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SophieH17/bert-finetuned-ner
bert-finetuned-ner is a token classification model from SophieH17. 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 |
|---|---|---|---|---|---|---|---|
| 0.0753 | 1.0 | 1756 | 0.0766 | 0.9049 | 0.9305 | 0.9175 | 0.9802 |
| 0.0393 | 2.0 | 3512 | 0.0544 | 0.9262 | 0.9478 | 0.9369 | 0.9859 |
| 0.0244 | 3.0 | 5268 | 0.0608 | 0.9293 | 0.9493 | 0.9392 | 0.9859 |