hello
hello

📌 S Retain class distribution for seed 4:
Class 0: 4500
Class 1: 4500
Class 2: 4500
Class 3: 4500
Class 4: 4500
Class 5: 4500
Class 6: 4500
Class 7: 4500
Class 8: 4500
Class 9: 4500

📌 S Forget class distribution for seed 4:
Class 0: 500
Class 1: 500
Class 2: 500
Class 3: 500
Class 4: 500
Class 5: 500
Class 6: 500
Class 7: 500
Class 8: 500
Class 9: 500
hello
hello
Epoch [0], last_lr: 0.00010, train_loss: 0.9293, val_loss: 0.3942, val_acc: 88.2324
Epoch [1], last_lr: 0.00010, train_loss: 0.7924, val_loss: 0.3984, val_acc: 88.3691
Epoch [2], last_lr: 0.00010, train_loss: 0.7307, val_loss: 0.4038, val_acc: 87.8223
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  45000
Forget Train Dl:  5000
Retain Valid Dl:  45000
Forget Valid Dl:  5000
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 5000 samples
Set1 Distribution: 5000 samples
Set2 Distribution: 5000 samples
Set1 Distribution: 5000 samples
Set2 Distribution: 5000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 87.822265625
Retain Accuracy: 90.13317108154297
Zero-Retain Forget (ZRF): 0.9433960914611816
Membership Inference Attack (MIA): 0.5596
Forget vs Retain Membership Inference Attack (MIA): 0.544
Forget vs Test Membership Inference Attack (MIA): 0.585
Test vs Retain Membership Inference Attack (MIA): 0.5255
Train vs Test Membership Inference Attack (MIA): 0.52425
Forget Set Accuracy (Df): 87.44140625
Method Execution Time: 545.75 seconds
