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en_Spacy_Custom_ner
Cogoport/en_Spacy_Custom_ner
en_Spacy_Custom_ner is a token classification model from Cogoport. Use it when you need labels on individual words, such as names. It is set up for spacy.
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Other659 MB · 52%
At a glance
- Task
- Token Classification
- Library
- spacy
- Access
- Public
- Created
- May 18, 2023
- Updated
- Jun 19, 2023
- SHA
- c6b44918
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Model card
From the Hugging Face model README
| Feature | Description |
|---|---|
| Name | en_Spacy_Custom_ner |
| Version | 0.0.0 |
| spaCy | >=3.5.3,<3.6.0 |
| Default Pipeline | tok2vec, ner |
| Components | tok2vec, ner |
| Vectors | 514157 keys, 514157 unique vectors (300 dimensions) |
| Sources | n/a |
| License | n/a |
| Author | n/a |
Label Scheme
<details> <summary>View label scheme (16 labels for 1 components)</summary>| Component | Labels |
|---|---|
ner | AGENT_FALLBACK, BOOK, COMODITY, CONTAINER COUNT, CONTAINER SIZE, CONTAINER SIZE-COUNT, DESTINATION, ENQUIRY, HELP, INCOTERM, KYC, ORIGIN, SEARCH RATES, SHIP, SHIPMENT TYPE, WELCOME_MSG |
Accuracy
| Type | Score |
|---|---|
ENTS_F | 99.42 |
ENTS_P | 99.19 |
ENTS_R | 99.65 |
TOK2VEC_LOSS | 1794.25 |
NER_LOSS | 53209.43 |
- Task
- Token Classification
- Library
- spacy
- Languages
- en
- Created
- May 18, 2023
- Updated
- Jun 19, 2023