---
library_name: peft
base_model: NousResearch/CodeLlama-13b-hf-flash
tags:
- axolotl
- generated_from_trainer
model-index:
- name: f0e30dc1-b24e-4ada-8ffd-e2c196e741d2
  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>

# f0e30dc1-b24e-4ada-8ffd-e2c196e741d2

This model is a fine-tuned version of [NousResearch/CodeLlama-13b-hf-flash](https://huggingface.co/NousResearch/CodeLlama-13b-hf-flash) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4702

## 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: 0.000214
- 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        | 0.0002 | 1    | 2.8470          |
| 3.773         | 0.0084 | 50   | 1.7027          |
| 4.0946        | 0.0169 | 100  | 1.7499          |
| 3.8281        | 0.0253 | 150  | 1.6789          |
| 3.7922        | 0.0338 | 200  | 1.6119          |
| 3.5592        | 0.0422 | 250  | 1.6014          |
| 3.3199        | 0.0507 | 300  | 1.5677          |
| 3.1454        | 0.0591 | 350  | 1.5117          |
| 3.1658        | 0.0676 | 400  | 1.4808          |
| 3.0588        | 0.0760 | 450  | 1.4718          |
| 3.0986        | 0.0844 | 500  | 1.4702          |


### Framework versions

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