Method: OpenAI::Models::FineTuning::DpoHyperparameters#initialize

Defined in:

lib/openai/models/fine_tuning/dpo_hyperparameters.rb

#initialize(batch_size: nil, beta: nil, learning_rate_multiplier: nil, n_epochs: nil) ⇒ void

Some parameter documentations has been truncated, see OpenAI::Models::FineTuning::DpoHyperparameters for more details.

The hyperparameters used for the DPO fine-tuning job.

Parameters:

• batch_size (Symbol, :auto, Integer) (defaults to: nil) —

  Number of examples in each batch. A larger batch size means that model parameter

• beta (Symbol, :auto, Float) (defaults to: nil) —

  The beta value for the DPO method. A higher beta value will increase the weight

• learning_rate_multiplier (Symbol, :auto, Float) (defaults to: nil) —

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

• n_epochs (Symbol, :auto, Integer) (defaults to: nil) —

  The number of epochs to train the model for. An epoch refers to one full cycle t

# File 'lib/openai/models/fine_tuning/dpo_hyperparameters.rb', line 36