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# Evaluation Framework for CCMusic Database Classification Tasks
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[![License: MIT](https://img.shields.io/github/license/monetjoe/ccmusic_eval.svg)](https://github.com/monetjoe/ccmusic_eval/blob/main/LICENSE)
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[![Python application](https://github.com/monetjoe/ccmusic_eval/actions/workflows/python-app.yml/badge.svg?branch=main)](https://github.com/monetjoe/ccmusic_eval/actions/workflows/python-app.yml)
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[![License: MIT](https://img.shields.io/github/license/ccmusic-database/ccmusic_eval.svg)](https://github.com/ccmusic-database/ccmusic_eval/blob/main/LICENSE)
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[![Python application](https://github.com/ccmusic-database/ccmusic_eval/actions/workflows/python-app.yml/badge.svg?branch=main)](https://github.com/ccmusic-database/ccmusic_eval/actions/workflows/python-app.yml)
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[![hf](https://img.shields.io/badge/HuggingFace-ccmusic-ffd21e.svg)](https://huggingface.co/ccmusic-database)
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[![ms](https://img.shields.io/badge/ModelScope-ccmusic-624aff.svg)](https://www.modelscope.cn/organization/ccmusic-database)
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[![arxiv](https://img.shields.io/badge/arXiv-2503.18802-b31b1b.svg)](https://arxiv.org/pdf/2503.18802.pdf)
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## Download
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```bash
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git clone git@github.com:monetjoe/ccmusic_eval.git
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git clone git@github.com:ccmusic-database/ccmusic_eval.git
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cd ccmusic_eval
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```
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| --subset | The subset of the dataset | For examples: default, eval | string |
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| --data | Input data colum of the dataset | For examples: mel, cqt, chroma | string |
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| --label | Label colum of the dataset | For examples: label, singing_method, gender | string |
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| --model | Select a [CV backbone](https://huggingface.co/datasets/monetjoe/cv_backbones) to train | [Supported backbones](https://www.modelscope.cn/datasets/monetjoe/cv_backbones/dataPeview) | string |
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| --model | Select a [CV backbone](https://huggingface.co/datasets/ccmusic-database/cv_backbones) to train | [Supported backbones](https://www.modelscope.cn/datasets/ccmusic-database/cv_backbones/dataPeview) | string |
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| --imgnet | ImageNet version the backbone was pretrained on | v1, v2 | string |
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| --mode | Training mode ID | 0=linear_probe, 1=full_finetune, 2=no_pretrain | int |
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| --bsz | Batch size | For examples: 1, 2, 4, 8, 16, 32, 64, 128..., default is 4 | int |

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