
📌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: 0.00010, train_loss: 0.6438, val_loss: 0.1410, val_acc: 99.1406
Epoch [1], last_lr: 0.00010, train_loss: 0.6055, val_loss: 0.1821, val_acc: 99.1602
Epoch [2], last_lr: 0.00010, train_loss: 0.5918, val_loss: 0.1390, val_acc: 99.3848
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: 99.384765625
Retain Accuracy: 99.24639129638672
Zero-Retain Forget (ZRF): 0.947037935256958
Membership Inference Attack (MIA): 0.4445
Forget vs Retain Membership Inference Attack (MIA): 0.5154166666666666
Forget vs Test Membership Inference Attack (MIA): 0.5275
Test vs Retain Membership Inference Attack (MIA): 0.48875
Train vs Test Membership Inference Attack (MIA): 0.499
Forget Set Accuracy (Df): 98.59561157226562
Method Execution Time: 679.99 seconds
