metadata
tags:
- generated_from_keras_callback
model-index:
- name: pretrained-bert
results: []
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