diff --git a/python/llm/dev/benchmark/perplexity/make_table.py b/python/llm/dev/benchmark/perplexity/make_table.py
index e502b5ce..7a6c84fa 100644
--- a/python/llm/dev/benchmark/perplexity/make_table.py
+++ b/python/llm/dev/benchmark/perplexity/make_table.py
@@ -35,8 +35,8 @@ def make_table(result_dict):
     """Generate table of results."""
     md_writer = MarkdownTableWriter()
     latex_writer = LatexTableWriter()
-    md_writer.headers =  ["Model", "Precision", "ppl_result"]#["Model", "Precision", "en", "zh"]
-    latex_writer.headers = ["Model", "Precision", "ppl_result"]#"en", "zh"]
+    md_writer.headers =  ["Model", "Precision", "ppl_result"]
+    latex_writer.headers = ["Model", "Precision", "ppl_result"]
 
     languages = ["en", "zh"]
     values = []
@@ -46,7 +46,7 @@ def make_table(result_dict):
             for language in languages:
                 task_results = prec_results.get(language, None)
                 if task_results is None:
-                    continue#value.append("")
+                    continue
                 else:
                     result = task_results["results"]
                     value.append("%.4f" % result)
diff --git a/python/llm/test/benchmark/perplexity/ppl_csv_to_html.py b/python/llm/test/benchmark/perplexity/ppl_csv_to_html.py
index c2c18558..f00cc5d1 100644
--- a/python/llm/test/benchmark/perplexity/ppl_csv_to_html.py
+++ b/python/llm/test/benchmark/perplexity/ppl_csv_to_html.py
@@ -106,9 +106,8 @@ def main():
 
         # Add display of FP16 values for each model and add percentage difference column
 
-    task = 'ppl_result'
-    latest_csv[f'{task}_FP16'] = latest_csv['Model'].apply(lambda model: fp16_dict.get(model, {}).get(task, 'N/A'))
-    latest_csv[f'{task}_diff_FP16(%)'] = latest_csv.apply(lambda row: calculate_percentage_difference(row[task], row[f'{task}_FP16']), axis=1)
+    latest_csv['ppl_result_FP16'] = latest_csv['Model'].apply(lambda model: fp16_dict.get(model, {}).get('ppl_result', 'N/A'))
+    latest_csv['ppl_result_diff_FP16(%)'] = latest_csv.apply(lambda row: calculate_percentage_difference(row['ppl_result'], row['ppl_result_FP16']), axis=1)
     print(csv_files)
 
     if len(csv_files)>1:
@@ -168,14 +167,9 @@ def main():
 
 
         diffs_within_normal_range = is_diffs_within_normal_range(diff_ppl_result, threshold=highlight_threshold)
-
-        subset1='ppl_result_diff_last(%)'
         
-        # columns will be different: columns_sec={'ppl_result': '{:.2f}'}
         columns={'ppl_result': '{:.2f}', 'last_ppl_result': '{:.2f}', 'ppl_result_diff_last(%)': '{:.2f}'}
-        # This is the same
         latest_csv.drop('Index', axis=1, inplace=True)
-        # subset is different
 
         styled_df = latest_csv.style.format(columns).applymap(lambda val: highlight_vals(val, max=highlight_threshold, is_last=True), subset=['ppl_result_diff_last(%)'])
         styled_df = styled_df.applymap(lambda val: highlight_vals(val, max=highlight_threshold, is_last=False), subset=['ppl_result_diff_FP16(%)'])
@@ -203,14 +197,3 @@ def main():
  
 if __name__ == "__main__":
     sys.exit(main())
-        
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-