en_Coff_Ev1 / README.md
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metadata
tags:
  - spacy
  - token-classification
language:
  - en
model-index:
  - name: en_Coff_Ev1
    results:
      - task:
          name: NER
          type: token-classification
        metrics:
          - name: NER Precision
            type: precision
            value: 0.9920977011
          - name: NER Recall
            type: recall
            value: 0.9913854989
          - name: NER F Score
            type: f_score
            value: 0.9917414722

A natural language processor API for coffee drinks in all forms built from nearly 500+ different coffee drinks for Starbucks and Beyond

Feature Description
Name en_Coff_Ev1
Version 1.1.1
spaCy >=3.4.3,<3.5.0
Default Pipeline tok2vec, ner
Components tok2vec, ner
Vectors 0 keys, 0 unique vectors (0 dimensions)
Sources n/a
License n/a
Author Chris Bruinsma,Iris Chi,Jack Felciano,Jeffrey Li,Dustin Paden

Label Scheme

View label scheme (14 labels for 1 components)
Component Labels
ner Anti, drink, extra, milk, milk texture, pump quantity, roast, shot quality, shot quantity, size, syrup, temperature, toppings, upside-down

Accuracy

Type Score
ENTS_F 99.17
ENTS_P 99.21
ENTS_R 99.14
TOK2VEC_LOSS 19296.40
NER_LOSS 157988.43