|
--- |
|
language: |
|
- es |
|
license: apache-2.0 |
|
tags: |
|
- "national library of spain" |
|
- "spanish" |
|
- "bne" |
|
- "capitel" |
|
- "pos" |
|
datasets: |
|
- "bne" |
|
- "capitel" |
|
metrics: |
|
- "f1" |
|
widget: |
|
- text: "Festival de San Sebastián: Johnny Depp recibirá el premio Donostia en pleno rifirrafe judicial con Amber Heard" |
|
- text: "El alcalde de Vigo, Abel Caballero, ha comenzado a colocar las luces de Navidad en agosto." |
|
- text: "Gracias a los datos de la BNE, se ha podido lograr este modelo del lenguaje." |
|
- text: "El Tribunal Superior de Justicia se pronunció ayer: \"Hay base legal dentro del marco jurídico actual\"." |
|
|
|
--- |
|
|
|
**⚠️NOTICE⚠️: THIS MODEL HAS BEEN MOVED TO THE FOLLOWING URL AND WILL SOON BE REMOVED:** https://huggingface.co/PlanTL-GOB-ES/roberta-large-bne-capitel-pos |
|
|
|
# Spanish RoBERTa-large trained on BNE finetuned for CAPITEL Part of Speech (POS) dataset |
|
RoBERTa-large-bne is a transformer-based masked language model for the Spanish language. It is based on the [RoBERTa](https://arxiv.org/abs/1907.11692) large model and has been pre-trained using the largest Spanish corpus known to date, with a total of 570GB of clean and deduplicated text processed for this work, compiled from the web crawlings performed by the [National Library of Spain (Biblioteca Nacional de España)](http://www.bne.es/en/Inicio/index.html) from 2009 to 2019. |
|
|
|
Original pre-trained model can be found here: https://huggingface.co/BSC-TeMU/roberta-large-bne |
|
|
|
## Dataset |
|
The dataset used is the one from the [CAPITEL competition at IberLEF 2020](https://sites.google.com/view/capitel2020) (sub-task 2). |
|
|
|
## Evaluation and results |
|
F1 Score: 0.9851 (average of 5 runs). |
|
|
|
For evaluation details visit our [GitHub repository](https://github.com/PlanTL-SANIDAD/lm-spanish). |
|
|
|
|
|
## Citing |
|
Check out our paper for all the details: https://arxiv.org/abs/2107.07253 |
|
``` |
|
@misc{gutierrezfandino2021spanish, |
|
title={Spanish Language Models}, |
|
author={Asier Gutiérrez-Fandiño and Jordi Armengol-Estapé and Marc Pàmies and Joan Llop-Palao and Joaquín Silveira-Ocampo and Casimiro Pio Carrino and Aitor Gonzalez-Agirre and Carme Armentano-Oller and Carlos Rodriguez-Penagos and Marta Villegas}, |
|
year={2021}, |
|
eprint={2107.07253}, |
|
archivePrefix={arXiv}, |
|
primaryClass={cs.CL} |
|
} |
|
``` |
