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
1.6219	1.0	391	0.6482	0.7448	0.4186	0.4186	None
1.5152	2.0	782	0.6377	0.736	0.4293	0.4293	None
1.4346	3.0	1173	0.6306	0.7296	0.4373	0.4373	None
1.3893	4.0	1564	0.6264	0.7418	0.4225	0.4225	None
1.3278	5.0	1955	0.6368	0.7274	0.4401	0.4401	None
1.2947	6.0	2346	0.6288	0.7394	0.4259	0.4259	None
1.2745	7.0	2737	0.6356	0.7368	0.4288	0.4288	None
1.2674	8.0	3128	0.6376	0.7364	0.4295	0.4295	None
1.2582	9.0	3519	0.6358	0.7342	0.4320	0.4320	None
1.2343	10.0	3910	0.6356	0.7326	0.4341	0.4341	None

jialicheng/unlearn-so_cifar100_resnet-50_salun_10_42

42