mistral_openapi_client/models/
hyperparameters.rs

1/*
2 * Mistral AI API
3 *
4 * Our Chat Completion and Embeddings APIs specification. Create your account on [La Plateforme](https://console.mistral.ai) to get access and read the [docs](https://docs.mistral.ai) to learn how to use it.
5 *
6 * The version of the OpenAPI document: 1.0.0
7 * 
8 * Generated by: https://openapi-generator.tech
9 */
10
11use crate::models;
12use serde::{Deserialize, Serialize};
13
14#[derive(Clone, Default, Debug, PartialEq, Serialize, Deserialize)]
15pub struct Hyperparameters {
16    #[serde(rename = "training_steps", skip_serializing_if = "Option::is_none")]
17    pub training_steps: Option<i32>,
18    /// A parameter describing how much to adjust the pre-trained model's weights in response to the estimated error each time the weights are updated during the fine-tuning process.
19    #[serde(rename = "learning_rate", skip_serializing_if = "Option::is_none")]
20    pub learning_rate: Option<f64>,
21    #[serde(rename = "weight_decay", skip_serializing_if = "Option::is_none")]
22    pub weight_decay: Option<f64>,
23    #[serde(rename = "warmup_fraction", skip_serializing_if = "Option::is_none")]
24    pub warmup_fraction: Option<f64>,
25    #[serde(rename = "epochs", skip_serializing_if = "Option::is_none")]
26    pub epochs: Option<f64>,
27    #[serde(rename = "seq_len", skip_serializing_if = "Option::is_none")]
28    pub seq_len: Option<i32>,
29    #[serde(rename = "fim_ratio", skip_serializing_if = "Option::is_none")]
30    pub fim_ratio: Option<f64>,
31}
32
33impl Hyperparameters {
34    pub fn new() -> Hyperparameters {
35        Hyperparameters {
36            training_steps: None,
37            learning_rate: None,
38            weight_decay: None,
39            warmup_fraction: None,
40            epochs: None,
41            seq_len: None,
42            fim_ratio: None,
43        }
44    }
45}
46
mistral_openapi_client/models/hyperparameters.rs

mistral_openapi_client/models/
hyperparameters.rs
