size mismatch for fastpitch encoder
I am training my model on (Hi-Fi TTS) dataset and when I am calling model. fit, it is giving me the following error.
`Traceback (most recent call last):
  File "fastpitch_finetune.py", line 33, in main
    model.maybe_init_from_pretrained_checkpoint(cfg=cfg)
  File "/opt/conda/lib/python3.8/site-packages/pytorch_lightning/utilities/distributed.py", line 50, in wrapped_fn
    return fn(*args, **kwargs)
  File "/opt/conda/lib/python3.8/site-packages/nemo/core/classes/modelPT.py", line 998, in maybe_init_from_pretrained_checkpoint
    self.load_state_dict(restored_model.state_dict(), strict=False)
  File "/opt/conda/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1370, in load_state_dict
    raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
RuntimeError: Error(s) in loading state_dict for FastPitchModel:
	size mismatch for fastpitch.encoder.word_emb.weight: copying a param with shape torch.Size([115, 384]) from checkpoint, the shape in current model is torch.Size([114, 384]).`

I am using Nemo branch 1.7.1 for this