Create README.md

README.md

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+# BERT MCN-Model using SMM4H 2017 (subtask 3) data
+
+The model was trained using [clagator/biobert_v1.1_pubmed_nli_sts](https://huggingface.co/clagator/biobert_v1.1_pubmed_nli_sts) as a base and the smm4h dataset from 2017 from subtask 3. 
+
+## Dataset
+
+See [here](https://github.com/olastor/medical-concept-normalization/tree/main/data/smm4h) for the scripts and datasets.
+
+**Attribution**
+
+Sarker, Abeed (2018), “Data and systems for medication-related text classification and concept normalization from Twitter: Insights from the Social Media Mining for Health (SMM4H)-2017 shared task”, Mendeley Data, V2, doi: 10.17632/rxwfb3tysd.2
+
+### Test Results
+
+- Acc: 89.44 
+- Acc@2: 91.84 
+- Acc@3: 93.20
+- Acc@5: 94.32
+- Acc@10: 95.04
+
+Acc@N denotes the accuracy taking the top N predictions of the model into account, not just the first one.