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kapliff89/bert-finetuned-ner
bert-finetuned-ner is a token classification model from kapliff89. 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
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More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.0761 | 1.0 | 1756 | 0.0671 | 0.9029 | 0.9330 | 0.9177 | 0.9812 |
| 0.0349 | 2.0 | 3512 | 0.0644 | 0.9315 | 0.9473 | 0.9393 | 0.9860 |
| 0.0209 | 3.0 | 5268 | 0.0603 | 0.9373 | 0.9512 | 0.9442 | 0.9867 |