Downloads · 30 days
17
43% of all-time downloads
pretrained-bert
eyadpy/pretrained-bert
pretrained-bert is a machine learning model from eyadpy. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
probably proofread and complete it, then remove this comment. --
All-time downloads
40
Public
Repo size
1.1 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.h5527 MB · 100%
At a glance
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Jan 12, 2023
- Updated
- Jan 12, 2023
- SHA
- 499acb1e
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
pretrained-bert
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 8.4376
- Validation Loss: 8.8753
- Epoch: 0
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- optimizer: {'name': 'Adam', 'learning_rate': 1e-04, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 8.4376 | 8.8753 | 0 |
Framework versions
- Transformers 4.26.0.dev0
- TensorFlow 2.9.2
- Datasets 2.8.0
- Tokenizers 0.13.2
- Library
- transformers
- Type
- bert
- Created
- Jan 12, 2023
- Updated
- Jan 12, 2023