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---
title: README
emoji: 🏃
colorFrom: gray
colorTo: purple
sdk: static
pinned: false
---
# Model Description
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.
# Initialisation
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.
# Architecture
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.
# Citation
If you use this model, please consider citing the following paper:
```bibtex
```
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