readme: ---
  language: 
  - lt
  - lv
  - en
  - multilingual
  
  license: cc-by-sa-4.0
  ---
  
  # LitLat BERT
  LitLat BERT is a trilingual model, using xlm-roberta-base architecture, trained on Lithuanian, Latvian, and English corpora. Focusing on three languages, the model performs better than [multilingual BERT](https://huggingface.co/bert-base-multilingual-cased), while still offering an option for cross-lingual knowledge transfer, which a monolingual model wouldn't. 
  
  ### Named entity recognition evaluation
  
  We compare LitLat BERT with multilingual BERT (mBERT), XLM-RoBERTa (XLM-R) and monolingual Latvian BERT (LVBERT) (Znotins and Barzdins, 2020). The report the results as a macro F1 score of 3 named entity classes shared in all three datasets: person, location, organization.
  
  Language | mBERT | XLM-R | LVBERT | LitLat
  ---|---|---|---|---
  Latvian | 0.830 | 0.865 | 0.797 | **0.881**
  Lithuanian | 0.797 | 0.817 | / | **0.850**
  English | 0.939 | 0.937 | / | **0.943**
  