Skip to content

Enabling tests for prompt tuning #278

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

Merged
anhuong merged 2 commits into from
Aug 2, 2024
Merged

Enabling tests for prompt tuning #278

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
f1159f9
enabling tests for prompt tuning
Abhishek-TAMU Aug 1, 2024
756d097
Merge branch 'main' into main
anhuong Aug 1, 2024
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
9 changes: 0 additions & 9 deletions tests/test_sft_trainer.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -164,9 +164,6 @@ def test_parse_arguments_peft_method(job_config):
############################# Prompt Tuning Tests #############################


@pytest.mark.skip(
reason="currently inference doesn't work with transformer version 4.42.4"
)
def test_run_causallm_pt_and_inference():
"""Check if we can bootstrap and peft tune causallm models"""
with tempfile.TemporaryDirectory() as tempdir:
Expand Down Expand Up @@ -197,9 +194,6 @@ def test_run_causallm_pt_and_inference():
assert "### Text: @NortonSupport Thanks much.\n\n### Label:" in output_inference


@pytest.mark.skip(
reason="currently inference doesn't work with transformer version 4.42.4"
)
def test_run_causallm_pt_and_inference_with_formatting_data():
"""Check if we can bootstrap and peft tune causallm models
This test needs the trainer to format data to a single sequence internally.
Expand Down Expand Up @@ -238,9 +232,6 @@ def test_run_causallm_pt_and_inference_with_formatting_data():
assert "### Text: @NortonSupport Thanks much.\n\n### Label:" in output_inference


@pytest.mark.skip(
reason="currently inference doesn't work with transformer version 4.42.4"
)
def test_run_causallm_pt_and_inference_JSON_file_formatter():
"""Check if we can bootstrap and peft tune causallm models with JSON train file format"""
with tempfile.TemporaryDirectory() as tempdir:
Expand Down