About Exception raised in Job[]: TimeoutError()

[erliang-sf]

[ ] I have checked the documentation and related resources and couldn't resolve my bug.

Describe the bug
When I use the evaluation function, the timeoutError is frequently displayed, and the final evaluation metrics all show NAN, I refer to the documentation to set up various runconfigs, but it has no effect

Ragas version:0.2.9
Python version:3.12

Code to Reproduce
faithfulness.llm = qwen_llm
answer_relevancy.llm = qwen_llm
answer_relevancy.embeddings = bge_m3
context_recall.llm = qwen_llm
context_precision.llm = qwen_llm

evalsets = load_test_data(uploaded_file)
if evalsets is not None:
    batch_size = 4
    final_df = pd.DataFrame()
    try:
        result = evaluate(
            evalsets,
            metrics=metrics,
            batch_size=batch_size,
            raise_exceptions=True,
            callbacks=[TestCallback()],
            run_config=RunConfig(timeout=60,max_retries=3, max_wait=60, max_workers=1)
        )
        final_df = result.to_pandas()
        print("final_df:", final_df.head())
    except Exception as e:
        print(f"评估时出错: {e}")

Error trace
Evaluating: 0%| | 0/8 [00:00<?, ?it/s]Exception raised in Job[0]: TimeoutError()
Evaluating: 25%|████████████████████▊ | 2/8 [02:03<06:10, 61.83s/it]Exception raised in Job[2]: TimeoutError()
Evaluating: 38%|███████████████████████████████▏ | 3/8 [03:03<05:04, 61.00s/it]Exception raised in Job[3]: TimeoutError()
Evaluating: 50%|█████████████████████████████████████████▌ | 4/8 [04:03<04:02, 60.61s/it]Exception raised in Job[4]: TimeoutError()
Evaluating: 62%|███████████████████████████████████████████████████▉ | 5/8 [05:03<03:01, 60.39s/it]Exception raised in Job[5]: TimeoutError()
Evaluating: 75%|██████████████████████████████████████████████████████████████▎ | 6/8 [06:03<02:00, 60.26s/it]Exception raised in Job[6]: TimeoutError()
Evaluating: 88%|████████████████████████████████████████████████████████████████████████▋ | 7/8 [07:03<01:00, 60.18s/it]Exception raised in Job[7]: TimeoutError()
Evaluating: 100%|███████████████████████████████████████████████████████████████████████████████████| 8/8 [08:03<00:00, 60.39s/it]
final_df: user_input retrieved_contexts ... context_precision context_recall
0 请详细介绍奥运会的历史与发展。 [奥运会，全称为奥林匹克运动会（Olympic Games），是世界上规模最大、影响最广的综... ...
NaN NaN
1 请详细介绍奥运会的历史与发展。 [奥运会，全称为奥林匹克运动会（Olympic Games），是世界上规模最大、影响最广的综... ...
NaN NaN

Expected behavior
This issue didn't come up at first, and I wondered if it was due to server load or other factors such as the network, or if there was a problem with the evaluation parameters I had configured. Thanks.

Additional context
Add any other context about the problem here.