Spanish Pre-trained BERT Model and Evaluation Data

• URL: http://arxiv.org/abs/2308.02976v1
• Date: Sun, 6 Aug 2023 00:16:04 GMT
• Title: Spanish Pre-trained BERT Model and Evaluation Data
• Authors: Jos\'e Ca\~nete, Gabriel Chaperon, Rodrigo Fuentes, Jou-Hui Ho, Hojin Kang and Jorge P\'erez
• Abstract summary: We present a BERT-based language model pre-trained exclusively on Spanish data. We also compiled several tasks specifically for the Spanish language in a single repository. We have publicly released our model, the pre-training data, and the compilation of the Spanish benchmarks.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: The Spanish language is one of the top 5 spoken languages in the world. Nevertheless, finding resources to train or evaluate Spanish language models is not an easy task. In this paper we help bridge this gap by presenting a BERT-based language model pre-trained exclusively on Spanish data. As a second contribution, we also compiled several tasks specifically for the Spanish language in a single repository much in the spirit of the GLUE benchmark. By fine-tuning our pre-trained Spanish model, we obtain better results compared to other BERT-based models pre-trained on multilingual corpora for most of the tasks, even achieving a new state-of-the-art on some of them. We have publicly released our model, the pre-training data, and the compilation of the Spanish benchmarks.

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