Class: OpenAI::Models::FineTuning::DpoMethod

Inherits:

Internal::Type::BaseModel

• Object
• Internal::Type::BaseModel
• OpenAI::Models::FineTuning::DpoMethod

Defined in:

lib/openai/models/fine_tuning/dpo_method.rb

Instance Attribute Summary

• #hyperparameters ⇒ OpenAI::Models::FineTuning::DpoHyperparameters^?

  The hyperparameters used for the DPO fine-tuning job.

Instance Method Summary

• #initialize(hyperparameters: nil) ⇒ Object constructor

  Configuration for the DPO fine-tuning method.

Methods inherited from Internal::Type::BaseModel

==, #==, #[], coerce, #deconstruct_keys, #deep_to_h, dump, fields, hash, #hash, inherited, inspect, #inspect, known_fields, optional, recursively_to_h, required, #to_h, #to_json, #to_s, to_sorbet_type, #to_yaml

Methods included from Internal::Type::Converter

#coerce, coerce, #dump, dump, #inspect, inspect, type_info

Methods included from Internal::Util::SorbetRuntimeSupport

#const_missing, #define_sorbet_constant!, #sorbet_constant_defined?, #to_sorbet_type, to_sorbet_type

Constructor Details

#initialize(hyperparameters: nil) ⇒ Object

Configuration for the DPO fine-tuning method.

Parameters:

• hyperparameters (OpenAI::Models::FineTuning::DpoHyperparameters) (defaults to: nil) —

  The hyperparameters used for the DPO fine-tuning job.

# File 'lib/openai/models/fine_tuning/dpo_method.rb', line 13

Instance Attribute Details

#hyperparameters ⇒ OpenAI::Models::FineTuning::DpoHyperparameters^?

The hyperparameters used for the DPO fine-tuning job.

Returns:

• (OpenAI::Models::FineTuning::DpoHyperparameters, nil)

# File 'lib/openai/models/fine_tuning/dpo_method.rb', line 11

optional :hyperparameters, -> { OpenAI::FineTuning::DpoHyperparameters }