hello
hello

📌 Retain class distribution for seed 3:
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 3:
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
hello
hello
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/47500]	Loss: 2.3283	LR: 0.000000
Training Epoch: 1 [512/47500]	Loss: 2.3593	LR: 0.000538
Training Epoch: 1 [768/47500]	Loss: 2.3115	LR: 0.001075
Training Epoch: 1 [1024/47500]	Loss: 2.3391	LR: 0.001613
Training Epoch: 1 [1280/47500]	Loss: 2.3521	LR: 0.002151
Training Epoch: 1 [1536/47500]	Loss: 2.3108	LR: 0.002688
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Training Epoch: 1 [2048/47500]	Loss: 2.3058	LR: 0.003763
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Training Epoch: 1 [10496/47500]	Loss: 1.7595	LR: 0.021505
Training Epoch: 1 [10752/47500]	Loss: 1.7286	LR: 0.022043
Training Epoch: 1 [11008/47500]	Loss: 1.8495	LR: 0.022581
Training Epoch: 1 [11264/47500]	Loss: 1.8118	LR: 0.023118
Training Epoch: 1 [11520/47500]	Loss: 1.7083	LR: 0.023656
Training Epoch: 1 [11776/47500]	Loss: 1.7481	LR: 0.024194
Training Epoch: 1 [12032/47500]	Loss: 1.7757	LR: 0.024731
Training Epoch: 1 [12288/47500]	Loss: 1.7897	LR: 0.025269
Training Epoch: 1 [12544/47500]	Loss: 1.7103	LR: 0.025806
Training Epoch: 1 [12800/47500]	Loss: 1.7155	LR: 0.026344
Training Epoch: 1 [13056/47500]	Loss: 1.7695	LR: 0.026882
Training Epoch: 1 [13312/47500]	Loss: 1.6937	LR: 0.027419
Training Epoch: 1 [13568/47500]	Loss: 1.7862	LR: 0.027957
Training Epoch: 1 [13824/47500]	Loss: 1.6908	LR: 0.028495
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Training Epoch: 1 [16896/47500]	Loss: 1.5551	LR: 0.034946
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Training Epoch: 1 [22272/47500]	Loss: 1.6266	LR: 0.046237
Training Epoch: 1 [22528/47500]	Loss: 1.5888	LR: 0.046774
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Training Epoch: 1 [24832/47500]	Loss: 1.5621	LR: 0.051613
Training Epoch: 1 [25088/47500]	Loss: 1.6515	LR: 0.052151
Training Epoch: 1 [25344/47500]	Loss: 1.6227	LR: 0.052688
Training Epoch: 1 [25600/47500]	Loss: 1.5212	LR: 0.053226
Training Epoch: 1 [25856/47500]	Loss: 1.5810	LR: 0.053763
Training Epoch: 1 [26112/47500]	Loss: 1.6279	LR: 0.054301
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Training Epoch: 1 [26880/47500]	Loss: 1.5707	LR: 0.055914
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Training Epoch: 1 [27904/47500]	Loss: 1.5348	LR: 0.058065
Training Epoch: 1 [28160/47500]	Loss: 1.5360	LR: 0.058602
Training Epoch: 1 [28416/47500]	Loss: 1.5853	LR: 0.059140
Training Epoch: 1 [28672/47500]	Loss: 1.4576	LR: 0.059677
Training Epoch: 1 [28928/47500]	Loss: 1.5310	LR: 0.060215
Training Epoch: 1 [29184/47500]	Loss: 1.5636	LR: 0.060753
Training Epoch: 1 [29440/47500]	Loss: 1.5237	LR: 0.061290
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Training Epoch: 1 [30208/47500]	Loss: 1.3781	LR: 0.062903
Training Epoch: 1 [30464/47500]	Loss: 1.4803	LR: 0.063441
Training Epoch: 1 [30720/47500]	Loss: 1.4781	LR: 0.063978
Training Epoch: 1 [30976/47500]	Loss: 1.4570	LR: 0.064516
Training Epoch: 1 [31232/47500]	Loss: 1.4967	LR: 0.065054
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Training Epoch: 1 [31744/47500]	Loss: 1.4407	LR: 0.066129
Training Epoch: 1 [32000/47500]	Loss: 1.5564	LR: 0.066667
Training Epoch: 1 [32256/47500]	Loss: 1.3955	LR: 0.067204
Training Epoch: 1 [32512/47500]	Loss: 1.5513	LR: 0.067742
Training Epoch: 1 [32768/47500]	Loss: 1.3883	LR: 0.068280
Training Epoch: 1 [33024/47500]	Loss: 1.2791	LR: 0.068817
Training Epoch: 1 [33280/47500]	Loss: 1.5010	LR: 0.069355
Training Epoch: 1 [33536/47500]	Loss: 1.4411	LR: 0.069892
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Training Epoch: 1 [34304/47500]	Loss: 1.5195	LR: 0.071505
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Training Epoch: 1 [35328/47500]	Loss: 1.4552	LR: 0.073656
Training Epoch: 1 [35584/47500]	Loss: 1.4268	LR: 0.074194
Training Epoch: 1 [35840/47500]	Loss: 1.3483	LR: 0.074731
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Training Epoch: 1 [36352/47500]	Loss: 1.3588	LR: 0.075806
Training Epoch: 1 [36608/47500]	Loss: 1.4132	LR: 0.076344
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Training Epoch: 1 [37120/47500]	Loss: 1.3090	LR: 0.077419
Training Epoch: 1 [37376/47500]	Loss: 1.4280	LR: 0.077957
Training Epoch: 1 [37632/47500]	Loss: 1.3090	LR: 0.078495
Training Epoch: 1 [37888/47500]	Loss: 1.3786	LR: 0.079032
Training Epoch: 1 [38144/47500]	Loss: 1.3604	LR: 0.079570
Training Epoch: 1 [38400/47500]	Loss: 1.3373	LR: 0.080108
Training Epoch: 1 [38656/47500]	Loss: 1.3754	LR: 0.080645
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Training Epoch: 1 [39168/47500]	Loss: 1.4807	LR: 0.081720
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Training Epoch: 1 [39936/47500]	Loss: 1.3996	LR: 0.083333
Training Epoch: 1 [40192/47500]	Loss: 1.4411	LR: 0.083871
Training Epoch: 1 [40448/47500]	Loss: 1.4059	LR: 0.084409
Training Epoch: 1 [40704/47500]	Loss: 1.3863	LR: 0.084946
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Training Epoch: 1 [41728/47500]	Loss: 1.3439	LR: 0.087097
Training Epoch: 1 [41984/47500]	Loss: 1.4455	LR: 0.087634
Training Epoch: 1 [42240/47500]	Loss: 1.3861	LR: 0.088172
Training Epoch: 1 [42496/47500]	Loss: 1.4375	LR: 0.088710
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Training Epoch: 1 [43008/47500]	Loss: 1.4486	LR: 0.089785
Training Epoch: 1 [43264/47500]	Loss: 1.3514	LR: 0.090323
Training Epoch: 1 [43520/47500]	Loss: 1.4249	LR: 0.090860
Training Epoch: 1 [43776/47500]	Loss: 1.3913	LR: 0.091398
Training Epoch: 1 [44032/47500]	Loss: 1.2781	LR: 0.091935
Training Epoch: 1 [44288/47500]	Loss: 1.3719	LR: 0.092473
Training Epoch: 1 [44544/47500]	Loss: 1.4406	LR: 0.093011
Training Epoch: 1 [44800/47500]	Loss: 1.4325	LR: 0.093548
Training Epoch: 1 [45056/47500]	Loss: 1.5065	LR: 0.094086
Training Epoch: 1 [45312/47500]	Loss: 1.4346	LR: 0.094624
Training Epoch: 1 [45568/47500]	Loss: 1.5038	LR: 0.095161
Training Epoch: 1 [45824/47500]	Loss: 1.3475	LR: 0.095699
Training Epoch: 1 [46080/47500]	Loss: 1.2916	LR: 0.096237
Training Epoch: 1 [46336/47500]	Loss: 1.4209	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 1.3263	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 1.3686	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 1.3788	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 1.3136	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 1.4158	LR: 0.099462
Epoch 1 - Average Train Loss: 1.6486, Train Accuracy: 0.3916
Epoch 1 training time consumed: 27.12s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0068, Accuracy: 0.3958, Time consumed:1.09s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_00h_26m_59s/AllCNN-Cifar10-seed3-ret50-1-best.pth
Training Epoch: 2 [256/47500]	Loss: 1.4248	LR: 0.100000
Training Epoch: 2 [512/47500]	Loss: 1.2971	LR: 0.100000
Training Epoch: 2 [768/47500]	Loss: 1.3711	LR: 0.100000
Training Epoch: 2 [1024/47500]	Loss: 1.3331	LR: 0.100000
Training Epoch: 2 [1280/47500]	Loss: 1.2234	LR: 0.100000
Training Epoch: 2 [1536/47500]	Loss: 1.4852	LR: 0.100000
Training Epoch: 2 [1792/47500]	Loss: 1.2610	LR: 0.100000
Training Epoch: 2 [2048/47500]	Loss: 1.3662	LR: 0.100000
Training Epoch: 2 [2304/47500]	Loss: 1.4691	LR: 0.100000
Training Epoch: 2 [2560/47500]	Loss: 1.3498	LR: 0.100000
Training Epoch: 2 [2816/47500]	Loss: 1.3687	LR: 0.100000
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Training Epoch: 2 [3328/47500]	Loss: 1.4361	LR: 0.100000
Training Epoch: 2 [3584/47500]	Loss: 1.3350	LR: 0.100000
Training Epoch: 2 [3840/47500]	Loss: 1.3405	LR: 0.100000
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Training Epoch: 2 [4352/47500]	Loss: 1.3632	LR: 0.100000
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Training Epoch: 2 [47500/47500]	Loss: 1.1103	LR: 0.100000
Epoch 2 - Average Train Loss: 1.1755, Train Accuracy: 0.5733
Epoch 2 training time consumed: 26.32s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0042, Accuracy: 0.6209, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_00h_26m_59s/AllCNN-Cifar10-seed3-ret50-2-best.pth
Training Epoch: 3 [256/47500]	Loss: 0.9751	LR: 0.100000
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Training Epoch: 3 [47500/47500]	Loss: 0.9122	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9661, Train Accuracy: 0.6564
Epoch 3 training time consumed: 26.34s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0052, Accuracy: 0.5931, Time consumed:0.91s
Training Epoch: 4 [256/47500]	Loss: 0.8651	LR: 0.100000
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Training Epoch: 4 [1024/47500]	Loss: 0.9706	LR: 0.100000
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Training Epoch: 4 [1536/47500]	Loss: 0.8104	LR: 0.100000
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Training Epoch: 4 [47500/47500]	Loss: 0.8240	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8646, Train Accuracy: 0.6955
Epoch 4 training time consumed: 26.45s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0040, Accuracy: 0.6690, Time consumed:0.95s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_00h_26m_59s/AllCNN-Cifar10-seed3-ret50-4-best.pth
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Epoch 5 - Average Train Loss: 0.7656, Train Accuracy: 0.7326
Epoch 5 training time consumed: 26.47s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0037, Accuracy: 0.6973, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_00h_26m_59s/AllCNN-Cifar10-seed3-ret50-5-best.pth
Training Epoch: 6 [256/47500]	Loss: 0.7253	LR: 0.100000
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Epoch 6 - Average Train Loss: 0.7023, Train Accuracy: 0.7545
Epoch 6 training time consumed: 26.35s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0028, Accuracy: 0.7638, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_00h_26m_59s/AllCNN-Cifar10-seed3-ret50-6-best.pth
Training Epoch: 7 [256/47500]	Loss: 0.6828	LR: 0.100000
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Training Epoch: 7 [47500/47500]	Loss: 0.5459	LR: 0.100000
Epoch 7 - Average Train Loss: 0.6450, Train Accuracy: 0.7778
Epoch 7 training time consumed: 26.33s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0027, Accuracy: 0.7686, Time consumed:0.94s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_00h_26m_59s/AllCNN-Cifar10-seed3-ret50-7-best.pth
Training Epoch: 8 [256/47500]	Loss: 0.5685	LR: 0.020000
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Training Epoch: 8 [47500/47500]	Loss: 0.4062	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4941, Train Accuracy: 0.8292
Epoch 8 training time consumed: 26.25s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0019, Accuracy: 0.8377, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_00h_26m_59s/AllCNN-Cifar10-seed3-ret50-8-best.pth
Training Epoch: 9 [256/47500]	Loss: 0.4064	LR: 0.020000
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Training Epoch: 9 [47500/47500]	Loss: 0.4853	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4465, Train Accuracy: 0.8456
Epoch 9 training time consumed: 26.30s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0019, Accuracy: 0.8362, Time consumed:0.96s
Training Epoch: 10 [256/47500]	Loss: 0.3361	LR: 0.020000
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Training Epoch: 10 [47500/47500]	Loss: 0.4041	LR: 0.020000
Epoch 10 - Average Train Loss: 0.4251, Train Accuracy: 0.8536
Epoch 10 training time consumed: 26.32s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0019, Accuracy: 0.8428, Time consumed:0.99s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_00h_26m_59s/AllCNN-Cifar10-seed3-ret50-10-best.pth
Training Epoch: 11 [256/47500]	Loss: 0.4188	LR: 0.020000
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Training Epoch: 11 [47360/47500]	Loss: 0.4661	LR: 0.020000
Training Epoch: 11 [47500/47500]	Loss: 0.4850	LR: 0.020000
Epoch 11 - Average Train Loss: 0.4094, Train Accuracy: 0.8573
Epoch 11 training time consumed: 26.32s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0019, Accuracy: 0.8386, Time consumed:0.92s
Training Epoch: 12 [256/47500]	Loss: 0.3327	LR: 0.004000
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Training Epoch: 12 [47360/47500]	Loss: 0.2940	LR: 0.004000
Training Epoch: 12 [47500/47500]	Loss: 0.3814	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3609, Train Accuracy: 0.8753
Epoch 12 training time consumed: 26.33s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0016, Accuracy: 0.8663, Time consumed:0.96s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_00h_26m_59s/AllCNN-Cifar10-seed3-ret50-12-best.pth
Training Epoch: 13 [256/47500]	Loss: 0.3907	LR: 0.004000
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Training Epoch: 13 [47500/47500]	Loss: 0.3024	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3440, Train Accuracy: 0.8829
Epoch 13 training time consumed: 26.33s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0016, Accuracy: 0.8671, Time consumed:0.94s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_00h_26m_59s/AllCNN-Cifar10-seed3-ret50-13-best.pth
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Training Epoch: 14 [47500/47500]	Loss: 0.3990	LR: 0.004000
Epoch 14 - Average Train Loss: 0.3414, Train Accuracy: 0.8831
Epoch 14 training time consumed: 26.28s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0015, Accuracy: 0.8696, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_00h_26m_59s/AllCNN-Cifar10-seed3-ret50-14-best.pth
Training Epoch: 15 [256/47500]	Loss: 0.2774	LR: 0.004000
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Training Epoch: 15 [47500/47500]	Loss: 0.3924	LR: 0.004000
Epoch 15 - Average Train Loss: 0.3341, Train Accuracy: 0.8852
Epoch 15 training time consumed: 26.34s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0015, Accuracy: 0.8721, Time consumed:0.97s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_00h_26m_59s/AllCNN-Cifar10-seed3-ret50-15-best.pth
Training Epoch: 16 [256/47500]	Loss: 0.3396	LR: 0.000800
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Training Epoch: 16 [47500/47500]	Loss: 0.2528	LR: 0.000800
Epoch 16 - Average Train Loss: 0.3209, Train Accuracy: 0.8903
Epoch 16 training time consumed: 26.26s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0015, Accuracy: 0.8768, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_00h_26m_59s/AllCNN-Cifar10-seed3-ret50-16-best.pth
Training Epoch: 17 [256/47500]	Loss: 0.3607	LR: 0.000800
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Training Epoch: 17 [45056/47500]	Loss: 0.2926	LR: 0.000800
Training Epoch: 17 [45312/47500]	Loss: 0.4461	LR: 0.000800
Training Epoch: 17 [45568/47500]	Loss: 0.3717	LR: 0.000800
Training Epoch: 17 [45824/47500]	Loss: 0.3317	LR: 0.000800
Training Epoch: 17 [46080/47500]	Loss: 0.2534	LR: 0.000800
Training Epoch: 17 [46336/47500]	Loss: 0.2850	LR: 0.000800
Training Epoch: 17 [46592/47500]	Loss: 0.2456	LR: 0.000800
Training Epoch: 17 [46848/47500]	Loss: 0.3036	LR: 0.000800
Training Epoch: 17 [47104/47500]	Loss: 0.2803	LR: 0.000800
Training Epoch: 17 [47360/47500]	Loss: 0.2980	LR: 0.000800
Training Epoch: 17 [47500/47500]	Loss: 0.2413	LR: 0.000800
Epoch 17 - Average Train Loss: 0.3195, Train Accuracy: 0.8906
Epoch 17 training time consumed: 26.34s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0015, Accuracy: 0.8747, Time consumed:0.92s
Training Epoch: 18 [256/47500]	Loss: 0.3229	LR: 0.000800
Training Epoch: 18 [512/47500]	Loss: 0.2658	LR: 0.000800
Training Epoch: 18 [768/47500]	Loss: 0.2631	LR: 0.000800
Training Epoch: 18 [1024/47500]	Loss: 0.3521	LR: 0.000800
Training Epoch: 18 [1280/47500]	Loss: 0.3927	LR: 0.000800
Training Epoch: 18 [1536/47500]	Loss: 0.2262	LR: 0.000800
Training Epoch: 18 [1792/47500]	Loss: 0.3084	LR: 0.000800
Training Epoch: 18 [2048/47500]	Loss: 0.3415	LR: 0.000800
Training Epoch: 18 [2304/47500]	Loss: 0.2932	LR: 0.000800
Training Epoch: 18 [2560/47500]	Loss: 0.2494	LR: 0.000800
Training Epoch: 18 [2816/47500]	Loss: 0.2649	LR: 0.000800
Training Epoch: 18 [3072/47500]	Loss: 0.2496	LR: 0.000800
Training Epoch: 18 [3328/47500]	Loss: 0.2950	LR: 0.000800
Training Epoch: 18 [3584/47500]	Loss: 0.2513	LR: 0.000800
Training Epoch: 18 [3840/47500]	Loss: 0.3144	LR: 0.000800
Training Epoch: 18 [4096/47500]	Loss: 0.3650	LR: 0.000800
Training Epoch: 18 [4352/47500]	Loss: 0.3912	LR: 0.000800
Training Epoch: 18 [4608/47500]	Loss: 0.2227	LR: 0.000800
Training Epoch: 18 [4864/47500]	Loss: 0.2943	LR: 0.000800
Training Epoch: 18 [5120/47500]	Loss: 0.2524	LR: 0.000800
Training Epoch: 18 [5376/47500]	Loss: 0.3601	LR: 0.000800
Training Epoch: 18 [5632/47500]	Loss: 0.3196	LR: 0.000800
Training Epoch: 18 [5888/47500]	Loss: 0.3015	LR: 0.000800
Training Epoch: 18 [6144/47500]	Loss: 0.4241	LR: 0.000800
Training Epoch: 18 [6400/47500]	Loss: 0.3968	LR: 0.000800
Training Epoch: 18 [6656/47500]	Loss: 0.2755	LR: 0.000800
Training Epoch: 18 [6912/47500]	Loss: 0.2560	LR: 0.000800
Training Epoch: 18 [7168/47500]	Loss: 0.2851	LR: 0.000800
Training Epoch: 18 [7424/47500]	Loss: 0.3165	LR: 0.000800
Training Epoch: 18 [7680/47500]	Loss: 0.3042	LR: 0.000800
Training Epoch: 18 [7936/47500]	Loss: 0.3790	LR: 0.000800
Training Epoch: 18 [8192/47500]	Loss: 0.3071	LR: 0.000800
Training Epoch: 18 [8448/47500]	Loss: 0.3233	LR: 0.000800
Training Epoch: 18 [8704/47500]	Loss: 0.3478	LR: 0.000800
Training Epoch: 18 [8960/47500]	Loss: 0.3679	LR: 0.000800
Training Epoch: 18 [9216/47500]	Loss: 0.2936	LR: 0.000800
Training Epoch: 18 [9472/47500]	Loss: 0.2878	LR: 0.000800
Training Epoch: 18 [9728/47500]	Loss: 0.3173	LR: 0.000800
Training Epoch: 18 [9984/47500]	Loss: 0.3267	LR: 0.000800
Training Epoch: 18 [10240/47500]	Loss: 0.2649	LR: 0.000800
Training Epoch: 18 [10496/47500]	Loss: 0.2847	LR: 0.000800
Training Epoch: 18 [10752/47500]	Loss: 0.2760	LR: 0.000800
Training Epoch: 18 [11008/47500]	Loss: 0.4060	LR: 0.000800
Training Epoch: 18 [11264/47500]	Loss: 0.2704	LR: 0.000800
Training Epoch: 18 [11520/47500]	Loss: 0.4028	LR: 0.000800
Training Epoch: 18 [11776/47500]	Loss: 0.3198	LR: 0.000800
Training Epoch: 18 [12032/47500]	Loss: 0.3137	LR: 0.000800
Training Epoch: 18 [12288/47500]	Loss: 0.3552	LR: 0.000800
Training Epoch: 18 [12544/47500]	Loss: 0.2782	LR: 0.000800
Training Epoch: 18 [12800/47500]	Loss: 0.3210	LR: 0.000800
Training Epoch: 18 [13056/47500]	Loss: 0.3584	LR: 0.000800
Training Epoch: 18 [13312/47500]	Loss: 0.2906	LR: 0.000800
Training Epoch: 18 [13568/47500]	Loss: 0.3438	LR: 0.000800
Training Epoch: 18 [13824/47500]	Loss: 0.2821	LR: 0.000800
Training Epoch: 18 [14080/47500]	Loss: 0.2860	LR: 0.000800
Training Epoch: 18 [14336/47500]	Loss: 0.3665	LR: 0.000800
Training Epoch: 18 [14592/47500]	Loss: 0.3235	LR: 0.000800
Training Epoch: 18 [14848/47500]	Loss: 0.2768	LR: 0.000800
Training Epoch: 18 [15104/47500]	Loss: 0.2993	LR: 0.000800
Training Epoch: 18 [15360/47500]	Loss: 0.3205	LR: 0.000800
Training Epoch: 18 [15616/47500]	Loss: 0.3280	LR: 0.000800
Training Epoch: 18 [15872/47500]	Loss: 0.2514	LR: 0.000800
Training Epoch: 18 [16128/47500]	Loss: 0.2643	LR: 0.000800
Training Epoch: 18 [16384/47500]	Loss: 0.3193	LR: 0.000800
Training Epoch: 18 [16640/47500]	Loss: 0.3329	LR: 0.000800
Training Epoch: 18 [16896/47500]	Loss: 0.2881	LR: 0.000800
Training Epoch: 18 [17152/47500]	Loss: 0.3088	LR: 0.000800
Training Epoch: 18 [17408/47500]	Loss: 0.3392	LR: 0.000800
Training Epoch: 18 [17664/47500]	Loss: 0.2985	LR: 0.000800
Training Epoch: 18 [17920/47500]	Loss: 0.3239	LR: 0.000800
Training Epoch: 18 [18176/47500]	Loss: 0.2654	LR: 0.000800
Training Epoch: 18 [18432/47500]	Loss: 0.3972	LR: 0.000800
Training Epoch: 18 [18688/47500]	Loss: 0.2731	LR: 0.000800
Training Epoch: 18 [18944/47500]	Loss: 0.3018	LR: 0.000800
Training Epoch: 18 [19200/47500]	Loss: 0.2753	LR: 0.000800
Training Epoch: 18 [19456/47500]	Loss: 0.3192	LR: 0.000800
Training Epoch: 18 [19712/47500]	Loss: 0.3455	LR: 0.000800
Training Epoch: 18 [19968/47500]	Loss: 0.3172	LR: 0.000800
Training Epoch: 18 [20224/47500]	Loss: 0.3215	LR: 0.000800
Training Epoch: 18 [20480/47500]	Loss: 0.2673	LR: 0.000800
Training Epoch: 18 [20736/47500]	Loss: 0.3155	LR: 0.000800
Training Epoch: 18 [20992/47500]	Loss: 0.2982	LR: 0.000800
Training Epoch: 18 [21248/47500]	Loss: 0.3240	LR: 0.000800
Training Epoch: 18 [21504/47500]	Loss: 0.3015	LR: 0.000800
Training Epoch: 18 [21760/47500]	Loss: 0.3381	LR: 0.000800
Training Epoch: 18 [22016/47500]	Loss: 0.3180	LR: 0.000800
Training Epoch: 18 [22272/47500]	Loss: 0.2684	LR: 0.000800
Training Epoch: 18 [22528/47500]	Loss: 0.3535	LR: 0.000800
Training Epoch: 18 [22784/47500]	Loss: 0.3290	LR: 0.000800
Training Epoch: 18 [23040/47500]	Loss: 0.3688	LR: 0.000800
Training Epoch: 18 [23296/47500]	Loss: 0.3410	LR: 0.000800
Training Epoch: 18 [23552/47500]	Loss: 0.2381	LR: 0.000800
Training Epoch: 18 [23808/47500]	Loss: 0.4287	LR: 0.000800
Training Epoch: 18 [24064/47500]	Loss: 0.4026	LR: 0.000800
Training Epoch: 18 [24320/47500]	Loss: 0.3405	LR: 0.000800
Training Epoch: 18 [24576/47500]	Loss: 0.2598	LR: 0.000800
Training Epoch: 18 [24832/47500]	Loss: 0.2731	LR: 0.000800
Training Epoch: 18 [25088/47500]	Loss: 0.3417	LR: 0.000800
Training Epoch: 18 [25344/47500]	Loss: 0.2501	LR: 0.000800
Training Epoch: 18 [25600/47500]	Loss: 0.4094	LR: 0.000800
Training Epoch: 18 [25856/47500]	Loss: 0.3249	LR: 0.000800
Training Epoch: 18 [26112/47500]	Loss: 0.3388	LR: 0.000800
Training Epoch: 18 [26368/47500]	Loss: 0.2948	LR: 0.000800
Training Epoch: 18 [26624/47500]	Loss: 0.3019	LR: 0.000800
Training Epoch: 18 [26880/47500]	Loss: 0.3628	LR: 0.000800
Training Epoch: 18 [27136/47500]	Loss: 0.2932	LR: 0.000800
Training Epoch: 18 [27392/47500]	Loss: 0.3468	LR: 0.000800
Training Epoch: 18 [27648/47500]	Loss: 0.3396	LR: 0.000800
Training Epoch: 18 [27904/47500]	Loss: 0.2887	LR: 0.000800
Training Epoch: 18 [28160/47500]	Loss: 0.3442	LR: 0.000800
Training Epoch: 18 [28416/47500]	Loss: 0.2933	LR: 0.000800
Training Epoch: 18 [28672/47500]	Loss: 0.3107	LR: 0.000800
Training Epoch: 18 [28928/47500]	Loss: 0.2418	LR: 0.000800
Training Epoch: 18 [29184/47500]	Loss: 0.2616	LR: 0.000800
Training Epoch: 18 [29440/47500]	Loss: 0.4112	LR: 0.000800
Training Epoch: 18 [29696/47500]	Loss: 0.2716	LR: 0.000800
Training Epoch: 18 [29952/47500]	Loss: 0.3285	LR: 0.000800
Training Epoch: 18 [30208/47500]	Loss: 0.2777	LR: 0.000800
Training Epoch: 18 [30464/47500]	Loss: 0.4179	LR: 0.000800
Training Epoch: 18 [30720/47500]	Loss: 0.3504	LR: 0.000800
Training Epoch: 18 [30976/47500]	Loss: 0.4197	LR: 0.000800
Training Epoch: 18 [31232/47500]	Loss: 0.3411	LR: 0.000800
Training Epoch: 18 [31488/47500]	Loss: 0.3072	LR: 0.000800
Training Epoch: 18 [31744/47500]	Loss: 0.2748	LR: 0.000800
Training Epoch: 18 [32000/47500]	Loss: 0.2846	LR: 0.000800
Training Epoch: 18 [32256/47500]	Loss: 0.2991	LR: 0.000800
Training Epoch: 18 [32512/47500]	Loss: 0.2491	LR: 0.000800
Training Epoch: 18 [32768/47500]	Loss: 0.2540	LR: 0.000800
Training Epoch: 18 [33024/47500]	Loss: 0.2744	LR: 0.000800
Training Epoch: 18 [33280/47500]	Loss: 0.3020	LR: 0.000800
Training Epoch: 18 [33536/47500]	Loss: 0.3011	LR: 0.000800
Training Epoch: 18 [33792/47500]	Loss: 0.2818	LR: 0.000800
Training Epoch: 18 [34048/47500]	Loss: 0.3240	LR: 0.000800
Training Epoch: 18 [34304/47500]	Loss: 0.2974	LR: 0.000800
Training Epoch: 18 [34560/47500]	Loss: 0.3060	LR: 0.000800
Training Epoch: 18 [34816/47500]	Loss: 0.3152	LR: 0.000800
Training Epoch: 18 [35072/47500]	Loss: 0.3369	LR: 0.000800
Training Epoch: 18 [35328/47500]	Loss: 0.3347	LR: 0.000800
Training Epoch: 18 [35584/47500]	Loss: 0.3252	LR: 0.000800
Training Epoch: 18 [35840/47500]	Loss: 0.3087	LR: 0.000800
Training Epoch: 18 [36096/47500]	Loss: 0.4065	LR: 0.000800
Training Epoch: 18 [36352/47500]	Loss: 0.3945	LR: 0.000800
Training Epoch: 18 [36608/47500]	Loss: 0.2331	LR: 0.000800
Training Epoch: 18 [36864/47500]	Loss: 0.3332	LR: 0.000800
Training Epoch: 18 [37120/47500]	Loss: 0.3294	LR: 0.000800
Training Epoch: 18 [37376/47500]	Loss: 0.3025	LR: 0.000800
Training Epoch: 18 [37632/47500]	Loss: 0.2337	LR: 0.000800
Training Epoch: 18 [37888/47500]	Loss: 0.3381	LR: 0.000800
Training Epoch: 18 [38144/47500]	Loss: 0.2952	LR: 0.000800
Training Epoch: 18 [38400/47500]	Loss: 0.3694	LR: 0.000800
Training Epoch: 18 [38656/47500]	Loss: 0.3697	LR: 0.000800
Training Epoch: 18 [38912/47500]	Loss: 0.3734	LR: 0.000800
Training Epoch: 18 [39168/47500]	Loss: 0.2670	LR: 0.000800
Training Epoch: 18 [39424/47500]	Loss: 0.4483	LR: 0.000800
Training Epoch: 18 [39680/47500]	Loss: 0.4575	LR: 0.000800
Training Epoch: 18 [39936/47500]	Loss: 0.2873	LR: 0.000800
Training Epoch: 18 [40192/47500]	Loss: 0.3448	LR: 0.000800
Training Epoch: 18 [40448/47500]	Loss: 0.2786	LR: 0.000800
Training Epoch: 18 [40704/47500]	Loss: 0.2439	LR: 0.000800
Training Epoch: 18 [40960/47500]	Loss: 0.3472	LR: 0.000800
Training Epoch: 18 [41216/47500]	Loss: 0.3016	LR: 0.000800
Training Epoch: 18 [41472/47500]	Loss: 0.2428	LR: 0.000800
Training Epoch: 18 [41728/47500]	Loss: 0.3001	LR: 0.000800
Training Epoch: 18 [41984/47500]	Loss: 0.2949	LR: 0.000800
Training Epoch: 18 [42240/47500]	Loss: 0.2911	LR: 0.000800
Training Epoch: 18 [42496/47500]	Loss: 0.3073	LR: 0.000800
Training Epoch: 18 [42752/47500]	Loss: 0.2736	LR: 0.000800
Training Epoch: 18 [43008/47500]	Loss: 0.2474	LR: 0.000800
Training Epoch: 18 [43264/47500]	Loss: 0.2998	LR: 0.000800
Training Epoch: 18 [43520/47500]	Loss: 0.2606	LR: 0.000800
Training Epoch: 18 [43776/47500]	Loss: 0.3201	LR: 0.000800
Training Epoch: 18 [44032/47500]	Loss: 0.3771	LR: 0.000800
Training Epoch: 18 [44288/47500]	Loss: 0.2470	LR: 0.000800
Training Epoch: 18 [44544/47500]	Loss: 0.3425	LR: 0.000800
Training Epoch: 18 [44800/47500]	Loss: 0.2852	LR: 0.000800
Training Epoch: 18 [45056/47500]	Loss: 0.3632	LR: 0.000800
Training Epoch: 18 [45312/47500]	Loss: 0.2908	LR: 0.000800
Training Epoch: 18 [45568/47500]	Loss: 0.3553	LR: 0.000800
Training Epoch: 18 [45824/47500]	Loss: 0.3393	LR: 0.000800
Training Epoch: 18 [46080/47500]	Loss: 0.3988	LR: 0.000800
Training Epoch: 18 [46336/47500]	Loss: 0.2937	LR: 0.000800
Training Epoch: 18 [46592/47500]	Loss: 0.2537	LR: 0.000800
Training Epoch: 18 [46848/47500]	Loss: 0.2894	LR: 0.000800
Training Epoch: 18 [47104/47500]	Loss: 0.3138	LR: 0.000800
Training Epoch: 18 [47360/47500]	Loss: 0.2843	LR: 0.000800
Training Epoch: 18 [47500/47500]	Loss: 0.4403	LR: 0.000800
Epoch 18 - Average Train Loss: 0.3147, Train Accuracy: 0.8920
Epoch 18 training time consumed: 26.29s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0015, Accuracy: 0.8759, Time consumed:0.93s
Training Epoch: 19 [256/47500]	Loss: 0.2362	LR: 0.000800
Training Epoch: 19 [512/47500]	Loss: 0.2903	LR: 0.000800
Training Epoch: 19 [768/47500]	Loss: 0.3242	LR: 0.000800
Training Epoch: 19 [1024/47500]	Loss: 0.3145	LR: 0.000800
Training Epoch: 19 [1280/47500]	Loss: 0.3289	LR: 0.000800
Training Epoch: 19 [1536/47500]	Loss: 0.2860	LR: 0.000800
Training Epoch: 19 [1792/47500]	Loss: 0.2935	LR: 0.000800
Training Epoch: 19 [2048/47500]	Loss: 0.3014	LR: 0.000800
Training Epoch: 19 [2304/47500]	Loss: 0.3122	LR: 0.000800
Training Epoch: 19 [2560/47500]	Loss: 0.3300	LR: 0.000800
Training Epoch: 19 [2816/47500]	Loss: 0.3991	LR: 0.000800
Training Epoch: 19 [3072/47500]	Loss: 0.2863	LR: 0.000800
Training Epoch: 19 [3328/47500]	Loss: 0.2659	LR: 0.000800
Training Epoch: 19 [3584/47500]	Loss: 0.3694	LR: 0.000800
Training Epoch: 19 [3840/47500]	Loss: 0.3425	LR: 0.000800
Training Epoch: 19 [4096/47500]	Loss: 0.3523	LR: 0.000800
Training Epoch: 19 [4352/47500]	Loss: 0.3153	LR: 0.000800
Training Epoch: 19 [4608/47500]	Loss: 0.3478	LR: 0.000800
Training Epoch: 19 [4864/47500]	Loss: 0.3805	LR: 0.000800
Training Epoch: 19 [5120/47500]	Loss: 0.3464	LR: 0.000800
Training Epoch: 19 [5376/47500]	Loss: 0.3795	LR: 0.000800
Training Epoch: 19 [5632/47500]	Loss: 0.2817	LR: 0.000800
Training Epoch: 19 [5888/47500]	Loss: 0.3866	LR: 0.000800
Training Epoch: 19 [6144/47500]	Loss: 0.3680	LR: 0.000800
Training Epoch: 19 [6400/47500]	Loss: 0.2950	LR: 0.000800
Training Epoch: 19 [6656/47500]	Loss: 0.3328	LR: 0.000800
Training Epoch: 19 [6912/47500]	Loss: 0.3691	LR: 0.000800
Training Epoch: 19 [7168/47500]	Loss: 0.3259	LR: 0.000800
Training Epoch: 19 [7424/47500]	Loss: 0.3670	LR: 0.000800
Training Epoch: 19 [7680/47500]	Loss: 0.2850	LR: 0.000800
Training Epoch: 19 [7936/47500]	Loss: 0.3237	LR: 0.000800
Training Epoch: 19 [8192/47500]	Loss: 0.2834	LR: 0.000800
Training Epoch: 19 [8448/47500]	Loss: 0.3468	LR: 0.000800
Training Epoch: 19 [8704/47500]	Loss: 0.3085	LR: 0.000800
Training Epoch: 19 [8960/47500]	Loss: 0.3591	LR: 0.000800
Training Epoch: 19 [9216/47500]	Loss: 0.3192	LR: 0.000800
Training Epoch: 19 [9472/47500]	Loss: 0.3406	LR: 0.000800
Training Epoch: 19 [9728/47500]	Loss: 0.3361	LR: 0.000800
Training Epoch: 19 [9984/47500]	Loss: 0.3523	LR: 0.000800
Training Epoch: 19 [10240/47500]	Loss: 0.2679	LR: 0.000800
Training Epoch: 19 [10496/47500]	Loss: 0.2367	LR: 0.000800
Training Epoch: 19 [10752/47500]	Loss: 0.2748	LR: 0.000800
Training Epoch: 19 [11008/47500]	Loss: 0.2811	LR: 0.000800
Training Epoch: 19 [11264/47500]	Loss: 0.3081	LR: 0.000800
Training Epoch: 19 [11520/47500]	Loss: 0.2888	LR: 0.000800
Training Epoch: 19 [11776/47500]	Loss: 0.3140	LR: 0.000800
Training Epoch: 19 [12032/47500]	Loss: 0.2737	LR: 0.000800
Training Epoch: 19 [12288/47500]	Loss: 0.3633	LR: 0.000800
Training Epoch: 19 [12544/47500]	Loss: 0.3007	LR: 0.000800
Training Epoch: 19 [12800/47500]	Loss: 0.2962	LR: 0.000800
Training Epoch: 19 [13056/47500]	Loss: 0.2850	LR: 0.000800
Training Epoch: 19 [13312/47500]	Loss: 0.3542	LR: 0.000800
Training Epoch: 19 [13568/47500]	Loss: 0.3223	LR: 0.000800
Training Epoch: 19 [13824/47500]	Loss: 0.2943	LR: 0.000800
Training Epoch: 19 [14080/47500]	Loss: 0.3020	LR: 0.000800
Training Epoch: 19 [14336/47500]	Loss: 0.3010	LR: 0.000800
Training Epoch: 19 [14592/47500]	Loss: 0.3278	LR: 0.000800
Training Epoch: 19 [14848/47500]	Loss: 0.3069	LR: 0.000800
Training Epoch: 19 [15104/47500]	Loss: 0.2646	LR: 0.000800
Training Epoch: 19 [15360/47500]	Loss: 0.3339	LR: 0.000800
Training Epoch: 19 [15616/47500]	Loss: 0.3057	LR: 0.000800
Training Epoch: 19 [15872/47500]	Loss: 0.3504	LR: 0.000800
Training Epoch: 19 [16128/47500]	Loss: 0.4533	LR: 0.000800
Training Epoch: 19 [16384/47500]	Loss: 0.3699	LR: 0.000800
Training Epoch: 19 [16640/47500]	Loss: 0.2821	LR: 0.000800
Training Epoch: 19 [16896/47500]	Loss: 0.3032	LR: 0.000800
Training Epoch: 19 [17152/47500]	Loss: 0.3091	LR: 0.000800
Training Epoch: 19 [17408/47500]	Loss: 0.3755	LR: 0.000800
Training Epoch: 19 [17664/47500]	Loss: 0.2962	LR: 0.000800
Training Epoch: 19 [17920/47500]	Loss: 0.3163	LR: 0.000800
Training Epoch: 19 [18176/47500]	Loss: 0.3135	LR: 0.000800
Training Epoch: 19 [18432/47500]	Loss: 0.3209	LR: 0.000800
Training Epoch: 19 [18688/47500]	Loss: 0.3038	LR: 0.000800
Training Epoch: 19 [18944/47500]	Loss: 0.2998	LR: 0.000800
Training Epoch: 19 [19200/47500]	Loss: 0.4031	LR: 0.000800
Training Epoch: 19 [19456/47500]	Loss: 0.3312	LR: 0.000800
Training Epoch: 19 [19712/47500]	Loss: 0.3124	LR: 0.000800
Training Epoch: 19 [19968/47500]	Loss: 0.2444	LR: 0.000800
Training Epoch: 19 [20224/47500]	Loss: 0.3937	LR: 0.000800
Training Epoch: 19 [20480/47500]	Loss: 0.3159	LR: 0.000800
Training Epoch: 19 [20736/47500]	Loss: 0.2654	LR: 0.000800
Training Epoch: 19 [20992/47500]	Loss: 0.3626	LR: 0.000800
Training Epoch: 19 [21248/47500]	Loss: 0.3196	LR: 0.000800
Training Epoch: 19 [21504/47500]	Loss: 0.3146	LR: 0.000800
Training Epoch: 19 [21760/47500]	Loss: 0.2669	LR: 0.000800
Training Epoch: 19 [22016/47500]	Loss: 0.3045	LR: 0.000800
Training Epoch: 19 [22272/47500]	Loss: 0.2995	LR: 0.000800
Training Epoch: 19 [22528/47500]	Loss: 0.3467	LR: 0.000800
Training Epoch: 19 [22784/47500]	Loss: 0.3065	LR: 0.000800
Training Epoch: 19 [23040/47500]	Loss: 0.3189	LR: 0.000800
Training Epoch: 19 [23296/47500]	Loss: 0.3470	LR: 0.000800
Training Epoch: 19 [23552/47500]	Loss: 0.3271	LR: 0.000800
Training Epoch: 19 [23808/47500]	Loss: 0.3212	LR: 0.000800
Training Epoch: 19 [24064/47500]	Loss: 0.3399	LR: 0.000800
Training Epoch: 19 [24320/47500]	Loss: 0.2782	LR: 0.000800
Training Epoch: 19 [24576/47500]	Loss: 0.3800	LR: 0.000800
Training Epoch: 19 [24832/47500]	Loss: 0.2757	LR: 0.000800
Training Epoch: 19 [25088/47500]	Loss: 0.2613	LR: 0.000800
Training Epoch: 19 [25344/47500]	Loss: 0.3051	LR: 0.000800
Training Epoch: 19 [25600/47500]	Loss: 0.2553	LR: 0.000800
Training Epoch: 19 [25856/47500]	Loss: 0.3785	LR: 0.000800
Training Epoch: 19 [26112/47500]	Loss: 0.3042	LR: 0.000800
Training Epoch: 19 [26368/47500]	Loss: 0.2789	LR: 0.000800
Training Epoch: 19 [26624/47500]	Loss: 0.3711	LR: 0.000800
Training Epoch: 19 [26880/47500]	Loss: 0.2571	LR: 0.000800
Training Epoch: 19 [27136/47500]	Loss: 0.3715	LR: 0.000800
Training Epoch: 19 [27392/47500]	Loss: 0.2559	LR: 0.000800
Training Epoch: 19 [27648/47500]	Loss: 0.2835	LR: 0.000800
Training Epoch: 19 [27904/47500]	Loss: 0.3638	LR: 0.000800
Training Epoch: 19 [28160/47500]	Loss: 0.2632	LR: 0.000800
Training Epoch: 19 [28416/47500]	Loss: 0.2825	LR: 0.000800
Training Epoch: 19 [28672/47500]	Loss: 0.2524	LR: 0.000800
Training Epoch: 19 [28928/47500]	Loss: 0.2601	LR: 0.000800
Training Epoch: 19 [29184/47500]	Loss: 0.3324	LR: 0.000800
Training Epoch: 19 [29440/47500]	Loss: 0.3205	LR: 0.000800
Training Epoch: 19 [29696/47500]	Loss: 0.2685	LR: 0.000800
Training Epoch: 19 [29952/47500]	Loss: 0.3482	LR: 0.000800
Training Epoch: 19 [30208/47500]	Loss: 0.3885	LR: 0.000800
Training Epoch: 19 [30464/47500]	Loss: 0.3463	LR: 0.000800
Training Epoch: 19 [30720/47500]	Loss: 0.3201	LR: 0.000800
Training Epoch: 19 [30976/47500]	Loss: 0.3701	LR: 0.000800
Training Epoch: 19 [31232/47500]	Loss: 0.4060	LR: 0.000800
Training Epoch: 19 [31488/47500]	Loss: 0.3072	LR: 0.000800
Training Epoch: 19 [31744/47500]	Loss: 0.3364	LR: 0.000800
Training Epoch: 19 [32000/47500]	Loss: 0.3245	LR: 0.000800
Training Epoch: 19 [32256/47500]	Loss: 0.2997	LR: 0.000800
Training Epoch: 19 [32512/47500]	Loss: 0.2510	LR: 0.000800
Training Epoch: 19 [32768/47500]	Loss: 0.2784	LR: 0.000800
Training Epoch: 19 [33024/47500]	Loss: 0.3903	LR: 0.000800
Training Epoch: 19 [33280/47500]	Loss: 0.3011	LR: 0.000800
Training Epoch: 19 [33536/47500]	Loss: 0.2912	LR: 0.000800
Training Epoch: 19 [33792/47500]	Loss: 0.3896	LR: 0.000800
Training Epoch: 19 [34048/47500]	Loss: 0.3354	LR: 0.000800
Training Epoch: 19 [34304/47500]	Loss: 0.3793	LR: 0.000800
Training Epoch: 19 [34560/47500]	Loss: 0.2375	LR: 0.000800
Training Epoch: 19 [34816/47500]	Loss: 0.3248	LR: 0.000800
Training Epoch: 19 [35072/47500]	Loss: 0.2983	LR: 0.000800
Training Epoch: 19 [35328/47500]	Loss: 0.3074	LR: 0.000800
Training Epoch: 19 [35584/47500]	Loss: 0.3222	LR: 0.000800
Training Epoch: 19 [35840/47500]	Loss: 0.2877	LR: 0.000800
Training Epoch: 19 [36096/47500]	Loss: 0.2697	LR: 0.000800
Training Epoch: 19 [36352/47500]	Loss: 0.3225	LR: 0.000800
Training Epoch: 19 [36608/47500]	Loss: 0.3013	LR: 0.000800
Training Epoch: 19 [36864/47500]	Loss: 0.3233	LR: 0.000800
Training Epoch: 19 [37120/47500]	Loss: 0.2947	LR: 0.000800
Training Epoch: 19 [37376/47500]	Loss: 0.2858	LR: 0.000800
Training Epoch: 19 [37632/47500]	Loss: 0.3179	LR: 0.000800
Training Epoch: 19 [37888/47500]	Loss: 0.3520	LR: 0.000800
Training Epoch: 19 [38144/47500]	Loss: 0.3132	LR: 0.000800
Training Epoch: 19 [38400/47500]	Loss: 0.2952	LR: 0.000800
Training Epoch: 19 [38656/47500]	Loss: 0.2881	LR: 0.000800
Training Epoch: 19 [38912/47500]	Loss: 0.2512	LR: 0.000800
Training Epoch: 19 [39168/47500]	Loss: 0.3278	LR: 0.000800
Training Epoch: 19 [39424/47500]	Loss: 0.3355	LR: 0.000800
Training Epoch: 19 [39680/47500]	Loss: 0.2715	LR: 0.000800
Training Epoch: 19 [39936/47500]	Loss: 0.2793	LR: 0.000800
Training Epoch: 19 [40192/47500]	Loss: 0.2448	LR: 0.000800
Training Epoch: 19 [40448/47500]	Loss: 0.3085	LR: 0.000800
Training Epoch: 19 [40704/47500]	Loss: 0.2740	LR: 0.000800
Training Epoch: 19 [40960/47500]	Loss: 0.3060	LR: 0.000800
Training Epoch: 19 [41216/47500]	Loss: 0.3735	LR: 0.000800
Training Epoch: 19 [41472/47500]	Loss: 0.4378	LR: 0.000800
Training Epoch: 19 [41728/47500]	Loss: 0.2908	LR: 0.000800
Training Epoch: 19 [41984/47500]	Loss: 0.3184	LR: 0.000800
Training Epoch: 19 [42240/47500]	Loss: 0.3024	LR: 0.000800
Training Epoch: 19 [42496/47500]	Loss: 0.3294	LR: 0.000800
Training Epoch: 19 [42752/47500]	Loss: 0.3673	LR: 0.000800
Training Epoch: 19 [43008/47500]	Loss: 0.3079	LR: 0.000800
Training Epoch: 19 [43264/47500]	Loss: 0.3419	LR: 0.000800
Training Epoch: 19 [43520/47500]	Loss: 0.3555	LR: 0.000800
Training Epoch: 19 [43776/47500]	Loss: 0.2461	LR: 0.000800
Training Epoch: 19 [44032/47500]	Loss: 0.3082	LR: 0.000800
Training Epoch: 19 [44288/47500]	Loss: 0.3479	LR: 0.000800
Training Epoch: 19 [44544/47500]	Loss: 0.2740	LR: 0.000800
Training Epoch: 19 [44800/47500]	Loss: 0.3250	LR: 0.000800
Training Epoch: 19 [45056/47500]	Loss: 0.3069	LR: 0.000800
Training Epoch: 19 [45312/47500]	Loss: 0.3463	LR: 0.000800
Training Epoch: 19 [45568/47500]	Loss: 0.2792	LR: 0.000800
Training Epoch: 19 [45824/47500]	Loss: 0.3203	LR: 0.000800
Training Epoch: 19 [46080/47500]	Loss: 0.2944	LR: 0.000800
Training Epoch: 19 [46336/47500]	Loss: 0.3352	LR: 0.000800
Training Epoch: 19 [46592/47500]	Loss: 0.3352	LR: 0.000800
Training Epoch: 19 [46848/47500]	Loss: 0.3659	LR: 0.000800
Training Epoch: 19 [47104/47500]	Loss: 0.3550	LR: 0.000800
Training Epoch: 19 [47360/47500]	Loss: 0.3239	LR: 0.000800
Training Epoch: 19 [47500/47500]	Loss: 0.3548	LR: 0.000800
Epoch 19 - Average Train Loss: 0.3175, Train Accuracy: 0.8916
Epoch 19 training time consumed: 26.61s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0015, Accuracy: 0.8750, Time consumed:0.91s
Training Epoch: 20 [256/47500]	Loss: 0.3022	LR: 0.000800
Training Epoch: 20 [512/47500]	Loss: 0.2750	LR: 0.000800
Training Epoch: 20 [768/47500]	Loss: 0.3341	LR: 0.000800
Training Epoch: 20 [1024/47500]	Loss: 0.3293	LR: 0.000800
Training Epoch: 20 [1280/47500]	Loss: 0.3764	LR: 0.000800
Training Epoch: 20 [1536/47500]	Loss: 0.4157	LR: 0.000800
Training Epoch: 20 [1792/47500]	Loss: 0.3551	LR: 0.000800
Training Epoch: 20 [2048/47500]	Loss: 0.2966	LR: 0.000800
Training Epoch: 20 [2304/47500]	Loss: 0.2598	LR: 0.000800
Training Epoch: 20 [2560/47500]	Loss: 0.3191	LR: 0.000800
Training Epoch: 20 [2816/47500]	Loss: 0.3609	LR: 0.000800
Training Epoch: 20 [3072/47500]	Loss: 0.3404	LR: 0.000800
Training Epoch: 20 [3328/47500]	Loss: 0.3151	LR: 0.000800
Training Epoch: 20 [3584/47500]	Loss: 0.3050	LR: 0.000800
Training Epoch: 20 [3840/47500]	Loss: 0.3829	LR: 0.000800
Training Epoch: 20 [4096/47500]	Loss: 0.3589	LR: 0.000800
Training Epoch: 20 [4352/47500]	Loss: 0.3512	LR: 0.000800
Training Epoch: 20 [4608/47500]	Loss: 0.3316	LR: 0.000800
Training Epoch: 20 [4864/47500]	Loss: 0.3004	LR: 0.000800
Training Epoch: 20 [5120/47500]	Loss: 0.3462	LR: 0.000800
Training Epoch: 20 [5376/47500]	Loss: 0.2908	LR: 0.000800
Training Epoch: 20 [5632/47500]	Loss: 0.3881	LR: 0.000800
Training Epoch: 20 [5888/47500]	Loss: 0.2607	LR: 0.000800
Training Epoch: 20 [6144/47500]	Loss: 0.2954	LR: 0.000800
Training Epoch: 20 [6400/47500]	Loss: 0.3289	LR: 0.000800
Training Epoch: 20 [6656/47500]	Loss: 0.3965	LR: 0.000800
Training Epoch: 20 [6912/47500]	Loss: 0.3332	LR: 0.000800
Training Epoch: 20 [7168/47500]	Loss: 0.3182	LR: 0.000800
Training Epoch: 20 [7424/47500]	Loss: 0.3305	LR: 0.000800
Training Epoch: 20 [7680/47500]	Loss: 0.2696	LR: 0.000800
Training Epoch: 20 [7936/47500]	Loss: 0.3050	LR: 0.000800
Training Epoch: 20 [8192/47500]	Loss: 0.2923	LR: 0.000800
Training Epoch: 20 [8448/47500]	Loss: 0.3178	LR: 0.000800
Training Epoch: 20 [8704/47500]	Loss: 0.3049	LR: 0.000800
Training Epoch: 20 [8960/47500]	Loss: 0.2814	LR: 0.000800
Training Epoch: 20 [9216/47500]	Loss: 0.2834	LR: 0.000800
Training Epoch: 20 [9472/47500]	Loss: 0.2985	LR: 0.000800
Training Epoch: 20 [9728/47500]	Loss: 0.3354	LR: 0.000800
Training Epoch: 20 [9984/47500]	Loss: 0.3167	LR: 0.000800
Training Epoch: 20 [10240/47500]	Loss: 0.3844	LR: 0.000800
Training Epoch: 20 [10496/47500]	Loss: 0.3084	LR: 0.000800
Training Epoch: 20 [10752/47500]	Loss: 0.3725	LR: 0.000800
Training Epoch: 20 [11008/47500]	Loss: 0.3164	LR: 0.000800
Training Epoch: 20 [11264/47500]	Loss: 0.3235	LR: 0.000800
Training Epoch: 20 [11520/47500]	Loss: 0.2925	LR: 0.000800
Training Epoch: 20 [11776/47500]	Loss: 0.2880	LR: 0.000800
Training Epoch: 20 [12032/47500]	Loss: 0.3129	LR: 0.000800
Training Epoch: 20 [12288/47500]	Loss: 0.3242	LR: 0.000800
Training Epoch: 20 [12544/47500]	Loss: 0.4221	LR: 0.000800
Training Epoch: 20 [12800/47500]	Loss: 0.2420	LR: 0.000800
Training Epoch: 20 [13056/47500]	Loss: 0.4555	LR: 0.000800
Training Epoch: 20 [13312/47500]	Loss: 0.2466	LR: 0.000800
Training Epoch: 20 [13568/47500]	Loss: 0.3346	LR: 0.000800
Training Epoch: 20 [13824/47500]	Loss: 0.2541	LR: 0.000800
Training Epoch: 20 [14080/47500]	Loss: 0.3051	LR: 0.000800
Training Epoch: 20 [14336/47500]	Loss: 0.2889	LR: 0.000800
Training Epoch: 20 [14592/47500]	Loss: 0.2720	LR: 0.000800
Training Epoch: 20 [14848/47500]	Loss: 0.3296	LR: 0.000800
Training Epoch: 20 [15104/47500]	Loss: 0.3077	LR: 0.000800
Training Epoch: 20 [15360/47500]	Loss: 0.2871	LR: 0.000800
Training Epoch: 20 [15616/47500]	Loss: 0.3018	LR: 0.000800
Training Epoch: 20 [15872/47500]	Loss: 0.2807	LR: 0.000800
Training Epoch: 20 [16128/47500]	Loss: 0.3297	LR: 0.000800
Training Epoch: 20 [16384/47500]	Loss: 0.3428	LR: 0.000800
Training Epoch: 20 [16640/47500]	Loss: 0.3529	LR: 0.000800
Training Epoch: 20 [16896/47500]	Loss: 0.2130	LR: 0.000800
Training Epoch: 20 [17152/47500]	Loss: 0.2944	LR: 0.000800
Training Epoch: 20 [17408/47500]	Loss: 0.3475	LR: 0.000800
Training Epoch: 20 [17664/47500]	Loss: 0.3653	LR: 0.000800
Training Epoch: 20 [17920/47500]	Loss: 0.3580	LR: 0.000800
Training Epoch: 20 [18176/47500]	Loss: 0.2641	LR: 0.000800
Training Epoch: 20 [18432/47500]	Loss: 0.2856	LR: 0.000800
Training Epoch: 20 [18688/47500]	Loss: 0.3950	LR: 0.000800
Training Epoch: 20 [18944/47500]	Loss: 0.2824	LR: 0.000800
Training Epoch: 20 [19200/47500]	Loss: 0.3224	LR: 0.000800
Training Epoch: 20 [19456/47500]	Loss: 0.3324	LR: 0.000800
Training Epoch: 20 [19712/47500]	Loss: 0.3542	LR: 0.000800
Training Epoch: 20 [19968/47500]	Loss: 0.2806	LR: 0.000800
Training Epoch: 20 [20224/47500]	Loss: 0.3041	LR: 0.000800
Training Epoch: 20 [20480/47500]	Loss: 0.2687	LR: 0.000800
Training Epoch: 20 [20736/47500]	Loss: 0.3423	LR: 0.000800
Training Epoch: 20 [20992/47500]	Loss: 0.4473	LR: 0.000800
Training Epoch: 20 [21248/47500]	Loss: 0.3262	LR: 0.000800
Training Epoch: 20 [21504/47500]	Loss: 0.3356	LR: 0.000800
Training Epoch: 20 [21760/47500]	Loss: 0.2691	LR: 0.000800
Training Epoch: 20 [22016/47500]	Loss: 0.2583	LR: 0.000800
Training Epoch: 20 [22272/47500]	Loss: 0.3898	LR: 0.000800
Training Epoch: 20 [22528/47500]	Loss: 0.3839	LR: 0.000800
Training Epoch: 20 [22784/47500]	Loss: 0.2363	LR: 0.000800
Training Epoch: 20 [23040/47500]	Loss: 0.2201	LR: 0.000800
Training Epoch: 20 [23296/47500]	Loss: 0.2401	LR: 0.000800
Training Epoch: 20 [23552/47500]	Loss: 0.2431	LR: 0.000800
Training Epoch: 20 [23808/47500]	Loss: 0.3389	LR: 0.000800
Training Epoch: 20 [24064/47500]	Loss: 0.3098	LR: 0.000800
Training Epoch: 20 [24320/47500]	Loss: 0.3135	LR: 0.000800
Training Epoch: 20 [24576/47500]	Loss: 0.3269	LR: 0.000800
Training Epoch: 20 [24832/47500]	Loss: 0.4165	LR: 0.000800
Training Epoch: 20 [25088/47500]	Loss: 0.3174	LR: 0.000800
Training Epoch: 20 [25344/47500]	Loss: 0.3013	LR: 0.000800
Training Epoch: 20 [25600/47500]	Loss: 0.2828	LR: 0.000800
Training Epoch: 20 [25856/47500]	Loss: 0.2217	LR: 0.000800
Training Epoch: 20 [26112/47500]	Loss: 0.3343	LR: 0.000800
Training Epoch: 20 [26368/47500]	Loss: 0.3111	LR: 0.000800
Training Epoch: 20 [26624/47500]	Loss: 0.3187	LR: 0.000800
Training Epoch: 20 [26880/47500]	Loss: 0.3597	LR: 0.000800
Training Epoch: 20 [27136/47500]	Loss: 0.3110	LR: 0.000800
Training Epoch: 20 [27392/47500]	Loss: 0.3302	LR: 0.000800
Training Epoch: 20 [27648/47500]	Loss: 0.3226	LR: 0.000800
Training Epoch: 20 [27904/47500]	Loss: 0.3188	LR: 0.000800
Training Epoch: 20 [28160/47500]	Loss: 0.2602	LR: 0.000800
Training Epoch: 20 [28416/47500]	Loss: 0.2432	LR: 0.000800
Training Epoch: 20 [28672/47500]	Loss: 0.3389	LR: 0.000800
Training Epoch: 20 [28928/47500]	Loss: 0.2809	LR: 0.000800
Training Epoch: 20 [29184/47500]	Loss: 0.3556	LR: 0.000800
Training Epoch: 20 [29440/47500]	Loss: 0.2769	LR: 0.000800
Training Epoch: 20 [29696/47500]	Loss: 0.2879	LR: 0.000800
Training Epoch: 20 [29952/47500]	Loss: 0.3029	LR: 0.000800
Training Epoch: 20 [30208/47500]	Loss: 0.3684	LR: 0.000800
Training Epoch: 20 [30464/47500]	Loss: 0.3328	LR: 0.000800
Training Epoch: 20 [30720/47500]	Loss: 0.2564	LR: 0.000800
Training Epoch: 20 [30976/47500]	Loss: 0.3858	LR: 0.000800
Training Epoch: 20 [31232/47500]	Loss: 0.2223	LR: 0.000800
Training Epoch: 20 [31488/47500]	Loss: 0.2934	LR: 0.000800
Training Epoch: 20 [31744/47500]	Loss: 0.3297	LR: 0.000800
Training Epoch: 20 [32000/47500]	Loss: 0.3136	LR: 0.000800
Training Epoch: 20 [32256/47500]	Loss: 0.3200	LR: 0.000800
Training Epoch: 20 [32512/47500]	Loss: 0.3058	LR: 0.000800
Training Epoch: 20 [32768/47500]	Loss: 0.2847	LR: 0.000800
Training Epoch: 20 [33024/47500]	Loss: 0.2690	LR: 0.000800
Training Epoch: 20 [33280/47500]	Loss: 0.2777	LR: 0.000800
Training Epoch: 20 [33536/47500]	Loss: 0.2615	LR: 0.000800
Training Epoch: 20 [33792/47500]	Loss: 0.3387	LR: 0.000800
Training Epoch: 20 [34048/47500]	Loss: 0.3204	LR: 0.000800
Training Epoch: 20 [34304/47500]	Loss: 0.3667	LR: 0.000800
Training Epoch: 20 [34560/47500]	Loss: 0.3371	LR: 0.000800
Training Epoch: 20 [34816/47500]	Loss: 0.3417	LR: 0.000800
Training Epoch: 20 [35072/47500]	Loss: 0.3749	LR: 0.000800
Training Epoch: 20 [35328/47500]	Loss: 0.3316	LR: 0.000800
Training Epoch: 20 [35584/47500]	Loss: 0.3785	LR: 0.000800
Training Epoch: 20 [35840/47500]	Loss: 0.3233	LR: 0.000800
Training Epoch: 20 [36096/47500]	Loss: 0.2432	LR: 0.000800
Training Epoch: 20 [36352/47500]	Loss: 0.2930	LR: 0.000800
Training Epoch: 20 [36608/47500]	Loss: 0.3587	LR: 0.000800
Training Epoch: 20 [36864/47500]	Loss: 0.2605	LR: 0.000800
Training Epoch: 20 [37120/47500]	Loss: 0.2894	LR: 0.000800
Training Epoch: 20 [37376/47500]	Loss: 0.2615	LR: 0.000800
Training Epoch: 20 [37632/47500]	Loss: 0.3875	LR: 0.000800
Training Epoch: 20 [37888/47500]	Loss: 0.3280	LR: 0.000800
Training Epoch: 20 [38144/47500]	Loss: 0.2836	LR: 0.000800
Training Epoch: 20 [38400/47500]	Loss: 0.3928	LR: 0.000800
Training Epoch: 20 [38656/47500]	Loss: 0.2502	LR: 0.000800
Training Epoch: 20 [38912/47500]	Loss: 0.2637	LR: 0.000800
Training Epoch: 20 [39168/47500]	Loss: 0.2864	LR: 0.000800
Training Epoch: 20 [39424/47500]	Loss: 0.2952	LR: 0.000800
Training Epoch: 20 [39680/47500]	Loss: 0.3001	LR: 0.000800
Training Epoch: 20 [39936/47500]	Loss: 0.3321	LR: 0.000800
Training Epoch: 20 [40192/47500]	Loss: 0.3695	LR: 0.000800
Training Epoch: 20 [40448/47500]	Loss: 0.3167	LR: 0.000800
Training Epoch: 20 [40704/47500]	Loss: 0.3165	LR: 0.000800
Training Epoch: 20 [40960/47500]	Loss: 0.2816	LR: 0.000800
Training Epoch: 20 [41216/47500]	Loss: 0.3620	LR: 0.000800
Training Epoch: 20 [41472/47500]	Loss: 0.3267	LR: 0.000800
Training Epoch: 20 [41728/47500]	Loss: 0.2584	LR: 0.000800
Training Epoch: 20 [41984/47500]	Loss: 0.2510	LR: 0.000800
Training Epoch: 20 [42240/47500]	Loss: 0.2871	LR: 0.000800
Training Epoch: 20 [42496/47500]	Loss: 0.3150	LR: 0.000800
Training Epoch: 20 [42752/47500]	Loss: 0.3789	LR: 0.000800
Training Epoch: 20 [43008/47500]	Loss: 0.3288	LR: 0.000800
Training Epoch: 20 [43264/47500]	Loss: 0.2972	LR: 0.000800
Training Epoch: 20 [43520/47500]	Loss: 0.3370	LR: 0.000800
Training Epoch: 20 [43776/47500]	Loss: 0.2326	LR: 0.000800
Training Epoch: 20 [44032/47500]	Loss: 0.3321	LR: 0.000800
Training Epoch: 20 [44288/47500]	Loss: 0.2650	LR: 0.000800
Training Epoch: 20 [44544/47500]	Loss: 0.2431	LR: 0.000800
Training Epoch: 20 [44800/47500]	Loss: 0.3087	LR: 0.000800
Training Epoch: 20 [45056/47500]	Loss: 0.3594	LR: 0.000800
Training Epoch: 20 [45312/47500]	Loss: 0.3162	LR: 0.000800
Training Epoch: 20 [45568/47500]	Loss: 0.3164	LR: 0.000800
Training Epoch: 20 [45824/47500]	Loss: 0.2545	LR: 0.000800
Training Epoch: 20 [46080/47500]	Loss: 0.3022	LR: 0.000800
Training Epoch: 20 [46336/47500]	Loss: 0.2638	LR: 0.000800
Training Epoch: 20 [46592/47500]	Loss: 0.2823	LR: 0.000800
Training Epoch: 20 [46848/47500]	Loss: 0.3538	LR: 0.000800
Training Epoch: 20 [47104/47500]	Loss: 0.3063	LR: 0.000800
Training Epoch: 20 [47360/47500]	Loss: 0.2982	LR: 0.000800
Training Epoch: 20 [47500/47500]	Loss: 0.2447	LR: 0.000800
Epoch 20 - Average Train Loss: 0.3135, Train Accuracy: 0.8931
Epoch 20 training time consumed: 26.41s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0015, Accuracy: 0.8753, Time consumed:0.88s
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: 87.529296875
Retain Accuracy: 89.69523620605469
Zero-Retain Forget (ZRF): 0.8579534292221069
Membership Inference Attack (MIA): 0.416
Forget vs Retain Membership Inference Attack (MIA): 0.496
Forget vs Test Membership Inference Attack (MIA): 0.543
Test vs Retain Membership Inference Attack (MIA): 0.49775
Train vs Test Membership Inference Attack (MIA): 0.51475
Forget Set Accuracy (Df): 87.78938293457031
Method Execution Time: 1047.17 seconds
