metadata
library_name: transformers
base_model:
- amazon/chronos-bolt-small
pipeline_tag: time-series-forecasting
tags:
- forecasting
- time series
- intermitent demand
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.