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Related Questions
- What are the limitations of the cosine learning rate schedule in terms of avoiding warm restarts?
- Under what circumstances does the cosine learning rate schedule lead to increased frequency of warm restarts?
- Can you compare the cosine learning rate schedule with other schedules such as step and triangular and outline their differences?
- How does the cosine learning rate schedule perform when the training time exceeds the number of warm restarts?
- In what scenarios does the cosine learning rate schedule not follow the traditional 'k'-cycle schedule, potentially causing instability?
- What are the specific learning rate values and batch sizes that can cause instability with the cosine learning rate schedule?
- Are there any common deep learning architectures or optimization techniques where the cosine learning rate schedule is particularly susceptible to instability?
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