rounding

src/populate.py

@@ -185,6 +185,10 @@ def get_category_leaderboard_df(category: str, version="v0") -> pd.DataFrame:
                     if "sample_count" in test_metrics and pd.notna(test_metrics["sample_count"]):
                         total_samples += test_metrics["sample_count"]
 
+            print(f"F1 values: {f1_values}")
+            print(f1_values, recall_values, precision_values, accuracy_values, total_samples)
+
+
             # Add overall averages
             if f1_values:
                 filtered_entry["average_f1"] = sum(f1_values) / len(f1_values)