Comments (2)
我用了更小的数据集尝试在2张GPU上复现ALBEF源码和ALBEF-ELIP,发现两者预训练Epoch的时长区别不大。
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Hi,
用CC3M pre-train的话,我们采用的是40*4的batch size,每个epoch的时间对比是 ELIP : ALBEF
<-> 406 : 441
minutes。
由于ELIP比较省显存,所以我们可以加到58*4的batch size,这样每个epoch时间就降到了 369 mins,并且downstream的performance还比original的ALBEF高 -> 这个才是我们的最终目标,在实现memory-efficient (not time efficient)的基础上,通过加大batch,达到超过原base model的performance。
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