cer print

visualize_per_sentence.py

@@ -66,10 +66,17 @@ preds  = {}
 
 for file_interface in FULL_PKL:
     y = pd.read_pickle(file_interface)
-    preds[file_interface] = y
+    # y = y.rolling(20).mean()[19:]  --> avoid when printing character error rate
+    preds[file_interface] = y #.sort_values('styletts2-valence')
+    print(f'\n\n         {file_interface}\n_____________________________\n', 
+          f"{y['cer-prompt'].mean()=}", 
+          f"{y['cer-styletts2'].mean()=}\n\n")
     
 
 
+# =================================== cER ---------------------------
+
+
 for lang in ['english', 
              'foreign']: