How to Fine Tune Google PaliGemma, a Vision Language Model?

Discover how to fine tune Google PaliGemma vision language model released by Google in this comprehensive tutorial! In this video, you'll learn how to integrate images and text inputs to enhance your AI's understanding of visual content. How to Fine Tune Google PaliGemma, a Vision Language Model? We'll guide you through the entire process, from loading datasets and models to fine-tuning and saving to Hugging Face.

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🔍 What You'll Learn:
Fine-tuning PaliGemma with image and text inputs.
Loading datasets and models efficiently.
Step-by-step model training and saving.
Practical applications of fine-tuned models.

🎓 Key Steps Covered:
Installing necessary packages.
Exporting Hugging Face token.
Loading and processing datasets.
Model fine-tuning with quantised configurations.
Saving and deploying the model.

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Timestamps
0:00 - Introduction and Overview
0:10 - Understanding PaliGemma: A Vision-Language Model by Google
0:54 - Loading Datasets and Packages
2:00 - Preparing Data for Training
2:53 - Loading and Configuring the PaliGemma Model
3:26 - Fine-Tuning the Model
4:30 - Saving the Model to Hugging Face
6:03 - Running and Testing the Fine-Tuned Model
7:00 - Practical Use Cases and Applications
7:31 - Conclusion and Next Steps

#train #paligemma #vlm #google