---
library_name: peft
base_model: NousResearch/CodeLlama-13b-hf-flash
tags:
- axolotl
- generated_from_trainer
model-index:
- name: b9b013cc-f1b6-41f9-9ba5-e3cd34cb1567
  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>

# b9b013cc-f1b6-41f9-9ba5-e3cd34cb1567

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: 1.4685

## 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: 0.000202
- 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          |
| 3.7854        | 0.0084 | 50   | 1.6934          |
| 4.0803        | 0.0169 | 100  | 1.7288          |
| 3.8591        | 0.0253 | 150  | 1.6561          |
| 3.7396        | 0.0338 | 200  | 1.6160          |
| 3.5356        | 0.0422 | 250  | 1.5846          |
| 3.3379        | 0.0507 | 300  | 1.5483          |
| 3.1528        | 0.0591 | 350  | 1.5069          |
| 3.1429        | 0.0676 | 400  | 1.4790          |
| 3.061         | 0.0760 | 450  | 1.4701          |
| 3.0799        | 0.0844 | 500  | 1.4685          |


### Framework versions

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