hello
hello
Labels

📌S Retain class distribution for seed 6:
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 6:
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
780909900
hello
hello
Epoch [0], last_lr: 0.02000, train_loss: 0.2673, val_loss: 0.8889, val_acc: 73.5840
Epoch [1], last_lr: 0.02000, train_loss: 0.2343, val_loss: 0.8524, val_acc: 76.2500
Epoch [2], last_lr: 0.02000, train_loss: 0.1337, val_loss: 0.8890, val_acc: 76.7188
Epoch [3], last_lr: 0.02000, train_loss: 0.1046, val_loss: 0.8756, val_acc: 78.1836
Epoch [4], last_lr: 0.02000, train_loss: 0.0619, val_loss: 0.8198, val_acc: 80.1660
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: 80.166015625
Retain Accuracy: 98.0849609375
Zero-Retain Forget (ZRF): 0.7360851764678955
Membership Inference Attack (MIA): 0.6666
Forget vs Retain Membership Inference Attack (MIA): 0.61
Forget vs Test Membership Inference Attack (MIA): 0.5005
Test vs Retain Membership Inference Attack (MIA): 0.61275
Train vs Test Membership Inference Attack (MIA): 0.59575
Forget Set Accuracy (Df): 87.18635559082031
Method Execution Time: 975.83 seconds
