Add error logs to the training loop

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Description

This PR adds error logs to the training loop in the PyTorch model. It ensures that any exceptions that occur during the training process are caught and logged, providing meaningful information for debugging.

Summary of Changes

• Imported the logging module in src/main.py.
• Set up the basic configuration for the logger.
• Added a try-except block in the training loop to catch exceptions.
• Logged the exceptions with detailed information including the type, error message, and stack trace.
• Ensured that the logging does not interfere with the normal execution of the code.

Please review and merge this PR. Thank you!

Fixes #1.

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Rollback Files For Sweep

• [ ] Rollback changes to src/main.py

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