This model is a fine-tuned version of
deepset/deberta-v3-base-squad2 on an
MRQA dataset.
It achieves the following results on the evaluation set:
This model is trained for performing extractive question-answering tasks for academic essays.
The training approach uses the fine-tuning approach of transfer learning on the pre-trained model to perform NLP QA tasks.
Each time a model was trained with one dataset only and saved as the PTMs for the next training.
This model is the last model that trained with
MRQA(test split).
