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冻结ViT-B/32版本的CLIP模型中的全部图像层，用Adan优化器训练模型，训练100个epoch，每隔5个epoch对模型进行保存；完成CLIP模型训练后，运行test_clip.py用测试集中的数据和自定义的提示词对保存的模型进行测试，选取测试精度最好的模型和对应的提示词，运行predict.py文件，选择“min_loss.pth”模型，提交官方系统测试，top1的精度是0.6788。

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