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AdaptiveLearningRateConfig

trustformers_training::adaptive_learning_rate

Struct AdaptiveLearningRateConfig 

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pub struct AdaptiveLearningRateConfig {
Show 15 fields
    pub initial_lr: f32,
    pub min_lr: f32,
    pub max_lr: f32,
    pub loss_based_adaptation: bool,
    pub gradient_based_adaptation: bool,
    pub plateau_detection: bool,
    pub plateau_patience: usize,
    pub plateau_threshold: f32,
    pub reduction_factor: f32,
    pub increase_factor: f32,
    pub trend_window: usize,
    pub momentum: f32,
    pub cyclical_lr: bool,
    pub cycle_length: usize,
    pub lr_range_test: bool,

}
Expand description

Configuration for adaptive learning rate scheduling

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§initial_lr: f32

Initial learning rate

§min_lr: f32

Minimum learning rate

§max_lr: f32

Maximum learning rate

§loss_based_adaptation: bool

Enable loss-based adaptation

§gradient_based_adaptation: bool

Enable gradient-based adaptation

§plateau_detection: bool

Enable plateau detection

§plateau_patience: usize

Patience for plateau detection (steps)

§plateau_threshold: f32

Plateau threshold (relative improvement)

§reduction_factor: f32

Adaptation factor for reductions

§increase_factor: f32

Adaptation factor for increases

§trend_window: usize

Window size for trend analysis

§momentum: f32

Momentum for exponential moving averages

§cyclical_lr: bool

Enable cyclical learning rates

§cycle_length: usize

Cycle length for cyclical LR

§lr_range_test: bool

Enable learning rate range test mode

Trait Implementations§

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impl Clone for AdaptiveLearningRateConfig

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fn clone(&self) -> AdaptiveLearningRateConfig

Returns a duplicate of the value. Read more
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fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for AdaptiveLearningRateConfig

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

Formats the value using the given formatter. Read more
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impl Default for AdaptiveLearningRateConfig

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fn default() -> Self

Returns the “default value” for a type. Read more
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impl<'de> Deserialize<'de> for AdaptiveLearningRateConfig

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fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>
where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer. Read more
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impl Serialize for AdaptiveLearningRateConfig

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

Serialize this value into the given Serde serializer. Read more

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