hello
hello

📌S Retain class distribution for seed 9:
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 9:
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: 0.8050, val_loss: 0.3795, val_acc: 90.5566
Epoch [1], last_lr: 0.00010, train_loss: 0.6630, val_loss: 0.4048, val_acc: 89.3555
Epoch [2], last_lr: 0.00010, train_loss: 0.5371, val_loss: 0.4018, val_acc: 88.9355
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: 88.935546875
Retain Accuracy: 91.96955108642578
Zero-Retain Forget (ZRF): 0.9375661611557007
Membership Inference Attack (MIA): 0.5186
Forget vs Retain Membership Inference Attack (MIA): 0.5465
Forget vs Test Membership Inference Attack (MIA): 0.5485
Test vs Retain Membership Inference Attack (MIA): 0.52375
Train vs Test Membership Inference Attack (MIA): 0.51325
Forget Set Accuracy (Df): 87.53331756591797
Method Execution Time: 1007.07 seconds
