hello
hello
Labels

📌S Retain class distribution for seed 6:
Class 0: 4500
Class 1: 4500
Class 2: 4500
Class 3: 4500
Class 4: 4500
Class 5: 4500
Class 6: 4500
Class 7: 4500
Class 8: 4500
Class 9: 4500

📌S Forget class distribution for seed 6:
Class 0: 500
Class 1: 500
Class 2: 500
Class 3: 500
Class 4: 500
Class 5: 500
Class 6: 500
Class 7: 500
Class 8: 500
Class 9: 500
780909900

📊 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.
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Training Epoch: 1 [44288/47500]	Loss: 1.1396	LR: 0.092473
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Training Epoch: 1 [45568/47500]	Loss: 1.1931	LR: 0.095161
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Training Epoch: 1 [46336/47500]	Loss: 1.2450	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 0.9569	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 1.2104	LR: 0.097849
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Training Epoch: 1 [47360/47500]	Loss: 1.0570	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 0.9936	LR: 0.099462
Epoch 1 - Average Train Loss: 1.5344, Train Accuracy: 0.4421
Epoch 1 training time consumed: 19.49s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0061, Accuracy: 0.5251, Time consumed:1.02s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_17h_40m_35s/ResNet18-Cifar10-seed6-ret50-1-best.pth
Training Epoch: 2 [256/47500]	Loss: 1.1899	LR: 0.020000
Training Epoch: 2 [512/47500]	Loss: 1.0814	LR: 0.020000
Training Epoch: 2 [768/47500]	Loss: 1.0560	LR: 0.020000
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Training Epoch: 2 [47360/47500]	Loss: 0.6737	LR: 0.020000
Training Epoch: 2 [47500/47500]	Loss: 0.7113	LR: 0.020000
Epoch 2 - Average Train Loss: 0.7834, Train Accuracy: 0.7223
Epoch 2 training time consumed: 19.03s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0035, Accuracy: 0.6889, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_17h_40m_35s/ResNet18-Cifar10-seed6-ret50-2-best.pth
Training Epoch: 3 [256/47500]	Loss: 0.6670	LR: 0.020000
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Training Epoch: 3 [47104/47500]	Loss: 0.5491	LR: 0.020000
Training Epoch: 3 [47360/47500]	Loss: 0.5240	LR: 0.020000
Training Epoch: 3 [47500/47500]	Loss: 0.6319	LR: 0.020000
Epoch 3 - Average Train Loss: 0.5966, Train Accuracy: 0.7896
Epoch 3 training time consumed: 18.71s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0026, Accuracy: 0.7706, Time consumed:1.01s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_17h_40m_35s/ResNet18-Cifar10-seed6-ret50-3-best.pth
Training Epoch: 4 [256/47500]	Loss: 0.4007	LR: 0.020000
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Training Epoch: 4 [47500/47500]	Loss: 0.5065	LR: 0.020000
Epoch 4 - Average Train Loss: 0.4500, Train Accuracy: 0.8439
Epoch 4 training time consumed: 18.65s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0028, Accuracy: 0.7596, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_17h_40m_35s/ResNet18-Cifar10-seed6-ret50-4-best.pth
Training Epoch: 5 [256/47500]	Loss: 0.4018	LR: 0.004000
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Training Epoch: 5 [46336/47500]	Loss: 0.1628	LR: 0.004000
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Training Epoch: 5 [47360/47500]	Loss: 0.1421	LR: 0.004000
Training Epoch: 5 [47500/47500]	Loss: 0.2203	LR: 0.004000
Epoch 5 - Average Train Loss: 0.2120, Train Accuracy: 0.9327
Epoch 5 training time consumed: 18.68s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0022, Accuracy: 0.8228, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_17h_40m_35s/ResNet18-Cifar10-seed6-ret50-5-best.pth
Training Epoch: 6 [256/47500]	Loss: 0.1026	LR: 0.004000
Training Epoch: 6 [512/47500]	Loss: 0.0901	LR: 0.004000
Training Epoch: 6 [768/47500]	Loss: 0.1116	LR: 0.004000
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Training Epoch: 6 [46336/47500]	Loss: 0.1390	LR: 0.004000
Training Epoch: 6 [46592/47500]	Loss: 0.1023	LR: 0.004000
Training Epoch: 6 [46848/47500]	Loss: 0.0833	LR: 0.004000
Training Epoch: 6 [47104/47500]	Loss: 0.1362	LR: 0.004000
Training Epoch: 6 [47360/47500]	Loss: 0.1165	LR: 0.004000
Training Epoch: 6 [47500/47500]	Loss: 0.0849	LR: 0.004000
Epoch 6 - Average Train Loss: 0.1155, Train Accuracy: 0.9678
Epoch 6 training time consumed: 18.68s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0023, Accuracy: 0.8195, Time consumed:1.01s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_17h_40m_35s/ResNet18-Cifar10-seed6-ret50-6-best.pth
Training Epoch: 7 [256/47500]	Loss: 0.0655	LR: 0.004000
Training Epoch: 7 [512/47500]	Loss: 0.0640	LR: 0.004000
Training Epoch: 7 [768/47500]	Loss: 0.0452	LR: 0.004000
Training Epoch: 7 [1024/47500]	Loss: 0.0646	LR: 0.004000
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Training Epoch: 7 [47500/47500]	Loss: 0.0949	LR: 0.004000
Epoch 7 - Average Train Loss: 0.0548, Train Accuracy: 0.9894
Epoch 7 training time consumed: 18.87s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0026, Accuracy: 0.8176, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_17h_40m_35s/ResNet18-Cifar10-seed6-ret50-7-best.pth
Training Epoch: 8 [256/47500]	Loss: 0.0264	LR: 0.004000
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Training Epoch: 8 [1536/47500]	Loss: 0.0272	LR: 0.004000
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Training Epoch: 8 [26368/47500]	Loss: 0.0168	LR: 0.004000
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Training Epoch: 8 [43520/47500]	Loss: 0.0178	LR: 0.004000
Training Epoch: 8 [43776/47500]	Loss: 0.0143	LR: 0.004000
Training Epoch: 8 [44032/47500]	Loss: 0.0292	LR: 0.004000
Training Epoch: 8 [44288/47500]	Loss: 0.0211	LR: 0.004000
Training Epoch: 8 [44544/47500]	Loss: 0.0257	LR: 0.004000
Training Epoch: 8 [44800/47500]	Loss: 0.0255	LR: 0.004000
Training Epoch: 8 [45056/47500]	Loss: 0.0175	LR: 0.004000
Training Epoch: 8 [45312/47500]	Loss: 0.0143	LR: 0.004000
Training Epoch: 8 [45568/47500]	Loss: 0.0157	LR: 0.004000
Training Epoch: 8 [45824/47500]	Loss: 0.0240	LR: 0.004000
Training Epoch: 8 [46080/47500]	Loss: 0.0244	LR: 0.004000
Training Epoch: 8 [46336/47500]	Loss: 0.0163	LR: 0.004000
Training Epoch: 8 [46592/47500]	Loss: 0.0157	LR: 0.004000
Training Epoch: 8 [46848/47500]	Loss: 0.0141	LR: 0.004000
Training Epoch: 8 [47104/47500]	Loss: 0.0168	LR: 0.004000
Training Epoch: 8 [47360/47500]	Loss: 0.0182	LR: 0.004000
Training Epoch: 8 [47500/47500]	Loss: 0.0252	LR: 0.004000
Epoch 8 - Average Train Loss: 0.0234, Train Accuracy: 0.9982
Epoch 8 training time consumed: 18.75s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0026, Accuracy: 0.8241, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_17h_40m_35s/ResNet18-Cifar10-seed6-ret50-8-best.pth
Training Epoch: 9 [256/47500]	Loss: 0.0130	LR: 0.000800
Training Epoch: 9 [512/47500]	Loss: 0.0122	LR: 0.000800
Training Epoch: 9 [768/47500]	Loss: 0.0136	LR: 0.000800
Training Epoch: 9 [1024/47500]	Loss: 0.0168	LR: 0.000800
Training Epoch: 9 [1280/47500]	Loss: 0.0101	LR: 0.000800
Training Epoch: 9 [1536/47500]	Loss: 0.0122	LR: 0.000800
Training Epoch: 9 [1792/47500]	Loss: 0.0100	LR: 0.000800
Training Epoch: 9 [2048/47500]	Loss: 0.0134	LR: 0.000800
Training Epoch: 9 [2304/47500]	Loss: 0.0107	LR: 0.000800
Training Epoch: 9 [2560/47500]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [2816/47500]	Loss: 0.0095	LR: 0.000800
Training Epoch: 9 [3072/47500]	Loss: 0.0124	LR: 0.000800
Training Epoch: 9 [3328/47500]	Loss: 0.0097	LR: 0.000800
Training Epoch: 9 [3584/47500]	Loss: 0.0143	LR: 0.000800
Training Epoch: 9 [3840/47500]	Loss: 0.0145	LR: 0.000800
Training Epoch: 9 [4096/47500]	Loss: 0.0106	LR: 0.000800
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Training Epoch: 9 [4608/47500]	Loss: 0.0085	LR: 0.000800
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Training Epoch: 9 [5376/47500]	Loss: 0.0134	LR: 0.000800
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Training Epoch: 9 [6144/47500]	Loss: 0.0130	LR: 0.000800
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Training Epoch: 9 [9728/47500]	Loss: 0.0086	LR: 0.000800
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Training Epoch: 9 [11264/47500]	Loss: 0.0092	LR: 0.000800
Training Epoch: 9 [11520/47500]	Loss: 0.0088	LR: 0.000800
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Training Epoch: 9 [12288/47500]	Loss: 0.0098	LR: 0.000800
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Training Epoch: 9 [22528/47500]	Loss: 0.0109	LR: 0.000800
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Training Epoch: 9 [23040/47500]	Loss: 0.0111	LR: 0.000800
Training Epoch: 9 [23296/47500]	Loss: 0.0097	LR: 0.000800
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Training Epoch: 9 [26624/47500]	Loss: 0.0098	LR: 0.000800
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Training Epoch: 9 [30208/47500]	Loss: 0.0122	LR: 0.000800
Training Epoch: 9 [30464/47500]	Loss: 0.0085	LR: 0.000800
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Training Epoch: 9 [31488/47500]	Loss: 0.0183	LR: 0.000800
Training Epoch: 9 [31744/47500]	Loss: 0.0097	LR: 0.000800
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Training Epoch: 9 [32256/47500]	Loss: 0.0089	LR: 0.000800
Training Epoch: 9 [32512/47500]	Loss: 0.0139	LR: 0.000800
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Training Epoch: 9 [34816/47500]	Loss: 0.0099	LR: 0.000800
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Training Epoch: 9 [35840/47500]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [36096/47500]	Loss: 0.0112	LR: 0.000800
Training Epoch: 9 [36352/47500]	Loss: 0.0110	LR: 0.000800
Training Epoch: 9 [36608/47500]	Loss: 0.0096	LR: 0.000800
Training Epoch: 9 [36864/47500]	Loss: 0.0111	LR: 0.000800
Training Epoch: 9 [37120/47500]	Loss: 0.0087	LR: 0.000800
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Training Epoch: 9 [37632/47500]	Loss: 0.0133	LR: 0.000800
Training Epoch: 9 [37888/47500]	Loss: 0.0097	LR: 0.000800
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Training Epoch: 9 [40192/47500]	Loss: 0.0095	LR: 0.000800
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Training Epoch: 9 [42496/47500]	Loss: 0.0104	LR: 0.000800
Training Epoch: 9 [42752/47500]	Loss: 0.0093	LR: 0.000800
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Training Epoch: 9 [43776/47500]	Loss: 0.0125	LR: 0.000800
Training Epoch: 9 [44032/47500]	Loss: 0.0126	LR: 0.000800
Training Epoch: 9 [44288/47500]	Loss: 0.0069	LR: 0.000800
Training Epoch: 9 [44544/47500]	Loss: 0.0122	LR: 0.000800
Training Epoch: 9 [44800/47500]	Loss: 0.0133	LR: 0.000800
Training Epoch: 9 [45056/47500]	Loss: 0.0067	LR: 0.000800
Training Epoch: 9 [45312/47500]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [45568/47500]	Loss: 0.0114	LR: 0.000800
Training Epoch: 9 [45824/47500]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [46080/47500]	Loss: 0.0114	LR: 0.000800
Training Epoch: 9 [46336/47500]	Loss: 0.0095	LR: 0.000800
Training Epoch: 9 [46592/47500]	Loss: 0.0118	LR: 0.000800
Training Epoch: 9 [46848/47500]	Loss: 0.0113	LR: 0.000800
Training Epoch: 9 [47104/47500]	Loss: 0.0122	LR: 0.000800
Training Epoch: 9 [47360/47500]	Loss: 0.0091	LR: 0.000800
Training Epoch: 9 [47500/47500]	Loss: 0.0085	LR: 0.000800
Epoch 9 - Average Train Loss: 0.0112, Train Accuracy: 0.9999
Epoch 9 training time consumed: 18.61s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0026, Accuracy: 0.8253, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_17h_40m_35s/ResNet18-Cifar10-seed6-ret50-9-best.pth
Training Epoch: 10 [256/47500]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [512/47500]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [768/47500]	Loss: 0.0078	LR: 0.000800
Training Epoch: 10 [1024/47500]	Loss: 0.0081	LR: 0.000800
Training Epoch: 10 [1280/47500]	Loss: 0.0107	LR: 0.000800
Training Epoch: 10 [1536/47500]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [1792/47500]	Loss: 0.0107	LR: 0.000800
Training Epoch: 10 [2048/47500]	Loss: 0.0073	LR: 0.000800
Training Epoch: 10 [2304/47500]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [2560/47500]	Loss: 0.0109	LR: 0.000800
Training Epoch: 10 [2816/47500]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [3072/47500]	Loss: 0.0093	LR: 0.000800
Training Epoch: 10 [3328/47500]	Loss: 0.0082	LR: 0.000800
Training Epoch: 10 [3584/47500]	Loss: 0.0093	LR: 0.000800
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Training Epoch: 10 [44544/47500]	Loss: 0.0081	LR: 0.000800
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Training Epoch: 10 [45056/47500]	Loss: 0.0093	LR: 0.000800
Training Epoch: 10 [45312/47500]	Loss: 0.0078	LR: 0.000800
Training Epoch: 10 [45568/47500]	Loss: 0.0079	LR: 0.000800
Training Epoch: 10 [45824/47500]	Loss: 0.0081	LR: 0.000800
Training Epoch: 10 [46080/47500]	Loss: 0.0214	LR: 0.000800
Training Epoch: 10 [46336/47500]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [46592/47500]	Loss: 0.0093	LR: 0.000800
Training Epoch: 10 [46848/47500]	Loss: 0.0081	LR: 0.000800
Training Epoch: 10 [47104/47500]	Loss: 0.0080	LR: 0.000800
Training Epoch: 10 [47360/47500]	Loss: 0.0075	LR: 0.000800
Training Epoch: 10 [47500/47500]	Loss: 0.0097	LR: 0.000800
Epoch 10 - Average Train Loss: 0.0094, Train Accuracy: 0.9999
Epoch 10 training time consumed: 18.78s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0026, Accuracy: 0.8267, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_17h_40m_35s/ResNet18-Cifar10-seed6-ret50-10-best.pth
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  47500
Forget Train Dl:  2500
Retain Valid Dl:  47500
Forget Valid Dl:  2500
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 2500 samples
Set1 Distribution: 2500 samples
Set2 Distribution: 2500 samples
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: 82.63671875
Retain Accuracy: 99.99369812011719
Zero-Retain Forget (ZRF): 0.7698251008987427
Membership Inference Attack (MIA): 0.6328
Forget vs Retain Membership Inference Attack (MIA): 0.59
Forget vs Test Membership Inference Attack (MIA): 0.498
Test vs Retain Membership Inference Attack (MIA): 0.61375
Train vs Test Membership Inference Attack (MIA): 0.62925
Forget Set Accuracy (Df): 83.3155288696289
Method Execution Time: 1134.91 seconds
