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farfalla/bert-finetuned-ner
bert-finetuned-ner is a token classification model from farfalla. 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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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 |
|---|---|---|---|---|---|---|---|
| 0.0783 | 1.0 | 1756 | 0.0786 | 0.9102 | 0.9360 | 0.9229 | 0.9809 |
| 0.0381 | 2.0 | 3512 | 0.0553 | 0.9303 | 0.9505 | 0.9403 | 0.9864 |
| 0.0269 | 3.0 | 5268 | 0.0591 | 0.9371 | 0.9532 | 0.9451 | 0.9868 |