
📌S Retain class distribution for seed 8:
Class 0: 5323
Class 1: 6142
Class 2: 5358
Class 3: 5531
Class 4: 5242
Class 5: 4821
Class 6: 5318
Class 7: 5665
Class 8: 5251
Class 9: 5349

📌S Forget class distribution for seed 8:
Class 0: 600
Class 1: 600
Class 2: 600
Class 3: 600
Class 4: 600
Class 5: 600
Class 6: 600
Class 7: 600
Class 8: 600
Class 9: 600
79
Epoch [0], last_lr: 0.00010, train_loss: 0.6452, val_loss: 0.1229, val_acc: 99.3066
Epoch [1], last_lr: 0.00010, train_loss: 0.6043, val_loss: 0.1345, val_acc: 99.2285
Epoch [2], last_lr: 0.00010, train_loss: 0.5924, val_loss: 0.1172, val_acc: 99.3555
Valid (Test) Dl:  10000
Train Dl:  60000
Retain Train Dl:  54000
Forget Train Dl:  6000
Retain Valid Dl:  54000
Forget Valid Dl:  6000
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 6000 samples
Set1 Distribution: 6000 samples
Set2 Distribution: 6000 samples
Set1 Distribution: 6000 samples
Set2 Distribution: 6000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 99.35546875
Retain Accuracy: 99.06829833984375
Zero-Retain Forget (ZRF): 0.941695511341095
Membership Inference Attack (MIA): 0.41333333333333333
Forget vs Retain Membership Inference Attack (MIA): 0.5704166666666667
Forget vs Test Membership Inference Attack (MIA): 0.545
Test vs Retain Membership Inference Attack (MIA): 0.54575
Train vs Test Membership Inference Attack (MIA): 0.5035
Forget Set Accuracy (Df): 98.88858032226562
Method Execution Time: 680.10 seconds
