use crate::models;
use serde::{Deserialize, Serialize};
#[derive(Clone, Default, Debug, PartialEq, Serialize, Deserialize, bon::Builder)]
pub struct FineTuningJobHyperparameters {
#[serde(
rename = "batch_size",
default,
with = "::serde_with::rust::double_option",
skip_serializing_if = "Option::is_none"
)]
pub batch_size: Option<Option<Box<models::FineTuningJobHyperparametersBatchSize>>>,
#[serde(
rename = "learning_rate_multiplier",
skip_serializing_if = "Option::is_none"
)]
pub learning_rate_multiplier:
Option<Box<models::CreateFineTuningJobRequestHyperparametersLearningRateMultiplier>>,
#[serde(rename = "n_epochs", skip_serializing_if = "Option::is_none")]
pub n_epochs: Option<Box<models::CreateFineTuningJobRequestHyperparametersNEpochs>>,
}
impl FineTuningJobHyperparameters {
pub fn new() -> FineTuningJobHyperparameters {
FineTuningJobHyperparameters {
batch_size: None,
learning_rate_multiplier: None,
n_epochs: None,
}
}
}
impl std::fmt::Display for FineTuningJobHyperparameters {
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
match serde_json::to_string(self) {
Ok(s) => write!(f, "{}", s),
Err(_) => Err(std::fmt::Error),
}
}
}