-
尊敬的作者您好,
我完成了train,运行test,现在acc能达到80%,但bleu只有不到0.3,请问是程序哪里出问题了吗?还是说我对bleu的理解有错误?请问bleu的计算就如代码中那样就ok吗?
-
Bonjour,
Il me semble que la carte utilise une couleur de fond verte pour les zones sans landuse explicite. cela peut être déroutant lorsque les landuse=residential sont mappés par "blocs"
exemp…
-
Hello. I tried using the demo code of Codi (https://github.com/microsoft/i-Code/tree/main/i-Code-V3) to reproduce results on the AudioCaps dataset. However, I was unable to achieve the results reporte…
-
Hello, @ch3cook-fdu!
Thanks for sharing your work about indoor 3d dense captioning. Recently I have tried to train the Vote2Cap-DETR(++) with different configs. I noticed that there is a slightly …
-
We have few metric based on category of metric which can be controllable with few parameter (if based on n-gram, can choose n)
more flexible!
in my opinion,
- give metrics initial values(maybe in…
-
Hi
Just for the sake of clarity I was wondering as to what the loss and BLEU you can see in Tensorboard refer to? Are these the loss and BLEU on the training set or on the evaluation/development se…
ghost updated
7 years ago
-
In the BLEU.py, function modified_precision(references, hypothesis, n):
def modified_precision(references, hypothesis, n):
# Extracts all ngrams in hypothesis.
counts = Counter(ngrams(hyp…
-
Thank you for sharing your code.
Is it possible to detail what represent the blue bands ?
-
Hi
I'm trying to reproduce your work about YELP dataset.
However, the BLEU score that i've gotten is quite different.
I trained the model 200 times and got the score from your multi-bleu.py file…
-
Dear Authors,
Thanks for the great work and an amazing repo!
I trained an unsupervised MT model, using a pretrained MLM model that I downloaded based on the README file. After training for man…