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requirements.txt 60 B

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  1. pandas
  2. regex
  3. ftfy
  4. tqdm
  5. scikit-learn
  6. seaborn
  7. tabulate
  8. natsort

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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