Training Arguments

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

Training Arguments has 61 facts recorded in Dontopedia across 5 references, with 6 live disagreements.

61 facts·35 predicates·5 sources·6 in dispute

Mostly:has parameter(15), rdf:type(4), affects(4)

Has Parameterin dispute`hasParameter`

Output Dir^[3]sourceall time · 08d01dee 8025 41e7 Bdd4 Fa05629b996c
Num Train Epochs^[3]sourceall time · 08d01dee 8025 41e7 Bdd4 Fa05629b996c
Per Device Train Batch Size^[3]sourceall time · 08d01dee 8025 41e7 Bdd4 Fa05629b996c
Per Device Eval Batch Size^[3]sourceall time · 08d01dee 8025 41e7 Bdd4 Fa05629b996c
Logging Dir^[3]sourceall time · 08d01dee 8025 41e7 Bdd4 Fa05629b996c
Logging Steps^[3]sourceall time · 08d01dee 8025 41e7 Bdd4 Fa05629b996c
Weight Decay^[3]sourceall time · 08d01dee 8025 41e7 Bdd4 Fa05629b996c
Warmup Steps^[3]sourceall time · 08d01dee 8025 41e7 Bdd4 Fa05629b996c
logging_dir^[4]sourceall time · F1acc8e8 Db39 4556 Bbec 0ee7f29aeac4
Results Directory^[5]sourceall time · 044caebd 7135 4d04 8046 0eaeb9f0641d

Inbound mentions (8)

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.

`hasArgs`Has Args(2)

Trainerex:trainer
Trainerex:trainer

`uses`Uses(2)

Trainerex:trainer
Train Methodex:train-method

`configuredWith`Configured With(1)

Trainerex:trainer

`hasConstructorParameter`Has Constructor Parameter(1)

Trainer Classex:trainer-class

`initializedWith`Initialized With(1)

Trainerex:trainer

`receivesArgument`Receives Argument(1)

Trainerex:trainer

Other facts (45)

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.

45 facts

Predicate	Value	Ref
Rdf:type	Training Arguments	[1]
Rdf:type	Configuration	[2]
Rdf:type	Training Arguments	[3]
Rdf:type	Training Arguments	[4]
Affects	Training Duration	[5]
Affects	Memory Usage	[5]
Affects	Convergence Speed	[5]
Affects	Overfitting Prevention	[5]
Has Logging Dir	'./logs'	[1]
Has Logging Dir	'./logs'	[4]
Has Logging Steps	10	[1]
Has Logging Steps	10	[4]
Has Evaluation Strategy	"steps"	[1]
Has Evaluation Strategy	'epoch'	[4]
Has Save Total Limit	3	[1]
Has Save Total Limit	2	[4]
Has Logging Directory	'./logs'	[4]
Has Logging Directory	Logs Directory	[5]
Has Output Dir	'./results'	[1]
Has Num Train Epochs	3	[1]
Has Per Device Train Batch Size	2	[1]
Per Device Train Batch Size Comment	Smaller batch size for CPU	[1]
Has Per Device Eval Batch Size	2	[1]
Has Warmup Steps	500	[1]
Has Weight Decay	0.01	[1]
Has Eval Steps	500	[1]
Has Save Steps	500	[1]
Has Gradient Accumulation Steps	8	[1]
Gradient Accumulation Comment	Gradient accumulation to simulate larger batch size	[1]
Has Fp16	false	[1]
Fp16 Comment	Mixed precision is less beneficial on CPUs	[1]
Has Dataloader Drop Last	true	[1]
Passed As Argument to	Trainer	[1]
Library	Huggingface Transformers	[1]
Has Logging Configuration	Logging Config	[1]
Passed to	Trainer	[2]
Used by	Trainer	[3]
Configured for	Trainer	[4]
Has Logging Frequency	10	[4]
Has Evaluation Frequency	'epoch'	[4]
Has Save Limit	2	[4]
Is Instance	Training Arguments Class	[5]
Configures	Trainer	[5]
Is Used by	Trainer	[5]
Has Output Directory	Results Directory	[5]

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.

61 undated

—

typebeam/75f58362-300a-4d5c-94a5-4285b391366e

ex:TrainingArguments

—

hasOutputDirbeam/75f58362-300a-4d5c-94a5-4285b391366e

'./results'

—

hasNumTrainEpochsbeam/75f58362-300a-4d5c-94a5-4285b391366e

—

hasPerDeviceTrainBatchSizebeam/75f58362-300a-4d5c-94a5-4285b391366e

—

perDeviceTrainBatchSizeCommentbeam/75f58362-300a-4d5c-94a5-4285b391366e

Smaller batch size for CPU

—

hasPerDeviceEvalBatchSizebeam/75f58362-300a-4d5c-94a5-4285b391366e

—

hasWarmupStepsbeam/75f58362-300a-4d5c-94a5-4285b391366e

500

—

hasWeightDecaybeam/75f58362-300a-4d5c-94a5-4285b391366e

0.01

—

hasLoggingDirbeam/75f58362-300a-4d5c-94a5-4285b391366e

'./logs'

—

hasLoggingStepsbeam/75f58362-300a-4d5c-94a5-4285b391366e

—

hasEvaluationStrategybeam/75f58362-300a-4d5c-94a5-4285b391366e

"steps"

—

hasEvalStepsbeam/75f58362-300a-4d5c-94a5-4285b391366e

500

—

hasSaveTotalLimitbeam/75f58362-300a-4d5c-94a5-4285b391366e

—

hasSaveStepsbeam/75f58362-300a-4d5c-94a5-4285b391366e

500

—

hasGradientAccumulationStepsbeam/75f58362-300a-4d5c-94a5-4285b391366e

—

gradientAccumulationCommentbeam/75f58362-300a-4d5c-94a5-4285b391366e

Gradient accumulation to simulate larger batch size

—

hasFp16beam/75f58362-300a-4d5c-94a5-4285b391366e

false

—

fp16Commentbeam/75f58362-300a-4d5c-94a5-4285b391366e

Mixed precision is less beneficial on CPUs

—

hasDataloaderDropLastbeam/75f58362-300a-4d5c-94a5-4285b391366e

true

—

passedAsArgumentTobeam/75f58362-300a-4d5c-94a5-4285b391366e

ex:trainer

—

librarybeam/75f58362-300a-4d5c-94a5-4285b391366e

ex:huggingface-transformers

—

hasLoggingConfigurationbeam/75f58362-300a-4d5c-94a5-4285b391366e

ex:logging-config

—

typebeam/88c90684-e902-4bc6-a2dd-f749dde78552

ex:Configuration

—

passedTobeam/88c90684-e902-4bc6-a2dd-f749dde78552

ex:trainer

—

typebeam/08d01dee-8025-41e7-bdd4-fa05629b996c

ex:TrainingArguments

—