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--- |
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tags: |
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- spacy |
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- token-classification |
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language: uk |
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datasets: |
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- ner-uk |
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license: mit |
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model-index: |
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- name: uk_ner_web_trf_large |
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results: |
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- task: |
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name: NER |
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type: token-classification |
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metrics: |
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- name: NER Precision |
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type: precision |
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value: 0.9183514774 |
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- name: NER Recall |
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type: recall |
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value: 0.915503876 |
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- name: NER F Score |
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type: f_score |
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value: 0.9169254658 |
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widget: |
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- text: "Президент Володимир Зеленський пояснив, що наразі діалог із режимом Володимира путіна неможливий, адже агресор обрав курс на знищення українського народу. За словами Зеленського цей режим РФ виявляє неповагу до суверенітету і територіальної цілісності України." |
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--- |
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# uk_ner_web_trf_large |
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## Model description |
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**uk_ner_web_trf_large** is a fine-tuned [XLM-Roberta model](https://huggingface.co/xlm-roberta-large) that is ready to use for **Named Entity Recognition** and achieves a **SoA** performance for the NER task for Ukrainian language. It outperforms another SpaCy model, [uk_core_news_trf](https://huggingface.co/ukr-models/uk_core_news_trf) on a NER task. |
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It has been trained to recognize four types of entities: location (LOC), organizations (ORG), person (PERS) and Miscellaneous (MISC). |
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The model was fine-tuned on the [NER-UK dataset](https://github.com/lang-uk/ner-uk), released by the [lang-uk](https://lang.org.ua). |
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Smaller transformer based model for the SpaCy is available [here](https://huggingface.co/dchaplinsky/uk_ner_web_trf_base). |
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Copyright: [Dmytro Chaplynskyi](https://twitter.com/dchaplinsky), [lang-uk project](https://lang.org.ua), 2022 |
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