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 |  Subject: Latest abrok Development Version June 22nd Update default net to nn-5af11540bbfe.nnue (SF The gift that keeps on giving Thu Jun 22, 2023 11:23 am | |
| !! latest 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: Thu Jun 22 10:33:19 2023 +0200
Timestamp: 1687422799
Update default net to nn-5af11540bbfe.nnue
Created by retraining the sparsified master net (nn-cd2ff4716c34.nnue) on
a 100% minified dataset including Leela transformers data from T80 may2023.
Weights permuted with the exact methods and code in:
https://github.com/official-stockfish/Stockfish/pull/4620
LEB128 compression done with the new serialize.py param in:
https://github.com/glinscott/nnue-pytorch/pull/251
Initially trained with max epoch 800. Around epoch 780, training was paused
and max epoch raised to 960.
python3 easy_train.py \
--experiment-name L1-1536-sparse-master-retrain \
--training-dataset /data/leela96-dfrc99-v2-T60novdecT77decT78jantosepT79aprmayT80juntonovjan-v6dd-T80febtomay2023.min.binpack \
--early-fen-skipping 27 \
--start-from-engine-test-net True \
--max_epoch 960 \
--lr 4.375e-4 \
--gamma 0.995 \
--start-lambda 1.0 \
--end-lambda 0.7 \
--tui False \
--seed $RANDOM \
--gpus 0
For preparing the training dataset (interleaved size 328G):
python3 interleave_binpacks.py \
leela96-filt-v2.min.binpack \
dfrc99-16tb7p-eval-filt-v2.min.binpack \
filt-v6-dd-min/test60-novdec2021-12tb7p-filter-v6-dd.min.binpack \
filt-v6-dd-min/test77-dec2021-16tb7p-filter-v6-dd.min.binpack \
filt-v6-dd-min/test78-jantomay2022-16tb7p-filter-v6-dd.min.binpack \
filt-v6-dd-min/test78-juntosep2022-16tb7p-filter-v6-dd.min.binpack \
filt-v6-dd-min/test79-apr2022-16tb7p-filter-v6-dd.min.binpack \
filt-v6-dd-min/test79-may2022-16tb7p-filter-v6-dd.min.binpack \
filt-v6-dd-min/test80-jun2022-16tb7p-filter-v6-dd.min.binpack \
filt-v6-dd-min/test80-jul2022-16tb7p-filter-v6-dd.min.binpack \
filt-v6-dd-min/test80-aug2022-16tb7p-filter-v6-dd.min.binpack \
filt-v6-dd-min/test80-sep2022-16tb7p-filter-v6-dd.min.binpack \
filt-v6-dd-min/test80-oct2022-16tb7p-filter-v6-dd.min.binpack \
filt-v6-dd-min/test80-nov2022-16tb7p-filter-v6-dd.min.binpack \
filt-v6-dd-min/test80-jan2023-16tb7p-filter-v6-dd.min.binpack \
test80-2023/test80-feb2023-16tb7p-no-db.min.binpack \
test80-2023/test80-mar2023-2tb7p-no-db.min.binpack \
test80-2023/test80-apr2023-2tb7p-no-db.min.binpack \
test80-2023/test80-may2023-2tb7p-no-db.min.binpack \
/data/leela96-dfrc99-v2-T60novdecT77decT78jantosepT79aprmayT80juntonovjan-v6dd-T80febtomay2023.min.binpack
Minified binpacks and Leela T80 training data from 2023 available at:
https://robotmoon.com/nnue-training-data/
Local elo at 25k nodes per move:
nn-epoch879.nnue : 3.9 +/- 5.7
Passed STC:
https://tests.stockfishchess.org/tests/view/64928c1bdc7002ce609c7690
LLR: 2.94 (-2.94,2.94) <0.00,2.00>
Total: 72000 W: 19242 L: 18889 D: 33869 Elo +1.70
Ptnml(0-2): 182, 7787, 19716, 8126, 189
Passed LTC:
https://tests.stockfishchess.org/tests/view/64930a37dc7002ce609c82e3
LLR: 2.94 (-2.94,2.94) <0.50,2.50>
Total: 54552 W: 14978 L: 14647 D: 24927 Elo +2.11
Ptnml(0-2): 23, 5123, 16650, 5460, 20
closes https://github.com/official-stockfish/Stockfish/pull/4635
bench 2593605
see source |
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