update optimizer documentation

optimization.py

@@ -42,17 +42,18 @@ SCHEDULES = {
 
 
 class BERTAdam(Optimizer):
-    """Implements Open AI version of Adam algorithm with weight decay fix.
+    """Implements BERT version of Adam algorithm with weight decay fix (and no ).
     Params:
-        lr,
-        warmup=-1,
-        t_total=-1,
-        schedule='warmup_linear',
-        b1=0.9,
-        b2=0.999,
-        e=1e-6,
-        weight_decay_rate=0.01,
-        max_grad_norm=1.0
+        lr: learning rate
+        warmup: portion of t_total for the warmup, -1  means no warmup. Default: -1
+        t_total: total number of training steps for the learning
+            rate schedule, -1  means constant learning rate. Default: -1
+        schedule: schedule to use for the warmup (see above). Default: 'warmup_linear'
+        b1: Adams b1. Default: 0.9
+        b2: Adams b2. Default: 0.999
+        e: Adams epsilon. Default: 1e-6
+        weight_decay_rate: Weight decay. Default: 0.01
+        max_grad_norm: Maximum norm for the gradients (-1 means no clipping). Default: 1.0
     """
     def __init__(self, params, lr, warmup=-1, t_total=-1, schedule='warmup_linear',
                  b1=0.9, b2=0.999, e=1e-6, weight_decay_rate=0.01,