Add error logs to the training loop

[sweep-nightly]

Description

This PR adds error logs to the training loop in the src/main.py file. Error logs are logged using the logging module and are written to a file named training.log. This helps in debugging and understanding the performance of the model during training.

Summary of Changes

• Imported the logging module at the beginning of the src/main.py file.
• Configured the logging module to write logs to a file named training.log with a log level of ERROR.
• Added a try-except block around the model training code in the training loop.
• In the except block, logged the exception using the logging module.

Please review and merge this PR. Thank you!

Fixes #1.

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Apply Sweep Rules to your PR?

• Apply: All docstrings and comments should be up to date.
• Apply: Code should be properly formatted and indented.
• Apply: Variable and function names should be descriptive and follow a consistent naming convention.
• Apply: Imports should be organized and grouped together.
• Apply: There should be no unused imports or variables.
• Apply: Code should be properly commented and include docstrings for functions and classes.