uk_ner_wechsel-minixhofer-roberta-large
Model description
uk_ner_wechsel-minixhofer-roberta-large is a fine-tuned Roberta-Large model by @benjamin that is ready to use for Named Entity Recognition and achieves a SoA performance for the NER task for Ukrainian language. That's the best I have for NER so far
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. Smaller transformer based model for the SpaCy is available here.
Copyright: Dmytro Chaplynskyi, lang-uk project, 2023
- Downloads last month
- 0
This model does not have enough activity to be deployed to Inference API (serverless) yet.
Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Evaluation results
- NER Precisionself-reported0.928
- NER Recallself-reported0.913
- NER F Scoreself-reported0.920