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: 0.9922248804
          - name: NER Recall
            type: recall
            value: 0.9916317992
          - name: NER F Score
            type: f_score
            value: 0.9919282511

COFF-E

Your Coffee at the Speed of Sound

This model in an implementation that can process coffee drinks from typed or text-to-speech applications.

When citing, please us all authors below

Feature	Description
Name	`en_Coff_Ev1`
Version	`1.1.5`
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`	99.19
`ENTS_P`	99.22
`ENTS_R`	99.16
`TOK2VEC_LOSS`	58625.70
`NER_LOSS`	168185.77