Aymeric Augustin
9fc8dcb2a0
Standardize import.
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Every other file uses this pattern.
2019-12-23 18:45:42 +01:00
Aymeric Augustin
d6eaf4e6d2
Update comments mentioning Python 2.
2019-12-22 18:38:56 +01:00
Aymeric Augustin
c824d15aa1
Remove __future__ imports.
2019-12-22 17:47:54 +01:00
Aymeric Augustin
c11b3e2926
Sort imports for optional third-party libraries.
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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
fa2ccbc081
Fix E266 flake8 warning (x90).
2019-12-22 10:59:08 +01:00
Aymeric Augustin
158e82e061
Sort imports with isort.
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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.
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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
eeb70cdd77
Merge branch 'master' into saving-and-resuming
2019-12-21 14:29:59 +01:00
Stefan Schweter
71b4750517
examples: add support for XLM-RoBERTa to run_ner script
2019-12-16 16:37:27 +01:00
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
manansanghi
5d3b8daad2
Minor bug fixes on run_ner.py
2019-11-25 16:48:03 -05:00
Stefan Schweter
56c84863a1
camembert: add support for CamemBERT in run_ner example
2019-11-18 17:06:57 +01:00
Thomas Wolf
74ce8de7d8
Merge pull request #1792 from stefan-it/distilbert-for-token-classification
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DistilBERT for token classification
2019-11-14 22:47:53 +01:00
Thomas Wolf
9629e2c676
Merge pull request #1804 from ronakice/master
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fix multi-gpu eval in torch examples
2019-11-14 22:24:05 +01:00
Rémi Louf
2276bf69b7
update the examples, docs and template
2019-11-14 20:38:02 +01:00
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
Thomas Wolf
237fad339c
Merge pull request #1709 from oneraghavan/master
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Fixing mode in evaluate during training
2019-11-05 10:55:33 +01:00
thomwolf
89d6272898
Fix #1623
2019-11-04 16:21:12 +01:00
Raghavan
e5b1048bae
Fixing mode in evaluate during training
2019-11-03 16:14:46 +05:30
Thomas Wolf
c7058d8224
Merge pull request #1608 from focox/master
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Error raised by "tmp_eval_loss += tmp_eval_loss.item()" when using multi-gpu
2019-10-30 17:14:07 +01:00
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
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
Pasquale Minervini
abd7110e21
gradient norm clipping should be done right before calling the optimiser - fixing run_glue and run_ner as well
2019-10-21 19:56:52 +01:00
Julien Chaumond
788e632622
[ner] Honor args.overwrite_cache
2019-10-15 09:17:31 +02:00
thomwolf
66adb71734
update to transformers
2019-10-15 09:17:31 +02:00
Marianne Stecklina
5ff9cd158a
Add option to predict on test set
2019-10-15 09:17:31 +02:00
Marianne Stecklina
7f5367e0b1
Add cli argument for configuring labels
2019-10-15 09:17:31 +02:00
Marianne Stecklina
383ef96747
Implement fine-tuning BERT on CoNLL-2003 named entity recognition task
2019-10-15 09:17:31 +02:00
Marianne Stecklina
5adb39e757
Add option to predict on test set
2019-10-15 09:14:53 +02:00
Marianne Stecklina
99b189df6d
Add cli argument for configuring labels
2019-10-15 09:14:53 +02:00
Marianne Stecklina
cde42c4354
Implement fine-tuning BERT on CoNLL-2003 named entity recognition task
2019-10-15 09:14:53 +02:00
Aymeric Augustin