This is an NLI model based on T5-XXL that predicts a binary label ('1' - Entailment, '0' - No entailment).
It is trained similarly to the NLI model described in the TRUE paper (Honovich et al, 2022), but using the following datasets instead of ANLI:
- SNLI (Bowman et al., 2015)
- MNLI (Williams et al., 2018)
- Fever (Thorne et al., 2018)
- Scitail (Khot et al., 2018)
- PAWS (Zhang et al. 2019)
- VitaminC (Schuster et al., 2021)
The input format for the model is: "premise: PREMISE_TEXT hypothesis: HYPOTHESIS_TEXT".
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