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license: apache-2.0
library_name: transformers
---
# ReasoningModel
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<img src="figures/fig1.png" width="60%" alt="ReasoningModel" />
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<a href="LICENSE" style="margin: 2px;">
<img alt="License" src="figures/fig2.png" style="display: inline-block; vertical-align: middle;"/>
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## 1. Introduction
ReasoningModel is optimized for complex reasoning tasks. This checkpoint is selected based on the combined performance of math reasoning and logical reasoning benchmarks.
<p align="center">
<img width="80%" src="figures/fig3.png">
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Compared to general-purpose models, ReasoningModel demonstrates significantly improved performance on tasks requiring multi-step reasoning, mathematical computation, and logical inference.
## 2. Evaluation Results
### Comprehensive Benchmark Results
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| | Benchmark | ReasonBase | ReasonPro | ReasoningModel |
|---|---|---|---|---|
| **Core Reasoning Tasks** | Math Reasoning | 0.510 | 0.535 | 0.550 |
| | Logical Reasoning | 0.789 | 0.801 | 0.819 |
| | Common Sense | 0.716 | 0.702 | 0.717 |
| **Language Understanding** | Reading Comprehension | 0.671 | 0.685 | 0.645 |
| | Question Answering | 0.582 | 0.599 | 0.607 |
| | Text Classification | 0.803 | 0.811 | 0.883 |
| | Sentiment Analysis | 0.777 | 0.781 | 0.867 |
| **Generation Tasks** | Code Generation | 0.615 | 0.631 | 0.578 |
| | Creative Writing | 0.588 | 0.579 | 0.661 |
| | Dialogue Generation | 0.621 | 0.635 | 0.650 |
| | Summarization | 0.745 | 0.755 | 0.767 |
| **Specialized Capabilities**| Translation | 0.782 | 0.799 | 0.846 |
| | Knowledge Retrieval | 0.651 | 0.668 | 0.624 |
| | Instruction Following | 0.733 | 0.749 | 0.675 |
| | Safety Evaluation | 0.718 | 0.701 | 0.792 |
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### Reasoning Performance Highlight
ReasoningModel achieves strong performance on both math reasoning and logical reasoning benchmarks, making it the best choice for reasoning-intensive applications.
## 3. License
[Apache-2.0 License](LICENSE)
## 4. Contact
Open an issue on GitHub.
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