---
library_name: peft
license: llama3.2
base_model: unsloth/llama-3.2-11b-vision-instruct-unsloth-bnb-4bit
tags:
- base_model:adapter:unsloth/llama-3.2-11b-vision-instruct-unsloth-bnb-4bit
- lora
- sft
- transformers
- trl
- unsloth
pipeline_tag: text-generation
model-index:
- name: llama_3_2-givcxr-vqa-new
  results: []
---

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[<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/bavanasreevaatsav1/llama_3_2-givcxr-finetuning-new/runs/3b5t8zc2)
# llama_3_2-givcxr-vqa-new

This model is a fine-tuned version of [unsloth/llama-3.2-11b-vision-instruct-unsloth-bnb-4bit](https://huggingface.co/unsloth/llama-3.2-11b-vision-instruct-unsloth-bnb-4bit) 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: 0.0001
- train_batch_size: 24
- eval_batch_size: 4
- seed: 3407
- gradient_accumulation_steps: 2
- total_train_batch_size: 48
- optimizer: Use adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.1
- lr_scheduler_warmup_steps: 5
- num_epochs: 1

### Framework versions

- PEFT 0.16.0
- Transformers 4.53.2
- Pytorch 2.7.1+cu126
- Datasets 3.6.0
- Tokenizers 0.21.2