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Hi, could i know your hyper parameters when training with DPO:
batch size, beta, learning rate
I train on 8 A100 with batch size per device = 16 (as you said in the paper, bz=128), it is out of me…
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Hi YiyanXu!
Thank you for your insightful work.
Can you share the set of hyperparameters that diffrers from your default values in the script, to reproduce the result of "ML-1M clean dataset"?
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With my experiment's hyperparameters follows:
![image](https://github.com/AILab-CVC/FreeNoise/assets/77779175/3909d86d-4345-4432-b842-6c7f5f8967d6)
FreeNoise occupies 60GB of VRAM. Why does it occu…
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Generator/Discriminator loss is not particularly interpretable. If one prints out these metrics via the verbose option, it's difficult to assess whether the GAN is improving or not. I've run scenari…
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- PyTorch-Forecasting version: 0.10.1
- PyTorch version: 1.8.1
- Python version: 3.8.8
- Operating System: windows10
### Expected behavior
I use the **optimize_hyperparameters** from **pytorch_…
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We keep training and test data in the "datasets" folder, and maybe a similar convention for output files would help? At the moment annotations made by the inference script go into the folder for the d…
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Thank you for your great work!
I am wondering exact hyperparameters when you get the best AUC score on Ped1 dataset.
Maybe the hyperparameters aside from iterations are written in your original pa…
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Thanks for your great work.
I use the model in Tranfer-Learning-Library and the method in DEV to search the best learning rate.
When I select the hyperparameters, the validation set separated from t…
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Hi,
Thank you very much for building this tool. I want to use it to segment/align libri-light for training TTS. I am new to this tool. Can anyone help me with the following questions:
1. If I wa…
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I am trying to transcribe audio using WhisperX. It's giving the best transcription, but the only problem I am having is that it's missing some audio parts. I don't think it's a VAD issue because I hav…