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aditya22/bert-finetuned-ner
bert-finetuned-ner is a token classification model from aditya22. 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:
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The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.0855 | 1.0 | 1756 | 0.0642 | 0.9108 | 0.9387 | 0.9246 | 0.9834 |
| 0.0414 | 2.0 | 3512 | 0.0619 | 0.9331 | 0.9502 | 0.9415 | 0.9853 |
| 0.0181 | 3.0 | 5268 | 0.0642 | 0.9360 | 0.9504 | 0.9431 | 0.9860 |