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en_scispaCy_aaa_classification
danielcthompson/en_scispaCy_aaa_classification
en_scispaCy_aaa_classification is a text classification model from danielcthompson. Use it when you need a label for a piece of text. It is set up for spacy.
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323 MB
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At a glance
- Task
- Text Classification
- Library
- spacy
- Access
- Public
- Created
- Aug 24, 2024
- Updated
- Sep 5, 2024
- SHA
- fbe9652d
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Model card
From the Hugging Face model README
| Feature | Description |
|---|---|
| Name | en_scispaCy_aaa_classification |
| Version | 1.0.0 |
| spaCy | >=3.7.4,<3.8.0 |
| Default Pipeline | tok2vec, tagger, attribute_ruler, lemmatizer, parser, ner, textcat_multilabel |
| Components | tok2vec, tagger, attribute_ruler, lemmatizer, parser, ner, textcat_multilabel |
| Vectors | 4087446 keys, 50000 unique vectors (200 dimensions) |
| Sources | n/a |
| License | GPL v3 |
| Author | Daniel C Thompson |
Label Scheme
<details> <summary>View label scheme (99 labels for 4 components)</summary>| Component | Labels |
| textcat_multilabel | AAA |
Accuracy
| Type | Score |
|---|---|
CATS_SCORE | 99.46 |
CATS_MICRO_P | 93.06 |
CATS_MICRO_R | 99.26 |
CATS_MICRO_F | 96.06 |
CATS_MACRO_P | 93.06 |
CATS_MACRO_R | 99.26 |
CATS_MACRO_F | 96.06 |
CATS_MACRO_AUC | 99.46 |
TOK2VEC_LOSS | 76.75 |
TEXTCAT_MULTILABEL_LOSS | 246.39 |
- Task
- Text Classification
- Library
- spacy
- Languages
- en
- Created
- Aug 24, 2024
- Updated
- Sep 5, 2024