1b7dea3f85
Created by first retraining the spsa-tuned main net `nn-ae6a388e4a1a.nnue` with: - using v6-dd data without bestmove captures removed - addition of T80 mar2024 data - increasing loss by 20% when Q is too high - torch.compile changes for marginal training speed gains And then SPSA tuning weights of epoch 899 following methods described in: https://github.com/official-stockfish/Stockfish/pull/5149 This net was reached at 92k out of 120k steps in this 70+0.7 th 7 SPSA tuning run: https://tests.stockfishchess.org/tests/view/66413b7df9f4e8fc783c9bbb Thanks to @Viren6 for suggesting usage of: - c value 4 for the weights - c value 128 for the biases Scripts for automating applying fishtest spsa params to exporting tuned .nnue are in: https://github.com/linrock/nnue-tools/tree/master/spsa Before spsa tuning, epoch 899 was nn-f85738aefa84.nnue https://tests.stockfishchess.org/tests/view/663e5c893a2f9702074bc167 After initially training with max-epoch 800, training was resumed with max-epoch 1000. ``` experiment-name: 3072--S11--more-data-v6-dd-t80-mar2024--see-ge0-20p-more-loss-high-q-sk28-l8 nnue-pytorch-branch: linrock/nnue-pytorch/3072-r21-skip-more-wdl-see-ge0-20p-more-loss-high-q-torch-compile-more start-from-engine-test-net: False start-from-model: /data/config/apr2024-3072/nn-ae6a388e4a1a.nnue early-fen-skipping: 28 training-dataset: /data/S11-mar2024/: - leela96.v2.min.binpack - test60-2021-11-12-novdec-12tb7p.v6-dd.min.binpack - test78-2022-01-to-05-jantomay-16tb7p.v6-dd.min.binpack - test80-2022-06-jun-16tb7p.v6-dd.min.binpack - test80-2022-08-aug-16tb7p.v6-dd.min.binpack - test80-2022-09-sep-16tb7p.v6-dd.min.binpack - test80-2023-01-jan-16tb7p.v6-sk20.min.binpack - test80-2023-02-feb-16tb7p.v6-sk20.min.binpack - test80-2023-03-mar-2tb7p.v6-sk16.min.binpack - test80-2023-04-apr-2tb7p.v6-sk16.min.binpack - test80-2023-05-may-2tb7p.v6.min.binpack # https://github.com/official-stockfish/Stockfish/pull/4782 - test80-2023-06-jun-2tb7p.binpack - test80-2023-07-jul-2tb7p.binpack # https://github.com/official-stockfish/Stockfish/pull/4972 - test80-2023-08-aug-2tb7p.v6.min.binpack - test80-2023-09-sep-2tb7p.binpack - test80-2023-10-oct-2tb7p.binpack # S9 new data: https://github.com/official-stockfish/Stockfish/pull/5056 - test80-2023-11-nov-2tb7p.binpack - test80-2023-12-dec-2tb7p.binpack # S10 new data: https://github.com/official-stockfish/Stockfish/pull/5149 - test80-2024-01-jan-2tb7p.binpack - test80-2024-02-feb-2tb7p.binpack # S11 new data - test80-2024-03-mar-2tb7p.binpack /data/filt-v6-dd/: - test77-dec2021-16tb7p-filter-v6-dd.binpack - test78-juntosep2022-16tb7p-filter-v6-dd.binpack - test79-apr2022-16tb7p-filter-v6-dd.binpack - test79-may2022-16tb7p-filter-v6-dd.binpack - test80-jul2022-16tb7p-filter-v6-dd.binpack - test80-oct2022-16tb7p-filter-v6-dd.binpack - test80-nov2022-16tb7p-filter-v6-dd.binpack num-epochs: 1000 lr: 4.375e-4 gamma: 0.995 start-lambda: 0.8 end-lambda: 0.7 ``` Training data can be found at: https://robotmoon.com/nnue-training-data/ Local elo at 25k nodes per move: nn-epoch899.nnue : 4.6 +/- 1.4 Passed STC: https://tests.stockfishchess.org/tests/view/6645454893ce6da3e93b31ae LLR: 2.95 (-2.94,2.94) <0.00,2.00> Total: 95232 W: 24598 L: 24194 D: 46440 Ptnml(0-2): 294, 11215, 24180, 11647, 280 Passed LTC: https://tests.stockfishchess.org/tests/view/6645522d93ce6da3e93b31df LLR: 2.95 (-2.94,2.94) <0.50,2.50> Total: 320544 W: 81432 L: 80524 D: 158588 Ptnml(0-2): 164, 35659, 87696, 36611, 142 closes https://github.com/official-stockfish/Stockfish/pull/5254 bench 1995552 |
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Stockfish
A free and strong UCI chess engine.
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Overview
Stockfish is a free and strong UCI chess engine derived from Glaurung 2.1 that analyzes chess positions and computes the optimal moves.
Stockfish does not include a graphical user interface (GUI) that is required to display a chessboard and to make it easy to input moves. These GUIs are developed independently from Stockfish and are available online. Read the documentation for your GUI of choice for information about how to use Stockfish with it.
See also the Stockfish documentation for further usage help.
Files
This distribution of Stockfish consists of the following files:
-
README.md, the file you are currently reading.
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Copying.txt, a text file containing the GNU General Public License version 3.
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AUTHORS, a text file with the list of authors for the project.
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src, a subdirectory containing the full source code, including a Makefile that can be used to compile Stockfish on Unix-like systems.
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a file with the .nnue extension, storing the neural network for the NNUE evaluation. Binary distributions will have this file embedded.
Contributing
See Contributing Guide.
Donating hardware
Improving Stockfish requires a massive amount of testing. You can donate your hardware resources by installing the Fishtest Worker and viewing the current tests on Fishtest.
Improving the code
In the chessprogramming wiki, many techniques used in Stockfish are explained with a lot of background information. The section on Stockfish describes many features and techniques used by Stockfish. However, it is generic rather than focused on Stockfish's precise implementation.
The engine testing is done on Fishtest. If you want to help improve Stockfish, please read this guideline first, where the basics of Stockfish development are explained.
Discussions about Stockfish take place these days mainly in the Stockfish Discord server. This is also the best place to ask questions about the codebase and how to improve it.
Compiling Stockfish
Stockfish has support for 32 or 64-bit CPUs, certain hardware instructions, big-endian machines such as Power PC, and other platforms.
On Unix-like systems, it should be easy to compile Stockfish directly from the
source code with the included Makefile in the folder src. In general, it is
recommended to run make help to see a list of make targets with corresponding
descriptions. An example suitable for most Intel and AMD chips:
cd src
make -j profile-build ARCH=x86-64-avx2
Detailed compilation instructions for all platforms can be found in our documentation. Our wiki also has information about the UCI commands supported by Stockfish.
Terms of use
Stockfish is free and distributed under the GNU General Public License version 3 (GPL v3). Essentially, this means you are free to do almost exactly what you want with the program, including distributing it among your friends, making it available for download from your website, selling it (either by itself or as part of some bigger software package), or using it as the starting point for a software project of your own.
The only real limitation is that whenever you distribute Stockfish in some way, you MUST always include the license and the full source code (or a pointer to where the source code can be found) to generate the exact binary you are distributing. If you make any changes to the source code, these changes must also be made available under GPL v3.