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Training Run Akan Gpt2

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

Training Run Akan Gpt2 has 9 facts recorded in Dontopedia across 1 reference.

9 facts·9 predicates·1 sources

Mostly:has model architecture(1), has iteration count(1), uses corpus(1)

Maturity scale raw canonical shape-checked rule-derived certified

Has Model ArchitecturehasModelArchitecture

  • GPT-2[1]all time · 86

Has Iteration CounthasIterationCount

  • 10000[1]sourceall time · 86

Uses CorpususesCorpus

Has Training Corpus SizehasTrainingCorpusSize

  • 37000000[1]sourceall time · 86

Has Parameter CounthasParameterCount

  • 113000000[1]sourceall time · 86

Has Vocabulary SizehasVocabularySize

  • 8000[1]sourceall time · 86

Has Iteration TargethasIterationTarget

  • 10000[1]sourceall time · 86

Rdfs:labelrdfs:label

  • akan_gpt2 training[1]all time · 86

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.

hasIterationCountblah/watt-activation/86
10000
hasIterationTargetblah/watt-activation/86
10000
hasModelArchitectureblah/watt-activation/86
GPT-2
hasParameterCountblah/watt-activation/86
113000000
hasTrainingCorpusSizeblah/watt-activation/86
37000000
hasVocabularySizeblah/watt-activation/86
8000
labelblah/watt-activation/86
akan_gpt2 training
typeblah/watt-activation/86
ex:MachineLearningTrainingRun
usesCorpusblah/watt-activation/86
ex:sep-corpus

References (1)

1 references
  1. customctx:discord/blah/watt-activation/86
    • full textwatt-activation-86
      text/plain3 KBdoc:agent/watt-activation-86/bc7a2772-1179-48c1-afbe-4b1a0bbfd051
      Show excerpt
      [2026-03-07 21:13] xenonfun: ``` iter 2500/10000 | loss=4.5293 | PPL=92.7 | lr=2.82e-04 | 2.2 it/s (9.1K tok/s) | mem=1848MB peak=20665MB iter 3000/10000 | loss=4.5102 | PPL=90.9 | lr=2.68e-04 | 2.2 it/s (9.1K tok/s) | mem=1848MB peak=2

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