Getting Accuracy of Just 85% with google word2 vec model

Hi,
I just wanted to confirm that is this the maximum accuracy I can acheive .
And what is the concept of providing 2 word embeddings.

Which one do we use Word2Vec Pretrained model or the glove file mentioned

Hey @chiragwxN, yes 85% is maximum achievable accuracy. Actually you could apply glove embeddings as well, but results will not be favourable, you will get very low accuracy. Just for exploration point of view, the challenge talks about two types of embedding.

Those who have achieved 100, has used an easy hack, there are only 20 examples, and your output came wrong for 3 of them, so they directly changed that.

Hope this cleared your doubt.
Plz mark the doubt as resolved in my doubts section. :blush: