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--- |
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tags: |
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- spacy |
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- token-classification |
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language: |
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- en |
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license: mit |
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model-index: |
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- name: en_Coff_Ev1 |
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results: |
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- task: |
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name: NER |
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type: token-classification |
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metrics: |
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- name: NER Precision |
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type: precision |
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value: 0.9922248804 |
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- name: NER Recall |
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type: recall |
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value: 0.9916317992 |
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- name: NER F Score |
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type: f_score |
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value: 0.9919282511 |
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--- |
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# COFF-E |
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*Your Coffee at the Speed of Sound*<br><br> |
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This model in an implementation that can process coffee drinks from typed or text-to-speech applications. |
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**When citing, please us all authors below** |
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| Feature | Description | |
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| --- | --- | |
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| **Name** | `en_Coff_Ev1` | |
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| **Version** | `1.1.5` | |
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| **spaCy** | `>=3.4.3,<3.5.0` | |
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| **Default Pipeline** | `tok2vec`, `ner` | |
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| **Components** | `tok2vec`, `ner` | |
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| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) | |
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| **Sources** | n/a | |
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| **License** | `MIT` | |
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| **Author** | [Chris Bruinsma,Iris Chi,Jack Felciano,Jeffrey Li,Dustin Paden]() | |
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### Label Scheme |
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<details> |
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<summary>View label scheme (18 labels for 1 components)</summary> |
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| Component | Labels | |
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| --- | --- | |
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| **`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` | |
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</details> |
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### Accuracy |
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| Type | Score | |
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| --- | --- | |
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| `ENTS_F` | 99.19 | |
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| `ENTS_P` | 99.22 | |
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| `ENTS_R` | 99.16 | |
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| `TOK2VEC_LOSS` | 58625.70 | |
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| `NER_LOSS` | 168185.77 | |
