Comments (2)
Hi, I am also reproducing this model, did you succeed in reproducing it? I'm experiencing the problem that the contrastive loss never changes while training, have you encountered this problem?
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@Camellia-tx they have already reproduced it over at OpenClip https://laion.ai/blog/coca/
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Related Issues (18)
- Maybe don't need this rearrange HOT 2
- Contrastive loss should be applied to L2-normed embeddings instead of layer normed? HOT 2
- Image tokens dimension mismatch with the layernorm bias dimension HOT 12
- LayerNorm after attentional_pooler HOT 1
- convolution encoder better result then vit HOT 13
- Residual connection misssing?
- register_buffer for masks and position encodings breaks DDP HOT 14
- pad_dim_to() is not implemented HOT 3
- Reproduce Problem HOT 2
- Any plan to share the pre-trained models? HOT 24
- contrastive_labels - dist batch size isn't correct
- Generating the caption of a given image HOT 2
- why train VIT visual encoder first? HOT 1
- Extractor in vit_pytorch will detach the tensor. HOT 2
- Do you plan to give the code for fine-tuning? HOT 4
- attn_mask HOT 3
- How to train the model using my own dataset? HOT 1
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