amztheory/details_Qwen__Qwen2-1.5B

数据集在模型 [Qwen/Qwen2-1.5B](https://huggingface.co/Qwen/Qwen2-1.5B) 的评估运行过程中自动创建。数据集由 118 个配置组成，每个配置对应一个评估任务。数据集已从 2 次运行中创建。每次运行都可以在各个配置中找到一个特定的分割，分割的名称使用运行的 timestamp。train 分割始终指向最新的结果。一个额外的配置 results 存储了所有运行的综合结果。可以使用 Python 的 datasets 库来加载数据集。

Dataset automatically created during the evaluation run of model [Qwen/Qwen2-1.5B](https://huggingface.co/Qwen/Qwen2-1.5B). The dataset is composed of 118 configurations, each one corresponding to one of the evaluated tasks. 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. The dataset can be loaded using the datasets library in Python.