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fibleep/bert-base-uncased-issues-128
bert-base-uncased-issues-128 is a fill-mask model from fibleep. 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 |
|---|---|---|---|
| 2.0986 | 1.0 | 291 | 1.6928 |
| 1.6392 | 2.0 | 582 | 1.4295 |
| 1.4873 | 3.0 | 873 | 1.3904 |
| 1.3995 | 4.0 | 1164 | 1.3811 |
| 1.341 | 5.0 | 1455 | 1.1973 |
| 1.2807 | 6.0 | 1746 | 1.2738 |
| 1.2394 | 7.0 | 2037 | 1.2633 |
| 1.1993 | 8.0 | 2328 | 1.2103 |
| 1.1656 | 9.0 | 2619 | 1.1839 |
| 1.1403 | 10.0 | 2910 | 1.2228 |
| 1.1289 | 11.0 | 3201 | 1.2081 |
| 1.104 | 12.0 | 3492 | 1.1652 |
| 1.0823 | 13.0 | 3783 | 1.2508 |
| 1.0736 | 14.0 | 4074 | 1.1687 |
| 1.0625 | 15.0 | 4365 | 1.1168 |
| 1.0626 | 16.0 | 4656 | 1.2464 |