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Related Questions
- What are the differences between linear scaling and cyclical learning rates for fine-tuning large language models?
- How does the concept of warm-up and cosine annealing relate to adjusting the learning rate during fine-tuning?
- What is the purpose of the learning rate scheduler in the context of fine-tuning pre-trained language models?
- What are the benefits and drawbacks of using a fixed learning rate schedule versus an adaptive learning rate schedule in fine-tuning?
- Can you explain the concept of plateauing and how it relates to adjusting the learning rate during fine-tuning?
- How does the learning rate impact the convergence of the model during fine-tuning, and what are the implications for hyperparameter tuning?
- What is the relationship between the learning rate and the batch size during fine-tuning, and how do they interact to affect model performance?
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