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	0.2151	0.973	0.2252	0.2252	None
0.7082	2.0	782	0.2081	0.9724	0.2261	0.2261	None
0.6429	3.0	1173	0.2057	0.9784	0.2167	0.2167	None
0.6254	4.0	1564	0.2019	0.9788	0.2161	0.2161	None
0.6254	5.0	1955	0.1954	0.9762	0.2203	0.2203	None
0.6017	6.0	2346	0.1981	0.9776	0.2180	0.2180	None
0.5814	7.0	2737	0.1958	0.9744	0.2232	0.2232	None
0.5656	8.0	3128	0.2003	0.9722	0.2266	0.2266	None
0.5541	9.0	3519	0.1950	0.9722	0.2266	0.2266	None
0.5541	10.0	3910	0.1962	0.9716	0.2276	0.2276	None

jialicheng/unlearn-so_cifar10_resnet-50_random_label_10_42

42