Cannot reproduce the BAAI/bge-reranker-large re-ranker model results


I am using “BAAI/bge-reranker-large” model using AutoModelForSequenceClassification class to rerank the relevant documents to the a question in my RAG setup.

Here is the sample code that I am using.

import torch
from transformers import AutoModelForSequenceClassification, AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained('BAAI/bge-reranker-large')
model = AutoModelForSequenceClassification.from_pretrained('BAAI/bge-reranker-large')

pairs = [[user_input, doc] for doc in documents]
with torch.no_grad():
    inputs = tokenizer(pairs, padding=True, truncation=True, return_tensors='pt', max_length=512)
    scores = model(**inputs, return_dict=True).logits.view(-1, ).float()

documents is a list of relevant documents to the user_input which is a user question.

Most of the time I am getting expected results, i.e. most relevant document to the user question is ranked at top with highest score
But sometimes I am getting different irrelevant document ranked at top for the same question where I was getting correct results earlier.

How can I reproduce the same results each time.
Is there any parameter that we can use (like seed) to reproduce the results?