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es_metaextract_umsa_v1
riturralde/es_metaextract_umsa_v1
es_metaextract_umsa_v1 is a token classification model from riturralde. 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
- Feb 3, 2024
- Updated
- Feb 3, 2024
- SHA
- 78f465ba
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Model card
From the Hugging Face model README
| Feature | Description |
|---|---|
| Name | es_metaextract_umsa_v1 |
| Version | 1.0 |
| spaCy | >=3.7.2,<3.8.0 |
| Default Pipeline | tok2vec, ner |
| Components | tok2vec, ner |
| Vectors | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | n/a |
| License | n/a |
| Author | n/a |
Label Scheme
<details> <summary>View label scheme (6 labels for 1 components)</summary>| Component | Labels |
|---|---|
ner | ADVISOR, AUTHOR, DEPARTMENT, FACULTY, TITLE, YEAR |
Accuracy
| Type | Score |
|---|---|
ENTS_F | 90.05 |
ENTS_P | 85.82 |
ENTS_R | 94.71 |
TOK2VEC_LOSS | 52012.59 |
NER_LOSS | 228767.42 |
- Task
- Token Classification
- Library
- spacy
- Languages
- es
- Created
- Feb 3, 2024
- Updated
- Feb 3, 2024