hello
hello

📌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
7
hello
hello
Epoch [0], last_lr: 0.02000, train_loss: 0.0387, val_loss: 0.0936, val_acc: 97.0605
Epoch [1], last_lr: 0.02000, train_loss: 0.0388, val_loss: 0.0881, val_acc: 97.2949
Epoch [2], last_lr: 0.02000, train_loss: 0.0338, val_loss: 0.0904, val_acc: 97.2461
Epoch [3], last_lr: 0.02000, train_loss: 0.0340, val_loss: 0.1030, val_acc: 96.8945
Epoch [4], last_lr: 0.02000, train_loss: 0.0321, val_loss: 0.1058, val_acc: 96.6992
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: 96.69921875
Retain Accuracy: 98.73588562011719
Zero-Retain Forget (ZRF): 0.7660983204841614
Membership Inference Attack (MIA): 0.8368
Forget vs Retain Membership Inference Attack (MIA): 0.535
Forget vs Test Membership Inference Attack (MIA): 0.51
Test vs Retain Membership Inference Attack (MIA): 0.52975
Train vs Test Membership Inference Attack (MIA): 0.5165
Forget Set Accuracy (Df): 97.47013092041016
Method Execution Time: 3976.36 seconds
