| 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) | |