As described in the docs 167, the input size should be at least 224x224 and as far as I know this size was used for training as shown here 174.

All pre-trained models expect input images normalized in the same way, i.e. mini-batches of 3-channel RGB images of shape (3 x H x W), where H and W are expected to be at least 224.