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1163 Commits

Author SHA1 Message Date
Ethan Perez
e5c393dceb
[Bug fix] Using loaded checkpoint with --do_predict (instead of… (#3437) 
* Using loaded checkpoint with --do_predict

Without this fix, I'm getting near-random validation performance for a trained model, and the validation performance differs per validation run. I think this happens since the `model` variable isn't set with the loaded checkpoint, so I'm using a randomly initialized model. Looking at the model activations, they differ each time I run evaluation (but they don't with this fix).

* Update checkpoint loading

* Fixing model loading
 2020-03-30 17:06:08 -04:00
Sam Shleifer
8deff3acf2
[bart-tiny-random] Put a 5MB model on S3 to allow faster exampl… (#3488) 2020-03-30 12:28:27 -04:00
Julien Plu
d38bbb225f
Update the NER TF script (#3511) 
* Update the NER TF script to remove the softmax and make the pad token label id to -1

* Reformat the quality and style

Co-authored-by: Julien Plu <julien.plu@adevinta.com>
 2020-03-30 09:50:12 -04:00
Sam Shleifer
33ef7002e1
[Docs] examples/summarization/bart: Simplify CNN/DM preprocessi… (#3516) 2020-03-29 13:25:42 -04:00
Patrick von Platen
17dceae7a1
Fix circle ci flaky fail of wmt example (#3485) 
* force bleu

* fix wrong file name

* rename file

* different filenames for each example test

* test files should clean up after themselves

* test files should clean up after themselves

* do not force bleu

* correct typo

* fix isort
 2020-03-27 13:01:28 -04:00
Funtowicz Morgan
b08259a120
run_ner.py / bert-base-multilingual-cased can output empty tokens (#2991) 
* Use tokenizer.num_added_tokens to count number of added special_tokens instead of hardcoded numbers.

Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* run_ner.py - Do not add a label to the labels_ids if word_tokens is empty.

This can happen when using bert-base-multilingual-cased with an input containing an unique space.
In this case, the tokenizer will output just an empty word_tokens thus leading to an non-consistent behavior
over the labels_ids tokens adding one more tokens than tokens vector.

Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
 2020-03-27 10:59:55 -04:00
Patrick von Platen
f4f4946836
Rename t5-large to t5-base in README.md 2020-03-27 15:57:58 +01:00
Lysandre Debut
ff80b73157
Add option to choose T5 model size. (#3480) 
T5-small in test


isort
 2020-03-27 15:56:59 +01:00
Patrick von Platen
5ad2ea06af
Add wmt translation example (#3428) 
* add translation example

* make style

* adapt docstring

* add gpu device as input for example

* small renaming

* better README
 2020-03-26 19:07:59 +01:00
Patrick von Platen
e703e923ca
Add t5 summarization example (#3411) 
* rebase to master

* change tf to pytorch

* change to pytorch

* small fix

* renaming

* add gpu training possibility

* renaming

* improve README

* incoorporate collins feedback

* better Readme

* better README.md
 2020-03-26 18:17:55 +01:00
Lysandre Debut
ffcffebe85
Force the return of token type IDs (#3439) 2020-03-26 09:41:36 +01:00
Andre Carrera
3d76df3a12
BART for summarization training with CNN/DM using pytorch-lightning 2020-03-24 21:00:24 -04:00
Julien Chaumond
eaabaaf750 [run_language_modeling] Fix: initialize a new model from a config object 2020-03-24 17:56:40 -04:00
Julien Chaumond
f8823bad9a Expose missing mappings (see #3415) 2020-03-24 17:46:25 -04:00
Julien Chaumond
a8e3336a85 [examples] Use AutoModels in more examples 2020-03-23 20:11:14 -04:00
Julien Chaumond
f7dcf8fcea [BertAbs] Move files around for more consistent naming 2020-03-23 13:58:49 -04:00
Julien Chaumond
cf72479bf1 One last reorder of {scheduler,optimizer}.step() 2020-03-20 18:05:50 -04:00
Elijah Rippeth
634bf6cf7e fixes lr_scheduler warning 
For more details, see https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate
 2020-03-20 18:03:50 -04:00
Patrick von Platen
95e00d0808
Clean special token init in modeling_....py (#3264) 
* make style

* fix conflicts
 2020-03-20 21:41:04 +01:00
Nitish Shirish Keskar
8becb73293
removing torch.cuda.empty_cache() from TF function (#3267) 
torch.cuda.empty_cache() was being called from a TF function (even when torch is unavailable)
not sure any replacement is needed if TF OOMs
 2020-03-19 23:25:30 +01:00
Julien Chaumond
656e1386a2 Fix #3305: run_ner only possible on ModelForTokenClassification models 2020-03-19 16:41:28 -04:00
mataney
c44a17db1b
[FIX] not training when epoch is small (#3006) 
* solving bug where for small epochs and large gradient_accumulation_steps we never train

* black formatting

* no need to change these files
 2020-03-19 11:21:21 -04:00
J.P Lee
2b60a26b46
Update examples/ner/run_ner.py to use AutoModel (#3305) 
* Update examples/ner/run_ner.py to use AutoModel

* Fix missing code and apply `make style` command
 2020-03-17 12:30:10 -04:00
Nathan Raw
930c9412b4
[WIP] Lightning glue example (#3290) 
* ✨ Alter base pl transformer to use automodels

* 🐛 Add batch size env variable to function call

* 💄 Apply black code style from Makefile

* 🚚 Move lightning base out of ner directory

* ✨ Add lightning glue example

* 💄 self

* move _feature_file to base class

* ✨ Move eval logging to custom callback

* 💄 Apply black code style

* 🐛 Add parent to pythonpath, remove copy command

* 🐛 Add missing max_length kwarg
 2020-03-17 11:46:42 -04:00
Patrick von Platen
e8f44af5bf
[generate] do_sample default back to False (#3298) 
* change do_samples back

* None better default as boolean

* adapt do_sample to True in test example

* make style
 2020-03-17 10:52:37 -04:00
Thomas Wolf
2187c49f5c
CPU/GPU memory benchmarking utilities - Remove support for python 3.5 (now only 3.6+) (#3186) 
* memory benchmark rss

* have both forward pass and line-by-line mem tracing

* cleaned up tracing

* refactored and cleaning up API

* no f-strings yet...

* add GPU mem logging

* fix GPU memory monitoring

* style and quality

* clean up and doc

* update with comments

* Switching to python 3.6+

* fix quality
 2020-03-17 10:17:11 -04:00
Sam Shleifer
5ea8ba67b4
[BART] Remove unused kwargs (#3279) 
* Remove unused kwargs
* dont call forward in tests
 2020-03-15 23:00:44 -04:00
Thomas Wolf
3814e167d9
Merge pull request #3225 from patrickvonplaten/finalize_merge_bart_generate_into_default_generate 
Complete merge Seq-2-Seq generation into default generation
 2020-03-14 15:08:59 +01:00
Patrick von Platen
4f75d380a4 make style 2020-03-13 16:35:52 +01:00
Patrick von Platen
c2ee3840ae update file to new starting token logic 2020-03-13 16:34:44 +01:00
dependabot[bot]
afea70c01c Bump psutil from 5.6.3 to 5.6.6 in /examples/distillation 
Bumps [psutil](https://github.com/giampaolo/psutil) from 5.6.3 to 5.6.6.
- [Release notes](https://github.com/giampaolo/psutil/releases)
- [Changelog](https://github.com/giampaolo/psutil/blob/master/HISTORY.rst)
- [Commits](https://github.com/giampaolo/psutil/compare/release-5.6.3...release-5.6.6)

Signed-off-by: dependabot[bot] <support@github.com>
 2020-03-12 21:14:56 -04:00
Sam Shleifer
2e81b9d8d7
Bart: update example for #3140 compatibility (#3233) 
* Update bart example docs
 2020-03-12 10:36:37 -04:00
Patrick von Platen
5b3000d933 renamed min_len to min_length 2020-03-11 11:06:56 +01:00
Shubham Agarwal
5ca356a464
NER - pl example (#3180) 
* 1. seqeval required by ner pl example. install from examples/requirements. 2. unrecognized arguments: save_steps

* pl checkpoint callback filenotfound error: make directory and pass

* #3159 pl checkpoint path difference

* 1. Updated Readme for pl 2. pl script now also correct displays logs 3. pass gpu ids compared to number of gpus

* Updated results in readme

* 1. updated readme 2. removing deprecated pl methods 3. finalizing scripts

* comment length check

* using deprecated validation_end for stable results

* style related changes
 2020-03-09 20:43:38 -04:00
Sam Shleifer
3aca02efb3
Bart example: model.to(device) (#3194) 2020-03-09 15:09:35 -04:00
Lysandre
eb3e6cb04f cased -> uncased in BERT SQuAD example 
closes #3183
 2020-03-09 10:54:18 -04:00
Sam Shleifer
857e0a0d3b
Rename BartForMaskedLM -> BartForConditionalGeneration (#3114) 
* improved documentation
 2020-03-05 17:41:18 -05:00
Sam Shleifer
5b396457e5
Summarization Examples: add Bart CNN Evaluation (#3082) 
* Rename and improve example

* Add test

* slightly faster test

* style

* This breaks remy prolly

* shorter test string

* no slow

* newdir structure

* New tree

* Style

* shorter

* docs

* clean

* Attempt future import

* more import hax
 2020-03-03 15:29:59 -05:00
Davide Fiocco
c0c7ec3458
Don't crash if fine-tuned model doesn't end with a number (#3099) 
That's the same fix applied in https://github.com/huggingface/transformers/issues/2258 , but for the GLUE example
 2020-03-03 08:59:47 -05:00
Victor SANH
6b1ff25084
fix n_gpu count when no_cuda flag is activated (#3077) 
* fix n_gpu count when no_cuda flag is activated

* someone was left behind
 2020-03-02 10:20:21 -05:00
Julien Chaumond
298bed16a8 make style 2020-03-01 14:08:01 -05:00
VictorSanh
852e032ca6 include roberta in run_squad_w_distillation - cc @graviraja 2020-03-01 01:56:50 +00:00
VictorSanh
b5509abb36 --do_lower_case will always trick me... 2020-03-01 01:39:24 +00:00
srush
908fa43b54
Changes to NER examples for PLT and TPU (#3053) 
* changes to allow for tpu training

* black

* tpu

* tpu
 2020-02-27 16:45:32 -05:00
Lysandre Debut
8bcb37bfb8
NER support for Albert in run_ner.py and NerPipeline (#2983) 
* * Added support for Albert when fine-tuning for NER

* Added support for Albert in NER pipeline

* Added command-line options to examples/ner/run_ner.py to better control tokenization

* Added class AlbertForTokenClassification

* Changed output for NerPipeline to use .convert_ids_to_tokens(...) instead of .decode(...) to better reflect tokens

* Added ,

* Now passes style guide enforcement

* Changes from reviews.

* Code now passes style enforcement

* Added test for AlbertForTokenClassification

* Added test for AlbertForTokenClassification
 2020-02-27 10:22:55 -05:00
Martin Malmsten
d762d4289c Code now passes style enforcement 2020-02-26 23:50:40 +01:00
Martin Malmsten
9495d38b0d Changes from reviews. 2020-02-26 23:36:39 +01:00
Andrew Walker
5bc99e7f33
fix several typos in Distil* readme (#3034) 2020-02-26 12:39:54 -05:00
Jhuo IH
7a7ee28cb9
missing ner link (#2967) 2020-02-25 14:06:57 -05:00
Patrick von Platen
65d74c4965
Add preprocessing step for transfo-xl tokenization to avoid tokenizing words followed by punction to <unk> (#2987) 
* add preprocessing to add space before punctuation for transfo_xl

* improve warning messages

* make style

* compile regex at instantination of tokenizer object
 2020-02-24 15:11:10 -05:00
Martin Malmsten
105dcb4162 Now passes style guide enforcement 2020-02-23 21:47:59 +01:00
Martin Malmsten
33eb8a165d Added , 2020-02-23 21:43:31 +01:00
Martin Malmsten
869b66f6b3 * Added support for Albert when fine-tuning for NER 
* Added support for Albert in NER pipeline

* Added command-line options to examples/ner/run_ner.py to better control tokenization

* Added class AlbertForTokenClassification

* Changed output for NerPipeline to use .convert_ids_to_tokens(...) instead of .decode(...) to better reflect tokens
 2020-02-23 21:13:03 +01:00
saippuakauppias
cafc4dfc7c fix hardcoded path in examples readme 2020-02-22 11:12:38 -05:00
Patrick von Platen
fc38d4c86f
Improve special_token_id logic in run_generation.py and add tests (#2885) 
* improving generation

* finalized special token behaviour for no_beam_search generation

* solved modeling_utils merge conflict

* solve merge conflicts in modeling_utils.py

* add run_generation improvements from PR #2749

* adapted language generation to not use hardcoded -1 if no padding token is available

* remove the -1 removal as hard coded -1`s are not necessary anymore

* add lightweight language generation testing for randomely initialized models - just checking whether no errors are thrown

* add slow language generation tests for pretrained models using hardcoded output with pytorch seed

* delete ipdb

* check that all generated tokens are valid

* renaming

* renaming Generation -> Generate

* make style

* updated so that generate_beam_search has same token behavior than generate_no_beam_search

* consistent return format for run_generation.py

* deleted pretrain lm generate tests -> will be added in another PR

* cleaning of unused if statements and renaming

* run_generate will always return an iterable

* make style

* consistent renaming

* improve naming, make sure generate function always returns the same tensor, add docstring

* add slow tests for all lmhead models

* make style and improve example comments modeling_utils

* better naming and refactoring in modeling_utils

* improving generation

* finalized special token behaviour for no_beam_search generation

* solved modeling_utils merge conflict

* solve merge conflicts in modeling_utils.py

* add run_generation improvements from PR #2749

* adapted language generation to not use hardcoded -1 if no padding token is available

* remove the -1 removal as hard coded -1`s are not necessary anymore

* add lightweight language generation testing for randomely initialized models - just checking whether no errors are thrown

* add slow language generation tests for pretrained models using hardcoded output with pytorch seed

* delete ipdb

* check that all generated tokens are valid

* renaming

* renaming Generation -> Generate

* make style

* updated so that generate_beam_search has same token behavior than generate_no_beam_search

* consistent return format for run_generation.py

* deleted pretrain lm generate tests -> will be added in another PR

* cleaning of unused if statements and renaming

* run_generate will always return an iterable

* make style

* consistent renaming

* improve naming, make sure generate function always returns the same tensor, add docstring

* add slow tests for all lmhead models

* make style and improve example comments modeling_utils

* better naming and refactoring in modeling_utils

* changed fast random lm generation testing design to more general one

* delete in old testing design in gpt2

* correct old variable name

* temporary fix for encoder_decoder lm generation tests - has to be updated when t5 is fixed

* adapted all fast random generate tests to new design

* better warning description in modeling_utils

* better comment

* better comment and error message

Co-authored-by: Thomas Wolf <thomwolf@users.noreply.github.com>
 2020-02-21 12:09:59 -05:00
maximeilluin
c749a543fa
Added CamembertForQuestionAnswering (#2746) 
* Added CamembertForQuestionAnswering

* fixed camembert tokenizer case
 2020-02-21 12:01:02 -05:00
Martin Malmsten
4452b44b90
Labels are now added to model config under id2label and label2id (#2945) 2020-02-21 08:53:05 -05:00
Sam Shleifer
53ce3854a1
New BartModel (#2745) 
* Results same as fairseq
* Wrote a ton of tests
* Struggled with api signatures
* added some docs
 2020-02-20 18:11:13 -05:00
srush
889d3bfdbb
default arg fix (#2937) 2020-02-20 15:31:17 -05:00
srush
b662f0e625
Support for torch-lightning in NER examples (#2890) 
* initial pytorch lightning commit

* tested multigpu

* Fix learning rate schedule

* black formatting

* fix flake8

* isort

* isort

* .

Co-authored-by: Check your git settings! <chris@chris-laptop>
 2020-02-20 11:50:05 -05:00
VictorSanh
2ae98336d1 fix vocab size in binarized_data (distil): int16 vs int32 2020-02-18 16:17:35 +00:00
VictorSanh
0dbddba6d2 fix typo in hans example call 2020-02-17 20:19:57 +00:00
Manuel Romero
4e597c8e4d Fix typo 2020-02-14 09:07:42 -05:00
Julien Chaumond
4d36472b96 [run_ner] Don't crash if fine-tuning local model that doesn't end with digit 2020-02-14 03:25:29 +00:00
Lysandre
f54a5bd37f Raise error when using an mlm flag for a clm model + correct TextDataset 2020-02-12 13:23:14 -05:00
Lysandre
569897ce2c Fix a few issues regarding the language modeling script 2020-02-12 13:23:14 -05:00
VictorSanh
ee5a6856ca distilbert-base-cased weights + Readmes + omissions 2020-02-07 15:28:13 -05:00
Julien Chaumond
42f08e596f [examples] rename run_lm_finetuning to run_language_modeling 2020-02-07 09:15:28 -05:00
Julien Chaumond
4f7bdb0958 [examples] Fix broken markdown 2020-02-07 09:15:28 -05:00
Peter Izsak
6fc3d34abd Fix multi-gpu evaluation in run_glue.py 2020-02-06 16:38:55 -05:00
Julien Chaumond
ada24def22 [run_lm_finetuning] Tweak fix for non-long tensor, close #2728 
see 1ebfeb7946 and #2728

Co-Authored-By: Lysandre Debut <lysandre.debut@reseau.eseo.fr>
 2020-02-05 12:49:18 -05:00
Yuval Pinter
d1ab1fab1b
pass langs parameter to certain XLM models (#2734) 
* pass langs parameter to certain XLM models

Adding an argument that specifies the language the SQuAD dataset is in so language-sensitive XLMs (e.g. `xlm-mlm-tlm-xnli15-1024`) don't default to language `0`.
Allows resolution of issue #1799 .

* fixing from `make style`

* fixing style (again)
 2020-02-04 17:12:42 -05:00
Lysandre
3bf5417258 Revert erroneous fix 2020-02-04 16:31:07 -05:00
Lysandre
1ebfeb7946 Cast to long when masking tokens 2020-02-04 15:56:16 -05:00
Lysandre
239dd23f64 [Follow up 213] 
Masked indices should have -1 and not -100. Updating documentation + scripts that were forgotten
 2020-02-03 16:08:05 -05:00
Antonio Carlos Falcão Petri
2ba147ecff Fix typo in examples/utils_ner.py 
"%s-%d".format() -> "{}-{}".format()
 2020-02-01 11:10:57 -05:00
Lysandre
d18d47be67 run_generation style 2020-01-31 12:05:48 -05:00
Lysandre
7365f01d43 do_sample should be set to True in run_generation.py 2020-01-31 11:49:32 -05:00
Jared Nielsen
71a382319f Correct documentation 2020-01-30 18:41:24 -05:00
Hang Le
f0a4fc6cd6 Add Flaubert 2020-01-30 10:04:18 -05:00
Jared Nielsen
adb8c93134 Remove lines causing a KeyError 2020-01-29 14:01:16 -05:00
Lysandre
335dd5e68a Default save steps 50 to 500 in all scripts 2020-01-28 09:42:11 -05:00
Julien Chaumond
6b4c3ee234 [run_lm_finetuning] GPT2 tokenizer doesn't have a pad_token 
ping @lysandrejik
 2020-01-27 20:14:02 -05:00
VictorSanh
1ce3fb5cc7 update correct eval metrics (distilbert & co) 2020-01-24 11:45:22 -05:00
Julien Chaumond
1a8e87be4e Line-by-line text dataset (including padding) 2020-01-21 16:57:38 -05:00
Julien Chaumond
b94cf7faac change order 2020-01-21 16:57:38 -05:00
Julien Chaumond
2eaa8b6e56 Easier to not support this, as it could be confusing 
cc @lysandrejik
 2020-01-21 16:57:38 -05:00
Julien Chaumond
801aaa5508 make style 2020-01-21 16:57:38 -05:00
Julien Chaumond
56d4ba8ddb [run_lm_finetuning] Train from scratch 2020-01-21 16:57:38 -05:00
jiyeon_baek
6d5049a24d Fix typo in examples/run_squad.py 
Rul -> Run
 2020-01-17 11:22:51 -05:00
Lysandre
6e2c28a14a Run SQuAD warning when the doc stride may be too high 2020-01-16 13:59:26 -05:00
thomwolf
258ed2eaa8 adding details in readme 2020-01-16 13:21:30 +01:00
thomwolf
50ee59578d update formating - make flake8 happy 2020-01-16 13:21:30 +01:00
thomwolf
1c9333584a formating 2020-01-16 13:21:30 +01:00
thomwolf
e25b6fe354 updating readme 2020-01-16 13:21:30 +01:00
thomwolf
27c7b99015 adding details in readme - moving file 2020-01-16 13:21:30 +01:00
Nafise Sadat Moosavi
99d4515572 HANS evaluation 2020-01-16 13:21:30 +01:00
Julien Chaumond
83a41d39b3 💄 super 2020-01-15 18:33:50 -05:00
Julien Chaumond
715fa638a7 Merge branch 'master' into from_scratch_training 2020-01-14 18:58:21 +00:00
Julien Chaumond
b803b067bf Config to Model mapping 2020-01-13 20:05:20 +00:00
IWillPull
a3085020ed Added repetition penalty to PPLM example (#2436) 
* Added repetition penalty

* Default PPLM repetition_penalty to neutral

* Minor modifications to comply with reviewer's suggestions. (j -> token_idx)

* Formatted code with `make style`
 2020-01-10 23:00:07 -05:00
VictorSanh
e83d9f1c1d cleaning - change ' to " (black requirements) 2020-01-10 19:34:25 -05:00
VictorSanh
ebba9e929d minor spring cleaning - missing configs + processing 2020-01-10 19:14:58 -05:00
Victor SANH
331065e62d missing import 2020-01-10 11:42:53 +01:00
Victor SANH
414e9e7122 indents test 2020-01-10 11:42:53 +01:00
Victor SANH
3cdb38a7c0 indents 2020-01-10 11:42:53 +01:00
Victor SANH
ebd45980a0 Align with run_squad + fix some errors 2020-01-10 11:42:53 +01:00
Victor SANH
45634f87f8 fix Sampler in distributed training - evaluation 2020-01-10 11:42:53 +01:00
Victor SANH
af1ee9e648 Move torch.nn.utils.clip_grad_norm_ 2020-01-10 11:42:53 +01:00
Lysandre
164c794eb3 New SQuAD API for distillation script 2020-01-10 11:42:53 +01:00
Lysandre
16ce15ed4b DistilBERT token type ids removed from inputs in run_squad 2020-01-08 13:18:30 +01:00
Lysandre Debut
f24232cd1b Fix error with global step in run_squad.py 2020-01-08 11:39:00 +01:00
Oren Amsalem
43114b89ba spelling correction (#2434) 2020-01-07 17:25:25 +01:00
Lysandre Debut
27c1b656cc Fix error with global step in run_lm_finetuning.py 2020-01-07 16:16:12 +01:00
Simone Primarosa
176d3b3079 Add support for Albert and XLMRoberta for the Glue example (#2403) 
* Add support for Albert and XLMRoberta for the Glue example
 2020-01-07 14:55:55 +01:00
alberduris
81d6841b4b GPU text generation: mMoved the encoded_prompt to correct device 2020-01-06 15:11:12 +01:00
alberduris
dd4df80f0b Moved the encoded_prompts to correct device 2020-01-06 15:11:12 +01:00
karajan1001
f01b3e6680 fix #2399 an ImportError in official example (#2400) 
* fix #2399 an ImportError in official example

* style

Co-authored-by: Julien Chaumond <chaumond@gmail.com>
 2020-01-05 12:50:20 -05:00
Julien Chaumond
629b22adcf [run_lm_finetuning] mask_tokens: document types 2020-01-01 12:55:10 -05:00
Thomas Wolf
0412f3d929
Merge pull request #2291 from aaugustin/fix-flake8-F841 
Fix F841 flake8 warning
 2019-12-25 22:37:42 +01:00
Aymeric Augustin
a8d34e534e Remove [--editable] in install instructions. 
Use -e only in docs targeted at contributors.

If a user copy-pastes  command line with [--editable], they will hit
an error. If they don't know the --editable option, we're giving them
a choice to make before they can move forwards, but this isn't a choice
they need to make right now.
 2019-12-24 08:46:08 +01:00
Aymeric Augustin
81422c4e6d Remove unused variables in examples. 2019-12-23 22:29:02 +01:00
Aymeric Augustin
c3783399db Remove redundant requirements with transformers. 2019-12-23 19:17:27 +01:00
Aymeric Augustin
9fc8dcb2a0 Standardize import. 
Every other file uses this pattern.
 2019-12-23 18:45:42 +01:00
Aymeric Augustin
1c62e87b34 Use built-in open(). 
On Python 3, `open is io.open`.
 2019-12-22 18:38:56 +01:00
Aymeric Augustin
d6eaf4e6d2 Update comments mentioning Python 2. 2019-12-22 18:38:56 +01:00
Aymeric Augustin
75a23d24af Remove import fallbacks. 2019-12-22 18:38:56 +01:00
Aymeric Augustin
798b3b3899 Remove sys.version_info[0] == 2 or 3. 2019-12-22 18:38:42 +01:00
Aymeric Augustin
6b2200fc88 Remove u-prefixes. 2019-12-22 17:47:54 +01:00
Aymeric Augustin
c824d15aa1 Remove __future__ imports. 2019-12-22 17:47:54 +01:00
Aymeric Augustin
7e98e211f0 Remove unittest.main() in test modules. 
This construct isn't used anymore these days.

Running python tests/test_foo.py puts the tests/ directory on
PYTHONPATH, which isn't representative of how we run tests.

Use python -m unittest tests/test_foo.py instead.
 2019-12-22 14:42:03 +01:00
Aymeric Augustin
ced0a94204 Switch test files to the standard test_*.py scheme. 2019-12-22 14:15:13 +01:00
Aymeric Augustin
c11b3e2926 Sort imports for optional third-party libraries. 
These libraries aren't always installed in the virtual environment where
isort is running. Declaring them properly avoids mixing these
third-party imports with local imports.
 2019-12-22 11:19:13 +01:00
Aymeric Augustin
939148b050 Fix F401 flake8 warning (x28). 
Do manually what autoflake couldn't manage.
 2019-12-22 10:59:08 +01:00
Aymeric Augustin
783a616999 Fix F401 flake8 warning (x88 / 116). 
This change is mostly autogenerated with:

    $ python -m autoflake --in-place --recursive --remove-all-unused-imports --ignore-init-module-imports examples templates transformers utils hubconf.py setup.py

I made minor changes in the generated diff.
 2019-12-22 10:59:08 +01:00
Aymeric Augustin
80327a13ea Fix F401 flake8 warning (x152 / 268). 
This change is mostly autogenerated with:

    $ python -m autoflake --in-place --recursive examples templates transformers utils hubconf.py setup.py

I made minor changes in the generated diff.
 2019-12-22 10:59:08 +01:00
Aymeric Augustin
fa2ccbc081 Fix E266 flake8 warning (x90). 2019-12-22 10:59:08 +01:00
Aymeric Augustin
2ab78325f0 Fix F821 flake8 warning (x47). 
Ignore warnings related to Python 2, because it's going away soon.
 2019-12-22 10:59:07 +01:00
Aymeric Augustin
631be27078 Fix E722 flake8 warnings (x26). 2019-12-22 10:59:07 +01:00
Aymeric Augustin
b0f7db73cd Fix E741 flake8 warning (x14). 2019-12-22 10:59:07 +01:00
Aymeric Augustin
fd2f17a7a1 Fix E714 flake8 warning (x8). 2019-12-22 10:59:07 +01:00
Aymeric Augustin
5eab3cf6bc Fix W605 flake8 warning (x5). 2019-12-22 10:59:07 +01:00
Aymeric Augustin
7dce8dc7ac Fix E731 flake8 warning (x3). 2019-12-22 10:59:07 +01:00
Aymeric Augustin
357db7098c Fix E712 flake8 warning (x1). 2019-12-22 10:59:07 +01:00
Aymeric Augustin
f9c5317db2 Fix E265 flake8 warning (x1). 2019-12-22 10:59:07 +01:00
Aymeric Augustin
28e608a2c2 Remove trailing whitespace from all Python files. 
Fixes flake8 warning W291 (x224).
 2019-12-22 10:59:07 +01:00
Aymeric Augustin
158e82e061 Sort imports with isort. 
This is the result of:

    $ isort --recursive examples templates transformers utils hubconf.py setup.py
 2019-12-22 10:57:46 +01:00
Aymeric Augustin
fa84ae26d6 Reformat source code with black. 
This is the result of:

    $ black --line-length 119 examples templates transformers utils hubconf.py setup.py

There's a lot of fairly long lines in the project. As a consequence, I'm
picking the longest widely accepted line length, 119 characters.

This is also Thomas' preference, because it allows for explicit variable
names, to make the code easier to understand.
 2019-12-21 17:52:29 +01:00
Thomas Wolf
73f6e9817c
Merge pull request #2115 from suvrat96/add_mmbt_model 
[WIP] Add MMBT Model to Transformers Repo
 2019-12-21 15:26:08 +01:00
thomwolf
344126fe58 move example to mm-imdb folder 2019-12-21 15:06:52 +01:00
Thomas Wolf
5b7fb6a4a1
Merge pull request #2134 from bkkaggle/saving-and-resuming 
closes #1960 Add saving and resuming functionality for remaining examples
 2019-12-21 15:03:53 +01:00
Thomas Wolf
6f68d559ab
Merge pull request #2130 from huggingface/ignored-index-coherence 
[BREAKING CHANGE] Setting all ignored index to the PyTorch standard
 2019-12-21 14:55:40 +01:00
thomwolf
1ab25c49d3 Merge branch 'master' into pr/2115 2019-12-21 14:54:30 +01:00
thomwolf
b03872aae0 fix merge 2019-12-21 14:49:54 +01:00
Thomas Wolf
518ba748e0
Merge branch 'master' into saving-and-resuming 2019-12-21 14:41:39 +01:00
Thomas Wolf
18601c3b6e
Merge pull request #2173 from erenup/master 
run_squad with roberta
 2019-12-21 14:33:16 +01:00
Thomas Wolf
eeb70cdd77
Merge branch 'master' into saving-and-resuming 2019-12-21 14:29:59 +01:00
Thomas Wolf
ed9b84816e
Merge pull request #1840 from huggingface/generation_sampler 
[WIP] Sampling sequence generator for transformers
 2019-12-21 14:27:35 +01:00
thomwolf
cfa0380515 Merge branch 'master' into generation_sampler 2019-12-21 14:12:52 +01:00
thomwolf
300ec3003c fixing run_generation example - using torch.no_grad 2019-12-21 14:02:19 +01:00
thomwolf
1c37746892 fixing run_generation 2019-12-21 13:52:49 +01:00
thomwolf
8a2be93b4e fix merge 2019-12-21 13:31:28 +01:00
Thomas Wolf
562f864038
Merge branch 'master' into fix-xlnet-squad2.0 2019-12-21 12:48:10 +01:00
Thomas Wolf
59941c5d1f
Merge pull request #2189 from stefan-it/xlmr 
Add support for XLM-RoBERTa
 2019-12-20 13:26:38 +01:00
Julien Chaumond
a5a06a851e [doc] Param name consistency 2019-12-19 16:24:20 -05:00
Aidan Kierans
1718fb9e74 Minor/basic text fixes (#2229) 
* Small clarification

Matches line 431 to line 435 for additional clarity and consistency.

* Fixed minor typo

The letter "s" was previously omitted from the word "docstrings".
 2019-12-19 16:23:18 -05:00
Francesco
62c1fc3c1e Removed duplicate XLMConfig, XLMForQuestionAnswering and XLMTokenizer from import statement of run_squad.py script 2019-12-19 09:50:56 -05:00
Ejar
284572efc0 Updated typo on the link 
Updated documentation due to typo
 2019-12-19 09:36:43 -05:00
Stefan Schweter
a26ce4dee1 examples: add XLM-RoBERTa to glue script 2019-12-19 02:23:01 +01:00
thomwolf
3d2096f516 further cleanup 2019-12-18 11:50:54 +01:00
thomwolf
83bc5235cf Merge branch 'master' into pr/2189 2019-12-17 11:47:32 +01:00
Thomas Wolf
f061606277
Merge pull request #2164 from huggingface/cleanup-configs 
[SMALL BREAKING CHANGE] Cleaning up configuration classes - Adding Model Cards
 2019-12-17 09:10:16 +01:00
Lysandre
18a879f475 fix #2180 2019-12-16 16:44:29 -05:00
Lysandre
d803409215 Fix run squad evaluate during training 2019-12-16 16:31:38 -05:00
Stefan Schweter
71b4750517 examples: add support for XLM-RoBERTa to run_ner script 2019-12-16 16:37:27 +01:00
thomwolf
dc667ce1a7 double check cc @LysandreJik 2019-12-14 09:56:27 +01:00
thomwolf
7140363e09 update bertabs 2019-12-14 09:44:53 +01:00
Thomas Wolf
a52d56c8d9
Merge branch 'master' into cleanup-configs 2019-12-14 09:43:07 +01:00
erenup
c7780700f5 Merge branch 'refs/heads/squad_roberta' 
# Conflicts:
#	transformers/data/processors/squad.py
 2019-12-14 08:53:59 +08:00
erenup
8e9526b4b5 add multiple processing 2019-12-14 08:43:58 +08:00
Lysandre
c8ed1c82c8 [SQUAD] Load checkpoint when evaluating without training 2019-12-13 12:13:48 -05:00
Pierric Cistac
5a5c4349e8
Fix summarization to_cpu doc 2019-12-13 10:02:33 -05:00
thomwolf
47f0e3cfb7 cleaning up configuration classes 2019-12-13 14:33:24 +01:00
erenup
9b312f9d41 initial version for roberta squad 2019-12-13 14:51:40 +08:00
LysandreJik
7296f1010b Cleanup squad and add allow train_file and predict_file usage 2019-12-12 13:01:04 -05:00
LysandreJik
3fd71c4431 Update example scripts 2019-12-12 12:08:54 -05:00
Alan deLevie
fbf5455a86 Fix typo in examples/run_glue.py args declaration. 
deay -> decay
 2019-12-12 11:16:19 -05:00
Bilal Khan
6aa919469d Update run_xnli to save optimizer and scheduler states, then resume training from a checkpoint 2019-12-10 19:31:22 -06:00
Bilal Khan
89896fe04f Update run_ner to save optimizer and scheduler states, then resume training from a checkpoint 2019-12-10 19:31:22 -06:00
Bilal Khan
fdc05cd68f Update run_squad to save optimizer and scheduler states, then resume training from a checkpoint 2019-12-10 19:31:22 -06:00
Bilal Khan
854ec5784e Update run_glue to save optimizer and scheduler states, then resume training from a checkpoint 2019-12-10 19:30:36 -06:00
LysandreJik
b72f9d340e Correct index in script 2019-12-10 18:33:17 -05:00
LysandreJik
6a73382706 Complete warning + cleanup 2019-12-10 14:33:24 -05:00
Lysandre
dc4e9e5cb3 DataParallel for SQuAD + fix XLM 2019-12-10 19:21:20 +00:00
Rémi Louf
07bc8efbc3 add greedy decoding and sampling 2019-12-10 17:27:50 +01:00
Rémi Louf
4b82c485de remove misplaced summarization documentation 2019-12-10 09:13:33 -05:00
Thomas Wolf
e57d00ee10
Merge pull request #1984 from huggingface/squad-refactor 
[WIP] Squad refactor
 2019-12-10 11:07:26 +01:00
Suvrat Bhooshan
df3961121f Add MMBT Model to Transformers Repo 2019-12-09 18:36:48 -08:00
Julien Chaumond
1d18930462 Harmonize no_cuda flag with other scripts 2019-12-09 20:37:55 -05:00
Rémi Louf
f7eba09007 clean for release 2019-12-09 20:37:55 -05:00
Rémi Louf
2a64107e44 improve device usage 2019-12-09 20:37:55 -05:00
Rémi Louf
c0707a85d2 add README 2019-12-09 20:37:55 -05:00
Rémi Louf
ade3cdf5ad integrate ROUGE 2019-12-09 20:37:55 -05:00
Rémi Louf
076602bdc4 prevent BERT weights from being downloaded twice 2019-12-09 20:37:55 -05:00
Rémi Louf
a1994a71ee simplified model and configuration 2019-12-09 20:37:55 -05:00
Rémi Louf
3a9a9f7861 default output dir to documents dir 2019-12-09 20:37:55 -05:00
Rémi Louf
693606a75c update the docs 2019-12-09 20:37:55 -05:00
Rémi Louf
2403a66598 give transformers API to BertAbs 2019-12-09 20:37:55 -05:00
Rémi Louf
ba089c780b share pretrained embeddings 2019-12-09 20:37:55 -05:00
Rémi Louf
9660ba1cbd Add beam search 2019-12-09 20:37:55 -05:00
Rémi Louf
1c71ecc880 load the pretrained weights for encoder-decoder 
We currently save the pretrained_weights of the encoder and decoder in
two separate directories `encoder` and `decoder`. However, for the
`from_pretrained` function to operate with automodels we need to
specify the type of model in the path to the weights.

The path to the encoder/decoder weights is handled by the
`PreTrainedEncoderDecoder` class in the `save_pretrained` function. Sice
there is no easy way to infer the type of model that was initialized for
the encoder and decoder we add a parameter `model_type` to the function.
This is not an ideal solution as it is error prone, and the model type
should be carried by the Model classes somehow.

This is a temporary fix that should be changed before merging.
 2019-12-09 20:37:55 -05:00
Rémi Louf
07f4cd73f6 update function to add special tokens 
Since I started my PR the `add_special_token_single_sequence` function
has been deprecated for another; I replaced it with the new function.
 2019-12-09 20:37:55 -05:00
Bilal Khan
79526f82f5 Remove unnecessary epoch variable 2019-12-09 16:24:35 -05:00
Bilal Khan
9626e0458c Add functionality to continue training from last saved global_step 2019-12-09 16:24:35 -05:00
Bilal Khan
2d73591a18 Stop saving current epoch 2019-12-09 16:24:35 -05:00
Bilal Khan
0eb973b0d9 Use saved optimizer and scheduler states if available 2019-12-09 16:24:35 -05:00
Bilal Khan
a03fcf570d Save tokenizer after each epoch to be able to resume training from a checkpoint 2019-12-09 16:24:35 -05:00
Bilal Khan
f71b1bb05a Save optimizer state, scheduler state and current epoch 2019-12-09 16:24:35 -05:00
LysandreJik
2a4ef098d6 Add ALBERT and XLM to SQuAD script 2019-12-09 10:46:47 -05:00
Lysandre Debut
00c4e39581
Merge branch 'master' into squad-refactor 2019-12-09 10:41:15 -05:00
Thomas Wolf
5482822a2b
Merge pull request #2046 from jplu/tf2-ner-example 
Add NER TF2 example.
 2019-12-06 12:12:22 +01:00
LysandreJik
e9217da5ff Cleanup 
Improve global visibility on the run_squad script, remove unused files and fixes related to XLNet.
 2019-12-05 16:01:51 -05:00
LysandreJik
9ecd83dace Patch evaluation for impossible values + cleanup 2019-12-05 14:44:57 -05:00
VictorSanh
35ff345fc9 update requirements 2019-12-05 12:07:04 -05:00
VictorSanh
552c44a9b1 release distilm-bert 2019-12-05 10:14:58 -05:00
Rosanne Liu
ee53de7aac Pr for pplm (#2060) 
* license

* changes

* ok

* Update paper link and commands to run

* pointer to uber repo
 2019-12-05 09:20:07 -05:00
Julien Plu
9200a759d7 Add few tests on the TF optimization file with some info in the documentation. Complete the README. 2019-12-05 12:56:43 +01:00
thomwolf
75a97af6bc fix #1450 - add doc 2019-12-05 11:26:55 +01:00
LysandreJik
f7e4a7cdfa Cleanup 2019-12-04 16:24:15 -05:00
LysandreJik
cca75e7884 Kill the demon spawn 2019-12-04 15:42:29 -05:00
LysandreJik
9ddc3f1a12 Naming update + XLNet/XLM evaluation 2019-12-04 10:37:00 -05:00
thomwolf
5bfcd0485e fix #1991 2019-12-04 14:53:11 +01:00
Julien Plu
ecb923da9c Create a NER example similar to the Pytorch one. It takes the same options, and can be run the same way. 2019-12-04 09:43:15 +01:00
LysandreJik
de276de1c1 Working evaluation 2019-12-03 17:15:51 -05:00
Julien Chaumond
7edb51f3a5 [pplm] split classif head into its own file 2019-12-03 22:07:25 +00:00
VictorSanh
48cbf267c9 Use full dataset for eval (SequentialSampler in Distributed setting) 2019-12-03 11:01:37 -05:00
Julien Chaumond
f434bfc623 [pplm] Update S3 links 
Co-Authored-By: Piero Molino <w4nderlust@gmail.com>
 2019-12-03 10:53:02 -05:00
Ethan Perez
96e83506d1 Always use SequentialSampler during evaluation 
When evaluating, shouldn't we always use the SequentialSampler instead of DistributedSampler? Evaluation only runs on 1 GPU no matter what, so if you use the DistributedSampler with N GPUs, I think you'll only evaluate on 1/N of the evaluation set. That's at least what I'm finding when I run an older/modified version of this repo.
 2019-12-03 10:15:39 -05:00
Julien Chaumond
3b48806f75 [pplm] README: add setup + tweaks 2019-12-03 10:14:02 -05:00
Julien Chaumond
0cb2c90890 readme 
Co-Authored-By: Rosanne Liu <mimosavvy@gmail.com>
 2019-12-03 10:14:02 -05:00
Julien Chaumond
1efb2ae7fc [pplm] move scripts under examples/pplm/ 2019-12-03 10:14:02 -05:00
Piero Molino
a59fdd1627 generate_text_pplm now works with batch_size > 1 2019-12-03 10:14:02 -05:00
w4nderlust
893d0d64fe Changed order of some parameters to be more consistent. Identical results. 2019-12-03 10:14:02 -05:00
w4nderlust
f42816e7fc Added additional check for url and path in discriminator model params 2019-12-03 10:14:02 -05:00
w4nderlust
f10b925015 Imrpovements: model_path renamed pretrained_model, tokenizer loaded from pretrained_model, pretrained_model set to discriminator's when discrim is specified, sample = False by default but cli parameter introduced. To obtain identical samples call the cli with --sample 2019-12-03 10:14:02 -05:00
w4nderlust
75904dae66 Removed global variable device 2019-12-03 10:14:02 -05:00
piero
7fd54b55a3 Added support for generic discriminators 2019-12-03 10:14:02 -05:00
piero
b0eaff36e6 Added a +1 to epoch when saving weights 2019-12-03 10:14:02 -05:00
piero
611961ade7 Added tqdm to preprocessing 2019-12-03 10:14:02 -05:00
piero
afc7dcd94d Now run_pplm works on cpu. Identical output as before (when using gpu). 2019-12-03 10:14:02 -05:00
piero
61399e5afe Cleaned perturb_past. Identical output as before. 2019-12-03 10:14:02 -05:00
piero
ffc2935405 Fix for making unditioned generation work. Identical output as before. 2019-12-03 10:14:02 -05:00
piero
9f693a0c48 Cleaned generate_text_pplm. Identical output as before. 2019-12-03 10:14:02 -05:00
piero
61a12f790d Renamed SmallConst to SMALL_CONST and introduced BIG_CONST. Identical output as before. 2019-12-03 10:14:02 -05:00
piero
ef47b2c03a Removed commented code. Identical output as before. 2019-12-03 10:14:02 -05:00
piero
7ea12db3f5 Removed commented code. Identical output as before. 2019-12-03 10:14:02 -05:00
piero
08c6e456a3 Cleaned full_text_generation. Identical output as before. 2019-12-03 10:14:02 -05:00
piero
6c9c131780 More cleanup for run_model. Identical output as before. 2019-12-03 10:14:02 -05:00
piero
7ffe47c888 Improved device specification 2019-12-03 10:14:02 -05:00
piero
4f2164e40e First cleanup step, changing function names and passing parameters all the way through without using args. Identical output as before. 2019-12-03 10:14:02 -05:00
piero
821de121e8 Minor changes 2019-12-03 10:14:02 -05:00
w4nderlust
7469d03b1c Fixed minor bug when running training on cuda 2019-12-03 10:14:02 -05:00
piero
0b51fba20b Added script for training a discriminator for pplm to use 2019-12-03 10:14:02 -05:00
Piero Molino
34a83faabe Let's make PPLM great again 2019-12-03 10:14:02 -05:00
Julien Chaumond
d5faa74cd6 tokenizer white space: revert to previous behavior 2019-12-03 10:14:02 -05:00
Julien Chaumond
0b77d66a6d rm extraneous import 2019-12-03 10:14:02 -05:00
Rosanne Liu
83b1e6ac9e fix the loss backward issue 
(cherry picked from commit 566468cc984c6ec7e10dfc62b5b4191781a99cd2)
 2019-12-03 10:14:02 -05:00
Julien Chaumond
572c24cfa2 PPLM (squashed) 
Co-authored-by: piero <piero@uber.com>
Co-authored-by: Rosanne Liu <mimosavvy@gmail.com>
 2019-12-03 10:14:02 -05:00
Thomas Wolf
f19a78a634
Merge pull request #1903 from valohai/master 
Valohai integration
 2019-12-03 16:13:01 +01:00
maxvidal
b0ee7c7df3 Added Camembert to available models 2019-11-29 14:17:02 -05:00
Juha Kiili
41aa0e8003 Refactor logs and fix loss bug 2019-11-29 15:33:25 +02:00
Lysandre
bd41e8292a Cleanup & Evaluation now works 2019-11-28 16:03:56 -05:00
Stefan Schweter
8c276b9c92
Merge branch 'master' into distilbert-german 2019-11-27 18:11:49 +01:00
VictorSanh
d5478b939d add distilbert + update run_xnli wrt run_glue 2019-11-27 11:07:22 -05:00
VictorSanh
73fe2e7385 remove fstrings 2019-11-27 11:07:22 -05:00
VictorSanh
3e7656f7ac update readme 2019-11-27 11:07:22 -05:00
VictorSanh
abd397e954 uniformize w/ the cache_dir update 2019-11-27 11:07:22 -05:00
VictorSanh
d5910b312f move xnli processor (and utils) to transformers/data/processors 2019-11-27 11:07:22 -05:00
VictorSanh
289cf4d2b7 change default for XNLI: dev --> test 2019-11-27 11:07:22 -05:00
VictorSanh
84a0b522cf mbert reproducibility results 2019-11-27 11:07:22 -05:00
VictorSanh
c4336ecbbd xnli - output_mode consistency 2019-11-27 11:07:22 -05:00
VictorSanh
d52e98ff9a add xnli examples/README.md 2019-11-27 11:07:22 -05:00
VictorSanh
71f71ddb3e run_xnli + utils_xnli 2019-11-27 11:07:22 -05:00
Julien Chaumond
b5d884d25c Uniformize #1952 2019-11-27 11:05:55 -05:00
Lysandre
4374eaea78 ALBERT for SQuAD 2019-11-26 13:08:12 -05:00
Lysandre
c110c41fdb Run GLUE and remove LAMB 2019-11-26 13:08:12 -05:00
manansanghi
5d3b8daad2 Minor bug fixes on run_ner.py 2019-11-25 16:48:03 -05:00
İbrahim Ethem Demirci
aa92a184d2 resize model when special tokenizer present 2019-11-25 15:06:32 -05:00
Lysandre
7485caefb0 fix #1894 2019-11-25 09:33:39 -05:00
Julien Chaumond
176cd1ce1b [doc] homogenize instructions slightly 2019-11-23 11:18:54 -05:00
Lysandre
c3ba645237 Works for XLNet 2019-11-22 16:27:37 -05:00
Lysandre
72e506b22e wip 2019-11-22 16:26:00 -05:00
Rémi Louf
26db31e0c0 update the documentation 2019-11-21 14:41:19 -05:00
Juha Kiili
2cf3447e0a Glue: log in Valohai-compatible JSON format too 2019-11-21 12:35:25 +02:00
Thomas Wolf
0cdfcca24b
Merge pull request #1860 from stefan-it/camembert-for-token-classification 
[WIP] Add support for CamembertForTokenClassification
 2019-11-21 10:56:07 +01:00
Jin Young Sohn
e70cdf083d Cleanup TPU bits from run_glue.py 
TPU runner is currently implemented in:
https://github.com/pytorch-tpu/transformers/blob/tpu/examples/run_glue_tpu.py.

We plan to upstream this directly into `huggingface/transformers`
(either `master` or `tpu`) branch once it's been more thoroughly tested.
 2019-11-20 17:54:34 -05:00
Lysandre
454455c695 fix #1879 2019-11-20 09:42:48 -05:00
Stefan Schweter
e7cf2ccd15 distillation: add German distilbert model 2019-11-19 19:55:19 +01:00
Kazutoshi Shinoda
f3386d9383 typo "deay" -> "decay" 2019-11-18 11:50:06 -05:00
Stefan Schweter
56c84863a1 camembert: add support for CamemBERT in run_ner example 2019-11-18 17:06:57 +01:00