hello
hello

📌S Retain class distribution for seed 5:
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 5:
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: 0.2207, val_loss: 0.3230, val_acc: 89.5801
Epoch [1], last_lr: 0.02000, train_loss: 0.2226, val_loss: 0.3191, val_acc: 89.6484
Epoch [2], last_lr: 0.02000, train_loss: 0.2162, val_loss: 0.3054, val_acc: 90.0781
Epoch [3], last_lr: 0.02000, train_loss: 0.2110, val_loss: 0.3038, val_acc: 89.7949
Epoch [4], last_lr: 0.02000, train_loss: 0.2062, val_loss: 0.2876, val_acc: 90.5371
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: 90.537109375
Retain Accuracy: 93.4162826538086
Zero-Retain Forget (ZRF): 0.8198661804199219
Membership Inference Attack (MIA): 0.68
Forget vs Retain Membership Inference Attack (MIA): 0.5065
Forget vs Test Membership Inference Attack (MIA): 0.5355
Test vs Retain Membership Inference Attack (MIA): 0.51625
Train vs Test Membership Inference Attack (MIA): 0.52625
Forget Set Accuracy (Df): 91.62223815917969
Method Execution Time: 1069.61 seconds
