gunnybd01/ClassBalancedFFFLora

该数据集是一个包含模型训练参数和性能指标的集合，主要用于记录和分析不同模型在训练过程中的配置和表现。数据集包含模型名称、训练集和测试集的大小、详细的训练参数（如优化器设置、学习率、批处理大小等）、LoRA配置、模型参数量、内存使用情况、训练时间以及多种评估指标（如准确率、F1分数、精确率和召回率等）。数据集包含一个训练集，共有18个样本，文件大小为6472字节。

This dataset is a collection of model training parameters and performance metrics, primarily used to record and analyze the configurations and performance of different models during training. The dataset includes model names, training and test set sizes, detailed training parameters (such as optimizer settings, learning rate, batch size, etc.), LoRA configurations, model parameters, memory usage, training time, and various evaluation metrics (such as accuracy, F1 score, precision, and recall). The dataset contains one training split with 18 samples and a file size of 6472 bytes.