---
library_name: peft
license: llama3.2
base_model: NousResearch/Llama-3.2-1B
tags:
- axolotl
- generated_from_trainer
model-index:
- name: a0779866-1f51-4925-860d-00cf019236b0
  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>

# a0779866-1f51-4925-860d-00cf019236b0

This model is a fine-tuned version of [NousResearch/Llama-3.2-1B](https://huggingface.co/NousResearch/Llama-3.2-1B) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7908

## 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: 0.000204
- 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    | 1.3080          |
| 0.9993        | 0.0121 | 50   | 1.0143          |
| 0.9247        | 0.0242 | 100  | 1.0134          |
| 0.8933        | 0.0363 | 150  | 0.9623          |
| 0.9655        | 0.0484 | 200  | 0.9523          |
| 0.8654        | 0.0605 | 250  | 0.8886          |
| 0.8406        | 0.0726 | 300  | 0.8539          |
| 0.8368        | 0.0847 | 350  | 0.8226          |
| 0.785         | 0.0968 | 400  | 0.8037          |
| 0.6706        | 0.1089 | 450  | 0.7931          |
| 0.7728        | 0.1210 | 500  | 0.7908          |


### Framework versions

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