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New default net nn-33c9d39e5eb6.nnue
As the previous net, this net is trained on Leela games as provided by borg. See also https://lczero.org/blog/2021/06/the-importance-of-open-data/ The particular data set, which is a mix of T60 and T74 data, is now available as a single binpack: https://drive.google.com/file/d/1RFkQES3DpsiJqsOtUshENtzPfFgUmEff/view?usp=sharing The training command was: python train.py ../../training_data_pylon.binpack ../../training_data_pylon.binpack --gpus 1 --threads 2 --num-workers 2 --batch-size 16384 --progress_bar_refresh_rate 300 --smart-fen-skipping --random-fen-skipping 10 --features=HalfKAv2^ --lambda=1.0 --max_epochs=440 --seed $RANDOM --default_root_dir exp/run_2 passed STC: https://tests.stockfishchess.org/tests/view/60c887cb457376eb8bcab054 LLR: 2.94 (-2.94,2.94) <-0.50,2.50> Total: 12792 W: 1483 L: 1311 D: 9998 Ptnml(0-2): 62, 989, 4131, 1143, 71 passed LTC: https://tests.stockfishchess.org/tests/view/60c8e5c4457376eb8bcab0f0 LLR: 2.95 (-2.94,2.94) <0.50,3.50> Total: 11272 W: 601 L: 477 D: 10194 Ptnml(0-2): 9, 421, 4657, 535, 14 also had strong LTC performance against another strong net of the series: https://tests.stockfishchess.org/tests/view/60c8c40d457376eb8bcab0c6 closes https://github.com/official-stockfish/Stockfish/pull/3557 Bench: 5032320
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@ -39,7 +39,7 @@ namespace Eval {
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// The default net name MUST follow the format nn-[SHA256 first 12 digits].nnue
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// for the build process (profile-build and fishtest) to work. Do not change the
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// name of the macro, as it is used in the Makefile.
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#define EvalFileDefaultName "nn-8e47cf062333.nnue"
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#define EvalFileDefaultName "nn-33c9d39e5eb6.nnue"
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namespace NNUE {
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