DAMO-NLP-SG/

EQA-PMR-large

EQA-PMR-large is initialized with PMR-large and further fine-tuned on 6 Extractive Question Answering (EQA) training data from training split of MRQA.

The model performance on the in-dev sets are:

Note that the performance of RoBERTa-large and PMR-large are single-task fine-tuning, while EQA-PMR-large is a multi-task fine-tuned model. As it is fine-tuned on multiple datasets, we believe that EQA-PMR-large has a better generalization capability to other EQA tasks than PMR-large and RoBERTa-large.

You can try the codes from this repo for both training and inference.