
📌S Retain class distribution for seed 5:
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 5:
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: 0.02000, train_loss: 0.0274, val_loss: 0.0251, val_acc: 99.1504
Epoch [1], last_lr: 0.02000, train_loss: 0.0243, val_loss: 0.0320, val_acc: 99.0527
Epoch [2], last_lr: 0.02000, train_loss: 0.0223, val_loss: 0.0220, val_acc: 99.4434
Epoch [3], last_lr: 0.02000, train_loss: 0.0202, val_loss: 0.0168, val_acc: 99.5703
Epoch [4], last_lr: 0.02000, train_loss: 0.0185, val_loss: 0.0195, val_acc: 99.4531
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: 99.453125
Retain Accuracy: 99.39079284667969
Zero-Retain Forget (ZRF): 0.8041427135467529
Membership Inference Attack (MIA): 0.18683333333333332
Forget vs Retain Membership Inference Attack (MIA): 0.5166666666666667
Forget vs Test Membership Inference Attack (MIA): 0.5141666666666667
Test vs Retain Membership Inference Attack (MIA): 0.49525
Train vs Test Membership Inference Attack (MIA): 0.49575
Forget Set Accuracy (Df): 98.9815902709961
Method Execution Time: 797.50 seconds
