Emotion-Aware-AI-Assistant/gemma3_12b-it-q4_K_M_continuous_results

该数据集包含多个模型在情绪识别任务上的性能评估结果，包括准确率、宏平均F1值、宏平均精确率、宏平均召回率等整体指标，以及针对愤怒、厌恶、恐惧、快乐、中性、悲伤、惊讶等具体情绪的F1值、精确率和召回率。此外，数据集还提供了混淆矩阵、无效计数、响应时间等统计信息，用于全面评估模型性能。

This dataset contains performance evaluation results of multiple models on emotion recognition tasks, including overall metrics such as accuracy, macro F1 score, macro precision, macro recall, as well as F1 scores, precision, and recall for specific emotions like anger, disgust, fear, happiness, neutral, sadness, and surprise. Additionally, the dataset provides statistical information such as confusion matrices, invalid counts, and response times for comprehensive model performance evaluation.