Comments (2)
Hey @stevezheng23, we reported the number of documents used as constrained by the amount of DAPT we wanted to perform for the experiments. That is, we only used enough documents such that we could perform our 12.5K gradient updates with batch size of 2K. This will not use all of the RealNews dataset.
We didn't perform any intentional filtering, just a random subsampling.
from dont-stop-pretraining.
Got it, great to know that random subsampling is applied to get 11.90M docs, thanks!
from dont-stop-pretraining.
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from dont-stop-pretraining.