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---
language: es
tags:
- biomedical
- clinical
- spanish
- roberta-large-bne
license: apache-2.0
datasets:
- "lcampillos/ctebmsp"
metrics:
- f1
model-index:
- name: IIC/roberta-large-bne-ctebmsp
results:
- task:
type: token-classification
dataset:
name: CT-EBM-SP (Clinical Trials for Evidence-based Medicine in Spanish)
type: lcampillos/ctebmsp
split: test
metrics:
- name: f1
type: f1
value: 0.877
pipeline_tag: token-classification
---
# roberta-large-bne-ctebmsp
This model is a finetuned version of roberta-large-bne for the CT-EBM-SP (Clinical Trials for Evidence-based Medicine in Spanish) dataset used in a benchmark in the paper `A comparative analysis of Spanish Clinical encoder-based models on NER and classification tasks`. The model has a F1 of 0.877
Please refer to the [original publication](https://doi.org/10.1093/jamia/ocae054) for more information.
## Parameters used
| parameter | Value |
|-------------------------|:-----:|
| batch size | 64 |
| learning rate | 2e-05 |
| classifier dropout | 0.1 |
| warmup ratio | 0 |
| warmup steps | 0 |
| weight decay | 0 |
| optimizer | AdamW |
| epochs | 10 |
| early stopping patience | 3 |
## BibTeX entry and citation info
```bibtext
@article{10.1093/jamia/ocae054,
author = {García Subies, Guillem and Barbero Jiménez, Álvaro and Martínez Fernández, Paloma},
title = {A comparative analysis of Spanish Clinical encoder-based models on NER and classification tasks},
journal = {Journal of the American Medical Informatics Association},
volume = {31},
number = {9},
pages = {2137-2146},
year = {2024},
month = {03},
issn = {1527-974X},
doi = {10.1093/jamia/ocae054},
url = {https://doi.org/10.1093/jamia/ocae054},
}
```
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