readme: learning rate: 3e-5  
  training epochs: 5  
  batch size: 8  
  seed: 42  
  model: bert-base-uncased  
  The model is pretrained on MNLI (we use kangnichaluo/mnli-2 directly) and then finetuned on CB which is converted into two-way nli classification (predict entailment or not-entailment class)