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	0.1940	0.8825	0.3568	0.3568	None
0.6645	2.0	782	0.1779	0.877	0.3643	0.3643	None
0.6021	3.0	1173	0.1777	0.8888	0.3487	0.3487	None
0.5809	4.0	1564	0.1821	0.891	0.3456	0.3456	None
0.5809	5.0	1955	0.1829	0.889	0.3484	0.3484	None
0.5675	6.0	2346	0.1796	0.8865	0.3517	0.3517	None
0.5504	7.0	2737	0.1744	0.8938	0.3419	0.3419	None
0.5388	8.0	3128	0.1845	0.8972	0.3370	0.3370	None
0.5282	9.0	3519	0.1849	0.8908	0.3459	0.3459	None
0.5282	10.0	3910	0.1809	0.8938	0.3418	0.3418	None

jialicheng/unlearn-so_cifar10_resnet-50_salun_8_42

42