val_wer
When I change the ddp to auto, I can train, but I get a new error with the following error. What do you guys suggest please?
error executing job with overrides: []
Traceback (most recent call last):
  File "/home/zhengbeida/code/NeMo-main/NeMo-main/NeMo-main/examples/slu/speech_intent_slot/run_speech_intent_slot_train.py", line 119, in main
    trainer.fit(model)
  File "/home/zhengbeida/anaconda3/envs/nemo/lib/python3.10/site-packages/pytorch_lightning/trainer/trainer.py", line 520, in fit
    call._call_and_handle_interrupt(
  File "/home/zhengbeida/anaconda3/envs/nemo/lib/python3.10/site-packages/pytorch_lightning/trainer/call.py", line 44, in _call_and_handle_interrupt
    return trainer_fn(*args, **kwargs)
  File "/home/zhengbeida/anaconda3/envs/nemo/lib/python3.10/site-packages/pytorch_lightning/trainer/trainer.py", line 559, in _fit_impl
    self._run(model, ckpt_path=ckpt_path)
  File "/home/zhengbeida/anaconda3/envs/nemo/lib/python3.10/site-packages/pytorch_lightning/trainer/trainer.py", line 935, in _run
    results = self._run_stage()
  File "/home/zhengbeida/anaconda3/envs/nemo/lib/python3.10/site-packages/pytorch_lightning/trainer/trainer.py", line 978, in _run_stage
    self.fit_loop.run()
  File "/home/zhengbeida/anaconda3/envs/nemo/lib/python3.10/site-packages/pytorch_lightning/loops/fit_loop.py", line 201, in run
    self.advance()
  File "/home/zhengbeida/anaconda3/envs/nemo/lib/python3.10/site-packages/pytorch_lightning/loops/fit_loop.py", line 354, in advance
    self.epoch_loop.run(self._data_fetcher)
  File "/home/zhengbeida/anaconda3/envs/nemo/lib/python3.10/site-packages/pytorch_lightning/loops/training_epoch_loop.py", line 134, in run
    self.on_advance_end()
  File "/home/zhengbeida/anaconda3/envs/nemo/lib/python3.10/site-packages/pytorch_lightning/loops/training_epoch_loop.py", line 248, in on_advance_end
    self.val_loop.run()
  File "/home/zhengbeida/anaconda3/envs/nemo/lib/python3.10/site-packages/pytorch_lightning/loops/utilities.py", line 174, in _decorator
    return loop_run(self, *args, **kwargs)
  File "/home/zhengbeida/anaconda3/envs/nemo/lib/python3.10/site-packages/pytorch_lightning/loops/evaluation_loop.py", line 122, in run
    return self.on_run_end()
  File "/home/zhengbeida/anaconda3/envs/nemo/lib/python3.10/site-packages/pytorch_lightning/loops/evaluation_loop.py", line 258, in on_run_end
    self._on_evaluation_end()
  File "/home/zhengbeida/anaconda3/envs/nemo/lib/python3.10/site-packages/pytorch_lightning/loops/evaluation_loop.py", line 303, in _on_evaluation_end
    call._call_callback_hooks(trainer, hook_name, *args, **kwargs)
  File "/home/zhengbeida/anaconda3/envs/nemo/lib/python3.10/site-packages/pytorch_lightning/trainer/call.py", line 190, in _call_callback_hooks
    fn(trainer, trainer.lightning_module, *args, **kwargs)
  File "/home/zhengbeida/anaconda3/envs/nemo/lib/python3.10/site-packages/pytorch_lightning/callbacks/model_checkpoint.py", line 311, in on_validation_end
    self._save_topk_checkpoint(trainer, monitor_candidates)
  File "/home/zhengbeida/anaconda3/envs/nemo/lib/python3.10/site-packages/pytorch_lightning/callbacks/model_checkpoint.py", line 358, in _save_topk_checkpoint
    raise MisconfigurationException(m)
lightning_fabric.utilities.exceptions.MisconfigurationException: `ModelCheckpoint(monitor='val_wer')` could not find the monitored key in the returned metrics: ['train_loss', 'learning_rate_g0', 'learning_rate_g1', 'train_backward_timing', 'train_step_timing', 'training_batch_wer', 'epoch', 'step']. HINT: Did you call `log('val_wer', value)` in the `LightningModule`?
Set the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace.