---
license: llama3
tags:
- alignment-handbook
- generated_from_trainer
base_model: meta-llama/Meta-Llama-3-8B-Instruct
datasets:
- princeton-nlp/llama3-ultrafeedback
model-index:
- name: llama-3-8b-instruct-simpo
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# llama-3-8b-instruct-simpo

This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the princeton-nlp/llama3-ultrafeedback dataset.

## 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: 1e-06
- train_batch_size: 2
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 16
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1

### Training results



### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.1+rocm6.0
- Datasets 2.19.2
- Tokenizers 0.19.1

# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_haoranxu__Llama-3-Instruct-8B-SimPO)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |24.71|
|IFEval (0-Shot)    |73.47|
|BBH (3-Shot)       |28.23|
|MATH Lvl 5 (4-Shot)| 7.10|
|GPQA (0-shot)      | 5.37|
|MuSR (0-shot)      | 3.74|
|MMLU-PRO (5-shot)  |30.37|