CLASSLA/bcms-bertic-ner

This is a fine-tuned version of the BERTić model for the task of named entity recognition (PER, LOC, ORG, MISC) The name should resemble the fact that the model was trained in Zagreb, Croatia, where diminutives ending in -ić are very popular . 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 91.38.38 . For a more detailed per-dataset evaluation of the model on the NER task have a look at the main model page . If you use this fine-,