Update README.md

README.md

@@ -65,6 +65,30 @@ The model is hosted on the Hugging Face model hub at [aleynahukmet/bge-medical-s
 4. Utilize Encoded Vectors:
    The encoded vectors can be used for various downstream tasks, such as semantic search, clustering, or classification, depending on your specific application needs.
 
+## Training:
+You can review the code for fine-tuning in this [notebook](https://github.com/aleynahukmet/medical-qa/blob/main/medical-qa.ipynb).
+
+## Evaluation:
+
+I used Translation Evaluator to evaluate the model on the test set, and it achieved ~0.887 (a 10-point improvement from 0.78 for the base model).
+   
+## Requirements:
+
+ ```
+datasets==2.18.0
+numpy==1.24.4
+pandas==2.0.3
+sentence_transformers==2.5.1
+torch==2.0.1
+
+```
+If you don't have the requirements installed, they can be installed with the following:
+
+ ```
+pip install -r requirements.txt
+
+```
+