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Update spaCy pipeline
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metadata
tags:
  - spacy
  - token-classification
language:
  - en
model-index:
  - name: en_Spacy_Custom_ner2
    results:
      - task:
          name: NER
          type: token-classification
        metrics:
          - name: NER Precision
            type: precision
            value: 0.9911054638
          - name: NER Recall
            type: recall
            value: 0.9961685824
          - name: NER F Score
            type: f_score
            value: 0.9936305732
Feature Description
Name en_Spacy_Custom_ner2
Version 0.0.0
spaCy >=3.5.3,<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 (14 labels for 1 components)
Component Labels
ner BOOK, COMODITY, CONTAINER COUNT, CONTAINER SIZE, CONTAINER SIZE-COUNT, DESTINATION, ENQUIRY, HELP, INCOTERM, KYC, ORIGIN, SEARCH RATES, SHIP, SHIPMENT TYPE

Accuracy

Type Score
ENTS_F 99.36
ENTS_P 99.11
ENTS_R 99.62
TOK2VEC_LOSS 10283.83
NER_LOSS 72242.77