eval_listconranker_iterative_inference.py

# Copyright 2024 Bytedance Ltd. and/or its affiliates
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import argparse
from modules.Reranking_loop import *
from mteb import MTEB
from modules.listconranker import ListConRanker


def get_args():
    parser = argparse.ArgumentParser()
    parser.add_argument('--model_name_or_path', default="./", type=str)
    return parser.parse_args()


if __name__ == '__main__':
    args = get_args()

    model = ListConRanker(args.model_name_or_path, use_fp16=True, list_transformer_layer=2)
    dir_name = args.model_name_or_path.split('/')[-2]
    if 'checkpoint-' in args.model_name_or_path:
        save_name = "_".join(args.model_name_or_path.split('/')[-2:])
        dir_name = args.model_name_or_path.split('/')[-3]
    else:
        save_name = "_".join(args.model_name_or_path.split('/')[-1:])
        dir_name = args.model_name_or_path.split('/')[-2]

    evaluation = MTEB(task_types=["Reranking"], task_langs=['zh'])
    evaluation.run(model, output_folder="reranker_results/{}/{}".format(dir_name, save_name))