readme: ---
  language:
  - ru
  - uk
  - be
  - kk
  - az
  - hy
  - ka
  - he
  - en
  - de
  - multilingual
  tags:
  - language classification
  datasets:
  - open_subtitles
  - tatoeba
  - oscar
  ---
  
  # RoBERTa for Multilabel Language Classification
  ## 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 - 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).
  
  | Training Loss | Validation Loss | F1-Score | Roc Auc  | Accuracy | Support |
  |---------------|-----------------|----------|----------|----------|---------|
  | 0.161500      | 0.110949        | 0.947844 | 0.953939 | 0.762063 | 26858   |