metadata
thumbnail: >-
https://github.com/SauravMaheshkar/chaii-Hindi-Tamil-QA/blob/main/assets/Coffee%20Banner.png?raw=true
tags:
- kaggle
- rembert
- pytorch
- question-answering
language: multilingual
license: cc0-1.0
inference: false
datasets:
- Commonlit-Readibility
This dataset contains the google/rembert model weights according to my team's experimentation strategy during the chaii - Hindi and Tamil Question Answering competition. They are listed below with their corresponding public LB score:-
Huggingface Hub Link | Public LB Score |
---|---|
SauravMaheshkar/rembert-maxseq-400-docstride-128-chaii | 0.724 |
SauravMaheshkar/rembert-maxseq-384-docstride-135-chaii | 0.723 |
SauravMaheshkar/rembert-maxseq-400-docstride-135-chaii | 0.737 |
SauravMaheshkar/rembert-maxseq-384-docstride-128-chaii | 0.725 |