---
library_name: peft
base_model: NousResearch/CodeLlama-7b-hf-flash
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 9fe7fc96-6a8c-4ab3-ba1e-77f1980fb606
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

[<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>

# 9fe7fc96-6a8c-4ab3-ba1e-77f1980fb606

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: 0.6941

## 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: 0.000204
- 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          |
| 2.1069        | 0.0036 | 50   | 0.9481          |
| 1.8486        | 0.0071 | 100  | 0.8498          |
| 1.6075        | 0.0107 | 150  | 0.8301          |
| 1.7282        | 0.0143 | 200  | 0.7920          |
| 1.6895        | 0.0179 | 250  | 0.7721          |
| 1.678         | 0.0214 | 300  | 0.7368          |
| 1.5436        | 0.0250 | 350  | 0.7127          |
| 1.5503        | 0.0286 | 400  | 0.7006          |
| 1.5577        | 0.0322 | 450  | 0.6951          |
| 1.643         | 0.0357 | 500  | 0.6941          |


### Framework versions

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