Struct TrainingConfig 

pub struct TrainingConfig {

    pub learning_rate: f64,
    pub weight_decay: f64,
    pub beta1: f64,
    pub beta2: f64,
    pub grad_clip: f64,
    pub batch_size: usize,
    pub epochs: usize,
    pub warmup_steps: usize,
    pub save_every: usize,
    pub eval_every: usize,
    pub log_every: usize,
    pub seq_len: usize,
    pub gradient_accumulation_steps: usize,
}

Fields

learning_rate: f64

Learning rate

weight_decay: f64

Weight decay for AdamW

beta1: f64

Adam beta1

beta2: f64

Adam beta2

grad_clip: f64

Gradient clipping max norm

batch_size: usize

Batch size

epochs: usize

Number of training epochs

warmup_steps: usize

Warmup steps for learning rate scheduler

save_every: usize

Save checkpoint every N steps

eval_every: usize

Evaluate every N steps

log_every: usize

Log every N steps

seq_len: usize

Sequence length for training

gradient_accumulation_steps: usize

Gradient accumulation steps

Trait Implementations

impl Clone for TrainingConfig

fn clone(&self) -> TrainingConfig

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for TrainingConfig

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

Formats the value using the given formatter.

impl Default for TrainingConfig

fn default() -> Self

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for TrainingConfig

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for TrainingConfig

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

where __S: Serializer,

Serialize this value into the given Serde serializer.