Models Page

The Models page provides a centralized location for managing models trained on your instance. In this article, you'll learn how to navigate the page and understand the information displayed for each model.

Accessing the features mentioned in this article
Your access to some of the features mentioned in this article depends on your license package and pricing plan.
To learn which features are available to your organization and how to add more, contact your Hyperscience representative.

Accessing Models

Navigation changes in v42.0.2 and later
Starting with v42.0.2, Models became a standalone category in the main navigation menu. In earlier versions, model-related pages are available under Library > Models.

To access the Models page, go to Models and select the model type you want to manage:

Classification models
Vision Language Models (VLM) Field Extraction
Identification models
- Field Identification models
- Table Identification models
Text Classification models
Transcription Models.

Each model type provides different functionality and displays information specific to its purpose. The following sections describe the available model pages and the information shown for each model type.

Classification Models tab

By default, the Models page opens on the Classification Models tab.

You can filter the Classification models table by release with the Filter by release drop-down list, which is located on the right-hand side of the page.
Access the model management page for a particular model by clicking on its name in the table.
See the number of Classification models available in your instance.

The Classification models table contains the following columns:

Column	Description
Model	Classification model’s name.
Compatible Releases	Indicates the number of releases that the Classification model can generate predictions for. Learn more in Semi-structured Document Classification.
Status	Model’s current state (e.g., Needs Training or Live).
Date Deployed	The date the model was deployed.

Learn how to train classification models in TDM for Classification Models.

VLM Field Extraction tab

Available in v42.3 and later

The VLM Field Extraction tab provides an overview of all Model Definitions, associated with specialized VLM models. Learn more in ORCA (Optical Reasoning and Cognition Agent) VLMs.

The Model Definitions table contains the following columns:

Column	Description
Scope	The data or objects the model operates on (for example, a layout or set of fields).
Task	The type of problem the model is trained to solve.
Type	The model family used for this task and scope.
Compatibility	Shows compatibility between the current product version and the latest deployed model for this definition.
State	Shows whether the model is Live or Inactive.
Training status	The status of the current model training.
Date deployed	The timestamp of the last deployment for this model definition.

Learn more about VLM Field Extraction in TDM for ORCA VLMs.

Identification Models tab

The Identification tab provides an overview of all Field ID and Table ID models associated with semi-structured layouts in your instance. Learn more in Identification Models Overview.

The Identification models table displays the following columns:

Column	Description
Model	Shows the name of the model’s layout. This column is sortable.
Type	The type of locator models available for the layout: Field Identification model Table Identification model
Model Status	The current status of the model: Needs Training Live
Training Status	Needs Training Pending In Progress Failed Canceled Finished Last trained on [date]

Learn more in TDM for Identification Models.

Text Classification tab

Text Classification models allow you to classify freeform text in documents, emails and more. Go to the Text Classification tab to access this table.

You can import or create a Dataset by clicking on the buttons located above the table. The number of Text Classification datasets appears at the top.

Column	Description
Dataset Name	The name of the training data you’ll use for the model.
Date Created	The date the model was created.
Source UUID	UUID code of the model.

To learn more, see Text Classification.

Transcription Models tab

The Transcription tab provides information about the transcription models available in your instance. Learn more in Transcription Models Overview.

Column	Description
Transcription Model	The name of the transcription model.
Flows	The number of flows using this transcription model. Clicking this number reveals a list of the flows.
Model Types	The types of specialized models that have at least one QA record available to them (e.g., Latin Semi-Structured, Checkbox, Signature).

Column

Description

Transcription Model

The name of the transcription model.

Flows

The number of flows using this transcription model. Clicking this number reveals a list of the flows.

Model Types

The types of specialized models that have at least one QA record available to them (e.g., Latin Semi-Structured, Checkbox, Signature).

To manage training datasets, review model performance, and retrain models, see our Training Data Management (TDM) section.