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ysharma/bert-finetuned-ner
bert-finetuned-ner is a token classification model from ysharma. 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 |
|---|---|---|---|---|---|---|---|
| 0.0876 | 1.0 | 1756 | 0.0692 | 0.9127 | 0.9355 | 0.9240 | 0.9819 |
| 0.0316 | 2.0 | 3512 | 0.0651 | 0.9284 | 0.9490 | 0.9386 | 0.9850 |
| 0.0215 | 3.0 | 5268 | 0.0634 | 0.9327 | 0.9500 | 0.9413 | 0.9861 |