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annabellehuether/bert-base-cased-news-16batch_10epoch_2e5lr_01wd
bert-base-cased-news-16batch_10epoch_2e5lr_01wd is a text classification model from annabellehuether. Use it when you need a label for a piece of text. 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 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 | F1 |
|---|---|---|---|---|
| 0.0626 | 1.0 | 3124 | 0.2043 | 0.9160 |
| 0.0337 | 2.0 | 6248 | 0.2799 | 0.9154 |
| 0.0243 | 3.0 | 9372 | 0.2959 | 0.9144 |
| 0.0077 | 4.0 | 12496 | 0.3115 | 0.9195 |
| 0.0085 | 5.0 | 15620 | 0.3588 | 0.9172 |
| 0.0073 | 6.0 | 18744 | 0.3413 | 0.9175 |
| 0.0028 | 7.0 | 21868 | 0.3517 | 0.9217 |
| 0.001 | 8.0 | 24992 | 0.4161 | 0.9238 |
| 0.0011 | 9.0 | 28116 | 0.4539 | 0.9230 |
| 0.0 | 10.0 | 31240 | 0.4558 | 0.9211 |