Comments (6)
zhengbw0324
commented on May 17, 2024
@doublecheng12 您好！
目前我们参数设置是每个GPU的batch size为8，GPU显存为40G，训练的时候显存一般占满。不过您可以通过减少batch size，增大gradient_accumulation_steps来节省显存。
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doublecheng12
commented on May 17, 2024
感谢您的回复，所以是使用8*40G完成训练吗？
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zhengbw0324
commented on May 17, 2024
@doublecheng12
是的，8卡40G，但实际上更少的卡也可以训练，只是速度可能较慢，或者可以尝试使用lora微调，我们也提供了代码。
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doublecheng12
commented on May 17, 2024
再次感谢您的回复，这份工作的想法十分的novel，请问80G的显存可以完成这样的工作吗？因为我的实验室并没有这么多的卡？也许最多只能申请1-2张a800
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zhengbw0324
commented on May 17, 2024
80G的单张A800我没有尝试过，但两张80G的是一定可以的。
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doublecheng12
commented on May 17, 2024
感谢您这么晚的回复，祝您科研顺利
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