Add model cards for DeepPavlov models (#3138)
* add empty model cards for every current DeepPavlov model * fix: replace cyrillic `с` with `c` * docs: add model cards for current DeepPavlov BERT models * docs: add links for arXiv preprints
This commit is contained in:
1 parent
012cbdb0f5
commit
8a2d9bc9ef
6 files changed
+116
No files matched your search
@@ -0,0 +1,18 @@
|
||||
---
|
||||
language:
|
||||
- russian
|
||||
---
|
||||
|
||||
# rubert-base-cased-conversational
|
||||
|
||||
Conversational RuBERT \(Russian, cased, 12-layer, 768-hidden, 12-heads, 180M parameters\) was trained
|
||||
on OpenSubtitles\[1\], [Dirty](https://d3.ru/), [Pikabu](https://pikabu.ru/),
|
||||
and a Social Media segment of Taiga corpus\[2\]. We assembled a new vocabulary for Conversational RuBERT model
|
||||
on this data and initialized the model with [RuBERT](../rubert-base-cased).
|
||||
|
||||
|
||||
\[1\]: P. Lison and J. Tiedemann, 2016, OpenSubtitles2016: Extracting Large Parallel Corpora from Movie and TV Subtitles.
|
||||
In Proceedings of the 10th International Conference on Language Resources and Evaluation \(LREC 2016\)
|
||||
|
||||
\[2\]: Shavrina T., Shapovalova O. \(2017\) TO THE METHODOLOGY OF CORPUS CONSTRUCTION FOR MACHINE LEARNING:
|
||||
«TAIGA» SYNTAX TREE CORPUS AND PARSER. in proc. of “CORPORA2017”, international conference , Saint-Petersbourg, 2017.
|
||||
Reference in new issue
Block a user