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en_sector_ner_E100_acc80
sujayC66/en_sector_ner_E100_acc80
en_sector_ner_E100_acc80 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
- Jan 31, 2024
- Updated
- Jan 31, 2024
- SHA
- 27f3eec8
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Model card
From the Hugging Face model README
| Feature | Description |
|---|---|
| Name | en_sector_ner_E100_acc80 |
| 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 | 79.81 |
ENTS_P | 81.37 |
ENTS_R | 78.30 |
TRANSFORMER_LOSS | 11602.04 |
NER_LOSS | 79463.17 |
- Task
- Token Classification
- Library
- spacy
- Languages
- en
- Created
- Jan 31, 2024
- Updated
- Jan 31, 2024