Extracting data from images can be a challenge, but with Llama models, it doesn't have to be. In this tutorial, you'll learn how to fine-tune Llama 11B Vision Instruct to improve performance for image-to-JSON data extraction. We will go over how to customize and evaluate Llama models for this specific use case while preserving existing knowledge.
You’ll learn how to:
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Extract structured data from images using vision models
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Achieve performance improvements with minimal adjustments
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Prepare and split datasets for model training
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Evaluate base model performance
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Understand model training configurations and their components
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Verify that specialized training doesn't negatively impact general performance
Start customizing Llama for your use case today! Head to the GitHub recipe to get started:
