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Related Questions
- What are the key differences between overfitting and underfitting in the context of language model fine-tuning?
- How can overfitting and underfitting impact the generalizability of a language model in fine-tuning?
- What are some common techniques used to prevent overfitting and underfitting in language model fine-tuning?
- Can you explain the concept of regularization and its role in mitigating overfitting in language model fine-tuning?
- How does the choice of hyperparameters, such as learning rate and batch size, affect the trade-off between overfitting and underfitting in language model fine-tuning?
- What are some strategies for detecting and addressing overfitting and underfitting in language model fine-tuning, such as using validation sets and early stopping?
- How do the characteristics of the training data, such as its size and quality, influence the likelihood of overfitting and underfitting in language model fine-tuning?
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