!2866 modify the loss scale annotation

Merge pull request !2866 from lilei/modify_loss_scale_annotation

mindspore/nn/optim/proximal_ada_grad.py

@@ -71,7 +71,7 @@ class ProximalAdagrad(Optimizer):
         l1 (float): l1 regularization strength, must be greater than or equal to zero. Default: 0.0.
         l2 (float): l2 regularization strength, must be greater than or equal to zero. Default: 0.0.
         use_locking (bool): If True use locks for update operation. Default: False.
-        loss_scale (float): Value for the loss scale. It should be equal to or greater than 1.0. Default: 1.0.
+        loss_scale (float): Value for the loss scale. It should be greater than 0.0. Default: 1.0.
         wegith_decay (float): Weight decay value to multiply weight, must be zero or positive value. Default: 0.0.
 
     Inputs: