Upload fine-tuned Kronos predictor model

README.md

@@ -20,7 +20,7 @@ widget:
 
 # Kronos Predictor - Fine-tuned on Custom Dataset
 
-This is a fine-tuned version of [Kronos-small](https://huggingface.co/NeoQuasar/Kronos-small) predictor,
+This is a fine-tuned version of [Kronos](https://huggingface.co/NeoQuasar/Kronos-small) predictor,
 adapted for better performance on custom financial datasets.
 
 ## Model Details
@@ -34,9 +34,75 @@ adapted for better performance on custom financial datasets.
 
 ## Training Details
 
-- **Training Data**: Crypto Dataset
+- **Training Data**: Crypto Dataset (BTC, ETH, SOL, XAU)
 - **Time Range**: 2022-01-21 to 2025-09-16
 - **Frequency**: 5-minute intervals
 - **Sequence Length**: 90 historical points
 - **Prediction Horizon**: 10 future points
 
+## Usage
+
+### For Tokenizer
+```python
+from model.kronos import KronosTokenizer
+
+tokenizer = KronosTokenizer.from_pretrained("NeoQuasar/Kronos-small")
+# Your tokenization code here
+```
+
+### For Predictor
+```python
+from model.kronos import Kronos, KronosTokenizer, KronosPredictor
+
+tokenizer = KronosTokenizer.from_pretrained("NeoQuasar/Kronos-small")
+model = Kronos.from_pretrained("NeoQuasar/Kronos-small")
+predictor = KronosPredictor(model, tokenizer, device="cuda")
+
+# Your prediction code here
+predictions = predictor.predict(...)
+```
+
+### With the Original Repository
+```python
+# Clone the Kronos repository
+git clone https://github.com/shiyu-coder/Kronos.git
+cd Kronos
+
+# Use the fine-tuned models
+python examples/use_finetuned_model.py \
+    --csv_data your_data.csv \
+    --lookback 400 \
+    --pred_len 120
+```
+
+## Performance
+
+This fine-tuned model shows improved performance on the target domain compared to the base model:
+
+- **Domain Adaptation**: Specialized for the training dataset characteristics
+- **Numerical Stability**: Improved convergence during fine-tuning
+- **Inference Speed**: Optimized for the target sequence lengths
+
+## Limitations
+
+- Optimized for 5-minute financial data intervals
+- May require re-tuning for different time frequencies
+- Performance may vary on datasets with different statistical properties
+
+## Citation
+
+```bibtex
+@misc{shi2025kronos,
+      title={Kronos: A Foundation Model for the Language of Financial Markets},
+      author={Yu Shi and Zongliang Fu and Shuo Chen and Bohan Zhao and Wei Xu and Changshui Zhang and Jian Li},
+      year={2025},
+      eprint={2508.02739},
+      archivePrefix={arXiv},
+      primaryClass={q-fin.ST},
+      url={https://arxiv.org/abs/2508.02739},
+}
+```
+
+## Contact
+
+For questions or issues, please open an issue on the [Kronos GitHub repository](https://github.com/shiyu-coder/Kronos).

model.safetensors

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