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XLM_R_Galen-caresC

Text Classification
Transformers
PyTorch
Spanish
xlm-roberta
biomedical
clinical
spanish
XLM_R_Galen
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XLM_R_Galen-caresC
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---
language: es
tags:
- biomedical
- clinical
- spanish
- XLM_R_Galen
license: mit
datasets:
- "chizhikchi/CARES"
metrics:
- f1

model-index:
- name: IIC/XLM_R_Galen-caresC
  results:
  - task:
      type: multi-label-classification
    dataset:
      name: Cares Chapters
      type: chizhikchi/CARES
      split: test
    metrics:
      - name: f1
        type: f1
        value: 0.823
pipeline_tag: text-classification

---

# XLM_R_Galen-caresC

This model is a finetuned version of XLM_R_Galen for the Cares Chapters dataset used in a benchmark in the paper TODO. The model has a F1 of 0.823

Please refer to the original publication for more information TODO LINK

## Parameters used

| parameter               | Value |
|-------------------------|:-----:|
| batch size              |  16   |
| learning rate           | 4e-05  |
| classifier dropout      |  0   |
| warmup ratio            |   0   |
| warmup steps            |   0   |
| weight decay            |   0   |
| optimizer               | AdamW |
| epochs                  |   10  |
| early stopping patience |   3   |


## BibTeX entry and citation info

```bibtex
TODO
```