Create README.md

README.md

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+---
+language: 
+- hr
+- bs
+- sr
+- cnr
+- hbs
+
+- text: "Zovem se Marko i živim u Zagrebu. Radim u Beogradu na Filozofskom fakultetu."
+- license: apache-2.0
+---
+
+# The [BERTić](https://huggingface.co/CLASSLA/bcms-bertic)* [bert-ich] /bɜrtitʃ/ model fine-tuned for the task of named entity recognition in Bosnian, Croatian, Montenegrin and Serbian (BCMS)
+
+* The name should resemble the facts (1) that the model was trained in Zagreb, Croatia, where diminutives ending in -ić (as in fotić, smajlić, hengić etc.) are very popular, and (2) that most surnames in the countries where these languages are spoken end in -ić (with diminutive etymology as well).
+
+This is a fine-tuned version of the [BERTić](https://huggingface.co/CLASSLA/bcms-bertic) model on the following datasets:
+
+- the [hr500k](http://hdl.handle.net/11356/1183) dataset, 500 thousand tokens in size, standard Croatian
+- the [SETimes.SR](http://hdl.handle.net/11356/1200) dataset, 87 thousand tokens in size, standard Serbian
+- the [ReLDI-hr](http://hdl.handle.net/11356/1241) dataset, 89 thousand tokens in size, Internet (Twitter) Croatian
+- the [ReLDI-sr](http://hdl.handle.net/11356/1240) dataset, 92 thousand tokens in size, Internet (Twitter) Serbian
+
+The data was augmented with missing diacritics and standard data was additionally over-represented. The F1 obtained on dev data (train and test was merged into train) is 91.38. For a more detailed per-dataset evaluation of the BERTić model on the NER task have a look at the [main model page](https://huggingface.co/CLASSLA/bcms-bertic).