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  # BERThard
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- This model is a fine-tuned version of [aubmindlab/bert-base-arabertv2](https://huggingface.co/aubmindlab/bert-base-arabertv2) on Hotel Arabic Reviews Dataset (HARD) dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.4141
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  - Accuracy: 0.8311
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  ## Training procedure
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- We have trained this model using the Paperspace GPU-Cloud service. We used a machine with 8 CPUs, 45GB RAM, and A6000 GPU with 48GB RAM.
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  ### Training hyperparameters
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  # BERThard
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+ This model is a fine-tuned version of [aubmindlab/bert-base-arabertv2](https://huggingface.co/aubmindlab/bert-base-arabertv2) on the Hotel Arabic Reviews Dataset (HARD) dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.4141
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  - Accuracy: 0.8311
 
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  ## Training procedure
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+ We have trained this model using the PaperSpace GPU-Cloud service. We used a machine with 8 CPUs, 45GB RAM, and A6000 GPU with 48GB RAM.
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  ### Training hyperparameters
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