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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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- fr |
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model-index: |
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- name: fr_pipeline |
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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: 0.8045454545 |
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- name: NER Recall |
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type: recall |
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value: 0.7564102564 |
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- name: NER F Score |
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type: f_score |
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value: 0.7797356828 |
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--- |
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| Feature | Description | |
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| --- | --- | |
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| **Name** | `fr_pipeline` | |
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| **Version** | `0.0.0` | |
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| **spaCy** | `>=3.4.4,<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** | [n/a]() | |
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### Label Scheme |
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<details> |
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<summary>View label scheme (8 labels for 1 components)</summary> |
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| Component | Labels | |
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| --- | --- | |
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| **`ner`** | `EMOTICON`, `GOVERNING ENTITY`, `HASHTAG`, `LINK`, `NUMBERS/METRICS`, `QUESTION`, `REFERENCE`, `TAG` | |
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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` | 77.97 | |
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| `ENTS_P` | 80.45 | |
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| `ENTS_R` | 75.64 | |
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| `TOK2VEC_LOSS` | 9744.43 | |
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| `NER_LOSS` | 4349.46 | |
