Update default net to nn-63376713ba63.nnue.

same data set as previous trained nets, tuned the wdl model slightly for training.
https://github.com/vondele/nnue-pytorch/tree/wdlTweak1

passed STC:
https://tests.stockfishchess.org/tests/view/61abe9e456fcf33bce7d2834
LLR: 2.93 (-2.94,2.94) <0.00,2.50>
Total: 31720 W: 8385 L: 8119 D: 15216
Ptnml(0-2): 117, 3534, 8273, 3838, 98

passed LTC:
https://tests.stockfishchess.org/tests/view/61ac293756fcf33bce7d36cf
LLR: 2.96 (-2.94,2.94) <0.50,3.00>
Total: 136136 W: 35255 L: 34741 D: 66140
Ptnml(0-2): 114, 14217, 38894, 14727, 116

closes https://github.com/official-stockfish/Stockfish/pull/3836

Bench: 4667742

diff --git a/src/evaluate.h b/src/evaluate.h
index 873a72dc40fabc6cc00caef542cba7206c2fb0a9..87cb65f36dbd01a127e4cbf203b010fd930ed5b1 100644 (file)
--- 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-cdf1785602d6.nnue"
+  #define EvalFileDefaultName   "nn-63376713ba63.nnue"
 
   namespace NNUE {