Add robust error handling to LoRA validation logic

[Mohammed-Faizzzz]

This commit completes migration of validate method, and improves fault tolerance and clarity in the LoRA validation module by adding structured try-except blocks around critical operations.

• Validates LoRA config before TrainingArguments instantiation
• Catches and logs errors when loading tokenizer, dataset, model, or trainer
• Ensures fallback metrics are returned if evaluation fails gracefully
• Adds informative logging for debugging and traceability

This improves resilience against malformed adapter configs, missing files, and resource-related evaluation crashes.

Suggestions for Future Improvements:

• Move helper functions out of method and into a separate file
• Break down validate method into several functions (e.g. handle_tokeniser, handle_metrics)
• Introduce more Exceptions

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