hello
hello

📌S Retain class distribution for seed 8:
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 8:
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: 0.00010, train_loss: 0.6666, val_loss: 0.2216, val_acc: 95.9766
Epoch [1], last_lr: 0.00010, train_loss: 0.5810, val_loss: 0.2073, val_acc: 95.8594
Epoch [2], last_lr: 0.00010, train_loss: 0.5394, val_loss: 0.2022, val_acc: 96.0645
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: 96.064453125
Retain Accuracy: 97.71875
Zero-Retain Forget (ZRF): 0.9461936950683594
Membership Inference Attack (MIA): 0.578
Forget vs Retain Membership Inference Attack (MIA): 0.5085
Forget vs Test Membership Inference Attack (MIA): 0.6045
Test vs Retain Membership Inference Attack (MIA): 0.51875
Train vs Test Membership Inference Attack (MIA): 0.51425
Forget Set Accuracy (Df): 92.43795776367188
Method Execution Time: 3516.63 seconds
