Struct openai_rs_api::core::models::fine_tunes::FineTuneData

pub struct FineTuneData {
    pub id: String,
    pub object: String,
    pub model: String,
    pub created_at: i64,
    pub fine_tuned_model: Option<String>,
    pub hyperparams: FineTuneHyperparams,
    pub organization_id: String,
    pub result_files: Vec<String>,
    pub status: String,
    pub validation_files: Vec<FineTuneFiles>,
    pub training_files: Vec<FineTuneFiles>,
    pub updated_at: i64,
}

Fields

id: String

The ID of the fine-tuned model.

object: String

The object type, which is always “fine_tune”.

model: String

The name of the base model that was fine-tuned.

created_at: i64

The Unix timestamp (in seconds) when the fine-tuned model was created.

fine_tuned_model: Option<String>

The ID of the fine-tuned model that was created.

hyperparams: FineTuneHyperparams

The hyperparameters used for fine-tuning the model.

organization_id: String

The ID of the organization that created the fine-tuned model.

result_files: Vec<String>

A vector of URLs pointing to the result files generated during fine-tuning.

status: String

The status of the fine-tuned model.

validation_files: Vec<FineTuneFiles>

A vector of FineTuneFiles structs representing the validation files used during fine-tuning.

training_files: Vec<FineTuneFiles>

A vector of FineTuneFiles structs representing the training files used during fine-tuning.

updated_at: i64

The Unix timestamp (in seconds) when the fine-tuned model was last updated.

Trait Implementations

impl Debug for FineTuneData

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for FineTuneData

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

Deserialize this value from the given Serde deserializer.

impl Serialize for FineTuneData

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

Serialize this value into the given Serde serializer.