en_cardroberta / README.md
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spacy whl
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metadata
tags:
  - spacy
  - token-classification
language:
  - en
model-index:
  - name: en_cardroberta
    results:
      - task:
          name: NER
          type: token-classification
        metrics:
          - name: NER Precision
            type: precision
            value: 0.9540259081
          - name: NER Recall
            type: recall
            value: 0.9660493827
          - name: NER F Score
            type: f_score
            value: 0.96
Feature Description
Name en_cardroberta
Version 0.0.0
spaCy >=3.4.4,<3.5.0
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 (3 labels for 1 components)
Component Labels
ner antineoplastic, cancertype, carcinogen

Accuracy

Type Score
ENTS_F 96.00
ENTS_P 95.40
ENTS_R 96.60
TRANSFORMER_LOSS 108560.84
NER_LOSS 37647.50