llama_3_2-givcxr-vqa-new

This model is a fine-tuned version of 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