diff --git a/mmaction/apis/train.py b/mmaction/apis/train.py
index f04ed6c712..7a3cd1351b 100644
--- a/mmaction/apis/train.py
+++ b/mmaction/apis/train.py
@@ -1,5 +1,6 @@
 # Copyright (c) OpenMMLab. All rights reserved.
 import copy as cp
+import os
 import os.path as osp
 
 import numpy as np
@@ -205,21 +206,22 @@ def train_model(model,
     if test['test_last'] or test['test_best']:
         best_ckpt_path = None
         if test['test_best']:
-            if hasattr(eval_hook, 'best_ckpt_path'):
-                best_ckpt_path = eval_hook.best_ckpt_path
-
-            if best_ckpt_path is None or not osp.exists(best_ckpt_path):
+            ckpt_paths = [x for x in os.listdir(cfg.work_dir) if 'best' in x]
+            ckpt_paths = [x for x in ckpt_paths if x.endswith('.pth')]
+            if len(ckpt_paths) == 0:
+                runner.logger.info('Warning: test_best set, but no ckpt found')
                 test['test_best'] = False
-                if best_ckpt_path is None:
-                    runner.logger.info('Warning: test_best set as True, but '
-                                       'is not applicable '
-                                       '(eval_hook.best_ckpt_path is None)')
-                else:
-                    runner.logger.info('Warning: test_best set as True, but '
-                                       'is not applicable (best_ckpt '
-                                       f'{best_ckpt_path} not found)')
                 if not test['test_last']:
                     return
+            elif len(ckpt_paths) > 1:
+                epoch_ids = [
+                    int(x.split('epoch_')[-1][:-4]) for x in ckpt_paths
+                ]
+                best_ckpt_path = ckpt_paths[np.argmax(epoch_ids)]
+            else:
+                best_ckpt_path = ckpt_paths[0]
+            if best_ckpt_path:
+                best_ckpt_path = osp.join(cfg.work_dir, best_ckpt_path)
 
         test_dataset = build_dataset(cfg.data.test, dict(test_mode=True))
         gpu_collect = cfg.get('evaluation', {}).get('gpu_collect', False)
@@ -242,7 +244,7 @@ def train_model(model,
         if test['test_last']:
             names.append('last')
             ckpts.append(None)
-        if test['test_best']:
+        if test['test_best'] and best_ckpt_path is not None:
             names.append('best')
             ckpts.append(best_ckpt_path)
 
diff --git a/mmaction/core/evaluation/ava_utils.py b/mmaction/core/evaluation/ava_utils.py
index 7f6571d478..e7aa10b2f6 100644
--- a/mmaction/core/evaluation/ava_utils.py
+++ b/mmaction/core/evaluation/ava_utils.py
@@ -1,6 +1,6 @@
 # This piece of code is directly adapted from ActivityNet official repo
 # https://github.com/activitynet/ActivityNet/blob/master/
-# Evaluation/get_ava_performance.py. Some unused codes are removed. 
+# Evaluation/get_ava_performance.py. Some unused codes are removed.
 import csv
 import logging
 import time