Training Loop

Requiresin disputerequires

• Inputs^[1]sourceall time · 3773704e 4ce1 4051 Be2f 36f352957c07
• Labels^[1]sourceall time · 3773704e 4ce1 4051 Be2f 36f352957c07
• Model^[1]sourceall time · 3773704e 4ce1 4051 Be2f 36f352957c07
• Optimizer^[1]sourceall time · 3773704e 4ce1 4051 Be2f 36f352957c07

Contains Variablein disputecontainsVariable

• Log Entry^[1]sourceall time · 3773704e 4ce1 4051 Be2f 36f352957c07
• Optimizer^[1]sourceall time · 3773704e 4ce1 4051 Be2f 36f352957c07

Has Sequencein disputehasSequence

• Batch Iteration^[1]sourceall time · 3773704e 4ce1 4051 Be2f 36f352957c07
• Error Handling Step^[1]sourceall time · 3773704e 4ce1 4051 Be2f 36f352957c07
• Logging Step^[1]sourceall time · 3773704e 4ce1 4051 Be2f 36f352957c07
• Model Initialization^[1]sourceall time · 3773704e 4ce1 4051 Be2f 36f352957c07
• Optimizer Creation^[1]sourceall time · 3773704e 4ce1 4051 Be2f 36f352957c07

Performs Operationin disputeperformsOperation

• Backpropagation^[1]sourceall time · 3773704e 4ce1 4051 Be2f 36f352957c07
• Data Preprocessing^[1]sourceall time · 3773704e 4ce1 4051 Be2f 36f352957c07
• Gradient Accumulation^[1]sourceall time · 3773704e 4ce1 4051 Be2f 36f352957c07

Uses Componentin disputeusesComponent

• Adam Optimizer^[1]sourceall time · 3773704e 4ce1 4051 Be2f 36f352957c07
• Data Loader^[1]sourceall time · 3773704e 4ce1 4051 Be2f 36f352957c07
• Gpu Device^[1]sourceall time · 3773704e 4ce1 4051 Be2f 36f352957c07
• Json Dumps Function^[1]sourceall time · 3773704e 4ce1 4051 Be2f 36f352957c07
• Logging Info Function^[1]sourceall time · 3773704e 4ce1 4051 Be2f 36f352957c07

Has Parameterin disputehasParameter

• Batch Size^[1]sourceall time · 3773704e 4ce1 4051 Be2f 36f352957c07
• Learning Rate^[1]sourceall time · 3773704e 4ce1 4051 Be2f 36f352957c07

Performsin disputeperforms

• Criterion^[2]all time · B424bd38 46a8 4f5b 8589 C66c43eca88e
• Loss.backward^[2]all time · B424bd38 46a8 4f5b 8589 C66c43eca88e
• Model.forward^[2]all time · B424bd38 46a8 4f5b 8589 C66c43eca88e
• Optimizer.step^[2]all time · B424bd38 46a8 4f5b 8589 C66c43eca88e
• Optimizer.zero Grad^[2]all time · B424bd38 46a8 4f5b 8589 C66c43eca88e

Produces OutputproducesOutput

• Log Json String^[1]sourceall time · 3773704e 4ce1 4051 Be2f 36f352957c07

Uses VariableusesVariable

• Device^[1]sourceall time · 3773704e 4ce1 4051 Be2f 36f352957c07

Has ComponenthasComponent

• Log Json Variable^[1]sourceall time · 3773704e 4ce1 4051 Be2f 36f352957c07

Occurs DuringoccursDuring

• Training Process^[1]sourceall time · 3773704e 4ce1 4051 Be2f 36f352957c07

Has Inverse RelationhasInverseRelation

• Data Loader^[1]all time · 3773704e 4ce1 4051 Be2f 36f352957c07

Inbound mentions (3)

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.

Other facts (7)

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.

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.

References (2)

See also

• Log Entry
• Optimizer
• Log Json Variable
• Data Loader
• Batch Size
• Learning Rate
• Mixed Precision Training Section
• Batch Iteration
• Error Handling Step
• Logging Step
• Model Initialization
• Optimizer Creation
• Try Except Block
• Structured Logging
• Dataset
• Mixed Precision Training
• Training Process
• Criterion
• Loss.backward
• Model.forward
• Optimizer.step
• Optimizer.zero Grad
• Backpropagation
• Data Preprocessing
• Gradient Accumulation
• Log Json String
• Loop
• Inputs
• Labels
• Model
• Adam Optimizer
• Gpu Device
• Json Dumps Function
• Logging Info Function
• Device

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