---
library_name: peft
license: llama3.2
base_model: meta-llama/Llama-3.2-11B-Vision-Instruct
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: fine-tuned-visionllama_2
  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/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/august-gislerud-rolfsen-relu/Dummy/runs/yp8679pw)
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/august-gislerud-rolfsen-relu/Dummy/runs/yp8679pw)
# fine-tuned-visionllama_2

This model is a fine-tuned version of [meta-llama/Llama-3.2-11B-Vision-Instruct](https://huggingface.co/meta-llama/Llama-3.2-11B-Vision-Instruct) 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: 0.0002
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 0.002

### Framework versions

- PEFT 0.13.0
- Transformers 4.45.1
- Pytorch 2.2.2+cu121
- Datasets 3.0.1
- Tokenizers 0.20.3