How do you fine-tune a pre-trained language model like BERT for a downstream task? What are the best practices to prevent overfitting and catastrophic forgetting?

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Fine-tuning adapts a pre-trained language model to a specific downstream task by continuing training on task-specific data. This transfer learning approach leverages the general language understanding acquired during pre-training while specializing the model for your…