---
license: mit
base_model: gpt2
tags:
- generated_from_keras_callback
model-index:
- name: deneme
  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. -->

# deneme

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 4.9458
- Validation Loss: 6.8594
- Epoch: 29

## 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': 'AdamWeightDecay', 'learning_rate': {'module': 'transformers.optimization_tf', 'class_name': 'WarmUp', 'config': {'initial_learning_rate': 5e-05, 'decay_schedule_fn': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': -958, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'warmup_steps': 1000, 'power': 1.0, 'name': None}, 'registered_name': 'WarmUp'}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 9.6934     | 9.6704          | 0     |
| 9.4105     | 9.4160          | 1     |
| 9.1023     | 9.1460          | 2     |
| 8.7843     | 8.8812          | 3     |
| 8.4798     | 8.6399          | 4     |
| 8.2009     | 8.4204          | 5     |
| 7.9445     | 8.2215          | 6     |
| 7.7117     | 8.0412          | 7     |
| 7.4965     | 7.8807          | 8     |
| 7.2929     | 7.7610          | 9     |
| 7.1028     | 7.6524          | 10    |
| 6.9102     | 7.5430          | 11    |
| 6.7196     | 7.4545          | 12    |
| 6.5149     | 7.3501          | 13    |
| 6.3265     | 7.2721          | 14    |
| 6.1167     | 7.1747          | 15    |
| 5.9178     | 7.0857          | 16    |
| 5.7101     | 7.0159          | 17    |
| 5.5075     | 6.9416          | 18    |
| 5.2990     | 6.8977          | 19    |
| 5.0966     | 6.8594          | 20    |
| 4.9436     | 6.8594          | 21    |
| 4.9450     | 6.8594          | 22    |
| 4.9446     | 6.8594          | 23    |
| 4.9422     | 6.8594          | 24    |
| 4.9412     | 6.8594          | 25    |
| 4.9436     | 6.8594          | 26    |
| 4.9455     | 6.8594          | 27    |
| 4.9467     | 6.8594          | 28    |
| 4.9458     | 6.8594          | 29    |


### Framework versions

- Transformers 4.38.2
- TensorFlow 2.15.0
- Datasets 2.18.0
- Tokenizers 0.15.2