hello
hello

📌 S Retain class distribution for seed 5:
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 5:
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: 0.2871, val_loss: 0.3760, val_acc: 87.7832
Epoch [1], last_lr: 0.02000, train_loss: 0.2806, val_loss: 0.3266, val_acc: 89.0527
Epoch [2], last_lr: 0.02000, train_loss: 0.2741, val_loss: 0.3449, val_acc: 88.0762
Epoch [3], last_lr: 0.02000, train_loss: 0.2692, val_loss: 0.3417, val_acc: 88.3398
Epoch [4], last_lr: 0.02000, train_loss: 0.2568, val_loss: 0.3553, val_acc: 87.9004
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: 87.900390625
Retain Accuracy: 90.68705749511719
Zero-Retain Forget (ZRF): 0.8402390480041504
Membership Inference Attack (MIA): 0.3688
Forget vs Retain Membership Inference Attack (MIA): 0.506
Forget vs Test Membership Inference Attack (MIA): 0.543
Test vs Retain Membership Inference Attack (MIA): 0.5065
Train vs Test Membership Inference Attack (MIA): 0.514
Forget Set Accuracy (Df): 89.29342651367188
Method Execution Time: 620.00 seconds
