OALL/details_yellowtown__7B-v0.2

数据集是在模型 [yellowtown/7B-v0.2](https://huggingface.co/yellowtown/7B-v0.2) 的评估运行过程中自动创建的。数据集由136个配置组成，每个配置对应一个评估任务。数据集从1次运行中创建，每次运行都可以在配置中的特定分割中找到，分割名称使用运行的时间戳命名。"train" 分割总是指向最新的结果。还有一个额外的配置 "results" 存储所有运行的聚合结果。要加载数据的详细信息，可以使用如下Python代码：
python
from datasets import load_dataset
data = load_dataset("OALL/details_yellowtown__7B-v0.2", "lighteval_xstory_cloze_ar_0", split="train")

## 最新结果

这些是 [运行 2024-12-26T16:45:57.498952](https://huggingface.co/datasets/OALL/details_yellowtown__7B-v0.2/blob/main/results_2024-12-26T16-45-57.498952.json) 的最新结果（请注意，如果连续评估没有涵盖相同的任务，则存储库中可能会有其他任务的结果。您可以在结果中找到每个，以及每个评估的 "latest" 分割）。

Dataset automatically created during the evaluation run of model [yellowtown/7B-v0.2](https://huggingface.co/yellowtown/7B-v0.2).

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" store 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_yellowtown__7B-v0.2", "lighteval_xstory_cloze_ar_0", split="train")

## Latest results

These are the [latest results from run 2024-12-26T16:45:57.498952](https://huggingface.co/datasets/OALL/details_yellowtown__7B-v0.2/blob/main/results_2024-12-26T16-45-57.498952.json)(note that there might be results for other tasks in the repos if successive evals didnt cover the same tasks. You find each in the results and the "latest" split for each eval):