---
library_name: transformers
base_model:
- amazon/chronos-bolt-base
- autogluon/chronos-bolt-base
pipeline_tag: time-series-forecasting
tags:
- forecasting
- time series
- intermitent demand
---
# Model Card for Chronos Bolt BASE Fine-Tuned Model v3


<img align="center" height="350" src="https://i.giphy.com/klQrJUcrfMsTK.webp"/> </p>

The model was fine-tuned on a proprietary dataset. Details about the dataset are confidential.
 
WQL = [0.5082](https://auto.gluon.ai/stable/tutorials/timeseries/forecasting-metrics.html#autogluon.timeseries.metrics.WQL)

#### 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/)

<img align="center" height="350" src="https://media1.giphy.com/media/v1.Y2lkPTc5MGI3NjExMXd0NDMzMDhzZmZyaXA0MjczMXpqY3hkaDJidnUwMjIxNno2cHY1NCZlcD12MV9pbnRlcm5hbF9naWZfYnlfaWQmY3Q9Zw/HyOOyynWxMxig/giphy.gif"/> </p>