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

📌 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: 0.00010, train_loss: 0.8081, val_loss: 0.3562, val_acc: 90.2832
Epoch [1], last_lr: 0.00010, train_loss: 0.6675, val_loss: 0.3756, val_acc: 89.9707
Epoch [2], last_lr: 0.00010, train_loss: 0.5363, val_loss: 0.4242, val_acc: 88.5645
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: 88.564453125
Retain Accuracy: 91.45321655273438
Zero-Retain Forget (ZRF): 0.941188395023346
Membership Inference Attack (MIA): 0.4492
Forget vs Retain Membership Inference Attack (MIA): 0.531
Forget vs Test Membership Inference Attack (MIA): 0.5335
Test vs Retain Membership Inference Attack (MIA): 0.524
Train vs Test Membership Inference Attack (MIA): 0.50725
Forget Set Accuracy (Df): 86.45105743408203
Method Execution Time: 1024.07 seconds
