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# starcoder-LORA-endless-sky

This model is a fine-tuned version of [bigcode/starcoder](https://huggingface.co/bigcode/starcoder) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7530

## 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
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 30
- training_steps: 1000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.65          | 0.1   | 100  | 0.5380          |
| 0.5272        | 0.2   | 200  | 0.5640          |
| 0.3858        | 0.3   | 300  | 0.6108          |
| 0.3094        | 0.4   | 400  | 0.6562          |
| 0.2461        | 0.5   | 500  | 0.6810          |
| 0.1998        | 0.6   | 600  | 0.7253          |
| 0.1738        | 0.7   | 700  | 0.7433          |
| 0.1624        | 0.8   | 800  | 0.7539          |
| 0.1623        | 0.9   | 900  | 0.7533          |
| 0.1602        | 1.0   | 1000 | 0.7530          |


### Framework versions

- PEFT 0.8.2
- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2
{"license": "bigcode-openrail-m", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "bigcode/starcoder", "model-index": [{"name": "starcoder-LORA-endless-sky", "results": []}]}
peft tensorboard safetensors generated_from_trainer base_model:bigcode/starcoder license:bigcode-openrail-m endpoints_compatible region:us