pytorch xlm-roberta text-classification ru uk be kk az hy ka he en de dataset:open_subtitles dataset:tatoeba dataset:oscar transformers language classification
---
language: 
- ru
- uk
- be
- kk
- az
- hy
- ka
- he
- en
- de
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   |