# Evaluation

Evaluation was done on a summarization task with:

for details see: https://github.com/GermanT5/german-t5-eval

# Tips for training on GPUs

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.

That is why we suggest to use DeepSpeed for training. In particular, we recommend the ZeRO-3 Example auto configuration.

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, T-Systems onsite
Copyright 2022 P. S.

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