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

📌 S 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: 0.9300, val_loss: 0.3829, val_acc: 88.3203
Epoch [1], last_lr: 0.00010, train_loss: 0.7960, val_loss: 0.3770, val_acc: 88.3691
Epoch [2], last_lr: 0.00010, train_loss: 0.7323, val_loss: 0.3900, val_acc: 87.9980
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: 87.998046875
Retain Accuracy: 90.70356750488281
Zero-Retain Forget (ZRF): 0.9393672347068787
Membership Inference Attack (MIA): 0.563
Forget vs Retain Membership Inference Attack (MIA): 0.5355
Forget vs Test Membership Inference Attack (MIA): 0.5805
Test vs Retain Membership Inference Attack (MIA): 0.52675
Train vs Test Membership Inference Attack (MIA): 0.5245
Forget Set Accuracy (Df): 87.82054138183594
Method Execution Time: 540.57 seconds
