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Related Questions
- How does learning rate scheduling help stabilize the training process in transformer models like BERT and RoBERTa?
- Can you elaborate on the impact of using a fixed learning rate on the convergence of transformer-based models?
- Why is it essential to tune the learning rate schedule specifically for transformer models, such as BERT and RoBERTa?
- How does the learning rate schedule affect the model's ability to capture long-range dependencies in transformer-based language models?
- In what ways does the Cosine Learning Rate Schedule adapt to the changing needs of transformer models during training?
- Can you contrast the learning rate schedules commonly used in transformer models (e.g., linear schedule, Cosine schedule)?
- How might learning rate scheduling impact model performance when fine-tuning a pre-trained transformer-based model on a downstream task?
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