diff --git a/src/wf_psf/plotting/plots_interface.py b/src/wf_psf/plotting/plots_interface.py
index 262628ad..30e22674 100644
--- a/src/wf_psf/plotting/plots_interface.py
+++ b/src/wf_psf/plotting/plots_interface.py
@@ -232,7 +232,12 @@ def plot(self):
                 y_right_axis_label="Relative error [%]",
                 filename=os.path.join(
                     self.plots_dir,
-                    plot_dataset + "_" + self.metric_name + "_RMSE.png",
+                    plot_dataset
+                    + "_"
+                    + self.metric_name
+                    + "_nstars_"
+                    + "_".join(str(nstar) for nstar in self.list_of_stars)
+                    + "_RMSE.png",
                 ),
                 plot_show=self.plotting_params.plot_show,
             )
@@ -254,6 +259,8 @@ class MonochromaticMetricsPlotHandler:
         Dictionary containing the metric configurations as RecursiveNamespace objects for each run
     metrics: list
         Dictionary containing list of metrics
+    list_of_stars: list
+        List containing the number of stars used for each training data set
     plots_dir: str
         Output directory for metrics plots
 
@@ -261,10 +268,18 @@ class MonochromaticMetricsPlotHandler:
 
     ids = ("mono_metrics",)
 
-    def __init__(self, plotting_params, metrics_confs, metrics, plots_dir):
+    def __init__(
+        self,
+        plotting_params,
+        metrics_confs,
+        metrics,
+        list_of_stars,
+        plots_dir,
+    ):
         self.plotting_params = plotting_params
         self.metrics_confs = metrics_confs
         self.metrics = metrics
+        self.list_of_stars = list_of_stars
         self.plots_dir = plots_dir
 
     def plot(self):
@@ -289,16 +304,16 @@ def plot(self):
                         metrics_id.append(run_id + "-" + k)
                         y_axis.append(
                             {
-                                (k + "-" + run_id): metrics_data[run_id][0][plot_dataset]["mono_metric"][
-                                    "rmse_lda"
-                                ]
+                                (k + "-" + run_id): metrics_data[run_id][0][
+                                    plot_dataset
+                                ]["mono_metric"]["rmse_lda"]
                             }
                         )
                         y_axis_err.append(
                             {
-                                (k + "-" + run_id): metrics_data[run_id][0][plot_dataset]["mono_metric"][
-                                    "std_rmse_lda"
-                                ]
+                                (k + "-" + run_id): metrics_data[run_id][0][
+                                    plot_dataset
+                                ]["mono_metric"]["std_rmse_lda"]
                             }
                         )
 
@@ -315,7 +330,12 @@ def plot(self):
                 y_right_axis_label="Relative error [%]",
                 filename=os.path.join(
                     self.plots_dir,
-                    (plot_dataset + "_monochrom_pixel_RMSE.png"),
+                    (
+                        plot_dataset
+                        + "_nstars_"
+                        + "_".join(str(nstar) for nstar in self.list_of_stars)
+                        + "_monochrom_pixel_RMSE.png"
+                    ),
                 ),
                 plot_show=self.plotting_params.plot_show,
             )
@@ -335,6 +355,8 @@ class ShapeMetricsPlotHandler:
         Recursive Namespace Object containing plotting parameters
     metrics: list
         Dictionary containing list of metrics
+    list_of_stars: list
+        List containing the number of stars used for each training data set
     plots_dir: str
         Output directory for metrics plots
 
@@ -417,7 +439,6 @@ def plot(self):
 
                     std_rmse_R2_meanR2.append(
                         {
-                            (k + "-" + run_id): metrics_data[run_id][0][plot_dataset][
                             (k + "-" + run_id): metrics_data[run_id][0][plot_dataset][
                                 "shape_results_dict"
                             ]["std_rmse_R2_meanR2"]
@@ -435,7 +456,10 @@ def plot(self):
                 y_right_axis_label="Relative error [%]",
                 filename=os.path.join(
                     self.plots_dir,
-                    plot_dataset + "_Shape_RMSE.png",
+                    plot_dataset
+                    + "_nstars_"
+                    + "_".join(str(nstar) for nstar in self.list_of_stars)
+                    + "_Shape_RMSE.png",
                 ),
                 plot_show=self.plotting_params.plot_show,
             )
@@ -447,6 +471,10 @@ def get_number_of_stars(metrics):
     A function to get the number of stars used
     in training the model.
 
+    Parameters
+    ----------
+    metrics: dict
+        A dictionary containig the metrics results per run
     Returns
     -------
     list_of_stars: list
@@ -511,7 +539,7 @@ def plot_metrics(plotting_params, list_of_metrics, metrics_confs, plot_saving_pa
         metrics_plot.plot()
 
     monochrom_metrics_plot = MonochromaticMetricsPlotHandler(
-        plotting_params, metrics_confs, list_of_metrics, plot_saving_path
+        plotting_params, metrics_confs, list_of_metrics, list_of_stars, plot_saving_path
     )
     monochrom_metrics_plot.plot()