diff --git a/src/instructlab/eval/exceptions.py b/src/instructlab/eval/exceptions.py
index 28b686df..0a4f93b8 100644
--- a/src/instructlab/eval/exceptions.py
+++ b/src/instructlab/eval/exceptions.py
@@ -124,6 +124,18 @@ def __init__(self, tasks_dir) -> None:
         self.message = f"Invalid Tasks Dir: {tasks_dir}"
 
 
+class InvalidEvaluationResult(EvalError):
+    """
+    Error raised for invalid eval results
+    Attributes
+        message         error message to be printed on raise
+    """
+
+    def __init__(self, message) -> None:
+        super().__init__()
+        self.message = message
+
+
 class ModelServingAPIError(EvalError):
     """
     Error raised when reply retrieval from model serving fails.
diff --git a/src/instructlab/eval/mt_bench_judgment.py b/src/instructlab/eval/mt_bench_judgment.py
index f853a094..c322fdeb 100644
--- a/src/instructlab/eval/mt_bench_judgment.py
+++ b/src/instructlab/eval/mt_bench_judgment.py
@@ -8,6 +8,9 @@
 import numpy as np
 import pandas as pd
 
+# First Party
+from instructlab.eval import exceptions
+
 # Local
 from .logger_config import setup_logger
 from .mt_bench_common import (
@@ -97,8 +100,13 @@ def make_judgment(
     turn_scores = []
     # First turn
     df_1 = judgment_df[judgment_df["turn"] == 1].groupby(["model", "turn"]).mean()
-    overall_score = df_1["score"].iloc[0]
-    turn_scores.append(overall_score)
+    if len(df_1.index) > 0:
+        overall_score = df_1["score"].iloc[0]
+        turn_scores.append(overall_score)
+    else:
+        raise exceptions.InvalidEvaluationResult(
+            "Evaluation provided no result. See logs for more details."
+        )
 
     if bench_name == "mt_bench":
         # Second turn