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 Latest abrok Development Version Febuary 27th Update default net to nn-52471d67216a.nnue (SF The gift that keeps on giving

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LondonFrau
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Latest abrok Development Version Febuary 27th Update default net to nn-52471d67216a.nnue  (SF The gift that keeps on giving Empty
PostSubject: Latest abrok Development Version Febuary 27th Update default net to nn-52471d67216a.nnue (SF The gift that keeps on giving   Latest abrok Development Version Febuary 27th Update default net to nn-52471d67216a.nnue  (SF The gift that keeps on giving EmptyTue Feb 28, 2023 11:53 am

version !!


Windows x64 for Haswell CPUs
Windows x64 for modern computers + AVX2
Windows x64 for modern computers
Windows x64 + SSSE3
Windows x64
Linux x64 for Haswell CPUs
Linux x64 for modern computers + AVX2
Linux x64 for modern computers
Linux x64 + SSSE3
Linux x64
Author: Linmiao Xu
Date: Mon Feb 27 22:07:52 2023 +0100
Timestamp: 1677532072

Update default net to nn-52471d67216a.nnue

Created by retraining the master net with modifications to the previous best dataset:

* Improving T80 oct+nov 2022 endgame lambda accuracy by rescoring with 12-16tb of syzygy 7p tablebases
* Filtering T78 jun+jul+aug 2022 with d6pv2 search to remove positions with bestmove captures or one good move
* Adding T80 sep 2022 data, rescored with 16tb of 7p tablebases, unfiltered

Trained with max-epoch 900, end-lambda 0.7, and early-fen-skipping 28.

```
python3 easy_train.py \
--experiment-name leela96-dfrc99-T80octnovT79aprmayT78junjulaugT60novdec-filt-v2-T78sep12tb7p-T77decT80sep16tb7p-lambda7-sk28 \
--training-dataset /data/leela96-dfrc99-T80octnovT79aprmayT78junjulaugT60novdec-filt-v2-T78sep12tb7p-T77decT80sep16tb7p.binpack \
--nnue-pytorch-branch linrock/nnue-pytorch/easy-train-early-fen-skipping \
--early-fen-skipping 28 \
--start-from-engine-test-net True \
--gpus "0," \
--max_epoch 900 \
--start-lambda 1.0 \
--end-lambda 0.7 \
--gamma 0.995 \
--lr 4.375e-4 \
--tui False \
--seed $RANDOM
```

Training data was rescored and d6pv2 filtered in the same way as recent best datasets.
For preparing the merged training dataset:

```
python3 interleave_binpacks.py \
leela96-eval-filt-v2.binpack \
dfrc99-eval-filt-v2.binpack \
test80-oct2022-16tb7p-eval-filt-v2-d6.binpack \
test80-nov2022-12tb7p-eval-filt-v2-d6.binpack \
T79-apr2022-12tb7p-eval-filt-v2.binpack \
T79-may2022-12tb7p-eval-filt-v2.binpack \
test78-junjulaug2022-16tb7p-eval-filt-v2-d6.binpack \
T60-nov2021-12tb7p-eval-filt-v2.binpack \
T60-dec2021-12tb7p-eval-filt-v2.binpack \
T78-sep2022-12tb7p.binpack \
test77-dec2021-16gb7p.binpack \
test80-sep2022-16tb7p.binpack \
/data/leela96-dfrc99-T80octnovT79aprmayT78junjulaugT60novdec-filt-v2-T78sep12tb7p-T77decT80sep16tb7p.binpack
```

Links for downloading the training data components can be found at:
https://robotmoon.com/nnue-training-data/

Local elo at 25k nodes per move:
nn-epoch839.nnue : 0.6 +/- 1.4

Passed STC:
https://tests.stockfishchess.org/tests/view/63f9ab4be74a12625bcdf02e
LLR: 2.95 (-2.94,2.94) <0.00,2.00>
Total: 84656 W: 22681 L: 22302 D: 39673 Elo +1.56
Ptnml(0-2): 271, 9343, 22734, 9696, 284

Passed LTC:
https://tests.stockfishchess.org/tests/view/63fa3833e74a12625bce0c0e
LLR: 2.94 (-2.94,2.94) <0.50,2.50>
Total: 184664 W: 49933 L: 49344 D: 85387 Elo +1.11
Ptnml(0-2): 111, 17977, 55561, 18578, 105

closes https://github.com/official-stockfish/Stockfish/pull/4416

bench: 4814343
see source

_________________
Bettina...............The greatest happiness of life is the conviction that we are loved.

Victor Hugo

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