Grouped8 Training

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Grouped8 Training has 96 facts recorded in Dontopedia across 1 reference.

96 facts·96 predicates·1 sources

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

Inbound mentions (6)

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.

`hasHigherAverageTokensPerSecondThan`Has Higher Average Tokens Per Second Than(1)

Grouped4 Trainingex:grouped4-training

`hasLowerFinalLossThan`Has Lower Final Loss Than(1)

Grouped4 Trainingex:grouped4-training

`hasLowerPeakGpuMemoryThan`Has Lower Peak Gpu Memory Than(1)

Grouped4 Trainingex:grouped4-training

`hasShorterElapsedTimeThan`Has Shorter Elapsed Time Than(1)

Grouped4 Trainingex:grouped4-training

`hasSuperiorFinalLoss`Has Superior Final Loss(1)

Grouped4 Trainingex:grouped4-training

`reportsTrainingMetrics`Reports Training Metrics(1)

Grouped8 Training Logex:grouped8-training-log

Other facts (96)

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.

96 facts

Predicate	Value	Ref
Exhibits Loss Improvement Over Iterations	true	[1]
Has Average Tokens Per Second	14843	[1]
Has Elapsed Time Seconds	55.2	[1]
Has Embedding Dimension	768	[1]
Has Final Gpu Active Gb	1.01	[1]
Has Final Gpu Cache Gb	13.89	[1]
Has Final Gpu Peak Gb	13.8	[1]
Has Final Loss	3.1748	[1]
Has Final Process Rss Gb	3.19	[1]
Has Gpu Active Gb at Iteration10	1	[1]
Has Gpu Active Gb at Iteration100	1	[1]
Has Gpu Active Gb at Iteration20	1	[1]
Has Gpu Active Gb at Iteration30	1	[1]
Has Gpu Active Gb at Iteration40	1	[1]
Has Gpu Active Gb at Iteration50	1	[1]
Has Gpu Active Gb at Iteration60	1	[1]
Has Gpu Active Gb at Iteration70	1	[1]
Has Gpu Active Gb at Iteration80	1	[1]
Has Gpu Active Gb at Iteration90	1	[1]
Has Gpu Cache Gb at Iteration10	13.9	[1]
Has Gpu Cache Gb at Iteration100	13.9	[1]
Has Gpu Cache Gb at Iteration20	13.9	[1]
Has Gpu Cache Gb at Iteration30	13.9	[1]
Has Gpu Cache Gb at Iteration40	13.9	[1]
Has Gpu Cache Gb at Iteration50	13.9	[1]
Has Gpu Cache Gb at Iteration60	13.9	[1]
Has Gpu Cache Gb at Iteration70	13.9	[1]
Has Gpu Cache Gb at Iteration80	13.9	[1]
Has Gpu Cache Gb at Iteration90	13.9	[1]
Has Gpu Peak Gb at Iteration10	13.8	[1]
Has Gpu Peak Gb at Iteration100	13.8	[1]
Has Gpu Peak Gb at Iteration20	13.8	[1]
Has Gpu Peak Gb at Iteration30	13.8	[1]
Has Gpu Peak Gb at Iteration40	13.8	[1]
Has Gpu Peak Gb at Iteration50	13.8	[1]
Has Gpu Peak Gb at Iteration60	13.8	[1]
Has Gpu Peak Gb at Iteration70	13.8	[1]
Has Gpu Peak Gb at Iteration80	13.8	[1]
Has Gpu Peak Gb at Iteration90	13.8	[1]
Has Learning Rate at Iteration10	0.0003	[1]
Has Learning Rate at Iteration100	0.00003	[1]
Has Learning Rate at Iteration20	0.000292	[1]
Has Learning Rate at Iteration30	0.000268	[1]
Has Learning Rate at Iteration40	0.000232	[1]
Has Learning Rate at Iteration50	0.000188	[1]
Has Learning Rate at Iteration60	0.000142	[1]
Has Learning Rate at Iteration70	0.0000975	[1]
Has Learning Rate at Iteration80	0.0000616	[1]
Has Learning Rate at Iteration90	0.0000381	[1]
Has Loss at Iteration10	5.4534	[1]
Has Loss at Iteration100	3.1748	[1]
Has Loss at Iteration20	3.4855	[1]
Has Loss at Iteration30	3.2427	[1]
Has Loss at Iteration40	3.1861	[1]
Has Loss at Iteration50	3.2137	[1]
Has Loss at Iteration60	3.1662	[1]
Has Loss at Iteration70	3.1987	[1]
Has Loss at Iteration80	3.1741	[1]
Has Loss at Iteration90	3.1944	[1]
Has Num Attention Heads	12	[1]
Has Num Layers	12	[1]
Has Process Memory Gb at Iteration10	3.2	[1]
Has Process Memory Gb at Iteration100	3.2	[1]
Has Process Memory Gb at Iteration20	3.2	[1]
Has Process Memory Gb at Iteration30	3.2	[1]
Has Process Memory Gb at Iteration40	3.2	[1]
Has Process Memory Gb at Iteration50	3.2	[1]
Has Process Memory Gb at Iteration60	3.2	[1]
Has Process Memory Gb at Iteration70	3.2	[1]
Has Process Memory Gb at Iteration80	3.2	[1]
Has Process Memory Gb at Iteration90	3.2	[1]
Has Sequence Length	2048	[1]
Has Tokens Per Second at Iteration10	14711	[1]
Has Tokens Per Second at Iteration100	14899	[1]
Has Tokens Per Second at Iteration20	14824	[1]
Has Tokens Per Second at Iteration30	14861	[1]
Has Tokens Per Second at Iteration40	14879	[1]
Has Tokens Per Second at Iteration50	14891	[1]
Has Tokens Per Second at Iteration60	14898	[1]
Has Tokens Per Second at Iteration70	14904	[1]
Has Tokens Per Second at Iteration80	14905	[1]
Has Tokens Per Second at Iteration90	14903	[1]
Has Total Iterations	100	[1]
Has Total Parameters	86825760	[1]
Has Total Tokens Processed	819200	[1]
Has Training Status	complete	[1]
Implies Batch Size	4	[1]
Learning Rate Decreases Monotonically	Lr Schedule	[1]
Loaded Num Sequences	5000	[1]
Loaded Sequence Length	2048	[1]
Maintains Constant Gpu Active Memory	1	[1]
Maintains Constant Process Memory	3.2	[1]
Presupposes Gpu Acceleration	true	[1]
Presupposes No Errors Occurred	true	[1]
Trains Model	Harmonic Gpt	[1]
Uses Attention Mechanism	Grouped8 Attention	[1]

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.

96 undated

—

exhibitsLossImprovementOverIterationsblah/watt-activation/part-113

true

—

hasAverageTokensPerSecondblah/watt-activation/part-113

14843

—

hasElapsedTimeSecondsblah/watt-activation/part-113

55.2

—

hasEmbeddingDimensionblah/watt-activation/part-113

768

—

hasFinalGpuActiveGbblah/watt-activation/part-113

1.01

—

hasFinalGpuCacheGbblah/watt-activation/part-113

13.89

—

hasFinalGpuPeakGbblah/watt-activation/part-113

13.8

—

hasFinalLossblah/watt-activation/part-113

3.1748

—

hasFinalProcessRssGbblah/watt-activation/part-113

3.19

—

hasGpuActiveGbAtIteration10blah/watt-activation/part-113

—

hasGpuActiveGbAtIteration100blah/watt-activation/part-113

—

hasGpuActiveGbAtIteration20blah/watt-activation/part-113

—

hasGpuActiveGbAtIteration30blah/watt-activation/part-113

—

hasGpuActiveGbAtIteration40blah/watt-activation/part-113

—

hasGpuActiveGbAtIteration50blah/watt-activation/part-113

—

hasGpuActiveGbAtIteration60blah/watt-activation/part-113

—

hasGpuActiveGbAtIteration70blah/watt-activation/part-113

—

hasGpuActiveGbAtIteration80blah/watt-activation/part-113

—

hasGpuActiveGbAtIteration90blah/watt-activation/part-113

—

hasGpuCacheGbAtIteration10blah/watt-activation/part-113

13.9

—

hasGpuCacheGbAtIteration100blah/watt-activation/part-113

13.9

—

hasGpuCacheGbAtIteration20blah/watt-activation/part-113

13.9

—

hasGpuCacheGbAtIteration30blah/watt-activation/part-113

13.9

—

hasGpuCacheGbAtIteration40blah/watt-activation/part-113

13.9

—

hasGpuCacheGbAtIteration50blah/watt-activation/part-113

13.9

—

hasGpuCacheGbAtIteration60blah/watt-activation/part-113

13.9

—

hasGpuCacheGbAtIteration70blah/watt-activation/part-113

13.9

—

hasGpuCacheGbAtIteration80blah/watt-activation/part-113

13.9

—

hasGpuCacheGbAtIteration90blah/watt-activation/part-113

13.9

—

hasGpuPeakGbAtIteration10blah/watt-activation/part-113

13.8

—

hasGpuPeakGbAtIteration100blah/watt-activation/part-113

13.8

—

hasGpuPeakGbAtIteration20blah/watt-activation/part-113

13.8

—

hasGpuPeakGbAtIteration30blah/watt-activation/part-113

13.8

—

hasGpuPeakGbAtIteration40blah/watt-activation/part-113

13.8

—

hasGpuPeakGbAtIteration50blah/watt-activation/part-113

13.8

—

hasGpuPeakGbAtIteration60blah/watt-activation/part-113

13.8

—

hasGpuPeakGbAtIteration70blah/watt-activation/part-113

13.8

—

hasGpuPeakGbAtIteration80blah/watt-activation/part-113

13.8

—

hasGpuPeakGbAtIteration90blah/watt-activation/part-113

13.8

—

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

5.4534

—

hasLossAtIteration100blah/watt-activation/part-113

3.1748

—

hasLossAtIteration20blah/watt-activation/part-113

3.4855

—

hasLossAtIteration30blah/watt-activation/part-113

3.2427

—

hasLossAtIteration40blah/watt-activation/part-113

3.1861

—

hasLossAtIteration50blah/watt-activation/part-113

3.2137

—

hasLossAtIteration60blah/watt-activation/part-113

3.1662

—

hasLossAtIteration70blah/watt-activation/part-113

3.1987

—

hasLossAtIteration80blah/watt-activation/part-113

3.1741

—

hasLossAtIteration90blah/watt-activation/part-113

3.1944

—

hasNumAttentionHeadsblah/watt-activation/part-113

—

hasNumLayersblah/watt-activation/part-113

—

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

—

hasTokensPerSecondAtIteration10blah/watt-activation/part-113

14711

—

hasTokensPerSecondAtIteration100blah/watt-activation/part-113

14899

—

hasTokensPerSecondAtIteration20blah/watt-activation/part-113

14824

—

hasTokensPerSecondAtIteration30blah/watt-activation/part-113

14861

—

hasTokensPerSecondAtIteration40blah/watt-activation/part-113

14879

—

hasTokensPerSecondAtIteration50blah/watt-activation/part-113

14891

—

hasTokensPerSecondAtIteration60blah/watt-activation/part-113

14898

—

hasTokensPerSecondAtIteration70blah/watt-activation/part-113

14904

—

hasTokensPerSecondAtIteration80blah/watt-activation/part-113

14905

—

hasTokensPerSecondAtIteration90blah/watt-activation/part-113

14903

—

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

—

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

—

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:grouped8-attention

References (1)

1 references

[1]Part 11396 facts
ctx:discord/blah/watt-activation/part-113

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Grouped8 Training

Inbound mentions (6)

hasHigherAverageTokensPerSecondThanHas Higher Average Tokens Per Second Than(1)

hasLowerFinalLossThanHas Lower Final Loss Than(1)

hasLowerPeakGpuMemoryThanHas Lower Peak Gpu Memory Than(1)

hasShorterElapsedTimeThanHas Shorter Elapsed Time Than(1)

hasSuperiorFinalLossHas Superior Final Loss(1)

reportsTrainingMetricsReports Training Metrics(1)

Other facts (96)

Timeline

References (1)

See also

Keep researching

`hasHigherAverageTokensPerSecondThan`Has Higher Average Tokens Per Second Than(1)

`hasLowerFinalLossThan`Has Lower Final Loss Than(1)

`hasLowerPeakGpuMemoryThan`Has Lower Peak Gpu Memory Than(1)

`hasShorterElapsedTimeThan`Has Shorter Elapsed Time Than(1)

`hasSuperiorFinalLoss`Has Superior Final Loss(1)

`reportsTrainingMetrics`Reports Training Metrics(1)