open-llm-leaderboard/details_Fredithefish__RedPajama-INCITE-Chat-3B-Instruction-Tuning-with-GPT-4
收藏数据集概述
数据集摘要
该数据集是在评估模型 Fredithefish/RedPajama-INCITE-Chat-3B-Instruction-Tuning-with-GPT-4 在 Open LLM Leaderboard 上的自动创建的。数据集包含64个配置,每个配置对应一个评估任务。数据集从2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时间戳。"train" 分割始终指向最新结果。
数据集结构
数据集包含多个配置,每个配置对应不同的任务和运行结果。以下是部分配置的详细信息:
配置列表
-
harness_arc_challenge_25
- 分割: 2023_07_19T14_47_41.742069
- 路径:
**/details_harness|arc:challenge|25_2023-07-19T14:47:41.742069.parquet - 分割: latest
- 路径:
**/details_harness|arc:challenge|25_2023-07-19T14:47:41.742069.parquet
-
harness_drop_3
- 分割: 2023_09_28T15_50_00.560199
- 路径:
**/details_harness|drop|3_2023-09-28T15-50-00.560199.parquet - 分割: latest
- 路径:
**/details_harness|drop|3_2023-09-28T15-50-00.560199.parquet
-
harness_gsm8k_5
- 分割: 2023_09_28T15_50_00.560199
- 路径:
**/details_harness|gsm8k|5_2023-09-28T15-50-00.560199.parquet - 分割: latest
- 路径:
**/details_harness|gsm8k|5_2023-09-28T15-50-00.560199.parquet
-
harness_hellaswag_10
- 分割: 2023_07_19T14_47_41.742069
- 路径:
**/details_harness|hellaswag|10_2023-07-19T14:47:41.742069.parquet - 分割: latest
- 路径:
**/details_harness|hellaswag|10_2023-07-19T14:47:41.742069.parquet
-
harness_hendrycksTest_5
- 分割: 2023_07_19T14_47_41.742069
- 路径:
**/details_harness|hendrycksTest-abstract_algebra|5_2023-07-19T14:47:41.742069.parquet**/details_harness|hendrycksTest-anatomy|5_2023-07-19T14:47:41.742069.parquet- ... (其他路径省略)
- 分割: latest
- 路径:
**/details_harness|hendrycksTest-abstract_algebra|5_2023-07-19T14:47:41.742069.parquet**/details_harness|hendrycksTest-anatomy|5_2023-07-19T14:47:41.742069.parquet- ... (其他路径省略)
最新结果
以下是 2023-09-28T15:50:00.560199 运行 的最新结果:
python { "all": { "em": 0.018246644295302015, "em_stderr": 0.0013706682452812888, "f1": 0.0714765100671141, "f1_stderr": 0.0018411955158404013, "acc": 0.32543219642729987, "acc_stderr": 0.007862138879264232 }, "harness|drop|3": { "em": 0.018246644295302015, "em_stderr": 0.0013706682452812888, "f1": 0.0714765100671141, "f1_stderr": 0.0018411955158404013 }, "harness|gsm8k|5": { "acc": 0.006823351023502654, "acc_stderr": 0.0022675371022545044 }, "harness|winogrande|5": { "acc": 0.6440410418310971, "acc_stderr": 0.013456740656273959 } }



