The RoBERTa model was originally introduced in this paper. This is a smaller version of RoBERTa-base-bulgarian with only 6 hidden layers, but similar performance.

This model can be used for cloze tasks (masked language modeling) or finetuned on other tasks in Bulgarian.

The training data is unfiltered text from the internet and may contain all sorts of biases.

This model was trained on the following data:

The model was pretrained using a masked language-modeling objective with dynamic masking as described here

It was trained for 160k steps. The batch size was limited to 8 due to GPU memory limitations.