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ADELIE-DPO
THU-KEG/ADELIE-DPO
ADELIE-DPO is a text generation model from THU-KEG. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as llama2.
<p align="justify" We introduce <bADELIE</b (<bA</bligning large language mo<bDEL</bs on <bI</bnformation <bE</bxtraction), an aligned LLM that effectively solves various IE tasks, including closed IE, open IE, and on…
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- llama2
- Model type
- llama
- Access
- Public
- Created
- May 10, 2024
- Updated
- Nov 4, 2024
- SHA
- e173b01e
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Model card
From the Hugging Face model README
Model Card for ADELIE-DPO
<!-- Provide a quick summary of what the model is/does. --> <p align="justify"> We introduce <b>ADELIE</b> (<b>A</b>ligning large language mo<b>DEL</b>s on <b>I</b>nformation <b>E</b>xtraction), an aligned LLM that effectively solves various IE tasks, including closed IE, open IE, and on-demand IE. We first collect and construct a high-quality alignment corpus <font face="Verdana">IEInstruct</font> for IE. Then we train ADELIE<sub>SFT</sub> using instruction tuning on <font face="Verdana">IEInstruct</font>. We further train ADELIE<sub>SFT</sub> with direct preference optimization (DPO) objective, resulting in ADELIE<sub>DPO</sub>. Extensive experiments on various held-out IE datasets demonstrate that our models (ADELIE<sub>SFT</sub> and ADELIE<sub>DPO</sub>) achieve state-of-the-art (SoTA) performance among open-source models. We further explore the general capabilities of ADELIE, and experimental results reveal that their general capabilities do not exhibit a noticeable decline. </p> - 🐧 Github: [THU/ADELIE](https://github.com/THU-KEG/ADELIE/tree/main)Model Performance
The table below presents the average F1 scores (%) of the ADELIE model across closed IE, open IE, and on-demand IE tasks, as well as its overall performance (%) on general benchmarks. For dataset details, please refer to the paper.
| Model | Closed IE | Open IE | On-demand IE | General Average Score |
|---|---|---|---|---|
| Llama2 7B | 5.7 | 5.6 | 22.4 | 52.2 |
| ADELIE-SFT | 42.6 | 46.9 | 60.4 | 53.5 |
| ADELIE-DPO | 42.7 | 47.6 | 60.5 | 53.8 |
| ----------------- | ----------- | --------- | -------------- | ----------------------- |
| Llama3.2 3B | 19.1 | 18.5 | 20.8 | 55.5 |
| ADELIE-SFT-3B | 41.8 | 47.6 | 60.8 | 55.6 |
| ADELIE-DPO-3B | 39.2 | 47.8 | 60.7 | 55.6 |
| ----------------- | ----------- | --------- | -------------- | ----------------------- |
| Qwen2.5 1.5B | 16.5 | 14.2 | 20.5 | 54.6 |
| ADELIE-SFT-1.5B | 37.7 | 44.6 | 58.9 | 55.0 |
| ADELIE-DPO-1.5B | 38.5 | 45.6 | 59.2 | 55.1 |
Model Description
<!-- Provide a longer summary of what this model is. -->- Developed by: Yunjia Qi, Hao Peng, Xiaozhi Wang, Bin Xu, Lei Hou, Juanzi Li
- Model type: Text Generation
- Language(s) (NLP): English
- License: LLaMA2 License for the base model.
- Finetuned from model [optional]: LLaMA2-7B
- Task
- Text Generation
- Library
- transformers
- Type
- llama
- License
- llama2
- Languages
- en
- Created
- May 10, 2024
- Updated
- Nov 4, 2024