Add error logs to the training loop

[sweep-nightly]

Description

This PR adds error logs to the training loop in the main.py file. The logging module is used to log any exceptions or errors that occur during the training process. This will provide more visibility into the training process and help in debugging and improving the model's performance.

Summary of Changes

• Imported the logging module at the beginning of the main.py file.
• Configured the logging module to write logs to a file.
• Added a try-except block in the training loop to catch any exceptions.
• Used the logging.error method to log the exception message in case of an error.
• Ensured that the logging does not interfere with the normal execution of the training loop.

Please review and merge this PR. Thank you!

Fixes #1.

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• Rollback changes to src/main.py

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