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thawait/distilbert-base-cased-finetuned-ner
distilbert-base-cased-finetuned-ner is a token classification model from thawait. 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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.safetensors261 MB · 100%
From the Hugging Face model README
This model is a fine-tuned version of distilbert-base-cased on an unknown 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 |
|---|---|---|---|---|---|---|---|
| 0.2888 | 1.0 | 878 | 0.0985 | 0.8660 | 0.8873 | 0.8765 | 0.9704 |
| 0.0669 | 2.0 | 1756 | 0.0801 | 0.9240 | 0.9136 | 0.9188 | 0.9791 |
| 0.0389 | 3.0 | 2634 | 0.0731 | 0.9208 | 0.9240 | 0.9224 | 0.9804 |