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Update default net to nn-0dd1cebea573.nnue #4606

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Commits on Jun 6, 2023

  1. Update default net to nn-0dd1cebea573.nnue

    Created by retraining an earlier epoch of the experiment leading to the first SFNNv6 net
    on a more-randomized version of the nn-e1fb1ade4432.nnue dataset mixed with unfiltered
    T80 apr2023 data. Trained using early-fen-skipping 28 and max-epoch 960.
    
    The trainer settings and epochs used in the 5-step training sequence leading here were:
    1. train from scratch for 400 epochs, lambda 1.0, constant LR 9.75e-4, T79T77-filter-v6-dd.min.binpack
    2. retrain ep379, max-epoch 800, end-lambda 0.75, T60T70wIsRightFarseerT60T74T75T76.binpack
    3. retrain ep679, max-epoch 800, end-lambda 0.75, skip 28, nn-e1fb1ade4432 dataset
    4. retrain ep799, max-epoch 800, end-lambda 0.7, skip 28, nn-e1fb1ade4432 dataset
    5. retrain ep439, max-epoch 960, end-lambda 0.7, skip 28, shuffled nn-e1fb1ade4432 + T80 apr2023
    
    This net was epoch 559 of the final (step 5) retraining:
    
    ```bash
    python3 easy_train.py \
      --experiment-name L1-1536-Re4-leela96-dfrc99-T60novdec-v2-T80juntonovjanfebT79aprmayT78jantosepT77dec-v6dd-T80apr-shuffled-sk28 \
      --training-dataset /data/leela96-dfrc99-T60novdec-v2-T80juntonovjanfebT79aprmayT78jantosepT77dec-v6dd-T80apr.binpack \
      --nnue-pytorch-branch linrock/nnue-pytorch/misc-fixes-L1-1536 \
      --early-fen-skipping 28 \
      --start-lambda 1.0 \
      --end-lambda 0.7 \
      --max_epoch 960 \
      --start-from-engine-test-net False \
      --start-from-model /data/L1-1536-Re3-nn-epoch439.nnue \
      --engine-test-branch linrock/Stockfish/L1-1536 \
      --lr 4.375e-4 \
      --gamma 0.995 \
      --tui False \
      --seed $RANDOM \
      --gpus "0,"
    ```
    
    During data preparation, most binpacks were unminimized by removing positions with
    score 32002 (`VALUE_NONE`). This makes the tradeoff of increasing dataset filesize
    on disk to increase the randomness of positions in interleaved datasets.
    The code used for unminimizing is at:
    https://github.com/linrock/Stockfish/tree/tools-unminify
    
    For preparing the dataset used in this experiment:
    
    ```bash
    python3 interleave_binpacks.py \
      leela96-filt-v2.binpack \
      dfrc99-16tb7p-eval-filt-v2.binpack \
      filt-v6-dd-min/test60-novdec2021-12tb7p-filter-v6-dd.min-mar2023.unmin.binpack \
      filt-v6-dd-min/test80-aug2022-16tb7p-filter-v6-dd.min-mar2023.unmin.binpack \
      filt-v6-dd-min/test80-sep2022-16tb7p-filter-v6-dd.min-mar2023.unmin.binpack \
      filt-v6-dd-min/test80-jun2022-16tb7p-filter-v6-dd.min-mar2023.unmin.binpack \
      filt-v6-dd/test80-jul2022-16tb7p-filter-v6-dd.binpack \
      filt-v6-dd/test80-oct2022-16tb7p-filter-v6-dd.binpack \
      filt-v6-dd/test80-nov2022-16tb7p-filter-v6-dd.binpack \
      filt-v6-dd-min/test80-jan2023-3of3-16tb7p-filter-v6-dd.min-mar2023.unmin.binpack \
      filt-v6-dd-min/test80-feb2023-16tb7p-filter-v6-dd.min-mar2023.unmin.binpack \
      filt-v6-dd/test79-apr2022-16tb7p-filter-v6-dd.binpack \
      filt-v6-dd/test79-may2022-16tb7p-filter-v6-dd.binpack \
      filt-v6-dd-min/test78-jantomay2022-16tb7p-filter-v6-dd.min-mar2023.unmin.binpack \
      filt-v6-dd/test78-juntosep2022-16tb7p-filter-v6-dd.binpack \
      filt-v6-dd/test77-dec2021-16tb7p-filter-v6-dd.binpack \
      test80-apr2023-2tb7p.binpack \
      /data/leela96-dfrc99-T60novdec-v2-T80juntonovjanfebT79aprmayT78jantosepT77dec-v6dd-T80apr.binpack
    ```
    
    T80 apr2023 data was converted using lc0-rescorer with ~2tb of tablebases and can be found at:
    https://robotmoon.com/nnue-training-data/
    
    Local elo at 25k nodes per move vs. nn-e1fb1ade4432.nnue (L1 size 1024):
    nn-epoch559.nnue : 25.7 +/- 1.6
    
    Passed STC:
    https://tests.stockfishchess.org/tests/view/647cd3b87cf638f0f53f9cbb
    LLR: 2.95 (-2.94,2.94) <0.00,2.00>
    Total: 59200 W: 16000 L: 15660 D: 27540
    Ptnml(0-2): 159, 6488, 15996, 6768, 189
    
    Passed LTC:
    https://tests.stockfishchess.org/tests/view/647d58de726f6b400e4085d8
    LLR: 2.95 (-2.94,2.94) <0.50,2.50>
    Total: 58800 W: 16002 L: 15657 D: 27141
    Ptnml(0-2): 44, 5607, 17748, 5962, 39
    
    bench 2141197
    linrock committed Jun 6, 2023
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