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Chinny0728/distilbert-base-uncased-finetuned-ner
distilbert-base-uncased-finetuned-ner is a token classification model from Chinny0728. 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
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.2427 | 1.0 | 878 | 0.0667 | 0.9101 | 0.9223 | 0.9162 | 0.9810 |
| 0.0516 | 2.0 | 1756 | 0.0582 | 0.9229 | 0.9355 | 0.9291 | 0.9837 |
| 0.0298 | 3.0 | 2634 | 0.0586 | 0.9292 | 0.9390 | 0.9341 | 0.9845 |