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

📌 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: 0.00010, train_loss: 0.8007, val_loss: 0.3576, val_acc: 90.2441
Epoch [1], last_lr: 0.00010, train_loss: 0.6624, val_loss: 0.3790, val_acc: 89.6777
Epoch [2], last_lr: 0.00010, train_loss: 0.5316, val_loss: 0.4641, val_acc: 87.7930
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: 87.79296875
Retain Accuracy: 91.0888671875
Zero-Retain Forget (ZRF): 0.9393510222434998
Membership Inference Attack (MIA): 0.4784
Forget vs Retain Membership Inference Attack (MIA): 0.5195
Forget vs Test Membership Inference Attack (MIA): 0.4985
Test vs Retain Membership Inference Attack (MIA): 0.50075
Train vs Test Membership Inference Attack (MIA): 0.5245
Forget Set Accuracy (Df): 86.71300506591797
Method Execution Time: 1014.10 seconds
