Description:

This course will teach you how to perform text classification tasks using advanced Transformers models, specifically RoBERTa and XLNet. You will learn how to preprocess text data, fine-tune the pre-trained models, and evaluate the performance of the models on various text classification datasets.

Key Highlights:

• Hands-on experience with state-of-the-art Transformers models
• Learn text classification techniques using RoBERTa and XLNet
• Practical application on real-world text classification datasets

What you will learn:

• Gain expertise in text classification
  Develop the skills to classify text data with high accuracy using RoBERTa and XLNet
• Fine-tune pre-trained models
  Understand the process of fine-tuning RoBERTa and XLNet for text classification tasks
• Evaluate model performance
  Learn how to assess and improve the performance of Transformers models on text classification