NanoForecast v0.5 improves forecasting accuracy with training pipeline fixes; achieves 6.5M-parameter performance competitive with 200M-parameter TimesFM under fixed protocol (MASE 3.030 to 1.704)
Read the original at arxiv.org→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...
Original headline: "NanoForecast v0.5: Competitive Time Series Forecasting Through Training Pipeline Optimization"
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- Sep 29, 04:00 UTC arXiv cs.LG lead source NanoForecast v0.5: Competitive Time Series Forecasting Through Training Pipeline Optimization