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makaniski/bert-base-uncased-issues-128
bert-base-uncased-issues-128 is a fill-mask model from makaniski. 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 |
|---|---|---|---|
| 2.1103 | 1.0 | 291 | 1.6937 |
| 1.6335 | 2.0 | 582 | 1.3744 |
| 1.4812 | 3.0 | 873 | 1.4336 |
| 1.3971 | 4.0 | 1164 | 1.4362 |
| 1.3464 | 5.0 | 1455 | 1.2699 |
| 1.2876 | 6.0 | 1746 | 1.3192 |
| 1.2284 | 7.0 | 2037 | 1.2069 |
| 1.2096 | 8.0 | 2328 | 1.2780 |
| 1.1787 | 9.0 | 2619 | 1.2831 |
| 1.1493 | 10.0 | 2910 | 1.2099 |
| 1.1242 | 11.0 | 3201 | 1.2721 |
| 1.1006 | 12.0 | 3492 | 1.1517 |
| 1.0914 | 13.0 | 3783 | 1.1563 |
| 1.0782 | 14.0 | 4074 | 1.0730 |
| 1.0647 | 15.0 | 4365 | 1.2635 |
| 1.0702 | 16.0 | 4656 | 1.1776 |