How to Fine Tune Llama 3 for Better Instruction Following?

Mervin Praison
Mervin Praison
26.6 هزار بار بازدید - 3 ماه پیش - 🚀 In today's video, I'm
🚀 In today's video, I'm thrilled to guide you through the intricate process of fine-tuning the LLaMA 3 model for optimal instruction following! From setting up your environment to saving and uploading your customised model on Hugging Face, I'll cover everything you need to know. 📈 Whether you're a beginner or an experienced AI enthusiast, this tutorial is designed to enhance your skills and provide insights into the importance of model fine-tuning. 🤖💡

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👉 What You'll Learn:
Setup and Configuration: How to prepare your system for fine-tuning.
Training the Model: Detailed steps on how to train your LLaMA 3 model using a specialized dataset.
Saving and Uploading: Best practices for saving your model and uploading it to Hugging Face for community use.

📌 Timestamps:
0:00 Introduction to Fine-Tuning LLaMA 3
0:53 Step-by-Step Setup and Configuration
3:19 Training the Model with Real Data
5:58 Evaluating the Model Pre and Post Training
7:25 Saving and Uploading the Model to Hugging Face

👍 Why Fine-Tune?
Fine-tuning allows you to adapt a base AI model to better understand and respond to specific instructions, drastically improving its accuracy and relevance in practical applications.

🔗 Resources:
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Code: https://mer.vin/2024/04/llama-3-fine-...

💾 Resources & Tools Mentioned:
Hugging Face 🤗
Conda Environments
Python and IPython Packages
Weights & Biases for Tracking Metrics
Open Instruction Generalist Dataset

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3 ماه پیش در تاریخ 1403/01/31 منتشر شده است.
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