By fine-tuning on, in some cases, as few as 100 examples, both NLI models are able to recover almost the entire performance gap on both the word overlap and negation challenge datasets (Outcome 1).
both models struggle to adapt to the spelling error and length mismatch challenge datasets (Outcome 2).