Debugging

utils.py

@@ -98,6 +98,7 @@ You can generate an output file in the above format using the evaluation script
 def get_df():
     repo = Repository(local_dir=SUBMISSION_NAME, clone_from=SUBMISSION_URL, use_auth_token=HF_TOKEN)
     repo.git_pull()
+    print(os.listdir("."))
     df = pd.read_csv(CSV_DIR)
     df['Model Size(B)'] = df['Model Size(B)'].apply(process_model_size)
     df = df.sort_values(by=['Overall'], ascending=False)