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[![pypi](https://img.shields.io/pypi/v/eval-mm.svg)](https://pypi.python.org/pypi/eval-mm) [![Test workflow](https://github.com/llm-jp/llm-jp-eval-mm/actions/workflows/test.yml/badge.svg)](https://github.com/llm-jp/llm-jp-eval-mm/actions/workflows/test.yml) [![License](https://img.shields.io/badge/License-Apache_2.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
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[ [**Japanese**](./README_ja.md) | English ]
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llm-jp-eval-mm automates the evaluation of multi-modal large language models (VLMs) across various datasets, mainly focusing on Japanese tasks.
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llm-jp-eval-mm is a lightweight framework for evaluating visual-language models across various benchmark tasks, mainly focusing on Japanese tasks.
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This tool supports multi-modal text generation tasks and calculates task-specific evaluation metrics based on the inference results provided by users.
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