hello
hello

📌 Retain class distribution for seed 8:
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 8:
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: 2.4460	LR: 0.000000
Training Epoch: 1 [512/47500]	Loss: 2.4318	LR: 0.000538
Training Epoch: 1 [768/47500]	Loss: 2.4295	LR: 0.001075
Training Epoch: 1 [1024/47500]	Loss: 2.3579	LR: 0.001613
Training Epoch: 1 [1280/47500]	Loss: 2.3354	LR: 0.002151
Training Epoch: 1 [1536/47500]	Loss: 2.2873	LR: 0.002688
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Training Epoch: 1 [2048/47500]	Loss: 2.1989	LR: 0.003763
Training Epoch: 1 [2304/47500]	Loss: 2.3316	LR: 0.004301
Training Epoch: 1 [2560/47500]	Loss: 2.2156	LR: 0.004839
Training Epoch: 1 [2816/47500]	Loss: 2.2598	LR: 0.005376
Training Epoch: 1 [3072/47500]	Loss: 2.2663	LR: 0.005914
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Training Epoch: 1 [9472/47500]	Loss: 1.7871	LR: 0.019355
Training Epoch: 1 [9728/47500]	Loss: 1.8700	LR: 0.019892
Training Epoch: 1 [9984/47500]	Loss: 1.7411	LR: 0.020430
Training Epoch: 1 [10240/47500]	Loss: 1.7026	LR: 0.020968
Training Epoch: 1 [10496/47500]	Loss: 1.7883	LR: 0.021505
Training Epoch: 1 [10752/47500]	Loss: 1.7514	LR: 0.022043
Training Epoch: 1 [11008/47500]	Loss: 1.7291	LR: 0.022581
Training Epoch: 1 [11264/47500]	Loss: 1.8409	LR: 0.023118
Training Epoch: 1 [11520/47500]	Loss: 1.9676	LR: 0.023656
Training Epoch: 1 [11776/47500]	Loss: 1.6677	LR: 0.024194
Training Epoch: 1 [12032/47500]	Loss: 1.7551	LR: 0.024731
Training Epoch: 1 [12288/47500]	Loss: 1.7195	LR: 0.025269
Training Epoch: 1 [12544/47500]	Loss: 1.7785	LR: 0.025806
Training Epoch: 1 [12800/47500]	Loss: 1.7801	LR: 0.026344
Training Epoch: 1 [13056/47500]	Loss: 1.7640	LR: 0.026882
Training Epoch: 1 [13312/47500]	Loss: 1.8340	LR: 0.027419
Training Epoch: 1 [13568/47500]	Loss: 1.8067	LR: 0.027957
Training Epoch: 1 [13824/47500]	Loss: 1.8524	LR: 0.028495
Training Epoch: 1 [14080/47500]	Loss: 1.8332	LR: 0.029032
Training Epoch: 1 [14336/47500]	Loss: 1.6525	LR: 0.029570
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Training Epoch: 1 [15616/47500]	Loss: 1.7871	LR: 0.032258
Training Epoch: 1 [15872/47500]	Loss: 1.6876	LR: 0.032796
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Training Epoch: 1 [16384/47500]	Loss: 1.7982	LR: 0.033871
Training Epoch: 1 [16640/47500]	Loss: 1.6851	LR: 0.034409
Training Epoch: 1 [16896/47500]	Loss: 1.6968	LR: 0.034946
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Training Epoch: 1 [19200/47500]	Loss: 1.6748	LR: 0.039785
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Training Epoch: 1 [20480/47500]	Loss: 1.6115	LR: 0.042473
Training Epoch: 1 [20736/47500]	Loss: 1.6632	LR: 0.043011
Training Epoch: 1 [20992/47500]	Loss: 1.7299	LR: 0.043548
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Training Epoch: 1 [22016/47500]	Loss: 1.8191	LR: 0.045699
Training Epoch: 1 [22272/47500]	Loss: 1.5756	LR: 0.046237
Training Epoch: 1 [22528/47500]	Loss: 1.6923	LR: 0.046774
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Training Epoch: 1 [23552/47500]	Loss: 1.5868	LR: 0.048925
Training Epoch: 1 [23808/47500]	Loss: 2.0321	LR: 0.049462
Training Epoch: 1 [24064/47500]	Loss: 1.6524	LR: 0.050000
Training Epoch: 1 [24320/47500]	Loss: 1.7155	LR: 0.050538
Training Epoch: 1 [24576/47500]	Loss: 1.6140	LR: 0.051075
Training Epoch: 1 [24832/47500]	Loss: 1.6870	LR: 0.051613
Training Epoch: 1 [25088/47500]	Loss: 1.6580	LR: 0.052151
Training Epoch: 1 [25344/47500]	Loss: 1.7679	LR: 0.052688
Training Epoch: 1 [25600/47500]	Loss: 1.6390	LR: 0.053226
Training Epoch: 1 [25856/47500]	Loss: 1.5691	LR: 0.053763
Training Epoch: 1 [26112/47500]	Loss: 1.6771	LR: 0.054301
Training Epoch: 1 [26368/47500]	Loss: 1.6954	LR: 0.054839
Training Epoch: 1 [26624/47500]	Loss: 1.6049	LR: 0.055376
Training Epoch: 1 [26880/47500]	Loss: 1.7177	LR: 0.055914
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Training Epoch: 1 [27392/47500]	Loss: 1.4582	LR: 0.056989
Training Epoch: 1 [27648/47500]	Loss: 1.3928	LR: 0.057527
Training Epoch: 1 [27904/47500]	Loss: 1.6221	LR: 0.058065
Training Epoch: 1 [28160/47500]	Loss: 1.6184	LR: 0.058602
Training Epoch: 1 [28416/47500]	Loss: 1.6176	LR: 0.059140
Training Epoch: 1 [28672/47500]	Loss: 1.5797	LR: 0.059677
Training Epoch: 1 [28928/47500]	Loss: 1.6280	LR: 0.060215
Training Epoch: 1 [29184/47500]	Loss: 1.6397	LR: 0.060753
Training Epoch: 1 [29440/47500]	Loss: 1.5931	LR: 0.061290
Training Epoch: 1 [29696/47500]	Loss: 1.5869	LR: 0.061828
Training Epoch: 1 [29952/47500]	Loss: 1.5912	LR: 0.062366
Training Epoch: 1 [30208/47500]	Loss: 1.5677	LR: 0.062903
Training Epoch: 1 [30464/47500]	Loss: 1.6709	LR: 0.063441
Training Epoch: 1 [30720/47500]	Loss: 1.5585	LR: 0.063978
Training Epoch: 1 [30976/47500]	Loss: 1.6559	LR: 0.064516
Training Epoch: 1 [31232/47500]	Loss: 1.5313	LR: 0.065054
Training Epoch: 1 [31488/47500]	Loss: 1.4780	LR: 0.065591
Training Epoch: 1 [31744/47500]	Loss: 1.7087	LR: 0.066129
Training Epoch: 1 [32000/47500]	Loss: 1.5230	LR: 0.066667
Training Epoch: 1 [32256/47500]	Loss: 1.6192	LR: 0.067204
Training Epoch: 1 [32512/47500]	Loss: 1.5284	LR: 0.067742
Training Epoch: 1 [32768/47500]	Loss: 1.6205	LR: 0.068280
Training Epoch: 1 [33024/47500]	Loss: 1.6474	LR: 0.068817
Training Epoch: 1 [33280/47500]	Loss: 1.6425	LR: 0.069355
Training Epoch: 1 [33536/47500]	Loss: 1.5977	LR: 0.069892
Training Epoch: 1 [33792/47500]	Loss: 1.6567	LR: 0.070430
Training Epoch: 1 [34048/47500]	Loss: 1.7482	LR: 0.070968
Training Epoch: 1 [34304/47500]	Loss: 1.7621	LR: 0.071505
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Training Epoch: 1 [34816/47500]	Loss: 1.6997	LR: 0.072581
Training Epoch: 1 [35072/47500]	Loss: 1.6065	LR: 0.073118
Training Epoch: 1 [35328/47500]	Loss: 1.4321	LR: 0.073656
Training Epoch: 1 [35584/47500]	Loss: 1.5563	LR: 0.074194
Training Epoch: 1 [35840/47500]	Loss: 1.6899	LR: 0.074731
Training Epoch: 1 [36096/47500]	Loss: 1.6397	LR: 0.075269
Training Epoch: 1 [36352/47500]	Loss: 1.6713	LR: 0.075806
Training Epoch: 1 [36608/47500]	Loss: 1.5999	LR: 0.076344
Training Epoch: 1 [36864/47500]	Loss: 1.5027	LR: 0.076882
Training Epoch: 1 [37120/47500]	Loss: 1.7758	LR: 0.077419
Training Epoch: 1 [37376/47500]	Loss: 1.5603	LR: 0.077957
Training Epoch: 1 [37632/47500]	Loss: 1.5647	LR: 0.078495
Training Epoch: 1 [37888/47500]	Loss: 1.4527	LR: 0.079032
Training Epoch: 1 [38144/47500]	Loss: 1.5488	LR: 0.079570
Training Epoch: 1 [38400/47500]	Loss: 1.4862	LR: 0.080108
Training Epoch: 1 [38656/47500]	Loss: 1.4454	LR: 0.080645
Training Epoch: 1 [38912/47500]	Loss: 1.4966	LR: 0.081183
Training Epoch: 1 [39168/47500]	Loss: 1.6771	LR: 0.081720
Training Epoch: 1 [39424/47500]	Loss: 1.5417	LR: 0.082258
Training Epoch: 1 [39680/47500]	Loss: 1.5684	LR: 0.082796
Training Epoch: 1 [39936/47500]	Loss: 1.5145	LR: 0.083333
Training Epoch: 1 [40192/47500]	Loss: 1.5530	LR: 0.083871
Training Epoch: 1 [40448/47500]	Loss: 1.7658	LR: 0.084409
Training Epoch: 1 [40704/47500]	Loss: 1.5866	LR: 0.084946
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Training Epoch: 1 [41216/47500]	Loss: 1.5393	LR: 0.086022
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Training Epoch: 1 [41728/47500]	Loss: 1.5336	LR: 0.087097
Training Epoch: 1 [41984/47500]	Loss: 1.6653	LR: 0.087634
Training Epoch: 1 [42240/47500]	Loss: 1.6296	LR: 0.088172
Training Epoch: 1 [42496/47500]	Loss: 1.7149	LR: 0.088710
Training Epoch: 1 [42752/47500]	Loss: 1.5618	LR: 0.089247
Training Epoch: 1 [43008/47500]	Loss: 1.4153	LR: 0.089785
Training Epoch: 1 [43264/47500]	Loss: 1.6531	LR: 0.090323
Training Epoch: 1 [43520/47500]	Loss: 1.5067	LR: 0.090860
Training Epoch: 1 [43776/47500]	Loss: 1.4931	LR: 0.091398
Training Epoch: 1 [44032/47500]	Loss: 1.3172	LR: 0.091935
Training Epoch: 1 [44288/47500]	Loss: 1.5982	LR: 0.092473
Training Epoch: 1 [44544/47500]	Loss: 1.4844	LR: 0.093011
Training Epoch: 1 [44800/47500]	Loss: 1.6242	LR: 0.093548
Training Epoch: 1 [45056/47500]	Loss: 1.4300	LR: 0.094086
Training Epoch: 1 [45312/47500]	Loss: 1.3939	LR: 0.094624
Training Epoch: 1 [45568/47500]	Loss: 1.4230	LR: 0.095161
Training Epoch: 1 [45824/47500]	Loss: 1.5461	LR: 0.095699
Training Epoch: 1 [46080/47500]	Loss: 1.4530	LR: 0.096237
Training Epoch: 1 [46336/47500]	Loss: 1.5143	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 1.3554	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 1.4418	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 1.3441	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 1.5775	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 1.3725	LR: 0.099462
Epoch 1 - Average Train Loss: 1.7240, Train Accuracy: 0.3721
Epoch 1 training time consumed: 29.49s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0072, Accuracy: 0.4419, Time consumed:1.08s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_12h_19m_04s/ResNet18-Cifar10-seed8-ret50-1-best.pth
Training Epoch: 2 [256/47500]	Loss: 1.6063	LR: 0.100000
Training Epoch: 2 [512/47500]	Loss: 1.4336	LR: 0.100000
Training Epoch: 2 [768/47500]	Loss: 1.5255	LR: 0.100000
Training Epoch: 2 [1024/47500]	Loss: 1.5066	LR: 0.100000
Training Epoch: 2 [1280/47500]	Loss: 1.3391	LR: 0.100000
Training Epoch: 2 [1536/47500]	Loss: 1.4234	LR: 0.100000
Training Epoch: 2 [1792/47500]	Loss: 1.4066	LR: 0.100000
Training Epoch: 2 [2048/47500]	Loss: 1.3176	LR: 0.100000
Training Epoch: 2 [2304/47500]	Loss: 1.4496	LR: 0.100000
Training Epoch: 2 [2560/47500]	Loss: 1.4564	LR: 0.100000
Training Epoch: 2 [2816/47500]	Loss: 1.2981	LR: 0.100000
Training Epoch: 2 [3072/47500]	Loss: 1.3985	LR: 0.100000
Training Epoch: 2 [3328/47500]	Loss: 1.5556	LR: 0.100000
Training Epoch: 2 [3584/47500]	Loss: 1.3697	LR: 0.100000
Training Epoch: 2 [3840/47500]	Loss: 1.3178	LR: 0.100000
Training Epoch: 2 [4096/47500]	Loss: 1.2794	LR: 0.100000
Training Epoch: 2 [4352/47500]	Loss: 1.2243	LR: 0.100000
Training Epoch: 2 [4608/47500]	Loss: 1.2824	LR: 0.100000
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Training Epoch: 2 [47500/47500]	Loss: 1.0991	LR: 0.100000
Epoch 2 - Average Train Loss: 1.2256, Train Accuracy: 0.5625
Epoch 2 training time consumed: 28.74s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0050, Accuracy: 0.5843, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_12h_19m_04s/ResNet18-Cifar10-seed8-ret50-2-best.pth
Training Epoch: 3 [256/47500]	Loss: 1.1248	LR: 0.100000
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Training Epoch: 3 [47500/47500]	Loss: 0.8255	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9653, Train Accuracy: 0.6568
Epoch 3 training time consumed: 28.68s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0037, Accuracy: 0.6808, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_12h_19m_04s/ResNet18-Cifar10-seed8-ret50-3-best.pth
Training Epoch: 4 [256/47500]	Loss: 0.8472	LR: 0.100000
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Training Epoch: 4 [1024/47500]	Loss: 0.8009	LR: 0.100000
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Epoch 4 - Average Train Loss: 0.8204, Train Accuracy: 0.7108
Epoch 4 training time consumed: 28.73s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0034, Accuracy: 0.7085, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_12h_19m_04s/ResNet18-Cifar10-seed8-ret50-4-best.pth
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Epoch 5 - Average Train Loss: 0.7218, Train Accuracy: 0.7485
Epoch 5 training time consumed: 28.64s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0028, Accuracy: 0.7657, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_12h_19m_04s/ResNet18-Cifar10-seed8-ret50-5-best.pth
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Epoch 6 - Average Train Loss: 0.6571, Train Accuracy: 0.7717
Epoch 6 training time consumed: 28.73s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0031, Accuracy: 0.7406, Time consumed:0.91s
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Training Epoch: 7 [10240/47500]	Loss: 0.6629	LR: 0.100000
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Training Epoch: 7 [10752/47500]	Loss: 0.6799	LR: 0.100000
Training Epoch: 7 [11008/47500]	Loss: 0.6309	LR: 0.100000
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Training Epoch: 7 [11520/47500]	Loss: 0.5226	LR: 0.100000
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Training Epoch: 7 [12544/47500]	Loss: 0.5694	LR: 0.100000
Training Epoch: 7 [12800/47500]	Loss: 0.6303	LR: 0.100000
Training Epoch: 7 [13056/47500]	Loss: 0.6242	LR: 0.100000
Training Epoch: 7 [13312/47500]	Loss: 0.6988	LR: 0.100000
Training Epoch: 7 [13568/47500]	Loss: 0.5252	LR: 0.100000
Training Epoch: 7 [13824/47500]	Loss: 0.6684	LR: 0.100000
Training Epoch: 7 [14080/47500]	Loss: 0.6371	LR: 0.100000
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Training Epoch: 7 [14592/47500]	Loss: 0.5995	LR: 0.100000
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Training Epoch: 7 [16640/47500]	Loss: 0.5211	LR: 0.100000
Training Epoch: 7 [16896/47500]	Loss: 0.6016	LR: 0.100000
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Training Epoch: 7 [17664/47500]	Loss: 0.6329	LR: 0.100000
Training Epoch: 7 [17920/47500]	Loss: 0.6163	LR: 0.100000
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Training Epoch: 7 [18944/47500]	Loss: 0.6351	LR: 0.100000
Training Epoch: 7 [19200/47500]	Loss: 0.6386	LR: 0.100000
Training Epoch: 7 [19456/47500]	Loss: 0.6056	LR: 0.100000
Training Epoch: 7 [19712/47500]	Loss: 0.6725	LR: 0.100000
Training Epoch: 7 [19968/47500]	Loss: 0.7029	LR: 0.100000
Training Epoch: 7 [20224/47500]	Loss: 0.6349	LR: 0.100000
Training Epoch: 7 [20480/47500]	Loss: 0.5776	LR: 0.100000
Training Epoch: 7 [20736/47500]	Loss: 0.6595	LR: 0.100000
Training Epoch: 7 [20992/47500]	Loss: 0.6639	LR: 0.100000
Training Epoch: 7 [21248/47500]	Loss: 0.7445	LR: 0.100000
Training Epoch: 7 [21504/47500]	Loss: 0.5217	LR: 0.100000
Training Epoch: 7 [21760/47500]	Loss: 0.5024	LR: 0.100000
Training Epoch: 7 [22016/47500]	Loss: 0.5857	LR: 0.100000
Training Epoch: 7 [22272/47500]	Loss: 0.6061	LR: 0.100000
Training Epoch: 7 [22528/47500]	Loss: 0.5843	LR: 0.100000
Training Epoch: 7 [22784/47500]	Loss: 0.5440	LR: 0.100000
Training Epoch: 7 [23040/47500]	Loss: 0.5527	LR: 0.100000
Training Epoch: 7 [23296/47500]	Loss: 0.7503	LR: 0.100000
Training Epoch: 7 [23552/47500]	Loss: 0.5256	LR: 0.100000
Training Epoch: 7 [23808/47500]	Loss: 0.5380	LR: 0.100000
Training Epoch: 7 [24064/47500]	Loss: 0.6669	LR: 0.100000
Training Epoch: 7 [24320/47500]	Loss: 0.5564	LR: 0.100000
Training Epoch: 7 [24576/47500]	Loss: 0.7049	LR: 0.100000
Training Epoch: 7 [24832/47500]	Loss: 0.6790	LR: 0.100000
Training Epoch: 7 [25088/47500]	Loss: 0.5994	LR: 0.100000
Training Epoch: 7 [25344/47500]	Loss: 0.5876	LR: 0.100000
Training Epoch: 7 [25600/47500]	Loss: 0.6626	LR: 0.100000
Training Epoch: 7 [25856/47500]	Loss: 0.5928	LR: 0.100000
Training Epoch: 7 [26112/47500]	Loss: 0.5267	LR: 0.100000
Training Epoch: 7 [26368/47500]	Loss: 0.5894	LR: 0.100000
Training Epoch: 7 [26624/47500]	Loss: 0.5625	LR: 0.100000
Training Epoch: 7 [26880/47500]	Loss: 0.6046	LR: 0.100000
Training Epoch: 7 [27136/47500]	Loss: 0.4933	LR: 0.100000
Training Epoch: 7 [27392/47500]	Loss: 0.6462	LR: 0.100000
Training Epoch: 7 [27648/47500]	Loss: 0.5278	LR: 0.100000
Training Epoch: 7 [27904/47500]	Loss: 0.4584	LR: 0.100000
Training Epoch: 7 [28160/47500]	Loss: 0.5148	LR: 0.100000
Training Epoch: 7 [28416/47500]	Loss: 0.5208	LR: 0.100000
Training Epoch: 7 [28672/47500]	Loss: 0.6042	LR: 0.100000
Training Epoch: 7 [28928/47500]	Loss: 0.4820	LR: 0.100000
Training Epoch: 7 [29184/47500]	Loss: 0.5638	LR: 0.100000
Training Epoch: 7 [29440/47500]	Loss: 0.6074	LR: 0.100000
Training Epoch: 7 [29696/47500]	Loss: 0.5715	LR: 0.100000
Training Epoch: 7 [29952/47500]	Loss: 0.6099	LR: 0.100000
Training Epoch: 7 [30208/47500]	Loss: 0.5944	LR: 0.100000
Training Epoch: 7 [30464/47500]	Loss: 0.4813	LR: 0.100000
Training Epoch: 7 [30720/47500]	Loss: 0.4403	LR: 0.100000
Training Epoch: 7 [30976/47500]	Loss: 0.5906	LR: 0.100000
Training Epoch: 7 [31232/47500]	Loss: 0.7441	LR: 0.100000
Training Epoch: 7 [31488/47500]	Loss: 0.5826	LR: 0.100000
Training Epoch: 7 [31744/47500]	Loss: 0.7528	LR: 0.100000
Training Epoch: 7 [32000/47500]	Loss: 0.6512	LR: 0.100000
Training Epoch: 7 [32256/47500]	Loss: 0.5702	LR: 0.100000
Training Epoch: 7 [32512/47500]	Loss: 0.6125	LR: 0.100000
Training Epoch: 7 [32768/47500]	Loss: 0.6519	LR: 0.100000
Training Epoch: 7 [33024/47500]	Loss: 0.6084	LR: 0.100000
Training Epoch: 7 [33280/47500]	Loss: 0.5138	LR: 0.100000
Training Epoch: 7 [33536/47500]	Loss: 0.6390	LR: 0.100000
Training Epoch: 7 [33792/47500]	Loss: 0.5928	LR: 0.100000
Training Epoch: 7 [34048/47500]	Loss: 0.5637	LR: 0.100000
Training Epoch: 7 [34304/47500]	Loss: 0.5618	LR: 0.100000
Training Epoch: 7 [34560/47500]	Loss: 0.6808	LR: 0.100000
Training Epoch: 7 [34816/47500]	Loss: 0.5671	LR: 0.100000
Training Epoch: 7 [35072/47500]	Loss: 0.6842	LR: 0.100000
Training Epoch: 7 [35328/47500]	Loss: 0.6356	LR: 0.100000
Training Epoch: 7 [35584/47500]	Loss: 0.5961	LR: 0.100000
Training Epoch: 7 [35840/47500]	Loss: 0.6129	LR: 0.100000
Training Epoch: 7 [36096/47500]	Loss: 0.6167	LR: 0.100000
Training Epoch: 7 [36352/47500]	Loss: 0.6308	LR: 0.100000
Training Epoch: 7 [36608/47500]	Loss: 0.6580	LR: 0.100000
Training Epoch: 7 [36864/47500]	Loss: 0.4391	LR: 0.100000
Training Epoch: 7 [37120/47500]	Loss: 0.4886	LR: 0.100000
Training Epoch: 7 [37376/47500]	Loss: 0.6002	LR: 0.100000
Training Epoch: 7 [37632/47500]	Loss: 0.5693	LR: 0.100000
Training Epoch: 7 [37888/47500]	Loss: 0.5638	LR: 0.100000
Training Epoch: 7 [38144/47500]	Loss: 0.5511	LR: 0.100000
Training Epoch: 7 [38400/47500]	Loss: 0.5846	LR: 0.100000
Training Epoch: 7 [38656/47500]	Loss: 0.6142	LR: 0.100000
Training Epoch: 7 [38912/47500]	Loss: 0.5842	LR: 0.100000
Training Epoch: 7 [39168/47500]	Loss: 0.5685	LR: 0.100000
Training Epoch: 7 [39424/47500]	Loss: 0.4917	LR: 0.100000
Training Epoch: 7 [39680/47500]	Loss: 0.5256	LR: 0.100000
Training Epoch: 7 [39936/47500]	Loss: 0.6597	LR: 0.100000
Training Epoch: 7 [40192/47500]	Loss: 0.5811	LR: 0.100000
Training Epoch: 7 [40448/47500]	Loss: 0.6523	LR: 0.100000
Training Epoch: 7 [40704/47500]	Loss: 0.6243	LR: 0.100000
Training Epoch: 7 [40960/47500]	Loss: 0.6100	LR: 0.100000
Training Epoch: 7 [41216/47500]	Loss: 0.5582	LR: 0.100000
Training Epoch: 7 [41472/47500]	Loss: 0.5106	LR: 0.100000
Training Epoch: 7 [41728/47500]	Loss: 0.6149	LR: 0.100000
Training Epoch: 7 [41984/47500]	Loss: 0.4991	LR: 0.100000
Training Epoch: 7 [42240/47500]	Loss: 0.5786	LR: 0.100000
Training Epoch: 7 [42496/47500]	Loss: 0.5376	LR: 0.100000
Training Epoch: 7 [42752/47500]	Loss: 0.5752	LR: 0.100000
Training Epoch: 7 [43008/47500]	Loss: 0.6133	LR: 0.100000
Training Epoch: 7 [43264/47500]	Loss: 0.5145	LR: 0.100000
Training Epoch: 7 [43520/47500]	Loss: 0.5701	LR: 0.100000
Training Epoch: 7 [43776/47500]	Loss: 0.6018	LR: 0.100000
Training Epoch: 7 [44032/47500]	Loss: 0.5565	LR: 0.100000
Training Epoch: 7 [44288/47500]	Loss: 0.5497	LR: 0.100000
Training Epoch: 7 [44544/47500]	Loss: 0.5455	LR: 0.100000
Training Epoch: 7 [44800/47500]	Loss: 0.5040	LR: 0.100000
Training Epoch: 7 [45056/47500]	Loss: 0.5645	LR: 0.100000
Training Epoch: 7 [45312/47500]	Loss: 0.5179	LR: 0.100000
Training Epoch: 7 [45568/47500]	Loss: 0.5646	LR: 0.100000
Training Epoch: 7 [45824/47500]	Loss: 0.6721	LR: 0.100000
Training Epoch: 7 [46080/47500]	Loss: 0.6005	LR: 0.100000
Training Epoch: 7 [46336/47500]	Loss: 0.5756	LR: 0.100000
Training Epoch: 7 [46592/47500]	Loss: 0.5439	LR: 0.100000
Training Epoch: 7 [46848/47500]	Loss: 0.5911	LR: 0.100000
Training Epoch: 7 [47104/47500]	Loss: 0.5940	LR: 0.100000
Training Epoch: 7 [47360/47500]	Loss: 0.5481	LR: 0.100000
Training Epoch: 7 [47500/47500]	Loss: 0.4479	LR: 0.100000
Epoch 7 - Average Train Loss: 0.6001, Train Accuracy: 0.7895
Epoch 7 training time consumed: 28.61s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0033, Accuracy: 0.7458, Time consumed:0.96s
Training Epoch: 8 [256/47500]	Loss: 0.4258	LR: 0.020000
Training Epoch: 8 [512/47500]	Loss: 0.5715	LR: 0.020000
Training Epoch: 8 [768/47500]	Loss: 0.7061	LR: 0.020000
Training Epoch: 8 [1024/47500]	Loss: 0.5643	LR: 0.020000
Training Epoch: 8 [1280/47500]	Loss: 0.4466	LR: 0.020000
Training Epoch: 8 [1536/47500]	Loss: 0.5077	LR: 0.020000
Training Epoch: 8 [1792/47500]	Loss: 0.5621	LR: 0.020000
Training Epoch: 8 [2048/47500]	Loss: 0.5073	LR: 0.020000
Training Epoch: 8 [2304/47500]	Loss: 0.6066	LR: 0.020000
Training Epoch: 8 [2560/47500]	Loss: 0.4288	LR: 0.020000
Training Epoch: 8 [2816/47500]	Loss: 0.5606	LR: 0.020000
Training Epoch: 8 [3072/47500]	Loss: 0.4592	LR: 0.020000
Training Epoch: 8 [3328/47500]	Loss: 0.5092	LR: 0.020000
Training Epoch: 8 [3584/47500]	Loss: 0.5749	LR: 0.020000
Training Epoch: 8 [3840/47500]	Loss: 0.4725	LR: 0.020000
Training Epoch: 8 [4096/47500]	Loss: 0.6053	LR: 0.020000
Training Epoch: 8 [4352/47500]	Loss: 0.3443	LR: 0.020000
Training Epoch: 8 [4608/47500]	Loss: 0.4677	LR: 0.020000
Training Epoch: 8 [4864/47500]	Loss: 0.5021	LR: 0.020000
Training Epoch: 8 [5120/47500]	Loss: 0.4870	LR: 0.020000
Training Epoch: 8 [5376/47500]	Loss: 0.4399	LR: 0.020000
Training Epoch: 8 [5632/47500]	Loss: 0.5280	LR: 0.020000
Training Epoch: 8 [5888/47500]	Loss: 0.4695	LR: 0.020000
Training Epoch: 8 [6144/47500]	Loss: 0.4160	LR: 0.020000
Training Epoch: 8 [6400/47500]	Loss: 0.4540	LR: 0.020000
Training Epoch: 8 [6656/47500]	Loss: 0.4364	LR: 0.020000
Training Epoch: 8 [6912/47500]	Loss: 0.4798	LR: 0.020000
Training Epoch: 8 [7168/47500]	Loss: 0.4571	LR: 0.020000
Training Epoch: 8 [7424/47500]	Loss: 0.6219	LR: 0.020000
Training Epoch: 8 [7680/47500]	Loss: 0.4361	LR: 0.020000
Training Epoch: 8 [7936/47500]	Loss: 0.3795	LR: 0.020000
Training Epoch: 8 [8192/47500]	Loss: 0.4532	LR: 0.020000
Training Epoch: 8 [8448/47500]	Loss: 0.4460	LR: 0.020000
Training Epoch: 8 [8704/47500]	Loss: 0.4291	LR: 0.020000
Training Epoch: 8 [8960/47500]	Loss: 0.4482	LR: 0.020000
Training Epoch: 8 [9216/47500]	Loss: 0.4500	LR: 0.020000
Training Epoch: 8 [9472/47500]	Loss: 0.4576	LR: 0.020000
Training Epoch: 8 [9728/47500]	Loss: 0.4443	LR: 0.020000
Training Epoch: 8 [9984/47500]	Loss: 0.5348	LR: 0.020000
Training Epoch: 8 [10240/47500]	Loss: 0.4855	LR: 0.020000
Training Epoch: 8 [10496/47500]	Loss: 0.5460	LR: 0.020000
Training Epoch: 8 [10752/47500]	Loss: 0.4470	LR: 0.020000
Training Epoch: 8 [11008/47500]	Loss: 0.4560	LR: 0.020000
Training Epoch: 8 [11264/47500]	Loss: 0.5866	LR: 0.020000
Training Epoch: 8 [11520/47500]	Loss: 0.4392	LR: 0.020000
Training Epoch: 8 [11776/47500]	Loss: 0.4795	LR: 0.020000
Training Epoch: 8 [12032/47500]	Loss: 0.3923	LR: 0.020000
Training Epoch: 8 [12288/47500]	Loss: 0.4363	LR: 0.020000
Training Epoch: 8 [12544/47500]	Loss: 0.4291	LR: 0.020000
Training Epoch: 8 [12800/47500]	Loss: 0.5374	LR: 0.020000
Training Epoch: 8 [13056/47500]	Loss: 0.4222	LR: 0.020000
Training Epoch: 8 [13312/47500]	Loss: 0.5324	LR: 0.020000
Training Epoch: 8 [13568/47500]	Loss: 0.3344	LR: 0.020000
Training Epoch: 8 [13824/47500]	Loss: 0.4566	LR: 0.020000
Training Epoch: 8 [14080/47500]	Loss: 0.4505	LR: 0.020000
Training Epoch: 8 [14336/47500]	Loss: 0.3673	LR: 0.020000
Training Epoch: 8 [14592/47500]	Loss: 0.3706	LR: 0.020000
Training Epoch: 8 [14848/47500]	Loss: 0.4578	LR: 0.020000
Training Epoch: 8 [15104/47500]	Loss: 0.3555	LR: 0.020000
Training Epoch: 8 [15360/47500]	Loss: 0.4008	LR: 0.020000
Training Epoch: 8 [15616/47500]	Loss: 0.4061	LR: 0.020000
Training Epoch: 8 [15872/47500]	Loss: 0.5329	LR: 0.020000
Training Epoch: 8 [16128/47500]	Loss: 0.5038	LR: 0.020000
Training Epoch: 8 [16384/47500]	Loss: 0.4916	LR: 0.020000
Training Epoch: 8 [16640/47500]	Loss: 0.4364	LR: 0.020000
Training Epoch: 8 [16896/47500]	Loss: 0.4006	LR: 0.020000
Training Epoch: 8 [17152/47500]	Loss: 0.5048	LR: 0.020000
Training Epoch: 8 [17408/47500]	Loss: 0.5406	LR: 0.020000
Training Epoch: 8 [17664/47500]	Loss: 0.3956	LR: 0.020000
Training Epoch: 8 [17920/47500]	Loss: 0.3811	LR: 0.020000
Training Epoch: 8 [18176/47500]	Loss: 0.4140	LR: 0.020000
Training Epoch: 8 [18432/47500]	Loss: 0.4046	LR: 0.020000
Training Epoch: 8 [18688/47500]	Loss: 0.4594	LR: 0.020000
Training Epoch: 8 [18944/47500]	Loss: 0.4390	LR: 0.020000
Training Epoch: 8 [19200/47500]	Loss: 0.4459	LR: 0.020000
Training Epoch: 8 [19456/47500]	Loss: 0.5212	LR: 0.020000
Training Epoch: 8 [19712/47500]	Loss: 0.4246	LR: 0.020000
Training Epoch: 8 [19968/47500]	Loss: 0.4604	LR: 0.020000
Training Epoch: 8 [20224/47500]	Loss: 0.4248	LR: 0.020000
Training Epoch: 8 [20480/47500]	Loss: 0.4913	LR: 0.020000
Training Epoch: 8 [20736/47500]	Loss: 0.4431	LR: 0.020000
Training Epoch: 8 [20992/47500]	Loss: 0.4624	LR: 0.020000
Training Epoch: 8 [21248/47500]	Loss: 0.4529	LR: 0.020000
Training Epoch: 8 [21504/47500]	Loss: 0.3309	LR: 0.020000
Training Epoch: 8 [21760/47500]	Loss: 0.4778	LR: 0.020000
Training Epoch: 8 [22016/47500]	Loss: 0.4472	LR: 0.020000
Training Epoch: 8 [22272/47500]	Loss: 0.4489	LR: 0.020000
Training Epoch: 8 [22528/47500]	Loss: 0.3824	LR: 0.020000
Training Epoch: 8 [22784/47500]	Loss: 0.4027	LR: 0.020000
Training Epoch: 8 [23040/47500]	Loss: 0.3837	LR: 0.020000
Training Epoch: 8 [23296/47500]	Loss: 0.4387	LR: 0.020000
Training Epoch: 8 [23552/47500]	Loss: 0.3666	LR: 0.020000
Training Epoch: 8 [23808/47500]	Loss: 0.4142	LR: 0.020000
Training Epoch: 8 [24064/47500]	Loss: 0.4891	LR: 0.020000
Training Epoch: 8 [24320/47500]	Loss: 0.4672	LR: 0.020000
Training Epoch: 8 [24576/47500]	Loss: 0.4843	LR: 0.020000
Training Epoch: 8 [24832/47500]	Loss: 0.4641	LR: 0.020000
Training Epoch: 8 [25088/47500]	Loss: 0.4386	LR: 0.020000
Training Epoch: 8 [25344/47500]	Loss: 0.4203	LR: 0.020000
Training Epoch: 8 [25600/47500]	Loss: 0.4320	LR: 0.020000
Training Epoch: 8 [25856/47500]	Loss: 0.5108	LR: 0.020000
Training Epoch: 8 [26112/47500]	Loss: 0.5005	LR: 0.020000
Training Epoch: 8 [26368/47500]	Loss: 0.3589	LR: 0.020000
Training Epoch: 8 [26624/47500]	Loss: 0.4676	LR: 0.020000
Training Epoch: 8 [26880/47500]	Loss: 0.4982	LR: 0.020000
Training Epoch: 8 [27136/47500]	Loss: 0.4580	LR: 0.020000
Training Epoch: 8 [27392/47500]	Loss: 0.5091	LR: 0.020000
Training Epoch: 8 [27648/47500]	Loss: 0.4996	LR: 0.020000
Training Epoch: 8 [27904/47500]	Loss: 0.3467	LR: 0.020000
Training Epoch: 8 [28160/47500]	Loss: 0.4400	LR: 0.020000
Training Epoch: 8 [28416/47500]	Loss: 0.4407	LR: 0.020000
Training Epoch: 8 [28672/47500]	Loss: 0.3975	LR: 0.020000
Training Epoch: 8 [28928/47500]	Loss: 0.4693	LR: 0.020000
Training Epoch: 8 [29184/47500]	Loss: 0.3573	LR: 0.020000
Training Epoch: 8 [29440/47500]	Loss: 0.3246	LR: 0.020000
Training Epoch: 8 [29696/47500]	Loss: 0.4531	LR: 0.020000
Training Epoch: 8 [29952/47500]	Loss: 0.4030	LR: 0.020000
Training Epoch: 8 [30208/47500]	Loss: 0.4138	LR: 0.020000
Training Epoch: 8 [30464/47500]	Loss: 0.4272	LR: 0.020000
Training Epoch: 8 [30720/47500]	Loss: 0.4408	LR: 0.020000
Training Epoch: 8 [30976/47500]	Loss: 0.4193	LR: 0.020000
Training Epoch: 8 [31232/47500]	Loss: 0.4498	LR: 0.020000
Training Epoch: 8 [31488/47500]	Loss: 0.4448	LR: 0.020000
Training Epoch: 8 [31744/47500]	Loss: 0.4018	LR: 0.020000
Training Epoch: 8 [32000/47500]	Loss: 0.3998	LR: 0.020000
Training Epoch: 8 [32256/47500]	Loss: 0.3746	LR: 0.020000
Training Epoch: 8 [32512/47500]	Loss: 0.4114	LR: 0.020000
Training Epoch: 8 [32768/47500]	Loss: 0.4352	LR: 0.020000
Training Epoch: 8 [33024/47500]	Loss: 0.4638	LR: 0.020000
Training Epoch: 8 [33280/47500]	Loss: 0.4423	LR: 0.020000
Training Epoch: 8 [33536/47500]	Loss: 0.4410	LR: 0.020000
Training Epoch: 8 [33792/47500]	Loss: 0.3995	LR: 0.020000
Training Epoch: 8 [34048/47500]	Loss: 0.4331	LR: 0.020000
Training Epoch: 8 [34304/47500]	Loss: 0.4165	LR: 0.020000
Training Epoch: 8 [34560/47500]	Loss: 0.5631	LR: 0.020000
Training Epoch: 8 [34816/47500]	Loss: 0.3596	LR: 0.020000
Training Epoch: 8 [35072/47500]	Loss: 0.4196	LR: 0.020000
Training Epoch: 8 [35328/47500]	Loss: 0.3981	LR: 0.020000
Training Epoch: 8 [35584/47500]	Loss: 0.4360	LR: 0.020000
Training Epoch: 8 [35840/47500]	Loss: 0.3986	LR: 0.020000
Training Epoch: 8 [36096/47500]	Loss: 0.4967	LR: 0.020000
Training Epoch: 8 [36352/47500]	Loss: 0.5241	LR: 0.020000
Training Epoch: 8 [36608/47500]	Loss: 0.4827	LR: 0.020000
Training Epoch: 8 [36864/47500]	Loss: 0.4752	LR: 0.020000
Training Epoch: 8 [37120/47500]	Loss: 0.5103	LR: 0.020000
Training Epoch: 8 [37376/47500]	Loss: 0.4400	LR: 0.020000
Training Epoch: 8 [37632/47500]	Loss: 0.5067	LR: 0.020000
Training Epoch: 8 [37888/47500]	Loss: 0.4598	LR: 0.020000
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Training Epoch: 8 [47500/47500]	Loss: 0.4527	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4470, Train Accuracy: 0.8445
Epoch 8 training time consumed: 28.67s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0017, Accuracy: 0.8573, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_12h_19m_04s/ResNet18-Cifar10-seed8-ret50-8-best.pth
Training Epoch: 9 [256/47500]	Loss: 0.3531	LR: 0.020000
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Training Epoch: 9 [47500/47500]	Loss: 0.3176	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4010, Train Accuracy: 0.8593
Epoch 9 training time consumed: 29.16s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0017, Accuracy: 0.8602, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_12h_19m_04s/ResNet18-Cifar10-seed8-ret50-9-best.pth
Training Epoch: 10 [256/47500]	Loss: 0.3673	LR: 0.020000
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Training Epoch: 10 [47500/47500]	Loss: 0.3824	LR: 0.020000
Epoch 10 - Average Train Loss: 0.3823, Train Accuracy: 0.8668
Epoch 10 training time consumed: 29.28s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0016, Accuracy: 0.8649, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_12h_19m_04s/ResNet18-Cifar10-seed8-ret50-10-best.pth
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Training Epoch: 11 [47360/47500]	Loss: 0.3799	LR: 0.020000
Training Epoch: 11 [47500/47500]	Loss: 0.4793	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3678, Train Accuracy: 0.8703
Epoch 11 training time consumed: 28.95s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0016, Accuracy: 0.8662, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_12h_19m_04s/ResNet18-Cifar10-seed8-ret50-11-best.pth
Training Epoch: 12 [256/47500]	Loss: 0.3725	LR: 0.004000
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Training Epoch: 12 [47360/47500]	Loss: 0.3932	LR: 0.004000
Training Epoch: 12 [47500/47500]	Loss: 0.2762	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3180, Train Accuracy: 0.8904
Epoch 12 training time consumed: 29.10s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0014, Accuracy: 0.8839, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_12h_19m_04s/ResNet18-Cifar10-seed8-ret50-12-best.pth
Training Epoch: 13 [256/47500]	Loss: 0.2318	LR: 0.004000
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Training Epoch: 13 [47500/47500]	Loss: 0.3280	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3014, Train Accuracy: 0.8960
Epoch 13 training time consumed: 29.35s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0013, Accuracy: 0.8860, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_12h_19m_04s/ResNet18-Cifar10-seed8-ret50-13-best.pth
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Training Epoch: 14 [47360/47500]	Loss: 0.2796	LR: 0.004000
Training Epoch: 14 [47500/47500]	Loss: 0.4240	LR: 0.004000
Epoch 14 - Average Train Loss: 0.2929, Train Accuracy: 0.8985
Epoch 14 training time consumed: 29.06s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0013, Accuracy: 0.8867, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_12h_19m_04s/ResNet18-Cifar10-seed8-ret50-14-best.pth
Training Epoch: 15 [256/47500]	Loss: 0.1837	LR: 0.004000
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Training Epoch: 15 [47500/47500]	Loss: 0.2846	LR: 0.004000
Epoch 15 - Average Train Loss: 0.2859, Train Accuracy: 0.9005
Epoch 15 training time consumed: 29.02s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0013, Accuracy: 0.8882, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_12h_19m_04s/ResNet18-Cifar10-seed8-ret50-15-best.pth
Training Epoch: 16 [256/47500]	Loss: 0.2907	LR: 0.000800
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Training Epoch: 16 [47500/47500]	Loss: 0.3524	LR: 0.000800
Epoch 16 - Average Train Loss: 0.2758, Train Accuracy: 0.9036
Epoch 16 training time consumed: 29.13s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0013, Accuracy: 0.8893, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_12h_19m_04s/ResNet18-Cifar10-seed8-ret50-16-best.pth
Training Epoch: 17 [256/47500]	Loss: 0.2788	LR: 0.000800
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Training Epoch: 17 [44544/47500]	Loss: 0.3315	LR: 0.000800
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Training Epoch: 17 [46080/47500]	Loss: 0.3786	LR: 0.000800
Training Epoch: 17 [46336/47500]	Loss: 0.2904	LR: 0.000800
Training Epoch: 17 [46592/47500]	Loss: 0.3005	LR: 0.000800
Training Epoch: 17 [46848/47500]	Loss: 0.2501	LR: 0.000800
Training Epoch: 17 [47104/47500]	Loss: 0.2857	LR: 0.000800
Training Epoch: 17 [47360/47500]	Loss: 0.3332	LR: 0.000800
Training Epoch: 17 [47500/47500]	Loss: 0.2995	LR: 0.000800
Epoch 17 - Average Train Loss: 0.2717, Train Accuracy: 0.9056
Epoch 17 training time consumed: 29.10s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0013, Accuracy: 0.8889, Time consumed:0.97s
Training Epoch: 18 [256/47500]	Loss: 0.3581	LR: 0.000800
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Training Epoch: 18 [45056/47500]	Loss: 0.2403	LR: 0.000800
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Training Epoch: 18 [46336/47500]	Loss: 0.2934	LR: 0.000800
Training Epoch: 18 [46592/47500]	Loss: 0.2972	LR: 0.000800
Training Epoch: 18 [46848/47500]	Loss: 0.2832	LR: 0.000800
Training Epoch: 18 [47104/47500]	Loss: 0.3422	LR: 0.000800
Training Epoch: 18 [47360/47500]	Loss: 0.3050	LR: 0.000800
Training Epoch: 18 [47500/47500]	Loss: 0.2003	LR: 0.000800
Epoch 18 - Average Train Loss: 0.2670, Train Accuracy: 0.9071
Epoch 18 training time consumed: 29.20s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0013, Accuracy: 0.8900, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_12h_19m_04s/ResNet18-Cifar10-seed8-ret50-18-best.pth
Training Epoch: 19 [256/47500]	Loss: 0.1863	LR: 0.000800
Training Epoch: 19 [512/47500]	Loss: 0.2464	LR: 0.000800
Training Epoch: 19 [768/47500]	Loss: 0.2821	LR: 0.000800
Training Epoch: 19 [1024/47500]	Loss: 0.2706	LR: 0.000800
Training Epoch: 19 [1280/47500]	Loss: 0.2058	LR: 0.000800
Training Epoch: 19 [1536/47500]	Loss: 0.2929	LR: 0.000800
Training Epoch: 19 [1792/47500]	Loss: 0.2947	LR: 0.000800
Training Epoch: 19 [2048/47500]	Loss: 0.3073	LR: 0.000800
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Training Epoch: 19 [22016/47500]	Loss: 0.2574	LR: 0.000800
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Training Epoch: 19 [47360/47500]	Loss: 0.2750	LR: 0.000800
Training Epoch: 19 [47500/47500]	Loss: 0.2633	LR: 0.000800
Epoch 19 - Average Train Loss: 0.2674, Train Accuracy: 0.9066
Epoch 19 training time consumed: 29.32s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0013, Accuracy: 0.8912, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_12h_19m_04s/ResNet18-Cifar10-seed8-ret50-19-best.pth
Training Epoch: 20 [256/47500]	Loss: 0.2584	LR: 0.000800
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Training Epoch: 20 [46592/47500]	Loss: 0.2271	LR: 0.000800
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Training Epoch: 20 [47104/47500]	Loss: 0.2113	LR: 0.000800
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Training Epoch: 20 [47500/47500]	Loss: 0.2067	LR: 0.000800
Epoch 20 - Average Train Loss: 0.2634, Train Accuracy: 0.9081
Epoch 20 training time consumed: 29.03s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0013, Accuracy: 0.8905, Time consumed:1.00s
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: 89.16015625
Retain Accuracy: 91.15962982177734
Zero-Retain Forget (ZRF): 0.8343703746795654
Membership Inference Attack (MIA): 0.622
Forget vs Retain Membership Inference Attack (MIA): 0.498
Forget vs Test Membership Inference Attack (MIA): 0.542
Test vs Retain Membership Inference Attack (MIA): 0.4945
Train vs Test Membership Inference Attack (MIA): 0.52125
Forget Set Accuracy (Df): 87.36287689208984
Method Execution Time: 1541.29 seconds
