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
1.5113	1.0	391	0.6311	0.8872	0.2184	0.2184	None
1.4198	2.0	782	0.6173	0.888	0.2174	0.2174	None
1.3504	3.0	1173	0.6219	0.8865	0.2197	0.2197	None
1.3012	4.0	1564	0.6110	0.889	0.2158	0.2158	None
1.2406	5.0	1955	0.6126	0.8878	0.2178	0.2178	None
1.2182	6.0	2346	0.6170	0.887	0.2190	0.2190	None
1.1771	7.0	2737	0.6090	0.8932	0.2091	0.2091	None
1.1553	8.0	3128	0.6175	0.891	0.2127	0.2127	None
1.1567	9.0	3519	0.6139	0.8892	0.2155	0.2155	None
1.1382	10.0	3910	0.6132	0.8938	0.2083	0.2083	None

jialicheng/unlearn-so_cifar100_resnet-50_random_label_8_42

42