README.md

metadata

tags:
  - spacy
  - token-classification
language:
  - en
license: mit
model-index:
  - name: en_Coff_Ev1
    results:
      - task:
          name: NER
          type: token-classification
        metrics:
          - name: NER Precision
            type: precision
            value: 0.9914578588
          - name: NER Recall
            type: recall
            value: 0.989766913
          - name: NER F Score
            type: f_score
            value: 0.9906116643

COFF-E

Your Coffee at the Speed of Sound

Please cite using ALL LICENSED AUTHORS below

Feature	Description
Name	en_Coff_Ev1
Version	1.1.7
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	MIT
Author	Chris Bruinsma,Iris Chi,Jack Felciano,Jeffrey Li,Dustin Paden

Label Scheme

View label scheme (18 labels for 1 components)

Component	Labels
ner	Anti, Brew Style, add-on, drink, extra, hot breakfast, milk, milk texture, pastry, pump quantity, roast, shot quality, shot quantity, size, syrup, temperature, toppings, upside-down

Accuracy

Type	Score
ENTS_F	99.06
ENTS_P	99.15
ENTS_R	98.98
TOK2VEC_LOSS	92287.82
NER_LOSS	204966.51