By sharing an in depth account of our day-to-working day instruction process, we disclose not just exactly how much compute was accustomed to practice the current Model of OPT-175B, but will also the human overhead expected when underlying infrastructure or the coaching process by itself gets to be unstable at scale. These facts are commonly omitted from prior publications, very likely because of The lack to completely ablate modifications manufactured mid-flight (without substantially increasing the compute finances).

Loss divergences have been also a difficulty inside our coaching operate. Once the reduction diverged, we observed that decreasing the learning price and restarting from an previously checkpoint permitted to the work to Get better and carry on instruction. We observed a correlation in between reduction divergence, our dynamic decline scalar crashing to 0, and the l2superscript 2l^ 2 -norm from the activations of the ultimate layer spiking.

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