roberta-large-finetuned-squad2
Model description
This model is based on roberta-large and was finetuned on SQuAD2.0. The corresponding papers you can found here (model) and here (data).
How to use
from transformers.pipelines import pipeline
model_name = "phiyodr/roberta-large-finetuned-squad2"
nlp = pipeline('question-answering', model=model_name, tokenizer=model_name)
inputs = {
'question': 'What discipline did Winkelmann create?',
'context': 'Johann Joachim Winckelmann was a German art historian and archaeologist. He was a pioneering Hellenist who first articulated the difference between Greek, Greco-Roman and Roman art. "The prophet and founding hero of modern archaeology", Winckelmann was one of the founders of scientific archaeology and first applied the categories of style on a large, systematic basis to the history of art. '
}
nlp(inputs)
Training procedure
{
"base_model": "roberta-large",
"do_lower_case": True,
"learning_rate": 3e-5,
"num_train_epochs": 4,
"max_seq_length": 384,
"doc_stride": 128,
"max_query_length": 64,
"batch_size": 96
}
Eval results
- Data: dev-v2.0.json
- Script: evaluate-v2.0.py (original script from here)
{
"exact": 84.38473848227069,
"f1": 87.89711571225455,
"total": 11873,
"HasAns_exact": 80.9885290148448,
"HasAns_f1": 88.02335608157898,
"HasAns_total": 5928,
"NoAns_exact": 87.77123633305298,
"NoAns_f1": 87.77123633305298,
"NoAns_total": 5945
}
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