Matej Svejda
|
9c6a48c8c3
|
fix learning rate/fp16 and warmup problem for all examples
|
2019-01-27 14:07:24 +01:00 |
|
nhatchan
|
6c65cb2492
|
lm_finetuning compatibility with Python 3.5
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.
|
2019-01-13 21:09:13 +09:00 |
|
tholor
|
506e5bb0c8
|
add do_lower_case arg and adjust model saving for lm finetuning.
|
2019-01-11 08:32:46 +01:00 |
|
thomwolf
|
2e4db64cab
|
add do_lower_case tokenizer loading optino in run_squad and ine_tuning examples
|
2019-01-07 13:06:42 +01:00 |
|
thomwolf
|
c9fd350567
|
remove default when action is store_true in arguments
|
2019-01-07 13:01:54 +01:00 |
|
tholor
|
e5fc98c542
|
add exemplary training data. update to nvidia apex. refactor 'item -> line in doc' mapping. add warning for unknown word.
|
2018-12-20 18:30:52 +01:00 |
|
deepset
|
a58361f197
|
Add example for fine tuning BERT language model (#1)
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.
|
2018-12-18 10:32:25 +01:00 |
|