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WIP Text classification using multilingual BERT (mBert)

This repo attempts to reproduce the results presented in Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT, regarding a zero-shot text classification on MLdoc dataset.

More specifically, the scores for zero-shot cross-lingual transfer included in the original work are the following:

Language Score
en 94.2
de 80.2
es 72.6
fr 72.6
it 68.9
ja 56.6
ru 73.7
Average 74.5

In contrast, the scores that we managed to reproduce are the following:

Language Score
en 96.5
de 79.1
es 73.4
fr 78.0
it 65.7
ja 71.4
ru 62.8
Average 75.2

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