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
0.6886	1.0	12	0.7002	0.56
0.6558	2.0	24	0.6807	0.6087
0.6087	3.0	36	0.5738	0.7568
0.5527	4.0	48	0.5173	0.7647
0.3949	5.0	60	0.5088	0.6897
0.3269	6.0	72	0.5050	0.7222
0.3196	7.0	84	0.5267	0.6897
0.2235	8.0	96	0.5024	0.7333
0.1633	9.0	108	0.4877	0.7143
0.136	10.0	120	0.5723	0.6667
0.1101	11.0	132	0.6704	0.6429
0.0673	12.0	144	0.7958	0.6897
0.0795	13.0	156	0.8270	0.6154
0.0716	14.0	168	0.8288	0.5926
0.0297	15.0	180	0.9462	0.6154
0.0236	16.0	192	1.0562	0.56
0.2009	17.0	204	1.0884	0.6429
0.0298	18.0	216	1.1095	0.6429
0.0134	19.0	228	1.1237	0.5926
0.0147	20.0	240	1.1291	0.5926

npark95/finetuned_ClinicalLongformer_newData_undersampling

finetuned_ClinicalLongformer_newData_undersampling