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# wikibert-ten

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: 8.0391
- Validation Loss: 8.0776
- Epoch: 2

## 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', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 0.001, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 8.1633     | 8.0818          | 0     |
| 8.0523     | 8.0999          | 1     |
| 8.0391     | 8.0776          | 2     |


### Framework versions

- Transformers 4.37.0
- TensorFlow 2.15.0
- Datasets 2.17.0
- Tokenizers 0.15.1

{"tags": ["generated_from_keras_callback"], "model-index": [{"name": "wikibert-ten", "results": []}]}
transformers tf bert pretraining generated_from_keras_callback endpoints_compatible region:us