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Related Questions
- What are the consequences of over-fitting in fine-tuning, and how can it affect the performance of a large language model?
- How does under-fitting impact the generalization ability of a model during fine-tuning, and what are the potential solutions?
- What are the key differences between over-fitting and under-fitting, and how can one diagnose these issues in a fine-tuned model?
- Can you explain the concept of regularization in the context of fine-tuning, and how it can help achieve a balance between task-specific accuracy and generalization ability?
- How can dropout regularization be employed during fine-tuning to prevent over-fitting and improve generalization?
- What are some other regularization techniques that can be used during fine-tuning, such as L1 and L2 regularization, and how do they differ from dropout?
- How can one use early stopping to prevent over-fitting during fine-tuning, and what are the key hyperparameters to tune for optimal results?
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