Commit Graph

255 Commits

Author SHA1 Message Date
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