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README.md

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@@ -192,7 +192,7 @@ Note 2 (**Update: 22-01-2019**): Most of the English-language experiments are ex
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|12|English|25| Fasttext | Fasttext | nonstatic| 65.9558 | 91.1536 |
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|13|English|49| Fasttext | zeros | static| 51.3862 | 78.7806 |
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|14|English|49| Fasttext | zeros | nonstatic| 59.2086* | 84.8054 |
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|15|English|49| Fasttext | Fasttext | static| NaN (TBA) | NaN (TBA) |
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|15|English|49| Fasttext | Fasttext | static| 51.7878 | 79.9472 |
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|16|English|49| Fasttext | Fasttext | nonstatic| 55.3833* | 80.4958 |
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* Note that the experiment 14 resulted with a better score than 16, unlike other similar setups. The main reason is, I changed the "learning_rate" of the optimizer to a smaller value for the experiment 16 (well, for the sake of the experiment =)), and it appears that smaller learning rate made the learning process a bit slower (in terms of number of epochs). If I can find a chance to run this experiment again in Google Cloud (a.k.a. have enough credit to run it one more time), I will update the learning rate properly.

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