* Update run_translation_no_trainer.py
found an error in selecting `no_decay` parameters and some small modifications when the user continues to train from a checkpoint
* fixs `no_decay` and `resume_step` issue
1. change `no_decay` list
2. if use continue to train their model from provided checkpoint, the `resume_step` will not be initialized properly if `args.gradient_accumulation_steps != 1`
* Added accelerate gradient accumulation wrapper to run_image_classification_no_trainer.py example script
* make fixup changes
* PR comments
* changed input to Acceletor based on PR comment, ran make fixup
* Added comment explaining the sync_gradients statement
* Fixed lr scheduler max steps
* Changed run_clm_no_trainer.py script to use accelerate gradient accum wrapper
* Fixed all scripts except wav2vec2 pretraining to use accelerate gradient accum wrapper
* Added accelerate gradient accum wrapper for wav2vec2_pretraining_no_trainer.py script
* make fixup and lr_scheduler step inserted back into run_qa_beam_search_no_trainer.py
* removed changes to run_wav2vec2_pretraining_no_trainer.py script and fixed using wrong constant in qa_beam_search_no_trainer.py script
* Add examples telemetry
* Alternative approach
* Add to all other examples
* Add to templates as well
* Put framework separately
* Same for TensorFlow
* Change tracking to store_true
* Remove step param and use it in the log dictionary directly
* use vars(args) when passing args to init_trackers
* Include tracking tests since tensorboard is already a dep
* Fixed some bugs involving saving during epochs
* Added tests mimicking the existing examples tests
* Added in json exporting to all `no_trainer` examples for consistency
* Split file_utils in several submodules
* Fixes
* Add back more objects
* More fixes
* Who exactly decided to import that from there?
* Second suggestion to code with code review
* Revert wront move
* Fix imports
* Adapt all imports
* Adapt all imports everywhere
* Revert this import, will fix in a separate commit
* remove sum for list flattening
* change to chain(*)
* make chain object a list
* delete empty lines
per sgugger's suggestions
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Nicholas Broad <nicholas@nmbroad.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* examples: only use keep_linebreaks when reading TXT files for all CLM examples
* examples: only use keep_linebreaks when reading TXT files for all CLM examples
* examples: only use keep_linebreaks when reading TXT files for all CLM examples
* examples: add keep_linebreaks option to text dataset loader for all CLM examples
* examples: introduce new keep_linebreaks option as data argument in CLM examples
* Fix tied weights on TPU
* Manually tie weights in no trainer examples
* Fix for test
* One last missing
* Gettning owned by my scripts
* Address review comments
* Fix test
* Fix tests
* Fix reformer tests
* Validation split percentage to be used for custom data files also
Issue same as https://github.com/huggingface/transformers/issues/12406 fixed for pytorch branch run_mlm.py
* Validation split added in the right place
* Update run_clm.py
* validation split added for custom files
* Validation split added for custom files
* Update run_plm.py
* fixed validation split for custom files as input for pytorch examples in lm
* Update run_clm_no_trainer.py
* args modified
* 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>
