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kanak8278/bert-finetuned-ner
bert-finetuned-ner is a token classification model from kanak8278. 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 an unknown dataset. It achieves the following results on the evaluation set:
More information needed
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More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.1312 | 1.0 | 895 | 0.0957 | 0.8112 | 0.7853 | 0.7981 | 0.9577 |
| 0.0897 | 2.0 | 1790 | 0.1037 | 0.8345 | 0.7914 | 0.8124 | 0.9577 |
| 0.0696 | 3.0 | 2685 | 0.1083 | 0.8368 | 0.7914 | 0.8135 | 0.9579 |
| 0.0524 | 4.0 | 3580 | 0.1268 | 0.7835 | 0.8172 | 0.8000 | 0.9580 |
| 0.0451 | 5.0 | 4475 | 0.1628 | 0.7877 | 0.825 | 0.8059 | 0.9573 |
| 0.032 | 6.0 | 5370 | 0.1977 | 0.8002 | 0.8043 | 0.8022 | 0.9570 |
| 0.0231 | 7.0 | 6265 | 0.2178 | 0.8045 | 0.8052 | 0.8048 | 0.9570 |
| 0.0183 | 8.0 | 7160 | 0.2364 | 0.8092 | 0.8078 | 0.8085 | 0.9582 |