Model save

README.md

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+---
+base_model: ZeyadAhmed/AraElectra-Arabic-SQuADv2-QA
+tags:
+- generated_from_trainer
+model-index:
+- name: AraElectra-Arabic-SQuADv2-QA-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-Arabic-SQuADv2-QA-finetuned-squad
+
+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.
+It achieves the following results on the evaluation set:
+- Loss: 1.3131
+
+## 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   | 144  | 0.9565          |
+| No log        | 2.0   | 288  | 1.0444          |
+| No log        | 3.0   | 432  | 1.2422          |
+| 0.6612        | 4.0   | 576  | 1.3131          |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.2
+- Tokenizers 0.19.1

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