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from sentence_transformers import SentenceTransformer
from sentence_transformers.evaluation import InformationRetrievalEvaluator
import argparse
import json
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--model", type=str,
default="tintnguyen/bert-base-vi-uncased-st-3")
args = parser.parse_args()
model = SentenceTransformer(args.model)
queries = json.load(open("queries.json", "r"))
corpus = json.load(open("corpus.json", "r"))
rels = json.load(open("rels.json", "r"))
evaluator = InformationRetrievalEvaluator(
queries=queries,
corpus=corpus,
relevant_docs=rels,
name="aaa",
show_progress_bar=True,
)
results = evaluator(model)
print(results)
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