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AAA01101312/bert-base-uncased-issues-128
bert-base-uncased-issues-128 is a fill-mask model from AAA01101312. 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 |
|---|---|---|---|
| 2.1076 | 1.0 | 292 | 1.6936 |
| 1.6375 | 2.0 | 584 | 1.5055 |
| 1.4807 | 3.0 | 876 | 1.4381 |
| 1.3863 | 4.0 | 1168 | 1.3877 |
| 1.3397 | 5.0 | 1460 | 1.2885 |
| 1.2857 | 6.0 | 1752 | 1.2861 |
| 1.2431 | 7.0 | 2044 | 1.1642 |
| 1.2132 | 8.0 | 2336 | 1.3358 |
| 1.1639 | 9.0 | 2628 | 1.1863 |
| 1.155 | 10.0 | 2920 | 1.2066 |
| 1.124 | 11.0 | 3212 | 1.1249 |
| 1.1046 | 12.0 | 3504 | 1.2248 |
| 1.0992 | 13.0 | 3796 | 1.0654 |
| 1.0774 | 14.0 | 4088 | 1.1763 |
| 1.0724 | 15.0 | 4380 | 1.2023 |
| 1.0494 | 16.0 | 4672 | 1.1961 |