Update README.md

README.md

@@ -4,4 +4,30 @@ datasets:
 - jonathan-roberts1/Satellite-Images-of-Hurricane-Damage
 tags:
 - climate
----
+---
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+This model is trained on a subset of `jonathan-roberts1/Satellite-Images-of-Hurricane-Damage?` and performs binary classification on satellite images into either damaged or not damaged.
+
+The model was trained using PyTorch on Intel Developer Cloud using ipex optimization. Here is the Neural Network architecture:
+
+```python
+model.fc = nn.Sequential(
+           nn.Linear(2048, 128),
+           nn.ReLU(inplace=True),
+            nn.Linear(128, 64),
+           nn.ReLU(inplace=True),
+           nn.Linear(64, 2))
+```
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+Some use cases include emergency response and disaster detection.
+
+## Bias, Risks, and Limitations
+
+This model is limited in use as it only performs binary classification. Further extensions include adding more classes to the model or more diverse data to the model.