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Related Questions
- What is the optimal learning rate range for fine-tuning a pre-trained model in transfer learning?
- How does the learning rate affect the convergence rate of the model during fine-tuning?
- Can you explain the concept of learning rate decay and its role in 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 are the common techniques used to adjust the learning rate during fine-tuning, such as warmup or cosine annealing?
- How does the learning rate interact with other hyperparameters, such as batch size and number of epochs, during fine-tuning?
- Can you provide examples of how different learning rates affect the performance of a model during fine-tuning on a specific task, such as image classification or natural language processing?
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