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Bluruwu/bert-finetuned-ner
bert-finetuned-ner is a token classification model from Bluruwu. 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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.safetensors431 MB · 100%
From the Hugging Face model README
This model is a fine-tuned version of bert-base-cased on the conll2002 dataset. It achieves the following results on the evaluation set:
More information needed
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More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.1744 | 1.0 | 521 | 0.1530 | 0.9558 | 0.9530 | 0.9557 | 0.9558 |
| 0.0775 | 2.0 | 1042 | 0.1455 | 0.9606 | 0.9602 | 0.9609 | 0.9606 |
| 0.0504 | 3.0 | 1563 | 0.1358 | 0.9650 | 0.9642 | 0.9640 | 0.9650 |
| 0.0351 | 4.0 | 2084 | 0.1461 | 0.9661 | 0.9653 | 0.9650 | 0.9661 |
| 0.0266 | 5.0 | 2605 | 0.1535 | 0.9662 | 0.9659 | 0.9659 | 0.9662 |
| 0.0201 | 6.0 | 3126 | 0.1597 | 0.9663 | 0.9662 | 0.9664 | 0.9663 |