GitLab

* fix: verify jsonl in run_translation (#14660)

* fix(run_translation.py): json/jsonl validation

Both json and jsonl are to be accepted as valid jsonlines file extension

* fix(run_translation.py): make black happy

* Ran make style

* Replace outdated model tags with their now-canonical pipeline types

* spam the CI till it's green

* 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>

* add test for --config_overrides

* remove unneeded parts of the test

Add more XLS-R training runs to the official examples

* improve some stuff

* finish

* correct last

* Update postporcessing accordingly to use SQuAD metric.

* Update assets accordingly based on SQuAD metrics.

* Fix function naming error.

* up

* up

* fix

* up

* Update examples/pytorch/test_xla_examples.py

* correct labels

* up

* up

* up

* up

* up

* up

Updated masked-language modeling examples in pytorch
with convention defined by #12789

* specify the text column name in the error message

* pluralize the word fields

[Speech Recognition] - Distributed training: Make sure vocab file removal and creation don't interfer  (#14161)

* up

* better

* Add seq2seq example for QnA on SQuAD Dataset.

* Changes from review - Fixing styling mistakes.

* Added how to example in README, simplified the access to dataset's preprocess function.

* Added tests for the seq2seq QA example.

* Change dataset column name to fix tests.

* Fix test command mistake.

* Add missing argument 'ignore_pad_token_for_loss' from DataTrainingArguments.

* Add missing argument 'num_beams' from DataTrainingArguments.

* Fix processing of output predicted token ids so that tokenizer decode gets appropriate input. Updated assertion conditions on the tests.

last line: "# limitations under the License." is missing

* Update SEW integration test tolerance

* Add audio classification notebooks

* up

* Update notebooks/README.md

* Update SEW integration test tolerance

* Update audio classification

* Update test

* Remove torchaudio

* Add dataset revision

* Hub branch naming

* Revert dataset revisions

* Update datasets

* up

* up

* up

* finish