learning_rate: 0.0001
train_batch_size: 128
eval_batch_size: 256
seed: 42
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	0.1310	0.865	0.3802	0.3802	None
0.4612	2.0	782	0.1229	0.88	0.3604	0.3604	None
0.4278	3.0	1173	0.1256	0.864	0.3816	0.3816	None
0.4101	4.0	1564	0.1224	0.881	0.3592	0.3592	None
0.4101	5.0	1955	0.1182	0.874	0.3686	0.3686	None
0.3907	6.0	2346	0.1187	0.884	0.3553	0.3553	None
0.3811	7.0	2737	0.1145	0.866	0.3791	0.3791	None
0.3695	8.0	3128	0.1170	0.874	0.3687	0.3687	None
0.3637	9.0	3519	0.1159	0.896	0.3389	0.3389	None
0.3637	10.0	3910	0.1165	0.886	0.3525	0.3525	None

jialicheng/unlearn-so_cifar10_resnet-50_salun_2_42

42