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en_spacy_trf_sector_ner
sujayC66/en_spacy_trf_sector_ner
en_spacy_trf_sector_ner is a token classification model from sujayC66. 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 1, 2024
- Updated
- Feb 1, 2024
- SHA
- bb1cece0
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Model card
From the Hugging Face model README
| Feature | Description |
|---|---|
| Name | en_spacy_trf_sector_ner |
| Version | 0.0.0 |
| spaCy | >=3.6.1,<3.7.0 |
| Default Pipeline | transformer, ner |
| Components | transformer, 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 (1 labels for 1 components)</summary>| Component | Labels |
|---|---|
ner | SECTOR |
Accuracy
| Type | Score |
|---|---|
ENTS_F | 80.75 |
ENTS_P | 79.26 |
ENTS_R | 82.30 |
TRANSFORMER_LOSS | 6151.13 |
NER_LOSS | 62503.72 |
- Task
- Token Classification
- Library
- spacy
- Languages
- en
- Created
- Feb 1, 2024
- Updated
- Feb 1, 2024