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batch size of WavLM #1742

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Hey,

In the paper it is stated that batch size is 350seconds, is that per GPU, or total batch size? Also, if I follow the hyper-parameters of the HuBERT repo to pre-train the model I get a batch size of 2800seconds on 32 V100 GPUs

Kind Regards,
Goksenin Yuksel

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  1. mindmapper15 commented on Mar 27, 2026

    @mindmapper15

    Same question here!

    Göksenin Yüksel (@root-goksenin) BTW, in the WavLM paper, the authors said that the Base and Base+ models are fine-tuned on 8 GPUs with a batch size equivalent to 200 seconds of audio for each GPU. The Large model is fine-tuned on 24 GPUs with a batch size equivalent to 80 seconds of audio for each GPU. So, it might be per GPU batch size I guess?

  2. root-goksenin commented on Apr 1, 2026

    @root-goksenin
    Author

    mindmapper15 I am also thinking that it may be per-gpu. This paper: https://arxiv.org/abs/2305.10005 shows that WavLM's batch size is 187 minutes, which matches 350 seconds * 32 GPUs

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