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Mahdi KhashanandGitHub
19db2d47d4
* move to ghcr Signed-off-by: mahdikhashan <[email protected]> * move images to ghcr Signed-off-by: mahdikhashan <[email protected]> * manifests Signed-off-by: mahdikhashan <[email protected]> * change registry in all path Signed-off-by: mahdikhashan <[email protected]> * update script Signed-off-by: mahdikhashan <[email protected]> * fix Signed-off-by: mahdikhashan <[email protected]> * fix Signed-off-by: mahdikhashan <[email protected]> * slight fix Signed-off-by: mahdikhashan <[email protected]> --------- Signed-off-by: mahdikhashan <[email protected]> Signed-off-by: Mahdi Khashan <[email protected]>
64 lines
1.7 KiB
YAML
64 lines
1.7 KiB
YAML
---
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# This is example with median stopping early stopping rule.
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# It has bad feasible space for learning rate to show more early stopped Trials.
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apiVersion: kubeflow.org/v1beta1
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kind: Experiment
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metadata:
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namespace: kubeflow
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name: median-stop
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spec:
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objective:
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type: minimize
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goal: 0.001
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objectiveMetricName: loss
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algorithm:
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algorithmName: random
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earlyStopping:
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algorithmName: medianstop
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algorithmSettings:
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- name: min_trials_required
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value: "1"
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- name: start_step
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value: "2"
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parallelTrialCount: 2
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maxTrialCount: 15
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maxFailedTrialCount: 3
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parameters:
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- name: lr
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parameterType: double
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feasibleSpace:
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min: "0.01"
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max: "0.05"
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- name: momentum
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parameterType: double
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feasibleSpace:
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min: "0.5"
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max: "0.9"
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trialTemplate:
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retain: true
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primaryContainerName: training-container
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trialParameters:
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- name: learningRate
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description: Learning rate for the training model
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reference: lr
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- name: momentum
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description: Momentum for the training model
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reference: momentum
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trialSpec:
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apiVersion: batch/v1
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kind: Job
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spec:
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template:
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spec:
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containers:
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- name: training-container
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image: ghcr.io/kubeflow/katib/pytorch-mnist-cpu:latest
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command:
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- "python3"
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- "/opt/pytorch-mnist/mnist.py"
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- "--epochs=1"
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- "--batch-size=16"
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- "--lr=${trialParameters.learningRate}"
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- "--momentum=${trialParameters.momentum}"
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restartPolicy: Never
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