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RandomTuringDuck avatar RandomTuringDuck commented on June 1, 2024

写错了,是验证集F@3只有0.1

from bert-kpe.

SunSiShining avatar SunSiShining commented on June 1, 2024

Hi, 谢谢你的问题。请问你是不是把batch size或者accumulate steps改了,导致model没有很好的收敛。我们当时在training dataset上的Epoch Mean Loss=0.0471 (epoch=4), 然后在dev上测试F1@3=0.368, 你可以提供一下目前你的model在training dataset上的Epoch Mean Loss数值吗? 这样我们可以进一步确认问题,并帮助解决。

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SunSiShining avatar SunSiShining commented on June 1, 2024

我们在2块Tesla T4(2*16G)上跑的实验,因此直接将batch size调整为其最大容量。如果你使用不同容量的计算卡,我们建议可以稍微调整一下accumulate steps,让model可以充分收敛。如果还有问题欢迎提问,这个issue我们先close了。也可以邮件沟通: [email protected]

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RandomTuringDuck avatar RandomTuringDuck commented on June 1, 2024

我们在2块Tesla T4(2*16G)上跑的实验,因此直接将batch size调整为其最大容量。如果你使用不同容量的计算卡,我们建议可以稍微调整一下accumulate steps,让model可以充分收敛。如果还有问题欢迎提问,这个issue我们先close了。也可以邮件沟通: [email protected]

非常感谢你的回答,我看了一下我的mean loss确实没有降到你所说的那个值, 可能跟我使用的卡有关,我只用了一张24G的M40。我会再尝试一下,按照你的意见。

from bert-kpe.

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