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Related Questions
- What are some common mistakes to avoid when fine-tuning pre-trained models, and how can they affect the model's performance?
- Can you provide an example of a well-structured fine-tuning process for a pre-trained language model, including the selection of hyperparameters and the evaluation metric?
- How can the quality of the fine-tuning dataset impact the performance of the model, and what are some strategies for data curation?
- What are the differences between fine-tuning and other techniques such as transfer learning, and how do they impact the model's performance?
- Can you discuss the trade-offs between fine-tuning a pre-trained model versus training a model from scratch, and how to make an informed decision?
- What are some methods for adaptively fine-tuning a pre-trained model to multiple tasks, and how can this improve the model's overall performance?
- How can fine-tuning a pre-trained model help to reduce overfitting, and what are some techniques for avoiding overfitting during the fine-tuning process?
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