Weights loaded through torch.hub.load give 0% performance

I download imagenet data through Kaggle and loaded the swav pretrained weights using the torch.hub.load method.

After that, for evaluation, we tried to evaluate the imagenet val set as a swav model. But the performance is 10% Is it possible to receive data from Kaggle?(ImageNet Object Localization Challenge | Kaggle)

If anyone knows please help me.

The repository contains an evaluation script, which I would assume should be able to reproduce the reported performance.
Are you able to run it and verify the perf.?