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

📌 S 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: 0.02000, train_loss: 0.2774, val_loss: 0.3312, val_acc: 88.7891
Epoch [1], last_lr: 0.02000, train_loss: 0.2775, val_loss: 0.3515, val_acc: 88.3301
Epoch [2], last_lr: 0.02000, train_loss: 0.2717, val_loss: 0.3203, val_acc: 89.1797
Epoch [3], last_lr: 0.02000, train_loss: 0.2641, val_loss: 0.3524, val_acc: 88.1738
Epoch [4], last_lr: 0.02000, train_loss: 0.2613, val_loss: 0.3611, val_acc: 88.2520
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: 88.251953125
Retain Accuracy: 90.74919891357422
Zero-Retain Forget (ZRF): 0.8308441638946533
Membership Inference Attack (MIA): 0.3628
Forget vs Retain Membership Inference Attack (MIA): 0.503
Forget vs Test Membership Inference Attack (MIA): 0.5335
Test vs Retain Membership Inference Attack (MIA): 0.5265
Train vs Test Membership Inference Attack (MIA): 0.51725
Forget Set Accuracy (Df): 88.30997467041016
Method Execution Time: 621.83 seconds
