Merge branch 'main' of https://huggingface.co/sayyedAhmed/Crisis_Severity_Predictor_LSTM

README.md

@@ -1,22 +1,23 @@
----
-license: mit
----
-Model Details
-The model is configured with the following architecture parameters:
-
-Input Dim: Number of input features
-Hidden Dim: 50 (Number of hidden units in each LSTM layer)
-Output Dim: 1 (The predicted severity score)
-Forecast Horizon: Number of future steps the model predicts (e.g., 1 step ahead)
-Layers: 2 LSTM layers
-Dropout Rate: 0.3 (For regularization)
-Example Data
-The model expects input data in the following format:
-
-Feature	Description
-Total Population	Total population of the affected area
-Landmass Affected	Area affected by the crisis (in square km)
-People Exposed	Number of people exposed to the crisis
-(Other features)	Additional relevant crisis features
-License
+---
+license: mit
+library_name: transformers
+---
+Model Details
+The model is configured with the following architecture parameters:
+
+Input Dim: Number of input features
+Hidden Dim: 50 (Number of hidden units in each LSTM layer)
+Output Dim: 1 (The predicted severity score)
+Forecast Horizon: Number of future steps the model predicts (e.g., 1 step ahead)
+Layers: 2 LSTM layers
+Dropout Rate: 0.3 (For regularization)
+Example Data
+The model expects input data in the following format:
+
+Feature	Description
+Total Population	Total population of the affected area
+Landmass Affected	Area affected by the crisis (in square km)
+People Exposed	Number of people exposed to the crisis
+(Other features)	Additional relevant crisis features
+License
 This model is available under the MIT License (or your preferred license).