Pretraining BERT with Layer-wise Adaptive Learning Rates – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-03-24T16:00:00Z http://www.open-lab.net/blog/feed/ Sharath Sreenivas <![CDATA[Pretraining BERT with Layer-wise Adaptive Learning Rates]]> http://www.open-lab.net/blog/?p=15981 2022-08-21T23:39:41Z 2019-12-05T18:39:10Z Training with larger batches is a straightforward way to scale training of deep neural networks to larger numbers of accelerators and reduce the training time....]]> Training with larger batches is a straightforward way to scale training of deep neural networks to larger numbers of accelerators and reduce the training time....

Training with larger batches is a straightforward way to scale training of deep neural networks to larger numbers of accelerators and reduce the training time. However, as the batch size increases, numerical instability can appear in the training process. The purpose of this post is to provide an overview of one class of solutions to this problem: layer-wise adaptive optimizers, such as LARS, LARC��

Source

]]> 0 ���˳���97caoporen����