5 - Multi-Label Text Classification Model with DistilBERT and Hugging Face Transformers in PyTorch

Опубликовано: 24 Октябрь 2024
на канале: KGP Talkie

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🚀 Welcome to the KGP Talkie!
In this video, we'll dive into the world of natural language processing (NLP) and deep learning with a hands-on tutorial on creating a multi-label text classification model using DistilBERT and Hugging Face Transformers in PyTorch.

🔥 What You'll Learn:
How to preprocess text data using the DistilBERT tokenizer.
Building a custom dataset class for multi-label classification.
Configuring the DistilBERT model for multi-label tasks.
Setting up the Trainer and TrainingArguments for efficient model training.
Handling the challenges of multi-label loss computation.

🔊 Watch till last for a detailed description

GitHub Code Link:
https://github.com/laxmimerit/NLP-Tut...

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