Task Accuracy refers to the proportion of samples for which a model correctly completes a task under a specific task or prompt setting. It is commonly used to evaluate performance in scenarios such as prompt engineering and transfer learning. This metric is typically expressed as a percentage or a score between 0 and 1, where higher values indicate better performance.