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[FEATURE] Implementation of Language model estimator #1155

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@liuzh47 liuzh47 commented Feb 13, 2020

Description

Implementation of word language model estimator and large rnn language model estimator

Checklist

Essentials

  • PR's title starts with a category (e.g. [BUGFIX], [MODEL], [TUTORIAL], [FEATURE], [DOC], etc)
  • Changes are complete (i.e. I finished coding on this PR)
  • All changes have test coverage
  • Code is well-documented

Changes

  • Feature1, tests, (and when applicable, API doc)
  • Feature2, tests, (and when applicable, API doc)

Comments

  • If this change is a backward incompatible change, why must this change be made.
  • Interesting edge cases to note here

cc @dmlc/gluon-nlp-team

@liuzh47 liuzh47 requested a review from a team as a code owner February 13, 2020 12:07
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codecov bot commented Feb 13, 2020

Codecov Report

Merging #1155 into master will increase coverage by 7.99%.
The diff coverage is 25.64%.

Impacted file tree graph

@@            Coverage Diff             @@
##           master    #1155      +/-   ##
==========================================
+ Coverage   70.58%   78.57%   +7.99%     
==========================================
  Files          72       77       +5     
  Lines        6970     7278     +308     
==========================================
+ Hits         4920     5719     +799     
+ Misses       2050     1559     -491
Impacted Files Coverage Δ
src/gluonnlp/estimator/__init__.py 100% <100%> (ø)
...uonnlp/estimator/language_model_batch_processor.py 17.89% <17.89%> (ø)
...gluonnlp/estimator/language_model_event_handler.py 24.09% <24.09%> (ø)
src/gluonnlp/loss/joint_loss.py 34.78% <34.78%> (ø)
src/gluonnlp/estimator/language_model_estimator.py 41.17% <41.17%> (ø)
src/gluonnlp/model/train/cache.py 25.58% <0%> (-72.1%) ⬇️
src/gluonnlp/data/batchify/language_model.py 43.92% <0%> (-52.34%) ⬇️
src/gluonnlp/model/translation.py 20.31% <0%> (-51.57%) ⬇️
src/gluonnlp/embedding/evaluation.py 40.33% <0%> (-51.27%) ⬇️
src/gluonnlp/model/language_model.py 48.87% <0%> (-49.63%) ⬇️
... and 48 more

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mli commented Feb 13, 2020

Job PR-1155/1 is complete.
Docs are uploaded to http://gluon-nlp-staging.s3-accelerate.dualstack.amazonaws.com/PR-1155/1/index.html

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mli commented Feb 13, 2020

Job PR-1155/2 is complete.
Docs are uploaded to http://gluon-nlp-staging.s3-accelerate.dualstack.amazonaws.com/PR-1155/2/index.html

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mli commented Feb 14, 2020

Job PR-1155/4 is complete.
Docs are uploaded to http://gluon-nlp-staging.s3-accelerate.dualstack.amazonaws.com/PR-1155/4/index.html

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mli commented Feb 14, 2020

Job PR-1155/5 is complete.
Docs are uploaded to http://gluon-nlp-staging.s3-accelerate.dualstack.amazonaws.com/PR-1155/5/index.html

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mli commented Feb 14, 2020

Job PR-1155/6 is complete.
Docs are uploaded to http://gluon-nlp-staging.s3-accelerate.dualstack.amazonaws.com/PR-1155/6/index.html

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mli commented Feb 14, 2020

Job PR-1155/7 is complete.
Docs are uploaded to http://gluon-nlp-staging.s3-accelerate.dualstack.amazonaws.com/PR-1155/7/index.html

@@ -47,35 +47,35 @@ The dataset used for training the models is wikitext-2.

For all the above model settings, we set Tied = True and NTASGD = True .

[1] awd_lstm_lm_1150_wikitext-2 (Val PPL 68.71 Test PPL 65.62 )
[1] awd_lstm_lm_1150_wikitext-2 (Val PPL 68.52 Test PPL 65.68 )
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While you're at it - would you mind removing the rows related to hyper-parameters in the table? i.e. Mode, Num_layers, Embed size, Hidden size, Dropout, Dropout_h, Dropout_i, Dropout_e, Weight_drop. After the removal the table will be simpler. Also could you move the command to https://github.com/dmlc/web-data/tree/master/gluonnlp/logs/language_model and reference the links in the table? Currently, the commands take a lot of space. We shall simply the table for cache_lm and large word lm, too.

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Doc is updated. I have submitted a new PR dmlc/web-data#232 to move the commands.

$ python large_word_language_model.py --gpus 0,1,2,3 --clip=10
$ python large_word_language_model.py --gpus 4 --eval-only --batch-size=1
$ python large_word_language_model_estimator.py --gpus 0,1,2,3 --clip=10
$ python large_word_language_model_estimator.py --gpus 4 --eval-only --batch-size=1
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No PPL change for large_word_language_model?

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I am still training on large_word_language_model. It takes approximately 6~7 days to finish the whole training. Currently I get a test ppl of 43.98 with the latest model checkpoint which is comparable to the baseline model. I will update it after the training is completed.

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mli commented Feb 17, 2020

Job PR-1155/8 is complete.
Docs are uploaded to http://gluon-nlp-staging.s3-accelerate.dualstack.amazonaws.com/PR-1155/8/index.html

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mli commented Feb 17, 2020

Job PR-1155/9 is complete.
Docs are uploaded to http://gluon-nlp-staging.s3-accelerate.dualstack.amazonaws.com/PR-1155/9/index.html

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mli commented Feb 17, 2020

Job PR-1155/10 is complete.
Docs are uploaded to http://gluon-nlp-staging.s3-accelerate.dualstack.amazonaws.com/PR-1155/10/index.html

@szha szha changed the base branch from master to v0.x August 13, 2020 02:17
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