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edwin66627/huggingface-section-7-2-bert-finetuned-ner-model
huggingface-section-7-2-bert-finetuned-ner-model is a token classification model from edwin66627. 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 |
|---|---|---|---|---|---|---|---|
| 0.0757 | 1.0 | 1756 | 0.0634 | 0.9012 | 0.9337 | 0.9172 | 0.9818 |
| 0.0358 | 2.0 | 3512 | 0.0703 | 0.9354 | 0.9473 | 0.9413 | 0.9857 |
| 0.021 | 3.0 | 5268 | 0.0627 | 0.9338 | 0.9495 | 0.9416 | 0.9861 |