---
library_name: peft
base_model: NousResearch/CodeLlama-7b-hf-flash
tags:
- axolotl
- generated_from_trainer
model-index:
- name: d79255d4-de37-4a1c-acbe-b4afcf1ef3ae
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
<br>

# d79255d4-de37-4a1c-acbe-b4afcf1ef3ae

This model is a fine-tuned version of [NousResearch/CodeLlama-7b-hf-flash](https://huggingface.co/NousResearch/CodeLlama-7b-hf-flash) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6920

## 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: 0.000217
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- training_steps: 500

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| No log        | 0.0001 | 1    | 1.1523          |
| 2.1019        | 0.0036 | 50   | 0.9545          |
| 1.8484        | 0.0071 | 100  | 0.8626          |
| 1.614         | 0.0107 | 150  | 0.8326          |
| 1.7271        | 0.0143 | 200  | 0.7981          |
| 1.6794        | 0.0179 | 250  | 0.7719          |
| 1.6688        | 0.0214 | 300  | 0.7394          |
| 1.5337        | 0.0250 | 350  | 0.7123          |
| 1.543         | 0.0286 | 400  | 0.6993          |
| 1.5535        | 0.0322 | 450  | 0.6930          |
| 1.6375        | 0.0357 | 500  | 0.6920          |


### Framework versions

- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1