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--- |
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tags: |
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- flair |
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- token-classification |
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- sequence-tagger-model |
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language: uk |
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datasets: |
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- ner-uk |
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model-index: |
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- name: flair-uk-ner |
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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: 0.8616 |
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- name: NER Recall |
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type: recall |
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value: 0.8593 |
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- name: NER F Score |
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type: f_score |
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value: 0.8605 |
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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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license: mit |
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--- |
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# flair-uk-ner |
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## Model description |
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**flair-uk-ner** is a Flair model that is ready to use for **Named Entity Recognition**. It is based on flair embeddings, that I've trained for Ukrainian language (available [here](https://huggingface.co/dchaplinsky/flair-uk-backward) and [here](https://huggingface.co/dchaplinsky/flair-uk-forward)) and has nice performance and a very **small size** (just 72mb!). |
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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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Results: |
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- F-score (micro) **0.8605** |
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- F-score (macro) **0.7472** |
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- Accuracy **0.8033** |
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| by class | precision | recall | f1-score | support | |
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|--------------|-----------|--------|----------|---------| |
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| **PERS** | 0.9305 | 0.9422 | 0.9363 | 1678 | |
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| **LOC** | 0.8150 | 0.8678 | 0.8406 | 401 | |
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| **ORG** | 0.6653 | 0.6092 | 0.6360 | 261 | |
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| **MISC** | 0.6202 | 0.5375 | 0.5759 | 240 | |
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| micro avg | 0.8616 | 0.8593 | 0.8605 | 2580 | |
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| macro avg | 0.7577 | 0.7392 | 0.7472 | 2580 | |
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| weighted avg | 0.8569 | 0.8593 | 0.8575 | 2580 | |
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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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Training code is also available [here](https://github.com/lang-uk/flair-ner). |
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Copyright: [Dmytro Chaplynskyi](https://twitter.com/dchaplinsky), [lang-uk project](https://lang.org.ua), 2022 |
