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

📌S 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
7
hello
hello
Epoch [0], last_lr: 0.02000, train_loss: 0.0385, val_loss: 0.0959, val_acc: 97.0996
Epoch [1], last_lr: 0.02000, train_loss: 0.0389, val_loss: 0.0933, val_acc: 97.2949
Epoch [2], last_lr: 0.02000, train_loss: 0.0356, val_loss: 0.0891, val_acc: 97.3145
Epoch [3], last_lr: 0.02000, train_loss: 0.0304, val_loss: 0.0920, val_acc: 97.1680
Epoch [4], last_lr: 0.02000, train_loss: 0.0361, val_loss: 0.0897, val_acc: 97.2461
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: 97.24609375
Retain Accuracy: 99.19087219238281
Zero-Retain Forget (ZRF): 0.7739706039428711
Membership Inference Attack (MIA): 0.8444
Forget vs Retain Membership Inference Attack (MIA): 0.5215
Forget vs Test Membership Inference Attack (MIA): 0.4835
Test vs Retain Membership Inference Attack (MIA): 0.5205
Train vs Test Membership Inference Attack (MIA): 0.514
Forget Set Accuracy (Df): 98.05146789550781
Method Execution Time: 3995.30 seconds
