Model save

README.md

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+---
+base_model: Damith/AraELECTRA-discriminator-QuranQA
+tags:
+- generated_from_trainer
+model-index:
+- name: AraELECTRA-discriminator-QuranQA-finetuned-squad
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# AraELECTRA-discriminator-QuranQA-finetuned-squad
+
+This model is a fine-tuned version of [Damith/AraELECTRA-discriminator-QuranQA](https://huggingface.co/Damith/AraELECTRA-discriminator-QuranQA) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.8556
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 3e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 140  | 1.3915          |
+| No log        | 2.0   | 280  | 1.5291          |
+| No log        | 3.0   | 420  | 1.7309          |
+| 0.8941        | 4.0   | 560  | 1.8556          |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.1

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