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# gpt2-alpaca-instruction-fine-tuning-qlora

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:
- Loss: 1.8330

## 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: 0.0005
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.1183        | 0.11  | 1000 | 1.8975          |
| 2.1329        | 0.22  | 2000 | 1.8818          |
| 2.1179        | 0.33  | 3000 | 1.8770          |
| 2.0949        | 0.44  | 4000 | 1.8662          |
| 2.0871        | 0.55  | 5000 | 1.8477          |
| 2.0668        | 0.66  | 6000 | 1.8447          |
| 2.0636        | 0.77  | 7000 | 1.8379          |
| 2.0442        | 0.88  | 8000 | 1.8311          |
| 2.0597        | 0.99  | 9000 | 1.8330          |


### Framework versions

- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3

{"license": "mit", "tags": ["generated_from_trainer"], "base_model": "gpt2", "model-index": [{"name": "gpt2-alpaca-instruction-fine-tuning-qlora", "results": []}]}
generated_from_trainer base_model:gpt2 license:mit region:us