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metadata
tags:
  - spacy
  - token-classification
language:
  - en
model-index:
  - name: en_pipeline_ner_model_4
    results:
      - task:
          name: NER
          type: token-classification
        metrics:
          - name: NER Precision
            type: precision
            value: 0.7673501577
          - name: NER Recall
            type: recall
            value: 0.7667454689
          - name: NER F Score
            type: f_score
            value: 0.7670476941
Feature Description
Name en_pipeline_ner_model_4
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 (4 labels for 1 components)
Component Labels
ner allergy_name, cancer, chronic_disease, treatment

Accuracy

Type Score
ENTS_F 76.70
ENTS_P 76.74
ENTS_R 76.67
TRANSFORMER_LOSS 655099.91
NER_LOSS 820705.40