Comments (2)
jihoontack
commented on June 12, 2024
Hi!
The command seems okay.. the only thing that is different is the optimizer.
Maybe you should use another learning rate value (e.g., 1e-3, 1e-4), since we commonly use a smaller learning rate for adam optimizer. And also removing the learning rate scheduler might help for adam(also the learning rate warmup).
Using lars will be a better option, since we have followed the same hyperparameters from SimCLR.
Best,
Jihoon
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jihoontack
commented on June 12, 2024
If you have any questions or troubles, please feel free to reopen the issue
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Related Issues (20)
- Your data is 4 times bigger than Simclr. Is it fair? HOT 1
- Can you share the implementation detail for baseline?(Cross-Entropy) HOT 3
- Why did you do the rotation transformation firstly and then apply the simlcr_aug？ HOT 1
- batch size HOT 4
- The result of using the checkpoint of unlabeled ImageNet-30 HOT 3
- CSI/training/unsup/simclr_CSI.py HOT 1
- Error while running the training script. HOT 1
- GPU requirement for training ImageNet model HOT 1
- About how to get result for noise condition
- How to define the joint_labels
- ImportError: /lib64/libstdc++.so.6: version `GLIBCXX_3.4.21' not found HOT 1
- The hyper parmeter of Rot(resnet18) and Rot+Trans(resnet18)
- Reproducing results for Cifar100 ens multi-class
- How can i train it on my own dataset? HOT 10
- GPU requirement for training One-class ImageNet-30
- Some questions about Supervised_NT_xent
- baseline code?
- cannot reach the results when removing the four-way rotation classifier
- why use the hfilp() function during training? What does it do?
- Model is provided extra arguments.
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