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View Code? Open in Web Editor NEWOfficial Implementation of Energy Transformer in PyTorch for Mask Image Reconstruction
Home Page: https://arxiv.org/abs/2302.07253
License: MIT License
Official Implementation of Energy Transformer in PyTorch for Mask Image Reconstruction
Home Page: https://arxiv.org/abs/2302.07253
License: MIT License
Thank you for providing the PyTorch version of the Energy Transformer originally implemented in JAX. This is really helpful for me, but I have not yet been able to reproduce the results like example1.png
or images in visuals
directory (gif files).
Let me confirm that the example model model.pth
is trained with the config file model_config.txt
in the same directory, not with the config file of the same name in the parent directory energy-transformer-torch/model_config.txt
? If this is correct, some parameters ('alpha': 5.0, 'attn_beta': 16.0, 'epochs': 10000) are much bigger than the hyperparameter settings reported in the paper p.16 of 2302.07253, and some ('b1': 0.99, 'b2': 0.999, 'batch_size': 512, 'learning_rate': 5e-05, 'weight_decay': 0.001) are still somewhat different.
I know that the best hyperparameters would be different since the paper uses ImageNet-1k to train the model and here uses CIFAR-10/100. I just would like to know in what configuration the example model is trained and how I can reproduce the results of example1.png
or images in visuals
directory.
Thanks for any additional details you can provide, I will be trying to reproduce the results in this repo.
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