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NanoForecast v0.5: Competitive Time Series Forecasting Through Training Pipeline Optimization

arXiv:2609.31669v1 Announce Type: new Abstract: We present NanoForecast v0.5, a 6.5M-parameter forecaster that competes with models 31x its size (TimesFM, 200M parameters) after training pipeline fixes and no architecture change. Retraining the v0.3 architecture with corrected loss-scope handling,…

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  1. 2026-09-29 04:00 · arXiv cs.LG
    NanoForecast v0.5: Competitive Time Series Forecasting Through Training Pipeline Optimization

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