Dontopedia

Training progress at 00:11

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

Training progress at 00:11 has 11 facts recorded in Dontopedia across 1 reference.

11 facts·10 predicates·1 sources

Mostly:rdf:type(1), has step count(1), has total steps(1)

Maturity scale raw canonical shape-checked rule-derived certified

Other facts (10)

The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.

10 facts
PredicateValueRef
Rdf:typeTraining Metric[1]
Has Step Count24500[1]
Has Total Steps50000[1]
Has Percentage Complete0.49[1]
Has Estimated Time Remaining~6 min[1]
Has Iteration Rate68[1]
Has Best Metric1.5656[1]
Best Metric From SourceFt1[1]
Has Observation About MetricHas Not Beaten Best Yet[1]
Expects ConvergenceConvergence on Lr Peak[1]

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.

labelblah/watt-activation/34
Training progress at 00:11
typeblah/watt-activation/34
ex:TrainingMetric
hasStepCountblah/watt-activation/34
24500
hasTotalStepsblah/watt-activation/34
50000
hasPercentageCompleteblah/watt-activation/34
0.49
hasEstimatedTimeRemainingblah/watt-activation/34
~6 min
hasIterationRateblah/watt-activation/34
68
hasBestMetricblah/watt-activation/34
1.5656
bestMetricFromSourceblah/watt-activation/34
ex:ft1
hasObservationAboutMetricblah/watt-activation/34
ex:has-not-beaten-best-yet
expectsConvergenceblah/watt-activation/34
ex:convergence-on-lr-peak

References (1)

1 references
  1. [1]3411 facts
    ctx:discord/blah/watt-activation/34
    • full textwatt-activation-34
      text/plain2 KBdoc:agent/watt-activation-34/d27c3240-c724-48a3-81cc-130cc7f77918
      Show excerpt
      [2026-03-07 00:11] xenonfun: Deep dive LR schedule gene system in symbiogenesis · 14 tool uses · 65.8k tokens │ ⎿  Done └─ Deep dive SymbioGPT training pipeline LR handling · 15 tool uses · 64.4k tokens ⎿  Done ⏺ Now I have ev

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