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Related Questions
- What are some common techniques for data augmentation in task-specific fine-tuning?
- How can I use regularization techniques to improve the model's performance on out-of-distribution data?
- What is the difference between data augmentation and regularization in the context of task-specific fine-tuning?
- Can you provide examples of data augmentation techniques that can be applied to text data?
- How can I use transfer learning to adapt a pre-trained model to a new task and improve its performance on out-of-distribution data?
- What are some strategies for selecting the right hyperparameters for regularization techniques in task-specific fine-tuning?
- How can I evaluate the effectiveness of data augmentation and regularization techniques on out-of-distribution data?
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