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Related Questions
- How does task-specific fine-tuning improve the accuracy of a pre-trained language model on a specific task?
- What are some common applications of task-specific fine-tuning in real-world scenarios?
- Can you provide an example of how task-specific fine-tuning is used in natural language processing (NLP) tasks?
- What are the benefits of fine-tuning a pre-trained model on a specific task compared to training a model from scratch?
- How does task-specific fine-tuning affect the performance of the model on out-of-distribution tasks?
- What are some common challenges associated with task-specific fine-tuning, and how can they be addressed?
- Can you provide an example of task-specific fine-tuning in a text classification task, such as sentiment analysis or spam detection?
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