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Migration to Evaluate for metric is not quite complete

Save the tokenizer and image preprocessor after training a model with the contrastive image-text example (#23035)

Save tokenizer and image preprocessor

Bump flask in /examples/research_projects/decision_transformer

Bumps [flask](https://github.com/pallets/flask) from 2.0.3 to 2.3.2.
- [Release notes](https://github.com/pallets/flask/releases)
- [Changelog](https://github.com/pallets/flask/blob/main/CHANGES.rst)
- [Commits](https://github.com/pallets/flask/compare/2.0.3...2.3.2

)

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  dependency-type: direct:production
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* Avoid invalid escape sequences, use raw strings

* Integrate PR feedback

minor refactoring to allow compatible datasets to work.

Remove accelerate from tf

* add: tokenizer training script for TF TPU LM training.

* add: script for preparing the TFRecord shards.

* add: sequence of execution to readme.

* remove limit from the tfrecord shard name.

* Add initial train_model.py

* Add basic training arguments and model init

* Get up to the point of writing the data collator

* Pushing progress so far!

* Complete first draft of model training code

* feat: grouping of texts efficiently.
Co-authored-by: Matt <rocketknight1@gmail.com>

* Add proper masking collator and get training loop working

* fix: things.

* Read sample counts from filenames

* Read sample counts from filenames

* Draft README

* Improve TPU warning

* Use distribute instead of distribute.experimental

* Apply suggestions from code review
Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>

* Modularize loading and add MLM probability as arg

* minor refactoring to better use the cli args.

* readme fillup.

* include tpu and inference sections in the readme.

* table of contents.

* parallelize maps.

* polish readme.

* change script name to run_mlm.py

* address PR feedback (round I).

---------
Co-authored-by: Matt <rocketknight1@gmail.com>
Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>

* Replace -100s in predictions by the pad token

* Style

* Try to catch them all

* Update run_speech_recognition_ctc.py

Make sure all processes wait until data is saved before loading the processor from the output_dit

* Make sure all processes wait until data is saved before loading the processor from the output_dit

* Update run_speech_recognition_ctc.py

* Update run_speech_recognition_seq2seq.py

Add id2label and label2id to config in run_xnil

Bump redis in /examples/research_projects/decision_transformer

Bumps [redis](https://github.com/redis/redis-py) from 4.5.3 to 4.5.4.
- [Release notes](https://github.com/redis/redis-py/releases)
- [Changelog](https://github.com/redis/redis-py/blob/master/CHANGES)
- [Commits](https://github.com/redis/redis-py/compare/v4.5.3...v4.5.4

)

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Bump redis in /examples/research_projects/decision_transformer

Bumps [redis](https://github.com/redis/redis-py) from 4.1.4 to 4.5.3.
- [Release notes](https://github.com/redis/redis-py/releases)
- [Changelog](https://github.com/redis/redis-py/blob/master/CHANGES)
- [Commits](https://github.com/redis/redis-py/compare/v4.1.4...v4.5.3

)

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  dependency-type: direct:production
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* Add initial remote hardware auto-setup docs

* Fix a few typos and clarify some language

* Add missing dependency

* Update self-hosted launch script with Sylvain's comments.

* Formatting.

* Trigger CI

* Style

* Pin tensorflow-text to go with tensorflow

* Make it more convenient to pin TensorFlow

* setup don't like f-strings

allow only test_file in pytorch and flax summarization

* add low_cpu_mem_usage option in run_clm.py example which will benefit LLM loading
Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>

* update all the example and README under language-modeling
Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>

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Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>

* Add specaugment to run_speech_recognition_seq2seq.py

* Remove useless argument: text_column

* Fix quality

* Update return_attention_mask condition

* Update specaugment arguments only for whisper models

* Remove SpecAugment arguments from ModelArguments, only leave default values for simplicity

* Apply suggestions from code review
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* Update apply_spec_augment only for whisper models

* Apply suggestions from code review
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* Rename return_attention_mask to forward_attention_mask to avoid confusion with wav2vec2 models

---------
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* Stop requiring Torch for our TF examples!

* Slight tweak to logging in the example itself

* Initial commit

* stash commit

* Add model checkpointing and pushing

* Fix model name inference

* Update README

* Update README

* Remove a couple of Torch references

* Update copyright date

* make fixup

* Update PushToHubCallback args!

* Remove the torch summary

* Add strategy.scope

* Add check for different embedding types in examples

* Correctly update summarization example

* Override the decoding parameters of Seq2SeqTrainer

* Fix quality

* Fix max_length parameter

* Fix quality

* Remove redundant parameter max_length

* Separate the preprocess of train and validation to use different max_target_length

* [Examples] Generalise run audio classification for log-mel models

* batch feature extractor

* make style

* Respect documentation on passive log level

* Fix test and set log level in examples

* Add doc

pin pytorch lightning requirement

Bump werkzeug in /examples/research_projects/decision_transformer

Bumps [werkzeug](https://github.com/pallets/werkzeug) from 2.0.3 to 2.2.3.
- [Release notes](https://github.com/pallets/werkzeug/releases)
- [Changelog](https://github.com/pallets/werkzeug/blob/main/CHANGES.rst)
- [Commits](https://github.com/pallets/werkzeug/compare/2.0.3...2.2.3

)

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  dependency-type: direct:production
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Bump ipython in /examples/research_projects/decision_transformer

Bumps [ipython](https://github.com/ipython/ipython) from 8.1.1 to 8.10.0.
- [Release notes](https://github.com/ipython/ipython/releases)
- [Commits](https://github.com/ipython/ipython/compare/8.1.1...8.10.0

)

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  dependency-type: direct:production
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Update run_mae.py