We present a BERT-based language model called bert-large-uncased-whole-word-masking-squad2, trained on the SQuAD2.0 dataset for extractive question answering. The model achieves high scores on exact match and F1 metrics.
We present a BERT-based language model called bert-large-uncased-whole-word-masking-squad2, trained on the SQuAD2.0 dataset for extractive question answering. The model achieves high scores on exact match and F1 metrics.
fc342ddb2da7ae9be8275f3f9970f0b59571caa5
2023-03-03T02:57:08+00:00