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Related Questions
- What are the key factors that influence the amount of fine-tuning required for a pre-trained language model?
- Can you explain the concept of overfitting and underfitting in the context of fine-tuning language models?
- How can we use validation metrics to determine the optimal amount of fine-tuning for a specific task?
- What are some common techniques for tuning the hyperparameters of a pre-trained language model?
- How does the choice of pre-training dataset and task affect the amount of fine-tuning required?
- Can you discuss the trade-off between model performance and computational resources when fine-tuning a pre-trained language model?
- What are some strategies for selecting the right amount of fine-tuning for a specific language model and task?
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