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D2Sakai/distilbert-finetuned-ner
distilbert-finetuned-ner is a token classification model from D2Sakai. 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-uncased on the conll2003 dataset. It achieves the following results on the evaluation set:
More information needed
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The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.2505 | 1.0 | 878 | 0.0693 | 0.9063 | 0.9224 | 0.9143 | 0.9802 |
| 0.0525 | 2.0 | 1756 | 0.0616 | 0.9206 | 0.9331 | 0.9268 | 0.9828 |
| 0.0296 | 3.0 | 2634 | 0.0634 | 0.9267 | 0.9358 | 0.9312 | 0.9832 |