Transformers are the state of the art for NLP tasks now, and as @Johnowhitaker mentioned, libraries like SimpleTransformers and Fastai do all the heavy lifiting of being able to utilize transformers for our use case. I used Roberta base and large models and in the end did an ensemble. Thanks to Zindi for organizing such an amazing competition. Hope there are many more competitions to come. Also congratulations to everyone who participated and made an effort to submit their solutions, you all did a great job.
Here's my solution.
Thanks for sharing the winning solution
You're welcome Aninda.
Congratulations!! nice solution. Thank you.
Thanks JavaBlack.
Congratulations!! Nikhil
Thank you Shankar
Thanks Nikhil for the solution, i had a similar solution using roberta but not the distant score as you have
Rank 4
https://github.com/rajat5ranjan/Zindi-Solutions/tree/master/To%20Vaccinate%20or%20Not%20to%20Vaccinate%20%23ZindiWeekendz
Thanks Rajat for the solution, its very elegant.
Thanks for sharing @devnikhikmishra. I see you've used blending in the final stage - would you care to point me in the right direction for finding weights when blending?
Keep weights so that your overall validation score is maximized but don't fine tune it too much, as you can in my solution, the same weights I have applied to validaiton data is being applied to the test data as well.
Great solution Mishra.. I've always paid attention to your solutions and approach, Always giving us something to learn from..Thank you. I want to ask, when blending do you intuitively assign weights to the individual models and see how well it scores on the LB ? or how do you do it.
You've answered my question already. Thanks
@Enigma, I set the weights so that, my validaiton score is maximized, then use it on the leaderboard, yes its a bit of intuition and experience with many competitions, that I have attended, but I don't fine tune it too much, not more than the 2nd place, too much fine tuning can lead to overfitting.
Zindi should give you the grandmaster tittle now . Congratulations man
thank you @fuzzywuzzy
Thanks for sharing :)
you're welcome @fibo