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Anson212/distilbert-base-uncased-finetuned-ner
distilbert-base-uncased-finetuned-ner is a token classification model from Anson212. 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 None 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 |
|---|---|---|---|---|---|---|---|
| 0.2052 | 1.0 | 865 | 0.0390 | 0.9901 | 0.9901 | 0.9901 | 0.9901 |
| 0.038 | 2.0 | 1730 | 0.0350 | 0.9908 | 0.9908 | 0.9908 | 0.9908 |
| 0.0282 | 3.0 | 2595 | 0.0336 | 0.9911 | 0.9911 | 0.9911 | 0.9911 |