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

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# finetuned_ClinicalLongformer_CAT_020425

This model is a fine-tuned version of [yikuan8/Clinical-Longformer](https://huggingface.co/yikuan8/Clinical-Longformer) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0446
- F1: 0.9932

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.0027        | 1.0   | 424  | 0.0446          | 0.9932 |
| 0.0079        | 2.0   | 848  | 0.0495          | 0.9918 |


### Framework versions

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