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Adding the **timeout** parameter to the .fit() method, that should force the library to return best known solution found so far as soon as provided number of seconds since the start of training are pa…
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I want to use this github repository to train a DDPM model based on CelebA dataset consisting of 202,599 align&cropped human face images (each image is 218(height)x178(width) pixels) for human face im…
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Hello, thank you very much for making your source code available, I'm very interested in your work, the experimental results in the article are impressive, when I ran as requested with --use_cfg in th…
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How do I set the number of decoder layer? And hyperparameters like learning rate?
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Thanks for your great work! However, I can't reproduce the performance that was reported in the paper. Would you like to provide more details about the code?
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It seems one can only set system prompt and hyperparameters like temperature as part of model config file. I'm using the OpenAI API, and ollama ignores system prompt or such hyperparaemters. AFAIK t…
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Implement a process of tuning hyperparameters and saving best hyperparameters for models in this way that training single models and saving for further ensembles is easy and can be done automatically.
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Thanks for your codes. However, I have a question about setting hyper-parameters.
When using CIFAR10, the DQ paper has the following description:
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![image](https://github.com/user-attachments/ass…
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Thank you for visiting my issue!
I have recently been trying to replicate your paper's results regarding using the Solar model on the Traffic dataset. However, I have been encountering some difficult…