README.md

metadata

license: mit
library_name: transformers

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.

2. Evaluation Results

Comprehensive Benchmark Results

	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

Overall Performance Summary

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

3. License

MIT License

4. Contact

Open an issue on GitHub.