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  1. 20 Apr, 2022 1 commit
  3. 19 Apr, 2022 7 commits
  5. 18 Apr, 2022 4 commits
  7. 15 Apr, 2022 2 commits
  9. 14 Apr, 2022 2 commits
  11. 13 Apr, 2022 3 commits
  13. 12 Apr, 2022 4 commits
  15. 11 Apr, 2022 6 commits
  17. 08 Apr, 2022 1 commit
    • NielsRogge's avatar
      Add TAPEX (#16473) · 4ef0abb7
      NielsRogge authored 
      

* Add TapexTokenizer

* Improve docstrings and provide option to provide answer

* Remove option for pretokenized inputs

* Add TAPEX to README

* Fix copies

* Remove option for pretokenized inputs

* Initial commit: add tapex fine-tuning examples on both table-based question answering and table-based fact verification.

* - Draft a README file for running the script and introducing some background.
- Remove unused code lines in tabfact script.
- Disable the deafult `pad_to_max_length` option which is memory-consuming.

* * Support `as_target_tokenizer` function for TapexTokenizer.
* Fix the do_lower_case behaviour of TapexTokenizer.
* Add unit tests for target scenarios and cased/uncased scenarios for both source and target.

* * Replace the label BartTokenizer with TapexTokenizer's as_target_tokenizer function.
* Fix typos in tapex example README.

* * fix the evaluation script - remove the property `task_name`

* * Make the label space more clear for tabfact tasks

* * Using a new fine-tuning script for tapex-base on tabfact.

* * Remove the lowercase code outside the tokenizer - we use the tokenizer to control whether do_lower_case
* Guarantee the hyper-parameter can be run without out-of-memory on 16GB card and report the new reproduced number on wikisql

* * Remove the default tokenizer_name option.
* Provide evaluation command.

* * Support for WikiTableQuestion dataset.

* Fix a typo in README.

* * Fix the datasets's key name in WikiTableQuestions

* Run make fixup and move test to folder

* Fix quality

* Apply suggestions from code review

* Apply suggestions from code review
Co-authored-by: default avatarSuraj Patil <surajp815@gmail.com>

* Apply suggestions from code review

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

* Apply some more suggestions from code review

* Improve docstrings

* Overwrite failing test

* Improve comment in example scripts

* Fix rebase

* Add TAPEX to Auto mapping

* Add TAPEX to auto config mappings

* Put TAPEX higher than BART in auto mapping

* Add TAPEX to doc tests
Co-authored-by: default avatarNiels Rogge <nielsrogge@Nielss-MBP.localdomain>
Co-authored-by: default avatarSivilTaram <qianlxc@outlook.com>
Co-authored-by: default avatarNiels Rogge <nielsrogge@nielss-mbp.home>
Co-authored-by: default avatarSuraj Patil <surajp815@gmail.com>
Co-authored-by: default avatarSylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: default avatarNiels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
      4ef0abb7
  19. 07 Apr, 2022 2 commits
  21. 06 Apr, 2022 2 commits
  23. 05 Apr, 2022 2 commits
    • Matt's avatar
      Adding new train_step logic to make things less confusing for users (#15994) · 43540052
      Matt authored 
      

* Adding new train_step logic to make things less confusing for users

* DO NOT ASK WHY WE NEED THAT SUBCLASS

* Metrics now working, at least for single-output models with type annotations!

* Updates and TODOs for the new train_step

* Make fixup

* Temporary test workaround until T5 has types

* Temporary test workaround until T5 has types

* I think this actually works! Needs a lot of tests though

* MAke style/quality

* Revert changes to T5 tests

* Deleting the aforementioned unmentionable subclass

* Deleting the aforementioned unmentionable subclass

* Adding a Keras API test

* Style fixes

* Removing unneeded TODO and comments

* Update test_step too

* Stop trying to compute metrics with the dummy_loss, patch up test

* Make style

* make fixup

* Docstring cleanup

* make fixup

* make fixup

* Stop expanding 1D input tensors when using dummy loss

* Adjust T5 test given the new compile()

* make fixup

* Skipping test for convnext

* Removing old T5-specific Keras test now that we have a common one

* make fixup

* make fixup

* Only skip convnext test on CPU

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

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

* Avoiding TF import issues

* make fixup

* Update compile() to support TF 2.3

* Skipping model.fit() on template classes for now

* Skipping model.fit() on template class tests for now

* Replace ad-hoc solution with find_labels

* make fixup
Co-authored-by: default avatarSylvain Gugger <35901082+sgugger@users.noreply.github.com>
      43540052
    • Yih-Dar's avatar
      Fix CI: test_inference_for_pretraining in ViTMAEModelTest (#16591) · 765bafb8
      Yih-Dar authored 
      
Co-authored-by: default avatarydshieh <ydshieh@users.noreply.github.com>
      765bafb8
  25. 04 Apr, 2022 3 commits
  27. 01 Apr, 2022 1 commit