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