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Related Questions
- What is the relationship between learning rate and model convergence during fine-tuning?
- How does a high learning rate impact the stability of the model during fine-tuning?
- Can a high learning rate lead to faster convergence in some cases, but slower convergence in others?
- What are the potential risks of using a high learning rate during fine-tuning, such as overfitting?
- How does the choice of learning rate affect the model's ability to adapt to new data during fine-tuning?
- What are some strategies for adjusting the learning rate during fine-tuning to achieve optimal convergence?
- Can a high learning rate cause the model to overshoot the optimal solution, leading to slower convergence?
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