How can I tune my PyTorch model using Azure ML SDK?
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How can I tune my PyTorch model using Azure ML SDK?
You can use Azure ML SDK to automate hyperparameter tuning for your PyTorch models. Would you like to know how to set it up?
Yes, please explain the setup process.
First, ensure you have the Azure ML SDK installed. Then, define your model and create a training script. After that, you can set up a HyperDrive configuration to specify the hyperparameters you want to tune.
What are some common hyperparameters I should consider tuning?
Common hyperparameters include learning rate, batch size, number of epochs, and model architecture parameters. Would you like examples of how to set these in Azure ML?
Yes, that would be helpful!
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