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Related Questions
- What are the key hyperparameters that need to be adjusted during fine-tuning, and how do they impact the model's performance?
- How does the choice of learning rate affect the fine-tuning process, and what are the implications for convergence and overfitting?
- What is the role of batch size in fine-tuning, and how does it impact the model's ability to generalize to new data?
- How does the choice of optimizer affect the fine-tuning process, and what are the trade-offs between different optimizers?
- What is the impact of regularization techniques, such as dropout and L1/L2 regularization, on the fine-tuning process?
- How does the choice of number of epochs and patience affect the fine-tuning process, and what are the implications for overfitting and underfitting?
- What is the relationship between the choice of hyperparameters and the model's ability to adapt to new tasks and datasets during fine-tuning?
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