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This reverts commit d8cf3b20.

* Clean up utils.hub using the latest from hf_hub

* Adapt test

* Address review comment

* Fix test

* Pin rouge_score

* Pin also in dependency_versions_table

* Update excluded versions

* Revert "Update excluded versions"

This reverts commit 0d0362df30a816108835f5c061272ee2bafec270.

* Revert "Revert "Update excluded versions""

This reverts commit 66c47af8a6baff253575631b0ba392e0354b6d56.

* Pin ffspec

* Typo

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Fix compatibility with 1.12

* Remove pin from examples requirements

* Update torch scatter version

* Fix compatibility with 1.12

* Remove pin from examples requirements

* Update torch scatter version

* fix torch.onnx.symbolic_opset12 import

* Reject bad version
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Update pinned hhub version

* Make style

* Fix ROUGE add example check and update README

* Stay consistent in values

* Fix slow CI by pinning resampy

* Actually put it in the speech dependencies

* Add a TF in-graph tokenizer for BERT

* Add from_pretrained

* Add proper truncation, option handling to match other tokenizers

* Add proper imports and guards

* Add test, fix all the bugs exposed by said test

* Fix truncation of paired texts in graph mode, more test updates

* Small fixes, add a (very careful) test for savedmodel

* Add tensorflow-text dependency, make fixup

* Update documentation

* Update documentation

* make fixup

* Slight changes to tests

* Add some docstring examples

* Update tests

* Update tests and add proper lowercasing/normalization

* make fixup

* Add docstring for padding!

* Mark slow tests

* make fixup

* Fall back to BertTokenizerFast if BertTokenizer is unavailable

* Fall back to BertTokenizerFast if BertTokenizer is unavailable

* make fixup

* Properly handle tensorflow-text dummies

* Migrate HFDeepSpeedConfig from trfrs to accelerate

* add `accelerate` to testing dep

* addressing comments

* addressing comments

Using `_shared_state` and avoiding object creation. This is necessary as `notebook_launcher` in `launcers.py` checks `len(AcceleratorState._shared_state)>0` to throw an error.

* resolving comments

1. Use simple API from accelerate to manage the deepspeed config integration
2. Update the related documentation

* reverting changes and addressing comments

* docstring correction

* addressing nits

* addressing nits

* addressing nits 3

* bumping up the accelerate version to 0.10.0

* resolving import

* update setup.py to include deepspeed dependencies

* Update dependency_versions_table.py

* fixing imports

* reverting changes to CI dependencies for "run_tests_pipelines_tf*" tests

These changes didn't help with resolving the failures and I believe this needs to be addressed in another PR.

* removing `accelerate` as hard dependency

Resolves issues related to CI Tests

* adding `accelerate` as dependency for building docs

resolves failure in Build PR Documentation test

* adding `accelerate` as dependency in "dev" to resolve doc build issue

* resolving comments

1. adding `accelerate` to extras["all"]
2. Including check for accelerate too before import HFDeepSpeedConfig from there
Co-Authored-By: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* resolving comments
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* [trainer/deepspeed] load_best_model

* to sync with DS PR #1947

* simplify

* rework load_best_model test

* cleanup

* bump deepspeed>=0.6.5
Co-authored-by: Olatunji Ruwase <olruwase@microsoft.com>

* Initial work

* More or less finished with first draft

* Update src/transformers/modeling_utils.py
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* Update src/transformers/modeling_utils.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Fix randomly initialized weights

* Update src/transformers/modeling_utils.py
Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>

* Address review comments

* Rename DeepSpeed folder to temporarily fix the test issue?

* Revert to try if Accelerate fix works

* Use latest Accelerate release

* Quality and fixes

* Style

* Quality

* Add doc

* Test + fix

* More blocks
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>

* Pin dill for now

* Try this version?

* force install

* Actually use dep in testing

* Try a larger pin

* Black preview

* Fixup too!

* Fix check copies

* Use the same version as the CI

* Bump black

* model zoo take 2

* add deberta

* new param for zero2

* doc update

* doc update

* add layoutlm

* bump deepspeed

* add deberta-v2, funnel, longformer

* new models

* style

* add t5_v1

* update TAPAS status

* reorg problematic models

* move doc to another PR

* style

* fix checkpoint check test

* making progress on more models running

* cleanup

* new version

* cleanup

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

- Adds auto_batch_size finder 
- Moves training loop to an inner training loop

* Skip RoFormer ONNX test if rjieba not installed

* Update deps table

* Skip RoFormer serialization test

* Fix RoFormer vocab

* Add rjieba to CircleCI

* Result of new doc style with fixes

* Add last two files

* Bump hf-doc-builder

* Pin Jax to last working release

* Try lower

* Try lower

* Pin tokenizers version <0.13

* Style

* Config update

* Use doc-builder styler

* Cleanup

* Adapt import

* We need it there too!

* [WIP] add support for bf16 mode

* prep for bf16

* prep for bf16

* fix; zero2/bf16 is ok

* check bf16 is available

* test fixes

* enable zero3_bf16

* config files

* docs

* split stage_dtype; merge back to non-dtype-specific config file

* fix doc

* cleanup

* cleanup

* bfloat16 => bf16 to match the PR changes

* s/zero_gather_fp16_weights_on_model_save/zero_gather_16bit_weights_on_model_save/; s/save_fp16_model/save_16bit_model/

* test fixes/skipping

* move

* fix

* Update docs/source/main_classes/deepspeed.mdx
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* backticks

* cleanup

* cleanup

* cleanup

* new version

* add note about grad accum in bf16
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

Very big changes concerning the tokenizer fast of CLIP which did not correspond to the tokenizer slow of CLIP
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

`tokenizers` version that supports the feature to choose the direction of truncation

* Upgrade black to version ~=22.0

* Check copies

* Fix code

* [deepspeed] saving checkpoint fallback when fp16 weights aren't saved

* Bump required deepspeed version to match usage when saving checkpoints

* update version
Co-authored-by: Mihai Balint <balint.mihai@gmail.com>