readme: ---
  tags:
  - spacy
  - token-classification
  language:
  - en
  license: mit
  model-index:
  - name: en_Coff_Ev2
    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
  ---
  Your Coffee at the Speed of Sound
  
  | Feature | Description |
  | --- | --- |
  | **Name** | `en_Coff_Ev2` |
  | **Version** | `1.1.6` |
  | **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
  
  <details>
  
  <summary>View label scheme (18 labels for 1 components)</summary>
  
  | 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` |
  
  </details>
  
  ### Accuracy
  
  | Type | Score |
  | --- | --- |
  | `ENTS_F` | 99.19 |
  | `ENTS_P` | 99.22 |
  | `ENTS_R` | 99.16 |
  | `TOK2VEC_LOSS` | 58625.70 |
  | `NER_LOSS` | 168185.77 |