A Additional Results In addition to C

Table 7 presents our results of the zero-shot transfer experiment described in 3.1. CLIP outperforms its sub-variants and the CLIP model on the ImageNet1K dataset. CLIP models (the last three rows) outperform CLIP by a large margin across all the datasets. We use a weight decay of 0.01 We experiment with 14 visual classification datasets, details of which are present in Table 9. Results have been averaged over 5 different seeds used for training the linear classifier. Table 11 presents the results for the consistency score defined in Equation 2. We find that C-C In 4.2, we described a novel fine-grained and coarse-grained analysis to investigate the zero-shot Figure 5 illustrates the distribution of the subclasses across the superclasses for these ImageNet benchmarks.