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  - Problem type: Multi-class Classification
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  - CO2 Emissions (in grams): 1.8046766441629636
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  ## Validation Metrics
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  - Loss: 0.398613303899765
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  - Problem type: Multi-class Classification
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  - CO2 Emissions (in grams): 1.8046766441629636
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+ ## Dataset
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+ We used the APCD dataset cited hereafter for pretraining the model. The dataset has been cleaned and only the main text and the Qafiyah column were kept:
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+ ```
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+ @Article{Yousef2019LearningMetersArabicEnglish-arxiv,
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+ author = {Yousef, Waleed A. and Ibrahime, Omar M. and Madbouly, Taha M. and Mahmoud,
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+ Moustafa A.},
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+ title = {Learning Meters of Arabic and English Poems With Recurrent Neural Networks: a Step
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+ Forward for Language Understanding and Synthesis},
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+ journal = {arXiv preprint arXiv:1905.05700},
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+ year = 2019,
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+ url = {https://github.com/hci-lab/LearningMetersPoems}
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+ }
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+ ```
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+
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  ## Validation Metrics
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  - Loss: 0.398613303899765