Remove odd warning in comment.
@@ -110,7 +110,7 @@ optimizer = adam // Optimizer. All valid AllenNLP options are available, includ
lr = 0.0001 // Initial learning rate.
min_lr = 0.000001 // Minimum learning rate. Training will stop when our explicit LR decay lowers the LR below this point.
max_grad_norm = 5.0 // Maximum gradient norm, for use in clipping.
-lr_patience = 1 // [Uninformative name alert!] Patience to use (in validation checks) before decaying the learning rate.
+lr_patience = 1 // Patience to use (in validation checks) before decaying the learning rate.
// Learning rate will decay after lr_patience + 1 validation checks have completed with no improvement
// in validation score.
lr_decay_factor = 0.5 // Factor by which to decay LR (multiplicative) when lr_patience is reached.
