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

Updated class distribution:
Retain set:
  Class 0: 4750
  Class 1: 4750
  Class 2: 4750
  Class 3: 4750
  Class 4: 4750
  Class 5: 4750
  Class 6: 4750
  Class 7: 4750
  Class 8: 4750
  Class 9: 4750
Forget set:
  Class 0: 250
  Class 1: 250
  Class 2: 250
  Class 3: 250
  Class 4: 250
  Class 5: 250
  Class 6: 250
  Class 7: 250
  Class 8: 250
  Class 9: 250
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/47500]	Loss: 2.3690	LR: 0.000000
Training Epoch: 1 [512/47500]	Loss: 2.3670	LR: 0.000538
Training Epoch: 1 [768/47500]	Loss: 2.3330	LR: 0.001075
Training Epoch: 1 [1024/47500]	Loss: 2.3452	LR: 0.001613
Training Epoch: 1 [1280/47500]	Loss: 2.2713	LR: 0.002151
Training Epoch: 1 [1536/47500]	Loss: 2.2865	LR: 0.002688
Training Epoch: 1 [1792/47500]	Loss: 2.2310	LR: 0.003226
Training Epoch: 1 [2048/47500]	Loss: 2.2030	LR: 0.003763
Training Epoch: 1 [2304/47500]	Loss: 2.2232	LR: 0.004301
Training Epoch: 1 [2560/47500]	Loss: 2.2240	LR: 0.004839
Training Epoch: 1 [2816/47500]	Loss: 2.1861	LR: 0.005376
Training Epoch: 1 [3072/47500]	Loss: 2.1575	LR: 0.005914
Training Epoch: 1 [3328/47500]	Loss: 2.0679	LR: 0.006452
Training Epoch: 1 [3584/47500]	Loss: 2.1099	LR: 0.006989
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Training Epoch: 1 [9472/47500]	Loss: 1.7023	LR: 0.019355
Training Epoch: 1 [9728/47500]	Loss: 1.8492	LR: 0.019892
Training Epoch: 1 [9984/47500]	Loss: 1.7704	LR: 0.020430
Training Epoch: 1 [10240/47500]	Loss: 1.7964	LR: 0.020968
Training Epoch: 1 [10496/47500]	Loss: 1.7190	LR: 0.021505
Training Epoch: 1 [10752/47500]	Loss: 1.8232	LR: 0.022043
Training Epoch: 1 [11008/47500]	Loss: 1.7294	LR: 0.022581
Training Epoch: 1 [11264/47500]	Loss: 1.7842	LR: 0.023118
Training Epoch: 1 [11520/47500]	Loss: 1.8002	LR: 0.023656
Training Epoch: 1 [11776/47500]	Loss: 1.7365	LR: 0.024194
Training Epoch: 1 [12032/47500]	Loss: 1.6890	LR: 0.024731
Training Epoch: 1 [12288/47500]	Loss: 1.8198	LR: 0.025269
Training Epoch: 1 [12544/47500]	Loss: 1.7414	LR: 0.025806
Training Epoch: 1 [12800/47500]	Loss: 1.6706	LR: 0.026344
Training Epoch: 1 [13056/47500]	Loss: 1.9100	LR: 0.026882
Training Epoch: 1 [13312/47500]	Loss: 1.7277	LR: 0.027419
Training Epoch: 1 [13568/47500]	Loss: 1.9149	LR: 0.027957
Training Epoch: 1 [13824/47500]	Loss: 1.8331	LR: 0.028495
Training Epoch: 1 [14080/47500]	Loss: 1.6989	LR: 0.029032
Training Epoch: 1 [14336/47500]	Loss: 1.7044	LR: 0.029570
Training Epoch: 1 [14592/47500]	Loss: 1.7568	LR: 0.030108
Training Epoch: 1 [14848/47500]	Loss: 1.8275	LR: 0.030645
Training Epoch: 1 [15104/47500]	Loss: 1.7668	LR: 0.031183
Training Epoch: 1 [15360/47500]	Loss: 1.7673	LR: 0.031720
Training Epoch: 1 [15616/47500]	Loss: 1.7180	LR: 0.032258
Training Epoch: 1 [15872/47500]	Loss: 1.5897	LR: 0.032796
Training Epoch: 1 [16128/47500]	Loss: 1.8655	LR: 0.033333
Training Epoch: 1 [16384/47500]	Loss: 1.5826	LR: 0.033871
Training Epoch: 1 [16640/47500]	Loss: 1.6703	LR: 0.034409
Training Epoch: 1 [16896/47500]	Loss: 1.7694	LR: 0.034946
Training Epoch: 1 [17152/47500]	Loss: 1.7567	LR: 0.035484
Training Epoch: 1 [17408/47500]	Loss: 1.7670	LR: 0.036022
Training Epoch: 1 [17664/47500]	Loss: 1.7380	LR: 0.036559
Training Epoch: 1 [17920/47500]	Loss: 1.7242	LR: 0.037097
Training Epoch: 1 [18176/47500]	Loss: 1.7255	LR: 0.037634
Training Epoch: 1 [18432/47500]	Loss: 1.5046	LR: 0.038172
Training Epoch: 1 [18688/47500]	Loss: 1.6068	LR: 0.038710
Training Epoch: 1 [18944/47500]	Loss: 1.8180	LR: 0.039247
Training Epoch: 1 [19200/47500]	Loss: 1.6710	LR: 0.039785
Training Epoch: 1 [19456/47500]	Loss: 1.8581	LR: 0.040323
Training Epoch: 1 [19712/47500]	Loss: 1.7077	LR: 0.040860
Training Epoch: 1 [19968/47500]	Loss: 1.7723	LR: 0.041398
Training Epoch: 1 [20224/47500]	Loss: 1.6949	LR: 0.041935
Training Epoch: 1 [20480/47500]	Loss: 1.7891	LR: 0.042473
Training Epoch: 1 [20736/47500]	Loss: 1.7409	LR: 0.043011
Training Epoch: 1 [20992/47500]	Loss: 1.8264	LR: 0.043548
Training Epoch: 1 [21248/47500]	Loss: 1.6919	LR: 0.044086
Training Epoch: 1 [21504/47500]	Loss: 1.7741	LR: 0.044624
Training Epoch: 1 [21760/47500]	Loss: 1.6668	LR: 0.045161
Training Epoch: 1 [22016/47500]	Loss: 1.6537	LR: 0.045699
Training Epoch: 1 [22272/47500]	Loss: 1.8020	LR: 0.046237
Training Epoch: 1 [22528/47500]	Loss: 1.6223	LR: 0.046774
Training Epoch: 1 [22784/47500]	Loss: 1.5740	LR: 0.047312
Training Epoch: 1 [23040/47500]	Loss: 1.7156	LR: 0.047849
Training Epoch: 1 [23296/47500]	Loss: 1.6473	LR: 0.048387
Training Epoch: 1 [23552/47500]	Loss: 1.7319	LR: 0.048925
Training Epoch: 1 [23808/47500]	Loss: 1.8005	LR: 0.049462
Training Epoch: 1 [24064/47500]	Loss: 1.4976	LR: 0.050000
Training Epoch: 1 [24320/47500]	Loss: 1.8854	LR: 0.050538
Training Epoch: 1 [24576/47500]	Loss: 1.5771	LR: 0.051075
Training Epoch: 1 [24832/47500]	Loss: 1.6672	LR: 0.051613
Training Epoch: 1 [25088/47500]	Loss: 1.7437	LR: 0.052151
Training Epoch: 1 [25344/47500]	Loss: 1.5663	LR: 0.052688
Training Epoch: 1 [25600/47500]	Loss: 1.6086	LR: 0.053226
Training Epoch: 1 [25856/47500]	Loss: 1.6566	LR: 0.053763
Training Epoch: 1 [26112/47500]	Loss: 1.5054	LR: 0.054301
Training Epoch: 1 [26368/47500]	Loss: 1.6400	LR: 0.054839
Training Epoch: 1 [26624/47500]	Loss: 1.7181	LR: 0.055376
Training Epoch: 1 [26880/47500]	Loss: 1.7536	LR: 0.055914
Training Epoch: 1 [27136/47500]	Loss: 1.6450	LR: 0.056452
Training Epoch: 1 [27392/47500]	Loss: 1.6899	LR: 0.056989
Training Epoch: 1 [27648/47500]	Loss: 1.7894	LR: 0.057527
Training Epoch: 1 [27904/47500]	Loss: 1.6814	LR: 0.058065
Training Epoch: 1 [28160/47500]	Loss: 1.7481	LR: 0.058602
Training Epoch: 1 [28416/47500]	Loss: 1.7209	LR: 0.059140
Training Epoch: 1 [28672/47500]	Loss: 1.6482	LR: 0.059677
Training Epoch: 1 [28928/47500]	Loss: 1.6317	LR: 0.060215
Training Epoch: 1 [29184/47500]	Loss: 1.7105	LR: 0.060753
Training Epoch: 1 [29440/47500]	Loss: 1.6481	LR: 0.061290
Training Epoch: 1 [29696/47500]	Loss: 1.6577	LR: 0.061828
Training Epoch: 1 [29952/47500]	Loss: 1.7372	LR: 0.062366
Training Epoch: 1 [30208/47500]	Loss: 1.6708	LR: 0.062903
Training Epoch: 1 [30464/47500]	Loss: 1.6515	LR: 0.063441
Training Epoch: 1 [30720/47500]	Loss: 1.6048	LR: 0.063978
Training Epoch: 1 [30976/47500]	Loss: 1.4501	LR: 0.064516
Training Epoch: 1 [31232/47500]	Loss: 1.4180	LR: 0.065054
Training Epoch: 1 [31488/47500]	Loss: 1.6292	LR: 0.065591
Training Epoch: 1 [31744/47500]	Loss: 1.5418	LR: 0.066129
Training Epoch: 1 [32000/47500]	Loss: 1.4882	LR: 0.066667
Training Epoch: 1 [32256/47500]	Loss: 1.6887	LR: 0.067204
Training Epoch: 1 [32512/47500]	Loss: 1.5872	LR: 0.067742
Training Epoch: 1 [32768/47500]	Loss: 1.6040	LR: 0.068280
Training Epoch: 1 [33024/47500]	Loss: 1.6798	LR: 0.068817
Training Epoch: 1 [33280/47500]	Loss: 1.6028	LR: 0.069355
Training Epoch: 1 [33536/47500]	Loss: 1.5211	LR: 0.069892
Training Epoch: 1 [33792/47500]	Loss: 1.5137	LR: 0.070430
Training Epoch: 1 [34048/47500]	Loss: 1.6148	LR: 0.070968
Training Epoch: 1 [34304/47500]	Loss: 1.3685	LR: 0.071505
Training Epoch: 1 [34560/47500]	Loss: 1.5421	LR: 0.072043
Training Epoch: 1 [34816/47500]	Loss: 1.6015	LR: 0.072581
Training Epoch: 1 [35072/47500]	Loss: 1.5238	LR: 0.073118
Training Epoch: 1 [35328/47500]	Loss: 1.5534	LR: 0.073656
Training Epoch: 1 [35584/47500]	Loss: 1.4340	LR: 0.074194
Training Epoch: 1 [35840/47500]	Loss: 1.5244	LR: 0.074731
Training Epoch: 1 [36096/47500]	Loss: 1.3526	LR: 0.075269
Training Epoch: 1 [36352/47500]	Loss: 1.5337	LR: 0.075806
Training Epoch: 1 [36608/47500]	Loss: 1.4344	LR: 0.076344
Training Epoch: 1 [36864/47500]	Loss: 1.4066	LR: 0.076882
Training Epoch: 1 [37120/47500]	Loss: 1.4215	LR: 0.077419
Training Epoch: 1 [37376/47500]	Loss: 1.5514	LR: 0.077957
Training Epoch: 1 [37632/47500]	Loss: 1.4171	LR: 0.078495
Training Epoch: 1 [37888/47500]	Loss: 1.4764	LR: 0.079032
Training Epoch: 1 [38144/47500]	Loss: 1.5016	LR: 0.079570
Training Epoch: 1 [38400/47500]	Loss: 1.6186	LR: 0.080108
Training Epoch: 1 [38656/47500]	Loss: 1.5088	LR: 0.080645
Training Epoch: 1 [38912/47500]	Loss: 1.4057	LR: 0.081183
Training Epoch: 1 [39168/47500]	Loss: 1.3339	LR: 0.081720
Training Epoch: 1 [39424/47500]	Loss: 1.5572	LR: 0.082258
Training Epoch: 1 [39680/47500]	Loss: 1.4262	LR: 0.082796
Training Epoch: 1 [39936/47500]	Loss: 1.3795	LR: 0.083333
Training Epoch: 1 [40192/47500]	Loss: 1.5117	LR: 0.083871
Training Epoch: 1 [40448/47500]	Loss: 1.3815	LR: 0.084409
Training Epoch: 1 [40704/47500]	Loss: 1.4980	LR: 0.084946
Training Epoch: 1 [40960/47500]	Loss: 1.4137	LR: 0.085484
Training Epoch: 1 [41216/47500]	Loss: 1.3348	LR: 0.086022
Training Epoch: 1 [41472/47500]	Loss: 1.5265	LR: 0.086559
Training Epoch: 1 [41728/47500]	Loss: 1.3762	LR: 0.087097
Training Epoch: 1 [41984/47500]	Loss: 1.4896	LR: 0.087634
Training Epoch: 1 [42240/47500]	Loss: 1.5678	LR: 0.088172
Training Epoch: 1 [42496/47500]	Loss: 1.3417	LR: 0.088710
Training Epoch: 1 [42752/47500]	Loss: 1.3785	LR: 0.089247
Training Epoch: 1 [43008/47500]	Loss: 1.3117	LR: 0.089785
Training Epoch: 1 [43264/47500]	Loss: 1.5320	LR: 0.090323
Training Epoch: 1 [43520/47500]	Loss: 1.6332	LR: 0.090860
Training Epoch: 1 [43776/47500]	Loss: 1.5373	LR: 0.091398
Training Epoch: 1 [44032/47500]	Loss: 1.3882	LR: 0.091935
Training Epoch: 1 [44288/47500]	Loss: 1.5458	LR: 0.092473
Training Epoch: 1 [44544/47500]	Loss: 1.4872	LR: 0.093011
Training Epoch: 1 [44800/47500]	Loss: 1.4640	LR: 0.093548
Training Epoch: 1 [45056/47500]	Loss: 1.4547	LR: 0.094086
Training Epoch: 1 [45312/47500]	Loss: 1.5377	LR: 0.094624
Training Epoch: 1 [45568/47500]	Loss: 1.6157	LR: 0.095161
Training Epoch: 1 [45824/47500]	Loss: 1.2959	LR: 0.095699
Training Epoch: 1 [46080/47500]	Loss: 1.5477	LR: 0.096237
Training Epoch: 1 [46336/47500]	Loss: 1.5547	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 1.4329	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 1.4414	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 1.7219	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 1.5408	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 1.4596	LR: 0.099462
Epoch 1 - Average Train Loss: 1.6998, Train Accuracy: 0.3807
Epoch 1 training time consumed: 29.66s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0070, Accuracy: 0.4345, Time consumed:1.05s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_14h_29m_00s/ResNet18-Cifar10-seed6-ret50-1-best.pth
Training Epoch: 2 [256/47500]	Loss: 1.4584	LR: 0.100000
Training Epoch: 2 [512/47500]	Loss: 1.4152	LR: 0.100000
Training Epoch: 2 [768/47500]	Loss: 1.4292	LR: 0.100000
Training Epoch: 2 [1024/47500]	Loss: 1.5457	LR: 0.100000
Training Epoch: 2 [1280/47500]	Loss: 1.2630	LR: 0.100000
Training Epoch: 2 [1536/47500]	Loss: 1.5273	LR: 0.100000
Training Epoch: 2 [1792/47500]	Loss: 1.4475	LR: 0.100000
Training Epoch: 2 [2048/47500]	Loss: 1.3845	LR: 0.100000
Training Epoch: 2 [2304/47500]	Loss: 1.4229	LR: 0.100000
Training Epoch: 2 [2560/47500]	Loss: 1.3923	LR: 0.100000
Training Epoch: 2 [2816/47500]	Loss: 1.4811	LR: 0.100000
Training Epoch: 2 [3072/47500]	Loss: 1.4857	LR: 0.100000
Training Epoch: 2 [3328/47500]	Loss: 1.3834	LR: 0.100000
Training Epoch: 2 [3584/47500]	Loss: 1.4478	LR: 0.100000
Training Epoch: 2 [3840/47500]	Loss: 1.2532	LR: 0.100000
Training Epoch: 2 [4096/47500]	Loss: 1.3338	LR: 0.100000
Training Epoch: 2 [4352/47500]	Loss: 1.5334	LR: 0.100000
Training Epoch: 2 [4608/47500]	Loss: 1.3642	LR: 0.100000
Training Epoch: 2 [4864/47500]	Loss: 1.3520	LR: 0.100000
Training Epoch: 2 [5120/47500]	Loss: 1.4821	LR: 0.100000
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Training Epoch: 2 [5632/47500]	Loss: 1.3404	LR: 0.100000
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Training Epoch: 2 [6400/47500]	Loss: 1.2626	LR: 0.100000
Training Epoch: 2 [6656/47500]	Loss: 1.3832	LR: 0.100000
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Training Epoch: 2 [8448/47500]	Loss: 1.3726	LR: 0.100000
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Training Epoch: 2 [11776/47500]	Loss: 1.2145	LR: 0.100000
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Training Epoch: 2 [19200/47500]	Loss: 1.3104	LR: 0.100000
Training Epoch: 2 [19456/47500]	Loss: 1.3084	LR: 0.100000
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Training Epoch: 2 [20224/47500]	Loss: 1.3318	LR: 0.100000
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Training Epoch: 2 [21504/47500]	Loss: 1.1974	LR: 0.100000
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Training Epoch: 2 [22016/47500]	Loss: 1.1417	LR: 0.100000
Training Epoch: 2 [22272/47500]	Loss: 1.2640	LR: 0.100000
Training Epoch: 2 [22528/47500]	Loss: 1.2369	LR: 0.100000
Training Epoch: 2 [22784/47500]	Loss: 1.1203	LR: 0.100000
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Training Epoch: 2 [47360/47500]	Loss: 1.0878	LR: 0.100000
Training Epoch: 2 [47500/47500]	Loss: 1.0692	LR: 0.100000
Epoch 2 - Average Train Loss: 1.2037, Train Accuracy: 0.5662
Epoch 2 training time consumed: 28.67s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0046, Accuracy: 0.6034, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_14h_29m_00s/ResNet18-Cifar10-seed6-ret50-2-best.pth
Training Epoch: 3 [256/47500]	Loss: 1.0361	LR: 0.100000
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Training Epoch: 3 [47500/47500]	Loss: 0.9465	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9426, Train Accuracy: 0.6662
Epoch 3 training time consumed: 29.02s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0036, Accuracy: 0.6928, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_14h_29m_00s/ResNet18-Cifar10-seed6-ret50-3-best.pth
Training Epoch: 4 [256/47500]	Loss: 0.8190	LR: 0.100000
Training Epoch: 4 [512/47500]	Loss: 0.7980	LR: 0.100000
Training Epoch: 4 [768/47500]	Loss: 0.8528	LR: 0.100000
Training Epoch: 4 [1024/47500]	Loss: 0.8416	LR: 0.100000
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Training Epoch: 4 [47500/47500]	Loss: 0.9896	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8072, Train Accuracy: 0.7150
Epoch 4 training time consumed: 29.57s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0033, Accuracy: 0.7270, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_14h_29m_00s/ResNet18-Cifar10-seed6-ret50-4-best.pth
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Epoch 5 - Average Train Loss: 0.7040, Train Accuracy: 0.7536
Epoch 5 training time consumed: 29.27s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0026, Accuracy: 0.7773, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_14h_29m_00s/ResNet18-Cifar10-seed6-ret50-5-best.pth
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Training Epoch: 6 [47500/47500]	Loss: 0.5935	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6488, Train Accuracy: 0.7737
Epoch 6 training time consumed: 28.96s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0029, Accuracy: 0.7597, Time consumed:0.95s
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Training Epoch: 7 [10496/47500]	Loss: 0.5629	LR: 0.100000
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Training Epoch: 7 [11008/47500]	Loss: 0.5281	LR: 0.100000
Training Epoch: 7 [11264/47500]	Loss: 0.5814	LR: 0.100000
Training Epoch: 7 [11520/47500]	Loss: 0.5453	LR: 0.100000
Training Epoch: 7 [11776/47500]	Loss: 0.6815	LR: 0.100000
Training Epoch: 7 [12032/47500]	Loss: 0.5501	LR: 0.100000
Training Epoch: 7 [12288/47500]	Loss: 0.5270	LR: 0.100000
Training Epoch: 7 [12544/47500]	Loss: 0.6338	LR: 0.100000
Training Epoch: 7 [12800/47500]	Loss: 0.6807	LR: 0.100000
Training Epoch: 7 [13056/47500]	Loss: 0.5037	LR: 0.100000
Training Epoch: 7 [13312/47500]	Loss: 0.6459	LR: 0.100000
Training Epoch: 7 [13568/47500]	Loss: 0.5527	LR: 0.100000
Training Epoch: 7 [13824/47500]	Loss: 0.5360	LR: 0.100000
Training Epoch: 7 [14080/47500]	Loss: 0.6732	LR: 0.100000
Training Epoch: 7 [14336/47500]	Loss: 0.6133	LR: 0.100000
Training Epoch: 7 [14592/47500]	Loss: 0.6261	LR: 0.100000
Training Epoch: 7 [14848/47500]	Loss: 0.5994	LR: 0.100000
Training Epoch: 7 [15104/47500]	Loss: 0.7128	LR: 0.100000
Training Epoch: 7 [15360/47500]	Loss: 0.5410	LR: 0.100000
Training Epoch: 7 [15616/47500]	Loss: 0.5925	LR: 0.100000
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Training Epoch: 7 [16128/47500]	Loss: 0.5451	LR: 0.100000
Training Epoch: 7 [16384/47500]	Loss: 0.6116	LR: 0.100000
Training Epoch: 7 [16640/47500]	Loss: 0.5947	LR: 0.100000
Training Epoch: 7 [16896/47500]	Loss: 0.7469	LR: 0.100000
Training Epoch: 7 [17152/47500]	Loss: 0.6174	LR: 0.100000
Training Epoch: 7 [17408/47500]	Loss: 0.6016	LR: 0.100000
Training Epoch: 7 [17664/47500]	Loss: 0.6075	LR: 0.100000
Training Epoch: 7 [17920/47500]	Loss: 0.5241	LR: 0.100000
Training Epoch: 7 [18176/47500]	Loss: 0.5921	LR: 0.100000
Training Epoch: 7 [18432/47500]	Loss: 0.6698	LR: 0.100000
Training Epoch: 7 [18688/47500]	Loss: 0.5136	LR: 0.100000
Training Epoch: 7 [18944/47500]	Loss: 0.5490	LR: 0.100000
Training Epoch: 7 [19200/47500]	Loss: 0.5888	LR: 0.100000
Training Epoch: 7 [19456/47500]	Loss: 0.6244	LR: 0.100000
Training Epoch: 7 [19712/47500]	Loss: 0.5878	LR: 0.100000
Training Epoch: 7 [19968/47500]	Loss: 0.6793	LR: 0.100000
Training Epoch: 7 [20224/47500]	Loss: 0.7072	LR: 0.100000
Training Epoch: 7 [20480/47500]	Loss: 0.7282	LR: 0.100000
Training Epoch: 7 [20736/47500]	Loss: 0.6044	LR: 0.100000
Training Epoch: 7 [20992/47500]	Loss: 0.5676	LR: 0.100000
Training Epoch: 7 [21248/47500]	Loss: 0.5904	LR: 0.100000
Training Epoch: 7 [21504/47500]	Loss: 0.5022	LR: 0.100000
Training Epoch: 7 [21760/47500]	Loss: 0.6475	LR: 0.100000
Training Epoch: 7 [22016/47500]	Loss: 0.5840	LR: 0.100000
Training Epoch: 7 [22272/47500]	Loss: 0.6685	LR: 0.100000
Training Epoch: 7 [22528/47500]	Loss: 0.6601	LR: 0.100000
Training Epoch: 7 [22784/47500]	Loss: 0.6300	LR: 0.100000
Training Epoch: 7 [23040/47500]	Loss: 0.5326	LR: 0.100000
Training Epoch: 7 [23296/47500]	Loss: 0.4865	LR: 0.100000
Training Epoch: 7 [23552/47500]	Loss: 0.5580	LR: 0.100000
Training Epoch: 7 [23808/47500]	Loss: 0.6254	LR: 0.100000
Training Epoch: 7 [24064/47500]	Loss: 0.6549	LR: 0.100000
Training Epoch: 7 [24320/47500]	Loss: 0.6512	LR: 0.100000
Training Epoch: 7 [24576/47500]	Loss: 0.5910	LR: 0.100000
Training Epoch: 7 [24832/47500]	Loss: 0.5145	LR: 0.100000
Training Epoch: 7 [25088/47500]	Loss: 0.5491	LR: 0.100000
Training Epoch: 7 [25344/47500]	Loss: 0.5382	LR: 0.100000
Training Epoch: 7 [25600/47500]	Loss: 0.6046	LR: 0.100000
Training Epoch: 7 [25856/47500]	Loss: 0.5272	LR: 0.100000
Training Epoch: 7 [26112/47500]	Loss: 0.5199	LR: 0.100000
Training Epoch: 7 [26368/47500]	Loss: 0.5964	LR: 0.100000
Training Epoch: 7 [26624/47500]	Loss: 0.5916	LR: 0.100000
Training Epoch: 7 [26880/47500]	Loss: 0.5575	LR: 0.100000
Training Epoch: 7 [27136/47500]	Loss: 0.6599	LR: 0.100000
Training Epoch: 7 [27392/47500]	Loss: 0.5290	LR: 0.100000
Training Epoch: 7 [27648/47500]	Loss: 0.5065	LR: 0.100000
Training Epoch: 7 [27904/47500]	Loss: 0.6053	LR: 0.100000
Training Epoch: 7 [28160/47500]	Loss: 0.5523	LR: 0.100000
Training Epoch: 7 [28416/47500]	Loss: 0.6168	LR: 0.100000
Training Epoch: 7 [28672/47500]	Loss: 0.6396	LR: 0.100000
Training Epoch: 7 [28928/47500]	Loss: 0.6389	LR: 0.100000
Training Epoch: 7 [29184/47500]	Loss: 0.6813	LR: 0.100000
Training Epoch: 7 [29440/47500]	Loss: 0.4938	LR: 0.100000
Training Epoch: 7 [29696/47500]	Loss: 0.4934	LR: 0.100000
Training Epoch: 7 [29952/47500]	Loss: 0.6365	LR: 0.100000
Training Epoch: 7 [30208/47500]	Loss: 0.5896	LR: 0.100000
Training Epoch: 7 [30464/47500]	Loss: 0.6638	LR: 0.100000
Training Epoch: 7 [30720/47500]	Loss: 0.6815	LR: 0.100000
Training Epoch: 7 [30976/47500]	Loss: 0.5815	LR: 0.100000
Training Epoch: 7 [31232/47500]	Loss: 0.5019	LR: 0.100000
Training Epoch: 7 [31488/47500]	Loss: 0.5573	LR: 0.100000
Training Epoch: 7 [31744/47500]	Loss: 0.6153	LR: 0.100000
Training Epoch: 7 [32000/47500]	Loss: 0.5092	LR: 0.100000
Training Epoch: 7 [32256/47500]	Loss: 0.5841	LR: 0.100000
Training Epoch: 7 [32512/47500]	Loss: 0.6306	LR: 0.100000
Training Epoch: 7 [32768/47500]	Loss: 0.6027	LR: 0.100000
Training Epoch: 7 [33024/47500]	Loss: 0.6290	LR: 0.100000
Training Epoch: 7 [33280/47500]	Loss: 0.6681	LR: 0.100000
Training Epoch: 7 [33536/47500]	Loss: 0.6809	LR: 0.100000
Training Epoch: 7 [33792/47500]	Loss: 0.5587	LR: 0.100000
Training Epoch: 7 [34048/47500]	Loss: 0.6080	LR: 0.100000
Training Epoch: 7 [34304/47500]	Loss: 0.5960	LR: 0.100000
Training Epoch: 7 [34560/47500]	Loss: 0.7231	LR: 0.100000
Training Epoch: 7 [34816/47500]	Loss: 0.6443	LR: 0.100000
Training Epoch: 7 [35072/47500]	Loss: 0.5718	LR: 0.100000
Training Epoch: 7 [35328/47500]	Loss: 0.5716	LR: 0.100000
Training Epoch: 7 [35584/47500]	Loss: 0.5794	LR: 0.100000
Training Epoch: 7 [35840/47500]	Loss: 0.5742	LR: 0.100000
Training Epoch: 7 [36096/47500]	Loss: 0.5237	LR: 0.100000
Training Epoch: 7 [36352/47500]	Loss: 0.6000	LR: 0.100000
Training Epoch: 7 [36608/47500]	Loss: 0.7026	LR: 0.100000
Training Epoch: 7 [36864/47500]	Loss: 0.4871	LR: 0.100000
Training Epoch: 7 [37120/47500]	Loss: 0.5431	LR: 0.100000
Training Epoch: 7 [37376/47500]	Loss: 0.5559	LR: 0.100000
Training Epoch: 7 [37632/47500]	Loss: 0.5748	LR: 0.100000
Training Epoch: 7 [37888/47500]	Loss: 0.5612	LR: 0.100000
Training Epoch: 7 [38144/47500]	Loss: 0.5771	LR: 0.100000
Training Epoch: 7 [38400/47500]	Loss: 0.6135	LR: 0.100000
Training Epoch: 7 [38656/47500]	Loss: 0.4785	LR: 0.100000
Training Epoch: 7 [38912/47500]	Loss: 0.5747	LR: 0.100000
Training Epoch: 7 [39168/47500]	Loss: 0.5456	LR: 0.100000
Training Epoch: 7 [39424/47500]	Loss: 0.6828	LR: 0.100000
Training Epoch: 7 [39680/47500]	Loss: 0.6435	LR: 0.100000
Training Epoch: 7 [39936/47500]	Loss: 0.5870	LR: 0.100000
Training Epoch: 7 [40192/47500]	Loss: 0.4771	LR: 0.100000
Training Epoch: 7 [40448/47500]	Loss: 0.4835	LR: 0.100000
Training Epoch: 7 [40704/47500]	Loss: 0.5622	LR: 0.100000
Training Epoch: 7 [40960/47500]	Loss: 0.6347	LR: 0.100000
Training Epoch: 7 [41216/47500]	Loss: 0.6758	LR: 0.100000
Training Epoch: 7 [41472/47500]	Loss: 0.6475	LR: 0.100000
Training Epoch: 7 [41728/47500]	Loss: 0.5326	LR: 0.100000
Training Epoch: 7 [41984/47500]	Loss: 0.6119	LR: 0.100000
Training Epoch: 7 [42240/47500]	Loss: 0.6673	LR: 0.100000
Training Epoch: 7 [42496/47500]	Loss: 0.5079	LR: 0.100000
Training Epoch: 7 [42752/47500]	Loss: 0.6593	LR: 0.100000
Training Epoch: 7 [43008/47500]	Loss: 0.4881	LR: 0.100000
Training Epoch: 7 [43264/47500]	Loss: 0.5731	LR: 0.100000
Training Epoch: 7 [43520/47500]	Loss: 0.5471	LR: 0.100000
Training Epoch: 7 [43776/47500]	Loss: 0.5890	LR: 0.100000
Training Epoch: 7 [44032/47500]	Loss: 0.5530	LR: 0.100000
Training Epoch: 7 [44288/47500]	Loss: 0.5318	LR: 0.100000
Training Epoch: 7 [44544/47500]	Loss: 0.6833	LR: 0.100000
Training Epoch: 7 [44800/47500]	Loss: 0.5915	LR: 0.100000
Training Epoch: 7 [45056/47500]	Loss: 0.5372	LR: 0.100000
Training Epoch: 7 [45312/47500]	Loss: 0.6812	LR: 0.100000
Training Epoch: 7 [45568/47500]	Loss: 0.5451	LR: 0.100000
Training Epoch: 7 [45824/47500]	Loss: 0.4502	LR: 0.100000
Training Epoch: 7 [46080/47500]	Loss: 0.6141	LR: 0.100000
Training Epoch: 7 [46336/47500]	Loss: 0.5882	LR: 0.100000
Training Epoch: 7 [46592/47500]	Loss: 0.5078	LR: 0.100000
Training Epoch: 7 [46848/47500]	Loss: 0.6117	LR: 0.100000
Training Epoch: 7 [47104/47500]	Loss: 0.4597	LR: 0.100000
Training Epoch: 7 [47360/47500]	Loss: 0.6120	LR: 0.100000
Training Epoch: 7 [47500/47500]	Loss: 0.7225	LR: 0.100000
Epoch 7 - Average Train Loss: 0.5939, Train Accuracy: 0.7939
Epoch 7 training time consumed: 29.40s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0028, Accuracy: 0.7619, Time consumed:0.96s
Training Epoch: 8 [256/47500]	Loss: 0.6609	LR: 0.020000
Training Epoch: 8 [512/47500]	Loss: 0.5668	LR: 0.020000
Training Epoch: 8 [768/47500]	Loss: 0.6544	LR: 0.020000
Training Epoch: 8 [1024/47500]	Loss: 0.5284	LR: 0.020000
Training Epoch: 8 [1280/47500]	Loss: 0.5470	LR: 0.020000
Training Epoch: 8 [1536/47500]	Loss: 0.5010	LR: 0.020000
Training Epoch: 8 [1792/47500]	Loss: 0.5634	LR: 0.020000
Training Epoch: 8 [2048/47500]	Loss: 0.5247	LR: 0.020000
Training Epoch: 8 [2304/47500]	Loss: 0.6068	LR: 0.020000
Training Epoch: 8 [2560/47500]	Loss: 0.5281	LR: 0.020000
Training Epoch: 8 [2816/47500]	Loss: 0.4169	LR: 0.020000
Training Epoch: 8 [3072/47500]	Loss: 0.5269	LR: 0.020000
Training Epoch: 8 [3328/47500]	Loss: 0.5124	LR: 0.020000
Training Epoch: 8 [3584/47500]	Loss: 0.5344	LR: 0.020000
Training Epoch: 8 [3840/47500]	Loss: 0.4401	LR: 0.020000
Training Epoch: 8 [4096/47500]	Loss: 0.5084	LR: 0.020000
Training Epoch: 8 [4352/47500]	Loss: 0.4666	LR: 0.020000
Training Epoch: 8 [4608/47500]	Loss: 0.4740	LR: 0.020000
Training Epoch: 8 [4864/47500]	Loss: 0.4868	LR: 0.020000
Training Epoch: 8 [5120/47500]	Loss: 0.4478	LR: 0.020000
Training Epoch: 8 [5376/47500]	Loss: 0.4876	LR: 0.020000
Training Epoch: 8 [5632/47500]	Loss: 0.4453	LR: 0.020000
Training Epoch: 8 [5888/47500]	Loss: 0.4451	LR: 0.020000
Training Epoch: 8 [6144/47500]	Loss: 0.4190	LR: 0.020000
Training Epoch: 8 [6400/47500]	Loss: 0.4618	LR: 0.020000
Training Epoch: 8 [6656/47500]	Loss: 0.4915	LR: 0.020000
Training Epoch: 8 [6912/47500]	Loss: 0.4182	LR: 0.020000
Training Epoch: 8 [7168/47500]	Loss: 0.4615	LR: 0.020000
Training Epoch: 8 [7424/47500]	Loss: 0.4713	LR: 0.020000
Training Epoch: 8 [7680/47500]	Loss: 0.4335	LR: 0.020000
Training Epoch: 8 [7936/47500]	Loss: 0.5349	LR: 0.020000
Training Epoch: 8 [8192/47500]	Loss: 0.4017	LR: 0.020000
Training Epoch: 8 [8448/47500]	Loss: 0.5355	LR: 0.020000
Training Epoch: 8 [8704/47500]	Loss: 0.4032	LR: 0.020000
Training Epoch: 8 [8960/47500]	Loss: 0.4240	LR: 0.020000
Training Epoch: 8 [9216/47500]	Loss: 0.5063	LR: 0.020000
Training Epoch: 8 [9472/47500]	Loss: 0.4655	LR: 0.020000
Training Epoch: 8 [9728/47500]	Loss: 0.3827	LR: 0.020000
Training Epoch: 8 [9984/47500]	Loss: 0.4354	LR: 0.020000
Training Epoch: 8 [10240/47500]	Loss: 0.4990	LR: 0.020000
Training Epoch: 8 [10496/47500]	Loss: 0.4805	LR: 0.020000
Training Epoch: 8 [10752/47500]	Loss: 0.4791	LR: 0.020000
Training Epoch: 8 [11008/47500]	Loss: 0.4368	LR: 0.020000
Training Epoch: 8 [11264/47500]	Loss: 0.3975	LR: 0.020000
Training Epoch: 8 [11520/47500]	Loss: 0.4281	LR: 0.020000
Training Epoch: 8 [11776/47500]	Loss: 0.4990	LR: 0.020000
Training Epoch: 8 [12032/47500]	Loss: 0.3545	LR: 0.020000
Training Epoch: 8 [12288/47500]	Loss: 0.4502	LR: 0.020000
Training Epoch: 8 [12544/47500]	Loss: 0.4343	LR: 0.020000
Training Epoch: 8 [12800/47500]	Loss: 0.5304	LR: 0.020000
Training Epoch: 8 [13056/47500]	Loss: 0.4682	LR: 0.020000
Training Epoch: 8 [13312/47500]	Loss: 0.3544	LR: 0.020000
Training Epoch: 8 [13568/47500]	Loss: 0.4748	LR: 0.020000
Training Epoch: 8 [13824/47500]	Loss: 0.4681	LR: 0.020000
Training Epoch: 8 [14080/47500]	Loss: 0.4715	LR: 0.020000
Training Epoch: 8 [14336/47500]	Loss: 0.4189	LR: 0.020000
Training Epoch: 8 [14592/47500]	Loss: 0.4431	LR: 0.020000
Training Epoch: 8 [14848/47500]	Loss: 0.4406	LR: 0.020000
Training Epoch: 8 [15104/47500]	Loss: 0.3789	LR: 0.020000
Training Epoch: 8 [15360/47500]	Loss: 0.4335	LR: 0.020000
Training Epoch: 8 [15616/47500]	Loss: 0.4036	LR: 0.020000
Training Epoch: 8 [15872/47500]	Loss: 0.4661	LR: 0.020000
Training Epoch: 8 [16128/47500]	Loss: 0.4411	LR: 0.020000
Training Epoch: 8 [16384/47500]	Loss: 0.4283	LR: 0.020000
Training Epoch: 8 [16640/47500]	Loss: 0.4608	LR: 0.020000
Training Epoch: 8 [16896/47500]	Loss: 0.3959	LR: 0.020000
Training Epoch: 8 [17152/47500]	Loss: 0.4249	LR: 0.020000
Training Epoch: 8 [17408/47500]	Loss: 0.5122	LR: 0.020000
Training Epoch: 8 [17664/47500]	Loss: 0.4024	LR: 0.020000
Training Epoch: 8 [17920/47500]	Loss: 0.3952	LR: 0.020000
Training Epoch: 8 [18176/47500]	Loss: 0.4197	LR: 0.020000
Training Epoch: 8 [18432/47500]	Loss: 0.3674	LR: 0.020000
Training Epoch: 8 [18688/47500]	Loss: 0.4955	LR: 0.020000
Training Epoch: 8 [18944/47500]	Loss: 0.4744	LR: 0.020000
Training Epoch: 8 [19200/47500]	Loss: 0.5879	LR: 0.020000
Training Epoch: 8 [19456/47500]	Loss: 0.5231	LR: 0.020000
Training Epoch: 8 [19712/47500]	Loss: 0.4783	LR: 0.020000
Training Epoch: 8 [19968/47500]	Loss: 0.4247	LR: 0.020000
Training Epoch: 8 [20224/47500]	Loss: 0.4833	LR: 0.020000
Training Epoch: 8 [20480/47500]	Loss: 0.4915	LR: 0.020000
Training Epoch: 8 [20736/47500]	Loss: 0.3669	LR: 0.020000
Training Epoch: 8 [20992/47500]	Loss: 0.4134	LR: 0.020000
Training Epoch: 8 [21248/47500]	Loss: 0.4220	LR: 0.020000
Training Epoch: 8 [21504/47500]	Loss: 0.4199	LR: 0.020000
Training Epoch: 8 [21760/47500]	Loss: 0.4861	LR: 0.020000
Training Epoch: 8 [22016/47500]	Loss: 0.4304	LR: 0.020000
Training Epoch: 8 [22272/47500]	Loss: 0.4834	LR: 0.020000
Training Epoch: 8 [22528/47500]	Loss: 0.5390	LR: 0.020000
Training Epoch: 8 [22784/47500]	Loss: 0.3331	LR: 0.020000
Training Epoch: 8 [23040/47500]	Loss: 0.4297	LR: 0.020000
Training Epoch: 8 [23296/47500]	Loss: 0.4151	LR: 0.020000
Training Epoch: 8 [23552/47500]	Loss: 0.4086	LR: 0.020000
Training Epoch: 8 [23808/47500]	Loss: 0.3580	LR: 0.020000
Training Epoch: 8 [24064/47500]	Loss: 0.4176	LR: 0.020000
Training Epoch: 8 [24320/47500]	Loss: 0.4818	LR: 0.020000
Training Epoch: 8 [24576/47500]	Loss: 0.4868	LR: 0.020000
Training Epoch: 8 [24832/47500]	Loss: 0.3823	LR: 0.020000
Training Epoch: 8 [25088/47500]	Loss: 0.4623	LR: 0.020000
Training Epoch: 8 [25344/47500]	Loss: 0.4316	LR: 0.020000
Training Epoch: 8 [25600/47500]	Loss: 0.4336	LR: 0.020000
Training Epoch: 8 [25856/47500]	Loss: 0.4450	LR: 0.020000
Training Epoch: 8 [26112/47500]	Loss: 0.5140	LR: 0.020000
Training Epoch: 8 [26368/47500]	Loss: 0.3565	LR: 0.020000
Training Epoch: 8 [26624/47500]	Loss: 0.4071	LR: 0.020000
Training Epoch: 8 [26880/47500]	Loss: 0.4889	LR: 0.020000
Training Epoch: 8 [27136/47500]	Loss: 0.4264	LR: 0.020000
Training Epoch: 8 [27392/47500]	Loss: 0.3626	LR: 0.020000
Training Epoch: 8 [27648/47500]	Loss: 0.3612	LR: 0.020000
Training Epoch: 8 [27904/47500]	Loss: 0.5211	LR: 0.020000
Training Epoch: 8 [28160/47500]	Loss: 0.4797	LR: 0.020000
Training Epoch: 8 [28416/47500]	Loss: 0.3616	LR: 0.020000
Training Epoch: 8 [28672/47500]	Loss: 0.4647	LR: 0.020000
Training Epoch: 8 [28928/47500]	Loss: 0.5100	LR: 0.020000
Training Epoch: 8 [29184/47500]	Loss: 0.3471	LR: 0.020000
Training Epoch: 8 [29440/47500]	Loss: 0.4302	LR: 0.020000
Training Epoch: 8 [29696/47500]	Loss: 0.4768	LR: 0.020000
Training Epoch: 8 [29952/47500]	Loss: 0.3855	LR: 0.020000
Training Epoch: 8 [30208/47500]	Loss: 0.3843	LR: 0.020000
Training Epoch: 8 [30464/47500]	Loss: 0.3861	LR: 0.020000
Training Epoch: 8 [30720/47500]	Loss: 0.4017	LR: 0.020000
Training Epoch: 8 [30976/47500]	Loss: 0.4206	LR: 0.020000
Training Epoch: 8 [31232/47500]	Loss: 0.4113	LR: 0.020000
Training Epoch: 8 [31488/47500]	Loss: 0.5207	LR: 0.020000
Training Epoch: 8 [31744/47500]	Loss: 0.4494	LR: 0.020000
Training Epoch: 8 [32000/47500]	Loss: 0.4059	LR: 0.020000
Training Epoch: 8 [32256/47500]	Loss: 0.3874	LR: 0.020000
Training Epoch: 8 [32512/47500]	Loss: 0.5009	LR: 0.020000
Training Epoch: 8 [32768/47500]	Loss: 0.4550	LR: 0.020000
Training Epoch: 8 [33024/47500]	Loss: 0.4046	LR: 0.020000
Training Epoch: 8 [33280/47500]	Loss: 0.4662	LR: 0.020000
Training Epoch: 8 [33536/47500]	Loss: 0.5062	LR: 0.020000
Training Epoch: 8 [33792/47500]	Loss: 0.4300	LR: 0.020000
Training Epoch: 8 [34048/47500]	Loss: 0.4565	LR: 0.020000
Training Epoch: 8 [34304/47500]	Loss: 0.3297	LR: 0.020000
Training Epoch: 8 [34560/47500]	Loss: 0.4148	LR: 0.020000
Training Epoch: 8 [34816/47500]	Loss: 0.4599	LR: 0.020000
Training Epoch: 8 [35072/47500]	Loss: 0.5157	LR: 0.020000
Training Epoch: 8 [35328/47500]	Loss: 0.4371	LR: 0.020000
Training Epoch: 8 [35584/47500]	Loss: 0.5232	LR: 0.020000
Training Epoch: 8 [35840/47500]	Loss: 0.3634	LR: 0.020000
Training Epoch: 8 [36096/47500]	Loss: 0.3914	LR: 0.020000
Training Epoch: 8 [36352/47500]	Loss: 0.3174	LR: 0.020000
Training Epoch: 8 [36608/47500]	Loss: 0.4014	LR: 0.020000
Training Epoch: 8 [36864/47500]	Loss: 0.3808	LR: 0.020000
Training Epoch: 8 [37120/47500]	Loss: 0.3812	LR: 0.020000
Training Epoch: 8 [37376/47500]	Loss: 0.4301	LR: 0.020000
Training Epoch: 8 [37632/47500]	Loss: 0.3854	LR: 0.020000
Training Epoch: 8 [37888/47500]	Loss: 0.3788	LR: 0.020000
Training Epoch: 8 [38144/47500]	Loss: 0.4549	LR: 0.020000
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Training Epoch: 8 [47360/47500]	Loss: 0.4707	LR: 0.020000
Training Epoch: 8 [47500/47500]	Loss: 0.4485	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4443, Train Accuracy: 0.8445
Epoch 8 training time consumed: 29.39s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0017, Accuracy: 0.8561, Time consumed:1.03s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_14h_29m_00s/ResNet18-Cifar10-seed6-ret50-8-best.pth
Training Epoch: 9 [256/47500]	Loss: 0.4364	LR: 0.020000
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Training Epoch: 9 [47500/47500]	Loss: 0.4108	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4005, Train Accuracy: 0.8593
Epoch 9 training time consumed: 29.33s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0017, Accuracy: 0.8560, Time consumed:1.01s
Training Epoch: 10 [256/47500]	Loss: 0.4183	LR: 0.020000
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Training Epoch: 10 [47500/47500]	Loss: 0.4285	LR: 0.020000
Epoch 10 - Average Train Loss: 0.3847, Train Accuracy: 0.8658
Epoch 10 training time consumed: 29.07s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0015, Accuracy: 0.8657, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_14h_29m_00s/ResNet18-Cifar10-seed6-ret50-10-best.pth
Training Epoch: 11 [256/47500]	Loss: 0.3468	LR: 0.020000
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Training Epoch: 11 [40704/47500]	Loss: 0.2521	LR: 0.020000
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Training Epoch: 11 [47360/47500]	Loss: 0.3120	LR: 0.020000
Training Epoch: 11 [47500/47500]	Loss: 0.3255	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3600, Train Accuracy: 0.8736
Epoch 11 training time consumed: 29.65s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0015, Accuracy: 0.8735, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_14h_29m_00s/ResNet18-Cifar10-seed6-ret50-11-best.pth
Training Epoch: 12 [256/47500]	Loss: 0.3220	LR: 0.004000
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Training Epoch: 12 [47360/47500]	Loss: 0.2888	LR: 0.004000
Training Epoch: 12 [47500/47500]	Loss: 0.3599	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3180, Train Accuracy: 0.8880
Epoch 12 training time consumed: 29.30s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0014, Accuracy: 0.8812, Time consumed:1.00s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_14h_29m_00s/ResNet18-Cifar10-seed6-ret50-12-best.pth
Training Epoch: 13 [256/47500]	Loss: 0.2625	LR: 0.004000
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Training Epoch: 13 [47500/47500]	Loss: 0.3455	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3005, Train Accuracy: 0.8950
Epoch 13 training time consumed: 29.32s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0014, Accuracy: 0.8871, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_14h_29m_00s/ResNet18-Cifar10-seed6-ret50-13-best.pth
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Training Epoch: 14 [47360/47500]	Loss: 0.2382	LR: 0.004000
Training Epoch: 14 [47500/47500]	Loss: 0.4276	LR: 0.004000
Epoch 14 - Average Train Loss: 0.2947, Train Accuracy: 0.8954
Epoch 14 training time consumed: 29.03s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0013, Accuracy: 0.8873, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_14h_29m_00s/ResNet18-Cifar10-seed6-ret50-14-best.pth
Training Epoch: 15 [256/47500]	Loss: 0.2956	LR: 0.004000
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Training Epoch: 15 [47500/47500]	Loss: 0.2067	LR: 0.004000
Epoch 15 - Average Train Loss: 0.2857, Train Accuracy: 0.8993
Epoch 15 training time consumed: 29.31s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0013, Accuracy: 0.8924, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_14h_29m_00s/ResNet18-Cifar10-seed6-ret50-15-best.pth
Training Epoch: 16 [256/47500]	Loss: 0.3355	LR: 0.000800
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Training Epoch: 16 [19712/47500]	Loss: 0.2774	LR: 0.000800
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Training Epoch: 16 [20224/47500]	Loss: 0.1936	LR: 0.000800
Training Epoch: 16 [20480/47500]	Loss: 0.2527	LR: 0.000800
Training Epoch: 16 [20736/47500]	Loss: 0.2735	LR: 0.000800
Training Epoch: 16 [20992/47500]	Loss: 0.2990	LR: 0.000800
Training Epoch: 16 [21248/47500]	Loss: 0.2635	LR: 0.000800
Training Epoch: 16 [21504/47500]	Loss: 0.2618	LR: 0.000800
Training Epoch: 16 [21760/47500]	Loss: 0.2561	LR: 0.000800
Training Epoch: 16 [22016/47500]	Loss: 0.2706	LR: 0.000800
Training Epoch: 16 [22272/47500]	Loss: 0.2843	LR: 0.000800
Training Epoch: 16 [22528/47500]	Loss: 0.2535	LR: 0.000800
Training Epoch: 16 [22784/47500]	Loss: 0.2958	LR: 0.000800
Training Epoch: 16 [23040/47500]	Loss: 0.2799	LR: 0.000800
Training Epoch: 16 [23296/47500]	Loss: 0.2337	LR: 0.000800
Training Epoch: 16 [23552/47500]	Loss: 0.2889	LR: 0.000800
Training Epoch: 16 [23808/47500]	Loss: 0.2826	LR: 0.000800
Training Epoch: 16 [24064/47500]	Loss: 0.3208	LR: 0.000800
Training Epoch: 16 [24320/47500]	Loss: 0.3040	LR: 0.000800
Training Epoch: 16 [24576/47500]	Loss: 0.2640	LR: 0.000800
Training Epoch: 16 [24832/47500]	Loss: 0.2775	LR: 0.000800
Training Epoch: 16 [25088/47500]	Loss: 0.2369	LR: 0.000800
Training Epoch: 16 [25344/47500]	Loss: 0.3184	LR: 0.000800
Training Epoch: 16 [25600/47500]	Loss: 0.2027	LR: 0.000800
Training Epoch: 16 [25856/47500]	Loss: 0.3199	LR: 0.000800
Training Epoch: 16 [26112/47500]	Loss: 0.2584	LR: 0.000800
Training Epoch: 16 [26368/47500]	Loss: 0.3064	LR: 0.000800
Training Epoch: 16 [26624/47500]	Loss: 0.2866	LR: 0.000800
Training Epoch: 16 [26880/47500]	Loss: 0.2740	LR: 0.000800
Training Epoch: 16 [27136/47500]	Loss: 0.2436	LR: 0.000800
Training Epoch: 16 [27392/47500]	Loss: 0.3012	LR: 0.000800
Training Epoch: 16 [27648/47500]	Loss: 0.3094	LR: 0.000800
Training Epoch: 16 [27904/47500]	Loss: 0.3261	LR: 0.000800
Training Epoch: 16 [28160/47500]	Loss: 0.2714	LR: 0.000800
Training Epoch: 16 [28416/47500]	Loss: 0.2569	LR: 0.000800
Training Epoch: 16 [28672/47500]	Loss: 0.2251	LR: 0.000800
Training Epoch: 16 [28928/47500]	Loss: 0.2278	LR: 0.000800
Training Epoch: 16 [29184/47500]	Loss: 0.2687	LR: 0.000800
Training Epoch: 16 [29440/47500]	Loss: 0.3612	LR: 0.000800
Training Epoch: 16 [29696/47500]	Loss: 0.2920	LR: 0.000800
Training Epoch: 16 [29952/47500]	Loss: 0.3055	LR: 0.000800
Training Epoch: 16 [30208/47500]	Loss: 0.2787	LR: 0.000800
Training Epoch: 16 [30464/47500]	Loss: 0.2347	LR: 0.000800
Training Epoch: 16 [30720/47500]	Loss: 0.2775	LR: 0.000800
Training Epoch: 16 [30976/47500]	Loss: 0.4212	LR: 0.000800
Training Epoch: 16 [31232/47500]	Loss: 0.2891	LR: 0.000800
Training Epoch: 16 [31488/47500]	Loss: 0.2913	LR: 0.000800
Training Epoch: 16 [31744/47500]	Loss: 0.3102	LR: 0.000800
Training Epoch: 16 [32000/47500]	Loss: 0.2474	LR: 0.000800
Training Epoch: 16 [32256/47500]	Loss: 0.2577	LR: 0.000800
Training Epoch: 16 [32512/47500]	Loss: 0.3114	LR: 0.000800
Training Epoch: 16 [32768/47500]	Loss: 0.2343	LR: 0.000800
Training Epoch: 16 [33024/47500]	Loss: 0.3071	LR: 0.000800
Training Epoch: 16 [33280/47500]	Loss: 0.3265	LR: 0.000800
Training Epoch: 16 [33536/47500]	Loss: 0.2581	LR: 0.000800
Training Epoch: 16 [33792/47500]	Loss: 0.1947	LR: 0.000800
Training Epoch: 16 [34048/47500]	Loss: 0.3132	LR: 0.000800
Training Epoch: 16 [34304/47500]	Loss: 0.2901	LR: 0.000800
Training Epoch: 16 [34560/47500]	Loss: 0.2423	LR: 0.000800
Training Epoch: 16 [34816/47500]	Loss: 0.2734	LR: 0.000800
Training Epoch: 16 [35072/47500]	Loss: 0.2959	LR: 0.000800
Training Epoch: 16 [35328/47500]	Loss: 0.3507	LR: 0.000800
Training Epoch: 16 [35584/47500]	Loss: 0.2900	LR: 0.000800
Training Epoch: 16 [35840/47500]	Loss: 0.2556	LR: 0.000800
Training Epoch: 16 [36096/47500]	Loss: 0.3154	LR: 0.000800
Training Epoch: 16 [36352/47500]	Loss: 0.2654	LR: 0.000800
Training Epoch: 16 [36608/47500]	Loss: 0.3331	LR: 0.000800
Training Epoch: 16 [36864/47500]	Loss: 0.2821	LR: 0.000800
Training Epoch: 16 [37120/47500]	Loss: 0.2861	LR: 0.000800
Training Epoch: 16 [37376/47500]	Loss: 0.2846	LR: 0.000800
Training Epoch: 16 [37632/47500]	Loss: 0.2926	LR: 0.000800
Training Epoch: 16 [37888/47500]	Loss: 0.2364	LR: 0.000800
Training Epoch: 16 [38144/47500]	Loss: 0.3111	LR: 0.000800
Training Epoch: 16 [38400/47500]	Loss: 0.3264	LR: 0.000800
Training Epoch: 16 [38656/47500]	Loss: 0.2630	LR: 0.000800
Training Epoch: 16 [38912/47500]	Loss: 0.2152	LR: 0.000800
Training Epoch: 16 [39168/47500]	Loss: 0.2236	LR: 0.000800
Training Epoch: 16 [39424/47500]	Loss: 0.2850	LR: 0.000800
Training Epoch: 16 [39680/47500]	Loss: 0.2563	LR: 0.000800
Training Epoch: 16 [39936/47500]	Loss: 0.2827	LR: 0.000800
Training Epoch: 16 [40192/47500]	Loss: 0.2950	LR: 0.000800
Training Epoch: 16 [40448/47500]	Loss: 0.2286	LR: 0.000800
Training Epoch: 16 [40704/47500]	Loss: 0.2687	LR: 0.000800
Training Epoch: 16 [40960/47500]	Loss: 0.3590	LR: 0.000800
Training Epoch: 16 [41216/47500]	Loss: 0.2346	LR: 0.000800
Training Epoch: 16 [41472/47500]	Loss: 0.2639	LR: 0.000800
Training Epoch: 16 [41728/47500]	Loss: 0.2715	LR: 0.000800
Training Epoch: 16 [41984/47500]	Loss: 0.2746	LR: 0.000800
Training Epoch: 16 [42240/47500]	Loss: 0.2195	LR: 0.000800
Training Epoch: 16 [42496/47500]	Loss: 0.2581	LR: 0.000800
Training Epoch: 16 [42752/47500]	Loss: 0.3496	LR: 0.000800
Training Epoch: 16 [43008/47500]	Loss: 0.2386	LR: 0.000800
Training Epoch: 16 [43264/47500]	Loss: 0.2479	LR: 0.000800
Training Epoch: 16 [43520/47500]	Loss: 0.2551	LR: 0.000800
Training Epoch: 16 [43776/47500]	Loss: 0.1835	LR: 0.000800
Training Epoch: 16 [44032/47500]	Loss: 0.3212	LR: 0.000800
Training Epoch: 16 [44288/47500]	Loss: 0.2336	LR: 0.000800
Training Epoch: 16 [44544/47500]	Loss: 0.3029	LR: 0.000800
Training Epoch: 16 [44800/47500]	Loss: 0.2987	LR: 0.000800
Training Epoch: 16 [45056/47500]	Loss: 0.3110	LR: 0.000800
Training Epoch: 16 [45312/47500]	Loss: 0.3144	LR: 0.000800
Training Epoch: 16 [45568/47500]	Loss: 0.2596	LR: 0.000800
Training Epoch: 16 [45824/47500]	Loss: 0.2380	LR: 0.000800
Training Epoch: 16 [46080/47500]	Loss: 0.2129	LR: 0.000800
Training Epoch: 16 [46336/47500]	Loss: 0.2786	LR: 0.000800
Training Epoch: 16 [46592/47500]	Loss: 0.3058	LR: 0.000800
Training Epoch: 16 [46848/47500]	Loss: 0.2867	LR: 0.000800
Training Epoch: 16 [47104/47500]	Loss: 0.2175	LR: 0.000800
Training Epoch: 16 [47360/47500]	Loss: 0.2307	LR: 0.000800
Training Epoch: 16 [47500/47500]	Loss: 0.2507	LR: 0.000800
Epoch 16 - Average Train Loss: 0.2745, Train Accuracy: 0.9045
Epoch 16 training time consumed: 29.32s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0013, Accuracy: 0.8920, Time consumed:0.98s
Training Epoch: 17 [256/47500]	Loss: 0.2972	LR: 0.000800
Training Epoch: 17 [512/47500]	Loss: 0.2369	LR: 0.000800
Training Epoch: 17 [768/47500]	Loss: 0.2924	LR: 0.000800
Training Epoch: 17 [1024/47500]	Loss: 0.2403	LR: 0.000800
Training Epoch: 17 [1280/47500]	Loss: 0.2407	LR: 0.000800
Training Epoch: 17 [1536/47500]	Loss: 0.2722	LR: 0.000800
Training Epoch: 17 [1792/47500]	Loss: 0.2808	LR: 0.000800
Training Epoch: 17 [2048/47500]	Loss: 0.2564	LR: 0.000800
Training Epoch: 17 [2304/47500]	Loss: 0.2690	LR: 0.000800
Training Epoch: 17 [2560/47500]	Loss: 0.2512	LR: 0.000800
Training Epoch: 17 [2816/47500]	Loss: 0.3190	LR: 0.000800
Training Epoch: 17 [3072/47500]	Loss: 0.2839	LR: 0.000800
Training Epoch: 17 [3328/47500]	Loss: 0.2705	LR: 0.000800
Training Epoch: 17 [3584/47500]	Loss: 0.2795	LR: 0.000800
Training Epoch: 17 [3840/47500]	Loss: 0.2576	LR: 0.000800
Training Epoch: 17 [4096/47500]	Loss: 0.2095	LR: 0.000800
Training Epoch: 17 [4352/47500]	Loss: 0.2745	LR: 0.000800
Training Epoch: 17 [4608/47500]	Loss: 0.2469	LR: 0.000800
Training Epoch: 17 [4864/47500]	Loss: 0.2894	LR: 0.000800
Training Epoch: 17 [5120/47500]	Loss: 0.2497	LR: 0.000800
Training Epoch: 17 [5376/47500]	Loss: 0.2683	LR: 0.000800
Training Epoch: 17 [5632/47500]	Loss: 0.2807	LR: 0.000800
Training Epoch: 17 [5888/47500]	Loss: 0.2518	LR: 0.000800
Training Epoch: 17 [6144/47500]	Loss: 0.3515	LR: 0.000800
Training Epoch: 17 [6400/47500]	Loss: 0.2997	LR: 0.000800
Training Epoch: 17 [6656/47500]	Loss: 0.2904	LR: 0.000800
Training Epoch: 17 [6912/47500]	Loss: 0.2942	LR: 0.000800
Training Epoch: 17 [7168/47500]	Loss: 0.3033	LR: 0.000800
Training Epoch: 17 [7424/47500]	Loss: 0.2179	LR: 0.000800
Training Epoch: 17 [7680/47500]	Loss: 0.3047	LR: 0.000800
Training Epoch: 17 [7936/47500]	Loss: 0.2684	LR: 0.000800
Training Epoch: 17 [8192/47500]	Loss: 0.3366	LR: 0.000800
Training Epoch: 17 [8448/47500]	Loss: 0.2609	LR: 0.000800
Training Epoch: 17 [8704/47500]	Loss: 0.2936	LR: 0.000800
Training Epoch: 17 [8960/47500]	Loss: 0.2972	LR: 0.000800
Training Epoch: 17 [9216/47500]	Loss: 0.2494	LR: 0.000800
Training Epoch: 17 [9472/47500]	Loss: 0.1876	LR: 0.000800
Training Epoch: 17 [9728/47500]	Loss: 0.2590	LR: 0.000800
Training Epoch: 17 [9984/47500]	Loss: 0.2626	LR: 0.000800
Training Epoch: 17 [10240/47500]	Loss: 0.2530	LR: 0.000800
Training Epoch: 17 [10496/47500]	Loss: 0.2369	LR: 0.000800
Training Epoch: 17 [10752/47500]	Loss: 0.2968	LR: 0.000800
Training Epoch: 17 [11008/47500]	Loss: 0.2517	LR: 0.000800
Training Epoch: 17 [11264/47500]	Loss: 0.4011	LR: 0.000800
Training Epoch: 17 [11520/47500]	Loss: 0.2577	LR: 0.000800
Training Epoch: 17 [11776/47500]	Loss: 0.2424	LR: 0.000800
Training Epoch: 17 [12032/47500]	Loss: 0.2912	LR: 0.000800
Training Epoch: 17 [12288/47500]	Loss: 0.3125	LR: 0.000800
Training Epoch: 17 [12544/47500]	Loss: 0.2244	LR: 0.000800
Training Epoch: 17 [12800/47500]	Loss: 0.2416	LR: 0.000800
Training Epoch: 17 [13056/47500]	Loss: 0.2555	LR: 0.000800
Training Epoch: 17 [13312/47500]	Loss: 0.2959	LR: 0.000800
Training Epoch: 17 [13568/47500]	Loss: 0.3209	LR: 0.000800
Training Epoch: 17 [13824/47500]	Loss: 0.2642	LR: 0.000800
Training Epoch: 17 [14080/47500]	Loss: 0.3394	LR: 0.000800
Training Epoch: 17 [14336/47500]	Loss: 0.2353	LR: 0.000800
Training Epoch: 17 [14592/47500]	Loss: 0.1880	LR: 0.000800
Training Epoch: 17 [14848/47500]	Loss: 0.3071	LR: 0.000800
Training Epoch: 17 [15104/47500]	Loss: 0.2860	LR: 0.000800
Training Epoch: 17 [15360/47500]	Loss: 0.2775	LR: 0.000800
Training Epoch: 17 [15616/47500]	Loss: 0.1898	LR: 0.000800
Training Epoch: 17 [15872/47500]	Loss: 0.2499	LR: 0.000800
Training Epoch: 17 [16128/47500]	Loss: 0.2488	LR: 0.000800
Training Epoch: 17 [16384/47500]	Loss: 0.2759	LR: 0.000800
Training Epoch: 17 [16640/47500]	Loss: 0.2595	LR: 0.000800
Training Epoch: 17 [16896/47500]	Loss: 0.3123	LR: 0.000800
Training Epoch: 17 [17152/47500]	Loss: 0.2355	LR: 0.000800
Training Epoch: 17 [17408/47500]	Loss: 0.1858	LR: 0.000800
Training Epoch: 17 [17664/47500]	Loss: 0.3357	LR: 0.000800
Training Epoch: 17 [17920/47500]	Loss: 0.3348	LR: 0.000800
Training Epoch: 17 [18176/47500]	Loss: 0.2582	LR: 0.000800
Training Epoch: 17 [18432/47500]	Loss: 0.2175	LR: 0.000800
Training Epoch: 17 [18688/47500]	Loss: 0.2636	LR: 0.000800
Training Epoch: 17 [18944/47500]	Loss: 0.3333	LR: 0.000800
Training Epoch: 17 [19200/47500]	Loss: 0.2665	LR: 0.000800
Training Epoch: 17 [19456/47500]	Loss: 0.3055	LR: 0.000800
Training Epoch: 17 [19712/47500]	Loss: 0.3287	LR: 0.000800
Training Epoch: 17 [19968/47500]	Loss: 0.2371	LR: 0.000800
Training Epoch: 17 [20224/47500]	Loss: 0.2758	LR: 0.000800
Training Epoch: 17 [20480/47500]	Loss: 0.2154	LR: 0.000800
Training Epoch: 17 [20736/47500]	Loss: 0.1725	LR: 0.000800
Training Epoch: 17 [20992/47500]	Loss: 0.2765	LR: 0.000800
Training Epoch: 17 [21248/47500]	Loss: 0.2995	LR: 0.000800
Training Epoch: 17 [21504/47500]	Loss: 0.2055	LR: 0.000800
Training Epoch: 17 [21760/47500]	Loss: 0.2417	LR: 0.000800
Training Epoch: 17 [22016/47500]	Loss: 0.2159	LR: 0.000800
Training Epoch: 17 [22272/47500]	Loss: 0.2638	LR: 0.000800
Training Epoch: 17 [22528/47500]	Loss: 0.3449	LR: 0.000800
Training Epoch: 17 [22784/47500]	Loss: 0.1753	LR: 0.000800
Training Epoch: 17 [23040/47500]	Loss: 0.3513	LR: 0.000800
Training Epoch: 17 [23296/47500]	Loss: 0.3576	LR: 0.000800
Training Epoch: 17 [23552/47500]	Loss: 0.2123	LR: 0.000800
Training Epoch: 17 [23808/47500]	Loss: 0.2507	LR: 0.000800
Training Epoch: 17 [24064/47500]	Loss: 0.3169	LR: 0.000800
Training Epoch: 17 [24320/47500]	Loss: 0.2580	LR: 0.000800
Training Epoch: 17 [24576/47500]	Loss: 0.2274	LR: 0.000800
Training Epoch: 17 [24832/47500]	Loss: 0.2570	LR: 0.000800
Training Epoch: 17 [25088/47500]	Loss: 0.2929	LR: 0.000800
Training Epoch: 17 [25344/47500]	Loss: 0.2300	LR: 0.000800
Training Epoch: 17 [25600/47500]	Loss: 0.2761	LR: 0.000800
Training Epoch: 17 [25856/47500]	Loss: 0.3060	LR: 0.000800
Training Epoch: 17 [26112/47500]	Loss: 0.2906	LR: 0.000800
Training Epoch: 17 [26368/47500]	Loss: 0.4009	LR: 0.000800
Training Epoch: 17 [26624/47500]	Loss: 0.2539	LR: 0.000800
Training Epoch: 17 [26880/47500]	Loss: 0.2819	LR: 0.000800
Training Epoch: 17 [27136/47500]	Loss: 0.1933	LR: 0.000800
Training Epoch: 17 [27392/47500]	Loss: 0.2808	LR: 0.000800
Training Epoch: 17 [27648/47500]	Loss: 0.2861	LR: 0.000800
Training Epoch: 17 [27904/47500]	Loss: 0.2329	LR: 0.000800
Training Epoch: 17 [28160/47500]	Loss: 0.2750	LR: 0.000800
Training Epoch: 17 [28416/47500]	Loss: 0.2581	LR: 0.000800
Training Epoch: 17 [28672/47500]	Loss: 0.3293	LR: 0.000800
Training Epoch: 17 [28928/47500]	Loss: 0.2933	LR: 0.000800
Training Epoch: 17 [29184/47500]	Loss: 0.3269	LR: 0.000800
Training Epoch: 17 [29440/47500]	Loss: 0.2213	LR: 0.000800
Training Epoch: 17 [29696/47500]	Loss: 0.2529	LR: 0.000800
Training Epoch: 17 [29952/47500]	Loss: 0.2601	LR: 0.000800
Training Epoch: 17 [30208/47500]	Loss: 0.2944	LR: 0.000800
Training Epoch: 17 [30464/47500]	Loss: 0.2995	LR: 0.000800
Training Epoch: 17 [30720/47500]	Loss: 0.2866	LR: 0.000800
Training Epoch: 17 [30976/47500]	Loss: 0.2379	LR: 0.000800
Training Epoch: 17 [31232/47500]	Loss: 0.2744	LR: 0.000800
Training Epoch: 17 [31488/47500]	Loss: 0.2229	LR: 0.000800
Training Epoch: 17 [31744/47500]	Loss: 0.2777	LR: 0.000800
Training Epoch: 17 [32000/47500]	Loss: 0.3210	LR: 0.000800
Training Epoch: 17 [32256/47500]	Loss: 0.3475	LR: 0.000800
Training Epoch: 17 [32512/47500]	Loss: 0.2815	LR: 0.000800
Training Epoch: 17 [32768/47500]	Loss: 0.2973	LR: 0.000800
Training Epoch: 17 [33024/47500]	Loss: 0.2852	LR: 0.000800
Training Epoch: 17 [33280/47500]	Loss: 0.2490	LR: 0.000800
Training Epoch: 17 [33536/47500]	Loss: 0.3297	LR: 0.000800
Training Epoch: 17 [33792/47500]	Loss: 0.2737	LR: 0.000800
Training Epoch: 17 [34048/47500]	Loss: 0.2303	LR: 0.000800
Training Epoch: 17 [34304/47500]	Loss: 0.3027	LR: 0.000800
Training Epoch: 17 [34560/47500]	Loss: 0.2161	LR: 0.000800
Training Epoch: 17 [34816/47500]	Loss: 0.2822	LR: 0.000800
Training Epoch: 17 [35072/47500]	Loss: 0.2360	LR: 0.000800
Training Epoch: 17 [35328/47500]	Loss: 0.2193	LR: 0.000800
Training Epoch: 17 [35584/47500]	Loss: 0.2352	LR: 0.000800
Training Epoch: 17 [35840/47500]	Loss: 0.1822	LR: 0.000800
Training Epoch: 17 [36096/47500]	Loss: 0.3055	LR: 0.000800
Training Epoch: 17 [36352/47500]	Loss: 0.3123	LR: 0.000800
Training Epoch: 17 [36608/47500]	Loss: 0.2681	LR: 0.000800
Training Epoch: 17 [36864/47500]	Loss: 0.3023	LR: 0.000800
Training Epoch: 17 [37120/47500]	Loss: 0.1988	LR: 0.000800
Training Epoch: 17 [37376/47500]	Loss: 0.2499	LR: 0.000800
Training Epoch: 17 [37632/47500]	Loss: 0.2223	LR: 0.000800
Training Epoch: 17 [37888/47500]	Loss: 0.3119	LR: 0.000800
Training Epoch: 17 [38144/47500]	Loss: 0.2601	LR: 0.000800
Training Epoch: 17 [38400/47500]	Loss: 0.3505	LR: 0.000800
Training Epoch: 17 [38656/47500]	Loss: 0.2545	LR: 0.000800
Training Epoch: 17 [38912/47500]	Loss: 0.2407	LR: 0.000800
Training Epoch: 17 [39168/47500]	Loss: 0.2891	LR: 0.000800
Training Epoch: 17 [39424/47500]	Loss: 0.1959	LR: 0.000800
Training Epoch: 17 [39680/47500]	Loss: 0.3403	LR: 0.000800
Training Epoch: 17 [39936/47500]	Loss: 0.2163	LR: 0.000800
Training Epoch: 17 [40192/47500]	Loss: 0.3363	LR: 0.000800
Training Epoch: 17 [40448/47500]	Loss: 0.2887	LR: 0.000800
Training Epoch: 17 [40704/47500]	Loss: 0.2785	LR: 0.000800
Training Epoch: 17 [40960/47500]	Loss: 0.3359	LR: 0.000800
Training Epoch: 17 [41216/47500]	Loss: 0.2323	LR: 0.000800
Training Epoch: 17 [41472/47500]	Loss: 0.2107	LR: 0.000800
Training Epoch: 17 [41728/47500]	Loss: 0.3235	LR: 0.000800
Training Epoch: 17 [41984/47500]	Loss: 0.2800	LR: 0.000800
Training Epoch: 17 [42240/47500]	Loss: 0.2530	LR: 0.000800
Training Epoch: 17 [42496/47500]	Loss: 0.2261	LR: 0.000800
Training Epoch: 17 [42752/47500]	Loss: 0.2637	LR: 0.000800
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Training Epoch: 17 [43264/47500]	Loss: 0.3035	LR: 0.000800
Training Epoch: 17 [43520/47500]	Loss: 0.2907	LR: 0.000800
Training Epoch: 17 [43776/47500]	Loss: 0.3344	LR: 0.000800
Training Epoch: 17 [44032/47500]	Loss: 0.3898	LR: 0.000800
Training Epoch: 17 [44288/47500]	Loss: 0.2308	LR: 0.000800
Training Epoch: 17 [44544/47500]	Loss: 0.2219	LR: 0.000800
Training Epoch: 17 [44800/47500]	Loss: 0.2790	LR: 0.000800
Training Epoch: 17 [45056/47500]	Loss: 0.2247	LR: 0.000800
Training Epoch: 17 [45312/47500]	Loss: 0.2716	LR: 0.000800
Training Epoch: 17 [45568/47500]	Loss: 0.2424	LR: 0.000800
Training Epoch: 17 [45824/47500]	Loss: 0.3119	LR: 0.000800
Training Epoch: 17 [46080/47500]	Loss: 0.2618	LR: 0.000800
Training Epoch: 17 [46336/47500]	Loss: 0.2854	LR: 0.000800
Training Epoch: 17 [46592/47500]	Loss: 0.2227	LR: 0.000800
Training Epoch: 17 [46848/47500]	Loss: 0.2986	LR: 0.000800
Training Epoch: 17 [47104/47500]	Loss: 0.2085	LR: 0.000800
Training Epoch: 17 [47360/47500]	Loss: 0.2795	LR: 0.000800
Training Epoch: 17 [47500/47500]	Loss: 0.4331	LR: 0.000800
Epoch 17 - Average Train Loss: 0.2713, Train Accuracy: 0.9060
Epoch 17 training time consumed: 29.25s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0013, Accuracy: 0.8923, Time consumed:0.97s
Training Epoch: 18 [256/47500]	Loss: 0.2776	LR: 0.000800
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Training Epoch: 18 [45824/47500]	Loss: 0.2588	LR: 0.000800
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Training Epoch: 18 [46336/47500]	Loss: 0.2468	LR: 0.000800
Training Epoch: 18 [46592/47500]	Loss: 0.2879	LR: 0.000800
Training Epoch: 18 [46848/47500]	Loss: 0.2454	LR: 0.000800
Training Epoch: 18 [47104/47500]	Loss: 0.2031	LR: 0.000800
Training Epoch: 18 [47360/47500]	Loss: 0.2351	LR: 0.000800
Training Epoch: 18 [47500/47500]	Loss: 0.1602	LR: 0.000800
Epoch 18 - Average Train Loss: 0.2666, Train Accuracy: 0.9068
Epoch 18 training time consumed: 29.13s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0013, Accuracy: 0.8925, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_14h_29m_00s/ResNet18-Cifar10-seed6-ret50-18-best.pth
Training Epoch: 19 [256/47500]	Loss: 0.2807	LR: 0.000800
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Training Epoch: 19 [768/47500]	Loss: 0.2741	LR: 0.000800
Training Epoch: 19 [1024/47500]	Loss: 0.2156	LR: 0.000800
Training Epoch: 19 [1280/47500]	Loss: 0.2647	LR: 0.000800
Training Epoch: 19 [1536/47500]	Loss: 0.2905	LR: 0.000800
Training Epoch: 19 [1792/47500]	Loss: 0.2681	LR: 0.000800
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Training Epoch: 19 [45568/47500]	Loss: 0.2858	LR: 0.000800
Training Epoch: 19 [45824/47500]	Loss: 0.2536	LR: 0.000800
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Training Epoch: 19 [47104/47500]	Loss: 0.2786	LR: 0.000800
Training Epoch: 19 [47360/47500]	Loss: 0.3081	LR: 0.000800
Training Epoch: 19 [47500/47500]	Loss: 0.3534	LR: 0.000800
Epoch 19 - Average Train Loss: 0.2673, Train Accuracy: 0.9077
Epoch 19 training time consumed: 29.34s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0013, Accuracy: 0.8934, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_14h_29m_00s/ResNet18-Cifar10-seed6-ret50-19-best.pth
Training Epoch: 20 [256/47500]	Loss: 0.3351	LR: 0.000800
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Training Epoch: 20 [47360/47500]	Loss: 0.2877	LR: 0.000800
Training Epoch: 20 [47500/47500]	Loss: 0.1849	LR: 0.000800
Epoch 20 - Average Train Loss: 0.2665, Train Accuracy: 0.9063
Epoch 20 training time consumed: 29.21s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0013, Accuracy: 0.8937, Time consumed:1.01s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_14h_29m_00s/ResNet18-Cifar10-seed6-ret50-20-best.pth
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  47500
Forget Train Dl:  2500
Retain Valid Dl:  47500
Forget Valid Dl:  2500
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 2500 samples
Set1 Distribution: 2500 samples
Set2 Distribution: 2500 samples
MIA Attack Accuracy with XGBoost: 0.7370
Set1 Distribution: 2500 samples
Set2 Distribution: 2500 samples
MIA Attack Accuracy with XGBoost: 0.5110
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
MIA Attack Accuracy with XGBoost: 0.6502
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
MIA Attack Accuracy with XGBoost: 0.5102
Test Accuracy: 91.552734375
Retain Accuracy: 93.9926528930664
Zero-Retain Forget (ZRF): 0.8189542293548584
Membership Inference Attack (MIA): 0.6916
Forget vs Retain Membership Inference Attack (MIA): 0.737
Forget vs Test Membership Inference Attack (MIA): 0.511
Test vs Retain Membership Inference Attack (MIA): 0.65025
Train vs Test Membership Inference Attack (MIA): 0.51025
Forget Set Accuracy (Df): 94.60060119628906
Method Execution Time: 2498.54 seconds
