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XLM_R_Galen-nubes

Token Classification
Transformers
PyTorch
Spanish
xlm-roberta
text-classification
biomedical
clinical
spanish
XLM_R_Galen
Eval Results
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XLM_R_Galen-nubes
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---
language: es
tags:
- biomedical
- clinical
- spanish
- XLM_R_Galen
license: mit
datasets:
- "plncmm/nubes"
metrics:
- f1

model-index:
- name: IIC/XLM_R_Galen-nubes
  results:
  - task:
      type: token-classification
    dataset:
      name: nubes
      type: plncmm/nubes
      split: test
    metrics:
      - name: f1
        type: f1
        value: 0.908
pipeline_tag: token-classification

---

# XLM_R_Galen-nubes

This model is a finetuned version of XLM_R_Galen for the nubes dataset used in a benchmark in the paper TODO. The model has a F1 of 0.908

Please refer to the original publication for more information TODO LINK

## Parameters used

| parameter               | Value |
|-------------------------|:-----:|
| batch size              |  16   |
| learning rate           | 3e-05  |
| classifier dropout      |  0.2   |
| warmup ratio            |   0   |
| warmup steps            |   0   |
| weight decay            |   0   |
| optimizer               | AdamW |
| epochs                  |   10  |
| early stopping patience |   3   |


## BibTeX entry and citation info

```bibtex
TODO
```