TQDMProgressBar calls tqdm.refresh instead of tqdm.update.

Nobody has claimed this yet.

### Bug description

As of GH-13962, `TQDMProgressBar` calls [tqdm.refresh instead of tqdm.update](https://github.com/Lightning-AI/pytorch-lightning/blob/b554e9915aa9868bf62ae8feb2df0543272c1b3f/src/lightning/pytorch/callbacks/progress/tqdm_progress.py#L464), explicitly setting `n`:

```
if not bar.disable:
bar.n = value
bar.refresh()
```

However, I believe the proper API is to use [update](https://tqdm.github.io/docs/tqdm/#update) instead.

In particular, this means that things done as part of `update` like [EMAs](https://github.com/tqdm/tqdm/blob/0ed5d7f18fa3153834cbac0aa57e8092b217cc16/tqdm/std.py#L1238) are not updated, which means that using a custom callback to e.g. pass `smoothing` to have instantaneous values doesn't work, or more generally it might break things in subtle ways.

cc @ethanwharris @lantiga @awaelchli

### What version are you seeing the problem on?

master

### Reproduced in studio

_No response_

### How to reproduce the bug

```python

```

### Error messages and logs

```
# Error messages and logs here please
```

### Environment

Current environment

```
#- PyTorch Lightning Version (e.g., 2.5.0):
#- PyTorch Version (e.g., 2.5):
#- Python version (e.g., 3.12):
#- OS (e.g., Linux):
#- CUDA/cuDNN version:
#- GPU models and configuration:
#- How you installed Lightning(`conda`, `pip`, source):
```

### More info

_No response_

Start in src/lightning/pytorch/callbacks/progress/tqdm_progress.py at the linked line and compare the tqdm.refresh and tqdm.update APIs. Check the TQDMProgressBar behavior with a custom smoothing callback; done means the progress update path preserves EMA and instantaneous values as expected.

Written by the indexing model from the issue text.