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Cheng Chang edited this page Oct 2, 2025
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Welcome to the KataGo Training Project Wiki.
This project documents the training and evaluation of KataGo neural networks (KW10βKW22 and beyond), led by changcheng967 (Cheng Chang) with training support from Doulet Media.
The KW series explores the progression of KataGo models trained on 19x19 Go data.
Each generation (KW10βKW22) has been evaluated against the FMGo7 baseline and prior models, with Elo ratings, win rates, and efficiency metrics recorded.
- ELO Estimator Script
- Lizzieyzy (analysis tool)
- KataGo Training
- Project by: changcheng967 (Cheng Chang)
- Training supported by: Doulet Media
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Data sources:
- ELO estimator.py
- results.xlsx
- lizzieyzy
- katagotraining.org
- Other sources used during evaluation and analysis
Last updated: October 2, 2025
Project by: changcheng967 (Cheng Chang)
Training supported by: Doulet Media
Data sources and references:
- ELO estimator.py
- results.xlsx
- lizzieyzy
- katagotraining.org
Last updated: October 2, 2025
- ELO Estimator Script
- Results Spreadsheet
- Lizzieyzy (analysis tool)
- KataGo Training
- Project by: changcheng967 (Cheng Chang)
- Training supported by: Doulet Media
- Data sources: FMGo7 baseline, lizzieyzy, KataGo official initial checkpoints, and other references