diff --git a/scoring/scoring.py b/scoring/scoring.py
index 12aae1357..7e52bd08c 100644
--- a/scoring/scoring.py
+++ b/scoring/scoring.py
@@ -47,9 +47,10 @@
     'ctc_loss',
     'wer',
     'l1_loss',
+    'loss',
 ]
 
-MAX_EVAL_METRICS = ['average_precision', 'ssim', 'accuracy', 'bleu_score']
+MAX_EVAL_METRICS = ['mean_average_precision', 'ssim', 'accuracy', 'bleu']
 
 
 def generate_eval_cols(metrics):
@@ -128,8 +129,7 @@ def get_index_that_reaches_target(workload_df,
   op = operator.le if is_minimized else operator.ge
   validation_target_reached = validation_series.apply(
       lambda x: op(x, validation_target))
-
-  target_reached = pd.Series(validation_target_reached[0])
+  target_reached = pd.Series(validation_target_reached)
   # Remove trials that never reach the target
   target_reached = target_reached[target_reached.apply(np.any)]
 
diff --git a/setup.cfg b/setup.cfg
index a7ce5ebb2..4c2d9e6d3 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -37,6 +37,7 @@ install_requires =
   absl-py==1.4.0
   numpy>=1.23
   pandas>=2.0.1
+  tabulate==0.9.0
   tensorflow==2.12.0
   tensorflow-datasets==4.9.2
   tensorflow-probability==0.20.0