aws / aws/amazon-sagemaker-examples
[Example Request] PyTorch 1.11 with SM Training Compiler - Tuning Hyperparameters
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- Jupyter Notebook
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Description
**Describe the use case example you want to see**
A notebook example describing how to tune hyper-parameters while training with SM Training Compiler on PyTorch 1.11. This particular example will explore how to effectively use SM Training Compiler by tuning the hyper-parameters.
**How would this example be used? Please describe.**
Onboarding new customers to advanced use-cases with SM Training Compiler
**Describe which SageMaker services are involved**
1. SageMaker Training
2. SageMaker Training Compiler
3. SageMaker Model Tuner
**Describe what other services (other than SageMaker) are involved***
None
**Describe which dataset could be used. Provide its location in s3://sagemaker-sample-files or another source.**
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Assessment
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