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  license: apache-2.0
 
 
 
 
 
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  ---
 
 
 
 
 
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  license: apache-2.0
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+ datasets:
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+ - berkeley-nest/Nectar
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+ language:
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+ - en
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+ pipeline_tag: text-generation
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  ---
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+ # Use cases
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+ This model is used to deep clean the Rhino dataset, making it a higher quality dataset. This model achieved an average MSE loss of 0.095 during training.
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+ # Training
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+ Using trl's RewardTrainer, this model was trained on berkeley-nest/Nectar. The dataset is curated on-the-fly during training, as explained in the Rhino repo.