Punctuation and Capitalization model is not run on multiple GPUs when `devices>1` or `gpus>1`.
**Describe the bug**

Punctuation and capitalization model is run on 1 GPU even if `strategy=ddp`, `accelerator=gpu`, `devices=2`. For running on several GPUs a user has to set parameter `num_processes`.

**Steps/Code to reproduce bug**

Run script `examples/nlp/token_classification/punctuation_capitalization_train_evaluate.py` with `trainer.accelerator=gpu`, `trainer.devices > 1`, `trainer.strategy=ddp` and check GPU utilization.

**Expected behavior**

Several GPUs used.

**Environment overview (please complete the following information)**

 - Environment location: bare-metal
 - Method of NeMo install: from source

**Environment details**

If NVIDIA docker image is used you don't need to specify these.
Otherwise, please provide:
- OS version: Ubuntu 20.04.2 LTS
- PyTorch version: 1.10.1
- Python version: 3.8

**Additional context**

The reason for the problem is that in this [line](https://github.com/NVIDIA/NeMo/blob/f6987f4fb9e6c45afe0559e82d5d09e7d28a365d/examples/nlp/token_classification/punctuation_capitalization_train_evaluate.py#L101) default values of trainer config from this [file](https://github.com/NVIDIA/NeMo/blob/main/nemo/core/config/pytorch_lightning.py) are added. Default value of `num_processes=1` blocks the model from running on multiple GPUs.
