hello
hello

📌S Retain class distribution for seed 1:
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

📌 Forget class distribution for seed 1:
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: 0.8055, val_loss: 0.3797, val_acc: 90.3516
Epoch [1], last_lr: 0.00010, train_loss: 0.6654, val_loss: 0.3721, val_acc: 90.0293
Epoch [2], last_lr: 0.00010, train_loss: 0.5410, val_loss: 0.4238, val_acc: 88.8184
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: 88.818359375
Retain Accuracy: 91.73526000976562
Zero-Retain Forget (ZRF): 0.9416463971138
Membership Inference Attack (MIA): 0.532
Forget vs Retain Membership Inference Attack (MIA): 0.5145
Forget vs Test Membership Inference Attack (MIA): 0.521
Test vs Retain Membership Inference Attack (MIA): 0.55
Train vs Test Membership Inference Attack (MIA): 0.5185
Forget Set Accuracy (Df): 88.29963684082031
Method Execution Time: 1066.09 seconds
