Commits · 22de957adddcb752561e6ed3126bc2fcddebea97 · ModelZoo / ResNet50_tensorflow

10 Apr, 2020 1 commit
- Add end learning rate (end_lr) FLAG for linear learning rate decay. · 22de957a
  A. Unique TensorFlower authored Apr 10, 2020
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  22de957a
07 Apr, 2020 1 commit
- Internal change · 2ff0a3fe
  A. Unique TensorFlower authored Apr 07, 2020
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  2ff0a3fe
27 Mar, 2020 2 commits
- Support Lamb optimizer within BERT. · da5860f2
  A. Unique TensorFlower authored Mar 27, 2020
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  da5860f2
- Internal change · 0265f59c
  A. Unique TensorFlower authored Mar 26, 2020
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  0265f59c
26 Mar, 2020 1 commit
- Move modeling_training_utils.py to bert folder · 6ef71d49
  Hongkun Yu authored Mar 25, 2020
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  6ef71d49
24 Mar, 2020 1 commit
- Internal change · 1ec383c8
  A. Unique TensorFlower authored Mar 23, 2020
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  1ec383c8
17 Mar, 2020 3 commits
- Adds scale_loss to run_customized_training_loop, which should be the correct treatment. · bf6d6f6f
  Hongkun Yu authored Mar 17, 2020
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  bf6d6f6f
- Uses performance.configure_optimizer to reduce duplicate code. · 69837027
  Hongkun Yu authored Mar 16, 2020
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  69837027
- Internal change · 2d7223ad
  Ken Franko authored Mar 16, 2020
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  2d7223ad
06 Mar, 2020 1 commit

Temporarily disable explicit allreduce in BERT SQuAD · 11ccb99e

Zongwei Zhou authored Mar 05, 2020

In BERT SQuAD, disable explicit allreduce for now to keep the original clip_by_global_norm math. With explicit allreduce, the gradients before allreduce are scaled so even if we move clip_by_global_norm before allreduce (as in TF1 and pre-TF 2.2) it will operate on scaled gradients, the math will be changed. So with explicit allreduce, it is better to move clip_by_global_norm to after allreduce.

PiperOrigin-RevId: 299278082

11ccb99e

05 Mar, 2020 1 commit
- Internal change · cf01596c
  Zongwei Zhou authored Mar 04, 2020
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  cf01596c
26 Feb, 2020 1 commit
- Internal change · ce83a9db
  Hongkun Yu authored Feb 26, 2020
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  ce83a9db
25 Feb, 2020 1 commit
- Internal change · 2781377d
  Zongwei Zhou authored Feb 25, 2020
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  2781377d
24 Feb, 2020 1 commit
- Branch a run_squad.py for albert. · 02d78796
  Chen Chen authored Feb 24, 2020
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  02d78796
23 Feb, 2020 1 commit
- tf.keras.backend.sparse_categorical_crossentropy -> tf.keras.losses.sparse_categorical_crossentropy · c25d7711
  Hongkun Yu authored Feb 23, 2020
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  c25d7711
20 Feb, 2020 1 commit

Move data pre-processing related files (classifier_data_lib.py,... · c0ece9cc

Chen Chen authored Feb 20, 2020

Move data pre-processing related files (classifier_data_lib.py, create_finetuning_data.py, create_pretraining_data.py, squad_lib.py, squad_lib_sp.py) to data folder.

PiperOrigin-RevId: 296254023

c0ece9cc

18 Feb, 2020 2 commits
- Internal change · 2926ba69
  A. Unique TensorFlower authored Feb 18, 2020
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  2926ba69
- Remove BertSquadLogitsLayer. TF-Hub can use BertSpanLabeler · ce0d936c
  Hongkun Yu authored Feb 17, 2020
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  ce0d936c
13 Feb, 2020 1 commit
- [Refactor] BertConfig -> bert/configs.py · 35aa1f31
  Hongkun Yu authored Feb 12, 2020
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  35aa1f31
11 Feb, 2020 1 commit
- Move AlbertConfig to albert folder. · 984be23d
  Hongkun Yu authored Feb 10, 2020
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  984be23d
08 Feb, 2020 1 commit
- Internal change · 347f4044
  Zongwei Zhou authored Feb 07, 2020
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  347f4044
05 Feb, 2020 1 commit
- move bert_models.py into the bert folder. · 4a086ad5
  Hongkun Yu authored Feb 05, 2020
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  4a086ad5
31 Jan, 2020 1 commit
- Enable run_eagerly for BERT SQUAD · 70e14f03
  Zongwei Zhou authored Jan 31, 2020
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  70e14f03
28 Jan, 2020 1 commit
- Add multi-worker dist-strat benchmark/accuracy for BERT SQUAD model. · d4ef56b1
  Yanhui Liang authored Jan 27, 2020
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  d4ef56b1
17 Jan, 2020 1 commit
- Fix squad v2.0 prediction. · 028f6acd
  Chen Chen authored Jan 17, 2020
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  028f6acd
20 Dec, 2019 1 commit
- Support to run ALBERT on SQuAD task. · 9c9aec17
  Chen Chen authored Dec 20, 2019
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  9c9aec17
25 Nov, 2019 1 commit
- Completely remove "use_keras_bert_for_squad" FLAG. · 9c50e961
  Chen Chen authored Nov 25, 2019
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  9c50e961
21 Nov, 2019 1 commit
- Remove old tf2 BERT for squad · 3635527d
  Chen Chen authored Nov 21, 2019
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  3635527d
19 Nov, 2019 1 commit
- Use flags utils and distribution_utils · 252e6384
  Hongkun Yu authored Nov 19, 2019
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  252e6384
18 Nov, 2019 1 commit
- Internal change · 81d031d0
  Hongkun Yu authored Nov 18, 2019
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  81d031d0
15 Nov, 2019 1 commit
- Internal change · 98f10421
  Hongkun Yu authored Nov 14, 2019
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  98f10421
13 Nov, 2019 1 commit
- Internal change · c3bd5082
  A. Unique TensorFlower authored Nov 12, 2019
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  c3bd5082
12 Nov, 2019 1 commit
- Support to use KerasBERT for squad task. · d48d036a
  Chen Chen authored Nov 11, 2019
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  d48d036a
31 Oct, 2019 1 commit
- Clean up primary_cpu_task. It is not necessary. · fc2056bc
  Hongkun Yu authored Oct 30, 2019
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  fc2056bc
11 Oct, 2019 1 commit
- Bert Hub usage for squad · 223f5148
  Hongkun Yu authored Oct 10, 2019
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  223f5148
24 Sep, 2019 1 commit
- Use experimental_connect_to_cluster API in TPU lib to support training on a slice of a TPU pod. · 497989e0
  Bruce Fontaine authored Sep 24, 2019
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  497989e0
17 Sep, 2019 2 commits
- Fix squad script. · f66efa5d
  Hongkun Yu authored Sep 17, 2019
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  f66efa5d
- Move Bert to NLP. Tasks are moved to nlp/bert/ · 1862b9c3
  Hongkun Yu authored Sep 17, 2019
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Refactor basic utils to modeling/

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  1862b9c3
05 Sep, 2019 1 commit
- adding automatic mixed precision to SQuAD · 0adbb1c9
  Vinh Nguyen authored Sep 05, 2019
  
  0adbb1c9
04 Sep, 2019 1 commit
- move collection trainable variables outside loop. · a009f4fb
  Hongkun Yu authored Sep 03, 2019
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add a flag to control loss scaling.

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  a009f4fb