Sang-Kil Park
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64326dccfb
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Fix it to run properly even if without --do_train param.
It was modified similar to `run_classifier.py`, and Fixed to run properly even if without `--do_train` param.
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2019-01-10 21:51:39 +09:00 |
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thomwolf
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e5c78c6684
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update readme and few typos
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2019-01-10 01:40:00 +01:00 |
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thomwolf
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fa5222c296
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update readme
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2019-01-10 01:25:28 +01:00 |
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Unknown
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b3628f117e
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Added Squad 2.0
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2019-01-08 15:13:13 -08:00 |
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thomwolf
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ab90d4cddd
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adding docs and example for OpenAI GPT
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2019-01-09 00:12:43 +01:00 |
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thomwolf
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2e4db64cab
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add do_lower_case tokenizer loading optino in run_squad and ine_tuning examples
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2019-01-07 13:06:42 +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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d3d56f9a0b
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Merge pull request #166 from likejazz/patch-1
Fix error when `bert_model` param is path or url.
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2019-01-07 12:40:55 +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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Thomas Wolf
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2e8c5c00ec
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Merge pull request #141 from SinghJasdeep/patch-1
loading saved model when n_classes != 2
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2019-01-07 12:21:13 +01:00 |
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Sang-Kil Park
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ca4e7aaa72
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Fix error when bert_model param is path or url.
Error occurs when `bert_model` param is path or url. Therefore, if it is path, specify the last path to prevent error.
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2019-01-05 11:42:54 +09:00 |
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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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tholor
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e5fc98c542
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add exemplary training data. update to nvidia apex. refactor 'item -> line in doc' mapping. add warning for unknown word.
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2018-12-20 18:30:52 +01:00 |
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deepset
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a58361f197
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Add example for fine tuning BERT language model (#1)
Adds an example for loading a pre-trained BERT model and fine tune it as a language model (masked tokens & nextSentence) on your target corpus.
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2018-12-18 10:32:25 +01:00 |
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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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0f544625f4
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fix swag example for work with apex
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2018-12-13 13:35:59 +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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Thomas Wolf
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91aab2a6d3
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Merge pull request #116 from FDecaYed/deyuf/fp16_with_apex
Change to use apex for better fp16 and multi-gpu support
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2018-12-13 12:32:37 +01:00 |
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Thomas Wolf
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ffe9075f48
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Merge pull request #96 from rodgzilla/multiple-choice-code
BertForMultipleChoice and Swag dataset example.
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2018-12-13 12:05:11 +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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Thomas Wolf
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e622790a93
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Merge pull request #91 from rodgzilla/convert-examples-code-improvement
run_classifier.py improvements
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2018-12-11 05:12:04 -05:00 |
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Grégory Châtel
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df34f22854
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Removing the dependency to pandas and using the csv module to load data.
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2018-12-10 17:45:23 +01:00 |
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Grégory Châtel
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d429c15f25
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Removing old code from copy-paste.
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2018-12-06 19:19:21 +01:00 |
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Grégory Châtel
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63c45056aa
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Finishing the code for the Swag task.
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2018-12-06 18:53:05 +01:00 |
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Grégory Châtel
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c45d8ac554
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Storing the feature of each choice as a dict for readability.
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2018-12-06 16:01:28 +01:00 |
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Grégory Châtel
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0812aee2c3
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Fixing problems in convert_examples_to_features.
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2018-12-06 15:53:07 +01:00 |
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Grégory Châtel
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f2b873e995
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convert_examples_to_features code and small improvements.
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2018-12-06 15:40:47 +01:00 |
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Grégory Châtel
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83fdbd6043
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Adding read_swag_examples to load the dataset.
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2018-12-06 14:02:46 +01:00 |
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Grégory Châtel
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7183cded4e
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SwagExample class.
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2018-12-06 13:39:44 +01:00 |
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Grégory Châtel
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fa7daa247d
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Fixing the commentary of the SquadExample class.
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2018-12-06 13:14:33 +01:00 |
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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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c588453a0f
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fix run_squad
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2018-11-30 14:22:40 +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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Li Li
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0aaedcc02f
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Bug fix in examples;correct t_total for distributed training;run prediction for full dataset
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2018-11-27 01:08:37 -08:00 |
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thomwolf
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32167cdf4b
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remove convert_to_unicode and printable_text from examples
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2018-11-26 23:33:22 +01:00 |
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thomwolf
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05053d163c
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update cache_dir in readme and examples
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2018-11-26 10:45:13 +01:00 |
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thomwolf
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6b2136a8a9
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fixing weights decay in run_squad example
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2018-11-20 10:12:44 +01:00 |
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Thomas Wolf
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061eeca84a
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Merge pull request #32 from xiaoda99/master
Fix ineffective no_decay bug when using BERTAdam
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2018-11-20 10:11:46 +01:00 |
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thomwolf
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2f21497d3e
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fixing param.grad is None in fp16 examples
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2018-11-20 10:01:21 +01:00 |
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xiaoda99
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6c4789e4e8
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Fix ineffective no_decay bug
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2018-11-18 16:16:21 +08:00 |
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thomwolf
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27ee0fff3c
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add no_cuda args in extract_features
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2018-11-17 23:04:44 +01:00 |
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thomwolf
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aa50fd196f
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remove unused arguments in example scripts
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2018-11-17 23:01:05 +01:00 |
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thomwolf
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47a7d4ec14
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update examples from master
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2018-11-17 12:21:35 +01:00 |
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thomwolf
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c8cba67742
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clean up readme and examples
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2018-11-17 12:19:16 +01:00 |
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thomwolf
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757750d6f6
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fix tests
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2018-11-17 11:58:14 +01:00 |
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thomwolf
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4e46affc34
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updating examples
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2018-11-17 10:30:54 +01:00 |
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thomwolf
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cba85a67b9
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fix nan in optimizer_on_cpu
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2018-11-15 21:47:41 +01:00 |
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thomwolf
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1de35b624b
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preparing for first release
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2018-11-15 20:56:10 +01:00 |
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