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--- |
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license: cc-by-nc-nd-4.0 |
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base_model: |
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- Salesforce/moirai-1.0-R-small |
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- Salesforce/moirai-1.0-R-base |
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- Salesforce/moirai-1.0-R-large |
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pipeline_tag: time-series-forecasting |
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--- |
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--- |
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license: cc-by-nc-nd-4.0 |
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base_model: |
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- Salesforce/moirai-1.0-R-small |
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- Salesforce/moirai-1.0-R-base |
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- Salesforce/moirai-1.0-R-large |
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pipeline_tag: time-series-forecasting |
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--- |
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# Time Series Forecasting Model |
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This model is built on top of the Salesforce Moirai architecture, specifically fine-tuned and trained from scratch for time series forecasting tasks. |
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## Model Details |
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### Model Description |
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This model leverages the Moirai architecture from Salesforce, which is designed specifically for time series forecasting. The model is available in multiple versions: |
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- Fine-tuned variants (located in `./finetune` directory) |
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- Trained from scratch variants (located in `./train_from_scratch` directory) |
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All checkpoint files (.ckpt) include self-explanatory naming conventions that indicate their configuration and training approach. |
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### Model Type |
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Time Series Forecasting |
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### Version |
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1.0 |
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## Training Procedure |
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### Training Methodology |
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Two distinct training approaches were utilized: |
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1. **Fine-tuning approach**: Starting with the pre-trained Moirai models (small, base) and fine-tuning on domain-specific data |
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2. **Training from scratch**: Building models with the Moirai architecture but training entirely on specific datasets |
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## Limitations and Biases |
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- The model inherits any limitations present in the base Moirai architecture |
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- Performance may degrade for extremely long-range forecasts |
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- The model may not perform optimally on domains significantly different from its training data |
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## Additional Information |
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### Checkpoints |
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The model checkpoints are organized as follows: |
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- Fine-tuned models: `./finetune/*.ckpt` |
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- Models trained from scratch: `./train_from_scratch/*.ckpt` |
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### Citation |
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If you use this model in your research, please cite: TBA |
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### License |
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This model is licensed under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0). |
