Struct openai_rs_api::core::models::fine_tunes::FineTuneHyperparams

pub struct FineTuneHyperparams {
    pub batch_size: u32,
    pub epochs: u32,
    pub learning_rate_multiplier: f32,
    pub prompt_loss_weight: f32,
}

A struct representing the hyperparameters used for fine-tuning a model.

Fields

batch_size: u32

The batch size used during fine-tuning.

epochs: u32

The number of epochs used during fine-tuning.

learning_rate_multiplier: f32

A multiplier applied to the learning rate during fine-tuning.

prompt_loss_weight: f32

The weight given to the prompt loss during fine-tuning.

Trait Implementations

impl Debug for FineTuneHyperparams

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for FineTuneHyperparams

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for FineTuneHyperparams

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>where __S: Serializer,

Serialize this value into the given Serde serializer.