Release Notes | January 2025

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New Feature

Training Loss Chart in Run Details

We have added a dynamic training loss chart to the Run Details page, providing users with critical insights into model performance during fine-tuning:

• Y-Axis: Displays loss values to indicate model performance trends.
• Upper X-Axis: Shows the number of epochs selected during run creation.
• Lower X-Axis: Represents "steps," calculated as:
  Total Steps = (Total Number of Samples ÷ number of instances * Batch Size) × Number of Epochs

This new feature enables users to track loss convergence and make informed adjustments, reducing the number of repeated fine-tuning cycles needed to optimize results. By minimizing fine-tuning runs, it saves time, compute resources, and associated costs.

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Improvements & Bug Fixes

Enhanced Data Ingestion

Users can now upload Markdown, PDF, and Word files as valid file types for data ingestion during data creation. This update, available on API and SDK, makes working with diverse data formats easier, streamlining the ingestion process and reducing the need for file conversions.

Expanded Base Model Library

The base model library now includes the Mistral-7B-Instruct-v0.2 model from Mistral AI. This model is available for fine-tuning, inference, and testing in the Sandbox, offering more options to tailor your AI solutions.

Bug Fixes and Stability Improvements

Small bug fixes and performance updates to make SeekrFlow™ smoother and more reliable for users.