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: 2.3320	LR: 0.000000
Training Epoch: 1 [512/47500]	Loss: 2.3226	LR: 0.000538
Training Epoch: 1 [768/47500]	Loss: 2.3165	LR: 0.001075
Training Epoch: 1 [1024/47500]	Loss: 2.3171	LR: 0.001613
Training Epoch: 1 [1280/47500]	Loss: 2.3100	LR: 0.002151
Training Epoch: 1 [1536/47500]	Loss: 2.3062	LR: 0.002688
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Training Epoch: 1 [10496/47500]	Loss: 1.7937	LR: 0.021505
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Training Epoch: 1 [11008/47500]	Loss: 1.7723	LR: 0.022581
Training Epoch: 1 [11264/47500]	Loss: 1.7500	LR: 0.023118
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Training Epoch: 1 [11776/47500]	Loss: 1.8117	LR: 0.024194
Training Epoch: 1 [12032/47500]	Loss: 1.7545	LR: 0.024731
Training Epoch: 1 [12288/47500]	Loss: 1.7831	LR: 0.025269
Training Epoch: 1 [12544/47500]	Loss: 1.7256	LR: 0.025806
Training Epoch: 1 [12800/47500]	Loss: 1.7714	LR: 0.026344
Training Epoch: 1 [13056/47500]	Loss: 1.7280	LR: 0.026882
Training Epoch: 1 [13312/47500]	Loss: 1.7534	LR: 0.027419
Training Epoch: 1 [13568/47500]	Loss: 1.8554	LR: 0.027957
Training Epoch: 1 [13824/47500]	Loss: 1.7189	LR: 0.028495
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Training Epoch: 1 [16384/47500]	Loss: 1.8192	LR: 0.033871
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Training Epoch: 1 [16896/47500]	Loss: 1.6249	LR: 0.034946
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Training Epoch: 1 [22272/47500]	Loss: 1.5270	LR: 0.046237
Training Epoch: 1 [22528/47500]	Loss: 1.5082	LR: 0.046774
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Training Epoch: 1 [24064/47500]	Loss: 1.6677	LR: 0.050000
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Training Epoch: 1 [25088/47500]	Loss: 1.5182	LR: 0.052151
Training Epoch: 1 [25344/47500]	Loss: 1.4967	LR: 0.052688
Training Epoch: 1 [25600/47500]	Loss: 1.5525	LR: 0.053226
Training Epoch: 1 [25856/47500]	Loss: 1.4972	LR: 0.053763
Training Epoch: 1 [26112/47500]	Loss: 1.5023	LR: 0.054301
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Training Epoch: 1 [28160/47500]	Loss: 1.6162	LR: 0.058602
Training Epoch: 1 [28416/47500]	Loss: 1.5822	LR: 0.059140
Training Epoch: 1 [28672/47500]	Loss: 1.5466	LR: 0.059677
Training Epoch: 1 [28928/47500]	Loss: 1.4509	LR: 0.060215
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Training Epoch: 1 [29952/47500]	Loss: 1.4999	LR: 0.062366
Training Epoch: 1 [30208/47500]	Loss: 1.5883	LR: 0.062903
Training Epoch: 1 [30464/47500]	Loss: 1.4172	LR: 0.063441
Training Epoch: 1 [30720/47500]	Loss: 1.5361	LR: 0.063978
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Training Epoch: 1 [31744/47500]	Loss: 1.4547	LR: 0.066129
Training Epoch: 1 [32000/47500]	Loss: 1.4997	LR: 0.066667
Training Epoch: 1 [32256/47500]	Loss: 1.4147	LR: 0.067204
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Training Epoch: 1 [32768/47500]	Loss: 1.4480	LR: 0.068280
Training Epoch: 1 [33024/47500]	Loss: 1.5715	LR: 0.068817
Training Epoch: 1 [33280/47500]	Loss: 1.4448	LR: 0.069355
Training Epoch: 1 [33536/47500]	Loss: 1.6411	LR: 0.069892
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Training Epoch: 1 [35328/47500]	Loss: 1.4694	LR: 0.073656
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Training Epoch: 1 [35840/47500]	Loss: 1.3527	LR: 0.074731
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Training Epoch: 1 [36608/47500]	Loss: 1.3273	LR: 0.076344
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Training Epoch: 1 [37376/47500]	Loss: 1.3481	LR: 0.077957
Training Epoch: 1 [37632/47500]	Loss: 1.3305	LR: 0.078495
Training Epoch: 1 [37888/47500]	Loss: 1.5188	LR: 0.079032
Training Epoch: 1 [38144/47500]	Loss: 1.5218	LR: 0.079570
Training Epoch: 1 [38400/47500]	Loss: 1.3569	LR: 0.080108
Training Epoch: 1 [38656/47500]	Loss: 1.4638	LR: 0.080645
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Training Epoch: 1 [40192/47500]	Loss: 1.3849	LR: 0.083871
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Training Epoch: 1 [41728/47500]	Loss: 1.4773	LR: 0.087097
Training Epoch: 1 [41984/47500]	Loss: 1.3794	LR: 0.087634
Training Epoch: 1 [42240/47500]	Loss: 1.4418	LR: 0.088172
Training Epoch: 1 [42496/47500]	Loss: 1.4850	LR: 0.088710
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Training Epoch: 1 [43008/47500]	Loss: 1.3650	LR: 0.089785
Training Epoch: 1 [43264/47500]	Loss: 1.3727	LR: 0.090323
Training Epoch: 1 [43520/47500]	Loss: 1.4773	LR: 0.090860
Training Epoch: 1 [43776/47500]	Loss: 1.4037	LR: 0.091398
Training Epoch: 1 [44032/47500]	Loss: 1.3435	LR: 0.091935
Training Epoch: 1 [44288/47500]	Loss: 1.3816	LR: 0.092473
Training Epoch: 1 [44544/47500]	Loss: 1.2866	LR: 0.093011
Training Epoch: 1 [44800/47500]	Loss: 1.4072	LR: 0.093548
Training Epoch: 1 [45056/47500]	Loss: 1.4226	LR: 0.094086
Training Epoch: 1 [45312/47500]	Loss: 1.5677	LR: 0.094624
Training Epoch: 1 [45568/47500]	Loss: 1.4103	LR: 0.095161
Training Epoch: 1 [45824/47500]	Loss: 1.3799	LR: 0.095699
Training Epoch: 1 [46080/47500]	Loss: 1.2560	LR: 0.096237
Training Epoch: 1 [46336/47500]	Loss: 1.2317	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 1.3062	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 1.3082	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 1.3251	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 1.3240	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 1.2470	LR: 0.099462
Epoch 1 - Average Train Loss: 1.6446, Train Accuracy: 0.3899
Epoch 1 training time consumed: 27.44s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0066, Accuracy: 0.4563, Time consumed:1.14s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_02h_31m_40s/AllCNN-Cifar10-seed10-ret50-1-best.pth
Training Epoch: 2 [256/47500]	Loss: 1.3757	LR: 0.100000
Training Epoch: 2 [512/47500]	Loss: 1.3339	LR: 0.100000
Training Epoch: 2 [768/47500]	Loss: 1.3383	LR: 0.100000
Training Epoch: 2 [1024/47500]	Loss: 1.3766	LR: 0.100000
Training Epoch: 2 [1280/47500]	Loss: 1.2706	LR: 0.100000
Training Epoch: 2 [1536/47500]	Loss: 1.2642	LR: 0.100000
Training Epoch: 2 [1792/47500]	Loss: 1.2449	LR: 0.100000
Training Epoch: 2 [2048/47500]	Loss: 1.2402	LR: 0.100000
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Training Epoch: 2 [3328/47500]	Loss: 1.2762	LR: 0.100000
Training Epoch: 2 [3584/47500]	Loss: 1.1485	LR: 0.100000
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Training Epoch: 2 [4352/47500]	Loss: 1.2689	LR: 0.100000
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Training Epoch: 2 [47500/47500]	Loss: 1.1568	LR: 0.100000
Epoch 2 - Average Train Loss: 1.1617, Train Accuracy: 0.5847
Epoch 2 training time consumed: 26.55s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0055, Accuracy: 0.5238, Time consumed:0.98s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_02h_31m_40s/AllCNN-Cifar10-seed10-ret50-2-best.pth
Training Epoch: 3 [256/47500]	Loss: 0.9699	LR: 0.100000
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Training Epoch: 3 [47500/47500]	Loss: 0.9466	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9695, Train Accuracy: 0.6561
Epoch 3 training time consumed: 26.64s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0046, Accuracy: 0.6088, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_02h_31m_40s/AllCNN-Cifar10-seed10-ret50-3-best.pth
Training Epoch: 4 [256/47500]	Loss: 0.9539	LR: 0.100000
Training Epoch: 4 [512/47500]	Loss: 0.8218	LR: 0.100000
Training Epoch: 4 [768/47500]	Loss: 0.9610	LR: 0.100000
Training Epoch: 4 [1024/47500]	Loss: 0.9313	LR: 0.100000
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Training Epoch: 4 [1792/47500]	Loss: 1.0593	LR: 0.100000
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Epoch 4 - Average Train Loss: 0.8420, Train Accuracy: 0.7034
Epoch 4 training time consumed: 26.75s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0032, Accuracy: 0.7193, Time consumed:0.95s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_02h_31m_40s/AllCNN-Cifar10-seed10-ret50-4-best.pth
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Training Epoch: 5 [47500/47500]	Loss: 0.8154	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7495, Train Accuracy: 0.7401
Epoch 5 training time consumed: 26.64s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0038, Accuracy: 0.6953, Time consumed:0.92s
Training Epoch: 6 [256/47500]	Loss: 0.7824	LR: 0.100000
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Training Epoch: 6 [47500/47500]	Loss: 0.4453	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6871, Train Accuracy: 0.7593
Epoch 6 training time consumed: 26.64s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0031, Accuracy: 0.7331, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_02h_31m_40s/AllCNN-Cifar10-seed10-ret50-6-best.pth
Training Epoch: 7 [256/47500]	Loss: 0.6068	LR: 0.100000
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Training Epoch: 7 [47500/47500]	Loss: 0.6580	LR: 0.100000
Epoch 7 - Average Train Loss: 0.6330, Train Accuracy: 0.7792
Epoch 7 training time consumed: 26.61s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0027, Accuracy: 0.7691, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_02h_31m_40s/AllCNN-Cifar10-seed10-ret50-7-best.pth
Training Epoch: 8 [256/47500]	Loss: 0.5713	LR: 0.020000
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Training Epoch: 8 [47500/47500]	Loss: 0.4892	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4839, Train Accuracy: 0.8325
Epoch 8 training time consumed: 26.68s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0018, Accuracy: 0.8427, Time consumed:0.98s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_02h_31m_40s/AllCNN-Cifar10-seed10-ret50-8-best.pth
Training Epoch: 9 [256/47500]	Loss: 0.3283	LR: 0.020000
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Training Epoch: 9 [47500/47500]	Loss: 0.5067	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4384, Train Accuracy: 0.8499
Epoch 9 training time consumed: 26.78s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0018, Accuracy: 0.8454, Time consumed:1.01s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_02h_31m_40s/AllCNN-Cifar10-seed10-ret50-9-best.pth
Training Epoch: 10 [256/47500]	Loss: 0.4576	LR: 0.020000
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Training Epoch: 10 [47500/47500]	Loss: 0.3616	LR: 0.020000
Epoch 10 - Average Train Loss: 0.4207, Train Accuracy: 0.8547
Epoch 10 training time consumed: 26.61s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0018, Accuracy: 0.8512, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_02h_31m_40s/AllCNN-Cifar10-seed10-ret50-10-best.pth
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Training Epoch: 11 [47360/47500]	Loss: 0.3905	LR: 0.020000
Training Epoch: 11 [47500/47500]	Loss: 0.4201	LR: 0.020000
Epoch 11 - Average Train Loss: 0.4062, Train Accuracy: 0.8607
Epoch 11 training time consumed: 26.74s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0017, Accuracy: 0.8551, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_02h_31m_40s/AllCNN-Cifar10-seed10-ret50-11-best.pth
Training Epoch: 12 [256/47500]	Loss: 0.4303	LR: 0.004000
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Training Epoch: 12 [47500/47500]	Loss: 0.3264	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3583, Train Accuracy: 0.8756
Epoch 12 training time consumed: 26.63s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0015, Accuracy: 0.8684, Time consumed:0.98s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_02h_31m_40s/AllCNN-Cifar10-seed10-ret50-12-best.pth
Training Epoch: 13 [256/47500]	Loss: 0.3932	LR: 0.004000
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Training Epoch: 13 [47500/47500]	Loss: 0.3684	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3424, Train Accuracy: 0.8842
Epoch 13 training time consumed: 26.61s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0015, Accuracy: 0.8743, Time consumed:0.96s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_02h_31m_40s/AllCNN-Cifar10-seed10-ret50-13-best.pth
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Training Epoch: 14 [47500/47500]	Loss: 0.3003	LR: 0.004000
Epoch 14 - Average Train Loss: 0.3375, Train Accuracy: 0.8842
Epoch 14 training time consumed: 26.64s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0015, Accuracy: 0.8762, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_02h_31m_40s/AllCNN-Cifar10-seed10-ret50-14-best.pth
Training Epoch: 15 [256/47500]	Loss: 0.3128	LR: 0.004000
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Training Epoch: 15 [47500/47500]	Loss: 0.3608	LR: 0.004000
Epoch 15 - Average Train Loss: 0.3306, Train Accuracy: 0.8869
Epoch 15 training time consumed: 26.79s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0015, Accuracy: 0.8751, Time consumed:0.92s
Training Epoch: 16 [256/47500]	Loss: 0.2626	LR: 0.000800
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Training Epoch: 16 [47500/47500]	Loss: 0.3640	LR: 0.000800
Epoch 16 - Average Train Loss: 0.3197, Train Accuracy: 0.8915
Epoch 16 training time consumed: 26.61s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0014, Accuracy: 0.8772, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_02h_31m_40s/AllCNN-Cifar10-seed10-ret50-16-best.pth
Training Epoch: 17 [256/47500]	Loss: 0.2800	LR: 0.000800
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Training Epoch: 17 [47360/47500]	Loss: 0.3188	LR: 0.000800
Training Epoch: 17 [47500/47500]	Loss: 0.2423	LR: 0.000800
Epoch 17 - Average Train Loss: 0.3140, Train Accuracy: 0.8925
Epoch 17 training time consumed: 26.59s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0014, Accuracy: 0.8798, Time consumed:0.95s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_02h_31m_40s/AllCNN-Cifar10-seed10-ret50-17-best.pth
Training Epoch: 18 [256/47500]	Loss: 0.3024	LR: 0.000800
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Training Epoch: 18 [47500/47500]	Loss: 0.2489	LR: 0.000800
Epoch 18 - Average Train Loss: 0.3135, Train Accuracy: 0.8920
Epoch 18 training time consumed: 26.74s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0014, Accuracy: 0.8799, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_02h_31m_40s/AllCNN-Cifar10-seed10-ret50-18-best.pth
Training Epoch: 19 [256/47500]	Loss: 0.3682	LR: 0.000800
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Training Epoch: 19 [47500/47500]	Loss: 0.2638	LR: 0.000800
Epoch 19 - Average Train Loss: 0.3077, Train Accuracy: 0.8955
Epoch 19 training time consumed: 27.03s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0014, Accuracy: 0.8806, Time consumed:0.96s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_02h_31m_40s/AllCNN-Cifar10-seed10-ret50-19-best.pth
Training Epoch: 20 [256/47500]	Loss: 0.2823	LR: 0.000800
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Training Epoch: 20 [46848/47500]	Loss: 0.2966	LR: 0.000800
Training Epoch: 20 [47104/47500]	Loss: 0.3556	LR: 0.000800
Training Epoch: 20 [47360/47500]	Loss: 0.3108	LR: 0.000800
Training Epoch: 20 [47500/47500]	Loss: 0.3879	LR: 0.000800
Epoch 20 - Average Train Loss: 0.3050, Train Accuracy: 0.8951
Epoch 20 training time consumed: 26.72s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0014, Accuracy: 0.8806, Time consumed:0.97s
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: 88.33984375
Retain Accuracy: 89.82119750976562
Zero-Retain Forget (ZRF): 0.8551352024078369
Membership Inference Attack (MIA): 0.4308
Forget vs Retain Membership Inference Attack (MIA): 0.515
Forget vs Test Membership Inference Attack (MIA): 0.567
Test vs Retain Membership Inference Attack (MIA): 0.5085
Train vs Test Membership Inference Attack (MIA): 0.516
Forget Set Accuracy (Df): 86.37675476074219
Method Execution Time: 1058.35 seconds
