readme: ---
  language: bg
  ---
  
  # RoBERTa-base-bulgarian
  
  
  The RoBERTa model was originally introduced in [this paper](https://arxiv.org/abs/1907.11692). This is a version of [RoBERTa-base](https://huggingface.co/roberta-base) pretrained on Bulgarian text.
  
  ## Intended uses
  
  This model can be used for cloze tasks (masked language modeling) or finetuned on other tasks in Bulgarian.
  
  ## Limitations and bias
  
  The training data is unfiltered text from the internet and may contain all sorts of biases.
  
  ## Training data
  
  This model was trained on the following data:
  - [bg_dedup from OSCAR](https://oscar-corpus.com/)
  - [Newscrawl 1 million sentences 2017 from Leipzig Corpora Collection](https://wortschatz.uni-leipzig.de/en/download/bulgarian)
  - [Wikipedia 1 million sentences 2016 from Leipzig Corpora Collection](https://wortschatz.uni-leipzig.de/en/download/bulgarian)
  
  ## Training procedure
  
  The model was pretrained using a masked language-modeling objective with dynamic masking as described [here](https://huggingface.co/roberta-base#preprocessing)
  
  It was trained for 200k steps. The batch size was limited to 8 due to GPU memory limitations.
  