nikitast/multilang-classifier-roberta

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