This model is a fine-tuned version of
facebook/mbart-large-50 trained on a parallel English–Spanish corpus of the Universal Declaration of Human Rights.
It achieves the following results on the evaluation set:
This model is based on mBART-50, a multilingual sequence-to-sequence model, and has been fine-tuned to improve the quality of translations between English and Spanish for the specific domain of legal/human-rights text. It is designed to produce fluent and accurate sentence-level translations that maintain the formal tone and legal register of the source material.
Intended use: Automatic English↔Spanish translation of legal or policy-oriented texts, especially those similar in style to the Universal Declaration of Human Rights.
Limitations: specialized in one specific domain (the Universal Declaration of Human Rights) and may not generalize well to informal or highly technical text outside this domain.
The model was fine-tuned on a parallel corpus of the Universal Declaration of Human Rights in English and Spanish. The training set included sentence-aligned text segments extracted from publicly available translations of the declaration.
The fine-tuning was conducted on a single GPU using the transformers library from Hugging Face.
