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tanviraumi/bert-base-uncased-issues-128
bert-base-uncased-issues-128 is a fill-mask model from tanviraumi. 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 |
|---|---|---|---|
| 2.3389 | 1.0 | 73 | 1.7400 |
| 1.8014 | 2.0 | 146 | 1.4690 |
| 1.634 | 3.0 | 219 | 1.4783 |
| 1.5461 | 4.0 | 292 | 1.3912 |
| 1.4706 | 5.0 | 365 | 1.3109 |
| 1.4161 | 6.0 | 438 | 1.3405 |
| 1.3664 | 7.0 | 511 | 1.3459 |
| 1.332 | 8.0 | 584 | 1.2745 |
| 1.3029 | 9.0 | 657 | 1.2633 |
| 1.2871 | 10.0 | 730 | 1.2336 |
| 1.2807 | 11.0 | 803 | 1.2966 |
| 1.2569 | 12.0 | 876 | 1.1508 |
| 1.2392 | 13.0 | 949 | 1.2530 |
| 1.237 | 14.0 | 1022 | 1.2485 |
| 1.2169 | 15.0 | 1095 | 1.2592 |
| 1.2272 | 16.0 | 1168 | 1.2337 |