Commit Graph

1007 Commits

Author SHA1 Message Date
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
Julien Chaumond
26858f27cb [camembert] Upload to s3 + rename script 2019-11-16 00:11:07 -05:00
Louis MARTIN
3e20c2e871 Update demo_camembert.py with new classes 2019-11-16 00:11:07 -05:00
Louis MARTIN
f12e4d8da7 Move demo_camembert.py to examples/contrib 2019-11-16 00:11:07 -05:00
Louis MARTIN
6e72fd094c Add demo_camembert.py 2019-11-16 00:11:07 -05:00
Xu Hongshen
ca99a2d500 Update example readme 2019-11-15 14:55:26 +08:00
Xu Hongshen
7da3ef24cd add is_impossible tensor to model inputs during fine-tuning xlnet on squad2.0 2019-11-15 14:18:53 +08:00
Thomas Wolf
74ce8de7d8
Merge pull request #1792 from stefan-it/distilbert-for-token-classification
DistilBERT for token classification
2019-11-14 22:47:53 +01:00
Thomas Wolf
05db5bc1af
added small comparison between BERT, RoBERTa and DistilBERT 2019-11-14 22:40:22 +01:00
Thomas Wolf
9629e2c676
Merge pull request #1804 from ronakice/master
fix multi-gpu eval in torch examples
2019-11-14 22:24:05 +01:00
Thomas Wolf
df99f8c5a1
Merge pull request #1832 from huggingface/memory-leak-schedulers
replace LambdaLR scheduler wrappers by function
2019-11-14 22:10:31 +01:00
Rémi Louf
2276bf69b7 update the examples, docs and template 2019-11-14 20:38:02 +01:00
Lysandre
d7929899da Specify checkpoint in saved file for run_lm_finetuning.py 2019-11-14 10:49:00 -05:00
ronakice
2e31176557 fix multi-gpu eval 2019-11-12 05:55:11 -05:00
Stefan Schweter
2b07b9e5ee examples: add DistilBert support for NER fine-tuning 2019-11-11 16:19:34 +01:00
Adrian Bauer
7a9aae1044 Fix run_bertology.py
Make imports and args.overwrite_cache match run_glue.py
2019-11-08 16:28:40 -05:00
Julien Chaumond
f88c104d8f [run_tf_glue] Add comment for context 2019-11-05 19:56:43 -05:00
Julien Chaumond
30968d70af misc doc 2019-11-05 19:06:12 -05:00
Thomas Wolf
e99071f105
Merge pull request #1734 from orena1/patch-1
add progress bar to convert_examples_to_features
2019-11-05 11:34:20 +01:00
Thomas Wolf
ba973342e3
Merge pull request #1553 from WilliamTambellini/timeSquadInference
Add speed log to examples/run_squad.py
2019-11-05 11:13:12 +01:00
Thomas Wolf
237fad339c
Merge pull request #1709 from oneraghavan/master
Fixing mode in evaluate during training
2019-11-05 10:55:33 +01:00
Oren Amsalem
d7906165a3
add progress bar for convert_examples_to_features
It takes considerate amount of time (~10 min) to parse the examples to features, it is good to have a progress-bar to track this
2019-11-05 10:34:27 +02:00
thomwolf
89d6272898 Fix #1623 2019-11-04 16:21:12 +01:00
Thomas Wolf
9a3b173cd3
Merge branch 'master' into master 2019-11-04 11:41:26 +01:00
thomwolf
ad90868627 Update example readme 2019-11-04 11:27:22 +01:00
Raghavan
e5b1048bae
Fixing mode in evaluate during training 2019-11-03 16:14:46 +05:30
Lysandre
1a2b40cb53 run_tf_glue MRPC evaluation only for MRPC 2019-10-31 18:00:51 -04:00
Timothy Liu
be36cf92fb Added mixed precision support to benchmarks.py 2019-10-31 17:24:37 -04:00
Julien Chaumond
f96ce1c241 [run_generation] Fix generation with batch_size>1 2019-10-31 18:27:11 +00:00
Julien Chaumond
3c1b6f594e
Merge branch 'master' into fix_top_k_top_p_filtering 2019-10-31 13:53:51 -04:00
Victor SANH
fa735208c9
update readme - fix example command distil* 2019-10-30 14:27:28 -04:00
Thomas Wolf
c7058d8224
Merge pull request #1608 from focox/master
Error raised by "tmp_eval_loss += tmp_eval_loss.item()" when using multi-gpu
2019-10-30 17:14:07 +01:00
Thomas Wolf
04c69db399
Merge pull request #1628 from huggingface/tfglue
run_tf_glue works with all tasks
2019-10-30 17:04:03 +01:00
Thomas Wolf
3df4367244
Merge pull request #1601 from huggingface/clean-roberta
Clean roberta model & all tokenizers now add special tokens by default (breaking change)
2019-10-30 17:00:40 +01:00
Thomas Wolf
36174696cc
Merge branch 'master' into clean-roberta 2019-10-30 16:51:06 +01:00
Thomas Wolf
228cdd6a6e
Merge branch 'master' into conditional-generation 2019-10-30 16:40:35 +01:00
Rémi Louf
070507df1f format utils for summarization 2019-10-30 11:24:12 +01:00
Rémi Louf
da10de8466 fix bug with padding mask + add corresponding test 2019-10-30 11:19:58 +01:00
Rémi Louf
3b0d2fa30e rename seq2seq to encoder_decoder 2019-10-30 10:54:46 +01:00
Rémi Louf
9c1bdb5b61 revert renaming of lm_labels to ltr_lm_labels 2019-10-30 10:43:13 +01:00
Rémi Louf
098a89f312 update docstrings; rename lm_labels to more explicit ltr_lm_labels 2019-10-29 20:08:03 +01:00
Rémi Louf
dfce409691 resolve PR comments 2019-10-29 17:10:20 +01:00
altsoph
079bfb32fb Evaluation fixed. 2019-10-28 10:18:58 -04:00
altsoph
438f2730a0 Evaluation code fixed. 2019-10-28 10:18:58 -04:00
Rémi Louf
4c3ac4a7d8 here's one big commit 2019-10-28 10:49:50 +01:00
Rémi Louf
932543f77e fix test of truncation function 2019-10-28 10:49:49 +01:00
Rémi Louf
a67413ccc8 extend works in-place 2019-10-28 10:49:49 +01:00
Rémi Louf
b915ba9dfe pad sequence with 0, mask with -1 2019-10-28 10:49:49 +01:00
Lysandre
bab6ad01aa run_tf_glue works with all tasks 2019-10-24 21:41:45 +00:00
Matt Maybeno
ae1d03fc51 Add roberta to doc 2019-10-24 14:32:48 -04:00
Matt Maybeno
4e5f88b74f Add Roberta to run_ner.py 2019-10-24 14:32:48 -04:00
VictorSanh
5b6cafb11b [release] fix table weirdness 2019-10-23 10:35:16 -04:00
VictorSanh
8ad5c591cd [RELEASE] DistilRoBERTa 2019-10-23 10:29:47 -04:00
focox@qq.com
bd847ce7d7 fixed the bug raised by "tmp_eval_loss += tmp_eval_loss.item()" when parallelly using multi-gpu. 2019-10-23 20:27:13 +08:00
Julien Chaumond
ef1b8b2ae5 [CTRL] warn if generation prompt does not start with a control code
see also https://github.com/salesforce/ctrl/pull/50
2019-10-22 21:30:32 +00:00
Lysandre
7d709e55ed Remove 2019-10-22 14:12:33 -04:00
Lysandre
1cfd974868 Option to benchmark only one of the two libraries 2019-10-22 13:32:23 -04:00