learning_rate: 2e-05
train_batch_size: 8
eval_batch_size: 8
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: 3

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.4795	0.1018	100	0.1646	0.9680
0.2962	0.2037	200	0.3051	0.9451
0.145	0.3055	300	0.0977	0.9783
0.1013	0.4073	400	0.0962	0.9794
0.1147	0.5092	500	0.1666	0.9657
0.1772	0.6110	600	0.1542	0.9691
0.1423	0.7128	700	0.0671	0.9851
0.0614	0.8147	800	0.0869	0.9840
0.0935	0.9165	900	0.0599	0.9863
0.0608	1.0183	1000	0.1149	0.9805
0.0233	1.1202	1100	0.1006	0.9851
0.0825	1.2220	1200	0.3549	0.9359
0.0363	1.3238	1300	0.0660	0.9886
0.0411	1.4257	1400	0.1984	0.9737
0.0648	1.5275	1500	0.0545	0.9863
0.0483	1.6293	1600	0.0737	0.9886
0.0256	1.7312	1700	0.1071	0.9851
0.0195	1.8330	1800	0.1365	0.9805

emmajin0210/fine_tuned_main_raid_cleaned

fine_tuned_main_raid_cleaned