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67 Commits
Author SHA1 Message Date
burcturkoglu fa37b4da77 Merge branch 'master' of https://github.com/huggingface/pytorch-pretrained-BERT 2019-05-09 10:55:24 +03:00
burcturkoglu 5289b4b9e0 Division to num_train_optimizer of global_step in lr_this_step is removed. 2019-05-09 10:51:38 +03:00
Thomas Wolf 0198399d84 Merge pull request #570 from MottoX/fix-1 
Create optimizer only when args.do_train is True
 2019-05-08 16:07:50 +02:00
MottoX 18c8aef9d3 Fix documentation typo 2019-05-02 19:23:36 +08:00
MottoX 74dbba64bc Prepare optimizer only when args.do_train is True 2019-05-02 19:09:29 +08:00
Thomas Wolf 2dee86319d Merge pull request #527 from Mathieu-Prouveur/fix_value_training_loss 
Update example files so that tr_loss is not affected by args.gradient…
 2019-04-30 11:12:55 +02:00
Mathieu Prouveur 87b9ec3843 Fix tr_loss rescaling factor using global_step 2019-04-29 12:58:29 +02:00
Mathieu Prouveur ed8fad7390 Update example files so that tr_loss is not affected by args.gradient_accumulation_step 2019-04-24 14:07:00 +02:00
thomwolf d94c6b0144 fix training schedules in examples to match new API 2019-04-23 11:17:06 +02:00
Thomas Wolf 3d78e226e6 Merge pull request #489 from huggingface/tokenization_serialization 
Better serialization for Tokenizers and Configuration classes - Also fix #466
 2019-04-16 08:49:54 +02:00
thomwolf 3571187ef6 fix saving models in distributed setting examples 2019-04-15 16:43:56 +02:00
thomwolf 1135f2384a clean up logger in examples for distributed case 2019-04-15 15:22:40 +02:00
thomwolf 60ea6c59d2 added best practices for serialization in README and examples 2019-04-15 15:00:33 +02:00
thomwolf 179a2c2ff6 update example to work with new serialization semantic 2019-04-15 14:33:23 +02:00
Jie Yang c49ce3c722 fix tsv read error in Windows 2019-04-11 15:40:19 -04:00
Weixin Wang d07db28f52 Fix typo in example code 
Modify 'unambigiously' to 'unambiguously'
 2019-03-31 01:20:18 +08:00
Ananya Harsh Jha e5b63fb542 Merge branch 'master' of https://github.com/ananyahjha93/pytorch-pretrained-BERT 
pull current master to local
 2019-03-17 08:30:13 -04:00
Ananya Harsh Jha 8a4e90ff40 corrected folder creation error for MNLI-MM, verified GLUE results 2019-03-17 08:16:50 -04:00
Ananya Harsh Jha e0bf01d9a9 added hack for mismatched MNLI 2019-03-16 14:10:48 -04:00
Ananya Harsh Jha 4c721c6b6a added eval time metrics for GLUE tasks 2019-03-15 23:21:24 -04:00
Ananya Harsh Jha 043c8781ef added code for all glue task processors 2019-03-14 04:24:04 -04:00
Yongbo Wang 22a465a91f Simplify code, delete redundancy line 
delete redundancy line `if args.train`, simplify code.
 2019-03-13 09:42:06 +08:00
thomwolf 994d86609b fixing PYTORCH_PRETRAINED_BERT_CACHE use in examples 2019-03-06 10:21:24 +01:00
thomwolf 5c85fc3977 fix typo - logger info 2019-03-06 10:05:21 +01:00
John Lehmann 0f96d4b1f7 Run classifier processor for SST-2. 2019-03-05 13:38:28 -06:00
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