readme: ---
  tags:
  - flair
  - token-classification
  - sequence-tagger-model
  language: uk
  datasets:
  - ner-uk
  model-index:
  - name: flair-uk-ner
    results:
    - task:
        name: NER
        type: token-classification
      metrics:
      - name: NER Precision
        type: precision
        value: 0.8616
      - name: NER Recall
        type: recall
        value: 0.8593
      - name: NER F Score
        type: f_score
        value: 0.8605
  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."
  license: mit
  ---
  
  # flair-uk-ner
  
  ## Model description
  
  **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!).
  
  It has been trained to recognize four types of entities: location (LOC), organizations (ORG), person (PERS) and Miscellaneous (MISC). 
  
  Results:
  - F-score (micro) **0.8605**
  - F-score (macro) **0.7472**
  - Accuracy **0.8033**
  
  | by class     | precision | recall | f1-score | support |
  |--------------|-----------|--------|----------|---------|
  | **PERS**     | 0.9305    | 0.9422 | 0.9363   | 1678    |
  | **LOC**      | 0.8150    | 0.8678 | 0.8406   | 401     |
  | **ORG**      | 0.6653    | 0.6092 | 0.6360   | 261     |
  | **MISC**     | 0.6202    | 0.5375 | 0.5759   | 240     |
  | micro avg    | 0.8616    | 0.8593 | 0.8605   | 2580    |
  | macro avg    | 0.7577    | 0.7392 | 0.7472   | 2580    |
  | weighted avg | 0.8569    | 0.8593 | 0.8575   | 2580    |
  
  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).
  Training code is also available [here](https://github.com/lang-uk/flair-ner).
  
  
  Copyright: [Dmytro Chaplynskyi](https://twitter.com/dchaplinsky), [lang-uk project](https://lang.org.ua), 2022