
📌S Retain class distribution for seed 9:
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 9:
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: 0.0275, val_loss: 0.0209, val_acc: 99.3457
Epoch [1], last_lr: 0.02000, train_loss: 0.0245, val_loss: 0.0241, val_acc: 99.2480
Epoch [2], last_lr: 0.02000, train_loss: 0.0219, val_loss: 0.0186, val_acc: 99.4629
Epoch [3], last_lr: 0.02000, train_loss: 0.0203, val_loss: 0.0228, val_acc: 99.3750
Epoch [4], last_lr: 0.02000, train_loss: 0.0190, val_loss: 0.0192, val_acc: 99.4141
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: 99.4140625
Retain Accuracy: 99.46658325195312
Zero-Retain Forget (ZRF): 0.8013190031051636
Membership Inference Attack (MIA): 0.8006666666666666
Forget vs Retain Membership Inference Attack (MIA): 0.55375
Forget vs Test Membership Inference Attack (MIA): 0.51375
Test vs Retain Membership Inference Attack (MIA): 0.5355
Train vs Test Membership Inference Attack (MIA): 0.497
Forget Set Accuracy (Df): 99.15364837646484
Method Execution Time: 798.95 seconds
