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Update spaCy pipeline
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metadata
tags:
  - spacy
  - token-classification
language:
  - en
model-index:
  - name: en_Resume_Parser_pipeline
    results:
      - task:
          name: NER
          type: token-classification
        metrics:
          - name: NER Precision
            type: precision
            value: 0.7978288453
          - name: NER Recall
            type: recall
            value: 0.8050931854
          - name: NER F Score
            type: f_score
            value: 0.8014445546
Feature Description
Name en_Resume_Parser_pipeline
Version 0.0.0
spaCy >=3.7.2,<3.8.0
Default Pipeline transformer, ner
Components transformer, ner
Vectors 0 keys, 0 unique vectors (0 dimensions)
Sources n/a
License n/a
Author n/a

Label Scheme

View label scheme (17 labels for 1 components)
Component Labels
ner AWARDS, CERTIFICATION, COLLEGE NAME, COMPANIES WORKED AT, CONTACT, DEGREE, EMAIL ADDRESS, LANGUAGE, LINKEDIN LINK, LOCATION, NAME, SKILLS, UNIVERSITY, Unlabelled, WORKED AS, YEAR OF GRADUATION, YEARS OF EXPERIENCE

Accuracy

Type Score
ENTS_F 80.14
ENTS_P 79.78
ENTS_R 80.51
TRANSFORMER_LOSS 1703926.80
NER_LOSS 6595481.42