Training Configuration

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From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)

Training Configuration has 51 facts recorded in Dontopedia across 9 references, with 8 live disagreements.

51 facts·31 predicates·9 sources·8 in dispute

Mostly:has component(7), specifies(5), rdf:type(4)

Inbound mentions (9)

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.

`category`Category(1)

Optimizer Selectionex:optimizer-selection

`contains`Contains(1)

Code Exampleex:code-example

`describes`Describes(1)

Model Trainingex:model-training

`passedTo`Passed to(1)

Tokenizerex:tokenizer

`phase`Phase(1)

ML Pipelineex:ml-pipeline

`purpose`Purpose(1)

Training Argumentsex:TrainingArguments

`rdf:type`Rdf:type(1)

Example Configurationex:example-configuration

`usedIn`Used in(1)

Tokenizerex:tokenizer

`uses`Uses(1)

Training Executionex:training-execution

Other facts (51)

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.

51 facts

Predicate	Value	Ref
Has Component	Model	[4]
Has Component	Tokenizer	[4]
Has Component	Dropout	[4]
Has Component	Dataset	[4]
Has Component	Data Loader	[4]
Has Component	Optimizer	[4]
Has Component	Scheduler	[4]
Specifies	Evaluation Strategy	[7]
Specifies	Saving Strategy	[7]
Specifies	Model Selection	[7]
Specifies	Evaluation Metric	[7]
Specifies	training-dataset	[8]
Rdf:type	Training Setup	[4]
Rdf:type	Machine Learning Configuration	[7]
Rdf:type	Trainer Configuration	[8]
Rdf:type	Parameters	[9]
Overhead Components	Model Parameters	[2]
Overhead Components	Gradients	[2]
Overhead Components	Optimizer State	[2]
Requires	Train Dataset	[8]
Requires	Tokenizer	[8]
Requires	Data Collator	[8]
Uses Optimizer	adam	[1]
Uses Optimizer	Adam Optimizer	[5]
Includes	Number of Epochs	[3]
Includes	Dataloader Configuration	[3]
Learning Rate	1e-5	[5]
Learning Rate	0.001	[6]
Has Early Stop Criterion	plateau (window=500, min_delta=0.001000 relative, patience=10, min_iters=12000)	[1]
Has Iterations	50000	[1]
Has Batch Size	1	[1]
Has Best Checkpoint Save Interval	100	[1]
Has Compiled Step	on	[1]
Resets Optimizer State on Resume	True	[1]
Has Training Sequences	332989	[1]
Has Sequence Length	256	[1]
Has Sample Continuity	strict (checkpointed iterator state)	[1]
Has Log Interval	100	[1]
Has Learning Rate	0.0001	[1]
Has Data Shuffle Seed	1772837610	[1]
Memory Usage Linear With Total Tokens	true	[2]
Memory Cost Per Token	10	[2]
Memory Cost Unit	Megabyte	[2]
Fixed Memory Overhead	1.7	[2]
Loss Function	Cosine Similarity Loss	[5]
Number of Epochs	5	[5]
Uses Mse Loss	true	[6]
Uses Adam Optimizer	true	[6]
Has Parameter	train_dataset	[8]
Passed to	Trainer	[8]
Configures	Training Loop	[9]

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.

51 undated

—

hasEarlyStopCriterionblah/watt-activation/part-33

plateau (window=500, min_delta=0.001000 relative, patience=10, min_iters=12000)

—

hasIterationsblah/watt-activation/part-33

50000

—

hasBatchSizeblah/watt-activation/part-33

—

hasBestCheckpointSaveIntervalblah/watt-activation/part-33

100

—

hasCompiledStepblah/watt-activation/part-33

—

usesOptimizerblah/watt-activation/part-33

adam

—

resetsOptimizerStateOnResumeblah/watt-activation/part-33

ex:true

—

hasTrainingSequencesblah/watt-activation/part-33

332989

—

hasSequenceLengthblah/watt-activation/part-33

256

—

hasSampleContinuityblah/watt-activation/part-33

strict (checkpointed iterator state)

—

hasLogIntervalblah/watt-activation/part-33

100

—

hasLearningRateblah/watt-activation/part-33

0.0001

—

hasDataShuffleSeedblah/watt-activation/part-33

1772837610

—

memoryUsageLinearWithTotalTokensblah/watt-activation/126

true

—

memoryCostPerTokenblah/watt-activation/126

—

memoryCostUnitblah/watt-activation/126

ex:megabyte

—

fixedMemoryOverheadblah/watt-activation/126

1.7

—

overheadComponentsblah/watt-activation/126

ex:model-parameters

—

overheadComponentsblah/watt-activation/126

ex:gradients

—

overheadComponentsblah/watt-activation/126

ex:optimizer-state

—

includesbeam/9dc04f5c-41c0-4f03-9508-0f47a466d19e

ex:number-of-epochs

—

includesbeam/9dc04f5c-41c0-4f03-9508-0f47a466d19e

ex:dataloader-configuration

—

typebeam/503d566f-4b98-4b5e-a567-8579fbcf1e30

ex:TrainingSetup

—