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axolotl/tests/prompt_strategies/test_dpo_chatml.py
Dan Saunders c907ac173e adding pre-commit auto-update GH action and bumping plugin versions (#2428)
* adding pre-commit auto-update GH action and bumping plugin versions

* running updated pre-commit plugins

* sorry to revert, but pylint complained

* Update .pre-commit-config.yaml

Co-authored-by: Wing Lian <wing.lian@gmail.com>

---------

Co-authored-by: Dan Saunders <dan@axolotl.ai>
Co-authored-by: Wing Lian <wing.lian@gmail.com>
2025-03-21 11:02:43 -04:00

63 lines
1.7 KiB
Python

"""
Tests for loading DPO preference datasets with chatml formatting
"""
import unittest
import pytest
from axolotl.prompt_strategies.dpo import load as load_dpo
from axolotl.utils.data.rl import load_prepare_preference_datasets
from axolotl.utils.dict import DictDefault
@pytest.fixture(name="minimal_dpo_cfg")
def fixture_cfg():
return DictDefault(
{
"base_model": "HuggingFaceTB/SmolLM2-135M",
"tokenizer_config": "HuggingFaceTB/SmolLM2-135M",
"rl": "dpo",
"learning_rate": 0.000001,
"micro_batch_size": 1,
"gradient_accumulation_steps": 1,
"special_tokens": {
"pad_token": "<|endoftext|>",
},
"sequence_len": 2048,
}
)
class TestDPOChatml:
"""
Test loading DPO preference datasets with chatml formatting
"""
def test_default(self, minimal_dpo_cfg):
cfg = DictDefault(
{
"datasets": [
{
"path": "argilla/distilabel-intel-orca-dpo-pairs",
"type": "chatml",
"split": "train[:1%]",
}
]
}
| minimal_dpo_cfg
)
# test that dpo.load works
load_dpo("chatml", cfg)
# now actually load the datasets with the strategy
train_ds, _ = load_prepare_preference_datasets(cfg)
assert train_ds[0]["prompt"].startswith("<|im_start|>")
assert train_ds[0]["prompt"].endswith("<|im_start|>assistant\n")
assert "chosen" in train_ds[0]
assert "rejected" in train_ds[0]
if __name__ == "__main__":
unittest.main()