Robeczech: Czech Roberta, A Monolingual Contextualized Language Representation Model

Milan Straka, Jakub Náplava, Jana Straková, David Samuel. Arxiv 2021 – 19 citations

[Paper]    
Training Techniques Transformer Model Architecture BERT

We present RobeCzech, a monolingual RoBERTa language representation model trained on Czech data. RoBERTa is a robustly optimized Transformer-based pretraining approach. We show that RobeCzech considerably outperforms equally-sized multilingual and Czech-trained contextualized language representation models, surpasses current state of the art in all five evaluated NLP tasks and reaches state-of-the-art results in four of them. The RobeCzech model is released publicly at https://hdl.handle.net/11234/1-3691 and https://huggingface.co/ufal/robeczech-base.

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