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Add error logs to the training loop #119

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@sweep-nightly sweep-nightly bot commented Oct 24, 2023

Description

This PR adds error logging functionality to the training loop in the PyTorch model. It ensures that any errors encountered during training are logged with the appropriate severity level, allowing for easier debugging and troubleshooting.

Summary of Changes

  • Imported the logging module to enable logging functionality.
  • Configured the logging module to log messages of level ERROR and above to both the console and a file named 'training_errors.log'.
  • Added try-except blocks in the training loop to catch and log any errors that occur during training.
  • Logged the error message and stack trace using the logging module, including the current epoch and batch number if available.

Please review and merge this PR to enhance the error handling and debugging capabilities of the training loop.

Fixes #1.


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sweep-nightly bot commented Oct 24, 2023

Rollback Files For Sweep

  • Rollback changes to src/main.py

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sweep-nightly bot commented Oct 24, 2023

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@sweep-nightly sweep-nightly bot added the sweep label Oct 24, 2023
@sweep-nightly sweep-nightly bot closed this Oct 24, 2023
@sweep-nightly sweep-nightly bot deleted the sweep/add-error-logs_10 branch October 24, 2023 21:51
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Sweep: add error logs to the training loop
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