hello
hello

📌S Retain class distribution for seed 7:
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 7:
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: 0.2262, val_loss: 0.2929, val_acc: 89.9414
Epoch [1], last_lr: 0.02000, train_loss: 0.2231, val_loss: 0.3092, val_acc: 89.9805
Epoch [2], last_lr: 0.02000, train_loss: 0.2118, val_loss: 0.3200, val_acc: 89.5410
Epoch [3], last_lr: 0.02000, train_loss: 0.2086, val_loss: 0.3003, val_acc: 90.3809
Epoch [4], last_lr: 0.02000, train_loss: 0.2009, val_loss: 0.3129, val_acc: 89.8535
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: 89.853515625
Retain Accuracy: 92.48002624511719
Zero-Retain Forget (ZRF): 0.8288562297821045
Membership Inference Attack (MIA): 0.6482
Forget vs Retain Membership Inference Attack (MIA): 0.53
Forget vs Test Membership Inference Attack (MIA): 0.5325
Test vs Retain Membership Inference Attack (MIA): 0.50275
Train vs Test Membership Inference Attack (MIA): 0.534
Forget Set Accuracy (Df): 90.9593276977539
Method Execution Time: 1080.75 seconds
