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--- |
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base_model: ZeyadAhmed/AraElectra-Arabic-SQuADv2-QA |
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tags: |
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- generated_from_trainer |
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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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should probably proofread and complete it, then remove this comment. --> |
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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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The following hyperparameters were used during training: |
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- learning_rate: 3e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 89 | 3.2762 | |
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| 3.9126 | 2.0 | 178 | 3.0150 | |
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| 2.5679 | 3.0 | 267 | 2.8324 | |
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| 1.7576 | 4.0 | 356 | 2.9655 | |
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| 1.1946 | 5.0 | 445 | 3.1643 | |
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| 0.8854 | 6.0 | 534 | 3.0778 | |
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| 0.7387 | 7.0 | 623 | 3.2814 | |
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| 0.6067 | 8.0 | 712 | 3.2391 | |
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| 0.5201 | 9.0 | 801 | 3.3717 | |
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| 0.5201 | 10.0 | 890 | 3.5752 | |
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| 0.4377 | 11.0 | 979 | 3.6657 | |
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| 0.4025 | 12.0 | 1068 | 3.8178 | |
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| 0.4077 | 13.0 | 1157 | 3.7404 | |
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| 0.3355 | 14.0 | 1246 | 3.7566 | |
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| 0.3627 | 15.0 | 1335 | 3.9959 | |
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| 0.3376 | 16.0 | 1424 | 3.8815 | |
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| 0.3676 | 17.0 | 1513 | 3.9674 | |
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| 0.3165 | 18.0 | 1602 | 3.9368 | |
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| 0.3165 | 19.0 | 1691 | 3.9836 | |
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| 0.3148 | 20.0 | 1780 | 4.0008 | |
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### Framework versions |
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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 |
