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ewfian/bert-japanese-ner
bert-japanese-ner is a token classification model from ewfian. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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From the Hugging Face model README
This model is a fine-tuned version of cl-tohoku/bert-base-japanese-v3 on the None dataset. It achieves the following results on the evaluation set:
More information needed
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More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.0553 | 1.0 | 848 | 0.0263 | 0.9683 | 0.9334 | 0.9505 | 0.9908 |
| 0.0133 | 2.0 | 1696 | 0.0241 | 0.9707 | 0.9560 | 0.9633 | 0.9928 |
| 0.0065 | 3.0 | 2544 | 0.0245 | 0.9631 | 0.9706 | 0.9668 | 0.9935 |
| 0.0027 | 4.0 | 3392 | 0.0321 | 0.9716 | 0.9659 | 0.9687 | 0.9936 |
| 0.0012 | 5.0 | 4240 | 0.0372 | 0.9673 | 0.9682 | 0.9678 | 0.9933 |