Update README.md

README.md

@@ -35,6 +35,26 @@ In training of the model, we used the following data sources:
 
 This model is an attention-based encoder-decoder (AED). The encoder is a Wav2vec2 model and the decoder is RNN-based.
 
+## Results
+---
+model-index:
+  - name: wav2vec2-aed-macedonian-asr
+    results:
+      - task:
+          type: speech recognition
+        dataset:
+          name: Macedonian Common Voice V.18.0
+          type: Macedonian Common Voice V.18.0
+        metrics:
+          - name: WER
+            type: WER
+            value: 64.59
+          - name: CER
+            type: CER
+            value: 64.59
+---
+
+
 ## Usage
 
 The model is developed using the [SpeechBrain](https://speechbrain.github.io) toolkit. To use it, you need to install SpeechBrain with: