hello
hello

📌 Retain class distribution for seed 10:
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 10:
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: 2.4164	LR: 0.000000
Training Epoch: 1 [512/47500]	Loss: 2.3780	LR: 0.000538
Training Epoch: 1 [768/47500]	Loss: 2.3925	LR: 0.001075
Training Epoch: 1 [1024/47500]	Loss: 2.3855	LR: 0.001613
Training Epoch: 1 [1280/47500]	Loss: 2.3246	LR: 0.002151
Training Epoch: 1 [1536/47500]	Loss: 2.2662	LR: 0.002688
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Training Epoch: 1 [2048/47500]	Loss: 2.2584	LR: 0.003763
Training Epoch: 1 [2304/47500]	Loss: 2.2652	LR: 0.004301
Training Epoch: 1 [2560/47500]	Loss: 2.3013	LR: 0.004839
Training Epoch: 1 [2816/47500]	Loss: 2.3125	LR: 0.005376
Training Epoch: 1 [3072/47500]	Loss: 2.2055	LR: 0.005914
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Training Epoch: 1 [10240/47500]	Loss: 1.8383	LR: 0.020968
Training Epoch: 1 [10496/47500]	Loss: 1.8397	LR: 0.021505
Training Epoch: 1 [10752/47500]	Loss: 1.7635	LR: 0.022043
Training Epoch: 1 [11008/47500]	Loss: 1.8974	LR: 0.022581
Training Epoch: 1 [11264/47500]	Loss: 1.8130	LR: 0.023118
Training Epoch: 1 [11520/47500]	Loss: 1.7699	LR: 0.023656
Training Epoch: 1 [11776/47500]	Loss: 1.7538	LR: 0.024194
Training Epoch: 1 [12032/47500]	Loss: 1.9166	LR: 0.024731
Training Epoch: 1 [12288/47500]	Loss: 1.8698	LR: 0.025269
Training Epoch: 1 [12544/47500]	Loss: 1.8033	LR: 0.025806
Training Epoch: 1 [12800/47500]	Loss: 1.8238	LR: 0.026344
Training Epoch: 1 [13056/47500]	Loss: 1.7636	LR: 0.026882
Training Epoch: 1 [13312/47500]	Loss: 1.8618	LR: 0.027419
Training Epoch: 1 [13568/47500]	Loss: 1.7473	LR: 0.027957
Training Epoch: 1 [13824/47500]	Loss: 1.6877	LR: 0.028495
Training Epoch: 1 [14080/47500]	Loss: 1.6005	LR: 0.029032
Training Epoch: 1 [14336/47500]	Loss: 1.7324	LR: 0.029570
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Training Epoch: 1 [15872/47500]	Loss: 1.6627	LR: 0.032796
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Training Epoch: 1 [16384/47500]	Loss: 1.5086	LR: 0.033871
Training Epoch: 1 [16640/47500]	Loss: 1.6653	LR: 0.034409
Training Epoch: 1 [16896/47500]	Loss: 1.8904	LR: 0.034946
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Training Epoch: 1 [20480/47500]	Loss: 1.7778	LR: 0.042473
Training Epoch: 1 [20736/47500]	Loss: 1.6201	LR: 0.043011
Training Epoch: 1 [20992/47500]	Loss: 1.6844	LR: 0.043548
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Training Epoch: 1 [22272/47500]	Loss: 1.7060	LR: 0.046237
Training Epoch: 1 [22528/47500]	Loss: 1.5262	LR: 0.046774
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Training Epoch: 1 [23552/47500]	Loss: 1.6595	LR: 0.048925
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Training Epoch: 1 [24064/47500]	Loss: 1.5191	LR: 0.050000
Training Epoch: 1 [24320/47500]	Loss: 1.6072	LR: 0.050538
Training Epoch: 1 [24576/47500]	Loss: 1.6883	LR: 0.051075
Training Epoch: 1 [24832/47500]	Loss: 1.7275	LR: 0.051613
Training Epoch: 1 [25088/47500]	Loss: 1.7676	LR: 0.052151
Training Epoch: 1 [25344/47500]	Loss: 1.6264	LR: 0.052688
Training Epoch: 1 [25600/47500]	Loss: 1.7266	LR: 0.053226
Training Epoch: 1 [25856/47500]	Loss: 1.7294	LR: 0.053763
Training Epoch: 1 [26112/47500]	Loss: 1.6313	LR: 0.054301
Training Epoch: 1 [26368/47500]	Loss: 1.5368	LR: 0.054839
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Training Epoch: 1 [26880/47500]	Loss: 1.5688	LR: 0.055914
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Training Epoch: 1 [27392/47500]	Loss: 1.6999	LR: 0.056989
Training Epoch: 1 [27648/47500]	Loss: 1.5161	LR: 0.057527
Training Epoch: 1 [27904/47500]	Loss: 1.7256	LR: 0.058065
Training Epoch: 1 [28160/47500]	Loss: 1.5108	LR: 0.058602
Training Epoch: 1 [28416/47500]	Loss: 1.6905	LR: 0.059140
Training Epoch: 1 [28672/47500]	Loss: 1.5779	LR: 0.059677
Training Epoch: 1 [28928/47500]	Loss: 1.6006	LR: 0.060215
Training Epoch: 1 [29184/47500]	Loss: 1.7156	LR: 0.060753
Training Epoch: 1 [29440/47500]	Loss: 1.8029	LR: 0.061290
Training Epoch: 1 [29696/47500]	Loss: 1.4597	LR: 0.061828
Training Epoch: 1 [29952/47500]	Loss: 1.8072	LR: 0.062366
Training Epoch: 1 [30208/47500]	Loss: 1.6266	LR: 0.062903
Training Epoch: 1 [30464/47500]	Loss: 1.5797	LR: 0.063441
Training Epoch: 1 [30720/47500]	Loss: 1.7683	LR: 0.063978
Training Epoch: 1 [30976/47500]	Loss: 1.7406	LR: 0.064516
Training Epoch: 1 [31232/47500]	Loss: 1.6467	LR: 0.065054
Training Epoch: 1 [31488/47500]	Loss: 1.5771	LR: 0.065591
Training Epoch: 1 [31744/47500]	Loss: 1.6101	LR: 0.066129
Training Epoch: 1 [32000/47500]	Loss: 1.7008	LR: 0.066667
Training Epoch: 1 [32256/47500]	Loss: 1.5725	LR: 0.067204
Training Epoch: 1 [32512/47500]	Loss: 1.5783	LR: 0.067742
Training Epoch: 1 [32768/47500]	Loss: 1.6782	LR: 0.068280
Training Epoch: 1 [33024/47500]	Loss: 1.5345	LR: 0.068817
Training Epoch: 1 [33280/47500]	Loss: 1.5413	LR: 0.069355
Training Epoch: 1 [33536/47500]	Loss: 1.5169	LR: 0.069892
Training Epoch: 1 [33792/47500]	Loss: 1.6820	LR: 0.070430
Training Epoch: 1 [34048/47500]	Loss: 1.6599	LR: 0.070968
Training Epoch: 1 [34304/47500]	Loss: 1.7809	LR: 0.071505
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Training Epoch: 1 [35072/47500]	Loss: 1.5065	LR: 0.073118
Training Epoch: 1 [35328/47500]	Loss: 1.4994	LR: 0.073656
Training Epoch: 1 [35584/47500]	Loss: 1.5191	LR: 0.074194
Training Epoch: 1 [35840/47500]	Loss: 1.4998	LR: 0.074731
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Training Epoch: 1 [36352/47500]	Loss: 1.3714	LR: 0.075806
Training Epoch: 1 [36608/47500]	Loss: 1.5170	LR: 0.076344
Training Epoch: 1 [36864/47500]	Loss: 1.4363	LR: 0.076882
Training Epoch: 1 [37120/47500]	Loss: 1.4795	LR: 0.077419
Training Epoch: 1 [37376/47500]	Loss: 1.5957	LR: 0.077957
Training Epoch: 1 [37632/47500]	Loss: 1.5138	LR: 0.078495
Training Epoch: 1 [37888/47500]	Loss: 1.4380	LR: 0.079032
Training Epoch: 1 [38144/47500]	Loss: 1.4881	LR: 0.079570
Training Epoch: 1 [38400/47500]	Loss: 1.6370	LR: 0.080108
Training Epoch: 1 [38656/47500]	Loss: 1.3970	LR: 0.080645
Training Epoch: 1 [38912/47500]	Loss: 1.5070	LR: 0.081183
Training Epoch: 1 [39168/47500]	Loss: 1.3307	LR: 0.081720
Training Epoch: 1 [39424/47500]	Loss: 1.5232	LR: 0.082258
Training Epoch: 1 [39680/47500]	Loss: 1.6092	LR: 0.082796
Training Epoch: 1 [39936/47500]	Loss: 1.4597	LR: 0.083333
Training Epoch: 1 [40192/47500]	Loss: 1.6061	LR: 0.083871
Training Epoch: 1 [40448/47500]	Loss: 1.5920	LR: 0.084409
Training Epoch: 1 [40704/47500]	Loss: 1.5598	LR: 0.084946
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Training Epoch: 1 [41728/47500]	Loss: 1.5046	LR: 0.087097
Training Epoch: 1 [41984/47500]	Loss: 1.6126	LR: 0.087634
Training Epoch: 1 [42240/47500]	Loss: 1.5026	LR: 0.088172
Training Epoch: 1 [42496/47500]	Loss: 1.4152	LR: 0.088710
Training Epoch: 1 [42752/47500]	Loss: 1.3865	LR: 0.089247
Training Epoch: 1 [43008/47500]	Loss: 1.5117	LR: 0.089785
Training Epoch: 1 [43264/47500]	Loss: 1.7292	LR: 0.090323
Training Epoch: 1 [43520/47500]	Loss: 1.5279	LR: 0.090860
Training Epoch: 1 [43776/47500]	Loss: 1.4156	LR: 0.091398
Training Epoch: 1 [44032/47500]	Loss: 1.4573	LR: 0.091935
Training Epoch: 1 [44288/47500]	Loss: 1.5759	LR: 0.092473
Training Epoch: 1 [44544/47500]	Loss: 1.4775	LR: 0.093011
Training Epoch: 1 [44800/47500]	Loss: 1.4143	LR: 0.093548
Training Epoch: 1 [45056/47500]	Loss: 1.4258	LR: 0.094086
Training Epoch: 1 [45312/47500]	Loss: 1.4079	LR: 0.094624
Training Epoch: 1 [45568/47500]	Loss: 1.4631	LR: 0.095161
Training Epoch: 1 [45824/47500]	Loss: 1.4324	LR: 0.095699
Training Epoch: 1 [46080/47500]	Loss: 1.2865	LR: 0.096237
Training Epoch: 1 [46336/47500]	Loss: 1.3419	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 1.4376	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 1.5131	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 1.3843	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 1.2316	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 1.1260	LR: 0.099462
Epoch 1 - Average Train Loss: 1.7004, Train Accuracy: 0.3788
Epoch 1 training time consumed: 29.50s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0065, Accuracy: 0.4716, Time consumed:1.07s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_13h_10m_51s/ResNet18-Cifar10-seed10-ret50-1-best.pth
Training Epoch: 2 [256/47500]	Loss: 1.4335	LR: 0.100000
Training Epoch: 2 [512/47500]	Loss: 1.2300	LR: 0.100000
Training Epoch: 2 [768/47500]	Loss: 1.2237	LR: 0.100000
Training Epoch: 2 [1024/47500]	Loss: 1.2656	LR: 0.100000
Training Epoch: 2 [1280/47500]	Loss: 1.2701	LR: 0.100000
Training Epoch: 2 [1536/47500]	Loss: 1.2803	LR: 0.100000
Training Epoch: 2 [1792/47500]	Loss: 1.3706	LR: 0.100000
Training Epoch: 2 [2048/47500]	Loss: 1.4554	LR: 0.100000
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Training Epoch: 2 [2560/47500]	Loss: 1.5167	LR: 0.100000
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Training Epoch: 2 [3072/47500]	Loss: 1.3579	LR: 0.100000
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Training Epoch: 2 [3584/47500]	Loss: 1.2700	LR: 0.100000
Training Epoch: 2 [3840/47500]	Loss: 1.2186	LR: 0.100000
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Training Epoch: 2 [4352/47500]	Loss: 1.4592	LR: 0.100000
Training Epoch: 2 [4608/47500]	Loss: 1.4169	LR: 0.100000
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Training Epoch: 2 [22528/47500]	Loss: 1.2677	LR: 0.100000
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Training Epoch: 2 [46592/47500]	Loss: 0.9638	LR: 0.100000
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Training Epoch: 2 [47360/47500]	Loss: 1.0761	LR: 0.100000
Training Epoch: 2 [47500/47500]	Loss: 0.9460	LR: 0.100000
Epoch 2 - Average Train Loss: 1.1989, Train Accuracy: 0.5686
Epoch 2 training time consumed: 28.70s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0041, Accuracy: 0.6439, Time consumed:1.02s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_13h_10m_51s/ResNet18-Cifar10-seed10-ret50-2-best.pth
Training Epoch: 3 [256/47500]	Loss: 0.9694	LR: 0.100000
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Training Epoch: 3 [47500/47500]	Loss: 0.8531	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9405, Train Accuracy: 0.6689
Epoch 3 training time consumed: 28.74s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0031, Accuracy: 0.7299, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_13h_10m_51s/ResNet18-Cifar10-seed10-ret50-3-best.pth
Training Epoch: 4 [256/47500]	Loss: 0.6681	LR: 0.100000
Training Epoch: 4 [512/47500]	Loss: 0.6751	LR: 0.100000
Training Epoch: 4 [768/47500]	Loss: 0.9643	LR: 0.100000
Training Epoch: 4 [1024/47500]	Loss: 0.8917	LR: 0.100000
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Training Epoch: 4 [1536/47500]	Loss: 0.8729	LR: 0.100000
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Training Epoch: 4 [47500/47500]	Loss: 0.9029	LR: 0.100000
Epoch 4 - Average Train Loss: 0.7926, Train Accuracy: 0.7220
Epoch 4 training time consumed: 28.86s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0031, Accuracy: 0.7356, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_13h_10m_51s/ResNet18-Cifar10-seed10-ret50-4-best.pth
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Epoch 5 - Average Train Loss: 0.7044, Train Accuracy: 0.7537
Epoch 5 training time consumed: 28.57s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0036, Accuracy: 0.6981, Time consumed:0.93s
Training Epoch: 6 [256/47500]	Loss: 0.7097	LR: 0.100000
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Training Epoch: 6 [47500/47500]	Loss: 0.5557	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6374, Train Accuracy: 0.7764
Epoch 6 training time consumed: 28.69s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0027, Accuracy: 0.7783, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_13h_10m_51s/ResNet18-Cifar10-seed10-ret50-6-best.pth
Training Epoch: 7 [256/47500]	Loss: 0.5563	LR: 0.100000
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Training Epoch: 7 [10240/47500]	Loss: 0.6197	LR: 0.100000
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Training Epoch: 7 [10752/47500]	Loss: 0.6375	LR: 0.100000
Training Epoch: 7 [11008/47500]	Loss: 0.6129	LR: 0.100000
Training Epoch: 7 [11264/47500]	Loss: 0.6141	LR: 0.100000
Training Epoch: 7 [11520/47500]	Loss: 0.4844	LR: 0.100000
Training Epoch: 7 [11776/47500]	Loss: 0.5734	LR: 0.100000
Training Epoch: 7 [12032/47500]	Loss: 0.5267	LR: 0.100000
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Training Epoch: 7 [12544/47500]	Loss: 0.7904	LR: 0.100000
Training Epoch: 7 [12800/47500]	Loss: 0.6410	LR: 0.100000
Training Epoch: 7 [13056/47500]	Loss: 0.5966	LR: 0.100000
Training Epoch: 7 [13312/47500]	Loss: 0.5637	LR: 0.100000
Training Epoch: 7 [13568/47500]	Loss: 0.5332	LR: 0.100000
Training Epoch: 7 [13824/47500]	Loss: 0.6878	LR: 0.100000
Training Epoch: 7 [14080/47500]	Loss: 0.6651	LR: 0.100000
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Training Epoch: 7 [14592/47500]	Loss: 0.6050	LR: 0.100000
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Training Epoch: 7 [15104/47500]	Loss: 0.5892	LR: 0.100000
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Training Epoch: 7 [15616/47500]	Loss: 0.4690	LR: 0.100000
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Training Epoch: 7 [16128/47500]	Loss: 0.6250	LR: 0.100000
Training Epoch: 7 [16384/47500]	Loss: 0.7042	LR: 0.100000
Training Epoch: 7 [16640/47500]	Loss: 0.6337	LR: 0.100000
Training Epoch: 7 [16896/47500]	Loss: 0.5887	LR: 0.100000
Training Epoch: 7 [17152/47500]	Loss: 0.6153	LR: 0.100000
Training Epoch: 7 [17408/47500]	Loss: 0.5979	LR: 0.100000
Training Epoch: 7 [17664/47500]	Loss: 0.6308	LR: 0.100000
Training Epoch: 7 [17920/47500]	Loss: 0.5480	LR: 0.100000
Training Epoch: 7 [18176/47500]	Loss: 0.5765	LR: 0.100000
Training Epoch: 7 [18432/47500]	Loss: 0.6918	LR: 0.100000
Training Epoch: 7 [18688/47500]	Loss: 0.6796	LR: 0.100000
Training Epoch: 7 [18944/47500]	Loss: 0.5465	LR: 0.100000
Training Epoch: 7 [19200/47500]	Loss: 0.6810	LR: 0.100000
Training Epoch: 7 [19456/47500]	Loss: 0.6130	LR: 0.100000
Training Epoch: 7 [19712/47500]	Loss: 0.6369	LR: 0.100000
Training Epoch: 7 [19968/47500]	Loss: 0.4773	LR: 0.100000
Training Epoch: 7 [20224/47500]	Loss: 0.5674	LR: 0.100000
Training Epoch: 7 [20480/47500]	Loss: 0.5349	LR: 0.100000
Training Epoch: 7 [20736/47500]	Loss: 0.6239	LR: 0.100000
Training Epoch: 7 [20992/47500]	Loss: 0.5257	LR: 0.100000
Training Epoch: 7 [21248/47500]	Loss: 0.6744	LR: 0.100000
Training Epoch: 7 [21504/47500]	Loss: 0.4871	LR: 0.100000
Training Epoch: 7 [21760/47500]	Loss: 0.6099	LR: 0.100000
Training Epoch: 7 [22016/47500]	Loss: 0.5529	LR: 0.100000
Training Epoch: 7 [22272/47500]	Loss: 0.5319	LR: 0.100000
Training Epoch: 7 [22528/47500]	Loss: 0.6156	LR: 0.100000
Training Epoch: 7 [22784/47500]	Loss: 0.5833	LR: 0.100000
Training Epoch: 7 [23040/47500]	Loss: 0.5824	LR: 0.100000
Training Epoch: 7 [23296/47500]	Loss: 0.5169	LR: 0.100000
Training Epoch: 7 [23552/47500]	Loss: 0.5565	LR: 0.100000
Training Epoch: 7 [23808/47500]	Loss: 0.5074	LR: 0.100000
Training Epoch: 7 [24064/47500]	Loss: 0.5376	LR: 0.100000
Training Epoch: 7 [24320/47500]	Loss: 0.5822	LR: 0.100000
Training Epoch: 7 [24576/47500]	Loss: 0.5642	LR: 0.100000
Training Epoch: 7 [24832/47500]	Loss: 0.5628	LR: 0.100000
Training Epoch: 7 [25088/47500]	Loss: 0.6561	LR: 0.100000
Training Epoch: 7 [25344/47500]	Loss: 0.6255	LR: 0.100000
Training Epoch: 7 [25600/47500]	Loss: 0.5353	LR: 0.100000
Training Epoch: 7 [25856/47500]	Loss: 0.5658	LR: 0.100000
Training Epoch: 7 [26112/47500]	Loss: 0.6561	LR: 0.100000
Training Epoch: 7 [26368/47500]	Loss: 0.4920	LR: 0.100000
Training Epoch: 7 [26624/47500]	Loss: 0.5962	LR: 0.100000
Training Epoch: 7 [26880/47500]	Loss: 0.4782	LR: 0.100000
Training Epoch: 7 [27136/47500]	Loss: 0.5594	LR: 0.100000
Training Epoch: 7 [27392/47500]	Loss: 0.7271	LR: 0.100000
Training Epoch: 7 [27648/47500]	Loss: 0.6248	LR: 0.100000
Training Epoch: 7 [27904/47500]	Loss: 0.6167	LR: 0.100000
Training Epoch: 7 [28160/47500]	Loss: 0.5668	LR: 0.100000
Training Epoch: 7 [28416/47500]	Loss: 0.6094	LR: 0.100000
Training Epoch: 7 [28672/47500]	Loss: 0.7194	LR: 0.100000
Training Epoch: 7 [28928/47500]	Loss: 0.6158	LR: 0.100000
Training Epoch: 7 [29184/47500]	Loss: 0.5904	LR: 0.100000
Training Epoch: 7 [29440/47500]	Loss: 0.5871	LR: 0.100000
Training Epoch: 7 [29696/47500]	Loss: 0.5631	LR: 0.100000
Training Epoch: 7 [29952/47500]	Loss: 0.6638	LR: 0.100000
Training Epoch: 7 [30208/47500]	Loss: 0.6881	LR: 0.100000
Training Epoch: 7 [30464/47500]	Loss: 0.4792	LR: 0.100000
Training Epoch: 7 [30720/47500]	Loss: 0.6114	LR: 0.100000
Training Epoch: 7 [30976/47500]	Loss: 0.5373	LR: 0.100000
Training Epoch: 7 [31232/47500]	Loss: 0.5402	LR: 0.100000
Training Epoch: 7 [31488/47500]	Loss: 0.5679	LR: 0.100000
Training Epoch: 7 [31744/47500]	Loss: 0.6383	LR: 0.100000
Training Epoch: 7 [32000/47500]	Loss: 0.6284	LR: 0.100000
Training Epoch: 7 [32256/47500]	Loss: 0.4600	LR: 0.100000
Training Epoch: 7 [32512/47500]	Loss: 0.5936	LR: 0.100000
Training Epoch: 7 [32768/47500]	Loss: 0.6213	LR: 0.100000
Training Epoch: 7 [33024/47500]	Loss: 0.5558	LR: 0.100000
Training Epoch: 7 [33280/47500]	Loss: 0.5311	LR: 0.100000
Training Epoch: 7 [33536/47500]	Loss: 0.5251	LR: 0.100000
Training Epoch: 7 [33792/47500]	Loss: 0.6012	LR: 0.100000
Training Epoch: 7 [34048/47500]	Loss: 0.5148	LR: 0.100000
Training Epoch: 7 [34304/47500]	Loss: 0.6855	LR: 0.100000
Training Epoch: 7 [34560/47500]	Loss: 0.5751	LR: 0.100000
Training Epoch: 7 [34816/47500]	Loss: 0.5193	LR: 0.100000
Training Epoch: 7 [35072/47500]	Loss: 0.5726	LR: 0.100000
Training Epoch: 7 [35328/47500]	Loss: 0.5841	LR: 0.100000
Training Epoch: 7 [35584/47500]	Loss: 0.5990	LR: 0.100000
Training Epoch: 7 [35840/47500]	Loss: 0.6034	LR: 0.100000
Training Epoch: 7 [36096/47500]	Loss: 0.5105	LR: 0.100000
Training Epoch: 7 [36352/47500]	Loss: 0.6395	LR: 0.100000
Training Epoch: 7 [36608/47500]	Loss: 0.5112	LR: 0.100000
Training Epoch: 7 [36864/47500]	Loss: 0.5730	LR: 0.100000
Training Epoch: 7 [37120/47500]	Loss: 0.6508	LR: 0.100000
Training Epoch: 7 [37376/47500]	Loss: 0.5954	LR: 0.100000
Training Epoch: 7 [37632/47500]	Loss: 0.6156	LR: 0.100000
Training Epoch: 7 [37888/47500]	Loss: 0.6035	LR: 0.100000
Training Epoch: 7 [38144/47500]	Loss: 0.4848	LR: 0.100000
Training Epoch: 7 [38400/47500]	Loss: 0.5518	LR: 0.100000
Training Epoch: 7 [38656/47500]	Loss: 0.5900	LR: 0.100000
Training Epoch: 7 [38912/47500]	Loss: 0.5614	LR: 0.100000
Training Epoch: 7 [39168/47500]	Loss: 0.5678	LR: 0.100000
Training Epoch: 7 [39424/47500]	Loss: 0.5820	LR: 0.100000
Training Epoch: 7 [39680/47500]	Loss: 0.6502	LR: 0.100000
Training Epoch: 7 [39936/47500]	Loss: 0.6186	LR: 0.100000
Training Epoch: 7 [40192/47500]	Loss: 0.5488	LR: 0.100000
Training Epoch: 7 [40448/47500]	Loss: 0.6175	LR: 0.100000
Training Epoch: 7 [40704/47500]	Loss: 0.4707	LR: 0.100000
Training Epoch: 7 [40960/47500]	Loss: 0.5088	LR: 0.100000
Training Epoch: 7 [41216/47500]	Loss: 0.5517	LR: 0.100000
Training Epoch: 7 [41472/47500]	Loss: 0.5929	LR: 0.100000
Training Epoch: 7 [41728/47500]	Loss: 0.5961	LR: 0.100000
Training Epoch: 7 [41984/47500]	Loss: 0.5342	LR: 0.100000
Training Epoch: 7 [42240/47500]	Loss: 0.6418	LR: 0.100000
Training Epoch: 7 [42496/47500]	Loss: 0.6778	LR: 0.100000
Training Epoch: 7 [42752/47500]	Loss: 0.5705	LR: 0.100000
Training Epoch: 7 [43008/47500]	Loss: 0.5814	LR: 0.100000
Training Epoch: 7 [43264/47500]	Loss: 0.5243	LR: 0.100000
Training Epoch: 7 [43520/47500]	Loss: 0.5494	LR: 0.100000
Training Epoch: 7 [43776/47500]	Loss: 0.6250	LR: 0.100000
Training Epoch: 7 [44032/47500]	Loss: 0.5973	LR: 0.100000
Training Epoch: 7 [44288/47500]	Loss: 0.6196	LR: 0.100000
Training Epoch: 7 [44544/47500]	Loss: 0.5062	LR: 0.100000
Training Epoch: 7 [44800/47500]	Loss: 0.5822	LR: 0.100000
Training Epoch: 7 [45056/47500]	Loss: 0.5665	LR: 0.100000
Training Epoch: 7 [45312/47500]	Loss: 0.5487	LR: 0.100000
Training Epoch: 7 [45568/47500]	Loss: 0.6860	LR: 0.100000
Training Epoch: 7 [45824/47500]	Loss: 0.6424	LR: 0.100000
Training Epoch: 7 [46080/47500]	Loss: 0.6071	LR: 0.100000
Training Epoch: 7 [46336/47500]	Loss: 0.6649	LR: 0.100000
Training Epoch: 7 [46592/47500]	Loss: 0.6907	LR: 0.100000
Training Epoch: 7 [46848/47500]	Loss: 0.5315	LR: 0.100000
Training Epoch: 7 [47104/47500]	Loss: 0.5093	LR: 0.100000
Training Epoch: 7 [47360/47500]	Loss: 0.6113	LR: 0.100000
Training Epoch: 7 [47500/47500]	Loss: 0.6741	LR: 0.100000
Epoch 7 - Average Train Loss: 0.5915, Train Accuracy: 0.7936
Epoch 7 training time consumed: 28.61s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0027, Accuracy: 0.7706, Time consumed:0.99s
Training Epoch: 8 [256/47500]	Loss: 0.5540	LR: 0.020000
Training Epoch: 8 [512/47500]	Loss: 0.6873	LR: 0.020000
Training Epoch: 8 [768/47500]	Loss: 0.5147	LR: 0.020000
Training Epoch: 8 [1024/47500]	Loss: 0.5540	LR: 0.020000
Training Epoch: 8 [1280/47500]	Loss: 0.4651	LR: 0.020000
Training Epoch: 8 [1536/47500]	Loss: 0.5483	LR: 0.020000
Training Epoch: 8 [1792/47500]	Loss: 0.4999	LR: 0.020000
Training Epoch: 8 [2048/47500]	Loss: 0.6133	LR: 0.020000
Training Epoch: 8 [2304/47500]	Loss: 0.5447	LR: 0.020000
Training Epoch: 8 [2560/47500]	Loss: 0.5234	LR: 0.020000
Training Epoch: 8 [2816/47500]	Loss: 0.5424	LR: 0.020000
Training Epoch: 8 [3072/47500]	Loss: 0.4773	LR: 0.020000
Training Epoch: 8 [3328/47500]	Loss: 0.4896	LR: 0.020000
Training Epoch: 8 [3584/47500]	Loss: 0.4313	LR: 0.020000
Training Epoch: 8 [3840/47500]	Loss: 0.4748	LR: 0.020000
Training Epoch: 8 [4096/47500]	Loss: 0.5361	LR: 0.020000
Training Epoch: 8 [4352/47500]	Loss: 0.4535	LR: 0.020000
Training Epoch: 8 [4608/47500]	Loss: 0.5335	LR: 0.020000
Training Epoch: 8 [4864/47500]	Loss: 0.4817	LR: 0.020000
Training Epoch: 8 [5120/47500]	Loss: 0.4197	LR: 0.020000
Training Epoch: 8 [5376/47500]	Loss: 0.5046	LR: 0.020000
Training Epoch: 8 [5632/47500]	Loss: 0.4271	LR: 0.020000
Training Epoch: 8 [5888/47500]	Loss: 0.5012	LR: 0.020000
Training Epoch: 8 [6144/47500]	Loss: 0.4254	LR: 0.020000
Training Epoch: 8 [6400/47500]	Loss: 0.6570	LR: 0.020000
Training Epoch: 8 [6656/47500]	Loss: 0.5203	LR: 0.020000
Training Epoch: 8 [6912/47500]	Loss: 0.5205	LR: 0.020000
Training Epoch: 8 [7168/47500]	Loss: 0.4480	LR: 0.020000
Training Epoch: 8 [7424/47500]	Loss: 0.3788	LR: 0.020000
Training Epoch: 8 [7680/47500]	Loss: 0.4437	LR: 0.020000
Training Epoch: 8 [7936/47500]	Loss: 0.3987	LR: 0.020000
Training Epoch: 8 [8192/47500]	Loss: 0.3955	LR: 0.020000
Training Epoch: 8 [8448/47500]	Loss: 0.4370	LR: 0.020000
Training Epoch: 8 [8704/47500]	Loss: 0.5425	LR: 0.020000
Training Epoch: 8 [8960/47500]	Loss: 0.3744	LR: 0.020000
Training Epoch: 8 [9216/47500]	Loss: 0.4798	LR: 0.020000
Training Epoch: 8 [9472/47500]	Loss: 0.4410	LR: 0.020000
Training Epoch: 8 [9728/47500]	Loss: 0.4487	LR: 0.020000
Training Epoch: 8 [9984/47500]	Loss: 0.5669	LR: 0.020000
Training Epoch: 8 [10240/47500]	Loss: 0.4134	LR: 0.020000
Training Epoch: 8 [10496/47500]	Loss: 0.4462	LR: 0.020000
Training Epoch: 8 [10752/47500]	Loss: 0.4513	LR: 0.020000
Training Epoch: 8 [11008/47500]	Loss: 0.4780	LR: 0.020000
Training Epoch: 8 [11264/47500]	Loss: 0.4895	LR: 0.020000
Training Epoch: 8 [11520/47500]	Loss: 0.4158	LR: 0.020000
Training Epoch: 8 [11776/47500]	Loss: 0.4012	LR: 0.020000
Training Epoch: 8 [12032/47500]	Loss: 0.5135	LR: 0.020000
Training Epoch: 8 [12288/47500]	Loss: 0.4391	LR: 0.020000
Training Epoch: 8 [12544/47500]	Loss: 0.4116	LR: 0.020000
Training Epoch: 8 [12800/47500]	Loss: 0.4344	LR: 0.020000
Training Epoch: 8 [13056/47500]	Loss: 0.3890	LR: 0.020000
Training Epoch: 8 [13312/47500]	Loss: 0.4760	LR: 0.020000
Training Epoch: 8 [13568/47500]	Loss: 0.4696	LR: 0.020000
Training Epoch: 8 [13824/47500]	Loss: 0.4027	LR: 0.020000
Training Epoch: 8 [14080/47500]	Loss: 0.4076	LR: 0.020000
Training Epoch: 8 [14336/47500]	Loss: 0.4796	LR: 0.020000
Training Epoch: 8 [14592/47500]	Loss: 0.5494	LR: 0.020000
Training Epoch: 8 [14848/47500]	Loss: 0.4125	LR: 0.020000
Training Epoch: 8 [15104/47500]	Loss: 0.4965	LR: 0.020000
Training Epoch: 8 [15360/47500]	Loss: 0.4722	LR: 0.020000
Training Epoch: 8 [15616/47500]	Loss: 0.4298	LR: 0.020000
Training Epoch: 8 [15872/47500]	Loss: 0.3878	LR: 0.020000
Training Epoch: 8 [16128/47500]	Loss: 0.5253	LR: 0.020000
Training Epoch: 8 [16384/47500]	Loss: 0.4153	LR: 0.020000
Training Epoch: 8 [16640/47500]	Loss: 0.4472	LR: 0.020000
Training Epoch: 8 [16896/47500]	Loss: 0.4569	LR: 0.020000
Training Epoch: 8 [17152/47500]	Loss: 0.4526	LR: 0.020000
Training Epoch: 8 [17408/47500]	Loss: 0.4348	LR: 0.020000
Training Epoch: 8 [17664/47500]	Loss: 0.5143	LR: 0.020000
Training Epoch: 8 [17920/47500]	Loss: 0.4516	LR: 0.020000
Training Epoch: 8 [18176/47500]	Loss: 0.4429	LR: 0.020000
Training Epoch: 8 [18432/47500]	Loss: 0.4146	LR: 0.020000
Training Epoch: 8 [18688/47500]	Loss: 0.3733	LR: 0.020000
Training Epoch: 8 [18944/47500]	Loss: 0.5347	LR: 0.020000
Training Epoch: 8 [19200/47500]	Loss: 0.4878	LR: 0.020000
Training Epoch: 8 [19456/47500]	Loss: 0.4762	LR: 0.020000
Training Epoch: 8 [19712/47500]	Loss: 0.4394	LR: 0.020000
Training Epoch: 8 [19968/47500]	Loss: 0.3901	LR: 0.020000
Training Epoch: 8 [20224/47500]	Loss: 0.4146	LR: 0.020000
Training Epoch: 8 [20480/47500]	Loss: 0.4377	LR: 0.020000
Training Epoch: 8 [20736/47500]	Loss: 0.3910	LR: 0.020000
Training Epoch: 8 [20992/47500]	Loss: 0.4784	LR: 0.020000
Training Epoch: 8 [21248/47500]	Loss: 0.4313	LR: 0.020000
Training Epoch: 8 [21504/47500]	Loss: 0.5260	LR: 0.020000
Training Epoch: 8 [21760/47500]	Loss: 0.4222	LR: 0.020000
Training Epoch: 8 [22016/47500]	Loss: 0.4388	LR: 0.020000
Training Epoch: 8 [22272/47500]	Loss: 0.3553	LR: 0.020000
Training Epoch: 8 [22528/47500]	Loss: 0.4178	LR: 0.020000
Training Epoch: 8 [22784/47500]	Loss: 0.4653	LR: 0.020000
Training Epoch: 8 [23040/47500]	Loss: 0.4136	LR: 0.020000
Training Epoch: 8 [23296/47500]	Loss: 0.3954	LR: 0.020000
Training Epoch: 8 [23552/47500]	Loss: 0.5110	LR: 0.020000
Training Epoch: 8 [23808/47500]	Loss: 0.4430	LR: 0.020000
Training Epoch: 8 [24064/47500]	Loss: 0.4292	LR: 0.020000
Training Epoch: 8 [24320/47500]	Loss: 0.5146	LR: 0.020000
Training Epoch: 8 [24576/47500]	Loss: 0.4421	LR: 0.020000
Training Epoch: 8 [24832/47500]	Loss: 0.4486	LR: 0.020000
Training Epoch: 8 [25088/47500]	Loss: 0.4515	LR: 0.020000
Training Epoch: 8 [25344/47500]	Loss: 0.4820	LR: 0.020000
Training Epoch: 8 [25600/47500]	Loss: 0.3867	LR: 0.020000
Training Epoch: 8 [25856/47500]	Loss: 0.4041	LR: 0.020000
Training Epoch: 8 [26112/47500]	Loss: 0.3699	LR: 0.020000
Training Epoch: 8 [26368/47500]	Loss: 0.4103	LR: 0.020000
Training Epoch: 8 [26624/47500]	Loss: 0.4689	LR: 0.020000
Training Epoch: 8 [26880/47500]	Loss: 0.4303	LR: 0.020000
Training Epoch: 8 [27136/47500]	Loss: 0.4507	LR: 0.020000
Training Epoch: 8 [27392/47500]	Loss: 0.4630	LR: 0.020000
Training Epoch: 8 [27648/47500]	Loss: 0.3979	LR: 0.020000
Training Epoch: 8 [27904/47500]	Loss: 0.4219	LR: 0.020000
Training Epoch: 8 [28160/47500]	Loss: 0.4146	LR: 0.020000
Training Epoch: 8 [28416/47500]	Loss: 0.4192	LR: 0.020000
Training Epoch: 8 [28672/47500]	Loss: 0.3908	LR: 0.020000
Training Epoch: 8 [28928/47500]	Loss: 0.3783	LR: 0.020000
Training Epoch: 8 [29184/47500]	Loss: 0.4589	LR: 0.020000
Training Epoch: 8 [29440/47500]	Loss: 0.3657	LR: 0.020000
Training Epoch: 8 [29696/47500]	Loss: 0.3974	LR: 0.020000
Training Epoch: 8 [29952/47500]	Loss: 0.3667	LR: 0.020000
Training Epoch: 8 [30208/47500]	Loss: 0.4489	LR: 0.020000
Training Epoch: 8 [30464/47500]	Loss: 0.3469	LR: 0.020000
Training Epoch: 8 [30720/47500]	Loss: 0.4019	LR: 0.020000
Training Epoch: 8 [30976/47500]	Loss: 0.4383	LR: 0.020000
Training Epoch: 8 [31232/47500]	Loss: 0.3744	LR: 0.020000
Training Epoch: 8 [31488/47500]	Loss: 0.3843	LR: 0.020000
Training Epoch: 8 [31744/47500]	Loss: 0.3745	LR: 0.020000
Training Epoch: 8 [32000/47500]	Loss: 0.3979	LR: 0.020000
Training Epoch: 8 [32256/47500]	Loss: 0.4337	LR: 0.020000
Training Epoch: 8 [32512/47500]	Loss: 0.5741	LR: 0.020000
Training Epoch: 8 [32768/47500]	Loss: 0.4427	LR: 0.020000
Training Epoch: 8 [33024/47500]	Loss: 0.4096	LR: 0.020000
Training Epoch: 8 [33280/47500]	Loss: 0.3460	LR: 0.020000
Training Epoch: 8 [33536/47500]	Loss: 0.4370	LR: 0.020000
Training Epoch: 8 [33792/47500]	Loss: 0.3443	LR: 0.020000
Training Epoch: 8 [34048/47500]	Loss: 0.4177	LR: 0.020000
Training Epoch: 8 [34304/47500]	Loss: 0.4319	LR: 0.020000
Training Epoch: 8 [34560/47500]	Loss: 0.4962	LR: 0.020000
Training Epoch: 8 [34816/47500]	Loss: 0.4098	LR: 0.020000
Training Epoch: 8 [35072/47500]	Loss: 0.4166	LR: 0.020000
Training Epoch: 8 [35328/47500]	Loss: 0.4179	LR: 0.020000
Training Epoch: 8 [35584/47500]	Loss: 0.4315	LR: 0.020000
Training Epoch: 8 [35840/47500]	Loss: 0.4288	LR: 0.020000
Training Epoch: 8 [36096/47500]	Loss: 0.4795	LR: 0.020000
Training Epoch: 8 [36352/47500]	Loss: 0.4808	LR: 0.020000
Training Epoch: 8 [36608/47500]	Loss: 0.4383	LR: 0.020000
Training Epoch: 8 [36864/47500]	Loss: 0.4238	LR: 0.020000
Training Epoch: 8 [37120/47500]	Loss: 0.4084	LR: 0.020000
Training Epoch: 8 [37376/47500]	Loss: 0.3905	LR: 0.020000
Training Epoch: 8 [37632/47500]	Loss: 0.4323	LR: 0.020000
Training Epoch: 8 [37888/47500]	Loss: 0.4015	LR: 0.020000
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Training Epoch: 8 [47500/47500]	Loss: 0.3873	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4439, Train Accuracy: 0.8465
Epoch 8 training time consumed: 28.73s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0016, Accuracy: 0.8622, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_13h_10m_51s/ResNet18-Cifar10-seed10-ret50-8-best.pth
Training Epoch: 9 [256/47500]	Loss: 0.3216	LR: 0.020000
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Training Epoch: 9 [47500/47500]	Loss: 0.4009	LR: 0.020000
Epoch 9 - Average Train Loss: 0.3948, Train Accuracy: 0.8634
Epoch 9 training time consumed: 28.68s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0016, Accuracy: 0.8632, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_13h_10m_51s/ResNet18-Cifar10-seed10-ret50-9-best.pth
Training Epoch: 10 [256/47500]	Loss: 0.3905	LR: 0.020000
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Training Epoch: 10 [47500/47500]	Loss: 0.4463	LR: 0.020000
Epoch 10 - Average Train Loss: 0.3753, Train Accuracy: 0.8683
Epoch 10 training time consumed: 28.68s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0016, Accuracy: 0.8712, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_13h_10m_51s/ResNet18-Cifar10-seed10-ret50-10-best.pth
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Training Epoch: 11 [47360/47500]	Loss: 0.3914	LR: 0.020000
Training Epoch: 11 [47500/47500]	Loss: 0.2740	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3573, Train Accuracy: 0.8756
Epoch 11 training time consumed: 28.87s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0016, Accuracy: 0.8739, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_13h_10m_51s/ResNet18-Cifar10-seed10-ret50-11-best.pth
Training Epoch: 12 [256/47500]	Loss: 0.3769	LR: 0.004000
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Training Epoch: 12 [47500/47500]	Loss: 0.3462	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3108, Train Accuracy: 0.8908
Epoch 12 training time consumed: 28.75s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0014, Accuracy: 0.8843, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_13h_10m_51s/ResNet18-Cifar10-seed10-ret50-12-best.pth
Training Epoch: 13 [256/47500]	Loss: 0.3511	LR: 0.004000
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Training Epoch: 13 [47500/47500]	Loss: 0.2881	LR: 0.004000
Epoch 13 - Average Train Loss: 0.2959, Train Accuracy: 0.8978
Epoch 13 training time consumed: 29.03s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0013, Accuracy: 0.8896, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_13h_10m_51s/ResNet18-Cifar10-seed10-ret50-13-best.pth
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Training Epoch: 14 [47500/47500]	Loss: 0.3771	LR: 0.004000
Epoch 14 - Average Train Loss: 0.2899, Train Accuracy: 0.8987
Epoch 14 training time consumed: 28.85s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0013, Accuracy: 0.8896, Time consumed:0.91s
Training Epoch: 15 [256/47500]	Loss: 0.2947	LR: 0.004000
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Training Epoch: 15 [47500/47500]	Loss: 0.2767	LR: 0.004000
Epoch 15 - Average Train Loss: 0.2863, Train Accuracy: 0.9002
Epoch 15 training time consumed: 28.67s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0013, Accuracy: 0.8903, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_13h_10m_51s/ResNet18-Cifar10-seed10-ret50-15-best.pth
Training Epoch: 16 [256/47500]	Loss: 0.2826	LR: 0.000800
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Training Epoch: 16 [47500/47500]	Loss: 0.2836	LR: 0.000800
Epoch 16 - Average Train Loss: 0.2721, Train Accuracy: 0.9058
Epoch 16 training time consumed: 28.75s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0013, Accuracy: 0.8932, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_13h_10m_51s/ResNet18-Cifar10-seed10-ret50-16-best.pth
Training Epoch: 17 [256/47500]	Loss: 0.2579	LR: 0.000800
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Training Epoch: 17 [45056/47500]	Loss: 0.2084	LR: 0.000800
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Training Epoch: 17 [46336/47500]	Loss: 0.3166	LR: 0.000800
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Training Epoch: 17 [47104/47500]	Loss: 0.2951	LR: 0.000800
Training Epoch: 17 [47360/47500]	Loss: 0.2581	LR: 0.000800
Training Epoch: 17 [47500/47500]	Loss: 0.2136	LR: 0.000800
Epoch 17 - Average Train Loss: 0.2683, Train Accuracy: 0.9079
Epoch 17 training time consumed: 28.66s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0013, Accuracy: 0.8951, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_13h_10m_51s/ResNet18-Cifar10-seed10-ret50-17-best.pth
Training Epoch: 18 [256/47500]	Loss: 0.2988	LR: 0.000800
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Training Epoch: 18 [768/47500]	Loss: 0.1973	LR: 0.000800
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Training Epoch: 18 [44288/47500]	Loss: 0.2867	LR: 0.000800
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Training Epoch: 18 [45056/47500]	Loss: 0.2795	LR: 0.000800
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Training Epoch: 18 [45568/47500]	Loss: 0.2089	LR: 0.000800
Training Epoch: 18 [45824/47500]	Loss: 0.3556	LR: 0.000800
Training Epoch: 18 [46080/47500]	Loss: 0.3144	LR: 0.000800
Training Epoch: 18 [46336/47500]	Loss: 0.3389	LR: 0.000800
Training Epoch: 18 [46592/47500]	Loss: 0.2357	LR: 0.000800
Training Epoch: 18 [46848/47500]	Loss: 0.2564	LR: 0.000800
Training Epoch: 18 [47104/47500]	Loss: 0.3300	LR: 0.000800
Training Epoch: 18 [47360/47500]	Loss: 0.2272	LR: 0.000800
Training Epoch: 18 [47500/47500]	Loss: 0.1716	LR: 0.000800
Epoch 18 - Average Train Loss: 0.2659, Train Accuracy: 0.9079
Epoch 18 training time consumed: 28.82s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0013, Accuracy: 0.8941, Time consumed:0.93s
Training Epoch: 19 [256/47500]	Loss: 0.3548	LR: 0.000800
Training Epoch: 19 [512/47500]	Loss: 0.2647	LR: 0.000800
Training Epoch: 19 [768/47500]	Loss: 0.2824	LR: 0.000800
Training Epoch: 19 [1024/47500]	Loss: 0.3520	LR: 0.000800
Training Epoch: 19 [1280/47500]	Loss: 0.2550	LR: 0.000800
Training Epoch: 19 [1536/47500]	Loss: 0.3247	LR: 0.000800
Training Epoch: 19 [1792/47500]	Loss: 0.1852	LR: 0.000800
Training Epoch: 19 [2048/47500]	Loss: 0.2567	LR: 0.000800
Training Epoch: 19 [2304/47500]	Loss: 0.2451	LR: 0.000800
Training Epoch: 19 [2560/47500]	Loss: 0.2596	LR: 0.000800
Training Epoch: 19 [2816/47500]	Loss: 0.2199	LR: 0.000800
Training Epoch: 19 [3072/47500]	Loss: 0.2477	LR: 0.000800
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Training Epoch: 19 [3584/47500]	Loss: 0.3101	LR: 0.000800
Training Epoch: 19 [3840/47500]	Loss: 0.2267	LR: 0.000800
Training Epoch: 19 [4096/47500]	Loss: 0.2194	LR: 0.000800
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Training Epoch: 19 [4608/47500]	Loss: 0.2814	LR: 0.000800
Training Epoch: 19 [4864/47500]	Loss: 0.2044	LR: 0.000800
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Training Epoch: 19 [5376/47500]	Loss: 0.2517	LR: 0.000800
Training Epoch: 19 [5632/47500]	Loss: 0.1983	LR: 0.000800
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Training Epoch: 19 [22272/47500]	Loss: 0.2580	LR: 0.000800
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Training Epoch: 19 [45312/47500]	Loss: 0.3110	LR: 0.000800
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Training Epoch: 19 [46336/47500]	Loss: 0.2483	LR: 0.000800
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Training Epoch: 19 [46848/47500]	Loss: 0.2529	LR: 0.000800
Training Epoch: 19 [47104/47500]	Loss: 0.3210	LR: 0.000800
Training Epoch: 19 [47360/47500]	Loss: 0.2471	LR: 0.000800
Training Epoch: 19 [47500/47500]	Loss: 0.3302	LR: 0.000800
Epoch 19 - Average Train Loss: 0.2651, Train Accuracy: 0.9095
Epoch 19 training time consumed: 29.25s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0013, Accuracy: 0.8960, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_13h_10m_51s/ResNet18-Cifar10-seed10-ret50-19-best.pth
Training Epoch: 20 [256/47500]	Loss: 0.2324	LR: 0.000800
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Training Epoch: 20 [43520/47500]	Loss: 0.2296	LR: 0.000800
Training Epoch: 20 [43776/47500]	Loss: 0.1924	LR: 0.000800
Training Epoch: 20 [44032/47500]	Loss: 0.2263	LR: 0.000800
Training Epoch: 20 [44288/47500]	Loss: 0.2615	LR: 0.000800
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Training Epoch: 20 [44800/47500]	Loss: 0.2623	LR: 0.000800
Training Epoch: 20 [45056/47500]	Loss: 0.2589	LR: 0.000800
Training Epoch: 20 [45312/47500]	Loss: 0.2351	LR: 0.000800
Training Epoch: 20 [45568/47500]	Loss: 0.2388	LR: 0.000800
Training Epoch: 20 [45824/47500]	Loss: 0.2621	LR: 0.000800
Training Epoch: 20 [46080/47500]	Loss: 0.2733	LR: 0.000800
Training Epoch: 20 [46336/47500]	Loss: 0.3055	LR: 0.000800
Training Epoch: 20 [46592/47500]	Loss: 0.2422	LR: 0.000800
Training Epoch: 20 [46848/47500]	Loss: 0.2221	LR: 0.000800
Training Epoch: 20 [47104/47500]	Loss: 0.2065	LR: 0.000800
Training Epoch: 20 [47360/47500]	Loss: 0.2853	LR: 0.000800
Training Epoch: 20 [47500/47500]	Loss: 0.2686	LR: 0.000800
Epoch 20 - Average Train Loss: 0.2623, Train Accuracy: 0.9097
Epoch 20 training time consumed: 28.65s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0013, Accuracy: 0.8954, Time consumed:0.95s
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: 89.638671875
Retain Accuracy: 91.24891662597656
Zero-Retain Forget (ZRF): 0.8336924910545349
Membership Inference Attack (MIA): 0.6204
Forget vs Retain Membership Inference Attack (MIA): 0.527
Forget vs Test Membership Inference Attack (MIA): 0.55
Test vs Retain Membership Inference Attack (MIA): 0.49375
Train vs Test Membership Inference Attack (MIA): 0.51925
Forget Set Accuracy (Df): 87.75589752197266
Method Execution Time: 1539.70 seconds
