ium_434749/evaluation.Jenkinsfile
Alagris 33491f6458
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no mongo
2021-05-10 12:37:12 +02:00

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pipeline {
agent {
dockerfile true
}
parameters {
string(name: 'batch_size', defaultValue: '512', description: 'size of batch')
string(name: 'learning_rate', defaultValue: '0.01', description: 'Learning rate')
string(name: 'epochs', defaultValue: '14', description: 'epochs')
}
stages {
stage('Build') {
steps {
git 'https://git.wmi.amu.edu.pl/s434749/ium_434749.git'
copyArtifacts fingerprintArtifacts: true, projectName: 's434749-training', selector: lastSuccessful()
sh "python3 train_model.py with 'mode=eval' 'batch_size=${params.batch_size}' 'learning_rate=${params.learning_rate}' 'epochs=${params.epochs}'"
script{
def results = readFile "${env.WORKSPACE}/results.txt"
}
}
post {
success {
emailext body: 'Evaluation of CNN for english phonetic embeddings has finished successfully!\n'+results, subject: 's434749 evaluation finished', to: '26ab8f35.uam.onmicrosoft.com@emea.teams.ms'
archiveArtifacts 'results.txt,sacred_file_observer/**'
}
failure{
emailext body: 'Evaluation of CNN for english phonetic embeddings has failed!\n'+results, subject: 's434749 evaluation failed', to: '26ab8f35.uam.onmicrosoft.com@emea.teams.ms'
}
aborted{
emailext body: 'Evaluation of CNN for english phonetic embeddings was aborted!\n'+results, subject: 's434749 evaluation aborted', to: '26ab8f35.uam.onmicrosoft.com@emea.teams.ms'
}
}
}
}
}