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@@ -116,7 +116,7 @@ Scientific domain adaptation has two main steps during instruction tuning.
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- Instruction tuning with restructured domain knowledge, which we call expertise instruction tuning. For K2, we use knowledge-intensive instruction data, GeoSignal.
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***The following is the illustration of the training domain-specific language model recipe:***
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-**Adapter Model on [Hugging Face](https://huggingface.co/): [daven3/k2_it_adapter](https://huggingface.co/daven3/k2_it_adapter)**
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-**Dataset on [Hugging Face](https://huggingface.co/): [geosignal](https://huggingface.co/datasets/daven3/geosignal)**
@@ -138,7 +138,7 @@ The training script is **`run_clm.py`**
@@ -206,7 +206,7 @@ K2 is originally from the name of the second-highest mountain in the world, and
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## Contributors
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This project was founded by Acemap at Shanghai Jiao Tong University, including [Cheng Deng](https://big-cheng.com/), [Tianhang Zhang](https://github.com/zthang), [Zhongmou He](https://github.com/twelfth-star), [Qiyuan Chen](mailto:[email protected]), [Yuanyuan Shi](https://github.com/syy-yoyo), [Le Zhou](https://github.com/lzhou1998), supervised by Weinan Zhang, Luoyi Fu, Zhouhan Lin, [Junxian He](https://jxhe.github.io/), and Xinbing Wang. The whole project is supported by **Chenghu Zhou** and the Institute of Geographical Science, Natural Resources Research, Chinese Academy of Sciences.
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This project was founded by Acemap at Shanghai Jiao Tong University, including [Cheng Deng](https://www.cdeng.net/), [Tianhang Zhang](https://github.com/zthang), [Zhongmou He](https://github.com/twelfth-star), [Qiyuan Chen](mailto:[email protected]), [Yuanyuan Shi](https://github.com/syy-yoyo), [Le Zhou](https://github.com/lzhou1998), supervised by Weinan Zhang, Luoyi Fu, Zhouhan Lin, [Junxian He](https://jxhe.github.io/), and Xinbing Wang. The whole project is supported by **Chenghu Zhou** and the Institute of Geographical Science, Natural Resources Research, Chinese Academy of Sciences.
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