nieche/chronos-bolt-small-fine-tuned-v3

Model Card for Chronos Bolt Small Fine-Tuned Model v3

The model was fine-tuned on a proprietary dataset containing 25 million rows of time-series data. While details about the dataset are confidential, the following general characteristics are provided:

• The dataset consists of multi-dimensional time-series data.
• Also added additional exogenous information about the target series (5 additional columns; 2 of them are different types of volumes of the target series).

WQL = 0.5908

This large-scale dataset ensures the model captures complex patterns and temporal dependencies necessary for accurate forecasting.

Summary

The fine-tuned model performs well on intermitent demand forecasting.

Technical Specifications

Model Architecture and Objective

The model is based on the amazon/chronos-bolt-small architecture, fine-tuned specifically for intermittent time-series forecasting tasks. It leverages pre-trained capabilities for sequence-to-sequence modeling, adapted to handle multi-horizon forecasting scenarios.

Contact:

NIEXCHE

NIEXCHE (Fevzi KILAS)