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	0.1432	0.872	0.3709	0.3709	None
0.5383	2.0	782	0.1479	0.8765	0.3650	0.3650	None
0.5029	3.0	1173	0.1489	0.885	0.3536	0.3536	None
0.4782	4.0	1564	0.1396	0.884	0.3552	0.3552	None
0.4782	5.0	1955	0.1358	0.8815	0.3585	0.3585	None
0.4591	6.0	2346	0.1391	0.883	0.3566	0.3566	None
0.4473	7.0	2737	0.1377	0.8795	0.3613	0.3613	None
0.4419	8.0	3128	0.1341	0.9	0.3333	0.3333	None
0.426	9.0	3519	0.1338	0.88	0.3606	0.3606	None
0.426	10.0	3910	0.1343	0.8935	0.3423	0.3423	None

jialicheng/unlearn-so_cifar10_resnet-50_salun_4_21

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