ProbeX/Model-J

该数据集包含多个配置（DINO、MAE、ResNet、SupViT），每个配置都有多个特征，如随机裁剪、训练轮数、随机种子、模型索引、数据集名称、最佳检查点的测试损失和准确率等。数据集被分为训练集、验证集和测试集，每个分割都有相应的字节数和示例数。数据集可能用于机器学习模型的训练和评估，特别是与图像处理相关的任务。

This dataset includes multiple configurations (DINO, MAE, ResNet, SupViT), each with various features such as random cropping, number of epochs, random seed, model index, dataset name, best checkpoint test loss and accuracy, etc. The dataset is divided into training, validation, and test sets, each with corresponding byte sizes and number of examples. The dataset is likely used for training and evaluating machine learning models, particularly those related to image processing tasks.