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BrandonM001/bert-finetuned-ner5
bert-finetuned-ner5 is a token classification model from BrandonM001. 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 |
|---|---|---|---|---|---|---|---|
| 0.0234 | 1.0 | 1756 | 0.0700 | 0.9260 | 0.9433 | 0.9346 | 0.9851 |
| 0.0156 | 2.0 | 3512 | 0.0730 | 0.9316 | 0.9470 | 0.9392 | 0.9858 |
| 0.007 | 3.0 | 5268 | 0.0843 | 0.9324 | 0.9517 | 0.9420 | 0.9859 |
| 0.0052 | 4.0 | 7024 | 0.0912 | 0.9365 | 0.9534 | 0.9449 | 0.9867 |
| 0.0019 | 5.0 | 8780 | 0.0931 | 0.9392 | 0.9539 | 0.9465 | 0.9869 |