hello
hello

📌 S Retain class distribution for seed 6:
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 6:
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: 0.2792, val_loss: 0.3443, val_acc: 88.4082
Epoch [1], last_lr: 0.02000, train_loss: 0.2811, val_loss: 0.3573, val_acc: 87.8418
Epoch [2], last_lr: 0.02000, train_loss: 0.2706, val_loss: 0.3386, val_acc: 88.6035
Epoch [3], last_lr: 0.02000, train_loss: 0.2638, val_loss: 0.3582, val_acc: 87.9980
Epoch [4], last_lr: 0.02000, train_loss: 0.2580, val_loss: 0.3419, val_acc: 88.7402
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: 88.740234375
Retain Accuracy: 91.59419250488281
Zero-Retain Forget (ZRF): 0.8346678614616394
Membership Inference Attack (MIA): 0.3738
Forget vs Retain Membership Inference Attack (MIA): 0.4985
Forget vs Test Membership Inference Attack (MIA): 0.5375
Test vs Retain Membership Inference Attack (MIA): 0.50625
Train vs Test Membership Inference Attack (MIA): 0.5195
Forget Set Accuracy (Df): 88.69026184082031
Method Execution Time: 619.12 seconds
