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--- |
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library_name: transformers |
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base_model: |
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- amazon/chronos-bolt-base |
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- autogluon/chronos-bolt-base |
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pipeline_tag: time-series-forecasting |
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tags: |
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- forecasting |
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- time series |
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- intermitent demand |
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--- |
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# Model Card for Chronos Bolt BASE Fine-Tuned Model v3 |
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<img align="center" height="350" src="https://i.giphy.com/klQrJUcrfMsTK.webp"/> </p> |
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The model was fine-tuned on a proprietary dataset. Details about the dataset are confidential. |
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WQL = [0.5082](https://auto.gluon.ai/stable/tutorials/timeseries/forecasting-metrics.html#autogluon.timeseries.metrics.WQL) |
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#### Summary |
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The fine-tuned model performs well for intermittent demand forecasts (e.g., Intermittent and Lumpy Time Series demand forecasts for seasonal products). |
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## Technical Specifications |
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### Model Architecture and Objective |
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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. |
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## Contact: |
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[NIEXCHE](https://niexche.github.io/) |
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[NIEXCHE (Fevzi KILAS)](https://fevzikilas.tech/NOTES/) |
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<img align="center" height="350" src="https://media1.giphy.com/media/v1.Y2lkPTc5MGI3NjExMXd0NDMzMDhzZmZyaXA0MjczMXpqY3hkaDJidnUwMjIxNno2cHY1NCZlcD12MV9pbnRlcm5hbF9naWZfYnlfaWQmY3Q9Zw/HyOOyynWxMxig/giphy.gif"/> </p> |
