20 Commits

Author	SHA1	Message	Date
thomwolf	eebc8abbe2	clarify and unify model saving logic in examples	2019-02-11 14:04:19 +01:00
Thomas Wolf	848aae49e1	Merge branch 'master' into python_2	2019-02-06 00:13:20 +01:00
thomwolf	448937c00d	python 2 compatibility	2019-02-06 00:07:46 +01:00
thomwolf	1579c53635	more explicit notation: num_train_step => num_train_optimization_steps	2019-02-05 15:36:33 +01:00
Matej Svejda	5169069997	make examples consistent, revert error in num_train_steps calculation	2019-01-30 11:47:25 +01:00
Matej Svejda	9c6a48c8c3	fix learning rate/fp16 and warmup problem for all examples	2019-01-27 14:07:24 +01:00
thomwolf	c9fd350567	remove default when action is store_true in arguments	2019-01-07 13:01:54 +01:00
Grégory Châtel	186f75342e	Adding new pretrained model to the help of the bert_model argument.	2019-01-02 14:00:59 +01:00
thomwolf	ae88eb88a4	set encoding to 'utf-8' in calls to open	2018-12-14 13:48:58 +01:00
thomwolf	e1eab59aac	no fp16 on evaluation	2018-12-13 14:54:02 +01:00
thomwolf	087798b7fa	fix reloading model for evaluation in examples	2018-12-13 14:48:12 +01:00
thomwolf	0f544625f4	fix swag example for work with apex	2018-12-13 13:35:59 +01:00
Grégory Châtel	df34f22854	Removing the dependency to pandas and using the csv module to load data.	2018-12-10 17:45:23 +01:00
Grégory Châtel	d429c15f25	Removing old code from copy-paste.	2018-12-06 19:19:21 +01:00
Grégory Châtel	63c45056aa	Finishing the code for the Swag task.	2018-12-06 18:53:05 +01:00
Grégory Châtel	c45d8ac554	Storing the feature of each choice as a dict for readability.	2018-12-06 16:01:28 +01:00
Grégory Châtel	0812aee2c3	Fixing problems in convert_examples_to_features.	2018-12-06 15:53:07 +01:00
Grégory Châtel	f2b873e995	convert_examples_to_features code and small improvements.	2018-12-06 15:40:47 +01:00
Grégory Châtel	83fdbd6043	Adding read_swag_examples to load the dataset.	2018-12-06 14:02:46 +01:00
Grégory Châtel	7183cded4e	SwagExample class.	2018-12-06 13:39:44 +01:00