OALL/details_Sakalti__SakaMoe-3x14B-Instruct_v2

这个数据集是在评估模型 [Sakalti/SakaMoe-3x14B-Instruct](https://huggingface.co/Sakalti/SakaMoe-3x14B-Instruct) 的过程中自动创建的。数据集由116个配置组成，每个配置对应一个评估任务。数据集是从1次运行中创建的，每次运行都有一个特定的分割，分割的名称使用运行的timestamp。train分割始终指向最新的结果。还有一个额外的配置results存储所有运行的综合结果。README还提供了一个使用Python中的datasets库加载运行详细信息的示例。它还提供了从特定运行的最新结果，展示了各种任务的准确性和标准误差。

Dataset automatically created during the evaluation run of model [Sakalti/SakaMoe-3x14B-Instruct](https://huggingface.co/Sakalti/SakaMoe-3x14B-Instruct). The dataset is composed of 116 configurations, each one corresponding to one of the evaluated tasks. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run. The train split is always pointing to the latest results. There is also an additional configuration results that stores all the aggregated results of the run. The README also provides an example of how to load the details from a run using the datasets library in Python. It further provides the latest results from a specific run, showcasing the accuracy and standard error for various tasks.