diff --git a/codes/scripts/find_faulty_files.py b/codes/scripts/find_faulty_files.py
index f860ec46..abbc431b 100644
--- a/codes/scripts/find_faulty_files.py
+++ b/codes/scripts/find_faulty_files.py
@@ -15,6 +15,7 @@ import torch
 import numpy as np
 
 current_batch = None
+output_file = open('find_faulty_files_results.tsv', 'a')
 
 class LossWrapper:
     def __init__(self, lwrap):
@@ -32,13 +33,16 @@ class LossWrapper:
 
     def __call__(self, m, state):
         global current_batch
+        global output_file
         val = state[self.lwrap.key]
         assert val.shape[0] == len(current_batch['path'])
         val = val.view(val.shape[0], -1)
         val = val.mean(dim=1)
-        errant = torch.nonzero(val > .5)
+        errant = torch.nonzero(val > 8)
         for i in errant:
             print(f"ERRANT FOUND: {val[i]} path: {current_batch['path'][i]}")
+            output_file.write(current_batch['path'][i] + "\n")
+        output_file.flush()
         return self.lwrap(m, state)
 
 
@@ -54,7 +58,7 @@ if __name__ == "__main__":
     torch.backends.cudnn.benchmark = True
     want_metrics = False
     parser = argparse.ArgumentParser()
-    parser.add_argument('-opt', type=str, help='Path to options YAML file.', default='../options/train_lrdvae_audio_clips.yml')
+    parser.add_argument('-opt', type=str, help='Path to options YAML file.', default='../experiments/clean_with_lrdvae.yml')
     opt = option.parse(parser.parse_args().opt, is_train=True)
     opt = option.dict_to_nonedict(opt)
     utils.util.loaded_options = opt