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Related Questions
- What are the key differences between linear and exponential learning rate schedules in the context of fine-tuning?
- When does a linear learning rate schedule tend to perform better than an exponential one in the absence of a large dataset?
- How does the concept of few-shot learning relate to the choice of learning rate schedule for fine-tuning?
- What are some scenarios where a linear learning rate schedule might be more suitable for fine-tuning than an exponential one, especially with limited data?
- Can you provide examples of tasks or domains where a linear learning rate schedule has shown to be beneficial for fine-tuning compared to exponential decay?
- How does the choice of learning rate schedule impact the convergence rate and stability of the model during fine-tuning?
- Are there any hyperparameters that need to be adjusted when using a linear learning rate schedule for fine-tuning, and how do they affect the overall performance?
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