Pasquale Minervini
3775550c4b
gradient norm clipping should be done right before calling the optimiser
2019-10-20 22:33:56 +01:00
Simon Layton
4e6a55751a
Force einsum to fp16
2019-10-14 11:12:41 -04:00
Bilal Khan
5ce8d29abe
Change tensorboard imports to use built-in tensorboard if available
2019-10-08 16:29:43 -05:00
VictorSanh
0820bb0555
unecessary carriage return
2019-10-04 17:23:15 -04:00
VictorSanh
f5891c3821
run_squad --> run_squad_w_distillation
2019-10-04 17:23:15 -04:00
VictorSanh
764a7923ec
add distillation+finetuning option in run_squad
2019-10-04 17:23:15 -04:00
thomwolf
31c23bd5ee
[BIG] pytorch-transformers => transformers
2019-09-26 10:15:53 +02:00
LysandreJik
de8e14b6c0
Added DistilBERT to run_squad script
2019-09-19 10:55:06 +02:00
Andreas Daiminger
1d15a7f278
swap order of optimizer.step() and scheduler.step()
2019-08-28 19:18:27 +02:00
VictorSanh
b006a7a12f
fix for squad
2019-08-22 00:25:42 -04:00
Peng Qi
3bffd2e8e5
more fixes
2019-08-20 10:59:28 -07:00
Peng Qi
a368b87791
Fix #1015
2019-08-19 13:07:00 -07:00
Chi-Liang Liu
40acf6b52a
don't save model without training
2019-08-18 05:02:25 -04:00
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
Thomas Wolf
c054b5ee64
Merge pull request #896 from zijunsun/master
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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
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
Peiqin Lin
76be189b08
typos
2019-07-21 20:39:42 +08:00
thomwolf
71d597dad0
fix #800
2019-07-17 13:51:09 +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
2397f958f9
updating examples and doc
2019-07-14 23:20:10 +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
thomwolf
50b7e52a7f
WIP examples
2019-07-10 15:33:34 +02:00
thomwolf
36bca545ff
tokenization abstract class - tests for examples
2019-07-05 15:02:59 +02:00
thomwolf
f6081f2255
add xlnetforsequence classif and run_classifier example for xlnet
2019-06-24 10:01:07 +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
7d2001aa44
overwrite_output_dir
2019-06-18 22:13:30 +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
Thomas Wolf
277c77f1c5
Merge pull request #630 from tguens/master
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Update run_squad.py
2019-06-14 16:56:26 +02:00
tguens
9e7bc51b95
Update run_squad.py
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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
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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
Pasquale Minervini