hello
hello

📌 S Retain class distribution for seed 8:
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 8:
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: 0.2804, val_loss: 0.3559, val_acc: 88.0469
Epoch [1], last_lr: 0.02000, train_loss: 0.2782, val_loss: 0.3445, val_acc: 88.4473
Epoch [2], last_lr: 0.02000, train_loss: 0.2751, val_loss: 0.3415, val_acc: 88.7793
Epoch [3], last_lr: 0.02000, train_loss: 0.2635, val_loss: 0.3626, val_acc: 88.2715
Epoch [4], last_lr: 0.02000, train_loss: 0.2563, val_loss: 0.3739, val_acc: 88.0469
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: 88.046875
Retain Accuracy: 90.20259094238281
Zero-Retain Forget (ZRF): 0.8255434632301331
Membership Inference Attack (MIA): 0.3696
Forget vs Retain Membership Inference Attack (MIA): 0.525
Forget vs Test Membership Inference Attack (MIA): 0.5585
Test vs Retain Membership Inference Attack (MIA): 0.5235
Train vs Test Membership Inference Attack (MIA): 0.505
Forget Set Accuracy (Df): 88.02619934082031
Method Execution Time: 617.97 seconds
