We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Hello.
I tried to train the model, (I didn't change anything.) And I got 60.45 F-score.(intermediate_tvsum_non_overlapping_split_avg)
But the paper states that the F-score is 61.5.
Why did the score come out lower?
Do I need to change other parameter values?
The text was updated successfully, but these errors were encountered:
Hi @Min-seong-son I got the same results when I tried to train the model. Did you solve this?
Sorry, something went wrong.
No branches or pull requests
Hello.
I tried to train the model, (I didn't change anything.) And I got 60.45 F-score.(intermediate_tvsum_non_overlapping_split_avg)
But the paper states that the F-score is 61.5.
Why did the score come out lower?
Do I need to change other parameter values?
The text was updated successfully, but these errors were encountered: