open-llm-leaderboard-old/details_porkorbeef__Llama-2-13b-sf

该数据集是在评估模型porkorbeef/Llama-2-13b-sf时自动生成的，包含3个配置，每个配置对应一个评估任务。数据集由1次运行生成，每次运行在配置中以特定分割的形式存在，分割名称使用运行的时间戳。train分割始终指向最新结果。此外，results配置存储了所有运行的聚合结果，并用于在Open LLM Leaderboard上计算和显示聚合指标。

Dataset automatically created during the evaluation run of model porkorbeef/Llama-2-13b-sf on the Open LLM Leaderboard. It consists of 3 configurations, each corresponding to a specific evaluated task. The dataset is generated from a single run, with each run represented as a split named by the timestamp of the run. The train split always points to the latest results. An additional configuration named results stores all aggregated results from the run, which are used to compute and display aggregated metrics on the leaderboard. The dataset includes detailed results from a specific run, such as accuracy and error metrics for different tasks.

原始信息汇总

数据集卡片 for Evaluation run of porkorbeef/Llama-2-13b-sf

数据集描述

数据集摘要

该数据集是在模型 porkorbeef/Llama-2-13b-sf 在 Open LLM Leaderboard 上的评估运行期间自动创建的。

数据集由3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。每次运行可以在每个配置中找到特定的分割，分割名称使用运行的timestamp。"train" 分割始终指向最新的结果。

一个额外的配置 "results" 存储所有运行的聚合结果（用于计算和显示 Open LLM Leaderboard 上的聚合指标）。

加载运行细节的示例如下： python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_porkorbeef__Llama-2-13b-sf", "harness_winogrande_5", split="train")

最新结果

以下是 2023-10-19T10:54:43.878914 运行的最新结果：

python { "all": { "em": 0.0, "em_stderr": 0.0, "f1": 2.3070469798657717e-05, "f1_stderr": 1.0056123859027576e-05, "acc": 0.2517758484609313, "acc_stderr": 0.0070260655734579345 }, "harness|drop|3": { "em": 0.0, "em_stderr": 0.0, "f1": 2.3070469798657717e-05, "f1_stderr": 1.0056123859027576e-05 }, "harness|gsm8k|5": { "acc": 0.0, "acc_stderr": 0.0 }, "harness|winogrande|5": { "acc": 0.5035516969218626, "acc_stderr": 0.014052131146915869 } }