Comments (1)
can you share more details about the dataset characteristics and the loss curve?
Also, keep in mind that if the loss is not dramatically increasing, you still judge from the downstream task.
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Related Issues (20)
- Produce macro-averaged F1-score (MF1) results HOT 2
- About training a new dataset HOT 3
- Some Questions
- question regarding the implementation of your temporal contrasting loss HOT 1
- there might be code error for augmentation? HOT 2
- Contextual Contrasting Loss Function HOT 1
- Badly in need of a pretrained model of epilepsy.Could anyone help? HOT 1
- Augmentations and # of training epochs HOT 1
- Obtaining labels on a completly unsupervised dataset HOT 1
- data augment HOT 1
- Can not repeat FD dataset preprocess HOT 3
- the process of self-supervised experiment HOT 5
- Nan question in SupConLoss HOT 4
- Problem with Augmentation HOT 4
- how to handle overfitting problem? HOT 2
- Problem with self_supervised mode training HOT 1
- Request for training logs and detailed settings HOT 5
- Add license HOT 1
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