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README.md
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results: []
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---
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<!-- This model card has been generated automatically according to the information Keras had access to. You should
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probably proofread and complete it, then remove this comment. -->
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# bert-veg
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This model was trained from
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It achieves the following results on the evaluation set:
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- optimizer:
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- training_precision: float32
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### Training results
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results: []
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# bert-veg
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This model was trained from bert-base-uncased on a custom dataset
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of labelled answers to the question "Are you vegetarian or vegan?"
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The 4 valid answers are "vegetarain", "vegan", "false", and "unknown".
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It achieves the following results on the evaluation set:
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~99% accuracy after 5 epochs.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- optimizer: Adam
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- training_precision: float32
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### Training results
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