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Kudod/bert-finetuned-ner-3090-11June
bert-finetuned-ner-3090-11June is a token classification model from Kudod. 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 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 |
|---|---|---|---|---|---|---|---|
| 0.0742 | 1.0 | 1756 | 0.0649 | 0.9099 | 0.9334 | 0.9215 | 0.9815 |
| 0.0371 | 2.0 | 3512 | 0.0678 | 0.9307 | 0.9448 | 0.9377 | 0.9851 |
| 0.0213 | 3.0 | 5268 | 0.0620 | 0.9325 | 0.9507 | 0.9415 | 0.9862 |
| 0.0142 | 4.0 | 7024 | 0.0707 | 0.9357 | 0.9504 | 0.9430 | 0.9863 |
| 0.0059 | 5.0 | 8780 | 0.0745 | 0.9397 | 0.9524 | 0.9460 | 0.9869 |