Dontopedia

AdamW

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

AdamW has 40 facts recorded in Dontopedia across 4 references, with 3 live disagreements.

40 facts·33 predicates·4 sources·3 in dispute

Mostly:rdf:type(4), has parameter(2), is instance(1)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (9)

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associatedWithAssociated With(1)

attributedPropertyToAttributed Property to(1)

comparedToCompared to(1)

comparisonWithComparison With(1)

coversCovers(1)

describesDescribes(1)

fallsBackToBehaviorFalls Back to Behavior(1)

relatedToRelated to(1)

schedulesSchedules(1)

Other facts (37)

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.

37 facts
PredicateValueRef
Rdf:typeOptimizer Algorithm[1]
Rdf:typeOptimizer[2]
Rdf:typeOptimizer[3]
Rdf:typeOptimizer[4]
Has Parameterlr=1e-5[2]
Has Parameterweight_decay=0.01[2]
Is InstanceAdam W[2]
OptimizesModel[2]
Is Variant ofAdam Optimizer[2]
Is Used inDense Retrieval Model[3]
Requires Tuning of ParameterWeight Decay Parameter[3]
Is Related toAdam Optimizer[3]
Is Extension ofAdam Optimizer[4]
AddressesWeight Decay Regularization[4]
Use CaseModern Deep Learning Applications[4]
Preferred forWeight Decay[4]
Compared toAdam Optimizer[4]
Handling ofWeight Decay[4]
Handling QualityBetter Than Adam[4]
PopularityPreferred in Modern Applications[4]
Related toAdam Optimizer[4]
Addresses IssueWeight Decay Regularization[4]
Similar toAdam Optimizer[4]
Better Handling ofWeight Decay[4]
Due toEffectiveness With Weight Decay[4]
AdvantageWeight Decay Regularization[4]
Popularity StatusPreferred in Modern Applications[4]
Handles ParameterWeight Decay[4]
Improvement OverAdam Optimizer[4]
Full FormAdam with Weight Decay[4]
Alternative NameWeight Decay[4]
Comparison WithAdam Optimizer[4]
ContextDeep Learning Applications[4]
SolvesWeight Decay Issue[4]
ExhibitsModern Preference[4]
Addresses ProblemWeight Decay Regularization[4]
List Position5[4]

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/285
ex:OptimizerAlgorithm
labelblah/watt-activation/285
AdamW
typebeam/503d566f-4b98-4b5e-a567-8579fbcf1e30
ex:Optimizer
isInstancebeam/503d566f-4b98-4b5e-a567-8579fbcf1e30
ex:AdamW
hasParameterbeam/503d566f-4b98-4b5e-a567-8579fbcf1e30
lr=1e-5
hasParameterbeam/503d566f-4b98-4b5e-a567-8579fbcf1e30
weight_decay=0.01
optimizesbeam/503d566f-4b98-4b5e-a567-8579fbcf1e30
ex:model
isVariantOfbeam/503d566f-4b98-4b5e-a567-8579fbcf1e30
ex:Adam-optimizer
typebeam/58f12238-1846-4fee-9e47-8a6406dd05a7
ex:Optimizer
isUsedInbeam/58f12238-1846-4fee-9e47-8a6406dd05a7
ex:dense-retrieval-model
requiresTuningOfParameterbeam/58f12238-1846-4fee-9e47-8a6406dd05a7
ex:weight-decay-parameter
isRelatedTobeam/58f12238-1846-4fee-9e47-8a6406dd05a7
ex:adam-optimizer
typebeam/6edc4c3a-4a2d-408e-9bf1-1f44cdcdbb84
ex:Optimizer
labelbeam/6edc4c3a-4a2d-408e-9bf1-1f44cdcdbb84
AdamW
labelbeam/6edc4c3a-4a2d-408e-9bf1-1f44cdcdbb84
Weight Decay
isExtensionOfbeam/6edc4c3a-4a2d-408e-9bf1-1f44cdcdbb84
ex:adam-optimizer
addressesbeam/6edc4c3a-4a2d-408e-9bf1-1f44cdcdbb84
ex:weight-decay-regularization
useCasebeam/6edc4c3a-4a2d-408e-9bf1-1f44cdcdbb84
ex:modern-deep-learning-applications
preferredForbeam/6edc4c3a-4a2d-408e-9bf1-1f44cdcdbb84
ex:weight-decay
comparedTobeam/6edc4c3a-4a2d-408e-9bf1-1f44cdcdbb84
ex:adam-optimizer
handlingOfbeam/6edc4c3a-4a2d-408e-9bf1-1f44cdcdbb84
ex:weight-decay
handlingQualitybeam/6edc4c3a-4a2d-408e-9bf1-1f44cdcdbb84
ex:better-than-adam
popularitybeam/6edc4c3a-4a2d-408e-9bf1-1f44cdcdbb84
ex:preferred-in-modern-applications
relatedTobeam/6edc4c3a-4a2d-408e-9bf1-1f44cdcdbb84
ex:adam-optimizer
addressesIssuebeam/6edc4c3a-4a2d-408e-9bf1-1f44cdcdbb84
ex:weight-decay-regularization
similarTobeam/6edc4c3a-4a2d-408e-9bf1-1f44cdcdbb84
ex:adam-optimizer
betterHandlingOfbeam/6edc4c3a-4a2d-408e-9bf1-1f44cdcdbb84
ex:weight-decay
dueTobeam/6edc4c3a-4a2d-408e-9bf1-1f44cdcdbb84
ex:effectiveness-with-weight-decay
advantagebeam/6edc4c3a-4a2d-408e-9bf1-1f44cdcdbb84
ex:weight-decay-regularization
popularityStatusbeam/6edc4c3a-4a2d-408e-9bf1-1f44cdcdbb84
ex:preferred-in-modern-applications
handlesParameterbeam/6edc4c3a-4a2d-408e-9bf1-1f44cdcdbb84
ex:weight-decay
improvement-overbeam/6edc4c3a-4a2d-408e-9bf1-1f44cdcdbb84
ex:adam-optimizer
fullFormbeam/6edc4c3a-4a2d-408e-9bf1-1f44cdcdbb84
Adam with Weight Decay
alternativeNamebeam/6edc4c3a-4a2d-408e-9bf1-1f44cdcdbb84
Weight Decay
comparisonWithbeam/6edc4c3a-4a2d-408e-9bf1-1f44cdcdbb84
ex:adam-optimizer
contextbeam/6edc4c3a-4a2d-408e-9bf1-1f44cdcdbb84
ex:deep-learning-applications
solvesbeam/6edc4c3a-4a2d-408e-9bf1-1f44cdcdbb84
ex:weight-decay-issue
exhibitsbeam/6edc4c3a-4a2d-408e-9bf1-1f44cdcdbb84
ex:modern-preference
addressesProblembeam/6edc4c3a-4a2d-408e-9bf1-1f44cdcdbb84
ex:weight-decay-regularization
listPositionbeam/6edc4c3a-4a2d-408e-9bf1-1f44cdcdbb84
5

References (4)

4 references
  1. [1]2852 facts
    ctx:discord/blah/watt-activation/285
    • full textwatt-activation-285
      text/plain2 KBdoc:agent/watt-activation-285/0a74c0c6-ada8-40c7-b750-836f76809b91
      Show excerpt
      [2026-03-14 00:59] xenonfun: it ran all this with ` ROTATIONAL STRENGTH = 0.0` which falls back to AdamW behavior, sweeping with higher values as in prior tests had better results than standard AdamW. ``` ⏺ Rotational Strength Results ┌
  2. ctx:claims/beam/503d566f-4b98-4b5e-a567-8579fbcf1e30
    • full textbeam-chunk
      text/plain1 KBdoc:beam/503d566f-4b98-4b5e-a567-8579fbcf1e30
      Show excerpt
      truncation=True, return_attention_mask=True, return_tensors='pt' ) return { 'query': query_encoding, 'passage': passage_encoding } def __len__(self):
  3. ctx:claims/beam/58f12238-1846-4fee-9e47-8a6406dd05a7
    • full textbeam-chunk
      text/plain1 KBdoc:beam/58f12238-1846-4fee-9e47-8a6406dd05a7
      Show excerpt
      - **Cons**: Requires tuning of the weight decay parameter. ### 5. **AdaBelief** - **Description**: AdaBelief is a recent optimizer that modifies the adaptive learning rate scheme of Adam to better align with the curvature of the loss
  4. ctx:claims/beam/6edc4c3a-4a2d-408e-9bf1-1f44cdcdbb84

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