All three models achieve accuracy above 80% on the SNLI test set when trained only on SNLI.
in the mixed setting, we use the full MultiNLi training set and randomly select 15% of the SNLi training set at each epoch, ensuring that each available genre is seen during training with roughly equal frequency.