learning_rate: 8e-06
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: 15

Training Loss	Epoch	Step	Validation Loss	F1
0.0807	1.0	189	0.2094	0.7681
0.2059	2.0	378	0.1441	0.8296
0.0632	3.0	567	0.1467	0.8633
0.0194	4.0	756	0.1497	0.8592
0.0751	5.0	945	0.1559	0.8671
0.0723	6.0	1134	0.1708	0.8732
0.0007	7.0	1323	0.1601	0.8777
0.0231	8.0	1512	0.1852	0.8652
0.1065	9.0	1701	0.1886	0.8633
0.0519	10.0	1890	0.1812	0.8714
0.0259	11.0	2079	0.1956	0.8696
0.0697	12.0	2268	0.1921	0.8714
0.0271	13.0	2457	0.2098	0.8551
0.0073	14.0	2646	0.2109	0.8551
0.0002	15.0	2835	0.2142	0.8551

npark95/finetuned_ClinicalLongformer_random_1090

finetuned_ClinicalLongformer_random_1090