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Trying to understand this but not much luck so far. I run sf-nnue run (halfkp-256x2-32-32) x64-bmi2 from the command line and then used go depth 20 The engine just stopped after some time without any output, is this expected. Suggestion - allow nn.bin to be in same directory as the exe, this seems ...

Problably new best net, also from Gekkehenker: 40+0.3 # PLAYER : RATING ERROR POINTS PLAYED (%) 1 stnnuegk2 : 2860.6 3.9 930.5 1814 51.3% 2 stnnuegk1 : 2851.4 3.9 883.5 1814 48.7% Here the net: https://cdn.discordapp.com/attachments/718853716266188890/725417723609481296/nn_best_24_june.7z Thanks to ...

New test at longer time control 200 + 0.5

Gekkehenker comments: TB6 + draws included in the trainging data. Almost 1 billion depth 8 positions with TB6. gensfen depth 8 loop 1000000000 random_max_ply 14 random_move _count 7 write_min_ply 14 output_file_name 1bdepth8.bin Command to learn: learn targetdir traindir loop 100 batchsize 1000000 e...

Problably new best net, the Gekkehenker one: 40+0.3 # PLAYER : RATING ERROR POINTS PLAYED (%) 1 stnnuegk1 : 2866.9 8.7 268.5 506 53.1% 2 stnnuecl1 : 2845.1 8.7 237.5 506 46.9% Link to the net: https://drive.google.com/file/d/1XgojspHWL-tJxC6O5wNyaO6wYmL9Szo7/view Congatulations Gekkehenker! :-)

I have done also a test in multithreading, 3 threads as the computers have 6 cores. Somehow the short time control is very bad, but at long time control is ok: Stc 50 + 0.3 3 threads: # PLAYER : RATING ERROR POINTS PLAYED (%) 1 st200617 : 2916.6 11.2 290.0 437 66.4% 2 stnnuecl1 : 2795.4 11.2 147.0 4...

Thanks! Another question. The training phase uses only one cpu even setting the number of threads. Is this the normal behaviour? In the readme states to set various threads as in the generation phase. Are you using the blas version? Yes, the one on the readme.txt stockfish.nnue-learn-use-blas.k-p_2...

Thanks! Another question.
The training phase uses only one cpu even setting the number of threads. Is this the normal behaviour? In the readme states to set various threads as in the generation phase.

"nps 49143364" "nps 52486448" What's your normal nps? The NN should be around 40-50% slower than regular Stockfish. Also what binary are you using? using this binary "/Stockfish/src/stockfish" I included two outputs. One is with the NN loaded, the other is without the NN loaded. rates were 49143364...

Can I take a net and improve it with a new "traninig phase" with new generated training data? I have the evalsave folder with the first training.
Thanks.