Tag

#data-prep

Articles tagged "data-prep" — 1 entry.

Article №20 training NeMo ~2 hours — 5 min for the corpus pull, 45 min for a derived container build, 2 min for the Curator pipeline + 40s tokenize, 3 min for the 8-config sweep, the rest is reading the numbers
Machine that Builds Machines

The Data-Path Envelope — When Real Tokens Beat Random Tokens at Pretrain Throughput

Curator-cleaned wikitext-103 (109M tokens, 417 MiB packed) feeding the same 354M GPT pretrain loop from A2. Eight configs swept; data-path overhead is 0.01–0.04% across all of them. New peak: 14,980 tok/s — slightly above A2's random-token ceiling.