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GustawB/distilbert-finetuned-ner
distilbert-finetuned-ner is a token classification model from GustawB. 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 distilbert-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 |
|---|---|---|---|---|---|---|---|
| 0.0937 | 1.0 | 1756 | 0.0894 | 0.8737 | 0.9010 | 0.8872 | 0.9733 |
| 0.045 | 2.0 | 3512 | 0.0833 | 0.9117 | 0.9258 | 0.9187 | 0.9802 |
| 0.0299 | 3.0 | 5268 | 0.0748 | 0.9139 | 0.9342 | 0.9239 | 0.9820 |