pub struct FineTuningJob {Show 19 fields
pub created_at: i32,
pub error: FineTuningJobError,
pub estimated_finish: Option<i32>,
pub fine_tuned_model: String,
pub finished_at: i32,
pub hyperparameters: FineTuningJobHyperparameters,
pub id: String,
pub integrations: Option<Vec<Value>>,
pub metadata: Option<Metadata>,
pub method: Option<FineTuneMethod>,
pub model: String,
pub object: String,
pub organization_id: String,
pub result_files: Vec<String>,
pub seed: i32,
pub status: String,
pub trained_tokens: i32,
pub training_file: String,
pub validation_file: String,
}Fields§
§created_at: i32The Unix timestamp (in seconds) for when the fine-tuning job was created.
error: FineTuningJobError§estimated_finish: Option<i32>The Unix timestamp (in seconds) for when the fine-tuning job is estimated to finish. The value will be null if the fine-tuning job is not running.
fine_tuned_model: StringThe name of the fine-tuned model that is being created. The value will be null if the fine-tuning job is still running.
finished_at: i32The Unix timestamp (in seconds) for when the fine-tuning job was finished. The value will be null if the fine-tuning job is still running.
hyperparameters: FineTuningJobHyperparameters§id: StringThe object identifier, which can be referenced in the API endpoints.
integrations: Option<Vec<Value>>A list of integrations to enable for this fine-tuning job.
metadata: Option<Metadata>§method: Option<FineTuneMethod>§model: StringThe base model that is being fine-tuned.
object: StringThe object type, which is always "fine_tuning.job".
organization_id: StringThe organization that owns the fine-tuning job.
result_files: Vec<String>The compiled results file ID(s) for the fine-tuning job. You can retrieve the results with the Files API.
seed: i32The seed used for the fine-tuning job.
status: StringThe current status of the fine-tuning job, which can be either validating_files, queued, running, succeeded, failed, or cancelled.
trained_tokens: i32The total number of billable tokens processed by this fine-tuning job. The value will be null if the fine-tuning job is still running.
training_file: StringThe file ID used for training. You can retrieve the training data with the Files API.
validation_file: StringThe file ID used for validation. You can retrieve the validation results with the Files API.