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fix bge rerank normalize issue (#988)

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### What problem does this PR solve?


### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
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KevinHuSh 2024-05-30 12:55:17 +08:00 committed by GitHub
parent 843720f958
commit 77363a0875
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rag/llm/rerank_model.py
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@ -24,6 +24,8 @@ import numpy as np
from api.utils.file_utils import get_home_cache_dir
from rag.utils import num_tokens_from_string, truncate
def sigmoid(x):
return 1 / (1 + np.exp(-x))
class Base(ABC):
def __init__(self, key, model_name):
@ -69,6 +71,7 @@ class DefaultRerank(Base):
res = []
for i in range(0, len(pairs), batch_size):
scores = self._model.compute_score(pairs[i:i + batch_size], max_length=2048)
scores = sigmoid(np.array(scores))
res.extend(scores)
return np.array(res), token_count