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Related Questions
- What are the common validation metrics used to evaluate the performance of a model in a specific task?
- How can we use metrics such as accuracy, precision, recall, and F1-score to determine the optimal amount of fine-tuning?
- What is the role of validation metrics in preventing overfitting during fine-tuning?
- Can you provide examples of how to use validation metrics to compare the performance of different models in a specific task?
- How can we use validation metrics to determine the optimal hyperparameters for a specific task?
- What is the difference between validation metrics and testing metrics, and how are they used in fine-tuning?
- Can you explain how to use cross-validation to determine the optimal amount of fine-tuning for a specific task?
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