hello
hello

📌 S Retain class distribution for seed 2:
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 2:
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: 0.02000, train_loss: 0.2777, val_loss: 0.3503, val_acc: 88.3398
Epoch [1], last_lr: 0.02000, train_loss: 0.2762, val_loss: 0.3365, val_acc: 88.7207
Epoch [2], last_lr: 0.02000, train_loss: 0.2737, val_loss: 0.3659, val_acc: 87.9199
Epoch [3], last_lr: 0.02000, train_loss: 0.2626, val_loss: 0.3627, val_acc: 87.9102
Epoch [4], last_lr: 0.02000, train_loss: 0.2594, val_loss: 0.3387, val_acc: 88.9453
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: 88.9453125
Retain Accuracy: 91.44744110107422
Zero-Retain Forget (ZRF): 0.8405890464782715
Membership Inference Attack (MIA): 0.6004
Forget vs Retain Membership Inference Attack (MIA): 0.531
Forget vs Test Membership Inference Attack (MIA): 0.542
Test vs Retain Membership Inference Attack (MIA): 0.502
Train vs Test Membership Inference Attack (MIA): 0.51775
Forget Set Accuracy (Df): 88.8453598022461
Method Execution Time: 617.53 seconds
