| 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) |
|
|
