Harness 原版的逻辑与 hendrycks/test(官方测评方案)基本相似。 此外,参考 huggingface 的 博客。我们对 harness mmlu 的评测方法进行改动后重新测试,gpt2 的测试结果 MMLU 分数为 26.3,与官方描述的还是有点差距。 吐槽下 lm-evaluation-harness 对 MMLU 任务的评测代码效率真的低(或许是为了集成除 MMLU 外其他 ...
第一步:下载安装 git clone https://github.com/EleutherAI/lm-evaluation-harness cd lm-evaluation-harness pip install -e .第二步:使用命令行测试模型 # 设置下最大并行数量的环境变量 export NUMEXPR_MAX_T…
The Language Model Evaluation Harness is the backend for 🤗 Hugging Face's popularOpen LLM Leaderboard, has been used inhundreds of papers, and is used internally by dozens of organizations including NVIDIA, Cohere, BigScience, BigCode, Nous Research, and Mosaic ML. Install To install thelm-...
To visualize the results, run the eval harness with thelog_samplesandoutput_pathflags. We expectoutput_pathto contain multiple folders that represent individual model names. You can thus run your evaluation on any number of tasks and models and upload all of the results as projects on Zeno. l...
lm-evaluation-harness的安装和使用方法 1、安装 从GitHub仓库安装lm-eval包,请运行: git clone https://github.com/EleutherAI/lm-evaluation-harness cd lm-evaluation-harness pip install -e . 我们还提供了许多可选依赖项以扩展功能。在本文件末尾有一个详细的表格。
haileyschoelkopf Bump version to v0.4.4 ; Fixes to TMMLUplus (EleutherAI#2280) 543617f· Sep 5, 2024 HistoryHistory Breadcrumbs lm-evaluation-harness / pyproject.tomlTop File metadata and controls Code Blame 107 lines (98 loc) · 2.83 KB Raw [build-system] requires = ["setuptools>=40.8...
git clone https://github.com/EleutherAI/lm-evaluation-harness cd lm-evaluation-harness pip install -e . Evalaute: MODEL=instruction-pretrain/InstructLM-1.3B add_bos_token=True # this flag is needed because lm-eval-harness set add_bos_token to False by default, but ours require add_bos...
as for many of my research colleagues. Ever since programming AI for computer games as a teenager, and throughout my years as a neuroscience researcher trying to understand the workings of the brain, I’ve always believed that if we could build smarter machines, we could harness them to bene...
lm-evaluation-harness的安装和使用方法 1、安装 从GitHub仓库安装lm-eval包,请运行: git clone https://github.com/EleutherAI/lm-evaluation-harness cd lm-evaluation-harness pip install -e . 我们还提供了许多可选依赖项以扩展功能。在本文件末尾有一个详细的表格。
Learn more about Gemini’s capabilities and see how it works.了解有关Gemini能力的更多信息,并了解其工作原理。 Sophisticated reasoning复杂的推理 Gemini 1.0’s sophisticated multimodal reasoning capabilities can help make sense of complex written and visual information. This makes it uniquely skilled at ...