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Related Questions
- What are the key differences between task-specific fine-tuning and general fine-tuning of pre-trained models?
- Can you explain the importance of task-specific fine-tuning in improving model performance on new tasks?
- How does task-specific fine-tuning affect the model's ability to generalize to unseen data?
- What are some common challenges that arise during task-specific fine-tuning, and how can they be addressed?
- Can you provide examples of tasks that benefit from task-specific fine-tuning, such as sentiment analysis or named entity recognition?
- How does the choice of hyperparameters impact the effectiveness of task-specific fine-tuning?
- What are some best practices for selecting the optimal learning rate and batch size for task-specific fine-tuning?
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