diff --git a/python-package/xgboost/training.py b/python-package/xgboost/training.py
index 3da92ff51..5bf2b4f38 100644
--- a/python-package/xgboost/training.py
+++ b/python-package/xgboost/training.py
@@ -38,8 +38,6 @@ def _train_internal(params, dtrain,
             xgb_model = xgb_model.save_raw()
         bst = Booster(params, [dtrain] + [d[0] for d in evals], model_file=xgb_model)
         nboost = len(bst.get_dump())
-    else:
-        bst = Booster(params, [dtrain] + [d[0] for d in evals])
 
     _params = dict(params) if isinstance(params, list) else params
 
@@ -150,7 +148,7 @@ def train(params, dtrain, num_boost_round=10, evals=(), obj=None, feval=None,
     evals_result: dict
         This dictionary stores the evaluation results of all the items in watchlist.
         Example: with a watchlist containing [(dtest,'eval'), (dtrain,'train')] and
-        and a paramater containing ('eval_metric', 'logloss')
+        a paramater containing ('eval_metric', 'logloss')
         Returns: {'train': {'logloss': ['0.48253', '0.35953']},
                   'eval': {'logloss': ['0.480385', '0.357756']}}
     verbose_eval : bool or int