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Increase eval_source_shuffle_buffer and eval_source_skip_max #174

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Increase eval_source_shuffle_buffer and eval_source_skip_max #174

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4 changes: 2 additions & 2 deletions connito/shared/config.py
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Original file line number Diff line number Diff line change
Expand Up @@ -243,7 +243,7 @@ class DataCfg(BaseConfig):
# same `combined_seed` — same brief consensus-divergence shape as
# the recent block-hash seed mix-in. Operators who need to opt out
# for memory reasons can set this to 0 in their config.
eval_source_shuffle_buffer: int = 50_000
eval_source_shuffle_buffer: int = 100_000
# Per-source random read offset applied AFTER the buffer shuffle. When
# > 0, each source is `ds.skip(rng.randrange(0, N))`-d so the validator
# reads from a random DEPTH into the (already-randomly-chosen) lead
Expand All @@ -267,7 +267,7 @@ class DataCfg(BaseConfig):
# predictability. Same coordinated-rollout discipline as
# `eval_source_shuffle_buffer` — validators on different defaults
# diverge for one round, then re-converge.
eval_source_skip_max: int = 50_000
eval_source_skip_max: int = 100_000

@model_validator(mode="after")
def _validate_dataset_sources(self):
Expand Down