nieche/chronos-bolt-small-fine-tuned-v1

Model Card for Chronos T5 Small Fine-Tuned Model

Summary

This model is fine-tuned for time-series forecasting tasks and serves as a tool for both practical predictions and research into time-series demand forecasting. It is based on the amazon/chronos-bolt-small model and has been adapted using a dataset with 25 million rows of proprietary time-series data. Due to confidentiality restrictions, dataset details cannot be shared.

Fine-Tuning Dataset

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.

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 time-series forecasting tasks. It leverages pre-trained capabilities for sequence-to-sequence modeling, adapted to handle multi-horizon forecasting scenarios.

Contact:

NIEXCHE (Fevzi KILAS)