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Model optimization needs to be implemented.
A skeleton for a possible iterative workflow that will pursue model optimization would look like this:
1. Define a first model into an initial config…
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That way we can do hyperparameter optimization with MLJ.
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Hey,
This issue will be of Machine Learning with Hyperparameter Optimization using Optuna.
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https://mat3ra.com/
Depending on the cost, we could do some hyperparameter optimization here.
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### What you would like to be added?
Inspired by this research paper [Vidur: A Large-Scale Simulation Framework For LLM Inference](https://proceedings.mlsys.org/paper_files/paper/2024/file/b74a8de47d…
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* OCTIS version: newest (?), the one in the google collab notebook
* Python version: Google Collab version
* Operating System: Windows 10
### Description
Hi all,
I am trying to run the noteb…
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**Description:**
I am experiencing issues with the DeepSolid code while calculating the ground state energy of 222 supercell, bcc Hydrogen. Despite trying multiple hyperparameters, such as learning r…
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In the MobileBERT paper, it's mentioned that the optimization hyperparameters (batch sizes, learning rates, number of epochs) are searched to choose the model. What are the optimal hyperparameters for…
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I'm currently working with GPyOpt to optimize hyperparameters of a neural network with Bayesian Optimization.
I just came to the idea, that you could define the bounds in a way, that you hand over hy…
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Hi, Does it support wandb sweep for hyperparameter search and model optimization?