Comments (1)
xiazhi1
commented on July 24, 2024
Hello. Thanks for sharing your code!
I'm curious about the training dataset to evaluate "nocaps".
I was wondering if the model(clipcap model) was trained with the train split of "MS COCO Karpathy's splits" and evaluated using the validation split of "nocaps".
@yoojin9649 have you solved that? I have same problem with you? could you shall your experience about it?
from clip_prefix_caption.
Related Issues (20)
- 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
- clipcap checkpoints file
- Can BERT be used as language model for generating captions? HOT 1
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