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YAMATOMOCHIN/bert-base-uncased-issues-128
bert-base-uncased-issues-128 is a fill-mask model from YAMATOMOCHIN. 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 |
|---|---|---|---|
| 2.1 | 1.0 | 291 | 1.6938 |
| 1.6327 | 2.0 | 582 | 1.5078 |
| 1.4985 | 3.0 | 873 | 1.3566 |
| 1.3965 | 4.0 | 1164 | 1.3376 |
| 1.3343 | 5.0 | 1455 | 1.2284 |
| 1.2875 | 6.0 | 1746 | 1.3585 |
| 1.2346 | 7.0 | 2037 | 1.2977 |
| 1.2029 | 8.0 | 2328 | 1.3475 |
| 1.1684 | 9.0 | 2619 | 1.2139 |
| 1.142 | 10.0 | 2910 | 1.1712 |
| 1.1256 | 11.0 | 3201 | 1.1257 |
| 1.1108 | 12.0 | 3492 | 1.1851 |
| 1.0887 | 13.0 | 3783 | 1.2116 |
| 1.0767 | 14.0 | 4074 | 1.2124 |
| 1.0747 | 15.0 | 4365 | 1.2223 |
| 1.0623 | 16.0 | 4656 | 1.2339 |