learning_rate: 0.0001
train_batch_size: 128
eval_batch_size: 256
seed: 13
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	0.1334	0.869	0.3748	0.3748	None
0.4571	2.0	782	0.1221	0.89	0.3470	0.3470	None
0.4238	3.0	1173	0.1230	0.882	0.3577	0.3577	None
0.4093	4.0	1564	0.1232	0.885	0.3537	0.3537	None
0.4093	5.0	1955	0.1193	0.876	0.3659	0.3659	None
0.3894	6.0	2346	0.1253	0.884	0.3551	0.3551	None
0.3833	7.0	2737	0.1201	0.865	0.3806	0.3806	None
0.3753	8.0	3128	0.1170	0.884	0.3553	0.3553	None
0.3648	9.0	3519	0.1168	0.877	0.3646	0.3646	None
0.3648	10.0	3910	0.1194	0.877	0.3647	0.3647	None

jialicheng/unlearn-so_cifar10_resnet-50_salun_2_13

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