Downloads · 30 days
5
2% of all-time downloads
cvnberk/bert-base-uncased-issues-128
bert-base-uncased-issues-128 is a fill-mask model from cvnberk. 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. --
Downloads · 30 days
5
2% of all-time downloads
All-time downloads
329
Public
Repo size
876 MB
Likes
0
Public
Click a slice to open those files.
.bin438 MB · 100%
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 |
|---|---|---|---|
| 2.0966 | 1.0 | 291 | 1.6190 |
| 1.6197 | 2.0 | 582 | 1.5317 |
| 1.485 | 3.0 | 873 | 1.4164 |
| 1.3992 | 4.0 | 1164 | 1.4064 |
| 1.3219 | 5.0 | 1455 | 1.3900 |
| 1.2851 | 6.0 | 1746 | 1.2096 |
| 1.2328 | 7.0 | 2037 | 1.3019 |
| 1.2113 | 8.0 | 2328 | 1.2779 |
| 1.1674 | 9.0 | 2619 | 1.2312 |
| 1.1443 | 10.0 | 2910 | 1.1830 |
| 1.1171 | 11.0 | 3201 | 1.1692 |
| 1.1067 | 12.0 | 3492 | 1.2364 |
| 1.0846 | 13.0 | 3783 | 1.1871 |
| 1.0815 | 14.0 | 4074 | 1.1354 |
| 1.054 | 15.0 | 4365 | 1.1771 |
| 1.0565 | 16.0 | 4656 | 1.2137 |