--- library_name: transformers base_model: - amazon/chronos-bolt-base pipeline_tag: time-series-forecasting tags: - forecasting - time series - intermitent demand --- # Model Card for Chronos Bolt BASE Fine-Tuned Model v1

The model was fine-tuned on a proprietary dataset containing 190 million time seires datapoint. 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 (7 additional columns; 3 of them are different types of volumes of the target series). WQL = 0.5031 #### Summary The fine-tuned model performs well for intermittent demand forecasts (e.g., Intermittent and Lumpy Time Series demand forecasts for seasonal products). ## Technical Specifications ### Model Architecture and Objective The model is based on the `amazon/chronos-bolt-base` 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](https://niexche.github.io/) [NIEXCHE (Fevzi KILAS)](https://fevzikilas.tech/NOTES/)