Update README.md

Adding a result section and adjusting a bit the layout

README.md

@@ -13,7 +13,7 @@ This is a model to classify and identify the accent of a UK or Ireland speaker a
 
 The model implements transfer learning feature extraction using [Yamnet](https://tfhub.dev/google/yamnet/1) model in order to train a model.
 
-## Yamnet Model
+### Yamnet Model
 Yamnet is an audio event classifier trained on the AudioSet dataset to predict audio events from the AudioSet ontology. It is available on TensorFlow Hub.
 Yamnet accepts a 1-D tensor of audio samples with a sample rate of 16 kHz.   
 As output, the model returns a 3-tuple:   
@@ -23,7 +23,7 @@ As output, the model returns a 3-tuple:
 
 We will use the embeddings, which are the features extracted from the audio samples, as the input to our dense model. 
 
-## Dense Model
+### Dense Model
 The dense model that we used consists of:
 - An input layer which is embedding output of the Yamnet classifier.
 - 4 dense hidden layers and 4 dropout layers
@@ -36,6 +36,19 @@ The dense model that we used consists of:
 
 </details>
 
+### Results
+The model achieved the following results:
+
+Results    | Training  | Validation 
+-----------|-----------|------------
+Accuracy   | 55%       | 51%
+AUC        | 0.9090    | 0.8911 
+d-prime    | 1.887     | 1.743 
+
+And the confusion matrix for the validation set is:
+![Model Image](./confusion_matrix.png)
+
+---
 ## Dataset
 
 The dataset used is the
@@ -48,6 +61,6 @@ native speakers of Southern England, Midlands, Northern England, Wales, Scotland
 For more info, please refer to the above link or to the following paper:
 [Open-source Multi-speaker Corpora of the English Accents in the British Isles](https://aclanthology.org/2020.lrec-1.804.pdf)
 
-
-# Demo
+---
+## Demo
 A demo is available in HuggingFace Spaces ...