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Related Questions
- How do I preprocess task-specific data for fine-tuning a pre-trained language model?
- What are some common challenges in handling task-specific data during fine-tuning, and how can I address them?
- How does the quality and quantity of task-specific data affect the performance of a fine-tuned model?
- Can you explain the concept of data augmentation in the context of fine-tuning, and its benefits?
- How do I handle class imbalance in task-specific data during fine-tuning, and what are some strategies for mitigating its effects?
- What is the role of task-specific data in transfer learning, and how does it impact the fine-tuning process?
- How can I evaluate the effectiveness of task-specific data in fine-tuning, and what metrics should I use to measure its impact?
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