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doxiy/bert-finetuned-ner
bert-finetuned-ner is a token classification model from doxiy. 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
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.0835 | 1.0 | 1756 | 0.0716 | 0.9167 | 0.9283 | 0.9225 | 0.9808 |
| 0.0369 | 2.0 | 3512 | 0.0679 | 0.9394 | 0.9387 | 0.9391 | 0.9850 |
| 0.0263 | 3.0 | 5268 | 0.0621 | 0.9396 | 0.9456 | 0.9426 | 0.9861 |