Dontopedia

Grouped4 Training

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Grouped4 Training has 101 facts recorded in Dontopedia across 1 reference.

101 facts·101 predicates·1 sources

Mostly:exhibits loss improvement over iterations(1), has average tokens per second(1), has elapsed time seconds(1)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (1)

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.

reportsTrainingMetricsReports Training Metrics(1)

Other facts (101)

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.

101 facts
PredicateValueRef
Exhibits Loss Improvement Over Iterationstrue[1]
Has Average Tokens Per Second15003[1]
Has Elapsed Time Seconds54.6[1]
Has Embedding Dimension768[1]
Has Final Gpu Active Gb1.01[1]
Has Final Gpu Cache Gb12.49[1]
Has Final Gpu Peak Gb12.52[1]
Has Final Loss3.1058[1]
Has Final Process Rss Gb3.19[1]
Has Gpu Active Gb at Iteration101[1]
Has Gpu Active Gb at Iteration1001[1]
Has Gpu Active Gb at Iteration201[1]
Has Gpu Active Gb at Iteration301[1]
Has Gpu Active Gb at Iteration401[1]
Has Gpu Active Gb at Iteration501[1]
Has Gpu Active Gb at Iteration601[1]
Has Gpu Active Gb at Iteration701[1]
Has Gpu Active Gb at Iteration801[1]
Has Gpu Active Gb at Iteration901[1]
Has Gpu Cache Gb at Iteration1012.5[1]
Has Gpu Cache Gb at Iteration10012.5[1]
Has Gpu Cache Gb at Iteration2012.5[1]
Has Gpu Cache Gb at Iteration3012.5[1]
Has Gpu Cache Gb at Iteration4012.5[1]
Has Gpu Cache Gb at Iteration5012.5[1]
Has Gpu Cache Gb at Iteration6012.5[1]
Has Gpu Cache Gb at Iteration7012.5[1]
Has Gpu Cache Gb at Iteration8012.5[1]
Has Gpu Cache Gb at Iteration9012.5[1]
Has Gpu Peak Gb at Iteration1012.5[1]
Has Gpu Peak Gb at Iteration10012.5[1]
Has Gpu Peak Gb at Iteration2012.5[1]
Has Gpu Peak Gb at Iteration3012.5[1]
Has Gpu Peak Gb at Iteration4012.5[1]
Has Gpu Peak Gb at Iteration5012.5[1]
Has Gpu Peak Gb at Iteration6012.5[1]
Has Gpu Peak Gb at Iteration7012.5[1]
Has Gpu Peak Gb at Iteration8012.5[1]
Has Gpu Peak Gb at Iteration9012.5[1]
Has Higher Average Tokens Per Second ThanGrouped8 Training[1]
Has Learning Rate at Iteration100.0003[1]
Has Learning Rate at Iteration1000.00003[1]
Has Learning Rate at Iteration200.000292[1]
Has Learning Rate at Iteration300.000268[1]
Has Learning Rate at Iteration400.000232[1]
Has Learning Rate at Iteration500.000188[1]
Has Learning Rate at Iteration600.000142[1]
Has Learning Rate at Iteration700.0000975[1]
Has Learning Rate at Iteration800.0000616[1]
Has Learning Rate at Iteration900.0000381[1]
Has Loss at Iteration104.8802[1]
Has Loss at Iteration1003.1058[1]
Has Loss at Iteration203.3704[1]
Has Loss at Iteration303.175[1]
Has Loss at Iteration403.184[1]
Has Loss at Iteration503.1859[1]
Has Loss at Iteration603.1927[1]
Has Loss at Iteration703.179[1]
Has Loss at Iteration803.1503[1]
Has Loss at Iteration903.1571[1]
Has Lower Final Loss ThanGrouped8 Training[1]
Has Lower Peak Gpu Memory ThanGrouped8 Training[1]
Has Num Attention Heads12[1]
Has Num Layers12[1]
Has Process Memory Gb at Iteration103.2[1]
Has Process Memory Gb at Iteration1003.2[1]
Has Process Memory Gb at Iteration203.2[1]
Has Process Memory Gb at Iteration303.2[1]
Has Process Memory Gb at Iteration403.2[1]
Has Process Memory Gb at Iteration503.2[1]
Has Process Memory Gb at Iteration603.2[1]
Has Process Memory Gb at Iteration703.2[1]
Has Process Memory Gb at Iteration803.2[1]
Has Process Memory Gb at Iteration903.2[1]
Has Sequence Length2048[1]
Has Shorter Elapsed Time ThanGrouped8 Training[1]
Has Superior Final LossGrouped8 Training[1]
Has Tokens Per Second at Iteration1015019[1]
Has Tokens Per Second at Iteration10015067[1]
Has Tokens Per Second at Iteration2015176[1]
Has Tokens Per Second at Iteration3015222[1]
Has Tokens Per Second at Iteration4015180[1]
Has Tokens Per Second at Iteration5015128[1]
Has Tokens Per Second at Iteration6015094[1]
Has Tokens Per Second at Iteration7015065[1]
Has Tokens Per Second at Iteration8015067[1]
Has Tokens Per Second at Iteration9015098[1]
Has Total Iterations100[1]
Has Total Parameters86825760[1]
Has Total Tokens Processed819200[1]
Has Training Statuscomplete[1]
Implies Batch Size4[1]
Learning Rate Decreases MonotonicallyLr Schedule[1]
Loaded Num Sequences5000[1]
Loaded Sequence Length2048[1]
Maintains Constant Gpu Active Memory1[1]
Maintains Constant Process Memory3.2[1]
Presupposes Gpu Accelerationtrue[1]
Presupposes No Errors Occurredtrue[1]
Trains ModelHarmonic Gpt[1]

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.

exhibitsLossImprovementOverIterationsblah/watt-activation/part-113
true
hasAverageTokensPerSecondblah/watt-activation/part-113
15003
hasElapsedTimeSecondsblah/watt-activation/part-113
54.6
hasEmbeddingDimensionblah/watt-activation/part-113
768
hasFinalGpuActiveGbblah/watt-activation/part-113
1.01
hasFinalGpuCacheGbblah/watt-activation/part-113
12.49
hasFinalGpuPeakGbblah/watt-activation/part-113
12.52
hasFinalLossblah/watt-activation/part-113
3.1058
hasFinalProcessRssGbblah/watt-activation/part-113
3.19
hasGpuActiveGbAtIteration10blah/watt-activation/part-113
1
hasGpuActiveGbAtIteration100blah/watt-activation/part-113
1
hasGpuActiveGbAtIteration20blah/watt-activation/part-113
1
hasGpuActiveGbAtIteration30blah/watt-activation/part-113
1
hasGpuActiveGbAtIteration40blah/watt-activation/part-113
1
hasGpuActiveGbAtIteration50blah/watt-activation/part-113
1
hasGpuActiveGbAtIteration60blah/watt-activation/part-113
1
hasGpuActiveGbAtIteration70blah/watt-activation/part-113
1
hasGpuActiveGbAtIteration80blah/watt-activation/part-113
1
hasGpuActiveGbAtIteration90blah/watt-activation/part-113
1
hasGpuCacheGbAtIteration10blah/watt-activation/part-113
12.5
hasGpuCacheGbAtIteration100blah/watt-activation/part-113
12.5
hasGpuCacheGbAtIteration20blah/watt-activation/part-113
12.5
hasGpuCacheGbAtIteration30blah/watt-activation/part-113
12.5
hasGpuCacheGbAtIteration40blah/watt-activation/part-113
12.5
hasGpuCacheGbAtIteration50blah/watt-activation/part-113
12.5
hasGpuCacheGbAtIteration60blah/watt-activation/part-113
12.5
hasGpuCacheGbAtIteration70blah/watt-activation/part-113
12.5
hasGpuCacheGbAtIteration80blah/watt-activation/part-113
12.5
hasGpuCacheGbAtIteration90blah/watt-activation/part-113
12.5
hasGpuPeakGbAtIteration10blah/watt-activation/part-113
12.5
hasGpuPeakGbAtIteration100blah/watt-activation/part-113
12.5
hasGpuPeakGbAtIteration20blah/watt-activation/part-113
12.5
hasGpuPeakGbAtIteration30blah/watt-activation/part-113
12.5
hasGpuPeakGbAtIteration40blah/watt-activation/part-113
12.5
hasGpuPeakGbAtIteration50blah/watt-activation/part-113
12.5
hasGpuPeakGbAtIteration60blah/watt-activation/part-113
12.5
hasGpuPeakGbAtIteration70blah/watt-activation/part-113
12.5
hasGpuPeakGbAtIteration80blah/watt-activation/part-113
12.5
hasGpuPeakGbAtIteration90blah/watt-activation/part-113
12.5
hasHigherAverageTokensPerSecondThanblah/watt-activation/part-113
ex:grouped8-training
hasLearningRateAtIteration10blah/watt-activation/part-113
0.0003
hasLearningRateAtIteration100blah/watt-activation/part-113
0.00003
hasLearningRateAtIteration20blah/watt-activation/part-113
0.000292
hasLearningRateAtIteration30blah/watt-activation/part-113
0.000268
hasLearningRateAtIteration40blah/watt-activation/part-113
0.000232
hasLearningRateAtIteration50blah/watt-activation/part-113
0.000188
hasLearningRateAtIteration60blah/watt-activation/part-113
0.000142
hasLearningRateAtIteration70blah/watt-activation/part-113
0.0000975
hasLearningRateAtIteration80blah/watt-activation/part-113
0.0000616
hasLearningRateAtIteration90blah/watt-activation/part-113
0.0000381
hasLossAtIteration10blah/watt-activation/part-113
4.8802
hasLossAtIteration100blah/watt-activation/part-113
3.1058
hasLossAtIteration20blah/watt-activation/part-113
3.3704
hasLossAtIteration30blah/watt-activation/part-113
3.175
hasLossAtIteration40blah/watt-activation/part-113
3.184
hasLossAtIteration50blah/watt-activation/part-113
3.1859
hasLossAtIteration60blah/watt-activation/part-113
3.1927
hasLossAtIteration70blah/watt-activation/part-113
3.179
hasLossAtIteration80blah/watt-activation/part-113
3.1503
hasLossAtIteration90blah/watt-activation/part-113
3.1571
hasLowerFinalLossThanblah/watt-activation/part-113
ex:grouped8-training
hasLowerPeakGpuMemoryThanblah/watt-activation/part-113
ex:grouped8-training
hasNumAttentionHeadsblah/watt-activation/part-113
12
hasNumLayersblah/watt-activation/part-113
12
hasProcessMemoryGbAtIteration10blah/watt-activation/part-113
3.2
hasProcessMemoryGbAtIteration100blah/watt-activation/part-113
3.2
hasProcessMemoryGbAtIteration20blah/watt-activation/part-113
3.2
hasProcessMemoryGbAtIteration30blah/watt-activation/part-113
3.2
hasProcessMemoryGbAtIteration40blah/watt-activation/part-113
3.2
hasProcessMemoryGbAtIteration50blah/watt-activation/part-113
3.2
hasProcessMemoryGbAtIteration60blah/watt-activation/part-113
3.2
hasProcessMemoryGbAtIteration70blah/watt-activation/part-113
3.2
hasProcessMemoryGbAtIteration80blah/watt-activation/part-113
3.2
hasProcessMemoryGbAtIteration90blah/watt-activation/part-113
3.2
hasSequenceLengthblah/watt-activation/part-113
2048
hasShorterElapsedTimeThanblah/watt-activation/part-113
ex:grouped8-training
hasSuperiorFinalLossblah/watt-activation/part-113
ex:grouped8-training
hasTokensPerSecondAtIteration10blah/watt-activation/part-113
15019
hasTokensPerSecondAtIteration100blah/watt-activation/part-113
15067
hasTokensPerSecondAtIteration20blah/watt-activation/part-113
15176
hasTokensPerSecondAtIteration30blah/watt-activation/part-113
15222
hasTokensPerSecondAtIteration40blah/watt-activation/part-113
15180
hasTokensPerSecondAtIteration50blah/watt-activation/part-113
15128
hasTokensPerSecondAtIteration60blah/watt-activation/part-113
15094
hasTokensPerSecondAtIteration70blah/watt-activation/part-113
15065
hasTokensPerSecondAtIteration80blah/watt-activation/part-113
15067
hasTokensPerSecondAtIteration90blah/watt-activation/part-113
15098
hasTotalIterationsblah/watt-activation/part-113
100
hasTotalParametersblah/watt-activation/part-113
86825760
hasTotalTokensProcessedblah/watt-activation/part-113
819200
hasTrainingStatusblah/watt-activation/part-113
complete
impliesBatchSizeblah/watt-activation/part-113
4
learningRateDecreasesMonotonicallyblah/watt-activation/part-113
ex:lr-schedule
loadedNumSequencesblah/watt-activation/part-113
5000
loadedSequenceLengthblah/watt-activation/part-113
2048
maintainsConstantGpuActiveMemoryblah/watt-activation/part-113
1
maintainsConstantProcessMemoryblah/watt-activation/part-113
3.2
presupposesGpuAccelerationblah/watt-activation/part-113
true
presupposesNoErrorsOccurredblah/watt-activation/part-113
true
trainsModelblah/watt-activation/part-113
ex:harmonic-gpt
usesAttentionMechanismblah/watt-activation/part-113
ex:grouped4-attention

References (1)

1 references
  1. [1]Part 113101 facts
    ctx:discord/blah/watt-activation/part-113

See also

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