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muazmaqbool/bert-finetuned-ner-practice
bert-finetuned-ner-practice is a token classification model from muazmaqbool. 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-uncased 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 | Accuracy | F1 | Validation Loss | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.1135 | 1.0 | 4317 | 0.9676 | 0.8201 | 0.1091 | 0.8181 | 0.8221 |
| 0.0859 | 2.0 | 8634 | 0.9692 | 0.8288 | 0.1000 | 0.8271 | 0.8305 |
| 0.0655 | 3.0 | 12951 | 0.9694 | 0.8317 | 0.1057 | 0.8261 | 0.8373 |
| 0.0631 | 4.0 | 17268 | 0.1103 | 0.8234 | 0.8366 | 0.8300 | 0.9692 |
| 0.0469 | 5.0 | 21585 | 0.1172 | 0.8248 | 0.8363 | 0.8305 | 0.9692 |