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@@ -588,7 +588,9 @@ class AxolotlInputConfig(
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rl: Optional[RLType] = None
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reward_model: Optional[bool] = None
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dpo_use_weighting: Optional[bool] = None # whether to use weighting in DPO trainer. If none, default is false in the trainer.
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dpo_use_weighting: Optional[
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bool
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] = None # whether to use weighting in DPO trainer. If none, default is false in the trainer.
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datasets: Optional[conlist(Union[SFTDataset, DPODataset, KTODataset], min_length=1)] = None # type: ignore
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test_datasets: Optional[conlist(Union[SFTDataset, DPODataset, KTODataset], min_length=1)] = None # type: ignore
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@@ -114,7 +114,7 @@ class TestDPOLlamaLora(unittest.TestCase):
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train(cfg=cfg, cli_args=cli_args, dataset_meta=dataset_meta)
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assert (Path(temp_dir) / "checkpoint-20/adapter_model.safetensors").exists()
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@with_temp_dir
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def test_dpo_use_weighting(self, temp_dir):
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# pylint: disable=duplicate-code
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@@ -159,7 +159,7 @@ class TestDPOLlamaLora(unittest.TestCase):
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train(cfg=cfg, cli_args=cli_args, dataset_meta=dataset_meta)
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assert (Path(temp_dir) / "checkpoint-20/adapter_model.safetensors").exists()
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@pytest.mark.skip("kto_pair no longer supported in trl")
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@with_temp_dir
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def test_kto_pair_lora(self, temp_dir):
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