The model was finetuned for 200 iterations with a batch size of 256 samples per iteration. During finetuning, we used prompts of the form: "a(n) <animal> <activity>". We selected the animal and activity from the following lists, so try those for the best results. However, we also observed limited generalization to other prompts.
