|
--- |
|
widget: |
|
- text: "415 Lyon Lettres de rémission accordées à Denis Fromant, marinier, pour meurtre commis à Saint-Haon 1, au pays de Roannais, sur la personne de Driet Cantin qui l'accusait d'avoir maltraité un de ses pages et de l'avoir dépouillé d'une jument (Fol 145 v°, n° 415) Septembre 1501." |
|
example_title: "FRAN_IR_000061" |
|
- text: "BB/29/988 page 143 Penne (Lot-et-Garronne) 14 décembre 1822. BB/29/988 page 145 Billom (Puy-de-Dôme) 11 janvier 1823." |
|
example_title: "FRAN_IR_050370" |
|
|
|
tags: |
|
- spacy |
|
- token-classification |
|
language: |
|
- fr |
|
model-index: |
|
- name: fr_ner4archives_V3_camembert_base |
|
results: |
|
- task: |
|
name: NER |
|
type: token-classification |
|
metrics: |
|
- name: NER Precision |
|
type: precision |
|
value: 0.916087963 |
|
- name: NER Recall |
|
type: recall |
|
value: 0.92303207 |
|
- name: NER F Score |
|
type: f_score |
|
value: 0.9195469068 |
|
--- |
|
| Feature | Description | |
|
| --- | --- | |
|
| **Name** | `fr_ner4archives_V3_camembert_base` | |
|
| **Version** | `0.0.0` | |
|
| **spaCy** | `>=3.4.1,<3.5.0` | |
|
| **Default Pipeline** | `transformer`, `ner` | |
|
| **Components** | `transformer`, `ner` | |
|
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) | |
|
| **Sources** | French corpus for the NER task composed of finding aids in XML-EAD from the National Archives of France (v. 3.0) - [Check corpus version on GitHub](https://github.com/NER4Archives-project/Corpus_TrainingData) | |
|
| **License** | CC-BY-4.0 license | |
|
| **Author** | [Archives nationales]() / [Inria-Almanach]() | |
|
|
|
### Label Scheme |
|
|
|
<details> |
|
|
|
<summary>View label scheme (5 labels for 1 components)</summary> |
|
|
|
| Component | Labels | |
|
| --- | --- | |
|
| **`ner`** | `EVENT`, `LOCATION`, `ORGANISATION`, `PERSON`, `TITLE` | |
|
|
|
</details> |
|
|
|
### Accuracy |
|
|
|
| Type | Score | |
|
| --- | --- | |
|
| `ENTS_F` | 91.95 | |
|
| `ENTS_P` | 91.61 | |
|
| `ENTS_R` | 92.30 | |
|
| `TRANSFORMER_LOSS` | 395487.28 | |
|
| `NER_LOSS` | 11238.70 | |
