learning_rate: 5e-05
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
1.6195	1.0	391	0.6542	0.8846	0.2226	0.2226	None
1.4807	2.0	782	0.6457	0.883	0.2251	0.2251	None
1.3938	3.0	1173	0.6351	0.8864	0.2198	0.2198	None
1.3415	4.0	1564	0.6399	0.8846	0.2227	0.2227	None
1.2761	5.0	1955	0.6469	0.885	0.2220	0.2220	None
1.2686	6.0	2346	0.6436	0.8872	0.2186	0.2186	None
1.2223	7.0	2737	0.6435	0.8888	0.2161	0.2161	None
1.2285	8.0	3128	0.6438	0.8884	0.2168	0.2168	None
1.2026	9.0	3519	0.6395	0.8878	0.2178	0.2178	None
1.1643	10.0	3910	0.6399	0.89	0.2143	0.2143	None

jialicheng/unlearn-so_cifar100_resnet-50_random_label_10_42

42