en_pipeline / README.md
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Update spaCy pipeline
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metadata
tags:
  - spacy
  - token-classification
language:
  - en
model-index:
  - name: en_pipeline
    results:
      - task:
          name: NER
          type: token-classification
        metrics:
          - name: NER Precision
            type: precision
            value: 0.898989899
          - name: NER Recall
            type: recall
            value: 0.8682926829
          - name: NER F Score
            type: f_score
            value: 0.8833746898
Feature Description
Name en_pipeline
Version 0.0.0
spaCy >=3.5.1,<3.6.0
Default Pipeline tok2vec, ner
Components tok2vec, ner
Vectors 0 keys, 0 unique vectors (0 dimensions)
Sources n/a
License n/a
Author n/a

Label Scheme

View label scheme (7 labels for 1 components)
Component Labels
ner DURATION, LOC, MISC, MONEY, ORG, PER, REASON

Accuracy

Type Score
ENTS_F 88.34
ENTS_P 89.90
ENTS_R 86.83
TOK2VEC_LOSS 322.84
NER_LOSS 4541.55