How can I fine-tune pretrained models for my project?
Fine-tuning involves taking a pretrained model and training it further on your specific dataset. What type of model are you using?
I'm using a BERT model for text classification.
Great choice! You can start by loading the BERT model and then use a smaller learning rate to adjust it on your dataset. Do you have a dataset ready?
Yes, I have a labeled dataset. What framework should I use?
You can use frameworks like Hugging Face's Transformers or TensorFlow. They provide excellent support for fine-tuning BERT. Would you like code examples?
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