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deepset
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roberta-large-squad2

Question Answering
Transformers
PyTorch
JAX
Safetensors
English
roberta
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Inference Endpoints
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  license: cc-by-4.0
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  datasets:
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  - squad_v2
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # roberta-large for QA
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  license: cc-by-4.0
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  datasets:
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  - squad_v2
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+ base_model: roberta-large
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+ model-index:
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+ - name: deepset/roberta-large-squad2
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+ results:
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+ - task:
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+ type: question-answering
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+ name: Question Answering
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+ dataset:
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+ name: squad_v2
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+ type: squad_v2
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+ config: squad_v2
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+ split: validation
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+ metrics:
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+ - type: exact_match
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+ value: 85.168
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+ name: Exact Match
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+ - type: f1
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+ value: 88.349
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+ name: F1
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+ - task:
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+ type: question-answering
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+ name: Question Answering
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+ dataset:
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+ name: squad
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+ type: squad
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+ config: plain_text
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+ split: validation
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+ metrics:
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+ - type: exact_match
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+ value: 87.162
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+ name: Exact Match
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+ - type: f1
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+ value: 93.603
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+ name: F1
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+ - task:
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+ type: question-answering
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+ name: Question Answering
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+ dataset:
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+ name: adversarial_qa
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+ type: adversarial_qa
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+ config: adversarialQA
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+ split: validation
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+ metrics:
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+ - type: exact_match
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+ value: 35.900
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+ name: Exact Match
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+ - type: f1
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+ value: 48.923
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+ name: F1
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+ - task:
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+ type: question-answering
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+ name: Question Answering
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+ dataset:
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+ name: squad_adversarial
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+ type: squad_adversarial
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+ config: AddOneSent
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+ split: validation
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+ metrics:
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+ - type: exact_match
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+ value: 81.142
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+ name: Exact Match
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+ - type: f1
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+ value: 87.099
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+ name: F1
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+ - task:
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+ type: question-answering
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+ name: Question Answering
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+ dataset:
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+ name: squadshifts amazon
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+ type: squadshifts
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+ config: amazon
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+ split: test
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+ metrics:
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+ - type: exact_match
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+ value: 72.453
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+ name: Exact Match
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+ - type: f1
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+ value: 86.325
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+ name: F1
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+ - task:
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+ type: question-answering
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+ name: Question Answering
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+ dataset:
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+ name: squadshifts new_wiki
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+ type: squadshifts
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+ config: new_wiki
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+ split: test
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+ metrics:
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+ - type: exact_match
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+ value: 82.338
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+ name: Exact Match
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+ - type: f1
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+ value: 91.974
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+ name: F1
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+ - task:
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+ type: question-answering
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+ name: Question Answering
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+ dataset:
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+ name: squadshifts nyt
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+ type: squadshifts
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+ config: nyt
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+ split: test
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+ metrics:
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+ - type: exact_match
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+ value: 84.352
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+ name: Exact Match
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+ - type: f1
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+ value: 92.645
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+ name: F1
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+ - task:
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+ type: question-answering
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+ name: Question Answering
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+ dataset:
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+ name: squadshifts reddit
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+ type: squadshifts
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+ config: reddit
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+ split: test
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+ metrics:
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+ - type: exact_match
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+ value: 74.722
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+ name: Exact Match
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+ - type: f1
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+ value: 86.860
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+ name: F1
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  ---
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  # roberta-large for QA