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csarron/bert-base-uncased-squad-v1

We present a fine-tuned BERT-base uncased model for question answering on the SQuAD v1 dataset. Our model achieves an exact match score of 80.9104 and an F1 score of 88.2302 without any hyperparameter search.

We present a fine-tuned BERT-base uncased model for question answering on the SQuAD v1 dataset. Our model achieves an exact match score of 80.9104 and an F1 score of 88.2302 without any hyperparameter search.

Public
$0.0005/sec

HTTP/cURL API

 

Input fields

questionstring

question relating to context


contextstring

question source material


webhookfile

The webhook to call when inference is done, by default you will get the output in the response of your inference request

Input Schema

Output Schema


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