Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Dividing generative question-answering CI tests #4600

Merged
merged 3 commits into from
Jul 26, 2022
Merged

Dividing generative question-answering CI tests #4600

Changes from all commits
Commits
Show all changes
3 commits
Select commit Hold shift + click to select a range
0fc410a
divided parallel ci tests to reduce memory usage
ameyasm1154 Jul 25, 2022
6c6acf4
Merge branch 'main' into generative_qa_ci
ameyasm1154 Jul 25, 2022
68041f1
Merge branch 'main' into generative_qa_ci
ericharper Jul 26, 2022
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
66 changes: 45 additions & 21 deletions Jenkinsfile
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -1181,7 +1181,7 @@ pipeline {
}
}

stage('L2: Parallel BERT/BART/GPT2 Question-Answering SQUAD v1.1 & v2.0') {
stage('L2: Parallel BERT Question-Answering SQUAD v1.1 & v2.0') {
when {
anyOf {
branch 'main'
Expand Down Expand Up @@ -1215,33 +1215,41 @@ pipeline {
exp_manager=null && TRANSFORMERS_OFFLINE=1'
}
}
stage('BART SQUAD 1.1') {
stage('BERT SQUAD 2.0') {
// Cannot do fast_dev_run because squad needs whole dev dataset
steps {
sh 'TRANSFORMERS_OFFLINE=0 && cd examples/nlp/question_answering && \
python question_answering.py \
model.train_ds.file=/home/TestData/nlp/squad_mini/v1.1/train-v1.1.json \
model.train_ds.file=/home/TestData/nlp/squad_mini/v2.0/train-v2.0.json \
model.dataset.use_cache=false \
model.dataset.check_if_answer_in_context=false \
model.validation_ds.file=/home/TestData/nlp/squad_mini/v1.1/dev-v1.1.json \
model.test_ds.file=/home/TestData/nlp/squad_mini/v1.1/dev-v1.1.json \
model.train_ds.batch_size=2 \
model.train_ds.num_samples=2 \
model.validation_ds.batch_size=2 \
model.validation_ds.num_samples=2 \
model.test_ds.num_samples=2 \
model.test_ds.batch_size=2 \
trainer.max_epochs=1 \
trainer.max_steps=1 \
model.language_model.pretrained_model_name=facebook/bart-base \
model.dataset.version_2_with_negative=false \
model.validation_ds.file=/home/TestData/nlp/squad_mini/v2.0/dev-v2.0.json \
model.language_model.pretrained_model_name=bert-base-uncased \
model.dataset.version_2_with_negative=true \
trainer.precision=16 \
trainer.devices=[0] \
trainer.devices=[1] \
trainer.accelerator="gpu" \
exp_manager=null && TRANSFORMERS_OFFLINE=1'
}
}
stage('GPT2 SQUAD 1.1') {
}
}

stage('L2: Parallel BART Question-Answering SQUAD v1.1 & v2.0') {
when {
anyOf {
branch 'main'
changeRequest target: 'main'
}
}
failFast true
parallel {
stage('BART SQUAD 1.1') {
// Cannot do fast_dev_run because squad needs whole dev dataset
steps {
sh 'TRANSFORMERS_OFFLINE=0 && cd examples/nlp/question_answering && \
Expand All @@ -1259,55 +1267,71 @@ pipeline {
model.test_ds.batch_size=2 \
trainer.max_epochs=1 \
trainer.max_steps=1 \
model.language_model.pretrained_model_name=gpt2 \
model.language_model.pretrained_model_name=facebook/bart-base \
model.dataset.version_2_with_negative=false \
trainer.precision=16 \
trainer.devices=[0] \
trainer.accelerator="gpu" \
exp_manager=null && TRANSFORMERS_OFFLINE=1'
}
}
stage('BERT SQUAD 2.0') {
stage('BART SQUAD 2.0') {
// Cannot do fast_dev_run because squad needs whole dev dataset
steps {
sh 'TRANSFORMERS_OFFLINE=0 && cd examples/nlp/question_answering && \
python question_answering.py \
model.train_ds.file=/home/TestData/nlp/squad_mini/v2.0/train-v2.0.json \
model.dataset.use_cache=false \
model.dataset.check_if_answer_in_context=false \
model.train_ds.batch_size=2 \
model.train_ds.num_samples=2 \
model.validation_ds.batch_size=2 \
model.validation_ds.num_samples=2 \
trainer.max_epochs=1 \
trainer.max_steps=1 \
model.validation_ds.file=/home/TestData/nlp/squad_mini/v2.0/dev-v2.0.json \
model.language_model.pretrained_model_name=bert-base-uncased \
model.language_model.pretrained_model_name=facebook/bart-base \
model.dataset.version_2_with_negative=true \
trainer.precision=16 \
trainer.devices=[1] \
trainer.accelerator="gpu" \
exp_manager=null && TRANSFORMERS_OFFLINE=1'
}
}
stage('BART SQUAD 2.0') {
}
}

stage('L2: Parallel GPT2 Question-Answering SQUAD v1.1 & v2.0') {
when {
anyOf {
branch 'main'
changeRequest target: 'main'
}
}
failFast true
parallel {
stage('GPT2 SQUAD 1.1') {
// Cannot do fast_dev_run because squad needs whole dev dataset
steps {
sh 'TRANSFORMERS_OFFLINE=0 && cd examples/nlp/question_answering && \
python question_answering.py \
model.train_ds.file=/home/TestData/nlp/squad_mini/v2.0/train-v2.0.json \
model.train_ds.file=/home/TestData/nlp/squad_mini/v1.1/train-v1.1.json \
model.dataset.use_cache=false \
model.dataset.check_if_answer_in_context=false \
model.validation_ds.file=/home/TestData/nlp/squad_mini/v1.1/dev-v1.1.json \
model.test_ds.file=/home/TestData/nlp/squad_mini/v1.1/dev-v1.1.json \
model.train_ds.batch_size=2 \
model.train_ds.num_samples=2 \
model.validation_ds.batch_size=2 \
model.validation_ds.num_samples=2 \
model.test_ds.num_samples=2 \
model.test_ds.batch_size=2 \
trainer.max_epochs=1 \
trainer.max_steps=1 \
model.validation_ds.file=/home/TestData/nlp/squad_mini/v2.0/dev-v2.0.json \
model.language_model.pretrained_model_name=facebook/bart-base \
model.dataset.version_2_with_negative=true \
model.language_model.pretrained_model_name=gpt2 \
model.dataset.version_2_with_negative=false \
trainer.precision=16 \
trainer.devices=[1] \
trainer.devices=[0] \
trainer.accelerator="gpu" \
exp_manager=null && TRANSFORMERS_OFFLINE=1'
}
Expand Down