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  ## Overview
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- This model is a fine-tuned version of ParsT5 (base) specifically designed for the Persian Simplification Task. The training data consists of Persian legal texts (متون رای دادگاه های عالی و بدوی فارسی). The model is trained using supervised fine-tuning and employs the **Unlimiformer Algorithm** to handle large inputs effectively.
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  - **Architecture**: ParsT5-base
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  - **Language**: Persian
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  - **Task**: Text Simplification
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  - **Training Setup**:
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- - **Algorithm**: Unlimiformer
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  - **Epochs**: 12
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  - **Hardware**: NVIDIA GPU 4070
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  Author: Mohammadreza Joneidi Jafari
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  Email: [email protected]
 
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  ## Overview
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+ This model is a fine-tuned version of ParsT5 (base) designed explicitly for the Persian Simplification Task. The training data consists of Persian legal texts. The model is trained using supervised fine-tuning and employs the **Unlimiformer Algorithm** to handle large inputs effectively.
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  - **Architecture**: ParsT5-base
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  - **Language**: Persian
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  - **Task**: Text Simplification
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  - **Training Setup**:
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+ - **Algorithm for reducing computation**: Unlimiformer
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  - **Epochs**: 12
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  - **Hardware**: NVIDIA GPU 4070
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  Author: Mohammadreza Joneidi Jafari
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  Email: [email protected]