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SAnsAN-9119/distilbert-base-uncased-finetuned-ner
distilbert-base-uncased-finetuned-ner is a token classification model from SAnsAN-9119. 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 |
|---|---|---|---|---|---|---|---|
| 0.2507 | 1.0 | 878 | 0.0708 | 0.9011 | 0.9182 | 0.9096 | 0.9797 |
| 0.0526 | 2.0 | 1756 | 0.0609 | 0.9237 | 0.9321 | 0.9279 | 0.9831 |
| 0.0304 | 3.0 | 2634 | 0.0623 | 0.9271 | 0.9362 | 0.9316 | 0.9836 |