---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: meta-llama/Meta-Llama-3-8B
model-index:
- name: out
  results: []
datasets:
- jondurbin/airoboros-3.2
---

![](https://raw.githubusercontent.com/saucam/models/main/llama-aero.png)

# llama-airo-3

[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)

## Details

This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the jondurbin/airoboros-3.2 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8437

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.1845        | 0.0   | 1    | 1.1821          |
| 0.9328        | 0.25  | 114  | 0.9228          |
| 0.8961        | 0.5   | 228  | 0.8713          |
| 0.824         | 0.75  | 342  | 0.8437          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.0.dev0
- Pytorch 2.1.2+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

## Eval Results

 |Benchmark|                          Model                           |agieval|gpt4all|bigbench|truthfulqa|Average|
|---------|----------------------------------------------------------|------:|------:|-------:|---------:|------:|
|nous     |[llama-airo-3](https://huggingface.co/saucam/llama-airo-3)|  36.59|  72.24|   39.26|      56.3|   51.1|
|nous|[meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B)|31.1|69.95|36.7|43.91|45.42|

 |Benchmark|                          Model                           |winogrande| arc |gsm8k|mmlu |truthfulqa|hellaswag|Average|
|---------|----------------------------------------------------------|---------:|----:|----:|----:|---------:|--------:|------:|
|openllm  |[llama-airo-3](https://huggingface.co/saucam/llama-airo-3)|     78.22|61.01|56.33|64.79|     56.35|    82.42|  66.52|
|openllm  |[Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B)|     77.58|57.51|50.87|65.04|     43.93|    82.09|  62.84|

Detailed Results: https://github.com/saucam/model_evals/tree/main/saucam/llama-airo-3