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: 15

Training Loss	Epoch	Step	Validation Loss	F1
0.5955	1.0	25	0.4497	0.88
0.4968	2.0	50	0.4056	0.9078
0.4323	3.0	75	0.3942	0.9286
0.3859	4.0	100	0.4318	0.9037
0.3287	5.0	125	0.4231	0.9130
0.3811	6.0	150	0.4103	0.9209
0.267	7.0	175	0.4821	0.9104
0.1595	8.0	200	0.6278	0.8939
0.2034	9.0	225	0.5937	0.9051
0.0837	10.0	250	0.7161	0.9065
0.1404	11.0	275	0.8732	0.8872
0.1493	12.0	300	0.8892	0.8872
0.1148	13.0	325	0.8537	0.8971
0.0328	14.0	350	0.8915	0.8788
0.1523	15.0	375	0.9008	0.8788

npark95/finetuned_ClinicalLongformer_original

finetuned_ClinicalLongformer_original