fix test
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@ -30,17 +30,18 @@ TINY_DATA = os.environ.get("TINY_DATA", "llamafactory/tiny-supervised-dataset")
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TRAIN_ARGS = {
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"model_name_or_path": TINY_LLAMA,
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"stage": "sft",
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"do_predict": True,
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"stage": "ppo",
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"do_train": True,
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"finetuning_type": "full",
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"eval_dataset": "system_chat",
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"reward_model": "",
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"reward_model_type": "full",
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"dataset": "system_chat",
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"dataset_dir": "REMOTE:" + DEMO_DATA,
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"template": "llama3",
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"cutoff_len": 8192,
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"overwrite_cache": True,
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"output_dir": "dummy_dir",
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"overwrite_output_dir": True,
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"predict_with_generate": True,
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"fp16": True,
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}
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