Module: OpenAI::Models::FineTuning::DpoHyperparameters::LearningRateMultiplier

Extended by:

Internal::Type::Union

Defined in:

lib/openai/models/fine_tuning/dpo_hyperparameters.rb,
sig/openai/models/fine_tuning/dpo_hyperparameters.rbs

Overview

Scaling factor for the learning rate. A smaller learning rate may be useful to avoid overfitting.

See Also:

• OpenAI::Models::FineTuning::DpoHyperparameters#learning_rate_multiplier

Instance Method Summary

• #self?.variants ⇒ ::Array[OpenAI::Models::FineTuning::DpoHyperparameters::learning_rate_multiplier]

Methods included from Internal::Type::Union

==, ===, coerce, derefed_variants, dump, hash, inspect, to_sorbet_type, variants, variants

Methods included from Internal::Util::SorbetRuntimeSupport

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

Methods included from Internal::Type::Converter

#coerce, coerce, #dump, dump, #inspect, inspect, meta_info, new_coerce_state, type_info

Instance Method Details

#self?.variants ⇒ ::Array[OpenAI::Models::FineTuning::DpoHyperparameters::learning_rate_multiplier]

Returns:

• (::Array[OpenAI::Models::FineTuning::DpoHyperparameters::learning_rate_multiplier])

# File 'sig/openai/models/fine_tuning/dpo_hyperparameters.rbs', line 72

def self?.variants: -> ::Array[OpenAI::Models::FineTuning::DpoHyperparameters::learning_rate_multiplier]