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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 #3836 Bench: 4667742
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src/evaluate.h

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@@ -39,7 +39,7 @@ namespace Eval {
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// The default net name MUST follow the format nn-[SHA256 first 12 digits].nnue
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// for the build process (profile-build and fishtest) to work. Do not change the
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// name of the macro, as it is used in the Makefile.
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#define EvalFileDefaultName "nn-cdf1785602d6.nnue"
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#define EvalFileDefaultName "nn-63376713ba63.nnue"
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namespace NNUE {
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