
📌S Retain class distribution for seed 7:
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 7:
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: 0.6432, val_loss: 0.1207, val_acc: 99.3652
Epoch [1], last_lr: 0.00010, train_loss: 0.6041, val_loss: 0.1330, val_acc: 99.3457
Epoch [2], last_lr: 0.00010, train_loss: 0.5908, val_loss: 0.1366, val_acc: 99.3750
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: 99.375
Retain Accuracy: 99.14456939697266
Zero-Retain Forget (ZRF): 0.9469903111457825
Membership Inference Attack (MIA): 0.4653333333333333
Forget vs Retain Membership Inference Attack (MIA): 0.5479166666666667
Forget vs Test Membership Inference Attack (MIA): 0.53875
Test vs Retain Membership Inference Attack (MIA): 0.521
Train vs Test Membership Inference Attack (MIA): 0.5045
Forget Set Accuracy (Df): 98.99320220947266
Method Execution Time: 681.63 seconds
