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# gpt2-tr-wiki

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000

## 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:
- learning_rate: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0           | 1.0   | 1358 | 0.0000          |
| 0.0           | 2.0   | 2716 | 0.0000          |
| 0.0           | 3.0   | 4074 | 0.0000          |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
{"language": ["tr"], "license": "mit", "tags": ["generated_from_trainer"], "datasets": ["umarigan/turkish_wikipedia"], "base_model": "gpt2", "model-index": [{"name": "gpt2-tr-wiki", "results": []}]}
transformers tensorboard safetensors gpt2 text-generation generated_from_trainer tr dataset:umarigan/turkish_wikipedia base_model:gpt2 license:mit autotrain_compatible endpoints_compatible text-generation-inference region:us