- The final model is implemented in
FINAL_MODEL_deberta_wrs_categorical.py
.
-
The
Final_Model_on_DevSet.ipynb
notebook is used to:- Load the saved trained model.
- Test it on the development dataset (
dev_semeval_parids-labels.csv
). - Generate labels using the trained model.
-
Generated labels for devset is in
dev.txt
and for the hidden test set is intest.txt
.
- The logs from training our final model (DeBERTa with weighted random sampling and categorical columns) are stored in
FINAL_MODEL.log
.
To train and save the final model, run the FINAL_MODEL_deberta_wrs_categorical.py
.
For testing and label generation on development and test datasets, execute the Final_Model_on_DevSet.ipynb
notebook.