Comments (7)
Hello, I am also going to try to train and test this model recently, but I am not very familiar with these evaluation indicators. Do you mainly rewrite the code when you are doing evaluation or refer to some external libraries?
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Hi @rm-rf-me , we used COCO caption evaluation tool for our evaluation to get the above numbers
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got it, thanks a lot !
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Hi @JHLee0513,
We have not validated that the code reproduce the exact numbers, but we did publish the model weights so you could check your evaluation script.
Please also note we have used Karpathy et el. script and the evaluation code of Oscar.
Is it possible that a bug or slightly different hyperparameters were inserted when publishing the code.
Sorry for not able to provide a solution to this issue.
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Hi @rmokady,
Thanks for the reply, I believe that's a good idea. It seems like there's only the pretrained model on resnet encoder, is there also one with ViT?
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Sorry, at this point we are not planning to release additional models
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Got it, thanks for the info!
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Related Issues (20)
- it would be None
- Question about "clip_length" and "prefix_length" difference
- Some questions about fine-tune with custom dataset HOT 8
- AttributeError: module 'cog' has no attribute 'Predictor' HOT 3
- model overfitting issue HOT 5
- Parsing conceptual caption does not function properly as it removes some images and replaces them with zero tensor. HOT 1
- use different encoder HOT 3
- How to evaluate model with meteor, BLEU, or rouge HOT 3
- AttributeError: module 'cog' has no attribute 'Predictor' HOT 2
- Train costom data HOT 1
- Metrics of ClipCap's Original Performance HOT 2
- use multiple gpus to train
- How to evaluate the trained model? Is there a test.py ? HOT 6
- did anyone reproduce the transformer network with frozen GPT-2? HOT 7
- data json
- Where is the file 'model_wieghts.pt' exists?
- How to do eval, how to set the prompt
- How to inference after training on my own dataset HOT 1
- beamsearch lead to a worse result in inference script?
- Error in Load model weights HOT 3
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