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  # Model Description
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- ClinicalMobileBERT is the result of training the [BioMobileBERT](https://huggingface.co/google/nlpie/bio-mobilebert) model in a continual learning scenario for 3 epochs using a total batch size of 192 on the MIMIC-III notes dataset.
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  # Initialisation
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  We initialise our model with the pre-trained checkpoints of the [BioMobileBERT](https://huggingface.co/google/nlpie/bio-mobilebert) model available on Huggingface.
 
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  # Model Description
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+ ClinicalMobileBERT is the result of training the [BioMobileBERT](https://huggingface.co/nlpie/bio-mobilebert) model in a continual learning scenario for 3 epochs using a total batch size of 192 on the MIMIC-III notes dataset.
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  # Initialisation
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  We initialise our model with the pre-trained checkpoints of the [BioMobileBERT](https://huggingface.co/google/nlpie/bio-mobilebert) model available on Huggingface.