diff --git a/src/rules.jl b/src/rules.jl
index f428666..3cd7743 100644
--- a/src/rules.jl
+++ b/src/rules.jl
@@ -499,7 +499,7 @@ function apply!(o::NAdam, state, x::AbstractArray{T}, dx) where T
 end
 
 """
-    AdamW(η = 0.001, β = (0.9, 0.999), λ = 0, ϵ = 1e-8; couple = true)
+    AdamW(η = 0.001, β = (0.9, 0.999), λ = 0.01, ϵ = 1e-8; couple = true)
     AdamW(; [eta, beta, lambda, epsilon, couple])
 
 [AdamW](https://arxiv.org/abs/1711.05101) is a variant of Adam fixing (as in repairing) its
@@ -534,12 +534,12 @@ struct AdamW{Teta,Tbeta<:Tuple,Tlambda,Teps} <: AbstractRule
   couple::Bool
 end
 
-function AdamW(η, β = (0.9, 0.999), λ = 0.0, ϵ = 1e-8; couple::Bool = true)
+function AdamW(η, β = (0.9, 0.999), λ = 0.01, ϵ = 1e-8; couple::Bool = true)
   η < 0 && throw(DomainError(η, "the learning rate cannot be negative"))
   return AdamW(float(η), β, float(λ), float(ϵ), couple)
 end
 
-AdamW(; eta = 0.001, beta = (0.9, 0.999), lambda= 0.0,  epsilon = 1e-8, kw...) =
+AdamW(; eta = 0.001, beta = (0.9, 0.999), lambda= 0.01,  epsilon = 1e-8, kw...) =
   AdamW(eta, beta, lambda, epsilon; kw...)
 
 init(o::AdamW, x::AbstractArray{T}) where T = (zero(x), zero(x), T.(o.beta))