qubitpage/sentinel-prime-350m-evals

该数据集是在模型qubitpage/sentinel-prime-350m的评估运行过程中自动创建的。数据集包含7种配置，每种配置对应一个评估任务。数据集由2次运行的数据组成，每次运行在每个配置中作为一个特定的分割，分割名称使用运行的时间戳。train分割始终指向最新的结果。此外，还有一个名为results的配置存储了所有运行的聚合结果。数据集用于评估模型在不同任务上的性能，README中提供了如何使用HuggingFace datasets库加载数据集的示例。README中还包含了特定运行的最新结果，展示了不同任务的性能指标。

The dataset was automatically created during the evaluation run of the model qubitpage/sentinel-prime-350m. The dataset is composed of 7 configurations, each corresponding to one of the evaluated tasks. The dataset has been created from 2 runs, with each run found as a specific split in each configuration, the split being named using the timestamp of the run. The train split always points to the latest results. An additional configuration results stores all the aggregated results of the run. The dataset is used to evaluate the models performance on various tasks, and the README provides an example of how to load the dataset using the HuggingFace datasets library. The latest results from a specific run are also included in the README, showing performance metrics for different tasks.