OALL/details_yellowtown__7B-v0.2_v2

这是一个在评估模型 yellowtown/7B-v0.2 时自动创建的数据集。数据集由 116 个配置组成，每个配置对应一个评估任务。数据集由 2 次运行创建，每次运行作为一个特定的分割，分割名称使用运行的 timestamp。"train" 分割始终指向最新的结果。还有一个额外的配置 "results" 存储所有运行的汇总结果。README 还包括一个使用 Python 的 datasets 库加载运行详情的示例。

This is a dataset automatically created during the evaluation of the model [yellowtown/7B-v0.2](https://huggingface.co/yellowtown/7B-v0.2). The dataset consists of 116 configurations, each corresponding to one of the evaluated tasks. The dataset has been created from 2 runs, with each run represented as a specific split named by 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 runs. The README also includes an example of how to load the details from a run using the datasets library in Python.