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README.md
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model-index:
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- name: AraElectra-QA-EgyLaw-Squad
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# AraElectra-QA-EgyLaw-Squad
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This model is a fine-tuned version of [ZeyadAhmed/AraElectra-Arabic-SQuADv2-QA](https://huggingface.co/ZeyadAhmed/AraElectra-Arabic-SQuADv2-QA) on the
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It achieves the following results on the evaluation set:
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- Loss: 4.0008
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## Model description
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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- Transformers 4.38.1
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- Pytorch 2.1.2
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- Datasets 2.1.0
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- Tokenizers 0.15.2
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model-index:
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- name: AraElectra-QA-EgyLaw-Squad
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results: []
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license: mit
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datasets:
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- BoodyAhmedHamdy/EgyLaw-Squad
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language:
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- ar
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metrics:
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- f1
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- exact_match
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library_name: transformers
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pipeline_tag: question-answering
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# AraElectra-QA-EgyLaw-Squad
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This model is a fine-tuned version of [ZeyadAhmed/AraElectra-Arabic-SQuADv2-QA](https://huggingface.co/ZeyadAhmed/AraElectra-Arabic-SQuADv2-QA) on the [Egyption Law Squad](https://huggingface.co/datasets/BoodyAhmedHamdy/EgyLaw-Squad) dataset.
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It achieves the following results on the evaluation set:
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- Loss: 4.0008
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## Model description
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Araelctra model for Question Answering Task in Egyption law specially Personal Status Law (قانون الاحوال الشخصية)
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this Model was created for a Graduation Project in Computers and Artificial intellgence at Helwan University under supervisation from [Dr.Ensaf Hossen](https://scholar.google.com/citations?user=eeYSe3sAAAAJ&hl=en)
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## About Team
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- [Abdelrahman Ahmed Hamdy](https://github.com/Boodyahmedhamdy)
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- [Shehab Gamal-elden](https://github.com/000Shehab000)
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- [Mohsen Hisham Mohamed](https://github.com/Mohsen-Hesham)
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- [Maya Ahmed Abdelsatar](https://github.com/mayaahmed2002)
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- [Nancy Ahmed Mostafa](https://github.com/Nancyahmedmustafa)
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- [Nour Khaled Ali](https://github.com/NourSewafy)
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### Training hyperparameters
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- Transformers 4.38.1
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- Pytorch 2.1.2
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- Datasets 2.1.0
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- Tokenizers 0.15.2
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