Dev Builds » 20221221-0614

Use this dev build

NCM plays each Stockfish dev build 20,000 times against Stockfish 15. This yields an approximate Elo difference and establishes confidence in the strength of the dev builds.

Summary

Host Duration Avg Base NPS Games WLD Standard Elo Ptnml(0-2) Gamepair Elo

Test Detail

ID Host Base NPS Games WLD Standard Elo Ptnml(0-2) Gamepair Elo CLI PGN

Commit

Commit ID c620886181b5c0fb4a0c067b4173143a81819199
Author Linmiao Xu
Date 2022-12-21 06:14:58 UTC
Update default net to nn-335a9b2d8a80.nnue Created by retraining the master net with a combination of: the previous best dataset (Leela-dfrc_n5000.binpack), with about half the dataset filtered using depth6 multipv2 search to throw away positions where either of the 2 best moves are captures Leela T80 Oct and Nov training data rescored with best moves, adding ~9.5 billion positions Trained effectively the same way as the previous master net: python3 easy_train.py \ --experiment-name=leela-dfrc-filtered-T80-oct-nov \ --training-dataset=/data/leela-dfrc-filtered-T80-oct-nov.binpack \ --start-from-engine-test-net True \ --gpus="0," \ --start-lambda=1.0 \ --end-lambda=0.75 \ --gamma=0.995 \ --lr=4.375e-4 \ --tui=False \ --seed=$RANDOM \ --max_epoch=800 \ --auto-exit-timeout-on-training-finished=900 \ --network-testing-threads 20 \ --num-workers 6 Local testing at a fixed 25k nodes: experiments/experiment_leela-dfrc-filtered-T80-oct-nov/training/run_0/nn-epoch779.nnue localElo: run_0/nn-epoch779.nnue : 4.7 +/- 3.1 The new Leela T80 part of the dataset was prepared by downloading test80 training data from all of Oct 2022 and Nov 2022, rescoring with syzygy 6-piece tablebases and ~600 GB of 7-piece tablebases, saving best moves to exported .plain files, removing all positions with castling flags, then converting to binpacks and using interleave_binpacks.py to merge them together. Scripts used in this data conversion process are available at: https://github.com/linrock/lc0-data-converter Filtering binpack data using depth6 multipv2 search was done by modifying transform.cpp in the tools branch: https://github.com/linrock/Stockfish/tree/tools-filter-multipv2-no-rescore Links for downloading the training data (total size: 338 GB) are available at: https://robotmoon.com/nnue-training-data/ Passed STC: LLR: 2.94 (-2.94,2.94) <0.00,2.00> Total: 30544 W: 8244 L: 7947 D: 14353 Ptnml(0-2): 93, 3243, 8302, 3542, 92 https://tests.stockfishchess.org/tests/view/63a0d377264a0cf18f86f82b Passed LTC: LLR: 2.95 (-2.94,2.94) <0.50,2.50> Total: 32464 W: 8866 L: 8573 D: 15025 Ptnml(0-2): 19, 3054, 9794, 3345, 20 https://tests.stockfishchess.org/tests/view/63a10bc9fb452d3c44b1e016 closes https://github.com/official-stockfish/Stockfish/pull/4295 Bench 3554904
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