Struct TrainingMetrics 

pub struct TrainingMetrics {
    pub train_loss: f64,
    pub val_loss: f64,
    pub accuracy: Option<f64>,
    pub gradient_norm: f64,
    pub learning_rate: f64,
    pub params_updated: usize,
}

Training metrics collected during simulation.

Fields

train_loss: f64

Training loss.

val_loss: f64

Validation loss.

accuracy: Option<f64>

Accuracy (if classification).

gradient_norm: f64

Gradient L2 norm.

learning_rate: f64

Current learning rate (after scheduling).

params_updated: usize

Number of parameters updated.

Trait Implementations

impl Clone for TrainingMetrics

fn clone(&self) -> TrainingMetrics

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for TrainingMetrics

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

Formats the value using the given formatter.

impl Default for TrainingMetrics

fn default() -> Self

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for TrainingMetrics

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for TrainingMetrics

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

where __S: Serializer,

Serialize this value into the given Serde serializer.