

NER4Archives pipeline optimized for CPU and specialized on French National Archives findings aids (XML-EAD) - Corpus V2. Components: tok2vec, ner. Base default CNN architecture.

| Feature | Description |
| --- | --- |
| **Name** | `fr_ner4archives_default_test` |
| **Version** | `0.0.0` |
| **spaCy** | `>=3.3.1,<3.4.0` |
| **Default Pipeline** | `tok2vec`, `ner` |
| **Components** | `tok2vec`, `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. 2.0) - [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` | 76.95 |
| `ENTS_P` | 80.00 |
| `ENTS_R` | 74.13 |
| `TOK2VEC_LOSS` | 76044.50 |
| `NER_LOSS` | 75529.77 |
{"language": ["fr"], "tags": ["spacy", "token-classification"], "widget": [{"text": "415 Lyon Lettres de r\u00e9mission accord\u00e9es \u00e0 Denis Fromant, marinier, pour meurtre commis \u00e0 Saint-Haon 1, au pays de Roannais, sur la personne de Driet Cantin qui l'accusait d'avoir maltrait\u00e9 un de ses pages et de l'avoir d\u00e9pouill\u00e9 d'une jument (Fol 145 v\u00b0, n\u00b0 415) Septembre 1501.", "example_title": "FRAN_IR_000061"}, {"text": "BB/29/988  page 143  Penne (Lot-et-Garronne) 14 d\u00e9cembre 1822. BB/29/988  page 145  Billom (Puy-de-D\u00f4me) 11 janvier 1823.", "example_title": "FRAN_IR_050370"}]}
spacy token-classification fr model-index region:us
TAGS
#spacy #token-classification #fr #model-index #region-us 

NER4Archives pipeline optimized for CPU and specialized on French National Archives findings aids (XML-EAD) - Corpus V2. Components: tok2vec, ner. Base default CNN architecture.



### Label Scheme



View label scheme (5 labels for 1 components)


### Accuracy




### Label Scheme



View label scheme (5 labels for 1 components) ### Accuracy
TAGS
#spacy #token-classification #fr #model-index #region-us 
 ### Label Scheme



View label scheme (5 labels for 1 components) ### Accuracy
passage: TAGS
#spacy #token-classification #fr #model-index #region-us 
### Label Scheme



View label scheme (5 labels for 1 components)### Accuracy