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djagatiya/ner-deberta-base-ontonotesv5-englishv4
ner-deberta-base-ontonotesv5-englishv4 is a token classification model from djagatiya. Use it when you need labels on individual words, such as names. It is set up for transformers.
This deberta-base NER model was finetuned on conll2012ontonotesv5 version english-v4 dataset. <br Check out NER-System Repository for more information.
Downloads · 30 days
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From the Hugging Face model README
This deberta-base NER model was finetuned on conll2012_ontonotesv5 version english-v4 dataset. <br>
Check out NER-System Repository for more information.
conll2012_ontonotesv5
| Dataset | Examples |
|---|---|
| Training | 75187 |
| Testing | 9479 |
precision recall f1-score support
CARDINAL 0.86 0.87 0.86 935
DATE 0.85 0.89 0.87 1602
EVENT 0.65 0.78 0.71 63
FAC 0.74 0.80 0.77 135
GPE 0.97 0.96 0.96 2240
LANGUAGE 0.83 0.68 0.75 22
LAW 0.71 0.68 0.69 40
LOC 0.74 0.77 0.76 179
MONEY 0.88 0.90 0.89 314
NORP 0.94 0.97 0.95 841
ORDINAL 0.79 0.87 0.83 195
ORG 0.92 0.92 0.92 1795
PERCENT 0.92 0.92 0.92 349
PERSON 0.95 0.95 0.95 1988
PRODUCT 0.65 0.76 0.70 76
QUANTITY 0.77 0.82 0.80 105
TIME 0.62 0.65 0.63 212
WORK_OF_ART 0.64 0.69 0.66 166
micro avg 0.90 0.91 0.90 11257
macro avg 0.80 0.83 0.81 11257
weighted avg 0.90 0.91 0.90 11257
https://github.com/djagatiya/NER-System/blob/main/infer_pipeline.ipynb