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BanUrsus/bert-finetuned-ner_NLP-course-chapter7-section1
bert-finetuned-ner_NLP-course-chapter7-section1 is a token classification model from BanUrsus. 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 |
|---|---|---|---|---|---|---|---|
| 0.078 | 1.0 | 1756 | 0.0766 | 0.9111 | 0.9313 | 0.9211 | 0.9804 |
| 0.0408 | 2.0 | 3512 | 0.0621 | 0.9234 | 0.9436 | 0.9334 | 0.9846 |
| 0.0252 | 3.0 | 5268 | 0.0603 | 0.9348 | 0.9514 | 0.9430 | 0.9865 |