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Author SHA1 Message Date
VictorSanh d0f591051c gpt_hubconf 2019-05-31 00:28:10 -04:00
VictorSanh 4a210c9fc6 Move bert_hubconf to hubconfs 2019-05-31 00:28:00 -04:00
VictorSanh 0c5a4fe9c9 modify from_pretrained for OpenAIGPT 2019-05-31 00:27:18 -04:00
VictorSanh 372a5c1cee Hubconf doc - Specia case loading 2019-05-30 16:06:21 -04:00
Victor SANH 96592b544b default in __init__s for classification BERT models (#650) 2019-05-30 15:53:13 -04:00
VictorSanh 4cda86b08f Update hubconf for torchhub: paths+examples+doc 2019-05-30 18:38:00 +00:00
Colanim 1eba8b9d96 Fix link in README 2019-05-30 14:01:46 +09:00
Ahmad Barqawi c4fe56dcc0 support latest multi language bert fine tune 
fix issue of bert-base-multilingual and add support for uncased multilingual
 2019-05-27 11:27:41 +02:00
tguens 9e7bc51b95 Update run_squad.py 
Indentation change so that the output "nbest_predictions.json" is not empty.
 2019-05-22 17:27:59 +08:00
samuelbroscheit 94247ad6cb Make num_train_optimization_steps int 2019-05-13 12:38:22 +02:00
samuel.broscheit 49a77ac16f Clean up a little bit 2019-05-12 00:31:10 +02:00
samuel.broscheit 3bf3f9596f Fixing the issues reported in https://github.com/huggingface/pytorch-pretrained-BERT/issues/556 
Reason for issue was that optimzation steps where computed from example size, which is different from actual size of dataloader when an example is chunked into multiple instances.

Solution in this pull request is to compute num_optimization_steps directly from len(data_loader).
 2019-05-12 00:13:45 +02:00
Thomas Wolf 3fc63f126d Merge pull request #598 from burcturkoglu/master 
Updating learning rate with special warm up in examples
 2019-05-10 13:48:12 +02:00
burcturkoglu 00c7fd2b79 Division to num_train_optimizer of global_step in lr_this_step is removed. 2019-05-09 10:57:03 +03:00
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
thomwolf 275179a003 output attentions in GPT-2 2019-05-08 22:24:42 +02:00
thomwolf 366a3b0285 clean up in tokenization 2019-05-08 21:43:51 +02:00
Thomas Wolf 701bd59b8b Merge pull request #585 from huntzhan/master 
Make the epsilon of LayerNorm configurable.
 2019-05-08 16:56:38 +02:00
Thomas Wolf 303b5e2b92 Merge pull request #545 from ailzhang/cache_dir 
move pytroch_pretrained_bert cache folder under same path as torch
 2019-05-08 16:55:27 +02:00
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
Thomas Wolf 50fa92c026 Merge pull request #571 from MottoX/patch-1 
Fix documentation typo
 2019-05-08 16:06:13 +02:00
thomwolf 0efc4ab632 adding dropout to GPT-2 and embedding dropout to GPT 2019-05-08 10:41:35 +02:00
thomwolf ea9dbea9d5 update GPT2 loss computation for more flexbility 2019-05-07 23:27:18 +02:00
thomwolf ce86336545 add predict_special_tokens option to GPT also 2019-05-07 16:47:22 +02:00
thomwolf d1b6979aa5 GPT-2 option to avoid predicting special tokens 2019-05-07 16:25:53 +02:00
huntzhan 101ab4dd8e Make the epsilon of LayerNorm configurable. 2019-05-06 00:26:21 +08:00
thomwolf e211785ada extract attention weights from GPT 2019-05-02 18:31:26 +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
thomwolf db98a4a48b gpt-2 tokenizer 2019-05-01 11:40:48 +02:00
Thomas Wolf 3ae8c8be1e Merge pull request #562 from apappu97/roc_stories_lmlabels_fix 
Small fix to remove shifting of lm labels during pre process of RocStories.
 2019-05-01 11:20:17 +02:00
Thomas Wolf e89520175d Merge pull request #564 from 8enmann/patch-2 
Fix #537
 2019-05-01 11:18:46 +02:00
Ben Mann 74f7906db4 Fix #537 2019-04-30 19:48:22 -07:00
Aneesh Pappu 365fb34c6c small fix to remove shifting of lm labels during pre process of roc stories, as this shifting happens interanlly in the model 2019-04-30 13:53:04 -07:00
thomwolf cd110835a0 coverage in circle-ci 2019-04-30 11:35:40 +02:00
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
thomwolf 80f53f7380 gpt-2 from_pretrained can use special tokens 2019-04-30 11:10:22 +02:00
thomwolf e79ceb1533 gpt-2 special tokens 2019-04-30 11:05:54 +02:00
thomwolf 1f5fc95b68 add code coverage 2019-04-30 11:05:26 +02:00
thomwolf c30139a013 add special tokens to gpt-2 2019-04-30 10:45:26 +02:00
Mathieu Prouveur 87b9ec3843 Fix tr_loss rescaling factor using global_step 2019-04-29 12:58:29 +02:00
Ailing Zhang 3963d57c89 move pytroch_pretrained_bert cache folder under same path as torch 2019-04-27 11:09:11 -07:00
thomwolf b832d5bb8a Release: 0.6.2 v0.6.2 2019-04-25 21:37:47 +02:00
Thomas Wolf e6cf62d499 Merge pull request #488 from dhpollack/fix_multichoice 
fixed BertForMultipleChoice model init and forward pass
 2019-04-25 21:04:16 +02:00
Thomas Wolf 1cc1c3c344 Merge pull request #533 from lukovnikov/master 
Docs for new learning rate code
 2019-04-25 21:02:35 +02:00
Thomas Wolf dee8af4e46 Merge pull request #518 from huggingface/schedules_in_examples 
Fix training schedules in examples to match new API
 2019-04-25 21:01:04 +02:00
lukovnikov 56a47ce2b7 - replaced OpenAIGPTAdam with OpenAIAdam in docs 2019-04-25 16:05:28 +02:00
lukovnikov 331a46ff04 - replaced OpenAIGPTAdam with OpenAIAdam in docs 2019-04-25 16:04:37 +02:00
lukovnikov 704037ad51 - updated docs for new LR API 
- added some images for illustration
- updated comments in optimization
 2019-04-25 15:59:39 +02:00