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# 🧠 GPT2-124M-wikitext-v0.1

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the [wikitext](https://huggingface.co/datasets/wikitext).
It achieves the following results on the evaluation set:
- Loss: 2.9841

## Model description

This is a practical hands-on experience for better understanding 🤗 Transformers and 🤗 Datasets. This model is GPT2(124M) fine-tuned on wikitext(103-raw-v1) on 1 x RTX 4090.

## 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: 2e-05
- 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

### Training results

| Training Loss | Epoch | Step   | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 3.1335        | 1.0   | 57467  | 3.0363          |
| 3.0643        | 2.0   | 114934 | 2.9968          |
| 3.0384        | 3.0   | 172401 | 2.9841          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
{"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["wikitext"], "base_model": "gpt2", "pipeline_tag": "text-generation", "co2_eq_emissions": {"emissions": 500, "training_type": "fine-tuning", "source": "mlco2", "geographical_location": "Bucharest, Romania", "hardware_used": "1 x RTX 4090 GPU"}, "model-index": [{"name": "GPT2-124M-wikitext-v0.1", "results": []}]}
transformers tensorboard safetensors gpt2 text-generation generated_from_trainer dataset:wikitext base_model:gpt2 license:mit co2_eq_emissions autotrain_compatible endpoints_compatible text-generation-inference region:us