Struct TrainingReport 

pub struct TrainingReport {

    pub variant: ModelVariant,
    pub config: DdlConfig,
    pub training: TrainingConfig,
    pub num_params: usize,
    pub train_dataset: TokenDatasetSummary,
    pub validation_dataset: Option<TokenDatasetSummary>,
    pub steps_completed: usize,
    pub initial_train: CausalLmMetrics,
    pub initial_validation: Option<CausalLmMetrics>,
    pub final_train: CausalLmMetrics,
    pub final_validation: Option<CausalLmMetrics>,
    pub best_validation: Option<CausalLmMetrics>,
    pub initial_train_spectral: Option<TrainingSpectralSnapshot>,
    pub initial_validation_spectral: Option<TrainingSpectralSnapshot>,
    pub final_train_spectral: Option<TrainingSpectralSnapshot>,
    pub final_validation_spectral: Option<TrainingSpectralSnapshot>,
    pub best_validation_spectral: Option<TrainingSpectralSnapshot>,
    pub best_validation_step: Option<usize>,
    pub history: Vec<TrainingStepMetrics>,
}

Fields

variant: ModelVariant

config: DdlConfig

training: TrainingConfig

num_params: usize

train_dataset: TokenDatasetSummary

validation_dataset: Option<TokenDatasetSummary>

steps_completed: usize

initial_train: CausalLmMetrics

initial_validation: Option<CausalLmMetrics>

final_train: CausalLmMetrics

final_validation: Option<CausalLmMetrics>

best_validation: Option<CausalLmMetrics>

initial_train_spectral: Option<TrainingSpectralSnapshot>

initial_validation_spectral: Option<TrainingSpectralSnapshot>

final_train_spectral: Option<TrainingSpectralSnapshot>

final_validation_spectral: Option<TrainingSpectralSnapshot>

best_validation_spectral: Option<TrainingSpectralSnapshot>

best_validation_step: Option<usize>

history: Vec<TrainingStepMetrics>

Trait Implementations

impl Clone for TrainingReport

fn clone(&self) -> TrainingReport

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for TrainingReport

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for TrainingReport

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for TrainingReport

fn eq(&self, other: &TrainingReport) -> 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 TrainingReport

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 TrainingReport