hello
hello

📌 S Retain class distribution for seed 3:
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 3:
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: 0.2840, val_loss: 0.3264, val_acc: 89.1699
Epoch [1], last_lr: 0.02000, train_loss: 0.2796, val_loss: 0.4523, val_acc: 85.5371
Epoch [2], last_lr: 0.02000, train_loss: 0.2722, val_loss: 0.3517, val_acc: 88.6230
Epoch [3], last_lr: 0.02000, train_loss: 0.2679, val_loss: 0.3492, val_acc: 88.3887
Epoch [4], last_lr: 0.02000, train_loss: 0.2563, val_loss: 0.3624, val_acc: 87.9688
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: 87.96875
Retain Accuracy: 90.5827407836914
Zero-Retain Forget (ZRF): 0.8334189653396606
Membership Inference Attack (MIA): 0.6334
Forget vs Retain Membership Inference Attack (MIA): 0.5525
Forget vs Test Membership Inference Attack (MIA): 0.5355
Test vs Retain Membership Inference Attack (MIA): 0.5105
Train vs Test Membership Inference Attack (MIA): 0.526
Forget Set Accuracy (Df): 90.03102111816406
Method Execution Time: 623.08 seconds
