openai_struct/models/
fine_tuning_job.rs

1/*
2 * OpenAI API
3 *
4 * The OpenAI REST API. Please see pub https://platform.openai.com/docs/api-reference for more details.
5 *
6 * OpenAPI spec pub version: 2.3.0
7 *
8 * Generated pub by: https://github.com/swagger-api/swagger-codegen.git
9 */
10
11/// pub FineTuningJob : The `fine_tuning.job` object represents a fine-tuning job that has been created through the API.
12
13#[allow(unused_imports)]
14use serde_json::Value;
15
16#[derive(Debug, Serialize, Deserialize)]
17pub struct FineTuningJob {
18    /// The Unix timestamp (in seconds) for when the fine-tuning job was created.
19    #[serde(rename = "created_at")]
20    pub created_at: i32,
21    #[serde(rename = "error")]
22    pub error: crate::models::FineTuningJobError,
23    /// 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.
24    #[serde(rename = "estimated_finish")]
25    pub estimated_finish: Option<i32>,
26    /// The name of the fine-tuned model that is being created. The value will be null if the fine-tuning job is still running.
27    #[serde(rename = "fine_tuned_model")]
28    pub fine_tuned_model: String,
29    /// The 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.
30    #[serde(rename = "finished_at")]
31    pub finished_at: i32,
32    #[serde(rename = "hyperparameters")]
33    pub hyperparameters: crate::models::FineTuningJobHyperparameters,
34    /// The object identifier, which can be referenced in the API endpoints.
35    #[serde(rename = "id")]
36    pub id: String,
37    /// A list of integrations to enable for this fine-tuning job.
38    #[serde(rename = "integrations")]
39    pub integrations: Option<Vec<Value>>,
40    #[serde(rename = "metadata")]
41    pub metadata: Option<crate::models::Metadata>,
42    #[serde(rename = "method")]
43    pub method: Option<crate::models::FineTuneMethod>,
44    /// The base model that is being fine-tuned.
45    #[serde(rename = "model")]
46    pub model: String,
47    /// The object type, which is always \"fine_tuning.job\".
48    #[serde(rename = "object")]
49    pub object: String,
50    /// The organization that owns the fine-tuning job.
51    #[serde(rename = "organization_id")]
52    pub organization_id: String,
53    /// The compiled results file ID(s) for the fine-tuning job. You can retrieve the results with the [Files API](/docs/api-reference/files/retrieve-contents).
54    #[serde(rename = "result_files")]
55    pub result_files: Vec<String>,
56    /// The seed used for the fine-tuning job.
57    #[serde(rename = "seed")]
58    pub seed: i32,
59    /// The current status of the fine-tuning job, which can be either `validating_files`, `queued`, `running`, `succeeded`, `failed`, or `cancelled`.
60    #[serde(rename = "status")]
61    pub status: String,
62    /// The total number of billable tokens processed by this fine-tuning job. The value will be null if the fine-tuning job is still running.
63    #[serde(rename = "trained_tokens")]
64    pub trained_tokens: i32,
65    /// The file ID used for training. You can retrieve the training data with the [Files API](/docs/api-reference/files/retrieve-contents).
66    #[serde(rename = "training_file")]
67    pub training_file: String,
68    /// The file ID used for validation. You can retrieve the validation results with the [Files API](/docs/api-reference/files/retrieve-contents).
69    #[serde(rename = "validation_file")]
70    pub validation_file: String,
71}
openai_struct/models/fine_tuning_job.rs

openai_struct/models/
fine_tuning_job.rs
