GitLab

* implement gradient_accumulation_steps support in DeepSpeed integration

* typo

* cleanup

* cleanup

* add zero-shot distillation script

* readme wordsmithing

* clean up code

* add multi-gpu teacher inference
plus tidying up more code

* add use_fast_tokenizer arg

* update results in readme

* more readme wordsmithing

* style

* Add handle to readme
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* fix code block

* add error+docs about distributed & tpu

* add @sgugger format requests

* xla -> tpu

* support fp16 for teacher preds

* no checkpoint by default

* add demo colab link

* add model sharing prompt + model link

* correct resulting acc of example
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* memory tracker metrics

* go back to eval for somewhat consistency

* handle no-gpu case

* deal with stackable eval calls

* restore callback order

* style

* simplify the API

* add test

* docs

* consistently use eval_ prefix

* improve docs

* Update src/transformers/trainer_utils.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* rename method

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

* fix invalid port

* missing requirements

* move old s2s scripts to legacy

* add the tests back

* proper rename

* restore

* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Stas Bekman <stas@stason.org>
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* fix run_seq2seq.py; porting DeepSpeed tests to it

* unrefactor

* defensive programming

* defensive programming 2

* port the rest of the trainer tests

* style

* a cleaner scripts dir finder

* cleanup

* fix rouge metrics and task specific params

* fix typo

* round metrics

* typo

* remove task_specific_params

* init devices/setup explicitly

* docs + test

* simplify

* cleanup

* cleanup

* cleanup

* correct the required dist setup

* derive local_rank from env LOCAL_RANK

* remove xnli_compute_metrics, add load_dataset, load_metric, set_seed,metric.compute,load_metric

* fix

* fix

* fix

* push

* fix

* everything works

* fix init

* fix

* special treatment for sepconv1d

* style

* 🙏🏽

* add doc and cleanup


* fix doc

* fix doc again

* fix doc again

* Apply suggestions from code review

* make style

* Proposal that should work

* Remove needless code

* Fix test

* Apply suggestions from code review

* remove xnli_compute_metrics, add load_dataset, load_metric, set_seed,metric.compute,load_metric

* amend README

* removed data_args.task_name and replaced with task_name = "xnli"; use split function to load train and validation dataset separately; remove __post_init__; remove flag --task_name from README.

* removed dict task_to_keys, use str "xnli" instead of variable task_name, change preprocess_function to use examples["premise"], examples["hypothesis"] directly, remove sentence1_key and sentence2_key, change compute_metrics function to cater only to accuracy metric, add condition for train_langauge is None when using dataset.load_dataset()

* removed `torch.distributed.barrier()` and `import torch` as `from_pretrained` is able to do the work; amend README

* free up memory at the end of train

* rework tests

* consistent formatting

* correction

* doc: update W&B related doc

* doc(wandb): mention report_to

* doc(wandb): commit suggestion
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* doc(wandb): fix typo

* doc(wandb): remove WANDB_DISABLED
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* add do_predict, pass eval_beams durig eval

* update help

* apply suggestions from code review

* deepspeed bug fixes and tests

* manual wrap?

* replace -100 token ids with the tokenizer pad_id for compute_metrics

* fixed typo for label_ids

* make executable

* make executable

* same for the template

* cleanup

* add prepare_decoder_input_ids_from_labels in s2s models

* support lbl smoothing and enc/emb freezing

* fix freezing

* use pad_token_id from config

* remove embed freezing and add warning

* prepare decoder_input_ids inside DataCollatorForSeq2Seq

Looks like a vulnerability and it's not really used anywhere in the code, so just as well remove it completely from deps.
https://github.com/huggingface/transformers/security/dependabot/examples/research_projects/lxmert/requirements.txt/bleach/open

* change tokenizer requirement

* split line

* Correct typo from list to str

* improve style

* make other function pretty as well

* add comment

* correct typo

* add new test

* pass tests for tok without padding token

* Apply suggestions from code review

* Remove subclass for sortish sampler

* Use old Seq2SeqTrainer in script

* Styling

* MOD: fit chinese wwm to new datasets

* MOD: move wwm to new folder

* MOD: formate code

* Styling

* MOD add param and recover trainer
Co-authored-by: Sylvain Gugger <sylvain.gugger@gmail.com>

* Pad to 8x for fp16 multiple choice example (#9752)

* Pad to 8x for fp16 squad trainer example (#9752)

* Pad to 8x for fp16 ner example (#9752)

* Pad to 8x for fp16 swag example (#9752)

* Pad to 8x for fp16 qa beam search example (#9752)

* Pad to 8x for fp16 qa example (#9752)

* Pad to 8x for fp16 seq2seq example (#9752)

* Pad to 8x for fp16 glue example (#9752)

* Pad to 8x for fp16 new ner example (#9752)

* update script template #9752

* Update examples/multiple-choice/run_swag.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

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

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

* improve code quality #9752
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Auto-resume training from checkpoint

* Update examples/text-classification/run_glue.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Roll out to other examples
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Fixes to run_seq2seq and instructions

* Add more defaults for summarization