anilguven
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mt5-small_squad_tr

Question Answering

text2text-generation

text-generation

Inference Endpoints

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anilguven commited on Apr 19

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 # mT5-small based Turkish Question Answering System
-[Google's Multilingual T5-small](https://huggingface.co/google/mt5-small) is fine-tuned on [Turkish SQuAD](https://tulap.cmpe.boun.edu.tr/items/5b23d251-715c-49fa-82fd-8acb87ea43b6) for **Q&A** downstream task by using Pytorch Lightning.
 The notebook that includes all fine tuning process will be shared on my Github page later [github](https://github.com/google-research/multilingual-t5). mT5 small model has 300 million parameters and model size is about 1.2GB. Therefore, it takes significant amount of time to fine tune it.

 # mT5-small based Turkish Question Answering System
+[Google's Multilingual T5-small](https://huggingface.co/google/mt5-small) is fine-tuned on [Turkish SQuAD](https://github.com/boun-tabi/SQuAD-TR) for **Q&A** downstream task by using Pytorch Lightning.
 The notebook that includes all fine tuning process will be shared on my Github page later [github](https://github.com/google-research/multilingual-t5). mT5 small model has 300 million parameters and model size is about 1.2GB. Therefore, it takes significant amount of time to fine tune it.