GitLab

And update README to explain the work-in-progress!

First of the new and more idiomatic TF examples!

* Base move

* Examples reorganization

* Update references

* Put back test data

* Move conftest

* More fixes

* Move test data to test fixtures

* Update path

* Apply suggestions from code review
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Address review comments and clean
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Update to use datasets remove_cloumns method

* Quality

* initial changes

* modified evaluation

* updated evaluation

* updated evaluation on text translation example script

* added translation example script

* Formatted translation example script

* Reformatted translation example

* Fixed evaluation bug and added support for other tokenisers

* Fixed evaluation bug and added support for other tokenisers

* Added translation example script

* Formatted summarization example script

* Removed typos from summarization example script

Co-authored-by: Sudharsan Thirumalai <sudharsan.t@sprinklr.com>

Co-authored-by: nithin19 <nithin@amberscript.com>

* model_path is refered as the path of the trainer, and should be ignored as the checkpoint path.

* Improved according to Sgugger's comment.

* fix _LazyModule hasher error

* reword

* keep a list of multilingual tokenizers

* add forced_bos_token argument

Corrected a typo ('Downlowd' to 'Download')

* relocate core integration tests

* add sys.path context manager

* cleanup

* try

* try2

* fix path

* doc

* style

* add dep

* add 2 more deps

* Add mlm collator pad to multiple option (#10627)

* Use padding to 8x in run mlm (#10627)

* synced gpus

* fix

* fix

* need to use t5-small for quality tests

* notes

* complete merge

* fix a disappearing std stream problem

* start zero3 tests

* wip

* tune params

* sorting out the pre-trained model loading

* reworking generate loop wip

* wip

* style

* fix tests

* split the tests

* refactor tests

* wip

* parameterized

* fix

* workout the resume from non-ds checkpoint pass + test

* cleanup

* remove no longer needed code

* split getter/setter functions

* complete the docs

* suggestions

* gpus and their compute capabilities link

* Apply suggestions from code review
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* style

* remove invalid paramgd

* automatically configure zero3 params that rely on hidden size

* make _get_resized_embeddings zero3-aware

* add test exercising resize_token_embeddings()

* add docstring
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* clarify why we get the warning here

* Update examples/language-modeling/run_clm.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* wording

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

these get concatenated without whitespace, so fix it

* The 'warn' method is deprecated

* fix test

* accelerate question answering examples with no trainer

* removed train and eval flags also fixed fill np array function

* Update examples/question-answering/run_qa_beam_search_no_trainer.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update examples/question-answering/run_qa_no_trainer.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Initial draft for clm no trainer

* Remove unwanted args

* Fix bug

* Update examples/language-modeling/run_clm_no_trainer.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Add initial script for finetuning MLM models with accelerate

* Add evaluation metric calculation

* Fix bugs

* Use no_grad on evaluation

* update script docstring

* Update examples/language-modeling/run_mlm_no_trainer.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* PR feedback

* Fix CI failure

* Update examples/language-modeling/run_mlm_no_trainer.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* First third

* Styling and fix mistake

* Quality

* All the rest

* Treat %s and %d

* typo

* Missing )

* Apply suggestions from code review
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Fixed typos

* Removed legacy colab notebook from readme
Co-authored-by: WybeKoper <WybeKoper@users.noreply.github.com>

* added py7zr

* comment out check_min for sagemaker test

* added min version again

Fixes https://github.com/huggingface/transformers/security/dependabot/examples/research_projects/lxmert/requirements.txt/Pygments/open

@LysandreJik

* Initial commit

* Another bunch of updates

* make style quliaty + delete debug arg from bash script

* Use compue_metrics func

* Do a few fixes

* Add copyright

* Fix typos

* Add NER example with accelerate library

* This commit contains the first (yet really unfinished)
version of a script for showing how to train HuggingFace model
with their new accelerate library.

* Fix metric calculation

* make style quality

* mv ner_no_trainer to token-classification dir

* Delete --debug flag from running script

* hf_datasets -> raw_datasets

* Make a few slight adjustments

* Add an informative comment + rewrite a help comment

* Change header

* Fix a few things

* Enforce to use fast tokenizers only

* DataCollatorWithPadding -> DataCollatorForTokenClassification

* Change bash script: python3 -> accelerate launch

* make style

* Add a few missing things (see below)

* Add a max-lenghth padding to predictions and labels to
enable accelerate gather functionality

* Add PyTorch no trainer example to the example README.md

* Remove --do-train from args as being redundant for now

* DataCollatorWithPadding -> DataCollatorForTokenClassification

* Remove some obsolete args.do_train conditions from the script

* Delete --do_train from bash running script

* Delete use_slow_tokenizer from args

* Add unintentionally removed flag --label_all_tokens

* Delete --debug flag from running script

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

this PR fixes https://github.com/huggingface/transformers/security/dependabot/examples/research_projects/lxmert/requirements.txt/PyYAML/open

Use the correct variable (raw_datasets) instead of the module (datasets)
where appropriate.