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title: README |
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--- |
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# Model Description |
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ClinicalDistilBERT was developed by training the [BioDistilBERT-cased](https://huggingface.co/nlpie/bio-distilbert-cased?text=The+goal+of+life+is+%5BMASK%5D.) model in a continual learning fashion 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 [BioDistilBERT-cased](https://huggingface.co/nlpie/bio-distilbert-cased?text=The+goal+of+life+is+%5BMASK%5D.) model available on Huggingface. |
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# Architecture |
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In this model, the size of the hidden dimension and the embedding layer are both set to 768. The vocabulary size is 28996. The number of transformer layers is 6 and the expansion rate of the feed-forward layer is 4. Overall, this model has around 65 million parameters. |
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# Citation |
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If you use this model, please consider citing the following paper: |
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```bibtex |
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``` |
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