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Enabling the qa_generation to get the model name from the API #102

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Enabling the qa_generation to get the model name from the API #102

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6 changes: 3 additions & 3 deletions dalm/datasets/qa_gen/question_answer_generation.py
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Original file line number Diff line number Diff line change
Expand Up @@ -185,11 +185,11 @@ def split_dataset(


def generate_qa_from_dataset(
dataset: Dataset, passage_column_name: str, title_column_name: str, sample_size: int, batch_size: int, max_input_tokens: int, load_in_8bit: bool = True
dataset: Dataset, passage_column_name: str, title_column_name: str, sample_size: int, batch_size: int, max_input_tokens: int, qa_model: str = QA_MODEL, load_in_8bit: bool = True
) -> DatasetDict:
logger.info(f"Generating question answer pairs with batch size: {batch_size}")
tokenizer = AutoTokenizer.from_pretrained(QA_MODEL)
model = AutoModelForCausalLM.from_pretrained(QA_MODEL, torch_dtype="auto", device_map="auto")
tokenizer = AutoTokenizer.from_pretrained(qa_model)
model = AutoModelForCausalLM.from_pretrained(qa_model, torch_dtype="auto", device_map="auto")

# shuffle data
dataset.shuffle(seed=42)
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