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optuna_cat100gpu_RTX5000_cv_kfold10

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Tags

trial/100/resplendent-tiger-290

Notes

optuna_cat100gpu_RTX5000_cv_kfold10

Tags
Author
State
Finished
Start time
February 4th, 2023 9:44:21 PM
Runtime
3m 55s
Tracked hours
3m 50s
Run path
aschultz/usedCars_HPO_Catboost/rp36a1md
OS
Linux-5.4.0-122-generic-x86_64-with-glibc2.31
Python version
3.9.10
Git repository
git clone https://github.com/gradient-ai/RAPIDS.git
Git state
git checkout -b "trial/100/resplendent-tiger-290" 41ff5e6ba239665f6a9e66ec4dd1338dd61541bb
Command
UsedCarsCarGurus/Models/ML/Catboost/Optuna/Notebooks_Scripts/Catboost_GPU_RTX5000_HPO_100trials_Optuna_TrainValTest_WB.ipynb
System Hardware
CPU count8
Logical CPU count 8
GPU count1
GPU typeQuadro RTX 5000
W&B CLI Version
0.13.9
Config

Config parameters are your model's inputs. Learn more

  • {} 10 keys
    • 0.33313325898692364
    • "Plain"
    • "Bayesian"
    • 10
    • [] 1 item
      • "MINIMIZE"
    • 0.8350437571273842
    • 0.125895055760599
    • 18
    • 445
    • 2
Summary

Summary metrics are your model's outputs. Learn more

  • {} 11 keys
    • 0.33313325898692364
    • "Plain"
    • "Bayesian"
    • 10
    • 0.8350437571273842
    • 0.125895055760599
    • 18
    • 445
    • 2
    • 100
    • 2,454.4337455407563
Artifact Outputs

This run produced these artifacts as outputs. Total: 1. Learn more

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