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iahlt/ner-baseline-dictabert-he
ner-baseline-dictabert-he is a token classification model from iahlt. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as cc-by-4.0.
Label P R F1 support ---------------------------------------------- ANG 0.76 0.86 0.81 91 DUC 0.46 0.53 0.49 323 EVE 0.55 0.67 0.61 663 FAC 0.52 0.54 0.53 804 GPE 0.88 0.86 0.87 4915 INFORMAL 0.00 0.00 0.00 8
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From the Hugging Face model README
Label P R F1 support ---------------------------------------------- ANG 0.76 0.86 0.81 91 DUC 0.46 0.53 0.49 323 EVE 0.55 0.67 0.61 663 FAC 0.52 0.54 0.53 804 GPE 0.88 0.86 0.87 4915 INFORMAL 0.00 0.00 0.00 8 LOC 0.58 0.69 0.63 762 MISC 0.62 0.63 0.63 1548 ORG 0.75 0.79 0.77 5672 PER 0.94 0.96 0.95 7892 TIMEX 0.79 0.84 0.81 2623 TTL 0.68 0.72 0.70 2830 WOA 0.82 0.86 0.84 1102 --------------------------------------------- Mean 0.80 0.83 0.81 Total: 29233
For additional information and the dataset the model was trained on, see https://github.com/IAHLT/hebrew_named_entities_open_dataset.