 thomwolf
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31c23bd5ee
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[BIG] pytorch-transformers => transformers
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2019-09-26 10:15:53 +02:00 |
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LysandreJik
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bf503158c5
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Sentence -> Sequence. Removed output_mask from the special token addition methods.
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2019-09-19 10:55:06 +02:00 |
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LysandreJik
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88368c2a16
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Added DistilBERT to run_lm_finetuning
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2019-09-19 10:55:06 +02:00 |
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Rohit Kumar Singh
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e5df36397b
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changes in return statement of evaluate function
changed `results` to `result` and removed `results` dict defined previously
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2019-09-09 19:55:57 +05:30 |
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LysandreJik
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593c070435
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Better examples
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2019-09-06 12:00:12 -04:00 |
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thomwolf
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06510ccb53
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typo
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2019-08-23 22:08:10 +02:00 |
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thomwolf
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ab7bd5ef98
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fixing tokenization and training
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2019-08-23 17:31:21 +02:00 |
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Lysandre
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2d042274ac
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Sequence special token handling for BERT and RoBERTa
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2019-08-20 14:15:28 -04:00 |
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thomwolf
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a690edab17
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various fix and clean up on run_lm_finetuning
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2019-08-20 15:52:12 +02:00 |
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Matthew Carrigan
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f19ba35b2b
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Move old finetuning script into the new folder
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2019-03-20 16:47:06 +00:00 |
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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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Davide Fiocco
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65df0d78ed
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--do_lower_case is duplicated in parser args
Deleting one repetition (please review!)
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2019-02-13 15:30:05 +01:00 |
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Thomas Wolf
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03cdb2a390
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Merge pull request #254 from huggingface/python_2
Adding OpenAI GPT and Transformer-XL models, compatibility with Python 2
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2019-02-11 14:19:26 +01:00 |
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tholor
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9aebc711c9
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adjust error message related to args.do_eval
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2019-02-07 11:49:38 +01:00 |
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tholor
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4a450b25d5
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removing unused argument eval_batch_size from LM finetuning #256
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2019-02-07 10:06:38 +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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Thomas Wolf
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e9e77cd3c4
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Merge pull request #218 from matej-svejda/master
Fix learning rate problems in run_classifier.py
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2019-02-05 15:40:44 +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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tholor
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ce75b169bd
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avoid confusion of inplace masking of tokens_a / tokens_b
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2019-01-31 11:42:06 +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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nhatchan
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6c65cb2492
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lm_finetuning compatibility with Python 3.5
dicts are not ordered in Python 3.5 or prior, which is a cause of #175.
This PR replaces one with a list, to keep its order.
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2019-01-13 21:09:13 +09:00 |
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tholor
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506e5bb0c8
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add do_lower_case arg and adjust model saving for lm finetuning.
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2019-01-11 08:32:46 +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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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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