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Related Questions
- Can early stopping prevent overfitting in large language models on class-imbalanced datasets?
- Does early stopping improve model robustness on out-of-domain tasks when training on imbalanced datasets?
- How does early stopping influence the trade-off between training accuracy and test accuracy in large language models on class-imbalanced datasets?
- Can early stopping help address issues of dataset bias when training large language models on class-imbalanced datasets?
- How does the choice of early stopping parameters affect the performance of large language models on class-imbalanced datasets?
- Are there any potential pitfalls to consider when using early stopping with large language models on class-imbalanced datasets?
- Can early stopping be used in combination with other techniques, such as data augmentation or gradient checkpointing, to further improve performance on class-imbalanced datasets?
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