# BLEU Optimization

This model is a fine-tuned English to Dzongkha translation model based on facebook/nllb-200-distilled-600M

A Hausa-to-Chinese translation model fine-tuned based on T5-small, achieving a BLEU score of 30.0183 on the evaluation set.

An image captioning model based on the ViT-GPT2 architecture, capable of generating natural language descriptions for input images.

An image captioning model based on the ViT-GPT2 architecture, capable of generating natural language descriptions for input images.

An image-to-text model based on the transformers library, capable of converting image content into descriptive text.

English to Nepali translation model fine-tuned on unknown datasets based on the NLLB-200 distilled model

This model is trained on Arabic dialect datasets for translating Arabic dialects into Modern Standard Arabic (MSA).

This model is a fine-tuned English-to-Hinglish (Hindi-English hybrid language) translation model based on Helsinki-NLP/opus-mt-en-hi, trained on the findnitai/english-to-hinglish dataset.

This is a translation model trained from scratch on an unknown dataset, supporting English to Nahuatl translation tasks.

Chinese to English translation model fine-tuned based on Helsinki-NLP/opus-mt-zh-en

NLLB is a multilingual machine translation model supporting 200 languages, designed to cover the majority of global languages, especially low-resource languages.

An English-to-Japanese translation model fine-tuned on the kde4 dataset, based on Helsinki-NLP/opus-tatoeba-en-ja

This model is a Portuguese-English translation model fine-tuned on the OPUS100 dataset for Neural Machine Translation (NMT) tasks, based on the mBART-50 large model.