uk_ner_web_trf_base

Model description

uk_ner_web_trf_base is a fine-tuned XLM-Roberta model that is ready to use for Named Entity Recognition and achieves a performance close to SoA for the NER task for Ukrainian language. It has been trained to recognize four types of entities: location (LOC), organizations (ORG), person (PERS) and Miscellaneous (MISC).

The model was fine-tuned on the NER-UK dataset, released by the lang-uk. A bigger model, trained on xlm-roberta-large with the State-of-the-Art performance is available here.

Copyright: Dmytro Chaplynskyi, lang-uk project, 2022