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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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model-index: |
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- name: Coffee Language Processor |
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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: 1.0 |
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- name: NER Recall |
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type: recall |
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value: 1.0 |
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- name: NER F Score |
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type: f_score |
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value: 1.0 |
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--- |
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| Feature | Description | |
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| --- | --- | |
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| **Name** | `Coffee Language Processor` | |
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| **Version** | `1.0.3` | |
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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** | n/a | |
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| **Author** | `Christopher Bruinsma` , `Iris Chi` , `Juan(Jack) Feliciano` , `Jeffrey Li` , `Dustin Paden` | |
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### Label Scheme |
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<details> |
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<summary>View label scheme (13 labels for 1 components)</summary> |
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| Component | Labels | |
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| --- | --- | |
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| **`ner`** | `Anti`, `drink`, `extra`, `milk`, `milk texture`, `pump quantity`, `roast`, `shot quality`, `shot quantity`, `size`, `syrup`, `temperature`, `toppings` | |
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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` | 100.00 | |
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| `ENTS_P` | 100.00 | |
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| `ENTS_R` | 100.00 | |
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| `TOK2VEC_LOSS` | 116652.36 | |
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| `NER_LOSS` | 32106.04 | |
