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End of training

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@@ -19,11 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1801
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- - Accuracy: 0.9416
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- - F1: 0.9429
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- - Precision: 0.9234
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- - Recall: 0.9632
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  ## Model description
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@@ -54,7 +54,7 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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- | 0.1996 | 1.0 | 1850 | 0.1801 | 0.9416 | 0.9429 | 0.9234 | 0.9632 |
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  ### Framework versions
 
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1789
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+ - Accuracy: 0.9437
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+ - F1: 0.9452
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+ - Precision: 0.9212
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+ - Recall: 0.9706
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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+ | 0.202 | 1.0 | 1850 | 0.1789 | 0.9437 | 0.9452 | 0.9212 | 0.9706 |
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  ### Framework versions