
Retain class distribution for seed 7:
Class 0: 4500
Class 1: 4500
Class 2: 4500
Class 3: 4500
Class 4: 4500
Class 5: 4500
Class 6: 4500
Class 7: 4500
Class 8: 4500
Class 9: 4500

Forget class distribution for seed 7:
Class 0: 500
Class 1: 500
Class 2: 500
Class 3: 500
Class 4: 500
Class 5: 500
Class 6: 500
Class 7: 500
Class 8: 500
Class 9: 500

Updated class distribution:
Retain set:
  Class 0: 4750
  Class 1: 4750
  Class 2: 4750
  Class 3: 4750
  Class 4: 4750
  Class 5: 4750
  Class 6: 4750
  Class 7: 4750
  Class 8: 4750
  Class 9: 4750
Forget set:
  Class 0: 250
  Class 1: 250
  Class 2: 250
  Class 3: 250
  Class 4: 250
  Class 5: 250
  Class 6: 250
  Class 7: 250
  Class 8: 250
  Class 9: 250
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/47500]	Loss: 2.4807	LR: 0.000000
Training Epoch: 1 [512/47500]	Loss: 2.3754	LR: 0.000538
Training Epoch: 1 [768/47500]	Loss: 2.4395	LR: 0.001075
Training Epoch: 1 [1024/47500]	Loss: 2.4085	LR: 0.001613
Training Epoch: 1 [1280/47500]	Loss: 2.3474	LR: 0.002151
Training Epoch: 1 [1536/47500]	Loss: 2.2802	LR: 0.002688
Training Epoch: 1 [1792/47500]	Loss: 2.2472	LR: 0.003226
Training Epoch: 1 [2048/47500]	Loss: 2.2446	LR: 0.003763
Training Epoch: 1 [2304/47500]	Loss: 2.2929	LR: 0.004301
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Training Epoch: 1 [2816/47500]	Loss: 2.2879	LR: 0.005376
Training Epoch: 1 [3072/47500]	Loss: 2.2966	LR: 0.005914
Training Epoch: 1 [3328/47500]	Loss: 2.1717	LR: 0.006452
Training Epoch: 1 [3584/47500]	Loss: 2.1193	LR: 0.006989
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Training Epoch: 1 [9472/47500]	Loss: 1.7319	LR: 0.019355
Training Epoch: 1 [9728/47500]	Loss: 1.6529	LR: 0.019892
Training Epoch: 1 [9984/47500]	Loss: 1.8102	LR: 0.020430
Training Epoch: 1 [10240/47500]	Loss: 1.6943	LR: 0.020968
Training Epoch: 1 [10496/47500]	Loss: 1.8137	LR: 0.021505
Training Epoch: 1 [10752/47500]	Loss: 1.7274	LR: 0.022043
Training Epoch: 1 [11008/47500]	Loss: 1.6831	LR: 0.022581
Training Epoch: 1 [11264/47500]	Loss: 1.9126	LR: 0.023118
Training Epoch: 1 [11520/47500]	Loss: 1.8045	LR: 0.023656
Training Epoch: 1 [11776/47500]	Loss: 1.9072	LR: 0.024194
Training Epoch: 1 [12032/47500]	Loss: 1.7890	LR: 0.024731
Training Epoch: 1 [12288/47500]	Loss: 1.7640	LR: 0.025269
Training Epoch: 1 [12544/47500]	Loss: 1.8651	LR: 0.025806
Training Epoch: 1 [12800/47500]	Loss: 1.8168	LR: 0.026344
Training Epoch: 1 [13056/47500]	Loss: 1.8882	LR: 0.026882
Training Epoch: 1 [13312/47500]	Loss: 1.7609	LR: 0.027419
Training Epoch: 1 [13568/47500]	Loss: 1.6446	LR: 0.027957
Training Epoch: 1 [13824/47500]	Loss: 1.7337	LR: 0.028495
Training Epoch: 1 [14080/47500]	Loss: 1.7304	LR: 0.029032
Training Epoch: 1 [14336/47500]	Loss: 1.8911	LR: 0.029570
Training Epoch: 1 [14592/47500]	Loss: 1.7153	LR: 0.030108
Training Epoch: 1 [14848/47500]	Loss: 1.8596	LR: 0.030645
Training Epoch: 1 [15104/47500]	Loss: 1.7044	LR: 0.031183
Training Epoch: 1 [15360/47500]	Loss: 1.7827	LR: 0.031720
Training Epoch: 1 [15616/47500]	Loss: 1.6847	LR: 0.032258
Training Epoch: 1 [15872/47500]	Loss: 1.8556	LR: 0.032796
Training Epoch: 1 [16128/47500]	Loss: 1.6324	LR: 0.033333
Training Epoch: 1 [16384/47500]	Loss: 1.8579	LR: 0.033871
Training Epoch: 1 [16640/47500]	Loss: 1.8254	LR: 0.034409
Training Epoch: 1 [16896/47500]	Loss: 1.7001	LR: 0.034946
Training Epoch: 1 [17152/47500]	Loss: 1.7455	LR: 0.035484
Training Epoch: 1 [17408/47500]	Loss: 1.8832	LR: 0.036022
Training Epoch: 1 [17664/47500]	Loss: 1.7293	LR: 0.036559
Training Epoch: 1 [17920/47500]	Loss: 1.8464	LR: 0.037097
Training Epoch: 1 [18176/47500]	Loss: 1.9464	LR: 0.037634
Training Epoch: 1 [18432/47500]	Loss: 1.7317	LR: 0.038172
Training Epoch: 1 [18688/47500]	Loss: 1.6501	LR: 0.038710
Training Epoch: 1 [18944/47500]	Loss: 1.6433	LR: 0.039247
Training Epoch: 1 [19200/47500]	Loss: 1.7571	LR: 0.039785
Training Epoch: 1 [19456/47500]	Loss: 1.6699	LR: 0.040323
Training Epoch: 1 [19712/47500]	Loss: 1.6350	LR: 0.040860
Training Epoch: 1 [19968/47500]	Loss: 1.6843	LR: 0.041398
Training Epoch: 1 [20224/47500]	Loss: 1.5625	LR: 0.041935
Training Epoch: 1 [20480/47500]	Loss: 1.7005	LR: 0.042473
Training Epoch: 1 [20736/47500]	Loss: 1.6381	LR: 0.043011
Training Epoch: 1 [20992/47500]	Loss: 1.7582	LR: 0.043548
Training Epoch: 1 [21248/47500]	Loss: 1.7812	LR: 0.044086
Training Epoch: 1 [21504/47500]	Loss: 1.6384	LR: 0.044624
Training Epoch: 1 [21760/47500]	Loss: 1.6296	LR: 0.045161
Training Epoch: 1 [22016/47500]	Loss: 1.7746	LR: 0.045699
Training Epoch: 1 [22272/47500]	Loss: 1.6600	LR: 0.046237
Training Epoch: 1 [22528/47500]	Loss: 1.5132	LR: 0.046774
Training Epoch: 1 [22784/47500]	Loss: 1.6254	LR: 0.047312
Training Epoch: 1 [23040/47500]	Loss: 1.4944	LR: 0.047849
Training Epoch: 1 [23296/47500]	Loss: 1.6640	LR: 0.048387
Training Epoch: 1 [23552/47500]	Loss: 1.7277	LR: 0.048925
Training Epoch: 1 [23808/47500]	Loss: 1.6684	LR: 0.049462
Training Epoch: 1 [24064/47500]	Loss: 1.6320	LR: 0.050000
Training Epoch: 1 [24320/47500]	Loss: 1.5122	LR: 0.050538
Training Epoch: 1 [24576/47500]	Loss: 1.6561	LR: 0.051075
Training Epoch: 1 [24832/47500]	Loss: 1.5591	LR: 0.051613
Training Epoch: 1 [25088/47500]	Loss: 1.7320	LR: 0.052151
Training Epoch: 1 [25344/47500]	Loss: 1.4682	LR: 0.052688
Training Epoch: 1 [25600/47500]	Loss: 1.5715	LR: 0.053226
Training Epoch: 1 [25856/47500]	Loss: 1.6003	LR: 0.053763
Training Epoch: 1 [26112/47500]	Loss: 1.6880	LR: 0.054301
Training Epoch: 1 [26368/47500]	Loss: 1.6134	LR: 0.054839
Training Epoch: 1 [26624/47500]	Loss: 1.4304	LR: 0.055376
Training Epoch: 1 [26880/47500]	Loss: 1.5829	LR: 0.055914
Training Epoch: 1 [27136/47500]	Loss: 1.6134	LR: 0.056452
Training Epoch: 1 [27392/47500]	Loss: 1.5722	LR: 0.056989
Training Epoch: 1 [27648/47500]	Loss: 1.6881	LR: 0.057527
Training Epoch: 1 [27904/47500]	Loss: 1.6086	LR: 0.058065
Training Epoch: 1 [28160/47500]	Loss: 1.5676	LR: 0.058602
Training Epoch: 1 [28416/47500]	Loss: 1.7452	LR: 0.059140
Training Epoch: 1 [28672/47500]	Loss: 1.6698	LR: 0.059677
Training Epoch: 1 [28928/47500]	Loss: 1.6655	LR: 0.060215
Training Epoch: 1 [29184/47500]	Loss: 1.7152	LR: 0.060753
Training Epoch: 1 [29440/47500]	Loss: 1.7754	LR: 0.061290
Training Epoch: 1 [29696/47500]	Loss: 1.8044	LR: 0.061828
Training Epoch: 1 [29952/47500]	Loss: 1.4389	LR: 0.062366
Training Epoch: 1 [30208/47500]	Loss: 1.7127	LR: 0.062903
Training Epoch: 1 [30464/47500]	Loss: 1.6707	LR: 0.063441
Training Epoch: 1 [30720/47500]	Loss: 1.5837	LR: 0.063978
Training Epoch: 1 [30976/47500]	Loss: 1.5901	LR: 0.064516
Training Epoch: 1 [31232/47500]	Loss: 1.5258	LR: 0.065054
Training Epoch: 1 [31488/47500]	Loss: 1.5555	LR: 0.065591
Training Epoch: 1 [31744/47500]	Loss: 1.6166	LR: 0.066129
Training Epoch: 1 [32000/47500]	Loss: 1.4848	LR: 0.066667
Training Epoch: 1 [32256/47500]	Loss: 1.7065	LR: 0.067204
Training Epoch: 1 [32512/47500]	Loss: 1.5704	LR: 0.067742
Training Epoch: 1 [32768/47500]	Loss: 1.6349	LR: 0.068280
Training Epoch: 1 [33024/47500]	Loss: 1.5642	LR: 0.068817
Training Epoch: 1 [33280/47500]	Loss: 1.6542	LR: 0.069355
Training Epoch: 1 [33536/47500]	Loss: 1.6704	LR: 0.069892
Training Epoch: 1 [33792/47500]	Loss: 1.6025	LR: 0.070430
Training Epoch: 1 [34048/47500]	Loss: 1.6291	LR: 0.070968
Training Epoch: 1 [34304/47500]	Loss: 1.5380	LR: 0.071505
Training Epoch: 1 [34560/47500]	Loss: 1.5454	LR: 0.072043
Training Epoch: 1 [34816/47500]	Loss: 1.5738	LR: 0.072581
Training Epoch: 1 [35072/47500]	Loss: 1.4980	LR: 0.073118
Training Epoch: 1 [35328/47500]	Loss: 1.6091	LR: 0.073656
Training Epoch: 1 [35584/47500]	Loss: 1.4804	LR: 0.074194
Training Epoch: 1 [35840/47500]	Loss: 1.5295	LR: 0.074731
Training Epoch: 1 [36096/47500]	Loss: 1.4107	LR: 0.075269
Training Epoch: 1 [36352/47500]	Loss: 1.5437	LR: 0.075806
Training Epoch: 1 [36608/47500]	Loss: 1.6753	LR: 0.076344
Training Epoch: 1 [36864/47500]	Loss: 1.4051	LR: 0.076882
Training Epoch: 1 [37120/47500]	Loss: 1.5574	LR: 0.077419
Training Epoch: 1 [37376/47500]	Loss: 1.7545	LR: 0.077957
Training Epoch: 1 [37632/47500]	Loss: 1.6046	LR: 0.078495
Training Epoch: 1 [37888/47500]	Loss: 1.6772	LR: 0.079032
Training Epoch: 1 [38144/47500]	Loss: 1.8123	LR: 0.079570
Training Epoch: 1 [38400/47500]	Loss: 1.5118	LR: 0.080108
Training Epoch: 1 [38656/47500]	Loss: 1.6817	LR: 0.080645
Training Epoch: 1 [38912/47500]	Loss: 1.8707	LR: 0.081183
Training Epoch: 1 [39168/47500]	Loss: 1.4460	LR: 0.081720
Training Epoch: 1 [39424/47500]	Loss: 1.5857	LR: 0.082258
Training Epoch: 1 [39680/47500]	Loss: 1.6147	LR: 0.082796
Training Epoch: 1 [39936/47500]	Loss: 1.3741	LR: 0.083333
Training Epoch: 1 [40192/47500]	Loss: 1.4815	LR: 0.083871
Training Epoch: 1 [40448/47500]	Loss: 1.5177	LR: 0.084409
Training Epoch: 1 [40704/47500]	Loss: 1.4472	LR: 0.084946
Training Epoch: 1 [40960/47500]	Loss: 1.5359	LR: 0.085484
Training Epoch: 1 [41216/47500]	Loss: 1.6160	LR: 0.086022
Training Epoch: 1 [41472/47500]	Loss: 1.4988	LR: 0.086559
Training Epoch: 1 [41728/47500]	Loss: 1.5038	LR: 0.087097
Training Epoch: 1 [41984/47500]	Loss: 1.4139	LR: 0.087634
Training Epoch: 1 [42240/47500]	Loss: 1.4554	LR: 0.088172
Training Epoch: 1 [42496/47500]	Loss: 1.4615	LR: 0.088710
Training Epoch: 1 [42752/47500]	Loss: 1.3420	LR: 0.089247
Training Epoch: 1 [43008/47500]	Loss: 1.4261	LR: 0.089785
Training Epoch: 1 [43264/47500]	Loss: 1.4734	LR: 0.090323
Training Epoch: 1 [43520/47500]	Loss: 1.4071	LR: 0.090860
Training Epoch: 1 [43776/47500]	Loss: 1.4463	LR: 0.091398
Training Epoch: 1 [44032/47500]	Loss: 1.3656	LR: 0.091935
Training Epoch: 1 [44288/47500]	Loss: 1.4622	LR: 0.092473
Training Epoch: 1 [44544/47500]	Loss: 1.4458	LR: 0.093011
Training Epoch: 1 [44800/47500]	Loss: 1.4938	LR: 0.093548
Training Epoch: 1 [45056/47500]	Loss: 1.4033	LR: 0.094086
Training Epoch: 1 [45312/47500]	Loss: 1.6814	LR: 0.094624
Training Epoch: 1 [45568/47500]	Loss: 1.3370	LR: 0.095161
Training Epoch: 1 [45824/47500]	Loss: 1.2962	LR: 0.095699
Training Epoch: 1 [46080/47500]	Loss: 1.5298	LR: 0.096237
Training Epoch: 1 [46336/47500]	Loss: 1.4969	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 1.5143	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 1.4686	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 1.5950	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 1.4218	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 1.4615	LR: 0.099462
Epoch 1 - Average Train Loss: 1.7127, Train Accuracy: 0.3741
Epoch 1 training time consumed: 29.47s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0072, Accuracy: 0.4338, Time consumed:1.02s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_15h_11m_01s/ResNet18-Cifar10-seed7-ret50-1-best.pth
Training Epoch: 2 [256/47500]	Loss: 1.5480	LR: 0.100000
Training Epoch: 2 [512/47500]	Loss: 1.5815	LR: 0.100000
Training Epoch: 2 [768/47500]	Loss: 1.4351	LR: 0.100000
Training Epoch: 2 [1024/47500]	Loss: 1.5416	LR: 0.100000
Training Epoch: 2 [1280/47500]	Loss: 1.4848	LR: 0.100000
Training Epoch: 2 [1536/47500]	Loss: 1.3821	LR: 0.100000
Training Epoch: 2 [1792/47500]	Loss: 1.5114	LR: 0.100000
Training Epoch: 2 [2048/47500]	Loss: 1.3278	LR: 0.100000
Training Epoch: 2 [2304/47500]	Loss: 1.6945	LR: 0.100000
Training Epoch: 2 [2560/47500]	Loss: 1.3632	LR: 0.100000
Training Epoch: 2 [2816/47500]	Loss: 1.4133	LR: 0.100000
Training Epoch: 2 [3072/47500]	Loss: 1.5927	LR: 0.100000
Training Epoch: 2 [3328/47500]	Loss: 1.4397	LR: 0.100000
Training Epoch: 2 [3584/47500]	Loss: 1.3862	LR: 0.100000
Training Epoch: 2 [3840/47500]	Loss: 1.4450	LR: 0.100000
Training Epoch: 2 [4096/47500]	Loss: 1.3283	LR: 0.100000
Training Epoch: 2 [4352/47500]	Loss: 1.3803	LR: 0.100000
Training Epoch: 2 [4608/47500]	Loss: 1.5560	LR: 0.100000
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Training Epoch: 2 [5120/47500]	Loss: 1.3341	LR: 0.100000
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Training Epoch: 2 [5632/47500]	Loss: 1.3686	LR: 0.100000
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Training Epoch: 2 [8448/47500]	Loss: 1.2563	LR: 0.100000
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Training Epoch: 2 [12800/47500]	Loss: 1.4054	LR: 0.100000
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Training Epoch: 2 [19200/47500]	Loss: 1.1869	LR: 0.100000
Training Epoch: 2 [19456/47500]	Loss: 1.3062	LR: 0.100000
Training Epoch: 2 [19712/47500]	Loss: 1.3338	LR: 0.100000
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Training Epoch: 2 [21504/47500]	Loss: 1.2274	LR: 0.100000
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Training Epoch: 2 [22016/47500]	Loss: 1.2227	LR: 0.100000
Training Epoch: 2 [22272/47500]	Loss: 1.1494	LR: 0.100000
Training Epoch: 2 [22528/47500]	Loss: 1.2661	LR: 0.100000
Training Epoch: 2 [22784/47500]	Loss: 1.2339	LR: 0.100000
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Training Epoch: 2 [47500/47500]	Loss: 1.1709	LR: 0.100000
Epoch 2 - Average Train Loss: 1.2409, Train Accuracy: 0.5542
Epoch 2 training time consumed: 28.41s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0046, Accuracy: 0.5900, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_15h_11m_01s/ResNet18-Cifar10-seed7-ret50-2-best.pth
Training Epoch: 3 [256/47500]	Loss: 1.0352	LR: 0.100000
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Training Epoch: 3 [47500/47500]	Loss: 0.8723	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9736, Train Accuracy: 0.6543
Epoch 3 training time consumed: 28.85s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0037, Accuracy: 0.6875, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_15h_11m_01s/ResNet18-Cifar10-seed7-ret50-3-best.pth
Training Epoch: 4 [256/47500]	Loss: 0.8345	LR: 0.100000
Training Epoch: 4 [512/47500]	Loss: 0.8811	LR: 0.100000
Training Epoch: 4 [768/47500]	Loss: 0.7853	LR: 0.100000
Training Epoch: 4 [1024/47500]	Loss: 0.8284	LR: 0.100000
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Epoch 4 - Average Train Loss: 0.8205, Train Accuracy: 0.7111
Epoch 4 training time consumed: 29.14s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0031, Accuracy: 0.7296, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_15h_11m_01s/ResNet18-Cifar10-seed7-ret50-4-best.pth
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Training Epoch: 5 [47500/47500]	Loss: 0.5596	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7140, Train Accuracy: 0.7499
Epoch 5 training time consumed: 28.97s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0033, Accuracy: 0.7152, Time consumed:1.06s
Training Epoch: 6 [256/47500]	Loss: 0.6522	LR: 0.100000
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Training Epoch: 6 [47500/47500]	Loss: 0.5803	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6498, Train Accuracy: 0.7716
Epoch 6 training time consumed: 28.52s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0028, Accuracy: 0.7560, Time consumed:1.04s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_15h_11m_01s/ResNet18-Cifar10-seed7-ret50-6-best.pth
Training Epoch: 7 [256/47500]	Loss: 0.5769	LR: 0.100000
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Training Epoch: 7 [47500/47500]	Loss: 0.5832	LR: 0.100000
Epoch 7 - Average Train Loss: 0.5998, Train Accuracy: 0.7917
Epoch 7 training time consumed: 29.01s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0027, Accuracy: 0.7739, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_15h_11m_01s/ResNet18-Cifar10-seed7-ret50-7-best.pth
Training Epoch: 8 [256/47500]	Loss: 0.5423	LR: 0.020000
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Training Epoch: 8 [47500/47500]	Loss: 0.3749	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4509, Train Accuracy: 0.8417
Epoch 8 training time consumed: 28.83s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0017, Accuracy: 0.8555, Time consumed:1.07s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_15h_11m_01s/ResNet18-Cifar10-seed7-ret50-8-best.pth
Training Epoch: 9 [256/47500]	Loss: 0.4901	LR: 0.020000
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Training Epoch: 9 [47500/47500]	Loss: 0.3741	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4040, Train Accuracy: 0.8589
Epoch 9 training time consumed: 28.88s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0016, Accuracy: 0.8659, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_15h_11m_01s/ResNet18-Cifar10-seed7-ret50-9-best.pth
Training Epoch: 10 [256/47500]	Loss: 0.3574	LR: 0.020000
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Training Epoch: 10 [14080/47500]	Loss: 0.3625	LR: 0.020000
Training Epoch: 10 [14336/47500]	Loss: 0.4057	LR: 0.020000
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Training Epoch: 10 [16128/47500]	Loss: 0.3831	LR: 0.020000
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Training Epoch: 10 [16896/47500]	Loss: 0.3434	LR: 0.020000
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Training Epoch: 10 [19968/47500]	Loss: 0.4203	LR: 0.020000
Training Epoch: 10 [20224/47500]	Loss: 0.3640	LR: 0.020000
Training Epoch: 10 [20480/47500]	Loss: 0.3946	LR: 0.020000
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Training Epoch: 10 [21504/47500]	Loss: 0.4153	LR: 0.020000
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Training Epoch: 10 [22016/47500]	Loss: 0.4208	LR: 0.020000
Training Epoch: 10 [22272/47500]	Loss: 0.3991	LR: 0.020000
Training Epoch: 10 [22528/47500]	Loss: 0.3339	LR: 0.020000
Training Epoch: 10 [22784/47500]	Loss: 0.4223	LR: 0.020000
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Training Epoch: 10 [23296/47500]	Loss: 0.3347	LR: 0.020000
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Training Epoch: 10 [23808/47500]	Loss: 0.3302	LR: 0.020000
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Training Epoch: 10 [24320/47500]	Loss: 0.3743	LR: 0.020000
Training Epoch: 10 [24576/47500]	Loss: 0.3537	LR: 0.020000
Training Epoch: 10 [24832/47500]	Loss: 0.3859	LR: 0.020000
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Training Epoch: 10 [25344/47500]	Loss: 0.3128	LR: 0.020000
Training Epoch: 10 [25600/47500]	Loss: 0.2891	LR: 0.020000
Training Epoch: 10 [25856/47500]	Loss: 0.3369	LR: 0.020000
Training Epoch: 10 [26112/47500]	Loss: 0.4496	LR: 0.020000
Training Epoch: 10 [26368/47500]	Loss: 0.4630	LR: 0.020000
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Training Epoch: 10 [27648/47500]	Loss: 0.4303	LR: 0.020000
Training Epoch: 10 [27904/47500]	Loss: 0.4014	LR: 0.020000
Training Epoch: 10 [28160/47500]	Loss: 0.3162	LR: 0.020000
Training Epoch: 10 [28416/47500]	Loss: 0.3667	LR: 0.020000
Training Epoch: 10 [28672/47500]	Loss: 0.3483	LR: 0.020000
Training Epoch: 10 [28928/47500]	Loss: 0.4041	LR: 0.020000
Training Epoch: 10 [29184/47500]	Loss: 0.3726	LR: 0.020000
Training Epoch: 10 [29440/47500]	Loss: 0.4007	LR: 0.020000
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Training Epoch: 10 [29952/47500]	Loss: 0.3623	LR: 0.020000
Training Epoch: 10 [30208/47500]	Loss: 0.4050	LR: 0.020000
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Training Epoch: 10 [30976/47500]	Loss: 0.3299	LR: 0.020000
Training Epoch: 10 [31232/47500]	Loss: 0.3891	LR: 0.020000
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Training Epoch: 10 [31744/47500]	Loss: 0.3741	LR: 0.020000
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Training Epoch: 10 [32256/47500]	Loss: 0.3248	LR: 0.020000
Training Epoch: 10 [32512/47500]	Loss: 0.3882	LR: 0.020000
Training Epoch: 10 [32768/47500]	Loss: 0.4438	LR: 0.020000
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Training Epoch: 10 [35072/47500]	Loss: 0.4069	LR: 0.020000
Training Epoch: 10 [35328/47500]	Loss: 0.3290	LR: 0.020000
Training Epoch: 10 [35584/47500]	Loss: 0.3729	LR: 0.020000
Training Epoch: 10 [35840/47500]	Loss: 0.3468	LR: 0.020000
Training Epoch: 10 [36096/47500]	Loss: 0.3810	LR: 0.020000
Training Epoch: 10 [36352/47500]	Loss: 0.3503	LR: 0.020000
Training Epoch: 10 [36608/47500]	Loss: 0.3868	LR: 0.020000
Training Epoch: 10 [36864/47500]	Loss: 0.2610	LR: 0.020000
Training Epoch: 10 [37120/47500]	Loss: 0.3412	LR: 0.020000
Training Epoch: 10 [37376/47500]	Loss: 0.3492	LR: 0.020000
Training Epoch: 10 [37632/47500]	Loss: 0.3721	LR: 0.020000
Training Epoch: 10 [37888/47500]	Loss: 0.3867	LR: 0.020000
Training Epoch: 10 [38144/47500]	Loss: 0.3204	LR: 0.020000
Training Epoch: 10 [38400/47500]	Loss: 0.3891	LR: 0.020000
Training Epoch: 10 [38656/47500]	Loss: 0.3784	LR: 0.020000
Training Epoch: 10 [38912/47500]	Loss: 0.3040	LR: 0.020000
Training Epoch: 10 [39168/47500]	Loss: 0.3498	LR: 0.020000
Training Epoch: 10 [39424/47500]	Loss: 0.3802	LR: 0.020000
Training Epoch: 10 [39680/47500]	Loss: 0.3184	LR: 0.020000
Training Epoch: 10 [39936/47500]	Loss: 0.3541	LR: 0.020000
Training Epoch: 10 [40192/47500]	Loss: 0.3789	LR: 0.020000
Training Epoch: 10 [40448/47500]	Loss: 0.4419	LR: 0.020000
Training Epoch: 10 [40704/47500]	Loss: 0.3472	LR: 0.020000
Training Epoch: 10 [40960/47500]	Loss: 0.4269	LR: 0.020000
Training Epoch: 10 [41216/47500]	Loss: 0.3485	LR: 0.020000
Training Epoch: 10 [41472/47500]	Loss: 0.4247	LR: 0.020000
Training Epoch: 10 [41728/47500]	Loss: 0.3193	LR: 0.020000
Training Epoch: 10 [41984/47500]	Loss: 0.4107	LR: 0.020000
Training Epoch: 10 [42240/47500]	Loss: 0.3358	LR: 0.020000
Training Epoch: 10 [42496/47500]	Loss: 0.3056	LR: 0.020000
Training Epoch: 10 [42752/47500]	Loss: 0.3696	LR: 0.020000
Training Epoch: 10 [43008/47500]	Loss: 0.3980	LR: 0.020000
Training Epoch: 10 [43264/47500]	Loss: 0.3816	LR: 0.020000
Training Epoch: 10 [43520/47500]	Loss: 0.4281	LR: 0.020000
Training Epoch: 10 [43776/47500]	Loss: 0.3006	LR: 0.020000
Training Epoch: 10 [44032/47500]	Loss: 0.4263	LR: 0.020000
Training Epoch: 10 [44288/47500]	Loss: 0.4247	LR: 0.020000
Training Epoch: 10 [44544/47500]	Loss: 0.3933	LR: 0.020000
Training Epoch: 10 [44800/47500]	Loss: 0.3898	LR: 0.020000
Training Epoch: 10 [45056/47500]	Loss: 0.5016	LR: 0.020000
Training Epoch: 10 [45312/47500]	Loss: 0.3642	LR: 0.020000
Training Epoch: 10 [45568/47500]	Loss: 0.3058	LR: 0.020000
Training Epoch: 10 [45824/47500]	Loss: 0.4503	LR: 0.020000
Training Epoch: 10 [46080/47500]	Loss: 0.4232	LR: 0.020000
Training Epoch: 10 [46336/47500]	Loss: 0.3970	LR: 0.020000
Training Epoch: 10 [46592/47500]	Loss: 0.3460	LR: 0.020000
Training Epoch: 10 [46848/47500]	Loss: 0.3164	LR: 0.020000
Training Epoch: 10 [47104/47500]	Loss: 0.4565	LR: 0.020000
Training Epoch: 10 [47360/47500]	Loss: 0.3769	LR: 0.020000
Training Epoch: 10 [47500/47500]	Loss: 0.4579	LR: 0.020000
Epoch 10 - Average Train Loss: 0.3792, Train Accuracy: 0.8674
Epoch 10 training time consumed: 28.60s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0016, Accuracy: 0.8632, Time consumed:1.04s
Training Epoch: 11 [256/47500]	Loss: 0.3707	LR: 0.020000
Training Epoch: 11 [512/47500]	Loss: 0.3712	LR: 0.020000
Training Epoch: 11 [768/47500]	Loss: 0.3402	LR: 0.020000
Training Epoch: 11 [1024/47500]	Loss: 0.3500	LR: 0.020000
Training Epoch: 11 [1280/47500]	Loss: 0.3167	LR: 0.020000
Training Epoch: 11 [1536/47500]	Loss: 0.3585	LR: 0.020000
Training Epoch: 11 [1792/47500]	Loss: 0.4077	LR: 0.020000
Training Epoch: 11 [2048/47500]	Loss: 0.3735	LR: 0.020000
Training Epoch: 11 [2304/47500]	Loss: 0.3010	LR: 0.020000
Training Epoch: 11 [2560/47500]	Loss: 0.3511	LR: 0.020000
Training Epoch: 11 [2816/47500]	Loss: 0.4374	LR: 0.020000
Training Epoch: 11 [3072/47500]	Loss: 0.3000	LR: 0.020000
Training Epoch: 11 [3328/47500]	Loss: 0.4037	LR: 0.020000
Training Epoch: 11 [3584/47500]	Loss: 0.3861	LR: 0.020000
Training Epoch: 11 [3840/47500]	Loss: 0.2780	LR: 0.020000
Training Epoch: 11 [4096/47500]	Loss: 0.3922	LR: 0.020000
Training Epoch: 11 [4352/47500]	Loss: 0.4337	LR: 0.020000
Training Epoch: 11 [4608/47500]	Loss: 0.3560	LR: 0.020000
Training Epoch: 11 [4864/47500]	Loss: 0.3927	LR: 0.020000
Training Epoch: 11 [5120/47500]	Loss: 0.3520	LR: 0.020000
Training Epoch: 11 [5376/47500]	Loss: 0.3790	LR: 0.020000
Training Epoch: 11 [5632/47500]	Loss: 0.3891	LR: 0.020000
Training Epoch: 11 [5888/47500]	Loss: 0.3681	LR: 0.020000
Training Epoch: 11 [6144/47500]	Loss: 0.3024	LR: 0.020000
Training Epoch: 11 [6400/47500]	Loss: 0.3514	LR: 0.020000
Training Epoch: 11 [6656/47500]	Loss: 0.3258	LR: 0.020000
Training Epoch: 11 [6912/47500]	Loss: 0.3083	LR: 0.020000
Training Epoch: 11 [7168/47500]	Loss: 0.2985	LR: 0.020000
Training Epoch: 11 [7424/47500]	Loss: 0.3541	LR: 0.020000
Training Epoch: 11 [7680/47500]	Loss: 0.3742	LR: 0.020000
Training Epoch: 11 [7936/47500]	Loss: 0.3676	LR: 0.020000
Training Epoch: 11 [8192/47500]	Loss: 0.4573	LR: 0.020000
Training Epoch: 11 [8448/47500]	Loss: 0.3626	LR: 0.020000
Training Epoch: 11 [8704/47500]	Loss: 0.2871	LR: 0.020000
Training Epoch: 11 [8960/47500]	Loss: 0.3610	LR: 0.020000
Training Epoch: 11 [9216/47500]	Loss: 0.4221	LR: 0.020000
Training Epoch: 11 [9472/47500]	Loss: 0.3020	LR: 0.020000
Training Epoch: 11 [9728/47500]	Loss: 0.3185	LR: 0.020000
Training Epoch: 11 [9984/47500]	Loss: 0.3598	LR: 0.020000
Training Epoch: 11 [10240/47500]	Loss: 0.4444	LR: 0.020000
Training Epoch: 11 [10496/47500]	Loss: 0.3908	LR: 0.020000
Training Epoch: 11 [10752/47500]	Loss: 0.3730	LR: 0.020000
Training Epoch: 11 [11008/47500]	Loss: 0.3308	LR: 0.020000
Training Epoch: 11 [11264/47500]	Loss: 0.3905	LR: 0.020000
Training Epoch: 11 [11520/47500]	Loss: 0.3190	LR: 0.020000
Training Epoch: 11 [11776/47500]	Loss: 0.3695	LR: 0.020000
Training Epoch: 11 [12032/47500]	Loss: 0.3485	LR: 0.020000
Training Epoch: 11 [12288/47500]	Loss: 0.2544	LR: 0.020000
Training Epoch: 11 [12544/47500]	Loss: 0.4089	LR: 0.020000
Training Epoch: 11 [12800/47500]	Loss: 0.4247	LR: 0.020000
Training Epoch: 11 [13056/47500]	Loss: 0.3878	LR: 0.020000
Training Epoch: 11 [13312/47500]	Loss: 0.3395	LR: 0.020000
Training Epoch: 11 [13568/47500]	Loss: 0.4306	LR: 0.020000
Training Epoch: 11 [13824/47500]	Loss: 0.4014	LR: 0.020000
Training Epoch: 11 [14080/47500]	Loss: 0.3492	LR: 0.020000
Training Epoch: 11 [14336/47500]	Loss: 0.2726	LR: 0.020000
Training Epoch: 11 [14592/47500]	Loss: 0.3273	LR: 0.020000
Training Epoch: 11 [14848/47500]	Loss: 0.3216	LR: 0.020000
Training Epoch: 11 [15104/47500]	Loss: 0.3368	LR: 0.020000
Training Epoch: 11 [15360/47500]	Loss: 0.3379	LR: 0.020000
Training Epoch: 11 [15616/47500]	Loss: 0.3513	LR: 0.020000
Training Epoch: 11 [15872/47500]	Loss: 0.3170	LR: 0.020000
Training Epoch: 11 [16128/47500]	Loss: 0.3322	LR: 0.020000
Training Epoch: 11 [16384/47500]	Loss: 0.3414	LR: 0.020000
Training Epoch: 11 [16640/47500]	Loss: 0.4804	LR: 0.020000
Training Epoch: 11 [16896/47500]	Loss: 0.3247	LR: 0.020000
Training Epoch: 11 [17152/47500]	Loss: 0.3320	LR: 0.020000
Training Epoch: 11 [17408/47500]	Loss: 0.3230	LR: 0.020000
Training Epoch: 11 [17664/47500]	Loss: 0.3911	LR: 0.020000
Training Epoch: 11 [17920/47500]	Loss: 0.2918	LR: 0.020000
Training Epoch: 11 [18176/47500]	Loss: 0.3409	LR: 0.020000
Training Epoch: 11 [18432/47500]	Loss: 0.3998	LR: 0.020000
Training Epoch: 11 [18688/47500]	Loss: 0.3026	LR: 0.020000
Training Epoch: 11 [18944/47500]	Loss: 0.3012	LR: 0.020000
Training Epoch: 11 [19200/47500]	Loss: 0.3594	LR: 0.020000
Training Epoch: 11 [19456/47500]	Loss: 0.3255	LR: 0.020000
Training Epoch: 11 [19712/47500]	Loss: 0.3337	LR: 0.020000
Training Epoch: 11 [19968/47500]	Loss: 0.2993	LR: 0.020000
Training Epoch: 11 [20224/47500]	Loss: 0.3814	LR: 0.020000
Training Epoch: 11 [20480/47500]	Loss: 0.4159	LR: 0.020000
Training Epoch: 11 [20736/47500]	Loss: 0.2953	LR: 0.020000
Training Epoch: 11 [20992/47500]	Loss: 0.4431	LR: 0.020000
Training Epoch: 11 [21248/47500]	Loss: 0.3920	LR: 0.020000
Training Epoch: 11 [21504/47500]	Loss: 0.4070	LR: 0.020000
Training Epoch: 11 [21760/47500]	Loss: 0.2714	LR: 0.020000
Training Epoch: 11 [22016/47500]	Loss: 0.3605	LR: 0.020000
Training Epoch: 11 [22272/47500]	Loss: 0.4048	LR: 0.020000
Training Epoch: 11 [22528/47500]	Loss: 0.3998	LR: 0.020000
Training Epoch: 11 [22784/47500]	Loss: 0.4240	LR: 0.020000
Training Epoch: 11 [23040/47500]	Loss: 0.4070	LR: 0.020000
Training Epoch: 11 [23296/47500]	Loss: 0.3530	LR: 0.020000
Training Epoch: 11 [23552/47500]	Loss: 0.4399	LR: 0.020000
Training Epoch: 11 [23808/47500]	Loss: 0.3710	LR: 0.020000
Training Epoch: 11 [24064/47500]	Loss: 0.3908	LR: 0.020000
Training Epoch: 11 [24320/47500]	Loss: 0.3490	LR: 0.020000
Training Epoch: 11 [24576/47500]	Loss: 0.4138	LR: 0.020000
Training Epoch: 11 [24832/47500]	Loss: 0.3007	LR: 0.020000
Training Epoch: 11 [25088/47500]	Loss: 0.5173	LR: 0.020000
Training Epoch: 11 [25344/47500]	Loss: 0.3774	LR: 0.020000
Training Epoch: 11 [25600/47500]	Loss: 0.3943	LR: 0.020000
Training Epoch: 11 [25856/47500]	Loss: 0.3349	LR: 0.020000
Training Epoch: 11 [26112/47500]	Loss: 0.3497	LR: 0.020000
Training Epoch: 11 [26368/47500]	Loss: 0.2847	LR: 0.020000
Training Epoch: 11 [26624/47500]	Loss: 0.3928	LR: 0.020000
Training Epoch: 11 [26880/47500]	Loss: 0.3433	LR: 0.020000
Training Epoch: 11 [27136/47500]	Loss: 0.4060	LR: 0.020000
Training Epoch: 11 [27392/47500]	Loss: 0.4552	LR: 0.020000
Training Epoch: 11 [27648/47500]	Loss: 0.3447	LR: 0.020000
Training Epoch: 11 [27904/47500]	Loss: 0.4371	LR: 0.020000
Training Epoch: 11 [28160/47500]	Loss: 0.4429	LR: 0.020000
Training Epoch: 11 [28416/47500]	Loss: 0.3585	LR: 0.020000
Training Epoch: 11 [28672/47500]	Loss: 0.2991	LR: 0.020000
Training Epoch: 11 [28928/47500]	Loss: 0.4022	LR: 0.020000
Training Epoch: 11 [29184/47500]	Loss: 0.4133	LR: 0.020000
Training Epoch: 11 [29440/47500]	Loss: 0.4189	LR: 0.020000
Training Epoch: 11 [29696/47500]	Loss: 0.4639	LR: 0.020000
Training Epoch: 11 [29952/47500]	Loss: 0.3636	LR: 0.020000
Training Epoch: 11 [30208/47500]	Loss: 0.3858	LR: 0.020000
Training Epoch: 11 [30464/47500]	Loss: 0.4476	LR: 0.020000
Training Epoch: 11 [30720/47500]	Loss: 0.4200	LR: 0.020000
Training Epoch: 11 [30976/47500]	Loss: 0.3617	LR: 0.020000
Training Epoch: 11 [31232/47500]	Loss: 0.2740	LR: 0.020000
Training Epoch: 11 [31488/47500]	Loss: 0.3503	LR: 0.020000
Training Epoch: 11 [31744/47500]	Loss: 0.3137	LR: 0.020000
Training Epoch: 11 [32000/47500]	Loss: 0.3128	LR: 0.020000
Training Epoch: 11 [32256/47500]	Loss: 0.3783	LR: 0.020000
Training Epoch: 11 [32512/47500]	Loss: 0.4161	LR: 0.020000
Training Epoch: 11 [32768/47500]	Loss: 0.4676	LR: 0.020000
Training Epoch: 11 [33024/47500]	Loss: 0.3358	LR: 0.020000
Training Epoch: 11 [33280/47500]	Loss: 0.4041	LR: 0.020000
Training Epoch: 11 [33536/47500]	Loss: 0.3261	LR: 0.020000
Training Epoch: 11 [33792/47500]	Loss: 0.4019	LR: 0.020000
Training Epoch: 11 [34048/47500]	Loss: 0.3395	LR: 0.020000
Training Epoch: 11 [34304/47500]	Loss: 0.3360	LR: 0.020000
Training Epoch: 11 [34560/47500]	Loss: 0.3801	LR: 0.020000
Training Epoch: 11 [34816/47500]	Loss: 0.3914	LR: 0.020000
Training Epoch: 11 [35072/47500]	Loss: 0.3984	LR: 0.020000
Training Epoch: 11 [35328/47500]	Loss: 0.3351	LR: 0.020000
Training Epoch: 11 [35584/47500]	Loss: 0.3951	LR: 0.020000
Training Epoch: 11 [35840/47500]	Loss: 0.4368	LR: 0.020000
Training Epoch: 11 [36096/47500]	Loss: 0.3700	LR: 0.020000
Training Epoch: 11 [36352/47500]	Loss: 0.3232	LR: 0.020000
Training Epoch: 11 [36608/47500]	Loss: 0.3012	LR: 0.020000
Training Epoch: 11 [36864/47500]	Loss: 0.5098	LR: 0.020000
Training Epoch: 11 [37120/47500]	Loss: 0.3618	LR: 0.020000
Training Epoch: 11 [37376/47500]	Loss: 0.2816	LR: 0.020000
Training Epoch: 11 [37632/47500]	Loss: 0.4147	LR: 0.020000
Training Epoch: 11 [37888/47500]	Loss: 0.3719	LR: 0.020000
Training Epoch: 11 [38144/47500]	Loss: 0.3376	LR: 0.020000
Training Epoch: 11 [38400/47500]	Loss: 0.3758	LR: 0.020000
Training Epoch: 11 [38656/47500]	Loss: 0.3873	LR: 0.020000
Training Epoch: 11 [38912/47500]	Loss: 0.3930	LR: 0.020000
Training Epoch: 11 [39168/47500]	Loss: 0.4215	LR: 0.020000
Training Epoch: 11 [39424/47500]	Loss: 0.3149	LR: 0.020000
Training Epoch: 11 [39680/47500]	Loss: 0.4582	LR: 0.020000
Training Epoch: 11 [39936/47500]	Loss: 0.3944	LR: 0.020000
Training Epoch: 11 [40192/47500]	Loss: 0.3565	LR: 0.020000
Training Epoch: 11 [40448/47500]	Loss: 0.3613	LR: 0.020000
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Training Epoch: 11 [47360/47500]	Loss: 0.3571	LR: 0.020000
Training Epoch: 11 [47500/47500]	Loss: 0.4722	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3646, Train Accuracy: 0.8724
Epoch 11 training time consumed: 28.96s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0015, Accuracy: 0.8728, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_15h_11m_01s/ResNet18-Cifar10-seed7-ret50-11-best.pth
Training Epoch: 12 [256/47500]	Loss: 0.3135	LR: 0.004000
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Training Epoch: 12 [47500/47500]	Loss: 0.2581	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3204, Train Accuracy: 0.8875
Epoch 12 training time consumed: 29.05s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0014, Accuracy: 0.8834, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_15h_11m_01s/ResNet18-Cifar10-seed7-ret50-12-best.pth
Training Epoch: 13 [256/47500]	Loss: 0.2775	LR: 0.004000
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Training Epoch: 13 [47500/47500]	Loss: 0.2605	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3021, Train Accuracy: 0.8961
Epoch 13 training time consumed: 28.76s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0014, Accuracy: 0.8866, Time consumed:1.08s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_15h_11m_01s/ResNet18-Cifar10-seed7-ret50-13-best.pth
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Training Epoch: 14 [47360/47500]	Loss: 0.2925	LR: 0.004000
Training Epoch: 14 [47500/47500]	Loss: 0.3144	LR: 0.004000
Epoch 14 - Average Train Loss: 0.2955, Train Accuracy: 0.8969
Epoch 14 training time consumed: 28.88s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0013, Accuracy: 0.8872, Time consumed:1.00s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_15h_11m_01s/ResNet18-Cifar10-seed7-ret50-14-best.pth
Training Epoch: 15 [256/47500]	Loss: 0.2138	LR: 0.004000
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Training Epoch: 15 [47500/47500]	Loss: 0.2116	LR: 0.004000
Epoch 15 - Average Train Loss: 0.2927, Train Accuracy: 0.8973
Epoch 15 training time consumed: 29.28s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0013, Accuracy: 0.8871, Time consumed:0.99s
Training Epoch: 16 [256/47500]	Loss: 0.3156	LR: 0.000800
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Training Epoch: 16 [47500/47500]	Loss: 0.3317	LR: 0.000800
Epoch 16 - Average Train Loss: 0.2798, Train Accuracy: 0.9018
Epoch 16 training time consumed: 28.82s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0013, Accuracy: 0.8903, Time consumed:1.02s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_15h_11m_01s/ResNet18-Cifar10-seed7-ret50-16-best.pth
Training Epoch: 17 [256/47500]	Loss: 0.2374	LR: 0.000800
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Training Epoch: 17 [45312/47500]	Loss: 0.3360	LR: 0.000800
Training Epoch: 17 [45568/47500]	Loss: 0.2406	LR: 0.000800
Training Epoch: 17 [45824/47500]	Loss: 0.2730	LR: 0.000800
Training Epoch: 17 [46080/47500]	Loss: 0.2579	LR: 0.000800
Training Epoch: 17 [46336/47500]	Loss: 0.3181	LR: 0.000800
Training Epoch: 17 [46592/47500]	Loss: 0.3506	LR: 0.000800
Training Epoch: 17 [46848/47500]	Loss: 0.3379	LR: 0.000800
Training Epoch: 17 [47104/47500]	Loss: 0.2610	LR: 0.000800
Training Epoch: 17 [47360/47500]	Loss: 0.2315	LR: 0.000800
Training Epoch: 17 [47500/47500]	Loss: 0.2158	LR: 0.000800
Epoch 17 - Average Train Loss: 0.2719, Train Accuracy: 0.9041
Epoch 17 training time consumed: 29.05s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0013, Accuracy: 0.8895, Time consumed:0.97s
Training Epoch: 18 [256/47500]	Loss: 0.3051	LR: 0.000800
Training Epoch: 18 [512/47500]	Loss: 0.3040	LR: 0.000800
Training Epoch: 18 [768/47500]	Loss: 0.3457	LR: 0.000800
Training Epoch: 18 [1024/47500]	Loss: 0.2472	LR: 0.000800
Training Epoch: 18 [1280/47500]	Loss: 0.2246	LR: 0.000800
Training Epoch: 18 [1536/47500]	Loss: 0.2099	LR: 0.000800
Training Epoch: 18 [1792/47500]	Loss: 0.2632	LR: 0.000800
Training Epoch: 18 [2048/47500]	Loss: 0.2663	LR: 0.000800
Training Epoch: 18 [2304/47500]	Loss: 0.2260	LR: 0.000800
Training Epoch: 18 [2560/47500]	Loss: 0.2991	LR: 0.000800
Training Epoch: 18 [2816/47500]	Loss: 0.1891	LR: 0.000800
Training Epoch: 18 [3072/47500]	Loss: 0.2500	LR: 0.000800
Training Epoch: 18 [3328/47500]	Loss: 0.2457	LR: 0.000800
Training Epoch: 18 [3584/47500]	Loss: 0.2584	LR: 0.000800
Training Epoch: 18 [3840/47500]	Loss: 0.3124	LR: 0.000800
Training Epoch: 18 [4096/47500]	Loss: 0.2102	LR: 0.000800
Training Epoch: 18 [4352/47500]	Loss: 0.2657	LR: 0.000800
Training Epoch: 18 [4608/47500]	Loss: 0.3119	LR: 0.000800
Training Epoch: 18 [4864/47500]	Loss: 0.2699	LR: 0.000800
Training Epoch: 18 [5120/47500]	Loss: 0.2709	LR: 0.000800
Training Epoch: 18 [5376/47500]	Loss: 0.2994	LR: 0.000800
Training Epoch: 18 [5632/47500]	Loss: 0.2318	LR: 0.000800
Training Epoch: 18 [5888/47500]	Loss: 0.2651	LR: 0.000800
Training Epoch: 18 [6144/47500]	Loss: 0.2575	LR: 0.000800
Training Epoch: 18 [6400/47500]	Loss: 0.2639	LR: 0.000800
Training Epoch: 18 [6656/47500]	Loss: 0.2840	LR: 0.000800
Training Epoch: 18 [6912/47500]	Loss: 0.2775	LR: 0.000800
Training Epoch: 18 [7168/47500]	Loss: 0.3008	LR: 0.000800
Training Epoch: 18 [7424/47500]	Loss: 0.2374	LR: 0.000800
Training Epoch: 18 [7680/47500]	Loss: 0.2557	LR: 0.000800
Training Epoch: 18 [7936/47500]	Loss: 0.2845	LR: 0.000800
Training Epoch: 18 [8192/47500]	Loss: 0.2409	LR: 0.000800
Training Epoch: 18 [8448/47500]	Loss: 0.2789	LR: 0.000800
Training Epoch: 18 [8704/47500]	Loss: 0.2082	LR: 0.000800
Training Epoch: 18 [8960/47500]	Loss: 0.2566	LR: 0.000800
Training Epoch: 18 [9216/47500]	Loss: 0.2676	LR: 0.000800
Training Epoch: 18 [9472/47500]	Loss: 0.2540	LR: 0.000800
Training Epoch: 18 [9728/47500]	Loss: 0.2997	LR: 0.000800
Training Epoch: 18 [9984/47500]	Loss: 0.2780	LR: 0.000800
Training Epoch: 18 [10240/47500]	Loss: 0.2833	LR: 0.000800
Training Epoch: 18 [10496/47500]	Loss: 0.2330	LR: 0.000800
Training Epoch: 18 [10752/47500]	Loss: 0.2707	LR: 0.000800
Training Epoch: 18 [11008/47500]	Loss: 0.2446	LR: 0.000800
Training Epoch: 18 [11264/47500]	Loss: 0.3092	LR: 0.000800
Training Epoch: 18 [11520/47500]	Loss: 0.3014	LR: 0.000800
Training Epoch: 18 [11776/47500]	Loss: 0.3063	LR: 0.000800
Training Epoch: 18 [12032/47500]	Loss: 0.2586	LR: 0.000800
Training Epoch: 18 [12288/47500]	Loss: 0.2194	LR: 0.000800
Training Epoch: 18 [12544/47500]	Loss: 0.2391	LR: 0.000800
Training Epoch: 18 [12800/47500]	Loss: 0.2675	LR: 0.000800
Training Epoch: 18 [13056/47500]	Loss: 0.2056	LR: 0.000800
Training Epoch: 18 [13312/47500]	Loss: 0.2400	LR: 0.000800
Training Epoch: 18 [13568/47500]	Loss: 0.2720	LR: 0.000800
Training Epoch: 18 [13824/47500]	Loss: 0.2805	LR: 0.000800
Training Epoch: 18 [14080/47500]	Loss: 0.2305	LR: 0.000800
Training Epoch: 18 [14336/47500]	Loss: 0.2498	LR: 0.000800
Training Epoch: 18 [14592/47500]	Loss: 0.2846	LR: 0.000800
Training Epoch: 18 [14848/47500]	Loss: 0.3119	LR: 0.000800
Training Epoch: 18 [15104/47500]	Loss: 0.2652	LR: 0.000800
Training Epoch: 18 [15360/47500]	Loss: 0.2755	LR: 0.000800
Training Epoch: 18 [15616/47500]	Loss: 0.1938	LR: 0.000800
Training Epoch: 18 [15872/47500]	Loss: 0.2636	LR: 0.000800
Training Epoch: 18 [16128/47500]	Loss: 0.2790	LR: 0.000800
Training Epoch: 18 [16384/47500]	Loss: 0.2350	LR: 0.000800
Training Epoch: 18 [16640/47500]	Loss: 0.2750	LR: 0.000800
Training Epoch: 18 [16896/47500]	Loss: 0.2810	LR: 0.000800
Training Epoch: 18 [17152/47500]	Loss: 0.2273	LR: 0.000800
Training Epoch: 18 [17408/47500]	Loss: 0.3453	LR: 0.000800
Training Epoch: 18 [17664/47500]	Loss: 0.2034	LR: 0.000800
Training Epoch: 18 [17920/47500]	Loss: 0.2731	LR: 0.000800
Training Epoch: 18 [18176/47500]	Loss: 0.2631	LR: 0.000800
Training Epoch: 18 [18432/47500]	Loss: 0.2665	LR: 0.000800
Training Epoch: 18 [18688/47500]	Loss: 0.2707	LR: 0.000800
Training Epoch: 18 [18944/47500]	Loss: 0.3050	LR: 0.000800
Training Epoch: 18 [19200/47500]	Loss: 0.3648	LR: 0.000800
Training Epoch: 18 [19456/47500]	Loss: 0.2701	LR: 0.000800
Training Epoch: 18 [19712/47500]	Loss: 0.2375	LR: 0.000800
Training Epoch: 18 [19968/47500]	Loss: 0.2024	LR: 0.000800
Training Epoch: 18 [20224/47500]	Loss: 0.3142	LR: 0.000800
Training Epoch: 18 [20480/47500]	Loss: 0.2343	LR: 0.000800
Training Epoch: 18 [20736/47500]	Loss: 0.2555	LR: 0.000800
Training Epoch: 18 [20992/47500]	Loss: 0.2828	LR: 0.000800
Training Epoch: 18 [21248/47500]	Loss: 0.2031	LR: 0.000800
Training Epoch: 18 [21504/47500]	Loss: 0.2858	LR: 0.000800
Training Epoch: 18 [21760/47500]	Loss: 0.3119	LR: 0.000800
Training Epoch: 18 [22016/47500]	Loss: 0.3077	LR: 0.000800
Training Epoch: 18 [22272/47500]	Loss: 0.2554	LR: 0.000800
Training Epoch: 18 [22528/47500]	Loss: 0.2620	LR: 0.000800
Training Epoch: 18 [22784/47500]	Loss: 0.3047	LR: 0.000800
Training Epoch: 18 [23040/47500]	Loss: 0.3068	LR: 0.000800
Training Epoch: 18 [23296/47500]	Loss: 0.3535	LR: 0.000800
Training Epoch: 18 [23552/47500]	Loss: 0.2629	LR: 0.000800
Training Epoch: 18 [23808/47500]	Loss: 0.2383	LR: 0.000800
Training Epoch: 18 [24064/47500]	Loss: 0.2239	LR: 0.000800
Training Epoch: 18 [24320/47500]	Loss: 0.2900	LR: 0.000800
Training Epoch: 18 [24576/47500]	Loss: 0.3136	LR: 0.000800
Training Epoch: 18 [24832/47500]	Loss: 0.2542	LR: 0.000800
Training Epoch: 18 [25088/47500]	Loss: 0.2568	LR: 0.000800
Training Epoch: 18 [25344/47500]	Loss: 0.2309	LR: 0.000800
Training Epoch: 18 [25600/47500]	Loss: 0.2570	LR: 0.000800
Training Epoch: 18 [25856/47500]	Loss: 0.1933	LR: 0.000800
Training Epoch: 18 [26112/47500]	Loss: 0.2878	LR: 0.000800
Training Epoch: 18 [26368/47500]	Loss: 0.2341	LR: 0.000800
Training Epoch: 18 [26624/47500]	Loss: 0.2815	LR: 0.000800
Training Epoch: 18 [26880/47500]	Loss: 0.2331	LR: 0.000800
Training Epoch: 18 [27136/47500]	Loss: 0.2214	LR: 0.000800
Training Epoch: 18 [27392/47500]	Loss: 0.3456	LR: 0.000800
Training Epoch: 18 [27648/47500]	Loss: 0.2498	LR: 0.000800
Training Epoch: 18 [27904/47500]	Loss: 0.3591	LR: 0.000800
Training Epoch: 18 [28160/47500]	Loss: 0.3210	LR: 0.000800
Training Epoch: 18 [28416/47500]	Loss: 0.2680	LR: 0.000800
Training Epoch: 18 [28672/47500]	Loss: 0.2851	LR: 0.000800
Training Epoch: 18 [28928/47500]	Loss: 0.2964	LR: 0.000800
Training Epoch: 18 [29184/47500]	Loss: 0.2096	LR: 0.000800
Training Epoch: 18 [29440/47500]	Loss: 0.2654	LR: 0.000800
Training Epoch: 18 [29696/47500]	Loss: 0.3037	LR: 0.000800
Training Epoch: 18 [29952/47500]	Loss: 0.2959	LR: 0.000800
Training Epoch: 18 [30208/47500]	Loss: 0.2516	LR: 0.000800
Training Epoch: 18 [30464/47500]	Loss: 0.2618	LR: 0.000800
Training Epoch: 18 [30720/47500]	Loss: 0.2804	LR: 0.000800
Training Epoch: 18 [30976/47500]	Loss: 0.3176	LR: 0.000800
Training Epoch: 18 [31232/47500]	Loss: 0.2042	LR: 0.000800
Training Epoch: 18 [31488/47500]	Loss: 0.3297	LR: 0.000800
Training Epoch: 18 [31744/47500]	Loss: 0.2690	LR: 0.000800
Training Epoch: 18 [32000/47500]	Loss: 0.2482	LR: 0.000800
Training Epoch: 18 [32256/47500]	Loss: 0.2968	LR: 0.000800
Training Epoch: 18 [32512/47500]	Loss: 0.2526	LR: 0.000800
Training Epoch: 18 [32768/47500]	Loss: 0.2347	LR: 0.000800
Training Epoch: 18 [33024/47500]	Loss: 0.2271	LR: 0.000800
Training Epoch: 18 [33280/47500]	Loss: 0.2796	LR: 0.000800
Training Epoch: 18 [33536/47500]	Loss: 0.2704	LR: 0.000800
Training Epoch: 18 [33792/47500]	Loss: 0.2188	LR: 0.000800
Training Epoch: 18 [34048/47500]	Loss: 0.2841	LR: 0.000800
Training Epoch: 18 [34304/47500]	Loss: 0.2701	LR: 0.000800
Training Epoch: 18 [34560/47500]	Loss: 0.3263	LR: 0.000800
Training Epoch: 18 [34816/47500]	Loss: 0.2063	LR: 0.000800
Training Epoch: 18 [35072/47500]	Loss: 0.3090	LR: 0.000800
Training Epoch: 18 [35328/47500]	Loss: 0.2653	LR: 0.000800
Training Epoch: 18 [35584/47500]	Loss: 0.2872	LR: 0.000800
Training Epoch: 18 [35840/47500]	Loss: 0.2632	LR: 0.000800
Training Epoch: 18 [36096/47500]	Loss: 0.2932	LR: 0.000800
Training Epoch: 18 [36352/47500]	Loss: 0.2802	LR: 0.000800
Training Epoch: 18 [36608/47500]	Loss: 0.1903	LR: 0.000800
Training Epoch: 18 [36864/47500]	Loss: 0.3048	LR: 0.000800
Training Epoch: 18 [37120/47500]	Loss: 0.3332	LR: 0.000800
Training Epoch: 18 [37376/47500]	Loss: 0.2219	LR: 0.000800
Training Epoch: 18 [37632/47500]	Loss: 0.3261	LR: 0.000800
Training Epoch: 18 [37888/47500]	Loss: 0.3597	LR: 0.000800
Training Epoch: 18 [38144/47500]	Loss: 0.2629	LR: 0.000800
Training Epoch: 18 [38400/47500]	Loss: 0.2606	LR: 0.000800
Training Epoch: 18 [38656/47500]	Loss: 0.3137	LR: 0.000800
Training Epoch: 18 [38912/47500]	Loss: 0.2791	LR: 0.000800
Training Epoch: 18 [39168/47500]	Loss: 0.3279	LR: 0.000800
Training Epoch: 18 [39424/47500]	Loss: 0.3109	LR: 0.000800
Training Epoch: 18 [39680/47500]	Loss: 0.2654	LR: 0.000800
Training Epoch: 18 [39936/47500]	Loss: 0.2565	LR: 0.000800
Training Epoch: 18 [40192/47500]	Loss: 0.2393	LR: 0.000800
Training Epoch: 18 [40448/47500]	Loss: 0.3039	LR: 0.000800
Training Epoch: 18 [40704/47500]	Loss: 0.2604	LR: 0.000800
Training Epoch: 18 [40960/47500]	Loss: 0.3277	LR: 0.000800
Training Epoch: 18 [41216/47500]	Loss: 0.2531	LR: 0.000800
Training Epoch: 18 [41472/47500]	Loss: 0.3092	LR: 0.000800
Training Epoch: 18 [41728/47500]	Loss: 0.2193	LR: 0.000800
Training Epoch: 18 [41984/47500]	Loss: 0.2542	LR: 0.000800
Training Epoch: 18 [42240/47500]	Loss: 0.2442	LR: 0.000800
Training Epoch: 18 [42496/47500]	Loss: 0.2394	LR: 0.000800
Training Epoch: 18 [42752/47500]	Loss: 0.2911	LR: 0.000800
Training Epoch: 18 [43008/47500]	Loss: 0.3059	LR: 0.000800
Training Epoch: 18 [43264/47500]	Loss: 0.2757	LR: 0.000800
Training Epoch: 18 [43520/47500]	Loss: 0.2647	LR: 0.000800
Training Epoch: 18 [43776/47500]	Loss: 0.2468	LR: 0.000800
Training Epoch: 18 [44032/47500]	Loss: 0.2887	LR: 0.000800
Training Epoch: 18 [44288/47500]	Loss: 0.2758	LR: 0.000800
Training Epoch: 18 [44544/47500]	Loss: 0.2135	LR: 0.000800
Training Epoch: 18 [44800/47500]	Loss: 0.2715	LR: 0.000800
Training Epoch: 18 [45056/47500]	Loss: 0.2277	LR: 0.000800
Training Epoch: 18 [45312/47500]	Loss: 0.3916	LR: 0.000800
Training Epoch: 18 [45568/47500]	Loss: 0.2213	LR: 0.000800
Training Epoch: 18 [45824/47500]	Loss: 0.2719	LR: 0.000800
Training Epoch: 18 [46080/47500]	Loss: 0.2881	LR: 0.000800
Training Epoch: 18 [46336/47500]	Loss: 0.2966	LR: 0.000800
Training Epoch: 18 [46592/47500]	Loss: 0.2906	LR: 0.000800
Training Epoch: 18 [46848/47500]	Loss: 0.2735	LR: 0.000800
Training Epoch: 18 [47104/47500]	Loss: 0.2328	LR: 0.000800
Training Epoch: 18 [47360/47500]	Loss: 0.2664	LR: 0.000800
Training Epoch: 18 [47500/47500]	Loss: 0.2530	LR: 0.000800
Epoch 18 - Average Train Loss: 0.2695, Train Accuracy: 0.9057
Epoch 18 training time consumed: 28.74s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0013, Accuracy: 0.8894, Time consumed:0.97s
Training Epoch: 19 [256/47500]	Loss: 0.2571	LR: 0.000800
Training Epoch: 19 [512/47500]	Loss: 0.3312	LR: 0.000800
Training Epoch: 19 [768/47500]	Loss: 0.2922	LR: 0.000800
Training Epoch: 19 [1024/47500]	Loss: 0.3347	LR: 0.000800
Training Epoch: 19 [1280/47500]	Loss: 0.2986	LR: 0.000800
Training Epoch: 19 [1536/47500]	Loss: 0.3009	LR: 0.000800
Training Epoch: 19 [1792/47500]	Loss: 0.3334	LR: 0.000800
Training Epoch: 19 [2048/47500]	Loss: 0.2677	LR: 0.000800
Training Epoch: 19 [2304/47500]	Loss: 0.2752	LR: 0.000800
Training Epoch: 19 [2560/47500]	Loss: 0.2686	LR: 0.000800
Training Epoch: 19 [2816/47500]	Loss: 0.2176	LR: 0.000800
Training Epoch: 19 [3072/47500]	Loss: 0.2254	LR: 0.000800
Training Epoch: 19 [3328/47500]	Loss: 0.2284	LR: 0.000800
Training Epoch: 19 [3584/47500]	Loss: 0.3585	LR: 0.000800
Training Epoch: 19 [3840/47500]	Loss: 0.2117	LR: 0.000800
Training Epoch: 19 [4096/47500]	Loss: 0.2047	LR: 0.000800
Training Epoch: 19 [4352/47500]	Loss: 0.3270	LR: 0.000800
Training Epoch: 19 [4608/47500]	Loss: 0.2628	LR: 0.000800
Training Epoch: 19 [4864/47500]	Loss: 0.2622	LR: 0.000800
Training Epoch: 19 [5120/47500]	Loss: 0.3142	LR: 0.000800
Training Epoch: 19 [5376/47500]	Loss: 0.2599	LR: 0.000800
Training Epoch: 19 [5632/47500]	Loss: 0.3495	LR: 0.000800
Training Epoch: 19 [5888/47500]	Loss: 0.2893	LR: 0.000800
Training Epoch: 19 [6144/47500]	Loss: 0.2545	LR: 0.000800
Training Epoch: 19 [6400/47500]	Loss: 0.2197	LR: 0.000800
Training Epoch: 19 [6656/47500]	Loss: 0.2192	LR: 0.000800
Training Epoch: 19 [6912/47500]	Loss: 0.2807	LR: 0.000800
Training Epoch: 19 [7168/47500]	Loss: 0.2576	LR: 0.000800
Training Epoch: 19 [7424/47500]	Loss: 0.2290	LR: 0.000800
Training Epoch: 19 [7680/47500]	Loss: 0.2162	LR: 0.000800
Training Epoch: 19 [7936/47500]	Loss: 0.2325	LR: 0.000800
Training Epoch: 19 [8192/47500]	Loss: 0.2092	LR: 0.000800
Training Epoch: 19 [8448/47500]	Loss: 0.2490	LR: 0.000800
Training Epoch: 19 [8704/47500]	Loss: 0.2037	LR: 0.000800
Training Epoch: 19 [8960/47500]	Loss: 0.2892	LR: 0.000800
Training Epoch: 19 [9216/47500]	Loss: 0.3324	LR: 0.000800
Training Epoch: 19 [9472/47500]	Loss: 0.3252	LR: 0.000800
Training Epoch: 19 [9728/47500]	Loss: 0.2172	LR: 0.000800
Training Epoch: 19 [9984/47500]	Loss: 0.2744	LR: 0.000800
Training Epoch: 19 [10240/47500]	Loss: 0.2140	LR: 0.000800
Training Epoch: 19 [10496/47500]	Loss: 0.2741	LR: 0.000800
Training Epoch: 19 [10752/47500]	Loss: 0.2734	LR: 0.000800
Training Epoch: 19 [11008/47500]	Loss: 0.2275	LR: 0.000800
Training Epoch: 19 [11264/47500]	Loss: 0.2350	LR: 0.000800
Training Epoch: 19 [11520/47500]	Loss: 0.2721	LR: 0.000800
Training Epoch: 19 [11776/47500]	Loss: 0.2385	LR: 0.000800
Training Epoch: 19 [12032/47500]	Loss: 0.3615	LR: 0.000800
Training Epoch: 19 [12288/47500]	Loss: 0.1988	LR: 0.000800
Training Epoch: 19 [12544/47500]	Loss: 0.2984	LR: 0.000800
Training Epoch: 19 [12800/47500]	Loss: 0.2442	LR: 0.000800
Training Epoch: 19 [13056/47500]	Loss: 0.3189	LR: 0.000800
Training Epoch: 19 [13312/47500]	Loss: 0.2850	LR: 0.000800
Training Epoch: 19 [13568/47500]	Loss: 0.2796	LR: 0.000800
Training Epoch: 19 [13824/47500]	Loss: 0.2018	LR: 0.000800
Training Epoch: 19 [14080/47500]	Loss: 0.2145	LR: 0.000800
Training Epoch: 19 [14336/47500]	Loss: 0.2789	LR: 0.000800
Training Epoch: 19 [14592/47500]	Loss: 0.3031	LR: 0.000800
Training Epoch: 19 [14848/47500]	Loss: 0.2876	LR: 0.000800
Training Epoch: 19 [15104/47500]	Loss: 0.3204	LR: 0.000800
Training Epoch: 19 [15360/47500]	Loss: 0.2292	LR: 0.000800
Training Epoch: 19 [15616/47500]	Loss: 0.2530	LR: 0.000800
Training Epoch: 19 [15872/47500]	Loss: 0.3471	LR: 0.000800
Training Epoch: 19 [16128/47500]	Loss: 0.2747	LR: 0.000800
Training Epoch: 19 [16384/47500]	Loss: 0.2486	LR: 0.000800
Training Epoch: 19 [16640/47500]	Loss: 0.3070	LR: 0.000800
Training Epoch: 19 [16896/47500]	Loss: 0.2852	LR: 0.000800
Training Epoch: 19 [17152/47500]	Loss: 0.2951	LR: 0.000800
Training Epoch: 19 [17408/47500]	Loss: 0.2975	LR: 0.000800
Training Epoch: 19 [17664/47500]	Loss: 0.3375	LR: 0.000800
Training Epoch: 19 [17920/47500]	Loss: 0.2596	LR: 0.000800
Training Epoch: 19 [18176/47500]	Loss: 0.2020	LR: 0.000800
Training Epoch: 19 [18432/47500]	Loss: 0.3042	LR: 0.000800
Training Epoch: 19 [18688/47500]	Loss: 0.2900	LR: 0.000800
Training Epoch: 19 [18944/47500]	Loss: 0.2611	LR: 0.000800
Training Epoch: 19 [19200/47500]	Loss: 0.2354	LR: 0.000800
Training Epoch: 19 [19456/47500]	Loss: 0.3181	LR: 0.000800
Training Epoch: 19 [19712/47500]	Loss: 0.2402	LR: 0.000800
Training Epoch: 19 [19968/47500]	Loss: 0.3196	LR: 0.000800
Training Epoch: 19 [20224/47500]	Loss: 0.2456	LR: 0.000800
Training Epoch: 19 [20480/47500]	Loss: 0.3286	LR: 0.000800
Training Epoch: 19 [20736/47500]	Loss: 0.2889	LR: 0.000800
Training Epoch: 19 [20992/47500]	Loss: 0.2669	LR: 0.000800
Training Epoch: 19 [21248/47500]	Loss: 0.2537	LR: 0.000800
Training Epoch: 19 [21504/47500]	Loss: 0.3668	LR: 0.000800
Training Epoch: 19 [21760/47500]	Loss: 0.2465	LR: 0.000800
Training Epoch: 19 [22016/47500]	Loss: 0.2694	LR: 0.000800
Training Epoch: 19 [22272/47500]	Loss: 0.2597	LR: 0.000800
Training Epoch: 19 [22528/47500]	Loss: 0.3626	LR: 0.000800
Training Epoch: 19 [22784/47500]	Loss: 0.2334	LR: 0.000800
Training Epoch: 19 [23040/47500]	Loss: 0.2104	LR: 0.000800
Training Epoch: 19 [23296/47500]	Loss: 0.2664	LR: 0.000800
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Training Epoch: 19 [44032/47500]	Loss: 0.2427	LR: 0.000800
Training Epoch: 19 [44288/47500]	Loss: 0.2766	LR: 0.000800
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Training Epoch: 19 [45056/47500]	Loss: 0.2349	LR: 0.000800
Training Epoch: 19 [45312/47500]	Loss: 0.3550	LR: 0.000800
Training Epoch: 19 [45568/47500]	Loss: 0.2291	LR: 0.000800
Training Epoch: 19 [45824/47500]	Loss: 0.2637	LR: 0.000800
Training Epoch: 19 [46080/47500]	Loss: 0.2837	LR: 0.000800
Training Epoch: 19 [46336/47500]	Loss: 0.2436	LR: 0.000800
Training Epoch: 19 [46592/47500]	Loss: 0.3021	LR: 0.000800
Training Epoch: 19 [46848/47500]	Loss: 0.2621	LR: 0.000800
Training Epoch: 19 [47104/47500]	Loss: 0.3006	LR: 0.000800
Training Epoch: 19 [47360/47500]	Loss: 0.3114	LR: 0.000800
Training Epoch: 19 [47500/47500]	Loss: 0.2348	LR: 0.000800
Epoch 19 - Average Train Loss: 0.2691, Train Accuracy: 0.9063
Epoch 19 training time consumed: 28.95s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0013, Accuracy: 0.8912, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_15h_11m_01s/ResNet18-Cifar10-seed7-ret50-19-best.pth
Training Epoch: 20 [256/47500]	Loss: 0.2853	LR: 0.000800
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Training Epoch: 20 [46336/47500]	Loss: 0.2946	LR: 0.000800
Training Epoch: 20 [46592/47500]	Loss: 0.2889	LR: 0.000800
Training Epoch: 20 [46848/47500]	Loss: 0.3106	LR: 0.000800
Training Epoch: 20 [47104/47500]	Loss: 0.3020	LR: 0.000800
Training Epoch: 20 [47360/47500]	Loss: 0.1930	LR: 0.000800
Training Epoch: 20 [47500/47500]	Loss: 0.3090	LR: 0.000800
Epoch 20 - Average Train Loss: 0.2701, Train Accuracy: 0.9064
Epoch 20 training time consumed: 28.89s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0013, Accuracy: 0.8900, Time consumed:0.98s
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
MIA Attack Accuracy with XGBoost: 0.7400
Set1 Distribution: 2500 samples
Set2 Distribution: 2500 samples
MIA Attack Accuracy with XGBoost: 0.5110
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
MIA Attack Accuracy with XGBoost: 0.6657
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
MIA Attack Accuracy with XGBoost: 0.5105
Test Accuracy: 91.552734375
Retain Accuracy: 94.02415466308594
Zero-Retain Forget (ZRF): 0.8209446668624878
Membership Inference Attack (MIA): 0.6996
Forget vs Retain Membership Inference Attack (MIA): 0.74
Forget vs Test Membership Inference Attack (MIA): 0.511
Test vs Retain Membership Inference Attack (MIA): 0.66575
Train vs Test Membership Inference Attack (MIA): 0.5105
Forget Set Accuracy (Df): 94.50733947753906
Method Execution Time: 2483.81 seconds
