用Chartqa测评LLama3.2-11b-vision时，结果全部为0

[GoogleAlphaZero]

在测评Llama3.2-11b-vision时，用ChartQa，中间有过程，显示了2500条数据的过程，但结果全部为0，结果如下

To disable this warning, you can either:
- Avoid using tokenizers before the fork if possible
- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
- Avoid using tokenizers before the fork if possible
- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
[2024-12-03 16:21:54,323] INFO - RUN - run.py: main - 393: The evaluation of model Llama-3.2-11B-Vision-Instruct x dataset ChartQA_TEST has finished!
[2024-12-03 16:21:54] INFO - run.py: main - 393: The evaluation of model Llama-3.2-11B-Vision-Instruct x dataset ChartQA_TEST has finished!
[2024-12-03 16:21:54,323] INFO - RUN - run.py: main - 394: Evaluation Results:
[2024-12-03 16:21:54] INFO - run.py: main - 394: Evaluation Results:
[2024-12-03 16:21:54,325] INFO - RUN - run.py: main - 400:

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test_augmented 0
test_human 0
Overall 0

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[2024-12-03 16:21:54] INFO - run.py: main - 400:

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test_augmented 0
test_human 0
Overall 0

---

[PhoenixZ810]

Hi,
Thank you for your inquiry.
Once the inference process has successfully completed, an .xlsx file will be generated in the designated output directory.
To provide you with more specific details regarding the contents of the .xlsx file, it would be helpful to know the particular setup or context in which the inference process is being run.
Thanks.