Files
katib/examples/v1beta1/hp-tuning/optuna-distribution.yaml
Mahdi KhashanandGitHub 19db2d47d4 [feature] move manifest image references to ghcr (#2529)
* 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]>
2025-03-24 17:11:50 +00:00

75 lines
1.9 KiB
YAML

---
apiVersion: kubeflow.org/v1beta1
kind: Experiment
metadata:
namespace: kubeflow
name: optuna-distribution
spec:
objective:
type: minimize
goal: 0.05
objectiveMetricName: loss
algorithm:
algorithmName: tpe
parallelTrialCount: 3
maxTrialCount: 12
maxFailedTrialCount: 3
parameters:
- name: lr
parameterType: double
feasibleSpace:
min: "1"
max: "5"
step: "0.1"
distribution: uniform
- name: momentum
parameterType: double
feasibleSpace:
min: "0.001"
max: "3"
distribution: logUniform
- name: epochs
parameterType: int
feasibleSpace:
min: "1"
max: "3"
distribution: uniform
- name: batch_size
parameterType: int
feasibleSpace:
min: "32"
max: "64"
distribution: logUniform
trialTemplate:
primaryContainerName: training-container
trialParameters:
- name: learningRate
description: Learning rate for the training model
reference: lr
- name: momentum
description: Momentum for the training model
reference: momentum
- name: epochs
description: Epochs
reference: epochs
- name: batchSize
description: Batch Size
reference: batch_size
trialSpec:
apiVersion: batch/v1
kind: Job
spec:
template:
spec:
containers:
- name: training-container
image: ghcr.io/kubeflow/katib/pytorch-mnist-cpu:latest
command:
- "python3"
- "/opt/pytorch-mnist/mnist.py"
- "--epochs=${trialParameters.epochs}"
- "--batch-size=${trialParameters.batchSize}"
- "--lr=${trialParameters.learningRate}"
- "--momentum=${trialParameters.momentum}"
restartPolicy: Never