Struct TrainingState 

pub struct TrainingState {
    pub epoch: usize,
    pub step: usize,
    pub global_step: usize,
    pub best_metric: Option<f32>,
    pub best_metric_name: Option<String>,
    pub loss_history: Vec<f32>,
    pub val_loss_history: Vec<f32>,
    pub lr_history: Vec<f32>,
    pub custom_metrics: HashMap<String, Vec<f32>>,
}

Training state for checkpointing.

Fields

epoch: usize

Current epoch.

step: usize

Current step within epoch.

global_step: usize

Global step count.

best_metric: Option<f32>

Best metric value seen so far.

best_metric_name: Option<String>

Name of the best metric.

loss_history: Vec<f32>

Training loss history (last N values).

val_loss_history: Vec<f32>

Validation loss history.

lr_history: Vec<f32>

Learning rate history.

custom_metrics: HashMap<String, Vec<f32>>

Custom metrics.

Implementations

impl TrainingState

pub fn new() -> Self

Create a new training state.

pub fn record_loss(&mut self, loss: f32)

Record a training loss value.

pub fn record_val_loss(&mut self, loss: f32)

Record a validation loss value.

pub fn record_lr(&mut self, lr: f32)

Record learning rate.

pub fn record_metric(&mut self, name: &str, value: f32)

Record a custom metric.

pub fn update_best( &mut self, name: &str, value: f32, higher_is_better: bool, ) -> bool

Update best metric if improved.

pub fn avg_loss(&self, n: usize) -> Option<f32>

Get the average loss over recent values.

pub fn next_epoch(&mut self)

Increment epoch.

pub fn next_step(&mut self)

Increment step.

Trait Implementations

impl Clone for TrainingState

fn clone(&self) -> TrainingState

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for TrainingState

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

Formats the value using the given formatter.

impl Default for TrainingState

fn default() -> TrainingState

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for TrainingState

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for TrainingState

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

where __S: Serializer,

Serialize this value into the given Serde serializer.