learning_rate: 0.0001
train_batch_size: 128
eval_batch_size: 256
seed: 21
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	0.1371	0.978	0.2173	0.2173	None
0.4575	2.0	782	0.1261	0.979	0.2158	0.2158	None
0.4293	3.0	1173	0.1245	0.973	0.2253	0.2253	None
0.4095	4.0	1564	0.1225	0.975	0.2222	0.2222	None
0.4095	5.0	1955	0.1203	0.972	0.2269	0.2269	None
0.3879	6.0	2346	0.1248	0.968	0.2332	0.2332	None
0.3652	7.0	2737	0.1197	0.971	0.2285	0.2285	None
0.3617	8.0	3128	0.1200	0.967	0.2348	0.2348	None
0.347	9.0	3519	0.1194	0.964	0.2394	0.2394	None
0.347	10.0	3910	0.1195	0.967	0.2348	0.2348	None

jialicheng/unlearn-so_cifar10_resnet-50_random_label_2_21

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