Comments (2)
Hi, has anybody been able to solve this yet?
from ijepa.
Hi @MidoAssran, I'm currently facing the same issue, the training loss act very weird like above @ChristianEschen's chart, how could we resolve that?
Best regards,
Quan
from ijepa.
Related Issues (20)
- Torch version HOT 1
- All blocks have same size within a batch HOT 2
- config files about vit-small and vit-base HOT 3
- Training loss increases HOT 3
- Error in interpolation of pos_embedd when using data of different dimension
- RuntimeError: Default process group has not been initialized, please make sure to call init_process_group. HOT 2
- I Just download the image1k dataset from huggingface, what should i do next to process the tar.gz file and train this model HOT 3
- Is there any visual code?
- How to evaluate the performance of pre-trained model?
- Struggling to replicate evaluation results HOT 14
- An error was reported while training on multiple Gpus HOT 1
- How to load ijepa checkpoints? HOT 6
- Downstream task HOT 5
- Image resolution & folder structure for unsupervised pre-training HOT 1
- imagenet1k Huggingface extraction HOT 1
- Training from scratch HOT 12
- generative model decoder for target-encoder
- what is the difference between root_folder and image_folder? HOT 1
- Struggling to Train Downstream Classifier HOT 5
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