English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Training large deep neural networks on massive datasets is computationallyvery challenging. There has been recent surge in interest in using large batchstochastic optimization methods to tackle this issue. The most prominentalgorithm in this line of research is LARS, which by employing layerwiseadaptive learning rates trains ResNet on ImageNet in a few minutes. However,LARS performs poorly for attention models like BERT, indicating that itsperformance gains are not consistent across tasks. In this paper, we firststudy a principled layerwise adaptation strategy to accelerate training of deepneural networks using large mini-batches. Using this strategy, we develop a newlayerwise adaptive large batch optimization technique called LAMB; we thenprovide convergence analysis of LAMB as well as LARS, showing convergence to astationary point in general nonconvex settings. Our empirical resultsdemonstrate the superior performance of LAMB across various tasks such as BERTand ResNet-50 training with very little hyperparameter tuning. In particular,for BERT training, our optimizer enables use of very large batch sizes of 32868without any degradation of performance. By increasing the batch size to thememory limit of a TPUv3 Pod, BERT training time can be reduced from 3 days tojust 76 minutes (Table 1). The LAMB implementation is available athttps://github.com/tensorflow/addons/blob/master/tensorflow_addons/optimizers/lamb.py

Large Batch Optimization for Deep Learning: Training BERT in 76 minutes