hello
hello

📌S Retain class distribution for seed 4:
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 4:
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: 0.0414, val_loss: 0.0985, val_acc: 96.8555
Epoch [1], last_lr: 0.02000, train_loss: 0.0376, val_loss: 0.0898, val_acc: 97.3242
Epoch [2], last_lr: 0.02000, train_loss: 0.0338, val_loss: 0.0935, val_acc: 97.2363
Epoch [3], last_lr: 0.02000, train_loss: 0.0361, val_loss: 0.1121, val_acc: 96.6309
Epoch [4], last_lr: 0.02000, train_loss: 0.0339, val_loss: 0.0939, val_acc: 97.0996
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: 97.099609375
Retain Accuracy: 99.21147155761719
Zero-Retain Forget (ZRF): 0.7655865550041199
Membership Inference Attack (MIA): 0.8606
Forget vs Retain Membership Inference Attack (MIA): 0.526
Forget vs Test Membership Inference Attack (MIA): 0.503
Test vs Retain Membership Inference Attack (MIA): 0.5185
Train vs Test Membership Inference Attack (MIA): 0.51275
Forget Set Accuracy (Df): 98.203125
Method Execution Time: 3964.49 seconds
