关于管道

Document Understanding ML 包可以运行所有三种类型的管道：

• 训练管道
• 评估管道
• 完整管道

完成后，管道运行将具有关联的输出和日志。要查看此信息，请在左侧边栏的“管道”选项卡中单击一个管道以打开“管道视图”，该视图包含以下内容：

• 管道详细信息，例如类型、ML 包名称和版本、数据集、GPU 使用情况、参数和执行时间
• “输出”窗格；这始终包括一个_results.json文件，其中包含管道详细信息的摘要
• “日志”页面；也可以在左侧边栏的“ML 日志”选项卡中获取日志

训练管道或完整管道也可用于：

• Fine-tune ML models with data from Validation Station
• Auto-Fine-tuning an ML model

术语和定义

Training: Training a model from scratch, i.e. using the DocumentUnderstanding ML Package in AI Center.

Retraining: Training using a pre-trained base-model, i.e. using one of the other document extraction ML packages in AI Center such as Invoices,Receipts,Purchase Orders, etc.

Auto-retraining: This is the name of an environment variable which can be set when creating a Pipeline in AI Center which enables the pipeline to automatically use the most recent exported dataset for training. This variable is independent of whether that dataset includes data from Validation Station or not.

Fine-tuning: Training or retraining a model using a dataset which includes data coming from Validation Station.

Auto-Fine-tuning: Using the Auto-retraining environment variable feature to automatically train a model using data fed in from Validation Station using the Scheduled Export feature of Data Manager.