Update README.md

README.md

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-# Bio-ClinicalBERT_vascular_classification
+# Bio-ClinicalBERT Vascular Classification
 
-This model was trained from scratch on an unknown dataset.
-It achieves the following results on the evaluation set:
+This model is a fine-tuned version of BioClinicalBERT to perform clinical text classification to identify acute vascular admissions from Electronic Health Records (EHRs).
 
+## Model Details
+
+- **Model type**: BERTForSequenceClassification
+- **Architecture**: BERT
+- **Base model**: BioClinicalBERT
+- **Fine-tuning objective**: Text classification (identifying acute vascular admissions using EHRs)
+- **Frameworks**: TensorFlow and PyTorch
+
+## Intended Use
+
+This model is designed to be used for the classification of EHRs. Users in the healthcare and biomedical research sectors can use this model to automatically categorise clinical information.
 
 ## Model description