gunnybd01/CPM

该数据集记录了模型训练过程中的详细参数配置和性能评估结果。包含模型名称、训练集和测试集大小、优化器参数（如学习率、调度器类型、梯度累积步数等）、LoRA配置、模型参数量、内存使用情况、训练时长以及多个评估指标（准确率、宏平均F1、加权F1、精确率、召回率）。数据集包含1个训练示例，总大小为316字节。

This dataset records detailed parameter configurations and performance evaluation results during model training. It includes model name, training and test set sizes, optimizer parameters (such as learning rate, scheduler type, gradient accumulation steps, etc.), LoRA configuration, model parameters, memory usage, training duration, and multiple evaluation metrics (accuracy, macro F1, weighted F1, precision, recall). The dataset contains 1 training example with a total size of 316 bytes.