fix typo

modeling.py

@@ -740,12 +740,12 @@ def attention_layer(from_tensor,
   context_layer = tf.transpose(context_layer, [0, 2, 1, 3])
 
   if do_return_2d_tensor:
-    # `context_layer` = [B*F, N*V]
+    # `context_layer` = [B*F, N*H]
     context_layer = tf.reshape(
         context_layer,
         [batch_size * from_seq_length, num_attention_heads * size_per_head])
   else:
-    # `context_layer` = [B, F, N*V]
+    # `context_layer` = [B, F, N*H]
     context_layer = tf.reshape(
         context_layer,
         [batch_size, from_seq_length, num_attention_heads * size_per_head])