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 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) 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 (sub-task 2).
Evaluation and results
F1 Score: 0.9851 (average of 5 runs).
For evaluation details visit our GitHub repository.
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}
}