README.md

---
license: mit
library_name: transformers
---
# MultiLangModel

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  <img src="figures/fig1.png" width="60%" alt="MultiLangModel" />
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## 1. Introduction

MultiLangModel excels at translation and multilingual tasks. This checkpoint is selected based on the best translation benchmark score.

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  <img width="80%" src="figures/fig3.png">
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## 2. Evaluation Results

### Comprehensive Benchmark Results

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| | Benchmark | MLModel-v1 | MLModel-v2 | MultiLangModel |
|---|---|---|---|---|
| **Core Reasoning Tasks** | Math Reasoning | 0.510 | 0.535 | 0.508 |
| | Logical Reasoning | 0.789 | 0.801 | 0.812 |
| | Common Sense | 0.716 | 0.702 | 0.724 |
| **Language Understanding** | Reading Comprehension | 0.671 | 0.685 | 0.688 |
| | Question Answering | 0.582 | 0.599 | 0.610 |
| | Text Classification | 0.803 | 0.811 | 0.825 |
| | Sentiment Analysis | 0.777 | 0.781 | 0.790 |
| **Generation Tasks** | Code Generation | 0.615 | 0.631 | 0.630 |
| | Creative Writing | 0.588 | 0.579 | 0.603 |
| | Dialogue Generation | 0.621 | 0.635 | 0.647 |
| | Summarization | 0.745 | 0.755 | 0.767 |
| **Specialized Capabilities**| Translation | 0.782 | 0.799 | 0.804 |
| | Knowledge Retrieval | 0.651 | 0.668 | 0.683 |
| | Instruction Following | 0.733 | 0.749 | 0.757 |
| | Safety Evaluation | 0.718 | 0.701 | 0.721 |

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### Overall Performance Summary
MultiLangModel achieves top performance on translation tasks while maintaining strong results across all other benchmarks.

## 3. License
[MIT License](LICENSE)

## 4. Contact
Open an issue on GitHub.