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Related Questions
- What are the main factors that contribute to overfitting in fine-tuning a pre-trained model?
- How can data augmentation techniques help prevent overfitting in a fine-tuned model?
- What is the relationship between model capacity and overfitting in the context of fine-tuning?
- Can regularizing the model's parameters, such as using dropout or L1/L2 regularization, help mitigate overfitting?
- How does the choice of optimizer and learning rate affect the risk of overfitting in fine-tuning?
- What role does early stopping play in preventing overfitting when fine-tuning a pre-trained model?
- Are there any specific pre-processing techniques that can help reduce the risk of overfitting in fine-tuning?
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