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Related Questions
- What are the key differences between masked language modeling and next sentence prediction objectives in fine-tuning a language model?
- How does the choice of fine-tuning objective affect the model's ability to generalize to unseen data?
- Can you explain the concept of 'overfitting' in the context of fine-tuning objectives and how to mitigate it?
- How does the fine-tuning objective impact the model's ability to capture long-range dependencies in text?
- What are some common fine-tuning objectives used in natural language processing tasks, such as sentiment analysis or question answering?
- How does the choice of fine-tuning objective affect the model's interpretability and explainability?
- Can you discuss the trade-offs between using a single fine-tuning objective versus a combination of objectives for a given task?
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