[tune](deps): Bump transformers from 4.6.1 to 4.8.2 in /python/requirements/tune

[dependabot]

Bumps transformers from 4.6.1 to 4.8.2.

Release notes

Sourced from transformers's releases.

Patch release: v4.8.2

• Rename detr targets to labels #12280 (@​NielsRogge)
• fix ids_to_tokens naming error in tokenizer of deberta v2 #12412 (@​hjptriplebee)
• Add option to save on each training node #12421 (@​sgugger)

v4.8.1: Patch release

• Fix default for TensorBoard folder
• Ray Tune install #12338
• Tests fixes for Torch FX #12336

v4.8.0 Integration with the Hub and Flax/JAX support

Integration with the Hub

Our example scripts and Trainer are now optimized for publishing your model on the Hugging Face Hub, with Tensorboard training metrics, and an automatically authored model card which contains all the relevant metadata, including evaluation results.

Trainer Hub integration

Use --push_to_hub to create a model repo for your training and it will be saved with all relevant metadata at the end of the training.

Other flags are:

• push_to_hub_model_id to control the repo name
• push_to_hub_organization to specify an organization

Visualizing Training metrics on huggingface.co (based on Tensorboard)

By default if you have tensorboard installed the training scripts will use it to log, and the logging traces folder is conveniently located inside your model output directory, so you can push them to your model repo by default.

Any model repo that contains Tensorboard traces will spawn a Tensorboard server:

which makes it very convenient to see how the training went! This Hub feature is in Beta so let us know if anything looks weird :)

See this model repo

Model card generation

The model card contains info about the datasets used, the eval results, ...

Many users were already adding their eval results to their model cards in markdown format, but this is a more structured way of adding them which will make it easier to parse and e.g. represent in leaderboards such as the ones on Papers With Code!

We use a format specified in collaboration with [PaperswithCode] (https://github.com/huggingface/huggingface_hub/blame/main/modelcard.md), see also this repo.

Model, tokenizer and configurations

... (truncated)

Commits

• 96d1cfb Patch release: v4.8.2
• 7d42ddd Add option to save on each training node (#12421)
• 22bb717 fix ids_to_tokens naming error in tokenizer of deberta v2 (#12412)
• 2fcc976 Rename detr targets to labels (#12280)
• 1366172 Release: v4.8.1
• c0073b6 Fix torchscript tests (#12336)
• 0b752bf try-this (#12338)
• fb711f2 Fix default to logging_dir lost in merge conflict
• 055f86f Release: v4.8.0
• 468cda2 [Flax T5] Fix weight initialization and fix docs (#12327)
• Additional commits viewable in compare view

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[dependabot]

Superseded by #42.