riaz.somc/transformers
1
0
Fork 0
mirror of https://github.com/huggingface/transformers.git synced 2025-07-15 10:38:23 +06:00
Code Issues Actions 16 Packages Projects Releases Wiki Activity
1,826 Commits 864 Branches 226 Tags 2 GiB
f5891c3821
Commit Graph

481 Commits

Author SHA1 Message Date
Julien Chaumond
baf08ca1d4 [RoBERTa] run_glue: correct pad_token + reorder labels 2019-08-13 12:51:15 -04:00
tuvuumass
ba4bce2581
fix issue #824 2019-08-13 11:26:27 -04:00
Julien Chaumond
912fdff899 [RoBERTa] Update run_glue for RoBERTa 2019-08-12 13:49:50 -04:00
erenup
b219029c45 refactoring old run_swag. This script is mainly refatored from run_squad in pytorch_transformers 2019-08-11 15:20:37 +08:00
Thomas Wolf
b4f9464f90
Merge pull request #960 from ethanjperez/patch-1 
Fixing unused weight_decay argument
 2019-08-07 10:09:55 +02:00
Thomas Wolf
d43dc48b34
Merge branch 'master' into auto_models 2019-08-05 19:17:35 +02:00
thomwolf
70c10caa06 add option mentioned in #940 2019-08-05 17:09:37 +02:00
thomwolf
b90e29d52c working on automodels 2019-08-05 16:06:34 +02:00
Ethan Perez
28ba345ecc
Fixing unused weight_decay argument 
Currently the L2 regularization is hard-coded to "0.01", even though there is a --weight_decay flag implemented (that is unused). I'm making this flag control the weight decay used for fine-tuning in this script.
 2019-08-04 12:31:46 -04:00
Thomas Wolf
c054b5ee64
Merge pull request #896 from zijunsun/master 
fix multi-gpu training bug when using fp16
 2019-07-26 19:31:02 +02:00
zijunsun
f0aeb7a814 multi-gpu training also should be after apex fp16（squad） 2019-07-26 15:23:29 +08:00
zijunsun
adb3ef6368 multi-gpu training also should be after apex fp16 2019-07-25 13:09:10 +08:00
Chi-Liang Liu
a7fce6d917 fix squad v1 error (na_prob_file should be None) 2019-07-24 16:11:36 +08:00
thomwolf
6070b55443 fix #868 2019-07-23 17:46:01 +02:00
thomwolf
2c9a3115b7 fix #858 2019-07-23 16:45:55 +02:00
Thomas Wolf
268c6cc160
Merge pull request #845 from rabeehk/master 
fixed version issues in run_openai_gpt
 2019-07-23 15:29:31 +02:00
Peiqin Lin
76be189b08 typos 2019-07-21 20:39:42 +08:00
Rabeeh KARIMI
f63ff536ad fixed version issues in run_openai_gpt 2019-07-20 12:43:07 +02:00
Thomas Wolf
a615499076
Merge pull request #797 from yzy5630/fix-examples 
fix some errors for distributed lm_finetuning
 2019-07-18 23:32:33 +02:00
yzy5630
a1fe4ba9c9 use new API for save and load 2019-07-18 15:45:23 +08:00
yzy5630
a7ba27b1b4 add parser for adam 2019-07-18 08:52:51 +08:00
yzy5630
d6522e2873 change loss and optimizer to new API 2019-07-17 21:22:34 +08:00
thomwolf
71d597dad0 fix #800 2019-07-17 13:51:09 +02:00
yzy5630
123da5a2fa fix errors for lm_finetuning examples 2019-07-17 09:56:07 +08:00
yzy5630
60a1bdcdac fix some errors for distributed lm_finetuning 2019-07-17 09:16:20 +08:00
thomwolf
e848b54730 fix #792 2019-07-16 21:22:19 +02:00
thomwolf
1849aa7d39 update readme and pretrained model weight files 2019-07-16 15:11:29 +02:00
thomwolf
f31154cb9d Merge branch 'xlnet' 2019-07-16 11:51:13 +02:00
thomwolf
76da9765b6 fix run_generation test 2019-07-15 17:52:35 +02:00
thomwolf
e691fc0963 update QA models tests + run_generation 2019-07-15 17:45:24 +02:00
thomwolf
15d8b1266c update tokenizer - update squad example for xlnet 2019-07-15 17:30:42 +02:00
thomwolf
3b469cb422 updating squad for compatibility with XLNet 2019-07-15 15:28:37 +02:00
thomwolf
0e9825e252 small fix to run_glue 2019-07-14 23:43:28 +02:00
thomwolf
2397f958f9 updating examples and doc 2019-07-14 23:20:10 +02:00
thomwolf
c490f5ce87 added generation examples in tests 2019-07-13 15:26:58 +02:00
thomwolf
7d4b200e40 good quality generation example for GPT, GPT-2, Transfo-XL, XLNet 2019-07-13 15:25:03 +02:00
thomwolf
7322c314a6 remove python2 testing for examples 2019-07-12 14:24:08 +02:00
thomwolf
936e813c84 clean up examples - added squad example and test 2019-07-12 14:16:06 +02:00
thomwolf
762ded9b1c wip examples 2019-07-12 11:28:52 +02:00
LysandreJik
3821ecbf4a Byte order mark management in TSV glue reading. 2019-07-11 20:16:28 -04:00
thomwolf
c6bf1a400d fix test examples et model pretrained 2019-07-11 22:29:08 +02:00
thomwolf
92a782b108 fix run_glue test 2019-07-11 22:20:10 +02:00
thomwolf
ccb6947dc1 optimization tests 2019-07-11 17:39:47 +02:00
thomwolf
b21d84b027 update examples 2019-07-11 15:37:34 +02:00
thomwolf
ec07cf5a66 rewamp optimization 2019-07-11 14:48:22 +02:00
thomwolf
4fef5919a5 updating examples 2019-07-11 12:03:08 +02:00
thomwolf
50b7e52a7f WIP examples 2019-07-10 15:33:34 +02:00
thomwolf
ed6c8d37f4 fix merge 2019-07-09 17:14:52 +02:00
thomwolf
4ce237c880 update run_glue 2019-07-09 17:00:32 +02:00
thomwolf
3b7cb7bf44 small update to run_glue 2019-07-09 16:12:15 +02:00
thomwolf
d0efbd3cd1 update sequencesummary module 2019-07-09 15:46:43 +02:00
thomwolf
d5481cbe1b adding tests to examples - updating summary module - coverage update 2019-07-09 15:29:42 +02:00
thomwolf
b19786985d unified tokenizer api and serialization + tests 2019-07-09 10:25:18 +02:00
thomwolf
3d5f291386 updates to run_glue 2019-07-05 17:22:15 +02:00
thomwolf
99b90edab1 cleaning up run_glue example 2019-07-05 17:09:35 +02:00
thomwolf
1113f97f33 clean up glue example 2019-07-05 16:31:13 +02:00
thomwolf
162ba383b0 fix model loading 2019-07-05 15:57:14 +02:00
thomwolf
36bca545ff tokenization abstract class - tests for examples 2019-07-05 15:02:59 +02:00
Thomas Wolf
78462aad61
Merge pull request #733 from ceremonious/parallel-generation 
Added option to use multiple workers to create training data
 2019-07-05 12:04:30 +02:00
thomwolf
0bab55d5d5 [BIG] name change 2019-07-05 11:55:36 +02:00
thomwolf
c41f2bad69 WIP XLM + refactoring 2019-07-03 22:54:39 +02:00
Lei Mao
64b2a828c0 fix evaluation bug 2019-07-01 14:56:24 -07:00
thomwolf
2b56e98892 standardizing API across models - XLNetForSeqClass working 2019-06-28 16:35:09 +02:00
thomwolf
3a00674cbf fix imports 2019-06-27 17:18:46 +02:00
Mayhul Arora
08ff056c43 Added option to use multiple workers to create training data for lm fine tuning 2019-06-26 16:16:12 -07:00
thomwolf
59cefd4f98 fix #726 - get_lr in examples 2019-06-26 11:28:27 +02:00
thomwolf
092dacfd62 changing is_regression to unified API 2019-06-26 09:54:05 +02:00
thomwolf
e55d4c4ede various updates to conversion, models and examples 2019-06-26 00:57:53 +02:00
thomwolf
7334bf6c21 pad on left for xlnet 2019-06-24 15:05:11 +02:00
thomwolf
c888663f18 overwrite output directories if needed 2019-06-24 14:38:24 +02:00
thomwolf
62d78aa37e updating GLUE utils for compatibility with XLNet 2019-06-24 14:36:11 +02:00
thomwolf
24ed0b9346 updating run_xlnet_classifier 2019-06-24 12:00:09 +02:00
thomwolf
f6081f2255 add xlnetforsequence classif and run_classifier example for xlnet 2019-06-24 10:01:07 +02:00
Rocketknight1
c7b2808ed7 Update LM finetuning README to include a literature reference 2019-06-22 15:04:01 +01:00
thomwolf
181075635d updating model loading and adding special tokens ids 2019-06-21 23:23:37 +02:00
thomwolf
ebd2cb8d74 update from_pretrained to load XLNetModel as well 2019-06-21 21:08:44 +02:00
thomwolf
edfe91c36e first version bertology ok 2019-06-19 23:43:04 +02:00
thomwolf
7766ce66dd update bertology 2019-06-19 22:29:51 +02:00
thomwolf
e4b46d86ce update head pruning 2019-06-19 22:16:30 +02:00
thomwolf
0f40e8d6a6 debugger 2019-06-19 15:38:46 +02:00
thomwolf
0e1e8128bf more logging 2019-06-19 15:35:49 +02:00
thomwolf
909d4f1af2 cuda again 2019-06-19 15:32:10 +02:00
thomwolf
14f0e8e557 fix cuda 2019-06-19 15:29:28 +02:00
thomwolf
34d706a0e1 pruning in bertology 2019-06-19 15:25:49 +02:00
thomwolf
dc8e0019b7 updating examples 2019-06-19 13:23:20 +02:00
thomwolf
68ab9599ce small fix and updates to readme 2019-06-19 09:38:38 +02:00
thomwolf
f7e2ac01ea update barrier 2019-06-18 22:43:35 +02:00
thomwolf
4d8c4337ae test barrier in distrib training 2019-06-18 22:41:28 +02:00
thomwolf
3359955622 updating run_classif 2019-06-18 22:23:10 +02:00
thomwolf
29b7b30eaa updating evaluation on a single gpu 2019-06-18 22:20:21 +02:00
thomwolf
7d2001aa44 overwrite_output_dir 2019-06-18 22:13:30 +02:00
thomwolf
16a1f338c4 fixing 2019-06-18 17:06:31 +02:00
thomwolf
92e0ad5aba no numpy 2019-06-18 17:00:52 +02:00
thomwolf
4e6edc3274 hop 2019-06-18 16:57:15 +02:00
thomwolf
f55b60b9ee fixing again 2019-06-18 16:56:52 +02:00
thomwolf
8bd9118294 quick fix 2019-06-18 16:54:41 +02:00
thomwolf
3e847449ad fix out_label_ids 2019-06-18 16:53:31 +02:00
thomwolf
aad3a54e9c fix paths 2019-06-18 16:48:04 +02:00
thomwolf
40dbda6871 updating classification example 2019-06-18 16:45:52 +02:00
thomwolf
7388c83b60 update run_classifier for distributed eval 2019-06-18 16:32:49 +02:00
thomwolf
9727723243 fix pickle 2019-06-18 16:02:42 +02:00
thomwolf
9710b68dbc fix pickles 2019-06-18 16:01:15 +02:00
thomwolf
15ebd67d4e cache in run_classifier + various fixes to the examples 2019-06-18 15:58:22 +02:00
thomwolf
e6e5f19257 fix 2019-06-18 14:45:14 +02:00
thomwolf
a432b3d466 distributed traing t_total 2019-06-18 14:39:09 +02:00
thomwolf
c5407f343f split squad example in two 2019-06-18 14:29:03 +02:00
thomwolf
335f57baf8 only on main process 2019-06-18 14:03:46 +02:00
thomwolf
326944d627 add tensorboard to run_squad 2019-06-18 14:02:42 +02:00
thomwolf
d82e5deeb1 set find_unused_parameters=True in DDP 2019-06-18 12:13:14 +02:00
thomwolf
a59abedfb5 DDP update 2019-06-18 12:06:26 +02:00
thomwolf
2ef5e0de87 switch to pytorch DistributedDataParallel 2019-06-18 12:03:13 +02:00
thomwolf
9ce37af99b oups 2019-06-18 11:47:54 +02:00
thomwolf
a40955f071 no need to duplicate models anymore 2019-06-18 11:46:14 +02:00
thomwolf
382e2d1e50 spliting config and weight files for bert also 2019-06-18 10:37:16 +02:00
Thomas Wolf
cad88e19de
Merge pull request #672 from oliverguhr/master 
Add vocabulary and model config to the finetune output
 2019-06-14 17:02:47 +02:00
Thomas Wolf
460d9afd45
Merge pull request #640 from Barqawiz/master 
Support latest multi language bert fine tune
 2019-06-14 16:57:02 +02:00
Thomas Wolf
277c77f1c5
Merge pull request #630 from tguens/master 
Update run_squad.py
 2019-06-14 16:56:26 +02:00
Thomas Wolf
659af2cbd0
Merge pull request #604 from samuelbroscheit/master 
Fixing issue "Training beyond specified 't_total' steps with schedule 'warmup_linear'" reported in #556
 2019-06-14 16:49:24 +02:00
Meet Pragnesh Shah
e02ce4dc79
[hotfix] Fix frozen pooler parameters in SWAG example. 2019-06-11 15:13:53 -07:00
Oliver Guhr
5c08c8c273 adds the tokenizer + model config to the output 2019-06-11 13:46:33 +02:00
jeonsworld
a3a604cefb
Update pregenerate_training_data.py 
apply Whole Word Masking technique.
referred to [create_pretraining_data.py](https://github.com/google-research/bert/blob/master/create_pretraining_data.py)
 2019-06-10 12:17:23 +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
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
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
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
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
c36cca075a
Merge pull request #515 from Rocketknight1/master 
Fix --reduce_memory in finetune_on_pregenerated
 2019-04-23 10:30:23 +02:00
Matthew Carrigan
b8e2a9c584 Made --reduce_memory actually do something in finetune_on_pregenerated 2019-04-22 14:01:48 +01:00
Sangwhan Moon
14b1f719f4 Fix indentation weirdness in GPT-2 example. 2019-04-22 02:20:22 +09:00
Thomas Wolf
8407429d74
Merge pull request #494 from SudoSharma/patch-1 
Fix indentation for unconditional generation
 2019-04-17 11:11:36 +02:00
Ben Mann
87677fcc4d
[run_gpt2.py] temperature should be a float, not int 2019-04-16 15:23:21 -07:00
Abhi Sharma
07154dadb4
Fix indentation for unconditional generation 2019-04-16 11:11:49 -07:00
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
2499b0a5fc add ptvsd to run_squad 2019-04-15 15:33:04 +02:00
thomwolf
7816f7921f clean up distributed training logging in run_squad example 2019-04-15 15:27:10 +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
thomwolf
3e65f255dc add serialization semantics to tokenizers - fix transfo-xl tokenizer 2019-04-15 11:47:25 +02:00
Thomas Wolf
aff44f0c08
Merge branch 'master' into master 2019-04-15 10:58:34 +02:00
Thomas Wolf
bb61b747df
Merge pull request #474 from jiesutd/master 
Fix tsv read error in Windows
 2019-04-15 10:56:48 +02:00
Matthew Carrigan
dbbd6c7500 Replaced some randints with cleaner randranges, and added a helpful 
error for users whose corpus is just one giant document.
 2019-04-12 15:07:58 +01:00
Thomas Wolf
616743330e
Merge pull request #462 from 8enmann/master 
fix run_gpt2.py
 2019-04-11 21:54:46 +02:00
Thomas Wolf
2cdfb8b254
Merge pull request #467 from yaroslavvb/patch-2 
Update README.md
 2019-04-11 21:53:23 +02:00
Jie Yang
c49ce3c722 fix tsv read error in Windows 2019-04-11 15:40:19 -04:00
thomwolf
4bc4c69af9 finetuning any BERT model - fixes #455 2019-04-11 16:57:59 +02:00
Yaroslav Bulatov
8fffba5f47
Update README.md 
Fix for

```> > > > 04/09/2019 21:39:38 - INFO - __main__ -   device: cuda n_gpu: 1, distributed training: False, 16-bits training: False
Traceback (most recent call last):
  File "/home/ubuntu/pytorch-pretrained-BERT/examples/lm_finetuning/simple_lm_finetuning.py", line 642, in <module>
    main()
  File "/home/ubuntu/pytorch-pretrained-BERT/examples/lm_finetuning/simple_lm_finetuning.py", line 502, in main
    raise ValueError("Training is currently the only implemented execution option. Please set `do_train`.")
ValueError: Training is currently the only implemented execution option. Please set `do_train`.
```
 2019-04-09 14:45:47 -07:00
Benjamin Mann
fd8a3556f0 fix run_gpt2.py 2019-04-08 17:20:35 -07:00
Dhanajit Brahma
6c4c7be282 Merge remote-tracking branch 'upstream/master' 2019-04-07 16:59:36 +05:30
Dhanajit Brahma
4d3cf0d602 removing some redundant lines 2019-04-07 16:59:07 +05:30
Thomas Wolf
9ca25ce828
Merge pull request #427 from jeonsworld/patch-1 
fix sample_doc
 2019-04-03 11:26:58 +02:00
thomwolf
846b1fd6f8 Fix #419 2019-04-03 10:50:38 +02:00
Thomas Wolf
2f80dbbc0d
Merge pull request #430 from MottoX/master 
Fix typo in example code
 2019-04-02 10:41:56 +02:00
Mike Arpaia
8b5c63e4de Fixes to the TensorFlow conversion tool 2019-04-01 13:17:54 -06:00
Weixin Wang
d07db28f52
Fix typo in example code 
Modify 'unambigiously' to 'unambiguously'
 2019-03-31 01:20:18 +08:00
jeonsworld
60005f464d
Update pregenerate_training_data.py 
If the value of rand_end is returned from the randint function, the value of sampled_doc_index that matches current_idx is returned from searchsorted.

example:
cumsum_max = {int64} 30
doc_cumsum = {ndarray} [ 5  7 11 19 30]
doc_lengths = {list} <class 'list'>: [5, 2, 4, 8, 11]
if current_idx  = 1,
rand_start = 7
rand_end = 35
sentence_index = randint(7, 35) % cumsum_max
if randint return 35, sentence_index becomes 5.
if sentence_index is 5, np.searchsorted returns 1 equal to current_index.
 2019-03-30 14:50:17 +09:00
dhanajitb
f872eb98c2
making unconditional generation work 
The unconditional generation works now but if the seed is fixed, the sample is the same every time.
n_samples > 1 will give different samples though.
I am giving the start token as '<|endoftext|>' for the unconditional generation.
 2019-03-28 22:46:15 +05:30
Thomas Wolf
694e2117f3
Merge pull request #388 from ananyahjha93/master 
Added remaining GLUE tasks to 'run_classifier.py'
 2019-03-28 09:06:53 +01:00
Thomas Wolf
cc8c2d2332
Merge pull request #396 from IndexFziQ/IndexFziQ 
add tqdm to the process of eval in examples/run_swag.py
 2019-03-27 12:03:26 +01:00
thomwolf
361aff6de5 typos 2019-03-27 11:54:59 +01:00
thomwolf
cea8ba1d59 adjusted formating and some wording in the readme 2019-03-27 11:53:44 +01:00
Matthew Carrigan
24e67fbf75 Minor README update 2019-03-25 12:33:30 +00:00
Matthew Carrigan
8d1d1ffde2 Corrected the displayed loss when gradient_accumulation_steps > 1 2019-03-25 12:15:19 +00:00
Matthew Carrigan
abb7d1ff6d Added proper context management to ensure cleanup happens in the right 
order.
 2019-03-21 17:50:03 +00:00
Matthew Carrigan
06a30cfdf3 Added a --reduce_memory option to the training script to keep training 
data on disc as a memmap rather than in memory
 2019-03-21 17:04:12 +00:00
Matthew Carrigan
7d1ae644ef Added a --reduce_memory option to the training script to keep training 
data on disc as a memmap rather than in memory
 2019-03-21 17:02:18 +00:00
Matthew Carrigan
2bba7f810e Added a --reduce_memory option to shelve docs to disc instead of keeping them in memory. 2019-03-21 16:50:16 +00:00
Matthew Carrigan
8733ffcb5e Removing a couple of other old unnecessary comments 2019-03-21 14:09:57 +00:00
Matthew Carrigan
8a861048dd Fixed up the notes on a possible future low-memory path 2019-03-21 14:08:39 +00:00
Matthew Carrigan
a8a577ba93 Reduced memory usage for pregenerating the data a lot by writing it 
out on the fly without shuffling - the Sampler in the finetuning script
will shuffle for us.
 2019-03-21 14:05:52 +00:00
Matthew Carrigan
0ae59e662d Reduced memory usage for pregenerating the data a lot by writing it 
out on the fly without shuffling - the Sampler in the finetuning script
will shuffle for us.
 2019-03-21 14:04:17 +00:00
Matthew Carrigan
6a9038ba53 Removed an old irrelevant comment 2019-03-21 13:36:41 +00:00
Yuqiang Xie
77944d1b31
add tqdm to the process of eval 
Maybe better.
 2019-03-21 20:59:33 +08:00
Matthew Carrigan
29a392fbcf Small README changes 2019-03-20 17:35:17 +00:00
Matthew Carrigan
832b2b0058 Adding README 2019-03-20 17:31:49 +00:00
Matthew Carrigan
934d3f4d2f Syncing up argument names between the scripts 2019-03-20 17:23:23 +00:00
Matthew Carrigan
f19ba35b2b Move old finetuning script into the new folder 2019-03-20 16:47:06 +00:00
Matthew Carrigan
7de5c6aa5e PEP8 and formatting cleanups 2019-03-20 16:44:04 +00:00
Matthew Carrigan
1798e98e5a Added final TODOs 2019-03-20 16:42:37 +00:00
Matthew Carrigan
c64c2fc4c2 Fixed embarrassing indentation problem 2019-03-20 15:42:57 +00:00
Matthew Carrigan
0540d360f2 Fixed logging 2019-03-20 15:36:51 +00:00
Matthew Carrigan
976554a472 First commit of the new LM finetuning 2019-03-20 14:23:51 +00:00
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
tseretelitornike
83857ffeaa
Added missing imports. 2019-03-15 12:45:48 +01:00
Yongbo Wang
d1e4fa98a9
typo in annotation 
modify `heruistic` to `heuristic` in line 660, `charcter` to `character` in line 661.
 2019-03-14 17:32:15 +08:00