hello
hello

📌 S Retain class distribution for seed 4:
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 4:
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: 0.2783, val_loss: 0.3411, val_acc: 88.5938
Epoch [1], last_lr: 0.02000, train_loss: 0.2784, val_loss: 0.3331, val_acc: 89.0332
Epoch [2], last_lr: 0.02000, train_loss: 0.2742, val_loss: 0.3377, val_acc: 88.8965
Epoch [3], last_lr: 0.02000, train_loss: 0.2653, val_loss: 0.3798, val_acc: 87.5684
Epoch [4], last_lr: 0.02000, train_loss: 0.2568, val_loss: 0.3676, val_acc: 88.0078
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: 88.0078125
Retain Accuracy: 90.6686782836914
Zero-Retain Forget (ZRF): 0.8285329937934875
Membership Inference Attack (MIA): 0.3766
Forget vs Retain Membership Inference Attack (MIA): 0.5185
Forget vs Test Membership Inference Attack (MIA): 0.538
Test vs Retain Membership Inference Attack (MIA): 0.503
Train vs Test Membership Inference Attack (MIA): 0.52025
Forget Set Accuracy (Df): 87.85730743408203
Method Execution Time: 617.63 seconds
