OALL/details_meta-llama__Llama-3.2-1B

这是一个在模型 meta-llama/Llama-3.2-1B 的评估运行中自动创建的数据集。数据集由 136 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，每次运行都可以作为一个特定的分割找到，分割的名称使用运行的日期和时间戳。train 分割始终指向最新的结果。还有一个额外的配置 results 存储了运行的所有聚合结果。README 还提供了一个使用 Python 和 datasets 库加载数据集详细信息的示例。此外，它还提供了来自特定运行的最新结果的详细信息，展示了不同任务的各项准确率指标。

Dataset automatically created during the evaluation run of model [meta-llama/Llama-3.2-1B](https://huggingface.co/meta-llama/Llama-3.2-1B). The dataset is composed of 136 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. An additional configuration results stores all the aggregated results of the run. To load the details from a run, you can for instance do the following: python
from datasets import load_dataset
data = load_dataset("OALL/details_meta-llama__Llama-3.2-1B", "lighteval_xstory_cloze_ar_0", split="train")