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kswada/bert-base-uncased-issues-128
bert-base-uncased-issues-128 is a machine learning model from kswada. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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 |
|---|---|---|---|
| 2.101 | 1.0 | 291 | 1.7121 |
| 1.6363 | 2.0 | 582 | 1.5069 |
| 1.4979 | 3.0 | 873 | 1.3612 |
| 1.3964 | 4.0 | 1164 | 1.3421 |
| 1.3323 | 5.0 | 1455 | 1.2287 |
| 1.288 | 6.0 | 1746 | 1.3609 |
| 1.2321 | 7.0 | 2037 | 1.3087 |
| 1.2018 | 8.0 | 2328 | 1.3420 |
| 1.167 | 9.0 | 2619 | 1.2250 |
| 1.1402 | 10.0 | 2910 | 1.1748 |
| 1.126 | 11.0 | 3201 | 1.1265 |
| 1.1109 | 12.0 | 3492 | 1.1797 |
| 1.0865 | 13.0 | 3783 | 1.2223 |
| 1.0747 | 14.0 | 4074 | 1.2107 |
| 1.0707 | 15.0 | 4365 | 1.2308 |
| 1.061 | 16.0 | 4656 | 1.2379 |