Open eveliao opened 5 years ago
I mean it could be Two piece of one sentence not actually real sentence. Well It doesn't matter both two sentences and one sentence. And this example is came out from the original paper. So.. you can choose whatever you want 👍
I am interested in the prediction of next sentence. If the input data are all continuous sentences, how can the model randomly select 50% for the continuous and 50% for the discontinuous?
And I also think if you mention there need spaces around '\t' is better, unless we will have more vocabs if we don't have spaces.
Yeah, this is clear then.
I mean it could be Two piece of one sentence not actually real sentence. Well It doesn't matter both two sentences and one sentence. And this example is came out from the original paper. So.. you can choose whatever you want 👍
You mentioned that
and gave an example:
However, the example is actually ONE sentence in one line. Should it be:
(suppose these two sentences are continuous in the broader context)