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README.md ADDED
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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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+ ---
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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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+
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+ # AraElectra-QA-EgyLaw-Squad
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+
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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 None 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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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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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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+
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+
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+ ### Framework versions
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+
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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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