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MLA-C01 · Question #198
MLA-C01 Question #198: Real Exam Question with Answer & Explanation
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ML Model Development
Question
An ML engineer is training a text generation model on Amazon SageMaker AI. After several epochs, the loss function does not converge, and the model's accuracy on the validation dataset starts to show oscillating results. The ML engineer needs to ensure that the model achieves generalization. Which solution will meet this requirement?
Options
- AIncrease the learning rate and decrease the mini-batch size.
- BIncrease the learning rate as the number of epochs increases.
- CDecrease the learning rate and increase the mini-batch size.
- DDecrease the learning rate and decrease the mini-batch size.
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Topics
#Hyperparameter Tuning#Model Training Stability#Generalization#Optimization