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Elvijs/bert-finetuned-ner
bert-finetuned-ner is a token classification model from Elvijs. 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 |
|---|---|---|---|---|---|---|---|
| 0.0767 | 1.0 | 1756 | 0.0614 | 0.9134 | 0.9394 | 0.9262 | 0.9835 |
| 0.036 | 2.0 | 3512 | 0.0629 | 0.9295 | 0.9468 | 0.9381 | 0.9854 |
| 0.0219 | 3.0 | 5268 | 0.0614 | 0.9378 | 0.9510 | 0.9444 | 0.9867 |