4th place solution code for the CommonLit Readability prize hosted on Kaggle (August 2021) https://www.kaggle.com/c/commonlitreadabilityprize
The writeup can be found here: https://www.kaggle.com/c/commonlitreadabilityprize/discussion/258148
Edit src/config.py to reflect the input and output locations on your machine
To train a single model using a config listed in hyperparams.yml run:
python train.py --config <config_name>
To run a 5-fold cross validation, using 5 different seeds, use the shell script train.sh. This script will also run infer.py and
generate out-of-fold (OOF) predictions for stacking models.
sh train.sh <config_name>
The final submission code that was used for inference in a Kaggle notebook is in the submissions folder
submission.py- Public RMSE: 0.451, Private RMSE: 0.447submission_netflix.py- Public RMSE: 0.452, Private RMSE: 0.446