Rotational Adam W
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-05-02.)
Rotational Adam W has 69 facts recorded in Dontopedia across 18 references, with 2 live disagreements.
69 facts·66 predicates·18 sources·2 in dispute
Mostly:is baseline(3), achieves convergence(2), was not stored(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedIs Baselinein disputeisBaseline
- Optimizer Smoke Test Report[3]all time · Part 214
- true[2]all time · Part 215
- true[11]all time · Part 216
Achieves Convergencein disputeachievesConvergence
- Low Loss[2]all time · Part 215
- Val Loss Decrease[3]all time · Part 214
Was Not StoredwasNotStored
- Current Setup[18]all time · Part 175
Differs FromdiffersFrom
Is Geometry Aware OptimizerisGeometryAwareOptimizer
- rotation optimizer described[6]all time · Part 213
Is Geometry RespectingisGeometryRespecting
- {}[6]all time · Part 213
Operates on ManifoldoperatesOnManifold
- Stiefel Manifold[6]all time · Part 213
Preserves StructurepreservesStructure
- Spectral Harmonic Structure[6]all time · Part 213
Relies onreliesOn
- Forward Pass Normalization[6]all time · Part 213
Updates ViaupdatesVia
- retraction (rotation)[6]all time · Part 213
Uses Zero Weight DecayusesZeroWeightDecay
- Dynamical Parameters[6]all time · Part 213
Applied toappliedTo
Inbound mentions (27)
Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.
usesOptimizerUses Optimizer(3)
- Anchor Kan Lohe V3
ex:anchor-kan-lohe-v3 - Evolvable Unit
ex:evolvable-unit - Training Run Lohe Spherical Lohe V3
ex:training-run-lohe-spherical-lohe-v3
comparesOptimizersCompares Optimizers(1)
- Step 1000 Comparison Table
ex:step-1000-comparison-table
conflictsWithConflicts With(1)
- Compile
ex:compile
emphasizesBaselineStatusEmphasizes Baseline Status(1)
- Message 1
ex:message-1
equivalentToEquivalent to(1)
- Rot Adam W
ex:rot-adam-w
evaluatesOptimizerEvaluates Optimizer(1)
- Summary Table
ex:summary-table
evaluatesPositivelyEvaluates Positively(1)
- Xenonfun
ex:xenonfun
extendsExtends(1)
- Kuramoto Rotational Adam W
ex:kuramoto-rotational-adam-w
hasBetterSnrThanHas Better Snr Than(1)
- Sgd Momentum
ex:sgd-momentum
hasComponentHas Component(1)
- Harmonic Rust
ex:harmonic-rust
hasHigherCapacityThanHas Higher Capacity Than(1)
- Sgd Momentum
ex:sgd-momentum
hasRotationalVariantHas Rotational Variant(1)
- Adam W
ex:adam-w
implementsOptimizerImplements Optimizer(1)
- Rust Project
ex:rust-project
includesIncludes(1)
- Project Specific Patterns
ex:project-specific-patterns
isFasterThanIs Faster Than(1)
- Lohe Optimizer+jchain
ex:lohe-optimizer+jchain
lossDecreasesWithLoss Decreases With(1)
- Training Component
ex:training-component
mapsToSymbiogenesisComponentMaps to Symbiogenesis Component(1)
- Plan Phase 0 Ws Baseline
ex:plan-phase-0-ws-baseline
mightRefactorMight Refactor(1)
- Xenonfun
ex:xenonfun
performsWorseThanPerforms Worse Than(1)
- Lohe Optimizer+jchain
ex:lohe-optimizer+jchain
reportsForOptimizerReports for Optimizer(1)
- Train Loss Averages
ex:train-loss-averages
sameAsSame As(1)
- Rot Adam W
ex:rot-adam-w
supportsOptimizerSupports Optimizer(1)
- Training Component
ex:training-component
triggersOnTopicTriggers on Topic(1)
- Monumental Mlx Expert Skill
ex:monumental-mlx-expert-skill
usesOnUses on(1)
- Wave Unified Muon Train
ex:wave-unified-muon-train
worseBpbThanWorse Bpb Than(1)
- Sgd Momentum
ex:sgd-momentum
Other facts (54)
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.
54 facts
| Predicate | Value | Ref |
|---|---|---|
| Replaces | Euclidean Adam | [17] |
| Beats Sgd on | Full Scale Models | [7] |
| Handles S3 Geometry | null | [7] |
| Has Capacity | 3.0 | [7] |
| Has Snr | -5.2 | [7] |
| Has Step1000 Bpb | 2.210 | [7] |
| Performs Manifold Aware Updates | null | [7] |
| Proven Winner | Full Scale | [7] |
| Recommended for Production | null | [7] |
| Right Optimizer for | Full Model | [7] |
| Superior on Full Scale | null | [7] |
| Uses Tangent Projection on | S N 1 Intersect Sum Zero | [7] |
| Wins by Bpb Difference | 1.6 | [7] |
| Wins Over | Sgd Momentum | [7] |
| Achieved in Steps | 200 | [1] |
| Caused Loss Drop | 4.12 → 1.51 BPB (2.18) | [1] |
| Improves Over | Sgd | [1] |
| Makes Huge Difference | Convergence | [1] |
| Shows Better Convergence | Sgd | [1] |
| Status | Pending | [1] |
| Superior to | Sgd | [1] |
| Is Advocated As Essential | Symbol Formation | [10] |
| Is Not Optional | Symbol Formation | [10] |
| Is Cheap | Optimizer | [12] |
| To Be Compiled | Compiled | [15] |
| Is Incompatible With | Mx Compile | [13] |
| Has First10 Steps Avg Train Loss | 12.0019 | [3] |
| Has Last10 Steps Avg Train Loss | 8.0125 | [3] |
| Has Mid10 Steps Avg Train Loss | 8.1202 | [3] |
| Has Tokens Per Second | 10870 | [3] |
| Has Train Loss | 7.8673 | [3] |
| Has Train Ppl | 2610.6 | [3] |
| Has Val Loss | 7.8202 | [3] |
| Has Val Ppl | 2490.3 | [3] |
| Has Wall Time Seconds | 376.8 | [3] |
| Achieves Throughput | 11.6K tok/s | [4] |
| Exhibits Strong Convergence | From Scratch Training | [4] |
| Eliminates Need for | Weight Decay | [8] |
| Is Numbered | 1 | [8] |
| Keeps Constant | Weight Norms | [8] |
| Preserves | Weight Magnitudes | [8] |
| Uses Angular Updates on | Per Neuron Spheres | [8] |
| Includes | Ws | [9] |
| Supports Import | true | [9] |
| Assumes Small Learning Rate | null | [6] |
| Manifold Native | null | [7] |
| Is Manifold Aware | true | [1] |
| Is Project Specific | Monumental Project | [10] |
| Potentially Speeds Up | 20-45% | [15] |
| Is Optimizer | true | [13] |
| Requires | Python Level Dict Mutations | [13] |
| Relates to | Lohe Optimizer | [16] |
| Is Teleologically Necessary | Manifold Geometry | [10] |
| Performs Well | null | [14] |
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.
—
achievedInStepsblah/watt-activation/part-457
200
—
achievesConvergenceblah/watt-activation/part-215
ex:low-loss
—
achievesConvergenceblah/watt-activation/part-214
ex:val-loss-decrease
—
achievesThroughputblah/watt-activation/part-183
11.6K tok/s
—
appliedToblah/watt-activation/part-693
ex:couplings
—
assumesSmallLearningRateblah/watt-activation/part-213
null
—
beatsSgdOnblah/watt-activation/part-459
ex:full-scale-models
—
causedLossDropblah/watt-activation/part-457
4.12 → 1.51 BPB (2.18)
—
differsFromblah/watt-activation/part-213
ex:adam-w
—
eliminatesNeedForblah/watt-activation/part-117
ex:weight-decay
—
exhibitsStrongConvergenceblah/watt-activation/part-183
ex:from-scratch-training
—
handlesS3Geometryblah/watt-activation/part-459
null
—
hasCapacityblah/watt-activation/part-459
3.0
—
hasFirst10StepsAvgTrainLossblah/watt-activation/part-214
12.0019
—
hasLast10StepsAvgTrainLossblah/watt-activation/part-214
8.0125
—
hasMid10StepsAvgTrainLossblah/watt-activation/part-214
8.1202
—
hasSnrblah/watt-activation/part-459
-5.2
—
hasStep1000Bpbblah/watt-activation/part-459
2.210
—
hasTokensPerSecondblah/watt-activation/part-214
10870
—
hasTrainLossblah/watt-activation/part-214
7.8673
—
hasTrainPPLblah/watt-activation/part-214
2610.6
—
hasValLossblah/watt-activation/part-214
7.8202
—
hasValPPLblah/watt-activation/part-214
2490.3
—
hasWallTimeSecondsblah/watt-activation/part-214
376.8
—
improvesOverblah/watt-activation/part-457
ex:sgd
—
includesblah/watt-activation/part-96
ex:ws
—
isAdvocatedAsEssentialblah/watt-activation/part-311
ex:symbol-formation
—
isBaselineblah/watt-activation/part-214
ex:optimizer-smoke-test-report
—
isBaselineblah/watt-activation/part-215
true
—
isBaselineblah/watt-activation/part-216
true
—
isCheapblah/watt-activation/part-293
ex:optimizer
—
isGeometryAwareOptimizerblah/watt-activation/part-213
rotation optimizer described
—
isGeometryRespectingblah/watt-activation/part-213
{}
—
isIncompatibleWithblah/watt-activation/part-221
ex:mx-compile
—
isManifoldAwareblah/watt-activation/part-457
true
—
isNotOptionalblah/watt-activation/part-311
ex:symbol-formation
—
isNumberedblah/watt-activation/part-117
1
—
isOptimizerblah/watt-activation/part-221
true
—
isProjectSpecificblah/watt-activation/part-311
ex:monumental-project
—
isTeleologicallyNecessaryblah/watt-activation/part-311
ex:manifold-geometry
—
keepsConstantblah/watt-activation/part-117
ex:weight-norms
—
makesHugeDifferenceblah/watt-activation/part-457
ex:convergence
—
manifoldNativeblah/watt-activation/part-459
null
—
operatesOnManifoldblah/watt-activation/part-213
ex:stiefel-manifold
—
performsManifoldAwareUpdatesblah/watt-activation/part-459
null
—
performsWellblah/watt-activation/part-217
null
—
potentiallySpeedsUpblah/watt-activation/part-231
20-45%
—
preservesblah/watt-activation/part-117
ex:weight-magnitudes
—
preservesStructureblah/watt-activation/part-213
ex:spectral-harmonic-structure
—
provenWinnerblah/watt-activation/part-459
ex:full-scale
—
recommendedForProductionblah/watt-activation/part-459
null
—
relatesToblah/watt-activation/part-211
ex:lohe-optimizer
—
reliesOnblah/watt-activation/part-213
ex:forward-pass-normalization
—
replacesblah/watt-activation/part-463
ex:euclidean-adam
—
requiresblah/watt-activation/part-221
ex:python-level-dict-mutations
—
rightOptimizerForblah/watt-activation/part-459
ex:full-model
—
showsBetterConvergenceblah/watt-activation/part-457
ex:sgd
—
statusblah/watt-activation/part-457
Pending
—
superiorOnFullScaleblah/watt-activation/part-459
null
—
superiorToblah/watt-activation/part-457
ex:sgd
—
supportsImportblah/watt-activation/part-96
true
—
toBeCompiledblah/watt-activation/part-231
ex:compiled
—
updatesViablah/watt-activation/part-213
retraction (rotation)
—
usesAngularUpdatesOnblah/watt-activation/part-117
ex:per-neuron-spheres
—
usesTangentProjectionOnblah/watt-activation/part-459
ex:s-n-1-intersect-sum-zero
—
usesZeroWeightDecayblah/watt-activation/part-213
ex:dynamical-parameters
—
wasNotStoredblah/watt-activation/part-175
ex:current-setup
—
winsByBpbDifferenceblah/watt-activation/part-459
1.6
—
winsOverblah/watt-activation/part-459
ex:sgd-momentum
References (18)
18 references
- custom
ctx:discord/blah/watt-activation/part-457 - custom
ctx:discord/blah/watt-activation/part-215 - custom
ctx:discord/blah/watt-activation/part-214 - custom
ctx:discord/blah/watt-activation/part-183 - custom
ctx:discord/blah/watt-activation/part-693 - custom
ctx:discord/blah/watt-activation/part-213 - custom
ctx:discord/blah/watt-activation/part-459 - custom
ctx:discord/blah/watt-activation/part-117 - custom
ctx:discord/blah/watt-activation/part-96 - custom
ctx:discord/blah/watt-activation/part-311 - custom
ctx:discord/blah/watt-activation/part-216 - custom
ctx:discord/blah/watt-activation/part-293 - custom
ctx:discord/blah/watt-activation/part-221 - custom
ctx:discord/blah/watt-activation/part-217 - custom
ctx:discord/blah/watt-activation/part-231 - custom
ctx:discord/blah/watt-activation/part-211 ctx:discord/blah/watt-activation/part-463ctx:discord/blah/watt-activation/part-175
See also
- Low Loss
- Val Loss Decrease
- Couplings
- Full Scale Models
- Adam W
- Weight Decay
- From Scratch Training
- Sgd
- Ws
- Symbol Formation
- Optimizer Smoke Test Report
- Optimizer
- Mx Compile
- Monumental Project
- Manifold Geometry
- Weight Norms
- Convergence
- Stiefel Manifold
- Weight Magnitudes
- Spectral Harmonic Structure
- Full Scale
- Lohe Optimizer
- Forward Pass Normalization
- Euclidean Adam
- Python Level Dict Mutations
- Full Model
- Compiled
- Per Neuron Spheres
- S N 1 Intersect Sum Zero
- Dynamical Parameters
- Current Setup
- Sgd Momentum
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