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--- |
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tags: |
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- spacy |
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- token-classification |
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- text-classification |
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language: |
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- en |
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model-index: |
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- name: en_generic |
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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: 0.9421775682 |
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- name: NER Recall |
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type: recall |
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value: 0.9493801653 |
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- name: NER F Score |
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type: f_score |
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value: 0.9457651539 |
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--- |
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| Feature | Description | |
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| --- | --- | |
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| **Name** | `en_generic` | |
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| **Version** | `0.0.3` | |
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| **spaCy** | `>=3.7.5,<3.8.0` | |
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| **Default Pipeline** | `tok2vec`, `ner`, `textcat` | |
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| **Components** | `tok2vec`, `ner`, `textcat` | |
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| **Vectors** | 514157 keys, 514157 unique vectors (300 dimensions) | |
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| **Sources** | n/a | |
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| **License** | n/a | |
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| **Author** | [n/a]() | |
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### Label Scheme |
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<details> |
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<summary>View label scheme (29 labels for 2 components)</summary> |
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| Component | Labels | |
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| --- | --- | |
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| **`ner`** | `BRAND`, `COLOR`, `DISPLAY`, `GENDER`, `MATERIAL`, `MEMORY`, `MISC`, `MODEL_IDENTIFIER`, `PROCESSOR`, `PRODUCT_TYPE`, `SEASON`, `SIZE_MEASUREMENT`, `STYLE_FIT`, `TECH_FEATURE` | |
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| **`textcat`** | `292`, `325`, `328`, `297`, `4745`, `267`, `204`, `207`, `2331`, `211`, `212`, `6228`, `187`, `5598`, `2271` | |
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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` | 94.58 | |
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| `ENTS_P` | 94.22 | |
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| `ENTS_R` | 94.94 | |
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| `CATS_SCORE` | 97.49 | |
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| `CATS_MICRO_P` | 97.14 | |
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| `CATS_MICRO_R` | 97.14 | |
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| `CATS_MICRO_F` | 97.14 | |
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| `CATS_MACRO_P` | 97.89 | |
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| `CATS_MACRO_R` | 97.15 | |
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| `CATS_MACRO_F` | 97.49 | |
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| `CATS_MACRO_AUC` | 99.84 | |
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| `TOK2VEC_LOSS` | 22259553.65 | |
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| `NER_LOSS` | 723658.37 | |
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| `TEXTCAT_LOSS` | 20.50 | |
