Thomas Wolf
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2dee86319d
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Merge pull request #527 from Mathieu-Prouveur/fix_value_training_loss
Update example files so that tr_loss is not affected by args.gradient…
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2019-04-30 11:12:55 +02:00 |
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Mathieu Prouveur
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87b9ec3843
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Fix tr_loss rescaling factor using global_step
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2019-04-29 12:58:29 +02:00 |
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Mathieu Prouveur
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ed8fad7390
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Update example files so that tr_loss is not affected by args.gradient_accumulation_step
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2019-04-24 14:07:00 +02:00 |
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thomwolf
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d94c6b0144
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fix training schedules in examples to match new API
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2019-04-23 11:17:06 +02:00 |
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Thomas Wolf
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3d78e226e6
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Merge pull request #489 from huggingface/tokenization_serialization
Better serialization for Tokenizers and Configuration classes - Also fix #466
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2019-04-16 08:49:54 +02:00 |
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thomwolf
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3571187ef6
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fix saving models in distributed setting examples
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2019-04-15 16:43:56 +02:00 |
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thomwolf
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1135f2384a
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clean up logger in examples for distributed case
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2019-04-15 15:22:40 +02:00 |
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thomwolf
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60ea6c59d2
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added best practices for serialization in README and examples
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2019-04-15 15:00:33 +02:00 |
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thomwolf
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179a2c2ff6
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update example to work with new serialization semantic
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2019-04-15 14:33:23 +02:00 |
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Jie Yang
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c49ce3c722
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fix tsv read error in Windows
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2019-04-11 15:40:19 -04:00 |
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Weixin Wang
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d07db28f52
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Fix typo in example code
Modify 'unambigiously' to 'unambiguously'
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2019-03-31 01:20:18 +08:00 |
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Ananya Harsh Jha
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e5b63fb542
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Merge branch 'master' of https://github.com/ananyahjha93/pytorch-pretrained-BERT
pull current master to local
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2019-03-17 08:30:13 -04:00 |
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Ananya Harsh Jha
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8a4e90ff40
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corrected folder creation error for MNLI-MM, verified GLUE results
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2019-03-17 08:16:50 -04:00 |
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Ananya Harsh Jha
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e0bf01d9a9
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added hack for mismatched MNLI
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2019-03-16 14:10:48 -04:00 |
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Ananya Harsh Jha
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4c721c6b6a
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added eval time metrics for GLUE tasks
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2019-03-15 23:21:24 -04:00 |
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Ananya Harsh Jha
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043c8781ef
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added code for all glue task processors
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2019-03-14 04:24:04 -04:00 |
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Yongbo Wang
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22a465a91f
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Simplify code, delete redundancy line
delete redundancy line `if args.train`, simplify code.
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2019-03-13 09:42:06 +08:00 |
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thomwolf
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994d86609b
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fixing PYTORCH_PRETRAINED_BERT_CACHE use in examples
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2019-03-06 10:21:24 +01:00 |
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thomwolf
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5c85fc3977
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fix typo - logger info
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2019-03-06 10:05:21 +01:00 |
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John Lehmann
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0f96d4b1f7
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Run classifier processor for SST-2.
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2019-03-05 13:38:28 -06:00 |
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thomwolf
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eebc8abbe2
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clarify and unify model saving logic in examples
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2019-02-11 14:04:19 +01:00 |
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Thomas Wolf
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848aae49e1
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Merge branch 'master' into python_2
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2019-02-06 00:13:20 +01:00 |
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thomwolf
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448937c00d
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python 2 compatibility
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2019-02-06 00:07:46 +01:00 |
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thomwolf
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1579c53635
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more explicit notation: num_train_step => num_train_optimization_steps
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2019-02-05 15:36:33 +01:00 |
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Matej Svejda
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5169069997
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make examples consistent, revert error in num_train_steps calculation
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2019-01-30 11:47:25 +01:00 |
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Matej Svejda
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9c6a48c8c3
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fix learning rate/fp16 and warmup problem for all examples
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2019-01-27 14:07:24 +01:00 |
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Matej Svejda
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01ff4f82ba
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learning rate problems in run_classifier.py
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2019-01-22 23:40:06 +01:00 |
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thomwolf
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c9fd350567
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remove default when action is store_true in arguments
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2019-01-07 13:01:54 +01:00 |
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Thomas Wolf
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766c6b2ce3
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Merge pull request #159 from jaderabbit/master
Allow do_eval to be used without do_train and to use the pretrained model in the output folder
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2019-01-07 12:31:06 +01:00 |
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Thomas Wolf
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77966a43a4
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Merge pull request #156 from rodgzilla/cl_args_doc
Adding new pretrained model to the help of the `bert_model` argument.
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2019-01-07 12:27:16 +01:00 |
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Jade Abbott
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193e2df8ba
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Remove rogue comment
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2019-01-03 13:13:06 +02:00 |
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Jade Abbott
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c64de50ea4
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nb_tr_steps is not initialized
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2019-01-03 12:34:57 +02:00 |
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Jade Abbott
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b96149a19b
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Training loss is not initialized if only do_eval is specified
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2019-01-03 10:32:10 +02:00 |
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Jade Abbott
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be3b9bcf4d
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Allow one to use the pretrained model in evaluation when do_train is not selected
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2019-01-03 09:02:33 +02:00 |
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Grégory Châtel
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186f75342e
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Adding new pretrained model to the help of the bert_model argument.
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2019-01-02 14:00:59 +01:00 |
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Jasdeep Singh
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99709ee61d
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loading saved model when n_classes != 2
Required to for: Assertion `t >= 0 && t < n_classes` failed, if your default number of classes is not 2.
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2018-12-20 13:55:47 -08:00 |
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thomwolf
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ae88eb88a4
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set encoding to 'utf-8' in calls to open
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2018-12-14 13:48:58 +01:00 |
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thomwolf
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e1eab59aac
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no fp16 on evaluation
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2018-12-13 14:54:02 +01:00 |
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thomwolf
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087798b7fa
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fix reloading model for evaluation in examples
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2018-12-13 14:48:12 +01:00 |
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thomwolf
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0cf88ff084
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make examples work without apex
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2018-12-13 13:28:00 +01:00 |
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thomwolf
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d3fcec1a3e
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add saving and loading model in examples
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2018-12-13 12:50:44 +01:00 |
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thomwolf
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b3caec5a56
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adding save checkpoint and loading in examples
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2018-12-13 12:48:13 +01:00 |
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Deyu Fu
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c8ea286048
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change to apex for better fp16 and multi-gpu support
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2018-12-11 17:13:58 -08:00 |
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Grégory Châtel
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a994bf4076
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Fixing related to issue #83.
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2018-12-05 18:16:30 +01:00 |
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Grégory Châtel
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c6d9d5394e
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Simplifying code for easier understanding.
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2018-12-05 17:53:09 +01:00 |
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Grégory Châtel
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793262e8ec
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Removing trailing whitespaces.
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2018-12-05 17:52:39 +01:00 |
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Davide Fiocco
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e60e8a6068
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Correct assignement for logits in classifier example
I tried to address https://github.com/huggingface/pytorch-pretrained-BERT/issues/76
should be correct, but there's likely a more efficient way.
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2018-12-02 12:38:26 +01:00 |
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Davide Fiocco
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dc13e276ee
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Point typo fix
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2018-12-01 01:02:16 +01:00 |
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thomwolf
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89d47230d7
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clean up classification model output
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2018-11-30 22:54:53 +01:00 |
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thomwolf
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0541442558
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add do_lower_case in examples
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2018-11-30 13:47:33 +01:00 |
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