metadata

language:
  - ru
  - uk
  - be
  - kk
  - az
  - hy
  - ka
  - he
  - en
  - de
tags:
  - language classification
  - text segmentation
datasets:
  - open_subtitles
  - tatoeba
  - oscar

RoBERTa for Multilabel Language Segmentation

Training

RoBERTa fine-tuned on small parts of Open Subtitles, Oscar and Tatoeba datasets (~9k samples per language).

Implemented heuristic algorithm for multilingual training data creation with generation of target masks- https://github.com/n1kstep/lang-classifier

data source	language
open_subtitles	ka, he, en, de
oscar	be, kk, az, hu
tatoeba	ru, uk

Validation

The metrics obtained from validation on the another part of dataset (~1k samples per language).

Validation Loss	Precision	Recall	F1-Score	Accuracy
0.029172	0.919623	0.933586	0.926552	0.991883