Struct Hyperparameters 

pub struct Hyperparameters {
    pub training_steps: Option<i32>,
    pub learning_rate: Option<f64>,
    pub weight_decay: Option<f64>,
    pub warmup_fraction: Option<f64>,
    pub epochs: Option<f64>,
    pub seq_len: Option<i32>,
    pub fim_ratio: Option<f64>,
}

Fields

training_steps: Option<i32>

learning_rate: Option<f64>

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.

weight_decay: Option<f64>

warmup_fraction: Option<f64>

epochs: Option<f64>

seq_len: Option<i32>

fim_ratio: Option<f64>

Implementations

impl Hyperparameters

pub fn new() -> Hyperparameters

Trait Implementations

impl Clone for Hyperparameters

fn clone(&self) -> Hyperparameters

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for Hyperparameters

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

Formats the value using the given formatter.

impl Default for Hyperparameters

fn default() -> Hyperparameters

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for Hyperparameters

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for Hyperparameters

fn eq(&self, other: &Hyperparameters) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Serialize for Hyperparameters

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

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for Hyperparameters