contrastive_loss
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wangz10
Experiments with supervised contrastive learning methods with different loss functions
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Thanks for your sharing. I have some trouble in logits_mask. ` # mask-out self-contrast cases logits_mask = torch.scatter( torch.ones_like(mask), 1, torch.arange(batch_size * anchor_count).view(-1, 1).to(device), 0 ) mask = mask *...
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Hi, it is strange when using custom dataset the loss is nan (I just tried supervised_nt_xent_loss and max_margin_contrastive_loss). do you have any idea ? thanks
