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Browse files- README.md +45 -0
- config.json +13 -0
- model.safetensors +3 -0
README.md
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---
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language: zh
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license: mit
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tags:
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- finance
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- time-series
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- taiwan
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- stock
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- kronos
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base_model: NeoQuasar/Kronos-base
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---
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# Kronos-TW-Predictor
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Kronos Autoregressive Predictor fine-tuned on Taiwan Stock Exchange (TWSE) daily data.
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## Base Model
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[NeoQuasar/Kronos-base](https://huggingface.co/NeoQuasar/Kronos-base)
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## Training Data
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- Source: TWSE listed stocks (613 stocks after quality filtering)
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- Period: 2010-01-01 ~ 2024-12-31
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- Features: open, high, low, close, volume, amount
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- Predict window: 10 trading days
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## Training Config
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- Epochs: 3
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- Batch size: 8 (effective 256 with gradient accumulation)
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- Learning rate: 4e-5
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- Hardware: RTX 4080 Laptop 12GB
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## Usage
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Use with [Kronos-TW-Tokenizer](https://huggingface.co/talant28/Kronos-TW-Tokenizer)
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## Citation
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This model is fine-tuned from Kronos. If you use this work, please cite the original paper:
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```bibtex
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@article{shi2025kronos,
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title={Kronos: A Foundation Model for Time Series},
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author={Shi, Yu and others},
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journal={arXiv preprint arXiv:2504.03249},
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year={2025}
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}
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```
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config.json
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{
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"attn_dropout_p": 0.0,
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"d_model": 832,
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"ff_dim": 2048,
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"ffn_dropout_p": 0.2,
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"learn_te": true,
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"n_heads": 16,
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"n_layers": 12,
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"resid_dropout_p": 0.2,
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"s1_bits": 10,
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"s2_bits": 10,
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"token_dropout_p": 0.0
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:6ddef65a1e2f7c328700f43420c7957f4fd8f793a7b441b269df4de5989ebf38
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size 409264008
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