Comments (1)
Hi @cyrilzakka,
We trained our model on single 1080 with 11GB memory. So It don't make sense to me.
Are you sure your GPU was completely empty when starting the training?
Do you use the same data? (COCO)
Did you keep the same GPT-2 model?
from clip_prefix_caption.
Related Issues (20)
- 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
- Concatenation of prefix and embedding_text in torch.cat
- clip_prefix_captioning_inference HOT 1
- Need help with installation
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from clip_prefix_caption.