---
language:
- russian
---

# rubert-base-cased-sentence

Sentence RuBERT \(Russian, cased, 12-layer, 768-hidden, 12-heads, 180M parameters\)
is a representation-based sentence encoder for Russian. It is initialized with RuBERT and fine-tuned on SNLI\[1\]
google-translated to russian and on russian part of XNLI dev set\[2\]. Sentence representations are mean pooled
token embeddings in the same manner as in Sentence-BERT\[3\].


\[1\]: S. R. Bowman, G. Angeli, C. Potts, and C. D. Manning. \(2015\) A large annotated corpus for learning
natural language inference. arXiv preprint [arXiv:1508.05326](https://arxiv.org/abs/1508.05326)

\[2\]: Williams A., Bowman S. \(2018\) XNLI: Evaluating Cross-lingual Sentence Representations.
arXiv preprint [arXiv:1809.05053](https://arxiv.org/abs/1809.05053)

\[3\]: N. Reimers, I. Gurevych \(2019\) Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.
arXiv preprint [arXiv:1908.10084](https://arxiv.org/abs/1908.10084)
