Update README.md

README.md

@@ -18,20 +18,15 @@ It achieves the following results on the evaluation set:
 - Train Loss: 0.0812
 - Validation Loss: 0.0961
 - Epoch: 4
+- Overall Accuracy: 0.968
 
 ## Model description
 
-More information needed
-
-## Intended uses & limitations
-
-More information needed
+This model is trained to extract entity names from reports of mammographic images.
 
 ## Training and evaluation data
 
-More information needed
-
-## Training procedure
+The data has been provided by Teknofest. 
 
 ### Training hyperparameters
 
@@ -39,6 +34,27 @@ The following hyperparameters were used during training:
 - optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 260, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
 - training_precision: float32
 
+- Name: AdamWeightDecay
+- Learning Rate:
+  - Module: keras.optimizers.schedules
+  - Class: PolynomialDecay
+  - Config:
+    - Initial Learning Rate: 2e-05
+    - Decay Steps: 260
+    - End Learning Rate: 0.0
+    - Power: 1.0
+    - Cycle: False
+    - Name: None
+  - Registered Name: None
+- Decay: 0.0
+- Beta 1: 0.9
+- Beta 2: 0.999
+- Epsilon: 1e-08
+- Amsgrad: False
+- Weight Decay Rate: 0.01
+- Training Precision: float32
+    
+
 ### Training results
 
 | Train Loss | Validation Loss | Epoch |