You are training a deep learning model using aws video

Full Certification Question

You are training a deep learning model using Amazon SageMaker to predict customer churn with a large dataset containing millions of records. The current hyperparameters are batch size = 256, epochs = 50, and learning rate = 0.01. The training time is longer than expected, and the model is not performing well. Which adjustment is MOST LIKELY to reduce training time without compromising model performance?