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	0.2005	0.9766	0.2196	0.2196	None
0.7173	2.0	782	0.2098	0.9748	0.2224	0.2224	None
0.6431	3.0	1173	0.2092	0.978	0.2174	0.2174	None
0.6241	4.0	1564	0.2140	0.9754	0.2214	0.2214	None
0.6241	5.0	1955	0.2068	0.972	0.2268	0.2268	None
0.6009	6.0	2346	0.2006	0.9736	0.2244	0.2244	None
0.5825	7.0	2737	0.1960	0.973	0.2253	0.2253	None
0.5699	8.0	3128	0.2028	0.9722	0.2266	0.2266	None
0.5549	9.0	3519	0.1994	0.9698	0.2303	0.2303	None
0.5549	10.0	3910	0.1979	0.9708	0.2288	0.2288	None

jialicheng/unlearn-so_cifar10_resnet-50_random_label_10_87

87