Create README.md

README.md

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+---
+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**