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vumichien/ner-jp-gliner
ner-jp-gliner is a token classification model from vumichien. Use it when you need labels on individual words, such as names. It is set up for gliner. The card lists the license as cc-by-nc-4.0.
This model is a fine-tuned version of deberta-v3-base-japanese on the Japanese Ner Wikipedia dataset. It achieves the following results: - Precision: 96.07% - Recall: 89.16% - F1 score: 92.49%
Downloads · 30 days
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From the Hugging Face model README
This model is a fine-tuned version of deberta-v3-base-japanese on the Japanese Ner Wikipedia dataset. It achieves the following results:
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The following hyperparameters were used during training:
| Epoch | Training Loss |
|---|---|
| 1 | 1291.582200 |
| 2 | 53.290100 |
| 3 | 44.137400 |
| 4 | 35.286200 |
| 5 | 20.865500 |
| 6 | 15.890000 |
| 7 | 13.369600 |
| 8 | 11.599500 |
| 9 | 9.773400 |
| 10 | 8.372600 |
| 11 | 7.256200 |
| 12 | 6.521800 |
| 13 | 7.203800 |
| 14 | 7.032900 |
| 15 | 6.189700 |
| 16 | 6.897400 |
| 17 | 6.031700 |
| 18 | 5.329600 |
| 19 | 5.411300 |
| 20 | 5.253800 |
| 21 | 4.522000 |
| 22 | 5.107700 |
| 23 | 4.163300 |
| 24 | 4.185400 |
| 25 | 3.403100 |
| 26 | 3.272400 |
| 27 | 2.387800 |
| 28 | 3.039400 |
| 29 | 2.383000 |
| 30 | 1.895300 |
| 31 | 1.748700 |
| 32 | 1.864300 |
| 33 | 2.343000 |
| 34 | 1.356600 |
| 35 | 1.182000 |
| 36 | 0.894700 |
| 37 | 0.954900 |