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hzSSS/bert-finetuned-ner
bert-finetuned-ner is a token classification model from hzSSS. 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 bert-base-cased on the conll2003 dataset. It achieves the following results on the evaluation set:
More information needed
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The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.076 | 1.0 | 1756 | 0.0621 | 0.9100 | 0.9381 | 0.9238 | 0.9827 |
| 0.0356 | 2.0 | 3512 | 0.0657 | 0.9315 | 0.9456 | 0.9385 | 0.9856 |
| 0.021 | 3.0 | 5268 | 0.0624 | 0.9330 | 0.9490 | 0.9409 | 0.9862 |