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Related Questions
- How does the choice of learning rate affect the performance of a pre-trained model during fine-tuning?
- Can you explain the concept of learning rate schedules and their impact on fine-tuning a pre-trained model?
- What are the common learning rate ranges used for fine-tuning pre-trained models on specific tasks, such as language translation or text classification?
- How does the learning rate interact with other hyperparameters, such as batch size and number of epochs, during fine-tuning?
- What are the pros and cons of using a fixed learning rate versus a dynamic learning rate schedule for fine-tuning a pre-trained model?
- Can you provide examples of common learning rate decay strategies used in fine-tuning pre-trained models?
- How does the learning rate affect the convergence of the model during fine-tuning, and what are the implications for model performance?
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