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The way we do grid search right now we use the same dataset (either xval or a validation set) to do early stopping on the models as we do to do model selection. This is overfitting the hyperparameter…
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Hi everyone,
I'm using a sweep with grid search across several parameters, and each run is pretty time-consuming.
I would like to prioritize runs with certain hyperparameters, that are more urgent…
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#### Describe the workflow you want to enable
I developed [searchgrid](http://github.com/jnothman/searchgrid) to deal with one of my pet peeves in scikit-learn: that when performing a hyperparam se…
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### Search before asking
- [X] I have searched the YOLOv8 [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussions) and f…
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# Short Question Description
I just want to know where does the Bayesian Optimisation is working for Hyperparameter search? I am currently working on Fairness so I have a query on that.
Thanks
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I was getting a memory leak when using [run_hyperparameter_search.py](https://github.com/XanaduAI/qml-benchmarks/blob/main/scripts/run_hyperparameter_search.py).
As stated [here](https://stackoverf…
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Thanks for adding GraphRAG to RAGbuilder.
I had some questions and suggestions, perhaps you want to chat some time.
* QQ: in graphrag.full_retriever you fetch the vector store data but don't use…
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I had this problem and I see that in the repo's hyperparameter notebook someone else had this problem too! https://github.com/huggingface/setfit/blob/main/notebooks/text-classification_hyperparameter-…
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Hello. We were trying to develop a new method on top of AdaLoRA and are faced with an inconvenience regarding the hyperparameter search used for GLUE.
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With Appendix Section C, you have prov…
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This is purely an idea if you wish and I understand how much work it is to get this working.
Thankfully, https://github.com/mttga/purejaxql has shown this to be possible achieving 200 million frames…