eulogik/nanoforecast-v06-hc

⚠️ Experimental checkpoint — do not use as a general model

This is a research-only NanoForecast ablation, not a v0.6 release.

Result

It improves electricity and traffic substantially, but regresses ETT and exchange-rate accuracy. It therefore fails the release adoption gate.

Dataset	v0.5	v06-HC
ETTh1	0.676	1.141
ETTh2	1.110	1.244
ETTm1	0.287	1.642
exchange_rate	4.317	4.675
electricity	2.029	0.610
traffic	1.805	0.515
Overall	1.704	1.638

Official model

Use eulogik/nanoforecast-v05 for general forecasting.

Experiment

• USE_DART_NORM = False
• Electricity/traffic channels: 8
• Electricity/traffic upweight: 2x
• Epochs: 100
• Best epoch: 12
• Loss: MultiTaskLoss

Citation

@article{kishore2026nanoforecast,
  title={NanoForecast v0.5: Competitive Time Series Forecasting Through Training Pipeline Optimization},
  author={Kishore, Gautam},
  journal={arXiv preprint arXiv:2609.31669},
  year={2026}
}

Paper: arxiv.org/abs/2609.31669