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--- |
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language: eu |
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license: cc-by-nc-4.0 |
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tags: |
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- basque |
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- roberta |
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--- |
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# Roberta-eus mc4 base cased |
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This is a RoBERTa model for Basque model presented in [Does corpus quality really matter for low-resource languages?](https://arxiv.org/abs/2203.08111). There are several models for Basque using the RoBERTa architecture, using different corpora: |
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- 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. |
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- roberta-eus-euscrawl-large-cased: RoBERTa large trained on EusCrawl. |
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- roberta-eus-mC4-base-cased: Basque RoBERTa model trained on the Basque portion of mc4 dataset. |
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- roberta-eus-CC100-base-cased: Basque RoBERTa model trained on Basque portion of cc100 dataset. |
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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](https://arxiv.org/abs/2203.08111) for more details). See summary of results below: |
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| Model | Topic class. | Sentiment | Stance det. | NER | QA | Average | |
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|----------------------------------|--------------|-----------|-------------|----------|----------|----------| |
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| roberta-eus-euscrawl-base-cased | 76.2 | 77.7 | 57.4 | 86.8 | 34.6 | 66.5 | |
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| roberta-eus-euscrawl-large-cased | **77.6** | 78.8 | 62.9 | **87.2** | **38.3** | **69.0** | |
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| roberta-eus-mC4-base-cased | 75.3 | **80.4** | 59.1 | 86.0 | 35.2 | 67.2 | |
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| roberta-eus-CC100-base-cased | 76.2 | 78.8 | **63.4** | 85.2 | 35.8 | 67.9 | |
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If you use any of these models, please cite the following paper: |
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``` |
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@misc{artetxe2022euscrawl, |
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title={Does corpus quality really matter for low-resource languages?}, |
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author={Mikel Artetxe, Itziar Aldabe, Rodrigo Agerri, |
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Olatz Perez-de-Viñaspre, Aitor Soroa}, |
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year={2022}, |
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eprint={2203.08111}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CL} |
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} |
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``` |
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