learning_rate: 0.0001
train_batch_size: 128
eval_batch_size: 256
seed: 87
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10

Training Loss	Epoch	Step	Validation Loss	Accuracy	Overall Accuracy	Unlearn Overall Accuracy	Time
No log	1.0	391	0.1660	0.974	0.2236	0.2236	None
0.6014	2.0	782	0.1685	0.975	0.2221	0.2221	None
0.5454	3.0	1173	0.1702	0.975	0.2222	0.2222	None
0.5282	4.0	1564	0.1562	0.9773	0.2185	0.2185	None
0.5282	5.0	1955	0.1543	0.9753	0.2217	0.2217	None
0.514	6.0	2346	0.1626	0.9703	0.2295	0.2295	None
0.4906	7.0	2737	0.1591	0.9683	0.2327	0.2327	None
0.4795	8.0	3128	0.1642	0.9657	0.2368	0.2368	None
0.4658	9.0	3519	0.1578	0.9637	0.2399	0.2399	None
0.4658	10.0	3910	0.1578	0.966	0.2363	0.2363	None

jialicheng/unlearn-so_cifar10_resnet-50_random_label_6_87

87