---
library_name: peft
license: llama3.2
base_model: unsloth/Llama-3.2-1B
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 8f877535-2225-4f06-8e13-0c0fdd1d6ef4
  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>

# 8f877535-2225-4f06-8e13-0c0fdd1d6ef4

This model is a fine-tuned version of [unsloth/Llama-3.2-1B](https://huggingface.co/unsloth/Llama-3.2-1B) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1170

## 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: 0.000211
- 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    | 2.8852          |
| 2.4275        | 0.0083 | 50   | 2.6171          |
| 2.824         | 0.0165 | 100  | 2.5240          |
| 2.4004        | 0.0248 | 150  | 2.5001          |
| 2.9257        | 0.0331 | 200  | 2.4139          |
| 2.6891        | 0.0413 | 250  | 2.3516          |
| 2.1185        | 0.0496 | 300  | 2.3056          |
| 2.7748        | 0.0578 | 350  | 2.1765          |
| 2.5273        | 0.0661 | 400  | 2.1290          |
| 2.3927        | 0.0744 | 450  | 2.1086          |
| 2.2059        | 0.0826 | 500  | 2.1170          |


### Framework versions

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