Enum TrainingObjective 

pub enum TrainingObjective {
    LanguageModeling,
    SupervisedFineTuning,
    RLHF,
    Custom {
        name: String,
        parameters: HashMap<String, String>,
    },
}

Training objective type

Variants

LanguageModeling

Standard language modeling objective

SupervisedFineTuning

Supervised fine-tuning with custom objectives

RLHF

Reinforcement learning from human feedback

Custom

Custom objective with specific parameters

Fields

name: String

Objective name

parameters: HashMap<String, String>

Objective-specific parameters

Trait Implementations

impl Clone for TrainingObjective

fn clone(&self) -> TrainingObjective

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for TrainingObjective

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for TrainingObjective

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for TrainingObjective

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

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 TrainingObjective