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README.md

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-license: mit
+title: README
+emoji: 🏃
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+colorTo: purple
+sdk: static
+pinned: false
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+
+# Model Description
+TinyClinicalBERT is a distilled version of the [BioClinicalBERT](https://huggingface.co/emilyalsentzer/Bio_ClinicalBERT) which is distilled for 3 epochs using a total batch size of 192 on the MIMIC-III notes dataset.
+
+# Distillation Procedure
+This model uses a unique distillation method called ‘transformer-layer distillation’ which is applied on each layer of the student to align the attention maps and the hidden states of the student with those of the teacher.
+
+# Architecture and Initialisation
+This model uses 4 hidden layers with a hidden dimension size and an embedding size of 768 resulting in a total of 15M parameters. Due to the model's small hidden dimension size, it uses random initialisation.
+
+# Citation
+
+If you use this model, please consider citing the following paper:
+
+```bibtex
+
+```