---
license: llama3
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: llava-hf/llama3-llava-next-8b-hf
model-index:
- name: llama3-llava-next-8b-SCAND
  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. -->

# llama3-llava-next-8b-SCAND

This model is a fine-tuned version of [llava-hf/llama3-llava-next-8b-hf](https://huggingface.co/llava-hf/llama3-llava-next-8b-hf) on an unknown 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 3
- total_train_batch_size: 96
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2.0
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.3.0+cu121
- Datasets 2.16.1
- Tokenizers 0.19.1