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authorMarcin Junczys-Dowmunt <junczys@amu.edu.pl>2018-03-14 03:29:22 +0300
committerGitHub <noreply@github.com>2018-03-14 03:29:22 +0300
commite468216f454ec14857b5b248eefeb3a39fef8dfe (patch)
tree96aa6b8c8a6abafe19a5414d7c19b1848596d009
parentae3c8439c7cff4a73d9632a777e0d95f516c5f3b (diff)
Update README.md
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diff --git a/wmt2017-transformer/README.md b/wmt2017-transformer/README.md
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--- a/wmt2017-transformer/README.md
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@@ -59,3 +59,14 @@ $MARIAN/build/marian \
--devices $GPUS --sync-sgd --seed $i$i$i$i \
--exponential-smoothing
```
+
+## Results
+
+Running the complete script from start to end shoud results in numbers similar to the following:
+
+System | test2014 | test2015 | test2016(valid) | test2017 |
+|------|----------|----------|-----------------|----------|
+|Edinburgh WMT17| -- | -- | 36.20 |28.30|
+|Example | 29.08 | 31.04 | 36.80 | 29.50|
+
+Improving on Edinburgh's system submission by 1.2 BLEU. Training all components for more than 8 epochs is likely to improve results. So could increasing model dimensions, but the could require careful hyperparamter tuning, especially dropout regularization.