waby

icon indicating a website link wabyking.github.io/old.html icon indicating an email [email protected]

icon company The Chinese University of Hong Kong, Shenzhen icon location Shenzhen, China

Results 9 issues of waby

TODO: With Ragu to test the Robustness of the Models

Ragu : https://github.com/wabyking/Ragu

TODO: use different pretrained Model like GPT and XLNET

TODO : add ensemble strategy

Before we start to introduce our project， we should add enough citation for our code

More Models supporting?

1 comment

Visualization with confusion matrix for text classfication

When to support more dataset?

newer version of QNLI ?

Could anyone tell me what happened here with the issue mentioned? "Please make sure that you are submitting your results with newer version of QNLI"

Is the compass fixed during training timestamped text?

1 comment

from twec.twec import TWEC from gensim.models.word2vec import Word2Vec def train(): aligner = TWEC(size=30, siter=10, diter=10, workers=4) aligner.train_compass("examples/training/compass.txt", overwrite=False) slice_one = aligner.train_slice("examples/training/arxiv_14.txt", save=True) slice_two = aligner.train_slice("examples/training/arxiv_9.txt", save=True) def test(): model1 =...