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	0.1931	0.9785	0.2166	0.2166	None
0.6606	2.0	782	0.1927	0.9755	0.2212	0.2212	None
0.5976	3.0	1173	0.1907	0.9738	0.2241	0.2241	None
0.5781	4.0	1564	0.1843	0.977	0.2190	0.2190	None
0.5781	5.0	1955	0.1812	0.9765	0.2198	0.2198	None
0.5594	6.0	2346	0.1886	0.9765	0.2198	0.2198	None
0.5423	7.0	2737	0.1824	0.972	0.2269	0.2269	None
0.5271	8.0	3128	0.1821	0.9712	0.2281	0.2281	None
0.513	9.0	3519	0.1756	0.9712	0.2281	0.2281	None
0.513	10.0	3910	0.1790	0.9702	0.2297	0.2297	None

jialicheng/unlearn-so_cifar10_resnet-50_random_label_8_87

87