Reproducing CLIP score in the paper

[kkjh0723]

Hi,

Thanks for opening the source code.
I'm trying to reproduce the scores for CLIP in the paper but fail to reproduce it.
I use the sample config file by changing MODE_NAME to CLIP (ViT-L/14).
I evaluate all the datasets in the corpus then average the final accuracy.
I got the following score which is quite different from the paper,

Object: 0.8205209550766983
Attribute: 0.6806109948697314
Relation: 0.67975

How can I reproduce the scores in the paper?

[ayushchakravarthy]

Hi, @kkjh0723

Did you have to make any changes to the code in order to get it working? I am also trying to replicate the CLIP result but unable to do so.

Thanks!

[kkjh0723]

@ayushchakravarthy ,
If I remember correctly, there were some minor changes required to run CLIP.

In the following lines,
I changed result_tmp[i][0][1] to result_tmp[i][0][0] and result_tmp[i][1][1] to result_tmp[i][1][0].

Also, in this lines, I changed it as following,

sample_t = random.sample(sample_true,self.sample_num if len(sample_true)>self.sample_num else len(sample_true))
sample_f = random.sample(sample_false,self.sample_num if len(sample_false)>self.sample_num else len(sample_false))

[feilvvl]

Hi，@kkjh0723
Have you reproduced the results of this work? I have tried many times, but the end result is not satisfactory.
I used the CLIP(ViT-B/32) as my model. And I select the "ITM" task to test.
For the final average scores,
Attribute : 68.6477405706409
Relation : 74.7221415628598
Object : 89.4515112110188
The result is much higher than the paper. So I'd like to know how much data you used, since your results don't vary that much.
Thank you!