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aragorn67/bert-finetuned-ner
bert-finetuned-ner is a token classification model from aragorn67. 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 conll2003 dataset. It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.0516 | 1.0 | 1756 | 0.0421 | 0.9313 | 0.9423 | 0.9368 | 0.9894 |
| 0.0245 | 2.0 | 3512 | 0.0410 | 0.9474 | 0.9510 | 0.9492 | 0.9911 |
| 0.0122 | 3.0 | 5268 | 0.0421 | 0.9471 | 0.9519 | 0.9495 | 0.9913 |