character-based performance

Character-based performance measures how well a model or system predicts or generates individual characters, rather than entire words or sentences. It assesses the accuracy of each character's prediction, providing insight into the system's attention to detail and ability to produce precise outputs at a granular level. This approach is useful for tasks like text generation, recognition, or translation, where understanding the correctness of each character is crucial for overall quality. By focusing on characters, it helps identify specific errors and improvements needed in the system's detailed language processing capabilities.