transformers/examples/summarization
Julien Chaumond dd9d483d03
Trainer (#3800)
* doc

* [tests] Add sample files for a regression task

* [HUGE] Trainer

* Feedback from @sshleifer

* Feedback from @thomwolf + logging tweak

* [file_utils] when downloading concurrently, get_from_cache will use the cached file for subsequent processes

* [glue] Use default max_seq_length of 128 like before

* [glue] move DataTrainingArguments around

* [ner] Change interface of InputExample, and align run_{tf,pl}

* Re-align the pl scripts a little bit

* ner

* [ner] Add integration test

* Fix language_modeling with API tweak

* [ci] Tweak loss target

* Don't break console output

* amp.initialize: model must be on right device before

* [multiple-choice] update for Trainer

* Re-align to 827d6d6ef0
2020-04-21 20:11:56 -04:00
..
bart Trainer (#3800) 2020-04-21 20:11:56 -04:00
bertabs [BertAbs] Move files around for more consistent naming 2020-03-23 13:58:49 -04:00
t5 [examples] summarization/bart/finetune.py supports t5 (#3824) 2020-04-16 15:15:19 -04:00
__init__.py Summarization Examples: add Bart CNN Evaluation (#3082) 2020-03-03 15:29:59 -05:00