Scalable Training of Language Models using JAX pjit and TPUv4

Joanna Yoo; Kuba Perlin; Siddhartha Rao Kamalakara; João G. M. Araújo

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arXiv · 2204.06514

Scalable Training of Language Models using JAX pjit and TPUv4

Joanna Yoo·Kuba Perlin·Siddhartha Rao Kamalakara·João G. M. Araújo

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Abstract

Modern large language models require distributed training strategies due to their size. The challenges of efficiently and robustly training them are met with rapid developments on both software and hardware frontiers. In this technical report, we explore challenges and design decisions associated with developing a scalable training framework, and present a quantitative analysis of efficiency improvements coming from adopting new software and hardware solutions.

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Joanna Yoo, Kuba Perlin, Siddhartha Rao Kamalakara, João G. M. Araújo. 2022-04-13. Scalable Training of Language Models using JAX pjit and TPUv4. https://arxiv.org/abs/2204.06514

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