Amazon
MLA-C01 · Question #106
A data scientist is working on optimizing a model during the training process by varying multiple parameters. The data scientist observes that, during multiple runs with identical parameters, the loss
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ML Model Development
Question
A data scientist is working on optimizing a model during the training process by varying multiple parameters. The data scientist observes that, during multiple runs with identical parameters, the loss function converges to different, yet stable, values. What should the data scientist do to improve the training process?
Options
- AIncrease the learning rate. Keep the batch size the same.
- BDecrease the learning rate. Reduce the batch size.
- CDecrease the learning rate. Keep the batch size the same.
- DDo not change the learning rate. Increase the batch size.
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Topics
#Model Training#Hyperparameter Tuning#Learning Rate#Batch Size