Update default net to nn-ac5605a608d6.nnue

Update default net to nn-ac5605a608d6.nnue

This net was created with the nnue-pytorch trainer, it used the previous master net as a starting point.

The training data includes all T60 data (https://drive.google.com/drive/folders/1rzZkgIgw7G5vQMLr2hZNiUXOp7z80613), all T74 data (https://drive.google.com/drive/folders/1aFUv3Ih3-A8Vxw9064Kw_FU4sNhMHZU-) and the wrongNNUE_02_d9.binpack (https://drive.google.com/file/d/1seGNOqcVdvK_vPNq98j-zV3XPE5zWAeq). The Leela data were randomly named and then concatenated. All data was merged into one binpack using interleave_binpacks.py.

python3 train.py \
    ../data/t60_t74_wrong.binpack \
    ../data/t60_t74_wrong.binpack \
    --resume-from-model ../data/nn-e8321e467bf6.pt \
    --gpus 1 \
    --threads 4 \
    --num-workers 1 \
    --batch-size 16384 \
    --progress_bar_refresh_rate 300 \
    --random-fen-skipping 3 \
    --features=HalfKAv2_hm^ \
    --lambda=1.0 \
    --max_epochs=600 \
    --seed $RANDOM \
    --default_root_dir ../output/exp_24

STC:
LLR: 2.95 (-2.94,2.94) <-0.50,2.50>
Total: 15320 W: 1415 L: 1257 D: 12648
Ptnml(0-2): 50, 1002, 5402, 1152, 54
https://tests.stockfishchess.org/tests/view/611c404a4977aa1525c9c97f

LTC:
LLR: 2.94 (-2.94,2.94) <0.50,3.50>
Total: 9440 W: 345 L: 248 D: 8847
Ptnml(0-2): 3, 222, 4175, 315, 5
https://tests.stockfishchess.org/tests/view/611c6c7d4977aa1525c9c996

LTC with UHO_XXL_+0.90_+1.19.epd:
LLR: 2.94 (-2.94,2.94) <0.50,3.50>
Total: 6232 W: 1638 L: 1459 D: 3135
Ptnml(0-2): 5, 592, 1744, 769, 6
https://tests.stockfishchess.org/tests/view/611c9b214977aa1525c9c9cb

closes https://github.com/official-stockfish/Stockfish/pull/3664

Bench: 5375286