bert_5 / README.md
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---
tags:
- generated_from_keras_callback
model-index:
- name: bert_5
results: []
---
<!-- 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. -->
# bert_5
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 7.7984
- Validation Loss: 8.7049
- Epoch: 4
## 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 |
|:----------:|:---------------:|:-----:|
| 8.4283 | 8.6635 | 0 |
| 7.9611 | 8.5577 | 1 |
| 7.8389 | 8.6501 | 2 |
| 7.7437 | 8.6738 | 3 |
| 7.7984 | 8.7049 | 4 |
### Framework versions
- Transformers 4.33.1
- TensorFlow 2.10.0
- Datasets 2.12.0
- Tokenizers 0.13.3