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	0.1955	0.8828	0.3565	0.3565	None
0.6694	2.0	782	0.1931	0.8808	0.3593	0.3593	None
0.6037	3.0	1173	0.1852	0.8848	0.3539	0.3539	None
0.5843	4.0	1564	0.1874	0.8825	0.3572	0.3572	None
0.5843	5.0	1955	0.1823	0.8948	0.3405	0.3405	None
0.5619	6.0	2346	0.1812	0.8868	0.3515	0.3515	None
0.5482	7.0	2737	0.1840	0.8848	0.3542	0.3542	None
0.5404	8.0	3128	0.1818	0.8972	0.3371	0.3371	None
0.535	9.0	3519	0.1800	0.9005	0.3326	0.3326	None
0.535	10.0	3910	0.1783	0.8858	0.3529	0.3529	None

jialicheng/unlearn-so_cifar10_resnet-50_salun_8_13

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