Optimization of eight subnetwork output layers of Michael's nn-
190f102a22c3.nnue using SPSA
https://tests.stockfishchess.org/tests/view/
60d5510642a522cc50282ef3
Parameters: A total of 256 net weights and 8 net biases were tuned
New best values: The raw values at the end of the tuning run were used (800k games, 5 seconds TC)
Settings: default ck value and SPSA A is 30,000 (3.75% of the total number of games)
STC:
LLR: 2.94 (-2.94,2.94) <-0.50,2.50>
Total: 29064 W: 2435 L: 2269 D: 24360
Ptnml(0-2): 72, 1857, 10505, 2029, 69
https://tests.stockfishchess.org/tests/view/
60d8ea123beab81350ac9eb6
LTC:
LLR: 2.93 (-2.94,2.94) <0.50,3.50>
Total: 61848 W: 2055 L: 1884 D: 57909
Ptnml(0-2): 18, 1708, 27310, 1861, 27
https://tests.stockfishchess.org/tests/view/
60d8f0393beab81350ac9ec6
closes https://github.com/official-stockfish/Stockfish/pull/3593
Bench:
4770936
// 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-956480d8378f.nnue"
+ #define EvalFileDefaultName "nn-3475407dc199.nnue"
namespace NNUE {