 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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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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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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