# T5 fine-tuning

An Arabic text summarization model fine-tuned based on AraT5v2, optimized for news and long-text summarization

A text summarization model fine-tuned on the NorSumm dataset based on ltg/nort5-base, supporting Norwegian text summarization tasks

English-Spanish translation model fine-tuned on the opus100 dataset based on t5-small

A Tibetan Buddhist literature translation model fine-tuned on T5-small, specialized for Uchen Tibetan script to English translation

A research paper summarization model fine-tuned from google/flan-t5-small, optimized for arXiv papers

This model is a fine-tuned T5-large model for distractor generation tasks in multiple-choice questions.

This is a fine-tuned T5-base text generation model specifically designed to generate plausible distractors for multiple-choice questions.

This is a T5-base model fine-tuned on the Helsinki-NLP/opus-100 dataset, specifically designed for English-to-Turkish translation tasks.

A T5-base fine-tuned model for legal document summarization that transforms complex legal terms into easy-to-understand expressions

T5-small fine-tuned English-Nepali neural machine translation model with a BLEU score of 13.86

This is an Estonian text summarization model based on the T5 architecture, specifically designed for summarizing stenographic records of the Estonian Parliament discussions.

A fine-tuned version based on Google's T5-small model, specifically designed for translating English natural language queries into SQL SELECT statements.

A Ukrainian news summarization model fine-tuned based on the T5-small architecture, supporting summarization of news articles in Ukrainian and English.

A text summarization model fine-tuned based on T5-small, specifically designed to generate concise, coherent, and informative summaries from lengthy texts.

A Sanskrit-English translation model fine-tuned on T5-small, trained on the itihasa dataset

A query-focused table summarization generation model fine-tuned based on the T5-large architecture, specifically designed for converting tabular data into natural language summaries.

This model is a fine-tuned version of t5-small on the aslg_pc12 dataset, primarily used for sign language translation tasks.

A Vietnamese text summarization model based on T5 architecture, fine-tuned on an unknown dataset, capable of generating concise Vietnamese summaries.

An English-Hindi translation model fine-tuned on the opus100 dataset based on t5-small

A bidirectional English-Hebrew translation model fine-tuned based on the T5-small architecture, trained on the OPUS100 dataset

An English-to-Korean translation model fine-tuned from KETI-AIR/long-ke-t5-base, trained on multiple AI Hub datasets with a BLEU score of 42.463.

This model is a fine-tuned version of Google's T5-base on the WikiSQL dataset, specifically designed for translating English natural language queries into SQL statements.

A T5 base model fine-tuned for Indonesian text summarization, based on huseinzol05's t5-base-bahasa-summarization-cased model and fine-tuned using the indosum dataset.

A question generation model based on t5-base. Input the answer and context, and output the corresponding question.

This is a text paraphrasing generation model fine-tuned based on the Google T5 Transformer architecture, trained using the Quora question-answer pair dataset, capable of generating semantically similar but differently expressed sentences.

A multilingual translation model fine-tuned based on mt5-base, supporting mutual translation between Chinese, Japanese, and English