KeyError: 'eval_wer' when training

[michaelpginn]

I am trying to train on a small set of files in HFT mode on an M1 mac. My config settings are below.

I get the following error when starting training.

Traceback (most recent call last):
  File "/opt/pyenv/versions/3.10.0/lib/python3.10/site-packages/flask/app.py", line 2548, in __call__
    return self.wsgi_app(environ, start_response)
  File "/opt/pyenv/versions/3.10.0/lib/python3.10/site-packages/flask/app.py", line 2528, in wsgi_app
    response = self.handle_exception(e)
  File "/opt/pyenv/versions/3.10.0/lib/python3.10/site-packages/flask/app.py", line 2525, in wsgi_app
    response = self.full_dispatch_request()
  File "/opt/pyenv/versions/3.10.0/lib/python3.10/site-packages/flask/app.py", line 1822, in full_dispatch_request
    rv = self.handle_user_exception(e)
  File "/opt/pyenv/versions/3.10.0/lib/python3.10/site-packages/flask/app.py", line 1820, in full_dispatch_request
    rv = self.dispatch_request()
  File "/opt/pyenv/versions/3.10.0/lib/python3.10/site-packages/flask/app.py", line 1796, in dispatch_request
    return self.ensure_sync(self.view_functions[rule.endpoint])(**view_args)
  File "/elpis/elpis/endpoints/model.py", line 145, in results
    results = model.get_train_results()
  File "/elpis/elpis/engines/hft/objects/model.py", line 788, in get_train_results
    "comparison_val": float(self.config["results"]["eval_wer"]),
KeyError: 'eval_wer'