Dontopedia

divergence

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)

divergence has 7 facts recorded in Dontopedia across 4 references, with 2 live disagreements.

7 facts·4 predicates·4 sources·2 in dispute

Mostly:affects parameter(2), rdf:type(2), caused by(1)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (5)

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causesCauses(1)

exhibitsBehaviorExhibits Behavior(1)

hasEffectHas Effect(1)

impliesEndOfImplies End of(1)

includesPatternIncludes Pattern(1)

Other facts (6)

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.

6 facts
PredicateValueRef
Affects ParameterOmega[2]
Affects ParameterGamma[2]
Rdf:typePhenomenon[3]
Rdf:typeTraining Pattern[4]
Caused byBug R Global 0 59[1]
Described Asblowing up[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.

causedByblah/watt-activation/197
ex:bug-r-global-0-59
affectsParameterblah/watt-activation/497
ex:omega
affectsParameterblah/watt-activation/497
ex:gamma
describedAsblah/watt-activation/497
blowing up
typebeam/1714914a-4272-4b7c-91df-6c89df9429f8
ex:Phenomenon
typebeam/a72253d1-4d49-4967-ab0e-27d511ab4abb
ex:TrainingPattern
labelbeam/a72253d1-4d49-4967-ab0e-27d511ab4abb
divergence

References (4)

4 references
  1. [1]1971 fact
    ctx:discord/blah/watt-activation/197
    • full textwatt-activation-197
      text/plain2 KBdoc:agent/watt-activation-197/63f2f0e2-9ecd-4515-a9de-2f25b46f6dfc
      Show excerpt
      [2026-03-10 05:54] xenonfun: ⏺ Now I can analyze this properly. --- What we actually lose readout_dim = 2·G·H + n_pairs + 1 = 2·32 + 28 + 1 = 93 features is the concatenation of: - [0..31]: post-sync spectra (normalized to S^{H
  2. [2]4973 facts
    ctx:discord/blah/watt-activation/497
    • full textwatt-activation-497
      text/plain2 KBdoc:agent/watt-activation-497/e72fbd50-bc16-4a38-8957-fe8531b9864c
      Show excerpt
      [2026-03-22 17:52] xenonfun: if I am seeing this correct we are using 8 MB of memory. ⏺ The FD training is diverging — omega and gamma blowing up. The Euler ODE integrator is unstable at these parameter scales. This needs: 1. Much lower
  3. ctx:claims/beam/1714914a-4272-4b7c-91df-6c89df9429f8
    • full textbeam-chunk
      text/plain1 KBdoc:beam/1714914a-4272-4b7c-91df-6c89df9429f8
      Show excerpt
      - **Reason**: More epochs can lead to overfitting, but fewer epochs might not be enough for the model to learn the data well. 2. **Batch Size (`per_device_train_batch_size` and `per_device_eval_batch_size`)**: - **Suggested Value**:
  4. ctx:claims/beam/a72253d1-4d49-4967-ab0e-27d511ab4abb
    • full textbeam-chunk
      text/plain1 KBdoc:beam/a72253d1-4d49-4967-ab0e-27d511ab4abb
      Show excerpt
      - **Choose an Appropriate Optimizer**: Different optimizers (e.g., SGD, Adam, RMSprop) have different convergence properties. Experiment with different optimizers to find the one that works best for your model. ### 6. **Learning Rate Sc

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