PabasaraXE/Uncensored-CodeLlama

该数据集是在模型eartford/WizardLM-1.0-Uncensored-CodeLlama-34b于Open LLM Leaderboard上进行评估运行时自动创建的。数据集包含64个配置，每个配置对应一个评估任务。数据来源于两次运行，每次运行以时间戳作为分割名称存储，其中train分割始终指向最新结果。此外，还有一个名为results的额外配置，用于存储所有运行的聚合结果，这些结果用于在Open LLM Leaderboard上计算和显示聚合指标。数据集提供了详细的评估细节，包括任务性能数据，如准确率（acc）、精确匹配（em）和F1分数等，并附有代码示例说明如何加载数据。最新结果摘要显示了模型在多个任务上的表现，例如在winogrande任务上的准确率为0.7245。Dataset automatically created during the evaluation run of model ehartford/WizardLM-1.0-Uncensored-CodeLlama-34b on the Open LLM Leaderboard. The dataset is composed of 64 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 2 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" store all the aggregated results of the run (and is used to compute and display the agregated metrics on the Open LLM Leaderboard).