Trainer

Trainer

• Updated on May 16, 2025

• Published on Mar 18, 2025

• 1 minute(s) read

Using features for Semi-structured documents
This article mentions features used in the processing of Semi-structured documents. Your access to those features 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.

The trainer is a separate machine dedicated to handling resource-heavy tasks like training Identification models. Running it on the same machine as the main application would slow down submission processing. Instead, the trainer operates independently and connects to the main application through the API.

Processing Semi-structured documents, such as invoices, paystubs, and explanations of benefits, requires installing the Hyperscience Trainer on a dedicated machine with at least 64GB of RAM. We recommended that all customers install the trainer to take advantage of Transcription Accuracy Training.

See the following links for more information on all of the jobs that run in the trainer:

• Training a New Field Identification Model
• Training a New Table Identification Model
• Document Drift Management (Layout Triage)
• Transcription Settings
• Document Classification Settings

Navigating the Trainer page

Navigate to Administration > Trainer to view and manage all running jobs.

On the Trainer page, you can:

• View all running, pending, failed, finished, and canceled jobs.
• Cancel pending and running jobs.
  • For more information on this, see Canceling or Retrying a Training Job.
• View how many and which trainers are connected to the application.
  • If no trainer model is detected, a warning message will show at the top of the Trainer Queue.
  • If an incompatible trainer model is connected (e.g., a trainer version that is older than the version of the application), the UI will indicate this incompatibility. You should uninstall the incompatible trainer because it will use up memory even while idle.

Guidelines for Running the Trainer

1. Separate from the main application, you must also install the trainer application on a dedicated machine with at least 64GB of RAM. You can also run multiple trainers on one machine, but only one job will run at a time per machine.

2. You can have multiple trainers on multiple machines to run different jobs simultaneously, including two trainers of the same version. Only one job can run at a time per machine.

   • All jobs are cancellable in the Trainer Queue.
   • If a job fails, the trainer will retry it two additional times before entering a terminal failed state.