---
library_name: peft
license: llama3.2
base_model: unsloth/Llama-3.2-11B-Vision-Instruct-bnb-4bit
tags:
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: lora
  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. -->

# lora

This model is a fine-tuned version of [unsloth/Llama-3.2-11B-Vision-Instruct-bnb-4bit](https://huggingface.co/unsloth/Llama-3.2-11B-Vision-Instruct-bnb-4bit) on the imagefolder 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: 0.0001
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Use adamw_hf with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 60

### Training results



### Framework versions

- PEFT 0.13.2
- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.0.2
- Tokenizers 0.20.1