I Trained a Small Transformer in 1.5 Hours and It Beats Many LLMs

A researcher trained a compact transformer model in under two hours and benchmarked it against a range of larger commercial LLMs on the ARC-1 task. The result demonstrates that targeted training on specific reasoning tasks can outperform much larger general-purpose models on narrow benchmarks. The post details the training setup, dataset choices, and benchmark methodology.