0737	LR: 0.002151
Training Epoch: 1 [1536/47500]	Loss: 3.0472	LR: 0.002688
Training Epoch: 1 [1792/47500]	Loss: 2.9624	LR: 0.003226
Training Epoch: 1 [2048/47500]	Loss: 2.9500	LR: 0.003763
Training Epoch: 1 [2304/47500]	Loss: 2.9554	LR: 0.004301
Training Epoch: 1 [2560/47500]	Loss: 2.9422	LR: 0.004839
Training Epoch: 1 [2816/47500]	Loss: 2.9814	LR: 0.005376
Training Epoch: 1 [3072/47500]	Loss: 2.9544	LR: 0.005914
Training Epoch: 1 [3328/47500]	Loss: 2.9219	LR: 0.006452
Training Epoch: 1 [3584/47500]	Loss: 2.9415	LR: 0.006989
Training Epoch: 1 [3840/47500]	Loss: 2.8282	LR: 0.007527
Training Epoch: 1 [4096/47500]	Loss: 2.8118	LR: 0.008065
Training Epoch: 1 [4352/47500]	Loss: 2.8037	LR: 0.008602
Training Epoch: 1 [4608/47500]	Loss: 2.7800	LR: 0.009140
Training Epoch: 1 [4864/47500]	Loss: 2.7343	LR: 0.009677
Training Epoch: 1 [5120/47500]	Loss: 2.8313	LR: 0.010215
Training Epoch: 1 [5376/47500]	Loss: 2.8568	LR: 0.010753
Training Epoch: 1 [5632/47500]	Loss: 2.7760	LR: 0.011290
Training Epoch: 1 [5888/47500]	Loss: 2.6989	LR: 0.011828
Training Epoch: 1 [6144/47500]	Loss: 2.7528	LR: 0.012366
Training Epoch: 1 [6400/47500]	Loss: 2.7313	LR: 0.012903
Training Epoch: 1 [6656/47500]	Loss: 2.6480	LR: 0.013441
Training Epoch: 1 [6912/47500]	Loss: 2.6337	LR: 0.013978
Training Epoch: 1 [7168/47500]	Loss: 2.6524	LR: 0.014516
Training Epoch: 1 [7424/47500]	Loss: 2.7299	LR: 0.015054
Training Epoch: 1 [7680/47500]	Loss: 2.5803	LR: 0.015591
Training Epoch: 1 [7936/47500]	Loss: 2.7217	LR: 0.016129
Training Epoch: 1 [8192/47500]	Loss: 2.6432	LR: 0.016667
Training Epoch: 1 [8448/47500]	Loss: 2.6222	LR: 0.017204
Training Epoch: 1 [8704/47500]	Loss: 2.7381	LR: 0.017742
Training Epoch: 1 [8960/47500]	Loss: 2.5631	LR: 0.018280
Training Epoch: 1 [9216/47500]	Loss: 2.7474	LR: 0.018817
Training Epoch: 1 [9472/47500]	Loss: 2.5490	LR: 0.019355
Training Epoch: 1 [9728/47500]	Loss: 2.7163	LR: 0.019892
Training Epoch: 1 [9984/47500]	Loss: 2.6994	LR: 0.020430
Training Epoch: 1 [10240/47500]	Loss: 2.6123	LR: 0.020968
Training Epoch: 1 [10496/47500]	Loss: 2.6342	LR: 0.021505
Training Epoch: 1 [10752/47500]	Loss: 2.6325	LR: 0.022043
Training Epoch: 1 [11008/47500]	Loss: 2.6521	LR: 0.022581
Training Epoch: 1 [11264/47500]	Loss: 2.7260	LR: 0.023118
Training Epoch: 1 [11520/47500]	Loss: 2.4891	LR: 0.023656
Training Epoch: 1 [11776/47500]	Loss: 2.6995	LR: 0.024194
Training Epoch: 1 [12032/47500]	Loss: 2.6893	LR: 0.024731
Training Epoch: 1 [12288/47500]	Loss: 2.7013	LR: 0.025269
Training Epoch: 1 [12544/47500]	Loss: 2.6441	LR: 0.025806
Training Epoch: 1 [12800/47500]	Loss: 2.5718	LR: 0.026344
Training Epoch: 1 [13056/47500]	Loss: 2.6572	LR: 0.026882
Training Epoch: 1 [13312/47500]	Loss: 2.6143	LR: 0.027419
Training Epoch: 1 [13568/47500]	Loss: 2.7110	LR: 0.027957
Training Epoch: 1 [13824/47500]	Loss: 2.5796	LR: 0.028495
Training Epoch: 1 [14080/47500]	Loss: 2.6881	LR: 0.029032
Training Epoch: 1 [14336/47500]	Loss: 2.6163	LR: 0.029570
Training Epoch: 1 [14592/47500]	Loss: 2.6169	LR: 0.030108
Training Epoch: 1 [14848/47500]	Loss: 2.5678	LR: 0.030645
Training Epoch: 1 [15104/47500]	Loss: 2.6213	LR: 0.031183
Training Epoch: 1 [15360/47500]	Loss: 2.6343	LR: 0.031720
Training Epoch: 1 [15616/47500]	Loss: 2.5780	LR: 0.032258
Training Epoch: 1 [15872/47500]	Loss: 2.4672	LR: 0.032796
Training Epoch: 1 [16128/47500]	Loss: 2.4593	LR: 0.033333
Training Epoch: 1 [16384/47500]	Loss: 2.7217	LR: 0.033871
Training Epoch: 1 [16640/47500]	Loss: 2.6693	LR: 0.034409
Training Epoch: 1 [16896/47500]	Loss: 2.5018	LR: 0.034946
Training Epoch: 1 [17152/47500]	Loss: 2.6649	LR: 0.035484
Training Epoch: 1 [17408/47500]	Loss: 2.4297	LR: 0.036022
Training Epoch: 1 [17664/47500]	Loss: 2.5954	LR: 0.036559
Training Epoch: 1 [17920/47500]	Loss: 2.4570	LR: 0.037097
Training Epoch: 1 [18176/47500]	Loss: 2.7078	LR: 0.037634
Training Epoch: 1 [18432/47500]	Loss: 2.6774	LR: 0.038172
Training Epoch: 1 [18688/47500]	Loss: 2.4919	LR: 0.038710
Training Epoch: 1 [18944/47500]	Loss: 2.6003	LR: 0.039247
Training Epoch: 1 [19200/47500]	Loss: 2.6183	LR: 0.039785
Training Epoch: 1 [19456/47500]	Loss: 2.3886	LR: 0.040323
Training Epoch: 1 [19712/47500]	Loss: 2.5224	LR: 0.040860
Training Epoch: 1 [19968/47500]	Loss: 2.6071	LR: 0.041398
Training Epoch: 1 [20224/47500]	Loss: 2.5980	LR: 0.041935
Training Epoch: 1 [20480/47500]	Loss: 2.6081	LR: 0.042473
Training Epoch: 1 [20736/47500]	Loss: 2.5364	LR: 0.043011
Training Epoch: 1 [20992/47500]	Loss: 2.5880	LR: 0.043548
Training Epoch: 1 [21248/47500]	Loss: 2.6151	LR: 0.044086
Training Epoch: 1 [21504/47500]	Loss: 2.3150	LR: 0.044624
Training Epoch: 1 [21760/47500]	Loss: 2.4423	LR: 0.045161
Training Epoch: 1 [22016/47500]	Loss: 2.5669	LR: 0.045699
Training Epoch: 1 [22272/47500]	Loss: 2.5710	LR: 0.046237
Training Epoch: 1 [22528/47500]	Loss: 2.5209	LR: 0.046774
Training Epoch: 1 [22784/47500]	Loss: 2.7190	LR: 0.047312
Training Epoch: 1 [23040/47500]	Loss: 2.5355	LR: 0.047849
Training Epoch: 1 [23296/47500]	Loss: 2.4429	LR: 0.048387
Training Epoch: 1 [23552/47500]	Loss: 2.5274	LR: 0.048925
Training Epoch: 1 [23808/47500]	Loss: 2.5294	LR: 0.049462
Training Epoch: 1 [24064/47500]	Loss: 2.6423	LR: 0.050000
Training Epoch: 1 [24320/47500]	Loss: 2.4796	LR: 0.050538
Training Epoch: 1 [24576/47500]	Loss: 2.5807	LR: 0.051075
Training Epoch: 1 [24832/47500]	Loss: 2.5129	LR: 0.051613
Training Epoch: 1 [25088/47500]	Loss: 2.5557	LR: 0.052151
Training Epoch: 1 [25344/47500]	Loss: 2.4207	LR: 0.052688
Training Epoch: 1 [25600/47500]	Loss: 2.5942	LR: 0.053226
Training Epoch: 1 [25856/47500]	Loss: 2.6065	LR: 0.053763
Training Epoch: 1 [26112/47500]	Loss: 2.4518	LR: 0.054301
Training Epoch: 1 [26368/47500]	Loss: 2.4428	LR: 0.054839
Training Epoch: 1 [26624/47500]	Loss: 2.5380	LR: 0.055376
Training Epoch: 1 [26880/47500]	Loss: 2.5273	LR: 0.055914
Training Epoch: 1 [27136/47500]	Loss: 2.5199	LR: 0.056452
Training Epoch: 1 [27392/47500]	Loss: 2.4492	LR: 0.056989
Training Epoch: 1 [27648/47500]	Loss: 2.5303	LR: 0.057527
Training Epoch: 1 [27904/47500]	Loss: 2.4743	LR: 0.058065
Training Epoch: 1 [28160/47500]	Loss: 2.2790	LR: 0.058602
Training Epoch: 1 [28416/47500]	Loss: 2.4293	LR: 0.059140
Training Epoch: 1 [28672/47500]	Loss: 2.4614	LR: 0.059677
Training Epoch: 1 [28928/47500]	Loss: 2.3520	LR: 0.060215
Training Epoch: 1 [29184/47500]	Loss: 2.4384	LR: 0.060753
Training Epoch: 1 [29440/47500]	Loss: 2.3685	LR: 0.061290
Training Epoch: 1 [29696/47500]	Loss: 2.2813	LR: 0.061828
Training Epoch: 1 [29952/47500]	Loss: 2.5062	LR: 0.062366
Training Epoch: 1 [30208/47500]	Loss: 2.5401	LR: 0.062903
Training Epoch: 1 [30464/47500]	Loss: 2.4373	LR: 0.063441
Training Epoch: 1 [30720/47500]	Loss: 2.4969	LR: 0.063978
Training Epoch: 1 [30976/47500]	Loss: 2.6000	LR: 0.064516
Training Epoch: 1 [31232/47500]	Loss: 2.3945	LR: 0.065054
Training Epoch: 1 [31488/47500]	Loss: 2.5187	LR: 0.065591
Training Epoch: 1 [31744/47500]	Loss: 2.6022	LR: 0.066129
Training Epoch: 1 [32000/47500]	Loss: 2.3927	LR: 0.066667
Training Epoch: 1 [32256/47500]	Loss: 2.4845	LR: 0.067204
Training Epoch: 1 [32512/47500]	Loss: 2.5774	LR: 0.067742
Training Epoch: 1 [32768/47500]	Loss: 2.3570	LR: 0.068280
Training Epoch: 1 [33024/47500]	Loss: 2.4500	LR: 0.068817
Training Epoch: 1 [33280/47500]	Loss: 2.5205	LR: 0.069355
Training Epoch: 1 [33536/47500]	Loss: 2.4703	LR: 0.069892
Training Epoch: 1 [33792/47500]	Loss: 2.3814	LR: 0.070430
Training Epoch: 1 [34048/47500]	Loss: 2.3275	LR: 0.070968
Training Epoch: 1 [34304/47500]	Loss: 2.5073	LR: 0.071505
Training Epoch: 1 [34560/47500]	Loss: 2.3900	LR: 0.072043
Training Epoch: 1 [34816/47500]	Loss: 2.3133	LR: 0.072581
Training Epoch: 1 [35072/47500]	Loss: 2.3877	LR: 0.073118
Training Epoch: 1 [35328/47500]	Loss: 2.3452	LR: 0.073656
Training Epoch: 1 [35584/47500]	Loss: 2.2858	LR: 0.074194
Training Epoch: 1 [35840/47500]	Loss: 2.4437	LR: 0.074731
Training Epoch: 1 [36096/47500]	Loss: 2.4221	LR: 0.075269
Training Epoch: 1 [36352/47500]	Loss: 2.3307	LR: 0.075806
Training Epoch: 1 [36608/47500]	Loss: 2.3947	LR: 0.076344
Training Epoch: 1 [36864/47500]	Loss: 2.4951	LR: 0.076882
Training Epoch: 1 [37120/47500]	Loss: 2.4747	LR: 0.077419
Training Epoch: 1 [37376/47500]	Loss: 2.5886	LR: 0.077957
Training Epoch: 1 [37632/47500]	Loss: 2.4693	LR: 0.078495
Training Epoch: 1 [37888/47500]	Loss: 2.5468	LR: 0.079032
Training Epoch: 1 [38144/47500]	Loss: 2.4460	LR: 0.079570
Training Epoch: 1 [38400/47500]	Loss: 2.4034	LR: 0.080108
Training Epoch: 1 [38656/47500]	Loss: 2.6812	LR: 0.080645
Training Epoch: 1 [38912/47500]	Loss: 2.3987	LR: 0.081183
Training Epoch: 1 [39168/47500]	Loss: 2.3832	LR: 0.081720
Training Epoch: 1 [39424/47500]	Loss: 2.3750	LR: 0.082258
Training Epoch: 1 [39680/47500]	Loss: 2.4563	LR: 0.082796
Training Epoch: 1 [39936/47500]	Loss: 2.4711	LR: 0.083333
Training Epoch: 1 [40192/47500]	Loss: 2.3862	LR: 0.083871
Training Epoch: 1 [40448/47500]	Loss: 2.1929	LR: 0.084409
Training Epoch: 1 [40704/47500]	Loss: 2.4220	LR: 0.084946
Training Epoch: 1 [40960/47500]	Loss: 2.3326	LR: 0.085484
Training Epoch: 1 [41216/47500]	Loss: 2.4080	LR: 0.086022
Training Epoch: 1 [41472/47500]	Loss: 2.3552	LR: 0.086559
Training Epoch: 1 [41728/47500]	Loss: 2.2758	LR: 0.087097
Training Epoch: 1 [41984/47500]	Loss: 2.2983	LR: 0.087634
Training Epoch: 1 [42240/47500]	Loss: 2.2051	LR: 0.088172
Training Epoch: 1 [42496/47500]	Loss: 2.1798	LR: 0.088710
Training Epoch: 1 [42752/47500]	Loss: 2.3178	LR: 0.089247
Training Epoch: 1 [43008/47500]	Loss: 2.3080	LR: 0.089785
Training Epoch: 1 [43264/47500]	Loss: 2.3238	LR: 0.090323
Training Epoch: 1 [43520/47500]	Loss: 2.4295	LR: 0.090860
Training Epoch: 1 [43776/47500]	Loss: 2.2870	LR: 0.091398
Training Epoch: 1 [44032/47500]	Loss: 2.2887	LR: 0.091935
Training Epoch: 1 [44288/47500]	Loss: 2.3037	LR: 0.092473
Training Epoch: 1 [44544/47500]	Loss: 2.1930	LR: 0.093011
Training Epoch: 1 [44800/47500]	Loss: 2.4538	LR: 0.093548
Training Epoch: 1 [45056/47500]	Loss: 2.3634	LR: 0.094086
Training Epoch: 1 [45312/47500]	Loss: 2.4208	LR: 0.094624
Training Epoch: 1 [45568/47500]	Loss: 2.4514	LR: 0.095161
Training Epoch: 1 [45824/47500]	Loss: 2.3050	LR: 0.095699
Training Epoch: 1 [46080/47500]	Loss: 2.2968	LR: 0.096237
Training Epoch: 1 [46336/47500]	Loss: 2.2974	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 2.4232	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 2.3519	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 2.2885	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 2.4638	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 2.4820	LR: 0.099462
Epoch 1 - Average Train Loss: 2.5526, Train Accuracy: 0.2172
Epoch 1 training time consumed: 29.10s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0103, Accuracy: 0.2291, Time consumed:1.04s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_19h_58m_59s/ResNet18-Cifar20-seed5-ret50-1-best.pth
Training Epoch: 2 [256/47500]	Loss: 2.3354	LR: 0.100000
Training Epoch: 2 [512/47500]	Loss: 2.3360	LR: 0.100000
Training Epoch: 2 [768/47500]	Loss: 2.3582	LR: 0.100000
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Epoch 2 - Average Train Loss: 2.1715, Train Accuracy: 0.3266
Epoch 2 training time consumed: 28.38s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0093, Accuracy: 0.3362, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_19h_58m_59s/ResNet18-Cifar20-seed5-ret50-2-best.pth
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Training Epoch: 3 [47500/47500]	Loss: 1.9642	LR: 0.100000
Epoch 3 - Average Train Loss: 1.9003, Train Accuracy: 0.4017
Epoch 3 training time consumed: 28.66s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0072, Accuracy: 0.4234, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_19h_58m_59s/ResNet18-Cifar20-seed5-ret50-3-best.pth
Training Epoch: 4 [256/47500]	Loss: 1.7925	LR: 0.100000
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Epoch 4 - Average Train Loss: 1.7053, Train Accuracy: 0.4592
Epoch 4 training time consumed: 28.34s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0065, Accuracy: 0.4888, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_19h_58m_59s/ResNet18-Cifar20-seed5-ret50-4-best.pth
Training Epoch: 5 [256/47500]	Loss: 1.5606	LR: 0.100000
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Training Epoch: 5 [19712/47500]	Loss: 1.5697	LR: 0.100000
Training Epoch: 5 [19968/47500]	Loss: 1.5284	LR: 0.100000
Training Epoch: 5 [20224/47500]	Loss: 1.6052	LR: 0.100000
Training Epoch: 5 [20480/47500]	Loss: 1.6508	LR: 0.100000
Training Epoch: 5 [20736/47500]	Loss: 1.6659	LR: 0.100000
Training Epoch: 5 [20992/47500]	Loss: 1.6992	LR: 0.100000
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Training Epoch: 5 [21504/47500]	Loss: 1.5279	LR: 0.100000
Training Epoch: 5 [21760/47500]	Loss: 1.6291	LR: 0.100000
Training Epoch: 5 [22016/47500]	Loss: 1.5604	LR: 0.100000
Training Epoch: 5 [22272/47500]	Loss: 1.5314	LR: 0.100000
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Training Epoch: 5 [23808/47500]	Loss: 1.5674	LR: 0.100000
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Training Epoch: 5 [24320/47500]	Loss: 1.4611	LR: 0.100000
Training Epoch: 5 [24576/47500]	Loss: 1.5656	LR: 0.100000
Training Epoch: 5 [24832/47500]	Loss: 1.6160	LR: 0.100000
Training Epoch: 5 [25088/47500]	Loss: 1.5008	LR: 0.100000
Training Epoch: 5 [25344/47500]	Loss: 1.4209	LR: 0.100000
Training Epoch: 5 [25600/47500]	Loss: 1.5184	LR: 0.100000
Training Epoch: 5 [25856/47500]	Loss: 1.7753	LR: 0.100000
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Training Epoch: 5 [26368/47500]	Loss: 1.5171	LR: 0.100000
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Training Epoch: 5 [27904/47500]	Loss: 1.6141	LR: 0.100000
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Training Epoch: 5 [28928/47500]	Loss: 1.4814	LR: 0.100000
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Training Epoch: 5 [29440/47500]	Loss: 1.7618	LR: 0.100000
Training Epoch: 5 [29696/47500]	Loss: 1.5942	LR: 0.100000
Training Epoch: 5 [29952/47500]	Loss: 1.3813	LR: 0.100000
Training Epoch: 5 [30208/47500]	Loss: 1.5415	LR: 0.100000
Training Epoch: 5 [30464/47500]	Loss: 1.6206	LR: 0.100000
Training Epoch: 5 [30720/47500]	Loss: 1.5549	LR: 0.100000
Training Epoch: 5 [30976/47500]	Loss: 1.4997	LR: 0.100000
Training Epoch: 5 [31232/47500]	Loss: 1.7543	LR: 0.100000
Training Epoch: 5 [31488/47500]	Loss: 1.5656	LR: 0.100000
Training Epoch: 5 [31744/47500]	Loss: 1.3873	LR: 0.100000
Training Epoch: 5 [32000/47500]	Loss: 1.6892	LR: 0.100000
Training Epoch: 5 [32256/47500]	Loss: 1.3529	LR: 0.100000
Training Epoch: 5 [32512/47500]	Loss: 1.4052	LR: 0.100000
Training Epoch: 5 [32768/47500]	Loss: 1.6091	LR: 0.100000
Training Epoch: 5 [33024/47500]	Loss: 1.3879	LR: 0.100000
Training Epoch: 5 [33280/47500]	Loss: 1.4505	LR: 0.100000
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Training Epoch: 5 [34304/47500]	Loss: 1.4361	LR: 0.100000
Training Epoch: 5 [34560/47500]	Loss: 1.4775	LR: 0.100000
Training Epoch: 5 [34816/47500]	Loss: 1.3957	LR: 0.100000
Training Epoch: 5 [35072/47500]	Loss: 1.5023	LR: 0.100000
Training Epoch: 5 [35328/47500]	Loss: 1.6779	LR: 0.100000
Training Epoch: 5 [35584/47500]	Loss: 1.3708	LR: 0.100000
Training Epoch: 5 [35840/47500]	Loss: 1.5155	LR: 0.100000
Training Epoch: 5 [36096/47500]	Loss: 1.2917	LR: 0.100000
Training Epoch: 5 [36352/47500]	Loss: 1.5478	LR: 0.100000
Training Epoch: 5 [36608/47500]	Loss: 1.4667	LR: 0.100000
Training Epoch: 5 [36864/47500]	Loss: 1.4828	LR: 0.100000
Training Epoch: 5 [37120/47500]	Loss: 1.3712	LR: 0.100000
Training Epoch: 5 [37376/47500]	Loss: 1.5116	LR: 0.100000
Training Epoch: 5 [37632/47500]	Loss: 1.6215	LR: 0.100000
Training Epoch: 5 [37888/47500]	Loss: 1.5325	LR: 0.100000
Training Epoch: 5 [38144/47500]	Loss: 1.4459	LR: 0.100000
Training Epoch: 5 [38400/47500]	Loss: 1.4650	LR: 0.100000
Training Epoch: 5 [38656/47500]	Loss: 1.4360	LR: 0.100000
Training Epoch: 5 [38912/47500]	Loss: 1.5505	LR: 0.100000
Training Epoch: 5 [39168/47500]	Loss: 1.3300	LR: 0.100000
Training Epoch: 5 [39424/47500]	Loss: 1.5225	LR: 0.100000
Training Epoch: 5 [39680/47500]	Loss: 1.5809	LR: 0.100000
Training Epoch: 5 [39936/47500]	Loss: 1.4393	LR: 0.100000
Training Epoch: 5 [40192/47500]	Loss: 1.4010	LR: 0.100000
Training Epoch: 5 [40448/47500]	Loss: 1.3288	LR: 0.100000
Training Epoch: 5 [40704/47500]	Loss: 1.4369	LR: 0.100000
Training Epoch: 5 [40960/47500]	Loss: 1.6055	LR: 0.100000
Training Epoch: 5 [41216/47500]	Loss: 1.6244	LR: 0.100000
Training Epoch: 5 [41472/47500]	Loss: 1.5247	LR: 0.100000
Training Epoch: 5 [41728/47500]	Loss: 1.5258	LR: 0.100000
Training Epoch: 5 [41984/47500]	Loss: 1.4526	LR: 0.100000
Training Epoch: 5 [42240/47500]	Loss: 1.4942	LR: 0.100000
Training Epoch: 5 [42496/47500]	Loss: 1.4481	LR: 0.100000
Training Epoch: 5 [42752/47500]	Loss: 1.4776	LR: 0.100000
Training Epoch: 5 [43008/47500]	Loss: 1.6051	LR: 0.100000
Training Epoch: 5 [43264/47500]	Loss: 1.4839	LR: 0.100000
Training Epoch: 5 [43520/47500]	Loss: 1.4415	LR: 0.100000
Training Epoch: 5 [43776/47500]	Loss: 1.3853	LR: 0.100000
Training Epoch: 5 [44032/47500]	Loss: 1.4417	LR: 0.100000
Training Epoch: 5 [44288/47500]	Loss: 1.4414	LR: 0.100000
Training Epoch: 5 [44544/47500]	Loss: 1.5526	LR: 0.100000
Training Epoch: 5 [44800/47500]	Loss: 1.4280	LR: 0.100000
Training Epoch: 5 [45056/47500]	Loss: 1.3997	LR: 0.100000
Training Epoch: 5 [45312/47500]	Loss: 1.4920	LR: 0.100000
Training Epoch: 5 [45568/47500]	Loss: 1.3894	LR: 0.100000
Training Epoch: 5 [45824/47500]	Loss: 1.5555	LR: 0.100000
Training Epoch: 5 [46080/47500]	Loss: 1.4660	LR: 0.100000
Training Epoch: 5 [46336/47500]	Loss: 1.4875	LR: 0.100000
Training Epoch: 5 [46592/47500]	Loss: 1.5141	LR: 0.100000
Training Epoch: 5 [46848/47500]	Loss: 1.3130	LR: 0.100000
Training Epoch: 5 [47104/47500]	Loss: 1.6899	LR: 0.100000
Training Epoch: 5 [47360/47500]	Loss: 1.6158	LR: 0.100000
Training Epoch: 5 [47500/47500]	Loss: 1.5148	LR: 0.100000
Epoch 5 - Average Train Loss: 1.5422, Train Accuracy: 0.5091
Epoch 5 training time consumed: 28.34s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0069, Accuracy: 0.4664, Time consumed:0.96s
Training Epoch: 6 [256/47500]	Loss: 1.3841	LR: 0.100000
Training Epoch: 6 [512/47500]	Loss: 1.4690	LR: 0.100000
Training Epoch: 6 [768/47500]	Loss: 1.4255	LR: 0.100000
Training Epoch: 6 [1024/47500]	Loss: 1.2908	LR: 0.100000
Training Epoch: 6 [1280/47500]	Loss: 1.5666	LR: 0.100000
Training Epoch: 6 [1536/47500]	Loss: 1.3489	LR: 0.100000
Training Epoch: 6 [1792/47500]	Loss: 1.3746	LR: 0.100000
Training Epoch: 6 [2048/47500]	Loss: 1.4702	LR: 0.100000
Training Epoch: 6 [2304/47500]	Loss: 1.4398	LR: 0.100000
Training Epoch: 6 [2560/47500]	Loss: 1.4732	LR: 0.100000
Training Epoch: 6 [2816/47500]	Loss: 1.3558	LR: 0.100000
Training Epoch: 6 [3072/47500]	Loss: 1.4635	LR: 0.100000
Training Epoch: 6 [3328/47500]	Loss: 1.4920	LR: 0.100000
Training Epoch: 6 [3584/47500]	Loss: 1.4548	LR: 0.100000
Training Epoch: 6 [3840/47500]	Loss: 1.3641	LR: 0.100000
Training Epoch: 6 [4096/47500]	Loss: 1.3819	LR: 0.100000
Training Epoch: 6 [4352/47500]	Loss: 1.3445	LR: 0.100000
Training Epoch: 6 [4608/47500]	Loss: 1.4118	LR: 0.100000
Training Epoch: 6 [4864/47500]	Loss: 1.3859	LR: 0.100000
Training Epoch: 6 [5120/47500]	Loss: 1.5711	LR: 0.100000
Training Epoch: 6 [5376/47500]	Loss: 1.5644	LR: 0.100000
Training Epoch: 6 [5632/47500]	Loss: 1.4449	LR: 0.100000
Training Epoch: 6 [5888/47500]	Loss: 1.2777	LR: 0.100000
Training Epoch: 6 [6144/47500]	Loss: 1.5450	LR: 0.100000
Training Epoch: 6 [6400/47500]	Loss: 1.4640	LR: 0.100000
Training Epoch: 6 [6656/47500]	Loss: 1.4779	LR: 0.100000
Training Epoch: 6 [6912/47500]	Loss: 1.4881	LR: 0.100000
Training Epoch: 6 [7168/47500]	Loss: 1.4812	LR: 0.100000
Training Epoch: 6 [7424/47500]	Loss: 1.4222	LR: 0.100000
Training Epoch: 6 [7680/47500]	Loss: 1.5370	LR: 0.100000
Training Epoch: 6 [7936/47500]	Loss: 1.4881	LR: 0.100000
Training Epoch: 6 [8192/47500]	Loss: 1.4689	LR: 0.100000
Training Epoch: 6 [8448/47500]	Loss: 1.4166	LR: 0.100000
Training Epoch: 6 [8704/47500]	Loss: 1.4623	LR: 0.100000
Training Epoch: 6 [8960/47500]	Loss: 1.4043	LR: 0.100000
Training Epoch: 6 [9216/47500]	Loss: 1.6386	LR: 0.100000
Training Epoch: 6 [9472/47500]	Loss: 1.4235	LR: 0.100000
Training Epoch: 6 [9728/47500]	Loss: 1.4343	LR: 0.100000
Training Epoch: 6 [9984/47500]	Loss: 1.4316	LR: 0.100000
Training Epoch: 6 [10240/47500]	Loss: 1.4919	LR: 0.100000
Training Epoch: 6 [10496/47500]	Loss: 1.3487	LR: 0.100000
Training Epoch: 6 [10752/47500]	Loss: 1.4096	LR: 0.100000
Training Epoch: 6 [11008/47500]	Loss: 1.4763	LR: 0.100000
Training Epoch: 6 [11264/47500]	Loss: 1.6018	LR: 0.100000
Training Epoch: 6 [11520/47500]	Loss: 1.4423	LR: 0.100000
Training Epoch: 6 [11776/47500]	Loss: 1.3578	LR: 0.100000
Training Epoch: 6 [12032/47500]	Loss: 1.2196	LR: 0.100000
Training Epoch: 6 [12288/47500]	Loss: 1.3062	LR: 0.100000
Training Epoch: 6 [12544/47500]	Loss: 1.4696	LR: 0.100000
Training Epoch: 6 [12800/47500]	Loss: 1.5738	LR: 0.100000
Training Epoch: 6 [13056/47500]	Loss: 1.4412	LR: 0.100000
Training Epoch: 6 [13312/47500]	Loss: 1.5962	LR: 0.100000
Training Epoch: 6 [13568/47500]	Loss: 1.6153	LR: 0.100000
Training Epoch: 6 [13824/47500]	Loss: 1.4261	LR: 0.100000
Training Epoch: 6 [14080/47500]	Loss: 1.3704	LR: 0.100000
Training Epoch: 6 [14336/47500]	Loss: 1.4944	LR: 0.100000
Training Epoch: 6 [14592/47500]	Loss: 1.4291	LR: 0.100000
Training Epoch: 6 [14848/47500]	Loss: 1.2873	LR: 0.100000
Training Epoch: 6 [15104/47500]	Loss: 1.4665	LR: 0.100000
Training Epoch: 6 [15360/47500]	Loss: 1.5076	LR: 0.100000
Training Epoch: 6 [15616/47500]	Loss: 1.4292	LR: 0.100000
Training Epoch: 6 [15872/47500]	Loss: 1.3786	LR: 0.100000
Training Epoch: 6 [16128/47500]	Loss: 1.2915	LR: 0.100000
Training Epoch: 6 [16384/47500]	Loss: 1.2575	LR: 0.100000
Training Epoch: 6 [16640/47500]	Loss: 1.5551	LR: 0.100000
Training Epoch: 6 [16896/47500]	Loss: 1.3822	LR: 0.100000
Training Epoch: 6 [17152/47500]	Loss: 1.5882	LR: 0.100000
Training Epoch: 6 [17408/47500]	Loss: 1.3746	LR: 0.100000
Training Epoch: 6 [17664/47500]	Loss: 1.3027	LR: 0.100000
Training Epoch: 6 [17920/47500]	Loss: 1.3970	LR: 0.100000
Training Epoch: 6 [18176/47500]	Loss: 1.3223	LR: 0.100000
Training Epoch: 6 [18432/47500]	Loss: 1.3416	LR: 0.100000
Training Epoch: 6 [18688/47500]	Loss: 1.4341	LR: 0.100000
Training Epoch: 6 [18944/47500]	Loss: 1.3870	LR: 0.100000
Training Epoch: 6 [19200/47500]	Loss: 1.3566	LR: 0.100000
Training Epoch: 6 [19456/47500]	Loss: 1.4267	LR: 0.100000
Training Epoch: 6 [19712/47500]	Loss: 1.2539	LR: 0.100000
Training Epoch: 6 [19968/47500]	Loss: 1.3809	LR: 0.100000
Training Epoch: 6 [20224/47500]	Loss: 1.4941	LR: 0.100000
Training Epoch: 6 [20480/47500]	Loss: 1.3201	LR: 0.100000
Training Epoch: 6 [20736/47500]	Loss: 1.3387	LR: 0.100000
Training Epoch: 6 [20992/47500]	Loss: 1.5294	LR: 0.100000
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Training Epoch: 6 [21504/47500]	Loss: 1.4897	LR: 0.100000
Training Epoch: 6 [21760/47500]	Loss: 1.3262	LR: 0.100000
Training Epoch: 6 [22016/47500]	Loss: 1.5757	LR: 0.100000
Training Epoch: 6 [22272/47500]	Loss: 1.4361	LR: 0.100000
Training Epoch: 6 [22528/47500]	Loss: 1.3144	LR: 0.100000
Training Epoch: 6 [22784/47500]	Loss: 1.4209	LR: 0.100000
Training Epoch: 6 [23040/47500]	Loss: 1.4766	LR: 0.100000
Training Epoch: 6 [23296/47500]	Loss: 1.4303	LR: 0.100000
Training Epoch: 6 [23552/47500]	Loss: 1.5247	LR: 0.100000
Training Epoch: 6 [23808/47500]	Loss: 1.5359	LR: 0.100000
Training Epoch: 6 [24064/47500]	Loss: 1.4849	LR: 0.100000
Training Epoch: 6 [24320/47500]	Loss: 1.3701	LR: 0.100000
Training Epoch: 6 [24576/47500]	Loss: 1.5692	LR: 0.100000
Training Epoch: 6 [24832/47500]	Loss: 1.5048	LR: 0.100000
Training Epoch: 6 [25088/47500]	Loss: 1.4626	LR: 0.100000
Training Epoch: 6 [25344/47500]	Loss: 1.6572	LR: 0.100000
Training Epoch: 6 [25600/47500]	Loss: 1.4266	LR: 0.100000
Training Epoch: 6 [25856/47500]	Loss: 1.3956	LR: 0.100000
Training Epoch: 6 [26112/47500]	Loss: 1.4405	LR: 0.100000
Training Epoch: 6 [26368/47500]	Loss: 1.3019	LR: 0.100000
Training Epoch: 6 [26624/47500]	Loss: 1.4864	LR: 0.100000
Training Epoch: 6 [26880/47500]	Loss: 1.3715	LR: 0.100000
Training Epoch: 6 [27136/47500]	Loss: 1.3688	LR: 0.100000
Training Epoch: 6 [27392/47500]	Loss: 1.3067	LR: 0.100000
Training Epoch: 6 [27648/47500]	Loss: 1.4082	LR: 0.100000
Training Epoch: 6 [27904/47500]	Loss: 1.5337	LR: 0.100000
Training Epoch: 6 [28160/47500]	Loss: 1.3529	LR: 0.100000
Training Epoch: 6 [28416/47500]	Loss: 1.4159	LR: 0.100000
Training Epoch: 6 [28672/47500]	Loss: 1.5530	LR: 0.100000
Training Epoch: 6 [28928/47500]	Loss: 1.4240	LR: 0.100000
Training Epoch: 6 [29184/47500]	Loss: 1.2731	LR: 0.100000
Training Epoch: 6 [29440/47500]	Loss: 1.3485	LR: 0.100000
Training Epoch: 6 [29696/47500]	Loss: 1.2823	LR: 0.100000
Training Epoch: 6 [29952/47500]	Loss: 1.4536	LR: 0.100000
Training Epoch: 6 [30208/47500]	Loss: 1.3887	LR: 0.100000
Training Epoch: 6 [30464/47500]	Loss: 1.3173	LR: 0.100000
Training Epoch: 6 [30720/47500]	Loss: 1.2537	LR: 0.100000
Training Epoch: 6 [30976/47500]	Loss: 1.3756	LR: 0.100000
Training Epoch: 6 [31232/47500]	Loss: 1.3668	LR: 0.100000
Training Epoch: 6 [31488/47500]	Loss: 1.2696	LR: 0.100000
Training Epoch: 6 [31744/47500]	Loss: 1.4200	LR: 0.100000
Training Epoch: 6 [32000/47500]	Loss: 1.3785	LR: 0.100000
Training Epoch: 6 [32256/47500]	Loss: 1.4039	LR: 0.100000
Training Epoch: 6 [32512/47500]	Loss: 1.3473	LR: 0.100000
Training Epoch: 6 [32768/47500]	Loss: 1.5212	LR: 0.100000
Training Epoch: 6 [33024/47500]	Loss: 1.3134	LR: 0.100000
Training Epoch: 6 [33280/47500]	Loss: 1.3823	LR: 0.100000
Training Epoch: 6 [33536/47500]	Loss: 1.3194	LR: 0.100000
Training Epoch: 6 [33792/47500]	Loss: 1.3591	LR: 0.100000
Training Epoch: 6 [34048/47500]	Loss: 1.3906	LR: 0.100000
Training Epoch: 6 [34304/47500]	Loss: 1.4249	LR: 0.100000
Training Epoch: 6 [34560/47500]	Loss: 1.3559	LR: 0.100000
Training Epoch: 6 [34816/47500]	Loss: 1.4076	LR: 0.100000
Training Epoch: 6 [35072/47500]	Loss: 1.3469	LR: 0.100000
Training Epoch: 6 [35328/47500]	Loss: 1.5326	LR: 0.100000
Training Epoch: 6 [35584/47500]	Loss: 1.3638	LR: 0.100000
Training Epoch: 6 [35840/47500]	Loss: 1.4066	LR: 0.100000
Training Epoch: 6 [36096/47500]	Loss: 1.3428	LR: 0.100000
Training Epoch: 6 [36352/47500]	Loss: 1.4507	LR: 0.100000
Training Epoch: 6 [36608/47500]	Loss: 1.4358	LR: 0.100000
Training Epoch: 6 [36864/47500]	Loss: 1.5810	LR: 0.100000
Training Epoch: 6 [37120/47500]	Loss: 1.3869	LR: 0.100000
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Training Epoch: 6 [47500/47500]	Loss: 1.1495	LR: 0.100000
Epoch 6 - Average Train Loss: 1.4082, Train Accuracy: 0.5493
Epoch 6 training time consumed: 28.46s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0056, Accuracy: 0.5556, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_19h_58m_59s/ResNet18-Cifar20-seed5-ret50-6-best.pth
Training Epoch: 7 [256/47500]	Loss: 1.1948	LR: 0.100000
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Training Epoch: 7 [47500/47500]	Loss: 1.3397	LR: 0.100000
Epoch 7 - Average Train Loss: 1.2948, Train Accuracy: 0.5834
Epoch 7 training time consumed: 28.37s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0054, Accuracy: 0.5670, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_19h_58m_59s/ResNet18-Cifar20-seed5-ret50-7-best.pth
Training Epoch: 8 [256/47500]	Loss: 1.1595	LR: 0.100000
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Epoch 8 - Average Train Loss: 1.1930, Train Accuracy: 0.6156
Epoch 8 training time consumed: 28.28s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0051, Accuracy: 0.5862, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_19h_58m_59s/ResNet18-Cifar20-seed5-ret50-8-best.pth
Training Epoch: 9 [256/47500]	Loss: 1.0483	LR: 0.100000
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Training Epoch: 9 [45056/47500]	Loss: 1.1098	LR: 0.100000
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Training Epoch: 9 [47360/47500]	Loss: 0.9831	LR: 0.100000
Training Epoch: 9 [47500/47500]	Loss: 1.0745	LR: 0.100000
Epoch 9 - Average Train Loss: 1.1202, Train Accuracy: 0.6375
Epoch 9 training time consumed: 28.34s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0060, Accuracy: 0.5624, Time consumed:0.89s
Training Epoch: 10 [256/47500]	Loss: 0.9642	LR: 0.100000
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Training Epoch: 10 [47500/47500]	Loss: 0.9951	LR: 0.100000
Epoch 10 - Average Train Loss: 1.0597, Train Accuracy: 0.6587
Epoch 10 training time consumed: 28.38s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0052, Accuracy: 0.5989, Time consumed:0.87s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_19h_58m_59s/ResNet18-Cifar20-seed5-ret50-10-best.pth
Training Epoch: 11 [256/47500]	Loss: 0.8882	LR: 0.100000
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Training Epoch: 11 [47500/47500]	Loss: 1.1002	LR: 0.100000
Epoch 11 - Average Train Loss: 1.0071, Train Accuracy: 0.6717
Epoch 11 training time consumed: 28.40s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0048, Accuracy: 0.6292, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_19h_58m_59s/ResNet18-Cifar20-seed5-ret50-11-best.pth
Training Epoch: 12 [256/47500]	Loss: 1.0257	LR: 0.100000
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Training Epoch: 12 [47500/47500]	Loss: 1.0531	LR: 0.100000
Epoch 12 - Average Train Loss: 0.9735, Train Accuracy: 0.6824
Epoch 12 training time consumed: 28.42s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0047, Accuracy: 0.6402, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_19h_58m_59s/ResNet18-Cifar20-seed5-ret50-12-best.pth
Training Epoch: 13 [256/47500]	Loss: 0.8601	LR: 0.100000
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Epoch 13 - Average Train Loss: 0.9396, Train Accuracy: 0.6971
Epoch 13 training time consumed: 28.46s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0041, Accuracy: 0.6698, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_19h_58m_59s/ResNet18-Cifar20-seed5-ret50-13-best.pth
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Training Epoch: 14 [47500/47500]	Loss: 0.6733	LR: 0.100000
Epoch 14 - Average Train Loss: 0.9034, Train Accuracy: 0.7063
Epoch 14 training time consumed: 28.47s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0050, Accuracy: 0.6240, Time consumed:0.95s
Training Epoch: 15 [256/47500]	Loss: 1.0262	LR: 0.020000
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Training Epoch: 15 [47500/47500]	Loss: 0.7137	LR: 0.020000
Epoch 15 - Average Train Loss: 0.6636, Train Accuracy: 0.7850
Epoch 15 training time consumed: 28.64s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0030, Accuracy: 0.7592, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_19h_58m_59s/ResNet18-Cifar20-seed5-ret50-15-best.pth
Training Epoch: 16 [256/47500]	Loss: 0.5497	LR: 0.020000
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Training Epoch: 16 [47500/47500]	Loss: 0.5719	LR: 0.020000
Epoch 16 - Average Train Loss: 0.5808, Train Accuracy: 0.8102
Epoch 16 training time consumed: 28.36s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0029, Accuracy: 0.7658, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_19h_58m_59s/ResNet18-Cifar20-seed5-ret50-16-best.pth
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Training Epoch: 17 [47500/47500]	Loss: 0.7459	LR: 0.020000
Epoch 17 - Average Train Loss: 0.5408, Train Accuracy: 0.8233
Epoch 17 training time consumed: 28.38s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0028, Accuracy: 0.7746, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_19h_58m_59s/ResNet18-Cifar20-seed5-ret50-17-best.pth
Training Epoch: 18 [256/47500]	Loss: 0.4451	LR: 0.020000
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Training Epoch: 18 [47500/47500]	Loss: 0.4676	LR: 0.020000
Epoch 18 - Average Train Loss: 0.5145, Train Accuracy: 0.8302
Epoch 18 training time consumed: 28.47s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0029, Accuracy: 0.7672, Time consumed:0.87s
Training Epoch: 19 [256/47500]	Loss: 0.4431	LR: 0.020000
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Training Epoch: 19 [13312/47500]	Loss: 0.4484	LR: 0.020000
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Training Epoch: 19 [13824/47500]	Loss: 0.4616	LR: 0.020000
Training Epoch: 19 [14080/47500]	Loss: 0.4849	LR: 0.020000
Training Epoch: 19 [14336/47500]	Loss: 0.4310	LR: 0.020000
Training Epoch: 19 [14592/47500]	Loss: 0.5878	LR: 0.020000
Training Epoch: 19 [14848/47500]	Loss: 0.4426	LR: 0.020000
Training Epoch: 19 [15104/47500]	Loss: 0.4561	LR: 0.020000
Training Epoch: 19 [15360/47500]	Loss: 0.4428	LR: 0.020000
Training Epoch: 19 [15616/47500]	Loss: 0.3901	LR: 0.020000
Training Epoch: 19 [15872/47500]	Loss: 0.5028	LR: 0.020000
Training Epoch: 19 [16128/47500]	Loss: 0.5214	LR: 0.020000
Training Epoch: 19 [16384/47500]	Loss: 0.4420	LR: 0.020000
Training Epoch: 19 [16640/47500]	Loss: 0.6122	LR: 0.020000
Training Epoch: 19 [16896/47500]	Loss: 0.4712	LR: 0.020000
Training Epoch: 19 [17152/47500]	Loss: 0.5006	LR: 0.020000
Training Epoch: 19 [17408/47500]	Loss: 0.5661	LR: 0.020000
Training Epoch: 19 [17664/47500]	Loss: 0.5018	LR: 0.020000
Training Epoch: 19 [17920/47500]	Loss: 0.5012	LR: 0.020000
Training Epoch: 19 [18176/47500]	Loss: 0.5707	LR: 0.020000
Training Epoch: 19 [18432/47500]	Loss: 0.4834	LR: 0.020000
Training Epoch: 19 [18688/47500]	Loss: 0.4773	LR: 0.020000
Training Epoch: 19 [18944/47500]	Loss: 0.5110	LR: 0.020000
Training Epoch: 19 [19200/47500]	Loss: 0.4449	LR: 0.020000
Training Epoch: 19 [19456/47500]	Loss: 0.4694	LR: 0.020000
Training Epoch: 19 [19712/47500]	Loss: 0.5086	LR: 0.020000
Training Epoch: 19 [19968/47500]	Loss: 0.6041	LR: 0.020000
Training Epoch: 19 [20224/47500]	Loss: 0.4840	LR: 0.020000
Training Epoch: 19 [20480/47500]	Loss: 0.4776	LR: 0.020000
Training Epoch: 19 [20736/47500]	Loss: 0.6417	LR: 0.020000
Training Epoch: 19 [20992/47500]	Loss: 0.4622	LR: 0.020000
Training Epoch: 19 [21248/47500]	Loss: 0.4306	LR: 0.020000
Training Epoch: 19 [21504/47500]	Loss: 0.4025	LR: 0.020000
Training Epoch: 19 [21760/47500]	Loss: 0.5199	LR: 0.020000
Training Epoch: 19 [22016/47500]	Loss: 0.5356	LR: 0.020000
Training Epoch: 19 [22272/47500]	Loss: 0.5104	LR: 0.020000
Training Epoch: 19 [22528/47500]	Loss: 0.4737	LR: 0.020000
Training Epoch: 19 [22784/47500]	Loss: 0.4064	LR: 0.020000
Training Epoch: 19 [23040/47500]	Loss: 0.5505	LR: 0.020000
Training Epoch: 19 [23296/47500]	Loss: 0.5425	LR: 0.020000
Training Epoch: 19 [23552/47500]	Loss: 0.4382	LR: 0.020000
Training Epoch: 19 [23808/47500]	Loss: 0.5031	LR: 0.020000
Training Epoch: 19 [24064/47500]	Loss: 0.5113	LR: 0.020000
Training Epoch: 19 [24320/47500]	Loss: 0.5636	LR: 0.020000
Training Epoch: 19 [24576/47500]	Loss: 0.5226	LR: 0.020000
Training Epoch: 19 [24832/47500]	Loss: 0.5738	LR: 0.020000
Training Epoch: 19 [25088/47500]	Loss: 0.4544	LR: 0.020000
Training Epoch: 19 [25344/47500]	Loss: 0.5345	LR: 0.020000
Training Epoch: 19 [25600/47500]	Loss: 0.4856	LR: 0.020000
Training Epoch: 19 [25856/47500]	Loss: 0.5586	LR: 0.020000
Training Epoch: 19 [26112/47500]	Loss: 0.4835	LR: 0.020000
Training Epoch: 19 [26368/47500]	Loss: 0.5538	LR: 0.020000
Training Epoch: 19 [26624/47500]	Loss: 0.5644	LR: 0.020000
Training Epoch: 19 [26880/47500]	Loss: 0.5722	LR: 0.020000
Training Epoch: 19 [27136/47500]	Loss: 0.5244	LR: 0.020000
Training Epoch: 19 [27392/47500]	Loss: 0.5059	LR: 0.020000
Training Epoch: 19 [27648/47500]	Loss: 0.4923	LR: 0.020000
Training Epoch: 19 [27904/47500]	Loss: 0.4357	LR: 0.020000
Training Epoch: 19 [28160/47500]	Loss: 0.5238	LR: 0.020000
Training Epoch: 19 [28416/47500]	Loss: 0.4745	LR: 0.020000
Training Epoch: 19 [28672/47500]	Loss: 0.4596	LR: 0.020000
Training Epoch: 19 [28928/47500]	Loss: 0.4648	LR: 0.020000
Training Epoch: 19 [29184/47500]	Loss: 0.4205	LR: 0.020000
Training Epoch: 19 [29440/47500]	Loss: 0.5262	LR: 0.020000
Training Epoch: 19 [29696/47500]	Loss: 0.4102	LR: 0.020000
Training Epoch: 19 [29952/47500]	Loss: 0.3985	LR: 0.020000
Training Epoch: 19 [30208/47500]	Loss: 0.5233	LR: 0.020000
Training Epoch: 19 [30464/47500]	Loss: 0.4674	LR: 0.020000
Training Epoch: 19 [30720/47500]	Loss: 0.4880	LR: 0.020000
Training Epoch: 19 [30976/47500]	Loss: 0.4589	LR: 0.020000
Training Epoch: 19 [31232/47500]	Loss: 0.5478	LR: 0.020000
Training Epoch: 19 [31488/47500]	Loss: 0.4418	LR: 0.020000
Training Epoch: 19 [31744/47500]	Loss: 0.6323	LR: 0.020000
Training Epoch: 19 [32000/47500]	Loss: 0.4628	LR: 0.020000
Training Epoch: 19 [32256/47500]	Loss: 0.4525	LR: 0.020000
Training Epoch: 19 [32512/47500]	Loss: 0.5038	LR: 0.020000
Training Epoch: 19 [32768/47500]	Loss: 0.4267	LR: 0.020000
Training Epoch: 19 [33024/47500]	Loss: 0.5255	LR: 0.020000
Training Epoch: 19 [33280/47500]	Loss: 0.4736	LR: 0.020000
Training Epoch: 19 [33536/47500]	Loss: 0.4723	LR: 0.020000
Training Epoch: 19 [33792/47500]	Loss: 0.5282	LR: 0.020000
Training Epoch: 19 [34048/47500]	Loss: 0.5196	LR: 0.020000
Training Epoch: 19 [34304/47500]	Loss: 0.4737	LR: 0.020000
Training Epoch: 19 [34560/47500]	Loss: 0.4763	LR: 0.020000
Training Epoch: 19 [34816/47500]	Loss: 0.4515	LR: 0.020000
Training Epoch: 19 [35072/47500]	Loss: 0.4976	LR: 0.020000
Training Epoch: 19 [35328/47500]	Loss: 0.5580	LR: 0.020000
Training Epoch: 19 [35584/47500]	Loss: 0.4916	LR: 0.020000
Training Epoch: 19 [35840/47500]	Loss: 0.4945	LR: 0.020000
Training Epoch: 19 [36096/47500]	Loss: 0.4044	LR: 0.020000
Training Epoch: 19 [36352/47500]	Loss: 0.5622	LR: 0.020000
Training Epoch: 19 [36608/47500]	Loss: 0.4393	LR: 0.020000
Training Epoch: 19 [36864/47500]	Loss: 0.4672	LR: 0.020000
Training Epoch: 19 [37120/47500]	Loss: 0.5230	LR: 0.020000
Training Epoch: 19 [37376/47500]	Loss: 0.4452	LR: 0.020000
Training Epoch: 19 [37632/47500]	Loss: 0.4330	LR: 0.020000
Training Epoch: 19 [37888/47500]	Loss: 0.5127	LR: 0.020000
Training Epoch: 19 [38144/47500]	Loss: 0.3639	LR: 0.020000
Training Epoch: 19 [38400/47500]	Loss: 0.4719	LR: 0.020000
Training Epoch: 19 [38656/47500]	Loss: 0.4944	LR: 0.020000
Training Epoch: 19 [38912/47500]	Loss: 0.4380	LR: 0.020000
Training Epoch: 19 [39168/47500]	Loss: 0.4147	LR: 0.020000
Training Epoch: 19 [39424/47500]	Loss: 0.4253	LR: 0.020000
Training Epoch: 19 [39680/47500]	Loss: 0.5779	LR: 0.020000
Training Epoch: 19 [39936/47500]	Loss: 0.5491	LR: 0.020000
Training Epoch: 19 [40192/47500]	Loss: 0.4644	LR: 0.020000
Training Epoch: 19 [40448/47500]	Loss: 0.5808	LR: 0.020000
Training Epoch: 19 [40704/47500]	Loss: 0.4774	LR: 0.020000
Training Epoch: 19 [40960/47500]	Loss: 0.4079	LR: 0.020000
Training Epoch: 19 [41216/47500]	Loss: 0.4180	LR: 0.020000
Training Epoch: 19 [41472/47500]	Loss: 0.5908	LR: 0.020000
Training Epoch: 19 [41728/47500]	Loss: 0.4524	LR: 0.020000
Training Epoch: 19 [41984/47500]	Loss: 0.5281	LR: 0.020000
Training Epoch: 19 [42240/47500]	Loss: 0.5050	LR: 0.020000
Training Epoch: 19 [42496/47500]	Loss: 0.4880	LR: 0.020000
Training Epoch: 19 [42752/47500]	Loss: 0.4629	LR: 0.020000
Training Epoch: 19 [43008/47500]	Loss: 0.3956	LR: 0.020000
Training Epoch: 19 [43264/47500]	Loss: 0.5261	LR: 0.020000
Training Epoch: 19 [43520/47500]	Loss: 0.4406	LR: 0.020000
Training Epoch: 19 [43776/47500]	Loss: 0.4926	LR: 0.020000
Training Epoch: 19 [44032/47500]	Loss: 0.5346	LR: 0.020000
Training Epoch: 19 [44288/47500]	Loss: 0.5508	LR: 0.020000
Training Epoch: 19 [44544/47500]	Loss: 0.5159	LR: 0.020000
Training Epoch: 19 [44800/47500]	Loss: 0.5034	LR: 0.020000
Training Epoch: 19 [45056/47500]	Loss: 0.5297	LR: 0.020000
Training Epoch: 19 [45312/47500]	Loss: 0.5505	LR: 0.020000
Training Epoch: 19 [45568/47500]	Loss: 0.4901	LR: 0.020000
Training Epoch: 19 [45824/47500]	Loss: 0.4762	LR: 0.020000
Training Epoch: 19 [46080/47500]	Loss: 0.5654	LR: 0.020000
Training Epoch: 19 [46336/47500]	Loss: 0.5517	LR: 0.020000
Training Epoch: 19 [46592/47500]	Loss: 0.5769	LR: 0.020000
Training Epoch: 19 [46848/47500]	Loss: 0.4869	LR: 0.020000
Training Epoch: 19 [47104/47500]	Loss: 0.3903	LR: 0.020000
Training Epoch: 19 [47360/47500]	Loss: 0.5371	LR: 0.020000
Training Epoch: 19 [47500/47500]	Loss: 0.4998	LR: 0.020000
Epoch 19 - Average Train Loss: 0.4909, Train Accuracy: 0.8404
Epoch 19 training time consumed: 28.89s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0030, Accuracy: 0.7680, Time consumed:0.88s
Training Epoch: 20 [256/47500]	Loss: 0.3921	LR: 0.020000
Training Epoch: 20 [512/47500]	Loss: 0.5015	LR: 0.020000
Training Epoch: 20 [768/47500]	Loss: 0.4717	LR: 0.020000
Training Epoch: 20 [1024/47500]	Loss: 0.4200	LR: 0.020000
Training Epoch: 20 [1280/47500]	Loss: 0.4956	LR: 0.020000
Training Epoch: 20 [1536/47500]	Loss: 0.3801	LR: 0.020000
Training Epoch: 20 [1792/47500]	Loss: 0.5415	LR: 0.020000
Training Epoch: 20 [2048/47500]	Loss: 0.3881	LR: 0.020000
Training Epoch: 20 [2304/47500]	Loss: 0.5380	LR: 0.020000
Training Epoch: 20 [2560/47500]	Loss: 0.5526	LR: 0.020000
Training Epoch: 20 [2816/47500]	Loss: 0.4566	LR: 0.020000
Training Epoch: 20 [3072/47500]	Loss: 0.5586	LR: 0.020000
Training Epoch: 20 [3328/47500]	Loss: 0.3821	LR: 0.020000
Training Epoch: 20 [3584/47500]	Loss: 0.4551	LR: 0.020000
Training Epoch: 20 [3840/47500]	Loss: 0.4136	LR: 0.020000
Training Epoch: 20 [4096/47500]	Loss: 0.4834	LR: 0.020000
Training Epoch: 20 [4352/47500]	Loss: 0.4882	LR: 0.020000
Training Epoch: 20 [4608/47500]	Loss: 0.4272	LR: 0.020000
Training Epoch: 20 [4864/47500]	Loss: 0.4456	LR: 0.020000
Training Epoch: 20 [5120/47500]	Loss: 0.4209	LR: 0.020000
Training Epoch: 20 [5376/47500]	Loss: 0.4536	LR: 0.020000
Training Epoch: 20 [5632/47500]	Loss: 0.4374	LR: 0.020000
Training Epoch: 20 [5888/47500]	Loss: 0.4273	LR: 0.020000
Training Epoch: 20 [6144/47500]	Loss: 0.4190	LR: 0.020000
Training Epoch: 20 [6400/47500]	Loss: 0.4140	LR: 0.020000
Training Epoch: 20 [6656/47500]	Loss: 0.5295	LR: 0.020000
Training Epoch: 20 [6912/47500]	Loss: 0.5059	LR: 0.020000
Training Epoch: 20 [7168/47500]	Loss: 0.4190	LR: 0.020000
Training Epoch: 20 [7424/47500]	Loss: 0.5113	LR: 0.020000
Training Epoch: 20 [7680/47500]	Loss: 0.4840	LR: 0.020000
Training Epoch: 20 [7936/47500]	Loss: 0.4659	LR: 0.020000
Training Epoch: 20 [8192/47500]	Loss: 0.3897	LR: 0.020000
Training Epoch: 20 [8448/47500]	Loss: 0.4665	LR: 0.020000
Training Epoch: 20 [8704/47500]	Loss: 0.4913	LR: 0.020000
Training Epoch: 20 [8960/47500]	Loss: 0.4865	LR: 0.020000
Training Epoch: 20 [9216/47500]	Loss: 0.4093	LR: 0.020000
Training Epoch: 20 [9472/47500]	Loss: 0.5713	LR: 0.020000
Training Epoch: 20 [9728/47500]	Loss: 0.5554	LR: 0.020000
Training Epoch: 20 [9984/47500]	Loss: 0.4707	LR: 0.020000
Training Epoch: 20 [10240/47500]	Loss: 0.4992	LR: 0.020000
Training Epoch: 20 [10496/47500]	Loss: 0.3613	LR: 0.020000
Training Epoch: 20 [10752/47500]	Loss: 0.4364	LR: 0.020000
Training Epoch: 20 [11008/47500]	Loss: 0.4453	LR: 0.020000
Training Epoch: 20 [11264/47500]	Loss: 0.3919	LR: 0.020000
Training Epoch: 20 [11520/47500]	Loss: 0.4290	LR: 0.020000
Training Epoch: 20 [11776/47500]	Loss: 0.4335	LR: 0.020000
Training Epoch: 20 [12032/47500]	Loss: 0.5582	LR: 0.020000
Training Epoch: 20 [12288/47500]	Loss: 0.4597	LR: 0.020000
Training Epoch: 20 [12544/47500]	Loss: 0.5539	LR: 0.020000
Training Epoch: 20 [12800/47500]	Loss: 0.4696	LR: 0.020000
Training Epoch: 20 [13056/47500]	Loss: 0.5299	LR: 0.020000
Training Epoch: 20 [13312/47500]	Loss: 0.3984	LR: 0.020000
Training Epoch: 20 [13568/47500]	Loss: 0.4622	LR: 0.020000
Training Epoch: 20 [13824/47500]	Loss: 0.4771	LR: 0.020000
Training Epoch: 20 [14080/47500]	Loss: 0.4392	LR: 0.020000
Training Epoch: 20 [14336/47500]	Loss: 0.5379	LR: 0.020000
Training Epoch: 20 [14592/47500]	Loss: 0.5168	LR: 0.020000
Training Epoch: 20 [14848/47500]	Loss: 0.5338	LR: 0.020000
Training Epoch: 20 [15104/47500]	Loss: 0.5037	LR: 0.020000
Training Epoch: 20 [15360/47500]	Loss: 0.5034	LR: 0.020000
Training Epoch: 20 [15616/47500]	Loss: 0.4684	LR: 0.020000
Training Epoch: 20 [15872/47500]	Loss: 0.4647	LR: 0.020000
Training Epoch: 20 [16128/47500]	Loss: 0.4768	LR: 0.020000
Training Epoch: 20 [16384/47500]	Loss: 0.4408	LR: 0.020000
Training Epoch: 20 [16640/47500]	Loss: 0.3490	LR: 0.020000
Training Epoch: 20 [16896/47500]	Loss: 0.4273	LR: 0.020000
Training Epoch: 20 [17152/47500]	Loss: 0.4760	LR: 0.020000
Training Epoch: 20 [17408/47500]	Loss: 0.4570	LR: 0.020000
Training Epoch: 20 [17664/47500]	Loss: 0.4510	LR: 0.020000
Training Epoch: 20 [17920/47500]	Loss: 0.3534	LR: 0.020000
Training Epoch: 20 [18176/47500]	Loss: 0.5094	LR: 0.020000
Training Epoch: 20 [18432/47500]	Loss: 0.6031	LR: 0.020000
Training Epoch: 20 [18688/47500]	Loss: 0.3941	LR: 0.020000
Training Epoch: 20 [18944/47500]	Loss: 0.4635	LR: 0.020000
Training Epoch: 20 [19200/47500]	Loss: 0.3741	LR: 0.020000
Training Epoch: 20 [19456/47500]	Loss: 0.4165	LR: 0.020000
Training Epoch: 20 [19712/47500]	Loss: 0.4626	LR: 0.020000
Training Epoch: 20 [19968/47500]	Loss: 0.4776	LR: 0.020000
Training Epoch: 20 [20224/47500]	Loss: 0.3455	LR: 0.020000
Training Epoch: 20 [20480/47500]	Loss: 0.6015	LR: 0.020000
Training Epoch: 20 [20736/47500]	Loss: 0.4597	LR: 0.020000
Training Epoch: 20 [20992/47500]	Loss: 0.4361	LR: 0.020000
Training Epoch: 20 [21248/47500]	Loss: 0.4214	LR: 0.020000
Training Epoch: 20 [21504/47500]	Loss: 0.4619	LR: 0.020000
Training Epoch: 20 [21760/47500]	Loss: 0.5283	LR: 0.020000
Training Epoch: 20 [22016/47500]	Loss: 0.4718	LR: 0.020000
Training Epoch: 20 [22272/47500]	Loss: 0.3918	LR: 0.020000
Training Epoch: 20 [22528/47500]	Loss: 0.5485	LR: 0.020000
Training Epoch: 20 [22784/47500]	Loss: 0.5298	LR: 0.020000
Training Epoch: 20 [23040/47500]	Loss: 0.5669	LR: 0.020000
Training Epoch: 20 [23296/47500]	Loss: 0.4793	LR: 0.020000
Training Epoch: 20 [23552/47500]	Loss: 0.5332	LR: 0.020000
Training Epoch: 20 [23808/47500]	Loss: 0.4264	LR: 0.020000
Training Epoch: 20 [24064/47500]	Loss: 0.4184	LR: 0.020000
Training Epoch: 20 [24320/47500]	Loss: 0.4362	LR: 0.020000
Training Epoch: 20 [24576/47500]	Loss: 0.4975	LR: 0.020000
Training Epoch: 20 [24832/47500]	Loss: 0.4620	LR: 0.020000
Training Epoch: 20 [25088/47500]	Loss: 0.5367	LR: 0.020000
Training Epoch: 20 [25344/47500]	Loss: 0.5291	LR: 0.020000
Training Epoch: 20 [25600/47500]	Loss: 0.3874	LR: 0.020000
Training Epoch: 20 [25856/47500]	Loss: 0.5223	LR: 0.020000
Training Epoch: 20 [26112/47500]	Loss: 0.5288	LR: 0.020000
Training Epoch: 20 [26368/47500]	Loss: 0.4979	LR: 0.020000
Training Epoch: 20 [26624/47500]	Loss: 0.4888	LR: 0.020000
Training Epoch: 20 [26880/47500]	Loss: 0.4270	LR: 0.020000
Training Epoch: 20 [27136/47500]	Loss: 0.4078	LR: 0.020000
Training Epoch: 20 [27392/47500]	Loss: 0.5170	LR: 0.020000
Training Epoch: 20 [27648/47500]	Loss: 0.4836	LR: 0.020000
Training Epoch: 20 [27904/47500]	Loss: 0.4304	LR: 0.020000
Training Epoch: 20 [28160/47500]	Loss: 0.4683	LR: 0.020000
Training Epoch: 20 [28416/47500]	Loss: 0.4841	LR: 0.020000
Training Epoch: 20 [28672/47500]	Loss: 0.3486	LR: 0.020000
Training Epoch: 20 [28928/47500]	Loss: 0.4702	LR: 0.020000
Training Epoch: 20 [29184/47500]	Loss: 0.4497	LR: 0.020000
Training Epoch: 20 [29440/47500]	Loss: 0.4078	LR: 0.020000
Training Epoch: 20 [29696/47500]	Loss: 0.4979	LR: 0.020000
Training Epoch: 20 [29952/47500]	Loss: 0.5136	LR: 0.020000
Training Epoch: 20 [30208/47500]	Loss: 0.4398	LR: 0.020000
Training Epoch: 20 [30464/47500]	Loss: 0.5163	LR: 0.020000
Training Epoch: 20 [30720/47500]	Loss: 0.4625	LR: 0.020000
Training Epoch: 20 [30976/47500]	Loss: 0.5288	LR: 0.020000
Training Epoch: 20 [31232/47500]	Loss: 0.4934	LR: 0.020000
Training Epoch: 20 [31488/47500]	Loss: 0.5215	LR: 0.020000
Training Epoch: 20 [31744/47500]	Loss: 0.3799	LR: 0.020000
Training Epoch: 20 [32000/47500]	Loss: 0.4615	LR: 0.020000
Training Epoch: 20 [32256/47500]	Loss: 0.4778	LR: 0.020000
Training Epoch: 20 [32512/47500]	Loss: 0.4765	LR: 0.020000
Training Epoch: 20 [32768/47500]	Loss: 0.5605	LR: 0.020000
Training Epoch: 20 [33024/47500]	Loss: 0.4851	LR: 0.020000
Training Epoch: 20 [33280/47500]	Loss: 0.4293	LR: 0.020000
Training Epoch: 20 [33536/47500]	Loss: 0.4754	LR: 0.020000
Training Epoch: 20 [33792/47500]	Loss: 0.5879	LR: 0.020000
Training Epoch: 20 [34048/47500]	Loss: 0.4410	LR: 0.020000
Training Epoch: 20 [34304/47500]	Loss: 0.4318	LR: 0.020000
Training Epoch: 20 [34560/47500]	Loss: 0.4261	LR: 0.020000
Training Epoch: 20 [34816/47500]	Loss: 0.4582	LR: 0.020000
Training Epoch: 20 [35072/47500]	Loss: 0.5061	LR: 0.020000
Training Epoch: 20 [35328/47500]	Loss: 0.4153	LR: 0.020000
Training Epoch: 20 [35584/47500]	Loss: 0.5349	LR: 0.020000
Training Epoch: 20 [35840/47500]	Loss: 0.4575	LR: 0.020000
Training Epoch: 20 [36096/47500]	Loss: 0.5217	LR: 0.020000
Training Epoch: 20 [36352/47500]	Loss: 0.4380	LR: 0.020000
Training Epoch: 20 [36608/47500]	Loss: 0.3002	LR: 0.020000
Training Epoch: 20 [36864/47500]	Loss: 0.5270	LR: 0.020000
Training Epoch: 20 [37120/47500]	Loss: 0.5613	LR: 0.020000
Training Epoch: 20 [37376/47500]	Loss: 0.5969	LR: 0.020000
Training Epoch: 20 [37632/47500]	Loss: 0.3739	LR: 0.020000
Training Epoch: 20 [37888/47500]	Loss: 0.4268	LR: 0.020000
Training Epoch: 20 [38144/47500]	Loss: 0.5248	LR: 0.020000
Training Epoch: 20 [38400/47500]	Loss: 0.3803	LR: 0.020000
Training Epoch: 20 [38656/47500]	Loss: 0.5087	LR: 0.020000
Training Epoch: 20 [38912/47500]	Loss: 0.6093	LR: 0.020000
Training Epoch: 20 [39168/47500]	Loss: 0.4183	LR: 0.020000
Training Epoch: 20 [39424/47500]	Loss: 0.5086	LR: 0.020000
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Training Epoch: 20 [47500/47500]	Loss: 0.4743	LR: 0.020000
Epoch 20 - Average Train Loss: 0.4715, Train Accuracy: 0.8423
Epoch 20 training time consumed: 28.47s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0030, Accuracy: 0.7750, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_19h_58m_59s/ResNet18-Cifar20-seed5-ret50-20-best.pth
Training Epoch: 21 [256/47500]	Loss: 0.3817	LR: 0.020000
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Training Epoch: 21 [47500/47500]	Loss: 0.4955	LR: 0.020000
Epoch 21 - Average Train Loss: 0.4509, Train Accuracy: 0.8499
Epoch 21 training time consumed: 28.55s
Evaluating Network.....
Test set: Epoch: 21, Average loss: 0.0030, Accuracy: 0.7750, Time consumed:0.95s
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Training Epoch: 22 [17152/47500]	Loss: 0.4144	LR: 0.020000
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Training Epoch: 22 [20224/47500]	Loss: 0.3557	LR: 0.020000
Training Epoch: 22 [20480/47500]	Loss: 0.3939	LR: 0.020000
Training Epoch: 22 [20736/47500]	Loss: 0.4516	LR: 0.020000
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Training Epoch: 22 [21504/47500]	Loss: 0.4311	LR: 0.020000
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Training Epoch: 22 [22016/47500]	Loss: 0.4412	LR: 0.020000
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Training Epoch: 22 [22528/47500]	Loss: 0.4733	LR: 0.020000
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Training Epoch: 22 [27904/47500]	Loss: 0.3526	LR: 0.020000
Training Epoch: 22 [28160/47500]	Loss: 0.2931	LR: 0.020000
Training Epoch: 22 [28416/47500]	Loss: 0.4172	LR: 0.020000
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Training Epoch: 22 [28928/47500]	Loss: 0.4400	LR: 0.020000
Training Epoch: 22 [29184/47500]	Loss: 0.3500	LR: 0.020000
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Training Epoch: 22 [30720/47500]	Loss: 0.5340	LR: 0.020000
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Training Epoch: 22 [31488/47500]	Loss: 0.3553	LR: 0.020000
Training Epoch: 22 [31744/47500]	Loss: 0.3875	LR: 0.020000
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Training Epoch: 22 [32256/47500]	Loss: 0.4442	LR: 0.020000
Training Epoch: 22 [32512/47500]	Loss: 0.4297	LR: 0.020000
Training Epoch: 22 [32768/47500]	Loss: 0.5504	LR: 0.020000
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Training Epoch: 22 [35072/47500]	Loss: 0.3627	LR: 0.020000
Training Epoch: 22 [35328/47500]	Loss: 0.4588	LR: 0.020000
Training Epoch: 22 [35584/47500]	Loss: 0.4692	LR: 0.020000
Training Epoch: 22 [35840/47500]	Loss: 0.4056	LR: 0.020000
Training Epoch: 22 [36096/47500]	Loss: 0.4972	LR: 0.020000
Training Epoch: 22 [36352/47500]	Loss: 0.3963	LR: 0.020000
Training Epoch: 22 [36608/47500]	Loss: 0.3771	LR: 0.020000
Training Epoch: 22 [36864/47500]	Loss: 0.3821	LR: 0.020000
Training Epoch: 22 [37120/47500]	Loss: 0.4829	LR: 0.020000
Training Epoch: 22 [37376/47500]	Loss: 0.4210	LR: 0.020000
Training Epoch: 22 [37632/47500]	Loss: 0.4939	LR: 0.020000
Training Epoch: 22 [37888/47500]	Loss: 0.3250	LR: 0.020000
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Training Epoch: 22 [38656/47500]	Loss: 0.4527	LR: 0.020000
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Training Epoch: 22 [39424/47500]	Loss: 0.4511	LR: 0.020000
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Training Epoch: 22 [40192/47500]	Loss: 0.4772	LR: 0.020000
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Training Epoch: 22 [40960/47500]	Loss: 0.4267	LR: 0.020000
Training Epoch: 22 [41216/47500]	Loss: 0.4709	LR: 0.020000
Training Epoch: 22 [41472/47500]	Loss: 0.3385	LR: 0.020000
Training Epoch: 22 [41728/47500]	Loss: 0.4412	LR: 0.020000
Training Epoch: 22 [41984/47500]	Loss: 0.5266	LR: 0.020000
Training Epoch: 22 [42240/47500]	Loss: 0.5225	LR: 0.020000
Training Epoch: 22 [42496/47500]	Loss: 0.3938	LR: 0.020000
Training Epoch: 22 [42752/47500]	Loss: 0.3958	LR: 0.020000
Training Epoch: 22 [43008/47500]	Loss: 0.4381	LR: 0.020000
Training Epoch: 22 [43264/47500]	Loss: 0.3485	LR: 0.020000
Training Epoch: 22 [43520/47500]	Loss: 0.4530	LR: 0.020000
Training Epoch: 22 [43776/47500]	Loss: 0.3735	LR: 0.020000
Training Epoch: 22 [44032/47500]	Loss: 0.4673	LR: 0.020000
Training Epoch: 22 [44288/47500]	Loss: 0.4198	LR: 0.020000
Training Epoch: 22 [44544/47500]	Loss: 0.4413	LR: 0.020000
Training Epoch: 22 [44800/47500]	Loss: 0.4373	LR: 0.020000
Training Epoch: 22 [45056/47500]	Loss: 0.5113	LR: 0.020000
Training Epoch: 22 [45312/47500]	Loss: 0.4401	LR: 0.020000
Training Epoch: 22 [45568/47500]	Loss: 0.4983	LR: 0.020000
Training Epoch: 22 [45824/47500]	Loss: 0.4653	LR: 0.020000
Training Epoch: 22 [46080/47500]	Loss: 0.4360	LR: 0.020000
Training Epoch: 22 [46336/47500]	Loss: 0.6213	LR: 0.020000
Training Epoch: 22 [46592/47500]	Loss: 0.4375	LR: 0.020000
Training Epoch: 22 [46848/47500]	Loss: 0.5502	LR: 0.020000
Training Epoch: 22 [47104/47500]	Loss: 0.4390	LR: 0.020000
Training Epoch: 22 [47360/47500]	Loss: 0.5090	LR: 0.020000
Training Epoch: 22 [47500/47500]	Loss: 0.5958	LR: 0.020000
Epoch 22 - Average Train Loss: 0.4305, Train Accuracy: 0.8569
Epoch 22 training time consumed: 28.41s
Evaluating Network.....
Test set: Epoch: 22, Average loss: 0.0031, Accuracy: 0.7689, Time consumed:0.92s
Training Epoch: 23 [256/47500]	Loss: 0.3745	LR: 0.020000
Training Epoch: 23 [512/47500]	Loss: 0.4070	LR: 0.020000
Training Epoch: 23 [768/47500]	Loss: 0.4652	LR: 0.020000
Training Epoch: 23 [1024/47500]	Loss: 0.5080	LR: 0.020000
Training Epoch: 23 [1280/47500]	Loss: 0.3457	LR: 0.020000
Training Epoch: 23 [1536/47500]	Loss: 0.5742	LR: 0.020000
Training Epoch: 23 [1792/47500]	Loss: 0.3058	LR: 0.020000
Training Epoch: 23 [2048/47500]	Loss: 0.3412	LR: 0.020000
Training Epoch: 23 [2304/47500]	Loss: 0.3727	LR: 0.020000
Training Epoch: 23 [2560/47500]	Loss: 0.4286	LR: 0.020000
Training Epoch: 23 [2816/47500]	Loss: 0.3441	LR: 0.020000
Training Epoch: 23 [3072/47500]	Loss: 0.4097	LR: 0.020000
Training Epoch: 23 [3328/47500]	Loss: 0.4131	LR: 0.020000
Training Epoch: 23 [3584/47500]	Loss: 0.3741	LR: 0.020000
Training Epoch: 23 [3840/47500]	Loss: 0.4018	LR: 0.020000
Training Epoch: 23 [4096/47500]	Loss: 0.3857	LR: 0.020000
Training Epoch: 23 [4352/47500]	Loss: 0.3538	LR: 0.020000
Training Epoch: 23 [4608/47500]	Loss: 0.3894	LR: 0.020000
Training Epoch: 23 [4864/47500]	Loss: 0.4638	LR: 0.020000
Training Epoch: 23 [5120/47500]	Loss: 0.3233	LR: 0.020000
Training Epoch: 23 [5376/47500]	Loss: 0.3889	LR: 0.020000
Training Epoch: 23 [5632/47500]	Loss: 0.4955	LR: 0.020000
Training Epoch: 23 [5888/47500]	Loss: 0.4386	LR: 0.020000
Training Epoch: 23 [6144/47500]	Loss: 0.3256	LR: 0.020000
Training Epoch: 23 [6400/47500]	Loss: 0.4120	LR: 0.020000
Training Epoch: 23 [6656/47500]	Loss: 0.3795	LR: 0.020000
Training Epoch: 23 [6912/47500]	Loss: 0.4436	LR: 0.020000
Training Epoch: 23 [7168/47500]	Loss: 0.4041	LR: 0.020000
Training Epoch: 23 [7424/47500]	Loss: 0.4084	LR: 0.020000
Training Epoch: 23 [7680/47500]	Loss: 0.3512	LR: 0.020000
Training Epoch: 23 [7936/47500]	Loss: 0.4004	LR: 0.020000
Training Epoch: 23 [8192/47500]	Loss: 0.3150	LR: 0.020000
Training Epoch: 23 [8448/47500]	Loss: 0.3356	LR: 0.020000
Training Epoch: 23 [8704/47500]	Loss: 0.2902	LR: 0.020000
Training Epoch: 23 [8960/47500]	Loss: 0.4545	LR: 0.020000
Training Epoch: 23 [9216/47500]	Loss: 0.4051	LR: 0.020000
Training Epoch: 23 [9472/47500]	Loss: 0.4411	LR: 0.020000
Training Epoch: 23 [9728/47500]	Loss: 0.3564	LR: 0.020000
Training Epoch: 23 [9984/47500]	Loss: 0.3553	LR: 0.020000
Training Epoch: 23 [10240/47500]	Loss: 0.4711	LR: 0.020000
Training Epoch: 23 [10496/47500]	Loss: 0.4530	LR: 0.020000
Training Epoch: 23 [10752/47500]	Loss: 0.4001	LR: 0.020000
Training Epoch: 23 [11008/47500]	Loss: 0.3993	LR: 0.020000
Training Epoch: 23 [11264/47500]	Loss: 0.5194	LR: 0.020000
Training Epoch: 23 [11520/47500]	Loss: 0.3947	LR: 0.020000
Training Epoch: 23 [11776/47500]	Loss: 0.4145	LR: 0.020000
Training Epoch: 23 [12032/47500]	Loss: 0.3789	LR: 0.020000
Training Epoch: 23 [12288/47500]	Loss: 0.5375	LR: 0.020000
Training Epoch: 23 [12544/47500]	Loss: 0.4427	LR: 0.020000
Training Epoch: 23 [12800/47500]	Loss: 0.3458	LR: 0.020000
Training Epoch: 23 [13056/47500]	Loss: 0.3608	LR: 0.020000
Training Epoch: 23 [13312/47500]	Loss: 0.3921	LR: 0.020000
Training Epoch: 23 [13568/47500]	Loss: 0.3299	LR: 0.020000
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Training Epoch: 23 [15616/47500]	Loss: 0.4524	LR: 0.020000
Training Epoch: 23 [15872/47500]	Loss: 0.3984	LR: 0.020000
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Training Epoch: 23 [16640/47500]	Loss: 0.4017	LR: 0.020000
Training Epoch: 23 [16896/47500]	Loss: 0.3912	LR: 0.020000
Training Epoch: 23 [17152/47500]	Loss: 0.4792	LR: 0.020000
Training Epoch: 23 [17408/47500]	Loss: 0.3858	LR: 0.020000
Training Epoch: 23 [17664/47500]	Loss: 0.4800	LR: 0.020000
Training Epoch: 23 [17920/47500]	Loss: 0.4865	LR: 0.020000
Training Epoch: 23 [18176/47500]	Loss: 0.4758	LR: 0.020000
Training Epoch: 23 [18432/47500]	Loss: 0.4683	LR: 0.020000
Training Epoch: 23 [18688/47500]	Loss: 0.4190	LR: 0.020000
Training Epoch: 23 [18944/47500]	Loss: 0.3407	LR: 0.020000
Training Epoch: 23 [19200/47500]	Loss: 0.4887	LR: 0.020000
Training Epoch: 23 [19456/47500]	Loss: 0.5441	LR: 0.020000
Training Epoch: 23 [19712/47500]	Loss: 0.3566	LR: 0.020000
Training Epoch: 23 [19968/47500]	Loss: 0.4248	LR: 0.020000
Training Epoch: 23 [20224/47500]	Loss: 0.4127	LR: 0.020000
Training Epoch: 23 [20480/47500]	Loss: 0.3957	LR: 0.020000
Training Epoch: 23 [20736/47500]	Loss: 0.4202	LR: 0.020000
Training Epoch: 23 [20992/47500]	Loss: 0.4806	LR: 0.020000
Training Epoch: 23 [21248/47500]	Loss: 0.4042	LR: 0.020000
Training Epoch: 23 [21504/47500]	Loss: 0.3303	LR: 0.020000
Training Epoch: 23 [21760/47500]	Loss: 0.5110	LR: 0.020000
Training Epoch: 23 [22016/47500]	Loss: 0.3000	LR: 0.020000
Training Epoch: 23 [22272/47500]	Loss: 0.3736	LR: 0.020000
Training Epoch: 23 [22528/47500]	Loss: 0.4855	LR: 0.020000
Training Epoch: 23 [22784/47500]	Loss: 0.4017	LR: 0.020000
Training Epoch: 23 [23040/47500]	Loss: 0.3939	LR: 0.020000
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Training Epoch: 23 [23808/47500]	Loss: 0.3893	LR: 0.020000
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Training Epoch: 23 [24320/47500]	Loss: 0.3675	LR: 0.020000
Training Epoch: 23 [24576/47500]	Loss: 0.4632	LR: 0.020000
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Training Epoch: 23 [26368/47500]	Loss: 0.5016	LR: 0.020000
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Training Epoch: 23 [28416/47500]	Loss: 0.3805	LR: 0.020000
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Training Epoch: 23 [36352/47500]	Loss: 0.5505	LR: 0.020000
Training Epoch: 23 [36608/47500]	Loss: 0.3996	LR: 0.020000
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Training Epoch: 23 [37120/47500]	Loss: 0.4364	LR: 0.020000
Training Epoch: 23 [37376/47500]	Loss: 0.3403	LR: 0.020000
Training Epoch: 23 [37632/47500]	Loss: 0.4096	LR: 0.020000
Training Epoch: 23 [37888/47500]	Loss: 0.4477	LR: 0.020000
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Training Epoch: 23 [38656/47500]	Loss: 0.4977	LR: 0.020000
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Training Epoch: 23 [39168/47500]	Loss: 0.3977	LR: 0.020000
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Training Epoch: 23 [39680/47500]	Loss: 0.3950	LR: 0.020000
Training Epoch: 23 [39936/47500]	Loss: 0.4696	LR: 0.020000
Training Epoch: 23 [40192/47500]	Loss: 0.4125	LR: 0.020000
Training Epoch: 23 [40448/47500]	Loss: 0.5088	LR: 0.020000
Training Epoch: 23 [40704/47500]	Loss: 0.3859	LR: 0.020000
Training Epoch: 23 [40960/47500]	Loss: 0.4040	LR: 0.020000
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Training Epoch: 23 [42752/47500]	Loss: 0.3857	LR: 0.020000
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Training Epoch: 23 [47500/47500]	Loss: 0.4042	LR: 0.020000
Epoch 23 - Average Train Loss: 0.4174, Train Accuracy: 0.8633
Epoch 23 training time consumed: 28.38s
Evaluating Network.....
Test set: Epoch: 23, Average loss: 0.0030, Accuracy: 0.7780, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_19h_58m_59s/ResNet18-Cifar20-seed5-ret50-23-best.pth
Training Epoch: 24 [256/47500]	Loss: 0.2789	LR: 0.020000
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Training Epoch: 24 [47500/47500]	Loss: 0.5264	LR: 0.020000
Epoch 24 - Average Train Loss: 0.4038, Train Accuracy: 0.8660
Epoch 24 training time consumed: 28.38s
Evaluating Network.....
Test set: Epoch: 24, Average loss: 0.0032, Accuracy: 0.7612, Time consumed:0.94s
Training Epoch: 25 [256/47500]	Loss: 0.3591	LR: 0.020000
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Training Epoch: 25 [19968/47500]	Loss: 0.3717	LR: 0.020000
Training Epoch: 25 [20224/47500]	Loss: 0.3688	LR: 0.020000
Training Epoch: 25 [20480/47500]	Loss: 0.3447	LR: 0.020000
Training Epoch: 25 [20736/47500]	Loss: 0.3695	LR: 0.020000
Training Epoch: 25 [20992/47500]	Loss: 0.4189	LR: 0.020000
Training Epoch: 25 [21248/47500]	Loss: 0.3786	LR: 0.020000
Training Epoch: 25 [21504/47500]	Loss: 0.4240	LR: 0.020000
Training Epoch: 25 [21760/47500]	Loss: 0.3710	LR: 0.020000
Training Epoch: 25 [22016/47500]	Loss: 0.3813	LR: 0.020000
Training Epoch: 25 [22272/47500]	Loss: 0.4781	LR: 0.020000
Training Epoch: 25 [22528/47500]	Loss: 0.4164	LR: 0.020000
Training Epoch: 25 [22784/47500]	Loss: 0.3273	LR: 0.020000
Training Epoch: 25 [23040/47500]	Loss: 0.4172	LR: 0.020000
Training Epoch: 25 [23296/47500]	Loss: 0.4318	LR: 0.020000
Training Epoch: 25 [23552/47500]	Loss: 0.3762	LR: 0.020000
Training Epoch: 25 [23808/47500]	Loss: 0.3526	LR: 0.020000
Training Epoch: 25 [24064/47500]	Loss: 0.3365	LR: 0.020000
Training Epoch: 25 [24320/47500]	Loss: 0.4279	LR: 0.020000
Training Epoch: 25 [24576/47500]	Loss: 0.4628	LR: 0.020000
Training Epoch: 25 [24832/47500]	Loss: 0.3399	LR: 0.020000
Training Epoch: 25 [25088/47500]	Loss: 0.3676	LR: 0.020000
Training Epoch: 25 [25344/47500]	Loss: 0.3313	LR: 0.020000
Training Epoch: 25 [25600/47500]	Loss: 0.4164	LR: 0.020000
Training Epoch: 25 [25856/47500]	Loss: 0.4548	LR: 0.020000
Training Epoch: 25 [26112/47500]	Loss: 0.3966	LR: 0.020000
Training Epoch: 25 [26368/47500]	Loss: 0.3370	LR: 0.020000
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Training Epoch: 25 [27136/47500]	Loss: 0.4142	LR: 0.020000
Training Epoch: 25 [27392/47500]	Loss: 0.3423	LR: 0.020000
Training Epoch: 25 [27648/47500]	Loss: 0.3652	LR: 0.020000
Training Epoch: 25 [27904/47500]	Loss: 0.4713	LR: 0.020000
Training Epoch: 25 [28160/47500]	Loss: 0.3831	LR: 0.020000
Training Epoch: 25 [28416/47500]	Loss: 0.4451	LR: 0.020000
Training Epoch: 25 [28672/47500]	Loss: 0.3869	LR: 0.020000
Training Epoch: 25 [28928/47500]	Loss: 0.4226	LR: 0.020000
Training Epoch: 25 [29184/47500]	Loss: 0.4133	LR: 0.020000
Training Epoch: 25 [29440/47500]	Loss: 0.3737	LR: 0.020000
Training Epoch: 25 [29696/47500]	Loss: 0.4611	LR: 0.020000
Training Epoch: 25 [29952/47500]	Loss: 0.3379	LR: 0.020000
Training Epoch: 25 [30208/47500]	Loss: 0.4158	LR: 0.020000
Training Epoch: 25 [30464/47500]	Loss: 0.4351	LR: 0.020000
Training Epoch: 25 [30720/47500]	Loss: 0.3352	LR: 0.020000
Training Epoch: 25 [30976/47500]	Loss: 0.4443	LR: 0.020000
Training Epoch: 25 [31232/47500]	Loss: 0.3720	LR: 0.020000
Training Epoch: 25 [31488/47500]	Loss: 0.3644	LR: 0.020000
Training Epoch: 25 [31744/47500]	Loss: 0.3893	LR: 0.020000
Training Epoch: 25 [32000/47500]	Loss: 0.4915	LR: 0.020000
Training Epoch: 25 [32256/47500]	Loss: 0.4398	LR: 0.020000
Training Epoch: 25 [32512/47500]	Loss: 0.4319	LR: 0.020000
Training Epoch: 25 [32768/47500]	Loss: 0.3671	LR: 0.020000
Training Epoch: 25 [33024/47500]	Loss: 0.3818	LR: 0.020000
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Training Epoch: 25 [33536/47500]	Loss: 0.2792	LR: 0.020000
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Training Epoch: 25 [34560/47500]	Loss: 0.5176	LR: 0.020000
Training Epoch: 25 [34816/47500]	Loss: 0.4100	LR: 0.020000
Training Epoch: 25 [35072/47500]	Loss: 0.4998	LR: 0.020000
Training Epoch: 25 [35328/47500]	Loss: 0.3728	LR: 0.020000
Training Epoch: 25 [35584/47500]	Loss: 0.4628	LR: 0.020000
Training Epoch: 25 [35840/47500]	Loss: 0.4359	LR: 0.020000
Training Epoch: 25 [36096/47500]	Loss: 0.3588	LR: 0.020000
Training Epoch: 25 [36352/47500]	Loss: 0.3809	LR: 0.020000
Training Epoch: 25 [36608/47500]	Loss: 0.4961	LR: 0.020000
Training Epoch: 25 [36864/47500]	Loss: 0.4768	LR: 0.020000
Training Epoch: 25 [37120/47500]	Loss: 0.4424	LR: 0.020000
Training Epoch: 25 [37376/47500]	Loss: 0.3098	LR: 0.020000
Training Epoch: 25 [37632/47500]	Loss: 0.3741	LR: 0.020000
Training Epoch: 25 [37888/47500]	Loss: 0.3963	LR: 0.020000
Training Epoch: 25 [38144/47500]	Loss: 0.3369	LR: 0.020000
Training Epoch: 25 [38400/47500]	Loss: 0.3747	LR: 0.020000
Training Epoch: 25 [38656/47500]	Loss: 0.3830	LR: 0.020000
Training Epoch: 25 [38912/47500]	Loss: 0.4017	LR: 0.020000
Training Epoch: 25 [39168/47500]	Loss: 0.3889	LR: 0.020000
Training Epoch: 25 [39424/47500]	Loss: 0.3925	LR: 0.020000
Training Epoch: 25 [39680/47500]	Loss: 0.3792	LR: 0.020000
Training Epoch: 25 [39936/47500]	Loss: 0.4280	LR: 0.020000
Training Epoch: 25 [40192/47500]	Loss: 0.4339	LR: 0.020000
Training Epoch: 25 [40448/47500]	Loss: 0.4690	LR: 0.020000
Training Epoch: 25 [40704/47500]	Loss: 0.3994	LR: 0.020000
Training Epoch: 25 [40960/47500]	Loss: 0.4981	LR: 0.020000
Training Epoch: 25 [41216/47500]	Loss: 0.5390	LR: 0.020000
Training Epoch: 25 [41472/47500]	Loss: 0.4102	LR: 0.020000
Training Epoch: 25 [41728/47500]	Loss: 0.4541	LR: 0.020000
Training Epoch: 25 [41984/47500]	Loss: 0.4336	LR: 0.020000
Training Epoch: 25 [42240/47500]	Loss: 0.3799	LR: 0.020000
Training Epoch: 25 [42496/47500]	Loss: 0.4319	LR: 0.020000
Training Epoch: 25 [42752/47500]	Loss: 0.3855	LR: 0.020000
Training Epoch: 25 [43008/47500]	Loss: 0.3728	LR: 0.020000
Training Epoch: 25 [43264/47500]	Loss: 0.4257	LR: 0.020000
Training Epoch: 25 [43520/47500]	Loss: 0.4612	LR: 0.020000
Training Epoch: 25 [43776/47500]	Loss: 0.3643	LR: 0.020000
Training Epoch: 25 [44032/47500]	Loss: 0.4820	LR: 0.020000
Training Epoch: 25 [44288/47500]	Loss: 0.4185	LR: 0.020000
Training Epoch: 25 [44544/47500]	Loss: 0.2988	LR: 0.020000
Training Epoch: 25 [44800/47500]	Loss: 0.5761	LR: 0.020000
Training Epoch: 25 [45056/47500]	Loss: 0.3885	LR: 0.020000
Training Epoch: 25 [45312/47500]	Loss: 0.4144	LR: 0.020000
Training Epoch: 25 [45568/47500]	Loss: 0.3398	LR: 0.020000
Training Epoch: 25 [45824/47500]	Loss: 0.3618	LR: 0.020000
Training Epoch: 25 [46080/47500]	Loss: 0.4383	LR: 0.020000
Training Epoch: 25 [46336/47500]	Loss: 0.3646	LR: 0.020000
Training Epoch: 25 [46592/47500]	Loss: 0.4563	LR: 0.020000
Training Epoch: 25 [46848/47500]	Loss: 0.4063	LR: 0.020000
Training Epoch: 25 [47104/47500]	Loss: 0.4337	LR: 0.020000
Training Epoch: 25 [47360/47500]	Loss: 0.5037	LR: 0.020000
Training Epoch: 25 [47500/47500]	Loss: 0.3341	LR: 0.020000
Epoch 25 - Average Train Loss: 0.3948, Train Accuracy: 0.8679
Epoch 25 training time consumed: 28.42s
Evaluating Network.....
Test set: Epoch: 25, Average loss: 0.0031, Accuracy: 0.7732, Time consumed:0.88s
Training Epoch: 26 [256/47500]	Loss: 0.3136	LR: 0.020000
Training Epoch: 26 [512/47500]	Loss: 0.3413	LR: 0.020000
Training Epoch: 26 [768/47500]	Loss: 0.2876	LR: 0.020000
Training Epoch: 26 [1024/47500]	Loss: 0.3266	LR: 0.020000
Training Epoch: 26 [1280/47500]	Loss: 0.3028	LR: 0.020000
Training Epoch: 26 [1536/47500]	Loss: 0.3697	LR: 0.020000
Training Epoch: 26 [1792/47500]	Loss: 0.4194	LR: 0.020000
Training Epoch: 26 [2048/47500]	Loss: 0.2746	LR: 0.020000
Training Epoch: 26 [2304/47500]	Loss: 0.3509	LR: 0.020000
Training Epoch: 26 [2560/47500]	Loss: 0.2933	LR: 0.020000
Training Epoch: 26 [2816/47500]	Loss: 0.3478	LR: 0.020000
Training Epoch: 26 [3072/47500]	Loss: 0.3481	LR: 0.020000
Training Epoch: 26 [3328/47500]	Loss: 0.3711	LR: 0.020000
Training Epoch: 26 [3584/47500]	Loss: 0.4269	LR: 0.020000
Training Epoch: 26 [3840/47500]	Loss: 0.3848	LR: 0.020000
Training Epoch: 26 [4096/47500]	Loss: 0.2591	LR: 0.020000
Training Epoch: 26 [4352/47500]	Loss: 0.3298	LR: 0.020000
Training Epoch: 26 [4608/47500]	Loss: 0.3659	LR: 0.020000
Training Epoch: 26 [4864/47500]	Loss: 0.3287	LR: 0.020000
Training Epoch: 26 [5120/47500]	Loss: 0.4506	LR: 0.020000
Training Epoch: 26 [5376/47500]	Loss: 0.3446	LR: 0.020000
Training Epoch: 26 [5632/47500]	Loss: 0.3653	LR: 0.020000
Training Epoch: 26 [5888/47500]	Loss: 0.2140	LR: 0.020000
Training Epoch: 26 [6144/47500]	Loss: 0.4147	LR: 0.020000
Training Epoch: 26 [6400/47500]	Loss: 0.3122	LR: 0.020000
Training Epoch: 26 [6656/47500]	Loss: 0.3249	LR: 0.020000
Training Epoch: 26 [6912/47500]	Loss: 0.3486	LR: 0.020000
Training Epoch: 26 [7168/47500]	Loss: 0.3163	LR: 0.020000
Training Epoch: 26 [7424/47500]	Loss: 0.4170	LR: 0.020000
Training Epoch: 26 [7680/47500]	Loss: 0.3738	LR: 0.020000
Training Epoch: 26 [7936/47500]	Loss: 0.3467	LR: 0.020000
Training Epoch: 26 [8192/47500]	Loss: 0.4005	LR: 0.020000
Training Epoch: 26 [8448/47500]	Loss: 0.3062	LR: 0.020000
Training Epoch: 26 [8704/47500]	Loss: 0.2843	LR: 0.020000
Training Epoch: 26 [8960/47500]	Loss: 0.4195	LR: 0.020000
Training Epoch: 26 [9216/47500]	Loss: 0.2947	LR: 0.020000
Training Epoch: 26 [9472/47500]	Loss: 0.2641	LR: 0.020000
Training Epoch: 26 [9728/47500]	Loss: 0.3673	LR: 0.020000
Training Epoch: 26 [9984/47500]	Loss: 0.4297	LR: 0.020000
Training Epoch: 26 [10240/47500]	Loss: 0.4527	LR: 0.020000
Training Epoch: 26 [10496/47500]	Loss: 0.2683	LR: 0.020000
Training Epoch: 26 [10752/47500]	Loss: 0.3970	LR: 0.020000
Training Epoch: 26 [11008/47500]	Loss: 0.3505	LR: 0.020000
Training Epoch: 26 [11264/47500]	Loss: 0.3201	LR: 0.020000
Training Epoch: 26 [11520/47500]	Loss: 0.3130	LR: 0.020000
Training Epoch: 26 [11776/47500]	Loss: 0.2645	LR: 0.020000
Training Epoch: 26 [12032/47500]	Loss: 0.3405	LR: 0.020000
Training Epoch: 26 [12288/47500]	Loss: 0.4259	LR: 0.020000
Training Epoch: 26 [12544/47500]	Loss: 0.3736	LR: 0.020000
Training Epoch: 26 [12800/47500]	Loss: 0.3660	LR: 0.020000
Training Epoch: 26 [13056/47500]	Loss: 0.3505	LR: 0.020000
Training Epoch: 26 [13312/47500]	Loss: 0.3038	LR: 0.020000
Training Epoch: 26 [13568/47500]	Loss: 0.3284	LR: 0.020000
Training Epoch: 26 [13824/47500]	Loss: 0.2867	LR: 0.020000
Training Epoch: 26 [14080/47500]	Loss: 0.3570	LR: 0.020000
Training Epoch: 26 [14336/47500]	Loss: 0.4074	LR: 0.020000
Training Epoch: 26 [14592/47500]	Loss: 0.3591	LR: 0.020000
Training Epoch: 26 [14848/47500]	Loss: 0.2525	LR: 0.020000
Training Epoch: 26 [15104/47500]	Loss: 0.3540	LR: 0.020000
Training Epoch: 26 [15360/47500]	Loss: 0.3967	LR: 0.020000
Training Epoch: 26 [15616/47500]	Loss: 0.3533	LR: 0.020000
Training Epoch: 26 [15872/47500]	Loss: 0.4162	LR: 0.020000
Training Epoch: 26 [16128/47500]	Loss: 0.3314	LR: 0.020000
Training Epoch: 26 [16384/47500]	Loss: 0.3577	LR: 0.020000
Training Epoch: 26 [16640/47500]	Loss: 0.4045	LR: 0.020000
Training Epoch: 26 [16896/47500]	Loss: 0.4063	LR: 0.020000
Training Epoch: 26 [17152/47500]	Loss: 0.3325	LR: 0.020000
Training Epoch: 26 [17408/47500]	Loss: 0.3534	LR: 0.020000
Training Epoch: 26 [17664/47500]	Loss: 0.3335	LR: 0.020000
Training Epoch: 26 [17920/47500]	Loss: 0.3812	LR: 0.020000
Training Epoch: 26 [18176/47500]	Loss: 0.3296	LR: 0.020000
Training Epoch: 26 [18432/47500]	Loss: 0.3437	LR: 0.020000
Training Epoch: 26 [18688/47500]	Loss: 0.3288	LR: 0.020000
Training Epoch: 26 [18944/47500]	Loss: 0.3522	LR: 0.020000
Training Epoch: 26 [19200/47500]	Loss: 0.4661	LR: 0.020000
Training Epoch: 26 [19456/47500]	Loss: 0.3243	LR: 0.020000
Training Epoch: 26 [19712/47500]	Loss: 0.3294	LR: 0.020000
Training Epoch: 26 [19968/47500]	Loss: 0.3885	LR: 0.020000
Training Epoch: 26 [20224/47500]	Loss: 0.3490	LR: 0.020000
Training Epoch: 26 [20480/47500]	Loss: 0.2977	LR: 0.020000
Training Epoch: 26 [20736/47500]	Loss: 0.3855	LR: 0.020000
Training Epoch: 26 [20992/47500]	Loss: 0.3562	LR: 0.020000
Training Epoch: 26 [21248/47500]	Loss: 0.3131	LR: 0.020000
Training Epoch: 26 [21504/47500]	Loss: 0.3819	LR: 0.020000
Training Epoch: 26 [21760/47500]	Loss: 0.4533	LR: 0.020000
Training Epoch: 26 [22016/47500]	Loss: 0.3719	LR: 0.020000
Training Epoch: 26 [22272/47500]	Loss: 0.3157	LR: 0.020000
Training Epoch: 26 [22528/47500]	Loss: 0.3470	LR: 0.020000
Training Epoch: 26 [22784/47500]	Loss: 0.3340	LR: 0.020000
Training Epoch: 26 [23040/47500]	Loss: 0.3925	LR: 0.020000
Training Epoch: 26 [23296/47500]	Loss: 0.3491	LR: 0.020000
Training Epoch: 26 [23552/47500]	Loss: 0.3984	LR: 0.020000
Training Epoch: 26 [23808/47500]	Loss: 0.3302	LR: 0.020000
Training Epoch: 26 [24064/47500]	Loss: 0.4271	LR: 0.020000
Training Epoch: 26 [24320/47500]	Loss: 0.3349	LR: 0.020000
Training Epoch: 26 [24576/47500]	Loss: 0.2950	LR: 0.020000
Training Epoch: 26 [24832/47500]	Loss: 0.3650	LR: 0.020000
Training Epoch: 26 [25088/47500]	Loss: 0.3562	LR: 0.020000
Training Epoch: 26 [25344/47500]	Loss: 0.3987	LR: 0.020000
Training Epoch: 26 [25600/47500]	Loss: 0.4648	LR: 0.020000
Training Epoch: 26 [25856/47500]	Loss: 0.3517	LR: 0.020000
Training Epoch: 26 [26112/47500]	Loss: 0.4219	LR: 0.020000
Training Epoch: 26 [26368/47500]	Loss: 0.3378	LR: 0.020000
Training Epoch: 26 [26624/47500]	Loss: 0.3309	LR: 0.020000
Training Epoch: 26 [26880/47500]	Loss: 0.3299	LR: 0.020000
Training Epoch: 26 [27136/47500]	Loss: 0.4345	LR: 0.020000
Training Epoch: 26 [27392/47500]	Loss: 0.3630	LR: 0.020000
Training Epoch: 26 [27648/47500]	Loss: 0.4470	LR: 0.020000
Training Epoch: 26 [27904/47500]	Loss: 0.3437	LR: 0.020000
Training Epoch: 26 [28160/47500]	Loss: 0.3412	LR: 0.020000
Training Epoch: 26 [28416/47500]	Loss: 0.3372	LR: 0.020000
Training Epoch: 26 [28672/47500]	Loss: 0.3890	LR: 0.020000
Training Epoch: 26 [28928/47500]	Loss: 0.3505	LR: 0.020000
Training Epoch: 26 [29184/47500]	Loss: 0.4436	LR: 0.020000
Training Epoch: 26 [29440/47500]	Loss: 0.3588	LR: 0.020000
Training Epoch: 26 [29696/47500]	Loss: 0.2886	LR: 0.020000
Training Epoch: 26 [29952/47500]	Loss: 0.3918	LR: 0.020000
Training Epoch: 26 [30208/47500]	Loss: 0.4042	LR: 0.020000
Training Epoch: 26 [30464/47500]	Loss: 0.3550	LR: 0.020000
Training Epoch: 26 [30720/47500]	Loss: 0.3811	LR: 0.020000
Training Epoch: 26 [30976/47500]	Loss: 0.4601	LR: 0.020000
Training Epoch: 26 [31232/47500]	Loss: 0.3957	LR: 0.020000
Training Epoch: 26 [31488/47500]	Loss: 0.3413	LR: 0.020000
Training Epoch: 26 [31744/47500]	Loss: 0.3532	LR: 0.020000
Training Epoch: 26 [32000/47500]	Loss: 0.4535	LR: 0.020000
Training Epoch: 26 [32256/47500]	Loss: 0.3608	LR: 0.020000
Training Epoch: 26 [32512/47500]	Loss: 0.3679	LR: 0.020000
Training Epoch: 26 [32768/47500]	Loss: 0.3457	LR: 0.020000
Training Epoch: 26 [33024/47500]	Loss: 0.3893	LR: 0.020000
Training Epoch: 26 [33280/47500]	Loss: 0.4341	LR: 0.020000
Training Epoch: 26 [33536/47500]	Loss: 0.3850	LR: 0.020000
Training Epoch: 26 [33792/47500]	Loss: 0.4286	LR: 0.020000
Training Epoch: 26 [34048/47500]	Loss: 0.4059	LR: 0.020000
Training Epoch: 26 [34304/47500]	Loss: 0.5091	LR: 0.020000
Training Epoch: 26 [34560/47500]	Loss: 0.3222	LR: 0.020000
Training Epoch: 26 [34816/47500]	Loss: 0.3523	LR: 0.020000
Training Epoch: 26 [35072/47500]	Loss: 0.4851	LR: 0.020000
Training Epoch: 26 [35328/47500]	Loss: 0.3980	LR: 0.020000
Training Epoch: 26 [35584/47500]	Loss: 0.4956	LR: 0.020000
Training Epoch: 26 [35840/47500]	Loss: 0.3844	LR: 0.020000
Training Epoch: 26 [36096/47500]	Loss: 0.3980	LR: 0.020000
Training Epoch: 26 [36352/47500]	Loss: 0.3823	LR: 0.020000
Training Epoch: 26 [36608/47500]	Loss: 0.3347	LR: 0.020000
Training Epoch: 26 [36864/47500]	Loss: 0.4324	LR: 0.020000
Training Epoch: 26 [37120/47500]	Loss: 0.3701	LR: 0.020000
Training Epoch: 26 [37376/47500]	Loss: 0.3190	LR: 0.020000
Training Epoch: 26 [37632/47500]	Loss: 0.3368	LR: 0.020000
Training Epoch: 26 [37888/47500]	Loss: 0.3135	LR: 0.020000
Training Epoch: 26 [38144/47500]	Loss: 0.5030	LR: 0.020000
Training Epoch: 26 [38400/47500]	Loss: 0.4053	LR: 0.020000
Training Epoch: 26 [38656/47500]	Loss: 0.4338	LR: 0.020000
Training Epoch: 26 [38912/47500]	Loss: 0.3196	LR: 0.020000
Training Epoch: 26 [39168/47500]	Loss: 0.3719	LR: 0.020000
Training Epoch: 26 [39424/47500]	Loss: 0.4115	LR: 0.020000
Training Epoch: 26 [39680/47500]	Loss: 0.3998	LR: 0.020000
Training Epoch: 26 [39936/47500]	Loss: 0.4841	LR: 0.020000
Training Epoch: 26 [40192/47500]	Loss: 0.4813	LR: 0.020000
Training Epoch: 26 [40448/47500]	Loss: 0.4171	LR: 0.020000
Training Epoch: 26 [40704/47500]	Loss: 0.4171	LR: 0.020000
Training Epoch: 26 [40960/47500]	Loss: 0.4028	LR: 0.020000
Training Epoch: 26 [41216/47500]	Loss: 0.5661	LR: 0.020000
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Training Epoch: 26 [41728/47500]	Loss: 0.3984	LR: 0.020000
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Training Epoch: 26 [42496/47500]	Loss: 0.3298	LR: 0.020000
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Training Epoch: 26 [43264/47500]	Loss: 0.3312	LR: 0.020000
Training Epoch: 26 [43520/47500]	Loss: 0.4801	LR: 0.020000
Training Epoch: 26 [43776/47500]	Loss: 0.3649	LR: 0.020000
Training Epoch: 26 [44032/47500]	Loss: 0.3187	LR: 0.020000
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Training Epoch: 26 [44544/47500]	Loss: 0.3361	LR: 0.020000
Training Epoch: 26 [44800/47500]	Loss: 0.4300	LR: 0.020000
Training Epoch: 26 [45056/47500]	Loss: 0.4004	LR: 0.020000
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Training Epoch: 26 [46080/47500]	Loss: 0.3865	LR: 0.020000
Training Epoch: 26 [46336/47500]	Loss: 0.4674	LR: 0.020000
Training Epoch: 26 [46592/47500]	Loss: 0.4549	LR: 0.020000
Training Epoch: 26 [46848/47500]	Loss: 0.4341	LR: 0.020000
Training Epoch: 26 [47104/47500]	Loss: 0.5193	LR: 0.020000
Training Epoch: 26 [47360/47500]	Loss: 0.4139	LR: 0.020000
Training Epoch: 26 [47500/47500]	Loss: 0.4881	LR: 0.020000
Epoch 26 - Average Train Loss: 0.3719, Train Accuracy: 0.8756
Epoch 26 training time consumed: 28.34s
Evaluating Network.....
Test set: Epoch: 26, Average loss: 0.0032, Accuracy: 0.7718, Time consumed:0.92s
Training Epoch: 27 [256/47500]	Loss: 0.2951	LR: 0.020000
Training Epoch: 27 [512/47500]	Loss: 0.4254	LR: 0.020000
Training Epoch: 27 [768/47500]	Loss: 0.2914	LR: 0.020000
Training Epoch: 27 [1024/47500]	Loss: 0.3853	LR: 0.020000
Training Epoch: 27 [1280/47500]	Loss: 0.3756	LR: 0.020000
Training Epoch: 27 [1536/47500]	Loss: 0.3625	LR: 0.020000
Training Epoch: 27 [1792/47500]	Loss: 0.3956	LR: 0.020000
Training Epoch: 27 [2048/47500]	Loss: 0.3909	LR: 0.020000
Training Epoch: 27 [2304/47500]	Loss: 0.3385	LR: 0.020000
Training Epoch: 27 [2560/47500]	Loss: 0.4301	LR: 0.020000
Training Epoch: 27 [2816/47500]	Loss: 0.3373	LR: 0.020000
Training Epoch: 27 [3072/47500]	Loss: 0.2762	LR: 0.020000
Training Epoch: 27 [3328/47500]	Loss: 0.3102	LR: 0.020000
Training Epoch: 27 [3584/47500]	Loss: 0.3776	LR: 0.020000
Training Epoch: 27 [3840/47500]	Loss: 0.3875	LR: 0.020000
Training Epoch: 27 [4096/47500]	Loss: 0.2600	LR: 0.020000
Training Epoch: 27 [4352/47500]	Loss: 0.3522	LR: 0.020000
Training Epoch: 27 [4608/47500]	Loss: 0.4239	LR: 0.020000
Training Epoch: 27 [4864/47500]	Loss: 0.3536	LR: 0.020000
Training Epoch: 27 [5120/47500]	Loss: 0.3142	LR: 0.020000
Training Epoch: 27 [5376/47500]	Loss: 0.3300	LR: 0.020000
Training Epoch: 27 [5632/47500]	Loss: 0.3528	LR: 0.020000
Training Epoch: 27 [5888/47500]	Loss: 0.3413	LR: 0.020000
Training Epoch: 27 [6144/47500]	Loss: 0.3720	LR: 0.020000
Training Epoch: 27 [6400/47500]	Loss: 0.3039	LR: 0.020000
Training Epoch: 27 [6656/47500]	Loss: 0.3154	LR: 0.020000
Training Epoch: 27 [6912/47500]	Loss: 0.4116	LR: 0.020000
Training Epoch: 27 [7168/47500]	Loss: 0.3045	LR: 0.020000
Training Epoch: 27 [7424/47500]	Loss: 0.3014	LR: 0.020000
Training Epoch: 27 [7680/47500]	Loss: 0.4455	LR: 0.020000
Training Epoch: 27 [7936/47500]	Loss: 0.3229	LR: 0.020000
Training Epoch: 27 [8192/47500]	Loss: 0.3969	LR: 0.020000
Training Epoch: 27 [8448/47500]	Loss: 0.3807	LR: 0.020000
Training Epoch: 27 [8704/47500]	Loss: 0.3778	LR: 0.020000
Training Epoch: 27 [8960/47500]	Loss: 0.3413	LR: 0.020000
Training Epoch: 27 [9216/47500]	Loss: 0.3854	LR: 0.020000
Training Epoch: 27 [9472/47500]	Loss: 0.3144	LR: 0.020000
Training Epoch: 27 [9728/47500]	Loss: 0.2249	LR: 0.020000
Training Epoch: 27 [9984/47500]	Loss: 0.3749	LR: 0.020000
Training Epoch: 27 [10240/47500]	Loss: 0.2969	LR: 0.020000
Training Epoch: 27 [10496/47500]	Loss: 0.2397	LR: 0.020000
Training Epoch: 27 [10752/47500]	Loss: 0.3261	LR: 0.020000
Training Epoch: 27 [11008/47500]	Loss: 0.3284	LR: 0.020000
Training Epoch: 27 [11264/47500]	Loss: 0.2821	LR: 0.020000
Training Epoch: 27 [11520/47500]	Loss: 0.3383	LR: 0.020000
Training Epoch: 27 [11776/47500]	Loss: 0.4509	LR: 0.020000
Training Epoch: 27 [12032/47500]	Loss: 0.3571	LR: 0.020000
Training Epoch: 27 [12288/47500]	Loss: 0.3180	LR: 0.020000
Training Epoch: 27 [12544/47500]	Loss: 0.3349	LR: 0.020000
Training Epoch: 27 [12800/47500]	Loss: 0.3060	LR: 0.020000
Training Epoch: 27 [13056/47500]	Loss: 0.3030	LR: 0.020000
Training Epoch: 27 [13312/47500]	Loss: 0.3429	LR: 0.020000
Training Epoch: 27 [13568/47500]	Loss: 0.3348	LR: 0.020000
Training Epoch: 27 [13824/47500]	Loss: 0.3343	LR: 0.020000
Training Epoch: 27 [14080/47500]	Loss: 0.3559	LR: 0.020000
Training Epoch: 27 [14336/47500]	Loss: 0.3854	LR: 0.020000
Training Epoch: 27 [14592/47500]	Loss: 0.3446	LR: 0.020000
Training Epoch: 27 [14848/47500]	Loss: 0.3447	LR: 0.020000
Training Epoch: 27 [15104/47500]	Loss: 0.3461	LR: 0.020000
Training Epoch: 27 [15360/47500]	Loss: 0.3869	LR: 0.020000
Training Epoch: 27 [15616/47500]	Loss: 0.3932	LR: 0.020000
Training Epoch: 27 [15872/47500]	Loss: 0.3058	LR: 0.020000
Training Epoch: 27 [16128/47500]	Loss: 0.3679	LR: 0.020000
Training Epoch: 27 [16384/47500]	Loss: 0.3260	LR: 0.020000
Training Epoch: 27 [16640/47500]	Loss: 0.3467	LR: 0.020000
Training Epoch: 27 [16896/47500]	Loss: 0.3790	LR: 0.020000
Training Epoch: 27 [17152/47500]	Loss: 0.4280	LR: 0.020000
Training Epoch: 27 [17408/47500]	Loss: 0.3253	LR: 0.020000
Training Epoch: 27 [17664/47500]	Loss: 0.3294	LR: 0.020000
Training Epoch: 27 [17920/47500]	Loss: 0.2669	LR: 0.020000
Training Epoch: 27 [18176/47500]	Loss: 0.3875	LR: 0.020000
Training Epoch: 27 [18432/47500]	Loss: 0.4228	LR: 0.020000
Training Epoch: 27 [18688/47500]	Loss: 0.3046	LR: 0.020000
Training Epoch: 27 [18944/47500]	Loss: 0.3530	LR: 0.020000
Training Epoch: 27 [19200/47500]	Loss: 0.2951	LR: 0.020000
Training Epoch: 27 [19456/47500]	Loss: 0.3157	LR: 0.020000
Training Epoch: 27 [19712/47500]	Loss: 0.3314	LR: 0.020000
Training Epoch: 27 [19968/47500]	Loss: 0.3588	LR: 0.020000
Training Epoch: 27 [20224/47500]	Loss: 0.3584	LR: 0.020000
Training Epoch: 27 [20480/47500]	Loss: 0.3411	LR: 0.020000
Training Epoch: 27 [20736/47500]	Loss: 0.3845	LR: 0.020000
Training Epoch: 27 [20992/47500]	Loss: 0.2968	LR: 0.020000
Training Epoch: 27 [21248/47500]	Loss: 0.3901	LR: 0.020000
Training Epoch: 27 [21504/47500]	Loss: 0.3836	LR: 0.020000
Training Epoch: 27 [21760/47500]	Loss: 0.3253	LR: 0.020000
Training Epoch: 27 [22016/47500]	Loss: 0.3066	LR: 0.020000
Training Epoch: 27 [22272/47500]	Loss: 0.3841	LR: 0.020000
Training Epoch: 27 [22528/47500]	Loss: 0.3508	LR: 0.020000
Training Epoch: 27 [22784/47500]	Loss: 0.4746	LR: 0.020000
Training Epoch: 27 [23040/47500]	Loss: 0.4011	LR: 0.020000
Training Epoch: 27 [23296/47500]	Loss: 0.3626	LR: 0.020000
Training Epoch: 27 [23552/47500]	Loss: 0.3469	LR: 0.020000
Training Epoch: 27 [23808/47500]	Loss: 0.4086	LR: 0.020000
Training Epoch: 27 [24064/47500]	Loss: 0.4215	LR: 0.020000
Training Epoch: 27 [24320/47500]	Loss: 0.2596	LR: 0.020000
Training Epoch: 27 [24576/47500]	Loss: 0.3207	LR: 0.020000
Training Epoch: 27 [24832/47500]	Loss: 0.3408	LR: 0.020000
Training Epoch: 27 [25088/47500]	Loss: 0.3496	LR: 0.020000
Training Epoch: 27 [25344/47500]	Loss: 0.4334	LR: 0.020000
Training Epoch: 27 [25600/47500]	Loss: 0.4140	LR: 0.020000
Training Epoch: 27 [25856/47500]	Loss: 0.3326	LR: 0.020000
Training Epoch: 27 [26112/47500]	Loss: 0.3129	LR: 0.020000
Training Epoch: 27 [26368/47500]	Loss: 0.4470	LR: 0.020000
Training Epoch: 27 [26624/47500]	Loss: 0.3435	LR: 0.020000
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Training Epoch: 27 [27136/47500]	Loss: 0.3210	LR: 0.020000
Training Epoch: 27 [27392/47500]	Loss: 0.3792	LR: 0.020000
Training Epoch: 27 [27648/47500]	Loss: 0.3442	LR: 0.020000
Training Epoch: 27 [27904/47500]	Loss: 0.3110	LR: 0.020000
Training Epoch: 27 [28160/47500]	Loss: 0.3473	LR: 0.020000
Training Epoch: 27 [28416/47500]	Loss: 0.3452	LR: 0.020000
Training Epoch: 27 [28672/47500]	Loss: 0.3656	LR: 0.020000
Training Epoch: 27 [28928/47500]	Loss: 0.3538	LR: 0.020000
Training Epoch: 27 [29184/47500]	Loss: 0.4275	LR: 0.020000
Training Epoch: 27 [29440/47500]	Loss: 0.3007	LR: 0.020000
Training Epoch: 27 [29696/47500]	Loss: 0.4031	LR: 0.020000
Training Epoch: 27 [29952/47500]	Loss: 0.3620	LR: 0.020000
Training Epoch: 27 [30208/47500]	Loss: 0.3428	LR: 0.020000
Training Epoch: 27 [30464/47500]	Loss: 0.3998	LR: 0.020000
Training Epoch: 27 [30720/47500]	Loss: 0.4147	LR: 0.020000
Training Epoch: 27 [30976/47500]	Loss: 0.3399	LR: 0.020000
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Training Epoch: 27 [31488/47500]	Loss: 0.2885	LR: 0.020000
Training Epoch: 27 [31744/47500]	Loss: 0.3182	LR: 0.020000
Training Epoch: 27 [32000/47500]	Loss: 0.3116	LR: 0.020000
Training Epoch: 27 [32256/47500]	Loss: 0.3400	LR: 0.020000
Training Epoch: 27 [32512/47500]	Loss: 0.4365	LR: 0.020000
Training Epoch: 27 [32768/47500]	Loss: 0.3736	LR: 0.020000
Training Epoch: 27 [33024/47500]	Loss: 0.3310	LR: 0.020000
Training Epoch: 27 [33280/47500]	Loss: 0.3388	LR: 0.020000
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Training Epoch: 27 [34560/47500]	Loss: 0.3326	LR: 0.020000
Training Epoch: 27 [34816/47500]	Loss: 0.3723	LR: 0.020000
Training Epoch: 27 [35072/47500]	Loss: 0.3205	LR: 0.020000
Training Epoch: 27 [35328/47500]	Loss: 0.4697	LR: 0.020000
Training Epoch: 27 [35584/47500]	Loss: 0.3708	LR: 0.020000
Training Epoch: 27 [35840/47500]	Loss: 0.2095	LR: 0.020000
Training Epoch: 27 [36096/47500]	Loss: 0.2939	LR: 0.020000
Training Epoch: 27 [36352/47500]	Loss: 0.3044	LR: 0.020000
Training Epoch: 27 [36608/47500]	Loss: 0.4255	LR: 0.020000
Training Epoch: 27 [36864/47500]	Loss: 0.4011	LR: 0.020000
Training Epoch: 27 [37120/47500]	Loss: 0.3238	LR: 0.020000
Training Epoch: 27 [37376/47500]	Loss: 0.4532	LR: 0.020000
Training Epoch: 27 [37632/47500]	Loss: 0.4171	LR: 0.020000
Training Epoch: 27 [37888/47500]	Loss: 0.2815	LR: 0.020000
Training Epoch: 27 [38144/47500]	Loss: 0.2989	LR: 0.020000
Training Epoch: 27 [38400/47500]	Loss: 0.2349	LR: 0.020000
Training Epoch: 27 [38656/47500]	Loss: 0.3131	LR: 0.020000
Training Epoch: 27 [38912/47500]	Loss: 0.4260	LR: 0.020000
Training Epoch: 27 [39168/47500]	Loss: 0.4740	LR: 0.020000
Training Epoch: 27 [39424/47500]	Loss: 0.3208	LR: 0.020000
Training Epoch: 27 [39680/47500]	Loss: 0.4514	LR: 0.020000
Training Epoch: 27 [39936/47500]	Loss: 0.4554	LR: 0.020000
Training Epoch: 27 [40192/47500]	Loss: 0.3989	LR: 0.020000
Training Epoch: 27 [40448/47500]	Loss: 0.4018	LR: 0.020000
Training Epoch: 27 [40704/47500]	Loss: 0.3201	LR: 0.020000
Training Epoch: 27 [40960/47500]	Loss: 0.3778	LR: 0.020000
Training Epoch: 27 [41216/47500]	Loss: 0.4160	LR: 0.020000
Training Epoch: 27 [41472/47500]	Loss: 0.3749	LR: 0.020000
Training Epoch: 27 [41728/47500]	Loss: 0.3311	LR: 0.020000
Training Epoch: 27 [41984/47500]	Loss: 0.4280	LR: 0.020000
Training Epoch: 27 [42240/47500]	Loss: 0.4123	LR: 0.020000
Training Epoch: 27 [42496/47500]	Loss: 0.3851	LR: 0.020000
Training Epoch: 27 [42752/47500]	Loss: 0.3293	LR: 0.020000
Training Epoch: 27 [43008/47500]	Loss: 0.3174	LR: 0.020000
Training Epoch: 27 [43264/47500]	Loss: 0.3778	LR: 0.020000
Training Epoch: 27 [43520/47500]	Loss: 0.4189	LR: 0.020000
Training Epoch: 27 [43776/47500]	Loss: 0.3960	LR: 0.020000
Training Epoch: 27 [44032/47500]	Loss: 0.2906	LR: 0.020000
Training Epoch: 27 [44288/47500]	Loss: 0.3905	LR: 0.020000
Training Epoch: 27 [44544/47500]	Loss: 0.3507	LR: 0.020000
Training Epoch: 27 [44800/47500]	Loss: 0.4525	LR: 0.020000
Training Epoch: 27 [45056/47500]	Loss: 0.3572	LR: 0.020000
Training Epoch: 27 [45312/47500]	Loss: 0.3610	LR: 0.020000
Training Epoch: 27 [45568/47500]	Loss: 0.4523	LR: 0.020000
Training Epoch: 27 [45824/47500]	Loss: 0.3791	LR: 0.020000
Training Epoch: 27 [46080/47500]	Loss: 0.3771	LR: 0.020000
Training Epoch: 27 [46336/47500]	Loss: 0.4566	LR: 0.020000
Training Epoch: 27 [46592/47500]	Loss: 0.4290	LR: 0.020000
Training Epoch: 27 [46848/47500]	Loss: 0.4109	LR: 0.020000
Training Epoch: 27 [47104/47500]	Loss: 0.4503	LR: 0.020000
Training Epoch: 27 [47360/47500]	Loss: 0.5369	LR: 0.020000
Training Epoch: 27 [47500/47500]	Loss: 0.3738	LR: 0.020000
Epoch 27 - Average Train Loss: 0.3597, Train Accuracy: 0.8802
Epoch 27 training time consumed: 28.30s
Evaluating Network.....
Test set: Epoch: 27, Average loss: 0.0033, Accuracy: 0.7613, Time consumed:0.87s
Training Epoch: 28 [256/47500]	Loss: 0.2918	LR: 0.020000
Training Epoch: 28 [512/47500]	Loss: 0.3390	LR: 0.020000
Training Epoch: 28 [768/47500]	Loss: 0.3821	LR: 0.020000
Training Epoch: 28 [1024/47500]	Loss: 0.3283	LR: 0.020000
Training Epoch: 28 [1280/47500]	Loss: 0.4152	LR: 0.020000
Training Epoch: 28 [1536/47500]	Loss: 0.3197	LR: 0.020000
Training Epoch: 28 [1792/47500]	Loss: 0.2662	LR: 0.020000
Training Epoch: 28 [2048/47500]	Loss: 0.2700	LR: 0.020000
Training Epoch: 28 [2304/47500]	Loss: 0.3156	LR: 0.020000
Training Epoch: 28 [2560/47500]	Loss: 0.3315	LR: 0.020000
Training Epoch: 28 [2816/47500]	Loss: 0.3211	LR: 0.020000
Training Epoch: 28 [3072/47500]	Loss: 0.3562	LR: 0.020000
Training Epoch: 28 [3328/47500]	Loss: 0.2762	LR: 0.020000
Training Epoch: 28 [3584/47500]	Loss: 0.3098	LR: 0.020000
Training Epoch: 28 [3840/47500]	Loss: 0.3155	LR: 0.020000
Training Epoch: 28 [4096/47500]	Loss: 0.3818	LR: 0.020000
Training Epoch: 28 [4352/47500]	Loss: 0.3522	LR: 0.020000
Training Epoch: 28 [4608/47500]	Loss: 0.2906	LR: 0.020000
Training Epoch: 28 [4864/47500]	Loss: 0.3313	LR: 0.020000
Training Epoch: 28 [5120/47500]	Loss: 0.3507	LR: 0.020000
Training Epoch: 28 [5376/47500]	Loss: 0.3649	LR: 0.020000
Training Epoch: 28 [5632/47500]	Loss: 0.3120	LR: 0.020000
Training Epoch: 28 [5888/47500]	Loss: 0.2991	LR: 0.020000
Training Epoch: 28 [6144/47500]	Loss: 0.4230	LR: 0.020000
Training Epoch: 28 [6400/47500]	Loss: 0.3840	LR: 0.020000
Training Epoch: 28 [6656/47500]	Loss: 0.3518	LR: 0.020000
Training Epoch: 28 [6912/47500]	Loss: 0.3247	LR: 0.020000
Training Epoch: 28 [7168/47500]	Loss: 0.3672	LR: 0.020000
Training Epoch: 28 [7424/47500]	Loss: 0.2635	LR: 0.020000
Training Epoch: 28 [7680/47500]	Loss: 0.3452	LR: 0.020000
Training Epoch: 28 [7936/47500]	Loss: 0.3479	LR: 0.020000
Training Epoch: 28 [8192/47500]	Loss: 0.3284	LR: 0.020000
Training Epoch: 28 [8448/47500]	Loss: 0.2766	LR: 0.020000
Training Epoch: 28 [8704/47500]	Loss: 0.3715	LR: 0.020000
Training Epoch: 28 [8960/47500]	Loss: 0.3227	LR: 0.020000
Training Epoch: 28 [9216/47500]	Loss: 0.3637	LR: 0.020000
Training Epoch: 28 [9472/47500]	Loss: 0.2843	LR: 0.020000
Training Epoch: 28 [9728/47500]	Loss: 0.2647	LR: 0.020000
Training Epoch: 28 [9984/47500]	Loss: 0.3074	LR: 0.020000
Training Epoch: 28 [10240/47500]	Loss: 0.3432	LR: 0.020000
Training Epoch: 28 [10496/47500]	Loss: 0.3569	LR: 0.020000
Training Epoch: 28 [10752/47500]	Loss: 0.4734	LR: 0.020000
Training Epoch: 28 [11008/47500]	Loss: 0.2757	LR: 0.020000
Training Epoch: 28 [11264/47500]	Loss: 0.3549	LR: 0.020000
Training Epoch: 28 [11520/47500]	Loss: 0.2731	LR: 0.020000
Training Epoch: 28 [11776/47500]	Loss: 0.2961	LR: 0.020000
Training Epoch: 28 [12032/47500]	Loss: 0.4049	LR: 0.020000
Training Epoch: 28 [12288/47500]	Loss: 0.3877	LR: 0.020000
Training Epoch: 28 [12544/47500]	Loss: 0.3864	LR: 0.020000
Training Epoch: 28 [12800/47500]	Loss: 0.3085	LR: 0.020000
Training Epoch: 28 [13056/47500]	Loss: 0.3961	LR: 0.020000
Training Epoch: 28 [13312/47500]	Loss: 0.2407	LR: 0.020000
Training Epoch: 28 [13568/47500]	Loss: 0.4510	LR: 0.020000
Training Epoch: 28 [13824/47500]	Loss: 0.2426	LR: 0.020000
Training Epoch: 28 [14080/47500]	Loss: 0.2819	LR: 0.020000
Training Epoch: 28 [14336/47500]	Loss: 0.2965	LR: 0.020000
Training Epoch: 28 [14592/47500]	Loss: 0.2685	LR: 0.020000
Training Epoch: 28 [14848/47500]	Loss: 0.3440	LR: 0.020000
Training Epoch: 28 [15104/47500]	Loss: 0.3347	LR: 0.020000
Training Epoch: 28 [15360/47500]	Loss: 0.3754	LR: 0.020000
Training Epoch: 28 [15616/47500]	Loss: 0.3329	LR: 0.020000
Training Epoch: 28 [15872/47500]	Loss: 0.3621	LR: 0.020000
Training Epoch: 28 [16128/47500]	Loss: 0.2930	LR: 0.020000
Training Epoch: 28 [16384/47500]	Loss: 0.3830	LR: 0.020000
Training Epoch: 28 [16640/47500]	Loss: 0.2939	LR: 0.020000
Training Epoch: 28 [16896/47500]	Loss: 0.3684	LR: 0.020000
Training Epoch: 28 [17152/47500]	Loss: 0.3689	LR: 0.020000
Training Epoch: 28 [17408/47500]	Loss: 0.3500	LR: 0.020000
Training Epoch: 28 [17664/47500]	Loss: 0.3128	LR: 0.020000
Training Epoch: 28 [17920/47500]	Loss: 0.2861	LR: 0.020000
Training Epoch: 28 [18176/47500]	Loss: 0.3319	LR: 0.020000
Training Epoch: 28 [18432/47500]	Loss: 0.4118	LR: 0.020000
Training Epoch: 28 [18688/47500]	Loss: 0.3722	LR: 0.020000
Training Epoch: 28 [18944/47500]	Loss: 0.3834	LR: 0.020000
Training Epoch: 28 [19200/47500]	Loss: 0.4071	LR: 0.020000
Training Epoch: 28 [19456/47500]	Loss: 0.3331	LR: 0.020000
Training Epoch: 28 [19712/47500]	Loss: 0.3493	LR: 0.020000
Training Epoch: 28 [19968/47500]	Loss: 0.2528	LR: 0.020000
Training Epoch: 28 [20224/47500]	Loss: 0.4082	LR: 0.020000
Training Epoch: 28 [20480/47500]	Loss: 0.2464	LR: 0.020000
Training Epoch: 28 [20736/47500]	Loss: 0.4009	LR: 0.020000
Training Epoch: 28 [20992/47500]	Loss: 0.3376	LR: 0.020000
Training Epoch: 28 [21248/47500]	Loss: 0.3844	LR: 0.020000
Training Epoch: 28 [21504/47500]	Loss: 0.3447	LR: 0.020000
Training Epoch: 28 [21760/47500]	Loss: 0.3547	LR: 0.020000
Training Epoch: 28 [22016/47500]	Loss: 0.3981	LR: 0.020000
Training Epoch: 28 [22272/47500]	Loss: 0.3533	LR: 0.020000
Training Epoch: 28 [22528/47500]	Loss: 0.2754	LR: 0.020000
Training Epoch: 28 [22784/47500]	Loss: 0.3835	LR: 0.020000
Training Epoch: 28 [23040/47500]	Loss: 0.3396	LR: 0.020000
Training Epoch: 28 [23296/47500]	Loss: 0.3623	LR: 0.020000
Training Epoch: 28 [23552/47500]	Loss: 0.2664	LR: 0.020000
Training Epoch: 28 [23808/47500]	Loss: 0.3182	LR: 0.020000
Training Epoch: 28 [24064/47500]	Loss: 0.3710	LR: 0.020000
Training Epoch: 28 [24320/47500]	Loss: 0.4695	LR: 0.020000
Training Epoch: 28 [24576/47500]	Loss: 0.3533	LR: 0.020000
Training Epoch: 28 [24832/47500]	Loss: 0.2925	LR: 0.020000
Training Epoch: 28 [25088/47500]	Loss: 0.3751	LR: 0.020000
Training Epoch: 28 [25344/47500]	Loss: 0.3264	LR: 0.020000
Training Epoch: 28 [25600/47500]	Loss: 0.2905	LR: 0.020000
Training Epoch: 28 [25856/47500]	Loss: 0.2708	LR: 0.020000
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Training Epoch: 28 [28160/47500]	Loss: 0.3209	LR: 0.020000
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Training Epoch: 28 [29184/47500]	Loss: 0.3267	LR: 0.020000
Training Epoch: 28 [29440/47500]	Loss: 0.3663	LR: 0.020000
Training Epoch: 28 [29696/47500]	Loss: 0.3425	LR: 0.020000
Training Epoch: 28 [29952/47500]	Loss: 0.2992	LR: 0.020000
Training Epoch: 28 [30208/47500]	Loss: 0.3772	LR: 0.020000
Training Epoch: 28 [30464/47500]	Loss: 0.3165	LR: 0.020000
Training Epoch: 28 [30720/47500]	Loss: 0.4571	LR: 0.020000
Training Epoch: 28 [30976/47500]	Loss: 0.3044	LR: 0.020000
Training Epoch: 28 [31232/47500]	Loss: 0.3935	LR: 0.020000
Training Epoch: 28 [31488/47500]	Loss: 0.3027	LR: 0.020000
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Training Epoch: 28 [32256/47500]	Loss: 0.3789	LR: 0.020000
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Training Epoch: 28 [35584/47500]	Loss: 0.3829	LR: 0.020000
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Training Epoch: 28 [36352/47500]	Loss: 0.3491	LR: 0.020000
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Training Epoch: 28 [37120/47500]	Loss: 0.4025	LR: 0.020000
Training Epoch: 28 [37376/47500]	Loss: 0.3776	LR: 0.020000
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Training Epoch: 28 [40448/47500]	Loss: 0.3826	LR: 0.020000
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Training Epoch: 28 [40960/47500]	Loss: 0.3906	LR: 0.020000
Training Epoch: 28 [41216/47500]	Loss: 0.4387	LR: 0.020000
Training Epoch: 28 [41472/47500]	Loss: 0.3290	LR: 0.020000
Training Epoch: 28 [41728/47500]	Loss: 0.4706	LR: 0.020000
Training Epoch: 28 [41984/47500]	Loss: 0.4361	LR: 0.020000
Training Epoch: 28 [42240/47500]	Loss: 0.3788	LR: 0.020000
Training Epoch: 28 [42496/47500]	Loss: 0.4190	LR: 0.020000
Training Epoch: 28 [42752/47500]	Loss: 0.3468	LR: 0.020000
Training Epoch: 28 [43008/47500]	Loss: 0.3392	LR: 0.020000
Training Epoch: 28 [43264/47500]	Loss: 0.3677	LR: 0.020000
Training Epoch: 28 [43520/47500]	Loss: 0.3339	LR: 0.020000
Training Epoch: 28 [43776/47500]	Loss: 0.3290	LR: 0.020000
Training Epoch: 28 [44032/47500]	Loss: 0.3154	LR: 0.020000
Training Epoch: 28 [44288/47500]	Loss: 0.3742	LR: 0.020000
Training Epoch: 28 [44544/47500]	Loss: 0.4326	LR: 0.020000
Training Epoch: 28 [44800/47500]	Loss: 0.3787	LR: 0.020000
Training Epoch: 28 [45056/47500]	Loss: 0.4371	LR: 0.020000
Training Epoch: 28 [45312/47500]	Loss: 0.3173	LR: 0.020000
Training Epoch: 28 [45568/47500]	Loss: 0.3256	LR: 0.020000
Training Epoch: 28 [45824/47500]	Loss: 0.4172	LR: 0.020000
Training Epoch: 28 [46080/47500]	Loss: 0.4594	LR: 0.020000
Training Epoch: 28 [46336/47500]	Loss: 0.3597	LR: 0.020000
Training Epoch: 28 [46592/47500]	Loss: 0.3871	LR: 0.020000
Training Epoch: 28 [46848/47500]	Loss: 0.4303	LR: 0.020000
Training Epoch: 28 [47104/47500]	Loss: 0.4378	LR: 0.020000
Training Epoch: 28 [47360/47500]	Loss: 0.3271	LR: 0.020000
Training Epoch: 28 [47500/47500]	Loss: 0.4236	LR: 0.020000
Epoch 28 - Average Train Loss: 0.3472, Train Accuracy: 0.8846
Epoch 28 training time consumed: 28.42s
Evaluating Network.....
Test set: Epoch: 28, Average loss: 0.0032, Accuracy: 0.7718, Time consumed:0.97s
Training Epoch: 29 [256/47500]	Loss: 0.3482	LR: 0.020000
Training Epoch: 29 [512/47500]	Loss: 0.3295	LR: 0.020000
Training Epoch: 29 [768/47500]	Loss: 0.2692	LR: 0.020000
Training Epoch: 29 [1024/47500]	Loss: 0.2832	LR: 0.020000
Training Epoch: 29 [1280/47500]	Loss: 0.3629	LR: 0.020000
Training Epoch: 29 [1536/47500]	Loss: 0.3012	LR: 0.020000
Training Epoch: 29 [1792/47500]	Loss: 0.2744	LR: 0.020000
Training Epoch: 29 [2048/47500]	Loss: 0.2570	LR: 0.020000
Training Epoch: 29 [2304/47500]	Loss: 0.3572	LR: 0.020000
Training Epoch: 29 [2560/47500]	Loss: 0.3249	LR: 0.020000
Training Epoch: 29 [2816/47500]	Loss: 0.2770	LR: 0.020000
Training Epoch: 29 [3072/47500]	Loss: 0.3451	LR: 0.020000
Training Epoch: 29 [3328/47500]	Loss: 0.3090	LR: 0.020000
Training Epoch: 29 [3584/47500]	Loss: 0.2829	LR: 0.020000
Training Epoch: 29 [3840/47500]	Loss: 0.2949	LR: 0.020000
Training Epoch: 29 [4096/47500]	Loss: 0.2910	LR: 0.020000
Training Epoch: 29 [4352/47500]	Loss: 0.2616	LR: 0.020000
Training Epoch: 29 [4608/47500]	Loss: 0.3079	LR: 0.020000
Training Epoch: 29 [4864/47500]	Loss: 0.2467	LR: 0.020000
Training Epoch: 29 [5120/47500]	Loss: 0.3222	LR: 0.020000
Training Epoch: 29 [5376/47500]	Loss: 0.3658	LR: 0.020000
Training Epoch: 29 [5632/47500]	Loss: 0.2447	LR: 0.020000
Training Epoch: 29 [5888/47500]	Loss: 0.2686	LR: 0.020000
Training Epoch: 29 [6144/47500]	Loss: 0.3271	LR: 0.020000
Training Epoch: 29 [6400/47500]	Loss: 0.3264	LR: 0.020000
Training Epoch: 29 [6656/47500]	Loss: 0.4667	LR: 0.020000
Training Epoch: 29 [6912/47500]	Loss: 0.2235	LR: 0.020000
Training Epoch: 29 [7168/47500]	Loss: 0.3061	LR: 0.020000
Training Epoch: 29 [7424/47500]	Loss: 0.2564	LR: 0.020000
Training Epoch: 29 [7680/47500]	Loss: 0.3708	LR: 0.020000
Training Epoch: 29 [7936/47500]	Loss: 0.3871	LR: 0.020000
Training Epoch: 29 [8192/47500]	Loss: 0.3851	LR: 0.020000
Training Epoch: 29 [8448/47500]	Loss: 0.3534	LR: 0.020000
Training Epoch: 29 [8704/47500]	Loss: 0.3404	LR: 0.020000
Training Epoch: 29 [8960/47500]	Loss: 0.3326	LR: 0.020000
Training Epoch: 29 [9216/47500]	Loss: 0.2683	LR: 0.020000
Training Epoch: 29 [9472/47500]	Loss: 0.2363	LR: 0.020000
Training Epoch: 29 [9728/47500]	Loss: 0.3041	LR: 0.020000
Training Epoch: 29 [9984/47500]	Loss: 0.3513	LR: 0.020000
Training Epoch: 29 [10240/47500]	Loss: 0.4242	LR: 0.020000
Training Epoch: 29 [10496/47500]	Loss: 0.2625	LR: 0.020000
Training Epoch: 29 [10752/47500]	Loss: 0.2743	LR: 0.020000
Training Epoch: 29 [11008/47500]	Loss: 0.3224	LR: 0.020000
Training Epoch: 29 [11264/47500]	Loss: 0.3357	LR: 0.020000
Training Epoch: 29 [11520/47500]	Loss: 0.2291	LR: 0.020000
Training Epoch: 29 [11776/47500]	Loss: 0.3464	LR: 0.020000
Training Epoch: 29 [12032/47500]	Loss: 0.3485	LR: 0.020000
Training Epoch: 29 [12288/47500]	Loss: 0.3026	LR: 0.020000
Training Epoch: 29 [12544/47500]	Loss: 0.2668	LR: 0.020000
Training Epoch: 29 [12800/47500]	Loss: 0.2936	LR: 0.020000
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Training Epoch: 29 [13312/47500]	Loss: 0.2549	LR: 0.020000
Training Epoch: 29 [13568/47500]	Loss: 0.2742	LR: 0.020000
Training Epoch: 29 [13824/47500]	Loss: 0.2685	LR: 0.020000
Training Epoch: 29 [14080/47500]	Loss: 0.3580	LR: 0.020000
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Training Epoch: 29 [15616/47500]	Loss: 0.3869	LR: 0.020000
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Training Epoch: 29 [16896/47500]	Loss: 0.2741	LR: 0.020000
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Training Epoch: 29 [18944/47500]	Loss: 0.3692	LR: 0.020000
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Training Epoch: 29 [20224/47500]	Loss: 0.2585	LR: 0.020000
Training Epoch: 29 [20480/47500]	Loss: 0.2898	LR: 0.020000
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Training Epoch: 29 [22016/47500]	Loss: 0.2708	LR: 0.020000
Training Epoch: 29 [22272/47500]	Loss: 0.2512	LR: 0.020000
Training Epoch: 29 [22528/47500]	Loss: 0.3122	LR: 0.020000
Training Epoch: 29 [22784/47500]	Loss: 0.3698	LR: 0.020000
Training Epoch: 29 [23040/47500]	Loss: 0.3280	LR: 0.020000
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Training Epoch: 29 [24576/47500]	Loss: 0.3211	LR: 0.020000
Training Epoch: 29 [24832/47500]	Loss: 0.3455	LR: 0.020000
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Training Epoch: 29 [25600/47500]	Loss: 0.3732	LR: 0.020000
Training Epoch: 29 [25856/47500]	Loss: 0.2854	LR: 0.020000
Training Epoch: 29 [26112/47500]	Loss: 0.2768	LR: 0.020000
Training Epoch: 29 [26368/47500]	Loss: 0.4207	LR: 0.020000
Training Epoch: 29 [26624/47500]	Loss: 0.2844	LR: 0.020000
Training Epoch: 29 [26880/47500]	Loss: 0.3610	LR: 0.020000
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Training Epoch: 29 [27648/47500]	Loss: 0.3262	LR: 0.020000
Training Epoch: 29 [27904/47500]	Loss: 0.3191	LR: 0.020000
Training Epoch: 29 [28160/47500]	Loss: 0.3383	LR: 0.020000
Training Epoch: 29 [28416/47500]	Loss: 0.3905	LR: 0.020000
Training Epoch: 29 [28672/47500]	Loss: 0.3109	LR: 0.020000
Training Epoch: 29 [28928/47500]	Loss: 0.4022	LR: 0.020000
Training Epoch: 29 [29184/47500]	Loss: 0.3189	LR: 0.020000
Training Epoch: 29 [29440/47500]	Loss: 0.2853	LR: 0.020000
Training Epoch: 29 [29696/47500]	Loss: 0.4186	LR: 0.020000
Training Epoch: 29 [29952/47500]	Loss: 0.4121	LR: 0.020000
Training Epoch: 29 [30208/47500]	Loss: 0.4851	LR: 0.020000
Training Epoch: 29 [30464/47500]	Loss: 0.3178	LR: 0.020000
Training Epoch: 29 [30720/47500]	Loss: 0.2919	LR: 0.020000
Training Epoch: 29 [30976/47500]	Loss: 0.3196	LR: 0.020000
Training Epoch: 29 [31232/47500]	Loss: 0.3382	LR: 0.020000
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Training Epoch: 29 [32000/47500]	Loss: 0.3544	LR: 0.020000
Training Epoch: 29 [32256/47500]	Loss: 0.4438	LR: 0.020000
Training Epoch: 29 [32512/47500]	Loss: 0.3373	LR: 0.020000
Training Epoch: 29 [32768/47500]	Loss: 0.4064	LR: 0.020000
Training Epoch: 29 [33024/47500]	Loss: 0.3093	LR: 0.020000
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Training Epoch: 29 [35584/47500]	Loss: 0.3171	LR: 0.020000
Training Epoch: 29 [35840/47500]	Loss: 0.4177	LR: 0.020000
Training Epoch: 29 [36096/47500]	Loss: 0.3458	LR: 0.020000
Training Epoch: 29 [36352/47500]	Loss: 0.4169	LR: 0.020000
Training Epoch: 29 [36608/47500]	Loss: 0.3785	LR: 0.020000
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Training Epoch: 29 [37120/47500]	Loss: 0.3120	LR: 0.020000
Training Epoch: 29 [37376/47500]	Loss: 0.3546	LR: 0.020000
Training Epoch: 29 [37632/47500]	Loss: 0.3484	LR: 0.020000
Training Epoch: 29 [37888/47500]	Loss: 0.3650	LR: 0.020000
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Training Epoch: 29 [39424/47500]	Loss: 0.3508	LR: 0.020000
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Training Epoch: 29 [39936/47500]	Loss: 0.3990	LR: 0.020000
Training Epoch: 29 [40192/47500]	Loss: 0.3270	LR: 0.020000
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Training Epoch: 29 [41728/47500]	Loss: 0.3552	LR: 0.020000
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Training Epoch: 29 [42240/47500]	Loss: 0.3585	LR: 0.020000
Training Epoch: 29 [42496/47500]	Loss: 0.2921	LR: 0.020000
Training Epoch: 29 [42752/47500]	Loss: 0.4178	LR: 0.020000
Training Epoch: 29 [43008/47500]	Loss: 0.4071	LR: 0.020000
Training Epoch: 29 [43264/47500]	Loss: 0.3440	LR: 0.020000
Training Epoch: 29 [43520/47500]	Loss: 0.5431	LR: 0.020000
Training Epoch: 29 [43776/47500]	Loss: 0.3526	LR: 0.020000
Training Epoch: 29 [44032/47500]	Loss: 0.3177	LR: 0.020000
Training Epoch: 29 [44288/47500]	Loss: 0.3367	LR: 0.020000
Training Epoch: 29 [44544/47500]	Loss: 0.4867	LR: 0.020000
Training Epoch: 29 [44800/47500]	Loss: 0.3354	LR: 0.020000
Training Epoch: 29 [45056/47500]	Loss: 0.4614	LR: 0.020000
Training Epoch: 29 [45312/47500]	Loss: 0.3640	LR: 0.020000
Training Epoch: 29 [45568/47500]	Loss: 0.3739	LR: 0.020000
Training Epoch: 29 [45824/47500]	Loss: 0.3873	LR: 0.020000
Training Epoch: 29 [46080/47500]	Loss: 0.2922	LR: 0.020000
Training Epoch: 29 [46336/47500]	Loss: 0.3613	LR: 0.020000
Training Epoch: 29 [46592/47500]	Loss: 0.4671	LR: 0.020000
Training Epoch: 29 [46848/47500]	Loss: 0.4151	LR: 0.020000
Training Epoch: 29 [47104/47500]	Loss: 0.4085	LR: 0.020000
Training Epoch: 29 [47360/47500]	Loss: 0.3628	LR: 0.020000
Training Epoch: 29 [47500/47500]	Loss: 0.3909	LR: 0.020000
Epoch 29 - Average Train Loss: 0.3400, Train Accuracy: 0.8862
Epoch 29 training time consumed: 28.40s
Evaluating Network.....
Test set: Epoch: 29, Average loss: 0.0033, Accuracy: 0.7664, Time consumed:0.89s
Training Epoch: 30 [256/47500]	Loss: 0.3155	LR: 0.004000
Training Epoch: 30 [512/47500]	Loss: 0.3287	LR: 0.004000
Training Epoch: 30 [768/47500]	Loss: 0.3858	LR: 0.004000
Training Epoch: 30 [1024/47500]	Loss: 0.3737	LR: 0.004000
Training Epoch: 30 [1280/47500]	Loss: 0.3329	LR: 0.004000
Training Epoch: 30 [1536/47500]	Loss: 0.3048	LR: 0.004000
Training Epoch: 30 [1792/47500]	Loss: 0.2909	LR: 0.004000
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Training Epoch: 30 [47500/47500]	Loss: 0.2552	LR: 0.004000
Epoch 30 - Average Train Loss: 0.2276, Train Accuracy: 0.9273
Epoch 30 training time consumed: 28.47s
Evaluating Network.....
Test set: Epoch: 30, Average loss: 0.0026, Accuracy: 0.8075, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_19h_58m_59s/ResNet18-Cifar20-seed5-ret50-30-best.pth
Training Epoch: 31 [256/47500]	Loss: 0.1933	LR: 0.004000
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Training Epoch: 31 [47360/47500]	Loss: 0.1537	LR: 0.004000
Training Epoch: 31 [47500/47500]	Loss: 0.2126	LR: 0.004000
Epoch 31 - Average Train Loss: 0.1841, Train Accuracy: 0.9433
Epoch 31 training time consumed: 28.55s
Evaluating Network.....
Test set: Epoch: 31, Average loss: 0.0027, Accuracy: 0.8107, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_19h_58m_59s/ResNet18-Cifar20-seed5-ret50-31-best.pth
Training Epoch: 32 [256/47500]	Loss: 0.1524	LR: 0.004000
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Training Epoch: 32 [46336/47500]	Loss: 0.1855	LR: 0.004000
Training Epoch: 32 [46592/47500]	Loss: 0.1720	LR: 0.004000
Training Epoch: 32 [46848/47500]	Loss: 0.1376	LR: 0.004000
Training Epoch: 32 [47104/47500]	Loss: 0.1404	LR: 0.004000
Training Epoch: 32 [47360/47500]	Loss: 0.2061	LR: 0.004000
Training Epoch: 32 [47500/47500]	Loss: 0.1866	LR: 0.004000
Epoch 32 - Average Train Loss: 0.1651, Train Accuracy: 0.9493
Epoch 32 training time consumed: 28.58s
Evaluating Network.....
Test set: Epoch: 32, Average loss: 0.0027, Accuracy: 0.8081, Time consumed:0.90s
Training Epoch: 33 [256/47500]	Loss: 0.1158	LR: 0.004000
Training Epoch: 33 [512/47500]	Loss: 0.1529	LR: 0.004000
Training Epoch: 33 [768/47500]	Loss: 0.1437	LR: 0.004000
Training Epoch: 33 [1024/47500]	Loss: 0.1519	LR: 0.004000
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Training Epoch: 33 [4864/47500]	Loss: 0.1511	LR: 0.004000
Training Epoch: 33 [5120/47500]	Loss: 0.1621	LR: 0.004000
Training Epoch: 33 [5376/47500]	Loss: 0.1165	LR: 0.004000
Training Epoch: 33 [5632/47500]	Loss: 0.1578	LR: 0.004000
Training Epoch: 33 [5888/47500]	Loss: 0.1568	LR: 0.004000
Training Epoch: 33 [6144/47500]	Loss: 0.1425	LR: 0.004000
Training Epoch: 33 [6400/47500]	Loss: 0.1604	LR: 0.004000
Training Epoch: 33 [6656/47500]	Loss: 0.1364	LR: 0.004000
Training Epoch: 33 [6912/47500]	Loss: 0.1331	LR: 0.004000
Training Epoch: 33 [7168/47500]	Loss: 0.1417	LR: 0.004000
Training Epoch: 33 [7424/47500]	Loss: 0.1483	LR: 0.004000
Training Epoch: 33 [7680/47500]	Loss: 0.1191	LR: 0.004000
Training Epoch: 33 [7936/47500]	Loss: 0.1446	LR: 0.004000
Training Epoch: 33 [8192/47500]	Loss: 0.1271	LR: 0.004000
Training Epoch: 33 [8448/47500]	Loss: 0.1467	LR: 0.004000
Training Epoch: 33 [8704/47500]	Loss: 0.1676	LR: 0.004000
Training Epoch: 33 [8960/47500]	Loss: 0.1913	LR: 0.004000
Training Epoch: 33 [9216/47500]	Loss: 0.1435	LR: 0.004000
Training Epoch: 33 [9472/47500]	Loss: 0.1451	LR: 0.004000
Training Epoch: 33 [9728/47500]	Loss: 0.1258	LR: 0.004000
Training Epoch: 33 [9984/47500]	Loss: 0.1319	LR: 0.004000
Training Epoch: 33 [10240/47500]	Loss: 0.1442	LR: 0.004000
Training Epoch: 33 [10496/47500]	Loss: 0.1948	LR: 0.004000
Training Epoch: 33 [10752/47500]	Loss: 0.1542	LR: 0.004000
Training Epoch: 33 [11008/47500]	Loss: 0.1937	LR: 0.004000
Training Epoch: 33 [11264/47500]	Loss: 0.1413	LR: 0.004000
Training Epoch: 33 [11520/47500]	Loss: 0.1524	LR: 0.004000
Training Epoch: 33 [11776/47500]	Loss: 0.1785	LR: 0.004000
Training Epoch: 33 [12032/47500]	Loss: 0.1621	LR: 0.004000
Training Epoch: 33 [12288/47500]	Loss: 0.1601	LR: 0.004000
Training Epoch: 33 [12544/47500]	Loss: 0.1977	LR: 0.004000
Training Epoch: 33 [12800/47500]	Loss: 0.1346	LR: 0.004000
Training Epoch: 33 [13056/47500]	Loss: 0.1637	LR: 0.004000
Training Epoch: 33 [13312/47500]	Loss: 0.1162	LR: 0.004000
Training Epoch: 33 [13568/47500]	Loss: 0.1675	LR: 0.004000
Training Epoch: 33 [13824/47500]	Loss: 0.1368	LR: 0.004000
Training Epoch: 33 [14080/47500]	Loss: 0.1428	LR: 0.004000
Training Epoch: 33 [14336/47500]	Loss: 0.1646	LR: 0.004000
Training Epoch: 33 [14592/47500]	Loss: 0.1292	LR: 0.004000
Training Epoch: 33 [14848/47500]	Loss: 0.1638	LR: 0.004000
Training Epoch: 33 [15104/47500]	Loss: 0.1361	LR: 0.004000
Training Epoch: 33 [15360/47500]	Loss: 0.1207	LR: 0.004000
Training Epoch: 33 [15616/47500]	Loss: 0.1628	LR: 0.004000
Training Epoch: 33 [15872/47500]	Loss: 0.1089	LR: 0.004000
Training Epoch: 33 [16128/47500]	Loss: 0.1919	LR: 0.004000
Training Epoch: 33 [16384/47500]	Loss: 0.1448	LR: 0.004000
Training Epoch: 33 [16640/47500]	Loss: 0.1717	LR: 0.004000
Training Epoch: 33 [16896/47500]	Loss: 0.1885	LR: 0.004000
Training Epoch: 33 [17152/47500]	Loss: 0.1230	LR: 0.004000
Training Epoch: 33 [17408/47500]	Loss: 0.1035	LR: 0.004000
Training Epoch: 33 [17664/47500]	Loss: 0.1282	LR: 0.004000
Training Epoch: 33 [17920/47500]	Loss: 0.1966	LR: 0.004000
Training Epoch: 33 [18176/47500]	Loss: 0.1175	LR: 0.004000
Training Epoch: 33 [18432/47500]	Loss: 0.1871	LR: 0.004000
Training Epoch: 33 [18688/47500]	Loss: 0.1481	LR: 0.004000
Training Epoch: 33 [18944/47500]	Loss: 0.1067	LR: 0.004000
Training Epoch: 33 [19200/47500]	Loss: 0.1468	LR: 0.004000
Training Epoch: 33 [19456/47500]	Loss: 0.1269	LR: 0.004000
Training Epoch: 33 [19712/47500]	Loss: 0.1103	LR: 0.004000
Training Epoch: 33 [19968/47500]	Loss: 0.1481	LR: 0.004000
Training Epoch: 33 [20224/47500]	Loss: 0.1104	LR: 0.004000
Training Epoch: 33 [20480/47500]	Loss: 0.1345	LR: 0.004000
Training Epoch: 33 [20736/47500]	Loss: 0.1947	LR: 0.004000
Training Epoch: 33 [20992/47500]	Loss: 0.1730	LR: 0.004000
Training Epoch: 33 [21248/47500]	Loss: 0.1246	LR: 0.004000
Training Epoch: 33 [21504/47500]	Loss: 0.1592	LR: 0.004000
Training Epoch: 33 [21760/47500]	Loss: 0.1319	LR: 0.004000
Training Epoch: 33 [22016/47500]	Loss: 0.1332	LR: 0.004000
Training Epoch: 33 [22272/47500]	Loss: 0.1638	LR: 0.004000
Training Epoch: 33 [22528/47500]	Loss: 0.1407	LR: 0.004000
Training Epoch: 33 [22784/47500]	Loss: 0.1991	LR: 0.004000
Training Epoch: 33 [23040/47500]	Loss: 0.1145	LR: 0.004000
Training Epoch: 33 [23296/47500]	Loss: 0.1508	LR: 0.004000
Training Epoch: 33 [23552/47500]	Loss: 0.1897	LR: 0.004000
Training Epoch: 33 [23808/47500]	Loss: 0.2047	LR: 0.004000
Training Epoch: 33 [24064/47500]	Loss: 0.1390	LR: 0.004000
Training Epoch: 33 [24320/47500]	Loss: 0.1511	LR: 0.004000
Training Epoch: 33 [24576/47500]	Loss: 0.1373	LR: 0.004000
Training Epoch: 33 [24832/47500]	Loss: 0.1431	LR: 0.004000
Training Epoch: 33 [25088/47500]	Loss: 0.1333	LR: 0.004000
Training Epoch: 33 [25344/47500]	Loss: 0.1475	LR: 0.004000
Training Epoch: 33 [25600/47500]	Loss: 0.1488	LR: 0.004000
Training Epoch: 33 [25856/47500]	Loss: 0.1143	LR: 0.004000
Training Epoch: 33 [26112/47500]	Loss: 0.1072	LR: 0.004000
Training Epoch: 33 [26368/47500]	Loss: 0.0813	LR: 0.004000
Training Epoch: 33 [26624/47500]	Loss: 0.1425	LR: 0.004000
Training Epoch: 33 [26880/47500]	Loss: 0.1128	LR: 0.004000
Training Epoch: 33 [27136/47500]	Loss: 0.1055	LR: 0.004000
Training Epoch: 33 [27392/47500]	Loss: 0.2244	LR: 0.004000
Training Epoch: 33 [27648/47500]	Loss: 0.1267	LR: 0.004000
Training Epoch: 33 [27904/47500]	Loss: 0.1367	LR: 0.004000
Training Epoch: 33 [28160/47500]	Loss: 0.1723	LR: 0.004000
Training Epoch: 33 [28416/47500]	Loss: 0.0992	LR: 0.004000
Training Epoch: 33 [28672/47500]	Loss: 0.1266	LR: 0.004000
Training Epoch: 33 [28928/47500]	Loss: 0.1451	LR: 0.004000
Training Epoch: 33 [29184/47500]	Loss: 0.1614	LR: 0.004000
Training Epoch: 33 [29440/47500]	Loss: 0.1597	LR: 0.004000
Training Epoch: 33 [29696/47500]	Loss: 0.1494	LR: 0.004000
Training Epoch: 33 [29952/47500]	Loss: 0.1032	LR: 0.004000
Training Epoch: 33 [30208/47500]	Loss: 0.2190	LR: 0.004000
Training Epoch: 33 [30464/47500]	Loss: 0.1054	LR: 0.004000
Training Epoch: 33 [30720/47500]	Loss: 0.1532	LR: 0.004000
Training Epoch: 33 [30976/47500]	Loss: 0.1766	LR: 0.004000
Training Epoch: 33 [31232/47500]	Loss: 0.1546	LR: 0.004000
Training Epoch: 33 [31488/47500]	Loss: 0.1661	LR: 0.004000
Training Epoch: 33 [31744/47500]	Loss: 0.1589	LR: 0.004000
Training Epoch: 33 [32000/47500]	Loss: 0.1184	LR: 0.004000
Training Epoch: 33 [32256/47500]	Loss: 0.1086	LR: 0.004000
Training Epoch: 33 [32512/47500]	Loss: 0.1405	LR: 0.004000
Training Epoch: 33 [32768/47500]	Loss: 0.1742	LR: 0.004000
Training Epoch: 33 [33024/47500]	Loss: 0.2034	LR: 0.004000
Training Epoch: 33 [33280/47500]	Loss: 0.1721	LR: 0.004000
Training Epoch: 33 [33536/47500]	Loss: 0.1517	LR: 0.004000
Training Epoch: 33 [33792/47500]	Loss: 0.2103	LR: 0.004000
Training Epoch: 33 [34048/47500]	Loss: 0.1126	LR: 0.004000
Training Epoch: 33 [34304/47500]	Loss: 0.1493	LR: 0.004000
Training Epoch: 33 [34560/47500]	Loss: 0.1397	LR: 0.004000
Training Epoch: 33 [34816/47500]	Loss: 0.1111	LR: 0.004000
Training Epoch: 33 [35072/47500]	Loss: 0.1098	LR: 0.004000
Training Epoch: 33 [35328/47500]	Loss: 0.1842	LR: 0.004000
Training Epoch: 33 [35584/47500]	Loss: 0.1419	LR: 0.004000
Training Epoch: 33 [35840/47500]	Loss: 0.1421	LR: 0.004000
Training Epoch: 33 [36096/47500]	Loss: 0.1352	LR: 0.004000
Training Epoch: 33 [36352/47500]	Loss: 0.1678	LR: 0.004000
Training Epoch: 33 [36608/47500]	Loss: 0.1761	LR: 0.004000
Training Epoch: 33 [36864/47500]	Loss: 0.1457	LR: 0.004000
Training Epoch: 33 [37120/47500]	Loss: 0.1636	LR: 0.004000
Training Epoch: 33 [37376/47500]	Loss: 0.1443	LR: 0.004000
Training Epoch: 33 [37632/47500]	Loss: 0.1320	LR: 0.004000
Training Epoch: 33 [37888/47500]	Loss: 0.1873	LR: 0.004000
Training Epoch: 33 [38144/47500]	Loss: 0.1452	LR: 0.004000
Training Epoch: 33 [38400/47500]	Loss: 0.1923	LR: 0.004000
Training Epoch: 33 [38656/47500]	Loss: 0.1174	LR: 0.004000
Training Epoch: 33 [38912/47500]	Loss: 0.1497	LR: 0.004000
Training Epoch: 33 [39168/47500]	Loss: 0.1231	LR: 0.004000
Training Epoch: 33 [39424/47500]	Loss: 0.1576	LR: 0.004000
Training Epoch: 33 [39680/47500]	Loss: 0.1512	LR: 0.004000
Training Epoch: 33 [39936/47500]	Loss: 0.1428	LR: 0.004000
Training Epoch: 33 [40192/47500]	Loss: 0.2128	LR: 0.004000
Training Epoch: 33 [40448/47500]	Loss: 0.1991	LR: 0.004000
Training Epoch: 33 [40704/47500]	Loss: 0.1470	LR: 0.004000
Training Epoch: 33 [40960/47500]	Loss: 0.1166	LR: 0.004000
Training Epoch: 33 [41216/47500]	Loss: 0.0954	LR: 0.004000
Training Epoch: 33 [41472/47500]	Loss: 0.1744	LR: 0.004000
Training Epoch: 33 [41728/47500]	Loss: 0.1353	LR: 0.004000
Training Epoch: 33 [41984/47500]	Loss: 0.1806	LR: 0.004000
Training Epoch: 33 [42240/47500]	Loss: 0.1614	LR: 0.004000
Training Epoch: 33 [42496/47500]	Loss: 0.1366	LR: 0.004000
Training Epoch: 33 [42752/47500]	Loss: 0.1552	LR: 0.004000
Training Epoch: 33 [43008/47500]	Loss: 0.1088	LR: 0.004000
Training Epoch: 33 [43264/47500]	Loss: 0.1603	LR: 0.004000
Training Epoch: 33 [43520/47500]	Loss: 0.1309	LR: 0.004000
Training Epoch: 33 [43776/47500]	Loss: 0.1589	LR: 0.004000
Training Epoch: 33 [44032/47500]	Loss: 0.1563	LR: 0.004000
Training Epoch: 33 [44288/47500]	Loss: 0.1457	LR: 0.004000
Training Epoch: 33 [44544/47500]	Loss: 0.1052	LR: 0.004000
Training Epoch: 33 [44800/47500]	Loss: 0.1370	LR: 0.004000
Training Epoch: 33 [45056/47500]	Loss: 0.1644	LR: 0.004000
Training Epoch: 33 [45312/47500]	Loss: 0.1554	LR: 0.004000
Training Epoch: 33 [45568/47500]	Loss: 0.1210	LR: 0.004000
Training Epoch: 33 [45824/47500]	Loss: 0.1632	LR: 0.004000
Training Epoch: 33 [46080/47500]	Loss: 0.1158	LR: 0.004000
Training Epoch: 33 [46336/47500]	Loss: 0.1334	LR: 0.004000
Training Epoch: 33 [46592/47500]	Loss: 0.1171	LR: 0.004000
Training Epoch: 33 [46848/47500]	Loss: 0.1883	LR: 0.004000
Training Epoch: 33 [47104/47500]	Loss: 0.1383	LR: 0.004000
Training Epoch: 33 [47360/47500]	Loss: 0.1334	LR: 0.004000
Training Epoch: 33 [47500/47500]	Loss: 0.1511	LR: 0.004000
Epoch 33 - Average Train Loss: 0.1478, Train Accuracy: 0.9549
Epoch 33 training time consumed: 28.54s
Evaluating Network.....
Test set: Epoch: 33, Average loss: 0.0027, Accuracy: 0.8078, Time consumed:0.87s
Training Epoch: 34 [256/47500]	Loss: 0.1521	LR: 0.004000
Training Epoch: 34 [512/47500]	Loss: 0.1585	LR: 0.004000
Training Epoch: 34 [768/47500]	Loss: 0.1246	LR: 0.004000
Training Epoch: 34 [1024/47500]	Loss: 0.1594	LR: 0.004000
Training Epoch: 34 [1280/47500]	Loss: 0.1018	LR: 0.004000
Training Epoch: 34 [1536/47500]	Loss: 0.1443	LR: 0.004000
Training Epoch: 34 [1792/47500]	Loss: 0.1688	LR: 0.004000
Training Epoch: 34 [2048/47500]	Loss: 0.1255	LR: 0.004000
Training Epoch: 34 [2304/47500]	Loss: 0.1128	LR: 0.004000
Training Epoch: 34 [2560/47500]	Loss: 0.1145	LR: 0.004000
Training Epoch: 34 [2816/47500]	Loss: 0.1187	LR: 0.004000
Training Epoch: 34 [3072/47500]	Loss: 0.1304	LR: 0.004000
Training Epoch: 34 [3328/47500]	Loss: 0.1589	LR: 0.004000
Training Epoch: 34 [3584/47500]	Loss: 0.1193	LR: 0.004000
Training Epoch: 34 [3840/47500]	Loss: 0.1389	LR: 0.004000
Training Epoch: 34 [4096/47500]	Loss: 0.1320	LR: 0.004000
Training Epoch: 34 [4352/47500]	Loss: 0.1328	LR: 0.004000
Training Epoch: 34 [4608/47500]	Loss: 0.1358	LR: 0.004000
Training Epoch: 34 [4864/47500]	Loss: 0.1319	LR: 0.004000
Training Epoch: 34 [5120/47500]	Loss: 0.1689	LR: 0.004000
Training Epoch: 34 [5376/47500]	Loss: 0.1827	LR: 0.004000
Training Epoch: 34 [5632/47500]	Loss: 0.1036	LR: 0.004000
Training Epoch: 34 [5888/47500]	Loss: 0.1347	LR: 0.004000
Training Epoch: 34 [6144/47500]	Loss: 0.1510	LR: 0.004000
Training Epoch: 34 [6400/47500]	Loss: 0.0963	LR: 0.004000
Training Epoch: 34 [6656/47500]	Loss: 0.1256	LR: 0.004000
Training Epoch: 34 [6912/47500]	Loss: 0.1632	LR: 0.004000
Training Epoch: 34 [7168/47500]	Loss: 0.1349	LR: 0.004000
Training Epoch: 34 [7424/47500]	Loss: 0.1206	LR: 0.004000
Training Epoch: 34 [7680/47500]	Loss: 0.1163	LR: 0.004000
Training Epoch: 34 [7936/47500]	Loss: 0.1050	LR: 0.004000
Training Epoch: 34 [8192/47500]	Loss: 0.1793	LR: 0.004000
Training Epoch: 34 [8448/47500]	Loss: 0.1579	LR: 0.004000
Training Epoch: 34 [8704/47500]	Loss: 0.1429	LR: 0.004000
Training Epoch: 34 [8960/47500]	Loss: 0.1405	LR: 0.004000
Training Epoch: 34 [9216/47500]	Loss: 0.1517	LR: 0.004000
Training Epoch: 34 [9472/47500]	Loss: 0.1142	LR: 0.004000
Training Epoch: 34 [9728/47500]	Loss: 0.1222	LR: 0.004000
Training Epoch: 34 [9984/47500]	Loss: 0.1048	LR: 0.004000
Training Epoch: 34 [10240/47500]	Loss: 0.1373	LR: 0.004000
Training Epoch: 34 [10496/47500]	Loss: 0.1201	LR: 0.004000
Training Epoch: 34 [10752/47500]	Loss: 0.1749	LR: 0.004000
Training Epoch: 34 [11008/47500]	Loss: 0.1237	LR: 0.004000
Training Epoch: 34 [11264/47500]	Loss: 0.0906	LR: 0.004000
Training Epoch: 34 [11520/47500]	Loss: 0.1677	LR: 0.004000
Training Epoch: 34 [11776/47500]	Loss: 0.1196	LR: 0.004000
Training Epoch: 34 [12032/47500]	Loss: 0.1324	LR: 0.004000
Training Epoch: 34 [12288/47500]	Loss: 0.1451	LR: 0.004000
Training Epoch: 34 [12544/47500]	Loss: 0.1360	LR: 0.004000
Training Epoch: 34 [12800/47500]	Loss: 0.1466	LR: 0.004000
Training Epoch: 34 [13056/47500]	Loss: 0.1181	LR: 0.004000
Training Epoch: 34 [13312/47500]	Loss: 0.1037	LR: 0.004000
Training Epoch: 34 [13568/47500]	Loss: 0.1310	LR: 0.004000
Training Epoch: 34 [13824/47500]	Loss: 0.1544	LR: 0.004000
Training Epoch: 34 [14080/47500]	Loss: 0.1555	LR: 0.004000
Training Epoch: 34 [14336/47500]	Loss: 0.1304	LR: 0.004000
Training Epoch: 34 [14592/47500]	Loss: 0.1095	LR: 0.004000
Training Epoch: 34 [14848/47500]	Loss: 0.1423	LR: 0.004000
Training Epoch: 34 [15104/47500]	Loss: 0.1722	LR: 0.004000
Training Epoch: 34 [15360/47500]	Loss: 0.1672	LR: 0.004000
Training Epoch: 34 [15616/47500]	Loss: 0.1720	LR: 0.004000
Training Epoch: 34 [15872/47500]	Loss: 0.1838	LR: 0.004000
Training Epoch: 34 [16128/47500]	Loss: 0.1049	LR: 0.004000
Training Epoch: 34 [16384/47500]	Loss: 0.1335	LR: 0.004000
Training Epoch: 34 [16640/47500]	Loss: 0.1334	LR: 0.004000
Training Epoch: 34 [16896/47500]	Loss: 0.1411	LR: 0.004000
Training Epoch: 34 [17152/47500]	Loss: 0.1584	LR: 0.004000
Training Epoch: 34 [17408/47500]	Loss: 0.1197	LR: 0.004000
Training Epoch: 34 [17664/47500]	Loss: 0.1201	LR: 0.004000
Training Epoch: 34 [17920/47500]	Loss: 0.1246	LR: 0.004000
Training Epoch: 34 [18176/47500]	Loss: 0.1426	LR: 0.004000
Training Epoch: 34 [18432/47500]	Loss: 0.1335	LR: 0.004000
Training Epoch: 34 [18688/47500]	Loss: 0.1165	LR: 0.004000
Training Epoch: 34 [18944/47500]	Loss: 0.1409	LR: 0.004000
Training Epoch: 34 [19200/47500]	Loss: 0.1666	LR: 0.004000
Training Epoch: 34 [19456/47500]	Loss: 0.1232	LR: 0.004000
Training Epoch: 34 [19712/47500]	Loss: 0.1468	LR: 0.004000
Training Epoch: 34 [19968/47500]	Loss: 0.0934	LR: 0.004000
Training Epoch: 34 [20224/47500]	Loss: 0.0950	LR: 0.004000
Training Epoch: 34 [20480/47500]	Loss: 0.1174	LR: 0.004000
Training Epoch: 34 [20736/47500]	Loss: 0.1252	LR: 0.004000
Training Epoch: 34 [20992/47500]	Loss: 0.1174	LR: 0.004000
Training Epoch: 34 [21248/47500]	Loss: 0.1005	LR: 0.004000
Training Epoch: 34 [21504/47500]	Loss: 0.1153	LR: 0.004000
Training Epoch: 34 [21760/47500]	Loss: 0.1652	LR: 0.004000
Training Epoch: 34 [22016/47500]	Loss: 0.1195	LR: 0.004000
Training Epoch: 34 [22272/47500]	Loss: 0.1604	LR: 0.004000
Training Epoch: 34 [22528/47500]	Loss: 0.1141	LR: 0.004000
Training Epoch: 34 [22784/47500]	Loss: 0.2133	LR: 0.004000
Training Epoch: 34 [23040/47500]	Loss: 0.1478	LR: 0.004000
Training Epoch: 34 [23296/47500]	Loss: 0.1128	LR: 0.004000
Training Epoch: 34 [23552/47500]	Loss: 0.1219	LR: 0.004000
Training Epoch: 34 [23808/47500]	Loss: 0.1397	LR: 0.004000
Training Epoch: 34 [24064/47500]	Loss: 0.1731	LR: 0.004000
Training Epoch: 34 [24320/47500]	Loss: 0.1368	LR: 0.004000
Training Epoch: 34 [24576/47500]	Loss: 0.1517	LR: 0.004000
Training Epoch: 34 [24832/47500]	Loss: 0.1560	LR: 0.004000
Training Epoch: 34 [25088/47500]	Loss: 0.1522	LR: 0.004000
Training Epoch: 34 [25344/47500]	Loss: 0.1063	LR: 0.004000
Training Epoch: 34 [25600/47500]	Loss: 0.1930	LR: 0.004000
Training Epoch: 34 [25856/47500]	Loss: 0.1396	LR: 0.004000
Training Epoch: 34 [26112/47500]	Loss: 0.1712	LR: 0.004000
Training Epoch: 34 [26368/47500]	Loss: 0.1249	LR: 0.004000
Training Epoch: 34 [26624/47500]	Loss: 0.1393	LR: 0.004000
Training Epoch: 34 [26880/47500]	Loss: 0.1425	LR: 0.004000
Training Epoch: 34 [27136/47500]	Loss: 0.1294	LR: 0.004000
Training Epoch: 34 [27392/47500]	Loss: 0.1730	LR: 0.004000
Training Epoch: 34 [27648/47500]	Loss: 0.1421	LR: 0.004000
Training Epoch: 34 [27904/47500]	Loss: 0.1634	LR: 0.004000
Training Epoch: 34 [28160/47500]	Loss: 0.1499	LR: 0.004000
Training Epoch: 34 [28416/47500]	Loss: 0.1383	LR: 0.004000
Training Epoch: 34 [28672/47500]	Loss: 0.1803	LR: 0.004000
Training Epoch: 34 [28928/47500]	Loss: 0.1920	LR: 0.004000
Training Epoch: 34 [29184/47500]	Loss: 0.1299	LR: 0.004000
Training Epoch: 34 [29440/47500]	Loss: 0.1269	LR: 0.004000
Training Epoch: 34 [29696/47500]	Loss: 0.1427	LR: 0.004000
Training Epoch: 34 [29952/47500]	Loss: 0.0996	LR: 0.004000
Training Epoch: 34 [30208/47500]	Loss: 0.1658	LR: 0.004000
Training Epoch: 34 [30464/47500]	Loss: 0.1281	LR: 0.004000
Training Epoch: 34 [30720/47500]	Loss: 0.1729	LR: 0.004000
Training Epoch: 34 [30976/47500]	Loss: 0.1206	LR: 0.004000
Training Epoch: 34 [31232/47500]	Loss: 0.1657	LR: 0.004000
Training Epoch: 34 [31488/47500]	Loss: 0.1239	LR: 0.004000
Training Epoch: 34 [31744/47500]	Loss: 0.1498	LR: 0.004000
Training Epoch: 34 [32000/47500]	Loss: 0.1405	LR: 0.004000
Training Epoch: 34 [32256/47500]	Loss: 0.1075	LR: 0.004000
Training Epoch: 34 [32512/47500]	Loss: 0.1200	LR: 0.004000
Training Epoch: 34 [32768/47500]	Loss: 0.1711	LR: 0.004000
Training Epoch: 34 [33024/47500]	Loss: 0.1409	LR: 0.004000
Training Epoch: 34 [33280/47500]	Loss: 0.1670	LR: 0.004000
Training Epoch: 34 [33536/47500]	Loss: 0.1414	LR: 0.004000
Training Epoch: 34 [33792/47500]	Loss: 0.0954	LR: 0.004000
Training Epoch: 34 [34048/47500]	Loss: 0.1589	LR: 0.004000
Training Epoch: 34 [34304/47500]	Loss: 0.0940	LR: 0.004000
Training Epoch: 34 [34560/47500]	Loss: 0.1103	LR: 0.004000
Training Epoch: 34 [34816/47500]	Loss: 0.1287	LR: 0.004000
Training Epoch: 34 [35072/47500]	Loss: 0.1336	LR: 0.004000
Training Epoch: 34 [35328/47500]	Loss: 0.1854	LR: 0.004000
Training Epoch: 34 [35584/47500]	Loss: 0.1352	LR: 0.004000
Training Epoch: 34 [35840/47500]	Loss: 0.1777	LR: 0.004000
Training Epoch: 34 [36096/47500]	Loss: 0.1114	LR: 0.004000
Training Epoch: 34 [36352/47500]	Loss: 0.1524	LR: 0.004000
Training Epoch: 34 [36608/47500]	Loss: 0.1082	LR: 0.004000
Training Epoch: 34 [36864/47500]	Loss: 0.1220	LR: 0.004000
Training Epoch: 34 [37120/47500]	Loss: 0.1023	LR: 0.004000
Training Epoch: 34 [37376/47500]	Loss: 0.1880	LR: 0.004000
Training Epoch: 34 [37632/47500]	Loss: 0.1160	LR: 0.004000
Training Epoch: 34 [37888/47500]	Loss: 0.1317	LR: 0.004000
Training Epoch: 34 [38144/47500]	Loss: 0.1560	LR: 0.004000
Training Epoch: 34 [38400/47500]	Loss: 0.1743	LR: 0.004000
Training Epoch: 34 [38656/47500]	Loss: 0.1146	LR: 0.004000
Training Epoch: 34 [38912/47500]	Loss: 0.1630	LR: 0.004000
Training Epoch: 34 [39168/47500]	Loss: 0.1741	LR: 0.004000
Training Epoch: 34 [39424/47500]	Loss: 0.1518	LR: 0.004000
Training Epoch: 34 [39680/47500]	Loss: 0.1658	LR: 0.004000
Training Epoch: 34 [39936/47500]	Loss: 0.1094	LR: 0.004000
Training Epoch: 34 [40192/47500]	Loss: 0.1304	LR: 0.004000
Training Epoch: 34 [40448/47500]	Loss: 0.1801	LR: 0.004000
Training Epoch: 34 [40704/47500]	Loss: 0.1703	LR: 0.004000
Training Epoch: 34 [40960/47500]	Loss: 0.1703	LR: 0.004000
Training Epoch: 34 [41216/47500]	Loss: 0.1401	LR: 0.004000
Training Epoch: 34 [41472/47500]	Loss: 0.1179	LR: 0.004000
Training Epoch: 34 [41728/47500]	Loss: 0.1373	LR: 0.004000
Training Epoch: 34 [41984/47500]	Loss: 0.1058	LR: 0.004000
Training Epoch: 34 [42240/47500]	Loss: 0.1109	LR: 0.004000
Training Epoch: 34 [42496/47500]	Loss: 0.1971	LR: 0.004000
Training Epoch: 34 [42752/47500]	Loss: 0.1557	LR: 0.004000
Training Epoch: 34 [43008/47500]	Loss: 0.1633	LR: 0.004000
Training Epoch: 34 [43264/47500]	Loss: 0.1484	LR: 0.004000
Training Epoch: 34 [43520/47500]	Loss: 0.1929	LR: 0.004000
Training Epoch: 34 [43776/47500]	Loss: 0.1646	LR: 0.004000
Training Epoch: 34 [44032/47500]	Loss: 0.0976	LR: 0.004000
Training Epoch: 34 [44288/47500]	Loss: 0.1409	LR: 0.004000
Training Epoch: 34 [44544/47500]	Loss: 0.1463	LR: 0.004000
Training Epoch: 34 [44800/47500]	Loss: 0.1416	LR: 0.004000
Training Epoch: 34 [45056/47500]	Loss: 0.1278	LR: 0.004000
Training Epoch: 34 [45312/47500]	Loss: 0.1791	LR: 0.004000
Training Epoch: 34 [45568/47500]	Loss: 0.1070	LR: 0.004000
Training Epoch: 34 [45824/47500]	Loss: 0.1042	LR: 0.004000
Training Epoch: 34 [46080/47500]	Loss: 0.1349	LR: 0.004000
Training Epoch: 34 [46336/47500]	Loss: 0.1898	LR: 0.004000
Training Epoch: 34 [46592/47500]	Loss: 0.1709	LR: 0.004000
Training Epoch: 34 [46848/47500]	Loss: 0.1573	LR: 0.004000
Training Epoch: 34 [47104/47500]	Loss: 0.1531	LR: 0.004000
Training Epoch: 34 [47360/47500]	Loss: 0.1169	LR: 0.004000
Training Epoch: 34 [47500/47500]	Loss: 0.1342	LR: 0.004000
Epoch 34 - Average Train Loss: 0.1398, Train Accuracy: 0.9571
Epoch 34 training time consumed: 28.39s
Evaluating Network.....
Test set: Epoch: 34, Average loss: 0.0028, Accuracy: 0.8078, Time consumed:0.90s
Training Epoch: 35 [256/47500]	Loss: 0.1278	LR: 0.000800
Training Epoch: 35 [512/47500]	Loss: 0.1424	LR: 0.000800
Training Epoch: 35 [768/47500]	Loss: 0.0950	LR: 0.000800
Training Epoch: 35 [1024/47500]	Loss: 0.1221	LR: 0.000800
Training Epoch: 35 [1280/47500]	Loss: 0.0919	LR: 0.000800
Training Epoch: 35 [1536/47500]	Loss: 0.1361	LR: 0.000800
Training Epoch: 35 [1792/47500]	Loss: 0.1194	LR: 0.000800
Training Epoch: 35 [2048/47500]	Loss: 0.1325	LR: 0.000800
Training Epoch: 35 [2304/47500]	Loss: 0.1466	LR: 0.000800
Training Epoch: 35 [2560/47500]	Loss: 0.1168	LR: 0.000800
Training Epoch: 35 [2816/47500]	Loss: 0.1014	LR: 0.000800
Training Epoch: 35 [3072/47500]	Loss: 0.1209	LR: 0.000800
Training Epoch: 35 [3328/47500]	Loss: 0.1372	LR: 0.000800
Training Epoch: 35 [3584/47500]	Loss: 0.0848	LR: 0.000800
Training Epoch: 35 [3840/47500]	Loss: 0.1168	LR: 0.000800
Training Epoch: 35 [4096/47500]	Loss: 0.1425	LR: 0.000800
Training Epoch: 35 [4352/47500]	Loss: 0.1239	LR: 0.000800
Training Epoch: 35 [4608/47500]	Loss: 0.1088	LR: 0.000800
Training Epoch: 35 [4864/47500]	Loss: 0.1031	LR: 0.000800
Training Epoch: 35 [5120/47500]	Loss: 0.1282	LR: 0.000800
Training Epoch: 35 [5376/47500]	Loss: 0.1694	LR: 0.000800
Training Epoch: 35 [5632/47500]	Loss: 0.1397	LR: 0.000800
Training Epoch: 35 [5888/47500]	Loss: 0.0942	LR: 0.000800
Training Epoch: 35 [6144/47500]	Loss: 0.1168	LR: 0.000800
Training Epoch: 35 [6400/47500]	Loss: 0.1294	LR: 0.000800
Training Epoch: 35 [6656/47500]	Loss: 0.1225	LR: 0.000800
Training Epoch: 35 [6912/47500]	Loss: 0.1493	LR: 0.000800
Training Epoch: 35 [7168/47500]	Loss: 0.1112	LR: 0.000800
Training Epoch: 35 [7424/47500]	Loss: 0.1298	LR: 0.000800
Training Epoch: 35 [7680/47500]	Loss: 0.1234	LR: 0.000800
Training Epoch: 35 [7936/47500]	Loss: 0.0883	LR: 0.000800
Training Epoch: 35 [8192/47500]	Loss: 0.1183	LR: 0.000800
Training Epoch: 35 [8448/47500]	Loss: 0.0995	LR: 0.000800
Training Epoch: 35 [8704/47500]	Loss: 0.1672	LR: 0.000800
Training Epoch: 35 [8960/47500]	Loss: 0.1378	LR: 0.000800
Training Epoch: 35 [9216/47500]	Loss: 0.1281	LR: 0.000800
Training Epoch: 35 [9472/47500]	Loss: 0.0899	LR: 0.000800
Training Epoch: 35 [9728/47500]	Loss: 0.1033	LR: 0.000800
Training Epoch: 35 [9984/47500]	Loss: 0.1002	LR: 0.000800
Training Epoch: 35 [10240/47500]	Loss: 0.1314	LR: 0.000800
Training Epoch: 35 [10496/47500]	Loss: 0.0853	LR: 0.000800
Training Epoch: 35 [10752/47500]	Loss: 0.0938	LR: 0.000800
Training Epoch: 35 [11008/47500]	Loss: 0.1683	LR: 0.000800
Training Epoch: 35 [11264/47500]	Loss: 0.1288	LR: 0.000800
Training Epoch: 35 [11520/47500]	Loss: 0.0933	LR: 0.000800
Training Epoch: 35 [11776/47500]	Loss: 0.1163	LR: 0.000800
Training Epoch: 35 [12032/47500]	Loss: 0.1172	LR: 0.000800
Training Epoch: 35 [12288/47500]	Loss: 0.1321	LR: 0.000800
Training Epoch: 35 [12544/47500]	Loss: 0.1189	LR: 0.000800
Training Epoch: 35 [12800/47500]	Loss: 0.1507	LR: 0.000800
Training Epoch: 35 [13056/47500]	Loss: 0.0895	LR: 0.000800
Training Epoch: 35 [13312/47500]	Loss: 0.1198	LR: 0.000800
Training Epoch: 35 [13568/47500]	Loss: 0.1304	LR: 0.000800
Training Epoch: 35 [13824/47500]	Loss: 0.1360	LR: 0.000800
Training Epoch: 35 [14080/47500]	Loss: 0.1056	LR: 0.000800
Training Epoch: 35 [14336/47500]	Loss: 0.1107	LR: 0.000800
Training Epoch: 35 [14592/47500]	Loss: 0.1215	LR: 0.000800
Training Epoch: 35 [14848/47500]	Loss: 0.1504	LR: 0.000800
Training Epoch: 35 [15104/47500]	Loss: 0.0968	LR: 0.000800
Training Epoch: 35 [15360/47500]	Loss: 0.1409	LR: 0.000800
Training Epoch: 35 [15616/47500]	Loss: 0.0933	LR: 0.000800
Training Epoch: 35 [15872/47500]	Loss: 0.1495	LR: 0.000800
Training Epoch: 35 [16128/47500]	Loss: 0.1281	LR: 0.000800
Training Epoch: 35 [16384/47500]	Loss: 0.1031	LR: 0.000800
Training Epoch: 35 [16640/47500]	Loss: 0.1287	LR: 0.000800
Training Epoch: 35 [16896/47500]	Loss: 0.0914	LR: 0.000800
Training Epoch: 35 [17152/47500]	Loss: 0.1016	LR: 0.000800
Training Epoch: 35 [17408/47500]	Loss: 0.1616	LR: 0.000800
Training Epoch: 35 [17664/47500]	Loss: 0.0961	LR: 0.000800
Training Epoch: 35 [17920/47500]	Loss: 0.1224	LR: 0.000800
Training Epoch: 35 [18176/47500]	Loss: 0.0792	LR: 0.000800
Training Epoch: 35 [18432/47500]	Loss: 0.1313	LR: 0.000800
Training Epoch: 35 [18688/47500]	Loss: 0.0709	LR: 0.000800
Training Epoch: 35 [18944/47500]	Loss: 0.1065	LR: 0.000800
Training Epoch: 35 [19200/47500]	Loss: 0.1483	LR: 0.000800
Training Epoch: 35 [19456/47500]	Loss: 0.1234	LR: 0.000800
Training Epoch: 35 [19712/47500]	Loss: 0.1394	LR: 0.000800
Training Epoch: 35 [19968/47500]	Loss: 0.0774	LR: 0.000800
Training Epoch: 35 [20224/47500]	Loss: 0.1324	LR: 0.000800
Training Epoch: 35 [20480/47500]	Loss: 0.1495	LR: 0.000800
Training Epoch: 35 [20736/47500]	Loss: 0.1342	LR: 0.000800
Training Epoch: 35 [20992/47500]	Loss: 0.0979	LR: 0.000800
Training Epoch: 35 [21248/47500]	Loss: 0.1061	LR: 0.000800
Training Epoch: 35 [21504/47500]	Loss: 0.1330	LR: 0.000800
Training Epoch: 35 [21760/47500]	Loss: 0.1271	LR: 0.000800
Training Epoch: 35 [22016/47500]	Loss: 0.1314	LR: 0.000800
Training Epoch: 35 [22272/47500]	Loss: 0.1604	LR: 0.000800
Training Epoch: 35 [22528/47500]	Loss: 0.1348	LR: 0.000800
Training Epoch: 35 [22784/47500]	Loss: 0.1153	LR: 0.000800
Training Epoch: 35 [23040/47500]	Loss: 0.1283	LR: 0.000800
Training Epoch: 35 [23296/47500]	Loss: 0.1401	LR: 0.000800
Training Epoch: 35 [23552/47500]	Loss: 0.1199	LR: 0.000800
Training Epoch: 35 [23808/47500]	Loss: 0.1162	LR: 0.000800
Training Epoch: 35 [24064/47500]	Loss: 0.1301	LR: 0.000800
Training Epoch: 35 [24320/47500]	Loss: 0.0765	LR: 0.000800
Training Epoch: 35 [24576/47500]	Loss: 0.1177	LR: 0.000800
Training Epoch: 35 [24832/47500]	Loss: 0.1338	LR: 0.000800
Training Epoch: 35 [25088/47500]	Loss: 0.1367	LR: 0.000800
Training Epoch: 35 [25344/47500]	Loss: 0.1220	LR: 0.000800
Training Epoch: 35 [25600/47500]	Loss: 0.1173	LR: 0.000800
Training Epoch: 35 [25856/47500]	Loss: 0.1321	LR: 0.000800
Training Epoch: 35 [26112/47500]	Loss: 0.1389	LR: 0.000800
Training Epoch: 35 [26368/47500]	Loss: 0.1036	LR: 0.000800
Training Epoch: 35 [26624/47500]	Loss: 0.1313	LR: 0.000800
Training Epoch: 35 [26880/47500]	Loss: 0.1837	LR: 0.000800
Training Epoch: 35 [27136/47500]	Loss: 0.1437	LR: 0.000800
Training Epoch: 35 [27392/47500]	Loss: 0.0705	LR: 0.000800
Training Epoch: 35 [27648/47500]	Loss: 0.0986	LR: 0.000800
Training Epoch: 35 [27904/47500]	Loss: 0.1388	LR: 0.000800
Training Epoch: 35 [28160/47500]	Loss: 0.1217	LR: 0.000800
Training Epoch: 35 [28416/47500]	Loss: 0.1250	LR: 0.000800
Training Epoch: 35 [28672/47500]	Loss: 0.1272	LR: 0.000800
Training Epoch: 35 [28928/47500]	Loss: 0.1278	LR: 0.000800
Training Epoch: 35 [29184/47500]	Loss: 0.1199	LR: 0.000800
Training Epoch: 35 [29440/47500]	Loss: 0.1319	LR: 0.000800
Training Epoch: 35 [29696/47500]	Loss: 0.1329	LR: 0.000800
Training Epoch: 35 [29952/47500]	Loss: 0.1328	LR: 0.000800
Training Epoch: 35 [30208/47500]	Loss: 0.1258	LR: 0.000800
Training Epoch: 35 [30464/47500]	Loss: 0.1460	LR: 0.000800
Training Epoch: 35 [30720/47500]	Loss: 0.1340	LR: 0.000800
Training Epoch: 35 [30976/47500]	Loss: 0.1111	LR: 0.000800
Training Epoch: 35 [31232/47500]	Loss: 0.1140	LR: 0.000800
Training Epoch: 35 [31488/47500]	Loss: 0.1304	LR: 0.000800
Training Epoch: 35 [31744/47500]	Loss: 0.0968	LR: 0.000800
Training Epoch: 35 [32000/47500]	Loss: 0.0800	LR: 0.000800
Training Epoch: 35 [32256/47500]	Loss: 0.1099	LR: 0.000800
Training Epoch: 35 [32512/47500]	Loss: 0.1359	LR: 0.000800
Training Epoch: 35 [32768/47500]	Loss: 0.1278	LR: 0.000800
Training Epoch: 35 [33024/47500]	Loss: 0.1364	LR: 0.000800
Training Epoch: 35 [33280/47500]	Loss: 0.1383	LR: 0.000800
Training Epoch: 35 [33536/47500]	Loss: 0.1407	LR: 0.000800
Training Epoch: 35 [33792/47500]	Loss: 0.0883	LR: 0.000800
Training Epoch: 35 [34048/47500]	Loss: 0.1163	LR: 0.000800
Training Epoch: 35 [34304/47500]	Loss: 0.1142	LR: 0.000800
Training Epoch: 35 [34560/47500]	Loss: 0.1725	LR: 0.000800
Training Epoch: 35 [34816/47500]	Loss: 0.1153	LR: 0.000800
Training Epoch: 35 [35072/47500]	Loss: 0.1172	LR: 0.000800
Training Epoch: 35 [35328/47500]	Loss: 0.1603	LR: 0.000800
Training Epoch: 35 [35584/47500]	Loss: 0.1376	LR: 0.000800
Training Epoch: 35 [35840/47500]	Loss: 0.1155	LR: 0.000800
Training Epoch: 35 [36096/47500]	Loss: 0.0885	LR: 0.000800
Training Epoch: 35 [36352/47500]	Loss: 0.1150	LR: 0.000800
Training Epoch: 35 [36608/47500]	Loss: 0.1164	LR: 0.000800
Training Epoch: 35 [36864/47500]	Loss: 0.0722	LR: 0.000800
Training Epoch: 35 [37120/47500]	Loss: 0.0807	LR: 0.000800
Training Epoch: 35 [37376/47500]	Loss: 0.1079	LR: 0.000800
Training Epoch: 35 [37632/47500]	Loss: 0.1203	LR: 0.000800
Training Epoch: 35 [37888/47500]	Loss: 0.0831	LR: 0.000800
Training Epoch: 35 [38144/47500]	Loss: 0.1339	LR: 0.000800
Training Epoch: 35 [38400/47500]	Loss: 0.1079	LR: 0.000800
Training Epoch: 35 [38656/47500]	Loss: 0.1071	LR: 0.000800
Training Epoch: 35 [38912/47500]	Loss: 0.1113	LR: 0.000800
Training Epoch: 35 [39168/47500]	Loss: 0.1531	LR: 0.000800
Training Epoch: 35 [39424/47500]	Loss: 0.1438	LR: 0.000800
Training Epoch: 35 [39680/47500]	Loss: 0.1235	LR: 0.000800
Training Epoch: 35 [39936/47500]	Loss: 0.1640	LR: 0.000800
Training Epoch: 35 [40192/47500]	Loss: 0.1274	LR: 0.000800
Training Epoch: 35 [40448/47500]	Loss: 0.0836	LR: 0.000800
Training Epoch: 35 [40704/47500]	Loss: 0.1033	LR: 0.000800
Training Epoch: 35 [40960/47500]	Loss: 0.1169	LR: 0.000800
Training Epoch: 35 [41216/47500]	Loss: 0.1107	LR: 0.000800
Training Epoch: 35 [41472/47500]	Loss: 0.1337	LR: 0.000800
Training Epoch: 35 [41728/47500]	Loss: 0.0864	LR: 0.000800
Training Epoch: 35 [41984/47500]	Loss: 0.1323	LR: 0.000800
Training Epoch: 35 [42240/47500]	Loss: 0.1004	LR: 0.000800
Training Epoch: 35 [42496/47500]	Loss: 0.1465	LR: 0.000800
Training Epoch: 35 [42752/47500]	Loss: 0.1210	LR: 0.000800
Training Epoch: 35 [43008/47500]	Loss: 0.1140	LR: 0.000800
Training Epoch: 35 [43264/47500]	Loss: 0.1463	LR: 0.000800
Training Epoch: 35 [43520/47500]	Loss: 0.1719	LR: 0.000800
Training Epoch: 35 [43776/47500]	Loss: 0.1294	LR: 0.000800
Training Epoch: 35 [44032/47500]	Loss: 0.1080	LR: 0.000800
Training Epoch: 35 [44288/47500]	Loss: 0.0906	LR: 0.000800
Training Epoch: 35 [44544/47500]	Loss: 0.1252	LR: 0.000800
Training Epoch: 35 [44800/47500]	Loss: 0.1086	LR: 0.000800
Training Epoch: 35 [45056/47500]	Loss: 0.1350	LR: 0.000800
Training Epoch: 35 [45312/47500]	Loss: 0.1137	LR: 0.000800
Training Epoch: 35 [45568/47500]	Loss: 0.1183	LR: 0.000800
Training Epoch: 35 [45824/47500]	Loss: 0.1299	LR: 0.000800
Training Epoch: 35 [46080/47500]	Loss: 0.1247	LR: 0.000800
Training Epoch: 35 [46336/47500]	Loss: 0.1220	LR: 0.000800
Training Epoch: 35 [46592/47500]	Loss: 0.1017	LR: 0.000800
Training Epoch: 35 [46848/47500]	Loss: 0.0800	LR: 0.000800
Training Epoch: 35 [47104/47500]	Loss: 0.1052	LR: 0.000800
Training Epoch: 35 [47360/47500]	Loss: 0.1067	LR: 0.000800
Training Epoch: 35 [47500/47500]	Loss: 0.1231	LR: 0.000800
Epoch 35 - Average Train Loss: 0.1206, Train Accuracy: 0.9645
Epoch 35 training time consumed: 28.45s
Evaluating Network.....
Test set: Epoch: 35, Average loss: 0.0027, Accuracy: 0.8106, Time consumed:0.95s
Training Epoch: 36 [256/47500]	Loss: 0.1287	LR: 0.000800
Training Epoch: 36 [512/47500]	Loss: 0.1190	LR: 0.000800
Training Epoch: 36 [768/47500]	Loss: 0.1742	LR: 0.000800
Training Epoch: 36 [1024/47500]	Loss: 0.1292	LR: 0.000800
Training Epoch: 36 [1280/47500]	Loss: 0.1071	LR: 0.000800
Training Epoch: 36 [1536/47500]	Loss: 0.1066	LR: 0.000800
Training Epoch: 36 [1792/47500]	Loss: 0.1099	LR: 0.000800
Training Epoch: 36 [2048/47500]	Loss: 0.1340	LR: 0.000800
Training Epoch: 36 [2304/47500]	Loss: 0.1082	LR: 0.000800
Training Epoch: 36 [2560/47500]	Loss: 0.1436	LR: 0.000800
Training Epoch: 36 [2816/47500]	Loss: 0.1152	LR: 0.000800
Training Epoch: 36 [3072/47500]	Loss: 0.0856	LR: 0.000800
Training Epoch: 36 [3328/47500]	Loss: 0.1275	LR: 0.000800
Training Epoch: 36 [3584/47500]	Loss: 0.1347	LR: 0.000800
Training Epoch: 36 [3840/47500]	Loss: 0.1201	LR: 0.000800
Training Epoch: 36 [4096/47500]	Loss: 0.1054	LR: 0.000800
Training Epoch: 36 [4352/47500]	Loss: 0.1822	LR: 0.000800
Training Epoch: 36 [4608/47500]	Loss: 0.1045	LR: 0.000800
Training Epoch: 36 [4864/47500]	Loss: 0.1351	LR: 0.000800
Training Epoch: 36 [5120/47500]	Loss: 0.1107	LR: 0.000800
Training Epoch: 36 [5376/47500]	Loss: 0.1450	LR: 0.000800
Training Epoch: 36 [5632/47500]	Loss: 0.1201	LR: 0.000800
Training Epoch: 36 [5888/47500]	Loss: 0.1232	LR: 0.000800
Training Epoch: 36 [6144/47500]	Loss: 0.1303	LR: 0.000800
Training Epoch: 36 [6400/47500]	Loss: 0.1349	LR: 0.000800
Training Epoch: 36 [6656/47500]	Loss: 0.1558	LR: 0.000800
Training Epoch: 36 [6912/47500]	Loss: 0.0792	LR: 0.000800
Training Epoch: 36 [7168/47500]	Loss: 0.1178	LR: 0.000800
Training Epoch: 36 [7424/47500]	Loss: 0.1614	LR: 0.000800
Training Epoch: 36 [7680/47500]	Loss: 0.0938	LR: 0.000800
Training Epoch: 36 [7936/47500]	Loss: 0.0886	LR: 0.000800
Training Epoch: 36 [8192/47500]	Loss: 0.1072	LR: 0.000800
Training Epoch: 36 [8448/47500]	Loss: 0.1552	LR: 0.000800
Training Epoch: 36 [8704/47500]	Loss: 0.1220	LR: 0.000800
Training Epoch: 36 [8960/47500]	Loss: 0.1185	LR: 0.000800
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Training Epoch: 36 [47360/47500]	Loss: 0.0844	LR: 0.000800
Training Epoch: 36 [47500/47500]	Loss: 0.1360	LR: 0.000800
Epoch 36 - Average Train Loss: 0.1183, Train Accuracy: 0.9661
Epoch 36 training time consumed: 28.67s
Evaluating Network.....
Test set: Epoch: 36, Average loss: 0.0027, Accuracy: 0.8119, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_19h_58m_59s/ResNet18-Cifar20-seed5-ret50-36-best.pth
Training Epoch: 37 [256/47500]	Loss: 0.1432	LR: 0.000800
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Training Epoch: 37 [34304/47500]	Loss: 0.1003	LR: 0.000800
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Training Epoch: 37 [34816/47500]	Loss: 0.1082	LR: 0.000800
Training Epoch: 37 [35072/47500]	Loss: 0.0828	LR: 0.000800
Training Epoch: 37 [35328/47500]	Loss: 0.1400	LR: 0.000800
Training Epoch: 37 [35584/47500]	Loss: 0.0769	LR: 0.000800
Training Epoch: 37 [35840/47500]	Loss: 0.0936	LR: 0.000800
Training Epoch: 37 [36096/47500]	Loss: 0.1310	LR: 0.000800
Training Epoch: 37 [36352/47500]	Loss: 0.0952	LR: 0.000800
Training Epoch: 37 [36608/47500]	Loss: 0.0880	LR: 0.000800
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Training Epoch: 37 [37120/47500]	Loss: 0.1034	LR: 0.000800
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Training Epoch: 37 [37888/47500]	Loss: 0.1157	LR: 0.000800
Training Epoch: 37 [38144/47500]	Loss: 0.1347	LR: 0.000800
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Training Epoch: 37 [38656/47500]	Loss: 0.1121	LR: 0.000800
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Training Epoch: 37 [39424/47500]	Loss: 0.1083	LR: 0.000800
Training Epoch: 37 [39680/47500]	Loss: 0.1232	LR: 0.000800
Training Epoch: 37 [39936/47500]	Loss: 0.1045	LR: 0.000800
Training Epoch: 37 [40192/47500]	Loss: 0.0988	LR: 0.000800
Training Epoch: 37 [40448/47500]	Loss: 0.0941	LR: 0.000800
Training Epoch: 37 [40704/47500]	Loss: 0.1128	LR: 0.000800
Training Epoch: 37 [40960/47500]	Loss: 0.1288	LR: 0.000800
Training Epoch: 37 [41216/47500]	Loss: 0.1044	LR: 0.000800
Training Epoch: 37 [41472/47500]	Loss: 0.1384	LR: 0.000800
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Training Epoch: 37 [42240/47500]	Loss: 0.1054	LR: 0.000800
Training Epoch: 37 [42496/47500]	Loss: 0.1219	LR: 0.000800
Training Epoch: 37 [42752/47500]	Loss: 0.0738	LR: 0.000800
Training Epoch: 37 [43008/47500]	Loss: 0.0972	LR: 0.000800
Training Epoch: 37 [43264/47500]	Loss: 0.1342	LR: 0.000800
Training Epoch: 37 [43520/47500]	Loss: 0.0916	LR: 0.000800
Training Epoch: 37 [43776/47500]	Loss: 0.0848	LR: 0.000800
Training Epoch: 37 [44032/47500]	Loss: 0.1027	LR: 0.000800
Training Epoch: 37 [44288/47500]	Loss: 0.1059	LR: 0.000800
Training Epoch: 37 [44544/47500]	Loss: 0.0968	LR: 0.000800
Training Epoch: 37 [44800/47500]	Loss: 0.1106	LR: 0.000800
Training Epoch: 37 [45056/47500]	Loss: 0.1045	LR: 0.000800
Training Epoch: 37 [45312/47500]	Loss: 0.1334	LR: 0.000800
Training Epoch: 37 [45568/47500]	Loss: 0.0779	LR: 0.000800
Training Epoch: 37 [45824/47500]	Loss: 0.1532	LR: 0.000800
Training Epoch: 37 [46080/47500]	Loss: 0.1082	LR: 0.000800
Training Epoch: 37 [46336/47500]	Loss: 0.0773	LR: 0.000800
Training Epoch: 37 [46592/47500]	Loss: 0.0890	LR: 0.000800
Training Epoch: 37 [46848/47500]	Loss: 0.1040	LR: 0.000800
Training Epoch: 37 [47104/47500]	Loss: 0.0751	LR: 0.000800
Training Epoch: 37 [47360/47500]	Loss: 0.1068	LR: 0.000800
Training Epoch: 37 [47500/47500]	Loss: 0.1570	LR: 0.000800
Epoch 37 - Average Train Loss: 0.1111, Train Accuracy: 0.9686
Epoch 37 training time consumed: 28.29s
Evaluating Network.....
Test set: Epoch: 37, Average loss: 0.0027, Accuracy: 0.8104, Time consumed:0.88s
Training Epoch: 38 [256/47500]	Loss: 0.1140	LR: 0.000800
Training Epoch: 38 [512/47500]	Loss: 0.0989	LR: 0.000800
Training Epoch: 38 [768/47500]	Loss: 0.1085	LR: 0.000800
Training Epoch: 38 [1024/47500]	Loss: 0.0885	LR: 0.000800
Training Epoch: 38 [1280/47500]	Loss: 0.0757	LR: 0.000800
Training Epoch: 38 [1536/47500]	Loss: 0.0762	LR: 0.000800
Training Epoch: 38 [1792/47500]	Loss: 0.1602	LR: 0.000800
Training Epoch: 38 [2048/47500]	Loss: 0.1126	LR: 0.000800
Training Epoch: 38 [2304/47500]	Loss: 0.0890	LR: 0.000800
Training Epoch: 38 [2560/47500]	Loss: 0.0782	LR: 0.000800
Training Epoch: 38 [2816/47500]	Loss: 0.1324	LR: 0.000800
Training Epoch: 38 [3072/47500]	Loss: 0.1316	LR: 0.000800
Training Epoch: 38 [3328/47500]	Loss: 0.0889	LR: 0.000800
Training Epoch: 38 [3584/47500]	Loss: 0.1392	LR: 0.000800
Training Epoch: 38 [3840/47500]	Loss: 0.1086	LR: 0.000800
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Training Epoch: 38 [4352/47500]	Loss: 0.0925	LR: 0.000800
Training Epoch: 38 [4608/47500]	Loss: 0.1133	LR: 0.000800
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Training Epoch: 38 [5120/47500]	Loss: 0.1067	LR: 0.000800
Training Epoch: 38 [5376/47500]	Loss: 0.1292	LR: 0.000800
Training Epoch: 38 [5632/47500]	Loss: 0.0728	LR: 0.000800
Training Epoch: 38 [5888/47500]	Loss: 0.1089	LR: 0.000800
Training Epoch: 38 [6144/47500]	Loss: 0.1327	LR: 0.000800
Training Epoch: 38 [6400/47500]	Loss: 0.1041	LR: 0.000800
Training Epoch: 38 [6656/47500]	Loss: 0.0770	LR: 0.000800
Training Epoch: 38 [6912/47500]	Loss: 0.1101	LR: 0.000800
Training Epoch: 38 [7168/47500]	Loss: 0.1210	LR: 0.000800
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Training Epoch: 38 [8448/47500]	Loss: 0.1120	LR: 0.000800
Training Epoch: 38 [8704/47500]	Loss: 0.1027	LR: 0.000800
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Training Epoch: 38 [9984/47500]	Loss: 0.0888	LR: 0.000800
Training Epoch: 38 [10240/47500]	Loss: 0.1552	LR: 0.000800
Training Epoch: 38 [10496/47500]	Loss: 0.1344	LR: 0.000800
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Training Epoch: 38 [41728/47500]	Loss: 0.1152	LR: 0.000800
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Training Epoch: 38 [42496/47500]	Loss: 0.1584	LR: 0.000800
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Training Epoch: 38 [43520/47500]	Loss: 0.0817	LR: 0.000800
Training Epoch: 38 [43776/47500]	Loss: 0.1005	LR: 0.000800
Training Epoch: 38 [44032/47500]	Loss: 0.1210	LR: 0.000800
Training Epoch: 38 [44288/47500]	Loss: 0.1007	LR: 0.000800
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Training Epoch: 38 [44800/47500]	Loss: 0.0937	LR: 0.000800
Training Epoch: 38 [45056/47500]	Loss: 0.1502	LR: 0.000800
Training Epoch: 38 [45312/47500]	Loss: 0.0916	LR: 0.000800
Training Epoch: 38 [45568/47500]	Loss: 0.1020	LR: 0.000800
Training Epoch: 38 [45824/47500]	Loss: 0.0981	LR: 0.000800
Training Epoch: 38 [46080/47500]	Loss: 0.1030	LR: 0.000800
Training Epoch: 38 [46336/47500]	Loss: 0.0946	LR: 0.000800
Training Epoch: 38 [46592/47500]	Loss: 0.1079	LR: 0.000800
Training Epoch: 38 [46848/47500]	Loss: 0.1296	LR: 0.000800
Training Epoch: 38 [47104/47500]	Loss: 0.1023	LR: 0.000800
Training Epoch: 38 [47360/47500]	Loss: 0.0997	LR: 0.000800
Training Epoch: 38 [47500/47500]	Loss: 0.1257	LR: 0.000800
Epoch 38 - Average Train Loss: 0.1096, Train Accuracy: 0.9691
Epoch 38 training time consumed: 28.41s
Evaluating Network.....
Test set: Epoch: 38, Average loss: 0.0028, Accuracy: 0.8132, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_19h_58m_59s/ResNet18-Cifar20-seed5-ret50-38-best.pth
Training Epoch: 39 [256/47500]	Loss: 0.1153	LR: 0.000800
Training Epoch: 39 [512/47500]	Loss: 0.1170	LR: 0.000800
Training Epoch: 39 [768/47500]	Loss: 0.0886	LR: 0.000800
Training Epoch: 39 [1024/47500]	Loss: 0.1119	LR: 0.000800
Training Epoch: 39 [1280/47500]	Loss: 0.0822	LR: 0.000800
Training Epoch: 39 [1536/47500]	Loss: 0.1528	LR: 0.000800
Training Epoch: 39 [1792/47500]	Loss: 0.1161	LR: 0.000800
Training Epoch: 39 [2048/47500]	Loss: 0.1162	LR: 0.000800
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Training Epoch: 39 [11520/47500]	Loss: 0.1207	LR: 0.000800
Training Epoch: 39 [11776/47500]	Loss: 0.1591	LR: 0.000800
Training Epoch: 39 [12032/47500]	Loss: 0.1065	LR: 0.000800
Training Epoch: 39 [12288/47500]	Loss: 0.1072	LR: 0.000800
Training Epoch: 39 [12544/47500]	Loss: 0.1042	LR: 0.000800
Training Epoch: 39 [12800/47500]	Loss: 0.0965	LR: 0.000800
Training Epoch: 39 [13056/47500]	Loss: 0.1278	LR: 0.000800
Training Epoch: 39 [13312/47500]	Loss: 0.1384	LR: 0.000800
Training Epoch: 39 [13568/47500]	Loss: 0.1022	LR: 0.000800
Training Epoch: 39 [13824/47500]	Loss: 0.0933	LR: 0.000800
Training Epoch: 39 [14080/47500]	Loss: 0.1490	LR: 0.000800
Training Epoch: 39 [14336/47500]	Loss: 0.0880	LR: 0.000800
Training Epoch: 39 [14592/47500]	Loss: 0.0744	LR: 0.000800
Training Epoch: 39 [14848/47500]	Loss: 0.0972	LR: 0.000800
Training Epoch: 39 [15104/47500]	Loss: 0.0884	LR: 0.000800
Training Epoch: 39 [15360/47500]	Loss: 0.0837	LR: 0.000800
Training Epoch: 39 [15616/47500]	Loss: 0.0945	LR: 0.000800
Training Epoch: 39 [15872/47500]	Loss: 0.1091	LR: 0.000800
Training Epoch: 39 [16128/47500]	Loss: 0.1069	LR: 0.000800
Training Epoch: 39 [16384/47500]	Loss: 0.1181	LR: 0.000800
Training Epoch: 39 [16640/47500]	Loss: 0.1148	LR: 0.000800
Training Epoch: 39 [16896/47500]	Loss: 0.1037	LR: 0.000800
Training Epoch: 39 [17152/47500]	Loss: 0.1097	LR: 0.000800
Training Epoch: 39 [17408/47500]	Loss: 0.0967	LR: 0.000800
Training Epoch: 39 [17664/47500]	Loss: 0.1048	LR: 0.000800
Training Epoch: 39 [17920/47500]	Loss: 0.1376	LR: 0.000800
Training Epoch: 39 [18176/47500]	Loss: 0.1128	LR: 0.000800
Training Epoch: 39 [18432/47500]	Loss: 0.1122	LR: 0.000800
Training Epoch: 39 [18688/47500]	Loss: 0.0974	LR: 0.000800
Training Epoch: 39 [18944/47500]	Loss: 0.1189	LR: 0.000800
Training Epoch: 39 [19200/47500]	Loss: 0.1057	LR: 0.000800
Training Epoch: 39 [19456/47500]	Loss: 0.1032	LR: 0.000800
Training Epoch: 39 [19712/47500]	Loss: 0.1021	LR: 0.000800
Training Epoch: 39 [19968/47500]	Loss: 0.0868	LR: 0.000800
Training Epoch: 39 [20224/47500]	Loss: 0.0995	LR: 0.000800
Training Epoch: 39 [20480/47500]	Loss: 0.1057	LR: 0.000800
Training Epoch: 39 [20736/47500]	Loss: 0.0724	LR: 0.000800
Training Epoch: 39 [20992/47500]	Loss: 0.1300	LR: 0.000800
Training Epoch: 39 [21248/47500]	Loss: 0.0674	LR: 0.000800
Training Epoch: 39 [21504/47500]	Loss: 0.0950	LR: 0.000800
Training Epoch: 39 [21760/47500]	Loss: 0.1031	LR: 0.000800
Training Epoch: 39 [22016/47500]	Loss: 0.1070	LR: 0.000800
Training Epoch: 39 [22272/47500]	Loss: 0.0934	LR: 0.000800
Training Epoch: 39 [22528/47500]	Loss: 0.1200	LR: 0.000800
Training Epoch: 39 [22784/47500]	Loss: 0.1188	LR: 0.000800
Training Epoch: 39 [23040/47500]	Loss: 0.1282	LR: 0.000800
Training Epoch: 39 [23296/47500]	Loss: 0.0995	LR: 0.000800
Training Epoch: 39 [23552/47500]	Loss: 0.1492	LR: 0.000800
Training Epoch: 39 [23808/47500]	Loss: 0.0959	LR: 0.000800
Training Epoch: 39 [24064/47500]	Loss: 0.0754	LR: 0.000800
Training Epoch: 39 [24320/47500]	Loss: 0.1580	LR: 0.000800
Training Epoch: 39 [24576/47500]	Loss: 0.0772	LR: 0.000800
Training Epoch: 39 [24832/47500]	Loss: 0.0959	LR: 0.000800
Training Epoch: 39 [25088/47500]	Loss: 0.1349	LR: 0.000800
Training Epoch: 39 [25344/47500]	Loss: 0.1030	LR: 0.000800
Training Epoch: 39 [25600/47500]	Loss: 0.1123	LR: 0.000800
Training Epoch: 39 [25856/47500]	Loss: 0.1077	LR: 0.000800
Training Epoch: 39 [26112/47500]	Loss: 0.1253	LR: 0.000800
Training Epoch: 39 [26368/47500]	Loss: 0.1070	LR: 0.000800
Training Epoch: 39 [26624/47500]	Loss: 0.0727	LR: 0.000800
Training Epoch: 39 [26880/47500]	Loss: 0.1314	LR: 0.000800
Training Epoch: 39 [27136/47500]	Loss: 0.0873	LR: 0.000800
Training Epoch: 39 [27392/47500]	Loss: 0.0957	LR: 0.000800
Training Epoch: 39 [27648/47500]	Loss: 0.1189	LR: 0.000800
Training Epoch: 39 [27904/47500]	Loss: 0.1168	LR: 0.000800
Training Epoch: 39 [28160/47500]	Loss: 0.1144	LR: 0.000800
Training Epoch: 39 [28416/47500]	Loss: 0.1097	LR: 0.000800
Training Epoch: 39 [28672/47500]	Loss: 0.1412	LR: 0.000800
Training Epoch: 39 [28928/47500]	Loss: 0.1014	LR: 0.000800
Training Epoch: 39 [29184/47500]	Loss: 0.0931	LR: 0.000800
Training Epoch: 39 [29440/47500]	Loss: 0.1112	LR: 0.000800
Training Epoch: 39 [29696/47500]	Loss: 0.0949	LR: 0.000800
Training Epoch: 39 [29952/47500]	Loss: 0.1497	LR: 0.000800
Training Epoch: 39 [30208/47500]	Loss: 0.0965	LR: 0.000800
Training Epoch: 39 [30464/47500]	Loss: 0.1016	LR: 0.000800
Training Epoch: 39 [30720/47500]	Loss: 0.0753	LR: 0.000800
Training Epoch: 39 [30976/47500]	Loss: 0.0712	LR: 0.000800
Training Epoch: 39 [31232/47500]	Loss: 0.1112	LR: 0.000800
Training Epoch: 39 [31488/47500]	Loss: 0.1130	LR: 0.000800
Training Epoch: 39 [31744/47500]	Loss: 0.0773	LR: 0.000800
Training Epoch: 39 [32000/47500]	Loss: 0.1094	LR: 0.000800
Training Epoch: 39 [32256/47500]	Loss: 0.1430	LR: 0.000800
Training Epoch: 39 [32512/47500]	Loss: 0.1083	LR: 0.000800
Training Epoch: 39 [32768/47500]	Loss: 0.1341	LR: 0.000800
Training Epoch: 39 [33024/47500]	Loss: 0.1375	LR: 0.000800
Training Epoch: 39 [33280/47500]	Loss: 0.1383	LR: 0.000800
Training Epoch: 39 [33536/47500]	Loss: 0.0879	LR: 0.000800
Training Epoch: 39 [33792/47500]	Loss: 0.1318	LR: 0.000800
Training Epoch: 39 [34048/47500]	Loss: 0.1286	LR: 0.000800
Training Epoch: 39 [34304/47500]	Loss: 0.0822	LR: 0.000800
Training Epoch: 39 [34560/47500]	Loss: 0.0774	LR: 0.000800
Training Epoch: 39 [34816/47500]	Loss: 0.0816	LR: 0.000800
Training Epoch: 39 [35072/47500]	Loss: 0.1234	LR: 0.000800
Training Epoch: 39 [35328/47500]	Loss: 0.0943	LR: 0.000800
Training Epoch: 39 [35584/47500]	Loss: 0.1053	LR: 0.000800
Training Epoch: 39 [35840/47500]	Loss: 0.0963	LR: 0.000800
Training Epoch: 39 [36096/47500]	Loss: 0.0688	LR: 0.000800
Training Epoch: 39 [36352/47500]	Loss: 0.1197	LR: 0.000800
Training Epoch: 39 [36608/47500]	Loss: 0.0864	LR: 0.000800
Training Epoch: 39 [36864/47500]	Loss: 0.0963	LR: 0.000800
Training Epoch: 39 [37120/47500]	Loss: 0.1333	LR: 0.000800
Training Epoch: 39 [37376/47500]	Loss: 0.0614	LR: 0.000800
Training Epoch: 39 [37632/47500]	Loss: 0.0895	LR: 0.000800
Training Epoch: 39 [37888/47500]	Loss: 0.0691	LR: 0.000800
Training Epoch: 39 [38144/47500]	Loss: 0.0984	LR: 0.000800
Training Epoch: 39 [38400/47500]	Loss: 0.0900	LR: 0.000800
Training Epoch: 39 [38656/47500]	Loss: 0.0709	LR: 0.000800
Training Epoch: 39 [38912/47500]	Loss: 0.1191	LR: 0.000800
Training Epoch: 39 [39168/47500]	Loss: 0.1238	LR: 0.000800
Training Epoch: 39 [39424/47500]	Loss: 0.1366	LR: 0.000800
Training Epoch: 39 [39680/47500]	Loss: 0.0901	LR: 0.000800
Training Epoch: 39 [39936/47500]	Loss: 0.0933	LR: 0.000800
Training Epoch: 39 [40192/47500]	Loss: 0.0930	LR: 0.000800
Training Epoch: 39 [40448/47500]	Loss: 0.1175	LR: 0.000800
Training Epoch: 39 [40704/47500]	Loss: 0.1001	LR: 0.000800
Training Epoch: 39 [40960/47500]	Loss: 0.1156	LR: 0.000800
Training Epoch: 39 [41216/47500]	Loss: 0.1202	LR: 0.000800
Training Epoch: 39 [41472/47500]	Loss: 0.1312	LR: 0.000800
Training Epoch: 39 [41728/47500]	Loss: 0.0952	LR: 0.000800
Training Epoch: 39 [41984/47500]	Loss: 0.1351	LR: 0.000800
Training Epoch: 39 [42240/47500]	Loss: 0.1338	LR: 0.000800
Training Epoch: 39 [42496/47500]	Loss: 0.0836	LR: 0.000800
Training Epoch: 39 [42752/47500]	Loss: 0.1179	LR: 0.000800
Training Epoch: 39 [43008/47500]	Loss: 0.0997	LR: 0.000800
Training Epoch: 39 [43264/47500]	Loss: 0.0825	LR: 0.000800
Training Epoch: 39 [43520/47500]	Loss: 0.1257	LR: 0.000800
Training Epoch: 39 [43776/47500]	Loss: 0.1050	LR: 0.000800
Training Epoch: 39 [44032/47500]	Loss: 0.0981	LR: 0.000800
Training Epoch: 39 [44288/47500]	Loss: 0.1003	LR: 0.000800
Training Epoch: 39 [44544/47500]	Loss: 0.1268	LR: 0.000800
Training Epoch: 39 [44800/47500]	Loss: 0.1250	LR: 0.000800
Training Epoch: 39 [45056/47500]	Loss: 0.0792	LR: 0.000800
Training Epoch: 39 [45312/47500]	Loss: 0.1012	LR: 0.000800
Training Epoch: 39 [45568/47500]	Loss: 0.1033	LR: 0.000800
Training Epoch: 39 [45824/47500]	Loss: 0.0984	LR: 0.000800
Training Epoch: 39 [46080/47500]	Loss: 0.1014	LR: 0.000800
Training Epoch: 39 [46336/47500]	Loss: 0.1094	LR: 0.000800
Training Epoch: 39 [46592/47500]	Loss: 0.0941	LR: 0.000800
Training Epoch: 39 [46848/47500]	Loss: 0.0595	LR: 0.000800
Training Epoch: 39 [47104/47500]	Loss: 0.0878	LR: 0.000800
Training Epoch: 39 [47360/47500]	Loss: 0.0896	LR: 0.000800
Training Epoch: 39 [47500/47500]	Loss: 0.1333	LR: 0.000800
Epoch 39 - Average Train Loss: 0.1064, Train Accuracy: 0.9699
Epoch 39 training time consumed: 28.44s
Evaluating Network.....
Test set: Epoch: 39, Average loss: 0.0028, Accuracy: 0.8124, Time consumed:0.90s
Training Epoch: 40 [256/47500]	Loss: 0.0991	LR: 0.000800
Training Epoch: 40 [512/47500]	Loss: 0.0755	LR: 0.000800
Training Epoch: 40 [768/47500]	Loss: 0.0862	LR: 0.000800
Training Epoch: 40 [1024/47500]	Loss: 0.0815	LR: 0.000800
Training Epoch: 40 [1280/47500]	Loss: 0.1010	LR: 0.000800
Training Epoch: 40 [1536/47500]	Loss: 0.0660	LR: 0.000800
Training Epoch: 40 [1792/47500]	Loss: 0.0664	LR: 0.000800
Training Epoch: 40 [2048/47500]	Loss: 0.1025	LR: 0.000800
Training Epoch: 40 [2304/47500]	Loss: 0.0910	LR: 0.000800
Training Epoch: 40 [2560/47500]	Loss: 0.0767	LR: 0.000800
Training Epoch: 40 [2816/47500]	Loss: 0.0987	LR: 0.000800
Training Epoch: 40 [3072/47500]	Loss: 0.1259	LR: 0.000800
Training Epoch: 40 [3328/47500]	Loss: 0.1003	LR: 0.000800
Training Epoch: 40 [3584/47500]	Loss: 0.1109	LR: 0.000800
Training Epoch: 40 [3840/47500]	Loss: 0.0803	LR: 0.000800
Training Epoch: 40 [4096/47500]	Loss: 0.0908	LR: 0.000800
Training Epoch: 40 [4352/47500]	Loss: 0.0919	LR: 0.000800
Training Epoch: 40 [4608/47500]	Loss: 0.1181	LR: 0.000800
Training Epoch: 40 [4864/47500]	Loss: 0.1254	LR: 0.000800
Training Epoch: 40 [5120/47500]	Loss: 0.1255	LR: 0.000800
Training Epoch: 40 [5376/47500]	Loss: 0.0990	LR: 0.000800
Training Epoch: 40 [5632/47500]	Loss: 0.0959	LR: 0.000800
Training Epoch: 40 [5888/47500]	Loss: 0.0756	LR: 0.000800
Training Epoch: 40 [6144/47500]	Loss: 0.0975	LR: 0.000800
Training Epoch: 40 [6400/47500]	Loss: 0.1239	LR: 0.000800
Training Epoch: 40 [6656/47500]	Loss: 0.1064	LR: 0.000800
Training Epoch: 40 [6912/47500]	Loss: 0.1459	LR: 0.000800
Training Epoch: 40 [7168/47500]	Loss: 0.1113	LR: 0.000800
Training Epoch: 40 [7424/47500]	Loss: 0.1121	LR: 0.000800
Training Epoch: 40 [7680/47500]	Loss: 0.1082	LR: 0.000800
Training Epoch: 40 [7936/47500]	Loss: 0.0963	LR: 0.000800
Training Epoch: 40 [8192/47500]	Loss: 0.1274	LR: 0.000800
Training Epoch: 40 [8448/47500]	Loss: 0.0755	LR: 0.000800
Training Epoch: 40 [8704/47500]	Loss: 0.1142	LR: 0.000800
Training Epoch: 40 [8960/47500]	Loss: 0.1146	LR: 0.000800
Training Epoch: 40 [9216/47500]	Loss: 0.0768	LR: 0.000800
Training Epoch: 40 [9472/47500]	Loss: 0.0867	LR: 0.000800
Training Epoch: 40 [9728/47500]	Loss: 0.1156	LR: 0.000800
Training Epoch: 40 [9984/47500]	Loss: 0.0928	LR: 0.000800
Training Epoch: 40 [10240/47500]	Loss: 0.0906	LR: 0.000800
Training Epoch: 40 [10496/47500]	Loss: 0.1065	LR: 0.000800
Training Epoch: 40 [10752/47500]	Loss: 0.0906	LR: 0.000800
Training Epoch: 40 [11008/47500]	Loss: 0.1106	LR: 0.000800
Training Epoch: 40 [11264/47500]	Loss: 0.1082	LR: 0.000800
Training Epoch: 40 [11520/47500]	Loss: 0.1178	LR: 0.000800
Training Epoch: 40 [11776/47500]	Loss: 0.1634	LR: 0.000800
Training Epoch: 40 [12032/47500]	Loss: 0.0970	LR: 0.000800
Training Epoch: 40 [12288/47500]	Loss: 0.1141	LR: 0.000800
Training Epoch: 40 [12544/47500]	Loss: 0.0660	LR: 0.000800
Training Epoch: 40 [12800/47500]	Loss: 0.1003	LR: 0.000800
Training Epoch: 40 [13056/47500]	Loss: 0.0999	LR: 0.000800
Training Epoch: 40 [13312/47500]	Loss: 0.1029	LR: 0.000800
Training Epoch: 40 [13568/47500]	Loss: 0.1341	LR: 0.000800
Training Epoch: 40 [13824/47500]	Loss: 0.1308	LR: 0.000800
Training Epoch: 40 [14080/47500]	Loss: 0.1008	LR: 0.000800
Training Epoch: 40 [14336/47500]	Loss: 0.0727	LR: 0.000800
Training Epoch: 40 [14592/47500]	Loss: 0.1157	LR: 0.000800
Training Epoch: 40 [14848/47500]	Loss: 0.0675	LR: 0.000800
Training Epoch: 40 [15104/47500]	Loss: 0.1003	LR: 0.000800
Training Epoch: 40 [15360/47500]	Loss: 0.1056	LR: 0.000800
Training Epoch: 40 [15616/47500]	Loss: 0.1022	LR: 0.000800
Training Epoch: 40 [15872/47500]	Loss: 0.0838	LR: 0.000800
Training Epoch: 40 [16128/47500]	Loss: 0.1116	LR: 0.000800
Training Epoch: 40 [16384/47500]	Loss: 0.1383	LR: 0.000800
Training Epoch: 40 [16640/47500]	Loss: 0.0992	LR: 0.000800
Training Epoch: 40 [16896/47500]	Loss: 0.1223	LR: 0.000800
Training Epoch: 40 [17152/47500]	Loss: 0.0889	LR: 0.000800
Training Epoch: 40 [17408/47500]	Loss: 0.1007	LR: 0.000800
Training Epoch: 40 [17664/47500]	Loss: 0.0801	LR: 0.000800
Training Epoch: 40 [17920/47500]	Loss: 0.0921	LR: 0.000800
Training Epoch: 40 [18176/47500]	Loss: 0.0665	LR: 0.000800
Training Epoch: 40 [18432/47500]	Loss: 0.0756	LR: 0.000800
Training Epoch: 40 [18688/47500]	Loss: 0.1038	LR: 0.000800
Training Epoch: 40 [18944/47500]	Loss: 0.0963	LR: 0.000800
Training Epoch: 40 [19200/47500]	Loss: 0.0883	LR: 0.000800
Training Epoch: 40 [19456/47500]	Loss: 0.1296	LR: 0.000800
Training Epoch: 40 [19712/47500]	Loss: 0.0879	LR: 0.000800
Training Epoch: 40 [19968/47500]	Loss: 0.1184	LR: 0.000800
Training Epoch: 40 [20224/47500]	Loss: 0.1308	LR: 0.000800
Training Epoch: 40 [20480/47500]	Loss: 0.1234	LR: 0.000800
Training Epoch: 40 [20736/47500]	Loss: 0.1700	LR: 0.000800
Training Epoch: 40 [20992/47500]	Loss: 0.1361	LR: 0.000800
Training Epoch: 40 [21248/47500]	Loss: 0.1357	LR: 0.000800
Training Epoch: 40 [21504/47500]	Loss: 0.0880	LR: 0.000800
Training Epoch: 40 [21760/47500]	Loss: 0.1358	LR: 0.000800
Training Epoch: 40 [22016/47500]	Loss: 0.0913	LR: 0.000800
Training Epoch: 40 [22272/47500]	Loss: 0.0916	LR: 0.000800
Training Epoch: 40 [22528/47500]	Loss: 0.1556	LR: 0.000800
Training Epoch: 40 [22784/47500]	Loss: 0.1166	LR: 0.000800
Training Epoch: 40 [23040/47500]	Loss: 0.0946	LR: 0.000800
Training Epoch: 40 [23296/47500]	Loss: 0.0839	LR: 0.000800
Training Epoch: 40 [23552/47500]	Loss: 0.1727	LR: 0.000800
Training Epoch: 40 [23808/47500]	Loss: 0.1260	LR: 0.000800
Training Epoch: 40 [24064/47500]	Loss: 0.1112	LR: 0.000800
Training Epoch: 40 [24320/47500]	Loss: 0.1082	LR: 0.000800
Training Epoch: 40 [24576/47500]	Loss: 0.1372	LR: 0.000800
Training Epoch: 40 [24832/47500]	Loss: 0.1054	LR: 0.000800
Training Epoch: 40 [25088/47500]	Loss: 0.1145	LR: 0.000800
Training Epoch: 40 [25344/47500]	Loss: 0.0747	LR: 0.000800
Training Epoch: 40 [25600/47500]	Loss: 0.1409	LR: 0.000800
Training Epoch: 40 [25856/47500]	Loss: 0.0873	LR: 0.000800
Training Epoch: 40 [26112/47500]	Loss: 0.1450	LR: 0.000800
Training Epoch: 40 [26368/47500]	Loss: 0.1225	LR: 0.000800
Training Epoch: 40 [26624/47500]	Loss: 0.1201	LR: 0.000800
Training Epoch: 40 [26880/47500]	Loss: 0.1365	LR: 0.000800
Training Epoch: 40 [27136/47500]	Loss: 0.1066	LR: 0.000800
Training Epoch: 40 [27392/47500]	Loss: 0.0736	LR: 0.000800
Training Epoch: 40 [27648/47500]	Loss: 0.0943	LR: 0.000800
Training Epoch: 40 [27904/47500]	Loss: 0.0899	LR: 0.000800
Training Epoch: 40 [28160/47500]	Loss: 0.1100	LR: 0.000800
Training Epoch: 40 [28416/47500]	Loss: 0.1077	LR: 0.000800
Training Epoch: 40 [28672/47500]	Loss: 0.1092	LR: 0.000800
Training Epoch: 40 [28928/47500]	Loss: 0.1123	LR: 0.000800
Training Epoch: 40 [29184/47500]	Loss: 0.0857	LR: 0.000800
Training Epoch: 40 [29440/47500]	Loss: 0.0944	LR: 0.000800
Training Epoch: 40 [29696/47500]	Loss: 0.0866	LR: 0.000800
Training Epoch: 40 [29952/47500]	Loss: 0.0769	LR: 0.000800
Training Epoch: 40 [30208/47500]	Loss: 0.0941	LR: 0.000800
Training Epoch: 40 [30464/47500]	Loss: 0.0866	LR: 0.000800
Training Epoch: 40 [30720/47500]	Loss: 0.1021	LR: 0.000800
Training Epoch: 40 [30976/47500]	Loss: 0.0965	LR: 0.000800
Training Epoch: 40 [31232/47500]	Loss: 0.0977	LR: 0.000800
Training Epoch: 40 [31488/47500]	Loss: 0.0938	LR: 0.000800
Training Epoch: 40 [31744/47500]	Loss: 0.0833	LR: 0.000800
Training Epoch: 40 [32000/47500]	Loss: 0.0964	LR: 0.000800
Training Epoch: 40 [32256/47500]	Loss: 0.1139	LR: 0.000800
Training Epoch: 40 [32512/47500]	Loss: 0.1238	LR: 0.000800
Training Epoch: 40 [32768/47500]	Loss: 0.1124	LR: 0.000800
Training Epoch: 40 [33024/47500]	Loss: 0.0868	LR: 0.000800
Training Epoch: 40 [33280/47500]	Loss: 0.0808	LR: 0.000800
Training Epoch: 40 [33536/47500]	Loss: 0.1101	LR: 0.000800
Training Epoch: 40 [33792/47500]	Loss: 0.0702	LR: 0.000800
Training Epoch: 40 [34048/47500]	Loss: 0.0620	LR: 0.000800
Training Epoch: 40 [34304/47500]	Loss: 0.0847	LR: 0.000800
Training Epoch: 40 [34560/47500]	Loss: 0.0984	LR: 0.000800
Training Epoch: 40 [34816/47500]	Loss: 0.0889	LR: 0.000800
Training Epoch: 40 [35072/47500]	Loss: 0.1068	LR: 0.000800
Training Epoch: 40 [35328/47500]	Loss: 0.1375	LR: 0.000800
Training Epoch: 40 [35584/47500]	Loss: 0.1338	LR: 0.000800
Training Epoch: 40 [35840/47500]	Loss: 0.0843	LR: 0.000800
Training Epoch: 40 [36096/47500]	Loss: 0.1368	LR: 0.000800
Training Epoch: 40 [36352/47500]	Loss: 0.0806	LR: 0.000800
Training Epoch: 40 [36608/47500]	Loss: 0.0725	LR: 0.000800
Training Epoch: 40 [36864/47500]	Loss: 0.1451	LR: 0.000800
Training Epoch: 40 [37120/47500]	Loss: 0.1043	LR: 0.000800
Training Epoch: 40 [37376/47500]	Loss: 0.0937	LR: 0.000800
Training Epoch: 40 [37632/47500]	Loss: 0.0852	LR: 0.000800
Training Epoch: 40 [37888/47500]	Loss: 0.0913	LR: 0.000800
Training Epoch: 40 [38144/47500]	Loss: 0.1334	LR: 0.000800
Training Epoch: 40 [38400/47500]	Loss: 0.1126	LR: 0.000800
Training Epoch: 40 [38656/47500]	Loss: 0.0912	LR: 0.000800
Training Epoch: 40 [38912/47500]	Loss: 0.1209	LR: 0.000800
Training Epoch: 40 [39168/47500]	Loss: 0.0962	LR: 0.000800
Training Epoch: 40 [39424/47500]	Loss: 0.1048	LR: 0.000800
Training Epoch: 40 [39680/47500]	Loss: 0.0974	LR: 0.000800
Training Epoch: 40 [39936/47500]	Loss: 0.0750	LR: 0.000800
Training Epoch: 40 [40192/47500]	Loss: 0.1224	LR: 0.000800
Training Epoch: 40 [40448/47500]	Loss: 0.1087	LR: 0.000800
Training Epoch: 40 [40704/47500]	Loss: 0.1522	LR: 0.000800
Training Epoch: 40 [40960/47500]	Loss: 0.1514	LR: 0.000800
Training Epoch: 40 [41216/47500]	Loss: 0.0981	LR: 0.000800
Training Epoch: 40 [41472/47500]	Loss: 0.1545	LR: 0.000800
Training Epoch: 40 [41728/47500]	Loss: 0.1060	LR: 0.000800
Training Epoch: 40 [41984/47500]	Loss: 0.1303	LR: 0.000800
Training Epoch: 40 [42240/47500]	Loss: 0.0996	LR: 0.000800
Training Epoch: 40 [42496/47500]	Loss: 0.1069	LR: 0.000800
Training Epoch: 40 [42752/47500]	Loss: 0.0967	LR: 0.000800
Training Epoch: 40 [43008/47500]	Loss: 0.1120	LR: 0.000800
Training Epoch: 40 [43264/47500]	Loss: 0.0617	LR: 0.000800
Training Epoch: 40 [43520/47500]	Loss: 0.0727	LR: 0.000800
Training Epoch: 40 [43776/47500]	Loss: 0.1298	LR: 0.000800
Training Epoch: 40 [44032/47500]	Loss: 0.1239	LR: 0.000800
Training Epoch: 40 [44288/47500]	Loss: 0.1158	LR: 0.000800
Training Epoch: 40 [44544/47500]	Loss: 0.0874	LR: 0.000800
Training Epoch: 40 [44800/47500]	Loss: 0.0896	LR: 0.000800
Training Epoch: 40 [45056/47500]	Loss: 0.1094	LR: 0.000800
Training Epoch: 40 [45312/47500]	Loss: 0.0899	LR: 0.000800
Training Epoch: 40 [45568/47500]	Loss: 0.0901	LR: 0.000800
Training Epoch: 40 [45824/47500]	Loss: 0.1088	LR: 0.000800
Training Epoch: 40 [46080/47500]	Loss: 0.0657	LR: 0.000800
Training Epoch: 40 [46336/47500]	Loss: 0.1100	LR: 0.000800
Training Epoch: 40 [46592/47500]	Loss: 0.0891	LR: 0.000800
Training Epoch: 40 [46848/47500]	Loss: 0.0971	LR: 0.000800
Training Epoch: 40 [47104/47500]	Loss: 0.0588	LR: 0.000800
Training Epoch: 40 [47360/47500]	Loss: 0.1215	LR: 0.000800
Training Epoch: 40 [47500/47500]	Loss: 0.0688	LR: 0.000800
Epoch 40 - Average Train Loss: 0.1038, Train Accuracy: 0.9708
Epoch 40 training time consumed: 28.45s
Evaluating Network.....
Test set: Epoch: 40, Average loss: 0.0028, Accuracy: 0.8116, Time consumed:0.90s
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: 81.455078125
Retain Accuracy: 97.68463134765625
Zero-Retain Forget (ZRF): 0.8996439576148987
Membership Inference Attack (MIA): 0.6052
Forget vs Retain Membership Inference Attack (MIA): 0.571
Forget vs Test Membership Inference Attack (MIA): 0.526
Test vs Retain Membership Inference Attack (MIA): 0.56325
Train vs Test Membership Inference Attack (MIA): 0.59975
Forget Set Accuracy (Df): 79.40768432617188
Method Execution Time: 2129.47 seconds
