Add text support to the Trainer's TensorBoard integration
Author: JacobLinCool
Pull request: yes

# What does this PR do?

Add text support to `TensorBoardCallback` so users can see the decoded text generated in `compute_metrics` in TensorBoard. Sometimes the string is very long, so a `max_str_len` (defaults to 100) property has also been added to `ProgressCallback` to prevent polluting the progress log.

Can be used to checkout transcription when fine-tuning ASR models:
<img width="2180" alt="截圖 2024-10-26 凌晨2 49 07" src="https://github.com/user-attachments/assets/c6f1c114-63e3-44dc-b6af-82cf23928f62">

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      Pull Request section?
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## Who can review?

Anyone in the community is free to review the PR once the tests have passed. Feel free to tag
members/contributors who may be interested in your PR.

- trainer: @muellerzr and @SunMarc

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Models:

- text models: @ArthurZucker
- vision models: @amyeroberts, @qubvel
- speech models: @ylacombe, @eustlb
- graph models: @clefourrier

Library:

- flax: @sanchit-gandhi
- generate: @zucchini-nlp (visual-language models) or @gante (all others)
- pipelines: @Rocketknight1
- tensorflow: @gante and @Rocketknight1
- tokenizers: @ArthurZucker
- chat templates: @Rocketknight1

Integrations:

- deepspeed: HF Trainer/Accelerate: @muellerzr
- ray/raytune: @richardliaw, @amogkam
- Big Model Inference: @SunMarc
- quantization (bitsandbytes, autogpt): @SunMarc @MekkCyber

Documentation: @stevhliu

HF projects:

- accelerate: [different repo](https://github.com/huggingface/accelerate)
- datasets: [different repo](https://github.com/huggingface/datasets)
- diffusers: [different repo](https://github.com/huggingface/diffusers)
- rust tokenizers: [different repo](https://github.com/huggingface/tokenizers)

Maintained examples (not research project or legacy):

- Flax: @sanchit-gandhi
- PyTorch: See Models above and tag the person corresponding to the modality of the example.
- TensorFlow: @Rocketknight1

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Comments:
Feel free to merge when good @SunMarc 

The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_34418). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.