作者通过400个不同大小语言模型在5B-50B数上训练不同的时长,来探究LLM的scale law。实验发现,model size和training tokens应当scale equally,如:当model size扩大一倍,training tokens也应当扩大一倍。作者根据这个scale law训练chinchilla,在多个任务上实现SOTA。 之前训练大模型的scale law主要参考OpenAI的《Scaling law...
标题:Wukong: Towards a Scaling Law for Large-Scale Recommendation 地址:arxiv.org/pdf/2403.0254 公司:meta 1.导读 Scaling laws在nlp,cv领域的模型改进方面起着重要作用,但是目前推荐模型并没有表现出类似于在大型语言模型领域观察到的规律,作者认为一个是模型本身结构问题,因此提出了一种基于堆叠的因子分解机(...
We recorded the deformation modes of the NTs under two types of stress states. In the first, the TBs of the primary NTs exhibit a 70° angle to the loading direction, and a shear stress is applied on the TBs. In the other, the TBs of the primary NTs are closely parallel to the loa...
🔥 Discovering power-law Scaling Laws in VAR transformers📈: 🔥 Zero-shot generalizability🛠️: For a deep dive into our analyses, discussions, and evaluations, check out our paper. VAR zoo We provide VAR models for you to play with, which are on or can be downloaded from the foll...
With the scale of the backbone PLM growing, prompt-tuning becomes more and more competitive in performance, and would even achieve comparable performance to fine-tuning for a PLM with over 10 billion parameters19, and the convergence speed of prompt-tuning benefits from the scaling law. In th...
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A class of complex networks defined by a heavy-tailed degree distribution that can be approximated by a power-law. High-degree hubs have a higher probability in scale-free networks than in comparable random graphs. Topological efficiency A metric of network integration that is calculated as the ...
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在训练数十亿参数的大型语言模型之前,作者首先训练一些小型模型,并为训练更大模型建立scaling law。作者启动了一系列模型大小的训练,从1000万到30亿参数,规模从最终模型的1/1000到1/10不等,每个模型都在一致的超参数和相同的Baichuan 2数据集下训练最多1万亿个token。根据不同模型的最终损失,可以获得从训练浮点运算...