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	0.1441	0.977	0.2189	0.2189	None
0.5375	2.0	782	0.1401	0.9735	0.2245	0.2245	None
0.4885	3.0	1173	0.1384	0.9805	0.2135	0.2135	None
0.4737	4.0	1564	0.1457	0.9715	0.2277	0.2277	None
0.4737	5.0	1955	0.1383	0.9715	0.2276	0.2276	None
0.4511	6.0	2346	0.1378	0.971	0.2285	0.2285	None
0.4362	7.0	2737	0.1382	0.9675	0.2339	0.2339	None
0.4182	8.0	3128	0.1463	0.963	0.2409	0.2409	None
0.4118	9.0	3519	0.1383	0.9695	0.2308	0.2308	None
0.4118	10.0	3910	0.1410	0.9645	0.2386	0.2386	None

jialicheng/unlearn-so_cifar10_resnet-50_random_label_4_42

42