learning_rate: 5e-05
train_batch_size: 128
eval_batch_size: 256
seed: 87
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
1.5267	1.0	391	0.6305	0.891	0.2125	0.2125	None
1.4243	2.0	782	0.6124	0.8865	0.2198	0.2198	None
1.3503	3.0	1173	0.6155	0.8825	0.2261	0.2261	None
1.2669	4.0	1564	0.6208	0.888	0.2175	0.2175	None
1.2617	5.0	1955	0.6155	0.8848	0.2226	0.2226	None
1.2164	6.0	2346	0.6215	0.8885	0.2167	0.2167	None
1.1862	7.0	2737	0.6182	0.8862	0.2202	0.2202	None
1.1484	8.0	3128	0.6115	0.8912	0.2122	0.2122	None
1.1833	9.0	3519	0.6139	0.8915	0.2119	0.2119	None
1.1454	10.0	3910	0.6124	0.8892	0.2155	0.2155	None

jialicheng/unlearn-so_cifar100_resnet-50_random_label_8_87

87