Dontopedia

training complete

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-07-03.)

training complete has 14 facts recorded in Dontopedia across 2 references, with 2 live disagreements.

14 facts·10 predicates·2 sources·2 in dispute

Mostly:rdf:type(2), has metric(2), has elapsed time(1)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (1)

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hasEventHas Event(1)

Other facts (12)

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12 facts
PredicateValueRef
Rdf:typeEvent[1]
Rdf:typeEvent[2]
Has MetricFinal Val Loss[1]
Has MetricPpl Metric[1]
Has Elapsed Time20.6 min[1]
Has Text Token Count56967168[1]
Has Text Token Speed70787[1]
Has Text Step Count3477[1]
Has Total Step Count10432[1]
Has Best Validation Perplexity83.4[1]
Reported byTraining Log Output[2]
Event ofXenonfun[2]

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.

typeblah/watt-activation/244
ex:Event
labelblah/watt-activation/244
training complete
hasMetricblah/watt-activation/244
ex:final-val-loss
hasMetricblah/watt-activation/244
ex:ppl-metric
hasElapsedTimeblah/watt-activation/244
20.6 min
hasTextTokenCountblah/watt-activation/244
56967168
hasTextTokenSpeedblah/watt-activation/244
70787
hasTextStepCountblah/watt-activation/244
3477
hasTotalStepCountblah/watt-activation/244
10432
hasBestValidationPerplexityblah/watt-activation/244
83.4
labeldocument/014e57c6-64a1-4baf-a007-2f39ad657584
Training Complete!
typedocument/014e57c6-64a1-4baf-a007-2f39ad657584
ex:Event
reportedBydocument/014e57c6-64a1-4baf-a007-2f39ad657584
ex:training-log-output
eventOfdocument/014e57c6-64a1-4baf-a007-2f39ad657584
ex:xenonfun

References (2)

2 references
  1. [1]24410 facts
    ctx:discord/blah/watt-activation/244
    • full textwatt-activation-244
      text/plain3 KBdoc:agent/watt-activation-244/12f61b26-af40-4e33-a8d7-716f2405dc1b
      Show excerpt
      [2026-03-12 05:23] xenonfun: ❯ can we infer on images and audio or get them back out? ⏺ Not yet — the current architecture is encoder-only for image/audio (projects them into the sequence for cross-modal context), but only has a text outpu
  2. ctx:claims/document/014e57c6-64a1-4baf-a007-2f39ad657584
    • full textxenonfun: Iter 500/500 | Loss: 7.7340 (PPL: 2284.72) | Avg(50): 7.7189 (PPL: 2250.37) | Be
      text/plain522 Bdiscord:msg/1d395cc5-5e38-4484-83e6-7b4722081ecb
      Show excerpt
      xenonfun: Iter 500/500 | Loss: 7.7340 (PPL: 2284.72) | Avg(50): 7.7189 (PPL: 2250.37) | Best: 6.8625 | LR: 1.00e-04 | 140.4 it/s (36.0K tok/s | 100.00%) | ETA: 0m 0s ====================================================================== Tra

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