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# bibert-v0.1
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This model was
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### Training hyperparameters
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# bibert-v0.1
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This model was fine-tuned from `bert-base-uncased` on the Hebrew Bible verses. It was trained to perfrom fill-mask of randomly masked words. It achieved loss of 1.32 after 4700 training iterations.
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### Training hyperparameters
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