Update default net to nn-335a9b2d8a80.nnue

linrock · vondele · commit c620886181b5 · 2022-12-21T07:14:58.000+01:00
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 #4295 Bench 3554904
diff --git a/src/evaluate.h b/src/evaluate.h
@@ -39,7 +39,7 @@ namespace Eval {
   // The default net name MUST follow the format nn-[SHA256 first 12 digits].nnue
   // for the build process (profile-build and fishtest) to work. Do not change the
   // name of the macro, as it is used in the Makefile.
-  #define EvalFileDefaultName   "nn-ad9b42354671.nnue"
+  #define EvalFileDefaultName   "nn-335a9b2d8a80.nnue"
 
   namespace NNUE {
 
