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nademaaltijd/bert-finetuned-ner2
bert-finetuned-ner2 is a token classification model from nademaaltijd. 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 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 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 249 | 0.2517 | 0.5016 | 0.6594 | 0.5698 | 0.9467 |
| No log | 2.0 | 498 | 0.2963 | 0.4919 | 0.6904 | 0.5745 | 0.9445 |
| 0.0376 | 3.0 | 747 | 0.3209 | 0.4736 | 0.6863 | 0.5605 | 0.9407 |
| 0.0376 | 4.0 | 996 | 0.3206 | 0.5175 | 0.6729 | 0.5850 | 0.9461 |
| 0.018 | 5.0 | 1245 | 0.3371 | 0.5011 | 0.6894 | 0.5804 | 0.9442 |