metadata

library_name: transformers
base_model: yikuan8/Clinical-Longformer
tags:
  - generated_from_trainer
metrics:
  - f1
model-index:
  - name: finetuned_ClinicalLongformer_CAT_020425
    results: []

finetuned_ClinicalLongformer_CAT_020425

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: 0.0433
F1: 0.9939

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: 2e-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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.0142	1.0	424	0.0427	0.9912
0.0072	2.0	848	0.0433	0.9939

Framework versions

Transformers 4.48.0
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0