hello
hello

📌S Retain class distribution for seed 9:
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 9:
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: 0.02000, train_loss: 0.0389, val_loss: 0.0891, val_acc: 97.3242
Epoch [1], last_lr: 0.02000, train_loss: 0.0381, val_loss: 0.0924, val_acc: 97.2656
Epoch [2], last_lr: 0.02000, train_loss: 0.0343, val_loss: 0.0822, val_acc: 97.5488
Epoch [3], last_lr: 0.02000, train_loss: 0.0309, val_loss: 0.0838, val_acc: 97.4902
Epoch [4], last_lr: 0.02000, train_loss: 0.0371, val_loss: 0.1161, val_acc: 96.4648
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: 96.46484375
Retain Accuracy: 98.61381530761719
Zero-Retain Forget (ZRF): 0.7773503661155701
Membership Inference Attack (MIA): 0.147
Forget vs Retain Membership Inference Attack (MIA): 0.5345
Forget vs Test Membership Inference Attack (MIA): 0.4835
Test vs Retain Membership Inference Attack (MIA): 0.512
Train vs Test Membership Inference Attack (MIA): 0.51425
Forget Set Accuracy (Df): 97.89521789550781
Method Execution Time: 3928.92 seconds
