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fr_ner4archives_v3_with_vectors
ner4archives/fr_ner4archives_v3_with_vectors
fr_ner4archives_v3_with_vectors is a token classification model from ner4archives. Use it when you need labels on individual words, such as names. It is set up for spacy.
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At a glance
- Task
- Token Classification
- Library
- spacy
- Access
- Public
- Created
- Oct 14, 2022
- Updated
- Oct 17, 2022
- SHA
- e6f5a2bd
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Model card
From the Hugging Face model README
| Feature | Description |
|---|---|
| Name | fr_ner4archives_v3_with_vectors |
| Version | 0.0.0 |
| spaCy | >=3.4.1,<3.5.0 |
| Default Pipeline | tok2vec, ner |
| Components | tok2vec, ner |
| Vectors | 500000 keys, 500000 unique vectors (300 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 |
| 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 |
Accuracy
| Type | Score |
|---|---|
ENTS_F | 86.56 |
ENTS_P | 88.30 |
ENTS_R | 84.90 |
TOK2VEC_LOSS | 13527.63 |
NER_LOSS | 58805.82 |
- Task
- Token Classification
- Library
- spacy
- Languages
- fr
- Created
- Oct 14, 2022
- Updated
- Oct 17, 2022