tocmo0nlord/axolotl
1
0
Fork 0
Code Issues Pull Requests Actions 2 Packages Projects Releases Wiki Activity

add helper to verify the correct model output file exists (#2245)

Browse Source 
* add helper to verify the correct model output file exists

* more checks using helper

* chore: lint

* fix import and relora model check

* workaround for trl trainer saves

* remove stray print
This commit is contained in:
Wing Lian
2025-01-13 10:43:29 -05:00
committed by GitHub
parent d8b4027200
commit dd26cc3c0f
29 changed files with 116 additions and 111 deletions
Download Patch File Download Diff File Expand all files Collapse all files

8
tests/e2e/integrations/test_cut_cross_entropy.py
View File

@@ -2,8 +2,6 @@
Simple end-to-end test for Cut Cross Entropy integration
"""
from pathlib import Path
import pytest
from axolotl.cli import load_datasets
@@ -13,6 +11,8 @@ from axolotl.utils import get_pytorch_version
from axolotl.utils.config import normalize_config, prepare_plugins
from axolotl.utils.dict import DictDefault
from ..utils import check_model_output_exists
# pylint: disable=duplicate-code
@@ -67,7 +67,7 @@ class TestCutCrossEntropyIntegration:
train(cfg=cfg, cli_args=cli_args, dataset_meta=dataset_meta)
else:
train(cfg=cfg, cli_args=cli_args, dataset_meta=dataset_meta)
assert (Path(temp_dir) / "model.safetensors").exists()
check_model_output_exists(temp_dir, cfg)
@pytest.mark.parametrize(
"attention_type",
@@ -95,4 +95,4 @@ class TestCutCrossEntropyIntegration:
train(cfg=cfg, cli_args=cli_args, dataset_meta=dataset_meta)
else:
train(cfg=cfg, cli_args=cli_args, dataset_meta=dataset_meta)
assert (Path(temp_dir) / "model.safetensors").exists()
check_model_output_exists(temp_dir, cfg)

7
tests/e2e/integrations/test_liger.py
View File

@@ -1,7 +1,6 @@
"""
Simple end-to-end test for Liger integration
"""
from pathlib import Path
from e2e.utils import require_torch_2_4_1
@@ -11,6 +10,8 @@ from axolotl.train import train
from axolotl.utils.config import normalize_config, prepare_plugins
from axolotl.utils.dict import DictDefault
from ..utils import check_model_output_exists
class LigerIntegrationTestCase:
"""
@@ -60,7 +61,7 @@ class LigerIntegrationTestCase:
dataset_meta = load_datasets(cfg=cfg, cli_args=cli_args)
train(cfg=cfg, cli_args=cli_args, dataset_meta=dataset_meta)
assert (Path(temp_dir) / "model.safetensors").exists()
check_model_output_exists(temp_dir, cfg)
@require_torch_2_4_1
def test_llama_w_flce(self, temp_dir):
@@ -105,4 +106,4 @@ class LigerIntegrationTestCase:
dataset_meta = load_datasets(cfg=cfg, cli_args=cli_args)
train(cfg=cfg, cli_args=cli_args, dataset_meta=dataset_meta)
assert (Path(temp_dir) / "model.safetensors").exists()
check_model_output_exists(temp_dir, cfg)