42 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
Matej Svejda	01ff4f82ba	learning rate problems in run_classifier.py	2019-01-22 23:40:06 +01:00
thomwolf	c9fd350567	remove default when action is store_true in arguments	2019-01-07 13:01:54 +01:00
Thomas Wolf	766c6b2ce3	Merge pull request #159 from jaderabbit/master ... Allow do_eval to be used without do_train and to use the pretrained model in the output folder	2019-01-07 12:31:06 +01:00
Thomas Wolf	77966a43a4	Merge pull request #156 from rodgzilla/cl_args_doc ... Adding new pretrained model to the help of the `bert_model` argument.	2019-01-07 12:27:16 +01:00
Jade Abbott	193e2df8ba	Remove rogue comment	2019-01-03 13:13:06 +02:00
Jade Abbott	c64de50ea4	nb_tr_steps is not initialized	2019-01-03 12:34:57 +02:00
Jade Abbott	b96149a19b	Training loss is not initialized if only do_eval is specified	2019-01-03 10:32:10 +02:00
Jade Abbott	be3b9bcf4d	Allow one to use the pretrained model in evaluation when do_train is not selected	2019-01-03 09:02:33 +02:00
Grégory Châtel	186f75342e	Adding new pretrained model to the help of the bert_model argument.	2019-01-02 14:00:59 +01:00
Jasdeep Singh	99709ee61d	loading saved model when n_classes != 2 ... Required to for: Assertion `t >= 0 && t < n_classes` failed, if your default number of classes is not 2.	2018-12-20 13:55:47 -08:00
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	0cf88ff084	make examples work without apex	2018-12-13 13:28:00 +01:00
thomwolf	d3fcec1a3e	add saving and loading model in examples	2018-12-13 12:50:44 +01:00
thomwolf	b3caec5a56	adding save checkpoint and loading in examples	2018-12-13 12:48:13 +01:00
Deyu Fu	c8ea286048	change to apex for better fp16 and multi-gpu support	2018-12-11 17:13:58 -08:00
Grégory Châtel	a994bf4076	Fixing related to issue #83.	2018-12-05 18:16:30 +01:00
Grégory Châtel	c6d9d5394e	Simplifying code for easier understanding.	2018-12-05 17:53:09 +01:00
Grégory Châtel	793262e8ec	Removing trailing whitespaces.	2018-12-05 17:52:39 +01:00
Davide Fiocco	e60e8a6068	Correct assignement for logits in classifier example ... I tried to address https://github.com/huggingface/pytorch-pretrained-BERT/issues/76 should be correct, but there's likely a more efficient way.	2018-12-02 12:38:26 +01:00
Davide Fiocco	dc13e276ee	Point typo fix	2018-12-01 01:02:16 +01:00
thomwolf	89d47230d7	clean up classification model output	2018-11-30 22:54:53 +01:00
thomwolf	0541442558	add do_lower_case in examples	2018-11-30 13:47:33 +01:00
Li Li	0aaedcc02f	Bug fix in examples;correct t_total for distributed training;run prediction for full dataset	2018-11-27 01:08:37 -08:00
thomwolf	32167cdf4b	remove convert_to_unicode and printable_text from examples	2018-11-26 23:33:22 +01:00
thomwolf	05053d163c	update cache_dir in readme and examples	2018-11-26 10:45:13 +01:00
Thomas Wolf	061eeca84a	Merge pull request #32 from xiaoda99/master ... Fix ineffective no_decay bug when using BERTAdam	2018-11-20 10:11:46 +01:00
thomwolf	2f21497d3e	fixing param.grad is None in fp16 examples	2018-11-20 10:01:21 +01:00
xiaoda99	6c4789e4e8	Fix ineffective no_decay bug	2018-11-18 16:16:21 +08:00
thomwolf	aa50fd196f	remove unused arguments in example scripts	2018-11-17 23:01:05 +01:00
thomwolf	47a7d4ec14	update examples from master	2018-11-17 12:21:35 +01:00
thomwolf	c8cba67742	clean up readme and examples	2018-11-17 12:19:16 +01:00
thomwolf	757750d6f6	fix tests	2018-11-17 11:58:14 +01:00
thomwolf	4e46affc34	updating examples	2018-11-17 10:30:54 +01:00
thomwolf	1de35b624b	preparing for first release	2018-11-15 20:56:10 +01:00