* Add logits_processor parameter, used by `generate`, to `Seq2SeqTrainer` methods `evaluate` and `predict`
* Add all generate parameters to `Seq2SeqTrainer`, and also to `QuestionAnsweringSeq2SeqTrainer` which overrides it
* Remove `self._num_beams` from trainer classes
* - Run fixup
- Fix "Constraint" not exposed
- Fix synced_gpus to actually read from param
* Use kwargs
* Copy kwargs before making changes to it
* Fix style issues unused imports
- Fix `top_k_top_p_filtering` not passing `filter_value` to
`TopPLogitsWarper` causing any top-p filtered logits to be -inf
instead of specified value
- Add corresponding test
* Add final_layer_norm to OPT model
* Add JAX and TF version
* Fix Keras name
* Woops
* Allow for non breaking change
* Apply suggestions from code review
* add tests
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* rename to check_pt_flax_outputs
* update check_pt_flax_outputs
* use 5e-5 for BigBird PT/Flax test
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
* Prepare CI for v0.8.0
* pin hfh (revert before merge)
* Revert "pin hfh (revert before merge)"
This reverts commit a0103140e1.
* Test rc3
* Test latest rc
* Unpin to the RC
Co-authored-by: Sylvain Gugger <Sylvain.gugger@gmail.com>
* Fix docstrings and variable names
* Rename x to something better
* Improve messages
* Fix docstrings and add test for greyscale images
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
* deduplication draft
* update style
* update style test
* dummy test main
* rename modules
* rename functions
* return extremes in deduplicate_clusters
* update style
* cast str for gzip
* update doc string
* time processing
* use dataset map to compute minhash
* fill value for short token
* remove da map method
* update style
* use share object to multiprocess
* update style
* use f-string and minor fix
Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>
Co-authored-by: Loubna Ben Allal <44069155+loubnabnl@users.noreply.github.com>
* update style
* use module parameters
* change ds_dedup to ds_filter
* save ds_dedup
* mv test to script tests
* make jaccard threshold a parameter of deduplicate_dataset
* update style
* add doc strings
* update style
* add doc string for DuplicationIndex
* save files into data dir
* update readme
* Update examples/research_projects/codeparrot/README.md
Co-authored-by: Loubna Ben Allal <44069155+loubnabnl@users.noreply.github.com>
* make near deduplication optional
* move near deduplication in README
* Update examples/research_projects/codeparrot/README.md
Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>
* use f string
Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>
Co-authored-by: Loubna Ben Allal <44069155+loubnabnl@users.noreply.github.com>
On line 180, `torch.tensor(-1.0, xxx)` gives the error "TypeError: 'float' object cannot be interpreted as an integer"
This is because the dtype here is `int64`. For `dtype=int64`, this needs to simply be `-1`.
This impacts the long-t5-tglogbal-x model. It does not impact the long-t5-local-x version which does not appear to call this line.
* Use torch.finfo(self.dtype).min
* for GPTNeoX
* for Albert
* For Splinter
* Update src/transformers/models/data2vec/modeling_data2vec_audio.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* fix -inf used in Bart-like models
* Fix a few remaining -inf
* more fix
* clean up
* For CLIP
* For FSMT
* clean up
* fix test
* Add dtype argument and use it for LayoutLMv3
* update FlaxLongT5Attention
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Added translation of installation.mdx to Portuguese, as well
as default templates of _toctree.yml and _config.py
* [ build_documentation.yml ] - Updated doc_builder to build
documentation in Portuguese.
[ pipeline_tutorial.mdx ] - Created translation for the pipeline_tutorial.mdx.
* [ build_pr_documentation.yml ] - Added pt language to pr_documentation builder.
[ pipeline_tutorial.mdx ] - Grammar changes.
* [ accelerate.mdx ] - Translated to Portuguese the acceleration tutorial.
* [ multilingual.mdx ] - Added portuguese translation for multilingual tutorial.
[ training.mdx ] - Added portuguese translation for training tutorial.
* [ preprocessing.mdx ] - WIP
* Update _toctree.yml
* Adding Pré-processamento to _toctree.yml
* Update accelerate.mdx
* Nits and eliminate preprocessing file while it is ready
* [ index.mdx ] - Translated to Portuguese the index apresentation page.
* [ docs/source/pt ] - Updated _toctree.yml to match newest translations.
* Fix build_pr_documentation.yml
* Fix index nits
* nits in _toctree
Co-authored-by: Omar U. Espejel <espejelomar@gmail.com>
* Fix eval to compute rouge correctly for rouge_score
* styling
* moving sentence tokenization to utils from run_eval
* saving ckpt in mlflow
* use existing format of args
* fix documentation
Co-authored-by: Swetha Mandava <smandava@nvidia.com>
* 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>
* rembert: fix python codeblock
* rembert: use correct google/rembert checkpoint name in documentation
* rembert: use correct google/rembert checkpoint name in TF documentation
* add new bloom classes
* (feat) add bloom classification tests; make style
* style: change import in test
* add some typehints to bloom classes
* merge main into branch
* fix: input checking in bloom seq classification
* fix tests
* change model class tests
* fix few tests
- more tests should pass
- one test left
* make token classifier return hidden states
* style: make BLOOM typehints consistent
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
Co-authored-by: younesbelkada <younesbelkada@gmail.com>
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
