OpenAIFineTuneHyperParamsModel class final
This class is used to represent the hyper-parameters used for fine-tuning.
- Annotations
-
- @immutable
Constructors
- OpenAIFineTuneHyperParamsModel({required int? batchSize, required double? learningRateMultiplier, required int? nEpochs, required double? promptLossWeight})
-
This class is used to represent the hyper-parameters used for fine-tuning.
const
-
OpenAIFineTuneHyperParamsModel.fromMap(Map<
String, dynamic> json) -
This method is used to convert a Map<String, dynamic> object to a OpenAIFineTuneHyperParamsModel object.
factory
Properties
- batchSize → int?
-
The batch size used for fine-tuning.
final
- hashCode → int
-
The hash code for this object.
no setteroverride
- haveBatchSize → bool
-
Weither the hyper-parameters have a batch size.
no setter
- haveLearningRateMultiplier → bool
-
Weither the hyper-parameters have a learning rate multiplier.
no setter
- haveNEpochs → bool
-
Weither the hyper-parameters have a number of epochs.
no setter
- havePromptLossWeight → bool
-
Weither the hyper-parameters have a prompt loss weight.
no setter
- learningRateMultiplier → double?
-
The learning rate multiplier used for fine-tuning.
final
- nEpochs → int?
-
The number of epochs used for fine-tuning.
final
- promptLossWeight → double?
-
The prompt loss weight used for fine-tuning.
final
- runtimeType → Type
-
A representation of the runtime type of the object.
no setterinherited
Methods
-
noSuchMethod(
Invocation invocation) → dynamic -
Invoked when a nonexistent method or property is accessed.
inherited
-
toString(
) → String -
A string representation of this object.
override
Operators
-
operator ==(
covariant OpenAIFineTuneHyperParamsModel other) → bool -
The equality operator.
override