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rcd12/bert-conll2003-ner
bert-conll2003-ner is a token classification model from rcd12. 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 None dataset. It achieves the following results on the evaluation set:
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The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.0456 | 1.0 | 878 | 0.0421 | 0.9238 | 0.9340 | 0.9289 | 0.9886 |
| 0.0206 | 2.0 | 1756 | 0.0388 | 0.9450 | 0.9490 | 0.9470 | 0.9907 |
| 0.0131 | 3.0 | 2634 | 0.0371 | 0.9435 | 0.9517 | 0.9476 | 0.9913 |