
📌 Retain class distribution for seed 9:
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 9:
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: 3.0329	LR: 0.000000
Training Epoch: 1 [512/47500]	Loss: 3.0608	LR: 0.000538
Training Epoch: 1 [768/47500]	Loss: 3.0873	LR: 0.001075
Training Epoch: 1 [1024/47500]	Loss: 3.0386	LR: 0.001613
Training Epoch: 1 [1280/47500]	Loss: 3.0196	LR: 0.002151
Training Epoch: 1 [1536/47500]	Loss: 3.0112	LR: 0.002688
Training Epoch: 1 [1792/47500]	Loss: 2.9773	LR: 0.003226
Training Epoch: 1 [2048/47500]	Loss: 2.9326	LR: 0.003763
Training Epoch: 1 [2304/47500]	Loss: 2.8917	LR: 0.004301
Training Epoch: 1 [2560/47500]	Loss: 2.8806	LR: 0.004839
Training Epoch: 1 [2816/47500]	Loss: 2.8790	LR: 0.005376
Training Epoch: 1 [3072/47500]	Loss: 2.8526	LR: 0.005914
Training Epoch: 1 [3328/47500]	Loss: 2.7972	LR: 0.006452
Training Epoch: 1 [3584/47500]	Loss: 2.8268	LR: 0.006989
Training Epoch: 1 [3840/47500]	Loss: 2.8763	LR: 0.007527
Training Epoch: 1 [4096/47500]	Loss: 2.8571	LR: 0.008065
Training Epoch: 1 [4352/47500]	Loss: 2.7350	LR: 0.008602
Training Epoch: 1 [4608/47500]	Loss: 2.6987	LR: 0.009140
Training Epoch: 1 [4864/47500]	Loss: 2.6798	LR: 0.009677
Training Epoch: 1 [5120/47500]	Loss: 2.6461	LR: 0.010215
Training Epoch: 1 [5376/47500]	Loss: 2.7670	LR: 0.010753
Training Epoch: 1 [5632/47500]	Loss: 2.6562	LR: 0.011290
Training Epoch: 1 [5888/47500]	Loss: 2.6275	LR: 0.011828
Training Epoch: 1 [6144/47500]	Loss: 2.5348	LR: 0.012366
Training Epoch: 1 [6400/47500]	Loss: 2.5765	LR: 0.012903
Training Epoch: 1 [6656/47500]	Loss: 2.6545	LR: 0.013441
Training Epoch: 1 [6912/47500]	Loss: 2.5756	LR: 0.013978
Training Epoch: 1 [7168/47500]	Loss: 2.5455	LR: 0.014516
Training Epoch: 1 [7424/47500]	Loss: 2.6003	LR: 0.015054
Training Epoch: 1 [7680/47500]	Loss: 2.6516	LR: 0.015591
Training Epoch: 1 [7936/47500]	Loss: 2.5118	LR: 0.016129
Training Epoch: 1 [8192/47500]	Loss: 2.5396	LR: 0.016667
Training Epoch: 1 [8448/47500]	Loss: 2.7639	LR: 0.017204
Training Epoch: 1 [8704/47500]	Loss: 2.7238	LR: 0.017742
Training Epoch: 1 [8960/47500]	Loss: 2.7084	LR: 0.018280
Training Epoch: 1 [9216/47500]	Loss: 2.7294	LR: 0.018817
Training Epoch: 1 [9472/47500]	Loss: 2.5691	LR: 0.019355
Training Epoch: 1 [9728/47500]	Loss: 2.5400	LR: 0.019892
Training Epoch: 1 [9984/47500]	Loss: 2.8566	LR: 0.020430
Training Epoch: 1 [10240/47500]	Loss: 2.7077	LR: 0.020968
Training Epoch: 1 [10496/47500]	Loss: 2.7378	LR: 0.021505
Training Epoch: 1 [10752/47500]	Loss: 2.5850	LR: 0.022043
Training Epoch: 1 [11008/47500]	Loss: 2.7067	LR: 0.022581
Training Epoch: 1 [11264/47500]	Loss: 2.6921	LR: 0.023118
Training Epoch: 1 [11520/47500]	Loss: 2.6241	LR: 0.023656
Training Epoch: 1 [11776/47500]	Loss: 2.7290	LR: 0.024194
Training Epoch: 1 [12032/47500]	Loss: 2.6396	LR: 0.024731
Training Epoch: 1 [12288/47500]	Loss: 2.6732	LR: 0.025269
Training Epoch: 1 [12544/47500]	Loss: 2.6209	LR: 0.025806
Training Epoch: 1 [12800/47500]	Loss: 2.5948	LR: 0.026344
Training Epoch: 1 [13056/47500]	Loss: 2.6903	LR: 0.026882
Training Epoch: 1 [13312/47500]	Loss: 2.5820	LR: 0.027419
Training Epoch: 1 [13568/47500]	Loss: 2.5465	LR: 0.027957
Training Epoch: 1 [13824/47500]	Loss: 2.5474	LR: 0.028495
Training Epoch: 1 [14080/47500]	Loss: 2.6444	LR: 0.029032
Training Epoch: 1 [14336/47500]	Loss: 2.5410	LR: 0.029570
Training Epoch: 1 [14592/47500]	Loss: 2.7316	LR: 0.030108
Training Epoch: 1 [14848/47500]	Loss: 2.6902	LR: 0.030645
Training Epoch: 1 [15104/47500]	Loss: 2.6154	LR: 0.031183
Training Epoch: 1 [15360/47500]	Loss: 2.5844	LR: 0.031720
Training Epoch: 1 [15616/47500]	Loss: 2.5225	LR: 0.032258
Training Epoch: 1 [15872/47500]	Loss: 2.5109	LR: 0.032796
Training Epoch: 1 [16128/47500]	Loss: 2.6434	LR: 0.033333
Training Epoch: 1 [16384/47500]	Loss: 2.5014	LR: 0.033871
Training Epoch: 1 [16640/47500]	Loss: 2.6686	LR: 0.034409
Training Epoch: 1 [16896/47500]	Loss: 2.6326	LR: 0.034946
Training Epoch: 1 [17152/47500]	Loss: 2.5315	LR: 0.035484
Training Epoch: 1 [17408/47500]	Loss: 2.5000	LR: 0.036022
Training Epoch: 1 [17664/47500]	Loss: 2.5140	LR: 0.036559
Training Epoch: 1 [17920/47500]	Loss: 2.4717	LR: 0.037097
Training Epoch: 1 [18176/47500]	Loss: 2.5662	LR: 0.037634
Training Epoch: 1 [18432/47500]	Loss: 2.5667	LR: 0.038172
Training Epoch: 1 [18688/47500]	Loss: 2.4659	LR: 0.038710
Training Epoch: 1 [18944/47500]	Loss: 2.5686	LR: 0.039247
Training Epoch: 1 [19200/47500]	Loss: 2.4891	LR: 0.039785
Training Epoch: 1 [19456/47500]	Loss: 2.5186	LR: 0.040323
Training Epoch: 1 [19712/47500]	Loss: 2.5894	LR: 0.040860
Training Epoch: 1 [19968/47500]	Loss: 2.4536	LR: 0.041398
Training Epoch: 1 [20224/47500]	Loss: 2.4824	LR: 0.041935
Training Epoch: 1 [20480/47500]	Loss: 2.5955	LR: 0.042473
Training Epoch: 1 [20736/47500]	Loss: 2.6022	LR: 0.043011
Training Epoch: 1 [20992/47500]	Loss: 2.5575	LR: 0.043548
Training Epoch: 1 [21248/47500]	Loss: 2.4805	LR: 0.044086
Training Epoch: 1 [21504/47500]	Loss: 2.4686	LR: 0.044624
Training Epoch: 1 [21760/47500]	Loss: 2.5913	LR: 0.045161
Training Epoch: 1 [22016/47500]	Loss: 2.5071	LR: 0.045699
Training Epoch: 1 [22272/47500]	Loss: 2.5400	LR: 0.046237
Training Epoch: 1 [22528/47500]	Loss: 2.5622	LR: 0.046774
Training Epoch: 1 [22784/47500]	Loss: 2.4574	LR: 0.047312
Training Epoch: 1 [23040/47500]	Loss: 2.5281	LR: 0.047849
Training Epoch: 1 [23296/47500]	Loss: 2.4625	LR: 0.048387
Training Epoch: 1 [23552/47500]	Loss: 2.5729	LR: 0.048925
Training Epoch: 1 [23808/47500]	Loss: 2.4890	LR: 0.049462
Training Epoch: 1 [24064/47500]	Loss: 2.5583	LR: 0.050000
Training Epoch: 1 [24320/47500]	Loss: 2.5715	LR: 0.050538
Training Epoch: 1 [24576/47500]	Loss: 2.4936	LR: 0.051075
Training Epoch: 1 [24832/47500]	Loss: 2.6837	LR: 0.051613
Training Epoch: 1 [25088/47500]	Loss: 2.5405	LR: 0.052151
Training Epoch: 1 [25344/47500]	Loss: 2.4136	LR: 0.052688
Training Epoch: 1 [25600/47500]	Loss: 2.4805	LR: 0.053226
Training Epoch: 1 [25856/47500]	Loss: 2.5492	LR: 0.053763
Training Epoch: 1 [26112/47500]	Loss: 2.5689	LR: 0.054301
Training Epoch: 1 [26368/47500]	Loss: 2.4888	LR: 0.054839
Training Epoch: 1 [26624/47500]	Loss: 2.4734	LR: 0.055376
Training Epoch: 1 [26880/47500]	Loss: 2.4273	LR: 0.055914
Training Epoch: 1 [27136/47500]	Loss: 2.2481	LR: 0.056452
Training Epoch: 1 [27392/47500]	Loss: 2.3338	LR: 0.056989
Training Epoch: 1 [27648/47500]	Loss: 2.4820	LR: 0.057527
Training Epoch: 1 [27904/47500]	Loss: 2.3978	LR: 0.058065
Training Epoch: 1 [28160/47500]	Loss: 2.4197	LR: 0.058602
Training Epoch: 1 [28416/47500]	Loss: 2.4010	LR: 0.059140
Training Epoch: 1 [28672/47500]	Loss: 2.2866	LR: 0.059677
Training Epoch: 1 [28928/47500]	Loss: 2.4277	LR: 0.060215
Training Epoch: 1 [29184/47500]	Loss: 2.4763	LR: 0.060753
Training Epoch: 1 [29440/47500]	Loss: 2.4765	LR: 0.061290
Training Epoch: 1 [29696/47500]	Loss: 2.4748	LR: 0.061828
Training Epoch: 1 [29952/47500]	Loss: 2.5018	LR: 0.062366
Training Epoch: 1 [30208/47500]	Loss: 2.4795	LR: 0.062903
Training Epoch: 1 [30464/47500]	Loss: 2.4280	LR: 0.063441
Training Epoch: 1 [30720/47500]	Loss: 2.3818	LR: 0.063978
Training Epoch: 1 [30976/47500]	Loss: 2.5153	LR: 0.064516
Training Epoch: 1 [31232/47500]	Loss: 2.5595	LR: 0.065054
Training Epoch: 1 [31488/47500]	Loss: 2.4333	LR: 0.065591
Training Epoch: 1 [31744/47500]	Loss: 2.2644	LR: 0.066129
Training Epoch: 1 [32000/47500]	Loss: 2.4634	LR: 0.066667
Training Epoch: 1 [32256/47500]	Loss: 2.3754	LR: 0.067204
Training Epoch: 1 [32512/47500]	Loss: 2.4929	LR: 0.067742
Training Epoch: 1 [32768/47500]	Loss: 2.3680	LR: 0.068280
Training Epoch: 1 [33024/47500]	Loss: 2.4785	LR: 0.068817
Training Epoch: 1 [33280/47500]	Loss: 2.3603	LR: 0.069355
Training Epoch: 1 [33536/47500]	Loss: 2.3493	LR: 0.069892
Training Epoch: 1 [33792/47500]	Loss: 2.5004	LR: 0.070430
Training Epoch: 1 [34048/47500]	Loss: 2.3037	LR: 0.070968
Training Epoch: 1 [34304/47500]	Loss: 2.6712	LR: 0.071505
Training Epoch: 1 [34560/47500]	Loss: 2.4314	LR: 0.072043
Training Epoch: 1 [34816/47500]	Loss: 2.3682	LR: 0.072581
Training Epoch: 1 [35072/47500]	Loss: 2.3925	LR: 0.073118
Training Epoch: 1 [35328/47500]	Loss: 2.4629	LR: 0.073656
Training Epoch: 1 [35584/47500]	Loss: 2.3851	LR: 0.074194
Training Epoch: 1 [35840/47500]	Loss: 2.4594	LR: 0.074731
Training Epoch: 1 [36096/47500]	Loss: 2.3754	LR: 0.075269
Training Epoch: 1 [36352/47500]	Loss: 2.3700	LR: 0.075806
Training Epoch: 1 [36608/47500]	Loss: 2.4420	LR: 0.076344
Training Epoch: 1 [36864/47500]	Loss: 2.4575	LR: 0.076882
Training Epoch: 1 [37120/47500]	Loss: 2.4355	LR: 0.077419
Training Epoch: 1 [37376/47500]	Loss: 2.3879	LR: 0.077957
Training Epoch: 1 [37632/47500]	Loss: 2.3991	LR: 0.078495
Training Epoch: 1 [37888/47500]	Loss: 2.3982	LR: 0.079032
Training Epoch: 1 [38144/47500]	Loss: 2.5871	LR: 0.079570
Training Epoch: 1 [38400/47500]	Loss: 2.3298	LR: 0.080108
Training Epoch: 1 [38656/47500]	Loss: 2.4499	LR: 0.080645
Training Epoch: 1 [38912/47500]	Loss: 2.3756	LR: 0.081183
Training Epoch: 1 [39168/47500]	Loss: 2.3316	LR: 0.081720
Training Epoch: 1 [39424/47500]	Loss: 2.4414	LR: 0.082258
Training Epoch: 1 [39680/47500]	Loss: 2.4292	LR: 0.082796
Training Epoch: 1 [39936/47500]	Loss: 2.4721	LR: 0.083333
Training Epoch: 1 [40192/47500]	Loss: 2.3509	LR: 0.083871
Training Epoch: 1 [40448/47500]	Loss: 2.4140	LR: 0.084409
Training Epoch: 1 [40704/47500]	Loss: 2.3958	LR: 0.084946
Training Epoch: 1 [40960/47500]	Loss: 2.4070	LR: 0.085484
Training Epoch: 1 [41216/47500]	Loss: 2.3916	LR: 0.086022
Training Epoch: 1 [41472/47500]	Loss: 2.6021	LR: 0.086559
Training Epoch: 1 [41728/47500]	Loss: 2.4597	LR: 0.087097
Training Epoch: 1 [41984/47500]	Loss: 2.4380	LR: 0.087634
Training Epoch: 1 [42240/47500]	Loss: 2.4843	LR: 0.088172
Training Epoch: 1 [42496/47500]	Loss: 2.4516	LR: 0.088710
Training Epoch: 1 [42752/47500]	Loss: 2.4605	LR: 0.089247
Training Epoch: 1 [43008/47500]	Loss: 2.4322	LR: 0.089785
Training Epoch: 1 [43264/47500]	Loss: 2.4908	LR: 0.090323
Training Epoch: 1 [43520/47500]	Loss: 2.3798	LR: 0.090860
Training Epoch: 1 [43776/47500]	Loss: 2.3522	LR: 0.091398
Training Epoch: 1 [44032/47500]	Loss: 2.3968	LR: 0.091935
Training Epoch: 1 [44288/47500]	Loss: 2.2622	LR: 0.092473
Training Epoch: 1 [44544/47500]	Loss: 2.4831	LR: 0.093011
Training Epoch: 1 [44800/47500]	Loss: 2.3512	LR: 0.093548
Training Epoch: 1 [45056/47500]	Loss: 2.3175	LR: 0.094086
Training Epoch: 1 [45312/47500]	Loss: 2.3789	LR: 0.094624
Training Epoch: 1 [45568/47500]	Loss: 2.4084	LR: 0.095161
Training Epoch: 1 [45824/47500]	Loss: 2.2994	LR: 0.095699
Training Epoch: 1 [46080/47500]	Loss: 2.4522	LR: 0.096237
Training Epoch: 1 [46336/47500]	Loss: 2.3901	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 2.2762	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 2.2981	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 2.3468	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 2.2841	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 2.4026	LR: 0.099462
Epoch 1 - Average Train Loss: 2.5415, Train Accuracy: 0.2200
Epoch 1 training time consumed: 29.24s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0099, Accuracy: 0.2439, Time consumed:1.06s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_22h_22m_08s/ResNet18-Cifar20-seed9-ret50-1-best.pth
Training Epoch: 2 [256/47500]	Loss: 2.3012	LR: 0.100000
Training Epoch: 2 [512/47500]	Loss: 2.2756	LR: 0.100000
Training Epoch: 2 [768/47500]	Loss: 2.2711	LR: 0.100000
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Epoch 2 - Average Train Loss: 2.1637, Train Accuracy: 0.3300
Epoch 2 training time consumed: 28.42s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0090, Accuracy: 0.3173, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_22h_22m_08s/ResNet18-Cifar20-seed9-ret50-2-best.pth
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Epoch 3 - Average Train Loss: 1.9011, Train Accuracy: 0.4014
Epoch 3 training time consumed: 28.30s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0070, Accuracy: 0.4519, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_22h_22m_08s/ResNet18-Cifar20-seed9-ret50-3-best.pth
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Epoch 4 - Average Train Loss: 1.6909, Train Accuracy: 0.4654
Epoch 4 training time consumed: 28.35s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0081, Accuracy: 0.3857, Time consumed:0.93s
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Epoch 5 - Average Train Loss: 1.5288, Train Accuracy: 0.5144
Epoch 5 training time consumed: 28.38s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0062, Accuracy: 0.4992, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_22h_22m_08s/ResNet18-Cifar20-seed9-ret50-5-best.pth
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Training Epoch: 6 [47500/47500]	Loss: 1.4338	LR: 0.100000
Epoch 6 - Average Train Loss: 1.3901, Train Accuracy: 0.5519
Epoch 6 training time consumed: 28.19s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0057, Accuracy: 0.5502, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_22h_22m_08s/ResNet18-Cifar20-seed9-ret50-6-best.pth
Training Epoch: 7 [256/47500]	Loss: 1.2520	LR: 0.100000
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Training Epoch: 7 [47500/47500]	Loss: 1.2855	LR: 0.100000
Epoch 7 - Average Train Loss: 1.2835, Train Accuracy: 0.5872
Epoch 7 training time consumed: 28.44s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0058, Accuracy: 0.5483, Time consumed:0.90s
Training Epoch: 8 [256/47500]	Loss: 1.3599	LR: 0.100000
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Training Epoch: 8 [47500/47500]	Loss: 1.1931	LR: 0.100000
Epoch 8 - Average Train Loss: 1.1907, Train Accuracy: 0.6172
Epoch 8 training time consumed: 28.45s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0051, Accuracy: 0.5988, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_22h_22m_08s/ResNet18-Cifar20-seed9-ret50-8-best.pth
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Training Epoch: 9 [45568/47500]	Loss: 0.9911	LR: 0.100000
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Training Epoch: 9 [47500/47500]	Loss: 1.2007	LR: 0.100000
Epoch 9 - Average Train Loss: 1.1138, Train Accuracy: 0.6387
Epoch 9 training time consumed: 28.15s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0048, Accuracy: 0.6154, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_22h_22m_08s/ResNet18-Cifar20-seed9-ret50-9-best.pth
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Training Epoch: 10 [47500/47500]	Loss: 1.1872	LR: 0.100000
Epoch 10 - Average Train Loss: 1.0589, Train Accuracy: 0.6547
Epoch 10 training time consumed: 28.30s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0048, Accuracy: 0.6082, Time consumed:0.90s
Training Epoch: 11 [256/47500]	Loss: 0.8893	LR: 0.100000
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Training Epoch: 11 [47500/47500]	Loss: 1.2691	LR: 0.100000
Epoch 11 - Average Train Loss: 1.0000, Train Accuracy: 0.6761
Epoch 11 training time consumed: 28.29s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0047, Accuracy: 0.6228, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_22h_22m_08s/ResNet18-Cifar20-seed9-ret50-11-best.pth
Training Epoch: 12 [256/47500]	Loss: 0.9258	LR: 0.100000
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Training Epoch: 12 [47500/47500]	Loss: 0.8872	LR: 0.100000
Epoch 12 - Average Train Loss: 0.9628, Train Accuracy: 0.6888
Epoch 12 training time consumed: 28.42s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0040, Accuracy: 0.6803, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_22h_22m_08s/ResNet18-Cifar20-seed9-ret50-12-best.pth
Training Epoch: 13 [256/47500]	Loss: 0.8715	LR: 0.100000
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Training Epoch: 13 [20480/47500]	Loss: 0.8786	LR: 0.100000
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Training Epoch: 13 [30720/47500]	Loss: 0.9866	LR: 0.100000
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Training Epoch: 13 [31744/47500]	Loss: 1.0156	LR: 0.100000
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Training Epoch: 13 [35840/47500]	Loss: 0.9216	LR: 0.100000
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Training Epoch: 13 [36352/47500]	Loss: 1.0799	LR: 0.100000
Training Epoch: 13 [36608/47500]	Loss: 0.7968	LR: 0.100000
Training Epoch: 13 [36864/47500]	Loss: 0.9306	LR: 0.100000
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Training Epoch: 13 [37376/47500]	Loss: 0.8399	LR: 0.100000
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Training Epoch: 13 [37888/47500]	Loss: 0.8959	LR: 0.100000
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Training Epoch: 13 [39936/47500]	Loss: 0.9364	LR: 0.100000
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Training Epoch: 13 [40448/47500]	Loss: 0.9347	LR: 0.100000
Training Epoch: 13 [40704/47500]	Loss: 0.7325	LR: 0.100000
Training Epoch: 13 [40960/47500]	Loss: 0.9508	LR: 0.100000
Training Epoch: 13 [41216/47500]	Loss: 0.7286	LR: 0.100000
Training Epoch: 13 [41472/47500]	Loss: 0.8849	LR: 0.100000
Training Epoch: 13 [41728/47500]	Loss: 1.0336	LR: 0.100000
Training Epoch: 13 [41984/47500]	Loss: 0.9860	LR: 0.100000
Training Epoch: 13 [42240/47500]	Loss: 0.9229	LR: 0.100000
Training Epoch: 13 [42496/47500]	Loss: 1.1287	LR: 0.100000
Training Epoch: 13 [42752/47500]	Loss: 0.8296	LR: 0.100000
Training Epoch: 13 [43008/47500]	Loss: 0.8439	LR: 0.100000
Training Epoch: 13 [43264/47500]	Loss: 0.9647	LR: 0.100000
Training Epoch: 13 [43520/47500]	Loss: 0.9316	LR: 0.100000
Training Epoch: 13 [43776/47500]	Loss: 0.8545	LR: 0.100000
Training Epoch: 13 [44032/47500]	Loss: 0.9867	LR: 0.100000
Training Epoch: 13 [44288/47500]	Loss: 0.9606	LR: 0.100000
Training Epoch: 13 [44544/47500]	Loss: 0.8429	LR: 0.100000
Training Epoch: 13 [44800/47500]	Loss: 0.9011	LR: 0.100000
Training Epoch: 13 [45056/47500]	Loss: 0.8288	LR: 0.100000
Training Epoch: 13 [45312/47500]	Loss: 0.9771	LR: 0.100000
Training Epoch: 13 [45568/47500]	Loss: 0.9658	LR: 0.100000
Training Epoch: 13 [45824/47500]	Loss: 1.0013	LR: 0.100000
Training Epoch: 13 [46080/47500]	Loss: 0.8452	LR: 0.100000
Training Epoch: 13 [46336/47500]	Loss: 0.9384	LR: 0.100000
Training Epoch: 13 [46592/47500]	Loss: 0.9162	LR: 0.100000
Training Epoch: 13 [46848/47500]	Loss: 0.9393	LR: 0.100000
Training Epoch: 13 [47104/47500]	Loss: 0.9253	LR: 0.100000
Training Epoch: 13 [47360/47500]	Loss: 0.9906	LR: 0.100000
Training Epoch: 13 [47500/47500]	Loss: 0.9817	LR: 0.100000
Epoch 13 - Average Train Loss: 0.9198, Train Accuracy: 0.7035
Epoch 13 training time consumed: 28.37s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0049, Accuracy: 0.6275, Time consumed:0.87s
Training Epoch: 14 [256/47500]	Loss: 0.9711	LR: 0.100000
Training Epoch: 14 [512/47500]	Loss: 0.8123	LR: 0.100000
Training Epoch: 14 [768/47500]	Loss: 0.8272	LR: 0.100000
Training Epoch: 14 [1024/47500]	Loss: 0.8679	LR: 0.100000
Training Epoch: 14 [1280/47500]	Loss: 0.8177	LR: 0.100000
Training Epoch: 14 [1536/47500]	Loss: 0.8765	LR: 0.100000
Training Epoch: 14 [1792/47500]	Loss: 0.8074	LR: 0.100000
Training Epoch: 14 [2048/47500]	Loss: 0.9140	LR: 0.100000
Training Epoch: 14 [2304/47500]	Loss: 0.9042	LR: 0.100000
Training Epoch: 14 [2560/47500]	Loss: 0.8551	LR: 0.100000
Training Epoch: 14 [2816/47500]	Loss: 0.8618	LR: 0.100000
Training Epoch: 14 [3072/47500]	Loss: 0.9399	LR: 0.100000
Training Epoch: 14 [3328/47500]	Loss: 0.7959	LR: 0.100000
Training Epoch: 14 [3584/47500]	Loss: 0.9446	LR: 0.100000
Training Epoch: 14 [3840/47500]	Loss: 0.8818	LR: 0.100000
Training Epoch: 14 [4096/47500]	Loss: 0.8328	LR: 0.100000
Training Epoch: 14 [4352/47500]	Loss: 0.6905	LR: 0.100000
Training Epoch: 14 [4608/47500]	Loss: 0.9296	LR: 0.100000
Training Epoch: 14 [4864/47500]	Loss: 0.9246	LR: 0.100000
Training Epoch: 14 [5120/47500]	Loss: 0.8946	LR: 0.100000
Training Epoch: 14 [5376/47500]	Loss: 0.9947	LR: 0.100000
Training Epoch: 14 [5632/47500]	Loss: 0.9128	LR: 0.100000
Training Epoch: 14 [5888/47500]	Loss: 0.7444	LR: 0.100000
Training Epoch: 14 [6144/47500]	Loss: 0.9946	LR: 0.100000
Training Epoch: 14 [6400/47500]	Loss: 0.8935	LR: 0.100000
Training Epoch: 14 [6656/47500]	Loss: 0.9491	LR: 0.100000
Training Epoch: 14 [6912/47500]	Loss: 0.9035	LR: 0.100000
Training Epoch: 14 [7168/47500]	Loss: 0.8470	LR: 0.100000
Training Epoch: 14 [7424/47500]	Loss: 0.9143	LR: 0.100000
Training Epoch: 14 [7680/47500]	Loss: 0.9345	LR: 0.100000
Training Epoch: 14 [7936/47500]	Loss: 0.9850	LR: 0.100000
Training Epoch: 14 [8192/47500]	Loss: 0.9414	LR: 0.100000
Training Epoch: 14 [8448/47500]	Loss: 0.9050	LR: 0.100000
Training Epoch: 14 [8704/47500]	Loss: 0.7987	LR: 0.100000
Training Epoch: 14 [8960/47500]	Loss: 0.9148	LR: 0.100000
Training Epoch: 14 [9216/47500]	Loss: 1.0322	LR: 0.100000
Training Epoch: 14 [9472/47500]	Loss: 0.7325	LR: 0.100000
Training Epoch: 14 [9728/47500]	Loss: 0.8643	LR: 0.100000
Training Epoch: 14 [9984/47500]	Loss: 0.8979	LR: 0.100000
Training Epoch: 14 [10240/47500]	Loss: 0.9293	LR: 0.100000
Training Epoch: 14 [10496/47500]	Loss: 0.9070	LR: 0.100000
Training Epoch: 14 [10752/47500]	Loss: 0.8936	LR: 0.100000
Training Epoch: 14 [11008/47500]	Loss: 0.8279	LR: 0.100000
Training Epoch: 14 [11264/47500]	Loss: 0.9071	LR: 0.100000
Training Epoch: 14 [11520/47500]	Loss: 0.7777	LR: 0.100000
Training Epoch: 14 [11776/47500]	Loss: 0.9136	LR: 0.100000
Training Epoch: 14 [12032/47500]	Loss: 0.8012	LR: 0.100000
Training Epoch: 14 [12288/47500]	Loss: 0.8535	LR: 0.100000
Training Epoch: 14 [12544/47500]	Loss: 0.9268	LR: 0.100000
Training Epoch: 14 [12800/47500]	Loss: 0.7873	LR: 0.100000
Training Epoch: 14 [13056/47500]	Loss: 0.8804	LR: 0.100000
Training Epoch: 14 [13312/47500]	Loss: 1.0020	LR: 0.100000
Training Epoch: 14 [13568/47500]	Loss: 0.9072	LR: 0.100000
Training Epoch: 14 [13824/47500]	Loss: 0.9757	LR: 0.100000
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Training Epoch: 14 [15616/47500]	Loss: 0.9545	LR: 0.100000
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Training Epoch: 14 [16128/47500]	Loss: 0.9184	LR: 0.100000
Training Epoch: 14 [16384/47500]	Loss: 0.8635	LR: 0.100000
Training Epoch: 14 [16640/47500]	Loss: 0.9272	LR: 0.100000
Training Epoch: 14 [16896/47500]	Loss: 0.7800	LR: 0.100000
Training Epoch: 14 [17152/47500]	Loss: 1.0687	LR: 0.100000
Training Epoch: 14 [17408/47500]	Loss: 0.9957	LR: 0.100000
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Training Epoch: 14 [19200/47500]	Loss: 0.8852	LR: 0.100000
Training Epoch: 14 [19456/47500]	Loss: 0.8368	LR: 0.100000
Training Epoch: 14 [19712/47500]	Loss: 0.8889	LR: 0.100000
Training Epoch: 14 [19968/47500]	Loss: 0.9510	LR: 0.100000
Training Epoch: 14 [20224/47500]	Loss: 0.9262	LR: 0.100000
Training Epoch: 14 [20480/47500]	Loss: 0.6738	LR: 0.100000
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Training Epoch: 14 [24832/47500]	Loss: 1.0611	LR: 0.100000
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Training Epoch: 14 [30464/47500]	Loss: 0.7340	LR: 0.100000
Training Epoch: 14 [30720/47500]	Loss: 0.9212	LR: 0.100000
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Training Epoch: 14 [31744/47500]	Loss: 0.8381	LR: 0.100000
Training Epoch: 14 [32000/47500]	Loss: 1.1120	LR: 0.100000
Training Epoch: 14 [32256/47500]	Loss: 1.0860	LR: 0.100000
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Training Epoch: 14 [33792/47500]	Loss: 0.9646	LR: 0.100000
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Training Epoch: 14 [47500/47500]	Loss: 0.9502	LR: 0.100000
Epoch 14 - Average Train Loss: 0.9035, Train Accuracy: 0.7076
Epoch 14 training time consumed: 28.37s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0040, Accuracy: 0.6777, Time consumed:0.91s
Training Epoch: 15 [256/47500]	Loss: 0.7692	LR: 0.020000
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Training Epoch: 15 [47500/47500]	Loss: 0.5887	LR: 0.020000
Epoch 15 - Average Train Loss: 0.6558, Train Accuracy: 0.7867
Epoch 15 training time consumed: 28.33s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0030, Accuracy: 0.7580, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_22h_22m_08s/ResNet18-Cifar20-seed9-ret50-15-best.pth
Training Epoch: 16 [256/47500]	Loss: 0.6129	LR: 0.020000
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Training Epoch: 16 [47500/47500]	Loss: 0.5127	LR: 0.020000
Epoch 16 - Average Train Loss: 0.5773, Train Accuracy: 0.8113
Epoch 16 training time consumed: 28.40s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0029, Accuracy: 0.7676, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_22h_22m_08s/ResNet18-Cifar20-seed9-ret50-16-best.pth
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Training Epoch: 17 [47500/47500]	Loss: 0.6041	LR: 0.020000
Epoch 17 - Average Train Loss: 0.5395, Train Accuracy: 0.8239
Epoch 17 training time consumed: 28.41s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0029, Accuracy: 0.7704, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_22h_22m_08s/ResNet18-Cifar20-seed9-ret50-17-best.pth
Training Epoch: 18 [256/47500]	Loss: 0.5500	LR: 0.020000
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Training Epoch: 18 [47500/47500]	Loss: 0.5511	LR: 0.020000
Epoch 18 - Average Train Loss: 0.5133, Train Accuracy: 0.8328
Epoch 18 training time consumed: 28.38s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0028, Accuracy: 0.7715, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_22h_22m_08s/ResNet18-Cifar20-seed9-ret50-18-best.pth
Training Epoch: 19 [256/47500]	Loss: 0.4668	LR: 0.020000
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Training Epoch: 19 [13824/47500]	Loss: 0.5517	LR: 0.020000
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Training Epoch: 19 [14336/47500]	Loss: 0.4207	LR: 0.020000
Training Epoch: 19 [14592/47500]	Loss: 0.5349	LR: 0.020000
Training Epoch: 19 [14848/47500]	Loss: 0.5644	LR: 0.020000
Training Epoch: 19 [15104/47500]	Loss: 0.3718	LR: 0.020000
Training Epoch: 19 [15360/47500]	Loss: 0.4929	LR: 0.020000
Training Epoch: 19 [15616/47500]	Loss: 0.4854	LR: 0.020000
Training Epoch: 19 [15872/47500]	Loss: 0.4755	LR: 0.020000
Training Epoch: 19 [16128/47500]	Loss: 0.4160	LR: 0.020000
Training Epoch: 19 [16384/47500]	Loss: 0.4271	LR: 0.020000
Training Epoch: 19 [16640/47500]	Loss: 0.4694	LR: 0.020000
Training Epoch: 19 [16896/47500]	Loss: 0.5352	LR: 0.020000
Training Epoch: 19 [17152/47500]	Loss: 0.4992	LR: 0.020000
Training Epoch: 19 [17408/47500]	Loss: 0.5321	LR: 0.020000
Training Epoch: 19 [17664/47500]	Loss: 0.5150	LR: 0.020000
Training Epoch: 19 [17920/47500]	Loss: 0.4461	LR: 0.020000
Training Epoch: 19 [18176/47500]	Loss: 0.5308	LR: 0.020000
Training Epoch: 19 [18432/47500]	Loss: 0.5499	LR: 0.020000
Training Epoch: 19 [18688/47500]	Loss: 0.4436	LR: 0.020000
Training Epoch: 19 [18944/47500]	Loss: 0.4363	LR: 0.020000
Training Epoch: 19 [19200/47500]	Loss: 0.4271	LR: 0.020000
Training Epoch: 19 [19456/47500]	Loss: 0.4983	LR: 0.020000
Training Epoch: 19 [19712/47500]	Loss: 0.4480	LR: 0.020000
Training Epoch: 19 [19968/47500]	Loss: 0.4534	LR: 0.020000
Training Epoch: 19 [20224/47500]	Loss: 0.5470	LR: 0.020000
Training Epoch: 19 [20480/47500]	Loss: 0.4853	LR: 0.020000
Training Epoch: 19 [20736/47500]	Loss: 0.4583	LR: 0.020000
Training Epoch: 19 [20992/47500]	Loss: 0.4771	LR: 0.020000
Training Epoch: 19 [21248/47500]	Loss: 0.4289	LR: 0.020000
Training Epoch: 19 [21504/47500]	Loss: 0.5142	LR: 0.020000
Training Epoch: 19 [21760/47500]	Loss: 0.4158	LR: 0.020000
Training Epoch: 19 [22016/47500]	Loss: 0.4051	LR: 0.020000
Training Epoch: 19 [22272/47500]	Loss: 0.4783	LR: 0.020000
Training Epoch: 19 [22528/47500]	Loss: 0.4117	LR: 0.020000
Training Epoch: 19 [22784/47500]	Loss: 0.4404	LR: 0.020000
Training Epoch: 19 [23040/47500]	Loss: 0.4680	LR: 0.020000
Training Epoch: 19 [23296/47500]	Loss: 0.5205	LR: 0.020000
Training Epoch: 19 [23552/47500]	Loss: 0.5319	LR: 0.020000
Training Epoch: 19 [23808/47500]	Loss: 0.5486	LR: 0.020000
Training Epoch: 19 [24064/47500]	Loss: 0.3959	LR: 0.020000
Training Epoch: 19 [24320/47500]	Loss: 0.4017	LR: 0.020000
Training Epoch: 19 [24576/47500]	Loss: 0.4285	LR: 0.020000
Training Epoch: 19 [24832/47500]	Loss: 0.3851	LR: 0.020000
Training Epoch: 19 [25088/47500]	Loss: 0.6351	LR: 0.020000
Training Epoch: 19 [25344/47500]	Loss: 0.5502	LR: 0.020000
Training Epoch: 19 [25600/47500]	Loss: 0.4804	LR: 0.020000
Training Epoch: 19 [25856/47500]	Loss: 0.5127	LR: 0.020000
Training Epoch: 19 [26112/47500]	Loss: 0.5034	LR: 0.020000
Training Epoch: 19 [26368/47500]	Loss: 0.4555	LR: 0.020000
Training Epoch: 19 [26624/47500]	Loss: 0.5149	LR: 0.020000
Training Epoch: 19 [26880/47500]	Loss: 0.4932	LR: 0.020000
Training Epoch: 19 [27136/47500]	Loss: 0.5911	LR: 0.020000
Training Epoch: 19 [27392/47500]	Loss: 0.4483	LR: 0.020000
Training Epoch: 19 [27648/47500]	Loss: 0.4519	LR: 0.020000
Training Epoch: 19 [27904/47500]	Loss: 0.4286	LR: 0.020000
Training Epoch: 19 [28160/47500]	Loss: 0.4660	LR: 0.020000
Training Epoch: 19 [28416/47500]	Loss: 0.5000	LR: 0.020000
Training Epoch: 19 [28672/47500]	Loss: 0.4059	LR: 0.020000
Training Epoch: 19 [28928/47500]	Loss: 0.4043	LR: 0.020000
Training Epoch: 19 [29184/47500]	Loss: 0.5055	LR: 0.020000
Training Epoch: 19 [29440/47500]	Loss: 0.4922	LR: 0.020000
Training Epoch: 19 [29696/47500]	Loss: 0.4714	LR: 0.020000
Training Epoch: 19 [29952/47500]	Loss: 0.3783	LR: 0.020000
Training Epoch: 19 [30208/47500]	Loss: 0.4466	LR: 0.020000
Training Epoch: 19 [30464/47500]	Loss: 0.3455	LR: 0.020000
Training Epoch: 19 [30720/47500]	Loss: 0.4579	LR: 0.020000
Training Epoch: 19 [30976/47500]	Loss: 0.5408	LR: 0.020000
Training Epoch: 19 [31232/47500]	Loss: 0.5375	LR: 0.020000
Training Epoch: 19 [31488/47500]	Loss: 0.5561	LR: 0.020000
Training Epoch: 19 [31744/47500]	Loss: 0.4804	LR: 0.020000
Training Epoch: 19 [32000/47500]	Loss: 0.4686	LR: 0.020000
Training Epoch: 19 [32256/47500]	Loss: 0.5258	LR: 0.020000
Training Epoch: 19 [32512/47500]	Loss: 0.4867	LR: 0.020000
Training Epoch: 19 [32768/47500]	Loss: 0.5560	LR: 0.020000
Training Epoch: 19 [33024/47500]	Loss: 0.5041	LR: 0.020000
Training Epoch: 19 [33280/47500]	Loss: 0.4957	LR: 0.020000
Training Epoch: 19 [33536/47500]	Loss: 0.5171	LR: 0.020000
Training Epoch: 19 [33792/47500]	Loss: 0.5018	LR: 0.020000
Training Epoch: 19 [34048/47500]	Loss: 0.4598	LR: 0.020000
Training Epoch: 19 [34304/47500]	Loss: 0.4320	LR: 0.020000
Training Epoch: 19 [34560/47500]	Loss: 0.4193	LR: 0.020000
Training Epoch: 19 [34816/47500]	Loss: 0.4201	LR: 0.020000
Training Epoch: 19 [35072/47500]	Loss: 0.4948	LR: 0.020000
Training Epoch: 19 [35328/47500]	Loss: 0.5087	LR: 0.020000
Training Epoch: 19 [35584/47500]	Loss: 0.4680	LR: 0.020000
Training Epoch: 19 [35840/47500]	Loss: 0.4540	LR: 0.020000
Training Epoch: 19 [36096/47500]	Loss: 0.4994	LR: 0.020000
Training Epoch: 19 [36352/47500]	Loss: 0.4387	LR: 0.020000
Training Epoch: 19 [36608/47500]	Loss: 0.5119	LR: 0.020000
Training Epoch: 19 [36864/47500]	Loss: 0.3748	LR: 0.020000
Training Epoch: 19 [37120/47500]	Loss: 0.3684	LR: 0.020000
Training Epoch: 19 [37376/47500]	Loss: 0.4854	LR: 0.020000
Training Epoch: 19 [37632/47500]	Loss: 0.5928	LR: 0.020000
Training Epoch: 19 [37888/47500]	Loss: 0.4893	LR: 0.020000
Training Epoch: 19 [38144/47500]	Loss: 0.5017	LR: 0.020000
Training Epoch: 19 [38400/47500]	Loss: 0.5101	LR: 0.020000
Training Epoch: 19 [38656/47500]	Loss: 0.4731	LR: 0.020000
Training Epoch: 19 [38912/47500]	Loss: 0.6002	LR: 0.020000
Training Epoch: 19 [39168/47500]	Loss: 0.4887	LR: 0.020000
Training Epoch: 19 [39424/47500]	Loss: 0.6441	LR: 0.020000
Training Epoch: 19 [39680/47500]	Loss: 0.4883	LR: 0.020000
Training Epoch: 19 [39936/47500]	Loss: 0.3742	LR: 0.020000
Training Epoch: 19 [40192/47500]	Loss: 0.4601	LR: 0.020000
Training Epoch: 19 [40448/47500]	Loss: 0.4600	LR: 0.020000
Training Epoch: 19 [40704/47500]	Loss: 0.5332	LR: 0.020000
Training Epoch: 19 [40960/47500]	Loss: 0.5187	LR: 0.020000
Training Epoch: 19 [41216/47500]	Loss: 0.4763	LR: 0.020000
Training Epoch: 19 [41472/47500]	Loss: 0.5320	LR: 0.020000
Training Epoch: 19 [41728/47500]	Loss: 0.5612	LR: 0.020000
Training Epoch: 19 [41984/47500]	Loss: 0.5036	LR: 0.020000
Training Epoch: 19 [42240/47500]	Loss: 0.4733	LR: 0.020000
Training Epoch: 19 [42496/47500]	Loss: 0.5221	LR: 0.020000
Training Epoch: 19 [42752/47500]	Loss: 0.5456	LR: 0.020000
Training Epoch: 19 [43008/47500]	Loss: 0.5844	LR: 0.020000
Training Epoch: 19 [43264/47500]	Loss: 0.5506	LR: 0.020000
Training Epoch: 19 [43520/47500]	Loss: 0.6182	LR: 0.020000
Training Epoch: 19 [43776/47500]	Loss: 0.3875	LR: 0.020000
Training Epoch: 19 [44032/47500]	Loss: 0.5474	LR: 0.020000
Training Epoch: 19 [44288/47500]	Loss: 0.4686	LR: 0.020000
Training Epoch: 19 [44544/47500]	Loss: 0.5679	LR: 0.020000
Training Epoch: 19 [44800/47500]	Loss: 0.4175	LR: 0.020000
Training Epoch: 19 [45056/47500]	Loss: 0.4912	LR: 0.020000
Training Epoch: 19 [45312/47500]	Loss: 0.5487	LR: 0.020000
Training Epoch: 19 [45568/47500]	Loss: 0.6068	LR: 0.020000
Training Epoch: 19 [45824/47500]	Loss: 0.6056	LR: 0.020000
Training Epoch: 19 [46080/47500]	Loss: 0.4965	LR: 0.020000
Training Epoch: 19 [46336/47500]	Loss: 0.5134	LR: 0.020000
Training Epoch: 19 [46592/47500]	Loss: 0.4416	LR: 0.020000
Training Epoch: 19 [46848/47500]	Loss: 0.5214	LR: 0.020000
Training Epoch: 19 [47104/47500]	Loss: 0.5282	LR: 0.020000
Training Epoch: 19 [47360/47500]	Loss: 0.5945	LR: 0.020000
Training Epoch: 19 [47500/47500]	Loss: 0.5826	LR: 0.020000
Epoch 19 - Average Train Loss: 0.4821, Train Accuracy: 0.8408
Epoch 19 training time consumed: 28.78s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0031, Accuracy: 0.7616, Time consumed:0.91s
Training Epoch: 20 [256/47500]	Loss: 0.4968	LR: 0.020000
Training Epoch: 20 [512/47500]	Loss: 0.4394	LR: 0.020000
Training Epoch: 20 [768/47500]	Loss: 0.3733	LR: 0.020000
Training Epoch: 20 [1024/47500]	Loss: 0.4538	LR: 0.020000
Training Epoch: 20 [1280/47500]	Loss: 0.4008	LR: 0.020000
Training Epoch: 20 [1536/47500]	Loss: 0.3954	LR: 0.020000
Training Epoch: 20 [1792/47500]	Loss: 0.4309	LR: 0.020000
Training Epoch: 20 [2048/47500]	Loss: 0.4016	LR: 0.020000
Training Epoch: 20 [2304/47500]	Loss: 0.4189	LR: 0.020000
Training Epoch: 20 [2560/47500]	Loss: 0.5438	LR: 0.020000
Training Epoch: 20 [2816/47500]	Loss: 0.5195	LR: 0.020000
Training Epoch: 20 [3072/47500]	Loss: 0.5132	LR: 0.020000
Training Epoch: 20 [3328/47500]	Loss: 0.4762	LR: 0.020000
Training Epoch: 20 [3584/47500]	Loss: 0.4567	LR: 0.020000
Training Epoch: 20 [3840/47500]	Loss: 0.4232	LR: 0.020000
Training Epoch: 20 [4096/47500]	Loss: 0.4954	LR: 0.020000
Training Epoch: 20 [4352/47500]	Loss: 0.4106	LR: 0.020000
Training Epoch: 20 [4608/47500]	Loss: 0.4948	LR: 0.020000
Training Epoch: 20 [4864/47500]	Loss: 0.4492	LR: 0.020000
Training Epoch: 20 [5120/47500]	Loss: 0.3769	LR: 0.020000
Training Epoch: 20 [5376/47500]	Loss: 0.4375	LR: 0.020000
Training Epoch: 20 [5632/47500]	Loss: 0.4730	LR: 0.020000
Training Epoch: 20 [5888/47500]	Loss: 0.4939	LR: 0.020000
Training Epoch: 20 [6144/47500]	Loss: 0.4808	LR: 0.020000
Training Epoch: 20 [6400/47500]	Loss: 0.5041	LR: 0.020000
Training Epoch: 20 [6656/47500]	Loss: 0.4364	LR: 0.020000
Training Epoch: 20 [6912/47500]	Loss: 0.4439	LR: 0.020000
Training Epoch: 20 [7168/47500]	Loss: 0.3813	LR: 0.020000
Training Epoch: 20 [7424/47500]	Loss: 0.3727	LR: 0.020000
Training Epoch: 20 [7680/47500]	Loss: 0.4408	LR: 0.020000
Training Epoch: 20 [7936/47500]	Loss: 0.4146	LR: 0.020000
Training Epoch: 20 [8192/47500]	Loss: 0.4669	LR: 0.020000
Training Epoch: 20 [8448/47500]	Loss: 0.4912	LR: 0.020000
Training Epoch: 20 [8704/47500]	Loss: 0.5720	LR: 0.020000
Training Epoch: 20 [8960/47500]	Loss: 0.5966	LR: 0.020000
Training Epoch: 20 [9216/47500]	Loss: 0.4195	LR: 0.020000
Training Epoch: 20 [9472/47500]	Loss: 0.4661	LR: 0.020000
Training Epoch: 20 [9728/47500]	Loss: 0.4172	LR: 0.020000
Training Epoch: 20 [9984/47500]	Loss: 0.5341	LR: 0.020000
Training Epoch: 20 [10240/47500]	Loss: 0.4078	LR: 0.020000
Training Epoch: 20 [10496/47500]	Loss: 0.4204	LR: 0.020000
Training Epoch: 20 [10752/47500]	Loss: 0.4700	LR: 0.020000
Training Epoch: 20 [11008/47500]	Loss: 0.3567	LR: 0.020000
Training Epoch: 20 [11264/47500]	Loss: 0.4127	LR: 0.020000
Training Epoch: 20 [11520/47500]	Loss: 0.4682	LR: 0.020000
Training Epoch: 20 [11776/47500]	Loss: 0.6068	LR: 0.020000
Training Epoch: 20 [12032/47500]	Loss: 0.4289	LR: 0.020000
Training Epoch: 20 [12288/47500]	Loss: 0.4263	LR: 0.020000
Training Epoch: 20 [12544/47500]	Loss: 0.4230	LR: 0.020000
Training Epoch: 20 [12800/47500]	Loss: 0.4606	LR: 0.020000
Training Epoch: 20 [13056/47500]	Loss: 0.4034	LR: 0.020000
Training Epoch: 20 [13312/47500]	Loss: 0.4638	LR: 0.020000
Training Epoch: 20 [13568/47500]	Loss: 0.3634	LR: 0.020000
Training Epoch: 20 [13824/47500]	Loss: 0.4839	LR: 0.020000
Training Epoch: 20 [14080/47500]	Loss: 0.5709	LR: 0.020000
Training Epoch: 20 [14336/47500]	Loss: 0.4689	LR: 0.020000
Training Epoch: 20 [14592/47500]	Loss: 0.3808	LR: 0.020000
Training Epoch: 20 [14848/47500]	Loss: 0.4057	LR: 0.020000
Training Epoch: 20 [15104/47500]	Loss: 0.5483	LR: 0.020000
Training Epoch: 20 [15360/47500]	Loss: 0.4943	LR: 0.020000
Training Epoch: 20 [15616/47500]	Loss: 0.4256	LR: 0.020000
Training Epoch: 20 [15872/47500]	Loss: 0.3871	LR: 0.020000
Training Epoch: 20 [16128/47500]	Loss: 0.4407	LR: 0.020000
Training Epoch: 20 [16384/47500]	Loss: 0.5142	LR: 0.020000
Training Epoch: 20 [16640/47500]	Loss: 0.4733	LR: 0.020000
Training Epoch: 20 [16896/47500]	Loss: 0.5235	LR: 0.020000
Training Epoch: 20 [17152/47500]	Loss: 0.4364	LR: 0.020000
Training Epoch: 20 [17408/47500]	Loss: 0.5547	LR: 0.020000
Training Epoch: 20 [17664/47500]	Loss: 0.4606	LR: 0.020000
Training Epoch: 20 [17920/47500]	Loss: 0.4251	LR: 0.020000
Training Epoch: 20 [18176/47500]	Loss: 0.4757	LR: 0.020000
Training Epoch: 20 [18432/47500]	Loss: 0.5620	LR: 0.020000
Training Epoch: 20 [18688/47500]	Loss: 0.3953	LR: 0.020000
Training Epoch: 20 [18944/47500]	Loss: 0.4946	LR: 0.020000
Training Epoch: 20 [19200/47500]	Loss: 0.4671	LR: 0.020000
Training Epoch: 20 [19456/47500]	Loss: 0.4758	LR: 0.020000
Training Epoch: 20 [19712/47500]	Loss: 0.5209	LR: 0.020000
Training Epoch: 20 [19968/47500]	Loss: 0.4919	LR: 0.020000
Training Epoch: 20 [20224/47500]	Loss: 0.4126	LR: 0.020000
Training Epoch: 20 [20480/47500]	Loss: 0.4982	LR: 0.020000
Training Epoch: 20 [20736/47500]	Loss: 0.4017	LR: 0.020000
Training Epoch: 20 [20992/47500]	Loss: 0.4854	LR: 0.020000
Training Epoch: 20 [21248/47500]	Loss: 0.4001	LR: 0.020000
Training Epoch: 20 [21504/47500]	Loss: 0.5249	LR: 0.020000
Training Epoch: 20 [21760/47500]	Loss: 0.4965	LR: 0.020000
Training Epoch: 20 [22016/47500]	Loss: 0.4108	LR: 0.020000
Training Epoch: 20 [22272/47500]	Loss: 0.4823	LR: 0.020000
Training Epoch: 20 [22528/47500]	Loss: 0.6277	LR: 0.020000
Training Epoch: 20 [22784/47500]	Loss: 0.4669	LR: 0.020000
Training Epoch: 20 [23040/47500]	Loss: 0.4786	LR: 0.020000
Training Epoch: 20 [23296/47500]	Loss: 0.4865	LR: 0.020000
Training Epoch: 20 [23552/47500]	Loss: 0.4916	LR: 0.020000
Training Epoch: 20 [23808/47500]	Loss: 0.4717	LR: 0.020000
Training Epoch: 20 [24064/47500]	Loss: 0.4850	LR: 0.020000
Training Epoch: 20 [24320/47500]	Loss: 0.4901	LR: 0.020000
Training Epoch: 20 [24576/47500]	Loss: 0.4185	LR: 0.020000
Training Epoch: 20 [24832/47500]	Loss: 0.5118	LR: 0.020000
Training Epoch: 20 [25088/47500]	Loss: 0.3621	LR: 0.020000
Training Epoch: 20 [25344/47500]	Loss: 0.5143	LR: 0.020000
Training Epoch: 20 [25600/47500]	Loss: 0.3954	LR: 0.020000
Training Epoch: 20 [25856/47500]	Loss: 0.5246	LR: 0.020000
Training Epoch: 20 [26112/47500]	Loss: 0.5115	LR: 0.020000
Training Epoch: 20 [26368/47500]	Loss: 0.4367	LR: 0.020000
Training Epoch: 20 [26624/47500]	Loss: 0.3988	LR: 0.020000
Training Epoch: 20 [26880/47500]	Loss: 0.4396	LR: 0.020000
Training Epoch: 20 [27136/47500]	Loss: 0.5183	LR: 0.020000
Training Epoch: 20 [27392/47500]	Loss: 0.3864	LR: 0.020000
Training Epoch: 20 [27648/47500]	Loss: 0.5078	LR: 0.020000
Training Epoch: 20 [27904/47500]	Loss: 0.5575	LR: 0.020000
Training Epoch: 20 [28160/47500]	Loss: 0.5624	LR: 0.020000
Training Epoch: 20 [28416/47500]	Loss: 0.5850	LR: 0.020000
Training Epoch: 20 [28672/47500]	Loss: 0.5200	LR: 0.020000
Training Epoch: 20 [28928/47500]	Loss: 0.4270	LR: 0.020000
Training Epoch: 20 [29184/47500]	Loss: 0.3631	LR: 0.020000
Training Epoch: 20 [29440/47500]	Loss: 0.4450	LR: 0.020000
Training Epoch: 20 [29696/47500]	Loss: 0.4602	LR: 0.020000
Training Epoch: 20 [29952/47500]	Loss: 0.5199	LR: 0.020000
Training Epoch: 20 [30208/47500]	Loss: 0.3675	LR: 0.020000
Training Epoch: 20 [30464/47500]	Loss: 0.4022	LR: 0.020000
Training Epoch: 20 [30720/47500]	Loss: 0.5650	LR: 0.020000
Training Epoch: 20 [30976/47500]	Loss: 0.4535	LR: 0.020000
Training Epoch: 20 [31232/47500]	Loss: 0.3926	LR: 0.020000
Training Epoch: 20 [31488/47500]	Loss: 0.5108	LR: 0.020000
Training Epoch: 20 [31744/47500]	Loss: 0.5094	LR: 0.020000
Training Epoch: 20 [32000/47500]	Loss: 0.4078	LR: 0.020000
Training Epoch: 20 [32256/47500]	Loss: 0.4943	LR: 0.020000
Training Epoch: 20 [32512/47500]	Loss: 0.4374	LR: 0.020000
Training Epoch: 20 [32768/47500]	Loss: 0.4411	LR: 0.020000
Training Epoch: 20 [33024/47500]	Loss: 0.4082	LR: 0.020000
Training Epoch: 20 [33280/47500]	Loss: 0.4929	LR: 0.020000
Training Epoch: 20 [33536/47500]	Loss: 0.4944	LR: 0.020000
Training Epoch: 20 [33792/47500]	Loss: 0.4516	LR: 0.020000
Training Epoch: 20 [34048/47500]	Loss: 0.3840	LR: 0.020000
Training Epoch: 20 [34304/47500]	Loss: 0.4227	LR: 0.020000
Training Epoch: 20 [34560/47500]	Loss: 0.5423	LR: 0.020000
Training Epoch: 20 [34816/47500]	Loss: 0.4565	LR: 0.020000
Training Epoch: 20 [35072/47500]	Loss: 0.4884	LR: 0.020000
Training Epoch: 20 [35328/47500]	Loss: 0.4768	LR: 0.020000
Training Epoch: 20 [35584/47500]	Loss: 0.4614	LR: 0.020000
Training Epoch: 20 [35840/47500]	Loss: 0.5007	LR: 0.020000
Training Epoch: 20 [36096/47500]	Loss: 0.4646	LR: 0.020000
Training Epoch: 20 [36352/47500]	Loss: 0.4946	LR: 0.020000
Training Epoch: 20 [36608/47500]	Loss: 0.4973	LR: 0.020000
Training Epoch: 20 [36864/47500]	Loss: 0.5074	LR: 0.020000
Training Epoch: 20 [37120/47500]	Loss: 0.5765	LR: 0.020000
Training Epoch: 20 [37376/47500]	Loss: 0.3790	LR: 0.020000
Training Epoch: 20 [37632/47500]	Loss: 0.4429	LR: 0.020000
Training Epoch: 20 [37888/47500]	Loss: 0.4691	LR: 0.020000
Training Epoch: 20 [38144/47500]	Loss: 0.4405	LR: 0.020000
Training Epoch: 20 [38400/47500]	Loss: 0.4112	LR: 0.020000
Training Epoch: 20 [38656/47500]	Loss: 0.3928	LR: 0.020000
Training Epoch: 20 [38912/47500]	Loss: 0.4882	LR: 0.020000
Training Epoch: 20 [39168/47500]	Loss: 0.5018	LR: 0.020000
Training Epoch: 20 [39424/47500]	Loss: 0.4399	LR: 0.020000
Training Epoch: 20 [39680/47500]	Loss: 0.5214	LR: 0.020000
Training Epoch: 20 [39936/47500]	Loss: 0.5636	LR: 0.020000
Training Epoch: 20 [40192/47500]	Loss: 0.4510	LR: 0.020000
Training Epoch: 20 [40448/47500]	Loss: 0.4305	LR: 0.020000
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Training Epoch: 20 [43264/47500]	Loss: 0.4933	LR: 0.020000
Training Epoch: 20 [43520/47500]	Loss: 0.4038	LR: 0.020000
Training Epoch: 20 [43776/47500]	Loss: 0.4666	LR: 0.020000
Training Epoch: 20 [44032/47500]	Loss: 0.4133	LR: 0.020000
Training Epoch: 20 [44288/47500]	Loss: 0.4412	LR: 0.020000
Training Epoch: 20 [44544/47500]	Loss: 0.4706	LR: 0.020000
Training Epoch: 20 [44800/47500]	Loss: 0.4905	LR: 0.020000
Training Epoch: 20 [45056/47500]	Loss: 0.5805	LR: 0.020000
Training Epoch: 20 [45312/47500]	Loss: 0.5074	LR: 0.020000
Training Epoch: 20 [45568/47500]	Loss: 0.4903	LR: 0.020000
Training Epoch: 20 [45824/47500]	Loss: 0.4501	LR: 0.020000
Training Epoch: 20 [46080/47500]	Loss: 0.4764	LR: 0.020000
Training Epoch: 20 [46336/47500]	Loss: 0.5227	LR: 0.020000
Training Epoch: 20 [46592/47500]	Loss: 0.4590	LR: 0.020000
Training Epoch: 20 [46848/47500]	Loss: 0.4153	LR: 0.020000
Training Epoch: 20 [47104/47500]	Loss: 0.4530	LR: 0.020000
Training Epoch: 20 [47360/47500]	Loss: 0.4553	LR: 0.020000
Training Epoch: 20 [47500/47500]	Loss: 0.4744	LR: 0.020000
Epoch 20 - Average Train Loss: 0.4650, Train Accuracy: 0.8463
Epoch 20 training time consumed: 28.37s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0029, Accuracy: 0.7704, Time consumed:0.88s
Training Epoch: 21 [256/47500]	Loss: 0.4939	LR: 0.020000
Training Epoch: 21 [512/47500]	Loss: 0.3392	LR: 0.020000
Training Epoch: 21 [768/47500]	Loss: 0.3827	LR: 0.020000
Training Epoch: 21 [1024/47500]	Loss: 0.4136	LR: 0.020000
Training Epoch: 21 [1280/47500]	Loss: 0.3257	LR: 0.020000
Training Epoch: 21 [1536/47500]	Loss: 0.4789	LR: 0.020000
Training Epoch: 21 [1792/47500]	Loss: 0.4003	LR: 0.020000
Training Epoch: 21 [2048/47500]	Loss: 0.5055	LR: 0.020000
Training Epoch: 21 [2304/47500]	Loss: 0.4267	LR: 0.020000
Training Epoch: 21 [2560/47500]	Loss: 0.4212	LR: 0.020000
Training Epoch: 21 [2816/47500]	Loss: 0.4177	LR: 0.020000
Training Epoch: 21 [3072/47500]	Loss: 0.4765	LR: 0.020000
Training Epoch: 21 [3328/47500]	Loss: 0.4556	LR: 0.020000
Training Epoch: 21 [3584/47500]	Loss: 0.3735	LR: 0.020000
Training Epoch: 21 [3840/47500]	Loss: 0.4761	LR: 0.020000
Training Epoch: 21 [4096/47500]	Loss: 0.4386	LR: 0.020000
Training Epoch: 21 [4352/47500]	Loss: 0.4175	LR: 0.020000
Training Epoch: 21 [4608/47500]	Loss: 0.3576	LR: 0.020000
Training Epoch: 21 [4864/47500]	Loss: 0.3974	LR: 0.020000
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Training Epoch: 21 [5376/47500]	Loss: 0.4134	LR: 0.020000
Training Epoch: 21 [5632/47500]	Loss: 0.4349	LR: 0.020000
Training Epoch: 21 [5888/47500]	Loss: 0.3480	LR: 0.020000
Training Epoch: 21 [6144/47500]	Loss: 0.4117	LR: 0.020000
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Training Epoch: 21 [6656/47500]	Loss: 0.4599	LR: 0.020000
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Training Epoch: 21 [7168/47500]	Loss: 0.3969	LR: 0.020000
Training Epoch: 21 [7424/47500]	Loss: 0.4237	LR: 0.020000
Training Epoch: 21 [7680/47500]	Loss: 0.4885	LR: 0.020000
Training Epoch: 21 [7936/47500]	Loss: 0.3988	LR: 0.020000
Training Epoch: 21 [8192/47500]	Loss: 0.5207	LR: 0.020000
Training Epoch: 21 [8448/47500]	Loss: 0.4127	LR: 0.020000
Training Epoch: 21 [8704/47500]	Loss: 0.4675	LR: 0.020000
Training Epoch: 21 [8960/47500]	Loss: 0.4164	LR: 0.020000
Training Epoch: 21 [9216/47500]	Loss: 0.4275	LR: 0.020000
Training Epoch: 21 [9472/47500]	Loss: 0.5244	LR: 0.020000
Training Epoch: 21 [9728/47500]	Loss: 0.4195	LR: 0.020000
Training Epoch: 21 [9984/47500]	Loss: 0.4257	LR: 0.020000
Training Epoch: 21 [10240/47500]	Loss: 0.3836	LR: 0.020000
Training Epoch: 21 [10496/47500]	Loss: 0.4525	LR: 0.020000
Training Epoch: 21 [10752/47500]	Loss: 0.4523	LR: 0.020000
Training Epoch: 21 [11008/47500]	Loss: 0.3889	LR: 0.020000
Training Epoch: 21 [11264/47500]	Loss: 0.3783	LR: 0.020000
Training Epoch: 21 [11520/47500]	Loss: 0.3844	LR: 0.020000
Training Epoch: 21 [11776/47500]	Loss: 0.4549	LR: 0.020000
Training Epoch: 21 [12032/47500]	Loss: 0.4016	LR: 0.020000
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Training Epoch: 21 [12544/47500]	Loss: 0.3512	LR: 0.020000
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Training Epoch: 21 [15104/47500]	Loss: 0.5528	LR: 0.020000
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Training Epoch: 21 [16896/47500]	Loss: 0.4284	LR: 0.020000
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Training Epoch: 21 [40192/47500]	Loss: 0.4837	LR: 0.020000
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Training Epoch: 21 [41728/47500]	Loss: 0.3859	LR: 0.020000
Training Epoch: 21 [41984/47500]	Loss: 0.4983	LR: 0.020000
Training Epoch: 21 [42240/47500]	Loss: 0.4827	LR: 0.020000
Training Epoch: 21 [42496/47500]	Loss: 0.4326	LR: 0.020000
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Training Epoch: 21 [43264/47500]	Loss: 0.5063	LR: 0.020000
Training Epoch: 21 [43520/47500]	Loss: 0.5114	LR: 0.020000
Training Epoch: 21 [43776/47500]	Loss: 0.5041	LR: 0.020000
Training Epoch: 21 [44032/47500]	Loss: 0.4637	LR: 0.020000
Training Epoch: 21 [44288/47500]	Loss: 0.5168	LR: 0.020000
Training Epoch: 21 [44544/47500]	Loss: 0.4013	LR: 0.020000
Training Epoch: 21 [44800/47500]	Loss: 0.4173	LR: 0.020000
Training Epoch: 21 [45056/47500]	Loss: 0.4448	LR: 0.020000
Training Epoch: 21 [45312/47500]	Loss: 0.5525	LR: 0.020000
Training Epoch: 21 [45568/47500]	Loss: 0.4276	LR: 0.020000
Training Epoch: 21 [45824/47500]	Loss: 0.4865	LR: 0.020000
Training Epoch: 21 [46080/47500]	Loss: 0.5119	LR: 0.020000
Training Epoch: 21 [46336/47500]	Loss: 0.4066	LR: 0.020000
Training Epoch: 21 [46592/47500]	Loss: 0.4778	LR: 0.020000
Training Epoch: 21 [46848/47500]	Loss: 0.4304	LR: 0.020000
Training Epoch: 21 [47104/47500]	Loss: 0.4095	LR: 0.020000
Training Epoch: 21 [47360/47500]	Loss: 0.4667	LR: 0.020000
Training Epoch: 21 [47500/47500]	Loss: 0.5138	LR: 0.020000
Epoch 21 - Average Train Loss: 0.4487, Train Accuracy: 0.8513
Epoch 21 training time consumed: 28.43s
Evaluating Network.....
Test set: Epoch: 21, Average loss: 0.0030, Accuracy: 0.7702, Time consumed:0.91s
Training Epoch: 22 [256/47500]	Loss: 0.4176	LR: 0.020000
Training Epoch: 22 [512/47500]	Loss: 0.5219	LR: 0.020000
Training Epoch: 22 [768/47500]	Loss: 0.3843	LR: 0.020000
Training Epoch: 22 [1024/47500]	Loss: 0.3934	LR: 0.020000
Training Epoch: 22 [1280/47500]	Loss: 0.3567	LR: 0.020000
Training Epoch: 22 [1536/47500]	Loss: 0.4142	LR: 0.020000
Training Epoch: 22 [1792/47500]	Loss: 0.4549	LR: 0.020000
Training Epoch: 22 [2048/47500]	Loss: 0.4012	LR: 0.020000
Training Epoch: 22 [2304/47500]	Loss: 0.3592	LR: 0.020000
Training Epoch: 22 [2560/47500]	Loss: 0.4008	LR: 0.020000
Training Epoch: 22 [2816/47500]	Loss: 0.3356	LR: 0.020000
Training Epoch: 22 [3072/47500]	Loss: 0.3732	LR: 0.020000
Training Epoch: 22 [3328/47500]	Loss: 0.3678	LR: 0.020000
Training Epoch: 22 [3584/47500]	Loss: 0.4824	LR: 0.020000
Training Epoch: 22 [3840/47500]	Loss: 0.4491	LR: 0.020000
Training Epoch: 22 [4096/47500]	Loss: 0.4263	LR: 0.020000
Training Epoch: 22 [4352/47500]	Loss: 0.4086	LR: 0.020000
Training Epoch: 22 [4608/47500]	Loss: 0.4388	LR: 0.020000
Training Epoch: 22 [4864/47500]	Loss: 0.4176	LR: 0.020000
Training Epoch: 22 [5120/47500]	Loss: 0.3442	LR: 0.020000
Training Epoch: 22 [5376/47500]	Loss: 0.4746	LR: 0.020000
Training Epoch: 22 [5632/47500]	Loss: 0.5167	LR: 0.020000
Training Epoch: 22 [5888/47500]	Loss: 0.4689	LR: 0.020000
Training Epoch: 22 [6144/47500]	Loss: 0.4382	LR: 0.020000
Training Epoch: 22 [6400/47500]	Loss: 0.3916	LR: 0.020000
Training Epoch: 22 [6656/47500]	Loss: 0.4259	LR: 0.020000
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Training Epoch: 22 [7168/47500]	Loss: 0.4204	LR: 0.020000
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Training Epoch: 22 [7680/47500]	Loss: 0.4193	LR: 0.020000
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Training Epoch: 22 [8192/47500]	Loss: 0.5016	LR: 0.020000
Training Epoch: 22 [8448/47500]	Loss: 0.4274	LR: 0.020000
Training Epoch: 22 [8704/47500]	Loss: 0.3933	LR: 0.020000
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Training Epoch: 22 [10240/47500]	Loss: 0.4240	LR: 0.020000
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Training Epoch: 22 [10752/47500]	Loss: 0.4128	LR: 0.020000
Training Epoch: 22 [11008/47500]	Loss: 0.3227	LR: 0.020000
Training Epoch: 22 [11264/47500]	Loss: 0.4567	LR: 0.020000
Training Epoch: 22 [11520/47500]	Loss: 0.3795	LR: 0.020000
Training Epoch: 22 [11776/47500]	Loss: 0.3543	LR: 0.020000
Training Epoch: 22 [12032/47500]	Loss: 0.4669	LR: 0.020000
Training Epoch: 22 [12288/47500]	Loss: 0.3771	LR: 0.020000
Training Epoch: 22 [12544/47500]	Loss: 0.4194	LR: 0.020000
Training Epoch: 22 [12800/47500]	Loss: 0.5003	LR: 0.020000
Training Epoch: 22 [13056/47500]	Loss: 0.3752	LR: 0.020000
Training Epoch: 22 [13312/47500]	Loss: 0.4017	LR: 0.020000
Training Epoch: 22 [13568/47500]	Loss: 0.4570	LR: 0.020000
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Training Epoch: 22 [14080/47500]	Loss: 0.4192	LR: 0.020000
Training Epoch: 22 [14336/47500]	Loss: 0.3724	LR: 0.020000
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Training Epoch: 22 [15104/47500]	Loss: 0.4227	LR: 0.020000
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Training Epoch: 22 [15616/47500]	Loss: 0.3989	LR: 0.020000
Training Epoch: 22 [15872/47500]	Loss: 0.3428	LR: 0.020000
Training Epoch: 22 [16128/47500]	Loss: 0.4128	LR: 0.020000
Training Epoch: 22 [16384/47500]	Loss: 0.3126	LR: 0.020000
Training Epoch: 22 [16640/47500]	Loss: 0.5223	LR: 0.020000
Training Epoch: 22 [16896/47500]	Loss: 0.4696	LR: 0.020000
Training Epoch: 22 [17152/47500]	Loss: 0.3289	LR: 0.020000
Training Epoch: 22 [17408/47500]	Loss: 0.3358	LR: 0.020000
Training Epoch: 22 [17664/47500]	Loss: 0.4050	LR: 0.020000
Training Epoch: 22 [17920/47500]	Loss: 0.3928	LR: 0.020000
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Training Epoch: 22 [20736/47500]	Loss: 0.4198	LR: 0.020000
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Training Epoch: 22 [21760/47500]	Loss: 0.3535	LR: 0.020000
Training Epoch: 22 [22016/47500]	Loss: 0.4642	LR: 0.020000
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Training Epoch: 22 [22528/47500]	Loss: 0.4119	LR: 0.020000
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Training Epoch: 22 [28416/47500]	Loss: 0.5293	LR: 0.020000
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Training Epoch: 22 [28928/47500]	Loss: 0.4039	LR: 0.020000
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Training Epoch: 22 [31744/47500]	Loss: 0.4375	LR: 0.020000
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Training Epoch: 22 [32256/47500]	Loss: 0.4382	LR: 0.020000
Training Epoch: 22 [32512/47500]	Loss: 0.4140	LR: 0.020000
Training Epoch: 22 [32768/47500]	Loss: 0.4362	LR: 0.020000
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Training Epoch: 22 [34816/47500]	Loss: 0.4852	LR: 0.020000
Training Epoch: 22 [35072/47500]	Loss: 0.4437	LR: 0.020000
Training Epoch: 22 [35328/47500]	Loss: 0.3782	LR: 0.020000
Training Epoch: 22 [35584/47500]	Loss: 0.5478	LR: 0.020000
Training Epoch: 22 [35840/47500]	Loss: 0.5280	LR: 0.020000
Training Epoch: 22 [36096/47500]	Loss: 0.4194	LR: 0.020000
Training Epoch: 22 [36352/47500]	Loss: 0.3877	LR: 0.020000
Training Epoch: 22 [36608/47500]	Loss: 0.4881	LR: 0.020000
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Training Epoch: 22 [37120/47500]	Loss: 0.3660	LR: 0.020000
Training Epoch: 22 [37376/47500]	Loss: 0.4962	LR: 0.020000
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Training Epoch: 22 [38144/47500]	Loss: 0.3356	LR: 0.020000
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Training Epoch: 22 [40192/47500]	Loss: 0.3744	LR: 0.020000
Training Epoch: 22 [40448/47500]	Loss: 0.5019	LR: 0.020000
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Training Epoch: 22 [40960/47500]	Loss: 0.3958	LR: 0.020000
Training Epoch: 22 [41216/47500]	Loss: 0.4335	LR: 0.020000
Training Epoch: 22 [41472/47500]	Loss: 0.4507	LR: 0.020000
Training Epoch: 22 [41728/47500]	Loss: 0.4871	LR: 0.020000
Training Epoch: 22 [41984/47500]	Loss: 0.4309	LR: 0.020000
Training Epoch: 22 [42240/47500]	Loss: 0.5255	LR: 0.020000
Training Epoch: 22 [42496/47500]	Loss: 0.4012	LR: 0.020000
Training Epoch: 22 [42752/47500]	Loss: 0.4324	LR: 0.020000
Training Epoch: 22 [43008/47500]	Loss: 0.4070	LR: 0.020000
Training Epoch: 22 [43264/47500]	Loss: 0.4566	LR: 0.020000
Training Epoch: 22 [43520/47500]	Loss: 0.4205	LR: 0.020000
Training Epoch: 22 [43776/47500]	Loss: 0.4727	LR: 0.020000
Training Epoch: 22 [44032/47500]	Loss: 0.4478	LR: 0.020000
Training Epoch: 22 [44288/47500]	Loss: 0.3924	LR: 0.020000
Training Epoch: 22 [44544/47500]	Loss: 0.4251	LR: 0.020000
Training Epoch: 22 [44800/47500]	Loss: 0.4198	LR: 0.020000
Training Epoch: 22 [45056/47500]	Loss: 0.5443	LR: 0.020000
Training Epoch: 22 [45312/47500]	Loss: 0.4575	LR: 0.020000
Training Epoch: 22 [45568/47500]	Loss: 0.4152	LR: 0.020000
Training Epoch: 22 [45824/47500]	Loss: 0.4880	LR: 0.020000
Training Epoch: 22 [46080/47500]	Loss: 0.3379	LR: 0.020000
Training Epoch: 22 [46336/47500]	Loss: 0.3526	LR: 0.020000
Training Epoch: 22 [46592/47500]	Loss: 0.5088	LR: 0.020000
Training Epoch: 22 [46848/47500]	Loss: 0.4019	LR: 0.020000
Training Epoch: 22 [47104/47500]	Loss: 0.4207	LR: 0.020000
Training Epoch: 22 [47360/47500]	Loss: 0.4486	LR: 0.020000
Training Epoch: 22 [47500/47500]	Loss: 0.5387	LR: 0.020000
Epoch 22 - Average Train Loss: 0.4270, Train Accuracy: 0.8581
Epoch 22 training time consumed: 28.39s
Evaluating Network.....
Test set: Epoch: 22, Average loss: 0.0030, Accuracy: 0.7655, Time consumed:0.90s
Training Epoch: 23 [256/47500]	Loss: 0.3322	LR: 0.020000
Training Epoch: 23 [512/47500]	Loss: 0.3419	LR: 0.020000
Training Epoch: 23 [768/47500]	Loss: 0.3538	LR: 0.020000
Training Epoch: 23 [1024/47500]	Loss: 0.3814	LR: 0.020000
Training Epoch: 23 [1280/47500]	Loss: 0.3611	LR: 0.020000
Training Epoch: 23 [1536/47500]	Loss: 0.3908	LR: 0.020000
Training Epoch: 23 [1792/47500]	Loss: 0.4210	LR: 0.020000
Training Epoch: 23 [2048/47500]	Loss: 0.3723	LR: 0.020000
Training Epoch: 23 [2304/47500]	Loss: 0.4036	LR: 0.020000
Training Epoch: 23 [2560/47500]	Loss: 0.4742	LR: 0.020000
Training Epoch: 23 [2816/47500]	Loss: 0.3338	LR: 0.020000
Training Epoch: 23 [3072/47500]	Loss: 0.4207	LR: 0.020000
Training Epoch: 23 [3328/47500]	Loss: 0.3884	LR: 0.020000
Training Epoch: 23 [3584/47500]	Loss: 0.3518	LR: 0.020000
Training Epoch: 23 [3840/47500]	Loss: 0.3304	LR: 0.020000
Training Epoch: 23 [4096/47500]	Loss: 0.3806	LR: 0.020000
Training Epoch: 23 [4352/47500]	Loss: 0.3835	LR: 0.020000
Training Epoch: 23 [4608/47500]	Loss: 0.4027	LR: 0.020000
Training Epoch: 23 [4864/47500]	Loss: 0.3733	LR: 0.020000
Training Epoch: 23 [5120/47500]	Loss: 0.4144	LR: 0.020000
Training Epoch: 23 [5376/47500]	Loss: 0.3661	LR: 0.020000
Training Epoch: 23 [5632/47500]	Loss: 0.3569	LR: 0.020000
Training Epoch: 23 [5888/47500]	Loss: 0.3760	LR: 0.020000
Training Epoch: 23 [6144/47500]	Loss: 0.3851	LR: 0.020000
Training Epoch: 23 [6400/47500]	Loss: 0.3933	LR: 0.020000
Training Epoch: 23 [6656/47500]	Loss: 0.4260	LR: 0.020000
Training Epoch: 23 [6912/47500]	Loss: 0.3939	LR: 0.020000
Training Epoch: 23 [7168/47500]	Loss: 0.5117	LR: 0.020000
Training Epoch: 23 [7424/47500]	Loss: 0.4027	LR: 0.020000
Training Epoch: 23 [7680/47500]	Loss: 0.4002	LR: 0.020000
Training Epoch: 23 [7936/47500]	Loss: 0.3347	LR: 0.020000
Training Epoch: 23 [8192/47500]	Loss: 0.4167	LR: 0.020000
Training Epoch: 23 [8448/47500]	Loss: 0.4856	LR: 0.020000
Training Epoch: 23 [8704/47500]	Loss: 0.4237	LR: 0.020000
Training Epoch: 23 [8960/47500]	Loss: 0.4468	LR: 0.020000
Training Epoch: 23 [9216/47500]	Loss: 0.3692	LR: 0.020000
Training Epoch: 23 [9472/47500]	Loss: 0.4164	LR: 0.020000
Training Epoch: 23 [9728/47500]	Loss: 0.3476	LR: 0.020000
Training Epoch: 23 [9984/47500]	Loss: 0.4272	LR: 0.020000
Training Epoch: 23 [10240/47500]	Loss: 0.4522	LR: 0.020000
Training Epoch: 23 [10496/47500]	Loss: 0.3973	LR: 0.020000
Training Epoch: 23 [10752/47500]	Loss: 0.4020	LR: 0.020000
Training Epoch: 23 [11008/47500]	Loss: 0.3246	LR: 0.020000
Training Epoch: 23 [11264/47500]	Loss: 0.3684	LR: 0.020000
Training Epoch: 23 [11520/47500]	Loss: 0.4167	LR: 0.020000
Training Epoch: 23 [11776/47500]	Loss: 0.3938	LR: 0.020000
Training Epoch: 23 [12032/47500]	Loss: 0.3810	LR: 0.020000
Training Epoch: 23 [12288/47500]	Loss: 0.3454	LR: 0.020000
Training Epoch: 23 [12544/47500]	Loss: 0.3270	LR: 0.020000
Training Epoch: 23 [12800/47500]	Loss: 0.4039	LR: 0.020000
Training Epoch: 23 [13056/47500]	Loss: 0.3278	LR: 0.020000
Training Epoch: 23 [13312/47500]	Loss: 0.3891	LR: 0.020000
Training Epoch: 23 [13568/47500]	Loss: 0.3202	LR: 0.020000
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Training Epoch: 23 [14848/47500]	Loss: 0.3590	LR: 0.020000
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Training Epoch: 23 [18176/47500]	Loss: 0.4076	LR: 0.020000
Training Epoch: 23 [18432/47500]	Loss: 0.4356	LR: 0.020000
Training Epoch: 23 [18688/47500]	Loss: 0.4496	LR: 0.020000
Training Epoch: 23 [18944/47500]	Loss: 0.3971	LR: 0.020000
Training Epoch: 23 [19200/47500]	Loss: 0.4532	LR: 0.020000
Training Epoch: 23 [19456/47500]	Loss: 0.4037	LR: 0.020000
Training Epoch: 23 [19712/47500]	Loss: 0.3445	LR: 0.020000
Training Epoch: 23 [19968/47500]	Loss: 0.4007	LR: 0.020000
Training Epoch: 23 [20224/47500]	Loss: 0.3724	LR: 0.020000
Training Epoch: 23 [20480/47500]	Loss: 0.4114	LR: 0.020000
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Training Epoch: 23 [21504/47500]	Loss: 0.3773	LR: 0.020000
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Training Epoch: 23 [22016/47500]	Loss: 0.3289	LR: 0.020000
Training Epoch: 23 [22272/47500]	Loss: 0.3401	LR: 0.020000
Training Epoch: 23 [22528/47500]	Loss: 0.4099	LR: 0.020000
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Training Epoch: 23 [26368/47500]	Loss: 0.5430	LR: 0.020000
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Training Epoch: 23 [30208/47500]	Loss: 0.5090	LR: 0.020000
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Training Epoch: 23 [43776/47500]	Loss: 0.3786	LR: 0.020000
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Training Epoch: 23 [47500/47500]	Loss: 0.4079	LR: 0.020000
Epoch 23 - Average Train Loss: 0.4089, Train Accuracy: 0.8660
Epoch 23 training time consumed: 28.29s
Evaluating Network.....
Test set: Epoch: 23, Average loss: 0.0030, Accuracy: 0.7719, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_22h_22m_08s/ResNet18-Cifar20-seed9-ret50-23-best.pth
Training Epoch: 24 [256/47500]	Loss: 0.3566	LR: 0.020000
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Training Epoch: 24 [47500/47500]	Loss: 0.6217	LR: 0.020000
Epoch 24 - Average Train Loss: 0.4059, Train Accuracy: 0.8652
Epoch 24 training time consumed: 28.31s
Evaluating Network.....
Test set: Epoch: 24, Average loss: 0.0031, Accuracy: 0.7655, Time consumed:0.90s
Training Epoch: 25 [256/47500]	Loss: 0.3429	LR: 0.020000
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Training Epoch: 25 [47500/47500]	Loss: 0.5800	LR: 0.020000
Epoch 25 - Average Train Loss: 0.3894, Train Accuracy: 0.8697
Epoch 25 training time consumed: 28.33s
Evaluating Network.....
Test set: Epoch: 25, Average loss: 0.0031, Accuracy: 0.7722, Time consumed:1.03s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_22h_22m_08s/ResNet18-Cifar20-seed9-ret50-25-best.pth
Training Epoch: 26 [256/47500]	Loss: 0.4007	LR: 0.020000
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Training Epoch: 26 [46592/47500]	Loss: 0.4279	LR: 0.020000
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Training Epoch: 26 [47104/47500]	Loss: 0.3351	LR: 0.020000
Training Epoch: 26 [47360/47500]	Loss: 0.4000	LR: 0.020000
Training Epoch: 26 [47500/47500]	Loss: 0.3440	LR: 0.020000
Epoch 26 - Average Train Loss: 0.3713, Train Accuracy: 0.8762
Epoch 26 training time consumed: 28.30s
Evaluating Network.....
Test set: Epoch: 26, Average loss: 0.0033, Accuracy: 0.7646, Time consumed:0.90s
Training Epoch: 27 [256/47500]	Loss: 0.3375	LR: 0.020000
Training Epoch: 27 [512/47500]	Loss: 0.3148	LR: 0.020000
Training Epoch: 27 [768/47500]	Loss: 0.2558	LR: 0.020000
Training Epoch: 27 [1024/47500]	Loss: 0.3303	LR: 0.020000
Training Epoch: 27 [1280/47500]	Loss: 0.3536	LR: 0.020000
Training Epoch: 27 [1536/47500]	Loss: 0.3536	LR: 0.020000
Training Epoch: 27 [1792/47500]	Loss: 0.4385	LR: 0.020000
Training Epoch: 27 [2048/47500]	Loss: 0.3272	LR: 0.020000
Training Epoch: 27 [2304/47500]	Loss: 0.3042	LR: 0.020000
Training Epoch: 27 [2560/47500]	Loss: 0.4221	LR: 0.020000
Training Epoch: 27 [2816/47500]	Loss: 0.3128	LR: 0.020000
Training Epoch: 27 [3072/47500]	Loss: 0.3799	LR: 0.020000
Training Epoch: 27 [3328/47500]	Loss: 0.3879	LR: 0.020000
Training Epoch: 27 [3584/47500]	Loss: 0.2907	LR: 0.020000
Training Epoch: 27 [3840/47500]	Loss: 0.3145	LR: 0.020000
Training Epoch: 27 [4096/47500]	Loss: 0.3882	LR: 0.020000
Training Epoch: 27 [4352/47500]	Loss: 0.3285	LR: 0.020000
Training Epoch: 27 [4608/47500]	Loss: 0.3066	LR: 0.020000
Training Epoch: 27 [4864/47500]	Loss: 0.3629	LR: 0.020000
Training Epoch: 27 [5120/47500]	Loss: 0.3483	LR: 0.020000
Training Epoch: 27 [5376/47500]	Loss: 0.3846	LR: 0.020000
Training Epoch: 27 [5632/47500]	Loss: 0.3385	LR: 0.020000
Training Epoch: 27 [5888/47500]	Loss: 0.3292	LR: 0.020000
Training Epoch: 27 [6144/47500]	Loss: 0.3022	LR: 0.020000
Training Epoch: 27 [6400/47500]	Loss: 0.3360	LR: 0.020000
Training Epoch: 27 [6656/47500]	Loss: 0.2572	LR: 0.020000
Training Epoch: 27 [6912/47500]	Loss: 0.3085	LR: 0.020000
Training Epoch: 27 [7168/47500]	Loss: 0.3067	LR: 0.020000
Training Epoch: 27 [7424/47500]	Loss: 0.4223	LR: 0.020000
Training Epoch: 27 [7680/47500]	Loss: 0.3189	LR: 0.020000
Training Epoch: 27 [7936/47500]	Loss: 0.3822	LR: 0.020000
Training Epoch: 27 [8192/47500]	Loss: 0.4037	LR: 0.020000
Training Epoch: 27 [8448/47500]	Loss: 0.3145	LR: 0.020000
Training Epoch: 27 [8704/47500]	Loss: 0.3956	LR: 0.020000
Training Epoch: 27 [8960/47500]	Loss: 0.3461	LR: 0.020000
Training Epoch: 27 [9216/47500]	Loss: 0.3989	LR: 0.020000
Training Epoch: 27 [9472/47500]	Loss: 0.2922	LR: 0.020000
Training Epoch: 27 [9728/47500]	Loss: 0.3056	LR: 0.020000
Training Epoch: 27 [9984/47500]	Loss: 0.3143	LR: 0.020000
Training Epoch: 27 [10240/47500]	Loss: 0.3378	LR: 0.020000
Training Epoch: 27 [10496/47500]	Loss: 0.3514	LR: 0.020000
Training Epoch: 27 [10752/47500]	Loss: 0.3843	LR: 0.020000
Training Epoch: 27 [11008/47500]	Loss: 0.3286	LR: 0.020000
Training Epoch: 27 [11264/47500]	Loss: 0.3749	LR: 0.020000
Training Epoch: 27 [11520/47500]	Loss: 0.3408	LR: 0.020000
Training Epoch: 27 [11776/47500]	Loss: 0.3505	LR: 0.020000
Training Epoch: 27 [12032/47500]	Loss: 0.2834	LR: 0.020000
Training Epoch: 27 [12288/47500]	Loss: 0.3745	LR: 0.020000
Training Epoch: 27 [12544/47500]	Loss: 0.3801	LR: 0.020000
Training Epoch: 27 [12800/47500]	Loss: 0.3834	LR: 0.020000
Training Epoch: 27 [13056/47500]	Loss: 0.3096	LR: 0.020000
Training Epoch: 27 [13312/47500]	Loss: 0.3576	LR: 0.020000
Training Epoch: 27 [13568/47500]	Loss: 0.3784	LR: 0.020000
Training Epoch: 27 [13824/47500]	Loss: 0.3408	LR: 0.020000
Training Epoch: 27 [14080/47500]	Loss: 0.3581	LR: 0.020000
Training Epoch: 27 [14336/47500]	Loss: 0.3567	LR: 0.020000
Training Epoch: 27 [14592/47500]	Loss: 0.4040	LR: 0.020000
Training Epoch: 27 [14848/47500]	Loss: 0.3268	LR: 0.020000
Training Epoch: 27 [15104/47500]	Loss: 0.3438	LR: 0.020000
Training Epoch: 27 [15360/47500]	Loss: 0.3455	LR: 0.020000
Training Epoch: 27 [15616/47500]	Loss: 0.4044	LR: 0.020000
Training Epoch: 27 [15872/47500]	Loss: 0.3335	LR: 0.020000
Training Epoch: 27 [16128/47500]	Loss: 0.3504	LR: 0.020000
Training Epoch: 27 [16384/47500]	Loss: 0.2867	LR: 0.020000
Training Epoch: 27 [16640/47500]	Loss: 0.3723	LR: 0.020000
Training Epoch: 27 [16896/47500]	Loss: 0.4343	LR: 0.020000
Training Epoch: 27 [17152/47500]	Loss: 0.2997	LR: 0.020000
Training Epoch: 27 [17408/47500]	Loss: 0.3495	LR: 0.020000
Training Epoch: 27 [17664/47500]	Loss: 0.2794	LR: 0.020000
Training Epoch: 27 [17920/47500]	Loss: 0.3463	LR: 0.020000
Training Epoch: 27 [18176/47500]	Loss: 0.3991	LR: 0.020000
Training Epoch: 27 [18432/47500]	Loss: 0.3314	LR: 0.020000
Training Epoch: 27 [18688/47500]	Loss: 0.3787	LR: 0.020000
Training Epoch: 27 [18944/47500]	Loss: 0.2747	LR: 0.020000
Training Epoch: 27 [19200/47500]	Loss: 0.4430	LR: 0.020000
Training Epoch: 27 [19456/47500]	Loss: 0.2748	LR: 0.020000
Training Epoch: 27 [19712/47500]	Loss: 0.3959	LR: 0.020000
Training Epoch: 27 [19968/47500]	Loss: 0.3272	LR: 0.020000
Training Epoch: 27 [20224/47500]	Loss: 0.4080	LR: 0.020000
Training Epoch: 27 [20480/47500]	Loss: 0.3181	LR: 0.020000
Training Epoch: 27 [20736/47500]	Loss: 0.3885	LR: 0.020000
Training Epoch: 27 [20992/47500]	Loss: 0.4010	LR: 0.020000
Training Epoch: 27 [21248/47500]	Loss: 0.3457	LR: 0.020000
Training Epoch: 27 [21504/47500]	Loss: 0.3821	LR: 0.020000
Training Epoch: 27 [21760/47500]	Loss: 0.3540	LR: 0.020000
Training Epoch: 27 [22016/47500]	Loss: 0.3148	LR: 0.020000
Training Epoch: 27 [22272/47500]	Loss: 0.3169	LR: 0.020000
Training Epoch: 27 [22528/47500]	Loss: 0.3353	LR: 0.020000
Training Epoch: 27 [22784/47500]	Loss: 0.3594	LR: 0.020000
Training Epoch: 27 [23040/47500]	Loss: 0.3819	LR: 0.020000
Training Epoch: 27 [23296/47500]	Loss: 0.2982	LR: 0.020000
Training Epoch: 27 [23552/47500]	Loss: 0.2679	LR: 0.020000
Training Epoch: 27 [23808/47500]	Loss: 0.3300	LR: 0.020000
Training Epoch: 27 [24064/47500]	Loss: 0.3459	LR: 0.020000
Training Epoch: 27 [24320/47500]	Loss: 0.4608	LR: 0.020000
Training Epoch: 27 [24576/47500]	Loss: 0.2998	LR: 0.020000
Training Epoch: 27 [24832/47500]	Loss: 0.2562	LR: 0.020000
Training Epoch: 27 [25088/47500]	Loss: 0.3252	LR: 0.020000
Training Epoch: 27 [25344/47500]	Loss: 0.2876	LR: 0.020000
Training Epoch: 27 [25600/47500]	Loss: 0.3574	LR: 0.020000
Training Epoch: 27 [25856/47500]	Loss: 0.3181	LR: 0.020000
Training Epoch: 27 [26112/47500]	Loss: 0.3297	LR: 0.020000
Training Epoch: 27 [26368/47500]	Loss: 0.3684	LR: 0.020000
Training Epoch: 27 [26624/47500]	Loss: 0.3452	LR: 0.020000
Training Epoch: 27 [26880/47500]	Loss: 0.3647	LR: 0.020000
Training Epoch: 27 [27136/47500]	Loss: 0.3689	LR: 0.020000
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Training Epoch: 27 [27648/47500]	Loss: 0.3168	LR: 0.020000
Training Epoch: 27 [27904/47500]	Loss: 0.3877	LR: 0.020000
Training Epoch: 27 [28160/47500]	Loss: 0.3304	LR: 0.020000
Training Epoch: 27 [28416/47500]	Loss: 0.3774	LR: 0.020000
Training Epoch: 27 [28672/47500]	Loss: 0.3135	LR: 0.020000
Training Epoch: 27 [28928/47500]	Loss: 0.3953	LR: 0.020000
Training Epoch: 27 [29184/47500]	Loss: 0.3908	LR: 0.020000
Training Epoch: 27 [29440/47500]	Loss: 0.4288	LR: 0.020000
Training Epoch: 27 [29696/47500]	Loss: 0.3670	LR: 0.020000
Training Epoch: 27 [29952/47500]	Loss: 0.4809	LR: 0.020000
Training Epoch: 27 [30208/47500]	Loss: 0.3255	LR: 0.020000
Training Epoch: 27 [30464/47500]	Loss: 0.4614	LR: 0.020000
Training Epoch: 27 [30720/47500]	Loss: 0.3827	LR: 0.020000
Training Epoch: 27 [30976/47500]	Loss: 0.3455	LR: 0.020000
Training Epoch: 27 [31232/47500]	Loss: 0.2996	LR: 0.020000
Training Epoch: 27 [31488/47500]	Loss: 0.4073	LR: 0.020000
Training Epoch: 27 [31744/47500]	Loss: 0.4367	LR: 0.020000
Training Epoch: 27 [32000/47500]	Loss: 0.3964	LR: 0.020000
Training Epoch: 27 [32256/47500]	Loss: 0.4376	LR: 0.020000
Training Epoch: 27 [32512/47500]	Loss: 0.3665	LR: 0.020000
Training Epoch: 27 [32768/47500]	Loss: 0.3925	LR: 0.020000
Training Epoch: 27 [33024/47500]	Loss: 0.4084	LR: 0.020000
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Training Epoch: 27 [34816/47500]	Loss: 0.3465	LR: 0.020000
Training Epoch: 27 [35072/47500]	Loss: 0.3143	LR: 0.020000
Training Epoch: 27 [35328/47500]	Loss: 0.3332	LR: 0.020000
Training Epoch: 27 [35584/47500]	Loss: 0.2795	LR: 0.020000
Training Epoch: 27 [35840/47500]	Loss: 0.3975	LR: 0.020000
Training Epoch: 27 [36096/47500]	Loss: 0.3293	LR: 0.020000
Training Epoch: 27 [36352/47500]	Loss: 0.3695	LR: 0.020000
Training Epoch: 27 [36608/47500]	Loss: 0.4101	LR: 0.020000
Training Epoch: 27 [36864/47500]	Loss: 0.4769	LR: 0.020000
Training Epoch: 27 [37120/47500]	Loss: 0.3254	LR: 0.020000
Training Epoch: 27 [37376/47500]	Loss: 0.4393	LR: 0.020000
Training Epoch: 27 [37632/47500]	Loss: 0.4191	LR: 0.020000
Training Epoch: 27 [37888/47500]	Loss: 0.4098	LR: 0.020000
Training Epoch: 27 [38144/47500]	Loss: 0.4994	LR: 0.020000
Training Epoch: 27 [38400/47500]	Loss: 0.4032	LR: 0.020000
Training Epoch: 27 [38656/47500]	Loss: 0.3306	LR: 0.020000
Training Epoch: 27 [38912/47500]	Loss: 0.4062	LR: 0.020000
Training Epoch: 27 [39168/47500]	Loss: 0.2895	LR: 0.020000
Training Epoch: 27 [39424/47500]	Loss: 0.2187	LR: 0.020000
Training Epoch: 27 [39680/47500]	Loss: 0.3292	LR: 0.020000
Training Epoch: 27 [39936/47500]	Loss: 0.4184	LR: 0.020000
Training Epoch: 27 [40192/47500]	Loss: 0.4566	LR: 0.020000
Training Epoch: 27 [40448/47500]	Loss: 0.3589	LR: 0.020000
Training Epoch: 27 [40704/47500]	Loss: 0.3569	LR: 0.020000
Training Epoch: 27 [40960/47500]	Loss: 0.4255	LR: 0.020000
Training Epoch: 27 [41216/47500]	Loss: 0.3115	LR: 0.020000
Training Epoch: 27 [41472/47500]	Loss: 0.3508	LR: 0.020000
Training Epoch: 27 [41728/47500]	Loss: 0.4259	LR: 0.020000
Training Epoch: 27 [41984/47500]	Loss: 0.3988	LR: 0.020000
Training Epoch: 27 [42240/47500]	Loss: 0.4611	LR: 0.020000
Training Epoch: 27 [42496/47500]	Loss: 0.3183	LR: 0.020000
Training Epoch: 27 [42752/47500]	Loss: 0.3562	LR: 0.020000
Training Epoch: 27 [43008/47500]	Loss: 0.3236	LR: 0.020000
Training Epoch: 27 [43264/47500]	Loss: 0.3402	LR: 0.020000
Training Epoch: 27 [43520/47500]	Loss: 0.4963	LR: 0.020000
Training Epoch: 27 [43776/47500]	Loss: 0.3686	LR: 0.020000
Training Epoch: 27 [44032/47500]	Loss: 0.3832	LR: 0.020000
Training Epoch: 27 [44288/47500]	Loss: 0.4325	LR: 0.020000
Training Epoch: 27 [44544/47500]	Loss: 0.3996	LR: 0.020000
Training Epoch: 27 [44800/47500]	Loss: 0.3882	LR: 0.020000
Training Epoch: 27 [45056/47500]	Loss: 0.3702	LR: 0.020000
Training Epoch: 27 [45312/47500]	Loss: 0.3388	LR: 0.020000
Training Epoch: 27 [45568/47500]	Loss: 0.3960	LR: 0.020000
Training Epoch: 27 [45824/47500]	Loss: 0.3049	LR: 0.020000
Training Epoch: 27 [46080/47500]	Loss: 0.4541	LR: 0.020000
Training Epoch: 27 [46336/47500]	Loss: 0.3915	LR: 0.020000
Training Epoch: 27 [46592/47500]	Loss: 0.4573	LR: 0.020000
Training Epoch: 27 [46848/47500]	Loss: 0.3724	LR: 0.020000
Training Epoch: 27 [47104/47500]	Loss: 0.3921	LR: 0.020000
Training Epoch: 27 [47360/47500]	Loss: 0.5242	LR: 0.020000
Training Epoch: 27 [47500/47500]	Loss: 0.3900	LR: 0.020000
Epoch 27 - Average Train Loss: 0.3603, Train Accuracy: 0.8791
Epoch 27 training time consumed: 28.32s
Evaluating Network.....
Test set: Epoch: 27, Average loss: 0.0031, Accuracy: 0.7694, Time consumed:0.89s
Training Epoch: 28 [256/47500]	Loss: 0.2635	LR: 0.020000
Training Epoch: 28 [512/47500]	Loss: 0.4662	LR: 0.020000
Training Epoch: 28 [768/47500]	Loss: 0.3891	LR: 0.020000
Training Epoch: 28 [1024/47500]	Loss: 0.3441	LR: 0.020000
Training Epoch: 28 [1280/47500]	Loss: 0.2321	LR: 0.020000
Training Epoch: 28 [1536/47500]	Loss: 0.3455	LR: 0.020000
Training Epoch: 28 [1792/47500]	Loss: 0.3386	LR: 0.020000
Training Epoch: 28 [2048/47500]	Loss: 0.3443	LR: 0.020000
Training Epoch: 28 [2304/47500]	Loss: 0.3925	LR: 0.020000
Training Epoch: 28 [2560/47500]	Loss: 0.2911	LR: 0.020000
Training Epoch: 28 [2816/47500]	Loss: 0.3309	LR: 0.020000
Training Epoch: 28 [3072/47500]	Loss: 0.3071	LR: 0.020000
Training Epoch: 28 [3328/47500]	Loss: 0.3302	LR: 0.020000
Training Epoch: 28 [3584/47500]	Loss: 0.3148	LR: 0.020000
Training Epoch: 28 [3840/47500]	Loss: 0.2837	LR: 0.020000
Training Epoch: 28 [4096/47500]	Loss: 0.2996	LR: 0.020000
Training Epoch: 28 [4352/47500]	Loss: 0.2850	LR: 0.020000
Training Epoch: 28 [4608/47500]	Loss: 0.3959	LR: 0.020000
Training Epoch: 28 [4864/47500]	Loss: 0.3033	LR: 0.020000
Training Epoch: 28 [5120/47500]	Loss: 0.3257	LR: 0.020000
Training Epoch: 28 [5376/47500]	Loss: 0.2978	LR: 0.020000
Training Epoch: 28 [5632/47500]	Loss: 0.3612	LR: 0.020000
Training Epoch: 28 [5888/47500]	Loss: 0.2777	LR: 0.020000
Training Epoch: 28 [6144/47500]	Loss: 0.3280	LR: 0.020000
Training Epoch: 28 [6400/47500]	Loss: 0.2852	LR: 0.020000
Training Epoch: 28 [6656/47500]	Loss: 0.3045	LR: 0.020000
Training Epoch: 28 [6912/47500]	Loss: 0.4041	LR: 0.020000
Training Epoch: 28 [7168/47500]	Loss: 0.2913	LR: 0.020000
Training Epoch: 28 [7424/47500]	Loss: 0.2710	LR: 0.020000
Training Epoch: 28 [7680/47500]	Loss: 0.3681	LR: 0.020000
Training Epoch: 28 [7936/47500]	Loss: 0.3769	LR: 0.020000
Training Epoch: 28 [8192/47500]	Loss: 0.3093	LR: 0.020000
Training Epoch: 28 [8448/47500]	Loss: 0.3713	LR: 0.020000
Training Epoch: 28 [8704/47500]	Loss: 0.2789	LR: 0.020000
Training Epoch: 28 [8960/47500]	Loss: 0.3544	LR: 0.020000
Training Epoch: 28 [9216/47500]	Loss: 0.3345	LR: 0.020000
Training Epoch: 28 [9472/47500]	Loss: 0.3478	LR: 0.020000
Training Epoch: 28 [9728/47500]	Loss: 0.3394	LR: 0.020000
Training Epoch: 28 [9984/47500]	Loss: 0.2661	LR: 0.020000
Training Epoch: 28 [10240/47500]	Loss: 0.3367	LR: 0.020000
Training Epoch: 28 [10496/47500]	Loss: 0.2578	LR: 0.020000
Training Epoch: 28 [10752/47500]	Loss: 0.2940	LR: 0.020000
Training Epoch: 28 [11008/47500]	Loss: 0.3286	LR: 0.020000
Training Epoch: 28 [11264/47500]	Loss: 0.3207	LR: 0.020000
Training Epoch: 28 [11520/47500]	Loss: 0.3229	LR: 0.020000
Training Epoch: 28 [11776/47500]	Loss: 0.2918	LR: 0.020000
Training Epoch: 28 [12032/47500]	Loss: 0.3499	LR: 0.020000
Training Epoch: 28 [12288/47500]	Loss: 0.3243	LR: 0.020000
Training Epoch: 28 [12544/47500]	Loss: 0.3112	LR: 0.020000
Training Epoch: 28 [12800/47500]	Loss: 0.3474	LR: 0.020000
Training Epoch: 28 [13056/47500]	Loss: 0.3581	LR: 0.020000
Training Epoch: 28 [13312/47500]	Loss: 0.3106	LR: 0.020000
Training Epoch: 28 [13568/47500]	Loss: 0.3575	LR: 0.020000
Training Epoch: 28 [13824/47500]	Loss: 0.2670	LR: 0.020000
Training Epoch: 28 [14080/47500]	Loss: 0.3770	LR: 0.020000
Training Epoch: 28 [14336/47500]	Loss: 0.2653	LR: 0.020000
Training Epoch: 28 [14592/47500]	Loss: 0.3845	LR: 0.020000
Training Epoch: 28 [14848/47500]	Loss: 0.3416	LR: 0.020000
Training Epoch: 28 [15104/47500]	Loss: 0.2945	LR: 0.020000
Training Epoch: 28 [15360/47500]	Loss: 0.3675	LR: 0.020000
Training Epoch: 28 [15616/47500]	Loss: 0.2448	LR: 0.020000
Training Epoch: 28 [15872/47500]	Loss: 0.2532	LR: 0.020000
Training Epoch: 28 [16128/47500]	Loss: 0.2910	LR: 0.020000
Training Epoch: 28 [16384/47500]	Loss: 0.3974	LR: 0.020000
Training Epoch: 28 [16640/47500]	Loss: 0.3323	LR: 0.020000
Training Epoch: 28 [16896/47500]	Loss: 0.3232	LR: 0.020000
Training Epoch: 28 [17152/47500]	Loss: 0.3519	LR: 0.020000
Training Epoch: 28 [17408/47500]	Loss: 0.3547	LR: 0.020000
Training Epoch: 28 [17664/47500]	Loss: 0.2696	LR: 0.020000
Training Epoch: 28 [17920/47500]	Loss: 0.3383	LR: 0.020000
Training Epoch: 28 [18176/47500]	Loss: 0.2294	LR: 0.020000
Training Epoch: 28 [18432/47500]	Loss: 0.3154	LR: 0.020000
Training Epoch: 28 [18688/47500]	Loss: 0.3475	LR: 0.020000
Training Epoch: 28 [18944/47500]	Loss: 0.3400	LR: 0.020000
Training Epoch: 28 [19200/47500]	Loss: 0.2696	LR: 0.020000
Training Epoch: 28 [19456/47500]	Loss: 0.2973	LR: 0.020000
Training Epoch: 28 [19712/47500]	Loss: 0.3831	LR: 0.020000
Training Epoch: 28 [19968/47500]	Loss: 0.3608	LR: 0.020000
Training Epoch: 28 [20224/47500]	Loss: 0.2970	LR: 0.020000
Training Epoch: 28 [20480/47500]	Loss: 0.3190	LR: 0.020000
Training Epoch: 28 [20736/47500]	Loss: 0.3099	LR: 0.020000
Training Epoch: 28 [20992/47500]	Loss: 0.2860	LR: 0.020000
Training Epoch: 28 [21248/47500]	Loss: 0.2493	LR: 0.020000
Training Epoch: 28 [21504/47500]	Loss: 0.2888	LR: 0.020000
Training Epoch: 28 [21760/47500]	Loss: 0.2526	LR: 0.020000
Training Epoch: 28 [22016/47500]	Loss: 0.3745	LR: 0.020000
Training Epoch: 28 [22272/47500]	Loss: 0.3812	LR: 0.020000
Training Epoch: 28 [22528/47500]	Loss: 0.2887	LR: 0.020000
Training Epoch: 28 [22784/47500]	Loss: 0.3555	LR: 0.020000
Training Epoch: 28 [23040/47500]	Loss: 0.3574	LR: 0.020000
Training Epoch: 28 [23296/47500]	Loss: 0.4974	LR: 0.020000
Training Epoch: 28 [23552/47500]	Loss: 0.3528	LR: 0.020000
Training Epoch: 28 [23808/47500]	Loss: 0.3949	LR: 0.020000
Training Epoch: 28 [24064/47500]	Loss: 0.3637	LR: 0.020000
Training Epoch: 28 [24320/47500]	Loss: 0.2949	LR: 0.020000
Training Epoch: 28 [24576/47500]	Loss: 0.3251	LR: 0.020000
Training Epoch: 28 [24832/47500]	Loss: 0.3440	LR: 0.020000
Training Epoch: 28 [25088/47500]	Loss: 0.3329	LR: 0.020000
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Training Epoch: 28 [25600/47500]	Loss: 0.3720	LR: 0.020000
Training Epoch: 28 [25856/47500]	Loss: 0.4295	LR: 0.020000
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Training Epoch: 28 [28160/47500]	Loss: 0.3696	LR: 0.020000
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Training Epoch: 28 [29952/47500]	Loss: 0.3887	LR: 0.020000
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Training Epoch: 28 [30976/47500]	Loss: 0.3608	LR: 0.020000
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Training Epoch: 28 [32256/47500]	Loss: 0.3988	LR: 0.020000
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Training Epoch: 28 [35584/47500]	Loss: 0.3484	LR: 0.020000
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Training Epoch: 28 [40448/47500]	Loss: 0.3548	LR: 0.020000
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Training Epoch: 28 [40960/47500]	Loss: 0.2884	LR: 0.020000
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Training Epoch: 28 [41728/47500]	Loss: 0.4235	LR: 0.020000
Training Epoch: 28 [41984/47500]	Loss: 0.3709	LR: 0.020000
Training Epoch: 28 [42240/47500]	Loss: 0.3663	LR: 0.020000
Training Epoch: 28 [42496/47500]	Loss: 0.3249	LR: 0.020000
Training Epoch: 28 [42752/47500]	Loss: 0.3526	LR: 0.020000
Training Epoch: 28 [43008/47500]	Loss: 0.3332	LR: 0.020000
Training Epoch: 28 [43264/47500]	Loss: 0.3764	LR: 0.020000
Training Epoch: 28 [43520/47500]	Loss: 0.4045	LR: 0.020000
Training Epoch: 28 [43776/47500]	Loss: 0.3895	LR: 0.020000
Training Epoch: 28 [44032/47500]	Loss: 0.3001	LR: 0.020000
Training Epoch: 28 [44288/47500]	Loss: 0.4052	LR: 0.020000
Training Epoch: 28 [44544/47500]	Loss: 0.4267	LR: 0.020000
Training Epoch: 28 [44800/47500]	Loss: 0.3868	LR: 0.020000
Training Epoch: 28 [45056/47500]	Loss: 0.4823	LR: 0.020000
Training Epoch: 28 [45312/47500]	Loss: 0.3921	LR: 0.020000
Training Epoch: 28 [45568/47500]	Loss: 0.3587	LR: 0.020000
Training Epoch: 28 [45824/47500]	Loss: 0.3558	LR: 0.020000
Training Epoch: 28 [46080/47500]	Loss: 0.4650	LR: 0.020000
Training Epoch: 28 [46336/47500]	Loss: 0.3561	LR: 0.020000
Training Epoch: 28 [46592/47500]	Loss: 0.4238	LR: 0.020000
Training Epoch: 28 [46848/47500]	Loss: 0.3893	LR: 0.020000
Training Epoch: 28 [47104/47500]	Loss: 0.3681	LR: 0.020000
Training Epoch: 28 [47360/47500]	Loss: 0.3688	LR: 0.020000
Training Epoch: 28 [47500/47500]	Loss: 0.4561	LR: 0.020000
Epoch 28 - Average Train Loss: 0.3490, Train Accuracy: 0.8833
Epoch 28 training time consumed: 28.28s
Evaluating Network.....
Test set: Epoch: 28, Average loss: 0.0034, Accuracy: 0.7583, Time consumed:0.89s
Training Epoch: 29 [256/47500]	Loss: 0.3643	LR: 0.020000
Training Epoch: 29 [512/47500]	Loss: 0.3024	LR: 0.020000
Training Epoch: 29 [768/47500]	Loss: 0.2709	LR: 0.020000
Training Epoch: 29 [1024/47500]	Loss: 0.3338	LR: 0.020000
Training Epoch: 29 [1280/47500]	Loss: 0.3351	LR: 0.020000
Training Epoch: 29 [1536/47500]	Loss: 0.3237	LR: 0.020000
Training Epoch: 29 [1792/47500]	Loss: 0.3471	LR: 0.020000
Training Epoch: 29 [2048/47500]	Loss: 0.2587	LR: 0.020000
Training Epoch: 29 [2304/47500]	Loss: 0.3783	LR: 0.020000
Training Epoch: 29 [2560/47500]	Loss: 0.3595	LR: 0.020000
Training Epoch: 29 [2816/47500]	Loss: 0.2934	LR: 0.020000
Training Epoch: 29 [3072/47500]	Loss: 0.3425	LR: 0.020000
Training Epoch: 29 [3328/47500]	Loss: 0.2782	LR: 0.020000
Training Epoch: 29 [3584/47500]	Loss: 0.3556	LR: 0.020000
Training Epoch: 29 [3840/47500]	Loss: 0.2975	LR: 0.020000
Training Epoch: 29 [4096/47500]	Loss: 0.3125	LR: 0.020000
Training Epoch: 29 [4352/47500]	Loss: 0.3388	LR: 0.020000
Training Epoch: 29 [4608/47500]	Loss: 0.3247	LR: 0.020000
Training Epoch: 29 [4864/47500]	Loss: 0.2687	LR: 0.020000
Training Epoch: 29 [5120/47500]	Loss: 0.2938	LR: 0.020000
Training Epoch: 29 [5376/47500]	Loss: 0.2421	LR: 0.020000
Training Epoch: 29 [5632/47500]	Loss: 0.3215	LR: 0.020000
Training Epoch: 29 [5888/47500]	Loss: 0.3559	LR: 0.020000
Training Epoch: 29 [6144/47500]	Loss: 0.3042	LR: 0.020000
Training Epoch: 29 [6400/47500]	Loss: 0.2973	LR: 0.020000
Training Epoch: 29 [6656/47500]	Loss: 0.3201	LR: 0.020000
Training Epoch: 29 [6912/47500]	Loss: 0.4108	LR: 0.020000
Training Epoch: 29 [7168/47500]	Loss: 0.3174	LR: 0.020000
Training Epoch: 29 [7424/47500]	Loss: 0.3465	LR: 0.020000
Training Epoch: 29 [7680/47500]	Loss: 0.3011	LR: 0.020000
Training Epoch: 29 [7936/47500]	Loss: 0.2892	LR: 0.020000
Training Epoch: 29 [8192/47500]	Loss: 0.3812	LR: 0.020000
Training Epoch: 29 [8448/47500]	Loss: 0.3826	LR: 0.020000
Training Epoch: 29 [8704/47500]	Loss: 0.2909	LR: 0.020000
Training Epoch: 29 [8960/47500]	Loss: 0.3196	LR: 0.020000
Training Epoch: 29 [9216/47500]	Loss: 0.3838	LR: 0.020000
Training Epoch: 29 [9472/47500]	Loss: 0.3155	LR: 0.020000
Training Epoch: 29 [9728/47500]	Loss: 0.4310	LR: 0.020000
Training Epoch: 29 [9984/47500]	Loss: 0.3974	LR: 0.020000
Training Epoch: 29 [10240/47500]	Loss: 0.3216	LR: 0.020000
Training Epoch: 29 [10496/47500]	Loss: 0.3391	LR: 0.020000
Training Epoch: 29 [10752/47500]	Loss: 0.2650	LR: 0.020000
Training Epoch: 29 [11008/47500]	Loss: 0.3165	LR: 0.020000
Training Epoch: 29 [11264/47500]	Loss: 0.3294	LR: 0.020000
Training Epoch: 29 [11520/47500]	Loss: 0.3461	LR: 0.020000
Training Epoch: 29 [11776/47500]	Loss: 0.3256	LR: 0.020000
Training Epoch: 29 [12032/47500]	Loss: 0.3305	LR: 0.020000
Training Epoch: 29 [12288/47500]	Loss: 0.3392	LR: 0.020000
Training Epoch: 29 [12544/47500]	Loss: 0.3179	LR: 0.020000
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Training Epoch: 29 [13056/47500]	Loss: 0.3940	LR: 0.020000
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Training Epoch: 29 [14080/47500]	Loss: 0.3524	LR: 0.020000
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Training Epoch: 29 [15360/47500]	Loss: 0.3396	LR: 0.020000
Training Epoch: 29 [15616/47500]	Loss: 0.3263	LR: 0.020000
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Training Epoch: 29 [20224/47500]	Loss: 0.3831	LR: 0.020000
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Training Epoch: 29 [24576/47500]	Loss: 0.4071	LR: 0.020000
Training Epoch: 29 [24832/47500]	Loss: 0.3081	LR: 0.020000
Training Epoch: 29 [25088/47500]	Loss: 0.3281	LR: 0.020000
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Training Epoch: 29 [26112/47500]	Loss: 0.3637	LR: 0.020000
Training Epoch: 29 [26368/47500]	Loss: 0.3475	LR: 0.020000
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Training Epoch: 29 [26880/47500]	Loss: 0.3366	LR: 0.020000
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Training Epoch: 29 [27648/47500]	Loss: 0.3311	LR: 0.020000
Training Epoch: 29 [27904/47500]	Loss: 0.3419	LR: 0.020000
Training Epoch: 29 [28160/47500]	Loss: 0.3592	LR: 0.020000
Training Epoch: 29 [28416/47500]	Loss: 0.3579	LR: 0.020000
Training Epoch: 29 [28672/47500]	Loss: 0.3437	LR: 0.020000
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Training Epoch: 29 [29440/47500]	Loss: 0.3988	LR: 0.020000
Training Epoch: 29 [29696/47500]	Loss: 0.3304	LR: 0.020000
Training Epoch: 29 [29952/47500]	Loss: 0.3818	LR: 0.020000
Training Epoch: 29 [30208/47500]	Loss: 0.3507	LR: 0.020000
Training Epoch: 29 [30464/47500]	Loss: 0.3453	LR: 0.020000
Training Epoch: 29 [30720/47500]	Loss: 0.3178	LR: 0.020000
Training Epoch: 29 [30976/47500]	Loss: 0.3263	LR: 0.020000
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Training Epoch: 29 [32000/47500]	Loss: 0.3981	LR: 0.020000
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Training Epoch: 29 [32512/47500]	Loss: 0.3650	LR: 0.020000
Training Epoch: 29 [32768/47500]	Loss: 0.3784	LR: 0.020000
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Training Epoch: 29 [37376/47500]	Loss: 0.3809	LR: 0.020000
Training Epoch: 29 [37632/47500]	Loss: 0.3391	LR: 0.020000
Training Epoch: 29 [37888/47500]	Loss: 0.3215	LR: 0.020000
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Training Epoch: 29 [38400/47500]	Loss: 0.2907	LR: 0.020000
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Training Epoch: 29 [40192/47500]	Loss: 0.3871	LR: 0.020000
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Training Epoch: 29 [42496/47500]	Loss: 0.3760	LR: 0.020000
Training Epoch: 29 [42752/47500]	Loss: 0.3404	LR: 0.020000
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Training Epoch: 29 [43264/47500]	Loss: 0.3567	LR: 0.020000
Training Epoch: 29 [43520/47500]	Loss: 0.3927	LR: 0.020000
Training Epoch: 29 [43776/47500]	Loss: 0.3658	LR: 0.020000
Training Epoch: 29 [44032/47500]	Loss: 0.3667	LR: 0.020000
Training Epoch: 29 [44288/47500]	Loss: 0.2040	LR: 0.020000
Training Epoch: 29 [44544/47500]	Loss: 0.2626	LR: 0.020000
Training Epoch: 29 [44800/47500]	Loss: 0.3610	LR: 0.020000
Training Epoch: 29 [45056/47500]	Loss: 0.2830	LR: 0.020000
Training Epoch: 29 [45312/47500]	Loss: 0.4787	LR: 0.020000
Training Epoch: 29 [45568/47500]	Loss: 0.3501	LR: 0.020000
Training Epoch: 29 [45824/47500]	Loss: 0.3664	LR: 0.020000
Training Epoch: 29 [46080/47500]	Loss: 0.3226	LR: 0.020000
Training Epoch: 29 [46336/47500]	Loss: 0.3177	LR: 0.020000
Training Epoch: 29 [46592/47500]	Loss: 0.4080	LR: 0.020000
Training Epoch: 29 [46848/47500]	Loss: 0.3653	LR: 0.020000
Training Epoch: 29 [47104/47500]	Loss: 0.2910	LR: 0.020000
Training Epoch: 29 [47360/47500]	Loss: 0.3669	LR: 0.020000
Training Epoch: 29 [47500/47500]	Loss: 0.3643	LR: 0.020000
Epoch 29 - Average Train Loss: 0.3365, Train Accuracy: 0.8884
Epoch 29 training time consumed: 28.32s
Evaluating Network.....
Test set: Epoch: 29, Average loss: 0.0035, Accuracy: 0.7604, Time consumed:0.90s
Training Epoch: 30 [256/47500]	Loss: 0.2483	LR: 0.004000
Training Epoch: 30 [512/47500]	Loss: 0.2866	LR: 0.004000
Training Epoch: 30 [768/47500]	Loss: 0.2920	LR: 0.004000
Training Epoch: 30 [1024/47500]	Loss: 0.3455	LR: 0.004000
Training Epoch: 30 [1280/47500]	Loss: 0.3004	LR: 0.004000
Training Epoch: 30 [1536/47500]	Loss: 0.2602	LR: 0.004000
Training Epoch: 30 [1792/47500]	Loss: 0.2628	LR: 0.004000
Training Epoch: 30 [2048/47500]	Loss: 0.2617	LR: 0.004000
Training Epoch: 30 [2304/47500]	Loss: 0.2297	LR: 0.004000
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Training Epoch: 30 [47500/47500]	Loss: 0.1229	LR: 0.004000
Epoch 30 - Average Train Loss: 0.2223, Train Accuracy: 0.9288
Epoch 30 training time consumed: 28.33s
Evaluating Network.....
Test set: Epoch: 30, Average loss: 0.0028, Accuracy: 0.8022, Time consumed:1.04s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_22h_22m_08s/ResNet18-Cifar20-seed9-ret50-30-best.pth
Training Epoch: 31 [256/47500]	Loss: 0.1951	LR: 0.004000
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Training Epoch: 31 [45824/47500]	Loss: 0.1920	LR: 0.004000
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Training Epoch: 31 [46336/47500]	Loss: 0.1286	LR: 0.004000
Training Epoch: 31 [46592/47500]	Loss: 0.1731	LR: 0.004000
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Training Epoch: 31 [47360/47500]	Loss: 0.2352	LR: 0.004000
Training Epoch: 31 [47500/47500]	Loss: 0.1452	LR: 0.004000
Epoch 31 - Average Train Loss: 0.1786, Train Accuracy: 0.9450
Epoch 31 training time consumed: 28.44s
Evaluating Network.....
Test set: Epoch: 31, Average loss: 0.0028, Accuracy: 0.8024, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_22h_22m_08s/ResNet18-Cifar20-seed9-ret50-31-best.pth
Training Epoch: 32 [256/47500]	Loss: 0.1317	LR: 0.004000
Training Epoch: 32 [512/47500]	Loss: 0.1598	LR: 0.004000
Training Epoch: 32 [768/47500]	Loss: 0.1817	LR: 0.004000
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Training Epoch: 32 [46336/47500]	Loss: 0.1739	LR: 0.004000
Training Epoch: 32 [46592/47500]	Loss: 0.1594	LR: 0.004000
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Training Epoch: 32 [47104/47500]	Loss: 0.1874	LR: 0.004000
Training Epoch: 32 [47360/47500]	Loss: 0.2107	LR: 0.004000
Training Epoch: 32 [47500/47500]	Loss: 0.1534	LR: 0.004000
Epoch 32 - Average Train Loss: 0.1591, Train Accuracy: 0.9515
Epoch 32 training time consumed: 28.38s
Evaluating Network.....
Test set: Epoch: 32, Average loss: 0.0028, Accuracy: 0.8037, Time consumed:1.03s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_22h_22m_08s/ResNet18-Cifar20-seed9-ret50-32-best.pth
Training Epoch: 33 [256/47500]	Loss: 0.1343	LR: 0.004000
Training Epoch: 33 [512/47500]	Loss: 0.1266	LR: 0.004000
Training Epoch: 33 [768/47500]	Loss: 0.1477	LR: 0.004000
Training Epoch: 33 [1024/47500]	Loss: 0.1512	LR: 0.004000
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Training Epoch: 33 [4864/47500]	Loss: 0.1308	LR: 0.004000
Training Epoch: 33 [5120/47500]	Loss: 0.1247	LR: 0.004000
Training Epoch: 33 [5376/47500]	Loss: 0.1165	LR: 0.004000
Training Epoch: 33 [5632/47500]	Loss: 0.1300	LR: 0.004000
Training Epoch: 33 [5888/47500]	Loss: 0.1144	LR: 0.004000
Training Epoch: 33 [6144/47500]	Loss: 0.1643	LR: 0.004000
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Training Epoch: 33 [6656/47500]	Loss: 0.1521	LR: 0.004000
Training Epoch: 33 [6912/47500]	Loss: 0.1474	LR: 0.004000
Training Epoch: 33 [7168/47500]	Loss: 0.1634	LR: 0.004000
Training Epoch: 33 [7424/47500]	Loss: 0.1419	LR: 0.004000
Training Epoch: 33 [7680/47500]	Loss: 0.1324	LR: 0.004000
Training Epoch: 33 [7936/47500]	Loss: 0.1678	LR: 0.004000
Training Epoch: 33 [8192/47500]	Loss: 0.1335	LR: 0.004000
Training Epoch: 33 [8448/47500]	Loss: 0.1195	LR: 0.004000
Training Epoch: 33 [8704/47500]	Loss: 0.1441	LR: 0.004000
Training Epoch: 33 [8960/47500]	Loss: 0.1703	LR: 0.004000
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Training Epoch: 33 [9472/47500]	Loss: 0.1252	LR: 0.004000
Training Epoch: 33 [9728/47500]	Loss: 0.1630	LR: 0.004000
Training Epoch: 33 [9984/47500]	Loss: 0.1624	LR: 0.004000
Training Epoch: 33 [10240/47500]	Loss: 0.1711	LR: 0.004000
Training Epoch: 33 [10496/47500]	Loss: 0.1348	LR: 0.004000
Training Epoch: 33 [10752/47500]	Loss: 0.1662	LR: 0.004000
Training Epoch: 33 [11008/47500]	Loss: 0.1590	LR: 0.004000
Training Epoch: 33 [11264/47500]	Loss: 0.1588	LR: 0.004000
Training Epoch: 33 [11520/47500]	Loss: 0.1066	LR: 0.004000
Training Epoch: 33 [11776/47500]	Loss: 0.1415	LR: 0.004000
Training Epoch: 33 [12032/47500]	Loss: 0.1576	LR: 0.004000
Training Epoch: 33 [12288/47500]	Loss: 0.1072	LR: 0.004000
Training Epoch: 33 [12544/47500]	Loss: 0.1424	LR: 0.004000
Training Epoch: 33 [12800/47500]	Loss: 0.1520	LR: 0.004000
Training Epoch: 33 [13056/47500]	Loss: 0.0685	LR: 0.004000
Training Epoch: 33 [13312/47500]	Loss: 0.1311	LR: 0.004000
Training Epoch: 33 [13568/47500]	Loss: 0.1275	LR: 0.004000
Training Epoch: 33 [13824/47500]	Loss: 0.1186	LR: 0.004000
Training Epoch: 33 [14080/47500]	Loss: 0.1210	LR: 0.004000
Training Epoch: 33 [14336/47500]	Loss: 0.1546	LR: 0.004000
Training Epoch: 33 [14592/47500]	Loss: 0.1248	LR: 0.004000
Training Epoch: 33 [14848/47500]	Loss: 0.1431	LR: 0.004000
Training Epoch: 33 [15104/47500]	Loss: 0.1385	LR: 0.004000
Training Epoch: 33 [15360/47500]	Loss: 0.1424	LR: 0.004000
Training Epoch: 33 [15616/47500]	Loss: 0.2162	LR: 0.004000
Training Epoch: 33 [15872/47500]	Loss: 0.1687	LR: 0.004000
Training Epoch: 33 [16128/47500]	Loss: 0.1548	LR: 0.004000
Training Epoch: 33 [16384/47500]	Loss: 0.1433	LR: 0.004000
Training Epoch: 33 [16640/47500]	Loss: 0.1817	LR: 0.004000
Training Epoch: 33 [16896/47500]	Loss: 0.1395	LR: 0.004000
Training Epoch: 33 [17152/47500]	Loss: 0.1573	LR: 0.004000
Training Epoch: 33 [17408/47500]	Loss: 0.1381	LR: 0.004000
Training Epoch: 33 [17664/47500]	Loss: 0.1231	LR: 0.004000
Training Epoch: 33 [17920/47500]	Loss: 0.1299	LR: 0.004000
Training Epoch: 33 [18176/47500]	Loss: 0.1165	LR: 0.004000
Training Epoch: 33 [18432/47500]	Loss: 0.1616	LR: 0.004000
Training Epoch: 33 [18688/47500]	Loss: 0.1818	LR: 0.004000
Training Epoch: 33 [18944/47500]	Loss: 0.1794	LR: 0.004000
Training Epoch: 33 [19200/47500]	Loss: 0.0994	LR: 0.004000
Training Epoch: 33 [19456/47500]	Loss: 0.1466	LR: 0.004000
Training Epoch: 33 [19712/47500]	Loss: 0.1565	LR: 0.004000
Training Epoch: 33 [19968/47500]	Loss: 0.1238	LR: 0.004000
Training Epoch: 33 [20224/47500]	Loss: 0.1624	LR: 0.004000
Training Epoch: 33 [20480/47500]	Loss: 0.1283	LR: 0.004000
Training Epoch: 33 [20736/47500]	Loss: 0.1051	LR: 0.004000
Training Epoch: 33 [20992/47500]	Loss: 0.1654	LR: 0.004000
Training Epoch: 33 [21248/47500]	Loss: 0.1522	LR: 0.004000
Training Epoch: 33 [21504/47500]	Loss: 0.1613	LR: 0.004000
Training Epoch: 33 [21760/47500]	Loss: 0.1216	LR: 0.004000
Training Epoch: 33 [22016/47500]	Loss: 0.1438	LR: 0.004000
Training Epoch: 33 [22272/47500]	Loss: 0.1378	LR: 0.004000
Training Epoch: 33 [22528/47500]	Loss: 0.1762	LR: 0.004000
Training Epoch: 33 [22784/47500]	Loss: 0.1288	LR: 0.004000
Training Epoch: 33 [23040/47500]	Loss: 0.1694	LR: 0.004000
Training Epoch: 33 [23296/47500]	Loss: 0.0996	LR: 0.004000
Training Epoch: 33 [23552/47500]	Loss: 0.1176	LR: 0.004000
Training Epoch: 33 [23808/47500]	Loss: 0.1243	LR: 0.004000
Training Epoch: 33 [24064/47500]	Loss: 0.1873	LR: 0.004000
Training Epoch: 33 [24320/47500]	Loss: 0.1440	LR: 0.004000
Training Epoch: 33 [24576/47500]	Loss: 0.1692	LR: 0.004000
Training Epoch: 33 [24832/47500]	Loss: 0.1610	LR: 0.004000
Training Epoch: 33 [25088/47500]	Loss: 0.1721	LR: 0.004000
Training Epoch: 33 [25344/47500]	Loss: 0.1043	LR: 0.004000
Training Epoch: 33 [25600/47500]	Loss: 0.1523	LR: 0.004000
Training Epoch: 33 [25856/47500]	Loss: 0.1467	LR: 0.004000
Training Epoch: 33 [26112/47500]	Loss: 0.1583	LR: 0.004000
Training Epoch: 33 [26368/47500]	Loss: 0.1946	LR: 0.004000
Training Epoch: 33 [26624/47500]	Loss: 0.1124	LR: 0.004000
Training Epoch: 33 [26880/47500]	Loss: 0.1441	LR: 0.004000
Training Epoch: 33 [27136/47500]	Loss: 0.1380	LR: 0.004000
Training Epoch: 33 [27392/47500]	Loss: 0.1166	LR: 0.004000
Training Epoch: 33 [27648/47500]	Loss: 0.0988	LR: 0.004000
Training Epoch: 33 [27904/47500]	Loss: 0.1447	LR: 0.004000
Training Epoch: 33 [28160/47500]	Loss: 0.1073	LR: 0.004000
Training Epoch: 33 [28416/47500]	Loss: 0.1805	LR: 0.004000
Training Epoch: 33 [28672/47500]	Loss: 0.1602	LR: 0.004000
Training Epoch: 33 [28928/47500]	Loss: 0.1416	LR: 0.004000
Training Epoch: 33 [29184/47500]	Loss: 0.1393	LR: 0.004000
Training Epoch: 33 [29440/47500]	Loss: 0.0929	LR: 0.004000
Training Epoch: 33 [29696/47500]	Loss: 0.1381	LR: 0.004000
Training Epoch: 33 [29952/47500]	Loss: 0.1401	LR: 0.004000
Training Epoch: 33 [30208/47500]	Loss: 0.1240	LR: 0.004000
Training Epoch: 33 [30464/47500]	Loss: 0.1323	LR: 0.004000
Training Epoch: 33 [30720/47500]	Loss: 0.1174	LR: 0.004000
Training Epoch: 33 [30976/47500]	Loss: 0.1369	LR: 0.004000
Training Epoch: 33 [31232/47500]	Loss: 0.1246	LR: 0.004000
Training Epoch: 33 [31488/47500]	Loss: 0.1920	LR: 0.004000
Training Epoch: 33 [31744/47500]	Loss: 0.1334	LR: 0.004000
Training Epoch: 33 [32000/47500]	Loss: 0.1622	LR: 0.004000
Training Epoch: 33 [32256/47500]	Loss: 0.1572	LR: 0.004000
Training Epoch: 33 [32512/47500]	Loss: 0.1170	LR: 0.004000
Training Epoch: 33 [32768/47500]	Loss: 0.1735	LR: 0.004000
Training Epoch: 33 [33024/47500]	Loss: 0.1660	LR: 0.004000
Training Epoch: 33 [33280/47500]	Loss: 0.1661	LR: 0.004000
Training Epoch: 33 [33536/47500]	Loss: 0.1265	LR: 0.004000
Training Epoch: 33 [33792/47500]	Loss: 0.1713	LR: 0.004000
Training Epoch: 33 [34048/47500]	Loss: 0.1026	LR: 0.004000
Training Epoch: 33 [34304/47500]	Loss: 0.1584	LR: 0.004000
Training Epoch: 33 [34560/47500]	Loss: 0.1432	LR: 0.004000
Training Epoch: 33 [34816/47500]	Loss: 0.1629	LR: 0.004000
Training Epoch: 33 [35072/47500]	Loss: 0.1543	LR: 0.004000
Training Epoch: 33 [35328/47500]	Loss: 0.1237	LR: 0.004000
Training Epoch: 33 [35584/47500]	Loss: 0.1447	LR: 0.004000
Training Epoch: 33 [35840/47500]	Loss: 0.1611	LR: 0.004000
Training Epoch: 33 [36096/47500]	Loss: 0.2088	LR: 0.004000
Training Epoch: 33 [36352/47500]	Loss: 0.2274	LR: 0.004000
Training Epoch: 33 [36608/47500]	Loss: 0.1217	LR: 0.004000
Training Epoch: 33 [36864/47500]	Loss: 0.2100	LR: 0.004000
Training Epoch: 33 [37120/47500]	Loss: 0.1142	LR: 0.004000
Training Epoch: 33 [37376/47500]	Loss: 0.1280	LR: 0.004000
Training Epoch: 33 [37632/47500]	Loss: 0.1880	LR: 0.004000
Training Epoch: 33 [37888/47500]	Loss: 0.1275	LR: 0.004000
Training Epoch: 33 [38144/47500]	Loss: 0.1334	LR: 0.004000
Training Epoch: 33 [38400/47500]	Loss: 0.1753	LR: 0.004000
Training Epoch: 33 [38656/47500]	Loss: 0.1518	LR: 0.004000
Training Epoch: 33 [38912/47500]	Loss: 0.1614	LR: 0.004000
Training Epoch: 33 [39168/47500]	Loss: 0.1575	LR: 0.004000
Training Epoch: 33 [39424/47500]	Loss: 0.1511	LR: 0.004000
Training Epoch: 33 [39680/47500]	Loss: 0.0912	LR: 0.004000
Training Epoch: 33 [39936/47500]	Loss: 0.1429	LR: 0.004000
Training Epoch: 33 [40192/47500]	Loss: 0.1360	LR: 0.004000
Training Epoch: 33 [40448/47500]	Loss: 0.1292	LR: 0.004000
Training Epoch: 33 [40704/47500]	Loss: 0.2382	LR: 0.004000
Training Epoch: 33 [40960/47500]	Loss: 0.2026	LR: 0.004000
Training Epoch: 33 [41216/47500]	Loss: 0.1440	LR: 0.004000
Training Epoch: 33 [41472/47500]	Loss: 0.1412	LR: 0.004000
Training Epoch: 33 [41728/47500]	Loss: 0.1444	LR: 0.004000
Training Epoch: 33 [41984/47500]	Loss: 0.1579	LR: 0.004000
Training Epoch: 33 [42240/47500]	Loss: 0.1201	LR: 0.004000
Training Epoch: 33 [42496/47500]	Loss: 0.1575	LR: 0.004000
Training Epoch: 33 [42752/47500]	Loss: 0.1719	LR: 0.004000
Training Epoch: 33 [43008/47500]	Loss: 0.1752	LR: 0.004000
Training Epoch: 33 [43264/47500]	Loss: 0.1712	LR: 0.004000
Training Epoch: 33 [43520/47500]	Loss: 0.1644	LR: 0.004000
Training Epoch: 33 [43776/47500]	Loss: 0.1353	LR: 0.004000
Training Epoch: 33 [44032/47500]	Loss: 0.1450	LR: 0.004000
Training Epoch: 33 [44288/47500]	Loss: 0.1329	LR: 0.004000
Training Epoch: 33 [44544/47500]	Loss: 0.1720	LR: 0.004000
Training Epoch: 33 [44800/47500]	Loss: 0.1457	LR: 0.004000
Training Epoch: 33 [45056/47500]	Loss: 0.1030	LR: 0.004000
Training Epoch: 33 [45312/47500]	Loss: 0.1541	LR: 0.004000
Training Epoch: 33 [45568/47500]	Loss: 0.1300	LR: 0.004000
Training Epoch: 33 [45824/47500]	Loss: 0.1611	LR: 0.004000
Training Epoch: 33 [46080/47500]	Loss: 0.1552	LR: 0.004000
Training Epoch: 33 [46336/47500]	Loss: 0.1418	LR: 0.004000
Training Epoch: 33 [46592/47500]	Loss: 0.1309	LR: 0.004000
Training Epoch: 33 [46848/47500]	Loss: 0.1674	LR: 0.004000
Training Epoch: 33 [47104/47500]	Loss: 0.1379	LR: 0.004000
Training Epoch: 33 [47360/47500]	Loss: 0.1169	LR: 0.004000
Training Epoch: 33 [47500/47500]	Loss: 0.1691	LR: 0.004000
Epoch 33 - Average Train Loss: 0.1454, Train Accuracy: 0.9555
Epoch 33 training time consumed: 28.32s
Evaluating Network.....
Test set: Epoch: 33, Average loss: 0.0029, Accuracy: 0.8023, Time consumed:0.92s
Training Epoch: 34 [256/47500]	Loss: 0.1102	LR: 0.004000
Training Epoch: 34 [512/47500]	Loss: 0.1001	LR: 0.004000
Training Epoch: 34 [768/47500]	Loss: 0.1234	LR: 0.004000
Training Epoch: 34 [1024/47500]	Loss: 0.1009	LR: 0.004000
Training Epoch: 34 [1280/47500]	Loss: 0.1362	LR: 0.004000
Training Epoch: 34 [1536/47500]	Loss: 0.1147	LR: 0.004000
Training Epoch: 34 [1792/47500]	Loss: 0.1440	LR: 0.004000
Training Epoch: 34 [2048/47500]	Loss: 0.1040	LR: 0.004000
Training Epoch: 34 [2304/47500]	Loss: 0.1123	LR: 0.004000
Training Epoch: 34 [2560/47500]	Loss: 0.1044	LR: 0.004000
Training Epoch: 34 [2816/47500]	Loss: 0.1467	LR: 0.004000
Training Epoch: 34 [3072/47500]	Loss: 0.1072	LR: 0.004000
Training Epoch: 34 [3328/47500]	Loss: 0.1664	LR: 0.004000
Training Epoch: 34 [3584/47500]	Loss: 0.1428	LR: 0.004000
Training Epoch: 34 [3840/47500]	Loss: 0.1394	LR: 0.004000
Training Epoch: 34 [4096/47500]	Loss: 0.1250	LR: 0.004000
Training Epoch: 34 [4352/47500]	Loss: 0.1368	LR: 0.004000
Training Epoch: 34 [4608/47500]	Loss: 0.1129	LR: 0.004000
Training Epoch: 34 [4864/47500]	Loss: 0.1384	LR: 0.004000
Training Epoch: 34 [5120/47500]	Loss: 0.1442	LR: 0.004000
Training Epoch: 34 [5376/47500]	Loss: 0.1498	LR: 0.004000
Training Epoch: 34 [5632/47500]	Loss: 0.0755	LR: 0.004000
Training Epoch: 34 [5888/47500]	Loss: 0.1143	LR: 0.004000
Training Epoch: 34 [6144/47500]	Loss: 0.1145	LR: 0.004000
Training Epoch: 34 [6400/47500]	Loss: 0.1257	LR: 0.004000
Training Epoch: 34 [6656/47500]	Loss: 0.1368	LR: 0.004000
Training Epoch: 34 [6912/47500]	Loss: 0.1560	LR: 0.004000
Training Epoch: 34 [7168/47500]	Loss: 0.1540	LR: 0.004000
Training Epoch: 34 [7424/47500]	Loss: 0.1369	LR: 0.004000
Training Epoch: 34 [7680/47500]	Loss: 0.1590	LR: 0.004000
Training Epoch: 34 [7936/47500]	Loss: 0.1243	LR: 0.004000
Training Epoch: 34 [8192/47500]	Loss: 0.1130	LR: 0.004000
Training Epoch: 34 [8448/47500]	Loss: 0.1265	LR: 0.004000
Training Epoch: 34 [8704/47500]	Loss: 0.0919	LR: 0.004000
Training Epoch: 34 [8960/47500]	Loss: 0.1436	LR: 0.004000
Training Epoch: 34 [9216/47500]	Loss: 0.1272	LR: 0.004000
Training Epoch: 34 [9472/47500]	Loss: 0.1343	LR: 0.004000
Training Epoch: 34 [9728/47500]	Loss: 0.1690	LR: 0.004000
Training Epoch: 34 [9984/47500]	Loss: 0.1472	LR: 0.004000
Training Epoch: 34 [10240/47500]	Loss: 0.1368	LR: 0.004000
Training Epoch: 34 [10496/47500]	Loss: 0.1768	LR: 0.004000
Training Epoch: 34 [10752/47500]	Loss: 0.1066	LR: 0.004000
Training Epoch: 34 [11008/47500]	Loss: 0.1050	LR: 0.004000
Training Epoch: 34 [11264/47500]	Loss: 0.1729	LR: 0.004000
Training Epoch: 34 [11520/47500]	Loss: 0.1819	LR: 0.004000
Training Epoch: 34 [11776/47500]	Loss: 0.1326	LR: 0.004000
Training Epoch: 34 [12032/47500]	Loss: 0.1267	LR: 0.004000
Training Epoch: 34 [12288/47500]	Loss: 0.1242	LR: 0.004000
Training Epoch: 34 [12544/47500]	Loss: 0.0844	LR: 0.004000
Training Epoch: 34 [12800/47500]	Loss: 0.1328	LR: 0.004000
Training Epoch: 34 [13056/47500]	Loss: 0.1847	LR: 0.004000
Training Epoch: 34 [13312/47500]	Loss: 0.1478	LR: 0.004000
Training Epoch: 34 [13568/47500]	Loss: 0.1693	LR: 0.004000
Training Epoch: 34 [13824/47500]	Loss: 0.1442	LR: 0.004000
Training Epoch: 34 [14080/47500]	Loss: 0.1150	LR: 0.004000
Training Epoch: 34 [14336/47500]	Loss: 0.1074	LR: 0.004000
Training Epoch: 34 [14592/47500]	Loss: 0.1054	LR: 0.004000
Training Epoch: 34 [14848/47500]	Loss: 0.1392	LR: 0.004000
Training Epoch: 34 [15104/47500]	Loss: 0.2018	LR: 0.004000
Training Epoch: 34 [15360/47500]	Loss: 0.1263	LR: 0.004000
Training Epoch: 34 [15616/47500]	Loss: 0.1293	LR: 0.004000
Training Epoch: 34 [15872/47500]	Loss: 0.1561	LR: 0.004000
Training Epoch: 34 [16128/47500]	Loss: 0.1300	LR: 0.004000
Training Epoch: 34 [16384/47500]	Loss: 0.1552	LR: 0.004000
Training Epoch: 34 [16640/47500]	Loss: 0.1554	LR: 0.004000
Training Epoch: 34 [16896/47500]	Loss: 0.1856	LR: 0.004000
Training Epoch: 34 [17152/47500]	Loss: 0.1488	LR: 0.004000
Training Epoch: 34 [17408/47500]	Loss: 0.1252	LR: 0.004000
Training Epoch: 34 [17664/47500]	Loss: 0.1301	LR: 0.004000
Training Epoch: 34 [17920/47500]	Loss: 0.1274	LR: 0.004000
Training Epoch: 34 [18176/47500]	Loss: 0.1352	LR: 0.004000
Training Epoch: 34 [18432/47500]	Loss: 0.1266	LR: 0.004000
Training Epoch: 34 [18688/47500]	Loss: 0.1181	LR: 0.004000
Training Epoch: 34 [18944/47500]	Loss: 0.1564	LR: 0.004000
Training Epoch: 34 [19200/47500]	Loss: 0.1038	LR: 0.004000
Training Epoch: 34 [19456/47500]	Loss: 0.1275	LR: 0.004000
Training Epoch: 34 [19712/47500]	Loss: 0.1220	LR: 0.004000
Training Epoch: 34 [19968/47500]	Loss: 0.2402	LR: 0.004000
Training Epoch: 34 [20224/47500]	Loss: 0.1309	LR: 0.004000
Training Epoch: 34 [20480/47500]	Loss: 0.1608	LR: 0.004000
Training Epoch: 34 [20736/47500]	Loss: 0.0744	LR: 0.004000
Training Epoch: 34 [20992/47500]	Loss: 0.1186	LR: 0.004000
Training Epoch: 34 [21248/47500]	Loss: 0.1778	LR: 0.004000
Training Epoch: 34 [21504/47500]	Loss: 0.1044	LR: 0.004000
Training Epoch: 34 [21760/47500]	Loss: 0.1408	LR: 0.004000
Training Epoch: 34 [22016/47500]	Loss: 0.1128	LR: 0.004000
Training Epoch: 34 [22272/47500]	Loss: 0.1067	LR: 0.004000
Training Epoch: 34 [22528/47500]	Loss: 0.1334	LR: 0.004000
Training Epoch: 34 [22784/47500]	Loss: 0.1241	LR: 0.004000
Training Epoch: 34 [23040/47500]	Loss: 0.1519	LR: 0.004000
Training Epoch: 34 [23296/47500]	Loss: 0.1840	LR: 0.004000
Training Epoch: 34 [23552/47500]	Loss: 0.1590	LR: 0.004000
Training Epoch: 34 [23808/47500]	Loss: 0.1477	LR: 0.004000
Training Epoch: 34 [24064/47500]	Loss: 0.1505	LR: 0.004000
Training Epoch: 34 [24320/47500]	Loss: 0.0841	LR: 0.004000
Training Epoch: 34 [24576/47500]	Loss: 0.1276	LR: 0.004000
Training Epoch: 34 [24832/47500]	Loss: 0.1454	LR: 0.004000
Training Epoch: 34 [25088/47500]	Loss: 0.1616	LR: 0.004000
Training Epoch: 34 [25344/47500]	Loss: 0.1188	LR: 0.004000
Training Epoch: 34 [25600/47500]	Loss: 0.1719	LR: 0.004000
Training Epoch: 34 [25856/47500]	Loss: 0.2108	LR: 0.004000
Training Epoch: 34 [26112/47500]	Loss: 0.1297	LR: 0.004000
Training Epoch: 34 [26368/47500]	Loss: 0.1808	LR: 0.004000
Training Epoch: 34 [26624/47500]	Loss: 0.1343	LR: 0.004000
Training Epoch: 34 [26880/47500]	Loss: 0.1334	LR: 0.004000
Training Epoch: 34 [27136/47500]	Loss: 0.1125	LR: 0.004000
Training Epoch: 34 [27392/47500]	Loss: 0.1415	LR: 0.004000
Training Epoch: 34 [27648/47500]	Loss: 0.1525	LR: 0.004000
Training Epoch: 34 [27904/47500]	Loss: 0.1753	LR: 0.004000
Training Epoch: 34 [28160/47500]	Loss: 0.1295	LR: 0.004000
Training Epoch: 34 [28416/47500]	Loss: 0.1174	LR: 0.004000
Training Epoch: 34 [28672/47500]	Loss: 0.1076	LR: 0.004000
Training Epoch: 34 [28928/47500]	Loss: 0.1647	LR: 0.004000
Training Epoch: 34 [29184/47500]	Loss: 0.1236	LR: 0.004000
Training Epoch: 34 [29440/47500]	Loss: 0.1204	LR: 0.004000
Training Epoch: 34 [29696/47500]	Loss: 0.1557	LR: 0.004000
Training Epoch: 34 [29952/47500]	Loss: 0.1401	LR: 0.004000
Training Epoch: 34 [30208/47500]	Loss: 0.1020	LR: 0.004000
Training Epoch: 34 [30464/47500]	Loss: 0.1587	LR: 0.004000
Training Epoch: 34 [30720/47500]	Loss: 0.1627	LR: 0.004000
Training Epoch: 34 [30976/47500]	Loss: 0.1444	LR: 0.004000
Training Epoch: 34 [31232/47500]	Loss: 0.1187	LR: 0.004000
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Training Epoch: 34 [44032/47500]	Loss: 0.1851	LR: 0.004000
Training Epoch: 34 [44288/47500]	Loss: 0.1201	LR: 0.004000
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Training Epoch: 34 [44800/47500]	Loss: 0.1351	LR: 0.004000
Training Epoch: 34 [45056/47500]	Loss: 0.1220	LR: 0.004000
Training Epoch: 34 [45312/47500]	Loss: 0.1402	LR: 0.004000
Training Epoch: 34 [45568/47500]	Loss: 0.1698	LR: 0.004000
Training Epoch: 34 [45824/47500]	Loss: 0.1701	LR: 0.004000
Training Epoch: 34 [46080/47500]	Loss: 0.1142	LR: 0.004000
Training Epoch: 34 [46336/47500]	Loss: 0.1626	LR: 0.004000
Training Epoch: 34 [46592/47500]	Loss: 0.1429	LR: 0.004000
Training Epoch: 34 [46848/47500]	Loss: 0.1524	LR: 0.004000
Training Epoch: 34 [47104/47500]	Loss: 0.0919	LR: 0.004000
Training Epoch: 34 [47360/47500]	Loss: 0.1096	LR: 0.004000
Training Epoch: 34 [47500/47500]	Loss: 0.1477	LR: 0.004000
Epoch 34 - Average Train Loss: 0.1379, Train Accuracy: 0.9571
Epoch 34 training time consumed: 28.42s
Evaluating Network.....
Test set: Epoch: 34, Average loss: 0.0029, Accuracy: 0.8044, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_22h_22m_08s/ResNet18-Cifar20-seed9-ret50-34-best.pth
Training Epoch: 35 [256/47500]	Loss: 0.1083	LR: 0.000800
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Training Epoch: 35 [46592/47500]	Loss: 0.0965	LR: 0.000800
Training Epoch: 35 [46848/47500]	Loss: 0.0853	LR: 0.000800
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Training Epoch: 35 [47360/47500]	Loss: 0.1228	LR: 0.000800
Training Epoch: 35 [47500/47500]	Loss: 0.1231	LR: 0.000800
Epoch 35 - Average Train Loss: 0.1204, Train Accuracy: 0.9652
Epoch 35 training time consumed: 28.51s
Evaluating Network.....
Test set: Epoch: 35, Average loss: 0.0028, Accuracy: 0.8077, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_22h_22m_08s/ResNet18-Cifar20-seed9-ret50-35-best.pth
Training Epoch: 36 [256/47500]	Loss: 0.1503	LR: 0.000800
Training Epoch: 36 [512/47500]	Loss: 0.0939	LR: 0.000800
Training Epoch: 36 [768/47500]	Loss: 0.1257	LR: 0.000800
Training Epoch: 36 [1024/47500]	Loss: 0.1171	LR: 0.000800
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Training Epoch: 36 [1536/47500]	Loss: 0.0950	LR: 0.000800
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Training Epoch: 36 [45312/47500]	Loss: 0.0858	LR: 0.000800
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Training Epoch: 36 [46336/47500]	Loss: 0.1789	LR: 0.000800
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Training Epoch: 36 [46848/47500]	Loss: 0.0893	LR: 0.000800
Training Epoch: 36 [47104/47500]	Loss: 0.1329	LR: 0.000800
Training Epoch: 36 [47360/47500]	Loss: 0.1032	LR: 0.000800
Training Epoch: 36 [47500/47500]	Loss: 0.1590	LR: 0.000800
Epoch 36 - Average Train Loss: 0.1146, Train Accuracy: 0.9672
Epoch 36 training time consumed: 28.31s
Evaluating Network.....
Test set: Epoch: 36, Average loss: 0.0028, Accuracy: 0.8083, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_22h_22m_08s/ResNet18-Cifar20-seed9-ret50-36-best.pth
Training Epoch: 37 [256/47500]	Loss: 0.1071	LR: 0.000800
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Training Epoch: 37 [33280/47500]	Loss: 0.1157	LR: 0.000800
Training Epoch: 37 [33536/47500]	Loss: 0.0896	LR: 0.000800
Training Epoch: 37 [33792/47500]	Loss: 0.0816	LR: 0.000800
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Training Epoch: 37 [34560/47500]	Loss: 0.1702	LR: 0.000800
Training Epoch: 37 [34816/47500]	Loss: 0.1138	LR: 0.000800
Training Epoch: 37 [35072/47500]	Loss: 0.0982	LR: 0.000800
Training Epoch: 37 [35328/47500]	Loss: 0.0683	LR: 0.000800
Training Epoch: 37 [35584/47500]	Loss: 0.1286	LR: 0.000800
Training Epoch: 37 [35840/47500]	Loss: 0.1490	LR: 0.000800
Training Epoch: 37 [36096/47500]	Loss: 0.1035	LR: 0.000800
Training Epoch: 37 [36352/47500]	Loss: 0.1559	LR: 0.000800
Training Epoch: 37 [36608/47500]	Loss: 0.1045	LR: 0.000800
Training Epoch: 37 [36864/47500]	Loss: 0.0750	LR: 0.000800
Training Epoch: 37 [37120/47500]	Loss: 0.1186	LR: 0.000800
Training Epoch: 37 [37376/47500]	Loss: 0.1040	LR: 0.000800
Training Epoch: 37 [37632/47500]	Loss: 0.1197	LR: 0.000800
Training Epoch: 37 [37888/47500]	Loss: 0.1108	LR: 0.000800
Training Epoch: 37 [38144/47500]	Loss: 0.1158	LR: 0.000800
Training Epoch: 37 [38400/47500]	Loss: 0.1320	LR: 0.000800
Training Epoch: 37 [38656/47500]	Loss: 0.1236	LR: 0.000800
Training Epoch: 37 [38912/47500]	Loss: 0.0790	LR: 0.000800
Training Epoch: 37 [39168/47500]	Loss: 0.0700	LR: 0.000800
Training Epoch: 37 [39424/47500]	Loss: 0.1441	LR: 0.000800
Training Epoch: 37 [39680/47500]	Loss: 0.0979	LR: 0.000800
Training Epoch: 37 [39936/47500]	Loss: 0.1445	LR: 0.000800
Training Epoch: 37 [40192/47500]	Loss: 0.1311	LR: 0.000800
Training Epoch: 37 [40448/47500]	Loss: 0.1113	LR: 0.000800
Training Epoch: 37 [40704/47500]	Loss: 0.1126	LR: 0.000800
Training Epoch: 37 [40960/47500]	Loss: 0.1463	LR: 0.000800
Training Epoch: 37 [41216/47500]	Loss: 0.1185	LR: 0.000800
Training Epoch: 37 [41472/47500]	Loss: 0.0838	LR: 0.000800
Training Epoch: 37 [41728/47500]	Loss: 0.1021	LR: 0.000800
Training Epoch: 37 [41984/47500]	Loss: 0.0966	LR: 0.000800
Training Epoch: 37 [42240/47500]	Loss: 0.1321	LR: 0.000800
Training Epoch: 37 [42496/47500]	Loss: 0.1098	LR: 0.000800
Training Epoch: 37 [42752/47500]	Loss: 0.0731	LR: 0.000800
Training Epoch: 37 [43008/47500]	Loss: 0.0952	LR: 0.000800
Training Epoch: 37 [43264/47500]	Loss: 0.1079	LR: 0.000800
Training Epoch: 37 [43520/47500]	Loss: 0.1173	LR: 0.000800
Training Epoch: 37 [43776/47500]	Loss: 0.0860	LR: 0.000800
Training Epoch: 37 [44032/47500]	Loss: 0.0983	LR: 0.000800
Training Epoch: 37 [44288/47500]	Loss: 0.1128	LR: 0.000800
Training Epoch: 37 [44544/47500]	Loss: 0.1185	LR: 0.000800
Training Epoch: 37 [44800/47500]	Loss: 0.1084	LR: 0.000800
Training Epoch: 37 [45056/47500]	Loss: 0.1401	LR: 0.000800
Training Epoch: 37 [45312/47500]	Loss: 0.1124	LR: 0.000800
Training Epoch: 37 [45568/47500]	Loss: 0.1399	LR: 0.000800
Training Epoch: 37 [45824/47500]	Loss: 0.1045	LR: 0.000800
Training Epoch: 37 [46080/47500]	Loss: 0.0997	LR: 0.000800
Training Epoch: 37 [46336/47500]	Loss: 0.1008	LR: 0.000800
Training Epoch: 37 [46592/47500]	Loss: 0.1561	LR: 0.000800
Training Epoch: 37 [46848/47500]	Loss: 0.1174	LR: 0.000800
Training Epoch: 37 [47104/47500]	Loss: 0.1121	LR: 0.000800
Training Epoch: 37 [47360/47500]	Loss: 0.1216	LR: 0.000800
Training Epoch: 37 [47500/47500]	Loss: 0.1401	LR: 0.000800
Epoch 37 - Average Train Loss: 0.1100, Train Accuracy: 0.9693
Epoch 37 training time consumed: 28.80s
Evaluating Network.....
Test set: Epoch: 37, Average loss: 0.0028, Accuracy: 0.8080, Time consumed:0.90s
Training Epoch: 38 [256/47500]	Loss: 0.0916	LR: 0.000800
Training Epoch: 38 [512/47500]	Loss: 0.0964	LR: 0.000800
Training Epoch: 38 [768/47500]	Loss: 0.1081	LR: 0.000800
Training Epoch: 38 [1024/47500]	Loss: 0.0984	LR: 0.000800
Training Epoch: 38 [1280/47500]	Loss: 0.1151	LR: 0.000800
Training Epoch: 38 [1536/47500]	Loss: 0.0731	LR: 0.000800
Training Epoch: 38 [1792/47500]	Loss: 0.1115	LR: 0.000800
Training Epoch: 38 [2048/47500]	Loss: 0.1171	LR: 0.000800
Training Epoch: 38 [2304/47500]	Loss: 0.1341	LR: 0.000800
Training Epoch: 38 [2560/47500]	Loss: 0.0959	LR: 0.000800
Training Epoch: 38 [2816/47500]	Loss: 0.1679	LR: 0.000800
Training Epoch: 38 [3072/47500]	Loss: 0.1427	LR: 0.000800
Training Epoch: 38 [3328/47500]	Loss: 0.0868	LR: 0.000800
Training Epoch: 38 [3584/47500]	Loss: 0.0999	LR: 0.000800
Training Epoch: 38 [3840/47500]	Loss: 0.1193	LR: 0.000800
Training Epoch: 38 [4096/47500]	Loss: 0.1089	LR: 0.000800
Training Epoch: 38 [4352/47500]	Loss: 0.0954	LR: 0.000800
Training Epoch: 38 [4608/47500]	Loss: 0.1116	LR: 0.000800
Training Epoch: 38 [4864/47500]	Loss: 0.0997	LR: 0.000800
Training Epoch: 38 [5120/47500]	Loss: 0.1237	LR: 0.000800
Training Epoch: 38 [5376/47500]	Loss: 0.1155	LR: 0.000800
Training Epoch: 38 [5632/47500]	Loss: 0.0833	LR: 0.000800
Training Epoch: 38 [5888/47500]	Loss: 0.1605	LR: 0.000800
Training Epoch: 38 [6144/47500]	Loss: 0.0685	LR: 0.000800
Training Epoch: 38 [6400/47500]	Loss: 0.1286	LR: 0.000800
Training Epoch: 38 [6656/47500]	Loss: 0.1168	LR: 0.000800
Training Epoch: 38 [6912/47500]	Loss: 0.1236	LR: 0.000800
Training Epoch: 38 [7168/47500]	Loss: 0.1165	LR: 0.000800
Training Epoch: 38 [7424/47500]	Loss: 0.0850	LR: 0.000800
Training Epoch: 38 [7680/47500]	Loss: 0.0831	LR: 0.000800
Training Epoch: 38 [7936/47500]	Loss: 0.1261	LR: 0.000800
Training Epoch: 38 [8192/47500]	Loss: 0.1161	LR: 0.000800
Training Epoch: 38 [8448/47500]	Loss: 0.0891	LR: 0.000800
Training Epoch: 38 [8704/47500]	Loss: 0.1038	LR: 0.000800
Training Epoch: 38 [8960/47500]	Loss: 0.1206	LR: 0.000800
Training Epoch: 38 [9216/47500]	Loss: 0.0823	LR: 0.000800
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Training Epoch: 38 [9728/47500]	Loss: 0.0820	LR: 0.000800
Training Epoch: 38 [9984/47500]	Loss: 0.1281	LR: 0.000800
Training Epoch: 38 [10240/47500]	Loss: 0.0819	LR: 0.000800
Training Epoch: 38 [10496/47500]	Loss: 0.0979	LR: 0.000800
Training Epoch: 38 [10752/47500]	Loss: 0.1232	LR: 0.000800
Training Epoch: 38 [11008/47500]	Loss: 0.0909	LR: 0.000800
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Training Epoch: 38 [11520/47500]	Loss: 0.0985	LR: 0.000800
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Training Epoch: 38 [12288/47500]	Loss: 0.1396	LR: 0.000800
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Training Epoch: 38 [16384/47500]	Loss: 0.0874	LR: 0.000800
Training Epoch: 38 [16640/47500]	Loss: 0.0959	LR: 0.000800
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Training Epoch: 38 [17152/47500]	Loss: 0.1151	LR: 0.000800
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Training Epoch: 38 [18688/47500]	Loss: 0.1719	LR: 0.000800
Training Epoch: 38 [18944/47500]	Loss: 0.1451	LR: 0.000800
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Training Epoch: 38 [26368/47500]	Loss: 0.1296	LR: 0.000800
Training Epoch: 38 [26624/47500]	Loss: 0.0963	LR: 0.000800
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Training Epoch: 38 [36864/47500]	Loss: 0.1038	LR: 0.000800
Training Epoch: 38 [37120/47500]	Loss: 0.1015	LR: 0.000800
Training Epoch: 38 [37376/47500]	Loss: 0.1131	LR: 0.000800
Training Epoch: 38 [37632/47500]	Loss: 0.1084	LR: 0.000800
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Training Epoch: 38 [40192/47500]	Loss: 0.0819	LR: 0.000800
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Training Epoch: 38 [42496/47500]	Loss: 0.1317	LR: 0.000800
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Training Epoch: 38 [43264/47500]	Loss: 0.1109	LR: 0.000800
Training Epoch: 38 [43520/47500]	Loss: 0.0836	LR: 0.000800
Training Epoch: 38 [43776/47500]	Loss: 0.1458	LR: 0.000800
Training Epoch: 38 [44032/47500]	Loss: 0.1079	LR: 0.000800
Training Epoch: 38 [44288/47500]	Loss: 0.0497	LR: 0.000800
Training Epoch: 38 [44544/47500]	Loss: 0.1169	LR: 0.000800
Training Epoch: 38 [44800/47500]	Loss: 0.1072	LR: 0.000800
Training Epoch: 38 [45056/47500]	Loss: 0.0897	LR: 0.000800
Training Epoch: 38 [45312/47500]	Loss: 0.1300	LR: 0.000800
Training Epoch: 38 [45568/47500]	Loss: 0.1177	LR: 0.000800
Training Epoch: 38 [45824/47500]	Loss: 0.1351	LR: 0.000800
Training Epoch: 38 [46080/47500]	Loss: 0.0887	LR: 0.000800
Training Epoch: 38 [46336/47500]	Loss: 0.1313	LR: 0.000800
Training Epoch: 38 [46592/47500]	Loss: 0.1061	LR: 0.000800
Training Epoch: 38 [46848/47500]	Loss: 0.1054	LR: 0.000800
Training Epoch: 38 [47104/47500]	Loss: 0.0509	LR: 0.000800
Training Epoch: 38 [47360/47500]	Loss: 0.1595	LR: 0.000800
Training Epoch: 38 [47500/47500]	Loss: 0.1674	LR: 0.000800
Epoch 38 - Average Train Loss: 0.1067, Train Accuracy: 0.9707
Epoch 38 training time consumed: 28.36s
Evaluating Network.....
Test set: Epoch: 38, Average loss: 0.0028, Accuracy: 0.8088, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_22h_22m_08s/ResNet18-Cifar20-seed9-ret50-38-best.pth
Training Epoch: 39 [256/47500]	Loss: 0.1015	LR: 0.000800
Training Epoch: 39 [512/47500]	Loss: 0.1082	LR: 0.000800
Training Epoch: 39 [768/47500]	Loss: 0.1015	LR: 0.000800
Training Epoch: 39 [1024/47500]	Loss: 0.0835	LR: 0.000800
Training Epoch: 39 [1280/47500]	Loss: 0.0717	LR: 0.000800
Training Epoch: 39 [1536/47500]	Loss: 0.1080	LR: 0.000800
Training Epoch: 39 [1792/47500]	Loss: 0.0819	LR: 0.000800
Training Epoch: 39 [2048/47500]	Loss: 0.1209	LR: 0.000800
Training Epoch: 39 [2304/47500]	Loss: 0.1029	LR: 0.000800
Training Epoch: 39 [2560/47500]	Loss: 0.1256	LR: 0.000800
Training Epoch: 39 [2816/47500]	Loss: 0.1289	LR: 0.000800
Training Epoch: 39 [3072/47500]	Loss: 0.1227	LR: 0.000800
Training Epoch: 39 [3328/47500]	Loss: 0.0843	LR: 0.000800
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Training Epoch: 39 [5632/47500]	Loss: 0.1071	LR: 0.000800
Training Epoch: 39 [5888/47500]	Loss: 0.1069	LR: 0.000800
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Training Epoch: 39 [8448/47500]	Loss: 0.1489	LR: 0.000800
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Training Epoch: 39 [10496/47500]	Loss: 0.1411	LR: 0.000800
Training Epoch: 39 [10752/47500]	Loss: 0.1044	LR: 0.000800
Training Epoch: 39 [11008/47500]	Loss: 0.0887	LR: 0.000800
Training Epoch: 39 [11264/47500]	Loss: 0.0830	LR: 0.000800
Training Epoch: 39 [11520/47500]	Loss: 0.1121	LR: 0.000800
Training Epoch: 39 [11776/47500]	Loss: 0.0901	LR: 0.000800
Training Epoch: 39 [12032/47500]	Loss: 0.0941	LR: 0.000800
Training Epoch: 39 [12288/47500]	Loss: 0.0914	LR: 0.000800
Training Epoch: 39 [12544/47500]	Loss: 0.0907	LR: 0.000800
Training Epoch: 39 [12800/47500]	Loss: 0.1143	LR: 0.000800
Training Epoch: 39 [13056/47500]	Loss: 0.0988	LR: 0.000800
Training Epoch: 39 [13312/47500]	Loss: 0.1064	LR: 0.000800
Training Epoch: 39 [13568/47500]	Loss: 0.1117	LR: 0.000800
Training Epoch: 39 [13824/47500]	Loss: 0.1280	LR: 0.000800
Training Epoch: 39 [14080/47500]	Loss: 0.1259	LR: 0.000800
Training Epoch: 39 [14336/47500]	Loss: 0.1060	LR: 0.000800
Training Epoch: 39 [14592/47500]	Loss: 0.1413	LR: 0.000800
Training Epoch: 39 [14848/47500]	Loss: 0.0927	LR: 0.000800
Training Epoch: 39 [15104/47500]	Loss: 0.1091	LR: 0.000800
Training Epoch: 39 [15360/47500]	Loss: 0.0909	LR: 0.000800
Training Epoch: 39 [15616/47500]	Loss: 0.1032	LR: 0.000800
Training Epoch: 39 [15872/47500]	Loss: 0.1004	LR: 0.000800
Training Epoch: 39 [16128/47500]	Loss: 0.0706	LR: 0.000800
Training Epoch: 39 [16384/47500]	Loss: 0.0985	LR: 0.000800
Training Epoch: 39 [16640/47500]	Loss: 0.1000	LR: 0.000800
Training Epoch: 39 [16896/47500]	Loss: 0.1071	LR: 0.000800
Training Epoch: 39 [17152/47500]	Loss: 0.1393	LR: 0.000800
Training Epoch: 39 [17408/47500]	Loss: 0.0937	LR: 0.000800
Training Epoch: 39 [17664/47500]	Loss: 0.0812	LR: 0.000800
Training Epoch: 39 [17920/47500]	Loss: 0.0852	LR: 0.000800
Training Epoch: 39 [18176/47500]	Loss: 0.1115	LR: 0.000800
Training Epoch: 39 [18432/47500]	Loss: 0.0837	LR: 0.000800
Training Epoch: 39 [18688/47500]	Loss: 0.1027	LR: 0.000800
Training Epoch: 39 [18944/47500]	Loss: 0.1433	LR: 0.000800
Training Epoch: 39 [19200/47500]	Loss: 0.0889	LR: 0.000800
Training Epoch: 39 [19456/47500]	Loss: 0.1277	LR: 0.000800
Training Epoch: 39 [19712/47500]	Loss: 0.1018	LR: 0.000800
Training Epoch: 39 [19968/47500]	Loss: 0.1182	LR: 0.000800
Training Epoch: 39 [20224/47500]	Loss: 0.1101	LR: 0.000800
Training Epoch: 39 [20480/47500]	Loss: 0.1285	LR: 0.000800
Training Epoch: 39 [20736/47500]	Loss: 0.1039	LR: 0.000800
Training Epoch: 39 [20992/47500]	Loss: 0.0756	LR: 0.000800
Training Epoch: 39 [21248/47500]	Loss: 0.1231	LR: 0.000800
Training Epoch: 39 [21504/47500]	Loss: 0.1249	LR: 0.000800
Training Epoch: 39 [21760/47500]	Loss: 0.1018	LR: 0.000800
Training Epoch: 39 [22016/47500]	Loss: 0.0885	LR: 0.000800
Training Epoch: 39 [22272/47500]	Loss: 0.1803	LR: 0.000800
Training Epoch: 39 [22528/47500]	Loss: 0.0973	LR: 0.000800
Training Epoch: 39 [22784/47500]	Loss: 0.1216	LR: 0.000800
Training Epoch: 39 [23040/47500]	Loss: 0.0997	LR: 0.000800
Training Epoch: 39 [23296/47500]	Loss: 0.1190	LR: 0.000800
Training Epoch: 39 [23552/47500]	Loss: 0.1082	LR: 0.000800
Training Epoch: 39 [23808/47500]	Loss: 0.0882	LR: 0.000800
Training Epoch: 39 [24064/47500]	Loss: 0.1128	LR: 0.000800
Training Epoch: 39 [24320/47500]	Loss: 0.1028	LR: 0.000800
Training Epoch: 39 [24576/47500]	Loss: 0.1044	LR: 0.000800
Training Epoch: 39 [24832/47500]	Loss: 0.1163	LR: 0.000800
Training Epoch: 39 [25088/47500]	Loss: 0.1166	LR: 0.000800
Training Epoch: 39 [25344/47500]	Loss: 0.1025	LR: 0.000800
Training Epoch: 39 [25600/47500]	Loss: 0.1013	LR: 0.000800
Training Epoch: 39 [25856/47500]	Loss: 0.0796	LR: 0.000800
Training Epoch: 39 [26112/47500]	Loss: 0.1036	LR: 0.000800
Training Epoch: 39 [26368/47500]	Loss: 0.1239	LR: 0.000800
Training Epoch: 39 [26624/47500]	Loss: 0.0791	LR: 0.000800
Training Epoch: 39 [26880/47500]	Loss: 0.0789	LR: 0.000800
Training Epoch: 39 [27136/47500]	Loss: 0.0957	LR: 0.000800
Training Epoch: 39 [27392/47500]	Loss: 0.0940	LR: 0.000800
Training Epoch: 39 [27648/47500]	Loss: 0.1000	LR: 0.000800
Training Epoch: 39 [27904/47500]	Loss: 0.0900	LR: 0.000800
Training Epoch: 39 [28160/47500]	Loss: 0.0905	LR: 0.000800
Training Epoch: 39 [28416/47500]	Loss: 0.1192	LR: 0.000800
Training Epoch: 39 [28672/47500]	Loss: 0.1101	LR: 0.000800
Training Epoch: 39 [28928/47500]	Loss: 0.1193	LR: 0.000800
Training Epoch: 39 [29184/47500]	Loss: 0.0877	LR: 0.000800
Training Epoch: 39 [29440/47500]	Loss: 0.0744	LR: 0.000800
Training Epoch: 39 [29696/47500]	Loss: 0.0901	LR: 0.000800
Training Epoch: 39 [29952/47500]	Loss: 0.1054	LR: 0.000800
Training Epoch: 39 [30208/47500]	Loss: 0.1148	LR: 0.000800
Training Epoch: 39 [30464/47500]	Loss: 0.1314	LR: 0.000800
Training Epoch: 39 [30720/47500]	Loss: 0.1035	LR: 0.000800
Training Epoch: 39 [30976/47500]	Loss: 0.0848	LR: 0.000800
Training Epoch: 39 [31232/47500]	Loss: 0.1019	LR: 0.000800
Training Epoch: 39 [31488/47500]	Loss: 0.1098	LR: 0.000800
Training Epoch: 39 [31744/47500]	Loss: 0.0846	LR: 0.000800
Training Epoch: 39 [32000/47500]	Loss: 0.0889	LR: 0.000800
Training Epoch: 39 [32256/47500]	Loss: 0.1053	LR: 0.000800
Training Epoch: 39 [32512/47500]	Loss: 0.1437	LR: 0.000800
Training Epoch: 39 [32768/47500]	Loss: 0.0979	LR: 0.000800
Training Epoch: 39 [33024/47500]	Loss: 0.1596	LR: 0.000800
Training Epoch: 39 [33280/47500]	Loss: 0.0905	LR: 0.000800
Training Epoch: 39 [33536/47500]	Loss: 0.1091	LR: 0.000800
Training Epoch: 39 [33792/47500]	Loss: 0.1124	LR: 0.000800
Training Epoch: 39 [34048/47500]	Loss: 0.1237	LR: 0.000800
Training Epoch: 39 [34304/47500]	Loss: 0.0796	LR: 0.000800
Training Epoch: 39 [34560/47500]	Loss: 0.0742	LR: 0.000800
Training Epoch: 39 [34816/47500]	Loss: 0.1127	LR: 0.000800
Training Epoch: 39 [35072/47500]	Loss: 0.1102	LR: 0.000800
Training Epoch: 39 [35328/47500]	Loss: 0.1120	LR: 0.000800
Training Epoch: 39 [35584/47500]	Loss: 0.1194	LR: 0.000800
Training Epoch: 39 [35840/47500]	Loss: 0.1097	LR: 0.000800
Training Epoch: 39 [36096/47500]	Loss: 0.0932	LR: 0.000800
Training Epoch: 39 [36352/47500]	Loss: 0.1306	LR: 0.000800
Training Epoch: 39 [36608/47500]	Loss: 0.1088	LR: 0.000800
Training Epoch: 39 [36864/47500]	Loss: 0.0759	LR: 0.000800
Training Epoch: 39 [37120/47500]	Loss: 0.1126	LR: 0.000800
Training Epoch: 39 [37376/47500]	Loss: 0.0967	LR: 0.000800
Training Epoch: 39 [37632/47500]	Loss: 0.1152	LR: 0.000800
Training Epoch: 39 [37888/47500]	Loss: 0.0793	LR: 0.000800
Training Epoch: 39 [38144/47500]	Loss: 0.0923	LR: 0.000800
Training Epoch: 39 [38400/47500]	Loss: 0.1018	LR: 0.000800
Training Epoch: 39 [38656/47500]	Loss: 0.0999	LR: 0.000800
Training Epoch: 39 [38912/47500]	Loss: 0.0979	LR: 0.000800
Training Epoch: 39 [39168/47500]	Loss: 0.1202	LR: 0.000800
Training Epoch: 39 [39424/47500]	Loss: 0.1133	LR: 0.000800
Training Epoch: 39 [39680/47500]	Loss: 0.0996	LR: 0.000800
Training Epoch: 39 [39936/47500]	Loss: 0.1275	LR: 0.000800
Training Epoch: 39 [40192/47500]	Loss: 0.1163	LR: 0.000800
Training Epoch: 39 [40448/47500]	Loss: 0.0986	LR: 0.000800
Training Epoch: 39 [40704/47500]	Loss: 0.0994	LR: 0.000800
Training Epoch: 39 [40960/47500]	Loss: 0.1228	LR: 0.000800
Training Epoch: 39 [41216/47500]	Loss: 0.0965	LR: 0.000800
Training Epoch: 39 [41472/47500]	Loss: 0.0913	LR: 0.000800
Training Epoch: 39 [41728/47500]	Loss: 0.1034	LR: 0.000800
Training Epoch: 39 [41984/47500]	Loss: 0.1104	LR: 0.000800
Training Epoch: 39 [42240/47500]	Loss: 0.1208	LR: 0.000800
Training Epoch: 39 [42496/47500]	Loss: 0.1268	LR: 0.000800
Training Epoch: 39 [42752/47500]	Loss: 0.1039	LR: 0.000800
Training Epoch: 39 [43008/47500]	Loss: 0.0874	LR: 0.000800
Training Epoch: 39 [43264/47500]	Loss: 0.0913	LR: 0.000800
Training Epoch: 39 [43520/47500]	Loss: 0.1049	LR: 0.000800
Training Epoch: 39 [43776/47500]	Loss: 0.1013	LR: 0.000800
Training Epoch: 39 [44032/47500]	Loss: 0.0709	LR: 0.000800
Training Epoch: 39 [44288/47500]	Loss: 0.0855	LR: 0.000800
Training Epoch: 39 [44544/47500]	Loss: 0.1152	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: 0.1179	LR: 0.000800
Training Epoch: 39 [45568/47500]	Loss: 0.1110	LR: 0.000800
Training Epoch: 39 [45824/47500]	Loss: 0.0834	LR: 0.000800
Training Epoch: 39 [46080/47500]	Loss: 0.1066	LR: 0.000800
Training Epoch: 39 [46336/47500]	Loss: 0.0834	LR: 0.000800
Training Epoch: 39 [46592/47500]	Loss: 0.0987	LR: 0.000800
Training Epoch: 39 [46848/47500]	Loss: 0.0971	LR: 0.000800
Training Epoch: 39 [47104/47500]	Loss: 0.0949	LR: 0.000800
Training Epoch: 39 [47360/47500]	Loss: 0.0802	LR: 0.000800
Training Epoch: 39 [47500/47500]	Loss: 0.1046	LR: 0.000800
Epoch 39 - Average Train Loss: 0.1042, Train Accuracy: 0.9697
Epoch 39 training time consumed: 28.53s
Evaluating Network.....
Test set: Epoch: 39, Average loss: 0.0028, Accuracy: 0.8085, Time consumed:0.94s
Training Epoch: 40 [256/47500]	Loss: 0.1031	LR: 0.000800
Training Epoch: 40 [512/47500]	Loss: 0.0848	LR: 0.000800
Training Epoch: 40 [768/47500]	Loss: 0.0893	LR: 0.000800
Training Epoch: 40 [1024/47500]	Loss: 0.1044	LR: 0.000800
Training Epoch: 40 [1280/47500]	Loss: 0.1092	LR: 0.000800
Training Epoch: 40 [1536/47500]	Loss: 0.1089	LR: 0.000800
Training Epoch: 40 [1792/47500]	Loss: 0.1087	LR: 0.000800
Training Epoch: 40 [2048/47500]	Loss: 0.1234	LR: 0.000800
Training Epoch: 40 [2304/47500]	Loss: 0.1109	LR: 0.000800
Training Epoch: 40 [2560/47500]	Loss: 0.0882	LR: 0.000800
Training Epoch: 40 [2816/47500]	Loss: 0.0988	LR: 0.000800
Training Epoch: 40 [3072/47500]	Loss: 0.1268	LR: 0.000800
Training Epoch: 40 [3328/47500]	Loss: 0.1039	LR: 0.000800
Training Epoch: 40 [3584/47500]	Loss: 0.0907	LR: 0.000800
Training Epoch: 40 [3840/47500]	Loss: 0.0714	LR: 0.000800
Training Epoch: 40 [4096/47500]	Loss: 0.0857	LR: 0.000800
Training Epoch: 40 [4352/47500]	Loss: 0.0821	LR: 0.000800
Training Epoch: 40 [4608/47500]	Loss: 0.1583	LR: 0.000800
Training Epoch: 40 [4864/47500]	Loss: 0.0961	LR: 0.000800
Training Epoch: 40 [5120/47500]	Loss: 0.1344	LR: 0.000800
Training Epoch: 40 [5376/47500]	Loss: 0.0737	LR: 0.000800
Training Epoch: 40 [5632/47500]	Loss: 0.1210	LR: 0.000800
Training Epoch: 40 [5888/47500]	Loss: 0.0827	LR: 0.000800
Training Epoch: 40 [6144/47500]	Loss: 0.1201	LR: 0.000800
Training Epoch: 40 [6400/47500]	Loss: 0.1433	LR: 0.000800
Training Epoch: 40 [6656/47500]	Loss: 0.1218	LR: 0.000800
Training Epoch: 40 [6912/47500]	Loss: 0.1163	LR: 0.000800
Training Epoch: 40 [7168/47500]	Loss: 0.0779	LR: 0.000800
Training Epoch: 40 [7424/47500]	Loss: 0.1214	LR: 0.000800
Training Epoch: 40 [7680/47500]	Loss: 0.0862	LR: 0.000800
Training Epoch: 40 [7936/47500]	Loss: 0.0957	LR: 0.000800
Training Epoch: 40 [8192/47500]	Loss: 0.1119	LR: 0.000800
Training Epoch: 40 [8448/47500]	Loss: 0.0847	LR: 0.000800
Training Epoch: 40 [8704/47500]	Loss: 0.1080	LR: 0.000800
Training Epoch: 40 [8960/47500]	Loss: 0.1188	LR: 0.000800
Training Epoch: 40 [9216/47500]	Loss: 0.0877	LR: 0.000800
Training Epoch: 40 [9472/47500]	Loss: 0.1230	LR: 0.000800
Training Epoch: 40 [9728/47500]	Loss: 0.1107	LR: 0.000800
Training Epoch: 40 [9984/47500]	Loss: 0.0847	LR: 0.000800
Training Epoch: 40 [10240/47500]	Loss: 0.1150	LR: 0.000800
Training Epoch: 40 [10496/47500]	Loss: 0.1056	LR: 0.000800
Training Epoch: 40 [10752/47500]	Loss: 0.0700	LR: 0.000800
Training Epoch: 40 [11008/47500]	Loss: 0.0907	LR: 0.000800
Training Epoch: 40 [11264/47500]	Loss: 0.1270	LR: 0.000800
Training Epoch: 40 [11520/47500]	Loss: 0.1189	LR: 0.000800
Training Epoch: 40 [11776/47500]	Loss: 0.0764	LR: 0.000800
Training Epoch: 40 [12032/47500]	Loss: 0.1071	LR: 0.000800
Training Epoch: 40 [12288/47500]	Loss: 0.0913	LR: 0.000800
Training Epoch: 40 [12544/47500]	Loss: 0.1194	LR: 0.000800
Training Epoch: 40 [12800/47500]	Loss: 0.1000	LR: 0.000800
Training Epoch: 40 [13056/47500]	Loss: 0.1158	LR: 0.000800
Training Epoch: 40 [13312/47500]	Loss: 0.1245	LR: 0.000800
Training Epoch: 40 [13568/47500]	Loss: 0.0793	LR: 0.000800
Training Epoch: 40 [13824/47500]	Loss: 0.0836	LR: 0.000800
Training Epoch: 40 [14080/47500]	Loss: 0.0895	LR: 0.000800
Training Epoch: 40 [14336/47500]	Loss: 0.1329	LR: 0.000800
Training Epoch: 40 [14592/47500]	Loss: 0.1078	LR: 0.000800
Training Epoch: 40 [14848/47500]	Loss: 0.0968	LR: 0.000800
Training Epoch: 40 [15104/47500]	Loss: 0.0762	LR: 0.000800
Training Epoch: 40 [15360/47500]	Loss: 0.0822	LR: 0.000800
Training Epoch: 40 [15616/47500]	Loss: 0.0819	LR: 0.000800
Training Epoch: 40 [15872/47500]	Loss: 0.1120	LR: 0.000800
Training Epoch: 40 [16128/47500]	Loss: 0.0849	LR: 0.000800
Training Epoch: 40 [16384/47500]	Loss: 0.1170	LR: 0.000800
Training Epoch: 40 [16640/47500]	Loss: 0.1351	LR: 0.000800
Training Epoch: 40 [16896/47500]	Loss: 0.0733	LR: 0.000800
Training Epoch: 40 [17152/47500]	Loss: 0.1287	LR: 0.000800
Training Epoch: 40 [17408/47500]	Loss: 0.1136	LR: 0.000800
Training Epoch: 40 [17664/47500]	Loss: 0.0846	LR: 0.000800
Training Epoch: 40 [17920/47500]	Loss: 0.1604	LR: 0.000800
Training Epoch: 40 [18176/47500]	Loss: 0.1022	LR: 0.000800
Training Epoch: 40 [18432/47500]	Loss: 0.1036	LR: 0.000800
Training Epoch: 40 [18688/47500]	Loss: 0.0760	LR: 0.000800
Training Epoch: 40 [18944/47500]	Loss: 0.0787	LR: 0.000800
Training Epoch: 40 [19200/47500]	Loss: 0.1099	LR: 0.000800
Training Epoch: 40 [19456/47500]	Loss: 0.1036	LR: 0.000800
Training Epoch: 40 [19712/47500]	Loss: 0.0784	LR: 0.000800
Training Epoch: 40 [19968/47500]	Loss: 0.0922	LR: 0.000800
Training Epoch: 40 [20224/47500]	Loss: 0.1135	LR: 0.000800
Training Epoch: 40 [20480/47500]	Loss: 0.1242	LR: 0.000800
Training Epoch: 40 [20736/47500]	Loss: 0.1027	LR: 0.000800
Training Epoch: 40 [20992/47500]	Loss: 0.0730	LR: 0.000800
Training Epoch: 40 [21248/47500]	Loss: 0.0681	LR: 0.000800
Training Epoch: 40 [21504/47500]	Loss: 0.1022	LR: 0.000800
Training Epoch: 40 [21760/47500]	Loss: 0.0944	LR: 0.000800
Training Epoch: 40 [22016/47500]	Loss: 0.0718	LR: 0.000800
Training Epoch: 40 [22272/47500]	Loss: 0.1317	LR: 0.000800
Training Epoch: 40 [22528/47500]	Loss: 0.1098	LR: 0.000800
Training Epoch: 40 [22784/47500]	Loss: 0.0966	LR: 0.000800
Training Epoch: 40 [23040/47500]	Loss: 0.1075	LR: 0.000800
Training Epoch: 40 [23296/47500]	Loss: 0.0957	LR: 0.000800
Training Epoch: 40 [23552/47500]	Loss: 0.1332	LR: 0.000800
Training Epoch: 40 [23808/47500]	Loss: 0.1236	LR: 0.000800
Training Epoch: 40 [24064/47500]	Loss: 0.1110	LR: 0.000800
Training Epoch: 40 [24320/47500]	Loss: 0.0946	LR: 0.000800
Training Epoch: 40 [24576/47500]	Loss: 0.1094	LR: 0.000800
Training Epoch: 40 [24832/47500]	Loss: 0.0906	LR: 0.000800
Training Epoch: 40 [25088/47500]	Loss: 0.0780	LR: 0.000800
Training Epoch: 40 [25344/47500]	Loss: 0.1040	LR: 0.000800
Training Epoch: 40 [25600/47500]	Loss: 0.0576	LR: 0.000800
Training Epoch: 40 [25856/47500]	Loss: 0.0912	LR: 0.000800
Training Epoch: 40 [26112/47500]	Loss: 0.1200	LR: 0.000800
Training Epoch: 40 [26368/47500]	Loss: 0.0726	LR: 0.000800
Training Epoch: 40 [26624/47500]	Loss: 0.0919	LR: 0.000800
Training Epoch: 40 [26880/47500]	Loss: 0.1116	LR: 0.000800
Training Epoch: 40 [27136/47500]	Loss: 0.1430	LR: 0.000800
Training Epoch: 40 [27392/47500]	Loss: 0.0849	LR: 0.000800
Training Epoch: 40 [27648/47500]	Loss: 0.0916	LR: 0.000800
Training Epoch: 40 [27904/47500]	Loss: 0.1040	LR: 0.000800
Training Epoch: 40 [28160/47500]	Loss: 0.1789	LR: 0.000800
Training Epoch: 40 [28416/47500]	Loss: 0.0840	LR: 0.000800
Training Epoch: 40 [28672/47500]	Loss: 0.0632	LR: 0.000800
Training Epoch: 40 [28928/47500]	Loss: 0.1250	LR: 0.000800
Training Epoch: 40 [29184/47500]	Loss: 0.0784	LR: 0.000800
Training Epoch: 40 [29440/47500]	Loss: 0.1535	LR: 0.000800
Training Epoch: 40 [29696/47500]	Loss: 0.1266	LR: 0.000800
Training Epoch: 40 [29952/47500]	Loss: 0.1013	LR: 0.000800
Training Epoch: 40 [30208/47500]	Loss: 0.1190	LR: 0.000800
Training Epoch: 40 [30464/47500]	Loss: 0.1211	LR: 0.000800
Training Epoch: 40 [30720/47500]	Loss: 0.0653	LR: 0.000800
Training Epoch: 40 [30976/47500]	Loss: 0.0786	LR: 0.000800
Training Epoch: 40 [31232/47500]	Loss: 0.1081	LR: 0.000800
Training Epoch: 40 [31488/47500]	Loss: 0.1508	LR: 0.000800
Training Epoch: 40 [31744/47500]	Loss: 0.1034	LR: 0.000800
Training Epoch: 40 [32000/47500]	Loss: 0.0985	LR: 0.000800
Training Epoch: 40 [32256/47500]	Loss: 0.1092	LR: 0.000800
Training Epoch: 40 [32512/47500]	Loss: 0.0732	LR: 0.000800
Training Epoch: 40 [32768/47500]	Loss: 0.0799	LR: 0.000800
Training Epoch: 40 [33024/47500]	Loss: 0.0789	LR: 0.000800
Training Epoch: 40 [33280/47500]	Loss: 0.0914	LR: 0.000800
Training Epoch: 40 [33536/47500]	Loss: 0.0956	LR: 0.000800
Training Epoch: 40 [33792/47500]	Loss: 0.1073	LR: 0.000800
Training Epoch: 40 [34048/47500]	Loss: 0.1054	LR: 0.000800
Training Epoch: 40 [34304/47500]	Loss: 0.1188	LR: 0.000800
Training Epoch: 40 [34560/47500]	Loss: 0.0941	LR: 0.000800
Training Epoch: 40 [34816/47500]	Loss: 0.0988	LR: 0.000800
Training Epoch: 40 [35072/47500]	Loss: 0.0740	LR: 0.000800
Training Epoch: 40 [35328/47500]	Loss: 0.0956	LR: 0.000800
Training Epoch: 40 [35584/47500]	Loss: 0.1168	LR: 0.000800
Training Epoch: 40 [35840/47500]	Loss: 0.0721	LR: 0.000800
Training Epoch: 40 [36096/47500]	Loss: 0.1382	LR: 0.000800
Training Epoch: 40 [36352/47500]	Loss: 0.0981	LR: 0.000800
Training Epoch: 40 [36608/47500]	Loss: 0.1197	LR: 0.000800
Training Epoch: 40 [36864/47500]	Loss: 0.0954	LR: 0.000800
Training Epoch: 40 [37120/47500]	Loss: 0.1172	LR: 0.000800
Training Epoch: 40 [37376/47500]	Loss: 0.1112	LR: 0.000800
Training Epoch: 40 [37632/47500]	Loss: 0.1383	LR: 0.000800
Training Epoch: 40 [37888/47500]	Loss: 0.0890	LR: 0.000800
Training Epoch: 40 [38144/47500]	Loss: 0.1159	LR: 0.000800
Training Epoch: 40 [38400/47500]	Loss: 0.1436	LR: 0.000800
Training Epoch: 40 [38656/47500]	Loss: 0.1101	LR: 0.000800
Training Epoch: 40 [38912/47500]	Loss: 0.0894	LR: 0.000800
Training Epoch: 40 [39168/47500]	Loss: 0.0927	LR: 0.000800
Training Epoch: 40 [39424/47500]	Loss: 0.1126	LR: 0.000800
Training Epoch: 40 [39680/47500]	Loss: 0.0757	LR: 0.000800
Training Epoch: 40 [39936/47500]	Loss: 0.1025	LR: 0.000800
Training Epoch: 40 [40192/47500]	Loss: 0.0978	LR: 0.000800
Training Epoch: 40 [40448/47500]	Loss: 0.0925	LR: 0.000800
Training Epoch: 40 [40704/47500]	Loss: 0.0749	LR: 0.000800
Training Epoch: 40 [40960/47500]	Loss: 0.1182	LR: 0.000800
Training Epoch: 40 [41216/47500]	Loss: 0.0652	LR: 0.000800
Training Epoch: 40 [41472/47500]	Loss: 0.0745	LR: 0.000800
Training Epoch: 40 [41728/47500]	Loss: 0.0765	LR: 0.000800
Training Epoch: 40 [41984/47500]	Loss: 0.0971	LR: 0.000800
Training Epoch: 40 [42240/47500]	Loss: 0.0784	LR: 0.000800
Training Epoch: 40 [42496/47500]	Loss: 0.0910	LR: 0.000800
Training Epoch: 40 [42752/47500]	Loss: 0.1032	LR: 0.000800
Training Epoch: 40 [43008/47500]	Loss: 0.1241	LR: 0.000800
Training Epoch: 40 [43264/47500]	Loss: 0.1031	LR: 0.000800
Training Epoch: 40 [43520/47500]	Loss: 0.1016	LR: 0.000800
Training Epoch: 40 [43776/47500]	Loss: 0.1254	LR: 0.000800
Training Epoch: 40 [44032/47500]	Loss: 0.0939	LR: 0.000800
Training Epoch: 40 [44288/47500]	Loss: 0.0941	LR: 0.000800
Training Epoch: 40 [44544/47500]	Loss: 0.1014	LR: 0.000800
Training Epoch: 40 [44800/47500]	Loss: 0.0676	LR: 0.000800
Training Epoch: 40 [45056/47500]	Loss: 0.0985	LR: 0.000800
Training Epoch: 40 [45312/47500]	Loss: 0.0910	LR: 0.000800
Training Epoch: 40 [45568/47500]	Loss: 0.1579	LR: 0.000800
Training Epoch: 40 [45824/47500]	Loss: 0.0840	LR: 0.000800
Training Epoch: 40 [46080/47500]	Loss: 0.1029	LR: 0.000800
Training Epoch: 40 [46336/47500]	Loss: 0.0802	LR: 0.000800
Training Epoch: 40 [46592/47500]	Loss: 0.1042	LR: 0.000800
Training Epoch: 40 [46848/47500]	Loss: 0.1235	LR: 0.000800
Training Epoch: 40 [47104/47500]	Loss: 0.0992	LR: 0.000800
Training Epoch: 40 [47360/47500]	Loss: 0.1109	LR: 0.000800
Training Epoch: 40 [47500/47500]	Loss: 0.1909	LR: 0.000800
Epoch 40 - Average Train Loss: 0.1023, Train Accuracy: 0.9709
Epoch 40 training time consumed: 28.29s
Evaluating Network.....
Test set: Epoch: 40, Average loss: 0.0028, Accuracy: 0.8069, Time consumed:0.91s
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: 80.849609375
Retain Accuracy: 97.53276062011719
Zero-Retain Forget (ZRF): 0.900631308555603
Membership Inference Attack (MIA): 0.5876
Forget vs Retain Membership Inference Attack (MIA): 0.587
Forget vs Test Membership Inference Attack (MIA): 0.542
Test vs Retain Membership Inference Attack (MIA): 0.572
Train vs Test Membership Inference Attack (MIA): 0.599
Forget Set Accuracy (Df): 79.64445495605469
Method Execution Time: 2122.86 seconds
