# SageMaker Debugger interactive report
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Receive profiling reports autogenerated by Debugger. The Debugger report provide insights into your training jobs and suggest recommendations to improve your model performance. The following screenshot shows a collage of the Debugger profiling report. To learn more, see [SageMaker Debugger interactive report](#debugger-profiling-report).

**Note**  
You can download a Debugger reports while your training job is running or after the job has finished. During training, Debugger concurrently updates the report reflecting the current rules' evaluation status. You can download a complete Debugger report only after the training job has completed.

**Important**  
In the reports, plots and and recommendations are provided for informational purposes and are not definitive. You are responsible for making your own independent assessment of the information.

![\[An example of a Debugger training job summary report\]](http://docs.aws.amazon.com/sagemaker/latest/dg/images/debugger/debugger-profile-report.jpg)


For any SageMaker training jobs, the SageMaker Debugger [ProfilerReport](debugger-built-in-profiler-rules.md#profiler-report) rule invokes all of the [monitoring and profiling rules](debugger-built-in-profiler-rules.md#built-in-rules-monitoring) and aggregates the rule analysis into a comprehensive report. Following this guide, download the report using the [Amazon SageMaker Python SDK](https://sagemaker.readthedocs.io/en/stable) or the S3 console, and learn what you can interpret from the profiling results.

**Important**  
In the report, plots and and recommendations are provided for informational purposes and are not definitive. You are responsible for making your own independent assessment of the information.