finetuned_ClinicalLongformer_random_5050

This model is a fine-tuned version of yikuan8/Clinical-Longformer on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.3124
• F1: 0.8992

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• 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 results

Training Loss	Epoch	Step	Validation Loss	F1
0.6667	1.0	38	0.3774	0.8613
0.4333	2.0	76	0.3208	0.8676
0.4024	3.0	114	0.3124	0.8992
0.319	4.0	152	0.5367	0.7184
0.2347	5.0	190	0.3385	0.8992
0.1998	6.0	228	0.3858	0.8992
0.1512	7.0	266	0.4332	0.8906
0.1859	8.0	304	0.6245	0.8235
0.2098	9.0	342	0.7375	0.8403
0.1417	10.0	380	0.5302	0.8976
0.0988	11.0	418	0.6191	0.88
0.0744	12.0	456	0.5868	0.8976
0.0084	13.0	494	0.6584	0.88
0.0135	14.0	532	0.6600	0.8889
0.0492	15.0	570	0.6501	0.8889

Framework versions

• Transformers 4.48.0
• Pytorch 2.5.1+cu124
• Datasets 3.2.0
• Tokenizers 0.21.0