Add error logs to the training loop

[sweep-nightly]

Description

This PR adds error logs to the training loop in order to catch and log any errors that might occur during the training process. This will help in debugging and improving the model's performance.

Summary of Changes

• Imported the logging module and organized the imports in src/main.py.
• Set up the logging configuration by creating a logger with a specific name and setting its level to logging.ERROR.
• Added a try-except block in the training loop to catch any exceptions that occur during training.
• Logged the exception details (type, value, and traceback) using the logger in the except block.
• Updated docstrings and comments to reflect the changes made in the code.
• Ensured proper formatting and indentation of the code.

Please review and merge this PR. Thank you!

Fixes #1.

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• Rollback changes to src/main.py

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