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---
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
---
# 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 |