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--- |
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language: |
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- es |
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license: apache-2.0 |
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tags: |
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- "national library of spain" |
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- "spanish" |
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- "bne" |
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- "qa" |
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- "question answering" |
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datasets: |
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- "BSC-TeMU/SQAC" |
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metrics: |
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- "f1" |
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--- |
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**⚠️NOTICE⚠️: THIS MODEL HAS BEEN MOVED TO THE FOLLOWING URL AND WILL SOON BE REMOVED:** https://huggingface.co/PlanTL-GOB-ES/roberta-large-bne-sqac |
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# Spanish RoBERTa-large trained on BNE finetuned for Spanish Question Answering Corpus (SQAC) dataset. |
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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. |
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Original pre-trained model can be found here: https://huggingface.co/BSC-TeMU/roberta-large-bne |
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## Dataset |
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The dataset used is the [SQAC corpus](https://huggingface.co/datasets/BSC-TeMU/SQAC). |
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## Evaluation and results |
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F1 Score: 0.7993 (average of 5 runs). |
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For evaluation details visit our [GitHub repository](https://github.com/PlanTL-SANIDAD/lm-spanish). |
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## Citing |
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Check out our paper for all the details: https://arxiv.org/abs/2107.07253 |
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``` |
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@misc{gutierrezfandino2021spanish, |
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title={Spanish Language Models}, |
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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}, |
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year={2021}, |
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eprint={2107.07253}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CL} |
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} |
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``` |
