Evaluation was done on a summarization task with:
for details see: https://github.com/GermanT5/german-t5-eval
This model is too big to fit on a normal 16GB GPU in FP32 mode. For various reasons, T5 models cannot be trained in FP16 mode. However, mixed precision training is not yet supported on many GPUs. For example, it does not work on V100 GPUs. On A100, however, it does.
ZeRO-Offload pushes the boundary of the maximum model size that can be trained efficiently using minimal GPU resources, by exploiting computational and memory resources on both GPUs and their host CPUs.
Copyright 2022 Stefan Schweter
Copyright 2022 Philip May
Copyright 2022 Philipp Schmid
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