| --- |
| tags: |
| - spacy |
| - token-classification |
| language: uk |
| datasets: |
| - ner-uk |
| license: mit |
| model-index: |
| - name: uk_ner_web_trf_base |
| results: |
| - task: |
| name: NER |
| type: token-classification |
| metrics: |
| - name: NER Precision |
| type: precision |
| value: 0.8987742191 |
| - name: NER Recall |
| type: recall |
| value: 0.8810077519 |
| - name: NER F Score |
| type: f_score |
| value: 0.8898023096 |
| widget: |
| - 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." |
| --- |
| # uk_ner_web_trf_base |
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| ## Model description |
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| **uk_ner_web_trf_base** is a fine-tuned [XLM-Roberta model](https://huggingface.co/xlm-roberta-base) 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). |
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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). |
| A bigger model, trained on xlm-roberta-large with the **State-of-the-Art** performance is available [here](https://huggingface.co/dchaplinsky/uk_ner_web_trf_large). |
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| Copyright: [Dmytro Chaplynskyi](https://twitter.com/dchaplinsky), [lang-uk project](https://lang.org.ua), 2022 |
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