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# codellama-hugcoder

This model is a fine-tuned version of [codellama/CodeLlama-7b-Instruct-hf](https://huggingface.co/codellama/CodeLlama-7b-Instruct-hf) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5142

## 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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 11
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 2000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5659        | 0.05  | 100  | 0.6557          |
| 0.5163        | 0.1   | 200  | 0.6067          |
| 0.5285        | 0.15  | 300  | 0.5812          |
| 0.5208        | 0.2   | 400  | 0.5688          |
| 0.5742        | 0.25  | 500  | 0.5599          |
| 0.5555        | 0.3   | 600  | 0.5517          |
| 0.5125        | 0.35  | 700  | 0.5458          |
| 0.5493        | 0.4   | 800  | 0.5390          |
| 0.553         | 0.45  | 900  | 0.5339          |
| 0.5083        | 0.5   | 1000 | 0.5298          |
| 0.5208        | 0.55  | 1100 | 0.5254          |
| 0.4705        | 0.6   | 1200 | 0.5226          |
| 0.4884        | 0.65  | 1300 | 0.5205          |
| 0.3963        | 0.7   | 1400 | 0.5184          |
| 0.4979        | 0.75  | 1500 | 0.5164          |
| 0.5225        | 0.8   | 1600 | 0.5155          |
| 0.519         | 0.85  | 1700 | 0.5145          |
| 0.4614        | 0.9   | 1800 | 0.5141          |
| 0.494         | 0.95  | 1900 | 0.5142          |
| 0.4987        | 1.0   | 2000 | 0.5142          |


### Framework versions

- PEFT 0.8.2
- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
{"license": "llama2", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "codellama/CodeLlama-7b-Instruct-hf", "model-index": [{"name": "codellama-hugcoder", "results": []}]}
peft tensorboard safetensors generated_from_trainer base_model:codellama/CodeLlama-7b-Instruct-hf license:llama2 region:us