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sandeepmaddu/14apr-bert-cased
14apr-bert-cased is a token classification model from sandeepmaddu. 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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.safetensors431 MB · 100%
From the Hugging Face model README
This model is a fine-tuned version of bert-base-cased on the None 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 |
|---|---|---|---|---|---|---|---|
| 0.1405 | 1.0 | 2500 | 0.1016 | 0.9731 | 0.9761 | 0.9746 | 0.9721 |
| 0.0994 | 2.0 | 5000 | 0.0939 | 0.9776 | 0.9774 | 0.9775 | 0.9750 |
| 0.0731 | 3.0 | 7500 | 0.0968 | 0.9783 | 0.9790 | 0.9787 | 0.9767 |
| 0.045 | 4.0 | 10000 | 0.1075 | 0.9790 | 0.9798 | 0.9794 | 0.9773 |
| 0.035 | 5.0 | 12500 | 0.1141 | 0.9797 | 0.9796 | 0.9797 | 0.9774 |