diff --git a/examples/classifier_compression/inspect_ckpt.py b/examples/classifier_compression/inspect_ckpt.py
index 1d149366e57a5499d751b34e39b92b08577f5cc6..727aafd59a58a981992c15e87fafd7f678841267 100755
--- a/examples/classifier_compression/inspect_ckpt.py
+++ b/examples/classifier_compression/inspect_ckpt.py
@@ -29,7 +29,6 @@ $ python3 inspect_ckpt.py checkpoint.pth.tar --model --schedule
 import torch
 import argparse
 from tabulate import tabulate
-
 import distiller
 from distiller.apputils.checkpoint import get_contents_table
 
@@ -53,8 +52,11 @@ def inspect_checkpoint(chkpt_file, args):
         sched_keys = [[k, type(compression_sched[k]).__name__] for k in compression_sched.keys()]
         print(tabulate(sched_keys, headers=["Key", "Type"], tablefmt="fancy_grid"))
         if "masks_dict" in checkpoint["compression_sched"]:
-            print("compression_sched[\"masks_dict\"] keys:\n{}".format(", ".join(
-                  list(compression_sched["masks_dict"].keys()))))
+            masks_dict = compression_sched["masks_dict"]
+            print("compression_sched[\"masks_dict\"] keys:\n{}".format(list(masks_dict.keys())))
+            mask_sparsities = [(param_name, distiller.sparsity(mask)) for param_name, mask in masks_dict.items()
+                               if mask is not None]
+            print(tabulate(mask_sparsities, headers=["Module", "Mask Sparsity"], tablefmt="fancy_grid"))
 
     if args.thinning and "thinning_recipes" in checkpoint:
         for recipe in checkpoint["thinning_recipes"]: