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

📌S 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
7
hello
hello
Epoch [0], last_lr: 0.00010, train_loss: 0.6572, val_loss: 0.1978, val_acc: 96.2207
Epoch [1], last_lr: 0.00010, train_loss: 0.5835, val_loss: 0.2162, val_acc: 96.4258
Epoch [2], last_lr: 0.00010, train_loss: 0.5392, val_loss: 0.1919, val_acc: 96.0156
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: 96.015625
Retain Accuracy: 97.86177062988281
Zero-Retain Forget (ZRF): 0.9416049718856812
Membership Inference Attack (MIA): 0.5786
Forget vs Retain Membership Inference Attack (MIA): 0.5595
Forget vs Test Membership Inference Attack (MIA): 0.62
Test vs Retain Membership Inference Attack (MIA): 0.57625
Train vs Test Membership Inference Attack (MIA): 0.501
Forget Set Accuracy (Df): 92.36213684082031
Method Execution Time: 3496.82 seconds
