---
library_name: peft
license: llama3.2
base_model: unsloth/Llama-3.2-3B
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 643f6989-fa50-44bc-bd6f-c74835e5bd8d
  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>

# 643f6989-fa50-44bc-bd6f-c74835e5bd8d

This model is a fine-tuned version of [unsloth/Llama-3.2-3B](https://huggingface.co/unsloth/Llama-3.2-3B) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5222

## 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: 0.000218
- 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    | 1.0245          |
| 0.6082        | 0.0094 | 50   | 0.6115          |
| 0.4782        | 0.0188 | 100  | 0.5893          |
| 0.4931        | 0.0282 | 150  | 0.5822          |
| 0.4864        | 0.0376 | 200  | 0.5659          |
| 0.4884        | 0.0470 | 250  | 0.5537          |
| 0.4998        | 0.0564 | 300  | 0.5474          |
| 0.4591        | 0.0658 | 350  | 0.5349          |
| 0.4749        | 0.0752 | 400  | 0.5290          |
| 0.4685        | 0.0846 | 450  | 0.5237          |
| 0.4406        | 0.0940 | 500  | 0.5222          |


### Framework versions

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