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Thi-Thu-Huong/distilbert-base-uncased-finetuned-tokenclassification
distilbert-base-uncased-finetuned-tokenclassification is a token classification model from Thi-Thu-Huong. 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 |
|---|---|---|---|---|---|---|---|
| 0.2459 | 1.0 | 878 | 0.0716 | 0.9191 | 0.9220 | 0.9206 | 0.9814 |
| 0.0545 | 2.0 | 1756 | 0.0620 | 0.9239 | 0.9349 | 0.9294 | 0.9829 |
| 0.0292 | 3.0 | 2634 | 0.0622 | 0.9239 | 0.9359 | 0.9299 | 0.9834 |