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datasets: - squad - newsqa - hotpot_qa - biu-nlp/qamr - search_qa - natural_questions - trivia_qa - duorc language: - en metrics: - squad
Model Card for Model ID
Checkpoint of MetaQA trained only on extractive QA datasets from MetaQA: Combining Expert Agents for Multi-Skill Question Answering (https://arxiv.org/abs/2112.01922)
Evaluation Results
{
"SQuAD": {
"exact_match": 86.73139158576052,
"f1": 92.65156746563402
},
"NewsQA": {
"exact_match": 55.84045584045584,
"f1": 71.73547617592037
},
"HotpotQA": {
"exact_match": 64.8135593220339,
"f1": 79.61023604916922
},
"SearchQA": {
"exact_match": 75.04122497055359,
"f1": 81.37280639135817
},
"NaturalQuestionsShort": {
"exact_match": 69.50763477718915,
"f1": 81.30374741690376
},
"TriviaQA-web": {
"exact_match": 77.18396711202466,
"f1": 81.52989853015538
},
"QAMR": {
"exact_match": 72.07531203723292,
"f1": 83.9068616637681
},
"DuoRC": {
"exact_match": 39.35626573106552,
"f1": 51.033295034422466
}
}
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