Unverified Commit aa9129a3 authored by brett koonce's avatar brett koonce Committed by GitHub
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readme: lossing --> losing (#503)

parent 05ce7971
......@@ -159,7 +159,7 @@ Primary goal is to allow scaling to bigger batch sizes without losing model accu
At a high level, we want ML researchers to:
* go parallel more easily (i.e. no need to find new learning rate schedules)
* not worrying about lossing accuracy
* not worrying about losing accuracy
* potentially higher GPU efficiency (fewer steps, less networking overhead, etc.)
# Testing
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