



bert-base-cased model trained on quora question pair dataset. The task requires to predict whether the two given sentences (or questions) are `not_duplicate` (label 0) or `duplicate` (label 1). The model achieves 89% evaluation accuracy


{"datasets": ["qqp"], "inference": false}
transformers pytorch bert text-classification dataset:qqp autotrain_compatible region:us
TAGS
#transformers #pytorch #bert #text-classification #dataset-qqp #autotrain_compatible #region-us 





bert-base-cased model trained on quora question pair dataset. The task requires to predict whether the two given sentences (or questions) are 'not_duplicate' (label 0) or 'duplicate' (label 1). The model achieves 89% evaluation accuracy


TAGS
#transformers #pytorch #bert #text-classification #dataset-qqp #autotrain_compatible #region-us 

passage: TAGS
#transformers #pytorch #bert #text-classification #dataset-qqp #autotrain_compatible #region-us 
