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authorRoman Grundkiewicz <rgrundki@exseed.ed.ac.uk>2017-11-09 21:23:43 +0300
committerRoman Grundkiewicz <rgrundki@exseed.ed.ac.uk>2017-11-09 21:23:43 +0300
commit46eb8be05897e71e42c9d32c3b743d17bb398886 (patch)
tree8999e7a18bb76bdfdf68cd7b4ffe38746182f3eb /examples
parent07b1a01c9297f85f73c19a60a8988cb8cf31755e (diff)
parentd99e7451a0caf01b163a0a233a5e7c4250145222 (diff)
Merge
Diffstat (limited to 'examples')
-rw-r--r--examples/transformer/README.md6
1 files changed, 3 insertions, 3 deletions
diff --git a/examples/transformer/README.md b/examples/transformer/README.md
index 59746535..22ce1cb0 100644
--- a/examples/transformer/README.md
+++ b/examples/transformer/README.md
@@ -4,7 +4,7 @@ Files and scripts in this folder shows how to run transformer model ([Vaswani
et al, 2017](https://arxiv.org/abs/1706.03762)) on WMT-17 English-German data.
The problem-set is adapted from
[tensor2tensor](https://github.com/tensorflow/tensor2tensor) repository from
-Google, i.e. 32,000 common BPE subwords for both languages.
+Google, i.e. 36,000 common BPE subwords for both languages.
No back-translations are used.
@@ -23,8 +23,8 @@ It executes a training run with `marian` using the following command:
--seed 1234 \
--type transformer \
--model model/model.npz \
- --train-sets data/corpus.en data/corpus.de \
- --vocabs model/vocab.en.yml model/vocab.de.yml \
+ --train-sets data/corpus.bpe.en data/corpus.bpe.de \
+ --vocabs model/vocab.ende.yml model/vocab.ende.yml \
--max-length 100 \
--mini-batch-fit -w 7000 --maxi-batch 1000 \
--early-stopping 10 \