added

Bug Fixes & Improvements

March 8th, 2024

🚀 New Features

Training Result Visualization

Added functions to plot training metrics and loss curves, enabling users to monitor model performance over time.

Profile Result Plotting

Introduced plots for profiling results by step size and compression ratio, assisting in analyzing compression effects.

Unique Folder Creation

Implemented automatic creation of unique output directories when downloading artifacts, preventing file overwrites.

Artifact Download Functionality

Added the ability to download artifacts (e.g., trained models, logs) directly through the SDK.

Job Status Monitoring

Users can now monitor the status of training, evaluation, and export jobs, providing better workflow management.

Pruning Configuration Enhancements

Introduced options for step size, step operation, and reverse pruning, offering more control over the pruning process.

🐞 Bug Fixes

Resolved issues related to the scope of Y-axis limits in plots, ensuring accurate data visualization.
Fixed problems with output directory creation when downloading artifacts, enhancing file management reliability.
Addressed inconsistencies in default step size values for pruning configurations.

🧠 Why these matter

These updates enhance the user experience by providing better visualization tools and more control over model optimization processes.
Improved artifact management and job monitoring streamline the workflow, making model development more efficient.
The bug fixes ensure that the new features operate smoothly, contributing to a more stable and reliable platform.