README.md

metadata

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: VLU_vqa_rad
    results: []

VLU_vqa_rad

This model is a fine-tuned version of 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: 2
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 4
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant
• lr_scheduler_warmup_ratio: 0.03
• num_epochs: 5

Training results

Framework versions

• PEFT 0.13.0
• Transformers 4.45.1
• Pytorch 2.5.1+cu124
• Datasets 3.0.1
• Tokenizers 0.20.3