ainewtrend07/T3

该数据集包含模型训练和评估所需的参数和性能指标，具体包括模型的名称、训练和测试集的大小、训练过程中的超参数设置（如批处理大小、学习率、优化器等）、参数数量、可训练参数数量、内存分配、训练时间以及性能指标（如准确率、F1分数、精确度和召回率等）。数据集分为训练集，大小为2个示例，共638字节。数据集的总大小为638字节，下载大小为13013字节。

The dataset contains parameters and performance metrics necessary for model training and evaluation, including the models name, the size of the training and test sets, hyperparameter settings during training (such as batch size, learning rate, optimizer, etc.), the number of parameters, the number of trainable parameters, memory allocation, training time, and performance metrics (such as accuracy, F1 scores, precision, and recall). The dataset is split into a training set with 2 examples, totaling 638 bytes. The total size of the dataset is 638 bytes, with a download size of 13,013 bytes.