---
library_name: peft
base_model: NousResearch/CodeLlama-13b-hf-flash
tags:
- axolotl
- generated_from_trainer
model-index:
- name: ef1d817c-d307-4432-be40-8d62c1ccceed
  results: []
---

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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>

# ef1d817c-d307-4432-be40-8d62c1ccceed

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: 1.2801

## 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: 0.000212
- train_batch_size: 4
- eval_batch_size: 4
- seed: 120
- 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        | 0.0000 | 1    | 2.2917          |
| 3.2582        | 0.0024 | 50   | 1.5773          |
| 3.0859        | 0.0047 | 100  | 1.4720          |
| 3.1501        | 0.0071 | 150  | 1.5418          |
| 3.0678        | 0.0094 | 200  | 1.5444          |
| 2.8509        | 0.0118 | 250  | 1.4362          |
| 2.949         | 0.0141 | 300  | 1.3197          |
| 2.7131        | 0.0165 | 350  | 1.2930          |
| 2.8697        | 0.0188 | 400  | 1.2848          |
| 2.7921        | 0.0212 | 450  | 1.2807          |
| 2.788         | 0.0235 | 500  | 1.2801          |


### Framework versions

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