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Update spaCy pipeline
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metadata
tags:
  - spacy
  - token-classification
language:
  - en
model-index:
  - name: en_ner_sender_recipient
    results:
      - task:
          name: NER
          type: token-classification
        metrics:
          - name: NER Precision
            type: precision
            value: 0.7942124225
          - name: NER Recall
            type: recall
            value: 0.7429116388
          - name: NER F Score
            type: f_score
            value: 0.767705961
Feature Description
Name en_ner_sender_recipient
Version 1.0.0
spaCy >=3.5.0,<3.6.0
Default Pipeline tok2vec, ner
Components tok2vec, ner
Vectors 514157 keys, 514157 unique vectors (300 dimensions)
Sources n/a
License n/a
Author n/a

Label Scheme

View label scheme (2 labels for 1 components)
Component Labels
ner RECIPIENT, SENDER

Accuracy

Type Score
ENTS_F 76.77
ENTS_P 79.42
ENTS_R 74.29
TOK2VEC_LOSS 172291.20
NER_LOSS 173143.05