hello
hello

📌S Retain class distribution for seed 2:
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

📌 Forget class distribution for seed 2:
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: 0.2266, val_loss: 0.2860, val_acc: 90.4297
Epoch [1], last_lr: 0.02000, train_loss: 0.2196, val_loss: 0.3081, val_acc: 90.0000
Epoch [2], last_lr: 0.02000, train_loss: 0.2122, val_loss: 0.3176, val_acc: 89.8438
Epoch [3], last_lr: 0.02000, train_loss: 0.2068, val_loss: 0.3022, val_acc: 90.3320
Epoch [4], last_lr: 0.02000, train_loss: 0.2031, val_loss: 0.3530, val_acc: 88.8086
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: 88.80859375
Retain Accuracy: 92.05548858642578
Zero-Retain Forget (ZRF): 0.8256459832191467
Membership Inference Attack (MIA): 0.3356
Forget vs Retain Membership Inference Attack (MIA): 0.515
Forget vs Test Membership Inference Attack (MIA): 0.5455
Test vs Retain Membership Inference Attack (MIA): 0.52175
Train vs Test Membership Inference Attack (MIA): 0.528
Forget Set Accuracy (Df): 89.37614440917969
Method Execution Time: 1075.21 seconds
