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sbulut/bert-finetuned-ner
bert-finetuned-ner is a token classification model from sbulut. 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 an unknown 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 | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.0783 | 1.0 | 1756 | 0.0773 | 0.9079 | 0.9322 | 0.9199 | 0.9796 |
| 0.0416 | 2.0 | 3512 | 0.0591 | 0.9317 | 0.9483 | 0.9399 | 0.9857 |
| 0.0254 | 3.0 | 5268 | 0.0613 | 0.9338 | 0.9492 | 0.9414 | 0.9864 |