Exploring the performance of ML model size for classification in relation to energy consumption
The use of large language models (LLMs) is being explored for a multitude of tasks in software engineering (SE), ranging from code generation to bug report assignment. Although LLMs provide impressive results, they require more time and energy than some other machine learning models. For some tasks, simpler models may be more sustainable than LLMs. In this paper, we construct natural language clas
