How do I train pre-trained models effectively?

How do I train pre-trained models effectively?

To train pre-trained models effectively, you should start by fine-tuning them on your specific dataset.

What kind of data should I use for fine-tuning?

Use a dataset that is relevant to your task, ensuring it is diverse and representative of the scenarios you want the model to handle.

How do I avoid overfitting during training?

To avoid overfitting, you can use techniques like dropout, early stopping, and data augmentation.

Can you recommend any libraries for this?

Sure! Libraries like Hugging Face Transformers and TensorFlow are great for working with pre-trained models.