hello
hello

📌 Retain class distribution for seed 5:
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 5:
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: 2.3584	LR: 0.000000
Training Epoch: 1 [512/47500]	Loss: 2.3593	LR: 0.000538
Training Epoch: 1 [768/47500]	Loss: 2.3589	LR: 0.001075
Training Epoch: 1 [1024/47500]	Loss: 2.3606	LR: 0.001613
Training Epoch: 1 [1280/47500]	Loss: 2.3187	LR: 0.002151
Training Epoch: 1 [1536/47500]	Loss: 2.2687	LR: 0.002688
Training Epoch: 1 [1792/47500]	Loss: 2.2474	LR: 0.003226
Training Epoch: 1 [2048/47500]	Loss: 2.1890	LR: 0.003763
Training Epoch: 1 [2304/47500]	Loss: 2.2499	LR: 0.004301
Training Epoch: 1 [2560/47500]	Loss: 2.2444	LR: 0.004839
Training Epoch: 1 [2816/47500]	Loss: 2.1133	LR: 0.005376
Training Epoch: 1 [3072/47500]	Loss: 2.1886	LR: 0.005914
Training Epoch: 1 [3328/47500]	Loss: 2.0196	LR: 0.006452
Training Epoch: 1 [3584/47500]	Loss: 2.0331	LR: 0.006989
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Training Epoch: 1 [9472/47500]	Loss: 1.8849	LR: 0.019355
Training Epoch: 1 [9728/47500]	Loss: 1.7858	LR: 0.019892
Training Epoch: 1 [9984/47500]	Loss: 1.6958	LR: 0.020430
Training Epoch: 1 [10240/47500]	Loss: 1.8553	LR: 0.020968
Training Epoch: 1 [10496/47500]	Loss: 1.7580	LR: 0.021505
Training Epoch: 1 [10752/47500]	Loss: 1.6834	LR: 0.022043
Training Epoch: 1 [11008/47500]	Loss: 1.7217	LR: 0.022581
Training Epoch: 1 [11264/47500]	Loss: 1.7686	LR: 0.023118
Training Epoch: 1 [11520/47500]	Loss: 1.7163	LR: 0.023656
Training Epoch: 1 [11776/47500]	Loss: 2.0245	LR: 0.024194
Training Epoch: 1 [12032/47500]	Loss: 1.7423	LR: 0.024731
Training Epoch: 1 [12288/47500]	Loss: 1.8126	LR: 0.025269
Training Epoch: 1 [12544/47500]	Loss: 1.8171	LR: 0.025806
Training Epoch: 1 [12800/47500]	Loss: 1.6563	LR: 0.026344
Training Epoch: 1 [13056/47500]	Loss: 1.7241	LR: 0.026882
Training Epoch: 1 [13312/47500]	Loss: 1.5661	LR: 0.027419
Training Epoch: 1 [13568/47500]	Loss: 1.7680	LR: 0.027957
Training Epoch: 1 [13824/47500]	Loss: 1.6188	LR: 0.028495
Training Epoch: 1 [14080/47500]	Loss: 1.8156	LR: 0.029032
Training Epoch: 1 [14336/47500]	Loss: 1.8644	LR: 0.029570
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Training Epoch: 1 [15616/47500]	Loss: 1.7550	LR: 0.032258
Training Epoch: 1 [15872/47500]	Loss: 1.7519	LR: 0.032796
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Training Epoch: 1 [16384/47500]	Loss: 1.8283	LR: 0.033871
Training Epoch: 1 [16640/47500]	Loss: 1.7586	LR: 0.034409
Training Epoch: 1 [16896/47500]	Loss: 1.8298	LR: 0.034946
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Training Epoch: 1 [17664/47500]	Loss: 1.6991	LR: 0.036559
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Training Epoch: 1 [18432/47500]	Loss: 1.7701	LR: 0.038172
Training Epoch: 1 [18688/47500]	Loss: 1.8265	LR: 0.038710
Training Epoch: 1 [18944/47500]	Loss: 1.7178	LR: 0.039247
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Training Epoch: 1 [20224/47500]	Loss: 1.7885	LR: 0.041935
Training Epoch: 1 [20480/47500]	Loss: 1.7339	LR: 0.042473
Training Epoch: 1 [20736/47500]	Loss: 1.7944	LR: 0.043011
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Training Epoch: 1 [21760/47500]	Loss: 1.5337	LR: 0.045161
Training Epoch: 1 [22016/47500]	Loss: 1.6332	LR: 0.045699
Training Epoch: 1 [22272/47500]	Loss: 1.6476	LR: 0.046237
Training Epoch: 1 [22528/47500]	Loss: 1.6841	LR: 0.046774
Training Epoch: 1 [22784/47500]	Loss: 1.4879	LR: 0.047312
Training Epoch: 1 [23040/47500]	Loss: 1.4889	LR: 0.047849
Training Epoch: 1 [23296/47500]	Loss: 1.7292	LR: 0.048387
Training Epoch: 1 [23552/47500]	Loss: 1.6491	LR: 0.048925
Training Epoch: 1 [23808/47500]	Loss: 1.8329	LR: 0.049462
Training Epoch: 1 [24064/47500]	Loss: 1.5238	LR: 0.050000
Training Epoch: 1 [24320/47500]	Loss: 1.5349	LR: 0.050538
Training Epoch: 1 [24576/47500]	Loss: 1.5774	LR: 0.051075
Training Epoch: 1 [24832/47500]	Loss: 1.5841	LR: 0.051613
Training Epoch: 1 [25088/47500]	Loss: 1.5039	LR: 0.052151
Training Epoch: 1 [25344/47500]	Loss: 1.7039	LR: 0.052688
Training Epoch: 1 [25600/47500]	Loss: 1.5470	LR: 0.053226
Training Epoch: 1 [25856/47500]	Loss: 1.7996	LR: 0.053763
Training Epoch: 1 [26112/47500]	Loss: 1.4852	LR: 0.054301
Training Epoch: 1 [26368/47500]	Loss: 1.8022	LR: 0.054839
Training Epoch: 1 [26624/47500]	Loss: 1.5439	LR: 0.055376
Training Epoch: 1 [26880/47500]	Loss: 1.4810	LR: 0.055914
Training Epoch: 1 [27136/47500]	Loss: 1.6944	LR: 0.056452
Training Epoch: 1 [27392/47500]	Loss: 1.6099	LR: 0.056989
Training Epoch: 1 [27648/47500]	Loss: 1.6108	LR: 0.057527
Training Epoch: 1 [27904/47500]	Loss: 1.6336	LR: 0.058065
Training Epoch: 1 [28160/47500]	Loss: 1.7309	LR: 0.058602
Training Epoch: 1 [28416/47500]	Loss: 1.6836	LR: 0.059140
Training Epoch: 1 [28672/47500]	Loss: 1.6113	LR: 0.059677
Training Epoch: 1 [28928/47500]	Loss: 1.5719	LR: 0.060215
Training Epoch: 1 [29184/47500]	Loss: 1.5834	LR: 0.060753
Training Epoch: 1 [29440/47500]	Loss: 1.6706	LR: 0.061290
Training Epoch: 1 [29696/47500]	Loss: 1.4202	LR: 0.061828
Training Epoch: 1 [29952/47500]	Loss: 1.5185	LR: 0.062366
Training Epoch: 1 [30208/47500]	Loss: 1.4255	LR: 0.062903
Training Epoch: 1 [30464/47500]	Loss: 1.4257	LR: 0.063441
Training Epoch: 1 [30720/47500]	Loss: 1.5470	LR: 0.063978
Training Epoch: 1 [30976/47500]	Loss: 1.6581	LR: 0.064516
Training Epoch: 1 [31232/47500]	Loss: 1.4960	LR: 0.065054
Training Epoch: 1 [31488/47500]	Loss: 1.7573	LR: 0.065591
Training Epoch: 1 [31744/47500]	Loss: 1.4863	LR: 0.066129
Training Epoch: 1 [32000/47500]	Loss: 1.6013	LR: 0.066667
Training Epoch: 1 [32256/47500]	Loss: 1.7253	LR: 0.067204
Training Epoch: 1 [32512/47500]	Loss: 1.5512	LR: 0.067742
Training Epoch: 1 [32768/47500]	Loss: 1.5760	LR: 0.068280
Training Epoch: 1 [33024/47500]	Loss: 1.5544	LR: 0.068817
Training Epoch: 1 [33280/47500]	Loss: 1.5813	LR: 0.069355
Training Epoch: 1 [33536/47500]	Loss: 1.5652	LR: 0.069892
Training Epoch: 1 [33792/47500]	Loss: 1.5163	LR: 0.070430
Training Epoch: 1 [34048/47500]	Loss: 1.6665	LR: 0.070968
Training Epoch: 1 [34304/47500]	Loss: 1.5259	LR: 0.071505
Training Epoch: 1 [34560/47500]	Loss: 1.6111	LR: 0.072043
Training Epoch: 1 [34816/47500]	Loss: 1.5586	LR: 0.072581
Training Epoch: 1 [35072/47500]	Loss: 1.6012	LR: 0.073118
Training Epoch: 1 [35328/47500]	Loss: 1.7576	LR: 0.073656
Training Epoch: 1 [35584/47500]	Loss: 1.6246	LR: 0.074194
Training Epoch: 1 [35840/47500]	Loss: 1.6828	LR: 0.074731
Training Epoch: 1 [36096/47500]	Loss: 1.5433	LR: 0.075269
Training Epoch: 1 [36352/47500]	Loss: 1.4859	LR: 0.075806
Training Epoch: 1 [36608/47500]	Loss: 1.7720	LR: 0.076344
Training Epoch: 1 [36864/47500]	Loss: 1.5349	LR: 0.076882
Training Epoch: 1 [37120/47500]	Loss: 1.5105	LR: 0.077419
Training Epoch: 1 [37376/47500]	Loss: 1.4600	LR: 0.077957
Training Epoch: 1 [37632/47500]	Loss: 1.6979	LR: 0.078495
Training Epoch: 1 [37888/47500]	Loss: 1.6510	LR: 0.079032
Training Epoch: 1 [38144/47500]	Loss: 1.7093	LR: 0.079570
Training Epoch: 1 [38400/47500]	Loss: 1.7756	LR: 0.080108
Training Epoch: 1 [38656/47500]	Loss: 1.6794	LR: 0.080645
Training Epoch: 1 [38912/47500]	Loss: 1.6554	LR: 0.081183
Training Epoch: 1 [39168/47500]	Loss: 1.7778	LR: 0.081720
Training Epoch: 1 [39424/47500]	Loss: 1.4920	LR: 0.082258
Training Epoch: 1 [39680/47500]	Loss: 1.9061	LR: 0.082796
Training Epoch: 1 [39936/47500]	Loss: 1.5532	LR: 0.083333
Training Epoch: 1 [40192/47500]	Loss: 1.5595	LR: 0.083871
Training Epoch: 1 [40448/47500]	Loss: 1.5377	LR: 0.084409
Training Epoch: 1 [40704/47500]	Loss: 1.6648	LR: 0.084946
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Training Epoch: 1 [41216/47500]	Loss: 1.3988	LR: 0.086022
Training Epoch: 1 [41472/47500]	Loss: 1.3804	LR: 0.086559
Training Epoch: 1 [41728/47500]	Loss: 1.5076	LR: 0.087097
Training Epoch: 1 [41984/47500]	Loss: 1.5500	LR: 0.087634
Training Epoch: 1 [42240/47500]	Loss: 1.6078	LR: 0.088172
Training Epoch: 1 [42496/47500]	Loss: 1.4489	LR: 0.088710
Training Epoch: 1 [42752/47500]	Loss: 1.6018	LR: 0.089247
Training Epoch: 1 [43008/47500]	Loss: 1.4486	LR: 0.089785
Training Epoch: 1 [43264/47500]	Loss: 1.3481	LR: 0.090323
Training Epoch: 1 [43520/47500]	Loss: 1.3490	LR: 0.090860
Training Epoch: 1 [43776/47500]	Loss: 1.3861	LR: 0.091398
Training Epoch: 1 [44032/47500]	Loss: 1.6529	LR: 0.091935
Training Epoch: 1 [44288/47500]	Loss: 1.5167	LR: 0.092473
Training Epoch: 1 [44544/47500]	Loss: 1.3188	LR: 0.093011
Training Epoch: 1 [44800/47500]	Loss: 1.4702	LR: 0.093548
Training Epoch: 1 [45056/47500]	Loss: 1.5254	LR: 0.094086
Training Epoch: 1 [45312/47500]	Loss: 1.3448	LR: 0.094624
Training Epoch: 1 [45568/47500]	Loss: 1.3558	LR: 0.095161
Training Epoch: 1 [45824/47500]	Loss: 1.5454	LR: 0.095699
Training Epoch: 1 [46080/47500]	Loss: 1.5224	LR: 0.096237
Training Epoch: 1 [46336/47500]	Loss: 1.3647	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 1.5255	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 1.3888	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 1.2706	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 1.4229	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 1.4605	LR: 0.099462
Epoch 1 - Average Train Loss: 1.7087, Train Accuracy: 0.3738
Epoch 1 training time consumed: 29.66s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0068, Accuracy: 0.4371, Time consumed:1.03s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_11h_01m_03s/ResNet18-Cifar10-seed5-ret50-1-best.pth
Training Epoch: 2 [256/47500]	Loss: 1.2904	LR: 0.100000
Training Epoch: 2 [512/47500]	Loss: 1.3506	LR: 0.100000
Training Epoch: 2 [768/47500]	Loss: 1.5464	LR: 0.100000
Training Epoch: 2 [1024/47500]	Loss: 1.2313	LR: 0.100000
Training Epoch: 2 [1280/47500]	Loss: 1.4789	LR: 0.100000
Training Epoch: 2 [1536/47500]	Loss: 1.4275	LR: 0.100000
Training Epoch: 2 [1792/47500]	Loss: 1.5492	LR: 0.100000
Training Epoch: 2 [2048/47500]	Loss: 1.5128	LR: 0.100000
Training Epoch: 2 [2304/47500]	Loss: 1.4934	LR: 0.100000
Training Epoch: 2 [2560/47500]	Loss: 1.4556	LR: 0.100000
Training Epoch: 2 [2816/47500]	Loss: 1.5705	LR: 0.100000
Training Epoch: 2 [3072/47500]	Loss: 1.3527	LR: 0.100000
Training Epoch: 2 [3328/47500]	Loss: 1.4319	LR: 0.100000
Training Epoch: 2 [3584/47500]	Loss: 1.2905	LR: 0.100000
Training Epoch: 2 [3840/47500]	Loss: 1.4006	LR: 0.100000
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Training Epoch: 2 [4352/47500]	Loss: 1.3558	LR: 0.100000
Training Epoch: 2 [4608/47500]	Loss: 1.3787	LR: 0.100000
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Training Epoch: 2 [22528/47500]	Loss: 1.1260	LR: 0.100000
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Training Epoch: 2 [47500/47500]	Loss: 0.9818	LR: 0.100000
Epoch 2 - Average Train Loss: 1.2142, Train Accuracy: 0.5644
Epoch 2 training time consumed: 28.92s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0043, Accuracy: 0.6206, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_11h_01m_03s/ResNet18-Cifar10-seed5-ret50-2-best.pth
Training Epoch: 3 [256/47500]	Loss: 1.1047	LR: 0.100000
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Training Epoch: 3 [47500/47500]	Loss: 1.0090	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9486, Train Accuracy: 0.6645
Epoch 3 training time consumed: 28.91s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0037, Accuracy: 0.6871, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_11h_01m_03s/ResNet18-Cifar10-seed5-ret50-3-best.pth
Training Epoch: 4 [256/47500]	Loss: 0.8153	LR: 0.100000
Training Epoch: 4 [512/47500]	Loss: 0.7448	LR: 0.100000
Training Epoch: 4 [768/47500]	Loss: 0.8591	LR: 0.100000
Training Epoch: 4 [1024/47500]	Loss: 0.8601	LR: 0.100000
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Epoch 4 - Average Train Loss: 0.8121, Train Accuracy: 0.7144
Epoch 4 training time consumed: 28.79s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0033, Accuracy: 0.7187, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_11h_01m_03s/ResNet18-Cifar10-seed5-ret50-4-best.pth
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Training Epoch: 5 [47500/47500]	Loss: 0.8126	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7095, Train Accuracy: 0.7516
Epoch 5 training time consumed: 28.85s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0029, Accuracy: 0.7621, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_11h_01m_03s/ResNet18-Cifar10-seed5-ret50-5-best.pth
Training Epoch: 6 [256/47500]	Loss: 0.5652	LR: 0.100000
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Epoch 6 - Average Train Loss: 0.6506, Train Accuracy: 0.7741
Epoch 6 training time consumed: 28.76s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0027, Accuracy: 0.7705, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_11h_01m_03s/ResNet18-Cifar10-seed5-ret50-6-best.pth
Training Epoch: 7 [256/47500]	Loss: 0.5851	LR: 0.100000
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Training Epoch: 7 [10240/47500]	Loss: 0.6753	LR: 0.100000
Training Epoch: 7 [10496/47500]	Loss: 0.8058	LR: 0.100000
Training Epoch: 7 [10752/47500]	Loss: 0.5437	LR: 0.100000
Training Epoch: 7 [11008/47500]	Loss: 0.7889	LR: 0.100000
Training Epoch: 7 [11264/47500]	Loss: 0.6185	LR: 0.100000
Training Epoch: 7 [11520/47500]	Loss: 0.6366	LR: 0.100000
Training Epoch: 7 [11776/47500]	Loss: 0.5004	LR: 0.100000
Training Epoch: 7 [12032/47500]	Loss: 0.5645	LR: 0.100000
Training Epoch: 7 [12288/47500]	Loss: 0.6122	LR: 0.100000
Training Epoch: 7 [12544/47500]	Loss: 0.6816	LR: 0.100000
Training Epoch: 7 [12800/47500]	Loss: 0.5649	LR: 0.100000
Training Epoch: 7 [13056/47500]	Loss: 0.5367	LR: 0.100000
Training Epoch: 7 [13312/47500]	Loss: 0.7099	LR: 0.100000
Training Epoch: 7 [13568/47500]	Loss: 0.6467	LR: 0.100000
Training Epoch: 7 [13824/47500]	Loss: 0.6519	LR: 0.100000
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Training Epoch: 7 [14336/47500]	Loss: 0.6190	LR: 0.100000
Training Epoch: 7 [14592/47500]	Loss: 0.6363	LR: 0.100000
Training Epoch: 7 [14848/47500]	Loss: 0.6637	LR: 0.100000
Training Epoch: 7 [15104/47500]	Loss: 0.5461	LR: 0.100000
Training Epoch: 7 [15360/47500]	Loss: 0.7552	LR: 0.100000
Training Epoch: 7 [15616/47500]	Loss: 0.6879	LR: 0.100000
Training Epoch: 7 [15872/47500]	Loss: 0.5838	LR: 0.100000
Training Epoch: 7 [16128/47500]	Loss: 0.5943	LR: 0.100000
Training Epoch: 7 [16384/47500]	Loss: 0.5917	LR: 0.100000
Training Epoch: 7 [16640/47500]	Loss: 0.6529	LR: 0.100000
Training Epoch: 7 [16896/47500]	Loss: 0.5813	LR: 0.100000
Training Epoch: 7 [17152/47500]	Loss: 0.7040	LR: 0.100000
Training Epoch: 7 [17408/47500]	Loss: 0.4744	LR: 0.100000
Training Epoch: 7 [17664/47500]	Loss: 0.6105	LR: 0.100000
Training Epoch: 7 [17920/47500]	Loss: 0.5488	LR: 0.100000
Training Epoch: 7 [18176/47500]	Loss: 0.5933	LR: 0.100000
Training Epoch: 7 [18432/47500]	Loss: 0.6173	LR: 0.100000
Training Epoch: 7 [18688/47500]	Loss: 0.7970	LR: 0.100000
Training Epoch: 7 [18944/47500]	Loss: 0.6690	LR: 0.100000
Training Epoch: 7 [19200/47500]	Loss: 0.5801	LR: 0.100000
Training Epoch: 7 [19456/47500]	Loss: 0.6400	LR: 0.100000
Training Epoch: 7 [19712/47500]	Loss: 0.5427	LR: 0.100000
Training Epoch: 7 [19968/47500]	Loss: 0.6082	LR: 0.100000
Training Epoch: 7 [20224/47500]	Loss: 0.6181	LR: 0.100000
Training Epoch: 7 [20480/47500]	Loss: 0.5026	LR: 0.100000
Training Epoch: 7 [20736/47500]	Loss: 0.5246	LR: 0.100000
Training Epoch: 7 [20992/47500]	Loss: 0.5530	LR: 0.100000
Training Epoch: 7 [21248/47500]	Loss: 0.6389	LR: 0.100000
Training Epoch: 7 [21504/47500]	Loss: 0.5156	LR: 0.100000
Training Epoch: 7 [21760/47500]	Loss: 0.6376	LR: 0.100000
Training Epoch: 7 [22016/47500]	Loss: 0.5316	LR: 0.100000
Training Epoch: 7 [22272/47500]	Loss: 0.6241	LR: 0.100000
Training Epoch: 7 [22528/47500]	Loss: 0.5216	LR: 0.100000
Training Epoch: 7 [22784/47500]	Loss: 0.5087	LR: 0.100000
Training Epoch: 7 [23040/47500]	Loss: 0.5946	LR: 0.100000
Training Epoch: 7 [23296/47500]	Loss: 0.5581	LR: 0.100000
Training Epoch: 7 [23552/47500]	Loss: 0.6078	LR: 0.100000
Training Epoch: 7 [23808/47500]	Loss: 0.5343	LR: 0.100000
Training Epoch: 7 [24064/47500]	Loss: 0.4756	LR: 0.100000
Training Epoch: 7 [24320/47500]	Loss: 0.4964	LR: 0.100000
Training Epoch: 7 [24576/47500]	Loss: 0.5718	LR: 0.100000
Training Epoch: 7 [24832/47500]	Loss: 0.6547	LR: 0.100000
Training Epoch: 7 [25088/47500]	Loss: 0.5402	LR: 0.100000
Training Epoch: 7 [25344/47500]	Loss: 0.5058	LR: 0.100000
Training Epoch: 7 [25600/47500]	Loss: 0.4935	LR: 0.100000
Training Epoch: 7 [25856/47500]	Loss: 0.5758	LR: 0.100000
Training Epoch: 7 [26112/47500]	Loss: 0.6380	LR: 0.100000
Training Epoch: 7 [26368/47500]	Loss: 0.6159	LR: 0.100000
Training Epoch: 7 [26624/47500]	Loss: 0.4809	LR: 0.100000
Training Epoch: 7 [26880/47500]	Loss: 0.6142	LR: 0.100000
Training Epoch: 7 [27136/47500]	Loss: 0.6294	LR: 0.100000
Training Epoch: 7 [27392/47500]	Loss: 0.5654	LR: 0.100000
Training Epoch: 7 [27648/47500]	Loss: 0.6536	LR: 0.100000
Training Epoch: 7 [27904/47500]	Loss: 0.4779	LR: 0.100000
Training Epoch: 7 [28160/47500]	Loss: 0.6385	LR: 0.100000
Training Epoch: 7 [28416/47500]	Loss: 0.4916	LR: 0.100000
Training Epoch: 7 [28672/47500]	Loss: 0.5421	LR: 0.100000
Training Epoch: 7 [28928/47500]	Loss: 0.6074	LR: 0.100000
Training Epoch: 7 [29184/47500]	Loss: 0.5762	LR: 0.100000
Training Epoch: 7 [29440/47500]	Loss: 0.6514	LR: 0.100000
Training Epoch: 7 [29696/47500]	Loss: 0.6425	LR: 0.100000
Training Epoch: 7 [29952/47500]	Loss: 0.6086	LR: 0.100000
Training Epoch: 7 [30208/47500]	Loss: 0.5468	LR: 0.100000
Training Epoch: 7 [30464/47500]	Loss: 0.6260	LR: 0.100000
Training Epoch: 7 [30720/47500]	Loss: 0.5441	LR: 0.100000
Training Epoch: 7 [30976/47500]	Loss: 0.6514	LR: 0.100000
Training Epoch: 7 [31232/47500]	Loss: 0.5642	LR: 0.100000
Training Epoch: 7 [31488/47500]	Loss: 0.5061	LR: 0.100000
Training Epoch: 7 [31744/47500]	Loss: 0.4955	LR: 0.100000
Training Epoch: 7 [32000/47500]	Loss: 0.5508	LR: 0.100000
Training Epoch: 7 [32256/47500]	Loss: 0.6620	LR: 0.100000
Training Epoch: 7 [32512/47500]	Loss: 0.5088	LR: 0.100000
Training Epoch: 7 [32768/47500]	Loss: 0.5849	LR: 0.100000
Training Epoch: 7 [33024/47500]	Loss: 0.6152	LR: 0.100000
Training Epoch: 7 [33280/47500]	Loss: 0.6371	LR: 0.100000
Training Epoch: 7 [33536/47500]	Loss: 0.6739	LR: 0.100000
Training Epoch: 7 [33792/47500]	Loss: 0.5180	LR: 0.100000
Training Epoch: 7 [34048/47500]	Loss: 0.5628	LR: 0.100000
Training Epoch: 7 [34304/47500]	Loss: 0.6556	LR: 0.100000
Training Epoch: 7 [34560/47500]	Loss: 0.6134	LR: 0.100000
Training Epoch: 7 [34816/47500]	Loss: 0.6291	LR: 0.100000
Training Epoch: 7 [35072/47500]	Loss: 0.5868	LR: 0.100000
Training Epoch: 7 [35328/47500]	Loss: 0.5514	LR: 0.100000
Training Epoch: 7 [35584/47500]	Loss: 0.5288	LR: 0.100000
Training Epoch: 7 [35840/47500]	Loss: 0.5887	LR: 0.100000
Training Epoch: 7 [36096/47500]	Loss: 0.6649	LR: 0.100000
Training Epoch: 7 [36352/47500]	Loss: 0.5189	LR: 0.100000
Training Epoch: 7 [36608/47500]	Loss: 0.6664	LR: 0.100000
Training Epoch: 7 [36864/47500]	Loss: 0.6462	LR: 0.100000
Training Epoch: 7 [37120/47500]	Loss: 0.6991	LR: 0.100000
Training Epoch: 7 [37376/47500]	Loss: 0.5958	LR: 0.100000
Training Epoch: 7 [37632/47500]	Loss: 0.5872	LR: 0.100000
Training Epoch: 7 [37888/47500]	Loss: 0.4745	LR: 0.100000
Training Epoch: 7 [38144/47500]	Loss: 0.6920	LR: 0.100000
Training Epoch: 7 [38400/47500]	Loss: 0.6459	LR: 0.100000
Training Epoch: 7 [38656/47500]	Loss: 0.5629	LR: 0.100000
Training Epoch: 7 [38912/47500]	Loss: 0.7030	LR: 0.100000
Training Epoch: 7 [39168/47500]	Loss: 0.5009	LR: 0.100000
Training Epoch: 7 [39424/47500]	Loss: 0.6045	LR: 0.100000
Training Epoch: 7 [39680/47500]	Loss: 0.6176	LR: 0.100000
Training Epoch: 7 [39936/47500]	Loss: 0.5199	LR: 0.100000
Training Epoch: 7 [40192/47500]	Loss: 0.6236	LR: 0.100000
Training Epoch: 7 [40448/47500]	Loss: 0.5206	LR: 0.100000
Training Epoch: 7 [40704/47500]	Loss: 0.6165	LR: 0.100000
Training Epoch: 7 [40960/47500]	Loss: 0.5411	LR: 0.100000
Training Epoch: 7 [41216/47500]	Loss: 0.6167	LR: 0.100000
Training Epoch: 7 [41472/47500]	Loss: 0.5118	LR: 0.100000
Training Epoch: 7 [41728/47500]	Loss: 0.6560	LR: 0.100000
Training Epoch: 7 [41984/47500]	Loss: 0.6450	LR: 0.100000
Training Epoch: 7 [42240/47500]	Loss: 0.7091	LR: 0.100000
Training Epoch: 7 [42496/47500]	Loss: 0.6529	LR: 0.100000
Training Epoch: 7 [42752/47500]	Loss: 0.5771	LR: 0.100000
Training Epoch: 7 [43008/47500]	Loss: 0.5714	LR: 0.100000
Training Epoch: 7 [43264/47500]	Loss: 0.5404	LR: 0.100000
Training Epoch: 7 [43520/47500]	Loss: 0.5308	LR: 0.100000
Training Epoch: 7 [43776/47500]	Loss: 0.6578	LR: 0.100000
Training Epoch: 7 [44032/47500]	Loss: 0.5356	LR: 0.100000
Training Epoch: 7 [44288/47500]	Loss: 0.6500	LR: 0.100000
Training Epoch: 7 [44544/47500]	Loss: 0.5610	LR: 0.100000
Training Epoch: 7 [44800/47500]	Loss: 0.5455	LR: 0.100000
Training Epoch: 7 [45056/47500]	Loss: 0.6147	LR: 0.100000
Training Epoch: 7 [45312/47500]	Loss: 0.5906	LR: 0.100000
Training Epoch: 7 [45568/47500]	Loss: 0.5652	LR: 0.100000
Training Epoch: 7 [45824/47500]	Loss: 0.5640	LR: 0.100000
Training Epoch: 7 [46080/47500]	Loss: 0.5447	LR: 0.100000
Training Epoch: 7 [46336/47500]	Loss: 0.5854	LR: 0.100000
Training Epoch: 7 [46592/47500]	Loss: 0.6237	LR: 0.100000
Training Epoch: 7 [46848/47500]	Loss: 0.6944	LR: 0.100000
Training Epoch: 7 [47104/47500]	Loss: 0.5695	LR: 0.100000
Training Epoch: 7 [47360/47500]	Loss: 0.6463	LR: 0.100000
Training Epoch: 7 [47500/47500]	Loss: 0.5939	LR: 0.100000
Epoch 7 - Average Train Loss: 0.5993, Train Accuracy: 0.7907
Epoch 7 training time consumed: 28.93s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0029, Accuracy: 0.7569, Time consumed:0.89s
Training Epoch: 8 [256/47500]	Loss: 0.5171	LR: 0.020000
Training Epoch: 8 [512/47500]	Loss: 0.5776	LR: 0.020000
Training Epoch: 8 [768/47500]	Loss: 0.5326	LR: 0.020000
Training Epoch: 8 [1024/47500]	Loss: 0.5128	LR: 0.020000
Training Epoch: 8 [1280/47500]	Loss: 0.4971	LR: 0.020000
Training Epoch: 8 [1536/47500]	Loss: 0.5016	LR: 0.020000
Training Epoch: 8 [1792/47500]	Loss: 0.4879	LR: 0.020000
Training Epoch: 8 [2048/47500]	Loss: 0.5155	LR: 0.020000
Training Epoch: 8 [2304/47500]	Loss: 0.5662	LR: 0.020000
Training Epoch: 8 [2560/47500]	Loss: 0.5010	LR: 0.020000
Training Epoch: 8 [2816/47500]	Loss: 0.5012	LR: 0.020000
Training Epoch: 8 [3072/47500]	Loss: 0.5958	LR: 0.020000
Training Epoch: 8 [3328/47500]	Loss: 0.4873	LR: 0.020000
Training Epoch: 8 [3584/47500]	Loss: 0.4943	LR: 0.020000
Training Epoch: 8 [3840/47500]	Loss: 0.4628	LR: 0.020000
Training Epoch: 8 [4096/47500]	Loss: 0.4675	LR: 0.020000
Training Epoch: 8 [4352/47500]	Loss: 0.4487	LR: 0.020000
Training Epoch: 8 [4608/47500]	Loss: 0.6198	LR: 0.020000
Training Epoch: 8 [4864/47500]	Loss: 0.5838	LR: 0.020000
Training Epoch: 8 [5120/47500]	Loss: 0.4901	LR: 0.020000
Training Epoch: 8 [5376/47500]	Loss: 0.4457	LR: 0.020000
Training Epoch: 8 [5632/47500]	Loss: 0.5771	LR: 0.020000
Training Epoch: 8 [5888/47500]	Loss: 0.5213	LR: 0.020000
Training Epoch: 8 [6144/47500]	Loss: 0.5181	LR: 0.020000
Training Epoch: 8 [6400/47500]	Loss: 0.4616	LR: 0.020000
Training Epoch: 8 [6656/47500]	Loss: 0.5058	LR: 0.020000
Training Epoch: 8 [6912/47500]	Loss: 0.4754	LR: 0.020000
Training Epoch: 8 [7168/47500]	Loss: 0.5135	LR: 0.020000
Training Epoch: 8 [7424/47500]	Loss: 0.5160	LR: 0.020000
Training Epoch: 8 [7680/47500]	Loss: 0.5048	LR: 0.020000
Training Epoch: 8 [7936/47500]	Loss: 0.4907	LR: 0.020000
Training Epoch: 8 [8192/47500]	Loss: 0.3885	LR: 0.020000
Training Epoch: 8 [8448/47500]	Loss: 0.4527	LR: 0.020000
Training Epoch: 8 [8704/47500]	Loss: 0.4928	LR: 0.020000
Training Epoch: 8 [8960/47500]	Loss: 0.4889	LR: 0.020000
Training Epoch: 8 [9216/47500]	Loss: 0.4659	LR: 0.020000
Training Epoch: 8 [9472/47500]	Loss: 0.5021	LR: 0.020000
Training Epoch: 8 [9728/47500]	Loss: 0.4779	LR: 0.020000
Training Epoch: 8 [9984/47500]	Loss: 0.4756	LR: 0.020000
Training Epoch: 8 [10240/47500]	Loss: 0.5134	LR: 0.020000
Training Epoch: 8 [10496/47500]	Loss: 0.4186	LR: 0.020000
Training Epoch: 8 [10752/47500]	Loss: 0.5053	LR: 0.020000
Training Epoch: 8 [11008/47500]	Loss: 0.4578	LR: 0.020000
Training Epoch: 8 [11264/47500]	Loss: 0.4559	LR: 0.020000
Training Epoch: 8 [11520/47500]	Loss: 0.4789	LR: 0.020000
Training Epoch: 8 [11776/47500]	Loss: 0.4883	LR: 0.020000
Training Epoch: 8 [12032/47500]	Loss: 0.4284	LR: 0.020000
Training Epoch: 8 [12288/47500]	Loss: 0.5420	LR: 0.020000
Training Epoch: 8 [12544/47500]	Loss: 0.3796	LR: 0.020000
Training Epoch: 8 [12800/47500]	Loss: 0.4014	LR: 0.020000
Training Epoch: 8 [13056/47500]	Loss: 0.5023	LR: 0.020000
Training Epoch: 8 [13312/47500]	Loss: 0.4151	LR: 0.020000
Training Epoch: 8 [13568/47500]	Loss: 0.3376	LR: 0.020000
Training Epoch: 8 [13824/47500]	Loss: 0.4475	LR: 0.020000
Training Epoch: 8 [14080/47500]	Loss: 0.4426	LR: 0.020000
Training Epoch: 8 [14336/47500]	Loss: 0.4125	LR: 0.020000
Training Epoch: 8 [14592/47500]	Loss: 0.4515	LR: 0.020000
Training Epoch: 8 [14848/47500]	Loss: 0.4943	LR: 0.020000
Training Epoch: 8 [15104/47500]	Loss: 0.4445	LR: 0.020000
Training Epoch: 8 [15360/47500]	Loss: 0.4052	LR: 0.020000
Training Epoch: 8 [15616/47500]	Loss: 0.4577	LR: 0.020000
Training Epoch: 8 [15872/47500]	Loss: 0.4406	LR: 0.020000
Training Epoch: 8 [16128/47500]	Loss: 0.4810	LR: 0.020000
Training Epoch: 8 [16384/47500]	Loss: 0.4263	LR: 0.020000
Training Epoch: 8 [16640/47500]	Loss: 0.5093	LR: 0.020000
Training Epoch: 8 [16896/47500]	Loss: 0.5375	LR: 0.020000
Training Epoch: 8 [17152/47500]	Loss: 0.4575	LR: 0.020000
Training Epoch: 8 [17408/47500]	Loss: 0.5040	LR: 0.020000
Training Epoch: 8 [17664/47500]	Loss: 0.4154	LR: 0.020000
Training Epoch: 8 [17920/47500]	Loss: 0.5198	LR: 0.020000
Training Epoch: 8 [18176/47500]	Loss: 0.4861	LR: 0.020000
Training Epoch: 8 [18432/47500]	Loss: 0.3481	LR: 0.020000
Training Epoch: 8 [18688/47500]	Loss: 0.4725	LR: 0.020000
Training Epoch: 8 [18944/47500]	Loss: 0.4066	LR: 0.020000
Training Epoch: 8 [19200/47500]	Loss: 0.4675	LR: 0.020000
Training Epoch: 8 [19456/47500]	Loss: 0.3260	LR: 0.020000
Training Epoch: 8 [19712/47500]	Loss: 0.3913	LR: 0.020000
Training Epoch: 8 [19968/47500]	Loss: 0.4335	LR: 0.020000
Training Epoch: 8 [20224/47500]	Loss: 0.4536	LR: 0.020000
Training Epoch: 8 [20480/47500]	Loss: 0.3657	LR: 0.020000
Training Epoch: 8 [20736/47500]	Loss: 0.3998	LR: 0.020000
Training Epoch: 8 [20992/47500]	Loss: 0.4017	LR: 0.020000
Training Epoch: 8 [21248/47500]	Loss: 0.4540	LR: 0.020000
Training Epoch: 8 [21504/47500]	Loss: 0.4384	LR: 0.020000
Training Epoch: 8 [21760/47500]	Loss: 0.4706	LR: 0.020000
Training Epoch: 8 [22016/47500]	Loss: 0.3896	LR: 0.020000
Training Epoch: 8 [22272/47500]	Loss: 0.3546	LR: 0.020000
Training Epoch: 8 [22528/47500]	Loss: 0.4593	LR: 0.020000
Training Epoch: 8 [22784/47500]	Loss: 0.4041	LR: 0.020000
Training Epoch: 8 [23040/47500]	Loss: 0.4338	LR: 0.020000
Training Epoch: 8 [23296/47500]	Loss: 0.4459	LR: 0.020000
Training Epoch: 8 [23552/47500]	Loss: 0.4312	LR: 0.020000
Training Epoch: 8 [23808/47500]	Loss: 0.4537	LR: 0.020000
Training Epoch: 8 [24064/47500]	Loss: 0.4326	LR: 0.020000
Training Epoch: 8 [24320/47500]	Loss: 0.4150	LR: 0.020000
Training Epoch: 8 [24576/47500]	Loss: 0.4441	LR: 0.020000
Training Epoch: 8 [24832/47500]	Loss: 0.4458	LR: 0.020000
Training Epoch: 8 [25088/47500]	Loss: 0.5300	LR: 0.020000
Training Epoch: 8 [25344/47500]	Loss: 0.4136	LR: 0.020000
Training Epoch: 8 [25600/47500]	Loss: 0.4265	LR: 0.020000
Training Epoch: 8 [25856/47500]	Loss: 0.4894	LR: 0.020000
Training Epoch: 8 [26112/47500]	Loss: 0.5067	LR: 0.020000
Training Epoch: 8 [26368/47500]	Loss: 0.3825	LR: 0.020000
Training Epoch: 8 [26624/47500]	Loss: 0.4158	LR: 0.020000
Training Epoch: 8 [26880/47500]	Loss: 0.5307	LR: 0.020000
Training Epoch: 8 [27136/47500]	Loss: 0.4550	LR: 0.020000
Training Epoch: 8 [27392/47500]	Loss: 0.3653	LR: 0.020000
Training Epoch: 8 [27648/47500]	Loss: 0.4286	LR: 0.020000
Training Epoch: 8 [27904/47500]	Loss: 0.4132	LR: 0.020000
Training Epoch: 8 [28160/47500]	Loss: 0.3751	LR: 0.020000
Training Epoch: 8 [28416/47500]	Loss: 0.4197	LR: 0.020000
Training Epoch: 8 [28672/47500]	Loss: 0.4046	LR: 0.020000
Training Epoch: 8 [28928/47500]	Loss: 0.4122	LR: 0.020000
Training Epoch: 8 [29184/47500]	Loss: 0.4174	LR: 0.020000
Training Epoch: 8 [29440/47500]	Loss: 0.4421	LR: 0.020000
Training Epoch: 8 [29696/47500]	Loss: 0.4149	LR: 0.020000
Training Epoch: 8 [29952/47500]	Loss: 0.3860	LR: 0.020000
Training Epoch: 8 [30208/47500]	Loss: 0.4586	LR: 0.020000
Training Epoch: 8 [30464/47500]	Loss: 0.3771	LR: 0.020000
Training Epoch: 8 [30720/47500]	Loss: 0.4071	LR: 0.020000
Training Epoch: 8 [30976/47500]	Loss: 0.4956	LR: 0.020000
Training Epoch: 8 [31232/47500]	Loss: 0.4400	LR: 0.020000
Training Epoch: 8 [31488/47500]	Loss: 0.3946	LR: 0.020000
Training Epoch: 8 [31744/47500]	Loss: 0.5222	LR: 0.020000
Training Epoch: 8 [32000/47500]	Loss: 0.4483	LR: 0.020000
Training Epoch: 8 [32256/47500]	Loss: 0.3999	LR: 0.020000
Training Epoch: 8 [32512/47500]	Loss: 0.4159	LR: 0.020000
Training Epoch: 8 [32768/47500]	Loss: 0.3771	LR: 0.020000
Training Epoch: 8 [33024/47500]	Loss: 0.4091	LR: 0.020000
Training Epoch: 8 [33280/47500]	Loss: 0.4412	LR: 0.020000
Training Epoch: 8 [33536/47500]	Loss: 0.4723	LR: 0.020000
Training Epoch: 8 [33792/47500]	Loss: 0.3335	LR: 0.020000
Training Epoch: 8 [34048/47500]	Loss: 0.5008	LR: 0.020000
Training Epoch: 8 [34304/47500]	Loss: 0.4525	LR: 0.020000
Training Epoch: 8 [34560/47500]	Loss: 0.3565	LR: 0.020000
Training Epoch: 8 [34816/47500]	Loss: 0.4524	LR: 0.020000
Training Epoch: 8 [35072/47500]	Loss: 0.4524	LR: 0.020000
Training Epoch: 8 [35328/47500]	Loss: 0.3369	LR: 0.020000
Training Epoch: 8 [35584/47500]	Loss: 0.4158	LR: 0.020000
Training Epoch: 8 [35840/47500]	Loss: 0.4478	LR: 0.020000
Training Epoch: 8 [36096/47500]	Loss: 0.3452	LR: 0.020000
Training Epoch: 8 [36352/47500]	Loss: 0.4245	LR: 0.020000
Training Epoch: 8 [36608/47500]	Loss: 0.3271	LR: 0.020000
Training Epoch: 8 [36864/47500]	Loss: 0.5294	LR: 0.020000
Training Epoch: 8 [37120/47500]	Loss: 0.3613	LR: 0.020000
Training Epoch: 8 [37376/47500]	Loss: 0.4169	LR: 0.020000
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Training Epoch: 8 [47500/47500]	Loss: 0.3957	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4444, Train Accuracy: 0.8456
Epoch 8 training time consumed: 28.77s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0017, Accuracy: 0.8597, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_11h_01m_03s/ResNet18-Cifar10-seed5-ret50-8-best.pth
Training Epoch: 9 [256/47500]	Loss: 0.3519	LR: 0.020000
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Training Epoch: 9 [47500/47500]	Loss: 0.2341	LR: 0.020000
Epoch 9 - Average Train Loss: 0.3968, Train Accuracy: 0.8606
Epoch 9 training time consumed: 28.92s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0016, Accuracy: 0.8695, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_11h_01m_03s/ResNet18-Cifar10-seed5-ret50-9-best.pth
Training Epoch: 10 [256/47500]	Loss: 0.4316	LR: 0.020000
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Training Epoch: 10 [47500/47500]	Loss: 0.3816	LR: 0.020000
Epoch 10 - Average Train Loss: 0.3793, Train Accuracy: 0.8658
Epoch 10 training time consumed: 28.88s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0016, Accuracy: 0.8703, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_11h_01m_03s/ResNet18-Cifar10-seed5-ret50-10-best.pth
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Training Epoch: 11 [39424/47500]	Loss: 0.3633	LR: 0.020000
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Training Epoch: 11 [47500/47500]	Loss: 0.4713	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3610, Train Accuracy: 0.8737
Epoch 11 training time consumed: 29.27s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0016, Accuracy: 0.8612, Time consumed:0.93s
Training Epoch: 12 [256/47500]	Loss: 0.2749	LR: 0.004000
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Training Epoch: 12 [47360/47500]	Loss: 0.4450	LR: 0.004000
Training Epoch: 12 [47500/47500]	Loss: 0.3032	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3122, Train Accuracy: 0.8917
Epoch 12 training time consumed: 28.81s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0014, Accuracy: 0.8893, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_11h_01m_03s/ResNet18-Cifar10-seed5-ret50-12-best.pth
Training Epoch: 13 [256/47500]	Loss: 0.2943	LR: 0.004000
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Training Epoch: 13 [16640/47500]	Loss: 0.2416	LR: 0.004000
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Training Epoch: 13 [17152/47500]	Loss: 0.3003	LR: 0.004000
Training Epoch: 13 [17408/47500]	Loss: 0.2768	LR: 0.004000
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Training Epoch: 13 [18176/47500]	Loss: 0.3131	LR: 0.004000
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Training Epoch: 13 [19200/47500]	Loss: 0.3012	LR: 0.004000
Training Epoch: 13 [19456/47500]	Loss: 0.3271	LR: 0.004000
Training Epoch: 13 [19712/47500]	Loss: 0.3165	LR: 0.004000
Training Epoch: 13 [19968/47500]	Loss: 0.3063	LR: 0.004000
Training Epoch: 13 [20224/47500]	Loss: 0.2996	LR: 0.004000
Training Epoch: 13 [20480/47500]	Loss: 0.2493	LR: 0.004000
Training Epoch: 13 [20736/47500]	Loss: 0.3331	LR: 0.004000
Training Epoch: 13 [20992/47500]	Loss: 0.2791	LR: 0.004000
Training Epoch: 13 [21248/47500]	Loss: 0.2828	LR: 0.004000
Training Epoch: 13 [21504/47500]	Loss: 0.2552	LR: 0.004000
Training Epoch: 13 [21760/47500]	Loss: 0.3502	LR: 0.004000
Training Epoch: 13 [22016/47500]	Loss: 0.2675	LR: 0.004000
Training Epoch: 13 [22272/47500]	Loss: 0.2922	LR: 0.004000
Training Epoch: 13 [22528/47500]	Loss: 0.3246	LR: 0.004000
Training Epoch: 13 [22784/47500]	Loss: 0.2829	LR: 0.004000
Training Epoch: 13 [23040/47500]	Loss: 0.3396	LR: 0.004000
Training Epoch: 13 [23296/47500]	Loss: 0.3042	LR: 0.004000
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Training Epoch: 13 [23808/47500]	Loss: 0.2798	LR: 0.004000
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Training Epoch: 13 [24320/47500]	Loss: 0.2968	LR: 0.004000
Training Epoch: 13 [24576/47500]	Loss: 0.3358	LR: 0.004000
Training Epoch: 13 [24832/47500]	Loss: 0.3202	LR: 0.004000
Training Epoch: 13 [25088/47500]	Loss: 0.2254	LR: 0.004000
Training Epoch: 13 [25344/47500]	Loss: 0.2528	LR: 0.004000
Training Epoch: 13 [25600/47500]	Loss: 0.3180	LR: 0.004000
Training Epoch: 13 [25856/47500]	Loss: 0.3509	LR: 0.004000
Training Epoch: 13 [26112/47500]	Loss: 0.3832	LR: 0.004000
Training Epoch: 13 [26368/47500]	Loss: 0.3343	LR: 0.004000
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Training Epoch: 13 [27136/47500]	Loss: 0.2159	LR: 0.004000
Training Epoch: 13 [27392/47500]	Loss: 0.3724	LR: 0.004000
Training Epoch: 13 [27648/47500]	Loss: 0.2457	LR: 0.004000
Training Epoch: 13 [27904/47500]	Loss: 0.2904	LR: 0.004000
Training Epoch: 13 [28160/47500]	Loss: 0.3249	LR: 0.004000
Training Epoch: 13 [28416/47500]	Loss: 0.3198	LR: 0.004000
Training Epoch: 13 [28672/47500]	Loss: 0.3088	LR: 0.004000
Training Epoch: 13 [28928/47500]	Loss: 0.2323	LR: 0.004000
Training Epoch: 13 [29184/47500]	Loss: 0.3580	LR: 0.004000
Training Epoch: 13 [29440/47500]	Loss: 0.3018	LR: 0.004000
Training Epoch: 13 [29696/47500]	Loss: 0.3215	LR: 0.004000
Training Epoch: 13 [29952/47500]	Loss: 0.3920	LR: 0.004000
Training Epoch: 13 [30208/47500]	Loss: 0.2668	LR: 0.004000
Training Epoch: 13 [30464/47500]	Loss: 0.2534	LR: 0.004000
Training Epoch: 13 [30720/47500]	Loss: 0.2615	LR: 0.004000
Training Epoch: 13 [30976/47500]	Loss: 0.2532	LR: 0.004000
Training Epoch: 13 [31232/47500]	Loss: 0.2333	LR: 0.004000
Training Epoch: 13 [31488/47500]	Loss: 0.3595	LR: 0.004000
Training Epoch: 13 [31744/47500]	Loss: 0.2988	LR: 0.004000
Training Epoch: 13 [32000/47500]	Loss: 0.3068	LR: 0.004000
Training Epoch: 13 [32256/47500]	Loss: 0.2891	LR: 0.004000
Training Epoch: 13 [32512/47500]	Loss: 0.2684	LR: 0.004000
Training Epoch: 13 [32768/47500]	Loss: 0.2666	LR: 0.004000
Training Epoch: 13 [33024/47500]	Loss: 0.2491	LR: 0.004000
Training Epoch: 13 [33280/47500]	Loss: 0.2409	LR: 0.004000
Training Epoch: 13 [33536/47500]	Loss: 0.3227	LR: 0.004000
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Training Epoch: 13 [34560/47500]	Loss: 0.3139	LR: 0.004000
Training Epoch: 13 [34816/47500]	Loss: 0.2956	LR: 0.004000
Training Epoch: 13 [35072/47500]	Loss: 0.2551	LR: 0.004000
Training Epoch: 13 [35328/47500]	Loss: 0.2940	LR: 0.004000
Training Epoch: 13 [35584/47500]	Loss: 0.2361	LR: 0.004000
Training Epoch: 13 [35840/47500]	Loss: 0.3137	LR: 0.004000
Training Epoch: 13 [36096/47500]	Loss: 0.2801	LR: 0.004000
Training Epoch: 13 [36352/47500]	Loss: 0.2742	LR: 0.004000
Training Epoch: 13 [36608/47500]	Loss: 0.2838	LR: 0.004000
Training Epoch: 13 [36864/47500]	Loss: 0.2940	LR: 0.004000
Training Epoch: 13 [37120/47500]	Loss: 0.3553	LR: 0.004000
Training Epoch: 13 [37376/47500]	Loss: 0.2720	LR: 0.004000
Training Epoch: 13 [37632/47500]	Loss: 0.2666	LR: 0.004000
Training Epoch: 13 [37888/47500]	Loss: 0.3512	LR: 0.004000
Training Epoch: 13 [38144/47500]	Loss: 0.3305	LR: 0.004000
Training Epoch: 13 [38400/47500]	Loss: 0.2275	LR: 0.004000
Training Epoch: 13 [38656/47500]	Loss: 0.2984	LR: 0.004000
Training Epoch: 13 [38912/47500]	Loss: 0.3607	LR: 0.004000
Training Epoch: 13 [39168/47500]	Loss: 0.3169	LR: 0.004000
Training Epoch: 13 [39424/47500]	Loss: 0.2901	LR: 0.004000
Training Epoch: 13 [39680/47500]	Loss: 0.2964	LR: 0.004000
Training Epoch: 13 [39936/47500]	Loss: 0.3294	LR: 0.004000
Training Epoch: 13 [40192/47500]	Loss: 0.2784	LR: 0.004000
Training Epoch: 13 [40448/47500]	Loss: 0.3133	LR: 0.004000
Training Epoch: 13 [40704/47500]	Loss: 0.3037	LR: 0.004000
Training Epoch: 13 [40960/47500]	Loss: 0.2716	LR: 0.004000
Training Epoch: 13 [41216/47500]	Loss: 0.2934	LR: 0.004000
Training Epoch: 13 [41472/47500]	Loss: 0.3064	LR: 0.004000
Training Epoch: 13 [41728/47500]	Loss: 0.3311	LR: 0.004000
Training Epoch: 13 [41984/47500]	Loss: 0.2427	LR: 0.004000
Training Epoch: 13 [42240/47500]	Loss: 0.2726	LR: 0.004000
Training Epoch: 13 [42496/47500]	Loss: 0.3060	LR: 0.004000
Training Epoch: 13 [42752/47500]	Loss: 0.2694	LR: 0.004000
Training Epoch: 13 [43008/47500]	Loss: 0.2998	LR: 0.004000
Training Epoch: 13 [43264/47500]	Loss: 0.3320	LR: 0.004000
Training Epoch: 13 [43520/47500]	Loss: 0.2455	LR: 0.004000
Training Epoch: 13 [43776/47500]	Loss: 0.3165	LR: 0.004000
Training Epoch: 13 [44032/47500]	Loss: 0.3211	LR: 0.004000
Training Epoch: 13 [44288/47500]	Loss: 0.3068	LR: 0.004000
Training Epoch: 13 [44544/47500]	Loss: 0.2744	LR: 0.004000
Training Epoch: 13 [44800/47500]	Loss: 0.3336	LR: 0.004000
Training Epoch: 13 [45056/47500]	Loss: 0.2923	LR: 0.004000
Training Epoch: 13 [45312/47500]	Loss: 0.2891	LR: 0.004000
Training Epoch: 13 [45568/47500]	Loss: 0.2424	LR: 0.004000
Training Epoch: 13 [45824/47500]	Loss: 0.2784	LR: 0.004000
Training Epoch: 13 [46080/47500]	Loss: 0.3157	LR: 0.004000
Training Epoch: 13 [46336/47500]	Loss: 0.3131	LR: 0.004000
Training Epoch: 13 [46592/47500]	Loss: 0.2955	LR: 0.004000
Training Epoch: 13 [46848/47500]	Loss: 0.2227	LR: 0.004000
Training Epoch: 13 [47104/47500]	Loss: 0.2879	LR: 0.004000
Training Epoch: 13 [47360/47500]	Loss: 0.2869	LR: 0.004000
Training Epoch: 13 [47500/47500]	Loss: 0.3444	LR: 0.004000
Epoch 13 - Average Train Loss: 0.2974, Train Accuracy: 0.8972
Epoch 13 training time consumed: 28.80s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0013, Accuracy: 0.8881, Time consumed:0.90s
Training Epoch: 14 [256/47500]	Loss: 0.3170	LR: 0.004000
Training Epoch: 14 [512/47500]	Loss: 0.2585	LR: 0.004000
Training Epoch: 14 [768/47500]	Loss: 0.2780	LR: 0.004000
Training Epoch: 14 [1024/47500]	Loss: 0.2883	LR: 0.004000
Training Epoch: 14 [1280/47500]	Loss: 0.2551	LR: 0.004000
Training Epoch: 14 [1536/47500]	Loss: 0.2533	LR: 0.004000
Training Epoch: 14 [1792/47500]	Loss: 0.2557	LR: 0.004000
Training Epoch: 14 [2048/47500]	Loss: 0.3051	LR: 0.004000
Training Epoch: 14 [2304/47500]	Loss: 0.2979	LR: 0.004000
Training Epoch: 14 [2560/47500]	Loss: 0.2542	LR: 0.004000
Training Epoch: 14 [2816/47500]	Loss: 0.2531	LR: 0.004000
Training Epoch: 14 [3072/47500]	Loss: 0.3382	LR: 0.004000
Training Epoch: 14 [3328/47500]	Loss: 0.2880	LR: 0.004000
Training Epoch: 14 [3584/47500]	Loss: 0.1691	LR: 0.004000
Training Epoch: 14 [3840/47500]	Loss: 0.3086	LR: 0.004000
Training Epoch: 14 [4096/47500]	Loss: 0.2102	LR: 0.004000
Training Epoch: 14 [4352/47500]	Loss: 0.2925	LR: 0.004000
Training Epoch: 14 [4608/47500]	Loss: 0.3165	LR: 0.004000
Training Epoch: 14 [4864/47500]	Loss: 0.2990	LR: 0.004000
Training Epoch: 14 [5120/47500]	Loss: 0.3497	LR: 0.004000
Training Epoch: 14 [5376/47500]	Loss: 0.3345	LR: 0.004000
Training Epoch: 14 [5632/47500]	Loss: 0.3301	LR: 0.004000
Training Epoch: 14 [5888/47500]	Loss: 0.2550	LR: 0.004000
Training Epoch: 14 [6144/47500]	Loss: 0.2286	LR: 0.004000
Training Epoch: 14 [6400/47500]	Loss: 0.2701	LR: 0.004000
Training Epoch: 14 [6656/47500]	Loss: 0.2738	LR: 0.004000
Training Epoch: 14 [6912/47500]	Loss: 0.2787	LR: 0.004000
Training Epoch: 14 [7168/47500]	Loss: 0.2305	LR: 0.004000
Training Epoch: 14 [7424/47500]	Loss: 0.3255	LR: 0.004000
Training Epoch: 14 [7680/47500]	Loss: 0.2421	LR: 0.004000
Training Epoch: 14 [7936/47500]	Loss: 0.3343	LR: 0.004000
Training Epoch: 14 [8192/47500]	Loss: 0.3019	LR: 0.004000
Training Epoch: 14 [8448/47500]	Loss: 0.3306	LR: 0.004000
Training Epoch: 14 [8704/47500]	Loss: 0.3636	LR: 0.004000
Training Epoch: 14 [8960/47500]	Loss: 0.3098	LR: 0.004000
Training Epoch: 14 [9216/47500]	Loss: 0.2721	LR: 0.004000
Training Epoch: 14 [9472/47500]	Loss: 0.2590	LR: 0.004000
Training Epoch: 14 [9728/47500]	Loss: 0.2787	LR: 0.004000
Training Epoch: 14 [9984/47500]	Loss: 0.2410	LR: 0.004000
Training Epoch: 14 [10240/47500]	Loss: 0.2230	LR: 0.004000
Training Epoch: 14 [10496/47500]	Loss: 0.3178	LR: 0.004000
Training Epoch: 14 [10752/47500]	Loss: 0.3230	LR: 0.004000
Training Epoch: 14 [11008/47500]	Loss: 0.2635	LR: 0.004000
Training Epoch: 14 [11264/47500]	Loss: 0.2235	LR: 0.004000
Training Epoch: 14 [11520/47500]	Loss: 0.3302	LR: 0.004000
Training Epoch: 14 [11776/47500]	Loss: 0.2795	LR: 0.004000
Training Epoch: 14 [12032/47500]	Loss: 0.2289	LR: 0.004000
Training Epoch: 14 [12288/47500]	Loss: 0.3322	LR: 0.004000
Training Epoch: 14 [12544/47500]	Loss: 0.2537	LR: 0.004000
Training Epoch: 14 [12800/47500]	Loss: 0.3554	LR: 0.004000
Training Epoch: 14 [13056/47500]	Loss: 0.2507	LR: 0.004000
Training Epoch: 14 [13312/47500]	Loss: 0.2984	LR: 0.004000
Training Epoch: 14 [13568/47500]	Loss: 0.3091	LR: 0.004000
Training Epoch: 14 [13824/47500]	Loss: 0.2987	LR: 0.004000
Training Epoch: 14 [14080/47500]	Loss: 0.2723	LR: 0.004000
Training Epoch: 14 [14336/47500]	Loss: 0.3445	LR: 0.004000
Training Epoch: 14 [14592/47500]	Loss: 0.2338	LR: 0.004000
Training Epoch: 14 [14848/47500]	Loss: 0.2699	LR: 0.004000
Training Epoch: 14 [15104/47500]	Loss: 0.3341	LR: 0.004000
Training Epoch: 14 [15360/47500]	Loss: 0.2480	LR: 0.004000
Training Epoch: 14 [15616/47500]	Loss: 0.2468	LR: 0.004000
Training Epoch: 14 [15872/47500]	Loss: 0.2906	LR: 0.004000
Training Epoch: 14 [16128/47500]	Loss: 0.2737	LR: 0.004000
Training Epoch: 14 [16384/47500]	Loss: 0.2536	LR: 0.004000
Training Epoch: 14 [16640/47500]	Loss: 0.2305	LR: 0.004000
Training Epoch: 14 [16896/47500]	Loss: 0.2181	LR: 0.004000
Training Epoch: 14 [17152/47500]	Loss: 0.2505	LR: 0.004000
Training Epoch: 14 [17408/47500]	Loss: 0.2802	LR: 0.004000
Training Epoch: 14 [17664/47500]	Loss: 0.3198	LR: 0.004000
Training Epoch: 14 [17920/47500]	Loss: 0.2579	LR: 0.004000
Training Epoch: 14 [18176/47500]	Loss: 0.2932	LR: 0.004000
Training Epoch: 14 [18432/47500]	Loss: 0.2686	LR: 0.004000
Training Epoch: 14 [18688/47500]	Loss: 0.2322	LR: 0.004000
Training Epoch: 14 [18944/47500]	Loss: 0.2634	LR: 0.004000
Training Epoch: 14 [19200/47500]	Loss: 0.2667	LR: 0.004000
Training Epoch: 14 [19456/47500]	Loss: 0.3363	LR: 0.004000
Training Epoch: 14 [19712/47500]	Loss: 0.3428	LR: 0.004000
Training Epoch: 14 [19968/47500]	Loss: 0.2792	LR: 0.004000
Training Epoch: 14 [20224/47500]	Loss: 0.2437	LR: 0.004000
Training Epoch: 14 [20480/47500]	Loss: 0.2417	LR: 0.004000
Training Epoch: 14 [20736/47500]	Loss: 0.3221	LR: 0.004000
Training Epoch: 14 [20992/47500]	Loss: 0.2323	LR: 0.004000
Training Epoch: 14 [21248/47500]	Loss: 0.2651	LR: 0.004000
Training Epoch: 14 [21504/47500]	Loss: 0.2291	LR: 0.004000
Training Epoch: 14 [21760/47500]	Loss: 0.2944	LR: 0.004000
Training Epoch: 14 [22016/47500]	Loss: 0.2292	LR: 0.004000
Training Epoch: 14 [22272/47500]	Loss: 0.2827	LR: 0.004000
Training Epoch: 14 [22528/47500]	Loss: 0.3359	LR: 0.004000
Training Epoch: 14 [22784/47500]	Loss: 0.2823	LR: 0.004000
Training Epoch: 14 [23040/47500]	Loss: 0.2528	LR: 0.004000
Training Epoch: 14 [23296/47500]	Loss: 0.3281	LR: 0.004000
Training Epoch: 14 [23552/47500]	Loss: 0.1896	LR: 0.004000
Training Epoch: 14 [23808/47500]	Loss: 0.2426	LR: 0.004000
Training Epoch: 14 [24064/47500]	Loss: 0.2022	LR: 0.004000
Training Epoch: 14 [24320/47500]	Loss: 0.1826	LR: 0.004000
Training Epoch: 14 [24576/47500]	Loss: 0.2373	LR: 0.004000
Training Epoch: 14 [24832/47500]	Loss: 0.3252	LR: 0.004000
Training Epoch: 14 [25088/47500]	Loss: 0.2205	LR: 0.004000
Training Epoch: 14 [25344/47500]	Loss: 0.3151	LR: 0.004000
Training Epoch: 14 [25600/47500]	Loss: 0.3336	LR: 0.004000
Training Epoch: 14 [25856/47500]	Loss: 0.3111	LR: 0.004000
Training Epoch: 14 [26112/47500]	Loss: 0.2408	LR: 0.004000
Training Epoch: 14 [26368/47500]	Loss: 0.2864	LR: 0.004000
Training Epoch: 14 [26624/47500]	Loss: 0.3509	LR: 0.004000
Training Epoch: 14 [26880/47500]	Loss: 0.2483	LR: 0.004000
Training Epoch: 14 [27136/47500]	Loss: 0.3351	LR: 0.004000
Training Epoch: 14 [27392/47500]	Loss: 0.3093	LR: 0.004000
Training Epoch: 14 [27648/47500]	Loss: 0.2644	LR: 0.004000
Training Epoch: 14 [27904/47500]	Loss: 0.3377	LR: 0.004000
Training Epoch: 14 [28160/47500]	Loss: 0.3273	LR: 0.004000
Training Epoch: 14 [28416/47500]	Loss: 0.2404	LR: 0.004000
Training Epoch: 14 [28672/47500]	Loss: 0.3366	LR: 0.004000
Training Epoch: 14 [28928/47500]	Loss: 0.3168	LR: 0.004000
Training Epoch: 14 [29184/47500]	Loss: 0.3339	LR: 0.004000
Training Epoch: 14 [29440/47500]	Loss: 0.2256	LR: 0.004000
Training Epoch: 14 [29696/47500]	Loss: 0.3525	LR: 0.004000
Training Epoch: 14 [29952/47500]	Loss: 0.2662	LR: 0.004000
Training Epoch: 14 [30208/47500]	Loss: 0.3151	LR: 0.004000
Training Epoch: 14 [30464/47500]	Loss: 0.2403	LR: 0.004000
Training Epoch: 14 [30720/47500]	Loss: 0.3283	LR: 0.004000
Training Epoch: 14 [30976/47500]	Loss: 0.3121	LR: 0.004000
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Training Epoch: 14 [32256/47500]	Loss: 0.2419	LR: 0.004000
Training Epoch: 14 [32512/47500]	Loss: 0.2877	LR: 0.004000
Training Epoch: 14 [32768/47500]	Loss: 0.2376	LR: 0.004000
Training Epoch: 14 [33024/47500]	Loss: 0.2492	LR: 0.004000
Training Epoch: 14 [33280/47500]	Loss: 0.2931	LR: 0.004000
Training Epoch: 14 [33536/47500]	Loss: 0.3062	LR: 0.004000
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Training Epoch: 14 [34304/47500]	Loss: 0.3167	LR: 0.004000
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Training Epoch: 14 [35328/47500]	Loss: 0.3045	LR: 0.004000
Training Epoch: 14 [35584/47500]	Loss: 0.3179	LR: 0.004000
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Training Epoch: 14 [36096/47500]	Loss: 0.3165	LR: 0.004000
Training Epoch: 14 [36352/47500]	Loss: 0.2657	LR: 0.004000
Training Epoch: 14 [36608/47500]	Loss: 0.3239	LR: 0.004000
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Training Epoch: 14 [37376/47500]	Loss: 0.2956	LR: 0.004000
Training Epoch: 14 [37632/47500]	Loss: 0.3117	LR: 0.004000
Training Epoch: 14 [37888/47500]	Loss: 0.3434	LR: 0.004000
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Training Epoch: 14 [38656/47500]	Loss: 0.2651	LR: 0.004000
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Training Epoch: 14 [39424/47500]	Loss: 0.2755	LR: 0.004000
Training Epoch: 14 [39680/47500]	Loss: 0.2987	LR: 0.004000
Training Epoch: 14 [39936/47500]	Loss: 0.3397	LR: 0.004000
Training Epoch: 14 [40192/47500]	Loss: 0.3963	LR: 0.004000
Training Epoch: 14 [40448/47500]	Loss: 0.2468	LR: 0.004000
Training Epoch: 14 [40704/47500]	Loss: 0.2792	LR: 0.004000
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Training Epoch: 14 [42752/47500]	Loss: 0.2193	LR: 0.004000
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Training Epoch: 14 [47360/47500]	Loss: 0.3086	LR: 0.004000
Training Epoch: 14 [47500/47500]	Loss: 0.3239	LR: 0.004000
Epoch 14 - Average Train Loss: 0.2894, Train Accuracy: 0.8967
Epoch 14 training time consumed: 28.93s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0013, Accuracy: 0.8906, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_11h_01m_03s/ResNet18-Cifar10-seed5-ret50-14-best.pth
Training Epoch: 15 [256/47500]	Loss: 0.2093	LR: 0.004000
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Training Epoch: 15 [47500/47500]	Loss: 0.2622	LR: 0.004000
Epoch 15 - Average Train Loss: 0.2832, Train Accuracy: 0.9014
Epoch 15 training time consumed: 28.84s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0013, Accuracy: 0.8907, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_11h_01m_03s/ResNet18-Cifar10-seed5-ret50-15-best.pth
Training Epoch: 16 [256/47500]	Loss: 0.3055	LR: 0.000800
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Training Epoch: 16 [47500/47500]	Loss: 0.3493	LR: 0.000800
Epoch 16 - Average Train Loss: 0.2729, Train Accuracy: 0.9048
Epoch 16 training time consumed: 29.01s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0013, Accuracy: 0.8948, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_11h_01m_03s/ResNet18-Cifar10-seed5-ret50-16-best.pth
Training Epoch: 17 [256/47500]	Loss: 0.2695	LR: 0.000800
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Training Epoch: 17 [45056/47500]	Loss: 0.2579	LR: 0.000800
Training Epoch: 17 [45312/47500]	Loss: 0.2179	LR: 0.000800
Training Epoch: 17 [45568/47500]	Loss: 0.2936	LR: 0.000800
Training Epoch: 17 [45824/47500]	Loss: 0.2665	LR: 0.000800
Training Epoch: 17 [46080/47500]	Loss: 0.3104	LR: 0.000800
Training Epoch: 17 [46336/47500]	Loss: 0.2455	LR: 0.000800
Training Epoch: 17 [46592/47500]	Loss: 0.2642	LR: 0.000800
Training Epoch: 17 [46848/47500]	Loss: 0.2296	LR: 0.000800
Training Epoch: 17 [47104/47500]	Loss: 0.2210	LR: 0.000800
Training Epoch: 17 [47360/47500]	Loss: 0.2435	LR: 0.000800
Training Epoch: 17 [47500/47500]	Loss: 0.2314	LR: 0.000800
Epoch 17 - Average Train Loss: 0.2695, Train Accuracy: 0.9069
Epoch 17 training time consumed: 28.92s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0013, Accuracy: 0.8946, Time consumed:0.90s
Training Epoch: 18 [256/47500]	Loss: 0.2875	LR: 0.000800
Training Epoch: 18 [512/47500]	Loss: 0.1749	LR: 0.000800
Training Epoch: 18 [768/47500]	Loss: 0.4057	LR: 0.000800
Training Epoch: 18 [1024/47500]	Loss: 0.1975	LR: 0.000800
Training Epoch: 18 [1280/47500]	Loss: 0.2865	LR: 0.000800
Training Epoch: 18 [1536/47500]	Loss: 0.2250	LR: 0.000800
Training Epoch: 18 [1792/47500]	Loss: 0.2297	LR: 0.000800
Training Epoch: 18 [2048/47500]	Loss: 0.2919	LR: 0.000800
Training Epoch: 18 [2304/47500]	Loss: 0.1766	LR: 0.000800
Training Epoch: 18 [2560/47500]	Loss: 0.3125	LR: 0.000800
Training Epoch: 18 [2816/47500]	Loss: 0.3609	LR: 0.000800
Training Epoch: 18 [3072/47500]	Loss: 0.2365	LR: 0.000800
Training Epoch: 18 [3328/47500]	Loss: 0.2557	LR: 0.000800
Training Epoch: 18 [3584/47500]	Loss: 0.3098	LR: 0.000800
Training Epoch: 18 [3840/47500]	Loss: 0.2681	LR: 0.000800
Training Epoch: 18 [4096/47500]	Loss: 0.2927	LR: 0.000800
Training Epoch: 18 [4352/47500]	Loss: 0.2977	LR: 0.000800
Training Epoch: 18 [4608/47500]	Loss: 0.2590	LR: 0.000800
Training Epoch: 18 [4864/47500]	Loss: 0.2097	LR: 0.000800
Training Epoch: 18 [5120/47500]	Loss: 0.2932	LR: 0.000800
Training Epoch: 18 [5376/47500]	Loss: 0.3523	LR: 0.000800
Training Epoch: 18 [5632/47500]	Loss: 0.1987	LR: 0.000800
Training Epoch: 18 [5888/47500]	Loss: 0.3283	LR: 0.000800
Training Epoch: 18 [6144/47500]	Loss: 0.2771	LR: 0.000800
Training Epoch: 18 [6400/47500]	Loss: 0.2638	LR: 0.000800
Training Epoch: 18 [6656/47500]	Loss: 0.2542	LR: 0.000800
Training Epoch: 18 [6912/47500]	Loss: 0.3037	LR: 0.000800
Training Epoch: 18 [7168/47500]	Loss: 0.2601	LR: 0.000800
Training Epoch: 18 [7424/47500]	Loss: 0.2411	LR: 0.000800
Training Epoch: 18 [7680/47500]	Loss: 0.2265	LR: 0.000800
Training Epoch: 18 [7936/47500]	Loss: 0.2396	LR: 0.000800
Training Epoch: 18 [8192/47500]	Loss: 0.2229	LR: 0.000800
Training Epoch: 18 [8448/47500]	Loss: 0.2616	LR: 0.000800
Training Epoch: 18 [8704/47500]	Loss: 0.2229	LR: 0.000800
Training Epoch: 18 [8960/47500]	Loss: 0.2876	LR: 0.000800
Training Epoch: 18 [9216/47500]	Loss: 0.2270	LR: 0.000800
Training Epoch: 18 [9472/47500]	Loss: 0.2111	LR: 0.000800
Training Epoch: 18 [9728/47500]	Loss: 0.2469	LR: 0.000800
Training Epoch: 18 [9984/47500]	Loss: 0.1865	LR: 0.000800
Training Epoch: 18 [10240/47500]	Loss: 0.3365	LR: 0.000800
Training Epoch: 18 [10496/47500]	Loss: 0.2018	LR: 0.000800
Training Epoch: 18 [10752/47500]	Loss: 0.3333	LR: 0.000800
Training Epoch: 18 [11008/47500]	Loss: 0.2473	LR: 0.000800
Training Epoch: 18 [11264/47500]	Loss: 0.2758	LR: 0.000800
Training Epoch: 18 [11520/47500]	Loss: 0.2463	LR: 0.000800
Training Epoch: 18 [11776/47500]	Loss: 0.2471	LR: 0.000800
Training Epoch: 18 [12032/47500]	Loss: 0.3246	LR: 0.000800
Training Epoch: 18 [12288/47500]	Loss: 0.3072	LR: 0.000800
Training Epoch: 18 [12544/47500]	Loss: 0.2678	LR: 0.000800
Training Epoch: 18 [12800/47500]	Loss: 0.2872	LR: 0.000800
Training Epoch: 18 [13056/47500]	Loss: 0.2476	LR: 0.000800
Training Epoch: 18 [13312/47500]	Loss: 0.2764	LR: 0.000800
Training Epoch: 18 [13568/47500]	Loss: 0.2362	LR: 0.000800
Training Epoch: 18 [13824/47500]	Loss: 0.2985	LR: 0.000800
Training Epoch: 18 [14080/47500]	Loss: 0.2717	LR: 0.000800
Training Epoch: 18 [14336/47500]	Loss: 0.2303	LR: 0.000800
Training Epoch: 18 [14592/47500]	Loss: 0.2474	LR: 0.000800
Training Epoch: 18 [14848/47500]	Loss: 0.2254	LR: 0.000800
Training Epoch: 18 [15104/47500]	Loss: 0.2333	LR: 0.000800
Training Epoch: 18 [15360/47500]	Loss: 0.2371	LR: 0.000800
Training Epoch: 18 [15616/47500]	Loss: 0.2875	LR: 0.000800
Training Epoch: 18 [15872/47500]	Loss: 0.2753	LR: 0.000800
Training Epoch: 18 [16128/47500]	Loss: 0.2951	LR: 0.000800
Training Epoch: 18 [16384/47500]	Loss: 0.2933	LR: 0.000800
Training Epoch: 18 [16640/47500]	Loss: 0.2857	LR: 0.000800
Training Epoch: 18 [16896/47500]	Loss: 0.2624	LR: 0.000800
Training Epoch: 18 [17152/47500]	Loss: 0.2280	LR: 0.000800
Training Epoch: 18 [17408/47500]	Loss: 0.2567	LR: 0.000800
Training Epoch: 18 [17664/47500]	Loss: 0.2977	LR: 0.000800
Training Epoch: 18 [17920/47500]	Loss: 0.2989	LR: 0.000800
Training Epoch: 18 [18176/47500]	Loss: 0.2280	LR: 0.000800
Training Epoch: 18 [18432/47500]	Loss: 0.2990	LR: 0.000800
Training Epoch: 18 [18688/47500]	Loss: 0.3223	LR: 0.000800
Training Epoch: 18 [18944/47500]	Loss: 0.2386	LR: 0.000800
Training Epoch: 18 [19200/47500]	Loss: 0.2097	LR: 0.000800
Training Epoch: 18 [19456/47500]	Loss: 0.2833	LR: 0.000800
Training Epoch: 18 [19712/47500]	Loss: 0.2461	LR: 0.000800
Training Epoch: 18 [19968/47500]	Loss: 0.2691	LR: 0.000800
Training Epoch: 18 [20224/47500]	Loss: 0.3387	LR: 0.000800
Training Epoch: 18 [20480/47500]	Loss: 0.3381	LR: 0.000800
Training Epoch: 18 [20736/47500]	Loss: 0.2206	LR: 0.000800
Training Epoch: 18 [20992/47500]	Loss: 0.2060	LR: 0.000800
Training Epoch: 18 [21248/47500]	Loss: 0.2772	LR: 0.000800
Training Epoch: 18 [21504/47500]	Loss: 0.2751	LR: 0.000800
Training Epoch: 18 [21760/47500]	Loss: 0.2689	LR: 0.000800
Training Epoch: 18 [22016/47500]	Loss: 0.2883	LR: 0.000800
Training Epoch: 18 [22272/47500]	Loss: 0.2301	LR: 0.000800
Training Epoch: 18 [22528/47500]	Loss: 0.2139	LR: 0.000800
Training Epoch: 18 [22784/47500]	Loss: 0.2168	LR: 0.000800
Training Epoch: 18 [23040/47500]	Loss: 0.2270	LR: 0.000800
Training Epoch: 18 [23296/47500]	Loss: 0.2524	LR: 0.000800
Training Epoch: 18 [23552/47500]	Loss: 0.2961	LR: 0.000800
Training Epoch: 18 [23808/47500]	Loss: 0.2576	LR: 0.000800
Training Epoch: 18 [24064/47500]	Loss: 0.3104	LR: 0.000800
Training Epoch: 18 [24320/47500]	Loss: 0.2167	LR: 0.000800
Training Epoch: 18 [24576/47500]	Loss: 0.2800	LR: 0.000800
Training Epoch: 18 [24832/47500]	Loss: 0.2679	LR: 0.000800
Training Epoch: 18 [25088/47500]	Loss: 0.2600	LR: 0.000800
Training Epoch: 18 [25344/47500]	Loss: 0.2273	LR: 0.000800
Training Epoch: 18 [25600/47500]	Loss: 0.3503	LR: 0.000800
Training Epoch: 18 [25856/47500]	Loss: 0.3769	LR: 0.000800
Training Epoch: 18 [26112/47500]	Loss: 0.3302	LR: 0.000800
Training Epoch: 18 [26368/47500]	Loss: 0.2930	LR: 0.000800
Training Epoch: 18 [26624/47500]	Loss: 0.2984	LR: 0.000800
Training Epoch: 18 [26880/47500]	Loss: 0.2385	LR: 0.000800
Training Epoch: 18 [27136/47500]	Loss: 0.3034	LR: 0.000800
Training Epoch: 18 [27392/47500]	Loss: 0.3115	LR: 0.000800
Training Epoch: 18 [27648/47500]	Loss: 0.3304	LR: 0.000800
Training Epoch: 18 [27904/47500]	Loss: 0.2342	LR: 0.000800
Training Epoch: 18 [28160/47500]	Loss: 0.2317	LR: 0.000800
Training Epoch: 18 [28416/47500]	Loss: 0.3536	LR: 0.000800
Training Epoch: 18 [28672/47500]	Loss: 0.2818	LR: 0.000800
Training Epoch: 18 [28928/47500]	Loss: 0.3092	LR: 0.000800
Training Epoch: 18 [29184/47500]	Loss: 0.2362	LR: 0.000800
Training Epoch: 18 [29440/47500]	Loss: 0.2469	LR: 0.000800
Training Epoch: 18 [29696/47500]	Loss: 0.2460	LR: 0.000800
Training Epoch: 18 [29952/47500]	Loss: 0.3046	LR: 0.000800
Training Epoch: 18 [30208/47500]	Loss: 0.2521	LR: 0.000800
Training Epoch: 18 [30464/47500]	Loss: 0.3040	LR: 0.000800
Training Epoch: 18 [30720/47500]	Loss: 0.2555	LR: 0.000800
Training Epoch: 18 [30976/47500]	Loss: 0.3143	LR: 0.000800
Training Epoch: 18 [31232/47500]	Loss: 0.2384	LR: 0.000800
Training Epoch: 18 [31488/47500]	Loss: 0.2477	LR: 0.000800
Training Epoch: 18 [31744/47500]	Loss: 0.2614	LR: 0.000800
Training Epoch: 18 [32000/47500]	Loss: 0.2665	LR: 0.000800
Training Epoch: 18 [32256/47500]	Loss: 0.2307	LR: 0.000800
Training Epoch: 18 [32512/47500]	Loss: 0.2806	LR: 0.000800
Training Epoch: 18 [32768/47500]	Loss: 0.2712	LR: 0.000800
Training Epoch: 18 [33024/47500]	Loss: 0.3178	LR: 0.000800
Training Epoch: 18 [33280/47500]	Loss: 0.3447	LR: 0.000800
Training Epoch: 18 [33536/47500]	Loss: 0.2298	LR: 0.000800
Training Epoch: 18 [33792/47500]	Loss: 0.2374	LR: 0.000800
Training Epoch: 18 [34048/47500]	Loss: 0.3458	LR: 0.000800
Training Epoch: 18 [34304/47500]	Loss: 0.3214	LR: 0.000800
Training Epoch: 18 [34560/47500]	Loss: 0.2417	LR: 0.000800
Training Epoch: 18 [34816/47500]	Loss: 0.2147	LR: 0.000800
Training Epoch: 18 [35072/47500]	Loss: 0.2773	LR: 0.000800
Training Epoch: 18 [35328/47500]	Loss: 0.2996	LR: 0.000800
Training Epoch: 18 [35584/47500]	Loss: 0.2652	LR: 0.000800
Training Epoch: 18 [35840/47500]	Loss: 0.2600	LR: 0.000800
Training Epoch: 18 [36096/47500]	Loss: 0.2443	LR: 0.000800
Training Epoch: 18 [36352/47500]	Loss: 0.2267	LR: 0.000800
Training Epoch: 18 [36608/47500]	Loss: 0.2958	LR: 0.000800
Training Epoch: 18 [36864/47500]	Loss: 0.2972	LR: 0.000800
Training Epoch: 18 [37120/47500]	Loss: 0.2722	LR: 0.000800
Training Epoch: 18 [37376/47500]	Loss: 0.2844	LR: 0.000800
Training Epoch: 18 [37632/47500]	Loss: 0.2430	LR: 0.000800
Training Epoch: 18 [37888/47500]	Loss: 0.2767	LR: 0.000800
Training Epoch: 18 [38144/47500]	Loss: 0.2992	LR: 0.000800
Training Epoch: 18 [38400/47500]	Loss: 0.2632	LR: 0.000800
Training Epoch: 18 [38656/47500]	Loss: 0.2481	LR: 0.000800
Training Epoch: 18 [38912/47500]	Loss: 0.3106	LR: 0.000800
Training Epoch: 18 [39168/47500]	Loss: 0.2184	LR: 0.000800
Training Epoch: 18 [39424/47500]	Loss: 0.2181	LR: 0.000800
Training Epoch: 18 [39680/47500]	Loss: 0.2544	LR: 0.000800
Training Epoch: 18 [39936/47500]	Loss: 0.2520	LR: 0.000800
Training Epoch: 18 [40192/47500]	Loss: 0.2819	LR: 0.000800
Training Epoch: 18 [40448/47500]	Loss: 0.2798	LR: 0.000800
Training Epoch: 18 [40704/47500]	Loss: 0.2321	LR: 0.000800
Training Epoch: 18 [40960/47500]	Loss: 0.2733	LR: 0.000800
Training Epoch: 18 [41216/47500]	Loss: 0.2980	LR: 0.000800
Training Epoch: 18 [41472/47500]	Loss: 0.2371	LR: 0.000800
Training Epoch: 18 [41728/47500]	Loss: 0.2623	LR: 0.000800
Training Epoch: 18 [41984/47500]	Loss: 0.3022	LR: 0.000800
Training Epoch: 18 [42240/47500]	Loss: 0.2119	LR: 0.000800
Training Epoch: 18 [42496/47500]	Loss: 0.2441	LR: 0.000800
Training Epoch: 18 [42752/47500]	Loss: 0.2498	LR: 0.000800
Training Epoch: 18 [43008/47500]	Loss: 0.3091	LR: 0.000800
Training Epoch: 18 [43264/47500]	Loss: 0.3316	LR: 0.000800
Training Epoch: 18 [43520/47500]	Loss: 0.3261	LR: 0.000800
Training Epoch: 18 [43776/47500]	Loss: 0.1850	LR: 0.000800
Training Epoch: 18 [44032/47500]	Loss: 0.2638	LR: 0.000800
Training Epoch: 18 [44288/47500]	Loss: 0.2333	LR: 0.000800
Training Epoch: 18 [44544/47500]	Loss: 0.3043	LR: 0.000800
Training Epoch: 18 [44800/47500]	Loss: 0.2215	LR: 0.000800
Training Epoch: 18 [45056/47500]	Loss: 0.2580	LR: 0.000800
Training Epoch: 18 [45312/47500]	Loss: 0.1975	LR: 0.000800
Training Epoch: 18 [45568/47500]	Loss: 0.2443	LR: 0.000800
Training Epoch: 18 [45824/47500]	Loss: 0.2746	LR: 0.000800
Training Epoch: 18 [46080/47500]	Loss: 0.2295	LR: 0.000800
Training Epoch: 18 [46336/47500]	Loss: 0.2682	LR: 0.000800
Training Epoch: 18 [46592/47500]	Loss: 0.2284	LR: 0.000800
Training Epoch: 18 [46848/47500]	Loss: 0.2710	LR: 0.000800
Training Epoch: 18 [47104/47500]	Loss: 0.2794	LR: 0.000800
Training Epoch: 18 [47360/47500]	Loss: 0.2659	LR: 0.000800
Training Epoch: 18 [47500/47500]	Loss: 0.3146	LR: 0.000800
Epoch 18 - Average Train Loss: 0.2673, Train Accuracy: 0.9065
Epoch 18 training time consumed: 28.91s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0013, Accuracy: 0.8937, Time consumed:0.92s
Training Epoch: 19 [256/47500]	Loss: 0.2337	LR: 0.000800
Training Epoch: 19 [512/47500]	Loss: 0.2390	LR: 0.000800
Training Epoch: 19 [768/47500]	Loss: 0.2509	LR: 0.000800
Training Epoch: 19 [1024/47500]	Loss: 0.2923	LR: 0.000800
Training Epoch: 19 [1280/47500]	Loss: 0.2612	LR: 0.000800
Training Epoch: 19 [1536/47500]	Loss: 0.2631	LR: 0.000800
Training Epoch: 19 [1792/47500]	Loss: 0.2605	LR: 0.000800
Training Epoch: 19 [2048/47500]	Loss: 0.2235	LR: 0.000800
Training Epoch: 19 [2304/47500]	Loss: 0.2832	LR: 0.000800
Training Epoch: 19 [2560/47500]	Loss: 0.2920	LR: 0.000800
Training Epoch: 19 [2816/47500]	Loss: 0.2175	LR: 0.000800
Training Epoch: 19 [3072/47500]	Loss: 0.3092	LR: 0.000800
Training Epoch: 19 [3328/47500]	Loss: 0.2853	LR: 0.000800
Training Epoch: 19 [3584/47500]	Loss: 0.2069	LR: 0.000800
Training Epoch: 19 [3840/47500]	Loss: 0.2616	LR: 0.000800
Training Epoch: 19 [4096/47500]	Loss: 0.3097	LR: 0.000800
Training Epoch: 19 [4352/47500]	Loss: 0.3071	LR: 0.000800
Training Epoch: 19 [4608/47500]	Loss: 0.2877	LR: 0.000800
Training Epoch: 19 [4864/47500]	Loss: 0.2088	LR: 0.000800
Training Epoch: 19 [5120/47500]	Loss: 0.3590	LR: 0.000800
Training Epoch: 19 [5376/47500]	Loss: 0.3335	LR: 0.000800
Training Epoch: 19 [5632/47500]	Loss: 0.1868	LR: 0.000800
Training Epoch: 19 [5888/47500]	Loss: 0.2315	LR: 0.000800
Training Epoch: 19 [6144/47500]	Loss: 0.2597	LR: 0.000800
Training Epoch: 19 [6400/47500]	Loss: 0.3015	LR: 0.000800
Training Epoch: 19 [6656/47500]	Loss: 0.2598	LR: 0.000800
Training Epoch: 19 [6912/47500]	Loss: 0.3189	LR: 0.000800
Training Epoch: 19 [7168/47500]	Loss: 0.2521	LR: 0.000800
Training Epoch: 19 [7424/47500]	Loss: 0.2465	LR: 0.000800
Training Epoch: 19 [7680/47500]	Loss: 0.2540	LR: 0.000800
Training Epoch: 19 [7936/47500]	Loss: 0.1820	LR: 0.000800
Training Epoch: 19 [8192/47500]	Loss: 0.2911	LR: 0.000800
Training Epoch: 19 [8448/47500]	Loss: 0.2587	LR: 0.000800
Training Epoch: 19 [8704/47500]	Loss: 0.2221	LR: 0.000800
Training Epoch: 19 [8960/47500]	Loss: 0.2713	LR: 0.000800
Training Epoch: 19 [9216/47500]	Loss: 0.2994	LR: 0.000800
Training Epoch: 19 [9472/47500]	Loss: 0.2858	LR: 0.000800
Training Epoch: 19 [9728/47500]	Loss: 0.2531	LR: 0.000800
Training Epoch: 19 [9984/47500]	Loss: 0.2745	LR: 0.000800
Training Epoch: 19 [10240/47500]	Loss: 0.2305	LR: 0.000800
Training Epoch: 19 [10496/47500]	Loss: 0.2146	LR: 0.000800
Training Epoch: 19 [10752/47500]	Loss: 0.3067	LR: 0.000800
Training Epoch: 19 [11008/47500]	Loss: 0.2959	LR: 0.000800
Training Epoch: 19 [11264/47500]	Loss: 0.2426	LR: 0.000800
Training Epoch: 19 [11520/47500]	Loss: 0.2591	LR: 0.000800
Training Epoch: 19 [11776/47500]	Loss: 0.2662	LR: 0.000800
Training Epoch: 19 [12032/47500]	Loss: 0.2311	LR: 0.000800
Training Epoch: 19 [12288/47500]	Loss: 0.2810	LR: 0.000800
Training Epoch: 19 [12544/47500]	Loss: 0.2493	LR: 0.000800
Training Epoch: 19 [12800/47500]	Loss: 0.2562	LR: 0.000800
Training Epoch: 19 [13056/47500]	Loss: 0.2568	LR: 0.000800
Training Epoch: 19 [13312/47500]	Loss: 0.3034	LR: 0.000800
Training Epoch: 19 [13568/47500]	Loss: 0.2241	LR: 0.000800
Training Epoch: 19 [13824/47500]	Loss: 0.3086	LR: 0.000800
Training Epoch: 19 [14080/47500]	Loss: 0.2818	LR: 0.000800
Training Epoch: 19 [14336/47500]	Loss: 0.3413	LR: 0.000800
Training Epoch: 19 [14592/47500]	Loss: 0.2947	LR: 0.000800
Training Epoch: 19 [14848/47500]	Loss: 0.2309	LR: 0.000800
Training Epoch: 19 [15104/47500]	Loss: 0.3265	LR: 0.000800
Training Epoch: 19 [15360/47500]	Loss: 0.2531	LR: 0.000800
Training Epoch: 19 [15616/47500]	Loss: 0.2779	LR: 0.000800
Training Epoch: 19 [15872/47500]	Loss: 0.2779	LR: 0.000800
Training Epoch: 19 [16128/47500]	Loss: 0.2645	LR: 0.000800
Training Epoch: 19 [16384/47500]	Loss: 0.2588	LR: 0.000800
Training Epoch: 19 [16640/47500]	Loss: 0.1904	LR: 0.000800
Training Epoch: 19 [16896/47500]	Loss: 0.1771	LR: 0.000800
Training Epoch: 19 [17152/47500]	Loss: 0.2866	LR: 0.000800
Training Epoch: 19 [17408/47500]	Loss: 0.2614	LR: 0.000800
Training Epoch: 19 [17664/47500]	Loss: 0.2267	LR: 0.000800
Training Epoch: 19 [17920/47500]	Loss: 0.2420	LR: 0.000800
Training Epoch: 19 [18176/47500]	Loss: 0.2879	LR: 0.000800
Training Epoch: 19 [18432/47500]	Loss: 0.2553	LR: 0.000800
Training Epoch: 19 [18688/47500]	Loss: 0.2539	LR: 0.000800
Training Epoch: 19 [18944/47500]	Loss: 0.3380	LR: 0.000800
Training Epoch: 19 [19200/47500]	Loss: 0.3146	LR: 0.000800
Training Epoch: 19 [19456/47500]	Loss: 0.2582	LR: 0.000800
Training Epoch: 19 [19712/47500]	Loss: 0.2832	LR: 0.000800
Training Epoch: 19 [19968/47500]	Loss: 0.2581	LR: 0.000800
Training Epoch: 19 [20224/47500]	Loss: 0.2365	LR: 0.000800
Training Epoch: 19 [20480/47500]	Loss: 0.2388	LR: 0.000800
Training Epoch: 19 [20736/47500]	Loss: 0.2544	LR: 0.000800
Training Epoch: 19 [20992/47500]	Loss: 0.2247	LR: 0.000800
Training Epoch: 19 [21248/47500]	Loss: 0.3165	LR: 0.000800
Training Epoch: 19 [21504/47500]	Loss: 0.2318	LR: 0.000800
Training Epoch: 19 [21760/47500]	Loss: 0.2228	LR: 0.000800
Training Epoch: 19 [22016/47500]	Loss: 0.2404	LR: 0.000800
Training Epoch: 19 [22272/47500]	Loss: 0.2533	LR: 0.000800
Training Epoch: 19 [22528/47500]	Loss: 0.2342	LR: 0.000800
Training Epoch: 19 [22784/47500]	Loss: 0.2868	LR: 0.000800
Training Epoch: 19 [23040/47500]	Loss: 0.2451	LR: 0.000800
Training Epoch: 19 [23296/47500]	Loss: 0.2111	LR: 0.000800
Training Epoch: 19 [23552/47500]	Loss: 0.2436	LR: 0.000800
Training Epoch: 19 [23808/47500]	Loss: 0.2609	LR: 0.000800
Training Epoch: 19 [24064/47500]	Loss: 0.2097	LR: 0.000800
Training Epoch: 19 [24320/47500]	Loss: 0.3142	LR: 0.000800
Training Epoch: 19 [24576/47500]	Loss: 0.3480	LR: 0.000800
Training Epoch: 19 [24832/47500]	Loss: 0.2817	LR: 0.000800
Training Epoch: 19 [25088/47500]	Loss: 0.2854	LR: 0.000800
Training Epoch: 19 [25344/47500]	Loss: 0.2734	LR: 0.000800
Training Epoch: 19 [25600/47500]	Loss: 0.2712	LR: 0.000800
Training Epoch: 19 [25856/47500]	Loss: 0.3507	LR: 0.000800
Training Epoch: 19 [26112/47500]	Loss: 0.2626	LR: 0.000800
Training Epoch: 19 [26368/47500]	Loss: 0.2548	LR: 0.000800
Training Epoch: 19 [26624/47500]	Loss: 0.2388	LR: 0.000800
Training Epoch: 19 [26880/47500]	Loss: 0.1944	LR: 0.000800
Training Epoch: 19 [27136/47500]	Loss: 0.2696	LR: 0.000800
Training Epoch: 19 [27392/47500]	Loss: 0.2429	LR: 0.000800
Training Epoch: 19 [27648/47500]	Loss: 0.3041	LR: 0.000800
Training Epoch: 19 [27904/47500]	Loss: 0.2259	LR: 0.000800
Training Epoch: 19 [28160/47500]	Loss: 0.2773	LR: 0.000800
Training Epoch: 19 [28416/47500]	Loss: 0.2908	LR: 0.000800
Training Epoch: 19 [28672/47500]	Loss: 0.2758	LR: 0.000800
Training Epoch: 19 [28928/47500]	Loss: 0.2454	LR: 0.000800
Training Epoch: 19 [29184/47500]	Loss: 0.2763	LR: 0.000800
Training Epoch: 19 [29440/47500]	Loss: 0.2881	LR: 0.000800
Training Epoch: 19 [29696/47500]	Loss: 0.2252	LR: 0.000800
Training Epoch: 19 [29952/47500]	Loss: 0.2047	LR: 0.000800
Training Epoch: 19 [30208/47500]	Loss: 0.2649	LR: 0.000800
Training Epoch: 19 [30464/47500]	Loss: 0.3124	LR: 0.000800
Training Epoch: 19 [30720/47500]	Loss: 0.2736	LR: 0.000800
Training Epoch: 19 [30976/47500]	Loss: 0.3948	LR: 0.000800
Training Epoch: 19 [31232/47500]	Loss: 0.2318	LR: 0.000800
Training Epoch: 19 [31488/47500]	Loss: 0.2765	LR: 0.000800
Training Epoch: 19 [31744/47500]	Loss: 0.2267	LR: 0.000800
Training Epoch: 19 [32000/47500]	Loss: 0.2720	LR: 0.000800
Training Epoch: 19 [32256/47500]	Loss: 0.2617	LR: 0.000800
Training Epoch: 19 [32512/47500]	Loss: 0.2221	LR: 0.000800
Training Epoch: 19 [32768/47500]	Loss: 0.2589	LR: 0.000800
Training Epoch: 19 [33024/47500]	Loss: 0.2725	LR: 0.000800
Training Epoch: 19 [33280/47500]	Loss: 0.2359	LR: 0.000800
Training Epoch: 19 [33536/47500]	Loss: 0.2990	LR: 0.000800
Training Epoch: 19 [33792/47500]	Loss: 0.2596	LR: 0.000800
Training Epoch: 19 [34048/47500]	Loss: 0.2814	LR: 0.000800
Training Epoch: 19 [34304/47500]	Loss: 0.2648	LR: 0.000800
Training Epoch: 19 [34560/47500]	Loss: 0.2543	LR: 0.000800
Training Epoch: 19 [34816/47500]	Loss: 0.2772	LR: 0.000800
Training Epoch: 19 [35072/47500]	Loss: 0.3345	LR: 0.000800
Training Epoch: 19 [35328/47500]	Loss: 0.2461	LR: 0.000800
Training Epoch: 19 [35584/47500]	Loss: 0.3112	LR: 0.000800
Training Epoch: 19 [35840/47500]	Loss: 0.3204	LR: 0.000800
Training Epoch: 19 [36096/47500]	Loss: 0.2540	LR: 0.000800
Training Epoch: 19 [36352/47500]	Loss: 0.1992	LR: 0.000800
Training Epoch: 19 [36608/47500]	Loss: 0.2272	LR: 0.000800
Training Epoch: 19 [36864/47500]	Loss: 0.2661	LR: 0.000800
Training Epoch: 19 [37120/47500]	Loss: 0.2544	LR: 0.000800
Training Epoch: 19 [37376/47500]	Loss: 0.2305	LR: 0.000800
Training Epoch: 19 [37632/47500]	Loss: 0.2954	LR: 0.000800
Training Epoch: 19 [37888/47500]	Loss: 0.3601	LR: 0.000800
Training Epoch: 19 [38144/47500]	Loss: 0.2807	LR: 0.000800
Training Epoch: 19 [38400/47500]	Loss: 0.2960	LR: 0.000800
Training Epoch: 19 [38656/47500]	Loss: 0.3010	LR: 0.000800
Training Epoch: 19 [38912/47500]	Loss: 0.3568	LR: 0.000800
Training Epoch: 19 [39168/47500]	Loss: 0.3134	LR: 0.000800
Training Epoch: 19 [39424/47500]	Loss: 0.2762	LR: 0.000800
Training Epoch: 19 [39680/47500]	Loss: 0.2949	LR: 0.000800
Training Epoch: 19 [39936/47500]	Loss: 0.2731	LR: 0.000800
Training Epoch: 19 [40192/47500]	Loss: 0.2622	LR: 0.000800
Training Epoch: 19 [40448/47500]	Loss: 0.2332	LR: 0.000800
Training Epoch: 19 [40704/47500]	Loss: 0.2653	LR: 0.000800
Training Epoch: 19 [40960/47500]	Loss: 0.3744	LR: 0.000800
Training Epoch: 19 [41216/47500]	Loss: 0.2309	LR: 0.000800
Training Epoch: 19 [41472/47500]	Loss: 0.2590	LR: 0.000800
Training Epoch: 19 [41728/47500]	Loss: 0.1691	LR: 0.000800
Training Epoch: 19 [41984/47500]	Loss: 0.2474	LR: 0.000800
Training Epoch: 19 [42240/47500]	Loss: 0.2249	LR: 0.000800
Training Epoch: 19 [42496/47500]	Loss: 0.3198	LR: 0.000800
Training Epoch: 19 [42752/47500]	Loss: 0.2610	LR: 0.000800
Training Epoch: 19 [43008/47500]	Loss: 0.2933	LR: 0.000800
Training Epoch: 19 [43264/47500]	Loss: 0.2036	LR: 0.000800
Training Epoch: 19 [43520/47500]	Loss: 0.2403	LR: 0.000800
Training Epoch: 19 [43776/47500]	Loss: 0.2152	LR: 0.000800
Training Epoch: 19 [44032/47500]	Loss: 0.2159	LR: 0.000800
Training Epoch: 19 [44288/47500]	Loss: 0.2193	LR: 0.000800
Training Epoch: 19 [44544/47500]	Loss: 0.3388	LR: 0.000800
Training Epoch: 19 [44800/47500]	Loss: 0.2357	LR: 0.000800
Training Epoch: 19 [45056/47500]	Loss: 0.2954	LR: 0.000800
Training Epoch: 19 [45312/47500]	Loss: 0.2896	LR: 0.000800
Training Epoch: 19 [45568/47500]	Loss: 0.2758	LR: 0.000800
Training Epoch: 19 [45824/47500]	Loss: 0.2790	LR: 0.000800
Training Epoch: 19 [46080/47500]	Loss: 0.2712	LR: 0.000800
Training Epoch: 19 [46336/47500]	Loss: 0.3838	LR: 0.000800
Training Epoch: 19 [46592/47500]	Loss: 0.1973	LR: 0.000800
Training Epoch: 19 [46848/47500]	Loss: 0.2076	LR: 0.000800
Training Epoch: 19 [47104/47500]	Loss: 0.3082	LR: 0.000800
Training Epoch: 19 [47360/47500]	Loss: 0.3890	LR: 0.000800
Training Epoch: 19 [47500/47500]	Loss: 0.2559	LR: 0.000800
Epoch 19 - Average Train Loss: 0.2667, Train Accuracy: 0.9058
Epoch 19 training time consumed: 29.25s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0013, Accuracy: 0.8930, Time consumed:0.90s
Training Epoch: 20 [256/47500]	Loss: 0.2485	LR: 0.000800
Training Epoch: 20 [512/47500]	Loss: 0.2810	LR: 0.000800
Training Epoch: 20 [768/47500]	Loss: 0.2248	LR: 0.000800
Training Epoch: 20 [1024/47500]	Loss: 0.2477	LR: 0.000800
Training Epoch: 20 [1280/47500]	Loss: 0.2371	LR: 0.000800
Training Epoch: 20 [1536/47500]	Loss: 0.2471	LR: 0.000800
Training Epoch: 20 [1792/47500]	Loss: 0.2418	LR: 0.000800
Training Epoch: 20 [2048/47500]	Loss: 0.2329	LR: 0.000800
Training Epoch: 20 [2304/47500]	Loss: 0.2902	LR: 0.000800
Training Epoch: 20 [2560/47500]	Loss: 0.3205	LR: 0.000800
Training Epoch: 20 [2816/47500]	Loss: 0.3303	LR: 0.000800
Training Epoch: 20 [3072/47500]	Loss: 0.2807	LR: 0.000800
Training Epoch: 20 [3328/47500]	Loss: 0.2379	LR: 0.000800
Training Epoch: 20 [3584/47500]	Loss: 0.2535	LR: 0.000800
Training Epoch: 20 [3840/47500]	Loss: 0.2710	LR: 0.000800
Training Epoch: 20 [4096/47500]	Loss: 0.2832	LR: 0.000800
Training Epoch: 20 [4352/47500]	Loss: 0.1889	LR: 0.000800
Training Epoch: 20 [4608/47500]	Loss: 0.2503	LR: 0.000800
Training Epoch: 20 [4864/47500]	Loss: 0.2376	LR: 0.000800
Training Epoch: 20 [5120/47500]	Loss: 0.2348	LR: 0.000800
Training Epoch: 20 [5376/47500]	Loss: 0.2129	LR: 0.000800
Training Epoch: 20 [5632/47500]	Loss: 0.2769	LR: 0.000800
Training Epoch: 20 [5888/47500]	Loss: 0.2859	LR: 0.000800
Training Epoch: 20 [6144/47500]	Loss: 0.2906	LR: 0.000800
Training Epoch: 20 [6400/47500]	Loss: 0.3117	LR: 0.000800
Training Epoch: 20 [6656/47500]	Loss: 0.2864	LR: 0.000800
Training Epoch: 20 [6912/47500]	Loss: 0.3222	LR: 0.000800
Training Epoch: 20 [7168/47500]	Loss: 0.3220	LR: 0.000800
Training Epoch: 20 [7424/47500]	Loss: 0.2758	LR: 0.000800
Training Epoch: 20 [7680/47500]	Loss: 0.2690	LR: 0.000800
Training Epoch: 20 [7936/47500]	Loss: 0.1994	LR: 0.000800
Training Epoch: 20 [8192/47500]	Loss: 0.2001	LR: 0.000800
Training Epoch: 20 [8448/47500]	Loss: 0.2689	LR: 0.000800
Training Epoch: 20 [8704/47500]	Loss: 0.2190	LR: 0.000800
Training Epoch: 20 [8960/47500]	Loss: 0.2347	LR: 0.000800
Training Epoch: 20 [9216/47500]	Loss: 0.3261	LR: 0.000800
Training Epoch: 20 [9472/47500]	Loss: 0.1988	LR: 0.000800
Training Epoch: 20 [9728/47500]	Loss: 0.2344	LR: 0.000800
Training Epoch: 20 [9984/47500]	Loss: 0.1473	LR: 0.000800
Training Epoch: 20 [10240/47500]	Loss: 0.2348	LR: 0.000800
Training Epoch: 20 [10496/47500]	Loss: 0.2806	LR: 0.000800
Training Epoch: 20 [10752/47500]	Loss: 0.2970	LR: 0.000800
Training Epoch: 20 [11008/47500]	Loss: 0.2514	LR: 0.000800
Training Epoch: 20 [11264/47500]	Loss: 0.2919	LR: 0.000800
Training Epoch: 20 [11520/47500]	Loss: 0.2979	LR: 0.000800
Training Epoch: 20 [11776/47500]	Loss: 0.2482	LR: 0.000800
Training Epoch: 20 [12032/47500]	Loss: 0.3137	LR: 0.000800
Training Epoch: 20 [12288/47500]	Loss: 0.2505	LR: 0.000800
Training Epoch: 20 [12544/47500]	Loss: 0.2520	LR: 0.000800
Training Epoch: 20 [12800/47500]	Loss: 0.1869	LR: 0.000800
Training Epoch: 20 [13056/47500]	Loss: 0.2265	LR: 0.000800
Training Epoch: 20 [13312/47500]	Loss: 0.2783	LR: 0.000800
Training Epoch: 20 [13568/47500]	Loss: 0.2913	LR: 0.000800
Training Epoch: 20 [13824/47500]	Loss: 0.3008	LR: 0.000800
Training Epoch: 20 [14080/47500]	Loss: 0.2640	LR: 0.000800
Training Epoch: 20 [14336/47500]	Loss: 0.3746	LR: 0.000800
Training Epoch: 20 [14592/47500]	Loss: 0.3077	LR: 0.000800
Training Epoch: 20 [14848/47500]	Loss: 0.2311	LR: 0.000800
Training Epoch: 20 [15104/47500]	Loss: 0.2065	LR: 0.000800
Training Epoch: 20 [15360/47500]	Loss: 0.2778	LR: 0.000800
Training Epoch: 20 [15616/47500]	Loss: 0.2400	LR: 0.000800
Training Epoch: 20 [15872/47500]	Loss: 0.2819	LR: 0.000800
Training Epoch: 20 [16128/47500]	Loss: 0.3011	LR: 0.000800
Training Epoch: 20 [16384/47500]	Loss: 0.2502	LR: 0.000800
Training Epoch: 20 [16640/47500]	Loss: 0.2550	LR: 0.000800
Training Epoch: 20 [16896/47500]	Loss: 0.3352	LR: 0.000800
Training Epoch: 20 [17152/47500]	Loss: 0.3793	LR: 0.000800
Training Epoch: 20 [17408/47500]	Loss: 0.3229	LR: 0.000800
Training Epoch: 20 [17664/47500]	Loss: 0.2637	LR: 0.000800
Training Epoch: 20 [17920/47500]	Loss: 0.3220	LR: 0.000800
Training Epoch: 20 [18176/47500]	Loss: 0.1974	LR: 0.000800
Training Epoch: 20 [18432/47500]	Loss: 0.3083	LR: 0.000800
Training Epoch: 20 [18688/47500]	Loss: 0.2512	LR: 0.000800
Training Epoch: 20 [18944/47500]	Loss: 0.3075	LR: 0.000800
Training Epoch: 20 [19200/47500]	Loss: 0.2634	LR: 0.000800
Training Epoch: 20 [19456/47500]	Loss: 0.2554	LR: 0.000800
Training Epoch: 20 [19712/47500]	Loss: 0.2543	LR: 0.000800
Training Epoch: 20 [19968/47500]	Loss: 0.2587	LR: 0.000800
Training Epoch: 20 [20224/47500]	Loss: 0.2277	LR: 0.000800
Training Epoch: 20 [20480/47500]	Loss: 0.3304	LR: 0.000800
Training Epoch: 20 [20736/47500]	Loss: 0.3290	LR: 0.000800
Training Epoch: 20 [20992/47500]	Loss: 0.1908	LR: 0.000800
Training Epoch: 20 [21248/47500]	Loss: 0.2667	LR: 0.000800
Training Epoch: 20 [21504/47500]	Loss: 0.3001	LR: 0.000800
Training Epoch: 20 [21760/47500]	Loss: 0.1662	LR: 0.000800
Training Epoch: 20 [22016/47500]	Loss: 0.2445	LR: 0.000800
Training Epoch: 20 [22272/47500]	Loss: 0.2051	LR: 0.000800
Training Epoch: 20 [22528/47500]	Loss: 0.2466	LR: 0.000800
Training Epoch: 20 [22784/47500]	Loss: 0.2210	LR: 0.000800
Training Epoch: 20 [23040/47500]	Loss: 0.2674	LR: 0.000800
Training Epoch: 20 [23296/47500]	Loss: 0.2835	LR: 0.000800
Training Epoch: 20 [23552/47500]	Loss: 0.2505	LR: 0.000800
Training Epoch: 20 [23808/47500]	Loss: 0.2729	LR: 0.000800
Training Epoch: 20 [24064/47500]	Loss: 0.1723	LR: 0.000800
Training Epoch: 20 [24320/47500]	Loss: 0.2827	LR: 0.000800
Training Epoch: 20 [24576/47500]	Loss: 0.2436	LR: 0.000800
Training Epoch: 20 [24832/47500]	Loss: 0.2295	LR: 0.000800
Training Epoch: 20 [25088/47500]	Loss: 0.2680	LR: 0.000800
Training Epoch: 20 [25344/47500]	Loss: 0.2812	LR: 0.000800
Training Epoch: 20 [25600/47500]	Loss: 0.2642	LR: 0.000800
Training Epoch: 20 [25856/47500]	Loss: 0.2388	LR: 0.000800
Training Epoch: 20 [26112/47500]	Loss: 0.2147	LR: 0.000800
Training Epoch: 20 [26368/47500]	Loss: 0.3395	LR: 0.000800
Training Epoch: 20 [26624/47500]	Loss: 0.3009	LR: 0.000800
Training Epoch: 20 [26880/47500]	Loss: 0.3002	LR: 0.000800
Training Epoch: 20 [27136/47500]	Loss: 0.2569	LR: 0.000800
Training Epoch: 20 [27392/47500]	Loss: 0.3077	LR: 0.000800
Training Epoch: 20 [27648/47500]	Loss: 0.2506	LR: 0.000800
Training Epoch: 20 [27904/47500]	Loss: 0.2798	LR: 0.000800
Training Epoch: 20 [28160/47500]	Loss: 0.2319	LR: 0.000800
Training Epoch: 20 [28416/47500]	Loss: 0.2320	LR: 0.000800
Training Epoch: 20 [28672/47500]	Loss: 0.2725	LR: 0.000800
Training Epoch: 20 [28928/47500]	Loss: 0.2320	LR: 0.000800
Training Epoch: 20 [29184/47500]	Loss: 0.2898	LR: 0.000800
Training Epoch: 20 [29440/47500]	Loss: 0.2732	LR: 0.000800
Training Epoch: 20 [29696/47500]	Loss: 0.2759	LR: 0.000800
Training Epoch: 20 [29952/47500]	Loss: 0.2791	LR: 0.000800
Training Epoch: 20 [30208/47500]	Loss: 0.2398	LR: 0.000800
Training Epoch: 20 [30464/47500]	Loss: 0.3281	LR: 0.000800
Training Epoch: 20 [30720/47500]	Loss: 0.3141	LR: 0.000800
Training Epoch: 20 [30976/47500]	Loss: 0.3072	LR: 0.000800
Training Epoch: 20 [31232/47500]	Loss: 0.3758	LR: 0.000800
Training Epoch: 20 [31488/47500]	Loss: 0.3283	LR: 0.000800
Training Epoch: 20 [31744/47500]	Loss: 0.3064	LR: 0.000800
Training Epoch: 20 [32000/47500]	Loss: 0.2953	LR: 0.000800
Training Epoch: 20 [32256/47500]	Loss: 0.2422	LR: 0.000800
Training Epoch: 20 [32512/47500]	Loss: 0.2398	LR: 0.000800
Training Epoch: 20 [32768/47500]	Loss: 0.2735	LR: 0.000800
Training Epoch: 20 [33024/47500]	Loss: 0.2586	LR: 0.000800
Training Epoch: 20 [33280/47500]	Loss: 0.2668	LR: 0.000800
Training Epoch: 20 [33536/47500]	Loss: 0.2525	LR: 0.000800
Training Epoch: 20 [33792/47500]	Loss: 0.2812	LR: 0.000800
Training Epoch: 20 [34048/47500]	Loss: 0.2504	LR: 0.000800
Training Epoch: 20 [34304/47500]	Loss: 0.2624	LR: 0.000800
Training Epoch: 20 [34560/47500]	Loss: 0.2722	LR: 0.000800
Training Epoch: 20 [34816/47500]	Loss: 0.2576	LR: 0.000800
Training Epoch: 20 [35072/47500]	Loss: 0.2816	LR: 0.000800
Training Epoch: 20 [35328/47500]	Loss: 0.2846	LR: 0.000800
Training Epoch: 20 [35584/47500]	Loss: 0.2666	LR: 0.000800
Training Epoch: 20 [35840/47500]	Loss: 0.3210	LR: 0.000800
Training Epoch: 20 [36096/47500]	Loss: 0.2491	LR: 0.000800
Training Epoch: 20 [36352/47500]	Loss: 0.3019	LR: 0.000800
Training Epoch: 20 [36608/47500]	Loss: 0.2873	LR: 0.000800
Training Epoch: 20 [36864/47500]	Loss: 0.2084	LR: 0.000800
Training Epoch: 20 [37120/47500]	Loss: 0.3174	LR: 0.000800
Training Epoch: 20 [37376/47500]	Loss: 0.2198	LR: 0.000800
Training Epoch: 20 [37632/47500]	Loss: 0.2632	LR: 0.000800
Training Epoch: 20 [37888/47500]	Loss: 0.2155	LR: 0.000800
Training Epoch: 20 [38144/47500]	Loss: 0.2687	LR: 0.000800
Training Epoch: 20 [38400/47500]	Loss: 0.2422	LR: 0.000800
Training Epoch: 20 [38656/47500]	Loss: 0.2468	LR: 0.000800
Training Epoch: 20 [38912/47500]	Loss: 0.2298	LR: 0.000800
Training Epoch: 20 [39168/47500]	Loss: 0.2610	LR: 0.000800
Training Epoch: 20 [39424/47500]	Loss: 0.2940	LR: 0.000800
Training Epoch: 20 [39680/47500]	Loss: 0.2579	LR: 0.000800
Training Epoch: 20 [39936/47500]	Loss: 0.2431	LR: 0.000800
Training Epoch: 20 [40192/47500]	Loss: 0.2452	LR: 0.000800
Training Epoch: 20 [40448/47500]	Loss: 0.2641	LR: 0.000800
Training Epoch: 20 [40704/47500]	Loss: 0.2978	LR: 0.000800
Training Epoch: 20 [40960/47500]	Loss: 0.2856	LR: 0.000800
Training Epoch: 20 [41216/47500]	Loss: 0.2589	LR: 0.000800
Training Epoch: 20 [41472/47500]	Loss: 0.3116	LR: 0.000800
Training Epoch: 20 [41728/47500]	Loss: 0.3152	LR: 0.000800
Training Epoch: 20 [41984/47500]	Loss: 0.3062	LR: 0.000800
Training Epoch: 20 [42240/47500]	Loss: 0.2135	LR: 0.000800
Training Epoch: 20 [42496/47500]	Loss: 0.2217	LR: 0.000800
Training Epoch: 20 [42752/47500]	Loss: 0.3063	LR: 0.000800
Training Epoch: 20 [43008/47500]	Loss: 0.2337	LR: 0.000800
Training Epoch: 20 [43264/47500]	Loss: 0.2388	LR: 0.000800
Training Epoch: 20 [43520/47500]	Loss: 0.2852	LR: 0.000800
Training Epoch: 20 [43776/47500]	Loss: 0.2938	LR: 0.000800
Training Epoch: 20 [44032/47500]	Loss: 0.2846	LR: 0.000800
Training Epoch: 20 [44288/47500]	Loss: 0.2284	LR: 0.000800
Training Epoch: 20 [44544/47500]	Loss: 0.2340	LR: 0.000800
Training Epoch: 20 [44800/47500]	Loss: 0.3086	LR: 0.000800
Training Epoch: 20 [45056/47500]	Loss: 0.2585	LR: 0.000800
Training Epoch: 20 [45312/47500]	Loss: 0.1671	LR: 0.000800
Training Epoch: 20 [45568/47500]	Loss: 0.2332	LR: 0.000800
Training Epoch: 20 [45824/47500]	Loss: 0.2020	LR: 0.000800
Training Epoch: 20 [46080/47500]	Loss: 0.3101	LR: 0.000800
Training Epoch: 20 [46336/47500]	Loss: 0.1914	LR: 0.000800
Training Epoch: 20 [46592/47500]	Loss: 0.2736	LR: 0.000800
Training Epoch: 20 [46848/47500]	Loss: 0.2446	LR: 0.000800
Training Epoch: 20 [47104/47500]	Loss: 0.2292	LR: 0.000800
Training Epoch: 20 [47360/47500]	Loss: 0.2902	LR: 0.000800
Training Epoch: 20 [47500/47500]	Loss: 0.2032	LR: 0.000800
Epoch 20 - Average Train Loss: 0.2647, Train Accuracy: 0.9085
Epoch 20 training time consumed: 28.89s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0013, Accuracy: 0.8920, Time consumed:0.92s
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: 89.306640625
Retain Accuracy: 91.02486419677734
Zero-Retain Forget (ZRF): 0.8255491256713867
Membership Inference Attack (MIA): 0.624
Forget vs Retain Membership Inference Attack (MIA): 0.509
Forget vs Test Membership Inference Attack (MIA): 0.539
Test vs Retain Membership Inference Attack (MIA): 0.5095
Train vs Test Membership Inference Attack (MIA): 0.5185
Forget Set Accuracy (Df): 87.46173095703125
Method Execution Time: 1557.65 seconds
