Czert -- Czech BERT-like Model for Language Representation

• URL: http://arxiv.org/abs/2103.13031v1
• Date: Wed, 24 Mar 2021 07:27:28 GMT
• Title: Czert -- Czech BERT-like Model for Language Representation
• Authors: Jakub Sido, Ond\v{r}ej Pra\v{z}\'ak, Pavel P\v{r}ib\'a\v{n}, Jan Pa\v{s}ek, Michal Sej\'ak, Miloslav Konop\'ik
• Abstract summary: This paper describes the training process of the first Czech monolingual language representation models based on BERT and ALBERT architectures. We pre-train our models on more than 340K of sentences, which is 50 times more than multilingual models that include Czech data.
• Score: 0.0
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: This paper describes the training process of the first Czech monolingual language representation models based on BERT and ALBERT architectures. We pre-train our models on more than 340K of sentences, which is 50 times more than multilingual models that include Czech data. We outperform the multilingual models on 7 out of 10 datasets. In addition, we establish the new state-of-the-art results on seven datasets. At the end, we discuss properties of monolingual and multilingual models based upon our results. We publish all the pre-trained and fine-tuned models freely for the research community.

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