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raulgdp/bert-base-case-ner
bert-base-case-ner is a token classification model from raulgdp. 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 google-bert/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 |
|---|---|---|---|---|---|---|---|
| 0.1035 | 1.0 | 1041 | 0.1460 | 0.7285 | 0.7590 | 0.7434 | 0.9614 |
| 0.0684 | 2.0 | 2082 | 0.1438 | 0.7017 | 0.7767 | 0.7373 | 0.9631 |
| 0.0423 | 3.0 | 3123 | 0.1504 | 0.7591 | 0.7978 | 0.7780 | 0.9670 |
| 0.0278 | 4.0 | 4164 | 0.1606 | 0.7683 | 0.8008 | 0.7842 | 0.9670 |
| 0.0207 | 5.0 | 5205 | 0.1741 | 0.7713 | 0.8081 | 0.7893 | 0.9675 |