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README.md
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- Text Classification
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metrics:
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- f1
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---
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# Arabic NER Model using Flair Embeddings
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Training was conducted over 94 epochs, using a linear decaying learning rate of 2e-05, starting from 0.225 and a batch size of 32 with GloVe and Flair forward and backward embeddings.
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- Text Classification
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metrics:
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- f1
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widget:
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- text: "لائحة «الوطنية للصحافة».. خطوة جديدة في طريق «الحصار»"
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---
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# Arabic NER Model using Flair Embeddings
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Training was conducted over 94 epochs, using a linear decaying learning rate of 2e-05, starting from 0.225 and a batch size of 32 with GloVe and Flair forward and backward embeddings.
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