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Florence 2 Fine-Tuning: How to Train a Vision Language Model?
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In this video, we dive deep into fine-tuning Florence 2, a state-of-the-art vision language model by Microsoft. Learn how to enhance your model's capabilities to accurately respond to questions based on image inputs! 📸💬
Coupon: MervinPraison (50% Discount)
What You'll Learn:
Introduction to Florence 2: Understand the basics and why fine-tuning is essential.
Setting Up Your Environment: A step-by-step guide on configuring your GPU and installing necessary libraries.
Creating and Preprocessing Your Dataset: Learn how to prepare your data for training.
Training the Model: Detailed walkthrough of the training process, including embedding conversion and model optimisation.
Uploading to Hugging Face: How to save and share your trained model on Hugging Face.
Why Fine-Tune Florence 2?
Improve Accuracy: Get precise answers to your image-based questions.
Customize for Specific Tasks: Train the model on your own datasets for tailored performance.
Versatile Applications: From document VQA to health anomaly detection, apply the model in various domains.
🔗 Useful Links:
Setup Steps:
Environment Configuration: Setup your GPU and install required modules.
Dataset Preparation: Load and preprocess the document VQA dataset.
Model Training: Fine-tune Florence 2 with custom data.
Save and Deploy: Upload your trained model to Hugging Face for easy access.
Benefits:
Enhanced Model Performance: Fine-tuning improves the model's ability to understand and respond accurately.
Flexible Application: Use your model for diverse tasks like document analysis and medical image evaluation.
Community Sharing: Share your trained model on Hugging Face, benefiting from community feedback and collaboration.
Don't forget to like, share, and subscribe! 👍🔔
Timestamps:
0:00 - Introduction to Fine-Tuning Florence 2
0:21 - Importance of Fine-Tuning
0:51 - Training the Model
1:19 - Document VQA Dataset
2:14 - Environment Setup
3:14 - Data Preparation & Embedding
5:00 - Model Training Process
7:00 - Uploading to Hugging Face
9:25 - Conclusion and Future Videos
Dive into the world of vision language models and elevate your AI projects with our comprehensive tutorial on fine-tuning Florence 2! 🚀
Coupon: MervinPraison (50% Discount)
What You'll Learn:
Introduction to Florence 2: Understand the basics and why fine-tuning is essential.
Setting Up Your Environment: A step-by-step guide on configuring your GPU and installing necessary libraries.
Creating and Preprocessing Your Dataset: Learn how to prepare your data for training.
Training the Model: Detailed walkthrough of the training process, including embedding conversion and model optimisation.
Uploading to Hugging Face: How to save and share your trained model on Hugging Face.
Why Fine-Tune Florence 2?
Improve Accuracy: Get precise answers to your image-based questions.
Customize for Specific Tasks: Train the model on your own datasets for tailored performance.
Versatile Applications: From document VQA to health anomaly detection, apply the model in various domains.
🔗 Useful Links:
Setup Steps:
Environment Configuration: Setup your GPU and install required modules.
Dataset Preparation: Load and preprocess the document VQA dataset.
Model Training: Fine-tune Florence 2 with custom data.
Save and Deploy: Upload your trained model to Hugging Face for easy access.
Benefits:
Enhanced Model Performance: Fine-tuning improves the model's ability to understand and respond accurately.
Flexible Application: Use your model for diverse tasks like document analysis and medical image evaluation.
Community Sharing: Share your trained model on Hugging Face, benefiting from community feedback and collaboration.
Don't forget to like, share, and subscribe! 👍🔔
Timestamps:
0:00 - Introduction to Fine-Tuning Florence 2
0:21 - Importance of Fine-Tuning
0:51 - Training the Model
1:19 - Document VQA Dataset
2:14 - Environment Setup
3:14 - Data Preparation & Embedding
5:00 - Model Training Process
7:00 - Uploading to Hugging Face
9:25 - Conclusion and Future Videos
Dive into the world of vision language models and elevate your AI projects with our comprehensive tutorial on fine-tuning Florence 2! 🚀
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