thomwolf
b3c6ee0ac1
tokenization updates
2019-04-15 14:24:52 +02:00
thomwolf
20577d8a7c
add configuration serialization to readme
2019-04-15 14:21:41 +02:00
thomwolf
9761aa4845
add to_json_file method to configuration classes
2019-04-15 14:12:08 +02:00
thomwolf
b17963d82f
update readme
2019-04-15 13:44:30 +02:00
thomwolf
e8568a3b17
fixing tests
2019-04-15 12:55:38 +02:00
thomwolf
870b734bfd
added tokenizers serialization tests
2019-04-15 12:03:56 +02:00
thomwolf
3e65f255dc
add serialization semantics to tokenizers - fix transfo-xl tokenizer
2019-04-15 11:47:25 +02:00
Thomas Wolf
616743330e
Merge pull request #462 from 8enmann/master
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fix run_gpt2.py
2019-04-11 21:54:46 +02:00
Thomas Wolf
2cdfb8b254
Merge pull request #467 from yaroslavvb/patch-2
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Update README.md
2019-04-11 21:53:23 +02:00
thomwolf
074c869bbe
fix OpenAIGPTMultipleChoiceHead
2019-04-11 20:53:50 +02:00
thomwolf
724eb45cef
add stale bot
2019-04-11 17:12:00 +02:00
thomwolf
4bc4c69af9
finetuning any BERT model - fixes #455
2019-04-11 16:57:59 +02:00
thomwolf
991b8e65f4
Merge branch 'master' of https://github.com/huggingface/pytorch-pretrained-BERT
2019-04-11 11:43:15 +02:00
thomwolf
e99b2014cc
fixes #471
2019-04-11 11:43:13 +02:00
Yaroslav Bulatov
8fffba5f47
Update README.md
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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
Thomas Wolf
94980b529f
Merge pull request #404 from CatalinVoss/fix_lm_loss
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Fix Language Modeling Loss
2019-04-03 11:35:30 +02:00
Thomas Wolf
9ca25ce828
Merge pull request #427 from jeonsworld/patch-1
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fix sample_doc
2019-04-03 11:26:58 +02:00
Thomas Wolf
db4dccd1b5
Merge pull request #389 from lukovnikov/master
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Fix cosine schedule
2019-04-03 11:21:43 +02:00
thomwolf
19666dcb3b
Should fix #438
2019-04-03 11:01:01 +02:00
thomwolf
1d8c232324
Fix #436
2019-04-03 10:51:03 +02:00
thomwolf
846b1fd6f8
Fix #419
2019-04-03 10:50:38 +02:00
Thomas Wolf
404adcdabf
Merge pull request #437 from MottoX/fix-link
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Fix links in README
2019-04-02 11:40:46 +02:00
Weixin Wang
f26ce6992e
Fix links in README
2019-04-02 17:20:32 +08:00
Thomas Wolf
2f80dbbc0d
Merge pull request #430 from MottoX/master
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Fix typo in example code
2019-04-02 10:41:56 +02:00
Thomas Wolf
94adad6be3
Merge pull request #435 from marpaia/training-fixes
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Fixes to the TensorFlow conversion tool
2019-04-02 10:41:40 +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
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Modify 'unambigiously' to 'unambiguously'
2019-03-31 01:20:18 +08:00
jeonsworld
60005f464d
Update pregenerate_training_data.py
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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
Thomas Wolf
ec5c1d6134
Merge pull request #425 from Separius/patch-1
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fix lm_finetuning's link
2019-03-29 09:14:11 +01:00
Sepehr Sameni
b588ff362a
fix lm_finetuning's link
2019-03-29 12:39:24 +04:30
Thomas Wolf
694e2117f3
Merge pull request #388 from ananyahjha93/master
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Added remaining GLUE tasks to 'run_classifier.py'
2019-03-28 09:06:53 +01:00
Catalin Voss
01520d5412
Remove my unhelpful comments :)
2019-03-27 10:45:28 -07:00
Thomas Wolf
f7c9dc8c99
Merge pull request #409 from ikuyamada/master
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Remove padding_idx from position_embeddings and token_type_embeddings
2019-03-27 12:30:03 +01:00
Thomas Wolf
cc8c2d2332
Merge pull request #396 from IndexFziQ/IndexFziQ
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add tqdm to the process of eval in examples/run_swag.py
2019-03-27 12:03:26 +01:00
Thomas Wolf
bbff03fbfc
Merge pull request #394 from desireevl/master
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Minor change in README
2019-03-27 12:03:00 +01:00
Thomas Wolf
2fb8ddeeff
Merge pull request #392 from Rocketknight1/master
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Add full language model fine-tuning
2019-03-27 12:02:36 +01:00
thomwolf
34561e61a5
update main readme also
2019-03-27 12:00:04 +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
Ikuya Yamada
0401317b23
Remove padding_idx from position_embeddings and token_type_embeddings
2019-03-26 21:56:35 +09:00
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
Catalin Voss
fda2f62395
Fix test failures due to old torch issue with non-contiguous view
2019-03-24 14:37:13 -07:00
Catalin Voss
0dd796e359
Also fix loss function issue with the double head models
2019-03-24 14:35:55 -07:00
Catalin Voss
472857c47f
Fix typo syntax err (sorry, c/p from my repo)
2019-03-24 14:14:49 -07:00
Catalin Voss
2e6f5ffb96
Fix GPT language model loss here as well
2019-03-24 14:14:44 -07:00
Catalin Voss
5938f31fa7
Fix c/p typo from my experiment code
2019-03-24 14:14:40 -07:00
Catalin Voss
7797d21b8d
Fix GPT2 language modeling loss computation
2019-03-24 14:14:35 -07:00
Ananya Harsh Jha
f471979167
added GLUE dev set results and details on how to run GLUE tasks
2019-03-21 15:38:30 -04:00
