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shubingxl/bert-finetuned-ner
bert-finetuned-ner is a token classification model from shubingxl. 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 bert-base-cased on the wnut_17 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 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 425 | 0.4089 | 0.4827 | 0.2586 | 0.3368 | 0.9314 |
| 0.2032 | 2.0 | 850 | 0.4356 | 0.5435 | 0.2836 | 0.3727 | 0.9337 |
| 0.0815 | 3.0 | 1275 | 0.4341 | 0.5380 | 0.3216 | 0.4026 | 0.9367 |