GenAI & LLMs | Video 5 | Part 4 | Solution for Assignment-3 | Venkat Reddy AI Classes
Code File - https://colab.research.google.com/dri...
Assignment Material Link
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In this video tutorial, we dive deep into fine-tuning pre-trained Hugging Face models, specifically using the DistilBERT model for emotion detection. Before you begin, ensure you have completed the previous five videos and attempted the assignment on your own. The key focus of this session is to first utilize the DistilBERT model without fine-tuning, highlighting the importance of model customization.
The model's initial performance may be subpar, given that it hasn't been exposed to our specific dataset. We'll then walk through the steps to fine-tune the model using a custom dataset, improving its accuracy significantly. The process includes installing necessary libraries, handling the dataset, and making predictions. By the end of this tutorial, you'll understand how to leverage pre-trained models and enhance their performance through fine-tuning.
#HuggingFace #DistilBERT #MachineLearning #EmotionDetection #FineTuning #AI #NLP #ModelTraining #DataScience #promptengineering #genai