feat: add metadata files for NNUE weights versions and implement burst training functionality with subsampling options
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{
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"version": 5,
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"date": "2026-04-09T18:50:27.845632",
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"num_positions": 2009355,
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"stockfish_depth": 12,
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"epochs": 100,
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"batch_size": 16384,
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"learning_rate": 0.001,
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"final_val_loss": 9.180421525105905e-05,
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"device": "cuda",
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"checkpoint": null,
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"notes": "Win rate vs classical eval: TBD (requires benchmark games)"
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}
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