在新的dataset方式中测试, 如果用#号指定的抽样数量大于数据集的条数, 会在训练中直接崩掉gpu, 发生cuda设备丢失错误, 没有任何其他警告. 是否是ModelScope训练代码的问题? 如果数据集中抽样确实不能大于样本总量也就是不会重复抽取, 是否添加一个报错会比较合适? Unable to determine the device handle for GPU 0000:42:.....

问答 2024-03-18 来自：开发者社区

modelscope训练代码就尝试读取本地数据集开始训练，执行后加载数据集报错，怎么解决？

"走https://www.modelscope.cn/models/iic/cv_fft_inpainting_lama/summary的训练流程，示例代码用了这个在线的数据集https://www.modelscope.cn/datasets/modelscope/PlacesToydataset/summary我下载了这个数据集的meta文件和数据文件，按照它的文件组织方式放好了数据 ...

问答 2024-02-13 来自：开发者社区

ModelScope模型提供了训练代码，训练的是什么？

问答 2024-01-22 来自：开发者社区

ModelScope模型卡片中的训练代码需要什么环境配置？

官方提供的免费Notebook中跑了20个小时，还没训练完。ModelScope模型卡片中的训练代码需要什么环境配置？

问答 2023-12-13 来自：开发者社区

ModelScope使用微调训练代码，里面自动实现了各种数据增强了没有呢？

请问ModelScope使用 DAMOYOLO-高性能通用检测模型-S 中提供的微调训练代码，里面自动实现了各种数据增强了没有呢，还是需要使用者自行进行数据增强呢？参考链接：https://modelscope.cn/models/damo/cv_tinynas_object-detection_damoyolo/summary

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更新时间 2024-08-14 09:55:28

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