Commits · 1579c5363566a6d39fe901ddcc80a3581aad2461 · chenpangpang / transformers

05 Feb, 2019 1 commit
- more explicit notation: num_train_step => num_train_optimization_steps · 1579c536
  thomwolf authored Feb 05, 2019
  
  1579c536
30 Jan, 2019 1 commit
- make examples consistent, revert error in num_train_steps calculation · 51690699
  Matej Svejda authored Jan 30, 2019
  
  51690699
27 Jan, 2019 1 commit
- fix learning rate/fp16 and warmup problem for all examples · 9c6a48c8
  Matej Svejda authored Jan 27, 2019
  
  9c6a48c8
13 Jan, 2019 1 commit

nhatchan authored Jan 13, 2019

dicts are not ordered in Python 3.5 or prior, which is a cause of #175.
This PR replaces one with a list, to keep its order.

6c65cb24

11 Jan, 2019 1 commit
- add do_lower_case arg and adjust model saving for lm finetuning. · 506e5bb0
  tholor authored Jan 11, 2019
  
  506e5bb0
07 Jan, 2019 2 commits
- add do_lower_case tokenizer loading optino in run_squad and ine_tuning examples · 2e4db64c
  thomwolf authored Jan 07, 2019
  
  2e4db64c
- remove default when action is store_true in arguments · c9fd3505
  thomwolf authored Jan 07, 2019
  
  c9fd3505
20 Dec, 2018 1 commit
- add exemplary training data. update to nvidia apex. refactor 'item -> line in... · e5fc98c5
  tholor authored Dec 20, 2018
```
add exemplary training data. update to nvidia apex. refactor 'item -> line in doc' mapping. add warning for unknown word.
```
  e5fc98c5
18 Dec, 2018 1 commit

deepset authored Dec 18, 2018

Adds an example for loading a pre-trained BERT model and fine tune it as a language model (masked tokens & nextSentence) on your target corpus.

a58361f1