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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_arches_ner |
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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: 0.6778376222 |
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- name: NER Recall |
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type: recall |
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value: 0.7156697557 |
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- name: NER F Score |
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type: f_score |
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value: 0.6962401393 |
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--- |
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| Feature | Description | |
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| --- | --- | |
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| **Name** | `fr_arches_ner` | |
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| **Version** | `0.0.0` | |
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| **spaCy** | `>=3.6.1,<3.7.0` | |
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| **Default Pipeline** | `tok2vec`, `ner`, `entity_punctuation_removal` | |
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| **Components** | `tok2vec`, `ner`, `entity_punctuation_removal` | |
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| **Vectors** | 500000 keys, 500000 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 (15 labels for 1 components)</summary> |
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| Component | Labels | |
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| --- | --- | |
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| **`ner`** | `CHRONOLOGIE`, `DECOR`, `EDIFICE`, `ESPECE`, `GPE`, `ID`, `LIEUDIT_SITE`, `LOC`, `MATERIAU`, `MOBILIER`, `ORG`, `PERSONNE`, `PEUPLE_CULTURE`, `STRUCTURE`, `TECHNIQUE_STYLE` | |
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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` | 69.62 | |
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| `ENTS_P` | 67.78 | |
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| `ENTS_R` | 71.57 | |
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| `TOK2VEC_LOSS` | 63436.09 | |
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| `NER_LOSS` | 246059.83 | |
