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author | livc <95livc@gmail.com> | 2019-03-13 08:06:56 -0700 |
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committer | Facebook Github Bot <facebook-github-bot@users.noreply.github.com> | 2019-03-13 08:14:30 -0700 |
commit | ecc5e623a29a825937ab6e8e9c4b4156b5a48626 (patch) | |
tree | a82769acdc73abeb7e3ed8796d5ae3079047cb40 /docs | |
parent | 13bc0024225a5fba2d7f83fe189d1d766b0d8d45 (diff) | |
download | pytorch-ecc5e623a29a825937ab6e8e9c4b4156b5a48626.tar.gz pytorch-ecc5e623a29a825937ab6e8e9c4b4156b5a48626.tar.bz2 pytorch-ecc5e623a29a825937ab6e8e9c4b4156b5a48626.zip |
fix punctuation
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/17973
Differential Revision: D14438725
Pulled By: zou3519
fbshipit-source-id: 30a5485b508b4ae028057e0b66a8abb2b163d66b
Diffstat (limited to 'docs')
-rw-r--r-- | docs/source/optim.rst | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/docs/source/optim.rst b/docs/source/optim.rst index f44f51a8b8..9ba6c395b9 100644 --- a/docs/source/optim.rst +++ b/docs/source/optim.rst @@ -57,7 +57,7 @@ For example, this is very useful when one wants to specify per-layer learning ra This means that ``model.base``'s parameters will use the default learning rate of ``1e-2``, ``model.classifier``'s parameters will use a learning rate of ``1e-3``, and a momentum of -``0.9`` will be used for all parameters +``0.9`` will be used for all parameters. Taking an optimization step ^^^^^^^^^^^^^^^^^^^^^^^^^^^ |