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
0.2712	1.0	76	0.2593	0.8276
0.1771	2.0	152	0.3276	0.8414
0.1416	3.0	228	0.3443	0.8148
0.1379	4.0	304	0.4728	0.8235
0.1325	5.0	380	0.4142	0.8392
0.0675	6.0	456	0.4355	0.8451
0.0762	7.0	532	0.5132	0.8392
0.1273	8.0	608	0.4816	0.8511
0.0988	9.0	684	0.4780	0.8485
0.0014	10.0	760	0.4683	0.8633
0.0415	11.0	836	0.4841	0.8633
0.0005	12.0	912	0.5619	0.8451
0.0006	13.0	988	0.4830	0.8696
0.0086	14.0	1064	0.5202	0.8511
0.0009	15.0	1140	0.5262	0.8451

npark95/finetuned_ClinicalLongformer_random_2575

finetuned_ClinicalLongformer_random_2575