Comments (3)
I am training on this dataset too, but your val_loss much bertter than me. Can u share some of your steps of training on it?
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I am training on this dataset too, but your val_loss much bertter than me. Can u share some of your steps of training on it?
Maybe you should check whether you modified the img transforms. It's good to use the tf that is specifically for MIMIC not Chexpert.
But you don't need to worry too much about the local val loss. I tested this model on some downstream tasks and got normal results, even the local val loss is super weird
from gloria.
I am training on this dataset too, but your val_loss much bertter than me. Can u share some of your steps of training on it?
Maybe you should check whether you modified the img transforms. It's good to use the tf that is specifically for MIMIC not Chexpert.
But you don't need to worry too much about the local val loss. I tested this model on some downstream tasks and got normal results, even the local val loss is super weird
Sorry, I am not so familiar with these transforms. What is the tf means in your experiment. I also met some wired thing like the downstream tasks like binary classification on pnumonia troax always shows auroc=0.5 and any pic going through the model will become an all-none-tensor. The Adam lr never changed. I don't know is that normal.
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Related Issues (20)
- No such file or directory: '/gloria/CheXpert-v1.0/master_updated.csv' HOT 2
- Reproduced results on RSNA Pneumonia dataset HOT 1
- The reported results of RSNA dataset HOT 1
- PneumothoraxImageDataset for segmentation HOT 4
- In the segmentation task, EncodedPixels seems to have an extra space, which I remove, but... HOT 15
- pretrained code HOT 21
- how to load those saved models to continue training HOT 1
- Finetuned model for segmentation? HOT 1
- text prompts for RSNA dataset HOT 1
- image text Retriver HOT 1
- Some questions about the similarities? HOT 2
- Hello, if I don't have the file "master_updated. csv", how can I reproduce your experiment? Can you give me this file? Otherwise, the code won't run. HOT 1
- Does the CheXpert dataset include reports now? HOT 2
- Can not download the pretrained model HOT 5
- Hello, I can't find chexpert_8x200.csv HOT 1
- RuntimeError: grad can be implicitly created only for scalar outputs
- Large CPU usage rate
- Considerations for cheXpert 5*200?
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