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Early Stopping Config

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-09.)

Early Stopping Config has 4 facts recorded in Dontopedia across 1 reference.

4 facts·4 predicates·1 sources

Mostly:resets counter(1), sets patience threshold(1), initializes best loss(1)

Maturity scale raw canonical shape-checked rule-derived certified

Resets CounterresetsCounter

  • 0[1]sourceall time · 16f65671 D07e 48d2 Acab 39f052189088

Sets Patience ThresholdsetsPatienceThreshold

  • 5[1]sourceall time · 16f65671 D07e 48d2 Acab 39f052189088

Initializes Best LossinitializesBestLoss

  • Infinity[1]sourceall time · 16f65671 D07e 48d2 Acab 39f052189088

Rdf:typerdf:type

Timeline

Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.

4 undated
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initializesBestLossbeam/16f65671-d07e-48d2-acab-39f052189088
ex:infinity
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typebeam/16f65671-d07e-48d2-acab-39f052189088
ex:EarlyStoppingConfiguration
—
resetsCounterbeam/16f65671-d07e-48d2-acab-39f052189088
0
—
setsPatienceThresholdbeam/16f65671-d07e-48d2-acab-39f052189088
5

References (1)

1 references
  1. [1]beam-chunk4 facts
    customctx:claims/beam/16f65671-d07e-48d2-acab-39f052189088
    • full textbeam-chunk
      text/plain1 KBdoc:beam/16f65671-d07e-48d2-acab-39f052189088
      Show excerpt
      return x # Initialize scorer, optimizer, and loss function scorer = ComplexityScorer() optimizer = optim.Adam(scorer.parameters(), lr=1e-5, weight_decay=1e-5) loss_fn = nn.MSELoss() # Example data inputs = torch.randn(1000, 128) t…

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