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 is implemented using Python's built-in logging module to provide visibility into any exceptions or errors that occur during the training process. This will help in debugging and improving the model's performance.

Summary of Changes

• Imported the logging module at the beginning of the main.py file.
• Set up the basic configuration for the logger, specifying the log level as ERROR and a filename for the logs.
• Added a try-except block in the training loop to catch any exceptions that might occur.
• Used the logger to log any exceptions that occur, including the stack trace.

Please review and merge this PR. Thank you!

Fixes #1.

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• Rollback changes to src/main.py

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