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de_GERNERMEDpp_Slim
jfrei/de_GERNERMEDpp_Slim
de_GERNERMEDpp_Slim is a token classification model from jfrei. Use it when you need labels on individual words, such as names. It is set up for spacy.
Slim model of the GERNERMED++ German NER model for medical entities.
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227
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Repo size
9.6 MB
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0
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At a glance
- Task
- Token Classification
- Library
- spacy
- Access
- Public
- Created
- Jul 5, 2022
- Updated
- Aug 3, 2023
- SHA
- 6fb224f3
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Model card
From the Hugging Face model README
Slim model of the GERNERMED++ German NER model for medical entities.
| Feature | Description |
|---|---|
| Name | de_GERNERMEDpp_Slim |
| Version | 1.0.0 |
| spaCy | >=3.2.3,<3.3.0 |
| Default Pipeline | tok2vec, ner |
| Components | tok2vec, ner |
| Vectors | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | n/a |
| License | n/a |
| Author | Johann Frei |
Label Scheme
<details> <summary>View label scheme (6 labels for 1 components)</summary>| Component | Labels |
|---|---|
ner | Dosage, Drug, Duration, Form, Frequency, Strength |
Accuracy
| Type | Score |
|---|---|
ENTS_F | 89.51 |
ENTS_P | 90.21 |
ENTS_R | 88.82 |
TOK2VEC_LOSS | 129329.99 |
NER_LOSS | 603008.42 |
- Task
- Token Classification
- Library
- spacy
- Languages
- de
- Created
- Jul 5, 2022
- Updated
- Aug 3, 2023