Emotion-Aware-AI-Assistant/gemma3_4b-it-q4_K_M_hierarchical_results

该数据集包含模型性能评估的详细指标，涵盖准确性、宏F1、加权F1、精确度、召回率以及混淆矩阵等。还包括针对特定情绪（愤怒、厌恶、恐惧、快乐、中性、悲伤、惊讶）的F1、精确度和召回率指标。此外，数据集还记录了无效计数、响应时间统计（总时间、平均时间、标准差、众数）等信息。数据集结构为单一训练集，包含1个样本，文件大小为1552字节。

This dataset includes detailed metrics for model performance evaluation, covering accuracy, macro F1, weighted F1, precision, recall, and confusion matrices. It also includes F1, precision, and recall metrics for specific emotions (anger, disgust, fear, happiness, neutral, sadness, surprise). Additionally, the dataset records invalid counts, response time statistics (total time, mean time, standard deviation, mode), and other related information. The dataset structure consists of a single training set with 1 example and a file size of 1552 bytes.