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kjunelee/bert-base-uncased-issues-128
bert-base-uncased-issues-128 is a fill-mask model from kjunelee. Use it when you need the model to fill a missing word. 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 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 |
|---|---|---|---|
| 2.193 | 1.0 | 146 | 1.7004 |
| 1.7081 | 2.0 | 292 | 1.4895 |
| 1.5458 | 3.0 | 438 | 1.4427 |
| 1.4715 | 4.0 | 584 | 1.4081 |
| 1.3944 | 5.0 | 730 | 1.3163 |
| 1.3396 | 6.0 | 876 | 1.3200 |
| 1.2945 | 7.0 | 1022 | 1.2785 |
| 1.2652 | 8.0 | 1168 | 1.2473 |
| 1.2332 | 9.0 | 1314 | 1.2321 |
| 1.2042 | 10.0 | 1460 | 1.2162 |
| 1.204 | 11.0 | 1606 | 1.1781 |
| 1.1866 | 12.0 | 1752 | 1.2211 |
| 1.1592 | 13.0 | 1898 | 1.2801 |
| 1.1503 | 14.0 | 2044 | 1.1768 |
| 1.1268 | 15.0 | 2190 | 1.1657 |
| 1.1521 | 16.0 | 2336 | 1.2314 |