hello
hello

📌 S Retain class distribution for seed 7:
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 7:
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: 0.9384, val_loss: 0.3980, val_acc: 87.9883
Epoch [1], last_lr: 0.00010, train_loss: 0.7999, val_loss: 0.3963, val_acc: 88.0371
Epoch [2], last_lr: 0.00010, train_loss: 0.7350, val_loss: 0.4028, val_acc: 87.4902
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: 87.490234375
Retain Accuracy: 90.55016326904297
Zero-Retain Forget (ZRF): 0.9404686093330383
Membership Inference Attack (MIA): 0.524
Forget vs Retain Membership Inference Attack (MIA): 0.5085
Forget vs Test Membership Inference Attack (MIA): 0.567
Test vs Retain Membership Inference Attack (MIA): 0.562
Train vs Test Membership Inference Attack (MIA): 0.52825
Forget Set Accuracy (Df): 88.55354309082031
Method Execution Time: 546.52 seconds
