View Source ExOpenAI.Components.FineTuneReinforcementHyperparameters (ex_openai.ex v2.0.0-beta2)

The hyperparameters used for the reinforcement fine-tuning job.

Fields

  • :batch_size - optional - :auto | integer()
    Number of examples in each batch. A larger batch size means that model parameters are updated less frequently, but with lower variance.
    Default: "auto"

  • :compute_multiplier - optional - :auto | number()
    Multiplier on amount of compute used for exploring search space during training.
    Default: "auto"

  • :eval_interval - optional - :auto | integer()
    The number of training steps between evaluation runs.
    Default: "auto"

  • :eval_samples - optional - :auto | integer()
    Number of evaluation samples to generate per training step.
    Default: "auto"

  • :learning_rate_multiplier - optional - :auto | number()
    Scaling factor for the learning rate. A smaller learning rate may be useful to avoid overfitting.
    Default: "auto"

  • :n_epochs - optional - :auto | integer()
    The number of epochs to train the model for. An epoch refers to one full cycle through the training dataset.
    Default: "auto"

  • :reasoning_effort - optional - :default | :low | :medium | :high
    Level of reasoning effort.
    Allowed values: "default", "low", "medium", "high"
    Default: "default"

Summary

Types

t()

Types

Link to this type

t()

View Source 
@type t() :: %ExOpenAI.Components.FineTuneReinforcementHyperparameters{
  batch_size: (:auto | integer()) | nil,
  compute_multiplier: (:auto | number()) | nil,
  eval_interval: (:auto | integer()) | nil,
  eval_samples: (:auto | integer()) | nil,
  learning_rate_multiplier: (:auto | number()) | nil,
  n_epochs: (:auto | integer()) | nil,
  reasoning_effort: (((:default | :low) | :medium) | :high) | nil
}