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Related Questions
- How does the learning rate affect the convergence of the model during fine-tuning?
- What happens to the model's performance if the number of epochs is increased while keeping the learning rate constant?
- Can you explain the concept of warm-up learning rate schedules in the context of fine-tuning a pre-trained model?
- How does the choice of learning rate impact the model's ability to adapt to new tasks during fine-tuning?
- What is the relationship between the number of epochs and the model's overfitting/underfitting behavior during fine-tuning?
- Can you provide examples of how to implement different learning rate schedules for fine-tuning a pre-trained model?
- How does the learning rate affect the model's ability to capture task-specific features during fine-tuning?
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