GitLab

* Fixup all examples

* Fix multiple deletions of the same files in save_pretrained

* Add is_main_process argument

BertModelForSequenceClassification -> BertForSequenceClassification

* Fix `distributed_concat` with scalar tensor

* Update trainer_pt_utils.py

* Add fix

* Apply suggestion from code review
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

1. Fixes evaluation errors popping up when you train/eval on squad v2 (one was newly encountered and one that was previously reported Running SQuAD 1.0 sample command raises IndexError #15401 but not completely fixed).
2. Removes boolean arguments that don't use store_true. Please, don't use these: *ANY non-empty string is being converted to True in this case and this clearly is not the desired behavior (and it creates a LOT of confusion).
3. All no-trainer test scripts are now saving metric values in the same way (with the right prefix eval_), which is consistent with the trainer-based versions.
4. Adds forgotten model.eval() in the no-trainer versions. This improved some results, but not everything (see the discussion in the end). Please, see the F1 scores and the discussion below.

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

* Add first draft

* Improve script and README

* Improve README

* Apply suggestions from code review

* Improve script, add link to resulting model

* Add corresponding test

* Adjust learning rate

* Avoid repeated per-lang filtering

* Language groups and logits preprocessing

* Style

* add roformer onnx config

FIx Iterations for decoder

* apply torch int div

* black linting fixup

* update path to torch_int_div

* clarify imports

* Limit the use of PreTrainedModel.device

* Fix

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

* added deit onnx config

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

* XLA min len, forced eos, and forced bos
Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>

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

* add torch.cuda.empty_cache in some PT RAG tests

* torch.cuda.empty_cache in tearDownModule()

* tearDown()

* add gc.collect()
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* add missing ckpt in config docs

* add more missing ckpt in config docs

* fix wrong ckpts

* fix realm ckpt

* fix s2t2

* fix xlm_roberta ckpt

* Fix for deberta v2

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

* use only one checkpoint for DPR

* Apply suggestions from code review
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* fix doc test

* fix doc test
Co-authored-by: Patrick <patrick@pop-os.localdomain>

Co-authored-by: ChainYo <t.chaigneau.tc@gmail.com>

* [DocTests] Fix some doc tests

* hacky fix

* correct

* changes in create optimizer to support tensor parallelism with SMP

* Update src/transformers/trainer.py

Convert if check to one line.
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Cavdar <dcavdar@a07817b12d7e.ant.amazon.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* add OnnxConfig for ConvBert
Co-authored-by: ChainYo <t.chaigneau.tc@gmail.com>

* Add doctest BERT

* make fixup

* fix typo

* change checkpoints

* make fixup

* define doctest output value, update doctest for mobilebert

* solve fix-copies

* update QA target start index and end index

* change checkpoint for docs and reuse defined variable

* Update src/transformers/models/bert/modeling_tf_bert.py
Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>

* Apply suggestions from code review
Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>

* Apply suggestions from code review
Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>

* make fixup

* Add Doctest for Albert and Bigbird

* make fixup

* overwrite examples for Albert and Bigbird

* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* update longer examples for Bigbird

* using examples from squad_v2

* print out example text

* change name token-classification-big-bird checkpoint to random
Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Minor improvements to `convert_file_size_to_int`

* Add <unit>bit version to kilos and megas

* Minor fix

* add missing entries in some mappings
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* add tflops logging and fix grad accumulation

* add accelerate tracking and checkpointing

* scale loss of last batch correctly

* fix typo

* compress loss computation
Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* add resume from checkpoint argument

* add load_state accelerate from checkpoint, register lr scheduler and add tflops function

* reformat code

* reformat code

* add condition on path for resume checkpoint

* combine if conditions
Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* add source for tflops formula
Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

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

* add gptj to TOKENIZER_MAPPING_NAMES

* fix int32 to float to avoid problem in onnx

* Update src/transformers/models/gptj/modeling_gptj.py
Co-authored-by: ChainYo <t.chaigneau.tc@gmail.com>
Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>

- all activations should be fetched through ACT2FN
- it returns ReLU as `nn.Module`, which allows attaching hooks on the activation function and prints it to stdout when `print(model)`