learning_rate: 1e-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: 20

Training Loss	Epoch	Step	Validation Loss	F1
0.5848	1.0	25	0.5680	0.8333
0.4637	2.0	50	0.5057	0.8333
0.3851	3.0	75	0.5439	0.8633
0.3559	4.0	100	0.5642	0.8806
0.2903	5.0	125	0.5273	0.875
0.3463	6.0	150	0.7850	0.8741
0.3455	7.0	175	0.6507	0.8788
0.1776	8.0	200	0.6855	0.8769
0.1864	9.0	225	0.9215	0.8593
0.1548	10.0	250	0.9744	0.8485
0.0926	11.0	275	1.0779	0.8485
0.0857	12.0	300	1.4990	0.8369
0.0822	13.0	325	1.2385	0.8485
0.0783	14.0	350	1.4154	0.8444
0.0876	15.0	375	1.4720	0.8444
0.0152	16.0	400	1.4362	0.8397
0.0079	17.0	425	1.6063	0.8406
0.027	18.0	450	1.6123	0.8382
0.0403	19.0	475	1.5967	0.8444
0.0046	20.0	500	1.6041	0.8444

npark95/finetuned_ClinicalLongformer_newData

finetuned_ClinicalLongformer_newData