BERT QA SQuAD 2.0
Fine-tuned BERT Base model for extractive Question Answering.
Usage
from transformers import BertTokenizerFast
from transformers import BertForQuestionAnswering
MODEL_NAME = "Vu74269/bert-squadv2-base"
tokenizer = BertTokenizerFast.from_pretrained(MODEL_NAME)
model = BertForQuestionAnswering.from_pretrained(MODEL_NAME)
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Model tree for Vu74269/bert-squadv2-base
Base model
google-bert/bert-base-uncasedDataset used to train Vu74269/bert-squadv2-base
Evaluation results
- Exact match on SQuAD2.0self-reported71.456
- F1 on SQuAD2.0self-reported75.130