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README.md
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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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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 Small 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 containing 190 million time seires datapoint. While details about the dataset are confidential, the following general characteristics are provided:
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- The dataset consists of multi-dimensional time-series data.
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- Also added additional exogenous information about the target series (7 additional columns; 3 of them are different types of volumes of the target series).
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WQL = 0.5031
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#### Summary
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The fine-tuned model performs well for intermittent demand forecasts (e.g., discrete 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>
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