- 入门指南
- 管理
- 管理来源和数据集
- 模型训练和维护
- 训练
- Defining and setting up your general fields
- Understanding general fields
- Which pre-trained general fields are available?
- Enabling, disabling, updating and creating general fields
- General field filtering
- Reviewing and applying general fields
- Validation for general fields
- Improving general field performance
- Building custom regex general fields
- 生成式提取
- 使用分析和监控
- 自动化和 Communications Mining
- 常见问题及解答
![](https://docs.uipath.com/_next/static/media/grid.05ebd128.png?w=3840&q=100)
模型回滚
简介
The model rollback feature allows us to revert back to a previous version of our model, allowing us to reset the training data (for both label and general field annotations) to the annotations used to train this model version.
需要注意的是,我们只能回滚到模型的已固定版本。
如何使用此功能
在“模型”页面上,模型的所有固定版本上都将提供模型回滚图标。 要继续执行模型回滚,请单击要还原到的模型版本上的回滚图标。
需要注意的是,当前经过训练的模型版本将自动固定为备份,但由当前仍在训练的模型版本捕获的任何注释都将丢失。
我们建议让当前模型版本完成训练,然后再回滚模型。 单击回滚按钮后,系统会弹出一个弹出模块来提醒我们这一点。 如果要继续,我们可以单击“重置”按钮。
While the model is rolling back, we will not be able to modify the dataset. This means that we will not be able to train our model during this time, and apply any labels or general fields to messages. A warning indicator will show up at the top, letting us know that the model is currently being rolled back.
If we try to modify our dataset, the following banner will appear in the bottom right corner of our screen, and any messages we try to annotate will not have the label or general field applied to it until the model rollback has complete.
虽然回滚功能可以帮助我们在模型训练中犯了任何重大错误时回滚到模型的先前版本,但我们不应该过分依赖它。
相反,我们应该确保一次就正确遵循正确的模型训练方法,因为从长远来看,这将为我们节省时间。