readme: ---
  tags:
  - spacy
  - token-classification
  language:
  - en
  license: mit
  model-index:
  - name: en_SEDNA_NER_MARTIME_V2
    results:
    - task:
        name: NER
        type: token-classification
      metrics:
      - name: NER Precision
        type: precision
        value: 0.898708838
      - name: NER Recall
        type: recall
        value: 0.8993389423
      - name: NER F Score
        type: f_score
        value: 0.8990237797
    - task:
        name: TAG
        type: token-classification
      metrics:
      - name: TAG (XPOS) Accuracy
        type: accuracy
        value: 0.9780627094
    - task:
        name: UNLABELED_DEPENDENCIES
        type: token-classification
      metrics:
      - name: Unlabeled Attachment Score (UAS)
        type: f_score
        value: 0.9527056513
    - task:
        name: LABELED_DEPENDENCIES
        type: token-classification
      metrics:
      - name: Labeled Attachment Score (LAS)
        type: f_score
        value: 0.9393298266
    - task:
        name: SENTS
        type: token-classification
      metrics:
      - name: Sentences F-Score
        type: f_score
        value: 0.9095503479
  ---
  