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base_model:
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- Qwen/Qwen2.5-0.5B
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The model is an intermediate product of the [EPCD (Easy-Data-Clean-Pipeline)](https://github.com/ytzfhqs/EDCP) project, primarily used to distinguish between the main content and non-content (such as book introductions, publisher information, writing standards, revision notes) of **medical textbooks** after performing OCR using [MinerU](https://github.com/opendatalab/MinerU). The base model uses [Qwen2.5-0.5B](https://huggingface.co/Qwen/Qwen2.5-0.5B), avoiding the length limitation of the Bert Tokenizer while providing higher accuracy.
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# Data Composition
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base_model:
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# Qwen2.5-med-book-main-classification
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The model is an intermediate product of the [EPCD (Easy-Data-Clean-Pipeline)](https://github.com/ytzfhqs/EDCP) project, primarily used to distinguish between the main content and non-content (such as book introductions, publisher information, writing standards, revision notes) of **medical textbooks** after performing OCR using [MinerU](https://github.com/opendatalab/MinerU). The base model uses [Qwen2.5-0.5B](https://huggingface.co/Qwen/Qwen2.5-0.5B), avoiding the length limitation of the Bert Tokenizer while providing higher accuracy.
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# Data Composition
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