OALL/details_meta-llama__Llama-3.1-8B_v2

该数据集是在对meta-llama/Llama-3.1-8B模型进行评估时自动创建的。数据集由116个配置组成，每个配置对应一个评估任务。数据集是从一次运行中创建的，每个配置中的特定分割可以按运行的时戳找到，train分割始终指向最新的结果。还有一个额外的配置结果，用于存储所有运行结果的汇总。README中还提供了如何使用Python的datasets库加载数据集的示例，并详细介绍了特定运行的最新结果。

Dataset automatically created during the evaluation run of model [meta-llama/Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B). The dataset is composed of 116 configuration, 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. An additional configuration results stores all the aggregated results of the run.