roberta-eus-euscrawl-large-cased

Roberta-eus Euscrawl large cased

This is a RoBERTa model for Basque model presented in Does corpus quality really matter for low-resource languages?. There are several models for Basque using the RoBERTa architecture, using different corpora:

• roberta-eus-euscrawl-base-cased: Basque RoBERTa model trained on Euscrawl, a corpus created using tailored crawling from Basque sites. EusCrawl contains 12,528k documents and 423M tokens.
• roberta-eus-euscrawl-large-cased: RoBERTa large trained on EusCrawl.
• roberta-eus-mC4-base-cased: Basque RoBERTa model trained on the Basque portion of mc4 dataset.
• roberta-eus-CC100-base-cased: Basque RoBERTa model trained on Basque portion of cc100 dataset.

The models have been tested on five different downstream tasks for Basque: Topic classification, Sentiment analysis, Stance detection, Named Entity Recognition (NER), and Question Answering (refer to the paper for more details). See summary of results below:

If you use any of these models, please cite the following paper:

@misc{artetxe2022euscrawl,
 title={Does corpus quality really matter for low-resource languages?},
 author={Mikel Artetxe, Itziar Aldabe, Rodrigo Agerri,
         Olatz Perez-de-Viñaspre, Aitor Soroa},
 year={2022},
 eprint={2203.08111},
 archivePrefix={arXiv},
 primaryClass={cs.CL}
}