Fine-tuning T5 for financial sentiment analysis demonstrates strong performance and adaptability to domain-specific text. This approach highlights the promise of generative models for financial NLP, providing both accuracy and extensibility. Future work includes exploring larger financial corpora, parameter-efficient fine-tuning (LoRA/PEFT). - View it on GitHub