2nd place solution in the Efficiency Track

Kaggle Feedback Prize - Predicting Effective Arguments

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This repository contains the code that was used to train the 2nd place solution in the Efficiency Track of Kaggle Feedback Prize - Predicting Effective Arguments competition.

We followed a multi-stage approach to training the winning model, so the exact score may be hard to reproduce. I will highlight below the key elements of the solution:

1. MLM pre-training: notebooks/HF-pret-7.py
2. 1st stage models: notebooks/HF-43.ipynb
3. 2nd stage model distillation on pseudolabels: notebooks/HF-56-pseudolabels.ipynb
4. 2nd stage model finetuning: notebooks/HF-43pseudo2.ipynb